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Relative Volume at Time█  OVERVIEW This indicator calculates relative volume, which is the ratio of present volume over an average of past volume. It offers two calculation modes, both using a time reference as an anchor.                                          █  CONCEPTS Calculation modes The simplest way to calculate relative volume is by using the ratio of a bar's volume over a simple moving average of the last n volume values. This indicator uses one of two, more subtle ways to calculate both values of the relative volume ratio: current volume:past volume . The two calculations modes are:  1 — Cumulate from Beginning of TF to Current Bar where:     current volume = the cumulative volume since the beginning of the timeframe unit, and     past volume = the mean of volume during that same relative period of time in the past n timeframe units.  2 — Point-to-Point Bars at Same Offset from Beginning of TF where:     current volume = the volume on a single chart bar, and     past volume = the mean of volume values from that same relative bar in time from the past n timeframe units. Timeframe units Timeframe units can be defined in three different ways:  1 — Using Auto-steps, where the timeframe unit automatically adjusts to the timeframe used on the chart:     — A 1 min timeframe unit will be used on 1sec charts,     — 1H will be used for charts at 1min and less,     — 1D will be used for other intraday chart timeframes,     — 1W will be used for 1D charts,     — 1M will be used for charts at less than 1M,     — 1Y will be used for charts at greater or equal than 1M.  2 — As a fixed timeframe that you define.  3 — By time of day (for intraday chart timeframes only), which you also define. If you use non-intraday chart timeframes in this mode, the indicator will switch to Auto-steps. Relative Relativity A relative volume value of 1.0 indicates that current volume is equal to the mean of past volume , but how can we determine what constitutes a high relative volume value? The traditional way is to settle for an arbitrary threshold, with 2.0 often used to indicate that relative volume is worthy of attention. We wanted to provide traders with a contextual method of calculating threshold values, so in addition to the conventional fixed threshold value, this indicator includes two methods of calculating a threshold channel on past relative volume values:  1 — Using the standard deviation of relative volume over a fixed lookback.  2 — Using the highs/lows of relative volume over a variable lookback. Channels calculated on relative volume provide meta-relativity, if you will, as they are relative values of relative volume. █  FEATURES Controls in the "Display" section of inputs determine what is visible in the indicator's pane. The next "Settings" section is where you configure the parameters used in the calculations. The "Column Coloring Conditions" section controls the color of the columns, which you will see in three of the five display modes available. Whether columns are plotted or not, the coloring conditions also determine when markers appear, if you have chosen to show the markers in the "Display" section. The presence of markers is what triggers the alerts configured on this indicator. Finally, the "Colors" section of inputs allows you to control the color of the indicator's visual components. Display Five display modes are available:  • Current Volume Columns : shows columns of current volume , with past volume displayed as an outlined column.  • Relative Volume Columns : shows relative volume as a column.  • Relative Volume Columns With Average : shows relative volume as a column, with the average of relative volume.  • Directional Relative Volume Average : shows a line calculated using the average of +/- values of relative volume.   The positive value of relative volume is used on up bars; its negative value on down bars.  • Relative Volume Average : shows the average of relative volume. A Hull moving average is used to calculate the average used in the three last display modes. You can also control the display of:  • The value or relative volume, when in the first three display modes. Only the last 500 values will be shown.  • Timeframe transitions, shown in the background.  • A reminder of the active timeframe unit, which appears to the right of the indicator's last bar.  • The threshold used, which can be a fixed value or a channel, as determined in the next "Settings" section of inputs.  • Up/Down markers, which appear on transitions of the color of the volume columns (determined by coloring conditions), which in turn control when alerts are triggered.  • Conditions of high volatility. Settings Use this section of inputs to change:  • Calculation mode : this is where you select one of this indicator's two calculation modes for current volume and past volume , as explained in the "Concepts" section.  • Past Volume Lookback in TF units : the quantity of timeframe units used in the calculation of past volume .  • Define Timeframes Units Using : the mode used to determine what one timeframe unit is. Note that when using a fixed timeframe, it must be higher than the chart's timeframe.   Also, note that time of day timeframe units only work on intraday chart timeframes.  • Threshold Mode : Five different modes can be selected:    — Fixed Value : You can define the value using the "Fixed Threshold" field below. The default value is 2.0.    — Standard Deviation Channel From Fixed Lookback : This is a channel calculated using the simple moving average of relative volume     (so not the Hull moving average used elsewhere in the indicator), plus/minus the standard deviation multiplied by a user-defined factor.     The lookback used is the value of the "Channel Lookback" field. Its default is 100.    — High/Low Channel From Beginning of TF : in this mode, the High/Low values reset at the beginning of each timeframe unit.    — High/Low Channel From Beginning of Past Volume Lookback : in this mode, the High/Low values start from the farthest point back where we are calculating past volume ,     which is determined by the combination of timeframe units and the "Past Volume Lookback in TF units" value.    — High/Low Channel From Fixed Lookback : In this mode the lookback is fixed. You can define the value using the "Channel Lookback" field. The default value is 100.  • Period of RelVol Moving Average : the period of the Hull moving average used in the "Directional Relative Volume Average" and the "Relative Volume Average".  • High Volatility is defined using fast and slow ATR periods, so this represents the volatility of price.   Volatility is considered to be high when the fast ATR value is greater than its slow value. Volatility can be used as a filter in the column coloring conditions. Column Coloring Conditions  • Eight different conditions can be turned on or off to determine the color of the volume columns. All "ON" conditions must be met to determine a high/low state of relative volume,   or, in the case of directional relative volume, a bull/bear state.  • A volatility state can also be used to filter the conditions.  • When the coloring conditions and the filter do not allow for a high/low state to be determined, the neutral color is used.  • Transitions of the color of the volume columns determined by coloring conditions are used to plot the up/down markers, which in turn control when alerts are triggered. Colors  • You can define your own colors for all of the oscillator's plots.  • The default colors will perform well on light or dark chart backgrounds. Alerts  • An alert can be defined for the script. The alert will trigger whenever an up/down marker appears in the indicator's display.   The particular combination of coloring conditions and the display settings for up/down markers when you create the alert will determine which conditions trigger the alert.   After alerts are created, subsequent changes to the conditions controlling the display of markers will not affect existing alerts.  • By configuring the script's inputs in different ways before you create your alerts, you can create multiple, functionally distinct alerts from this script.   When creating multiple alerts, it is useful to include in the alert's message a reminder of the particular conditions you used for each alert.  • As is usually the case, alerts triggering "Once Per Bar Close" will prevent repainting. Error messages Error messages will appear at the end of the chart upon the following conditions:  • When the combination of the timeframe units used and the "Past Volume Lookback in TF units" value create a lookback that is greater than 5000 bars.   The lookback will then be recalculated to a value such that a runtime error does not occur.  • If the chart's timeframe is higher than the timeframe units. This error cannot occur when using Auto-steps to calculate timeframe units.  • If relative volume cannot be calculated, for example, when no volume data is available for the chart's symbol.  • When the threshold of relative volume is configured to be visible but the indicator's scale does not allow it to be visible (in "Current Volume Columns" display mode). █  NOTES For traders The chart shown here uses the following display modes: "Current Volume Columns", "Relative Volume Columns With Average", "Directional Relative Volume Average" and "Relative Volume Average". The last one also shows the threshold channel in standard deviation mode, and the TF Unit reminder to the right, in red. Volume, like price, is a value with a market-dependent scale. The only valid reference for volume being its past values, any improvement in the way past volume is calculated thus represents a potential opportunity to traders. Relative volume calculated as it is here can help traders extract useful information from markets in many circumstances, markets with cyclical volume such as Forex being one, obvious case. The relative nature of the values calculated by this indicator also make it a natural fit for cross-market and cross-sector analysis, or to identify behavioral changes in the different futures contracts of the same market. Relative volume can also be put to more exotic uses, such as in evaluating changes in the popularity of exchanges. Relative volume alone has no directional bias. While higher relative volume values always indicate higher trading activity, that activity does not necessarily translate into significant price movement. In a tightly fought battle between buyers and sellers, you could theoretically have very large volume for many bars, with no change whatsoever in bid/ask prices. This of course, is unlikely to happen in reality, and so traders are justified in considering high relative volume values as indicating periods where more attention is required, because imbalances in the strength of buying/selling power during high-volume trading periods can amplify price variations, providing traders with the generally useful gift of volatility. Be sure to give the "Directional Relative Volume Average" a try. Contrary to the always-positive ratio widely used in this indicator, the "Directional Relative Volume Average" produces a value able to determine a bullish/bearish bias for relative volume. Note that realtime bars must be complete for the relative volume value to be confirmed. Values calculated on historical or elapsed realtime bars will not recalculate unless historical volume data changes. Finally, as with all indicators using volume information, keep in mind that some exchanges/brokers supply different feeds for intraday and daily data, and the volume data on both feeds can sometimes vary quite a bit. For coders Our script was written using the PineCoders Coding Conventions for Pine . The description was formatted using the techniques explained in the How We Write and Format Script Descriptions PineCoders publication. Bits and pieces of code were lifted from the MTF Selection Framework and the MTF Oscillator Framework , also by PineCoders. █  THANKS Thanks to dgtrd for suggesting to add the channel using standard deviation. Thanks to adolgov for helpful suggestions on calculations and visuals. Look first. Then leap.
Chỉ báo Pine Script®
của TradingView
52
Renko Dots [racer8]Description: The idea behind this indicator is to have the Renko chart alongside with your main chart. What this indicator does is that it plots the values from the Renko Chart directly onto your main chart. So, you don't have to switch between Renko and OHLC charts anymore! Parameters: Renko Dots has to 2 parameters: Method & Length. Method can be either Traditional or ATR. These are 2 different styles of Renko. Personally, I prefer ATR. Length controls traditional Renko bar's fixed price range or controls the ATR period. Signal Interpretation: These Renko values are plotted as "Renko Dots" on your chart. The dots can be either green, red, or blue depending on market movements. Green - new Renko bar (bullish) Red - new Renko bar (bearish) Blue - no new Renko bar (consolidation) What is a Renko chart? A Renko chart is a special chart that modifies a regular price chart's information about the close price and transforms it into Renko values that are plotted as Renko boxes on a chart. These boxes typically have a fixed range, say 10 pips for example. So if price moves at least 10 pips, a box is formed. Alternatively, the box's range can be set to the ATR....so in this case, each box represents a move of 1 ATR. For more information on Renko charts, visit Investopedia.com, here's the link: www.investopedia.com Renko Dots' advantages over standard Renko chart: - Can compare & apply it to other price charts (ohlc, candlesticks, line charts) - Can apply it to other modified price charts (Heikin-Ashi, Renko, Line-Break) - Can use it to trade alongside with the main chart - Works across all instruments/markets and all time frames - Plots consolidation (blue dots) ... (standard Renko doesn't consider time) Enjoy :)
Chỉ báo Pine Script®
của racer8
11
Detect Sequential Trading - Bot DetectorDetect Sequential Trading - Bot Detector. This tool requires access to volume data . There are many trading bots out there, that trade 24/7 . The detector can be used to understand how the bots are configured - to push the market up or down . Alerts can be set to fire whenever a bot pattern is detected . They must be configured to run Once per Bar . It works well with range charts (1R) . It would work best on 1 second charts or tick charts (currently, TradingView's alert system doesn't work with second charts). The alternative would be 1 minute charts . It can be used on higher timeframes but may be less effective.
Chỉ báo Pine Script®
của KryptoNight
3
Seasonality ForecasterThe Seasonaliity Forcaster indicator takes advantage of the seasonality of the price to create a forecast of how the price could go in the coming days. It is calculated on the DAILY chart that contains about 260 days of market and I recommend using it on that chart. In the properties under " Style " you can turn on or off the chart of what made the price 1, 2, 3, 4, 5 years ago or the average of the last 5, 7 or 10 years (if there are enough data). Under " Input " you can decide the offsets of the various charts, or horizontally align the various charts to find the most similar configuration to what the price has done, so as to understand if the price is following the seasonality of a few years in particular, the vertical alignment is a decimal number that allows you to raise or lower the chart in percentage to better align it with the price. How to use it: 1) under "Properties" --> "Style" deselect all the last years charts and leave just the actual price. 2) select just the last year chart. 3) under input you have the parameters to change to align the last year chart on the actual price chart, the indicator by default show the forecast 100 bars, align the horizontal offset and the vertical alignment to put the 2 charts together, you have to find the macro trend, not the micro, of the last 5 - 6 months. 4) repeat it with another chart, for example 2 years ago 5) then repeat it with all the charts, if there are no macro trend as the actual price deselect the chart 6) when you find a good overlap look for the candle chart to find a good level to enter. That's it that's all.
Chỉ báo Pine Script®
của CipherSage256
5
Relative Strength of 2 securities - Jayy This is an update of the Relative Strength to index as used by Leaf_West.. 4th from the top. my original RS script is 3rd from the top. In this use of the term " Relative Strength" (RS) what is meant is a ratio of one security to another. The RS can be inerpreted in a fashion similar to price action on a regual security chart. If you follow his methods be aware of the different moving averages for the different time periods. From Leaf_West: "on my weekly and monthly R/S charts, I include a 13 EMA of the R/S (brown dash line) and an 8 SMA of the 13 EMA (pink solid line). The indicator on the bottom of the weekly/monthly charts is an 8 period momentum indicator of the R/S line. The red horizontal line is drawn at the zero line. For daily or 130-minute time periods (or shorter), my R/S charts are slightly different - the moving averages of the R/S line include a 20EMA (brown dash line), a 50 EMA (blue dash line) and an 8 SMA of the20 EMA (pink solid line). The momentum indicator is also slightly different from the weekly/monthly charts – here I use a 12 period calculation (vs 8 SMA period for the weekly/monthly charts)." Leaf's website has gone but I if you are interested in his methods message me. What is different from my previous RS: The RS now displays RS candles. So if you prefer to watch price action of candles to a line chart which only plots the ratio of closes then this will be more interesting to you. I have also thrown in a few options to have fun with. Jayy
Chỉ báo Pine Script®
của jayy
3
Momentum of Relative strength to Index Leaf_West styleMomentum of Relative Strength to index as used by Leaf_West. This is to be used with the companion Relative Strength to Index indicator Leaf_West Style. Make sure you use the same index for comparison. If you follow his methods be aware of the different moving averages for the different time periods. From Leaf_West: "on my weekly and monthly R/S charts, I include a 13 EMA of the R/S (brown dash line) and an 8 SMA of the 13 EMA (pink solid line). The indicator on the bottom of the weekly/monthly charts is an 8 period momentum indicator of the R/S line. The red horizontal line is drawn at the zero line. For daily or 130-minute time periods (or shorter), my R/S charts are slightly different - the moving averages of the R/S line include a 20EMA (brown dash line), a 50 EMA (blue dash line) and an 8 SMA of the20 EMA (pink solid line). The momentum indicator is also slightly different from the weekly/monthly charts – here I use a 12 period calculation (vs 8 SMA period for the weekly/monthly charts)." Leaf's methods do evolve and so watch for any changes to the preferred MAs etc..
Chỉ báo Pine Script®
của jayy
3
Relative strength to Index set up as per Leaf_WestRelative Strength to index as used by Leaf_West. If you follow his methods be aware of the different moving averages for the different time periods. From Leaf_West: "on my weekly and monthly R/S charts, I include a 13 EMA of the R/S (brown dash line) and an 8 SMA of the 13 EMA (pink solid line). The indicator on the bottom of the weekly/monthly charts is an 8 period momentum indicator of the R/S line. The red horizontal line is drawn at the zero line. For daily or 130-minute time periods (or shorter), my R/S charts are slightly different - the moving averages of the R/S line include a 20EMA (brown dash line), a 50 EMA (blue dash line) and an 8 SMA of the20 EMA (pink solid line). The momentum indicator is also slightly different from the weekly/monthly charts – here I use a 12 period calculation (vs 8 SMA period for the weekly/monthly charts)." Leaf's methods do evolve and so watch for any changes to the preferred MAs etc..
Chỉ báo Pine Script®
của jayy
3
Smart Money Zones (FVG + OB) + MTF Trend Panel## Overview Professional-grade institutional trading zones indicator that identifies **Fair Value Gaps (FVG)** and **Order Blocks (OB)** - key price inefficiencies where smart money operates. Includes a comprehensive **Multi-Timeframe Trend Panel** for complete market context at a glance. ## Core Features ### 🎯 Fair Value Gaps (FVG) Fair Value Gaps occur when price moves so aggressively that it leaves an "imbalance" or "gap" in the market structure. These zones often act as magnets where price returns to find liquidity. **Detection Logic:** - **Bullish FVG**: When current candle's low is above the high of the candle 2 bars ago - **Bearish FVG**: When current candle's high is below the low of the candle 2 bars ago - Requires strong impulse candle (configurable body percentage threshold) - Color-coded zones: Green for bullish, Red for bearish ### 📦 Order Blocks (OB) Order Blocks represent the last opposite candle before a significant price move - the zone where institutional orders were placed before the breakout. **Detection Logic:** - Identifies the last bearish candle before a strong bullish breakout (Bullish OB) - Identifies the last bullish candle before a strong bearish breakout (Bearish OB) - Validates breakout strength using ATR multiplier (1.2x default) - Color-coded zones: Blue for bullish, Orange for bearish ### 📊 Multi-Timeframe Trend Panel Real-time trend analysis across **7 timeframes** displayed in an elegant dashboard: - **1 Minute** - Ultra short-term scalping - **5 Minutes** - Short-term momentum - **15 Minutes** - Intraday swings - **30 Minutes** - Session trends - **1 Hour** - Multi-session trends - **4 Hours** - Daily structure - **Daily** - Long-term direction **Visual Indicators:** - 🟢 Green circle = Bullish trend - 🔴 Red circle = Bearish trend - Clean, professional table design with customizable position and size ## Intelligence Features ### 🧠 Zone Strength Rating Every zone is automatically classified by strength based on size relative to ATR: - **VERY STRONG** - 2.0x ATR or more (major institutional zones) - **STRONG** - 1.5x to 2.0x ATR (significant zones) - **MEDIUM** - 1.0x to 1.5x ATR (moderate zones) - **WEAK** - Below 1.0x ATR (minor zones) Strength rating helps you prioritize which zones to trade from! ### 📉 Smart Mitigation Tracking Zones automatically track how much they've been "filled" or mitigated: - Calculates penetration percentage as price enters the zone - Zones turn **gray** when 50%+ mitigated or fully filled - Option to **auto-delete** mitigated zones to keep chart clean - Live zones extend dynamically with price action ### 🎨 Trend Filter (Optional) When enabled, only shows zones aligned with the current trend: - Uses customizable MA period (default 50) - Bullish zones only appear in uptrend - Bearish zones only appear in downtrend - Reduces noise and false signals significantly ## Customization Options ### Display Settings - Toggle FVGs and OBs independently - Adjust max zones per type (5-200) - Choose to remove or gray out mitigated zones - Color customization for all zone types ### Detection Parameters - **Min Impulse Body %**: Controls how strong the impulse candle must be (0.3-1.0) - **Order Block Lookback**: How many bars to look back for OB validation (5-50) - **ATR Length**: Period for ATR calculation (5-50) ### Trend Filter - Enable/disable trend filtering - Adjustable MA period for trend determination ### MTF Panel - Show/hide the trend panel - 4 position options: Top Right, Top Left, Bottom Right, Bottom Left - 3 size options: Small, Normal, Large - Customizable MA period for trend calculation across all timeframes ## Trading Applications ### 1. **Liquidity Grab Entries** Wait for price to sweep a zone (50%+ mitigation) then enter on reversal. Smart money often "hunts" these zones before the real move begins. ### 2. **Confluence Trading** Look for zones that align with: - Multiple timeframe trends showing same direction - Multiple FVGs/OBs stacking in same area - Key support/resistance levels ### 3. **Breakout Confirmation** Use Order Blocks to confirm the strength of breakouts. Strong OBs indicate institutional participation. ### 4. **Retracement Entries** Enter when price returns to a fresh, unmitigated zone in the direction of the higher timeframe trend. ### 5. **Range Trading** Identify FVG zones at range extremes - price often reverses at these inefficiencies. ## How It Works **Fair Value Gaps** form when the middle candle creates such aggressive movement that it leaves a price gap between the high/low of surrounding candles. Institutional traders know these gaps get filled. **Order Blocks** mark the origin of major moves. The last opposite-colored candle before a breakout is where large orders were placed. Price often returns to these zones for "retests" before continuing. **Mitigation** happens when price returns to fill these zones. The indicator tracks this automatically, showing you which zones are still "fresh" and which have been used up. ## Best Practices ✅ **Use higher timeframe trends** - Always check the MTF panel before taking trades ✅ **Trade fresh zones** - Unmitigated zones (not gray) have the highest probability ✅ **Combine with price action** - Look for rejection wicks and engulfing candles at zones ✅ **Respect zone strength** - VERY STRONG and STRONG zones are most reliable ✅ **Use trend filter** - Especially on lower timeframes to reduce false signals ❌ **Don't overtrade** - Not every zone will react, wait for confirmation ❌ **Don't ignore context** - Check the MTF panel for conflicting trends ❌ **Don't chase** - Wait for price to come to the zone, don't enter mid-zone ## Technical Details - **Non-repainting**: All zones are drawn on confirmed candles only - **Performance optimized**: Uses efficient array management with per-type caps - **Real-time updates**: Zones extend and track mitigation as price moves - **Universal compatibility**: Works on all markets and timeframes ## Recommended Settings by Style **Scalping (1m-5m charts):** - Max zones: 10-15 - Use trend filter: ON - MTF Panel: Focus on 1m-15m trends - Remove mitigated: ON (keep chart clean) **Day Trading (5m-1H charts):** - Max zones: 15-20 - Use trend filter: ON - MTF Panel: Focus on 15m-4H trends - Remove mitigated: OFF (track zone history) **Swing Trading (1H-D charts):** - Max zones: 20+ - Use trend filter: Optional - MTF Panel: Focus on 1H-1D trends - Remove mitigated: OFF (important zones persist) --- ## Perfect For - Smart Money Concept (SMC) traders - ICT methodology followers - Institutional order flow traders - Price action traders seeking key zones - Multi-timeframe analysis enthusiasts **Compatible with all markets:** Forex, Crypto, Stocks, Indices, Commodities, Futures *Trade where the institutions trade. Follow the smart money.*
Chỉ báo Pine Script®
của mikecruz0407
Smart Money Zones (FVG + OB) + MTF Trend Panel## Overview Professional-grade institutional trading zones indicator that identifies **Fair Value Gaps (FVG)** and **Order Blocks (OB)** - key price inefficiencies where smart money operates. Includes a comprehensive **Multi-Timeframe Trend Panel** for complete market context at a glance. ## Core Features ### 🎯 Fair Value Gaps (FVG) Fair Value Gaps occur when price moves so aggressively that it leaves an "imbalance" or "gap" in the market structure. These zones often act as magnets where price returns to find liquidity. **Detection Logic:** - **Bullish FVG**: When current candle's low is above the high of the candle 2 bars ago - **Bearish FVG**: When current candle's high is below the low of the candle 2 bars ago - Requires strong impulse candle (configurable body percentage threshold) - Color-coded zones: Green for bullish, Red for bearish ### 📦 Order Blocks (OB) Order Blocks represent the last opposite candle before a significant price move - the zone where institutional orders were placed before the breakout. **Detection Logic:** - Identifies the last bearish candle before a strong bullish breakout (Bullish OB) - Identifies the last bullish candle before a strong bearish breakout (Bearish OB) - Validates breakout strength using ATR multiplier (1.2x default) - Color-coded zones: Blue for bullish, Orange for bearish ### 📊 Multi-Timeframe Trend Panel Real-time trend analysis across **7 timeframes** displayed in an elegant dashboard: - **1 Minute** - Ultra short-term scalping - **5 Minutes** - Short-term momentum - **15 Minutes** - Intraday swings - **30 Minutes** - Session trends - **1 Hour** - Multi-session trends - **4 Hours** - Daily structure - **Daily** - Long-term direction **Visual Indicators:** - 🟢 Green circle = Bullish trend - 🔴 Red circle = Bearish trend - Clean, professional table design with customizable position and size ## Intelligence Features ### 🧠 Zone Strength Rating Every zone is automatically classified by strength based on size relative to ATR: - **VERY STRONG** - 2.0x ATR or more (major institutional zones) - **STRONG** - 1.5x to 2.0x ATR (significant zones) - **MEDIUM** - 1.0x to 1.5x ATR (moderate zones) - **WEAK** - Below 1.0x ATR (minor zones) Strength rating helps you prioritize which zones to trade from! ### 📉 Smart Mitigation Tracking Zones automatically track how much they've been "filled" or mitigated: - Calculates penetration percentage as price enters the zone - Zones turn **gray** when 50%+ mitigated or fully filled - Option to **auto-delete** mitigated zones to keep chart clean - Live zones extend dynamically with price action ### 🎨 Trend Filter (Optional) When enabled, only shows zones aligned with the current trend: - Uses customizable MA period (default 50) - Bullish zones only appear in uptrend - Bearish zones only appear in downtrend - Reduces noise and false signals significantly ## Customization Options ### Display Settings - Toggle FVGs and OBs independently - Adjust max zones per type (5-200) - Choose to remove or gray out mitigated zones - Color customization for all zone types ### Detection Parameters - **Min Impulse Body %**: Controls how strong the impulse candle must be (0.3-1.0) - **Order Block Lookback**: How many bars to look back for OB validation (5-50) - **ATR Length**: Period for ATR calculation (5-50) ### Trend Filter - Enable/disable trend filtering - Adjustable MA period for trend determination ### MTF Panel - Show/hide the trend panel - 4 position options: Top Right, Top Left, Bottom Right, Bottom Left - 3 size options: Small, Normal, Large - Customizable MA period for trend calculation across all timeframes ## Trading Applications ### 1. **Liquidity Grab Entries** Wait for price to sweep a zone (50%+ mitigation) then enter on reversal. Smart money often "hunts" these zones before the real move begins. ### 2. **Confluence Trading** Look for zones that align with: - Multiple timeframe trends showing same direction - Multiple FVGs/OBs stacking in same area - Key support/resistance levels ### 3. **Breakout Confirmation** Use Order Blocks to confirm the strength of breakouts. Strong OBs indicate institutional participation. ### 4. **Retracement Entries** Enter when price returns to a fresh, unmitigated zone in the direction of the higher timeframe trend. ### 5. **Range Trading** Identify FVG zones at range extremes - price often reverses at these inefficiencies. ## How It Works **Fair Value Gaps** form when the middle candle creates such aggressive movement that it leaves a price gap between the high/low of surrounding candles. Institutional traders know these gaps get filled. **Order Blocks** mark the origin of major moves. The last opposite-colored candle before a breakout is where large orders were placed. Price often returns to these zones for "retests" before continuing. **Mitigation** happens when price returns to fill these zones. The indicator tracks this automatically, showing you which zones are still "fresh" and which have been used up. ## Best Practices ✅ **Use higher timeframe trends** - Always check the MTF panel before taking trades ✅ **Trade fresh zones** - Unmitigated zones (not gray) have the highest probability ✅ **Combine with price action** - Look for rejection wicks and engulfing candles at zones ✅ **Respect zone strength** - VERY STRONG and STRONG zones are most reliable ✅ **Use trend filter** - Especially on lower timeframes to reduce false signals ❌ **Don't overtrade** - Not every zone will react, wait for confirmation ❌ **Don't ignore context** - Check the MTF panel for conflicting trends ❌ **Don't chase** - Wait for price to come to the zone, don't enter mid-zone ## Technical Details - **Non-repainting**: All zones are drawn on confirmed candles only - **Performance optimized**: Uses efficient array management with per-type caps - **Real-time updates**: Zones extend and track mitigation as price moves - **Universal compatibility**: Works on all markets and timeframes ## Recommended Settings by Style **Scalping (1m-5m charts):** - Max zones: 10-15 - Use trend filter: ON - MTF Panel: Focus on 1m-15m trends - Remove mitigated: ON (keep chart clean) **Day Trading (5m-1H charts):** - Max zones: 15-20 - Use trend filter: ON - MTF Panel: Focus on 15m-4H trends - Remove mitigated: OFF (track zone history) **Swing Trading (1H-D charts):** - Max zones: 20+ - Use trend filter: Optional - MTF Panel: Focus on 1H-1D trends - Remove mitigated: OFF (important zones persist) --- ## Perfect For - Smart Money Concept (SMC) traders - ICT methodology followers - Institutional order flow traders - Price action traders seeking key zones - Multi-timeframe analysis enthusiasts **Compatible with all markets:** Forex, Crypto, Stocks, Indices, Commodities, Futures *Trade where the institutions trade. Follow the smart money.*
Chỉ báo Pine Script®
của mikecruz0407
VIX Percentile OscillatorWhat is this script? This is a trading tool that helps you decide when to buy or sell options based on market volatility. Think of it as a "fear meter" for the stock market. What is VIX? VIX = Volatility Index (also called the "fear index") When VIX is HIGH → Market is scared/volatile → Options are EXPENSIVE When VIX is LOW → Market is calm → Options are CHEAP What does "Percentile" mean? Instead of just showing VIX price, this script shows where VIX is compared to history. Example: If VIX Percentile = 85% This means VIX is higher than 85% of all past readings Only 15% of the time was VIX higher than now Translation: Volatility is unusually HIGH The 5 Trading Zones The script divides the market into 5 zones: 🔴 EXTREME SELLING ZONE (90-100%) VIX is in the top 10% historically Action: AGGRESSIVELY SELL OPTIONS (collect big premiums) Market panic = expensive options = profit for sellers 🟠 SELLING ZONE (80-89%) VIX is elevated but not extreme Action: SELL OPTIONS (good premiums available) ⚪ NEUTRAL ZONE (20-79%) VIX is normal Action: WAIT or use other strategies 🟢 BUYING ZONE (10-19%) VIX is low Action: BUY OPTIONS (they're cheap) 🟢 EXTREME BUYING ZONE (0-9%) VIX is in the bottom 10% historically Action: AGGRESSIVELY BUY OPTIONS (bargain prices) Market complacency = cheap options = opportunity Understanding the Chart Main Line (Blue/Red/Green): Shows current VIX percentile Color changes based on zone Thick line = easy to see Histogram (Background bars): Red bars = above 50% (high volatility) Green bars = below 50% (low volatility) Purple Momentum Line: Shows if VIX is rising or falling Helps you catch trends early Background Colors: Light red/orange = Selling zones Light green = Buying zones Triangle Markers: Appear when entering new zones "EXTREME" label = strongest signals The Statistics Table (Top Right) VIX Price: Current VIX value (e.g., 16.50) Percentile: Where VIX ranks (0-100%) Z-Score: Statistical measure Above +2 or below -2 = extreme Red text = unusually high/low Momentum: Rate of change Red = rising (volatility increasing) Green = falling (volatility decreasing) Avg VIX: Average VIX over lookback period Current Zone: Which zone you're in right now Bars in Zone: How long you've been in this zone Simple Trading Rules FOR OPTION SELLERS (Premium Collectors): ✅ SELL when: Percentile > 80% (especially > 90%) High premiums available Examples: Sell covered calls, cash-secured puts, credit spreads FOR OPTION BUYERS (Hedgers/Speculators): ✅ BUY when: Percentile < 20% (especially < 10%) Cheap options available Examples: Buy protective puts, long calls, debit spreads Key Settings You Can Adjust Lookback Period (default: 252) How far back to compare (252 = 1 year of trading days) Longer = smoother, more stable Shorter = more sensitive to recent changes Smoothing Period (default: 3) Reduces noise/wiggling Higher = smoother line Lower = more responsive Zone Thresholds: Extreme Sell: 90% Sell: 80% Buy: 20% Extreme Buy: 10% You can customize these! Real-World Example Scenario: VIX Percentile jumps to 92% What this means: VIX is higher than 92% of all past readings Market is in panic mode Option premiums are INFLATED Trading Action: ✅ Sell covered calls on stocks you own ✅ Sell cash-secured puts on stocks you want to buy ✅ Sell credit spreads ❌ DON'T buy expensive options right now Why it works: When fear is extreme, it usually calms down eventually. You profit as premiums deflate. Important Reminders ⚠️ This is a TIMING tool, not a crystal ball It tells you WHEN premiums are expensive/cheap It doesn't tell you WHICH options to trade You still need proper risk management ⚠️ Works on ALL timeframes Daily charts = swing trading Weekly charts = position trading Intraday charts = day trading volatility ⚠️ Best for: Option sellers during high VIX (>80%) Option buyers during low VIX (<20%) Portfolio hedging decisions Volatility trading strategies Bottom Line: This script helps you buy options when they're cheap and sell options when they're expensive. It's like shopping for sales, but for volatility! DISCLAIMER: This information is provided for educational purposes only and should not be considered financial, investment, or trading advice. Please do boost if you like it. Happy Trading.
Chỉ báo Pine Script®
của kingshukghosh71
Trinity Real Move Detector DashboardRelease Notes (critical) 1. This code "will" require tweaks for different timeframes to the multiplier, do not assume the data in the table is accurate, cross check it with the Trinity Real Move Detector or another ATR tool, to validate the values in the table and ensure you have set the correct values. 2. I mention this below. But please understand that pine code has a limitation in the number of security calls (40 request.security() calls per script). This code is on the limit of that threshold and I would encourage developers to see if they can find a way around this to improve the script and release further updates. What do we have... The Trinity Real Move Detector Dashboard is a powerful TradingView indicator designed to scan multiple assets at once and show when each one has genuine short-term volatility "energy" — the kind that makes directional options trades (especially 0DTE or short-dated) have a high probability of follow-through, and can be used for swing trading as well. It combines a simple ATR-based volatility filter with a SuperTrend-style bias to tell you not only if the market is "awake" but also in which direction the momentum is leaning. At its core, the indicator calculates the current ATR on your chosen timeframe and compares it to a user-defined percentage of the asset's daily ATR. When the short-term ATR spikes above that threshold, it signals "enough energy" — meaning the underlying is moving with real force rather than choppy noise. The SuperTrend logic then determines bullish or bearish bias, so the status shows "BULLISH ENERGY" (green) or "BEARISH ENERGY" (red) when energy is on, or "WAIT" when it's not. It also counts how many bars the energy has been active and shows the current ATR vs threshold for quick visual confirmation. The dashboard displays all this in a clean table with columns for Symbol, Multiplier, Current ATR, Threshold, Status, Bars Active, and Bias (UP/DOWN). It's perfect for 3-minute charts but works on any timeframe — just adjust the multiplier based on the hints in the settings. Editing symbols and multipliers is straightforward and user-friendly. In the indicator settings, you'll see numbered inputs like "1. Symbol - NVDA" and "1. Multiplier". To change an asset, simply type the new ticker in the symbol field (e.g., replace "NVDA" with "TSLA", "AVGO", or "ADAUSD"). You can also adjust the multiplier for each asset individually in the corresponding "Multiplier" field to make it more or less sensitive — lower numbers give more signals, higher numbers give stricter, higher-quality ones. This lets you customize the dashboard to your watchlist without any coding. For example, if you switch to a 4-hour chart or a slower-moving stock like AVGO, you may need to raise the multiplier (e.g., to 0.3–0.4) to avoid false "bullish" signals during minor bounces in a larger downtrend. One important note about the multiplier and timeframes: the default values are optimized for fast intraday charts (like 3-minute or 5-minute). On higher timeframes (15-minute, 1-hour, 4-hour, or daily), the SuperTrend bias can be too sensitive with low multipliers (1.0 default in the code), leading to situations like the AVGO 4-hour example — where price is clearly downtrending, but the dashboard shows "BULLISH ENERGY" because the tight bands flip on small bounces. To fix this, you need to manually increase the multiplier for that asset (or all assets) in the settings. For 4-hour or daily charts, 0.25–0.35 is often better to match smoother SuperTrend indicators like Trinity. Always test on your timeframe and asset — crypto usually needs slightly lower multipliers than stocks due to higher volatility. TradingView has a hard limit of 40 request.security() calls per script. Each asset in the dashboard requires several calls (current ATR, daily ATR, SuperTrend components, etc.), so with the full ATR-based bias, you can safely monitor about 6–8 assets before hitting the limit. Adding more symbols increases the number of calls and will trigger the "too many securities" error. This is a platform restriction to prevent excessive server load, and there's no official way around it in a single script. Some advanced coders use tricks like caching or lower-timeframe requests to squeeze in a few more, but for reliability, sticking to 6–8 assets is recommended. If you need more, the common workaround is to create two separate indicators (e.g., one for stocks, one for crypto) and add both to the same chart. Overall, this dashboard gives you a professional-grade multi-asset scanner that filters out low-energy noise and highlights real momentum opportunities across stocks and crypto — all in one glance. It's especially valuable for options traders who want to avoid theta decay on weak moves and only strike when the market has true fuel. By tweaking the per-symbol multipliers in the settings, you can perfectly adapt it to any timeframe or asset behavior, avoiding issues like the AVGO false bullish signal on higher timeframes.
Chỉ báo Pine Script®
của EMA34TRADER
Volatility Value BandsThis indicator is a modern adaptation of Mark Helweg's original Value Charts concept, focused on visually displaying volatility zones and "extreme value" areas directly on the price chart. It does not replicate the original work but draws inspiration from the logic of normalizing price by volatility to highlight statistically stretched regions. 1. Introduction This study displays three lines directly on the chart: - a central reference line (base), - an upper overvaluation band, - and a lower undervaluation band. The bands are calculated from the relationship between price, moving average, and volatility (via true range/ATR), following Mark Helweg's Value Charts concept but with a custom implementation and adjustable parameters for different assets and timeframes. This allows objectively visualizing when price is in a statistically extended region relative to its recent behavior. 2. Key Features - Volatility-normalized base The indicator converts price deviation into "value units" using a combination of moving average and smoothed volatility (true range/ATR), making levels comparable across different assets and time horizons. - Auto-adjusting limits (optional) An automatic mode can calculate upper and lower limits from recent value unit extremes, using a configurable sampling window and percentile, allowing bands to adapt to the current volatility regime without manual recalibration. - Direct plot on price chart The three lines (central, upper, and lower) are drawn directly on the main asset chart (`overlay`), making it easy to read context: it's clear when price "touches" or breaks the volatility bands without switching to a separate pane. - Flexible parameters Users can control: - base moving average period (length) - volatility factor (manual or automatic) - independent windows for volatility and limits calculation - limits mode (auto or manual) and percentile used This allows adapting behavior to different markets (stocks, indices, forex, crypto). 3. How to Use - Basic interpretation - When price approaches or exceeds the upper band, it indicates a statistically overvalued zone where the asset is stretched upward relative to recent volatility. - When price approaches or exceeds the lower band, it indicates a statistically undervalued zone. - The central line serves as a reference for recent "average value," derived from the base moving average. - Recommended initial setup - Choose the Value Chart period (e.g., 144 bars) for the base. - Enable automatic limits mode for coherent bands matching the asset's volatility. - Adjust the limits window and percentile for tighter bands (more signals) or wider bands (fewer but more extreme). - Best practices - Use bands as context filters, not standalone buy/sell signals. Combine with trend, market structure, or other confirmation indicators. - Avoid decisions solely because price touched a band; in strong trends, price can "walk the edge" for extended periods. - Always follow TradingView community rules when publishing: clearly state in the description that the study is "inspired by Mark Helweg's Value Charts concept," without claiming official status, reproducing proprietary code, or violating copyrights.
Chỉ báo Pine Script®
của destrobr0685
Advanced Confluence DashboardAdvanced Confluence Dashboard - Multi-Indicator Technical Analysis Tool OVERVIEW The Advanced Confluence Dashboard is a comprehensive technical analysis tool designed to help traders identify high-probability trade setups by tracking multiple technical indicators simultaneously. The indicator displays up to 13 different technical confluences in an easy-to-read dashboard format, providing both individual signals and an overall market bias percentage. Switch between full table view and condensed view for maximum chart flexibility. FEATURES - 13 Technical Confluences: RSI, VWAP, EMA Cross (9/21), MACD, Stochastic, Trend (50 EMA), Bollinger Bands, ADX Strength, Price Momentum, Volume Breakout, VWAP Bands, 200 EMA, and Price Action (Higher Highs/Lower Lows) - Real-time Confluence Scoring: Automatically calculates bullish vs bearish signal strength - Multi-Timeframe Support: Analyze indicators on any timeframe while viewing your chart on another - Customizable Display: Toggle individual indicators on/off, adjust table position, size, and transparency - ATR Information: Optional ATR display for volatility-based position sizing - Condensed View Mode: Ultra-minimal display showing only confluence score and ATR (perfect for scalpers who want maximum chart visibility) - Full Table View: Detailed breakdown of each indicator's value and signal - Color-Coded Signals: Green (bullish), red (bearish), white (neutral) for instant visual clarity HOW IT WORKS The indicator evaluates each enabled technical indicator and assigns it either a bullish or bearish signal based on its current state. The confluence score shows how many indicators are aligned in each direction, giving you a clear percentage-based view of market bias. For example, if 8 out of 13 indicators are bullish, you'll see a 62% LONG BIAS signal. DISPLAY MODES Full View: Shows all enabled indicators with their current values and signals in a detailed table format. Perfect for understanding exactly which indicators are bullish or bearish and why. Condensed View: Shows only the confluence score (e.g., "4/13 LONG | 9/13 SHORT - SHORT BIAS 69%") and optional ATR information. This minimal display keeps your chart clean while still providing the essential confluence data you need for quick trading decisions. Ideal for scalpers and traders who want maximum chart space. CONFLUENCES EXPLAINED - RSI: Momentum oscillator (>50 bullish, <50 bearish, shows overbought/oversold) - VWAP: Volume-weighted average price (above = bullish, below = bearish) - EMA Cross: Fast EMA (9) vs Slow EMA (21) with price position - MACD: Trend-following momentum (line above signal = bullish) - Stochastic: Momentum oscillator (>50 bullish, <50 bearish) - Trend (50 EMA): Price position relative to 50-period EMA - Bollinger Bands: Volatility and mean reversion (above middle = bullish) - ADX Strength: Trend strength indicator (shows strong trends) - Price Momentum: Rate of price change over specified period - Volume Breakout: Detects unusual volume with directional bias - VWAP Bands: Standard deviation bands around VWAP - 200 EMA: Long-term trend indicator - Price Action: Higher Highs and Lower Lows pattern detection SETTINGS Timeframe Settings: - Indicator Timeframe: Analyze indicators on a different timeframe than your chart Display Options: - Condensed View: Toggle between full table and minimal display - Show ATR Info: Display/hide ATR information - Table Position: 9 positions (top/middle/bottom + left/center/right) - Text Size: Auto, tiny, small, normal, large, huge - Table Transparency: 0-100% - Border Width: 1-5 pixels Confluence Toggles: - Enable/disable any of the 13 confluences individually - Confluence score automatically adjusts based on enabled indicators Indicator Settings: - RSI Length (default: 14) - ATR Length (default: 14) - Fast/Slow EMA (default: 9/21) - Trend EMA (default: 50) - Volume SMA Length (default: 20) - Volume Breakout Multiplier (default: 2.0x) - Bollinger Bands Length/StdDev (default: 20/2.0) - ADX Length (default: 14) - ADX Strength Threshold (default: 25) - Momentum Length (default: 10) IDEAL USE CASES - Scalping: Quick identification of confluence for fast entries/exits - use condensed view for clean charts - Day Trading: Multi-timeframe analysis for intraday setups - Swing Trading: Confirmation of longer-term bias - Risk Management: Higher confluence = higher probability trades - Trade Filtering: Only take trades when confluence reaches your threshold - Multi-Monitor Setups: Use condensed view on execution charts, full view on analysis charts HOW TO USE 1. Add the indicator to your chart 2. Toggle on/off the confluences you prefer to use 3. Choose between Full View (detailed) or Condensed View (minimal) 4. Adjust the table position and size to your preference 5. Look for high confluence percentages (70%+ is strong bias) 6. Use the individual indicator signals (full view) to understand market structure 7. Combine with your trading strategy for entry/exit confirmation TIPS - Use Condensed View when scalping to keep your chart clean and uncluttered - Switch to Full View when you need to analyze which specific indicators are conflicting - Higher confluence doesn't guarantee success - always use proper risk management - Consider using 60%+ confluence as a minimum threshold for trades - Pay attention to which specific indicators are aligned vs conflicting - Use the ATR display for quick reference on position sizing - Experiment with different timeframes to find what works for your style - Disable indicators you don't use to simplify your confluence scoring DISCLAIMER This indicator is for educational and informational purposes only. It does not constitute financial advice, investment advice, trading advice, or any other type of advice. Trading and investing in financial markets involves substantial risk of loss and is not suitable for every investor. Past performance is not indicative of future results. Always do your own research and consult with a qualified financial advisor before making any investment decisions.
Chỉ báo Pine Script®
của TradeManager_PRO
2
BTC Mon 8am Buy / Wed 2pm Sell (NY Time, Daily + Intraday)This strategy implements a fixed weekly time-based trading schedule for Bitcoin, using New York market hours as the reference clock. It is designed to test whether a consistent pattern exists between early-week accumulation and mid-week distribution in BTC price behavior. Entry Rule — Monday 8:00 AM (NY Time) The strategy enters a long position every Monday at exactly 08:00 AM Eastern Time, one hour after the U.S. equities market pre-open activity begins influencing global liquidity. This timing attempts to capture early-week directional moves in Bitcoin, which sometimes occur as traditional markets come online. Exit Rule — Wednesday 2:00 PM (NY Time) The strategy closes the position every Wednesday at 2:00 PM Eastern Time, a point in the week where: U.S. equity markets are still open BTC often experiences mid-week volatility rotations Liquidity is generally high This exit removes exposure before later-week uncertainty and gives a consistent, measurable time window for each trade. Timeframe Compatibility Works on intraday charts (recommended 1h or lower) using precise time-based triggers. Also runs on daily charts, where entries and exits occur on the Monday and Wednesday bars respectively (daily charts cannot show intraday timestamps). All timestamps are synced to America/New_York regardless of the exchange’s native timezone. Trading Frequency Exactly one trade per week, preventing overtrading and allowing comparison of weekly performance across years of historical BTC price data. Purpose of the Strategy This is not a value-based or trend-following system, but a behavioral/time-cycle analysis tool. It helps evaluate whether a repeating short-term edge exists based solely on: Weekday timing Liquidity cycles Institutional market influence BTC’s habitual early-week momentum patterns It is ideal for: Backtesting weekly BTC behavior Studying time-based edges Comparing alternative weekday/time combinations Visualizing weekly P&L structure Risk Notes This strategy does not attempt to predict price direction and should not be assumed profitable without robust backtesting. Time-based edges can appear, disappear, or invert depending on macro conditions. There is no stop loss or risk management included by default, so the strategy reflects raw timing-based performance.
Chiến lược Pine Script®
của hbayatne
Hash Pivot DetectorHash Pivot Detector Professional Support & Resistance Detection with Multi-Timeframe Zone Analysis Developed by Hash Capital Research, the Hash Pivot Detector is a sophisticated indicator designed for identifying key support and resistance levels using pivot-based detection with institutional-grade zone analysis. Key Features Zone-Based Detection Unlike traditional single-line S/R indicators, Hash Pivot Detector uses configurable zones around pivot levels to represent realistic institutional order areas. Adjustable zone width accommodates different asset volatilities. Multi-Timeframe Analysis Displays higher timeframe support/resistance levels alongside current timeframe pivots, providing crucial context for institutional positioning and stronger price barriers. Clean Visual Design Features Hash Capital's signature fluorescent color scheme (pink resistance, cyan support) optimized for dark charts with high contrast and instant visual recognition. Semi-transparent zones keep your chart clean and readable. How It Works The indicator uses pivot high/low detection with configurable left and right bar parameters. When a pivot is confirmed, it plots: Primary support/resistance lines at pivot levels Semi-transparent zones representing realistic order areas Higher timeframe S/R levels as crosses for additional context Recommended Settings For Swing Trading: Pivot Bars: 10-20 left/right Zone Width: 0.5-1.0% HTF: Daily (on 1H-4H charts) For Intraday Trading: Pivot Bars: 5-10 left/right Zone Width: 0.3-0.5% HTF: 1H or 4H (on 5min-15min charts) Asset-Specific Zone Width: Forex/Crypto: 0.3-0.5% Stocks: 0.5-1.0% Volatile Assets: 1.0-2.0% What Makes It Different ✓ Zone-based approach (more realistic than lines) ✓ Multi-timeframe confluence detection ✓ Minimal visual clutter with maximum information ✓ Professional institutional aesthetic ✓ Comprehensive tooltips for easy optimization ✓ No repainting - all pivots are confirmed Best Used For Identifying high-probability entry/exit zones Setting stop-loss and take-profit levels Recognizing breakout/breakdown areas Multi-timeframe confluence analysis Swing trading and position trading Intraday scalping with adjusted parameters Notes Works on all timeframes and markets Fully customizable colors and parameters All settings include detailed optimization guidance Clean code, efficient performance No alerts or notifications (visual analysis only)
Chỉ báo Pine Script®
của Hash_Capital
1
Linear Trajectory & Volume StructureThe Linear Trajectory & Volume Structure indicator is a comprehensive trend-following system designed to identify market direction, volatility-adjusted channels, and high-probability entry points. Unlike standard Moving Averages, this tool utilizes Linear Regression logic to calculate the "best fit" trajectory of price, encased within volatility bands (ATR) to filter out market noise. It integrates three core analytical components into a single interface: Trend Engine: A Linear Regression Curve to determine the mean trajectory. Volume Verification: Filters signals to ensure price movement is backed by market participation. Market Structure: Identifies previous high-volume supply and demand zones for support and resistance analysis. 2. Core Components and Logic The Trajectory Engine The backbone of the system is a Linear Regression calculation. This statistical method fits a straight line through recent price data points to determine the current slope and direction. The Baseline: Represents the "fair value" or mean trajectory of the asset. The Cloud: Calculated using Average True Range (ATR). It expands during high volatility and contracts during consolidation. Trend Definition: Bullish: Price breaks above the Upper Deviation Band. Bearish: Price breaks below the Lower Deviation Band. Neutral/Chop: Price remains inside the cloud. Smart Volume Filter The indicator includes a toggleable volume filter. When enabled, the script calculates a Simple Moving Average (SMA) of the volume. High Volume: Current volume is greater than the Volume SMA. Signal Validation: Reversal signals and structure zones are only generated if High Volume is present, reducing the likelihood of trading false breakouts on low liquidity. Volume Structure (Smart Liquidity) The script automatically plots Support (Demand) and Resistance (Supply) boxes based on pivot points. Creation: A box is drawn only if a pivot high or low is formed with High Volume (if the volume filter is active). Mitigation: The boxes extend to the right. If price breaks through a zone, the box turns gray to indicate the level has been breached. 3. Signal Guide Trend Reversals (Buy/Sell Labels) These are the primary signals indicating a potential change in the macro trend. BUY Signal: Appears when price closes above the upper volatility band after previously being in a downtrend. SELL Signal: Appears when price closes below the lower volatility band after previously being in an uptrend. Pullbacks (Small Circles) These are continuation signals, useful for adding to positions or entering an existing trend. Long Pullback: The trend is Bullish, but price dips momentarily below the baseline (into the "discount" area) and closes back above it. Short Pullback: The trend is Bearish, but price rallies momentarily above the baseline (into the "premium" area) and closes back below it. 4. Configuration and Settings Trend Engine Settings Trajectory Length: The lookback period for the Linear Regression. This is the most critical setting for tuning sensitivity. Channel Multiplier: Controls the width of the cloud. 1.0: Aggressive. Results in narrower bands and earlier signals, but more false positives. 1.5: Balanced (Default). 2.0+: Conservative. Creates a wide channel, filtering out significant noise but delaying entry signals. Signal Logic Show Trend Reversals: Toggles the main Buy/Sell labels. Show Pullbacks: Toggles the re-entry circle signals. Smart Volume Filter: If checked, signals require above-average volume. Unchecking this yields more signals but removes the volume confirmation requirement. Volume Structure Show Smart Liquidity: Toggles the Support/Resistance boxes. Structure Lookback: Defines how many bars constitute a pivot. Higher numbers identify only major market structures. Max Active Zones: Limits the number of boxes on the chart to prevent clutter. 5. Timeframe Optimization Guide To maximize the effectiveness of the Linear Trajectory, you must adjust the Trajectory Length input based on your trading style and timeframe. Scalping (1-Minute to 5-Minute Charts) Recommended Length: 20 to 30 Multiplier: 1.2 to 1.5 Logic: Fast-moving markets require a shorter lookback to react quickly to micro-trend changes. Day Trading (15-Minute to 1-Hour Charts) Recommended Length: 55 (Default) Multiplier: 1.5 Logic: A balance between responsiveness and noise filtering. The default setting of 55 is standard for identifying intraday sessions. Swing Trading (4-Hour to Daily Charts) Recommended Length: 89 to 100 Multiplier: 1.8 to 2.0 Logic: Swing trading requires filtering out intraday noise. A longer length ensures you stay in the trade during minor retracements. 6. Dashboard (HUD) Interpretation The Head-Up Display (HUD) provides a summary of the current market state without needing to analyze the chart visually. Bias: Displays the current trend direction (BULLISH or BEARISH). Momentum: ACCELERATING: Price is moving away from the baseline (strong trend). WEAKENING: Price is compressing toward the baseline (potential consolidation or reversal). Volume: Indicates if the current candle's volume is HIGH or LOW relative to the average. Disclaimer *Trading cryptocurrencies, stocks, forex, and other financial instruments involves a high level of risk and may not be suitable for all investors. This indicator is a technical analysis tool provided for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a guarantee of profit. Past performance of any trading system or methodology is not necessarily indicative of future results.
Chỉ báo Pine Script®
của DarkPoolCrypto
1
Long Only EMA Strategy (9/20 with 200 EMA Filter)Details: This strategy is built around a very simple idea: follow the primary trend and enter only when momentum supports it. It uses three EMAs on a standard candlestick chart: 1. 9‑period EMA – short‑term momentum 2. 20‑period EMA – medium‑term structure 3. 200‑period EMA – long‑term trend filter The strategy is ** long‑only ** and is mainly designed for swing trading and positional trading. It avoids counter‑trend trades by taking entries only when price is trading ** above the 200 EMA **, which is commonly used as a long‑term trend reference. The rules are deliberately kept simple so that they are easy to understand, modify, and test on different markets and timeframes. --- Key Features 1. **Trend‑Filtered Entries** - Fresh long positions are considered only when: - The 9 EMA crosses above the 20 EMA - The closing price is **above** the 200 EMA - This attempts to combine short‑term momentum with a higher‑timeframe trend filter. 2. **Clean Exit Logic** - The long position is exited when the closing price crosses **below** the 20 EMA. - This creates an objective, rule‑based way to trail the trade as long as the medium‑term structure remains intact. 3. **Long‑Only, No Short Selling** - The script intentionally ignores short setups. - This makes it suitable for markets or accounts where short selling is restricted, or for traders who prefer to participate only on the long side of the market. 4. **Simple Visuals** - All three EMAs are plotted directly on the chart: - 9 EMA (fast) - 20 EMA (medium) - 200 EMA (trend) - Trade entries and exits are handled by TradingView’s strategy engine, so users can see results in the Strategy Tester as well as directly on the chart. 5. **Backtest‑Friendly Structure** - Uses TradingView’s built‑in `strategy()` framework. - Can be applied to different symbols, timeframes, and markets (equities, indices, crypto, etc.). - Works on standard candlestick charts, which are supported by TradingView’s backtesting engine. 6. **Configurable in Code** - The EMA periods are defined in the code and can be easily adjusted. - Users can tailor the parameters to fit their own style (for example, faster EMAs for intraday trading, slower EMAs for positional trades). --- How to Use 1. **Add the Strategy to Your Chart** 1. Open any symbol and select a **standard candlestick chart**. 2. Apply the strategy from your “My Scripts” section. 3. Make sure it is enabled so that the trades and results appear. 2. **Select Timeframe** - The logic can be tested on various timeframes: - Higher timeframes (1H, 4H, 1D) for swing and positional setups. - Lower timeframes (5m, 15m) for more active trading, if desired. - Users should experiment and see where the strategy behaves more consistently for their chosen market. 3. **Read the Signals** - **Entry:** - A long trade is opened when the 9 EMA crosses above the 20 EMA while the closing price is above the 200 EMA. - **Exit:** - The open long position is closed when the closing price crosses below the 20 EMA. - All orders are generated automatically once the strategy is attached to the chart. 4. **Use the Strategy Tester** - Go to the **Strategy Tester** tab in TradingView. - Check: - Net profit / drawdown - Win rate and average trade - List of trades and the equity curve - Change the date range and timeframe to see how stable the results are over different periods. 5. **Adjust Parameters if Needed** - Advanced users can open the code and experiment with: - EMA lengths (for example 8/21 with 200, or 10/30 with 200) - Risk sizing and capital settings within the `strategy()` call - Any changes should be thoroughly re‑tested before considering real‑world application. --- Practical Applications 1. **Swing Trading on Daily Charts** - Can be applied to stocks, indices, or ETFs on the daily timeframe. - The 200 EMA acts as a trend filter to stay aligned with the broad direction, while the 9/20 crossover helps catch medium‑term swings inside that trend. 2. **Positional Trades on Higher Timeframes** - On 4H or 1D charts, this approach can help in holding trades for several days to weeks. - The exit rule based on the 20 EMA crossing helps avoid emotional decisions and provides a rules‑based way to trail the trend. 3. **Trend‑Following Filter** - Even if used purely as a filter, the 200 EMA condition can help traders: - Avoid taking long trades when the market is in a clear downtrend. - Focus only on instruments that are trading above their long‑term average. 4. **Educational Use** - The script is intentionally kept straightforward so that newer users can: - Learn how a moving average crossover strategy works. - See how to combine a short‑term signal with a long‑term filter. - Understand how TradingView’s strategy engine handles entries and exits. 5. **Basis for Further Development** - This can serve as a starting point for more advanced systems. - Traders can extend it by adding: - Additional filters (RSI, volume, volatility filters, time‑of‑day filters, etc.) - Risk management rules (fixed stop loss, take profit, trailing stops). - The current version is kept minimal on purpose, so modifications are easy to implement and test. --- Important Notes & Disclaimer 1. This strategy is provided **for testing, research, and educational purposes only**. 2. It is ** not ** a recommendation to buy or sell any financial instrument. 3. Past performance on historical data does not guarantee similar results in live markets. 4. Markets are risky and trading can lead to financial loss; users should always do their own research, manage risk appropriately, and consult a qualified financial professional if needed. 5. Before using any strategy with real capital, it is strongly advised to: - Forward test it on a demo / paper trading account. - Check how it behaves during different market phases (trending, sideways, high‑volatility conditions). You are free to modify the parameters and logic to better align it with your own trading style and risk tolerance.
Chiến lược Pine Script®
của growbharat2005
Advanced ICC Multi-Timeframe 1.0Advanced ICC Multi-Timeframe Trading System A comprehensive implementation and interpretation of the Indication, Correction, Continuation (ICC) trading methodology made popular by Trades by Sci, enhanced with advanced multi-timeframe analysis and automation features. ⚠️ CRITICAL TRADING WARNINGS: DO NOT blindly follow BUY/SELL signals from this indicator This indicator shows potential entry points but YOU must validate each trade PAPER TRADE EXTENSIVELY before risking real capital BACKTEST THOROUGHLY on your chosen instruments and timeframes The ICC methodology requires understanding and discretion - automated signals are guidance only This tool aids analysis but does not replace proper trade planning, risk management, or trader judgment ⚠️ Important Disclaimers: This indicator is not endorsed by or affiliated with Trades by Sci This is an early implementation and interpretation of the ICC methodology May not work exactly as Trades by Sci executes his trades and entries Requires further debugging, backtesting, and real-world validation Completely free to use - no purchase required I'm just one person obsessed with this method and wanted some better visualization of the chart/entries About ICC: The ICC method identifies complete market cycles through three phases: Indication (breakout), Correction (pullback), and Continuation (entry). This indicator automates the identification of these phases and adds powerful features for modern traders. Key Features: Multi-Timeframe Capabilities: Automatic timeframe detection with optimized settings for 5m, 15m, 30m, 1H, 4H, and Daily charts Higher timeframe overlay to view HTF ICC levels on lower timeframe charts for precise entry timing Smart defaults that adjust swing length and consolidation detection based on your timeframe Advanced Phase Tracking: Complete ICC cycle tracking: Indication, Correction, Consolidation, Continuation, and No Setup phases Live structure detection shows potential peaks/troughs before full confirmation Intelligent invalidation logic detects failed setups when market structure reverses Dynamic phase backgrounds for instant visual confirmation Three Types of Entry Signals: Traditional Entries - Price crosses back through the original indication level (strongest signals) "BUY" (green) / "SELL" (red) Breakout Entries - Price breaks out of consolidation range in the same direction "BUY" (green) / "SELL" (red) Reversal Entries (Optional, can be toggled off) - Price breaks consolidation in opposite direction, indicating failed setup "⚠ BUY" (yellow) / "⚠ SELL" (orange) More aggressive, counter-trend signals Can be disabled for more conservative trading Professional Features: Volatility-based support/resistance zones (ATR-adjusted) that adapt to market conditions Historical zone tracking (0-3 configurable) with visual hierarchy Comprehensive real-time info table displaying all key metrics Full alert system for entries, indications, and consolidation detection Visual distinction between high-confidence trend entries and cautionary reversal entries 📖 USAGE GUIDE Entry Signal Types: The indicator provides three types of entry signals with visual distinction: Strong Entries (High Confidence): "BUY" (bright green) / "SELL" (bright red) Includes traditional entries (crossing back through indication level) and breakout entries (breaking consolidation in trend direction) These are trend continuation or breakout signals with higher probability Recommended for all traders Reversal Entries (Caution - Counter-Trend): "⚠ BUY" (yellow) / "⚠ SELL" (orange) Triggered when price breaks out of correction/consolidation in the OPPOSITE direction Indicates a failed setup and potential trend reversal More aggressive, counter-trend plays Can be toggled off in settings for more conservative trading Recommended only for experienced traders or after thorough backtesting Swing Length Settings: The swing length determines how many bars on each side are needed to confirm a swing high/low. This is the most important setting for tuning the indicator to your style. Auto Mode (Recommended for beginners): Toggle "Use Auto Timeframe Settings" ON 5-minute: 30 bars 15-minute: 20 bars 30-minute: 12 bars 1-hour: 7 bars 4-hour: 5 bars Daily: 3 bars Manual Mode: Toggle "Use Auto Timeframe Settings" OFF Lower values (3-7): More aggressive, detects smaller swings Pros: More signals, faster entries, catches smaller moves Cons: More noise, more false signals, requires tighter stops Best for: Scalping, active day trading, volatile markets Higher values (12-20): More conservative, only major swings Pros: More reliable signals, fewer false breakouts, clearer structure Cons: Fewer signals, delayed entries, might miss smaller opportunities Best for: Swing trading, position trading, trending markets Default Manual Setting: 7 bars (balanced for 1H charts) Minimum: 3 bars Consolidation Bars Setting: Determines how many bars without new structure are needed before flagging consolidation. Lower values (3-10): Faster detection, catches brief pauses, more sensitive Best for: Lower timeframes, volatile markets, avoiding any chop Higher values (20-40): More reliable, only flags true extended consolidation Best for: Higher timeframes, trending markets, patient traders Current defaults scale with timeframe (more bars needed on shorter timeframes) Historical S/R Zones: Shows previous support and resistance levels to provide context. Default: 2 historical zones (shows current + 2 previous) Range: 0-3 zones Visual Hierarchy: Older zones are more transparent with dashed borders Usage: Higher numbers (2-3) show more historical context but can clutter the chart. Start with 2 and adjust based on your preference. Live Structure Feature (Yellow Warning ⚠): Provides early warning of potential structure changes before full confirmation. What it does: Detects potential swing highs/lows after just 2 bars instead of waiting for full swing_length confirmation Live Peak: Shows when a high is followed by 2 lower closes (potential top forming) Live Trough: Shows when a low is followed by 2 higher closes (potential bottom forming) Important: These are UNCONFIRMED - they may be invalidated if price reverses Use case: Get early awareness of potential reversals while waiting for confirmation Displayed in: Info table only (no visual markers on chart to reduce clutter) Only shows: Peaks higher than last swing high, or troughs lower than last swing low (filters out noise) Higher Timeframe (HTF) Analysis: View higher timeframe ICC structure while trading on lower timeframes. How to enable: Toggle "Show Higher Timeframe ICC" ON Setup: Set "Higher Timeframe" to your reference timeframe Example: Trading on 15-minute? Set HTF to 240 (4-hour) or 60 (1-hour) Example: Trading on 5-minute? Set HTF to 60 (1-hour) or 15 (15-minute) What it shows: HTF indication levels displayed as dashed lines Blue = HTF Bullish Indication Purple = HTF Bearish Indication HTF phase and levels shown in info table Trading workflow: Check HTF phase for overall market direction Wait for HTF correction phase Drop to lower timeframe to find precise entries Enter when lower TF shows continuation in alignment with HTF Best practice: HTF should be 3-4x your trading timeframe for best results Reversal Entries Toggle: Default: ON (shows all signal types) Toggle OFF for more conservative trading (only trend continuation signals) Recommended: Backtest with both settings to see which works better for your style New traders should consider disabling reversal entries initially Volatility-Based Zones: When enabled, support/resistance zones automatically adjust their height based on ATR (Average True Range). More volatile = wider zones Less volatile = tighter zones Toggle OFF for fixed-width zones Community Feedback Welcome: This is an evolving project and your input is valuable! Please share: Bug reports and issues you encounter Feature requests and suggestions for improvement Results from your backtesting and live trading experience Feedback on the reversal entry feature (too aggressive? working well?) Ideas for better aligning with the ICC methodology Perfect for traders learning or implementing the ICC methodology with the benefit of modern automation, multi-timeframe analysis, and flexible entry signal options.
Chỉ báo Pine Script®
của jadetrue
13
Nifty Scalping System by Rakesh Sharma🎯 What This Indicator Does: Core Features: ✅ Fast Entry/Exit Signals - Quick BUY/SELL labels on chart ✅ 3 Signal Modes: Aggressive - More signals, faster entries Moderate - Balanced (Recommended) Conservative - Fewer but high-quality signals ✅ Automatic Target & Stop Loss - Plotted on chart as soon as you enter ✅ Time Filter - Only trades during your specified hours (9:20 AM - 3:15 PM default) ✅ Trade Statistics - Win rate, W/L ratio tracked automatically ✅ Live Dashboard - Shows trend, RSI, VWAP position, current trade status Indicators Used: 📊 3 EMAs (9, 21, 50) - Trend direction 📈 Supertrend - Primary trend filter 💪 RSI - Momentum & overbought/oversold 💜 VWAP - Intraday support/resistance 📉 ATR - Dynamic stop loss & targets 📊 Volume - Confirmation of moves ⚙️ Best Settings for Nifty/Bank Nifty: For 5-Minute Charts (Most Popular): Signal Mode: Moderate Target R:R: 1.5 (1:1.5 risk-reward) Time Filter: 9:20 AM to 3:15 PM For 3-Minute Charts (More Scalps): Signal Mode: Aggressive Target R:R: 1.0 (quick exits) Time Filter: 9:20 AM to 3:15 PM For 15-Minute Charts (Swing Scalping): Signal Mode: Conservative Target R:R: 2.0 (bigger targets) Time Filter: 9:30 AM to 3:00 PM 💡 How to Use: Step 1: Setup Add indicator to 5-min Nifty or Bank Nifty chart Choose your Signal Mode (start with Moderate) Set Risk:Reward (1.5 is balanced) Enable Time Filter (avoid first 10 mins) Step 2: Trading BUY Signal appears = Go LONG Green label shows entry price Green line = Target Red line = Stop Loss SELL Signal appears = Go SHORT Red label shows entry price Green line = Target Red line = Stop Loss Exit automatically when Target or SL is hit Step 3: Risk Management Automatic SL based on ATR (volatility) Adjustable R:R ratio Never trade outside session hours 🎯 Trading Rules (Important!): ✅ Take the Trade When: Signal appears during trading session Dashboard shows strong trend Volume spike present Price above/below VWAP (for buy/sell) ❌ Avoid Trading When: First 10 minutes (9:15-9:25 AM) Last 15 minutes (3:15-3:30 PM) Dashboard shows "SIDEWAYS" Major news events 📊 Dashboard Explained: FieldWhat It MeansModeYour current signal sensitivityTrendOverall market directionRSIOverbought/Oversold/NeutralPrice vs VWAPAbove = Bullish, Below = BearishCurrent TradeShows if you're in a positionSessionTrading time active or notWin RateYour success % 🚀 Pro Tips for Nifty/Bank Nifty: Best Timeframe: 5-minute chart Best Time: 9:30 AM - 2:30 PM (avoid opening/closing rushes) Risk per Trade: 1-2% of capital max Follow the Trend: Take only BUY in uptrend, SELL in downtrend Use Alerts: Set alerts so you don't miss signals Start Small: Paper trade first with 1 lot ⚡ Quick Start Guide: For Bank Nifty (5-min chart): 1. Signal Mode: Moderate 2. Target R:R: 1.5 3. Trading Hours: 9:20 AM - 3:15 PM 4. Watch for 3-5 signals per day 5. Average 30-50 points per trade For Nifty 50 (5-min chart): 1. Signal Mode: Moderate 2. Target R:R: 1.5 3. Trading Hours: 9:20 AM - 3:15 PM 4. Watch for 3-5 signals per day 5. Average 15-30 points per trade 📈 Expected Performance: Conservative Mode: 2-4 trades/day, 65-70% win rate Moderate Mode: 4-8 trades/day, 55-65% win rate Aggressive Mode: 8-15 trades/day, 45-55% win rate This is a complete scalping system, Rakesh! All you need to do is: Add to chart Wait for signals Follow the targets/stop losses Track your stats Ready to test it? Let me know if you want any adjustments! 🎯💰Claude can make mistakes. Please double-check responses.
Chỉ báo Pine Script®
của rabin97
Multi-Ticker Anchored CandlesMulti-Ticker Anchored Candles (MTAC) is a simple tool for overlaying up to 3 tickers onto the same chart. This is achieved by interpreting each symbol's OHLC data as percentages, then plotting their candle points relative to the main chart's open. This allows for a simple comparison of tickers to track performance or locate relationships between them. > Background The concept of multi-ticker analysis is not new, this type of analysis can be extremely helpful to get a gauge of the over all market, and it's sentiment. By analyzing more than one ticker at a time, relationships can often be observed between tickers as time progresses. While seeing multiple charts on top of each other sounds like a good idea...each ticker has its own price scale, with some being only cents while others are thousands of dollars. Directly overlaying these charts is not possible without modification to their sources. By using a fixed point in time (Period Open) and percentage performance relative to that point for each ticker, we are able to directly overlay symbols regardless of their price scale differences. The entire process used to make this indicator can be summed up into 2 keywords, "Scaling & Anchoring". > Scaling First, we start by determining a frame of reference for our analysis. The indicator uses timeframe inputs to determine sessions which are used, by default this is set to 1 day. With this in place, we then determine our point of reference for scaling. While this could be any point in time, the most sensible for our application is the daily (or session) open. Each symbol shares time, therefore, we can take a price point from a specified time (Opening Price) and use it to sync our analysis over each period. Over the day, we track the percentage performance of each ticker's OHLC values relative to its daily open (% change from open). Since each ticker's data is now tracked based on its opening price, all data is now using the same scale. The scale is simply "% change from open". > Anchoring Now that we have our scaled data, we need to put it onto the chart. Since each point of data is relative to it's daily open (anchor point), relatively speaking, all daily opens are now equal to each other. By adding the scaled ticker data to the main chart's daily open, each of our resulting series will be properly scaled to the main chart's data based on percentages. Congratulations, We have now accurately scaled multiple tickers onto one chart. > Display The indicator shows each requested ticker as different colored candlesticks plotted on top of the main chart. Each ticker has an associated label in front of the current bar, each component of this label can be toggled on or off to allow only the desired information to be displayed. To retain relevance, at the start of each session, a "Session Break" line is drawn, as well as the opening price for the session. These can also be toggled. Note: The opening price is the opening price for ALL tickers, when a ticker crosses the open on the main chart, it is crossing its own opening price as well. > Examples In the chart below, we can see NYSE:MCD NASDAQ:WEN and NASDAQ:JACK overlaid on a NASDAQ:SBUX chart. From this, we can see NASDAQ:JACK was the top gainer on the day. While this was the case, it also fell roughly 4% from its peak near lunchtime. Unlike the top gainer, we can see the other 3 tickers ended their day near their daily high. In the explanations above, the daily timeframe is used since it is the default; however, the analysis is not constrained to only days. The anchoring period can be set to any timeframe period. In the chart below, you can observe the Daily, Weekly, and Monthly anchored charts side-by-side. This can be used on all tickers, timeframes, and markets. While a typical application may be comparing relevant assets... the script is not limited. Below we have a chart tracking COMEX:GCV2026 , FX:EURUSD , and COINBASE:DOGEUSD on the AMEX:SPY chart. While these tickers are not typically compared side-by-side, here it is simply a display of the capabilities of the script. Enjoy!
Chỉ báo Pine Script®
của SamRecio
1
PivotBoss VWAP Bands (Auto TF) - FixedWhat this indicator shows (high level) The indicator plots a VWAP line and three bands above (R1, R2, R3) and three bands below (S1, S2, S3). Band spacing is computed from STD(abs(VWAP − price), N) and multiplied by 1, 2 and 3 to form R1–R3 / S1–S3. The script is timeframe-aware: on 30m/1H charts it uses Weekly VWAP and weekly bands; on Daily charts it uses Monthly VWAP and monthly bands; otherwise it uses the session/chart VWAP. VWAP = the market’s volume-weighted average price (a measure of fair value). Bands = volatility-scaled zones around that fair value. Trading idea — concept summary VWAP = fair value. Price above VWAP implies bullish bias; below VWAP implies bearish bias. Bands = graded overbought/oversold zones. R1/S1 are near-term limits, R2/S2 are stronger, R3/S3 are extreme. Use trend alignment + price action + volume to choose higher-probability trades. VWAP bands give location and magnitude; confirmations reduce false signals. Entry rules (multiple strategies with examples) A. Momentum breakout (trend-following) — preferred on trending markets Setup: Price consolidates near or below R1 and then closes above R1 with above-average volume. Chart: 30m/1H (Weekly VWAP) or Daily (Monthly VWAP) depending on your timeframe. Entry: Enter long at the close of the breakout bar that closes above R1. Stop-loss: Place initial stop below the higher of (VWAP or recent swing low). Example: if price broke R1 at ₹1,200 and VWAP = ₹1,150, set stop at ₹1,145 (5 rupee buffer below VWAP) or below the last swing low if that is wider. Target: Partial target at R2, full target at R3. Trail stop to VWAP or to R1 after price reaches R2. Example numeric: Weekly VWAP = ₹1,150, R1 = ₹1,200, R2 = ₹1,260. Buy at ₹1,205 (close above R1), stop ₹1,145, target1 ₹1,260 (R2), target2 ₹1,320 (R3). B. Mean-reversion fade near bands — for range-bound markets Setup: Market is not trending (VWAP flatish). Price rallies up to R2 or R3 and shows rejection (pin bar, bearish engulfing) on increasing or neutral volume. Entry: Enter short after a confirmed rejection candle that fails to sustain above R2 or R3 (prefer confirmation: close back below R1 or below the rejection candle low). Stop-loss: Just above the recent high (e.g., 1–2 ATR or a fixed buffer above R2/R3). Target: First target VWAP, second target S1. Reduce size if taking R3 fade as it’s an extreme. Example numeric: VWAP = ₹950, R2 = ₹1,020. Price spikes to ₹1,025 and forms a bearish engulfing candle. Enter short at ₹1,015 after the next close below ₹1,020. Stop at ₹1,035, target VWAP ₹950. C. Pullback entries in trending markets — higher probability Setup: Price is above VWAP and trending higher (higher highs and higher lows). Price pulls back toward VWAP or S1 with decreasing downside volume and a reversal candle forms. Entry: Long when price forms a bullish reversal (hammer/inside-bar) with a close back above the pullback candle. Stop-loss: Below the pullback low (or below S2 if a larger stop is justified). Target: VWAP then R1; if momentum resumes, trail toward R2/R3. Example numeric: Price trending above Weekly VWAP at ₹1,400; pullback to S1 at ₹1,360. Enter long at ₹1,370 when a bullish candle closes; stop at ₹1,350; first target VWAP ₹1,400, second target R1 ₹1,450. Exit rules and money management Basic exit hierarchy Hard stop exit — when price hits initial stop-loss. Always use. Target exit — take partial profits at R1/R2 (for longs) or S1/S2 (for shorts). Use trailing stops for the remainder. VWAP invalidation — if you entered long above VWAP and price returns and closes significantly below VWAP, consider exiting (condition depends on timeframe and trade size). Price action exit — reversal patterns (strong opposite candle, bearish/bullish engulfing) near targets or beyond signals to exit. Trailing rules After price reaches R2, move stop to breakeven + a small buffer or to VWAP. After price reaches R3, trail by 1 ATR or lock a defined profit percentage. Position sizing & risk Risk per trade: commonly 0.5–2% of account equity. Determine position size by RiskAmount ÷ (EntryPrice − StopPrice). If the stop distance is large (e.g., trading R3 fades), reduce position size. Filters & confirmation (to reduce false signals) Volume filter: For breakouts, require volume above short-term average (e.g., >20-period average). Breakouts on low volume are suspect. Trend filter: Only take breakouts in the direction of the higher-timeframe trend (for example, use Daily/Weekly trend when trading 30m/1H). Candle confirmation: Prefer entries on close of the confirming candle (not intrabar noise). Multiple confirmations: When R1 break happens but RSI/plotted momentum indicator does not confirm, treat signal as lower probability. Special considerations for timeframe-aware logic On 30m/1H the script uses Weekly VWAP/bands. That means band levels change only on weekly candles — they are strong, structural levels. Treat R1/R2/R3 as significant and expect fewer, stronger signals. On Daily, the script uses Monthly VWAP/bands. These are wider; trades should allow larger stops and smaller position sizes (or be used for swing trades). On other intraday charts you get session VWAP (useful for intraday scalps). Example: If you trade 1H and the Weekly R1 is at ₹2,400 while session VWAP is ₹2,350, a close above Weekly R1 represents a weekly-level breakout — prefer that for swing entries rather than scalps. Example trade walkthrough (step-by-step) Context: 1H chart, auto-mapped → Weekly VWAP used. Weekly VWAP = ₹3,000; R1 = ₹3,080; R2 = ₹3,150. Price consolidates below R1. A large bullish candle closes at ₹3,085 with volume 40% above the 20-bar average. Entry: Buy at close ₹3,085. Stop: Place stop at ₹2,995 (just under Weekly VWAP). Risk = ₹90. Position size: If risking ₹900 per trade → size = 900 ÷ 90 = 10 units. Targets: Partial take-profit at R2 = ₹3,150; rest trailed with stop moved to breakeven after R2 is hit. If price reverses and closes below VWAP within two bars, exit immediately to limit drawdown. When to avoid trading these signals High-impact news (earnings, macro announcements) that can gap through bands unpredictably. Thin markets with low volume — VWAP loses significance when volumes are extremely low. When weekly/monthly bands are flat but intraday price is volatile without clear structure — prefer session VWAP on smaller timeframes. Alerts & automation suggestions Alert on close above R1 / below S1 (use the built-in alertcondition the script adds). For higher-confidence alerts, require volume filter in the alert condition. Automated order rules (if you automate): use limit entry at breakout close plus a small slippage buffer, immediate stop order, and OCO for TP and SL.
Chỉ báo Pine Script®
của krkone
Mancini Levels (with alerts, majors only option)This indicator displays Support and Resistance levels on ES or MES (E-mini and Micro E-mini S&P 500 Index Futures) charts by parsing text copied and pasted by the user. (The levels displayed on the chart above are not valid, they are for illustration only) Features Option to display only the major levels The chart on the left displays both major and minor levels, distinguished by color and line style. The chart on the right shows only the major levels; minor levels are disabled: Alert function for when the price approaches a major level or zone (within a customizable distance). The script provides a trigger for alerts. When creating an alert, you can then choose your desired frequency (Only once/Once per bar/Once per bar close/Once per minute) from the TradingView alert pop-up. The alert message contains the current price and the approached major level price. Customizable Lookback Period Set how many days into the past the lines should appear (Subject to a maximum of 5000 bars). To display lines for the current day only, set this value to 1. Functions only on ES or MES (E-mini and Micro E-mini S&P 500 Index Futures) charts, as the text format is intended for these instruments. How to Use Copy and paste the support and resistance levels into the indicator's "Supports" and "Resistances" input fields. Format Example: For the "Supports" input: 6772-6770 (major), 6764 (major), 6757, 6751-54 For the "Resistances" input: 6799 (major), 6814, 6828-30, 6839-40 (major) The indicator supports the display of zone levels in multiple formats (e.g., 6235-45 and 6235-6245 and 6245-6235 are all valid). For hundred- or thousand-point rollovers, please use only the full number format: 5995-6005. The indicator includes an error-checking system to help you troubleshoot common setup issues. An on-chart error label will be displayed on the chart if: The chart instrument is not ES or MES. The "Supports" and "Resistances" fields are both empty. A data formatting error is detected (e.g., non-numeric characters, incomplete zones, etc.). How It Works For optimal resource efficiency and performance, the script executes all computationally intensive tasks only once, on the very first bar when the chart loads (if barstate.isfirst). One-time Parsing: The parsing, splitting, and conversion of the text (string) formatted levels, which are provided in the settings, occurs only once. Persistent Objects: The lines (line.new), fills (linefill.new), and price labels (label.new) that mark the levels are all persistent graphical objects. The script creates these on the first bar and stores their references in arrays declared with the var keyword. No Redrawing: On subsequent bars, the indicator does not delete and redraw these objects. It merely updates the x-axis position of the existing lines and labels (line.set_x1, line.set_x2, label.set_x) on the last bar (if barstate.islast), ensuring they always remain on the right edge of the chart, following the formation of new bars. By default, TradingView charts have a limit of 50 lines and 50 labels. Given that the number of levels often exceeds this, the script's drawing logic is as follows: The number of displayable lines and labels has been increased (to 500) in the indicator's declaration line. The script applies a prioritized order when drawing levels and labels. Major levels have priority over minor levels during drawing. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss and is not suitable for every investor. Past performance shown in examples is not indicative of future results. The indicator provides signals and calculations, but trading decisions are solely your responsibility. Always: Test strategies on paper before using real money Never risk more than you can afford to lose Understand that all trading involves risk Consider seeking advice from a licensed financial advisor The publisher makes no guarantees regarding accuracy, profitability, or performance. Use at your own risk.
Chỉ báo Pine Script®
của siisan
1
Bifurcation Zone - CAEBifurcation Zone — Cognitive Adversarial Engine (BZ-CAE) Bifurcation Zone — CAE (BZ-CAE) is a next-generation divergence detection system enhanced by a Cognitive Adversarial Engine that evaluates both sides of every potential trade before presenting signals. Unlike traditional divergence indicators that show every price-oscillator disagreement regardless of context, BZ-CAE applies comprehensive market-state intelligence to identify only the divergences that occur in favorable conditions with genuine probability edges. The system identifies structural bifurcation points — critical junctures where price and momentum disagree, signaling potential reversals or continuations — then validates these opportunities through five interconnected intelligence layers: Trend Conviction Scoring , Directional Momentum Alignment , Multi-Factor Exhaustion Modeling , Adversarial Validation , and Confidence Scoring . The result is a selective, context-aware signal system that filters noise and highlights high-probability setups. This is not a "buy the arrow" indicator. It's a decision support framework that teaches you how to read market state, evaluate divergence quality, and make informed trading decisions based on quantified intelligence rather than hope. What Sets BZ-CAE Apart: Technical Architecture The Problem With Traditional Divergence Indicators Most divergence indicators operate on a simple rule: if price makes a higher high and RSI makes a lower high, show a bearish signal. If price makes a lower low and RSI makes a higher low, show a bullish signal. This creates several critical problems: Context Blindness : They show counter-trend signals in powerful trends that rarely reverse, leading to repeated losses as you fade momentum. Signal Spam : Every minor price-oscillator disagreement generates an alert, overwhelming you with low-quality setups and creating analysis paralysis. No Quality Ranking : All signals are treated identically. A marginal divergence in choppy conditions receives the same visual treatment as a high-conviction setup at a major exhaustion point. Single-Sided Evaluation : They ask "Is this a good long?" without checking if the short case is overwhelmingly stronger, leading you into obvious bad trades. Static Configuration : You manually choose RSI 14 or Stochastic 14 and hope it works, with no systematic way to validate if that's optimal for your instrument. BZ-CAE's Solution: Cognitive Adversarial Intelligence BZ-CAE solves these problems through an integrated five-layer intelligence architecture: 1. Trend Conviction Score (TCS) — 0 to 1 Scale Most indicators check if ADX is above 25 to determine "trending" conditions. This binary approach misses nuance. TCS is a weighted composite metric: Formula : 0.35 × normalize(ADX, 10, 35) + 0.35 × structural_strength + 0.30 × htf_alignment Structural Strength : 10-bar SMA of consecutive directional bars. Captures persistence — are bulls or bears consistently winning? HTF Alignment : Multi-timeframe EMA stacking (20/50/100/200). When all EMAs align in the same direction, you're in institutional trend territory. Purpose : Quantifies how "locked in" the trend is. When TCS exceeds your threshold (default 0.80), the system knows to avoid counter-trend trades unless other factors override. Interpretation : TCS > 0.85: Very strong trend — counter-trading is extremely high risk TCS 0.70-0.85: Strong trend — favor continuation, require exhaustion for reversals TCS 0.50-0.70: Moderate trend — context matters, both directions viable TCS < 0.50: Weak/choppy — reversals more viable, range-bound conditions 2. Directional Momentum Alignment (DMA) — ATR-Normalized Formula : (EMA21 - EMA55) / ATR14 This isn't just "price above EMA" — it's a regime-aware momentum gauge. The same $100 price movement reads completely differently in high-volatility crypto versus low-volatility forex. By normalizing with ATR, DMA adapts its interpretation to current market conditions. Purpose : Quantifies the directional "force" behind current price action. Positive = bullish push, negative = bearish push. Magnitude = strength. Interpretation : DMA > 0.7: Strong bullish momentum — bearish divergences risky DMA 0.3 to 0.7: Moderate bullish bias DMA -0.3 to 0.3: Balanced/choppy conditions DMA -0.7 to -0.3: Moderate bearish bias DMA < -0.7: Strong bearish momentum — bullish divergences risky 3. Multi-Factor Exhaustion Modeling — 0 to 1 Probability Single-metric exhaustion detection (like "RSI > 80") misses complex market states. BZ-CAE aggregates five independent exhaustion signals: Volume Spikes : Current volume versus 50-bar average 2.5x average: 0.25 weight 2.0x average: 0.15 weight 1.5x average: 0.10 weight Divergence Present : The fact that a divergence exists contributes 0.30 weight — structural momentum disagreement is itself an exhaustion signal. RSI Extremes : Captures oscillator climax zones RSI > 80 or < 20: 0.25 weight RSI > 75 or < 25: 0.15 weight Pin Bar Detection : Identifies rejection candles (2:1 wick-to-body ratio, indicating failed breakout attempts): 0.15 weight Extended Runs : Consecutive bars above/below EMA20 without pullback 30+ bars: 0.15 weight (market hasn't paused to consolidate) Total exhaustion score is the sum of all applicable weights, capped at 1.0. Purpose : Detects when strong trends become vulnerable to reversal. High exhaustion can override trend filters, allowing counter-trend trades at genuine turning points that basic indicators would miss. Interpretation : Exhaustion > 0.75: High probability of climax — yellow background shading alerts you visually Exhaustion 0.50-0.75: Moderate overextension — watch for confirmation Exhaustion < 0.50: Fresh move — trend can continue, counter-trend trades higher risk 4. Adversarial Validation — Game Theory Applied to Trading This is BZ-CAE's signature innovation. Before approving any signal, the engine quantifies BOTH sides of the trade simultaneously: For Bullish Divergences , it calculates: Bull Case Score (0-1+) : Distance below EMA20 (pullback quality): up to 0.25 Bullish EMA alignment (close > EMA20 > EMA50): 0.25 Oversold RSI (< 40): 0.25 Volume confirmation (> 1.2x average): 0.25 Bear Case Score (0-1+) : Price below EMA50 (structural weakness): 0.30 Very oversold RSI (< 30, indicating knife-catching): 0.20 Differential = Bull Case - Bear Case If differential < -0.10 (default threshold), the bear case is dominating — signal is BLOCKED or ANNOTATED. For Bearish Divergences , the logic inverts (Bear Case vs Bull Case). Purpose : Prevents trades where you're fighting obvious strength in the opposite direction. This is institutional-grade risk management — don't just evaluate your trade, evaluate the counter-trade simultaneously. Why This Matters : You might see a bullish divergence at a local low, but if price is deeply below major support EMAs with strong bearish momentum, you're catching a falling knife. The adversarial check catches this and blocks the signal. 5. Confidence Scoring — 0 to 1 Quality Assessment Every signal that passes initial filters receives a comprehensive quality score: Formula : 0.30 × normalize(TCS) // Trend context + 0.25 × normalize(|DMA|) // Momentum magnitude + 0.20 × pullback_quality // Entry distance from EMA20 + 0.15 × state_quality // ADX + alignment + structure + 0.10 × divergence_strength // Slope separation magnitude + adversarial_bonus (0-0.30) // Your side's advantage Purpose : Ranks setup quality for filtering and position sizing decisions. You can set a minimum confidence threshold (default 0.35) to ensure only quality setups reach your chart. Interpretation : Confidence > 0.70: Premium setup — consider increased position size Confidence 0.50-0.70: Good quality — standard size Confidence 0.35-0.50: Acceptable — reduced size or skip if conservative Confidence < 0.35: Marginal — blocked in Filtering mode, annotated in Advisory mode CAE Operating Modes: Learning vs Enforcement Off : Disables all CAE logic. Raw divergence pipeline only. Use for baseline comparison. Advisory : Shows ALL signals regardless of CAE evaluation, but annotates signals that WOULD be blocked with specific warnings (e.g., "Bull: strong downtrend (TCS=0.87)" or "Adversarial bearish"). This is your learning mode — see CAE's decision logic in action without missing educational opportunities. Filtering : Actively blocks low-quality signals. Only setups that pass all enabled gates (Trend Filter, Adversarial Validation, Confidence Gating) reach your chart. This is your live trading mode — trust the system to enforce discipline. CAE Filter Gates: Three-Layer Protection When CAE is enabled, signals must pass through three independent gates (each can be toggled on/off): Gate 1: Strong Trend Filter If TCS ≥ tcs_threshold (default 0.80) And signal is counter-trend (bullish in downtrend or bearish in uptrend) And exhaustion < exhaustion_required (default 0.50) Then: BLOCK signal Logic: Don't fade strong trends unless the move is clearly overextended Gate 2: Adversarial Validation Calculate both bull case and bear case scores If opposing case dominates by more than adv_threshold (default 0.10) Then: BLOCK signal Logic: Avoid trades where you're fighting obvious strength in the opposite direction Gate 3: Confidence Gating Calculate composite confidence score (0-1) If confidence < min_confidence (default 0.35) Then: In Filtering mode, BLOCK signal; in Advisory mode, ANNOTATE with warning Logic: Only take setups with minimum quality threshold All three gates work together. A signal must pass ALL enabled gates to fire. Visual Intelligence System Bifurcation Zones (Supply/Demand Blocks) When a divergence signal fires, BZ-CAE draws a semi-transparent box extending 15 bars forward from the signal pivot: Demand Zones (Bullish) : Theme-colored box (cyan in Cyberpunk, blue in Professional, etc.) labeled "Demand" — marks where smart money likely placed buy orders as price diverged at the low. Supply Zones (Bearish) : Theme-colored box (magenta in Cyberpunk, orange in Professional) labeled "Supply" — marks where smart money likely placed sell orders as price diverged at the high. Theory : Divergences represent institutional disagreement with the crowd. The crowd pushed price to an extreme (new high or low), but momentum (oscillator) is waning, indicating smart money is taking the opposite side. These zones mark order placement areas that become future support/resistance. Use Cases : Exit targets: Take profit when price returns to opposite-side zone Re-entry levels: If price returns to your entry zone, consider adding Stop placement: Place stops just beyond your zone (below demand, above supply) Auto-Cleanup : System keeps the last 20 zones to prevent chart clutter. Adversarial Bar Coloring — Real-Time Market Debate Heatmap Each bar is colored based on the Bull Case vs Bear Case differential: Strong Bull Advantage (diff > 0.3): Full theme bull color (e.g., cyan) Moderate Bull Advantage (diff > 0.1): 50% transparency bull Neutral (diff -0.1 to 0.1): Gray/neutral theme Moderate Bear Advantage (diff < -0.1): 50% transparency bear Strong Bear Advantage (diff < -0.3): Full theme bear color (e.g., magenta) This creates a real-time visual heatmap showing which side is "winning" the market debate. When bars flip from cyan to magenta (or vice versa), you're witnessing a shift in adversarial advantage — a leading indicator of potential momentum changes. Exhaustion Shading When exhaustion score exceeds 0.75, the chart background displays a semi-transparent yellow highlight. This immediate visual warning alerts you that the current move is at high risk of reversal, even if trend indicators remain strong. Visual Themes — Six Aesthetic Options Cyberpunk : Cyan/Magenta/Yellow — High contrast, neon aesthetic, excellent for dark-themed trading environments Professional : Blue/Orange/Green — Corporate color palette, suitable for presentations and professional documentation Ocean : Teal/Red/Cyan — Aquatic palette, calming for extended monitoring sessions Fire : Orange/Red/Coral — Warm aggressive colors, high energy Matrix : Green/Red/Lime — Code aesthetic, homage to classic hacker visuals Monochrome : White/Gray — Minimal distraction, maximum focus on price action All visual elements (signal markers, zones, bar colors, dashboard) adapt to your selected theme. Divergence Engine — Core Detection System What Are Divergences? Divergences occur when price action and momentum indicators disagree, creating structural tension that often resolves in a change of direction: Regular Divergence (Reversal Signal) : Bearish Regular : Price makes higher high, oscillator makes lower high → Potential trend reversal down Bullish Regular : Price makes lower low, oscillator makes higher low → Potential trend reversal up Hidden Divergence (Continuation Signal) : Bearish Hidden : Price makes lower high, oscillator makes higher high → Downtrend continuation Bullish Hidden : Price makes higher low, oscillator makes lower low → Uptrend continuation Both types can be enabled/disabled independently in settings. Pivot Detection Methods BZ-CAE uses symmetric pivot detection with separate lookback and lookforward periods (default 5/5): Pivot High : Bar where high > all highs within lookback range AND high > all highs within lookforward range Pivot Low : Bar where low < all lows within lookback range AND low < all lows within lookforward range This ensures structural validity — the pivot must be a clear local extreme, not just a minor wiggle. Divergence Validation Requirements For a divergence to be confirmed, it must satisfy: Slope Disagreement : Price slope and oscillator slope must move in opposite directions (for regular divs) or same direction with inverted highs/lows (for hidden divs) Minimum Slope Change : |osc_slope| > min_slope_change / 100 (default 1.0) — filters weak, marginal divergences Maximum Lookback Range : Pivots must be within max_lookback bars (default 60) — prevents ancient, irrelevant divergences ATR-Normalized Strength : Divergence strength = min(|price_slope| × |osc_slope| × 10, 1.0) — quantifies the magnitude of disagreement in volatility context Regular divergences receive 1.0× weight; hidden divergences receive 0.8× weight (slightly less reliable historically). Oscillator Options — Five Professional Indicators RSI (Relative Strength Index) : Classic overbought/oversold momentum indicator. Best for: General purpose divergence detection across all instruments. Stochastic : Range-bound %K momentum comparing close to high-low range. Best for: Mean reversion strategies and range-bound markets. CCI (Commodity Channel Index) : Measures deviation from statistical mean, auto-normalized to 0-100 scale. Best for: Cyclical instruments and commodities. MFI (Money Flow Index) : Volume-weighted RSI incorporating money flow. Best for: Volume-driven markets like stocks and crypto. Williams %R : Inverse stochastic looking back over period, auto-adjusted to 0-100. Best for: Reversal detection at extremes. Each oscillator has adjustable length (2-200, default 14) and smoothing (1-20, default 1). You also set overbought (50-100, default 70) and oversold (0-50, default 30) thresholds. Signal Timing Modes — Understanding Repainting BZ-CAE offers two timing policies with complete transparency about repainting behavior: Realtime (1-bar, peak-anchored) How It Works : Detects peaks 1 bar ago using pattern: high > high AND high > high Signal prints on the NEXT bar after peak detection (bar_index) Visual marker anchors to the actual PEAK bar (bar_index - 1, offset -1) Signal locks in when bar CONFIRMS (closes) Repainting Behavior : On the FORMING bar (before close), the peak condition may change as new prices arrive Once bar CLOSES (barstate.isconfirmed), signal is locked permanently This is preview/early warning behavior by design Best For : Active monitoring and immediate alerts Learning the system (seeing signals develop in real-time) Responsive entry if you're watching the chart live Confirmed (lookforward) How It Works : Uses Pine Script's built-in ta.pivothigh() and ta.pivotlow() functions Requires full pivot validation period (lookback + lookforward bars) Signal prints pivot_lookforward bars after the actual peak (default 5-bar delay) Visual marker anchors to the actual peak bar (offset -pivot_lookforward) No Repainting Behavior Best For : Backtesting and historical analysis Conservative entries requiring full confirmation Automated trading systems Swing trading with larger timeframes Tradeoff : Delayed entry by pivot_lookforward bars (typically 5 bars) On a 5-minute chart, this is a 25-minute delay On a 4-hour chart, this is a 20-hour delay Recommendation : Use Confirmed for backtesting to verify system performance honestly. Use Realtime for live monitoring only if you're actively watching the chart and understand pre-confirmation repainting behavior. Signal Spacing System — Anti-Spam Architecture Even after CAE filtering, raw divergences can cluster. The spacing system enforces separation: Three Independent Filters 1. Min Bars Between ANY Signals (default 12): Prevents rapid-fire clustering across both directions If last signal (bull or bear) was within N bars, block new signal Ensures breathing room between all setups 2. Min Bars Between SAME-SIDE Signals (default 24, optional enforcement): Prevents bull-bull or bear-bear spam Separate tracking for bullish and bearish signal timelines Toggle enforcement on/off 3. Min ATR Distance From Last Signal (default 0, optional): Requires price to move N × ATR from last signal location Ensures meaningful price movement between setups 0 = disabled, 0.5-2.0 = typical range for enabled All three filters work independently. A signal must pass ALL enabled filters to proceed. Practical Guidance : Scalping (1-5m) : Any 6-10, Same-side 12-20, ATR 0-0.5 Day Trading (15m-1H) : Any 12, Same-side 24, ATR 0-1.0 Swing Trading (4H-D) : Any 20-30, Same-side 40-60, ATR 1.0-2.0 Dashboard — Real-Time Control Center The dashboard (toggleable, four corner positions, three sizes) provides comprehensive system intelligence: Oscillator Section Current oscillator type and value State: OVERBOUGHT / OVERSOLD / NEUTRAL (color-coded) Length parameter Cognitive Engine Section TCS (Trend Conviction Score) : Current value with emoji state indicator 🔥 = Strong trend (>0.75) 📊 = Moderate trend (0.50-0.75) 〰️ = Weak/choppy (<0.50) Color: Red if above threshold (trend filter active), yellow if moderate, green if weak DMA (Directional Momentum Alignment) : Current value with emoji direction indicator 🐂 = Bullish momentum (>0.5) ⚖️ = Balanced (-0.5 to 0.5) 🐻 = Bearish momentum (<-0.5) Color: Green if bullish, red if bearish Exhaustion : Current value with emoji warning indicator ⚠️ = High exhaustion (>0.75) 🟡 = Moderate (0.50-0.75) ✓ = Low (<0.50) Color: Red if high, yellow if moderate, green if low Pullback : Quality of current distance from EMA20 Values >0.6 are ideal entry zones (not too close, not too far) Bull Case / Bear Case (if Adversarial enabled): Current scores for both sides of the market debate Differential with emoji indicator: 📈 = Bull advantage (>0.2) ➡️ = Balanced (-0.2 to 0.2) 📉 = Bear advantage (<-0.2) Last Signal Metrics Section (New Feature) When a signal fires, this section captures and displays: Signal type (BULL or BEAR) Bars elapsed since signal Confidence % at time of signal TCS value at signal time DMA value at signal time Purpose : Provides a historical reference for learning. You can see what the market state looked like when the last signal fired, helping you correlate outcomes with conditions. Statistics Section Total Signals : Lifetime count across session Blocked Signals : Count and percentage (filter effectiveness metric) Bull Signals : Total bullish divergences Bear Signals : Total bearish divergences Purpose : System health monitoring. If blocked % is very high (>60%), filters may be too strict. If very low (<10%), filters may be too loose. Advisory Annotations When CAE Mode = Advisory, this section displays warnings for signals that would be blocked in Filtering mode: Examples: "Bull spacing: wait 8 bars" "Bear: strong uptrend (TCS=0.87)" "Adversarial bearish" "Low confidence 32%" Multiple warnings can stack, separated by " | ". This teaches you CAE's decision logic transparently. How to Use BZ-CAE — Complete Workflow Phase 1: Initial Setup (First Session) Apply BZ-CAE to your chart Select your preferred Visual Theme (Cyberpunk recommended for visibility) Set Signal Timing to "Confirmed (lookforward)" for learning Choose your Oscillator Type (RSI recommended for general use, length 14) Set Overbought/Oversold to 70/30 (standard) Enable both Regular Divergence and Hidden Divergence Set Pivot Lookback/Lookforward to 5/5 (balanced structure) Enable CAE Intelligence Set CAE Mode to "Advisory" (learning mode) Enable all three CAE filters: Strong Trend Filter , Adversarial Validation , Confidence Gating Enable Show Dashboard , position Top Right, size Normal Enable Draw Bifurcation Zones and Adversarial Bar Coloring Phase 2: Learning Period (Weeks 1-2) Goal : Understand how CAE evaluates market state and filters signals. Activities : Watch the dashboard during signals : Note TCS values when counter-trend signals fail — this teaches you the trend strength threshold for your instrument Observe exhaustion patterns at actual turning points — learn when overextension truly matters Study adversarial differential at signal times — see when opposing cases dominate Review blocked signals (orange X-crosses): In Advisory mode, you see everything — signals that would pass AND signals that would be blocked Check the advisory annotations to understand why CAE would block Track outcomes: Were the blocks correct? Did those signals fail? Use Last Signal Metrics : After each signal, check the dashboard capture of confidence, TCS, and DMA Journal these values alongside trade outcomes Identify patterns: Do confidence >0.70 signals work better? Does your instrument respect TCS >0.85? Understand your instrument's "personality" : Trending instruments (indices, major forex) may need TCS threshold 0.85-0.90 Choppy instruments (low-cap stocks, exotic pairs) may work best with TCS 0.70-0.75 High-volatility instruments (crypto) may need wider spacing Low-volatility instruments may need tighter spacing Phase 3: Calibration (Weeks 3-4) Goal : Optimize settings for your specific instrument, timeframe, and style. Calibration Checklist : Min Confidence Threshold : Review confidence distribution in your signal journal Identify the confidence level below which signals consistently fail Set min_confidence slightly above that level Day trading : 0.35-0.45 Swing trading : 0.40-0.55 Scalping : 0.30-0.40 TCS Threshold : Find the TCS level where counter-trend signals consistently get stopped out Set tcs_threshold at or slightly below that level Trending instruments : 0.85-0.90 Mixed instruments : 0.80-0.85 Choppy instruments : 0.75-0.80 Exhaustion Override Level : Identify exhaustion readings that marked genuine reversals Set exhaustion_required just below the average Typical range : 0.45-0.55 Adversarial Threshold : Default 0.10 works for most instruments If you find CAE is too conservative (blocking good trades), raise to 0.15-0.20 If signals are still getting caught in opposing momentum, lower to 0.07-0.09 Spacing Parameters : Count bars between quality signals in your journal Set min bars ANY to ~60% of that average Set min bars SAME-SIDE to ~120% of that average Scalping : Any 6-10, Same 12-20 Day trading : Any 12, Same 24 Swing : Any 20-30, Same 40-60 Oscillator Selection : Try different oscillators for 1-2 weeks each Track win rate and average winner/loser by oscillator type RSI : Best for general use, clear OB/OS Stochastic : Best for range-bound, mean reversion MFI : Best for volume-driven markets CCI : Best for cyclical instruments Williams %R : Best for reversal detection Phase 4: Live Deployment Goal : Disciplined execution with proven, calibrated system. Settings Changes : Switch CAE Mode from Advisory to Filtering System now actively blocks low-quality signals Only setups passing all gates reach your chart Keep Signal Timing on Confirmed for conservative entries OR switch to Realtime if you're actively monitoring and want faster entries (accept pre-confirmation repaint risk) Use your calibrated thresholds from Phase 3 Enable high-confidence alerts: "⭐ High Confidence Bullish/Bearish" (>0.70) Trading Discipline Rules : Respect Blocked Signals : If CAE blocks a trade you wanted to take, TRUST THE SYSTEM Don't manually override — if you consistently disagree, return to Phase 2/3 calibration The block exists because market state failed intelligence checks Confidence-Based Position Sizing : Confidence >0.70: Standard or increased size (e.g., 1.5-2.0% risk) Confidence 0.50-0.70: Standard size (e.g., 1.0% risk) Confidence 0.35-0.50: Reduced size (e.g., 0.5% risk) or skip if conservative TCS-Based Management : High TCS + counter-trend signal: Use tight stops, quick exits (you're fading momentum) Low TCS + reversal signal: Use wider stops, trail aggressively (genuine reversal potential) Exhaustion Awareness : Exhaustion >0.75 (yellow shading): Market is overextended, reversal risk is elevated — consider early exit or tighter trailing stops even on winning trades Exhaustion <0.30: Continuation bias — hold for larger move, wide trailing stops Adversarial Context : Strong differential against you (e.g., bullish signal with bear diff <-0.2): Use very tight stops, consider skipping Strong differential with you (e.g., bullish signal with bull diff >0.2): Trail aggressively, this is your tailwind Practical Settings by Timeframe & Style Scalping (1-5 Minute Charts) Objective : High frequency, tight stops, quick reversals in fast-moving markets. Oscillator : Type: RSI or Stochastic (fast response to quick moves) Length: 9-11 (more responsive than standard 14) Smoothing: 1 (no lag) OB/OS: 65/35 (looser thresholds ensure frequent crossings in fast conditions) Divergence : Pivot Lookback/Lookforward: 3/3 (tight structure, catch small swings) Max Lookback: 40-50 bars (recent structure only) Min Slope Change: 0.8-1.0 (don't be overly strict) CAE : Mode: Advisory first (learn), then Filtering Min Confidence: 0.30-0.35 (lower bar for speed, accept more signals) TCS Threshold: 0.70-0.75 (allow more counter-trend opportunities) Exhaustion Required: 0.45-0.50 (moderate override) Strong Trend Filter: ON (still respect major intraday trends) Adversarial: ON (critical for scalping protection — catches bad entries quickly) Spacing : Min Bars ANY: 6-10 (fast pace, many setups) Min Bars SAME-SIDE: 12-20 (prevent clustering) Min ATR Distance: 0 or 0.5 (loose) Timing : Realtime (speed over precision, but understand repaint risk) Visuals : Signal Size: Tiny (chart clarity in busy conditions) Show Zones: Optional (can clutter on low timeframes) Bar Coloring: ON (helps read momentum shifts quickly) Dashboard: Small size (corner reference, not main focus) Key Consideration : Scalping generates noise. Even with CAE, expect lower win rate (45-55%) but aim for favorable R:R (2:1 or better). Size conservatively. Day Trading (15-Minute to 1-Hour Charts) Objective : Balance quality and frequency. Standard divergence trading approach. Oscillator : Type: RSI or MFI (proven reliability, volume confirmation with MFI) Length: 14 (industry standard, well-studied) Smoothing: 1-2 OB/OS: 70/30 (classic levels) Divergence : Pivot Lookback/Lookforward: 5/5 (balanced structure) Max Lookback: 60 bars Min Slope Change: 1.0 (standard strictness) CAE : Mode: Filtering (enforce discipline from the start after brief Advisory learning) Min Confidence: 0.35-0.45 (quality filter without being too restrictive) TCS Threshold: 0.80-0.85 (respect strong trends) Exhaustion Required: 0.50 (balanced override threshold) Strong Trend Filter: ON Adversarial: ON Confidence Gating: ON (all three filters active) Spacing : Min Bars ANY: 12 (breathing room between all setups) Min Bars SAME-SIDE: 24 (prevent bull/bear clusters) Min ATR Distance: 0-1.0 (optional refinement, typically 0.5-1.0) Timing : Confirmed (1-bar delay for reliability, no repainting) Visuals : Signal Size: Tiny or Small Show Zones: ON (useful reference for exits/re-entries) Bar Coloring: ON (context awareness) Dashboard: Normal size (full visibility) Key Consideration : This is the "sweet spot" timeframe for BZ-CAE. Market structure is clear, CAE has sufficient data, and signal frequency is manageable. Expect 55-65% win rate with proper execution. Swing Trading (4-Hour to Daily Charts) Objective : Quality over quantity. High conviction only. Larger stops and targets. Oscillator : Type: RSI or CCI (robust on higher timeframes, smooth longer waves) Length: 14-21 (capture larger momentum swings) Smoothing: 1-3 OB/OS: 70/30 or 75/25 (strict extremes) Divergence : Pivot Lookback/Lookforward: 5/5 or 7/7 (structural purity, major swings only) Max Lookback: 80-100 bars (broader historical context) Min Slope Change: 1.2-1.5 (require strong, undeniable divergence) CAE : Mode: Filtering (strict enforcement, premium setups only) Min Confidence: 0.40-0.55 (high bar for entry) TCS Threshold: 0.85-0.95 (very strong trend protection — don't fade established HTF trends) Exhaustion Required: 0.50-0.60 (higher bar for override — only extreme exhaustion justifies counter-trend) Strong Trend Filter: ON (critical on HTF) Adversarial: ON (avoid obvious bad trades) Confidence Gating: ON (quality gate essential) Spacing : Min Bars ANY: 20-30 (substantial separation) Min Bars SAME-SIDE: 40-60 (significant breathing room) Min ATR Distance: 1.0-2.0 (require meaningful price movement) Timing : Confirmed (purity over speed, zero repaint for swing accuracy) Visuals : Signal Size: Small or Normal (clear markers on zoomed-out view) Show Zones: ON (important HTF levels) Bar Coloring: ON (long-term trend awareness) Dashboard: Normal or Large (comprehensive analysis) Key Consideration : Swing signals are rare but powerful. Expect 2-5 signals per month per instrument. Win rate should be 60-70%+ due to stringent filtering. Position size can be larger given confidence. Dashboard Interpretation Reference TCS (Trend Conviction Score) States 0.00-0.50: Weak/Choppy Emoji: 〰️ Color: Green/cyan Meaning: No established trend. Range-bound or consolidating. Both reversal and continuation signals viable. Action: Reversals (regular divs) are safer. Use wider profit targets (market has room to move). Consider mean reversion strategies. 0.50-0.75: Moderate Trend Emoji: 📊 Color: Yellow/neutral Meaning: Developing trend but not locked in. Context matters significantly. Action: Check DMA and exhaustion. If DMA confirms trend and exhaustion is low, favor continuation (hidden divs). If exhaustion is high, reversals are viable. 0.75-0.85: Strong Trend Emoji: 🔥 Color: Orange/warning Meaning: Well-established trend with persistence. Counter-trend is high risk. Action: Require exhaustion >0.50 for counter-trend entries. Favor continuation signals. Use tight stops on counter-trend attempts. 0.85-1.00: Very Strong Trend Emoji: 🔥🔥 Color: Red/danger (if counter-trading) Meaning: Locked-in institutional trend. Extremely high risk to fade. Action: Avoid counter-trend unless exhaustion >0.75 (yellow shading). Focus exclusively on continuation opportunities. Momentum is king here. DMA (Directional Momentum Alignment) Zones -2.0 to -1.0: Strong Bearish Momentum Emoji: 🐻🐻 Color: Dark red Meaning: Powerful downside force. Sellers are in control. Action: Bullish divergences are counter-momentum (high risk). Bearish divergences are with-momentum (lower risk). Size down on longs. -0.5 to 0.5: Neutral/Balanced Emoji: ⚖️ Color: Gray/neutral Meaning: No strong directional bias. Choppy or consolidating. Action: Both directions have similar probability. Focus on confidence score and adversarial differential for edge. 1.0 to 2.0: Strong Bullish Momentum Emoji: 🐂🐂 Color: Bright green/cyan Meaning: Powerful upside force. Buyers are in control. Action: Bearish divergences are counter-momentum (high risk). Bullish divergences are with-momentum (lower risk). Size down on shorts. Exhaustion States 0.00-0.50: Fresh Move Emoji: ✓ Color: Green Meaning: Trend is healthy, not overextended. Room to run. Action: Counter-trend trades are premature. Favor continuation. Hold winners for larger moves. Avoid early exits. 0.50-0.75: Mature Move Emoji: 🟡 Color: Yellow Meaning: Move is aging. Watch for signs of climax. Action: Tighten trailing stops on winning trades. Be ready for reversals. Don't add to positions aggressively. 0.75-0.85: High Exhaustion Emoji: ⚠️ Color: Orange Background: Yellow shading appears Meaning: Move is overextended. Reversal risk elevated significantly. Action: Counter-trend reversals are higher probability. Consider early exits on with-trend positions. Size up on reversal divergences (if CAE allows). 0.85-1.00: Critical Exhaustion Emoji: ⚠️⚠️ Color: Red Background: Yellow shading intensifies Meaning: Climax conditions. Reversal imminent or underway. Action: Aggressive reversal trades justified. Exit all with-trend positions. This is where major turns occur. Confidence Score Tiers 0.00-0.30: Low Quality Color: Red Status: Blocked in Filtering mode Action: Skip entirely. Setup lacks fundamental quality across multiple factors. 0.30-0.50: Moderate Quality Color: Yellow/orange Status: Marginal — passes in Filtering only if >min_confidence Action: Reduced position size (0.5-0.75% risk). Tight stops. Conservative profit targets. Skip if you're selective. 0.50-0.70: High Quality Color: Green/cyan Status: Good setup across most quality factors Action: Standard position size (1.0-1.5% risk). Normal stops and targets. This is your bread-and-butter trade. 0.70-1.00: Premium Quality Color: Bright green/gold Status: Exceptional setup — all factors aligned Visual: Double confidence ring appears Action: Consider increased position size (1.5-2.0% risk, maximum). Wider stops. Larger targets. High probability of success. These are rare — capitalize when they appear. Adversarial Differential Interpretation Bull Differential > 0.3 : Visual: Strong cyan/green bar colors Meaning: Bull case strongly dominates. Buyers have clear advantage. Action: Bullish divergences favored (with-advantage). Bearish divergences face headwind (reduce size or skip). Momentum is bullish. Bull Differential 0.1 to 0.3 : Visual: Moderate cyan/green transparency Meaning: Moderate bull advantage. Buyers have edge but not overwhelming. Action: Both directions viable. Slight bias toward longs. Differential -0.1 to 0.1 : Visual: Gray/neutral bars Meaning: Balanced debate. No clear advantage either side. Action: Rely on other factors (confidence, TCS, exhaustion) for direction. Adversarial is neutral. Bear Differential -0.3 to -0.1 : Visual: Moderate red/magenta transparency Meaning: Moderate bear advantage. Sellers have edge but not overwhelming. Action: Both directions viable. Slight bias toward shorts. Bear Differential < -0.3 : Visual: Strong red/magenta bar colors Meaning: Bear case strongly dominates. Sellers have clear advantage. Action: Bearish divergences favored (with-advantage). Bullish divergences face headwind (reduce size or skip). Momentum is bearish. Last Signal Metrics — Post-Trade Analysis After a signal fires, dashboard captures: Type : BULL or BEAR Bars Ago : How long since signal (updates every bar) Confidence : What was the quality score at signal time TCS : What was trend conviction at signal time DMA : What was momentum alignment at signal time Use Case : Post-trade journaling and learning. Example: "BULL signal 12 bars ago. Confidence: 68%, TCS: 0.42, DMA: -0.85" Analysis : This was a bullish reversal (regular div) with good confidence, weak trend (TCS), but strong bearish momentum (DMA). The bet was that momentum would reverse — a counter-momentum play requiring exhaustion confirmation. Check if exhaustion was high at that time to justify the entry. Track patterns: Do your best trades have confidence >0.65? Do low-TCS signals (<0.50) work better for you? Are you more successful with-momentum (DMA aligned with signal) or counter-momentum? Troubleshooting Guide Problem: No Signals Appearing Symptoms : Chart loads, dashboard shows metrics, but no divergence signals fire. Diagnosis Checklist : Check dashboard oscillator value : Is it crossing OB/OS levels (70/30)? If oscillator stays in 40-60 range constantly, it can't reach extremes needed for divergence detection. Are pivots forming? : Look for local swing highs/lows on your chart. If price is in tight consolidation, pivots may not meet lookback/lookforward requirements. Is spacing too tight? : Check "Last Signal" metrics — how many bars since last signal? If <12 and your min_bars_ANY is 12, spacing filter is blocking. Is CAE blocking everything? : Check dashboard Statistics section — what's the blocked signal count? High blocks indicate overly strict filters. Solutions : Loosen OB/OS Temporarily : Try 65/35 to verify divergence detection works If signals appear, the issue was threshold strictness Gradually tighten back to 67/33, then 70/30 as appropriate Lower Min Confidence : Try 0.25-0.30 (diagnostic level) If signals appear, filter was too strict Raise gradually to find sweet spot (0.35-0.45 typical) Disable Strong Trend Filter Temporarily : Turn off in CAE settings If signals appear, TCS threshold was blocking everything Re-enable and lower TCS_threshold to 0.70-0.75 Reduce Min Slope Change : Try 0.7-0.8 (from default 1.0) Allows weaker divergences through Helpful on low-volatility instruments Widen Spacing : Set min_bars_ANY to 6-8 Set min_bars_SAME_SIDE to 12-16 Reduces time between allowed signals Check Timing Mode : If using Confirmed, remember there's a pivot_lookforward delay (5+ bars) Switch to Realtime temporarily to verify system is working Realtime has no delay but repaints Verify Oscillator Settings : Length 14 is standard but might not fit all instruments Try length 9-11 for faster response Try length 18-21 for slower, smoother response Problem: Too Many Signals (Signal Spam) Symptoms : Dashboard shows 50+ signals in Statistics, confidence scores mostly <0.40, signals clustering close together. Solutions : Raise Min Confidence : Try 0.40-0.50 (quality filter) Blocks bottom-tier setups Targets top 50-60% of divergences only Tighten OB/OS : Use 70/30 or 75/25 Requires more extreme oscillator readings Reduces false divergences in mid-range Increase Min Slope Change : Try 1.2-1.5 (from default 1.0) Requires stronger, more obvious divergences Filters marginal slope disagreements Raise TCS Threshold : Try 0.85-0.90 (from default 0.80) Stricter trend filter blocks more counter-trend attempts Favors only strongest trend alignment Enable ALL CAE Gates : Turn on Trend Filter + Adversarial + Confidence Triple-layer protection Blocks aggressively — expect 20-40% reduction in signals Widen Spacing : min_bars_ANY: 15-20 (from 12) min_bars_SAME_SIDE: 30-40 (from 24) Creates substantial breathing room Switch to Confirmed Timing : Removes realtime preview noise Ensures full pivot validation 5-bar delay filters many false starts Problem: Signals in Strong Trends Get Stopped Out Symptoms : You take a bullish divergence in a downtrend (or bearish in uptrend), and it immediately fails. Dashboard showed high TCS at the time. Analysis : This is INTENDED behavior — CAE is protecting you from low-probability counter-trend trades. Understanding : Check Last Signal Metrics in dashboard — what was TCS when signal fired? If TCS was >0.85 and signal was counter-trend, CAE correctly identified it as high risk Strong trends rarely reverse cleanly without major exhaustion Your losses here are the system working as designed (blocking bad odds) If You Want to Override (Not Recommended) : Lower TCS_threshold to 0.70-0.75 (allows more counter-trend) Lower exhaustion_required to 0.40 (easier override) Disable Strong Trend Filter entirely (very risky) Better Approach : TRUST THE FILTER — it's preventing costly mistakes Wait for exhaustion >0.75 (yellow shading) before counter-trending strong TCS Focus on continuation signals (hidden divs) in high-TCS environments Use Advisory mode to see what CAE is blocking and learn from outcomes Problem: Adversarial Blocking Seems Wrong Symptoms : You see a divergence that "looks good" visually, but CAE blocks with "Adversarial bearish/bullish" warning. Diagnosis : Check dashboard Bull Case and Bear Case scores at that moment Look at Differential value Check adversarial bar colors — was there strong coloring against your intended direction? Understanding : Adversarial catches "obvious" opposing momentum that's easy to miss Example: Bullish divergence at a local low, BUT price is deeply below EMA50, bearish momentum is strong, and RSI shows knife-catching conditions Bull Case might be 0.20 while Bear Case is 0.55 Differential = -0.35, far beyond threshold Block is CORRECT — you'd be fighting overwhelming opposing flow If You Disagree Consistently Review blocked signals on chart — scroll back and check outcomes Did those blocked signals actually work, or did they fail as adversarial predicted? Raise adv_threshold to 0.15-0.20 (more permissive, allows closer battles) Disable Adversarial Validation temporarily (diagnostic) to isolate its effect Use Advisory mode to learn adversarial patterns over 50-100 signals Remember : Adversarial is conservative BY DESIGN. It prevents "obvious" bad trades where you're fighting strong strength the other way. Problem: Dashboard Not Showing or Incomplete Solutions : Toggle "Show Dashboard" to ON in settings Try different dashboard sizes (Small/Normal/Large) Try different positions (Top Left/Right, Bottom Left/Right) — might be off-screen Some sections require CAE Enable = ON (Cognitive Engine section won't appear if CAE is disabled) Statistics section requires at least 1 lifetime signal to populate Check that visual theme is set (dashboard colors adapt to theme) Problem: Performance Lag, Chart Freezing Symptoms : Chart loading is slow, indicator calculations cause delays, pinch-to-zoom lags. Diagnosis : Visual features are computationally expensive, especially adversarial bar coloring (recalculates every bar). Solutions (In Order of Impact) : Disable Adversarial Bar Coloring (MOST EXPENSIVE): Turn OFF "Adversarial Bar Coloring" in settings This is the single biggest performance drain Immediate improvement Reduce Vertical Lines : Lower "Keep last N vertical lines" to 20-30 Or set to 0 to disable entirely Moderate improvement Disable Bifurcation Zones : Turn OFF "Draw Bifurcation Zones" Reduces box drawing calculations Moderate improvement Set Dashboard Size to Small : Smaller dashboard = fewer cells = less rendering Minor improvement Use Shorter Max Lookback : Reduce max_lookback to 40-50 (from 60+) Fewer bars to scan for divergences Minor improvement Disable Exhaustion Shading : Turn OFF "Show Market State" Removes background coloring calculations Minor improvement Extreme Performance Mode : Disable ALL visual enhancements Keep only triangle markers Dashboard Small or OFF Use Minimal theme if available Problem: Realtime Signals Repainting Symptoms : You see a signal appear, but on next bar it disappears or moves. Explanation : Realtime mode detects peaks 1 bar ago: high > high AND high > high On the FORMING bar (before close), this condition can change as new prices arrive Example: At 10:05, high (10:04 bar) was 100, current high is 99 → peak detected At 10:05:30, new high of 101 arrives → peak condition breaks → signal disappears At 10:06 (bar close), final high is 101 → no peak at 10:04 anymore → signal gone permanently This is expected behavior for realtime responsiveness. You get preview/early warning, but it's not locked until bar confirms. Solutions : Use Confirmed Timing : Switch to "Confirmed (lookforward)" mode ZERO repainting — pivot must be fully validated 5-bar delay (pivot_lookforward) What you see in history is exactly what would have appeared live Accept Realtime Repaint as Tradeoff : Keep Realtime mode for speed and alerts Understand that pre-confirmation signals may vanish Only trade signals that CONFIRM at bar close (check barstate.isconfirmed) Use for live monitoring, NOT for backtesting Trade Only After Confirmation : In Realtime mode, wait 1 full bar after signal appears before entering If signal survives that bar close, it's locked This adds 1-bar delay but removes repaint risk Recommendation : Use Confirmed for backtesting and conservative trading. Use Realtime only for active monitoring with full understanding of preview behavior. Risk Management Integration BZ-CAE is a signal generation system, not a complete trading strategy. You must integrate proper risk management: Position Sizing by Confidence Confidence 0.70-1.00 (Premium) : Risk: 1.5-2.0% of account (MAXIMUM) Reasoning: High-quality setup across all factors Still cap at 2% — even premium setups can fail Confidence 0.50-0.70 (High Quality) : Risk: 1.0-1.5% of account Reasoning: Standard good setup Your bread-and-butter risk level Confidence 0.35-0.50 (Moderate Quality) : Risk: 0.5-1.0% of account Reasoning: Marginal setup, passes minimum threshold Reduce size or skip if you're selective Confidence <0.35 (Low Quality) : Risk: 0% (blocked in Filtering mode) Reasoning: Insufficient quality factors System protects you by not showing these Stop Placement Strategies For Reversal Signals (Regular Divergences) : Place stop beyond the divergence pivot plus buffer Bullish : Stop below the divergence low - 1.0-1.5 × ATR Bearish : Stop above the divergence high + 1.0-1.5 × ATR Reasoning: If price breaks the pivot, divergence structure is invalidated For Continuation Signals (Hidden Divergences) : Place stop beyond recent swing in opposite direction Bullish continuation : Stop below recent swing low (not the divergence pivot itself) Bearish continuation : Stop above recent swing high Reasoning: You're trading with trend, allow more breathing room ATR-Based Stops : 1.5-2.0 × ATR is standard Scale by timeframe: Scalping (1-5m): 1.0-1.5 × ATR (tight) Day trading (15m-1H): 1.5-2.0 × ATR (balanced) Swing (4H-D): 2.0-3.0 × ATR (wide) Never Use Fixed Dollar/Pip Stops : Markets have different volatility 50-pip stop on EUR/USD ≠ 50-pip stop on GBP/JPY Always normalize by ATR or pivot structure Profit Targets and Scaling Primary Target : 2-3 × ATR from entry (minimum 2:1 reward-risk) Example : Entry at 100, ATR = 2, stop at 97 (1.5 × ATR) → target at 106 (3 × ATR) = 2:1 R:R Scaling Out Strategy : Take 50% off at 1.5 × ATR (secure partial profit) Move stop to breakeven Trail remaining 50% with 1.0 × ATR trailing stop Let winners run if trend persists Targets by Confidence : High Confidence (>0.70) : Aggressive targets (3-4 × ATR), trail wider (1.5 × ATR) Standard Confidence (0.50-0.70) : Normal targets (2-3 × ATR), standard trail (1.0 × ATR) Low Confidence (0.35-0.50) : Conservative targets (1.5-2 × ATR), tight trail (0.75 × ATR) Use Bifurcation Zones : If opposite-side zone is visible on chart (from previous signal), use it as target Example : Bullish signal at 100, prior supply zone at 110 → use 110 as target Zones mark institutional resistance/support Exhaustion-Based Exits : If you're in a trade and exhaustion >0.75 develops (yellow shading), consider early exit Market is overextended — reversal risk is high Take profit even if target not reached Trade Management by TCS High TCS + Counter-Trend Trade (Risky) : Use very tight stops (1.0-1.5 × ATR) Conservative targets (1.5-2 × ATR) Quick exit if trade doesn't work immediately You're fading momentum — respect it Low TCS + Reversal Trade (Safer) : Use wider stops (2.0-2.5 × ATR) Aggressive targets (3-4 × ATR) Trail with patience Genuine reversal potential in weak trend High TCS + Continuation Trade (Safest) : Standard stops (1.5-2.0 × ATR) Very aggressive targets (4-5 × ATR) Trail wide (1.5-2.0 × ATR) You're with institutional momentum — let it run Educational Value — Learning Machine Intelligence BZ-CAE is designed as a learning platform, not just a tool: Advisory Mode as Teacher Most indicators are binary: signal or no signal. You don't learn WHY certain setups are better. BZ-CAE's Advisory mode shows you EVERY potential divergence, then annotates the ones that would be blocked in Filtering mode with specific reasons: "Bull: strong downtrend (TCS=0.87)" teaches you that TCS >0.85 makes counter-trend very risky "Adversarial bearish" teaches you that the opposing case was dominating "Low confidence 32%" teaches you that the setup lacked quality across multiple factors "Bull spacing: wait 8 bars" teaches you that signals need breathing room After 50-100 signals in Advisory mode, you internalize the CAE's decision logic. You start seeing these factors yourself BEFORE the indicator does. Dashboard Transparency Most "intelligent" indicators are black boxes — you don't know how they make decisions. BZ-CAE shows you ALL metrics in real-time: TCS tells you trend strength DMA tells you momentum alignment Exhaustion tells you overextension Adversarial shows both sides of the debate Confidence shows composite quality You learn to interpret market state holistically, a skill applicable to ANY trading system beyond this indicator. Divergence Quality Education Not all divergences are equal. BZ-CAE teaches you which conditions produce high-probability setups: Quality divergence : Regular bullish div at a low, TCS <0.50 (weak trend), exhaustion >0.75 (overextended), positive adversarial differential, confidence >0.70 Low-quality divergence : Regular bearish div at a high, TCS >0.85 (strong uptrend), exhaustion <0.30 (not overextended), negative adversarial differential, confidence <0.40 After using the system, you can evaluate divergences manually with similar intelligence. Risk Management Discipline Confidence-based position sizing teaches you to adjust risk based on setup quality, not emotions: Beginners often size all trades identically Or worse, size UP on marginal setups to "make up" for losses BZ-CAE forces systematic sizing: premium setups get larger size, marginal setups get smaller size This creates a probabilistic approach where your edge compounds over time. What This Indicator Is NOT Complete transparency about limitations and positioning: Not a Prediction System BZ-CAE does not predict future prices. It identifies structural divergences (price-momentum disagreements) and assesses current market state (trend, exhaustion, adversarial conditions). It tells you WHEN conditions favor a potential reversal or continuation, not WHAT WILL HAPPEN. Markets are probabilistic. Even premium-confidence setups fail ~30-40% of the time. The system improves your probability distribution over many trades — it doesn't eliminate risk. Not Fully Automated This is a decision support tool, not a trading robot. You must: Execute trades manually based on signals Manage positions (stops, targets, trailing) Apply discretionary judgment (news events, liquidity, context) Integrate with your broader strategy and risk rules The confidence scores guide position sizing, but YOU determine final risk allocation based on your account size, risk tolerance, and portfolio context. Not Beginner-Friendly BZ-CAE requires understanding of: Divergence trading concepts (regular vs hidden, reversal vs continuation) Market state interpretation (trend vs range, momentum, exhaustion) Basic technical analysis (pivots, support/resistance, EMAs) Risk management fundamentals (position sizing, stops, R:R) This is designed for intermediate to advanced traders willing to invest time learning the system. If you want "buy the arrow" simplicity, this isn't the tool. Not a Holy Grail There is no perfect indicator. BZ-CAE filters noise and improves signal quality significantly, but: Losing trades are inevitable (even at 70% win rate, 30% still fail) Market conditions change rapidly (yesterday's strong trend becomes today's chop) Black swan events occur (fundamentals override technicals) Execution matters (slippage, fees, emotional discipline) The system provides an EDGE, not a guarantee. Your job is to execute that edge consistently with proper risk management over hundreds of trades. Not Financial Advice BZ-CAE is an educational and analytical tool. All trading decisions are your responsibility. Past performance (backtested or live) does not guarantee future results. Only risk capital you can afford to lose. Consult a licensed financial advisor for investment advice specific to your situation. Ideal Market Conditions Best Performance Characteristics Liquid Instruments : Major forex pairs (EUR/USD, GBP/USD, USD/JPY) Large-cap stocks and index ETFs (SPY, QQQ, AAPL, MSFT) High-volume crypto (BTC, ETH) Major commodities (Gold, Oil, Natural Gas) Reasoning: Clean price structure, clear pivots, meaningful oscillator behavior Trending with Consolidations : Markets that trend for 20-40 bars, then consolidate 10-20 bars, repeat Creates divergences at consolidation boundaries (reversals) and within trends (continuations) Both regular and hidden divs find opportunities 5-Minute to Daily Timeframes : Below 5m: too much noise, false pivots, CAE metrics unstable Above daily: too few signals, edge diminishes (fundamentals dominate) Sweet spot: 15m to 4H for most traders Consistent Volume and Participation : Regular trading sessions (not holidays or thin markets) Predictable volatility patterns Avoid instruments with sudden gaps or circuit breakers Challenging Conditions Extremely Low Liquidity : Penny stocks, exotic forex pairs, low-volume crypto Erratic pivots, unreliable oscillator readings CAE metrics can't assess market state properly Very Low Timeframes (1-Minute or Below) : Dominated by market microstructure noise Divergences are everywhere but meaningless CAE filtering helps but still unreliable Extended Sideways Consolidation : 100+ bars of tight range with no clear pivots Oscillator hugs midpoint (45-55 range) No divergences to detect Fundamentally-Driven Gap Markets : Earnings releases, economic data, geopolitical events Price gaps over stops and targets Technical structure breaks down Recommendation: Disable trading around known events Calculation Methodology — Technical Depth For users who want to understand the math: Oscillator Computation Each oscillator type calculates differently, but all normalize to 0-100: RSI : ta.rsi(close, length) — Standard Relative Strength Index Stochastic : ta.stoch(high, low, close, length) — %K calculation CCI : (ta.cci(hlc3, length) + 100) / 2 — Normalized from -100/+100 to 0-100 MFI : ta.mfi(hlc3, length) — Volume-weighted RSI equivalent Williams %R : ta.wpr(length) + 100 — Inverted stochastic adjusted to 0-100 Smoothing: If smoothing > 1, apply ta.sma(oscillator, smoothing) Divergence Detection Algorithm Identify Pivots : Price high pivot: ta.pivothigh(high, lookback, lookforward) Price low pivot: ta.pivotlow(low, lookback, lookforward) Oscillator high pivot: ta.pivothigh(osc, lookback, lookforward) Oscillator low pivot: ta.pivotlow(osc, lookback, lookforward) Store Recent Pivots : Maintain arrays of last 10 pivots with bar indices When new pivot confirmed, unshift to array, pop oldest if >10 Scan for Slope Disagreements : Loop through last 5 pivots For each pair (current pivot, historical pivot): Check if within max_lookback bars Calculate slopes: (current - historical) / bars_between Regular bearish: price_slope > 0, osc_slope < 0, |osc_slope| > min_threshold Regular bullish: price_slope < 0, osc_slope > 0, |osc_slope| > min_threshold Hidden bearish: price_slope < 0, osc_slope > 0, osc_slope > min_threshold Hidden bullish: price_slope > 0, osc_slope < 0, |osc_slope| > min_threshold Important Disclaimers and Terms Performance Disclosure Past performance, whether backtested or live-traded, does not guarantee future results. Markets change. What works today may not work tomorrow. Hypothetical or simulated performance results have inherent limitations and do not represent actual trading. Risk of Loss Trading involves substantial risk of loss. Only trade with risk capital you can afford to lose entirely. The high degree of leverage often available in trading can work against you as well as for you. Leveraged trading may result in losses exceeding your initial deposit. Not Financial Advice BZ-CAE is an educational and analytical tool for technical analysis. It is not financial advice, investment advice, or a recommendation to buy or sell any security or instrument. All trading decisions are your sole responsibility. Consult a licensed financial advisor for advice specific to your circumstances. Technical Indicator Limitations BZ-CAE is a technical analysis tool based on price and volume data. It does not account for: Fundamental analysis (earnings, economic data, financial health) Market sentiment and positioning Geopolitical events and news Liquidity conditions and market microstructure changes Regulatory changes or exchange rules Integrate with broader analysis and strategy. Do not rely solely on technical indicators for trading decisions. Repainting Acknowledgment As disclosed throughout this documentation: Realtime mode may repaint on forming bars before confirmation (by design for preview functionality) Confirmed mode has zero repainting (fully validated pivots only) Choose timing mode appropriate for your use case. Understand the tradeoffs. Testing Recommendation ALWAYS test on demo/paper accounts before committing real capital. Validate the indicator's behavior on your specific instruments and timeframes. Learn the system thoroughly in Advisory mode before using Filtering mode. Learning Resources : In-indicator tooltips (hover over setting names for detailed explanations) This comprehensive publishing statement (save for reference) User guide in script comments (top of code) Final Word — Philosophy of BZ-CAE BZ-CAE is not designed to replace your judgment — it's designed to enhance it. The indicator identifies structural inflection points (bifurcations) where price and momentum disagree. The Cognitive Engine evaluates market state to determine if this disagreement is meaningful or noise. The Adversarial model debates both sides of the trade to catch obvious bad setups. The Confidence system ranks quality so you can choose your risk appetite. But YOU still execute. YOU still manage risk. YOU still learn from outcomes. This is intelligence amplification, not intelligence replacement. Use Advisory mode to learn how expert traders evaluate market state. Use Filtering mode to enforce discipline when emotions run high. Use the dashboard to develop a systematic approach to reading markets. Use confidence scores to size positions probabilistically. The system provides an edge. Your job is to execute that edge with discipline, patience, and proper risk management over hundreds of trades. Markets are probabilistic. No system wins every trade. But a systematic edge + disciplined execution + proper risk management compounds over time. That's the path to consistent profitability. BZ-CAE gives you the edge. The discipline and risk management are on you. Taking you to school. — Dskyz, Trade with insight. Trade with anticipation.
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