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Nifty Blitz - Educational Purposes OnlyDisclaimer:
This script is for educational and informational purposes only. It is not intended as financial advice or a recommendation to buy or sell any security. Trading and investing involve substantial risk, and you should always do your own research or consult with a qualified financial advisor before making any trading decisions. The author of this script is not responsible for any losses or damages arising from the use of this script.
WaveTrend 3 Multitimeframe by SaltanovCrypto### Description of the WaveTrend 3 Multitimeframe Script (Overlay Version)
This Pine Script implements a multi-timeframe **WaveTrend oscillator** (`WT`) indicator that overlays directly on the price chart, providing traders with clear visual signals for potential buy and sell opportunities. The script calculates and displays WaveTrend signals across three customizable timeframes, allowing users to analyze momentum-based trading signals at different resolutions simultaneously.
---
### **Key Features**
1. **Multi-Timeframe Analysis**:
- The script computes WaveTrend values for three distinct timeframes (`TF1`, `TF2`, `TF3`), each with independent settings.
- Users can configure the `Channel Length` and `Average Length` parameters for each timeframe, enabling fine-tuned analysis.
2. **Overlay Design**:
- Unlike traditional indicators that appear in a separate pane, this script overlays buy/sell labels directly on the price chart for better alignment with price action.
3. **Customizable Labels**:
- Buy and sell signals are displayed as labels on the chart with fully customizable colors, sizes, and text colors.
- Labels are positioned at the low price for buy signals and at the high price for sell signals.
4. **Alert Conditions**:
- Unified alert conditions notify users when WaveTrend crossovers occur across all enabled timeframes.
- Alerts include options for cross-up (buy) and cross-down (sell) signals.
5. **WaveTrend Calculation**:
- The WaveTrend oscillator is calculated using a robust formula derived from the `hlc3` (average of high, low, and close prices).
- The calculation involves smoothing steps to ensure accurate signal generation.
---
### **Script Workflow**
#### **1. Input Parameters**
- **Timeframe Settings**:
- Each timeframe (`TF1`, `TF2`, `TF3`) has configurable parameters:
- `Channel Length`: Controls the sensitivity of the WaveTrend oscillator.
- `Average Length`: Determines the smoothing applied to the oscillator.
- `Enable/Disable`: Allows users to toggle specific timeframes on or off.
- `Timeframe Value`: Specifies the resolution (e.g., 15m, 60m, 240m) for each timeframe.
- **Label Customization**:
- Users can set the color, size, and text color of buy and sell labels for each timeframe.
#### **2. WaveTrend Calculation**
- The WaveTrend is calculated using the following steps:
1. Compute the `hlc3` price for the specified timeframe.
2. Calculate the Exponential Moving Average (EMA) of `hlc3`.
3. Compute the absolute deviation of `hlc3` from its EMA.
4. Normalize the deviation to create the WaveTrend oscillator (`WT1`).
5. Apply additional smoothing using a Simple Moving Average (SMA) to generate `WT2`.
- This process is repeated for each enabled timeframe using the `request.security` function to fetch data at the specified resolutions.
#### **3. Signal Detection**
- **Buy Signals**:
- A buy signal is generated when `WT1` crosses above `WT2` (crossover condition).
- A label is placed at the **low price** of the candle with an upward-pointing arrow.
- **Sell Signals**:
- A sell signal is generated when `WT1` crosses below `WT2` (crossunder condition).
- A label is placed at the **high price** of the candle with a downward-pointing arrow.
#### **4. Label Placement**
- Buy and sell labels are dynamically positioned:
- **Buy Labels**: Attached to the **low price** of the candle where the crossover occurs.
- **Sell Labels**: Attached to the **high price** of the candle where the crossunder occurs.
- The labels are styled with customizable colors, sizes, and text colors for enhanced visibility.
#### **5. Alert Conditions**
- The script provides three unified alert conditions:
1. **Any WT Cross**: Triggers when any crossover or crossunder occurs on any enabled timeframe.
2. **Any WT Cross Up**: Triggers specifically for buy signals across all enabled timeframes.
3. **Any WT Cross Down**: Triggers specifically for sell signals across all enabled timeframes.
---
### **How to Use**
1. **Configure Timeframes**:
- Adjust the `Channel Length`, `Average Length`, and `Timeframe Value` for each timeframe (`TF1`, `TF2`, `TF3`) based on your trading strategy.
2. **Customize Labels**:
- Modify the label colors, sizes, and text colors to make the signals easily distinguishable on the chart.
3. **Enable Alerts**:
- Set up alerts for `Any WT Cross`, `Any WT Cross Up`, or `Any WT Cross Down` to receive notifications when trading opportunities arise.
4. **Interpret Signals**:
- Look for buy signals (upward arrows) when `WT1` crosses above `WT2`.
- Look for sell signals (downward arrows) when `WT1` crosses below `WT2`.
---
### **Use Cases**
- **Intraday Trading**: Use shorter timeframes (e.g., 5m, 15m) to capture quick momentum-based trades.
- **Swing Trading**: Use longer timeframes (e.g., 60m, 240m) to identify broader trends and reversals.
- **Confirmation**: Combine signals from multiple timeframes to increase confidence in trade setups.
- **Price Action Alignment**: Overlay labels align perfectly with price action, making it easier to interpret signals in context.
---
### **Conclusion**
The WaveTrend 3 Multitimeframe script with overlay functionality is a powerful tool for traders who rely on momentum oscillators to make informed decisions. By analyzing WaveTrend signals across multiple timeframes and displaying them directly on the price chart, users gain a deeper understanding of market dynamics and can act on trading opportunities more effectively. The customizable labels and alert conditions further enhance the usability of the script, making it suitable for both novice and experienced traders.
With its intuitive design and robust functionality, this script is an excellent addition to any trader's toolkit, providing clear and actionable insights into market momentum.
RSI Dashboard by AjitThis Indicator displays the RSI Value from Multiple timeframe (By Defaults: Monthly, Weekly, Daily, 4H, 1H, 15Min, 5Min) at same time.
VWAP Separation w/ StDev (LEX)---
## VWAP Separation with Standard Deviation Bands
**Overview**
This indicator measures and visualizes the raw distance (separation) between a chosen price source (like `hlc3` or `close`) and its corresponding Volume Weighted Average Price (VWAP) for a selected anchor period. It helps traders gauge how far the current price has deviated from its volume-weighted average.
To provide context on the magnitude of this separation, the indicator also calculates and plots dynamic bands representing +/- 1 standard deviation of the separation value itself, calculated over a user-defined lookback period.
**How it Works**
1. **VWAP Calculation:** The indicator first calculates the VWAP based on the user-selected `Anchor Period` (e.g., Session, Week, Month) and `Source` price. The VWAP calculation resets at the beginning of each new anchor period.
2. **Separation Calculation:** It then subtracts the calculated VWAP from the source price for each bar (`Separation = Source - VWAP`).
3. **Plotting Separation:** This raw separation value is plotted as a line in a separate indicator pane.
* Positive values indicate the source price is above the VWAP.
* Negative values indicate the source price is below the VWAP.
4. **Zero Line & Crossings:** A horizontal line at zero is plotted for easy reference. Small circles are plotted on the zero line whenever the separation value crosses it (using `ta.cross`), highlighting moments when the price crosses its VWAP.
5. **Standard Deviation Bands:**
* The indicator calculates the rolling Simple Moving Average (SMA) of the `Separation` value over a specified `StDev Length` using `ta.sma`.
* It then calculates the rolling standard deviation of the `Separation` value over the same length using `ta.stdev`.
* Finally, it plots two dynamic lines: `SMA + 1 StDev` and `SMA - 1 StDev`. These bands represent the typical range of the separation's volatility based on the lookback period.
**How to Use / Interpretation**
* **Magnitude of Separation:** The primary line directly shows how far, in price terms, the market is currently trading away from its VWAP for the chosen anchor period. Large absolute values suggest a significant deviation.
* **Zero Line:** Crossing the zero line indicates the price is moving from one side of the VWAP to the other. The indicator staying consistently above/below zero shows price trending relative to its VWAP.
* **Standard Deviation Bands:** These bands help contextualize the separation.
* When the separation line touches or exceeds the upper band, it suggests the price is unusually far *above* the VWAP compared to its recent behavior.
* When the separation line touches or exceeds the lower band, it suggests the price is unusually far *below* the VWAP compared to its recent behavior.
* These "unusual" deviations *might* indicate over-extended conditions potentially leading to mean reversion back towards the VWAP, *or* they could signal the start of a strong move away from the VWAP. Always use in conjunction with other analysis methods.
* The width of the bands indicates the recent volatility *of the separation value itself*. Wider bands mean the separation has been more volatile; narrower bands mean it's been more stable.
**Key Features**
* Flexible VWAP calculation based on various anchor periods (Session, Week, Month, Earnings, etc.).
* Plots the raw price separation from VWAP.
* Clear zero line reference.
* Visual markers for zero-line crossings.
* Dynamic +/- 1 Standard Deviation bands based on the separation's volatility.
* User-configurable inputs for anchor period, price source, and standard deviation length.
**Settings**
* **Anchor Period:** Determines the calculation period for VWAP (Session, Week, Month, Quarter, Year, Decade, Century, Earnings, Dividends, Splits). Default: `Session`.
* **Source:** The price data used for calculating VWAP and separation (e.g., hlc3, close, open). Default: `hlc3`.
* **StDev Length:** The lookback period (number of bars) used to calculate the moving average and standard deviation of the separation value. Default: `20`.
**Disclaimer**
This indicator is provided for educational and informational purposes only. It does not constitute financial advice or a recommendation to trade. Trading financial markets involves significant risk. Always perform your own due diligence and test any indicator thoroughly before using it in live trading. Past performance is not indicative of future results.
---
Stochastic with EMA + BOS FOR XAUUSD 5MThis indicator combines multi-timeframe Stochastic signals (from M1, M5, M15, M30) with an EMA-based trend filter on M1 to generate bullish and bearish signals. It applies dynamic Stochastic thresholds depending on the M1 EMA trend (fast vs. slow), so the trigger levels for oversold/overbought conditions adjust according to recent market bias. Additionally, it blocks signals if price is too close to the 4H (or ~24H on a 5-minute chart) high or low, helping to avoid entries at potential extremes.
A simple Break of Structure (BOS) check tracks if a bullish or bearish break happened within the last few hours. Signals become stricter if a recent BOS favors the opposite side. The script also looks at the current 3-hour range to classify swing levels as low, medium, or high. Each valid signal is plotted (triangle on the chart) and tied to an alert condition that includes the swing classification. This makes it easier to spot potential high-conviction setups versus more conservative or lower-volatility ones.
Beware NEWS!
SMC-RSI + Footprint PRO ETH IA Jav V10
🧠 Indicator Guide: ETH SMC-RSI + Footprint PRO IA Jav V10
⸻
📌 What does this indicator do?
It identifies real-time LONG/SHORT entry signals on Ethereum (ETH), based on:
• Institutional volume activity
• Advanced footprint logic
• Market structure (BOS, CHoCH)
• RSI divergences
• Absorption candles
• Fair Value Gaps (FVG)
• Liquidity sweeps
• Trend filtering
• Smart repetition control (only the best signal per cluster)
⸻
🧪 Core Logic & Components
⸻
✅ ENTRY SIGNALS (LONG / SHORT)
Example labels:
• 🟢 "L 60% 130K" = LONG signal, 60% score, volume 130K
• 🔴 "S 80% 450K" = SHORT signal, 80% score, volume 450K
• 🟡 Yellow label = alternative signal (strong score but RSI not in extreme)
Scoring system (max 6 points):
LONG signal components:
• SweepLow
• RSI bullish divergence
• Bullish FVG
• CHoCH (change of character)
• No sell absorption
• Footprint buy pressure
SHORT signal components:
• SweepHigh
• RSI bearish divergence
• Bearish FVG
• BOS (break of structure)
• No buy absorption
• Footprint sell pressure
Conditions:
• ≥ 3 points + RSI oversold → ✅ GREEN strong LONG
• ≥ 4 points, no RSI extreme → 🟡 YELLOW alternative LONG
Same logic applies for SHORT.
⸻
⚠️ Institutional Traps (T ⚠️)
Triggered when:
• Volume > average × trap multiplier
• Wick is dominant
• Small candle body
• Absorption structure
• Located near sweeps, BOS or FVG zones
Colors:
• 🟠 Orange = with RSI in overbought/oversold
• 🟣 Purple = neutral RSI
These mark potential trap moves by smart money.
⸻
🧬 Institutional Footprint Tags (LF / SF)
Labels appear when there’s aggressive absorption + strong volume:
• LF → Long Footprint (institutional buying)
• SF → Short Footprint (institutional selling)
Only displayed if “Show Footprint Tags” is enabled.
⸻
🟩 FVG (Fair Value Gaps)
• Shows imbalances in price between candles
• Green = Bullish FVG
• Red = Bearish FVG
• Potential price mitigation zones
⸻
📊 Absorptions
Visualized with triangle shapes:
• 🔼 Aqua (Buy Absorption): bullish candle, strong volume, small body
• 🔽 Orange (Sell Absorption): bearish candle, strong volume, small body
Represents hidden orders getting absorbed at key price levels.
⸻
📈 BOS & CHoCH
• BOS (Break of Structure): breaks a previous high → bullish shift
• CHoCH (Change of Character): breaks previous low → bearish shift
These structural shifts are key in SMC (Smart Money Concepts).
⸻
🔄 Trend Filtering
You can choose:
• "All" → show all signals
• "Trend" → show only signals in direction of trend (20 > 50 SMA)
• "Countertrend" → only show signals against trend
⸻
📏 Target Lines (Possible Objectives)
When enabled:
• Dashed green line = latest swing high (potential LONG target)
• Dashed red line = latest swing low (potential SHORT target)
Helps you visualize possible price objectives from current setup.
⸻
⚙️ Configurable Settings
⸻
🔧 Volume Sensitivity (per timeframe)
You can set:
• Minimum volume for: 5min, 15min, 1H, 4H
• Volume x Average (multiplier) to trigger:
• Absorption (XMedia Absorción)
• Trap detection (XMedia Trampa)
This ensures signals are only generated with institutional interest.
⸻
🎛️ Other Key Toggles
• ✅ Show FVG
• ✅ Show Footprint Tags
• ✅ Show Trap Signals
• ✅ Show Long/Short Signals
• ✅ Show Alerts
• ✅ Filter Repeated Signals (show only strongest one)
⸻
🔔 Alerts
When alerts are enabled:
• You get notified for strong LONG or SHORT signals only
• These include RSI extremes and valid market structure
RRG FX Dashboard – FX vs DXYRelative Rotation Graph (RRG) – FX Dashboard vs. DXY
This Relative Rotation Graph (RRG) indicator offers a clear, at-a-glance overview of the relative strength and momentum of major FX pairs when measured against the US Dollar Index (DXY). It helps identify which currency pairs are leading or lagging in performance and how their relative positioning is evolving over time.
🔎 Structure
Each row in the table represents a currency pair and provides the following data:
Symbol: The FX pair (e.g., EURJPY, GBPUSD, AUDNZD)
RS: The current relative strength ratio vs. DXY
MOM: The momentum of the RS – showing whether strength is accelerating or decelerating
Quadrant:
🔴 Lagging: Underperforming and losing momentum
🔵 Improving: Underperforming but gaining momentum
🟢 Leading: Outperforming with rising momentum
🟡 Weakening (not visible in current table): Outperforming but slowing down
Meaning: A descriptive label summarizing the quadrant status
🧭 Interpretation
Currency pairs in the Leading quadrant (e.g., EURJPY, GBPJPY, CHFJPY, CADJPY) are currently outperforming the USD with rising momentum – often indicating strength across both RS and MOM dimensions.
Pairs in the Improving quadrant (e.g., GBPUSD, EURUSD, AUDUSD) are showing positive momentum but still lagging in relative strength – potential early signs of rotation into leadership.
Pairs in the Lagging quadrant (e.g., USDCHF, USDJPY, AUDCHF) are underperforming and continue to weaken – often considered the least attractive at the current stage of the cycle.
🧠 Purpose
This RRG visualization is particularly useful for:
Macro-level FX rotation analysis
Spotting emerging trends before they are fully priced in
Tracking performance of G10 and cross pairs against USD
It provides context for currency strength beyond individual price movements by placing them in a relative performance framework.
⚠️ Disclaimer: This indicator is for informational and analytical purposes only. It does not constitute investment advice or a recommendation to buy or sell any financial instrument. Always conduct your own research before making trading decisions.
SMC-RSI + Footprint PRO BTC IA Jav V10 Indicator Guide: ETH SMC-RSI + Footprint PRO IA Jav V10
⸻
📌 What does this indicator do?
It identifies real-time LONG/SHORT entry signals on Ethereum (ETH), based on:
• Institutional volume activity
• Advanced footprint logic
• Market structure (BOS, CHoCH)
• RSI divergences
• Absorption candles
• Fair Value Gaps (FVG)
• Liquidity sweeps
• Trend filtering
• Smart repetition control (only the best signal per cluster)
⸻
🧪 Core Logic & Components
⸻
✅ ENTRY SIGNALS (LONG / SHORT)
Example labels:
• 🟢 "L 60% 130K" = LONG signal, 60% score, volume 130K
• 🔴 "S 80% 450K" = SHORT signal, 80% score, volume 450K
• 🟡 Yellow label = alternative signal (strong score but RSI not in extreme)
Scoring system (max 6 points):
LONG signal components:
• SweepLow
• RSI bullish divergence
• Bullish FVG
• CHoCH (change of character)
• No sell absorption
• Footprint buy pressure
SHORT signal components:
• SweepHigh
• RSI bearish divergence
• Bearish FVG
• BOS (break of structure)
• No buy absorption
• Footprint sell pressure
Conditions:
• ≥ 3 points + RSI oversold → ✅ GREEN strong LONG
• ≥ 4 points, no RSI extreme → 🟡 YELLOW alternative LONG
Same logic applies for SHORT.
⸻
⚠️ Institutional Traps (T ⚠️)
Triggered when:
• Volume > average × trap multiplier
• Wick is dominant
• Small candle body
• Absorption structure
• Located near sweeps, BOS or FVG zones
Colors:
• 🟠 Orange = with RSI in overbought/oversold
• 🟣 Purple = neutral RSI
These mark potential trap moves by smart money.
⸻
🧬 Institutional Footprint Tags (LF / SF)
Labels appear when there’s aggressive absorption + strong volume:
• LF → Long Footprint (institutional buying)
• SF → Short Footprint (institutional selling)
Only displayed if “Show Footprint Tags” is enabled.
⸻
🟩 FVG (Fair Value Gaps)
• Shows imbalances in price between candles
• Green = Bullish FVG
• Red = Bearish FVG
• Potential price mitigation zones
⸻
📊 Absorptions
Visualized with triangle shapes:
• 🔼 Aqua (Buy Absorption): bullish candle, strong volume, small body
• 🔽 Orange (Sell Absorption): bearish candle, strong volume, small body
Represents hidden orders getting absorbed at key price levels.
⸻
📈 BOS & CHoCH
• BOS (Break of Structure): breaks a previous high → bullish shift
• CHoCH (Change of Character): breaks previous low → bearish shift
These structural shifts are key in SMC (Smart Money Concepts).
⸻
🔄 Trend Filtering
You can choose:
• "All" → show all signals
• "Trend" → show only signals in direction of trend (20 > 50 SMA)
• "Countertrend" → only show signals against trend
⸻
📏 Target Lines (Possible Objectives)
When enabled:
• Dashed green line = latest swing high (potential LONG target)
• Dashed red line = latest swing low (potential SHORT target)
Helps you visualize possible price objectives from current setup.
⸻
⚙️ Configurable Settings
⸻
🔧 Volume Sensitivity (per timeframe)
You can set:
• Minimum volume for: 5min, 15min, 1H, 4H
• Volume x Average (multiplier) to trigger:
• Absorption (XMedia Absorción)
• Trap detection (XMedia Trampa)
This ensures signals are only generated with institutional interest.
⸻
🎛️ Other Key Toggles
• ✅ Show FVG
• ✅ Show Footprint Tags
• ✅ Show Trap Signals
• ✅ Show Long/Short Signals
• ✅ Show Alerts
• ✅ Filter Repeated Signals (show only strongest one)
⸻
🔔 Alerts
When alerts are enabled:
• You get notified for strong LONG or SHORT signals only
• These include RSI extremes and valid market structure
HG StdDevThe HG StdDev indicator provides a dynamic view of market volatility by calculating the standard deviation of a selected price source over a customizable period. Additionally, it plots a threshold line representing the highest standard deviation over a secondary lookback window.
Red Line: Current standard deviation (volatility) of the price.
Gray Line: Highest standard deviation value within the lookback range, serving as a reference for recent peak volatility.
Use this tool to identify periods of increasing or extreme volatility, potential breakout zones, or to filter signals based on volatility thresholds.
Sonic R+EMA PYTAGOSonic R is a famous discovery of a trader from Singapore. This is a famous trader with topics that attract great interest from the community. Here we will learn about the Sonic R indicator through the following contents:
What is Sonic R?
Install Sonic R on Tradingview
Structure of the Sonic R indicator
03 applications of the Sonic R indicator
Sonic R system rules
How to use Sonic R effectively in trading
06 notes when using Sonic R
What is Sonic R?
Sonic R is an indicator that has been used for a long time in the world, but in Vietnam it has only been popular in the past few years. This EMA set still has the properties of all EMAs:
Trend: Price is above Sonic R for an uptrend, below Sonic R for a downtrend.
Price goes too far and tends to converge with the EMA.
Dynamic support and resistance: price breaks through the EMA and acts to return to test.
Sonic R is an indicator like a moving support resistance resistance with a combination of EMA lines. Including EMA 34, 89 and 200. So why EMA 34 and 89? According to Elliott wave theory, each large wave will have 34 main waves and 89 corrective waves. The EMA lines act as psychological support and resistance. The larger the EMA, the greater the resistance.
Moving Average PairSonic R is a famous discovery of a trader from Singapore. This is a famous trader with topics that attract great interest from the community. Here we will learn about the Sonic R indicator through the following contents:
What is Sonic R?
Install Sonic R on Tradingview
Structure of the Sonic R indicator
03 applications of the Sonic R indicator
Sonic R system rules
How to use Sonic R effectively in trading
06 notes when using Sonic R
What is Sonic R?
Sonic R is an indicator that has been used for a long time in the world, but in Vietnam it has only been popular in the past few years. This EMA set still has the properties of all EMAs:
Trend: Price is above Sonic R for an uptrend, below Sonic R for a downtrend.
Price goes too far and tends to converge with the EMA.
Dynamic support and resistance: price breaks through the EMA and acts to return to test.
Sonic R is an indicator like a moving support resistance resistance with a combination of EMA lines. Including EMA 34, 89 and 200. So why EMA 34 and 89? According to Elliott wave theory, each large wave will have 34 main waves and 89 corrective waves. The EMA lines act as psychological support and resistance. The larger the EMA, the greater the resistance.
RSI + Stochatic RSI BOTSonic R is a famous discovery of a trader from Singapore. This is a famous trader with topics that attract great interest from the community. Here we will learn about the Sonic R indicator through the following contents:
What is Sonic R?
Install Sonic R on Tradingview
Structure of the Sonic R indicator
03 applications of the Sonic R indicator
Sonic R system rules
How to use Sonic R effectively in trading
06 notes when using Sonic R
What is Sonic R?
Sonic R is an indicator that has been used for a long time in the world, but in Vietnam it has only been popular in the past few years. This EMA set still has the properties of all EMAs:
Trend: Price is above Sonic R for an uptrend, below Sonic R for a downtrend.
Price goes too far and tends to converge with the EMA.
Dynamic support and resistance: price breaks through the EMA and acts to return to test.
Sonic R is an indicator like a moving support resistance resistance with a combination of EMA lines. Including EMA 34, 89 and 200. So why EMA 34 and 89? According to Elliott wave theory, each large wave will have 34 main waves and 89 corrective waves. The EMA lines act as psychological support and resistance. The larger the EMA, the greater the resistance.
Pivot Levels with EMA Trend📌 Trend Change Levels with EMA Trend
✨ Description:
This TradingView script identifies clean trend change levels based on 1-hour structure shifts and filters them to keep only those not invalidated. It follows the "Jake Ricci" method, each level is printed at the beginning of the candle that changes the trend, on a 1 hour chart. For precision, make sure to exclude after/pre market and only use the levels on regular hours charts.
It includes dynamic EMAs (9, 50, 200), intraday VWAP, the daily open level printed, and a visual trend label based on EMA(9) slope.
Designed for intermediate traders, it helps build bias, manage entries, and avoid false setups by focusing on clean, reactive levels that the market respects.
🔧 Core Logic:
On the 1H chart, the script compares current and previous closes to detect trend direction. If the trend flips (e.g., up to down), the open of the candle that caused the flip becomes a candidate level.
Only levels that remain untouched by future candle closes are plotted — this filters out “weak” levels that price already violated (which means, a candle closes after passing through the level).
These levels become key S/R zones and often act as reaction points during pullbacks, traps, and liquidity sweeps.
The idea is to check how the price reacts to those levels. Usually there's a clean retest of the level. After that, if the price continues in that direction, it tends to reach the following level.
🔹 Included Tools:
🟣 Trend Change Levels (1H):
Fixed horizontal lines based on confirmed shifts in trend, shown only when not broken.
📉 EMAs (9 / 50 / 200):
Visibility can be set per timeframe. Use for trend context.
📍 EMA Trend Label:
Shows \"UP\", \"DOWN\", or \"RANGE\" based on EMA(9) slope.
🔵 VWAP (Intraday Reset):
Real-time volume-weighted average price that resets daily. Useful for fair value zones and reversion plays.
🟠 Daily Open Line:
Plot of the current day’s open. Used for intraday directional bias. Usually: DO NOT take longs below the Open Print, DO NOT take shorts above it.
📊 ATR Table:
Displays current ATR multiplier on the chart. It's useful to understand if the market is expanding or not.
📈 How to Use It (Strategy):
1. Start on the 1H chart to generate levels.
Only the open of candles that reversed trend are considered — and only if future candles didn’t close through them. I suggest manually adding horizontal lines to mark again the levels, so that they stick to all the timeframes.
2. Use the trend label to decide your bias — \"UP\" for long setups, \"DOWN\" for shorts. Avoid trading against the slope.
3. Switch to the 5m chart and wait for price to approach a plotted level. These are often used for manipulation, retests, or clean reversals.
4. Look for confirmation: rejection candles, break-and-retest, strong engulfing candles, or traps above/below the level. ALWAYS check the price action around the level, along with the volume.
5. Check if VWAP or an EMA is near the level. If yes, the confluence strengthens the trade idea.
6. Use the ATR value to understand if the market is expanding (candles are bigger than the ATR). You don't want to stay in a slow and ranging trade.
✅ Example Entry Flow:
1. On the 1H chart, note a trend change level printed recently.
2. Check the current trend label — if it says \"UP,\" prefer longs.
3. Wait for price to retrace toward the level.
4. On the 5m, look for a bullish engulfing candle or trap setup at the level.
5. Check if VWAP and EMA(50) are near. If yes, execute the trade.
6. Set stop just under the low of the candle prior to your entry. Ideally, a retracing candle.
To be clear: imaging to be LONG, you wait for a retracement that should touch your level. You wait for a candle that resumes the LONG trend, enter when it breaks the high of the previous candle (sill in retracement), you place your stop under the candle prior to your entry.
Notes:
No repainting — levels only show up after confirmed shifts.
Removes broken levels for chart clarity and reliability.
Helps spot high-probability pullback zones and fakeouts.
Perfect confluence tool to support price action, SMC, or EMA strategies.
Works across multiple timeframes with customizable inputs.
👤 Ideal For:
Intraday traders looking for reactive entry points and direction confirmation.
Swing traders wanting to pinpoint continuation zones or reversal pivots.
🚨 Final Note: This indicator doesn’t generate buy/sell signals. It improves your trade filtering by identifying areas the market already respected and reacting to them with price action. Combine it with your own system , test it in replay, and use screenshots to document setups.
📌 If used with discipline, this becomes a precision tool — not a signal generator.
Noxon Cycles Session High/Low Indicator
This powerful indicator automatically marks the Highs and Lows of the Asian, London, and New York trading sessions directly on your chart. It helps traders identify key liquidity zones, potential reversals, and breakout points with precision. Whether you're scalping or swing trading, this tool enhances your market structure analysis and timing for better entries and exits. Perfect for intraday strategies and institutional trading insights.
Ethergy ChronosThe Ethergy Chronos indicator displays major time-based pivot points such as:
Monthly, weekly and daily - previous highs, previous lows, and current opens.
It also displays the separators for each month, week and day.
What makes it original is the fact that it is completely TIME-ZONE customizable, meaning that all specified pivots and separators are calculated and displayed according to the time-zone set.
For instance, if -4 UTC is selected, and the user chart is set to NY time as a default, all mentioned pivots and separators will reference 00:00 (midnight), months will start on the first Monday of that month at 00:00, weeks will start on Monday at 00:00 and daily will follow the same logic. if time-zone is set to -5 UTC then it will be at 01:00 and so forth.
Enjoy.
Ethergy
Choppiness Index [CHOP]🧠 How to Use It
CHOP > 61.8: Likely a sideways/choppy market. Consider sitting out or scalping.
CHOP < 38.2: Strong trend developing — good for trend-following or breakout trades.
Hovering around 50? It’s in a neutral zone, so be cautious.
VWAP + EMA Retracement Indicator SwiftEdgeVWAP + EMA Retracement Indicator
Overview
The VWAP + EMA Retracement Indicator is a powerful and visually engaging tool designed to help traders identify high-probability buy and sell opportunities in trending markets. By combining the Volume Weighted Average Price (VWAP) with two Exponential Moving Averages (EMAs) and a unique retracement-based signal logic, this indicator pinpoints moments when the price pulls back to a key zone before resuming its trend. Its modern, AI-inspired visuals and customizable features make it both intuitive and adaptable for traders of all levels.
What It Does
This indicator generates buy and sell signals based on a sophisticated yet straightforward strategy:
Buy Signals: Triggered when the price is above VWAP, has recently retraced to the zone between two EMAs (default 12 and 21 periods), and a strong bullish candle closes above both EMAs.
Sell Signals: Triggered when the price is below VWAP, has retraced to the EMA zone, and a strong bearish candle closes below both EMAs.
Signal Filtering: A customizable cooldown period ensures that only the first signal in a sequence is shown, reducing noise while preserving opportunities for new trends.
Confidence Scores: Each signal includes an AI-inspired confidence score (0-100%), calculated from candle strength and price distance to VWAP, helping traders gauge signal reliability.
The indicator’s visuals enhance decision-making with dynamic gradient lines, a highlighted retracement zone, and clear signal labels, all customizable to suit your preferences.
How It Works
The indicator integrates several components that work together to create a cohesive trading tool:
VWAP: Acts as a dynamic support/resistance level, reflecting the average price weighted by volume. It filters signals to ensure buys occur in uptrends (price above VWAP) and sells in downtrends (price below VWAP).
Dual EMAs: Two EMAs (default 12 and 21 periods) define a retracement zone where the price is likely to consolidate before continuing its trend. Signals are generated only after the price exits this zone with conviction.
Retracement Logic: The indicator looks for price pullbacks to the EMA zone within a user-defined lookback window (default 5 candles), ensuring signals align with trend continuation patterns.
Candle Strength: Signals require strong candles (bullish for buys, bearish for sells) with a minimum body size based on the Average True Range (ATR), filtering out weak or indecisive moves.
Cooldown Mechanism: A unique feature that prevents signal clutter by allowing only the first signal within a user-defined period (default 3 candles), balancing responsiveness with clarity.
Confidence Score: Combines candle body size and price distance to VWAP to assign a score, giving traders an at-a-glance measure of signal strength without needing external analysis.
These components are carefully combined to capture high-probability setups while minimizing false signals, making the indicator suitable for both short-term and swing trading.
How to Use It
Add to Chart: Apply the indicator to a 15-minute chart (recommended) or your preferred timeframe.
Customize Settings:
VWAP Source: Choose the price source (default: hlc3).
EMA Periods: Adjust the fast and slow EMA periods (default: 12 and 21).
Retracement Window: Set how many candles to look back for retracement (default: 5).
ATR Period & Body Size: Define candle strength requirements (default: 14 ATR period, 0.3 multiplier).
Cooldown Period: Control the minimum candles between signals (default: 3; set to 0 to disable).
Candle Requirements: Toggle whether signals require bullish/bearish candles or entire candle above/below EMAs.
Visuals: Enable/disable gradient colors, retracement zone, confidence scores, and choose a color scheme (Neon, Light, or Dark).
Interpret Signals:
Buy: A green "Buy" label with a confidence score appears below the candle when conditions are met.
Sell: A red "Sell" label with a confidence score appears above the candle.
Use the confidence score to prioritize higher-probability signals (e.g., above 80%).
Trade Management: Combine signals with your risk management strategy, such as setting stop-loss below the retracement zone and targeting a 1:2 risk-reward ratio.
Why It’s Unique
The VWAP + EMA Retracement Indicator stands out due to its thoughtful integration of classic indicators with modern enhancements:
Balanced Signal Filtering: The cooldown mechanism ensures clarity without missing key opportunities, unlike many indicators that overwhelm with frequent signals.
AI-Inspired Confidence: The confidence score simplifies decision-making by quantifying signal strength, mimicking advanced analytical tools in an accessible way.
Elegant Visuals: Dynamic gradients, a highlighted retracement zone, and customizable color schemes (Neon, Light, Dark) create a sleek, futuristic interface that’s both functional and visually appealing.
Flexibility: Extensive customization options let traders tailor the indicator to their style, from conservative swing trading to aggressive scalping.
Wickless Candle MarkerThis indicator highlights "wickless" candles and draws horizontal levels at their price. A wickless candle is defined as a candle with no significant wick on either the top or bottom — meaning the open or close is effectively equal to the high or low, within a user-defined precision threshold.
Features:
Highlights wickless candles in yellow
Draws a horizontal dotted line from the wickless level (either top or bottom)
Automatically removes the level and highlight once the price is touched again
User-adjustable sensitivity threshold to define what counts as "wickless" (default: 0.01%)
This tool is useful for traders looking to identify potential liquidity levels or precise rejection points where price reversed without leaving a wick.
Settings:
Wickless Threshold (%): Adjust the tolerance for wick size relative to the candle range
RSI Forecast [Titans_Invest]RSI Forecast
Introducing one of the most impressive RSI indicators ever created – arguably the best on TradingView, and potentially the best in the world.
RSI Forecast is a visionary evolution of the classic RSI, merging powerful customization with groundbreaking predictive capabilities. While preserving the core principles of traditional RSI, it takes analysis to the next level by allowing users to anticipate potential future RSI movements.
Real-Time RSI Forecasting:
For the first time ever, an RSI indicator integrates linear regression using the least squares method to accurately forecast the future behavior of the RSI. This innovation empowers traders to stay one step ahead of the market with forward-looking insight.
Highly Customizable:
Easily adapt the indicator to your personal trading style. Fine-tune a variety of parameters to generate signals perfectly aligned with your strategy.
Innovative, Unique, and Powerful:
This is the world’s first RSI Forecast to apply this predictive approach using least squares linear regression. A truly elite-level tool designed for traders who want a real edge in the market.
⯁ SCIENTIFIC BASIS LINEAR REGRESSION
Linear Regression is a fundamental method of statistics and machine learning, used to model the relationship between a dependent variable y and one or more independent variables 𝑥.
The general formula for a simple linear regression is given by:
y = β₀ + β₁x + ε
Where:
y = is the predicted variable (e.g. future value of RSI)
x = is the explanatory variable (e.g. time or bar index)
β0 = is the intercept (value of 𝑦 when 𝑥 = 0)
𝛽1 = is the slope of the line (rate of change)
ε = is the random error term
The goal is to estimate the coefficients 𝛽0 and 𝛽1 so as to minimize the sum of the squared errors — the so-called Random Error Method Least Squares.
⯁ LEAST SQUARES ESTIMATION
To minimize the error between predicted and observed values, we use the following formulas:
β₁ = /
β₀ = ȳ - β₁x̄
Where:
∑ = sum
x̄ = mean of x
ȳ = mean of y
x_i, y_i = individual values of the variables.
Where:
x_i and y_i are the means of the independent and dependent variables, respectively.
i ranges from 1 to n, the number of observations.
These equations guarantee the best linear unbiased estimator, according to the Gauss-Markov theorem, assuming homoscedasticity and linearity.
⯁ LINEAR REGRESSION IN MACHINE LEARNING
Linear regression is one of the cornerstones of supervised learning. Its simplicity and ability to generate accurate quantitative predictions make it essential in AI systems, predictive algorithms, time series analysis, and automated trading strategies.
By applying this model to the RSI, you are literally putting artificial intelligence at the heart of a classic indicator, bringing a new dimension to technical analysis.
⯁ VISUAL INTERPRETATION
Imagine an RSI time series like this:
Time →
RSI →
The regression line will smooth these values and extend them n periods into the future, creating a predicted trajectory based on the historical moment. This line becomes the predicted RSI, which can be crossed with the actual RSI to generate more intelligent signals.
⯁ SUMMARY OF SCIENTIFIC CONCEPTS USED
Linear Regression Models the relationship between variables using a straight line.
Least Squares Minimizes the sum of squared errors between prediction and reality.
Time Series Forecasting Estimates future values based on historical data.
Supervised Learning Trains models to predict outputs from known inputs.
Statistical Smoothing Reduces noise and reveals underlying trends.
⯁ WHY THIS INDICATOR IS REVOLUTIONARY
Scientifically-based: Based on statistical theory and mathematical inference.
Unprecedented: First public RSI with least squares predictive modeling.
Intelligent: Built with machine learning logic.
Practical: Generates forward-thinking signals.
Customizable: Flexible for any trading strategy.
⯁ CONCLUSION
By combining RSI with linear regression, this indicator allows a trader to predict market momentum, not just follow it.
RSI Forecast is not just an indicator — it is a scientific breakthrough in technical analysis technology.
⯁ Example of simple linear regression, which has one independent variable:
⯁ In linear regression, observations ( red ) are considered to be the result of random deviations ( green ) from an underlying relationship ( blue ) between a dependent variable ( y ) and an independent variable ( x ).
⯁ Visualizing heteroscedasticity in a scatterplot against 100 random fitted values using Matlab:
⯁ The data sets in the Anscombe's quartet are designed to have approximately the same linear regression line (as well as nearly identical means, standard deviations, and correlations) but are graphically very different. This illustrates the pitfalls of relying solely on a fitted model to understand the relationship between variables.
⯁ The result of fitting a set of data points with a quadratic function:
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🥇 This is the world’s first RSI indicator with: Linear Regression for Forecasting 🥇_______________________________________________________________________
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🔮 Linear Regression: PineScript Technical Parameters 🔮
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Forecast Types:
• Flat: Assumes prices will remain the same.
• Linreg: Makes a 'Linear Regression' forecast for n periods.
Technical Information:
ta.linreg (built-in function)
Linear regression curve. A line that best fits the specified prices over a user-defined time period. It is calculated using the least squares method. The result of this function is calculated using the formula: linreg = intercept + slope * (length - 1 - offset), where intercept and slope are the values calculated using the least squares method on the source series.
Syntax:
• Function: ta.linreg()
Parameters:
• source: Source price series.
• length: Number of bars (period).
• offset: Offset.
• return: Linear regression curve.
This function has been cleverly applied to the RSI, making it capable of projecting future values based on past statistical trends.
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⯁ WHAT IS THE RSI❓
The Relative Strength Index (RSI) is a technical analysis indicator developed by J. Welles Wilder. It measures the magnitude of recent price movements to evaluate overbought or oversold conditions in a market. The RSI is an oscillator that ranges from 0 to 100 and is commonly used to identify potential reversal points, as well as the strength of a trend.
⯁ HOW TO USE THE RSI❓
The RSI is calculated based on average gains and losses over a specified period (usually 14 periods). It is plotted on a scale from 0 to 100 and includes three main zones:
• Overbought: When the RSI is above 70, indicating that the asset may be overbought.
• Oversold: When the RSI is below 30, indicating that the asset may be oversold.
• Neutral Zone: Between 30 and 70, where there is no clear signal of overbought or oversold conditions.
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⯁ ENTRY CONDITIONS
The conditions below are fully flexible and allow for complete customization of the signal.
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🔹 CONDITIONS TO BUY 📈
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• Signal Validity: The signal will remain valid for X bars .
• Signal Sequence: Configurable as AND or OR .
📈 RSI Conditions:
🔹 RSI > Upper
🔹 RSI < Upper
🔹 RSI > Lower
🔹 RSI < Lower
🔹 RSI > Middle
🔹 RSI < Middle
🔹 RSI > MA
🔹 RSI < MA
📈 MA Conditions:
🔹 MA > Upper
🔹 MA < Upper
🔹 MA > Lower
🔹 MA < Lower
📈 Crossovers:
🔹 RSI (Crossover) Upper
🔹 RSI (Crossunder) Upper
🔹 RSI (Crossover) Lower
🔹 RSI (Crossunder) Lower
🔹 RSI (Crossover) Middle
🔹 RSI (Crossunder) Middle
🔹 RSI (Crossover) MA
🔹 RSI (Crossunder) MA
🔹 MA (Crossover) Upper
🔹 MA (Crossunder) Upper
🔹 MA (Crossover) Lower
🔹 MA (Crossunder) Lower
📈 RSI Divergences:
🔹 RSI Divergence Bull
🔹 RSI Divergence Bear
📈 RSI Forecast:
🔮 RSI (Crossover) MA Forecast
🔮 RSI (Crossunder) MA Forecast
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🔸 CONDITIONS TO SELL 📉
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• Signal Validity: The signal will remain valid for X bars .
• Signal Sequence: Configurable as AND or OR .
📉 RSI Conditions:
🔸 RSI > Upper
🔸 RSI < Upper
🔸 RSI > Lower
🔸 RSI < Lower
🔸 RSI > Middle
🔸 RSI < Middle
🔸 RSI > MA
🔸 RSI < MA
📉 MA Conditions:
🔸 MA > Upper
🔸 MA < Upper
🔸 MA > Lower
🔸 MA < Lower
📉 Crossovers:
🔸 RSI (Crossover) Upper
🔸 RSI (Crossunder) Upper
🔸 RSI (Crossover) Lower
🔸 RSI (Crossunder) Lower
🔸 RSI (Crossover) Middle
🔸 RSI (Crossunder) Middle
🔸 RSI (Crossover) MA
🔸 RSI (Crossunder) MA
🔸 MA (Crossover) Upper
🔸 MA (Crossunder) Upper
🔸 MA (Crossover) Lower
🔸 MA (Crossunder) Lower
📉 RSI Divergences:
🔸 RSI Divergence Bull
🔸 RSI Divergence Bear
📉 RSI Forecast:
🔮 RSI (Crossover) MA Forecast
🔮 RSI (Crossunder) MA Forecast
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🤖 AUTOMATION 🤖
• You can automate the BUY and SELL signals of this indicator.
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⯁ UNIQUE FEATURES
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Linear Regression: (Forecast)
Signal Validity: The signal will remain valid for X bars
Signal Sequence: Configurable as AND/OR
Condition Table: BUY/SELL
Condition Labels: BUY/SELL
Plot Labels in the Graph Above: BUY/SELL
Automate and Monitor Signals/Alerts: BUY/SELL
Linear Regression (Forecast)
Signal Validity: The signal will remain valid for X bars
Signal Sequence: Configurable as AND/OR
Condition Table: BUY/SELL
Condition Labels: BUY/SELL
Plot Labels in the Graph Above: BUY/SELL
Automate and Monitor Signals/Alerts: BUY/SELL
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📜 SCRIPT : RSI Forecast
🎴 Art by : @Titans_Invest & @DiFlip
👨💻 Dev by : @Titans_Invest & @DiFlip
🎑 Titans Invest — The Wizards Without Gloves 🧤
✨ Enjoy!
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o Mission 🗺
• Inspire Traders to manifest Magic in the Market.
o Vision 𐓏
• To elevate collective Energy 𐓷𐓏
Volume Pulse: Mobile-Optimized Candle Volume Viewer✨ Description ✨
Sleek. Simple. Sexy.
A modern, minimal volume tracker designed for mobile and desktop users who want clean data without clutter.
✅ Displays the volume of the last N candles with intuitive green/red background colors based on candle direction (bullish/bearish).
✅ Automatically converts numbers into K/M/B format for quick understanding.
✅ Comes with a text size setting, so it's fully readable whether you're on a phone or desktop.
Perfect for traders who want to:
Spot volume spikes at a glance
Quickly compare recent candle volumes
Stay mobile-friendly with a visual style that actually fits
Multiple VWMAMultiple VWMA 10,20,50,100,200. Eventually Indicator should be in line like 10>20>50>100>200. Crossing this indicator will help to know the price movement. preferable is 20 VWMA crossing 50 on either side give good movment upside or down side for short term.
Regg.v.scalp.Dom-6.Rev-108Regg.v.scalp.Dom-6.Rev-108 – Invite-Only Strategy
Description:
This is a basic scalping strategy created for volatile crypto markets. It is designed to generate small, consistent profits through short-term trades.
You can try this strategy free for one week. If it works well for you and gives profit, you can contact the author to continue using it.
4 EMAs with Entry and Exit Strategy🔍 Purpose of the Script:
This strategy is designed to identify bullish trends using a combination of Exponential Moving Averages (EMAs) and the Relative Strength Index (RSI), and execute long entries and exits accordingly.
📈 Key Technical Indicators Used:
EMAs (Exponential Moving Averages):
ema9, ema21, ema63, and ema200 are calculated to determine short-, mid-, and long-term trends.
An unused ema126 is mentioned but commented out.
RSI (Relative Strength Index):
A 14-period RSI is calculated and used to avoid entries when the stock is overbought.
🟢 Entry Logic (Long):
The strategy enters a long position when:
A bullish trend is confirmed by EMA alignment:
ema9 > ema21 > ema63 > ema200
The closing price is above ema9
RSI is ≤ 60, to avoid entering overbought conditions
🔴 Exit Logic (Long Exit):
The strategy exits a long position when:
ema21 crosses below ema63 (bearish signal)
There are commented-out conditions like:
RSI > 80 (overbought)
Close > 1.4 × ema126 (price extended far above average)
🎨 Visualization:
EMAs are plotted in different colors for trend visibility.
Background color turns:
Light green in bullish trend
Light red in bearish trend
⚙️ Strategy Configuration:
Capital: ₹10,00,000
Position size: 10% of equity
Commission: 0.75% per trade (roundtrip)
Overlay: true (indicators and trades plotted on price chart)
✅ Highlights:
Clear trend detection with layered EMA logic
Avoids overbought entries using RSI ≤ 60
Customizable and extendable (e.g., you can uncomment EMA126 and add price-overextension logic)