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Day’s Open ForecastOverview This Pine Script indicator combines two primary components: 1. Day’s Open Forecast: o Tracks historical daily moves (up and down) from the day’s open. o Calculates average up and down moves over a user-defined lookback period. o Optionally includes standard deviation adjustments to forecast potential intraday levels. o Plots lines on the chart for the forecasted up and down moves from the current day's open. 2. Session VWAP: o Allows you to specify a custom trading session (by time range and UTC offset). o Calculates and plots a Volume-Weighted Average Price (VWAP) during that session. By combining these two features, you can gauge potential intraday moves relative to historical behavior from the open, while also tracking a session-specific VWAP that can act as a dynamic support/resistance reference. How the Code Works 1. Collect Daily Moves o The script detects when a new day starts using time("D"). o Once a new day is detected, it stores the previous day’s up-move (dayHigh - dayOpen) and down-move (dayOpen - dayLow) into arrays. o These arrays keep track of the last N days (default: 126) of up/down move data. 2. Compute Statistics o The script computes the average (f_average()) of up-moves and down-moves over the stored period. o It also computes the standard deviation (f_stddev()) of up/down moves for optional “forecast bands.” 3. Forecast Lines o Plots the current day’s open. o Plots the average forecast lines above and below the open (Avg Up Move Level and Avg Down Move Level). o If standard deviation is enabled, plots additional lines (Avg+StdDev Up and Avg+StdDev Down). 4. Session VWAP o The script detects the start of a user-defined session (via input.session) and resets accumulation of volume and the numerator for VWAP. o As each bar in the session updates, it accumulates volume (vwapCumulativeVolume) and a price-volume product (vwapCumulativeNumerator). o The session VWAP is then calculated as (vwapCumulativeNumerator / vwapCumulativeVolume) and plotted. 5. Visualization Options o Users can toggle standard deviation usage, historical up/down moves plotting, and whether to show the forecast “bands.” o The vwapSession and vwapUtc inputs let you adjust which session (and time zone offset) the VWAP is calculated for. ________________________________________ How to Use This Indicator on TradingView 1. Create a New Script o Open TradingView, then navigate to Pine Editor (usually found at the bottom of the chart). o Copy and paste the entire code into the editor. 2. Save and Add to Chart o Click Save (give it a relevant title if you wish), then click Add to chart. o The indicator will appear on your chart with the forecast lines and VWAP. o By default, it is overlayed on the price chart (because of overlay=true). 3. Customize Inputs o In the indicator’s settings, you can:  Change lookback days (default: 126).  Enable or disable standard deviation (Include Standard Deviation in Forecast?).  Adjust the standard deviation multiplier.  Choose whether to plot bands (Plot Bands with Averages/StdDev?).  Plot historical moves if desired (Plot Historical Up/Down Moves for Reference?).  Set your custom session and UTC offset for the VWAP calculation. 4. Interpretation o “Current Day Open” is simply today’s open price on your chart. o Up/Down Move Lines: Indicate a potential forecast based on historical averages.  If standard deviation is enabled, the second set of lines acts as an extended range. o VWAP: Helpful for determining intraday price equilibrium over the specified session. Important Notes / Best Practices • The script only updates the historical up/down move data once per day (when a new day starts). • The VWAP portion resets at the start of the specified session each day. • Standard deviation multiplies the average up/down range, giving you a sense of “volatility range” around the day’s open. • Adjust the lookback length (dayCount) to balance how many days of data you want to average. More days = smoother but possibly slower to adapt; fewer days = more reactive but potentially less reliable historically. Educational & Liability Disclaimers 1. Educational Disclaimer o The information provided by this indicator is for educational and informational purposes only. It is a technical analysis tool intended to demonstrate how to use historical data and basic statistics in Pine Script. 2. No Financial Advice o This script does not constitute financial or investment advice. All examples and explanations are solely illustrative. You should always do your own analysis before making any investment decisions. 3. No Liability o The author of this script is not liable for any losses or damages—monetary or otherwise—that may occur from the application of this script. o Past performance does not guarantee future results, and you should never invest money you cannot afford to lose. By adding this indicator to your TradingView chart, you acknowledge and accept that you alone are responsible for your own trading decisions. Enjoy using the “Day’s Open Forecast” and Session VWAP for better market insights!
Chỉ báo Pine Script®
bởi SnipeTheDipNDieRich
Dip Point Detection[MedAlgo]🔍 Smart Reversal Detector | Momentum + FVG + Pivot Zones "Trade the turn, not the trend." This high-precision indicator is built to detect high-probability market dips and reversal points using a sophisticated multi-layered algorithm. Whether you’re a swing trader, crypto scalper, or long-term investor, this tool helps you enter trades before momentum shifts become obvious to the rest of the market. 🧠 How It Works – Multi-Factor Signal Engine This is not a simple signal-flipping tool. It combines several key technical concepts into a single powerful system to generate high-confidence reversal alerts, designed for quick 3–5% moves or more, depending on the asset and volatility. Here's what goes into it: 🔄 1. Trend Reversal Bar Colors Potentiel signal is shown on reversal 💥 2. Momentum Oscillators (Internal blend) Hidden momentum shifts are calculated using proprietary oscillator logic. Detects when a symbol is slowing down, even if the price action appears strong. Helps confirm true reversals vs. minor pullbacks. 🔍 3. Fair Value Gap (FVG) Zones – Highlighted Colored Areas Colored rectangles/zones on the chart represent Fair Value Gaps — price inefficiencies caused by aggressive buying/selling. These zones act as magnets — price often returns to fill them, making them ideal targets for entries or exits. When price reacts around FVG + other confluence, it becomes a high-probability signal. 🔼🔽 4. Highs and Lows (HH / LL Markers) Visually marks Higher Highs (HH) and Lower Lows (LL) to track evolving market structure. Helps you visually confirm trend shifts or breaks in structure. 📊 5. Support & Resistance Zones (Dotted Lines) Auto-detected horizontal dotted lines show key reaction levels based on recent swing highs/lows. Frequently align with volume nodes and previous liquidity zones. 🎯 6. Pivot Points Plotted as major inflection areas, these pivots give additional structure for entry, exit, or stop placement. Combined with FVG and momentum, they create powerful convergence zones. 📉 Momentum + Trend Indicator Fusion This tool is a hybrid of momentum and trend-following logic, designed to answer two core questions: Is this move exhausted? Is the symbol preparing to reverse or recharge? You’ll know when: Momentum starts waning (even before price reacts) Price re-enters a fair value zone with potential for reversal Market structure (HH/LL) starts breaking A reversal signal is confirmed by multiple factors This allows you to: Avoid chasing late entries Enter earlier than traditional indicators Stay out of low-probability setups ⏱️ Timeframe Guidance While this indicator works across multiple timeframes, the recommended timeframe is from 1H to Weekly. Here's why: 🕐 1H to Weekly: More reliable signals, lower noise, suitable for swing trades or strategic entries ⚠️ 1m–30m: May generate frequent signals, but carries higher volatility and false positive risk 💡 For scalping on lower timeframes, combine with volume, liquidity zones, or confirmation from other indicators 🔎 Trade smarter, not faster. Less frequent signals but with higher confidence is the key to consistent profitability.
Chỉ báo Pine Script®
bởi MedAlgo
Multi-SMA Dashboard (10 SMAs)Description: This script, "Multi-SMA Dashboard (10 SMAs)," creates a dashboard on a TradingView chart to analyze ten Simple Moving Averages (SMAs) of varying lengths. It overlays the chart and displays a table with each SMA’s direction, price position relative to the SMA, and angle of movement, providing a comprehensive trend overview. How It Works: 1. **Inputs**: Users define lengths for 10 SMAs (default: 5, 10, 20, 50, 100, 150, 200, 250, 300, 350), select a price source (default: close), and customize table appearance and options like angle units (degrees/radians) and debug plots. 2. **SMA Calculation**: Computes 10 SMAs using the `ta.sma()` function with user-specified lengths and price source. 3. **Direction Determination**: The `sma_direction()` function checks each SMA’s trend: - "Up" if current SMA > previous SMA. - "Down" if current SMA < previous SMA. - "Flat" if equal (no strength distinction). 4. **Price Position**: Compares the price source to each SMA, labeling it "Above" or "Below." 5. **Angle Calculation**: Tracks the most recent direction change point for each SMA and calculates its angle (atan of price change over time) in degrees or radians, based on the `showInRadians` toggle. 6. **Table Display**: A 12-column table shows: - Columns 1-10: SMA name, direction (Up/Down/Flat), Above/Below status, and angle. - Column 11: Summary of Up, Down, and Flat counts. - Colors reflect direction (lime for Up/Above, red for Down/Below, white for Flat). 7. **Debug Option**: Optionally plots all SMAs and price for visual verification when `debug_plots_toggle` is enabled. Indicators Used: - Simple Moving Averages (SMAs): 10 user-configurable SMAs ranging from short-term (e.g., 5) to long-term (e.g., 350) periods. The script runs continuously, updating the table on each bar, and overlays the chart to assist traders in assessing multi-timeframe trend direction and momentum without cluttering the view unless debug mode is active.
Chỉ báo Pine Script®
bởi ZMGcustom
Multi-Timeframe Trading SystemOverview The Multi-Timeframe Trading System is an advanced technical analysis indicator designed to identify high-probability trading opportunities by combining signals from multiple timeframes and trading strategies. This system analyzes market context, identifies optimal setups, and confirms entries with lower timeframe precision, significantly increasing signal reliability. Key Features Triple Timeframe Analysis: Combines high, medium, and low timeframe data for comprehensive market analysis Three Trading Strategies in One: Incorporates trend-following, mean-reversion, and breakout strategies Adaptive to Market Conditions: Automatically identifies the current market context (trending or ranging) and applies the appropriate strategy Signal Strength Evaluation: Rates buy/sell signals from weak to strong based on indicator confluence Visual Alerts: Clear buy/sell signals with on-chart markers and signal labels Customizable Parameters: Fully adjustable settings for all indicators and timeframes Technical Indicators Included -Moving Averages (EMA 50, EMA 200) -Ichimoku Cloud components -ADX for trend strength -RSI for momentum and oversold/overbought conditions -Stochastic oscillator for entry timing -MACD for trend confirmation -Bollinger Bands for volatility and price channels -ATR for measuring market volatility Trading Strategies 1. Trend-Following Strategy Identifies the primary trend direction on higher timeframes Locates optimal pullback entry points on medium timeframes Confirms entries with precision using lower timeframe momentum signals 2. Mean-Reversion Strategy Activates during ranging market conditions Identifies oversold and overbought conditions using Bollinger Bands and RSI Confirms reversals with Stochastic crossovers 3. Breakout Strategy Detects price consolidation periods through Bollinger Band width Identifies volatility expansion and price breakouts Confirms breakout direction with momentum indicators Ideal For Swing traders looking for high-probability setups Day traders seeking to align with the larger trend Traders who want systematic confirmation across multiple timeframes Those looking to adapt their trading approach to changing market conditions How To Use Apply the indicator to your chart and customize the timeframe settings to match your trading style -Observe the market context information (uptrend, downtrend, or ranging) -Wait for a setup to form on the medium timeframe -Enter when the low timeframe confirms the signal -Use the signal strength rating to prioritize the highest probability trades The Multi-Timeframe Trading System eliminates the guesswork from your trading by providing clear, objective signals based on professional-grade multi-timeframe analysis techniques.
Chỉ báo Pine Script®
bởi Iamedcadet
RSI + MA + Divergence + SnR + Price levelOverview This indicator combines several technical analysis tools to give traders a comprehensive view based on the RSI indicator. Its main features include: RSI & Moving Averages on RSI: RSI: Calculates the RSI based on the closing price (or a user-selected source) with a configurable period (default is 14). EMA and WMA: Computes and plots an Exponential Moving Average (EMA with a period of 9) and a Weighted Moving Average (WMA with a period of 45) on the RSI, helping to smooth out signals and better identify trends. Price Ladder Based on RSI: Draws horizontal lines at specified target RSI levels (from targetRSI1 to targetRSI7, default levels ranging from 20 to 80). Calculates a target price based on the price change relative to the averaged gains and losses, providing an estimated price level when the RSI reaches those critical levels. Divergence Detection: Identifies divergence between price and RSI: Bullish Divergence: Detected when the price forms a lower low but RSI fails to confirm with a corresponding lower low, with the RSI falling under a configurable threshold (d_below). Bearish Divergence: Detected when the price forms a higher high while the RSI does not, with the RSI exceeding a configurable upper threshold (d_upper). Optionally displays labels on the chart to alert the trader when divergence signals are detected. Auto Support & Resistance on RSI: Automatically calculates and plots support and resistance lines based on the RSI over different lookback periods (e.g., 34, 89, 200 bars). Helps traders identify key RSI levels where price reversals or breakouts might occur. Benefits for the Trader This indicator is designed to assist traders in their decision-making process by integrating multiple technical analysis elements: Identifying Market Trends: By combining the RSI with its moving averages (EMA, WMA), traders can better assess market trends and the strength of these trends, thereby improving trade entry accuracy. Early Reversal Signals via Divergence: Divergence signals (both bullish and bearish) can help forecast potential reversals in the market, allowing traders to adjust their strategies timely. Determining RSI-Based Support/Resistance Levels: Automatic identification of support and resistance levels on the RSI provides key areas where a price reversal or breakout may occur, assisting traders in setting stop-loss and take-profit levels strategically. Price Target Forecasting with the Price Ladder: The target price labels calculated at important RSI levels provide insights into potential price objectives, aiding in risk management and profit planning. Flexible Configuration: Traders can customize key parameters such as the RSI period, lengths for EMA and WMA, target RSI levels, divergence conditions, and support/resistance settings. This flexibility allows the indicator to adapt to different trading styles and strategies. How to read data Some use-cases Used to estimate price according to the RSI level. When you trade using RSI, you want to set your stop-loss or take-profit levels based on RSI. By looking at the price ladder, you know the corresponding price level to enter a trade. Used to determine the entry zone. RSI often reacts to its own previously established support/resistance levels. Use the Auto SnR feature to identify those zones. Used to determine the trend. RSI and its moving averages help identify the price trend: Uptrend: 3 lines separate and point upward. Downtrend: 3 lines separate and point downward. Use WMA45 to determine the trend: Uptrend: WMA45 is moving upward or trading above the 50 level. Downtrend: WMA45 is moving downward or trading below the 50 level. Sideways: WMA45 is trading around the 50 level. Use EMA9 to confirm the trend: A crossover of EMA9 through WMA45 confirms the formation of a new trend. Configuration The script allows users to configure a number of important parameters to suit their analytical preferences: RSI Settings: RSI Length (rsiLengthInput): The number of periods used to compute the RSI (default is 14, adjustable as needed). RSI Source (rsiSourceInput): Select the price source (default is the closing price). RSI Color (rsiClr): The color used to display the RSI line. Moving Averages on RSI: EMA Length (emaLength): The period for calculating the EMA on RSI (default is 9). WMA Length (wmaLength): The period for calculating the WMA on RSI (default is 45). EMA Color (emaClr) and WMA Color (wmaClr): Customize the colors of the EMA and WMA lines. Price Ladder Settings: Toggle Price Ladder (showPrice): Enable or disable the display of the price ladder. Target RSI Levels: targetRSI1 through targetRSI7: RSI values at which target prices are calculated (default values range from 20, 30, 40, 50, 60, 70 to 80). Price Label Color (priceColor): The text color for displaying the target price labels. Divergence Settings: Divergence Toggle (calculateDivergence): Option to enable or disable divergence calculation and display. Divergence Conditions: d_below: RSI level below which bullish divergence is considered. d_upper: RSI level above which bearish divergence is considered. Display Divergence Labels (showDivergenceLabel): Option to display labels on the chart when divergence is detected. Auto Support & Resistance on RSI: Toggle Auto S&R (enableAutoSnR): Enable or disable automatic plotting of support and resistance levels. Lookback Periods for Support/Resistance: L1_lookback: Lookback period for level 1 (e.g., 34 bars). L2_lookback: Lookback period for level 2 (e.g., 89 bars). L3_lookback: Lookback period for level 3 (e.g., 200 bars). Support and Resistance Colors: rsiSupportClr: Color for the support line. rsiResistanceClr: Color for the resistance line. Alerts: Divergence Alerts: Alert conditions are set up to notify the trader when bullish or bearish divergence is detected, aiding in timely decision-making.
Chỉ báo Pine Script®
bởi dangtunglam14
Pino Trend Pack (SMA/EMA + Bollinger)🔹 Pino Trend Pack is a compact trend-following and volatility indicator that includes: 📈 Moving Averages: - SMA 10, SMA 30 - EMA 21, EMA 55, EMA 89 (All configured for short-term to mid-term trend analysis by default, but fully adjustable for user preference.) 📊 Bollinger Bands: - Period: 20 - Standard Deviation: 2.0 - Includes Upper Band, Lower Band, and Basis (SMA 20) This pack is designed for traders who want a clean visual of price dynamics across multiple short-term trend layers, combined with volatility tracking. It helps you identify compression, expansion, and trend shifts at a glance. 🧠 Ideal for swing trading, short- to mid-term setups, or as a supporting tool in any confluence-based strategy.
Chỉ báo Pine Script®
bởi pino_chart
GOD Momentum🔮 GOD Momentum — Bullish Entry Signal Indicator Description: GOD Momentum is a custom-built technical indicator designed to capture high-probability bullish entry signals on indices (such as US30, NAS100, GER40 ) and XAUUSD (gold). It is optimized for the 30-minute timeframe, providing clean, timely signals for short-term momentum trading. The logic behind the indicator combines the Relative Strength Index (RSI) with a smoothed stochastic oscillator. This blend helps identify moments when price momentum shifts from bearish exhaustion to a potential bullish impulse. When a bullish setup is detected, a green triangle appears below the price , serving as a visual cue to consider entering a long trade . ⚙️ How the Indicator Works: - The RSI is calculated based on the selected source (default: close price). - A stochastic calculation is applied to the RSI itself to analyze momentum within the momentum. - The stochastic is then smoothed with two moving averages (K and D) to reduce noise. - A bullish signal is triggered when the smoothed K line crosses above the oversold threshold of 15. - When this condition is met, a green upward triangle (▲) appears on the main chart, below the corresponding candle. 📈 Strategy Guidelines: - Recommended Timeframe : 30 minutes - Markets: Stock indices (e.g., US30, NAS100, GER40) and commodities (XAUUSD) - Trade Direction : Only long positions (buys) - Entry Signal : A green arrow appears below the candle when a bullish momentum shift is detected - Profit Target : Between 0.5% and 1% per trade - Risk Management : Use stop-loss orders and proper position sizing. Ideal stop placement is below the recent swing low or a technical support level. 🔧 Customizable Inputs: - K Smoothing : Number of periods for the first smoothing line - D Smoothing : Number of periods for the second smoothing line - RSI Length : Controls sensitivity of the RSI - Stochastic Length : Determines the window for stochastic analysis - RSI Source : Select the input source (default is close) This indicator is intended for momentum scalpers and day traders who want to time entries precisely and consistently. It offers a clean visual and intuitive logic, helping you stay focused on high-conviction setups without unnecessary noise.
Chỉ báo Pine Script®
bởi ElInverso
Super RSI - MA Screener Multi Timeframe [DucTri_dev]I. Overview The "Super RSI - MA Screener Multi Timeframe" indicator is a powerful and flexible screening tool designed to help traders monitor and analyze the Relative Strength Index (RSI) along with its Moving Averages across multiple symbols and timeframes simultaneously. Instead of opening numerous charts or constantly switching between them, this indicator consolidates all critical information into an intuitive Dashboard directly on your chart. It helps you quickly identify potential trading opportunities based on overbought, oversold conditions, or crossover signals between the RSI and its MAs across the markets and timeframes you are interested in. II. Key Features Visual Dashboard: Clearly displays RSI and 2 RSI Moving Average values for each selected symbol and timeframe. Multi-Timeframe Analysis: Allows selecting and monitoring up to 4 different timeframes simultaneously (e.g., 30m, 1H, 4H, 1D). If no timeframe is selected, the indicator uses the current chart's timeframe . Multi-Symbol Scanning: Supports scanning up to 8 symbols (customizable in the code if needed). RSI & MAs on RSI: Calculates standard RSI with customizable Length and Source. Computes 2 Moving Averages (SMA, EMA, WMA, SMMA, VWMA) directly on the RSI values with customizable lengths. Smart Color Coding: Dashboard cells are colored based on RSI values (e.g., deep red for overbought >80, deep green for oversold <20) and the RSI's position relative to its MAs (green when RSI > MA, red when RSI < MA), enabling quick assessment of market conditions. Flexible Filtering: Allows filtering the list of symbols displayed on the Dashboard based on RSI conditions. For example, show only symbols with RSI > 70 or RSI < 30 on "At Least 1 Timeframe" or "All Timeframes" selected. Sorting: Option to sort symbols in the dashboard based on their average RSI value across timeframes (Ascending, Descending, or None). Flexible Alerts: Provides multiple powerful alert options so you don't miss important signals : RSI crossing above/below a specific level. RSI being greater/less than a specific level. RSI crossing above/below both of its Moving Averages. III. How it Works Data Fetching: The indicator uses the request.security function to retrieve price data (close price or other user-selected source) for the configured symbols and timeframes . RSI Calculation: Calculates the RSI value for each symbol/timeframe based on the selected length and source . RSI MA Calculation: Computes the values of the 2 Moving Averages based on the calculated RSI series, using the user-selected MA type and length . Dashboard Display: Aggregates all RSI and RSI-MA values into a dashboard table . Cells are color-coded according to rules based on RSI thresholds (e.g., 20, 30, 40, 50, 60, 70, 80) and the crossover/relative position between RSI and its MAs . Filtering & Sorting Application: If enabled, the indicator filters out symbols that don't meet the criteria and/or reorders the symbols in the table . Alert Check: On each bar close (alert.freq_once_per_bar_close), the indicator checks if any alert conditions configured by the user are met . IV. How to Use 1. Add Indicator: Add the "Super RSI - MA Screener Multi Timeframe " indicator to your TradingView chart. 2. Open Settings: RSI Settings: RSI Length : The lookback period for RSI calculation (default 14). Source : The price source used for RSI calculation (default Close). MA Settings: (Note: These MAs are calculated on the RSI, not the price) Type 1, Length 1 : Select the type and length for the first RSI Moving Average. Type 2, Length 2 : Select the type and length for the second RSI Moving Average. Dashboard: Position : Choose the dashboard's location on the chart. Size : Select the text size within the table (Small, Medium, Large). Sort : Choose how symbols are sorted (Ascending, Descending by average RSI, or None). Filter: Enable RSI > (inpFilter_higher_en) or RSI < (inpFilter_lower_en) filters. Select the filter condition ("At Least 1 Timeframe" / "All Timeframes"). Enter the RSI threshold for filtering (RSI >, RSI <). Timeframe: Enable/disable and select the timeframes you want to scan. Select Currency Pairs: Enable/disable and select the symbols you want to include in the scan. Alert Settings: Select Alert: Choose the type of alert condition you want to use. Enter the RSI value used for fixed-level alerts (e.g., Crosses Up 70, Less Than 30). 3. Read the Dashboard: Rows represent the selected symbols. The first group of columns shows RSI values for the selected timeframes, with background colors indicating overbought/oversold zones. The next group of columns shows the values of the 2 RSI-MAs, with background colors indicating whether the RSI is above (green) or below (red) that MA. 4. Setting Up Alerts: Open TradingView's alert creation window. Under "Condition", select the indicator name "Super RSI - MA Screener Multi Timeframe ". Choose the alert condition that corresponds to your selection in the indicator's Select Alert setting (There will often be just one general option like "Alert" or the specific alert name, as the condition logic is handled internally). Customize the alert message and notification method. Click "Create". V. Available Alerts You can set up alerts for the following conditions (selected in the Alert Settings section of the indicator): RSI Crosses Up: When RSI crosses above the input level . RSI Crosses Down: When RSI crosses below the input level . RSI Less Than: When RSI value is less than the input level . RSI Greater Than: When RSI value is greater than the input level . RSI Crosses Up 2 MAs: When RSI crosses above both of its Moving Averages . RSI Crosses Down 2 MAs: When RSI crosses below both of its Moving Averages . VI. Notes / Disclaimer Use of request.security: This indicator utilizes the request.security function to fetch multi-symbol/multi-timeframe data. This is necessary for screener functionality, but be aware that data from request.security can sometimes exhibit minor delays or slight "repainting" behaviour under certain market conditions (especially on lower timeframes or as new data arrives). Performance: Scanning numerous symbols and timeframes can consume computer resources and TradingView limitations. Please select only the necessary symbols and timeframes to ensure optimal performance. Not Financial Advice: This indicator is an analysis tool and does not constitute investment advice. Always conduct your own research, combine multiple analysis methods, and practice careful risk management before making trading decisions.
Chỉ báo Pine Script®
bởi DucTri_dev
TP SyncerTake Profit Multi-Timeframe 📈 This indicator is designed to provide efficient risk management with an integrated take-profit system . It allows users to set take-profit levels in two ways: as a percentage of the entry price or based on resistance levels on higher timeframes – or even a combination of both🔄. The strategy uses the Wave Trend Indicator as a reference to identify optimal entry points and potential profit targets 🎯. With a multi-timeframe approach, the take-profit targets can be adjusted across different timeframes for more accurate and informed trading decisions. Ideal for traders seeking to fine-tune risk management strategies and adjust take-profit levels flexibly, this tool helps manage trades effectively while maximizing potential profits💰.
Chiến lược Pine Script®
bởi Atiloan
sRSI + MACD + VOLAbout sRSI + MACD + VOL The "sRSI + MACD + VOL" is a powerful 3-in-1 indicator that combines Stochastic RSI, MACD, and Volume into a single, comprehensive tool, perfect for traders looking to maximize their analysis within one chart panel. This indicator is ideal for users with Free or Essential TradingView accounts who have limited allowance for indicators, providing a space-efficient way to monitor momentum, trend, and volume dynamics simultaneously. Features: Stochastic RSI: Scaled to range, showing overbought/oversold conditions with K (blue) and D (orange) lines for clear momentum signals. MACD: Includes MACD line (blue), Signal line (orange), and a color-coded histogram. The histogram displays momentum strength with: Dark Green (#26A69A) for increasing positive momentum Light Green (#B2DFDB) for fading positive momentum Light Red (#FFCDD2) for increasing negative momentum (toward zero) Dark Red (#FF5252) for fading negative momentum Volume: Normalized bars scaled to , colored green for increasing volume and red for decreasing volume, highlighting market participation trends. Combined Indicator: A white line averaging the scaled values of MACD histogram, Stochastic RSI K, and Volume, offering a unified trend overview. Why Use This Indicator? Saves chart space by integrating three essential indicators Provides a multi-faceted view of price action, momentum, and volume Customizable inputs for fine-tuning to your trading style Perfect for confirming entries, exits, and trend strength in one glance Designed for simplicity and efficiency, "sRSI + MACD + VOL" is your all-in-one solution for technical analysis, especially when indicator slots are limited. Add it to your chart and streamline your trading strategy today!
Chỉ báo Pine Script®
bởi jedxda
Azii TrendAzii Trend is a precision-built indicator designed to give traders a clear, real-time snapshot of market bias using multi-timeframe moving averages. It reads the 30-minute and 1-hour chart to determine trend direction based on: 📘 SMA (Simple Moving Average) ⚡️ EMA (Exponential Moving Average) Each timeframe outputs a BULL or BEAR signal, and a confluence check below summarizes the overall market condition as: ✅ STRONG BULL ❌ STRONG BEAR 🔶 MIXED TREND Everything is neatly displayed in a fixed, non-movable box at the top-right of your chart for quick, clutter-free decision-making. ✅ Best for: Intraday and swing traders Trend confirmation Confluence tracking between timeframes
Chỉ báo Pine Script®
bởi abdulazizalfailkawy23
NY First Candle Break and RetestStrategy Overview Session and Time Parameters: The strategy focuses on the New York trading session, starting at 9:30 AM and lasting for a predefined session length, typically 3 to 4 hours. This timing captures the most active market hours, providing ample trading opportunities. Strategy Parameters: Utilizes the Average True Range (ATR) to set dynamic stop-loss levels, ensuring risk is managed according to market volatility. Employs a reward-to-risk ratio to determine take profit levels, aiming for a balanced approach between potential gains and losses. Strategy Settings: Incorporates simple moving averages (EMA) and the Volume Weighted Average Price (VWAP) to identify trend direction and price levels. Volume confirmation is used to validate breakouts, ensuring trades are based on significant market activity. Trade Management: Features a trailing stop mechanism to lock in profits as the trade moves in favor, with multiple take profit levels to secure gains incrementally. The strategy is designed to handle both long and short positions, adapting to market conditions. Alert Settings: Provides alerts for key events such as session start, breakout, retest, and entry signals, helping traders stay informed and act promptly. Visual cues on the chart highlight entry and exit points, making it easier for beginners to follow the strategy. This strategy is particularly suited for the current volatile market environment, where simplicity and clear guidelines can help beginner traders navigate the complexities of trading. It emphasizes risk management and uses straightforward indicators to make informed trading decisions. I put together this Trading View scalping strategy for futures markets with some help from Claude AI. Shoutout to everyone who gave me advice along the way—I really appreciate it! I’m sure there’s room for improvement, so feel free to share your thoughts… just go easy on me. :)
Chiến lược Pine Script®
bởi PrincessQuinn
EMA-Based Squeeze Dynamics (Gap Momentum & EWMA Projection)EMA-Based Squeeze Dynamics (Gap Momentum & EWMA Projection) 🚨 Main Utility: Early Squeeze Warning The primary function of this indicator is to warn traders early when the market is approaching a "squeeze"—a tightening condition that often precedes significant moves or regime shifts. By visually highlighting areas of increasing tension, it helps traders anticipate potential volatility and prepare accordingly. This is intended to be a statistically and psychologically grounded replacement of so-called "fib-time-zones," which are overly-deterministic and subjective. 📌 Overview The EMA-Based Squeeze Dynamics indicator projects future regime shifts (such as golden and death crosses) using exponential moving averages (EMAs). It employs historical interval data and current market conditions to dynamically forecast when the critical EMAs (50-period and 200-period) will reconverge, marking likely trend-change points. This indicator leverages two core ideas: Behavioral finance theory: Traders often collectively anticipate popular EMA crossovers, creating a self-fulfilling prophecy (normative social influence), similar to findings from Solomon Asch’s conformity experiments. Bayesian-like updates: It utilizes historical crossover intervals as a prior, dynamically updating expectations based on evolving market data, ensuring its signals remain objectively grounded in actual market behavior. ⚙️ Technical & Mathematical Explanation 1. EMA Calculations and Regime Definitions The indicator uses three EMAs: Fast (9-period): Represents short-term price movement. Medial (50-period): Indicates medium-term trend direction. Slow (200-period): Defines long-term market sentiment. Regime States: Bullish: 50 EMA is above the 200 EMA. Bearish: 50 EMA is below the 200 EMA. A shift between these states triggers visual markers (arrows and labels) directly on the chart. 2. Gap Dynamics and Historical Intervals At each crossover: The indicator records the gap (distance) between the 50 and 200 EMAs. It tracks the historical intervals between past crossovers. An Exponentially Weighted Moving Average (EWMA) of these intervals is calculated, weighting recent intervals more heavily, dynamically updating expectations. Important note: After every regime shift, the projected crossover line resets its calculation. This reset is visually evident as the projection line appears to move further away after each regime change, temporarily "repelled" until the EMAs begin converging again. This ensures projections remain realistic, grounded in actual EMA convergence, and prevents overly optimistic forecasts immediately after a regime shift. 3. Gap Momentum & Adaptive Scaling The indicator measures how quickly or slowly the gap between EMAs is changing ("gap momentum") and adjusts its forecast accordingly: If the gap narrows rapidly, a crossover becomes more imminent. If the gap widens, the next crossover is pushed further into the future. The "gap factor" dynamically scales the projection based on recent gap momentum, bounded between reasonable limits (0.7–1.3). 4. Squeeze Ratio & Background Color (Visual Cues) A "squeeze ratio" is computed when market conditions indicate tightening: In a bullish regime, if the fast EMA is below the medial EMA (price pulling back towards long-term support), the squeeze ratio increases. In a bearish regime, if the fast EMA rises above the medial EMA (price rallying into long-term resistance), the squeeze ratio increases. What the Background Colors Mean: Red Background: Indicates a bullish squeeze—price is compressing downward, hinting a bullish reversal or continuation breakout may occur soon. Green Background: Indicates a bearish squeeze—price is compressing upward, suggesting a bearish reversal or continuation breakout could soon follow. Opacity Explanation: The transparency (opacity) of the background indicates the intensity of the squeeze: High Opacity (solid color): Strong squeeze, high likelihood of imminent volatility or regime shift. Low Opacity (faint color): Mild squeeze, signaling early stages of tightening. Thus, more vivid colors serve as urgent visual warnings that a squeeze is rapidly intensifying. 5. Projected Next Crossover and Pseudo Crossover Mechanism The indicator calculates an estimated future bar when a crossover (and thus, regime shift) is expected to occur. This calculation incorporates: Historical EWMA interval. Current squeeze intensity. Gap momentum. A dynamic penalty based on divergence from baseline conditions. The "Pseudo Crossover" Explained: A key adaptive feature is the pseudo crossover mechanism. If price action significantly deviates from the projected crossover (for example, if price stays beyond the projected line longer than expected), the indicator acknowledges the projection was incorrect and triggers a "pseudo crossover" event. Essentially, this acts as a reset, updating historical intervals with a weighted adjustment to recalibrate future predictions. In other words, if the indicator’s initial forecast proves inaccurate, it recognizes this quickly, resets itself, and tries again—ensuring it remains responsive and adaptive to actual market conditions. 🧠 Behavioral Theory: Normative Social Influence This indicator is rooted in behavioral finance theory, specifically leveraging normative social influence (conformity). Traders commonly watch EMA signals (especially the 50 and 200 EMA crossovers). When traders collectively anticipate these signals, they begin trading ahead of actual crossovers, effectively creating self-fulfilling prophecies—similar to Solomon Asch’s famous conformity experiments, where individuals adopted group behaviors even against direct evidence. This behavior means genuine regime shifts (actual EMA crossovers) rarely occur until EMAs visibly reconverge due to widespread anticipatory trading activity. The indicator quantifies these dynamics by objectively measuring EMA convergence and updating projections accordingly. 📊 How to Use This Indicator Monitor the background color and opacity as primary visual cues. A strongly colored background (solid red/green) is an early alert that a squeeze is intensifying—prepare for potential volatility or a regime shift. Projected crossover lines give a dynamic target bar to watch for trend reversals or confirmations. After each regime shift, expect a reset of the projection line. The line may seem initially repelled from price action, but it will recalibrate as EMAs converge again. Trust the pseudo crossover mechanism to automatically recalibrate the indicator if its original projection misses. 🎯 Why Choose This Indicator? Early Warning: Visual squeeze intensity helps anticipate market breakouts. Behaviorally Grounded: Leverages real trader psychology (conformity and anticipation). Objective & Adaptive: Uses real-time, data-driven updates rather than static levels or subjective analysis. Easy to Interpret: Clear visual signals (arrows, labels, colors) simplify trading decisions. Self-correcting (Pseudo Crossovers): Quickly adjusts when initial predictions miss, maintaining accuracy over time. Summary: The EMA-Based Squeeze Dynamics Indicator combines behavioral insights, dynamic Bayesian-like updates, intuitive visual cues, and a self-correcting pseudo crossover feature to offer traders a reliable early warning system for market squeezes and impending regime shifts. It transparently recalibrates after each regime shift and automatically resets whenever projections prove inaccurate—ensuring you always have an adaptive, realistic forecast. Whether you're a discretionary trader or algorithmic strategist, this indicator provides a powerful tool to navigate market volatility effectively. Happy Trading! 📈✨
Chỉ báo Pine Script®
bởi garysebastianbrowniii
Half Causal EstimatorOverview The Half Causal Estimator is a specialized filtering method that provides responsive averages of market variables (volume, true range, or price change) with significantly reduced time delay compared to traditional moving averages. It employs a hybrid approach that leverages both historical data and time-of-day patterns to create a timely representation of market activity while maintaining smooth output. Core Concept Traditional moving averages suffer from time lag, which can delay signals and reduce their effectiveness for real-time decision making. The Half Causal Estimator addresses this limitation by using a non-causal filtering method that incorporates recent historical data (the causal component) alongside expected future behavior based on time-of-day patterns (the non-causal component). This dual approach allows the filter to respond more quickly to changing market conditions while maintaining smoothness. The name "Half Causal" refers to this hybrid methodology—half of the data window comes from actual historical observations, while the other half is derived from time-of-day patterns observed over multiple days. By incorporating these "future" values from past patterns, the estimator can reduce the inherent lag present in traditional moving averages. How It Works The indicator operates through several coordinated steps. First, it stores and organizes market data by specific times of day (minutes/hours). Then it builds a profile of typical behavior for each time period. For calculations, it creates a filtering window where half consists of recent actual data and half consists of expected future values based on historical time-of-day patterns. Finally, it applies a kernel-based smoothing function to weight the values in this composite window. This approach is particularly effective because market variables like volume, true range, and price changes tend to follow recognizable intraday patterns (they are positive values without DC components). By leveraging these patterns, the indicator doesn't try to predict future values in the traditional sense, but rather incorporates the average historical behavior at those future times into the current estimate. The benefit of using this "average future data" approach is that it counteracts the lag inherent in traditional moving averages. In a standard moving average, recent price action is underweighted because older data points hold equal influence. By incorporating time-of-day averages for future periods, the Half Causal Estimator essentially shifts the center of the filter window closer to the current bar, resulting in more timely outputs while maintaining smoothing benefits. Understanding Kernel Smoothing At the heart of the Half Causal Estimator is kernel smoothing, a statistical technique that creates weighted averages where points closer to the center receive higher weights. This approach offers several advantages over simple moving averages. Unlike simple moving averages that weight all points equally, kernel smoothing applies a mathematically defined weight distribution. The weighting function helps minimize the impact of outliers and random fluctuations. Additionally, by adjusting the kernel width parameter, users can fine-tune the balance between responsiveness and smoothness. The indicator supports three kernel types. The Gaussian kernel uses a bell-shaped distribution that weights central points heavily while still considering distant points. The Epanechnikov kernel employs a parabolic function that provides efficient noise reduction with a finite support range. The Triangular kernel applies a linear weighting that decreases uniformly from center to edges. These kernel functions provide the mathematical foundation for how the filter processes the combined window of past and "future" data points. Applicable Data Sources The indicator can be applied to three different data sources: volume (the trading volume of the security), true range (expressed as a percentage, measuring volatility), and change (the absolute percentage change from one closing price to the next). Each of these variables shares the characteristic of being consistently positive and exhibiting cyclical intraday patterns, making them ideal candidates for this filtering approach. Practical Applications The Half Causal Estimator excels in scenarios where timely information is crucial. It helps in identifying volume climaxes or diminishing volume trends earlier than conventional indicators. It can detect changes in volatility patterns with reduced lag. The indicator is also useful for recognizing shifts in price momentum before they become obvious in price action, and providing smoother data for algorithmic trading systems that require reduced noise without sacrificing timeliness. When volatility or volume spikes occur, conventional moving averages typically lag behind, potentially causing missed opportunities or delayed responses. The Half Causal Estimator produces signals that align more closely with actual market turns. Technical Implementation The implementation of the Half Causal Estimator involves several technical components working together. Data collection and organization is the first step—the indicator maintains a data structure that organizes market data by specific times of day. This creates a historical record of how volume, true range, or price change typically behaves at each minute/hour of the trading day. For each calculation, the indicator constructs a composite window consisting of recent actual data points from the current session (the causal half) and historical averages for upcoming time periods from previous sessions (the non-causal half). The selected kernel function is then applied to this composite window, creating a weighted average where points closer to the center receive higher weights according to the mathematical properties of the chosen kernel. Finally, the kernel weights are normalized to ensure the output maintains proper scaling regardless of the kernel type or width parameter. This framework enables the indicator to leverage the predictable time-of-day components in market data without trying to predict specific future values. Instead, it uses average historical patterns to reduce lag while maintaining the statistical benefits of smoothing techniques. Configuration Options The indicator provides several customization options. The data period setting determines the number of days of observations to store (0 uses all available data). Filter length controls the number of historical data points for the filter (total window size is length × 2 - 1). Filter width adjusts the width of the kernel function. Users can also select between Gaussian, Epanechnikov, and Triangular kernel functions, and customize visual settings such as colors and line width. These parameters allow for fine-tuning the balance between responsiveness and smoothness based on individual trading preferences and the specific characteristics of the traded instrument. Limitations The indicator requires minute-based intraday timeframes, securities with volume data (when using volume as the source), and sufficient historical data to establish time-of-day patterns. Conclusion The Half Causal Estimator represents an innovative approach to technical analysis that addresses one of the fundamental limitations of traditional indicators: time lag. By incorporating time-of-day patterns into its calculations, it provides a more timely representation of market variables while maintaining the noise-reduction benefits of smoothing. This makes it a valuable tool for traders who need to make decisions based on real-time information about volume, volatility, or price changes.
Chỉ báo Pine Script®
bởi The_Peaceful_Lizard
6
ATLAS Reversion Bands v2 [EMA % Spread]🧠 About the ATLAS Reversion Bands v2 I created this indicator to answer a simple question: "When is price extended too far from trend, and likely to revert?" The ATLAS Reversion Bands measure the percentage spread between a fast and slow EMA (default 25/200) and track how far that spread moves from its historical average using z-score and standard deviation bands—essentially building a Bollinger Band system on top of EMA distance. Instead of relying on traditional oscillators like RSI or MACD, this tool is purely math-driven and tailored for spotting overextensions across any asset. 🔍 What It Does Tracks the normalized spread between EMA 25 and EMA 200 Highlights statistically rare zones using ±2 and ±3 standard deviation bands Plots BUY/SELL triangle markers only on first entry into extreme zones Helps identify mean reversion opportunities (deep pullbacks or FOMO tops) 📈 How to Use It Wait for the spread to hit or exceed ±2.5 or ±3 standard deviations Look for confirmation via price structure, candles, or volume Best used on spot or perp markets with healthy liquidity Ideal for swing trading or narrative-based rotational setups 🕐 Recommended Timeframes 1H, 4H, and 1D are optimal Use MTF mode to apply daily logic on lower timeframes (e.g., see 1D exhaustion while trading 4H) Works across: ✅ BTC, ETH, Majors ✅ Meme coins (better on 1H/4H) ✅ Market indexes (TOTAL2, BTC.D, etc.) 📌 Pro Tips Raise the Z-score alert threshold for stricter signals (e.g., 3.0 for only the wildest extensions) Use with other confluence tools (like S/R, candles, or RSI) Not designed for chasing trends — this is a fade-the-hype, buy-the-blood kind of tool
Chỉ báo Pine Script®
bởi atlastrading_
Dskyz Adaptive Futures Elite (DAFE)Dskyz Adaptive Futures Edge (DAFE) imgur.com A Dynamic Futures Trading Strategy DAFE adapts to market volatility and price action using technical indicators and advanced risk management. It’s built for high-stakes futures trading (e.g., MNQ, BTCUSDT.P), offering modular logic for scalpers and swing traders alike. Key Features Adaptive Moving Averages Dynamic Logic: Fast and slow SMAs adjust lengths via ATR, reacting to momentum shifts and smoothing in calm markets. Signals: Long entry on fast SMA crossing above slow SMA with price confirmation; short on cross below. RSI Filtering (Optional) Momentum Check: Confirms entries with RSI crossovers (e.g., above oversold for longs). Toggle on/off with custom levels. Fine-Tuning: Adjustable lookback and thresholds (e.g., 60/40) for precision. Candlestick Pattern Recognition Eng|Enhanced Detection: Identifies strong bullish/bearish engulfing patterns, validated by volume and range strength (vs. 10-period SMA). Conflict Avoidance: Skips trades if both patterns appear in the lookback window, reducing whipsaws. Multi-Timeframe Trend Filter 15-Minute Alignment: Syncs intrabar trades with 15-minute SMA trends; optional for flexibility. Dollar-Cost Averaging (DCA) New! Scaling: Adds up to a set number of entries (e.g., 4) on pullbacks/rallies, spaced by ATR multiples. Control: Caps exposure and resets on exit, enhancing trend-following potential. Trade Execution & Risk Management Entry Rules: Prioritizes moving averages or patterns (user choice), with volume, volatility, and time filters. Stops & Trails: Initial Stop: ATR-based (2–3.5x, volatility-adjusted). Trailing Stop: Locks profits with configurable ATR offset and multiplier. Discipline Cooldown: Pauses post-exit (e.g., 0–5 minutes). Min Hold: Ensures trades last a set number of bars (e.g., 2–10). Visualization & Tools Charts: Overlays MAs, stops, and signals; trend shaded in background. Dashboard: Shows position, P&L, win rate, and more in real-time. Debugging: Logs signal details for optimization. Input Parameters Parameter Purpose Suggested Use Use RSI Filter - Toggle RSI confirmation *Disable 4 price-only trading RSI Length - RSI period (e.g., 14) *7–14 for sensitivity RSI Overbought/Oversold - Adjust for market type *Set levels (e.g., 60/40) Use Candlestick Patterns - Enables engulfing signals *Disable for MA focus Pattern Lookback - Pattern window (e.g., 19) *10–20 bars for balance Use 15m Trend Filter - Align with 15-min trend *Enable for trend trades Fast/Slow MA Length - Base MA lengths (e.g., 9/19) *10–25 / 30–60 per timeframe Volatility Threshold - Filters volatile spikes *Max ATR/close (e.g., 1%) Min Volume - Entry volume threshold *Avoid illiquid periods (e.g., 10) ATR Length - ATR period (e.g., 14) *Standard volatility measure Trailing Stop ATR Offset - Trail distance (e.g., 0.5) *0.5–1.5 for tightness Trailing Stop ATR Multi - Trail multiplier (e.g., 1.0) *1–3 for trend room Cooldown Minutes - Post-exit pause (e.g., 0–5) *Prevents overtrading Min Bars to Hold - Min trade duration (e.g., 2) *5–10 for intraday Trading Hours - Active window (e.g., 9–16) *Focus on key sessions Use DCA - Toggle DCA *Enable for scaling Max DCA Entries - Cap entries (e.g., 4) *Limit risk exposure DCA ATR Multiplier Entry spacing (e.g., 1.0) *1–2 for wider gaps Compliance Realistic Testing: Fixed quantities, capital, and slippage for accurate backtests. Transparency: All logic is user-visible and adjustable. Risk Controls: Cooldowns, stops, and hold periods ensure stability. Flexibility: Adapts to various futures and timeframes. Summary DAFE excels in volatile futures markets with adaptive logic, DCA scaling, and robust risk tools. Currently in prop account testing, it’s a powerful framework for precision trading. Caution DAFE is experimental, not a profit guarantee. Futures trading risks significant losses due to leverage. Backtest, simulate, and monitor actively before live use. All trading decisions are your responsibility.
Chiến lược Pine Script®
bởi DskyzInvestments
9