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指标和策略

Apex Wallet - Ultimate Trading Suite: All-In-One Overlay & SignaOverview The Apex Wallet All-In-One is a comprehensive professional trading toolkit designed to centralize every essential technical analysis tool directly onto your main price chart. Instead of cluttering your workspace with dozens of separate indicators, this script integrates trend analysis, volatility bands, automated chart patterns, and a multi-indicator signal engine into a single, cohesive interface. Key Modular Features: Trend Core: Features dynamic trend curves, cloud fills for momentum visualization, and a multi-timeframe dashboard (1m to 4h) to ensure you are always trading with the higher-timeframe bias. Automated Chart Structures: Automatically detects and plots Support/Resistance levels, Standard Pivot Points, Market Gaps, and Fair Value Gaps (Imbalances). Volatility & Volume: Includes professional-grade VWAP with standard deviation bands, Bollinger Bands, and a built-in Volume Delta (Raw/Net) tracker. Signal Engine: A powerful cross-logic system that generates entry signals based on RSI (QQE), MACD (Zero-cross & Relance), Stochastic, TDI, and the Andean Oscillator. Predictive Projections: A unique feature that projects current indicator slopes into future candles to help anticipate potential trend continuations or reversals. Adaptability The script includes three core presets—Scalping, Day-Trading, and Swing-Trading—which automatically adjust all internal periods (Moving Averages, Bollinger, RSI, etc.) to match your specific market speed. Visual Cleanliness Every feature is toggleable. You can display a "clean" chart with just the Trend Cloud or a "complete" workstation with signals, patterns (Doji, Engulfing), and pivot levels
Pine Script®指标
由Apex-Wallet提供
Apex Wallet - Ultimate Multi-Oscillator (9-in-1) & Market TrendThe Apex Wallet Multi-Oscillator is a powerful "All-in-One" technical analysis tool designed to clean up your charts by combining nine of the most effective momentum and trend indicators into a single workspace. This script is engineered to adapt to different trading styles—Scalping, Day-Trading, or Swing-Trading—with a single click. +4 Whether you are looking for trend exhaustion, momentum shifts, or volatility breakouts, this indicator provides a clear, visual summary of market dynamics. +1 Key Features 9 Indicators in 1: Access RSI, Stochastic, StochRSI, MACD, Zero-Lag MACD, Andean Oscillator, and the Traders Dynamic Index (TDI). +1 Smart Layout Modes: Raw (Brut): Classic view with original values. +1 Stacked (Empilé): Organizes indicators into fixed vertical zones to prevent overlapping. +1 Proportional Stacking: Automatically calculates and adjusts the height of blocks based on active oscillators. +2 Trading Presets: Switch between Scalping, Day-Trading, and Swing-Trading modes. The script automatically adjusts periods and lengths (e.g., RSI 7 for Scalping vs. 21 for Swing) to match the market speed. +3 Included Oscillators Stochastic & RSI: Standard momentum tools with color-coded signals. Traders Dynamic Index (TDI): A full suite including the RSI Price Line, Signal Line, and Market Base Line with optional Bollinger Bandwidth columns. +1 MACD & Zero-Lag MACD: Includes histogram fills and trend-colored lines for faster reaction to price movement. +2 Andean Oscillator: An advanced tool to identify Bull/Bear dominance and market "Range" or "Reversal" states. Visual Signals & Alerts Market Trend: Optional visual coloring based on indicator crosses to quickly spot bullish or bearish momentum. +3 Customizable UI: High-fidelity rendering with dashed levels and proportional fills for a professional, clean interface. +1 Integrated Alerts: Pre-configured alerts for Andean Oscillator trend changes (Bullish, Bearish, or Reversal). How to use Select your Trading Mode in the settings based on your timeframe. Toggle the indicators you want to see. Use the Stacked mode if you want to keep your sub-window organized without lines crossing each other.
Pine Script®指标
由Apex-Wallet提供
Sebastine All in One Indicator Sebastine All in One Indicator Introduction Markets speak in many dialects. Sometimes they whisper through volume, sometimes they shout via momentum, at times they breathe through volatility, and occasionally they leave footprints in OBV, PVT, RSI, or TSI. Most traders respond by stacking indicator after indicator—until the chart resembles a tangled fishing net. This indicator was built to untangle that net. Instead of plotting multiple indicators simultaneously, this tool lets you focus on one dimension of market behavior at a time, while preserving structure through a Darvas-style box framework. The box logic used here is inspired by Darvas-style structural bounding, applied to non-price data such as volume, momentum, and volatility. 🔍 What This Indicator Does • Combines Volume, OBV, PVT, RSI, Momentum, Volatility, TSI, and Supertrend • Displays only one selected data stream at a time, reducing noise • Wraps the selected indicator inside a dynamic Darvas-style box • Highlights: o Breakouts & breakdowns o Compression (energy build-up) o Structural shifts o Momentum inflections o Mean-reversion zones Think of it as one lens, many filters—you rotate the lens, not clutter the chart. 🧠 How to Use It (Practical Insight) • Volume / OBV / PVT → Institutional intent & accumulation/distribution • Momentum / RSI / TSI → Strength, exhaustion, and early reversals • Volatility → Expansion after contraction (the market’s deep breath) • Supertrend (as data source) → Trend structure without price bias The Darvas-style box adds context: • Narrow boxes = stored energy • Box expansion = energy release • Source touching box edges = reaction zones • Zero-line crossings = regime shifts (where applicable) • 🎯 Who Is This For? • Traders who want clarity over clutter • Discretionary traders who adapt tools to market phase • System builders seeking structure with flexibility • Anyone who believes less noise = more signal 📝 Points to Note (Important for Proper Interpretation) 1. Color Coding & Structure • The upper box line (green) represents the upper structural boundary • The lower box line (red) represents the lower structural boundary • The white step-line represents the selected source indicator (e.g., PVT, RSI, Momentum) 2. Pane Scaling & Visibility (Very Important) • This indicator is designed for use in the bottom pane • Different sources have very different numerical ranges: o RSI is bounded between 0 and 100 o PVT, OBV, and Volume can have large absolute values • Users should manually drag and scale the indicator vertically for optimal visibility • This is intentional and preserves the raw integrity of each data source rather than force-normalizing it 3. Histogram for Comparative Insight • A histogram of the selected source is included for quick visual comparison • Helps identify expansion, contraction, acceleration, and divergence, especially during compression phases inside the box 📌 Recommended Usage (Clarity Over Clutter) Although multiple sources are available, it is strongly recommended to use one chart with one selected source at a time for best clarity and analytical depth. For first-time users, PVT (Price Volume Trend) is an ideal starting point. It blends price movement and volume flow into a single continuous narrative and often reveals institutional participation earlier than price alone. PVT works especially well within the Darvas-style box framework. Once comfortable, users may switch to RSI, Momentum, Volatility, OBV, or other sources—but always one at a time. This preserves the philosophy of focused observation rather than indicator overload.   🌱 Philosophy Behind the Tool This indicator rewards patience and observation.Give it space. It will quietly show when the market is gathering energy—and when it is ready to move. Markets don’t change indicators. We change how we listen. This indicator doesn’t predict. It reveals. Think of it not as a dashboard, but as a rotating telescope—you change lenses, not skies.
Pine Script®指标
由sebastinecc提供
Dhan_libLibrary "Dhan_lib" Overview Dhan_lib is a Pine Script v6 library designed to help traders automate trading orders via TradingView alerts and webhook integration with the Dhan broker API. This library generates JSON-formatted alert messages for the following instruments. Equity (Intraday and Delivery) Options (CE and PE Buy and Sell) Futures (Buy and Sell) These alert strings can be directly used inside TradingView alerts to place live orders through an external webhook setup. 🔹 Supported Instruments Equity Intraday Buy and Sell Delivery Buy and Sell Options Call (CE) Buy and Sell Put (PE) Buy and Sell ATM, ITM, and OTM strike selection Intraday and Carry Forward Futures Buy and Sell Intraday and Carry Forward 🔹 Key Features ✅ Pine Script v6 compatible ✅ Clean and reusable library functions ✅ Automatic ATM, ITM, and OTM strike calculation ✅ Expiry date handled via string format YYYY-MM-DD ✅ Fully webhook-ready JSON alert structure ✅ Supports multi-leg order format ✅ Designed for TradingView to Dhan automation 🔹 How to Use Import the library in your strategy or indicator. import Shivam_Mandrai/Dhan_lib/1 Call the required function. order_msg = buy_CE_option("YOUR_SECRET_KEY", "NIFTY", 1) Use the returned string as the alert message. alert(order_msg, alert.freq_once_per_bar) Connect TradingView alerts to your Dhan webhook receiver. --- 🔹 Important Notes Strike prices are calculated dynamically based on the current chart price (close). Futures symbols use TradingView continuous contract format such as NIFTY1!. Quantity refers to the number of lots, not the lot size. Expiry date must be provided in YYYY-MM-DD format. ⚠️ DISCLAIMER (PLEASE READ CAREFULLY) This library is provided strictly for educational and automation purposes only. I am not a SEBI-registered advisor. I do not guarantee any profit or accuracy of orders. I am not responsible for any financial loss, missed trades, execution errors, or broker-side issues. Trading in stocks, options, and futures involves significant risk. Automated trading can fail due to internet issues, broker API downtime, incorrect webhook configuration, slippage, or market volatility. 👉 Use this library entirely at your own risk. 👉 Always test thoroughly using paper trading or simulation before deploying with real capital. If you want, I can also: * Shrink this further for TradingView character limits * Convert it into a single-paragraph version * Localize it for Indian retail traders buy_stock_intraday(secret_key, symbol, qty, exchange)   to buy the stock Intraday   Parameters:      secret_key (string) : string Secret Key of the Dhan Account eg-> "S1HgS".      symbol (string) : string Stock symbol eg-> "TATASTEEL".      qty (int) : int quantity for the order eg-> 1.      exchange (string) : string Trading Exchange eg-> "NSE".   Returns: order string. sell_stock_intraday(secret_key, symbol, qty, exchange)   to sell the stock Intraday   Parameters:      secret_key (string) : string Secret Key of the Dhan Account eg-> "S1HgS".      symbol (string) : string Stock symbol eg-> "TATASTEEL".      qty (int) : int quantity for the order eg-> 1.      exchange (string) : string Trading Exchange eg-> "NSE".   Returns: order string. buy_stock_delivery(secret_key, symbol, qty, exchange)   to buy the stock delivery   Parameters:      secret_key (string) : string Secret Key of the Dhan Account eg-> "S1HgS".      symbol (string) : string Stock symbol eg-> "TATASTEEL".      qty (int) : int quantity for the order eg-> 1.      exchange (string) : string Trading Exchange eg-> "NSE".   Returns: order string. sell_stock_delivery(secret_key, symbol, qty, exchange)   to sell the stock delivery   Parameters:      secret_key (string) : string Secret Key of the Dhan Account eg-> "S1HgS".      symbol (string) : string Stock symbol eg-> "TATASTEEL".      qty (int) : int quantity for the order eg-> 1.      exchange (string) : string Trading Exchange eg-> "NSE".   Returns: order string. buy_CE_option(secret_key, symbol, lots, expiry_date, intraday, strike_price_base, ITM_points, OTM_points, exchange)   to buy CE option   Parameters:      secret_key (string) : string Secret Key of the Dhan Account eg-> "S1HgS".      symbol (string) : string Index / Stock symbol eg-> "NIFTY", "BANKNIFTY".      lots (int) : int Number of lots eg-> 1.      expiry_date (string) : string Option expiry date in YYYY-MM-DD format eg-> "2026-01-20".      intraday (bool) : bool Set true for intraday order, set false for delivery order eg-> true.      strike_price_base (float) : float Strike price step size eg-> 50, 100 (default is 100).      ITM_points (float) : float Points below CMP to select ITM strike eg-> 100 (default is 0).      OTM_points (float) : float Points above CMP to select OTM strike eg-> 100 (default is 0).      exchange (string) : string Trading Exchange eg-> "NSE" (default is NSE).   Returns: order string. buy_PE_option(secret_key, symbol, lots, expiry_date, intraday, strike_price_base, ITM_points, OTM_points, exchange)   to buy PE option   Parameters:      secret_key (string) : string Secret Key of the Dhan Account eg-> "S1HgS".      symbol (string) : string Index / Stock symbol eg-> "NIFTY", "BANKNIFTY".      lots (int) : int Number of lots eg-> 1.      expiry_date (string) : string Option expiry date in YYYY-MM-DD format eg-> "2026-01-20".      intraday (bool) : bool Set true for intraday order, set false for delivery order eg-> true.      strike_price_base (float) : float Strike price step size eg-> 50, 100 (default is 100).      ITM_points (float) : float Points below CMP to select ITM strike eg-> 100 (default is 0).      OTM_points (float) : float Points above CMP to select OTM strike eg-> 100 (default is 0).      exchange (string) : string Trading Exchange eg-> "NSE" (default is NSE).   Returns: order string. sell_CE_option(secret_key, symbol, lots, expiry_date, intraday, strike_price_base, ITM_points, OTM_points, exchange)   to Sell CE option   Parameters:      secret_key (string) : string Secret Key of the Dhan Account eg-> "S1HgS".      symbol (string) : string Index / Stock symbol eg-> "NIFTY", "BANKNIFTY".      lots (int) : int Number of lots eg-> 1.      expiry_date (string) : string Option expiry date in YYYY-MM-DD format eg-> "2026-01-20".      intraday (bool) : bool Set true for intraday order, set false for delivery order eg-> true.      strike_price_base (float) : float Strike price step size eg-> 50, 100 (default is 100).      ITM_points (float) : float Points below CMP to select ITM strike eg-> 100 (default is 0).      OTM_points (float) : float Points above CMP to select OTM strike eg-> 100 (default is 0).      exchange (string) : string Trading Exchange eg-> "NSE" (default is NSE).   Returns: order string. sell_PE_option(secret_key, symbol, lots, expiry_date, intraday, strike_price_base, ITM_points, OTM_points, exchange)   to sell PE option   Parameters:      secret_key (string) : string Secret Key of the Dhan Account eg-> "S1HgS".      symbol (string) : string Index / Stock symbol eg-> "NIFTY", "BANKNIFTY".      lots (int) : int Number of lots eg-> 1.      expiry_date (string) : string Option expiry date in YYYY-MM-DD format eg-> "2026-01-20".      intraday (bool) : bool Set true for intraday order, set false for delivery order eg-> true.      strike_price_base (float) : float Strike price step size eg-> 50, 100 (default is 100).      ITM_points (float) : float Points below CMP to select ITM strike eg-> 100 (default is 0).      OTM_points (float) : float Points above CMP to select OTM strike eg-> 100 (default is 0).      exchange (string) : string Trading Exchange eg-> "NSE" (default is NSE).   Returns: order string. buy_future(secret_key, symbol, lot, intraday, exchange)   to buy the Future   Parameters:      secret_key (string) : string Secret Key of the Dhan Account eg-> "S1HgS".      symbol (string) : string Stock symbol eg-> "NIFTY".      lot (int) : int quantity for the order eg-> 1.      intraday (bool) : bool Set true for intraday order, set false for delivery order eg-> true.      exchange (string) : string Trading Exchange eg-> "NSE".   Returns: order string. sell_future(secret_key, symbol, lot, intraday, exchange)   to sell the Future   Parameters:      secret_key (string) : string Secret Key of the Dhan Account eg-> "S1HgS".      symbol (string) : string Stock symbol eg-> "NIFTY".      lot (int) : int quantity for the order eg-> 1.      intraday (bool) : bool Set true for intraday order, set false for delivery order eg-> true.      exchange (string) : string Trading Exchange eg-> "NSE".   Returns: order string.
Pine Script®库
由Shivam_Mandrai提供
6
Liquidity Trap Strategy - ATR OptimizedLiquidity Trap Strategy – Optimized Version 1. Overview The Liquidity Trap Strategy is a high-probability price action trading system designed to exploit “trapped buyers or sellers” around key levels from the previous trading day. Markets: Works on any market (Forex, Crypto, Futures, Indices, Stocks) Timeframes: Designed for 15-minute (15m) and 1-hour (1H) charts Trading Style: “Hunter” style — trades may not happen every day, but setups are high-probability Trade Frequency: Only first trade per day is taken for simplicity and high quality 2. Key Components a) Daily Levels Previous Day High (PDH) and Previous Day Low (PDL) are automatically calculated using the prior day’s bar. These are drawn as anchored horizontal lines, extending to the current day. PDH/PDL act as key support/resistance zones — areas where liquidity is often trapped. b) Trap Concept The strategy is based on the “liquidity trap” principle: Buyer Trap (Short Entry): Price breaks above the previous day high (PDH) → buyers think price will continue higher. Price reverses immediately below PDH, trapping aggressive buyers above the key level. This creates selling pressure, giving an opportunity to enter short. Seller Trap (Long Entry): Price breaks below the previous day low (PDL) → sellers think price will continue lower. Price reverses immediately above PDL, trapping aggressive sellers below the key level. This creates buying pressure, giving an opportunity to enter long. The key idea: trapped traders cause the market to move in the opposite direction of the breakout, creating high-probability moves. c) Trade Execution Logic Buyer Trap / Short Entry: Condition: high > PDH AND close < PDH AND no trade taken yet today Entry: Short at the close of the trap candle Stop Loss: ATR-based above the trap candle high to avoid minor wick stops Take Profit: 2:1 Risk-to-Reward ratio Seller Trap / Long Entry: Condition: low < PDL AND close > PDL AND no trade taken yet today Entry: Long at the close of the trap candle Stop Loss: ATR-based below the trap candle low Take Profit: 2:1 Risk-to-Reward ratio Only the first trap trade of the day is allowed to avoid overtrading. d) Risk Management Stop-Loss (SL): ATR-based to account for market volatility Ensures the trade survives minor wick sweeps without being stopped out prematurely Take-Profit (TP): Fixed 2:1 R:R relative to SL Ensures each winning trade outweighs potential losses Trade Frequency: Only first trade per day is allowed, making it highly selective and reducing noise 3. Visual Features PDH/PDL Lines: Anchored to previous day, extend into current day, color-coded: PDH → Green PDL → Red Trade Labels: Placed on the trap candle: Short → Red label “Short” Long → Green label “Long” The visual markers make it easy to identify exactly where the trap occurred and the trade was triggered. 4. How the Strategy Works – Step by Step Example for Short (Buyer Trap): Market opens, PDH/PDL from yesterday are drawn. Price spikes above PDH → some buyers enter expecting breakout continuation. Price immediately closes back below PDH, trapping buyers. The strategy enters short at the close of the reversal candle. SL: placed above the trap candle using ATR to give room TP: calculated as 2x the risk (distance from entry to SL) Trade executes — first trade of the day. Any further trap signals today are ignored. Example for Long (Seller Trap): Price drops below PDL → some sellers enter. Price immediately closes back above PDL, trapping sellers. Strategy enters long at the close of the reversal candle. SL: below trap candle using ATR TP: 2:1 R:R Trade executes — only first trade of the day. 5. Why This Strategy Works Exploits liquidity zones: Markets often hunt stops above PDH or below PDL. High-probability reversals: Trapped traders create strong counter moves. ATR SL: avoids being stopped by minor market noise or wick spikes. Selective trading: Only first trade per day → reduces overtrading and noise. Clear visual markers: Makes manual observation and confirmation easy. 6. Key Tips for Traders Best on high-volume instruments like Forex majors, indices, or crypto pairs with decent liquidity. Works well on 15m and 1H charts — 15m allows quicker signals, 1H filters noise. Avoid trading around major news releases — traps can behave differently during high volatility events. Always backtest and use the ATR SL — never reduce SL too much, otherwise stops will trigger before the real move. ✅ Summary: The Liquidity Trap Strategy identifies trapped buyers/sellers using previous day highs/lows. It uses ATR-adapted stops and 2:1 R:R TP. Only first trade per day is executed, reducing false signals. Anchored PDH/PDL lines and labels make trade opportunities clear. This system is low-frequency, high-probability, focusing on trading smart rather than frequently.
Pine Script®策略
由Danish7421提供
RTH Volume Candle DeltaOverview This indicator is designed specifically for RTH (Regular Trading Hours) intraday traders who scalp the E-mini S&P 500 (ES), Nasdaq (NQ), and other high-liquidity futures. It solves a major flaw in time-based charts: the inability to see the "Speed of the Tape." By using a unique Transparency Heatmap, it simulates MotiveWave-style Constant Volume Bars while keeping your candles fixed to the time-based X-axis to maintain alignment with indicators like VWAP and EMAs. The Power of RTH (Regular Trading Hours) This script is optimized for the high-liquidity environment of the US Regular Session. During RTH: The volume distribution is statistically significant, allowing the script to accurately identify institutional "sweeps." During ETH (Overnight): Volume is often too thin for reliable delta analysis. I have included a "Hide Overnight" toggle to keep your chart clean and focused on the liquidity that matters. Core Logic 1: Volume Partitioning (The Heatmap) The script partitions volume into two visual states based on your target (Default: 1000V): Normal Volume (< Target): These candles are dimmed (High Transparency). They represent background noise where the volume target has not yet been reached within that time slice. Burst Volume (> Target): These candles become solid (Opaque). If a single 15s bar exceeds 1000V, it highlights a Velocity Peak—this is where institutional "Big Money" is actively consuming liquidity. Core Logic 2: Effort-Based Delta (1s Precision)This is the "engine" of the script. Rather than using simple Close-Open delta, it fetches 1-second sub-bar data (the highest precision available without tick data) and applies an Effort vs. Result formula:$ SET:DELTA = Volume \times \frac{(Close - Low) - (High - Close)}{High - Low}$$Buyer Effort: $(Close - Low)$ — How effectively buyers lifted price from the floor before the close.Seller Effort: $(High - Close)$ — How effectively sellers pushed price down from the ceiling.Adaptive Light-Up: The candle "Lights Up" (White/Yellow) only when the Delta is 1.5x greater than the MA 20 of recent deltas. This filters out standard two-way trade and highlights aggressive initiative. How to Trade with this Indicator Spotting Absorption: If you see a Solid (Burst) candle with a small body and "Normal" color, a limit order "Wall" is likely absorbing the market orders. Confirming the Drive: A Solid White/Yellow candle at a key level (VWAP, PDH, or Opening Range) is a high-probability signal that aggressive money is driving the breakout. Multiplier Labels: The labels provide an "x Multiplier" (e.g., x4.2), telling you exactly how many 1000V rotations occurred within that single time-bar. Final Recommendations for Users ES (S&P 500): 1000V is the standard. On a 1m chart, set it to 4000V. NQ (Nasdaq): 400V - 500V is recommended due to thinner liquidity. Setup: For the best experience, hide the default TradingView candle bodies in your chart settings.
Pine Script®指标
由LevenRyan提供
Level to level Multi-TF + ATRLevel to level Multi-Timeframe + ATR/ADR Daily Progress This indicator is a complete multi-timeframe market structure and volatility toolkit, designed primarily for active forex traders. It combines Williams Fractals on five higher timeframes (Weekly, Daily, H4, H1, M5) with a live ATR/ADR dashboard, allowing you to see at a glance how much of the typical daily move has already been completed and how much “room” the market realistically has left to run. Fractals are drawn as arrows and colored zones that clearly mark swing highs and lows, supply/demand pockets, and key reaction areas. These zones can be used as dynamic support/resistance, liquidity pools, and target/stop regions. The multi‑TF design lets you read higher‑timeframe structure while executing on lower timeframes, which is ideal for scalping and intraday trading. The built‑in volatility table shows: ATR Progress (%) with green / yellow / red status to indicate whether the current session is still developing, mature, or potentially exhausted. Daily ATR & ADR values in pips, so you always know the typical and current range of the day. Done / Left range, highlighting how many pips have already been travelled from low to high, and how many are statistically left. ATR and ADR projection lines are also plotted from the daily open, giving you clear intraday reference levels for take profit, stop placement, and expected session extremes. This tool works especially well when combined with Smart Money Concepts (SMC) such as: Break of Structure (BOS) and Change of Character (CHoCH) using fractal highs/lows. Liquidity grabs and stop hunts around fractal zones. Order blocks and fair value gaps that overlap with higher‑TF fractals and ATR/ADR levels. Use it on majors like EUR/USD, GBP/USD, XAU/USD or indices, on anything from fast M1–M5 scalping to H1–H4 swing trading. All colors, timeframes, sensitivities and volatility settings are fully customizable so you can adapt it to your own style and template.
Pine Script®指标
由alessia1973f提供
Open Range BreakoutOpen Range Breakout is a volatility harvesting tool designed to exploit directional expansion following major market opens. It isolates price action during initial liquidity injections to project institutional-grade zones that define a session's structural bias. Core Methodology The script uses a time-anchored engine to map critical supply and demand boundaries: Anchor Identification: The algorithm captures the absolute High and Low within a user-defined window at the start of Tokyo, London, or New York sessions. Structural Projection: It generates a Neutrality Box. A breach via candle close signals the transition from consolidation to expansion. Mathematical Risk Modeling: Upon breakout, it calculates a 3:1 Risk-Reward framework based on fixed percentage volatility. Session Dynamics The system is optimized for the global liquidity cycle: Session 1 (Asia): Maps early-day consolidation and range-bound liquidity. Session 2 (Europe): Captures the London Move to identify the trend. Session 3 (US): Analyzes high-volume New York opens for maximum momentum. Key Features Dynamic Price Mitigation: TP/SL zones stop extending the moment price touches the target or invalidation level to keep charts clean. Volatility-Adjusted Levels: Stop Loss parameters are normalized to price percentage for consistency across Indices, Forex, or Crypto. Minimalist Interface: Professional aesthetic with high-contrast visual cues for instant scannability. Use Cases Momentum Trading: Identifying the Origin of the Move post-open. Mean Reversion: Recognizing failed breakouts when price returns inside the range. Quantitative Backtesting: Benchmarking 3.0 RR targets across different session anchors.
Pine Script®指标
由AlchimistOfCrypto提供
GSS: Gold Swing Sniper [DoNotFollowMeGod]"Inspired by Mean Reversion Theory and Dynamic Volatility Bands (similar to Keltner/Bollinger concepts). Gold (XAUUSD) tends to respect volatility extremes. This script was designed to capture those extremes by combining a Volatility Channel with an ADX Strength Filter. It’s basically a mathematical approach to 'Buying Low and Selling High' in a ranging market." Most traders lose money when the market stops trending. This indicator fixes that by identifying "Range-Bound" conditions using a smart ADX Filter. How it works: Market State Detection: It checks the ADX. If the market is trending strong, it stays quiet. If the market is chopping/ranging, it activates. Sniper Entries: SWING LONG: When price hits the lower band + RSI Oversold + Rejection Candle. SWING SHORT: When price hits the upper band + RSI Overbought + Rejection Candle. Dashboard: A clean Multi-Timeframe table to see if higher timeframes are Trending or Sideways. Disclaimer: This tool is a "Shield" against chop. Do not use it during high-impact news. Based on volatility band logic.
Pine Script®指标
由DoNotFollowMeGod提供
Intraday Session Ranges (Asian-London-NY) - JonathanJD86This script is a technical utility designed to automatically track and visualize the high and low price levels of the three major trading sessions (Asian, London, and New York). How it works: The script uses the time() function with the America/New_York timezone anchor to ensure accuracy regardless of the user's local time. It tracks the maximum and minimum price values during specific user-defined intervals. Key Methodology: Vertical Tick Offset: Unlike standard session boxes, this tool allows users to set a vertical gap (in ticks) so that the labels do not overlap the candle wicks, providing a clearer view of the actual price action. Session Intervals: Defaulted to high-activity windows: Asian (20:00-00:00), London (02:00-05:00), and New York (08:30-16:00). Dynamic Visibility: The script includes a logical check to automatically hide levels on timeframes higher than 1H, preventing chart clutter during macro analysis.
Pine Script®指标
由JonathanJD86提供
T5_TradeEngineLibrary "T5_TradeEngine" tick(close_, high_, low_, ema21, ema50, ema200, atrPct, emaGapPct, btcEma50, btcEma200, btcFilterEffective, isBarClose, crossUp21_50, crossDown21_50, allowEntries, exitOnOppositeCross, feeBps, useSR_TPSL, srLeft, srRight, srLookbackPivots, srBufferPct, srMinDistPct, srMinNetAfterFeesPct, srFallbackToATR, tp1CapPct, slCapPct, useTP2Trail, trailExitOnCloseOnly, tp2CapPct, trailCapPct, holdBars)   Parameters:      close_ (float)      high_ (float)      low_ (float)      ema21 (float)      ema50 (float)      ema200 (float)      atrPct (float)      emaGapPct (float)      btcEma50 (float)      btcEma200 (float)      btcFilterEffective (bool)      isBarClose (bool)      crossUp21_50 (bool)      crossDown21_50 (bool)      allowEntries (bool)      exitOnOppositeCross (bool)      feeBps (float)      useSR_TPSL (bool)      srLeft (int)      srRight (int)      srLookbackPivots (int)      srBufferPct (float)      srMinDistPct (float)      srMinNetAfterFeesPct (float)      srFallbackToATR (bool)      tp1CapPct (float)      slCapPct (float)      useTP2Trail (bool)      trailExitOnCloseOnly (bool)      tp2CapPct (float)      trailCapPct (float)      holdBars (int)
Pine Script®库
由quentinosamudiamentmh7v提供
SA Range Rank JNJ.WEEK. 1.15.2026Signal Architect™ — Developer Note Weekly These daily posts are intentional. They are not meant to showcase wins, targets, or outcomes. They are designed to help viewers observe consistency in market behavior—specifically how structure, range, and reaction repeat across different products and timeframes. The value is not in catching every move. The value is in knowing when participation is unnecessary or unsupported. Signal Architect™ tools are built to help traders avoid low-quality decisions, not to encourage constant activity. ________________________________________ What These Posts Are Demonstrating Over time, if you observe these posts across equities and futures, you’ll begin to notice: • The same structural traps repeat across different instruments • The same reactions occur across multiple timeframes • The same stop-run and absorption behaviors appear regardless of volatility That repetition is not coincidence. It reflects how markets consistently behave, even as prices change. The goal of these posts is to make that behavior familiar— because familiarity reduces hesitation, overtrading, and unnecessary loss. Consistency is not the outcome. Consistency is the environment. ________________________________________ What You’re Seeing (Public View) These charts display a limited visual preview of tools within the Signal Architect™ framework. Only visual context is shown. Core logic, calculations, thresholds, and execution rules are intentionally not disclosed. The tools emphasize: • Market structure over prediction • Environmental awareness over signals • Risk framing over reward chasing Nothing shown publicly is meant to tell you what to trade. It is meant to help you recognize when not to trade. ________________________________________ Why This Matters Most losses do not come from being wrong on direction. They come from participating: • too early • too late • during transitions • inside structural traps Signal Architect™ tools are designed to filter those moments out. In many cases, the highest-value action is: • standing aside • reducing size • waiting for clarity Saving capital is part of execution. Avoiding a bad trade is often more valuable than finding a good one. ________________________________________ Background & Scope (Context Only) Over the years, I’ve developed a wide range of systems and analytical tools spanning: • Equities • Futures • Options structure • Portfolio construction and allocation logic This includes extensive work on rule-based, tightly controlled frameworks designed to function across changing market conditions. None of that internal logic is shared publicly. These posts exist strictly for education, observation, and pattern recognition—not advice, not signals, and not promises. ________________________________________ 🤝 For Those Who Find Value If these daily posts help you see the market more clearly: • Follow, boost, and share my scripts, Ideas, and MINDS posts • Feel free to message me directly with questions or build requests • Constructive feedback and collaboration are always welcome For traders who want to go deeper, optional memberships may include: • Additional signal access • Early previews • Occasional free tools and upgrades 🔗 Membership & Signals trianchor.gumroad.com ________________________________________ ⚠️ Final Note Everything published publicly is educational and analytical only. Markets carry risk. Discipline, patience, and risk management always come first. Watch the consistency. Study the structure. Let the market repeat itself. — Signal Architect™ ________________________________________ 🔗 Personally Developed GPT Tools • AuctionFlow GPT chatgpt.com • Signal Architect™ Gamma Desk – Market Intelligence chatgpt.com • Gamma Squeeze Watchtower™ chatgpt.com Weekly (W) — Strategic Regime / “Where price is allowed to live” Goal: Identify the dominant direction + structural permission for the entire week(s). How to use: • Treat weekly RECLAIM as regime confirmation, not an entry. • If weekly prints Bull RECLAIM, favor long participation on lower timeframes until weekly invalidates. • If weekly prints Bear RECLAIM, same idea but short-biased. Best behavior to look for: • 1–2 reclaim signals per month/quarter. • Use it as a “macro gate.” Recommended settings (starting point): • dispMult 1.2–1.6 • reclaimWindow 20–40 • cooldown 8–20 🟣 WEEKLY — Macro Regime & Liquidity Clearing 1️⃣ Range Indicator (RI) • <30 → long-term compression (energy building) • >70 → macro expansion (trend regime active) Use: Defines whether markets are coiling or trending on a multi-month scale. ________________________________________ 2️⃣ ZoneEngine (Structure) • Identifies macro structural bias • Explains why certain weekly moves fail or accelerate Use: Never fight weekly structure. This is your “market weather.” ________________________________________ 3️⃣ Cloud / Reclaim (Behavior) • Clouds classify regime state, not entries • Reclaims are informational only on weekly Use: Helps label the regime: continuation vs transition. ________________________________________ 4️⃣ Stop-Hunt Proxy • Represents large-scale liquidity clearing • Often tied to: o fund rebalancing o regime shifts o macro events Use: Context only. Weekly stop-hunts explain why a regime changed — they are not trades.
Pine Script®指标
由SignalArchitecT_AI提供