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Candlestick analysis

🚀 DocBrown V73++ EstrategiaStrategy Overview The "DocBrown V73+ Unified Strategy" is a complex and multifaceted algorithmic trading system designed to operate in trending markets. Its core strategy is following the main trend, but its main strength lies in the numerous risk management modules and market filters it uses to protect capital and optimize trade exits. The strategy combines classic trend indicators (EMAs, MACD, ADX) with volatility analysis (Bollinger Band Width) and volume to identify high-probability entry points. However, its most distinctive feature is its sophisticated exit system, which includes multiple Stop Loss (SL) and Take Profit (TP) types that adapt to various market conditions. Entry Logic To open a position (long or short), the strategy evaluates a set of conditions. The main entry is based on: Market Regime Filter: This is a master filter that ensures trading is only carried out in favorable trend conditions. To do this, it simultaneously requires: A minimum ADX to confirm the strength of the trend. A minimum Bollinger Band Width (BBW) to ensure sufficient volatility. A minimum slope in the slow EMA to confirm the market's direction. EMA Alignment: Uses three Exponential Moving Averages (fast, medium, and slow). A long entry requires the fast EMA to be above the average, and the average above the slow EMA. For a short entry, the condition is the reverse. Momentum Confirmation: The MACD must be crossed in the direction of the trade (the MACD line must be above the signal line for longs, and vice versa for shorts). Volume Filter: The volume of the current candle must exceed a minimum ratio compared to its moving average to avoid signals of low market interest. Trend Exhaustion Filter: Prevents new entries if the ADX, after reaching a very high peak, begins to decline, suggesting that the trend may be losing strength. It also includes an alternative entry condition based on a "3-Candle Momentum," which looks for three consecutive candles in the same direction with progressively increasing volume, signaling a possible explosive move. Risk Management and Exit Strategies This is the most complex and robust part of the strategy, with multiple defense and profit-taking mechanisms: Take Profit (TP) Dynamic TP (Enabled by default): Instead of a fixed target, the strategy calculates the TP based on the nearest support and resistance levels. For a long position, it will look for the next resistance, and for a short position, the next support. Trailing After a Breakout: If the price breaks an S&R level and the trade continues in favor, the strategy can move the SL to that broken level and recalculate a new TP target. Stop Loss (SL) and Defensive Closes The strategy features an arsenal of different types of Stop Losses for different situations: Breakeven SL: Once the trade reaches a predefined profit percentage, the SL automatically moves to the entry price plus a small buffer to cover commissions. This ensures that a winning trade doesn't turn into a losing one. Safety Bracket (Anti-Liquidation): This is an "emergency stop" that can be activated to prevent catastrophic losses. It is calculated based on the ATR or a fixed percentage of the price. Adverse Volume Spike SL: Closes the position if a candle appears against the trade with abnormally high volume, which may indicate a violent reversal. Consecutive Candle SL: If a certain number of candles (for example, 3.5) form in a row against the position, the strategy closes the trade to cut the loss. Stagnant Stop: Closes the trade if it enters a loss and the price then remains sideways (without movement) for a defined number of bars, avoiding being trapped in a directionless position. Derivative Stop (Anti-Trend and Counter-Trend): An advanced system that monitors price momentum and acceleration. If it detects that the price begins to move sharply against the trend after accumulating a certain amount of profit, it closes the position to protect profits. Drawdown Stop (Loss): A special trailing stop that is only activated while the trade is in a loss. If the price attempts to recover but then falls again, this Stop is adjusted to minimize the loss from the peak of that small recovery. Counter-Trend SL (BB-CT): Closes the position if, despite being in profit, the market shows clear signs of a trend reversal, such as the price returning within the Bollinger Bands and the MACD crossing against it. Additional Features Multi-Timeframe (MTF) Analysis: The strategy can run on a single chart (e.g., 1-minute) but makes all its decisions based on data from a longer timeframe (e.g., 5 or 15 minutes), allowing it to filter out market noise. Frequency Control: Includes options to limit trades to one per candle and to set a cooldown period after closing a trade, preventing overtrading. Date Filter: Allows backtesting over a specific timeframe. Information Panel: Displays key data such as the strategy status, current TP/SL levels, unrealized profits (MFE), and the status of internal signals in real time on the chart. Full Display: Draws S&R levels, EMAs, Bollinger Bands, and active entry, TP, and SL levels on the chart. IMPORTANT: Use in Isolated Leverage x5 (limit), start small and test tokens before jumping in. DONATIONS: Token: USDT - Network: BSC Binance Smart Chain Wallet: 0xe87b4589a53443d8ffed2e9b5a7ef58f261f087c
Pine Script®策略
由neurodoc提供
MACD + Supertrend + DEMA StrategySTRATEGY 📊 STRATEGY LOGIC: Long Entry: When ALL of these occur simultaneously: MACD histogram crosses above 0 Supertrend is bullish (green) Short DEMA > Long DEMA Short Entry: When ALL of these occur simultaneously: MACD histogram crosses below 0 Supertrend is bearish (red) Short DEMA < Long DEMA Exits: Based on your TP/SL percentages from entry price This follows the same clean structure as your MACD strategy but adds the alignment concept and proper risk management!
Pine Script®策略
由bdmasood提供
Swing Breakout Strategy ver 1Overview A multi-confirmation swing strategy that seeks trend breakouts and adds three optional confluence modules: candlestick patterns, RSI/MACD regular divergences, and simple chart patterns (double top/bottom). Built for clarity, fast testing, and togglable debug markers. Core Logic Trend filter: SMA(50) vs SMA(200) + price vs SMA(21). Breakout engine: Close breaks prior N-bar high/low (lookback configurable). Momentum: Stochastic cross (optional view), MACD cross/zone, RSI regime (>50 or <50). Volume: Above SMA(volume) filter. Optional Confluence Modules Candlestick analysis (enable/disable): Bull/Bear Engulfing, Hammer, Shooting Star, Inside Bar (bull/bear flavors). Divergence (enable/disable): Regular divergences on RSI and MACD histogram using confirmed pivots (HH/LH or LL/HL). Chart patterns (enable/disable): Double Bottom (two similar lows + neckline break). Double Top (two similar highs + neckline break). Tolerance and pivot width are configurable. Entries & Exits Entry Long: Any of (Base Breakout + Trend + Momentum + Volume) OR enabled confluences (candles / divergence / pattern). Entry Short: Symmetric logic for downside. Risk management: Optional ATR-based stop loss and take profit (configurable length & multipliers). Note: If you prefer confluences to be filters (AND), change the final buySignal/sellSignal lines accordingly. Inputs (key) SMA lengths (21/50/200), RSI length, Stochastic lengths & smoothing, MACD (12/26/9). Breakout lookback, Volume SMA. ATR exits (on/off, ATR length, SL/TP multipliers). Toggles for Candlesticks, Divergences, Patterns, plus per-module debug markers. Plots & Markers Plots SMA 21/50/200. Buy/Sell arrows on chart. Optional debug markers for each condition (global-scope safe). Divergence/pattern markers offset to the actual pivot/neckline bars. Good Practices Test on multiple timeframes and instruments; tune lookbacks and ATR multipliers. Consider using the modules as filters in trending markets to reduce whipsaws. Always forward-test and combine with position sizing. Disclaimer For educational purposes only. This is not financial advice. Trading involves risk. Version & Credits Pine Script® v6 — Strategy. Developed by: Mohammed Bedaiwi.
Pine Script®策略
由mbedaiwi2提供
Moving Average Trend Strategy V2.1 — With Stop Loss and Add Posi**Strategy Feature Description:** --- ### **Entry Logic:** * When **MA7** crosses **MA15**, and the distance between **MA15** and **MA99** is less than **0.5%** * When **MA15** crosses **MA99**, and the distance between **MA7** and **MA15** is less than **0.5%** * When the distance among all three MAs (**MA7**, **MA15**, **MA99**) is less than **0.5%** (adjustable via parameters) --- ### **Capital Management:** * Initial capital: **$100** * Each position uses **15%** of total capital * Opens **both long and short positions simultaneously** (dual-direction mode) --- ### **Risk Control:** * **Long position stop-loss:** Entry price − 2% * **Short position stop-loss:** Entry price + 2% * Uses a **five-level take-profit grid**: * Every 5% profit → close 20% of position * Any pending take-profit orders are automatically canceled when stop-loss triggers --- ### **Visualization Features:** * Real-time display of the three moving averages * Chart annotations for entry signal points * All trade signals and performance can be viewed through **TradingView backtest reports** --- ### **Notes:** * Parameters can be adjusted based on the volatility of the instrument (historical backtesting is recommended first) * Dual-direction positions may generate **hedging costs** — recommended for low-fee markets * Real trading must consider **exchange minimum order size limits** * Suggest enabling a **volume filter mechanism** (extension interface already reserved) * Always perform **historical backtesting and parameter optimization** in TradingView before connecting to live trading systems
Pine Script®策略
由shuan789提供
Swing Breakout Strategy — Candles + Divergences + Patterns (rev)Overview A multi-confirmation swing strategy that seeks trend breakouts and adds three optional confluence modules: candlestick patterns, RSI/MACD regular divergences, and simple chart patterns (double top/bottom). Built for clarity, fast testing, and togglable debug markers. Core Logic Trend filter: SMA(50) vs SMA(200) + price vs SMA(21). Breakout engine: Close breaks prior N-bar high/low (lookback configurable). Momentum: Stochastic cross (optional view), MACD cross/zone, RSI regime (>50 or <50). Volume: Above SMA(volume) filter. Optional Confluence Modules Candlestick analysis (enable/disable): Bull/Bear Engulfing, Hammer, Shooting Star, Inside Bar (bull/bear flavors). Divergence (enable/disable): Regular divergences on RSI and MACD histogram using confirmed pivots (HH/LH or LL/HL). Chart patterns (enable/disable): Double Bottom (two similar lows + neckline break). Double Top (two similar highs + neckline break). Tolerance and pivot width are configurable. Entries & Exits Entry Long: Any of (Base Breakout + Trend + Momentum + Volume) OR enabled confluences (candles / divergence / pattern). Entry Short: Symmetric logic for downside. Risk management: Optional ATR-based stop loss and take profit (configurable length & multipliers). Note: If you prefer confluences to be filters (AND), change the final buySignal/sellSignal lines accordingly. Inputs (key) SMA lengths (21/50/200), RSI length, Stochastic lengths & smoothing, MACD (12/26/9). Breakout lookback, Volume SMA. ATR exits (on/off, ATR length, SL/TP multipliers). Toggles for Candlesticks, Divergences, Patterns, plus per-module debug markers. Plots & Markers Plots SMA 21/50/200. Buy/Sell arrows on chart. Optional debug markers for each condition (global-scope safe). Divergence/pattern markers offset to the actual pivot/neckline bars. Good Practices Test on multiple timeframes and instruments; tune lookbacks and ATR multipliers. Consider using the modules as filters in trending markets to reduce whipsaws. Always forward-test and combine with position sizing. Disclaimer For educational purposes only. This is not financial advice. Trading involves risk. Version & Credits Pine Script® v6 — Strategy. Developed by: Mohammed Bedaiwi.
Pine Script®策略
由mbedaiwi2提供
Aurum DCX AVE Gold and Silver StrategySummary in one paragraph Aurum DCX AVE is a volatility break strategy for gold and silver on intraday and swing timeframes. It aligns a new Directional Convexity Index with an Adaptive Volatility Envelope and an optional USD/DXY bias so trades appear only when direction quality and expansion agree. It is original because it fuses three pieces rarely combined in one model for metals: a convexity aware trend strength score, a percentile based envelope that widens with regime heat, and an intermarket DXY filter. Scope and intent • Markets. Gold and silver futures or spot, other liquid commodities, major indices • Timeframes. Five minutes to one day. Defaults to 30min for swing pace • Default demo used in this publication. TVC:GOLD on 30m • Purpose. Enter confirmed volatility breaks while muting chop using regime heat and USD bias • Limits. This is a strategy. Orders are simulated on standard candles only Originality and usefulness • Unique fusion. DCX combines DI strength with path efficiency and curvature. AVE blends ATR with a high TR percentile and widens with DCX heat. DXY adds an intermarket bias • Failure mode addressed. False starts inside compression and unconfirmed breakouts during USD swings • Testability. Each component has a named input. Entry names L and S are visible in the list of trades • Portable yardstick. Weekly ATR for stops and R multiples for targets • Open source. Method and implementation are disclosed for community review Method overview in plain language You score direction quality with DCX, size an adaptive envelope with a blend of ATR and a high TR percentile, and only allow breaks that clear the band while DCX is above a heat threshold in the same direction. An optional DXY filter favors long when USD weakens and short when USD strengthens. Orders are bracketed with a Weekly ATR stop and an R multiple target, with optional trailing to the envelope. Base measures • Range basis. True Range and ATR over user windows. A high TR percentile captures expansion tails used by AVE • Return basis. Not required Components • Directional Convexity Index DCX. Measures directional strength with DX, multiplies by path efficiency, blends a curvature term from acceleration, scales to 0 to 100, and uses a rise window • Adaptive Volatility Envelope AVE. Midline ALMA or HMA or EMA plus bands sized by a blend of ATR and a high TR percentile. The blend weight follows volatility of volatility. Band width widens with DCX heat • DXY Bias optional. Daily EMA trend of DXY. Long bias when USD weakens. Short bias when USD strengthens • Risk block. Initial stop equals Weekly ATR times a multiplier. Target equals an R multiple of the initial risk. Optional trailing to AVE band Fusion rule • All gates must pass. DCX above threshold and rising. Directional lead agrees. Price breaks the AVE band in the same direction. DXY bias agrees when enabled Signal rule • Long. Close above AVE upper and DCX above threshold and DCX rising and plus DI leads and DXY bias is bearish • Short. Close below AVE lower and DCX above threshold and DCX falling and minus DI leads and DXY bias is bullish • Exit and flip. Bracket exit at stop or target. Optional trailing to AVE band Inputs with guidance Setup • Symbol. Default TVC:GOLD (Correlation Asset for internal logic) • Signal timeframe. Blank follows the chart • Confirm timeframe. Default 1 day used by the bias block Directional Convexity Index • DCX window. Typical 10 to 21. Higher filters more. Lower reacts earlier • DCX rise bars. Typical 3 to 6. Higher demands continuation • DCX entry threshold. Typical 15 to 35. Higher avoids soft moves • Efficiency floor. Typical 0.02 to 0.06. Stability in quiet tape • Convexity weight 0..1. Typical 0.25 to 0.50. Higher gives curvature more influence Adaptive Volatility Envelope • AVE window. Typical 24 to 48. Higher smooths more • Midline type. ALMA or HMA or EMA per preference • TR percentile 0..100. Typical 75 to 90. Higher favors only strong expansions • Vol of vol reference. Typical 0.05 to 0.30. Controls how much the percentile term weighs against ATR • Base envelope mult. Typical 1.4 to 2.2. Width of bands • Regime adapt 0..1. Typical 0.6 to 0.95. How much DCX heat widens or narrows the bands Intermarket Bias • Use DXY bias. Default ON • DXY timeframe. Default 1 day • DXY trend window. Typical 10 to 50 Risk • Risk percent per trade. Reporting field. Keep live risk near one to two percent • Weekly ATR. Default 14. Basis for stops • Stop ATR weekly mult. Typical 1.5 to 3.0 • Take profit R multiple. Typical 1.5 to 3.0 • Trail with AVE band. Optional. OFF by default Properties visible in this publication • Initial capital. 20000 • Base currency. USD • request.security lookahead off everywhere • Commission. 0.03 percent • Slippage. 5 ticks • Default order size method percent of equity with value 3% of the total capital available • Pyramiding 0 • Process orders on close ON • Bar magnifier ON • Recalculate after order is filled OFF • Calc on every tick OFF Realism and responsible publication • No performance claims. Past results never guarantee future outcomes • Shapes can move while a bar forms and settle on close • Strategies use standard candles for signals and orders only Honest limitations and failure modes • Economic releases and thin liquidity can break assumptions behind the expansion logic • Gap heavy symbols may prefer a longer ATR window • Very quiet regimes can reduce signal contrast. Consider higher DCX thresholds or wider bands • Session time follows the exchange of the chart and can change symbol to symbol • Symbol sensitivity is expected. Use the gates and length inputs to find stable settings Open source reuse and credits • None Mode Public open source. Source is visible and free to reuse within TradingView House Rules Legal Education and research only. Not investment advice. You are responsible for your decisions. Test on historical data and in simulation before any live use. Use realistic costs.
Pine Script®策略
由exlux提供
Fincandle ATR Direction TrackerOverview The Fincandle ATR Direction Tracker is a strategy designed to capture momentum moves in the market using a dynamic ATR-based trailing stop. It identifies strong momentum candles and filters signals using trend alignment with moving averages. Partial exits allow users to take a portion of profit at a predefined ATR multiple while keeping the remaining position open until the opposite signal occurs. How It Works Momentum Detection: Measures candle body size relative to the Average True Range (ATR). A candle is considered momentum if its body size exceeds ATR × Multiplier. Trend Filter: Uses two moving averages (Fast MA and Slow MA) to determine the market trend. Bullish trend: Fast MA > Slow MA → long trades allowed Bearish trend: Fast MA < Slow MA → short trades allowed Trend filter can be toggled on or off. ATR Trailing Stop: A dynamic trailing stop adapts to price volatility. Crossing above the trail triggers a buy signal, crossing below triggers a sell signal. Partial Exit / Take Profit: Step 1: Exit 50% of the position when price moves a configurable multiple of ATR in your favor. Step 2: Close the remaining position when the opposite signal occurs (e.g., price crosses below/above the ATR trail). How to Use Add the strategy to any chart (stocks, indices, forex, crypto). Configure ATR period, sensitivity, take profit multiple, and moving average lengths to suit the timeframe and asset. Monitor buy/sell markers and dynamic ATR trail on the chart. Optional: Set alerts for real-time notifications when signals trigger. Adjust partial exit multiplier to control risk/reward. Example Settings ATR Period: 10 ATR Sensitivity: 3 × ATR Take Profit: 2 × ATR Fast MA: 50 Slow MA: 200 Partial Exit: 50% of position at take profit, remaining exits on opposite signal Key Features Adaptive ATR trailing stop for volatility-based entries/exits. Trend alignment filter with Fast/Slow MA. Partial exit logic for better risk management. Visual BUY/SELL markers and alerts. Fully Pine Script v6 compatible. Disclaimer This strategy is for educational and analytical purposes only. It does not guarantee profits. Traders should always use proper risk management.
Pine Script®策略
由education-fincandle提供
1
First 30M Candle Rule Ref / 5M EntriesThis strategy highlights and reacts to two key 30-minute candles on the Romanian market schedule — at 10:30 AM and 15:30 or 16:30 (depending on daylight saving time). It is designed to run on a 5-minute chart, using the 30-minute candles as reference points for potential entries. When each 30-minute candle closes, the script: Colors the background during that specific 30-minute period (green for the morning session, red for the afternoon session) Sends an alert confirming the candle’s closure Places a symbolic long trade after the 10:30 candle closes and a symbolic short trade after the afternoon candle closes (for backtesting purposes) This setup allows traders to test or automate strategies that rely on market reactions following key time-based candles, without plotting any extra lines on the chart.
Pine Script®策略
由danutz3llu提供
OB breakerOB Breaker OB breaker is a system designed to trade either order blocks or breaker blocks (the opposite of the order block) as they are formed. The system detects order blocks through a very specific candle pattern to identify the order block zone. It then executes trades on either the creation of the order block or a re-test of the order block/breaker zone, whichever the user chooses. Methodology & Core Concepts Order blocks are formed on an ongoing basis, but they carry more weight when formed at extremes. The OB breaker will utilize a London session period defined by the user to begin drawing the order blocks and if the order blocks have not been breached, they will carry into the trade execution session and remain there until they are either destroyed or to the next London session start time where they will reset for the new day. The London session begins drawing order blocks as defined. The pink and blue arrows represent areas where a potential order block may form based on the logic of the order block. A candle must have a wick high with a strong reversal for the order block to be created. If an order block is not destroyed, it will extend into the trade execution period. Once an order block is created, it can trade off of the creation of the order block or on a re-test of the order block. Whichever is chosen. Features And How They Work When the “original" (disabled breaker) is checked, the strategy will look to take longs out of bullish order blocks and shorts out of bearish order blocks. When this is unchecked, it will trade on “breakers.” It will look to go long on the break of a bearish order block and short on the break of a bullish order block. How the defined London Session Works A user can set the London session start and end time to any trade window for the strategy to begin drawing new order blocks. If an order block is not destroyed it will carry into the trade execution time window. All order blocks are reset at the beginning of the next London session Order Block Entries Enter on OB creation or Re-test - When this is checked, the strategy will look to take a trade on the re-test of the order block Entry Adjustment on Ticks - If using the entry on re-test, one can define how deep into the order block the strategy should enter on the re-test. “0” would be right at the order block line “-10” would be 10 ticks inside the order block. If the Enter on OB creation or Re-test - is unchecked, the strategy will simply enter on the creation of the order block on candle close and not on the re-test Trade Management User can choose how many trades to execute within a trading window Stop Loss A user can choose a fixed stop, or the dynamic order block. The dynamic order block stop will simply be a stop blacked at the top or bottom of the order block. Ticks extending beyond the stop loss If a user is using a dynamic stop, they can adjust this to move the stop x value to a fixed point of ticks over or under the dynamic order block Users can set the stop and break even to any tick value. Enabling the trailing stop, a user can set the strategy at a tick value to begin trailing and then an offset value to trail by Enabling the move to break even moves the stop to break even after the defined tick value Take profit levels can be defined by a tick value, or a risk to reward value. Force Session To Close Only End Matters Defines the time period a user would like all positions to be flattened regardless if a tp or stop was hit. Force Close At Session End Flattens all positions at the end of the NY session Enable Multiple Take Profits A user can define the specific tick values to take profits at up to 3 different areas. Disclaimer This script is for educational and informational purposes only. It does not provide financial advice, and past performance does not guarantee future results. Trading carries risk, and all decisions are your responsibility. Redistribution or unauthorized use is strictly prohibited.
Pine Script®策略
由sp33dr4ge提供
Quantum Flux Universal Strategy Summary in one paragraph Quantum Flux Universal is a regime switching strategy for stocks, ETFs, index futures, major FX pairs, and liquid crypto on intraday and swing timeframes. It helps you act only when the normalized core signal and its guide agree on direction. It is original because the engine fuses three adaptive drivers into the smoothing gains itself. Directional intensity is measured with binary entropy, path efficiency shapes trend quality, and a volatility squash preserves contrast. Add it to a clean chart, watch the polarity lane and background, and trade from positive or negative alignment. For conservative workflows use on bar close in the alert settings when you add alerts in a later version. Scope and intent • Markets. Large cap equities and ETFs. Index futures. Major FX pairs. Liquid crypto • Timeframes. One minute to daily • Default demo used in the publication. QQQ on one hour • Purpose. Provide a robust and portable way to detect when momentum and confirmation align, while dampening chop and preserving turns • Limits. This is a strategy. Orders are simulated on standard candles only Originality and usefulness • Unique concept or fusion. The novelty sits in the gain map. Instead of gating separate indicators, the model mixes three drivers into the adaptive gains that power two one pole filters. Directional entropy measures how one sided recent movement has been. Kaufman style path efficiency scores how direct the path has been. A volatility squash stabilizes step size. The drivers are blended into the gains with visible inputs for strength, windows, and clamps. • What failure mode it addresses. False starts in chop and whipsaw after fast spikes. Efficiency and the squash reduce over reaction in noise. • Testability. Every component has an input. You can lengthen or shorten each window and change the normalization mode. The polarity plot and background provide a direct readout of state. • Portable yardstick. The core is normalized with three options. Z score, percent rank mapped to a symmetric range, and MAD based Z score. Clamp bounds define the effective unit so context transfers across symbols. Method overview in plain language The strategy computes two smoothed tracks from the chart price source. The fast track and the slow track use gains that are not fixed. Each gain is modulated by three drivers. A driver for directional intensity, a driver for path efficiency, and a driver for volatility. The difference between the fast and the slow tracks forms the raw flux. A small phase assist reduces lag by subtracting a portion of the delayed value. The flux is then normalized. A guide line is an EMA of a small lead on the flux. When the flux and its guide are both above zero, the polarity is positive. When both are below zero, the polarity is negative. Polarity changes create the trade direction. Base measures • Return basis. The step is the change in the chosen price source. Its absolute value feeds the volatility estimate. Mean absolute step over the window gives a stable scale. • Efficiency basis. The ratio of net move to the sum of absolute step over the window gives a value between zero and one. High values mean trend quality. Low values mean chop. • Intensity basis. The fraction of up moves over the window plugs into binary entropy. Intensity is one minus entropy, which maps to zero in uncertainty and one in very one sided moves. Components • Directional Intensity. Measures how one sided recent bars have been. Smoothed with RMA. More intensity increases the gain and makes the fast and slow tracks react sooner. • Path Efficiency. Measures the straightness of the price path. A gamma input shapes the curve so you can make trend quality count more or less. Higher efficiency lifts the gain in clean trends. • Volatility Squash. Normalizes the absolute step with Z score then pushes it through an arctangent squash. This caps the effect of spikes so they do not dominate the response. • Normalizer. Three modes. Z score for familiar units, percent rank for a robust monotone map to a symmetric range, and MAD based Z for outlier resistance. • Guide Line. EMA of the flux with a small lead term that counteracts lag without heavy overshoot. Fusion rule • Weighted sum of the three drivers with fixed weights visible in the code comments. Intensity has fifty percent weight. Efficiency thirty percent. Volatility twenty percent. • The blend power input scales the driver mix. Zero means fixed spans. One means full driver control. • Minimum and maximum gain clamps bound the adaptive gain. This protects stability in quiet or violent regimes. Signal rule • Long suggestion appears when flux and guide are both above zero. That sets polarity to plus one. • Short suggestion appears when flux and guide are both below zero. That sets polarity to minus one. • When polarity flips from plus to minus, the strategy closes any long and enters a short. • When flux crosses above the guide, the strategy closes any short. What you will see on the chart • White polarity plot around the zero line • A dotted reference line at zero named Zen • Green background tint for positive polarity and red background tint for negative polarity • Strategy long and short markers placed by the TradingView engine at entry and at close conditions • No table in this version to keep the visual clean and portable Inputs with guidance Setup • Price source. Default ohlc4. Stable for noisy symbols. • Fast span. Typical range 6 to 24. Raising it slows the fast track and can reduce churn. Lowering it makes entries more reactive. • Slow span. Typical range 20 to 60. Raising it lengthens the baseline horizon. Lowering it brings the slow track closer to price. Logic • Guide span. Typical range 4 to 12. A small guide smooths without eating turns. • Blend power. Typical range 0.25 to 0.85. Raising it lets the drivers modulate gains more. Lowering it pushes behavior toward fixed EMA style smoothing. • Vol window. Typical range 20 to 80. Larger values calm the volatility driver. Smaller values adapt faster in intraday work. • Efficiency window. Typical range 10 to 60. Larger values focus on smoother trends. Smaller values react faster but accept more noise. • Efficiency gamma. Typical range 0.8 to 2.0. Above one increases contrast between clean trends and chop. Below one flattens the curve. • Min alpha multiplier. Typical range 0.30 to 0.80. Lower values increase smoothing when the mix is weak. • Max alpha multiplier. Typical range 1.2 to 3.0. Higher values shorten smoothing when the mix is strong. • Normalization window. Typical range 100 to 300. Larger values reduce drift in the baseline. • Normalization mode. Z score, percent rank, or MAD Z. Use MAD Z for outlier heavy symbols. • Clamp level. Typical range 2.0 to 4.0. Lower clamps reduce the influence of extreme runs. Filters • Efficiency filter is implicit in the gain map. Raising efficiency gamma and the efficiency window increases the preference for clean trends. • Micro versus macro relation is handled by the fast and slow spans. Increase separation for swing, reduce for scalping. • Location filter is not included in v1.0. If you need distance gates from a reference such as VWAP or a moving mean, add them before publication of a new version. Alerts • This version does not include alertcondition lines to keep the core minimal. If you prefer alerts, add names Long Polarity Up, Short Polarity Down, Exit Short on Flux Cross Up in a later version and select on bar close for conservative workflows. Strategy has been currently adapted for the QQQ asset with 30/60min timeframe. For other assets may require new optimization Properties visible in this publication • Initial capital 25000 • Base currency Default • Default order size method percent of equity with value 5 • Pyramiding 1 • Commission 0.05 percent • Slippage 10 ticks • Process orders on close ON • Bar magnifier ON • Recalculate after order is filled OFF • Calc on every tick OFF Honest limitations and failure modes • Past results do not guarantee future outcomes • Economic releases, circuit breakers, and thin books can break the assumptions behind intensity and efficiency • Gap heavy symbols may benefit from the MAD Z normalization • Very quiet regimes can reduce signal contrast. Use longer windows or higher guide span to stabilize context • Session time is the exchange time of the chart • If both stop and target can be hit in one bar, tie handling would matter. This strategy has no fixed stops or targets. It uses polarity flips for exits. If you add stops later, declare the preference Open source reuse and credits • None beyond public domain building blocks and Pine built ins such as EMA, SMA, standard deviation, RMA, and percent rank • Method and fusion are original in construction and disclosure Legal Education and research only. Not investment advice. You are responsible for your decisions. Test on historical data and in simulation before any live use. Use realistic costs. Strategy add on block Strategy notice Orders are simulated by the TradingView engine on standard candles. No request.security() calls are used. Entries and exits • Entry logic. Enter long when both the normalized flux and its guide line are above zero. Enter short when both are below zero • Exit logic. When polarity flips from plus to minus, close any long and open a short. When the flux crosses above the guide line, close any short • Risk model. No initial stop or target in v1.0. The model is a regime flipper. You can add a stop or trail in later versions if needed • Tie handling. Not applicable in this version because there are no fixed stops or targets Position sizing • Percent of equity in the Properties panel. Five percent is the default for examples. Risk per trade should not exceed five to ten percent of equity. One to two percent is a common choice Properties used on the published chart • Initial capital 25000 • Base currency Default • Default order size percent of equity with value 5 • Pyramiding 1 • Commission 0.05 percent • Slippage 10 ticks • Process orders on close ON • Bar magnifier ON • Recalculate after order is filled OFF • Calc on every tick OFF Dataset and sample size • Test window Jan 2, 2014 to Oct 16, 2025 on QQQ one hour • Trade count in sample 324 on the example chart Release notes template for future updates Version 1.1. • Add alertcondition lines for long, short, and exit short • Add optional table with component readouts • Add optional stop model with a distance unit expressed as ATR or a percent of price Notes. Backward compatibility Yes. Inputs migrated Yes.
Pine Script®策略
由exlux提供
Universal Regime Alpha Thermocline StrategyCurrents settings adapted for BTCUSD Daily timeframe This description is written to comply with TradingView House Rules and Script Publishing Rules. It is self contained, in English first, free of advertising, and explains originality, method, use, defaults, and limitations. No external links are included. Nothing here is investment advice. 0. Publication mode and rationale This script is published as Protected . Anyone can add and test it from the Public Library, yet the source code is not visible. Why Protected The engine combines three independent lenses into one regime score and then uses an adaptive centering layer and a thermo risk unit that share a common AAR measure. The exact mapping and interactions are the result of original research and extensive validation. Keeping the implementation protected preserves that work and avoids low effort clones that would fragment feedback and confuse users. Protection supports a single maintained build for users. It reduces accidental misuse of internal functions outside their intended context which might lead to misleading results. 1. What the strategy does in one paragraph Universal Regime Alpha Thermocline builds a single number between zero and one that answers a practical question for any market and timeframe. How aligned is current price action with a persistent directional regime right now. To answer this the script fuses three views of the tape. Directional entropy of up versus down closes to measure unanimity. Convexity drift that rewards true geometric compounding and penalizes drag that comes from chop where arithmetic pace is high but growth is poor. Tail imbalance that counts decisive bursts in one direction relative to typical bar amplitude. The three channels are blended, optionally confirmed by a higher timeframe, and then adaptively centered to remove local bias. Entries fire when the score clears an entry gate. Exits occur when the score mean reverts below an exit gate or when thermo stops remove risk. Position size can scale with the certainty of the signal. 2. Why it is original and useful It mixes orthogonal evidence instead of leaning on a single family of tools. Many regime filters depend on moving averages or volatility compression. Here we add an information view from entropy, a growth view from geometric drift, and a structural view from tail imbalance. The drift channel separates growth from speed. Arithmetic pace can look strong in whipsaw, yet geometric growth stays weak. The engine measures both and subtracts drag so that only sequences with compounding quality rise. Tail counting is anchored to AAR which is the average absolute return of bars in the window. This makes the threshold self scaling and portable across symbols and timeframes without hand tuned constants. Adaptive centering prevents the score from living above or below neutral for long stretches on assets with strong skew. It recovers neutrality while still allowing persistent regimes to dominate once evidence accumulates. The same AAR unit used in the signal also sets stop distance and trail distance. Signal and risk speak the same language which makes the method portable and easier to reason about. 3. Plain language overview of the math Log returns . The base series is r equal to the natural log of close divided by the previous close. Log return allows clean aggregation and makes growth comparisons natural. Directional entropy . Inside the lookback we compute the proportion p of bars where r is positive. Binary entropy of p is high when the mix of up and down closes is balanced and low when one direction dominates. Intensity is one minus entropy. Directional sign is two times p minus one. The trend channel is zero point five plus one half times sign times intensity. It lives between zero and one and grows stronger as unanimity increases. Convexity drift with drag . Arithmetic mean of r measures pace. Geometric mean of the price ratio over the window measures compounding. Drag is the positive part of arithmetic minus geometric. Drift raw equals geometric minus drag multiplier times drag. We then map drift through an arctangent normalizer scaled by AAR and a nonlinearity parameter so the result is stable and remains between zero and one. Tail imbalance . AAR equals the average of the absolute value of r in the window. We count up tails where r is greater than aar_mult times AAR and down tails where r is less than minus aar_mult times AAR. The imbalance is their difference over their total, mapped to zero to one. This detects directional impulse flow. Fusion and centering . A weighted average of the three channels yields the raw score. If a higher timeframe is requested, the same function is executed on that timeframe with lookahead off and blended with a weight. Finally we subtract a fraction of the rolling mean of the score to recover neutrality. The result is clipped to the zero to one band. 4. Entries, exits, and position sizing Enter long when score is strictly greater than the entry gate. Enter short when score is strictly less than one minus the entry gate unless direction is restricted in inputs. Exit a long when score falls below the exit gate. Exit a short when score rises above one minus the exit gate. Thermo stops are expressed in AAR units. A long uses the maximum of an initial stop sized by the entry price and AAR and a trail stop that references the running high since entry with a separate multiple. Shorts mirror this with the running low. If the trail is disabled the initial stop is active. Cooldown is a simple bar counter that begins when the position returns to flat. It prevents immediate re entry in churn. Dynamic position size is optional. When enabled the order percent of equity scales between a floor and a cap as the score rises above the gate for longs or below the symmetric gate for shorts. 5. Inputs quick guide with recommended ranges Every input has a tooltip in the script. The same guidance appears here for fast reading. Core window . Shared lookback for entropy, drift, and tails. Start near 80 on daily charts. Try 60 to 120 on intraday and 80 to 200 for swing. Entry threshold . Typical range 0.55 to 0.65 for trend following. Faster entries 0.50 to 0.55. Exit threshold . Typical range 0.35 to 0.50. Lower holds longer yet gives back more. Weight directional entropy . Starting value 0.40. Raise on markets with clean persistence. Weight convexity drift . Starting value 0.40. Raise when compounding quality is critical. Weight tail imbalance . Starting value 0.20. Raise on breakout prone markets. Tail threshold vs AAR . Typical range 1.0 to 1.5 to count decisive bursts. Drag penalty . Typical range 0.25 to 0.75. Higher punishes chop more. Nonlinearity scale . Typical range 0.8 to 2.0. Larger compresses extremes. AAR floor in percent . Typical range 0.0005 to 0.002 for liquid instruments. This stabilizes the math during quiet regimes. Adaptive centering . Keep on for most symbols. Center strength 0.40 to 0.70. Confirm timeframe optional . Leave empty to disable. If used, try a multiple between three and five of the chart timeframe with a blend weight near 0.20. Dynamic position size . Enable if you want size to reflect certainty. Floor and cap define the percent of equity band. A practical band for many accounts is 0.5 to 2. Cooldown bars after exit . Start at 3 on daily or slightly higher on shorter charts. Thermo stop multiple . Start between 1.5 and 3.0 on daily. Adjust to your tolerance and symbol behavior. Thermo trailing stop and Trail multiple . Trail on locks gains earlier. A trail multiple near 1.0 to 2.0 is common. You can keep trail off and let the exit gate handle exits. Background heat opacity . Cosmetic. Set to taste. Zero disables it. 6. Properties used on the published chart The example publication uses BTCUSD on the daily timeframe. The following Properties and inputs are used so everyone can reproduce the same results. Initial capital 100000 Base currency USD Order size 2 percent of equity coming from our risk management inputs. Pyramiding 0 Commission 0.05 percent Slippage 10 ticks in the publication for clarity. Users should introduce slippage in their own research. Recalculate after order is filled off. On every tick off. Using bar magnifier on. On bar close on. Risk inputs on the published chart. Dynamic position size on. Size floor percent 2. Size cap percent 2. Cooldown bars after exit 3. Thermo stop multiple 2.5. Thermo trailing stop off. Trail multiple 1. 7. Visual elements and alerts The score is painted as a subtle dot rail near the bottom. A background heat map runs from red to green to convey regime strength at a glance. A compact HUD at the top right shows current score, the three component channels, the active AAR, and the remaining cooldown. Four alerts are included. Long Setup and Short Setup on entry gates. Exit Long by Score and Exit Short by Score on exit gates. You can disable trading and use alerts only if you want the score as a risk switch inside a discretionary plan. 8. How to reproduce the example Open a BTCUSD daily chart with regular candles. Add the strategy and load the defaults that match the values above. Set Properties as listed in section 6.(they are set by default) Confirm that bar magnifier is on and process on bar close is on. Run the Strategy Tester. Confirm that the trade count is reasonable for the sample. If the count is too low, slightly lower the entry threshold or extend history. If the count is excessively high, raise the threshold or add a small cooldown. 9. Practical tuning recipes Trend following focus . Raise the entry threshold toward 0.60. Raise the trend weight to 0.50 and reduce tail weight to 0.15. Keep drift near 0.35 to retain the growth filter. Consider leaving the trail off and let the exit threshold manage positions. Breakout focus . Keep entry near 0.55. Raise tail weight to 0.35. Keep aar_mult near 1.3 so only decisive bursts count. A modest cooldown near 5 can reduce immediate false flips after the first burst bar. Chop defense . Raise drag multiplier to 0.70. Raise exit threshold toward 0.48 to recycle capital earlier. Consider a higher cooldown, for example 8 to 12 on intraday. Higher timeframe blend . On a daily chart try a weekly confirm with a blend near 0.20. On a five minute chart try a fifteen minute confirm. This moderates transitions. Sizing discipline . If you want constant position size, set floor equal to cap. If you want certainty scaling, set a band like 0.5 to 2 and monitor drawdown behavior before widening it. 10. Strengths and limitations Strengths Self scaling unit through AAR makes the tool portable across markets and timeframes. Blends evidence that target different failure modes. Unanimity, growth quality, and impulse flow rarely agree by chance which raises confidence when they align. Adaptive centering reduces structural bias at the score level which helps during regime flips. Limitations In very quiet regimes AAR becomes small even with a floor. If your symbol is thin or gap prone, raise the floor a little to keep stops and drift mapping stable. Adaptive centering can delay early breakout acceptance. If you miss starts, lower center strength or temporarily disable centering while you evaluate. Tail counting uses a fixed multiple of AAR. If a market alternates between very calm and very violent weeks, a single aar_mult may not capture both extremes. Sweep this parameter in research. The engine reacts to realized structure. It does not anticipate scheduled news or liquidity shocks. Use event awareness if you trade around releases. 11. Realism and responsible publication No promises or projections of performance are made. Past results never guarantee future outcomes. Commission is set to 0.05 percent per round which is realistic for many crypto venues. Adjust to your own broker or exchange. Slippage is set at 10 in the publication . Introduce slippage in your own tests or use a percent model. Position size should respect sustainable risk envelopes. Risking more than five to ten percent per trade is rarely viable. The example uses a fixed two percent position size. Security calls use lookahead off. Standard candles only. Non standard chart types like Heikin Ashi or Renko are not supported for strategies that submit orders. 12. Suggested research workflow Begin with the balanced defaults. Confirm that the trade count is sensible for your timeframe and symbol. As a rough guide, aim for at least one hundred trades across a wide sample for statistical comfort. If your timeframe cannot produce that count, complement with multiple symbols or run longer history. Sweep entry and exit thresholds on a small grid and observe stability. Stability across windows matters more than the single best value. Try one higher timeframe blend with a modest weight. Large weights can drown the signal. Vary aar_mult and drag_mult together. This tunes the aggression of breakouts versus defense in chop. Evaluate whether dynamic size improves risk adjusted results for your style. If not, set floor equal to cap for constancy. Walk forward through disjoint segments and inspect results by regime. Bootstrapping or segmented evaluation can reveal sensitivity to specific periods. 13. How to read the HUD and heat map The HUD presents a compact view. Score is the current fused value. Trend is the directional entropy channel. Drift is the compounding quality channel. Tail is the burst flow channel. AAR is the current unit that scales stops and the drift map. CD is the cooldown counter. The background heat is a visual aid only. It can be disabled in inputs. Green zones near the upper band show alignment among the channels. Muted colors near the mid band show uncertainty. 14. Frequently asked questions Can I use this as a pure indicator . Yes. Disable entries by restricting direction to one side you will not trade and use the alerts as a regime switch. Will it work on intraday charts . Yes. The AAR unit scales with bar size. You will likely reduce the core window and increase cooldown slightly. Should I enable the adaptive trail . If you wish to lock gains sooner and accept more exits, enable it. If you prefer to let the exit gate do the heavy lifting, keep it off. Why do I sometimes see a green background without a position . Heat expresses the score. A position also depends on threshold comparisons, direction mode, and cooldown. Why is Order size set to one hundred percent if dynamic size is on . The script passes an explicit quantity percent on each entry. That explicit quantity overrides the property. The property is kept at one hundred percent to avoid confusion when users later disable dynamic sizing. Can I combine this with other tools on my chart . You can, yet for publication the chart is kept clean so users and moderators can see the output clearly. In your private workspace feel free to add other context. 15. Concepts glossary AAR . Average absolute return across the lookback. Serves as a unit for tails, drift scaling, and stops. Directional entropy . A measure of uncertainty of up versus down closes. Low entropy paired with a directional sign signals unanimity. Geometric mean growth . Rate that preserves the effect of compounding over many bars. Drag . The positive difference between arithmetic pace and geometric growth. Larger drag often signals churn that looks active but fails to compound. Thermo stops . Stops expressed in the same AAR unit as the signal. They adapt with volatility and keep risk and signal on a common scale. Adaptive centering . A bias correction that recenters the fused score around neutral so the meter does not drift due to persistent skew. 16. Educational notice and risk statement Markets involve risk. This publication is for education and research. It does not provide financial advice and it is not a recommendation to buy or sell any instrument. Use realistic costs. Validate ideas with out of sample testing and with conservative position sizing. Past performance never guarantees future results. 17. Final notes for readers and moderators The goal of this strategy is clarity and portability. Clarity comes from a single score that reflects three independent features of the tape. Portability comes from self scaling units that respect structure across assets and timeframes. The publication keeps the chart clean, explains the math plainly, lists defaults and Properties used, and includes warnings where care is required. The code is protected so the implementation remains consistent for the community while the description remains complete enough for users to understand its purpose and for moderators to evaluate originality and usefulness. If you explore variants, keep them self contained, explain exactly what they contribute, publish in English first, and treat others with respect in the comments. Load the strategy on BTCUSD daily with the defaults listed above and study how the score transitions across regimes. Then adjust one lever at a time. Observe how the trend channel, the drift channel, and the tail channel interact during starts, pauses, and reversals. Use the alerts as a risk switch inside your own process or let the built in entries and exits run if you prefer an automated study. The intent is not to promise outcomes. The intent is to give you a robust meter for regime strength that travels well across markets and helps you structure decisions with more confidence. Thank you for your time to read all of this
Pine Script®策略
由exlux提供
Pump-Smart Shorting StrategyThis strategy is built to keep your portfolio hedged as much as possible while maximizing profitability. Shorts are opened after pumps cool off and on new highs (when safe), and closed quickly during strong upward moves or if stop loss/profit targets are hit. It uses visual overlays to clearly show when hedging is on, off, or blocked due to momentum, ensuring you’re protected in most market conditions but never short against the pump. Fast re-entry keeps the hedge active with minimal downtime. Pump Detection: RSI (Relative Strength Index): Calculated over a custom period (default 14 bars). If RSI rises above a threshold (default 70), the strategy considers the market to be in a pump (strong upward momentum). Volume Spike: The current volume is compared to a 20-bar simple moving average of volume. If it exceeds the average by 1.5× and price increases at least 5% in one bar, pump conditions are triggered. Price Jump: Measured by (close - close ) / close . A single-bar change > 5% helps confirm rapid momentum. Pump Zone (No Short): If any of these conditions is true, an orange or red background is shown and shorts are blocked. Cooldown and Re-Entry: Cooldown Detection: After the pump ends, RSI must fall below a set value (default ≤ 60), and either volume returns towards average or price momentum is less than half the original spike (oneBarUp <= pctUp/2). barsWait Parameter: You can specify a waiting period after cooldown before a short is allowed. Short Entry After Pump/Cooldown: When these cooldown conditions are met, and no short is active, a blue background is shown and a short position is opened at the next signal. New High Entry: Lookback New High: If the current high is greater than the highest high in the last N bars (default 20), and pump is NOT active, a short can be opened. Take Profit (TP) & Stop Loss (SL): Take Profit: Short is closed if price falls to a threshold below the entry (minProfitPerc, default 2%). Stop Loss: Short is closed if price rises to a threshold above the entry (stopLossPerc, default 6%). Preemptive Exit: Any time a pump is detected while a short position is open, the strategy closes the short immediately to avoid losses. Visual Feedback: Orange Background: Market is pumping, do not short. Red Background: Other conditions block shorts (cooldown or waiting). Blue Background: Shorts allowed. Triangles/Circles: Mark entries, pump start/end, for clear trading signals.
Pine Script®策略
由ValentinMihov提供
MAUL RSI Gaussian Filter MACD Gaussian Filter MACD — Strategy (with RSI Gate) A momentum-first, chop-aware strategy built on a Gaussian-smoothed MACD with an optional RSI threshold filter. It looks for clean transitions in trend and ignores half-hearted wiggles around the zero line. You choose how signals are confirmed and whether shorts are allowed—no clutter, just deliberate entries and exits. What it does (at a glance) Confirms momentum using a smoothed MACD and a selectable signal mode. Optional RSI gate to avoid low-quality breakouts. Flexible source options (incl. Heikin-Ashi families) to match your charting style. Long-only by default; shorts are an option. Built-in alerts for entries/exits. How to use Add to chart and select your preferred signal mode. Toggle the RSI gate and set your threshold to filter weak setups. Forward-test across symbols/timeframes; then walk it into live with conservative sizing. Notes The parameters and internals are intentionally locked to protect IP and avoid over-fitting by casual copycats. Works best on liquid symbols with consistent session structure. Risk Backtests are not a promise. Markets are noisy, slippage is real, and capital at risk should be sized accordingly. Use with sound risk management and a clear exit plan.
Pine Script®策略
由pjmauldin提供
4hr / BTCBTCUSDT.P / 4hr 趨勢線交易策略 設定可以如我圖表 也可以自己找合適的 測試請用最大虧損的三倍金額下去打 圖以含手續費(0.06%) 可以用小金額去打 最大淨利與最大虧損績效比 1:10 平均獲利/虧損盈虧比 2.135 長期放保證獲利 沒獲利或獲利較小的那年通常是大事件 如2022 有問題私訊 謝謝 BTCUSDT.P / 4hr Trendline Trading Strategy You can set it up the same way as shown on my chart, or find your own suitable setup. For testing, please use three times the maximum loss as your trading capital. The chart should include fees (0.06%). You can trade with a small amount. Performance: Maximum profit to maximum loss ratio: 1:10 Average profit/loss ratio: 2.135 Guaranteed profit in the long term Years with no profit or smaller profit are usually caused by major events, such as 2022. If you have any questions, please DM me. Thank you.
Pine Script®策略
由zxc3132762提供