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Ace Algo [Anson5129]🏆 Exclusive Indicator: Ace Algo 📈 Works for stocks, forex, crypto, indices 📈 Easy to use, real-time alerts, no repaint 📈 No grid, no martingale, no hedging 📈 One position at a time ---------------------------------------------------------------------------------------- Ace Algo A trend-following TradingView strategy using a confluence of technical indicators and time-based rules for structured long/short entries and exits: ---------------------------------------------------------------------------------------- Parameters Explanation Moving Average Length Indicates the number of historical data points used for the average price calculation. Shorter = volatile (short-term trends); longer = smoother (long-term trends, less noise). Default: 20 Entry delay in bars After a trade is closed, delay the next entry in bars. The lower the number, the more trades you will get. Default: 4 Take Profit delay in bars After a trade is opened, delay the take profit in bars. The lower the number, the more trades you will get. Default: 3 Enable ADX Filter No order will be placed when ADX < 20 Default: Uncheck Block Period Set a block period during which no trading will take place. ---------------------------------------------------------------------------------------- Entry Condition: Only Long when the price is above the moving average (Orange line). Only Short when the price is below the moving average (Orange line). * Also, with some hidden parameter that I set in the backend. Exit Condition: When getting profit: Trailing Stop Activates after a position has been open for a set number of bars (to avoid premature exits). When losing money: In a long position, when the price falls below the moving average, and the conditions for a short position are met, the long position will be closed, and the short position will be opened. In a short position, when the price rises above the moving average, and the conditions for a long position are met, the short position will be closed, and the long position will be opened. ---------------------------------------------------------------------------------------- How to get access to the strategy Read the author's instructions on the right to learn how to get access to the strategy.
Pine Script® strategy
by anson5129
1
Momentum Quality Index Strategyfiles.fm Welcome to the Momentum Quality Index Strategy! This is a fairly conservative strategy with a sharp criteria for entries and taking profits. This strategy has been tested amongst the top 50 stocks with volatility over 2%, and the verdict was that the profitability was often times over 85% profitability, often times reaching over 90% profitability. This strategy thrives in more volatile environments, often times beating the buying and holding strategy YTD performance by large margins. This strategy is highly optimized for the 30 minute chart, giving insights into shorter term movements. It is based on cash trades of $1,000 per position, with a maximum of 4 trades being placed at once. This strategy is optimized for common stock trading in more liquid markets, and not yet optimized for options trading (however I plan on developing highly profitable strategies for this purpose soon). The take profit is customizable. I would refer to the image link I have posted at the top of this article for the strategy's effectiveness. The strategy report on this article isn't accurate, as this strategy is based on trading $1,000 per trade, therefore over longer term periods of time will not be as successful due to the fact that there is no compounding. However, over the course of smaller time frames (such as one year), it beats buying and holding of many assets. This strategy is meant for day trading and short term swing trading, and is not meant to beat buying and holding of successful assets over the course of long periods of time.
Pine Script® strategy
by tradequam
BTC DCA Risk Metric StrategyBTC DCA Risk Strategy - Automated Dollar Cost Averaging with 3Commas Integration Overview This strategy combines the proven Oakley Wood Risk Metric with an intelligent tiered Dollar Cost Averaging (DCA) system, designed to help traders systematically accumulate Bitcoin during periods of low risk and take profits during high-risk conditions. Key Features 📊 Multi-Component Risk Assessment 4-Year SMA Deviation: Measures Bitcoin's distance from its long-term mean 20-Week MA Analysis: Tracks medium-term momentum shifts 50-Day/50-Week MA Ratio: Captures short-to-medium term trend strength All metrics are normalized by time to account for Bitcoin's maturing market dynamics 💰 3-Tier DCA Buy System Level 1 (Low Risk): Conservative entry with base allocation Level 2 (Lower Risk): Increased allocation as opportunity improves Level 3 (Extreme Low Risk): Maximum allocation during rare buying opportunities Buys execute every bar while risk remains below thresholds, enabling true DCA accumulation 📈 Progressive Profit Taking Sell Level 1: Take initial profits as risk increases Sell Level 2: Scale out further positions during elevated risk Sell Level 3: Final exit during extreme market conditions Sell levels automatically reset when new buy signals occur, allowing flexible re-entry 🤖 3Commas Integration Fully automated webhook alerts for Custom Signal Bots JSON payloads formatted per 3Commas API specifications Supports multiple exchanges (Binance, Coinbase, Kraken, Gemini, Bybit) Configurable quote currency (USD, USDT, BUSD) How It Works The strategy calculates a composite risk metric (0-1 scale): 0.0-0.2: Extreme buying opportunity (green zone) 0.2-0.5: Favorable accumulation range (yellow zone) 0.5-0.8: Neutral to cautious territory (orange zone) 0.8-1.0+: High risk, profit-taking zone (red zone) Buy Logic: As risk decreases, position sizes increase automatically. If risk drops from L1 to L3 threshold, the strategy combines all three tier allocations for maximum exposure. Sell Logic: Sequential profit-taking ensures you capture gains progressively. The system won't advance to Sell L2 until L1 completes, preventing premature full exits. Configuration Risk Metric Parameters: All calculations use Bitcoin price data (any BTC chart works) Time-normalized formulas adapt to market maturity No manual parameter tuning required Buy Settings: Set risk thresholds for each tier (default: 0.20, 0.10, 0.00) Define dollar amounts per tier (default: $10, $15, $20) Fully customizable to your risk tolerance and capital Sell Settings: Configure risk thresholds for profit-taking (default: 1.00, 1.50, 2.00) Set percentage of position to sell at each level (default: 25%, 35%, 40%) 3Commas Setup: Create a Custom Signal Bot in 3Commas Copy Bot UUID and Secret Token into strategy inputs Enable 3Commas Alerts checkbox Create TradingView alert: Condition → "alert() function calls only", Webhook → api.3commas.io Backtesting Results Strengths: Systematically buys dips without emotion Averages down during extended bear markets Captures explosive bull run profits through tiered exits Pyramiding (1000 max orders) allows true DCA behavior Considerations: Requires sufficient capital for multiple buys during prolonged downtrends Backtest on Daily timeframe for most reliable signals Past performance does not guarantee future results Visual Design The indicator pane displays: Color-coded risk metric line: Changes from white→red→orange→yellow→green as risk decreases Background zones: Green (buy), yellow (hold), red (sell) areas Dashed threshold lines: Clear visual markers for each buy/sell level Entry/Exit labels: Green buy labels and orange/red sell labels mark all trades Credits Original Risk Metric: Oakley Wood Strategy Development & 3Commas Integration: Claude AI (Anthropic) Modifications: pommesUNDwurst Disclaimer This strategy is for educational and informational purposes only. Cryptocurrency trading carries substantial risk of loss. Always conduct your own research and never invest more than you can afford to lose. The authors are not financial advisors and assume no responsibility for trading decisions made using this tool.
Pine Script® strategy
by nakphanan
US Market Long Horizon Momentum Summary in one paragraph US Market Long Horizon Momentum is a trend following strategy for US index ETFs and futures built around a single eighteen month time series momentum measure. It helps you stay long during persistent bull regimes and step aside or flip short when long term momentum turns negative. Scope and intent • Markets. Large cap US equity indices, liquid US index ETFs, index futures • Timeframes. 4h/ Daily charts • Default demo used in the publication. SPY on 4h timeframe chart • Purpose. Provide a minimal long bias index timing model that can reduce deep drawdowns and capture major cycles without parameter mining • Limits. This is a strategy. Orders are simulated on standard candles only Originality and usefulness • Unique concept or fusion. One unscaled multiple month log return of an external benchmark symbol drives all entries and exits, with optional volatility targeting as a single risk control switch. • Failure mode addressed. Fully passive buy and hold ignores the sign of long horizon momentum and can sit through multi year drawdowns. This script offers a way to step down risk in prolonged negative momentum without chasing short term noise. • Testability. All parameters are visible in Inputs and the momentum series is plotted so users can verify every regime change in the Tester and on price history. • Portable yardstick. The log return over a fixed window is a unit that can be applied to any liquid symbol with daily data. Method overview in plain language The method looks at how far the benchmark symbol has moved in log return terms over an eighteen month window in our example. If that long horizon return is positive the strategy allows a long stance on the traded symbol. If it is negative and shorts are enabled the strategy can flip short, otherwise it goes flat. There is an optional realised volatility estimate on the traded symbol that can scale position size toward a target annual volatility, but in the default configuration the model uses unit leverage and only the sign of momentum matters. Base measures Return basis. The core yardstick is the natural log of close divided by the close eighteen months ago on the benchmark symbol. Daily log returns of the traded symbol feed the realised volatility estimate when volatility targeting is enabled. Components • Component one Momentum eighteen months. Log of benchmark close divided by its close mom_lookback bars ago. Its sign defines the trend regime. No extra smoothing is applied beyond the long window itself. • Component two Realised volatility optional. Standard deviation of daily log returns on the traded symbol over sixty three days. Annualised by the square root of 252. Used only when volatility targeting is enabled. • Optional component Volatility targeting. Converts target annual volatility and realised volatility into a leverage factor clipped by a maximum leverage setting. Fusion rule The model uses a simple gate. First compute the sign of eighteen month log momentum on the benchmark symbol. Optionally compute leverage from volatility. The sign decides whether the strategy wants to be long, short, or flat. Leverage only rescales position size when enabled and does not change direction. Signal rule • Long suggestion. When eighteen month log momentum on the benchmark symbol is greater than zero, the strategy wants to be long. • Short suggestion. When that log momentum is less than zero and shorts are allowed, the strategy wants to be short. If shorts are disabled it stays flat instead. • Wait state. When the log momentum is exactly zero or history is not long enough the strategy stays flat. • In position. In practice the strategy sits IN LONG while the sign stays positive and flips to IN SHORT or flat only when the sign changes. Inputs with guidance Setup • Momentum Lookback (months). Controls the horizon of the log return on the benchmark symbol. Typical range 6 to 24 months. Raising it makes the model slower and more selective. Lowering it makes it more reactive and sensitive to medium term noise. • Symbol. External symbol used for the momentum calculation, SPY by default. Changing it lets you time other indices or run signals from a benchmark while trading a correlated instrument. Logic • Allow Shorts. When true the strategy will open short positions during negative momentum regimes. When false it will stay flat whenever momentum is negative. Practical setting is tied to whether you use a margin account or an ETF that supports shorting. Internal risk parameters (not exposed as inputs in this version) are: • Target Vol (annual). Target annual volatility for volatility targeting, default 0.2. • Vol Lookback (days). Window for realised volatility, default 63 trading days. • Max Leverage. Cap on leverage when volatility targeting is enabled, default 2. Usage recipes Swing continuation • Signal timeframe. Use the daily chart. • Benchmark symbol. Leave at SPY for US equity index exposure. • Momentum lookback. Eighteen months as a default, with twelve months as an alternative preset for a faster swing bias. Properties visible in this publication • Initial capital. 100000 • Base currency. USD • Default order size method. 5% of the total capital in this example • Pyramiding. 0 • Commission. 0.03 percent • Slippage. 3 ticks • Process orders on close. On • Bar magnifier. Off • Recalculate after order is filled. Off • Calc on every tick. Off • All request.security calls use lookahead = barmerge.lookahead_off Realism and responsible publication The strategy is for education and research only. It does not claim any guaranteed edge or future performance. All results in Strategy Tester are hypothetical and depend on the data vendor, costs, and slippage assumptions. Intrabar motion is not modeled inside daily bars so extreme moves and gaps can lead to fills that differ from live trading. The logic is built for standard candles and should not be used on synthetic chart types for execution decisions. Performance is sensitive to regime structure in the US equity market, which may change over time. The strategy does not protect against single day crash risk inside bars and does not model gap risk explicitly. Past behavior of SPY and the momentum effect does not guarantee future persistence. Honest limitations and failure modes • Long sideways regimes with small net change over eighteen months can lead to whipsaw around the zero line. • Very sharp V shaped reversals after deep declines will often be missed because the model waits for momentum to turn positive again. • The sample size in a full SPY history is small because regime changes are infrequent, so any test must be interpreted as indicative rather than statistically precise. • The model is highly dependent on the chosen lookback. Users should test nearby values and validate that behavior is qualitatively stable. Legal Education and research only. Not investment advice. You are responsible for your own decisions. Always test on historical data and in simulation with realistic costs before any live use.
Pine Script® strategy
by exlux
Trend Signal MomentumOVERVIEW Signal Trend Momentum is a hybrid strategy that combines multiple confirmations and filters to obtain better potential trading signals. Each confirmation and filter in Signal Trend Momentum aims to avoid possible false and trap signals. HYBRID CONCEPTS Smart Money Concept – This indicator forms market structure and Bullish & Bearish Order Block areas to make it easier to identify market trends and strong areas where price reversals often occur. Its purpose is to simplify recognizing market direction and serve as the first confirmation. MSS + BOS (Market Structure Shift + Break of Structure) – This indicator serves as additional confirmation for the Smart Money Concept. With the presence of two types of market structure, the market trend direction becomes clearer and more convincing. RSI Momentum Signal – This indicator becomes the third confirmation. When the Market Trend is clear and convincing, supported by the formation of Bearish and Bullish Order Blocks, the role of the Momentum Signal here becomes crucial as it provides trend momentum based on overbought and oversold areas. Momentum Position – This indicator becomes the next confirmation based on buyer and seller VOLUME in the market. If buyer volume is higher, the momentum position will be depicted on the chart with an upward arrow, and conversely, if seller volume is higher, it will be depicted with a downward arrow. SnR (Support and Resistance) – This final indicator is Support and Resistance, which will serve as the last and more convincing confirmation. Support and Resistance will strengthen the Order Block areas formed by the Smart Money Concept indicator. A Bullish Order Block + Support creates a higher possibility for an upward trend in the market, conversely, a Bearish Order Block + Resistance creates a higher possibility for a downward trend in the market. The combination of these several indicators will provide a strong market direction + persistent buyer and seller areas, as well as depict momentum based on volume + RSI which serve as additional confirmations. These additional confirmations will produce stronger signals and help avoid false and trap signals in the market. HOW TO USE A SHORT SIGNAL will be strong if there is a Downtrend Market Structure + Bearish Order Block + Resistance + Oversold RSI Momentum + Strong Seller Volume Momentum. A LONG SIGNAL will be strong if there is an Uptrend Market Structure + Bullish Order Block + Support + Overbought RSI Momentum + Strong Buyer Volume Momentum. CONCLUSION Signal Trend Momentum is a combination of several powerful indicators designed to produce stronger, clearer, and easier-to-read signals. This strategy is highly suitable for traders seeking more convincing trade signals based on multiple confirmations from the combined indicators, thereby creating a strong signal with a higher probability.
Pine Script® strategy
by AryantoH
Strategy: HMA 50 + Supertrend SniperHMA 50 + Supertrend Confluence Strategy (Trend Following with Noise Filtering) Description: Introduction and Concept This strategy is designed to solve a common problem in trend-following trading: Lag vs. False Signals. Standard Moving Averages often lag too much, while price action indicators can generate false signals during choppy markets. This script combines the speed of the Hull Moving Average (HMA) with the volatility-based filtering of the Supertrend indicator to create a robust "Confluence System." The primary goal of this script is not just to overlay two indicators, but to enforce a strict rule where a trade is only taken when Momentum (HMA) and Volatility Direction (Supertrend) are in perfect agreement. Why this combination? (The Logic Behind the Mashup) Hull Moving Average (HMA 50): We use the HMA because it significantly reduces lag compared to SMA or EMA by using weighted calculations. It acts as our primary Trend Direction detector. However, HMA can be too sensitive and "whipsaw" during sideways markets. Supertrend (ATR-based): We use the Supertrend (Factor 3.0, Period 10) as our Volatility Filter. It uses Average True Range (ATR) to determine the significant trend boundary. How it Works (Methodology) The strategy uses a boolean logic system to filter out low-quality trades: Bullish Confluence: The HMA must be rising (Slope > 0) AND the Close Price must be above the Supertrend line (Uptrend). Bearish Confluence: The HMA must be falling (Slope < 0) AND the Close Price must be below the Supertrend line (Downtrend). The "Choppy Zone" (Noise Filter): This is a unique feature of this script. If the HMA indicates one direction (e.g., Rising) but the Supertrend indicates the opposite (e.g., Downtrend), the market is considered "Choppy" or indecisive. In this state, the script paints the candles or HMA line Gray and exits all positions (optional setting) to preserve capital. Visual Guide & Signals To make the script easy to interpret for traders who do not read Pine Script, I have implemented specific visual cues: Green Cross (+): Indicates a LONG entry signal. Both HMA and Supertrend align bullishly. Red Cross (X): Indicates a SHORT entry signal. Both HMA and Supertrend align bearishly. Thick Line (HMA): The main line changes color based on the trend. Green: Bullish Confluence. Red: Bearish Confluence. Gray: Divergence/Choppy (No Trade Zone). Thin Step Line: This is the Supertrend line, serving as your dynamic Trailing Stop Loss. Strategy Settings HMA Length: Default is 50 (Mid-term trend). ATR Factor/Period: Default is 3.0/10 (Standard for trend catching). Exit on Choppy: A toggle switch allowing users to decide whether to hold through noise or exit immediately when indicators disagree. Risk Warning This strategy performs best in trending markets (Forex, Crypto, Indices). Like all trend-following systems, it may experience drawdown during prolonged accumulation/distribution phases. Please backtest with your specific asset before using it with real capital.
Pine Script® strategy
by Gustav_Rex
3
Empire OS Automated Trading • Institutional-grade executionEmpire OS – 9/40 EMA Dynamic Momentum Strategy This strategy isn’t just EMAs — it’s a dynamic entry and exit system built around real-time price behavior. The 9/40 EMA setup gives the base trend direction, and the internal engine calculates every entry, stop, and target using recent price action and a 14-ATR volatility model. Everything adjusts automatically: • Entries react to momentum shifts based on the 9/40 EMA separation • Stops tighten or widen based on the current 14-ATR reading • Targets scale with real market volatility (not fixed numbers) • Risk-to-Reward is calculated on the fly for cleaner, stronger trades • Exits are based on structure + volatility, not random lines Most strategies use fixed stops, fixed R:R, or standard EMA pairs that anyone can copy. This one adapts to the market in real time — making every trade unique to current conditions. It’s rare because almost nobody builds a retail strategy that: Uses a non-standard 9/40 EMA combo Calculates stops + targets off real volatility Adjusts risk reward based on live price activity Filters entries through momentum AND price structure Keeps drawdown tight while catching high-quality moves This is the official Empire OS version — built for consistency, momentum accuracy, and prop-firm scalability.
Pine Script® strategy
by Empire-OS-Trading
XAU BUY/SELL Scalping Strategy M5 PROFX:XAUUSD This XAU/USD Pro Scalping Strategy is tailored specifically for the M5 timeframe , designed to capture rapid Gold price movements. Instead of relying on lagging indicators, this system utilizes advanced Price Action and Market Structure analysis to identify high-probability entry zones. The core strength of this strategy lies in its built-in Money Management engine and Multi-threaded Trailing Stop system, ensuring capital preservation and profit maximization. 🚀 Key Features: 1. Smart Price Action Recognition: The algorithm scans for specific market scenarios to apply dynamic Risk:Reward ratios (ranging from 1:1 to 1:3). Filters out noise and false breakouts using multi-candle analysis. Auto Position Sizing: Calculates trade quantity automatically based on your defined Risk % per Trade . Ensures consistent risk management regardless of the Stop Loss distance. Intelligent Trailing Stop: Uses a dynamic trailing mechanism based on "R" multiples (Risk Units). Automatically secures profits by moving SL based on the specific setup type ("Case") of each trade. Safety Filters: Min SL and Max SL inputs prevent trades during periods of extremely low volatility or excessive risk. ⚙️ Settings: Risk % per Trade: The percentage of equity to risk per trade (Recommended: 1.0% - 2.0%). Min/Max SL Points: Dynamic boundaries for Stop Loss to adapt to current market volatility. 💡 Recommendations: Symbol: XAUUSD / Gold - FXCM. Timeframe: M5. Best performance during London and New York sessions.
Pine Script® strategy
by vincent-301
Logic Flow Signals & Backtest [bercutiatia]To understand the advanced logic of the tool, it is essential that you carefully read each topic and check the visual examples in this presentation. -- Who is the Logic Flow Signals & Backtest tool recommended for? Ideal for traders looking to increase the reliability and level of their operations. Recommended for those who want to create rigorous confluences, validate strategies with backtesting, and transform emotional management into systematic and measurable processes. How can the Logic Flow Signals & Backtest tool help me? High-confidence signals! You combine TradingView indicators and create a single robust signal, eliminating the frustration of having to spend hours in front of the chart and still clicking at the wrong time. This ensures that your entry is validated by logic, not emotional impulse. -- Logic Flow Signals & Backtest is a versatile and powerful tool designed to test and validate your trading ideas with indicators from the TradingView community. Extreme flexibility: Allows you to combine indicators available on TradingView (EMAs, RSI, MACD, SMC, etc.) to create custom entry and exit logics. Sequential Logic: Goes far beyond simple crossovers. You can define rules where signal A must occur before signal B — and, if desired, before signal C or D — to validate an entry. Add time, order, and context filters, creating truly intelligent sequential logic that generates a single final alert only when all conditions align. With Stages (Stage 1, Stage 2, etc.), your entries follow the exact sequence you define. And the best part: you no longer need to spend hours in front of the chart waiting for confluences. Simply set up your stages once, create an alert in TradingView, and the system will automatically notify you when the ideal combination of signals occurs. Sequence Invalidation: Offers the option to define conditions that, if they occur, immediately cancel an ongoing entry sequence, helping to avoid entries in unfavorable scenarios. Explaining the first image example (chart below): LONG INDICATOR 1 (Stage 1): The market confirms a change in character (CHoCH Bullish). The system enters an alert state awaiting the confluence of the next indicators. LONG INDICATOR 2 and 3 (Stage 2): Entry is only released when the SMA17 crosses above the SMA72 (indicator 2), but with one condition: The SMA72 must be ABOVE the SMA305 (indicator 3); Without this alignment of indicator 3, the signal of indicator 2 does not occur. LONG INDICATOR 4 (Invalidation Rule): If at any point in the sequence the SMA72 crosses below the SMA305, the setup is immediately canceled and no entry signal is generated. The sequence restarts with indicator 1. EXIT LONG (Hybrid Exit TP + SIGNAL): The trade seeks a TP target of 1000 ticks, but has a technical "Trailing Stop": if the trend reverses (Exit Long Indicator 1 = SMA72 crosses below the SMA305) before the target, the position is closed to protect capital. SHORT INDICATOR 1 (Stage 1): Identification of weakness in the market with a Bearish CHoCH. SHORT INDICATOR 2 and 3 (Stage 2): Entry is only released when the SMA17 crosses below the SMA72 (indicator 2), but with a strict condition: The SMA72 must be BELOW the SMA305 (indicator 3); Without this STATE of indicator 3, the signal from indicator 2 does not occur. SHORT INDICATOR 4 (Invalidation Rule): If at any point in the sequence the SMA72 crosses above the SMA305, the setup is immediately canceled and no entry signal is generated. The sequence starts again with indicator 1. EXIT SHORT (Hybrid Exit TP + SIGNAL): The trade seeks a target of 1000 ticks, but has a technical "Trailing Stop": if the downtrend reverses (Exit Short Indicator 1 = SMA72 crosses above the SMA305) before the target, the position is closed to protect capital. In this strategy, we use the external indicators: Multiple MTF MA and Smart Money Concepts (Advanced) -- Stage Duration: In STAGE DURATION , you control the maximum time (in candles) allowed for each transition between stages to occur. If the time limit expires before the next stage is reached, the sequence is reset. Keep it at 0 to disable the time limit. The "Stage Duration" function is available in four separate blocks on the settings panel: - LONG - STAGE DURATION: Controls the time limit (in candles) between Long entry stages (for example from Stage 1 to Stage 2). - LONG EXIT - STAGE DURATION: Controls the time limit between Long exit stages. - SHORT - STAGE DURATION: Controls the time limit between Short entry stages. - SHORT EXIT - STAGE DURATION: Controls the time limit between Short exit stages. Explaining the second image example (chart below): Stage 1 (INDICATOR 1): New Fair Value Gap (FVG) Bullish Confirmed. - Meaning: The move starts with a bullish FVG (Fair Value Gap), indicating a confirmed imbalance where buyers were much more aggressive than sellers. Stage 2 (INDICATOR 2): EMA10 crossing above the EMA50. - Meaning: Immediately after the FVG trigger, the fast moving average (10 periods) crosses the intermediate moving average (50 periods). This confirms that the initial FVG impulse was not an isolated event but the beginning of a short-term trend. Stage 3: In this final stage, we require two simultaneous confirmations to validate the entry: - INDICATOR 3: The EMA10 crosses above the EMA100, indicating that the movement has enough strength to break through larger barriers. - INDICATOR 4: The RSI must be above its own moving average (SMA14). This ensures the asset is gaining momentum at the exact moment the averages are broken, avoiding entries in "tired" markets. Stage Duration: The most important feature of this setup is the restricted time window. - Rule: From Stage 1 to 2, and from Stage 2 to 3, the maximum interval to accept confluences is only 3 candles. - Why this is vital? If the market took 20 candles to align these conditions, it would indicate weakness or indecision. By demanding that everything happens within a maximum of 3 candles per step, the setup filters only the moves where buying pressure is urgent and aggressive, increasing the probability of an explosive move in favor of the trade. Asymmetric Risk Management: To complement a high-probability and high-pressure setup, we use aggressive risk management: - Stop Loss (Technical/Short): 200 Ticks. If the buying pressure fails quickly, we exit early with a small loss. - Take Profit (Long Target): 1000 Ticks. We aim to ride the impulse "leg" that the setup identified. - Risk/Reward: 5:1. This means a single winning trade covers five losing trades, making the strategy mathematically viable in the long term. In this strategy, we use the external indicators: Multiple MTF MA , Smart Money Concepts (Advanced) and Relative Strength Index (RSI) . -- Multiple Operating Modes It is not limited to sequences. It can operate by confluence (where all signals must be valid at the same time), by single trigger (only one signal is required), or by "OR" logic (any one of the defined signals). - If you use only Stage 1 in more than one indicator session, the entry will only occur if all enabled conditions are true simultaneously. - Any condition defined as OR can trigger the entry by itself. - If only one condition block is enabled, the single indicator will function as a simple signal. Multiple and Simultaneous Exits It allows for the configuration of exits by both indicators and TP/SL targets. The strategy will close the trade as soon as any of these conditions are met first (indicator signal, profit target, or loss limit Integrated Risk Management It includes Stop Loss and Take Profit exits by percentage and ticks, which are easy to configure and essential for risk management. The strategy calculates the exact TP and SL prices based on your entry price and monitors the market on every tick. Explaining the Third Image Example (Chart Below) The move was validated by a 4-step logical sequence (Stage 1) and managed by a hybrid exit system. Short Indicator 1, 2, and 3: The price (Close) crossed below the SMA200, SMA72, and SMA17 averages simultaneously. - What this means: When a single candle has the strength to break below the short-term (17), mid-term (72), and long-term (200) averages, it indicates a high probability for the price to seek lower levels. To reinforce Indicators 1 through 3, we added an extra layer of confirmation. Short Indicator 4: The Positive Volume Index (PVI) needed to be below its own long-term average (EMA300). - Why this is important: PVI below the average confirms that selling volume is dominant, validating that the break of the averages was not just noise. Triple Exit Management (Maximum Security) The great advantage of this tool is the ability to manage risk dynamically. In this trade, we configured three simultaneous exit conditions, where the first one to be met closes the position: 1. Financial Target (TP): A fixed Take Profit of 15%. 2. Exit Short Indicator 1 (Technical Exit 1): If the average (SMA72) crosses above the average (SMA200), the trade is closed. 3. Exit Short Indicator 2 (Technical Exit 2): If the PVI crosses above the EMA300, indicating an entry of buying strength, the trade is closed. "OR" Logic: The tool monitors these conditions in real-time. Whichever occurs first triggers the exit, ensuring you lock in profit (TP) or protect your capital at the first sign from the indicators. In this strategy, we use the external indicators: Multiple MTF MA and Positive Volume Index . -- Reversal Mode (Stop and Reverse) The Reversal Mode (Stop and Reverse) allows a new signal in the opposite direction (e.g., a SELL signal) to automatically close an existing position (e.g., BUY) and open a new one (sell). This "stop and reverse" function can be enabled or disabled in the settings, giving you full control over whether the strategy should only exit (awaiting a new signal) or immediately reverse the position. Explaining the Fourth Image Example (Chart Below) In this example, we demonstrate a setup focused on capturing every market "flip," keeping the trader positioned 100% of the time ("Always-in"), a technique widely used in automation. - Long Entry: Occurs immediately upon confirming a bullish change of character (New CHoCH Bullish). - Short Entry: Occurs immediately upon confirming a bearish change of character (New CHoCH Bearish). - Exit (The Differentiator): We are not using fixed TP or SL here. The exit is triggered by Automatic Reversal. The Power of "Exit by Opposite Signal" Notice the labels on the chart: "Close Short" followed immediately by a "Long." This happens because the Allow Reversal function is enabled in the tool's settings. When the market generates a buy signal, the tool understands that the sell thesis has been invalidated. It simultaneously sends an order to close the Short position and open a new Long position. When to use this exit rule? - Capturing Long Trends / Directional Movements: Ideal for volatile assets where you want to ride the trend until the market structure effectively changes. - Operational Simplification: Eliminates the need to guess profit targets and acts as a loss limiter when the price moves against your position. The market dictates when to enter and when to exit. Hybrid Flexibility: The strongest point of Logic Flow is that you don't have to choose just one method. Reversal can be used in two ways: 1. Individually (as in the image): Reversal is the only form of exit. You stay in the move until the opposite signal. 2. Combined (Hybrid): You can enable Reversal and configure a safety Stop Loss + technical Take Profit (Exit Long/Short Indicator). - Example: If the price hits your TP/SL first, you exit. If the market turns before the TP, the Reversal takes you out of the trade and generates a new trend alert. In this strategy, we use the external indicators: Smart Money Concepts . -- Backtesting: Far beyond creating logic and generating signals, Logic Flow Signals stands out due to its Integrated Backtest. Backtesting serves as a reality check for the trader. It takes the strategy out of the realm of "imagination" and puts it to the test against historical data. Here are the 4 main practical uses: 1. Verifying Feasibility (Proof of Concept): The most obvious use is to answer: "Does this idea make money?". Many strategies look visually perfect on the chart, but when you run the backtest, you discover that brokerage fees or frequent "stops" consume all the profit. 2. Knowing the "Worst-Case Scenario" (Drawdown): Maximum Drawdown: It shows you what the largest accumulated drop the strategy has ever experienced was. By identifying a Drawdown that exceeds the desired risk tolerance, the backtest allows for parameter optimization in search of a more efficient balance between risk and return. 3. Fine-Tuning (Optimization): It allows you to make changes such as: Increasing the profit target, changing the stop, removing an indicator, changing the chart timeframe, among other actions. You can test various variations instantly to find the most efficient configuration. 4. Expectation Management and Discipline: Backtesting does not eliminate fear nor guarantee that the future will repeat the past, but it serves as a reference map. The Real Role: Aligning expectation with reality. In the image below, you can check out how a backtest result is generated: To understand the backtest results shown above, check the chart and the detailed operational logic below: This operational example seeks to identify altcoins that are demonstrating an explosive decorrelation relative to Bitcoin. The logic is: we want to buy only the assets that are outperforming the market leader, precisely at the moment when speculative money (Open Interest) heavily enters the market. For the buy signal (Long) to be triggered, three conditions must be simultaneously true (Stage 1): Long Indicator 1 (Altcoin Strength): The asset's RSI must be above the 70 level (Overbought), indicating extremely strong bullish momentum. Long Indicator 2 (Bitcoin Weakness): Bitcoin's RSI must be below the 50 level. This confirms that the Altcoin's rally is genuine and independent. Long Indicator 3 (Money Flow): The Open Interest (open contracts) must be above the Extreme level of the OI DELTA indicator. This validates that new money is aggressively entering the asset to sustain the rally. Risk Management: In this example, we configured an aggressive target to capture the altcoin volatility: - Take Profit: 100% - Stop Loss: 20% - Risk/Reward: 5:1 In this strategy, we use the external indicators: RSI Crypto Strength (Asset vs BTC) and Open Interest Delta . -- Configuring an Indicator Block Each block (BUY INDICATOR 1, BUY INDICATOR 2, ...) allows you to define a complete condition. - Enable (Activate): Simply turns this indicator block on or off. - Source A: The first value you want to analyze. example: The Closing Price (Close), Opening Price (Open), or another TradingView indicator. - Condition: How 'Source A' will be compared. example: Crossover/Crossunder, Greater Than, Less Than, Cross Up. - Comparison Type: The option that defines whether you will compare 'Source A' with a fixed number or with another indicator. - Fixed Value: Used if you selected "Fixed Value". example: For an RSI greater than 70 condition, Source A would be the RSI, the Condition would be Greater Than, and the Fixed Value would be 70. - Source B: Used if you selected "Source B". example: For a condition where the EMA10 crosses above the EMA200, Source A would be the EMA10, the Condition would be 'Cross Up', and Source B would be the EMA200. -- Configurable Alert Signals Configurable Alert Signals: The tool allows for the creation of fully customized alerts for different types of events, such as entries, signal-based exits, take profit, and stop loss. These alerts can be used for both strategy automation and manual, real-time notifications. The message field is highly flexible: it accepts dynamic placeholders, JSON structure, UUID identifiers, or any custom text, allowing integration with other external tools and systems via webhook. Configuring Your Messages: - LONG/SHORT - ALERTS: Defines the message for new entries. - LONG/SHORT INDICATOR EXIT - ALERTS: Defines the message for signal-based exits (e.g., moving average cross). - REVERSAL - ALERTS: Defines the message for when a position is closed by an opposite signal (stop-and-reverse). - LONG/SHORT TP/SL EXIT - ALERTS: Defines the message for exits triggered by take profit (TP) or stop loss (SL), via percentage or ticks. A Single Alert to Control Everything You don't need to create separate alerts for "Buy," "Sell," or "Exits." On a single screen, you can create strategies by defining entries, signal-based exits, profit targets, or stop limits. Alert Times (Operating Window) In the Alert Times section, you can define a specific time (and time zone) for the strategy to generate entry or exit signals. -- To create your alert, simply follow these steps: - Condition: Select the script name: "Logic Flow Signals & Backtest". - Message: Insert only the placeholder: {{strategy.order.alert_message}} Once this single alert is active, it will "listen" to all orders executed by the strategy. This means you can have your Long-Term, Short-Term, Signal-Based Exits, and TP/SL strategies active simultaneously. When any of these events are plotted on the chart, the script will send the customized message (which you wrote in the fields) to your single alert. -- Advanced period filters: Allow you to test the strategy in specific date ranges, over the last X days, or over the last X bars, facilitating performance analysis in different market environments. -- Status Panel: Displays a clear summary of all active rules and settings directly on the chart, facilitating the visualization and confirmation of the running logic. Additionally, it has a settings box where you can activate or deactivate the panel, choose its position (such as at the bottom or side), and adjust its size. -- The Thumbnail strategy uses the following external indicators: Multiple MTF MA and Breakout Finder . -- Final Considerations: The Logic Flow Signals & Backtest tool is a versatile and powerful system, designed to test and apply trading ideas based on multiple indicators from TradingView. Its differential is being a customization environment: the script does not have integrated graphical indicators, as the objective is precisely to allow the user to combine and integrate multiple existing indicators in the TradingView community to build unique entry and exit logics. It offers flexibility and precision, but the true value emerges when the trader integrates the tool into a consistent trading plan, with efficient risk management (Stop Loss and Take Profit), leverage control, and a professional mindset. Important: Risk of Repainting (Unstable Data): Avoid indicators that 'repaint' (those that change their values ​​in past bars after the closing of new candles). The backtest will be invalidated, and the actual performance of the strategy will fail. Legal Warning and Didactic Purpose: It is fundamental to understand that all visual examples, charts, and texts contained in this description do not constitute financial advice, buy or sell recommendations, nor a promise of easy or guaranteed gains. This is an advanced support tool, not an automatic profit system. Use the integrated backtesting to evaluate the historical behavior of strategies before real execution and understand how different market conditions impact your results. The sole purpose of this material is to demonstrate the logical and execution capacity of the script, serving as a didactic guide for you to test and validate your own ideas. Conclusion and Risk Warning: Success in financial markets comes not only from a set of charting indicators, but from the trader's understanding, practice, and discipline. Our objective is to provide a robust, customizable, and intuitive solution, created to enhance your technical analysis and broaden your strategic vision, without replacing critical thinking and conscious decision-making. Finally, remember: past results do not guarantee future performance. The real differentiator lies in continuous learning, testing, and evolution.
Pine Script® strategy
by BERCUTIATIA
Syntropy - System v4Syntropy System v4 – La Estrategia de Acumulación Profesional que Todos Están UsandoEDICIÓN LIMITADA – SOLO 10 PLAZAS DISPONIBLES EN TODO EL MUNDOPor primera (y única) vez, libero mi estrategia privada más potente: La misma que uso personalmente y que ha cambiado por completo la forma en que acumulo en Bitcoin, Ethereum y altcoins de alto potencial.¿Qué incluye Syntropy v4?8 motores de entrada independientes (PG Solo, PG+FA, RZ1/RZ2, SFP, Liquidity Sweep, STE Bottom + reentradas inteligentes) Piramidación hasta 20 niveles con control total de riesgo Medias móviles dinámicas + proyecciones extendidas Tabla en tiempo real con P&L total, capital invertido y operaciones abiertas/cerradas Señales 100% visuales y sin repintado Optimizada para cripto, pero funciona perfecto en forex y acciones OFERTA EXCLUSIVA Y POR TIEMPO MUY LIMITADOPrecio normal: 499 USD (pago único de por vida + todas las futuras actualizaciones) PRECIO LANZAMIENTO SOLO PARA LOS PRIMEROS 10 COMPRADORES: 50 USD DE POR VIDA (Sí, leíste bien: cincuenta dólares una sola vez y el indicador es tuyo para siempre)Una vez que se vendan las 10 primeras licencias, este precio desaparece para siempre y vuelve al valor real de 499 USD.Ya van 7/10 vendidas en las últimas horas…¿Quieres ser uno de los últimos 3 que se lleven Syntropy v4 a precio de lanzamiento?Envíame YA un mensaje privado con la palabra “SYNTROPY 50” y te mando el enlace de pago + acceso inmediato al script protegido.No hay prueba gratis esta vez porque a este precio es literalmente un regalo… pero sí te doy mi palabra: si en 30 días no estás 100% convencido de que es la mejor estrategia que has usado jamás, te devuelvo hasta el último centavo.Quedan muy pocas horas antes de que suba el precio para siempre.Los primeros 10 que escriban ahora se llevan el indicador de por vida por solo 50 USD. El resto pagará 10 veces más.Tú decides si estás dentro del grupo élite o te quedas mirando desde afuera.Te espero del otro lado.Aviso importante (reglas de TradingView): Este es un script privado de pago. No constituye asesoramiento financiero. Operar implica riesgo de pérdida de capital. Los resultados pasados no garantizan resultados futuros. Uso bajo tu propia responsabilidad. Syntropy System v4 – The Most Powerful Accumulation Strategy Ever ReleasedWORLDWIDE LIMITED EDITION – ONLY 10 LIFETIME SEATSFor the first and last time ever, I’m opening my personal, private strategy that I use every single day to stack Bitcoin, Ethereum, Ethereum and high-conviction altcoins.What you get with Syntropy v48 independent & complementary entry engines (PG Solo, PG+FA, RZ1/RZ2, SFP, Liquidity Sweep, STE Bottom + smart reentries) Up to 20 pyramiding levels with perfect risk scaling Dynamic moving averages + extended visual projections Real-time dashboard (total P&L, invested capital, open/closed trades) 100% visual, non-repainting signals Built for crypto, but works flawlessly on forex and stocks too INSANE LAUNCH PRICE – ONLY FOR THE FIRST 10 PEOPLENormal lifetime price: $499 (one-time payment + all future updates forever)LAUNCH PRICE – FIRST 10 BUYERS ONLY: $50 USD LIFETIME (Yes, you read that right: fifty dollars one time and the indicator is yours forever)Once these 10 licenses are gone, the price jumps permanently to $499 and will never come back down.7 out of 10 already sold in the last few hours…That leaves only 3 seats at this ridiculous price.Want to be one of the last 3 people on Earth to grab Syntropy v4 for $50 lifetime?Send me a private message RIGHT NOW with the words “SYNTROPY 50” and I’ll instantly send you the payment link + immediate access to the protected script.There is no free trial at this price (it would be insane), but I give you my personal word: If within 30 days you’re not 100% blown away and convinced this is the best strategy you’ve ever used, I’ll refund every single penny — no questions asked.The clock is ticking. In a few hours this $50 offer disappears forever.The first 10 who message me now get lifetime access for only $50. Everyone else will pay 10× more.Your move: be part of the elite 10 or watch from the sidelines.I’ll see you inside.TradingView Required Disclaimer This is a paid private script. Not financial advice. Trading involves substantial risk of loss. Past performance is no guarantee of future results. Use only capital you can afford to lose. You are solely responsible for your trading decisions.
Pine Script® strategy
by ctfnoe
2
Trendshift [CHE] StrategyTrendshift Strategy — First-Shift Structural Regime Trading Profitfactor 2,603 Summary Trendshift Strategy implements a structural regime-shift trading model built around the earliest confirmed change in directional structure. It identifies major swing highs and lows, validates breakouts through optional ATR-based conviction, and reacts only to the first confirmed shift in each direction. After a regime reversal, the strategy constructs a premium and discount band between the breakout candle and the previous opposite swing. This band is used as contextual bias and may optionally inform stop placement and position sizing. The strategy focuses on clear, interpretable structural events rather than continuous signal generation. By limiting entries to the first valid shift, it reduces false recycles and allows the structural state to stabilize before a new trade occurs. All signals operate on closed-bar logic, and the strategy avoids higher-timeframe calls to stabilize execution behavior. Motivation: Why this design? Many structure-based systems repeatedly trigger as price fluctuates around prior highs and lows. This often leads to multiple flips during volatile or choppy conditions. Trendshift Strategy addresses this problem by restricting execution to the first confirmed structural event in each direction. ATR-based filters help differentiate genuine structural breaks from noise, while the contextual band ensures that the breakout is meaningful in relation to recent volatility. The design aims to represent a minimalistic structural trading framework focused on regime turns rather than continuous trend signaling. This reduces chart noise and clarifies where the market transitions from one regime to another. What’s different vs. standard approaches? Baseline reference Typical swing-based structure indicators report every break above or below recent swing points. Architecture differences First-shift-only regime logic that blocks repeated signals until direction reverses ATR-filtered validation to avoid weak or momentum-less breaks Premium and discount bands derived from breakout structure Optional band-driven stop placement Optional band-dependent position-sizing factor Regime timeout system to neutralize structure after extended inactivity Persistent-state architecture to prevent re-triggering Practical effect Only the earliest actionable structure change is traded Fewer but higher-quality signals Premium/discount tint assists contextual evaluation Stops and sizing can be aligned with structural context rather than arbitrary volatility measures Improved chart interpretability due to reduced marker frequency How it works (technical) The algorithm evaluates symmetric swing points using a fixed bar window. When a swing forms, its value and bar index are stored as persistent state. A structural shift occurs when price closes beyond the most recent major swing on the opposite side. If ATR filtering is enabled, the breakout must exceed a volatility-scaled distance to prevent micro-breaks from firing. Once a valid shift is confirmed, the regime is updated to bullish or bearish. The script records the breakout level, the opposite swing, and derives a band between them. This band is checked for minimum size relative to ATR to avoid unrealistic contexts. The first shift in a new direction generates both the strategy entry and a visual marker. Additional shifts in the same direction are suppressed until a reversal occurs. If a timeout is enabled, the regime resets after a specified number of bars without structural change, optionally clearing the band. Stop placement, if enabled, uses either the opposite or same band edge depending on configuration. Position size is computed from account percentage and may optionally scale with the price-span-to-ATR relationship. Parameter Guide Market Structure Swing length (default 5): Controls swing sensitivity. Lower values increase responsiveness. Use ATR filter (default true): Requires breakouts to show momentum relative to ATR. Reduces false shifts. ATR length (default 14): Volatility estimation for breakout and band validation. Break ATR multiplier (default 1.0): Required breakout strength relative to ATR. Premium/Discount Framework Enable framework (default true): Activates premium/discount evaluation. Persist band on timeout (default true): Keeps structural band after timeout. Min band ATR mult (default 0.5): Rejects narrow bands. Regime timeout bars (default 500): Neutralizes regime after inactivity. Invert colors (default false): Color scheme toggle. Visuals Show zone tint (default true): Background shade in premium or discount region. Show shift markers (default true): Display first-shift markers. Execution and Risk Risk per trade percent (default 1.0): Determines position size as account percentage. Use band for size (default false): Scales size relative to band width behavior. Flat on opposite shift (default true): Forces reversal behavior. Use stop at band (default false): Stop anchored to band edges. Stop band side: Chooses which band edge is used for stop generation. Reading & Interpretation A green background indicates discount conditions within the structural band; red indicates premium conditions. A green triangle below price marks the first bullish structural shift after a bearish regime. A red triangle above price marks the first bearish structural shift after a bullish regime. When stops are active, the opposite band edge typically defines the protective level. Band width relative to ATR indicates how significant a structural change is: wider bands imply stronger volatility structure, while narrow bands may be suppressed by the minimum-size filter. Practical Workflows & Combinations Trend following: Use first-shift entries as initial regime confirmation. Add higher-timeframe trend filters for additional context. Swing trading: Combine with simple liquidity or fair-value-gap concepts to refine entries. Bias mapping: Use higher timeframes for structural regime and lower timeframes for execution within the premium/discount context. Exit management: When using stops, consider ATR-scaling or multi-stage profit targets. When not using stops, reversals become the primary exit. Behavior, Constraints & Performance The strategy uses only confirmed swings and closed-bar logic, avoiding intrabar repaint. Pivot-based swings inherently appear after the pivot window completes, which is standard behavior. No higher-timeframe calls are used, preventing HTF-related repaint issues. Persistent variables track regime and structural levels, minimizing recomputation. The maximum bars back setting is five-thousand. The design avoids loops and arrays, keeping performance stable. Known limitations include limited signal density during consolidations, delayed swing confirmation, and sensitivity to extreme gaps that stretch band logic. ATR filtering mitigates some of these effects but does not eliminate them entirely. Sensible Defaults & Quick Tuning Fewer but stronger entries: Increase swing length or ATR breakout multiplier. More responsive entries: Reduce swing length to capture earlier shifts. More active band behavior: Lower the minimum band ATR threshold. Stricter stop logic: Use the opposite band edge for stop placement. Volatile markets: Increase ATR length slightly to stabilize behavior. What this indicator is—and isn’t Trendshift Strategy is a structural-regime trading engine that evaluates major directional shifts. It is not a complete trading system and does not include take-profit logic or prediction features. It does not attempt to forecast future price movement and should be used alongside broader market structure, volatility context, and disciplined risk management. Disclaimer The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts. Best regards and happy trading Chervolino
Pine Script® strategy
by chervolino
Liquidity Sweep & FVG StrategyThis strategy combines higher-timeframe liquidity levels, stop-hunt (sweep) logic, Fair Value Gaps (FVGs) and structure-based take-profits into a single execution engine. It is not a simple mash-up of indicators: every module (HTF levels, sweeps, FVGs, ZigZag, sessions) feeds the same entry/exit logic. 1. Core Idea The script looks for situations where price: Sweeps a higher-timeframe high/low (takes liquidity around obvious levels), Then forms a displacement candle with a gap (FVG) in the opposite direction, Then uses the edge of that FVG as a limit entry, And manages exits using unswept structural levels (ZigZag swings or HTF levels) as targets. The intent is to systematically trade failed breakouts / stop hunts with a defined structure and risk model. It is a backtesting / study tool, not a signal service. 2. How the Logic Works (Conceptual) a) Higher-Timeframe Liquidity Engine Daily, Weekly and Monthly highs/lows are pulled via request.security() and stored as HTF liquidity levels. Each level is drawn as a line with optional label (1D/1W/1M High/Low). A level is marked as “swept” once price trades through it; swept levels may be removed or shortened depending on settings. b) Sweep & Manipulation Filter A low sweep occurs when the current low trades through a stored HTF low. A high sweep occurs when the current high trades through a stored HTF high. If both a high and a low are swept in the same bar, the script flags this as “manipulation” and blocks new entries around that noise. The script also tracks the sweep wick, bar index and HTF timeframe for later use in SL placement and labels. c) FVG Detection & Management FVGs are defined using a 3-candle displacement model: Bullish FVG: high < low Bearish FVG: low > high Only gaps larger than a minimum size (ATR-based if no manual value is set) are kept. FVGs are stored in arrays as boxes with: top, bottom, mid (CE), direction, and state (filled / reclaimed). Boxes are auto-extended and visually faded when price is far away, or deleted when filled. d) Entry Conditions (Sweep + FVG) For each recent sweep window: After a low sweep, the script searches for the nearest bullish FVG below price and uses its top edge as a long limit entry. After a high sweep, it searches for the nearest bearish FVG above price and uses its bottom edge as a short limit entry. A “knife protection” check blocks trades where price is already trading through the proposed stop. Only one entry per sweep is allowed; entries are only placed inside the configured NY trading sessions and only if no manipulation flag is active and EOD protection allows it. e) Stop-Loss Placement (“Tick-Free” SL) The stop is not placed directly on the HTF level; instead, the script scans a window around the sweep bar to find a local extreme: Longs: lowest low in a configurable bar window around the sweep. Shorts: highest high in that window. This produces a structure-based SL that is generally outside the main sweep wick. f) Take-Profit Logic (ZigZag + HTF Levels) A lightweight ZigZag engine tracks swing highs/lows and removes levels that have already been broken. For intraday timeframes (< 1h), TP candidates come from unswept ZigZag swings above/below the entry. For higher timeframes (≥ 1h), TP candidates fall back to unswept HTF liquidity levels. The script picks up to two targets: TP1: nearest valid target in the trade direction (or a 2R fallback if none exists), TP2: second target (or a 4R fallback if none exists). A multi-TP model is used: typically 50% at TP1, remainder managed towards TP2 with breakeven plus offset once TP1 is hit. g) Session & End-of-Day Filters Three predefined NY sessions (Early, Open, Afternoon) are available; entries are only allowed inside active sessions. An End-of-Day filter checks a user-defined NY close time and: Blocks new entries close to the end of the day, Optionally forces flat before the close. 3. Inputs Overview (Conceptual) Liquidity settings: which HTF levels to track (1D/1W/1M), how many to show, and sweep priority (highest TF vs nearest vs any). FVG settings: visibility radius, search window after a sweep, minimum FVG size. ZigZag settings: swing length used for TP discovery. Execution & protection: limit order timeout, breakeven offset, EOD protection. Visuals: labels, sweep markers, manipulation warning, session highlighting, TP lines, etc. For exact meaning of each input, please refer to the inline comments in the open-source code. 4. Strategy Properties & Backtesting Notes Default strategy properties in this script: Initial capital: 100,000 Order size: 10% of equity (strategy.percent_of_equity) Commission: 0.01% per trade (adjust as needed for your broker/asset) Slippage: must be set manually in the Strategy Tester (recommended: at least a few ticks on fast markets). Even though the order size is 10% of equity, actual risk per trade depends on the SL distance and is typically much lower than 10% of the account. You should still adjust these values to keep risk within what you personally consider sustainable (e.g. somewhere in the 1–2% range per trade). For more meaningful results: Test on liquid instruments (e.g. major indices, FX, or liquid futures). Use enough history to reach 100+ closed trades on your market/timeframe. Always include realistic commission and slippage. Do not assume that past performance will continue. 5. How to Use Apply the strategy to your preferred symbol and timeframe. Set broker-like commission and slippage in the Strategy Tester. Adjust: HTF levels (1D/1W/1M), Sessions (NY windows), FVG search window and minimum size, ZigZag length and EOD filter. Observe how entries only appear: After a HTF sweep, In the configured session, At a FVG edge, With TP lines anchored at unswept structure / liquidity. Use this primarily as a research and backtesting tool to study how your own ICT / SMC ideas behave over a large sample of trades. 6. Disclaimer This script is for educational and research purposes only. It does not constitute financial advice, and it does not guarantee profitability. Always validate results with realistic assumptions and use your own judgment before trading live.
Pine Script® strategy
by mehmettopbas_
RSI Strategy [PrimeAutomation]⯁ OVERVIEW The RSI Strategy is a momentum-driven trading system built around the behavior of the Relative Strength Index (RSI). Instead of using traditional overbought/oversold zones, this strategy focuses on RSI breakouts with volatility-based trailing stops, adaptive profit-targets, and optional early-exit logic. It is designed to capture strong continuation moves after momentum shifts while protecting trades using ATR-based dynamic risk management. ⯁ CONCEPTS RSI Breakout Momentum: Entries happen when RSI breaks above/below custom thresholds, signaling a shift in momentum rather than mean reversion. Volatility-Adjusted Risk: ATR defines both stop-loss and profit-target distances, scaling positions based on market volatility. Dynamic Trailing Stop: The strategy maintains an adaptive trailing level that tightens as price moves in the trade’s favor. Single-Position System: Only one trade at a time (no pyramiding), maximizing clarity and simplifying execution. ⯁ KEY FEATURES RSI Signal Engine • Long when RSI crosses above Upper threshold • Short when RSI crosses below Lower threshold These levels are configurable and optimized for trend-momentum detection. ATR-Based Stop-Loss A custom ATR multiplier defines the initial stop. • Long stop = price – ATR × multiplier • Short stop = price + ATR × multiplier Stops adjust continuously using a trailing model. ATR-Based Take Profit (Optional) Profit targets scale with volatility. • Long TP = entry + ATR × TP-multiplier • Short TP = entry – ATR × TP-multiplier Users can disable TP and rely solely on trailing stops. Real-Time Trailing Logic The stop updates bar-by-bar: • In a long trade → stop moves upward only • In a short trade → stop moves downward only This keeps the stop tight as trends develop. Early Exit Module (Optional) After X bars in a trade, opposite RSI signals trigger exit. This reduces holding time during weak follow-through phases. Full Visual Layer • RSI plotted with threshold fills • Entry/TP/Stop visual lines • Color-coded zones for clarity ⯁ HOW TO USE Look for RSI Breakouts: Focus on RSI crossing above the upper boundary (long) or below the lower boundary (short). These moments identify fresh momentum surges. Use ATR Levels to Manage Risk: Because stops and targets scale with volatility, the strategy adapts well to both quiet and explosive market phases. Monitor Trailing Stops for Trend Continuation: The trailing stop is the primary driver of exits—often outperforming fixed targets by catching larger runs. Use on Liquid Markets & Mid-Higher Timeframes: The system performs best where RSI and ATR signals are clean—crypto majors, FX, and indices. ⯁ CONCLUSION The RSI Strategy is a modern RSI breakout system enhanced with volatility-adaptive risk management and flexible exit logic. It is designed for traders who prefer momentum confirmation over mean reversion, offering a disciplined framework with robust protections and dynamic trend-following capability. Its blend of ATR-based stops, optional profit targets, and RSI-driven entries makes it a reliable strategy across a wide range of market conditions.
Pine Script® strategy
by ChartPrime
5
Anchor SafeSwing Gold StrategyOverview: The Anchor SafeSwing Gold Strategy is designed for users who prefer structured, rule-based swing trading on XAUUSD. It focuses on identifying high-quality trade setups rather than frequent entries. This strategy analyzes the market using multiple technical indicators and methods—including trend analysis, multi-chart confirmation, and support/resistance evaluation—to identify potential swing points. It also incorporates a dynamic approach to risk management through adaptive stop-loss and take-profit logic. How the Strategy Works 1. Multi-Chart & Trend Analysis: The strategy evaluates trend direction using several indicators and multiple charts. This helps determine whether the trend favors long or short setups. 2. Buy/Sell Conditions: a. Buy Conditions: When the broader trend is identified as bullish, the strategy waits for the formation of a strong support zone before considering a long position. b. Sell Conditions: When the trend is bearish, it waits for a confirmed resistance zone before initiating short positions. 3. Dynamic Take-Profit Logic The strategy uses adaptive take-profit behavior based on evolving market conditions. It monitors new support/resistance structures and various overbought/oversold signals to dynamically exit trades. 4. Dynamic and Configurable Stop-Loss: A flexible stop-loss system adjusts according to volatility and market structure. Users can modify the stop-loss threshold in the settings based on their own risk tolerance and account size. Trading Frequency : This strategy focuses on select, high-quality setups. As a result, trade frequency is relatively low and may vary depending on market conditions. Backtesting may show roughly several trades per month, but actual live performance can differ. Important Notes All trading involves risk, and users should evaluate the strategy and adjust settings according to their own risk management preferences.
Pine Script® strategy
by mdaupu
6
Hash Supertrend [Hash Capital Research]Hash Supertrend Strategy by Hash Capital Research Overview Hash Supertrend is a professional-grade trend-following strategy that combines the proven Supertrend indicator with institutional visual design and flexible time filtering. The strategy uses ATR-based volatility bands to identify trend direction and executes position reversals when the trend flips.This implementation features a distinctive fluorescent color system with customizable glow effects, making trend changes immediately visible while maintaining the clean, professional aesthetic expected in quantitative trading environments. Entry Signals: Long Entry: Price crosses above the Supertrend line (trend flips bullish) Short Entry: Price crosses below the Supertrend line (trend flips bearish) Controls the lookback period for volatility calculation Lower values (7-10): More sensitive to price changes, generates more signals Higher values (12-14): Smoother response, fewer signals but potentially delayed entries Recommended range: 7-14 depending on market volatility Factor (Default: 3.0) Restricts trading to specific hours Useful for avoiding low-liquidity sessions, overnight gaps, or known choppy periods When disabled, strategy trades 24/7 Start Hour (Default: 9) & Start Minute (Default: 30) Define when the trading session begins Uses exchange timezone in 24-hour format Example: 9:30 = 9:30 AM End Hour (Default: 16) & End Minute (Default: 0) Controls the vibrancy of the fluorescent color system 1-3: Subtle, muted colors 4-6: Balanced, moderate saturation 7-10: Bright, highly saturated fluorescent appearance Affects both the Supertrend line and trend zones Glow Effect (Default: On) Adds luminous halo around the Supertrend line Creates a multi-layered visual with depth Particularly effective during strong trends Glow Intensity (Default: 5.0) Displays tiny fluorescent dots at entry points Green dot below bar: Long entry Red dot above bar: Short entry Provides clear visual confirmation of executed trades Show Trend Zone (Default: On) Strong trending markets (2020-style bull runs, sustained bear markets) Markets with clear directional bias Instruments with consistent volatility patterns Timeframes: 15m to Daily (optimal on 1H-4H) Challenging Conditions: Choppy, range-bound markets Low volatility consolidation periods Highly news-driven instruments with frequent gaps Very low timeframes (1m-5m) prone to noise Recommended AssetsCryptocurrency:
Pine Script® strategy
by Hash_Capital
PA Builder [PrimeAutomation]1. PA Builder – Overview PA Builder is not a fixed strategy; it’s a framework for building strategies. Instead of giving traders one rigid system, it provides a toolbox where entries, exits, filters, risk parameters, and automation rules can all be defined and combined. The core philosophy is confluence: the idea that a trade should only be taken when multiple independent signals agree. The Builder is built around this principle. Every module; trend, reactors, bands, reversals, volume, structure, divergences, externals can be treated as one layer of confidence. The stronger the alignment across layers, the higher the quality of the setup in theory. In practice, this means PA Builder encourages traders to think in terms of “confluence,” not single indicators. Trend and positioning define whether you should even be looking for longs or shorts. Timing tools such as bands, reversals and candlestick structures determine when inside that broader bias you want to engage. Confirmation tools like volume and flow tell you whether capital is actually supporting the move. Filter systems then ensure that even if everything looks good locally, you still respect higher-timeframe or opposing warnings. The Builder’s philosophy is simple: enter less often, but only when conditions are genuinely in your favour. 2. Core Entry Signal Components The entry logic in PA Builder is built on a set of signal engines that can be combined in many ways. Trend Signals form a natural foundation. They use low-lag low-pass filters, borrowed from audio signal processing, to extract directional bias from price without the classic delay of classical moving averages. The sensitivity parameter controls how reactive this engine is: lower values favour cleaner trends and fewer whipsaws, while higher values are better suited to short-term intraday trading where speed matters more than smoothness. Many traders start by requiring that Trend Signals show “all bullish” or “all bearish” before allowing any entries in that direction. Trend signals firing short positions On top of this directional backbone, the Dynamic Reactor behaves as an adaptive baseline. It accelerates in volatile phases and slows down during consolidation, effectively acting as a moving reference point for both trend and price position. A typical use of this module is to insist that, for long trades, the price sits above a bullish reactor; for shorts, below a bearish one. At the higher-timeframe level, the Quantum Reactor provides a VWAP-style reference that can be anchored to larger candles than the chart you are trading. A common configuration is to trade on a 15-minute chart while requiring that price is above the 4-hour Quantum Reactor for longs or below it for shorts. The “fast” and “slow” options determine how quickly this reference adapts to new information. Timing is then refined with tools like Quantum Bands, reversals and candle structure analysis. Quantum Bands identify extremes within the current environment. In an uptrend, a tag of the lower band can be treated as a pullback rather than a breakdown; in a downtrend, the upper band acts like a shorting zone. Many traders combine “trend up and above higher-timeframe reactor” with “price temporarily below lower band” to construct a mean-reversion entry inside a larger uptrend. Reversal detection modules examine recent bars to find turning points, with shorter lookbacks capturing fast flips and longer lookbacks tracking deeper structural changes. Candle structure logic goes beyond classical candlestick names and instead focuses on whether price action confirms follow-through or reversion behaviour, with options like “2X” modes that wait for two successive confirmations before acting. Before and after filtering using reactor applied. Additional confirmation layers come from Volume Matrix, Money Flow, OSC True7 and divergence detection. Volume and flow tools answer whether actual capital is participating in the move or whether price is drifting on thin activity. OSC True7 categorises the state of the trend into intuitive buckets, strong, healthy, neutral, or exhausted, making it easier to avoid chasing extremes. Divergences between price and momentum can be used either as entry triggers in contrarian systems or as hard filters that block trades when warning signs are present. Finally, two external indicator inputs make it possible to integrate RSI, MACD, custom indicators or even other strategies into the Builder, either as simple thresholds or as comparative logic between two external sources (for example, requiring a fast EMA to be above a slow EMA before allowing longs). 3. Exit System & Trade Management The exit systems in PA Builder are designed to be as vital as the entry logic. It assumes exits are not an afterthought, but half of the edge. Instead of forcing a single take profit point, the system uses a three-tier structure where you can assign different portions of the position to different targets. A common pattern is to scale out a small portion early (for example at one ATR), another portion at an intermediate level, and keep the largest slice for a deeper move. This creates a natural balance: you book something early to reduce emotional stress, while leaving room to participate in the full potential of a trend. Targets can be defined using ATR multiples or risk-to-reward ratios that are directly tied to the initial stop distance. Using ATR keeps exits proportional to current volatility. A two ATR target in a quiet environment is very different in absolute price distance from the same multiple in a high-volatility environment, yet conceptually it represents the same “size” move. Risk-to-reward exits build on this by ensuring that if you risk one unit (1R), the reward targets are set at predefined multiples of that risk. This enforces positive expectancy at the structural level: the strategy cannot generate entries with inherently negative payoffs. Once price begins to move in your favour, trailing logic takes over if you choose to enable it. Trailing can begin immediately from entry or only after a target has been hit. Many users prefer to let TP1 and TP2 behave as fixed profit points and then apply a trailing stop or trailing take profit to the final remainder. That way, routine winners are banked mechanically, while occasional explosive moves can be ridden for as long as the market allows. The breakeven module supports this behaviour by automatically moving stops to entry (or slightly through entry into profit) after a specified condition such as TP1 being hit. This transforms the risk profile mid trade: once breakeven has been secured, remaining size can be managed with much less psychological pressure. The system also recognises the cost of time. Kill Switch functionality exits trades that have been open too long under mediocre conditions, typically when they are in modest profit but not progressing. This protects you from capital being tied up while better opportunities appear elsewhere. Underlying all of this are several trailing stop mechanisms: percentage-based, tick-based for very short-term strategies, TP linked trailing that activates only once a certain profit threshold has been achieved, and ATR based trailing that automatically scales the trail distance with volatility. Each method serves a slightly different profile of strategy, but all share the same aim: preserve gains and limit downside in a structured way rather than rely on discretionary judgement after the fact. 4. Filters and Risk Management The filter systems in PA Builder formalise the idea that good trading is often about knowing when not to act. “Do Not Trade” conditions can be configured so that even a perfectly aligned bullish entry stack is overridden if certain bearish evidence is present. These can include higher timeframe reversal structures, powerful opposing divergences, or conflicting signals in key modules. By assigning conditions specifically to “Do Not Long” and “Do Not Short” rather than only to entries, you create asymmetry: buying requires bullish evidence and an absence of strong bearish warnings; selling requires the mirror. Volatility filters extend this logic to the regime level. Some strategies are inherently suited to low volatility, range bound environments where fading extremes is profitable; others require expansion and energy to function properly. By binding trading permission to volatility ranges, you ensure that a mean-reversion system does not blindly attempt to fade a breakout, and that a momentum system does not spin its wheels in a dead, sideways market. You can even reference volatility from a higher timeframe than the one you trade, so that a five-minute strategy is still aware of the broader one-hour volatility regime it sits inside. Applied DO NOT TRADE - removes poor signal Risk management and position sizing are configured so each trade is expressed in units of risk rather than arbitrary size. Leverage, in this framework, is simply a scaling factor for capital efficiency; the actual risk per trade is still controlled by the distance between entry and stop and the percentage of equity you choose to expose. Reinvestment options then decide what proportion of accumulated profit is fed back into position sizing. A more aggressive reinvestment setting accelerates compounding but increases the amplitude of drawdowns; a more conservative one smooths the equity curve at the cost of slower growth. The Base Trade Value parameter ties all of this together by deciding how much nominal capital or how many contracts are committed per trade in light of your maximum allowed simultaneous positions and your intended use of leverage. External exit conditions provide further flexibility. For example, you might design a system whose entries rely purely on PA Builder’s internal modules, but whose exits use RSI readings, moving average crosses, or a proprietary external indicator. The separation of entry and exit logic allows you to bolt on different behaviours at the tail end of trades while keeping your core signal engine intact. In all cases, the objective is the same: express risk in a controlled, repeatable way that can survive long stretches of unfavourable market conditions. 5. PDT, Cooldowns and Visual Modes For traders subject to Pattern Day Trading rules, PA Builder includes a day-trade tracking system that counts business days correctly and respects the three-trades-in-five-days limit. This goes beyond simple compliance; it forces discipline. When intraday trading is heavily constrained, you are naturally pushed toward swing-oriented strategies with fewer, more selective entries. The tool visually marks your PDT status so you never inadvertently cross the line and trigger a lockout. Cooldown systems address another reality: psychological vulnerability after streaks. Following several consecutive wins, many traders unconsciously loosen their standards, take marginal signals, oversize positions, or overtrade. A win-streak cooldown deliberately pauses trading after a configured number of wins, giving you time to reset. The same applies to losing streaks. After a run of losses, the strongest temptation is often to “make it back now,” which is exactly when discipline is weakest. A loss-streak cooldown enforces a break in activity during this high-risk emotional state, helping to prevent cascading damage driven by revenge trading. Visualisation comes in two main modes. Classic mode emphasises precision: it draws explicit entry lines, stop levels, target levels and fill zones, making it easy to audit risk/reward on each trade, verify that the exit logic behaves as intended, and review historical trades in detail. Modern mode emphasises market feel: instead of focusing on exact levels, it colours candles and backgrounds to reflect momentum, profit state and dynamics. This helps you see at a glance whether a strategy is operating in a smooth trending environment or a choppy, fragmented one, and whether current trades are broadly working or struggling. Many users develop and debug in Classic mode and then monitor live performance in Modern mode, so both representations become part of the workflow. 6. Strategy Design Workflow, Examples and Cautions Designing with PA Builder is inherently iterative. You begin with a simple theory and a minimal configuration, perhaps just a trend filter and a basic stop/target structure, and run a backtest. You then examine where the system fails. If you see many losses occurring in counter-trend conditions, you add an additional directional filter or restrict entries with a higher-timeframe reactor condition. If you observe many small whipsaw losses, you might require candle structure confirmation or volume confirmation before allowing an entry. Each change is made one at a time and evaluated. This process gradually builds a layered system where every component has a clear purpose: some reduce drawdown, some increase win rate, some cut out only the worst trades, and others help capture more of the best ones. A conservative swing strategy might need an agreement between short-term trend signals, a higher-timeframe Quantum position, and a bullish Dynamic Reactor state, while checking that volume supports the move and that no significant bearish reversals or divergences are present on higher timeframes. It might accept relatively few trades, but each trade would be tightly controlled, scaled out over several ATR-based targets and protected with breakeven and trailing logic. On the opposite end, an aggressive scalping configuration would relax some filters, favour faster sensitivities, use short lookback reversals, and tighten stops and targets dramatically, relying on high frequency and careful volatility filtering to maintain edge. Throughout all of this, overfitting remains the main danger. The more parameters you tune and the more coincidental rules you add to make the backtest equity curve smoother, the more likely it is that you are capturing noise rather than a real, repeatable edge. Signs of overfitting include heavily optimised numeric values with no intuitive justification, large differences between in-sample and out-of-sample results, or strategies that work spectacularly in very specific regimes and collapse elsewhere. To mitigate this, keep strategies as simple as possible, test across different market regimes (bull, bear, range), and accept that robust systems usually look less “perfect” on the historical chart. Bridging the gap from backtest to live trading is another critical step. Before risking capital, it is wise to paper trade the configuration for a number of trades to confirm that signal frequency, behaviour and execution align with expectations. When going live, starting with minimal size and gradually scaling up based on real-world performance helps manage both financial and psychological risk. If live results diverge significantly from backtest expectations due to slippage, fees, or changing market conditions, you can adjust, reduce size, or temporarily pause rather than commit fully to a failing configuration. Ultimately, PA Builder is designed to be a tool for building structured, rules-driven trading systems. It gives you the tools to express your ideas, test them, refine them, and run them under controlled risk. It does not remove uncertainty or guarantee results, but it does provide a clear, transparent way to translate trading concepts into executable, testable logic, and to evolve those systems as markets change and your understanding deepens.
Pine Script® strategy
by ChartPrime
4
ParabolicSAR+EMA[TS_Indie]🚀 EMA + Parabolic SAR Reversal Trading Strategy This trading system effectively combines the use of Exponential Moving Averages (EMA) with the Parabolic SAR to identify both price trends and key reversal points. The EMA Fast is used to signal the primary short-term trend, while the EMA Slow acts as a filter for the long-term trend direction. The Parabolic SAR then helps to confirm the reversal signals. 🛠️ Tools Used 1. EMA Fast – Primary Short-Term Trend 2. EMA Slow – Long-Term Trend Filter 3. Parabolic SAR – Reversal Confirmation 🎯 Entry Rules 📈 Buy Setup 1. Trend Filter: EMA Fast > EMA Slow → Uptrend 2. Pullback: Price pulls back and closes below the EMA Fast line. 3. Reversal: Price reverses/pulls back up and closes above the EMA Fast line. 4. SAR Confirmation: The previous Parabolic SAR dot is above the high, and the dot in the current candle is below the low → Reversal signal confirmed. 5. Entry: Enter Buy immediately. 📉 Sell Setup 1. Trend Filter: EMA Fast < EMA Slow → Downtrend 2. Pullback: Price pulls back and closes above the EMA Fast line. 3. Reversal: Price reverses/pulls back down and closes below the EMA Fast line. 4. SAR Confirmation: The previous Parabolic SAR dot is below the low, and the dot in the current candle is above the high → Reversal signal confirmed. 5. Entry: Enter Sell immediately. 💰 Exit Management (Entry, Stop Loss, Take Profit) 1. Entry: Enter the order at the closing price of the signal candle. 2. Stop Loss (SL): Set the Stop Loss at the Parabolic SAR dot. 3. Take Profit (TP): Calculated from the Entry and Stop Loss points, multiplied by the Risk Reward Ratio. ⚙️ Optional Parameters ➭ Custom Risk/Reward Ratio for Take Profit. ➭ Option to add an ATR buffer to the Stop Loss. ➭ Adjustable EMA Fast period. ➭ Adjustable EMA Slow period. ➭ Adjustable Parabolic SAR parameters. ➭ Option to enable Long-only / Short-only positions. ➭ Customizable Backtest start and end date. ➭ Customizable trading session time. 🔔 Alert Function Alerts display: ➭ Entry Price ➭ Stop Loss Price ➭ Take Profit Price 💡 This strategy allows for many parameter adjustments, such as the MA type, adding/subtracting from the Stop Loss using ATR, and selecting specific sessions for backtesting. If you find interesting or profitable results after adjusting the parameters, please share your comments with other traders! ⚠️ Disclaimer This indicator is designed for educational and research purposes only. It does not guarantee profits and should not be considered financial advice. Trading in financial markets involves significant risk , including the potential loss of capital.
Pine Script® strategy
by Truth_Strategy_Indie
Simple MA Crossover w/ SLTPPicture two cheetahs on a racetrack made of price candles. One cheetah is fast and twitchy (the short-term EMA). The other is chill, lumbering, and takes its sweet time (the long-term EMA). When the twitchy cheetah sprints ahead and crosses above the chill one → “BUY, YOU MAGNIFICENT DEGEN!” When the twitchy one gets tired, slows down, and gets lapped from above → “SELL before this turns into a horror movie!” That, my friend, is the EMA crossover strategy in its purest, most dramatic form.
Pine Script® strategy
by Thighighs
Seawolf Pivot Hunter [Strategy]Overview Seawolf Pivot Hunter is a practical trading strategy that enhances the classic pivot-box breakout system with a structured risk-management framework. Using ATR-based stop loss and take-profit calculations, position sizing, multi-layer filtering, and daily loss-limit protection, it provides a stable and sustainable trading environment. It preserves the strengths of the original version while adding systems designed to manage real-market risks more effectively. Core Philosophy The most important element in trading is not generating profits but controlling losses. Even the best entry signals cannot compensate for a single large loss that wipes out accumulated gains. This strategy precisely calculates the risk exposure for every trade and includes multiple layers of protection to safeguard the account under worst-case scenarios. Indicator Setup Link kr.tradingview.com Example of Optimal Parameter Settings Asset (Exchange): ETH/USDT (Binance) Timeframe: 15-minute chart Pivot Detection Length: 5 Upper Box Width: 2 Lower Box Width: 2 Enable Risk Management: False Use Trailing Stop: False Use Volume Filter -Min Buy Volume % for Long: 50 -Min Sell Volume % for Short: 50 Use Trend Filter (EMA): False Enable Max Loss Protection -Max Daily Loss ($): 200 -Max Trades Per Day: 10 Calculated Bars: 50,000 Risk-Management System Every trade automatically receives a stop-loss level at the moment of entry. The stop is calculated using ATR, adjusting dynamically to market volatility. When volatility increases, the stop widens; in stable conditions, it tightens to reduce unnecessary exits. The default distance is set to twice the ATR. The standard take-profit level is set to four times the ATR, providing a 1:2 risk-reward structure. With this ratio, even a 50 percent win rate can produce profitability—while the typical trade structure aims for small losses and larger gains to support long-term performance. A trailing-stop option is also available. Once the trade moves into profit, the stop level automatically trails behind price action, protecting gains while allowing the position to expand when momentum continues. Position size is calculated automatically based on the selected risk percentage. For example, with a 2 percent risk setting, each stop-loss hit would result in exactly 2 percent of the account balance being lost. This ensures a consistent risk profile regardless of account size. The daily loss-limit function prevents excessive drawdown by halting new trades once a predefined loss threshold is reached. This helps avoid emotional decision-making after consecutive losses. A daily trade-limit feature is included as well. The default is 10 trades per day, protecting traders from overtrading and unnecessary fees. Filtering System The volume filter analyzes buying and selling pressure within the pivot box. Long trades are allowed only when buy volume exceeds a specified percentage; shorts require sell-volume dominance. The default threshold is 55 percent. The trend filter uses an EMA to determine market direction. When price is above the 200-EMA, only long signals are permitted; when below, only shorts are allowed. This ensures alignment with the broader trend and reduces counter-trend risk. Each filter can be toggled independently. More filters generally reduce trade frequency but improve signal quality. Real-Time Monitoring A real-time statistics panel displays daily profit/loss, the number of trades taken, the maximum allowed trades, and whether new trades are currently permitted. When daily limits are reached, the panel provides clear visual warnings. Entry Logic A trade is validated only after a pivot-box breakout occurs and all active filters—volume, trend, daily loss limit, and daily trade limit—are satisfied. Position size, stop loss, and take-profit levels are then calculated automatically. Entry arrows and labels on the chart help with later review and analysis. Setup Guide Risk percentage is the most critical setting. Beginners should start at 1 percent. Anything above 3 percent becomes aggressive. ATR stop-loss multipliers should reflect asset volatility. ATR take-profit multipliers determine reward ratio; 4.0 is the standard. Volume thresholds are typically set between 50–60 percent depending on market conditions. Daily loss limits are typically 2–5 percent of the account. Trading Strategy This strategy performs best in trending environments and works especially well on the 4-hour and daily charts. New users should begin with all filters enabled and trade conservatively. A minimum of one month of paper trading is recommended before committing real capital. Suitable Users The strategy is ideal for beginners who lack risk-management experience as well as advanced traders seeking a customizable structure. It is particularly helpful for traders who struggle with emotional decision-making, as pre-defined limits and rules enforce discipline. Backtesting Guide Use at least 2–3 years of historical data that includes bullish, bearish, and sideways conditions. Target metrics: Sharpe ratio: 1.5 or higher Maximum drawdown: below 25 percent Win rate: 40 percent or higher Total trades: at least 100 for statistical relevance Optimization Precautions Avoid over-fitting parameters. Always test values around the “best” setting to verify stability. Out-of-sample testing is essential for confirming robustness. Test across multiple assets and timeframes to ensure consistency. Live Deployment Roadmap After successful backtesting, follow a gradual rollout: Paper trading for at least one month Small-account live testing Slow scaling as performance stabilizes Continuous Improvement Keep a detailed trading journal and evaluate performance each quarter using recent data. Adapt settings as market conditions evolve. Conclusion Seawolf Pivot Hunter aims to provide more than simple trade signals—it is designed to create a stable and sustainable trading system built on disciplined risk management. No strategy is perfect, and long-term success depends on consistency, patience, and strict adherence to rules. Start small, verify results, and scale progressively. Disclaimer This strategy is for educational and research purposes only. Past performance does not guarantee future results. All trading decisions are the responsibility of the user. 개요 Seawolf Pivot Hunter는 기본 피봇 박스 브레이크아웃 전략에 전문적인 리스크 관리 시스템을 더한 실전형 트레이딩 전략입니다. ATR 기반의 손절매와 목표가 설정, 포지션 사이징, 다층 필터링 시스템, 일일 손실 제한 기능을 통해 안정적이고 지속 가능한 트레이딩 환경을 제공합니다. 기본 버전의 장점은 유지하면서 실제 시장에서 발생할 수 있는 위험을 체계적으로 관리할 수 있도록 설계되었습니다. 핵심 철학 트레이딩에서 가장 중요한 것은 수익이 아니라 손실 관리입니다. 아무리 훌륭한 진입 조건이 있어도 한 번의 큰 손실로 모든 수익이 사라질 수 있습니다. 이 전략은 각 거래마다 감수할 리스크를 명확히 계산하고, 최악의 상황에서도 계좌를 보호하기 위한 다양한 안전장치를 제공합니다. 지표 적용 링크 공유 kr.tradingview.com 최적 조건값 설정(예시) "종목(거래소): ETH/USDT(Binance)", "15 분봉 기준" -Pivot Detection Length: 5 -Upper Box width: 2 -Lower Box width: 2 -Enable Risk Management: False -Use Trailing Stop: False -Use Volume Filter -Min Buy Volume % for Long: 50 -Min Buy Volume % for Long: 50 -Use Trend Filter(EMA): False -Enable Max Loss Protection -Max Daily Loss($): 200 -Max Trades Per Day: 10 -Calucated bars: 50000 리스크 관리 시스템 모든 거래는 진입과 동시에 손절매 주문이 자동 설정됩니다. 손절가는 ATR을 기준으로 계산되며, 시장의 변동성에 따라 자동으로 조정됩니다. 변동성이 큰 시장에서는 넓은 손절폭을, 안정적인 시장에서는 좁은 손절폭을 사용해 불필요한 청산을 줄입니다. 기본값은 ATR의 2배입니다. 목표가는 ATR의 4배를 기본값으로 설정하여 손익비 1:2 구조를 유지합니다. 승률이 50퍼센트만 되어도 수익성이 가능하며, 실제로는 손절은 짧고 이익은 길게 가져가는 방식으로 장기 성과를 확보합니다. 트레일링 스톱 기능도 제공됩니다. 포지션이 수익 구간에 들어서면 손절가가 자동으로 함께 움직이며 수익을 보호합니다. 이 기능은 사용자가 켜거나 끌 수 있습니다. 포지션 크기는 리스크 퍼센트 기반으로 자동 계산됩니다. 예를 들어 리스크를 2퍼센트로 설정하면 손절 시 계좌 자산의 2퍼센트만 잃도록 수량이 조절됩니다. 계좌 크기와 무관하게 항상 일정한 비율의 리스크만 감수하게 되는 방식입니다. 일일 손실 제한 기능은 하루에 허용 가능한 최대 손실을 초과하지 않도록 합니다. 지정 금액에 도달하면 당일 거래는 더 이상 실행되지 않습니다. 감정적 거래를 막고 일정한 규율을 유지하도록 돕습니다. 일일 거래 횟수 제한 기능도 제공됩니다. 기본값은 하루 10회로, 과매매와 수수료 증가를 방지합니다. 필터링 시스템 볼륨 필터는 박스 구간 내 매수·매도 압력을 분석해 진입 신호를 검증합니다. 롱은 매수 볼륨이 일정 비율 이상일 때, 숏은 매도 볼륨이 우세할 때만 진입합니다. 기본값은 55퍼센트입니다. 추세 필터는 EMA를 사용하며, 가격이 200EMA 위에 있을 때는 롱 신호만, 아래에서는 숏 신호만 허용합니다. 큰 추세 방향에만 거래하여 역추세 리스크를 줄입니다. 필터는 독립적으로 켜고 끌 수 있으며, 필터가 많을수록 거래 횟수는 줄지만 신호 품질은 향상됩니다. 실시간 모니터링 화면에 실시간 통계 테이블이 표시되며, 일일 손익, 거래 횟수, 최대 허용 횟수, 현재 거래 가능 여부가 즉시 확인됩니다. 손실 제한 또는 거래 제한 도달 시 시각적으로 표시됩니다. 진입 로직 피봇 박스 브레이크아웃 발생 후 볼륨 필터, 추세 필터, 일일 손실·거래 제한을 모두 통과하면 포지션 크기를 계산하고 손절·목표가를 설정한 뒤 진입합니다. 진입 지점에는 화살표와 레이블이 표시되어 분석에 도움을 줍니다. 설정 가이드 리스크 퍼센트는 가장 중요한 설정입니다. 초보자는 1퍼센트를 추천하며 3퍼센트 이상은 위험합니다. 손절 ATR 배수는 자산 특성에 맞게 조절합니다. 목표가 ATR 배수는 손익비를 결정하며 기본값은 4.0입니다. 볼륨 비율은 시장 상황에 따라 50~60퍼센트 내외로 조정합니다. 일일 손실 제한은 계좌의 2~5퍼센트 수준이 적절합니다. 사용 전략 추세가 명확한 시장에서 가장 효과적이며, 4시간봉 또는 일봉을 추천합니다. 초반에는 모든 필터를 켜고 보수적으로 시작하며, 최소 한 달간 페이퍼 트레이딩을 권장합니다. 적합한 사용자 리스크 관리 경험이 부족한 초보자부터, 커스터마이징을 원하는 경험자까지 폭넓게 적합합니다. 감정적 트레이딩을 억제하는 기능이 있어 규율 유지가 어렵던 트레이더에게 특히 유용합니다. 백테스트 가이드 최소 2~3년 데이터로 테스트하며, 상승·하락·횡보 모두 포함해야 합니다. 샤프비율 1.5 이상, 최대 낙폭 25퍼센트 이하를 목표로 합니다. 승률은 40퍼센트 이상이면 충분합니다. 최소 100회 이상 거래가 있어야 통계적으로 의미가 있습니다. 최적화 주의사항 과최적화를 피하고 주변 값도 테스트해야 합니다. 샘플 외 기간 검증은 필수입니다. 여러 자산·여러 시간대에서 테스트하여 일관성을 확인해야 합니다. 실전 적용 로드맵 백테스트 후 바로 실전 투입하지 말고, 한 달 이상의 페이퍼 트레이딩 → 소액 실전 → 점진적 확대 순으로 진행합니다. 지속적 개선 일지를 기록하고 분기마다 최신 데이터로 점검합니다. 시장 변화에 따라 유연하게 조정해야 합니다. 마치며 Seawolf Pivot Hunter는 단순 신호 제공을 넘어, 안전하고 지속 가능한 트레이딩 환경 구축을 목표로 합니다. 어떤 전략도 완벽할 수 없으며, 장기적 성공을 위해서는 규칙 준수와 인내가 가장 중요합니다. 충분한 검증을 거쳐 작은 금액으로 시작하고 점진적으로 확장해나가는 접근을 추천합니다. 면책 조항 이 전략은 교육 및 연구 목적이며, 과거 성과는 미래를 보장하지 않습니다. 모든 투자 결정은 본인의 판단과 책임 하에 이루어져야 합니다.
Pine Script® strategy
by Seawolf_AGI
Quasimodo Pattern Strategy Back Test [TradingFinder] QM Trading🔵 Introduction The QM pattern, also known as the Quasimodo pattern, is one of the popular patterns in price action, and it is often used by technical analysts. The QM pattern is used to identify trend reversals and provides a very good risk-to-reward ratio. One of the advantages of the QM pattern is its high frequency and visibility in charts. Additionally, due to its strength, it is highly profitable, and as mentioned, its risk-to-reward ratio is very good. The QM pattern is highly popular among traders in supply and demand, and traders also use this pattern. The Price Action QM pattern, like other Price Action patterns, has two types: Bullish QM and Bearish QM patterns. To identify this pattern, you need to be familiar with its types to recognize it. 🔵 Identifying the QM Pattern 🟣 Bullish QM In the bullish QM pattern, as you can see in the image below, an LL and HH are formed. As you can see, the neckline is marked as a dashed line. When the price reaches this range, it will start its upward movement. 🟣 Bearish QM The Price Action QM pattern also has a bearish pattern. As you can see in the image below, initially, an HH and LL are formed. The neckline in this image is the dashed line, and when the LL is formed, the price reaches this neckline. However, it cannot pass it, and the downward trend resumes. 🔵 How to Use The Quasimodo pattern is one of the clearest structures used to identify market reversals. It is built around the concept of a structural break followed by a pullback into an area of trapped liquidity. Instead of relying on lagging indicators, this pattern focuses purely on price action and how the market reacts after exhausting one side of liquidity. When understood correctly, it provides traders with precise entry points at the transition between trend phases. 🟣 Bullish Quasimodo A bullish Quasimodo forms after a clear downtrend when sellers start losing control. The market continues to make lower lows until a sudden higher high appears, signaling that buyers are entering with strength. Price then pulls back to retest the previous low, creating what is known as the Quasimodo low. This area often becomes the final trap for sellers before the market shifts upward. A visible rejection or displacement from this zone confirms bullish momentum. Traders usually place entries near this level, stops below the low, and targets at previous highs or the next resistance zone. Combining the setup with demand zones or Fair Value Gaps increases its accuracy. 🟣 Bearish Quasimodo A bearish Quasimodo forms near the top of an uptrend when buyers begin to lose strength. The market continues to make higher highs until a sudden lower low breaks the bullish structure, showing that selling pressure is entering the market. Price then retraces upward to retest the previous high, forming the Quasimodo high, where breakout buyers are often trapped. Once rejection appears at this level, it indicates a likely reversal. Traders can enter short near this area, with stop-losses placed above the high and targets near the next support or previous lows. The setup gains more reliability when aligned with supply zones, SMT divergence, or bearish Fair Value Gaps. 🔵 Setting Pivot Period : You can use this parameter to use your desired period to identify the QM pattern. By default, this parameter is set to the number 5. Take Profit Mode : You can choose your desired Take Profit in three ways. Based on the logic of the QM strategy, you can select two Take Profit levels, TP1 and TP2. You can also choose your take profit based on the Reward to Risk ratio. You must enter your desired R/R in the Reward to Risk Ratio parameter. Stop Loss Refine : The loss limit of the QM strategy is based on its logic on the Head pattern. You can refine it using the ATR Refine option to prevent Stop Hunt. You can enter your desired coefficient in the Stop Loss ATR Adjustment Coefficient parameter. Reward to Risk Ratio : If you set Take Profit Mode to R/R, you must enter your desired R/R here. For example, if your loss limit is 10 pips and you set R/R to 2, your take profit will be reached when the price is 20 pips away from your entry point. Stop Loss ATR Adjustment Coefficient : If you set Stop Loss Refine to ATR Refine, you must adjust your loss limit coefficient here. For example, if your buy position's loss limit is at the price of 1000, and your ATR is 10, if you set Stop Loss ATR Adjustment Coefficient to 2, your loss limit will be at the price of 980. Entry Level Validity : Determines how long the Entry level remains valid. The higher the level, the longer the entry level will remain valid. By default it is 2 and it can be set between 2 and 15. 🔵 Results The following examples show the backtest results of the Quasimodo (QM) strategy in action. Each image is based on specific settings for the symbol, timeframe, and input parameters, illustrating how the QM logic can generate signals under different market conditions. The detailed configuration for each backtest is also displayed on the image. ⚠ Important Note : Even with identical settings and the same symbol, results may vary slightly across different brokers due to data feed variations and pricing differences. Default Properties of Backtests : OANDA:XAUUSD | TimeFrame: 5min | Duration: 1 Year : BINANCE:BTCUSD | TimeFrame: 5min | Duration: 1 Year : CAPITALCOM:US30 | TimeFrame: 5min | Duration: 1 Year : NASDAQ:QQQ | TimeFrame: 5min | Duration: 5 Year : OANDA:EURUSD | TimeFrame: 5min | Duration: 5 Year : PEPPERSTONE:US500 | TimeFrame: 5min | Duration: 5 Year :
Pine Script® strategy
by TFlab
18