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Range Oscillator Strategy + Stoch Confirm🔹 Short summary This is a free, educational long-only strategy built on top of the public “Range Oscillator” by Zeiierman (used under CC BY-NC-SA 4.0), combined with a Stochastic timing filter, an EMA-based exit filter and an optional risk-management layer (SL/TP and R-multiple exits). It is NOT financial advice and it is NOT a magic money machine. It’s a structured framework to study how range-expansion + momentum + trend slope can be combined into one rule-based system, often with intentionally RARE trades. ──────────────────────── 0. Legal / risk disclaimer ──────────────────────── • This script is FREE and public. I do not charge any fee for it. • It is for EDUCATIONAL PURPOSES ONLY. • It is NOT financial advice and does NOT guarantee profits. • Backtest results can be very different from live results. • Markets change over time; past performance is NOT indicative of future performance. • You are fully responsible for your own trades and risk. Please DO NOT use this script with money you cannot afford to lose. Always start in a demo / paper trading environment and make sure you understand what the logic does before you risk any capital. ──────────────────────── 1. About default settings and risk (very important) ──────────────────────── The script is configured with the following defaults in the `strategy()` declaration: • `initial_capital = 10000` → This is only an EXAMPLE account size. • `default_qty_type = strategy.percent_of_equity` • `default_qty_value = 100` → This means 100% of equity per trade in the default properties. → This is AGGRESSIVE and should be treated as a STRESS TEST of the logic, not as a realistic way to trade. TradingView’s House Rules recommend risking only a small part of equity per trade (often 1–2%, max 5–10% in most cases). To align with these recommendations and to get more realistic backtest results, I STRONGLY RECOMMEND you to: 1. Open **Strategy Settings → Properties**. 2. Set: • Order size: **Percent of equity** • Order size (percent): e.g. **1–2%** per trade 3. Make sure **commission** and **slippage** match your own broker conditions. • By default this script uses `commission_value = 0.1` (0.1%) and `slippage = 3`, which are reasonable example values for many crypto markets. If you choose to run the strategy with 100% of equity per trade, please treat it ONLY as a stress-test of the logic. It is NOT a sustainable risk model for live trading. ──────────────────────── 2. What this strategy tries to do (conceptual overview) ──────────────────────── This is a LONG-ONLY strategy designed to explore the combination of: 1. **Range Oscillator (Zeiierman-based)** - Measures how far price has moved away from an adaptive mean. - Uses an ATR-based range to normalize deviation. - High positive oscillator values indicate strong price expansion away from the mean in a bullish direction. 2. **Stochastic as a timing filter** - A classic Stochastic (%K and %D) is used. - The logic requires %K to be below a user-defined level and then crossing above %D. - This is intended to catch moments when momentum turns up again, rather than chasing every extreme. 3. **EMA Exit Filter (trend slope)** - An EMA with configurable length (default 70) is calculated. - The slope of the EMA is monitored: when the slope turns negative while in a long position, and the filter is enabled, it triggers an exit condition. - This acts as a trend-protection exit: if the medium-term trend starts to weaken, the strategy exits even if the oscillator has not yet fully reverted. 4. **Optional risk-management layer** - Percentage-based Stop Loss and Take Profit (SL/TP). - Risk/Reward (R-multiple) exit based on the distance from entry to SL. - Implemented as OCO orders that work *on top* of the logical exits. The goal is not to create a “holy grail” system but to serve as a transparent, configurable framework for studying how these concepts behave together on different markets and timeframes. ──────────────────────── 3. Components and how they work together ──────────────────────── (1) Range Oscillator (based on “Range Oscillator (Zeiierman)”) • The script computes a weighted mean price and then measures how far price deviates from that mean. • Deviation is normalized by an ATR-based range and expressed as an oscillator. • When the oscillator is above the **entry threshold** (default 100), it signals a strong move away from the mean in the bullish direction. • When it later drops below the **exit threshold** (default 30), it can trigger an exit (if enabled). (2) Stochastic confirmation • Classic Stochastic (%K and %D) is calculated. • An entry requires: - %K to be below a user-defined “Cross Level”, and - then %K to cross above %D. • This is a momentum confirmation: the strategy tries to enter when momentum turns up from a pullback rather than at any random point. (3) EMA Exit Filter • The EMA length is configurable via `emaLength` (default 70). • The script monitors the EMA slope: it computes the relative change between the current EMA and the previous EMA. • If the slope turns negative while the strategy holds a long position and the filter is enabled, it triggers an exit condition. • This is meant to help protect profits or cut losses when the medium-term trend starts to roll over, even if the oscillator conditions are not (yet) signalling exit. (4) Risk management (optional) • Stop Loss (SL) and Take Profit (TP): - Defined as percentages relative to average entry price. - Both are disabled by default, but you can enable them in the Inputs. • Risk/Reward Exit: - Uses the distance from entry to SL to project a profit target at a configurable R-multiple. - Also optional and disabled by default. These exits are implemented as `strategy.exit()` OCO orders and can close trades independently of oscillator/EMA conditions if hit first. ──────────────────────── 4. Entry & Exit logic (high level) ──────────────────────── A) Time filter • You can choose a **Start Year** in the Inputs. • Only candles between the selected start date and 31 Dec 2069 are used for backtesting (`timeCondition`). • This prevents accidental use of tiny cherry-picked windows and makes tests more honest. B) Entry condition (long-only) A long entry is allowed when ALL the following are true: 1. `timeCondition` is true (inside the backtest window). 2. If `useOscEntry` is true: - Range Oscillator value must be above `entryLevel`. 3. If `useStochEntry` is true: - Stochastic condition (`stochCondition`) must be true: - %K < `crossLevel`, then %K crosses above %D. If these filters agree, the strategy calls `strategy.entry("Long", strategy.long)`. C) Exit condition (logical exits) A position can be closed when: 1. `timeCondition` is true AND a long position is open, AND 2. At least one of the following is true: - If `useOscExit` is true: Oscillator is below `exitLevel`. - If `useMagicExit` (EMA Exit Filter) is true: EMA slope is negative (`isDown = true`). In that case, `strategy.close("Long")` is called. D) Risk-management exits While a position is open: • If SL or TP is enabled: - `strategy.exit("Long Risk", ...)` places an OCO stop/limit order based on the SL/TP percentages. • If Risk/Reward exit is enabled: - `strategy.exit("RR Exit", ...)` places an OCO order using a projected R-multiple (`rrMult`) of the SL distance. These risk-based exits can trigger before the logical oscillator/EMA exits if price hits those levels. ──────────────────────── 5. Recommended backtest configuration (to avoid misleading results) ──────────────────────── To align with TradingView House Rules and avoid misleading backtests: 1. **Initial capital** - 10 000 (or any value you personally want to work with). 2. **Order size** - Type: **Percent of equity** - Size: **1–2%** per trade is a reasonable starting point. - Avoid risking more than 5–10% per trade if you want results that could be sustainable in practice. 3. **Commission & slippage** - Commission: around 0.1% if that matches your broker. - Slippage: a few ticks (e.g. 3) to account for real fills. 4. **Timeframe & markets** - Volatile symbols (e.g. crypto like BTCUSDT, or major indices). - Timeframes: 1H / 4H / **1D (Daily)** are typical starting points. - I strongly recommend trying the strategy on **different timeframes**, for example 1D, to see how the behaviour changes between intraday and higher timeframes. 5. **No “caution warning”** - Make sure your chosen symbol + timeframe + settings do not trigger TradingView’s caution messages. - If you see warnings (e.g. “too few trades”), adjust timeframe/symbol or the backtest period. ──────────────────────── 5a. About low trade count and rare signals ──────────────────────── This strategy is intentionally designed to trade RARELY: • It is **long-only**. • It uses strict filters (Range Oscillator threshold + Stochastic confirmation + optional EMA Exit Filter). • On higher timeframes (especially **1D / Daily**) this can result in a **low total number of trades**, sometimes WELL BELOW 100 trades over the whole backtest. TradingView’s House Rules mention 100+ trades as a guideline for more robust statistics. In this specific case: • The **low trade count is a conscious design choice**, not an attempt to cherry-pick a tiny, ultra-profitable window. • The goal is to study a **small number of high-conviction long entries** on higher timeframes, not to generate frequent intraday signals. • Because of the low trade count, results should NOT be interpreted as statistically strong or “proven” – they are only one sample of how this logic would have behaved on past data. Please keep this in mind when you look at the equity curve and performance metrics. A beautiful curve with only a handful of trades is still just a small sample. ──────────────────────── 6. How to use this strategy (step-by-step) ──────────────────────── 1. Add the script to your chart. 2. Open the **Inputs** tab: - Set the backtest start year. - Decide whether to use Oscillator-based entry/exit, Stochastic confirmation, and EMA Exit Filter. - Optionally enable SL, TP, and Risk/Reward exits. 3. Open the **Properties** tab: - Set a realistic account size if you want. - Set order size to a realistic % of equity (e.g. 1–2%). - Confirm that commission and slippage are realistic for your broker. 4. Run the backtest: - Look at Net Profit, Max Drawdown, number of trades, and equity curve. - Remember that a low trade count means the statistics are not very strong. 5. Experiment: - Tweak thresholds (`entryLevel`, `exitLevel`), Stochastic settings, EMA length, and risk params. - See how the metrics and trade frequency change. 6. Forward-test: - Before using any idea in live trading, forward-test on a demo account and observe behaviour in real time. ──────────────────────── 7. Originality and usefulness (why this is more than a mashup) ──────────────────────── This script is not intended to be a random visual mashup of indicators. It is designed as a coherent, testable strategy with clear roles for each component: • Range Oscillator: - Handles mean vs. range-expansion states via an adaptive, ATR-normalized metric. • Stochastic: - Acts as a timing filter to avoid entering purely on extremes and instead waits for momentum to turn. • EMA Exit Filter: - Trend-slope-based safety net to exit when the medium-term direction changes against the position. • Risk module: - Provides practical, rule-based exits: SL, TP, and R-multiple exit, which are useful for structuring risk even if you modify the core logic. It aims to give traders a ready-made **framework to study and modify**, not a black box or “signals” product. ──────────────────────── 8. Limitations and good practices ──────────────────────── • No single strategy works on all markets or in all regimes. • This script is long-only; it does not short the market. • Performance can degrade when market structure changes. • Overfitting (curve fitting) is a real risk if you endlessly tweak parameters to maximise historical profit. Good practices: - Test on multiple symbols and timeframes. - Focus on stability and drawdown, not only on how high the profit line goes. - View this as a learning tool and a basis for your own research. ──────────────────────── 9. Licensing and credits ──────────────────────── • Core oscillator idea & base code: - “Range Oscillator (Zeiierman)” - © Zeiierman, licensed under CC BY-NC-SA 4.0. • Strategy logic, Stochastic confirmation, EMA Exit Filter, and risk-management layer: - Modifications by jokiniemi. Please respect both the original license and TradingView House Rules if you fork or republish any part of this script. ──────────────────────── 10. No payments / no vendor pitch ──────────────────────── • This script is completely FREE to use on TradingView. • There is no paid subscription, no external payment link, and no private signals group attached to it. • If you have questions, please use TradingView’s comment system or private messages instead of expecting financial advice. Use this script as a tool to learn, experiment, and build your own understanding of markets. ──────────────────────── 11. Example backtest settings used in screenshots ──────────────────────── To avoid any confusion about how the results shown in screenshots were produced, here is one concrete example configuration: • Symbol: BTCUSDT (or similar major BTC pair) • Timeframe: 1D (Daily) • Backtest period: from 2018 to the most recent data • Initial capital: 10 000 • Order size type: Percent of equity • Order size: 2% per trade • Commission: 0.1% • Slippage: 3 ticks • Risk settings: Stop Loss and Take Profit disabled by default, Risk/Reward exit disabled by default • Filters: Range Oscillator entry/exit enabled, Stochastic confirmation enabled, EMA Exit Filter enabled If you change any of these settings (symbol, timeframe, risk per trade, commission, slippage, filters, etc.), your results will look different. Please always adapt the configuration to your own risk tolerance, market, and trading style.
אסטרטגיית Pine Script®
מאת ‎jokiniemi‎
Braid Filter StrategyThis strategy is like a sophisticated set of traffic lights and speed limit signs for trading. It only allows a trade when multiple indicators line up to confirm a strong move, giving it its "Braid Filter" name—it weaves together several conditions. The strategy is set up to use 100% of your account equity (your trading funds) on a trade and does not "pyramid" (it won't add to an existing trade). 1. The Main Trend Check (The Traffic Lights) The strategy uses three main filters that must agree before it considers a trade. A. The "Chad Filter" (Direction & Strength) This is the heart of the strategy, a custom combination of three different Moving AveragesThese averages have fast, medium, and slow settings (3, 7, and 14 periods). Go Green (Buy Signal): The fastest average is higher than the medium average, AND the three averages are sufficiently separated (not tangled up, which indicates a strong move). Go Red (Sell Signal): The medium average is higher than the fastest average, AND the three averages are sufficiently separated. Neutral (Wait): If the averages are tangled or the separation isn't strong enough. Key Trigger: A primary condition for a signal is when the Chad Filter changes color (e.g., from Red/Grey to Green). B. The EMA Trend Bars (Secondary Confirmation) This is a simpler, longer-term filter using a 34-period Exponential Moving Average (EMA). It checks if the current candle's average price is above or below this EMA. Green Bars: The price is above the 34 EMA (Bullish Trend). Red Bars: The price is below the 34 EMA (Bearish Trend). Trades only happen if the signal direction matches the bar color. For a Buy, the bar must be Green. For a Sell, the bar must be Red. C. ADX/DI Filter (The Speed Limit Sign) This uses the Average Directional Index (ADX) and Directional Movement Indicators (DI) to check if a trend is actually in motion and getting stronger. Must-Have Conditions: The ADX value must be above 20 (meaning there is a trend, not just random movement). The ADX line must be rising (meaning the trend is accelerating/getting stronger). The strategy will only trade when the trend is strong and building momentum. 2. The Trading Action (Entry and Exit) When all three filters (Chad Filter color change, EMA Trend Bar color, and ADX strength/slope) align, the strategy issues a signal, but it doesn't enter immediately. Entry Strategy (The "Wait-for-Confirmation" Approach): When a Buy Signal appears, the strategy sets a "Buy Stop" order at the signal candle's closing price. It then waits for up to 3 candles (Candles Valid for Entry). The price must move up and hit that Buy Stop price within those 3 candles to confirm the move and enter the trade. A Sell Signal works the same way but uses a "Sell Stop" at the closing price, waiting for the price to drop and hit it. Risk Management (Stop Loss and Take Profit): Stop Loss: To manage risk, the strategy finds a recent significant low (for a Buy) or high (for a Sell) over the last 20 candles and places the Stop Loss there. This is a logical place where the current move would be considered "broken" if the price reaches it. Take Profit: It uses a fixed Risk:Reward Ratio (set to 1.5 by default). This means the potential profit (Take Profit distance) is $1.50 for every $1.00 of risk (Stop Loss distance). 3. Additional Controls Time Filter: You can choose to only allow trades during specific hours of the day. Visuals: It shows a small triangle on the chart where the signal happens and colors the background to reflect the Chad Filter's trend (Green/Red/Grey) and the candle bars to show the EMA trend (Lime/Red). 🎯 Summary of the Strategy's Goal This strategy is designed to capture strong, confirmed momentum moves. It uses a fast, custom indicator ("Chad Filter") to detect the start of a new move, confirms that move with a slower trend filter (34 EMA), and then validates the move's strength with the ADX. By waiting a few candles for the price to hit the entry level, it aims to avoid false signals.
אסטרטגיית Pine Script®
מאת ‎ChadAnt‎
7
Braid Filter StrategyAnother of TradeIQ's youtube strategies. It looks a little messy but it combines all the indicators into one so there are no extra panes. This strategy is like a sophisticated set of traffic lights and speed limit signs for trading. It only allows a trade when multiple indicators line up to confirm a strong move, giving it its "Braid Filter" name—it weaves together several conditions. The strategy is set up to use 100% of your account equity (your trading funds) on a trade and does not "pyramid" (it won't add to an existing trade). 1. The Main Trend Check (The Traffic Lights) The strategy uses three main filters that must agree before it considers a trade. A. The "Braid Filter" (Direction & Strength) This is the heart of the strategy, a custom combination of three different Moving Averages These averages have fast, medium, and slow settings (3, 7, and 14 periods). Go Green (Buy Signal): The fastest average is higher than the medium average, AND the three averages are sufficiently separated (not tangled up, which indicates a strong move). Go Red (Sell Signal): The medium average is higher than the fastest average, AND the three averages are sufficiently separated. Neutral (Wait): If the averages are tangled or the separation isn't strong enough. Key Trigger: A primary condition for a signal is when the Chad Filter changes color (e.g., from Red/Grey to Green). B. The EMA Trend Bars (Secondary Confirmation) This is a simpler, longer-term filter using a 34-period Exponential Moving Average (EMA). It checks if the current candle's average price is above or below this EMA. Green Bars: The price is above the 34 EMA (Bullish Trend). Red Bars: The price is below the 34 EMA (Bearish Trend). Trades only happen if the signal direction matches the bar color. For a Buy, the bar must be Green. For a Sell, the bar must be Red. C. ADX/DI Filter (The Speed Limit Sign) This uses the Average Directional Index (ADX) and Directional Movement Indicators (DI) to check if a trend is actually in motion and getting stronger. Must-Have Conditions: The ADX value must be above 20 (meaning there is a trend, not just random movement). The ADX line must be rising (meaning the trend is accelerating/getting stronger). The strategy will only trade when the trend is strong and building momentum. 2. The Trading Action (Entry and Exit) When all three filters (Chad Filter color change, EMA Trend Bar color, and ADX strength/slope) align, the strategy issues a signal, but it doesn't enter immediately. Entry Strategy (The "Wait-for-Confirmation" Approach): When a Buy Signal appears, the strategy sets a "Buy Stop" order at the signal candle's closing price. It then waits for up to 3 candles (Candles Valid for Entry). The price must move up and hit that Buy Stop price within those 3 candles to confirm the move and enter the trade. A Sell Signal works the same way but uses a "Sell Stop" at the closing price, waiting for the price to drop and hit it. Risk Management (Stop Loss and Take Profit): Stop Loss: To manage risk, the strategy finds a recent significant low (for a Buy) or high (for a Sell) over the last 20 candles and places the Stop Loss there. This is a logical place where the current move would be considered "broken" if the price reaches it. Take Profit: It uses a fixed Risk:Reward Ratio (set to 1.5 by default). This means the potential profit (Take Profit distance) is $1.50 for every $1.00 of risk (Stop Loss distance). 3. Additional Controls Time Filter: You can choose to only allow trades during specific hours of the day. Visuals: It shows a small triangle on the chart where the signal happens and colors the background to reflect the Chad Filter's trend (Green/Red/Grey) and the candle bars to show the EMA trend (Lime/Red). 🎯 Summary of the Strategy's Goal This strategy is designed to capture strong, confirmed momentum moves. It uses a fast, custom indicator ("Chad Filter") to detect the start of a new move, confirms that move with a slower trend filter (34 EMA), and then validates the move's strength with the ADX. By waiting a few candles for the price to hit the entry level, it aims to avoid false signals.
אסטרטגיית Pine Script®
מאת ‎ChadAnt‎
1
Stochastic + Bollinger Bands Multi-Timeframe StrategyThis strategy fuses the Stochastic Oscillator from the 4-hour timeframe with Bollinger Bands from the 1-hour timeframe, operating on a 10-hour chart to capture a unique volatility rhythm and temporal alignment discovered through observational alpha. By blending momentum confirmation from the higher timeframe with short-term volatility extremes, the strategy leverages what some traders refer to as “rotating volatility” — a phenomenon where multi-timeframe oscillations sync to reveal hidden trade opportunities. 🧠 Strategy Logic ✅ Long Entry Condition: Stochastic on the 4H timeframe: %K crosses above %D Both %K and %D are below 20 (oversold zone) Bollinger Bands on the 1H timeframe: Price crosses above the lower Bollinger Band, indicating a potential reversal → A long trade is opened when both momentum recovery and volatility reversion align. ✅ Long Exit Condition: Stochastic on the 4H: %K crosses below %D Both %K and %D are above 80 (overbought zone) Bollinger Bands on the 1H: Price reaches or exceeds the upper Bollinger Band, suggesting exhaustion → The long trade is closed when either signal suggests a potential reversal or overextension. 🧬 Temporal Structure & Alpha This strategy is deployed on a 10-hour chart — a non-standard timeframe that may align more effectively with multi-timeframe mean reversion dynamics. This subtle adjustment exploits what some traders identify as “temporal drift” — the desynchronization of volatility across timeframes that creates hidden rhythm in price action. → For example, Stochastic on 4H (lookback 17) and Bollinger Bands on 1H (lookback 20) may periodically sync around 10H intervals, offering unique alpha windows. 📊 Indicator Components 🔹 Stochastic Oscillator (4H, Length 17) Detects momentum reversals using %K and %D crossovers Helps define overbought/oversold zones from a mid-term view 🔹 Bollinger Bands (1H, Length 20, ±2 StdDev) Measures price volatility using standard deviation around a moving average Entry occurs near lower band (support), exits near upper band (resistance) 🔹 Multi-Timeframe Logic Uses request.security() to safely reference 4H and 1H indicators from a 10H chart Avoids repainting by using closed higher-timeframe candles only 📈 Visualization A plot selector input allows toggling between: Stochastic Plot (%K & %D, with overbought/oversold levels) Bollinger Bands Plot (Upper, Basis, Lower from 1H data) This helps users visually confirm entry/exit triggers in real time. 🛠 Customization Fully configurable Stochastic and BB settings Timeframes are independently adjustable Strategy settings like position sizing, slippage, and commission are editable ⚠️ Disclaimer This strategy is intended for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any asset. Market conditions vary, and past performance does not guarantee future results. Always test any trading strategy in a simulated environment and consult a licensed financial advisor before making real-world investment decisions.
אסטרטגיית Pine Script®
מאת ‎RWCS_LTD‎
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 :
אסטרטגיית Pine Script®
מאת ‎TFlab‎
18
EMA Cross + RSI + ADX - Autotrade Strategy V2Overview A versatile trend-following strategy combining EMA 9/21 crossovers with RSI momentum filtering and optional ADX trend strength confirmation. Designed for both cryptocurrency and traditional futures/options markets with built-in stop loss management and automated position reversals. Key Features Multi-Market Compatibility: Works on both crypto futures (Bitcoin, Ethereum) and traditional markets (NIFTY, Bank NIFTY, S&P 500 futures, equity options) Triple Confirmation System: EMA crossover + RSI filter + ADX strength (optional) Automated Risk Management: 2% stop loss with wick-touch detection Position Auto-Reversal: Opposite signals automatically close and reverse positions Webhook Ready: Six distinct alert messages for automation (Entry Buy/Sell, Close Long/Short, SL Hit Long/Short) Performance Metrics NIFTY Futures (15min): 50%+ win rate with ADX filter OFF Crypto Markets: Requires extensive backtesting before live deployment Optimal Timeframes: 15-minute to 1-hour charts (patience required for higher timeframes) Strategy Logic Entry Signals: LONG: EMA 9 crosses above EMA 21 + RSI > 55 + ADX > 20 (if enabled) SHORT: EMA 9 crosses below EMA 21 + RSI < 45 + ADX > 20 (if enabled) Exit Signals: Opposite EMA crossover (auto-closes current position) Stop loss hit at 2% from entry price (tracks candle wicks) Technical Indicators: Fast EMA: 9-period (short-term trend) Slow EMA: 21-period (primary trend) RSI: 14-period with 55/45 thresholds (momentum confirmation) ADX: 14-period with 20 threshold (trend strength filter - optional) Market-Specific Settings Traditional Markets (NIFTY, Bank NIFTY, S&P Futures, Options) Recommended Settings: ADX Filter: Turn OFF (less choppy, cleaner trends) Timeframe: 15-minute chart Win Rate: 50%+ on NIFTY Futures Why No ADX: Traditional markets have more institutional participation and smoother price action, making ADX unnecessary Cryptocurrency Markets (BTC, ETH, Altcoins) Recommended Settings: ADX Filter: Turn ON (ADX > 20) Timeframe: 15-minute to 1-hour Extensive backtesting required before live trading Why ADX: Crypto markets are highly volatile and prone to false breakouts; ADX filters low-quality chop Best Practices ✅ Backtest thoroughly on your specific instrument and timeframe ✅ Use larger timeframes (1H, 4H) for higher quality signals and better risk/reward ✅ Adjust RSI thresholds based on market volatility (try 52/48 for more signals, 60/40 for fewer but stronger) ✅ Monitor ADX effectiveness - disable for traditional markets, enable for crypto ✅ Proper position sizing - adjust default_qty_value based on your capital and instrument price ✅ Paper trade first - test for 2-4 weeks before risking real capital Risk Management Fixed 2% stop loss per trade (adjustable) Stop loss tracks candle wicks for accurate execution Positions auto-reverse on opposite signals (no manual intervention needed) 0.075% commission built into backtest (adjust for your broker) Customization Options All parameters are adjustable via inputs: EMA periods (default: 9/21) RSI length and thresholds (default: 14-period, 55/45 levels) ADX length and threshold (default: 14-period, 20 threshold) Stop loss percentage (default: 2%) Webhook Automation This strategy includes six distinct alert messages for automated trading: "Entry Buy" - Long position opened "Entry Sell" - Short position opened "Close Long" - Long position closed on opposite crossover "Close Short" - Short position closed on opposite crossover "SL Hit Long" - Long stop loss triggered "SL Hit Short" - Short stop loss triggered Compatible with Delta Exchange, Binance Futures, 3Commas, Alertatron, and other webhook platforms. Important Notes ⚠️ Crypto markets require extensive backtesting - volatility patterns differ significantly from traditional markets ⚠️ Higher timeframes = better results - 15min works but 1H/4H provide cleaner signals ⚠️ ADX toggle is critical - OFF for traditional markets, ON for crypto ⚠️ Not financial advice - always conduct your own research and use proper risk management ⚠️ Past performance ≠ future results - backtest results may not reflect live trading conditions Disclaimer This strategy is for educational and informational purposes only. Trading futures and options involves substantial risk of loss. Always backtest thoroughly, start with paper trading, and never risk more than you can afford to lose. The author assumes no responsibility for any trading losses incurred using this strategy.
אסטרטגיית Pine Script®
מאת ‎varuns_back‎
5
週一普跌策略 Monday shit Strategy Strategy Description / 策略敘述 EN This strategy takes a short position at the start of each Monday, based on the hypothesis that cryptocurrency markets tend to experience post-weekend risk-off behavior. The system enters a full-equity short position at the Tokyo open (Taipei 08:00), aiming to capture Monday downside pressure resulting from accumulated weekend information and macro sentiment adjustments when traditional financial markets reopen. Risk management uses fixed percentage take-profit and stop-loss levels, emphasizing asymmetric reward-to-risk (large occasional gains, small frequent losses). The model reflects the increasing alignment between crypto price behavior and traditional financial market cycles. ZH-TW 本策略於每週一開盤時做空，基於假設加密資產在週末後具有風險釋放與補跌傾向。 系統會在台北時間早上 08:00 以全倉做空，目標捕捉因週末累積消息與傳統金融市場重新開盤所造成的下跌壓力。 風控採固定止盈、止損百分比，強調高報酬／低風險的不對稱結構（小虧多次、偶爾大賺）。 此模型反映加密貨幣市場行為與華爾街週期愈趨一致的市場現象。
אסטרטגיית Pine Script®
מאת ‎crypto_two_face‎
FVG Session Break Strategy with ATR RR🧠 FVG Session Break Strategy with ATR RR — Timezone-Aware, Session-Savvy, and Risk-Calibrated This strategy captures high-probability reversals and continuations by combining Fair Value Gap (FVG) imbalances with session-based breakout logic and ATR-calibrated risk management. It’s designed for traders who want to exploit structural inefficiencies during key market sessions — with precision and portability across global exchanges. 🔍 Core Logic: Fair Value Gap Detection: Identifies bullish and bearish FVGs using a 3-bar displacement pattern. Session Breakout Engine: Tracks session highs and lows (Asian, London, NY) and triggers trades only when price breaks these levels — ensuring trades occur at meaningful inflection points. ATR-Based RR Control: Dynamically sizes stop-loss and take-profit levels using ATR × multiplier, maintaining consistent risk across volatility regimes. 🌐 Timezone-Aware Session Logic: Session boundaries are defined in UTC-5 (e.g., NY: 0930–1600) but automatically converted to the exchange’s local timezone using timestamp("Etc/GMT+5", ...). This ensures: Accurate session detection across all markets and assets No manual timezone adjustments needed Robust performance on crypto, forex, and global equities 📈 Visuals: Session highs and lows plotted in orange Bullish and bearish FVGs marked with green and red triangles Strategy entries and exits shown on chart with full RR logic This strategy is ideal for traders who want to combine structural edge with session context and disciplined risk.
אסטרטגיית Pine Script®
מאת ‎slopip‎
QQQ TimingThis is a trend-following position trading strategy designed for the QQQ and the leveraged ETF QLD (ProShares Ultra QQQ). The primary goal is to capture multi-month holds for maximal profit. Key Instruments & Performance The strategy performs best with QLD, which yields far superior results compared to QQQ. TQQQ (triple-leveraged) results in higher drawdowns and is not the optimal choice. Important: The system is not intended for use with other indexes, individual stocks, or investments (like crypto or gold), as performance can vary widely. Buy Signals The strategy's signals are rooted in the S&P 500 Index (SPX), as testing showed it provides more reliable triggers than using QQQ itself. Primary Buy Signal (Credit to IBD/Mike Webster): The SPX triggers a buy when its low closes above the 21-day Exponential Moving Average (EMA) for three consecutive days. Refinement with Downtrend Lines: During corrective or bear periods, results and drawdowns can be significantly improved by incorporating downtrend lines. These lines connect lower highs. The strategy waits for the price to close above a drawn downtrend line before executing a buy. This refinement can modify the primary signal, either by allowing for an earlier entry or, in some cases, completely nullifying a false signal until the trend change proves itself. Risk Management & Exit Strategy Initial Buy Risk: A 3.7% stop loss is applied immediately upon the initial entry. Initial Exit Rule: An exit is required if the QQQ's low drops below the 50-day Simple Moving Average (SMA). Note: The 3.7% stop often provides protection when the initial buy occurs below the 50-day SMA. However, if QQQ is already trading above its 50-day SMA at the time of the SPX signal (indicating relative strength), historically, it has been better to use the 50-day SMA rule to give the position more room to run. Trend Exit (Profit-Taking): To stay in a strong trend for the optimal amount of time, the long position is exited when a moving average crossover to the downside is triggered, based around the 107-day Simple Moving Average (SMA).
אסטרטגיית Pine Script®
מאת ‎market_quester‎
RastaRasta — Educational Strategy (Pine v5) Momentum · Smoothing · Trend Study Overview The Rasta Strategy is a visual and educational framework designed to help traders study momentum transitions using the interaction between a fast-reacting EMA line and a slower smoothed reference line. It is not a signal generator or profit system; it’s a learning tool for understanding how smoothing, crossovers, and filters interact under different market conditions. The script displays: A primary EMA line (the fast reactive wave). A Smoothed line (using your chosen smoothing method). Optional fog zones between them for quick visual context. Optional DNA rungs connecting both lines to illustrate volatility compression and expansion. Optional EMA 8 / EMA 21 trend filter to observe higher-time-frame alignment. Core Idea The Rasta model focuses on wave interaction. When the fast EMA crosses above the smoothed line, it reflects a shift in short-term momentum relative to background trend pressure. Cross-unders suggest weakening or reversal. Rather than treating this as a trading “signal,” use it to observe structure, study trend alignment, and test how smoothing type affects reaction speed. Smoothing Types Explained The script lets you experiment with multiple smoothing techniques: Type Description Use Case SMA (Simple Moving Average) Arithmetic mean of the last n values. Smooth and steady, but slower. Trend-following studies; filters noise on higher time frames. EMA (Exponential Moving Average) Weights recent data more. Responds faster to new price action. Momentum or reactive strategies; quick shifts and reversals. RMA (Relative Moving Average) Used internally by RSI; smooths exponentially but slower than EMA. Momentum confirmation; balanced response. WMA (Weighted Moving Average) Linear weights emphasizing the most recent data strongly. Intraday scalping; crisp but potentially noisy. None Disables smoothing; uses the EMA line alone. Raw comparison baseline. Each smoothing method changes how early or late the strategy reacts: Faster smoothing (EMA/WMA) = more responsive, good for scalping. Slower smoothing (SMA/RMA) = more stable, good for trend following. Modes of Study 🔹 Scalper Mode Use short EMA lengths (e.g., 3–5) and fast smoothing (EMA or WMA). Focus on 1 min – 15 min charts. Watch how quick crossovers appear near local tops/bottoms. Fog and rung compression reveal volatility contraction before bursts. Goal: study short-term rhythm and liquidity pulses. 🔹 Momentum Mode Use moderate EMA (5–9) and RMA smoothing. Ideal for 1 H–4 H charts. Observe how the fog color aligns with trend shifts. EMA 8 / 21 filter can act as macro bias; “Enter” labels will appear only in its direction when enabled. Goal: study sustained motion between pullbacks and acceleration waves. 🔹 Trend-Follower Mode Use longer EMA (13–21) with SMA smoothing. Great for daily/weekly charts. Focus on periods where fog stays unbroken for long stretches — these illustrate clear trend dominance. Watch rung spacing: tight clusters often precede consolidations; wide rungs signal expanding volatility. Goal: visualize slow-motion trend transitions and filter whipsaw conditions. Components EMA Line (Red): Fast-reacting short-term direction. Smoothed Line (Yellow): Reference trend baseline. Fog Zone: Green when EMA > Smoothed (up-momentum), red when below. DNA Rungs: Thin connectors showing volatility structure. EMA 8 / 21 Filter (optional): When enabled, the strategy will only allow Enter events if EMA 8 > EMA 21. Use this to study higher-trend gating effects. Educational Applications Momentum Visualization: Observe how the fast EMA “breathes” around the smoothed baseline. Trend Transitions: Compare different smoothing types to see how early or late reversals are detected. Noise Filtering: Experiment with fog opacity and smoothing lengths to understand trade-off between responsiveness and stability. Risk Concept Simulation: Includes a simple fixed stop-loss parameter (default 13%) for educational demonstrations of position management in the Strategy Tester. How to Use Add to Chart → “Strategy.” Works on any timeframe and instrument. Adjust Parameters: Length: base EMA speed. Smoothing Type: choose SMA, EMA, RMA, or WMA. Smoothing Length: controls delay and smoothness. EMA 8 / 21 Filter: toggles trend gating. Fog & Rungs: visual study options only. Study Behavior: Use Strategy Tester → List of Trades for entry/exit context. Observe how different smoothing types affect early vs. late “Enter” points. Compare trend periods vs. ranging periods to evaluate efficiency. Combine with External Tools: Overlay RSI, MACD, or Volume for deeper correlation analysis. Use replay mode to visualize crossovers in live sequence. Interpreting the Labels Enter: Marks where fast EMA crosses above the smoothed line (or when filter flips positive). Exit: Marks where fast EMA crosses back below. These are purely analytical markers — they do not represent trade advice. Educational Value The Rasta framework helps learners explore: Reaction time differences between moving-average algorithms. Impact of smoothing on signal clarity. Interaction of local and global trends. Visualization of volatility contraction (tight DNA rungs) and expansion (wide fog zones). It’s a sandbox for studying price structure, not a promise of profit. Disclaimer This script is provided for educational and research purposes only. It does not constitute financial advice, trading signals, or performance guarantees. Past market behavior does not predict future outcomes. Users are encouraged to experiment responsibly, record observations, and develop their own understanding of price behavior. Author: Michael Culpepper (mikeyc747) License: Educational / Open for study and modification with credit. Philosophy: “Learning the rhythm of the market is more valuable than chasing its profits.” — Rasta
אסטרטגיית Pine Script®
מאת ‎mikeyc747‎
EMA Wick A+ Retest StrategyThe EMA Wick A+ Retest Strategy is a precision pullback system built for high-probability trend entries. It uses a combination of: EMA 21 dynamic trend filtering ATR-based stop-loss and reward targeting (1:1.5 RR) Wick retest logic, where the lower wick must touch the EMA and represent at least 50% of the candle's range Optional filter: RSI > 50 for bullish momentum confirmation This strategy is designed to capture institutional-style entries after a clean pullback in an uptrend. ✅ Clean signals ✅ High risk-to-reward setups ✅ Built for swing trading or intraday with strong trend bias Ideal for Forex, Crypto, and Indices. Use responsibly. Backtest before live trading.
אסטרטגיית Pine Script®
מאת ‎khalifehkr‎
ETH Short-Term VWAP+EMA/RSI (ATR Risk, <1h) (James Logan)ETH Short-Term VWAP + EMA / RSI Strategy (ATR-based Risk Control) A short-term (< 1 hour) ETH trading system designed for intraday scalps and momentum swings on 5- to 15-minute charts. It blends trend confirmation (EMA 50 / 200) with intrabar structure (EMA 21 pullback & VWAP filter) and RSI momentum triggers, managing exits dynamically through ATR-based stop, take-profit, and trailing stop targets. Core logic • Long when RSI crosses above the threshold within an up-trend (EMA 50 > EMA 200) and price is above VWAP. • Short when RSI crosses below threshold within a down-trend (EMA 50 < EMA 200) and price is below VWAP. • Optional pullback confirmation to the 21-EMA for cleaner entries. • Risk defined by ATR-multiples for stop-loss, take-profit, and an adaptive trailing stop. • Automatic flat-out exit after a set number of bars (time-based close). Best use • 5 min – 15 min ETH/USDT charts (Binance, Bybit, Coinbase, etc.) • Works with both spot and perpetual data. • Tune ATR and RSI thresholds per venue; defaults are balanced for 0.05 % per-side fees. Key parameters • ATR SL × 1.6 ATR TP × 2.2 ATR Trail × 2.0 • RSI 50 cross | EMA 50/200 trend filter | VWAP confirmation • Default position sizing = USD-based (e.g. $1 000 per trade). Notes • All orders and exits are simulated at bar close; use 1-minute bar magnifier for finer fill modeling. • No repainting—uses only confirmed bar data. • Best validated with ≥ 200 trades and profit factor > 1.25 over multi-month backtests.
אסטרטגיית Pine Script®
מאת ‎jamesbmlogan1‎
Final Scalping Strategy - RELAXED ENTRY, jangan gopoh braderEMA Scalping System (MTF) Guide (1HR direction, 15 min entry) Objective To capture small, consistent profits by entering trades when 15-minute momentum aligns with the 1-hour trend. Trades are executed only during high-liquidity London and New York sessions to increase the probability of execution and success. Strategy Setup Chart Timeframe (Execution): 15-Minute (M15). Trend Filter (HTF): 1-Hour (H1) chart data is used for the long-term EMA. Long-Term Trend Filter: 50-Period EMA (based on H1 data). Short-Term Momentum Signal: 20-Period EMA (based on M15 data). Risk Metric: 14-period ATR for dynamic Stop Loss calculation. ✅ Trading Rules🟢 Long (Buy) Entry Conditions Session: Must be within the London (0800-1700 GMT) or New York (1300-2200 GMT) sessions. HTF Trend: Current price must be above the 1-Hour EMA 50. Momentum Signal: Price crosses above the 15-Minute EMA 20. Confirmation: The bar immediately following the crossover must close above the 15-Minute EMA 20. Ent ry: A market order is executed on the close of the confirmation candle. 🔴 Short (Sell) Entry Conditions Session: Must be within the London (0800-1700 GMT) or New York (1300-2200 GMT) sessions. HTF Trend: Current price must be below the 1-Hour EMA 50. Momentum Signal: Price crosses below the 15-Minute EMA 20. Confirmation: The bar immediately following the crossover must close below the 15-Minute EMA 20. Entry: A market order is executed on the close of the confirmation candle. 🛑 Trade Management & Exits Stop Loss (SL): Placed dynamically at 2.0 times the 14-period ATR distance from the entry candle's low (for Buys) or high (for Sells). Take Profit (TP): Placed dynamically to achieve a 1.5 Risk-Reward Ratio (RR) (TP distance = 1.5 x SL d istance). 📊 On-Chart Visuals Detailed Labels: A box appears on the entry bar showing the action, SL/TP prices, Risk/Reward in Pips, and the exact R:R ratio. Horizontal Lines: Dashed lines display the calculated SL (Red) and TP (Green) levels while the trade is active. Background: The chart background is shaded to highlight the active London and New York tradi ng sessions.
אסטרטגיית Pine Script®
מאת ‎hushedDiamond97573‎
XAutoTrade Alert Builder v1.1Automate Your NinjaTrader Trading with TradingView Alerts The XAutoTrade Alert Builder is a flexible Pine Script strategy that bridges TradingView alerts with NinjaTrader automated trading. Design custom entry signals, configure exit strategies, and execute trades automatically on your NinjaTrader account - all from TradingView charts. Key Features 📊 Flexible Signal Logic - Configure buy/sell signals independently - Compare any two indicators or price sources using crossover, crossunder, greater than, or less than logic - Visual buy/sell markers on chart for easy signal verification 🎯 Multiple Exit Methods 1. ATM Strategy - Leverage your existing NinjaTrader ATM templates for advanced order management 2. Source Signals - Exit positions based on opposite entry signals 3. Fixed Levels - Set stop loss and profit targets using ticks or percentage ⚙️ NinjaTrader Integration - Direct webhook integration with XAutoTrade backend service - Multi-account support (trade multiple accounts simultaneously) - Position sizing and max position limits - Market or limit order types with configurable offset - Time-in-force options (DAY/GTC) - Active hours filter (US ET timezone) to control when alerts execute 🔐 Secure & Reliable - Webhook secret authentication - Symbol override capability - Real-time status indicator showing configuration readiness How It Works 1. Configure Entry Signals - Choose your buy/sell logic by comparing any two data sources (price, indicators, etc.) 2. Set Exit Strategy - Select ATM templates, signal-based exits, or fixed stop/profit levels 3. Connect to NinjaTrader - Enter your XAutoTrade webhook secret and account details 4. Create Alert - Use the strategy's alert system to send formatted JSON payloads to your XAutoTrade webhook 5. Trade Futures & Stocks Automatically - TradingView alerts trigger real trades in your NinjaTrader account Perfect For - Traders wanting to automate TradingView strategies in NinjaTrader - Users with existing ATM templates who want TradingView signal automation - Multi-account traders managing several NinjaTrader accounts - Anyone seeking a no-code bridge between TradingView and NinjaTrader Requirements - Active XAutoTrade account and subscription - NinjaTrader 8 with XAutoTrade AddOn installed - TradingView Premium/Pro account (for webhook alerts)
אסטרטגיית Pine Script®
מאת ‎ivytony‎
NEXT GEN INSPIRED BY OLIVER VELEZDYOR NFA 1. Initial Setup & Application Load the Strategy to your desired chart (e.g., EURUSD M5, as suggested by the script's backtest). Overlay: Ensure the script is set to overlay=true (which it is) so the signals and Moving Averages plot directly on the price chart. Equity Management: Review the initial strategy settings for capital and position sizing: Initial Capital: Defaults to 10,000. Default Qty Type: Set to strategy.percent_of_equity (22%), meaning 22% of your available equity is used per trade. Adjust this percentage based on your personal risk tolerance. 2. Reviewing Key Indicator Inputs The script uses default values that are optimized, but you can adjust them in the settings panel: Fast EMA: Defaults to 9 (e.g., a 9-period Exponential Moving Average). Slow EMA: Defaults to 21 (e.g., a 21-period Exponential Moving Average). These EMAs define the short-term trend. ATR: Defaults to 14 (Average True Range). Used to dynamically calculate volatility for SL/TP distances. Final R:R: Defaults to 4.5 (minimum R:R required for a signal). This is the core of the strategy's high reward goal. 3. Interpreting Entry Signals A trade signal is generated only when all conditions—EMA trend, "Elephant Logic" momentum, and non-ranging market—are met. Long Signal: Appears as a green triangle (▲) below the bar, labeled "COMBO". Short Signal: Appears as a red triangle (▼) above the bar, labeled "COMBO". Live Plan: Upon signal, a detailed label is immediately plotted on the chart showing the FULL BATTLE PLAN: SL: Calculated Stop Loss price. TP: Calculated Take Profit price (based on the Final R:R). Risk/Reward Pips: The calculated pips for the trade's risk and reward. R:R = 1:4.5: The exact Risk-to-Reward ratio. 4. Understanding Market Conditions & Visuals The script provides visuals to help you understand the current market state: Trend EMAs: The 9 EMA (green) and 21 EMA (purple/magenta) are plotted to show the underlying trend. Long trades only fire when Price > 9 EMA > 21 EMA. Short trades only fire when Price < 9 EMA < 21 EMA. Ranging Market (Rejection): Bars turn a light gray/silver when the proprietary "Reject Ranging" logic is active, indicating a low-volatility period. No new trades will be taken during these bars. Momentum Bar: Bars turn a gold/yellow color when the "Elephant Logic" (high-momentum, large-body candles over 2-3 periods) is detected, highlighting powerful price movement. 5. Execution and Exit Logic The strategy handles entry, scaling, and exit automatically: Entry: A market order is placed (strategy.entry) immediately upon the bar where the longSetup or shortSetup condition is met. Scaling Out (+1R): If the trade moves favorably by an amount equal to the initial risk (1R), the script closes a portion of the position (strategy.close with comment "+1R"). This partial exit locks in profit equivalent to the initial risk. Re-entry (Pyramiding): After the +1R exit, the strategy attempts a re-entry (LONG RE/SHORT RE diamond plot) if the price meets certain criteria near the 9 EMA, trying to capitalize on further trend continuation. Final Exits: Take Profit: A limit order is set at the calculated TP level (stopDist * minRR). Stop Loss: A stop order is set at the calculated SL level (stopDist * 1.3), slightly wider than the initial SL distance, likely to account for spread/slippage, ensuring the maximum loss is defined. Trailing Stop: A trailing stop is applied to the re-entry positions (LONG RE/SHORT RE) to protect profits as the market moves further in the direction of the trade.
אסטרטגיית Pine Script®
מאת ‎hushedDiamond97573‎
Range Trading StrategyOVERVIEW The Range Trading Strategy is a systematic trading approach that identifies price ranges from higher timeframe candles or trading sessions, tracks pivot points, and generates trading signals when range extremes are mitigated and confirmed by pivot levels. CORE CONCEPT The strategy is based on the principle that when a candle (or session) closes within the range of the previous candle (or session), that previous candle becomes a "range" with identifiable high and low extremes. When price breaks through these extremes, it creates trading opportunities that are confirmed by pivot levels. RANGE DETECTION MODES 1. HTF (Higher Timeframe) Mode: Automatically selects a higher timeframe based on the current chart timeframe Uses request.security() to fetch HTF candle data Range is created when an HTF candle closes within the previous HTF candle's range The previous HTF candle's high and low become the range extremes 2. Sessions Mode: - Divides the trading day into 4 sessions (UTC): * Session 1: 00:00 - 06:00 (6 hours) * Session 2: 06:00 - 12:00 (6 hours) * Session 3: 12:00 - 20:00 (8 hours) * Session 4: 20:00 - 00:00 (4 hours, spans midnight) - Tracks high, low, and close for each session - Range is created when a session closes within the previous session's range - The previous session's high and low become the range extremes PIVOT DETECTION Pivots are detected based on candle color changes (bullish/bearish transitions): 1. Pivot Low: Created when a bullish candle appears after a bearish candle Pivot low = minimum of the current candle's low and previous candle's low The pivot bar is the actual bar where the low was formed (current or previous bar) 2. Pivot High: Created when a bearish candle appears after a bullish candle Pivot high = maximum of the current candle's high and previous candle's high The pivot bar is the actual bar where the high was formed (current or previous bar) IMPORTANT: There is always only ONE active pivot high and ONE active pivot low at any given time. When a new pivot is created, it replaces the previous one. RANGE CREATION A range is created when: (HTF Mode) An HTF candle closes within the previous HTF candle's range AND a new HTF candle has just started (Sessions Mode) A session closes within the previous session's range AND a new session has just started Or Range Can Be Created when the Extreme of Another Range Gets Mitigated and We Have a Pivot low Just Above the Range Low or Pivot High just Below the Range High Range Properties: rangeHigh: The high extreme of the range rangeLow: The low extreme of the range highStartTime: The timestamp when the range high was actually formed (found by looping backwards through bars) lowStartTime: The timestamp when the range low was actually formed (found by looping backwards through bars) highMitigated / lowMitigated: Flags tracking whether each extreme has been broken isSpecial: Flag indicating if this is a "special range" (see Special Ranges section) RANGE MITIGATION A range extreme is considered "mitigated" when price interacts with it: High is mitigated when: high >= rangeHigh (any interaction at or above the level) Low is mitigated when: low <= rangeLow (any interaction at or below the level) Mitigation can happen: At the moment of range creation (if price is already beyond the extreme) At any point after range creation when price touches the extreme SIGNAL GENERATION 1. Pending Signals: When a range extreme is mitigated, a pending signal is created: a) BEARISH Pending Signal: - Triggered when: rangeHigh is mitigated - Confirmation Level: Current pivotLow - Signal is confirmed when: close < pivotLow - Stop Loss: Current pivotHigh (at time of confirmation) - Entry: Short position Signal Confirmation b) BULLISH Pending Signal: - Triggered when: rangeLow is mitigated - Confirmation Level: Current pivotHigh - Signal is confirmed when: close > pivotHigh - Stop Loss: Current pivotLow (at time of confirmation) - Entry: Long position IMPORTANT: There is only ever ONE pending bearish signal and ONE pending bullish signal at any given time. When a new pending signal is created, it replaces the previous one of the same type. 2. Signal Confirmation: - Bearish: Confirmed when price closes below the pivot low (confirmation level) - Bullish: Confirmed when price closes above the pivot high (confirmation level) - Upon confirmation, a trade is entered immediately - The confirmation line is drawn from the pivot bar to the confirmation bar TRADE EXECUTION When a signal is confirmed: 1. Position Management: - Any existing position in the opposite direction is closed first - Then the new position is entered 2. Stop Loss: - Bearish (Short): Stop at pivotHigh - Bullish (Long): Stop at pivotLow 3. Take Profit: - Calculated using Risk:Reward Ratio (default 2:1) - Risk = Distance from entry to stop loss - Target = Entry ± (Risk × R:R Ratio) - Can be disabled with "Stop Loss Only" toggle 4. Trade Comments: - "Range Bear" for short trades - "Range Bull" for long trades SPECIAL RANGES Special ranges are created when: - A range high is mitigated AND the current pivotHigh is below the range high - A range low is mitigated AND the current pivotLow is above the range low In these cases: - The pivot value is stored in an array (storedPivotHighs or storedPivotLows) - A "special range" is created with only ONE extreme: * If pivotHigh < rangeHigh: Creates a range with rangeHigh = pivotLow, rangeLow = na * If pivotLow > rangeLow: Creates a range with rangeLow = pivotHigh, rangeHigh = na - Special ranges can generate signals just like normal ranges - If a special range is mitigated on the creation bar or the next bar, it is removed entirely without generating signals (prevents false signals) Special Ranges REVERSE ON STOP LOSS When enabled, if a stop loss is hit, the strategy automatically opens a trade in the opposite direction: 1. Long Stop Loss Hit: - Detects when: position_size > 0 AND position_size <= 0 AND low <= longStopLoss - Action: Opens a SHORT position - Stop Loss: Current pivotHigh - Trade Comment: "Reverse on Stop" 2. Short Stop Loss Hit: - Detects when: position_size < 0 AND position_size >= 0 AND high >= shortStopLoss - Action: Opens a LONG position - Stop Loss: Current pivotLow - Trade Comment: "Reverse on Stop" The reverse trade uses the same R:R ratio and respects the "Stop Loss Only" setting. VISUAL ELEMENTS 1. Range Lines: - Drawn from the time when the extreme was formed to the mitigation point (or current time if not mitigated) - High lines: Blue (or mitigated color if mitigated) - Low lines: Red (or mitigated color if mitigated) - Style: SOLID - Width: 1 2. Confirmation Lines: - Drawn when a signal is confirmed - Extends from the pivot bar to the confirmation bar - Bearish: Red, solid line - Bullish: Green, solid line - Width: 1 - Can be toggled on/off STRATEGY SETTINGS 1. Range Detection Mode: - HTF: Uses higher timeframe candles - Sessions: Uses trading session boundaries 2. Auto HTF: - Automatically selects HTF based on current chart timeframe - Can be disabled to use manual HTF selection 3. Risk:Reward Ratio: - Default: 2.0 (2:1) - Minimum: 0.5 - Step: 0.5 4. Stop Loss Only: - When enabled: Trades only have stop loss (no take profit) - Trades close on stop loss or when opposite signal confirms 5. Reverse on Stop Loss: - When enabled: Hitting a stop loss opens opposite trade with stop at opposing pivot 6. Max Ranges to Display: - Limits the number of ranges kept in memory - Oldest ranges are purged when limit is exceeded KEY FEATURES 1. Dynamic Pivot Tracking: - Pivots update on every candle color change - Always maintains one high and one low pivot 2. Range Lifecycle: - Ranges are created when price closes within previous range - Ranges are tracked until mitigated - Mitigation creates pending signals - Signals are confirmed by pivot levels 3. Signal Priority: - Only one pending signal of each type at a time - New signals replace old ones - Confirmation happens on close of bar 4. Position Management: - Closes opposite positions before entering new trades - Tracks stop loss levels for reverse functionality - Respects pyramiding = 1 (only one position per direction) 5. Time-Based Drawing: - Uses time coordinates instead of bar indices for line drawing - Prevents "too far from current bar" errors - Lines can extend to any historical point USAGE NOTES - Best suited for trending and ranging markets - Works on any timeframe, but HTF mode adapts automatically - Sessions mode is ideal for intraday trading - Pivot detection requires clear candle color changes - Range detection requires price to close within previous range - Signals are generated on bar close, not intra-bar The strategy combines range identification, pivot tracking, and signal confirmation to create a systematic approach to trading breakouts and reversals based on price structure, past performance does not in any way predict future performance
אסטרטגיית Pine Script®
מאת ‎mindyourbuisness‎
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