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Combo Strategy 123 Reversal and ADXR This is combo strategies for get a cumulative signal. Result signal will return 1 if two strategies is long, -1 if all strategies is short and 0 if signals of strategies is not equal. First strategy This System was created from the Book "How I Tripled My Money In The Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies. The strategy buys at market, if close price is higher than the previous close during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50. The strategy sells at market, if close price is lower than the previous close price during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50. Secon strategy The Average Directional Movement Index Rating (ADXR) measures the strength of the Average Directional Movement Index (ADX). It's calculated by taking the average of the current ADX and the ADX from one time period before (time periods can vary, but the most typical period used is 14 days). Like the ADX, the ADXR ranges from values of 0 to 100 and reflects strengthening and weakening trends. However, because it represents an average of ADX, values don't fluctuate as dramatically and some analysts believe the indicator helps better display trends in volatile markets. WARNING: - For purpose educate only - This script to change bars colors.
Penunjuk Pine Script®
oleh HPotter
Combo Backtest 123 Reversal and Accelerator Oscillator (AC) This is combo strategies for get a cumulative signal. Result signal will return 1 if two strategies is long, -1 if all strategies is short and 0 if signals of strategies is not equal. First strategy This System was created from the Book "How I Tripled My Money In The Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies. The strategy buys at market, if close price is higher than the previous close during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50. The strategy sells at market, if close price is lower than the previous close price during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50. Second strategy The Accelerator Oscillator has been developed by Bill Williams as the development of the Awesome Oscillator. It represents the difference between the Awesome Oscillator and the 5-period moving average, and as such it shows the speed of change of the Awesome Oscillator, which can be useful to find trend reversals before the Awesome Oscillator does. WARNING: - For purpose educate only - This script to change bars colors.
Strategi Pine Script®
oleh HPotter
1
Combo Strategies 123 Reversal and Accelerator Oscillator (AC) This is combo strategies for get a cumulative signal. Result signal will return 1 if two strategies is long, -1 if all strategies is short and 0 if signals of strategies is not equal. First strategy This System was created from the Book "How I Tripled My Money In The Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies. The strategy buys at market, if close price is higher than the previous close during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50. The strategy sells at market, if close price is lower than the previous close price during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50. Second strategy The Accelerator Oscillator has been developed by Bill Williams as the development of the Awesome Oscillator. It represents the difference between the Awesome Oscillator and the 5-period moving average, and as such it shows the speed of change of the Awesome Oscillator, which can be useful to find trend reversals before the Awesome Oscillator does. WARNING: - This script to change bars colors.
Penunjuk Pine Script®
oleh HPotter
3
Combo Backtest 123 Reversal and Absolute Price Oscillator (APO) This is combo strategies for get a cumulative signal. Result signal will return 1 if two strategies is long, -1 if all strategies is short and 0 if signals of strategies is not equal. First strategy This System was created from the Book "How I Tripled My Money In The Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies. The strategy buys at market, if close price is higher than the previous close during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50. The strategy sells at market, if close price is lower than the previous close price during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50. Secon strategy The Absolute Price Oscillator displays the difference between two exponential moving averages of a security's price and is expressed as an absolute value. How this indicator works APO crossing above zero is considered bullish, while crossing below zero is bearish. A positive indicator value indicates an upward movement, while negative readings signal a downward trend. Divergences form when a new high or low in price is not confirmed by the Absolute Price Oscillator (APO). A bullish divergence forms when price make a lower low, but the APO forms a higher low. This indicates less downward momentum that could foreshadow a bullish reversal. A bearish divergence forms when price makes a higher high, but the APO forms a lower high. This shows less upward momentum that could foreshadow a bearish reversal. WARNING: - For purpose educate only - This script to change bars colors.
Strategi Pine Script®
oleh HPotter
2
Combo Strategies 123 Reversal and Absolute Price Oscillator This is combo strategies for get a cumulative signal. Result signal will return 1 if two strategies is long, -1 if all strategies is short and 0 if signals of strategies is not equal. First strategy This System was created from the Book "How I Tripled My Money In The Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies. The strategy buys at market, if close price is higher than the previous close during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50. The strategy sells at market, if close price is lower than the previous close price during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50. Secon strategy The Absolute Price Oscillator displays the difference between two exponential moving averages of a security's price and is expressed as an absolute value. How this indicator works APO crossing above zero is considered bullish, while crossing below zero is bearish. A positive indicator value indicates an upward movement, while negative readings signal a downward trend. Divergences form when a new high or low in price is not confirmed by the Absolute Price Oscillator (APO). A bullish divergence forms when price make a lower low, but the APO forms a higher low. This indicates less downward momentum that could foreshadow a bullish reversal. A bearish divergence forms when price makes a higher high, but the APO forms a lower high. This shows less upward momentum that could foreshadow a bearish reversal. WARNING: - This script to change bars colors.
Penunjuk Pine Script®
oleh HPotter
6
Combo Strategies 123 Reversal and 3-Bar-Reversal-Pattern This is combo strategies for get a cumulative signal. Result signal will return 1 if two strategies is long, -1 if all strategies is short and 0 if signals of strategies is not equal. First strategy This System was created from the Book "How I Tripled My Money In The Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies. The strategy buys at market, if close price is higher than the previous close during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50. The strategy sells at market, if close price is lower than the previous close price during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50. Secon strategy This startegy based on 3-day pattern reversal described in "Are Three-Bar Patterns Reliable For Stocks" article by Thomas Bulkowski, presented in January,2000 issue of Stocks&Commodities magazine. That pattern conforms to the following rules: - It uses daily prices, not intraday or weekly prices; - The middle day of the three-day pattern has the lowest low of the three days, with no ties allowed; - The last day must have a close above the prior day's high, with no ties allowed; - Each day must have a nonzero trading range. WARNING: - For purpose educate only - This script to change bars colors.
Strategi Pine Script®
oleh HPotter
Combo Strategies 123 Reversal and 3-Bar-Reversal-Pattern This is combo strategies for get a cumulative signal. Result signal will return 1 if two strategies is long, -1 if all strategies is short and 0 if signals of strategies is not equal. First strategy This System was created from the Book "How I Tripled My Money In The Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies. The strategy buys at market, if close price is higher than the previous close during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50. The strategy sells at market, if close price is lower than the previous close price during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50. Secon strategy This startegy based on 3-day pattern reversal described in "Are Three-Bar Patterns Reliable For Stocks" article by Thomas Bulkowski, presented in January,2000 issue of Stocks&Commodities magazine. That pattern conforms to the following rules: - It uses daily prices, not intraday or weekly prices; - The middle day of the three-day pattern has the lowest low of the three days, with no ties allowed; - The last day must have a close above the prior day's high, with no ties allowed; - Each day must have a nonzero trading range. WARNING: - This script to change bars colors.
Penunjuk Pine Script®
oleh HPotter
Combo Backtest 123 Reversal and 2/20 EMA This is combo strategies for get a cumulative signal. Result signal will return 1 if two strategies is long, -1 if all strategies is short and 0 if signals of strategies is not equal. First strategy This System was created from the Book "How I Tripled My Money In The Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies. The strategy buys at market, if close price is higher than the previous close during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50. The strategy sells at market, if close price is lower than the previous close price during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50. Secon strategy This indicator plots 2/20 exponential moving average. For the Mov Avg X 2/20 Indicator, the EMA bar will be painted when the Alert criteria is met. Please, use it only for learning or paper trading. Do not for real trading. WARNING: - For purpose educate only - This script to change bars colors.
Strategi Pine Script®
oleh HPotter
2
Combo Strategies 123 Reversal and 2/20 EMA This is combo strategies for get a cumulative signal. Result signal will return 1 if two strategies is long, -1 if all strategies is short and 0 if signals of strategies is not equal. First strategy This System was created from the Book "How I Tripled My Money In The Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies. The strategy buys at market, if close price is higher than the previous close during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50. The strategy sells at market, if close price is lower than the previous close price during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50. Secon strategy This indicator plots 2/20 exponential moving average. For the Mov Avg X 2/20 Indicator, the EMA bar will be painted when the Alert criteria is met. Please, use it only for learning or paper trading. Do not for real trading.
Penunjuk Pine Script®
oleh HPotter
2
XPloRR MA-Trailing-Stop StrategyXPloRR MA-Trailing-Stop Strategy Long term MA-Trailing-Stop strategy with Adjustable Signal Strength to beat Buy&Hold strategy None of the strategies that I tested can beat the long term Buy&Hold strategy. That's the reason why I wrote this strategy. Purpose: beat Buy&Hold strategy with around 10 trades. 100% capitalize sold trade into new trade. My buy strategy is triggered by the fast buy EMA (blue) crossing over the slow buy SMA curve (orange) and the fast buy EMA has a certain up strength. My sell strategy is triggered by either one of these conditions: the EMA(6) of the close value is crossing under the trailing stop value (green) or the fast sell EMA (navy) is crossing under the slow sell SMA curve (red) and the fast sell EMA has a certain down strength. The trailing stop value (green) is set to a multiple of the ATR(15) value. ATR(15) is the SMA(15) value of the difference between the high and low values. The scripts shows a lot of graphical information: The close value is shown in light-green. When the close value is lower then the buy value, the close value is shown in light-red. This way it is possible to evaluate the virtual losses during the trade. the trailing stop value is shown in dark-green. When the sell value is lower then the buy value, the last color of the trade will be red (best viewed when zoomed)(in the example, there are 2 trades that end in gain and 2 in loss (red line at end)) the EMA and SMA values for both buy and sell signals are shown as a line the buy and sell(close) signals are labeled in blue How to use this strategy? Every stock has it's own "DNA", so first thing to do is tune the right parameters to get the best strategy values voor EMA , SMA, Strength for both buy and sell and the Trailing Stop (#ATR). Look in the strategy tester overview to optimize the values Percent Profitable and Net Profit (using the strategy settings icon, you can increase/decrease the parameters) Then keep using these parameters for future buy/sell signals only for that particular stock. Do the same for other stocks. Important : optimizing these parameters is no guarantee for future winning trades! Here are the parameters: Fast EMA Buy: buy trigger when Fast EMA Buy crosses over the Slow SMA Buy value (use values between 10-20) Slow SMA Buy: buy trigger when Fast EMA Buy crosses over the Slow SMA Buy value (use values between 30-100) Minimum Buy Strength: minimum upward trend value of the Fast SMA Buy value (directional coefficient)(use values between 0-120) Fast EMA Sell: sell trigger when Fast EMA Sell crosses under the Slow SMA Sell value (use values between 10-20) Slow SMA Sell: sell trigger when Fast EMA Sell crosses under the Slow SMA Sell value (use values between 30-100) Minimum Sell Strength: minimum downward trend value of the Fast SMA Sell value (directional coefficient)(use values between 0-120) Trailing Stop (#ATR): the trailing stop value as a multiple of the ATR(15) value (use values between 2-20) Example parameters for different stocks (Start capital: 1000, Order=100% of equity, Period 1/1/2005 to now) compared to the Buy&Hold Strategy(=do nothing): BEKB(Bekaert): EMA-Buy=12, SMA-Buy=44, Strength-Buy=65, EMA-Sell=12, SMA-Sell=55, Strength-Sell=120, Stop#ATR=20 NetProfit: 996%, #Trades: 6, %Profitable: 83%, Buy&HoldProfit: 78% BAR(Barco): EMA-Buy=16, SMA-Buy=80, Strength-Buy=44, EMA-Sell=12, SMA-Sell=45, Strength-Sell=82, Stop#ATR=9 NetProfit: 385%, #Trades: 7, %Profitable: 71%, Buy&HoldProfit: 55% AAPL(Apple): EMA-Buy=12, SMA-Buy=45, Strength-Buy=40, EMA-Sell=19, SMA-Sell=45, Strength-Sell=106, Stop#ATR=8 NetProfit: 6900%, #Trades: 7, %Profitable: 71%, Buy&HoldProfit: 2938% TNET(Telenet): EMA-Buy=12, SMA-Buy=45, Strength-Buy=27, EMA-Sell=19, SMA-Sell=45, Strength-Sell=70, Stop#ATR=14 NetProfit: 129%, #Trade
Strategi Pine Script®
oleh XPl0RR
8
XPloRR MA-Buy ATR-Trailing-Stop Long Term Strategy Beating B&HXPloRR MA-Buy ATR-MA-Trailing-Stop Strategy Long term MA Trailing Stop strategy to beat Buy&Hold strategy None of the strategies that I tested can beat the long term Buy&Hold strategy. That's the reason why I wrote this strategy. Purpose: beat Buy&Hold strategy with around 10 trades. 100% capitalize sold trade into new trade. My buy strategy is triggered by the EMA(blue) crossing over the SMA curve(orange). My sell strategy is triggered by another EMA(lime) of the close value crossing the trailing stop(green) value. The trailing stop value(green) is set to a multiple of the ATR(15) value. ATR(15) is the SMA(15) value of the difference between high and low values. Every stock has it's own "DNA", so first thing to do is find the right parameters to get the best strategy values voor EMA, SMA and Trailing Stop. Then keep using these parameter for future buy/sell signals only for that particular stock. Do the same for other stocks. Here are the parameters: Exponential MA: buy trigger when crossing over the SMA value (use values between 11-50) Simple MA: buy trigger when EMA crosses over the SMA value (use values between 20 and 200) Stop EMA: sell trigger when Stop EMA of close value crosses under the trailing stop value (use values between 8 and 16) Trailing Stop #ATR: defines the trailing stop value as a multiple of the ATR(15) value Example parameters for different stocks (Start capital: 1000, Order=100% of equity, Period 1/1/2005 to now): BAR(Barco): EMA=11, SMA=82, StopEMA=12, Stop#ATR=9 Buy&HoldProfit: 45.82%, NetProfit: 294.7%, #Trades:8, %Profit:62.5%, ProfitFactor: 12.539 AAPL(Apple): EMA=12, SMA=45, StopEMA=12, Stop#ATR=6 Buy&HoldProfit: 2925.86%, NetProfit: 4035.92%, #Trades:10, %Profit:60%, ProfitFactor: 6.36 BEKB(Bekaert): EMA=12, SMA=42, StopEMA=12, Stop#ATR=7 Buy&HoldProfit: 81.11%, NetProfit: 521.37%, #Trades:10, %Profit:60%, ProfitFactor: 2.617 SOLB(Solvay): EMA=12, SMA=63, StopEMA=11, Stop#ATR=8 Buy&HoldProfit: 43.61%, NetProfit: 151.4%, #Trades:8, %Profit:75%, ProfitFactor: 3.794 PHIA(Philips): EMA=11, SMA=80, StopEMA=8, Stop#ATR=10 Buy&HoldProfit: 56.79%, NetProfit: 198.46%, #Trades:6, %Profit:83.33%, ProfitFactor: 23.07 I am very curious to see the parameters for your stocks and please make suggestions to improve this strategy.
Strategi Pine Script®
oleh XPl0RR
1
Extremum Range MA Crossover Strategy1. Principle of Work & Strategy Logic ⚙️📈 Main idea: The strategy tries to catch the moment of a breakout from a price consolidation range (flat) and the start of a new trend. It combines two key elements: Moving Average (MA) 📉: Acts as a dynamic support/resistance level and trend filter. Range Extremes (Range High/Low) 🔺🔻: Define the borders of the recent price channel or consolidation. The strategy does not attempt to catch absolute tops and bottoms. Instead, it enters an already formed move after the breakout, expecting continuation. Type: Trend-following, momentum-based. Timeframes: Works on different TFs (H1, H4, D), but best suited for H4 and higher, where breakouts are more meaningful. 2. Justification of Indicators & Settings ⚙️ A. Moving Average (MA) 📊 Why used: Core of the strategy. It smooths price fluctuations and helps define the trend. The price (via extremes) must cross the MA → signals a potential trend shift or strengthening. Parameters: maLength = 20: Default length (≈ one trading month, 20-21 days). Good balance between sensitivity & smoothing. Lower TF → reduce (10–14). Higher TF → increase (50). maSource: Defines price source (default = Close). Alternatives (HL2, HLC3) → smoother, less noisy MA. maType: Default = EMA (Exponential MA). Why EMA? Faster reaction to recent price changes vs SMA → useful for breakout strategies. Other options: SMA 🟦 – classic, slowest. WMA 🟨 – weights recent data stronger. HMA 🟩 – near-zero lag, but “nervous,” more false signals. DEMA/TEMA 🟧 – even faster & more sensitive than EMA. VWMA 🔊 – volume-weighted. ZLEMA ⏱ – reduced lag. 👉 Choice = tradeoff between speed of reaction & false signals. B. Range Extremes (Previous High/Low) 📏 Why used: Define borders of recent trading range. prevHigh = local resistance. prevLow = local support. Break of these levels on close = trigger. Parameters: lookbackPeriod = 5: Searches for highest high / lowest low of last 5 candles. Very recent range. Higher value (10–20) → wider, stronger ranges but rarer signals. 3. Entry & Exit Rules 🎯 Long signals (BUY) 🟢📈 Condition (longCondition): Previous Low crosses MA from below upwards. → Price bounced from the bottom & strong enough to push range border above MA. Execution: Auto-close short (if any) → open long. Short signals (SELL) 🔴📉 Condition (shortCondition): Previous High crosses MA from above downwards. → Price rejected from the top, upper border failed above MA. Execution: Auto-close long (if any) → open short. Exit conditions 🚪 Exit Long (exitLongCondition): Close below prevLow. → Uptrend likely ended, range shifts down. Exit Short (exitShortCondition): Close above prevHigh. → Downtrend likely ended, range shifts up. ⚠️ Important: Exit = only on candle close beyond extremes (not just wick). 4. Trading Settings ⚒️ overlay = true → indicators shown on chart. initial_capital = 10000 💵. default_qty_type = strategy.cash, default_qty_value = 100 → trades fixed $100 per order (not lots). Can switch to % of equity. commission_type = strategy.commission.percent, commission_value = 0.1 → default broker fee = 0.1%. Adjust for your broker! slippage = 3 → slippage = 3 ticks. Adjust to asset liquidity. currency = USD. margin_long = 100, margin_short = 100 → no leverage (100% margin). 5. Visualization on Chart 📊 The strategy draws 3 lines: 🔵 MA line (thickness 2). 🔴 Previous High (last N candles). 🟢 Previous Low (last N candles). Also: entry/exit arrows & equity curve shown in backtest. Disclaimer ⚠️📌 Risk Warning: This description & code are for educational purposes only. Not financial advice. Trading (Forex, Stocks, Crypto) carries high risk and may lead to full capital loss. You trade at your own risk. Testing: Always backtest & demo test first. Past results ≠ future profits. Responsibility: Author of this strategy & description is not responsible for your trading decisions or losses.
Strategi Pine Script®
oleh Script_Algo
Hazel nut BB Strategy, volume base- lite versionHazel nut BB Strategy, volume base — lite version Having knowledge and information in financial markets is only useful when a trader operates with a well-defined trading strategy. Trading strategies assist in capital management, profit-taking, and reducing potential losses. This strategy is built upon the core principle of supply and demand dynamics. Alongside this foundation, one of the widely used technical tools — the Bollinger Bands — is employed to structure a framework for profit management and risk control. In this strategy, the interaction of these tools is explained in detail. A key point to note is that for calculating buy and sell volumes, a lower timeframe function is used. When applied with a tick-level resolution, this provides the most precise measurement of buyer/seller flows. However, this comes with a limitation of reduced historical depth. Users should be aware of this trade-off: if precise tick-level data is required, shorter timeframes should be considered to extend historical coverage . The strategy offers multiple configuration options. Nevertheless, it should be treated strictly as a supportive tool rather than a standalone trading system. Decisions must integrate personal analysis and other instruments. For example, in highly volatile assets with narrow ranges, it is recommended to adjust profit-taking and stop-loss percentages to smaller values. ◉ Volume Settings • Buyer and seller volume (up/down volume) are requested from a lower timeframe, with an option to override the automatic resolution. • A global lookback period is applied to calculate moving averages and cumulative sums of buy/sell/delta volumes. • Ratios of buyers/sellers to total volume are derived both on the current bar and across the lookback window. ◉ Bollinger Band • Bands are computed using configurable moving averages (SMA, EMA, RMA, WMA, VWMA). • Inputs allow control of length, standard deviation multiplier, and offset. • The basis, upper, and lower bands are plotted, with a shaded background between them. ◉ Progress & Proximity • Relative position of the price to the Bollinger basis is expressed as percentages (qPlus/qMinus). • “Near band” conditions are triggered when price progress toward the upper or lower band exceeds a user-defined threshold (%). • A signed score (sScore) represents how far the close has moved above or below the basis relative to band width. ◉ Info Table • Optional compact table summarizing: • - Upper/lower band margins • - Buyer/seller volumes with moving averages • - Delta and cumulative delta • - Buyer/seller ratios per bar and across the window • - Money flow values (buy/sell/delta × price) for bar-level and summed periods • The table is neutral-colored and resizable for different chart layouts. ◉ Zone Event Gate • Tracks entry into and exit from “near band” zones. • Arming logic: a side is armed when price enters a band proximity zone. • Trigger logic: on exit, a trade event is generated if cumulative buyer or seller volume dominates over a configurable window. ◉ Trading Logic • Orders are placed only on zone-exit events, conditional on volume dominance. • Position sizing is defined as a fixed percentage of strategy equity. • Long entries occur when leaving the lower zone with buyer dominance; short entries occur when leaving the upper zone with seller dominance. ◉ Exit Rules • Open positions are managed by a strict priority sequence: • 1. Stop-loss (% of entry price) • 2. Take-profit (% of entry price) • 3. Opposite-side event (zone exit with dominance in the other direction) • Stop-loss and take-profit levels are configurable ◉ Notes • This lite version is intended to demonstrate the interaction of Bollinger Bands and volume-based dominance logic. • It provides a framework to observe how price reacts at band boundaries under varying buy/sell pressure, and how zone exits can be systematically converted into entry/exit signals. When configuring this strategy, it is essential to carefully review the settings within the Strategy Tester. Ensure that the chosen parameters and historical data options are correctly aligned with the intended use. Accurate back testing depends on applying proper configurations for historical reference. The figure below illustrates sample result and configuration type.
Strategi Pine Script®
oleh ata_sabanci
Strat Failed 2-Up/2-Down Scanner v2**Strat Failed 2-Up/2-Down Scanner** The Strat Failed 2-Up/2-Down Scanner is designed for traders using The Strat methodology, developed by Rob Smith, to identify key reversal patterns in any market and timeframe. This indicator detects two specific candlestick patterns: Failed 2-Up (bearish) and Failed 2-Down (bullish), which signal potential reversals when a directional move fails to follow through. **What It Does** - **Failed 2-Up**: Identifies a bearish candle where the low and high are higher than the previous candle’s low and high, but the close is below the open, indicating a failed attempt to continue an uptrend. These are marked with a red candlestick, a red downward triangle above the bar, and a table entry. - **Failed 2-Down**: Identifies a bullish candle where the high and low are lower than the previous candle’s high and low, but the close is above the open, signaling a failed downtrend. These are marked with a green candlestick, a green upward triangle below the bar, and a table entry. - A table in the top-right corner displays the signal type ("Failed 2-Up" or "Failed 2-Down") and the ticker symbol for quick reference. - Alerts are provided for both patterns, making the indicator compatible with TradingView’s screener for automated scanning. **How It Works** The indicator analyzes each candlestick’s high, low, and close relative to the previous candle: - Failed 2-Up: `low > low `, `high > high `, `close < open`. - Failed 2-Down: `high < high `, `low < low `, `close > open`. When these conditions are met, the indicator applies visual markers (colored bars and triangles) and updates the signal table. Alert conditions trigger notifications for integration with TradingView’s alert system. **How to Use** 1. Apply the indicator to any chart (stocks, forex, crypto, etc.) on any timeframe (e.g., 1-minute, hourly, daily). 2. Monitor the chart for red (Failed 2-Up) or green (Failed 2-Down) candlesticks with corresponding triangles. 3. Check the top-right table for the latest signal and ticker. 4. Set alerts by selecting “Failed 2-Up Detected” or “Failed 2-Down Detected” in TradingView’s alert menu to receive notifications (e.g., via email or app). 5. Use the signals to identify potential reversal setups in conjunction with other Strat-based analysis, such as swing levels or time-based strategies. **Originality** Unlike other Strat indicators that may focus on swing levels or complex candlestick combinations, this scanner specifically targets Failed 2-Up and Failed 2-Down patterns with clear, minimalist visualizations (bars, triangles, table) and robust alert functionality. Its simplicity makes it accessible for both novice and experienced traders using The Strat methodology. **Ideal For** Day traders, swing traders, and scalpers looking to capitalize on reversal signals in trending or ranging markets. The indicator is versatile for any asset class and timeframe, enhancing trade decision-making with The Strat’s pattern-based approach.
Penunjuk Pine Script®
oleh SmartGatorTrader
AltCoin & MemeCoin Index Correlation [Eddie_Bitcoin]🧠 Philosophy of the Strategy The AltCoin & MemeCoin Index Correlation Strategy by Eddie_Bitcoin is a carefully engineered trend-following system built specifically for the highly volatile and sentiment-driven world of altcoins and memecoins. This strategy recognizes that crypto markets—especially niche sectors like memecoins—are not only influenced by individual price action but also by the relative strength or weakness of their broader sector. Hence, it attempts to improve the reliability of trading signals by requiring alignment between a specific coin’s trend and its sector-wide index trend. Rather than treating each crypto asset in isolation, this strategy dynamically incorporates real-time dominance metrics from custom indices (OTHERS.D and MEME.D) and combines them with local price action through dual exponential moving average (EMA) crossovers. Only when both the asset and its sector are moving in the same direction does it allow for trade entries—making it a confluence-based system rather than a single-signal strategy. It supports risk-aware capital allocation, partial exits, configurable stop loss and take profit levels, and a scalable equity-compounding model. ✅ Why did I choose OTHERS.D and MEME.D as reference indices? I selected OTHERS.D and MEME.D because they offer a sector-focused view of crypto market dynamics, especially relevant when trading altcoins and memecoins. 🔹 OTHERS.D tracks the market dominance of all cryptocurrencies outside the top 10 by market cap. This excludes not only BTC and ETH, but also major stablecoins like USDT and USDC, making it a cleaner indicator of risk appetite across true altcoins. 🔹 This is particularly useful for detecting "Altcoin Season"—periods where capital rotates away from Bitcoin and flows into smaller-cap coins. A rising OTHERS.D often signals the start of broader altcoin rallies. 🔹 MEME.D, on the other hand, captures the speculative behavior of memecoin segments, which are often driven by retail hype and social media activity. It's perfect for timing momentum shifts in high-risk, high-reward tokens. By using these indices, the strategy aligns entries with broader sector trends, filtering out noise and increasing the probability of catching true directional moves, especially in phases of capital rotation and altcoin risk-on behavior. 📐 How It Works — Core Logic and Execution Model At its heart, this strategy employs dual EMA crossover detection—one pair for the asset being traded and one pair for the selected market index. A trade is only executed when both EMA crossovers agree on the direction. For example: Long Entry: Coin's fast EMA > slow EMA and Index's fast EMA > slow EMA Short Entry: Coin's fast EMA < slow EMA and Index's fast EMA < slow EMA You can disable the index filter and trade solely based on the asset’s trend just to make a comparison and see if improves a classic EMA crossover strategy. Additionally, the strategy includes: - Adaptive position sizing, based on fixed capital or current equity (compound mode) - Take Profit and Stop Loss in percentage terms - Smart partial exits when trend momentum fades - Date filtering for precise backtesting over specific timeframes - Real-time performance stats, equity tracking, and visual cues on chart ⚙️ Parameters & Customization 🔁 EMA Settings Each EMA pair is customizable: Coin Fast EMA: Default = 47 Coin Slow EMA: Default = 50 Index Fast EMA: Default = 47 Index Slow EMA: Default = 50 These control the sensitivity of the trend detection. A wider spread gives smoother, slower entries; a narrower spread makes it more responsive. 🧭 Index Reference The correlation mechanism uses CryptoCap sector dominance indexes: OTHERS.D: Dominance of all coins EXCLUDING Top 10 ones MEME.D: Dominance of all Meme coins These are dynamically calculated using: OTHERS_D = OTHERS_cap / TOTAL_cap * 100 MEME_D = MEME_cap / TOTAL_cap * 100 You can select: Reference Index: OTHERS.D or MEME.D Or disable the index reference completely (Don't Use Index Reference) 💰 Position Sizing & Risk Management Two capital allocation models are supported: - Fixed % of initial capital (default) - Compound profits, which scales positions as equity grows Settings: - Compound profits?: true/false - % of equity: Between 1% and 200% (default = 10%) This is critical for users who want to balance growth with risk. 🎯 Take Profit / Stop Loss Customizable thresholds determine automatic exits: - TakeProfit: Default = 99999 (disabled) - StopLoss: Default = 5 (%) These exits are percentage-based and operate off the entry price vs. current close. 📉 Trend Weakening Exit (Scale Out) If the position is in profit but the trend weakens (e.g., EMA color signals trend loss), the strategy can partially close a configurable portion of the position: - Scale Position on Weak Trend?: true/false - Scaled Percentage: % to close (default = 65%) This feature is useful for preserving profits without exiting completely. 📆 Date Filter Useful for segmenting performance over specific timeframes (e.g., bull vs bear markets): - Filter Date Range of Backtest: ON/OFF - Start Date and End Date: Custom time range OTHER PARAMETERS EXPLANATION (Strategy "Properties" Tab): - Initial Capital is set to 100 USD - Commission is set to 0.055% (The ones I have on Bybit) - Slippage is set to 3 ticks - Margin (short and long) are set to 0.001% to avoid "overspending" your initial capital allocation 📊 Visual Feedback and Debug Tools 📈 EMA Trend Visualization The slow EMA line is dynamically color-coded to visually display the alignment between the asset trend and the index trend: Lime: Coin and index both bullish Teal: Only coin bullish Maroon: Only index bullish Red: Both bearish This allows for immediate visual confirmation of current trend strength. 💬 Real-Time PnL Labels When a trade closes, a label shows: Previous trade return in % (first value is the effective PL) Green background for profit, Red for losses. 📑 Summary Table Overlay This table appears in a corner of the chart (user-defined) and shows live performance data including: Trade direction (yellow long, purple short) Emojis: 💚 for current profit, 😡 for current loss Total number of trades Win rate Max drawdown Duration in days Current trade profit/loss (absolute and %) Cumulative PnL (absolute and %) APR (Annualized Percentage Return) Each metric is color-coded: Green for strong results Yellow/orange for average Red/maroon for poor performance You can select where this appears: Top Left Top Right Bottom Left Bottom Right (default) 📚 Interpretation of Key Metrics Equity Multiplier: How many times initial capital has grown (e.g., “1.75x”) Net Profit: Total gains including open positions Max Drawdown: Largest peak-to-valley drop in strategy equity APR: Annualized return calculated based on equity growth and days elapsed Win Rate: % of profitable trades PnL %: Percentage profit on the most recent trade 🧠 Advanced Logic & Safety Features 🛑 “Don’t Re-Enter” Filter If a trade is closed due to StopLoss without a confirmed reversal, the strategy avoids re-entering in that same direction until conditions improve. This prevents false reversals and repetitive losses in sideways markets. 🧷 Equity Protection No new trades are initiated if equity falls below initial_capital / 30. This avoids overleveraging or continuing to trade when capital preservation is critical. Keep in mind that past results in no way guarantee future performance. Eddie Bitcoin
Strategi Pine Script®
oleh Eddie_Bitcoin
Script_Algo - High Low Range MA Crossover Strategy🎯 Core Concept This strategy uses modified moving averages crossover, built on maximum and minimum prices, to determine entry and exit points in the market. A key advantage of this strategy is that it avoids most false signals in trendless conditions, which is characteristic of traditional moving average crossover strategies. This makes it possible to improve the risk/reward ratio and, consequently, the strategy's profitability. 📊 How the Strategy Works Main Mechanism The strategy builds 4 moving averages: Two senior MAs (on high and low) with a longer period Two junior MAs (on high and low) with a shorter period Buy signal 🟢: when the junior MA of lows crosses above the senior MA of highs Sell signal 🔴: when the junior MA of highs crosses below the senior MA of lows As seen on the chart, it was potentially possible to make 9X on the WIFUSDT cryptocurrency pair in just a year and a half. However, be careful—such results may not necessarily be repeated in the future. Special Feature Position closing priority ❗: if an opposite signal arrives while a position is open, the strategy first closes the current position and only then opens a new one ⚙️ Indicator Settings Available Moving Average Types EMA - Exponential MA SMA - Simple MA SSMA - Smoothed MA WMA - Weighted MA VWMA - Volume Weighted MA RMA - Adaptive MA DEMA - Double EMA TEMA - Triple EMA Adjustable Parameters Senior MA Length - period for long-term moving averages Junior MA Length - period for short-term moving averages ✅ Advantages of the Strategy 🛡️ False Signal Protection - using two pairs of modified MAs reduces the number of false entries 🔄 Configuration Flexibility - ability to choose MA type and calculation periods ⚡ Automatic Switching - the strategy automatically closes the current position when receiving an opposite signal 📈 Visual Clarity - all MAs are displayed on the chart in different colors ⚠️ Disadvantages and Risks 📉 Signal Lag - like all MA-based strategies, it may provide delayed signals during sharp movements 🔁 Frequent Switching - in sideways markets, it may lead to multiple consecutive position openings/closings 📊 Requires Optimization - optimal parameters need to be selected for different instruments and timeframes 💡 Usage Recommendations Backtest - test the strategy's performance on historical data Optimize Parameters - select MA periods suitable for the specific trading instrument Use Filters - add additional filters to confirm signals Manage Risks - always use stop-loss and take-profit orders. You can safely connect to the exchange via webhook and enjoy trading. Good luck and profits to everyone!!
Strategi Pine Script®
oleh Script_Algo
Range FinderRange Finder Strategy for TradingView Overview The Range Finder Strategy is a sophisticated trading system designed for forex and cryptocurrency markets, leveraging dynamic range detection, wick-based rejection patterns, and EMA confluence to execute high-probability trades. This strategy identifies key price ranges using pivot points and triggers trades when price rejects from these boundaries with significant wick formations, aligning with the broader market trend as confirmed by EMA crossovers. It incorporates robust risk management, customizable parameters, and visual aids for clear trade visualization, making it suitable for both manual and automated trading on platforms like Bitget via webhook alerts. Strategy Components 1. Dynamic Range Detection Pivot Points: The strategy identifies range boundaries using pivot highs and lows, calculated with a user-defined Pivot Length (default: 5 bars left/right). These pivots mark significant swing points, defining the upper (range high) and lower (range low) boundaries of the price range. Visualization: The range high is plotted as an orange line, and the range low as a purple line, using a broken line style (plot.style_linebr) to show only confirmed pivot levels, providing a clear visual of the trading range. 2. Wick-Based Rejection Pattern Wick Detection: The strategy looks for rejection candles at the range boundaries, characterized by significant wicks. A wick is considered valid if its size is at least the user-defined Wick to Body Ratio (default: 1.1, or 10% larger than the candle body). Sell Signal: Triggered when the high exceeds the range high, the candle closes bearish (close < open), and the upper wick meets the ratio requirement. Buy Signal: Triggered when the low falls below the range low, the candle closes bullish (close > open), and the lower wick meets the ratio requirement. Purpose: These wicks indicate strong rejection at key levels, often signaling a reversal back into the range, providing high-probability entry points. 3. EMA Trend Confirmation EMA Calculation: Uses two Exponential Moving Averages (EMAs) calculated on a user-selectable timeframe (default: 5-minute): EMA 200: Long-term trend indicator (plotted in red). EMA 50: Short-term trend indicator (plotted in green). Crossover Logic: A bullish trend is confirmed when the EMA 50 crosses above the EMA 200 (ema_trend_up = true). A bearish trend is confirmed when the EMA 50 crosses below the EMA 200 (ema_trend_down = true). Confluence Requirement: Trades are only executed when the wick rejection aligns with the EMA trend (e.g., sell signals require close < ema200 and bearish trend; buy signals require close > ema200 and bullish trend). 4. Risk Management Position Sizing: Calculated based on the user-defined Account Balance (default: $10,000) and Risk Per Trade (default: 2%). The position size is determined as risk_amount / stop_distance, where stop_distance is derived from the Average True Range (ATR, default period: 14). Stop Loss (SL): Set using an ATR-based multiplier (SL Multiplier, default: 9.0). For sells, SL is placed above the high; for buys, below the low. Take Profit (TP): Set using an ATR-based multiplier (TP Multiplier, default: 6.0) scaled by the Risk:Reward Ratio (default: 6.0), ensuring a favorable reward-to-risk profile. Example: For a $10,000 account with 2% risk, if ATR is 0.5, the position size is 400 units, with SL and TP dynamically adjusted to market volatility. 5. Trade Execution Sell Entry: Triggered on a wick rejection above the range high, with bearish EMA confluence (ema_trend_down and close < ema200). Enters a short position with calculated SL and TP. Buy Entry: Triggered on a wick rejection below the range low, with bullish EMA confluence (ema_trend_up and close > ema200). Enters a long position with calculated SL and TP. Exit Logic: Uses strategy.exit to set SL and TP levels, closing trades when either is hit. 6. Visual Feedback Lines and Labels: Upon trade entry, the strategy plots: Red SL line and label (e.g., "SL: 123.45"). Green TP line and label (e.g., "TP: 120.00"). Entry line (red for sell, green for buy) labeled with "Sell (Range Rejection)" or "Buy (Range Rejection)". Customization: Users can adjust the Line Length (default: 25 bars) for how long lines persist and Label Position (left or right) for optimal chart visibility. 7. Alert Conditions Webhook Integration: Generates alerts for Bitget webhook integration, providing JSON-formatted messages with trade details (action, contracts, market position, size, price, symbol, and timestamp). Usage: Traders can set up automated trading by connecting these alerts to trading bots or platforms supporting webhooks.
Strategi Pine Script®
oleh thetraderlodge
Pivot Distance Strategy# Multi-Timeframe Pivot Distance Strategy ## Core Innovation & Originality This strategy revolutionizes moving average crossover trading by applying MA logic to **pivot distance relationships** instead of raw price data. Unlike traditional MA crossovers that react to price changes, this system reacts to **structural momentum changes** in how current price relates to recent significant pivot levels, creating earlier signals with fewer false positives. ## Methodology & Mathematical Foundation ### Pivot Distance Oscillator The strategy calculates: - **High Pivot Percentage**: (Current Close / Last Pivot High) × 100 - **Low Pivot Percentage**: (Last Pivot Low / Current Close) × 100 - **Pivot Distance**: High Pivot Percentage - Low Pivot Percentage This creates a standardized oscillator measuring market structure compression/expansion regardless of asset price or volatility. ### Multi-Timeframe Filter Higher timeframe analysis provides directional bias: - **HTF Long** → Allow long entries, force short exits - **HTF Short** → Allow short entries, force long exits - **HTF Squeeze** → Block all entries, force all exits ## Signal Generation Methods ### Method 1: Dual MA Crossover (Primary/Default) **Fast MA (14 EMA)** and **Slow MA (50 SMA)** applied to pivot distance values: - **Long Signal**: Fast MA crosses above Slow MA (accelerating bullish pivot momentum) - **Short Signal**: Fast MA crosses below Slow MA (accelerating bearish pivot momentum) **Key Advantage**: - Traditional: Fast MA(price) crosses Slow MA(price) - reacts to price changes - This Strategy: Fast MA(pivot distance) crosses Slow MA(pivot distance) - reacts to structural changes - Result: Earlier signals, better trend identification, fewer ranging market whipsaws ### Method 2: MA Cross Zero - **Long**: Pivot Distance MA crosses above zero - **Short**: Pivot Distance MA crosses below zero ### Method 3: Pivot Distance Breakout (Squeeze-Based) Uses dynamic threshold envelopes to detect compression/expansion cycles: - **Long**: Distance breaks above dynamic breakout threshold after squeeze - **Short**: Distance breaks below negative breakout threshold after squeeze **Note**: Only the Breakout method uses threshold envelopes; MA Cross modes operate without them for cleaner signals. ## Risk Management Integration - **ATR-Based Stops**: Entry ± (ATR × Multiplier) for stops/targets - **Trailing Stops**: Dynamic adjustment based on profit thresholds - **Cooldown System**: Prevents overtrading after stop-loss exits ## How to Use ### Setup (Default: MA Cross MA) 1. **Strategy Logic**: "MA Cross MA" for structural momentum signals 2. **MA Settings**: 14 EMA (fast) / 50 SMA (slow) - both adjustable 3. **Multi-Timeframe**: Enable HTF for trend alignment 4. **Risk Management**: ATR stop loss, ATR take profit ### Signal Interpretation - **Blue/Purple lines**: Fast/Slow MAs of pivot distance - **Green/Red histogram**: Positive/negative pivot distance - **Triangle markers**: MA crossover entry signals - **HTF display**: Shows higher timeframe bias (top-left) ### Trade Management - **Entry**: Clean MA crossover with HTF alignment - **Exit**: Opposite crossover, HTF change, or risk management triggers ## Unique Advantages 1. **Structural vs Price Momentum**: Captures market structure changes rather than just price movement, naturally filtering noise 2. **Multi-Modal Flexibility**: Three signal methods for different market conditions or strategies 3. **Timeframe Alignment**: HTF filtering improves win rates by preventing counter-trend trades
Strategi Pine Script®
oleh ky_yule1010
The Barking Rat LiteMomentum & FVG Reversion Strategy The Barking Rat Lite is a disciplined, short-term mean-reversion strategy that combines RSI momentum filtering, EMA bands, and Fair Value Gap (FVG) detection to identify short-term reversal points. Designed for practical use on volatile markets, it focuses on precise entries and ATR-based take profit management to balance opportunity and risk. Core Concept This strategy seeks potential reversals when short-term price action shows exhaustion outside an EMA band, confirmed by momentum and FVG signals: EMA Bands: Parameters used: A 20-period EMA (fast) and 100-period EMA (slow). Why chosen: - The 20 EMA is sensitive to short-term moves and reflects immediate momentum. - The 100 EMA provides a slower, structural anchor. When price trades outside both bands, it often signals overextension relative to both short-term and medium-term trends. Application in strategy: - Long entries are only considered when price dips below both EMAs, identifying potential undervaluation. - Short entries are only considered when price rises above both EMAs, identifying potential overvaluation. This dual-band filter avoids counter-trend signals that would occur if only a single EMA was used, making entries more selective.. Fair Value Gap Detection (FVG): Parameters used: The script checks for dislocations using a 12-bar lookback (i.e. comparing current highs/lows with values 12 candles back). Why chosen: - A 12-bar displacement highlights significant inefficiencies in price structure while filtering out micro-gaps that appear every few bars in high-volatility markets. - By aligning FVG signals with candle direction (bullish = close > open, bearish = close < open), the strategy avoids random gaps and instead targets ones that suggest exhaustion. Application in strategy: - Bullish FVGs form when earlier lows sit above current highs, hinting at downward over-extension. - Bearish FVGs form when earlier highs sit below current lows, hinting at upward over-extension. This gives the strategy a structural filter beyond simple oscillators, ensuring signals have price-dislocation context. RSI Momentum Filter: Parameters used: 14-period RSI with thresholds of 80 (overbought) and 20 (oversold). Why chosen: - RSI(14) is a widely recognized momentum measure that balances responsiveness with stability. - The thresholds are intentionally extreme (80/20 vs. the more common 70/30), so the strategy only engages at genuine exhaustion points rather than frequent minor corrections. Application in strategy: - Longs trigger when RSI < 20, suggesting oversold exhaustion. - Shorts trigger when RSI > 80, suggesting overbought exhaustion. This ensures entries are not just technically valid but also backed by momentum extremes, raising conviction. ATR-Based Take Profit: Parameters used: 14-period ATR, with a default multiplier of 4. Why chosen: - ATR(14) reflects the prevailing volatility environment without reacting too much to outliers. - A multiplier of 4 is a pragmatic compromise: wide enough to let trades breathe in volatile conditions, but tight enough to enforce disciplined exits before mean reversion fades. Application in strategy: - At entry, a fixed target is set = Entry Price ± (ATR × 4). - This target scales automatically with volatility: narrower in calm periods, wider in explosive markets. By avoiding discretionary exits, the system maintains rule-based discipline. Visual Signals on Chart Blue “▲” below candle: Potential long entry Orange/Yellow “▼” above candle: Potential short entry Green “✔️”: Trade closed at ATR take profit Blue (20 EMA) & Orange (100 EMA) lines: Dynamic channel reference ⚙️Strategy report properties Position size: 25% equity per trade Initial capital: 10,000.00 USDT Pyramiding: 10 entries per direction Slippage: 2 ticks Commission: 0.055% per side Backtest timeframe: 1-minute Backtest instrument: HYPEUSDT Backtesting range: Jul 28, 2025 — Aug 17, 2025 Note on Sample Size: You’ll notice the report displays fewer than the ideal 100 trades in the strategy report above. This is intentional. The goal of the script is to isolate high-quality, short-term reversal opportunities while filtering out low-conviction setups. This means that the Barking Rat Lite strategy is very selective, filtering out over 90% of market noise. The brief timeframe shown in the strategy report here illustrates its filtering logic over a short window — not its full capabilities. As a result, even on lower timeframes like the 1-minute chart, signals are deliberately sparse — each one must pass all criteria before triggering. For a larger dataset: Once the strategy is applied to your chart, users are encouraged to expand the lookback range or apply the strategy to other volatile pairs to view a full sample. 💡Why 25% Equity Per Trade? While it's always best to size positions based on personal risk tolerance, we defaulted to 25% equity per trade in the backtesting data — and here’s why: Backtests using this sizing show manageable drawdowns even under volatile periods. The strategy generates a sizeable number of trades, reducing reliance on a single outcome. Combined with conservative filters, the 25% setting offers a balance between aggression and control. Users are strongly encouraged to customize this to suit their risk profile. What makes Barking Rat Lite valuable Combines multiple layers of confirmation: EMA bands + FVG + RSI Adaptive to volatility: ATR-based exits scale with market conditions Clear, actionable visuals: Easy to monitor and manage trades
Strategi Pine Script®
oleh TheBarkingRat
5
EAOBS by MIGVersion 1 1. Strategy Overview Objective: Capitalize on breakout movements in Ethereum (ETH) price after the Asian open pre-market session (7:00 PM–7:59 PM EST) by identifying high and low prices during the session and trading breakouts above the high or below the low. Timeframe: Any (script is timeframe-agnostic, but align with session timing). Session: Pre-market session (7:00 PM–7:59 PM EST, adjustable for other time zones, e.g., 12:00 AM–12:59 AM GMT). Risk-Reward Ratios (R:R): Targets range from 1.2:1 to 5.2:1, with a fixed stop loss. Instrument: Ethereum (ETH/USD or ETH-based pairs). 2. Market Setup Session Monitoring: Monitor ETH price action during the pre-market session (7:00 PM–7:59 PM EST), which aligns with the Asian market open (e.g., 9:00 AM–9:59 AM JST). The script tracks the highest high and lowest low during this session. Breakout Triggers: Buy Signal: Price breaks above the session’s high after the session ends (7:59 PM EST). Sell Signal: Price breaks below the session’s low after the session ends. Visualization: The session is highlighted on the chart with a white background. Horizontal lines are drawn at the session’s high and low, extended for 30 bars, along with take-profit (TP) and stop-loss (SL) levels. 3. Entry Rules Long (Buy) Entry: Enter a long position when the price breaks above the session’s high price after 7:59 PM EST. Entry price: Just above the session high (e.g., add a small buffer, like 0.1–0.5%, to avoid false breakouts, depending on volatility). Short (Sell) Entry: Enter a short position when the price breaks below the session’s low price after 7:59 PM EST. Entry price: Just below the session low (e.g., subtract a small buffer, like 0.1–0.5%). Confirmation: Use a candlestick close above/below the breakout level to confirm the entry. Optionally, add volume confirmation or a momentum indicator (e.g., RSI or MACD) to filter out weak breakouts. Position Size: Calculate position size based on risk tolerance (e.g., 1–2% of account per trade). Risk is determined by the stop-loss distance (10 points, as defined in the script). 4. Exit Rules Take-Profit Levels (in points, based on script inputs):TP1: 12 points (1.2:1 R:R). TP2: 22 points (2.2:1 R:R). TP3: 32 points (3.2:1 R:R). TP4: 42 points (4.2:1 R:R). TP5: 52 points (5.2:1 R:R). Example for Long: If session high is 3000, TP levels are 3012, 3022, 3032, 3042, 3052. Example for Short: If session low is 2950, TP levels are 2938, 2928, 2918, 2908, 2898. Strategy: Scale out of the position (e.g., close 20% at TP1, 20% at TP2, etc.) or take full profit at a preferred TP level based on market conditions. Stop-Loss: Fixed at 10 points from the entry. Long SL: Session high - 10 points (e.g., entry at 3000, SL at 2990). Short SL: Session low + 10 points (e.g., entry at 2950, SL at 2960). Trailing Stop (Optional):After reaching TP2 or TP3, consider trailing the stop to lock in profits (e.g., trail by 10–15 points below the current price). 5. Risk Management per Trade: Limit risk to 1–2% of your trading account per trade. Calculate position size: Account Size × Risk % ÷ (Stop-Loss Distance × ETH Price per Point). Example: $10,000 account, 1% risk = $100. If SL = 10 points and 1 point = $1, position size = $100 ÷ 10 = 0.1 ETH. Daily Risk Limit: Cap daily losses at 3–5% of the account to avoid overtrading. Maximum Exposure: Avoid taking both long and short positions simultaneously unless using separate accounts or strategies. Volatility Consideration: Adjust position size during high-volatility periods (e.g., major news events like Ethereum upgrades or macroeconomic announcements). 6. Trade Management Monitoring :Watch for breakouts after 7:59 PM EST. Monitor price action near TP and SL levels using alerts or manual checks. Trade Duration: Breakout lines extend for 30 bars (script parameter). Close trades if no TP or SL is hit within this period, or reassess based on market conditions. Adjustments: If the market shows strong momentum, consider holding beyond TP5 with a trailing stop. If the breakout fails (e.g., price reverses before TP1), exit early to minimize losses. 7. Additional Considerations Market Conditions: The 7:00 PM–7:59 PM EST session aligns with the Asian market open (e.g., Tokyo Stock Exchange open at 9:00 AM JST), which may introduce higher volatility due to Asian trading activity. Avoid trading during low-liquidity periods or extreme volatility (e.g., major crypto news). Check for upcoming events (e.g., Ethereum network upgrades, ETF decisions) that could impact price. Backtesting: Test the strategy on historical ETH data using the session high/low breakouts for the 7:00 PM–7:59 PM EST window to validate performance. Adjust TP/SL levels based on backtest results if needed. Broker and Fees: Use a low-fee crypto exchange (e.g., Binance, Kraken, Coinbase Pro) to maximize R:R. Account for trading fees and slippage in your position sizing. Time zone Adjustment: Adjust session time input for your time zone (e.g., "0000-0059" for GMT). Ensure your trading platform’s clock aligns with the script’s time zone (default: America/New_York). 8. Example Trade Scenario: Session (7:00 PM–7:59 PM EST) records a high of 3050 and a low of 3000. Long Trade: Entry: Price breaks above 3050 (e.g., enter at 3051). TP Levels: 3063 (TP1), 3073 (TP2), 3083 (TP3), 3093 (TP4), 3103 (TP5). SL: 3040 (3050 - 10). Position Size: For a $10,000 account, 1% risk = $100. SL = 11 points ($11). Size = $100 ÷ 11 = ~0.09 ETH. Short Trade: Entry: Price breaks below 3000 (e.g., enter at 2999). TP Levels: 2987 (TP1), 2977 (TP2), 2967 (TP3), 2957 (TP4), 2947 (TP5). SL: 3010 (3000 + 10). Position Size: Same as above, ~0.09 ETH. Execution: Set alerts for breakouts, enter with limit orders, and monitor TPs/SL. 9. Tools and Setup Platform: Use TradingView to implement the Pine Script and visualize breakout levels. Alerts: Set price alerts for breakouts above the session high or below the session low after 7:59 PM EST. Set alerts for TP and SL levels. Chart Settings: Use a 1-minute or 5-minute chart for precise session tracking. Overlay the script to see high/low lines, TP levels, and SL levels. Optional Indicators: Add RSI (e.g., avoid overbought/oversold breakouts) or volume to confirm breakouts. 10. Risk Warnings Crypto Volatility: ETH is highly volatile; unexpected news can cause rapid price swings. False Breakouts: Breakouts may fail, especially in low-volume sessions. Use confirmation signals. Leverage: Avoid high leverage (e.g., >5x) to prevent liquidation during volatile moves. Session Accuracy: Ensure correct session timing for your time zone to avoid misaligned entries. 11. Performance Tracking Journaling :Record each trade’s entry, exit, R:R, and outcome. Note market conditions (e.g., trending, ranging, news-driven). Review: Weekly: Assess win rate, average R:R, and adherence to the plan. Monthly: Adjust TP/SL or session timing based on performance.
Penunjuk Pine Script®
oleh levijames7
DXY Opening Zones - FixedFull Description: Overview: This indicator automates the identification of DXY (Dollar Index) opening zones, a cornerstone of the Funded Trader Academy's "Dixie Open" strategy. It marks the critical gap between market close and open, which acts as a magnetic attraction level for price action throughout the trading day. Key Features: ✅ Automatic Gap Detection: Identifies opening gaps between market close (6:00 PM EST) and open (7:45 PM EST Sunday, 7:45 PM Mon-Thu) ✅ Smart Zone Expansion: Automatically expands zones when gaps are smaller than 20 pips to include prior candle highs/lows for better trading ranges ✅ Session Highlighting: Visual overlays for London (3 AM - 12 PM EST) and New York (8 AM - 5 PM EST) sessions ✅ Phantom Candle Filter: Ignores glitch/phantom candles smaller than 2 pips to prevent false zones ✅ Time-Based Zone Extension: Zones automatically extend to 5 PM EST (US market close) for full-day relevance ✅ 15-Minute Chart Optimization: Specifically designed for the 15-minute timeframe where the strategy performs best ✅ DXY-Only Protection: Built-in safeguards ensure the indicator only works on Dollar Index symbols Trading Strategy Context: The DXY Opening Level strategy capitalizes on the market's tendency to return to opening gaps, offering approximately 70-75% win rate when traded correctly. Best entries occur during London session (after 2:30 AM EST) when volume increases. Ideal For: Forex traders using DXY correlation strategies Mean reversion and gap trading enthusiasts Traders seeking high-probability setups with defined risk Those following the Funded Trader Academy methodology Settings Explained: Zone Color: Customize the visual appearance of zones Expand Zone Threshold: Adjust when zones should expand (default 20 pips) Phantom Filter: Set minimum candle size to consider valid (default 2 pips) Session Display: Toggle London/NY session backgrounds Debug Mode: View detailed gap measurements and timing information Important Notes: Must be used on 15-minute DXY/Dollar Index charts Zones mark attraction levels, not direct entry points Always wait for valid entry signals (engulfing, pin bar, 3-bar reversal) Trade correlated forex pairs, not DXY directly Best results during London session (2:30 AM - 12 PM EST) Risk Disclaimer: This indicator identifies potential trading zones based on historical patterns. Always use proper risk management and never risk more than you can afford to lose. Past performance does not guarantee future results.
Penunjuk Pine Script®
oleh stuartm69
MSTY-WNTR Rebalancing SignalMSTY-WNTR Rebalancing Signal ## Overview The **MSTY-WNTR Rebalancing Signal** is a custom TradingView indicator designed to help investors dynamically allocate between two YieldMax ETFs: **MSTY** (YieldMax MSTR Option Income Strategy ETF) and **WNTR** (YieldMax Short MSTR Option Income Strategy ETF). These ETFs are tied to MicroStrategy (MSTR) stock, which is heavily influenced by Bitcoin's price due to MSTR's significant Bitcoin holdings. MSTY benefits from upward movements in MSTR (and thus Bitcoin) through a covered call strategy that generates income but caps upside potential. WNTR, on the other hand, provides inverse exposure, profiting from MSTR declines but losing in rallies. This indicator uses Bitcoin's momentum and MSTR's relative strength to signal when to hold MSTY (bullish phases), WNTR (bearish phases), or stay neutral, aiming to optimize returns by switching allocations at key turning points. Inspired by strategies discussed in crypto communities (e.g., X posts analyzing MSTR-linked ETFs), this indicator promotes an active rebalancing approach over a "set and forget" buy-and-hold strategy. In simulated backtests over the past 12 months (as of August 4, 2025), the optimized version has shown potential to outperform holding 100% MSTY or 100% WNTR alone, with an illustrative APY of ~125% vs. ~6% for MSTY and ~-15% for WNTR in one scenario. **Important Disclaimer**: This is not financial advice. Past performance does not guarantee future results. Always consult a financial advisor. Trading involves risk, and you could lose money. The indicator is for educational and informational purposes only. ## Key Features - **Momentum-Based Signals**: Uses a Simple Moving Average (SMA) on Bitcoin's price to detect bullish (price > SMA) or bearish (price < SMA) trends. - **RSI Confirmation**: Incorporates MSTR's Relative Strength Index (RSI) to filter signals, avoiding overbought conditions for MSTY and oversold for WNTR. - **Visual Cues**: - Green upward triangle for "Hold MSTY". - Red downward triangle for "Hold WNTR". - Yellow cross for "Switch" signals. - Background color: Green for MSTY, red for WNTR. - **Information Panel**: A table in the top-right corner displays real-time data: BTC Price, SMA value, MSTR RSI, and current Allocation (MSTY, WNTR, or Neutral). - **Alerts**: Configurable alerts for holding MSTY, holding WNTR, or switching. - **Optimized Parameters**: Defaults are tuned (SMA: 10 days, RSI: 15 periods, Overbought: 80, Oversold: 20) based on simulations to reduce whipsaws and capture trends effectively. ## How It Works The indicator's logic is straightforward yet effective for volatile assets like Bitcoin and MSTR: 1. **Primary Trigger (Bitcoin Momentum)**: - Calculate the SMA of Bitcoin's closing price (default: 10-day). - Bullish: Current BTC price > SMA → Potential MSTY hold. - Bearish: Current BTC price < SMA → Potential WNTR hold. 2. **Secondary Filter (MSTR RSI Confirmation)**: - Compute RSI on MSTR stock (default: 15-period). - For bullish signals: If RSI > Overbought (80), signal Neutral (avoid overextended rallies). - For bearish signals: If RSI < Oversold (20), signal Neutral (avoid capitulation bottoms). 3. **Allocation Rules**: - Hold 100% MSTY if bullish and not overbought. - Hold 100% WNTR if bearish and not oversold. - Neutral otherwise (e.g., during choppy or extreme markets) – consider holding cash or avoiding trades. 4. **Rebalancing**: - Switch signals trigger when the hold changes (e.g., from MSTY to WNTR). - Recommended frequency: Weekly reviews or on 5% BTC moves to minimize trading costs (aim for 4-6 trades/year). This approach leverages Bitcoin's influence on MSTR while mitigating the risks of MSTY's covered call drag during downtrends and WNTR's losses in uptrends. ## Setup and Usage 1. **Chart Requirements**: - Apply this indicator to a Bitcoin chart (e.g., BTCUSD on Binance or Coinbase, daily timeframe recommended). - Ensure MSTR stock data is accessible (TradingView supports it natively). 2. **Adding to TradingView**: - Open the Pine Editor. - Paste the script code. - Save and add to your chart. - Customize inputs if needed (e.g., adjust SMA/RSI lengths for different timeframes). 3. **Interpretation**: - **Green Background/Triangle**: Allocate 100% to MSTY – Bitcoin is in an uptrend, MSTR not overbought. - **Red Background/Triangle**: Allocate 100% to WNTR – Bitcoin in downtrend, MSTR not oversold. - **Yellow Switch Cross**: Rebalance your portfolio immediately. - **Neutral (No Signal)**: Panel shows "Neutral" – Hold cash or previous position; reassess weekly. - Monitor the panel for key metrics to validate signals manually. 4. **Backtesting and Strategy Integration**: - Convert to a strategy script by changing `indicator()` to `strategy()` and adding entry/exit logic for automated testing. - In simulations (e.g., using Python or TradingView's backtester), it has outperformed buy-and-hold in volatile markets by ~100-200% relative APY, but results vary. - Factor in fees: ETF expense ratios (~0.99%), trading commissions (~$0.40/trade), and slippage. 5. **Risk Management**: - Use with a diversified portfolio; never allocate more than you can afford to lose. - Add stop-losses (e.g., 10% trailing) to protect against extreme moves. - Rebalance sparingly to avoid over-trading in sideways markets. - Dividends: Reinvest MSTY/WNTR payouts into the current hold for compounding. ## Performance Insights (Simulated as of August 4, 2025) Based on synthetic backtests modeling the last 12 months: - **Optimized Strategy APY**: ~125% (by timing switches effectively). - **Hold 100% MSTY APY**: ~6% (gains from BTC rallies offset by downtrends). - **Hold 100% WNTR APY**: ~-15% (losses in bull phases outweigh bear gains). In one scenario with stronger volatility, the strategy achieved ~4533% APY vs. 10% for MSTY and -34% for WNTR, highlighting its potential in dynamic markets. However, these are illustrative; real results depend on actual BTC/MSTR movements. Test thoroughly on historical data. ## Limitations and Considerations - **Data Dependency**: Relies on accurate BTC and MSTR data; delays or gaps can affect signals. - **Market Risks**: Bitcoin's volatility can lead to false signals (whipsaws); the RSI filter helps but isn't perfect. - **No Guarantees**: This indicator doesn't predict the future. MSTR's correlation to BTC may change (e.g., due to regulatory events). - **Not for All Users**: Best for intermediate/advanced traders familiar with ETFs and crypto. Beginners should paper trade first. - **Updates**: As of August 4, 2025, this is version 1.0. Future updates may include volume filters or EMA options. If you find this indicator useful, consider leaving a like or comment on TradingView. Feedback welcome for improvements!
Penunjuk Pine Script®
oleh Smartmate
200 SMA (5%/-3% Buffer) for SPY & QQQ In my testing TQQQ is an absolute monster of an ETF that performs extremely well even from a buy and hold standpoint over long periods of time, its largest drawback is the massive drawdown exposure that it faces which can be easily sidestepped with this strategy. This strategy is meant to basically abuse TQQQ's insane outperformance while augmenting the typical 200SMA strategy in a way that uses all of its strengths while avoiding getting whipsawed in sideways markets. The strategy BUYS when price crosses 5% over the 200SMA and then SELLS when price drops 3% below the 200SMA. Between trades I'll be parking my entire account in SGOV. So maximizing profit while minimizing risk. You use the strategy based off of QQQ and then make the trades on TQQQ when it tells you to BUY/SELL. Here are some reasons why I will be using this strategy: Simple emotionless BUY and SELL signals where I don't care who the president is, what is happening in the world, who is bombing who, who the leadership team is, no attachment to individual companies and diversified across the NASDAQ. ~85% win percentage and when it does lose the loses are nothing compared to the wins and after a loss you're basically set up for a massive win in the next trade. Max drawdown of around 53% when using TQQQ You benefit massively when the market is doing well and when there is a recession you basically sit in SGOV for a year and then are set up for a monster recovery with a clear easy BUY signal. So as long as you're patient you win regardless of what happens. The trades are often very long term resulting in you taking advantage of Long Term Capital Gains tax advantage which could mean saving up to 15-20% in taxes. With only a few trades you can spend time doing other stuff and don't have to track or pay attention to anything that is happening. Simple, easy, and massively profitable.
Strategi Pine Script®
oleh freefighter07