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HMA 200/150 Trading StrategyThis strategy uses the Hull Moving Average (HMA) to generate buy and sell signals based on price action relative to the HMA 200, with take profit signals based on the HMA 150. It includes a configurable date range for backtesting, allowing users to test the strategy over specific periods. How It Works Entry Signals: Buy: Triggered when the price closes above the HMA 200. Sell: Triggered when the price closes below the HMA 200. Take Profit Signals: Buy Take Profit: Exits the buy position when the price closes below the HMA 150. Sell Take Profit: Exits the sell position when the price closes above the HMA 150. Backtest Period: Users can set start and end dates (year, month, day) to limit the strategy’s execution to a specific time range for backtesting purposes. Settings Start Year/Month/Day: Set the start date for backtesting (default: January 1, 2023). End Year/Month/Day: Set the end date for backtesting (default: December 31, 2025). Visuals HMA 200: Plotted in blue, used for entry signals. HMA 150: Plotted in orange, used for take profit signals. Buy Signal: Green triangle below the bar. Sell Signal: Red triangle above the bar. Take Profit Signals: Yellow diamonds (above for buy TP, below for sell TP). Usage Add the strategy to your chart. Adjust the backtest period in the settings to analyze performance over a specific time frame. Monitor the plotted HMA lines and signals for potential trade entries and exits. Backtest on your preferred timeframe and asset to evaluate performance. Notes This strategy is designed for trend-following and works best in trending markets. Always test the strategy on a demo account before using it in live trading. Performance may vary depending on the asset, timeframe, and market conditions. Disclaimer This strategy is for educational purposes only and should not be considered financial advice. Trading involves risk, and past performance is not indicative of future results. Always conduct your own research and risk management.
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TrendBlazeX tarafından
Pin Bar Reversal StrategyStrategy: Pin Bar Reversal with Trend Filter One effective high-probability setup is a Pin Bar reversal in the direction of the larger trend. A pin bar is a candlestick with a tiny body and a long wick, signaling a sharp rejection of price By itself, a pin bar often marks a potential reversal, but not all pin bars lead to profitable moves. To boost reliability, this strategy trades pin bars only when they align with the prevailing trend – for example, taking a bullish pin bar while the market is in an uptrend, or a bearish pin bar in a downtrend. The trend bias can be determined by a long-term moving average or higher timeframe analysis. Why it works: In an uptrend, a bullish pin bar after a pullback often indicates that sellers tried to push price down but failed, and buyers are resuming control. Filtering for pin bars near key support or moving averages further improves odds of success. This aligns the entry with both a strong price pattern and the dominant market direction, yielding a higher win rate. The pin bar’s own structure provides natural levels for stop and target placement, keeping risk management straightforward. Example Setup: USDCHF - 4 Hour Chart Trend SMA 12 Max Body - 34 Min Wick - 66 ATR -15 ATR Stop Loss Multiplier - 2.3 ATR Take Profit Multiplier - 2.9 Minimum ATR to Enter - 0.0025
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shuynh01 tarafından
EMA Trend Cross Signal LOGIC : This strategy opens position if shorter period Exponential Moving Average (EMA) crosses over or crosses under the longer period EMA and exits position if any of the 3 exit conditions mentioned below is fulfilled ENTRY CONDITIONS : LONG ENTRY - shorter period EMA crosses over longer period EMA SHORT ENTRY - shorter period EMA crosses under longer period EMA EXIT CONDITIONS : BOTH EMA CROSSED - LONG EXIT - If price closes below both the shorter period EMA & longer period EMA SHORT EXIT - If price closes above both the shorter period EMA & longer period EMA STOP-LOSS HIT - LONG EXIT - If price closes below the LOW created at the time of ema crossover SHORT EXIT - If price closes above the HIGH created at the time of ema crossover EMA CROSS - LONG EXIT - If shorter period EMA crosses under longer period EMA SHORT EXIT - If shorter period EMA crosses above longer period EMA EXAMPLES : 1. TESLA (1-DAY) - 2. APPLE (1-WEEK) - PYRAMID CLOSING - Positions will be closed pyramidically in 5 levels and price of each level will be calculated by multiplying current market price with the percentage of each pyramid level's value user has entered SETTINGS OPTIONS - MA TYPE - There is option to choose the type of moving average among SMA, EMA, RMA, WMA, VWMA on chart MA LENGTH - There is option to change the length of short period MA & large period MA FIELD TYPE - There is also option to choose the price field among open, close, low, high etc. for the selected MA HISTORICAL BACKTEST - We can also backtest the strategy for a certain duration of time using this option by changing the start time and end time SHOW BACKGROUND COLORS FOR EVERY POSITION - There is option to show background color as green whenever a bullish position is opened and as red whenever a bearish position is opened SHOW BACKGROUND COLORS FOR EVERY PROFIT & LOSS - There is option to show green circle in background whenever profit is made and red circle whenever loss is made SHOW TABLE - If selected then it will show a table at the top-right corner with all the pyramid levels at which position will be closed for the current scrip PAUSE TRADING - If this option is selected then no position will opened on the chart
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peace_lover tarafından
AutoFib Breakout Strategy for Uptrend AssetsThis trading strategy is designed to help you catch powerful upward moves on assets that are in a long-term uptrend, such as Gold (XAUUSD). It uses a popular technical tool called the Fibonacci Extension, combined with a trend filter and a risk-managed exit system. ✅ When to Use This Strategy • Works best on higher timeframes: Daily (1D), 3-Day (3D), or Weekly (W). • Best used on uptrending assets like Gold. • Designed for swing trading – holding trades from a few days to weeks. 📊 How It Works 1. Find the Trend We only want to trade in the direction of the trend. • The strategy uses the 200-period EMA (Exponential Moving Average) to identify if the market is in an uptrend. • If the price is above the 200 EMA, we consider it an uptrend and allow long trades. 2. Identify Breakout Levels • The strategy detects recent high and low pivot points to draw Fibonacci extension levels. • It focuses on the 1.618 Fibonacci level, which is often a target in strong trends. • When the price breaks above this level in an uptrend, it signals a potential momentum breakout – a good time to buy. 3. Enter a Trade • The strategy enters a long (buy) position when the price closes above the 1.618 Fibonacci level and the market is in an uptrend (above the 200 EMA). 4. Manage Risk Automatically • The trade includes a stop-loss set to 1x the ATR (Average True Range) below the entry price – this protects against sudden drops. • It sets a take-profit at 3x the ATR above the entry – aiming for higher rewards than risks. ⚠️ Important Notes • 📈 Higher Timeframes Preferred: This strategy works best on Daily (D), 3-Day (3D), and Weekly (W) charts, especially on Gold (XAUUSD). • 🧪 Not for Deep Backtesting: Due to the nature of how pivot points and Fib levels are calculated, this strategy may not perform well in backtesting simulations (because the historical calculations can shift). It is better used for live analysis and forward testing.
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SupertradeOfficial tarafından
Grid TLong V1The “Grid TLong V1” strategy is based on the classic Grid strategy, but in the mode of buying and selling in favor of the trend and only on Long. This allows to take advantage of large uptrend movements to maximize profits in bull markets. For this reason, excessively sideways or bearish markets may not be very conducive to this strategy. Like our Grid strategies in favor of the trend, you can enter and exit with the balance with controlled risk, as the distance between each grid functions as a natural and adaptable stop loss and take profit. What differentiates it from bidirectional strategies is that Short uses a minimum amount of follow-through, so that the percentage distance between the grids is maintained. In this version of the script the entries and exits can be chosen at market or limit , and are based on the profit or loss of the current position, not on the percentage change in price. The user may also notice that the strategy setup is risk-controlled, because it risks 5% on each trade, has a fairly standard commission and modest initial capital, all in order to protect the strategy user from unrealistic results. As with all strategies, it is strongly recommended to optimize the parameters for the strategy to be effective for each asset and for each time frame.
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morzns tarafından
Random State Machine Strategy📌 Random State Machine Strategy (Educational) This strategy showcases a randomized entry model driven by a finite state machine, integrated with user-defined exit controls and a full-featured moving average filter. 🧠 Trade Entry Logic Entries occur only when: A random trigger occurs (~5% probability per bar) The state machine accepts a new transition (sm.step()) Price is: Above the selected MA for long entries Below the selected MA for short entries This ensures that entries are both stochastically driven and trend-aligned, avoiding frequent or arbitrary trades. ⚙️ How It Works Randomized Triggers A pseudo-random generator (seeded with time and volume) attempts to trigger state transitions. Finite State Machine Transitions are managed using the StateMachine from robbatt/lib_statemachine — credit to @robbatt for the modular FSM design. Controlled Reset The state machine resets every N bars (default: 100) if at least two transitions have occurred. This prevents stale or locked states. Backtest Range Define a specific test window using Start and End Date inputs. Risk & Exits Specify risk in points and a target risk/reward ratio. TP is auto-computed. Timed and MA-based exits can be toggled. 🧪 How to Use Enable Long or Short trades Choose your Moving Average type and length Set Risk per trade and R/R ratio Toggle TP/SL, timed exit, or MA cross exit Adjust the State Reset Interval to suit your signal frequency 📘 Notes Educational use only — not financial advice Random logic is used to model structure, not predict movement Thanks to @robbatt for the lib_statemachine integration
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smoyer tarafından
Strategy Builder With IndicatorsThis strategy script is designed for traders who enjoy building systems using multiple indicators. Please note: This script does not include any built-in indicators. Instead, it works by referencing the plot outputs of the indicators you’ve already added to your chart. For example, if you add a MACD and an ATR indicator to your chart, you can assign their plot values as inputs in the settings panel of this strategy. • MACD as a trigger • ATR as a filter How Filters Work Filters check whether certain conditions are met before a trade can be opened. For instance, if you set a filter like ATR > 30, then no trade will be executed unless that condition is true — even if the trigger fires. All filters are linked, meaning every active filter must be satisfied for a trade to occur. How Triggers Work Triggers are what actually fire a trade signal — such as a moving average crossover or RSI breaking above a specific level. Unlike filters, triggers are independent. Only one active trigger needs to be true for the trade to execute. Thanks to its modular structure, this strategy can be used with any indicator of your choice. ⸻ Risk Management Features In the settings, you’ll find flexible options for: • Stop Loss (SL) • Trailing Stop Loss (TSL) • Multi Take-Profit (TP) These features enhance trade safety and let you tailor your risk management. SL types available: • Tick-based SL • Percent-based SL • ATR-based SL Once you select your preferred SL type, you can fine-tune its distance using the offset field. Trailing SL allows your stop to follow price as it moves in your favor — helping to lock in profits. Multi-TP lets you take profits at two different levels, helping you secure gains while leaving room for extended moves. Breakeven option is also available to automatically move your SL to entry after reaching a profit threshold. ⸻ How to Build a Solid Strategy Let’s break down a good setup into three key components: 1. Trend Filter Avoid trading against the trend — that’s like swimming against the current. Use a filter like: • Supertrend • Momentum indicators • Candlestick bias, etc. Example: In this case, I used Supertrend and filtered for trades only if the price is above the uptrend line. 2. Trigger Condition Once we confirm the trend is on our side, we need a trigger to execute at the right moment. This can be: • RSI cross • Candlestick patterns • Trendline breaks • Moving average crossovers, etc. Example: I used RSI crossing above 50 as the entry trigger. 3. Risk Management Even in the right trend at the right time — anything can happen. That’s why you should always define Stop Loss and Take Profit levels. ⸻ And there you have it! Your strategy is ready to backtest, refine, and deploy with alerts for live trading. Questions or suggestions? Feel free to reach out
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Milvetti tarafından
Volatility Bias ModelVolatility Bias Model Overview Volatility Bias Model is a purely mathematical, non-indicator-based trading system that detects directional probability shifts during high volatility market phases. Rather than relying on classic tools like RSI or moving averages, this strategy uses raw price behavior and clustering logic to determine potential breakout direction based on recent market bias. How It Works Over a defined lookback window (default 10 bars), the strategy counts how many candles closed in the same direction (i.e., bullish or bearish). Simultaneously, it calculates the price range during that window. If volatility is above a minimum threshold and a clear directional bias is detected (e.g., >60% of closes are bullish), a trade is opened in the direction of that bias. This approach assumes that when high volatility is coupled with directional closing consistency, the market is probabilistically more likely to continue in that direction. ATR-based stop-loss and take-profit levels are applied, and trades auto-exit after 20 bars if targets are not hit. Key Features - 100% non-indicator-based logic - Statistically-driven directional bias detection - Works across all timeframes (1H, 4H, 1D) - ATR-based risk management - No pyramiding, slippage and commissions included - Compatible with real-world backtesting conditions Realism & Assumptions To make this strategy more aligned with actual trading environments, it includes 0.05% commission per trade and a 1-point slippage on every entry and exit. Additionally, position sizing is set at 10% of a $10,000 starting capital, and no pyramiding is allowed. These assumptions help avoid unrealistic backtest results and make the performance metrics more representative of live conditions. Parameter Explanation Bias Window (10 bars): Number of past candles used to evaluate directional closings Bias Threshold (0.60): Required ratio of same-direction candles to consider a bias valid Minimum Range (1.5%): Ensures the market is volatile enough to avoid noise ATR Length (14): Used to dynamically define stop-loss and target zones Risk-Reward Ratio (2.0): Take-profit is set at twice the stop-loss distance Max Holding Bars (20): Trades are closed automatically after 20 bars to prevent stagnation Originality Note Unlike common strategies based on oscillators or moving averages, this script is built on pure statistical inference. It models the market as a probabilistic process and identifies directional intent based on historical closing behavior, filtered by volatility. This makes it a non-linear, adaptive model grounded in real-world price structure — not traditional technical indicators. Disclaimer This strategy is for educational and experimental purposes only. It does not constitute financial advice. Always perform your own analysis and test thoroughly before applying with real capital.
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CMATechnologies tarafından
Price Statistical Strategy-Z Score V 1.01 Price Statistical Strategy – Z Score V 1.01 Overview A technical breakdown of the logic and components of the “Price Statistical Strategy – Z Score V 1.01”. This script implements a smoothed Z-Score crossover mechanism applied to the closing price to detect potential statistical deviations from local price mean. The strategy operates solely on price data (close) and includes signal spacing control and momentum-based candle filters. No volume-based or trend-detection components are included. Core Methodology The strategy is built on the statistical concept of Z-Score, which quantifies how far a value (closing price) is from its recent average, normalized by standard deviation. Two moving averages of the raw Z-Score are calculated: a short-term and a long-term smoothed version. The crossover between them generates long entries and exits. Signal Conditions Entry Condition: A long position is opened when the short-term smoothed Z-Score crosses above the long-term smoothed Z-Score, and additional entry conditions are met. Exit Condition: The position is closed when the short-term Z-Score crosses below the long-term Z-Score, provided the exit conditions allow. Signal Gapping: A minimum number of bars (Bars gap between identical signals) must pass between repeated entry or exit signals to reduce noise. Momentum Filter: Entries are prevented during sequences of three or more consecutively bullish candles, and exits are prevented during three or more consecutively bearish candles. Z-Score Function The Z-Score is calculated as: Z = (Close - SMA(Close, N)) / STDEV(Close, N) Where N is the base period selected by the user. Input Parameters Enable Smoothed Z-Score Strategy Enables or disables the Z-Score strategy logic. When disabled, no trades are executed. Z-Score Base Period Defines the number of bars used to calculate the simple moving average and standard deviation for the Z-Score. This value affects how responsive the raw Z-Score is to price changes. Short-Term Smoothing Sets the smoothing window for the short-term Z-Score. Higher values produce smoother short-term signals, reducing sensitivity to short-term volatility. Long-Term Smoothing Sets the smoothing window for the long-term Z-Score, which acts as the reference line in the crossover logic. Bars gap between identical signals Minimum number of bars that must pass before another signal of the same type (entry or exit) is allowed. This helps reduce redundant or overly frequent signals. Trade Visualization Table A table positioned at the bottom-right displays live PnL for open trades: Entry Price Unrealized PnL % Text colors adapt based on whether unrealized profit is positive, negative, or neutral. Technical Notes This strategy uses only close prices — no trend indicators or volume components are applied. All calculations are based on simple moving averages and standard deviation over user-defined windows. Designed as a minimal, isolated Z-Score engine without confirmation filters or multi-factor triggers.
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ata_sabanci tarafından
QQQ Strategy v2 ESL | easy-peasy-x This is a strategy optimized for QQQ (and SPY) for the 1H timeframe. It significantly outperforms passive buy-and-hold approach. With settings adjustments, it can be used on various assets like stocks and cryptos and various timeframes, although the default out of the box settings favor QQQ 1H. The strategy uses various triggers to take both long and short trades. These can be adjusted in settings. If you try a different asset, see what combination of triggers works best for you. Some of the triggers employ LuxAlgo's Ultimate RSI - shoutout to him for great script, check it out here . Other triggers are based on custom signed standard deviation - basically the idea is to trade Bollinger Bands expansions (long to the upside, short to the downside) and fade or stay out of contractions. There are three key moving averages in the strategy - LONG MA, SHORT MA, BASIC MA. Long and Short MAs are guides to eyes on the chart and also act as possible trend filters (adjustable in settings). Basic MA acts as guide to eye and a possible trade trigger (adjustable in settings). There are a few trend filters the strategy can use - moving average, signed standard deviation, ultimate RSI or none. The filters act as an additional condition on triggers, making the strategy take trades only if both triggers and trend filter allows. That way one can filter out trades with unfavorable risk/reward (for instance, don't long if price is under the MA200). Different trade filters can be used for long and short trades. The strategy employs various stop loss types, the default of which is a trailing %-based stop loss type. ATR-based stop loss is also available. The default 1.5% trailing stop loss is suitable for leveraged trading. Lastly, the strategy can trigger take profit orders if certain conditions are met, adjustable in settings. Also, it can hold onto winning trades and exit only after stop out (in which case, consecutive triggers to take other positions will be ignored until stop out). Let me know if you like it and if you use it, what kind of tweaks would you like to see. With kind regards, easy-peasy-x
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easy-peasy-x tarafından
Three Candle Bullish Engulfing StrategyThe Three Candle Bullish Engulfing Strategy is a versatile, multi-mode trading system designed for TradingView, combining classic candlestick patterns with momentum confirmation and dynamic risk management. This script supports both swing trading and intraday approaches, as well as an optional RSI-based breakout mode for additional signal filtering. Key Features: Three Candle Pattern Detection: The strategy identifies potential trend reversal points using a three-candle pattern: The first candle is a strong bullish (or bearish) move. The second candle is a doji or small-bodied candle, indicating indecision. The third candle is a bullish (or bearish) engulfing candle that closes above (or below) the previous high (or low), confirming the reversal. Flexible Trading Modes: Swing Long Only: Enter long trades on bullish three-candle setups. Intraday Long & Short: Trade both long and short based on bullish and bearish three-candle patterns, with automatic session-end exits. RSI Breakout Mode: Enter long trades when the 1-hour RSI exceeds a user-defined threshold (default 80) and a bullish candle forms, with breakout confirmation and a fixed-percentage stop loss. Visual Aids: Plots the RSI breakout trigger price and stop loss on the chart for easy monitoring. How It Works: Three Candle Pattern Entries: Long Entry: Triggered when a bullish candle is followed by a doji, then a bullish engulfing candle closes above the previous high. Short Entry (Intraday only): Triggered by the inverse pattern—bearish candle, doji, then bearish engulfing candle closing below the previous low. RSI Breakout Entries: When the RSI on a higher timeframe (default 1 hour) exceeds the set threshold and a bullish candle forms, the script records a trigger price. A long trade is entered if the price breaks above this trigger, with a stop loss set a fixed percentage below. Exits: Positions are closed if the trailing stop is hit, the session ends (for intraday mode), or the stop loss is triggered in RSI breakout mode. In RSI breakout mode, positions are also closed if a new breakout trigger forms while in position.
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Somwereinhell tarafından
MACD + RSI + EMA + BB + ATR Day Trading StrategyEntry Conditions and Signals The strategy implements a multi-layered filtering approach to entry conditions, requiring alignment across technical indicators, timeframes, and market conditions . Long Entry Requirements Trend Filter: Fast EMA (9) must be above Slow EMA (21), price must be above Fast EMA, and higher timeframe must confirm uptrend MACD Signal: MACD line crosses above signal line, indicating increasing bullish momentum RSI Condition: RSI below 70 (not overbought) but above 40 (showing momentum) Volume & Volatility: Current volume exceeds 1.2x 20-period average and ATR shows sufficient market movement Time Filter: Trading occurs during optimal hours (9:30-11:30 AM ET) when market volatility is typically highest Exit Strategies The strategy employs multiple exit mechanisms to adapt to changing market conditions and protect profits : Stop Loss Management Initial Stop: Placed at 2.0x ATR from entry price, adapting to current market volatility Trailing Stop: 1.5x ATR trailing stop that moves up (for longs) or down (for shorts) as price moves favorably Time-Based Exits: All positions closed by end of trading day (4:00 PM ET) to avoid overnight risk Best Practices for Implementation Settings Chart Setup: 5-minute timeframe for execution with 15-minute chart for trend confirmation Session Times: Focus on 9:30-11:30 AM ET trading for highest volatility and opportunity
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shui2967 tarafından
Multi-Indicator Trend-Following Strategy v6Multi-Indicator Trend-Following Strategy v6 This strategy uses a combination of technical indicators to identify potential trend-following trade entries and exits. It is intended for educational and research purposes. How it works: Moving Averages (EMA): Entry signals are generated on crossovers between a fast and slow exponential moving average. RSI Filter: Confirms momentum with a threshold above/below 50 for long/short entries. Volume Confirmation: Requires volume to exceed a moving average multiplied by a user-defined factor. ATR-Based Risk Management: Stop loss and take profit levels are calculated using the Average True Range (ATR), allowing for dynamic risk control based on market volatility. Customizable Inputs: Fast/Slow MA lengths RSI length and levels MACD settings (used in calculation, not directly in signal) Volume MA and multiplier ATR period and multipliers for stop loss and take profit Notes: This strategy does not guarantee future results. It is provided for analysis and backtesting only. Alerts are available for buy/sell conditions. Feel free to adjust parameters to explore different market conditions and asset classes.
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rockingtoor tarafından
Long Explosive V1The “Long Explosive V1” strategy calculates the percentage change in price from the last closing price of the candlestick, so that if it increases by a certain percentage it goes long, but if it decreases by another percentage it sends an exit order, so that the percentage limits above and below the current price function as inherent stop loss and take profit, with the benefit of taking advantage of the volatility of the bull market. Entries and exits are always at the market and based on percentage changes in the price. Of course, the default configuration of the strategy considers a position with a 5% risk control, modest initial capital and standard commissions, which helps to obtain realistic results and protect the user from unexpectedly controlled potential losses. It is again emphasized that it is always advisable to adjust the parameters of the strategy well, so that the risk-reward is well controlled.
Pine Script® stratejisi
morzns tarafından
Reversal Trap Sniper – Verified VersionReversal Trap Sniper Overview Reversal Trap Sniper is a counterintuitive momentum-following strategy that identifies "reversal traps"—situations where traders expect a market reversal based on RSI, but the price continues trending. By detecting these failed reversal signals, the strategy enters trades in the trend direction, often catching strong follow-through moves. How It Works The system monitors the Relative Strength Index (RSI). When RSI moves above the overbought level (e.g., 70) and then drops back below it, many traders interpret this as a sell signal. However, this strategy treats such moves with caution. If the RSI pulls back below the overbought threshold but the price continues to rise, the system considers it a "reversal trap"—a fakeout. In such cases, instead of going short, the strategy enters a long position, assuming that the trend is still valid and those betting on a reversal may fuel a breakout. Similarly, if RSI rises above the oversold level from below, but price continues falling, a short trade is triggered. Entries are followed by ATR-based stop-loss and dynamic take-profit (2× risk), with a fallback time-based exit after 30 bars. Key Features - Detects failed RSI-based reversals ("traps") - Follows momentum after the trap is triggered - Uses ATR for dynamic stop-loss and take-profit - Auto-exit after a fixed bar count (30 bars) - Visual markers on chart for transparency - Realistic trading assumptions: 0.05% commission, slippage, and capped pyramiding Parameter Explanation RSI Length (14): Standard RSI calculation period Overbought/Oversold Levels (70/30): Common thresholds used by many traders ATR Length (14): Used to define stop-loss and target dynamically Risk-Reward Ratio (2.0): Take-profit is set at 2× the stop-loss distance Max Holding Bars (30): Ensures trades don’t remain open indefinitely Pyramiding (10): Allows scaling into trades, simulating real-world strategy stacking Originality Note This strategy inverts traditional RSI logic. Instead of treating overbought/oversold conditions as signals for reversal, it waits for those signals to fail. Only after such failures, confirmed by continued price action in the same direction, does the system enter trades. This logic is based on the behavioral observation that failed reversal signals often trigger stronger trend continuation—making this strategy uniquely positioned to exploit trap scenarios. Disclaimer This script is for educational and research purposes only. Trading involves risk, and past performance does not guarantee future results. Always test thoroughly before applying with live capital.
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CMATechnologies tarafından
Dual MACD Strategy [Js.k]Strategy Overview The Dual MACD Strategy leverages two MACD indicators with different parameters to generate buy and sell signals. By combining the trend-following properties of MACD with specific entry/exit criteria, this strategy aims to capture significant price movements while effectively managing risk. Entry and Exit Conditions Long Entry: A buy signal is triggered when: The histogram of MACD1 crosses above zero. The histogram of MACD2 is positive and rising. Short Entry: A sell signal is triggered when: The histogram of MACD1 crosses below zero. The histogram of MACD2 is negative and declining. Risk Management Stop Loss and Take Profit: Stop Loss is set at 1% below the entry price for long positions and 1% above the entry price for short positions. Take Profit is set at 1.5% above the entry price for long positions and 1.5% below the entry price for short positions. Position Sizing: Each trade risks a maximum of 10% of account equity, keeping potential losses manageable and in line with standard trading practices. Backtesting Results The strategy is tested on BTCUSDT with a time frame of 1 hour, resulting in 200+ trades. The initial capital for backtesting is set to $10,000, with a realistic commission of 0.04% and a slippage of 2 ticks. Conclusion This strategy is inspired by Dreadblitz's Double MACD Buy and Sell, as well as some YouTube videos. My purpose in redeveloping them into this strategy is to validate the practicality of the Double MACD. After multiple modifications, this is the final version. I believe its profitability is limited and may lead to losses; please do not use this strategy for live trading.
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Jasonkasei tarafından
1
LANZ Strategy 4.0 [Backtest]🔷 LANZ Strategy 4.0 — Strategy Execution Based on Confirmed Structure + Risk-Based SL/TP LANZ Strategy 4.0 is the official backtesting engine for the LANZ Strategy 4.0 trading logic. It simulates real-time executions based on breakout of Strong/Weak Highs or Lows, using a consistent structural system with SL/TP dynamically calculated per trade. With integrated risk management and lot size logic, this script allows traders to validate LANZ Strategy 4.0 performance with real strategy metrics. 🧠 Core Components: Confirmed Breakout Entries: Trades are executed only when price breaks the most recent structural level (Strong High or Strong Low), detected using swing pivots. Dynamic SL and TP Logic: SL is placed below/above the breakout point with a customizable buffer. TP is defined using a fixed Risk-Reward (RR) ratio. Capital-Based Risk Management: Lot size is calculated based on account equity, SL distance, and pip value (e.g. $10 per pip on XAUUSD). Clean and Controlled Executions: Only one trade is active at a time. No new entries are allowed until the current position is closed. 📊 Visual Features: Automatic plotting of Entry, SL, and TP levels. Full control of swing sensitivity (swingLength) and SL buffer. SL and TP lines extend visually for clarity of trade risk and reward zones. ⚙️ How It Works: Detects pivots and classifies trend direction. Waits for breakout above Strong High (BUY) or below Strong Low (SELL). Calculates dynamic SL and TP based on buffer and RR. Computes trade size automatically based on risk per trade %. Executes entry and manages exits via strategy engine. 📝 Notes: Ideal for evaluating the LANZ Strategy 4.0 logic over historical data. Must be paired with the original indicator (LANZ Strategy 4.0) for live trading. Best used on assets with clear structural behavior (gold, indices, FX). 📌 Credits: Backtest engine developed by LANZ based on the official rules of LANZ Strategy 4.0. This script ensures visual and logical consistency between live charting and backtesting simulations.
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rau_u_lanz tarafından
4
NY Opening Range Breakout - MA StopCore Concept This strategy trades breakouts from the New York opening range (9:30-9:45 AM NY time) on intraday timeframes, designed for scalping and day trading. Setup Requirements Timeframe: Works on any timeframe under 15 minutes (1m, 2m, 3m, 5m, 10m) Session: New York market hours Range Period: 9:30-9:45 AM NY time (15-minute opening range) Entry Rules Long Entries: Wait for a candle to close above the opening range high Enter long on the next candle (before 12:00 PM NY time) Must be above moving average if using MA-based take profit Short Entries: Wait for a candle to close below the opening range low Enter short on the next candle (before 12:00 PM NY time) Must be below moving average if using MA-based take profit Risk Management Stop Loss: Long trades: Opening range low Short trades: Opening range high Take Profit Options: Fixed Risk Reward: 1.5x the range size (customizable ratio) Moving Average: Exit when price crosses back through MA Both: Whichever comes first Key Features Trade Direction Options: Long Only Short Only Both directions Moving Average Filter: Prevents entries that would immediately hit stop loss Uses EMA/SMA/WMA/VWMA with customizable length Acts as dynamic support/resistance Time Restrictions: No entries after 12:00 PM NY time (customizable cutoff) One trade per direction per day Daily reset of all variables Visual Elements Red/green lines showing opening range Purple line for moving average Entry and breakout signals with shapes Take profit and stop loss levels plotted Information table with current status Strategy Logic Flow Morning: Capture 9:30-9:45 range high/low Wait: Monitor for breakout (previous candle close outside range) Filter: Check MA condition if using MA-based exits Enter: Trade on next candle after breakout Manage: Exit at fixed TP, MA cross, or stop loss Reset: Start fresh next trading day This is a momentum-based breakout strategy that capitalizes on early market volatility while using the opening range as natural support/resistance levels.
Pine Script® stratejisi
shui2967 tarafından
RSI SwingRadar🧠 Strategy Overview This long-only strategy combines RSI/MA crossovers with ATR-based risk management, designed for cleaner entries during potential bounce phases — especially tuned for assets like XMR/USDT. 🔍 Core Logic: - RSI Crossover: Entry occurs when the 14-period RSI crosses above its 14-period SMA, signaling a potential shift in momentum. - Oversold Filter: The RSI must have been below a user-defined oversold threshold (default: 35) on the previous candle, filtering for bounce setups after a pullback. - ATR-Based Stop/Target: Stop-loss is placed below the low by a user-adjustable ATR multiplier (default: 0.5×). Take-profit is calculated with a Risk:Reward multiplier (default: 4×). These elements work in tandem — RSI crossovers give momentum confirmation, oversold filtering adds context, and ATR-based exits adapt to volatility, creating a compact yet responsive strategy. 📉 Visuals: - Dynamic Bands: The chart displays the active stop-loss, entry price, and take-profit as colored bands for easy visual tracking. - Clean Overlay: Designed with simplicity — only confirmed setups are shown, keeping noise low. ✅ Suggested Use: - Works best on XMR/USDT or similarly trending assets. - Best suited for pullback entries during broader uptrends. - Adjustable for different volatility conditions and asset behaviors. ⚠️ Disclaimer - This strategy is for educational and research purposes only. - It does not guarantee profitability in any market. - Always backtest, forward-test, and understand your own risk tolerance before using any strategy in a live environment. - Past performance is not indicative of future results. - This script is not financial advice.
Pine Script® stratejisi
TheWaveHunter tarafından