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EMA Cross + RSI + ADX - Autotrade Strategy V2Overview A versatile trend-following strategy combining EMA 9/21 crossovers with RSI momentum filtering and optional ADX trend strength confirmation. Designed for both cryptocurrency and traditional futures/options markets with built-in stop loss management and automated position reversals. Key Features Multi-Market Compatibility: Works on both crypto futures (Bitcoin, Ethereum) and traditional markets (NIFTY, Bank NIFTY, S&P 500 futures, equity options) Triple Confirmation System: EMA crossover + RSI filter + ADX strength (optional) Automated Risk Management: 2% stop loss with wick-touch detection Position Auto-Reversal: Opposite signals automatically close and reverse positions Webhook Ready: Six distinct alert messages for automation (Entry Buy/Sell, Close Long/Short, SL Hit Long/Short) Performance Metrics NIFTY Futures (15min): 50%+ win rate with ADX filter OFF Crypto Markets: Requires extensive backtesting before live deployment Optimal Timeframes: 15-minute to 1-hour charts (patience required for higher timeframes) Strategy Logic Entry Signals: LONG: EMA 9 crosses above EMA 21 + RSI > 55 + ADX > 20 (if enabled) SHORT: EMA 9 crosses below EMA 21 + RSI < 45 + ADX > 20 (if enabled) Exit Signals: Opposite EMA crossover (auto-closes current position) Stop loss hit at 2% from entry price (tracks candle wicks) Technical Indicators: Fast EMA: 9-period (short-term trend) Slow EMA: 21-period (primary trend) RSI: 14-period with 55/45 thresholds (momentum confirmation) ADX: 14-period with 20 threshold (trend strength filter - optional) Market-Specific Settings Traditional Markets (NIFTY, Bank NIFTY, S&P Futures, Options) Recommended Settings: ADX Filter: Turn OFF (less choppy, cleaner trends) Timeframe: 15-minute chart Win Rate: 50%+ on NIFTY Futures Why No ADX: Traditional markets have more institutional participation and smoother price action, making ADX unnecessary Cryptocurrency Markets (BTC, ETH, Altcoins) Recommended Settings: ADX Filter: Turn ON (ADX > 20) Timeframe: 15-minute to 1-hour Extensive backtesting required before live trading Why ADX: Crypto markets are highly volatile and prone to false breakouts; ADX filters low-quality chop Best Practices ✅ Backtest thoroughly on your specific instrument and timeframe ✅ Use larger timeframes (1H, 4H) for higher quality signals and better risk/reward ✅ Adjust RSI thresholds based on market volatility (try 52/48 for more signals, 60/40 for fewer but stronger) ✅ Monitor ADX effectiveness - disable for traditional markets, enable for crypto ✅ Proper position sizing - adjust default_qty_value based on your capital and instrument price ✅ Paper trade first - test for 2-4 weeks before risking real capital Risk Management Fixed 2% stop loss per trade (adjustable) Stop loss tracks candle wicks for accurate execution Positions auto-reverse on opposite signals (no manual intervention needed) 0.075% commission built into backtest (adjust for your broker) Customization Options All parameters are adjustable via inputs: EMA periods (default: 9/21) RSI length and thresholds (default: 14-period, 55/45 levels) ADX length and threshold (default: 14-period, 20 threshold) Stop loss percentage (default: 2%) Webhook Automation This strategy includes six distinct alert messages for automated trading: "Entry Buy" - Long position opened "Entry Sell" - Short position opened "Close Long" - Long position closed on opposite crossover "Close Short" - Short position closed on opposite crossover "SL Hit Long" - Long stop loss triggered "SL Hit Short" - Short stop loss triggered Compatible with Delta Exchange, Binance Futures, 3Commas, Alertatron, and other webhook platforms. Important Notes ⚠️ Crypto markets require extensive backtesting - volatility patterns differ significantly from traditional markets ⚠️ Higher timeframes = better results - 15min works but 1H/4H provide cleaner signals ⚠️ ADX toggle is critical - OFF for traditional markets, ON for crypto ⚠️ Not financial advice - always conduct your own research and use proper risk management ⚠️ Past performance ≠ future results - backtest results may not reflect live trading conditions Disclaimer This strategy is for educational and informational purposes only. Trading futures and options involves substantial risk of loss. Always backtest thoroughly, start with paper trading, and never risk more than you can afford to lose. The author assumes no responsibility for any trading losses incurred using this strategy.
Pine Script® strategy
by varuns_back
2
QQQ TimingThis is a trend-following position trading strategy designed for the QQQ and the leveraged ETF QLD (ProShares Ultra QQQ). The primary goal is to capture multi-month holds for maximal profit. Key Instruments & Performance The strategy performs best with QLD, which yields far superior results compared to QQQ. TQQQ (triple-leveraged) results in higher drawdowns and is not the optimal choice. Important: The system is not intended for use with other indexes, individual stocks, or investments (like crypto or gold), as performance can vary widely. Buy Signals The strategy's signals are rooted in the S&P 500 Index (SPX), as testing showed it provides more reliable triggers than using QQQ itself. Primary Buy Signal (Credit to IBD/Mike Webster): The SPX triggers a buy when its low closes above the 21-day Exponential Moving Average (EMA) for three consecutive days. Refinement with Downtrend Lines: During corrective or bear periods, results and drawdowns can be significantly improved by incorporating downtrend lines. These lines connect lower highs. The strategy waits for the price to close above a drawn downtrend line before executing a buy. This refinement can modify the primary signal, either by allowing for an earlier entry or, in some cases, completely nullifying a false signal until the trend change proves itself. Risk Management & Exit Strategy Initial Buy Risk: A 3.7% stop loss is applied immediately upon the initial entry. Initial Exit Rule: An exit is required if the QQQ's low drops below the 50-day Simple Moving Average (SMA). Note: The 3.7% stop often provides protection when the initial buy occurs below the 50-day SMA. However, if QQQ is already trading above its 50-day SMA at the time of the SPX signal (indicating relative strength), historically, it has been better to use the 50-day SMA rule to give the position more room to run. Trend Exit (Profit-Taking): To stay in a strong trend for the optimal amount of time, the long position is exited when a moving average crossover to the downside is triggered, based around the 107-day Simple Moving Average (SMA).
Pine Script® strategy
by market_quester
RastaRasta — Educational Strategy (Pine v5) Momentum · Smoothing · Trend Study Overview The Rasta Strategy is a visual and educational framework designed to help traders study momentum transitions using the interaction between a fast-reacting EMA line and a slower smoothed reference line. It is not a signal generator or profit system; it’s a learning tool for understanding how smoothing, crossovers, and filters interact under different market conditions. The script displays: A primary EMA line (the fast reactive wave). A Smoothed line (using your chosen smoothing method). Optional fog zones between them for quick visual context. Optional DNA rungs connecting both lines to illustrate volatility compression and expansion. Optional EMA 8 / EMA 21 trend filter to observe higher-time-frame alignment. Core Idea The Rasta model focuses on wave interaction. When the fast EMA crosses above the smoothed line, it reflects a shift in short-term momentum relative to background trend pressure. Cross-unders suggest weakening or reversal. Rather than treating this as a trading “signal,” use it to observe structure, study trend alignment, and test how smoothing type affects reaction speed. Smoothing Types Explained The script lets you experiment with multiple smoothing techniques: Type Description Use Case SMA (Simple Moving Average) Arithmetic mean of the last n values. Smooth and steady, but slower. Trend-following studies; filters noise on higher time frames. EMA (Exponential Moving Average) Weights recent data more. Responds faster to new price action. Momentum or reactive strategies; quick shifts and reversals. RMA (Relative Moving Average) Used internally by RSI; smooths exponentially but slower than EMA. Momentum confirmation; balanced response. WMA (Weighted Moving Average) Linear weights emphasizing the most recent data strongly. Intraday scalping; crisp but potentially noisy. None Disables smoothing; uses the EMA line alone. Raw comparison baseline. Each smoothing method changes how early or late the strategy reacts: Faster smoothing (EMA/WMA) = more responsive, good for scalping. Slower smoothing (SMA/RMA) = more stable, good for trend following. Modes of Study 🔹 Scalper Mode Use short EMA lengths (e.g., 3–5) and fast smoothing (EMA or WMA). Focus on 1 min – 15 min charts. Watch how quick crossovers appear near local tops/bottoms. Fog and rung compression reveal volatility contraction before bursts. Goal: study short-term rhythm and liquidity pulses. 🔹 Momentum Mode Use moderate EMA (5–9) and RMA smoothing. Ideal for 1 H–4 H charts. Observe how the fog color aligns with trend shifts. EMA 8 / 21 filter can act as macro bias; “Enter” labels will appear only in its direction when enabled. Goal: study sustained motion between pullbacks and acceleration waves. 🔹 Trend-Follower Mode Use longer EMA (13–21) with SMA smoothing. Great for daily/weekly charts. Focus on periods where fog stays unbroken for long stretches — these illustrate clear trend dominance. Watch rung spacing: tight clusters often precede consolidations; wide rungs signal expanding volatility. Goal: visualize slow-motion trend transitions and filter whipsaw conditions. Components EMA Line (Red): Fast-reacting short-term direction. Smoothed Line (Yellow): Reference trend baseline. Fog Zone: Green when EMA > Smoothed (up-momentum), red when below. DNA Rungs: Thin connectors showing volatility structure. EMA 8 / 21 Filter (optional): When enabled, the strategy will only allow Enter events if EMA 8 > EMA 21. Use this to study higher-trend gating effects. Educational Applications Momentum Visualization: Observe how the fast EMA “breathes” around the smoothed baseline. Trend Transitions: Compare different smoothing types to see how early or late reversals are detected. Noise Filtering: Experiment with fog opacity and smoothing lengths to understand trade-off between responsiveness and stability. Risk Concept Simulation: Includes a simple fixed stop-loss parameter (default 13%) for educational demonstrations of position management in the Strategy Tester. How to Use Add to Chart → “Strategy.” Works on any timeframe and instrument. Adjust Parameters: Length: base EMA speed. Smoothing Type: choose SMA, EMA, RMA, or WMA. Smoothing Length: controls delay and smoothness. EMA 8 / 21 Filter: toggles trend gating. Fog & Rungs: visual study options only. Study Behavior: Use Strategy Tester → List of Trades for entry/exit context. Observe how different smoothing types affect early vs. late “Enter” points. Compare trend periods vs. ranging periods to evaluate efficiency. Combine with External Tools: Overlay RSI, MACD, or Volume for deeper correlation analysis. Use replay mode to visualize crossovers in live sequence. Interpreting the Labels Enter: Marks where fast EMA crosses above the smoothed line (or when filter flips positive). Exit: Marks where fast EMA crosses back below. These are purely analytical markers — they do not represent trade advice. Educational Value The Rasta framework helps learners explore: Reaction time differences between moving-average algorithms. Impact of smoothing on signal clarity. Interaction of local and global trends. Visualization of volatility contraction (tight DNA rungs) and expansion (wide fog zones). It’s a sandbox for studying price structure, not a promise of profit. Disclaimer This script is provided for educational and research purposes only. It does not constitute financial advice, trading signals, or performance guarantees. Past market behavior does not predict future outcomes. Users are encouraged to experiment responsibly, record observations, and develop their own understanding of price behavior. Author: Michael Culpepper (mikeyc747) License: Educational / Open for study and modification with credit. Philosophy: “Learning the rhythm of the market is more valuable than chasing its profits.” — Rasta
Pine Script® strategy
by mikeyc747
Target Trend + Filter Toggles Strategy [ChadAnt]The strategy aims to enter a trade when the price crosses over/under a dynamic trend band and when a combination of user-selected filters confirms the move. 1. Trend Bands (Entry) The core trend is defined by two smoothed moving averages (SMA based on length input) offset by a smoothed Average True Range (ATR) value. Upper Band (sma_high): ta.sma(high, length) + atr_value Lower Band (sma_low): ta.sma(low, length) - atr_value atr_value is ta.sma(ta.atr(atrLength), smaLength) * atrMultiplier. Trend Determination: Long Trend (trend = true): Price crossovers the sma_high band. Short Trend (trend = false): Price crossesunder the sma_low band. Raw Signal: A trade signal (signal_up_raw / signal_down_raw) is triggered only when the trend state changes. 2. Stop Loss and Take Profit Stop Loss (SL): For a Long entry, the original stop price is the Lower Band (sma_low) at the time of the cross. For a Short entry, the original stop price is the Upper Band (sma_high) at the time of the cross. The Stop Loss Price is calculated using the distance from the entry price to the original stop, adjusted by the slAdjustment multiplier. Take Profit (TP): Calculated based on a Risk/Reward (R:R) ratio, which is rr_increment * tp_target_number. TP Distance = Adjusted Stop Distance * R:R Ratio. The strategy enters and exits in a single order pair using strategy.entry and strategy.exit, using the calculated stop_loss_price and take_profit_price. 3. Filters and Confirmation The strategy includes toggles (use_..._filter) for many popular indicators: MACD, Volume, StochRSI, Awesome Oscillator (AO), and Moving Average/VWAP (Trend/Counter-Trend). Filter Logic: Each filter checks for its specific confirmation condition (e.g., MACD zero-cross, AO color change, StochRSI out of extreme, Volume > SMA, Price above MA). Lookback Period: The script uses a for loop (i = 0 to filter_lookback) to check if the required confirmation happened within the last filter_lookback bars. Final Signal: The actual entry signal (signal_up / signal_down) is triggered only if the Raw Trend Change Signal occurs AND all currently active (toggled on) filters had their required confirmation event within the lookback period AND the trade is within the Time Window. The draw_targets method is responsible for the powerful visual display on the chart: When a new filtered signal occurs, it clears any old lines/labels and draws the new: Entry line Stop Loss line Multiple Take Profit lines (up to num_targets), with the strategy's active TP level highlighted (🎯). It also features logic to dynamically change the label/line of a TP level to a "✔" or the SL level to a "✖" if the price touches that level on subsequent bars. The strategy is a highly flexible, multi-factor system built on the concept of trend reversal confirmation.
Pine Script® strategy
by ChadAnt
5
W%R Pullback+EMA Trend [TS_Indie]🔰 Core Concept of the Strategy The main idea is “Trend-Following with Momentum Pullback.” This means trading in the direction of the main trend (defined by EMA) while using Williams %R to identify pullback entries (buying the dip or selling the rally) where momentum returns to the trend direction. 📊 Indicators Used 1. EMA Fast – Defines the short-term trend. 2. EMA Slow – Defines the long-term trend (used as a trend filter). 3. Williams %R • Overbought zone: above -20 • Oversold zone: below -80 ⚙️ Entry Rules 🔹 Buy Setup 1. EMA Fast > EMA Slow → Uptrend condition. 2. Williams %R on the previous candle dropped below -80, and on the current candle, it crosses back above -80 → indicates momentum returning to the upside. 3. Current close is above EMA Fast. 4. Entry Buy at the close of the candle where %R crosses above -80. 🎯 Entry, Stop Loss, and Take Profit 1. Entry : At the candle close where the signal occurs. 2. Stop Loss : At the lowest low between the current and previous candles. 3. Take Profit : Calculated based on entry price and stop loss distance multiplied by the Risk/Reward Ratio. 🔹 Sell Setup 1. EMA Fast < EMA Slow → Downtrend condition. 2. Williams %R on the previous candle went above -20, and on the current candle, it crosses back below -20 → indicates renewed selling momentum. 3. Current price is below EMA Fast. 4. Entry Sell at the close of the candle where %R crosses below -20. 🎯 Entry, Stop Loss, and Take Profit 1. Entry : At the candle close where the signal occurs. 2. Stop Loss : At the highest high between the current and previous candles. 3. Take Profit : Calculated based on entry price and stop loss distance multiplied by the Risk/Reward Ratio. ⚙️ Optional Parameters • Custom Risk/Reward Ratio for Take Profit. • Option to add ATR buffer to Stop Loss. • Adjustable EMA Fast period. • Adjustable EMA Slow period. • Adjustable Williams %R period. • Option to enable Long only / Short only positions. • Customizable Backtest start and end date. • Customizable trading session time. ⏰ Alert Function Alerts display: • Entry price • Stop Loss price • Take Profit price Guys, try adjusting the parameters yourselves! I’ve been tweaking the settings for several days and managed to get great results on XAU/USD in the 5-minute timeframe. I think this strategy is quite interesting and could potentially deliver good results on other instruments as well. ⚠️ Disclaimer This indicator is designed for educational and research purposes only. It does not guarantee profits and should not be considered financial advice. Trading in financial markets involves significant risk, including the potential loss of capital.
Pine Script® strategy
by Truth_Strategy_Indie
PSAR with ATR Trailing Stop + SMA Filter📈 Strategy Overview: PSAR + 6×ATR Trailing Stop with SMA Filter This strategy is built around the principle of “Cut the losers, let the winners run” — a disciplined, trend-following approach that combines the Parabolic SAR indicator with dynamic risk management and a Simple Moving Average (SMA) trend filter. 🔍 Strategy Logic Trend Filter Trades are only taken in the direction of the prevailing trend, defined by a user-selected SMA (default: 100). ✅ Long trades only when price is above the SMA ✅ Short trades only when price is below the SMA Entry Signal: A trade is triggered when the Parabolic SAR flips to the opposite side of the price bars, signaling a potential trend reversal. Stop Loss: The stop loss is dynamically set at 6×ATR from the entry price. This adapts to market volatility and is recalculated every bar — effectively acting as a trailing stop. Exit Logic: There is no fixed take profit. The trade remains open until the trailing stop is hit — allowing winners to run and losers to be cut quickly. Risk Management: Each trade risks 0.5% of total equity, ensuring consistent position sizing and capital preservation. 📊 Visual Elements PSAR dots mark trend direction changes SMA line shows the broader trend filter Trailing stop crosses (with 50% opacity) indicate the current stop level without cluttering the chart ⚙️ Customizable Inputs PSAR parameters: Start, Increment, Maximum ATR length and multiplier SMA length Risk percentage per trade This strategy is ideal for traders who want to stay aligned with the trend, automate disciplined exits, and avoid emotional decision-making. Clean, simple, and powerful. Wishing you calm and successful trades!
Pine Script® strategy
by kostastrovas
CDC BACKTEST (MACD) FIX AMOUNT $200k per trade This strategy implements an Exponential Moving Average (EMA) Crossover System designed for backtesting and performance evaluation. EMA 12,26 (MACD) The trading logic is based on the crossover between two EMAs — a short-term EMA (12) and a long-term EMA (26) — which serves as a momentum-based signal for trend identification. Buy Condition: A long (buy) position is entered when the 12-period EMA crosses above the 26-period EMA, indicating a potential upward trend or bullish momentum. Sell Condition: A position is closed, or a short (sell) position is opened, when the 12-period EMA crosses below the 26-period EMA, signaling a potential downward trend or bearish momentum. Position Sizing: Each trade with a fixed position size of 200,000 USD (default), while the starting account balance is set at 400,000 (USD). Both the fixed trade amount and the initial balance are user-adjustable parameters, allowing flexibility for different risk preferences and portfolio sizes.
Pine Script® strategy
by domesorawit
HEK Dinamik Fiyat Kanalı Stratejisi v1HEK Dynamic Price Channel Strategy Concept The HEK Dynamic Price Channel provides a channel structure that expands and contracts according to price momentum and time-based equilibrium. Unlike fixed-band systems, it evaluates the interaction between price and its balance line through an adaptive channel width that dynamically adjusts to changing market conditions. How It Works When the price reacts to the midline, the channel bands automatically reposition themselves. Touching the upper band indicates a strengthening trend, while touching the lower band signals weakening momentum. This adaptive mechanism helps filter out false signals during sudden directional changes, enhancing overall signal quality. Advantages ✅ Maintains trend continuity while avoiding overtrading. ✅ Automatically adapts to changing volatility conditions. ✅ Detects early signals of short- and mid-term trend reversals. Applications Directional confirmation in spot and futures markets. A supporting tool in channel breakout strategies. Identifying price consolidation and equilibrium zones. Note This strategy is intended for educational and research purposes only. It should not be considered financial advice. Always consult a professional financial advisor before making investment decisions. © HEK — Adaptive Channel Approach on Dynamic Market Structures 6 gün önce Sürüm Notları HEK Dynamic Price Channel Strategy Concept The HEK Dynamic Price Channel provides a channel structure that expands and contracts according to price momentum and time-based equilibrium. Unlike fixed-band systems, it evaluates the interaction between price and its balance line through an adaptive channel width that dynamically adjusts to changing market conditions. How It Works When the price reacts to the midline, the channel bands automatically reposition themselves. Touching the upper band indicates a strengthening trend, while touching the lower band signals weakening momentum. This adaptive mechanism helps filter out false signals during sudden directional changes, enhancing overall signal quality. Advantages ✅ Maintains trend continuity while avoiding overtrading. ✅ Automatically adapts to changing volatility conditions. ✅ Detects early signals of short- and mid-term trend reversals. Applications Directional confirmation in spot and futures markets. A supporting tool in channel breakout strategies. Identifying price consolidation and equilibrium zones. Note This strategy is intended for educational and research purposes only. It should not be considered financial advice. Always consult a professional financial advisor before making investment decisions. © HEK — Adaptive Channel Approach on Dynamic Market Structures
Pine Script® strategy
by hekorucuklu
Option Buying Strategy By Raj PandyaThis strategy is designed for intraday trading on BankNifty using a powerful confluence of trend, structure and momentum. It combines the 9-period Exponential Moving Average (EMA) with Daily Traditional Pivot Points to identify high-probability breakout trades. A Long (CALL) signal is generated when price crosses and closes above both the 9 EMA and the Daily Pivot Point (PP), confirming upward trend strength. A Short (PUT) signal triggers when price crosses and closes below the 9 EMA and PP, signaling downside momentum. To reduce false signals, the strategy uses RSI with a moving average filter to ensure momentum aligns with price action. Risk management is built-in with previous candle high/low stop-loss, a fixed 50-point target, and an automatic trailing stop system to protect profits on trending days. This helps capitalize on strong momentum while managing risk effectively. This strategy works best on the 5-minute timeframe and is optimized for BankNifty futures/options. It aims to capture clean directional moves around key intraday value levels used by institutional traders.
Pine Script® strategy
by rajpandya18477
💻 RSI Dual-Band Reversal Strategy (Hacker Mode)This 💻 RSI Dual-Band Reversal Strategy (Hacker Mode) is a mean-reversion trading strategy built on the Relative Strength Index (RSI) indicator. It identifies potential trend reversals when price momentum reaches extreme overbought or oversold levels — then enters trades expecting the price to revert. ⚙️ Strategy Concept The RSI measures market momentum on a scale of 0–100. When RSI is too low, it signals an oversold market → potential buy. When RSI is too high, it signals an overbought market → potential sell. This strategy sets two reversal zones using dual RSI bands: Zone RSI Range Meaning Action Upper Band 80–90 Overbought Prepare to Sell Lower Band 10–20 Oversold Prepare to Buy 🧩 Code Breakdown 1. Input Parameters rsiLength = input.int(14) upperBandHigh = input.float(90.0) upperBandLow = input.float(80.0) lowerBandLow = input.float(10.0) lowerBandHigh = input.float(20.0) You can adjust: RSI Length (default 14) → sensitivity of the RSI. Upper/Lower Bands → control when buy/sell triggers occur. 2. RSI Calculation rsi = ta.rsi(close, rsiLength) Calculates the RSI of the closing price over 14 periods. 3. Signal Logic buySignal = ta.crossover(rsi, lowerBandHigh) sellSignal = ta.crossunder(rsi, upperBandLow) Buy Signal: RSI crosses up through 20 → market rebounding from oversold. Sell Signal: RSI crosses down through 80 → market turning from overbought. 4. Plotting RSI line (lime green) Bands: 🔴 80–90 (Sell Zone) 🟢 10–20 (Buy Zone) Gray midline at 50 for reference. Triangle markers for signals: 🟢 “BUY” below chart 🔴 “SELL” above chart 5. Trading Logic if (buySignal) strategy.entry("Buy", strategy.long) if (sellSignal) strategy.entry("Sell", CRYPTO:BTCUSD strategy.short OANDA:XAUUSD ) Opens a long position on a buy signal. Opens a short position on a sell signal. No explicit stop loss or take profit — positions reverse when an opposite signal appears. 🧠 How It Works (Step-by-Step Example) RSI drops below 20 → oversold → buy signal triggers. RSI rises toward 80 → overbought → sell signal triggers. Strategy flips position, always staying in the market (either long or short). 📈 Visual Summary Imagine the RSI line oscillating between 0 and 100: 100 ──────────────────────────────── 90 ───── Upper Band High (Sell Limit) 80 ───── Upper Band Low (Sell Trigger) 50 ───── Midline 20 ───── Lower Band High (Buy Trigger) 10 ───── Lower Band Low (Buy Limit) 0 ──────────────────────────────── When RSI moves above 80 → SELL When RSI moves below 20 → BUY ⚡ Strategy Profile Category Description Type Mean Reversion Entry Rule RSI crosses up 20 → Buy Exit/Reverse Rule RSI crosses down 80 → Sell Strengths Simple, effective in sideways/range markets, minimal lag Weaknesses Weak in strong trends, no stop-loss or take-profit logic 💡 Suggested Improvements You can enhance this script by adding: Stop loss & take profit levels (e.g., % or ATR-based). Trend filter (e.g., trade only in direction of 200 EMA). RSI smoothing to reduce noise.
Pine Script® strategy
by TheCleverTraders
Trend Pullback System```{"variant":"standard","id":"36492","title":"Trend Pullback System Description"} Trend Pullback System is a price-action trend continuation model that looks to enter on pullbacks, not breakouts. It’s designed to find high-quality long/short entries inside an already established trend, place the stop at meaningful structure, trail that stop as structure evolves, and warn you when the trade thesis is no longer valid. Developed by: Mohammed Bedaiwi --------------------------------- HOW IT WORKS --------------------------------- 1. Trend Detection • The strategy defines overall bias using moving averages. • Bullish environment (“uptrend”): price above the slower MA, fast MA above slow MA, and the slow MA is sloping up. • Bearish environment (“downtrend”): price below the slower MA, fast MA below slow MA, and the slow MA is sloping down. This prevents trading against chop and focuses on continuation moves in the dominant direction. 2. Pullback + Re-entry Logic • The script waits for price to pull back into structure (support in an uptrend, resistance in a downtrend), and then push back in the direction of the main trend. • That “push back” is the setup trigger. We don’t chase the first breakout candle — we buy/sell the retest + resume. 3. Structural Levels (“Diamonds”) • Green diamond (below bar): bullish pivot low formed while the trend is bullish. This marks defended support. - Use it as a re-entry zone for longs. - Use it to trail a stop higher when you’re already long. - Shorts can take profit here because buyers stepped in. • Red diamond (above bar): bearish pivot high formed while the trend is bearish. This marks defended resistance. - Use it as a re-entry zone for shorts. - Use it to trail a stop lower when you’re already short. - Longs can take profit here because sellers stepped in. 4. Entry Signals • BUY arrow (green triangle up under the candle, text like “BUY” / “BUY Zone”): - LongSetup is true. - Trend is bullish or turning bullish. - Price just bounced off recent defended support (green diamond) and reclaimed short-term momentum. Meaning: enter long here or cover/exit shorts. • SELL arrow (red triangle down above the candle): - ShortSetup is true. - Trend is bearish or turning bearish. - Price just rolled down from defended resistance (red diamond) and lost short-term momentum. Meaning: enter short here or take profit on longs. These are the primary trade entries. They are meant to be actionable. 5. Weak Setups (“W” in yellow) • Yellow triangle with “W”: - A possible long/short idea is trying to form, BUT the higher-timeframe confirmation is not fully there yet. - Think of it as early pressure / early caution, not a full signal. • You usually watch these areas rather than jumping in immediately. 6. Exit Warning (orange “EXIT” label above a bar) • The strategy will raise an EXIT marker when you’re in a trade and the *opposite* side just produced a confirmed setup. - You’re short and a valid longSetup appears → EXIT. - You’re long and a valid shortSetup appears → EXIT. • This is basically: “Close or reduce — the other side just took control.” • It’s not just a trailing stop hit; it’s a regime flip warning. 7. Stop, Target, and Trailing • On every new setup, the script records: - Initial stop: recent swing beyond the defended level (below support for longs, above resistance for shorts). - Initial target: recent opposing swing. • While you’re in position, if new confirming diamonds print in your favor, the stop can trail toward the new defended level. • This creates structure-based risk management (not just fixed % or ATR). 8. Reference Levels • The strategy also plots prior higher-timeframe closes (last week’s close, last month’s close, last year’s close). These can behave as magnets or stall points. • They’re helpful for take-profit timing and for reading “are we trading above or below last month’s close?” 9. Momentum Panel (hidden by default) • Internally, the script calculates an SMI-style momentum oscillator with overbought/oversold zones. • This is optional visual confirmation and does not drive the core entry/exit logic. --------------------------------- WHAT A TRADE LOOKS LIKE IN REAL PRICE ACTION --------------------------------- Early warning • Yellow W + red diamonds + red down arrows = “This is getting weak. Short setups are here.” • You may also see something like “My Short Entry Id.” That’s where the short side actually engages. Bearish follow-through, then exhaustion • Price bleeds down. • Then the orange EXIT appears. → Translation: “If you’re still short, close it. Buyers are stepping in hard. Risk of reversal is now high.” Regime flip • Right after EXIT, multiple green BUY arrows fire together (“BUY”, “BUYZone”). • That’s the true long trigger. → This is where you either enter long or flip from short to long. Expansion leg • After that flip, price rips up for multiple candles / days / weeks. • While it runs: - Green diamonds appear under pullbacks → “dip buy zones / trail stop up here.” - More BUY arrows show on minor pullbacks → continuation long / scale adds. Distribution / topping • Later, you start seeing new yellow W triangles again near local highs. That’s your “careful, this might be topping” warning. • You finally get a hard red candle, and green diamonds stop stacking. → That’s where you tighten risk, scale out, or assume the move is mature. In plain terms, the model is doing the following for you: • It puts you short during weakness. • It tells you when to get OUT of the short. • It flips you long right as control changes. • It gives you a structure-based trail the whole way up. • It warns you again when momentum at the top starts cracking. That is exactly how the logic was designed. --------------------------------- QUICK INTERPRETATION CHEAT SHEET --------------------------------- 🔻 Red triangle + “Short Entry” near a red diamond → Short entry zone (or take profit on a long). 🟥 Red diamond above bar → Sellers defended here. Treat it as resistance. Good place to trail short stops just above that level. Avoid chasing longs straight into it. 🟨 Yellow W → Attention only. Early pressure / possible turn. Not fully confirmed. 🟧 EXIT (orange label) → The opposite side just printed a real setup. Close the old idea (cover shorts if you’re short, exit longs if you’re long). Thesis invalid. 🟩 Burst of green BUY triangles after EXIT → Long entry. Also a “cover shorts now” alert. This is the core money entry in bullish reversals. 💎 Green diamond below bar → Bulls defended that level. Good for trailing your long stop up, and good “buy the dip in trend” locations. 📈 Blue / teal MAs stacked and rising → Confirmed bullish structure. You’re in trend continuation mode, so dips are opportunities, not automatic exits. --------------------------------- COLOR / SHAPE KEY --------------------------------- • Green triangle up (“BUY”, “BUY Zone”): Long entry / cover shorts / continuation long trigger. • Red triangle down: Short entry / take profit on longs / continuation short trigger. • Orange “EXIT” label: Opposite side just fired a real setup. The previous trade thesis is now invalid. • Green diamond below price: Bullish defended support in an uptrend. Use for dip buys, trailing stops on longs, and objective cover zones for shorts. • Red diamond above price: Bearish defended resistance in a downtrend. Use for re-entry shorts, trailing stops on shorts, and objective scale-out zones for longs. • Yellow “W”: Weak / early potential setup. Watch it, don’t blindly trust it. • Moving average bands (fast MA, slow MA, Hull MA): When stacked and rising, bullish control. When stacked and falling, bearish control. --------------------------------- INTENT --------------------------------- This system is built to: • Trade with momentum, not against it. • Enter on pullbacks into proven structure, not chase stretched breakouts. • Automate stop/target logic around actual defended swing levels. • Warn you when the other side takes over so you don’t give back gains. Typical usage: 1. In an uptrend, wait for price to pull back, print a green diamond (support proved), then take the first BUY arrow that fires. 2. In a downtrend, wait for a bounce into resistance, print a red diamond (sellers proved), then take the first SELL arrow that fires. 3. Respect EXIT when it appears — that’s the model saying “this trade is done.” --------------------------------- DISCLAIMER --------------------------------- This script is for educational and research purposes only. It is not financial advice, investment advice, or a recommendation to buy or sell any security, cryptoasset, or derivative. Markets carry risk. Past performance does not guarantee future results. You are fully responsible for your own decisions, position sizing, risk management, and compliance with all applicable laws and regulations.
Pine Script® strategy
by mbedaiwi2
Iriza4 -DAX EMA+HULL+ADX TP40 SL205 MIN SKALP. Additional filters improve accuracy: the strategy blocks trades after too many consecutive bullish or bearish candles (streak filter) and ignores signals when price is too far from the EMA (measured by ATR distance). Each position uses a fixed risk-to-reward ratio of 1 : 2 with clear stop-loss and take-profit targets, without partial exits or breakevens. The goal is to identify clean pullbacks inside strong trends and filter out late or exhausted entries
Pine Script® strategy
by Radoje1984
Zero Lag Trend Signals (MTF) [Quant Trading] V7Overview The Zero Lag Trend Signals (MTF) V7 is a comprehensive trend-following strategy that combines Zero Lag Exponential Moving Average (ZLEMA) with volatility-based bands to identify high-probability trade entries and exits. This strategy is designed to reduce lag inherent in traditional moving averages while incorporating dynamic risk management through ATR-based stops and multiple exit mechanisms. This is a longer term horizon strategy that takes limited trades. It is not a high frequency trading and therefore will also have limited data and not > 100 trades. How It Works Core Signal Generation: The strategy uses a Zero Lag EMA (ZLEMA) calculated by applying an EMA to price data that has been adjusted for lag: Calculate lag period: floor((length - 1) / 2) Apply lag correction: src + (src - src ) Calculate ZLEMA: EMA of lag-corrected price Volatility bands are created using the highest ATR over a lookback period multiplied by a band multiplier. These bands are added to and subtracted from the ZLEMA line to create upper and lower boundaries. Trend Detection: The strategy maintains a trend variable that switches between bullish (1) and bearish (-1): Long Signal: Triggers when price crosses above ZLEMA + volatility band Short Signal: Triggers when price crosses below ZLEMA - volatility band Optional ZLEMA Trend Confirmation: When enabled, this filter requires ZLEMA to show directional momentum before entry: Bullish Confirmation: ZLEMA must increase for 4 consecutive bars Bearish Confirmation: ZLEMA must decrease for 4 consecutive bars This additional filter helps avoid false signals in choppy or ranging markets. Risk Management Features: The strategy includes multiple stop-loss and take-profit mechanisms: Volatility-Based Stops: Default stop-loss is placed at ZLEMA ± volatility band ATR-Based Stops: Dynamic stop-loss calculated as entry price ± (ATR × multiplier) ATR Trailing Stop: Ratcheting stop-loss that follows price but never moves against position Risk-Reward Profit Target: Take-profit level set as a multiple of stop distance Break-Even Stop: Moves stop to entry price after reaching specified R:R ratio Trend-Based Exit: Closes position when price crosses EMA in opposite direction Performance Tracking: The strategy includes optional features for monitoring and analyzing trades: Floating Statistics Table: Displays key metrics including win rate, GOA (Gain on Account), net P&L, and max drawdown Trade Log Labels: Shows entry/exit prices, P&L, bars held, and exit reason for each closed trade CSV Export Fields: Outputs trade data for external analysis Default Strategy Settings Commission & Slippage: Commission: 0.1% per trade Slippage: 3 ticks Initial Capital: $1,000 Position Size: 100% of equity per trade Main Calculation Parameters: Length: 70 (range: 70-7000) - Controls ZLEMA calculation period Band Multiplier: 1.2 - Adjusts width of volatility bands Entry Conditions (All Disabled by Default): Use ZLEMA Trend Confirmation: OFF - Requires ZLEMA directional momentum Re-Enter on Long Trend: OFF - Allows multiple entries during sustained trends Short Trades: Allow Short Trades: OFF - Strategy is long-only by default Performance Settings (All Disabled by Default): Use Profit Target: OFF Profit Target Risk-Reward Ratio: 2.0 (when enabled) Dynamic TP/SL (All Disabled by Default): Use ATR-Based Stop-Loss & Take-Profit: OFF ATR Length: 14 Stop-Loss ATR Multiplier: 1.5 Profit Target ATR Multiplier: 2.5 Use ATR Trailing Stop: OFF Trailing Stop ATR Multiplier: 1.5 Use Break-Even Stop-Loss: OFF Move SL to Break-Even After RR: 1.5 Use Trend-Based Take Profit: OFF EMA Exit Length: 9 Trade Data Display (All Disabled by Default): Show Floating Stats Table: OFF Show Trade Log Labels: OFF Enable CSV Export: OFF Trade Label Vertical Offset: 0.5 Backtesting Date Range: Start Date: January 1, 2018 End Date: December 31, 2069 Important Usage Notes Default Configuration: The strategy operates in its most basic form with default settings - using only ZLEMA crossovers with volatility bands and volatility-based stop-losses. All advanced features must be manually enabled. Stop-Loss Priority: If multiple stop-loss methods are enabled simultaneously, the strategy will use whichever condition is hit first. ATR-based stops override volatility-based stops when enabled. Long-Only by Default: Short trading is disabled by default. Enable "Allow Short Trades" to trade both directions. Performance Monitoring: Enable the floating stats table and trade log labels to visualize strategy performance during backtesting. Exit Mechanisms: The strategy can exit trades through multiple methods: stop-loss hit, take-profit reached, trend reversal, or trailing stop activation. The trade log identifies which exit method was used. Re-Entry Logic: When "Re-Enter on Long Trend" is enabled with ZLEMA trend confirmation, the strategy can take multiple long positions during extended uptrends as long as all entry conditions remain valid. Capital Efficiency: Default setting uses 100% of equity per trade. Adjust "default_qty_value" to manage position sizing based on risk tolerance. Realistic Backtesting: Strategy includes commission (0.1%) and slippage (3 ticks) to provide realistic performance expectations. These values should be adjusted based on your broker and market conditions. Recommended Use Cases Trending Markets: Best suited for markets with clear directional moves where trend-following strategies excel Medium to Long-Term Trading: The default length of 70 makes this strategy more appropriate for swing trading rather than scalping Risk-Conscious Traders: Multiple stop-loss options allow traders to customize risk management to their comfort level Backtesting & Optimization: Comprehensive performance tracking features make this strategy ideal for testing different parameter combinations Limitations & Considerations Like all trend-following strategies, performance may suffer in choppy or ranging markets Default 100% position sizing means full capital exposure per trade - consider reducing for conservative risk management Higher length values (70+) reduce signal frequency but may improve signal quality Multiple simultaneous risk management features may create conflicting exit signals Past performance shown in backtests does not guarantee future results Customization Tips For more aggressive trading: Reduce length parameter (minimum 70) Decrease band multiplier for tighter bands Enable short trades Use lower profit target R:R ratios For more conservative trading: Increase length parameter Enable ZLEMA trend confirmation Use wider ATR stop-loss multipliers Enable break-even stop-loss Reduce position size from 100% default For optimal choppy market performance: Enable ZLEMA trend confirmation Increase band multiplier Use tighter profit targets Avoid re-entry on trend continuation Visual Elements The strategy plots several elements on the chart: ZLEMA line (color-coded by trend direction) Upper and lower volatility bands Long entry markers (green triangles) Short entry markers (red triangles, when enabled) Stop-loss levels (when positions are open) Take-profit levels (when enabled and positions are open) Trailing stop lines (when enabled and positions are open) Optional ZLEMA trend markers (triangles at highs/lows) Optional trade log labels showing complete trade information Exit Reason Codes (for CSV Export) When CSV export is enabled, exit reasons are coded as: 0 = Manual/Other 1 = Trailing Stop-Loss 2 = Profit Target 3 = ATR Stop-Loss 4 = Trend Change Conclusion Zero Lag Trend Signals V7 provides a robust framework for trend-following with extensive customization options. The strategy balances simplicity in its core logic with sophisticated risk management features, making it suitable for both beginner and advanced traders. By reducing moving average lag while incorporating volatility-based signals, it aims to capture trends earlier while managing risk through multiple configurable exit mechanisms. The modular design allows traders to start with basic trend-following and progressively add complexity through ZLEMA confirmation, multiple stop-loss methods, and advanced exit strategies. Comprehensive performance tracking and export capabilities make this strategy an excellent tool for systematic testing and optimization. Note: This strategy is provided for educational and backtesting purposes. All trading involves risk. Past performance does not guarantee future results. Always test thoroughly with paper trading before risking real capital, and adjust position sizing and risk parameters according to your risk tolerance and account size. ================================================================================ TAGS: ================================================================================ trend following, ZLEMA, zero lag, volatility bands, ATR stops, risk management, swing trading, momentum, trend confirmation, backtesting ================================================================================ CATEGORY: ================================================================================ Strategies ================================================================================ CHART SETUP RECOMMENDATIONS: ================================================================================ For optimal visualization when publishing: Use a clean chart with no other indicators overlaid Select a timeframe that shows multiple trade signals (4H or Daily recommended) Choose a trending asset (crypto, forex major pairs, or trending stocks work well) Show at least 6-12 months of data to demonstrate strategy across different market conditions Enable the floating stats table to display key performance metrics Ensure all indicator lines (ZLEMA, bands, stops) are clearly visible Use the default chart type (candlesticks) - avoid Heikin Ashi, Renko, etc. Make sure symbol information and timeframe are clearly visible ================================================================================ COMPLIANCE NOTES: ================================================================================ ✅ Open-source publication with complete code visibility ✅ English-only title and description ✅ Detailed explanation of methodology and calculations ✅ Realistic commission (0.1%) and slippage (3 ticks) included ✅ All default parameters clearly documented ✅ Performance limitations and risks disclosed ✅ No unrealistic claims about performance ✅ No guaranteed results promised ✅ Appropriate for public library (original trend-following implementation with ZLEMA) ✅ Educational disclaimers included ✅ All features explained in detail ================================================================================
Pine Script® strategy
by Quant_Trading_Pro
Bollinger Bands Breakout StrategyHey guys check out this strategy script. Chart plotting: I use a classic plot of Bollinger Bands to define a consolidation zone, I also use a separate Trend Filter (SMA). Logic: When the price is above the SMA and above the Bollinger Upper Band the strategy goes Long. When the price is below the SMA and below the Bollinger Lower Band the strategy goes Short. Simple. Exits: TP and SL are a percentage of the price. Notes: This simple strategy can be used at any timeframe (I prefer the 15min for day trading). It avoids consolidation, when the price is inside the Bollinger Bands, and has a good success rate. Adjust the Length of the BB to suit your style of trading (Lower numbers=more volatile, Higher numbers=more restrictive). Also you can adjust the Trend Filter SMA, I presonally chose the 50 SMA. Finally the SL/TP can be also adjusted from the input menu. Test it for yourself! Have great trades!
Pine Script® strategy
by kostastrovas
Moving Average Trend Strategy V4.1 — Revised Version (Selectable✅ **Version Notes (V4.0)** | Feature | Description | | --------------------------------------- | -------------------------------------------------------- | | 🧠 **Moving Average Type Options** | Choose from EMA / SMA / HMA / WMA | | 🧱 **Take-Profit / Stop-Loss Switches** | Can be enabled or disabled independently | | ⚙️ **Add Position Function** | Can be enabled or disabled independently | | 🔁 **Add Position Signal Source** | Selectable between MA Crossover / MACD / RCI / RSI | | 💹 **Adjustable Parameters** | All periods and percentages are customizable in settings | --- ✅ **Update Summary:** | Function | Description | | -------------------------------------- | --------------------------------------------------------------------- | | **MA Type Selection** | Choose EMA / SMA / HMA / WMA in chart settings | | **Take-Profit / Stop-Loss Percentage** | Configurable in the “Take-Profit & Stop-Loss” group | | **Add / Reduce Position Percentage** | Adjustable separately in the “Add/Reduce Position” group | | **MA Periods** | Customizable in the “Moving Average Parameters” section | | **Code Structure** | Logic unchanged — only parameterization and selection functions added | --- ### **Strategy Recommendations:** * **Trending Market:** Prefer EMA trend tracking or SAR indicators * **Range-Bound Market:** Use ATR-based volatility stop-loss * **Before Major Events:** Consider option hedging * **Algorithmic Trading:** Recommend ATR + partial take-profit combination strategy --- ### **Key Parameter Optimization Logic:** * Backtest different **ATR multipliers** (2–3× ATR) * Test **EMA periods** (10–50 periods) * Optimize **partial take-profit ratios** * Adjust **maximum drawdown tolerance** (typically 30–50% of profit) --- ### **Risk Control Tips:** * Avoid overly tight stop-losses that trigger too frequently * During strong trends, consider widening take-profit targets * Confirm trend continuation with **volume analysis** * Adjust parameters based on **timeframe** (e.g., Daily vs Hourly) --- ### **Practical Example (Forex: EUR/USD):** * **Entry:** Go long on breakout above 1.1200 * **Initial Stop-Loss:** 1.1150 (50 pips) * **When profit reaches 1.1300:** * Close 50% of position * Move stop-loss to 1.1250 (lock in 50 pips profit) * **When price rises to 1.1350:** * Move stop-loss to 1.1300 (lock in 100 pips profit) * **Final Outcome:** * Price retraces to 1.1300, triggering take-profit This method secured over **80% of trend profits** during the 2023 EUR rebound, capturing **23% more profit** compared to fixed take-profit strategies (based on backtest results).
Pine Script® strategy
by shuan789