Auf geht's

Moving Averages

Safe Supertrend Strategy (No Repaint)Overview The Safe Supertrend is a repaint-free version of the popular Supertrend trend-following indicator. Most Supertrend indicators appear perfect on historical charts because they flip intrabar and then repaint after the candle closes. This version fixes that by using close-of-bar confirmation only, making every trend flip 100% stable, safe, and non-repainting. Why This Supertrend Doesn’t Repaint Most Supertrend indicators calculate their trend direction using the current bar’s data. But during a live candle: ATR expands and contracts The upper/lower bands move Price moves above/below the band temporarily A false flip appears → then disappears when the candle closes That is classic repainting. This indicator avoids all of that by using: close > upper close < lower This means: Trend direction flips only based on the previous candle, No intrabar calculations, No flickering signals, No “perfect but fake” historical performance. Every signal you see on the chart is exactly what was available in real-time. How It Works Calculates ATR (Average True Range) and SMA centerline Builds upper and lower volatility bands Confirms trend flips only after the previous bar closes Plots clear bull and bear reversal signals Works on all markets (crypto, stocks, forex, indices) No repainting, no recalc, no misleading flips. Bullish Signal (Trend Up) A bullish trend begins only when: The previous candle closes above the upper ATR band, And this flip is fully confirmed. A green triangle marks the start of a new uptrend. Bearish Signal (Trend Down) A bearish trend begins only when: The previous candle closes below the lower ATR band, And the downtrend is confirmed. A red triangle signals the start of a new downtrend. Inputs ATR Length - default 10 ATR Multiplier - default 3.0 Works on all timeframes and market Simple, but powerful. Why Use This Version Instead of a Regular Supertrend? Most Supertrends: Look great historically But repaint continuously on live charts Give false trend flips intrabar Cannot be reliably used in strategies This version: Uses strict previous-bar logic Never repaints trend direction Works perfectly in live trading Backtests accurately Is ideal for algorithmic strategies Ideal For: Trend-following strategies Breakout trading Algo trading systems Reversal detection Filtering market noise Swing trading & scalping Final Note This is a safer, more reliable Supertrend designed for real-world use — not perfect-looking repaint illusions. If you use Supertrend in your trading system, this no-repaint version ensures your signals are trustworthy and consistent.
Pine Script® Strategie
von AIScripts
Safe Supertrend Strategy (No Repaint)Overview The Safe Supertrend is a repaint-free version of the popular Supertrend trend-following indicator. Most Supertrend indicators appear perfect on historical charts because they flip intrabar and then repaint after the candle closes. This version fixes that by using close-of-bar confirmation only, making every trend flip 100% stable, safe, and non-repainting. Why This Supertrend Doesn’t Repaint Most Supertrend indicators calculate their trend direction using the current bar’s data. But during a live candle: ATR expands and contracts The upper/lower bands move Price moves above/below the band temporarily A false flip appears → then disappears when the candle closes That is classic repainting. This indicator avoids all of that by using: close > upper close < lower This means: Trend direction flips only based on the previous candle, No intrabar calculations, No flickering signals, No “perfect but fake” historical performance. Every signal you see on the chart is exactly what was available in real-time. How It Works Calculates ATR (Average True Range) and SMA centerline Builds upper and lower volatility bands Confirms trend flips only after the previous bar closes Plots clear bull and bear reversal signals Works on all markets (crypto, stocks, forex, indices) No repainting, no recalc, no misleading flips. Bullish Signal (Trend Up) A bullish trend begins only when: The previous candle closes above the upper ATR band, And this flip is fully confirmed. A green triangle marks the start of a new uptrend. Bearish Signal (Trend Down) A bearish trend begins only when: The previous candle closes below the lower ATR band, And the downtrend is confirmed. A red triangle signals the start of a new downtrend. Inputs ATR Length - default 10 ATR Multiplier - default 3.0 Works on all timeframes and market Simple, but powerful. Why Use This Version Instead of a Regular Supertrend? Most Supertrends: Look great historically But repaint continuously on live charts Give false trend flips intrabar Cannot be reliably used in strategies This version: Uses strict previous-bar logic Never repaints trend direction Works perfectly in live trading Backtests accurately Is ideal for algorithmic strategies Ideal For: Trend-following strategies Breakout trading Algo trading systems Reversal detection Filtering market noise Swing trading & scalping Final Note This is a safer, more reliable Supertrend designed for real-world use — not perfect-looking repaint illusions. If you use Supertrend in your trading system, this no-repaint version ensures your signals are trustworthy and consistent.
Pine Script® Strategie
von AIScripts
Paulinho Signals – Cripto 5m/15m com Filtro de LateralidadeThis script is an automated Pine Script v6 strategy designed for short-term cryptocurrency trading, especially on 5-minute and 15-minute timeframes. It combines moving average crossovers, trend strength (ADX), volatility (ATR), and candlestick patterns to generate buy and sell signals with a fixed risk/reward management system. How to Use: - Apply to cryptocurrency charts on 5m or 15m timeframes. - Adjust parameters to fit your preferences (EMA, RSI, ADX, ATR). - Use for backtesting or as a decision-support tool. Disclaimer: This script is for educational purposes only and does not constitute financial advice. Always test on demo accounts before applying to live trading.
Pine Script® Strategie
von Pqpaulao
Vital Wave 20-50Simplicity is almost always the most effective approach, and here I’m giving you a trend-following system that exploits the bullish bias of traditional markets and their trending nature, with very basic rules. Rules (long entries only) • Market entry: When the EMA 20 crosses above the EMA 50 (from below) • Main market exit: When the EMA 20 crosses below the EMA 50 (from above) • Fixed Stop Loss: Placed at the price level of the Lower Bollinger Band at the moment the trade is entered. In my strategy, the primary exit is when the EMA 20 crosses below the EMA 50. However, this crossover can sometimes take a while to occur, and in the meantime the price may have already dropped significantly. The Stop Loss based on the Lower Bollinger Band is designed to limit losses in case the market moves sharply against the position without giving the bearish crossover signal in time. Having two exit conditions makes the strategy much more robust in terms of risk management. Risk Management: • Initial capital: $10,000 • Position size: 10% of available capital per trade • Commissions: 0.1% on traded volume • Stop Loss: Based on the Lower Bollinger Band • Take Profit / Exit: When EMA 20 crosses below EMA 50 Recommended Markets: XAUUSD (OANDA) (Daily) Period: January 3, 1833 – November 23, 2025 Total Profit & Loss: +$6,030.62 USD (+57.57%) Maximum Drawdown: $541.53 USD (3.83%) Total Trades: 136 Winning Trades (Win Rate): 36.03% (49/136) Profit Factor: 2.483 XAUUSD (OANDA) (12-hour) Period: March 19, 2006 – November 23, 2025 Total Profit & Loss: +$1,209.56 USD (+11.89%) Maximum Drawdown: $384.58 USD (3.61%) Total Trades: 97 Winning Trades (Win Rate): 35.05% (34/97) Profit Factor: 1.676 XAUUSD (OANDA) (8-hour) Period: March 19, 2006 – November 23, 2025 Total Profit & Loss: +$1,179.36 USD (+11.81%) Maximum Drawdown: $246.88 USD (2.32%) Total Trades: 147 Winning Trades (Win Rate): 31.97% (47/147) Profit Factor: 1.626 Tesla (NASDAQ) (4-hour) Period: June 29, 2010 – November 23, 2025 Total Profit & Loss (Absolute): +$11,687.90 USD (+116.88%) Maximum Drawdown: $922.05 USD (6.50%) Total Trades: 68 Winning Trades (Win Rate): 39.71% (27/68) Profit Factor: 4.156 Tesla (NASDAQ) (3-hour) Total Profit & Loss: +$11,522.33 USD (+115.22%) Maximum Drawdown: $1,247.60 USD (8.80%) Total Trades: 114 Winning Trades: 33.33% (38/114) Profit Factor: 2.811 Additional Recommendations (These assets have shown good trending behavior with the same strategy across multiple timeframes): • NVDA (15 min, 30 min, 1h, 2h, 3h, 4h, 6h, 8h, 12h, Daily) • NFLX (1h, 2h, 3h, 4h, 6h, 8h, 12h, Daily) • MA (1h, 2h, 3h, 4h, 6h, 8h, 12h, Daily) • META (1h, 2h, 3h, 4h, 6h, 8h, 12h, Daily) • AAPL (1h, 2h, 3h, 4h, 6h, 8h, 12h, Daily) • SPY (12h, Daily) About the Code The user can modify: • EMA periods (20 and 50 by default) • Bollinger Bands length (20 periods) • Standard deviation (2.0) Visualization • EMA 20: Blue line • EMA 50: Red line • Green background when EMA20 > EMA50 (bullish trend) • Red background when EMA20 < EMA50 (bearish trend) Important Note: We can significantly increase the profit factor and overall profitability by risking a fixed percentage per trade instead of a fixed amount. This would prevent losses from fluctuating with changes in volatility. This could be implemented by reducing position size or adjusting leverage based on the volatility percentage required for each trade, but I’m not sure if this is fully possible in Pine Script. In my other script, “ Golden Cross 50/200 EMA ,” I go deeper into this topic and provide examples. I hope you enjoy this contribution. Best regards!
Pine Script® Strategie
von Especulador96
2
ParabolicSAR+EMA[TS_Indie]🚀 EMA + Parabolic SAR Reversal Trading Strategy This trading system effectively combines the use of Exponential Moving Averages (EMA) with the Parabolic SAR to identify both price trends and key reversal points. The EMA Fast is used to signal the primary short-term trend, while the EMA Slow acts as a filter for the long-term trend direction. The Parabolic SAR then helps to confirm the reversal signals. 🛠️ Tools Used 1. EMA Fast – Primary Short-Term Trend 2. EMA Slow – Long-Term Trend Filter 3. Parabolic SAR – Reversal Confirmation 🎯 Entry Rules 📈 Buy Setup 1. Trend Filter: EMA Fast > EMA Slow → Uptrend 2. Pullback: Price pulls back and closes below the EMA Fast line. 3. Reversal: Price reverses/pulls back up and closes above the EMA Fast line. 4. SAR Confirmation: The previous Parabolic SAR dot is above the high, and the dot in the current candle is below the low → Reversal signal confirmed. 5. Entry: Enter Buy immediately. 📉 Sell Setup 1. Trend Filter: EMA Fast < EMA Slow → Downtrend 2. Pullback: Price pulls back and closes above the EMA Fast line. 3. Reversal: Price reverses/pulls back down and closes below the EMA Fast line. 4. SAR Confirmation: The previous Parabolic SAR dot is below the low, and the dot in the current candle is above the high → Reversal signal confirmed. 5. Entry: Enter Sell immediately. 💰 Exit Management (Entry, Stop Loss, Take Profit) 1. Entry: Enter the order at the closing price of the signal candle. 2. Stop Loss (SL): Set the Stop Loss at the Parabolic SAR dot. 3. Take Profit (TP): Calculated from the Entry and Stop Loss points, multiplied by the Risk Reward Ratio. ⚙️ Optional Parameters ➭ Custom Risk/Reward Ratio for Take Profit. ➭ Option to add an ATR buffer to the Stop Loss. ➭ Adjustable EMA Fast period. ➭ Adjustable EMA Slow period. ➭ Adjustable Parabolic SAR parameters. ➭ Option to enable Long-only / Short-only positions. ➭ Customizable Backtest start and end date. ➭ Customizable trading session time. 🔔 Alert Function Alerts display: ➭ Entry Price ➭ Stop Loss Price ➭ Take Profit Price 💡 This strategy allows for many parameter adjustments, such as the MA type, adding/subtracting from the Stop Loss using ATR, and selecting specific sessions for backtesting. If you find interesting or profitable results after adjusting the parameters, please share your comments with other traders! ⚠️ Disclaimer This indicator is designed for educational and research purposes only. It does not guarantee profits and should not be considered financial advice. Trading in financial markets involves significant risk , including the potential loss of capital.
Pine Script® Strategie
von Truth_Strategy_Indie
EMA 50/200 Pullback + RSI (BTC/USDT 15m - 2 Bar Logic)I recognize that combining indicators requires clear justification on how the components interact Therefore the new scripts description will explicitly detail the strategys operational logic Objective The strategy is a Trend Following Pullback System designed for high frequency time frames 15m Synergy The EMA50 EMA200 defines the primary Trend Direction Trend Filter It then utilizes a 2 Bar Pullback Logic to find an entry point where the price has momentarily reversed against the trendline and the RSI 14 serves as a Momentum Filter RSI greater than 50 for Long RSI less than 50 for Short to minimize false signals
Pine Script® Strategie
von nookloves26
EMA Cross Strategy v5 (30 lots) (15 min candle only)- safe flip🚀 EMA Cross Strategy v5 (30 Lots) (15 min candle only)— Safe Flip Edition Fully Automated | Fast | Reliable | Battle-tested Welcome to a clean, powerful, and automation-friendly EMA crossover system. This strategy is built for traders who want consistent trend-based entries without the risk of unwanted pyramiding or doubled positions. 🔥 How It Works This strategy uses a fast EMA (10) crossing a slow EMA (20) to detect trend shifts: Bullish Crossover → LONG (30 lots) Bearish Crossover → SHORT (30 lots) Every opposite signal safely flips the position by first closing the current trade, then opening a fresh position of exactly 30 lots. No doubling. No runaway position size. No surprises. Just clean, mechanical trend-following. 📈 Why This Strategy Stands Out Unlike basic EMA crossbots, this version: ✔ Prevents unintended pyramiding ✔ Never over-allocates capital ✔ Works perfectly with webhook-based automation ✔ Produces stable, systematic entries ✔ Executes directional flips with precision 🔍 Backtest Highlights (1-Year) (Backtests will vary by instrument/timeframe) 1,500+ trades executed Profit factor above 1.27 Strong trend performance Balanced long/short behavior No margin calls Consistent trade execution This strategy thrives in trending markets and maintains strict discipline even in choppy conditions. ⚙️ Automation Ready Designed for automated execution via webhook and API setups on supported platforms. Just connect, run, and let the bot follow the rules without hesitation. No emotions. No overtrading. No fear or greed. Pure logic.
Pine Script® Strategie
von kulkarniabhishek38
1
Golden Cross 50/200 EMATrend-following systems are characterized by having a low win rate, yet in the right circumstances (trending markets and higher timeframes) they can deliver returns that even surpass those of systems with a high win rate. Below, I show you a simple bullish trend-following system with clear execution rules: System Rules -Long entries when the 50-period EMA crosses above the 200-period EMA. -Stop Loss (SL) placed at the lowest low of the 15 candles prior to the entry candle. -Take Profit (TP) triggered when the 50-period EMA crosses below the 200-period EMA. Risk Management -Initial capital: $10,000 -Position size: 10% of capital per trade -Commissions: 0.1% per trade Important Note: In the code, the stop loss is defined using the swing low (15 candles), but the position size is not adjusted based on the distance to the stop loss. In other words, 10% of the equity is risked on each trade, but the actual loss on the trade is not controlled by a maximum fixed percentage of the account — it depends entirely on the stop loss level. This means the loss on a single trade could be significantly higher or lower than 10% of the account equity, depending on volatility. Implementing leverage or reducing position size based on volatility is something I haven’t been able to include in the code, but it would dramatically improve the system’s performance. It would fix a consistent percentage loss per trade, preventing losses from fluctuating wildly with changes in volatility. For example, we can maintain a fixed loss percentage when volatility is low by using the following formula: Leverage = % of SL you’re willing to risk / % volatility from entry point to stop loss And when volatility is high and would exceed the fixed percentage we want to expose per trade (if the SL is hit), we could reduce the position size accordingly. Practical example: Imagine we only want to risk 15% of the position value if the stop loss is triggered on Tesla (which has high volatility), but the distance to the SL represents a potential 23.57% drop. In this case, we subtract the desired risk (15%) from the actual volatility-based loss (23.57%): 23.57% − 15% = 8.57% Now suppose we normally use $200 per trade. To calculate 8.57% of $200: 200 × (8.57 / 100) = $17.14 Then subtract that amount from the original position size: $200 − $17.14 = $182.86 In summary: If we reduce the position size to $182.86 (instead of the usual $200), even if Tesla moves 23.57% against us and hits the stop loss, we would still only lose approximately 15% of the original $200 position — exactly the risk level we defined. This way, we strictly respect our risk management rules regardless of volatility swings. I hope this clearly explains the importance of capping losses at a fixed percentage per trade. This keeps risk under control while maintaining a consistent percentage of capital invested per trade — preventing both statistical distortion of the system and the potential destruction of the account. About the code: Strategy declaration: The strategy is named 'Golden Cross 50/200 EMA'. overlay=true means it will be drawn directly on the price chart. initial_capital=10000 sets the initial capital to $10,000. default_qty_type=strategy.percent_of_equity and default_qty_value=10 means each trade uses 10% of available equity. margin_long=0 indicates no margin is used for long positions (this is likely for simulation purposes only; in real trading, margin would be required). commission_type=strategy.commission.percent and commission_value=0.1 sets a 0.1% commission per trade. Indicators: Calculates two EMAs: a 50-period EMA (ema50) and a 200-period EMA (ema200). Crossover detection: bullCross is triggered when the 50-period EMA crosses above the 200-period EMA (Golden Cross). bearCross is triggered when the 50-period EMA crosses below the 200-period EMA (Death Cross). Recent swing: swingLow calculates the lowest low of the previous 15 periods. Stop Loss: entryStopLoss is a variable initialized as na (not available) and is updated to the current swingLow value whenever a bullCross occurs. Entry and exit conditions: Entry: When a bullCross occurs, the initial stop loss is set to the current swingLow and a long position is opened. Exit on opposite signal: When a bearCross occurs, the long position is closed. Exit on stop loss: If the price falls below entryStopLoss while a position is open, the position is closed. Visualization: Both EMAs are plotted (50-period in blue, 200-period in red). Green triangles are plotted below the bar on a bullCross, and red triangles above the bar on a bearCross. A horizontal orange line is drawn that shows the stop loss level whenever a position is open. Alerts: Alerts are created for:Long entry Exit on bearish crossover (Death Cross) Exit triggered by stop loss Favorable Conditions: Tesla (45-minute timeframe) June 29, 2010 – November 17, 2025 Total net profit: $12,458.73 or +124.59% Maximum drawdown: $1,210.40 or 8.29% Total trades: 107 Winning trades: 27.10% (29/107) Profit factor: 3.141 Tesla (1-hour timeframe) June 29, 2010 – November 17, 2025 Total net profit: $7,681.83 or +76.82% Maximum drawdown: $993.36 or 7.30% Total trades: 75 Winning trades: 29.33% (22/75) Profit factor: 3.157 Netflix (45-minute timeframe) May 23, 2002 – November 17, 2025 Total net profit: $11,380.73 or +113.81% Maximum drawdown: $699.45 or 5.98% Total trades: 134 Winning trades: 36.57% (49/134) Profit factor: 2.885 Netflix (1-hour timeframe) May 23, 2002 – November 17, 2025 Total net profit: $11,689.05 or +116.89% Maximum drawdown: $844.55 or 7.24% Total trades: 107 Winning trades: 37.38% (40/107) Profit factor: 2.915 Netflix (2-hour timeframe) May 23, 2002 – November 17, 2025 Total net profit: $12,807.71 or +128.10% Maximum drawdown: $866.52 or 6.03% Total trades: 56 Winning trades: 41.07% (23/56) Profit factor: 3.891 Meta (45-minute timeframe) May 18, 2012 – November 17, 2025 Total net profit: $2,370.02 or +23.70% Maximum drawdown: $365.27 or 3.50% Total trades: 83 Winning trades: 31.33% (26/83) Profit factor: 2.419 Apple (45-minute timeframe) January 3, 2000 – November 17, 2025 Total net profit: $8,232.55 or +80.59% Maximum drawdown: $581.11 or 3.16% Total trades: 140 Winning trades: 34.29% (48/140) Profit factor: 3.009 Apple (1-hour timeframe) January 3, 2000 – November 17, 2025 Total net profit: $9,685.89 or +94.93% Maximum drawdown: $374.69 or 2.26% Total trades: 118 Winning trades: 35.59% (42/118) Profit factor: 3.463 Apple (2-hour timeframe) January 3, 2000 – November 17, 2025 Total net profit: $8,001.28 or +77.99% Maximum drawdown: $755.84 or 7.56% Total trades: 67 Winning trades: 41.79% (28/67) Profit factor: 3.825 NVDA (15-minute timeframe) January 3, 2000 – November 17, 2025 Total net profit: $11,828.56 or +118.29% Maximum drawdown: $1,275.43 or 8.06% Total trades: 466 Winning trades: 28.11% (131/466) Profit factor: 2.033 NVDA (30-minute timeframe) January 3, 2000 – November 17, 2025 Total net profit: $12,203.21 or +122.03% Maximum drawdown: $1,661.86 or 10.35% Total trades: 245 Winning trades: 28.98% (71/245) Profit factor: 2.291 NVDA (45-minute timeframe) January 3, 2000 – November 17, 2025 Total net profit: $16,793.48 or +167.93% Maximum drawdown: $1,458.81 or 8.40% Total trades: 172 Winning trades: 33.14% (57/172) Profit factor: 2.927
Pine Script® Strategie
von Especulador96
6
ATR Trend + RSI Pullback Strategy [Profit-Focused]This strategy is designed to catch high-probability pullbacks during strong trends using a combination of ATR-based volatility filters, RSI exhaustion levels, and a trend-following entry model. Strategy Logic Rather than relying on lagging crossovers, this model waits for RSI to dip into oversold zones (below 40) while price remains above a long-term EMA (default: 200). This setup captures pullbacks in strong uptrends, allowing traders to enter early in a move while controlling risk dynamically. To avoid entries during low-volatility conditions or sideways price action, it applies a minimum ATR filter. The ATR also defines both the stop-loss and take-profit levels, allowing the model to adapt to changing market conditions. Exit logic includes: A take-profit at 3× the ATR distance A stop-loss at 1.5× the ATR distance An optional early exit if RSI crosses above 70, signaling overbought conditions Technical Details Trend Filter: 200 EMA – must be rising and price must be above it Entry Signal: RSI dips below 40 during an uptrend Volatility Filter: ATR must be above a user-defined minimum threshold Stop-Loss: 1.5× ATR below entry price Take-Profit: 3.0× ATR above entry price Exit on Overbought: RSI > 70 (optional early exit) Backtest Settings Initial Capital: $10,000 Position Sizing: 5% of equity per trade Slippage: 1 tick Commission: 0.075% per trade Trade Direction: Long only Timeframes Tested: 15m, 1H, and 30m on trending assets like BTCUSD, NAS100, ETHUSD This model is tuned for positive P&L across trending environments and volatile markets. Educational Use Only This strategy is for educational purposes only and should not be considered financial advice. Past performance does not guarantee future results. Always validate performance on multiple markets and timeframes before using it in live trading.
Pine Script® Strategie
von AIScripts
2
BTC EMA 5-9 Flip Strategy AutobotThis strategy is designed for fast and accurate trend-following trades on Bitcoin. It uses a crossover between EMA 5 and EMA 9 to detect instant trend reversals and automatically flips between Long and Short positions. How the strategy works EMA 5 crossing above EMA 9 → Long EMA 5 crossing below EMA 9 → Short Automatically closes the opposite trade during a flip Executes trades only on candle close Prevents double entries with internal position-state logic Fully compatible with automated trading via webhooks (Delta Exchange) Why this strategy works EMA 5–9 is extremely responsive for BTC’s volatility Captures trend reversals early Works best on 15-minute timeframe Clean, simple logic without over-filtering reduces missed opportunities Performs well in both uptrends and downtrends Automation Ready This strategy includes alert conditions and webhook-ready JSON for automated execution. This is a fast-reacting BTC bot designed for intraday and swing crypto trend trading.
Pine Script® Strategie
von kulkarniabhishek38
2
Moving Average Band StrategyOverview The Moving Average Band Strategy is a fully customizable breakout and trend-continuation system designed for traders who need both simplicity and control. The strategy creates adaptive bands around a user-selected moving average and executes trades when price breaks out of these bands, with advanced risk-management settings including optional Risk:Reward targets. This script is suitable for intraday, swing, and positional traders across all markets — equities, futures, crypto, and forex. Key Features ✔ Six Moving Average Types Choose the MA that best matches your trading style: SMA EMA WMA HMA VWMA RMA ✔ Dynamic Bands Upper Band built from MA of highs Lower Band built from MA of lows Adjustable band offset (%) Color-coded band fill indicating price position ✔ Configurable Strategy Preferences Toggle Long and/or Short trades Toggle Risk:Reward Take-Profit Adjustable Risk:Reward Ratio Default position sizing: % of equity (configurable via strategy settings) Entry Conditions Long Entry A long trade triggers when: Price crosses above the Upper Band Long trades are enabled No existing long position is active Short Entry A short trade triggers when: Price crosses below the Lower Band Short trades are enabled No existing short position is active Clear entry markers and price labels appear on the chart. Risk Management This strategy includes a complete set of risk-controls: Stop-Loss (Fixed at Entry) Long SL: Lower Band Short SL: Upper Band These levels remain constant for the entire trade. Optional Risk:Reward Take-Profit Enabled/disabled using a toggle switch. When enabled: Long TP = Entry + (Risk × Risk:Reward Ratio) Short TP = Entry – (Risk × Risk:Reward Ratio) When disabled: Exits are handled by reverse crossover signals. Exit Conditions Long Exit Stop-Loss Hit (touch-based) Take-Profit Hit (if enabled) Reverse Band Crossover (if TP disabled) Short Exit Stop-Loss Hit (touch-based) Take-Profit Hit (if enabled) Reverse Band Crossover (if TP disabled) Exit markers and price labels are plotted automatically. Visual Tools To improve clarity: Upper & Lower Band (blue, adjustable width) Middle Line Dynamic band fill (green/red/yellow) SL & TP line plotting when in position Entry/Exit markers Price labels for all executed trades These are built to help users visually follow the strategy logic. Alerts Included Every trading event is covered: Long Entry Short Entry Long SL / TP / Cross Exit Short SL / TP / Cross Exit Combined Alert for webhook/automation (JSON-formatted) Perfect for algo trading, Discord bots, or automation platforms. Best For This strategy performs best in: Trending markets Breakout environments High-momentum instruments Clean intraday swings Works seamlessly on: Stocks Index futures Commodities Crypto Forex ⚠️ Important Disclaimer This script is for educational purposes only. Trading involves risk. Backtest results are not indicative of future performance. Always validate settings and use proper position sizing.
Pine Script® Strategie
von ravi_matrix
7
Qullamagi EMA Breakout Autotrade (Crypto Futures L+S)Title: Qullamagi EMA Breakout – Crypto Autotrade Overview A crypto-focused, Qullamagi-style EMA breakout strategy built for autotrading on futures and perpetual swaps. It combines a 5-MA trend stack (EMA 10/20, SMA 50/100/200), volatility contraction boxes, volume spikes and an optional higher-timeframe 200-MA filter. The script supports both long and short trades, partial take profit, trailing MA exits and percent-of-equity position sizing for automated crypto futures trading. Key Features (Crypto) Qullamagi MA Breakout Engine – trades only when price is aligned with a strong EMA/SMA trend and breaks out of a tight consolidation range. Longs use: Close > EMA10 > EMA20 > SMA50 > SMA100 > SMA200. Shorts are the mirror condition with all MAs sloping in the trend direction. Strict vs Loose Modes – Strict (Daily) is designed for cleaner swing trades on 1H–4H (full MA stack, box+ATR and volume filters, optional HTF filter). Loose (Intraday) focuses on 10/20/50 alignment with relaxed filters for more frequent 15m–30m signals. Volatility & Volume Filters for Crypto – ATR-based box height limit to detect volatility contraction, wide-candle filter to avoid chasing exhausted breakouts, and a volume spike condition requiring current volume to exceed an SMA of volume. Higher-Timeframe Trend Filter (Optional) – uses a 200-period SMA on a higher timeframe (default: 1D). Longs only when HTF close is above the HTF 200-SMA, shorts only when it is below, helping avoid trading against dominant crypto trends. Autotrade-Oriented Trade Management – position size as % of equity, initial stop anchored to a chosen MA (EMA10 / EMA20 / SMA50) with optional buffer, partial take profit at a configurable R-multiple, trailing MA exit for the remainder, and an optional cooldown after a full exit. Markets & Timeframes Best suited for BTC, ETH and major altcoin futures/perpetuals (Binance, Bybit, OKX, etc.). Strict preset: 1H–4H charts for classic Qullamagi-style trend structure and fewer fake breakouts. Loose preset: 15m–30m charts for higher trade frequency and more active intraday trading. Always retune ATR length, box length, volume multiplier and position size for each symbol and exchange. Strategy Logic (Quick Summary) Long (Strict): MA stack in bullish alignment with all MAs sloping up → tight volatility box (ATR-based) → volume spike above SMA(volume) × multiplier → breakout above box high (close or intrabar) → optional HTF close above 200-SMA. Short: Mirror logic: bearish MA stack, tight box, volume spike and breakdown below box low with optional HTF downtrend. Best Practices for Crypto Backtest on each symbol and timeframe you plan to autotrade, including commissions and slippage. Start on higher timeframes (1H/4H) to learn the behavior, then move to 15m–30m if you want more signals. Use the higher-timeframe filter when markets are strongly trending to reduce counter-trend trades. Keep position-size percentage conservative until you fully understand the drawdowns. Forward-test / paper trade before connecting to live futures accounts. Webhook / Autotrade Integration Designed to work with TradingView webhooks and external crypto trading bots. Alert messages include structured fields such as: EVENT=ENTRY / SCALE_OUT / EXIT, SIDE=LONG / SHORT, STRATEGY=Qullamagi_MA. Map each EVENT + SIDE combination to your bot logic (open long/short, partial close, full close, etc.) on your preferred exchange. Important Notes & Disclaimer Crypto markets are highly volatile and can change regime quickly. Backtest and forward-test thoroughly before using real capital. Higher timeframes generally produce cleaner MA structures and fewer fake breakouts. This strategy is for educational and informational purposes only and does not constitute financial advice. Trading leveraged crypto products involves substantial risk of loss. Always do your own research, manage risk carefully, and never trade with money you cannot afford to lose.
Pine Script® Strategie
von asefzxizexvsadf
Range Oscillator Strategy + Stoch Confirm🔹 Short summary This is a free, educational long-only strategy built on top of the public “Range Oscillator” by Zeiierman (used under CC BY-NC-SA 4.0), combined with a Stochastic timing filter, an EMA-based exit filter and an optional risk-management layer (SL/TP and R-multiple exits). It is NOT financial advice and it is NOT a magic money machine. It’s a structured framework to study how range-expansion + momentum + trend slope can be combined into one rule-based system, often with intentionally RARE trades. ──────────────────────── 0. Legal / risk disclaimer ──────────────────────── • This script is FREE and public. I do not charge any fee for it. • It is for EDUCATIONAL PURPOSES ONLY. • It is NOT financial advice and does NOT guarantee profits. • Backtest results can be very different from live results. • Markets change over time; past performance is NOT indicative of future performance. • You are fully responsible for your own trades and risk. Please DO NOT use this script with money you cannot afford to lose. Always start in a demo / paper trading environment and make sure you understand what the logic does before you risk any capital. ──────────────────────── 1. About default settings and risk (very important) ──────────────────────── The script is configured with the following defaults in the `strategy()` declaration: • `initial_capital = 10000` → This is only an EXAMPLE account size. • `default_qty_type = strategy.percent_of_equity` • `default_qty_value = 100` → This means 100% of equity per trade in the default properties. → This is AGGRESSIVE and should be treated as a STRESS TEST of the logic, not as a realistic way to trade. TradingView’s House Rules recommend risking only a small part of equity per trade (often 1–2%, max 5–10% in most cases). To align with these recommendations and to get more realistic backtest results, I STRONGLY RECOMMEND you to: 1. Open **Strategy Settings → Properties**. 2. Set: • Order size: **Percent of equity** • Order size (percent): e.g. **1–2%** per trade 3. Make sure **commission** and **slippage** match your own broker conditions. • By default this script uses `commission_value = 0.1` (0.1%) and `slippage = 3`, which are reasonable example values for many crypto markets. If you choose to run the strategy with 100% of equity per trade, please treat it ONLY as a stress-test of the logic. It is NOT a sustainable risk model for live trading. ──────────────────────── 2. What this strategy tries to do (conceptual overview) ──────────────────────── This is a LONG-ONLY strategy designed to explore the combination of: 1. **Range Oscillator (Zeiierman-based)** - Measures how far price has moved away from an adaptive mean. - Uses an ATR-based range to normalize deviation. - High positive oscillator values indicate strong price expansion away from the mean in a bullish direction. 2. **Stochastic as a timing filter** - A classic Stochastic (%K and %D) is used. - The logic requires %K to be below a user-defined level and then crossing above %D. - This is intended to catch moments when momentum turns up again, rather than chasing every extreme. 3. **EMA Exit Filter (trend slope)** - An EMA with configurable length (default 70) is calculated. - The slope of the EMA is monitored: when the slope turns negative while in a long position, and the filter is enabled, it triggers an exit condition. - This acts as a trend-protection exit: if the medium-term trend starts to weaken, the strategy exits even if the oscillator has not yet fully reverted. 4. **Optional risk-management layer** - Percentage-based Stop Loss and Take Profit (SL/TP). - Risk/Reward (R-multiple) exit based on the distance from entry to SL. - Implemented as OCO orders that work *on top* of the logical exits. The goal is not to create a “holy grail” system but to serve as a transparent, configurable framework for studying how these concepts behave together on different markets and timeframes. ──────────────────────── 3. Components and how they work together ──────────────────────── (1) Range Oscillator (based on “Range Oscillator (Zeiierman)”) • The script computes a weighted mean price and then measures how far price deviates from that mean. • Deviation is normalized by an ATR-based range and expressed as an oscillator. • When the oscillator is above the **entry threshold** (default 100), it signals a strong move away from the mean in the bullish direction. • When it later drops below the **exit threshold** (default 30), it can trigger an exit (if enabled). (2) Stochastic confirmation • Classic Stochastic (%K and %D) is calculated. • An entry requires: - %K to be below a user-defined “Cross Level”, and - then %K to cross above %D. • This is a momentum confirmation: the strategy tries to enter when momentum turns up from a pullback rather than at any random point. (3) EMA Exit Filter • The EMA length is configurable via `emaLength` (default 70). • The script monitors the EMA slope: it computes the relative change between the current EMA and the previous EMA. • If the slope turns negative while the strategy holds a long position and the filter is enabled, it triggers an exit condition. • This is meant to help protect profits or cut losses when the medium-term trend starts to roll over, even if the oscillator conditions are not (yet) signalling exit. (4) Risk management (optional) • Stop Loss (SL) and Take Profit (TP): - Defined as percentages relative to average entry price. - Both are disabled by default, but you can enable them in the Inputs. • Risk/Reward Exit: - Uses the distance from entry to SL to project a profit target at a configurable R-multiple. - Also optional and disabled by default. These exits are implemented as `strategy.exit()` OCO orders and can close trades independently of oscillator/EMA conditions if hit first. ──────────────────────── 4. Entry & Exit logic (high level) ──────────────────────── A) Time filter • You can choose a **Start Year** in the Inputs. • Only candles between the selected start date and 31 Dec 2069 are used for backtesting (`timeCondition`). • This prevents accidental use of tiny cherry-picked windows and makes tests more honest. B) Entry condition (long-only) A long entry is allowed when ALL the following are true: 1. `timeCondition` is true (inside the backtest window). 2. If `useOscEntry` is true: - Range Oscillator value must be above `entryLevel`. 3. If `useStochEntry` is true: - Stochastic condition (`stochCondition`) must be true: - %K < `crossLevel`, then %K crosses above %D. If these filters agree, the strategy calls `strategy.entry("Long", strategy.long)`. C) Exit condition (logical exits) A position can be closed when: 1. `timeCondition` is true AND a long position is open, AND 2. At least one of the following is true: - If `useOscExit` is true: Oscillator is below `exitLevel`. - If `useMagicExit` (EMA Exit Filter) is true: EMA slope is negative (`isDown = true`). In that case, `strategy.close("Long")` is called. D) Risk-management exits While a position is open: • If SL or TP is enabled: - `strategy.exit("Long Risk", ...)` places an OCO stop/limit order based on the SL/TP percentages. • If Risk/Reward exit is enabled: - `strategy.exit("RR Exit", ...)` places an OCO order using a projected R-multiple (`rrMult`) of the SL distance. These risk-based exits can trigger before the logical oscillator/EMA exits if price hits those levels. ──────────────────────── 5. Recommended backtest configuration (to avoid misleading results) ──────────────────────── To align with TradingView House Rules and avoid misleading backtests: 1. **Initial capital** - 10 000 (or any value you personally want to work with). 2. **Order size** - Type: **Percent of equity** - Size: **1–2%** per trade is a reasonable starting point. - Avoid risking more than 5–10% per trade if you want results that could be sustainable in practice. 3. **Commission & slippage** - Commission: around 0.1% if that matches your broker. - Slippage: a few ticks (e.g. 3) to account for real fills. 4. **Timeframe & markets** - Volatile symbols (e.g. crypto like BTCUSDT, or major indices). - Timeframes: 1H / 4H / **1D (Daily)** are typical starting points. - I strongly recommend trying the strategy on **different timeframes**, for example 1D, to see how the behaviour changes between intraday and higher timeframes. 5. **No “caution warning”** - Make sure your chosen symbol + timeframe + settings do not trigger TradingView’s caution messages. - If you see warnings (e.g. “too few trades”), adjust timeframe/symbol or the backtest period. ──────────────────────── 5a. About low trade count and rare signals ──────────────────────── This strategy is intentionally designed to trade RARELY: • It is **long-only**. • It uses strict filters (Range Oscillator threshold + Stochastic confirmation + optional EMA Exit Filter). • On higher timeframes (especially **1D / Daily**) this can result in a **low total number of trades**, sometimes WELL BELOW 100 trades over the whole backtest. TradingView’s House Rules mention 100+ trades as a guideline for more robust statistics. In this specific case: • The **low trade count is a conscious design choice**, not an attempt to cherry-pick a tiny, ultra-profitable window. • The goal is to study a **small number of high-conviction long entries** on higher timeframes, not to generate frequent intraday signals. • Because of the low trade count, results should NOT be interpreted as statistically strong or “proven” – they are only one sample of how this logic would have behaved on past data. Please keep this in mind when you look at the equity curve and performance metrics. A beautiful curve with only a handful of trades is still just a small sample. ──────────────────────── 6. How to use this strategy (step-by-step) ──────────────────────── 1. Add the script to your chart. 2. Open the **Inputs** tab: - Set the backtest start year. - Decide whether to use Oscillator-based entry/exit, Stochastic confirmation, and EMA Exit Filter. - Optionally enable SL, TP, and Risk/Reward exits. 3. Open the **Properties** tab: - Set a realistic account size if you want. - Set order size to a realistic % of equity (e.g. 1–2%). - Confirm that commission and slippage are realistic for your broker. 4. Run the backtest: - Look at Net Profit, Max Drawdown, number of trades, and equity curve. - Remember that a low trade count means the statistics are not very strong. 5. Experiment: - Tweak thresholds (`entryLevel`, `exitLevel`), Stochastic settings, EMA length, and risk params. - See how the metrics and trade frequency change. 6. Forward-test: - Before using any idea in live trading, forward-test on a demo account and observe behaviour in real time. ──────────────────────── 7. Originality and usefulness (why this is more than a mashup) ──────────────────────── This script is not intended to be a random visual mashup of indicators. It is designed as a coherent, testable strategy with clear roles for each component: • Range Oscillator: - Handles mean vs. range-expansion states via an adaptive, ATR-normalized metric. • Stochastic: - Acts as a timing filter to avoid entering purely on extremes and instead waits for momentum to turn. • EMA Exit Filter: - Trend-slope-based safety net to exit when the medium-term direction changes against the position. • Risk module: - Provides practical, rule-based exits: SL, TP, and R-multiple exit, which are useful for structuring risk even if you modify the core logic. It aims to give traders a ready-made **framework to study and modify**, not a black box or “signals” product. ──────────────────────── 8. Limitations and good practices ──────────────────────── • No single strategy works on all markets or in all regimes. • This script is long-only; it does not short the market. • Performance can degrade when market structure changes. • Overfitting (curve fitting) is a real risk if you endlessly tweak parameters to maximise historical profit. Good practices: - Test on multiple symbols and timeframes. - Focus on stability and drawdown, not only on how high the profit line goes. - View this as a learning tool and a basis for your own research. ──────────────────────── 9. Licensing and credits ──────────────────────── • Core oscillator idea & base code: - “Range Oscillator (Zeiierman)” - © Zeiierman, licensed under CC BY-NC-SA 4.0. • Strategy logic, Stochastic confirmation, EMA Exit Filter, and risk-management layer: - Modifications by jokiniemi. Please respect both the original license and TradingView House Rules if you fork or republish any part of this script. ──────────────────────── 10. No payments / no vendor pitch ──────────────────────── • This script is completely FREE to use on TradingView. • There is no paid subscription, no external payment link, and no private signals group attached to it. • If you have questions, please use TradingView’s comment system or private messages instead of expecting financial advice. Use this script as a tool to learn, experiment, and build your own understanding of markets. ──────────────────────── 11. Example backtest settings used in screenshots ──────────────────────── To avoid any confusion about how the results shown in screenshots were produced, here is one concrete example configuration: • Symbol: BTCUSDT (or similar major BTC pair) • Timeframe: 1D (Daily) • Backtest period: from 2018 to the most recent data • Initial capital: 10 000 • Order size type: Percent of equity • Order size: 2% per trade • Commission: 0.1% • Slippage: 3 ticks • Risk settings: Stop Loss and Take Profit disabled by default, Risk/Reward exit disabled by default • Filters: Range Oscillator entry/exit enabled, Stochastic confirmation enabled, EMA Exit Filter enabled If you change any of these settings (symbol, timeframe, risk per trade, commission, slippage, filters, etc.), your results will look different. Please always adapt the configuration to your own risk tolerance, market, and trading style.
Pine Script® Strategie
von jokiniemi
Braid Filter StrategyThis strategy is like a sophisticated set of traffic lights and speed limit signs for trading. It only allows a trade when multiple indicators line up to confirm a strong move, giving it its "Braid Filter" name—it weaves together several conditions. The strategy is set up to use 100% of your account equity (your trading funds) on a trade and does not "pyramid" (it won't add to an existing trade). 1. The Main Trend Check (The Traffic Lights) The strategy uses three main filters that must agree before it considers a trade. A. The "Chad Filter" (Direction & Strength) This is the heart of the strategy, a custom combination of three different Moving AveragesThese averages have fast, medium, and slow settings (3, 7, and 14 periods). Go Green (Buy Signal): The fastest average is higher than the medium average, AND the three averages are sufficiently separated (not tangled up, which indicates a strong move). Go Red (Sell Signal): The medium average is higher than the fastest average, AND the three averages are sufficiently separated. Neutral (Wait): If the averages are tangled or the separation isn't strong enough. Key Trigger: A primary condition for a signal is when the Chad Filter changes color (e.g., from Red/Grey to Green). B. The EMA Trend Bars (Secondary Confirmation) This is a simpler, longer-term filter using a 34-period Exponential Moving Average (EMA). It checks if the current candle's average price is above or below this EMA. Green Bars: The price is above the 34 EMA (Bullish Trend). Red Bars: The price is below the 34 EMA (Bearish Trend). Trades only happen if the signal direction matches the bar color. For a Buy, the bar must be Green. For a Sell, the bar must be Red. C. ADX/DI Filter (The Speed Limit Sign) This uses the Average Directional Index (ADX) and Directional Movement Indicators (DI) to check if a trend is actually in motion and getting stronger. Must-Have Conditions: The ADX value must be above 20 (meaning there is a trend, not just random movement). The ADX line must be rising (meaning the trend is accelerating/getting stronger). The strategy will only trade when the trend is strong and building momentum. 2. The Trading Action (Entry and Exit) When all three filters (Chad Filter color change, EMA Trend Bar color, and ADX strength/slope) align, the strategy issues a signal, but it doesn't enter immediately. Entry Strategy (The "Wait-for-Confirmation" Approach): When a Buy Signal appears, the strategy sets a "Buy Stop" order at the signal candle's closing price. It then waits for up to 3 candles (Candles Valid for Entry). The price must move up and hit that Buy Stop price within those 3 candles to confirm the move and enter the trade. A Sell Signal works the same way but uses a "Sell Stop" at the closing price, waiting for the price to drop and hit it. Risk Management (Stop Loss and Take Profit): Stop Loss: To manage risk, the strategy finds a recent significant low (for a Buy) or high (for a Sell) over the last 20 candles and places the Stop Loss there. This is a logical place where the current move would be considered "broken" if the price reaches it. Take Profit: It uses a fixed Risk:Reward Ratio (set to 1.5 by default). This means the potential profit (Take Profit distance) is $1.50 for every $1.00 of risk (Stop Loss distance). 3. Additional Controls Time Filter: You can choose to only allow trades during specific hours of the day. Visuals: It shows a small triangle on the chart where the signal happens and colors the background to reflect the Chad Filter's trend (Green/Red/Grey) and the candle bars to show the EMA trend (Lime/Red). 🎯 Summary of the Strategy's Goal This strategy is designed to capture strong, confirmed momentum moves. It uses a fast, custom indicator ("Chad Filter") to detect the start of a new move, confirms that move with a slower trend filter (34 EMA), and then validates the move's strength with the ADX. By waiting a few candles for the price to hit the entry level, it aims to avoid false signals.
Pine Script® Strategie
von ChadAnt
7