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Profit Accumulator Heat MapHi Everyone Happy to share this heat map packed full of indicators to make those trading decisions. There are a whole host of indicators including: Inverse Fischer Transform Moving Average Slope EMA50 Crossover Schaff Trend Cycle MACD RSI Stochastic RSI Moving Average Cross Over Quantitative Qualitative Estimation On Balance Volume All of the indicators are customisable in the settings so you can adjust them to how you want. I often find that the combination of MACD and QQE provide good early entry and exit signals. Any comments or improvements then please feel free to get in touch. Cheers Mike Big thanks go to @everget, @JustUncleL and @LazyBear for the use of their codes.
Indicatore Pine Script®
di Mikeo82
1
Profit Accumulator VolatilityHi Everyone I thought I'd share my new volatility trend indicator for anyone to use. The indicator tracks the volatility in the market and plots this accordingly. Any plot above the zero line is a bullish signal and anything below the zero line is a bearish signal. Long and Short Entry points are indicated at the 10 and -10 values respectively. A value of over 40 , or under -40 indicates a strong trend. Possible entry and exit points are also highlighted on the chart. I've added alerts onto this indicator highlighting possible entry and exit points as well as when strong trends are developing and when they are over. This is intended to be used with your own indicators and/or analysis of the market and should be used carefully. I personally like to use this indicator for entry on the one hour chart and then drop down to the 15 minute chart to confirm my entry and to use that timeframe for my exit. Please feel free to forward any improvements that you'd like to make. Cheers Mike
Indicatore Pine Script®
di Mikeo82
Profit Accumulator On Balance VolumeOn Balance Volume Indicator This is a support indicator to the Main Indicator which has also been published. This indicator is from the basis of user Everget and a friend of mine on another site. This indicator has used a smoothing function in an attempt to provide more robust signals. In this indicator the user is looking for: Long trade: Upward sloping signal line and OBV greater than the signal line (shaded green). Short trade: Downward sloping signal line and OBV less than the signal line (shaded red). A horizontal signal line is a sign that the market is moving horizontally and trades should be placed very carefully. This indicator should definitely be used with the others in the suite to provide confluence when making a trade. I've been using this successfully on the one hour FX charts, but seems to work equally as well on higher or lower time frames (not less than 15min). The other indicators which are part of the suite are shown on the website which is highlighted in my signature at the bottom of the page. Purchase of the main indicator gives access to the full suite of eight indicators. I use the other indicators to confirm the direction of the trade and to determine if I want to trade or not. I use it along with the 2min, 15min and 4hr timeframes to identify the best entry window and how long I'm likely to be in the trade. Support can be provided via private message or in the comments below. The links are provided below for access to the indicator.
Indicatore Pine Script®
di Mikeo82
Profit Accumulator Heat MapHeat Map Indicator This is a support indicator to the Main Indicator which has also been published. This is a list of a number of indicators which cover trend, momentum and volatility. The key is very simple for this indicator, green is a long trade, red is a short trade and grey is an indicator which may be transitioning. The indicators uses are: MACD, PSAR, Bollinger Bands, RSI, Momentum and Chandelier Exit. All of the settings are customisable within the indicator and the user can best fit these around their charts. The simplicity of the heat map is that the more of one colour there is, the more likely it is that a trade can be placed. I've been using this successfully on the one hour FX charts, but seems to work equally as well on higher or lower time frames (not less than 15min). The other indicators which are part of the suite are shown on the website which is highlighted in my signature at the bottom of the page. Purchase of the main indicator gives access to the full suite of eight indicators. I use the other indicators to confirm the direction of the trade and to determine if I want to trade or not. I use it along with the 2min, 15min and 4hr timeframes to identify the best entry window and how long I'm likely to be in the trade. Support can be provided via private message or in the comments below. The links are provided below for access to the indicator.
Indicatore Pine Script®
di Mikeo82
Profit Accumulator Moving Average SlopeMoving Average Slope Indicator This is a support indicator to the Main Indicator which has also been published. This indicator makes use of custom and adjustable moving averages. There are two options for this centred oscillator: Average of Three Moving Averages on Current Time Frame Average of Three Moving Average Time Frames for One Length (i.e. if I'm using a 1hr time frame I would take the average of 30min, 1hr and 4hr moving averages with a 12 length). When the trend line crosses above zero it is an indication for a long trade and when the trend line crosses below zero it is an indication for a short trade. Whilst an actual alert function is not set for the indicator, the TradingView alert function can be used to trigger a message when the trendline crosses above or below zero. I've been using this successfully on the one hour FX charts, but seems to work equally as well on higher or lower time frames (not less than 15min). The other indicators which are part of the suite are shown on the website which is highlighted in my signature at the bottom of the page. Purchase of the main indicator gives access to the full suite of eight indicators. I use the other indicators to confirm the direction of the trade and to determine if I want to trade or not. I use it along with the 2min, 15min and 4hr timeframes to identify the best entry window and how long I'm likely to be in the trade. Support can be provided via private message or in the comments below. The links are provided below for access to the indicator.
Indicatore Pine Script®
di Mikeo82
2
Profit Accumulator Momentum Trend IndicatorMomentum Trend Indicator This is a support indicator to the Main Indicator which has also been published. This indicator uses a modified stochastic trendline and a smoothed momentum line (which combines stochastic, RSI and moving average). This is a centred oscillator from -100 to 100 which makes it easier to track. The stochastic line is the quicker moving line which potentially acts as the first trigger. If the momentum line then begins to follow, then it is an indication that a trade should be made. Long Trades: The Stochastic line is above 25 and the momentum line is greater than -25. Short Trade: The Stochastic line is below -25 and the momentum line is less than 25. Whilst an actual alert function is not set for the indicator, the TradingView alert function can be used to trigger a message when either the stochastic line or momentum line crosses -25/25 (the key levels). I've been using this successfully on the one hour FX charts, but seems to work equally as well on higher or lower time frames (not less than 15min). The other indicators which are part of the suite are shown on the website which is highlighted in my signature at the bottom of the page. Purchase of the main indicator gives access to the full suite of eight indicators. I use the other indicators to confirm the direction of the trade and to determine if I want to trade or not. I use it along with the 2min, 15min and 4hr timeframes to identify the best entry window and how long I'm likely to be in the trade. Support can be provided via private message or in the comments below. The links are provided below for access to the indicator.
Indicatore Pine Script®
di Mikeo82
Profit Accumulator %BB%Bollinger Band Width This is a support indicator to the Main Indicator which has also been published. This indicator uses the close of a candle and compares where it is in relation to the upper and lower levels of a Bollinger Band. This is a centred oscillator where anything below the zero line is indicating a short signal and anything above zero is indicating a long signal. The crossing of the zero line is an important point for this indicator. Whilst an actual alert function is not set for the indicator, the TradingView alert function can be used to trigger a message when the line crosses zero (up or down). I've been using this successfully on the one hour FX charts, but seems to work equally as well on higher or lower time frames (not less than 15min). The other indicators which are part of the suite are shown on the website which is highlighted in my signature at the bottom of the page. Purchase of the main indicator gives access to the full suite of eight indicators. I use the other indicators to confirm the direction of the trade and to determine if I want to trade or not. I use it along with the 2min, 15min and 4hr timeframes to identify the best entry window and how long I'm likely to be in the trade. Support can be provided via private message or in the comments below. The links are provided below for access to the indicator.
Indicatore Pine Script®
di Mikeo82
Profit Maximizer 90%-95% IntraDayTrade Strategy WithTester Developed for Intraday and for very very Lesser Time Frame Trading. Note: Invite only Script .Request to me Access permission to test this. Strategy tester enabled .All you can test this in live market in any segment. Lesser the time frame greater the success rates as the test results. This can be used : Crypto Currency/Bitcoins ,Forex,currencies ,Index ,Commodity Gold/silver ,Oil Market and in Equity /Futures It will work for BINARY OPTION ,BINARY DIGITAL to enter and hold the position in right direction, User test it and confirm . How to Use: Three Main Zone BackGrounds: 1. Green Zone 2. LightRed Zone 3. Yellow Zone 1.Long only when Bar Color changed from Red or Black to BLUE and BackGround in Green, Hold the position until opposite color comes. 2.Short when BAR become Black and BackGround Red Exit when opposite color come. 3.Yellow Back Ground : Risk Trade Zone : When Red BARs Cautious Short , Yellow Zone LightGreen Bars (Avoid Trade) .In Yellow Zone Close the previous Entered postions. Time Frame : Lesser Time Frame and holding for longer time will give Good Result . 1min-1Hrs . This will not work >1Hr Strategy and Candle will disappear >1hr TimeFrame. Strategy Tester : Choose any Date Month Year to Current Date and check the results below in the Strategy Tester. REPAINT/NO REPAINT : No Repaint ,Previous candles and Background Color wont change. In the current candle position wait for the candle to close to see the stability.Current candle color might oscillate bit However it will not change from Blue to Black or Black to Blue or Black to Red. Note : Last Bar will be a actual Green or Red Bar by Default Do not Confuse with this.It is trading view default strategy design working way.Once Bar closes actual strategy color will appear. ALERT /AUTOVIEW capabilities : Strategy Tester does not support ALERT by default as you all know.In the Indicator version Alert will be added for all Buy Sell and cover entries. Test the strategy. SCRIPT : Access must be given by me to test this .Once access given you can test ,Request for access .Without access Study Not Auth error will come. Review and Feedback.Thank you! Refer the Release notes for any updates and my posts below and in my idea page for more details. Thank you! Any issues report to me to Fix.Thank you!
Strategia Pine Script®
di MarxBabu
1.2 K
Profit Wave Indicator AcessPredicts Trends and Works With Every Market. Works with all time frame charts but, better results with higher time frame charts. Use Base with buy side or sell side, don't have all indicators showing on chart. (Either Base with Buy Side or Base with Sell Side.) - Buy when Buy Side Crosses Under Base - Sell when Sell Side Crosses Above Base Best Strategy is to wait for buy side cross at support level or sell side cross at resistance level.
Strategia Pine Script®
di King-of-WallStreet
2
Profit target areaUpdate. - you can specify count of bars used to detect reversal pattern - you can specify count of bars used to determine lowest or highest price to place support or resistance - area between lines is filled by green - ascending, red - descending trend To trade: - open position using stop command on S/R - close position using limit command on retracement line - close position when background colour indicates trend change (erratum: last balloon on right should say "buy limit")
Indicatore Pine Script®
di ondra.novacisko.cz
9
RSI Crossover Signals by bilosh.🇬🇧 English Description RSI Crossover Signals by bilosh. 📈 Smart RSI Strategy with Buy/Sell & Take Profit Tracking! This indicator detects RSI crossover (up) and crossunder (down) signals, automatically calculates your average entry price, and plots a target line based on your chosen Take Profit (%) level. 💡 Key Features: RSI-based buy/sell signals (Overbought/Oversold zones) Scaling investment or Fixed investment mode Automatic average buy price tracking Auto-reset when Take Profit (%) is hit Live table: Average buy price, take profit level, profit/loss %, total investment TradingView alert support: Buy signal & take profit hit alerts 🎯 Best For: Traders using RSI-based strategies Investors applying DCA (Dollar Cost Averaging) Anyone aiming to close positions at a specific profit % ⚠️ Disclaimer: This indicator does not provide financial advice. Past performance does not guarantee future results. Please use it alongside your own analysis.
Indicatore Pine Script®
di bilalgazioglu
ETH Asian Open Breakout Strategy (1.2:1 to 5.2:1 R:R, 30 Bars)ETH Asian Open Breakout Trading Plan (1.2:1 to 5.2:1 R:R, 30 Bars) 1. Strategy Overview Objective: Capitalize on breakout movements in Ethereum (ETH) price after the Asian open pre-market session (6:00 PM–6:59 PM EST) by identifying high and low prices during the session and trading breakouts above the high or below the low. Timeframe: Any (script is timeframe-agnostic, but align with session timing). Session: Pre-market session (6:00 PM–6:59 PM EST, adjustable for other time zones, e.g., 11:00 PM–11:59 PM GMT). Risk-Reward Ratios (R:R): Targets range from 1.2:1 to 5.2:1, with a fixed stop loss. Instrument: Ethereum (ETH/USD or ETH-based pairs). 2. Market Setup Session Monitoring: Monitor ETH price action during the pre-market session (6:00 PM–6:59 PM EST), which aligns with the Asian market open (e.g., 7:00 AM–7:59 AM JST). The script tracks the highest high and lowest low during this session. Breakout Triggers: Buy Signal: Price breaks above the session’s high after the session ends (6:59 PM EST). Sell Signal: Price breaks below the session’s low after the session ends. Visualization: The session is highlighted on the chart with a white background. Horizontal lines are drawn at the session’s high and low, extended for 30 bars, along with take-profit (TP) and stop-loss (SL) levels. 3. Entry Rules Long (Buy) Entry: Enter a long position when the price breaks above the session’s high price after 6:59 PM EST. Entry price: Just above the session high (e.g., add a small buffer, like 0.1–0.5%, to avoid false breakouts, depending on volatility). Short (Sell) Entry: Enter a short position when the price breaks below the session’s low price after 6:59 PM EST. Entry price: Just below the session low (e.g., subtract a small buffer, like 0.1–0.5%). Confirmation: Use a candlestick close above/below the breakout level to confirm the entry. Optionally, add volume confirmation or a momentum indicator (e.g., RSI or MACD) to filter out weak breakouts. Position Size: Calculate position size based on risk tolerance (e.g., 1–2% of account per trade). Risk is determined by the stop-loss distance (10 points, as defined in the script). 4. Exit Rules Take-Profit Levels (in points, based on script inputs):TP1: 12 points (1.2:1 R:R). TP2: 22 points (2.2:1 R:R). TP3: 32 points (3.2:1 R:R). TP4: 42 points (4.2:1 R:R). TP5: 52 points (5.2:1 R:R). Example for Long: If session high is 3000, TP levels are 3012, 3022, 3032, 3042, 3052. Example for Short: If session low is 2950, TP levels are 2938, 2928, 2918, 2908, 2898. Strategy: Scale out of the position (e.g., close 20% at TP1, 20% at TP2, etc.) or take full profit at a preferred TP level based on market conditions. Stop-Loss: Fixed at 10 points from the entry. Long SL: Session high - 10 points (e.g., entry at 3000, SL at 2990). Short SL: Session low + 10 points (e.g., entry at 2950, SL at 2960). Trailing Stop (Optional):After reaching TP2 or TP3, consider trailing the stop to lock in profits (e.g., trail by 10–15 points below the current price). 5. Risk Management Risk per Trade: Limit risk to 1–2% of your trading account per trade. Calculate position size: Account Size × Risk % ÷ (Stop-Loss Distance × ETH Price per Point). Example: $10,000 account, 1% risk = $100. If SL = 10 points and 1 point = $1, position size = $100 ÷ 10 = 0.1 ETH. Daily Risk Limit: Cap daily losses at 3–5% of the account to avoid overtrading. Maximum Exposure: Avoid taking both long and short positions simultaneously unless using separate accounts or strategies. Volatility Consideration: Adjust position size during high-volatility periods (e.g., major news events like Ethereum upgrades or macroeconomic announcements). 6. Trade Management Monitoring :Watch for breakouts after 6:59 PM EST. Monitor price action near TP and SL levels using alerts or manual checks. Trade Duration :Breakout lines extend for 30 bars (script parameter). Close trades if no TP or SL is hit within this period, or reassess based on market conditions. Adjustments: If the market shows strong momentum, consider holding beyond TP5 with a trailing stop. If the breakout fails (e.g., price reverses before TP1), exit early to minimize losses. 7. Additional Considerations Market Conditions: The 6:00 PM–6:59 PM EST session aligns with the Asian market open, which may have higher volatility due to Asian market activity. Avoid trading during low-liquidity periods or extreme volatility (e.g., major crypto news). Check for upcoming events (e.g., Ethereum network upgrades, ETF decisions) that could impact price. Backtesting: Test the strategy on historical ETH data using the session high/low breakouts for the 6:00 PM–6:59 PM EST window to validate performance. Adjust TP/SL levels based on backtest results if needed. Broker and Fees: Use a low-fee crypto exchange (e.g., Binance, Kraken, Coinbase Pro) to maximize R:R. Account for trading fees and slippage in your position sizing. Timezone Adjustment: Adjust session time input for your timezone (e.g., "2300-2359" for GMT). Ensure your trading platform’s clock aligns with the script’s timezone (default: America/New_York). 8. Example Trade Scenario: Session (6:00 PM–6:59 PM EST) records a high of 3050 and a low of 3000. Long Trade: Entry: Price breaks above 3050 (e.g., enter at 3051). TP Levels: 3063 (TP1), 3073 (TP2), 3083 (TP3), 3093 (TP4), 3103 (TP5). SL: 3040 (3050 - 10). Position Size: For a $10,000 account, 1% risk = $100. SL = 11 points ($11). Size = $100 ÷ 11 = ~0.09 ETH. Short Trade: Entry: Price breaks below 3000 (e.g., enter at 2999). TP Levels: 2987 (TP1), 2977 (TP2), 2967 (TP3), 2957 (TP4), 2947 (TP5). SL: 3010 (3000 + 10). Position Size: Same as above, ~0.09 ETH. Execution: Set alerts for breakouts, enter with limit orders, and monitor TPs/SL. 9. Tools and Setup Platform: Use TradingView to implement the Pine Script and visualize breakout levels. Alerts: Set price alerts for breakouts above the session high or below the session low after 6:59 PM EST. Set alerts for TP and SL levels. Chart Settings: Use a 1-minute or 5-minute chart for precise session tracking. Overlay the script to see high/low lines, TP levels, and SL levels. Optional Indicators: Add RSI (e.g., avoid overbought/oversold breakouts) or volume to confirm breakouts. 10. Risk Warnings Crypto Volatility: ETH is highly volatile; unexpected news can cause rapid price swings. False Breakouts: Breakouts may fail, especially in low-volume sessions. Use confirmation signals. Leverage: Avoid high leverage (e.g., >5x) to prevent liquidation during volatile moves. Session Accuracy: Ensure correct session timing for your timezone to avoid misaligned entries. 11. Performance Tracking Journaling: Record each trade’s entry, exit, R:R, and outcome. Note market conditions (e.g., trending, ranging, news-driven). Review: Weekly: Assess win rate, average R:R, and adherence to the plan. Monthly: Adjust TP/SL or session timing based on performance.
Indicatore Pine Script®
di levijames7
SMC AUTO - V4🚀 SMC Auto - V4 Automated Smart Money Concepts strategy combining Break of Structure (BOS) detection, dynamic Supply/Demand zones, and trend filters with moving averages. 📈 Performance (Mar-Aug 2025): +10.53% return (+$1054 on $10k) Profit factor: 1.866 Win rate: 39.66% (23/58 trades) Max drawdown: 4.12% (optimal risk control) 🎯 Key Features: Automatic structure break detection Supply/demand zones based on price action Optimized Risk/Reward: 2.2:1 and 3.5:1 Position management with partial take profits EMA 21/50 trend filters to reduce false signals ✅ Strengths: Non-repainting approach (realistic results) Simple yet effective (avoids over-optimization) Solid backtests on XAUUSD Built-in debug table for monitoring
Strategia Pine Script®
di DylanAcd
Day-Trade Helper: EMA+VWAP+RSI (5m locked)Day-Trade Helper: EMA + VWAP + RSI What it is A lightweight day-trading companion for crypto (works on any market) that aligns entries with trend and intraday mean. It combines: Trend filter: 200 EMA Timing: 9/21 EMA cross Momentum: RSI threshold Bias/mean: Session VWAP (optional filter) Designed for clear rules, simple visuals, and one-click alert setups (long/short). How it works Trend – Price relative to the 200 EMA defines directional bias. Above = long-only bias Below = short-only bias Timing – A 9 EMA vs 21 EMA crossover looks for fresh momentum in the direction of that bias. Momentum – RSI must confirm (default: >55 for longs, <45 for shorts). VWAP filter (optional) – Require price to be above VWAP for longs or below VWAP for shorts to avoid fighting the session mean. When all conditions align on bar close, the script plots a BUY or SELL triangle and can trigger an alert. Signals (bar-close logic) Long setup: Price > 200 EMA (Optional) Price > VWAP EMA9 crosses above EMA21 RSI > Long Threshold (default 55) Short setup: Price < 200 EMA (Optional) Price < VWAP EMA9 crosses below EMA21 RSI < Short Threshold (default 45) Tip: Set alerts to “Once per bar close” to avoid intrabar noise and repaint-like behavior. Inputs & defaults Fast EMA: 9 Slow EMA: 21 Trend EMA: 200 RSI Length: 14 RSI Long Threshold: 55 (>) RSI Short Threshold: 45 (<) VWAP Filter: On/Off (default On) All inputs are adjustable to match your style/asset. Recommended use Timeframes: 3-minute or 5-minute for crypto day trades (1-minute is possible but noisier). Markets: Built for crypto but works on FX, indices, stocks. Market conditions: Best in trending or impulsive sessions. In heavy chop, tighten rules (raise RSI thresholds, keep VWAP filter on) or sit out. Risk management (starter guide) Stop-loss: Just beyond the 21 EMA or the most recent swing. Take-profit: Scale at 1R, then trail under/over the 21 EMA or last swing; target prior high/low or VWAP reversion. Position sizing: Keep per-trade risk small (e.g., 0.5–1% of account). Alerts Two built-in alert conditions: “Long setup” and “Short setup.” Create alert → Condition: this indicator → choose setup → Once per bar close. Alerts fire only when all conditions align. Notes on repainting & timeframe Signals evaluate on bar close; using close-only alerts avoids repaint-like surprises. If you publish a timeframe-locked version (e.g., 5m), the script computes on that timeframe even on lower-TF charts. If not locked, it uses the chart’s timeframe. Tuning ideas Fewer signals: raise RSI thresholds (e.g., 58/42) or require both 200 EMA and VWAP alignment. Faster feel: drop to 1-minute, but expect more whipsaws. Slower swing-scalp: use 15-minute with thresholds 60/40. Disclaimer This tool is for educational purposes only and is not financial advice. Markets carry risk; past performance does not guarantee future results. You are responsible for your own trading decisions. If you want, tell me whether you’re publishing the timeframe-locked (5m) version or the chart-timeframe version, and I’ll tailor a matching one-liner subtitle and tweak this description to fit exactly. Ask ChatGPT
Indicatore Pine Script®
di keyserkurt
Backtest - Strategy Builder [AlgoAlpha]🟠 OVERVIEW This script by AlgoAlpha is a modular Strategy Builder designed to let traders test custom trade entry and exit logic on TradingView without writing their own Pine code. It acts as a framework where users can connect multiple external signals, chain them in sequences, and run backtests with built-in leverage, margin, and risk controls. Its main strength is flexibility—you can define up to five sequential steps for entry and exit conditions on both long and short sides, with logic connectors (AND/OR) controlling how conditions combine. This lets you test complex multi-step confirmation workflows in a controlled, visual backtesting environment. 🟠 CONCEPTS The system works by linking external signals —these can be values from other indicators, and/or custom sources—to conditional checks like “greater than,” “less than,” or “crossover.” You can stack these checks into steps , where all conditions in a step must pass before the sequence moves to the next. This creates a chain of logic that must be completed before a trade triggers. On execution, the strategy sizes positions according to your chosen leverage mode ( Cross or Isolated ) and allocation method ( Percent of equity or absolute USD value]). Liquidation prices are simulated for both modes, allowing realistic margin behaviour in testing. The script also tracks performance metrics like Sharpe, Sortino, profit factor, drawdown, and win rate in real time. 🟠 FEATURES Up to 5 sequential steps for both long and short entries, each with multiple conditions linked by AND/OR logic. Two leverage modes ( Cross and Isolated ) with independent long/short leverage multipliers. Separate multi-step exit triggers for longs and shorts, with optional TP/SL levels or opposite-side triggers for flipping positions. Position sizing by equity percent or fixed USD amount, applied before leverage. Realistic liquidation price simulation for margin testing. Built-in trade gating and validation—prevents trades if configuration rules aren’t met (e.g., no exit defined for an active side). Full performance dashboard table showing live strategy status, warnings, and metrics. Configurable bar coloring based on position side and TP/SL level drawing on chart. Integration with TradingView's strategy backtester, allowing users to view more detailed metrics and test the strategy over custom time horizons. 🟠 USAGE Add the strategy to your chart. In the settings, under Master Settings , enable longs/shorts, select leverage mode, set leverage multipliers, and define position sizing. Then, configure your Long Trigger and Short Trigger groups: turn on conditions, pick which external signal they reference, choose the comparison type, and assign them to a sequence step. For exits, use the corresponding Exit Long Trigger and Exit Short Trigger groups, with the option to link exits to opposite-side entries for auto-flips. You can also enable TP and/or SL exits with custom sources for the TP/SL levels. Once set, the strategy will simulate trades, show performance stats in the on-chart table, and highlight any configuration issues before execution. This makes it suitable for testing both simple single-signal systems and complex, multi-filtered strategies under realistic leverage and margin constraints. 🟠 EXAMPLE The backtester on its own does not contain any indicator calculation; it requires input from external indicators to function. In this example, we'll be using AlgoAlpha's Smart Signals Assistant indicator to demonstrate how to build a strategy using this script. We first define the conditions beforehand: Entry : Longs – SSA Bullish signal (strong OR weak) Shorts – SSA Bearish signal (strong OR weak) Exit Longs/Shorts: (TP/SL hit OR opposing signal fires) Other Parameters (⚠️Example only, tune this based on proper risk management and settings) Long Leverage: default (3x) Short Leverage: default (3x) Position Size: default (10% of equity) Steps Load up the required indicators (in this example, the Smart Signals Assistant). Ensure the required plots are being output by the indicator properly (signals and TP/SL levels are being plotted). Open the Strategy Builder settings and scroll down to "CONDITION SETUP"; input the signals from the external indicator. Configure the exit conditions, add in the TP/SL levels from the external indicator, and add an additional exit condition → {{Opposite Direction}} Entry Trigger. After configuring the entry and exit conditions, the strategy should now be running. You can view information on the strategy in TradingView's backtesting report and also in the Strategy Builder's information table (default top right corner). It is important to note that the strategy provided above is just an example, and the complexity of possible strategies stretches beyond what was shown in this short demonstration. Always incorporate proper risk management and ensure thorough testing before trading with live capital.
Strategia Pine Script®
di AlgoAlpha
Qullamaggie [Modified] | FractalystWhat's the purpose of this strategy? The strategy aims to identify high-probability breakout setups in trending markets, inspired by Kristjan "Qullamaggie" Kullamägi’s approach. It focuses on capturing explosive price moves after periods of consolidation, using technical criteria like moving averages, breakouts, trailing stop-loss and momentum confirmation. Ideal for swing traders seeking to ride strong trends while managing risk. ---- How does the strategy work? The strategy follows a systematic process to capture high-momentum breakouts: Pre-Breakout Criteria: Prior Price Surge: Identifies stocks that have rallied 30-100%+ in recent month(s), signaling strong underlying momentum (per Qullamaggie’s volatility expansion principles). Consolidation Phase: Looks for a tightening price range (e.g., flag, pennant, or tight base), indicating a potential "coiling" before continuation. Trend Confirmation: Uses moving averages (e.g., 20/50/200 EMA) to ensure the stock is trading above key averages on the daily chart, confirming an uptrend. Price Break: Enters when price clears the consolidation high with conviction. Risk Management: Initial Stop Loss: Placed below the consolidation low or a recent swing point to limit downside. Break-Even Adjustment: Moves stop loss to breakeven once the trade reaches 1.5x risk-to-reward (RR), securing a "free trade" while letting winners run. Trailing Stop (Unique Edge): Market Structure Trailing: Instead of trailing via moving averages, the stop is dynamically adjusted using structural invalidation level. This adapts to price action, allowing the trade to stay open during volatile retracements while locking in gains as new structure forms. Why This Matters: Most strategies use rigid trailing stops (e.g., below the 10EMA), which often exit prematurely in choppy markets. By trailing based on structure, this strategy avoids "noise" and captures larger trends, directly boosting overall returns. ---- What markets or timeframes is this suited for? This is a long-only strategy designed for trending markets, and it performs best in: Markets: Stocks (especially high-growth, liquid equities), cryptocurrencies (major pairs with strong volatility), commodities (e.g., oil, gold), and futures (index/commodity futures). Timeframes: Primarily daily charts for swing trades (1-30 day holds), though weekly charts can help confirm broader trends. Key Advantage: The TradingView script allows instant backtesting with adjustable parameters You can: - Test historical performance across multiple markets to identify which assets align best with the strategy. - Optimize settings (e.g., trailing stop sensitivity, moving averages etc.) to match a market’s volatility profile. Build a diversified portfolio by filtering for markets that show consistent profitability in backtests. For example, you might discover cryptos require tighter trailing stops due to volatility, while stocks thrive with wider structural stops. The script automates this analysis, letting you to trade confidently. ---- What indicators or tools does the strategy use? The strategy combines customizable technical tools with strict anti-lookahead safeguards: Core Indicators: Moving Averages: Adjustable periods (e.g., 20/50/200 EMA or SMA) and timeframes (daily/weekly) to confirm trend alignment. Users can test combinations (e.g., 10EMA vs. 20EMA) to optimize for specific markets. Breakout Parameters: Consolidation Length: Adjustable window to define the "tightness" of the pre-breakout pattern. Entry Models: Flexible entry logics (Breakouts and fractals) Anti-Lookahead Design: All calculations (e.g., moving averages, consolidation ranges, volume averages) use only closed/confirmed data available at the time of the signal. ---- How do I manage risk with this strategy? The strategy prioritizes customizable risk controls to align with your trading style and account size: User-Defined Risk Inputs: Risk Per Trade: Set a % of Equity (e.g., 1-2%) to determine position size. The strategy auto-calculates shares/contracts to match your selected risk per trade. Flexibility: Choose between fixed risk or equity-based scaling. The script adjusts position sizing dynamically based on your selection. Pyramiding Feature: Customizable Entries: Adjust the number of pyramiding trades allowed (e.g., 1-3 additional positions) in the strategy settings. Each new entry is triggered only if the prior trade hits its 1.5x RR target and the trend remains intact. Risk-Scaled Additions: New positions use profits from prior trades, compounding gains without increasing initial risk. Risk-Free Trade Mechanic: Once a trade reaches 1.5x RR, the stop loss is moved to breakeven, eliminating downside risk. The strategy then opens a new position (if pyramiding is enabled) using a portion of the locked-in profit. This "snowballs" winners while keeping total capital exposure stable. Impact on Net Profit & Drawdown: Net Profit Boost: Pyramiding lets you ride multi-leg trends aggressively. For example, a 100% runner could generate 2-3x more profit vs. a single-entry approach. Controlled Drawdowns: Since new positions are funded by profits (not initial capital), max drawdown stays anchored to your original risk per trade (e.g., 1-2% of account). Even if later entries fail, the breakeven stop on prior trades protects overall equity. Why This Works: Most strategies either over-leverage (increasing drawdowns) or exit too early. By recycling profits into new positions only after securing risk-free capital, this approach mimics hedge fund "scaling in" tactics while staying retail-trader friendly. ---- How does the strategy identify market structure for its trailing stoploss? The strategy identifies market structure by utilizing an efficient logic with for loops to pinpoint the first swing candle that features a pivot of 2. This marks the beginning of the break of structure, where the market's previous trend or pattern is considered invalidated or changed. ---- What are the underlying calculations? The underlying calculations involve: Identifying Swing Points: The strategy looks for swing highs (marked with blue Xs) and swing lows (marked with red Xs). A swing high is identified when a candle's high is higher than the highs of the candles before and after it. Conversely, a swing low is when a candle's low is lower than the lows of the candles before and after it. Break of Structure (BOS): Bullish BOS: This occurs when the price breaks above the swing high level of the previous structure, indicating a potential shift to a bullish trend. Bearish BOS: This happens when the price breaks below the swing low level of the previous structure, signaling a potential shift to a bearish trend. Structural Liquidity and Invalidation: Structural Liquidity: After a break of structure, liquidity levels are updated to the first swing high in a bullish BOS or the first swing low in a bearish BOS. Structural Invalidation: If the price moves back to the level of the first swing low before the bullish BOS or the first swing high before the bearish BOS, it invalidates the break of structure, suggesting a potential reversal or continuation of the previous trend. This method provides users with a technical approach to filter market regimes, offering an advantage by minimizing the risk of overfitting to historical data, which is often a concern with traditional indicators like moving averages. By focusing on identifying pivotal swing points and the subsequent breaks of structure, the strategy maintains a balance between sensitivity to market changes and robustness against historical data anomalies, ensuring a more adaptable and potentially more reliable market analysis tool. ---- What entry criteria are used in this script? The script uses two entry models for trading decisions: BreakOut and Fractal. Underlying Calculations: Breakout: The script records the most recent swing high by storing it in a variable. When the price closes above this recorded level, and all other predefined conditions are satisfied, the script triggers a breakout entry. This approach is considered conservative because it waits for the price to confirm a breakout above the previous high before entering a trade. As shown in the image, as soon as the price closes above the new candle (first tick), the long entry gets taken. The stop-loss is initially set and then moved to break-even once the price moves in favor of the trade. Fractal: This method involves identifying a swing low with a period of 2, which means it looks for a low point where the price is lower than the two candles before and after it. Once this pattern is detected, the script executes the trade. This is an aggressive approach since it doesn't wait for further price confirmation. In the image, this is represented by the 'Fractal 2' label where the script identifies and acts on the swing low pattern. ---- What type of stop-loss identification method are used in this strategy? This strategy employs two types of stop-loss methods: Initial Stop-loss and Trailing Stop-Loss. Underlying Calculations: Initial Stop-loss: ATR Based: The strategy uses the Average True Range (ATR) to set an initial stop-loss, which helps in accounting for market volatility without predicting price direction. Calculation: - First, the True Range (TR) is calculated for each period, which is the greatest of: - Current Period High - Current Period Low - Absolute Value of Current Period High - Previous Period Close - Absolute Value of Current Period Low - Previous Period Close - The ATR is then the moving average of these TR values over a specified period, typically 14 periods by default. This ATR value can be used to set the stop-loss at a distance from the entry price that reflects the current market volatility. Swing Low Based: For this method, the stop-loss is set based on the most recent swing low identified in the market structure analysis. This approach uses the lowest point of the recent price action as a reference for setting the stop-loss. Trailing Stop-Loss: The strategy uses structural liquidity and structural invalidation levels across multiple timeframes to adjust the stop-loss once the trade is profitable. This method involves: Detecting Structural Liquidity: After a break of structure, the liquidity levels are updated to the first swing high in a bullish scenario or the first swing low in a bearish scenario. These levels serve as potential areas where the price might find support or resistance, allowing the stop-loss to trail the price movement. Detecting Structural Invalidation: If the price returns to the level of the first swing low before a bullish break of structure or the first swing high before a bearish break of structure, it suggests the trend might be reversing or invalidating, prompting the adjustment of the stop-loss to lock in profits or minimize losses. By using these methods, the strategy dynamically adjusts the initial stop-loss based on market volatility, helping to protect against adverse price movements while allowing for enough room for trades to develop. The ATR-based stop-loss adapts to the current market conditions by considering the volatility, ensuring that the stop-loss is not too tight during volatile periods, which could lead to premature exits, nor too loose during calm markets, which might result in larger losses. Similarly, the swing low based stop-loss provides a logical exit point if the market structure changes unfavorably. Each market behaves differently across various timeframes, and it is essential to test different parameters and optimizations to find out which trailing stop-loss method gives you the desired results and performance. This involves backtesting the strategy with different settings for the ATR period, the distance from the swing low, and how the trailing stop-loss reacts to structural liquidity and invalidation levels. Through this process, you can tailor the strategy to perform optimally in different market environments, ensuring that the stop-loss mechanism supports the trade's longevity while safeguarding against significant drawdowns. ---- What type of break-even method is used in this strategy? What are the underlying calculations? Moves the initial stop-loss to the entry price when the price reaches a certain RR ratio. Calculation: Break-even level = Entry Price + (Initial Risk * RR Ratio) ---- What tables are available in this script? - Summary: Provides a general overview, displaying key performance parameters such as Net Profit, Profit Factor, Max Drawdown, Average Trade, Closed Trades and more. Total Commission: Displays the cumulative commissions incurred from all trades executed within the selected backtesting window. This value is derived by summing the commission fees for each trade on your chart. Average Commission: Represents the average commission per trade, calculated by dividing the Total Commission by the total number of closed trades. This metric is crucial for assessing the impact of trading costs on overall profitability. Avg Trade: The sum of money gained or lost by the average trade generated by a strategy. Calculated by dividing the Net Profit by the overall number of closed trades. An important value since it must be large enough to cover the commission and slippage costs of trading the strategy and still bring a profit. MaxDD: Displays the largest drawdown of losses, i.e., the maximum possible loss that the strategy could have incurred among all of the trades it has made. This value is calculated separately for every bar that the strategy spends with an open position. Profit Factor: The amount of money a trading strategy made for every unit of money it lost (in the selected currency). This value is calculated by dividing gross profits by gross losses. Avg RR: This is calculated by dividing the average winning trade by the average losing trade. This field is not a very meaningful value by itself because it does not take into account the ratio of the number of winning vs losing trades, and strategies can have different approaches to profitability. A strategy may trade at every possibility in order to capture many small profits, yet have an average losing trade greater than the average winning trade. The higher this value is, the better, but it should be considered together with the percentage of winning trades and the net profit. Winrate: The percentage of winning trades generated by a strategy. Calculated by dividing the number of winning trades by the total number of closed trades generated by a strategy. Percent profitable is not a very reliable measure by itself. A strategy could have many small winning trades, making the percent profitable high with a small average winning trade, or a few big winning trades accounting for a low percent profitable and a big average winning trade. Most mean-reversion successful strategies have a percent profitability of 40-80% but are profitable due to risk management control. BE Trades: Number of break-even trades, excluding commission/slippage. Losing Trades: The total number of losing trades generated by the strategy. Winning Trades: The total number of winning trades generated by the strategy. Total Trades: Total number of taken traders visible your charts. Net Profit: The overall profit or loss (in the selected currency) achieved by the trading strategy in the test period. The value is the sum of all values from the Profit column (on the List of Trades tab), taking into account the sign. - Monthly: Displays performance data on a month-by-month basis, allowing users to analyze performance trends over each month and year. - Weekly: Displays performance data on a week-by-week basis, helping users to understand weekly performance variations. - UI Table: A user-friendly table that allows users to view and save the selected strategy parameters from user inputs. This table enables easy access to key settings and configurations, providing a straightforward solution for saving strategy parameters by simply taking a screenshot with Alt + S or ⌥ + S. User-input styles and customizations: Please note that all background colors in the style are disabled by default to enhance visualization. How to Use This Strategy to Create a Profitable Edge and Systems? Choose Your Strategy mode: - Decide whether you are creating an investing strategy or a trading strategy. Select a Market: - Choose a one-sided market such as stocks, indices, or cryptocurrencies. Historical Data: - Ensure the historical data covers at least 10 years of price action for robust backtesting. Timeframe Selection: - Choose the timeframe you are comfortable trading with. It is strongly recommended to use a timeframe above 15 minutes to minimize the impact of commissions/slippage on your profits. Set Commission and Slippage: - Properly set the commission and slippage in the strategy properties according to your broker/prop firm specifications. Parameter Optimization: - Use trial and error to test different parameters until you find the performance results you are looking for in the summary table or, preferably, through deep backtesting using the strategy tester. Trade Count: - Ensure the number of trades is 200 or more; the higher, the better for statistical significance. Positive Average Trade: - Make sure the average trade is above zero. (An important value since it must be large enough to cover the commission and slippage costs of trading the strategy and still bring a profit.) Performance Metrics: - Look for a high profit factor, and net profit with minimum drawdown. - Ideally, aim for a drawdown under 20-30%, depending on your risk tolerance. Refinement and Optimization: - Try out different markets and timeframes. - Continue working on refining your edge using the available filters and components to further optimize your strategy. What Makes This Strategy Unique? This strategy combines flexibility, smart risk management, and momentum focus in a way that’s rare and practical: 1. Adapts to Any Market Rhythm Works on daily, weekly, or intraday charts without code changes. Uses two entry types: classic breakouts (like trending stocks) or fractal patterns (to avoid false starts). 2. Smarter Stop-Loss System No rigid rules: Stops adjust based on price structure (e.g., new “higher lows”), not fixed percentages. Avoids whipsaws: Tightens stops only when the trend strengthens, not in choppy markets. 3. Safe Profit-Boosting Pyramiding Adds new positions only after prior trades are risk-free (stops moved above breakeven). Scales up using locked-in profits, not new capital, to grow gains safely. 4. Built-In Momentum Check Tracks 1/3/6-month price growth to spotlight stocks with strong, lasting momentum. Terms and Conditions | Disclaimer Our charting tools are provided for informational and educational purposes only and should not be construed as financial, investment, or trading advice. They are not intended to forecast market movements or offer specific recommendations. Users should understand that past performance does not guarantee future results and should not base financial decisions solely on historical data. Built-in components, features, and functionalities of our charting tools are the intellectual property of @Fractalyst Unauthorized use, reproduction, or distribution of these proprietary elements is prohibited. - By continuing to use our charting tools, the user acknowledges and accepts the Terms and Conditions outlined in this legal disclaimer and agrees to respect our intellectual property rights and comply with all applicable laws and regulations.
Strategia Pine Script®
di Fractalyst
1
Dollar Cost Averaging (DCA) | FractalystWhat's the purpose of this strategy? The purpose of dollar cost averaging (DCA) is to grow investments over time using a disciplined, methodical approach used by many top institutions like MicroStrategy and other institutions. Here's how it functions: Dollar Cost Averaging (DCA): This technique involves investing a set amount of money regularly, regardless of market conditions. It helps to mitigate the risk of investing a large sum at a peak price by spreading out your investment, thus potentially lowering your average cost per share over time. Regular Contributions: By adding money to your investments on a pre-determined frequency and dollar amount defined by the user, you take advantage of compounding. The script will remind you to contribute based on your chosen schedule, which can be weekly, bi-weekly, monthly, quarterly, or yearly. This systematic approach ensures that your returns can earn their own returns, much like interest on savings but potentially at a higher rate. Technical Analysis: The strategy employs a market trend ratio to gauge market sentiment. It calculates the ratio of bullish vs bearish breakouts across various timeframes, assigning this ratio a percentage-based score to determine the directional bias. Once this score exceeds a user-selected percentage, the strategy looks to take buy entries, signaling a favorable time for investment based on current market trends. Fundamental Analysis: This aspect looks at the health of the economy and companies within it to determine bullish market conditions. Specifically, we consider: Specifically, it considers: Interest Rate: High interest rates can affect borrowing costs, potentially slowing down economic growth or making stocks less attractive compared to fixed income. Inflation Rate: Inflation erodes purchasing power, but moderate inflation can be a sign of a healthy economy. We look for investments that might benefit from or withstand inflation. GDP Rate: GDP growth indicates the overall health of the economy; we aim to invest in sectors poised to grow with the economy. Unemployment Rate: Lower unemployment typically signals consumer confidence and spending power, which can boost certain sectors. By integrating these elements, the strategy aims to: Reduce Investment Volatility: By spreading out your investments, you're less impacted by short-term market swings. Enhance Growth Potential: Using both technical and fundamental filters helps in choosing investments that are more likely to appreciate over time. Manage Risk: The strategy aims to balance the risk of market timing by investing consistently and choosing assets wisely based on both economic data and market conditions. ---- What are Regular Contributions in this strategy? Regular Contributions involve adding money to your investments on a pre-determined frequency and dollar amount defined by the user. The script will remind you to contribute based on your chosen schedule, which can be weekly, bi-weekly, monthly, quarterly, or yearly. This systematic approach ensures that your returns can earn their own returns, much like interest on savings but potentially at a higher rate. ---- How do regular contributions enhance compounding and reduce timing risk? Enhances Compounding: Regular contributions leverage the power of compounding, where returns on investments can generate their own returns, potentially leading to exponential growth over time. Reduces Timing Risk: By investing regularly, the strategy minimizes the risk associated with trying to time the market, spreading out the investment cost over time and potentially reducing the impact of volatility. Automated Reminders: The script reminds users to make contributions based on their chosen schedule, ensuring consistency and discipline in investment practices, which is crucial for long-term success. ---- How does the strategy integrate technical and fundamental analysis for investors? A: The strategy combines technical and fundamental analysis in the following manner: Technical Analysis: It uses a market trend ratio to determine the directional bias by calculating the ratio of bullish vs bearish breakouts. Once this ratio exceeds a user-selected percentage threshold, the strategy signals to take buy entries, optimizing the timing within the given timeframe(s). Fundamental Analysis: This aspect assesses the broader economic environment to identify sectors or assets that are likely to benefit from current economic conditions. By understanding these fundamentals, the strategy ensures investments are made in assets with strong growth potential. This integration allows the strategy to select investments that are both technically favorable for entry and fundamentally sound, providing a comprehensive approach to investment decisions in the crypto, stock, and commodities markets. ---- How does the strategy identify market structure? What are the underlying calculations? Q: How does the strategy identify market structure? A: The strategy identifies market structure by utilizing an efficient logic with for loops to pinpoint the first swing candle that features a pivot of 2. This marks the beginning of the break of structure, where the market's previous trend or pattern is considered invalidated or changed. What are the underlying calculations for identifying market structure? A: The underlying calculations involve: Identifying Swing Points: The strategy looks for swing highs (marked with blue Xs) and swing lows (marked with red Xs). A swing high is identified when a candle's high is higher than the highs of the candles before and after it. Conversely, a swing low is when a candle's low is lower than the lows of the candles before and after it. Break of Structure (BOS): Bullish BOS: This occurs when the price breaks above the swing high level of the previous structure, indicating a potential shift to a bullish trend. Bearish BOS: This happens when the price breaks below the swing low level of the previous structure, signaling a potential shift to a bearish trend. Structural Liquidity and Invalidation: Structural Liquidity: After a break of structure, liquidity levels are updated to the first swing high in a bullish BOS or the first swing low in a bearish BOS. Structural Invalidation: If the price moves back to the level of the first swing low before the bullish BOS or the first swing high before the bearish BOS, it invalidates the break of structure, suggesting a potential reversal or continuation of the previous trend. This method provides users with a technical approach to filter market regimes, offering an advantage by minimizing the risk of overfitting to historical data, which is often a concern with traditional indicators like moving averages. By focusing on identifying pivotal swing points and the subsequent breaks of structure, the strategy maintains a balance between sensitivity to market changes and robustness against historical data anomalies, ensuring a more adaptable and potentially more reliable market analysis tool. What entry criteria are used in this script? The script uses two entry models for trading decisions: BreakOut and Fractal. Underlying Calculations: Breakout: The script records the most recent swing high by storing it in a variable. When the price closes above this recorded level, and all other predefined conditions are satisfied, the script triggers a breakout entry. This approach is considered conservative because it waits for the price to confirm a breakout above the previous high before entering a trade. As shown in the image, as soon as the price closes above the new candle (first tick), the long entry gets taken. The stop-loss is initially set and then moved to break-even once the price moves in favor of the trade. Fractal: This method involves identifying a swing low with a period of 2, which means it looks for a low point where the price is lower than the two candles before and after it. Once this pattern is detected, the script executes the trade. This is an aggressive approach since it doesn't wait for further price confirmation. In the image, this is represented by the 'Fractal 2' label where the script identifies and acts on the swing low pattern. ---- How does the script calculate trend score? What are the underlying calculations? Market Trend Ratio: The script calculates the ratio of bullish to bearish breakouts. This involves: Counting Bullish Breakouts: A bullish breakout is counted when the price breaks above a recent swing high (as identified in the strategy's market structure analysis). Counting Bearish Breakouts: A bearish breakout is counted when the price breaks below a recent swing low. Percentage-Based Score: This ratio is then converted into a percentage-based score: For example, if there are 10 bullish breakouts and 5 bearish breakouts in a given timeframe, the ratio would be 10:5 or 2:1. This could be translated into a score where 66.67% (10/(10+5) * 100) represents the bullish trend strength. The score might be calculated as (Number of Bullish Breakouts / Total Breakouts) * 100. User-Defined Threshold: The strategy uses this score to determine when to take buy entries. If the trend score exceeds a user-defined percentage threshold, it indicates a strong enough bullish trend to justify a buy entry. For instance, if the user sets the threshold at 60%, the script would look for a buy entry when the trend score is above this level. Timeframe Consideration: The calculations are performed across the timeframes specified by the user, ensuring the trend score reflects the market's behavior over different periods, which could be daily, weekly, or any other relevant timeframe. This method provides a quantitative measure of market trend strength, helping to make informed decisions based on the balance between bullish and bearish market movements. What type of stop-loss identification method are used in this strategy? This strategy employs two types of stop-loss methods: Initial Stop-loss and Trailing Stop-Loss. Underlying Calculations: Initial Stop-loss: ATR Based: The strategy uses the Average True Range (ATR) to set an initial stop-loss, which helps in accounting for market volatility without predicting price direction. Calculation: - First, the True Range (TR) is calculated for each period, which is the greatest of: - Current Period High - Current Period Low - Absolute Value of Current Period High - Previous Period Close - Absolute Value of Current Period Low - Previous Period Close - The ATR is then the moving average of these TR values over a specified period, typically 14 periods by default. This ATR value can be used to set the stop-loss at a distance from the entry price that reflects the current market volatility. Swing Low Based: For this method, the stop-loss is set based on the most recent swing low identified in the market structure analysis. This approach uses the lowest point of the recent price action as a reference for setting the stop-loss. Trailing Stop-Loss: The strategy uses structural liquidity and structural invalidation levels across multiple timeframes to adjust the stop-loss once the trade is profitable. This method involves: Detecting Structural Liquidity: After a break of structure, the liquidity levels are updated to the first swing high in a bullish scenario or the first swing low in a bearish scenario. These levels serve as potential areas where the price might find support or resistance, allowing the stop-loss to trail the price movement. Detecting Structural Invalidation: If the price returns to the level of the first swing low before a bullish break of structure or the first swing high before a bearish break of structure, it suggests the trend might be reversing or invalidating, prompting the adjustment of the stop-loss to lock in profits or minimize losses. By using these methods, the strategy dynamically adjusts the initial stop-loss based on market volatility, helping to protect against adverse price movements while allowing for enough room for trades to develop. The ATR-based stop-loss adapts to the current market conditions by considering the volatility, ensuring that the stop-loss is not too tight during volatile periods, which could lead to premature exits, nor too loose during calm markets, which might result in larger losses. Similarly, the swing low based stop-loss provides a logical exit point if the market structure changes unfavorably. Each market behaves differently across various timeframes, and it is essential to test different parameters and optimizations to find out which trailing stop-loss method gives you the desired results and performance. This involves backtesting the strategy with different settings for the ATR period, the distance from the swing low, and how the trailing stop-loss reacts to structural liquidity and invalidation levels. Through this process, you can tailor the strategy to perform optimally in different market environments, ensuring that the stop-loss mechanism supports the trade's longevity while safeguarding against significant drawdowns. What type of break-even and take profit identification methods are used in this strategy? What are the underlying calculations? For Break-Even: Percentage (%) Based: Moves the initial stop-loss to the entry price when the price reaches a certain percentage above the entry. Calculation: Break-even level = Entry Price * (1 + Percentage / 100) Example: If the entry price is $100 and the break-even percentage is 5%, the break-even level is $100 * 1.05 = $105. Risk-to-Reward (RR) Based: Moves the initial stop-loss to the entry price when the price reaches a certain RR ratio. Calculation: Break-even level = Entry Price + (Initial Risk * RR Ratio) For TP - You can choose to set a take profit level at which your position gets fully closed. - Similar to break-even, you can select either a percentage (%) or risk-to-reward (RR) based take profit level, allowing you to set your TP1 level as a percentage amount above the entry price or based on RR. What's the day filter Filter, what does it do? The day filter allows users to customize the session time and choose the specific days they want to include in the strategy session. This helps traders tailor their strategies to particular trading sessions or days of the week when they believe the market conditions are more favorable for their trading style. Customize Session Time: Users can define the start and end times for the trading session. This allows the strategy to only consider trades within the specified time window, focusing on periods of higher market activity or preferred trading hours. Select Days: Users can select which days of the week to include in the strategy. This feature is useful for excluding days with historically lower volatility or unfavorable trading conditions (e.g., Mondays or Fridays). Benefits: Focus on Optimal Trading Periods: By customizing session times and days, traders can focus on periods when the market is more likely to present profitable opportunities. Avoid Unfavorable Conditions: Excluding specific days or times can help avoid trading during periods of low liquidity or high unpredictability, such as major news events or holidays. What tables are available in this script? - Summary: Provides a general overview, displaying key performance parameters such as Net Profit, Profit Factor, Max Drawdown, Average Trade, Closed Trades and more. Total Commission: Displays the cumulative commissions incurred from all trades executed within the selected backtesting window. This value is derived by summing the commission fees for each trade on your chart. Average Commission: Represents the average commission per trade, calculated by dividing the Total Commission by the total number of closed trades. This metric is crucial for assessing the impact of trading costs on overall profitability. Avg Trade: The sum of money gained or lost by the average trade generated by a strategy. Calculated by dividing the Net Profit by the overall number of closed trades. An important value since it must be large enough to cover the commission and slippage costs of trading the strategy and still bring a profit. MaxDD: Displays the largest drawdown of losses, i.e., the maximum possible loss that the strategy could have incurred among all of the trades it has made. This value is calculated separately for every bar that the strategy spends with an open position. Profit Factor: The amount of money a trading strategy made for every unit of money it lost (in the selected currency). This value is calculated by dividing gross profits by gross losses. Avg RR: This is calculated by dividing the average winning trade by the average losing trade. This field is not a very meaningful value by itself because it does not take into account the ratio of the number of winning vs losing trades, and strategies can have different approaches to profitability. A strategy may trade at every possibility in order to capture many small profits, yet have an average losing trade greater than the average winning trade. The higher this value is, the better, but it should be considered together with the percentage of winning trades and the net profit. Winrate: The percentage of winning trades generated by a strategy. Calculated by dividing the number of winning trades by the total number of closed trades generated by a strategy. Percent profitable is not a very reliable measure by itself. A strategy could have many small winning trades, making the percent profitable high with a small average winning trade, or a few big winning trades accounting for a low percent profitable and a big average winning trade. Most mean-reversion successful strategies have a percent profitability of 40-80% but are profitable due to risk management control. BE Trades: Number of break-even trades, excluding commission/slippage. Losing Trades: The total number of losing trades generated by the strategy. Winning Trades: The total number of winning trades generated by the strategy. Total Trades: Total number of taken traders visible your charts. Net Profit: The overall profit or loss (in the selected currency) achieved by the trading strategy in the test period. The value is the sum of all values from the Profit column (on the List of Trades tab), taking into account the sign. - Monthly: Displays performance data on a month-by-month basis, allowing users to analyze performance trends over each month and year. - Weekly: Displays performance data on a week-by-week basis, helping users to understand weekly performance variations. - UI Table: A user-friendly table that allows users to view and save the selected strategy parameters from user inputs. This table enables easy access to key settings and configurations, providing a straightforward solution for saving strategy parameters by simply taking a screenshot with Alt + S or ⌥ + S. User-input styles and customizations: Please note that all background colors in the style are disabled by default to enhance visualization. How to Use This Strategy to Create a Profitable Edge and Systems? Choose Your Strategy mode: - Decide whether you are creating an investing strategy or a trading strategy. Select a Market: - Choose a one-sided market such as stocks, indices, or cryptocurrencies. Historical Data: - Ensure the historical data covers at least 10 years of price action for robust backtesting. Timeframe Selection: - Choose the timeframe you are comfortable trading with. It is strongly recommended to use a timeframe above 15 minutes to minimize the impact of commissions/slippage on your profits. Set Commission and Slippage: - Properly set the commission and slippage in the strategy properties according to your broker/prop firm specifications. Parameter Optimization: - Use trial and error to test different parameters until you find the performance results you are looking for in the summary table or, preferably, through deep backtesting using the strategy tester. Trade Count: - Ensure the number of trades is 200 or more; the higher, the better for statistical significance. Positive Average Trade: - Make sure the average trade is above zero. (An important value since it must be large enough to cover the commission and slippage costs of trading the strategy and still bring a profit.) Performance Metrics: - Look for a high profit factor, and net profit with minimum drawdown. - Ideally, aim for a drawdown under 20-30%, depending on your risk tolerance. Refinement and Optimization: - Try out different markets and timeframes. - Continue working on refining your edge using the available filters and components to further optimize your strategy. What makes this strategy original? Incorporation of Fundamental Analysis: This strategy integrates fundamental analysis by considering key economic indicators such as interest rates, inflation, GDP growth, and unemployment rates. These fundamentals help in assessing the broader economic health, which in turn influences sector performance and market trends. By understanding these economic conditions, the strategy can identify sectors or assets that are likely to thrive, ensuring investments are made in environments conducive to growth. This approach allows for a more informed investment decision, aligning technical entries with fundamentally strong market conditions, thus potentially enhancing the strategy's effectiveness over time. Technical Analysis Without Classical Methods: The strategy's technical analysis diverges from traditional methods like moving averages by focusing on market structure through a trend score system. Instead of using lagging indicators, it employs a real-time analysis of market trends by calculating the ratio of bullish to bearish breakouts. This provides several benefits: Immediate Market Sentiment: The trend score system reacts more dynamically to current market conditions, offering insights into the market's immediate sentiment rather than historical trends, which can often lag behind real-time changes. Reduced Overfitting: By not relying on moving averages or similar classical indicators, the strategy avoids the common pitfall of overfitting to historical data, which can lead to poor performance in new market conditions. The trend score provides a fresh perspective on market direction, potentially leading to more robust trading signals. Clear Entry Signals: With the trend score, entry decisions are based on a clear percentage threshold, making the strategy's decision-making process straightforward and less subjective than interpreting moving average crossovers or similar signals. Regular Contributions and Reminders: The strategy encourages regular investments through a system of predefined frequency and amount, which could be weekly, bi-weekly, monthly, quarterly, or yearly. This systematic approach: Enhances Compounding: Regular contributions leverage the power of compounding, where returns on investments can generate their own returns, potentially leading to exponential growth over time. Reduces Timing Risk: By investing regularly, the strategy minimizes the risk associated with trying to time the market, spreading out the investment cost over time and potentially reducing the impact of volatility. Automated Reminders: The script reminds users to make contributions based on their chosen schedule, ensuring consistency and discipline in investment practices, which is crucial for long-term success. Long-Term Wealth Building: Focused on long-term wealth accumulation, this strategy: Promotes Patience and Discipline: By emphasizing regular contributions and a disciplined approach to both entry and risk management, it aligns with the principles of long-term investing, discouraging impulsive decisions based on short-term market fluctuations. Diversification Across Asset Classes: Operating across crypto, stocks, and commodities, the strategy provides diversification, which is a key component of long-term wealth building, reducing risk through varied exposure. Growth Over Time: The strategy's design to work with the market's natural growth cycles, supported by fundamental analysis, aims for sustainable growth rather than quick profits, aligning with the goals of investors looking to build wealth over decades. This comprehensive approach, combining fundamental insights, innovative technical analysis, disciplined investment habits, and a focus on long-term growth, offers a unique and potentially effective pathway for investors seeking to build wealth steadily over time. Terms and Conditions | Disclaimer Our charting tools are provided for informational and educational purposes only and should not be construed as financial, investment, or trading advice. They are not intended to forecast market movements or offer specific recommendations. Users should understand that past performance does not guarantee future results and should not base financial decisions solely on historical data. Built-in components, features, and functionalities of our charting tools are the intellectual property of @Fractalyst Unauthorized use, reproduction, or distribution of these proprietary elements is prohibited. - By continuing to use our charting tools, the user acknowledges and accepts the Terms and Conditions outlined in this legal disclaimer and agrees to respect our intellectual property rights and comply with all applicable laws and regulations.
Strategia Pine Script®
di Fractalyst