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[Round Numbers] Signal Clean Up Analysis with Backtest (TSO)Round Numbers NEW GEN indicator! =========================================================================== =========================================================================== This is a full-cycle trading system indicator - it will show and alert each step of the trade from open to close. The algorithm here uses Round Numbers for generating signals, TP (Take Profit) and SL (Stop Loss) levels. Round numbers play big role in trading and can easily become strong support and resistance levels where price can bounce and go the opposite way or go through with a very nice run afterwards. In addition there is a chained (NOTE: You can select several or ALL of the features, this is not limited to either one) signal cleanup and analysis approach with scheduling and alerting capabilities. Works with most popular timeframes: 1M, 3M, 5M, 15M, 30M, 1H, 4H, D. NOTE: Every action of the trade is calculated on a confirmed closed candle bar state (barstate.isconfirmed), so the indicator will never repaint! NOTE: At position open - there will be calculated Take-Profit and Stop-Loss targets, however each target is considered hit, when candle bar closes breaking that target, so Take-Profit and Stop-Loss when hit will slightly differ then what you see at trade/position open. =========================================================================== =========================================================================== Round Numbers up|down unit setting and overall explanation --------------------------------------------------------------------------- Round Number up|down unit: is the distance between round numbers on the chart. Since these round number levels are also used by the algorithm to open/close trades, it is important to set this setting to a logical number, which will correspond to an average price movement of the instrument. Here are some examples for a few popular instruments on what will the default 1 round number unit correspond to and what would be suggested: BTCUSD > $1 (this won't work for Bitcoin, try at least $100 - 100units) SPY: > $1 (one of the best settings for SPY or QQQ, 50cents shows good results as well - 0.5units) FOREX (all major pairs): > 10PIPs (that may be a bit small, unless scalping, try 50PIPs - 5units) =========================================================================== =========================================================================== Explanation of all the Features | Strategy Configuration Guide | Indicator Settings | Signal Cleanup Analysis --------------------------------------------------------------------------- >>> Customizable Backtesting for a specific date range, results via TradingView strategy, which includes “Deep Backtesting” for largest amounts of data on trading results. >>> Trading Schedule with customizable trading daily time range, automatic closing/alert trades before Power Hour or right before market closes or leave it open until next day. >>> 3 Trading Systems. >>> Static/Dynamic/Trailing Take-Profit and Stop-Loss setups (HIGHLIGHT: Stop-Loss will be moved to Entry after TP1 is taken or a smart trailing Stop-Loss can be used with Stop-Loss dynamically following the trade to minimize risk). >>> Single or Multiple profit targets (up to 5). >>> Take-Profit customizable offset feature (set your Take-Profit targets slightly before everyone is expecting it!). >>> Candle bar signal analysis (matching candle color, skip opposite structured and/or doji candle uncertain signals). >>> Additional analysis of VWAP/EMA/ATR/EWO (Elliot Wave Oscillator)/Divergence MACD+RSI/Volume signal confirmation (clean up your chart with indicator showing only the best potential signals!). >>> Advanced Alerts setup, which can be potentially setup with a trading bot over TradingView Webhook (NOTE: This will require advanced programming knowledge). =========================================================================== Labels, plots, colors explanations: --------------------------------------------------------------------------- >>>>> LONG open: green "house" looking arrow below candle bar. >>>>> SHORT open: red "house" looking arrow above candle bar. >>>>> LONG/SHORT take-profit target: green/red circles (multi-profit > TP2/3/4/5 smaller circles). >>>>> LONG/SHORT stop-loss target: green/red + crosses. >>>>> LONG/SHORT take-profit hits: green/red diamonds. >>>>> LONG/SHORT stop-loss hits: green/red X-crosses. >>>>> LONG/SHORT EOD (End of Day | Intraday style) close (profitable trade): green/red squares. >>>>> LONG/SHORT EOD (End of Day | Intraday style) close (loss trade): green/red PLUS(+)-crosses. =========================================================================== Date Range and Trading Schedule Settings --------------------------------------------------------------------------- >>>>> Date Range: Select your start and/or end dates (uncheck “End” for indicator to show results up to the very moment and to use for LIVE trading) for backtesting results, if not using backtesting – uncheck “Start”/“End” to turn it off. >>>>> Use TradingView “Strategy Tester” to see backtesting results NOTE: If Strategy Tester does not show any results with Date Ranged fully unchecked, there may be an issue where a script opens a trade, but there is not enough TradingView power to set the Take-Profit and Stop-Loss and somehow an open trade gets stuck and never closes, so there are “no trades present”. In such case you will need to manually check “Start”/“End” dates or use “Depp Backtesting” feature! >>>>> Trading Schedule: This is where you can setup Intraday Session or any custom session schedule you wish. Turn it ON. Select trading hours. Select EOD (End of Day) setting (NOTE: If it will be OFF, the indicator will assume you are holding your position open until next day!). Please note the EOD trade closure times with the 2 different Intraday close settings when turned on: At Market Close: 1/3/5min > will close at 15:55pm ET 15min > will close at 15:45pm ET 30min > will close at 15:30pm ET 45min > will close at 15:45pm ET 60min > will close at 15:00pm ET Before Power Hour: 1/3/5min > will close at 15:00pm ET 15min > will close at 15:00pm ET 30min > will close at 15:00pm ET 45min > will close at 15:00pm ET 60min > will close at 15:00pm ET >>> Trading Systems: 1) "Open Until Closed by TP or SL": the signal will only open a trade if no trades are currently open/trunning, a trade can only be closed by Take Profit, Stop Loss or End of Day close (if turned on) | 2) "Open Until Closed by TP or SL + OCA": Same as 1), but if there is an opposite signal to the trade which is currently open > it will immediately be closed with new trade open or End of Day close (if turned on) | 3) "OCA (no TP or SL)": There are is Take Profit or Stop Loss, only an opposite signal will close current trade and open an opposite one or End of Day close (if turned on). >>> Turn On/Off: Current Position SL + Opposite Position Open Signal on the same closing candle bar (If current trade hits Stop-Loss and at that same closing candle bar there is a signal for an opposite direction trade > indicator will close current position as Stop-Loss and immediately open an opposite position). NOTE: With this option turned on, there will be more trades, but not necessarily better results, since after Stop-Loss is hit, it may make sense to wait a little before opening an opposite trade, even if it matches the condition at the same time when Stop-Loss is hit, but sometimes it shows great results, so this setting/feature is included. NOTE: This setting only will work/make sense with TP and SL style/behavior both be set to "Fully Closed Candle"! >>> Turn On/Off: Turn On/Off: Current Position REGULAR SL | Only the SL + Opposite Position Open will trigger if turned on, IF NOT - THERE WILL BE NO STOP-LOSS AT ALL!!! NOTE: It is very dangerous to trade without Stop-Loss! >>>>> Signal Candle Bar consuming Take-Profits - position/trade signal candle bar is big enough to "consume"/close ahead the first TP setting > the signal can either be skipped, or all Take-Profit areas pushed ahead using smart formula) >>>>> MULTIPROFIT | TP (Take-Profit) System: 1) Static – Once the trade is open, all Take-Profit target(s) are immediately calculated and set for the trade > once the target(s) is hit > trade will be partially closed (if candle bar closes beyond several Take-Profit targets > trade will be reduced accordingly to the amount of how many Take-Profit targets were hit) ||| 2) Dynamic – Once the trade is open, only the 1st Take-Profit target is calculated, once the 1st Take-Profit is hit > next Take-Profit distance is calculated based on the distance from trade Entry to where 1st Take-Profit was taken, once 2nd Take-Profit is taken > 3rd Take-Profit is calculated per same logic, these are good for price momentum as with price speeding up – profits increase as well! >>>>> MULTIPROFIT: SL (stop loss) System | Static: SL is set at position open and remains such; Dynamic: Once ANY TP is taken > SL will be moved to Entry; Trailing: SL will be moved along the position (smart trailing stop-loss), at TP1 taken > SL moves to Entry, at TP2 taken > SL moves to TP1, at TP3 taken > SL moves to TP2 and so on. >>>>> # of TPs (number of take profit targets): Just like it is named, this is where you select the number of Take-Profit targets for your trading system (NOTE: If "OCA (no TP or SL)" Trading System is selected, this setting won’t do anything, since there are no TP or SLs for that system). >>>>> TP(s) offset: This is a special feature for all Take-Profit targets, where you can turn on a customizable offset, so that if the price is almost hitting the Take-Profit target, but never actually touches it > you will capture it. This is good to use with HHLL (Highest High Lowest Low), which is pretty much a Support/Resistance as often the price will nearly touch these strong areas and turn around… =========================================================================== Dynamic/Static/Trailing Take-Profit and Stop-Loss visual examples: --------------------------------------------------------------------------- 1) Fully Static Take-Profit and Stop-Loss This one is a fully static setup for both Take-Profit and Stop-Loss, you can also observe how trade is closed right before the Power Hour (trade can be closed right before Power Hour or right before Market Closes or left overnight as desired). 2) Static/Dynamic, Static Take-Profit and Dynamic Stop-Loss You can see a static Take-Profit set at position open, while Stop-Loss moves to Entry once TP1 target is taken. 3) Static/Trailing, Static Take-Profit and Trailing Stop-Loss In here with each Take-Profit taken, Stop-Loss moves along the trade to previous Take-Profit level, you can notice how stop-loss literally follows the trade and reduces the potential loss. 4) Dynamic/Trailing, Dynamic Take-Profit and Trailing Stop-Loss See how Take-Profit distances increase with price momentum. Just like in previous example - Trailing Stop-Loss is following the trade and reducing the riks. =========================================================================== Signal Analysis and Cleanup Settings --------------------------------------------------------------------------- >>>>> Candle Analysis | Candle Color signal confirmation: If closed candle bar color does not match the signal direction > no trade will be open. >>>>> Candle Analysis | Skip opposite candle signals: If closed candle bar color will match the signal direction, but candle structure will be opposite (for example: bearish green hammer, long high stick on top of a small green square) > no trade will be open. >>>>> Candle Analysis | Skip doji candle signals: If closed candle bar will be the uncertain doji > no trade will be open. >>>>> Divergence/Oscillator Analysis | EWO (Elliot Wave Oscillator) signal confirmation: LONG will only be open if at signal, EWO is green or will be at bullish slope (you can select which setting you desire), SHORT if EWO is red or will be at bearish slope. >>>>> Divergence/Oscillator Analysis | VWAP signal confirmation: LONG will only be open if at signal, the price will be above VWAP, SHORT if below. >>>>> Divergence/Oscillator Analysis | Moving Average signal confirmation: LONG will only be open if at signal, the price will be above selected Moving Average, SHORT if below. >>>>> Divergence/Oscillator Analysis | ATR signal confirmation: LONG will only be open if at signal, the price will be above ATR, SHORT if below. >>>>> Divergence/Oscillator Analysis | RSI + MACD signal confirmation: LONG will only be open if at signal, RSI + MACD will be bullish, SHORT if RSI + MACD will be bearish. >>>>> Volume signal confirmation: LONG/SHORT will only be opened with strong Volume matching the signal direction, by default, strong Volume percentage is set to 150% and weak to 50%, but you can change it as you desire. =========================================================================== ||||||||||||||||||||||||||||||||||| *** ||||||||||||||||||||||||||||||||||| *** ||||||||||||||||||||||||||||||||||| ||||||||||||||||||||||||||||||||||| *** ||||||||||||||||||||||||||||||||||| *** ||||||||||||||||||||||||||||||||||| TP System - VERY IMPORTANT INFO! ------------------------------------------------------------------------------------------------------------------- "TP PERCENTAGE" - amount by which current trade/position needs to be reduced/partially closed/sold. ------------------------------------------------------------------------------------------------------------------- TP System: Dynamic "TP PERCENTAGE" - will always be the same amount (trade/position size divided by the # of take-profit(TP) targets) and percentage to be closed will always be of the ORIGINAL trade/position. ------------------------------------------------------------------------------------------------------------------- TP System: Static "TP PERCENTAGE" - will always be the same amount IF take-profit(TP) targets are hit 1-by-1 (TP1 > TP2 > TP3 > TP4 > TP5), otherwise it will vary and unless it is a 1st take-profit(TP1), the REMAINING trade/position size will always be smaller than original and therefore the percentage to be closed will always be of the REMAINING trade/position and NOT the original one! ------------------------------------------------------------------------------------------------------------------- "TP PERCENTAGE" CheatSheet (these are the only percentages you may see) ----------------------------------------------------------------------- TP PERCENTAGE---Close/Sell Amount-------------Example (trade size: 50 stocks) 20%-------------trade size * 0.2--------------50 * 0.2 = 10 stocks 25%-------------trade size * 0.25-------------50 * 0.25 = 12.5(~13) stocks 34%-------------trade size * 0.34-------------50 * 0.34 = 17 stocks 40%-------------trade size * 0.4--------------50 * 0.4 = 20 stocks 50%-------------trade size * 0.5--------------50 * 0.5 = 25 stocks 60%-------------trade size * 0.6--------------50 * 0.6 = 30 stocks 66%-------------trade size * 0.66-------------50 * 0.66 = 33 stocks 75%-------------trade size * 0.75-------------50 * 0.75 = 37.5(~38) stocks 80%-------------trade size * 0.8--------------50 * 0.8 = 40 stocks 100%------------trade size--------------------50 = 50 stocks ----------------------------------------------------------------------- If for any reason a portion of the current/remaining trade closed at such occurrence was slightly wrong, it is not an issue. Such occurrences are rare and with slight difference in partial TP closed is not significant to overall performance of our algorithms. ||||||||||||||||||||||||||||||||||| *** ||||||||||||||||||||||||||||||||||| *** ||||||||||||||||||||||||||||||||||| ||||||||||||||||||||||||||||||||||| *** ||||||||||||||||||||||||||||||||||| *** ||||||||||||||||||||||||||||||||||| Alert Settings (you don’t have to touch this section unless you will be using TradingView alerts through a Webhook to use with trading bot) --------------------------------------------------------------------------- Here is how a LONG OPEN alert looks like. NOTE: Each label , , etc. is customizable, you can change the text of it within indicator Input settings. ALERT >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> COIN: BTCUSD TIMEFRAME: 15M LONG: OPEN ENTRY: 20000 TP1: 20500 TP2: 21000 TP3: 21500 TP4: 22500 TP5: 23500 SL: 19000 Leverage: 0 --------------------------------------------------------------------------- Here is how a TP1 alert will look with 5 TPs breakdown of the trade. NOTE1: Next to TP1 taken it will show at which price it was triggered. NOTE2: Next to "TP Percentage" it shows how much of the CURRENT/ACTIVE/REMAINING trade needs to be closed. NOTE2: If TP2/3/4/5 comes before TP1 - the alert will tell you exactly how many percent of the trade needs to be closed! ALERT >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> COIN: BTCUSD TIMEFRAME: 15M LONG: TP1 TP1: 20500 TP Percentage: 20% --------------------------------------------------------------------------- Here is how an alert will look for LONG - STOP-LOSS. ALERT >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> COIN: BTCUSD TIMEFRAME: 15M ENTRY: 20000 LONG: SL SL: 19000 --------------------------------------------------------------------------- Here is how an alert will look for LONG - EOD (End of Day) In Profit close. ALERT >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> COIN: BTCUSD TIMEFRAME: 15M LONG: EOD-Close (profit) ENTRY: 20000 EOD-Close: 21900 =========================================================================== Adding Alerts in TradngView --------------------------------------------------------------------------- -Add indicator to chart and make sure the correct strategy is configured (check Backtesting results) -Right-click anywhere on the TradingView chart -Click on Add alert -Condition: Select this indicator by it’s name -Immediately below, change it to "alert() function calls only", as other wise there will be 2 alerts for every alert! -Expiration: Open-ended (that may require higher tier TradingView account, otherwise the alert will need to be occasionally re-triggered) -Alert name: Whatever you desire -Hit “Create” -Note: If you change ANY Settings within the indicator – you must DELETE the current alert and create a new one per steps above, otherwise it will continue triggering alerts per old Settings! =========================================================================== If you have any questions or issues with the indicator, please message me directly via TradingView. --------------------------------------------------------------------------- Good Luck! (NOTE: Trading is very risky, past performance is not necessarily indicative of future results, so please trade responsibly!) --------------------------------------------------------------------------- NOTE: There seems to be a strange glitch when strategy is running live, it will show "double-take" take-profits labels on the chart. This is not affecting the script logic and backtesting results, if you simply change the timeframe real quick to something else then back - it will no longer show the duplicate orders... this must be some sort of a glitch as every alert was thoroughly tested to make sure everything is working!
Estratégia Pine Script®
por tso_trade
5
Risk Management and Positionsize - MACD exampleMastering Risk Management Risk management is the cornerstone of successful trading, and it's often the difference between turning a profit and suffering a loss. In light of its importance, I share a risk management tool which you can use for your trading strategies. The script not only assists in position sizing but also comes with built-in technical features that help in market timing. Let's delve into the nitty-gritty details. Input Parameter: MarginFactor One of the key features of the script is the MarginFactor input parameter. This element lets you control the portion of your equity used for placing each trade. A MarginFactor of -0.5 means 50% of your total equity will be deployed in placing the position size. Although Tradingview has a built-in option to adjust position sizing in a same way, I personally prefer to have the logic in my pinecode script. The main reason is userexperience in managing and testing different settings for different charts, timeframes and instruments (with the same strategy). Stoploss and MarginFactor If your strategy has a 4% stop-loss, you can choose to use only 50% of your equity by setting the MarginFactor to -0.5. In this case, you are effectively risking only 2% of your total capital per trade, which aligns well with the widely-accepted rule of thumb suggesting a 1-2% risk per trade. Similar if your stoploss is only 1% you can choose to change the MarginFactor to 1, resulting in a positionsize of 200% of your equity. The total risk would be again 2% per trade if your stoploss is set to 1%. Max Drawdown and MarginFactor Your MarginFactor setting can also be aligned with the maximum drawdown of your strategy, seen during a backtested period of 2-3 years. For example, if the max drawdown is 15%, you could calibrate your MarginFactor accordingly to limit your risk exposure. Option to Toggle Number of Contracts The script offers the option to toggle between using a percentage of equity for position sizing or specifying a fixed number of contracts. Utilizing a percentage of equity might yield unrealistic backtest results, especially over longer periods. This occurs because as the capital grows, the absolute position size also increases, potentially inflating the accumulated returns generated by the backtester. On the other hand, setting a fixed number of contracts as your position size offers a more stable and realistic ROI over the backtested period, as it removes the compounding effect on position sizes. Key Features Strategy MACD High Time Frame Entry and Exit Logic The strategy employs a high time frame MACD (Moving Average Convergence Divergence) to make entry and exit decisions. You can easily adjust the timeframe settings and MACD settings in the inputsection to trade on lower timeframes. For more information on the HTF MACD with dynamic smoothing see: Moving Average High Time Frame Filter To reduce market 'noise', the strategy incorporates a high time frame moving average filter. This ensures that the trades are aligned with the dominant market trend (trading the trend). In the inputsection traders can easily switch between different type of moving averages. For more information about this HTF filter see: Dynamic Smoothing The script includes a feature for dynamic smoothing. The script contains The timeframeToMinutes(tf) function to convert any given time frame into its equivalent in minutes. For example, a daily (D) time frame is converted into 1440 minutes, a weekly (W) into 10,080 minutes, and so forth. Next the smoothing factor is calculated by dividing the minutes of the higher time frame by those of the current time frame. Finally, the script applies a Simple Moving Average (SMA) over the MACD, SIGNAL, and HIST values, MA filter using the dynamically calculated smoothing factor. User Convenience: One of the major benefits is that traders don't need to manually adjust the smoothing factor when switching between different time frames. The script does this dynamically. Visual Consistency: Dynamic smoothing helps traders to more accurately visualize and interpret HTF indicators when trading on lower time frames. Time Frame Restriction: It's crucial to note that the operational time frame should always be lower than the time frame selected in the input sections for dynamic smoothing to function as intended. By incorporating this dynamic smoothing logic, the script offers traders a nuanced yet straightforward way to adapt High Time Frame indicators for lower time frame trading, enhancing both adaptability and user experience. Limitations: Exit Strategy It's crucial to note that the script comes with a simplified exit strategy, devoid of features like a stop-loss, trailing stop-loss or multiple take profits. This means that while the script focuses on entries and risk management, it might result in higher losses if market conditions unexpectedly turn unfavorable. Conclusion Effective risk management is pivotal for trading success, and this TradingView script is designed to give you a better idea how to implement positions sizing with your preferred strategy. However, it's essential to note that this tool should not be considered financial advice. Always perform your due diligence and consult with financial advisors before making any trading decisions. Feel free to use this risk management tool as building block in your trading scripts, Happy Trading!
Estratégia Pine Script®
por Harrocop
4
Unlock the Power of Seasonality: Monthly Performance StrategyThe Monthly Performance Strategy leverages the power of seasonality—those cyclical patterns that emerge in financial markets at specific times of the year. From tax deadlines to industry-specific events and global holidays, historical data shows that certain months can offer strong opportunities for trading. This strategy was designed to help traders capture those opportunities and take advantage of recurring market patterns through an automated and highly customizable approach. The Inspiration Behind the Strategy: This strategy began with the idea that market performance is often influenced by seasonal factors. Historically, certain months outperform others due to a variety of reasons, like earnings reports, holiday shopping, or fiscal year-end events. By identifying these periods, traders can better time their market entries and exits, giving them an advantage over those who solely rely on technical indicators or news events. The Monthly Performance Strategy was built to take this concept and automate it. Instead of manually analyzing market data for each month, this strategy enables you to select which months you want to focus on and then executes trades based on predefined rules, saving you time and optimizing the performance of your trades. Key Features: Customizable Month Selection: The strategy allows traders to choose specific months to test or trade on. You can select any combination of months—for example, January, July, and December—to focus on based on historical trends. Whether you’re targeting the historically strong months like December (often driven by the 'Santa Rally') or analyzing quieter months for low volatility trades, this strategy gives you full control. Automated Monthly Entries and Exits: The strategy automatically enters a long position on the first day of your selected month(s) and exits the trade at the beginning of the next month. This makes it perfect for traders who want to benefit from seasonal patterns without manually monitoring the market. It ensures precision in entering and exiting trades based on pre-set timeframes. Re-entry on Stop Loss or Take Profit: One of the standout features of this strategy is its ability to re-enter a trade if a position hits the stop loss (SL) or take profit (TP) level during the selected month. If your trade reaches either a SL or TP before the month ends, the strategy will automatically re-enter a new trade the next trading day. This feature ensures that you capture multiple trading opportunities within the same month, instead of exiting entirely after a successful or unsuccessful trade. Essentially, it keeps your capital working for you throughout the entire month, not just when conditions align perfectly at the beginning. Built-in Risk Management: Risk management is a vital part of this strategy. It incorporates an Average True Range (ATR)-based stop loss and take profit system. The ATR helps set dynamic levels based on the market’s volatility, ensuring that your stops and targets adjust to changing market conditions. This not only helps limit potential losses but also maximizes profit potential by adapting to market behavior. Historical Performance Testing: You can backtest this strategy on any period by setting the start year. This allows traders to analyze past market data and optimize their strategy based on historical performance. You can fine-tune which months to trade based on years of data, helping you identify trends and patterns that provide the best trading results. Versatility Across Asset Classes: While this strategy can be particularly effective for stock market indices and sector rotation, it’s versatile enough to apply to other asset classes like forex, commodities, and even cryptocurrencies. Each asset class may exhibit different seasonal behaviors, allowing you to explore opportunities across various markets with this strategy. How It Works: The trader selects which months to test or trade, for example, January, April, and October. The strategy will automatically open a long position on the first trading day of each selected month. If the trade hits either the take profit or stop loss within the month, the strategy will close the current position and re-enter a new trade on the next trading day, provided the month has not yet ended. This ensures that the strategy continues to capture any potential gains throughout the month, rather than stopping after one successful trade. At the start of the next month, the position is closed, and if the next month is also selected, a new trade is initiated following the same process. Risk Management and Dynamic Adjustments: Incorporating risk management with this strategy is as easy as turning on the ATR-based system. The strategy will automatically calculate stop loss and take profit levels based on the market’s current volatility, adjusting dynamically to the conditions. This ensures that the risk is controlled while allowing for flexibility in capturing profits during both high and low volatility periods. Maximizing the Seasonal Edge: By automating entries and exits based on specific months and combining that with dynamic risk management, the Ultimate Monthly Performance Strategy takes advantage of seasonal patterns without requiring constant monitoring. The added re-entry feature after hitting a stop loss or take profit ensures that you are always in the game, maximizing your chances to capture profitable trades during favorable seasonal periods. Who Can Benefit from This Strategy? This strategy is perfect for traders who: Want to exploit the predictable, recurring patterns that occur during specific months of the year. Prefer a hands-off, automated trading approach that allows them to focus on other aspects of their portfolio or life. Seek to manage risk effectively with ATR-based stop losses and take profits that adjust to market conditions. Appreciate the ability to re-enter trades when a take profit or stop loss is hit within the month, ensuring that they don't miss out on multiple opportunities during a favorable period. In summary, the Ultimate Monthly Performance Strategy provides traders with a comprehensive tool to capitalize on seasonal trends, optimize their trading opportunities throughout the year, and manage risk effectively. The built-in re-entry system ensures you continue to benefit from the market even after hitting targets within the same month, making it a robust strategy for traders looking to maximize their edge in any market. Risk Disclaimer: Trading financial markets involves significant risk and may not be suitable for all investors. The Monthly Performance Strategy is designed to help traders identify seasonal trends, but past performance does not guarantee future results. It is important to carefully consider your risk tolerance, financial situation, and trading goals before using any strategy. Always use appropriate risk management and consult with a professional financial advisor if necessary. The use of this strategy does not eliminate the risk of losses, and traders should be prepared for the possibility of losing their entire investment. Be sure to test the strategy on a demo account before applying it in live markets.
Estratégia Pine Script®
por exlux
2
Elliott Wave with Supertrend Exit - Strategy [presentTrading]## Introduction and How it is Different The Elliott Wave with Supertrend Exit provides automated detection and validation of Elliott Wave patterns for algorithmic trading. It is designed to objectively identify high-probability wave formations and signal entries based on confirmed impulsive and corrective patterns. * The Elliott part is mostly referenced from Elliott Wave by @LuxAlgo Key advantages compared to discretionary Elliott Wave analysis: - Wave Labeling and Counting: The strategy programmatically identifies swing pivot highs/lows with the Zigzag indicator and analyzes the waves between them. It labels the potential impulsive and corrective patterns as they form. This removes the subjectivity of manual wave counting. - Pattern Validation: A rules-based engine confirms valid impulsive and corrective patterns by checking relative size relationships and fib ratios. Only confirmed wave counts are plotted and traded. - Objective Entry Signals: Trades are entered systematically on the start of new impulsive waves in the direction of the trend. Pattern failures invalidate setups and stop out positions. - Automated Trade Management: The strategy defines specific rules for profit targets at fib extensions, trailing stops at swing points, and exits on Supertrend reversals. This automates the entire trade lifecycle. - Adaptability: The waveform recognition engine can be tuned by adjusting parameters like Zigzag depth and Supertrend settings. It adapts to evolving market conditions. ETH 1hr chart In summary, the strategy brings automation, objectivity and adaptability to Elliott Wave trading - removing subjective interpretation errors and emotional trading biases. It implements a rules-based, algorithmic approach for systematically trading Elliott Wave patterns across markets and timeframes. ## Trading Logic and Rules The strategy follows specific trading rules based on the detected and validated Elliott Wave patterns. Entry Rules - Long entry when a new impulsive bullish (5-wave) pattern forms - Short entry when a new impulsive bearish (5-wave) pattern forms The key is entering on the start of a new potential trend wave rather than chasing. Exit Rules - Invalidation of wave pattern stops out the trade - Close long trades on Supertrend downturn - Close short trades on Supertrend upturn - Use a stop loss of 10% of entry price (configurable) Trade Management - Scale out partial profits at Fibonacci levels - Move stop to breakeven when price reaches 1.618 extension - Trail stops below key swing points - Target exits at next Fibonacci projection level Risk Management - Use stop losses on all trades - Trade only highest probability setups - Size positions according to chart timeframe - Avoid overtrading when no clear patterns emerge ## Strategy - How it Works The core logic follows these steps: 1. Find swing highs/lows with Zigzag indicator 2. Analyze pivot points to detect impulsive 5-wave patterns: - Waves 1, 3, and 5 should not overlap - Waves 3 and 5 must be longer than wave 1 - Confirm relative size relationships between waves 3. Validate corrective 3-wave patterns: - Look for overlapping, choppy waves that retrace the prior impulsive wave 4. Plot validated waves and Fibonacci retracement levels 5. Signal entries when a new impulsive wave pattern forms 6. Manage exits based on pattern failures and Supertrend reversals Impulsive Wave Validation The strategy checks relative size relationships to confirm valid impulsive waves. For uptrends, it ensures: ``` Copy code- Wave 3 is longer than wave 1 - Wave 5 is longer than wave 2 - Waves do not overlap ``` Corrective Wave Validation The strategy identifies overlapping corrective patterns that retrace the prior impulsive wave within Fibonacci levels. Pattern Failure Invalidation If waves fail validation tests, the strategy invalidates the pattern and stops signaling trades. ## Trade Direction The strategy detects impulsive and corrective patterns in both uptrends and downtrends. Entries are signaled in the direction of the validated wave pattern. ## Usage - Use on charts showing clear Elliott Wave patterns - Start with daily or weekly timeframes to gauge overall trend - Optimize Zigzag and Supertrend settings as needed - Consider combining with other indicators for confirmation ## Default Settings - Zigzag Length: 4 bars - Supertrend Length: 10 bars - Supertrend Multiplier: 3 - Stop Loss: 10% of entry price - Trading Direction: Both
Estratégia Pine Script®
por PresentTrading
9
[Volume Profile] Signal Clean Up Analysis with Backtest (TSO) This is a full-cycle trading system indicator, which uses Volume Profile for generating signals using a custom developed algorithm, TP (Take Profit) and SL (Stop Loss) levels. There are 2 SOURCES for signals (each can be used separately or both can be used at the same time, each signal SOURCE is using Volume Profile levels to open optimal trade direction) with chained (NOTE: You can select several or ALL of the features, this is not limited to either one) signal cleanup and analysis approach with scheduling and alerting capabilities. Works with most popular timeframes: 1M, 5M, 15M, 1H, 4H, D, great for intraday trading! NOTE: Every calculation is done on a confirmed closed candle bar state, so the indicator will never repaint! =========================================================================== Explanation of all the Features | Configuration Guide | Indicator Settings | Signal Cleanup Analysis --------------------------------------------------------------------------- >>> Customizable Backtesting for a specific date range, results via TradingView strategy, which includes “Deep Backtesting” for largest amounts of data on trading results. >>> Trading Schedule with customizable trading daily time range, automatic closing/alert trades before Power Hour or right before market closes or leave it open until next day. >>> 3 Trading Systems. >>> Multiple Signal SOURCEs for opening trades, either SOURCE can be used or both at the same time! >>> Static/Dynamic Stop-Loss setups (HIGHLIGHT: Stop-Loss will be moved to Entry after TP1 is taken, which minimizes risk). >>> Single or Multiple profit targets (up to 3). >>> Take-Profit customizable offset feature (set your Take-Profit targets slightly before everyone is expecting it!). >>> Candle bar signal analysis (matching candle color, skip opposite structured and/or doji candle uncertain signals). >>> Additional analysis of VWAP/EMA/ATR/EWO (Elliot Wave Oscillator)/Divergence MACD+RSI/Volume signal confirmation (clean up your chart with indicator showing only the best potential signals!). >>> Advanced Alerts setup, which can be potentially setup with a trading bot over TradingView Webhook (NOTE: This will require advanced programming knowledge). =========================================================================== Labels, plots, colors explanations: --------------------------------------------------------------------------- >>>>> Signal SOURCE(s): Green/Red arrows, which will be shown unconditionally, outside of trade engine and can be hidden if desired. >>>>> LONG open: green "house" looking arrow below candle bar. >>>>> SHORT open: red "house" looking arrow above candle bar. >>>>> LONG/SHORT take-profit target: green/red circles (multi-profit > TP2/3/4/5 smaller circles). >>>>> LONG/SHORT take-profit hits: green/red diamonds. >>>>> LONG/SHORT stop-loss target: green/red + crosses. >>>>> LONG/SHORT stop-loss hits: green/red X-crosses. >>>>> LONG/SHORT EOD close (profitable trade): green/red squares. >>>>> LONG/SHORT EOD close (loss trade): green/red PLUS(+)-crosses. =========================================================================== Date Range and Trading Schedule Settings --------------------------------------------------------------------------- >>>>> Date Range: Select your start and/or end dates (uncheck “End” for indicator to show results up to the very moment and to use for LIVE trading) for backtesting results, if not using backtesting – uncheck “Start”/“End” to turn it off. >>>>> Use TradingView “Strategy Tester” to see backtesting results NOTE: If Strategy Tester does not show any results with Date Ranged fully unchecked, there may be an issue where a script opens a trade, but there is not enough TradingView power to set the Take-Profit and Stop-Loss and somehow an open trade gets stuck and never closes, so there are “no trades present”. In such case you will need to manually check “Start”/“End” dates or use “Depp Backtesting” feature! >>>>> Trading Schedule: This is where you can setup Intraday Session or any custom session schedule you wish. Turn it ON. Select trading hours. Select EOD (End of Day) setting (NOTE: If it will be OFF, the indicator will assume you are holding your position open until next day!). >>> Trading Systems: 1) "Open Until Closed by TP or SL": the signal will only open a trade if no trades are currently open/trunning, a trade can only be closed by Take Profit, Stop Loss or End of Day close (if turned on) | 2) "Open Until Closed by TP or SL + OCA": Same as 1), but if there is an opposite signal to the trade which is currently open > it will immediately be closed with new trade open or End of Day close (if turned on) | 3) "OCA (no TP or SL)": There are is Take Profit or Stop Loss, only an opposite signal will close current trade and open an opposite one or End of Day close (if turned on) >>>>> MULTIPROFIT | TP (Take-Profit) System: Once the trade is open, all Take-Profit target(s) are immediately calculated and set for the trade > once the target(s) is hit > trade will be partially closed (if candle bar closes beyond several Take-Profit targets > trade will be reduced accordingly to the amount of how many Take-Profit targets were hit) >>>>> MULTIPROFIT | SL (Stop-Loss) System: 1) Static – Once the trade is open, Stop-Loss is calculated and set for the remaining of the trade ||| 2) Dynamic – At trade open, Stop-Loss is calculated and set the same way, however once 1st Take-Profit is taken > Stop-Loss is moved to Entry, reducing the risk. >>>>> # of TPs (number of take profit targets): Just like it is named, this is where you select the number of Take-Profit targets for your trading system (NOTE: If "OCA (no TP or SL)" Trading System is selected, this setting won’t do anything, since there are no TP or SLs for that system). >>>>> TP(s) offset: This is a special feature for all Take-Profit targets, where you can turn on a customizable offset, so that if the price is almost hitting the Take-Profit target, but never actually touches it > you will capture it. This is good to use with HHLL (Highest High Lowest Low), which is pretty much a Support/Resistance as often the price will nearly touch these strong areas and turn around… =========================================================================== Take-Profit and Stop-Loss visual example: --------------------------------------------------------------------------- 1) A simply nice intraday trading day for SPY (S&P500 ETF TRUST) with a single Take-Profit target on each trade. See how Take-Profit distances increase with price momentum and how Stop-Loss is following the trade reducing the risk! 2) Same intraday trading day for SPY (S&P500 ETF TRUST) with 3 Take-Profit targets with static Stop-Loss. 3) Same intraday trading day for SPY (S&P500 ETF TRUST) with 3 Take-Profit targets with dynamic Stop-Loss. You can see how Stop-Loss was moved once TP1 is taken! =========================================================================== Trade Analysis and Cleanup Settings --------------------------------------------------------------------------- >>>>> Candle Analysis | Candle Color signal confirmation: If closed candle bar color does not match the signal direction > no trade will be open. >>>>> Candle Analysis | Skip opposite candle signals: If closed candle bar color will match the signal direction, but candle structure will be opposite (for example: bearish green hammer, long high stick on top of a small green square) > no trade will be open. >>>>> Candle Analysis | Skip doji candle signals: If closed candle bar will be the uncertain doji > no trade will be open. >>>>> Divergence/Oscillator Analysis | EWO (Elliot Wave Oscillator) signal confirmation: LONG will only be open if at signal, EWO is green or will be at bullish slope (you can select which setting you desire), SHORT if EWO is red or will be at bearish slope. >>>>> Divergence/Oscillator Analysis | VWAP signal confirmation: LONG will only be open if at signal, the price will be above VWAP, SHORT if below. >>>>> Divergence/Oscillator Analysis | Moving Average signal confirmation: LONG will only be open if at signal, the price will be above selected Moving Average, SHORT if below. >>>>> Divergence/Oscillator Analysis | ATR signal confirmation: LONG will only be open if at signal, the price will be above ATR, SHORT if below. >>>>> Divergence/Oscillator Analysis | RSI + MACD signal confirmation: LONG will only be open if at signal, RSI + MACD will be bullish, SHORT if RSI + MACD will be bearish. >>>>> Volume signal confirmation: LONG/SHORT will only be open if closing candle volume is 150% above average Volume based on the Volume Length. =========================================================================== Alert Settings (you don’t have to touch this section unless you will be using TradingView alerts through a Webhook to use with trading bot) --------------------------------------------------------------------------- Here is how a LONG OPEN alert looks like (each label is customizable + I can add up more items/labels if needed): COIN: BTCUSD TIMEFRAME: 15M LONG: OPEN ENTRY: 20000 TP1: 20500 TP2: 21000 TP3: 21500 SL: 19000 Leverage: 0 =========================================================================== Adding Alerts in TradngView --------------------------------------------------------------------------- -Right-click anywhere on the TradingView chart -Click on Add alert -Condition: Select this indicator by it’s name -Alert name: Whatever you want -Hit “Create” -Note: If you change ANY Settings within the indicator – you must DELETE the current alert and create a new one per steps above, otherwise it will continue triggering alerts per old Settings! =========================================================================== If you have any questions or issues with the indicator, please message me directly via TradingView. --------------------------------------------------------------------------- Good Luck! (NOTE: Trading is very risky, past performance is not necessarily indicative of future results, so please trade responsibly!)
Estratégia Pine Script®
por tso_trade
3
Kioseff Trading - AI-Powered Strategy Optimizer Introducing the Kioseff Trading AI-Powered Strategy Optimizer Optimize and build your trading strategy with ease, no matter your experience level. The Kioseff Trading AI-Powered Strategy Optimizer allows traders to efficiently test and refine strategies with thousands of different profit targets and stop loss settings. Integrated with TradingView's backtester, this tool simplifies strategy optimization, strategy testing, and alert setting, enabling you to enhance your strategy with AI-driven insights. Key Features: Comprehensive Testing : Simultaneously test thousands of profit targets and stop losses to fine-tune your strategy. Dual Strategy Optimization : Adjust and optimize both long and short strategies for balanced performance. AI Integration : Elevate your strategy with heuristic-based adaptive learning, turning it into a smart, AI-assisted system. Detailed Analysis : View critical metrics like profit factor, win rate, max drawdown, and equity curve, presented in a strategy script format. Customizable Alerts : Set alerts for the best version of your strategy. Flexible Risk Management : Optimize various stop loss types, including profit targets, limit orders, OCO orders, trailing stops, and fixed stops. Targeted Goals : Choose optimization goals like highest win rate, maximum net profit, or most efficient profit. Indicator Compatibility : Integrate any strategy/indicator, whether it’s your creation, a favorite author’s, or any public TradingView indicator. Accessible Design : Navigate a user-friendly interface suitable for traders of all skill levels. No code required. Precision Lock-In : “Lock” your optimal profit target or stop loss to drill down into precision testing of other variables. How it works It's important to remember that merely having the AI-Powered Strategy Optimizer on your chart doesn't automatically provide you with the best strategy. You need to follow the AI's guidance through an iterative process to discover the optimal settings for your strategy. The Trading Strategy Optimizer is a versatile tool tailored for both non-coding traders and seasoned algorithmic trading professionals. Let's start with no-code-required instructions on how to use the optimizer. Instructions: How To Optimize Your Strategy Without Code 1. Build your strategy in the settings The image above shows explanations for each key setting. Note: This example uses the RSI indicator to initiate a long trade whenever it dips below the 30 mark. Ensure that the indicator you wish to optimize is already applied to your chart . This enables the Trading Strategy Optimizer to interact with the indicator and finetune profit targets and stop losses effectively. Because the indicator is plotted on the chart I can access the indicator with the Trading Strategy Optimizer and optimize profit targets and stop losses for it. 2. Leverage AI Recommendations Optimization Prompt: After you load your strategy, the tool advises you on new TP and SL levels that could be more profitable. When your strategy is set, the tool gives you tips for where to set your profit goal (TP) and your stop loss to help you optimize your strategy. It'll tell you if there's a better range for these settings based on past results. Follow Suggestions: Keep updating your TP and SL according to the tool's suggestions until it says "Best Found". Final Result: The last image shows the best settings found by the indicator. (Optional Step 3) 3. Lock the profit target or stop loss to further fine tune your strategy Continue following the AI’s suggestion until “Best Found” is displayed. Note: you can select lock either your stop loss or profit target for fine tuning. For this demonstration we will lock our profit target. Code-Required Instructions (Optional) You can backtest more code-intensive strategies, such as harmonic patterns, traditional chart patterns, candlestick patterns, Elliot wave, etc., by coding the entry condition in your own script and loading it into the Trading Strategy Optimizer. Let's dial in on how to achieve this! 1. You must create an integer variable in your script with an initial value of "0". 2. Define your entry condition in the code. Once complete, assign the value "1" to the variable you created if the entry condition is fulfilled. 3. Plot your variable. 4. Select the plotted variable in the settings for the Trading Strategy Optimizer The image above shows a coded entry condition for the linear regression channel (which can be any indicator). When price crosses under and closes below the lower line our variable "strategyEntryVariable" is assigned the value "1". The Trading Strategy Optimizer will treat this change in value from "0" to "1" as an entry signal and enter long/short up to 1000 times at the price where the entry condition was fulfilled. 5. Test Your Strategy The image above shows the completion of the process! Keep applying the steps we described. Stick with the AI's recommendations until you see “Best Found” show up. By following these instructions, you can build, test, and optimize almost any trading indicator or strategy! So, just note that the Trading Strategy Optimizer considers a change in value of a plotted variable from "0" to "1" as an entry signal! So long as you follow this rule you should be able to test and optimize any conceivable, Pine Script compatible strategy! AI Mode AI Mode incorporates Heuristic-Based Adaptive Learning to fine-tune trading strategies in a continuous manner. This feature consists of two main components: Heuristic-Based Decision Making: The algorithm evaluates multiple versions of your strategy using specific metrics such as Profit and Loss (PNL), Win Rate, and Most Efficient Profit. These metrics act as heuristics to assist the algorithm in identifying suitable profit targets and stop losses for trade execution. Online Learning: The algorithm updates the performance evaluations of each strategy based on incoming market data. This enables the system to adapt to current market conditions. Incorporating both heuristic-based decision-making and online learning, this feature aims to provide a framework for trading strategy optimization. Settings AI Mode Aggressiveness: Description: The "AI Mode Aggressiveness" setting allows you to fine-tune the AI's trading behavior. This setting ranges from "Low" To "High, with higher aggressiveness indicating a more assertive trading approach. Functionality: This feature filters trading strategies based on a proprietary evaluation method. A higher setting narrows down the strategies that the AI will consider, leaning towards more aggressive trading. Conversely, a lower setting allows for a more conservative approach by broadening the pool of potential strategies. Adaptive Learning Aggressiveness: Description: When Adaptive Learning is enabled, the "Adaptive Learning Aggressiveness" setting controls how dynamically the AI adapts to market conditions using selected performance metrics. Functionality: This setting impacts the AI's responsiveness to shifts in strategy performance. By adjusting this setting, you can control how quickly the AI moves away from strategies that may have been historically successful but are currently underperforming, towards strategies that are showing current promise. Additional Settings Optimization Trading system optimization is immensely advantageous when executed with prudence. Technical-oriented, mechanical trading systems work when a valid correlation is methodical to the extent that an objective, precisely-defined ruleset can consistently exploit it. If no such correlation exists, or a technical-oriented system is erroneously designed to exploit an illusory correlation (absent predictive utility), the trading system will fail. Evaluate results practically and test parameters rigorously after discovery. Simply mining the best-performing parameters and immediately trading them is unlikely a winning strategy. Put as much effort into testing strong-performing parameters and building an accompanying system as you would any other trading strategy. Automated optimization involves curve fitting - it's the responsibility of the trader to validate a replicable sequence or correlation and the trading system that exploits it.
Estratégia Pine Script®
por KioseffTrading
32
EMA bands + leledc + bollinger bands trend following strategy v2The basics: In its simplest form, this strategy is a positional trend following strategy which enters long when price breaks out above "middle" EMA bands and closes or flips short when price breaks down below "middle" EMA bands. The top and bottom of the middle EMA bands are calculated from the EMA of candle highs and lows, respectively. The idea is that entering trades on breakouts of the high EMAs and low EMAs rather than the typical EMA based on candle closes gives a bit more confirmation of trend strength and minimizes getting chopped up. To further reduce getting chopped up, the strategy defaults to close on crossing the opposite EMA band (ie. long on break above high EMA middle band and close below low EMA middle band). This strategy works on all markets on all timeframes, but as a trend following strategy it works best on markets prone to trending such as crypto and tech stocks. On lower timeframes, longer EMAs tend to work best (I've found good results on EMA lengths even has high up to 1000), while 4H charts and above tend to work better with EMA lengths 21 and below. As an added filter to confirm the trend, a second EMA can be used. Inputting a slower EMA filter can ensure trades are entered in accordance with longer term trends, inputting a faster EMA filter can act as confirmation of breakout strength. Bar coloring can be enabled to quickly visually identify a trend's direction for confluence with other indicators or strategies. The goods: Waiting for the trend to flip before closing a trade (especially when a longer base EMA is used) often leaves money on the table. This script combines a number of ways to identify when a trend is exhausted for backtesting the best early exits. "Delayed bars inside middle bands" - When a number of candle's in a row open and close between the middle EMA bands, it could be a sign the trend is weak, or that the breakout was not the start of a new trend. Selecting this will close out positions after a number of bars has passed "Leledc bars" - Originally introduced by glaz, this is a price action indicator that highlights a candle after a number of bars in a row close the same direction and result in greatest high/low over a period. It often triggers when a strong trend has paused before further continuation, or it marks the end of a trend. To mitigate closing on false Leledc signals, this strategy has two options: 1. Introducing requirement for increased volume on the Leledc bars can help filter out Leledc signals that happen mid trend. 2. Closing after a number of Leledc bars appear after position opens. These two options work great in isolation but don't perform well together in my testing. "Bollinger Bands exhaustion bars" - These bars are highlighted when price closes back inside the Bollinger Bands and RSI is within specified overbought/sold zones. The idea is that a trend is overextended when price trades beyond the Bollinger Bands. When price closes back inside the bands it's likely due for mean reversion back to the base EMA in which this strategy will ideally re-enter a position. Since the added RSI requirements often make this indicator too strict to trigger a large enough sample size to backtest, I've found it best to use "non-standard" settings for both the bands and the RSI as seen in the default settings. "Buy/Sell zones" - Similar to the idea behind using Bollinger Bands exhaustion bars as a closing signal. Instead of calculating off of standard deviations, the Buy/Sell zones are calculated off multiples of the middle EMA bands. When trading beyond these zones and subsequently failing back inside, price may be due for mean reversion back to the base EMA. No RSI filter is used for Buy/Sell zones. If any early close conditions are selected, it's often worth enabling trade re-entry on "middle EMA band bounce". Instead of waiting for a candle to close back inside the middle EMA bands, this feature will re-enter position on only a wick back into the middle bands as will sometimes happen when the trend is strong. Any and all of the early close conditions can be combined. Experimenting with these, I've found can result in less net profit but higher win-rates and sharpe ratios as less time is spent in trades. The deadly: The trend is your friend. But wouldn't it be nice to catch the trends early? In ranging markets (or when using slower base EMAs in this strategy), waiting for confirmation of a breakout of the EMA bands at best will cause you to miss half the move, at worst will result in getting consistently chopped up. Enabling "counter-trend" trades on this strategy will allow the strategy to enter positions on the opposite side of the EMA bands on either a Leledc bar or Bollinger Bands exhaustion bar. There is a filter requiring either a high/low (for Leledc) or open (for BB bars) outside the selected inner or outer Buy/Sell zone. There are also a number of different close conditions for the counter-trend trades to experiment with and backtest. There are two ways I've found best to use counter-trend trades 1. Mean reverting scalp trades when a trend is clearly overextended. Selecting from the first 5 counter-trend closing conditions on the dropdown list will usually close the trades out quickly, with less profit but less risk. 2. Trying to catch trends early. Selecting any of the close conditions below the first 5 can cause the strategy to behave as if it's entering into a new trend (from the wrong side). This feature can be deadly effective in profiting from every move price makes, or deadly to the strategy's PnL if not set correctly. Since counter-trend trades open opposite the middle bands, a stop-loss is recommended to reduce risk. If stop-losses for counter-trend trades are disabled, the strategy will hold a position open often until liquidation in a trending market if th trade is offsides. Note that using a slower base EMA makes counter-trend stop-losses even more necessary as it can reduce the effectiveness of the Buy/Sell zone filter for opening the trades as price can spend a long time trending outside the zones. If faster EMAs (34 and below) are used with "Inner" Buy/Zone filter selected, the first few closing conditions will often trigger almost immediately closing the trade at a loss. The niche: I've added a feature to default into longs or shorts. Enabling these with other features (aside from the basic long/short on EMA middle band breakout) tends to break the strategy one way or another. Enabling default long works to simulate trying to acquire more of the asset rather than the base currency. Enabling default short can have positive results for those high FDV, high inflation coins that go down-only for months at a time. Otherwise, I use default short as a hedge for coins that I hold and stake spot. I gain the utility and APR of staking while reducing the risk of holding the underlying asset by maintaining a net neutral position *most* of the time. Disclaimer: This script is intended for experimenting and backtesting different strategies around EMA bands. Use this script for your live trading at your own risk. I am a rookie coder, as such there may be errors in the code that cause the strategy to behave not as intended. As far as I can tell it doesn't repaint, but I cannot guarantee that it does not. That being said if there's any question, improvements, or errors you've found, drop a comment below!
Estratégia Pine Script®
por readysetliqd
5
GRID SPOT TRADING ALGORITHM - GRID BOT TRADING STRATEGYGRID SPOT TRADING ALGORITHM : LONG ONLY STRATEGY OPEN SOURCE This is a long only strategy for spot assets. HOW IT WORKS Grid trading is a trading strategy where an investor creates a so-called "price grid". The basic idea of the strategy is to repeatedly buy at the pre-specified price and then wait for the price to rise above that level and then sell the position (and vice versa with shorting or hedging). FEATURES Grids: This algorithm has a total of 10 grids. Take profit: The trader can increase or decrease the distance between the grids from the User Interface panel, the distance between one grid and another represents the take profit. Management: The algorithm buys 10% of the capital every time the price breaks down a grid and sells during a rise to the next higher grid. The initial capital is invested in 10 sizes which represent 10% of the capital per trade. Stop Loss: The algorithm knows no stop loss as long as it is not activated from the User Interface panel. By activating the stop loss from the User Interface panel the algorithm will insert a close condition on all trades which will be calculated from the last lower grid. Trades: Trades are opened only if the price is within the grid. If the market leaves the grid the algorithm will not buy new positions or sell new positions. Optimal market conditions: The favorable market for this algorithm is the sideways market. LIMITATIONS OF THE MODEL The trader must take into account that this is a static model. It only works perfectly well if the market is in a sideways phase and incurs heavy losses if the market takes a downward trend. The model is unusable for an uptrend. The trader must therefore carefully analyze the market where he intends to use this strategy, making sure that the price is in a sideways phase. USES Indispensable research and backtesting tool for those using bots for their investments. The algorithm produces a backtesting of the strategy for past history. It is used by professional traders to understand if this strategy has been profitable on a market and what parameters to use for bots using this strategy (Kucoin, Binance etc.). If you would like to develop your own algorithm with customized conditions based on a grid strategy, please contact us. If you need help in using this tool, please contact us without hesitation.
Estratégia Pine Script®
por thequantscience
44
3 Candle Strike SPY Option StrategyImportant notes: 1. This strategy is designed for same day SPY option scalping. All profit shown in back testing report is based on Profit/Loss (P/L) estimates from trading options with approximately 7.5 weeks of data. By default, it is set to 10 option contracts. By default the initial capital is set to $5000. 2. This strategy also takes into account of extended market data, so turn it on for it to work as intended. 3. This strategy is mainly developed for SPY trading on 1 min chart, it probably will not work with other tickers without tweaking all the parameters first. 4. At the time of publish, the market is experiencing high volatility. Keep that in mind as market conditions changes constantly. How it works: Basic idea of this strategy is to look for 3 candle reversal pattern within trending market structure. The 3 candle reversal pattern consist of 3 consecutive bullish or bearish candles, followed by an engulfing candle in the opposite direction. This pattern usually signals a reversal of short term trend (a.k.a pullbacks). This strategy uses multiple moving averages to filter long or short entries. For example, if the 21 smoothed moving average is above the 50, only look for long (bullish) entries, and vise versa. There are settings to change these moving average periods to suit your needs. Linear Regression to determine whether the market is trending. The 3 candle pattern is more successful under trending market. This strategy aims for approximately 1:3 risk to reward ratio. Stop losses are calculated using the closest low or high values for long or short entries, respectively, with an offset using a percentage of the daily ATR value. This allows some price fluctuation without being stopped out prematurely. Price target is calculated by multiplying the difference between the entry price and the stop loss by a factor of 3. When price target is reach, this strategy will set stop loss at the price target and wait for exit conditions to maximize potential profit. By default, the strategy signals a trade in the opposite direction if the previous one had resulted in a loss. Often times, this opposite trade results in profit. This strategy automatically signal to close all trades at 3:50 pm EST at the end of the day. Enjoy~!!! Let's all make $$$
Estratégia Pine Script®
por PtGambler
1
[Wantrader] Volatility Breakout Strategy V3This is the Wantrader's volatility breakthrough version 9, which developed Larry Williams' volatility breakthrough strategy. The following elements are included. - Entry : Enter the market price, calculated by the volatility (TR) * ratio (K) of the previous day. - Exit : Based on the selected time frame, closing the closing price, closing the market price, - Stop loss: When it breaks through the entry price and buys, returns to the market price (the previous day's closing price) and changes to bear candle, stop loss. - Long/short comparison: When short version is selected, it shows the result of short instead of long. This strategy is a low-level strategy. When used in practice, it can be stronger and more compliant than expected, but it is not smart. I recommend you to develop a more hidden edge and use it as a drawing paper to create your own strategy. Through the option settings, I'll check if it's right for my first salary or at different times. It will be an opportunity to think about why there is a difference in profits between Long and Short. Also, the result shows the big difference between having and not having a loss. I hope it will be an opportunity to break the relationship in the future. ======================================================================================== 래리윌리엄스의 변동성돌파전략을 발전시킨 원트레이더 변동성돌파 버전3 입니다. 아래 요소가 포함되어있습니다. - 진입 : 전일변동성(TR) * 비율(K) 로 계산한 진입가에, 시장가 진입 - 청산 : 선택한 타임프레임 기준으로 종가에, 시장가 청산 - 손절 : 진입가 돌파하여 매수 후, 당일 시가(전일 종가)로 돌아와서 음봉으로 바뀔때 손절 - 롱/숏 비교 : 숏버전을 선택하면 롱대신 숏으로만 처리한 결과를 보여줌 본 전략은 레벨이 낮은 전략으로 실전에서 사용 시 생각보다 강건하고 준수할 순 있으나 스마트하진 못합니다. 더 숨겨진 엣지를 개발하여 자신만의 전략을 만들기 위한 도화지 처럼 사용하시길 추천드립니다. 옵션 설정을 통해 일봉에서 잘 맞는지 다른 시간대에서 맞는지 등을 확인하고 롱과 숏의 수익의 차이는 왜 나는 것인지 고민해보는 계기가 될 것입니다. 또한 손절이 있는 것과 없는 것의 큰 차이를 결과로 확인하여 앞으로 반드시 손절을 넣게 되는 계기가 되길 기원합니다.
Estratégia Pine Script®
por wantrader10b
1
[Joy] Aladdin Long Trading Strategy 1.0.0 AlphaAladdin's Long trading strategy is to test out Aladdin for long trades only This strategy is mainly used to test whether Aladdin is suitable for a coin/stocks/futures or for any trading. The profitability, average drawdown, average profits, etc are used by me to decide whether to use it for trading. What is Aladdin and what does it do? Using the volume and gradual flow of non-interrupted data (wicks and body of the candles), it tries to detect the macro condition of the market so that one may know in which direction the market is flowing. * Bearish / Sell sign: On the candle's close, I open a short position * Bullish sign: On the candle's close, I open a long position * I take at least 50% profit when the indicator indicates to do so. One can configure that value as desired from the configuration depending on one's risk/money management. I might even convert some portion of the position into stable coins. FAQ Q: Does it use some EMA /MA/etc.? Does it use any indicator with tweaked settings? Answer: No. Q: What does it mostly depend on? Answer: Volume and gradual flow of non-interrupted data. The logic depends purely on volume , price bars and the wicks. Q: Does it work with all coins, stocks, futures, instruments? Answer: I prefer to use the exchange with the best possible data. Then backtest out to find the best possible timeframe, stop loss and target all derived from this script data. Q: Can you make it free or make it open source? Answer: There is no free lunch in this world. I will never reveal or share the source code! Q: Do you provide ongoing support for the indicator? Answer: Yes, as long as I can, I will continue updating the indicator Q: Are the bullish /buy & the bearish/sell markers automatic? Answer: I have no control over the markers. It is driven purely by logic from the script. Q: Is this financial advice? Answer: This is not financial advice. I do not guarantee any profit or loss. I am not responsible for any of your losses or profits. My indicators do not assure profit or loss. It also does not auto-open or auto-close a trade. Assumptions: Only long trades are opened and closed. No short trades. Starting Capital: $20,000 Order Size: 20% of Capital Data used: Whatever data is available from 2011 till today on Trading view Findings: INDEX: BTCUSD 83% profitability using 2day tf 54 closed trades Profit factor: 16 Sortino Ratio: 5.2 Average Winning Trade: 30% Average Losing Trade: 9.12% Largest Winning Trade: 1218% Largest Losing Trade: 20.25% Below are the profitability rate for the timeframe and the coins listed as found by running the trading strategy over the following as of today (Aug 1st 2021 12:40 pm Sydney Time). ⚜️ INDEX:BTCUSD 83% using 2day tf ⚜️INDEX:ETHUSD 80% using 1day tf ⚜️FTTUSD 81% using 2day tf ⚜️SRMUSD 71% using 1day tf ⚜️ADAUSDT 81% using 2day tf ⚜️ALGOUSD > 90% using 2day tf ⚜️ALTPERP 81% using 2day tf ⚜️AVAXUSDT 75% using 1day tf ⚜️BANDUSD > 90% using 2day tf ⚜️BCHUSD 82% using 2day tf ⚜️BNBUSD 79% using 1day tf ⚜️BNBUSD 85% using 2day tf ⚜️CHZUSD 71% using 1day tf ⚜️COMPUSD 81% using 1day tf ⚜️DOGEUSD 77% using 1day tf ⚜️EXCHPERP 83% using 1day tf ⚜️FILUSD > 90% using 1day tf ⚜️FTMUSD 70% using 2day tf ⚜️HTUSDT 75% using 2day tf ⚜️KINUSD >90% using 2day tf ⚜️LINKPERP 85% using 2day tf ⚜️LTCUSD 80% using 2day tf ⚜️MATICUSD 77% using 2day tf ⚜️NEOUSD 80% using 1day tf ⚜️NEXOUSD > 90% using 1day tf ⚜️OKBUSD 71% using 1day tf ⚜️OMGUSD 75% using 1day tf ⚜️RSRUSD 87% using 1day tf ⚜️RUNEUSD > 90% using 1day tf ⚜️SHITPERP > 90% using 1day tf ⚜️SOLUSD 84% using 1day tf ⚜️SUSHIUSD 71% using 1day tf ⚜️THETAUSD > 90% using 2day tf ⚜️UNIPERP 83% using 1day tf ⚜️VERTPERP > 90% using 1day tf ⚜️XAUUSD 63% using 2day tf ⚜️XTZUSD 83% using 2day tf ⚜️ZECUSD 72% using 2day tf Disclaimer: No one knows what will happen in the future. DYOR and decide on your own conditions. Do realize that neither I nor my indicator can guarantee any profit or loss. And there is no assurance that any trade will ever result in any profit. It is not financial advice.
Estratégia Pine Script®
por Joy_Bangla
6
Breakout Trend Trading Strategy - V1Strategy in nutshell: This strategy is made to be used in daily time-frames. Works better on trending instruments where volume is available. Hence, this is more suitable for trending shares rather than currencies, commodities and indexes where volume data is either not present or not reliable. Breakout signifies the continuation of trend. Hence, trade in the direction of breakouts. Breakouts are calculated based on high volume and price movement in a day. This will be combined with few other conditions to generate buy and sell signals along with stop and compound targets. Supertrend is used for trend bias. Our buy and sell targets do not directly depend on the bias. But, entry criteria in opposite trend is made much difficult than that of trend direction. Further explanation of method and input parameters are explained below. Backtesting parameters : Capital and position sizing : Capital and position sizing parameters are set to test investing 2000 wholly on certain stock without compounding. Initial Capital : 2000 Order Size : 100% of equity Pyramiding : 1 ExitOnSignal : If unchecked exit is triggered solely on trailing stop Trade Direction : Long, Short or All. Short condition is riskier than long conditions and often results in losses as per my observation. On most of the stocks trending up, strategy will not generate any short signals. This is achieved by comparing yearly high lows to previous two years to decide whether to allow short or long entries. allowImmediateCompound : Applicable only if compounding/pyramiding is enabled in trade. If checked allows to place compounding orders immediately. If unchecked, it waits for stopline to cross order price before placing next compound. Display Mode : Targets : Whenever breakout happens, show marker for upTarget and downTarget TargetChannel : Show up target and downtarget as a channel Target With Stop : Along with targets, show also stop levels for breakouts Up Channel : Channel created from UpTarget and respective stops Down Channel : Channel created from DownTarget and respective stops ShowTrailingStop : Shows trailing stop and compound lines when there is a trading position. ShowTargetLevels : Shows Buy Sell target levels along with stop and compound lines. Trades are done as market orders. Hence, target levels are displayed after strategy makes the trade. Since only one order allowed per side without compounding, target, stop and compound levels are shown sometimes even without trade being made. These can be considered as entry levels if there is no existing position. ShowPreviousLevels : Shows previous buy/sell target levels. When enabled, layout can look messy. StopMultiplyer: To Set trailing stop loss. BacktestYears: Number of years to include in backtest So far my test cases are: Positive : AAPL, AMZN, TSLA, RUN, VRT, ASX:APT Negative Test Cases: WPL, WHC, NHC, WOW, COL, NAB (All ASX stocks) Special test case: WDI Negative test cases still show losses in backtesting. I have attempted including many conditions to eliminate or reduce the loss. But, further efforts has resulted in reduction in profits in positive cases as well. Still experimenting. Will update whenever I find improvements. Comments and suggestions welcome :)
Estratégia Pine Script®
por Trendoscope
2
Two Take Profit StrategyThis script is for research purposes only. I am not a financial advisor. Entry Condition This strategy is based on two take profit targets and scaling out strategy. The entry rule is very simple. Whenever the EMA crossover WMA, the long trade is taken and vice versa. Take Profit and Stop Loss The first take profit is set at 20 pips above the long entry and the second take profit is set at 40 pips above the long entry. Meanwhile, the stop loss is set at 20 pips below the long entry. Money Management When the first take profit is achieved, half of the position is closed. The rest of the position is open to achieve either second take profit or stop loss. There are three outcomes when using this strategy. Let's say you enter the trade with 200 lot size and you are risking 2% of your equity. 1. The first outcome is when the price hits stop loss, you lose the entire 2%. 2. The second outcome is when the price hits the first take profit and you close half of your position. Meaning that you have gained 1%. Then you let the trade running and eventually it hits stop loss. The total loss is 0% because the remaining lot size which is 200/2=100 times by 20pips is 1%. You have gained the earlier 1% and then loss 1%. At this point, you are at break even. 3. The third outcome is similar to the second out but instead of hiring stop loss, the trade is running to your favor and hits the second take profit. Therefore, you gained 1% from the first take profit and you gained another 2% for the second take profit. Your total gained is 3% Summary The reason behind this strategy is to minimize risk. with normal strategy, you only have two outcomes which are either win or loss. With this strategy, you have three outcomes which are win, loss or break even.
Estratégia Pine Script®
por ahmad_naquib
15
KST Strategy [Skyrexio]Overview KST Strategy leverages Know Sure Thing (KST) indicator in conjunction with the Williams Alligator and Moving average to obtain the high probability setups. KST is used for for having the high probability to enter in the direction of a current trend when momentum is rising, Alligator is used as a short term trend filter, while Moving average approximates the long term trend and allows trades only in its direction. Also strategy has the additional optional filter on Choppiness Index which does not allow trades if market is choppy, above the user-specified threshold. Strategy has the user specified take profit and stop-loss numbers, but multiplied by Average True Range (ATR) value on the moment when trade is open. The strategy opens only long trades. Unique Features ATR based stop-loss and take profit. Instead of fixed take profit and stop-loss percentage strategy utilizes user chosen numbers multiplied by ATR for its calculation. Configurable Trading Periods. Users can tailor the strategy to specific market windows, adapting to different market conditions. Optional Choppiness Index filter. Strategy allows to choose if it will use the filter trades with Choppiness Index and set up its threshold. Methodology The strategy opens long trade when the following price met the conditions: Close price is above the Alligator's jaw line Close price is above the filtering Moving average KST line of Know Sure Thing indicator shall cross over its signal line (details in justification of methodology) If the Choppiness Index filter is enabled its value shall be less than user defined threshold When the long trade is executed algorithm defines the stop-loss level as the low minus user defined number, multiplied by ATR at the trade open candle. Also it defines take profit with close price plus user defined number, multiplied by ATR at the trade open candle. While trade is in progress, if high price on any candle above the calculated take profit level or low price is below the calculated stop loss level, trade is closed. Strategy settings In the inputs window user can setup the following strategy settings: ATR Stop Loss (by default = 1.5, number of ATRs to calculate stop-loss level) ATR Take Profit (by default = 3.5, number of ATRs to calculate take profit level) Filter MA Type (by default = Least Squares MA, type of moving average which is used for filter MA) Filter MA Length (by default = 200, length for filter MA calculation) Enable Choppiness Index Filter (by default = true, setting to choose the optional filtering using Choppiness index) Choppiness Index Threshold (by default = 50, Choppiness Index threshold, its value shall be below it to allow trades execution) Choppiness Index Length (by default = 14, length used in Choppiness index calculation) KST ROC Length #1 (by default = 10, value used in KST indicator calculation, more information in Justification of Methodology) KST ROC Length #2 (by default = 15, value used in KST indicator calculation, more information in Justification of Methodology) KST ROC Length #3 (by default = 20, value used in KST indicator calculation, more information in Justification of Methodology) KST ROC Length #4 (by default = 30, value used in KST indicator calculation, more information in Justification of Methodology) KST SMA Length #1 (by default = 10, value used in KST indicator calculation, more information in Justification of Methodology) KST SMA Length #2 (by default = 10, value used in KST indicator calculation, more information in Justification of Methodology) KST SMA Length #3 (by default = 10, value used in KST indicator calculation, more information in Justification of Methodology) KST SMA Length #4 (by default = 15, value used in KST indicator calculation, more information in Justification of Methodology) KST Signal Line Length (by default = 10, value used in KST indicator calculation, more information in Justification of Methodology) User can choose the optimal parameters during backtesting on certain price chart. Justification of Methodology Before understanding why this particular combination of indicator has been chosen let's briefly explain what is KST, Williams Alligator, Moving Average, ATR and Choppiness Index. The KST (Know Sure Thing) is a momentum oscillator developed by Martin Pring. It combines multiple Rate of Change (ROC) values, smoothed over different timeframes, to identify trend direction and momentum strength. First of all, what is ROC? ROC (Rate of Change) is a momentum indicator that measures the percentage change in price between the current price and the price a set number of periods ago. ROC = 100 * (Current Price - Price N Periods Ago) / Price N Periods Ago In our case N is the KST ROC Length inputs from settings, here we will calculate 4 different ROCs to obtain KST value: KST = ROC1_smooth × 1 + ROC2_smooth × 2 + ROC3_smooth × 3 + ROC4_smooth × 4 ROC1 = ROC(close, KST ROC Length #1), smoothed by KST SMA Length #1, ROC2 = ROC(close, KST ROC Length #2), smoothed by KST SMA Length #2, ROC3 = ROC(close, KST ROC Length #3), smoothed by KST SMA Length #3, ROC4 = ROC(close, KST ROC Length #4), smoothed by KST SMA Length #4 Also for this indicator the signal line is calculated: Signal = SMA(KST, KST Signal Line Length) When the KST line rises, it indicates increasing momentum and suggests that an upward trend may be developing. Conversely, when the KST line declines, it reflects weakening momentum and a potential downward trend. A crossover of the KST line above its signal line is considered a buy signal, while a crossover below the signal line is viewed as a sell signal. If the KST stays above zero, it indicates overall bullish momentum; if it remains below zero, it points to bearish momentum. The KST indicator smooths momentum across multiple timeframes, helping to reduce noise and provide clearer signals for medium- to long-term trends. Next, let’s discuss the short-term trend filter, which combines the Williams Alligator and Williams Fractals. Williams Alligator Developed by Bill Williams, the Alligator is a technical indicator that identifies trends and potential market reversals. It consists of three smoothed moving averages: Jaw (Blue Line): The slowest of the three, based on a 13-period smoothed moving average shifted 8 bars ahead. Teeth (Red Line): The medium-speed line, derived from an 8-period smoothed moving average shifted 5 bars forward. Lips (Green Line): The fastest line, calculated using a 5-period smoothed moving average shifted 3 bars forward. When the lines diverge and align in order, the "Alligator" is "awake," signaling a strong trend. When the lines overlap or intertwine, the "Alligator" is "asleep," indicating a range-bound or sideways market. This indicator helps traders determine when to enter or avoid trades. The next indicator is Moving Average. It has a lot of different types which can be chosen to filter trades and the Least Squares MA is used by default settings. Let's briefly explain what is it. The Least Squares Moving Average (LSMA) — also known as Linear Regression Moving Average — is a trend-following indicator that uses the least squares method to fit a straight line to the price data over a given period, then plots the value of that line at the most recent point. It draws the best-fitting straight line through the past N prices (using linear regression), and then takes the endpoint of that line as the value of the moving average for that bar. The LSMA aims to reduce lag and highlight the current trend more accurately than traditional moving averages like SMA or EMA. Key Features: It reacts faster to price changes than most moving averages. It is smoother and less noisy than short-term EMAs. It can be used to identify trend direction, momentum, and potential reversal points. ATR (Average True Range) is a volatility indicator that measures how much an asset typically moves during a given period. It was introduced by J. Welles Wilder and is widely used to assess market volatility, not direction. To calculate it first of all we need to get True Range (TR), this is the greatest value among: High - Low abs(High - Previous Close) abs(Low - Previous Close) ATR = MA(TR, n) , where n is number of periods for moving average, in our case equals 14. ATR shows how much an asset moves on average per candle/bar. A higher ATR means more volatility; a lower ATR means a calmer market. The Choppiness Index is a technical indicator that quantifies whether the market is trending or choppy (sideways). It doesn't indicate trend direction — only the strength or weakness of a trend. Higher Choppiness Index usually approximates the sideways market, while its low value tells us that there is a high probability of a trend. Choppiness Index = 100 × log10(ΣATR(n) / (MaxHigh(n) - MinLow(n))) / log10(n) where: ΣATR(n) = sum of the Average True Range over n periods MaxHigh(n) = highest high over n periods MinLow(n) = lowest low over n periods log10 = base-10 logarithm Now let's understand how these indicators work in conjunction and why they were chosen for this strategy. KST indicator approximates current momentum, when it is rising and KST line crosses over the signal line there is high probability that short term trend is reversing to the upside and strategy allows to take part in this potential move. Alligator's jaw (blue) line is used as an approximation of a short term trend, taking trades only above it we want to avoid trading against trend to increase probability that long trade is going to be winning. Almost the same for Moving Average, but it approximates the long term trend, this is just the additional filter. If we trade in the direction of the long term trend we increase probability that higher risk to reward trade will hit the take profit. Choppiness index is the optional filter, but if it turned on it is used for approximating if now market is in sideways or in trend. On the range bounded market the potential moves are restricted. We want to decrease probability opening trades in such condition avoiding trades if this index is above threshold value. When trade is open script sets the stop loss and take profit targets. ATR approximates the current volatility, so we can make a decision when to exit a trade based on current market condition, it can increase the probability that strategy will avoid the excessive stop loss hits, but anyway user can setup how many ATRs to use as a stop loss and take profit target. As was said in the Methodology stop loss level is obtained by subtracting number of ATRs from trade opening candle low, while take profit by adding to this candle's close. Backtest Results Operating window: Date range of backtests is 2023.01.01 - 2025.05.01. It is chosen to let the strategy to close all opened positions. Commission and Slippage: Includes a standard Binance commission of 0.1% and accounts for possible slippage over 5 ticks. Initial capital: 10000 USDT Percent of capital used in every trade: 60% Maximum Single Position Loss: -5.53% Maximum Single Profit: +8.35% Net Profit: +5175.20 USDT (+51.75%) Total Trades: 120 (56.67% win rate) Profit Factor: 1.747 Maximum Accumulated Loss: 1039.89 USDT (-9.1%) Average Profit per Trade: 43.13 USDT (+0.6%) Average Trade Duration: 27 hours These results are obtained with realistic parameters representing trading conditions observed at major exchanges such as Binance and with realistic trading portfolio usage parameters. How to Use Add the script to favorites for easy access. Apply to the desired timeframe and chart (optimal performance observed on 1h BTC/USDT). Configure settings using the dropdown choice list in the built-in menu. Set up alerts to automate strategy positions through web hook with the text: {{strategy.order.alert_message}} Disclaimer: Educational and informational tool reflecting Skyrexio commitment to informed trading. Past performance does not guarantee future results. Test strategies in a simulated environment before live implementation.
Estratégia Pine Script®
por Skyrexio
Reverse Keltner Channel StrategyReverse Keltner Channel Strategy Overview The Reverse Keltner Channel Strategy is a mean-reversion trading system that capitalizes on price movements between Keltner Channels. Unlike traditional Keltner Channel strategies that trade breakouts, this system takes the contrarian approach by entering positions when price returns to the channel after overextending. Strategy Logic Long Entry Conditions: Price crosses above the lower Keltner Channel from below This signals a potential reversal after an oversold condition Position is entered at market price upon signal confirmation Long Exit Conditions: Take Profit: Price reaches the upper Keltner Channel Stop Loss: Placed at half the channel width below entry price Short Entry Conditions: Price crosses below the upper Keltner Channel from above This signals a potential reversal after an overbought condition Position is entered at market price upon signal confirmation Short Exit Conditions: Take Profit: Price reaches the lower Keltner Channel Stop Loss: Placed at half the channel width above entry price Key Features Mean Reversion Approach: Takes advantage of price tendency to return to mean after extreme moves Adaptive Stop Loss: Stop loss dynamically adjusts based on market volatility via ATR Visual Signals: Entry points clearly marked with directional triangles Fully Customizable: All parameters can be adjusted to fit various market conditions Customizable Parameters Keltner EMA Length: Controls the responsiveness of the channel (default: 20) ATR Multiplier: Determines channel width/sensitivity (default: 2.0) ATR Length: Affects volatility calculation period (default: 10) Stop Loss Factor: Adjusts risk management aggressiveness (default: 0.5) Best Used On This strategy performs well on: Currency pairs with defined ranging behavior Commodities that show cyclical price movements Higher timeframes (4H, Daily) for more reliable signals Markets with moderate volatility Risk Management The built-in stop loss mechanism automatically adjusts to market conditions by calculating position risk relative to the current channel width. This approach ensures that risk remains proportional to potential reward across varying market conditions. Notes for Optimization Consider adjusting the EMA length and ATR multiplier based on the specific asset and timeframe: Lower values increase sensitivity and generate more signals Higher values produce fewer but potentially more reliable signals As with any trading strategy, thorough backtesting is recommended before live implementation. Past performance is not indicative of future results. Always practice sound risk management.
Estratégia Pine Script®
por fenyesk
Titan X 📈 Titan X – Optimized Trend Strategy with Gradient ZLEMA, RMI, CCI, ROC, and Volume Confirmation Titan X is a precision-engineered trend-following strategy designed for crypto markets and high-volatility assets. It is not just a combination of indicators, but a carefully constructed, non-repainting system where each component plays a specific role in confirming high-probability trade setups. The strategy detects strong directional moves, confirms them with momentum and volume, and manages trade exits without relying on traditional stop losses. 🔍 How the Indicators Work Together ✅ 1. ZLEMA Baseline + Gradient Filter A Zero Lag Exponential Moving Average (ZLEMA) is used to track directional trend with minimal lag. A gradient (slope) is calculated from the ZLEMA to measure trend acceleration. This confirms whether a trend is gaining strength or losing momentum. Entries are only taken when the ZLEMA gradient exceeds a user-defined threshold, ensuring trades are only taken in strong, developing trends. ✅ 2. RMI – Relative Momentum Index (with Memory) RMI captures sustained momentum direction over time. It helps validate that price isn't just spiking, but truly trending. Titan X uses RMI as a trend memory filter, requiring consistent momentum alignment before entry. ✅ 3. Momentum Timing – ROC + CCI The Rate of Change (ROC) determines the strength and direction of recent momentum. The Commodity Channel Index (CCI) checks price deviation from a moving average baseline, identifying whether momentum is aligned with market structure. This combo prevents trades in weak, flat, or conflicting conditions. ✅ 4. Volume Spike Confirmation Titan X uses a relative volume filter, requiring the current bar’s volume to exceed a moving average threshold. This ensures trades are only triggered when there is clear breakout interest from market participants, helping avoid fakeouts and low-volume moves. 🎯 Trade Entry & Exit Rules ✅ Entry Conditions: All five filters must align: Trend direction (ZLEMA slope) Momentum (ROC & CCI) Trend memory (RMI) Volume (Spike filter) Trades are entered on the next bar after all confirmations, ensuring 100% non-repainting behavior. ✅ Take Profit System (Multi-Level TP): TP1: Closes 50% of the position at a user-defined % gain (default: 2%) TP2: Closes the remaining 50% of the position at a higher % gain (default: 4%) Each TP is executed via limit order to ensure realistic and backtestable fills. ❌ No Stop Loss Used Instead of using fixed stop losses, Titan X closes positions early when trend conditions weaken. This dynamic exit logic is based on a reversal in ZLEMA gradient, which serves as a weak trend detection system. ⏱️ Cooldown Logic A 1-bar cooldown is enforced between trades to avoid same-bar exit/entry violations on TradingView. This improves execution accuracy and avoids overtrading on choppy price action. 📊 Real-Time Strategy Dashboard Titan X includes a live dashboard that provides full transparency: Current Position (Long / Short / Flat) Entry Price TP1 Hit? / TP2 Hit? Bars Since Entry Win Rate (%) Profit Factor Ideal for both manual monitoring and automated bot strategies. 🔔 Bot-Ready Multi-Exchange Alerts Alerts can be configured for: ENTER-LONG, ENTER-SHORT EXIT-LONG, EXIT-SHORT TP1 / TP2 targets Messages are fully customizable and designed for platforms like: WonderTrading 3Commas TradingConnector ⚙️ Designed For: Timeframes: 1H and 4H (optimized for crypto) Markets: Altcoins, BTC/ETH, high-volatility pairs Traders: Trend-followers, momentum scalpers, algo bot users Goal: High accuracy entries, structured exits, zero repainting, and flexible trade management ⚠️ TradingView Disclosure This strategy is provided for educational purposes only. It does not constitute investment advice, nor does it guarantee any returns. Trading carries risk; test thoroughly before using in live environments.
Estratégia Pine Script®
por robertgroff72
Profit Trailing BBandsProfit Trailing Trend BBands v4.7.5 with Double Trailing SL A TradingView Pine Script Strategy Created by Kevin Bourn and refined with the help of Grok 3 (xAI) Overview Welcome to Profit Trailing Trend BBands v4.7.5, a dynamic trading strategy designed to ride trends and lock in profits with a unique double trailing stop-loss mechanism. Built for TradingView’s Pine Script v6, this strategy combines Bollinger Bands for trend detection with a smart trailing system that doubles down on profit protection. Whether you’re trading XRP or any other asset, this tool aims to maximize gains while keeping risk in check—all with a clean, visual interface. What It Does Identifies Trends: Uses Bollinger Bands to spot uptrends (price crossing above the upper band) and downtrends (price crossing below the lower band). Enters Positions: Opens long or short trades based on trend signals, with customizable position sizing and leverage. Trails Profits: Employs a two-stage trailing stop-loss: Initial Trailing SL: Acts as a take-profit level, set as a percentage (%) or dollar ($) distance from the entry price. Tightened Trailing SL: Once the initial profit target is hit, the stop-loss tightens to half the initial distance, locking in gains as the trend continues. Manages Risk: Includes a margin call feature to exit losing positions before they blow up your account. Visualizes Everything: Plots Bollinger Bands (blue upper, orange lower) and a red stepped trailing stop-loss line for easy tracking. Why Built It? Captures Trends: Bollinger Bands are a proven way to catch momentum, and we tuned them for responsiveness (short length, moderate multiplier). Secures Profits: Traditional trailing stops often leave money on the table or exit too early. The double trailing SL first takes a chunk of profit, then tightens up to ride the rest of the move. Stays Flexible: Traders can tweak price sources, stop-loss types (% or $), and position sizing to fit their style. Looks Good: Clear visuals help you see the strategy in action without cluttering your chart. Originally refined for XRP, it’s versatile enough for most markets — crypto, forex, stocks, you name it. How It Works Core Components Bollinger Bands: Calculated using a simple moving average (SMA) and standard deviation. Default settings: 6-period length, 1.66 multiplier. Upper Band (blue): SMA + (1.66 × StdDev). Lower Band (orange): SMA - (1.66 × StdDev). Trend signals: Price crossing above the upper band triggers a long, below the lower band triggers a short. Double Trailing Stop-Loss: Initial SL: Set via "Trailing Stop-Loss Value" (default 6% or $6). Trails the price at this distance and doubles as the first profit target. Tightened SL: Once price hits the initial SL distance in profit (e.g., +6%), the SL tightens to half (e.g., 3%) and continues trailing, locking in gains. Visualized as a red stepped line, only visible during active positions. Position Sizing: Choose "% of Equity" (default 30%) or "Amount in $" to set trade size. Leverage (default 10x) amplifies positions, capped by available equity to avoid overexposure. Margin Call: Exits positions if drawdown exceeds the "Margin %" (default 10%) to protect your account. Backtesting Filter: Starts trading after a user-defined date (default: Jan 1, 2020) for focused historical analysis. Trade Logic Long Entry: Price crosses above the upper Bollinger Band → Closes any short position, opens a long. Short Entry: Price crosses below the lower Bollinger Band → Closes any long position, opens a short. Exit: Position closes when price hits the trailing stop-loss or triggers a margin call. How to Use It Setup Add to TradingView: Open TradingView, go to the Pine Editor, paste the script, and click "Add to Chart." Ensure you’re using Pine Script v6 (the script includes @version=6). Configure Inputs: Start Date for Backtesting: Set the date to begin historical testing (default: Jan 1, 2020). BB Length & Mult: Adjust Bollinger Band sensitivity (default: 6, 1.66). BB Price Source: Choose the price for BBands (default: Close). Trend Price Source: Choose the price for trend detection (default: Close). Trailing Stop-Loss Type: Pick "%" or "$" (default: Trailing SL %). Trailing Stop-Loss Value: Set the initial SL distance (default: 6). Margin %: Define the max drawdown before exit (default: 10%). Order Size Type & Value: Set position size as % of equity (default: 30%) or $ amount. Leverage: Adjust leverage (default: 10x). Run It: Use the Strategy Tester tab to backtest on your chosen asset and timeframe. Watch the chart for blue/orange Bollinger Bands and the red trailing SL line. Tips for Traders Timeframes: Works on any timeframe, but test 1H or 4H for XRP—great balance of signals and noise. Assets: Optimized for XRP, but tweak slValue and mult for other markets (e.g., tighter SL for low-volatility pairs). Risk Management: Keep marginPercent low (5-10%) for volatile assets; adjust leverage based on your risk tolerance. Visuals: The red stepped SL line shows only during trades—zoom in to see its tightening in action. Visuals on the Chart Blue Line: Upper Bollinger Band (trend entry for longs). Orange Line: Lower Bollinger Band (trend entry for shorts). Red Stepped Line: Trailing Stop-Loss (shifts tighter after the first profit target). Order Labels: Short tags like "OL" (Open Long), "CS" (Close Short), "LSL" (Long Stop-Loss), etc., mark trades. Disclaimer Trading involves risk. This strategy is for educational and experimental use—backtest thoroughly and use at your own risk. Past performance doesn’t guarantee future results. Not financial advice—just a tool from traders, for traders.
Estratégia Pine Script®
por Kev_Bourn
IU Bigger than range strategyDESCRIPTION IU Bigger Than Range Strategy is designed to capture breakout opportunities by identifying candles that are significantly larger than the previous range. It dynamically calculates the high and low of the last N candles and enters trades when the current candle's range exceeds the previous range. The strategy includes multiple stop-loss methods (Previous High/Low, ATR, Swing High/Low) and automatically manages take-profit and stop-loss levels based on user-defined risk-to-reward ratios. This versatile strategy is optimized for higher timeframes and assets like BTC but can be fine-tuned for different instruments and intervals. USER INPUTS: Look back Length: Number of candles to calculate the high-low range. Default is 22. Risk to Reward: Sets the target reward relative to the stop-loss distance. Default is 3. Stop Loss Method: Choose between:(Default is "Previous High/Low") - Previous High/Low - ATR (Average True Range) - Swing High/Low ATR Length: Defines the length for ATR calculation (only applicable when ATR is selected as the stop-loss method) (Default is 14). ATR Factor: Multiplier applied to the ATR to determine stop-loss distance(Default is 2). Swing High/Low Length: Specifies the length for identifying swing points (only applicable when Swing High/Low is selected as the stop-loss method).(Default is 2) LONG CONDITION: The current candle’s range (absolute difference between open and close) is greater than the previous range. The closing price is higher than the opening price (bullish candle). SHORT CONDITIONS: The current candle’s range exceeds the previous range. The closing price is lower than the opening price (bearish candle). LONG EXIT: Stop-loss: - Previous Low - ATR-based trailing stop - Recent Swing Low Take-profit: - Defined by the Risk-to-Reward ratio (default 3x the stop-loss distance). SHORT EXIT: Stop-loss: - Previous High - ATR-based trailing stop - Recent Swing High Take-profit: - Defined by the Risk-to-Reward ratio (default 3x the stop-loss distance). ALERTS: Long Entry Triggered Short Entry Triggered WHY IT IS UNIQUE: This strategy dynamically adapts to different market conditions by identifying candles that exceed the previous range, ensuring that it only enters trades during strong breakout scenarios. Multiple stop-loss methods provide flexibility for different trading styles and risk profiles. The visual representation of stop-loss and take-profit levels with color-coded plots improves trade monitoring and decision-making. HOW USERS CAN BENEFIT FROM IT: Ideal for breakout traders looking to capitalize on momentum-driven price moves. Provides flexibility to customize stop-loss methods and fine-tune risk management parameters. Helps minimize drawdowns with a strong risk-to-reward framework while maximizing profit potential.
Estratégia Pine Script®
por Shivam_Mandrai
Divergence IQ [TradingIQ]Hello Traders! Introducing "Divergence IQ" Divergence IQ lets traders identify divergences between price action and almost ANY TradingView technical indicator. This tool is designed to help you spot potential trend reversals and continuation patterns with a range of configurable features. Features Divergence Detection Detects both regular and hidden divergences for bullish and bearish setups by comparing price movements with changes in the indicator. Offers two detection methods: one based on classic pivot point analysis and another that provides immediate divergence signals. Option to use closing prices for divergence detection, allowing you to choose the data that best fits your strategy. Normalization Options: Includes multiple normalization techniques such as robust scaling, rolling Z-score, rolling min-max, or no normalization at all. Adjustable normalization window lets you customize the indicator to suit various market conditions. Option to display the normalized indicator on the chart for clearer visual comparison. Allows traders to take indicators that aren't oscillators, and convert them into an oscillator - allowing for better divergence detection. Simulated Trade Management: Integrates simulated trade entries and exits based on divergence signals to demonstrate potential trading outcomes. Customizable exit strategies with options for ATR-based or percentage-based stop loss and profit target settings. Automatically calculates key trade metrics such as profit percentage, win rate, profit factor, and total trade count. Visual Enhancements and On-Chart Displays: Color-coded signals differentiate between bullish, bearish, hidden bullish, and hidden bearish divergence setups. On-chart labels, lines, and gradient flow visualizations clearly mark divergence signals, entry points, and exit levels. Configurable settings let you choose whether to display divergence signals on the price chart or in a separate pane. Performance Metrics Table: A performance table dynamically displays important statistics like profit, win rate, profit factor, and number of trades. This feature offers an at-a-glance assessment of how the divergence-based strategy is performing. The image above shows Divergence IQ successfully identifying and trading a bullish divergence between an indicator and price action! The image above shows Divergence IQ successfully identifying and trading a bearish divergence between an indicator and price action! The image above shows Divergence IQ successfully identifying and trading a hidden bullish divergence between an indicator and price action! The image above shows Divergence IQ successfully identifying and trading a hidden bearish divergence between an indicator and price action! The performance table is designed to provide a clear summary of simulated trade results based on divergence setups. You can easily review key metrics to assess the strategy’s effectiveness over different time periods. Customization and Adaptability Divergence IQ offers a wide range of configurable settings to tailor the indicator to your personal trading approach. You can adjust the lookback and lookahead periods for pivot detection, select your preferred method for normalization, and modify trade exit parameters to manage risk according to your strategy. The tool’s clear visual elements and comprehensive performance metrics make it a useful addition to your technical analysis toolbox. The image above shows Divergence IQ identifying divergences between price action and OBV with no normalization technique applied. While traders can look for divergences between OBV and price, OBV doesn't naturally behave like an oscillator, with no definable upper and lower threshold, OBV can infinitely increase or decrease. With Divergence IQ's ability to normalize any indicator, traders can normalize non-oscillator technical indicators such as OBV, CVD, MACD, or even a moving average. In the image above, the "Robust Scaling" normalization technique is selected. Consequently, the output of OBV has changed and is now behaving similar to an oscillator-like technical indicator. This makes spotting divergences between the indicator and price easier and more appropriate. The three normalization techniques included will change the indicator's final output to be more compatible with divergence detection. This feature can be used with almost any technical indicator. Stop Type Traders can select between ATR based profit targets and stop losses, or percentage based profit targets and stop losses. The image above shows options for the feature. Divergence Detection Method A natural pitfall of divergence trading is that it generally takes several bars to "confirm" a divergence. This makes trading the divergence complicated, because the entry at time of the divergence might look great; however, the divergence wasn't actually signaled until several bars later. To circumvent this issue, Divergence IQ offers two divergence detection mechanisms. Pivot Detection Pivot detection mode is the same as almost every divergence indicator on TradingView. The Pivots High Low indicator is used to detect market/indicator highs and lows and, consequently, divergences. This method generally finds the "best looking" divergences, but will always take additional time to confirm the divergence. Immediate Detection Immediate detection mode attempts to reduce lag between the divergence and its confirmation to as little as possible while avoiding repainting. Immediate detection mode still uses the Pivots Detection model to find the first high/low of a divergence. However, the most recent high/low does not utilize the Pivot Detection model, and instead immediately looks for a divergence between price and an indicator. Immediate Detection Mode will always signal a divergence one bar after it's occurred, and traders can set alerts in this mode to be alerted as soon as the divergence occurs. TradingView Backtester Integration Divergence IQ is fully compatible with the TradingView backtester! Divergence IQ isn’t designed to be a “profitable strategy” for users to trade. Instead, the intention of including the backtester is to let users backtest divergence-based trading strategies between the asset on their chart and almost any technical indicator, and to see if divergences have any predictive utility in that market. So while the backtester is available in Divergence IQ, it’s for users to personally figure out if they should consider a divergence an actionable insight, and not a solicitation that Divergence IQ is a profitable trading strategy. Divergence IQ should be thought of as a Divergence backtesting toolkit, not a full-feature trading strategy. Strategy Properties Used For Backtest Initial Capital: $1000 - a realistic amount of starting capital that will resonate with many traders Amount Per Trade: 5% of equity - a realistic amount of capital to invest relative to portfolio size Commission: 0.02% - a conservative amount of commission to pay for trade that is standard in crypto trading, and very high for other markets. Slippage: 1 tick - appropriate for liquid markets, but must be increased in markets with low activity. Once more, the backtester is meant for traders to personally figure out if divergences are actionable trading signals on the market they wish to trade with the indicator they wish to use. And that's all! If you have any cool features you think can benefit Divergence IQ - please feel free to share them! Thank you so much TradingView community!
Estratégia Pine Script®
por Trading-IQ
2
Sunil BB Blast Heikin Ashi StrategySunil BB Blast Heikin Ashi Strategy The Sunil BB Blast Heikin Ashi Strategy is a trend-following trading strategy that combines Bollinger Bands with Heikin-Ashi candles for precise market entries and exits. It aims to capitalize on price volatility while ensuring controlled risk through dynamic stop-loss and take-profit levels based on a user-defined Risk-to-Reward Ratio (RRR). Key Features: Trading Window: The strategy operates within a user-defined time window (e.g., from 09:20 to 15:00) to align with market hours or other preferred trading sessions. Trade Direction: Users can select between Long Only, Short Only, or Long/Short trade directions, allowing flexibility depending on market conditions. Bollinger Bands: Bollinger Bands are used to identify potential breakout or breakdown zones. The strategy enters trades when price breaks through the upper or lower Bollinger Band, indicating a possible trend continuation. Heikin-Ashi Candles: Heikin-Ashi candles help smooth price action and filter out market noise. The strategy uses these candles to confirm trend direction and improve entry accuracy. Risk Management (Risk-to-Reward Ratio): The strategy automatically adjusts the take-profit (TP) level and stop-loss (SL) based on the selected Risk-to-Reward Ratio (RRR). This ensures that trades are risk-managed effectively. Automated Alerts and Webhooks: The strategy includes automated alerts for trade entries and exits. Users can set up JSON webhooks for external execution or trading automation. Active Position Tracking: The strategy tracks whether there is an active position (long or short) and only exits when price hits the pre-defined SL or TP levels. Exit Conditions: The strategy exits positions when either the take-profit (TP) or stop-loss (SL) levels are hit, ensuring risk management is adhered to. Default Settings: Trading Window: 09:20-15:00 This setting confines the strategy to the specified hours, ensuring trading only occurs during active market hours. Strategy Direction: Default: Long/Short This allows for both long and short trades depending on market conditions. You can select "Long Only" or "Short Only" if you prefer to trade in one direction. Bollinger Band Length (bbLength): Default: 19 Length of the moving average used to calculate the Bollinger Bands. Bollinger Band Multiplier (bbMultiplier): Default: 2.0 Multiplier used to calculate the upper and lower bands. A higher multiplier increases the width of the bands, leading to fewer but more significant trades. Take Profit Multiplier (tpMultiplier): Default: 2.0 Multiplier used to determine the take-profit level based on the calculated stop-loss. This ensures that the profit target aligns with the selected Risk-to-Reward Ratio. Risk-to-Reward Ratio (RRR): Default: 1.0 The ratio used to calculate the take-profit relative to the stop-loss. A higher RRR means larger profit targets. Trade Automation (JSON Webhooks): Allows for integration with external systems for automated execution: Long Entry JSON: Customizable entry condition for long positions. Long Exit JSON: Customizable exit condition for long positions. Short Entry JSON: Customizable entry condition for short positions. Short Exit JSON: Customizable exit condition for short positions. Entry Logic: Long Entry: The strategy enters a long position when: The Heikin-Ashi candle shows a bullish trend (green close > open). The price is above the upper Bollinger Band, signaling a breakout. The previous candle also closed higher than it opened. Short Entry: The strategy enters a short position when: The Heikin-Ashi candle shows a bearish trend (red close < open). The price is below the lower Bollinger Band, signaling a breakdown. The previous candle also closed lower than it opened. Exit Logic: Take-Profit (TP): The take-profit level is calculated as a multiple of the distance between the entry price and the stop-loss level, determined by the selected Risk-to-Reward Ratio (RRR). Stop-Loss (SL): The stop-loss is placed at the opposite Bollinger Band level (lower for long positions, upper for short positions). Exit Trigger: The strategy exits a trade when either the take-profit or stop-loss level is hit. Plotting and Visuals: The Heikin-Ashi candles are displayed on the chart, with green candles for uptrends and red candles for downtrends. Bollinger Bands (upper, lower, and basis) are plotted for visual reference. Entry points for long and short trades are marked with green and red labels below and above bars, respectively. Strategy Alerts: Alerts are triggered when: A long entry condition is met. A short entry condition is met. A trade exits (either via take-profit or stop-loss). These alerts can be used to trigger notifications or webhook events for automated trading systems. Notes: The strategy is designed for use on intraday charts but can be applied to any timeframe. It is highly customizable, allowing for tailored risk management and trading windows. The Sunil BB Blast Heikin Ashi Strategy combines two powerful technical analysis tools (Bollinger Bands and Heikin-Ashi candles) with strong risk management, making it suitable for both beginners and experienced traders. Feebacks are welcome from the users.
Estratégia Pine Script®
por sunilsenapati
ROBO STB GainCraft strategyPure Price Action Candlestick Strategy by ROBO STB Overview This strategy is built entirely on the principles of price action and candlestick analysis, designed for traders who prefer raw market data over traditional indicators. By focusing solely on candlestick patterns and their context within recent price movements, the strategy identifies high-probability entry and exit points in liquid markets. Entry signals are generated based on these patterns appearing at significant market locations, such as after consolidations, pullbacks, or at key support/resistance levels. Price Action Integration: Instead of relying on oscillators or moving averages, the script leverages the inherent market structure provided by candlesticks to interpret potential trend reversals or continuations. This approach provides a clearer view of market sentiment. No External Indicators: This script avoids the use of traditional indicators like RSI, MACD, or Bollinger Bands, offering a clean, uncluttered chart. Risk Management (Optional): Fixed-percentage risk management options can also be enabled, ensuring trades remain within acceptable risk parameters. How the Strategy Works Entry Conditions: Buy Entry: A bullish candlestick pattern (e.g., bullish engulfing) forms after a period of consolidation or pullback, indicating potential upward momentum. Sell Entry: A bearish candlestick pattern (e.g., bearish engulfing) suggests a downturn is likely. Exit Conditions: Exits are triggered by the appearance of reversal candlestick patterns or through predefined SL/TP levels. The strategy adapts to varying market conditions by analyzing candlestick structures dynamically. Ideal Use Cases Short-Term Trading: Designed for day traders and scalpers targeting quick moves on shorter timeframes. Highly Liquid Markets: Performs best in markets with high liquidity, such as Nifty, Bank Nifty, or major forex pairs, where candlestick patterns provide reliable signals. 30-Minute Timeframe: For optimal results, the strategy is recommended for use on a 30-minute timeframe. Transparency and Realism Backtesting Parameters: The default backtesting settings simulate realistic trading conditions, including commissions and slippage, ensuring that results are not misleading. Trade sizes are calibrated to risk sustainable amounts (.05% maximum equity per trade). Dataset Selection: This strategy has been tested on diverse datasets to produce a statistically significant number of trades, ensuring robust performance evaluation. Why This Strategy is Unique This script stands apart by offering a refined approach to price action trading. Unlike generic indicator mashups, it provides traders with an actionable, candlestick-focused methodology tailored for volatile, high-liquidity markets. The strategy is both simple to understand and powerful in execution, making it an excellent tool for traders who want to develop their skills in raw price action analysis while maintaining strict risk management. Key Features Candlestick-Based Entry and Exit Signals: 1. Risk Management: - Risk-to-Reward Ratio (RTR): Set a customizable risk-to-reward ratio to calculate target prices based on stop-loss levels. Default: 3:1 order size added -100 2. Opening Range Identification - Opening Range High and Low: The script detects the high and low of the first trading session using Pine Script's session functions. These levels are plotted as visual guides on the chart: - High: Lime-colored circles. - Low: Red-colored circles. 3. Trade Entry Logic - Long Entry: A long trade is triggered when the price closes above the opening range high. - Entry condition: Crossover of the price above the opening range high. -Short Entry: A short trade is triggered when the price closes below the opening range low. - Entry condition: Crossunder of the price below the opening range low. Both entries are conditional on the absence of an existing position. 4. Stop Loss and Take Profit - Long Position: - Stop Loss: Previous candle's low. - Take Profit: Calculated based on the RTR. - **Short Position:** - **Stop Loss:** Previous candle's high. - **Take Profit:** Calculated based on the RTR. The strategy plots these levels for visual reference: - Stop Loss: Red dashed lines. - Take Profit: Green dashed lines. 5. Visual Enhancements -Trade Level Highlighting: The script dynamically shades the areas between the entry price and SL/TP levels: - Red shading for the stop-loss region. - Green shading for the take-profit region. How to Use: 1.Input Configuration: Adjust the Risk-to-Reward ratio, max trades per day, and session end time to suit your trading preferences. 2.Visual Cues: Use the opening range high/low lines and shading to identify potential breakout opportunities. 3.Execution: The strategy will automatically enter and exit trades based on the conditions. Review the plotted SL and TP levels to monitor the risk-reward setup. Important Notes: - This strategy is designed for intraday trading and works best in markets with high volatility during the opening session. - Backtest the strategy on your preferred market and timeframe to ensure compatibility. - Proper risk management and position sizing are essential when using this strategy in live markets. Please let me know if you have any doubts.
Estratégia Pine Script®
por ROBOSTB
IU Opening range Breakout StrategyIU Opening Range Breakout Strategy This Pine Script strategy is designed to capitalize on the breakout of the opening range, which is a popular trading approach. The strategy identifies the high and low prices of the opening session and takes trades based on price crossing these levels, with built-in risk management and trade limits for intraday trading. Key Features: 1. Risk Management: - Risk-to-Reward Ratio (RTR): Set a customizable risk-to-reward ratio to calculate target prices based on stop-loss levels. Default: 2:1 - Max Trades in a Day: Specify the maximum number of trades allowed per day to avoid overtrading. Default: 2 trades in a day. - End-of-Day Close: Automatically closes all open positions at a user-defined session end time to ensure no overnight exposure. Default: 3:15 PM 2. Opening Range Identification - Opening Range High and Low: The script detects the high and low of the first trading session using Pine Script's session functions. These levels are plotted as visual guides on the chart: - High: Lime-colored circles. - Low: Red-colored circles. 3. Trade Entry Logic - Long Entry: A long trade is triggered when the price closes above the opening range high. - Entry condition: Crossover of the price above the opening range high. -Short Entry: A short trade is triggered when the price closes below the opening range low. - Entry condition: Crossunder of the price below the opening range low. Both entries are conditional on the absence of an existing position. 4. Stop Loss and Take Profit - Long Position: - Stop Loss: Previous candle's low. - Take Profit: Calculated based on the RTR. - **Short Position:** - **Stop Loss:** Previous candle's high. - **Take Profit:** Calculated based on the RTR. The strategy plots these levels for visual reference: - Stop Loss: Red dashed lines. - Take Profit: Green dashed lines. 5. Visual Enhancements -Trade Level Highlighting: The script dynamically shades the areas between the entry price and SL/TP levels: - Red shading for the stop-loss region. - Green shading for the take-profit region. - Entry Price Line: A silver-colored line marks the average entry price for active trades. How to Use: 1.Input Configuration: Adjust the Risk-to-Reward ratio, max trades per day, and session end time to suit your trading preferences. 2.Visual Cues: Use the opening range high/low lines and shading to identify potential breakout opportunities. 3.Execution: The strategy will automatically enter and exit trades based on the conditions. Review the plotted SL and TP levels to monitor the risk-reward setup. Important Notes: - This strategy is designed for intraday trading and works best in markets with high volatility during the opening session. - Backtest the strategy on your preferred market and timeframe to ensure compatibility. - Proper risk management and position sizing are essential when using this strategy in live markets.
Estratégia Pine Script®
por Shivam_Mandrai
2
30-Minute Candle Strategy30-Minute Candle Trading Strategy This strategy works on a 30-minute candle timeframe. When a new 30-minute candle opens, the following actions will take place based on the previous 30-minute candle's closing price: Buy Trade Setup: If the market opens above the previous 30-minute candle's closing price, a buy trade will be executed immediately at the market price. The stop-loss will be set at the previous 30-minute candle's closing price. There will be no fixed target. The trade will be closed 1 minute before the current 30-minute candle closes, regardless of profit or loss. Sell Trade Setup: If a buy trade hits the stop-loss and the market moves below the previous 30-minute candle's closing price, a sell trade will be executed immediately at the market price. The stop-loss for the sell trade will also be set at the previous 30-minute candle's closing price. There will be no fixed target. The trade will be closed 1 minute before the current 30-minute candle closes, regardless of profit or loss. Procedure: This process will repeat for every 30-minute candle. If the market crosses the previous 30-minute candle's closing price to the upside, a buy trade will be executed, and the stop-loss will be set at the previous candle's closing price. If the market crosses the previous 30-minute candle's closing price to the downside, a sell trade will be executed, and the stop-loss will also be set at the previous candle's closing price. Each trade will be closed 1 minute before the current candle closes. Key Points: This strategy applies to every new 30-minute candle. The stop-loss will always be based on the previous 30-minute candle's closing price. If a stop-loss is hit, the strategy will automatically switch to the opposite trade (buy to sell or sell to buy) based on market movement crossing the previous candle's closing price. This is a repetitive and systematic approach to trading, ensuring the rules are followed for every 30-minute candle.
Estratégia Pine Script®
por singhekansh09
ICT Master Suite [Trading IQ]Hello Traders! We’re excited to introduce the ICT Master Suite by TradingIQ, a new tool designed to bring together several ICT concepts and strategies in one place. The Purpose Behind the ICT Master Suite There are a few challenges traders often face when using ICT-related indicators: Many available indicators focus on one or two ICT methods, which can limit traders who apply a broader range of ICT related techniques on their charts. There aren't many indicators for ICT strategy models, and we couldn't find ICT indicators that allow for testing the strategy models and setting alerts. Many ICT related concepts exist in the public domain as indicators, not strategies! This makes it difficult to verify that the ICT concept has some utility in the market you're trading and if it's worth trading - it's difficult to know if it's working! Some users might not have enough chart space to apply numerous ICT related indicators, which can be restrictive for those wanting to use multiple ICT techniques simultaneously. The ICT Master Suite is designed to offer a comprehensive option for traders who want to apply a variety of ICT methods. By combining several ICT techniques and strategy models into one indicator, it helps users maximize their chart space while accessing multiple tools in a single slot. Additionally, the ICT Master Suite was developed as a strategy . This means users can backtest various ICT strategy models - including deep backtesting. A primary goal of this indicator is to let traders decide for themselves what markets to trade ICT concepts in and give them the capability to figure out if the strategy models are worth trading! What Makes the ICT Master Suite Different There are many ICT-related indicators available on TradingView, each offering valuable insights. What the ICT Master Suite aims to do is bring together a wider selection of these techniques into one tool. This includes both key ICT methods and strategy models, allowing traders to test and activate strategies all within one indicator. Features The ICT Master Suite offers: Multiple ICT strategy models, including the 2022 Strategy Model and Unicorn Model, which can be built, tested, and used for live trading. Calculation and display of key price areas like Breaker Blocks, Rejection Blocks, Order Blocks, Fair Value Gaps, Equal Levels, and more. The ability to set alerts based on these ICT strategies and key price areas. A comprehensive, yet practical, all-inclusive ICT indicator for traders. Customizable Timeframe - Calculate ICT concepts on off-chart timeframes Unicorn Strategy Model 2022 Strategy Model Liquidity Raid Strategy Model OTE (Optimal Trade Entry) Strategy Model Silver Bullet Strategy Model Order blocks Breaker blocks Rejection blocks FVG Strong highs and lows Displacements Liquidity sweeps Power of 3 ICT Macros HTF previous bar high and low Break of Structure indications Market Structure Shift indications Equal highs and lows Swings highs and swing lows Fibonacci TPs and SLs Swing level TPs and SLs Previous day high and low TPs and SLs And much more! An ongoing project! How To Use Many traders will already be familiar with the ICT related concepts listed above, and will find using the ICT Master Suite quite intuitive! Despite this, let's go over the features of the tool in-depth and how to use the tool! The image above shows the ICT Master Suite with almost all techniques activated. ICT 2022 Strategy Model The ICT Master suite provides the ability to test, set alerts for, and live trade the ICT 2022 Strategy Model. The image above shows an example of a long position being entered following a complete setup for the 2022 ICT model. A liquidity sweep occurs prior to an upside breakout. During the upside breakout the model looks for the FVG that is nearest 50% of the setup range. A limit order is placed at this FVG for entry. The target entry percentage for the range is customizable in the settings. For instance, you can select to enter at an FVG nearest 33% of the range, 20%, 66%, etc. The profit target for the model generally uses the highest high of the range (100%) for longs and the lowest low of the range (100%) for shorts. Stop losses are generally set at 0% of the range. The image above shows the short model in action! Whether you decide to follow the 2022 model diligently or not, you can still set alerts when the entry condition is met. ICT Unicorn Model The image above shows an example of a long position being entered following a complete setup for the ICT Unicorn model. A lower swing low followed by a higher swing high precedes the overlap of an FVG and breaker block formed during the sequence. During the upside breakout the model looks for an FVG and breaker block that formed during the sequence and overlap each other. A limit order is placed at the nearest overlap point to current price. The profit target for this example trade is set at the swing high and the stop loss at the swing low. However, both the profit target and stop loss for this model are configurable in the settings. For Longs, the selectable profit targets are: Swing High Fib -0.5 Fib -1 Fib -2 For Longs, the selectable stop losses are: Swing Low Bottom of FVG or breaker block The image above shows the short version of the Unicorn Model in action! For Shorts, the selectable profit targets are: Swing Low Fib -0.5 Fib -1 Fib -2 For Shorts, the selectable stop losses are: Swing High Top of FVG or breaker block The image above shows the profit target and stop loss options in the settings for the Unicorn Model. Optimal Trade Entry (OTE) Model The image above shows an example of a long position being entered following a complete setup for the OTE model. Price retraces either 0.62, 0.705, or 0.79 of an upside move and a trade is entered. The profit target for this example trade is set at the -0.5 fib level. This is also adjustable in the settings. For Longs, the selectable profit targets are: Swing High Fib -0.5 Fib -1 Fib -2 The image above shows the short version of the OTE Model in action! For Shorts, the selectable profit targets are: Swing Low Fib -0.5 Fib -1 Fib -2 Liquidity Raid Model The image above shows an example of a long position being entered following a complete setup for the Liquidity Raid Modell. The user must define the session in the settings (for this example it is 13:30-16:00 NY time). During the session, the indicator will calculate the session high and session low. Following a “raid” of either the session high or session low (after the session has completed) the script will look for an entry at a recently formed breaker block. If the session high is raided the script will look for short entries at a bearish breaker block. If the session low is raided the script will look for long entries at a bullish breaker block. For Longs, the profit target options are: Swing high User inputted Lib level For Longs, the stop loss options are: Swing low User inputted Lib level Breaker block bottom The image above shows the short version of the Liquidity Raid Model in action! For Shorts, the profit target options are: Swing Low User inputted Lib level For Shorts, the stop loss options are: Swing High User inputted Lib level Breaker block top Silver Bullet Model The image above shows an example of a long position being entered following a complete setup for the Silver Bullet Modell. During the session, the indicator will determine the higher timeframe bias. If the higher timeframe bias is bullish the strategy will look to enter long at an FVG that forms during the session. If the higher timeframe bias is bearish the indicator will look to enter short at an FVG that forms during the session. For Longs, the profit target options are: Nearest Swing High Above Entry Previous Day High For Longs, the stop loss options are: Nearest Swing Low Previous Day Low The image above shows the short version of the Silver Bullet Model in action! For Shorts, the profit target options are: Nearest Swing Low Below Entry Previous Day Low For Shorts, the stop loss options are: Nearest Swing High Previous Day High Order blocks The image above shows indicator identifying and labeling order blocks. The color of the order blocks, and how many should be shown, are configurable in the settings! Breaker Blocks The image above shows indicator identifying and labeling order blocks. The color of the breaker blocks, and how many should be shown, are configurable in the settings! Rejection Blocks The image above shows indicator identifying and labeling rejection blocks. The color of the rejection blocks, and how many should be shown, are configurable in the settings! Fair Value Gaps The image above shows indicator identifying and labeling fair value gaps. The color of the fair value gaps, and how many should be shown, are configurable in the settings! Additionally, you can select to only show fair values gaps that form after a liquidity sweep. Doing so reduces "noisy" FVGs and focuses on identifying FVGs that form after a significant trading event. The image above shows the feature enabled. A fair value gap that occurred after a liquidity sweep is shown. Market Structure The image above shows the ICT Master Suite calculating market structure shots and break of structures! The color of MSS and BoS, and whether they should be displayed, are configurable in the settings. Displacements The images above show indicator identifying and labeling displacements. The color of the displacements, and how many should be shown, are configurable in the settings! Equal Price Points The image above shows the indicator identifying and labeling equal highs and equal lows. The color of the equal levels, and how many should be shown, are configurable in the settings! Previous Custom TF High/Low The image above shows the ICT Master Suite calculating the high and low price for a user-defined timeframe. In this case the previous day’s high and low are calculated. To illustrate the customizable timeframe function, the image above shows the indicator calculating the previous 4 hour high and low. Liquidity Sweeps The image above shows the indicator identifying a liquidity sweep prior to an upside breakout. The image above shows the indicator identifying a liquidity sweep prior to a downside breakout. The color and aggressiveness of liquidity sweep identification are adjustable in the settings! Power Of Three The image above shows the indicator calculating Po3 for two user-defined higher timeframes! Macros The image above shows the ICT Master Suite identifying the ICT macros! ICT Macros are only displayable on the 5 minute timeframe or less. Strategy Performance Table In addition to a full-fledged TradingView backtest for any of the ICT strategy models the indicator offers, a quick-and-easy strategy table exists for the indicator! The image above shows the strategy performance table in action. Keep in mind that, because the ICT Master Suite is a strategy script, you can perform fully automatic backtests, deep backtests, easily add commission and portfolio balance and look at pertinent metrics for the ICT strategies you are testing! Lite Mode Traders who want the cleanest chart possible can toggle on “Lite Mode”! In Lite Mode, any neon or “glow” like effects are removed and key levels are marked as strict border boxes. You can also select to remove box borders if that’s what you prefer! Settings Used For Backtest For the displayed backtest, a starting balance of $1000 USD was used. A commission of 0.02%, slippage of 2 ticks, a verify price for limit orders of 2 ticks, and 5% of capital investment per order. A commission of 0.02% was used due to the backtested asset being a perpetual future contract for a crypto currency. The highest commission (lowest-tier VIP) for maker orders on many exchanges is 0.02%. All entered positions take place as maker orders and so do profit target exits. Stop orders exist as stop-market orders. A slippage of 2 ticks was used to simulate more realistic stop-market orders. A verify limit order settings of 2 ticks was also used. Even though BTCUSDT.P on Binance is liquid, we just want the backtest to be on the safe side. Additionally, the backtest traded 100+ trades over the period. The higher the sample size the better; however, this example test can serve as a starting point for traders interested in ICT concepts. Community Assistance And Feedback Given the complexity and idiosyncratic applications of ICT concepts amongst its proponents, the ICT Master Suite’s built-in strategies and level identification methods might not align with everyone's interpretation. That said, the best we can do is precisely define ICT strategy rules and concepts to a repeatable process, test, and apply them! Whether or not an ICT strategy is trading precisely how you would trade it, seeing the model in action, taking trades, and with performance statistics is immensely helpful in assessing predictive utility. If you think we missed something, you notice a bug, have an idea for strategy model improvement, please let us know! The ICT Master Suite is an ongoing project that will, ideally, be shaped by the community. A big thank you to the @PineCoders for their Time Library! Thank you!
Estratégia Pine Script®
por Trading-IQ
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