Get started

Backtest

Session candles & reversals / quantifytools— Overview Like traditional candles, session based candles are a visualization of open, high, low and close values, but based on session time periods instead of typical timeframes such as daily or weekly. Session candles are formed by fetching price at session start (open), highest price during session (high), lowest price during session (low) and price at session end (close). On top of candles, session based moving average is formed and session reversals detected. Session reversals are also backtested, using win rate and magnitude metrics to better understand what to expect from session reversals and which ones have historically performed the best. By default, following session time periods are used: Session #1: London (08:00 - 17:00, UTC) Session #2: New York (13:00 - 22:00, UTC) Session #3: Sydney (21:00 - 06:00, UTC) Session #4: Tokyo (00:00 - 09:00, UTC) Session time periods can be changed via input menu. — Reversals Session reversals are patterns that show a rapid change in direction during session. These formations are more familiarly known as wicks or engulfing candles. Following criteria must be met to qualify as a session reversal: Wick up: Lower high, lower low, close >= 65% of session range (0% being the very low, 100% being the very high) and open >= 40% of session range. Wick down: Higher high, higher low, close <= 35% of session range and open <= 60% of session range. Engulfing up: Higher high, lower low, close >= 65% of session range. Engulfing down: Higher high, lower low, close <= 35% of session range. Session reversals are always based on prior corresponding session , e.g. to qualify as a NY session engulfing up, NY session must have a higher high and lower low relative to prior NY session , not just any session that has taken place in between. Session reversals should be viewed the same way wicks/engulfing formations are viewed on traditional timeframe based candles. Essentially, wick reversals (light green/red labels) tell you most of the motion during session was reversed. Engulfing reversals (dark green/red labels) on the other hand tell you all of the motion was reversed and new direction set. — Backtesting Session reversals are backtested using win rate and magnitude metrics. A session reversal is considered successful when next corresponding session closes higher/lower than session reversal close . Win rate is formed by dividing successful session reversal count with total reversal count, e.g. 5 successful reversals up / 10 reversals up total = 50% win rate. Win rate tells us what are the odds (historically) of session reversal producing a clean supporting move that was persistent enough to close that way too. When a session reversal is successful, its magnitude is measured using percentage increase/decrease from session reversal close to next corresponding session high/low . If NY session closes higher than prior NY session that was a reversal up, the percentage increase from prior session close (reversal close) to current session high is measured. If NY session closes lower than prior NY session that was a reversal down, the percentage decrease from prior session close to current session low is measured. Average magnitude is formed by dividing all percentage increases/decreases with total reversal count, e.g. 10 total reversals up with 1% increase each -> 10% net increase from all reversals -> 10% total increase / 10 total reversals up = 1% average magnitude. Magnitude metric supports win rate by indicating the depth of successful session reversal moves. To better understand the backtesting calculations and more importantly to verify their validity, backtesting visuals for each session can be plotted on the chart: All backtesting results are shown in the backtesting panel on top right corner, with highest win rates and magnitude metrics for both reversals up and down marked separately. Note that past performance is not a guarantee of future performance and session reversals as they are should not be viewed as a complete strategy for long/short plays. Always make sure reversal count is sufficient to draw reliable conclusions of performance. — Session moving average Users can form a session based moving average with their preferred smoothing method (SMA , EMA , HMA , WMA , RMA) and length, as well as choose which sessions to include in the moving average. For example, a moving average based on New York and Tokyo sessions can be formed, leaving London and Sydney completely out of the calculation. — Visuals By default, script hides your candles/bars, although in the case of candles borders will still be visible. Switching to bars/line will make your regular chart visuals 100% hidden. This setting can be turned off via input menu. As some sessions overlap, each session candle can be separately offsetted forward, clearing the overlaps. Users can also choose which session candles to show/hide. Session periods can be highlighted on the chart as a background color, applicable to only session candles that are activated. By default, session reversals are referred to as L (London), N (New York), S (Sydney) and T (Tokyo) in both reversal labels and backtesting table. By toggling on "Numerize sessions", these will be replaced with 1, 2, 3 and 4. This will be helpful when using a custom session that isn't any of the above. Visual settings example: Session candles are plotted in two formats, using boxes and lines as well as plotcandle() function. Session candles constructed using boxes and lines will be clear and much easier on the eyes, but will apply only to first 500 bars due to Tradingview related limitations. Rest of the session candles go back indefinitely, but won't be as clean: All colors can be customized via input menu. — Timeframe & session time period considerations As a rule of thumb, session candles should be used on timeframes at or below 1H, as higher timeframes might not match with session period start/end, leading to incorrect plots. Using 1 hour timeframe will bring optimal results as greatest amount historical data is available without sacrificing accuracy of OHLC values. If you are using a custom session that is not based on hourly period (e.g. 08:00 - 15:00 vs. 08.00 - 15.15) make sure you are using a timeframe that allows correct plots. Session time periods applied by default are rough estimates and might be out of bounds on some charts, like NYSE listed equities. This is rarely a problem on assets that have extensive trading hours, like futures or cryptocurrency. If a session is out of bounds (asset isn't traded during the set session time period) the script won't plot given session candle and its backtesting metrics will be NA. This can be fixed by changing the session time periods to match with given asset trading hours, although you will have to consider whether or not this defeats the purpose of having candles based on sessions. — Practical guide Whether based on traditional timeframes or sessions, reversals should always be considered as only one piece of evidence of price turning. Never react to them without considering other factors that might support the thesis, such as levels and multi-timeframe analysis. In short, same basic charting principles apply with session candles that apply with normal candles. Use discretion. Example #1 : Focusing efforts on session reversals at distinct support/resistance levels A reversal against a level holds more value than a reversal by itself, as you know it's a placement where liquidity can be expected. A reversal serves as a confirming reaction for this expectation. Example #2 : Focusing efforts on highest performing reversals and avoiding poorly performing ones As you have data backed evidence of session reversal performance, it makes sense to focus your efforts on the ones that perform best. If some session reversal is clearly performing poorly, you would want to avoid it, since there's nothing backing up its validity. Example #3 : Reversal clusters Two is better than one, three is better than two and so on. If there are rapid changes in direction within multiple sessions consecutively, there's heavier evidence of a dynamic shift in price. In such case, it makes sense to hold more confidence in price halting/turning.
Pine Script™ indicator
by quantifytools
11
Quantitative Backtesting Panel + ROI Table - ShortsThis script is an aggregate of a backtesting panel with quantitative metrics, ROI table and open ROI reader. It also contains a mechanism for having a fixed percentage stop loss, similar to native TV backtester. For shorts only. Backtesting Panel: - Certain metrics are color coded, with green being good performance, orange being neutral, red being undesirable. • ROI : return with the system, in % • ROI(COMP=1): return if money is compounded at a rate of 100% • Hit rate: accuracy of the system, as a % • Profit factor: gross profit/gross loss • Maximum drawdown: the maximum value from a peak to a successive trough of the system's equity curve • MAE: Maximum Adverse Excursion. The biggest loss of a trade suffered while the position is still open • Total trades: total number of closed trades • Max gain/max loss: shows the biggest win over the biggest loss suffered • Sharpe ratio: measures the performance of the system with adjusted risk (no comparison to risk-free asset) • CAGR: Compound Annual Growth Rate. The mean annual rate of growth of the system of n years (provided n>1) • Kurtosis: measures how heavily the tails of the distribution differ from that of a normal distribution (symmetric on both sides of mean where mean=0, standard deviation=1). A normal distribution has a kurtosis of 3, and skewness of 0. The kurtosis indicates whether or not the tails of the returns contain extreme values • Skewness: measures the symmetry of the distribution of returns - Leptokurtic: K > 0. Having more kurtosis than a normal distribution. It's stretched up and to the side too (2nd pic down). High kurtosis (leptokurtic) is bad as the wider tails (called heavy tails) suggest there is relatively high probability of extreme events - Mesokurtic: K =0. Having the same kurtosis as a normal distribution - Platykurtic: K < 0. Having less kurtosis than a normal distribution. This suggests there are light tails and fewer extreme events in the distribution - Skewness is good: +/- 0.5 (fairly symmetrical) - Skewness is average: -1 to -0.5 or 0.5 to 1 (moderately skewed) - Skewness is bad: > +/- 1 (highly skewed) Evolving ROI table: - The table of ROI values evolve with the year and month. The sum of each year is given. Please avoid using it on non-cryptocurrencies or any market whose trading session is not 24/7 Open ROI reader: - At the top center is the open ROI of a trade
Pine Script™ indicator
by bitmexstorm
Quantitative Backtesting Panel + ROI Table - LongsThis script is an aggregate of a backtesting panel with quantitative metrics, ROI table and open ROI reader. It also contains a mechanism for having a fixed percentage stop loss, similar to native TV backtester. For longs only. Backtesting Panel: - Certain metrics are color coded, with green being good performance, orange being neutral, red being undesirable. • ROI : return with the system, in % • ROI(COMP=1): return if money is compounded at a rate of 100% • Hit rate: accuracy of the system, as a % • Profit factor: gross profit/gross loss • Maximum drawdown: the maximum value from a peak to a successive trough of the system's equity curve • MAE: Maximum Adverse Excursion. The biggest loss of a trade suffered while the position is still open • Total trades: total number of closed trades • Max gain/max loss: shows the biggest win over the biggest loss suffered • Sharpe ratio: measures the performance of the system with adjusted risk (no comparison to risk-free asset) • CAGR: Compound Annual Growth Rate. The mean annual rate of growth of the system of n years (provided n>1) • Kurtosis: measures how heavily the tails of the distribution differ from that of a normal distribution (symmetric on both sides of mean where mean=0, standard deviation=1). A normal distribution has a kurtosis of 3, and skewness of 0. The kurtosis indicates whether or not the tails of the returns contain extreme values • Skewness: measures the symmetry of the distribution of returns - Leptokurtic: K > 0. Having more kurtosis than a normal distribution. It's stretched up and to the side too (2nd pic down). High kurtosis (leptokurtic) is bad as the wider tails (called heavy tails) suggest there is relatively high probability of extreme events - Mesokurtic: K =0. Having the same kurtosis as a normal distribution - Platykurtic: K < 0. Having less kurtosis than a normal distribution. This suggests there are light tails and fewer extreme events in the distribution - Skewness is good: +/- 0.5 (fairly symmetrical) - Skewness is average: -1 to -0.5 or 0.5 to 1 (moderately skewed) - Skewness is bad: > +/- 1 (highly skewed) Evolving ROI table: - The table of ROI values evolve with the year and month. The sum of each year is given. Please avoid using it on non-cryptocurrencies or any market whose trading session is not 24/7 Open ROI reader: - At the top center is the open ROI of a trade
Pine Script™ indicator
by bitmexstorm
5
[MT] Strategy Backtest Template| Initial Release | | EN | An update of my old script, this script is designed so that it can be used as a template for all those traders who want to save time when programming their strategy and backtesting it, having functions already programmed that in normal development would take you more time to program, with this template you can simply add your favorite indicator and thus be able to take advantage of all the functions that this template has. 🔴Stop Loss and 🟢Take Profit: No need to mention that it is a Stop Loss and a Take Profit, within these functions we find the options of: fixed percentage (%), fixed price ($), ATR, especially for Stop Loss we find the Pivot Points, in addition to this, the price range between the entry and the Stop Loss can be converted into a trailing stop loss, instead, especially for the Take Profit we have an option to choose a 1:X ratio that complements very well with the Pivot Points. 📈Heikin Ashi Based Entries: Heikin Ashi entries are trades that are calculated based on Heikin Ashi candles but their price is executed to Japanese candles, thus avoiding false results that occur in Heikin candlestick charts, this making in certain cases better results in strategies that are executed with this option compared to Japanese candlesticks. 📊Dashboard: A more visual and organized way to see the results and necessary data produced by our strategy, among them we can see the dates between which our operations are made regardless if you have activated some time filter, usual data such as Profit, Win Rate, Profit factor are also displayed in this panel, additionally data such as the total number of operations, how many were gains and how many losses, the average profit and loss for each operation and finally the maximum profits and losses followed, which are data that will be very useful to us when we elaborate our strategies. Feel free to use this template to program your own strategies, if you find errors or want to request a new feature let me know in the comments or through my social networks found in my tradingview profile. | Update 1.1 | | EN | ➕Additions: ' Time sessions filter and days of the week filter added to the time filter section. Option to add leverage to the strategy. 5 Moving Averages, RSI, Stochastic RSI, ADX, and Parabolic Sar have been added as indicators for the strategy. You can choose from the 6 available indicators the way to trade, entry alert or entry filter. Added the option of ATR for Take Profit. Ticker information and timeframe are now displayed on the dashboard. Added display customization and color customization of indicator plots. Added customization of display and color plots of trades displayed on chart. 📝Changes: Now when activating the time filter it is optional to add a start or end date and time, being able to only add a start date or only an end date. Operation plots have been changed from plot() to line creation with line.new(). Indicator plots can now be controlled from the "plots" section. Acceptable and deniable range of profit, winrate and profit factor can now be chosen from the "plots" section to be displayed on the dashboard. Aesthetic changes in the section separations within the settings section and within the code itself. The function that made the indicators give inputs based on heikin ashi candles has been changed, see the code for more information. ⚙️Fixes: Dashboard label now projects correctly on all timeframes including custom timeframes. Removed unnecessary lines and variables to take up less code space. All code in general has been optimized to avoid the use of variables, unnecessary lines and avoid unnecessary calculations, freeing up space to declare more variables and be able to use fewer lines of code. | Lanzamiento Inicial | | ES | Una actualización de mi antiguo script, este script está diseñado para que pueda ser usado como una plantilla para todos aquellos traders que quieran ahorrar tiempo al programar su estrategia y hacer un backtesting de ella, teniendo funciones ya programadas que en el desarrollo normal te tomaría más tiempo programar, con esta plantilla puedes simplemente agregar tu indicador favorito y así poder aprovechar todas las funciones que tiene esta plantilla. 🔴Stop Loss y 🟢Take Profit: No hace falta mencionar que es un Stop Loss y un Take Profit, dentro de estas funciones encontramos las opciones de: porcentaje fijo (%), precio fijo ($), ATR, en especial para Stop Loss encontramos los Pivot Points, adicionalmente a esto, el rango de precio entre la entrada y el Stop Loss se puede convertir en un trailing stop loss, en cambio, especialmente para el Take Profit tenemos una opción para elegir un ratio 1:X que se complementa muy bien con los Pivot Points. 📈Entradas Basadas en Heikin Ashi: Las entradas Heikin Ashi son operaciones que son calculados en base a las velas Heikin Ashi pero su precio esta ejecutado a velas japonesas, evitando así́ los falsos resultados que se producen en graficas de velas Heikin, esto haciendo que en ciertos casos se obtengan mejores resultados en las estrategias que son ejecutadas con esta opción en comparación con las velas japonesas. 📊Panel de Control: Una manera más visual y organizada de ver los resultados y datos necesarios producidos por nuestra estrategia, entre ellos podemos ver las fechas entre las que se hacen nuestras operaciones independientemente si se tiene activado algún filtro de tiempo, datos usuales como el Profit, Win Rate, Profit factor también son mostrados en este panel, adicionalmente se agregaron datos como el número total de operaciones, cuantos fueron ganancias y cuantos perdidas, el promedio de ganancias y pérdidas por cada operación y por ultimo las máximas ganancias y pérdidas seguidas, que son datos que nos serán muy útiles al elaborar nuestras estrategias. Siéntete libre de usar esta plantilla para programar tus propias estrategias, si encuentras errores o quieres solicitar una nueva función házmelo saber en los comentarios o a través de mis redes sociales que se encuentran en mi perfil de tradingview. | Actualización 1.1 | | ES | ➕Añadidos: Filtro de sesiones de tiempo y filtro de días de la semana agregados al apartado de filtro de tiempo. Opción para agregar apalancamiento a la estrategia. 5 Moving Averages, RSI, Stochastic RSI, ADX, y Parabolic Sar se han agregado como indicadores para la estrategia. Puedes escoger entre los 6 indicadores disponibles la forma de operar, alerta de entrada o filtro de entrada. Añadido la opción de ATR para Take Profit. La información del ticker y la temporalidad ahora se muestran en el dashboard. Añadido personalización de visualización y color de los plots de indicadores. Añadido personalización de visualización y color de los plots de operaciones mostradas en grafica. 📝Cambios: Ahora al activar el filtro de tiempo es opcional añadir una fecha y hora de inicio o fin, pudiendo únicamente agregar una fecha de inicio o solamente una fecha de fin. Los plots de operaciones han cambiados de plot() a creación de líneas con line.new(). Los plots de indicadores ahora se pueden controlar desde el apartado "plots". Ahora se puede elegir el rango aceptable y negable de profit, winrate y profit factor desde el apartado "plots" para mostrarse en el dashboard. Cambios estéticos en las separaciones de secciones dentro del apartado de configuraciones y dentro del propio código. Se ha cambiado la función que hacía que los indicadores dieran entradas en base a velas heikin ashi, mire el código para más información. ⚙️Arreglos: El dashboard label ahora se proyecta correctamente en todas las temporalidades incluyendo las temporalidades personalizadas. Se han eliminado líneas y variables innecesarias para ocupar menos espacio en el código. Se ha optimizado todo el código en general para evitar el uso de variables, líneas innecesarias y evitar los cálculos innecesarios, liberando espacio para declarar más variables y poder utilizar menos líneas de código.
Pine Script™ strategy
by VertMT
14
Catching the Bottom (by Coinrule)This script utilises the RSI and EMA indicators to enter and close the trade. The relative strength index (RSI) is a momentum indicator used in technical analysis. RSI measures the speed and magnitude of a security's recent price changes to evaluate overvalued or undervalued conditions in the price of that security. The RSI is displayed as an oscillator (a line graph) on a scale of zero to 100. The RSI can do more than point to overbought and oversold securities. It can also indicate securities that may be primed for a trend reversal or corrective pullback in price. It can signal when to buy and sell. Traditionally, an RSI reading of 70 or above indicates an overbought situation. A reading of 30 or below indicates an oversold condition. An exponential moving average (EMA) is a type of moving average (MA) that places a greater weight and significance on the most recent data points. The exponential moving average is also referred to as the exponentially weighted moving average. An exponentially weighted moving average reacts more significantly to recent price changes than a simple moving average simple moving average (SMA), which applies an equal weight to all observations in the period. The strategy enters and exits the trade based on the following conditions. ENTRY RSI has a decrease of 3. RSI <40. EMA100 has crossed above the EMA50. EXIT RSI is greater than 65. EMA9 has crossed above EMA50. This strategy is back tested from 1 April 2022 to simulate how the strategy would work in a bear market and provides good returns. Pairs that produce very strong results include ETH on the 5m timeframe, BNB on 5m timeframe, XRP on the 45m timeframe, MATIC on the 30m timeframe and MATIC on the 2H timeframe. The strategy assumes each order is using 30% of the available coins to make the results more realistic and to simulate you only ran this strategy on 30% of your holdings. A trading fee of 0.1% is also taken into account and is aligned to the base fee applied on Binance.
Pine Script™ strategy
by Coinrule
[fpemehd] Strategy TemplateHello Guys! Nice to meet you all! This is my fourth script! This is the Strategy Template for traders who wants to make their own strategy. I made this based on the open source strategies by jason5480, kevinmck100, myncrypto. Thank you All! ### StopLoss 1. Can Choose Stop Loss Type: Percent, ATR, Previous Low / High. 2. Can Chosse inputs of each Stop Loss Type. ### Take Profit 1. Can set Risk Reward Ratio for Take Profit. - To simplify backtest, I erased all other options except RR Ratio. - You can add Take Profit Logic by adding options in the code. 2. Can set Take Profit Quantity. ### Risk Manangement 1. Can choose whether to use Risk Manangement Logic. - This controls the Quantity of the Entry. - e.g. If you want to take 3% risk per trade and stop loss price is 6% below the long entry price, then 50% of your equity will be used for trade. 2. Can choose How much risk you would take per trade. ### Plot 1. Added Labels to check the data of entry / exit positions. 2. Changed and Added color different from the original one. (green: #02732A, red: #D92332, yellow: #F2E313)
Pine Script™ strategy
by DuDu95
1
Coral Trend Pullback Strategy (TradeIQ)Description: Strategy is taken from the TradeIQ YouTube video called "I Finally Found 80% Win Rate Trading Strategy For Crypto". Check out the full video for further details/clarification on strategy entry/exit conditions. The default settings are exactly as TradeIQ described in his video. However I found some better results by some tweaking settings, increasing R:R ratio and by turning off confirmation indicators. This would suggest that perhaps the current confirmation indicators are not the best options. I'm happy to try add some other optional confirmation indicators if they look to be more effective. Recommended timeframe: 1H Strategy incorporates the following features: Risk management: Configurable X% loss per stop loss Configurable R:R ratio Trade entry: Based on strategy conditions below Trade exit: Based on strategy conditions below Backtesting: Configurable backtesting range by date Trade drawings: Each entry condition indicator can be turned on and off TP/SL boxes drawn for all trades. Can be turned on and off Trade exit information labels. Can be turned on and off NOTE: Trade drawings will only be applicable when using overlay strategies Alerting: Alerts on LONG and SHORT trade entries Debugging: Includes section with useful debugging techniques Strategy conditions Trade entry: LONG C1: Coral Trend is bullish C2: At least 1 candle where low is above Coral Trend since last cross above Coral Trend C3: Pullback happens and price closes below Coral Trend C4: Coral Trend colour remains bullish for duration of pullback C5: After valid pullback, price then closes above Coral Trend C6: Optional confirmation indicators (choose either C6.1 or C6.2 or NONE): C6.1: ADX and DI (Single indicator) C6.1.1: Green line is above red line C6.1.2: Blue line > 20 C6.1.3: Blue trending up over last 1 candle C6.2: Absolute Strengeh Histogram + HawkEye Volume Indicator (Two indicators combined) C6.2.1: Absolute Strengeh Histogram colour is blue C6.2.2: HawkEye Volume Indicator colour is green SHORT C1: Coral Trend is bearish C2: At least 1 candle where high is below Coral Trend since last cross below Coral Trend C3: Pullback happens and price closes above Coral Trend C4: Coral Trend colour remains bearish for duration of pullback C5: After valid pullback, price then closes below Coral Trend C6: Optional confirmation indicators (choose either C6.1 or C6.2 or NONE): C6.1: ADX and DI (Single indicator) C6.1.1: Red line is above green line C6.1.2: Blue line > 20 C6.1.3: Blue trending up over last 1 candle C6.2: Absolute Strengeh Histogram + HawkEye Volume Indicator (Two indicators combined) C6.2.1: Absolute Strengeh Histogram colour is red C6.2.2: HawkEye Volume Indicator colour is red NOTE: All the optional confirmation indicators cannot be overlayed with Coral Trend so feel free to add each separately to the chart for visual purposes Trade exit: Stop Loss: Calculated by recent swing low over previous X candles (configurable with "Local High/Low Lookback") Take Profit: Calculated from R:R multiplier * Stop Loss size Credits Strategy origin: TradeIQ's YouTube video called "I Finally Found 80% Win Rate Trading Strategy For Crypto" It combines the following indicators for trade entry conditions: Coral Trend Indicator by @LazyBear (Main indicator) Absolute Strength Histogram | jh by @jiehonglim (Optional confirmation indicator) Indicator: HawkEye Volume Indicator by @LazyBear (Optional confirmation indicator) ADX and DI by @BeikabuOyaji (Optional confirmation indicator)
Pine Script™ strategy
by kevinmck100
16
AlgoTrade DCA Bot Backtester█  OVERVIEW This script can be used to backtest DCA Bots. It draws inspiration from 3Commas and has most settings that are available on 3Commas. It contains a few popular DCA Bot Presets that are well known in the community for you to test out! Preset used here: Kirigakure V4 █  FEATURES DCA Preset (Custom, Standard TA,Urma Lite V3,Kirigakure V1,Kirigakure V3,Kirigakure V4) Order Size Type (Fixed/% of equity to simulate compounding) Base Order Size Safety Order Size Max Safety Trades Count Price Deviation to open safety order % Safety Order Volume Scale Safety Order Step Scale Take Profit % Use ADR (Average Daily Range) as Take Profit ADR length (if ADR as take profit is enabled) Take Profit Type (% from total volume / % from base order) Trailing Take Profit Stop Loss Deal Start Condition (Start ASAP) ▶ More Deal Starting Conditions will be added in the future Bot Direction (Long / Short) Start Time ▶ 1999-01-01 (Use this to always backtest the entire history) End Time This strategy also allows you to plot the Average Price and Take Profit of each trade, so it's easier to follow the trade and understand what's happening. █  HOW TO USE 1. Select a DCA Preset and change the initial capital to the exact amount that is required (seen in the error message on top of the table). When using a Preset the following settings will be locked, meaning if you change them in the script's settings it won't have any effect: Base Order Size Safety Order Size Max Safety Trades Count Price Deviation to open safety order % Safety Order Volume Scale Safety Order Step Scale Use ADR (Average Daily Range) as Take Profit 1.1 When using Presets you can choose the Order Size Type of Fixed or % of equity which simulates compounding 1.2 Choose a Direction and a Start and End Time 2. To backtest customized settings choose the preset "Custom" 2.1 All other settings are now "unlocked" and can be used █  LIMITATIONS Whenever a DCA preset is changed the initial_capital needs to be changed to the exact amount the settings require. If the initial_capital is not the same there will be an error of top of the table. To fix this error navigate to the Script's Settings and Properties and change the initial_capital to the same amount that is stated in the error. DCA Bots with a high number of safety orders, e.g. 100, can run into an error that says "Maximum number of orders (9000) reached". If this error happens change the backtesting time to a shorter timeframe. Using % of equity simulates compounding but is unrealistic because you cannot re-invest every single dollar █  THANKS This script in insipred by rouxam's "Backtesting 3commas DCA Bot v2" script
Pine Script™ strategy
by AlgoTrade3107
3
Simple and Profitable Scalping Strategy (ForexSignals TV)Strategy is based on the "SIMPLE and PROFITABLE Forex Scalping Strategy" taken from YouTube channel ForexSignals TV. See video for a detailed explaination of the whole strategy. I'm not entirely happy with the performance of this strategy yet however I do believe it has potential as the concept makes a lot of sense. I'm open to any ideas people have on how it could be improved. Strategy incorporates the following features: Risk management: Configurable X% loss per stop (default to 1%) Configurable R:R ratio Trade entry: Based on stratgey conditions outlined below Trade exit: Based on stratgey conditions outlined below Backtesting: Configurable backtesting range by date Trade drawings: Each entry condition indicator can be turned on and off TP/SL boxes drawn for all trades. Can be turned on and off Trade exit information labels. Can be turned on and off NOTE: Trade drawings will only be applicable when using overlay strategies Debugging: Includes section with useful debugging techniques Strategy conditions Trade entry: LONG C1: On higher timeframe trend EMAs, Fast EMA must be above Slow EMA C2: On higher timeframe trend EMAs, price must be above Fast EMA C3: On current timeframe entry EMAs, Fast EMA must be above Medium EMA and Medium EMA must be above Slow EMA C4: On current timeframe entry EMAs, all 3 EMA lines must have fanned out in upward direction for previous X candles (configurable) C5: On current timeframe entry EMAs, previous candle must have closed above and not touched any EMA lines C6: On current timeframe entry EMAs, current candle must have pulled back to touch the EMA line(s) C7: Price must break through the high of the last X candles (plus price buffer) to trigger entry (stop order entry) SHORT C1: On higher timeframe trend EMAs, Fast EMA must be below Slow EMA C2: On higher timeframe trend EMAs, price must be below Fast EMA C3: On current timeframe entry EMAs, Fast EMA must be below Medium EMA and Medium EMA must be below Slow EMA C4: On current timeframe entry EMAs, all 3 EMA lines must have fanned out in downward direction for previous X candles (configurable) C5: On current timeframe entry EMAs, previous candle must have closed above and not touched any EMA lines C6: On current timeframe entry EMAs, current candle must have pulled back to touch the EMA line(s) C7: Price must break through the low of the last X candles (plus price buffer) to trigger entry (stop order entry) Trade entry: Calculated position size based on risk tolerance Entry price is a stop order set just above (buffer configurable) the recent swing high/low (long/short) Trade exit: Stop Loss is set just below (buffer configurable) trigger candle's low/high (long/short) Take Profit calculated from Stop Loss using R:R ratio Credits "SIMPLE and PROFITABLE Forex Scalping Strategy" taken from YouTube channel ForexSignals TV
Pine Script™ strategy
by kevinmck100
SUPPORT RESISTANCE STRATEGY [5MIN TF]A SUPPORT RESISTANCE BREAKOUT STRATEGY for 5 minute Time-Frame , that has the time condition for Indian Markets The Timing can be changed to fit other markets, scroll down to "TIME CONDITION" to know more. The commission is also included in the strategy . The basic idea is when , 1) Price crosses above Resistance Level ,indicated by Red Line, is a Long condition. 2) Price crosses below Support Level ,indicated by Green Line , is a Short condition. 3) Candle high crosses above ema1, is a part of the Long condition . 4) Candle low crosses below ema1, is a part of the Short condition . 5) Volume Threshold is an added confirmation for long/short positions. 6) Maximum Risk per trade for the intraday trade can be changed . 7) Default qty size is set to 50 contracts , which can be changed under settings → properties → order size. 8) ATR is used for trailing after entry, as mentioned in the inputs below. // ═════════════════════════// // ————————> INPUTS <————————— // // ═════════════════════════// → L_Bars ———————————> Length of Resistance / Support Levels. → R_Bars ———————————> Length of Resistance / Support Levels. → Volume Break ———————> Volume Breakout from range to confirm Long/Short position. → Price Cross Ema —————> Added condition as explained above (3) and (4). → ATR LONG —————————> ATR stoploss trail for Long positions. → ATR SHORT ————————> ATR stoploss trail for Short positions. → RISK ————————————> Maximum Risk per trade intraday. The strategy was back-tested on TCS ,the input values and the results are mentioned under "BACKTEST RESULTS" below. // ═════════════════════════ // // ————————> PROPERTIES<——————— // // ═════════════════════════ // Default_qty_size ————> 50 contracts , which can be changed under Settings ↓ Properties ↓ Order size // ═══════════════════════════════// // ————————> TIME CONDITION <————————— // // ═══════════════════════════════// The time can be changed in the script , Add it → click on ' { } ' → Pine editor→ making it a copy [right top corner} → Edit the line 27. The Indian Markets open at 9:15am and closes at 3:30pm. The 'time_cond' specifies the time at which Entries should happen . "Close All" function closes all the trades at 3pm , at the open of the next candle. To change the time to close all trades , Go to Pine Editor → Edit the line 92 . All open trades get closed at 3pm , because some brokers don't allow you to place fresh intraday orders after 3pm . // ═══════════════════════════════════════════════ // // ————————> BACKTEST RESULTS ( 100 CLOSED TRADES )<————————— // // ═══════════════════════════════════════════════ // INPUTS can be changed for better Back-Test results. The strategy applied to NSE:TCS ( 5 min Time-Frame and contract size 50) gives us 60% profitability , as shown below It was tested for a period a 6 months with a Profit Factor of 1.8 ,net Profit of 30,000 Rs profit . Sharpe Ratio : 0.49 Sortino Ratio : 1.4 The graph has a Linear Curve with Consistent Profits. The INPUTS are as follows, 1) L_Bars —————————> 4 2) R_Bars —————————> 4 3) Volume Break ————> 5 4) Price Cross Ema ——> 100 5) ATR LONG ——————> 2.4 6) ATR SHORT —————> 2.6 7) RISK —————————> 2000 8) Default qty size ——> 50 NSE:TCS Save it to favorites. Apply it to your charts Now !! Thank You ☺ NSE:TCS
Pine Script™ strategy
by The_Algo_Engineer
1
SSL + Wave Trend StrategyStrategy incorporates the following features: Risk management: Configurable X% loss per stop loss Configurable R:R ratio Trade entry: Based on strategy conditions below Trade exit: Based on strategy conditions below Backtesting: Configurable backtesting range by date Trade drawings: Each entry condition indicator can be turned on and off TP/SL boxes drawn for all trades. Can be turned on and off Trade exit information labels. Can be turned on and off NOTE: Trade drawings will only be applicable when using overlay strategies Alerting: Alerts on LONG and SHORT trade entries Debugging: Includes section with useful debugging techniques Strategy conditions Trade entry: LONG C1: SSL Hybrid baseline is BLUE C2: SSL Channel crosses up (green above red) C3: Wave Trend crosses up (represented by pink candle body) C4: Entry candle height is not greater than configured threshold C5: Entry candle is inside Keltner Channel (wicks or body depending on configuration) C6: Take Profit target does not touch EMA (represents resistance) SHORT C1: SSL Hybrid baseline is RED C2: SSL Channel crosses down (red above green) C3: Wave Trend crosses down (represented by orange candle body) C4: Entry candle height is not greater than configured threshold C5: Entry candle is inside Keltner Channel (wicks or body depending on configuration) C6: Take Profit target does not touch EMA (represents support) Trade exit: Stop Loss: Size configurable with NNFX ATR multiplier Take Profit: Calculated from Stop Loss using R:R ratio Credits Strategy is based on the YouTube video "This Unique Strategy Made 47% Profit in 2.5 Months " by TradeSmart. It combines the following indicators to determine trade entry/exit conditions: Wave Trend: Indicator: WaveTrend Oscillator by @LazyBear SSL Channel: SSL channel by @ErwinBeckers SSL Hybrid: SSL Hybrid by @Mihkel00 Keltner Channels: Keltner Channels Bands by @ceyhun Candle Height: Candle Height in Percentage - Columns by @FreeReveller NNFX ATR: NNFX ATR by @sueun123
Pine Script™ strategy
by kevinmck100
7
Risk Management Strategy TemplateThis strategy is intended to be used as a base template for building new strategies. It incorporates the following features: Risk management: Configurable X% loss per stop loss Configurable R:R ratio Trade entry: Calculated position size based on risk tolerance Trade exit: Stop Loss currently configurable ATR multiplier but can be replaced based on strategy Take Profit calculated from Stop Loss using R:R ratio Backtesting: Configurable backtesting range by date Trade drawings: TP/SL boxes drawn for all trades. Can be turned on and off Trade exit information labels. Can be turned on and off NOTE: Trade drawings will only be applicable when using overlay strategies Debugging: Includes section with useful debugging techniques Strategy conditions Trade entry: LONG C1: Price is above EMA line C2: RSI is crossing out of oversold area SHORT C1: Price is below EMA line C2: RSI is crossing out of overbought area Trade exit: Stop Loss: Stop Loss ATR multiplier is hit Take Profit: R:R multiplier * Stop Loss is hit The idea is to use RSI to catch pullbacks within the main trend. Note that this strategy is intended to be a simple base strategy for building upon. It was not designed to be traded in its current form.
Pine Script™ strategy
by kevinmck100
10
TTP Kent Strat PROKent Strat PRO trades breakouts using Bollinger Bands together with SuperTrend. PRO features: - 3commas bot alerts for long/short bots - Custom JSON bots alerts Features: - Risk/reward ratio parameter - Longs, shorts and combined positions. - Breakout settings - Trailing SL, trailing TP - Use of latest candles to place the SL using a lookback parameter (how many candles to look back for a low/high price) - Select your SL between the ATR trendline and the latest candle: the closest or furthest away value - Show the trendline - Backtest mode for accurate backtests - Signal mode for live price accurate signals - Date range backtesting Filters: - EMA 200 filter and timeframe selector. This filter can be used to trade with the trend: open longs on an uptrend and shorts on a downtrend. - ADX filter using threshold. This filter can be used to filter entries where the trend is not very strong. - ADX pointing up. ADX values pointing up and above certain threshold can improve entries. - Relative volume filter based on the volume being X% above the MA of the Volume. Trading with volume can help filtering out bad trades. Example setup: 1) pick BINANCE:ETHUSDT chart, 15 min chart 2) trade longs + shorts 3) pick ratio 3 4) trailing SL checked 5) trailing TP unchecked 7) stop loss "furthest" 8) candle loopback 30 9) BB period 21, dev 1, ATR filter on, atr period 5 10) EMA filter on, 15 min 11) ADX off 12) Volume filter on set to 60%
Pine Script™ strategy
by TheTradingParrot
4
TTP Kent StratKent Strat trades breakouts using Bollinger Bands together with SuperTrend. Features: - Risk/reward ratio parameter - Longs, shorts and combined positions. - Breakout settings - Trailing SL, trailing TP - Use of latest candles to place the SL using a lookback parameter (how many candles to look back for a low/high price) - Select your SL between the ATR trendline and the latest candle: the closest or furthest away value - Show the trendline - Backtest mode for accurate backtests - Signal mode for live price accurate signals - Date range backtesting Filters: - EMA 200 filter and timeframe selector. This filter can be used to trade with the trend: open longs on an uptrend and shorts on a downtrend. - ADX filter using threshold. This filter can be used to filter entries where the trend is not very strong. - ADX pointing up. ADX values pointing up and above certain threshold can improve entries. - Relative volume filter based on the volume being X% above the MA of the Volume. Trading with volume can help filtering out bad trades. Example setup: 1) pick BINANCE:ETHUSDT chart, 15 min chart 2) trade longs + shorts 3) pick ratio 3 4) trailing SL checked 5) trailing TP unchecked 7) stop loss "furthest" 8) candle loopback 30 9) BB period 21, dev 1, ATR filter on, atr period 5 10) EMA filter on, 15 min 11) ADX off 12) Volume filter on set to 60%
Pine Script™ strategy
by TheTradingParrot
2
X48 - Strategy | MA Type Cross + TPSL | Future&Spot | V.2Thank You For Open Source Code, This Strategy Ref. By 1.Simple Strategy Like MA Crossover For Long/Short or Spot Trade, 2. CDC Action Zone V.2 for BarPaint This Strategy Mixing With MA Crossover Strategy and BarPaint By CDC Action Zone and TP/SL by Varbara ### How To Use Strategy : Setting EMA/SMA Crossover EMA/SMA, Any Value If You Want For Long Position : Cross Up For Short Position : Cross Down Can Use With Spot Trade : Cross Up = Buy, Cross Down = Sell TP/SL When Your OrderSize Change From any % Of Your TP/SL Value ### In Strategy Setting Intitial Capital = Ex. 200 Order Size = Should Be Money Management Not Use 100% of Capital Ex. 10% of Capital (200$) = Order Size 20$ StopLoss and Take Profit = If You Run Trend TF 4H+ or 1D+ You Can Change TP% = 1,000% for nonlimit and Stop Loss 5 - 20% from your order size Ex. Stoploss 15% = OrderSize / 100 x %SL = 20$/100 x 15% = 3$ Loss from order size 20$ (if you not set stop loss.) Base Currency = (Your Currency) # Ex. USD Commission = (Your Trading Fee) # Ex. Future Fee Can Check At Binance Fee Rate > www.binance.com > Choose Your Fee Type, Ex. USD M Future (Regular User) = 0.02 (Maker), 0.04 (Taker) Commission Symbol Type = % # (Ref. By Binance Fee Rate) ### Notice #### Default Setting It's Realistic From Normal Life Ex. Capital 200$ / Ordersize 20$ (10%)/ Commission 0.1% (Buy+Sell) / Slippage = 2 / TP = 1000% (nonlimit) / SL = 15%/OrderSize Low Risk But High Return, Good Luck ### Bot Auto Trade by X4815162342 ### if you wanna try my bot auto trade X48-3in1-bot : Contact My Line ID : x4815x Full Command Alert For This Strategy If You Wanna See It's '{"ex":"'+markettype+'","side": "'+longcommand+'", "amount": "@{{strategy.order.contracts}}", "symbol": "{{ticker}}", "passphrase": "'+passphrase+'","leverage":"'+str.tostring(leveragex)+'"}' '{"ex":"'+markettype+'","side": "'+shortcommand+'", "amount": "@{{strategy.order.contracts}}", "symbol": "{{ticker}}", "passphrase": "'+passphrase+'","leverage":"'+str.tostring(leveragex)+'"}' But Easy Than Full Command Just Use Thisssssss !! Strategy Be Manage Auto Long and Short or TPSL Position You Don't Do Anything Just Use This Message to Alerts Message {{strategy.order.alert_message}} ### If you don't use bot but just looking for strategy test #### Just Pass Bot Setting Function It's Nothing Effect For Strategy !!!!!! Let's Enjoy With Your Strategy BackTest 😁 Remember Beware Max drawdown%. I'm Recommend Lower Than 10% It's Very Good.
Pine Script™ strategy
by X4815162342
7
STD-Filtered, Gaussian-Kernel-Weighted Moving Average BT [Loxx]STD-Filtered, Gaussian-Kernel-Weighted Moving Average BT is the backtest for the following indicator Included: This backtest uses a special implementation of ATR and ATR smoothing called "True Range Double" which is a range calculation that accounts for volatility skew. You can set the backtest to 1-2 take profits with stop-loss Signals can't exit on the same candle as the entry, this is coded in a way for 1-candle delay post entry This should be coupled with the INDICATOR version linked above for the alerts and signals. Strategies won't paint the signal "L" or "S" until the entry actually happens, but indicators allow this, which is repainting on current candle, but this is an FYI if you want to get serious with Pinescript algorithmic botting You can restrict the backtest by dates It is advised that you understand what Heikin-Ashi candles do to strategies, the default settings for this backtest is NON Heikin-Ashi candles but you have the ability to change that in the source selection This is a mathematically heavy, heavy-lifting strategy. Make sure you do your own research so you understand what is happening here. STD-Filtered, Gaussian-Kernel-Weighted Moving Average is a moving average that weights price by using a Gaussian kernel function to calculate data points. This indicator also allows for filtering both source input price and output signal using a standard deviation filter. Purpose This purpose of this indicator is to take the concept of Kernel estimation and apply it in a way where instead of predicting past values, the weighted function predicts the current bar value at each bar to create a moving average that is suitable for trading. Normally this method is used to create an array of past estimators to model past data but this method is not useful for trading as the past values will repaint. This moving average does NOT repaint, however you much allow signals to close on the current bar before taking the signal. You can compare this to Nadaraya-Watson Estimator wherein they use Nadaraya-Watson estimator method with normalized kernel weighted function to model price. What are Kernel Functions? A kernel function is used as a weighing function to develop non-parametric regression model is discussed. In the beginning of the article, a brief discussion about properties of kernel functions and steps to build kernels around data points are presented. Kernel Function In non-parametric statistics, a kernel is a weighting function which satisfies the following properties. A kernel function must be symmetrical. Mathematically this property can be expressed as K (-u) = K (+u). The symmetric property of kernel function enables its maximum value (max(K(u)) to lie in the middle of the curve. The area under the curve of the function must be equal to one. Mathematically, this property is expressed as: integral −∞ + ∞ ∫ K(u)d(u) = 1 Value of kernel function can not be negative i.e. K(u) ≥ 0 for all −∞ < u < ∞. Kernel Estimation In this article, Gaussian kernel function is used to calculate kernels for the data points. The equation for Gaussian kernel is: K(u) = (1 / sqrt(2pi)) * e^(-0.5 *(j / bw )^2) Where xi is the observed data point. j is the value where kernel function is computed and bw is called the bandwidth. Bandwidth in kernel regression is called the smoothing parameter because it controls variance and bias in the output.
Pine Script™ strategy
by loxx
7
Unicorn X-AlgoUnicorn X-Algo is a multifunctional trading indicator. It is designed to help traders make real-time decisions using quantitative models. Its core is a trend trading strategy based on our enhanced Trailing Stop-Loss algorithm. This strategy provides the user with position entry and exit signals. It is customizable and has a built-in instant backtesting feature. For those who have difficulty with finding the good settings the indicator has the Automatic Mode. In this mode, there is no need for the user to adjust any settings. The indicator calculates optimized trading signals automatically. In addition, the indicator provides a number of useful tools that aim to provide additional confirmation to the trading signals. They include: support and resistance levels forecast, price range prediction and institutional activity detection. The script can send real-time alerts to the user’s Email and to the cell phone via notifications in the TradingView app. The indicator can be used for various types of trend and swing trading, including positional trading, day trading and scalping. Unicorn X-Algo allows users to: forecast direction of trends with BUY and SELL signals; determine the right time to close a position; detect institutional activity in the market; forecast key support and resistance levels; predict the future price range for any market; customize any settings and do a backtest with one click; see historical trades on the chart; use the fully Automatic Mode where the algorithm optimizes all its settings itself. When using this script, keep in mind that past results do not necessarily reflect future results and that many factors influence trading results. FEATURES Trading signals The feature calculates trend or swing entry and exit signals. The underlying strategy does not use fixed Take-Profit levels. It trails the price with a Trailing Stop-Loss to get as many pips as possible from price movements. The feature is based on our custom Volatility Stop algorithm. It uses linear regressions instead of averaging. As our practice shows, this helps to reduce signal lag while keeping the number of false signals low. Trading signals are customizable with Sensitivity and Trade Length parameters which determine the trading signals frequency and width of the Trailing-Stop levels, respectively. Automatic Mode The Trading Signals function has an automatic mode. When it is turned on, you do not need to adjust the trading signals settings. The algorithm tries to calculate the best settings automatically using an optimization algorithm. In this mode, Buy and Sell signals are displayed as green and red triangles respectively. There are two types of exit signals displayed as circles and crosses. A circle signal means that a price reversal is expected and you can partially close the position. A cross signal means that a trading signal in the opposite direction is expected soon and you can partially or completely close your position. Support and Resistance Levels Support/Resistance levels forecasting model. The forecasted levels are non-repainting. Once calculated for a specified period in the future (day, week, month, etc.), they don't change during this period. The feature allows the trader to plan trades and use the forecasted levels as entry levels and targets for opening and closing positions. Both intraday and higher timeframes are supported. The forecasting model analyses the distribution of the price time series to find clusters in the data. These clusters are then used to make the key price levels forecast. Big Money Activity detection The Big Money Activity tool identifies areas on the price chart associated with instructional traders' activity in the market. Institutional activity in a trending market can be a leading signal for upcoming reversal. Institutions could be fixing their profit, causing the price to move against the current trend. Institutional activity in a sideways market can be due to positions accumulation and signal a new trend formation. The algorithm uses tick volume, volume, and volatility data to forecast activity of institutional investors. The method develops the idea described in the Daigler & Wiley (2015) and Shalen (1993) works. It says that when institutional traders actively open or close their positions in the market, a divergence between volume and volatility time-series arises. It can be due to their use of position-splitting algorithms that reduce the impact of their positions on the market. Trading Range Forecast Trading Range Forecast feature predicts the price range of an asset for a selected period of time in the future, called Forecast Horizon. It can be the next day or 12-hour trading session. This function works if your chart timeframe is intraday (i.e. the timeframe below "D"). It shows the upper and lower bounds between which the price is going to stay in the upcoming Forecast Horizon period. Instant Backtesting After changing any settings, you can immediately see the performance of the strategy on the Instant Backtesting panel. Two metrics are displayed there - the percentage of profitable trades and the total return. This information, as well as the historical trades shown on the chart, will help you quickly and easily evaluate any settings you make. SETTINGS TRADING SIGNALS Trade Length - defines the length of the trades the algorithm tries to make. Recommended values are from 1.0 to 6.0. Sensitivity - controls the sensitivity of the trading signals algorithm. The sensitivity determines the density of trading signals and how close the trailing-stop levels follow the price. The higher the value of this parameter is, the less sensitive the algorithm is. High values of the Sensitivity parameters (100-500) can help to withstand large price swings to stay in longer price moves. Lower values (10-100) work well for short- and medium-term trades. TRADING TOOLS Big Money Activity - turns on and off the identification of the areas associated with institutional traders activity. SUPPORТ AND RESISTANCЕ LEVELS Show Support And Resistance Levels - turns on and off support and resistance levels calculation. TRADING RANGE FORECAST Show Trading Range Forecast - turns on/off trading range forecasting Forecast Horizon - sets the period for which the trading range forecast is made Forecasting Method - allows to choose a forecasting algorithm for the trading range forecast. BACKTESTING Use Starting Date - turns on/off the starting date for the strategy and backtests. When off, all available historical data is used. Starting Date - sets the starting date for the strategy and backtests. Show Instant Backtesting Dashboard - turns on/off a dashboard that shows the current strategy performance: the percentage of profitable trades and total return. Leverage - sets the leverage that the strategy uses.
Pine Script™ indicator
by AstrideUnicorn
11
Unicorn QuantDeeply customizable trading algorithm with instant backtesting. It emulates real trading and displays all the actions it takes on the chart. For example, it shows when to enter or partially close a position, move Stop-Loss to breakeven, etc. The user can replicate these actions in their trading terminal in real time. The algorithm uses up to three Take-Profit levels, and a Stop-Loss level that can move in a trade to protect the floating profit. The script can send real-time alerts to the user’s Email and to the cell phone via notifications in the TradingView app. The indicator is designed to be used on all timeframes, including lower ones for intraday trading and scalping. HOW TO USE Set the Stop-Loss and up to three Take-Profit levels. Choose the rules for moving the Stop-Loss level in a trade. Adjust the sensitivity of the trading signals. And check the backtest result in the Instant Backtesting dashboard. If the performance of the strategy satisfies you, proceed with the forward testing or live trading. When using this script, please, keep in mind that past results do not necessarily reflect future results and there are many factors that influence trading results. FEATURES Trading Signals The feature calculates Buy and Sell signals for trend or swing trading. The user can change the Sensitivity parameter to control the frequency of the signals. This allows them to be adjusted for different markets and timeframes. Position Manager To make the Position Manager setup as easy as possible, the algorithm calculates Stop-Loss and Take-Profit levels in Average True Range (ATR) units. They are self-adjusting for any market and timeframe, since they account for its average volatility . You don't have to worry about what market you are trading - Forex, Stocks, Crypto, etc. With the self-adjusting Stop-Loss and Take-Profit, you can find settings that work for one market and use the same numerical values as a starting point for a completely different market. Instant Backtesting After changing any settings, you can immediately see the performance of the strategy on the Instant Backtesting panel. Two metrics are displayed there - the percentage of profitable trades and the total return. This information, as well as the historical trades shown on the chart, will help you quickly and easily evaluate the settings. SETTINGS TRADING SIGNALS Sensitivity - controls the sensitivity of the trading signals algorithm. It determines the frequency of the trading signals. The higher the value of this parameter, the less trading signals you get and the longer trends the algorithm tries to catch. The lower the sensitivity value, the more signals you receive. This can be useful if you want to profit from small price movements. POSITION MANAGER SL - sets the Stop-Loss level measured in ATR units. TP1, TP2, TP3 - set the Take-Profit levels measured in the ATR units. Close % at TP1, Close % at TP2, Close % at TP3 - set portions of the open position (as a percentage of the initial order size) to close at each of the TP levels. At TP1 move SL to, At TP2 move SL to - set the rules for moving the Stop-Loss level in an open trade to protect the floating profit. Show Open Position Dashboard - turns on/off a dashboard that shows the current Stop-Loss and Take-Profit levels for the open position. BACKTESTING Use Starting Date - turns on/off the starting date for the strategy and backtests. When off, all available historical data is used. Starting Date - sets the starting date for the strategy and backtests. Show Instant Backtesting Dashboard - turns on/off a dashboard that shows the current strategy performance: the percentage of profitable trades and total return. Leverage - sets the leverage that the strategy uses.
Pine Script™ indicator
by AstrideUnicorn
Breakout Probability (Expo)█ Overview Breakout Probability is a valuable indicator that calculates the probability of a new high or low and displays it as a level with its percentage. The probability of a new high and low is backtested, and the results are shown in a table— a simple way to understand the next candle's likelihood of a new high or low. In addition, the indicator displays an additional four levels above and under the candle with the probability of hitting these levels. The indicator helps traders to understand the likelihood of the next candle's direction, which can be used to set your trading bias. █ Calculations The algorithm calculates all the green and red candles separately depending on whether the previous candle was red or green and assigns scores if one or more lines were reached. The algorithm then calculates how many candles reached those levels in history and displays it as a percentage value on each line. █ Example In this example, the previous candlestick was green; we can see that a new high has been hit 72.82% of the time and the low only 28.29%. In this case, a new high was made. █ Settings Percentage Step The space between the levels can be adjusted with a percentage step. 1% means that each level is located 1% above/under the previous one. Disable 0.00% values If a level got a 0% likelihood of being hit, the level is not displayed as default. Enable the option if you want to see all levels regardless of their values. Number of Lines Set the number of levels you want to display. Show Statistic Panel Enable this option if you want to display the backtest statistics for that a new high or low is made. (Only if the first levels have been reached or not) █ Any Alert function call An alert is sent on candle open, and you can select what should be included in the alert. You can enable the following options: Ticker ID Bias Probability percentage The first level high and low price █ How to use This indicator is a perfect tool for anyone that wants to understand the probability of a breakout and the likelihood that set levels are hit. The indicator can be used for setting a stop loss based on where the price is most likely not to reach. The indicator can help traders to set their bias based on probability. For example, look at the daily or a higher timeframe to get your trading bias, then go to a lower timeframe and look for setups in that direction. ----------------- Disclaimer The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs. My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Pine Script™ indicator
by Zeiierman
279
Strategy BackTest Display Statistics - TraderHalaiThis script was born out of my quest to be able to display strategy back test statistics on charts to allow for easier backtesting on devices that do not natively support backtest engine (such as mobile phones, when I am backtesting from away from my computer). There are already a few good ones on TradingView, but most / many are too complicated for my needs. Found an excellent display backtest engine by 'The Art of Trading'. This script is a snippet of his hard work, with some very minor tweaks and changes. Much respect to the original author. Full credit to the original author of this script. It can be found here: www.tradingview.com I decided to modify the script by simplifying it down and make it easier to integrate into existing strategies, using simple copy and paste, by relying on existing tradingview strategy backtester inputs. I have also added 3 additional performance metrics: - Max Run Up - Average Win per trade - Average Loss per trade As this is a work in progress, I will look to add in more performance metrics in future, as I further develop this script. Feel free to use this display panel in your scripts and strategies. Thanks and enjoy :)
Pine Script™ strategy
by TraderHalai
4
Smoothed Heikin Ashi Trend on Chart - TraderHalai BACKTESTSmoothed Heikin Ashi Trend on chart - Backtest This is a backtest of the Smoothed Heikin Ashi Trend indicator, which computes the reverse candle close price required to flip a Heikin Ashi trend from red to green and vice versa. The original indicator can be found in the scripts section of my profile. This particular back test uses this indicator with a Trend following paradigm with a percentage-based stop loss. 

Note, that backtesting performance is not always indicative of future performance, but it does provide some basis for further development and walk-forward / live testing.

Testing was performed on Bitcoin , as this is a primary target market for me to use this kind of strategy. Sample Backtesting results as of 10th June 2022: Backtesting parameters:
 Position size: 10% of equity
 Long stop: 1% below entry
 Short stop: 1% above entry Repainting: Off
 Smoothing: SMA Period: 10
 8 Hour: Number of Trades: 1046

 Gross Return: 249.27 % CAGR Return: 14.04 % 
Max Drawdown: 7.9 % Win percentage: 28.01 % 
Profit Factor (Expectancy): 2.019 
 Average Loss: 0.33 % 
 Average Win: 1.69 %
 Average Time for Loss: 1 day
 Average Time for Win: 5.33 days 

 1 Day:

 Number of Trades: 429

 Gross Return: 458.4 % CAGR Return: 15.76 %
 Max Drawdown: 6.37 % 
Profit Factor (Expectancy): 2.804 
Average Loss: 0.8 % 
 Average Win: 7.2 % Average Time for Loss: 3 days
 Average Time for Win: 16 days


 5 Day: Number of Trades: 69

 Gross Return: 1614.9 % CAGR Return: 26.7 %
 Max Drawdown: 5.7 % 
Profit Factor (Expectancy): 10.451 
Average Loss: 3.64 % 
Average Win: 81.17 %
 Average Time for Loss: 15 days
 Average Time for Win: 85 days Analysis: The strategy is typical amongst trend following strategies with a less regular win rate, but where profits are more significant than losses. Most of the losses are in sideways, low volatility markets. This strategy performs better on higher timeframes, where it shows a positive expectancy of the strategy.

 The average win was positively impacted by Bitcoin’s earlier smaller market cap, as the percentage wins earlier were higher.

 Overall the strategy shows potential for further development and may be suitable for walk-forward testing and out of sample analysis to be considered for a demo trading account. Note in an actual trading setup, you may wish to use this with volatility filters, combined with support resistance zones for a better setup. As always, this post/indicator/strategy is not financial advice, and please do your due diligence before trading this live. Original indicator links: On chart version - Oscillator version - Update - 27/06/2022 Unfortunately, It appears that the original script had been taken down due to auto-moderation because of concerns with no slippage / commission. I have since adjusted the backtest, and re-uploaded to include the following to address these concerns, and show that I am genuinely trying to give back to the community and not mislead anyone: 1) Include commission of 0.1% - to match Binance's maker fees prior to moving to a fee-less model. 2) Include slippage of 10 ticks (This is a realistic slippage figure from searching online for most crypto exchanges) 3) Adjust account balance to 10,000 - since most of us are not millionaires. The rest of the backtesting parameters are comparable to previous results: Backtesting parameters:
 Initial capital: 10000 dollars Position size: 10% of equity
 Long stop: 2% below entry
 Short stop: 2% above entry Repainting: Off
 Smoothing: SMA Period: 10
 Slippage: 10 ticks Commission: 0.1% This script still remains to shows viability / profitablity on higher term timeframes (with slightly higher drawdown), and I have included the backtest report below to document my findings: 8 Hour: Number of Trades: 1082

 Gross Return: 233.02% CAGR Return: 14.04 % 
Max Drawdown: 7.9 % Win percentage: 25.6% 
Profit Factor (Expectancy): 1.627 Average Loss: 0.46 % 
 Average Win: 2.18 %
 Average Time for Loss: 1.33 day
 Average Time for Win: 7.33 days Once again, please do your own research and due dillegence before trading this live. This post is for education and information purposes only, and should not be taken as financial advice.
Pine Script™ strategy
by TraderHalai
4