Pivot Strategy [OmegaTools]Pivot Strategy by OmegaTools is a systematic trading strategy designed to evaluate price behavior around key pivot point levels. The script builds a complete pivot framework using the selected calculation method, with support for Traditional, Fibonacci, Woodie, Classic, and Camarilla pivots. From this structure, the strategy derives the central pivot level together with the first three resistance and support extensions, creating a clear and objective map of potential reaction zones for the session.
This script shouldn't be used as a stand alone strategy, a proper trigger and confluence filters are missing, instead try using this script to study market reaction to key levels in order to be able to create and test your own strategy.
The strategy is built around two distinct execution models. In TF mode, it operates as a breakout system, entering long positions when price closes upward through the selected bullish pivot level and entering short positions when price closes downward through the selected bearish pivot level. In MR mode, the logic shifts to a mean reversion framework, taking the opposite side of a level interaction: a touch of the selected support-side level from above can trigger a long entry, while a touch of the selected resistance-side level from below can trigger a short entry. This dual structure allows the script to be adapted to both continuation-driven and reversal-driven market conditions.
Entry selection is configurable through the central pivot or through one of the first three support/resistance tiers, allowing traders to test different degrees of aggressiveness and selectivity. A central-pivot configuration may produce more frequent signals, while higher-level entries such as SR2 or SR3 generally focus on more extended price movement before participation. This makes the strategy suitable not only for direct backtesting, but also for comparative research across instruments, volatility regimes, and pivot methodologies.
Risk management is handled through pivot-based exit logic. Stop loss and take profit levels are independently configurable and are mapped directly to the pivot structure. For long positions, stop losses are derived from the support side and take profits from the resistance side. For short positions, the inverse logic is applied. The script also validates these levels relative to the average entry price, so exits remain structurally coherent with the active position. This keeps the framework simple, transparent, and fully anchored to the same pivot environment used for entries.
To reinforce execution discipline, the strategy includes a maximum trades per day parameter, limiting the number of entries allowed during each reset cycle. At the beginning of a new reset period, the strategy clears its internal trade counter and closes any open position, ensuring that each new session starts independently from the previous one. This design makes the model particularly useful for traders who want strict session-based behavior and clean daily segmentation in their testing.
Overall, Pivot Strategy is intended for traders and quantitative researchers seeking a structured way to test pivot-driven breakout and mean reversion behavior with clearly defined rules. It is especially useful for studying how different pivot formulas, entry locations, and exit configurations influence performance across markets and timeframes, while maintaining a consistent and interpretable framework.
Disclaimer: This script is provided for educational and research purposes only. It does not constitute financial advice, investment advice, trading advice, or a recommendation to buy or sell any financial instrument. Past performance, backtest results, and hypothetical simulations are not indicative of future results. Market conditions, slippage, commissions, execution differences, and instrument-specific factors can materially affect real-world performance. Users should conduct their own analysis, apply proper risk management, and perform thorough out-of-sample validation before considering any live use. Strategy
PathOverDest (By Vahid.Jz) Second🎁 This script is released for free in celebration of the birth of my daughters:
Athena, born during the COVID era,
and Avina, born during times of war.
"PathOverDest" represents a simple philosophy:
There is no destination — only the journey.
Second
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📊 Overview:
PathOverDest is a fully customizable trading strategy designed for traders who focus on process, structure, and flexibility rather than fixed systems.
This strategy allows you to build your own logic step-by-step using multiple conditions for entries and exits, combined with advanced risk management tools.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
⚙️ Key Features:
• Multi-step Entry System (Long & Short)
Define up to 6 customizable conditions for entries using:
- Price sources (close, open, indicators, etc.)
- Logical operators (AND / OR)
- Crossovers, comparisons, and custom values
• Advanced Risk Management:
- Fixed Stop Loss
- Risk-Free (Break-even) system
- Trailing Stop Loss
• Multi Take-Profit System:
- Up to 3 Take-Profit levels
- Partial position closing
- Fully adjustable pip targets
• Position Management:
- Control position size using cash per trade
- Ability to open multiple positions per signal
• Smart Alerts:
- Custom alert messages with dynamic placeholders:
{{close}}, {{time}}
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🧠 Philosophy:
This strategy is not designed to predict the market —
it is designed to help you build and follow your own trading process.
Focus on consistency, not prediction.
Focus on execution, not outcome.
Because in trading, just like in life:
There is no destination… only the path.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
⚠️ Disclaimer:
This script is for educational and research purposes only.
Trading involves risk. Use proper risk management and test before live trading.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
👤 Author:
Vahid Jz Strategy
PathOverDest (By Vahid.Jz) First🎁 This script is released for free in celebration of the birth of my daughters:
Athena, born during the COVID era,
and Avina, born during times of war.
"PathOverDest" represents a simple philosophy:
There is no destination — only the journey.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📊 Overview:
PathOverDest is a fully customizable trading strategy designed for traders who focus on process, structure, and flexibility rather than fixed systems.
This strategy allows you to build your own logic step-by-step using multiple conditions for entries and exits, combined with advanced risk management tools.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
⚙️ Key Features:
• Multi-step Entry System (Long & Short)
Define up to 4 customizable conditions for entries using:
- Price sources (close, open, indicators, etc.)
- Logical operators (AND / OR)
- Crossovers, comparisons, and custom values
• Multi-step Exit Conditions
Flexible exit logic with up to 2 conditions for both long and short positions
• Advanced Risk Management:
- Fixed Stop Loss
- Risk-Free (Break-even) system
- Trailing Stop Loss
• Multi Take-Profit System:
- Up to 3 Take-Profit levels
- Partial position closing
- Fully adjustable pip targets
• Position Management:
- Control position size using cash per trade
- Ability to open multiple positions per signal
• Smart Alerts:
- Custom alert messages with dynamic placeholders:
{{close}}, {{time}}
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🧠 Philosophy:
This strategy is not designed to predict the market —
it is designed to help you build and follow your own trading process.
Focus on consistency, not prediction.
Focus on execution, not outcome.
Because in trading, just like in life:
There is no destination… only the path.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
⚠️ Disclaimer:
This script is for educational and research purposes only.
Trading involves risk. Use proper risk management and test before live trading.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
👤 Author:
Vahid Jz Strategy
ParabolicSAR+EMA[TS_Indie]🚀 EMA + Parabolic SAR Reversal Trading Strategy
This trading system effectively combines the use of Exponential Moving Averages (EMA) with the Parabolic SAR to identify both price trends and key reversal points. The EMA Fast is used to signal the primary short-term trend, while the EMA Slow acts as a filter for the long-term trend direction. The Parabolic SAR then helps to confirm the reversal signals.
🛠️ Tools Used
1. EMA Fast – Primary Short-Term Trend
2. EMA Slow – Long-Term Trend Filter
3. Parabolic SAR – Reversal Confirmation
🎯 Entry Rules
📈 Buy Setup
1. Trend Filter: EMA Fast > EMA Slow → Uptrend
2. Pullback: Price pulls back and closes below the EMA Fast line.
3. Reversal: Price reverses/pulls back up and closes above the EMA Fast line.
4. SAR Confirmation: The previous Parabolic SAR dot is above the high, and the dot in the current candle is below the low → Reversal signal confirmed.
5. Entry: Enter Buy immediately.
📉 Sell Setup
1. Trend Filter: EMA Fast < EMA Slow → Downtrend
2. Pullback: Price pulls back and closes above the EMA Fast line.
3. Reversal: Price reverses/pulls back down and closes below the EMA Fast line.
4. SAR Confirmation: The previous Parabolic SAR dot is below the low, and the dot in the current candle is above the high → Reversal signal confirmed.
5. Entry: Enter Sell immediately.
💰 Exit Management (Entry, Stop Loss, Take Profit)
1. Entry: Enter the order at the closing price of the signal candle.
2. Stop Loss (SL): Set the Stop Loss at the Parabolic SAR dot.
3. Take Profit (TP): Calculated from the Entry and Stop Loss points, multiplied by the Risk Reward Ratio.
⚙️ Optional Parameters
➭ Custom Risk/Reward Ratio for Take Profit.
➭ Option to add an ATR buffer to the Stop Loss.
➭ Adjustable EMA Fast period.
➭ Adjustable EMA Slow period.
➭ Adjustable Parabolic SAR parameters.
➭ Option to enable Long-only / Short-only positions.
➭ Customizable Backtest start and end date.
➭ Customizable trading session time.
🔔 Alert Function
Alerts display:
➭ Entry Price
➭ Stop Loss Price
➭ Take Profit Price
💡 This strategy allows for many parameter adjustments, such as the MA type, adding/subtracting from the Stop Loss using ATR, and selecting specific sessions for backtesting. If you find interesting or profitable results after adjusting the parameters, please share your comments with other traders!
⚠️ Disclaimer
This indicator is designed for educational and research purposes only. It does not guarantee profits and should not be considered financial advice. Trading in financial markets involves significant risk , including the potential loss of capital.
Strategy
W%R Pullback+EMA Trend [TS_Indie]🔰 Core Concept of the Strategy
The main idea is “Trend-Following with Momentum Pullback.”
This means trading in the direction of the main trend (defined by EMA) while using Williams %R to identify pullback entries (buying the dip or selling the rally) where momentum returns to the trend direction.
📊 Indicators Used
1. EMA Fast – Defines the short-term trend.
2. EMA Slow – Defines the long-term trend (used as a trend filter).
3. Williams %R
• Overbought zone: above -20
• Oversold zone: below -80
⚙️ Entry Rules
🔹 Buy Setup
1. EMA Fast > EMA Slow → Uptrend condition.
2. Williams %R on the previous candle dropped below -80, and on the current candle, it crosses back above -80 → indicates momentum returning to the upside.
3. Current close is above EMA Fast.
4. Entry Buy at the close of the candle where %R crosses above -80.
🎯 Entry, Stop Loss, and Take Profit
1. Entry : At the candle close where the signal occurs.
2. Stop Loss : At the lowest low between the current and previous candles.
3. Take Profit : Calculated based on entry price and stop loss distance multiplied by the Risk/Reward Ratio.
🔹 Sell Setup
1. EMA Fast < EMA Slow → Downtrend condition.
2. Williams %R on the previous candle went above -20, and on the current candle, it crosses back below -20 → indicates renewed selling momentum.
3. Current price is below EMA Fast.
4. Entry Sell at the close of the candle where %R crosses below -20.
🎯 Entry, Stop Loss, and Take Profit
1. Entry : At the candle close where the signal occurs.
2. Stop Loss : At the highest high between the current and previous candles.
3. Take Profit : Calculated based on entry price and stop loss distance multiplied by the Risk/Reward Ratio.
⚙️ Optional Parameters
• Custom Risk/Reward Ratio for Take Profit.
• Option to add ATR buffer to Stop Loss.
• Adjustable EMA Fast period.
• Adjustable EMA Slow period.
• Adjustable Williams %R period.
• Option to enable Long only / Short only positions.
• Customizable Backtest start and end date.
• Customizable trading session time.
⏰ Alert Function
Alerts display:
• Entry price
• Stop Loss price
• Take Profit price
Guys, try adjusting the parameters yourselves!
I’ve been tweaking the settings for several days and managed to get great results on XAU/USD in the 5-minute timeframe.
I think this strategy is quite interesting and could potentially deliver good results on other instruments as well.
⚠️ Disclaimer
This indicator is designed for educational and research purposes only.
It does not guarantee profits and should not be considered financial advice.
Trading in financial markets involves significant risk, including the potential loss of capital.
Strategy
Portfolio Strategy TesterThe Portfolio Strategy Tester is an institutional-grade backtesting framework that evaluates the performance of trend-following strategies on multi-asset portfolios. It enables users to construct custom portfolios of up to 30 assets and apply moving average crossover strategies across individual holdings. The model features a clear, color-coded table that provides a side-by-side comparison between the buy-and-hold portfolio and the portfolio using the risk management strategy, offering a comprehensive assessment of both approaches relative to the benchmark.
Portfolios are constructed by entering each ticker symbol in the menu, assigning its respective weight, and reviewing the total sum of individual weights displayed at the top left of the table. For strategy selection, users can choose between Exponential Moving Average (EMA), Simple Moving Average (SMA), Wilder’s Moving Average (RMA), Weighted Moving Average (WMA), Moving Average Convergence Divergence (MACD), and Volume-Weighted Moving Average (VWMA). Moving average lengths are defined in the menu and apply only to strategy-enabled assets.
To accurately replicate real-world portfolio conditions, users can choose between daily, weekly, monthly, or quarterly rebalancing frequencies and decide whether cash is held or redistributed. Daily rebalancing maintains constant portfolio weights, while longer intervals allow natural drift. When cash positions are not allowed, capital from bearish assets is automatically redistributed proportionally among bullish assets, ensuring the portfolio remains fully invested at all times. The table displays a comprehensive set of widely used institutional-grade performance metrics:
CAGR = Compounded annual growth rate of returns.
Volatility = Annualized standard deviation of returns.
Sharpe = CAGR per unit of annualized standard deviation.
Sortino = CAGR per unit of annualized downside deviation.
Calmar = CAGR relative to maximum drawdown.
Max DD = Largest peak-to-trough decline in value.
Beta (β) = Sensitivity of returns relative to benchmark returns.
Alpha (α) = Excess annualized risk-adjusted returns relative to benchmark.
Upside = Ratio of average return to benchmark return on up days.
Downside = Ratio of average return to benchmark return on down days.
Tracking = Annualized standard deviation of returns versus benchmark.
Turnover = Average sum of absolute changes in weights per year.
Cumulative returns are displayed on each label as the total percentage gain from the selected start date, with green indicating positive returns and red indicating negative returns. In the table, baseline metrics serve as the benchmark reference and are always gray. For portfolio metrics, green indicates outperformance relative to the baseline, while red indicates underperformance relative to the baseline. For strategy metrics, green indicates outperformance relative to both the baseline and the portfolio, red indicates underperformance relative to both, and gray indicates underperformance relative to either the baseline or portfolio. Metrics such as Volatility, Tracking Error, and Turnover ratio are always displayed in gray as they serve as descriptive measures.
In summary, the Portfolio Strategy Tester is a comprehensive backtesting tool designed to help investors evaluate different trend-following strategies on custom portfolios. It enables real-world simulation of both active and passive investment approaches and provides a full set of standard institutional-grade performance metrics to support data-driven comparisons. While results are based on historical performance, the model serves as a powerful portfolio management and research framework for developing, validating, and refining systematic investment strategies. Indicator
Chande Momentum Oscillator (CMO) Buy Sell Strategy [TradeDots]The "Chande Momentum Oscillator (CMO) Buy Sell Strategy" leverages the CMO indicator to identify short-term buy and sell opportunities.
HOW DOES IT WORK
The standard CMO indicator measures the difference between recent gains and losses, divided by the total price movement over the same period. However, this version of the CMO has some limitations.
The primary disadvantage of the original CMO is its responsiveness to short-term volatility, making the signals less smooth and more erratic, especially in fluctuating markets. This instability can lead to misleading buy or sell signals.
To address this, we integrated the concept from the Moving Average Convergence Divergence (MACD) indicator. By applying a 9-period exponential moving average (EMA) to the CMO line, we obtained a smoothed signal line. This line acts as a filter, identifying confirmed overbought or oversold states, thereby reducing the number of false signals.
Similar to the MACD histogram, we generate columns representing the difference between the CMO and its signal line, reflecting market momentum. We use this momentum indicator as a criterion for entry and exit points. Trades are executed when there's a convergence of CMO and signal lines during an oversold state, and they are closed when the CMO line diverges from the signal line, indicating increased selling pressure.
APPLICATION
Since the 9-period EMA smooths the CMO line, it's less susceptible to extreme price fluctuations. However, this smoothing also makes it more challenging to breach the original +50 and -50 benchmarks.
To increase trading opportunities, we've tightened the boundary ranges. Users can customize the target benchmark lines in the settings to adjust for the volatility of the underlying asset.
The 'cool down period' is essentially the number of bars that await before the next signal generation. This feature is employed to dodge the occurrence of multiple signals in a short period.
DEFAULT SETUP
Commission: 0.01%
Initial Capital: $10,000
Equity per Trade: 80%
Signal Cool Down Period: 5
RISK DISCLAIMER
Trading entails substantial risk, and most day traders incur losses. All content, tools, scripts, articles, and education provided by TradeDots serve purely informational and educational purposes. Past performances are not definitive predictors of future results. Strategy
Risk Reward Optimiser [ChartPrime]█ CONCEPTS
In modern day strategy optimization there are few options when it comes to optimizing a risk reward ratio. Users frequently need to experiment and go through countless permutations in order to tweak, adjust and find optimal in their data.
Therefore we have created the Risk Reward Optimizer.
The Risk Reward Optimizer is a technical tool designed to provide traders with comprehensive insights into their trading strategies.
It offers a range of features and functionalities aimed at enhancing traders' decision-making process.
With a focus on comprehensive data, it is there to help traders quickly and efficiently locate Risk Reward optimums for inbuilt of custom strategies.
█ Internal and external Signals:
The script can optimize risk to reward ratio for any type of signals
You can utilize the following :
🔸Internal signals ➞ We have included a number of common indicators into the optimizer such as:
▫️ Aroon
▫️ AO (Awesome Oscillator)
▫️ RSI (Relative Strength Index)
▫️ MACD (Moving Average Convergence Divergence)
▫️ SuperTrend
▫️ Stochastic RSI
▫️ Stochastic
▫️ Moving averages
All these indicators have 3 conditions to generate signals :
Crossover
High Than
Less Than
🔸External signal
▫️ by incorporating your own indicators into the analysis. This flexibility enables you to tailor your strategy to your preferences.
◽️ How to link your signal with the optimizer:
In order to be able to analysis your signal we need to read it and to do so we would need to PLOT your signal with a defined value
plot( YOUR LONG Condition ? 100 : 0 , display = display.data_window)
█ Customizable Risk to Reward Ratios:
This tool allows you to test seven different customizable risk to reward ratios , helping you determine the most suitable risk-reward balance for your trading strategy. This data-driven approach takes the guesswork out of setting stop-loss and take-profit levels.
█ Comprehensive Data Analysis:
The tool provides a table displaying key metrics, including:
Total trades
Wins
Losses
Profit factor
Win rate
Profit and loss (PNL)
This data is essential for refining your trading strategy.
🔸 It includes a tooltip for each risk to reward ratio which gives data for the:
Most Profitable Trade USD value
Most Profitable Trade % value
Most Profitable Trade Bar Index
Most Profitable Trade Time (When it occurred)
Position and size is adjustable
█ Visual insights with histograms:
Visualize your trading performance with histograms displaying each risk to reward ratio trade space, showing total trades, wins, losses, and the ratio of profitable trades.
This visual representation helps you understand the strengths and weaknesses of your strategy.
It offers tooltips for each RR ratio with the average win and loss percentages for further analysis.
█ Dynamic Highlighting:
A drop-down menu allows you to highlight the maximum values of critical metrics such as:
Profit factor
Win rate
PNL
for quick identification of successful setups.
█ Stop Loss Flexibility:
You can adjust stop-loss levels using three different calculation methods:
ATR
Pivot
VWAP
This allows you to align risk-reward ratios with your preferred risk tolerance.
█ Chart Integration:
Visualize your trades directly on your price chart, with each trade displayed in a distinct color for easy tracking.
When your take-profit (TP) level is reached , the tool labels the corresponding risk-reward ratio for that specific TP, simplifying trade management.
█ Detailed Tooltips:
Tooltips provide deeper insights into your trading performance. They include information about the most profitable trade, such as the time it occurred, the bar index, and the percentage gain. Histogram tooltips also offer average win and loss percentages for further analysis.
█ Settings:
█ Code:
In summary, the Risk Reward Optimizer is a data-driven tool that offers traders the ability to optimize their risk-reward ratios, refine their strategies, and gain a deeper understanding of their trading performance. Whether you're a day trader, swing trader, or investor, this tool can help you make informed decisions and improve your trading outcomes. Indicator
Strategy
Strategy
[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 pulsewire 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 pulsewire.
| 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.
Strategy
Indicator
Indicators & Conditions Test Framework [DTU]Hello All,
This script is a framework to build strategies by combining indicators and conditions (long, short, exits). You are able to analyze your strategies in realtime by changing the input parameters related to indicators, conditions and their combinations.
OVERVIEW
With this Study/Strategy framework, you will be able to create strategy conditions, display them on the chart, and test them using existing indicators as well as external and custom indicators that you can add.
The main purpose of the Framework is to choose your indicators to be used in the conditions and test your strategy by producing your "Long, short, Exit long, Exit short" combinations.
Although may be, it can be a bit difficult and complicated at first start, but you can understand the logic on its use in a very short time.
Notes:
I removed external links off descriptive images and video to be comply with Trading view violation House Rules
Since I am new in the community and still trying to understand the pine script language I can make errors and violations on my script. Please Inform me on any issue that I made..
HOW TO
STEP 1: SETTINGS ______________________________________________________________________________________________________
SOURCE, TIMEFRAME, SECURITY
Select the Source, timeframe and Secure type that your indicators will use.
Here, the Secure entry consists of 3 parts and the f_security function is used to determine it.
a)Secure
This option is defined as reducing repaint in pulsewire calculations as much as possible. The following function is used.
request.security(_symbol, _res, _src , lookahead=barmerge.lookahead_on)
b)Semi Secure
While this option can reduce repaint in pulsewire calculations as much as possible, it is less secure. The following function is used.
request.security(_symbol, _res, _src )
c)Repaint
This option turns on the repaint feature. The following function is used.
request.security(_symbol, _res, _src ) : na
Ind Source:
You can the source that indicators will use their own calculations
Ext Source:
You can import external Indicator sources from here . It appears on condition/combination area as "EXT".
To export the External indicator plot it with a title. It will be visible in source dropdown input
PERIOD , ALERTS...
Period:
Determine your strategy testing period by selecting start and end date/time
(!!! According to your pulsewire subscription, it takes the last 5000, 10000.. bars.
The extra bar option may cause problems such as not appearing in the calculations or errors).
Plot Alerts:
Plot condition result as alerts arrows on the chart's bottom for "LONG" and the top for "SHORT" entries, exits
Close on opposite:
When selected, a long entry gets closed when a short entry opens and vice versa
Show Profit:
It appears if script is in strategy mode (not in study) this can display current or open profit for better reanalyzing your strategy entry exit points. (Currently under development)
PLOT TYPE OPERATIONS
This option has 4 entries
a) Mult
Sets the multiplier for the selected Plot Type (stochastic, Percentrank, Org Range (-1,1) ) except for "Original" in the range (-1,1).
EXAMPLE: When 1000 is selected, the indicator in the range of (-1,1) will appear in the range of (-1000, 1000) on the screen.
b) Shift
It determines the shift that will appear on the screen for the selected Plot Type (stochastic, Percentrank,Org Range (-1,1) ) in the range (-1,1) other than "Original".
EXAMPLE: When Shift:35000 and mult:1000 are selected, the indicator will appear in the range (34000, 36000) on the screen.
c) Smooth
This option (only for Stochastic & PercentRank) allows to smooth the indicator to be displayed.
Here, tradinview ta.swma function is used.
b) hline
Adjusts the horizontal lines to appear on the screen according to the mult factor for the range (-1,1)
The lines represent the values (-1, -05, 0, 05, 1)
STEP 2: INDICATORS ______________________________________________________________________________________________________
You need to choose indicators that you can use in strategy conditions.
Here, the indicators come from the dturkuler/lib_Indicators_DT open script library defined in the code
In addition, you can add the indicators that you will create in the area defined in the code to this list..
You can also import external indicators and test them with other variables on the system..
You can choose a maximum of 5 indicators that you can use in total. (can be increased in new versions)
Indicators are categorized in 3 main sections
Indicator Selection:
You can select your indicators from this area
a)Moving Averages
These are indicators such as EMA, SMA that you can show on the stock. They come from the library.
These indicators are fed from Settings/source. Only the length value can be used as a parameter.
In addition, line colors can be changed..
As of now, there are 28 indicators in the library in total and 5 indicators are left as future use for this field for now.
b)Other Indicators
These are different indicators from the stock value such as RSI, COG. They come from the library. These indicators are fed from Settings/source.
Only the length value can be used as a parameter. In addition, line colors can be changed.
As of now, there are 24 indicators in the library in total and 5 indicators are left as a future use for this field for now.
c)Custom Indicators
These indicators are the ones you can create by programming yourself in the source code..
The area at the bottom of the settings screen is reserved for the parameters of this type of indicators.
Indicator Length:
You can update your selected indicator length value from here. (Not: it doesn't work for custom indicators since they have their parameter on cust. Ind. input screen )
Indicator Plot Type:
Next to the indicators, there is an input selection field about how they will be displayed on the screen.
a)Original
The indicator is displayed on the screen with its current values. It is an ideal solution for displaying moving average indicators such as (EMA, SMA) over current stock.
Since the values of indicators such as (RSI, COB) are low (-100,100 : -1.1), they appear at the bottom of the screen and make analysis difficult.
For this reason, other options may be more suitable for these.
b)Stochastic
The indicator is displayed on the screen with stochastic calculation in the range of -1.1.
It uses the stochastic(50) calculation method to spread indicators such as (RSI, COB) over the range (-1,1).
Indicators in this selection can be fixed and monitored under stock on the screen with the parameters under the Plot Type section.
You can see the original values of the relevant indicator on the Data Window screen.
(!!! Do not use the values on the chart in your condition calculations. Instead, get the values from Data Window)
c)PercentRank
The indicator is displayed on the screen with stochastic calculation in the range of -1.1. .
Since the values of indicators such as (RSI, COB) are low (-100,100 : -1.1), they appear at the bottom of the screen and make analysis difficult.
Indicators in this selection can be fixed and monitored under stock on the screen with the parameters under the Plot Type section.
You can see the original values of the relevant indicator on the Data Window screen
((!!! Do not use the values on the chart in your condition calculations. Instead, get the values from Data Window)
d)Org Range (-1,1)
If your indicator is in the range of -1.1, your indicator will be displayed on the screen with its original calculation in the range of -1.1.
Indicators in this selection can be fixed and monitored under stock on the screen with the parameters under the Plot Type section.
You can see the original values of the relevant indicator on the Data Window screen.
(!!! Do not use the values on the chart in your fitness calculations. Instead, get the values from Data Window)
STEP 2 NOTES:
STEP 3: CONDITIONS ______________________________________________________________________________________________________
After choosing the indicators you will use in the conditions, you move on to the "CONDITIONS" section.
There are 4 conditions type here.
• LONG ENTRY CONDITION
• SHORT ENTRY CONDITION
• LONG CLOSE CONDITION
• SHORT CLOSE CONDITION
The use of each condition is the same.
There are 3 combinations you can use in each condition. (can be increased in new versions)
a)COMBINATIONS
There are 3 combinations you can use in each condition. (can be increased in new versions)
Each combination are build from 4 parts
1)1st Indicator
If set to "NONE" this combination will not be used on calculations. You can select
IND1-5: from indicators (See above),
EXT: value from externally imported indicator
Stock built-in values: close, open...
2)Operator
Selected Operator compares 1st Indicator with the 2nd one. You can select different operators such as
crossover, crossunder, cross,>,<,=....
3)2nd Indicator
This indicator will be compared with the 1st one via selected Operator. You can select
IND1-5: from indicators (See above),
VALUE: a float value defined in the combinations value parameter
EXT: value from externally imported indicator
Stock builtin values: close,open...
4)Value
When the 2nd indicator field is "VALUE", value area compares the entered value.
ex: 1st indicator="open", op=">", 2nd indicator="VALUE", value=3000.12 means is(close>3000.12)
In other conditions, it compares the previous values of the indicator.
ex: 1st indicator="open", op=">" 2nd indicator is "close" and value is 2 means is(open>close )
EXAMPLES:
indicator 1= "IND1", Operator=">", indicator 2= "IND2" => is(IND1>IND2)
indicator 1= "IND1", Operator=">", indicator 2= "VALUE", "0.1" => is(IND1>0.9)
indicator 1= "IND2", Operator="crossover", indicator 2= "IND1" => is(IND2 crossover IND1) : like a=ta.crossover(IND2, IND1)
indicator 1= "IND1", Operator="<", indicator 2= "close" => is(IND1>close)
indicator 1= "IND1", Operator="<", indicator 2= "EXT" => is(IND1>EXT) , EXT mean external imported indicator that define on settings section
indicator 1= "IND1", Operator="<", indicator 2= "IND1", Value="1" => is (IND1>IND1 )
b)JOIN COMBINATIONS
Each combination in Condition is compared with the next one via JOIN operator
The join operator can be selected as AND or OR.
Examples:
1st combination= is(IND1>0.9) true
2nd combination= is(IND2 crossover IND1) false
1st combination "AND" 2ndcombination" => false (is(IND1>0.9) AND is(IND2 crossover IND1))
1st combination "OR" 2nd combination" => true (is(IND1>0.9) OR is(IND2 crossover IND1))
STEP 3 NOTES:
When the 2nd indicator field is "VALUE", value area compares the entered value. In other conditions, it compares the previous values of the indicator.
In cases where "VALUE" is not selected, integer values must be entered in this field. (float should not be entered. ie 1, 2 should be entered)
!!!If the 1st indicator is "NONE" in the combination, that combination is cancelled.
Each combination returns true/false, allowing the selected value to be compared with another value
Example: EMA(21)>EMA(50) returns true under all conditions or (EMA(21) crossover EMA(50)) returns true when passed.
You can use , Value of 5 indicators (IND1-IND5) or (VALUE) that you have defined in combinations or import indicator (EXT) or stock values (close, open, high...) in your calculations.
combination Compares the 1st indicator with 2nd indicator via the operator.
STEP 4: CUSTOM INDICATORS ______________________________________________________________________________________________________
There is an area in the code for designing Custom Indicators.
Here you can design your own indicators and use them in the framework.
You can also create unlimited parameters for your indicators in the SETTINGS custom indicator field.
For now, only 3 Custom indicators have been defined.
Examples are entered in the code for custom indicators.
STEP 4 NOTES:
Including / updating custom to the code is explained in the source code
• LIMITATIONS:
!!! According to your pulsewire subscription, it takes the last 5000, 10000.. bars. More bar options may cause problems such as not appearing in the calculations or errors.
• RAMBLINGS:
• NOTES [ /i]
This Script can be used as an indicator if the last strategy parts in the code are commented out and converted to the initial strategy study.
It was originally prepared for my use with my own strategy framework and has export functions accordingly.
When integrated to my own strategy framework it brings many more features over strategy definition of trades.
• TODO [ /i]
TODO: Add tooltips to the settings screen
TODO: Add double triple, Quatr factor for all indicators (convert any indicator to factor2-4 facotr. ex: EMA to DEMA, TEMA, QEMA...)
TODO: Add factorized Fibo avg range indicator (good for trend definition and entry exit points)
TODO: Add bands to the indicator and conditions
TODO: Add debug window for exporting indicator's parameters
TODO: Add isRising(value) isFalling(value), is...(value) .... to combinations (they can be used as custom indicator also
TODO: Reassess condition entry screen for user friendly GUI
TODO: Increase # conditions from 3 to 4
TODO: Reassess strategy entries, exit and close (should be improved)
TODO: Add Alerts, Condiional alerts for indicator (study) part
TODO: Create export function v3 for Pinecoders Indicator framework
• THANKS:
For Pine script format docs RicardoSantos .
For Pine script coding standards Pinecoders .
For moving average script used on library s RodrigoKazuma .
Strategy
Strategy
