Irchesh Enhanced Momentum StrategyTrend Filter (EMA):
Dual EMA (50/200 periods) to identify the main trend
Long condition only when EMA 50 > EMA 200
Short condition only when EMA 50 < EMA 200
Momentum RSI with Divergences:
14-period RSI with customizable levels
Automatic detection of bullish/bearish divergences
Volume filter (1.5x the 20-period moving average)
Advanced Risk Management:
Fixed stop loss (1%) and take profit (2%)
Dynamic trailing stop (1.5%)
Option to disable the trailing stop
Additional Filters:
Price above/below fast EMA for confirmation
Volume above average to confirm strength
Recommended Optimization:
Test different EMA values (e.g., 21/50 instead of 50/200)
Adjust RSI parameters based on the timeframe
Experiment with different volume multipliers
Optimize stop loss/take profit levels
Important Notes:
The strategy works best in strongly trending markets
RSI divergences require volume confirmation
Use H1 or higher timeframes to reduce noise
Combine with fundamental analysis for better performance
Indicadores y estrategias
Non-Repainting Renko Emulation Strategy [PineIndicators]Introduction: The Repainting Problem in Renko Strategies
Renko charts are widely used in technical analysis for their ability to filter out market noise and emphasize price trends. Unlike traditional candlestick charts, which are based on fixed time intervals, Renko charts construct bricks only when price moves by a predefined amount. This makes them useful for trend identification while reducing small fluctuations.
However, Renko-based trading strategies often fail in live trading due to a fundamental issue: repainting .
Why Do Renko Strategies Repaint?
Most trading platforms, including TradingView, generate Renko charts retrospectively based on historical price data. This leads to the following issues:
Renko bricks can change or disappear when new data arrives.
Backtesting results do not reflect real market conditions. Strategies may appear highly profitable in backtests because historical data is recalculated with hindsight.
Live trading produces different results than backtesting. Traders cannot know in advance whether a new Renko brick will form until price moves far enough.
Objective of the Renko Emulator
This script simulates Renko behavior on a standard time-based chart without repainting. Instead of using TradingView’s built-in Renko charting, which recalculates past bricks, this approach ensures that once a Renko brick is formed, it remains unchanged .
Key benefits:
No past bricks are recalculated or removed.
Trading strategies can execute reliably without false signals.
Renko-based logic can be applied on a time-based chart.
How the Renko Emulator Works
1. Parameter Configuration & Initialization
The script defines key user inputs and variables:
brickSize : Defines the Renko brick size in price points, adjustable by the user.
renkoPrice : Stores the closing price of the last completed Renko brick.
prevRenkoPrice : Stores the price level of the previous Renko brick.
brickDir : Tracks the direction of Renko bricks (1 = up, -1 = down).
newBrick : A boolean flag that indicates whether a new Renko brick has been formed.
brickStart : Stores the bar index at which the current Renko brick started.
2. Identifying Renko Brick Formation Without Repainting
To ensure that the strategy does not repaint, Renko calculations are performed only on confirmed bars.
The script calculates the difference between the current price and the last Renko brick level.
If the absolute price difference meets or exceeds the brick size, a new Renko brick is formed.
The new Renko price level is updated based on the number of bricks that would fit within the price movement.
The direction (brickDir) is updated , and a flag ( newBrick ) is set to indicate that a new brick has been formed.
3. Visualizing Renko Bricks on a Time-Based Chart
Since TradingView does not support live Renko charts without repainting, the script uses graphical elements to draw Renko-style bricks on a standard chart.
Each time a new Renko brick forms, a colored rectangle (box) is drawn:
Green boxes → Represent bullish Renko bricks.
Red boxes → Represent bearish Renko bricks.
This allows traders to see Renko-like formations on a time-based chart, while ensuring that past bricks do not change.
Trading Strategy Implementation
Since the Renko emulator provides a stable price structure, it is possible to apply a consistent trading strategy that would otherwise fail on a traditional Renko chart.
1. Entry Conditions
A long trade is entered when:
The previous Renko brick was bearish .
The new Renko brick confirms an upward trend .
There is no existing long position .
A short trade is entered when:
The previous Renko brick was bullish .
The new Renko brick confirms a downward trend .
There is no existing short position .
2. Exit Conditions
Trades are closed when a trend reversal is detected:
Long trades are closed when a new bearish brick forms.
Short trades are closed when a new bullish brick forms.
Key Characteristics of This Approach
1. No Historical Recalculation
Once a Renko brick forms, it remains fixed and does not change.
Past price action does not shift based on future data.
2. Trading Strategies Operate Consistently
Since the Renko structure is stable, strategies can execute without unexpected changes in signals.
Live trading results align more closely with backtesting performance.
3. Allows Renko Analysis Without Switching Chart Types
Traders can apply Renko logic without leaving a standard time-based chart.
This enables integration with indicators that normally cannot be used on traditional Renko charts.
Considerations When Using This Strategy
Trade execution may be delayed compared to standard Renko charts. Since new bricks are only confirmed on closed bars, entries may occur slightly later.
Brick size selection is important. A smaller brickSize results in more frequent trades, while a larger brickSize reduces signals.
Conclusion
This Renko Emulation Strategy provides a method for using Renko-based trading strategies on a time-based chart without repainting. By ensuring that bricks do not change once formed, it allows traders to use stable Renko logic while avoiding the issues associated with traditional Renko charts.
This approach enables accurate backtesting and reliable live execution, making it suitable for trend-following and swing trading strategies that rely on Renko price action.
My Strategy//@version=5
strategy("My Strategy", overlay = true)
// Create Indicator's
ema1 = ta.ema(close, 8)
ema2 = ta.ema(close, 18)
ema3 = ta.ema(close, 44)
//plot the Indicators
plot(ema1, title = "EMA1", color = color.blue, linewidth = 2)
plot(ema2, title = "EMA2", color = color.red, linewidth = 2)
plot(ema3, title = "EMA3", color = color.black, linewidth = 2)
// Specify crossover conditions
Enterlong = ta.crossover(ema2, ema3)
Exitlong = ta.crossunder(ema1,ema2)
Entershort = ta.crossunder(ema2, ema3)
Exitshort = ta.crossover(ema1,ema2)
//Execution Logic - Placing Orders
strategy.entry("Long", strategy.long, 1, when = Enterlong)
strategy.close("Long", when = Exitlong)
strategy.entry("Short", strategy.short, 1, when = Entershort)
strategy.close("Short", when = Exitshort)
[3Commas] Turtle StrategyTurtle Strategy
🔷 What it does: This indicator implements a modernized version of the Turtle Trading Strategy, designed for trend-following and automated trading with webhook integration. It identifies breakout opportunities using Donchian channels, providing entry and exit signals.
Channel 1: Detects short-term breakouts using the highest highs and lowest lows over a set period (default 20).
Channel 2: Acts as a confirmation filter by applying an offset to the same period, reducing false signals.
Exit Channel: Functions as a dynamic stop-loss (wait for candle close), adjusting based on market structure (default 10 periods).
Additionally, traders can enable a fixed Take Profit level, ensuring a systematic approach to profit-taking.
🔷 Who is it for:
Trend Traders: Those looking to capture long-term market moves.
Bot Users: Traders seeking to automate entries and exits with bot integration.
Rule-Based Traders: Operators who prefer a structured, systematic trading approach.
🔷 How does it work: The strategy generates buy and sell signals using a dual-channel confirmation system.
Long Entry: A buy signal is generated when the close price crosses above the previous high of Channel 1 and is confirmed by Channel 2.
Short Entry: A sell signal occurs when the close price falls below the previous low of Channel 1, with confirmation from Channel 2.
Exit Management: The Exit Channel acts as a trailing stop, dynamically adjusting to price movements. To exit the trade, wait for a full bar close.
Optional Take Profit (%): Closes trades at a predefined %.
🔷 Why it’s unique:
Modern Adaptation: Updates the classic Turtle Trading Strategy, with the possibility of using a second channel with an offset to filter the signals.
Dynamic Risk Management: Utilizes a trailing Exit Channel to help protect gains as trades move favorably.
Bot Integration: Automates trade execution through direct JSON signal communication with your DCA Bots.
🔷 Considerations Before Using the Indicator:
Market & Timeframe: Best suited for trending markets; higher timeframes (e.g., H4, D1) are recommended to minimize noise.
Sideways Markets: In choppy conditions, breakouts may lead to false signals—consider using additional filters.
Backtesting & Demo Testing: It is crucial to thoroughly backtest the strategy and run it on a demo account before risking real capital.
Parameter Adjustments: Ensure that commissions, slippage, and position sizes are set accurately to reflect real trading conditions.
🔷 STRATEGY PROPERTIES
Symbol: BINANCE:ETHUSDT (Spot).
Timeframe: 4h.
Test Period: All historical data available.
Initial Capital: 10000 USDT.
Order Size per Trade: 1% of Capital, you can use a higher value e.g. 5%, be cautious that the Max Drawdown does not exceed 10%, as it would indicate a very risky trading approach.
Commission: Binance commission 0.1%, adjust according to the exchange being used, lower numbers will generate unrealistic results. By using low values e.g. 5%, it allows us to adapt over time and check the functioning of the strategy.
Slippage: 5 ticks, for pairs with low liquidity or very large orders, this number should be increased as the order may not be filled at the desired level.
Margin for Long and Short Positions: 100%.
Indicator Settings: Default Configuration.
Period Channel 1: 20.
Period Channel 2: 20.
Period Channel 2 Offset: 20.
Period Exit: 10.
Take Profit %: Disable.
Strategy: Long & Short.
🔷 STRATEGY RESULTS
⚠️Remember, past results do not guarantee future performance.
Net Profit: +516.87 USDT (+5.17%).
Max Drawdown: -100.28 USDT (-0.95%).
Total Closed Trades: 281.
Percent Profitable: 40.21%.
Profit Factor: 1.704.
Average Trade: +1.84 USDT (+1.80%).
Average # Bars in Trades: 29.
🔷 How to Use It:
🔸 Adjust Settings:
Select your asset and timeframe suited for trend trading.
Adjust the periods for Channel 1, Channel 2, and the Exit Channel to align with the asset’s historical behavior. You can visualize these channels by going to the Style tab and enabling them.
For example, if you set Channel 2 to 40 with an offset of 40, signals will take longer to appear but will aim for a more defined trend.
Experiment with different values, a possible exit configuration is using 20 as well. Compare the results and adjust accordingly.
Enable the Take Profit (%) option if needed.
🔸Results Review:
It is important to check the Max Drawdown. This value should ideally not exceed 10% of your capital. Consider adjusting the trade size to ensure this threshold is not surpassed.
Remember to include the correct values for commission and slippage according to the symbol and exchange where you are conducting the tests. Otherwise, the results will not be realistic.
If you are satisfied with the results, you may consider automating your trades. However, it is strongly recommended to use a small amount of capital or a demo account to test proper execution before committing real funds.
🔸Create alerts to trigger the DCA Bot:
Verify Messages: Ensure the message matches the one specified by the DCA Bot.
Multi-Pair Configuration: For multi-pair setups, enable the option to add the symbol in the correct format.
Signal Settings: Enable the option to receive long or short signals (Entry | TP | SL), copy and paste the messages for the DCA Bots configured.
Alert Setup:
When creating an alert, set the condition to the indicator and choose "alert() function call only".
Enter any desired Alert Name.
Open the Notifications tab, enable Webhook URL, and paste the Webhook URL.
For more details, refer to the section: "How to use TradingView Custom Signals".
Finalize Alerts: Click Create, you're done! Alerts will now be sent automatically in the correct format.
🔷 INDICATOR SETTINGS
Period Channel 1: Period of highs and lows to trigger signals
Period Channel 2: Period of highs and lows to filter signals
Offset: Move Channel 2 to the right x bars to try to filter out the favorable signals.
Period Exit: It is the period of the Donchian channel that is used as trailing for the exits.
Strategy: Order Type direction in which trades are executed.
Take Profit %: When activated, the entered value will be used as the Take Profit in percentage from the entry price level.
Use Custom Test Period: When enabled signals only works in the selected time window. If disabled it will use all historical data available on the chart.
Test Start and End: Once the Custom Test Period is enabled, here you select the start and end date that you want to analyze.
Check Messages: Check Messages: Enable this option to review the messages that will be sent to the bot.
Entry | TP | SL: Enable this options to send Buy Entry, Take Profit (TP), and Stop Loss (SL) signals.
Deal Entry and Deal Exit: Copy and paste the message for the deal start signal and close order at Market Price of the DCA Bot. This is the message that will be sent with the alert to the Bot, you must verify that it is the same as the bot so that it can process properly.
DCA Bot Multi-Pair: You must activate it if you want to use the signals in a DCA Bot Multi-pair in the text box you must enter (using the correct format) the symbol in which you are creating the alert, you can check the format of each symbol when you create the bot.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas TradingView account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc.
EMA and RSI StrategyUtilizing Openai I’ve created the TradingView Pine Script for the trading bot using the 50 EMA, 20 EMA, and RSI indicators. You can view and edit the code in the canvas. Let me know if you need any modifications!
SPX Breakout Strategy [MAP]Here’s a breakdown of the color scheme used in the script:
1. Donchian Levels (Upper and Lower Levels)
Color: color.yellow
Purpose:
The upper and lower levels of the Donchian Channel are plotted as yellow solid lines.
These levels represent the highest high and lowest low over the lookback period.
Example:
Upper Level: 4500 (yellow)
Lower Level: 4400 (yellow)
2. Take-Profit Levels
Buy Take-Profit:
Color: color.green
Purpose:
The take-profit level for a buy position is plotted as a green dashed line.
This level is calculated as upper_level + (2 * risk).
Example: 4600 (green)
Sell Take-Profit:
Color: color.red
Purpose:
The take-profit level for a sell position is plotted as a red dashed line.
This level is calculated as lower_level - (2 * risk).
Example: 4300 (red)
3. Target Levels
Upper Targets:
Color: color.teal
Purpose:
The upper target levels are plotted as teal dashed lines.
These levels are calculated as upper_level + (i * target_distance), where i is the target number (1 to 5).
Example:
Target 1: 4700 (teal)
Target 2: 4800 (teal)
Lower Targets:
Color: color.orange
Purpose:
The lower target levels are plotted as orange dashed lines.
These levels are calculated as lower_level - (i * target_distance), where i is the target number (1 to 5).
Example:
Target 1: 4300 (orange)
Target 2: 4200 (orange)
4. Stop-Loss Levels
Buy Stop-Loss:
Color: color.red
Purpose:
The stop-loss level for a buy position is plotted as a red dashed line.
This level is calculated as upper_level - (atr * stop_loss_distance).
Example: 4450 (red)
Sell Stop-Loss:
Color: color.red
Purpose:
The stop-loss level for a sell position is plotted as a red dashed line.
This level is calculated as lower_level + (atr * stop_loss_distance).
Example: 4350 (red)
5. Entry Labels
Buy Entry:
Color: color.green
Purpose:
A green label is displayed on the chart when a buy condition is met.
The label says "BUY" and is placed at the high of the bar where the breakout occurs.
Example: A green "BUY" label appears on the chart.
Sell Entry:
Color: color.red
Purpose:
A red label is displayed on the chart when a sell condition is met.
The label says "SELL" and is placed at the low of the bar where the breakout occurs.
Example: A red "SELL" label appears on the chart.
6. Text Labels on the Right Side
Color:
The text labels on the right side of the chart use the same colors as the corresponding levels (e.g., yellow for Donchian levels, green for buy take-profit, red for sell take-profit, etc.).
Purpose:
These labels display the price values of the levels (e.g., 4500, 4600, etc.) on the right side of the chart.
They are placed at the corresponding price levels for easy reference.
Strategy SuperTrend SDI WebhookThis Pine Script™ strategy is designed for automated trading in TradingView. It combines the SuperTrend indicator and Smoothed Directional Indicator (SDI) to generate buy and sell signals, with additional risk management features like stop loss, take profit, and trailing stop. The script also includes settings for leverage trading, equity-based position sizing, and webhook integration.
Key Features
1. Date-based Trade Execution
The strategy is active only between the start and end dates set by the user.
times ensures that trades occur only within this predefined time range.
2. Position Sizing and Leverage
Uses leverage trading to adjust position size dynamically based on initial equity.
The user can set leverage (leverage) and percentage of equity (usdprcnt).
The position size is calculated dynamically (initial_capital) based on account performance.
3. Take Profit, Stop Loss, and Trailing Stop
Take Profit (tp): Defines the target profit percentage.
Stop Loss (sl): Defines the maximum allowable loss per trade.
Trailing Stop (tr): Adjusts dynamically based on trade performance to lock in profits.
4. SuperTrend Indicator
SuperTrend (ta.supertrend) is used to determine the market trend.
If the price is above the SuperTrend line, it indicates an uptrend (bullish).
If the price is below the SuperTrend line, it signals a downtrend (bearish).
Plots visual indicators (green/red lines and circles) to show trend changes.
5. Smoothed Directional Indicator (SDI)
SDI helps to identify trend strength and momentum.
It calculates +DI (bullish strength) and -DI (bearish strength).
If +DI is higher than -DI, the market is considered bullish.
If -DI is higher than +DI, the market is considered bearish.
The background color changes based on the SDI signal.
6. Buy & Sell Conditions
Long Entry (Buy) Conditions:
SDI confirms an uptrend (+DI > -DI).
SuperTrend confirms an uptrend (price crosses above the SuperTrend line).
Short Entry (Sell) Conditions:
SDI confirms a downtrend (+DI < -DI).
SuperTrend confirms a downtrend (price crosses below the SuperTrend line).
Optionally, trades can be filtered using crossovers (occrs option).
7. Trade Execution and Exits
Market entries:
Long (strategy.entry("Long")) when conditions match.
Short (strategy.entry("Short")) when bearish conditions are met.
Trade exits:
Uses predefined take profit, stop loss, and trailing stop levels.
Positions are closed if the strategy is out of the valid time range.
Usage
Automated Trading Strategy:
Can be integrated with webhooks for automated execution on supported trading platforms.
Trend-Following Strategy:
Uses SuperTrend & SDI to identify trend direction and strength.
Risk-Managed Leverage Trading:
Supports position sizing, stop losses, and trailing stops.
Backtesting & Optimization:
Can be used for historical performance analysis before deploying live.
Conclusion
This strategy is suitable for traders who want to automate their trading using SuperTrend and SDI indicators. It incorporates risk management tools like stop loss, take profit, and trailing stop, making it adaptable for leverage trading. Traders can customize settings, conduct backtests, and integrate it with webhooks for real-time trade execution. 🚀
Important Note:
This script is provided for educational and template purposes and does not constitute financial advice. Traders and investors should conduct their research and analysis before making any trading decisions.
EMA Crossover Strategy with S/R and Cross Exits v6Was macht diese Strategie?
Diese Strategie kombiniert bewährte technische Indikatoren mit einem robusten Risikomanagement, um klare Kauf- und Verkaufssignale in trendstarken Märkten zu generieren. Sie basiert auf dem Crossover von exponentiellen gleitenden Durchschnitten (EMA) in Kombination mit einem Trendfilter aus dem höheren Zeitrahmen und einem dynamischen Risikomanagement basierend auf der durchschnittlichen True Range (ATR).
Wie funktioniert die Strategie?
Kernsignale:
Kauf: Wenn der EMA5 (kurzfristig) von unten die EMA8 und EMA13 kreuzt.
Verkauf: Wenn der EMA5 von oben die EMA8 und EMA13 kreuzt.
Trendfilter:
Es wird nur gehandelt, wenn der Preis über dem 200-EMA aus dem 1-Stunden-Chart liegt (für Longs) oder darunter (für Shorts). Dies stellt sicher, dass Sie nur in Richtung des übergeordneten Trends handeln.
Risikomanagement:
Dynamischer Stop-Loss: Basierend auf der ATR (durchschnittliche True Range), um die Volatilität des Marktes zu berücksichtigen.
Take-Profit: Ein festgelegtes Risiko-Ertrags-Verhältnis von 1:2, um Gewinne zu sichern und Verluste zu begrenzen.
Positionsgröße: Die Positionsgröße wird basierend auf dem Kontostand und dem Risiko pro Trade angepasst, um das Risiko zu kontrollieren.
Zusätzliche Filter:
RSI-Filter: Es wird nur gekauft, wenn der RSI überverkauft ist (<30), und nur verkauft, wenn der RSI überkauft ist (>70).
Volumenfilter: Es wird nur gehandelt, wenn das aktuelle Volumen über dem Durchschnitt liegt, um sicherzustellen, dass genügend Liquidität vorhanden ist.
Warum diese Strategie?
Einfachheit: Klare Regeln und leicht verständliche Signale.
Anpassungsfähigkeit: Die Strategie passt sich der Marktvolatilität an (dank ATR-basiertem Stop-Loss).
Trendfolge: Durch den Trendfilter aus dem höheren Zeitrahmen werden nur Trades in Richtung des übergeordneten Trends ausgeführt.
Risikokontrolle: Dynamisches Risikomanagement sorgt dafür, dass Verluste begrenzt und Gewinne maximiert werden.
Erfolgschancen
Profitfaktor: Die Strategie zielt auf einen Profitfaktor von mindestens 1,5 ab, was bedeutet, dass die Gewinne die Verluste deutlich übersteigen.
Gewinnwahrscheinlichkeit: Durch die Kombination von Trendfiltern und RSI-Signalen wird die Wahrscheinlichkeit erfolgreicher Trades erhöht.
Backtest-Ergebnisse: In historischen Tests zeigt die Strategie konsistente Ergebnisse in trendstarken Märkten.
Risiken
Seitwärtsmärkte: In trendlosen oder choppigen Märkten kann die Strategie zu häufigen Fehlsignalen führen.
Volatilitätsspitzen: Extreme Marktbewegungen können zu unerwarteten Stop-Loss-Auslösungen führen.
Overfitting: Die Strategie wurde zwar optimiert, aber historische Performance ist keine Garantie für zukünftige Ergebnisse.
Emotionen: Disziplin ist erforderlich, um die Regeln strikt zu befolgen.
Für wen ist diese Strategie geeignet?
Einsteiger: Dank klarer Regeln und einfacher Signale ist die Strategie auch für weniger erfahrene Trader geeignet.
Erfahrene Trader: Die Anpassungsfähigkeit und das Risikomanagement bieten auch fortgeschrittenen Tradern eine solide Grundlage.
Langfristige Anleger: Die Strategie eignet sich für Trader, die auf mittel- bis langfristige Trends setzen möchten.
Warum jetzt buchen?
Sofortige Umsetzbarkeit: Die Strategie ist sofort einsatzbereit und kann in jedem Marktumfeld angewendet werden.
Persönliche Anpassung: Wir passen die Strategie an Ihre individuellen Risikopräferenzen und Handelsziele an.
Unterstützung: Sie erhalten eine detaillierte Anleitung und kontinuierlichen Support, um die Strategie erfolgreich umzusetzen.
Fazit
Diese Strategie bietet eine ausgewogene Mischung aus Einfachheit, Anpassungsfähigkeit und Risikokontrolle. Sie ist ideal für Trader, die eine systematische und regelbasierte Herangehensweise suchen, um in trendstarken Märkten konsistente Gewinne zu erzielen.
Buchen Sie jetzt und starten Sie Ihre Trading-Reise mit einer bewährten und optimierten Strategie! 🚀
Bollinger Bands StrategyBeginner strategy to know easy buy and sell strategy with no decent knowledge of levels
AM Range Breakoutprice crossing opening range at 9.45 triggers entry TP at1.2r
no trades after midday, trying to catch the opening push higher or lower, trade all 4 indices to follow the 'overall' price
1 contract allows x 4 at TP or -4 at stop (unless manually adjusted)
TASHAEntry Trigger
Parabolic SAR (PSAR): This indicator helps identify potential trend reversals. A sell signal might occur when the PSAR is above the price, indicating a downtrend. When developing your strategy, look for PSAR dots to switch positions relative to the price chart.
Confluence Indicators:
MACD (Moving Average Convergence Divergence): Look for bearish crossovers (when the MACD line crosses below the signal line) to confirm your entry signal from PSAR.
Stochastic Oscillator: A reading above 80 can indicate overbought conditions. Confirmation here would include the %K line crossing below the %D line.
ZLEMA (Zero-Lag Exponential Moving Average): Use this to identify the trend's direction. A downward slope or the price being below the ZLEMA could confirm a bearish bias.
Accumulation Distribution Line (ADL): This technical indicator can confirm the trend's strength. If the ADL is declining while price moves upwards, it can confirm that the upward move may not be sustainable.
Exit Trigger
Parabolic SAR (PSAR): Use the PSAR flip (when it moves below the price) as an exit signal, indicating a potential trend reversal to the upside.
Confirmation Indicators:
RSI (Relative Strength Index): Look for overbought conditions, typically above 70, to confirm an exit signal.
Stochastic Oscillator: A reading above 80, combined with a crossover (where %K crosses below %D), can signal a good opportunity to exit a trade.
VWAP (Volume Weighted Average Price): If the price crosses below the VWAP, it may indicate a shift in sentiment from bullish to bearish.
PPS (Pivots Points Standard): Look for price action around pivot levels. If the price is failing to hold above a key pivot level, it could be a reason to exit.
NIFTY 50 Reversal Strategy🎯 Entry Rules:
🔴 Bearish Reversal Setup (Short Trade)
🔹 Conditions to Enter a SHORT Trade:
Price hits a strong resistance (Pivot Point, Supply Zone, or Fibonacci 61.8%)
Bearish candlestick confirmation:
Bearish Engulfing
Shooting Star (Long wick on top)
Doji (Indecision) after an uptrend
EMA Crossover: EMA 10 crosses below EMA 50
RSI above 70 (overbought) or shows Bearish Divergence
VWAP Rejection (Price touches VWAP & drops)
Volume Drops or Spikes Bearishly (Volume confirmation)
✅ ENTRY: Enter a SHORT position on the next candle close after confirmation.
🎯 TARGETS:
Target 1: Next Pivot Support or 0.5% drop
Target 2: Fibonacci 50% retracement
Target 3: VWAP Mean Reversion
🛑 STOP-LOSS:
Above the recent swing high / wick (+0.2% buffer)
ATR-based SL for volatility
🟢 Bullish Reversal Setup (Long Trade)
🔹 Conditions to Enter a LONG Trade:
Price hits a strong support (Pivot Point, Demand Zone, or Fibonacci 61.8%)
Bullish candlestick confirmation:
Bullish Engulfing
Hammer / Pin Bar (Long wick at bottom)
Doji (Indecision) at Support
EMA Crossover: EMA 10 crosses above EMA 50
RSI below 30 (oversold) or shows Bullish Divergence
VWAP Support (Price touches VWAP & bounces)
Volume Surge in Bullish Candles
✅ ENTRY: Enter a LONG position on the next candle close after confirmation.
🎯 TARGETS:
Target 1: Next Pivot Resistance or 0.5% rise
Target 2: Fibonacci 50% retracement
Target 3: VWAP Mean Reversion
🛑 STOP-LOSS:
Below the recent swing low / wick (-0.2% buffer)
ATR-based SL for volatility
EMA + RSI Bullish Reversal with Target and Stop LossEMA + RSI Bullish Reversal with Target and Stop Loss
EMA Condition: 9 EMA is above the 21 EMA (indicating an uptrend).
RSI Condition: RSI is below 30 (indicating an oversold condition).
Entry Condition: When RSI crosses above 30, confirming a bullish reversal in an uptrend (9 EMA > 21 EMA), take a long position.
Target: Close the position when the price moves up by 0.5% from the entry.
MACD, PSAR, Bollinger Bands, Stochastic RSI, VWAP, VWMA StrategyFor Long position, i have considered multiple indicators
Smart Scalping Momentum StrategyThe Smart Scalping Momentum Strategy is a powerful and well-optimized trading strategy designed for Forex, Crypto, and XAU/USD (Gold) markets. It focuses on high-probability entries based on price momentum, trend confirmation, and volatility adjustments. The strategy aims to maximize daily profits while maintaining a low-risk exposure by utilizing multiple technical indicators and strict risk management rules.
is_strategyCorrection-Adaptive Trend Strategy (Open-Source)
Core Advantage: Designed specifically for the is_correction indicator, with full transparency and customization options.
Key Features:
Open-Source Code:
✅ Full access to the strategy logic – study how every trade signal is generated.
✅ Freedom to customize – modify entry/exit rules, risk parameters, or add new indicators.
✅ No black boxes – understand and trust every decision the strategy makes.
Built for is_correction:
Filters out false signals during market noise.
Works only in confirmed trends (is_correction = false).
Adaptable for Your Needs:
Change Take Profit/Stop Loss ratios directly in the code.
Add alerts, notifications, or integrate with other tools (e.g., Volume Profile).
For Developers/Traders:
Use the code as a template for your own strategies.
Test modifications risk-free on historical data.
How the Strategy Works:
Main Goal:
Automatically buys when the price starts rising and sells when it starts falling, but only during confirmed trends (ignoring temporary pullbacks).
What You See on the Chart:
📈 Up arrows ▼ (below the candle) = Buy signal.
📉 Down arrows ▲ (above the candle) = Sell signal.
Gray background = Market is in a correction (no trades).
Key Mechanics:
Buy Condition:
Price closes higher than the previous candle + is_correction confirms the main trend (not a pullback).
Example: Red candle → green candle → ▼ arrow → buy.
Sell Condition:
Price closes lower than the previous candle + is_correction confirms the trend (optional: turn off short-selling in settings).
Exit Rules:
Closes trades automatically at:
+0.5% profit (adjustable in settings).
-0.5% loss (adjustable).
Or if a reverse signal appears (e.g., sell signal after a buy).
User-Friendly Settings:
Sell – On (default: ON):
ON → Allows short-selling (selling when price falls).
OFF → Strategy only buys and closes positions.
Revers (default: OFF):
ON → Inverts signals (▼ = sell, ▲ = buy).
%Profit & %Loss:
Adjust these values (0-30%) to increase/decrease profit targets and risk.
Example Scenario:
Buy Signal:
Price rises for 3 days → green ▼ arrow → strategy buys.
Stop loss set 0.5% below entry price.
If price keeps rising → trade closes at +0.5% profit.
Correction Phase:
After a rally, price drops for 1 day → gray background → strategy ignores the drop (no action).
Stop Loss Trigger:
If price drops 0.5% from entry → trade closes automatically.
Key Features:
Correction Filter (is_correction):
Acts as a “noise filter” → avoids trades during temporary pullbacks.
Flexibility:
Disable short-selling, flip signals, or tweak profit/loss levels in seconds.
Transparency:
Open-source code → see exactly how every signal is generated (click “Source” in TradingView).
Tips for Beginners:
Test First:
Run the strategy on historical data (click the “Chart” icon in TradingView).
See how it performed in the past.
Customize It:
Increase %Profit to 2-3% for volatile assets like crypto.
Turn off Sell – On if short-selling confuses you.
Trust the Stop Loss:
Even if you think the price will rebound, the strategy will close at -0.5% to protect your capital.
Where to Find Settings:
Click the strategy name on the top-left of your chart → adjust sliders/toggles in the menu.
Русская Версия
Трендовая стратегия с открытым кодом
Главное преимущество: Полная прозрачность логики и адаптация под ваши нужды.
Особенности:
Открытый исходный код:
✅ Видите всю «кухню» стратегии – как формируются сигналы, когда открываются сделки.
✅ Меняйте правила – корректируйте тейк-профит, стоп-лосс или добавляйте новые условия.
✅ Никаких секретов – вы контролируете каждое правило.
Заточка под is_correction:
Игнорирует ложные сигналы в коррекциях.
Работает только в сильных трендах (is_correction = false).
Гибкая настройка:
Подстройте параметры под свой риск-менеджмент.
Добавьте свои индикаторы или условия для входа.
Для трейдеров и разработчиков:
Используйте код как основу для своих стратегий.
Тестируйте изменения на истории перед реальной торговлей.
Простыми словами:
Почему это удобно:
Открытый код = полный контроль. Вы можете:
Увидеть, как именно стратегия решает купить или продать.
Изменить правила закрытия сделок (например, поставить TP=2% вместо 1.5%).
Добавить новые условия (например, торговать только при высоком объёме).
Примеры кастомизации:
Новички: Меняйте только TP/SL в настройках (без кодинга).
Продвинутые: Добавьте RSI-фильтр, чтобы избегать перекупленности.
Разработчики: Встройте стратегию в свою торговую систему.
Как начать:
Скачайте код из TradingView.
Изучите логику в разделе strategy.entry/exit.
Меняйте параметры в блоке input.* (безопасно!).
Тестируйте изменения и оптимизируйте под свои цели.
Как работает стратегия:
Главная задача:
Автоматически покупает, когда цена начинает расти, и продаёт, когда падает. Но делает это «умно» — только когда рынок в основном тренде, а не во временном откате (коррекции).
Что видно на графике:
📈 Стрелки вверх ▼ (под свечой) — сигнал на покупку.
📉 Стрелки вниз ▲ (над свечой) — сигнал на продажу.
Серый фон — рынок в коррекции (не торгуем).
Как это работает:
Когда покупаем:
Если цена закрылась выше предыдущей и индикатор is_correction показывает «основной тренд» (не коррекция).
Пример: Была красная свеча → стала зелёная → появилась стрелка ▼ → покупаем.
Когда продаём:
Если цена закрылась ниже предыдущей и is_correction подтверждает тренд (опционально, можно отключить в настройках).
Когда закрываем сделку:
Автоматически при достижении:
+0.5% прибыли (можно изменить в настройках).
-0.5% убытка (можно изменить).
Или если появился противоположный сигнал (например, после покупки пришла стрелка продажи).
Настройки для чайников:
«Sell – On» (включено по умолчанию):
Если включено → стратегия будет продавать в шорт.
Если выключено → только покупки и закрытие позиций.
«Revers» (выключено по умолчанию):
Если включить → стратегия будет работать наоборот (стрелки ▼ = продажа, ▲ = покупка).
«%Profit» и «%Loss»:
Меняйте эти цифры (от 0 до 30), чтобы увеличить/уменьшить прибыль и риски.
Пример работы:
Сигнал на покупку:
Цена 3 дня растет → появляется зелёная стрелка ▼ → стратегия покупает.
Стоп-лосс ставится на 0.5% ниже цены входа.
Если цена продолжает расти → сделка закрывается при +0.5% прибыли.
Коррекция:
После роста цена падает на 1 день → фон становится серым → стратегия игнорирует это падение (не закрывает сделку).
Стоп-лосс:
Если цена упала на 0.5% от точки входа → сделка закрывается автоматически.
Важные особенности:
Фильтр коррекций (is_correction):
Это «защита от шума» — стратегия не реагирует на мелкие откаты, работая только в сильных трендах.
Гибкие настройки:
Можно запретить шорты, перевернуть сигналы или изменить уровни прибыли/убытка за 2 клика.
Прозрачность:
Весь код открыт → вы можете увидеть, как формируется каждый сигнал (меню «Исходник» в TradingView).
Советы для новичков:
Начните с теста:
Запустите стратегию на исторических данных (кнопка «Свеча» в окне TradingView).
Посмотрите, как она работала в прошлом.
Настройте под себя:
Увеличьте %Profit до 2-3%, если торгуете валюты.
Отключите «Sell – On», если не понимаете шорты.
Доверяйте стоп-лоссу:
Даже если кажется, что цена развернётся — стратегия закроет сделку при -0.5%, защитив ваш депозит.
Где найти настройки:
Кликните на название стратегии в верхнем левом углу графика → откроется меню с ползунками и переключателями.
Важно: Стратегия предоставляет «рыбу» – чтобы она стала «уловистой», адаптируйте её под свой стиль торговли!
Enhanced Bollinger Bands Strategy for SilverThis strategy uses Bollinger bands, RSI, volumes and trend analysis to provide smooth trades and ride longer trends
Breakouts With Timefilter Strategy [LuciTech]This strategy captures breakout opportunities using pivot high/low breakouts while managing risk through dynamic stop-loss placement and position sizing. It includes a time filter to limit trades to specific sessions.
How It Works
A long trade is triggered when price closes above a pivot high, and a short trade when price closes below a pivot low.
Stop-loss can be set using ATR, prior candle high/low, or a fixed point value. Take-profit is based on a risk-reward multiplier.
Position size adjusts based on the percentage of equity risked.
Breakout signals are marked with triangles, and entry, stop-loss, and take-profit levels are plotted.
moving average filter: Bullish breakouts only trigger above the MA, bearish breakouts below.
The time filter shades the background during active trading hours.
Customization:
Adjustable pivot length for breakout sensitivity.
Risk settings: percentage risked, risk-reward ratio, and stop-loss type.
ATR settings: length, smoothing method (RMA, SMA, EMA, WMA).
Moving average filter (SMA, EMA, WMA, VWMA, HMA) to confirm breakouts.
Opening Range Breakout (5-Min)orb trading strategiouoiasf askjdkj oasdfoi hasfsd asdf sdf sg sdg sdg dfh fgjfgjtyvcb
SMC M1 Supply & Demand ScalpingOverview
This strategy is designed for scalping on the 1-minute (M1) timeframe, focusing on Smart Money Concepts (SMC), supply and demand zones, and liquidity grabs. It aims to catch high-probability trade setups by identifying key areas where institutional traders are likely to enter or exit positions.
To improve accuracy, the strategy incorporates a higher-timeframe (M15) 50 EMA filter to ensure trades align with the overall trend. It also includes risk management tools such as fixed stop-loss and take-profit levels, with an optional trailing stop-loss for maximizing profits.
How It Works
1️⃣ Identifies supply & demand zones based on recent swing highs and lows.
2️⃣ Detects liquidity grabs (stop-hunts) at these zones to confirm smart money activity.
3️⃣ Waits for a break of structure (BOS) to validate trade direction.
4️⃣ Filters trades using the M15 EMA to ensure trend alignment.
5️⃣ Enters trades with a fixed risk-reward ratio (default 1:3) for consistency.
6️⃣ Manages risk with stop-loss, take-profit, and an optional trailing stop.
This structured approach helps traders avoid unnecessary trades and focus on high-probability setups with strong trend confirmation.
