Stock Buy SignalThis is for daily purchase strategy, buying at crosses of super trend followed by exit at 3%
지표 및 전략
EMA + RSI + MACD + Support & Resistance Combined StrategyStrategy: Enhanced EMA + RSI + MACD + Support & Resistance
This strategy combines multiple technical indicators to create a robust system for identifying market opportunities. By leveraging Exponential Moving Averages (EMA), Relative Strength Index (RSI), and Moving Average Convergence Divergence (MACD) for trend confirmation, along with Support and Resistance levels to trigger breakout trades, this strategy aims to capture both trending and breakout movements.
Indicators Used:
EMA (5, 20, 50, 200): Helps identify the prevailing market trend, with short-term EMAs crossing longer-term ones as signals of trend shifts.
RSI (14): Confirms whether the market is in a bullish (RSI > 50) or bearish (RSI < 50) zone, adding additional filter to entries.
MACD (12, 26, 9): Used to confirm the momentum, where a MACD line crossing above the signal line indicates a bullish signal and vice versa for bearish.
Breakout Strategy (Support & Resistance):
Support & Resistance levels are dynamically calculated based on a user-defined period.
Buy Condition: Triggered when price breaks above resistance and confirms bullish indicators (EMA, RSI, MACD).
Sell Condition: Triggered when price breaks below support and confirms bearish indicators (EMA, RSI, MACD).
Exits & Risk Management:
Trailing Stop: A trailing stop is applied to lock in profits as the price moves in favor of the trade. The stop is dynamically adjusted with the market price, providing better protection during strong trends.
Stop Loss: The stop loss is set at key support and resistance levels to ensure a safe exit if the market moves against the trade.
This strategy aims to provide more frequent entries, take advantage of breakouts, and effectively manage risk with trailing stops. It is suitable for traders looking to capture both trends and breakouts across various timeframes.
Estrategia EMA + RSIElser Senior Strategy: A Precise Approach to Profitable Trading
The Elser Senior strategy is designed for traders looking to take advantage of the best market opportunities with a robust technical approach. Using a combination of Exponential Moving Averages (EMA) and the Relative Strength Index (RSI), this strategy identifies key entry and exit points, allowing you to maximize profits and minimize risks.
Short and Long EMAs: Accurately detect the market trend, providing clear buy and sell signals.
RSI: Filters out false breakouts, focusing on overbought and oversold levels for more informed decision-making.
Customizable Stop Loss and Take Profit: Protects your capital with risk management settings tailored to your needs. Set a personalized Stop Loss and TP/SL ratio, optimizing your chances of success.
This strategy works across the most popular timeframes: 15 minutes, 1 hour, 4 hours, and 1 day, allowing you to adapt to different trading styles, from intraday to long-term positions.
Ideal for Forex, Indices, Commodities, and Cryptocurrencies, the Elser Senior Strategy has been crafted for serious traders seeking consistency and reliability in their operations. With a clear and easy-to-follow structure, it is perfect for both novice and experienced traders.
Follow the signals, optimize your risk management, and achieve successful trading with Elser Senior!
Adaptive ROC-Based Trading Strategy
Developed a quantitative trading strategy leveraging Rate of Change (ROC) and RSI for momentum-based entries.
Implements adaptive ROC thresholds to filter noise and enhance signal accuracy.
Dynamically adjusts position entries using a hybrid mean-reversion and trend-following approach.
Integrates Cobra Metrics for performance visualization, enabling real-time strategy evaluation.
Optimized for efficient execution and minimal computational overhead in TradingView.
Let me know if you want to highlight specific improvements or add more detail!
Malama's ScalpingMalama's Scalping Strategy Description
Purpose
"Malama's Scalping" is a strategy designed for traders who want to capitalize on short-term price movements in fast-moving markets. It identifies precise buy and sell opportunities by combining trend analysis, momentum, volume, volatility, and candlestick patterns. This script solves the problem of finding reliable entry and exit points in choppy or unpredictable markets, making it ideal for scalpers—traders who aim to profit from small, quick price changes—while offering built-in risk management through stop-loss and take-profit settings.
How It Works
The strategy uses a blend of popular technical indicators and custom logic to confirm trading signals:
Trend Direction: A 50-period Simple Moving Average (SMA) acts as a trend filter. If the price is above this line, it’s a bullish (buy-friendly) market; if below, it’s bearish (sell-friendly).
Momentum: The Relative Strength Index (RSI) measures price speed over 14 periods. It ensures the market isn’t overbought (RSI < 70) for buys or oversold (RSI > 30) for sells.
Volume: It compares current trading volume to a 20-period average to confirm strong market participation—only high-volume moves trigger signals.
Volatility: The Average True Range (ATR) over 14 periods checks if price swings are big enough (above a user-set minimum, default 2.0) to justify a trade.
Candlestick Patterns: Simple yet effective patterns (e.g., a bullish candle closing higher than the previous day’s close after opening lower) add confirmation to signals.
A buy or sell signal only triggers when all these conditions align, ensuring high-probability trades. Once a signal fires, the strategy automatically places trades with customizable stop-loss (e.g., 1% below entry) and take-profit (e.g., 2% above entry) levels.
How to Use It
Adding to TradingView: Open TradingView, go to the "Pine Editor" at the bottom, paste the script, and click "Add to Chart." You’ll see a blue trend line and buy/sell labels appear.
Configuring Settings: Adjust inputs in the "Settings" menu:
Trend Length (50): Increase for smoother trends, decrease for faster signals.
RSI Length (14): Tweak for sensitivity to momentum.
Stop Loss (1%) and Take Profit (2%): Set based on your risk tolerance.
Volume Length (20): Adjust to filter volume strength.
Volatility Length (14) and Minimum Volatility (2.0): Fine-tune for your asset (e.g., higher for volatile stocks like TSLA).
Interpreting Signals:
A green "Buy" label below a bar means enter a long position.
A red "Sell" label above a bar means enter a short position.
Watch the blue trend line to gauge the bigger picture.
Tips for Beginners: Start with the default settings on a 1- or 5-minute chart for scalping. Test it on a demo account first to get comfortable with the signals.
For Pros: Pair it with your favorite indicators (e.g., Bollinger Bands) or adjust the ATR minimum for specific markets. Use backtesting in TradingView’s "Strategy Tester" to optimize settings.
Originality
What makes "Malama's Scalping" stand out is its multi-filter approach. Unlike basic strategies relying on one or two indicators, it demands agreement across trend, momentum, volume, volatility, and candlestick patterns—reducing false signals and boosting confidence. The built-in automation with customizable risk management also sets it apart, offering a hands-off option for scalpers who want precision without constant monitoring. Plus, its flexibility (e.g., adjustable volatility for stocks like TSLA) makes it adaptable to various assets and timeframes, a rarity in scalping tools.
This strategy bridges the gap between simplicity for beginners and robustness for pros, delivering a unique, all-in-one scalping solution.
My scriptDeveloped a quantitative trading strategy leveraging Rate of Change (ROC) and RSI for momentum-based entries.
Implements adaptive ROC thresholds to filter noise and enhance signal accuracy.
Dynamically adjusts position entries using a hybrid mean-reversion and trend-following approach.
Integrates Cobra Metrics for performance visualization, enabling real-time strategy evaluation.
Optimized for efficient execution and minimal computational overhead in TradingView.
Let me know if you want to highlight specific improvements or add more detail!
5-Min EMA (5 & 20) + RSI + MACD StrategyThis strategy uses a combination of Exponential Moving Averages (EMA), Relative Strength Index (RSI), and the Moving Average Convergence Divergence (MACD) to identify potential buy (bullish) and sell (bearish) signals on a 5-minute intraday chart_______________By Million mantra Telugu
Crypto MA Cross StrategyBuy with MA crossover. Take profit when price reaches your percentage target. Stops at defined percentage below the buy price
BTC Macro Liquidity StrategyProvides a trading strategy for Bitcoin based on US Liquidity. Goes long when US liquidity goes above the US liquidity 30 day SMA.
Enhanced MA and RSI StrategyOverview: Trend following is a strategy that attempts to capture gains through the analysis of an asset's momentum in a particular direction. One of the simplest and most effective ways to implement a trend-following strategy is using moving averages.
Key Components
Indicators Used:
Moving Averages: Typically, a combination of a short-term and a long-term moving average (e.g., 50-day and 200-day simple moving averages).
Entry Signals:
Buy Signal: When the short-term moving average crosses above the long-term moving average (Golden Cross).
Sell Signal: When the short-term moving average crosses below the long-term moving average (Death Cross).
Exit Signals:
Close the position when the opposite signal occurs (i.e., sell when a death cross happens after a buy).
Risk Management:
Set stop-loss orders below the most recent swing low (for long positions) or above the swing high (for short positions).
Use a risk-to-reward ratio of at least 1:2.
Example of the Strategy in Action
Assumptions:
We will use a 50-day moving average as the short-term and a 200-day moving average as the long-term.
Buy Signal Example:
Date: March 1, 2023
Short MA (50-day): $100
Long MA (200-day): $98
Action: Buy when the 50-day MA crosses above the 200-day MA.
Sell Signal Example:
Date: June 1, 2023
Short MA (50-day): $120
Long MA (200-day): $119
Action: Sell when the 50-day MA crosses below the 200-day MA.
Advantages of the Strategy
Simplicity: Easy to understand and implement.
Objective: Removes emotional decision-making by relying on predefined
Advanced Adaptive EA v3.0Just testing out something for the London, New York, Tokyo sessions. Tell me how you win.
Cycle Biologique Strategy // (\_/)
// ( •.•)
// (")_(")
//@fr33domz
Experimental Research: Cycle Biologique Strategy
Overview
The "Cycle Biologique Strategy" is an experimental trading algorithm designed to leverage periodic cycles in price movements by utilizing a sinusoidal function. This strategy aims to identify potential buy and sell signals based on the behavior of a custom-defined biological cycle.
Key Parameters
Cycle Length: This parameter defines the duration of the cycle, set by default to 30 periods. The user can adjust this value to optimize the strategy for different asset classes or market conditions.
Amplitude: The amplitude of the cycle influences the scale of the sinusoidal wave, allowing for customization in the sensitivity of buy and sell signals.
Offset: The offset parameter introduces phase shifts to the cycle, adjustable within a range of -360 to 360 degrees. This flexibility allows the strategy to align with various market rhythms.
Methodology
The core of the strategy lies in the calculation of a periodic cycle using a sinusoidal function.
Trading Signals
Buy Signal: A buy signal is generated when the cycle value crosses above zero, indicating a potential upward momentum.
Sell Signal: Conversely, a sell signal is triggered when the cycle value crosses below zero, suggesting a potential downtrend.
Execution
The strategy executes trades based on these signals:
Upon receiving a buy signal, the algorithm enters a long position.
When a sell signal occurs, the strategy closes the long position.
Visualization
To enhance user experience, the periodic cycle is plotted visually on the chart in blue, allowing traders to observe the cyclical nature of the strategy and its alignment with market movements.
VWAP + RSI Divergence Intraday
VWAP for trend confirmation
RSI divergence detection
Entry signals when price breaks above VWAP with increasing volume
Stop-loss & take-profit levels
Fibonacci BB Strategy with RSI + 2% Exit📈 Fibonacci BB Strategy with RSI + 2% Exit
This TradingView strategy combines Fibonacci Bollinger Bands (FBB) with Relative Strength Index (RSI) and a fixed 2% profit-taking mechanism to generate long and short trading signals. It’s designed for traders who want to capitalize on strong price movements with clear trend signals and smart exit logic.
🔍 What This Strategy Does
This script enters trades based on breakouts from a custom Bollinger Band derived from the VWMA (Volume Weighted Moving Average) and standard deviation, using the full 1.0 Fibonacci level. It then exits positions based on either:
A fixed 2% profit target, or
RSI-based reversal signals to lock in profits or limit downside.
📐 Indicator Components
VWMA Basis Line (Fuchsia)
A 200-period Volume Weighted Moving Average (VWMA), which forms the central basis of the Fibonacci Bollinger Bands. This line adjusts dynamically with volume, giving a better representation of trend direction in actively traded markets.
Upper Band (Red)
Calculated as: VWMA + (1 × standard deviation)
Represents a potential resistance or breakout trigger.
Lower Band (Green)
Calculated as: VWMA - (1 × standard deviation)
Represents a potential support or breakdown trigger.
RSI (Relative Strength Index)
A 14-period RSI is used to filter exits when momentum weakens:
RSI < 30 signals oversold (potential long exit).
RSI > 70 signals overbought (potential short exit).
🎯 Trade Entry Logic
Long Entry:
Triggered when the closing price crosses above the Upper Band (red).
Interpreted as bullish momentum strong enough to break resistance.
Short Entry:
Triggered when the closing price crosses below the Lower Band (green).
Interpreted as bearish momentum breaking through support.
🚪 Trade Exit Logic
Profit Target (2%):
For long positions: closes trade when price increases 2% above entry.
For short positions: closes trade when price drops 2% below entry.
RSI-Based Exit:
Long position: Exit if RSI < 30 (momentum weakening).
Short position: Exit if RSI > 70 (momentum fading).
This two-pronged exit strategy ensures that trades are closed either when the target is hit or when momentum reverses, offering flexibility and risk control.
⚙️ Customizable Inputs
VWMA Length – Number of periods for VWMA (default: 200)
Source – Price source for VWMA and bands (default: HLC3)
Deviation Multiplier – Standard deviation multiplier (default: 3.0)
RSI Length – RSI period (default: 14)
Profit Target (%) – Fixed percentage profit target (default: 2.0%)
📌 Best Use Cases
Trend Breakout Strategy: Captures momentum moves as price breaks out of key VWMA-based levels.
Scalping and Swing Trades: Can work on intraday or higher timeframes.
Risk-Controlled Trading: Combines price action with momentum and fixed-profit rules.
✅ Visual Aids
Fuchsia Line: VWMA basis
Red Line: Upper Band (buy trigger)
Green Line: Lower Band (sell trigger)
These help you see when the strategy will enter or exit trades based on key technical levels.
SPY Frequent Trading Strategythis is my SPY long term trading strategy:
entry if all conditions are met:
5 day rs is below 30
5 day rsi reading is down for the third day in a row
5 day rsi was below 60 three trading days ago
the close is higher than the 200 day moving average
exit when the 5 day rsi is above 50
I want to convert it into a strategy that trades more frequently, so adjust the rules so that it willl be taking multiple trades a week. and build it in pine script
EMA Supertrend StrategyAERVA EMA Supertrend Strategy
Original TradingView Script for Trend-following Strategy with Buy/Sell Signals
This strategy uses a combination of Exponential Moving Averages (EMA), Supertrend, and Fibonacci to identify potential Buy and Sell signals. The strategy focuses on detecting price action with two consecutive green candles crossing above the 200 EMA for a buy signal and two consecutive red candles crossing below the 200 EMA for a sell signal.
Key Components:
50 EMA and 200 EMA: Used to identify the trend and signal potential reversals or continuations.
Supertrend: Helps visualize the trend direction and smooths out price movements.
Fibonacci: Adds an additional layer of confluence for trade entries.
Buy Condition: A buy signal is triggered when two consecutive green candles cross above the 200 EMA.
Sell Condition: A sell signal is triggered when two consecutive red candles cross below the 200 EMA.
Features:
Buy/Sell Signals: Clear visual cues on the chart, with arrows and labels marking the entry points.
Supertrend: Displays green/red trends to help confirm the overall market direction.
Fibonacci: Plotting Fibonacci levels to support your decision-making for potential trade setups.
Risk Management & Backtesting: This script supports backtesting within the TradingView environment, and the strategy includes realistic commission and slippage parameters to reflect more accurate trade results.
The script is designed for traders who want a clear and systematic approach to identifying potential trend-following trade opportunities using a combination of classic technical indicators and price action.
Hashtags:
#AERVA #EMA #Supertrend #TradingStrategy #TechnicalAnalysis #TrendFollowing #BuyAndSellSignals #StockTrading #CryptoTrading #ForexTrading #TradingView #Backtesting #MarketTrends #Fibonacci #TechnicalIndicators #PriceAction #SwingTrading #DayTrading #TradingSystem #CustomStrategy #PineScript
Strategy Stats [presentTrading]Hello! it's another weekend. This tool is a strategy performance analysis tool. Looking at the TradingView community, it seems few creators focus on this aspect. I've intentionally created a shared version. Welcome to share your idea or question on this.
█ Introduction and How it is Different
Strategy Stats is a comprehensive performance analytics framework designed specifically for trading strategies. Unlike standard strategy backtesting tools that simply show cumulative profits, this analytics suite provides real-time, multi-timeframe statistical analysis of your trading performance.
Multi-timeframe analysis: Automatically tracks performance metrics across the most recent time periods (last 7 days, 30 days, 90 days, 1 year, and 4 years)
Advanced statistical measures: Goes beyond basic metrics to include Information Coefficient (IC) and Sortino Ratio
Real-time feedback: Updates performance statistics with each new trade
Visual analytics: Color-coded performance table provides instant visual feedback on strategy health
Integrated risk management: Implements sophisticated take profit mechanisms with 3-step ATR and percentage-based exits
BTCUSD Performance
The table in the upper right corner is a comprehensive performance dashboard showing trading strategy statistics.
Note: While this presentation uses Vegas SuperTrend as the underlying strategy, this is merely an example. The Stats framework can be applied to any trading strategy. The Vegas SuperTrend implementation is included solely to demonstrate how the analytics module integrates with a trading strategy.
⚠️ Timeframe Limitations
Important: TradingView's backtesting engine has a maximum storage limit of 10,000 bars. When using this strategy stats framework on smaller timeframes such as 1-hour or 2-hour charts, you may encounter errors if your backtesting period is too long.
Recommended Timeframe Usage:
Ideal for: 4H, 6H, 8H, Daily charts and above
May cause errors on: 1H, 2H charts spanning multiple years
Not recommended for: Timeframes below 1H with long history
█ Strategy, How it Works: Detailed Explanation
The Strategy Stats framework consists of three primary components: statistical data collection, performance analysis, and visualization.
🔶 Statistical Data Collection
The system maintains several critical data arrays:
equityHistory: Tracks equity curve over time
tradeHistory: Records profit/loss of each trade
predictionSignals: Stores trade direction signals (1 for long, -1 for short)
actualReturns: Records corresponding actual returns from each trade
For each closed trade, the system captures:
float tradePnL = strategy.closedtrades.profit(tradeIndex)
float tradeReturn = strategy.closedtrades.profit_percent(tradeIndex)
int tradeType = entryPrice < exitPrice ? 1 : -1 // Direction
🔶 Performance Metrics Calculation
The framework calculates several key performance metrics:
Information Coefficient (IC):
The correlation between prediction signals and actual returns, measuring forecast skill.
IC = Correlation(predictionSignals, actualReturns)
Where Correlation is the Pearson correlation coefficient:
Correlation(X,Y) = (nΣXY - ΣXY) / √
Sortino Ratio:
Measures risk-adjusted return focusing only on downside risk:
Sortino = (Avg_Return - Risk_Free_Rate) / Downside_Deviation
Where Downside Deviation is:
Downside_Deviation = √
R_i represents individual returns, T is the target return (typically the risk-free rate), and n is the number of observations.
Maximum Drawdown:
Tracks the largest percentage drop from peak to trough:
DD = (Peak_Equity - Trough_Equity) / Peak_Equity * 100
🔶 Time Period Calculation
The system automatically determines the appropriate number of bars to analyze for each timeframe based on the current chart timeframe:
bars_7d = math.max(1, math.round(7 * barsPerDay))
bars_30d = math.max(1, math.round(30 * barsPerDay))
bars_90d = math.max(1, math.round(90 * barsPerDay))
bars_365d = math.max(1, math.round(365 * barsPerDay))
bars_4y = math.max(1, math.round(365 * 4 * barsPerDay))
Where barsPerDay is calculated based on the chart timeframe:
barsPerDay = timeframe.isintraday ?
24 * 60 / math.max(1, (timeframe.in_seconds() / 60)) :
timeframe.isdaily ? 1 :
timeframe.isweekly ? 1/7 :
timeframe.ismonthly ? 1/30 : 0.01
🔶 Visual Representation
The system presents performance data in a color-coded table with intuitive visual indicators:
Green: Excellent performance
Lime: Good performance
Gray: Neutral performance
Orange: Mediocre performance
Red: Poor performance
█ Trade Direction
The Strategy Stats framework supports three trading directions:
Long Only: Only takes long positions when entry conditions are met
Short Only: Only takes short positions when entry conditions are met
Both: Takes both long and short positions depending on market conditions
█ Usage
To effectively use the Strategy Stats framework:
Apply to existing strategies: Add the performance tracking code to any strategy to gain advanced analytics
Monitor multiple timeframes: Use the multi-timeframe analysis to identify performance trends
Evaluate strategy health: Review IC and Sortino ratios to assess predictive power and risk-adjusted returns
Optimize parameters: Use performance data to refine strategy parameters
Compare strategies: Apply the framework to multiple strategies to identify the most effective approach
For best results, allow the strategy to generate sufficient trade history for meaningful statistical analysis (at least 20-30 trades).
█ Default Settings
The default settings have been carefully calibrated for cryptocurrency markets:
Performance Tracking:
Time periods: 7D, 30D, 90D, 1Y, 4Y
Statistical measures: Return, Win%, MaxDD, IC, Sortino Ratio
IC color thresholds: >0.3 (green), >0.1 (lime), <-0.1 (orange), <-0.3 (red)
Sortino color thresholds: >1.0 (green), >0.5 (lime), <0 (red)
Multi-Step Take Profit:
ATR multipliers: 2.618, 5.0, 10.0
Percentage levels: 3%, 8%, 17%
Short multiplier: 1.5x (makes short take profits more aggressive)
Stop loss: 20%
RSI Pro+ (Bear market, financial crisis and so on EditionIn markets defined by volatility, fear, and uncertainty – the battlegrounds of bear markets and financial crises – you need tools forged in resilience. Introducing RSI Pro+, a strategy built upon a legendary indicator born in 1978, yet engineered with modern visual clarity to remain devastatingly effective even in the chaotic financial landscapes of 3078.
This isn't about complex algorithms predicting the unpredictable. It's about harnessing the raw, time-tested power of the Relative Strength Index (RSI) to identify potential exhaustion points and capitalize on oversold conditions. RSI Pro+ cuts through the noise, providing clear, actionable signals when markets might be poised for a relief bounce or reversal.
Core Technology (The 1978 Engine):
RSI Crossover Entry: The strategy initiates a LONG position when the RSI (default period 11) crosses above a user-defined low threshold (default 30). This classic technique aims to enter when selling pressure may be waning, offering potential entry points during sharp downturns or periods of consolidation after a fall.
Modern Enhancements (The 3078 Cockpit):
RSI Pro+ isn't just about the signal; it's about providing a professional-grade visual experience directly on your chart:
Entry Bar Highlight: A subtle background flash on the chart signals the exact bar where the RSI crossover condition is met, alerting you to potential entry opportunities.
Trade Bar Coloring: Once a trade is active, the price bars are subtly colored, giving you immediate visual confirmation that the strategy is live in the market.
Entry Price Line: A clear, persistent line marks your exact average entry price for the duration of the trade, serving as a crucial visual anchor.
Take Profit Line: Your calculated Take Profit target is plotted as a distinct line, keeping your objective clearly in sight.
Custom Entry Marker: A precise shape (▲) appears below the bar where the trade entry was actually executed, pinpointing the start of the position.
On-Chart Info Table (HUD): A clean, customizable Heads-Up Display appears when a trade is active, showing vital information at a glance:
Entry Price: Your position's average cost basis.
TP Target: The calculated price level for your Take Profit exit.
Current PnL%: Real-time Profit/Loss percentage for the open trade.
Full Customization: Nearly every aspect is configurable via the settings menu:
RSI Period & Crossover Level
Take Profit Percentage
Toggle ALL visual enhancements on/off individually
Position the Info Table wherever you prefer on the chart.
How to Use RSI Pro+:
Add to Chart: Apply the "RSI Pro+ (Bear market...)" strategy to your TradingView chart. Ensure any previous versions are removed.
Access Settings: Click the cogwheel icon (⚙️) next to the strategy name on your chart.
Configure Inputs (Crucial Step):
RSI Crossover Level: This is key. The default (30) targets standard oversold conditions. In severe downturns, you might experiment with lower levels (e.g., 25, 20) or higher ones (e.g., 40) depending on the asset and timeframe. Observe where RSI(11) typically bottoms out on your chart.
Take Profit Percentage (%): Define your desired profit target per trade (e.g., enter 0.5 for 0.5%, 1.0 for 1%). The default is a very small 0.11%.
RSI Period: While default is 11, you can adjust this (e.g., the standard 14).
Visual Enhancements: Enable or disable the visual features (background highlights, bar coloring, lines, markers, table) according to your preference using the checkboxes. Adjust table position.
Observe & Backtest: Watch how the strategy behaves on your chosen asset and timeframe. Use TradingView's Strategy Tester to analyze historical performance based on your settings. No strategy works perfectly everywhere; testing is essential.
Important Considerations:
Risk Management: This specific script version focuses on a Take Profit exit. It does not include an explicit Stop Loss. You MUST manage risk through appropriate position sizing, potentially adding a Stop Loss manually, or by modifying the script.
Oversold ≠ Reversal: An RSI crossover is an indicator of potential exhaustion, not a guarantee of a price reversal.
Fixed TP: A fixed percentage TP ensures small wins but may exit before larger potential moves.
Backtesting Limitations: Past performance does not guarantee future results.
RSI Pro+ strips away complexity to focus on a robust, time-honored principle, enhanced with modern visuals for the discerning trader navigating today's (and tomorrow's) challenging markets
High-Win Trend & Momentum StrategyStrategy created by team Narayan Ventures. Details are below for reference.
✅ Trend-Following (EMA-Based Entries)
✅ Momentum Confirmation (RSI & MACD)
✅ ATR-Based Dynamic Stop-Loss
✅ Risk-Reward Ratio (1:1, 1:2 or 1:3, adjustable)
✅ Backtest Results Display
MACD + RSI + ADX + EMA Strategy PROThis strategy combines MACD crossovers, RSI momentum, ADX trend strength, EMA trend bias, and ATR-based filters to generate high-quality entries. It includes risk-based position sizing, trailing stops, and optional higher-timeframe confirmation for smarter, cleaner trades. Great for crypto, forex, and trending markets on intraday timeframes.
