WhaleWizardBot (v1) by W2_Indicators (limited version)Description:
This script replicates historical trading signals generated by a highly advanced quantitative trading system currently running live.
The development of this system has taken over 2 years of rigorous research and implementation. Leveraging cutting-edge methodologies in quantitative analysis and machine learning, it processes vast amounts of market data to generate these signals.
Exclusive and Powerful:
The computational requirements to generate these signals are extremely demanding, utilizing high-performance computing resources. Because of this, the algorithm is currently for private use only and is not available for public distribution at this time.
Future Availability:
There may be a limited distribution of this system in the future under a highly exclusive subscription model. Due to the power and precision of this system, the subscription cost would be set at approximately 10,000 USD per month per user (with a very limited set of users).
Contact Information:
For inquiries about this algorithm, future availability, or partnerships, please feel free to reach out: undermetrics at gmail.com
or on x/twitter: x.com
지표 및 전략
Supertrend Strategy - Day TraderA high win-rate strategy designed for day traders, leveraging Supertrend to make precise trend-based trading decisions. Simple yet effective, this strategy is ideal for those aiming to maximize consistency in their trades.
Bollinger Band Touch with SMI and MACD AngleThis strategy is intended for short timeframes to enter and exit when price touches lower and upper bollinger bands with confluence on RSI and MACD
AIMS AlgoAIMS ALGO ⭐⭐⭐⭐⭐
The AIMS ALGO is a culmination of 20 years of practical trading and scientific testing on live and real trading accounts.
Strategy Testing - Signal Generation - MT4/MT5 Bridge - Trade Automation
The current version of AIMS Algo can be used for 3 purposes.
1. Use as an Indicator: Create and Use profitable Buy and Sell Signals on screen.
2. [b [Use as a Strategy Tester: Use it as a strategy tester. AIMS Algo allows you to back-test your strategy completely allowing you to have a high confidence before you take a trade.
3. Use as a TradingView to MT4/Mt4 Bridge: The AIMS Algo has built in settings and code for connecting TradingView to MT4/Mt5 platforms using industry favourit PineConnector.
Key Features
-⭐ Dual session trading (e.g., London and US sessions)
-⭐Advanced risk management with adjustable risk percentage and max daily loss
-⭐ Position scaling with multiple take-profit levels
-⭐ Customizable entry and exit conditions
-⭐ Visual enhancements for better trade analysis
-⭐ Comprehensive info box with real-time strategy performance
-⭐ Built-in Settings to Connect TradingView to MT4/Mt5 via PineConnector
-⭐ Use it as Strategy Tester or Trading Indicator
-⭐ Multiple Built in Indicators allows for comprehensive testing.
Strategy Results for DAX40 and NASDAQ100 Scalping Strategy
Optimized for short-term trades, this strategy includes robust risk management features, making it suitable for traders who focus on quick, high-frequency market interactions.
Indicators Used
AIMS Algo 👹 employs a sophisticated combination of traditional technical indicators and advanced statistical models to generate high-probability trading signals:
RSI The Relative Strength Indicator:
Relative Strength Index (RSI) is employed to filter trades based on market conditions.
Overbought/oversold levels are configured (default: 70 for overbought, 30 for oversold), helping to avoid trades in overextended market conditions.
If the RSI is overbought, no buy trades are taken, and if it's oversold, no sell trades are taken.
Exponential Moving Average (EMA):
Utilized for trend detection and dynamic support/resistance levels
Implemented with Fibonacci numbers that we found to work based on the concepts of Trading Chaos and custom settings for multi-timeframe analysis
Supertrend Indicator:
Adapted for overall trend direction identification
Integrated as a trend filter, ensuring that trades align with the broader market direction.
The strategy will only take buy trades during an uptrend and sell trades during a downtrend as indicated by the SuperTrend.
Parabolic SAR:
The strategy includes Parabolic SAR as an additional trend indicator.
Future Integration: Parabolic SAR is planned to be used for trailing stop losses to lock in profits during trending markets.
Trading Chaos Theory based AIMS Indicators:
AIMS Box, AIMS Gator, and Purple Magic are essential components of our trading methodology, and we are thrilled to offer these indicators directly to the TradingView community.
Awesome Oscillator (AO) - (Bill Williams Trading Chaos Concept)
AO is used to determine the market momentum and whether it aligns with the trade signal.
Bullish condition: When AO is above zero and green, indicating upward momentum.
Bearish condition: When AO is below zero and red, indicating downward momentum.
AIMS Box: Fractals within a Box
The AIMS Box Indicator serves as a key tool for identifying breakout opportunities. It helps traders define areas of consolidation (known as a "box") by marking the highest highs and lowest lows of recent price action.
When the price breaks out of the box, it signals potential entry points for trades. The AIMS Box is particularly useful for traders who want to capitalize on momentum shifts and identify when price is poised for significant movement.
You can read more about how to use the AIMS Box in detail on our website 👉🏼 here
or check out the published indicator directly on TradingView 👉🏼 here .
AIMS Gator:
The AIMS Gator is another powerful tool that complements the AIMS Box. It follows Bill Williams' Alligator strategy, which uses three moving averages to help identify trending markets and potential reversals. The Gator shows when the market is "sleeping" or "eating," indicating periods of consolidation or trending movement, respectively. This is invaluable for understanding market conditions and ensuring trades are placed in the most opportune environments.
You can read more about The Alligator Strategy here
Purple Magic:
The Purple Magic is an exciting indicator designed to help traders identify trends and trade setups with clarity. Purple Magic simplifies the process of finding entries and exits by applying a unique set of rules based on proprietary trading logic. It helps traders spot the best opportunities in trending markets and manage trades efficiently by signaling high-probability entries.
You can explore more about Purple Magic on TradingView 👉🏼here.
These indicators are proudly published by us and shared with the broader TradingView community to enhance your trading experience.
Great News! We've now seamlessly integrated these tools into AIMS Algo - The AIMS Algo, providing traders with a comprehensive trading system built on reliable and proven methods.
Custom Price Action Pattern Recognition:
The MonsterScalper 3 AIMS Algo uses proprietary algorithms developed through rigorous statistical analysis and machine learning techniques. Here is a brief history of how we found and validated our trading edge.
Statistical Analysis
We found a niche price pattern that lets the trader get into the market at the best possible time with the most accurate exit points.
The Process of Finding The Edge:
Here is what we did:
a. Identified using Professional and Corporate level Quant and Statistical Analysis Software.
b. Validated and refined through Python-based data analysis algorithms and Advanced Machine Learning techniques incorporating latest Artificial Intelligence tools.
c. Confirmed using historical data from Dukascopy, TradingView Data, MetaTrader Data and other sources - ensuring robustness across multiple data sources
Advanced Signal Generation Logic:
Integrates outputs from EMAs, Supertrend, RSI, Chaos Trading, Elliott Wave Theory, and custom price action patterns
Employs a weighted scoring system to rank potential trade setups
Incorporates market volatility and liquidity factors for adaptive signal thresholds
Machine Learning based Enhanced Filters:
( The following tasks were completed performing data Analysis utilising tools that are far more powerful and outside of TradingView's Pinescript
Utilizes a Random Forest classifier to further validate trade signals
Trained on historical data with features including:
Price action patterns
Technical indicator values
Market sentiment indicators
Macroeconomic data points
Continuously updated through online learning to adapt to evolving market conditions
How and When to Enter The Market:
Let's now learn about how the Algo identifies Entry Conditions.
Entry Conditions
Long Entry:
A pattern of price behavior where the most recent high and low must adhere to specific relationships with previous candles, indicating potential upward momentum.
An external indicator confirms the trend direction.
Trades are only valid within certain predefined time windows.
A safeguard ensures that no more than a defined number of trades are taken per day (if this feature is activated).
Risk management techniques are applied to get the best results.
Further Advanced Position Sizing methods applied to minimise drawdown percentages and duration.
Short Entry:
A similar but reverse pattern where the lows and highs follow a specific arrangement, signaling possible downward movement.
As with long entries, an optional trend filter and time restrictions apply.
A cap on daily trades ensures risk control.
A safeguard ensures that no more than a defined number of trades are taken per day (if this feature is activated).
Risk management techniques are applied to get the best results.
Further Advanced Position Sizing methods applied to minimise drawdown percentages and duration.
Exit Conditions
Long Exit:
A protective level is set below the entry point based on recent price action.
Profit-taking occurs at one or more predefined levels, depending on whether scaling out of trades is enabled.
The first profit level is a function of the entry range, while the second is calculated using a customizable multiple of the risk distance.
A further option will be available in future updates to set fixed take profit and stop loss levels using pips, points, percentage price movement or $ dollar amounts.
Short Exit:
The stop level is placed above the entry point, and profit levels mirror the logic of long exits, with slight adjustments for short trades.
As with longs, a single profit level is used if scaling out is not active.
Risk Management
The risk per trade is tied to recent market volatility, dynamically adjusting stop levels based on price movements.
Profit targets are flexible and tied to the distance of the stop.
Position sizes are calculated to maintain a consistent risk percentage of the overall account.
Trading halts for the day if a certain loss threshold is breached.
Separate trade limits apply to long and short positions, ensuring controlled exposure in both directions.
Advanced Risk Management:
AIMS Get Funded Risk Strategy:
This strategy is specifically designed for traders who would like to win prop firm challenges. To get funded fast we have incorporated martingale, pyramiding and reverse pyramiding risk and position sizing techniques.
This strategy introduces advanced risk management techniques, including:
Martingale Risk Method: When a trade loses, the position size increases for the next trade, aiming to recover losses more quickly.
Pyramiding and Reverse Pyramiding: These techniques allow scaling into and out of positions.
The strategy dynamically adjusts risk levels based on trade outcomes, increasing risk after wins and reducing it after losses.
Drawdown Management:
If the strategy experiences a drawdown e.g. 5%, the risk is automatically reduced to a lower level e.g. 0.25% until the drawdown is recovered. Once the drawdown period ends, the risk reverts to its default value.
Reverse Pyramiding: This technique allows trader to choose whether they want to bring the position size back default or decrement after a loss until default risk per trade is achieved. This method is very useful when attempting to "smoothen the equity curve"
Compounding Feature:
The strategy supports a compounding system, where position size is based on both initial equity and accumulated profits. This allows for exponential growth when the strategy is profitable.
Slippage and Commission
The slippage option is a crucial feature for any trading system, as it helps traders account for the difference between the expected price of a trade and the actual price at which it is executed. Slippage occurs due to rapid market movements, low liquidity, or execution delays, and it can either work in your favor or against you.
By incorporating the slippage option in our trading strategies, traders can input a specific amount of slippage they are willing to accept on their trades. This feature ensures that your strategy factors in real-world trading conditions, providing a more realistic performance assessment. For instance, in fast-moving markets or volatile assets, prices can change quickly, meaning the price you see when you place an order may not be the exact price you get.
With the slippage setting, you can simulate this effect within your strategy testing on TradingView, helping to avoid overly optimistic backtest results. The slippage option adds another layer of precision to risk management, ensuring that your trades reflect what happens in real-world scenarios more accurately.
Overall, having a slippage option in your trading system allows you to:
Adjust for market conditions: Account for price discrepancies caused by market volatility or execution delays.
Improve strategy accuracy: Create a more realistic backtest environment that simulates real trading results.
Manage risk better: Understand how slippage can affect your profits and adjust your strategy accordingly.
This feature is essential for any serious trader who wants to optimize their strategy for live market conditions, ensuring that you’re better prepared when real trades are placed.
Timeframes
The strategy is designed to work on various timeframes, but it's optimized for shorter timeframes suitable for scalping (e.g., 1 minute, 5 minutes).
Markets
This strategy is versatile and can be applied to various markets, including forex pairs, cryptocurrencies, and other liquid instruments available on TradingView.
Info Box:
A detailed Info Box is displayed on the chart, providing useful insights during both live trading and backtesting. It includes:
Trading session status (active or inactive).
Total trades taken today, including winners and losers.
Profit/Loss details, including today's performance and cumulative results.
Risk percentage per trade based on the dynamic risk management system.
Scaling and slippage settings status.
RSI and SuperTrend filter status.
The maximum number of trades allowed per day and the current drawdown percentage.
Backtesting Results
Extensive backtesting has been performed on various timeframes and markets. Here are some notable results:
30-Day Backtest (September 16, 2024 - October 11, 2024)
- Account Size: $10,000
- Risk per Trade: 1%
- Max Daily Loss: 4.5%
- Pyramiding: No
- Commission: No
- Slippage: Random 1-5 ticks
Results:
- Net Profit: 62.26%
- Total Closed Trades: 198
- Percentage Profitable: 80.81%
- Profit Factor: 2.018
- Max Drawdown: 6%
- Average Trade: $31.44
- Average Bars in Trade: 2
Long-Term Backtest (2017-2024)
- Total Trades: 45,971
- Net Profit: 2,114.42%
- Percent Profitable: 77.87%
- Profit Factor: 1.151
- Max Drawdown: 8.87%
- Average Trade: $4.60
These results demonstrate the strategy's potential for consistent profitability across different market conditions and timeframes. However, past performance does not guarantee future results, and it's essential to thoroughly test the strategy with your preferred settings before live trading.
Customization Options
- Risk percentage per trade
- Maximum daily loss percentage
- Use of compounding and position size normalization
- Enable/disable position scaling
- Adjustable take-profit levels and percentages
- Custom trading session times
- Visual enhancements (trend shading, candle colors, etc.)
- Informational display customization
Custom Settings for Optimum Results
The ScalpMonster strategy offers different sets of parameters optimized for various markets. Default settings are tailored for the German Index DAX40 (GER40), previously known as DAX30 (GER30) or DE30 DAX, on the one-minute timeframe.
DAX M1 Settings
- Session: 8:30 - 10:00
- Max Trades: 10 each (long and short)
- Risk-Reward Ratio: 1:0.5
- Look for Better Price: Yes
- 6-month Results (April 2024 to 10-10-2024):
- Win Rate: 75%
- Profit Factor: 1.39
- Profit: 238% (Compounded)
- Buy/Sell Stop Loss: 1 pip
- Sell/Buy Stop Loss: 0.1 pip
DAX M5 Settings
- Session: 9:30 - 11:00
- Max Trades: 2 each (long and short)
- Risk-Reward Ratio: 1:0.3 (no scaling out)
- Look for Better Price: No
- 6-month Results:
- Win Rate: 83%
- Profit Factor: 1.42
- Profit: 13%
NASDAQ (NAS) M1 Settings
- Session: 14:45 - 16:30
- Max Trades: 10 each (long and short)
- Risk-Reward Ratio: 1:0.5
- Look for Better Price: Yes
- 6-month Results:
- Win Rate: 74%
- Profit Factor: 1.33
- Profit: 112%
NASDAQ (NAS) H1 Settings replaces the Ultimate NASDAQ100 Strategy
- Session: 11:00- 18:00
- Max Trades: 5each (long and short)
- Risk-Reward Ratio: 1:0.5
- Look for Better Price: Yes
- 3 Year Results: Jan 2012 - 14 Oct 2024
- Win Rate: 74%
- Profit Factor: 1.407
- Profit: 136%
Strategy Strengths:
Backtesting & Live Trading: This strategy is designed to be a powerful tool for both backtesting and live trading, providing accurate signals that can help traders discover and refine new trading edges.
Risk Control: With multiple risk management techniques, including martingale, drawdown protection, and compounding, the strategy helps traders manage risk effectively while potentially increasing returns.
Customizable Settings: All key components, such as filters, risk settings, and trade management features, are customizable to fit different trading styles and market conditions.
Known Limitations
- The strategy relies on historical data for signal generation, which may not always predict future market behavior.
- Performance may vary in different market conditions and on different instruments.
- The strategy does not account for slippage or other real-world trading factors.
Extras:
You may copy this layout template so that the colour schemes and everything looks the same
www.tradingview.com
### The Scientific Method in Finding a Trading Edge
When it comes to finding a trading edge, the process is best approached using the scientific method. This method, widely recognized in the scientific community for its rigor and systematic approach, can also be applied to trading.
The goal is simple: to develop and test a hypothesis about a specific price pattern and determine whether it can consistently produce profitable results in the market. This disciplined approach enables traders to move beyond guesswork and rely on a structured framework to improve their trading strategies.
#### Step 1: Formulating a Hypothesis
The first step of the scientific method is to formulate a hypothesis. In trading terms, this means identifying a potential price pattern or market condition that you believe offers a statistical edge. This could be something as specific as a price moving above a particular moving average, a breakout from a certain range, or a candlestick pattern like a hammer. Your hypothesis might look something like this: “I assume that when X price pattern occurs, the price tends to move in Y direction, providing a potential trading edge.”
AiMS Algo Hypothesis: During the process of creating AIMS Algo we based our initial hypothesis on AIMS The Hunt and AIMS The Banana Pattern together with the concepts of Trading Chaos.
#### Step 2: Collecting Data
Once you’ve formed your hypothesis, the next step is to gather data. For a trader, this means collecting historical price data that includes instances of the pattern you’ve identified.
This step requires discipline, as relying on too little data could lead to unreliable conclusions. You want to analyze how often the pattern has appeared in the past and track the outcomes of those appearances. This stage also involves defining the conditions under which you’ll test the hypothesis, such as the timeframe (intraday, daily, weekly), market (stocks, forex, crypto), and other variables.
Thankfully we have Tradingview where we can get all kinds of data from all kinds of markets. Great!
#### Step 3: Testing the Hypothesis
Testing is where the hypothesis meets real scrutiny. This involves backtesting your trading strategy against historical data to see how often your price pattern leads to profitable outcomes. This is the equivalent of an experiment in scientific research. You want to ask questions like, “Does the pattern hold under different market conditions?” and “Is the edge statistically significant?” The goal is to determine whether your hypothesis is consistently profitable across various market conditions, or whether it only works under specific circumstances. The key here is to remain unbiased, letting the data tell the story instead of confirming your personal beliefs.
#### Step 4: Evaluating and Refining
If the test shows a positive outcome—that your price pattern has an edge—you move to the next step: refining the strategy. Even if your pattern shows profitability, there may be room for improvement. This is where filters come into play. Filters can help eliminate false signals or identify the most favorable conditions for the edge to perform. For instance, adding an RSI filter to avoid trades when the market is overbought or oversold can improve the overall performance. This phase involves tweaking the variables, such as adjusting timeframes or adding other technical indicators, to optimize the strategy.
#### Step 5: Continuous Testing and Validation
After refining, it’s essential to continue testing. Markets are constantly evolving, and a strategy that works today may not work tomorrow. Continuous testing is a way to ensure that your edge remains valid over time. This involves both backtesting and forward testing, where the strategy is applied in real-time market conditions to observe its effectiveness.
This is the reason why we built this and we share with the community so that we create a hive synergy. 10 brains are definitely better than 1.
#### Conclusion
The process of finding an edge in trading should be approached with the same rigor as any scientific inquiry. By applying the scientific method—forming a hypothesis, testing it, refining it, and continuously evaluating it—you can move from relying on gut feelings to creating a robust, data-driven strategy. A trading edge is not something you stumble upon but something you discover through a disciplined process.
Version History
- V.250b2 (Current): Two-session support, enhanced risk management, and visual improvements
- Previous versions:
- Version 62 Beta 5 - 14 / 10 /2024 : minor updates
- for more revisions and updates scroll further down to get chronological account.
Previous Version History Check
Note: This script was first shared here If you'd like to see the complete history of its evolution, version history and how all the changes were made, please click on this private script link.
## Disclaimer ##
This strategy is for educational and research purposes only. Past performance does not guarantee future results. Always back-test thoroughly and consider your risk tolerance before using any trading strategy with real funds. The creator of this strategy is not responsible for any financial losses incurred from its use.
Combined Strategy (VSA + RSI and Moving Average)//@version=6
strategy("Combined Strategy (VSA + RSI and Moving Average)", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=10)
// إعدادات مؤشر القوة النسبية (RSI)
rsiPeriod = input.int(14, title="RSI Period")
rsiOverbought = input.int(70, title="RSI Overbought Level")
rsiOversold = input.int(30, title="RSI Oversold Level")
rsi = ta.rsi(close, rsiPeriod)
// إعدادات المتوسط المتحرك
maPeriod = input.int(50, title="MA Period")
ma = ta.sma(close, maPeriod)
// إعدادات الربح المستهدف (Take Profit) وإيقاف الخسارة (Stop Loss)
takeProfitPct = input.float(2.0, title="Take Profit (%)") / 100
stopLossPct = input.float(1.0, title="Stop Loss (%)") / 100
// شروط استراتيجية VSA
sot_down = (math.abs(close - close ) < ((ta.sma(high - close, 5)) * 0.1)) and (volume > ta.sma(volume, 10)) and
(ta.mom(close, 3) > 0 or ta.mom(close, 4) > 0 or ta.mom(close, 5) > 0 or ta.mom(close, 6) > 0) ? 1 : 0
sot_up = (math.abs(close - close ) < ((ta.sma(high - close, 5)) * 0.1)) and (volume > ta.sma(volume, 10)) and
(ta.mom(close, 3) < 0 or ta.mom(close, 4) < 0 or ta.mom(close, 5) < 0 or ta.mom(close, 6) < 0) ? 1 : 0
// حساب مستوى الربح المستهدف وإيقاف الخسارة
longTakeProfit = close * (1 + takeProfitPct)
longStopLoss = close * (1 - stopLossPct)
shortTakeProfit = close * (1 - takeProfitPct)
shortStopLoss = close * (1 + stopLossPct)
// شروط الدخول والخروج
longCondition = (ta.crossover(rsi, rsiOversold) and close > ma and sot_up == 1)
shortCondition = (ta.crossunder(rsi, rsiOverbought) and close < ma and sot_down == 1)
// تنفيذ الصفقات مع تحديد Take Profit و Stop Loss
if longCondition
strategy.entry("Long", strategy.long, stop=longStopLoss, limit=longTakeProfit)
if shortCondition
strategy.entry("Short", strategy.short, stop=shortStopLoss, limit=shortTakeProfit)
// رسم الإشارات على الرسم البياني
plot(rsi, color=color.blue, title="RSI")
hline(rsiOverbought, "Overbought", color=color.red)
hline(rsiOversold, "Oversold", color=color.green)
plot(ma, color=color.orange, title="Moving Average")
// رسم إشارات SOT (مؤشر VSA)
plotshape(sot_down, style=shape.triangledown, color=color.red, size=size.auto)
plotshape(sot_up, style=shape.triangleup, color=color.green, size=size.auto, location=location.belowbar)
plotchar(sot_down, text="SOT", char="", color=color.red)
plotchar(sot_up, text="SA", char="", color=color.green, location=location.belowbar)
Momentum Range Break (MRB) Strategy RENDERUSD - JaysalgohutAbout The Momentum Range Break Strategy
Developed by JaysAlgoHut , the Momentum Range Break strategy is designed for short-term trading on time frames between 5 minutes to 30 minutes. It focuses on capturing price movements that break and close above the opening range, with key factors including strength and momentum, as identified by the Stochastic Momentum Oscillator and volatility expansion, indicated by the Bollinger Band Width Percentile (BBWP). These elements have yielded win rates of 65%–80% for numerous cryptocurrency trading pairs, making this strategy an appealing choice for traders looking to capitalize on high-probability setups.
The Edge
The MRB strategy capitalizes on the Opening Range Breakout (ORB) concept, paired with:
Fibonacci ranges for both upward and downward from the current price
Stochastic Momentum Oscillator to identify strength and momentum
Bollinger Band Width Percentile (BBWP) particularly for Entry Condition A setups
"The ORB strategy, popularized by Toby Crabel in his 1990 book “Day Trading with Short-Term Price Patterns and Opening Range Breakout,” forms the foundation of this blueprint. By combining it with modern indicators, the Momentum Range Break strategy aims to deliver actionable insights for short-term scalping opportunities.
Start your trading journey today with the confidence and precision this strategy offers. Break the range and ride the momentum! Visit jaysalgohut.com for details on this strategy.
Momentum Range Break (MRB) Strategy ETHUSD - JaysalgohutAbout The Momentum Range Break Strategy
Developed by JaysAlgoHut , the Momentum Range Break strategy is designed for short-term trading on time frames between 5 minutes to 30 minutes. It focuses on capturing price movements that break and close above the opening range, with key factors including strength and momentum, as identified by the Stochastic Momentum Oscillator and volatility expansion, indicated by the Bollinger Band Width Percentile (BBWP). These elements have yielded win rates of 65%–80% for numerous cryptocurrency trading pairs, making this strategy an appealing choice for traders looking to capitalize on high-probability setups.
The Edge
The MRB strategy capitalizes on the Opening Range Breakout (ORB) concept, paired with:
Fibonacci ranges for both upward and downward from the current price
Stochastic Momentum Oscillator to identify strength and momentum
Bollinger Band Width Percentile (BBWP) particularly for Entry Condition A setups
"The ORB strategy, popularized by Toby Crabel in his 1990 book “Day Trading with Short-Term Price Patterns and Opening Range Breakout,” forms the foundation of this blueprint. By combining it with modern indicators, the Momentum Range Break strategy aims to deliver actionable insights for short-term scalping opportunities.
Start your trading journey today with the confidence and precision this strategy offers. Break the range and ride the momentum! Visit jaysalgohut.com for details on this strategy.
Mean Reversion V-FThis strategy workings on high volatile stock or crypto assets
It using 5 dynamic band's to get in the long position.
In same time depends on the band increases the units of the asset to get in the next position.
The unit's of the asset can be adjusted. Make sure to adjust the unit for different asset.
The bands are determined of main SMA.
There is no stop loss.
Take profit is trialing - HMA or % or average price + take profit - note if you use % trailing back test is not realistic but is working on real time.
Deviations can be adjust depends on the asset volatility.
Momentum Range Break (MRB) Strategy - JaysalgohutAbout The Momentum Range Break Strategy
Developed by JaysAlgoHut , the Momentum Range Break strategy is designed for short-term trading on time frames between 5 minutes to 30 minutes. It focuses on capturing price movements that break and close above the opening range, with key factors including strength and momentum, as identified by the Stochastic Momentum Oscillator and volatility expansion, indicated by the Bollinger Band Width Percentile (BBWP). These elements have yielded win rates of 65%–80% for numerous cryptocurrency trading pairs, making this strategy an appealing choice for traders looking to capitalize on high-probability setups.
The Edge
The MRB strategy capitalizes on the Opening Range Breakout (ORB) concept, paired with:
Fibonacci ranges for both upward and downward from the current price
Stochastic Momentum Oscillator to identify strength and momentum
Bollinger Band Width Percentile (BBWP) particularly for Entry Condition A setups
"The ORB strategy, popularized by Toby Crabel in his 1990 book “Day Trading with Short-Term Price Patterns and Opening Range Breakout,” forms the foundation of this blueprint. By combining it with modern indicators, the Momentum Range Break strategy aims to deliver actionable insights for short-term scalping opportunities.
Start your trading journey today with the confidence and precision this strategy offers. Break the range and ride the momentum! Visit www.jaysalgohut.com for details on this strategy.
Momentum Range Break (MRB) Strategy - JaysalgohutAbout The Momentum Range Break Strategy
Developed by JaysAlgoHut , the Momentum Range Break strategy is designed for short-term trading on time frames between 5 minutes to 30 minutes. It focuses on capturing price movements that break and close above the opening range, with key factors including strength and momentum, as identified by the Stochastic Momentum Oscillator and volatility expansion, indicated by the Bollinger Band Width Percentile (BBWP). These elements have yielded win rates of 65%–80% for numerous cryptocurrency trading pairs, making this strategy an appealing choice for traders looking to capitalize on high-probability setups.
The Edge
The MRB strategy capitalizes on the Opening Range Breakout (ORB) concept, paired with:
Fibonacci ranges for both upward and downward from the current price
Stochastic Momentum Oscillator to identify strength and momentum
Bollinger Band Width Percentile (BBWP) particularly for Entry Condition A setups
"The ORB strategy, popularized by Toby Crabel in his 1990 book “Day Trading with Short-Term Price Patterns and Opening Range Breakout,” forms the foundation of this blueprint. By combining it with modern indicators, the Momentum Range Break strategy aims to deliver actionable insights for short-term scalping opportunities.
Start your trading journey today with the confidence and precision this strategy offers. Break the range and ride the momentum! Visit www.jaysalgohut.com for details on this strategy.
Sanjay RS&RSI Strategy V3 for nifty 15min, SL-1.3one of the best swing strategy of nifty futures, fix SL of 1.1%.
鳄鱼线 + MA 趋势捕捉器 1. 策略介绍
该策略是基于 Alligator 指标 和 移动平均线 (MA) 的组合,旨在捕捉趋势市场中的买卖机会。它结合了比尔·威廉姆斯的 Alligator 指标(三条平滑移动平均线:Jaw、Teeth、Lips)与指数移动平均线 (EMA),以此来识别趋势并决定入场点和出场点。
Alligator 指标通过三条不同周期的移动平均线代表市场的不同状态:
Jaw(下颌线):反映市场的长期趋势。
Teeth(牙齿线):反映市场的中期趋势。
Lips(嘴唇线):反映市场的短期趋势。
趋势线(Trendline) 使用200周期的指数移动平均线 (EMA),用于识别整体市场方向,帮助确认是否应当采取多头或空头仓位。
2. 执行原理
该策略会判断以下条件来做出交易决策:
做多(Long)条件:
当前价格(收盘价)高于200周期的 EMA 线(表示上升趋势)。
Alligator 的 Lips(嘴唇线)高于 Teeth(牙齿线),Teeth 高于 Jaw(下颌线),表明市场处于上升趋势的多头结构。
策略允许开多头单并且当前没有开仓。
平多单条件:当价格低于趋势线,且 Alligator 的嘴唇线位于牙齿线和下颌线下方,表明市场进入下行趋势,平掉多头单。
做空(Short)条件:
当前价格低于200周期的 EMA 线(表示下降趋势)。
Alligator 的 Lips(嘴唇线)低于 Teeth(牙齿线),Teeth 低于 Jaw(下颌线),表明市场处于下降趋势的空头结构。
策略允许开空头单并且当前没有开仓。
平空单条件:当价格重新高于趋势线,且 Alligator 的嘴唇线回到牙齿线上方,表明市场进入上升趋势,平掉空头单。
3. 重绘风险
Alligator 和 EMA 都是基于历史价格的移动平均线,因此没有明显的重绘风险。重绘一般发生在基于未来数据的指标上,而这个策略并没有使用未来数据,除非用户手动进行历史回测时有不当操作。
4. 优缺点分析
优点:
简单清晰:结合 Alligator 指标和趋势线,很容易识别市场的趋势,特别适合趋势市场。
使用两种不同的技术指标提供了趋势确认,避免了单一指标的误判。
自动处理开仓和平仓,不需要过多的手动干预。
缺点:
对震荡行情敏感:在横盘震荡时,可能频繁发出错误信号,导致高频的进出场,增加交易成本。
滞后性:由于 Alligator 和移动平均线本质上是滞后的指标,可能错失一些短期快速的趋势机会。
5. 适合的资产和周期
适合的资产:由于策略基于趋势判断,适合高波动性的资产,如 加密货币、股票市场中的高波动性个股、期货市场。
时间周期:策略使用了相对较长的移动平均线,因此更适合 较长周期 的操作,如 4小时或日线,在短周期内可能会因为噪音导致策略表现不佳。
6. 改进方向
增加过滤条件:可以加入震荡行情的过滤器,减少在震荡市场中的假信号。
动态调整参数:针对不同的市场环境,设置不同的周期或动态调整周期以适应不同的波动性。
TradeShields Strategy Builder🛡 WHAT IS TRADESHIELDS?
This no-code strategy builder is designed for traders on TradingView, offering an intuitive platform to create, backtest, and automate trading strategies. While identifying signals is often straightforward, the real challenge in trading lies in managing risk and knowing when not to trade. It equips users with advanced tools to address this challenge, promoting disciplined decision-making and structured trading practices.
This is not just a collection of indicators but a comprehensive toolkit that helps identify high-quality opportunities while placing risk management at the core of every strategy. By integrating customizable filters, robust controls, and automation capabilities, it empowers traders to align their strategies with their unique objectives and risk tolerance.
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🛡 THE GOAL: SHIELD YOUR STRATEGY
The mission is simple: to shield your strategy from bad trades . Whether you're a seasoned trader or just starting, the hardest part of trading isn’t finding signals—it’s avoiding trades that can harm your account. This framework prioritizes quality over quantity , helping filter out suboptimal setups and encouraging disciplined execution.
With tools to manage risk, avoid overtrading, and adapt to changing market conditions, it protects your strategy against impulsive decisions and market volatility.
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🛡 HOW TO USE IT
1. Apply Higher Timeframe Filters
Begin by analyzing broader market trends using tools like the 200 EMA, Ichimoku Cloud, or Supertrend on higher timeframes (e.g., daily or 4-hour charts).
- Example: Ensure the price is above the 200 EMA on the daily chart for long trades or below it for short trades.
2. Identify the Appropriate Entry Signal
Choose an entry signal that aligns with your model and the asset you're trading. Options include:
Supertrend changes for trend reversals.
Bollinger Band touches for mean-reversion trades.
RSI strength/weakness for overbought or oversold conditions.
Breakouts of key levels (e.g., daily or weekly highs/lows) for momentum trades.
MACD and TSI flips.
3. Determine Take-Profit and Stop-Loss Levels
Set clear exit strategies to protect your capital and lock in profits:
Use single, dual, or triple take-profit levels based on percentages or price levels.
Choose a stop-loss type, such as fixed percentage, ATR-based, or trailing stops.
Optionally, set breakeven adjustments after hitting your first take-profit target.
4. Apply Risk Management Filters
Incorporate risk controls to ensure disciplined execution:
Limit the number of trades per day, week, or month to avoid overtrading.
Use time-based filters to trade during specific sessions or custom windows.
Avoid trading around high-impact news events with region-specific filters.
5. Automate and Execute
Leverage the advanced automation features to streamline execution. Alerts are tailored specifically for each supported platform, ensuring seamless integration with tools like PineConnector, 3Commas, Zapier, and more.
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🛡 CORE FOCUS: RISK MANAGEMENT, AUTOMATION, AND DISCIPLINED TRADING
This builder emphasizes quality over quantity, encouraging traders to approach markets with structure and control. Its innovative tools for risk management and automation help optimize performance while reducing effort, fostering consistency and long-term success.
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🛡 KEY FEATURES
General Settings
Theme Customization : Light and dark themes for a tailored interface.
Timezone Adjustment : Align session times and news schedules with your local timezone.
Position Sizing : Define lot sizes to manage risk effectively.
Directional Control : Choose between long-only, short-only, or both directions for trading.
Time Filters
Day-of-Week Selection : Enable or disable trading on specific days.
Session-Based Trading : Restrict trades to major market sessions (Asia, London, New York) or custom windows.
Custom Time Windows : Precisely control the timeframes for trade execution.
Risk Management Tools
Trade Limits : Maximum trades per day, week, or month to avoid overtrading.
Automatic Trade Closures : End-of-session, end-of-day, or end-of-week options.
Duration-Based Filters : Close trades if take-profit isn’t reached within a set timeframe or if they remain unprofitable beyond a specific duration.
Stop-Loss and Take-Profit Options : Fixed percentage or ATR-based stop-losses, single/dual/triple take-profit levels, and breakeven stop adjustments.
Economic News Filters
Region-Specific Filters : Exclude trades around major news events in regions like the USA, UK, Europe, Asia, or Oceania.
News Avoidance Windows : Pause trades before and after high-impact events or automatically close trades ahead of scheduled news releases.
Higher Timeframe Filters
Multi-Timeframe Tools : Leverage EMAs, Supertrend, or Ichimoku Cloud on higher timeframes (Daily, 4-hour, etc.) for trend alignment.
Chart Timeframe Filters
Precision Filtering : Apply EMA or ADX-based conditions to refine trade setups on current chart timeframes.
Entry Signals
Customizable Options : Choose from signals like Supertrend, Bollinger Bands, RSI, MACD, Ichimoku Cloud, or EMA pullbacks.
Indicator Parameter Overrides : Fine-tune default settings for specific signals.
Exit Settings
Flexible Take-Profit Targets : Single, dual, or triple targets. Exit at significant levels like daily/weekly highs or lows.
Stop-Loss Variability : Fixed, ATR-based, or trailing stop-loss options.
Alerts and Automation
Third-Party Integrations : Seamlessly connect with platforms like PineConnector, 3Commas, Zapier, and Capitalise.ai.
Precision-Formatted Alerts : Alerts are tailored specifically for each platform, ensuring seamless execution. For example:
- PineConnector alerts include risk-per-trade parameters.
- 3Commas alerts contain bot-specific configurations.
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🛡 PUBLISHED CHART SETTINGS: 15m COMEX:GC1!
Time Filters : Trades are enabled from Tuesday to Friday, as Mondays often lack sufficient data coming off the weekend, and weekends are excluded due to market closures. Custom time sessions are turned off by default, allowing trades throughout the day.
Risk Filters : Risk is tightly controlled by limiting trades to a maximum of 2 per day and enabling a mechanism to close trades if they remain open too long and are unprofitable. Weekly trade closures ensure that no positions are carried over unnecessarily.
Economic News Filters : By default, trades are allowed during economic news periods, giving traders flexibility to decide how to handle volatility manually. It is recommended to enable these filters if you are creating strategies on lower timeframes.
Higher Timeframe Filters : The setup incorporates confluence from higher timeframe indicators. For example, the 200 EMA on the daily timeframe is used to establish trend direction, while the Ichimoku cloud on the 30-minute timeframe adds additional confirmation.
Entry Signals : The strategy triggers trades based on changes in the Supertrend indicator.
Exit Settings : Trades are configured to take partial profits at three levels (1%, 2%, and 3%) and use a fixed stop loss of 2%. Stops are moved to breakeven after reaching the first take profit level.
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🛡 WHY CHOOSE THIS STRATEGY BUILDER?
This tool transforms trading from reactive to proactive, focusing on risk management and automation as the foundation of every strategy. By helping users avoid unnecessary trades, implement robust controls, and automate execution, it fosters disciplined trading.
BTCUSDT 15 MINUTS EMA CROSSOVER STRATEGY @DHANRAJThis is a trend-following strategy using EMA crossovers for BTCUSDT on the 15-minute timeframe. It helps identify entry points based on short-term trends. The strategy uses a 1:5 risk-to-reward ratio with stop-loss and take-profit levels. Perfect for traders who want to capture trend movements in the cryptocurrency market
EMA & SMA Cross (Anjaneya)EMA & SMA Crossover Strategy
Description
The EMA & SMA Crossover Strategy is a reliable and intuitive trading tool designed to identify trend reversals and generate actionable buy and sell signals. This indicator utilizes two widely recognized moving averages, the Exponential Moving Average (EMA) and the Simple Moving Average (SMA), to analyze market trends and determine potential entry and exit points. Its simplicity and effectiveness make it suitable for traders across all experience levels.
Features
This indicator allows users to customize the lengths of both the EMA and SMA to adapt to various trading styles and market conditions. It plots the moving averages directly on the price chart, making it easy to visualize trends and crossovers. Signals for buy and sell opportunities are clearly displayed on the chart with labels, providing real-time insights. The indicator is compatible with any financial instrument or time frame, offering broad utility in trading stocks, forex, commodities, or cryptocurrencies.
How It Works
The EMA & SMA Crossover Strategy calculates and plots the EMA and SMA based on the user-defined settings. The EMA reacts more quickly to recent price changes, making it ideal for detecting short-term trends, while the SMA offers a more stable view of the overall market direction. When the EMA crosses above the SMA, it signals a potential upward trend, while a crossover below indicates a downward trend. These crossovers serve as the basis for generating buy and sell signals, which are visually marked on the chart for clarity.
Use Cases
This indicator is effective for identifying and following market trends, allowing traders to align their strategies with prevailing momentum. It also helps detect potential trend reversals early, enabling timely entries and exits. Additionally, the indicator is a valuable tool for backtesting, allowing traders to experiment with different EMA and SMA lengths to optimize their strategies for specific markets or time frames.
Instructions for Use
To use the EMA & SMA Crossover Strategy, add the indicator to your chart and customize the settings for the EMA and SMA lengths according to your trading approach. Monitor the plotted moving averages and watch for crossover signals to identify buy or sell opportunities. For best results, consider combining this indicator with other analytical tools, such as volume analysis or momentum oscillators, to strengthen your decision-making.
Disclaimer
The EMA & SMA Crossover Strategy is intended for educational and informational purposes only. It is not a guaranteed method for making profits and should not be used as a standalone trading strategy. Always perform thorough backtesting and apply proper risk management practices before trading in live markets. Trading involves significant risk, and past performance is not indicative of future results.
Quantuan Research - AlphaFree alpha for you folks. This is my Hanukkah/Christmas gift for you folks.
Enjoy, best regards;
- Quantuan Research
NexTrade
Overview of NexTrade: The Future of Crypto Trading
Introduction
NexTrade is a cutting-edge algorithmic trading platform designed to optimize cryptocurrency trading strategies. Developed by myself, a software engineer with a passion for quantitative development. Over the past year, I have focused on learning and applying quantitative techniques to the crypto space, ultimately crafting a platform that leverages advanced market analysis, automation, and robust risk management to help investors maximize returns while minimizing risk. NexTrade is engineered to help you capitalize on market movements in a fast-paced and highly competitive space, that is Cryptocurrency.
Key Features and Advantages
Sophisticated Market Analysis: NexTrade uses a comprehensive market analysis framework that examines historical trends, price movements, and market conditions across multiple cryptocurrency exchanges. The algorithm identifies trading opportunities by chart analysis on higher timeframes in order to follow trends, allowing it to execute trades at optimal moments.
Multi-Exchange Integration: NexTrade connects to multiple leading cryptocurrency exchanges, such as Binance, Kraken, and Coinbase Pro, to ensure access to diverse liquidity pools. This multi-exchange connectivity allows the platform to execute trades at the most favorable prices, optimizing profitability and minimizing slippage across various platforms. However, we suggest using the exchange with lowest fees possible.
Risk Management: NexTrade’s risk management features such as Stop Losses, ATR Trailing SL, and ADX chop indicator allows us to ensure we are effectively managing our risk.
Backtesting and Optimization: Before going live, NexTrade’s trading strategies undergo rigorous backtesting using historical market data. This enables users to see how strategies would have performed under various conditions, providing transparency and confidence in the platform’s potential for generating consistent returns. Ongoing optimization ensures that strategies evolve in response to market changes.
Real-Time Performance Monitoring: Users have access to detailed, real-time performance reports, tracking key metrics such as trades executed, profits, losses, and overall portfolio performance. This transparency allows investors to make informed decisions and monitor their investments closely at any time.
Market Opportunity
The cryptocurrency market continues to experience rapid growth, with trillions of dollars in trading volume annually. However, it is also notoriously volatile, creating both risk and reward opportunities for traders. To successfully navigate this market, investors need sophisticated tools that can automate the trading process and optimize decisions based on accurate market analysis.
NexTrade was developed to address this need. With its combination of data-driven market analysis, automated execution, and risk management, NexTrade is positioned to help investors gain an edge in a market that is often unpredictable and challenging. The platform offers a reliable, scalable solution to crypto trading, designed for both beginners and seasoned professionals.
Why Invest in NexTrade?
Scalable and Flexible: Whether you’re trading small amounts or large volumes, NexTrade can scale to accommodate your needs. The platform supports multiple exchanges, giving users the flexibility to diversify and grow their investments. Users can start with as low as $100!
Risk-Adjusted Returns: By focusing on risk management, NexTrade aims to deliver returns that are balanced with the level of risk the investor is willing to accept. The algorithm continuously adjusts trading strategies to align with market conditions, maximizing the potential for profits while minimizing the likelihood of significant losses.
24/7 Trading: The cryptocurrency market operates around the clock, and NexTrade is designed to take advantage of this. Its automated nature means that it can execute trades at any time, without the need for human intervention.
Conclusion
NexTrade offers a sophisticated yet accessible solution for investors looking to capitalize on the growth of the cryptocurrency market. With its focus on data-driven analysis, automated trade execution, and advanced risk management, NexTrade empowers investors to achieve optimal returns while managing risk effectively. Whether you are new to crypto or an experienced trader, NexTrade provides the tools needed to stay competitive and succeed in a fast-moving market.
By investing in NexTrade, you are gaining access to a proven algorithmic trading platform that has the potential to enhance your crypto trading strategy and deliver consistent results. The future of cryptocurrency trading is automated, risk-managed, and optimized—and NexTrade is leading the way.
If users wish the enable the chop detector on the bot, which uses ADX, they can turn it on in the settings after the strategu is added to the chart. By default, it is set to false.
Single Range Breakout1. Range Identification:
The bot monitors price action between the user-defined start time (Range Start Time) and end time (Range End Time) to establish a trading range.
It identifies the highest high (Range High) and lowest low (Range Low) within this time period.
2.Breakout Entry:
After the range is defined (once the time passes the Range End Time), the bot places pending orders:
A buy stop order at the Range High.
A sell stop order at the Range Low.
3. Risk Management:
The bot allows users to configure stop loss (SL) and take profit (TP) levels:
Stop Loss: Defined as a fixed number of points (Stop Loss in Points) from the entry price.
Take Profit: Set as a multiple of the range size (Take Profit Factor).
If the Use Risk Management option is enabled:
The bot calculates the position size dynamically based on the percentage of the equity the user is willing to risk (Risk Percentage).
If disabled, the position size is fixed (Fixed Lot Size).
4. Order Closing:
The bot automatically closes all open positions at the user-defined Close Orders Time to prevent overnight risk.
5. Visualization:
The script plots the Range High and Range Low levels on the chart, providing a clear visual representation of the breakout boundaries.
6. Execution:
If the breakout is triggered (price moves above Range High or below Range Low), the bot enters a trade in the respective direction:
Buy order: SL is below the entry price, TP is above the entry.
Sell order: SL is above the entry price, TP is below the entry.
MA 200 and Bollinger Bands StrategyHow to use this script
If the Bollinger is above the MA 200 line, then always do long trading, if the Bollinger is below the MA 200 line, then always do short trading. This script is just a tool to help you trade, it does not make you win 100%. Keep your financial management. DYOR
BTC Trendline Strategy - 1min - One DirectionBTC Trendline Strategy - 1min - One DirectionBTC Trendline Strategy - 1min - One DirectionBTC Trendline Strategy - 1min - One DirectionBTC Trendline Strategy - 1min - One DirectionBTC Trendline Strategy - 1min - One DirectionBTC Trendline Strategy - 1min - One Direction
EMA RSI Trend Reversal Ver.1Overview:
The EMA RSI Trend Reversal indicator combines the power of two well-known technical indicators—Exponential Moving Averages (EMAs) and the Relative Strength Index (RSI)—to identify potential trend reversal points in the market. The strategy looks for key crossovers between the fast and slow EMAs, and uses the RSI to confirm the strength of the trend. This combination helps to avoid false signals during sideways market conditions.
How It Works:
Buy Signal:
The Fast EMA (9) crosses above the Slow EMA (21), indicating a potential shift from a downtrend to an uptrend.
The RSI is above 50, confirming strong bullish momentum.
Visual Signal: A green arrow below the price bar and a Buy label are plotted on the chart.
Sell Signal:
The Fast EMA (9) crosses below the Slow EMA (21), indicating a potential shift from an uptrend to a downtrend.
The RSI is below 50, confirming weak or bearish momentum.
Visual Signal: A red arrow above the price bar and a Sell label are plotted on the chart.
Key Features:
EMA Crossovers: The Fast EMA crossing above the Slow EMA signals potential buying opportunities, while the Fast EMA crossing below the Slow EMA signals potential selling opportunities.
RSI Confirmation: The RSI helps confirm trend strength—values above 50 indicate bullish momentum, while values below 50 indicate bearish momentum.
Visual Cues: The strategy uses green arrows and red arrows along with Buy and Sell labels for clear visual signals of when to enter or exit trades.
Signal Interpretation:
Green Arrow / Buy Label: The Fast EMA (9) has crossed above the Slow EMA (21), and the RSI is above 50. This is a signal to buy or enter a long position.
Red Arrow / Sell Label: The Fast EMA (9) has crossed below the Slow EMA (21), and the RSI is below 50. This is a signal to sell or exit the long position.
Strategy Settings:
Fast EMA Length: Set to 9 (this determines how sensitive the fast EMA is to recent price movements).
Slow EMA Length: Set to 21 (this smooths out price movements to identify the broader trend).
RSI Length: Set to 14 (default setting to track momentum strength).
RSI Level: Set to 50 (used to confirm the strength of the trend—above 50 for buy signals, below 50 for sell signals).
Risk Management (Optional):
Use take profit and stop loss based on your preferred risk-to-reward ratio. For example, you can set a 2:1 risk-to-reward ratio (2x take profit for every 1x stop loss).
Backtesting and Optimization:
Backtest the strategy on TradingView by opening the Strategy Tester tab. This will allow you to see how the strategy would have performed on historical data.
Optimization: Adjust the EMA lengths, RSI period, and risk-to-reward settings based on your asset and time frame.
Limitations:
False Signals in Sideways Markets: Like any trend-following strategy, this indicator may generate false signals during periods of low volatility or sideways movement.
Not Suitable for All Market Conditions: This indicator performs best in trending markets. It may underperform in choppy or range-bound markets.
Strategy Example:
XRP/USD Example:
If you're trading XRP/USD and the Fast EMA (9) crosses above the Slow EMA (21), while the RSI is above 50, the indicator will signal a Buy.
Conversely, if the Fast EMA (9) crosses below the Slow EMA (21), and the RSI is below 50, the indicator will signal a Sell.
Bitcoin (BTC/USD):
On the BTC/USD chart, when the indicator shows a green arrow and a Buy label, it’s signaling a potential long entry. Similarly, a red arrow and Sell label indicate a short entry or exit from a previous long position.
Summary:
The EMA RSI Trend Reversal Indicator helps traders identify potential trend reversals with clear buy and sell signals based on the EMA crossovers and RSI confirmations. By using green arrows and red arrows, along with Buy and Sell labels, this strategy offers easy-to-understand visual signals for entering and exiting trades. Combine this with effective risk management and backtesting to optimize your trading performance.