Hyper MA Loop | QuantEdgeBIntroducing Hyper MA Loop by QuantEdgeB
Hyper MA Loop | QuantEdgeB is an advanced trend-following indicator that leverages a custom Hyper Moving Average (HyMA) and an innovative loop-based scoring system to assess trend strength and direction. This tool is designed to provide a dynamic perspective on market momentum, allowing traders to capture trends effectively while filtering out market noise.
Key Features:
1. Hyper Moving Average (HyMA) 🟣
- A weighted moving average that enhances trend responsiveness by applying a custom
weight function.
- Ensures smoother trend detection while maintaining reactivity to price changes.
2. Loop-Based Trend Scoring 🔄
- Utilizes a for-loop function to analyze the movement of HyMA over a specified period.
- Compares current values to past values, generating a cumulative score indicating bullish or
bearish momentum.
- Dynamic thresholds adjust to market conditions for better trend filtering.
3. Threshold-Based Signal System ✅❌
- Long Signals: Triggered when the loop score exceeds the long threshold.
- Short Signals: Activated when the score falls below the short threshold.
- Avoids false signals by requiring sustained strength before confirming a trend.
4. Customizable Visualization & Colors 🎨
- Multiple color modes (Default, Solar, Warm, Cool, Classic) for tailored aesthetics.
- Extra plot options enhance visualization of market structure and volatility.
________
How It Works:
- HyMA Calculation : A unique moving average with a specialized weighting function to
smooth out price action.
- Loop Function : Iterates over past HyMA values, assessing whether price is consistently
higher or lower.
- Threshold Comparison : The loop score is compared against pre-set thresholds to
determine bullish or bearish conditions.
- Signal Generation :
1. Bullish (🔵): If the score crosses the long threshold
2. Bearish (🔴): If the score drops below the short threshold.
- Plotting & Styling : Dynamic candles and gradient overlays provide an intuitive
visualization of rend shifts.
________
Use Cases:
✅ Ideal for trend-following traders looking for solid trends confirmation.
✅ Helps filter out choppy market conditions by adjusting sensitivity dynamically.
✅ Works well with other indicators (e.g., ADX, volume-based filters) for added confirmation.
✅ Suitable for both short-term and long-term trend analysis.
________
Customization Options:
- Adjustable HyMA Length: Modify the responsiveness of the moving average. Default se to 2.
- For-Loop Parameters: Fine-tune how far back the trend analysis should consider. Default se to Start = 1 , End = -1.
- Thresholds for Long & Short: Control signal sensitivity to market fluctuations. Default set to Long = 40, Short = 8.
- Color Modes & Extra Plots: Personalize visualization for better clarity.
________
Conclusion:
The Hyper MA Loop | QuantEdgeB is a powerful, adaptive indicator that combines custom moving averages with loop-based trend analysis to deliver accurate, visually intuitive market signals. Whether you're looking to ride strong trends or filter out weak setups, this tool provides the precision and flexibility needed for effective decision-making. 🚀📈
🔹 Disclaimer: Past performance is not indicative of future results. No trading indicator can guarantee success in financial markets.
🔹 Strategic Consideration: As always, backtesting and strategic adjustments are essential to fully optimize this indicator for real-world trading. Traders should consider risk management practices and adapt settings to their specific market conditions and trading style.
Moving Averages
John Bob-Trading-BotDeveloped by Ayebale John Bob with the help of his bestie, this innovative strategy combines advanced Smart Money Concepts with practical risk management tools to help traders identify and capitalize on key market moves.
Key Features:
Smart Money Concepts & Fair Value Gaps (FVG):
The strategy monitors price action for fair value gaps, which are visualized as extremely faint horizontal lines on the chart. These FVGs signal potential areas where institutional traders might have entered or exited positions.
Dynamic Entry Signals:
Buy signals are triggered when the price crosses above the 50-bar lowest low or when a bullish FVG is detected. Conversely, sell signals are generated when the price falls below the 50-bar highest high or a bearish FVG is identified. Each signal is visually marked on the chart with clear buy (green) and sell (red) labels.
Multi-Level Order Execution:
Once an entry signal occurs, the strategy places five separate orders, each with its own take-profit (TP) level. The TP levels are calculated dynamically using the Average True Range (ATR) and a set of predefined multipliers. This allows traders to scale out of positions as the market moves favorably.
Dynamic Risk Management:
A stop-loss is automatically set at a distance determined by the ATR, ensuring that risk is managed in accordance with current market volatility.
Real-Time Trade Information Table:
In the bottom-right corner of the chart, a trade information table displays essential details about the current trade:
Side: Displays "BUY NOW" (with a dark green background) for long entries or "SELL NOW" (with a dark red background) for short entries.
Entry Price & Stop-Loss: Shows the entry price (highlighted in green) and the corresponding stop-loss level (highlighted in red).
Take-Profit Levels: Lists the five TP levels, each of which turns green once the market price reaches that target.
Timer: A live timer in minutes counts from the moment the current trade trigger started, helping traders track the duration of their active trades.
Visual Progress Bar:
A histogram-style progress bar is plotted on the chart, visually representing the percentage gain (or loss) relative to the entry price.
This strategy was meticulously designed to incorporate both technical analysis and smart risk management, offering a robust trading solution that adapts to changing market conditions. Whether you're a seasoned trader or just starting out, the AyebaleJohnBob Trading Bot equips you with the tools and visual cues needed to make well-informed trading decisions. Enjoy a seamless blend of strategy and style—crafted with passion by Ayebale John Bob and his bestie!
Wagmi Lab- Bitcoin H4 Buy Sell Signals This indicator, designed primarily for Bitcoin on the H4 timeframe, is a versatile tool that can also be applied to other assets and timeframes by adjusting its parameters. It combines Exponential Moving Averages (EMAs), MACD (Moving Average Convergence Divergence), and a crossover filtering mechanism to generate reliable buy and sell signals. The indicator is ideal for traders looking to identify trend direction and potential entry/exit points with added precision.
Key Features:
Customizable EMAs and MACD:
Fast EMA (default: 12): Tracks short-term price momentum.
Slow EMA (default: 26): Tracks long-term price momentum.
Signal SMA (default: 9): Smooths the MACD line to generate the signal line.
MACD Crossover Signals:
The indicator calculates the MACD line and signal line to identify potential buy and sell opportunities.
Buy signals are generated when the MACD line crosses above the signal line, indicating bullish momentum.
Sell signals are generated when the MACD line crosses below the signal line, indicating bearish momentum.
Crossover Strength Filter:
A minimum crossover distance percentage (default: 0.1%) ensures that only significant crossovers are considered, reducing false signals.
This filter helps traders avoid weak or insignificant crossovers that may not lead to strong price movements.
Trend Visualization:
The indicator highlights the trend direction by filling the area between the fast and slow EMAs with colors:
Green: Uptrend (MACD > Signal Line).
Red: Downtrend (MACD < Signal Line).
Buy/Sell Signal Markers:
Buy signals are marked with green circles below the price bars.
Sell signals are marked with red circles above the price bars.
These markers provide clear visual cues for potential entry and exit points.
Adaptable to Other Timeframes and Assets:
While optimized for the H4 timeframe, the indicator can be adjusted for other timeframes (e.g., M15, H1, D1) by modifying the EMA and SMA settings.
It can also be applied to other assets, such as stocks, forex, or commodities, by tweaking the parameters to suit the asset's volatility and characteristics.
How to Use:
Identify Trends:
Use the colored areas (green for uptrend, red for downtrend) to determine the overall market direction.
Wait for Confirmation:
Look for buy or sell signals (green or red circles) that align with the trend direction.
Ensure the crossover meets the minimum distance requirement to filter out weak signals.
Enter and Exit Trades:
Enter a long position when a buy signal appears during an uptrend.
Enter a short position or exit a long position when a sell signal appears during a downtrend.
Adjust Settings for Other Timeframes/Assets:
Experiment with the EMA and SMA periods to optimize the indicator for different timeframes or assets.
Why Use This Indicator?
Precision: The crossover strength filter reduces noise and false signals.
Versatility: Works across multiple timeframes and assets with customizable settings.
Visual Clarity: Clear trend visualization and signal markers make it easy to interpret.
This indicator is a powerful tool for traders seeking to capitalize on Bitcoin's volatility or other assets' price movements, providing a structured approach to identifying trends and potential trading opportunities.
Average Price in Time PeriodsThis Pine Script calculates and displays average prices for two specific time ranges during a trading day: from 09:00 to 22:30 and from 22:30 to 09:00. It updates the average prices by summing the closing prices in each time frame and then plots them as green and red lines, respectively. The script also displays black lines outside these specific time ranges to prevent "gaps" in the chart during off-peak hours. The displayed lines are dynamically adjusted based on the current time, with the green line for 09:00-22:30 and the red line for 22:30-09:00.
Smoothed Candle Averages- NovaTheMachineThis script utilizes a series of moving averages that the user is able to change as they see fit for their own use.
The averages plotted for the first 2 waves are the High-Low rays of the selected period of time with the chosen moving average style.
The Bias is the Heikin Ashi High-Low ray plotted over the chosen time period, while the Secondary Bias is a higher Timeframe Bias for the same period of time on a selected higher timeframe.
The visuals for each ray are able to be changed to either; lines, solid wave, or dynamic wave.
The Dynamic waves will change color according to the total dissection and utilize the Min-Max range selected as a weight for the strength of the trend. Thus providing an at-a-glance overview of the price relative to trend.
The key objective with this script is to gauge the longer term trend with the current price action, to establish patterns and determine strength of moves both away from and towards the moving average/bias.
When both waves are trending with the Bias, it can be reasoned that there is a strong trend established, when waves and Bias are mixed or trending sideways it can be reasoned there is a range forming or potential for a direction change. When price has broken the waves and biases we can reasonably assume that a new trend has been formed, using the waves and biases again to determine the strength and length of the trend.
The Table will display whether the current price is above or below each wave, and whether the price is continuing or retracing. The Signals plotted are used to help identify when price has broken a wave more swiftly.
WAGMI LAB Trend Reversal Indicator HMA-Kahlman (m15)WAGMI HMA-Kahlman Trend Reversal Indicator
This indicator combines the Hull Moving Average (HMA) with the Kahlman filter to provide a dynamic trend reversal signal, perfect for volatile assets like Bitcoin. The strategy works particularly well on lower timeframes, making it ideal for intraday trading and fast-moving markets.
Key Features:
Trend Detection: It uses a blend of HMA and Kahlman filters to detect trend reversals, providing more accurate and timely signals.
Volatility Adaptability: Designed with volatile assets like Bitcoin in mind, this indicator adapts to rapid price movements, offering smoother trend detection during high volatility.
Easy Visualization: Buy (B) and Sell (S) signals are clearly marked with labels, helping traders spot trend shifts quickly and accurately.
Trendlines Module: The indicator plots trendlines based on pivot points, highlighting important support and resistance levels. This helps traders understand the market structure and identify potential breakout or breakdown zones.
Customizable: Adjust the HMA and Kahlman parameters to fit different assets or trading styles, making it flexible for various market conditions.
Usage Tips:
Best Timeframes: The indicator performs exceptionally well on lower timeframes (such as 15-minute to 1-hour charts), making it ideal for scalping and short-term trading strategies.
Ideal for Volatile Assets: This strategy is perfect for highly volatile assets like Bitcoin, but can also be applied to other cryptocurrencies and traditional markets with high price fluctuations.
Signal Confirmation: Use the trend signals (green for uptrend, red for downtrend) along with the buy/sell labels to help you confirm potential entries and exits. It's also recommended to combine the signals with other technical tools like volume analysis or RSI for enhanced confirmation.
Trendline Analysis: The plotted trendlines provide additional visual context to identify key market zones, supporting your trading decisions with a clear view of ongoing trends and possible reversal areas.
Risk Management: As with any strategy, always consider proper risk management techniques, such as stop-loss and take-profit levels, to protect against unforeseen market moves.
Radial Oscillation Indicator – Overbought & Oversold ZonesThe Radial Oscillation Indicator is designed to analyze price movements based on a circular approach, mapping price fluctuations into angles (0° to 360°). This transformation allows for intuitive visualization of overbought and oversold zones, making it easier to detect potential reversals.
🔹 Key Features:
✔ Converts price movement into degrees (0° to 360°)
✔ Highlights overbought (≥315°) and oversold (≤45°) areas
✔ Uses background shading for clear trend identification
✔ Includes buy (↑) and sell (↓) arrows for easy signal spotting
✔ Provides smoother oscillation with adjustable period and smoothing factor
🛠 How to Use:
Look for buy signals when the degree is in the oversold zone and crosses above zero.
Look for sell signals when the degree is in the overbought zone and crosses below zero.
Adjust the period and smoothing factor to fine-tune sensitivity.
This indicator is ideal for traders looking for a unique and effective way to visualize price momentum.
EMA Study Script for Price Action Traders, v2JR_EMA Research Tool Documentation
Version 2 Enhancements
Version 2 of the JR_EMA Research Tool introduces several powerful features that make it particularly valuable for studying price action around Exponential Moving Averages (EMAs). The key improvements focus on tracking and analyzing price-EMA interactions:
1. Cross Detection and Counting
- Implements flags for crossing bars that instantly identify when price crosses above or below the EMA
- Maintains running counts of closes above and below the EMA
- This feature helps students understand the persistence of trends and the frequency of EMA interactions
2. Bar Number Tracking
- Records the specific bar number when EMA crosses occur
- Stores the previous crossing bar number for reference
- Enables precise measurement of time between crosses, helping identify typical trend durations
3. Variable Reset Management
- Implements sophisticated reset logic for all counting variables
- Ensures accuracy when analyzing multiple trading sessions
- Critical for maintaining clean data when studying patterns across different timeframes
4. Cross Direction Tracking
- Monitors the direction of the last EMA cross
- Helps students identify the current trend context
- Essential for understanding trend continuation vs reversal scenarios
Educational Applications
Price-EMA Relationship Studies
The tool provides multiple ways to study how price interacts with EMAs:
1. Visual Analysis
- Customizable EMA bands show typical price deviation ranges
- Color-coded fills help identify "normal" vs "extreme" price movements
- Three different band calculation methods offer varying perspectives on price volatility
2. Quantitative Analysis
- Real-time tracking of closes above/below EMA
- Running totals help identify persistent trends
- Cross counting helps understand typical trend duration
Research Configurations
EMA Configuration
- Adjustable EMA period for studying different trend timeframes
- Customizable EMA color for visual clarity
- Ideal for comparing different EMA periods' effectiveness
Bands Configuration
Three distinct calculation methods:
1. Full Average Bar Range (ABR)
- Uses the entire range of price movement
- Best for studying overall volatility
2. Body Average Bar Range
- Focuses on the body of the candle
- Excellent for studying conviction in price moves
3. Standard Deviation
- Traditional statistical approach
- Useful for comparing to other technical studies
Signal Configuration
- Optional signal plotting for entry/exit studies
- Helps identify potential trading opportunities
- Useful for backtesting strategy ideas
Using the Tool for Study
Basic Analysis Steps
1. Start with the default 20-period EMA
2. Observe how price interacts with the EMA line
3. Monitor the data window for quantitative insights
4. Use band settings to understand normal price behavior
Advanced Analysis
1. Pattern Recognition
- Use the cross counting system to identify typical pattern lengths
- Study the relationship between cross frequency and trend strength
- Compare different timeframes for fractal analysis
2. Volatility Studies
- Compare different band calculation methods
- Identify market regimes through band width changes
- Study the relationship between volatility and trend persistence
3. Trend Analysis
- Use the closing price count system to measure trend strength
- Study the relationship between trend duration and subsequent reversals
- Compare different EMA periods for optimal trend following
Best Practices for Research
1. Systematic Approach
- Start with longer timeframes and work down
- Document observations about price behavior in different market conditions
- Compare results across multiple symbols and timeframes
2. Data Collection
- Use the data window to record significant events
- Track the number of bars between crosses
- Note market conditions when signals appear
3. Optimization Studies
- Test different EMA periods for your market
- Compare band calculation methods for your trading style
- Document which settings work best in different market conditions
Technical Implementation Notes
This tool is particularly valuable for educational purposes because it combines visual and quantitative analysis in a single interface, allowing students to develop both intuitive and analytical understanding of price-EMA relationships.
Smart Buy/Sell Indicator with Trend & ATR FilterDescription:
This indicator uses a moving average crossover strategy combined with ATR-based stop loss and take profit levels.
✅ Features:
Improvements:
Trend Filter (200-period EMA)
-Only long trades when price is above the 200 EMA
-Only short trades when price is below the 200 EMA
ATR-Based Volatility Filter
-Trades are only taken when the ATR is above a threshold, indicating strong market conditions.
Stop Loss & Take Profit
-Stop loss and take profit dynamically adjust based on ATR x Multiplier, instead of fixed percentages.
-Works best on trending markets (recommended for Forex, Crypto, and Stocks).
🛠 How to Use:
Enter a long trade when a green Buy signal appears.
Enter a short trade when a red Sell signal appears.
Adjust Stop Loss % and Take Profit % based on your risk tolerance.
Volume Pressure TrackerThis is just like the top 6 trend indictor (NASDAQ 100 Top 6 Trend Indicator) but instead of calculating price action this indicator averages the volume of your ticker symbols. You can also just use 1 ticker symbol. If you're trading an Index fund like NASDAQ or RUSSELL you should use all 6 ticker inputs. If you are trading BTCUSDT for example just use that one ticker input.
Not sure how well this works.
Let me know in the comments
Lemon Squeazy out!!!
EMA Crossover + RSI StrategyCheck trend of 20 EMA, 50 EMA and 100 EMA and if price crosses above all 3 and trend is up, buy. If RSI goes above 70 or price crosses below any of the 3 EMAs, sell.
EMA MTF Crossover [Two]R = Reverse signal in Weekly
C = Continue signal in Daily
Two = Early signal in 1H
Indicator for myself but i'm public FREE for all friend using
Trailing Stop with 21 EMA and ATRTrailing Stop with 21 EMA and ATR
This indicator helps traders to dynamically track their trailing stops based on market volatility, ensuring better risk management and optimized exit points.
This Pine Script indicator for TradingView calculates and plots trailing stops based on the 21-period Exponential Moving Average (EMA) and the Average True Range (ATR). The script uses an ATR multiplier to adjust the trailing stops dynamically.
Key Features:
Trailing Stops Calculation:
Long Trailing Stop: Calculated as EMA21 - (ATR * ATR Multiplier)
Short Trailing Stop: Calculated as EMA21 + (ATR * ATR Multiplier)
Customization Options:
Visibility: Toggle the visibility of long and short trailing stops.
Color: Customize the color of the trailing stops for both long and short positions.
Line Width: Adjust the width of the trailing stop lines.
Inputs:
EMA Length: Set the length for the Exponential Moving Average (default is 21).
ATR Length: Set the length for the Average True Range (default is 14).
ATR Multiplier: Set the multiplier for the ATR to adjust the trailing stop distance (default is 1.0).
Enhanced Buy/Sell Signals with Confirmation(Bobbin Thomas)Usage Notes:
Buy Signals (Green Triangles) appear when:
Fast EMA crosses above Slow EMA
RSI crosses back above 30 (oversold recovery)
MACD line crosses above signal line
Price is above both EMAs (uptrend confirmation)
Sell Signals (Red Triangles) appear when:
Fast EMA crosses below Slow EMA
RSI crosses below 70 (overbought rejection)
MACD line crosses below signal line
Price is below both EMAs (downtrend confirmation)
This conservative approach helps filter out false signals by requiring alignment between trend direction (EMAs), momentum (MACD), and market strength (RSI). For best results, use on daily or weekly charts and combine with fundamental analysis.
Simplified MA Crossover Strategy with toggle RSI/ATR options1. Strategy Overview
MA Crossover Logic: The strategy uses two simple moving averages (short and long) to generate buy/sell signals.
Buy Signal: When the short MA crosses above the long MA.
Sell Signal: When the short MA crosses below the long MA.
Filters: The strategy includes optional RSI and ATR filters to refine entry conditions.
Risk Management: Includes stop-loss, take-profit, and position sizing based on a percentage of equity.
2. Inputs
MA Lengths:
shortLength: Length of the short MA (default: 9).
longLength: Length of the long MA (default: 21).
RSI Filter:
enableRSI: Toggle to enable/disable the RSI filter.
rsiLength: RSI calculation period (default: 14).
rsiOverbought: Overbought threshold (default: 70).
rsiOversold: Oversold threshold (default: 30).
ATR Filter:
enableATR: Toggle to enable/disable the ATR filter.
atrLength: ATR calculation period (default: 14).
minATR: Minimum ATR threshold for trade entry (default: 0.005).
Risk Management:
stopLossPerc: Stop-loss percentage (default: 0.5%).
riskRewardRatio: Risk-reward ratio for take-profit calculation (default: 2).
riskPercentage: Percentage of equity to risk per trade (default: 2%).
3. Indicators
Moving Averages:
shortMA: Short-term simple moving average.
longMA: Long-term simple moving average.
RSI: Relative Strength Index for filtering overbought/oversold conditions.
ATR: Average True Range for volatility filtering.
4. Trade Conditions
Long Condition:
Short MA crosses above the long MA.
RSI is below the overbought level (if RSI filter is enabled).
ATR is above the minimum threshold (if ATR filter is enabled).
Short Condition:
Short MA crosses below the long MA.
RSI is above the oversold level (if RSI filter is enabled).
ATR is above the minimum threshold (if ATR filter is enabled).
5. Risk Management
Position Sizing:
positionSize: Calculated based on the percentage of equity to risk and the stop-loss level.
Take-Profit and Stop-Loss:
takeProfitLevel: Calculated using the risk-reward ratio.
stopLossLevel: Calculated using the stop-loss percentage.
6. Trade Execution
Long Entry:
Triggers when the long condition is met.
Sets a take-profit and stop-loss level.
Short Entry:
Triggers when the short condition is met.
Sets a take-profit and stop-loss level.
7. Plotting
Moving Averages:
Short MA (blue) and Long MA (red) are plotted on the chart.
RSI Levels:
Overbought (red) and oversold (green) levels are plotted as horizontal lines.
ATR:
ATR is plotted in orange.
Trade Signals:
Buy signals are marked with a green "BUY" label below the bar.
Sell signals are marked with a red "SELL" label above the bar.
8. Customization
You can adjust the input parameters (e.g., MA lengths, RSI/ATR settings, risk management values) to suit your trading preferences.
Disable/enable filters (RSI and ATR) using the enableRSI and enableATR inputs.
9. Notes
This strategy is designed for educational purposes and should be thoroughly tested before use in live trading.
Consider optimizing the parameters (e.g., MA lengths, RSI/ATR thresholds) for specific markets or timeframes.
Ensure proper backtesting and forward testing to evaluate performance under different market conditions.
Multi-EMA Trend Analyzer (7/99/144/169) Multi EMA Trend Analysis Tool | Suitable for Stocks/Cryptocurrencies/Forex
This indicator identifies the trend intensity of different time periods through four key EMA lines (customizable parameters):
-Short term EMA (default 7 cycles): Capture recent price momentum
-Mid term EMA (default 99/144 cycle): Identify mid-term trends
-Long term EMA (default 169 cycles): Confirm long-term direction
Feature Highlights:
1. Real time price fluctuation tags
2. Dynamic EMA numerical legend
3. Fully customizable cycles and colors
4. Support all trading varieties and time frames
Usage suggestion:
-Golden Cross/Dead Cross: Observing the Relationship between Short term EMA and Long term EMA
-Deviation between price and EMA: Pay attention to pullback risk when price deviates from long-term EMA
-Multi EMA arrangement: Horizontal arrangement of moving averages can confirm trend strength
Risk Warning: It is recommended to use a combination of trading volume and other indicators
5SMA Trend filter w/optional 10,20,50,200 moving averagesTrend filter indicator to determine ideal price action for long or short trades.
Cloud attached between price and 5SMA.
Using the 5SMA direction and relativity to price, two signals to help filter out head fakes.
If price > 5SMA and SMA pointing up then green cloud.
If price < 5SMA and SMA point down then red cloud.
If price > 5SMA and SMA pointing down or price < 5SMA and 5SMA pointing up then
Optional 10,20,50,200 simple moving averages.
Compatible with multiple timeframes.
EMA-based Trading Signal by GideonM for Indian MarketsAnother indicator for Indian Markets. Works best 5 mins on Nifty, Bank Nifty, Sensex.
How It Works:
Buy Signal: When the short-term EMA crosses above the long-term EMA and the momentum is positive, it suggests a bullish market, and a buy signal is generated.
Sell Signal: When the short-term EMA crosses below the long-term EMA and the momentum is negative, it suggests a bearish market, and a sell signal is generated.
You’ll see the EMA-based trading signals generated in real-time.
Adjustments:
You can adjust the window sizes for the short and long EMAs to fit your strategy.
You can also modify the momentum window to define how far back the momentum calculation should consider.
Experiment with the logic (e.g., adding more conditions) to fine-tune the signals.
This indicator should give you a responsive indicator that reacts quickly to price movements by using EMA crossovers and momentum as predictive features.
Good luck!!
EMA_RSI_VOL_KKSThis indicator combines RSI, volume analysis, and moving average crossovers to generate precise buy and sell signals. It ensures buy signals occur only when RSI crosses above its 14 EMA below the 45 RSI zone, confirming a strong upward momentum. Conversely, sell signals are triggered only when RSI crosses below its 14 EMA above the 55 RSI zone, indicating a potential downturn. Additionally, volume analysis helps validate the strength of these signals, reducing false entries. By integrating moving averages, this script enhances trend confirmation, making it a powerful tool for traders.
High-Probability IndicatorExplanation of the Code
Trend Filter (EMA):
A 50-period Exponential Moving Average (EMA) is used to determine the overall trend.
trendUp is true when the price is above the EMA.
trendDown is true when the price is below the EMA.
Momentum Filter (RSI):
A 14-period RSI is used to identify overbought and oversold conditions.
oversold is true when RSI ≤ 30.
overbought is true when RSI ≥ 70.
Volatility Filter (ATR):
A 14-period Average True Range (ATR) is used to measure volatility.
ATR is multiplied by a user-defined multiplier (default: 2.0) to set a volatility threshold.
Ensures trades are only taken during periods of sufficient volatility.
Entry Conditions:
Long Entry: Price is above the EMA (uptrend), RSI is oversold, and the candle range exceeds the ATR threshold.
Short Entry: Price is below the EMA (downtrend), RSI is overbought, and the candle range exceeds the ATR threshold.
Exit Conditions:
Take Profit: A fixed percentage above/below the entry price.
Stop Loss: A fixed percentage below/above the entry price.
Visualization:
The EMA is plotted on the chart.
Background colors highlight uptrends and downtrends.
Buy and sell signals are displayed as labels on the chart.
Alerts:
Alerts are triggered for buy and sell signals.
How to Use the Indicator
Trend Filter:
Only take trades in the direction of the trend (e.g., long in an uptrend, short in a downtrend).
Momentum Filter:
Look for oversold conditions in an uptrend for long entries.
Look for overbought conditions in a downtrend for short entries.
Volatility Filter:
Ensure the candle range exceeds the ATR threshold to avoid low-volatility trades.
Risk Management:
Use the built-in take profit and stop loss levels to manage risk.
Optimization Tips
Backtesting:
Test the indicator on multiple timeframes and assets to evaluate its performance.
Adjust the input parameters (e.g., EMA length, RSI length, ATR multiplier) to optimize for specific markets.
Combination with Other Strategies:
Add additional filters, such as volume analysis or support/resistance levels, to improve accuracy.
Risk Management:
Use proper position sizing and risk-reward ratios to maximize profitability.
Disclaimer
No indicator can guarantee an 85% win ratio due to the inherent unpredictability of financial markets. This script is provided for educational purposes only. Always conduct thorough backtesting and paper trading before using any strategy in live trading.
Let me know if you need further assistance or enhancements!
AI Bollinger Bands Strategy with SL, TP, and Bars Till CloseThis auto trader uses Bollinger Bands (with adjustable length and deviation) and an optional EMA filter to trigger trades. It enters short trades when the prior candle closes above the upper band and then reverses, and long trades when the prior candle is below the lower band and then turns bullish. Risk is managed via:
Trailing stops activated when price crosses the middle band.
Predefined stop loss and take profit levels.
An option to close trades after a set number of bars.
Additionally, you can toggle the visual display of Bollinger Bands and EMA on the chart.
Daily MA Ribbon + MACD Crossover with Buy/Sell Signals - MaheshAll integrated strategy with MACD and MA for intraday trading
Gold Multi-MA Arsen Strategy IndicatorGold Multi-MA Strategy Indicator
This indicator is designed to perform comprehensive technical analysis on gold prices by combining multiple moving averages (Simple, Exponential, and Double Exponential) with key oscillators and volatility measures. Its main functions include:
Trend Identification:
It computes several moving averages (including a 50-day, 200-day, 21-day, and 63-day SMA, along with a 5-period EMA and a 50-period DEMA) to help identify short-term and long-term trends as well as potential crossovers that signal changes in momentum.
Volatility Assessment:
The indicator uses Bollinger Bands to gauge price volatility. By plotting upper and lower bands based on a moving average and standard deviation, it visually represents periods of high and low volatility.
Momentum Analysis:
The Relative Strength Index (RSI) is included to measure momentum, highlighting overbought and oversold conditions. This assists in validating signals and timing entries and exits.
Visual Cues and Alerts:
It provides visual cues, such as background highlights when the RSI is in overbought or oversold territory, and includes alert conditions for key events like moving average crossovers and RSI exits from extreme conditions.
Strategy Implementation:
Additionally, the indicator has been adapted to a strategy format, enabling backtesting. It incorporates basic entry and exit rules based on moving average crossovers combined with RSI conditions, allowing traders to test and refine their trading hypotheses.
