Fibonacci Sequence Moving Average PlotsThis indicator plots Simple Moving Averages (SMA) and Exponential Moving Averages (EMA) based on key Fibonacci sequence numbers. You can easily toggle individual SMAs and EMAs to customize your chart.
Key Features:
Customizable Plots: Select from SMA and EMA values like 5, 8, 13, 21, 34, 55, 89, 144, 233, 377, 610, and 987.
Visual Clarity: Each SMA and EMA is color-coded with smooth gradients for quick visual identification.
Overlay on Chart: The moving averages are plotted directly on your price chart for easy analysis.
How to Use:
Add the indicator to your chart.
Use the input panel to toggle SMAs/EMAs on or off as needed.
Analyze price action in relation to Fibonacci-based moving averages for trend confirmation and potential trade setups.
移動平均線
Oliver Valez Triple MA StrategyStrategy Logic:
Trend Identification:
200 MA acts as the primary trend filter
Price above 200 MA = Bullish trend (green background)
Price below 200 MA = Bearish trend (red background)
Trading Signals:
Long Entry: 20 MA crosses above 50 MA + Price > 200 MA
Short Entry: 20 MA crosses below 50 MA + Price < 200 MA
Risk Management:
Adjustable stop loss (2% default)
Adjustable take profit (4% default)
Automatic position closing on opposite crossover signals
Customization Options:
Switch between SMA/EMA
Adjust MA lengths
Modify risk parameters
Change visual styles
How to Use:
Apply to any liquid asset (works best on daily timeframe)
Look for entries in the direction of the 200 MA trend
Use confluence with price action at key levels
Combine with volume analysis for confirmation
Key Features:
Triple MA confirmation system
Trend-filtered entries
Built-in risk management
Visual trend identification
Flexible input parameters
This strategy combines trend following with momentum signals while maintaining disciplined risk management - crucial principles in Oliver Valez's trading methodology.
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Momentum-Based Bitcoin StrategyMomentum-Based Bitcoin Strategy with Multi-Timeframe Confirmation
This Pine Script strategy is designed for Bitcoin traders looking to capture momentum-driven breakout moves and potential reversals. The script leverages key technical indicators such as moving average crossovers (EMA-20 and EMA-50), MACD crossovers, and RSI oversold conditions to generate buy signals. It integrates multi-timeframe analysis by confirming trends on higher timeframes (e.g., daily) while executing entries on lower timeframes (e.g., hourly).
Key Features:
Multi-Timeframe Analysis: Confirms higher timeframe trends before entering trades.
Momentum Signals: Moving average and MACD crossovers for breakout detection.
Dynamic Risk Management: ATR-based stop losses for position sizing and volatility control.
Alerts: Push notifications for both entries and exits to stay updated in real time.
Use Case: Ideal for momentum traders who want to combine technical confluence and dynamic risk management to capture breakout movements and limit downside risk effectively.
Dynamic Median EMA | QuantEdgeBIntroducing Dynamic Median EMA by QuantEdgeB
Dynamic Median EMA | QuantEdgeB is an adaptive moving average indicator that blends median filtering, a volatility-based dynamic EMA, and customizable filtering techniques to create a responsive yet stable trend detection system. By incorporating Standard Deviation (SD) or ATR bands, this indicator dynamically adjusts to market conditions, making it a powerful tool for both traders and investors.
Key Features:
1. Dynamic EMA with Efficiency Ratio 🟣
- Adjusts smoothing based on market conditions, ensuring optimal responsiveness to price changes.
- Uses an efficiency ratio to dynamically modify the smoothing factor, making it highly adaptive.
2. Median-Based vs. Traditional EMA Source 📊
- Users can choose between a Median-based smoothing method (default: ✅ enabled ) or a traditional price source.
- The median filter provides better noise reduction in choppy markets.
3. Volatility-Based Filtering with Custom Bands 🎯
- Two filtering methods:
a. Standard Deviation (SD) Bands 📏 (default ✅) – Expands and contracts based on
historical deviation.
b. ATR Bands 📈 – Uses Average True Range (ATR) to adjust dynamic thresholds.
- The user can toggle between SD and ATR filtering, depending on market behavior.
4. Customizable Signal Generation ✅❌
- Long Signal: Triggered when the price closes above the selected upper filter band .
- Short Signal: Triggered when the price closes below the lower filter band .
- Dynamically adjusts based on the filtering method (SD or ATR).
5. Enhanced Visuals & Customization🎨
- Multiple color modes available (Default, Solar, Warm, Cool, Classic, X).
- Gradient filter bands provide a clearer view of volatility expansion/contraction.
- Candlestick coloring for instant visual confirmation of bullish/bearish conditions.
________
How It Works:
- Source Selection : Users can choose to use the median of price action or a traditional price feed as the base input for the Dynamic EMA.
- Dynamic EMA Calculation : The indicator applies a volatility-adjusted smoothing algorithm based on the efficiency ratio, ensuring that price trends are detected quickly in volatile markets and smoothly in stable ones.
- Filtering Mechanism : 🎯 Use can chose between two filtering options. Standard deviation to dynamically adjust based on market deviations or ATR Bands to determine trend strength through volatility expansions
- Signal Generation :
1. Bullish (🔵) is triggered when price crosses above the upper band.
2. Bearish (🔴) is generated when price drops below the lower band.
- The filtering method (SD/ATR) determines how the bands expand/contract, allowing for better trade adaptability.
________
Use Cases:
✅ For Trend Trading & Breakouts:
- Use SD bands (default setting) to capture trend breakouts and avoid premature entries.
- SD bands expand during high volatility, helping confirm strong breakouts, and contract during low volatility, helping confirm earlier trend exit.
- Consider increasing Dynamic EMA length (default 8) for longer-term trend detection.
✅ For Smoother Trend Filtering:
- Enable ATR bands for a more stable and gradual trend filter.
- ATR bands help reduce noise in choppy conditions while maintaining responsiveness to volatility.
- This setting is useful for traders looking to ride trends with fewer false exits.
✅ For Volatility Awareness:
- Watch the expansion and contraction of the filter bands:
- Wide SD bands = High volatility, breakout potential.
- Tight SD bands = Consolidation, potential trend exhaustion.
- ATR bands provide steadier adjustments, making them ideal for traders who prefer
smoother trend confirmation.
________
Customization Options:
- Source Selection 🟢 (Default: Median filtering enabled ✅)
- Dynamic EMA Length ⏳ (Default: 8 )
- Filtering Method🎯 (SD Bands ✅ by default, toggle ATR if needed)
- Standard Deviation Length 📏 (Default: 30 )
- ATR Length 📈 (Default: 14, ATR multiplier 1.3)
- SD Bands Weights:📌
- Default settings (Upper = 1.035, Lower = 1.02) are optimized for daily charts.
- For lower timeframes (e.g., hourly charts), consider using lighter weights such as Upper =
1.024 / Lower = 1.008 to better capture price movements.
- The optimal SD Band weights depend on the asset's volatility, so adjust accordingly to align
with market conditions.
- Multiple Color Themes 🎨 (Default, Solar, Warm, Cool, Classic, X)
________
Conclusion
The Dynamic Median EMA | QuantEdgeB is a powerful trend-following & filtering indicator designed to adapt dynamically to market conditions. By combining a volatility-responsive EMA, custom filter bands, and signal-based candlestick coloring, this tool provides clear and reliable trade signals across different market environments. 🚀📈
🔹 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.
EMA 200 + Stochastic StrategyEMA 200 + Stochastic Strategy give buy and sell signals by ahmad yousef
EMA Cross Strategy with TP, SL, Fibonacci Levels, and TrendNew Additions:
EMA Crossover
Buy when EMA 9 crosses above EMA 21
Sell when EMA 9 crosses below EMA 21
Organized Labels
Fibonacci levels
Trend status (Uptrending/Downtrending)
Buy/Sell signals
Take Profit (TP) and Stop Loss (SL)
Pivot Point+ Supertrend + EMA + Support/Resistance- LAXMANTAK98
Pivot Point Supertrend with EMA and Support/Resistance Indicator
This custom trading indicator combines the following key components to assist in market analysis and trade decision-making:
Pivot Points:
Pivot points are calculated based on a chosen price source (High, Low, Open, or Close). These levels are used to determine potential support and resistance zones.
Pivot Highs (Resistance) and Pivot Lows (Support) are plotted as labels on the chart for easy identification.
Supertrend Indicator:
The Supertrend is a trend-following indicator that helps to identify bullish or bearish trends.
It uses the Average True Range (ATR) to calculate dynamic support/resistance levels, with adjustable settings for ATR length and multiplier factor.
The trend direction is visually represented by green (bullish) and red (bearish) lines on the chart.
Exponential Moving Averages (EMA):
The indicator plots up to four EMAs with user-defined periods (e.g., 9, 21, 50, 200).
EMAs are commonly used to smooth out price data and identify trends over various timeframes.
Support and Resistance Levels:
Based on Pivot Points, support and resistance levels are plotted using crosses on the chart.
These levels indicate possible price reversal points, helping traders spot key zones for entry and exit.
Visual Alerts:
The indicator includes built-in alerts for trend changes and potential buy/sell signals based on the transition between uptrend and downtrend states.
This combined indicator allows traders to analyze trends, identify key levels for trading, and make more informed decisions by integrating Pivot Points, Supertrend, EMAs, and Support/Resistance in one cohesive system.
Multi EMAMMulti EMA, farklı periyotlara sahip Üstel Hareketli Ortalamaları (EMA) kullanarak fiyat hareketlerini analiz eden ve trend yönünü belirlemeye yardımcı olan bir teknik analiz göstergesidir.
Bu gösterge, 5 farklı EMA değerini aynı anda grafik üzerine çizer ve fiyatın bu EMA seviyeleriyle olan ilişkisine göre mum çubuklarını renklendirerek trend değişimlerini görselleştirir.
smolka Bayesian Volatile ChannelDescription in English and Russian.
Bayesian Volatile Channel
The script is a loose interpretation of Bayes' theorem, which allows calculating the probability of events given that another event related to it has occurred, the script analyzes volatility and detects anomalies in price charts using a Bayesian approach, updating the model parameters to accurately estimate market fluctuations and detect changes in trends.
How does it work?
1. The script sets the initial parameters (mean price and standard deviation), creating a "hypothesis" about the market behavior.
2. When a new price appears, the script calculates the probability of its compliance with previous expectations. If the new price differs from the forecast, the model parameters (mean and standard deviation) are updated.
3. After updating the model, the probability that the current price and volatility correspond to a normal distribution is calculated.
4. Based on the updated model, volatility channels are built (mean price ± two standard deviations). If the price goes beyond these limits, this signals a possible anomaly indicating changes in the market.
5. The moving averages in the script act as data smoothing and trend analysis, helping to identify the market direction and minimize the impact of random fluctuations. The script uses moving averages to identify uptrends and downtrends, and calculates the average between them to display the overall market balance. These moving averages make market analysis clearer and more resistant to short-term fluctuations.
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Описание на английском и русском языках.
Байесовский волатильный канал
Скрипт является вольной интерпретацией теоремы Байеса, которая позволяет расчитать вероятность событий при условии, что произошло связанное с ним другое событие, скрипт анализирует волатильность и обнаруживает аномалии в графиках цен, используя байесовский подход, обновляя параметры модели для точной оценки рыночных колебаний и обнаружения изменений в тенденциях.
Как это работает?
1. Скрипт устанавливает начальные параметры (среднюю цену и стандартное отклонение), создавая "гипотезу" о поведении рынка.
2. При появлении новой цены скрипт вычисляет вероятность её соответствия предыдущим ожиданиям. Если новая цена отличается от прогноза, параметры модели (среднее и стандартное отклонение) обновляются.
3. После обновления модели рассчитывается вероятность того, что текущая цена и волатильность соответствуют нормальному распределению.
4. На основе обновлённой модели строятся каналы волатильности (средняя цена ± два стандартных отклонения). Если цена выходит за эти пределы, это сигнализирует о возможной аномалии, указывающей на изменения на рынке.
5. Средние скользящие в скрипте выполняют роль сглаживания данных и анализа трендов, помогая выявить направление рынка и минимизировать влияние случайных колебаний. Скрипт использует скользящие средние для определения восходящего и нисходящего трендов, а также рассчитывает среднее значение между ними для отображения общего баланса рынка. Эти скользящие средние делают анализ рынка более чётким и устойчивым к краткосрочным флуктуациям.
Solana 5min Buy/Sell Indicator 88.7% winratedont trade when there is consolidation its nto good. also this is an AI indicator, I personally backtested it and it works very well, hit a 2:1 win ratio and you should be fine, also some times just dont have a stop loss and or set it lower cause for some of the win (not that large of the margin fo them they go a diffrent direction first for like 2 min then move torwards signal
Multi EMA Indicator by MFHDescription
The Multi EMA (Exponential Moving Average) indicator is a technical analysis tool that plots five different EMAs on your chart simultaneously. This combination of multiple EMAs helps traders identify trends across different time frames and potential support/resistance levels.
Features
Displays 5 customizable EMAs (default periods: 9, 21, 50, 100, 200)
Color-coded lines for easy identification
Clean label display at the end of each EMA line
Fully customizable periods and colors through inputs
Default Settings
EMA 1: 9-period (Red)
EMA 2: 21-period (Blue)
EMA 3: 50-period (Green)
EMA 4: 100-period (Orange)
EMA 5: 200-period (Purple)
Customization
All aspects of the indicator can be customized through the inputs:
EMA periods can be adjusted to any value
Colors can be changed to match your preferred chart setup
Labels automatically update to reflect your chosen periods
20/50 EMA Crossover by Shravanits a simple 20/50 ema crossover
it provide signal when a crossover is happend
EMA lines with confluence gridThis indicator uses 2 EMA's (8 and 14 default) and uses a grid to tell you when they cross over!
Bobs Fibonacci Moving Averages 2.0Bob's Fibonacci Moving Averages plots ten moving averages based on Fibonacci sequence lengths, helping traders identify trends and price movements. It includes customizable smoothing options like SMA, EMA, and WMA for enhanced flexibility. Ideal for multi-timeframe analysis and trend confirmation.
Bobs Fibonacci Moving AveragesBob's Fibonacci Moving Averages plots ten moving averages based on Fibonacci sequence lengths, helping traders identify trends and price movements. It includes customizable smoothing options like SMA, EMA, and WMA for enhanced flexibility. Ideal for multi-timeframe analysis and trend confirmation.
Ansh Intraday Crypto Strategy v6This strategy is designed to take advantage of intraday market movements in the cryptocurrency space by combining multiple powerful technical indicators to generate high-probability trade signals. It incorporates:
Exponential Moving Average (EMA): The 55-period EMA is used as the backbone of the strategy, helping to identify the prevailing market trend. If the price is above the EMA, it's considered a bullish trend, and if the price is below, it's considered a bearish trend.
Relative Strength Index (RSI): The strategy employs the RSI to gauge market conditions and detect overbought or oversold conditions. A low RSI (below 30) indicates oversold conditions, which can signal potential buying opportunities, while a high RSI (above 70) suggests overbought conditions, which can signal potential selling opportunities.
Volume Spike: By incorporating volume analysis, the strategy ensures that trades are made when there is significant market interest. A volume spike, defined as volume higher than the average over a specific period, helps to confirm the strength of a price move, adding reliability to the signals.
Support and Resistance Levels: The strategy identifies key support and resistance levels based on recent price action. This enables the strategy to position trades near these critical zones, increasing the chances of successful entries and exits.
Candlestick Confirmation: The strategy incorporates candlestick patterns to confirm trade signals. Bullish signals are confirmed with a close above the open (indicating buying pressure), while bearish signals are confirmed with a close below the open (indicating selling pressure).
By combining these indicators, the Refined Intraday Crypto Strategy v5 aims to catch high-quality trade setups with strong risk-reward potential. It is an ideal strategy for active traders looking to capitalize on short-term price movements in volatile crypto markets.
With precise entry and exit points based on robust technical analysis, this strategy seeks to reduce risk and improve the consistency of profitable trades. It’s an excellent tool for both new and experienced traders in the fast-paced world of cryptocurrency.
SMC Trading Checklist with Price Action and Buy/Sell AlertsBUY and SELL Text in Bold:
The plotshape function is used to display the text "BUY" in bold when the conditions for a bullish entry are met, and "SELL" in bold when the conditions for a bearish entry are met.
The textcolor=color.white ensures the text is visible, and size=size.normal adjusts the size for clarity.
Visual Indicators:
The buy and sell signals are visually clear with green for buy and red for sell, along with bold text labels appearing above or below the candles as appropriate.
Alerts with Text:
The alerts now contain messages like "BUY!" or "SELL!" to provide explicit notifications when the signals are triggered.
Outputs:
BUY in bold text will appear when a bullish entry signal occurs.
SELL in bold text will appear when a bearish entry signal occurs.
The background will change to green for bullish and red for bearish entries, adding an extra layer of clarity.
Daily MACD Crossover Buy Sell IndicatorGives Buy/Sell indicator looking at MACD crossover on the 1D chart only. Good for swing trading.
Crypto MA + ATR Super AdaptativeThe Crypto MA + ATR Super Adaptative Indicator is designed to help traders identify trend levels and potential support/resistance zones using a dynamic measure of volatility. It calculates a central "Mid Line" (a moving average of the closing prices) and then plots multiple bands (or levels) above and below this line. These bands are spaced using a dynamic Average True Range (ATR) that is adjusted based on recent volatility via a Relative Volatility Factor (RVF).
Key Features
Dynamic ATR Calculation:
Uses a Relative Volatility Factor (RVF) to adjust the short-term ATR based on the dispersion of recent ATR values relative to a longer-term ATR reference. This ensures that the bands widen during periods of high volatility and narrow during periods of low volatility.
Mid Line (Central Moving Average):
A customizable moving average (with options such as SMA, EMA, WMA, RMA, HMA, ALMA) calculated from closing prices, which serves as the central reference for the bands.
Multiple Trend Levels:
Seven levels (both above and below the Mid Line) are plotted. Each level is computed as a multiple (1x through 7x) of the dynamic ATR added to or subtracted from the Mid Line.
Customizable Inputs:
Users can easily adjust the lookback periods for both the Mid Line and ATR calculations, choose the type of moving average, set the base multiplier for the bands, and toggle the display of each individual level.
Time Offset Option:
An offset parameter allows shifting the plotted lines forward or backward in time to better align with the user's charting preferences.
How It Works
Mid Line Calculation:
The indicator computes a moving average (the Mid Line) based on the closing prices using a user-selected method (e.g., EMA).
ATR Calculations:
Short-Term ATR (atrShort): Reflects current volatility over a short period (default is 14 bars).
Long-Term ATR (atrLong): Acts as a volatility reference calculated over a longer period (default is 100 bars).
Relative Volatility Factor (RVF):
First, the standard deviation of the short-term ATR over a specified lookback period (default is 14 bars) is calculated.
The RVF is then computed using the formula:
RVF
=
1
+
(
stdev(atrShort, rvfLength)
atrLong
)
RVF=1+(
atrLong
stdev(atrShort, rvfLength)
)
The Dynamic ATR is derived by multiplying the short-term ATR by the RVF:
Dynamic ATR
=
atrShort
×
RVF
Dynamic ATR=atrShort×RVF
Plotting the Trend Levels:
Each level is determined by adding (for upper levels) or subtracting (for lower levels) a multiple of the Dynamic ATR from the Mid Line. For example, Level 1 is:
Level 1
=
Mid Line
±
(
1.0
×
Dynamic ATR
)
Level 1=Mid Line±(1.0×Dynamic ATR)
This calculation is repeated for up to 7 levels.
User Inputs
Mid Line Settings:
Period: Number of bars for the moving average (e.g., 100).
Type: Moving average type (Options: SMA, EMA, WMA, RMA, HMA, ALMA).
ATR Settings:
ATR Short Period (atrShortLength): Default is 14.
(Reflects current market volatility.)
ATR Long Period (atrLongLength): Default is 100.
(Serves as the volatility reference.)
RVF Lookback Period (rvfLength): Default is 14.
(Used to compute the standard deviation of the short-term ATR.)
ATR Method: Moving average type for ATR calculation (Options: SMA, EMA, WMA, RMA, HMA, ALMA).
Band Multiplier:
Base Multiplier (multBase): Sets the scaling factor for the trend levels (default is 1.0).
Display Options:
Toggle Levels 1 to 7: Option to show or hide each trend level.
Bar Offset: Shifts the plotted lines forward or backward by a specified number of bars.
How to Use
Add to Chart:
Copy and paste the Pine Script code into TradingView’s Pine Editor and add the script to your chart.
Configure Settings:
Adjust the input parameters (such as moving average periods, ATR settings, and band multiplier) to suit your trading style and the instrument being analyzed.
Interpret the Levels:
The Mid Line acts as the central trend indicator.
The plotted bands represent dynamic support and resistance levels that adjust based on recent volatility.
Wider bands indicate higher volatility; narrower bands suggest lower volatility.
Apply in Trading:
Use these dynamic trend levels to help identify potential entry and exit points, confirm trends, or set stop-loss levels. Always combine the indicator with other technical analysis tools and sound risk management practices.
Disclaimer
This indicator is provided for educational purposes only. It is not financial advice, and its performance is not guaranteed. Trading involves substantial risk, and you should use this indicator in conjunction with other forms of analysis and risk management techniques.
Dynamic Trendline (NEW)This indicator marks the last high and lows, easier for verification of trend.
btc daily major lows test- rsi crossover 27
- ema 100 > ema 377
- btc daily timeframe
every yellow bar are representing major btc lows in an uptrend or ranging market, leading to big opportunities (longs)
the low of the candle under the yellow vertical line is also representing the support level of the range.
if that support breaks, new bear market may begin or actual bear market may continue.
made by phil
Enhanced Scalping Strategy with Stop Loss📌 Overview
The Enhanced Scalping Strategy with Stop Loss is a trend-following and momentum-based trading system designed for scalpers and short-term traders. It leverages Exponential Moving Averages (EMAs), Relative Strength Index (RSI), and Average True Range (ATR) to identify potential trading opportunities while implementing a stop-loss mechanism to minimize risk.
This script is designed to be used in various timeframes, with optimizations for 1-minute and 5-minute charts. The strategy focuses on momentum breakouts, ensuring that trades are taken in strong trending conditions while filtering out false signals using volatility-based confirmation.
🔍 How It Works
This strategy uses three main indicators to generate trade signals:
1️⃣ Moving Averages (Fast & Slow EMAs)
Fast EMA (default: 9-period)
Slow EMA (default: 21-period)
A bullish crossover (Fast EMA crossing above Slow EMA) signals a potential long trade.
A bearish crossover (Fast EMA crossing below Slow EMA) signals a potential short trade.
2️⃣ Relative Strength Index (RSI)
The RSI is used as an overbought/oversold filter.
Default settings:
Overbought Level: 70 → Avoid long trades when RSI is too high.
Oversold Level: 30 → Avoid short trades when RSI is too low.
3️⃣ Average True Range (ATR) Multiplier
ATR is used to filter out low-volatility conditions.
The script ensures that price exceeds a threshold based on ATR before confirming a trade, reducing false breakouts.
4️⃣ Stop Loss Mechanism
Stop loss is dynamically calculated based on a percentage of the entry price (default: 1%).
Long Trade Stop Loss: Set 1% below entry price.
Short Trade Stop Loss: Set 1% above entry price.
The strategy will automatically exit trades if the stop loss is hit.
🎯 Entry & Exit Conditions
🔵 Long Entry (Buy Signal)
Fast EMA crosses above Slow EMA (Bullish crossover).
RSI is below overbought (70) → Avoid buying into extreme conditions.
Price is above Fast EMA + ATR Multiplier → Ensures a strong trend.
Stops any active short trade before entering long.
🔴 Short Entry (Sell Signal)
Fast EMA crosses below Slow EMA (Bearish crossover).
RSI is above oversold (30) → Avoid shorting into extreme weakness.
Price is below Fast EMA - ATR Multiplier → Ensures a strong trend.
Stops any active long trade before entering short.
🔄 Exit Conditions
Long Trade Exit:
Fast EMA crosses below Slow EMA (Bearish crossover).
OR Stop loss is hit (price drops 1% below entry).
Short Trade Exit:
Fast EMA crosses above Slow EMA (Bullish crossover).
OR Stop loss is hit (price rises 1% above entry).
🛠 How to Use
1️⃣ Adding the Strategy
Open TradingView.
Navigate to the Pine Script Editor.
Copy and paste the script.
Click Add to Chart.
2️⃣ Customizing Settings
Adjust the Moving Average lengths to suit different timeframes.
Modify the RSI overbought/oversold levels for better filtering.
Change the ATR Multiplier to fine-tune the volatility filter.
Customize the Stop Loss Percentage to match your risk tolerance.
3️⃣ Best Timeframes for Scalping
1-Minute (M1): Fast scalping, more signals.
5-Minute (M5): Reduced noise, better trend identification.
15-Minute (M15) and higher: Can be used for intraday trading.
4️⃣ Alerts & Notifications
Set up alerts to receive buy/sell signals.
Alerts include:
Long Entry Alert (Buy Signal)
Short Entry Alert (Sell Signal)
Exit Long Alert (Close Buy Position)
Exit Short Alert (Close Sell Position)
📊 Visuals on the Chart
✅ Buy Signals: Displayed as green upward arrows.
✅ Sell Signals: Displayed as red downward arrows.
✅ EMA Lines:
Fast EMA (blue)
Slow EMA (orange)
✅ RSI Background Coloring:
Red background when RSI is overbought.
Green background when RSI is oversold.
🔎 Pros & Cons
✅ Pros
✔️ Works on multiple timeframes with automatic adjustments.
✔️ Uses ATR to confirm trends, reducing false signals.
✔️ Built-in stop loss for better risk management.
✔️ Alerts & visual signals for easy trade execution.
✔️ Can be customized for different trading styles.
❌ Cons
❌ May perform poorly in ranging markets.
❌ Stop-loss percentage may need optimization for different assets.
❌ Higher timeframes might require different parameters for best performance.
