SM/CENKER - Scalping Signal w/ Volume SpikeSM/CENKER - Scalping Signal with Volume Spike
This advanced scalping indicator combines MACD, RSI, EMA, VWAP, and volume spike detection to generate high-probability entry signals. It filters out low-quality setups by confirming entries only during volume surges.
🔍 Key Features:
✅ Volume Spike Filter: Signals are triggered only when volume exceeds 150% of the 20-bar average.
✅ Momentum Cross Confirmation: MACD crossover, RSI conditions, and price above/below EMA & VWAP are all required.
✅ Visual Background: Green or red background highlights BUY/SELL zones for quick decision-making.
✅ Clean Labels: Simple BUY/SELL labels are plotted on the chart.
✅ Optimized for Real-Time Scalping: Works effectively on 1M, 3M, 5M, and 15M charts.
📌 Recommended Timeframes & Settings:
Timeframe EMA RSI MACD Volume Spike Threshold
1 Minute 9 14 12-26-9 1.5x Avg Volume
3 Minute 9 14 12-26-9 1.5x Avg Volume
5 Minute 9 14 12-26-9 1.5x Avg Volume
15 Minute 9 14 12-26-9 1.5x Avg Volume
⚠️ Disclaimer: This script is for educational purposes only and does not constitute financial advice.
Komut dosyalarını "Buy sell" için ara
SM/CENKER - MACD + EMA 200 MTF Trend Panel📊 SM/CENKER - MACD + EMA 200 MTF Trend Panel
This advanced indicator combines the power of MACD momentum, EMA 200 trend filter, and volume confirmation to generate clean buy/sell signals, all while adapting to multi-timeframe (MTF) trend context.
🔍 Key Features:
✅ Multi-Timeframe EMA 200: Analyze higher timeframe trend while trading on your current chart.
📈 Buy/Sell Signals: Triggered only when MACD crossover aligns with the MTF trend direction and volume spike confirms the move.
🟢 Trend Coloring: EMA 200 line dynamically turns green in uptrend and red in downtrend.
🧭 Trend Panel: Top-right dashboard showing real-time trend direction and volume status.
📍 Minimalist Labels: Clean, modern BUY/SELL labels directly on the chart for easy spotting.
🕹️ Fully customizable font size and timeframe settings.
🚨 Ideal for traders looking for trend-following momentum entries with volume validation, and clean visual support.
⚠️ Disclaimer: This script is intended for educational purposes only and not for financial advice or commercial use.
Prev Week POC Buy/Sell Signals
Hi, I’m Edward. I created a straightforward strategy for swing traders (4hr or 8hr timeframe users). This strategy is for traders that are not interested to look at charts all day long, 2 times a day max, but still be profitable.
The indicator:
Print a buy signal when the price closes above the previous week's Point of Control (POC).
Stay in the trade until the price closes below the previous week's POC, then print a sell signal.
The indicator calculates the weekly POC using a basic volume profile method, then tracks the previous week's POC for signals.
Previous week POC is valid from Monday to Thursday. By close of business on Thursday, the current week trend and POC should be well established and should be used make buy or sell decisions. Enjoy!
EMA Crossover with 10-Bar Stop Loss🧠 EMA Crossover Indicator with Dynamic Stop Loss
This indicator is designed to assist traders in identifying trend-based entries with clearly defined risk levels. It plots customizable Fast and Slow EMAs and generates real-time Buy and Sell labels when crossovers occur.
✨ Key Features:
🔁 Buy/Sell Signals: Triggered by EMA crossover logic.
🛑 Dynamic Stop Loss: Calculated using the lowest low or highest high over the past 10 candles.
⚙️ Fully Configurable Inputs: Fine-tune EMA lengths and stop loss lookback.
This tool is especially useful for traders who follow trend confirmation and prefer building consistent risk-based setups. Visual, simple, and adaptable—ideal for backtesting or live chart analysis.
EMA Crossover with Stop Loss LabelEMA Crossover Strategy with Dynamic Stop Loss
This indicator generates Buy and Sell signals based on the crossover of two customizable EMAs. Each signal is accompanied by a real-time Stop Loss, calculated from the previous candle's high or low:
✅ Buy Signal: When Fast EMA crosses above Slow EMA 📍 Stop Loss = Previous candle’s Low
❌ Sell Signal: When Fast EMA crosses below Slow EMA 📍 Stop Loss = Previous candle’s High
Key Features:
User-defined EMA lengths
Clean Buy/Sell labels directly on the chart
Real-time Stop Loss annotations for precision risk management
Ideal for trend-following and swing trading strategies
Volatility RSI Breakout + Volume Filter [v6]This indicator is designed for my dca bot as entry signal. It combines four key conditions to generate high-probability buy/sell signals:
RSI Momentum Filter – Detects early strength or weakness before extreme overbought/oversold levels.
Bollinger Band Breakout – Confirms price expansion beyond recent volatility ranges.
Volume Spike Filter – Ensures breakout moves are supported by increased trader activity.
ATR Volatility Threshold – Trades are only allowed in sufficiently volatile environments.
The indicator plots:
Buy/Sell labels directly on the chart when all conditions are met.
DP_MoneyFlow_Osc_V4**DP_Moneyflow_Osc_V4** is a custom, volume‐weighted momentum oscillator built around the classic Money Flow Index (MFI), with a few twists to help you spot more reliable reversal points:
***Best way to use it is to take the signals as alert points, to understand when money is starting to flow in or starting to flow out. It is not intended to be a Buy or Sell signal at the point of entry where the label is printed.***
1. **Core Calculation**
* Computes the standard MFI on your chart’s native timeframe:
* Money Flow = typical price (H+L+C)/3 × volume
* Segregates positive vs. negative flow based on whether price rose or fell on each bar
* Smooths each with an N-bar SMA, forms the ratio, and maps it into a 0–100 scale
2. **Inversion & Smoothing**
* You can **invert** the oscillator around 50 (so peaks become troughs and vice versa) with the **Reverse MFI** toggle.
* Applies two layers of smoothing (one for raw noise reduction, another for longer-term trend stability).
3. **Dynamic Coloring**
* Above Overbought (OB) threshold → solid red; below Oversold (OS) → solid green.
* In between, it linearly fades from red/green toward black as it approaches the 50 midpoint.
* **Invert Colors** flips the hue logic (red ↔ green) if you prefer.
4. **Overbought/Oversold Zones**
* Plots horizontal lines at your chosen OB/OS levels.
* Optionally fills the zone between them for quick visual reference.
5. **Peak/Trough Signal Labels**
* Detects **true extremes** by finding when the oscillator reverses direction right at or beyond your OB/OS levels.
* Prints a tiny “OB” or “OS” label **exactly at that pivot bar**, so you see the high or low of the swing.
6. **Alternation Toggle**
* Prevents two consecutive “OS” or “OB” labels by enforcing strict Buy/Sell alternation—turn this on or off via **Enable Signal Alternation**.
---
**Use-Case**: This oscillator excels at pinpointing the *tops* and *bottoms* of strong volume‐backed moves, giving you clear pivot markers rather than every threshold crossover. Tweak the smoothing and threshold inputs to calibrate sensitivity to your market and timeframe.
SuperTrend Adaptive (STD Smooth)Supertrend Adaptive (Smoothed StdDev)
Supertrend Adaptive is a refined trend-following indicator based on the classic Supertrend. It enhances the original by incorporating smoothed standard deviation into the volatility calculation, instead of relying solely on ATR. This hybrid approach enables more responsive and adaptive trend detection, reducing noise and false signals in volatile or ranging markets. The indicator also features confidence-weighted signal labels and a clean, uncluttered display, making it practical for any trading timeframe.
🔍 Detailed Methodology and Conceptual Foundation
Unlike traditional Supertrend indicators that use only absolute volatility (ATR) to define trend bands, this version blends standard deviation — a relative volatility measure — into the calculation. Standard deviation helps capture the dispersion of price, not just its range, and when smoothed, it filters out erratic jumps caused by sudden spikes or drops.
This fusion creates trend bands that expand and contract dynamically based on recent price variability. As a result:
Fewer whipsaws : The trend bands adjust to both low and high volatility environments, which helps avoid unnecessary signal flips during consolidation.
Stronger trend adherence : Signals are less reactive to momentary price movements. This allows the indicator to hold positions longer in trending markets, giving traders the opportunity to ride extended moves.
Bollinger Band-style adaptation : By including standard deviation, this indicator behaves similarly to Bollinger Bands — accounting for relative price change rather than absolute moves alone.
These enhancements make the tool suitable not only for identifying directional bias, but also for refining entries and exits with more context-aware volatility filtering.
📈 How to Use the Indicator
Trend Direction: The script draws a colored line beneath (uptrend) or above (downtrend) price. Green indicates bullish trend, red indicates bearish.
Buy/Sell Labels: Only the most recent signal is shown to reduce clutter:
🟢 Green "Buy" label = trend reversal to bullish, with strong confidence.
🔵 Blue "Buy" label = same reversal, but with lower volume confidence.
🔴 Red "Sell" label = trend reversal to bearish, with strong confidence.
🟠 Orange "Sell" label = bearish signal with lower volume confidence.
These color codes are derived from comparing current volume to its average — a higher-than-average volume gives greater confidence to the signal.
Settings:
ATR Period: Controls the smoothing window for volatility calculation.
ATR Multiplier: Adjusts the size of the trend bands.
Std Smooth: Controls smoothing applied to standard deviation to reduce jitter.
Change ATR Method: Option to toggle between default and smoothed ATR.
Show Signals: Toggle for label display.
📢 Alerts
The script includes three built-in alert conditions:
Buy Signal: Triggered when the trend flips to bullish.
Sell Signal: Triggered when the trend flips to bearish.
Trend Direction Change: Alerts on any switch in trend regardless of confidence level.
These alerts allow traders to automate notifications or integrations with bots or trading platforms.
🧼 Clean Chart Display
To ensure clarity and comply with best practices:
The chart shows only this indicator.
Trend lines are drawn in real time for visual context.
Only one label per direction is shown — the most recent one — to keep the chart readable.
No drawings or unrelated indicators are included.
This setup ensures the script’s signals and structure are immediately understandable at a glance.
📌 Best Use Cases
This tool is designed for:
Traders who want adaptive volatility filters instead of rigid ATR-based models.
Scalpers and swing traders who prefer clean charts with minimal lag and fewer false signals.
Any asset class — works well on crypto, FX, and equities.
Shortcoming of this tool is sideway price action (will be tackled in next versions).
Credit for www.tradingview.com the version which this script extends.
Intraday Volume by Saurabh Maggoinspired by volume indicator by nitin
Key Features
Dynamic Volume Visualization: Features thicker volume bars with color-coded insights—grey for normal volume (0.5x-1.5x baseline), orange for low volume (<0.5x), blue for Intraday Pocket Pivots (IPP), green for high up volume, and red for high down volume.
Snort Signals: Identifies strong moves with green Bull Snorts (below bars) and red Bear Snorts (above bars), triggered by volume exceeding 2.0x the baseline with significant price action.
Highest/Lowest Volume Markers: Blue squares mark the highest volume bar, and a single orange square marks the first lowest volume bar, aiding trend identification.
Enhanced Table Metrics: A 2x3 table displays Trend Strength (TS, green >100%, red <100%), Buy/Sell Signal (BS, green "Buy", red "Sell", grey "Neutral"), and Net Pressure (NP, green >0%, red <0%), offering a comprehensive view of volume and price pressure, reset daily at 9:15 AM IST.
EMA 50/200 Pullback + RSI/SMA RSI
Strategy Description: EMA 50/200 Pullback + RSI/SMA RSI
1. Trend Identification with EMA:
Uses two Exponential Moving Averages (EMA): a fast EMA (default 50) and a slow EMA (default 200).
When the fast EMA crosses above the slow EMA (bullish crossover), an uptrend is identified.
When the fast EMA crosses below the slow EMA (bearish crossover), a downtrend is identified.
The lengths of both EMAs are fully customizable.
2. EMA Distance Condition:
Signals are only valid when the absolute percentage distance between the two EMAs is within a user-defined range (default: 0.4% to 1%).
This helps filter out weak signals when the EMAs are too close or too far apart.
3. Pullback Condition:
After a new trend is detected (EMA crossover), the strategy waits for the price to pull back to touch or cross the fast EMA (EMA 50).
This ensures entries are not taken immediately at the crossover, but after a retracement to a dynamic support/resistance area.
4. RSI Confirmation:
Uses the RSI indicator (default 14) and its Simple Moving Average (SMA RSI, default 14).
Buy signal: RSI crosses above its SMA.
Sell signal: RSI crosses below its SMA.
Both RSI and SMA RSI lengths are fully customizable.
5. Entry Rules:
The indicator only gives the first buy/sell signal after each EMA crossover (start of a new trend), and will not repeat signals until the next EMA crossover.
Buy signal:
Fast EMA crosses above slow EMA
EMA distance is within the valid range
Price pulls back to the fast EMA
RSI crosses above its SMA
Sell signal:
Fast EMA crosses below slow EMA
EMA distance is within the valid range
Price pulls back to the fast EMA
RSI crosses below its SMA
6. Customization:
All parameters (EMA lengths, RSI length, SMA RSI length, EMA distance range) can be adjusted in the indicator’s settings.
Note:
This is a signal indicator, not a complete trading strategy. For real trading, always combine with risk management and additional confirmations.
4-EMA Signals + MTF Analysis4-EMA Signals + MTF Analysis Indicator: User Guide
This indicator is designed for active traders; from scalpers / intra-day traders to swing-traders who simply want an easy to understand, simple, but yet comprehensive and easy-to-understand indicator with a quick overview of initial market momentum and overall market direction to assist the trader in their initial trading.
The main feature of this indicator is that It overlays four exponential moving averages (EMAs), and provides a dashboard of real-time trend signals for both buy and sell (long/short) scenarios.
Settings Overview
MA Period Setup
Custom: Set your own EMA periods.
Conservative, Aggressive, Fibonacci: Quickly apply preset EMA period combinations for different trading styles.
EMA Periods (Custom Setup)
Fast EMA: Shortest EMA, reacts quickly to price (default 7).
Medium-Short EMA: Intermediate speed (default 25).
Medium-Long EMA: Slower, filters out more noise (default 70).
Slow EMA: Longest-term trend (default 200).
(These settings can be adjusted to suit your individual needs)
Main Indicator Features
Four EMAs : Plotted in distinct colors (green, yellow, orange, red) for quick trend recognition - this can be altered in colour to your personal preferences.
Buy/Sell Signals : Triangles appear below/above bars when EMA crossovers occur, optionally filtered by volume - the volume filter when applied greatly reduces the influx of signals, only giving high-quality signals!
Trading Sessions + Backgrounds : A trading session feature has been added: (London, New York, Asia, Sydney) with the choice of a background to indicate each global trading session.
Volume Overlay : Volume bars and a blue volume moving average line for context.
Dashboard Table (Top Right):
Market Direction: Shows the overall EMA alignment (bullish, bearish, weak, consolidating).
The initial trend on the 5m, 15m, 1H, and 4H time-frame to give a quick snapshot of overall trend direction.
How to Use
Trend Identification :
-- Use the EMA alignment and dashboard table to quickly see if the market is bullish, bearish, or consolidating.
EMA Set-up
-- Adjust the EMA settings to your specific requirements, the signals will alter depending on the volatility of the instrument your trading.
Signal Confirmation :
-- ''Buy'' signals simply appear when the faster EMAs cross above slower EMAs in and ''Sell'' signals simply appear when they cross below.
Volume Context :
--Use the volume moving average and the optional volume filter to avoid signals during low-activity periods.
No Repainting :
-- All signals and dashboard readings are calculated using only confirmed, closed bars. What you see in real time is exactly what will appear in your back-test — no repainting or look-ahead bias.
Alerts / Notifications
Now for the fun part:
1. Enable Buy/Sell Signal Alerts: Get notifications when buy or sell signals occur.
2. For Alerts to function correctly, set the ''condition'' to the indicator itself.
3. Select ''EMA Bearish Cross'' or ''EMA Bullish Cross'' depending whether you want alerts for either buy/sell signals - Or one can simply set alerts for both scenarios.
4. For ''Interval'' set to ''Same as chart'' - So, the time-frame which you'd like to trade on.
5. For ''Trigger'' set to ''Once Per Bar Close''.
6. Save.
7. Wait for a signal to occur!
NOTE: Before placing a trade, it's often best to also assess the market conditions at that time also - and not rely solely on the signals, the signals are to assist, and it's often occurred a signal has shown, but a pull-back occurs, and a FVG in discount holds -- it's this FVG holding, accompanied by volume, that's the real entry, possibly.
Tip: For the cleanest results, use the indicator during the most active sessions and always check multi-time-frame trend alignment before entering trades. Good Luck! :)
BSL & SSL - Liquidity Zones
BSL & SSL - Liquidity Zones
Indicator Description (for TradingView)
Concept
The BSL & SSL - Liquidity Zones indicator is a simple yet powerful visual tool that helps traders identify key liquidity zones in the market by tracking prominent highs and lows on the chart.
It is based on the concept that the Highest High (Buy Side Liquidity - BSL) and Lowest Low (Sell Side Liquidity - SSL) represent zones where stop-loss orders and pending orders accumulate — often attracting future price movements.
Purpose
This indicator helps traders spot hidden liquidity levels which may act as targets or potential reversal points. It is especially useful for traders who apply Smart Money Concepts (SMC) or institutional trading models.
Great for detecting potential stop hunts and understanding market structure shifts.
How It Works
The indicator calculates the Highest High and Lowest Low over a user-defined period (default: 20 candles).
When a new Higher High forms, it marks a new BSL.
When a new Lower Low forms, it marks a new SSL.
These zones are likely to attract price in the future — either as targets or traps.
Visualization
The indicator draws static horizontal lines (Stepline style) at BSL and SSL levels.
These lines remain in place until broken or a new level is formed.
Visual Labels enhance clarity:
🟢 Green Label → BSL
🔴 Red Label → SSL
Trading Insights / Practical Use
When price approaches a BSL or SSL zone, ask yourself:
✅ Will price break the level to grab liquidity?
✅ Will there be a reversal after liquidity is taken?
The indicator does not provide signals by itself — it serves as a valuable confirmation tool when combined with:
Price Action
Support & Resistance
Momentum Indicators
SMC Tools
Key Benefits
✅ Easy to use
✅ Enhances liquidity analysis
✅ Highlights zones targeted by institutional players
✅ Simple calculation — no complex formulas
Limitations
🚫 Does NOT generate buy/sell signals
🚫 Should be used as part of a complete trading framework
Conclusion
BSL & SSL - Liquidity Zones is a versatile and intuitive tool for any trader looking to better understand where liquidity is positioned on the chart.
It works across all timeframes and complements any trading strategy, especially Smart Money-based approaches.
Breakout TrendTiltFolio Breakout Trend indicator
The Breakout Trend indicator is designed to help traders clearly visualize trend direction by combining two complementary techniques: moving averages and Donchian-style breakout logic.
Rather than relying on just one type of signal, this indicator merges short-term and long-term moving averages with breakout levels based on recent highs and lows. The moving averages define the broader trend regime, while the breakout logic pinpoints moments when price confirms directional momentum. This layered approach filters out many false signals while still capturing high-conviction moves.
Yes, these are lagging indicators by design — and that’s the point. Instead of predicting every wiggle, the Breakout Trend waits for confirmation, offering higher signal quality and fewer whipsaws. When the price breaks above a recent high and sits above the long-term moving average, the trend is more likely to persist. That’s when this indicator shines.
While it performs best on higher timeframes (daily/weekly), it's also adaptable to shorter timeframes for intraday traders who value clean, systematic trend signals.
For early signal detection, we recommend pairing this with TiltFolio’s Buying/Selling Proxy, which anticipates pressure buildups—albeit with more noise.
It's easy to read and built for real-world trading discipline.
RSI Buy Sell Signals+ with MFI Cloud [RanaAlgo]Indicator Overview
This indicator combines RSI (Relative Strength Index) with MFI (Money Flow Index) to generate trading signals with additional confirmation filters. The key features include:
RSI Analysis (14-period) with overbought/oversold levels
MFI Cloud (20-period default) showing trend direction via EMAs
Enhanced Signal Generation with volume and trend confirmation options
Visual Elements including colored zones, signal labels, and an information panel
How to Use This Indicator
Basic Interpretation:
Buy Signals (green labels) appear when:
RSI crosses above oversold level (30) OR
RSI shows a rising pattern from oversold zone with volume/trend confirmation (if enabled)
Sell Signals (red labels) appear when:
RSI crosses below overbought level (70) OR
RSI shows a falling pattern from overbought zone with volume/trend confirmation (if enabled)
MFI Cloud provides trend confirmation:
Green cloud = bullish trend (fast EMA > slow EMA)
Red cloud = bearish trend (fast EMA < slow EMA)
Recommended Usage:
For Conservative Trading:
Enable both volume and trend confirmation
Require MFI cloud to align with signal direction
Wait for RSI to clearly exit overbought/oversold zones
For Active Trading:
Combine with price action at key support/resistance levels
Watch for divergence between price and RSI
The Information Panel (top-right) shows:
Current RSI value and status
MFI trend direction
Last generated signal
Current momentum
Customization Options:
Adjust RSI/MFI lengths for sensitivity
Modify overbought/oversold levels
Toggle volume/trend confirmation requirements
Adjust visual elements like cloud opacity and zone visibility
LRCLRC (Linear Regression Candle)
Overview
The LRC (Linear Regression Candle) indicator applies linear regression to the open, high, low, and close prices, creating smoothed "candles" that help filter market noise. It provides trend-confirmation signals and highlights potential reversal points based on regression crossovers.
Key Features
Smoothed Candles: Uses linear regression to calculate synthetic OHLC values, reducing noise.
Multi-Timeframe Support: Optional higher timeframe analysis for better trend confirmation.
Visual Signals: Color-coded candles and labels highlight bullish/bearish control zones.
Customizable Settings: Adjustable regression length, colors, and timeframe options.
How to Use
Signals & Interpretation
🟢 Bullish Signal (BUY): When the regression open crosses above the regression close (green candle).
🔴 Bearish Signal (SELL): When the regression open crosses below the regression close (red candle).
Control Zones:
Strong Bullish (Controlbull): Confirmed uptrend (bright green).
Bullish (Bull): Regular uptrend (light green).
Strong Bearish (Controlbear): Confirmed downtrend (dark red).
Bearish (Bear): Regular downtrend (orange).
Neutral (Gray): No clear trend.
Recommended Settings
Linear Regression Length: Default 8 (adjust for sensitivity).
Timeframe: Default current chart, but can switch to higher timeframes (e.g., 1D, 1W).
Bar Colors: Toggle on/off for visual clarity.
Labels: Displays "Control" markers at key reversal points.
Example Use Cases
Trend Confirmation: Use higher timeframe LRC to validate the primary trend.
Reversal Signals: Watch for BUY/SELL crossovers with strong color confirmation.
Noise Reduction: Helps avoid false breakouts in choppy markets.
OpenAI Signal Generator - Enhanced Accuracy# AI-Powered Trading Signal Generator Guide
## Overview
This is an advanced trading signal generator that combines multiple technical indicators using AI-enhanced logic to generate high-accuracy trading signals. The indicator uses a sophisticated combination of RSI, MACD, Bollinger Bands, EMAs, ADX, and volume analysis to provide reliable buy/sell signals with comprehensive market analysis.
## Key Features
### 1. Multi-Indicator Analysis
- **RSI (Relative Strength Index)**
- Length: 14 periods (default)
- Overbought: 70 (default)
- Oversold: 30 (default)
- Used for identifying overbought/oversold conditions
- **MACD (Moving Average Convergence Divergence)**
- Fast Length: 12 (default)
- Slow Length: 26 (default)
- Signal Length: 9 (default)
- Identifies trend direction and momentum
- **Bollinger Bands**
- Length: 20 periods (default)
- Multiplier: 2.0 (default)
- Measures volatility and potential reversal points
- **EMAs (Exponential Moving Averages)**
- Fast EMA: 9 periods (default)
- Slow EMA: 21 periods (default)
- Used for trend confirmation
- **ADX (Average Directional Index)**
- Length: 14 periods (default)
- Threshold: 25 (default)
- Measures trend strength
- **Volume Analysis**
- MA Length: 20 periods (default)
- Threshold: 1.5x average (default)
- Confirms signal strength
### 2. Advanced Features
- **Customizable Signal Frequency**
- Daily
- Weekly
- 4-Hour
- Hourly
- On Every Close
- **Enhanced Filtering**
- EMA crossover confirmation
- ADX trend strength filter
- Volume confirmation
- ATR-based volatility filter
- **Comprehensive Alert System**
- JSON-formatted alerts
- Detailed technical analysis
- Multiple timeframe analysis
- Customizable alert frequency
## How to Use
### 1. Initial Setup
1. Open TradingView and create a new chart
2. Select your preferred trading pair
3. Choose an appropriate timeframe
4. Apply the indicator to your chart
### 2. Configuration
#### Basic Settings
- **Signal Frequency**: Choose how often signals are generated
- Daily: Signals at the start of each day
- Weekly: Signals at the start of each week
- 4-Hour: Signals every 4 hours
- Hourly: Signals every hour
- On Every Close: Signals on every candle close
- **Enable Signals**: Toggle signal generation on/off
- **Include Volume**: Toggle volume analysis on/off
#### Technical Parameters
##### RSI Settings
- Adjust `rsi_length` (default: 14)
- Modify `rsi_overbought` (default: 70)
- Modify `rsi_oversold` (default: 30)
##### EMA Settings
- Fast EMA Length (default: 9)
- Slow EMA Length (default: 21)
##### MACD Settings
- Fast Length (default: 12)
- Slow Length (default: 26)
- Signal Length (default: 9)
##### Bollinger Bands
- Length (default: 20)
- Multiplier (default: 2.0)
##### Enhanced Filters
- ADX Length (default: 14)
- ADX Threshold (default: 25)
- Volume MA Length (default: 20)
- Volume Threshold (default: 1.5)
- ATR Length (default: 14)
- ATR Multiplier (default: 1.5)
### 3. Signal Interpretation
#### Buy Signal Requirements
1. RSI crosses above oversold level (30)
2. Price below lower Bollinger Band
3. MACD histogram increasing
4. Fast EMA above Slow EMA
5. ADX above threshold (25)
6. Volume above threshold (if enabled)
7. Market volatility check (if enabled)
#### Sell Signal Requirements
1. RSI crosses below overbought level (70)
2. Price above upper Bollinger Band
3. MACD histogram decreasing
4. Fast EMA below Slow EMA
5. ADX above threshold (25)
6. Volume above threshold (if enabled)
7. Market volatility check (if enabled)
### 4. Visual Indicators
#### Chart Elements
- **Moving Averages**
- SMA (Blue line)
- Fast EMA (Yellow line)
- Slow EMA (Purple line)
- **Bollinger Bands**
- Upper Band (Green line)
- Middle Band (Orange line)
- Lower Band (Green line)
- **Signal Markers**
- Buy Signals: Green triangles below bars
- Sell Signals: Red triangles above bars
- **Background Colors**
- Light green: Buy signal period
- Light red: Sell signal period
### 5. Alert System
#### Alert Types
1. **Signal Alerts**
- Generated when buy/sell conditions are met
- Includes comprehensive technical analysis
- JSON-formatted for easy integration
2. **Frequency-Based Alerts**
- Daily/Weekly/4-Hour/Hourly/Every Close
- Includes current market conditions
- Technical indicator values
#### Alert Message Format
```json
{
"symbol": "TICKER",
"side": "BUY/SELL/NONE",
"rsi": "value",
"macd": "value",
"signal": "value",
"adx": "value",
"bb_upper": "value",
"bb_middle": "value",
"bb_lower": "value",
"ema_fast": "value",
"ema_slow": "value",
"volume": "value",
"vol_ma": "value",
"atr": "value",
"leverage": 10,
"stop_loss_percent": 2,
"take_profit_percent": 5
}
```
## Best Practices
### 1. Signal Confirmation
- Wait for multiple confirmations
- Consider market conditions
- Check volume confirmation
- Verify trend strength with ADX
### 2. Risk Management
- Use appropriate position sizing
- Implement stop losses (default 2%)
- Set take profit levels (default 5%)
- Monitor market volatility
### 3. Optimization
- Adjust parameters based on:
- Trading pair volatility
- Market conditions
- Timeframe
- Trading style
### 4. Common Mistakes to Avoid
1. Trading without volume confirmation
2. Ignoring ADX trend strength
3. Trading against the trend
4. Not considering market volatility
5. Overtrading on weak signals
## Performance Monitoring
Regularly review:
1. Signal accuracy
2. Win rate
3. Average profit per trade
4. False signal frequency
5. Performance in different market conditions
## Disclaimer
This indicator is for educational purposes only. Past performance is not indicative of future results. Always use proper risk management and trade responsibly. Trading involves significant risk of loss and is not suitable for all investors.
Kaufman Trend Strength Signal█ Overview
Kaufman Trend Strength Signal is an advanced trend detection tool that decomposes price action into its underlying directional trend and localized oscillation using a vector-based Kalman Filter.
By integrating adaptive smoothing and dynamic weighting via a weighted moving average (WMA), this indicator provides real-time insight into both trend direction and trend strength — something standard moving averages often fail to capture.
The core model assumes that observed price consists of two components:
(1) a directional trend, and
(2) localized noise or oscillation.
Using a two-step Predict & Update cycle, the filter continuously refines its trend estimate as new market data becomes available.
█ How It Works
This indicator employs a Kalman Filter model that separates the trend from short-term fluctuations in a price series.
Predict & Update Cycle : With each new bar, the filter predicts the price state and updates that prediction using the latest observed price, producing a smooth but adaptive trend line.
Trend Strength Normalization : Internally, the oscillator component is normalized against recent values (N periods) to calculate a trend strength score between -100 and +100.
(Note: The oscillator is not plotted on the chart but is used for signal generation.)
Filtered MA Line : The trend component is plotted as a smooth Kalman Filter-based moving average (MA) line on the main chart.
Threshold Cross Signals : When the internal trend strength crosses a user-defined threshold (default: ±60), visual entry arrows are displayed to signal momentum shifts.
█ Key Features
Adaptive Trend Estimation : Real-time filtering that adjusts dynamically to market changes.
Visual Buy/Sell Signals : Entry arrows appear when the trend strength crosses above or below the configured threshold.
Built-in Range Filter : The MA line turns blue when trend strength is weak (|value| < 10), helping you filter out choppy, sideways conditions.
█ How to Use
Trend Detection :
• Green MA = bullish trend
• Red MA = bearish trend
• Blue MA = no trend / ranging market
Entry Signals :
• Green triangle = trend strength crossed above +Threshold → potential bullish entry
• Red triangle = trend strength crossed below -Threshold → potential bearish entry
█ Settings
Entry Threshold : Level at which the trend strength triggers entry signals (default: 60)
Process Noise 1 & 2 : Control the filter’s responsiveness to recent price action. Higher = more reactive; lower = smoother.
Measurement Noise : Sets how much the filter "trusts" price data. High = smoother MA, low = faster response but more noise.
Trend Lookback (N2) : Number of bars used to normalize trend strength. Lower = more sensitive; higher = more stable.
Trend Smoothness (R2) : WMA smoothing applied to the trend strength calculation.
█ Visual Guide
Green MA Line → Bullish trend
Red MA Line → Bearish trend
Blue MA Line → Sideways/range
Green Triangle → Entry signal (trend strengthening)
Red Triangle → Entry signal (trend weakening)
█ Best Practices
In high-volatility conditions, increase Measurement Noise to reduce false signals.
Combine with other indicators (e.g., RSI, MACD, EMA) for confirmation and filtering.
Adjust "Entry Threshold" and noise settings depending on your timeframe and trading style.
❗ Disclaimer
This script is provided for educational purposes only and should not be considered financial advice or a recommendation to buy/sell any asset.
Trading involves risk. Past performance does not guarantee future results.
Always perform your own analysis and use proper risk management when trading.
Uptrick: Z-Trend BandsOverview
Uptrick: Z-Trend Bands is a Pine Script overlay crafted to capture high-probability mean-reversion opportunities. It dynamically plots upper and lower statistical bands around an EMA baseline by converting price deviations into z-scores. Once price moves outside these bands and then reenters, the indicator verifies that momentum is genuinely reversing via an EMA-smoothed RSI slope. Signal memory ensures only one entry per momentum swing, and traders receive clear, real-time feedback through customizable bar-coloring modes, a semi-transparent fill highlighting the statistical zone, concise “Up”/“Down” labels, and a live five-metric scoring table.
Introduction
Markets often oscillate between trending and reverting, and simple thresholds or static envelopes frequently misfire when volatility shifts. Standard deviation quantifies how “wide” recent price moves have been, and a z-score transforms each deviation into a measure of how rare it is relative to its own history. By anchoring these bands to an exponential moving average, the script maintains a fluid statistical envelope that adapts instantly to both calm and turbulent regimes. Meanwhile, the Relative Strength Index (RSI) tracks momentum; smoothing RSI with an EMA and observing its slope filters out erratic spikes, ensuring that only genuine momentum flips—upward for longs and downward for shorts—qualify.
Purpose
This indicator is purpose-built for short-term mean-reversion traders operating on lower–timeframe charts. It reveals when price has strayed into the outer 5 percent of its recent range, signaling an increased likelihood of a bounce back toward fair value. Rather than firing on price alone, it demands that momentum follow suit: the smoothed RSI slope must flip in the opposite direction before any trade marker appears. This dual-filter approach dramatically reduces noise-driven, false setups. Traders then see immediate visual confirmation—bar colors that reflect the latest signal and age over time, clear entry labels, and an always-visible table of metric scores—so they can gauge both the validity and freshness of each signal at a glance.
Originality and Uniqueness
Uptrick: Z-Trend Bands stands apart from typical envelope or oscillator tools in four key ways. First, it employs fully normalized z-score bands, meaning ±2 always captures roughly the top and bottom 5 percent of moves, regardless of volatility regime. Second, it insists on two simultaneous conditions—price reentry into the bands and a confirming RSI slope flip—dramatically reducing whipsaw signals. Third, it uses slope-phase memory to lock out duplicate signals until momentum truly reverses again, enforcing disciplined entries. Finally, it offers four distinct bar-coloring schemes (solid reversal, fading reversal, exceeding bands, and classic heatmap) plus a dynamic scoring table, rather than a single, opaque alert, giving traders deep insight into every layer of analysis.
Why Each Component Was Picked
The EMA baseline was chosen for its blend of responsiveness—weighting recent price heavily—and smoothness, which filters market noise. Z-score deviation bands standardize price extremes relative to their own history, adapting automatically to shifting volatility so that “extreme” always means statistically rare. The RSI, smoothed with an EMA before slope calculation, captures true momentum shifts without the false spikes that raw RSI often produces. Slope-phase memory flags prevent repeated alerts within a single swing, curbing over-trading in choppy conditions. Bar-coloring modes provide flexible visual contexts—whether you prefer to track the latest reversal, see signal age, highlight every breakout, or view a continuous gradient—and the scoring table breaks down all five core checks for complete transparency.
Features
This indicator offers a suite of configurable visual and logical tools designed to make reversal signals both robust and transparent:
Dynamic z-score bands that expand or contract in real time to reflect current volatility regimes, ensuring the outer ±zThreshold levels always represent statistically rare extremes.
A smooth EMA baseline that weights recent price more heavily, serving as a fair-value anchor around which deviations are measured.
EMA-smoothed RSI slope confirmation, which filters out erratic momentum spikes by first smoothing raw RSI and then requiring its bar-to-bar slope to flip before any signal is allowed.
Slope-phase memory logic that locks out duplicate buy or sell markers until the RSI slope crosses back through zero, preventing over-trading during choppy swings.
Four distinct bar-coloring modes—Reversal Solid, Reversal Fade, Exceeding Bands, Classic Heat—plus a “None” option, so traders can choose whether to highlight the latest signal, show signal age, emphasize breakout bars, or view a continuous heat gradient within the bands.
A semi-transparent fill between the EMA and the upper/lower bands that visually frames the statistical zone and makes extremes immediately obvious.
Concise “Up” and “Down” labels that plot exactly when price re-enters a band with confirming momentum, keeping chart clutter to a minimum.
A real-time, five-metric scoring table (z-score, RSI slope, price vs. EMA, trend state, re-entry) that updates every two bars, displaying individual +1/–1/0 scores and an averaged Buy/Sell/Neutral verdict for complete transparency.
Calculations
Compute the fair-value EMA over fairLen bars.
Subtract that EMA from current price each bar to derive the raw deviation.
Over zLen bars, calculate the rolling mean and standard deviation of those deviations.
Convert each deviation into a z-score by subtracting the mean and dividing by the standard deviation.
Plot the upper and lower bands at ±zThreshold × standard deviation around the EMA.
Calculate raw RSI over rsiLen bars, then smooth it with an EMA of length rsiEmaLen.
Derive the RSI slope by taking the difference between the current and previous smoothed RSI.
Detect a potential reentry when price exits one of the bands on the prior bar and re-enters on the current bar.
Require that reentry coincide with an RSI slope flip (positive for a lower-band reentry, negative for an upper-band reentry).
On first valid reentry per momentum swing, fire a buy or sell signal and set a memory flag; reset that flag only when the RSI slope crosses back through zero.
For each bar, assign scores of +1, –1, or 0 for the z-score direction, RSI slope, price vs. EMA, trend-state, and reentry status.
Average those five scores; if the result exceeds +0.1, label “Buy,” if below –0.1, label “Sell,” otherwise “Neutral.”
Update bar colors, the semi-transparent fill, reversal labels, and the scoring table every two bars to reflect the latest calculations.
How It Actually Works
On each new candle, the EMA baseline and band widths update to reflect current volatility. The RSI is smoothed and its slope recalculated. The script then looks back one bar to see if price exited either band and forward to see if it reentered. If that reentry coincides with an appropriate RSI slope flip—and no signal has yet been generated in that swing—a concise label appears. Bar colors refresh according to your selected mode, and the scoring table updates to show which of the five conditions passed or failed, along with the overall verdict. This process repeats seamlessly at each bar, giving traders a continuous feed of disciplined, statistically filtered reversal cues.
Inputs
All parameters are fully user-configurable, allowing you to tailor sensitivity, lookbacks, and visuals to your trading style:
EMA length (fairLen): number of bars for the fair-value EMA; higher values smooth more but lag further behind price.
Z-Score lookback (zLen): window for calculating the mean and standard deviation of price deviations; longer lookbacks reduce noise but respond more slowly to new volatility.
Z-Score threshold (zThreshold): number of standard deviations defining the upper and lower bands; common default is 2.0 for roughly the outer 5 percent of moves.
Source (src): choice of price series (close, hl2, etc.) used for EMA, deviation, and RSI calculations.
RSI length (rsiLen): period for raw RSI calculation; shorter values react faster to momentum changes but can be choppier.
RSI EMA length (rsiEmaLen): period for smoothing raw RSI before taking its slope; higher values filter more noise.
Bar coloring mode (colorMode): select from None, Reversal Solid, Reversal Fade, Exceeding Bands, or Classic Heat to control how bars are shaded in relation to signals and band positions.
Show signals (showSignals): toggle on-chart “Up” and “Down” labels for reversal entries.
Show scoring table (enableTable): toggle the display of the five-metric breakdown table.
Table position (tablePos): choose which corner (Top Left, Top Right, Bottom Left, Bottom Right) hosts the scoring table.
Conclusion
By merging a normalized z-score framework, momentum slope confirmation, disciplined signal memory, flexible visuals, and transparent scoring into one Pine Script overlay, Uptrick: Z-Trend Bands offers a powerful yet intuitive tool for intraday mean-reversion trading. Its adaptability to real-time volatility and multi-layered filter logic deliver clear, high-confidence reversal cues without the clutter or confusion of simpler indicators.
Disclaimer
This indicator is provided solely for educational and informational purposes. It does not constitute financial advice. Trading involves substantial risk and may not be suitable for all investors. Past performance is not indicative of future results. Always conduct your own testing and apply careful risk management before trading live.
Visually Layered OscillatorVisually Layered Oscillator User's Manual
Visually Layered Oscillator is a multi-oscillator designed to provide an intuitive visualization of RSI, MACD, ADX + DMI, allowing traders to interpret multiple signals at a glance.
It is designed to allow comparison within the same panel while maintaining the inherent meaning of each oscillator and compensating for visual distortion issues caused by size differences.
Component Overview
Item Description
RSI (x10) Displays relative buy/sell strength. Values above 70 are overbought; values below 30 are oversold.
MACD (3,16,10) Momentum indicator showing the difference between moving averages. Consists of lines and histograms
ADX ×50 + DMI Indicates the strength of the trend; ADX determines the strength of the trend and DMI determines whether it is buy/sell dominant.
White background color treatment Removes difficult-to-see grid lines to improve visibility.
🖥️ Screen Example
The panel is divided into the following three layers
mathematica
Copy
Edit
Top: ⬆️ RSI (purple)
Middle: 📈 MACD, Signal, Histogram + Color Fill
Bottom: 📉 ADX × 50, DMI+ / DMI- (Red, Blue, Orange)
TIP: If you zoom in on the indicators at a larger scale, you can see that each indicator is drawn at a different height level and placed in such a way that they do not overlap.
⚙️ Settings
Fast Length: MACD Quick Line Duration (Basic 3)
Slow Length: MACD slow line period (basic 16)
Smoothing: Signal line smoothing value (basic 10)
Notes and Tips
RSI × 10 and ADX × 50 are for visualization purposes only multiplied by multiples of the actual values. It does not affect the calculation and maintains the original RSI/ADX characteristics.
The MACD fill color visually highlights crossing conditions.
The background is treated in full white, making the indicator look clean without grid lines.
ScalpZone NQ 1M - Volume Signals with Highlight Box📊 ScalpZone NQ 1M - Volume Signals with Highlight Box
ScalpZone is a professional-grade indicator designed specifically for 1-minute scalping on Nasdaq Futures (NQ), focusing on high-volume price action zones. It automatically detects aggressive buying/selling activity based on volume spikes and visualizes potential entry zones with dynamic horizontal lines and price boxes.
🔍 Key Features:
Volume Spike Detection: Identifies high-volume candles using an adjustable EMA-based volume threshold.
Directional Volume Signals: Highlights candles with directional momentum (bullish or bearish) based on real-time volume dominance.
Scalp Zone Visualization:
Draws horizontal support/resistance lines at volume signal prices.
Renders price boxes around those levels to highlight actionable zones.
Zones automatically extend when respected by price, and disappear when invalidated.
Visual Candle Enhancement: Dynamically colors candles to reflect normalized volume intensity and direction.
Customizable Parameters:
Volume EMA & threshold multiplier
Line and box dimensions
Toggle zone visibility
🛠️ Use Case:
Perfect for scalpers and short-term traders looking to exploit volume-based reversals or breakout traps on the NQ 1-minute chart. Traders can use the visual cues to time entries, manage stops, or validate confluence with other tools (e.g., order flow, delta spikes, or footprint charts).
EMA 200 Price Deviation Alerts (1H Only)This script monitors the price deviation from the 200-period Exponential Moving Average (EMA) exclusively on the 1-hour chart. It generates alerts when the absolute difference between the current price and the EMA 200 exceeds a user-defined threshold (default: 65).
Features:
Works only on 1-hour (60-minute) charts to avoid false signals on other timeframes.
Customizable deviation threshold via script input.
Visual display of the 200 EMA on the chart.
Alert system to notify when price deviates significantly above or below the EMA.
Buy/Sell arrows shown when conditions are met:
Sell arrow appears when price is above the EMA and deviation exceeds threshold.
Buy arrow appears when price is below the EMA and deviation exceeds threshold.
Use this tool to identify potential overextended price moves relative to long-term trend support or resistance on the 1H timeframe.
magic wand STSM"Magic Wand STSM" Strategy: Trend-Following with Dynamic Risk Management
Overview:
The "Magic Wand STSM" (Supertrend & SMA Momentum) is an automated trading strategy designed to identify and capitalize on sustained trends in the market. It combines a multi-timeframe Supertrend for trend direction and potential reversal signals, along with a 200-period Simple Moving Average (SMA) for overall market bias. A key feature of this strategy is its dynamic position sizing based on a user-defined risk percentage per trade, and a built-in daily and monthly profit/loss tracking system to manage overall exposure and prevent overtrading.
How it Works (Underlying Concepts):
Multi-Timeframe Trend Confirmation (Supertrend):
The strategy uses two Supertrend indicators: one on the current chart timeframe and another on a higher timeframe (e.g., if your chart is 5-minute, the higher timeframe Supertrend might be 15-minute).
Trend Identification: The Supertrend's direction output is crucial. A negative direction indicates a bearish trend (price below Supertrend), while a positive direction indicates a bullish trend (price above Supertrend).
Confirmation: A core principle is that trades are only considered when the Supertrend on both the current and the higher timeframe align in the same direction. This helps to filter out noise and focus on stronger, more confirmed trends. For example, for a long trade, both Supertrends must be indicating a bearish trend (price below Supertrend line, implying an uptrend context where price is expected to stay above/rebound from Supertrend). Similarly, for short trades, both must be indicating a bullish trend (price above Supertrend line, implying a downtrend context where price is expected to stay below/retest Supertrend).
Trend "Readiness": The strategy specifically looks for situations where the Supertrend has been stable for a few bars (checking barssince the last direction change).
Long-Term Market Bias (200 SMA):
A 200-period Simple Moving Average is plotted on the chart.
Filter: For long trades, the price must be above the 200 SMA, confirming an overall bullish bias. For short trades, the price must be below the 200 SMA, confirming an overall bearish bias. This acts as a macro filter, ensuring trades are taken in alignment with the broader market direction.
"Lowest/Highest Value" Pullback Entries:
The strategy employs custom functions (LowestValueAndBar, HighestValueAndBar) to identify specific price action within the recent trend:
For Long Entries: It looks for a "buy ready" condition where the price has found a recent lowest point within a specific number of bars since the Supertrend turned bearish (indicating an uptrend). This suggests a potential pullback or consolidation before continuation. The entry trigger is a close above the open of this identified lowest bar, and also above the current bar's open.
For Short Entries: It looks for a "sell ready" condition where the price has found a recent highest point within a specific number of bars since the Supertrend turned bullish (indicating a downtrend). This suggests a potential rally or consolidation before continuation downwards. The entry trigger is a close below the open of this identified highest bar, and also below the current bar's open.
Candle Confirmation: The strategy also incorporates a check on the candle type at the "lowest/highest value" bar (e.g., closevalue_b < openvalue_b for buy signals, meaning a bearish candle at the low, suggesting a potential reversal before a buy).
Risk Management and Position Sizing:
Dynamic Lot Sizing: The lotsvalue function calculates the appropriate position size based on your Your Equity input, the Risk to Reward ratio, and your risk percentage for your balance % input. This ensures that the capital risked per trade remains consistent as a percentage of your equity, regardless of the instrument's volatility or price. The stop loss distance is directly used in this calculation.
Fixed Risk Reward: All trades are entered with a predefined Risk to Reward ratio (default 2.0). This means for every unit of risk (stop loss distance), the target profit is rr times that distance.
Daily and Monthly Performance Monitoring:
The strategy tracks todaysWins, todaysLosses, and res (daily net result) in real-time.
A "daily profit target" is implemented (day_profit): If the daily net result is very favorable (e.g., res >= 4 with todaysLosses >= 2 or todaysWins + todaysLosses >= 8), the strategy may temporarily halt trading for the remainder of the session to "lock in" profits and prevent overtrading during volatile periods.
A "monthly stop-out" (monthly_trade) is implemented: If the lres (overall net result from all closed trades) falls below a certain threshold (e.g., -12), the strategy will stop trading for a set period (one week in this case) to protect capital during prolonged drawdowns.
Trade Execution:
Entry Triggers: Trades are entered when all buy/sell conditions (Supertrend alignment, SMA filter, "buy/sell situation" candle confirmation, and risk management checks) are met, and there are no open positions.
Stop Loss and Take Profit:
Stop Loss: The stop loss is dynamically placed at the upTrendValue for long trades and downTrendValue for short trades. These values are derived from the Supertrend indicator, which naturally adjusts to market volatility.
Take Profit: The take profit is calculated based on the entry price, the stop loss, and the Risk to Reward ratio (rr).
Position Locks: lock_long and lock_short variables prevent immediate re-entry into the same direction once a trade is initiated, or after a trend reversal based on Supertrend changes.
Visual Elements:
The 200 SMA is plotted in yellow.
Entry, Stop Loss, and Take Profit lines are plotted in white, red, and green respectively when a trade is active, with shaded areas between them to visually represent risk and reward.
Diamond shapes are plotted at the bottom of the chart (green for potential buy signals, red for potential sell signals) to visually indicate when the buy_sit or sell_sit conditions are met, along with other key filters.
A comprehensive trade statistics table is displayed on the chart, showing daily wins/losses, daily profit, total deals, and overall profit/loss.
A background color indicates the active trading session.
Ideal Usage:
This strategy is best applied to instruments with clear trends and sufficient liquidity. Users should carefully adjust the Your Equity, Risk to Reward, and risk percentage inputs to align with their individual risk tolerance and capital. Experimentation with different ATR Length and Factor values for the Supertrend might be beneficial depending on the asset and timeframe.
SpeedBullish Strategy Confirm V6.2SpeedBullish Strategy Confirm V6.2
SpeedBullish V6.2 is an advanced price-action + indicator-based strategy designed to confirm trend strength and signal entries with high precision. This version builds on the W/M pattern structure and adds dynamic filtering with EMA, MACD Histogram, RSI, ATR, and Volume.
✅ Signal Conditions
🔹 Buy Signal:
Price above EMA10 or EMA15
MACD Histogram crosses above 0
RSI > 50
(Optional) Higher low via Pivot Low
(Optional) ATR > ATR SMA * Multiplier
(Optional) Volume > SMA * Multiplier
🔻 Sell Signal:
Price below EMA10 or EMA15
MACD Histogram crosses below 0
RSI < 50
(Optional) Lower high via Pivot High
(Optional) Confirmed high volatility and volume
⚙️ Strategy Features
MACD Histogram for momentum shift detection
RSI filtering for momentum confirmation
EMA10/15 for trend direction
ATR-based volatility filter
Volume confirmation filter
Dynamic TP/SL + Trailing Stop
Webhook Integration for MT5 auto-trade
Visual signal markers + background highlight
🔔 Alerts
Alerts are sent in JSON format via alert() with the current symbol, action (buy/sell), and price. Webhook endpoint and secret key are configurable.
📈 How to Use
Attach the strategy to any symbol and timeframe
Customize filters and confirmations to fit your market conditions
Enable webhook alerts for integration with your MT5 Expert Advisor or trading bot
Backtest and optimize before live deployment
