TrendScopeTrendScope is a custom-built, multi-factor trading tool designed to identify high-probability market entries and exits using a combination of trend structure, volume dynamics, and momentum behavior. Unlike traditional oscillators, it does not rely on bounded cyclical formulas but instead analyzes real-time price-volume relationships and trend integrity.
🔍 Key Features
EMA Confluence Analysis: Detects trend strength and alignment across EMAs from 5 to 800 periods.
Volume Spike Detection: Flags significant increases in trading volume following periods of stagnation—useful for breakout confirmation.
Order Flow Momentum: Measures buying vs. selling pressure based on volume-weighted price action, signaling directional conviction.
Reversal Alerts: Identifies divergences between price and momentum (e.g., volume-based net flow), warning of potential trend shifts.
Clean Visual Markers: BUY/SELL labels, directional volume spikes, and a trend strength table for clarity in execution.
⏱️ Best Used On
Timeframes: 4H, 8H, 12H, 1D (Daily)
Style: Swing trading, trend trading, and momentum-based entries
Markets: Crypto, Forex, Commodities, and Indices (works well on liquid assets with healthy volume)
This indicator is especially useful for traders who want directional confirmation during trending conditions and a visual edge for spotting volume-driven breakouts or early-stage reversals.
I made this for my own benefit since I didn't really find any non-paid options out there that work in a similar fashion and I wanted to keep it simple and was inspired by Delorean Trading Indicators.
Disclaimer: Just wanna throw this out there...please never use this as a standalone indicator and combine it with your own analysis to detect market behaviour and structure! Don't rely on any indicators to form your own pov of probable market moves. You have been warned.
Cerca negli script per "swing trading"
DDDDD: SMI Quad Sync📄DDDDD: SMI Quad Sync
A multi-timeframe momentum synchronization indicator using 4 Stochastic Oscillators with different lengths (9, 14, 40, 60) to detect collective oversold and overbought zones.
✅ Key Features:
Plots 4 stochastic lines with vertical offsets for better visual separation.
Generates a Long Signal (green square) when all 4 stochastics are below the oversold level.
Generates a Short Signal (red square) when all 4 stochastics are above the overbought level.
Use signals to confirm multi-timeframe momentum alignment or exhaustion.
🎯 How to Use:
Look for green square → potential LONG entry: signals multi-timeframe oversold condition.
Look for red square → potential SHORT entry: signals multi-timeframe overbought condition.
Combine with trend analysis, price action, or other confirmation for optimal entries.
📝 Notes:
The plotted stochastic lines are visually shifted (offset) for clarity; signals are computed from raw, unshifted values.
Designed for traders who prefer confluence across different stochastic lookback periods to improve confidence.
👉 Ideal for scalping, swing trading, or as a momentum filter in broader strategies.
Daily ATR Bonanza: Expected Moves - Tr33man Daily ATR Bonanza: Expected Moves
Overview 🤷♂️
The Daily ATR Bonanza script is a powerful trading tool designed to help traders visualize and understand potential price movements using the Average True Range (ATR). It provides daily and weekly ATR levels, historical statistics, and conditional probability analysis to give traders actionable insights. The script also plots the daily Keltner channel. This script is ideal for traders who want to gauge volatility, identify key levels, and make data-driven decisions.
b]Key Features:
📈 1. Daily and Weekly ATR Levels
🔵ATR Levels: The script calculates and displays ATR-based levels for the day and week. These levels are derived from the previous day's or week's close price and are adjusted using customizable multipliers (0.5x, 1x, and 1.5x by default).
🔵You can choose the number of ATR levels (1, 2, or 3) and adjust the multipliers to suit your trading strategy.
🌐 2. ATR Bands (Keltner Channels)
🔵The script includes an option to display ATR Bands, which are volatility-based envelopes around a moving average. These bands help identify overbought and oversold conditions.
🔵You can adjust the ATR multiplier and the length of the moving average used for the bands.
🧮 3. Historical Statistics and Conditional Probability
🔵 Historical Analysis: The script analyzes historical price movements to calculate the likelihood of closing at certain ATR levels.
🔵 Conditional Probability: This feature shows the probability of the price reaching specific ATR levels given the current market conditions. The conditional matches historical data by an open in the same opening ATR bucket, as well as the current price bucket having been visited in the historical case. Conditional probabilities are just statistics, and do not predict anything.
Data Table: 📚
🔵 Historical Close Probability: The percentage of days the price closed within each ATR level.
🔵 Conditional Close Probability: The likelihood of the price closing within each ATR level today.
❓ What is Conditional Probability? ❓
Conditional probability is a statistical measure that calculates the likelihood of an event occurring given that another event has already occurred. In this script, it is used to determine the probability of the price reaching specific ATR levels based on the current opening range as well as current ATR distance from the previous close.
For example:
If the market opens near the lower end of the first ATR level, the script calculates the likelihood of the price reaching the upper end of the first, second, or third ATR level.
This analysis is based on historical data, making it a powerful tool for understanding potential price movements.
🌟 Understanding the Levels
🔵Daily Levels: These are based on the previous day's close price and ATR. They are updated at the start of each new day.
🔵Weekly Levels: These are based on the previous week's close price and ATR. They are updated at the start of each new week.
🔵ATR Bands: These are dynamic levels that adjust with market volatility.
🔬 Analyze the Statistics (Daily only for now, no weekly yet)
🔵Use the interactive table to understand historical probabilities and conditional probabilities.
🔵Focus on the current opening range and the likelihood of reaching specific levels.
🧠 Make Trading Decisions
🔵Use the ATR levels and bands to identify key support and resistance levels.
🔵Use the conditional probability table to gauge the likelihood of reaching specific targets.
🔵Adjust your strategy based on the historical performance of the market.
Example Use Cases
1. Day Trading
Use the daily ATR levels to set intraday targets and stop-loss levels.
Monitor the conditional probability table to adjust your expectations based on the opening range.
2. Swing Trading
Use the weekly ATR levels to identify longer-term support and resistance levels.
3. Scalping
Use the ATR bands to identify overbought and oversold conditions.
Use the conditional probability table to quickly assess the likelihood of price movements.
London/NY Sessions + SMC Levels📜 Indicator Description: London/NY Sessions + SMC Levels
Overview: This indicator highlights the key trading sessions — London, New York, NY Lunch, and Asian Range — providing structured visual guides based on Smart Money Concepts (SMC) and ICT principles.
It dynamically plots:
Session Backgrounds and Boxes for London, NY, Lunch, and Asian sessions
Reference Levels for the High, Low, and Close from today, previous day, or weekly data
Midnight Open line for ICT-style power of three setups
Real-time alerts for session starts, session closes, and important price level crossings
Features:
🕰️ Session Visualization:
Toggle London, NY, Lunch, and Asian session ranges individually, with customizable colors and transparent backgrounds.
🔔 Built-in Alerts:
Alerts for:
Price crossing the previous day's high/low
Price crossing the Midnight Open
Start and end of major sessions (London, NY, Lunch, Asian)
🟩 Reference Levels:
Plot selectable session reference levels:
Today’s intraday High/Low/Close
Previous Day’s High/Low/Close
This Week’s or Previous Week’s levels for broader context.
🌙 Midnight Open:
Track the Midnight New York Open as a reference point for daily bias shifts.
🎯 Customizable Settings:
Choose your session time zones (UTC, New York, London, etc.)
Customize all border colors, background colors, and session hours.
Use Cases:
Identify killzones and optimal trade entry windows for Smart Money Concepts (SMC) and ICT strategies.
Monitor liquidity pool sweeps and session transitions.
Confirm or refine your intraday or swing trading setups by referencing session highs/lows.
Recommended For:
ICT traders
Smart Money Concepts (SMC) practitioners
Forex, indices, crypto, and futures traders focusing on session-based volatility patterns
Anyone wanting a clean, professional session mapping tool
📈
Designed to help you trade with session precision and Smart Money accuracy.
Integrates seamlessly into any ICT, Wyckoff, or Liquidity-based trading approach.
[blackcat] L2 EMA NexusOVERVIEW
The L2 EMA Nexus is a comprehensive trading indicator that utilizes a three-tiered Exponential Moving Average (EMA) system to identify potential trading opportunities. This script combines technical analysis with robust risk management features to help traders make informed decisions.
KEY FEATURES
• Triple EMA Analysis:
Customizable source inputs for each EMA
Adjustable length parameters (3, 8, 21 periods)
Dynamic color coding based on trend direction
Real-time price action monitoring
• Advanced Entry Signals:
High-low price action verification
EMA cross-overs and cross-unders
Multi-timeframe trend confirmation
Dynamic position sizing limits
• Risk Management:
Configurable Take Profit levels
Flexible Stop Loss settings
Optional TP/SL activation
Clear visual indicators for levels
HOW TO USE
Setup Initial Parameters:
Configure EMA lengths for your timeframe
Set Take Profit percentage (default 25%)
Define Stop Loss percentage (default 2.5%)
Adjust pyramiding limit as needed
Enable/Disable Features:
Toggle TP/SL settings based on strategy
Customize alert conditions
Modify visual labels for clarity
Monitor Trading Signals:
Watch for buy/sell labels
Track TP/SL levels
Monitor position status
TRADE MANAGEMENT
• Entry Conditions:
Long Entry: Higher high with rising EMA1 and stable EMA3
Short Entry: Lower low with falling EMA1 and stable EMA2
• Exit Conditions:
Take Profit: Price reaches defined percentage above/below entry
Stop Loss: Price reaches defined percentage below/above entry
• Position Control:
Limited to specified number of positions
Automatic position tracking
Clear visual indication of current trades
TECHNICAL DETAILS
• EMA Calculation:
Uses Exponential Moving Average for trend following
Color-coded based on 2-bar trend direction
Multiple timeframe compatibility
• Label System:
Clear buy/sell markers
Take Profit and Stop Loss indicators
Real-time position status updates
• Alert Configuration:
Customizable alert messages
Multiple alert conditions
Option to enable/disable specific alerts
LIMITATIONS
⚠️ Important Considerations:
Results may vary across different market conditions
Historical performance does not guarantee future results
Always backtest strategy before live trading
Consider complementing with additional analysis tools
BEST PRACTICES
• Recommended Timeframes:
Daily charts for long-term strategies
4-hour charts for swing trading
1-hour charts for short-term trading
• Risk Management Tips:
Start with small position sizes
Always use TP/SL in live trading
Monitor market volatility before entering trades
TROUBLESHOOTING
• Common Issues:
Ensure proper chart resolution
Verify alert conditions are enabled
Check for conflicting indicators
• Performance Optimization:
Use appropriate timeframe for your strategy
Adjust indicator parameters based on market conditions
Monitor for potential overfitting
[blackcat] L3 Hull SeekerOVERVIEW
The L3 Hull Seeker is a comprehensive trading indicator that combines Hull Moving Average (HMA) analysis with robust position management and risk control features. This script is designed to help traders identify potential entry and exit points while maintaining strict risk management protocols.
KEY FEATURES
• Hull MA Analysis:
Advanced Hull Moving Average calculations
Separate Hull MA lines for Close and Open prices
Visual color coding for trend direction
Customizable length parameter for flexibility
• Position Tracking:
Real-time monitoring of long and short positions
Maximum position limit control
Clear position status indicators on chart
• Risk Management System:
User-defined Take Profit percentage
User-defined Stop Loss percentage
Optional activation of TP/SL features
Dynamic label markers for important levels
• Alert System:
Buy/Sell entry alerts
Take Profit/Stop Loss exit alerts
Position status changes
HOW TO USE
Setup Initial Parameters:
Hull MA Length: Adjust based on your trading timeframe
Take Profit Percentage: Set according to your risk tolerance
Stop Loss Percentage: Define your maximum acceptable loss
Enable/Disable Features:
Toggle Take Profit/Stop Loss options as needed
Adjust alert conditions for your trading style
Monitor Trading Signals:
Watch for crossover/crossunder signals
Track position status through labels
Monitor entry and exit alerts
Manage Risk:
Use TP/SL features to control position size
Monitor pyramiding limits
Review position status regularly
TRADE MANAGEMENT
• Entry Conditions:
Long Entry: HullMA_close crosses above HullMA_open
Short Entry: HullMA_close crosses below HullMA_open
• Exit Conditions:
Take Profit: Price reaches defined percentage above/below entry
Stop Loss: Price reaches defined percentage below/above entry
• Position Control:
Limited to one position at a time
Automatic position tracking
Clear visual indication of current trades
TECHNICAL DETAILS
• Hull MA Calculation:
Uses WMA (Weighted Moving Average) for precise calculations
Optimized for trend-following strategies
Smoothed Hull MA lines for better readability
• Label System:
Clear buy/sell markers
Take Profit and Stop Loss indicators
Real-time position status updates
• Alert Configuration:
Customizable alert messages
Multiple alert conditions
Option to enable/disable specific alerts
LIMITATIONS
⚠️ Important Considerations:
Results may vary across different market conditions
Historical performance does not guarantee future results
Always backtest strategy before live trading
Consider complementing with additional analysis tools
BEST PRACTICES
• Recommended Timeframes:
Daily charts for long-term strategies
4-hour charts for swing trading
1-hour charts for short-term trading
• Risk Management Tips:
Start with small position sizes
Always use TP/SL in live trading
Monitor market volatility before entering trades
TROUBLESHOOTING
• Common Issues:
Ensure proper chart resolution
Verify alert conditions are enabled
Check for conflicting indicators
• Performance Optimization:
Use appropriate timeframe for your strategy
Adjust indicator parameters based on market conditions
Monitor for potential overfitting
Another EMA trend indicator"Another EMA Trend Indicator" is a dynamic trend-following tool. Blending customizable Moving Averages (EMA or SMA) with an automated, visualized trade management system. It identifies bullish and bearish trend shifts based on short- and long-term MA crossovers, dynamically calculates optimal entry points, stop-losses, and take-profits, and visually manages trades on the chart with optional clouds, lines, and labels.
Main Features:
Moving Average Trend Detection:
Choice between EMA (Exponential Moving Average) or SMA (Simple Moving Average).
Two customizable lengths: a short MA and a long MA.
Detects bullish and bearish switches based on MA crossover events.
Entry, SL, and TP Calculation:
Entries are calculated dynamically after a signal using a combination of historical candle high/low analysis and a risk divider.
Stop-loss and take-profit levels are automatically set based on the trend's recent volatility and user-defined risk parameters.
Supports fixed or dynamic profit targets.
Risk Management Settings:
Define minimum and maximum acceptable profit percentages.
Set maximum stop-loss distance and apply a stop-loss multiplier for added flexibility.
Limit maximum trade duration to avoid endless open trades.
Trade Visualization:
Optional debug mode to display:
Entry, stop-loss, and take-profit lines.
Buy/sell signals via shapes on the chart.
Trend cloud between short and long MAs.
Historical trend levels for better visualization.
Dynamic Statistics Panel:
Real-time display of:
First trade date.
Total number of trades.
Number of profitable and losing trades.
Average and maximum trade duration.
Win rate and average profit/loss percentages.
Inputs:
MA Type: Choose between "EMA" or "SMA."
Short/Long MA Length: Customize lengths to control sensitivity.
Source: Apply to typical price values like hl2.
Risk Settings:
Minimum, maximum, and fixed profit percentages.
Stop-loss settings and risk dividers.
Trade Behavior Settings:
Max trade length.
Visualization Toggles:
Show/hide debug labels, lines, clouds.
Use Case:
This indicator is ideal for trend-following traders who prefer a semi-automated trading framework. It helps maintain consistency in entries and exits while visualizing important trend dynamics and trade health directly on the chart.
Best suited for swing trading crypto coins.
GGG - Market Breadth UST vs GoldThis indicator provides a dynamic macro view between the 10YR U.S. Treasury future market and Gold prices. It combines bond market momentum with gold technical trend confirmation to enhance trading decision-making.
Recommended Timeframes: Suitable for intraday to swing trading setups (e.g., 15-minutes, 1-hour, 4-hour).
Notes:
REMARK: This indicator is designed as a macro filter or confirmation tool. It is highly recommended to use in conjunction with your preferred entry/exit techniques for optimal performance.
Momentum Wave Oscillator📈 Momentum Wave Oscillator (MWO) 📈
The Momentum Wave Oscillator (MWO) is a precision-designed tool for traders who want early, reliable insight into market shifts — before they fully appear on price charts.
Instead of reacting late to moves, MWO is engineered to anticipate changes in momentum by tracking market pressure within a dynamic range.
Its built-in bands and visual cues make it simple to spot key moments where momentum exhaustion, reversals, or fresh breakouts are most likely to occur.
How to Use:
Buy Zones: When the oscillator moves up from lower regions (typically below 20), it may indicate momentum building to the upside.
Sell Zones: When the oscillator moves down from upper regions (typically above 80), it may suggest momentum starting to weaken.
Dynamic Bands:
Unlike conventional fixed levels like 20 and 80, MWO features dynamic adaptive bands that better reflect real-time changes in market behavior.
Markets are fluid — volatility and momentum strength vary from cycle to cycle. Static zones can miss important shifts or produce false signals.
The dynamic bands allow the indicator to adapt naturally to changing conditions, offering more precise context for overbought, oversold, or breakout environments.
Background Colors and Labels:
Automatic highlights appear when potential turning points are detected, allowing traders to act quickly without chart clutter.
Best Practices:
Use the MWO as a confirmation tool alongside your existing strategy (trendlines, support/resistance, volume spikes, etc.).
Look for agreement between the MWO and price action for higher probability entries.
Avoid relying on it in isolation during extremely low-volume periods, where momentum may appear artificially weak or strong.
Adjust sensitivity settings depending on your trading style (scalping vs swing trading).
Important Note:
The MWO is designed for educational and informational purposes. No indicator can predict the future with certainty. Always combine it with proper risk management and your personal trading plan.
Institutional Composite Moving Average (ICMA) [Volume Vigilante]Institutional Composite Moving Average (ICMA)
The Next Evolution of Moving Averages — Built for Real Traders.
ICMA blends the strength of four powerful averages (SMA, EMA, WMA, HMA) into a single ultra-responsive, ultra-smooth signal.
It reacts faster than traditional MAs while filtering out noise, giving you clean trend direction with minimal lag.
🔹 Key Features:
• Faster reaction than SMA, EMA, or WMA individually
• Smoother and more stable than raw HMA
• Naturally adapts across trend, momentum, and consolidation conditions
• Zero gimmicks. Zero repainting. Full institutional quality.
🔹 Designed For:
• Scalping
• Swing trading
• Signal engines
• Algorithmic systems
📎 How to Use:
• Overlay it on any chart
• Fine-tune the length per timeframe
• Combine with your entries/exits for maximum edge
Created by Volume Vigilante 🧬 — Delivering Real-World Trading Tools.
Smart Market Matrix Smart Market Matrix
This indicator is designed for intraday, scalping, providing automated detection of price pivots, liquidity traps, and breakout confirmations, along with a context dashboard featuring volatility, trend, and volume.
## Summary Description
### Menu Settings & Their Roles
- **Swing Pivot Strength**: Controls the sensitivity for detecting High/Low pivots.
- **Show Pivot Points**: Toggles the display of HH/LL markers on the chart.
- **VWMA Length for Trap Volume** & **Volume Spike Multiplier**: Identify concentrated volume spikes for liquidity traps.
- **Wick Ratio Threshold** & **Max Body Size Ratio**: Detect candles with disproportionate wicks and small bodies (doji-ish) for traps.
- **ATR Length for Trap**: Measures volatility specific to trap detection.
- **VWMA Length for Breakout Volume**, **ATR Multiplier for Breakout**, **ATR Length for Breakout**, **Min Body/Range Ratio**: Set adaptive breakout thresholds based on volatility and volume.
- **OBV Smooth Length**: Smooths OBV momentum for breakout confirmation.
- **Enable VWAP Filter for Confirmations**: Optionally validate breakouts against the VWAP.
- **Enable Higher-TF Trend Filter** & **Trend Filter Timeframe**: Align breakout signals with the 1h/4h/Daily trend.
- **ADX Length**, **EMA Fast/Slow Length for Context**: Parameters for the context dashboard (Volatility, Trend, Volume).
- **Show Intraday VWAP Line**, **VWAP Line Color/Width**: Display the intraday VWAP line with custom style.
### Signal Interpretation Map
| Signal | Description | Recommended Action |
|--------------------------------|-----------------------------------------------------------|-------------------------------------------|
| 📌 **HH / LL (pivot)** | Market structure (support/resistance) | Note key levels |
| **Bull Trap(green diamond)** | Sweep down + volume spike + wick + rejection | Go long with trend filter
| **Bear Trap(red diamond)** | Sweep up + volume spike + wick + rejection | Go short with trend filter
| 🔵⬆️ **Breakout Confirmed Up** | Close > ATR‑scaled high + volume + OBV↑ | Go long with trend filter |
| 🔵⬇️ **Breakout Confirmed Down** | Close < ATR‑scaled low + volume + OBV↓ | Go short with trend filter |
| 📊 **VWAP Line** | Intraday reference to guide price | Use as dynamic support/resistance |
| ⚡ **Volatility** | ATR ratio High/Med/Low | Adjust position size |
| 📈 **Trend Context** | ADX+EMA Strong/Moderate/Weak | Confirm trend direction |
| 🔍 **Volume Context** | Breakout / Rising / Falling / Calm | Check volume momentum |
*This summary gives you a quick overview of the key settings and how to interpret signals for efficient intraday scalping.*
### Suggested Settings
- **Intraday Scalping (5m–15m)**
- `Swing Pivot Strength = 5`
- `VWMA Length for Trap Volume = 10`, `Volume Spike Multiplier = 1.6`
- `ATR Length for Trap = 7`
- `VWMA Length for Breakout Volume = 12`, `ATR Length for Breakout = 9`, `ATR Multiplier for Breakout = 0.5`
- `Min Body/Range Ratio for Breakout = 0.5`, `OBV Smooth Length = 7`
- `Enable Higher-TF Trend Filter = true` (TF = 60)
- `Show Intraday VWAP Line = true` (Color = orange, Width = 2)
- **Swing Trading (4h–Daily)**
- `Swing Pivot Strength = 10`
- `VWMA Length for Trap Volume = 20`, `Volume Spike Multiplier = 2.0`
- `ATR Length for Trap = 14`
- `VWMA Length for Breakout Volume = 30`, `ATR Length for Breakout = 14`, `ATR Multiplier for Breakout = 0.8`
- `Min Body/Range Ratio for Breakout = 0.7`, `OBV Smooth Length = 14`
- `Enable Higher-TF Trend Filter = true` (TF = D)
- `Show Intraday VWAP Line = false`
*Adjust these values based on the symbol and market volatility for optimal performance.*
EMA Trend Pro: Dynamic Clouds & ColorsEMA Trend Pro is your ultimate trend companion, built for traders who want clarity, precision, and confidence in their entries.
This script fuses dynamic EMA cloud zones with breakout and pullback signals — giving you real-time insights into market structure and momentum. Whether you're trading crypto, forex, stocks, or futures, EMA Trend Pro adapts to your style.
🔧 Key Features:
✅ EMA Stack Clouds with Folding Sensitivity (9/21/48/200)
✅ Bullish / Bearish trend labels with real-time dashboard
✅ Volume strength analysis (High, Normal, Low)
✅ Breakout signal alerts (momentum-based)
✅ Pullback signal alerts (trend resumption)
✅ Fully customizable: EMA lengths, signal visibility, cloud opacity
✅ Works across all assets and timeframes
🛠️ Designed for scalping, swing trading, and intraday setups.
🔔 Built-in alerts make automation seamless — no guesswork.
💡 Usage Tips:
Use clouds and trend labels to identify structure and bias
Trade breakouts when EMAs align and volume confirms
Look for pullbacks into the EMA zone and enter on resumption
📅 Market Hours Filter: Keeps signals relevant during core trading hours (9:30 AM–4 PM ET).
👤 Developed by @glapougbaegarmondeh
🧠 Version 1.0 | 📆 Released: April 24, 2025
Triad Macro Gauge__________________________________________________________________________________
Introduction
__________________________________________________________________________________
The Triad Macro Gauge (TMG) is designed to provide traders with a comprehensive view of the macroeconomic environment impacting financial markets. By synthesizing three critical market signals— VIX (volatility) , Credit Spreads (credit risk) , and the Stocks/Bonds Ratio (SPY/TLT) —this indicator offers a probabilistic assessment of market sentiment, helping traders identify bullish or bearish macro conditions.
Holistic Macro Analysis: Combines three distinct macroeconomic indicators for multi-dimensional insights.
Customization & Flexibility: Adjust weights, thresholds, lookback periods, and visualization styles.
Visual Clarity: Dynamic table, color-coded plots, and anomaly markers for quick interpretation.
Fully Consistent Scores: Identical values across all timeframes (4H, daily, weekly).
Actionable Signals: Clear bull/bear thresholds and volatility spike detection.
Optimized for timeframes ranging from 4 hour to 1 week , the TMG equips swing traders and long-term investors with a robust tool to navigate macroeconomic trends.
__________________________________________________________________________________
Key Indicators
__________________________________________________________________________________
VIX (CBOE:VIX): Measures market volatility (negatively weighted for bearish signals).
Credit Spreads (FRED:BAMLH0A0HYM2EY): Tracks high-yield bond spreads (negatively weighted).
Stocks/Bonds Ratio (SPY/TLT): Evaluates equity sentiment relative to treasuries (positively weighted).
__________________________________________________________________________________
Originality and Purpose
__________________________________________________________________________________
The TMG stands out by combining VIX, Credit Spreads, and SPY/TLT into a single, cohesive indicator. Its unique strength lies in its fully consistent scores across all timeframes, a critical feature for multi-timeframe analysis.
Purpose: To empower traders with a clear, actionable tool to:
Assess macro conditions
Spot market extremes
Anticipate reversals
__________________________________________________________________________________
How It Works
__________________________________________________________________________________
VIX Z-Score: Measures volatility deviations (inverted for bearish signals).
Credit Z-Score: Tracks credit spread deviations (inverted for bearish signals).
Ratio Z-Score: Assesses SPY/TLT strength (positively weighted for bullish signals).
TMG Score: Weighted composite of z-scores (bullish > +0.30, bearish < -0.30).
Anomaly Detection: Identifies extreme volatility spikes (z-score > 3.0).
All calculations are performed using daily data, ensuring that scores remain consistent across all chart timeframes.
__________________________________________________________________________________
Visualization & Interpretation
__________________________________________________________________________________
The script visualizes data through:
A dynamic table displaying TMG Score , VIX Z, Credit Z, Ratio Z, and Anomaly status, with color gradients (green for positive, red for negative, gray for neutral/N/A).
A plotted TMG Score in Area, Histogram, or Line mode , with adaptive opacity for clarity.
Bull/Bear thresholds as horizontal lines (+0.30/-0.30) to signal market conditions.
Anomaly markers (orange circles) for volatility spikes.
Crossover signals (triangles) for bull/bear threshold crossings.
The table provides an immediate snapshot of macro conditions, while the plot offers a visual trend analysis. All values are consistent across timeframes, simplifying multi-timeframe analysis.
__________________________________________________________________________________
Script Parameters
__________________________________________________________________________________
Extensive customization options:
Symbol Selection: Customize VIX, Credit Spreads, SPY, TLT symbols
Core Parameters: Adjust lookback periods, weights, smoothing
Anomaly Detection: Enable/disable with custom thresholds
Visual Style: Choose display modes and colors
__________________________________________________________________________________
Conclusion
__________________________________________________________________________________
The Triad Macro Gauge by Ox_kali is a cutting-edge tool for analyzing macroeconomic trends. By integrating VIX, Credit Spreads, and SPY/TLT, TMG provides traders with a clear, consistent, and actionable gauge of market sentiment.
Recommended for: Swing traders and long-term investors seeking to navigate macro-driven markets.
__________________________________________________________________________________
Credit & Inspiration
__________________________________________________________________________________
Special thanks to Caleb Franzen for his pioneering work on macroeconomic indicator blends – his research directly inspired the core framework of this tool.
__________________________________________________________________________________
Notes & Disclaimer
__________________________________________________________________________________
This is the initial public release (v2.5.9). Future updates may include additional features based on user feedback.
Please note that the Triad Macro Gauge is not a guarantee of future market performance and should be used with proper risk management. Past performance is not indicative of future results.
Adaptive Support & Resistance Levels [StabTrading]The Adaptive S&R Levels indicator is designed to study support and resistance levels by synthesizing multiple well-known techniques for identifying these zones. It aims to provide traders with reliable price levels that reflect the collective perspective of market participants, using historical price action and projective techniques for extreme conditions.
💡 Introduction: Identified Problem
Traders often draw support and resistance lines using varied methods, leading to inconsistencies in where these levels are placed on charts. This variability can reduce the effectiveness of individual levels, as price may not react strongly to zones that lack broad recognition. The Adaptive S&R Levels indicator addresses this by aggressively averaging multiple established techniques to create support and resistance lines that align with what most traders are likely to identify, increasing the probability of price reactions.
🚀 How it Works: Overview
The indicator employs a multi-technique algorithm to generate support and resistance levels, ensuring they represent a consensus of trader perspectives.
🚀 How it Works: Chart Levels Display and Styling
Support levels, displayed in green below the current price, and resistance levels, shown in red above the price, are plotted clearly on the chart. Levels are numbered sequentially (e.g., v1, v2) as they move further from the current price, providing a visual hierarchy of proximity. Extreme levels, labeled as "Extreme Support" or "Extreme Resistance," are plotted in a bolder color to distinguish them as the outermost boundaries, maintaining the same green (support) and red (resistance) color scheme for consistency.
🚀 How it Works: Historical Price Action Algorithm
For areas with available historical data, the algorithm analyzes price action using a variety of recognized methods for drawing support and resistance, such as pivot points, swing highs/lows, and volume-based zones. It calculates a weighted average of these techniques to produce a “regression fit” line that reflects the accumulation of levels traders might draw. By prioritizing areas where multiple methods converge, the indicator identifies zones likely to be significant to a wide audience, enhancing their relevance.
🚀 How it Works: Projective Techniques Algorithm
In scenarios without recent historical price action—such as all-time highs or lows—the indicator employs an alternative algorithm that combines projective techniques commonly used by traders. These include Fibonacci extensions, Measured Moves (price projections), Psychological Milestones (e.g., round numbers), Channel/Trendline Extrapolation, and Time-Based Targets (inspired by methods like Gann techniques). The algorithm seeks a confluence of these methods to draw support and resistance levels that align with what most traders would consider significant in such conditions. These levels maintain the same green (support) and red (resistance) color scheme, with numbering based on their distance from the price.
🚀 How it Works: Noise Parameter Adjustment
Users can adjust a noise parameter to control the number of displayed levels. Lower settings show more lines, reflecting a broader range of potential zones but with less confluence. Higher settings increase the required confluence of techniques, resulting in fewer lines that have a higher probability of eliciting a price reaction. This customization allows traders to tailor the indicator to their preferred timeframe or trading style.
🔥 Features
Confluence-Based Levels: Support and resistance lines are derived from a weighted average of multiple techniques, aiming to mirror the levels most traders would recognize.
Extreme Levels: Generates support and resistance in areas without historical price action, using techniques like Fibonacci extensions and Measured Moves.
Color-Coded Display: Green support levels appear below the current price, and red resistance levels appear above, with extreme levels in a bolder shade for distinction.
Adjustable Noise Parameter: Users can modify the confluence threshold to display more lines (lower settings) or fewer, higher-probability lines (higher settings).
📈 Implementing the System
1. Adjust Settings
Set the noise parameter based on your trading style (0.1 to 10).
Use lower values for more frequent levels, suitable for scalping or short-term analysis.
Use higher values for fewer, higher-confluence levels, ideal for swing trading or longer-term strategies.
Adjust for your timeframe: Settings tend to be lower on shorter timeframes and higher on longer timeframes.
2. Identify Levels
Monitor green support levels below the price for potential buying zones, noting their numbered proximity (v1, v2, etc.).
Observe red resistance levels above the price for potential selling or shorting zones, noting their numbered proximity.
Note extreme levels (labeled "Extreme Support" or "Extreme Resistance") in areas like all-time highs, which may act as key reversal points.
3. Evaluate Price Reactions
Track how price interacts with the plotted levels to assess their effectiveness, considering their proximity to price.
Observe performance in bullish, bearish, or ranging markets to understand the indicator’s behavior at different levels.
Test different noise parameter settings across various assets and timeframes to find the optimal balance for your approach.
4. Layering Trades with Levels
Use the numbered levels to layer into a trade: for example, enter a partial position at a closer support level (e.g., v1) and add to it at a further level (e.g., v2) if price continues to decline, spreading risk across multiple zones.
Layer out of a trade by taking partial profits at each resistance level as price rises (e.g., reduce position at v1, then v2), or fully exit at an "Extreme Resistance" level to maximize gains while managing exposure.
🔶 Conclusion
The Adaptive S&R Levels indicator provides a framework for studying support and resistance by averaging multiple trader-recognized techniques. With its ability to handle both historical and extreme price scenarios, numbered levels for visual hierarchy, and customizable noise settings, it offers a versatile tool for analyzing key price levels. Designed for educational use, it encourages traders to test and observe how these consensus-driven levels align with market behavior within broader analysis.
Chan Theory - Chanlun UltraChan Theory -Chanlun Ultra
Overview
This script is based on the core technical framework of Chan Theory, transforming complex market fluctuations into a multi-layered, quantifiable structural analysis system. Through real-time dynamic computation, it automatically parses key components in price movements such as fractals, pens, segments, and pivot zones. Integrated with momentum analysis and trading signal alerts, it provides traders with comprehensive market insights from micro to macro perspectives. The core distinction of Chan Theory from traditional technical indicators lies in its rigorous recursive logic and human-centric market philosophy. This script faithfully restores Chan Theory's essence of "using Zen to resolve market complexity," decomposing spiral price movements into an orderly trading decision system.
Technical Principles
This indicator implements the complete recognition process from candlesticks to fractals, pens, segments, and pivot zones using pure Pine Script under Chan Theory's framework. Core technical implementations include:
1. Candlestick Containment Processing
Employs specific algorithms to handle candlestick containment relationships, eliminating random noise:
In uptrends: Select the higher high and higher low values
In downtrends: Select the lower high and lower low values
Ensure complete elimination of containment through recursive processing
2. Fractal Identification System
Performs strict fractal judgment on processed candlesticks:
Top Fractal: The middle candlestick's high is higher than both adjacent candlesticks
Bottom Fractal: The middle candlestick's low is lower than both adjacent candlesticks
Validate fractal effectiveness via the filterOperateType function
3. Pen Construction Mechanism & Type Selection
Connects valid top/bottom fractals to form pen structures, offering four pen types:
Classic Pen: Traditional Chan Theory definition, strictly following classic rules
Optimized Pen: Enhanced algorithm for short-term volatility recognition
4K Pen: Builds pens based on fractals formed by at least 4 candlesticks (improves stability)
Strict Pen: Employs the most stringent validation conditions for reliability
4. Segment Partitioning Algorithm
Applies segment rules to pen sequences with three modes:
- Dynamic Real-time Progressive Correction: Adjusts forming segments continuously with new data
- Strict Mode: Fully complies with Chan Theory definitions
- Extension Mode: Flexible handling of trend developments
5. Pivot Zone Recognition Technology
Identifies pen-level and segment-level pivot zones
Calculates pivot zone price ranges and time durations
Analyzes pivot zone evolution characteristics
Supports display of pivot zones across different levels
Trading Signal System & Filters
Trading Signal Filtering System
This indicator provides comprehensive filtering functions:
Fractal Validity Filter: Verifies fractal patterns and post-fractal developments
Basic Fractal Filter: Eliminates non-compliant fractals through basic feature checks
Type I MACD Divergence Filter: Enhances Type I signal reliability via MACD divergence analysis
Type II Signal Filter: Custom conditions for Type II signals
-False Signal Trap Avoidance: Detects and bypasses deceptive price patterns
Chan Theory Trading Signal Principles
Type I Signals (Trend Reversals)
Principle: Forms when price makes new highs/lows with weakening internal momentum (divergence)
Identification: Compares structural features of adjacent same-direction pens
Application: Early trend reversal signals for swing trading
Type II Signals (Pullback Entries)
Principle: Occurs during retracements as sub-level reversal signals
Identification: Determined by pivot zone support/resistance and fractal combinations
Application: Optimal positions for pullback trades with controlled risk
Type III Signals (Breakout Confirmations)
Principle: Confirms pivot zone breakouts
Identification: Price breaks prior pivot zone boundaries with valid fractals
Application: Trend continuation signals for trend-following strategies
Indicator Features
Multi-Level Structural Analysis
Distinguishes structures across levels via level parameters
Higher-level trends guide lower-level operations
Implements cross-level collaborative logic
Displays sub-level pivot zones
Structural Visualization
Pens: Displayed per selected pen type
Segments: Rendered according to chosen segment mode
Pivot Zones: Color gradients indicate consolidation strength
Technical Implementation
Data Structure Design
Pen Object: Stores direction, timestamps, and price attributes
Segment Object: Manages segments and constituent pens
Pivot Object: Defines pivot zone ranges and characteristics
Grade Object: Organizes analysis results across levels
User Guide
Parameter Settings
Pen Type: Classic/Optimized/4K/Strict (adapt to analysis needs)
Segment Mode: Dynamic/Strict/Extension (match trading strategies)
Signal Filters: Enable/disable specific filters
Pivot Display: Toggle sub-level pivot zones
Divergence Settings: Configure types (regular/hidden) and display styles
Strategy Settings: Set trading rules linked to signals
Strategy Configuration
Follow Segments: Trade in alignment with segment direction
Signal Participation: Enable/disable Type I/II/III signals
Signal Conditions: Require signals to appear post-pivot zone formation
Prevent Early Entries:
Type I signals require ≥1 pivot zone or 5 pens
Type II Safety Control: Participate only if Type III signals are absent
Practical Recommendations
Select pen types/segment modes per market conditions
Adjust filters for different instruments and timeframes
Enhance accuracy through multi-level analysis
Confirm Type I signals with divergence indicators
Choose strategy parameters aligned with risk tolerance
Value Proposition
Systematizes Chan Theory into computable structures
Multiple pen/segment methods adapt to diverse markets
Advanced filtering significantly improves signal quality (historically validated)
Multi-level analysis provides holistic market insights
This tool is for technical analysis only. It does not constitute investment advice. Users must exercise independent judgment based on personal risk tolerance and objectives.
概述
本脚本基于缠论核心技术框架，将复杂的市场波动转化为多层次、可量化的结构分析系统。通过实时动态演算，自动解析价格走势中的分型、笔、线段、中枢等核心组件，并融合动量分析与交易信号预警功能，为交易者提供从微观到宏观的全方位市场透视。缠论区别于传统技术指标的核心在于其严格的递归逻辑与人性化市场哲学，本脚本忠实还原缠论"以禅破缠"的思想精髓，将螺旋缠绕的价格运动分解为有序的交易决策体系。
技术原理
本指标基于缠论技术分析框架，通过纯Pine Script实现了从K线到分型、笔、线段和中枢的完整识别流程。核心技术实现包括：
1. K线包含处理
采用特定算法处理K线包含关系，消除随机波动干扰：
- 上涨趋势中取高点高值、低点高值
- 下跌趋势中取高点低值、低点低值
- 通过递归处理确保包含关系完全消除
2. 分型识别系统
在处理后的K线基础上实现严格的分型判断：
- 顶分型：中间K线高点高于两侧K线
- 底分型：中间K线低点低于两侧K线
- 通过`filterOperateType`函数实现分型有效性验证
3. 笔的构建机制与类型选择
连接有效顶底分型形成笔结构，提供四种笔类型选择：
- **老笔**：传统缠论笔定义，严格遵循经典规则
- **新笔**：优化算法，增强对短期波动的识别能力
- **4K**：基于至少4根K线形成的分型构建笔，提高稳定性
- **严笔**：采用最严格的条件验证，确保形成的笔结构可靠
4. 线段划分算法
基于笔序列应用线段划分规则，支持三种线段模式：
- **当下延伸后修正**：实时计算当前形成中的线段，并随新数据更新修正
- **严格模式**：要求线段完全符合缠论定义，减少假信号
- **延伸模式**：更灵活地处理线段延伸情况，适合趋势分析
5. 中枢识别技术
- 实现笔中枢和线段中枢识别
- 计算中枢价格区间与时间范围
- 分析中枢演变特征
- 支持显示不同级别中枢功能
买卖点系统与过滤机制
买卖点过滤系统
本指标提供全面的买卖点过滤功能：
- **买卖点分型过滤**：检验分型形态有效性，验证分型后续发展
- **买卖点分型基础过滤**：针对分型基本特征进行验证，排除不合格分型
- **1买卖macd背驰过滤**：通过MACD判断背驰情况，提高一类买卖点可靠性
- **2买卖点过滤**：专门针对二类买卖点的过滤条件
- **防狼术**：避免陷阱式买卖点，提高交易安全性
缠论买卖点原理
1. **一类买卖点**
- 原理：基于趋势背驰原理，当价格创新高/低但内部结构力度减弱时形成
- 识别方法：通过比较相邻同向笔的结构特征判断力度变化
- 应用：提供趋势可能反转的早期信号，适合波段操作
2. **二类买卖点**
- 原理：发生在回调过程中，属于次级别转折信号
- 识别方法：通过中枢支撑位与分型组合判断
- 应用：回调买入或做空的较佳位置，风险相对可控
3. **三类买卖点**
- 原理：中枢突破确认信号
- 识别方法：价格突破前中枢边界并形成有效分型
- 应用：趋势延续的确认信号，适合追踪趋势
指标特点
多级别结构分析
本指标支持多级别联动分析：
- 通过级别参数区分不同级别结构
- 高级别趋势指导低级别操作
- 实现级别间的协同判断逻辑
- 支持显示次级别中枢功能
结构可视化
- 笔结构：根据选择的笔类型显示
- 线段结构：按照选定的线段模式呈现
- 中枢区域：颜色渐变标识不同强度
技术实现说明
数据结构设计
指标设计了完整的面向对象结构：
- Pen结构：存储笔的方向、时间、价格等属性
- Segment结构：管理线段及其组成笔
- Pivot结构：表示中枢范围和特性
- Grade结构：区分不同级别的分析结果
使用指南
参数设置
- 笔的类型：选择老笔、新笔、4K或严笔以适应不同分析需求
- 线段模式：根据交易策略选择合适的线段计算方式
- 买卖点过滤：根据需要启用不同的过滤机制
- 中枢显示：选择是否显示次级别中枢
- 背离设置：选择背离类型、显示方式和样式
- 策略设置：配置与买卖点相关的交易策略选项
策略应用配置
- 跟随线段：根据线段方向进行交易
- 买卖点参与设置：可选择性参与一类、二类和三类买卖点
- 买卖点条件限制：可设置买卖点需要在中枢形成后出现
- 防止过早进场：可要求一类买卖点至少出现一个中枢后或至少5笔后才参与
- 二类买卖点安全性控制：可选择仅在未出现三类买卖点的情况下参与
实际应用建议
- 结合市场环境选择合适的笔类型和线段模式
- 针对不同品种和时间周期调整过滤设置
- 通过多级别分析提高判断准确性
- 使用背离指标确认一类买卖点的有效性
- 根据策略风格选择适合的策略配置参数
技术特点与价值
本指标通过系统化实现缠论结构分析，提供了一种客观的技术分析工具。它的核心价值在于：
1. 将复杂的缠论理论系统化为可计算的结构
2. 提供多种笔、线段判断方法以适应不同市场环境
3. 完善的买卖点过滤系统大幅提高信号质量
4. 多级别联动分析提供全面市场视角
*本指标仅提供技术分析参考，不构成投资建议。用户应根据自身风险承受能力和投资目标进行判断。*
MA Crossover [AlchimistOfCrypto]🌌 MA Crossover Quantum – Illuminating Market Harmonic Patterns 🌌
Category: Trend Analysis Indicators 📈
"The moving average crossover, reinterpreted through quantum field principles, visualizes the underlying resonance structures of price movements. This indicator employs principles from molecular orbital theory where energy states transition through gradient fields, similar to how price momentum shifts between bullish and bearish phases. Our implementation features algorithmically optimized parameters derived from extensive Python-based backtesting, creating a visual representation of market energy flows with dynamic opacity gradients that highlight the catalytic moments where trend transformations occur."
📊 Professional Trading Application
The MA Crossover Quantum transcends the traditional moving average crossover with a sophisticated gradient illumination system that highlights the energy transfer between fast and slow moving averages. Scientifically optimized for multiple timeframes and featuring eight distinct visual themes, it enables traders to perceive trend transitions with unprecedented clarity.
⚙️ Indicator Configuration
- Timeframe Presets 📏
Python-optimized parameters for specific timeframes:
- 1H: EMA 23/395 - Ideal for intraday precision trading
- 4H: SMA 41/263 - Balanced for swing trading operations
- 1D: SMA 8/44 - Optimized for daily trend identification
- 1W: SMA 32/38 - Calibrated for medium-term position trading
- 2W: SMA 17/20 - Engineered for long-term investment signals
- Custom Settings 🎯
Full parameter customization available for professional traders:
- Fast/Slow MA Length: Fine-tune to specific market conditions
- MA Type: Select between EMA (exponential) and SMA (simple) calculation methods
- Visual Theming 🎨
Eight scientifically designed visual palettes optimized for neural pattern recognition:
- Neon (default): High-contrast green/red scheme enhancing trend transition visibility
- Cyan-Magenta: Vibrant palette for maximum visual distinction
- Yellow-Purple: Complementary colors for enhanced pattern recognition
- Specialized themes (Green-Red, Forest Green, Blue Ocean, Orange-Red, Grayscale): Each calibrated for different market environments
- Opacity Control 🔍
- Variable transparency system (0-100) allowing seamless integration with price action
- Adaptive glow effect that intensifies around crossover points - the "catalytic moments" of trend change
🚀 How to Use
1. Select Timeframe ⏰: Choose from scientifically optimized presets based on your trading horizon
2. Customize Parameters 🎚️: For advanced users, disable presets to fine-tune MA settings
3. Choose Visual Theme 🌈: Select a color scheme that enhances your personal pattern recognition
4. Adjust Opacity 🔎: Fine-tune visualization intensity to complement your chart analysis
5. Identify Trend Changes ✅: Monitor gradient intensity to spot high-probability transition zones
6. Trade with Precision 🛡️: Use gradient intensity variations to determine position sizing and risk management
Developed through rigorous mathematical modeling and extensive backtesting, MA Crossover Quantum transforms the fundamental moving average crossover into a sophisticated visual analysis tool that reveals the molecular structure of market momentum.
UB Short Signal (10Y Yield Future Spike)"This indicator identifies short opportunities on UB futures based on inverse correlation with 10Y Yield Futures. A macro trading tool to be used with additional confirmations."
🎯 Indicator Strategy
This tool generates sell signals for Ultra Bond (UB) futures when:
The Micro 10-Year Yield Future shows an upward spike (> adjustable threshold)
Trading volume is significant (false signal filter)
Inverse correlation is confirmed (UB falls when 10Y rises)
⚙️ Parameters
Spike Threshold: Sensitivity adjustment (e.g., 0.08% for swing trading)
Minimum Volume: Default 100 (optimized for Micro 10Y contracts)
📊 Recent Backtest
06/15/2024: +0.10% spike → UB dropped -0.3% within 15 minutes
06/18/2024: Valid signal post-CPI release
⚠️ Disclaimer
Analytical tool only – not financial advice
Must be combined with proper risk management
AllMA Trend Radar [trade_lexx]📈 AllMA Trend Radar is your universal trend analysis tool!
📊 What is AllMA Trend Radar?
AllMA Trend Radar is a powerful indicator that uses various types of Moving Averages (MA) to analyze trends and generate trading signals. The indicator allows you to choose from more than 30 different types of moving averages and adjust their parameters to suit your trading style.
💡 The main components of the indicator
📈 Fast and slow moving averages
The indicator uses two main lines:
- Fast MA (blue line): reacts faster to price changes
- Slow MA (red line): smoother, reflects a long-term trend
The combined use of fast and slow MA allows you to get trend confirmation and entry/exit points from the market.
🔄 Wide range of moving averages
There are more than 30 types of moving averages at your disposal:
- SMA: Simple moving average
- EMA: Exponential moving average
- WMA: Weighted moving average
- DEMA: double exponential MA
- TEMA: triple exponential MA
- HMA: Hull Moving Average
- LSMA: Moving average of least squares
- JMA: Eureka Moving Average
- ALMA: Arnaud Legoux Moving Average
- ZLEMA: moving average with zero delay
- And many others!
🔍 Indicator signals
1️⃣ Fast 🆚 Slow MA signals (intersection and ratio of fast and slow MA)
Up/Down signals (intersection)
- Buy (Up) signal:
- What happens: the fast MA crosses the slow MA from bottom to top
- What does the green triangle with the "Buy" label under the candle look
like - What does it mean: a likely upward trend reversal or an uptrend strengthening
- Sell signal (Down):
- What happens: the fast MA crosses the slow MA from top to bottom
- What does it look like: a red triangle with a "Sell" mark above the candle
- What does it mean: a likely downtrend reversal or an increase in the downtrend
Greater/Less signals (ratio)
- Buy signal (Greater):
- What happens: the fast MA becomes higher than the slow MA
- What does it look like: a green triangle with a "Buy" label under the candle
- What does it mean: the formation or confirmation of an uptrend
- Sell signal (Less):
- What happens: the fast MA becomes lower than the slow MA
- What does it look like: a red triangle with a "Sell" mark above the candle
- What does it mean: the formation or confirmation of a downtrend
2️⃣ Signals ⚡️ Fast MA (fast MA and price)
Up/Down signals (intersection)
- Buy signal (Up Fast):
- What happens: the price crosses the fast MA from bottom to top
- What does it look like: a green triangle with a "Buy" label under the candle
- What does it mean: a short-term price growth signal
- Sell signal (Down Fast):
- What happens: the price crosses the fast MA from top to bottom
- What does it look like: a red triangle with a "Sell" label above the candle
- What does it mean: a short-term price drop signal
Greater/Less signals (ratio)
- Buy signal (Greater Fast):
- What happens: the price is getting higher than the fast MA
- What does it look like: a green triangle with a "Buy" label under the candle
- What does it mean: the price is above the fast MA, which indicates an upward movement
- Sell signal (Less Fast):
- What happens: the price is getting lower than the fast MA
- What does it look like: a red triangle with a "Sell" mark above the candle
- What does it mean: the price is under the fast MA, which indicates a downward movement
3️⃣ Signals 🐢 Slow MA (slow MA and price)
Up/Down signals (intersection)
- Buy signal (Up Slow):
- What happens: the price crosses the slow MA from bottom to top
- What does it look like: a green triangle with a "Buy" label under the candle
- What does it mean: a potential medium-term upward trend reversal
- Sell signal (Down Slow):
- What happens: the price crosses the slow MA from top to bottom
- What does it look like: a red triangle with a "Sell" label above the candle
- What does it mean: a potential medium-term downward trend reversal
Greater/Less signals (ratio)
- Buy signal (Greater Slow):
- What happens: the price is getting above the slow MA
- What does it look like: a green triangle with a "Buy" label under the candle
- What does it mean: the price is above the slow MA, which indicates a strong upward movement
- Sell signal (Less Slow):
- What is happening: the price is getting below the slow MA
- What does it look like: a red triangle with a "Sell" mark above the candle
- What does it mean: the price is under the slow MA, which indicates a strong downward movement
🛠 Filters to filter out false signals
1️⃣ Minimum distance between the signals
- What it does: sets the minimum number of candles between signals of the same type
- Why it is needed: it prevents the appearance of too frequent signals, especially during periods of high volatility
- How to set it up: Set a different value for each signal type (default: 3-5 bars)
- Example: if the value is 3 for Up/Down signals, after the buy signal appears, the next buy signal may appear no earlier than 3 bars later
2️⃣ Advanced indicator filters
🔍 RSI Filter
- What it does: Checks the Relative Strength Index (RSI) value before generating a signal
- Why it is needed: it helps to avoid countertrend entries and catch reversal points
- How to set up:
- For buy signals (🔋 Buy): set the RSI range, usually in the oversold zone (for example, 1-30)
- For sell signals (🪫 Sell): set the RSI range, usually in the overbought zone (for example, 70-100)
- Example: if the RSI = 25 (in the range 1-30), the buy signal will be confirmed
📊 MFI Filter (Cash Flow Index)
- What it does: analyzes volumes and the direction of price movement
- Why it is needed: confirms signals with data on the activity of cash flows
- How to set up:
- For buy signals (🔋 Buy): set the MFI range in the oversold zone (for example, 1-25)
- For sell signals (🪫 Sell): set the MFI range in the overbought zone (for example, 75-100)
- Example: if MFI = 80 (in the range of 75-100), the sell signal will be confirmed
📈 Stochastic Filter
- What it does: analyzes the position of the current price relative to the price range
- Why it is needed: confirms signals based on overbought/oversold conditions
- How to configure:
- You can configure the K Length, D Length and Smoothing parameters
- For buy signals (🔋 Buy): set the stochastic range in the oversold zone (for example, 1-20)
- For sell signals (🪫 Sell): set the stochastic range in the overbought zone (for example, 80-100)
- Example: if stochastic = 15 (is in the range of 1-20), the buy signal will be confirmed
🔌 Connecting to trading strategies
The indicator provides various connectors to connect to your trading strategies.:
1️⃣ Individual connectors for each type of signal
- 🔌Fast vs Slow Up/Down MA Signal🔌: signals for the intersection of fast and slow MA
- 🔌Fast vs Slow Greater/Less MA Signal🔌: signals of the ratio of fast and slow MA
- 🔌Fast Up/Down MA Signal🔌: signals of the intersection of price and fast MA
- 🔌Fast Greater/Less MA Signal🔌: signals of the ratio of price and fast MA
- 🔌Slow Up/Down MA Signal🔌: signals of the intersection of price and slow MA
- 🔌Slow Greater/Less MA Signal🔌: Price versus slow MA signals
2️⃣ Combined connectors
- 🔌Combined Up/Down MA Signal🔌: combines all the crossing signals (Up/Down)
- 🔌Combined Greater/Less MA Signal🔌: combines all the signals of the ratio (Greater/Less)
- 🔌Combined All MA Signals🔌: combines all signals (Up/Down and Greater/Less)
❗️ All connectors return values:
- 1: buy signal
- -1: sell signal
- 0: no signal
📚 How to start using AllMA Trend Radar
1️⃣ Selection of types of moving averages
- Add an indicator to the chart
- Select the type and period for the fast MA (default: DEMA with a period of 14)
- Select the type and period for the slow MA (default: SMA with a period of 14)
- Experiment with different types of MA to find the best combination for your trading style
2️⃣ Signal settings
- Turn on the desired signal types (Up/Down, Greater/Less)
- Set the minimum distance between the signals
- Activate and configure the necessary filters (RSI, MFI, Stochastic)
3️⃣ Checking on historical data
- Analyze how the indicator works based on historical data
- Pay attention to the accuracy of the signals and the presence of false alarms
- Adjust the settings if necessary
4️⃣ Introduction to the trading strategy
- Decide which signals will be used to enter the position.
- Determine which signals will be used to exit the position.
- Connect the indicator to your trading strategy through the appropriate connectors
🌟 Practical application examples
Scalping strategy
- Fast MA: TEMA with a period of 8
- Slow MA: EMA with a period of 21
- Active signals: Fast MA Up/Down
- Filters: RSI (range 1-40 for purchases, 60-100 for sales)
- Signal spacing: 3 bars
Strategy for day trading
- Fast MA: TEMA with a period of 10
- Slow MA: SMA with a period of 20
- Active signals: Fast MA Up/Down and Fast vs Slow Greater/Less
- Filters: MFI (range 1-25 for purchases, 75-100 for sales)
- Signal spacing: 5 bars
Swing Trading Strategy
- Fast MA: DEMA with a period of 14
- Slow MA: VWMA with a period of 30
- Active signals: Fast vs Slow Up/Down and Slow MA Greater/Less
- Filters: Stochastic (range 1-20 for purchases, 80-100 for sales)
- Signal spacing: 8 bars
A strategy for positional trading
- Fast MA: HMA with a period of 21
- Slow MA: SMA with a period of 50
- Active signals: Slow MA Up/Down and Fast vs Slow Greater/Less
- Filters: RSI and MFI at the same time
- The distance between the signals: 10 bars
💡 Tips for using AllMA Trend Radar
1. Select the types of MA for market conditions:
- For trending markets: DEMA, TEMA, HMA (fast MA)
- For sideways markets: SMA, WMA, VWMA (smoothed MA)
- For volatile markets: KAMA, AMA, VAMA (adaptive MA)
2. Combine different types of signals:
- Up/Down signals work better when moving from a sideways trend to a directional
one - Greater/Less signals are optimal for fixing a stable trend
3. Use filters effectively:
- The RSI filter works great in trending markets
- MFI filter helps to confirm the strength of volume movement
- Stochastic filter works well in lateral ranges
4. Adjust the minimum distance between the signals:
- Small values (2-3 bars) for short-term trading
- Average values (5-8 bars) for medium-term trading
- Large values (10+ bars) for long-term trading
5. Use combination connectors:
- For more reliable signals, connect the indicator through the combined connectors
💰 With the AllMA Trend Radar indicator, you get a universal trend analysis tool that can be customized for any trading style and timeframe. The combination of different types of moving averages and advanced filters allows you to significantly improve the accuracy of signals and the effectiveness of your trading strategy!
ScalpSwing Pro SetupScript Overview
This script is a multi-tool setup designed for both scalping (1m–5m) and swing trading (1H–4H–Daily). It combines the power of trend-following , momentum , and mean-reversion tools:
What’s Included in the Script
1. EMA Indicators (20, 50, 200)
- EMA 20 (blue) : Short-term trend
- EMA 50 (orange) : Medium-term trend
- EMA 200 (red) : Long-term trend
- Use:
- EMA 20 crossing above 50 → bullish trend
- EMA 20 crossing below 50 → bearish trend
- Price above 200 EMA = uptrend bias
2. VWAP (Volume Weighted Average Price)
- Shows the average price weighted by volume
- Best used in intraday (1m to 15m timeframes)
- Use:
- Price bouncing from VWAP = reversion trade
- Price far from VWAP = likely pullback incoming
3. RSI (14) + Key Levels
- Shows momentum and overbought/oversold zones
- Levels:
- 70 = Overbought (potential sell)
- 30 = Oversold (potential buy)
- 50 = Trend confirmation
- Use:
- RSI 30–50 in uptrend = dip buying zone
- RSI 70–50 in downtrend = pullback selling zone
4. MACD Crossovers
- Standard MACD with histogram & cross alerts
- Shows trend momentum shifts
- Green triangle = Bullish MACD crossover
- Red triangle = Bearish MACD crossover
- Use:
- Confirm swing trades with MACD crossover
- Combine with RSI divergence
5. Buy & Sell Signal Logic
BUY SIGNAL triggers when:
- EMA 20 crosses above EMA 50
- RSI is between 50 and 70 (momentum bullish, not overbought)
SELL SIGNAL triggers when:
- EMA 20 crosses below EMA 50
- RSI is between 30 and 50 (bearish momentum, not oversold)
These signals appear as:
- BUY : Green label below the candle
- SELL : Red label above the candle
How to Trade with It
For Scalping (1m–5m) :
- Focus on EMA crosses near VWAP
- Confirm with RSI between 50–70 (buy) or 50–30 (sell)
- Use MACD triangle as added confluence
For Swing (1H–4H–Daily) :
- Look for EMA 20–50 cross + price above EMA 200
- Confirm trend with MACD and RSI
- Trade breakout or pullback depending on structure
Pino Trend Pack (SMA/EMA + Bollinger)🔹 Pino Trend Pack is a compact trend-following and volatility indicator that includes:
📈 Moving Averages:
- SMA 10, SMA 30
- EMA 21, EMA 55, EMA 89
(All configured for short-term to mid-term trend analysis by default, but fully adjustable for user preference.)
📊 Bollinger Bands:
- Period: 20
- Standard Deviation: 2.0
- Includes Upper Band, Lower Band, and Basis (SMA 20)
This pack is designed for traders who want a clean visual of price dynamics across multiple short-term trend layers, combined with volatility tracking. It helps you identify compression, expansion, and trend shifts at a glance.
🧠 Ideal for swing trading, short- to mid-term setups, or as a supporting tool in any confluence-based strategy.
RSI and CCICombined RSI and CCI Indicator for MetaTrader
The Combined RSI and CCI Indicator is a powerful hybrid momentum oscillator designed to merge the strengths of two popular indicators—the Relative Strength Index (RSI) and the Commodity Channel Index (CCI)—into a single, visually intuitive chart window. This tool enhances traders’ ability to identify overbought and oversold conditions, divergences, trend strength, and potential reversal zones with improved precision.
Purpose
By integrating RSI and CCI, this indicator helps filter out false signals that often occur when using each tool independently. It is especially useful for swing trading, trend confirmation, and spotting high-probability entry/exit zones. This dual-oscillator approach combines RSI’s relative momentum insights with CCI’s deviation-based analysis to produce a more reliable signal structure.
Key Features
Dual Oscillator Display: Plots both RSI and CCI on the same subwindow for easy comparison and correlation analysis.
Customizable Parameters:
RSI Period and Level (default: 14)
CCI Period and Typical Price Type (default: 20, TP)
Overbought/Oversold Levels for both indicators
Color-Coded Zones:
Background highlights when both RSI and CCI enter overbought/oversold territory, signaling high potential reversal zones.
Combined Signal Logic (Optional Feature):
Buy Signal: RSI < 30 and CCI < -100
Sell Signal: RSI > 70 and CCI > 100
These can be visualized as arrows or plotted as signal markers.
Trend Filter Overlay (Optional):
Can be combined with a moving average or price action filter to confirm trend direction before accepting signals.
Divergence Detection (Advanced Option):
Optional plotting of bullish or bearish divergence where both indicators diverge from price action.
Multi-Timeframe Compatibility:
Allows the use of higher timeframe RSI/CCI values to confirm signals on lower timeframes.
Benefits
Improved Signal Accuracy: Using both RSI and CCI together helps avoid false breakouts and whipsaws.
More Informed Decision-Making: Correlating momentum (RSI) with deviation (CCI) provides a well-rounded picture of market behavior.
Efficient Charting: Saves screen space and cognitive load by combining two indicators into one clean panel.
Scalable Strategy Integration: Can be used in discretionary trading or coded into automated strategies/alerts.
Use Case Example
In a ranging market, the indicator highlights zones where both RSI and CCI are oversold, alerting traders to potential bounce opportunities.
In trending markets, it confirms trend strength when RSI and CCI are both aligned with trend direction.
When RSI is diverging from price but CCI isn’t, it can be a clue of weakening momentum, helping traders scale out or avoid traps.
This combined indicator offers a versatile, high-performance toolset for traders looking to elevate their technical analysis by leveraging multiple momentum perspectives simultaneously.
MACD Crossover + AlertMACD Proximity & Crossover Alert Script
This script is designed to help traders stay ahead of MACD crossovers by providing:
Early alerts when the MACD and Signal lines are getting close (within a customizable threshold)
Instant alerts when a bullish or bearish crossover occurs
Whether you're swing trading or scalping, this tool gives you advanced notice to prepare — and a confirmation signal to act on. It works on any timeframe and helps avoid late entries by alerting you when momentum is shifting.
Features:
Customizable MACD settings (fast, slow, signal length)
Adjustable "proximity" threshold
Visual background highlight when lines are close
Built-in alert conditions for:
MACD crossing above Signal (bullish)
MACD crossing below Signal (bearish)
MACD and Signal getting close (early warning)
Perfect for traders who want a heads-up before momentum shifts — not just a reaction afterward.
ATLAS Reversion Bands v2 [EMA % Spread]🧠 About the ATLAS Reversion Bands v2
I created this indicator to answer a simple question:
"When is price extended too far from trend, and likely to revert?"
The ATLAS Reversion Bands measure the percentage spread between a fast and slow EMA (default 25/200) and track how far that spread moves from its historical average using z-score and standard deviation bands—essentially building a Bollinger Band system on top of EMA distance.
Instead of relying on traditional oscillators like RSI or MACD, this tool is purely math-driven and tailored for spotting overextensions across any asset.
🔍 What It Does
Tracks the normalized spread between EMA 25 and EMA 200
Highlights statistically rare zones using ±2 and ±3 standard deviation bands
Plots BUY/SELL triangle markers only on first entry into extreme zones
Helps identify mean reversion opportunities (deep pullbacks or FOMO tops)
📈 How to Use It
Wait for the spread to hit or exceed ±2.5 or ±3 standard deviations
Look for confirmation via price structure, candles, or volume
Best used on spot or perp markets with healthy liquidity
Ideal for swing trading or narrative-based rotational setups
🕐 Recommended Timeframes
1H, 4H, and 1D are optimal
Use MTF mode to apply daily logic on lower timeframes (e.g., see 1D exhaustion while trading 4H)
Works across:
✅ BTC, ETH, Majors
✅ Meme coins (better on 1H/4H)
✅ Market indexes (TOTAL2, BTC.D, etc.)
📌 Pro Tips
Raise the Z-score alert threshold for stricter signals (e.g., 3.0 for only the wildest extensions)
Use with other confluence tools (like S/R, candles, or RSI)
Not designed for chasing trends — this is a fade-the-hype, buy-the-blood kind of tool
