Trend Footprint by DTRTrend Footprint is an all-in-one indicator that includes all the necessary tools and features a unique, simple color bar technique. This helps users identify the trend and its strength at a glance.
Indicator plots different tools for different time frames
指標和策略
Capital Flow StrengthCapital Flow Strength Indicator Guide
This is a comprehensive technical indicator that measures capital flow into or out of an asset, combined with volume analysis. Here's how to use it effectively:
Basic Understanding
The indicator shows capital flow strength on a scale from -100 to +100
Positive values (green) indicate money flowing into the asset
Negative values (red) indicate money flowing out
The blue/gray volume bars show relative volume compared to recent average
Key Components
Capital Flow Line
Green line above zero: Buying pressure dominates
Red line below zero: Selling pressure dominates
Crossing zero: Potential shift in market sentiment
Reference Lines
0 line: Neutral balance between buyers and sellers
+50 line: Strong buying pressure
-50 line: Strong selling pressure
Volume Strength Bars
Blue bars: Volume exceeding threshold (currently 1.5x average)
Gray bars: Normal volume levels
Taller bars: Higher relative volume
Trading Applications
Entry Signals
Strong buying setup: Capital flow above +50 with blue volume bars
Strong selling setup: Capital flow below -50 with blue volume bars
Confirmation Tool
Use with price action and other indicators for confirmation
Strong readings are more reliable when volume is higher than average
Divergence Analysis
Bullish divergence: Price making lower lows but capital flow making higher lows
Bearish divergence: Price making higher highs but capital flow making lower highs
Customization Options
Length (14): Adjust the calculation period
Volume Threshold (1.5): Modify sensitivity to volume spikes
Alert Conditions
The indicator has two built-in alerts:
"Strong Capital Inflow" - triggers when flow > 50 with high volume
"Strong Capital Outflow" - triggers when flow < -50 with high volume
These alerts can help you identify significant buying or selling pressure as it emerges.
Levels by Touches (v2) [chingybrooks]Levels by Touches (v2)
This script scans the last N bars to identify significant support and resistance levels by counting wick-touches.
How it works:
1. Wick detection – marks a touch whenever upper or lower wick ≥ X% of candle body (or on doji)
2. Level grouping – merges touches within a tolerance of Y ticks
3. Touch weighting – recent touches (in the latter half of lookback) count Z× more
4. Filtering – only plots levels with ≥ M total touches
Inputs:
Bars to scan (N): lookback period (max 200 bars)
Min touches (M): minimum hits to qualify as a level
Tolerance (ticks): price “slop” for grouping nearby touches
Min wick %: wick size threshold as % of body
Recent touch weight (Z): multiplier for touches in the latest half
Use this indicator to spot high-probability S/R zones based on actual price rejections.
Advanced SMC Market Structure AnalyzerAdvanced SMC Market Structure Analyzer
Version 1.0 • by Rendon1
Short Description:
A multi-timeframe Smart Money Concepts (SMC) toolkit for detecting Breaks of Structure (BOS), Changes of Character (CHoCH), liquidity zones, order blocks, fair-value gaps, and raw entry signals—all in one overlay indicator.
🔍 Overview
This script analyzes both a higher timeframe (e.g. 4H) for market structure shifts and a lower “entry” timeframe (e.g. 5–30 m) to flag optimal entries. It visually marks:
BOS (Higher-Highs/Bearish BOS & Lower-Lows/Bullish BOS)
CHoCH (structure flips)
Liquidity Zones (equal highs/lows)
Order Blocks (last candle before a directional move)
Fair-Value Gaps on the entry timeframe
Buy/Sell Labels when multiple conditions align
⚙️ Features
Multi-Timeframe Structure: Define your higher-timeframe for HTF swings and a customizable lower-timeframe for precision entries.
Swing Sensitivity: Adjustable pivot lookback (default 5 bars).
Liquidity Detection: Highlights market stagnation points via equal highs/lows.
Order Blocks & FVG: Identifies key institutional zones on both HTF and LTF.
Automated Entry Signals: Composite logic combining CHoCH with LTF order blocks or fair-value gaps.
Alerts Built-In: “Bullish Entry,” “Bearish Entry,” “CHoCH Detected,” and “BOS Detected.”
⚙️ Inputs
Setting Default Description
Swing Detection Sensitivity 5 Lookback bars for pivot detection (higher = smoother)
Show Structure Labels ☑️ Toggle visual BOS/CHoCH labels
HTF Structure Timeframe 240 Higher-timeframe (minutes) for market structure
Entry Structure Timeframe 15 Lower-timeframe for order block & FVG entries
Liquidity Lookback 3 Bars to check for equal highs/lows
📖 How to Use
Add to Chart: Apply the indicator to any symbol.
Configure Timeframes: Choose your preferred HTF (e.g. 4H) and LTF (e.g. 15 m).
Interpret Signals:
Blue “BOS” labels mark momentum breaks on HTF.
Orange “CHoCH” labels indicate structure flips.
Green “🟢 BUY” and Red “🔴 SELL” labels appear when HTF flips align with LTF zones.
Set Alerts: Right-click any of the built-in alert conditions to add real-time notifications.
⚠️ Disclaimer
This script is for educational purposes only and does not constitute financial advice. Trading involves risk, and you should perform your own analysis before making any trades. The author is not liable for any losses or gains resulting from the use of this indicator.
EMA 9, 21, 50, 200 with Touch Alert📈 EMA 9, 21, 50, 200 with Touch Alert
This indicator plots four key Exponential Moving Averages (EMAs):
EMA 9 (Black)
EMA 21 (Gold)
EMA 50 (Purple)
EMA 200 (Green)
These EMAs are commonly used by traders to identify market trends, momentum, and key areas of dynamic support and resistance.
🔔 Alert Feature
A built-in alert condition is triggered whenever the price touches the 21 EMA, allowing traders to react quickly to potential trend continuation or reversal zones. This is particularly useful for traders who rely on EMA-based pullback entries or want to monitor how price behaves around this key average.
⚙️ How It Works
The indicator checks if the closing price comes within a very small tolerance range of the 21 EMA, simulating a “touch”.
An alert condition is built in, so you can create a Tradingview alert using this logic and stay informed across your charts.
EMA Cross 7/30/100 + Pullback + Volume Spike Description
Combines three EMAs (7, 30, 100) with volume-spike and pullback detection to generate ultra-precise BUY signals for both scalp and swing traders.
Cross Logic: EMA7→EMA30 (optionally confirmed by EMA30>EMA100)
Volume Spike: Volume > (MA(volume) × multiplier)
Pullback Entry: Price retraces to EMA30 within X bars + volume confirmation
Outputs: “BUY” for fresh crosses, “BUY PB” for pullbacks
Features: Fully customizable inputs, toggle labels & alerts, non-repainting
Usage Guide
Add to chart and adjust inputs (EMA lengths, volume MA, multiplier, pullback bars).
Enable labels to see “BUY”/“BUY PB” directly on price.
Turn on alerts to get real-time notifications.
Interpret “BUY” as momentum entry; “BUY PB” as optimized retracement entry.
KTUtilsLibrary "KTUtils"
Utility functions for technical analysis indicators, trend detection, and volatility confirmation.
MGz(close, length)
MGz
@description Moving average smoother used for signal processing
Parameters:
close (float) : float Price input (typically close)
length (int) : int Length of smoothing period
Returns: float Smoothed value
atrConf(length)
atrConf
@description Calculates Average True Range (ATR) for volatility confirmation
Parameters:
length (simple int) : int Length for ATR calculation
Returns: float ATR value
f(input)
f
@description Simple Moving Average with fixed length
Parameters:
input (float) : float Input value
Returns: float Smoothed average
bcwSMA(s, l, m)
bcwSMA
@description Custom smoothing function with weight multiplier
Parameters:
s (float) : float Signal value
l (int) : int Length of smoothing
m (int) : int Weighting multiplier
Returns: float Smoothed output
MGxx(close, length)
MGxx
@description Custom Weighted Moving Average (WMA) variant
Parameters:
close (float) : float Price input
length (int) : int Period length
Returns: float MGxx smoothed output
_PerChange(lengthTime)
_PerChange
@description Measures percentage price change over a period and range deviation
Parameters:
lengthTime (int) : int Period for change measurement
Returns: tuple Measured change, high deviation, low deviation
dirmov(len)
dirmov
@description Calculates directional movement components
Parameters:
len (simple int) : int Lookback period
Returns: tuple Plus and Minus DI values
adx(dilen, adxlen)
adx
@description Calculates Average Directional Index (ADX)
Parameters:
dilen (simple int) : int Length for DI calculation
adxlen (simple int) : int Length for ADX smoothing
Returns: float ADX value
trChopAnalysis()
trChopAnalysis
@description Identifies chop and trend phases based on True Range Bollinger Bands
Returns: tuple TR SMA, chop state, trending state
wtiAnalysis(haclose, close, filterValue)
wtiAnalysis
@description Wave Trend Indicator (WTI) with signal crossover logic
Parameters:
haclose (float) : float Heikin-Ashi close
close (float) : float Standard close
filterValue (simple int) : int Smoothing length
Returns: tuple WTI lines and direction states
basicTrend(hahigh, halow, close, open, filterValue)
basicTrend
@description Determines trend direction based on HA high/low and close
Parameters:
hahigh (float) : float Heikin-Ashi high
halow (float) : float Heikin-Ashi low
close (float) : float Standard close
open (float) : float Standard open
filterValue (simple int) : int Smoothing period
Returns: tuple Uptrend, downtrend flags
metrics(close, filterValue)
metrics
@description Common market metrics
Parameters:
close (float) : float Price input
filterValue (int) : int RSI smoothing length
Returns: tuple VWMA, SMA10, RSI, smoothed RSI
piff(close, trend_change)
piff
@description Price-Informed Forward Forecasting (PIFF) model for trend strength
Parameters:
close (float) : float Price input
trend_change (float) : float Change in trend
Returns: tuple Percent change, flags for trend direction
getMACD()
getMACD
@description Returns MACD, signal line, and histogram
Returns: tuple MACD line, Signal line, Histogram
getStoch()
getStoch
@description Returns K and D lines of Stochastic Oscillator
Returns: tuple K and D lines
getKDJ()
getKDJ
@description KDJ momentum oscillator
Returns: tuple K, D, J, Average
getBBRatio()
getBBRatio
@description Bollinger Band Ratio (BBR) and signal flags
Returns: tuple Basis, Upper, Lower, BBR, BBR Up, BBR Down
getSupertrend()
getSupertrend
@description Supertrend values and direction flags
Returns: tuple Supertrend, Direction, Up, Down
SR Nube 1.1The SR Nube 1.1 indicator offers a comprehensive perspective on price action through the strategic combination of three key elements: a dynamic cloud based on two Volume Weighted Moving Averages (VWMA), a consistent reference Exponential Moving Average (EMA) across all timeframes, and an intuitive information table.
The Dynamic Cloud: This cloud is calculated using two VWMA with lengths that automatically adjust based on the chart's timeframe. This dynamic adaptation allows for the identification of relevant support and resistance zones across different timeframes, providing contextual insight into potential price movement. The cloud visualizes areas of volume confluence, helping traders pinpoint zones where buying or selling pressure may be significant.
The Consistent Reference EMA: An EMA with a specific length (calculated to be representative of a higher timeframe, such as 1 hour, and displayed consistently across all timeframes) is overlaid on the chart. This EMA serves as a macro trend guide and a constant visual reference point, making it easier to identify the overall market direction regardless of the active trading timeframe. Its consistency across timeframes helps maintain perspective and align trades with the dominant trend.
The Information Table: Located in the top-left corner of the chart, a concise table summarizes the current price status relative to the cloud (on the 20-minute timeframe, as a reference for the main strategy) and the price's position concerning the reference EMA (based on the 1-hour timeframe). This table provides a quick, color-coded overview of trend alignment across multiple key timeframes, which can assist traders in making more informed decisions.
Utility and Underlying Concepts:
This indicator is designed for traders seeking a tool that combines volume analysis (through the VWMA in the cloud) with a higher timeframe trend reference (the consistent EMA). The dynamic cloud helps identify potential entry and exit zones within the trading timeframe, while the reference EMA provides a directional filter. The information table simplifies the evaluation of trend confluence across multiple timeframes, potentially increasing the probability of successful trades.
The underlying strategy is based on the idea of trading in the direction of volume and in alignment with a higher timeframe trend, using the cloud to identify value areas and the EMA as a key directional filter. The information table acts as a quick visual aid for assessing this alignment.
How to Use:
Add the "SR Nube 1.1" indicator to your TradingView chart.
Observe the dynamic cloud to identify potential support and resistance zones on your trading timeframe.
Use the blue EMA as a guide for the overall market trend.
Consult the information table in the top-left corner to see the price alignment with the 20-minute cloud and the 1-hour EMA. The colors will provide a quick indication of the potential direction.
Look for confluence between the cloud signals on your trading timeframe, the price's position relative to the EMA, and the information provided in the table to identify potential entry and exit opportunities.
RSI + DivergencesHi Guys
This is modified version of RSI + Divergences by in.tradingview.com
This indicator gives you the trend changes (Designed with the basics of Vash's RSI advanced and the Fikira divergence indicator)
This indicator will only give you regular divergences.
Please keep in mind that a trading plan is not only built with momentum but also with location and structure.
Azro Systems™ Top/Bottom – XRP ModuleDetects statistically extreme capitulation or euphoria in XRP’s long-term cycle.
The indicator overlays “Bottom” or “Top” labels when a proprietary multi-factor
model confirms a macro inflection on the weekly XRP-USD chart.
• Built-in adaptive architecture auto-tunes to evolving market structure—no settings to tweak.
• Designed strictly for the weekly timeframe; treat labels as a directional compass and always confirm entries with independent risk-management rules.
• Trading carries risk; past performance is not indicative of future results.
CNT Scalp SystemZalo.me/gurutrader
The CNT Scalp System is a precision-focused trading indicator designed for scalpers. It identifies short-term price reversals using a combination of trend filters and momentum signals. With real-time alerts and visual cues, it helps traders make quick, informed entries and exits on lower timeframes like M1 to M15.
10/20MA pullback by Black200000This indicator highlights the first pullback to the 10- and 20-period exponential moving averages on any timeframe you specify (default: 6-minute).
All markers appear on a single horizontal line in a separate pane, so your price chart stays clean and uncluttered.
Signals
• 10↑ (PB10-Above) – The candle’s low touches EMA-10 and the close finishes at or above EMA-10.
• 10↘ (PB10-Between) – The low touches EMA-10, the close finishes below EMA-10 but still at or above EMA-20.
• 20↑ (PB20-Above) – The low touches EMA-20 and the close finishes at or above EMA-20.
Built-in Alerts
• PB10 above – touch of EMA-10, close above.
• PB10 between – touch of EMA-10, close between EMA-10 and EMA-20.
• PB20 above – touch of EMA-20, close above.
• Any Pullback – fires whenever any of the three events occurs.
Surfing SystemSurfing System ( Follow Trend Indicator )
Pair : XAUUSD
Timeframe : M5
Dev : Jimo
Logic : Marvin
Tenoris Trend Line + Dashboard (Real Arrows)Tenoris Trend Dashboard-shows Tenoris based trend on current chart and color of open live candle on current chart. used for live trading to make confirmation between chart timeframes easier and faster. Authored by David Fauvre, TrendGuruX part of the Tenoris Apex Suite of indicators.
Trend & Confirmation – LRC Zone Breakout + Grid OverlayOverview
This protected Pine v5 strategy combines:
Linear Regression Channel (LRC) Breakouts – Detects closes above/below a regression midline ±SD bands.
Volatility & Slope Filters – Optional ATR-percent filter and 50 EMA slope check to avoid weak, low-vol moves.
Weekly EMA Regime – Measures price distance from the weekly EMA on a daily chart to flag bullish/consolidation/bearish modes.
Momentum Confirmation – Daily RSI and ATR-percent thresholds confirm strength.
RSI Divergence – Marks classic pivot-based price/RSI divergences.
Dynamic Money Management – Auto-calculates Stop Loss, Take Profit, and ATR-based trailing levels sized to your risk% and reward: risk.
Metrics Table – A 2×10 overlay table summarizes all filters, “Mood” status, and recommended levels in real time.
Strategy Properties
Backtest Period: Jan 1, 2015 – May 1, 2025 (≈2 600 daily bars)
Example Sample: On SPY daily data, produced 142 trades (>100 recommended)
Initial Capital: $10 000
Commission: 0.03% per trade
Slippage: 0.05% per trade
Risk per Trade: 1% of equity (within the 5–10% guideline)
Default Position Size: $3 333 per entry
Default Reward:Risk: 2 : 1
Timeframe: Daily bars (attach to any ticker)
Originality & Usefulness
Unlike standalone LRC or EMA scripts, this tool:
Mashes up regression-channel breakouts with regime, momentum, volatility, and divergence filters—eliminating the need to overlay multiple indicators.
Auto-sizes stops/targets and provides ATR-based trailing levels, saving manual calculations.
Presents all confluences in one clean, customizable table.
How It Works
Entry (Long) when:
Close > upper LRC band
Weekly EMA regime is “Bullish” (not consolidation)
RSI > threshold ✔️
ATR-% > threshold ✔️
(Optional) No active bearish divergence
Exit when:
Close < lower LRC band, or
Weekly regime turns Bearish/Consolidation, or
Stop‐Loss / Trailing‐Stop is hit
Divergence: Flags price/RSI divergences at significant pivots to warn of potential reversals.
Table: Updates in real time, showing pass/fail for each filter, overall “Mood,” and price/% levels for Stop, Target, and ATR-based trailing stops.
How to Use
Add the script to a clean daily chart (no other indicators).
Adjust Inputs:
LRC lookback & StdDev multiplier
ATR% & EMA slope filters
Weekly EMA length & consolidation %
RSI length/threshold & ATR length/threshold
Risk%, reward ratio, # of positions
Table colors, font sizes and text styles
Read the table: take trades only when key filters (Trend, RSI, ATR) are green and “Mood” shows Healthy.
Follow the suggested Stop Loss, Take Profit, and Trailing levels for disciplined exits.
Disclaimer
This strategy is provided “as-is” for educational purposes only. Past performance does not guarantee future results. Always test in a demo account with realistic commission and slippage settings before committing real capital, and never risk more than you can afford to lose.
Mswing PrashantThis is A Swing Indicator to check the strength of US Tech Sector Stocks with respect to Nasdaq 100.
STD FinderFinds the averages of the past 10 (customizable) swing points, and projects the estimated point based on the averages, with a toggleable and customizable STD box for a cushion.
ORB Multi-Session Professional System
ORB Multi-Session Professional Trading Strategy (Open Beta)
## Strategy Overview
The ORB Multi-Session Professional is an advanced Opening Range Breakout (ORB) trading strategy designed to capture high-probability trading opportunities during the European and New York trading sessions. This sophisticated strategy leverages multiple technical filters and dynamic risk management to provide a robust approach to intraday trading.
## Key Strategy Features
### Dual Session Trading
- Trades both European (07:00 UTC) and New York (13:30 UTC) opening ranges
- Flexible configuration allows trading:
- Full sessions
- European session only
- New York session only
### Advanced Entry Conditions
- Breakout trading based on 15-minute opening range
- Long and short entries triggered by price breaking above/below the session's high/low
- Optional reversal trading capabilities
### Intelligent Risk Management
- Dynamic position sizing based on:
- ATR (Average True Range)
- Customizable risk percentage
- Multiple stop-loss calculation methods:
- Percentage of opening range
- ATR-based
- Fixed value
- Flexible take-profit strategies:
- Risk-to-reward ratio
- ATR-based
- Fixed value
- Optional trailing stop
### Comprehensive Filters
- Trend filter using EMA (configurable period)
- Volume filter to ensure market activity
- Range size filter to avoid low-volatility periods
- Customizable minimum and maximum range sizes
## Risk Control Mechanisms
- Maximum trades per day (1-5 configurable)
- Dynamic position sizing
- Multiple stop-loss and take-profit strategies
- Optional trailing stop functionality
## Visualization Features
- Highlights trading sessions
- Displays opening range levels
- Shows previous day's high and low
- Visual signals for trade entries
- Informative performance table
## Strategy Configuration Options
### General Settings
- Strategy type selection
- Opening range duration
- Dynamic position sizing
- Risk percentage per trade
- Maximum daily trades
### Risk Management
- Stop-loss types:
- Percentage
- ATR-based
- Fixed value
- Take-profit types:
- Risk-to-reward ratio
- ATR-based
- Fixed value
- No take-profit option
### Filters
- Trend filter
- Volume filter
- Range size constraints
### Session Management
- Time zone adjustments
- Session-specific offsets
- Individual session enabling/disabling
## Performance Tracking
- Accumulated profit tracking
- Winning and losing trade count
- Real-time performance statistics display
## Best Suited For
- Forex markets
- Futures markets
- High-liquidity instruments
- Traders seeking structured, rule-based entry and exit strategies
## Important Considerations
⚠️ **Disclaimer:**
- Backtesting and forward testing are crucial
- Past performance does not guarantee future results
- Always use proper risk management
- Adjust parameters to match your specific trading instrument and risk tolerance
## Recommended Setup
- Timeframe: 5-15-minute charts
- Recommended markets: Major currency pairs, stock indices, commodities
- Suggested initial settings can be customized based on specific trading goals
## Version
**Current Version:** 0.1
**Strategy Type:** Multi-Session Opening Range Breakout Trading System
**Developed:** 2025 by CarlosGV
Buy Sell TradeAgent ProBuy Sell TradeAgent Pro: Technical Analysis Indicator
A technical analysis tool for forex, cryptocurrencies, stocks, commodities, and indices.
Core Features
Technical Components
Multiple Moving Averages: EMA, SMA, HMA, LSMA
RSI and MACD Integration
ATR-based Volatility Analysis
Color-coded Market Structure
Analysis Methods
1 - Short-Term Analysis
Fast EMA (12-25) + Medium MA (50-75)
For 1m, 5m, 15m timeframes
Intraday market structure analysis
2 - Swing Analysis
EMA 30 + SMA 140
For 4H and Daily timeframes
Medium-term trend analysis
3 - Position Analysis
Slow EMA (55-75) + Long SMA (200+)
For Daily and Weekly charts
Major trend identification
4 - Market Structure
Multi-indicator confluence
Support/resistance identification
Volume analysis integration
Risk Warning
This is a technical analysis tool only
Always use proper risk management
Past performance doesn't guarantee future results
Use multiple confirmation signals
Never trade more than you can afford to lose
Usage Notes
Familiarize with all features before use
Combine with other analysis tools
Develop your own risk strategy
Not a standalone trading system
Sarmaaya CambistSarmaaya Cambist is the product of Sarmaaya
SR Levels with ZigZag Breaks
This indicator plots dynamic support/resistance levels using ZigZag-detected pivot points. Key features:
🟥 Red lines = Resistance levels (with adjustable offset)
🟦 Blue lines = Support levels (with adjustable offset)
🔴🔵 Tiny circles mark pivot points
🅱 Green/Breakout labels show confirmed breaks
Customizable sensitivity (Depth/Deviation/Backstep)
Clean visual presentation with semi-transparent levels
Ideal for swing trading and identifying key price levels. Adjust parameters to match your trading timeframe and volatility preferences.
Phoenix AIPhoenix AI Indicator White Paper
An Adaptive Neural-Enhanced Trading System for TradingView
Executive Summary
The Phoenix AI indicator is a sophisticated, next-generation trading algorithm built for the TradingView platform. It combines adaptive volatility analysis, multi-timeframe trend filtering, and a proprietary neural network engine to deliver highly accurate buy and sell signals. Designed for both novice and professional traders, Phoenix AI aims to reduce uncertainty, optimize risk management, and increase profitability through automation and intelligent signal generation.
1. Introduction
Modern markets are increasingly influenced by speed, data complexity, and behavioral noise. Traditional indicators often lag or fail in volatile conditions. Phoenix AI is designed to adapt in real time, learning from market behavior while incorporating neural logic and higher-timeframe confirmations. Its architecture is rooted in cutting-edge signal processing and AI logic, making it ideal for swing, position, and intraday traders seeking precision and performance.
2. Key Features
1. Neural Network-Driven Signal Engine
• Weights assigned to momentum, volatility, volume, and trend.
• Adaptive multipliers scale signal sensitivity in real-time.
• Ensures precision entry timing under varying market regimes.
2. Adaptive Volatility Filtering
• Automatically adjusts sensitivity based on standard deviation ratios.
• Scales Stop Loss and Take Profit dynamically to maintain optimal R:R.
• Enhances trade logic in high- and low-volatility environments.
3. Multi-Timeframe Confirmation
• Higher-timeframe EMA and RSI filters reduce false signals.
• Integrated Ichimoku cloud components (Senkou A/B) for directional bias.
• Ensures trades are aligned with macro market structure.
4. Risk Management Suite
• Three-level Take Profit system (TP1, TP2, TP3).
• Adaptive Stop Loss multiplier tied to volatility state.
• Clear on-chart visual levels and alerts for trade automation.
5. Dynamic Thresholding
• Uses real-time volatility to adjust signal confidence thresholds.
• Prevents over-trading and whipsaws in unstable conditions.
6. Fully Customizable Interface
• Adjustable label positions, color themes, and transparency.
• Intuitive inputs for all major features, grouped for user control.
• Seamless integration into existing TradingView workflows.
3. Architecture Overview
A. Signal Generation Logic
Signals are only generated when:
• The neural network output exceeds dynamic thresholds.
• Price confirms above/below adaptive moving averages.
• RSI and trend filters validate setup conditions.
• Market volatility is within an acceptable ratio range (0.5–2.0).
B. Adaptive System
• Volatility-based RSI levels shift based on live market ratios.
• Trade management levels (SL, TP1–3) adapt to ensure proportional exposure.
• The algorithm adjusts in real time to maintain consistency across regimes.
C. Multi-Timeframe Filtering
• Confirms trade direction using:
o Higher-timeframe RSI within intelligent buy/sell zones.
o Price position relative to higher timeframe EMA bands.
o Alignment with Ichimoku cloud structure for trend confirmation.
4. Visual Aids & User Experience
Phoenix AI displays:
• Buy/Sell Signals: Color-coded triangles on the chart.
• Stop Loss/Take Profits: Dotted lines at calculated levels.
• Status Labels: Real-time market diagnostics including:
o Volatility ratio
o Adaptive multiplier
o Neural signal strength
o Signal threshold
o Custom RSI bands
5. Performance Benefits
Benefit Description
Reduced Whipsaws Multi-layer filtering and neural logic eliminate low-quality signals.
Scalable Strategy Usable across any market or timeframe—Forex, Stocks, Crypto, Futures.
Actionable Alerts Built-in TradingView alerts support automation with bots and scripts.
AI-Driven Precision Learns market structure to refine entries over time.
6. Applications
• Retail Traders: Simplifies high-level analysis for profitable entries.
• Algorithmic Developers: Integrate logic into broader automated systems.
• Quantitative Analysts: Fine-tune parameters to suit specific assets or strategies.
• Trading Educators: Demonstrate real-time decision making using AI principles.
7. Future Developments
• Machine Learning Integration: Live training on user trades for even smarter signal refinement.
• Portfolio-Wide Mode: Multi-asset signal dashboard.
• Backtest Suite: Custom module for forward and reverse optimization.
8. Conclusion
Phoenix AI is not just an indicator—it’s a fully adaptive, AI-augmented trading assistant built for the modern trader. By intelligently responding to market dynamics and learning from historical conditions, it empowers traders with clarity, confidence, and consistency.
9. Access & Licensing
Please send email to admin@phoenixtradingsystems.com for access