ADR% / ATR / LoD dist. Table - V2ADR% / ATR / LoD Distance Table (V2) + ATR Range Lines is a simple โdaily volatility dashboardโ that helps you quickly judge how extended a stock is during the day and where โnormalโ daily movement zones sit relative to price.
Itโs designed to help you answer:
โHas this stock already made most of its usual daily move?โ
โAm I chasing too late?โ
โWhere are typical +ATR / โATR stretch and pullback zones?โ
What youโll see
ADR% (Average Daily Range %)
Shows the stockโs typical daily travel (low โ high) as a percentage.
Example: ADR% = 4% means the stock often swings ~4% in a normal day.
ATR (Average True Range)
Shows the stockโs typical daily movement in price units ($ / points).
Example: ATR = 2.50 means it often moves about $2.50 per day.
LoD dist. (Low of Day distance)
Shows how far price is from todayโs Low of Day, measured relative to ATR (as a %).
Higher % = more extended away from the dayโs low.
Optional: ATR Range Lines (added in this version)
You can enable two guide lines that extend to the right:
ATR Up Line = Price + ATR
ATR Down Line = Price โ ATR
These act like volatility guardrails to visualize โtypical daily stretchโ and โtypical pullbackโ zones.
ATR โLive vs Lockedโ option (important)
Lock ATR to last completed day (no intraday updates):
ON (Locked): Uses the last completed daily ATR (yesterdayโs finished value).
โ
ATR stays constant all day while the market is live.
OFF (Live): ATR can update intraday as todayโs daily candle expands.
โ
ATR may change during the session.
Either way, ATR is still based on your chosen ATR Length (lookback period). Locking simply prevents the ATR from drifting intraday.
How to use it (Kullamรคgi-style principle)
Kristjan Kullamรคgiโs momentum style emphasizes pressing strength when conditions are right, but also respecting extension and risk/reward. This tool helps you quantify that:
If ADR%/ATR suggests the stock already moved near its usual daily range, chasing can be lower reward.
The ATR lines help you visualize when price is in a โnormal stretch zoneโ vs a better risk area.
Locking ATR gives you stable intraday reference levels for cleaner execution.
Tips
Use ADR% to understand whether thereโs likely โroomโ left in todayโs move.
Use LoD dist. to quickly gauge if price is already far from the dayโs low (extended).
Use ATR Up/Down Lines as a simple volatility framework for entries, add-ons, and risk planning.
Keep Lock ATR ON if you prefer stable levels throughout the session.
Credits
Original indicator concept & script: ArmerSchlucker
ADR% formula credit: MikeC / TheScrutiniser and GlinckEastwoot
Modifications (V2): TradersPod
Added optional ATR Up/Down lines extending to the right
Added โLock ATR to last completed dayโ option for stable intraday ATR reference
Kept the original logic and purpose intact
Volatilitas
Regression SuperTrend WAIT๐น DESCRIPTION
Regression SuperTrend + WAIT Panel is a trend-filter and market regime indicator designed to help traders identify the dominant market direction and avoid low-quality trading conditions.
This script combines:
Regression-based SuperTrend to define the primary trend (UP / DOWN)
A WAIT panel to filter tradable conditions
ADX, RSI, and CCI values displayed in a compact panel for quick context
Buy / Sell labels on the chart do not represent entry signals.
They only indicate trend regime changes.
๐น How to Use
1. Trend Direction
Green line (UP) โ Focus on LONG setups only
Red line (DOWN) โ Focus on SHORT setups only
2. WAIT Panel
WAIT(L) โ Long bias environment, wait for proper entries
WAIT(S) โ Short bias environment, wait for proper entries
Low ADX โ Weak or ranging market, trading is not recommended
RSI and CCI values are shown for momentum context only.
๐น Best Practice
This indicator is not a standalone trading system.
It is intended to be used as:
A higher-timeframe bias tool
A trend and regime filter for lower-timeframe strategies or oscillators
Example:
Regression UP + WAIT(L) โ Only look for long setups on lower timeframes
๐น Who Is This For?
Trend-based traders
ICT / market structure traders
Traders who want to clearly identify when NOT to trade
โ ๏ธ Disclaimer
This script is for educational purposes only.
It is not financial advice.
All trading decisions and risk management are the userโs responsibility.
EMA 8 48 System v1Short Description:
A trend-following indicator using EMA crossovers, ATR-based volatility filter, and a cooldown period to reduce false signals. Designed for clear buy/sell signals in trending markets.
Full Description:
What is this indicator?
This script implements a dual EMA crossover system (8-period and 48-period EMAs) with a trend filter (EMA200), ATR-based volatility filter, and a cooldown period to avoid overtrading.
It visually plots EMAs, buy/sell signals, and ATR-based stop loss/target levels.
Why is it useful?
Helps traders identify high-probability trend entries and avoid choppy, low-volatility conditions.
Reduces false signals by requiring trend confirmation, sufficient volatility, and spacing out trades.
Suitable for intraday and swing trading on most liquid assets.
When to use:
Best used in markets showing clear trends (not sideways).
Works on most timeframes, but higher timeframes (15m, 1h, 4h, daily) tend to give more reliable signals.
How to spot buy and sell:
Buy: Green โBUYโ label appears when EMA8 crosses above EMA48, price is above EMA200, and ATR is above the minimum threshold.
Sell: Red โSELLโ label appears when EMA8 crosses below EMA48, price is below EMA200, and ATR is above the minimum threshold.
ATR-based stop loss and target levels are plotted for each signal.
Additional tips:
Adjust the minimum ATR and cooldown settings to match your assetโs volatility and your trading style.
Use in conjunction with price action or higher timeframe analysis for best results.
Avoid trading during low volatility or sideways markets, as signals may be less reliable.
Always backtest and forward-test before using live.
How to add signals and update settings:
Use the scriptโs input panel to adjust EMA lengths, ATR settings, minimum ATR, and cooldown period.
To add alerts, use TradingViewโs โAdd Alertโ feature and select the buy or sell conditions from the scriptโs alert options.
For further customization, you can edit the script to add additional filters or notification logic.
This indicator is for educational purposes only. Always use proper risk management and do your own research before trading.
Disclaimer:
This script is for informational and educational purposes only and does not constitute financial advice or a recommendation to buy or sell any financial instrument.
Trading involves risk. Past performance is not indicative of future results. Always do your own research and use proper risk management.
The author is not responsible for any losses incurred from the use of this script. By using this script, you agree to take full responsibility for your trading decisions.
Extreme HMA ATR BandsThe Extreme HMA ATR Bands are an advanced trend following tool focused on high speed & high smoothness over multiple assets.
Benefits:
- High Speed
- Smooth trend catching with low amount of false signals
- Great performance on CRYPTO:SOLUSD , BINANCE:SUIUSD , CRYPTO:CROUSD
- Plotting allowing easier visualization of the performance
The Idea
The idea is to create bands that "weight" data into the extreme points. These extreme points are to be taken from HMA to provide a smoother result. Averaging the extreme points we get the "middle" to which we can simply apply the ATR to get high accuracy signals.
How it works:
It calculates HMA over a short period to get a smooth source.
Then calculates the Highest & Lowest point of the HMA and their Lowest & Highest points.
By finding the Lowest Lowest Highest HMA and Highest Highest Lowest HMA and averaging them, you get a middle ground between high responsivness & smoothness.
Enjoy Gs!
Nixxo ATR Stop LossATR that prints stop losses for short or long positions with a table that shows the pip values in each case!
KAMA Momentum Extension WarningKAMA Momentum Extension Warning (Parabolic Exit)
Description This indicator is designed for Momentum & Trend Following strategies. Its primary goal is to identify "Parabolic Blow-Off" topsโmoments where price moves vertically away from the trend, creating an unsustainable "rubber band" effect.
While standard trend-following tools (like moving averages) tell you when to enter or hold, this tool tells you exactly when to take profit into strength before a likely crash.
Visual Signals
Blue Line (KAMA 21): The "Floor." This represents the sustainable trend. In a healthy move, price should hug this line.
Orange Line (Extension Limit): The "Ceiling." This is calculated as KAMA + (ATR * Multiplier). It represents the mathematical limit of a normal move.
Yellow Candles: The "Climax Signal."
This triggers when the High of the day pierces the Orange Extension Limit.
It indicates the price is statistically over-extended (vertical).
How to Trade It
Trend Following: As long as candles are "Normal" colored and above the Blue Line, hold the position.
The Warning: If a candle paints Yellow, the stock has gone parabolic.
The Execution:
Sell 50% of the position immediately (do not wait for the close).
Tighten the stop loss on the remaining shares to the Low of the Previous Day.
Settings / Inputs
KAMA Length (Default: 21): Controls the baseline trend. Increase for longer-term trends, decrease for faster entries.
ATR Length (Default: 21): The volatility lookback period (usually matches the KAMA length).
Extension Multiplier (Default: 3.5): The "Sensitivity."
3.5 - 4.0: Best for volatile "Super Stocks" (Crypto, Biotech, Tech).
2.5 - 3.0: Best for slower, large-cap stocks.
Tip: Adjust in 0.1 increments to fit the specific stock's personality.
HOHO Oscillator Squeeze With Goldilocks Pivot FractalsDESCRIPTION:
HOHO Oscillator Squeeze With Goldilocks Pivot Fractals combines three powerful technical analysis methodologies into one comprehensive momentum indicator designed for identifying high-probability trading opportunities.
Core Components:
1. HOHO (Hump Oscillator)
Multi-timeframe momentum analysis using dual oscillators (fast and slow) to identify market momentum shifts. The histogram colors change based on momentum direction and strength, providing clear visual cues for trend changes.
2. Squeeze Detection
Bollinger Bands and Keltner Channel compression analysis identifies periods of low volatility (squeeze conditions) that often precede significant price moves. Yellow dots on the zero line indicate active squeeze conditions.
3. Goldilocks Pivot Fractals
Williams Fractals-based reversal detection identifies significant swing highs and lows. BUY and SELL signals are dynamically positioned to "hug" the histogram, providing clear entry and exit signals at major turning points.
Key Features:
- Dynamic Signal Positioning: Arrows and text automatically adjust to histogram height for optimal visibility
- Customizable Visual Elements: Full control over colors for arrows, text, squeeze dots, and histogram
- Multiple Alert Options: Configurable alerts for fractals, squeeze events, and momentum shifts
- Adjustable Sensitivity: Fractal periods can be tuned for different trading styles (lower = more signals, higher = fewer signals)
- Paint Bars Option: Optional bar coloring based on fast or slow oscillator momentum
- Non-Repainting: All signals are based on confirmed price action
- Independent Spacing Controls: Separate BUY and SELL text spacing for perfect visual balance
How to Use:
Entry Signals:
- BUY arrows appear below histogram at swing lows (bullish fractals)
- SELL arrows appear above histogram at swing highs (bearish fractals)
- Best entries occur when squeeze releases coincide with fractal signals
Momentum Confirmation:
- Green histogram = bullish momentum
- Red histogram = bearish momentum
- Lighter shades indicate weakening momentum
- Darker shades indicate strengthening momentum
Squeeze Conditions:
-Yellow dots = Volatility compression (squeeze active)
- Gray dots = Normal volatility (no squeeze)
- Watch for squeeze release followed by directional move
HOHO Settings:
- Adjustable MA lengths and types (EMA/SMA)
- Customizable smoothing parameters
Goldilocks Fractals:
- Fractal Periods: Sensitivity control (default: 2)
- Arrow Spacing: Distance from histogram (default: 2.0)
- BUY Text Spacing: Distance from BUY arrow (default: 1.7)
- SELL Text Spacing: Distance from SELL arrow (default: 0.8)
- Toggle arrows and text independently
Visual Customization:
- Arrow colors (bullish/bearish)
- Text colors (BUY/SELL)
- Squeeze dot colors (ON/OFF)
- Dot size adjustment
Alerts:
- Bullish/Bearish fractal detection
- Squeeze start/release
- Momentum shift crossovers
Best Practices:
- Trend Alignment: Use on higher timeframes (15m+) for more reliable signals
- Confluence: Combine fractal signals with momentum direction for higher probability trades
- Risk Management: Place stops beyond the fractal high/low that triggered the signal
- Squeeze Strategy: Wait for squeeze release before taking directional positions
- Filter Signals: Increase fractal periods (10-20) to focus only on major turning points
Recommended Timeframes:
- Scalping: 5m-15m (fractal periods 2-5)
- Day Trading: 15m-1H (fractal periods 5-10)
- Swing Trading: 4H-Daily (fractal periods 10-20)
Important Notes:
This indicator is provided for educational and informational purposes only. It is not financial advice. Past performance does not guarantee future results. Always perform your own analysis and use proper risk management. Trading involves substantial risk of loss.
BD SessionsSession boxes indicator for intraday charts.
Highlights up to four customizable market sessions using transparent boxes with clearly defined high/low ranges and labels.
Each session can be individually configured by name, time, timezone, and color.
SMA Cross + Adaptive Q MA + AMA Channel
๐ OPERATIONAL MANUAL: Adaptive Trend & SR Breakout SystemThis system combines non-parametric regression, volatility channels, and automated price action structures to identify high-probability entries.
1. Core IndicatorsAdaptive Q (KAMA): The primary trend line.
Green = Bullish;
Red = Bearish.
AMA Channel: An ATR-based envelope ($1.5 \times ATR$) that defines the "Value Area".
SMA 50 Filter: Global trend filter. Trade Long only above; Short only below.
SR Zones: Automatic boxes marking historical Support
(Blue/Green) and Resistance (Red).Shutterstock
2. Entry Rules
๐ข LONG SETUP:Price is above SMA 50.Large Lime Triangle appears (Channel Cross).Adaptive Q line is Green.Best entry: Price bounces off a Support Box.
๐ด SHORT SETUP:Price is below SMA 50.Large Red Triangle appears (Channel Cross).Adaptive Q line is Red.Best entry: Price rejects a Resistance Box.
3. Risk Management
Stop Loss: Set at $1.5 \times ATR$ or behind the nearest SR Box.
Take Profit: Target the next opposite SR Zone or exit if the Adaptive Q changes color.
4. LegendLarge Triangles: High-conviction volatility signals.
Small Triangles: Standard SMA Cross (early warning).
Red/Green Boxes: Supply and Demand zones for structural confirmation.
Aggro-15min Pro V4.2 [SMA200 + Vortex] (v6 Ready)๐ Aggro-15min Pro
Aggro-15min Pro is a professional-grade algorithmic strategy optimized for the 15-minute timeframe. It combines structural trend analysis with aggressive momentum tracking to capture high-probability swings while filtering out market noise.
๐ ๏ธ How the Strategy Works
1. Structural Trend (The "Guardrail")
200 SMA: The strategy identifies the primary market direction. It only buys above the 200 SMA and only sells below it, ensuring you stay on the side of institutional flow.
2. Execution Trigger (The "Signal")
EMA Cross (9/50): A crossover of the 9-period Fast EMA and 50-period Slow EMA triggers the entry, identifying a confirmed shift in medium-term momentum.
3. Momentum Engine (The "Vortex")
Vortex Indicator (VI): Validates the "thrust" behind the move.
Dynamic Exit: Includes a "Vortex Reverse" logic that closes trades early if the directional energy fades, preserving capital before a full reversal occurs.
4. Risk & Volatility
ADX Filter: Prevents entries during low-volatility "sideways" periods.
ATR Risk Management: Uses the Average True Range to set dynamic Stop Loss and Take Profit levels that adapt to current market volatility.
-
-
# ๐ STRATEGY PACKAGE: AGGRO-15MIN PRO
**Version:** 4.2 (Pine Script v6 Ready)
**Asset Class:** Crypto, Forex, Indices
**Timeframe:** 15 Minutes
---
## ๐ 1. OPERATIONS MANUAL (English)
### ๐ข Strategy Overview
Aggro-15min Pro is a momentum-based trend-following system. It uses a "Triple-Filter" logic to ensure that trades are only taken when long-term trend, medium-term momentum, and short-term volatility are perfectly aligned.
### ๐ข Technical Indicators Setup
* **Structural Filter:** 200-period Simple Moving Average (SMA).
* **Trigger Engine:** 9-period & 50-period Exponential Moving Averages (EMA).
* **Momentum Engine:** 14-period Vortex Indicator (VI).
* **Strength Filter:** 14-period Average Directional Index (ADX).
* **Volatility/Exits:** 14-period Average True Range (ATR).
### ๐ข Entry Checklist
#### LONG Position:
1. **Trend:** Price is **ABOVE** the 200 SMA.
2. **Trigger:** 9 EMA crosses **ABOVE** the 50 EMA.
3. **Vortex:** VIP (Positive) is **ABOVE** VIM (Negative).
4. **Strength:** ADX is **ABOVE** 20.
#### SHORT Position:
1. **Trend:** Price is **BELOW** the 200 SMA.
2. **Trigger:** 9 EMA crosses **BELOW** the 50 EMA.
3. **Vortex:** VIM (Negative) is **ABOVE** VIP (Positive).
4. **Strength:** ADX is **ABOVE** 20.
### ๐ข Exit Management
* **Take Profit (TP):** $3.0 \times ATR$ (Risk/Reward 1:2).
* **Stop Loss (SL):** $1.5 \times ATR$.
* **Dynamic Exit:** If the Vortex lines cross in the opposite direction (e.g., VIM > VIP during a Long), the strategy closes the position immediately to lock in profits or minimize loss.
---
Pulsar Heatmap CVD/OBV [by Oberlunar]Pulsar Heatmap CVD/OBV is a flow/price-consensus dashboard that turns OBV, CVD and their combination blend into a compact โheatmap + bias/signalโ view, with optional main-chart candle coloring and HUD overlays.
What it shows
The panel is split into 3 horizontal lanes (OBV / CVD / COMBO). Each lane is further split into two halves:
Flow half: the normalized OBV/CVD/COMBO component (either per-bar Delta or Cumulative series).
Priceฮ half: the normalized divergence between price and the lane (price unit โ flow unit), highlighting when price moves with or against the flow proxy.
Colors use intensity-based transparency so you can quickly spot pressure, compression, and disagreement between lanes.
Core engines
Normalization: Z-Scoreโtanh, Z-Scoreโclamp, MinMax, or None (unit range โ ).
Bias engine (6 halves): builds a directional BIAS from the six components (OBV/CVD/COMBO ร Flow/Priceฮ), with optional hysteresis to reduce flicker.
Signal engine: triggers LONG/SHORT only on full alignment (all 6 halves agree), with confirm-bars and optional sticky behavior.
ROC/Acceleration layers: optional impulse context (ROC + ACC) to gate signals and/or boost bias strength when momentum is supportive.
AST filter: a strict directional filter combining volatility regime, BB expansion/contraction, MTF RSI prior and Kalman-smoothed evidence. When AST is directional, it can block opposite signals to enforce coherence.
Visual tools
Bias/Signal bands: top/bottom bands render BIAS strength and SIGNAL state; yellow highlights indicate disagreement/blocked states.
Candle colouring (main chart): optionally colours chart candles from LaneScore / Bias / Signal / Bias+Signal (uses overlay drawing where supported).
Signal labels: optional LONG/SHORT markers (with โbetter price than last shownโ logic).
Triangle HUD: right-side geometric HUD summarising OBV/CVD/COMBO consensus + disagreement cues.
Timed Exhaustion / Absorption table: compact state machine that flags momentum exhaustion and absorption-like conditions using tight range + ROC/ACC behaviour.
How to use
Start with Lane data = Delta for faster microstructure timing; switch to Cumulative for macro context.
Choose a normalisation that fits your symbolโs volatility (ZScoreโtanh is usually stable).
Read BIAS as the current dominant direction/strength; treat SIGNAL as the strict โall lanes alignedโ confirmation.
If you want stricter coherence, keep the AST filter enabled (it is integrated by design and blocks opposite-direction signals when directional).
Setup 1 โ Long Signal (Clean Alignment + Impulse)
In this example, Pulsar Heatmap transitions into a clear long setup when the system prints a LONG SIGNAL. The key idea is simple: the indicator does not enter on โbiasโ alone. It waits for full alignment across the internal lanes, optionally reinforced by the ROC/Acceleration impulse layer, and only then does it confirm a signal on a closed bar (Safe Mode)
Setup 2 โ Short Signal After Compression (Absorption โ Release)
In this screenshot, the short trade idea is not coming from โred candlesโ alone, but from a very specific sequence: the heatmap shows a shift into bearish alignment, the system prints a SHORT SIGNAL, and the timed module confirms that the market was in a tight range while sell pressure started to dominate.
Setup 3 โ Neutral State (Stand-By Zone, No Trade Yet)
In the following screenshot, Pulsar Heatmap is doing something very important: it is clearly saying NEUTRAL 0%. Even if, visually, price could โlookโ like it might resume upward, the indicator is not providing a directional edge yet.
If you are already short, treat DISAGREE as a signal to take profit, tighten the stop, or scale out.
Setup 4 โ When similar conditions return
Setup 4 โ Impulse + Exhaustion conditions
In this screenshot, youโre basically seeing a โtiming warningโ configuration. Price prints a sharp bearish extension, but Pulsar Heatmap is not presenting it as a clean continuation setup: the center read is NEUTRAL 0%, while the timed engine shows both Absorption = SHORT and Exhaustion = SHORT. That combination often means: the downside pressure was real, but the move is already in a late/fragile phase (good for managing an existing short, not for opening a new one).
This tool uses available volume data from your data provider and approximates flow via OBV/CVD-style logic; results can differ across symbols/brokers and sessions. This script is for educational/analytical purposes and is not financial advice.
by Oberlunar ๐๏ธ โญ
EDUVEST Lorentzian ClassificationEDUVEST Lorentzian Classification - Machine Learning Signal Detection
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ORIGINALITY
This indicator enhances the original Lorentzian Classification concept by jdehorty with EduVest's visual modifications and alert system integration. The core innovation is using Lorentzian distance instead of Euclidean distance for k-NN classification, providing more robust pattern recognition in financial markets.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ WHAT IT DOES
- Generates BUY/SELL signals using machine learning classification
- Displays kernel regression estimate for trend visualization
- Shows prediction values on each bar
- Provides trade statistics (Win Rate, W/L Ratio)
- Includes multiple filter options (Volatility, Regime, ADX, EMA, SMA)
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ HOW IT WORKS
ใLorentzian Distance Calculationใ
Unlike Euclidean distance, Lorentzian distance uses logarithmic transformation:
d = ฮฃ log(1 + |xi - yi|)
This provides:
- Better handling of outliers
- More stable distance measurements
- Reduced sensitivity to extreme values
ใFeature Engineeringใ
The classifier uses up to 5 configurable features:
- RSI (Relative Strength Index)
- WT (WaveTrend)
- CCI (Commodity Channel Index)
- ADX (Average Directional Index)
Each feature is normalized using the n_rsi, n_wt, n_cci, or n_adx functions.
ใk-Nearest Neighbors Classificationใ
1. Calculate Lorentzian distance between current bar and historical bars
2. Find k nearest neighbors (default: 8)
3. Sum predictions from neighbors
4. Generate signal based on prediction sum (>0 = Long, <0 = Short)
ใKernel Regressionใ
Uses Rational Quadratic kernel for smooth trend estimation:
- Lookback Window: 8
- Relative Weighting: 8
- Regression Level: 25
ใFiltersใ
- Volatility Filter: Filters signals during extreme volatility
- Regime Filter: Identifies market regime using threshold
- ADX Filter: Confirms trend strength
- EMA/SMA Filter: Trend direction confirmation
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ HOW TO USE
ใRecommended Settingsใ
- Timeframe: 15M, 1H, 4H, Daily
- Neighbors Count: 8 (default)
- Feature Count: 5 for comprehensive analysis
ใSignal Interpretationใ
- Green BUY label: Long entry signal
- Red SELL label: Short entry signal
- Bar colors: Green (bullish) / Red (bearish) prediction strength
ใTrade Statistics Panelใ
- Winrate: Historical win percentage
- Trades: Total (Wins|Losses)
- WL Ratio: Win/Loss ratio
- Early Signal Flips: Premature signal changes
ใFilter Recommendationsใ
- Enable Volatility Filter for ranging markets
- Enable Regime Filter for trend confirmation
- Use EMA Filter (200) for higher timeframes
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ CREDITS
Original Lorentzian Classification concept and MLExtensions library by jdehorty.
Enhanced with visual modifications and alert integration by EduVest.
License: Mozilla Public License 2.0
[codapro] Projection Bands Description
Projection Bands is a visual forecasting tool designed to help traders anticipate potential breakouts and breakdowns before they occur.
Unlike traditional lagging overlays, this indicator uses forward slope estimation, pressure-adjusted volatility, and band expansion models to project likely price zones over time.
Whether you're momentum trading or watching for reversion signals, this system provides a powerful forward-looking edge.
Key Features
Forward Slope Logic using price regression and return-based momentum
Pressure Modeling Input (0โ100) to simulate contrarian or trending environments
Volatility-Based Band Expansion using both return sigma and ATR
Live Re-Anchoring every 30 minutes for fresh projection pivots
Customizable Band Width Scaling (Square Root of Time vs Linear)
Optional Band Trail for historical projection reference
Buy/Sell Signals with directional logic, not reversals
Buy/Sell Signals
Sell: Price closes below the lower projection band
Buy: Price closes above the upper projection band
Signals trigger only on confirmed candle closes beyond the outer boundaries.
Default Settings (Optimized)
Setting Value
Projection Horizon 180 minutes
Bars Ahead (Forecast Span) 20 bars
Re-Anchor Interval 30 minutes
Projection Mode Momentum
Contrarian Weight 0.5
Momentum Weight 0.5
Band Width Scaling Linear
Return Volatility Multiplier 0.25
ATR Volatility Multiplier 1.0
Pressure Influence Multiplier 0.5
ATR Multiplier (Step Size) 1.0
Return Multiplier (Step Size) 1.0
Dummy Pressure 50
How It Works
This system blends multiple components into a forward projection engine:
Forward Slope Logic
The projected band centerline is based on:
A weighted regression of return-based momentum, and
A contrarian pressure adjustment using ATR or log-return volatility.
This hybrid model allows the bands to lean into or away from trend direction, unlike standard overlays that lag behind price.
Pressure Modeling
The Pressure input (0โ100) modifies the projection behavior:
Low pressure (0โ30): favors trend continuation
High pressure (70โ100): favors contrarian pullback logic
Mid-range (around 50): balanced projection
Pressure affects both the forecast slope and volatility expansion.
Volatility Width Scaling
Band width expands over time using a combination of:
Return volatility (standard deviation of log returns)
ATR volatility for smoother baseline context
The band expansion can follow either:
Square Root of Time (for options-style risk scaling), or
Linear Growth (more aggressive for trending environments)
As volatility rises , the projected bands widen, reflecting an expanding range of possible future price movement.
How to Use It
Use for breakout anticipation or volatility modeling.
Watch for price closes outside the band boundaries as a signal for potential movement continuation.
Adjust pressure to simulate market regime: trend vs mean-reversion.
Customize bars ahead and re-anchor interval to match your timeframe.
Use alongside structure or volume tools for greater confluence.
Disclaimer
This tool was created using the CodaPro Pine Script indicator design engine โ an architecture system for building visual signal overlays and automated alerts.
It is provided for educational and informational purposes only and does not constitute financial advice. Always test thoroughly before applying to live market conditions.
EMA Trend Reversal (Regime Change)
EMA Trend Reversal (Regime Change)
This indicator highlights EMA slope reversals that often coincide with trend or regime shifts, using a simple two-stage visual system.
It is especially effective on higher timeframes (Daily / Weekly) for swing trading and trend-bias awareness.
Detailed User Guide
What the signals mean
Unconfirmed signals (triangles)
Yellow triangle below price
- EMA is turning up intrabar (not yet confirmed)
Yellow triangle above price
- EMA is turning down intrabar (not yet confirmed)
Unconfirmed signals may repeat at a set interval until confirmation.
Confirmed signals (dots)
Green dot below price
- EMA slope has confirmed upward (bullish regime shift)
Red dot above price
- EMA slope has confirmed downward (bearish regime shift)
Confirmed dots only appear after the candle closes.
Alerts
This script provides two alerts only:
EMA Reversal UP
EMA Reversal DOWN
Each alert can fire on:
Initial unconfirmed reversal
Reminder interval while unconfirmed
Final confirmed reversal
Alerts will NOT fire unless this indicator is active on at least one chart.
It may be kept on a chart you do not actively trade.
Settings
EMA Length (default: 21)
Reminder interval (minutes)
Show / hide unconfirmed triangles
Show / hide confirmed dots
Dot transparency
Colors (locked to preserve signal meaning)
Best use cases
Identifying trend or regime changes
Weekly swing trade entries and exits
Holding-period guidance during trends
Alert-based monitoring without watching charts
This is not a scalp or oscillator signal.
It works best when combined with structure, support/resistance, or higher-timeframe context.
Disclaimer
This indicator is provided for educational and informational purposes only.
It does not constitute financial, investment, or trading advice.
All trading involves risk. Use at your own discretion.
EMA Trend Reversal (Regime Change)EMA Trend Reversal (Regime Change)
This indicator highlights EMA slope reversals that often coincide with trend or regime shifts, using a simple two-stage visual system.
It is especially effective on higher timeframes (Daily / Weekly) for swing trading and trend-bias awareness.
Detailed User Guide
What the signals mean
Confirmed signals (dots)
Green dot below price
- EMA slope has confirmed upward (bullish regime shift)
Red dot above price
- EMA slope has confirmed downward (bearish regime shift)
Confirmed dots only appear after the candle closes.
Unconfirmed signals (triangles)
Yellow triangle below price
- EMA is turning up intrabar (not yet confirmed)
Yellow triangle above price
- EMA is turning down intrabar (not yet confirmed)
Unconfirmed signals may repeat at a set interval until confirmation.
Alerts
This script provides two alerts:
EMA Reversal UP
EMA Reversal DOWN
Each alert can fire on:
Initial unconfirmed reversal
Reminder interval while unconfirmed
Final confirmed reversal
Alerts will NOT fire unless this indicator is active on at least one chart.
It may be kept on a chart you do not actively trade.
Settings
EMA Length (default: 21)
Reminder interval (minutes)
Show / hide unconfirmed triangles
Show / hide confirmed dots
Dot transparency
Colors (locked to preserve signal meaning)
Best use cases
Identifying trend or regime changes
Weekly swing trade entries and exits
Holding-period guidance during trends
Alert-based monitoring without watching charts
This is not a scalp or oscillator signal.
It works best when combined with structure, support/resistance, or higher-timeframe context.
Disclaimer
This indicator is provided for educational and informational purposes only.
It does not constitute financial, investment, or trading advice.
All trading involves risk. Use at your own discretion.
VDUB Bands - MTF WMA+ATR Volatility Lanes (6 Alerts)VDUB Bands draws volatility-scaled โtrend lanesโ around a Weighted Moving Average (WMA) using ATR (or a WMA of True Range). It can display up to four tiers (L1โL4), with higher tiers sourced from higher timeframes to show local structure โ higher-timeframe structure on a single chart.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
1. What it does (plain English)
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
Think of each tier as a lane system around the trend:
โข Inner rails = โnormal volatility laneโ around the WMA
โข Outer rails = โextension / extreme zoneโ for that tier
โข Higher tiers (L3/L4) show bigger structure
โข Lower tiers (L1/L2) show active lane behavior
Typical interpretation:
โข Price inside inner rails โ normal variance around the trend lane
โข Between inner and outer โ stretched, but not extreme
โข Outside outer rails โ extended vs that tierโs volatility band
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
2) Why itโs useful (and why itโs not a mashup)
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
This is not a bundle of unrelated indicators. Everything serves one cohesive purpose:
โข Visualize trend + volatility lanes across multiple time horizons
โข Keep rails consistent and readable (levels, fills, outlines)
โข Optional multi-timeframe aggregation for structure context
โข A compact 6-alert set to catch key transitions without alert spam
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
3) What you see on the chart
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
For each level (L1โL4), you can show:
โข Upper/Lower Inner rails
โข Upper/Lower Outer rails
โข Optional center fill (between outer rails) = operating range
โข Optional MA line per tier (off by default to reduce clutter)
โข Base WMA line (L1 MA) if enabled
Suggested workflow:
โข Start with L1 + L2 only
โข Add L3/L4 once you like the structure view
โข Use Dynamic Opacity if the chart feels crowded
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
4) How it works (transparent formula)
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
For each tier:
โข MA = WMA(source, baseLen ร levelMultiplier)
โข ATR_like = Wilder ATR (default)
OR WMA(TrueRange, atrLen ร levelMultiplier)
Inner rails:
โข upperInner = MA + ATR_like ร innerMult
โข lowerInner = MA - ATR_like ร innerMult
Outer rails:
โข upperOuter = MA + ATR_like ร outerMult
โข lowerOuter = MA - ATR_like ร outerMult
Tier behavior:
โข L1 uses the chart timeframe
โข L2โL4 can use user-selected HTFs (defaults: 4H / D / W)
or optional auto-selection
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
5) Multi-timeframe behavior + interpolation
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โข L2โL4 use request.security() with lookahead OFF (no future data).
โข HTF bands naturally โstepโ when the HTF candle confirms.
โข Interpolate HTF Bands (optional): visually blends from the prior confirmed HTF value to the current confirmed HTF value to reduce stepping. This is display smoothing, not prediction.
Repaint note:
โข If Live Interp (Repaints) is enabled, the HTF lines can update intrabar and may repaint. Keep it OFF for strict non-repainting behavior.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
6) Auto-select L2/L3/L4 (optional)
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
Two modes:
A) Ladder (deterministic)
โข Picks โbiggerโ timeframes relative to the chart (simple and fast).
B) Score (data-driven)
โข Tests candidate timeframes and scores them using:
โข Coverage: % of closes inside the OUTER band over Score Lookback
โข Width: average outer-band width as a fraction of MA
โข Targets: Target Coverage + Target Width
โข Weights: Coverage Weight + Width Weight
Performance notes:
โข Score mode is heavier (many candidates).
โข โLock auto-select after first pickโ is recommended to reduce load and avoid platform limits.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
7) Alerts (6 total, aggregated across L1โL4)
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
Alerts trigger if ANY tier meets the condition:
โข Cross ABOVE an OUTER band
โข Cross BELOW an OUTER band
โข Cross ABOVE an INNER band
โข Cross BELOW an INNER band
โข Price is OUTSIDE ABOVE an OUTER band
โข Price is OUTSIDE BELOW an OUTER band
These are intentionally aggregated to keep the alert count small while catching meaningful transitions.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
8) Limitations & transparency
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โข Indicator only (not a strategy). No performance claims.
โข MTF values update when the higher timeframe candle confirms.
โข Interpolation is visual smoothing; it does not forecast.
โข Non-standard chart types (Heikin Ashi/Renko/etc) may behave differently from standard candles.
โข If you enable repainting options, signals/levels may change intrabar.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
9) Credits/reuse disclosure
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โข Conceptual inspiration: VDUB and the community โVDUB_BINARY_PRO_3_V2โ idea of WMA ยฑ TR/ATR ร multipliers.
โข This version is a reimplementation + extension, adding:
o Multi-tier architecture (L1โL4)
o Higher-timeframe sourcing + optional interpolation
o Optional scoring-based timeframe selection
o Dynamic opacity + streamlined plotting
o Aggregated 6-alert set
No code was copied directly from the older script; this is a rewritten implementation with additional features and different structure.
www.tradingview.com
1H ETH Volume Breakout [ADX Filtered]Title: 1H ETH Volume Breakout w/ ADX Filter
Description:
๐ Strategy Overview
This strategy is a high-precision Volatility Breakout system designed specifically for Ethereum (ETH) on the 1H timeframe. It focuses on catching explosive moves while aggressively filtering out market noise and "chop" to protect capital.
Unlike standard breakout strategies that get wrecked in sideways markets, this script uses a multi-layer confirmation system (Volume + Trend + Momentum + ADX) to ensure high-probability entries.
๐ง The Logic (How it works)
Keltner Channel Breakout: We use Keltner Channels (Length 22, Multiplier 2.0) instead of Bollinger Bands because they adapt better to ETH's unique volatility, reducing fake-outs.
Volume Confirmation: A trade is only taken if the current volume spikes above the moving average. "No Volume = No Trade."
Trend Filter (220 EMA): We only trade Long when price is above the 220 EMA, and Short when below. We trade with the dominant trend, never against it.
The "Chop Killer" (ADX Filter): An added ADX filter ensures the trend has real strength before entering. If the market is flat (ADX < 20), the strategy sits on the sideline.
๐ก๏ธ Risk Management (The "Fee Crusher")
Dynamic Stop Loss: Uses ATR (4.0) to give trades room to breathe without getting wicked out.
Trailing Stop: Activates after a 3% gain to lock in profits during big pumps.
Money Management: Includes a built-in Compounding feature (Optional).
โ๏ธ Recommended Settings
Coin: ETH/USD or ETH/USDT
Timeframe: 1 Hour (1H)
Leverage: 2x (Recommended)
Exchange Fees: Tuned for 0.1% fees.
โ ๏ธ Disclaimer
Past performance is not indicative of future results. Please backtest with your own exchange settings before using real capital. This is an open-source tool for educational purposes.
ULTIMATE SMC FUSION HIGHER TIME FRAMES๐ฅ ULTIMATE SMC FUSION ADAPTED FOR HIGH TIME FRAMES
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
The high-performance, refined edition of the v4.1 Fusion suite. This Core version brings the signature "Balanced Entry" logic to your charts with enhanced HTF optimization and a zero-latency interface.
๐ KEY FEATURES:
โข BALANCED SIGNAL ENGINE: A proven mix of structure breaks and momentum-based institutional entries.
โข HTF TURN DETECTION: Enhanced logic for Higher Timeframes to find major swing reversal opportunities.
โข ON-CHART PERFORMANCE PANEL: Live tracking for win rates and growth stats to keep you in the flow.
โข DYNAMIC ATR TARGETS: Take Profit and Stop Loss levels that adapt automatically to market volatility.
โข OPTIMIZED SMC OVERLAYS: Clean, professional structure lines and order block visualizers.
โข PURE LOCAL PROCESSING: No external API overheadโmaximum responsiveness for fast decision making.
BEST FOR: Forex Scalp/Swing, Professional Charting, and Multi-Asset Analysis.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
Feel free to adjust the settings to your own needs.
Make your own decisions when you trade, do not put all confidence into a script, it may fail also.
ATR Table (Top Right) - Multi Rangejust your friendly atr table to multiple ranges and for the sense of what is brewing
COMBO: LuxAlgo SFP + EXTREMOS + VWAP 3rd Band + LG (15m)This is the best indicator 1h chart
High and low points daily
EDUVEST QQE Grade System - S/A/B/C Signal ClassificationEDUVEST QQE Grade System - S/A/B/C Signal Classification
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ORIGINALITY
This indicator introduces a unique grading system (S/A/B/C) for QQE signals, combining traditional QQE analysis with SMC (Smart Money Concepts) price zones and trading session filters. Unlike standard QQE indicators that show all signals equally, this version classifies signals by quality to help traders focus on the highest probability setups.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ WHAT IT DOES
- Generates BUY/SELL signals with S/A/B/C grade classification
- Automatically detects asset type and applies optimized QQE factors
- Integrates SMC price zones (support/resistance) for grade enhancement
- Filters signals by trading session time
- Displays real-time session and market status
Grade Hierarchy:
- S (Gold/Orange): Signal near SMC zone + active trading hours - Highest quality
- A (Green/Red): Score 70+ during trading hours - High quality
- B (Darker): Score 50-69 during trading hours - Medium quality
- C (Gray, small): Outside trading hours or weak signal - Low quality
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ HOW IT WORKS
ใQQE Core Calculationใ
The QQE (Quantitative Qualitative Estimation) is calculated as:
1. RSI with configurable period (default: 14)
2. EMA smoothing of RSI (Smoothing Factor: 5)
3. Dynamic bands using Wilder's smoothing: RSI ยฑ (ATR of RSI ร QQE Factor)
QQE Factor is auto-adjusted per asset:
- USD/JPY: 4.238
- EUR/USD: 3.8
- Gold (XAU/USD): 8.0
- NASDAQ/US100: 9.0
ใSignal Generationใ
- BUY: QQE line crosses above its trailing stop (QQExlong == 1)
- SELL: QQE line crosses below its trailing stop (QQExshort == 1)
ใInternal Scoring Systemใ
Score components (0-100):
- Signal Base: +25 points when signal occurs
- QQE Strength: +10 to +20 based on RSI distance from 50
- Volatility: +15 (optimal ATR ratio 1.1-2.0), -10 (low volatility)
- Volume Confirmation: +10 (high volume), -5 (low volume)
- Session Bonus: +5 during London/NY sessions
- Base: +20 points
ใGrade Assignmentใ
- Grade S: Signal near user-defined SMC price zone (within tolerance %) AND during trading hours
- Grade A: Internal score >= 70 AND during trading hours
- Grade B: Internal score >= 50 AND during trading hours
- Grade C: Outside trading hours OR score < 50
ใSMC Price Zone Integrationใ
Users can set support/resistance levels for each asset. When price is within the tolerance percentage of these levels, signals are upgraded to S-grade, indicating confluence with institutional price levels.
ใTrading Session Filterใ
Configurable active trading hours (JST timezone):
- Default: 15:00 - 01:00 JST (London + NY overlap)
- Signals outside this window receive C-grade
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ HOW TO USE
ใRecommended Settingsใ
- Timeframe: 15M, 1H, 4H
- Best on: USD/JPY, EUR/USD, Gold, NASDAQ
- Focus on: S and A grade signals
ใTrading Strategyใ
- S-Grade (Gold/Orange): Highest conviction - consider larger position
- A-Grade (Green/Red): Strong signal - standard position
- B-Grade: Valid but use additional confirmation
- C-Grade: Avoid or use minimal size
ใSetting Up SMC Zonesใ
1. Identify key support/resistance on higher timeframe
2. Input prices in SMC Price Settings
3. Adjust tolerance % (default: 0.15%)
4. S-grade appears when signal occurs near these levels
ใInfo Panelใ
Top-right panel shows:
- Asset name and detection mode (Auto/Manual)
- Current session (Tokyo/London/NY)
- Trading hours status
- SMC zone proximity
ใAlert Setupใ
1. Enable alerts in settings
2. Create alert with "Any alert() function call"
3. Alerts include grade, price, and session info
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ SETTINGS
Basic Settings:
- Enable Alerts: Turn on/off notifications
- Time Filter: Activate trading hour filter
- Start/End Hour: Define active trading window (JST)
QQE Settings:
- RSI Period: RSI calculation period
- RSI Smoothing: EMA smoothing factor
- Auto QQE Factor: Auto-detect optimal factor per asset
- Manual QQE Factor: Override when auto is disabled
SMC Price Settings:
- Support/Resistance levels for each asset
- Tolerance %: How close to SMC line for S-grade
Display Settings:
- Grade Only: Hide QQE lines, show only signals
- Show SMC Lines: Display support/resistance on chart
- Show Debug: Display asset detection info
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ CREDITS
QQE concept originally developed by John Ehlers.
SMC (Smart Money Concepts) integration and grading system by EduVest.
License: Mozilla Public License 2.0
EDUVEST QQE Signal v3.0 - Multi-Timeframe Scoring SystemEDUVEST QQE Signal v3.0 - Multi-Timeframe Scoring System
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ORIGINALITY
This indicator combines QQE (Quantitative Qualitative Estimation) with HMA (Hull Moving Average) and introduces a unique AI-based scoring system that rates signal quality from 0-100. Unlike traditional QQE indicators that show simple buy/sell signals, this version categorizes signals into four strength levels: BIG CHANCE, SUPER, POWER, and STRONG.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ WHAT IT DOES
- Generates scored BUY/SELL signals with quality ratings (60-100 points)
- Categorizes signals into 4 strength levels for easy decision making
- Supports Multi-Timeframe (MTF) analysis
- Auto-detects asset type and applies optimized QQE factors
- Provides customizable alerts based on score thresholds
Signal Hierarchy:
- ๐ฐ BIG CHANCE (90-100): Highest probability setups
- โก SUPER (80-89): Very strong signals
- ๐ POWER (70-79): Strong signals with HMA confluence
- ๐ช STRONG (60-69): Standard quality signals
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ HOW IT WORKS
ใQQE Calculationใ
QQE is based on a smoothed RSI with dynamic bands:
1. Calculate RSI with specified period (default: 14)
2. Apply EMA smoothing to RSI (Smoothing Factor, default: 5)
3. Calculate ATR of the smoothed RSI
4. Create dynamic bands: RSI ยฑ (ATR ร QQE Factor)
The QQE Factor is automatically adjusted per asset:
- Forex (USDJPY, EURUSD): 3.8 - 4.238
- Gold (XAUUSD): 8.0
- Crypto (BTC): 12.0, (ETH): 10.0
- Indices (NASDAQ): 4.238
ใHMA Calculationใ
Hull Moving Average for trend confirmation:
HMA = WMA(2 ร WMA(price, n/2) - WMA(price, n), โn)
ใSignal Generationใ
- BUY: QQE crosses above its band (QQExlong == 1)
- SELL: QQE crosses below its band (QQExshort == 1)
ใAI Scoring Systemใ
The score is calculated from multiple factors:
Signal Base (0-35 points):
- QQE + HMA confluence: +35
- QQE or HMA alone: +25
QQE Strength (10-25 points):
- RSI distance from 50 (momentum strength)
- >30 distance: +25, >20: +20, >10: +15, else: +10
Volatility Score (-10 to +15 points):
- ATR ratio 1.1-2.0: +15 (optimal volatility)
- ATR ratio <0.8: -10 (low volatility warning)
Volume Confirmation (-5 to +15 points):
- Volume > 120% of average: +15
- Volume < 80% of average: -5
Base Points: +15
Final Score = Clamped(0, 100, sum of all factors)
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โ HOW TO USE
ใRecommended Settingsใ
- Timeframe: 5M, 15M, 1H, 4H
- Best on: Forex, Gold, NASDAQ, BTC/ETH
- Minimum Score: 60 (adjustable)
ใReading Signalsใ
- BIG CHANCE (Gold label, 90+): Highest conviction - consider larger position
- SUPER (Yellow label, 80-89): Very strong - standard position
- POWER (Cyan/Magenta label, 70-79): Strong with trend confirmation
- STRONG (Green/Red label, 60-69): Valid but use additional confirmation
ใMTF Featureใ
Enable MTF to analyze signals from a higher timeframe while viewing lower timeframe charts. The indicator auto-selects 5-minute as the analysis timeframe, or you can set it manually.
ใAlert Setupใ
1. Enable alerts in settings
2. Set minimum score threshold (default: 60)
3. Create alert with "Any alert() function call"
ใImportant Notesใ
- Signals are confirmed at bar close (no repainting)
- Higher scores = higher probability, not guaranteed profits
- Always use proper risk management
- Consider market context and support/resistance levels
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โ SETTINGS
โฑ๏ธ MTF Settings
- MTF Use: Enable multi-timeframe analysis
- Manual Timeframe: Override auto-detection
- Show Panel: Display info panel (default: OFF)
๐จ Design
- Neon Colors: Vibrant color scheme
- Show HMA Line: Display HMA on chart
- Minimum Score: Filter weak signals
- Label Transparency: Adjust label opacity
- Large Labels: Mobile-friendly sizing
๐ง QQE Settings
- RSI Period: RSI calculation period
- Smoothing: EMA smoothing factor
- AI Score: Enable scoring system
๐ Alerts
- Enable Alerts: Turn on/off notifications
- Minimum Score: Alert threshold
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โ CREDITS
QQE concept originally developed by John Ehlers.
HMA (Hull Moving Average) by Alan Hull.
Enhanced with scoring system and MTF support by EduVest.
License: Mozilla Public License 2.0
EDUVEST UTBOT ADJ - Adaptive ATR Trailing StopEDUVEST UTBOT ADJ - Adaptive ATR Trailing Stop with Session-Based Sensitivity
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โ ORIGINALITY
This indicator is an enhanced version of the classic UT Bot concept, featuring automatic session-based ATR sensitivity adjustment. Unlike the original UT Bot which uses a fixed sensitivity value, this version dynamically adapts to different trading sessions (Tokyo, London, New York) and automatically detects asset characteristics to optimize signal generation.
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โ WHAT IT DOES
- Generates BUY and SELL signals based on ATR trailing stop crossovers with a moving average
- Automatically adjusts sensitivity based on current trading session (Tokyo/London/NY)
- Auto-detects asset type and applies optimized parameters for each instrument
- Displays real-time session information and volatility status
- Provides alert functionality with customizable cooldown periods
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โ HOW IT WORKS
ใCore Logic: ATR Trailing Stopใ
The indicator calculates an ATR-based trailing stop using the formula:
Trailing Stop = Price ยฑ (Sensitivity ร ATR)
When price is above the trailing stop and rising, the stop trails below price.
When price is below the trailing stop and falling, the stop trails above price.
ใSignal Generationใ
- BUY Signal: Price crosses above the trailing stop AND Moving Average crosses above the trailing stop
- SELL Signal: Price crosses below the trailing stop AND Moving Average crosses below the trailing stop
ใSession-Based Sensitivity Adjustmentใ
The indicator adjusts ATR sensitivity based on trading session (JST timezone):
- Tokyo (08:00-15:00): Lower sensitivity (reduced by adjustment value) - typically quieter markets
- London (15:00-23:00): Base sensitivity - moderate volatility
- New York (23:00-08:00): Higher sensitivity (increased by adjustment value) - higher volatility
ใDynamic ATR Adjustmentใ
When enabled, the indicator compares current ATR to its smoothed average:
- ATR Ratio = Current ATR / SMA(ATR, smoothing period)
- Volatility Multiplier = 1.0 + (Sensitivity ร (2.0 - ATR Ratio))
This reduces sensitivity during high volatility (fewer false signals) and increases sensitivity during low volatility (faster response).
ใAuto Asset Detectionใ
The indicator automatically detects the traded instrument and applies optimized parameters:
- Stable pairs (USDJPY, EURUSD, USDCHF): Base sensitivity 1.5-1.8
- Moderate pairs (AUDUSD, USDCAD, EURJPY): Base sensitivity 2.0-2.3
- Volatile pairs (GBPUSD): Base sensitivity 2.8
- Commodities (GOLD/XAUUSD): Base sensitivity 3.5
- Indices (NASDAQ/NAS100): Base sensitivity 4.0
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โ HOW TO USE
ใRecommended Settingsใ
- Timeframe: 15 minutes or higher (15M, 1H, 4H recommended)
- Best performance on: Forex majors, Gold, NASDAQ
- Enable "Auto Asset Detection" for optimized parameters
ใEntry Rulesใ
- BUY: Enter long when green BUY label appears
- SELL: Enter short when pink SELL label appears
ใSession Panelใ
The top-right panel displays:
- Current trading session (Tokyo/London/NY)
- Volatility status (High Chance/Medium Chance/Caution)
- Mode (AUTO/MANUAL)
ใAlert Setupใ
1. Enable "Viewer Alert Display" in settings
2. Set cooldown period (default: 15 minutes) to avoid signal spam
3. Create alert with "Any alert() function call" condition
ใImportant Notesใ
- This indicator does not repaint - signals are confirmed at bar close
- Lower timeframes (1M, 5M) may generate excessive signals
- Always use proper risk management and confirm with other analysis
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โ SETTINGS OVERVIEW
๐ฏ Alert Settings
- Viewer Alert Display: Enable/disable alert labels
- Cooldown Function: Prevent rapid consecutive signals
- Cooldown Time: Minutes between alerts (5-60)
๐ง Dynamic ATR Settings
- Enable Dynamic ATR: Auto-adjust based on volatility
- ATR Period: Calculation period (default: 14)
- ATR Smoothing: Smoothing period for ratio calculation
- Volatility Sensitivity: How much to adjust (0.1-1.0)
๐ Session ATR Adjustment
- Enable Time Adjustment: Session-based sensitivity
- Show Session Info: Display session panel
๐ Asset Settings
- Auto Asset Detection: Automatically optimize for instrument
- Manual settings available when auto-detection is disabled
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โ CREDITS
Based on the original UT Bot concept by QuantNomad.
Enhanced with session-based adaptation and auto-asset detection by EduVest.
License: Mozilla Public License 2.0
