[FGL] Stochastic ATR Trend IndicatorThis indicator:
Detects trend direction using ATR-based dynamic bands around SMA.
Generates buy/sell signals using Stochastic crossover conditions filtered by trend.
Colors candles to show trend direction.
Plots a visual “trend zone” band on the chart.
INPUT PARAMETERS:
Stochastic Length → Period for the stochastic oscillator.
Smooth K and Smooth D → Smoothing parameters for %K and %D lines.
ATR Length → Period used for SMA-based trend detection.
LOGIC FLOW
Determine trend using long ATR-based SMA channel.
Detect momentum change with Stochastic cross.
Confirm both momentum and price align with trend.
Generate buy/sell signal + change candle color.
STRATEGIC INTERPRETATION
Best use: Trend-following momentum entries.
Avoids: Countertrend false signals by filtering with trend value.
Signals:
Buy: In uptrend + bullish stochastic crossover.
Sell: In downtrend + bearish stochastic crossover.
Khoảng dao động thực tế trung bình (ATR)
Integrated Volatility Intelligence System (IVIS) AutoKVolMind™ AutoK — Integrated Volatility Intelligence System (IVIS)
IVIS AutoK
Author: © lfu
Public Description (for publication)
VolMind™ AutoK represents an institutional-grade open-source framework for adaptive volatility intelligence and probabilistic trade management.
This system fuses Kalman-inspired KAMA smoothing, CVD dynamics, Auto K-Means clustering, entropy-based regime analysis, and a Kolmogorov–Smirnov market normality test into a single modular platform.
Key Capabilities:
Adaptive ATR Stop Bands dynamically scale with volatility, entropy, and cluster variance.
Auto KMeans Intelligence automatically selects the optimal cluster count for price structure recognition (3–10 clusters).
Entropy Module quantifies structural uncertainty and information decay within price movement.
KS-Test Integration identifies non-normal distributions, signaling regime divergence and volatility inflection.
CVD Dynamics reveal real-time directional bias via cumulative volume delta.
MSI Composite Signal fuses multi-source indicators (ATR, CVD, entropy, clusters) to model market stress and adaptive risk.
Designed for forward-looking quant traders, IVIS serves as a volatility intelligence backbone for portfolio automation, volatility forecasting, and adaptive stop-loss scaling.
Fully open-source for research and applied strategy development. Not a financial advice. DYOR.
Volume Weighted Average True RangeThis indicator calculates a customizable version of the Average True Range (ATR), a tool for measuring market volatility. It enhances the standard ATR with volume weighting, a dual-smoothing process, normalization, and volatility pivot detection.
Key Features:
Volume Weighting: An option (Volume weighted) allows for volume to be incorporated into the volatility calculation. This provides a measure of "volume-adjusted" volatility that is more responsive to significant market activity.
Dual Smoothing Process: For noise reduction, the indicator employs a two-stage smoothing process. It first calculates a smoothed True Range (TR) over a user-defined period (TR Length) before applying the final ATR moving average (ATR Length & ATR Smooth).
Normalization (Percentage Volatility): An optional 'Normalize' mode calculates the ATR as a percentage of the price. This allows for consistent volatility comparison across different assets and over long time periods.
Volatility Pivot Detection: The indicator includes a built-in pivot detector that identifies significant turning points (highs and lows) in the ATR line itself, signaling potential shifts in volatility.
Note on Confirmation (Lag): Pivot signals are confirmed using a lookback method. A pivot is only plotted after the Pivot Right Bars input has passed. This is essential for ensuring the signal is non-repainting but introduces an inherent lag.
Multi-Timeframe (MTF) Capability:
MTF ATR Line: The ATR line itself can be calculated on a different timeframe, with standard options to handle gaps (Fill Gaps) and prevent repainting (Wait for...).
Limitation: The Pivot detection (Calculate Pivots) is disabled if a Higher Timeframe (HTF) is selected.
Integrated Alerts: Includes alerts that trigger when a new volatility pivot (high or low) is detected in the ATR line.
DISCLAIMER
For Informational/Educational Use Only: This indicator is provided for informational and educational purposes only. It does not constitute financial, investment, or trading advice, nor is it a recommendation to buy or sell any asset.
Use at Your Own Risk: All trading decisions you make based on the information or signals generated by this indicator are made solely at your own risk.
No Guarantee of Performance: Past performance is not an indicator of future results. The author makes no guarantee regarding the accuracy of the signals or future profitability.
No Liability: The author shall not be held liable for any financial losses or damages incurred directly or indirectly from the use of this indicator.
Signals Are Not Recommendations: The alerts and visual signals (e.g., crossovers) generated by this tool are not direct recommendations to buy or sell. They are technical observations for your own analysis and consideration.
AI Signal Engine [Buy/Sell/Close Signals]📘 AI Signal Engine
The AI Signal Engine is a clean, no-lag, volatility-adaptive signal indicator that automatically identifies high-probability Buy, Sell, and Close signals based on trend and momentum shifts.
This tool blends the SMA (Simple Moving Average) for directional bias with the ATR (Average True Range) for volatility expansion and contraction, allowing you to trade only when the market shows real strength or weakness — not noise.
🔹 Core Concept
Price moves in volatility cycles: compression → expansion → exhaustion.
The AI Signal Engine tracks this cycle using:
Moving Average (MA): Defines baseline trend and filters fake reversals.
ATR Bands: Measure volatility boundaries for breakout confirmation.
When price breaks above the upper ATR band, it confirms bullish momentum → Buy Signal.
When price breaks below the lower ATR band, it confirms bearish momentum → Sell Signal.
The indicator then automatically gives Close Buy or Close Sell signals when conditions flip.
🧭 Signals Explained
Signal Type Meaning Typical Action
🔼 Buy Signal Price breaks above upper band Enter long / close short
🔽 Sell Signal Price breaks below lower band Enter short / close long
❌ Close Buy Bullish trend invalidated Take profit or exit long
❌ Close Sell Bearish trend invalidated Take profit or exit short
⚙️ Customization
Adjustable MA length, ATR length, and ATR multiplier
Optional background coloring for active positions
Clean chart labels and visual zones
4 dedicated alert conditions for automation or webhook bots
💡 Usage Tips
Works on any timeframe and asset (crypto, forex, indices, stocks).
Combine with volume or higher timeframe confirmation for elite precision.
Ideal for trend-riders, breakout traders, or algorithmic signal filters.
📈 Example Workflow
Add the indicator to your chart.
Wait for a Buy/Sell signal that aligns with higher-timeframe bias.
Exit automatically when a Close Buy/Sell alert triggers.
Optionally automate trades through webhooks or bot integrations.
QV ATR Active Range ValuesQuantVault
### Description for Presentation
The "QV ATR Active Range Values" indicator is a forward-looking tool designed for traders to estimate potential price ranges over 1, 2, or 3 months based on historical volatility and momentum. It leverages the Average True Range (ATR) to measure volatility and incorporates a "win rate" derived from recent candle colors to bias projections toward upside or downside potential. This creates asymmetric range forecasts that reflect market directionality, helping users anticipate breakout levels, set targets, or manage risk. The indicator overlays projected high/low lines on the chart and displays a compact table summarizing days to key percentage targets (e.g., +30% or -20%) alongside projected prices and percentage changes. Ideal for swing traders or investors seeking data-driven price projections without relying on complex models.
### Detailed Explanation of How It Works
This indicator uses Pine Script v5 on TradingView to compute and visualize price projections. Below, I'll break it down step by step, including the key calculations, logic, and outputs. Note that it assumes a trading month has 21 days (a common approximation for business days), and all projections are based on daily timeframes derived from weekly data.
#### 1. **User Inputs**
- **ATR Length (Lookback)**: Default 25. This is the period used to calculate the ATR and count candle colors.
- **Show Projections**: Boolean toggles to display 1-month (yellow), 2-month (orange), or 3-month (green/red) lines. By default, only 1-month is shown.
#### 2. **Period Definitions**
- Months are converted to days assuming 21 trading days per month:
- 1 month: 21 days
- 2 months: 42 days
- 3 months: 63 days
- These periods represent the forward-looking horizons for projections.
#### 3. **Volatility Calculation (ATR)**
- **Weekly ATR**: Fetched using `request.security` on the weekly timeframe with the specified ATR length (e.g., average true range over the last 25 weeks).
- **Daily ATR**: Derived by dividing the weekly ATR by 5 (approximating 5 trading days per week). This scales volatility to a daily basis.
- **Base Projections**: For each period, multiply daily ATR by the number of days in that period. This estimates the total expected range if volatility persists:
- 3 months: `daily_atr * 63`
- 2 months: `daily_atr * 42`
- 1 month: `daily_atr * 21`
#### 4. **Momentum Bias (Win Rate)**
- Counts the number of "green" (close > open, bullish) and "red" (close < open, bearish) candles over the ATR lookback period.
- **Win Rate**: Fraction of green candles out of total colored candles (green + red). Defaults to 0.5 (50%) if no colored candles exist.
- This win rate introduces asymmetry: In bullish periods (high win rate), upside projections are larger; in bearish periods (low win rate), downside projections dominate.
#### 5. **Adjusted Projections**
- **Upside Projection**: Base projection multiplied by win rate (e.g., for 3 months: `base_projection_3 * win_rate`).
- **Downside Projection**: Base projection multiplied by (1 - win rate).
- **Projected Prices**:
- High: Current close + upside projection
- Low: Current close - downside projection
- This creates realistic, direction-biased ranges rather than symmetric ones.
#### 6. **Chart Overlays (Plots)**
- Lines are plotted only if the corresponding toggle is enabled, with 50% transparency for a dimmed effect:
- 3-month high: Solid green line
- 3-month low: Solid red line
- 2-month high/low: Dashed orange lines
- 1-month high/low: Dashed yellow lines (#f6e122)
- These lines extend horizontally from the current bar, visualizing potential future highs/lows.
#### 7. **Daily Rates and Days to Targets**
- **Up Rate**: `daily_atr * win_rate` (expected daily upward movement).
- **Down Rate**: `daily_atr * (1 - win_rate)` (expected daily downward movement).
- **Days to Targets**: Calculates approximate trading days to reach fixed percentage moves from the current close, using the rates:
- +30%: `(close * 0.30) / up_rate` (rounded)
- +20%: `(close * 0.20) / up_rate`
- +10%: `(close * 0.10) / up_rate`
- -10%: `(close * 0.10) / down_rate`
- -20%: `(close * 0.20) / down_rate`
- -30%: `(close * 0.30) / down_rate`
- If a rate is zero, days are set to `na` (not applicable).
#### 8. **Table Display**
- A single combined table is created at the top-center of the chart with a semi-transparent black background (80% opacity) and white borders.
- **Structure** (6 columns x 7 rows):
- **Left Section (Days to Targets, Columns 0-1)**:
- Lists percentage targets (+30% to -30%) with corresponding days, colored green for upside and red for downside.
- **Separation (Column 2)**: Empty for visual spacing.
- **Right Section (Projections, Columns 3-5)**:
- Shows 1M/2M/3M highs and lows with:
- Projected price (formatted to 2 decimals).
- Percentage change from close (e.g., `((projected_high - close) / close) * 100`).
- Colors match the plot lines: Yellow for 1M, orange for 2M, green for 3M high, red for 3M low.
- The table updates dynamically with each bar, providing at-a-glance insights.
#### Key Assumptions and Limitations
- **Volatility Persistence**: Assumes future ATR matches historical levels; actual volatility can fluctuate.
- **Linear Projection**: Treats price movement as additive daily increments, ignoring compounding or non-linear effects.
- **Candle Count**: Only considers colored candles (ignores doji where open = close), and uses a simple win rate without weighting by size.
- **Timeframe**: Best on daily charts; weekly ATR scaling assumes consistent weekly-to-daily ratios.
- **No Backtesting**: This is a visualization tool, not a strategy with entry/exit signals. Test projections against historical data for accuracy.
This indicator combines volatility forecasting with basic sentiment analysis for practical, visual projections. If you're presenting it, emphasize how the win rate adds a directional edge over plain ATR-based ranges, making it more adaptive to trending markets. If you need modifications or examples on specific tickers, let me know!
Quantura - Supply & Demand Zone DetectionIntroduction
“Quantura – Supply & Demand Zone Detection” is an advanced indicator designed to automatically detect and visualize institutional supply and demand zones, as well as breaker blocks, directly on the chart. The tool helps traders identify key areas of market imbalance and potential reversal or continuation zones, based on price structure, volume, and ATR dynamics.
Originality & Value
This indicator provides a unique and adaptive method of zone detection that goes beyond simple pivot or candle-based logic. It merges multiple layers of confirmation—volume sensitivity, ATR filters, and swing structure—while dynamically tracking how zones evolve as the market progresses. Unlike traditional supply and demand indicators, this script also detects and plots Breaker Zones when previous imbalances are violated, giving traders an extra layer of market context.
The key values of this tool include:
Automated detection of high-probability supply and demand zones.
Integration of both volume and ATR filters for precision and adaptability.
Dynamic zone merging and updating based on price evolution.
Identification of breaker blocks (invalidated zones) to visualize market structure shifts.
Optional bullish and bearish trade signals when zones are retested.
Clear, visually optimized plotting for efficient chart interpretation.
Functionality & Core Logic
The indicator continuously scans recent price data for swing highs/lows and combines them with optional volume and ATR conditions to validate potential zones.
Demand Zones are formed when price action indicates accumulation or a strong bullish rejection from a low area.
Supply Zones are created when distribution or strong bearish rejection occurs near local highs.
Breaker Blocks appear when existing zones are invalidated by price, helping traders visualize potential market structure shifts.
Bullish and bearish signals appear when price re-enters an active zone or breaks through a breaker block.
Parameters & Customization
Demand Zones / Supply Zones: Enable or disable each individually.
Breaker Zones: Activate breaker block detection for invalidated zones.
Volume Filter: Optional filter to only confirm zones when volume exceeds its long-term average by a user-defined multiplier.
ATR Filter: Optional filter for volatility confirmation, ensuring zones form under strong momentum conditions.
Swing Length: Controls the number of bars used to detect structural pivots.
Sensitivity Controls: Adjustable ATR and volume multipliers to fine-tune detection responsiveness.
Signals: Toggle for on-chart bullish (▲) and bearish (▼) signal plotting when price interacts with zones.
Color Customization: User-defined bullish and bearish colors for both standard and breaker zones.
Core Calculations
Zones are detected using pivot highs and lows with a defined lookback and lookahead period.
Additional filters apply if ATR and volume are enabled, requiring conditions like “ATR > average * multiplier” and “Volume > average * multiplier.”
Detected zones are merged if overlapping, keeping the chart clean and logical.
When price breaks through a zone, the original box is closed, and a new breaker zone is plotted automatically.
Bullish and bearish markers appear when zones are retested from the opposite side.
Visualization & Display
Demand zones are shaded in semi-transparent bullish color (default: blue).
Supply zones are shaded in semi-transparent bearish color (default: red).
Breaker zones appear when previous imbalances are broken, helping to spot structural shifts.
Optional arrows (▲ / ▼) indicate potential buy or sell reactions on zone interaction.
Use Cases
Identify institutional areas of accumulation (demand) or distribution (supply).
Detect potential breakout traps and market structure shifts using breaker zones.
Combine with other tools such as volume profile, EMA, or liquidity indicators for deeper confirmation.
Observe retests and reactions of zones to anticipate possible reversals or continuations.
Apply multi-timeframe analysis to align higher timeframe zones with lower timeframe entries.
Limitations & Recommendations
The indicator does not predict future price movement; it highlights structural imbalances only.
Performance depends on chosen swing length and sensitivity — users should optimize parameters for each market.
Works best in volatile markets where supply and demand imbalances are clearly expressed.
Should be used as part of a broader trading framework, not as a standalone signal generator.
Markets & Timeframes
The “Quantura – Supply & Demand Zone Detection” indicator is suitable for all asset classes including cryptocurrencies, Forex, indices, commodities, and equities. It performs reliably across multiple timeframes, from intraday scalping to higher timeframe swing analysis.
Author & Access
Developed 100% by Quantura. Published as a protected source script indicator. Access is free.
Important
This description complies with TradingView’s Script Publishing and House Rules. It clearly explains the indicator’s originality, underlying logic, functionality, and intended use without unrealistic claims or performance guarantees.
FTI - AlertFlow Trend Index (FTI) – Alert
Flow Trend Index (FTI) – Analytica (+ Alert) combines momentum, trend, and volatility into a data-driven analytical view—displayed directly on your chart and candlesticks. It builds on FTI-Core by revealing the numerical values behind each visual element, turning market flow into measurable insight.
FTI-Alert then adds configurable automation, notifying you in real time when the market enters overbought or oversold conditions.
Analytica shows how strongly the market is moving (flow), where its adaptive baseline lies (trend), and how far price has stretched from equilibrium (volatility).
This deeper layer helps analysts interpret when the market is gaining strength, losing momentum, or shifting direction, and especially when conditions are overbought or oversold.
• Smoothed RSI (Heikin-Ashi Powered)
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Transforms RSI into color-coded candles with visible RSI values.
Heikin-Ashi smoothing filters noise, exposing authentic momentum and exhaustion levels.
-See and measure momentum simultaneously.
• McGinley Dynamic Line
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Adaptive moving average that adjusts speed to market volatility.
In Analytica, you can view the exact McGinley value and Δ % distance from price, providing a real-time sense of stretch or compression.
→ Quantifies rhythm between trend and pause.
• FIBB Cloud (Fibonacci ATR Bands)
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• Analytical Enhancements
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RSI Number Overlay on each candle (live values)
Analytical Table showing RSI · McGinley · Δ % vs McGinley
Custom Advanced RSI Ranges for precise zone control
Adjustable themes, text size, and line style
See it. Measure it. Understand it.
In short:
FTI-Analytica merges visual flow and analytical depth.
It reveals the true numerical forces behind each move —
FTI – Analytica shows the true numerical information behind each Data point.
No signals or alerts are generated — the indicator is intended solely for visualization, study, and educational purposes.
© Zyro Trades. All rights reserved.
Zyro™ and FTI™ are unregistered trademarks of Zyro Trades.
QuantumFlow MTF SystemQuantumFlow MTF System © 2025
Multi-Timeframe Directional Flow & Volatility Alignment Engine
QuantumFlow MTF System is designed to synchronize volatility- and trend-based signals from multiple timeframes into a single, structured view of market flow.
Concept
The system evaluates confirmed Supertrend directions from several lower timeframes, then aggregates them into normalized bullish/bearish values. These values are combined with dual-layer EMA momentum filters to verify directional strength. The resulting matrix provides a precise snapshot of alignment across short- to medium-term market structures.
Unlike classical ATR-based systems, QuantumFlow employs multiple ATR layers with multiple deviation factors that have been extensively tested over the years.
This multi-ATR framework acts as an adaptive volatility filter, allowing each asset class to respond dynamically to its intrinsic volatility profile.
The result is a robust and consistent analytical engine capable of adapting to varying market conditions across assets and timeframes.
How It Works
- Confirmed Multi-Timeframe Supertrend:
Each timeframe calculates a close-confirmed Supertrend direction, preventing repainting and ensuring signal reliability.
- Multi-ATR Volatility Model:
Several ATR instances with distinct deviation multipliers define volatility thresholds that adjust sensitivity across market conditions.
- Dual EMA Structure:
Two independent EMA layers act as momentum validators to confirm or filter each Supertrend direction.
- Flow Totals Engine:
The script sums all directional states into a real-time ratio of bullish vs bearish conditions, visualized through color-coded totals.
- Adaptive Alerts:
Optional thresholds allow traders to receive alerts when directional imbalance reaches predefined intensity levels.
Use Cases
- Identify when multiple timeframes align in the same trend direction.
- Quantify the relative dominance of bullish or bearish pressure.
- Filter trades using adaptive multi-ATR volatility filters per asset type.
- Confirm entries by validating multi-timeframe directional consensus.
Chart Display
QuantumFlow displays a structured table showing the state of each analyzed timeframe and the current flow balance. Works seamlessly on any instrument and timeframe.
This invite-only indicator provides a systematic way to analyze directional flow alignment using a multi-ATR volatility engine combined with momentum synchronization across multiple timeframes.
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Author’s Instructions:
To request access, please contact the author privately through the TradingView profile.
Volatility Resonance CandlesVolatility Resonance Candles visualize the dynamic interaction between price acceleration, volatility, and volume energy.
They’re designed to reveal moments when volatility expansion and directional momentum resonate — often preceding strong directional moves or reversals.
🔬 Concept
Traditional candles display direction and range, but they miss the energetic structure of volatility itself.
This indicator introduces a resonance model, where ATR ratio, price acceleration, and volume intensity combine to form a composite signal.
* ATR Resonance: compares short-term vs. long-term volatility
* Acceleration: captures the rate of price change
* Volume Energy: reinforces the move’s significance
When these components align, the candle color “resonates” — brighter, more intense candles signal stronger volatility–momentum coupling.
⚙️ Features
* Adaptive Scaling
Normalizes energy intensity dynamically across a user-defined lookback period, ensuring consistency in changing market conditions.
* Power-Law Transformation
Optional non-linear scaling (gamma) emphasizes higher-energy events while keeping low-intensity noise visually subdued.
* Divergence Mode
When enabled, colors can invert to highlight energy divergence from candle direction (e.g., bearish pressure during bullish closes).
* Customizable Styling
Full control over bullish/bearish base colors, transparency scaling, and threshold sensitivity.
🧠 Interpretation
* Bright / High-Intensity Candles → Strong alignment of volatility and directional energy.
Often signals the resonant phase of a move — acceleration backed by volatility expansion and volume participation.
* Dim / Low-Intensity Candles → Energy dispersion or consolidation.
These typically mark quiet zones, pauses, or inefficient volatility.
* Opposite-Colored Candles (if divergence mode on) → Potential inflection zones or hidden stress in the trend structure.
⚠️ Disclaimer
This script is for educational purposes only.
It does not constitute financial advice, and past performance is not indicative of future results. Always do your own research and test strategies before making trading decisions.
Volatility Dashboard (ATR-Based)Here's a brief description of what this indicator does:
- This measures volatility of currents based on ATR (Average True Range) and plots them against the smoothed ATR baseline (SMA of ATR for the same periods).
- It categorizes the market as one of the three regimes depending on the above-mentioned ratio:
- High Volatility (ratio > 1.2)
- Normal Volatility (between 0.8 and 1.2),
|- Low Volatility (ratio < 0.8, green)
- For each type of trading regime, Value Area (VA) coverage to use: for example: 60-65% in high vol trade regimes, 70% in normal trade regimes, 80-85% in low trade regimes
* What you’ll see on the chart:
- Compact dashboard in the top-right corner featuring:
- ATR (present, default length 20)
- ATR Avg (ATR baseline)
- The volatility regime identified based on the color-coded background and the coverage recommended for the VA.
Important inputs that can be adjusted:
- ATR Length (default 20) - “High/Low volatility thresholds” (default values: 1.2 – The VA coverage recommendations for each scheme (text) Purpose: - Quickly determine whether volatility is above/below average and adjust the coverage of the Value Area.
If you're using this for the GC1! Use 14 ATR Length, For ES or NQ Use Default Setting(20)
Golden Ladder – Louay Joha (Wave & Gann Hi/Lo + ATR R-Levels)Overview
Golden Ladder is a momentum-and-structure tool that detects three-bar ladder waves and filters them with a Gann Hi/Lo regime guide (SMA-based). When a valid wave aligns with the current Hi/Lo bias and passes optional market filters (ADX, RSI, and proximity to recent extremes), the script prints BUY/SELL n labels (n = wave index) and draws a complete Entry / SL / TP1–TP4 ladder using ATR-based risk units (R) or fixed caps—configured for clarity and consistency. The script also keeps the chart clean: the last trade remains fully drawn while historical groups are trimmed to compact “ENTRY-only” stubs.
Why these components together (originality)
Three-bar ladder captures short-term momentum structure (progressively higher highs/lows for buys; the reverse for sells).
Gann Hi/Lo (SMA of highs/lows with a directional state) acts as a regime filter, reducing counter-trend ladders.
ATR-based R ladder turns signals into an actionable plan: a volatility-aware SL and TP1–TP4 that scale across instruments/timeframes.
Smart Entry filters (ADX strength, RSI extremes, and distance from recent top/bottom using ATR buffers) seek to avoid low-quality, stretched entries.
Slim history keeps only a short ENTRY stub for prior groups, so the signal you just got is always the most readable.
This is not a mere mashup; each layer constrains the others to produce fewer, clearer setups.
How it works (high-level logic)
Regime (Gann Hi/Lo):
Compute SMA(high, HPeriod) and SMA(low, LPeriod).
Direction state HLv flips when the close crosses above/below its track; one unified Hi/Lo guide is plotted.
Ladder signal (structure + confirmation):
BUY ladder: three consecutive green bars with rising highs and rising lows and HLv == +1.
SELL ladder: mirror conditions with HLv == -1.
Signals evaluate intrabar and are controlled by Smart Entry filters (ADX/RSI/extreme checks).
Risk ladder (R-based or capped):
Default: risk = ATR(atr_len) × SL_multiple and TPs in R.
Optional fixed caps by timeframe (e.g., M1/M5) using USD per point.
Longs: SL = entry – risk; TPi = entry + (Ri × risk).
Shorts: SL = entry + risk; TPi = entry – (Ri × risk).
All levels auto-reflow to the right as bars print.
Chart hygiene:
The latest trade shows ENTRY/SL/TP1–TP4 fully.
Older trades are automatically trimmed (only a short ENTRY line remains, with optional label).
Alerts:
BUY – Smart Entry (Tick) & SELL – Smart Entry (Tick) fire on live-qualified signals.
You can connect alerts to your automation, respecting your broker’s risk controls.
Inputs (English summary of UI)
Label settings: label size; ATR-based vs fixed-tick offsets; leader line width/transparency; horizontal label shift.
Gann Hi/Lo: HIGH Period (HPeriod), LOW Period (LPeriod).
Market filters: ADX (length, smoothing, minimum), RSI (length + caps), recent extremes (lookback + ATR buffer).
Entry/SL/TP Levels: TP1–TP4 (R), label right-shift, show last-trade prices on labels.
Fixed SL Caps: per-timeframe caps (M1/M5) via USD per point.
How to use
Apply on your instrument/timeframe; tune H/L periods and filters to your market (e.g., XAUUSD on M1/M5).
Favor signals aligned with the Hi/Lo regime; tighten filters (higher ADX, stricter RSI caps) to reduce noise.
Choose ATR-Risk or fixed caps depending on your preferences.
The drawing policy ensures the most recent trade remains front-and-center.
Notes & limitations
Signals can evaluate intrabar; MA-based context is inherently lagging.
ATR-based ladders adapt to volatility; extreme spikes can widen risk.
This is a technical analysis tool, not financial advice.
ATR x Trend x Volume SignalsATR x Trend x Volume Signals is a multi-factor indicator that combines volatility, trend, and volume analysis into one adaptive framework. It is designed for traders who use technical confluence and prefer clear, rule-based setups.
🎯 Purpose
This tool identifies high-probability market moments when volatility structure (ATR), momentum direction (CCI-based trend logic), and volume expansion all align. It helps filter out noise and focus on clean, actionable trade conditions.
⚙️ Structure
The indicator consists of three main analytical layers:
1️⃣ ATR Trailing Stop – calculates two adaptive ATR lines (fast and slow) that define volatility context, trend bias, and potential reversal points.
2️⃣ Trend Indicator (CCI + ATR) – uses a CCI-based logic combined with ATR smoothing to determine the dominant trend direction and reduce false flips.
3️⃣ Volume Analysis – evaluates volume deviations from their historical average using standard deviation. Bars are highlighted as medium, high, or extra-high volume depending on intensity.
💡 Signal Logic
A Buy Signal (green) appears when all of the following are true:
• The ATR (slow) line is green.
• The Trend Indicator is blue.
• A bullish candle closes above both the ATR (slow) and the Trend Indicator.
• The candle shows medium, high, or extra-high volume.
A Sell Signal (red) appears when:
• The ATR (slow) line is red.
• The Trend Indicator is red.
• A bearish candle closes below both the ATR (slow) and the Trend Indicator.
• The candle shows medium, high, or extra-high volume.
Only one signal can appear per ATR trend phase. A new signal is generated only after the ATR direction changes.
❌ Exit Logic
Exit markers are shown when price crosses the slow ATR line. This behavior simulates a trailing stop exit. The exit is triggered one bar after entry to prevent same-bar exits.
⏰ Session Filter
Signals are generated only between the user-defined session start and end times (default: 14:00–18:00 chart time). This allows the trader to limit signal generation to active trading hours.
💬 Practical Use
It is recommended to trade with a fixed risk-reward ratio such as 1 : 1.5. Stop-loss placement should be beyond the slow ATR line and adjusted gradually as the trade develops.
For better confirmation, the Trend Indicator timeframe should be higher than the chart timeframe (for example: trading on 1 min → set Trend Indicator timeframe to 15 min; trading on 5 min → set to 1 hour).
🧠 Main Features
• Dual ATR volatility structure (fast and slow)
• CCI-based trend direction filtering
• Volume deviation heatmap logic
• Time-restricted signal generation
• Dynamic trailing-stop exit system
• Non-repainting logic
• Fully optimized for Pine Script v6
📊 Usage Tip
Best results are achieved when combining this indicator with additional technical context such as support-resistance, higher-timeframe confirmation, or market structure analysis.
📈 Credits
Inspired by:
• ATR Trailing Stop by Ceyhun
• Trend Magic by Kivanc Ozbilgic
• Heatmap Volume by xdecow
Volatility Spike AlertsVolatility Spike Alerts can be configured to alert on a manually set multiple of volatility or dynamically. Volatility is calculated off a customizable True Range and alerts upon bar close.
SuperTrend Cyan — Split ST & Triple Bands (A/B/C)SuperTrend Cyan — Split ST & Triple Bands (A/B/C)
✨ Concept:
The SuperTrend Cyan indicator expands the classical SuperTrend logic into a split-line + triple-band visualization for clearer structure and volatility mapping.
Instead of a single ATR-based line, this tool separates SuperTrend direction from volatility envelopes (A/B/C), providing a layered view of both regime and range compression.
✨ The design goal:
Preserve the simplicity of SuperTrend
Add volatility context via multi-band envelopes
Provide a compact MTF (Multi-Timeframe) summary for broader trend alignment
✨ How It Works
1. SuperTrend Core (Active & Opposite Lines)
Uses ATR-based bands (Factor × ATR-Length).
Active SuperTrend is plotted according to current regime.
Opposite SuperTrend (optional) shows potential reversal threshold.
2. Triple Band System (A/B/C)
Each band (A, B, C) scales from the median price (hl2) by different ATR multipliers.
A: Outer band (wider, long-range context)
B: Inner band (mid-range activity)
C: Core band (closest to price, short-term compression)
Smoothness can be controlled with EMA.
Uptrend fills are lime-toned, downtrend fills are red-toned, with adjustable opacity (gap intensity).
3. Automatic Directional Switch
When the regime flips from up → down (or vice versa), the overlay automatically switches between lower and upper bands for a clean transition.
4. Multi-Timeframe SuperTrend Table
Displays SuperTrend direction across 5m, 15m, 1h, 4h, and 1D frames.
Green ▲ = Uptrend, Red ▼ = Downtrend.
Useful for checking cross-timeframe trend alignment.
✨ How to Read It
Green SuperTrend + Lime Bands
- Uptrend regime; volatility expanding upward
Red SuperTrend + Red Bands
- Downtrend regime; volatility expanding downward
Narrow gaps (A–C)
- Low volatility / compression (potential squeeze)
Wide gaps
- High volatility / active trend phase
Opposite ST line close to price
- Early warning for regime transition
✨ Practical Use
Identify trend direction (SuperTrend color & line position).
Assess volatility conditions (band width and gap transparency).
Watch for MTF alignment: consistent up/down signals across 1h–4h–1D = strong structural trend.
Combine with momentum indicators (e.g., RSI, DFI, PCI) for confirmation of trend maturity or exhaustion.
✨ Customization Tips
ST Factor / ATR Length
- Adjust sensitivity of SuperTrend direction changes
Band ATR Length
- Controls overall smoothness of volatility envelopes
Band Multipliers (A/B/C)
- Define how wide each volatility band extends
Gap Opacity
- Affects visual contrast between layers
MTF Table
- Enable/disable multi-timeframe display
✨ Educational Value
This script visualizes the interaction between trend direction (SuperTrend) and volatility envelopes, helping traders understand how price reacts within layered ATR zones.
It also introduces a clean MTF (multi-timeframe) perspective — ideal for discretionary and system traders alike.
✨ Disclaimer
This indicator is provided for educational and research purposes only.
It does not constitute financial advice or a trading signal.
Use at your own discretion and always confirm with additional tools.
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📘 한국어 설명 (Korean translation below)
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✨개념
SuperTrend Cyan 지표는 기존의 SuperTrend를 확장하여,
추세선 분리(Split Line) + 3중 밴드 시스템(Triple Bands) 으로
시장의 구조적 흐름과 변동성 범위를 동시에 시각화합니다.
단순한 SuperTrend의 강점을 유지하면서도,
ATR 기반의 A/B/C 밴드를 통해 변동성 압축·확장 구간을 직관적으로 파악할 수 있습니다.
✨ 작동 방식
1. SuperTrend 코어 (활성/반대 라인)
ATR×Factor를 기반으로 추세선을 계산합니다.
현재 추세 방향에 따라 활성 라인이 표시되고, “Show Opposite” 옵션을 켜면 반대편 경계선도 함께 보입니다.
2. 트리플 밴드 시스템 (A/B/C)
hl2(중간값)를 기준으로 ATR 배수에 따라 세 개의 밴드를 계산합니다.
A: 외곽 밴드 (가장 넓고 장기 구조 반영)
B: 중간 밴드 (중기적 움직임)
C: 코어 밴드 (가격에 가장 근접, 단기 변동성 반영)
EMA 스무딩으로 부드럽게 조정 가능.
업트렌드 구간은 라임색, 다운트렌드는 빨간색 음영으로 표시됩니다.
3. 자동 전환 시스템
추세가 전환될 때(Up ↔ Down), 밴드 오버레이도 자동으로 교체되어 깔끔한 시각적 구조를 유지합니다.
4. MTF SuperTrend 테이블
5m / 15m / 1h / 4h / 1D 프레임별 SuperTrend 방향을 표시합니다.
초록 ▲ = 상승, 빨강 ▼ = 하락.
복수 타임프레임 정렬 확인용으로 유용합니다.
✨ 해석 방법
초록 SuperTrend + 라임 밴드
- 상승 추세 및 확장 구간
빨강 SuperTrend + 레드 밴드
- 하락 추세 및 확장 구간
밴드 폭이 좁음
- 변동성 축소 (스퀴즈)
밴드 폭이 넓음
- 변동성 확장, 추세 강화
반대선이 근접
- 추세 전환 가능성 높음
✨ 활용 방법
SuperTrend 색상으로 추세 방향을 확인
A/B/C 밴드 폭으로 변동성 수준을 판단
MTF 테이블을 통해 복수 타임프레임 정렬 여부 확인
RSI, DFI, PCI 등 다른 지표와 함께 활용 시, 추세 피로·모멘텀 변화를 조기에 파악 가능
✨ 교육적 가치
이 스크립트는 추세 구조(SuperTrend) 와 변동성 레이어(ATR Bands) 의 상호작용을
시각적으로 학습하기 위한 교육용 지표입니다.
또한, MTF 구조를 통해 시장의 “위계적 정렬(hierarchical alignment)”을 쉽게 인식할 수 있습니다.
✨ 면책
이 지표는 교육 및 연구 목적으로만 제공됩니다.
투자 판단의 책임은 사용자 본인에게 있으며, 본 지표는 매매 신호를 보장하지 않습니다.
Directional Flow Index (DFI) — v2.4Directional Flow Index (DFI) — v2.4
✨ 1) What DFI measures (conceptual)
DFI aims to quantify directional flow —i.e., whether trading activity is skewed toward buying (supportive pressure) or selling (resistive pressure) —and then present it as a normalized oscillator that is easy to compare across symbols and timeframes. It is designed to highlight high-confidence thrusts within a prevailing trend and to detect fatigue as momentum decays.
Positive DFI (> 0) : net buy-side pressure dominates.
Negative DFI (< 0) : net sell-side pressure dominates.
Magnitude reflects intensity after de-trending and Z-score normalization.
While multiple “flow” proxies exist, this version emphasizes a True Volume Delta (TVD) workflow (default) that tallies buy vs. sell volume from a lower timeframe (LTF) inside an anchor timeframe bar, producing a more realistic per-bar delta when supported by the symbol’s data.
✨ 2) Core pipeline (how it works)
Flow construction (TVD default).
Using ta.requestVolumeDelta(LTF, Anchor), the script approximates up-volume vs. down-volume inside each anchor bar.
A per-bar delta is derived (with a reset on anchor switches to avoid jumps).
If TVD is unsupported on the symbol, DFI can fall back to synthetic proxies (e.g., Synthetic Delta Volume: (close-low)/(high-low) × vol), but TVD is the intended default.
CVD-style accumulation.
Per-bar delta is cumulatively summed into a running flow line (CVD-like), providing temporal context to the net pressure.
High-pass de-trending + smoothing.
A high-pass step (EMA-based) removes slow drifts (trend bias) from the CVD line.
A short EMA smoothing reduces noise while preserving thrust.
Z-score normalization.
The de-trended series is standardized (rolling mean/std), so DFI readings are comparable across markets/timeframes.
The Signal line is an EMA of DFI and is used for momentum cross checks.
SuperTrend (regime filter).
A lightweight SuperTrend (ATR len=5, factor=6 by default) provides up/down regime.
DFI coloring and alerts can be conditioned on the regime (optional).
Fatigue % (0–100).
Tracks energy (EMA of |DFI|) vs. peak energy (with adaptive half-life decay).
When energy stays far below the decaying peak, Fatigue% rises, suggesting momentum exhaustion.
The decay rate adapts to DFI volatility and regime alignment, so decay is faster when thrusts are misaligned with trend, slower when aligned and orderly.
Gradient highlight (confidence shading).
Histogram color transparency blends three ingredients:
DFI strength (|DFI| vs user-set bands)
Low fatigue (fresher thrusts score higher)
Regime alignment (DFI sign vs SuperTrend direction)
Result: darker bars indicate higher confidence in thrust quality; faint bars warn of weaker, stale, or misaligned pushes.
✨ 3) Interpreting the plots
DFI histogram (columns):
Green above zero for buy-side thrust, Red below zero for sell-side thrust.
Opacity encodes confidence (darker = stronger alignment & lower fatigue).
Signal (line): EMA of DFI used for momentum regime checks.
Zero line: structural reference for thrust crossovers.
Fatigue Table (optional): shows Fatigue%, SuperTrend regime, and selected Flow Method.
✨ 4) Alerts (examples)
Long Thrust: DFI crosses above zero while in Up regime.
Short Thrust: DFI crosses below zero while in Down regime.
Loss of Momentum (Up): DFI crosses below Signal while DFI > 0 (warns of weakening long thrust).
Loss of Momentum (Down): DFI crosses above Signal while DFI < 0 (warns of weakening short thrust).
✨ 5) How to set the TVD Lower TF (important)
TVD needs a sensible LTF/Anchor ratio for balanced accuracy and performance. As a rule of thumb, aim for ~30–120 LTF bars inside one anchor bar:
1h chart → 1–2m LTF (if seconds not available).
4h → 3–5m.
1D → 15–30m.
1W → 1–2h.
1M → 4h–1D.
Notes: Some symbols/exchanges do not provide seconds. Too small an LTF can be heavy/noisy; too large becomes coarse/laggy.
✨ 6) Practical usage patterns
Trend-following entries:
Look for DFI > 0 in Up regime (green) with low Fatigue%, and DFI crossing above zero or above its Signal.
Prefer darker (higher-confidence) histogram bars.
Trend-following exits / de-risking:
Rising Fatigue% toward your high threshold (e.g., 80–90) suggests exhaustion.
DFI vs Signal crosses against your position can be used to scale down.
Avoid chop:
When DFI oscillates around zero with faint bars and Fatigue% rises quickly, quality is low—be selective.
✨ 7) Inputs (summary)
Flow Method: default True Volume Delta (LTF scan); synthetic fallbacks available.
Processing: Detrend length, smoothing EMA, Z-score window, Signal EMA.
Regime: SuperTrend ATR length & factor (default 5 & 6).
Fatigue%: EMA length, base half-life, adaptive volatility coupling (enable/disable, sensitivity).
UI Highlight: strength thresholds, fatigue cap, alignment weights, opacity range.
Table: toggle Fatigue table, decimals, position.
✨ 8) Compatibility & performance notes
TVD requires supported data for the symbol; if unavailable, DFI can switch to synthetic deltas.
Smaller LTFs increase request load and may introduce noise; prefer a balanced ratio.
The indicator is designed to be self-contained; no other overlays are needed to read the outputs.
✨ 9) Limitations and good practice
This is an oscillator, not a price predictor. Extreme values can persist in strong trends.
Normalization (Z-score) makes values comparable, but distributions differ across assets/timeframes.
Always combine with risk management and position sizing; avoid interpreting any single condition as a guarantee.
✨ 10) Disclaimer
This script is for educational purposes only and does not constitute financial advice. Trading involves risk, including possible loss of principal.
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한국어 번역 / Korean version below
✨DFI란 무엇인가?
DFI는 시장의 매수·매도 우위를 Flow(흐름) 형태로 분석하여
그 에너지를 정규화된 오실레이터로 표현하는 지표입니다.
가격의 단순 변동이 아니라, “얼마나 일관성 있는 압력(Flow)이 유지되는가”를 보여줍니다.
DFI > 0: 매수세 우위 (상방 압력)
DFI < 0: 매도세 우위 (하방 압력)
값의 크기: 모멘텀의 강도 (Z-score 기반 정규화)
기본 방식인 True Volume Delta (TVD) 는 상위 봉(Anchor) 내부의 하위 타임프레임(LTF) 데이터를 스캔해
실제 매수/매도 체결량 차이를 계산합니다.
이로써 단순 가격 변화가 아닌 실제 체결 흐름의 방향성을 반영합니다.
✨DFI의 계산 과정 (개념적 흐름)
1. Flow 계산 (TVD 또는 대체 방식)
ta.requestVolumeDelta()를 사용하여 상·하위 TF간 볼륨 델타를 계산합니다.
TVD 미지원 심볼은 자동으로 Synthetic Delta Volume 등 대체 방식으로 전환됩니다.
2. 누적(CVD) 구성
Flow를 CVD처럼 누적하여 순매수/순매도 압력을 누적 추적합니다.
3. 고역통과(High-pass) 필터
누적 흐름(CVD)에서 장기 추세 성분을 제거하여 순수한 변동 에너지만 남깁니다.
4. Z-score 정규화
평균과 표준편차로 표준화해 DFI의 크기를 **일정한 스케일(0 중심)**로 만듭니다.
다른 종목·시간대 간 비교가 용이합니다.
5. SuperTrend 레짐(추세 상태) 인식
ATR 기반 ST(기본: Length=5, Factor=6)를 통해 시장이 상승/하락/중립 중 어디에 있는지를 감지합니다.
DFI 컬럼 색상 및 알림은 이 ST 방향에 따라 동작합니다
6. Fatigue% (피로도 지수)
최근 에너지 평균과 역사적 피크(감쇠)를 비교해 0~100%로 “신선도”를 표현합니다.
높을수록 피로한 상태, 낮을수록 신선한 추세.
또한 변동성과 정렬 여부에 따라 Adaptive Half-Life로 감쇠 속도가 자동 조정됩니다.
7. 그라디언트 하이라이트 (Gradient Highlight)
DFI 강도(|DFI|), Fatigue%, 레짐 정렬 상태를 종합해 히스토그램의 투명도를 연속적으로 변화시킵니다.
강하고 신선하며 정렬된 추세일수록 더 진하게 표시, 반대로 약하거나 피로한 구간은 흐리게 표시됩니다.
✨DFI 차트 해석법
DFI 히스토그램 (컬럼):
위로 향한 초록색 = 매수 우위,
아래로 향한 빨강색 = 매도 우위.
진할수록 “신뢰도 높은 흐름(Aligned + Low Fatigue)”
흐릴수록 “노이즈성 움직임 / 피로 구간”
Signal 선:
DFI의 EMA.
DFI와의 교차는 모멘텀 전환 신호로 사용.
Zero 선:
추세 전환의 기준선.
Fatigue Table:
Fatigue%, Regime, Flow Method 정보를 실시간 표시.
✨알림 조건 (Alerts)
DFI Long Thrust: 상승 레짐에서 DFI가 0 위로 돌파.
DFI Short Thrust: 하락 레짐에서 DFI가 0 아래로 돌파.
Loss of Momentum (Up): DFI>0 상태에서 Signal 아래로 하락.
Loss of Momentum (Down): DFI<0 상태에서 Signal 위로 상승.
TVD (True Volume Delta) 설정 가이드
TVD는 Anchor:LowerTF = 약 30~120배 비율이 가장 효율적입니다.
1시간봉 -> 30초~2분
4시간봉 -> 2~8분
일봉(1D) -> 12~48분
주봉(1W) -> 1~4시간
월봉(1M) -> 4시간~ 1일
참고:
일부 거래소는 초 단위를 지원하지 않습니다 → 분 단위로 대체.
너무 짧은 LTF → 과부하/노이즈,
너무 긴 LTF → 신호 지연/정밀도 저하.
✨활용 전략 예시
추세 추종 (Trend-following):
Up Regime에서 DFI>0 & Fatigue% 낮을 때 롱 신호 우선.
DFI가 Signal 위로 돌파하는 시점이 thrust 시작점.
리스크 축소 (De-risking):
Fatigue%가 80~90 이상이면 추세 과열로 간주.
DFI가 Signal을 역방향으로 교차 시 포지션 축소 고려.
횡보 회피:
DFI가 0선 부근에서 얕게 진동하며 흐릿하게 표시될 때는
방향성이 약한 구간 → 진입 회피.
✨한계 및 권장 사용법
TVD는 심볼/거래소의 지원 여부에 따라 제한될 수 있습니다.
Z-score 정규화로 수치 간 비교는 용이하지만, 자산마다 분포 특성이 달라 절대값 해석은 주의 필요.
Fatigue%는 “모멘텀 신선도” 개념이지, 반전 타이밍이 아닙니다.
리스크 관리 및 전략적 컨텍스트 안에서 사용하세요.
✨면책 (Disclaimer)
이 스크립트는 교육용 도구(Educational purpose)이며,
투자 조언(Financial advice)이 아닙니다.
모든 트레이딩에는 손실의 위험이 있으며,
DFI의 신호나 수치가 수익을 보장하지 않습니다.
✨정리
DFI는 단순한 “추세 오실레이터”가 아니라,
에너지의 흐름 + 피로도 + 레짐 정렬이라는 3요소를 결합해
“지속 가능한 방향성”을 시각적으로 표현하는 지표입니다.
즉, 단순한 ‘방향’이 아니라 “추세의 질(Quality)”을 보여주는
새로운 형태의 Flow 분석 도구입니다.
NY Open 5 minute Range (5m Box Extended)Draws a box around the first 5 minute candle for the New York session.
THAIT Moving Averages Tight within # ATR EMA SMA convergence
THAIT(tight) indicator is a powerful tool for identifying moving average convergence in price action. This indicator plots four user-defined moving averages (EMA or SMA). It highlights moments when the MAs converge within a user specified number of ATRs, adjusted by the 14-period ATR, signaling potential trend shifts or consolidation.
A convergence is flagged when MA1 is the maximum, the spread between MAs is tight, and the price is above MA1, excluding cases where the longest MA (MA4) is the highest. The indicator alerts and visually marks convergence zones with a shaded green background, making it ideal for traders seeking precise entry or exit points.
Kalman Exponential SuperTrendThe Kalman Exponential SuperTrend is a new, smoother & superior version of the famous "SuperTrend". Using Kalman smoothing, a concept from the EMA (Exponential Moving Average), this script leverages the best out of each and combines it into a single indicator.
How does it work?
First, we need to calculate the Kalman smoothed source. This is a kind of complex calculation, so you need to study it if you want to know how it works precisely. It smooths the source of the SuperTrend, which helps us smooth the SuperTrend.
Then, we calculate "a" where:
n = user defined ATR length
a = 2/(n+1)
Now we calculate the ATR over "n" period. Classical calculation, nothing changed here.
Now we calculate the SuperTrend using the Kalman smoothed source & ATR where:
kalman = kalman smoothed source
ATR = Average True Range
m = Factor chosen by user.
Upper Band = kalman + ATR * m
Lower Band = kalman - ATR * m
Now we just smooth it a bit further using the "a" and a concept from the EMA.
u1 = Upper Band a bar ago
l1 = Lower Band a bar ago
u = Upper Band
l = Lower Band
Upper = u1 * (1-a) + u * a
Lower = l1 * (1-a) + u * a
When the classical (not Kalman) source crosses above the Upper, it indicates an uptrend. When it crosses below the Lower, it indicates a downtrend.
Methodology & Concepts
When I took a look at the classical SuperTrend => It was just far too slow, and if I made it faster it was noisy as hell. So I decided I would try to make up for it.
I tried the gaussian, bilateral filter, but then I tried kalman and that worked the best, so I added it. Now it was still too noisy and unconsistent, so I revisited my knowledge of concepts and picked the one from the EMA, and it kinda solved it.
In the core of the indicator, all it does is combine them in a really simple way, but if you go more deeply you see how it fits the puzzlé really well.
It is not about trying out random things´=> but about seeking what it is missing and trying to lessen its bad side.
That is the entire point of this indicator => Offer a unique approach to the SuperTrend type, that lessen the bad sides of it.
I also added different plotting types, this is so everyone can find their favorite
Enjoy Gs!
EdgeBox: MA DistanceEdgeBox: MA Distance adds a clean HUD showing the percentage distance from the current close to your selected moving averages (default: SMA 100/150/200/250). Values are positive when MAs are above price and negative when below. Also includes ATR% (volatility) and RSI(14). Fully customizable: corner position, font sizes, and text/background colors. A fast context panel for trend and volatility at a glance.
ATR Trailing Stop with Entry Date & First-Day MultiplierATR based trailing stop based on a X post of Aksel Kibar.
Smart ATR - Position Sizing for YM Dow JonesSmart ATR includes all basic functionality of ATR + an EMA of ATR. The EMA can give you a baseline or long-term perspective of what ATR normally is. The built-in, automatic sizing tool will display a recommended number of contracts each bar, based upon a multiple of the current ATR. Supports fractional tick values for MYM by clicking the down arrow. Supports fractional ATR values, such as 1.5x. Updates contract sizing on each new bar. This indicator will maintain your RR as volatility increases and decreases. Currently only optimized for YM, will publish other versions if there is an interest.
