Dynamic Sigmoid ATR-Normalized EMA Distance OscillatorDynamic Sigmoid ATR-Normalized EMA Distance Oscillator
Overview
This indicator is built to evaluate trend strength and trend sustainability, not to prioritize mean-reversion calls.
It measures directional pressure relative to a long-term EMA, scales that pressure by current volatility, and maps the result into a stable 0-100 oscillator using a sigmoid transform.
The key advantage is dynamic adaptation: center and regime bands are not static references only, they adjust to evolving oscillator behavior.
This helps separate healthy trend continuation from weak, noisy movement.
Mathematical Construction (No Code Description)
1) Trend baseline:
A long-horizon exponential moving average defines structural direction.
2) Signed distance:
Distance = Price - EMA
Positive values imply price is structurally above baseline; negative values imply below-baseline pressure.
3) Volatility normalization:
Normalized Distance = Distance / ATR
This makes the signal scale-aware across different volatility environments.
4) Nonlinear compression:
Sigmoid(x) = 1 / (1 + e^(-k*x))
The multiplier k controls response sharpness.
The output is then scaled to 0-100.
5) Dynamic center:
Center = EMA of oscillator values (adaptive midpoint).
Optional fixed midpoint mode is available for a classic 50-line reference.
6) Dynamic regime bands:
Upper Band = Center + (StdDev of oscillator * multiplier)
Lower Band = Center - (StdDev of oscillator * multiplier)
These bands expand/contract with oscillator volatility, making the framework regime-aware.
How to Read It (Trend-Focused)
- Oscillator above dynamic center: bullish pressure dominates current regime.
- Oscillator below dynamic center: bearish pressure dominates current regime.
- Persistent distance from center: trend continuation probability is generally stronger.
- Oscillator flattening back toward center: trend sustainability may be weakening.
Long and Short Signal Framework
Long setup concept:
1) Oscillator crosses above dynamic center.
2) Oscillator remains above center for multiple bars (persistence confirmation).
3) Pullbacks that hold above center and re-expand upward can be treated as continuation entries.
Short setup concept:
1) Oscillator crosses below dynamic center.
2) Oscillator remains below center for multiple bars.
3) Bounces that fail near center and rotate down can be treated as continuation entries.
Strength confirmation:
- Rising histogram above zero supports long continuation quality.
- Falling histogram below zero supports short continuation quality.
Example Use Cases (Educational)
Example A - Long trend continuation:
- Market transitions from neutral to bullish as oscillator crosses and holds above center.
- Dynamic upper band begins rising, indicating expanding bullish regime capacity.
- Dips in oscillator that stay above center suggest trend remains structurally intact.
Example B - Short trend continuation:
- Oscillator breaks below center and stays suppressed under it.
- Lower band trends down while histogram remains negative.
- Failed recoveries toward center often mark lower-risk continuation timing.
Example C - Potential trend fatigue:
- Price makes a new directional push, but oscillator fails to sustain distance from center.
- Histogram contracts progressively.
- This can indicate weakening impulse and the need for tighter risk control.
Why Dynamic Components Matter
- A fixed 50-level alone can be too rigid when regime characteristics shift.
- Dynamic center adapts to the oscillator's local equilibrium.
- Dynamic bands adapt to oscillator variance, helping contextualize what is truly "extended" in current conditions.
Inputs (Configurable Parameters)
- EMA Length: structural trend anchor sensitivity.
- ATR Length: volatility normalization depth.
- Sigmoid Multiplier: nonlinear response intensity.
- Use Dynamic Center: adaptive center or fixed 50 reference.
- Center Length: smoothness of adaptive center behavior.
- Band Length: lookback horizon for oscillator variance.
- Band Stdev Multiplier: adaptive band width.
- Visual toggles: gradient and table display options.
Risk and Implementation Notes
- This is an analytical framework, not a guaranteed signal engine.
- Choppy markets can still produce false transitions.
- Parameter calibration should be done per symbol and timeframe with independent testing.
- Position sizing, stop logic, and risk limits remain essential.
Publishing and Compliance Notes
- Educational and analytical content only; not financial advice.
- No guaranteed returns, no performance promises, no misleading language.
- Real-world outcomes vary by market conditions, execution, and risk management.
Indicator
Multi Timeframe Scalper StructureWhat It Does
This indicator generates trend-filtered scalping entries by requiring three independent layers of confirmation before any signal appears. A higher-timeframe trend filter sets the allowed direction. Two separate EMA structure zones on the micro timeframe must both confirm momentum alignment. Only when all three agree does an entry dot print on the chart.
It also includes a real-time signal matrix table that shows which conditions are currently met, an on-chart TP/SL line system for quick risk-reward visualization, and configurable alerts.
How It Works
The indicator operates on two timeframe layers:
Macro layer — A moving average (selectable: EMA, SMA, WMA, or VWMA) is calculated on a higher timeframe you choose (default: 4H). If the closing price on that timeframe is above the MA, the macro trend is bullish. If below, bearish. This acts as a directional gate — no signal can fire against it. The chart background tints green or red to reflect this bias.
Micro layer — Two pairs of EMAs run on the chart timeframe (or a custom micro timeframe), each forming a colored filled zone:
Structure 2 (default periods: 16 and 30) — the wider zone. When its fast EMA is above its slow EMA, the zone fills green, confirming bullish intermediate momentum. Below fills red.
Structure 1 (default periods: 8 and 16) — the tighter zone, used for precise entry timing. A crossover of its fast EMA above the slow EMA is the trigger event for a long entry. A crossunder triggers a short entry.
Entry conditions:
A long entry dot appears when:
The macro layer is bullish (price above the higher-TF MA)
Structure 2 is bullish (fast above slow)
Structure 1 crosses bullish (fast crosses above slow)
A short entry dot appears under the mirror conditions — macro bearish, both structures bearish, Structure 1 crosses down.
Early reversal detection (optional) — When enabled, the indicator can also trigger a signal when Structure 2 flips from bearish to bullish (or vice versa), allowing entry before Structure 1 has crossed, as long as the macro confirms. This captures momentum shifts earlier.
Non-repainting — All higher-timeframe data uses lookahead_off. The "Wait for Candle Close" option (on by default) ensures signals only appear after the candle is fully confirmed.
How the Components Interact
The macro layer decides which direction you are allowed to trade — it is the filter. Structure 2 confirms that intermediate momentum on the chart timeframe has already shifted in that same direction — it is the confirmation. Structure 1 provides the exact timing — its crossover is the trigger that places the entry dot. Each layer serves a distinct purpose: direction, confirmation, and timing. A signal must pass through all three before it appears, which is what reduces noise compared to a single crossover system.
When early reversal detection is active, Structure 2 can also serve as an alternative trigger (its color flip), but only while the macro still confirms. This creates two possible trigger paths under the same directional filter.
How to Use It
Set your macro timeframe meaningfully above your chart timeframe. If you scalp on the 5-minute chart, a 1-hour or 4-hour macro works well. On the 1-minute, try 15 minutes or 1 hour.
The background color tells you the macro bias instantly — green for bullish, red for bearish.
Watch the two filled zones on your chart. When both turn green (or both red) and align with the background color, conditions are building toward a signal.
Entry dots appear at the bottom of the chart for longs (green) and at the top for shorts (red).
The signal matrix table (movable to any corner) shows real-time status of each layer: Macro Trend, Structure 2, Structure 1, and the combined result — LONG, SHORT, or WAIT.
Use the TP/SL tool to project take-profit and stop-loss lines on the chart. Set the direction (Long or Short), optionally enter a manual entry price, and configure your percentages. Up to two partial TP levels can be displayed alongside the main TP.
Set alerts using the built-in alert conditions ("LONG Signal" or "SHORT Signal") to be notified when a confirmed entry fires.
Key Features
Three-layer hierarchical filtering architecture: Each layer has a distinct role — directional gating (macro), momentum confirmation (Structure 2), and entry timing (Structure 1) — and all three must agree simultaneously. This multi-layer approach reduces noise compared to single crossover systems.
Dual EMA structure zones: Two independent pairs of EMAs operating at different speeds provide both intermediate momentum confirmation and precise entry timing under a separate higher-timeframe umbrella.
Early reversal detection: Optional second trigger path that reads when the wider Structure 2 zone changes polarity, allowing entries at the point where intermediate momentum shifts.
Real-time signal matrix: Dashboard view showing which conditions are satisfied in real time, turning the indicator into a structured workflow rather than just a dot generator.
Integrated TP/SL system: On-chart trade management with optional partial targets keeps risk management visible without needing a separate tool.
Non-repainting design: All signals are confirmed and use proper lookahead settings to ensure historical accuracy matches real-time behavior.
Suitability
Markets: Any liquid market — forex pairs, crypto, stock indices, commodities, equities.
Timeframes: Designed for lower chart timeframes (1m, 3m, 5m, 15m) with the macro set higher (1H, 4H). Can also be adapted for intraday swing setups using 15m–1H charts with a daily macro.
Trading style: Trend-following momentum scalping — taking quick entries in the direction of the dominant trend when short-term momentum confirms the higher-timeframe bias. Entries target short directional bursts within established trends, not reversals or range-bound conditions. The built-in candle-close confirmation and the three-layer filter are designed for disciplined, fast-execution scalping where you enter with momentum and exit at predefined percentage targets.
Disclaimer
This indicator is a technical analysis tool, not financial advice. It does not guarantee profits and does not predict future price movements. No indicator can eliminate risk. Past behavior of signals does not ensure future results. Always use proper risk management and assess your own financial situation before entering any trade.
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EMA + RSI Trade Decision Table V2 This indicator is a rule-based trade decision assistant designed for intraday and swing trading.
It does not place trades automatically. Instead, it evaluates market conditions and clearly shows when a Long or Short setup is statistically favorable, using a structured score-based table.
The goal is simple:
👉 Fewer trades, higher quality, full transparency.
Core Concept
The script combines trend regime, RSI behavior, EMA pullbacks, and risk filters into a single decision framework.
Each bar is evaluated and assigned a confidence score (0–100) for:
Long
Short
Only setups that pass all required conditions and reach the minimum score threshold are marked as TRADE READY.
Key Features
1️⃣ Trend / Regime Detection
Bull Regime: EMA50 > EMA100
Bear Regime: EMA50 < EMA100
Optional confirmation using price vs EMA200
Regime is shown clearly at the top of the table
2️⃣ Regime-Based RSI Zones (Advanced)
RSI behavior changes depending on market regime.
This script accounts for that by using four separate RSI zones:
Bull Regime
Long RSI Zone: trend-continuation pullbacks
Short RSI Zone: overextended / exhaustion areas
Bear Regime
Short RSI Zone: weak pullbacks
Long RSI Zone: extreme oversold relief bounces
Neutral regime uses a configurable fallback zone.
➡️ This avoids the classic RSI mistake of using the same levels in all market conditions.
3️⃣ Pullback + Rejection Logic
Trades are only considered if price:
Pulls back into EMA50 or EMA100
Shows rejection confirmation
Bullish candle for Long
Bearish candle for Short
(optional, configurable)
This filters out random RSI signals and focuses on structured pullbacks.
4️⃣ Late Entry & Noise Filters
To avoid bad entries:
❌ Price too far from EMA50 → blocked
❌ EMA50–EMA100 too close → choppy market
❌ Cooldown after EMA50/EMA100 cross → no immediate revenge trades
All blockers are visible in the table.
5️⃣ Confidence Score (0–100)
Each setup is graded using weighted components:
RSI position
RSI confirmation
Pullback & rejection
Trend alignment
EMA200 context
Penalties for distance, cooldown, chop
Grades:
A = High-quality setup
B = Acceptable
C = Low quality
You decide the minimum score required to allow a trade.
6️⃣ Trade Decision Gate
A trade is only marked as EXECUTE (LONG/SHORT) if:
All mandatory conditions are met
Score ≥ your defined threshold
Otherwise, the system shows:
WATCH
PREPARE
NO SETUP
7️⃣ Visual Decision Table
Three display modes:
Compact – quick overview
Compact + Checks – overview + active checks
Full – complete Long & Short breakdown
Each row clearly shows:
Requirement
Current value
Pass / Fail
“To go” distance (how much is missing)
8️⃣ Alerts
Alerts trigger only on state change, not on every bar:
Long Entry
Short Entry
Optional:
Alerts only on candle close (recommended)
How to Use (Step-by-Step)
Recommended Workflow
Choose your timeframe (15m / 30m / 1H works best)
Wait for BULL or BEAR regime
Let price pull back into EMA50 / EMA100
Watch RSI move into the correct regime-based zone
Wait for EXECUTE (LONG / SHORT) status
Manage entry, stop-loss, and take-profit manually
This indicator is a decision filter, not an entry sniper.
Best Practices
Works best in trending markets
Avoid low-liquidity or sideways sessions
Combine with:
Market structure
Support / resistance
Session timing
Do not trade every signal — trade the best scores
Disclaimer
This script is an educational and analytical tool.
It does not provide financial advice and does not guarantee profitable trades.
Always manage risk properly. Ergün Özmen Indicator
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Nova_Stream Indicator V16.1Technical Documentation: Nova_Stream V16.1
Core Methodology
Nova_Stream is a multi-layered trend analysis framework designed for Version 6 of Pine Script. It operates by analyzing the convergence and divergence of two distinct moving average clusters against a long-term institutional baseline. Unlike standard oscillators, Nova_Stream evaluates market "velocity" through linear regression and volatility-adjusted distance metrics.
The Multi-Wave Engine
The system processes price data through 12 specific Exponential Moving Averages (EMAs), divided into two functional groups:
Momentum Cluster (Traders Group): Six blue EMAs (Periods 3 to 15) tracking immediate liquidity and short-term trend shifts.
Value Cluster (Investors Group): Six orange EMAs (Periods 50 to 100) representing the core psychological support and resistance zones of the market.
The Backbone (Institutional Filter): A 200-period EMA that acts as a global trend switch. For a signal to be valid, price action must maintain a specific relationship with this line to ensure institutional alignment.
The Intelligent Dashboard (UI Engine)
The integrated dashboard serves as a real-time data processor. It translates complex mathematical states into a readable format:
Market Status: Uses Linear Regression to determine the slope of the Backbone. If the slope is within the slopeThreshold, the market is classified as RANGE.
Squeeze Radar: Monitors the distance between the Momentum and Value clusters. A "Squeeze" alert is triggered when the distance is less than a fraction of the ATR, signaling potential volatility expansion.
Correction Risk: Measures the standard deviation of price from the Value Cluster. High deviation triggers an OVERBOUGHT/OVERSOLD warning to prevent entries at exhaustion points.
Volume Flow: A cumulative net-volume tracker that filters out low-conviction price moves.
Alert System Architecture
Nova_Stream includes a comprehensive alert suite based on alertcondition. These are designed to be used for both "Execution" and "Risk Management".
Nova/SuperNova Signals: Triggered when all technical layers (Trend, Volume, and MTF) align.
Safe Exit (SF): A specialized alert for closing positions. It triggers when the price shows exhaustion (Overbought/Oversold) and loses its momentum relative to the exitWave.
Multi-Timeframe (MTF) Verification
To increase the probability of success, the script includes a built-in MTF filter. It automatically fetches the trend state of a higher timeframe (e.g., 1-hour trend for a 10-minute chart) to ensure the user is not trading against the dominant market direction.
Disclaimer: This script is an educational and analytical tool only. It is not intended to be financial advice, and should not be used as the sole basis for any investment decision. Trading involves significant risk, and past performance is not indicative of future results. The author of this script shall not be held liable for any financial losses incurred through the use of this tool. Always perform your own due diligence and consult with a certified financial professional before trading. Indicator
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Ultimate RegimeUltimate Regime | MisinkoMaster
Ultimate Regime is an advanced market environment classification tool designed to identify whether an asset is currently operating in a trending or mean-reverting regime. Instead of focusing on entry signals, the indicator concentrates on answering a more fundamental question: what type of market are we trading right now?
By continuously evaluating market structure, volatility behavior, and directional persistence, the script provides a unified regime view that helps traders adapt strategy selection, risk management, and trade expectations to current conditions.
This makes Ultimate Regime particularly valuable for traders using multiple systems, algorithmic frameworks, or discretionary approaches that perform differently depending on market state.
Core Concept
Markets alternate between expansion phases where directional movement dominates and contraction phases where price oscillates around equilibrium. Strategies built for one condition often underperform in the other.
Ultimate Regime solves this by aggregating several environment measurements into a single regime score that expresses whether the market currently favors:
• Trend continuation strategies
• Breakout participation
• Momentum trading
or instead
• Range trading
• Mean reversion strategies
• Oscillation-based setups
The indicator therefore acts as a decision filter rather than a trade trigger.
Key Features
Unified regime classification combining multiple market characteristics
Automatic detection of trending vs mean-reverting environments
Smooth regime transitions to reduce noise and false flips
Visual histogram representing regime strength
Automatic chart candle coloring based on environment
On-chart regime change labeling for clarity
Configurable lookback and smoothing controls
Works across all timeframes and asset classes
Suitable for discretionary and systematic traders
Designed for integration into multi-indicator workflows
How It Works (Conceptual)
Instead of relying on a single measurement, Ultimate Regime evaluates several dimensions of market behavior simultaneously, such as:
• Price expansion versus contraction
• Volatility shifts
• Directional persistence
• Structural movement characteristics
These components are normalized and combined into a composite regime value. The result is then smoothed to ensure regime changes reflect genuine environment shifts rather than short-term fluctuations.
When the combined regime value turns positive, the market is considered to favor directional movement. When it turns negative, price behavior favors oscillation and mean reversion.
The internal weighting and transformation methods remain proprietary in the invite-only version.
Regime States Explained
Trending Regime
Indicates directional dominance where price tends to move persistently in one direction. Momentum and breakout systems typically perform better under these conditions.
Mean Reverting Regime
Indicates oscillatory behavior where price frequently returns toward equilibrium zones. Range strategies and reversal setups often become more effective.
Neutral Transitions
Short transition periods may occur during regime changes as the environment reorganizes before committing to a dominant state.
Visual Components
Regime Histogram
A histogram displays regime strength and direction, making it easy to gauge whether trending or reverting behavior dominates.
Colored Candles
Price candles automatically change color according to regime classification, allowing instant environment recognition directly on the chart.
Regime Change Labels
Labels appear when regime shifts occur, helping traders visually track transitions between trending and mean-reverting phases.
Reference Thresholds
Visual guide levels help users understand regime extremes and neutral zones.
Inputs Overview
Source
Selects the price data used for regime analysis.
High-Low Difference Lookback
Controls how far back structural price expansion is evaluated.
ATR Lookback
Adjusts how volatility expansion or contraction is measured.
Standard Deviation Lookback
Defines the evaluation window for statistical price dispersion.
ADX Lookback
Controls directional persistence measurement sensitivity.
Smoothing Period
Applies smoothing to regime calculations, balancing responsiveness and stability.
Higher smoothing reduces noise but delays regime changes. Lower smoothing reacts faster but may increase regime flipping.
Usage Guidelines
Use Ultimate Regime as a strategy filter rather than a direct entry signal.
Trending regime environments generally favor:
• Breakout systems
• Momentum entries
• Trend-following approaches
• Pullback continuation trades
Mean-reverting environments generally favor:
• Range trading
• Support and resistance reversals
• Oscillation strategies
• Counter-trend setups
Regime analysis works best when combined with entry and risk tools rather than used standalone.
Practical Applications
Strategy selection switching between trend and range systems
Position sizing adjustments based on environment strength
Filtering trades that conflict with prevailing market behavior
Algorithmic system optimization
Portfolio regime monitoring
Timeframe alignment analysis
Parameter Tuning Notes
Lower lookback values increase responsiveness but may produce faster regime changes.
Higher lookback values stabilize regime detection for swing or position trading.
Short smoothing periods work better for intraday trading.
Longer smoothing periods help long-term traders avoid noise.
Optimal settings vary by asset volatility and timeframe.
Best Practices
Combine regime detection with price structure and confirmation tools.
Avoid forcing trend systems in reverting environments and vice versa.
Use regime awareness to improve trade selection discipline.
Backtest strategies separately for trending and mean-reverting periods.
Summary
Ultimate Regime provides a structured and adaptive view of market conditions by classifying whether the environment favors trend continuation or mean reversion. By separating environment analysis from trade signals, traders gain clarity in strategy selection and improve consistency across changing market conditions.
The invite-only version preserves proprietary calculation methods while delivering a robust regime detection framework suitable for discretionary traders, system developers, and algorithmic strategies alike. Indicator
Standard Deviation Supertrend | GForgeStandard Deviation Supertrend ~ 𝒢𝐹𝑜𝓇𝑔𝑒
A Supertrend indicator that replaces ATR with Standard Deviation for volatility measurement, combined with a selectable Moving Average anchor for noise reduction.
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What This Indicator Does
This is a trend-following overlay that plots a single trailing line on your chart. When price is above the line, the trend is bullish. When price crosses below, the trend flips bearish. Signals fire on each flip.
The core mechanic is identical to the classic Supertrend — ratcheting bands that tighten in the direction of the trend and only reset when price breaks through the opposite side.
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Why Standard Deviation Instead of ATR
ATR measures the average candle range. It treats all bars the same — a strong directional candle and a choppy gap produce equal ATR contributions.
Standard Deviation measures how far price disperses from its mean. During clean directional moves, prices cluster on one side of the mean, producing low StdDev and tighter bands. During erratic, sideways price action, prices scatter around the mean, producing high StdDev and wider bands.
The result: the trailing stop naturally tightens when the trend is clean and loosens when conditions are noisy. This is adaptive behavior that ATR-based Supertrends don't provide.
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Two Smoothing Layers
Raw Supertrend inputs can be noisy. A single wick or volatile candle can jerk the trailing band and cause a premature flip. This indicator addresses that with two optional smoothing layers:
Anchor MA — applies a Moving Average to the price source before bands are calculated. Instead of building bands around raw hl2 (which reacts to every wick), the bands are built around a smoother baseline. 11 MA types are available:
• None (hl2) — raw, classic Supertrend behavior
• SMA, EMA, WMA — standard options with varying lag
• HMA — very low lag, can overshoot on reversals
• DEMA, TEMA — reduced lag variants of EMA
• VWMA — volume-weighted, naturally anchors to high-volume levels
• RMA — Wilder's smoothing, very stable
• ALMA — Gaussian-weighted with tunable offset and sigma
• T3 — Tillson, extremely smooth with adjustable volume factor
StdDev Smoothing — applies an EMA to the raw Standard Deviation output before it scales the bands. This prevents abrupt band width changes when a volatile bar enters or exits the lookback window. Set to 1 to disable.
Together, these improve parameter robustness — small changes to settings produce smaller changes in output, meaning the indicator is less likely to break under slight parameter variation.
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Settings Overview
• Anchor Source — price input for the Supertrend. hl2 is the classic default.
• StdDev Length — lookback period for the Standard Deviation calculation.
• StdDev Multiplier — band width. Higher values require a larger move to flip direction. This serves the same purpose as a "threshold" in oscillator-based indicators.
• Anchor MA Type / Length — which Moving Average smooths the anchor, and its period.
• StdDev Smoothing — EMA period applied to the raw StdDev. 1 = no smoothing.
• ALMA Offset / Sigma — only active when ALMA is selected.
• T3 Volume Factor — only active when T3 is selected.
• Current settings work best on BTC 1D
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Visual Elements
• Glow trail — the Supertrend line pulses with a layered glow that changes color on trend direction.
• Trend fill — gradient fill between price and the trailing line.
• Inactive band — shown as crosses, marking where the opposite flip point sits.
• Anchor MA line — subtle reference line showing the smoothed anchor (hidden when set to None).
• Bar coloring — candles colored by current trend direction.
• Signal diamonds — dual-layer markers (halo + core) on trend flips.
All visual elements can be toggled on or off individually. 13 color themes are included.
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⚠️ Disclaimer
This indicator is a technical analysis tool, not financial advice. It does not guarantee profitable results. Past performance on any asset or timeframe does not indicate future results. No indicator can predict market direction with certainty.
Always use proper risk management. Do not rely on any single indicator for trading decisions. Test thoroughly on your chosen instruments and timeframes before applying to live markets. You are solely responsible for your own trading decisions and outcomes.
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Developed by 𝒢𝐹𝑜𝓇𝑔𝑒 Indicator
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Buy Signal EMA& RSI [CocoChoco]█ OVERVIEW
This indicator is a momentum breakout tool designed for trend-following traders.
It produces buy signals (long only).
It is based on the "50-200 EMA & RSI25 crossover indicator" by rahulbalaji4574, which has been upgraded to Pine Script v6. Most importantly, I added filters to reduce false signals and improve overall timing.
The core logic ensures you only enter a trade when a long-term trend is confirmed, momentum is surging but not exhausted, and there is significant market participation (volume).
█ KEY IMPROVEMENTS & LOGIC
This version introduces several "Smart Filters" to the original base logic:
Momentum Sweet Spot: Unlike the original which only required RSI > 50, this version requires the RSI to be between 55 and 80 and actively rising. This avoids "choppy" entries and overextended "blow-off tops."
Trend Strength (ADX): An integrated ADX filter ensures the market is in a strong trend (ADX > 20) before a signal is generated.
Risk Management (ATR Trailing Stop): A dynamic trailing stop-loss based on 1.5x ATR is plotted automatically to help you manage risk and lock in profits.
Real-time Dashboard: A non-intrusive table in the bottom-right corner displays live RSI and ADX values for quick reference.
█ HOW TO USE
Look for the Signal: A large green triangle appears below a bar when all trend, momentum, and volume conditions align.
Manage the Trade: Use the plotted red line as your dynamic trailing stop-loss. If the price closes below this line, the trade is considered exited, and the stop will reset.
Confirm with the Dashboard: Check the bottom-right corner to see if the market is gaining strength (ADX) or nearing exhaustion (RSI).
█ ADJUSTING SETTINGS
You can fully customize the indicator by clicking the Settings (gear icon) next to the indicator name on your chart.
Inputs Tab: Adjust the RSI thresholds, EMA lengths, or the ATR multiplier to fit your specific asset and timeframe.
Style Tab: Change the colors of the 50/200 EMA, the trailing stop-loss line, and the signal triangles to match your chart's theme.
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