RSI Momentum SignalRSI Momentum Signal is a technical analysis indicator designed to highlight potential momentum-based reversal points using the Relative Strength Index (RSI).
This script combines short-term RSI momentum behavior with basic candle structure to visualize possible bullish and bearish reaction zones directly on the chart.
How It Works
A fast RSI-based momentum calculation is used to color price bars when short-term momentum reaches extreme levels.
Buy and Sell signals are generated when momentum conditions align with RSI overbought or oversold levels and basic candle direction.
All signals are plotted visually on the chart to support discretionary analysis.
Intended Use
This indicator is not a standalone trading system.
It is designed to be used as a supportive analytical tool together with other technical analysis methods such as trend structure, price action, and support/resistance levels.
Disclaimer
This script does not provide financial advice and does not guarantee any trading results.
All trading decisions remain the sole responsibility of the user.
Use this indicator for educational and analytical purposes only.
Volatility
ATR Deviation Sigmoid Oscillator# ATR Sigmoid Volatility Regime Oscillator
## What This Indicator Does
The **ATR Sigmoid Volatility Regime Oscillator** is a volatility-regime detection tool designed to answer a single, critical question:
> *Is the market currently in a low-volatility or high-volatility regime—relative to its own recent behavior?*
Instead of using raw volatility values, this indicator **contextualizes volatility** by comparing the current ATR (Average True Range) to its own historical baseline and then mapping that deviation into a bounded, interpretable scale.
---
## How It Works (Conceptual)
1. **ATR Calculation**
The indicator starts with the standard ATR, which measures market volatility without direction.
2. **Baseline via EMA**
An EMA of ATR is used as a dynamic volatility baseline. This adapts to changing market conditions instead of relying on static thresholds.
3. **Relative Deviation**
The difference between ATR and its EMA represents how "unusual" current volatility is relative to its recent history.
4. **Normalization**
This deviation is normalized using ATR’s own dispersion, ensuring comparability across assets and timeframes.
5. **Sigmoid Transformation (0–100)**
A sigmoid function maps the normalized value into a **bounded 0–100 oscillator**, producing:
* Stability at extremes
* Smooth regime transitions
* No unbounded spikes
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## How to Read the Oscillator
* **Above 50 (Green)**
High-volatility regime. Momentum strategies, breakout logic, and wider risk parameters tend to perform better.
* **Below 50 (Red)**
Low-volatility regime. Mean-reversion, range trading, and tighter risk controls are generally more appropriate.
* **The 50 Level**
Acts as a *volatility regime boundary*, not a buy/sell signal.
This indicator is **not directional**. It is a *context filter*.
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## What This Indicator Is Best Used For
* Enabling/disabling strategies based on volatility regime
* Filtering false signals in low-volatility environments
* Position sizing and stop-distance adaptation
* Multi-asset volatility comparison using a common scale
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## What This Indicator Is NOT
* ❌ Not a buy or sell signal
* ❌ Not a trend indicator
* ❌ Not predictive on its own
It is designed to be used **in combination with price, trend, or momentum logic**.
---
## Disclaimer
This indicator is provided for **educational and informational purposes only**.
It does not constitute financial advice, investment recommendations, or an offer to buy or sell any financial instrument. Trading involves risk, and past performance does not guarantee future results.
You are solely responsible for any trading decisions you make using this tool.
---
## Like This Indicator?
If you find this volatility regime tool useful:
* ⭐ **Add it to your favorites**
* 💬 **Leave a comment or feedback** — suggestions are welcome
* 👤 **Follow for future updates and new quantitative tools**
Your support helps improve and refine this work.
---
*Designed with a quantitative, regime-based approach to market analysis.*
Edo ControlEdo Control – Market Context, State and Coherence Indicator
Edo Control is a market context and structural analysis indicator designed to help traders evaluate the quality, stability and coherence of market conditions before considering any trading decision.
The indicator does not generate buy or sell signals, does not provide entries or exits, does not predict price direction, and does not replace risk management or trader judgment.
Its purpose is to answer a question that comes before any system or setup:
Do current market conditions justify considering a trade at all?
────────────────────────
GENERAL CONCEPTUAL FRAMEWORK
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Edo Control evaluates the market as a dynamic system composed of:
• Relative price position
• Strength and expansion of the movement
• Internal behavior and transitions
• Coherence across multiple timeframes
These dimensions are analyzed together and represented visually as states, not trading signals.
────────────────────────
CONCEPTUAL CALCULATION BASIS (HIGH LEVEL)
────────────────────────
The indicator combines two main families of metrics:
1) A price positioning metric based on oscillator-type logic, evaluating where price is located within its operational range and relative to an internal equilibrium level.
2) A movement strength and expansion metric based on trend-type logic, measuring whether the current movement is gaining, maintaining or losing intensity.
Both dimensions are dynamically compared and integrated into a normalized score representing the structural quality of the movement, not future direction.
This continuous score is used to classify the market into contextual states that are then displayed through candles, heatmaps and multi-timeframe panels.
────────────────────────
INDICATOR COMPONENTS
────────────────────────
1) Contextual Candles (Control Candles)
Colored candles represent internal market states, not trading signals.
Each color encodes specific combinations of:
• Structural continuation
• Momentum expansion
• Movement degradation
• Transitional phases
• Internal behavioral changes
They allow traders to visually distinguish between stable structure, weakening structure and instability zones.
They do not indicate entries or exits, do not repaint, and are calculated using confirmed data only.
2) Internal State Heatmap
The heatmap represents the intensity, acceleration and internal health of the movement, not trading triggers.
Three display modes are available:
• Multicolor: shows gradual transitions between exhaustion, balance and acceleration.
• Bicolor: summarizes relative strength based on dominant directional context.
• Hybrid: simplifies the reading into healthy or warning states.
The heatmap should be interpreted as internal pressure, balance or exhaustion, never as an entry signal.
3) Integrated Multi-Timeframe Analysis
Edo Control applies the same conceptual framework across multiple timeframes simultaneously.
Each timeframe is represented by a normalized value, typically on a 0 to 1 scale, reflecting the structural quality of the movement on that timeframe.
These values allow traders to assess:
• Timeframe alignment
• Contextual conflicts
• Progressive transitions
• Structural slope and evolution
The goal is to avoid trading against dominant higher-timeframe conditions and to understand the broader market context before executing on lower timeframes.
4) Trading Profiles
The indicator includes predefined profiles for:
• Scalping
• Intraday trading
• Swing trading
• Long-term / position trading
Each profile internally adapts the multi-timeframe structure and contextual sensitivity to the selected trading horizon, without manual optimization or curve fitting.
5) Learning Mode
Edo Control includes an optional learning mode designed to support historical and educational analysis.
This mode allows users to:
• Visualize past states
• Display explanatory labels
• Enable descriptive tooltips
• Study contextual evolution across different market conditions
It can be enabled or disabled freely and does not alter the indicator’s core logic.
6) Modular System and Configuration
All visual components can be enabled or disabled independently:
• Contextual candles
• Heatmap
• Multi-timeframe panels
• Legends and guides
• Learning mode
Users may adjust visual parameters such as opacity, size and layout, while the core logic remains protected to ensure consistent readings and prevent misconfiguration.
────────────────────────
PROTECTED CODE AND JUSTIFICATION
────────────────────────
Edo Control is a closed-source indicator.
Code protection is required because its value lies in:
• The specific combination of metrics
• The normalization system
• The state classification logic
• Multi-timeframe coherence
• The resulting contextual interpretation
This description provides all necessary conceptual information to understand what the indicator does and how it should be interpreted, without exposing implementation details.
────────────────────────
FINAL NOTES
────────────────────────
• Edo Control does not issue trading signals
• No alerts are generated
• It does not replace risk management
• It is designed as a contextual and market quality pre-filter
Use Edo Control to decide WHEN to trade, not HOW to trade.
The final trading decision always remains with the trader.
Kijun Equilibria v3.0 [by Oberlunar]Kijun Equilibria v3.0 is an equilibrium-based indicator that builds a multi-timeframe “Kijun cloud” and adds a mean-reversion (pullback) detector on top of it. The equilibrium line can be computed using Adaptive Envelope, Ichimoku Midrange, KAMA, HMA, EMA, or SMA. The script calculates the selected equilibrium on the chart timeframe and on three additional user-selected timeframes, then uses the highest and lowest equilibrium values to form a cloud that highlights where timeframes disagree (dispersion) and where they compress into a tighter balance zone.
Directional context is summarized through a per-timeframe bias score and an aggregated consensus bias (LONG, SHORT, or NEUTRAL). Pullback (PB) conditions are evaluated with an Ornstein–Uhlenbeck model applied to the deviation between price and the equilibrium line; the script derives a z-like stretch measure and a normalized κ (kappa) strength, and can optionally adapt the z-threshold based on recent behavior.
When a stretch condition is followed by a re-entry/cross back toward the cloud or baseline, the indicator can print pullback labels and/or a graded mean-reversion background, depending on the selected visual options. The fog fills are a visual aid that shades the space between equilibrium lines across timeframes to make dispersion and compression immediately visible.
An optional Sideways module is included to explicitly detect consolidations using a composite range score (volatility compression and stability features) with entry/exit confirmations and a hard-break invalidation rule. When confirmed, the script can paint a translucent yellow band around the base equilibrium, optionally recolor candles, and optionally draw range boxes that track the active corridor.
All signals and visuals are informational only, use no future-looking data (lookahead is disabled in all security calls), and should be validated on the user’s market and timeframe with appropriate risk management.
by Oberlunar 👁★
Ichimoku Bounce on Tenkan-Sen by YellowKumaIchimoku Bounce (Long/Short) on Tenkan-Sen by YellowKuma
Pure bounce signals off the Tenkan-sen • No MTF • No noise
🌊 What It Does
This indicator spots high-probability reversal zones where price reacts off the Tenkan-sen (9-period conversion line) — the fastest Ichimoku component acting as dynamic support/resistance.
✅ Long signal → Price bounces up from Tenkan-sen while trading above the cloud
✅ Short signal → Price rejects down from Tenkan-sen while trading below the cloud
✅ Kijun-sen is used only as a trend filter (Tenkan > Kijun for longs / Tenkan < Kijun for shorts) — never as a bounce level
✅ Zero MTF complexity — runs purely on your chart's native timeframe, no repainting
Signals appear as:
🟢 "L" label below the bar → Bullish Tenkan bounce
🔴 "S" label above the bar → Bearish Tenkan bounce
⏱️ Timeframe Matters — A Lot
This strategy shines on higher timeframes and struggles on low ones. Why?
📈 H4 / Daily / Weekly
→ Tenkan-sen aligns with real institutional pivot zones
→ Cloud represents weeks of consensus value — strong trend filter
→ Bounces carry momentum → larger winners, fewer whipsaws
📉 M5 / M15 / M30
→ Tenkan-sen reacts to micro-noise, not structure
→ Cloud too thin — price slices through easily
→ False bounces dominate → shallow moves, poor R:R
💡 Rule of thumb:
• Use H4 for swing entries
• Use Daily for core trend trades
• Keep a Weekly chart open to confirm macro trend (only trade bounces with the Weekly cloud)
• Avoid M15/M30 entirely — signal quality degrades sharply
⚙️ Settings (Simple & Clean)
• Tenkan-sen Period → 9 (standard) — shorter = more sensitive, longer = smoother
• Kijun-sen Period → 26 (standard) — trend filter only
• Senkou Span B Period → 52 (standard) — defines cloud thickness
• Show Long Bounces → Toggle ON/OFF
• Show Short Bounces → Toggle ON/OFF
Cloud colors:
🟢 Green fill → Bullish cloud (Senkou Span A > B)
🔴 Red fill → Bearish cloud (Senkou Span A < B)
🎯 How to Trade the Signals
1️⃣ Wait for confirmation
→ Never enter mid-bar. Wait for candle close beyond the Tenkan-sen.
2️⃣ Check cloud alignment
→ Longs only when price > cloud top
→ Shorts only when price < cloud bottom
3️⃣ Add price action confirmation (optional but recommended)
→ Bullish engulfing / hammer at Tenkan → stronger long signal
→ Bearish engulfing / shooting star at Tenkan → stronger short signal
4️⃣ Risk management
→ Stop-loss: 1–2 pips beyond bounce bar extreme OR 2×ATR(14)
→ Take-profit: Target Kijun-sen (near-term) or opposite cloud boundary (swing)
→ Minimum reward:risk = 1:3
5️⃣ Avoid these situations
→ Choppy markets (Tenkan/Kijun flat, cloud thin)
→ Major news events (FOMC, NFP) — volatility distorts Tenkan touches
→ Bounces within 15 pips of strong horizontal resistance/support against your direction
🔔 Alerts
Built-in alert conditions:
• "Long Bounce" → triggers when green "L" appears
• "Short Bounce" → triggers when red "S" appears
→ Right-click indicator → Add Alert → choose condition
💡 Pro Tips for TradingView Users
✨ Session timing: Avoid first 60 mins of London/NY open — volatility creates false Tenkan touches
✨ Combine with Weekly trend: Disable short signals when price > Weekly cloud (and vice versa)
✨ Less is more: Expect 2–5 high-quality signals per week on H4 — that's normal. Quality > quantity.
⚠️ Important
This is a price-structure tool, not a magic bullet.
Always:
• Respect the trend (trade bounces with the cloud, not against it)
• Use proper position sizing (0.5–1% risk per trade)
• Keep a trading journal — track which bounces worked and why
✨ Bottom Line
Pure. Simple. Effective.
By focusing only on Tenkan-sen bounces — and enforcing strict cloud alignment — this indicator cuts through noise and delivers clean reversal zones where institutions actually place orders.
Works best on H4 and higher.
Add it. Switch to H4. Trade the bounce. 🚀 @YellowKumo
MicroChainAi Structure Stance📊 MicroChainAi Structure Stance｜微链智控・结构力场
MicroChainAi Structure Stance 是一款围绕市场结构关系构建的结构解析指标，重点关注价格在关键结构区域中的受力状态、稳定性与结构转换过程。该指标用于提供行情所处结构阶段的判断依据，而非用于捕捉短期交易信号。
MicroChainAi Structure Stance is a structure-focused analysis indicator designed to interpret price behavior around key structural areas. It emphasizes force interaction, stability, and structural transitions, providing context on the current structural phase rather than producing short-term trading signals.
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🧩 主要功能与特点｜Main Features & Characteristics
📐 结构区域刻画｜Structural Zone Mapping
围绕关键价格区域构建结构参考框架，用于观察价格在重要结构区间内的运行方式与反应强度。
Builds a structural reference framework around key price zones to observe how price behaves and reacts within important structural areas.
🔄 结构阶段识别｜Structural Phase Identification
辅助判断行情处于结构延续、结构消耗或结构重组阶段，避免将不同结构环境混为一谈。
Helps distinguish between structural continuation, exhaustion, and reorganization phases to avoid misreading different market conditions.
⚖️ 价格受力状态观察｜Price Force Observation
通过结构位置与价格行为的配合，提供对多空受力倾向与平衡状态的直观参考。
Provides visual context on directional force and balance by combining structure positioning with price behavior.
🧭 结构环境过滤｜Structural Context Filtering
用于过滤结构混乱或不稳定的行情阶段，辅助在结构相对清晰的环境下执行交易规则。
Filters out structurally unstable or unclear conditions, supporting execution under more defined structural environments.
⚠️ 风险感知辅助｜Risk Awareness Aid
在结构敏感区域附近提供风险提醒参考，用于仓位与风险控制，而非反向操作依据。
Offers risk-awareness cues near structurally sensitive areas to support position sizing and risk control, not counter-trend actions.
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📘 使用建议｜Usage Notes
当价格在关键结构区域内出现反复测试或明显反应时，可用于观察结构是否仍具约束力
When price repeatedly tests or reacts clearly within key structural areas, use it to evaluate whether structure remains influential.
当价格快速脱离原有结构并建立新平衡时，往往意味着结构阶段已发生变化
When price decisively leaves a prior structure and establishes a new balance, it often signals a structural phase shift.
建议结合更高时间周期的结构背景使用，以避免在局部结构中产生误判
It is recommended to use this indicator alongside higher-timeframe structural context to reduce local misinterpretation.
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⚠️ 风险提示｜Risk Disclaimer
本指标仅用于行情结构分析与研究参考，不构成任何投资建议
This indicator is intended for structural market analysis and research purposes only and does not constitute investment advice.
所有判断基于历史价格行为，可能存在滞后或失效情形
All interpretations are based on historical price behavior and may exhibit lag or failure.
请勿将任何单一工具作为交易决策的唯一依据
Do not rely on any single tool as the sole basis for trading decisions.
Adaptive Pullbacks ML v2.5Adaptive Pullbacks ML - Context-Aware Trend Trading
Overview
Adaptive Pullbacks ML is a sophisticated trend-following tool that solves the biggest problem in pullback trading: "Is this a dip to buy, or the start of a reversal?"
Unlike standard indicators that use fixed percentages or static moving averages, this script uses a 5-Dimensional k-Nearest Neighbors (k-NN) machine learning engine to learn the specific characteristics of successful pullbacks for the asset you are trading.
The 5-Dimensional ML Engine
The market is dynamic. A pullback depth that works in a low-volatility lunch session might fail during a high-volatility news event. This indicator tracks 5 key dimensions for every pullback:
Depth (ATR Normalized): How deep is the pullback relative to volatility?
Trend Slope: Is the trend steep (parabolic) or flat (grinding)?
ADX: How strong is the directional energy?
VWAP Distance: Is price extended or close to value?
Time of Day: Is this a morning drive or an afternoon fade?
When a new pullback occurs, the k-NN engine finds the 5 most similar historical events across these dimensions and predicts the probability of success.
Core Features
1. Fractal Normalization
The indicator speaks the language of ATR (Average True Range). It doesn't care if you trade the 15-second chart or the Daily chart. A "1.5 ATR Pullback" is a statistically comparable event across all timeframes, allowing for robust, scale-invariant analysis.
2. HTF Stats Bridge (Higher Timeframe Data)
You can trade on lower timeframes (e.g., 1-minute) while using statistics derived from higher timeframes (e.g., 15-minute). This ensures your signals are based on significant market structure, not microstructure noise.
3. Smart Zones
The indicator plots dynamic "Value Zones" based on learning:
Cyan Zone (Avg Depth): The "Sweet Spot". High probability bounce area.
Yellow Zone (Sigma): The "Extension". Price is stretching elastic limits.
Red Zone (Deep): The "Danger/Opportunity". Statistical anomaly.
4. PQS & k-NN Filters
Two layers of filtering protect your capital:
PQS (Probability Qualification Score): Based on raw win-rate of the zone.
k-NN Probability: Based on similarity to past winners.
Settings Guide
Stats Timeframe: The timeframe to learn from (Leave empty for Chart).
Trend/Trigger Settings: Define what constitutes a trend for your strategy.
k-Neighbors: Number of historical twins to compare (Default: 5).
Min PQS / k-NN: Thresholds for filtering weak signals.
Disclaimer: This tool is for educational purposes. Past performance of the k-NN engine does not guarantee future results.
Weekly IR Breakout SignalsInspired by XO (@Trader_XO) on CT for his trading strategy
and special thanks to REBO (@@R3BOOO) for putting it together in a cheat sheet and sharing it
contact me on X: @neuromancer0x
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Timeframe Recommendations:
1H chart - Day trading (5-10 signals/month)
4H chart - Swing trading (2-5 signals/month) ⭐ Best
Daily chart - Position trading (1-2 signals/month)
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When Signals Appear:
Monday: No signals (just setting up IR)
Tuesday-Friday: Watch for breakouts
Max 1 LONG + 1 SHORT per week (indicator enforces this)
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Risk Management:
Risk 0.5-1% per trade
Never risk more than 2% in one day
If 2 losses in a row → reduce size or pause
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🔔 Setting Up Alerts
Click "Create Alert" (⏰ icon)
Condition: Select "🟢 LONG Entry" or "🔴 SHORT Entry"
Alert name: "Weekly IR Signal"
Set to: "Once Per Bar Close"
Send to: Phone/Email/App
Adaptive ML VWAP v1.0Overview
Adaptive ML VWAP is a next-generation "Smart Indicator" that moves beyond static deviations (Standard Deviation). Instead of assuming market volatility is distributed normally (Bell Curve), this indicator uses a k-Nearest Neighbors (k-NN) machine learning engine to learn the specific volatility behavior of the asset you are trading.
It answers the question: "When price extends away from VWAP, how far does it actually go before reversing?"
The Adaptive ML Engine
This script features a 5-Dimensional ML Engine that tracks every major extension or pullback event. It records:
Deviation Depth (Normalized to ATR)
Trend Slope (Is the trend steep or flat?)
ADX (Trend Strength)
VWAP Deviation (Relative Position)
Time of Day (Session Context)
When a new setup occurs, the k-NN engine instantly searches its memory for the 5 most similar historical events and calculates the probability of success based on what happened last time.
Two Strategy Modes
You can toggle the logic to suit your trading style:
1. Mean Reversion Mode (Default)
"Fade The Move"
Goal: Catch price at an exhaustion point returning to VWAP.
Signal: Triggers when price touches a Smart Band and reverses back toward the center.
k-NN Learning: Learns which conditions favor a snap-back.
Best For: Ranging markets, Lunch hours, Choppy sessions.
2. Trend Following Mode
"Ride The Move"
Goal: Catch breakouts that are launching away from value.
Signal: Triggers when price breaks out of the Inner Band (1.0).
k-NN Learning: Learns which breakouts tend to extend to the Outer Bands.
Best For: Morning Drives, News Events, Strong Trends.
Visual Guide
The indicator uses a Dynamic Gradient system to visualize risk/reward:
Cyan Mist (0.5 - 1.0): The Value Zone. Noise area. Safe for trend entries.
Deep Cyan (1.0 - 2.0): The Trend Zone. Price is moving proactively.
Orange Glow (2.0 - 3.0): The Danger Zone. Price is statistically overextended. Reversals are highly probable here.
"Fractal" Math
Unlike standard indicators that break when you change timeframes, Adaptive ML VWAP uses Fractal Normalization.
A "2.0 Band" on a 15-second chart means the same statistical extreme as a "2.0 Band" on a 4-hour chart.
Auto-Adaptive Lookback: The indicator automatically boosts the ML memory (Lookback) on lower timeframes (seconds/minutes) where more noise requires larger sample sizes, ensuring robust predictions without manual tweaking.
Settings
Auto-Adapting Lookback: (Default: True) automatically increases Lookback to 100+ for seconds charts and 50+ for minute charts.
Lookback (Events): Manual override base value (Default: 100).
Strategy Mode: Toggle between Mean Reversion and Trend Following.
k-Neighbors: The number of similar past events to structurally compare (Default: 5).
Disclaimer: This tool is for educational purposes. Machine learning performance is dependent on market conditions and historical recursion.
VWAP Tension Bands + Osc Sigma Gap [MAXmks]Hello Traders,
This indicator started as an accident. I was building a different tool — a multi-metric dashboard — and added VWAP deviation as one of the components. I expected it to help catch falling knives. It didn't.
But I noticed something else. During cooling-off periods — when volatility fades and price just sits there, not really going anywhere — VWAP deviation on lower timeframes would start climbing quietly. And more often than not, a pullback followed. Sometimes a liquidity sweep first, then a pullback. I watched this pattern for months before deciding to build a dedicated tool around it, adding oscillator confirmation to filter the noise.
This is that tool.
The core idea
Markets act like a rubber band around VWAP — the further price stretches, the higher the tension. But raw deviation isn't enough. The real question: is momentum confirming the stretch, or lagging behind?
The σ-Gap captures when these two disagree — price pushed hard, but internals haven't caught up. That's where mean-reversion setups tend to appear.
The indicator tracks VWAP deviation across 2m / 5m / 15m simultaneously and compares it against a composite of momentum oscillators (Williams %R, CVD-based metrics). Signals require multi-timeframe consensus — no single timeframe can trigger alone.
Adaptive thresholds
What counts as "extreme" isn't fixed. Distance is measured in standard deviations (σ) , not pips or percentages — so the indicator adapts to volatility automatically. Thresholds scale with regime and historical distribution, adjusting to current market conditions in real time.
Two modes
Standard — adaptive thresholds, more signals. Good for active sessions and exploration.
High Precision — adds divergence confirmation from multiple oscillators (MFI, Delta RSI, CVD Z-Score). Fewer signals, higher selectivity.
Extreme Tension
When σ-Gap exceeds 1.6× the threshold, the indicator can fire without full confirmation. Rare, but these are the "overstretched" moments worth watching.
Filters (so you don't trade ghosts)
RVOL filter blocks signals during low activity. Session close filter avoids entries near VWAP reset. 24h volume filter skips illiquid instruments. Cooldown prevents signal clustering in the same direction.
Best use case
Built for short-term mean-reversion — quick snapback plays on 5m–15m charts where price overextends and reverts within a few candles. The engine is optimized for this rhythm, not for trend-following or swings.
On-chart
Tension Bands show dynamic threshold zones around VWAP. Signals are non-repainting and confirmed on bar close. Compact HUD displays all metrics, filter states, and signal status in real time.
Alerts
Pre-signal alerts when conditions start forming. Confirmed signal alerts with full breakdown: VWAP deviation values, σ-Gap readings, divergences detected, current mode.
Volume matters
This is a VWAP-based indicator. No volume data = no signal. If your instrument shows "No Volume" in the dashboard, switch to a data feed that provides it (crypto spot, futures, stocks with real volume).
A note on expectations
I use this logic in my own research and it has shown useful results for me in my backtesting scenarios. But this is an indicator for analysis , not a magic button. Your execution, fees, slippage, and market regime all matter. Treat signals as context, not commands. DYOR.
Feedback welcome.
For educational and analysis purposes only. Not financial advice.
PK Scalper Pro Neon Cloud Killzone Dashboard 📌 Overview
PK Scalper Pro — Neon Cloud + Killzone Dashboard (JST) combines a Wilders ATR trail,
Fibonacci entry zones, session/killzone context, and a 7-factor environment score
to form a dynamic trend-following scalping strategy.
It adapts in real time to volatility, aiming for higher entry precision and optimized risk.
⚠️ For educational and research purposes only. Past performance does not guarantee future results.
🎯 Strategy Objectives
React quickly to sharp moves and reversals while using hysteresis (bar confirmation)
to suppress noise and deliver stable scalping signals.
✨ Key Features
Neon Cloud visualization (Full / Entry / Premium-Discount / Fib Bands / Upper / Middle / Lower modes)
7-factor scalping score (ATR compression / ADX / Volume / Candle range / Range compression / RSI / BB width)
— quantified 0–10 to measure environment suitability
Stable state machine combining Sensitivity × Stability (confirmation bars)
to determine start/end states reliably
📊 Trading Rules
Long Entry:
Trend = +1 and price <= f2 (78.6%), with is_scalping_time = true
Optimal zone: between f3 (88.6%) and l100 (trail); automatic “Fib Entry (Long)” label
Short Entry:
Trend = −1 and price >= f2 (78.6%), with is_scalping_time = true
Optimal zone: between f3 and l100; automatic “Fib Entry (Short)” label
Exit / Reversal:
Reverse or close on Trend crossover/crossunder
When is_scalping_time = false is confirmed, prioritize taking profit
💰 Risk Management Parameters
Recommended timeframes: 1–15m (FX / Indices / Crypto)
Example: Account $10,000 / Commission 0.02% / Slippage 1.0 pips / Risk 1% per trade
SL = ATR(14) × 1.5, TP = SL × Target R:R (default 2.0)
⚙️ Trading Parameters & Considerations
ATRPeriod = 200 / ATRFactor = 8 / trailType = "modified"
Sensitivity = "Medium" (entry ≈6, exit ≈4) / Stability = "Normal" (confirmation bars = 3)
Fibonacci: ex↔trail range → f1=61.8, f2=78.6, f3=88.6, eq=50, l100=trail
Killzone shown in JST; priority order NY > LDN > TKY, with remaining time countdown
🖼 Visual Support
Highlights optimal zone (f3→100%) and Premium/Discount areas; PRIME conditions shown with purple background
Dashboard displays direction 📈/📉, score, confirmation progress, Killzone (JST), TP/SL guidance, and Session info
🔧 Strategy Improvements & Uniqueness
Introduces a 7-factor score + hysteresis to quantify and stabilize “enter/stop” conditions
Defines precise deep pullback zone (88.6–100%) as optimal entry area
Neon multi-layer cloud + fixed-row dashboard for high visibility and live stability
✅ Summary
PK Scalper Pro integrates momentum (Trend), volatility adjustment (ATR), and multi-factor scoring
into a responsive scalping framework.
Its clear visuals and practical design improve reproducibility and decision confidence.
⚠️ No guarantee of future profits — always apply disciplined position sizing and risk management.
Trading Halt DetectorThis is an indicator that plots RED square above or below the last candle when a trading halt occurs. Note that it only plots once the market resumes, not while it's being Halted.
It calculates the time between every candle. If there's more than 1 minutes from a candle to the next one, a red square is going to show.
For exemple, if you trade on the 1min time frame and a Halt up happens, it usualy takes 5 minutes for the market to resume. Since the resuming candle open 5 minutes later, a RED square is going to appear below the last candle before the HALT.
1. When a RED Square appears below the candle, it means that a HALT up occured.
2. When a RED Square appears above the candle, it means that a HALT down occured.
You may use this indicator on multiple time frames but it's been built for 1 to 4 minutes time frame. It' s possible to adjust the time tolerance that you consider being a halt. The default setting is 1 minutes more than the chosen time frame.
Adaptive AI SuperTrend [AlgoPoint]🚀 Adaptive AI SuperTrend
Adaptive AI SuperTrend is a high-performance trading terminal that redefines trend-following by integrating Machine Learning (ML) principles with advanced market regime detection. Unlike static indicators, this system dynamically recalibrates its internal parameters to match the ever-changing volatility of the financial markets.
Equipped with a custom "Wizard Engine," it filters out market noise during consolidation and identifies high-probability trend continuation points, making it an essential tool for scalpers, day traders, and swing traders alike.
🧠 What Makes it "AI"?
While traditional indicators use fixed rules, Adaptive AI SuperTrend utilizes Algorithmic Intelligence to make real-time decisions:
KNN-Inspired Adaptation: The engine analyzes the last 150 bars of volatility and trend strength to automatically adjust its sensitivity.
Market Regime Intelligence: It distinguishes between "Trending" and "Ranging" states using a sophisticated Squeeze Momentum module, preventing "whipsaws" during low-volume periods.
Self-Backtesting Logic: The indicator continuously calculates its own historical Win-Rate. If the probability of success falls below a certain threshold, it suppresses lower-quality signals.
🛠 Key Features
Dynamic Consolidation Boxes: Automatically identifies and wraps "choppy" price action in professional gray boxes. It waits for 3+ bars of consolidation before marking the zone, helping you spot breakout opportunities early.
Multi-Strategy Aggression:
- Conservative: Filtered signals for long-term trend following.
- Balanced: Optimized for daily volatility.
- Aggressive: High-frequency signals for capturing micro-trends.
Dual-Exit Risk Management:
- ATR TP-SL Mode: Sets mathematical targets based on market volatility with persistent on-screen lines.
- Smart Trailing Mode: Rides the trend to its exhaustion point. Includes intelligent labeling (🎯 TP or 🛑 SL) based on the trade's net profitability.
- RSI Pullback Confirmation: Beyond simple trend flips, it detects "buy the dip" or "sell the rip" opportunities within an existing trend using RSI 50-level crossovers.
📊 Real-Time Analytics Dashboard
The integrated AlgoPoint Dashboard provides a surgical view of the market:
- Market State: Instant "Trending" vs. "Ranging" (Consolidation) detection.
- Trend Strength: ADX-based momentum tracking.
- Strategy Status: Real-time feedback on your active aggression and exit modes.
🎨 Clean Charting & Customization
Built for professional clarity, you have total control over the UI:
Toggle Consolidation Boxes on/off.
Toggle ATR Target Lines and Exit Labels.
Customize background filters and dashboard visibility.
Ryan-Trend PulseOverview
Ryan-Trend Pulse is a volatility-adjusted trend-following indicator designed to identify institutional-grade shifts in market momentum. Unlike static moving averages that lag significantly, This indicator utilizes a modified ATR-based trailing logic to create dynamic ranges. This allows the indicator to remain stable during consolidation but react decisively when a genuine trend breakout occurs.
The core philosophy of this tool is to provide traders with clear, visual "Zones of Interest" (Target and Stoploss) that adapt in real-time to current market volatility.
How It Works: The Logic
The indicator is built around a proprietary Adaptive Average function. Here is the technical breakdown:
1. Volatility Anchoring : The script calculates a base ATR (Average True Range) multiplied by a user-defined factor. This creates a "volatility buffer" around the price.
2. Range Displacement : The center line (Trend Average) only moves when the price closes outside of the volatility buffer. This filtering mechanism eliminates market noise and "whipsaws" often found in standard trend-following tools.
3. Dynamic Band Scaling : Once a new range is established, the upper and lower bands are calculated based on 50% of the current volatility. This provides a mathematically consistent frame for potential price action.
Indicator Specifications & Features
- Zero-Lag Range Shifts: The range updates instantly upon a confirmed break, providing the trader with immediate feedback on trend direction.
- Multi-Timeframe Compatible: Users can pull data from higher timeframes (HTF) to filter lower timeframe noise via the built-in Timeframe input.
How to Trade with Ryan-Trend Pulse
The indicator features a Dual-State Dynamic Coloring System:
1. 🔵 The Blue Center channel: This is your Trend Pivot. As long as price remains within the current range, the trend is considered stable.
2. 🟢 Bullish Breakout (Long): When price breaks the upper channel and shifts the range upward:
- The Upper channel turns Green, representing your primary Target Zone.
- The Lower channel turns Red, representing your Logical Stop Loss.
3. 🔴 Bearish Breakout (Short) : When price breaks the lower channel and shifts the range downward:
- The Lower channel turns Green, representing your primary Target Zone.
- The Upper channel turns Red, representing your Logical Stop Loss.
Settings Guidance
- Length (Default 200): Optimized for long-term trend health. Lowering this to 50-100 will make the indicator more aggressive for scalping.
- Factor (Default 5.0): This controls the "tightness" of the range. A higher factor requires a more significant move to trigger a trend change, suitable for volatile assets like Crypto or Indices.
Disclaimer: Past performance does not guarantee future results. This indicator is a tool for technical analysis and should be used in conjunction with a complete trading plan and proper risk management.
EMA 200 Distance ATR Normalized Oscillator# 📊 EMA 200 Distance Oscillator
## What Does This Indicator Do?
This oscillator measures how far the price is from the **EMA 200** (Exponential Moving Average) and transforms it into a **normalized 0-100 scale** using mathematical sigmoid function.
### Core Formula
```
1. Calculate: Price - EMA(200)
2. Normalize: (Price - EMA) / ATR
3. Transform: Sigmoid(normalized_value) × 100
```
The sigmoid function smoothly maps any distance into a readable 0-100 range, making it easy to spot trends and extremes.
---
## 📈 Key Levels
- **50** = Neutral (price at EMA 200)
- **> 50** = Price above EMA (bullish territory)
- **< 50** = Price below EMA (bearish territory)
- **> 80** = Overbought zone
- **< 20** = Oversold zone
---
## 🎯 Trading Philosophy: Stay With The Trend
**The most important principle in trading is to stay with the trend.**
This oscillator helps you:
✅ **Identify the dominant trend** (above or below 50)
✅ **Avoid counter-trend trades** (don't fight the momentum)
✅ **Spot trend exhaustion** (overbought/oversold zones)
✅ **Time your entries** (wait for pullbacks in strong trends)
### Remember:
- Values consistently above 50 = **Stay bullish**
- Values consistently below 50 = **Stay bearish**
- Don't try to catch falling knives or short strong uptrends
- **The trend is your friend until it ends**
---
## 🎨 Visual Features
- **Color gradient line**: Transitions from red (0) to green (100)
- **Histogram bars**: Shows deviation from neutral (50)
- **Background zones**: Highlights overbought/oversold areas
- **Signal triangles**: Marks trend changes at 50 level
- **Live info table**: Displays real-time metrics with vibrant colors
---
## ⚙️ Customizable Parameters
- **EMA Length** (default: 200)
- **ATR Length** (default: 14)
- **Sigmoid Multiplier** (default: 1.0) - Controls sensitivity
---
## 🔔 Built-in Alerts
- Bullish signal (crosses above 50)
- Bearish signal (crosses below 50)
- Overbought alert (enters > 80)
- Oversold alert (enters < 20)
---
## ⚠️ Disclaimer
**This indicator is for educational and informational purposes only.**
- Not financial advice
- Past performance does not guarantee future results
- Always use proper risk management
- Combine with other analysis methods
- Trade at your own risk
---
## 💬 Feedback Welcome
If you found this indicator helpful, I'd appreciate:
- A **follow** to see more trading tools
- Your **comments** and suggestions for improvement
- Sharing your experience using it
Your feedback helps me create better indicators for the community!
---
**Happy Trading & Stay With The Trend! 📈**
Institutional Volume Trend [Structure Filter]Overview
The Institutional Volume Trend is a hybrid trend-following system designed to solve the single biggest problem in technical analysis: False Breakouts (Fakeouts).
Most trend indicators are purely price-reactive. If price moves up, they signal "Buy"—even if that move is driven by low liquidity and retail FOMO. This often leads to traders getting trapped in "chop" or weak reversals.
This script introduces a Volume-Verification Layer to market structure. It operates on a simple institutional premise: "Price advertises, Volume validates." A break of structure (BOS) is only considered a valid signal if it is backed by significant institutional volume.
Special thanks to the legendary Kıvanç Özbilgiç , whose extensive work on Supertrend and AlphaTrend concepts has paved the way for modern volatility-based trend systems. This script builds upon those foundational principles by adding a volume-weighted regime filter.
How It Works
This indicator combines two distinct engines to filter market noise:
Structure Engine (ATR Volatility):
It uses an ATR-based trailing stop mechanism (inspired by the classic Supertrend logic) to detect the underlying market structure. This creates the "Floor" (Support) and "Ceiling" (Resistance) of the current trend.
Institutional Volume Filter:
It calculates a relative volume average. If a trend change occurs without volume exceeding the average by a user-defined threshold (default 1.2x), the signal is flagged as Weak .
📖 Visual Guide: How to Interpret the Signs
This indicator communicates through Color and Labels . Here is exactly what each sign means:
1. The Ribbon Colors
🟢 Bright Green Ribbon: CONFIRMED BULLISH.
Meaning: The trend is Up AND Volume is supporting the move.
Action: Look for long entries or hold existing long positions.
🔴 Bright Red Ribbon: CONFIRMED BEARISH.
Meaning: The trend is Down AND Selling pressure is high.
Action: Look for short entries or hold existing short positions.
⚪ Gray / Dimmed Ribbon: WEAK / CHOP ZONE.
Meaning: The price has broken structure, BUT there is no volume to back it up. The market is undecided or resting.
Action: CAUTION. Do not open new trades. Wait for the color to turn Bright Green or Red.
2. The Labels
🏷️ "BOS + Vol" (Break of Structure + Volume):
Meaning: A high-probability signal. Price broke the trend line with a burst of volume.
Interpretation: This is your primary entry trigger.
🏷️ "Low Vol" (Small 'x' or Label):
Meaning: Price crossed the line, but volume was weak.
Interpretation: WARNING. This is likely a fakeout or a liquidity grab. Be very careful trusting this move.
3. The Trailing Line
The solid line running along the price is your Dynamic Stop Loss .
Bullish: As long as candles close above or touch (you choose) this line, the uptrend is valid.
Bearish: As long as candles close below or touch (you choose) this line, the downtrend is valid.
How to Use This Indicator
For Trend Following (Swing Trading)
Wait for the Flip: Look for the ribbon to flip from Red to Green (or vice versa).
Check the Validation: Ensure the ribbon is Bright Green/Red and not Gray. A "BOS + Vol" label is your confirmation.
Set the Stop: Use the plotted Trailing Structure Line as your dynamic Stop Loss.
For Scalping (1m - 15m Timeframes)
Filter the Noise: The most powerful feature for scalpers is the Gray Zone . If the market enters a low-volume drift (lunch hour or pre-market), the ribbon turns Gray. Avoid taking new entries during these periods to prevent "death by a thousand cuts."
Settings & Customization
Structure Lookback: Controls the sensitivity of the trend line. Higher numbers = fewer signals, longer trends.
Filter Low Volume (Chop): Toggle this ON to see the Gray zones. Toggle OFF if you want a standard trend view.
Volume Threshold: The multiplier required to validate a move.
1.2 (Default): Balanced.
1.5+ : Strict (Only catches massive breakouts).
1.0 : Loose (More signals, more noise).
Who Should Use This?
Breakout Traders: To distinguish between a true breakout and a "liquidity sweep."
Crypto Traders: To filter out the low-volume weekend chop.
Beginners: To learn the discipline of waiting for volume confirmation before entering a trade.
Open Source & Transparency
This script is open source to foster learning. The core logic utilizes a modified ATR trailing stop calculation combined with a boolean volume filter (volume > sma(volume) * mult). Traders are encouraged to inspect the code to understand exactly how their signals are generated.
⚠️ Disclaimer
Trading involves a high risk of losing money. This tool is designed for educational and analytical purposes only and does not constitute financial advice.
No indicator is 100% accurate. The "Volume Filter" reduces false signals but cannot eliminate them entirely.
Lag Warning: Like all trend-following tools, this indicator is reactive. It will perform best in trending markets and may produce losses in tight, sideways ranges (though the Gray filter helps mitigate this).
Risk Management: Always use a stop loss and proper position sizing. Never trade solely based on the color of a ribbon.
Laguerre Filter [BackQuant]Laguerre Filter
Overview
The Laguerre Filter is a powerful trend-following tool designed to smooth price action while maintaining responsiveness to market changes. It is based on the Laguerre recursive filter, which is a type of signal processing filter that adapts to both the current price dynamics and the underlying trend. The Laguerre Filter can be seen as a method to reduce market noise, enabling traders to more easily identify the strength and direction of trends while minimizing lag.
The Laguerre Filter is well-suited for markets with varying volatility levels, offering a smoother representation of price action without the delay associated with traditional moving averages. By dynamically adjusting to price movements, the Laguerre Filter provides a more adaptive and reliable signal compared to simpler smoothing techniques.
What is the Laguerre Filter?
The Laguerre Filter is derived from the Laguerre polynomial, which is used in signal processing for smooth filtering of data. The Laguerre filter is a recursive filter, meaning that each new value is calculated based on both the current price data and previous values, with a weighting system that allows it to adapt to market conditions. This recursive nature helps reduce the impact of short-term fluctuations, enabling the filter to focus on the underlying trend.
The Laguerre filter uses a feedback mechanism, where the input signal (price data) is smoothed iteratively. This iterative process helps avoid the lag that is typically associated with traditional moving averages while still capturing the overall trend direction.
The filter is designed to have:
Adaptive behavior: It reacts quickly to significant price changes while ignoring minor fluctuations.
Reduced noise: By filtering out random short-term price movements, it provides a clearer view of the underlying trend.
Customizability: Traders can adjust the filter’s sensitivity through user inputs, making it adaptable to different market conditions.
Core Calculation Methodology
The core of the Laguerre Filter lies in its recursive calculation:
Each new value is calculated using the previous value along with the current price input.
The recursive formula is governed by two key parameters: the damping factor (gamma) and the order of the filter (number of Laguerre elements).
The damping factor controls how responsive the filter is to changes in price. A higher gamma value makes the filter smoother but introduces more lag, while a lower gamma value makes it more reactive to price changes but can introduce more noise.
The order defines how many Laguerre elements are used in the calculation. A higher order results in a smoother output but with more delay, while a lower order provides a faster response but less smoothing.
The filter works by weighting previous values with a binomial weighting system, which assigns more weight to recent values and less weight to older values. This creates a dynamic smoothing effect that adapts to price volatility, ensuring that the filter is neither too slow nor too noisy.
Signal Logic and Trend Detection
The Laguerre Filter continuously evaluates the strength and direction of the trend by comparing the current smoothed value to the previous value:
If the current value is greater than the previous value, the trend is considered bullish, and the filter will signal a long condition.
If the current value is less than the previous value, the trend is considered bearish, and the filter will signal a short condition.
The trend detection logic is based on the recursive nature of the filter, which smooths price movements over time. This allows the filter to capture the broader trend while minimizing the influence of short-term price fluctuations.
The trend state is also visually represented by color-coding:
Green color represents an uptrend (bullish condition).
Red color represents a downtrend (bearish condition).
Neutral (white) indicates no clear trend direction.
This color-coding helps traders easily identify the prevailing trend and decide whether to enter or exit trades based on the trend's strength.
Laguerre Filter Behavior and Performance
The performance of the Laguerre Filter can be influenced by several factors:
Gamma (Damping Factor): A higher gamma value results in a smoother filter but increases lag. A lower gamma value allows for a faster response but may introduce more noise, making it more reactive to smaller price changes.
Filter Order: The order determines how many Laguerre elements are used in the filter calculation. A higher order provides more smoothing but increases lag, while a lower order results in a quicker response but less smoothing.
The sweet spot for gamma is typically between 0.7 and 0.85, where the filter offers a good balance between smoothness and responsiveness. The filter order is usually set to 4 for classic Laguerre filtering, but higher orders can be used for more smoothing if needed.
The Laguerre Filter’s performance shines in markets with sustained trends, where the filter can effectively capture and represent the underlying direction without excessive lag. It is particularly useful in volatile markets, as it helps smooth out noise while providing a clear picture of the trend.
Visual Presentation
The Laguerre Filter provides a dynamic, color-coded line that follows the trend direction. This line can be displayed alongside price data to visually highlight the market trend. In addition to the main Laguerre line, several visual enhancements can be applied:
Gradient fill between the price and the Laguerre Filter line, providing a visual cue for bullish or bearish market conditions.
Candle coloring to reflect the current trend, making it easier to spot trend reversals or confirmations directly on the chart.
Background shading to visually highlight areas of strong trend or consolidation.
Edge glow effect that highlights trend boundaries, making it easy to spot key levels of support or resistance.
These visual elements enhance the usability of the Laguerre Filter, allowing traders to quickly assess the market trend and make informed decisions.
Practical Use Cases
1) Trend Following
The Laguerre Filter is ideal for trend-following strategies. By using the filter to identify the prevailing trend, traders can:
Enter long positions when the Laguerre Filter turns bullish (green).
Enter short positions when the Laguerre Filter turns bearish (red).
By aligning trades with the dominant trend, traders can improve their chances of success.
2) Trend Strength Assessment
The Laguerre Filter can also be used to assess the strength of the trend:
A rising Laguerre value indicates a strengthening uptrend.
A falling Laguerre value indicates a strengthening downtrend.
A flattening Laguerre value signals weakening momentum or consolidation.
This information can be used to adjust position sizing or to decide when to enter or exit a trade.
3) Trade Management
The Laguerre Filter can also assist in trade management:
Use the Laguerre line as a trailing stop for long positions in an uptrend.
Scale out of positions as the Laguerre value begins to flatten or reverse.
Use the Laguerre Filter to avoid trades when the market is in consolidation or lacks a clear trend.
Tuning Guidelines
The Laguerre Filter can be adjusted for different market conditions using the following parameters:
Gamma (Damping Factor): Adjust for the desired level of responsiveness versus smoothness. Typical values range from 0.7 to 0.85.
Filter Order: Adjust to control the level of smoothing. The default value of 4 is a good starting point, but higher orders can be used for smoother filters.
Summary
The Laguerre Filter is a versatile and adaptive trend-following indicator that smooths price data and reduces noise, making it easier to identify and follow trends. By using recursive smoothing techniques and adjustable parameters, the Laguerre Filter provides an accurate representation of market conditions with minimal lag. It is especially useful in volatile markets where traditional moving averages may fail to capture the underlying trend. With its color-coded trend detection, gradient fills, and customizable settings, the Laguerre Filter is a powerful tool for traders looking to stay aligned with the prevailing market direction.
BTC 10m-4h VACI MPOC Swing Signals (ZIOB)If the price is above the MPOC (Moving Point of Control) line, it indicates a high price; below the line, a low price.
A red line indicates a downtrend, a green line an uptrend. If the price sustainably crosses the MPOC line, a pullback is likely, followed by a trend reversal.
The arrows indicate good entry points for swing trades and good points to set and trail a stop-loss.
Sometimes there is no pullback, sometimes there is no trend reversal. That's the risk!
🔍 **BTC 10m-4h VACI MPOC Swing Signals (ZIOB)**
✅ **VACI = Volatility-Adaptive Convergence Indicator**
• Auto-adjusts signal thresholds to Bitcoin volatility (ATR-based)
• Detects trend reversals via 11m/45m line convergence
• Blocks counter-trend signals using 4h trend filter (prevents overtrading)
🎯 **IDEAL FOR:**
• **Swing traders** on 45m charts (medium holds with trend confirmation)
⚠️ **CRITICAL NOTES:**
• **Exclusively optimized for Bitcoin** in 45m-4h timeframes
• **"ZIOB"** is a trademark/name of ZiobMichael – no affiliation with third parties
• **NOT financial advice** – always use stop-loss and risk management
🔖 **VERSION:** 7.3.1 | **AUTHOR:** @ZIOB
Only use my indicator if you have basic trading knowledge and can identify uptrends/downtrends and trading ranges. It works well in conjunction with volume boxes as an entry point and Fibonacci retracements to determine take profits. It works excellent in combination with HeikinAshi candles.
Stay disciplined, stay profitable!
JD MOON Global Volume ChartJD MOON Global Aggregated Volume (Top 5 Exchanges)
Short Description (အကျဉ်းချုပ်)
ကမ္ဘာ့ထိပ်သီး Exchange ၅ ခု (Binance, Bybit, OKX, Coinbase, Kraken) တို့၏ အရောင်းအဝယ်ပမာဏ (Volume) ကို တစ်နေရာတည်းတွင် စုပေါင်းကြည့်ရှုနိုင်ပြီး ဝေလငါးများ၏ အရွှေ့အပြောင်းကို ခြေရာခံနိုင်သော Indicator ဖြစ်ပါသည်။
Detailed Description (အသေးစိတ်ဖော်ပြချက်)
JD MOON Global Aggregated Volume သည် Crypto Trader များအတွက် ဈေးကွက်၏ ပကတိအခြေအနေအစစ်အမှန်ကို သိရှိနိုင်ရန် ရည်ရွယ်ထုတ်လုပ်ထားပါသည်။ ပုံမှန် Volume Indicator များသည် Exchange တစ်ခုတည်းကိုသာ အခြေခံသော်လည်း ဤ Script သည် ကမ္ဘာ့အကြီးဆုံး Exchange ၅ ခု၏ Data ကို စုပေါင်းတွက်ချက်ပေးသဖြင့် ပိုမိုတိကျသော Actual Real Volume ကို ရရှိစေပါသည်။
Key Features (အဓိကလုပ်ဆောင်ချက်များ):
Global Multi-Exchange Data: Binance, Bybit, OKX, Coinbase နှင့် Kraken တို့၏ Volume များကို တစ်ပြိုင်နက်တည်း ပေါင်းစပ်ပေးခြင်း။
Whale Detection Signal (ရွှေရောင်တိုင်): အရောင်းအဝယ်ပမာဏသည် ပျမ်းမျှထက် ၂.၅ ဆကျော်လွန်ပါက "ရွှေရောင်" ဖြင့် ထူးခြားစွာပြသပေးပြီး ဝေလငါးများ (Institutional Investors) ဝင်ရောက်မှုကို အချက်ပေးခြင်း။
Dynamic Volume MA: Volume ၏ ပျမ်းမျှမျဉ်း (MA) ပါဝင်သဖြင့် လက်ရှိ Volume သည် ပုံမှန်ထက် များ/နည်း ကို လွယ်ကူစွာ သိရှိနိုင်ခြင်း။
Compact Formatting: Volume ပမာဏများကို K, M, B အတိုကောက်များဖြင့် Dashboard တွင် ရှင်းလင်းစွာ ပြသပေးခြင်း။
HTF Bias & Key LevelsRange EQ Bias & Levels is a clean, non-repainting higher-timeframe overlay tool designed to help traders align lower-timeframe decisions with broader market context.
Key features:
• Displays the midpoint (EQ) of the recent range as a central pivot
• Provides directional bias (Bull / Bear / Range) based on price position relative to EQ
• Plots key levels: range high/low, recent swing high/low
• Optional candle strength filter to reduce noise and false bias flips
• Subtle background tint + right-side level tags for quick visual reference
Perfect for day traders, swing traders, and anyone wanting a simple HTF filter without laggy oscillators or smoothed indicators.
Use on 4H/Daily charts for context, or pair with lower-timeframe setups for confluence.
Completely free – enjoy and happy trading!
[X342] Market Radar Market Radar — Multi-Indicator Dashboard
OVERVIEW
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Market Radar is a comprehensive dashboard that consolidates 19+ technical indicators into a single, easy-to-read panel with automatic scoring and decision signals.
METHODOLOGY
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
The indicator combines multiple technical analysis approaches:
1. Trend Indicators (7 total)
- EMA 14, 21, 34 (short-term trend)
- SMA 50, 200 (long-term trend)
- SuperTrend (ATR-based)
- Parabolic SAR
- Ichimoku Cloud
2. Oscillators (7 total)
- RSI (14) - momentum
- MACD - trend momentum
- Stochastic - overbought/oversold
- ADX - trend strength
- ROC - rate of change
- Williams %R - momentum
- RVOL - relative volume
3. Pivot Levels (3 timeframes)
- Daily Pivot
- Weekly Pivot
- Monthly Pivot
4. Special Indicators
- Fibonacci retracements (auto-drawn)
- AVWAP (monthly)
- Squeeze detection (BB inside KC)
- Composite analysis (E34, E233)
SCORING SYSTEM
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Each indicator contributes to the total score (max 19 points):
- Score ≥ 10: BUY signal
- Score 7-9: NEUTRAL
- Score ≤ 6: SELL signal
Strong signals: ≥14 (Strong Buy) or ≤4 (Strong Sell)
FEATURES
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✓ Dual language support (English / Türkçe)
✓ 19-point scoring system
✓ Auto-drawn Fibonacci levels
✓ Squeeze detection
✓ Composite EMA analysis
✓ Color-coded indicators
DASHBOARD LAYOUT
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6 columns × 11 rows organized by category:
Column 1-2: Trend indicators and values
Column 3-4: Oscillators and values
Column 5-6: Pivots, special, score, decision
SETTINGS
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Fibonacci:
- Show Fibonacci: Toggle Fib levels
- Fibonacci Lookback: Period for high/low (default: 100)
Dashboard:
- Show Dashboard: Toggle panel
- Position: Corner selection
Colors:
- Bullish Color: Green for positive signals
- Bearish Color: Red for negative signals
- Neutral Color: Gray for neutral
ALERTS
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• Strong Buy Signal: Score ≥ 14
• Strong Sell Signal: Score ≤ 4
• Squeeze Detected: Volatility compression
BEST PRACTICES
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- Use for quick market overview
- Higher scores on higher timeframes = stronger signals
- Combine with price action confirmation
- Watch for squeeze as potential breakout setup
- Score changes can indicate trend shifts
StealthFX Signals NavigatorThe StealthFX Signals Navigator is a high-performance trend-following suite designed for traders who demand institutional-grade clarity without the clutter. Inspired by the sleek aesthetics of premium toolkits like LuxAlgo, this indicator strips away the noise to provide a singular, high-probability "path of least resistance" for your trades.
🛡️ The Core Philosophy: "Trade with the Giant"
Most retail traders fail because they fight the primary trend. The Navigator solves this by using a 200-period EMA Filter.
Blue Signals (BUY): Only occur when price action is confirmed above the 200 EMA.
Purple Signals (SELL): Only occur when price action is confirmed below the 200 EMA.
🎯 Precision Entry & Risk Management
Stop guessing where to exit. The Navigator uses a volatility-adjusted ATR engine to calculate your targets the moment a signal prints.
Pip-Clamped Logic: To ensure trades remain realistic, the script automatically clamps your Stop Loss between 30 and 100 pips (with a hard safety cap at 200), making it ideal for Forex and Indices.
1:2 Risk-Reward: Every signal aims for a mathematical edge, setting a Take Profit (Blue Line) that is double the distance of your Stop Loss (Purple Line).
🧹 The "Clean Chart" Evolution
We believe a cluttered chart leads to a cluttered mind.
Smart-Hiding: Unlike standard indicators that leave old lines everywhere, the Navigator tracks price in real-time. The moment your TP or SL is touched, the lines vanish.
Signal Priority: The script resets with every new momentum shift, ensuring you are always looking at the most relevant trade setup.
🚀 Key Features
Modern Aesthetic: A sleek Neon Blue & Deep Purple theme designed for dark-mode enthusiasts.
Universal Scaling: Works across Forex, Crypto, and Stocks thanks to its "Mintick" sensitive calculation engine.
Zero Repaint: Signals confirm on the close of the bar, providing stable historical data for backtesting.
Integrated Alerts: Set-and-forget notifications for both Buy and Sell entries.
📈 How to Use
Identify the Bias: Watch the gray 200 EMA.
Execute: When a label appears, immediately set your limit orders at the displayed Blue (TP) and Purple (SL) levels.
Patience: Let the trade run. The lines will disappear automatically once the outcome is decided.
Best Timeframes: 15m, 1h, 4h. Best Assets: Major FX Pairs (EURUSD, GBPUSD), Gold (XAUUSD), and US Tech Indices.
