Supertrend + RSI + EMA + MACD - Fixed Single SignalMomentum trading with signals to add alerts and connect to API for Algo trading
Трендовый анализ
Keltner-Aroon-EFI FlowKeltner-Aroon-EFI Flow (KAE)
KAE Flow is a quantitative composite indicator designed to identify dominant market trends by fusing three distinct dimensions of price action: Volatility, Trend Age, and Volume Pressure.
Unlike standard indicators that rely on a single data point (like a moving average crossover), KAE Flow aggregates three independent logic engines into a single normalized "Flow" score. This score is then smoothed using an Arnaud Legoux Moving Average (ALMA) to filter out noise while retaining responsiveness to genuine trend reversals.
This script operates strictly on the current chart timeframe, ensuring all signals are causal, non-repainting, and reliable for real-time analysis.
1. The Quantitative Engine (How it Works)
The indicator polls three separate components. Each component votes "1" (Bullish), "-1" (Bearish), or "0" (Neutral). These votes are averaged to create the raw signal.
K — Keltner Channels (Volatility Dimension)
Concept: Measures volatility expansion.
Logic: The script calculates Keltner Channels using an EMA center line and ATR bands.
Bullish (+1): Price closes above the Upper Channel.
Bearish (-1): Price closes below the Lower Channel.
This component ensures we only trade when price is breaking out of its expected volatility range.
A — Aroon (Trend Age Dimension)
Concept: Measures the strength and "freshness" of a trend.
Logic: We utilize the Aroon Up and Aroon Down metrics.
Bullish (+1): Aroon Up is greater than Aroon Down AND Aroon Up is > 70.
Bearish (-1): Aroon Down is greater than Aroon Up AND Aroon Down > 70.
This filters out weak or aging trends, ensuring the move has mathematical momentum.
E — Elder’s Force Index (Volume Dimension)
Concept: Measures volume-weighted price change.
Logic: We calculate the raw Force Index (Close - Close ) * Volume and smooth it with an EMA.
Bullish (+1): Smoothed EFI > 0.
Bearish (-1): Smoothed EFI < 0.
This component confirms that price movement is supported by actual volume flow (accumulation/distribution).
2. Signal Processing (ALMA Smoothing)
Raw aggregation can be noisy. The composite score is passed through an ALMA (Arnaud Legoux Moving Average) filter.
Why ALMA? It uses a Gaussian distribution to provide smoothness without the significant lag associated with SMA or EMA. This creates the "Flow" line that resists false flips during choppy consolidation.
3. How to Use
The indicator plots a signal line and dynamically colors the price bars and background to reflect the dominant bias.
Deep Blue (Bullish Flow): The KAE Score is > 0.1. All three engines (or the majority) are aligned bullishly. Traders typically look for long entries or hold existing long positions.
White (Bearish Flow): The KAE Score is < -0.1. The majority of engines detect bearish volatility and volume. Traders typically look for short entries.
Gray (Neutral): The score is between -0.1 and 0.1. The market is in equilibrium or transition. Trend-following strategies should be paused.
4. Configuration
Logic Engine: You can toggle individual components (K, A, or E) on or off to isolate specific market dimensions.
Smoothing: Adjust the ALMA Window and Offset to fine-tune the sensitivity of the signal line.
Lengths: Fully customizable periods for Keltner, Aroon, and EFI to adapt to different asset classes (e.g., Crypto vs. Forex).
Mean-Reversion Strategy (RSI + ATR) v1
Entry: Wait for RSI(10) to cross 35 (bullish) or 65 (bearish)
Stop-loss: 2.5 times current ATR away from entry
Take-profit: 4 times current ATR away from entry
Risk: 2% of account per trade
Skip trades if price moved >5% recently or volume is below average
Risk/Reward: You risk $1 to make $1.60 (1:1.6 ratio)
That's the complete strategy. Simple, rules-based, volatility-adjusted for crypto.
Future Swing [BigBeluga]🔵 OVERVIEW
Future Swing is a swing-based projection tool that estimates the potential size and price target of the next swing move using historical swing behavior.
Instead of predicting direction randomly, it analyzes completed swing legs, measures their percentage moves, and projects a statistically derived swing target into the future.
The indicator combines swing structure, high/low zones, volume context, and a real-time dashboard to help traders anticipate where price may travel next.
🔵 CONCEPTS
Swing Detection — Swing highs and lows are identified using a configurable lookback length.
Swing Percentage Tracking — Each completed swing leg is converted into a percentage move and stored.
Statistical Projection — Future swing size is estimated using Average, Median, or Mode of past swing percentages.
Directional Awareness — Projections adapt automatically based on current swing direction.
🔵 FEATURES
Historical Swing Sampling —
• Uses a user-defined number of completed swings.
• More samples = smoother projection, fewer samples = faster adaptation.
Future Swing Projection —
• Dashed line projects the estimated swing target forward in time.
• Projection distance is visual-only and does not affect calculations.
High/Low Swing Zones —
• Upper and lower swing zones expand using ATR distance.
• Zones visualize potential reaction and rejection areas.
Volume Context per Swing —
• Buy and sell volume are accumulated during each swing leg.
• Delta and total volume are displayed in the dashboard.
Smart Dashboard —
• Displays each stored swing percentage.
• Shows calculated swing projection value.
Flexible Projection Method —
• Average: smooth and balanced.
• Median: filters out extreme outliers.
• Mode: focuses on the most common swing size.
Extendable Zones —
• Swing zones can optionally extend forward indefinitely.
🔵 HOW TO USE
Anticipate Swing Targets — Use the projected swing line as a probabilistic price objective.
Combine with Structure — Align projections with support, resistance, or liquidity zones.
Filter by Volume — Confirm swing quality using delta and total volume metrics.
Adjust Sensitivity — Tune swing length and historical sample size to match timeframe and volatility.
Context, Not Certainty — Use projections as guidance, not fixed take-profit levels.
🔵 CONCLUSION
Future Swing transforms past swing behavior into a forward-looking projection model.
By combining swing structure, statistical aggregation, ATR zones, and volume analysis, it offers traders a structured way to estimate where the next meaningful price move may reach — without relying on fixed targets or subjective assumptions.
Multi-Timeframe EMA Bundle (576/676/144/169/12)A comprehensive EMA (Exponential Moving Average) indicator combining five key moving averages used by professional traders for trend identification and dynamic support/resistance levels.
Included EMAs:
EMA 576 & EMA 676 (Blue) — Long-term trend filters commonly used on lower timeframes to represent higher timeframe structure. Acts as major support/resistance zones.
EMA 144 & EMA 169 (White) — Mid-term trend indicators derived from Fibonacci numbers. When price respects this zone, it often signals strong trend continuation.
EMA 12 (Yellow) — Short-term momentum tracker for entries and exits. Useful for identifying pullback opportunities within the trend.
AI Adaptive Trend Navigator Strategy Echo EditionAI Adaptive Trend Navigator Strategy
This is a professional long-only automated strategy optimized for Taiwan Index Futures (TX). Based on the LuxAlgo clustering framework, this version features advanced logic iteration for institutional-grade backtesting and execution.
1. Realistic Cost Modeling To ensure backtest reliability, this strategy is pre-configured with:
Slippage: 2 ticks (Approx. 400 TWD per side).
Commission: 100 TWD per side.
Total Cost: 500 TWD per side. This provides a rigorous stress test for real-world trading environments.
2. State Consistency & Logic Continuity Optimized the underlying array handling to ensure "State Persistence." This eliminates the logic gaps common in real-time script execution, ensuring that historical signals are 100% consistent with live alerts.
3. Adaptive AI Clustering Utilizes K-means clustering to dynamically select the optimal ATR factors based on current market volatility, allowing the strategy to "evolve" as market regimes shift.
🧠 開發理念:追求實戰一致性的量化策略 本策略旨在為台指期(TX)提供一套具備真實參考價值的自動化系統。
✨ Echo 版核心優化點
數據連續性迭代:修正底層邏輯,確保訊號在即時盤勢中穩定不跳斷。
真實交易成本模擬:預設 2 點滑價 與 單邊 100 TWD 手續費,單邊總成本對標 500 TWD,拒絕虛假神單,挑戰最嚴苛的回測環境。
台指期專屬參數調校:融入針對台灣市場波動特性的預設參數與過濾邏輯。
🛡️ 進階實戰過濾
空間緩衝區 (Buffer Strategy):價格需有效突破緩衝區才觸發,精準過濾盤整雜訊。
AI 信心評分系統:只有當動能穩定度達標時才會發進場訊號。
冷卻保護機制:有效抑制訊號在洗盤區間過度頻繁跳動。
⚠️ Disclaimer: Backtest results do not guarantee future performance.
Euro Day StrategyThis is a false breakout reversal strategy that fades short-term breakouts when they conflict with longer-term momentum. Here's the detailed breakdown:
Strategy Overview
Type: Counter-trend/Fade strategy disguised as breakout trading
Core Logic: Enter against immediate breakouts when longer-term momentum suggests the move is exhausted.
Strategy Classification
This is a FADE/EXHAUSTION strategy, NOT a breakout-following strategy
Enters against the immediate breakout direction
Bets on mean reversion when short-term price action diverges from longer-term momentum
Works best in ranging/choppy markets where breakouts frequently fail
Will get hurt in strong trending markets where breakouts are genuine
This strategy is designed for intraday mean-reversion trading on instruments that tend to range (likely forex or futures). It requires markets where false breakouts are common and price tends to snap back quickly.
MTF Equals v1.0MTF Equals is a professional-grade tool designed to identify significant price levels across multiple timeframes. It scans the current chart and higher timeframes (HTF) for identical highs and lows ("Equals"), which often act as price magnets or liquidity pools.
Key Features:
Multi-Timeframe Analysis: Automatically detects identical highs and lows on the current chart, as well as M5, M15, M30, H1, H4, and Daily.
NQ Auto-Detection: Specialized logic for Nasdaq (NQ) that automatically determines the ideal starting point for analysis based on volume, efficiency, and price density.
Live Statistics: Displays the number of touches and the bar distance from the first touchpoint directly on the price level.
Smart Cleaning: Levels are automatically removed once they are significantly breached by price, keeping your chart clutter-free.
Advanced Visuals: Fully customizable colors, line styles, and label positioning (e.g., Align to Margin).
How to use:
Perfect for spotting "Equal Highs/Lows" (Liquidity) or confirming institutional support and resistance zones.
AI Adaptive Trend Navigator Echo EditionAI Adaptive Trend Navigator
This is an advanced trend-following system optimized for high-volatility index futures (TX). Built upon the LuxAlgo clustering framework, this version introduces several critical enhancements to meet professional trading standards:
1. State Consistency Iteration Enhanced the underlying logic for dynamic arrays and User-Defined Types (UDTs) to ensure stable "State Persistence." This fix eliminates logic gaps during real-time price fluctuations, ensuring that historical backtests perfectly align with live execution.
2. Adaptive Factor Tuning (K-means) The system simulates dozens of parameter paths in real-time, using K-means clustering to automatically select the optimal factor suited for the current market volatility.
3. Advanced Practical Filters
Dynamic Buffer Strategy: Filters out market noise during consolidation and early session volatility.
Confidence Threshold: Only triggers signals when the AI performance score meets the required quality.
Cooldown Logic: Prevents rapid signal flipping in choppy markets.
🧠 開發理念:將 AI 自適應力帶入台指期實戰 針對台指期(TX)高波動特性開發,透過機器學習演算法動態尋優,解決傳統指標參數固定的滯後性。
✨ Echo 版核心優化點
數據連續性迭代:底層邏輯優化,確保訊號在即時盤勢中穩定不跳斷,回測與實戰高度吻合。
自適應動態尋優:透過 K-means 聚類自動鎖定當前最佳 ATR 因子。
實戰多重濾網:包含空間緩衝區 (Buffer) 與信心門檻,大幅提升訊號品質。
📊 視覺說明
🚀 Rocket: AI confirms trend momentum.
⚡ Lightning: Trend exhaustion or reversal warning.
⚠️ Disclaimer: For educational and technical analysis purposes only.
Kevin J. Davey EURO Night StrategyEuro Night Strategy is a time‑filtered, volatility‑aware system originally built for Euro FX futures. Still, your adaptation to XAL and BTC on 1h bars makes sense because both markets show overnight drift patterns that the strategy can exploit.
[Sumit Ingole] 200-EMA SUMIT INGOLE
Indicator Name: 200 EMA Strategy Pro
Overview
The 200-period Exponential Moving Average (EMA) is widely regarded as the "Golden Line" by professional traders and institutional investors. This indicator is a powerful tool designed to identify the long-term market trend and filter out short-term market noise.
By giving more weight to recent price data than a simple moving average, this EMA reacts more fluidly to market shifts while remaining a rock-solid trend confirmation tool.
Key Features
Trend Filter: Instantly distinguish between a Bull market and a Bear market.
Price above 200 EMA: Bullish Bias
Price below 200 EMA: Bearish Bias
Dynamic Support & Resistance: Acts as a psychological floor or ceiling where major institutions often place buy or sell orders.
Institutional Benchmark: Since many hedge funds and banks track this specific level, price reactions near the 200 EMA are often highly significant.
Reduced Lag: Optimized exponential calculation ensures you stay ahead of the curve compared to traditional lagging indicators.
How to Trade with 200 EMA
Trend Confirmation: Only look for "Buy" setups when the price is trading above the 200 EMA to ensure you are trading with the primary trend.
Mean Reversion: When the price stretches too far away from the 200 EMA, it often acts like a magnet, pulling the price back toward it.
The "Death Cross" & "Golden Cross": Use this in conjunction with shorter EMAs (like the 50 EMA) to identify major trend reversals.
Exit Strategy: Can be used as a trailing stop-loss for long-term positional trades.
Best Used On:
Timeframes: Daily (1D), 4-Hour (4H), and Weekly (1W) for maximum accuracy.
Assets: Highly effective for Stocks, Forex (Major pairs), and Crypto (BTC/ETH).
Disclaimer: This tool is for educational and analytical purposes only. Trading involves risk, and it is recommended to use this indicator alongside other technical analysis tools for better confirmation.
Bias Daily (with Alerts)This indicator draws bullish/bearish bias lines from prior candles and sends alerts when price breaks the previous candle’s high or low. It’s non-repainting, works on all timeframes, and helps you spot momentum shifts and breakouts early.
Phantom Support & Resistance Auto [PT-IND-SR.001]Overview
Phantom Support & Resistance Auto is a context-focused support and resistance indicator designed to visualize price interaction zones derived from multiple market behaviors.
The script does not generate buy or sell signals.
Instead, it provides a structured map of potential reaction areas, allowing traders to better understand where price has historically reacted, consolidated, or extended liquidity.
This indicator is intended to be used as a decision-support and contextual analysis tool, not as a standalone trading system.
How the Script Works
The indicator combines several independent but complementary methods of identifying support and resistance.
Each method captures a different type of market behavior, and all components can be enabled or disabled independently.
1) High / Low Zones (Range Extremes)
This module tracks the highest high and lowest low over a configurable lookback period.
These levels represent recent range boundaries, which often act as reaction zones during consolidation or pullbacks.
They are visualized as extended horizontal levels to preserve historical context.
2) Pivot Zones (Filtered & Merged Levels)
Pivot zones are derived from confirmed pivot highs and lows.
To avoid excessive and overlapping levels, the script applies a merge tolerance based on either:
ATR distance, or Percentage distance from price
Nearby pivot levels are merged into a single zone, and each zone tracks how many times price has interacted with it.
This interaction count adjusts visual strength, creating a relative importance hierarchy rather than treating all levels equally.
An optional higher-timeframe source can be used to project structurally significant levels onto lower timeframes.
3) Wick Liquidity Zones
This module detects candles with disproportionately large wicks relative to their bodies.
Such candles often indicate liquidity grabs, stop runs, or rejection areas.
Detected wick levels are extended forward to highlight areas where liquidity was previously absorbed.
This component focuses on price rejection behavior, not trend direction.
4) PR Levels (Volatility-Adjusted Predicted Ranges)
PR levels are derived from a volatility-adjusted average price model.
Using ATR as a normalization factor, the script calculates a central average along with upper and lower projected zones.
These levels are adaptive, expanding and contracting with volatility, and are intended to represent probabilistic price ranges, not fixed targets.
5) MACD-Based Support & Resistance (Heikin Ashi Source)
This module derives dynamic support and resistance levels based on MACD momentum shifts, calculated from Heikin Ashi price data to reduce noise.
When MACD momentum transitions occur, recent highs and lows are captured and projected as potential reaction zones.
This component focuses on momentum-driven structural changes, rather than static price levels.
Why These Components Are Combined
Each component captures a different dimension of market behavior:
High / Low zones → Range extremes
Pivot zones → Structural reaction points
Wick zones → Liquidity and rejection behavior
PR levels → Volatility-normalized price ranges
MACD S&R → Momentum-based structural shifts
By combining these sources, the indicator provides a layered view of support and resistance, allowing traders to evaluate confluence, alignment, or divergence between different types of levels instead of relying on a single method.
The script does not assume all levels are equal; visual weighting helps distinguish structural levels from situational ones.
Visualization & Outputs
Color-coded horizontal zones with strength-based opacity
Optional glow effects for visual clarity
Independent toggles for each S&R source
A table showing percentage distances between projected PR levels, helping users contextualize price location within its current range
All visual components are configurable and can be selectively disabled to reduce chart clutter.
How to Use
Use this indicator as a context and mapping tool
Observe areas where multiple zone types align for higher contextual significance
Combine with your own entry logic, confirmations, and trade management rules
Suitable for multi-timeframe analysis and market structure studies
Risk Management Notice
This indicator should always be used as part of a well-defined risk management plan.
Support and resistance zones represent areas of potential interaction, not guaranteed reactions.
Users are responsible for applying appropriate:
Position sizing
Stop placement
Risk-to-reward rules
The indicator does not manage risk automatically and should not replace proper risk management practices.
What This Script Is NOT
It is not a buy/sell signal generator
It does not predict future price direction
It does not guarantee reactions at every level
It should not be used as a standalone trading strategy
Originality & Purpose
The originality of this script lies in its structured integration of multiple support and resistance methodologies, each preserved as a distinct analytical layer rather than blended into a single opaque output.
The purpose is to help traders understand where price has interacted with liquidity, structure, and volatility, not to automate trade decisions.
Futures Trend Signaler Final VersionFutures Trend Signaler is a compact, multi-timeframe EMA “trend dashboard” built for intraday futures/index trading.
It displays a clean table (1m + two lower timeframes you choose, e.g., 15s and 1s) that shows:
EMA 9 vs EMA 21 (short-term momentum / immediate trend direction)
EMA 21 vs EMA 50 (trend “sustainability” / broader continuation bias)
Price vs 1m EMA 9 (LTF/Ultra price position relative to the 1-minute momentum line)
Each cell is color-coded (green = bullish, red = bearish, gray = neutral/na) so you can read bias at a glance. When a new EMA crossover occurs, the table also flags it (and tracks the most recent bull/bear cross) so you can quickly see if momentum just flipped—without cluttering the chart with overlapping markers.
Fully customizable table position and text size. Designed to stay lightweight by using minimal higher/lower timeframe requests.
Disclaimer: This indicator is for informational/educational purposes only and is not financial advice. Always use proper risk management.
Pivot Points with Support/ResistanceA) Pivot Resistance Levels (R1, R2, R3…)
Resistance pivots are projected upside levels where price often pauses, rejects, or reverses. They are commonly used as profit targets for long trades and areas to watch for short setups when buyers show weakness.
B) Pivot Support Levels (S1, S2, S3…)
Support pivots are projected downside levels where price often stabilizes or bounces. They are commonly used as profit targets for short trades and areas to watch for long setups when sellers lose momentum.
C) Role in Market Structure
S/R pivots map out probable intraday supply and demand zones based on the prior session’s price action. They help define the day’s trading range and highlight high-probability reaction areas.
D) Trading Interpretation
Acceptance above resistance → bullish continuation
Rejection at resistance → potential pullback or reversal
Acceptance below support → bearish continuation
Rejection at support → potential bounce
Best used with trend context, volume, and confluence (CPR, VAH/VAL, Camarilla)
Apexflow PRO: Anchored Fair Value + Regime Readiness [v6]## Apexflow PRO — Anchored Fair Value Cloud + Regime Readiness (Non-Repaint Signals)
**Apexflow PRO** is an overlay indicator built to answer one core trading question:
**“Is price currently cheap, fair, or expensive — and is the market in a regime where that matters?”**
Instead of throwing random signals at you, Apexflow PRO combines **anchored fair value**, **market regime detection**, **flow participation**, and **optional cross-market confirmation** into a single, easy-to-read system with a **Readiness Score (0–100)** and clean, non-spam alerts.
---
# What you see on the chart
### 1) Anchored Fair Value Cloud (the “tunnel”)
This is the heart of the indicator.
* **Midline = Anchored VWAP fair value**
* Resets by **Day / Week / Month** (you choose).
* **Cloud = 3-layer adaptive tunnel**
* **Core (blue)** = “fair pricing zone”
* **Upper red layers** = increasingly stretched/expensive
* **Lower teal layers** = increasingly stretched/cheap
**Interpretation (beginner-simple):**
* **Inside blue core** → “priced fairly”
* **Below the tunnel** → “cheap / discounted”
* **Above the tunnel** → “expensive / premium”
* **Outer layers** → “extreme stretch” zones (higher snap-back risk)
### 2) Regime label (context filter)
Apexflow labels the market environment as:
* **TRENDING**
* **CHOP/RANGE**
* **VOLATILE**
* **BREAKOUT**
This prevents “using the right tool in the wrong market.”
Example: mean reversion works better in chop; trend continuation works better in trend/breakout regimes.
### 3) Readiness Score (0–100)
This is the **strength of confluence** between the engines.
* Low score = mixed signals / noise
* High score = alignment / higher-quality conditions
### 4) BUY / SELL signals (non-spam)
Signals trigger only when:
* **Readiness crosses above your threshold** (first bar only)
* **Regime filter agrees**
* **Structure agrees** (reclaim midline / lose midline OR location within the tunnel)
* **Cooldown** prevents rapid repeats
---
# What’s behind it (advanced, but readable)
Apexflow PRO uses four engines:
## A) Anchored Fair Value Engine (core)
A true anchored VWAP-style accumulator:
* Aggregates **price × volume** and **volume**
* Resets on your chosen anchor period
* Produces a stable “fair value spine”
### Stable Mode (important)
When **Stable Mode = ON**, Apexflow **does not drift intrabar** on live candles.
The anchored midline and tunnel update on confirmed bar closes to avoid the classic “wiggling anchor” problem.
## B) Regime Engine (Trend/Chop/Breakout/Volatile)
Uses multiple independent measures (not just one):
* **ADX** = trend strength
* **Efficiency Ratio (ER)** = trend efficiency vs chop
* **BB Width %Rank** = compression / squeeze context
* **ATR %Rank** = volatility regime context
This produces both a **regime label** and a **regime confidence score** used in the composite.
## C) Flow Engine (participation + intent proxy)
A blended participation model:
* **Signed candle pressure** (body vs range scaled by volume)
* **Wick rejection bias** (rejection strength)
* **RVOL** (relative volume lift)
This helps distinguish “real moves” from low-quality drifts.
## D) Cross-Market Confirmation (optional)
A light macro filter to reduce false positives:
* **Equities:** VIX (inverse risk)
* **Forex:** DXY (inverse USD pressure)
* **Crypto:** BTC.D (risk tone proxy)
If the cross-market symbol is unavailable, the script **falls back gracefully** and automatically reduces its weight.
---
# How to use (simple rules)
## Trend Following mode (default)
Best when you want to ride directional moves.
**BUY idea:**
* Readiness crosses above threshold
* Regime is **TRENDING** or **BREAKOUT**
* Price is reclaiming the midline OR is occurring from the lower half of tunnel
**SELL idea:**
* Same logic in reverse (lose midline / upper half)
**Practical beginner rule:**
> In Trend mode, treat the midline like “bias.”
> If price is above the midline and score is strong → favor longs.
> If below and score is strong → favor shorts.
## Reversion mode
Best in chop/range markets.
* Signals are biased toward **mean reversion**
* Use tunnel extremes as “stretch zones”
* Targets often gravitate back toward the **midline / inner bands**
---
# Best settings & timeframes (starting points)
These are practical defaults (not magic):
### Crypto
* 15m / 1H / 4H
* Anchor Reset: **Week**
* Threshold: **60–70**
### Equities / Indices
* 5m / 15m / 1H
* Anchor Reset: **Day or Week**
* Threshold: **60–75**
### Forex
* 15m / 1H
* Anchor Reset: **Day**
* Threshold: **60–75**
If signals feel too frequent: raise **Threshold** or increase **Cooldown**.
If signals feel too rare: lower **Threshold** slightly or reduce **Cooldown**.
---
# Alerts
Included:
* **Apexflow PRO Long**
* **Apexflow PRO Short**
These fire only when the indicator triggers a confirmed, threshold-cross event (designed for clean alerting).
---
# Notes & limitations (honest)
* This is not a “predict the future” tool — it’s a **context + fair value + confluence** system.
* Cross-market filters are helpful, but not universal. If you trade niche assets, consider turning cross-market OFF or customizing the reference symbol.
* Always use risk management. A strong score is not a guarantee.
MA12 x MA80 Bands Signals - JAMMALMA12 × MA80 Bands Signal – Trend Assistant | Jammal
This script provides a clean and simple entry-timing assistant based on the interaction between MA12 and dynamic bands around MA80.
It helps visualize potential trend-based entry points with clear and non-intrusive signals.
The MA80 bands are fully adjustable, allowing you to customize the sensitivity based on the market and timeframe.
Features:
Trend-based entry assistance
MA12 cross with MA80 dynamic bands
Adjustable MA80 bands (user-controlled offset)
Clear triangles, labels, and short horizontal levels
Works on all markets and all timeframes
Helps visualize trend interaction and entry timing
Designed for traders who want a simple, clean, and supportive trading tool.
Supporting tool only – not a complete trading system.
Enjoy and happy trading!
Jammal
Dual Candle PathThis indicator displays the Master Trendline. This line is composed of two other lines: the Candle Born Trendline and the Candle End Trendline. Visualizing its progress allows you to track the significant influence of the closing price on price movements and the various ways in which it determines them. Its use is enhanced when the candlestick color is removed.
Band Walk Detector TENKYO [BASIC]1. Abstract: The Computational Resolution of Cognitive Latency
This publication presents the findings of the "TENKYO" Research Project , focusing on the algorithmic detection of high-probability volatility breakouts ("Band Walks") on the 15-minute timeframe.
Problem Statement: Manual trading suffers from a critical "Cognitive Latency Gap." A trader cannot simultaneously process multi-dimensional variables—volatility expansion rates (derivative of variance), candle morphology (price rejection ratios), and time-weighted liquidity cycles—within the millisecond timeframe required for optimal execution.
Solution: This script is not a discretionary indicator but a Hard-Coded Decision Support System . It automates the verification of market conditions using a "Piecewise Constant Parameter Model," offloading the computational burden from the human operator to the CPU.
Note: This is a research release for the verification of the TENKYO logic, not a commercial product.
2. Theoretical Framework & Methodology
The architecture of this script rejects the standard "Stationary Volatility Assumption" (the idea that market behavior is consistent throughout the day). Instead, it adopts a Time-Segmented Heteroskedasticity Model.
A. Temporal Segmentation Logic (The Session Filter)
Global forex markets exhibit distinct liquidity profiles based on the active session (London, New York, Tokyo/Sydney). A standard deviation ($\sigma$) that signals a breakout in the Asian session is often mere noise in the London session.To solve this, the script partitions the trading day into four distinct phases ($S_1, S_2, S_3, S_4$) and applies a Dynamic Parameter Matrix:
・ Logic: $P(t) = \{ \text{Length}_i, \text{Mult}_i, \text{Threshold}_i \}$ where $t \in S_i$
・ Implementation: The script contains an extensive if-else structure that automatically swaps the Lookback Period and Deviation Multiplier based on the timestamp. This allows the algorithm to "tighten" or "loosen" its sensitivity relative to expected market volume.
B. Synthetic Execution Modeling (Bid/Ask Simulation)
TradingView's default variables (close, high, low) represent mid-market data, which fails to account for the spread cost inherent in execution.
・Correction: This algorithm internally calculates synthetic Bid and Ask prices using a defined spread factor ($\Delta$).
・Formula:
$$P_{Ask} = P_{Mid} + (\Delta / 2), \quad P_{Bid} = P_{Mid} - (\Delta / 2)$$
3. Algorithmic Core: The "TENKYO" Logic
The script identifies a "Band Walk" only when three independent layers of logic align perfectly.
Layer 1: The Volatility Impulse (Expansion)
The primary trigger is not merely price crossing a band, but the acceleration of the Band Width.
・Condition: The algorithm monitors the differential of the Upper and Lower bands. A signal is generated only if the expansion velocity exceeds a predefined Pips threshold (bwGrow_px) specifically tuned for the current session $S_i$.
Layer 2: Morphological Rejection Filtering (Wick Analysis)
To filter out "Mean Reversion Traps" (False Breakouts), the script analyzes the morphology of the signal candle using a Wick-to-Body Ratio test.
・The Trap: A candle that breaks the band but closes with a long rejection wick indicates exhausted momentum.
・The Filter: Let $R_{wb} = \text{Body} / \text{RejectionWick}$. If $R_{wb} < \text{Threshold}_{Si}$,, the signal is suppressed.This mathematical filter prevents the user from entering trades where the market sentiment has already reversed within the candle's duration.Layer
3: The "Scramble" State (Momentum Continuity)
The script introduces a unique state machine called "Scramble."
・Purpose: To detect re-entry opportunities during a high-momentum trend.
・Mechanism: If the market enters an "Endure" state (a pause in expansion) but validates specific continuity conditions (price remains within the $2\sigma$ corridor without violating the trend vector), the algorithm flags a "Scramble" signal. This effectively distinguishes between a "Trend Reversal" and a "Trend Pause."
4. Operational Features & Visual Guide
This tool is designed to serve as a rigorous "Filter" for manual trading.
・The "Mushy" Zone: Visualized by a gray fill between bands. This represents a low-kurtosis, mean-reverting market state where trend-following strategies are statistically disadvantageous. The algorithm disables all signals in this zone.
・Secure & Breakeven Visualization: The script projects potential exit points based on Maximum Favorable Excursion (MFE) logic calculated from the entry bar's synthetic price. This assists the user in objective trade management.
・Hard-Coded Optimization: Users will notice that many parameters are locked or preset. This is intentional. These values are derived from extensive backtesting on EURUSD and JPY pairs and serve as the "Control" variables for this research.
5. Conclusion
The Band Walk Detector TENKYO is a comprehensive logical framework that integrates time, volatility, and morphology. It denies the simplistic "one-size-fits-all" approach of standard indicators in favor of a granular, session-adaptive model. It provides the trader with a computationally verified "Go/No-Go" signal, bridging the gap between human intuition and algorithmic precision.
Smart TrendSmart Trend — TradingView Indicator Documentation
© 2026 Arup Sarkar
Indicator Name: Smart Trend
Version: 1.0
What It Does
Smart Trend is a trend detection and momentum analysis indicator for TradingView. It identifies high-probability trend flips, strong momentum moves, volatility expansions, and short-term counter-trend signals.
It combines:
- Current timeframe trend lines (EMA + SMA)
- Higher timeframe EMA context (1H + 4H + Daily)
- ATR-based dynamic exits
- Volume confirmation
Smart Trend is designed to:
- Detect trend changes early
- Confirm momentum strength
- Highlight weakening trends before reversals
- Keep charts clean and actionable
How It Works
1. Trend Detection: Trend Line (EMA21 + SMA50): represents current trend direction
2. Higher Timeframe EMA (HTF EMA 1H): confirms alignment
Trend Conditions:
- Uptrend: candle closes above trend line and HTF EMA
- Downtrend: candle closes below trend line and HTF EMA
- Choppy / Flat: neither uptrend nor downtrend
2. Momentum Strength
- Calculated using slope of trend line EMA
- Candle colors indicate momentum:
* Bullish: green, opacity based on strength
* Bearish: red, opacity based on strength
* Neutral / Choppy: grey
3. Alerts
- Smart Trend sends alerts once per confirmed condition on candle close:
- Uptrend Flip (U) — 2-candle confirmation, trend turns bullish
- Downtrend Flip (D) — 2-candle confirmation, trend turns bearish
- Strong Bullish Momentum — trend up + ATR breakout + volume confirmation
- Strong Bearish Momentum — trend down + ATR breakout + volume confirmation
- Volatility Expansion — ATR rising
- Volatility Expansion After Squeeze — breakout after low-volatility period
- Counter-Trend Up — short-term uptrend vs HTF downtrend
- Counter-Trend Down — short-term downtrend vs HTF uptrend
4. ATR Dynamic Exits
- ATR (Average True Range) over last 50 days is used to calculate dynamic stop levels
- Plots longExit and shortExit levels
- Helps traders manage risk dynamically based on market volatility
5. Visuals
- Trend Line: colored by direction (green/red/gray)
- Smoothed 4H+1D EMA: thin orange line for higher timeframe context
- Labels: “U” for uptrend flips, “D” for downtrend flips
- Counter-trend signals: small triangles above/below bars
- ATR exit lines: semi-transparent for clean chart
Benefits
- Detects trend reversals early
- Confirms strong momentum moves
- Highlights weakening trends using volume and ATR
- Provides dynamic exit levels for risk management
- Keeps chart clean and readable
- Alerts are actionable and trigger once per pattern confirmation
Conclusion
Smart Trend is an all-in-one trend and momentum tool for traders who want:
- Early detection of trend flips
- High-probability momentum signals
- Volatility-aware trade management
- Minimal visual clutter with maximum actionable insights
Smart Trend can be combined with support/resistance levels, higher timeframe analysis, and other indicators to increase confidence and improve trade decisions.
Candle End Tracker
This indicator identifies the exact location where a candlestick formation ends. It allows for more precise tracking of asset trends and also helps monitor price trend reversals. Its purpose is to provide the user with a tool that allows visual monitoring of price action. It was created especially for those who trade using scalping techniques. Its use is enhanced when the candlestick color is removed.






















