Bollinger Bands Delta Matrix Analytics [BDMA] Bollinger Bands Delta Matrix Analytics (BDMA) v7.0
Deep Kinetic Engine – 5x8 Volatility & Delta Decision Matrix
1. Introduction & Concept
Bollinger Bands Delta Matrix Analytics (BDMA) v7.0 is an analytical framework that merges:
- Spatial analysis via Bollinger Bands (%B location),
- with a 4-factor Deep Kinetic Engine based on:
• Total Volume
• Buy Volume
• Sell Volume
• Delta (Buy – Sell) Z-Scores
and converts them into an expanded 5×8 decision matrix that continuously tracks where price is trading and how the underlying orderflow is behaving.
BDMA is not a trading system or strategy. It does not generate entry/exit signals.
Instead, it provides a structured contextual map of volatility, volume, and delta so traders can:
- identify climactic extensions vs. fakeouts,
- distinguish strong initiative moves vs. passive absorption,
- and detect squeezes, traps, and liquidity voids with a unified visual dashboard.
2. Spatial Engine – Bollinger S-States (S1–S5)
The spatial dimension of BDMA comes from classic Bollinger Bands.
Price location is expressed as Percent B (%B) and mapped into 5 spatial states (S-States):
S1 – Hyper Extension (Above Upper Band)
Price has pushed beyond the upper Bollinger Band.
Often associated with parabolic or blow-off behavior, late-stage momentum, and elevated reversal risk.
S2 – Resistance Test (Upper Zone)
Price trades in the upper Bollinger region but remains inside the bands.
Represents a sustained test of resistance, typically within an established or emerging uptrend.
S3 – Neutral Zone (Middle)
Price hovers around the mid-band.
This is the mean reversion gravity field where the market often consolidates or transitions between regimes.
S4 – Support Test (Lower Zone)
Price trades in the lower Bollinger region but inside the bands.
Represents a sustained test of support within range or downtrend structures.
S5 – Hyper Drop (Below Lower Band)
Price extends below the lower Bollinger Band.
Often aligned with panic, forced liquidations, or capitulation-type behavior, with increased snap-back risk.
These 5 S-States define the vertical axis (rows) of the BDMA matrix.
3. Deep Kinetic Engine – 4-Factor Z-Score & D-States (D1–D8)
The Deep Kinetic Engine transforms raw volume and delta into standardized Z-Scores to measure how abnormal current activity is relative to its recent history.
For each bar:
- Raw Buy Volume is estimated from the candle’s position within its range
- Raw Sell Volume is complementary to buy volume
- Raw Delta = Buy Volume – Sell Volume
- Total Volume = Buy Volume + Sell Volume
These 4 series are then normalized using a unified Z-Score lookback to produce:
1. Z_Vol_Total – overall activity and liquidity intensity
2. Z_Vol_Buy – aggression from buyers (attack)
3. Z_Vol_Sell – aggression from sellers (defense or attack)
4. Z_Delta – net victory of one side over the other
Thresholds for Extreme, Significant, and Neutral Z-Score levels are fully configurable, allowing you to tune the sensitivity of the kinetic states.
Using Z_Vol_Total and Z_Delta (plus threshold logic), BDMA assigns one of 8 Deep Kinetic states (D-States):
D1 – Climax Buy
Extreme Total Volume + Extreme Positive Delta → Buying climax or blow-off behavior.
D2 – Strong Buy
High Volume + High Positive Delta → Confirmed bullish initiative activity.
D3 – Weak Buy / Fakeout
Low Volume + High Positive Delta → Bullish delta without commitment, low-liquidity breakout risk.
D4 – Absorption / Conflict
High Volume + Neutral Delta → Aggressive two-way trade, strong absorption, war zone behavior.
D5 – Neutral
Low Volume + Neutral Delta → Low-energy environment with low conviction.
D6 – Weak Sell / Fakeout
Low Volume + High Negative Delta → Bearish delta without commitment, low-liquidity breakdown risk.
D7 – Strong Sell
High Volume + High Negative Delta → Confirmed bearish initiative activity.
D8 – Capitulation
Extreme Volume + Extreme Negative Delta → Panic selling or capitulation regime.
These 8 D-States define the horizontal axis (columns) of the BDMA matrix.
4. The 5×8 BDMA Decision Matrix
The core of BDMA is a 5×8 matrix where:
- Rows (1–5) = Spatial S-States (S1…S5)
- Columns (1–8) = Kinetic D-States (D1…D8)
Each of the 40 possible combinations (SxDy) is pre-computed and mapped to:
- a Status or Regime Title (for example: Climax Breakout, Bear Trap Spring, Capitulation Breakdown),
- a Bias (Climactic Bull, Neutral, Strong Bear, Conflict or Reversal Risk, and similar labels),
- and a Strategic Signal or Consideration (for example: High reversal risk, Wait for confirmation, Low probability zone – avoid).
Internally, BDMA resolves all 40 regimes so the current state can be displayed on the dashboard without performance overhead.
5. Key Regime Families (How to Read the Matrix)
5.1. Breakouts and Breakdowns
Climax Breakout (Top-side)
Spatial S1 with Kinetic D1 or D2
Bias: Explosive or Extreme Bull
Signal:
- Strong or climactic upside extension with abnormal bullish orderflow.
- Trend continuation is possible, but reversal risk is extremely high after blow-off phases.
Low-Conviction Breakout (Fakeout Risk)
S1 with D3 (Weak Buy, low liquidity)
Bias: Weak Bull – Caution
Signal:
- Breakout not supported by volume.
- Elevated risk of failed auction or bull trap.
Capitulation Breakdown (Bottom-side)
Spatial S5 with Kinetic D8
Bias: Climactic Bear (panic)
Signal:
- Capitulation-type selling or forced liquidations.
- Trend can still proceed, but snap-back or violent short-covering risk is high.
Initiative Breakdown vs. Weak Breakdown
- Strong, high-volume breakdown typically corresponds to D7 (Strong Sell).
- Low-volume breakdown often corresponds to D6 (Weak Sell or Fakeout) with potential for failure.
5.2. Absorption, Traps and Springs
Absorption at Resistance (Top-side conflict)
S1 or S2 with D4 (Absorption or Conflict)
Bias: Conflict – Extreme Tension
Signal:
- Heavy two-way trade near resistance.
- Potential distribution or reversal if sellers begin to dominate.
Bull Trap or Failed Auction
Typically S1 with D6 (Weak Sell breakdown behavior after a top-side attempt)
Indicates a breakout attempt that fails and reverses, often after poor liquidity structure.
Absorption at Support and Bear Trap (Spring)
S4 or S5 with D4 or D3
Bias: Conflict or Weak Bear – Reversal Risk
Signal:
- Aggressive buying into lows (spring or shakeout behavior).
- Potential bear trap if price reclaims lost territory.
5.3. Trend Phases
Strong Uptrend Phases
Typically seen when S2–S3 combine with strong bullish kinetic behavior.
Bias: Strong or Extreme Bull
Signal:
- Pullbacks into S3 or S4 with supportive kinetic states often act as trend continuation zones.
Strong Downtrend Phases
Typically seen when S3–S4 combine with strong bearish kinetic behavior.
Bias: Strong or Extreme Bear
Signal:
- Rallies into resistance with strong bearish kinetic backing may act as continuation sell zones.
5.4. Neutral, Exhaustion and Squeeze
Exhaustion or Liquidity Void
S1 or S5 with D5 (Neutral kinetics)
Bias: Neutral or Exhaustion
Signal:
- Spatial extremes without kinetic confirmation.
- Often marks the end of a move, with poor follow-through.
Choppy, Low-Activity Range
S3 with D5
Bias: Neutral
Signal:
- Low volume, low conviction market.
- Typically a low-probability environment where standing aside can be logical.
Squeeze or High-Tension Zone
S3 with D4 or tightly clustered kinetic values
Bias: Conflict or High Tension
Signal:
- Hidden battle inside a volatility contraction.
- Often precedes large directionally-biased moves.
6. Dashboard Layout & Reading Guide
When Show Dashboard is enabled, BDMA displays:
1. Title and Status Line
Name of the current regime (for example: Climax Breakout, Bear Trap Spring, Mean Reversion).
2. Bias Line
Plain-language summary of directional context such as Climactic Bull, Strong Bear, Neutral, or Conflict and Reversal Risk.
3. Signal or Strategic Notes
Concise guidance focused on risk and context, not entries. For example:
- High reversal risk – aggressive traders only
- Wait for confirmation (break or rejection)
- Low probability zone – avoid taking new positions
4. Kinetic Profile (4-Factor Z-Score)
Shows the current Z-Scores for Total Volume (Activity), Buy Volume (Attack), Sell Volume (Defense), and Delta (Net Result).
5. Matrix Heatmap (5×8)
Visual representation of S-State vs. D-State with color coding:
- Bullish clusters in a green spectrum
- Bearish clusters in a red spectrum
- Conflict or exhaustion zones in yellow, amber, or neutral tones
The dashboard can be repositioned (top right, middle right, or bottom right) and its size can be adjusted (Tiny, Small, Normal, or Large) to fit different layouts.
7. Inputs & Customization
7.1. Core Parameters (Bollinger and Z-Score)
- Bollinger Length and Standard Deviation define the spatial engine.
- Z-Score Lookback (All Factors) defines how many bars are used to normalize volume and delta.
7.2. Deep Kinetic Thresholds
- Extreme Threshold defines what is considered climactic (D1 or D8).
- Significant Threshold distinguishes strong initiative vs. weak or fakeout behavior.
- Neutral Threshold is the band within which delta is treated as neutral.
These thresholds allow you to tune the sensitivity of the kinetic classification to fit different timeframes or instruments.
7.3. Calculation Method (Volume Delta)
Geometry (Approx)
- Fast, non-repainting approach based on candle geometry.
- Suitable for most users and real-time decision-making.
Intrabar (Precise)
- Uses lower-timeframe data for more precise volume delta estimation.
- Intrabar mode can repaint and requires compatible data and plan support on the platform.
- Best used for post-analysis or research, not blind automation.
7.4. Visuals and Interface
- Toggle Bollinger Bands visibility on or off.
- Switch between Dark and Light color themes.
- Configure dashboard visibility, matrix heatmap display, position, and size.
8. Multi-Language Semantic Engine (Asia and Middle East Focus)
BDMA v7.0 includes a fully integrated multi-language layer, targeting a wide geographic user base.
Supported Languages:
English, Türkçe, Русский, 简体中文, हिन्दी, العربية, فارسی, עברית
All dashboard labels, regime titles, bias descriptions, and signal texts are dynamically translated via an internal dictionary, while semantic meaning is kept consistent across languages.
This makes BDMA suitable for multi-language communities, study groups, and educational content across different regions.
However, due to the heavy computational load of the Deep Kinetic Engine and TradingView’s strict Pine Script execution limits, it was not possible to expand support to additional languages. Adding more translation layers would significantly increase memory usage and exceed runtime constraints. For this reason, the current language set represents the maximum optimized configuration achievable without compromising performance or stability.
9. Practical Usage Notes
BDMA is most powerful when used as a contextual overlay on top of market structure (HH, HL, LH, LL), higher-timeframe trend, key levels, and your own execution framework.
Recommended usage:
- Identify the current regime (Status and Bias).
- Check whether price location (S-State) and kinetic behavior (D-State) agree with your trade idea.
- Be especially cautious in climactic and absorption or conflict zones, where volatility and risk can be elevated.
Avoid treating BDMA as an automatic green equals buy, red equals sell tool.
The real edge comes from understanding where you are in the volatility or kinetic spectrum, not from forcing signals out of the matrix.
10. Limitations & Important Warnings
BDMA does not predict the future.
It organizes current and recent data into a structured context.
Volume data quality depends on the underlying symbol, exchange, and broker feed.
Forex, crypto, indices, and stocks may all behave differently.
Intrabar mode can repaint and is sensitive to lower-timeframe data availability and your plan type.
Use it with extra caution and primarily for research.
No indicator can remove the need for clear trading rules, disciplined risk management, and psychological control.
11. Disclaimer
This script is provided strictly for educational and analytical purposes.
It is not a trading system, signal service, financial product, or investment advice.
Nothing in this indicator or its description should be interpreted as a recommendation to buy or sell any asset.
Past behavior of any indicator or market pattern does not guarantee future results.
Trading and investing involve significant risk, including the risk of losing more than your initial capital in leveraged products.
You are solely responsible for your own decisions, risk management, and results.
By using this script, you acknowledge that you understand these risks and agree that the author or authors and publisher or publishers are not liable for any loss or damage arising from its use.
Bands and Channels
JFX Smart ORBJFX Smart ORB is a complete visual trading framework built around the classic
Opening Range Breakout (ORB) concept, enhanced with:
Fixed position sizing (lots)
Automatic Martingale-style size increase after full SL only
A full, event-based alert system for entries, targets, stops, and break-even exits
All of that, plus a clean dual-language HUD (AR/EN) directly on your chart.
What JFX Smart ORB Does
🔹 Smart Opening Range (ORB)
Automatically defines the opening range via:
Fixed timeframe (e.g., 30 minutes), or
Custom session window (e.g., 09:30–09:45) with configurable time zone (UTC-5, etc.).
Plots ORH / ORL and the midline, and shades the OR building zone for visual clarity.
🔹 Regime Detection (Context)
Background shading tells you where price is trading:
📈 Green: Above ORH (bullish regime)
📉 Red: Below ORL (bearish regime)
🔵 Neutral: Inside the OR range
This gives you an instant read on context before you even think about entries.
🔹 Trade Logic & Multi-Target Management
Automatic entry when:
Price breaks ORH for long trades
Price breaks ORL for short trades
Stop loss on the opposite side of the range.
Targets calculated in R-multiples:
TP1 = 0.5R
TP2 = 1R
TP3 = 2R
Position is split across TP1 / TP2 / TP3 according to user-defined percentages, normalized automatically.
💰 Fixed Size + Martingale After Loss Only
Inputs:
Capital ($) – for display/analysis
Base Position Size (lots) – your standard trade size
Contract per 1.00 lot – to convert price movement to P/L in dollars
If a trade hits a full stop loss before TP1, the indicator:
Doubles the position size for the next trade (Martingale factor).
If the trade hits any profit (TP1, TP2, TP3) or closes at Break-Even, the:
Martingale factor resets back to 1× (base size).
Everything is tracked and shown on the chart: current trade size, P/L per trade, and net P/L.
🧠 Session Protection & Inner-Range Logic
Optional session block:
After a strong winning trade (e.g., TP2 or TP3), you can block any further trades for the rest of the ORB session to avoid overtrading.
Inner-range logic after TP1:
Prevents immediate re-entry in the same direction after a BE exit from TP1.
Waits for price to return into a defined inner range around the OR midline, filtering out random noise.
📊 On-Chart HUD / Stats (AR & EN)
The built-in info panel shows in real time:
Session status:
✅ Trading enabled
🚫 Trading disabled until a new ORB
⏳ Waiting for two bars back inside the range
Current price regime (Above ORH / Below ORL / Inside OR).
Entry price, stop loss, TP1, TP2.
Total trades, losing trades, and win rate.
Counts of TP1 / TP2 / TP3 hits.
Reported capital, current position size (lots).
Current trade P/L and total net P/L in dollars.
🔔 Full Alert System (Ready for Webhooks/Bots)
The indicator generates per-bar event flags that feed into alertcondition() so you can build any alert setup you want (pop-up, email, SMS, webhook, bot, EA, etc.).
Available alerts:
Buy Entry: JFX_ORB_BUY_ENTRY
Sell Entry: JFX_ORB_SELL_ENTRY
Stop Loss Hit: JFX_ORB_SL_HIT
TP1 Hit: JFX_ORB_TP1
TP2 Hit: JFX_ORB_TP2
TP3 Hit: JFX_ORB_TP3
Break-Even Exit: JFX_ORB_BE_EXIT
Simply create alerts in TradingView based on these conditions and messages, or plug them into your automation via webhooks.
Who Is JFX Smart ORB For?
Day traders and scalpers who like structured ORB strategies instead of random entries.
Traders who want clear, rule-based entries, well-defined stops and multi-target exits.
Anyone looking to combine ORB + position management + Martingale logic + Alerts in a single, professional tool.
Disclaimer:
This indicator is a professional analysis and trade-management tool, not a guarantee of profit.
Always test on demo first and adapt the position sizing and Martingale behavior to your own risk management and trading plan.
PyTai Top/Bottom Finder v0.1When the average StochRSI line rises high (near or above 80), it often signals the asset's price is approaching the peak or end of an uptrend, as momentum becomes overextended across multiple timeframes—aligning with your view on run endings. Conversely, a low average (near or below 20) suggests exhaustion in a downtrend, hinting at potential bottoms. The cluster columns amplify this: wide green bars (high positive netScore) show broad oversold agreement for bullish reversals, while red bars indicate overbought consensus for bearish turns. However, StochRSI can remain extreme in strong trends, so combine with price action or volume to avoid false signals; backtest on your assets to refine thresholds, as shorter smoothing (e.g., 1-3) increases sensitivity but noise.
channel no warnings - Indicators w/EMA CloudEMA cloud showing up and down trend for any stock and any time interval
Trend Follow Line Point📌 Trend Follow Line Point
The Trend Follow Line Point indicator removes the confusing, repainting-based swing connections commonly found in traditional swing tools.
It maintains consistent swing-point calculation, keeps structural swing lines intact even when trend lines are broken, and integrates market structure + trend + volatility + volume into one intuitive, visual indicator.
This tool is designed for:
Trend Following
Swing Structure Analysis
Volatility-Based Entry & Exit
Market Strength Evaluation
📊 Component Explanation
🔹 1. Swing High / Swing Low Detection
Based on the user-defined sensitivity (swgLen):
A Swing High forms when the current high exceeds the previous swgLen highs.
A Swing Low forms when the current low falls below the previous swgLen lows.
🔹 2. Swing-Based Structure Lines
Connect Swing Highs → Structural visualization
Connect Swing Lows → Structural visualization
These lines reveal the underlying market structure without repainting or disappearing unexpectedly.
🔹 3. Dynamic ATR + Volume Weighting
ATR values combined with the volume ratio (vol / volMA) create a dynamic volatility channel that reflects real-time market pressure.
🔹 4. Enhanced SuperTrend Calculation
Uses ATR-based stability to produce more realistic and smoother trend lines, reducing noise and improving signal clarity.
🔹 5. Trend Color Mapping
Up Trend → User-selected color
Down Trend → User-selected color
Visual trend direction and strength can be identified immediately.
🧭 How to Use
When Swing Highs/Lows are detected, structure lines are automatically drawn between previous swings.
Use these lines to evaluate support/resistance breaks and overall structural direction.
Manage risk with volatility guidance:
Higher ATR (volume-weighted) → wider trend spacing → increased risk
Lower ATR → tighter spacing → reduced risk
This helps with position sizing, entry timing, and exit decisions.
+
NQ Daily Volatility BandsThis is the fixed version, the last script had some new bug, don't know what happened. But you're gonna pay for this one if you want it still, don't know why i gave it out for free. Or you can continue to use the previous version with the bug, you just have to refresh every time there is a new 1min candle.
add me on discord. Lebonbony - if you want this fixed version, for $$$, and also an explanation of how to use it.
Plots standard deviation levels off of market open, based upon the previous day's 1m average standard deviation (volatility). The levels can be used to help provide a structure to your trading, and can be especially used as reversal levels. Good for futures trading, I personally use for NQ.
Below is an image shown of it working. It updates each day at 9:31am NY session.
Sigma-X Algo [Main] - SMC & Volume Heatmap
**简介 / Short Description:**
A professional institutional trading system combining Statistical Mean Reversion (Sigma), Smart Money Concepts (SMC), and Volume Analysis. Designed for XAUUSD and BTC M5 scalping.
一套结合了统计学均值回归、SMC机构订单流以及量能热力图的专业交易系统。专为黄金(XAUUSD)和比特币(BTC)的M5短线交易设计。
**详细描述 / Description:**
---
### ** 中文说明**
**Sigma-X Algo** 是一套为高波动市场(如黄金、比特币)量身定制的狙击型交易系统。它不预测行情,而是通过捕捉价格的**“统计学极值”**与**“机构订单痕迹”**,寻找高胜率的反转机会。
#### **核心功能 (Core Features)**
1. **📊 统计学均值回归 (Sigma Extremes):**
* 基于 **TRIMA** 算法计算价格偏离度。
* 当价格触及 **3.0σ** 极值时,图表会出现 **钻石信号**。
* **S+ (彩色钻石):** 顺势极值,胜率加成。
* **Risk (灰色钻石):** 逆势极值,提示风险。
2. **🏛️ 多周期 SMC 订单块 (MTF Order Blocks):**
* **4H OB (绿色/橙色):** 大级别“城墙”,也是核心反转区。
* **1H OB (蓝色/红色):** 短线“战术掩体”,用于日内观察。
* **逻辑:** 采用“穿透即删除”逻辑,只保留未被截取 (Unmitigated) 的有效结构。
3. **🔥 量能热力图 (Volume Heatmap):**
* 通过 K 线染色识别主力行为。
* **亮紫色/亮黄色 K 线:** 代表成交量超过平均值的 **2.0倍**。这是机构入场护盘或出货的关键信号。
4. **🌊 趋势过滤器 (Trend Filter):**
* 内置 **EMA 50/144** 斐波那契均线组,自动判定当前是顺势还是逆势。
#### **实战策略 (How to Trade)**
* **做多狙击 (Long Setup):**
1. 价格回踩 **4H 看涨 OB (绿色框)**。
2. 主图出现 **绿色 S+ 钻石** 信号。
3. **K 线变色 (亮紫)**,确认主力爆量承接。
* **做空狙击 (Short Setup):**
1. 价格反抽 **4H 看跌 OB (橙色框)**。
2. 主图出现 **红色 S+ 钻石** 信号。
3. **K 线变色 (亮黄)**,确认主力出货。
---
### ** English Description**
**Sigma-X Algo** is a sniper-style trading system tailored for high-volatility assets like Gold (XAUUSD) and Bitcoin (BTC). Instead of predicting, it identifies high-probability reversals by combining **Statistical Extremes** with **Institutional Footprints**.
#### **Key Features**
1. **📊 Statistical Mean Reversion (Sigma Extremes):**
* Calculates price deviation based on the **TRIMA** algorithm.
* **Diamond Signals** appear when price hits the **3.0σ** extreme.
* **S+ (Colored Diamond):** Trend-following signals (High Probability).
* **Risk (Gray Diamond):** Counter-trend signals (Caution required).
2. **🏛️ MTF Smart Money Concepts (SMC):**
* **4H Order Blocks (Green/Orange):** The "HTF Wall". Primary reversal zones.
* **1H Order Blocks (Blue/Red):** Intraday tactical zones.
* **Logic:** Uses "Delete on Break" logic to keep the chart clean, showing only unmitigated zones.
3. **🔥 Volume Heatmap:**
* Highlights institutional activity by coloring candles.
* **Bright Purple/Yellow Candles:** Indicate volume is **2.0x** greater than average. This confirms "Stopping Volume" or "Climax" behavior.
4. **🌊 Trend Filter:**
* Built-in **EMA 50/144** Fibonacci ribbon to filter noise and identify the dominant trend.
#### **Trading Strategy**
* **Long Setup:**
1. Price dips into a **4H Bullish OB (Green Box)**.
2. A **Green S+ Diamond** appears.
3. **Highlighter Candle (Purple)** appears, confirming institutional absorption.
* **Short Setup:**
1. Price rallies into a **4H Bearish OB (Orange Box)**.
2. A **Red S+ Diamond** appears.
3. **Highlighter Candle (Yellow)** appears, confirming institutional distribution.
---
**Disclaimer:**
Trading involves high risk. This indicator is a tool for analysis, not financial advice. Always use stop losses.
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# 2. 副图指标说明书 (Sub Indicator)
**标题 / Title:**
**Sigma-X Algo - Divergence & Momentum**
**简介 / Short Description:**
The companion oscillator for the Sigma-X system. Features absolute momentum (TRIMA), structural trend filtering, and automatic divergence detection.
Sigma-X 系统的配套副图指标。包含绝对动能算法、趋势结构过滤以及自动背离检测功能。
**详细描述 / Description:**
---
### ** 中文说明**
这是 **Sigma-X Algo** 系统的专用副图震荡指标,用于辅助主图进行动能确认和背离识别。
#### **核心功能**
1. **动能柱 (Momentum Histogram):**
* 基于价格与 TRIMA 均线的偏离度绘制。
* **实心柱:** 动能增强。
* **空心/浅色柱:** 动能衰竭(这是进场的重要参考)。
2. **👀 自动背离检测 (Auto Divergence):**
* 自动识别价格与动能之间的 **底背离 (Bullish)** 和 **顶背离 (Bearish)**。
* **绿线:** 底背离,提示潜在上涨。
* **红线:** 顶背离,提示潜在下跌。
3. **🦅 鹰眼预警 (Warning Zones):**
* 当动能突破 **1.8σ** 警戒线时,背景会变色,提示即将进入变盘区。
#### **如何配合主图使用**
当主图出现 **S+ 信号** 时,观察副图:
* 如果副图同时出现 **绿线 (底背离)**,胜率极高。
* 如果副图动能柱颜色变浅 (衰竭),确认反转即将发生。
---
### ** English Description**
This is the companion oscillator for the **Sigma-X Algo** system, designed to confirm momentum and identify divergences.
#### **Key Features**
1. **Momentum Histogram:**
* Calculated based on the deviation between Price and TRIMA.
* **Solid Colors:** Momentum is increasing.
* **Pale Colors:** Momentum is exhausting (A key trigger for entry).
2. **👀 Auto Divergence Detection:**
* Automatically plots **Regular Bullish (Green Line)** and **Regular Bearish (Red Line)** divergences between Price and Oscillator.
3. **🦅 Warning Zones:**
* Background changes color when momentum breaches the **1.8σ** warning threshold, signaling potential volatility.
#### **How to Use with Main Chart**
When a **S+ Signal** appears on the Main Chart:
* Look for a **Green Line (Bullish Divergence)** on this oscillator for high-probability confirmation.
* Wait for the histogram bars to fade (exhaustion) before pulling the trigger.
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Price Band LevelsThis indicator allows you to specify a base price. Once set, it automatically draws three price bands above the base and three bands below it, giving you a structured visual range around the selected level.
Trendline Breaks + Supertrend [Delta BTC-P]Trendline Breaks + Supertrend in same direct Best on 5 min
Traders edge indicator1Trend Confirmation: The primary trend is determined by the alignment of the long-term EMAs (e.g., 100 and 200). The trade direction should align with this overall trend.
Entry/Exit Signals: Shorter EMAs (e.g., 9 or 20) are used for high-probability entry points. Pullbacks to these faster EMAs within the context of a strong trend are common entry signals.
Dynamic Support and Resistance: The various EMAs and the VWAP line often act as magnetic levels where price tends to pause, reverse, or consolidate.
VWAP as Mean Reversion Target: In a volatile market, if the price moves significantly away from the VWAP, it may be considered "overextended," and a mean-reversion move back towards the VWAP is often anticipated.
Traders edge indicator1Trend Confirmation: The primary trend is determined by the alignment of the long-term EMAs (e.g., 100 and 200). The trade direction should align with this overall trend.
Entry/Exit Signals: Shorter EMAs (e.g., 9 or 20) are used for high-probability entry points. Pullbacks to these faster EMAs within the context of a strong trend are common entry signals.
Dynamic Support and Resistance: The various EMAs and the VWAP line often act as magnetic levels where price tends to pause, reverse, or consolidate.
VWAP as Mean Reversion Target: In a volatile market, if the price moves significantly away from the VWAP, it may be considered "overextended," and a mean-reversion move back towards the VWAP is often anticipated.
Rawa_Trade_System_Vol_AdxThe strategy must be configured for each instrument separately; the basic configuration uses a trailing stop, a 4H timeframe, and excludes margin trading.
Humontre - One signal - One direction - No noiseClean trend-following band
Delivers one high-conviction entry per trend change
Zero repaint · Minimal lag
Best performance observed on 4H and higher timeframes
Works on all markets (crypto · forex · indices)
Use at own risk.
Focus On Work time (Tehran)If you only want to analyze the market during specific working hours and ignore the rest, this indicator is for you. It lets you hide or highlight non-working times on your chart, so you can focus only on the sessions that matter to you.
Just set your start time and end time for the work session.
By default, the time is set to UTC+3:30 (Tehran time), but you can change it to any timezone you like.
Elliott Wave Multi-Level (Micro/Main)**Title Suggestion:**
Elliott Wave Multi-Level Strategy (Micro/Main)
**Short Description (for TradingView):**
This strategy detects Elliott Waves on two levels — **Micro** (short-term swings) and **Main** (higher-level structures) — and uses them for fully automated long and short trading.
Main Impulse waves (1–5) and ABC corrections are identified using pivot logic, ATR-based movement filters, volume confirmation, and an optional EMA trend filter. Micro Impulse waves serve as confirmation for Main structures, creating a multi-level validation system that significantly reduces false signals.
Entries are taken either:
* **with the trend**, after confirmed Main Impulse waves, or
* optionally as **reversal trades** at the completion of ABC corrections.
Stop-loss and take-profit levels are dynamically calculated using ATR multipliers, allowing the strategy to adapt to different volatility environments. All parameters (pivots, filters, confirmations, risk settings) are fully customizable to fit various markets and timeframes (e.g., 1m–15m).
--0-- Base Estrategias 4.0Universal Strategy Builder is an advanced multi-purpose trading engine designed for traders who want to build, test, and automate complete systems without writing Pine Script.
This tool combines multiple entry logics, dynamic filters, risk-management modules, and configurable exit conditions into a single framework.
It is not a “signal indicator.”
It is an infrastructure layer for creating strategies on any market and timeframe.
Key Features
• Entry Modules
Moving Average Cross
RSI-based setups
MACD setups
Chandelier Exit logic
Custom filters for trend, momentum and volatility
Multi-filter stacking (MA, RSI, MACD, AO, custom conditions)
• Risk Management
Percentage-based Stop Loss
ATR-based Stop Loss
Swing High/Low stop logic
Candle-based cancellation rules
Close-on-reversal option
• Take Profit System
Multiple TP levels
Percentage or ATR-derived targets
Multi-stage position scaling
Optional trailing stop with custom activation and distance
• Full MA Suite
6 independent moving averages
EMA/SMA/WMA/RMA
Flexible period and source selection
• Oscillator Suite
RSI (with OB/OS triggers and cross filters)
MACD with adjustable smoothing
Awesome Oscillator
Multi-timeframe filter options
• Bot-Ready
Designed to work seamlessly with:
Webhooks
External automation platforms
Copy-trading engines
Strategy replicators
Who Is This For?
This tool is intended for traders who want to:
Develop systematic strategies
Optimize entry/exit conditions
Combine multiple confirmation layers
Backtest ideas without coding
Build bot-ready setups quickly and consistently
Important Notes
This is a professional toolkit.
It does not predict the market or guarantee profitable results.
Performance depends entirely on how the user configures the system, market conditions, risk parameters, and execution quality.
Access
This script is provided as invite-only.
Please contact the author if you would like to request access.
Harami Reversal Alerts BB Touch (Strict First Candle)Harami Reversal Alerts BB Touch (Strict First Candle)
Harami Reversal Alerts BB Touch (Strict First Candle)Harami Reversal Alerts BB Touch (Strict First Candle)Harami Reversal Alerts BB Touch (Strict First Candle)Harami Reversal Alerts BB Touch (Strict First Candle)Harami Reversal Alerts BB Touch (Strict First Candle)
TMT Session - HiteshNimje TMT Session - HiteshNimje
Overview
This indicator highlights four configurable trading sessions (default: New York / London / Tokyo / Sydney) and draws session ranges, session VWAPs, session mean/trendline, max/min lines and optional dashboard info. It was built for students of Thought Magic Trading (TMT) to quickly visualize intraday structure across major sessions.
Key features
4 separate sessions (A/B/C/D) — customizable names, times and colors.
Session Range boxes (high/low), optional outline and labels.
VWAP per session (volume-weighted average price).
Mean / Trendline for session price (optional).
Optional session Max/Min lines.
Small on-chart descriptive labels explaining what each plotted line means.
Simple dashboard showing session status (Active/Inactive), volume, trend strength and standard deviation (optional).
Timezone offset or use exchange timezone.
Default colors
Session A — Blue
Session B — Black
Session C — Red
Session D — Orange
Usage / Notes
Designed for intraday analysis — works best on intraday timeframes.
Toggle any session, overlay, or label via input settings to reduce chart clutter.
Labels and dashboard are optional; enable them only when you want the additional on-chart information.
The indicator does not provide buy/sell signals. Use it as a structural reference in conjunction with your trading plan.
Access & License
EXCLUSIVE ACCESS: This indicator is for TMT students only.
Distribution: Invite-only (author permission required) — the author will grant access by invitation.
Redistribution, modification, or public reposting without permission is prohibited.
Support / Contact
For access requests or issues, contact the author: Hitesh_Nimje (Thought Magic Trading).
(Provide invite requests directly to the author — do not attempt to share copies.)
Disclaimer
For educational purposes only. Trading involves risk. Past performance is not indicative of future results. The author is not responsible for trading losses.
Physics of PricePhysics of Price is a non-repainting kinematic reversal and volatility overlay. It models price as a physical object with position, velocity, and acceleration, then builds adaptive bands and a short-term predictive “ghost cone” to highlight where reversals are statistically more likely.
CONCEPT
Instead of using only moving averages, the core engine tracks a smoothed price (position), trend speed (velocity), and change in trend speed (acceleration). Standard deviation of the model error defines probabilistic bands around this kinematic centerline. When price stretches too far away and snaps back, the move is treated as a potential exhaustion event.
CORE COMPONENTS
– Kinematic centerline (Alpha–Beta–Gamma style filter) that bends with trend instead of lagging like a simple MA.
– Inner and outer bands based on the standard deviation of residuals between price and the kinematic model.
– Regime filter using R² and band width to avoid signals in chaotic or ultra-wide regimes.
– Optional RSI “hook” filter that waits for momentum to actually turn instead of buying into a falling RSI.
– Optional divergence add-on using kinematic velocity, so a marginal new price extreme with weaker velocity is recognized as a possible exhaustion pattern.
REVERSAL EVENTS AND SCORING
Raw events are detected when price wicks through the outer band and closes back inside (band hit with snap). These are plotted as diamonds and treated as candidates, not automatic trades.
Each event is then scored from 0 to 100 using several factors:
– How far price overshot the outer band.
– How strongly it snapped back inside.
– Whether an RSI hook is present (if enabled).
– Regime quality from the kinematic model.
– Basic kinematic safety to avoid the most aggressive “knife-catch” situations.
– Optional divergence bonus when price makes a new extreme but velocity does not.
Only events with a score above the chosen threshold become confirmed signals (triangles labeled PHYSICS REV).
GHOST CONE (PREDICTIVE BAND)
On the latest bar, the script projects a short-horizon “ghost cone” into the future using position, velocity, and a damped acceleration term. This creates a curved predictive band that visualizes a plausible short-term path and range, rather than a simple straight line. The cone is meant as context for trade management and risk, not as a hard target.
FILTERS AND OPTIONS
– Regime filter (R² and band width) can be tightened or relaxed depending on how selective you want the engine to be.
– RSI and volume filters can be toggled on for extra confirmation or off to see the raw kinematic behavior.
– An optional trend baseline (EMA) can be enabled to bias or restrict reversals relative to a higher-timeframe trend.
– Dynamic cooldown scales with volatility so the script does not spam signals in fast environments.
HOW TO USE
Physics of Price is primarily a mean-reversion and exhaustion tool. It works best in markets that respect ranges, swings, and two-sided order flow. Confirmed PHYSICS REV signals near the outer bands, with decent model health and a clean RSI hook, are the core use case. The bands and ghost cone can also be used as a context overlay alongside your own entries, exits, and risk framework.
This is an indicator, not a complete trading system. It does not use lookahead or higher-timeframe security calls and is designed for “once per bar close” alerts. Always combine it with your own risk management and confluence.
DynamicQuant Lite Strategy v1.1.1🚀 DynamicQuant Pro - Adaptive Channel-Based Trading Strategy
📊 Strategy Overview
DynamicQuant Pro is an adaptive trading strategy based on price channel breakouts. It offers both trend-following and mean-reversion modes to adapt to various market conditions.
⚡ Core Features
🎯 Entry System
- Channel Breakout Based: Uses upper/lower band breakouts as entry signals
- Multi-Layer Filtering: Triple-filter system combining volume, momentum, and volatility indicators to eliminate false signals
- Smart Entry Control: Entry restriction zones and minimum bar spacing to prevent excessive positions
- Multi-Stage Position Building: Up to 5-stage scaling to optimize average entry price
🔄 Exit System (4 Modes)
- Band Mode: Exit based on channel centerline
- Split Mode: Individual exit per entry price
- Trailing Mode: Dynamic trailing exit
- Position Mode: Unified exit based on average price
🛡️ Risk Management
- Advanced Stop Loss: Intelligent exit system with recovery failure detection and time-based stops
- Multi-Level Take Profit: Flexible exit strategies including weighted partial exits and ladder profits
- Profit Protection: Safety mechanism preventing exits at loss levels
- Leverage-Based Margin Management: Margin calculation matching real exchange systems
✨ Key Strengths
⚡ Real-Time Exits: Tick-by-tick monitoring for immediate exits when targets are reached (no waiting for bar close)
📈 Detailed Visualization: Real-time PnL, entry prices, targets, stops - all displayed on chart
📊 Backtest Performance Table: Detailed statistics including win rate, profit factor, Long/Short performance
🎛️ Flexible Configuration: 30+ parameters to customize to your trading style
👥 Ideal For
✅ Traders seeking systematic risk management
✅ Traders looking for adaptable strategies across market conditions
✅ Traders preferring backtest-based strategy optimization
✅ Traders interested in scaling entry/exit strategies
⚠️ Disclaimer
This strategy is for educational and informational purposes only. Past performance does not guarantee future results. Trading involves substantial risk of loss. Always conduct your own research and risk assessment before trading with real capital.






















