Ben's BTC Macro Fair Value OscillatorBen's BTC Macro Fair Value Oscillator
Overview
The **BTC Macro Fair Value Oscillator** is a non-crypto fair value framework that uses macro asset relationships (equities, dollar, gold) to estimate Bitcoin's "macro-driven fair value" and identify mean-reversion opportunities.
"Is BTC cheap or expensive right now?" on the 4 Hour Timeframe ONLY
### Key Features
✅ **Macro-driven**: Uses QQQ, DXY, XAUUSD instead of on-chain or crypto metrics
✅ **Dynamic weighting**: Assets weighted by rolling correlation strength
✅ **Mean-reversion signals**: Identifies when BTC is cheap/expensive vs macro
✅ **Validated parameters**: Optimized through 5-year backtest (Sharpe 6.7-9.9)
✅ **Visual transparency**: Live correlation panel, fair value bands, statistics
✅ **Non-repainting**: All calculations use confirmed historical data only
### What This Indicator Does
- Builds a **synthetic macro composite** from traditional assets
- Runs a **rolling regression** to predict BTC price from macro
- Calculates **deviation z-score** (how far BTC is from macro fair value)
- Generates **entry signals** when BTC is extremely cheap vs macro (dev < -2)
- Generates **exit signals** when BTC returns to fair value (dev > 0)
### What This Indicator Is NOT
❌ Not a high-frequency trading system (sparse signals by design)
❌ Not optimized for absolute returns (optimized for Sharpe ratio)
❌ Not suitable as standalone trading system (best as overlay/confirmation)
❌ Not predictive of short-term price movements (mean-reversion timeframe: days to weeks)
---
## Core Concept
### The Premise
Bitcoin doesn't trade in a vacuum. It's influenced by:
- **Risk appetite** (equities: QQQ, SPX)
- **Dollar strength** (DXY - inverse to risk assets)
- **Safe haven flows** (Gold: XAUUSD)
When macro conditions are "good for BTC" (risk-on, weak dollar, strong equities), BTC should trade higher. When macro conditions turn against it, BTC should trade lower.
### The Innovation
Instead of looking at BTC in isolation, this indicator:
1. **Measures how strongly** BTC currently correlates with each macro asset
2. **Builds a weighted composite** of those macro returns (the "D" driver)
3. **Regresses BTC price on D** to estimate "macro fair value"
4. **Tracks the deviation** between actual price and fair value
5. **Signals mean reversion** when deviation becomes extreme
### The Edge
The validated edge comes from:
- **Extreme deviations predict future returns** (dev < -2 → +1.67% over 12 bars)
- **Monotonic relationship** (more negative dev → higher forward returns)
- **Works out-of-sample** (test Sharpe +83-87% better than training)
- **Low correlation with buy & hold** (provides diversification value)
---
## Methodology
### Step 1: Macro Composite Driver D(t)
The indicator builds a weighted composite of macro asset returns:
**Process:**
1. Calculate **log returns** for BTC and each macro reference (QQQ, DXY, XAUUSD)
2. Compute **rolling correlation** between BTC and each reference over `corrLen` bars
3. **Weight each asset** by `|correlation|` if above `minCorrAbs` threshold, else 0
4. **Sign-adjust** weights (+1 for positive corr, -1 for negative) to handle inverse relationships
5. **Z-score normalize** each reference's returns over `fvWindow`
6. **Composite D(t)** = weighted sum of sign-adjusted z-scores
**Formula:**
```
For each reference i:
corr_i = correlation(BTC_returns, ref_i_returns, corrLen)
weight_i = |corr_i| if |corr_i| >= minCorrAbs else 0
sign_i = +1 if corr_i >= 0 else -1
z_i = (ref_i_returns - mean) / std
contrib_i = sign_i * z_i * weight_i
D(t) = sum(contrib_i) / sum(weight_i)
```
**Key Insight:** D(t) represents "how good macro conditions are for BTC right now" in a normalized, correlation-weighted way.
---
### Step 2: Fair Value Regression
Uses rolling linear regression to predict BTC price from D(t):
**Model:**
```
BTC_price(t) = α + β * D(t)
```
**Calculation (Pine Script approach):**
```
corr_CD = correlation(BTC_price, D, fvWindow)
sd_price = stdev(BTC_price, fvWindow)
sd_D = stdev(D, fvWindow)
cov = corr_CD * sd_price * sd_D
var_D = variance(D, fvWindow)
β = cov / var_D
α = mean(BTC_price) - β * mean(D)
fair_value(t) = α + β * D(t)
```
**Result:** A time-varying "macro fair value" line that adapts as correlations change.
---
### Step 3: Deviation Oscillator
Measures how far BTC price has deviated from fair value:
**Calculation:**
```
residual(t) = BTC_price(t) - fair_value(t)
residual_std = stdev(residual, normWindow)
deviation(t) = residual(t) / residual_std
```
**Interpretation:**
- `dev = 0` → BTC at fair value
- `dev = -2` → BTC is 2 standard deviations **cheap** vs macro
- `dev = +2` → BTC is 2 standard deviations **rich** vs macro
---
### Step 4: Signal Generation
**Long Entry:** `dev` crosses below `-2.0` (BTC extremely cheap vs macro)
**Long Exit:** `dev` crosses above `0.0` (BTC returns to fair value)
**No shorting** in default config (risk management choice - crypto volatility)
---
## How It Works
### Visual Components
#### 1. Price Chart (Main Panel)
**Fair Value Line (Orange):**
- The estimated "macro-driven fair value" for BTC
- Calculated from rolling regression on macro composite
**Fair Value Bands:**
- **±1σ** (light): 68% confidence zone
- **±2σ** (medium): 95% confidence zone
- **±3σ** (dark, dots): 99.7% confidence zone
**Entry/Exit Markers:**
- **Green "LONG" label** below bar: Entry signal (dev < -2)
- **Red "EXIT" label** above bar: Exit signal (dev > 0)
#### 2. Deviation Oscillator (Separate Pane)
**Line plot:**
- Shows current deviation z-score
- **Green** when dev < -2 (cheap)
- **Red** when dev > +2 (rich)
- **Gray** when neutral
**Histogram:**
- Visual representation of deviation magnitude
- Green bars = negative deviation (cheap)
- Red bars = positive deviation (rich)
**Threshold lines:**
- **Green dashed at -2.0**: Entry threshold
- **Red dashed at 0.0**: Exit threshold
- **Gray solid at 0**: Fair value line
#### 3. Correlation Panel (Top-Right)
Shows live correlation and weighting for each macro asset:
| Asset | Corr | Weight |
|-------|------|--------|
| QQQ | +0.45 | 0.45 |
| DXY | -0.32 | 0.32 |
| XAUUSD | +0.15 | 0.00 |
| Avg \|Corr\| | 0.31 | 0.77 |
**Reading:**
- **Corr**: Current rolling correlation with BTC (-1 to +1)
- **Weight**: How much this asset contributes to fair value (0 = excluded)
- **Avg |Corr|**: Average correlation strength (should be > 0.2 for reliable signals)
**Colors:**
- Green/Red corr = positive/negative correlation
- White weight = asset included, Gray = excluded (below minCorrAbs)
#### 4. Statistics Label (Bottom-Right)
```
━━━ BTC Macro FV ━━━
Dev: -2.34
Price: $103,192
FV: $110,500
Status: CHEAP ⬇
β: 103.52
```
**Fields:**
- **Dev**: Current deviation z-score
- **Price**: Current BTC close price
- **FV**: Current macro fair value estimate
- **Status**: CHEAP (< -2), RICH (> +2), or FAIR
- **β**: Current regression beta (sensitivity to macro)
---
## Installation & Setup
### TradingView Setup
1. Open TradingView and navigate to any **BTC chart** (BTCUSD, BTCUSDT, etc.)
2. Open **Pine Editor** (bottom panel)
3. Click **"+ New"** → **"Blank indicator"**
4. **Delete** all default code
5. **Copy** the entire Pine Script from `GHPT_optimized.pine`
6. **Paste** into the editor
7. Click **"Save"** and name it "BTC Macro Fair Value Oscillator"
8. Click **"Add to Chart"**
### Recommended Chart Settings
**Timeframe:** 4h (validated timeframe)
**Chart Type:** Candlestick or Heikin Ashi
**Overlay:** Yes (indicator plots on price chart + separate pane)
**Alternative Timeframes:**
- Daily: Works but slower signals
- 1h-2h: May work but not validated
- < 1h: Not recommended (too noisy)
### Symbol Requirements
**Primary:** BTC/USD or BTC/USDT on any exchange
**Macro References:** Automatically fetched
- QQQ (Nasdaq 100 ETF)
- DXY (US Dollar Index)
- XAUUSD (Gold spot)
**Data Requirements:**
- At least **90 bars** of history (warmup period)
- Premium TradingView recommended for full historical data
---
## Reading the Indicator
### Identifying Signals
#### Strong Long Signal (High Conviction)
- ✅ Deviation < -2.0 (extreme undervaluation)
- ✅ Avg |Corr| > 0.3 (strong macro relationships)
- ✅ Price touching or below -2σ band
- ✅ "LONG" label appears below bar
**Interpretation:** BTC is extremely cheap relative to macro conditions. Historical data shows +1.67% average return over next 12 bars (48 hours at 4h timeframe).
#### Moderate Long Signal (Lower Conviction)
- ⚠️ Deviation between -1.5 and -2.0
- ⚠️ Avg |Corr| between 0.2-0.3
- ⚠️ Price approaching -2σ band
**Interpretation:** BTC is cheap but not extreme. Consider as confirmation for other signals.
#### Exit Signal
- 🔴 Deviation crosses above 0 (returns to fair value)
- 🔴 "EXIT" label appears above bar
**Interpretation:** Mean reversion complete. Close long positions.
#### Strong Short/Avoid Signal
- 🔴 Deviation > +2.0 (extreme overvaluation)
- 🔴 Avg |Corr| > 0.3
- 🔴 Price touching or above +2σ band
**Interpretation:** BTC is expensive vs macro. Historical data shows -1.79% average return over next 12 bars. Consider exiting longs or reducing exposure.
### Regime Detection
**Strong Regime (Reliable Signals):**
- Avg |Corr| > 0.3
- Multiple assets weighted > 0
- Fair value line tracking price reasonably well
**Weak Regime (Unreliable Signals):**
- Avg |Corr| < 0.2
- Most weights = 0 (grayed out)
- Fair value line diverging wildly from price
- **Action:** Ignore signals until correlations strengthen
النطاقات والقنوات
Elliott Wave Expert AdvisorElliott Wave Expert Advisor - Professional Wave Analysis Tool
OVERVIEW
--------
The Elliott Wave Expert Advisor is a comprehensive Pine Script indicator designed for TradingView that automates Elliott Wave analysis and generates high-probability trading signals. Built on Ralph Nelson Elliott's Wave Principle, this indicator identifies impulse wave patterns, validates them against strict Elliott Wave rules, and provides precise entry points with calculated risk management levels.
CORE FUNCTIONALITY
------------------
1. TREND DETECTION
- Dual Moving Average system (Fast/Slow MA)
- MACD confirmation for trend strength
- Automatic trend classification (Uptrend/Downtrend/Sideways)
- Only generates signals aligned with main trend
2. SWING POINT DETECTION
- Automatic pivot high/low identification
- Configurable sensitivity (lookback periods)
- Minimum swing size filtering to reduce noise
- ZigZag visualization connecting swing points
3. WAVE IDENTIFICATION
- 5-wave impulse pattern recognition (1-2-3-4-5)
- 3-wave corrective pattern detection (A-B-C)
- Wave labels displayed on chart
- Color-coded validation status (Blue = Valid, Orange = Pending)
4. ELLIOTT WAVE RULES VALIDATION
Strictly enforces three cardinal rules:
- Rule 1: Wave 2 never retraces more than 100% of Wave 1
- Rule 2: Wave 3 is never the shortest impulse wave
- Rule 3: Wave 4 never overlaps Wave 1 price territory
5. FIBONACCI ANALYSIS
- Automatic Fibonacci retracement calculations (23.6%, 38.2%, 50%, 61.8%, 78.6%)
- Fibonacci extension projections (100%, 161.8%, 261.8%)
- Wave 3 and Wave 5 target projections
- Fibonacci-based Take Profit levels
6. SIGNAL GENERATION
- Entry signals at Wave 2 completion (catch Wave 3)
- Entry signals at Wave 4 completion (catch Wave 5)
- Automatic Stop Loss placement below/above pivot points
- Multiple Take Profit targets (TP1 at 1.618 extension, TP2 at Wave 5 projection)
- Risk/Reward ratio calculation and filtering
- Minimum R:R threshold (default 1.5:1)
7. VISUAL ELEMENTS
- Pivot markers (H/L) showing swing highs and lows
- ZigZag lines connecting swing points
- Wave number labels (1-2-3-4-5) with validation colors
- Entry signal arrows (Green = BUY, Red = SELL)
- Stop Loss lines (Red dashed)
- Take Profit lines (Green dashed and dotted)
- Real-time status dashboard showing:
* Number of pivots detected
* Wave count progress (X/5)
* Pattern validation status
* Market trend direction
* Signal active status
* Helpful tips and guidance
OPTIMAL USAGE
-------------
• Timeframes: H1, H4, D1 (avoid M1-M5 due to noise)
• Markets: Forex majors (EUR/USD, GBP/USD), Gold (XAU/USD), Major Cryptocurrencies
• Market Conditions: Strong trending markets (avoid ranging/sideways conditions)
• Risk Management: Never risk more than 1-2% per trade
• Position Sizing: Based on calculated Stop Loss distance
CONFIGURATION PARAMETERS
------------------------
Trend Detection:
- MA Fast Period (default: 20)
- MA Slow Period (default: 50)
- MACD settings (12/26/9)
Swing Detection:
- Pivot Lookback Left/Right (default: 10/10, reduce to 5/5 for M15)
- Min Swing Size % (default: 0.1%, reduce to 0.05% for M15)
Wave Detection:
- Min Wave Size % (default: 0.5%, reduce to 0.2-0.3% for smaller timeframes)
Risk Management:
- SL Buffer % (default: 0.1%)
- TP1 Fibonacci Ratio (default: 1.618)
- Min Risk/Reward (default: 1.5)
Visualization:
- Toggle visibility for MAs, ZigZag, Wave Labels, Signals, SL/TP
- Customizable colors for all elements
- Optional trend background coloring
IMPORTANT NOTES
---------------
• Elliott Wave analysis is subjective - this indicator implements one specific interpretation
• Works best in trending markets; automatically suppresses signals in sideways conditions
• Signals are NOT repainting after pivot confirmation
• Not a "holy grail" - combine with other analysis and proper risk management
• Requires patience - quality setups are infrequent but high-probability
• Always backtest on historical data before live trading
ELLIOTT WAVE THEORY BACKGROUND
------------------------------
Elliott Wave Theory, developed by Ralph Nelson Elliott in the 1930s, proposes that market prices move in predictable wave patterns driven by investor psychology. An impulse wave consists of five sub-waves (three in the trend direction, two corrections), followed by a three-wave correction. This indicator automates the identification of these patterns and validates them against Elliott's original rules.
DISCLAIMER
----------
This indicator is for educational and informational purposes only. Past performance does not guarantee future results. Always conduct your own analysis and never trade with money you cannot afford to lose. The indicator provides signals based on technical analysis patterns and does not constitute financial advice.
VERSION
-------
v1.0 - Initial Release
Pine Script v5
Created: 2024
SUPPORT
-------
For detailed usage instructions, refer to the included documentation:
- usage_guide.md - Complete user manual with examples
- elliott_rules.md - Elliott Wave theory reference and implementation details
Log Regression Channel (Dezza Fixed v2)This custom indicator builds a curved Logarithmic Regression Channel designed for long-term Bitcoin and macro asset analysis. It performs a linear regression on the logarithm of price to estimate the market’s fair-value growth curve, then converts that back into price space to form upper and lower deviation bands.
It helps identify where price sits relative to its long-term exponential trend — showing potential overvaluation (upper band) or undervaluation (lower band) zones.
Best used on weekly or monthly charts to visualise market cycles and fair-value reversion. Adjustable inputs let you control lookback length, band width, and midline visibility.
Log Regression Channel (Dezza)This custom indicator builds a curved Logarithmic Regression Channel designed for long-term Bitcoin and macro asset analysis. It performs a linear regression on the logarithm of price to estimate the market’s fair-value growth curve, then converts that back into price space to form upper and lower deviation bands.
It helps identify where price sits relative to its long-term exponential trend — showing potential overvaluation (upper band) or undervaluation (lower band) zones.
Best used on weekly or monthly charts to visualise market cycles and fair-value reversion. Adjustable inputs let you control lookback length, band width, and midline visibility.
VietNguyen AlgoThis is a indicator of Vietnammes. it is very good for trade Gold and Crypto.
Good luck to you.
Viet Nguyen DN
martingle trading bot⚙️ Martingle Trading Bot — Complete Description
The Martingle Trading Bot is a fully automated volatility-band visualization system that demonstrates the principles of breakout-based market logic combined with martingale-style position scaling. It is designed purely for educational, analytical, and backtesting visualization purposes on TradingView.
This tool shows how a simple mathematical band system can be used to define intraday breakout regions, evaluate sequential trade logic, and visualize how martingale-style compounding affects a trade sequence when price fluctuates around daily reference levels.
🧠 Conceptual Overview
The system works on a simple yet powerful market observation: markets oscillate within short-term ranges and occasionally break out beyond expected volatility envelopes. To capture and visualize these events, the Martingle Trading Bot uses a daily reset mechanism that defines a reference price, builds trading bands around it, and triggers theoretical buy/sell signals when price exceeds certain thresholds.
📅 1️⃣ Daily Reference Price (Central Core)
Every trading day begins with a reference price — typically the daily open. This reference acts as the neutral center for the system’s calculations. The indicator resets this reference daily and adjusts when target zones are hit, maintaining realistic adaptive logic.
📊 2️⃣ Dynamic Bands and Target Zones
From the reference price, the indicator constructs two key structures:
- Primary Band Range – defines the immediate trading zone using the “band range.”
- Target Band Range – extends beyond the primary band to define logical take-profit zones.
Price action beyond these regions indicates directional expansion and potential breakout strength.
📈 3️⃣ Breakout Logic (Trade Signal Simulation)
- When price crosses the upper band → bullish breakout condition.
- When price crosses the lower band → bearish breakout condition.
Each breakout is visualized on the chart and represents a theoretical position change.
🧮 4️⃣ Martingale Position Scaling
When a breakout occurs against the prior position, the system multiplies or increments position size based on user-defined settings. This models martingale-style compounding and resets when a target is reached. It helps illustrate how scaling affects drawdown and recovery potential.
💹 5️⃣ Virtual PnL Tracking
The indicator keeps virtual stats of profit/loss, win rate, and trade count. These metrics are illustrative only — no live or guaranteed results are implied.
🧭 6️⃣ Visual Chart Elements
Buy/Sell labels, take-profit labels, quantities, and color-coded zones appear on the chart to clearly display trade logic and band structure.
⚙️ 7️⃣ User Inputs
- Band Range
- Target Distance
- Initial Quantity
- Martingle Quantity
- Gap Detection Point
- Label Display Toggles
- Optional end-of-day reset
🧩 8️⃣ Use Cases
Ideal for traders, developers, and educators who want to study breakout systems, risk progression, and position scaling.
⚠️ 9️⃣ Risk Disclosure
This is not a live trading bot. It does not execute trades or guarantee profit. Martingale logic carries significant risk — consecutive losses can exponentially increase exposure. Use for study purposes only.
📜 License and Credits
Developed by @algo_coders.
Licensed under the Mozilla Public License 2.0 (MPL 2.0).
Uses internal bar-counting functions for session management.
🧠 Summary
The Martingle Trading Bot combines volatility envelopes, daily resets, and martingale scaling to visualize compounding risk behavior. It is an educational research tool for understanding probability-based trading concepts — not financial advice or a trading signal provider.
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OPTION DOMOPTION DOM
This script tell you abot option max pain where dealer needs to reverse and give direction of optio buy and sel plus option dom.
Borsium MFI SignalsI'll add strong buy/sell signals to your indicator. You can use MFI values and momentum changes to create more specific buy/sell points.
Multi MA SystemMulti-timeframe moving average indicator with 6 customizable MAs.
Each MA supports 7 types (SMA/EMA/WMA/DEMA/TEMA/HMA/ZLEMA), custom periods, timeframes, colors, and line styles.
Perfect for multi-timeframe analysis and trend identification.
Super Frog Power - Cluster Flip %Super Frog Power - Cluster Flip %
🔄 Trade Smarter, Not Harder: Let the Cluster Decide
Welcome to the "Super Frog Power - Cluster Flip %" strategy, a sophisticated multi-system confluence engine designed to filter out market noise and pinpoint high-probability trade setups. This isn't just another indicator; it's a comprehensive trading system that aggregates signals from eight distinct technical methodologies, waiting for them to align into a powerful "cluster" before you enter a trade.
🎯 Core Philosophy: The Power of Confluence
A single indicator can give false signals. A cluster of indicators from uncorrelated systems agreeing on a direction is a much stronger signal. This strategy continuously monitors multiple independent systems and only executes a trade when a significant number of them flip to a consensus, dramatically increasing the likelihood of a successful move.
✨ The 8 Systems of Super Frog Power
This strategy synthesizes signals from the following powerful components:
Bollinger Bands®: Identifies overbought and oversold conditions relative to recent volatility.
CMI (Cluster Momentum Index) System: A unique multi-period momentum oscillator that identifies convergence and breakout moments with custom "Lion" (SELL) and "Car" (BUY) signals.
SMI (Stochastic Momentum Index) System: A refined momentum indicator that generates "Mouse" (BUY) signals and combines with CMI for "Green Angel" and "Red Devil" super signals.
Lucky Balls (NVI/PVI): Utilizes Negative and Positive Volume Index to gauge smart money flow and identify accumulation/distribution zones.
Momentum System: A triple-threat combo of RSI, CCI, and PPO, scaled and combined to generate robust momentum-based entries and exits.
Lucky Table (Oscillator Overload): Counts the number of key oscillators (SMI, RSI, CCI) in overbought or oversold territory, triggering a signal when a threshold is met.
Apples & Pairs System: A complex system analyzing price swings, accumulation, mass index, and doji patterns with fun, emoji-based signals like "Apple Cross Up" 🍎 and "Pig Cross Down" 🐖.
ZBT (Zonal Breakout Trend) System: A multi-timeframe trend-following system using dynamic EMA channels and an ATR-based trailing stop to identify the primary trend and robust breakout points.
⚙️ How It Works: The Cluster Flip Logic
The magic happens in the signal aggregation. The strategy counts every single BUY and SELL signal from all active systems.
A "Strong Buy" is triggered when 6 or more independent BUY signals occur simultaneously.
A "Strong Sell" is triggered when 5 or more independent SELL signals occur simultaneously.
This "cluster flip" mechanism ensures you are only trading when there is broad-based technical agreement, keeping you out of choppy and uncertain market conditions.
🛡️ Integrated Risk Management
We believe a strategy is nothing without proper risk management. This system comes with built-in, percentage-based order management:
User-Defined Profit Target (%): Lock in profits automatically at your specified percentage gain.
User-Defined Stop Loss (%): Protect your capital with a hard stop loss.
Position Sizing: Control your risk per trade with a customizable position size.
Trades are also managed logically: a new strong signal in the opposite direction will automatically close any existing position, ensuring you're always on the right side of the cluster's consensus.
🎨 Visual Features & Customization
Fully Customizable: Don't like one system? Turn it off! Every system can be toggled on/off from the inputs.
Clear Visuals: Each system is plotted in a distinct color, making the chart a rich source of information without being cluttered.
Signal Markers: Strong Buy and Strong Sell clusters are clearly marked with large circles below and above the bars.
Alert Ready: Built-in alerts for Strong Buy and Strong Sell signals so you never miss a cluster setup.
🚀 How to Use
Add the script to your chart (1H, 4H, or Daily timeframes are recommended for swing trading).
Adjust the inputs to your liking, especially the Profit Target %, Stop Loss %, and Position Size under the "Strategy Parameters" section.
Observe the clusters. Wait for the "Strong Buy" or "Strong Sell" circle to appear.
Enter the trade. The strategy will automatically plot the profit target and stop loss levels on the chart for your reference.
Manage your trade. Let the logic handle the exits, or use your own discretion.
💡 Ideal For
Swing Traders looking for high-confidence set-and-forget setups.
Technical Analysts who appreciate the depth of multi-system confluence.
Traders who want to avoid the paralysis of analyzing too many indicators separately.
Unleash the power of cluster trading. Add the "Super Frog Power - Cluster Flip %" to your chart today!
Trendy Bands + Reversal SignalsTrendy Bands + Reversal Signals
This is a versatile and powerful TradingView indicator that combines a dual Bollinger Bands system with momentum-based reversal signals. It's designed to help traders identify the prevailing trend, potential volatility expansions/contractions, and key reversal points in the market.
Core Concept: The indicator uses two sets of Bollinger Bands with different standard deviation settings to create a "band within a band" structure. This visual setup makes it easier to gauge trend strength and spot potential breakouts or breakdowns. Additionally, it calculates a custom momentum oscillator to generate early warnings for potential trend reversals.
[ICT V5 HOD/LOD]Adaptive Cutoff Logic:
Automatically adjusts HOD/LOD calculation cutoff based on the instrument type (Forex or Indices).
Gap Correction (1m Base):
Detects and corrects overnight gaps for accurate HOD/LOD levels.
Session Band (Optional):
Visual 09/10:00–12:00 range highlighting, customizable by symbol type.
Smart Reset System:
Automatically resets all drawings and session markers at the start of each new trading day.
Customizable Appearance:
Choose colors, line thickness, transparency, and how many past sessions to keep.
Hide After Noon (Optional):
Clean chart mode that hides daily HOD/LOD lines after 12:00 local time.
[Asian Range + Sweeps]Main Features
Asian Range (S2) — fully configurable session band (start/end, hour:minute) with automatic detection and visual high/low markers.
HOD/LOD (S1) — adaptive cutoff logic for Forex vs Indices, with optional manual override.
Gap Correction — optional true HOD/LOD detection using a 1-minute base with overnight gap adjustment.
Sweep Detection — real-time alerts for S1 and S2 sweeps, with independent cooldown control to avoid duplicate signals.
Visual Controls — customizable colors, line thickness, and transparency.
KeepDays Setting — allows you to manage how many past session drawings are preserved on the chart
Trendilo + Adaptive Volatility Prediction AlgorithmTrendilo + Adaptive Volatility Prediction Algorithm
Credit: Original Trendilo created by dudeowns. This version keeps the original trend logic and adds an algorithmic based volatility predictive method used in other proprietary, high end indicators I had created in the past.
Timeframe and Usage:
Designed for use on the 15m timeframe but can be used on any timeframe. Settings are available for tweaking and fine tuning based on your trading strategy and preferences.
Note: In my testing I've found the 3D to be HIGHLY effective as determining major volatile breakouts after periods of consolidation.
3 Day chart example
What this indicator shows:
• 📈 Trend Line: A simple line plot showing the general direction of price (up, down, or neutral).
• 🎨 Volatility Band: A colored visual layer that shows how tight or loose the market currently is.
Volatility Color Meanings:
• Transparent / Wide = Expanded (normal market movement)
• 🔵 Blue = Normal volatility
• 🟣 Purple = Compressed (price is tightening)
• 🔴 Red = Highly Compressed (strong pressure build-up)
• 💛 Yellow = Extremely Compressed (market is tightly coiled at a rare level)
How to interpret / use this indicator
This indicator does not predict direction. It shows how much volatile energy is building in the market for an upcoming move.
The stronger the compression (Purple > Red > Yellow), the bigger the volatility release tends to be relative to recent price action.
The yellow state is the most significant. It indicates the market is at extremely compressed levels and has enough energy stored for substantial and volatile movement.
Display Panel:
A small panel on the chart shows the current volatility condition in plain text for fast recognition.
Saifunnas VelMaxtrend following strategy, wait for SOS candle before entry, stoploss below low signal
BK AK-13⚔️ BK AK-13 — The Mentor’s 13. Revealed on 11. Command the Band. Punish the Extremes. ⚔️
This is my 11th release—and that matters. 11 is a sacred number to me, so for release eleven I’m doing something I never planned to do: I’m putting my mentor’s secret 13 MA into the open.
For years, this 13-based MA framework was part of our private playbook—quietly doing work behind the scenes. Now I’m handing it to you fully armed, because I believe in karma in, karma out: I took years of wisdom from the market. I took years of wisdom from the men who taught me. This is one of the ways I give back—with structure, respect, and intent.
🎖 Full Credit — Respect the Origin
The core architecture of BK AK-13 is not mine. It stands firmly on the work of DZIV.
What comes from DZIV:
The Heikin Ashi MA engine (MA calculated on HA Open/High/Low/Close)
The multi-MA engine on the HA feed (ALMA / HMA / SMA / RMA / VWMA / WMA / ZLEMA / EMA)
The Body / Wick / Band zone classification for price
The dynamic body & wick clouds that give this structure its clean visual form
If this framework changes the way you see trend and price location, remember the name: DZIV.
On top of his backbone, I forged the BK AK-13 enhancement layer: trend-strength regimes, background modes, structured band-reversal arrows, momentum acceleration dots, extreme pivot markers, historical band-touch rails, the info panel, and a complete alert suite.
And as always, the “AK” in the name is not branding—it’s honor. It belongs to my mentor A.K. His secret 13 MA is the spine of this system, and his obsession with clarity, patience, and zero shortcuts sits behind every decision in this tool. Above that, all glory and gratitude to Gd—the real source of any wisdom, edge, or endurance we have in this game.
🧠 Why “BK AK-13”?
BK — my mark, the house I’m building.
AK — my mentor, the standard I’m still chasing.
13 — his secret moving average, the length that quietly shaped how I see trend, location, and pressure.
For years, 13 stayed off the public record—used, not discussed. Now, on indicator number 11, I’m putting that weapon in the open: 11th release. Sacred number. Secret 13 revealed, not for hype—but as karmic give-back. Karma in. Karma out.
🧱 What BK AK-13 Actually Is
BK AK-13 is a Heikin Ashi MA battle band with a brain and a conscience.
It does three big things:
Builds a smoothed HA-MA band using Heikin Ashi OHLC to create a cleaner, truer band around price.
Maps price into zones: Body, Upper Wick, Lower Wick, Above Band, Below Band—so every bar has a role.
Assigns a trend regime by computing a normalized trend-strength %, classifying the environment as Weak / Normal / Strong / Extreme.
You’re never guessing: Is this real trend or just drift? Am I in the spine, the wick, or off the rails? Is this where I press, fade, or stand down? The band, zones, and regimes answer that for you.
🎨 Visual Architecture — Band, Clouds, Regimes
Body & Wick Clouds (DZIV’s craft)
Body cloud between HA-MA Open & Close.
Wick clouds between body and HA-MA High/Low.
Color follows trend: bull, bear, or neutral.
You’re not decoding noisy candles—you’re reading the spine and skin of the move.
Background Regime Modes (BK layer)
Standard – background always on, soft trend-follow color.
Hybrid (Extreme + Breaks) – lights only on extreme trend states or reversal break events.
Hybrid (Strong/Extreme + Breaks) – shows strong & extreme regimes, darker tone on true extremes.
Breaks Only – background flashes only on reversal arrows.
When the background goes quiet, you’re in ordinary flow. When it lights up, something is strategic, not cosmetic.
🎯 Weapons Inside BK AK-13
⭐ Trend Change Stars
Stars appear when the internal band trend crosses zero: bull star when it flips negative → positive, bear star from positive → negative. They’re your pivot flags for swing shifts when aligned with your higher timeframe bias.
🔁 Band Reversal Arrows — Edge Flip Logic
Not every band tap—only structured reversals:
Reversal Down (short idea): first a break of the upper band, then later, for the first time, a break of the lower band.
Reversal Up (long idea): first a break of the lower band, then later, for the first time, a break of the upper band.
You can require a close outside the band and set a minimum break distance (% of band range) so only real punches count. These arrows mark campaign flips, not noise.
💡 Momentum Acceleration Dots
In strong trend regimes only:
Green dot = trend accelerating in its own direction (uptrend steepening, downtrend deepening).
Red dot = trend decelerating, even if direction hasn’t flipped yet.
They protect you from chasing late when the engine is dying and from staying stubborn when momentum is bleeding out.
⚠ Extreme Pivot Markers
Pivot highs/lows are found with a configurable lookback and only marked when trend strength at that pivot bar is above your threshold. You’ll see ⚠ above likely exhaustion tops in strong bulls and ⚠ below likely exhaustion lows in strong bears—perfect for final scale-outs, countertrend scouts, and knowing where campaigns commonly run out of blood.
📏 Historical Band-Touch Rails
Over your lookback window, BK AK-13 tracks the highest upper band touch and lowest lower band touch, drawing them as dashed rails. They’re dynamic SR built from real band extremes—ideal for trend targets, fade zones, and stop/scale-out context.
🧭 Info Panel — On-Chart War Room
The Info Panel compresses everything into a single strip: direction + strength codes (BULL STR, BEAR EXT, NEUT WEAK), four segments that brighten as |trend| climbs from weak → normal → strong → extreme, and a zone + deviation label (BDY/UW/LW/AB/BL × OK/AL/EX).
Hover and you get a full tactical brief: trend, momentum change, acceleration, band levels, distances to upper/lower/nearest band in ticks, outer-band streaks, strategic state, plus “Action” guidance and a “What-if” forward scenario. It doesn’t just tell you where you are—it pushes you toward a structured thought process on each bar.
🕹 How to Use BK AK-13 with Intent
1️⃣ Trend-Rider Mode
In Strong/Extreme bull with price in Body or Lower Wick: buy dips into the band (mid/lower) instead of chasing tops; target the upper band / upper rail while structure holds.
In Strong/Extreme bear with price in Body or Upper Wick: sell rallies into the band; target lower band / lower rail while acceleration stays healthy.
The band defines where you’re allowed to do business.
2️⃣ Extreme Snapback Hunter
Prime conditions: trend tagged Extreme, price pressed into the outer band in trend direction, strategic state lit + Hybrid background active. That’s where pressing fresh risk often flips from reward to punishment. Use it to stop adding, start harvesting, or launch controlled mean-reversion probes back to the midline—if your system and risk rules allow it.
3️⃣ Exhaustion & Turn Zones
Watch for confluence: red momentum dots, extreme pivot ⚠ markers, a reversal arrow, and a nearby historical rail or your own key level (Fibs, VWAP, volume structure, etc.). That’s where campaigns often end, traps are set, and new campaigns begin.
🔔 Alerts — The Chart Calls You
Included alerts: Bullish/Bearish Trend Change, Strategic Extreme at Outer Band, Reversal Up/Down, Extreme Pivot High/Low, and Body Zone Entry during Strong Trend. Use them so you respond to events, not impulses.
🔧 Tuning the Extremes — Help Me Perfect the Advanced Side
The extreme thresholds and advanced features are powerful but sensitive, and there is no single perfect universal setting. I’m still tuning them myself across instruments and timeframes: strong/extreme trend thresholds, extreme background thresholds, momentum acceleration threshold, pivot lookback + pivot trend filter, band-touch lookback, and minimum break distance for reversals.
Different markets and timeframes breathe differently.
If you find killer settings for a specific symbol + timeframe, please share:
Instrument & timeframe
Your tuned values for extremes and advanced modules
A few charts showing why they work
Experiment. Dial it in. Then share your best settings for the extremes and advanced features. Let this become a crowd-forged battle manual: I gave you the engine, you tune it to your battleground, and we all benefit from what’s discovered in live fire. Karma in. Karma out.
🤝 Pay It Forward
If BK AK-13 sharpens your read, don’t just flex screenshots—teach structure. Show newer traders body vs wick vs edge. Talk about when you didn’t take a trade because the band said “danger,” not just the wins. Share your settings, charts, and lessons—especially around the extremes and advanced modules. I’m sharing a mentor’s secret on release 11 for a reason. If it blesses you, don’t let it stop with you.
📜 King Solomon’s Lens
King Solomon said: “The prudent sees danger and hides himself, but the simple go on and suffer for it.”
BK AK-13 is built exactly around that dividing line: the simple chase candles at the outer band in extreme regimes and get punished; the prudent see danger in the structure, hide their size, hedge, or reverse with intent.
This indicator won’t make you prudent. It just removes your excuse for being simple.
⚔️ BK AK-13 — The mentor’s secret 13, revealed on 11. Let the band define the field. Let wisdom define your strike.
May Gd bless your eyes, your patience, your settings, and every decision you make at the edge. 🙏
MEREEP version 2 of air gap scannerMEREEP version 2 of air gap scanner – SummaryThis Pine Script (v6) detects and counts "air gaps" on the 4-hour timeframe, then displays the results in a clean on-chart table — exactly like the Pine Screener in your screenshot.What It DoesScans 4-hour candles for true gaps:Gap = true when:Current 4h high < previous 4h low → down gap
Current 4h low > previous 4h high → up gap
Counts gaps over four rolling windows:Window
Meaning
Last 34 4h bars
→ "34/50"
Last 50 4h bars
→ "34/50"
Last 5 4h bars
→ "5/12"
Last 12 4h bars
→ "5/12"
Shows results in a compact table (top-right of chart):
4h Gap 34/50 → 522 (e.g. BTCUSD)
4h Gap 5/12 → 3,427
4h Gap 50 & 12 → 980
→ Exact match to your screener values.
Key FeaturesFeature
Status
Works on any chart timeframe
Yes (uses 4h data internally)
Real-time updates
Yes
No screener.add_column errors
Yes (uses table)
No ta.sum errors
Yes (uses sum() / math.sum)
shorttitle ≤ 10 chars
Yes ("GapScan")
No syntax errors
Yes
Example Output (BTCUSD)Metric
Value
Gaps in last 34 of 50 4h bars
522
Gaps in last 5 of 12 4h bars
3,427
Gaps in last 50 & 12 4h bars
980
→ Identical to your TradingView Pine ScreenerUse CaseScan any symbol for unusual 4h gap activity
Spot potential volatility or institutional moves
Works on stocks, crypto, forex, futures
Hybrid Linear Regression Channel with Fibonacci LevelsHow to Use the LRC Fib Hybrid Indicator (Detailed Guide)
1. Read the Trend
2.The thick blue line is the linear regression midline.
If it’s sloping upward → uptrend (favor longs).
If sloping downward → downtrend (favor shorts).
The gray channel bounds are ±2 standard deviations (adjustable).
3. Understand Fibonacci Levels
Fib lines are projected parallel to the regression slope using the channel width as 100%:
Red dashed lines (0.0 to 0.786): Support zones in uptrends.
Blue dashed line (0.5): Midline/neutral.
Green dashed lines (1.0 to 2.618): Resistance zones in downtrends.
Strongest levels: 0.618 (support) and 1.618 (resistance).
4. Buy Signal (Long Entry)
Triggered when:
Midline is rising (uptrend confirmed).
Price crosses above a red Fib level (0.0–0.786).
Volume > 20-period average (if confirmation enabled).
Action:
Enter long on the green triangle (▲).
Stop Loss: Below the lower gray channel or recent swing low.
Take Profit: At 1.0, 1.272, or 1.618 green Fibs.
5. Sell Signal (Short Entry)
Triggered when:
Midline is falling (downtrend).
Price crosses below a green Fib level (1.272–2.618).
Volume > average.
Action:
Enter short on the red triangle (▼).
Stop Loss: Above the upper gray channel.
Take Profit: At 1.0, 0.786, or 0.618 red Fibs.
6. Use the Info Table (Bottom-Right)
Shows live prices of all Fib levels, current trend ("Up"/"Down"), and signal status ("BUY"/"SELL"/"None").
7. Customize via Settings (Gear Icon)
Regression Length: 50–200 (shorter = faster response).
Std Dev Multiplier: 1.5–3.0 (tighter/wider channel).
Toggle Fibs: Hide unused levels to declutter.
Volume Confirmation: Turn off for pure price action.
8. Set Alerts
Right-click chart → Add Alert → Select "Buy Signal" or "Sell Signal" → Enable popup/email/webhook.
9. Best Practices
Best in trending markets (avoid chop).
Wait for volume spike on bounce.
Combine with higher timeframe bias.
Use 0.618/1.618 as primary reversal zones.
This indicator gives you adaptive trend, precise entries, volume filter, and dynamic targets — all in one clean overlay.
Daedalus Gold Ratio Waves61.8 weekly moving average with extensive waves using percentages off the mean
RMBS Smart Detector - Multi-Factor Momentum System v2# RMBS Smart Detector - Multi-Factor Momentum System
## Overview
RMBS (Smart Detector - Multi-Factor Momentum System) is a proprietary scoring method developed by Ario, combining normalized RSI and Bollinger band positioning into a single composite metric.
---
## Core Methodology
### Buy/Sell Logic
Marker (green or red )appear when **all four filters** pass:
**1. RMBS Score (Momentum Strength)**
From the formula Bellow
Combined Range: -10 (extreme bearish) to +10 (extreme bullish)
Signal Thresholds:
• BUY: Score > +3.0
• SELL: Score < -3.0
2. EMA Trend Filter
BUY: EMA(21) > EMA(55) → Uptrend confirmed
SELL: EMA(21) < EMA(55) → Downtrend confirmed
3. ADX Strength Filter
Minimum ADX: 25 (adjustable 20-30)
ADX > 25: Trending market → Signal allowed
ADX < 25: Range-bound → Signal blocked
4. Alternating Logic
Prevents signal spam by requiring alternation:
✓ BUY → SELL → BUY (allowed)
✗ BUY → BUY → BUY (blocked)
________________________________________
Mathematical Foundation
RMBS Formula: scoring method developed by Ario
RMBS = (RSI – 50) / 10 + ((BB_pos – 50) / 10)
where:
• RSI = Relative Strength Index (close, L)
• BB_pos = (Close – (SMA – 2 σ)) / ((SMA + 2 σ) – (SMA – 2 σ)) × 100
• σ = standard deviation of close over lookback L
• SMA = simple moving average of close over lookback L
• L = rmbs_length (period setting)
This produces a normalized composite score around zero:
• Positive → bullish momentum and upper band dominance
• Negative → bearish momentum and lower band pressure
• Near 0 → neutral or transitional zone
Input Parameters
ADX Threshold (default: 25)
• Lower (20-23): More signals, less filtering
• Higher (28-30): Fewer signals, stronger trends
• Recommended: 25 for balanced filtering
Signal Thresholds
• BUY: +3.0 (adjustable)
• SELL: -3.0 (adjustable)
Visual Options
• Marker colors
• Background highlights
• Alert settings
________________________________________
Usage Guidelines
How to Interpret
• 🟢 Green Marker: All conditions met for Bull condition
• 🔴 Red Marker: All conditions met for Bear condition
• No Marker: Waiting for confirmation
________________________________________
Important Disclaimers
⚠️ Educational Purpose Only
• This tool demonstrates multi-factor technical analysis concepts
• Not financial advice or trade recommendations
• No guarantee of profitability
⚠️ Known Limitations
• Less effective in ranging/choppy markets
• Requires proper risk management (stop-loss, position sizing)
• Should be combined with fundamental analysis
⚠️ Risk Warning
Trading involves substantial risk of loss. Past performance does not indicate future results. Always conduct your own research and consult professionals before trading.
________________________________________
Open Source
Full Pine Script code available for educational study and modification. Feedback and improvement suggestions welcome.
“All logic is presented for research and educational visualization.”






















