Lines Blue OrangeTry this without candles. Can be used with other indicators to help determine the direction.
Bands and Channels
Multi-MA Flow [longshorti]Multi-MA Flow
A versatile Moving Average indicator designed to visualize Trend Flow and identify key dynamic support/resistance levels. It features up to five customizable MAs and highlights the zone between the fast and slow MAs for a clear display of trend strength and direction.
🌟 Key Features
Dynamic Trend Flow (MA Flow Zone): The indicator colors the zone between the Fast MA (MA 2) and the Slow MA (MA 5). The fill visually represents trend direction and its Momentum (Divergence/Convergence) .
Trend Momentum Visualization: The fill color intensity and contrast signal trend strength. For example, Vibrant Fill indicates MA divergence, while Muted Fill signals convergence.
Flexible Moving Average System: Supports up to five (5) customizable MA lines (MA 1 through MA 5), each with independent period and visibility settings.
Supported MA Types: The indicator allows changing the type for all MAs to: EMA, SMA, WMA, or RMA .
Visual Notifications: Includes optional 'R' Retest Labels for finding potential entries on MA 2 and MA Value Labels showing current MA prices on the last bar.
Full Customizability: The entire color scheme, periods, and visibility of all elements are fully adjustable to suit any chart theme.
⚙️ Detailed Customization & Control
General Settings: Selects the Moving Average Type ( EMA, SMA, WMA, RMA ) for all MA lines.
MA Lines (5x): You can independently control Show/Hide , Period , Color , and Width for each of the five MA lines.
Flow Zone Fill:
The Enable MA2/MA5 Fill option allows you to toggle the flow zone visualization on or off.
You also define the Bullish/Bearish Fill Colors .
Labels & Retest: Control the visibility of MA Value Labels and the unique 'R' Retest Markers on MA 2.
Global Color: An option to override all line colors with a single selected Global Color .
💡 How to Use
Trend Direction: Observe the placement of MA 2 relative to MA 5.
Momentum: Watch the color and width of the fill. Widening lines with bright fill color indicates strong momentum.
Entry/Exit Points: Use the 'R' labels to locate potential retests of the fast MA in the direction of the dominant Flow Zone.
Quantum Ribbon Lite📊 WHAT IS IT?
Quantum Ribbon Lite is a trend trading indicator built on a 5-layer exponential moving average ribbon system. It analyzes price momentum, volume, and ribbon alignment to generate entry signals with pre-calculated stop loss and take profit levels.
The indicator is designed for traders who want a straightforward approach to trend trading without managing complex configurations.
🔧 HOW IT WORKS
The Ribbon System
The indicator uses 5 pairs of EMAs (10 moving averages total) that create colored "clouds" on your chart:
Blue/Teal ribbons indicate bullish alignment
Red/Pink ribbons indicate bearish alignment
Mixed colors indicate neutral or transitional periods
The ribbon spacing automatically adjusts from a fast EMA (21) to a slow EMA (60), creating layers that show trend strength and direction.
Signal Generation
Signals appear when multiple conditions align:
For LONG signals:
Fast EMAs are above slow EMAs
Price momentum is positive and strong (> 0.5 ATR)
Volume is above average (> 1.1x average)
Ribbon confirms bullish state
Minimum confidence threshold met (filters weak setups)
For SHORT signals:
Fast EMAs are below slow EMAs
Price momentum is negative and strong
Volume is above average
Ribbon confirms bearish state
Minimum confidence threshold met
📈 VISUAL COMPONENTS
Entry Signals
Green "BUY" label = Long entry signal at candle close
Red "SELL" label = Short entry signal at candle close
Signals only trigger on confirmed candle closes (no repainting).
Risk Management Lines
Three lines appear when you have an active position:
White dotted line = Entry price
Red dotted line = Stop loss level
Green dotted line = Take profit target
Performance Dashboard
The stats table shows:
Current position status (In Long/Short or Waiting for signal)
Entry, stop, and target prices when in a trade
Win/loss record
Win rate percentage with color coding
⚙️ SETTINGS
1. Signal Sensitivity (1-10)
Controls the minimum time between signals (cooldown period):
1 = 2 bars between signals (most frequent)
5 = 10 bars between signals (balanced)
10 = 20 bars between signals (most selective)
Lower values generate more signals, higher values filter for better setups.
2. Stop Loss Distance
Determines how stops are calculated using ATR (Average True Range):
Tight = 1.5x ATR from entry
Normal = 2.0x ATR from entry
Wide = 2.5x ATR from entry
ATR adapts to market volatility, so stops are tighter in calm markets and wider in volatile markets.
3. Take Profit Target
Sets your risk-to-reward ratio:
1.5R = Target is 1.5 times your risk
2R = Target is 2 times your risk
3R = Target is 3 times your risk
Example: With a $100 stop distance and 2R setting, your take profit will be $200 away from entry.
4. Show Stats Table
Toggle to show/hide the performance dashboard in the top-right corner.
5. Show Risk Lines
Toggle to show/hide the entry/stop/target lines on the chart.
📋 HOW TO USE
Step 1: Apply to Chart
Add the indicator to your preferred instrument and timeframe (daily recommended).
Step 2: Wait for Signal
A BUY or SELL label will appear on the chart when conditions align.
Step 3: Enter Position
Enter at the close of the signal candle in the indicated direction.
Step 4: Set Risk Parameters Use the displayed lines:
Red line = Your stop loss
Green line = Your take profit
Step 5: Hold Position
Wait for the position to hit either the stop or target. No new signals will appear while you're in a position.
Step 6: Review Results
Check the stats table to track your win rate and adjust settings if needed.
🎯 RISK MANAGEMENT
Stop Loss Calculation
Stops are based on ATR (Average True Range) which measures recent price volatility:
In quiet markets: Stops are placed closer to entry
In volatile markets: Stops are placed further away
This adaptive approach helps prevent stop-hunting while maintaining appropriate risk levels.
Take Profit Calculation
Targets are calculated as a multiple of your stop distance:
If stop is 50 points away and you use 2R, target is 100 points away
Maintains consistent risk-reward ratios across all trades
Required Win Rates To break even after fees:
1.5R requires ~40% win rate
2R requires ~34% win rate
3R requires ~25% win rate
📊 RECOMMENDED USAGE
Timeframes:
Daily charts show strongest performance in testing
4H and 1H timeframes work but may have lower win rates
Lower timeframes generate more signals but reduced quality
Markets:
Works on all instruments: Stocks, Forex, Crypto, Futures, Indices
Best suited for trending markets
May generate false signals in tight ranges or choppy conditions
Relative Measured Extension (RME)The Relative Measured Extension (RME) indicator is a powerful oscillator that helps traders identify extreme price extensions from a moving average by normalizing historical data on a scale of -100 to +100.
This indicator is inspired by the Deepvue RME indicator and brings its powerful methodology to TradingView with full customization options and additional features.
What Makes RME Unique?
Unlike traditional oscillators, RME dynamically calculates how extended the current price is compared to ALL previous extensions over your chosen lookback period. A reading of +100 means the stock is as far above the moving average as it has EVER been in the lookback window, while -100 indicates the maximum historical extension below the MA.
Key Features
✅ Adaptive Scaling - Automatically normalizes to historical extremes
✅ Multiple MA Types - Choose between SMA, EMA, WMA, or VWMA
✅ Visual Zones - Color-coded overbought (70-100) and oversold (-70 to -100) regions
✅ Info Dashboard - Real-time display of RME value, extension %, MA value, and status
✅ Built-in Alerts - Get notified when entering overbought/oversold zones or crossing zero
✅ Fully Customizable - Adjust all parameters to match your trading style
Recommended Settings
Position Traders:
Lookback Period: 250
MA Length: 50
Use for spotting significant trend changes and correction bottoms
Swing Traders (Option 1):
Lookback Period: 100
MA Length: 20
Faster signals for medium-term swings
Swing Traders (Option 2):
Lookback Period: 50
MA Length: 10
Most responsive for quick trades on strong momentum stocks
How to Interpret
+70 to +100 (Red Zone) - Overbought, potential pullback area
-70 to -100 (Green Zone) - Oversold, potential reversal area
Zero Line Cross - Momentum shift signal
RME at 0 in uptrends - Excellent entry points during pullbacks
Trading Application
Early in Trends: High RME readings can signal strength, though a consolidation may be needed
Late in Trends: Extreme readings may indicate exhaustion
During Corrections: Use on index ETFs (QQQ, SPY) to identify potential bottoms
Pro Tips
Compare current extremes to historical extremes in context
Strong stocks may hold near overbought zones longer
Pullbacks to zero in strong uptrends often provide low-risk entries
Works on all timeframes and instruments (stocks, crypto, forex, commodities)
Credit: Inspired by the Deepvue Relative Measured Extension indicator
Supertrend Cloud ProSupertrend Cloud Pro is a next-generation trend + breakout system designed for traders who want clean structure, early breakout confirmation, and disciplined exits.
The strategy combines Fast + Slow Supertrend layers, a dynamic cloud compression model , and a breakout-based entry engine to deliver clarity in trending as well as contracting markets.
How It Works
1. Dual Supertrend Structure (Fast + Slow)
Fast ST reacts quickly to volatility
Slow ST establishes dominant trend bias
Combined color logic instantly reveals market direction
Green Cloud → Bullish Trend
Red Cloud → Bearish Trend
Yellow Cloud → Compression / Squeeze Zone
2. Cloud Compression Logic
The zone between Fast/Slow Supertrend creates a structure-based “cloud.”
When price enters this zone, markets are typically preparing for expansion.
Yellow shading highlights these high-probability breakout zones.
3. Breakout Entry Engine
Long Entry : Price closes above the cloud top
Short Entry: Price closes below the cloud bottom
This avoids premature entries and filters out false noise.
4. Smart Exit Logic
Positions exit automatically when Fast or Slow Supertrend flips direction, ensuring disciplined exit and minimizing emotional decisions.
Jon Secret SauceJon Secret Sauce — Advanced Trend + Momentum Entry Signals
A premium trade-timing engine that combines MA trend confirmation, volatility filters, RSI momentum, and smart volume validation to identify high-probability long & short entries on your preferred timeframe.
Includes auto-managed exits (TP / SL / technical breakdown), professional visuals, and alert notifications so you catch the move and protect profits — without overcrowding your chart.
Dix$ons Tackle BoxDixsons Tackle Box — Multi-Tool Trend & Levels Suite (MA/EMA + VWAP + BB + Adaptive Trend Channels + Auto Fibs)
---
**Dixsons Tackle Box** is an all-in-one overlay for traders who want a clean chart with *stacked edge* instead of stacked indicators.
It combines:
* A **5-slot MA/EMA pack** with live slope % labels and MTF smoothing
* A **full VWAP engine** with event-based anchors, trend angle coloring, and VWAP bands
* **Bollinger Bands** with volatility-aware coloring and optional gradient background
* A **Short-Term & Long-Term Adaptive Trend Channel (ATC)** with automatic period detection, log-regression channels, and performance tables
* A **Dixson Auto Fibonacci suite**: ATR-based “rail” Fibs + Lookback Fibs off HH/LL, both driving a shared, fully customizable Fib bank
Everything is controlled logically by feature groups under the **“Tackle Box”** section, so you can quickly turn modules on/off and tune the tool to your style (scalp, intraday, swing, or position).
> **Important:** This is an analysis/visualization tool only. Nothing here is financial advice or an automatic trading system. Always test and manage risk yourself.
---
## 1. MA/EMA Pack — 5 Smart Averages with Slope %
**Group:** `Tackle Box` + per-slot groups `MA/EMA 1` … `MA/EMA 5`
**Main toggle:** `Enable MA's`
**Per-slot master row:** `_maRow1` … `_maRow5`
### What it does
This module gives you **five independent MA/EMA slots**, each with:
* Its own **type** (MA or EMA)
* **Length**, **color**, **line width**, and **plot style** (`Solid`, `Step`, or `Circles`)
* **Timeframe per slot** (MTF)
* Rich **label controls** (slope %, length/type text, timeframe text, etc.)
* **Label size** per slot (`tiny → huge`)
On top of that, each average has a **live slope % readout**, normalized by instrument tick size, so you can compare trend steepness across assets.
### Key features
* **Master slot row (1–5):**
In the `Tackle Box` group you have `_maRow1`–`_maRow5` toggles. These gate each slot globally, so you can quickly show/hide specific MAs without digging into each slot.
* **MTF Smoothed Mode:**
* `MTF Smoothed Mode` (on by default) makes higher-timeframe MAs **update only when the HTF bar closes (and on the last bar)**.
* That reduces the stair-stepping noise you often get when pulling HTF data onto an LTF chart, while still giving you accurate levels and a smooth, tradeable line.
* **Per-slot label text controls:**
Each MA group has toggles to control exactly what the label shows:
* `Show Label` – show/hide label entirely
* `Slope` – append slope % to the label
* `Len+Type` – show e.g. `50EMA` or `200MA`
* `TF` – show HTF name if the slot is on an MTF
* `'slope' text` – optionally include the word `slope` in the label
* **Slope % (angle) logic:**
Slope for each MA uses a normalized **“angle %” in **, based on the 1-bar change vs `syminfo.mintick`.
* Big positive values = strong uptrend
* Big negative values = strong downtrend
* Near zero = flat/neutral
This makes it easy to build rules like:
* “Only trade long if the **50EMA slope** is above +20% and price is above VWAP”
* “Take profit if slope on my faster MA collapses back toward 0.”
### Typical use
* Slot 1–2: **fast intraday EMAs** (e.g., 9 / 20 EMA)
* Slot 3–4: **structural EMAs/MAs** (e.g., 50 / 200)
* Slot 5: a **dedicated MTF trend filter** (e.g., 5-minute or 1-hour EMA on a 1-minute chart)
---
## 2. VWAP Engine + Bands — Anchor-Aware, Angle-Aware VWAP
**Group:** `Enable VWAP` + `------ VWAP Settings ------`, `Bands Settings`, `Color Settings`
### Core VWAP
* **Anchors:**
`Anchor Period` lets you choose where each VWAP reset starts:
* `Session` (day session VWAP, perfect for intraday)
* `Week`, `Month`, `Quarter`, `Year`, `Decade`, `Century`
* Corporate events: `Earnings`, `Dividends`, `Splits`
This lets you build VWAP logic around:
* **Intraday mean reversion** (Session VWAP + bands)
* **Swing anchor VWAPs** (Weekly/Monthly)
* **Event-based anchors** (earnings/dividend/split reaction)
* **Hide on DWM:**
`Hide VWAP on 1D or Above` lets you keep intraday VWAP from cluttering higher-TF charts.
* **Angle/Trend Detection:**
The VWAP engine computes a **regression slope** over each anchor segment and converts it to an **angle %**:
* `Angle Lookback (bars)` controls how many bars are used
* `Angle Trend Threshold (%)` sets the threshold where a slope is considered “trending”
With `Color VWAP by Trend` enabled:
* Uptrend > threshold → VWAP turns **trend up color** (e.g., lime)
* Downtrend < −threshold → VWAP turns **trend down color** (e.g., red)
* Inside threshold → VWAP uses a neutral color
You can also set separate **line widths** for neutral vs trend state and transparency to give a “Hull-style” visual feel.
* **VWAP Labels:**
You get a single, de-duplicated VWAP label on the last bar with:
* Optional **name** (`VWAP`)
* Optional **price** (`$xxx.xx`)
* Optional **angle %** and optional `"slope"` word
* Global **label size** for VWAP + bands
### VWAP Bands
* **Calc modes:**
`Bands Calculation Mode`:
* `Standard Deviation` – classic VWAP ± n * σ
* `Percentage` – bands as a fixed % of VWAP
* **Bands 1-3:**
Each band has:
* Visibility toggle, independent multiplier (`×`)
* Separate **upper/lower colors** per band
* Optional **fill** between upper/lower for each band
* Label toggles:
* `Show All Labels`
* `Show Band #X Label`
* `Band Labels: Show Names` (VWAP+1, VWAP-1, etc.)
* `Band Labels: Show Prices`
This lets you configure anything from a minimalist “just VWAP + 1 band” view to a full 3-band ladder.
### VWAP Highlight Fill
* **Premium/discount shading**:
Optional fill that shades:
* Region **above VWAP** when price is above (e.g., greenish)
* Region **below VWAP** when price is below (e.g., reddish)
This makes it extremely easy to see when price is trading at **premium vs discount** relative to the current anchor VWAP.
### Typical use
* Intraday scalpers: Session VWAP + 1–2 bands + highlight fill
* Swing traders: Weekly/Monthly VWAP + only the main line and label
* Event traders: Earnings-anchored VWAP, tracking post-earnings drift
---
## 3. Bollinger Bands — Volatility-Aware BB with Gradient Fill
**Group:** `Enable Bollinger Bands` + `------ Bollinger Band settings ------`
### What it adds
A clean Bollinger Band overlay designed to play nicely with the VWAP/MA stack:
* `Bollinger Bands Length` (default 20)
* `Bollinger Bands Multiplier` (default 2.0)
* `BB Basis Color` & **line width**
* Upper/lower bands colored based on **width change**:
* Expanding volatility → `BB Expanding Color`
* Contracting volatility → `BB Contracting Color`
You can also toggle:
* `Show Center Line MA Label` – prints something like `20ma` on the last bar.
* `Enable Gradient Background Fill` – draws a gradient between price and the bands:
* `Gradient Fill Up Color` for below-price fill
* `Gradient Fill Down Color` for above-price fill
### Why it’s unique here
Instead of just static bands, this implementation **flags volatility regimes** (expansion vs contraction) via color and optional gradient. That pairs nicely with ATR Fibs and VWAP:
* Use **BB contraction (squeeze)** + flat VWAP angle to anticipate breakouts.
* Use BB + VWAP bands to filter which “touches” are genuinely overextended.
---
## 4. Dixson Adaptive Trend Channel (ATC) — Short-Term & Long-Term Log Channels
**Master toggle:** `Enable Adaptive Trend Channel`
**Groups:** `------ Dixson ATC Settings ------`, `Short-Term Channel Settings`, `Long-Term Channel Settings`, `Short-Term Midline Settings`, `Long-Term Midline Settings`, `Channel Trend Background Fill Settings`, `Short-Term Table Settings`, `Long-Term Table Settings`
### Under the hood
ATC is a **log-scale regression channel engine** that automatically:
1. Scans a set of candidate periods.
* **Short-term:** 20 → 200 bars
* **Long-term:** 300 → 1200 bars
2. For each period, it computes:
* Log-price regression slope & intercept
* Standard deviation of residuals
* A Pearson-style R value (trend “strength”)
3. Picks the period with the **highest correlation (|R|)** and uses that as the **detected trend length**.
This yields a **data-driven channel** that adapts to whatever trend the market is actually respecting.
> For long-term stats, annualized return only makes sense on **daily/weekly** charts. On intraday charts, treat the “Annual Return” purely as informational.
### Short-Term Channel
Controls in `Short-Term Channel Settings` + `Short-Term Midline Settings`:
* `Show Short-Term Channel` – on/off
* `Deviation Multiplier (Short-Term)` – how wide the channel is (in standard deviations)
* **Upper/Lower colors**, line width, style (Solid/Dotted/Dashed), transparency
* `Line Extension Style` – Extend Right / Extend Both / Extend None / Extend Left
Optional **Short-Term Midline**:
* Toggle + color, style, width, transparency
* Tracks the regression line itself (center of the channel)
Background fill:
* `Enable ST Background Fill` with separate **ST Uptrend** / **ST Downtrend** colors
* Trend direction is inferred from regression slope sign
### Long-Term Channel
Mirrors the ST controls with its own group:
* `Show Long-Term Channel`
* `Deviation Multiplier (Long-Term)`
* Upper/Lower channel colors, thickness, style, transparency
* `Line Extension Style`
* Optional Long-Term midline + colors/styles
* Optional **background fill** with separate colors for up vs down
You can run **both channels at once**, giving a panel of:
* **Macro trend structure** (Long-Term ATC)
* **Current swing trend** (Short-Term ATC)
* MAs, VWAP, and Auto Fibs on top for entries/exits
### Trend Info Tables
Each channel has its own table options:
* `Show Detected Period` (bars used)
* `Show Trend Strength` – either:
* Descriptive text: “Extremely Weak” → “Ultra Strong”, or
* Raw Pearson R value if `Show Pearson R` is enabled
* `Show Annualized Return` (when timeframe is daily/weekly)
* Table position (`Top Left`, `Bottom Right`, etc.)
* Text size (`Small`, `Normal`, `Large`)
These tables quantify:
* Over what lookback the trend is being measured
* How “clean” that trend is
* What the approximate annualized performance of that trend has been
---
## 5. Dixson Auto Fibonacci Suite — ATR Fibs + Lookback Fibs + Shared Fib Bank
**Master toggle:** `Enable Auto Fibonacci`
**Groups:** `Dixson Auto Fibonacci`, `ATR Auto Fib`, `Previous ATR Fib`, `Lookback Auto Fib`, `Lookback Anchor Overrides`, `Fibonacci Levels`
You get **two separate engines** (ATR-based and Lookback-based) that both draw from the **same customizable Fib bank**, with optional log scaling.
---
### 5.1 Global Auto Fib Settings
* `Logarithmic Scale`
* When ON, Fib levels are interpolated in log-space (better for assets that move in percentages).
* When OFF, interpolation is linear in price.
This applies to **both** the ATR and Lookback engines.
---
### 5.2 ATR Auto Fib (Rail-Based, Supertrend-Driven)
**Groups:** `ATR Auto Fib`, `Previous ATR Fib`
The ATR engine builds **“rails”** that hug price without letting candles touch them, then projects Fib levels between these anchors.
#### How it works
1. Uses built-in `ta.supertrend` with:
* `ATR Period`
* `ATR Multiplier`
2. Builds dynamic **upper and lower rails** around price:
* Uses ATR to define a **proximity gap** (`Proximity (×ATR)`) so rails stay **just outside the wicks** (no-touch behavior).
* Smooths raw highs/lows slightly (RMA) to avoid spiky rails.
* Ensures the upper rail is always ≥ high+gap and lower rail ≤ low−gap.
3. The **direction** (uptrend/downtrend) is inferred from the Supertrend direction:
* On trend flips, the script:
* Captures the prior rail pair as a **“previous segment”**
* Starts a new rail segment in the new direction
4. From these rails, the script draws **directional Fib “ladders”**:
* For the **current ATR Fib**:
* The Fib is drawn from one anchor to the other depending on the trend sign.
* Rays are projected `Ray Length` bars to the right of `Current Offset`.
* For the **previous ATR Fib**:
* The last completed segment’s start/end rails are used as anchors
* Rays are projected using `Prev Fib Offset` and `Prev Fib Length`
#### Current ATR Fib controls
* `Enable ATR Fib` – toggles current ATR Fib bank
* `ATR Period`, `ATR Multiplier` – control the “engine” behind the rails and ST logic
* `Current Offset`, `Ray Length` – where and how far rays are drawn
* `Show Level Text`, `Show Price`, `Display % not ratio` – label style
* `Label Size (Current ATR Fib)` – for all current ATR Fib labels
Visual extras:
* `Plot Hi/Low Anchor Lines` – shows upper/lower rails
* `Plot ATR Trailing Stop` – shows clamped Supertrend as a continuous line
#### Previous ATR Fib controls
* `Enable Prev ATR Fib` – toggles previous segment ladders
* Independent `Prev Fib Offset`, `Prev Fib Length`
* Separate label controls:
* `Show Level Text (Prev)`
* `Show Price (Prev)`
* `Display % not ratio (Prev)`
* `Label Size (Previous ATR Fib)`
Use the **current ATR Fib** as your active trading “ladder” and the **previous ATR Fib** to track recently broken structure and potential retest zones.
---
### 5.3 Lookback Auto Fib — HH/LL-Driven Fib Bank, MTF + Manual Overrides
**Group:** `Lookback Auto Fib` + `Lookback Anchor Overrides`
This engine draws Fibs between **highest high** and **lowest low** within a given lookback window on a chosen timeframe.
#### How it works
1. Select higher timeframe:
* `Lookback Timeframe` (empty = chart timeframe)
2. Choose your range:
* `Lookback Bars` – number of bars on the selected TF to scan for extremes
3. Optionally allow look-ahead:
* `Look-ahead Bars (repainting)`
* `0` = no look-ahead (no forward info, no repainting)
* `>0` = uses `barmerge.lookahead_on` for forward-looking extremes (can repaint)
4. For that range, the script finds:
* Highest high + its bar offset
* Lowest low + its bar offset
5. Trend direction is determined by **which extreme is more recent**:
* Recent high → **down** direction (high → low)
* Recent low → **up** direction (low → high)
6. Manual direction overrides:
* `Force Uptrend` / `Force Downtrend` – override the auto decision
7. Manual anchor overrides:
* `Manual Anchor High (LB)`
* `Manual Anchor Low (LB)`
If both are set, those become the anchors and direction is deduced from which is higher.
8. The engine then draws a **directional Fib ladder**:
* Anchors between high/low based on direction
* Rays extend `Lookback Fib Length` bars from `Lookback Fib Offset`
#### Label controls
* `Show Level Text`, `Show Price`, `Display % not ratio`
* `Label Size (Lookback Fib)`
* Labels are prefixed with `LB` to distinguish them from ATR Fibs.
This engine is ideal for:
* **Swing structure mapping:** Drawing Fibs across the last major swing on the HTF.
* **Confluence:** Aligning Lookback Fibs with ATR Fibs, ATC channel boundaries, and VWAP bands.
---
### 5.4 Shared Fibonacci Levels — Fully Custom Fib Bank for Both Engines
**Group:** `Fibonacci Levels`
The ATR and Lookback engines **both** use the same Fib bank:
* **Ratios provided by default:**
* 0.000
* 0.146
* 0.236
* 0.382
* 0.500
* 0.618
* 0.650
* 0.707
* 0.786
* 0.886
* 1.000
* 1.130
* 1.272
* 1.618
* 2.000
Each ratio has its own:
* `Enable Level X.XXX`
* `Level X.XXX` (the actual ratio – fully editable)
* `Thickness X.XXX` (line width)
* `Style X.XXX` (Solid / Dashed / Dotted)
* `Color X.XXX` (line + label color)
Adjusting a level here **instantly updates both** ATR and Lookback ladders. This makes it very easy to:
* Run “standard” Fib sets for classic retracements
* Or define your **own Fib presets** (e.g., 0.25 / 0.5 / 0.75, or custom extension clusters)
---
## How to Use & Suggested Workflows
**Scalpers / 0DTE / Intraday:**
* Enable:
* MA/EMA pack (fast EMAs + one MTF slot)
* VWAP (Session anchor) + 1–2 VWAP bands + highlight fill
* ATR Auto Fib (current + previous)
* Optionally hide:
* Lookback Fibs
* Long-Term ATC (unless you want HTF bias on your intraday chart)
Use slope labels, VWAP angle %, and ATR Fib ladders to structure trades around pullbacks, mean reversion, and breakouts.
**Swing / Position traders:**
* Turn on:
* Long-Term ATC (with table)
* Short-Term ATC for swing structure
* Lookback Auto Fib on a higher timeframe (e.g., D on 4H chart)
* Keep VWAP anchored to Week or Month, and MA slots for key reference MAs.
Use ATC channels for **trend structure**, Lookback Fibs for **swing levels**, and long VWAPs for **value zones**.
---
## Final Notes & Disclaimer
* Works on **all symbols** and **all timeframes**, but some stats (like “Annualized Return”) are only meaningful on **daily/weekly** data.
* Some options (like Look-ahead mode for Lookback Fibs) can **repaint** on purpose. These are clearly labeled — use them only if you understand and want forward-looking behavior.
* This script does **not** place trades. It is a visual / analytical tool only.
* Nothing in this indicator or description is financial advice. Always do your own research, forward-test, and manage risk appropriately.
If you have **invite-only access** to **Dixsons Tackle Box**, you’re getting the full Dixson overlay stack in one place — designed to be the central “hub” for your chart, not just another line on it.
Yesterday Low LineTraces a red dotted line on the low of yesterdays session for the present graph - and extends into the future
Helix Protocol 7HELIX PROTOCOL 7
Overview
Helix Protocol 7 is an advanced trend-adaptive signal engine that dynamically adjusts its buy/sell thresholds based on real-time market regime detection. Unlike static indicators that use fixed overbought/oversold levels, Helix 7 recognizes that optimal entry and exit points shift dramatically depending on whether the market is trending strongly, ranging, or reversing.
The indicator fuses multiple analytical frameworks—momentum oscillators, trend strength metrics, volatility analysis, volume confirmation, and price structure—into a unified signal system that adapts to changing market conditions in real-time.
Core Philosophy
"Don't fight the trend—adapt to it."
In a strong uptrend, you want to buy dips early (before extreme oversold) and let winners run longer
In a downtrend, you want to sell bounces quickly and only buy true capitulation
In a neutral/ranging market, standard overbought/oversold levels apply
Helix Protocol 7 automatically detects which regime you're in and applies the appropriate thresholds.
Key Features
🔄 Trend-Adaptive Signal Thresholds
The indicator classifies markets into four states and adjusts Fisher Transform and RSI thresholds accordingly:
Trend StateDetection CriteriaBUY TriggersSELL TriggersSTRONG UPTRENDADX rising, ADX > 25, +DI > -DIFisher < 1.0, RSI < 50Fisher > 2.5, RSI > 70STRONG DOWNTRENDADX rising, ADX > 25, -DI > +DIFisher < -2.5, RSI < 25Fisher > 1.5, RSI > 60WEAK DOWNTRENDADX falling, -DI > +DIFisher < -2.5, RSI < 25Fisher > 1.5, RSI > 60NEUTRALDefault fallbackFisher < -2.0, RSI < 30Fisher > 2.0, RSI > 65
📊 Dynamic Envelope Bands
Adaptive bands that expand and contract based on:
ATR (Average True Range) - Base volatility measure
ADX (Trend Strength) - Bands widen in strong trends
Chaikin Oscillator - Volume-weighted band adjustment
🎯 Multi-Trigger Signal System
Signals can fire from multiple sources:
Trend-Based Signals - Fisher + RSI thresholds met for current regime
Band Touch Signals - Price touches upper/lower band (support/resistance)
EXTREME Signals - Price penetrates band by significant amount (bypasses cooldown)
⚡ Extreme Move Detection
When price makes an explosive move that penetrates the band by more than 30% of ATR (configurable), the signal fires with EXTREME priority and bypasses the normal cooldown period. This ensures you never miss major reversal opportunities.
📈 GXS Scoring System
A proprietary multi-factor scoring system (-1.0 to +1.0) that weighs:
Trend Strength (30%) - ADX direction and magnitude
Momentum (25%) - RSI, MACD, Stochastic, CCI, ROC consensus
Volume (20%) - OBV trend and volume surge detection
Price Structure (15%) - Band position and volatility percentile
Price Action (10%) - Bullish/bearish candle ratio
🔀 RSI Divergence Detection
Automatically detects and displays:
Regular Bullish Divergence - Price lower low + RSI higher low (reversal up)
Regular Bearish Divergence - Price higher high + RSI lower high (reversal down)
Hidden Bullish Divergence - Trend continuation signal (uptrend)
Hidden Bearish Divergence - Trend continuation signal (downtrend)
📉 BBWP Volatility Meter
Bollinger Band Width Percentile measures current volatility relative to historical norms:
LOW (< 30%) - Volatility compression, breakout imminent
MEDIUM (30-70%) - Normal market conditions
HIGH (> 70%) - Extended volatility, potential exhaustion
Visual Components
Money Line
A dynamic centerline (Linear Regression or Weighted EMA) colored by slope:
🟢 Green - Rising (bullish momentum)
🔴 Red - Falling (bearish momentum)
🟡 Yellow - Flat (consolidation)
Envelope Cloud
Shaded region between upper and lower bands, colored by Money Line slope direction for instant trend visualization.
Signal Labels
Clear entry/exit labels showing:
Price level
Trigger type (UPTREND DIP, CAPITULATION, BAND TOUCH, EXTREME, etc.)
Color coding (Green=Buy, Red=Sell, Lime=Extreme Buy, Fuchsia=Extreme Sell)
ADX Trend Bar
Bottom indicator showing trend state:
🟢 Lime - Strong Uptrend
🔴 Red - Downtrend
🟠 Orange - Weak/Transitional (ADX 15-24)
⚪ White - Ranging (ADX < 15)
🔵 Blue - Strong trend, neutral direction
Info Panel
Real-time dashboard displaying:
Current trend state
GXS Score
Active divergences
Volatility level (BBWP)
ADX value and direction
DI Spread
Fisher Transform value
RSI value
Context-sensitive BUY/SELL thresholds for current regime
Alert System
JSON Webhook Alerts (Bot-Ready)
json{
"action": "BUY",
"symbol": "BTC/USDT",
"price": "93500.00",
"trigger": "EXTREME",
"rsi": "28.5",
"fisher": "-2.31",
"adx": "32.4",
"trend_state": "STRONG DOWN"
}
Available Alert Conditions
Buy Signal / Sell Signal
Lower Band Touch / Upper Band Touch
EXTREME Lower Band / EXTREME Upper Band
Strong Uptrend Started
Downtrend Started
Neutral Trend Started
Trend State Change
Recommended Settings
Scalping (1m-5m)
Signal Cooldown: 3-5 bars
Extreme Penetration: 0.2 (more sensitive)
ADX Length: 10-12
Swing Trading (15m-4H)
Signal Cooldown: 5-8 bars
Extreme Penetration: 0.3 (default)
ADX Length: 14 (default)
Position Trading (Daily+)
Signal Cooldown: 8-12 bars
Extreme Penetration: 0.4-0.5 (less sensitive)
ADX Length: 14-20
Input Parameters
Core Settings
Money Line Type (Linear Regression / Weighted EMA)
Money Line Length
RSI Period
Fisher Period
Dynamic Bands
ATR Period & Multiplier
Adaptive Bands toggle
Chaikin Weight
Extreme Band Penetration threshold
Trend Detection
ADX Length & Slope Lookback
Strong Trend ADX Threshold
DI Spread for Neutral detection
Signal Thresholds (by Trend State)
Fully customizable Fisher/RSI/ADX levels for each regime
Separate BUY and SELL parameters
Display Options
Toggle bands, cloud, labels, panels
Cooldown period
Debug panel for troubleshooting
Best Practices
Confirm with price action - Signals are high-probability setups, not guarantees
Respect the trend state - The panel shows current thresholds for a reason
Watch for EXTREME signals - These indicate significant reversals
Use divergences as confluence - Especially powerful at band touches
Monitor volatility - Low BBWP often precedes big moves
Version: 7.0
Author: ralis24
Markov ProjectionThe idea here is to provide mobile S/R through Markov chaining. Definitely not a reversion to the mean trading system, or a trading system of any sort. More like an error bounded future price envelope that dramatically overshoots projected price in the direction it's moving in while just barely failing price bounding in the opposite direction. So in an uptrend, it'll overshoot the top while the bottom pokes out a bit and vice versa. Looks rather pretty. You'll have to adjust transparency settings. Happy hunting.
Bifurcation Early WarningBifurcation Early Warning (BEW) — Chaos Theory Regime Detection
OVERVIEW
The Bifurcation Early Warning indicator applies principles from chaos theory and complex systems research to detect when markets are approaching critical transition points — moments where the current regime is likely to break down and shift to a new state.
Unlike momentum or trend indicators that tell you what is happening, BEW tells you when something is about to change. It provides early warning of regime shifts before they occur, giving traders time to prepare for increased volatility or trend reversals.
THE SCIENCE BEHIND IT
In complex systems (weather, ecosystems, financial markets), major transitions don't happen randomly. Research has identified three universal warning signals that precede critical transitions:
1. Critical Slowing Down
As a system approaches a tipping point, it becomes "sluggish" — small perturbations take longer to decay. In markets, this manifests as rising autocorrelation in returns.
2. Variance Amplification
Short-term volatility begins expanding relative to longer-term baselines as the system destabilizes.
3. Flickering
The system oscillates between two potential states before committing to one — visible as increased crossing of mean levels.
BEW combines all three signals into a single composite score.
COMPONENTS
AR(1) Coefficient — Critical Slowing Down (Blue)
Measures lag-1 autocorrelation of returns over a rolling window.
• Rising toward 1.0: Market becoming "sticky," slow to mean-revert — transition approaching
• Low values (<0.3): Normal mean-reverting behavior, stable regime
Variance Ratio (Purple)
Compares short-term variance to long-term variance.
• Above 1.5: Short-term volatility expanding — energy building before a move
• Near 1.0: Volatility stable, no unusual pressure
Flicker Count (Yellow/Teal)
Counts state changes (crossings of the dynamic mean) within the lookback period.
• High count: Market oscillating between states — indecision before commitment
• Low count: Price firmly in one regime
INTERPRETING THE BEW SCORE
0–50 (STABLE): Normal market conditions. Existing strategies should perform as expected.
50–70 (WARNING): Elevated instability detected. Consider reducing exposure or tightening risk parameters.
70–85 (DANGER): High probability of regime change. Avoid initiating new positions; widen stops on existing ones.
85+ (CRITICAL): Bifurcation likely imminent or in progress. Expect large, potentially unpredictable moves.
HOW TO USE
As a Regime Filter
• BEW < 50: Normal trading conditions — apply your standard strategies
• BEW > 60: Elevated caution — reduce position sizes, avoid mean-reversion plays
• BEW > 80: High alert — consider staying flat or hedging existing positions
As a Preparation Signal
BEW tells you when to pay attention, not which direction. When readings elevate:
• Watch for confirmation from volume, order flow, or other directional indicators
• Prepare for breakout scenarios in either direction
• Adjust take-profit and stop-loss distances for larger moves
For Volatility Adjustment
High BEW periods correlate with larger candles. Use this to:
• Widen stops during elevated readings
• Adjust position sizing inversely to BEW score
• Set more ambitious profit targets when entering during high-BEW breakouts
Divergence Analysis
• Price making new highs/lows while BEW stays low: Trend likely to continue smoothly
• Price consolidating while BEW rises: Breakout incoming — direction uncertain but move will be significant
SETTINGS GUIDE
Core Settings
• Lookback Period: General reference period (default: 50)
• Source: Price source for calculations (default: close)
Critical Slowing Down (AR1)
• AR(1) Calculation Period: Bars used for autocorrelation (default: 100). Higher = smoother, slower.
• AR(1) Warning Threshold: Level at which AR(1) is considered elevated (default: 0.85)
Variance Growth
• Variance Short Period: Fast variance window (default: 20)
• Variance Long Period: Slow variance window (default: 100)
• Variance Ratio Threshold: Level for maximum score contribution (default: 1.5)
Regime Flickering
• Flicker Detection Period: Window for counting state changes (default: 20)
• Flicker Bandwidth: ATR multiplier for state detection — lower = more sensitive (default: 0.5)
• Flicker Count Threshold: Number of crossings for maximum score (default: 4)
TIMEFRAME RECOMMENDATIONS
• 5m–15m: Use shorter periods (AR: 30–50, Var: 10/50). Expect more noise.
• 1H: Balanced performance with default or slightly extended settings (AR: 100, Var: 20/100).
• 4H–Daily: Extend periods further (AR: 100–150, Var: 30/150). Cleaner signals, less frequent.
ALERTS
Three alert conditions are included:
• BEW Warning: Score crosses above 50
• BEW Danger: Score crosses above 70
• BEW Critical: Score crosses above 85
LIMITATIONS
• No directional bias: BEW detects instability, not direction. Combine with trend or momentum indicators.
• Not a timing tool: Elevated readings may persist for several bars before the actual move.
• Parameter sensitive: Optimal settings vary by asset and timeframe. Backtest before live use.
• Leading indicator trade-off: Early warning means some false positives are inevitable.
CREDITS
Inspired by research on early warning signals in complex systems:
• Dakos et al. (2012) — "Methods for detecting early warnings of critical transitions"
DISCLAIMER
This indicator is for educational and informational purposes only. It does not constitute financial advice. Past performance is not indicative of future results. Always conduct your own analysis and risk management. Use at your own risk.
Quantrader📊 Overview
This custom indicator combines intraday session analysis with multi-timeframe trend confirmation to identify high-probability trading opportunities. It features:
Custom intraday session tracking (GMT+7 timezone)
Multi-level moving average confluence (SMA 20, 100, 200)
Bollinger Bands mean reversion signals
Key intraday reference levels
⚙️ Core Components
1. Custom Intraday Session Tracking
Session Start: 7:00 AM GMT+7 (Vietnamese market open)
Calculates per session:
Intraday High/Low (resets at 7:00 AM daily)
Intraday Midline = (Session High + Session Low) / 2
Pre-Day Center = Previous day's midline (carried forward)
Open Day = First 15-minute candle's open price
2. Trend Analysis Framework
SMA 20 (Short-term momentum)
SMA 100 (Medium-term trend)
SMA 200 (Long-term trend direction)
Bollinger Bands (20-period, 2 standard deviations)
3. Signal Detection Logic
Bullish Mean Reversion Setup:
javascript
Condition 1: Green candle closes ABOVE Upper Bollinger Band
Condition 2: Following candle is ALSO green
→ Triggers: Green highlight + Triangle below bar
Bearish Mean Reversion Setup:
javascript
Condition 1: Red candle closes BELOW Lower Bollinger Band
Condition 2: Following candle is ALSO red
→ Triggers: Red highlight + Triangle above bar
🎯 Visual Elements
Element Color Description
Intraday Midline Blue Real-time session midpoint
Pre-Day Center Yellow Yesterday's midline (reference)
Open Day Purple (dashed) Day's opening price
SMA 20 Red Short-term trend
SMA 100 Green Medium-term trend
SMA 200 Orange Long-term trend
Bollinger Bands Red/Green/Blue Volatility boundaries
Bull Signal Green triangle ↓ Oversold bounce potential
Bear Signal Red triangle ↑ Overbought rejection potential
📈 Trading Applications
1. Trend Confirmation
Bullish Alignment: Price > All SMAs + Above Intraday Midline
Bearish Alignment: Price < All SMAs + Below Intraday Midline
2. Mean Reversion Opportunities
Overbought Scenario: Consecutive green candles above Upper BB → Potential reversal
Oversold Scenario: Consecutive red candles below Lower BB → Potential bounce
3. Intraday Level Trading
Intraday Midline: Dynamic support/resistance
Pre-Day Center: Psychological reference level
Open Day: Key opening price level
⚡ Key Features
Automatic Session Reset: Daily at 7:00 AM GMT+7
Multi-Timeframe Confluence: Combines intraday, daily, and trend analysis
Clean Visual Design: Non-cluttered, focused on key levels
Real-Time Calculation: All levels update with each new candle
🛠️ Recommended Settings
Timeframe: 15-minute to 1-hour charts
Markets: Forex, Indices, Commodities
Best Pairs: EURUSD, XAUUSD, VN30, USDJPY
Trading Style: Swing trading, Day trading
📖 Usage Tips
Trend Trading: Enter in direction of SMA alignment (20 > 100 > 200 for bullish)
Mean Reversion: Use BB signals at key intraday levels (Midline, Pre-Day Center)
Confirmation: Wait for candle close above/below key levels
Risk Management: Place stops beyond opposite intraday extreme
🎨 Customization Options
Users can modify:
Session start time (line 6)
Bollinger Band parameters (length, multiplier)
SMA periods
Color schemes
Nexural QWAPQWAP - Quantitative Weighted Average Price with True Order Flow Analysis
INTRODUCTION
This is legit one of the best indicators I can possibly make. Since I don't have access to tick data on tradingview I can't claim it's as accurate as possible but it is a very polished indicator for VWAP based trading and the bands are VERY useful for mean reverting trading.
QWAP Elite is an advanced Volume Weighted Average Price indicator that incorporates true order flow analysis through intrabar data decomposition. Unlike traditional VWAP indicators that simply calculate price multiplied by volume divided by total volume, this indicator attempts to identify the directional intent behind that volume by analyzing whether buying or selling pressure dominated each bar at a granular level.
The fundamental premise of this indicator is that not all volume is created equal. A bar with 10000 contracts where 8000 were aggressive buyers tells a very different story than a bar with 10000 contracts where 8000 were aggressive sellers, even if both bars close at the same price. Traditional VWAP treats these identically. QWAP attempts to weight the VWAP calculation based on this directional flow information.
This indicator was designed for traders who believe that institutional order flow leaves detectable footprints in price and volume data, and that identifying these footprints can provide an edge in determining likely future price direction. It is not a holy grail and it is not a replacement for proper risk management and trading discipline.
HOW THE INDICATOR WORKS
The True CVD Engine
The core of this indicator is its Cumulative Volume Delta calculation. Most indicators on TradingView approximate buying and selling volume by looking at whether a bar closed higher or lower than it opened. If the bar closed green, they assign all volume as buying volume. If it closed red, they assign all volume as selling volume. This is a crude approximation that misses significant nuance.
QWAP Elite uses the request security lower tf function to pull actual intrabar data. This means if you are on a 5 minute chart, the indicator is looking at the individual ticks or smaller timeframe bars that occurred within that 5 minute period. It then calculates how much volume occurred on up moves versus down moves within that bar, giving a much more accurate picture of whether buyers or sellers were more aggressive.
The Delta Ratio is calculated as the net delta divided by total volume, resulting in a value between negative one and positive one. A value of positive 0.6 means that 80 percent of volume was buying and 20 percent was selling. A value of negative 0.4 means that 70 percent was selling and 30 percent was buying. This ratio is then used to weight the VWAP calculation.
The intrabar precision is displayed in the dashboard as the number of bars analyzed. More bars means more granular data and theoretically more accurate delta calculation. The indicator automatically selects an appropriate lower timeframe based on your chart timeframe to balance accuracy with computational performance.
VIX Integration and Volatility Intelligence
The indicator pulls live VIX data and uses it to adjust its calculations dynamically. The VIX or CBOE Volatility Index represents the market expectation of 30 day forward looking volatility derived from SP500 option prices. When VIX is elevated, markets behave differently than when VIX is compressed.
Specifically, the indicator uses VIX to adjust the standard deviation bands around VWAP. In high volatility environments where VIX is above 25 or 30, the bands automatically widen to account for larger price swings. In low volatility environments where VIX is below 15, the bands tighten. This prevents false signals that would occur if static band widths were used across all market conditions.
The indicator also pulls VVIX which is the volatility of the VIX itself and VIX9D which is the 9 day VIX. By comparing VIX to VIX9D, the indicator can identify term structure conditions. When short term VIX is higher than longer term VIX, this is called backwardation and often indicates fear or stress in the market. When short term VIX is lower, this is contango and indicates complacency.
The VIX regime classification in the dashboard shows CALM when VIX is below 12, NORMAL between 12 and 20, ELEVATED between 20 and 30, and FEAR when above 30. Each regime suggests different trading approaches and position sizing considerations.
DETECTION SYSTEMS
Absorption Detection
Absorption occurs when large volume enters the market but price barely moves. This happens when one side is absorbing all the aggression from the other side. For example, if aggressive sellers are hitting the bid repeatedly but price is not dropping, it suggests there is a large buyer absorbing all that selling pressure. This often precedes reversals.
The indicator detects absorption by looking for bars with above average volume, below average range, and high wick ratios. A high wick ratio means the bar has long wicks relative to its body, indicating price moved but was pushed back. When these conditions coincide with strong delta in one direction, it suggests institutional absorption.
Liquidity Sweep Detection
Liquidity sweeps, also known as stop hunts, occur when price briefly exceeds a recent high or low to trigger stop losses, then reverses. Large traders need liquidity to fill their orders, and stops clustered above swing highs or below swing lows represent pools of liquidity they can tap into.
The indicator identifies sweeps by detecting when price exceeds the 5 or 20 bar high or low but closes back inside. A bull trap is identified when price sweeps above recent highs but closes below them, suggesting sellers trapped buyers who bought the breakout. A bear trap is the opposite, where price sweeps lows but closes above, trapping shorts.
Sweep detection is most useful when combined with delta analysis. A sweep with strong opposing delta, meaning price swept highs but delta was heavily negative, is a higher probability reversal signal than a sweep alone.
CVD Divergence Detection
Divergence between price and cumulative delta is one of the most reliable signals the indicator produces. When price is making higher highs but cumulative delta is making lower highs, it suggests that buying pressure is weakening even though price is still rising. This bearish divergence often precedes pullbacks or reversals.
Conversely, bullish divergence occurs when price makes lower lows but cumulative delta makes higher lows. This suggests that even though price is dropping, buying pressure is actually increasing, and sellers may be exhausted. These divergences are calculated over a 5 bar lookback period.
Stacked Imbalance Detection
Stacked imbalances occur when there are three or more consecutive bars with strong delta in the same direction. This represents sustained aggressive positioning by one side of the market. Three consecutive bars with delta above 0.5 suggests aggressive institutional buying. Three consecutive bars below negative 0.5 suggests aggressive institutional selling.
The count of consecutive imbalanced bars is displayed in the detection section. Four or more stacked imbalances is considered highly significant. This pattern often precedes continuation moves in the direction of the imbalance, as it suggests a committed directional player has entered the market.
Institutional Flow Detection
The indicator attempts to identify institutional activity by looking for the convergence of multiple factors. Specifically, it requires strong delta above 0.5 or below negative 0.5, volume persistence across multiple bars meaning above average volume for at least 2 to 3 bars in a row, and delta persistence meaning delta in the same direction for multiple consecutive bars.
When these factors align, the dashboard displays INST BUY or INST SELL instead of RETAIL. This classification should be viewed as a probability estimate rather than a certainty. Retail traders can produce similar patterns, and institutions can hide their activity. The designation is meant to highlight periods where the characteristics of flow are consistent with larger players.
ADAPTIVE WEIGHT SYSTEM
The indicator includes an adaptive system that automatically adjusts how much weight the CVD analysis has on the VWAP calculation. In quiet, low volatility markets, the CVD weight is reduced because the signal to noise ratio is lower. In active, high volatility markets with clear directional flow, the weight is increased.
The adaptation considers multiple factors including VIX regime, delta clarity meaning how strong and consistent the delta readings are, volume persistence, and time of day session weighting. The current adaptive weight is displayed in the dashboard and typically ranges from 0.05 to 0.50.
The adaptation speed setting controls how quickly the weight responds to changing conditions. A higher speed means faster adaptation but potentially more noise. A lower speed means smoother adaptation but potentially slower response to regime changes.
SESSION AWARENESS
Not all trading hours are equal. The indicator applies different weights to different trading sessions based on typical liquidity and reliability patterns. The open drive, which covers 9 30 to 10 30 AM Eastern time, receives a 1.4x weight multiplier because this is typically the highest volume and most directionally significant period of the day.
Power hour from 3 00 to 4 00 PM Eastern receives a 1.3x multiplier as institutional traders often execute their daily positioning in this final hour. The lunch hour from 11 00 AM to 2 00 PM receives a 0.9x multiplier due to typically lower volume and more choppy price action. Premarket receives 0.7x and after hours receives 0.5x due to thin liquidity and unreliable signals.
The current session is displayed in the dashboard header. Traders should consider reducing position sizes and widening stops during lower weight sessions, particularly premarket and after hours where the indicator readings are less reliable.
COMPOSITE SCORES
Bias Score
The Bias Score ranges from negative 100 to positive 100 and represents the indicators overall directional lean. It synthesizes delta analysis, VWAP momentum, and multi-timeframe confluence into a single number. A score above 50 indicates strong bullish bias. A score below negative 50 indicates strong bearish bias. Scores between negative 20 and positive 20 are considered neutral.
The visual bias meter in the dashboard shows this score as a bar that leans left for bearish or right for bullish. This provides an at a glance summary of the indicators current directional reading without needing to interpret multiple individual metrics.
Setup Quality Score
The Setup Quality Score ranges from 0 to 100 and measures how many factors are aligning to support a potential trade. It awards points for strong delta readings, volume persistence, multi-timeframe confluence, detection events like absorption or divergence, and favorable session timing. A score above 60 suggests multiple factors are confirming. A score below 30 suggests the setup lacks confirmation.
This score is designed to help traders filter trades. Rather than acting on every signal, traders can set a minimum quality threshold. For example, only taking trades when quality is above 50 will filter out lower probability setups. Higher thresholds mean fewer trades but potentially higher win rates.
Heat Score
The Heat Score measures overall market activity intensity and ranges from 0 to 100. It combines volume heat meaning how elevated current volume is relative to average, volatility heat based on ATR expansion or VIX levels, delta heat meaning how strong the current delta reading is, and deviation heat meaning how far price is from VWAP.
Markets with heat above 75 are classified as EXTREME and typically represent high opportunity but also high risk environments. Heat between 50 and 75 is ACTIVE and represents good trading conditions. Heat between 25 and 50 is NORMAL. Heat below 25 is QUIET and suggests range bound conditions where mean reversion strategies may outperform trend following.
DASHBOARD GUIDE
Header Row
The header row displays QWAP with a lightning bolt icon, the current session abbreviation like OPEN or POWER or LUNCH, the current regime classification, and VIX status with a colored indicator. Green indicates low VIX and favorable conditions. Yellow indicates elevated VIX. Red indicates high VIX or that VIX data is unavailable.
Signal Row
The signal row is the largest and most prominent element. It displays the primary signal which will be LONG, SHORT, REVERSAL, or WAIT. LONG appears when bias is strongly bullish and quality is high. SHORT appears when bias is strongly bearish and quality is high. REVERSAL appears when divergence or absorption is detected at an extreme sigma level. WAIT appears when conditions do not meet the threshold for a signal.
Next to the signal is the quality score displayed as Q followed by a number out of 100. This helps traders quickly assess how confirmed the signal is. A LONG signal with Q 72 is more compelling than a LONG signal with Q 45.
Order Flow Section
The delta row shows the current delta direction as BUY or SELL, the percentage strength, a visual indicator of strength with filled or empty circles, and an arrow indicating whether delta is accelerating or decelerating. The flow row shows whether activity is classified as INST BUY, INST SELL, or RETAIL, along with the number of intrabar data points used in the calculation.
Market Section
The heat row displays the heat score as a visual bar and numeric value. The vol row shows volatility state as EXPAND, COMPRESS, or NORMAL along with relative volume. The dist row shows distance from VWAP in sigmas and percentage, plus momentum direction.
Detection Section
This section only appears when detections are active. It displays warning icons next to detection types like BUY ABS, SELL ABS, BULL TRAP, BEAR TRAP, BULL DIV, BEAR DIV, BUY STACK, or SELL STACK. Each detection includes a score representing its strength or significance.
HOW TO USE THIS INDICATOR
Recommended Workflow
First, check the regime and session. If VIX is in FEAR mode or you are in premarket or after hours, consider reduced position sizing or waiting for better conditions.
Second, look at the primary signal and quality score. Signals with quality below 40 are low conviction. Consider requiring quality above 50 or 60 before acting.
Third, check the bias meter for overall directional lean. Ensure it aligns with your intended trade direction.
Fourth, review active detections. Absorption and divergence near VWAP bands increase reversal probability. Stacked imbalances support continuation.
Fifth, use VWAP and sigma bands for entry, stop, and target placement. The bands provide natural support and resistance levels based on statistical distribution.
Sixth, monitor for changes in delta and flow classification. Institutional activity transitioning to retail or delta reversing direction are warning signs.
TRADE EXAMPLES
Mean Reversion Setup
Price extended to 2.5 sigma above VWAP. Signal shows REVERSAL. Quality is 55. Absorption detected with BUY ABS showing score of 2.3. Delta is showing SELL at 45 percent despite price being elevated. This suggests buyers are being absorbed and a pullback to VWAP is likely. Enter short with stop above the 3 sigma band and target at VWAP or 1 sigma band.
Trend Continuation Setup
Signal shows LONG with quality 68. Bias meter shows STRONG BULL. BUY STACK detected with 4 consecutive imbalanced bars. Flow shows INST BUY. Price has pulled back to VWAP and is finding support. Heat is at 62 indicating ACTIVE conditions. Enter long on VWAP touch with stop below 1 sigma band and target at 2 sigma band.
Liquidity Sweep Setup
BEAR TRAP detected with score of 1.8. Price swept below recent lows but closed back above. Delta is showing BUY at 52 percent on the sweep bar. BULL DIV also active as price made lower low but delta made higher low. Signal shows REVERSAL with quality 58. Enter long with stop below the sweep low and target at VWAP.
HONEST ASSESSMENT OF STRENGTHS AND WEAKNESSES
Strengths
True CVD calculation using intrabar data is significantly more accurate than close greater than open approximations used by most indicators. This provides genuine insight into buying versus selling pressure.
VIX integration with term structure analysis is institutional grade thinking applied to a retail tool. Dynamic band adjustment prevents false signals in different volatility regimes.
Multiple detection systems provide different perspectives on the same market. Absorption, sweeps, divergence, and imbalances each capture different footprints of institutional activity.
Composite scores synthesize complex information into actionable numbers. Traders do not need to mentally integrate 15 different metrics. The quality score and bias score do this automatically.
Session awareness prevents trading during low quality periods. The automatic weighting helps filter out noise from premarket, after hours, and lunch periods.
Adaptive system self adjusts to market conditions. Traders do not need to manually tune parameters as volatility and activity change.
Weaknesses and Limitations
Intrabar data is still an approximation of true tick level order flow. Without actual tick data showing individual trades hitting bid versus lifting offer, even this calculation has error bars. Professional platforms like Sierra Chart or Quantower with direct exchange feeds will always have more accurate delta.
The indicator is computationally heavy. Users may experience slower chart loading particularly on lower end hardware or when viewing many bars. The optimization features help but cannot eliminate this cost entirely.
Institutional detection is probabilistic not definitive. Retail traders in aggregate can produce patterns that look institutional. Institutions can and do hide their activity. The INST BUY and INST SELL labels should be viewed as probability shifts not certainties.
The indicator works best on liquid instruments with significant volume. On thinly traded stocks or during illiquid periods, delta calculations become noisy and unreliable. The indicator is optimized for ES, NQ, SPY, QQQ, and similar high volume instruments.
VIX integration only works for US equity index products. If trading forex, crypto, or other asset classes, the VIX data is not directly applicable and should be disabled.
No indicator can predict the future. Order flow analysis shows what happened and what is happening. It cannot guarantee what will happen next. Large players can and do reverse their positioning. News events can invalidate any technical setup instantly.
The complexity of the indicator means there is a learning curve. New users may be overwhelmed by the number of metrics displayed. It takes time to develop intuition for what combinations of readings are significant.
The indicator does not include automated backtesting or historical performance statistics. Users cannot easily quantify the win rate or expected value of following its signals without manual journaling and analysis.
RISK MANAGEMENT GUIDELINES
This indicator is a tool not a trading system. It provides information that may help inform trading decisions but it does not make those decisions for you. Proper risk management is essential regardless of how compelling the indicator readings appear.
Position Sizing
Never risk more than 1 to 2 percent of your account on any single trade regardless of how high the quality score is. High quality setups still fail regularly. A setup with 70 percent win rate still loses 30 percent of the time, and those losses can come in clusters.
Consider reducing position size when VIX is in ELEVATED or FEAR regime, when trading during premarket or after hours sessions, when quality score is below 50, and when multiple detection systems are conflicting with each other.
Stop Loss Placement
The sigma bands provide natural levels for stop placement. For mean reversion trades, stops should typically be placed beyond the next sigma level. For example, if entering short at 2 sigma, place stop beyond 3 sigma. For trend trades entering at VWAP, consider stops beyond 1 sigma in the opposite direction.
Stops should also respect market structure. If there is a recent swing high or low near your calculated stop level, extend the stop beyond that swing point. Placing stops at obvious levels invites stop hunting.
In high VIX environments, consider wider stops. The VIX band multiplier automatically widens the sigma bands, and your stops should reflect this increased volatility. A stop that works in a 15 VIX environment may be too tight when VIX is 30.
Taking Profits
The sigma bands also provide natural profit targets. For mean reversion trades, VWAP itself is often the first target with the opposite 1 sigma band as an extended target. For trend trades, each sigma band can serve as a scaling point.
Pay attention to delta and flow changes as price approaches targets. If delta is weakening or flow classification shifts from institutional to retail, consider taking profits early. Conversely, if delta is strengthening into the target, consider holding for extension.
When to Avoid Trading
Consider sitting out when the signal shows WAIT and quality is below 30. In these conditions, the indicator is essentially saying there is no clear edge. Trading anyway is gambling not trading.
Avoid trading during major news events. The indicator cannot account for sudden information shocks. Economic releases, Fed announcements, earnings reports, and geopolitical events can invalidate any technical setup instantly.
Consider avoiding the first and last 5 minutes of regular trading hours. These periods often have erratic price action and unreliable delta calculations due to order imbalances at open and close.
SETTINGS REFERENCE
Core Engine Settings
VWAP Source determines what price is used for the VWAP calculation. The default HLC3 uses the average of high, low, and close which provides a balanced representation. HL2 uses just high and low average. Close uses only the closing price. Most traders should leave this at HLC3.
True CVD Engine should remain enabled for accurate order flow analysis. Disabling it falls back to close greater than open estimation which is significantly less accurate. Only disable if you are experiencing performance issues.
CVD Impact controls how much the delta analysis affects the VWAP calculation. Higher values mean delta has more influence. The default 0.2 provides a balance. Increase toward 0.5 if you want delta to have stronger effect. Decrease toward 0.1 if you want something closer to traditional VWAP.
Detection Sensitivity offers three presets. Conservative produces fewer signals but higher confidence. Balanced is the default middle ground. Aggressive produces more signals but with more false positives. New users should start with Balanced and adjust based on experience.
VIX Settings
VIX Integration should be enabled when trading US equity index products like ES, NQ, SPY, or QQQ. Disable it when trading forex, crypto, commodities, or individual stocks where VIX is not directly applicable.
VIX Symbol allows selection between VIX for SP500 volatility, VXN for Nasdaq volatility, and RVX for Russell 2000 volatility. Choose the one most relevant to your trading instrument.
VIX Baseline sets the historical average VIX level used for normalization. The default 16 represents the long term average. If trading in a persistently higher or lower VIX environment, adjusting this can help calibrate the regime classifications.
Display Settings
Dashboard Style offers three options. Compact shows only the signal and bias meter for minimal screen footprint. Elite adds order flow and market sections for balanced information. Full adds VIX details, detections, and adaptive system information for complete visibility.
FREQUENTLY ASKED QUESTIONS
Why does the indicator sometimes show WAIT when there is an obvious trend
The signal system is designed to identify high probability entry points not to constantly indicate trend direction. A strong uptrend may show WAIT because price is extended from VWAP and a pullback is likely before continuation. The indicator is trying to prevent you from buying the top of an impulse move.
Why is my delta reading different from another order flow tool
Different platforms calculate delta differently. Some use tick data. Some use time based aggregation. Some use volume based aggregation. The timeframe being analyzed matters as well. QWAP uses intrabar data which is more accurate than close versus open approximations but less accurate than true tick data from professional platforms.
Can I use this indicator for scalping
The indicator can be used on lower timeframes but becomes less reliable. On 1 minute charts, the intrabar decomposition has fewer data points to work with. For scalping, consider using 3 to 5 minute charts as a minimum. Also note that the session weighting and detection systems are calibrated for swing and intraday trading, not ultra short term scalping.
Does this indicator repaint
The VWAP line and sigma bands can adjust slightly as intrabar data comes in during a live bar. Once a bar closes, those values are fixed. The signals and detections are calculated on closed bars and do not repaint. For live trading, wait for bar close confirmation before acting on signals.
What markets does this work best on
The indicator is optimized for high liquidity US equity index products including ES, NQ, SPY, QQQ, IWM, and DIA. It can work on other liquid instruments but the VIX integration should be disabled for non equity products. Avoid using on low volume stocks or illiquid markets where delta calculations will be noisy.
DISCLAIMER
This indicator is provided for educational and informational purposes only. It is not financial advice. Past performance of any trading methodology is not indicative of future results. Trading futures, options, and other derivatives involves substantial risk of loss and is not suitable for all investors.
The creator of this indicator makes no guarantees about its accuracy or profitability. All trading decisions are the sole responsibility of the user. Before trading with real money, thoroughly test any strategy in simulation and ensure you understand the risks involved.
Order flow analysis provides information about market microstructure but cannot predict future price movements with certainty. Markets are complex adaptive systems influenced by countless variables including news events, economic data, central bank policy, geopolitical developments, and collective human psychology. No indicator can fully capture this complexity.
Use this tool as one input among many in your trading process. Combine it with sound risk management, proper position sizing, and continuous education. The best traders are those who remain humble about what they do not know and disciplined about protecting their capital.
BTC Price Prediction Model [Global PMI]V2🇺🇸 English Guide
1. Introduction
This indicator was created by GW Capital using Gemini Vibe Coding technology. It leverages advanced AI coding capabilities to reconstruct complex macroeconomic models into actionable trading tools.
2. Credits
Special thanks to the original model author, Marty Kendall. His research into the correlation between Bitcoin's price and macroeconomic factors lays the foundation for this algorithm.
3. Model Principles & Formula
This model calculates the "Fair Value" of Bitcoin based on four key macroeconomic pillars. It assumes that Bitcoin's price is a function of Global Liquidity, Network Security, Risk Appetite, and the Economic Cycle.
💡 Unique Insight: PMI & The 4-Year Cycle
A key distinguishing feature of this model is the hypothesis that Bitcoin's famous "4-Year Halving Cycle" may be intrinsically linked to the Global Business Cycle (PMI), rather than just supply shocks.
Therefore, the model incorporates PMI as a valuation "Amplifier".
Note: Due to TradingView data limitations, US PMI is currently used as the proxy for the global cycle.
The Formula
$$\ln(BTC) = \alpha + (1 + \beta \cdot PMI_{z}) \times $$
Global Liquidity (M2): Sum of M2 supply from US, China, Eurozone, and Japan (converted to USD). Represents the pool of fiat money available to flow into assets.
Network Security (Hashrate): Bitcoin's hashrate, representing the physical security and utility of the network.
Risk Appetite (S&P 500): Used as a proxy for global risk sentiment.
Economic Cycle (PMI Z-Score): US Manufacturing PMI is used to amplify or dampen the valuation based on where we are in the business cycle (Expansion vs. Contraction).
4. How to Use
The indicator plots the Fair Value (White Line) and four sentiment bands based on statistical deviation (Z-Score).
Sentiment Zones
🚨 Extreme Greed (Red Zone): Price > +0.3 StdDev. Historically indicates a market top or overheated sentiment.
⚠️ Greed (Orange Zone): Price > +0.15 StdDev. Bullish momentum is strong but caution is advised.
⚖️ Fair Value (White Line): The theoretical "correct" price based on macro data.
😨 Fear (Teal Zone): Price < -0.15 StdDev. Undervalued territory.
💎 Extreme Fear (Green Zone): Price < -0.3 StdDev. Historically a generational buying opportunity.
Sentiment Score (0-100)
100: Maximum Greed (Top)
50: Fair Value
0: Maximum Fear (Bottom)
5. Usage Recommendations
Timeframe: Daily (1D) or Weekly (1W) ONLY.
Reason: The underlying data sources (M2, PMI) are updated monthly. The S&P 500 and Hashrate are daily. Using this indicator on intraday charts (e.g., 15m, 1h, 4h) adds no value because the fundamental data does not change that fast.
Long-Term View: This is a macro-cycle indicator designed for identifying cycle tops and bottoms over months and years, not for day trading.
6. Disclaimer
This indicator is for educational and informational purposes only. It does not constitute financial advice. The model relies on historical correlations which may not hold true in the future. All trading involves risk. GW Capital and the creators assume no responsibility for any trading losses.
7. Support Us ❤️
If you find this indicator useful, please Boost 👍, Comment, and add it to your Favorites! Your support keeps us going.
🇨🇳 中文说明 (Chinese Version)
1. 简介
本指标由 GW Capital 使用 Gemini Vibe Coding 技术制作。利用先进的 AI 编程能力，将复杂的宏观经济模型重构为可执行的交易工具。
2. 致谢
特别感谢模型原作者 Marty Kendall。他对这一算法的研究奠定了基础，揭示了比特币价格与宏观经济因素之间的深层联系。
3. 模型原理与公式
该模型基于四大宏观经济支柱计算比特币的“公允价值”。它假设比特币的价格是全球流动性、网络安全性、风险偏好和经济周期的函数。
💡 独家洞察：PMI 与 4年周期
本模型的一个核心独特之处在于：我们认为比特币著名的“4年减半周期”背后的真正驱动力，可能与全球商业周期 (PMI) 高度同步，而不仅仅是供应减半。
因此，模型特别引入 PMI 作为估值的“放大器” (Amplifier)。
注：由于 TradingView 数据源限制，目前采用历史数据最详尽的美国 PMI 作为全球周期的代理指标。
模型公式
$$\ln(BTC) = \alpha + (1 + \beta \cdot PMI_{z}) \times $$
全球流动性 (M2): 美、中、欧、日四大经济体的 M2 总量（折算为美元）。代表可流入资产的法币资金池。
网络安全性 (Hashrate): 比特币全网算力，代表网络的物理安全性和实用价值。
风险偏好 (S&P 500): 作为全球风险情绪的代理指标。
经济周期 (PMI Z-Score): 美国制造业 PMI 用于根据商业周期（扩张 vs 收缩）来放大或抑制估值。
4. 指标用法
指标会在图表上绘制 公允价值 (白线) 以及基于统计偏差 (Z-Score) 的四条情绪带。
情绪区间
🚨 极度贪婪 (红色区域): 价格 > +0.3 标准差。历史上通常预示市场顶部或情绪过热。
⚠️ 一般贪婪 (橙色区域): 价格 > +0.15 标准差。多头动能强劲，但需谨慎。
⚖️ 公允价值 (白线): 基于宏观数据的理论“正确”价格。
😨 一般恐惧 (青色区域): 价格 < -0.15 标准差。进入低估区域。
💎 极度恐惧 (绿色区域): 价格 < -0.3 标准差。历史上通常是代际级别的买入机会。
情绪评分 (0-100)
100: 极度贪婪 (顶部)
50: 公允价值
0: 极度恐惧 (底部)
5. 使用建议
周期: 仅限日线 (1D) 或周线 (1W)。
原因: 底层数据源（M2, PMI）是月度更新的。标普500和算力是日度更新的。在日内图表（如15分钟、1小时、4小时）上使用此指标没有任何意义，因为基本面数据不会变化得那么快。
长期视角: 这是一个宏观周期指标，旨在识别数月甚至数年的周期顶部和底部，而非用于日内交易。
6. 免责声明
本指标仅供教育和参考使用，不构成任何财务建议。该模型依赖于历史相关性，未来可能不再适用。所有交易均涉及风险。GW Capital 及制作者不对任何交易损失承担责任。
MA + ATR Channel V2This script creates a dynamic volatility channel (similar to a Keltner Channel). It plots a central Moving Average (SMA or EMA) to represent the baseline trend and uses the Average True Range (ATR) to calculate the Upper and Lower bands. The channel automatically widens during high volatility and narrows during low volatility.
Usage
Mean Reversion: In sideways markets, prices touching the outer bands often tend to revert back to the central line.
该脚本构建了一个基于波动率的动态通道（类似肯特纳通道）。它以**移动平均线（SMA或EMA）为中轴判断趋势，并利用真实波幅（ATR）**计算通道宽度。通道范围会随市场波动加剧而变宽，随波动平缓而收窄。
用法
震荡回归： 在横盘行情中，价格触及通道边缘时，往往有回调至中轴的倾向。
Tiki TorchPlots unique FVGs in combination with bollinger bands with custom settings. When 2 consecutive FVGs plot, the torch appears! Alerts included as well.
BTC Price Prediction Model [Global PMI]🇨🇳 中文说明 (Chinese Version)
1. 简介
本指标由 GW Capital 使用 Gemini Vibe Coding 技术制作。利用先进的 AI 编程能力，将复杂的宏观经济模型重构为可执行的交易工具。
2. 致谢
特别感谢模型原作者 Marty Kendall。他对这一算法的研究奠定了基础，揭示了比特币价格与宏观经济因素之间的深层联系。
3. 模型原理与公式
该模型基于四大宏观经济支柱计算比特币的“公允价值”。它假设比特币的价格是全球流动性、网络安全性、风险偏好和经济周期的函数。
模型公式
$$\ln(BTC) = \alpha + (1 + \beta \cdot PMI_{z}) \times $$
全球流动性 (M2): 美、中、欧、日四大经济体的 M2 总量（折算为美元）。代表可流入资产的法币资金池。
网络安全性 (Hashrate): 比特币全网算力，代表网络的物理安全性和实用价值。
风险偏好 (S&P 500): 作为全球风险情绪的代理指标。
经济周期 (PMI Z-Score): 美国制造业 PMI 用于根据商业周期（扩张 vs 收缩）来放大或抑制估值。
4. 指标用法
指标会在图表上绘制 公允价值 (白线) 以及基于统计偏差 (Z-Score) 的四条情绪带。
情绪区间
🚨 极度贪婪 (红色区域): 价格 > +0.3 标准差。历史上通常预示市场顶部或情绪过热。
⚠️ 一般贪婪 (橙色区域): 价格 > +0.15 标准差。多头动能强劲，但需谨慎。
⚖️ 公允价值 (白线): 基于宏观数据的理论“正确”价格。
😨 一般恐惧 (青色区域): 价格 < -0.15 标准差。进入低估区域。
💎 极度恐惧 (绿色区域): 价格 < -0.3 标准差。历史上通常是代际级别的买入机会。
情绪评分 (0-100)
100: 极度贪婪 (顶部)
50: 公允价值
0: 极度恐惧 (底部)
5. 使用建议
周期: 仅限日线 (1D) 或周线 (1W)。
原因: 底层数据源（M2, PMI）是月度更新的。标普500和算力是日度更新的。在日内图表（如15分钟、1小时、4小时）上使用此指标没有任何意义，因为基本面数据不会变化得那么快。
长期视角: 这是一个宏观周期指标，旨在识别数月甚至数年的周期顶部和底部，而非用于日内交易。
6. 免责声明
本指标仅供教育和参考使用，不构成任何财务建议。该模型依赖于历史相关性，未来可能不再适用。所有交易均涉及风险。GW Capital 及制作者不对任何交易损失承担责任。
🇺🇸 English Guide (英文说明)
1. Introduction
This indicator was created by GW Capital using Gemini Vibe Coding technology. It leverages advanced AI coding capabilities to reconstruct complex macroeconomic models into actionable trading tools.
2. Credits
Special thanks to the original model author, Marty Kendall. His research into the correlation between Bitcoin's price and macroeconomic factors lays the foundation for this algorithm.
3. Model Principles & Formula
This model calculates the "Fair Value" of Bitcoin based on four key macroeconomic pillars. It assumes that Bitcoin's price is a function of Global Liquidity, Network Security, Risk Appetite, and the Economic Cycle.
The Formula
$$\ln(BTC) = \alpha + (1 + \beta \cdot PMI_{z}) \times $$
Global Liquidity (M2): Sum of M2 supply from US, China, Eurozone, and Japan (converted to USD). Represents the pool of fiat money available to flow into assets.
Network Security (Hashrate): Bitcoin's hashrate, representing the physical security and utility of the network.
Risk Appetite (S&P 500): Used as a proxy for global risk sentiment.
Economic Cycle (PMI Z-Score): US Manufacturing PMI is used to amplify or dampen the valuation based on where we are in the business cycle (Expansion vs. Contraction).
4. How to Use
The indicator plots the Fair Value (White Line) and four sentiment bands based on statistical deviation (Z-Score).
Sentiment Zones
🚨 Extreme Greed (Red Zone): Price > +0.3 StdDev. Historically indicates a market top or overheated sentiment.
⚠️ Greed (Orange Zone): Price > +0.15 StdDev. Bullish momentum is strong but caution is advised.
⚖️ Fair Value (White Line): The theoretical "correct" price based on macro data.
😨 Fear (Teal Zone): Price < -0.15 StdDev. Undervalued territory.
💎 Extreme Fear (Green Zone): Price < -0.3 StdDev. Historically a generational buying opportunity.
Sentiment Score (0-100)
100: Maximum Greed (Top)
50: Fair Value
0: Maximum Fear (Bottom)
5. Usage Recommendations
Timeframe: Daily (1D) or Weekly (1W) ONLY.
Reason: The underlying data sources (M2, PMI) are updated monthly. The S&P 500 and Hashrate are daily. Using this indicator on intraday charts (e.g., 15m, 1h, 4h) adds no value because the fundamental data does not change that fast.
Long-Term View: This is a macro-cycle indicator designed for identifying cycle tops and bottoms over months and years, not for day trading.
6. Disclaimer
This indicator is for educational and informational purposes only. It does not constitute financial advice. The model relies on historical correlations which may not hold true in the future. All trading involves risk. GW Capital and the creators assume no responsibility for any trading losses.
[Algo/Fract] CoreAutomate your chart analysis with fractal-based logic and multi-timeframe clarity — built for traders who value clean visual context.
Witness the Framework beneath the Market’s movement.
Every Trend starts with Structure.
Features included are:
Triple Fractal Bands (TFB)
MoneyFlow Diamonds (MFD)
MicroTrend Dots (MTD)
4D Trend Colors (4DTC)
AutoSR Grid (ASRG)
Gain Access at: www.algofract.com
or by visiting our Whop Marketplace: whop.com
Triple Screen Scalper [Pro] + Dynamic Risk Engine + Smart DCA🚀 Strategy Concept
This algorithm utilizes a Triple Screen methodology to filter market noise and align trades with the path of least resistance. Instead of relying on a single timeframe, it analyzes market structure across three distinct "horizons" to ensure high-probability execution:
The Tide (Long-Term): Analyzes the dominant directional flow and market bias on higher timeframes.
The Wave (Medium-Term): Measures the strength of the current momentum and pauses trading during weak or "choppy" market phases.
The Ripple (Short-Term): Pinpoints precise entry zones by detecting over-extended price action and mean-reversion opportunities within the larger trend.
The system is fortified with a Smart DCA (Dollar Cost Averaging) Engine that adapts to volatility. It does not blindly add to positions; it calculates "Risk Room" and "Trend Stability" before every additional entry, ensuring capital is deployed efficiently rather than recklessly.
⚙️ Configuration Guide (Variable Explanations)
💰 Position & Leverage
Trade Direction: Choose between Long, Short, or Auto. In "Auto," the system trades both directions based on the dominant trend.
Target Entry Leverage (x): The desired leverage for your initial entry.
Base Order Size (% of Equity): How much of your account balance is allocated to the very first trade of a sequence.
DCA Size Multiplier: Controls how much larger each subsequent order is compared to the previous one. A value of 1.0 means flat sizing; values above 1.0 increase the size of recovery orders.
KILL SWITCH: Max Effective Lev: A safety ceiling. If your total position's effective leverage exceeds this value, the strategy will force-close the position to prevent liquidation.
🚀 Profit Settings (Dynamic Exits)
Use Dynamic Profit?: If enabled, the take-profit target acts like a breathing lung—expanding during high volatility (to catch bigger moves) and contracting during quiet periods.
Gain Volatility Length: The lookback period used to measure recent market volatility.
Gain Multiplier: Scales the profit target. Higher numbers require a larger price move to hit profit; lower numbers take profit sooner.
Minimum Profit Floor %: A hard limit ensuring the target never drops below this percentage, even in extremely low-volatility markets.
📉 Trend & Momentum Filters
Trend Strength Threshold: Defines the minimum "velocity" required to trade. This filters out flat, ranging markets where trends are not established.
Momentum Sensitivity (K/D/Smooth): These variables tune the sensitivity of the entry trigger.
Lower numbers = Faster entries (more trades, potentially more noise).
Higher numbers = Slower, more confirmed entries.
Overbought / Oversold Levels: The specific zones (0-100) where price is considered statistically over-extended, triggering a reversal signal.
🛡️ Risk & DCA Settings
Enable Hard Stop Loss: A traditional safety stop based on a fixed percentage.
Max DCA Orders: The maximum number of times the strategy is allowed to "average down" on a position.
Require Trend for DCA?: If TRUE, the strategy will only add to a losing position if the broader market trend is still valid. If the trend breaks, it stops buying.
DCA Volatility Length/Multiplier: Controls the spacing between buy orders.
High Multiplier = Orders are spread far apart (safer for crashes).
Low Multiplier = Orders are closer together (faster recovery in normal dips).
Risk Scaling: A unique feature that pushes DCA orders further away as your leverage increases, protecting you from adding too much risk too quickly.
Base DCA %: The minimum distance required between orders, regardless of volatility.
⏱️ Timers & Cooldowns
Fast / Slow Cooldown: The minimum time (in seconds) the strategy must wait between realizing a profit and opening a new trade. This prevents "revenge trading" or entering twice on the same candle.
Position Cooldown: A specific timer applied after a large position is closed to let the market settle.
🎯 Daily S/R Targets
Enable Daily S/R: If enabled, the strategy will attempt to "snipe" exits at calculated daily support and resistance pivots.
Proximity Threshold: How close the price must get to a daily level to trigger an early exit.
⚠️ Risk Disclaimer
This script is an automated tool for analysis and execution assistance. It employs averaging techniques (DCA) which involve calculated risk. While the "Kill Switch" and "Risk Scaling" features are designed to mitigate exposure, users should thoroughly backtest and understand the "Multiplier" settings before deploying real capital. Past market structure is not a guarantee of future performance.
MAX TRADEMAX TRADE is a smart trend-following indicator designed for Forex and XAUUSD. It uses a dynamic channel with Fibonacci levels to generate clear LONG and SHORT signals on any timeframe. The script supports fixed pip SL/TP, partial take profits, break-even logic and optional EMA/RSI/ATR filters to avoid bad entries. It also tracks win rate and total percent profit in real time so you can quickly see how the strategy is performing on your backtests.
Crypto Intraday Scalper [Patterns + RSI + Volume + MTF + ADX]# Guide to Reading the Indicator (CIS Pro v2)
## 1. Operational Signals (The Labels)
- **GREEN Label "BUY"**:
**Meaning**: Entry for a Long position.
**Conditions**: Bullish candle pattern + Oversold RSI + High Volume + Bullish 1-hour trend + Sufficient Volatility.
- **RED Label "SELL"**:
**Meaning**: Entry for a Short position.
**Conditions**: Bearish candle pattern + Overbought RSI + High Volume + Bearish 1-hour trend + Sufficient Volatility.
- **No Label**: The market is in an uncertain phase, sideways movement, or filters (ADX/MTF) are blocking signals for protection.
## 2. Trend Lines (The Context)
- **Gray Line (EMA 200)**: This serves as the dividing line between bullish and bearish trends.
**Rule**: Seek Long positions only above the gray line; Short positions only below it.
- **Red/Green Step Line (Supertrend / Trailing Stop)**:
**Green (below the price)**: Strong bullish trend. Acts as dynamic support.
**Red (above the price)**: Strong bearish trend. Acts as dynamic resistance.
**Usage**: Use it for trade exits. If in a Long position and the line turns red, close the entire trade.
## 3. Price Levels (Targets and Supports)
- **Blue/Red/Green Dots (Pivot Points)**:
These are levels calculated from the previous day. The price tends to bounce at these points. Use them as final targets for taking profit.
- **Orange Line (VWAP)**:
This represents the "average price" for the day. If the price deviates too far, it often returns (elastic effect).
- **Dashed Lines (Appear after a signal)**:
**Red Dashed**: Suggested Stop Loss (based on ATR volatility).
**Green Dashed**: Suggested Take Profit (quick target).
## 4. The Table (Dashboard in the Top Right)
This provides reasons why you may not be receiving signals:
- **Trend (Current)**: The trend on your current chart.
- **Trend (MTF 60)**: The trend on the 1-hour chart. If these two conflict (e.g., Bullish vs. Bearish), no signals will appear.
- **ADX Volatility**: If RED (below 20), the market is flat—no trades. If GREEN, there is sufficient movement.
- **Volume Status**: Alerts if anomalous high volume is entering (High) or if conditions are calm.
## 🚀 Operational Summary
- Wait for the label.
- Quick Check: Is the price on the correct side of the gray line? Is the step line the right color?
- Enter the trade.
- Exit when the price hits the green dashed line (Quick Take Profit) **OR** when the price breaks the step line (Trailing Stop for longer trends).
What aspect of this indicator should we analyze next—perhaps integrating it with real-time ETH data or testing it via code execution for backtesting?
