XRP Alert Strategy - 3X CycleBottom Watch → $1.60 and $1.50 triggers
Reversal Signals → RSI breakout & EMA crossover
Profit Zone Targets → $3.00 and $4.50 levels
(Optional): Volume spike logic for top signal
Indicatori e strategie
Cycle Composite 3.6 WeightedThe Cycle Composite is a multi-factor market cycle model designed to classify long-term market behavior into distinct phases using normalized and weighted data inputs.
It combines ten key on-chain, dominance, volatility, sentiment, and trend-following metrics into a single composite output. The goal is to provide a clearer understanding of where the market may stand in the broader cycle (e.g., accumulation, early bull, late bull, or euphoria).
This version (3.4) introduces flexible weighting, trend strength markers, and additional context-aware signals such as risk-on confirmations and altseason flags.
Phases Identified:
The model categorizes the market into one of five zones:
Euphoria (> 85)
Late Bull (70 – 85)
Mid Bull (50 – 70)
Early Bull (30 – 50)
Fear (< 30)
Each phase is determined by a smoothed EMA of the weighted composite score.
Data Sources and Metrics Used (10 total):
BTC Dominance (CRYPTOCAP:BTC.D)
Stablecoin Dominance (USDT + USDC average) (inverted for risk-on)
ETH Dominance (CRYPTOCAP:ETH.D)
BBWP (normalized Bollinger Band Width % over 1-year window)
WVF (Williams VIX Fix for volatility spike detection)
NUPL (Net Unrealized Profit/Loss, external source)
CMF (Chaikin Money Flow, smoothed volume accumulation)
CEX Open Interest (custom input from DAO / external source)
Whale Inflows (custom input from whale exchange transfer data)
Google Trends Average (BTC, Crypto, Altcoin terms)
All inputs are normalized over a 200-bar window and combined via weighted averaging, where each weight is user-configurable.
Additional Features:
Phase Labels: Labels are printed only when a new phase is entered.
Bull Continuation Marker: Triangle up when composite makes higher highs and NUPL increases.
Weakening Marker: Triangle down when composite rolls over in Late Bull and NUPL falls.
Risk-On Signal: Green circle appears when CMF and Google Trends are both rising.
Altseason Flag: Orange diamond appears when dominance of "others.d" exceeds BTC.D and ETH.D and composite is above 50.
Background Shading: Each phase is shaded with a semi-transparent background color.
Timeframe-Aware Display: All markers and signals are shown only on weekly timeframe for clarity.
Intended Use:
This script is intended for educational and macro-trend analysis purposes.
It can be used to:
Identify macro cycle position (accumulation, bull phases, euphoria, etc.)
Spot long-term trend continuation or weakening signals
Add context to price action with external on-chain and sentiment data
Time rotation events such as altseason risk
Disclaimer:
This script does not constitute financial advice.
It is intended for informational and research purposes only.
Users should conduct their own due diligence and analysis before making investment decisions.
MNQ/NQ Risk Management ToolThis tool helps MNQ and NQ futures traders automatically calculate position size based on either a fixed dollar risk or a percentage of account balance.
Simply enter your stop loss level and choose whether to risk a set dollar amount or a percentage of your account. The script will display how many contracts to trade based on your setup.
Features:
Calculates contracts based on stop loss and risk size
Toggle between dollar-based or percent-of-account risk
Works with both MNQ ($2/point) and NQ ($20/point)
Automatically updates based on current price and direction (long or short)
Displays a clean info box on your chart with risk, contracts, and settings
This tool is ideal for intraday or swing traders who want to stay consistent with risk management across trades.
Impulsive Candle Detector TRW [3-in-1]Impulsive Candle Detector
Description: professor Michael impulsive candle but 3 -1 code by me
The Impulsive Candle Detector is a powerful tool designed to identify and highlight three different types of impulsive candles on your TradingView chart—all in a single, customizable indicator. Each impulsive candle type uses its own configurable settings, allowing traders to easily visualize various market dynamics without crowding their charts with multiple indicators.
How it works:
The indicator detects “impulsive” candles based on custom thresholds for candle range, volume, and body-to-wick ratio.
Each of the three types is independently configurable with its own parameters (length for averages, size multiplier, volume multiplier, body ratio, and color).
When an impulsive candle is detected, the corresponding bar is colored and can optionally display a label above the candle indicating its type.
Separate alerts can be set for each impulsive candle type, enabling you to react to different market conditions instantly.
Features:
Three independent impulsive candle detection types, all in one indicator
Adjustable settings for each type (range, volume, body ratio, and color)
Clean, uncluttered chart view
Custom bar coloring and optional labels for instant visual recognition
Supports individual alert notifications for each impulsive candle type
Perfect for:
Traders looking to spot strong market moves or volatility spikes
Those who want to monitor multiple impulsive candle patterns without overlapping indicators
Anyone who values clean and customizable charting solutions
CryptOZ RSI Signals + AlertsRSI Signal Indicator with Long and Short Alerts
This indicator leverages the Relative Strength Index (RSI) combined with customizable threshold zones and signal logic to identify potential Long (buy) and Short (sell) trading opportunities.
🔍 Key Features:
RSI-Based Signal Generation:
Utilizes the RSI and a smoothed %K line derived from Stochastic RSI to generate clear momentum signals.
Custom Threshold Zones:
Define your own upper and lower RSI ranges to filter signals and reduce false positives:
Long signals are triggered when %K crosses above its EMA within the low RSI zone.
Short signals are triggered when %K crosses below its EMA within the high RSI zone.
Visual Signal Labels:
Automatically plots “LONG” or “SHORT” labels on the chart when entry signals occur.
Custom Alerts:
Built-in alerts notify you in real time when a long or short signal is triggered — ideal for manual trading or integration with automated systems via webhook.
Optional %K EMA Line:
Toggle the visualization of the EMA line of %K for added confirmation.
⚙️ Inputs Include:
RSI Length and Stochastic settings
Dynamic MA Trend ChannelThe **Dynamic MA Trend Channel** plots a customizable 3-line moving average envelope (based on high, close, and low) with full control over:
- MA type (`EMA` or `SMA`)
- Shared MA length for all three lines
- Optional slope-based coloring of the center MA
- Customizable fill between high/low bands
- Candle coloring options:
- Outside the channel (above/below)
- Relative to the center MA
- Independent color settings for each line and candle state
- Built-in alerts for price crossing above or below the channel
**Use Cases:**
✔️ Visualize breakout momentum
✔️ Detect trend acceleration or breakdown
✔️ Spot price compression
✔️ Replace Bollinger/Keltner bands with a trend-anchored envelope
Hanzo Drex | Key Level EngineHanzo Drex | Key Level Engine™
Precision-calibrated for elite scalpers and institutional traders, this tool automatically maps out the most significant daily and historical key levels—across Today, Yesterday, and up to 10 previous sessions. Built with advanced logic, it filters noise and highlights only price levels that truly matter.
🔐 VIP Only – Invite-Only Access
This version is locked and exclusively available to Hanzo Drex VIPs.
🔧 Features:
Auto-detection of High/Low/Open/Close levels for up to 10 previous trading days
Dynamic combination of overlapping zones using ATR precision
Optional Pre-Market & Monthly levels
High/Low pivot detection engine
Smart labels with adjustable alignment, thickness, and extension
Perfectly designed for breakout traders and liquidity sweep strategies
🧠 Strategy Integration:
Pair this with the Volatility Box, Wick Trap Detector, or Liquidity Sweep Engine for surgical sniper entries on Gold, NAS100, and US30.
Delta-Candle DivergenceDelta-Candle Divergence is an on-chart overlay that automatically highlights hidden absorption/exhaustion bars by comparing wick-delta to candle color:
Core Logic
• Computes wick‐delta (buy/sell pressure) exactly as in the original Wick Delta script.
• Flags Bullish Absorption when delta > 0 on a red candle (close < open).
• Flags Bearish Absorption when delta < 0 on a green candle (close > open).
Filters & Inputs
• minDeltaThresh – ignore small wicks (default 0).
• Optional σ-band filter (useStdDevFilter, stdDevLevel, stdDevLookback).
• showArrows (off by default) to overlay triangles.
Visuals
• Paints the candle outline lime for bullish absorption, red for bearish.
• No separate pane or histogram—your price bars stay front-and-center.
Perfect for spotting hidden buying or selling pressure that traditional indicators miss.
VWAP Rejection Strategy XAUUSDhi made this strategy of vwap rejection as iam a personally a big fan of vwap this strategy works on any tf and its best suited for xauusd..
Delta-Candle DivergenceDelta-Candle Divergence is an on-chart overlay that automatically highlights hidden absorption/exhaustion bars by comparing wick-delta to candle color:
Core Logic
• Computes wick‐delta (buy/sell pressure) exactly as in the original Wick Delta script.
• Flags Bullish Absorption when delta > 0 on a red candle (close < open).
• Flags Bearish Absorption when delta < 0 on a green candle (close > open).
Filters & Inputs
• minDeltaThresh – ignore small wicks (default 0).
• Optional σ-band filter (useStdDevFilter, stdDevLevel, stdDevLookback).
• showArrows (off by default) to overlay triangles.
Visuals
• Paints the candle outline lime for bullish absorption, red for bearish.
• No separate pane or histogram—your price bars stay front-and-center.
Perfect for spotting hidden buying or selling pressure that traditional indicators miss.
RRStocksKillZoneThis is a test piece for trial, use at you own discretion. You can focus on the right zones
15min PD Array//@version=5
indicator("15min PD Array", overlay=true)
// Timeframe inputs
tf = "15"
// Get previous day's high, low, close
var float pdh = na
var float pdl = na
var float pdc = na
t = request.security(syminfo.tickerid, tf, time)
h = request.security(syminfo.tickerid, tf, high)
l = request.security(syminfo.tickerid, tf, low)
c = request.security(syminfo.tickerid, tf, close)
is_new_day = ta.change(time("D"))
var float temp_high = na
var float temp_low = na
var float temp_close = na
if is_new_day
pdh := temp_high
pdl := temp_low
pdc := temp_close
temp_high := na
temp_low := na
temp_close := na
temp_high := na(temp_high) ? h : math.max(temp_high, h)
temp_low := na(temp_low) ? l : math.min(temp_low, l)
temp_close := c
// Midpoint (EQ)
eq = (pdh + pdl) / 2
// Plotting
plot(pdh, color=color.green, title="PDH", linewidth=1, style=plot.style_linebr)
plot(pdl, color=color.red, title="PDL", linewidth=1, style=plot.style_linebr)
plot(pdc, color=color.gray, title="PDC", linewidth=1, style=plot.style_linebr)
plot(eq, color=color.orange, title="EQ (Mid)", linewidth=1, style=plot.style_linebr)
Intermarket Correlation Oscillator (ICO)The Intermarket Correlation Oscillator (ICO) is a TradingView indicator that helps traders analyze the relationship between two assets, such as stocks, indices, or cryptocurrencies, by measuring their price correlation. It displays this correlation as an oscillator ranging from -1 to +1, making it easy to spot whether the assets move together, oppositely, or independently. A value near +1 indicates strong positive correlation (assets move in the same direction), near -1 shows strong negative correlation (opposite movements), and near 0 suggests no correlation. This tool is ideal for confirming trends, spotting divergences, or identifying hedging opportunities across markets.
How It Works?
The ICO calculates the Pearson correlation coefficient between the chart’s primary asset (e.g., Apple stock) and a secondary asset you choose (e.g., SPY for the S&P 500) over a specified number of bars (default: 20). The oscillator is plotted in a separate pane below the chart, with key levels at +0.8 (overbought, strong positive correlation) and -0.8 (oversold, strong negative correlation). A midline at 0 helps gauge neutral correlation. When the oscillator crosses these levels or the midline, labels ("OB" for overbought, "OS" for oversold) and alerts notify you of significant shifts. Shaded zones highlight extreme correlations (red for overbought, green for oversold) if enabled.
Why Use the ICO?
Trend Confirmation: High positive correlation (e.g., SPY and QQQ both rising) confirms market trends.
Divergence Detection: Negative correlation (e.g., DXY rising while stocks fall) signals potential reversals.
Hedging: Identify negatively correlated assets to balance your portfolio.
Market Insights: Understand how assets like stocks, bonds, or crypto interact.
Easy Steps to Use the ICO in TradingView
Add the Indicator:
Open TradingView and load your chart (e.g., AAPL on a daily timeframe).
Go to the Pine Editor at the bottom of the TradingView window.
Copy and paste the ICO script provided earlier.
Click "Add to Chart" to display the oscillator below your price chart.
Configure Settings:
Click the gear icon next to the indicator’s name in the chart pane to open settings.
Secondary Symbol: Choose an asset to compare with your chart’s symbol (e.g., "SPY" for S&P 500, "DXY" for USD Index, or "BTCUSD" for Bitcoin). Default is SPY.
Correlation Lookback Period: Set the number of bars for calculation (default: 20). Use 10-14 for short-term trading or 50 for longer-term analysis.
Overbought/Oversold Levels: Adjust thresholds (default: +0.8 for overbought, -0.8 for oversold) to suit your strategy. Lower values (e.g., ±0.7) give more signals.
Show Midline/Zones: Check boxes to display the zero line and shaded overbought/oversold zones for visual clarity.
Interpret the Oscillator:
Above +0.8: Strong positive correlation (red zone). Assets move together.
Below -0.8: Strong negative correlation (green zone). Assets move oppositely.
Near 0: No clear relationship (midline reference).
Labels: "OB" or "OS" appears when crossing overbought/oversold levels, signaling potential correlation shifts.
Set Up Alerts:
Right-click the indicator, select "Add Alert."
Choose conditions like "Overbought Alert" (crossing above +0.8), "Oversold Alert" (crossing below -0.8), or zero-line crossings for bullish/bearish correlation shifts.
Configure notifications (e.g., email, SMS) to stay informed.
Apply to Trading:
Use positive correlation to confirm trades (e.g., buy AAPL if SPY is rising and correlation is high).
Spot divergences for reversals (e.g., stocks dropping while DXY rises with negative correlation).
Combine with other indicators like RSI or moving averages for stronger signals.
Tips for New Users
Start with related assets (e.g., SPY and QQQ for tech stocks) to see clear correlations.
Test on a demo account to understand signals before trading live.
Be aware that correlation is a lagging indicator; confirm signals with price action.
If the secondary symbol doesn’t load, ensure it’s valid on TradingView (e.g., use correct ticker format).
The ICO is a powerful, beginner-friendly tool to explore intermarket relationships, enhancing your trading decisions with clear visual cues and alerts.
14-Factor Bullish–Bearish Sentiment MeterTrend Meter
📊 14-Factor Bullish–Bearish Sentiment Meter
This advanced sentiment meter evaluates market direction strength every minute using 14 key confluence factors from price, volume, open interest, volatility, and macro inputs. It computes a score between 0 and 100 and visually classifies the market as:
🚀 Bullish (Score ≥ 71)
⚖️ Sideways/Neutral (Score between 31–70)
🔻 Bearish (Score ≤ 30)
✅ Key Factors Used:
Price Action Structure
Volume Strength
Open Interest with Price/Volume Action
Moving Averages (EMA 20/50 crossover)
RSI Momentum
VWAP Confluence
Gann Range Projection
Market Breadth (default placeholder)
Supertrend
DMI (Directional Movement Index)
Bollinger Band Volatility Width
India VIX Volatility Score
GIFT Nifty Change Detection
Previous Day Range Breakout Check
📈 Visual Features:
Chop Zone Line & Columns: Displays bullish, bearish, or neutral zones like broker platforms.
Score Smoothing: Smooths total sentiment score using a 5-period moving average.
Top-Right Status Table: Shows real-time classification, score, zone, and date.
Dynamic Label on Chart: Highlights current sentiment with color-coded tags.
Didi Index Pro – NNFX Trend Indicator [UTS]📈 Uber Didi Index Pro – NNFX Trend Indicator
A Top 100 NNFX-Compliant Trend Indicator – Refined for Rule-Based Traders
This enhanced Didi Index is a purpose-built trend indicator optimized for No Nonsense Forex (NNFX) systems. It reimagines the classic Brazilian Didi Index with powerful upgrades designed for serious, rules-based trading.
🔍 What Makes This Version Unique?
✅ NNFX-Adjusted Logic
• Removes short/fast MAs to reduce noise
• Designed to work only with long-period moving averages – as per VP’s recommendations
🔁 Inverted & Zero-Centered
• Deviations are plotted relative to the medium MA baseline at zero
• Inverted formula offers better signal clarity (e.g., rising above zero = uptrend)
🎛️ Customizable with 25+ Moving Average Types
• Choose SMA, EMA, WMA, VWMA, Hull, LSMA, and more
• Tune each line individually to match your system rules
📢 Alerts Built In
• Set alerts for crossovers, entering/exiting zones, or custom signal events
• Works as a primary confirmation, secondary confirmation or even exit indicator
🎯 Clean Signals, Fast Readability
• Removed the "Curta" and relies on the better "Longa" line relative to a zero centered "Media" line
• Great for confirming higher timeframe trends or filtering false entries
🕰️ History & Context
Originally developed by Brazilian trader Odir “Didi” Aguiar, the Didi Index compares short, medium, and long moving averages to spot market compression and expansions. This version repurposes the idea for trend-following, not mean reversion, and fully aligns with NNFX methodology.
📎 How to Use in NNFX Systems
Use this indicator as part of your C1 or C2 (confirmation) indicator:
When the Longa line is above zero → Bias = Long
When the Longa line is below zero → Bias = Short
Avoid trades when both lines are tightly compressed near zero
✅ Designed by traders who follow the rules.
✅ Built for traders who want clarity, consistency, and compliance.
🚀 Moving Averages
Trend-determining method offers 26 high quality Moving averages to choose.
"SMA", Simple Moving Average, R. H. Hooker, 1901
"EMA", Exponential Moving Average, P. N. Haurlan, early 1960s
"MDMA", McGinley Dynamic MA, John R. McGinley, 1990s
"DSEMA", Double Smoothed EMA, William Blau, year unknown
"DEMA", Double EMA, Patrick G. Mulloy, 1994
"TEMA", Triple EMA, Patrick G. Mulloy, 1994
"WMA", Weighted MA, Author and year unknown
"PWMA", Parabolic Weighted MA, Author and year unknown
"VWMA", Volume Weighted MA, Author and year unknown
"HULL", Hull MA, Alan Hull, 2005, year unknown
"TMA", Triangular MA, Author and year unknown
"B2P", Two Pole Ehlers Butterworth, John F. Ehlers, 2004
"S2P", Two Pole Ehlers Smoother, John F. Ehlers, year unknown
"S3P", Three Pole Ehlers Smoother, John F. Ehlers, year unknown
"SINE", Sine Weighted MA, Author and year unknown
"LINREG", Linear Regression Value (LSMA), Author and year unknown
"ILINREG", Integral of Linear Regression Slope, Author and year unknown
"NLMA", Non Lag MA, Author and year unknown
"ZLMA", Zero Lag MA, Author and year unknown
"KIJUN", Kijun-Sen Ichimoku, Goichi Hosoda, late 1930s
"SSM", Super Smoother, John F. Ehlers, year unknown
"ALMA", Arnaud Legoux MA, Arnaud Legoux, year unknown
"KAMA", Kaufman Adaptive MA, Perry J. Kaufman, 1998
"FRAMA", Fractal MA, John F. Ehlers, year unknown
"RMA", Running MA, J. Welles Wilder Jr., 1978
"JMA", Jurik Moving Average, Mark Jurik, year unknown
🚥 Signals
The indicator displays buy/sell signals, Beyond-ATR signals, and recommends when a pullback entry is possible.
Long Signal
Short Signal
📢 Alerts
Each chart signal can trigger an alert with the same name. To avoid multiple alerts being triggered within a single candle, it is recommended to wait for the candle to close and use the 'Once Per Bar Close' setting.
Long Signal
Short Signal
🗃️ About
Name: Uber Didi Index Pro – NNFX Trend Indicator
Created: 2025/06/20
PineScript: v6
Top-Center Range BoxTop-Center Range Box Indicator
This indicator calculates and displays:
The current bar’s range (High minus Low)
The average range over a specified number of previous bars
The percentage of the current range compared to that average
The result is shown in a floating label near the top of the chart.
VWVI - Volume Weighted Volatility Index# 📊 Complete VWVI Indicator User Guide (Current Version)
## 🔍 **I. Core Principles**
### **VWVI's Unique Value**
VWVI isn't a simple volatility indicator, but a **volume-confirmed volatility strength indicator**:
- **Problems with traditional volatility indicators**: ATR, Bollinger Bands, etc. only look at price movements while ignoring volume
- **VWVI advantage**: Only fluctuations accompanied by high volume are considered "true volatility"
- **Core logic**: Fluctuations driven by large capital are more important than retail noise
---
## 🎨 **II. Detailed Explanation of Current Version Visual Elements**
### **1. Main Line Color System (Most Important Signal)**
```
🟢 Green main line (VWVI > 60):
├─ Meaning: High volatility + high volume = true trend
├─ Market state: One-way market, breakout market, trend acceleration
├─ Trading opportunity: Trend following, momentum trading
└─ Duration: Typically lasts several cycles
🟠 Orange main line (40 ≤ VWVI ≤ 60):
├─ Meaning: Medium volatility or mismatched volume
├─ Market state: Transition phase, direction pending
├─ Trading strategy: Wait-and-see, await clear signals
└─ Note: High probability of false breakouts
🔴 Red main line (VWVI < 40):
├─ Meaning: Low volatility + low volume = consolidation
├─ Market state: Sideways, range-bound, shrinking volume
├─ Trading opportunity: Range trading, mean reversion
└─ Feature: Price oscillates between support/resistance
```
### **2. Reference Line System (Auxiliary Judgment)**
```
🟢 Trend threshold line (default 60):
├─ Function: Watershed for trend confirmation
├─ Breakout upward: Trend begins confirmation
├─ Break downward: Trend weakening or ending
└─ Adjustment suggestion: Can adjust based on market characteristics (50-70)
🔴 Range threshold line (default 40):
├─ Function: Confirmation line for range-bound markets
├─ Break downward: Range-bound market confirmed
├─ Breakout upward: Range may be ending
└─ Adjustment suggestion: Can adjust based on volatility (30-50)
⚫ Center line (50):
├─ Function: Market neutral reference
├─ Above: Trend characteristics
├─ Below: Range characteristics
└─ Meaning: Long-term equilibrium position
```
### **3. Background Coloring System (State Identification)**
```
🟢 Light green background:
├─ Trigger: VWVI > trend threshold
├─ Meaning: Trend confirmation period
├─ Trading suggestion: Trend following strategy
└─ Risk: Possible reversal at trend end
🔴 Light red background:
├─ Trigger: VWVI < range threshold
├─ Meaning: Range-bound confirmation period
├─ Trading suggestion: Range trading strategy
└─ Opportunity: Look for support/resistance levels
🟩 Green background flashing:
├─ Trigger: VWVI breaks through trend threshold
├─ Meaning: Trend signal generated
├─ Action: Consider establishing trend positions
└─ Confirmation: Needs other indicators
🟥 Red background flashing:
├─ Trigger: VWVI breaks below range threshold
├─ Meaning: Range signal generated
├─ Action: Consider range trading strategy
└─ Confirmation: Observe persistence
```
### **4. Information Panel (Upper Right Corner)**
```
📊 Real-time data display:
├─ VWVI value: Current indicator reading
├─ Current state: Trend/Range/Neutral
├─ Volume status: Above/Below 20-day average
├─ Volatility strength: High/Low volatility
├─ Trend threshold: Current setting
└─ Range threshold: Current setting
```
---
## 📈 **III. Specific Usage Methods**
### **A. Trend Following Strategy**
```
🎯 Entry timing:
✅ VWVI breaks above 60 from below (green background flashing)
✅ Main line turns green and continues rising
✅ Volume status shows "above average"
✅ Volatility strength shows "high volatility"
📍 Position management:
- Continue holding: VWVI remains above 60
- Reduce position warning: VWVI starts declining but still >50
- Stop loss exit: VWVI breaks below 50 or turns orange
⚠️ Risk control:
- False breakout: VWVI quickly falls back after breaking 60
- Trend end: VWVI oscillates at high levels
```
### **B. Range Trading Strategy**
```
🎯 Confirm range:
✅ VWVI breaks below 40 (red background flashing)
✅ Main line turns red and lingers at low levels
✅ Volume status shows "below average"
✅ Volatility strength shows "low volatility"
📍 Trading strategy:
- Upper range: Look for resistance to short
- Lower range: Look for support to long
- Stop loss: Breakout beyond range boundaries
- Profit target: Near range midpoint
⚠️ Notes:
- False breakouts may occur at range end
- Abnormal volume spikes may signal trend change
```
### **C. State Transition Strategy**
```
🔄 Range→Trend transition:
- Observe: VWVI rises from <40 to 40-60 range
- Prepare: Orange main line phase preparation
- Confirm: Consider entry when breaking 60
- Verify: Whether volume expands simultaneously
🔄 Trend→Range transition:
- Warning: VWVI declines from >60 to 40-60 range
- Reduce position: Gradually reduce in orange phase
- Confirm: Switch to range strategy when breaking 40
- Observe: Whether it's a trend pullback
```
---
## ⚠️ **IV. Common Mistakes and Precautions**
### **❌ Common Mistakes**
1. **Mistake 1: Using VWVI alone**
- ❌ Wrong: Making trading decisions based solely on VWVI
- ✅ Correct: Combine with price action, support/resistance, other indicators
2. **Mistake 2: Ignoring volume confirmation**
- ❌ Wrong: Only looking at VWVI values, ignoring volume status
- ✅ Correct: VWVI signal + volume confirmation = more reliable signal
3. **Mistake 3: Overtrading**
- ❌ Wrong: Trading every color change
- ✅ Correct: Wait for clear state transition signals
4. **Mistake 4: Fixed thresholds**
- ❌ Wrong: Using 60/40 thresholds for all markets
- ✅ Correct: Adjust parameters for different products
5. **Mistake 5: Ignoring background information**
- ❌ Wrong: Not considering market environment and fundamentals
- ✅ Correct: Combine with market cycles and important events
### **⚡ Special Situation Handling**
```
🚨 Abnormal signal identification:
- VWVI spikes sharply >80: May indicate sudden events
- VWVI remains <20 long-term: Extreme market contraction
- Frequent oscillation near thresholds: Market indecision
- Volume-VWVI divergence: Requires caution
🎯 Optimal usage environment:
✅ Suitable: Actively traded mainstream products
✅ Suitable: Markets with sufficient historical data
✅ Suitable: Exchanges with accurate volume data
❌ Not suitable: Extremely low liquidity products
❌ Not suitable: Heavily manipulated small coins
❌ Not suitable: Newly listed products (insufficient data)
```
### **🔧 Parameter Optimization Suggestions**
```
📊 Parameter suggestions for different markets:
- BTC/ETH major coins: Keep default 14/60/40
- Altcoins: Can adjust to 10/65/35 (more sensitive)
- Stock market: Can adjust to 20/55/45 (more stable)
- Forex market: Can adjust to 21/58/42 (follow tradition)
⏱️ Different timeframes:
- 1-minute: Not recommended (too noisy)
- 5-15 minutes: Short-term trading, can adjust sensitivity
- 1-4 hours: Medium-term trading, keep defaults
- Daily: Long-term analysis, can be more conservative
```
**Summary: VWVI is a powerful market state identification tool, but requires correct understanding of its meaning, combination with other analysis methods, and avoidance of overtrading to maximize effectiveness.**
# 📊 VWVI指标完全使用指南（当前版本）
## 🔍 **一、指标核心原理**
### **VWVI的独特价值**
VWVI不是简单的波动率指标，而是**成交量确认的波动强度指标**：
- **传统波动率指标问题**：ATR、布林带等只看价格波动，忽略了成交量
- **VWVI的优势**：只有伴随大成交量的波动才被认为是"真实波动"
- **核心逻辑**：大资金推动的波动比散户噪音更重要
---
## 🎨 **二、当前版本视觉元素详解**
### **1. 主线颜色系统（最重要的信号）**
```
🟢 绿色主线 (VWVI > 60)：
├─ 含义：高波动 + 高成交量 = 真实趋势
├─ 市场状态：单边行情、突破行情、趋势加速
├─ 交易机会：趋势跟随、动量交易
└─ 持续时间：通常持续数个周期
🟠 橙色主线 (40 ≤ VWVI ≤ 60)：
├─ 含义：中等波动或成交量不匹配
├─ 市场状态：过渡阶段、方向待定
├─ 交易策略：观望、等待明确信号
└─ 注意：假突破高发区域
🔴 红色主线 (VWVI < 40)：
├─ 含义：低波动 + 低成交量 = 震荡整理
├─ 市场状态：横盘、区间震荡、成交萎缩
├─ 交易机会：区间交易、均值回归
└─ 特征：价格在支撑阻力间反复
```
### **2. 参考线系统（辅助判断）**
```
🟢 趋势阈值线 (默认60)：
├─ 作用：趋势确认的分水岭
├─ 突破向上：趋势行情开始确认
├─ 跌破向下：趋势减弱或结束
└─ 调整建议：可根据市场特性调整（50-70）
🔴 震荡阈值线 (默认40)：
├─ 作用：震荡行情的确认线
├─ 跌破向下：震荡行情确认
├─ 突破向上：震荡可能结束
└─ 调整建议：可根据波动性调整（30-50）
⚫ 中线 (50)：
├─ 作用：市场中性参考
├─ 上方：偏向趋势特征
├─ 下方：偏向震荡特征
└─ 意义：长期均衡位置
```
### **3. 背景着色系统（状态识别）**
```
🟢 淡绿色背景：
├─ 触发：VWVI > 趋势阈值
├─ 含义：趋势行情确认期
├─ 交易建议：趋势跟随策略
└─ 风险：趋势末期可能反转
🔴 淡红色背景：
├─ 触发：VWVI < 震荡阈值
├─ 含义：震荡行情确认期
├─ 交易建议：区间交易策略
└─ 机会：寻找支撑阻力位
🟩 绿色背景闪烁：
├─ 触发：VWVI突破趋势阈值瞬间
├─ 含义：趋势信号产生
├─ 行动：考虑建立趋势仓位
└─ 确认：需结合其他指标
🟥 红色背景闪烁：
├─ 触发：VWVI跌破震荡阈值瞬间
├─ 含义：震荡信号产生
├─ 行动：考虑区间交易策略
└─ 确认：观察是否持续
```
### **4. 信息面板（右上角）**
```
📊 实时数据显示：
├─ VWVI数值：当前指标读数
├─ 当前状态：趋势/震荡/中性
├─ 成交量状态：高于/低于20日均值
├─ 波动强度：高波动/低波动
├─ 趋势阈值：当前设置值
└─ 震荡阈值：当前设置值
```
---
## 📈 **三、具体使用方法**
### **A. 趋势跟随策略**
```
🎯 入场时机：
✅ VWVI从下方突破60（绿色背景闪烁）
✅ 主线变为绿色且持续上升
✅ 成交量状态显示"高于均值"
✅ 波动强度显示"高波动"
📍 持仓管理：
- 继续持有：VWVI保持在60以上
- 减仓警告：VWVI开始下降但仍>50
- 止损离场：VWVI跌破50或变为橙色
⚠️ 风险控制：
- 假突破：VWVI突破60后快速回落
- 趋势末期：VWVI在高位震荡
```
### **B. 震荡交易策略**
```
🎯 确认震荡：
✅ VWVI跌破40（红色背景闪烁）
✅ 主线变为红色且在低位徘徊
✅ 成交量状态显示"低于均值"
✅ 波动强度显示"低波动"
📍 操作策略：
- 区间上沿：寻找阻力位做空
- 区间下沿：寻找支撑位做多
- 止损设置：突破区间边界
- 利润目标：区间中轴附近
⚠️ 注意事项：
- 震荡末期可能出现假突破
- 成交量异常放大需警惕变盘
```
### **C. 状态转换策略**
```
🔄 震荡→趋势转换：
- 观察：VWVI从<40上升至40-60区间
- 准备：橙色主线阶段做好准备
- 确认：突破60时考虑入场
- 验证：成交量是否同步放大
🔄 趋势→震荡转换：
- 警告：VWVI从>60下降至40-60区间
- 减仓：橙色主线阶段逐步减仓
- 确认：跌破40时转为震荡策略
- 观察：是否为趋势中的回调
```
---
## ⚠️ **四、使用误区与注意事项**
### **❌ 常见误区**
1. **误区一：单独使用VWVI**
- ❌ 错误：仅凭VWVI做交易决策
- ✅ 正确：结合价格行为、支撑阻力、其他指标
2. **误区二：忽略成交量确认**
- ❌ 错误：只看VWVI数值，不看成交量状态
- ✅ 正确：VWVI信号+成交量确认=更可靠信号
3. **误区三：频繁交易**
- ❌ 错误：每次颜色变化都交易
- ✅ 正确：等待明确的状态转换信号
4. **误区四：固定阈值**
- ❌ 错误：所有市场都用60/40阈值
- ✅ 正确：根据不同品种调整参数
5. **误区五：忽略背景信息**
- ❌ 错误：不看市场环境和基本面
- ✅ 正确：结合市场周期和重要事件
### **⚡ 特殊情况处理**
```
🚨 异常信号识别：
- VWVI急剧飙升>80：可能是突发事件
- VWVI长期<20：市场极度萎缩
- 频繁在阈值附近震荡：市场犹豫不决
- 成交量与VWVI背离：需谨慎对待
🎯 最佳使用环境：
✅ 适用：活跃交易的主流品种
✅ 适用：有足够历史数据的市场
✅ 适用：成交量数据准确的交易所
❌ 不适用：极低流动性品种
❌ 不适用：操纵严重的小币种
❌ 不适用：新上市品种（数据不足）
```
### **🔧 参数调优建议**
```
📊 不同市场的参数建议：
- BTC/ETH主流币：保持默认14/60/40
- 山寨币：可调整为10/65/35（更敏感）
- 股票市场：可调整为20/55/45（更稳定）
- 外汇市场：可调整为21/58/42（跟随传统）
⏱️ 不同时间周期：
- 1分钟：不建议使用（噪音太大）
- 5-15分钟：短线交易，参数可调敏感
- 1-4小时：中线交易，保持默认
- 日线：长线分析，可调保守
```
**总结：VWVI是一个强大的市场状态识别工具，但需要正确理解其含义，结合其他分析方法，避免过度交易，才能发挥最大效用。**
2 EMA + 2 SMA Signals with EMA Crossovers (1-Day Timeframe)Simple Ema or Sma allowing to choose custom intervals
Dynamic EMA Ribbon SystemThis Pine Script v6 indicator creates a multi-EMA ribbon that dynamically changes color based on market conditions. It includes 16 EMAs (21 to 66 in 3-period increments) and a thick 200 EMA for long-term trend reference. The indicator automatically detects bullish, bearish, and sideways markets, adjusting the EMA colors accordingly for clear visual interpretation.
Key Features
1. Multi-EMA Ribbon (21 to 66)
16 EMAs plotted distinctly (21, 24, 27, 30, 33, 36, 39, 42, 45, 48, 51, 54, 57, 60, 63, 66).
Each EMA is individually visible (not clubbed together).
Adjustable line thickness (1-3 pixels).
2. Dynamic Color System
Green EMAs:
Price is above all EMAs.
EMAs are stacked ascendingly (21 > 24 > 27 > ... > 66).
Red EMAs:
Price is below all EMAs.
EMAs are stacked descendingly (21 < 24 < 27 < ... < 66).
Gray EMAs:
Market is sideways (price range within threshold).
EMAs are not properly stacked (no clear trend).
3. 200 EMA Reference Line
Thick black line (3px width).
Broken line style for better visibility.
Trend confirmation:
"▲ Trend Start" label when price crosses above 200 EMA.
"▼ Trend End" label when price crosses below 200 EMA.
4. Market State Detection
Sideways Market Condition:
Detected when price range is < user-defined threshold (default: 1.5%).
Background turns light gray.
Trending Market Condition:
Bullish: Background turns light green.
Bearish: Background turns light red.
5. Visual Enhancements
Price Position Line:
Blue line showing recent price movement (last 20 bars).
Clear Labels:
Large "Trend Start" / "Trend End" alerts.
No Repainting:
Uses confirmed signals to avoid false alerts.
Input Parameters
Parameter Description Default Range
Show 200 EMA Toggles the 200 EMA reference line true true/false
EMA Line Thickness Adjusts thickness of EMAs (1-3px) 1 1-3
Sideways Threshold (%) Price range % to consider market sideways 1.5% 0.1-10%
Sideways Period Bars analyzed for sideways condition 20 5-100
How to Use in Trading
Bullish Market (Green EMAs)
Entry Signal:
Price above all EMAs + EMAs stacked upward.
Confirmation: Price crosses above 200 EMA ("▲ Trend Start").
Exit Signal:
EMAs turn red or price drops below key EMAs.
Bearish Market (Red EMAs)
Entry Signal:
Price below all EMAs + EMAs stacked downward.
Confirmation: Price crosses below 200 EMA ("▼ Trend End").
Exit Signal:
EMAs turn green or price rises above key EMAs.
Sideways Market (Gray EMAs)
Strategy:
Avoid trend trades.
Look for breakouts (price exits range with EMA color change).
Code Highlights
✔ Optimized Performance – Uses arrays for EMA calculations.
✔ No Repainting – Signals are confirmed before display.
✔ Professional Visuals – Clean labels, dynamic colors, and intuitive design.
Final Notes
This indicator is perfect for:
✅ Trend-following strategies (swing/day trading).
✅ Breakout confirmation (sideways → trending shifts).
✅ Multi-timeframe analysis (works on all timeframes).
Installation:
Copy the Pine Script code.
Paste into TradingView’s Pine Editor.
Apply to any chart.
Patrik BTC Exponential Model v.2A MULTI-ANCHOR EULER'S EXPONENTIAL REGRESSION MODEL v2.0
Implements Euler's exponential growth model: BTC(t) = a × e^(r × t)
Based on Euler's number (e ≈ 2.71828) for natural exponential growth
- a = Initial coefficient (y-intercept in log space)
- r = Growth rate (slope in log space)
- t = Years since anchor date
FEATURES:
- Exponential regression line with ±2 SD bands
- R-squared for model fit assessment
- Log/linear regression modes
- Real-time deviation tracking
- Customizable anchor date
- BUY/SELL SIGNALS: Background zones & bar colors
- Green = Buy (below trend), Red = Sell (above trend)
- Darker colors = Stronger signals (±2 SD)
IMPORTANT CAVEATS:
⚠️ ANCHOR BIAS: Selecting "best fit" dates introduces look-ahead bias
⚠️ NOT PREDICTIVE: High R² shows historical fit, not future reliability
⚠️ For analysis only - NOT investment advice
TIPS:
- Use log scale (right-click price axis → "Logarithmic")
- ±2σ bands ≈ 95% confidence assuming normal distribution
- Signals: Strong Buy <-2σ | Buy <-1σ | Neutral | Sell >+1σ | Strong Sell >+2σ
- Note @GallantCryptoYT has a much more sophisticated exit / entry
CREDITS:
@GallantCryptoYT (Patreon: Gallant Crypto)
Hidden Markov Model [Extension] | FractalystWhat's the indicator's purpose and functionality?
The Hidden Markov Model is specifically designed to integrate with the Quantify Trading Model framework, serving as a probabilistic market regime identification system for institutional trading analysis.
Hidden Markov Models are particularly well-suited for market regime detection because they can model the unobservable (hidden) state of the market, capture probabilistic transitions between different states, and account for observable market data that each state generates.
The indicator uses Hidden Markov Model mathematics to automatically detect distinct market regimes such as low-volatility bull markets, high-volatility bear markets, or range-bound consolidation periods.
This approach provides real-time regime probabilities without requiring optimization periods that can lead to overfitting, enabling systematic trading based on genuine probabilistic market structure.
How does this extension work with the Quantify Trading Model?
The Hidden Markov Model | Fractalyst serves as a probabilistic state estimation engine for systematic market analysis.
Instead of relying on traditional technical indicators, this system automatically identifies market regimes using forward algorithm implementation with three-state probability calculation (bullish/neutral/bearish), Viterbi decoding process for determining most likely regime sequence without repainting, online parameter learning with adaptive emission probabilities based on market observations, and multi-feature analysis combining normalized returns, volatility comprehensive regime assessment.
The indicator outputs regime probabilities and confidence levels that can be used for systematic trading decisions, portfolio allocation, or risk management protocols.
Why doesn't this use optimization periods like other indicators?
The Hidden Markov Model | Fractalyst deliberately avoids optimization periods to prevent overfitting bias that destroys out-of-sample performance.
The system uses a fixed mathematical framework based on Hidden Markov Model theory rather than optimized parameters, probabilistic state estimation using forward algorithm calculations that work across all market conditions, online learning methodology with adaptive parameter updates based on real-time market observations, and regime persistence modeling using fixed transition probabilities with 70% diagonal bias for realistic regime behavior.
This approach ensures the regime detection signals remain robust across different market cycles without the performance degradation typical of over-optimized traditional indicators.
Can this extension be used independently for discretionary trading?
No, the Hidden Markov Model | Fractalyst is specifically engineered for systematic implementation within institutional trading frameworks.
The indicator is designed to provide regime filtering for systematic trading algorithms and risk management systems, enable automated backtesting through mathematical regime identification without subjective interpretation, and support institutional-level analysis when combined with systematic entry/exit models.
Using this indicator independently would miss the primary value proposition of systematic regime-based strategy optimization that institutional frameworks provide.
How do I integrate this with the Quantify Trading Model?
Integration enables institutional-grade systematic trading through advanced machine learning and statistical validation:
- Add both HMM Extension and Quantify Trading Model to your chart
- Select HMM Extension as the bias source using input.source()
- Quantify automatically uses the extension's bias signals for entry/exit analysis
- The built-in machine learning algorithms score optimal entry and exit levels based on trend intensity, and market structure patterns identified by the extension
The extension handles all bias detection complexity while Quantify focuses on optimal trade timing, position sizing, and risk management along with PineConnector automation
What markets and assets does the indicator Extension work best on?
The Hidden Markov Model | Fractalyst performs optimally on markets with sufficient price movement since the system relies on statistical analysis of returns, volatility, and momentum patterns for regime identification.
Recommended asset classes include major forex pairs (EURUSD, GBPUSD, USDJPY) with high liquidity and clear regime transitions, stock index futures (ES, NQ, YM) providing consistent regime behavior patterns, individual equities (large-cap stocks with sufficient volatility for regime detection), cryptocurrency markets (BTC, ETH with pronounced regime characteristics), and commodity futures (GC, CL showing distinct market cycles and regime transitions).
These markets provide sufficient statistical variation in returns and volatility patterns, ensuring the HMM system's mathematical framework can effectively distinguish between bullish, neutral, and bearish regime states.
Any timeframe from 15-minute to daily charts provides sufficient data points for regime calculation, with higher timeframes (4H, Daily) typically showing more stable regime identification with fewer false transitions, while lower timeframes (30m, 1H) provide more responsive regime detection but may show increased noise.
Acceptable Timeframes and Portfolio Integration:
- Any timeframe that can be evaluated within Quantify Trading Model's backtesting engine is acceptable for live trading implementation.
Legal Disclaimers and Risk Acknowledgments
Trading Risk Disclosure
The HMM Extension is provided for informational, educational, and systematic bias detection purposes only and should not be construed as financial, investment, or trading advice. The extension provides institutional analysis but does not guarantee profitable outcomes, accurate bias predictions, or positive investment returns.
Trading systems utilizing bias detection algorithms carry substantial risks including but not limited to total capital loss, incorrect bias identification, market regime changes, and adverse conditions that may invalidate analysis. The extension's performance depends on accurate data, TradingView infrastructure stability, and proper integration with Quantify Trading Model, any of which may experience data errors, technical failures, or service interruptions that could affect bias detection accuracy.
System Dependency Acknowledgment
The extension requires continuous operation of multiple interconnected systems: TradingView charts and real-time data feeds, accurate reporting from exchanges, Quantify Trading Model integration, and stable platform connectivity. Any interruption or malfunction in these systems may result in incorrect bias signals, missed transitions, or unexpected analytical behavior.
Users acknowledge that neither Fractalyst nor the creator has control over third-party data providers, exchange reporting accuracy, or TradingView platform stability, and cannot guarantee data accuracy, service availability, or analytical performance. Market microstructure changes, reporting delays, exchange outages, and technical factors may significantly affect bias detection accuracy compared to theoretical or backtested performance.
Intellectual Property Protection
The HMM Extension, including all proprietary algorithms, classification methodologies, three-state bias detection systems, and integration protocols, constitutes the exclusive intellectual property of Fractalyst. Unauthorized reproduction, reverse engineering, modification, or commercial exploitation of these proprietary technologies is strictly prohibited and may result in legal action.
Liability Limitation
By utilizing this extension, users acknowledge and agree that they assume full responsibility and liability for all trading decisions, financial outcomes, and potential losses resulting from reliance on the extension's bias detection signals. Fractalyst shall not be liable for any unfavorable outcomes, financial losses, missed opportunities, or damages resulting from the development, use, malfunction, or performance of this extension.
Past performance of bias detection accuracy, classification effectiveness, or integration with Quantify Trading Model does not guarantee future results. Trading outcomes depend on numerous factors including market regime changes, pattern evolution, institutional behavior shifts, and proper system configuration, all of which are beyond the control of Fractalyst.
User Responsibility Statement
Users are solely responsible for understanding the risks associated with algorithmic bias detection, properly configuring system parameters, maintaining appropriate risk management protocols, and regularly monitoring extension performance. Users should thoroughly validate the extension's bias signals through comprehensive backtesting before live implementation and should never base trading decisions solely on automated bias detection.
This extension is designed to provide systematic institutional flow analysis but does not replace the need for proper market understanding, risk management discipline, and comprehensive trading methodology. Users should maintain active oversight of bias detection accuracy and be prepared to implement manual overrides when market conditions invalidate analysis assumptions.
Terms of Service Acceptance
Continued use of the HMM Extension constitutes acceptance of these terms, acknowledgment of associated risks, and agreement to respect all intellectual property protections. Users assume full responsibility for compliance with applicable laws and regulations governing automated trading system usage in their jurisdiction.
