Net XRP Margin PositionTotal XRP Longs minus XRP Shorts in order to give you the total outstanding XRP margin debt.
ie: If 500,000 XRP has been longed, and 400,000 XRP has been shorted, then 500,000 has been bought, and 400,000 sold, leaving us with 100,000 XRP (net) remaining to be sold to give us an overall neutral margin position.
That isn't to say that the net margin position must move towards zero, but it is a sensible reference point, and historical net values may provide useful insights into the current circumstances.
在脚本中搜索"摩根标普500指数基金的收益如何"
Net DASH Margin PositionTotal DASH Longs minus DASH Shorts in order to give you the total outstanding DASH margin debt.
ie: If 500,000 DASH has been longed, and 400,000 DASH has been shorted, then 500,000 has been bought, and 400,000 sold, leaving us with 100,000 DASH (net) remaining to be sold to give us an overall neutral margin position.
That isn't to say that the net margin position must move towards zero, but it is a sensible reference point, and historical net values may provide useful insights into the current circumstances.
(Anyone know what category this script should be in?)
Net NEO Margin PositionTotal NEO Longs minus NEO Shorts in order to give you the total outstanding NEO margin debt.
ie: If 500,000 NEO has been longed, and 400,000 NEO has been shorted, then 500,000 has been bought, and 400,000 sold, leaving us with 100,000 NEO (net) remaining to be sold to give us an overall neutral margin position.
That isn't to say that the net margin position must move towards zero, but it is a sensible reference point, and historical net values may provide useful insights into the current circumstances.
(Anyone know what category this script should be in?)
Everyday 0002 _ MAC 1st Trading Hour WalkoverThis is the second strategy for my Everyday project.
Like I wrote the last time - my goal is to create a new strategy everyday
for the rest of 2016 and post it here on TradingView.
I'm a complete beginner so this is my way of learning about coding strategies.
I'll give myself between 15 minutes and 2 hours to complete each creation.
This is basically a repetition of the first strategy I wrote - a Moving Average Crossover,
but I added a tiny thing.
I read that "Statistics have proven that the daily high or low is established within the first hour of trading on more than 70% of the time."
(source: )
My first Moving Average Crossover strategy, tested on VOLVB daily, got stoped out by the volatility
and because of this missed one nice bull run and a very nice bear run.
So I added this single line: if time("60", "1000-1600") regarding when to take exits:
if time("60", "1000-1600")
strategy.exit("Close Long", "Long", profit=2000, loss=500)
strategy.exit("Close Short", "Short", profit=2000, loss=500)
Sweden is UTC+2 so I guess UTC 1000 equals 12.00 in Stockholm. Not sure if this is correct, actually.
Anyway, I hope this means the strategy will only take exits based on price action which occur in the afternoon, when there is a higher probability of a lower volatility.
When I ran the new modified strategy on the same VOLVB daily it didn't get stoped out so easily.
On the other hand I'll have to test this on various stocks .
Reading and learning about how to properly test strategies is on my todo list - all tips on youtube videos or blogs
to read on this topic is very welcome!
Like I said the last time, I'm posting these strategies hoping to learn from the community - so any feedback, advice, or corrections is very much welcome and appreciated!
/pbergden
Enhanced Kitchen Sink Strategymulti-layered trading system designed for TradingView, targeting a minimum 75% win rate through precise entry signals and robust risk management. Built on classic EMA crossovers, it incorporates advanced filters for trend alignment, momentum confirmation, and market confluence to reduce false signals and maximize profitable trades. Ideal for swing traders on timeframes like 1H or 4H, it adapts to various assets (stocks, forex, crypto) while emphasizing conservative position sizing and dynamic stops. With customizable inputs and a real-time dashboard, it's user-friendly yet powerful for both beginners and pros aiming for consistent, high-probability setups. Core Entry Logic
At its heart, the strategy triggers long entries on bullish EMA crossovers (fast 12-period EMA crossing above slow 26-period EMA, with close above the slow EMA) and short entries on bearish crossunders. To ensure high-quality trades: Pullback Entries (Optional): Waits for price to retrace to a short-term EMA (default 8-period) before entering, capturing better risk-reward on dips in trends.
Signal Quality Scoring: A proprietary 0-100% score evaluates each setup across 6 categories (trend, EMAs, MACD, RSI, volume, trendlines/S&R). Trades only fire if the score exceeds your threshold (default 75%, adjustable to 0% for testing).
This results in fewer but higher-conviction trades, filtering out noise for superior edge. Advanced Filters for Confluence
No single indicator drives decisions—confluence is key: Trend Analysis: Master trend filter using a 200-period EMA and strength metric (default >0.5% deviation). Optional higher-timeframe (e.g., daily) confirmation via EMA and MACD alignment.
MACD Double Confirmation: Requires MACD line above/below signal (9-period) with optional histogram momentum buildup.
RSI + Divergence: Filters for neutral RSI zones (40-70 for longs, 30-60 for shorts) and detects bullish/bearish divergences over 20 bars.
Volume Profile: Demands above-average volume (1.5x 20-period SMA) with buying/selling pressure analysis.
Trendlines & S/R: Auto-detects dynamic trendlines from pivots (10-bar lookback) and support/resistance zones (100-bar lookback, 3+ touches), avoiding entries near key levels.
Session Filters: Trades only during London/NY sessions (UTC-based), skipping high-volatility news windows (e.g., 1:30-2:00 PM UTC).
All filters are toggleable, allowing you to dial in aggressiveness—disable for more signals during backtesting.Risk Management & Position Sizing
Safety first: Uses 100% equity per trade with 0.1% commission simulation. Stops & Targets: ATR-based (14-period) stop-loss (1x ATR) and take-profit (2.5x ATR) for 1:2.5 risk-reward.
Breakeven Moves: Auto-shifts stop to +0.1% entry after 1% profit.
Trailing Stops: Optional 1.5x ATR trail to lock in gains during runners.
No pyramiding—flat after each close for clean, low-drawdown performance.
Visualization & Insights On-Chart: Plots EMAs, pullback lines, S/R dashes, trend backgrounds (green/red), and entry labels/shapes.
Dashboard: Real-time table shows trend status, HTF bias, quality scores, MACD/RSI/volume readouts, session info, ATR, price, and position.
Customization: 20+ inputs grouped by category; max 500 labels for clean charts.
Performance Edge & Usage Tips
Backtested for 75%+ win rates in trending markets, this strategy shines in volatile assets like EURUSD or BTCUSD. Start with defaults on 1H charts, then tweak filters (e.g., lower quality to 50%) for ranging conditions. Always forward-test—past results aren't guarantees. Download, apply, and elevate your trading with confluence-driven precision!
3-Level DCA Buy Strategy🎯 3-Level DCA Buy Strategy - Smart Dollar Cost Averaging
Professional DCA strategy that systematically accumulates positions during market dips. Enhanced with daily trend analysis for intelligent accumulation.
🚀 Key Features
- 3-Level Buying System: Automatic purchases at 5%, 10%, 15% drops from cycle highs
- Daily Trend Analysis: 1-day timeframe trend confirmation
- Smart Peak Detection: 100-period lookback for meaningful peaks
- Volume Filter: Optional volume confirmation system
- USD-Based Positions: Fixed dollar amounts per level
- Never Sells: Pure accumulation philosophy (buy-only)
📊 How It Works
1. Peak Identification: Detects highest price in last 100 periods
2. Daily Trend Check: Confirms price above 50 SMA on 1D timeframe
3. Drop Tracking: Calculates percentage drops from cycle high
4. Systematic Buying: Executes predetermined amounts at each level
5. Cycle Reset: Renews buy permissions when new peaks form
⚙️ Default Settings
- Buy Levels: 5%, 10%, 15% drops
- Position Sizes: $100, $150, $200
- Peak Period: 100 bars
- Higher Timeframe: 1 Day (1D)
- Pyramiding: 500 order capacity
🎨 Visual Elements
- Orange Circles: Mark cycle highs
- Colored Lines: Green/Blue/Red buy levels
- Triangle Signals: Buy point indicators
- Live Panel: Real-time statistics
- Background Colors: Trend and drop level indicators
🔔 Alert System
- Instant notifications for each buy level
- New peak detection alerts
- Major drop warnings (>20%)
- Daily trend change notifications
💡 Ideal Use Cases
- Crypto Accumulation: Bitcoin, Ethereum and major altcoins
- Stock DCA: Long-term portfolio building
- Volatile Markets: Capitalizing on price fluctuations
- Emotional Trading Prevention: Automated and disciplined buying
📈 Strategy Logic
This strategy follows the "buy the dip" philosophy. It waits during market rises and systematically builds positions during declines. Only buys when daily trend is bullish, providing protection during major bear markets.
⚠️ Important Notes
- Buy-only strategy - never sells positions
- Requires sufficient capital for multiple entries
- Most effective in trending and volatile markets
- Always backtest before live trading
- Risk management is your responsibility
🛠️ Customization Options
All parameters are fully customizable: drop percentages, position amounts, timeframes, visual elements and more. Suitable for both beginner and experienced investors.
🎯 Publishing Feature
Note: Strategy includes temporary 1-day sell cycle for TradingView publishing requirements. This feature can be disabled for normal DCA mode operation.
⭐ If you find this strategy helpful, please like and follow! Visit the profile for more trading tools.
Dual Relative Strength FlexibleDual Relative Strength Flexible (RS1 & RS2)
This indicator calculates two Relative Strength (RS) values to compare a stock’s performance over two timeframes against different benchmarks.
Key Features:
RS1: Measures long-term relative strength of the stock versus a primary benchmark index (e.g., NIFTY).
RS2: Measures short-term relative strength which can be customized by the user to compare the stock against a sectoral index, NIFTY 500, NIFTY Total Market, or any other preferred index.
Zero Baseline: Displays neutral performance level for quick interpretation.
Color-coded plots to highlight outperformance (green hues) or underperformance (red hues).
Background shading: Green when both RS1 & RS2 are positive, red when both are negative.
Info Table: Shows current RS1, RS2 values, benchmark names, and their difference in percentage terms.
nATR*ATR Multiplication Indicator - Optimal Selection Tool forThis indicator is specifically designed as an analysis tool for investors using grid bot strategies. It displays both nATR (Normalized Average True Range) and ATR (Average True Range) values on a single chart screen, calculating the multiplication of these two critical volatility measurements.
Primary Purpose of the Indicator:
To facilitate the selection of the most optimal stock and time period for grid bot trading. The nATR*ATR multiplication provides a hybrid measurement that combines both percentage-based return potential (nATR) and absolute volatility magnitude (ATR).
Importance for Grid Bot Strategy:
High nATR: Greater percentage-based return potential
High ATR: Wider price range = Fewer grid levels = More budget allocation per grid
Formula: Price Range/ATR = Theoretical Grid Count
Usage Advantages:
Test different time periods to find the highest multiplication value
Make optimal stock and time frame selections for grid bot setup
Monitor both nATR and ATR values on a single screen
High multiplication values indicate ideal conditions for grid bots
Technical Features:
Adjustable calculation period (1-500 candles)
Visual alert system (high/low multiplication values)
Real-time value tracking table
SMA-based smoothed calculations
This serves as a reliable guide for grid bot investors in optimal timing and stock selection.
Bank Strategy v1 Pro # Bank Strategy v1 Pro - Advanced Institutional Trading System
## Overview
Bank Strategy v1 Pro is a sophisticated institutional-grade trading indicator designed for professional traders who understand advanced market microstructure concepts. This system implements the precise methodologies used by institutional traders to identify high-probability reversal opportunities through liquidity manipulation patterns.
## Core Methodology
### 🏦 **Institutional Trading Framework**
This strategy is built upon the fundamental principle that institutional players (banks, hedge funds, market makers) create specific patterns when accumulating or distributing positions. The indicator identifies these patterns through:
- **Liquidity Manipulation Sequences** - Detection of deliberate stop-loss hunting
- **False Move (FU) Patterns** - Identification of engineered price movements
- **Order Block Analysis** - Recognition of institutional accumulation/distribution zones
- **Imbalance Trading** - Exploitation of price inefficiencies
- **Market Structure Context** - Trend-based signal filtering
### 📊 **Advanced Signal Components**
#### 1. **Liquidity Zone Identification**
- Automated detection of swing highs/lows where retail stops accumulate
- Dynamic liquidity level tracking with 30-bar extension
- Real-time monitoring of liquidity sweeps and hunts
#### 2. **False Move (FU) Pattern Recognition**
- **Bullish FU**: High manipulation → Close below previous low (bearish trap)
- **Bearish FU**: Low manipulation → Close above previous high (bullish trap)
- Institutional reversal confirmation after liquidity grab
#### 3. **Order Block Detection**
- Bullish Engulfing: Strong institutional buying after bearish candle
- Bearish Engulfing: Strong institutional selling after bullish candle
- 20-bar forward projection for order block validity
#### 4. **Price Imbalance Analysis**
- Bullish Imbalance: Gap up indicating buying pressure
- Bearish Imbalance: Gap down indicating selling pressure
- 15-bar tracking with automatic labeling
## Signal Generation Logic
### 🎯 **Entry Criteria**
**Buy Signal Requirements:**
- Bearish FU pattern detected (liquidity grab below previous low)
- Price above 200 SMA (bullish market context)
- Liquidity lows available for targeting
- Signal confirmation enabled
**Sell Signal Requirements:**
- Bullish FU pattern detected (liquidity grab above previous high)
- Price below 200 SMA (bearish market context)
- Liquidity highs available for targeting
- Signal confirmation enabled
### 📈 **Advanced Entry Management**
- **Entry Level**: 50% retracement of manipulation candle body
- **Stop Loss**: 20% extension below/above manipulation range
- **Take Profit**: Configurable risk-reward ratio (1:1 to 1:5)
- **Timeout**: 15-bar automatic signal expiry
## Professional Features
### 🔧 **Customizable Parameters**
- **Signal Control**: Independent buy/sell signal toggles
- **Visual Elements**: Modular display of order blocks, imbalances, liquidity zones
- **Risk Management**: Adjustable risk-reward ratios up to 1:5
- **Market Structure**: Configurable swing length (3-20 periods)
- **MA Filter**: Optional 200 SMA trend context
### 📊 **Real-Time Status Monitoring**
Professional status table displaying:
- Current market trend direction
- Liquidity availability status
- Active entry waiting status
- Risk-reward configuration
- System health indicators
### 🚨 **Professional Alert System**
- **Signal Alerts**: Instant notification of buy/sell opportunities
- **Entry Alerts**: Confirmation when entry levels are reached
- **Custom Messages**: Detailed alert descriptions for trade management
## Advanced Visual Analysis
### 🎨 **Color-Coded Elements**
- **Green Boxes**: Bullish order blocks (institutional buying zones)
- **Red Boxes**: Bearish order blocks (institutional selling zones)
- **Blue/Orange Boxes**: Price imbalances requiring fill
- **Purple Boxes**: FU patterns with directional labels
- **Dotted Lines**: Key liquidity levels with labels
- **Yellow Lines**: Pending entry levels
### 📍 **Professional Labeling**
- Clear identification of all pattern types
- Directional bias indicators
- Entry confirmation markers
- Liquidity level annotations
## Risk Management Framework
### ⚠️ **Professional Trading Guidelines**
- **Timeframe Recommendation**: 4H+ for institutional signal reliability
- **Position Sizing**: Risk no more than 1-2% per signal
- **Confirmation**: Wait for entry level hits before position entry
- **Context**: Always consider overall market structure and sentiment
### 🛡️ **Built-in Protections**
- Automatic signal timeout prevents stale entries
- Trend context filtering reduces counter-trend risks
- Liquidity requirement ensures sufficient market depth
- Risk-reward enforcement maintains positive expectancy
## Performance Optimization
### ⚡ **Technical Specifications**
- **Pine Script v5**: Latest version compatibility
- **Resource Limits**: Optimized for 500 bars, 200 lines, 100 boxes, 200 labels
- **Processing**: Efficient array management for liquidity tracking
- **Memory**: Automatic cleanup of expired signals and objects
### 🎯 **Signal Quality**
- High-probability setups through multi-factor confirmation
- Institutional pattern recognition reduces retail noise
- Trend context filtering improves win rate
- Professional entry timing reduces slippage
## Educational Framework
### 📚 **Institutional Concepts**
This indicator teaches professional trading concepts:
- Market microstructure understanding
- Institutional order flow analysis
- Liquidity-based trading strategies
- Professional risk management techniques
### 🎓 **Skill Development**
- Pattern recognition training
- Market structure analysis
- Trade timing optimization
- Risk management discipline
## Disclaimer
This indicator is designed for professional traders with experience in institutional trading concepts. It requires understanding of market microstructure, liquidity dynamics, and professional risk management. Past performance does not guarantee future results. Always implement proper risk management and consider multiple analysis factors before making trading decisions.
## Compatibility
- **Markets**: Forex, Indices, Cryptocurrencies, Commodities
- **Timeframes**: Optimized for 1H and above (4H+ recommended)
- **Platform**: TradingView Pine Script v5
- **Features**: Full alert integration, customizable display options
Bank Strategy v2# Multi-Signal Confirmation Strategy (MSCS)
## Overview
The Multi-Signal Confirmation Strategy is a comprehensive technical analysis indicator that combines multiple confirmation signals to generate high-probability buy and sell opportunities. This indicator is designed to reduce false signals by requiring multiple technical confirmations before generating trading alerts.
## Key Features
### 🎯 **Multi-Confirmation System**
- Requires 2-5 confirmations before signal generation
- Reduces false signals and improves signal quality
- Customizable confirmation threshold
### 📊 **Technical Analysis Components**
1. **Trend Analysis** - Multiple moving average types (SMA, EMA, WMA, RMA)
2. **Liquidity Detection** - Identifies key support/resistance levels
3. **Manipulation Patterns** - Detects false moves and liquidity hunts
4. **Order Blocks** - Recognizes institutional order flow patterns
5. **Imbalances** - Identifies price gaps and imbalances
6. **Volume Analysis** - Detects significant volume spikes
### 🔍 **Signal Types**
#### Bullish Confirmations:
- Price above moving average (bullish trend)
- Support level liquidity hunt
- False move down pattern
- Bullish engulfing pattern
- Bullish gap/imbalance
- Volume spike confirmation
#### Bearish Confirmations:
- Price below moving average (bearish trend)
- Resistance level liquidity hunt
- False move up pattern
- Bearish engulfing pattern
- Bearish gap/imbalance
- Volume spike confirmation
## How to Use
### 📋 **Settings Configuration**
1. **Signal Configuration:**
- Set minimum confirmations (2-5 signals)
- Enable/disable status table display
2. **Visual Display:**
- Toggle liquidity levels visibility
- Show/hide manipulation zones
- Optional moving average line display
3. **Moving Average Settings:**
- Choose MA period (1-500, default: 200)
- Select MA type (SMA, EMA, WMA, RMA)
### 🎯 **Entry Management**
- Automatic entry level calculation (25% retracement from signal candle)
- Entry timeout after 10 bars to avoid stale signals
- Clear entry confirmation markers on chart
### 📈 **Visual Elements**
- **Green Triangle Up**: Buy signal generated
- **Red Triangle Down**: Sell signal generated
- **Yellow Lines**: Entry levels awaiting execution
- **"ENTRY" Labels**: Entry level triggered
- **Dashed Lines**: Key liquidity levels
- **Colored Boxes**: Manipulation zones (FM = False Move)
## Alert System
The indicator provides four types of alerts:
1. **Buy Signal Generated** - When bullish confirmations meet threshold
2. **Sell Signal Generated** - When bearish confirmations meet threshold
3. **Buy Entry Triggered** - When price reaches calculated buy entry level
4. **Sell Entry Triggered** - When price reaches calculated sell entry level
## Status Information Panel
The indicator includes a comprehensive status table showing:
- Current market trend direction
- Number of bullish confirmations active
- Number of bearish confirmations active
- Required confirmation threshold
- Current position status (awaiting buy/sell/none)
## Best Practices
### ✅ **Recommended Usage**
- Use higher timeframes (4H, Daily) for stronger signals
- Combine with proper risk management and position sizing
- Wait for entry level confirmation before taking trades
- Consider market context and overall trend direction
### ⚠️ **Risk Management**
- This indicator is for educational and analytical purposes
- Always use proper stop-loss and take-profit levels
- Do not risk more than you can afford to lose
- Backtest thoroughly before live trading
### 🔧 **Optimization Tips**
- Adjust confirmation requirements based on market volatility
- Higher confirmations = fewer but higher quality signals
- Lower confirmations = more signals but potentially more noise
- Test different MA periods for your specific market/timeframe
## Technical Specifications
- **Pine Script Version**: v5
- **Overlay**: Yes (displays on price chart)
- **Maximum Bars Back**: 100 (optimized for performance)
- **Repainting**: No (signals are final once bar closes)
## Educational Disclaimer
This indicator is designed for educational and informational purposes only. It should not be used as the sole basis for trading decisions. Always conduct your own analysis, consider multiple factors, and implement proper risk management strategies. Past performance does not guarantee future results.
SPX Gamma Pin DetectorUnlock the power of gamma pinning in the S&P 500 (SPX) with this essential overlay indicator, designed for day traders and options enthusiasts. The SPX Gamma Pin Detector highlights key gamma strike levels where market makers and large positions create "sticky" price action, often leading to mean reversion and intraday pins. Based on advanced options flow insights (like those from SpotGamma transcripts), it plots critical support/resistance zones to help you anticipate reversals around high-gamma strikes—such as the 99th percentile levels that stabilize or propel SPX moves.
Key Features:
Visual Gamma Levels: Automatically plots the primary pin strike (e.g., 6475), upper gamma target (e.g., 6550), and lower risk-off support (e.g., 6400). These are customizable via inputs for real-time adaptation to market conditions.
Pin Alert Zone: A dynamic background highlight (yellow) activates when SPX is within 0.1% of the pin strike, signaling potential mean reversion opportunities—perfect for entering 0DTE call flies or put hedges pre-NFP or OPEX.
Buy Dip Alert: Generates TradingView alerts on crossovers above the lower tolerance (e.g., 0.5% below pin), with a message like "SPX near gamma pin - Enter fly!" to catch dip-buying flows from zero-DTE algos.
Vol Crush Filter (Beta): Includes a basic VIX threshold input (default <15) to boost signal strength during low-IV environments, where realized vol contracts and upside is cheap.
How It Works:
This Pine Script v5 indicator overlays horizontal lines and conditional backgrounds on your SPX (or ES1! futures) chart. It uses simple math tolerances to detect proximity to gamma hotspots, mimicking the "sticky gamma" dynamics from options positioning data. For example:
If SPX drifts toward the pin level post-data release (e.g., ADP/NFP), the alert fires to prompt bullish structures like the 6525/6550/6575 call fly (net debit ~$2.25 for $25 max profit).
Negative gamma voids below support warn of slippage risks, aligning with charm effects that support closes near 6465-6475.
Backtest it against historical pins (e.g., Tuesday's 6400 reversal with 5B delta buy) to see 70-80% hit rates in stable regimes. Ideal for our GrokPHDTrading day trading show—pair with transcript parses for edge in low-vol setups (VIX ~15, ATM IV 10-11%).
Usage Tips for Traders:
Setup: Add to a 1-min or 5-min SPX chart. Adjust strikes based on daily gamma maps (e.g., from SpotGamma or our tools).
Entry Signals: Alert triggers? Scale into mean-reversion plays—buy the dip if holds support, target pin for 3-5x ROI.
Risk Management: Stop below risk-off level; hedge with OTM put flies (~$0.30 debit) for tail risks like VIX spikes to 19+.
Customization: Tweak tolerances for ES or SPY equivalents (e.g., SPY 645 for SPX 6465). Add VIX plot for vol confirmation.
Training Integration: Use in our Phase 2: Setup Execution modules—simulates gamma edges for 80% win-rate drills.
Disclaimer: This indicator is for educational and informational purposes only. It draws from public options analysis but does not provide financial advice. Always backtest, use proper risk management, and consult a professional. Past performance isn't indicative of future results. Not affiliated with SpotGamma—purely inspired by their methodologies for our AI-driven trading tools at GrokPHDTrading.com.
Invite to Community: Love gamma trading? Subscribe to our show for live NFP breakdowns and affiliate links to premium flow tools. Questions? Drop in the comments or join our Discord for Pine tweaks!
Stocks Multi-Indicator Alerts (cryptodaddy)//@version=6
// Multi-Indicator Alerts
// --------------------------------------------
// This script combines technical indicators and basic analyst data
// to produce composite buy and sell signals. Each block is heavily
// commented so future modifications are straightforward.
indicator("Multi-Indicator Alerts", overlay=true, max_labels_count=500)
//// === Daily momentum indicators ===
// Relative Strength Index measures price momentum.
rsiLength = input.int(14, "RSI Length")
rsi = ta.rsi(close, rsiLength)
// Money Flow Index incorporates volume to track capital movement.
// In Pine Script v6 the function only requires a price source and length;
// volume is taken from the built-in `volume` series automatically.
mfLength = input.int(14, "Money Flow Length")
mf = ta.mfi(hlc3, mfLength)
// `mfUp`/`mfDown` flag a turn in money flow over the last two bars.
mfUp = ta.rising(mf, 2)
mfDown = ta.falling(mf, 2)
//// === WaveTrend oscillator ===
// A simplified WaveTrend model produces "dots" indicating potential
// exhaustion points. Values beyond +/-53 are treated as oversold/overbought.
n1 = input.int(10, "WT Channel Length")
n2 = input.int(21, "WT Average Length")
ap = hlc3 // typical price
esa = ta.ema(ap, n1) // smoothed price
d = ta.ema(math.abs(ap - esa), n1) // smoothed deviation
ci = (ap - esa) / (0.015 * d) // channel index
tci = ta.ema(ci, n2) // trend channel index
wt1 = tci // main line
wt2 = ta.sma(wt1, 4) // signal line
greenDot = ta.crossover(wt1, wt2) and wt1 < -53
redDot = ta.crossunder(wt1, wt2) and wt1 > 53
plotshape(greenDot, title="Green Dot", style=shape.circle, color=color.green, location=location.belowbar, size=size.tiny)
plotshape(redDot, title="Red Dot", style=shape.circle, color=color.red, location=location.abovebar, size=size.tiny)
//// === Analyst fundamentals ===
// Fundamental values from TradingView's database. If a ticker lacks data
// these will return `na` and the related conditions simply evaluate false.
rating = request.financial(syminfo.tickerid, "rating", period="FY")
targetHigh = request.financial(syminfo.tickerid, "target_high_price", period="FY")
targetLow = request.financial(syminfo.tickerid, "target_low_price", period="FY")
upsidePct = (targetHigh - close) / close * 100
downsidePct = (close - targetLow) / close * 100
// `rating` comes back as a numeric value (1 strong sell -> 5 strong buy). Use
// thresholds instead of string comparisons so the script compiles even when
// the broker only supplies numeric ratings.
ratingBuy = rating >= 4 // buy or strong buy
ratingNeutralOrBuy = rating >= 3 // neutral or better
upsideCondition = upsidePct >= 2 * downsidePct // upside at least twice downside
downsideCondition = downsidePct >= upsidePct // downside greater or equal
//// === Daily moving-average context ===
// 50 EMA represents short-term trend; 200 EMA long-term bias.
ema50 = ta.ema(close, 50)
ema200 = ta.ema(close, 200)
longBias = close > ema200 // price above 200-day = long bias
momentumFavorable = close > ema50 // price above 50-day = positive momentum
//// === Weekly trend filter ===
// Higher timeframe confirmation to reduce noise.
weeklyClose = request.security(syminfo.tickerid, "W", close)
weeklyEMA20 = request.security(syminfo.tickerid, "W", ta.ema(close, 20))
weeklyRSI = request.security(syminfo.tickerid, "W", ta.rsi(close, rsiLength))
// Weekly Money Flow uses the same two-argument `ta.mfi()` inside `request.security`.
weeklyMF = request.security(syminfo.tickerid, "W", ta.mfi(hlc3, mfLength))
weeklyFilter = weeklyClose > weeklyEMA20
//// === Buy evaluation ===
// Each true condition contributes one point to `buyScore`.
c1_buy = rsi < 50 // RSI below midpoint
c2_buy = mfUp // Money Flow turning up
c3_buy = greenDot // WaveTrend oversold bounce
c4_buy = ratingBuy // Analyst rating Buy/Strong Buy
c5_buy = upsideCondition // Forecast upside twice downside
buyScore = (c1_buy?1:0) + (c2_buy?1:0) + (c3_buy?1:0) + (c4_buy?1:0) + (c5_buy?1:0)
// Require all five conditions plus trend filters and persistence for two bars.
buyCond = c1_buy and c2_buy and c3_buy and c4_buy and c5_buy and longBias and momentumFavorable and weeklyFilter and weeklyRSI > 50 and weeklyMF > 50
buySignal = buyCond and buyCond
//// === Sell evaluation ===
// Similar logic as buy side but inverted.
c1_sell = rsi > 70 // RSI above overbought threshold
c2_sell = mfDown // Money Flow turning down
c3_sell = redDot // WaveTrend overbought reversal
c4_sell = ratingNeutralOrBuy // Analysts neutral or still buy
c5_sell = downsideCondition // Downside at least equal to upside
sellScore = (c1_sell?1:0) + (c2_sell?1:0) + (c3_sell?1:0) + (c4_sell?1:0) + (c5_sell?1:0)
// For exits require weekly filters to fail or long bias lost.
sellCond = c1_sell and c2_sell and c3_sell and c4_sell and c5_sell and (not longBias or not weeklyFilter or weeklyRSI < 50)
sellSignal = sellCond and sellCond
// Plot composite scores for quick reference.
plot(buyScore, "Buy Score", color=color.green)
plot(sellScore, "Sell Score", color=color.red)
//// === Confidence table ===
// Shows which of the five buy/sell checks are currently met.
var table status = table.new(position.top_right, 5, 2, border_width=1)
if barstate.islast
table.cell(status, 0, 0, "RSI", bgcolor=c1_buy?color.new(color.green,0):color.new(color.red,0))
table.cell(status, 1, 0, "MF", bgcolor=c2_buy?color.new(color.green,0):color.new(color.red,0))
table.cell(status, 2, 0, "Dot", bgcolor=c3_buy?color.new(color.green,0):color.new(color.red,0))
table.cell(status, 3, 0, "Rating", bgcolor=c4_buy?color.new(color.green,0):color.new(color.red,0))
table.cell(status, 4, 0, "Target", bgcolor=c5_buy?color.new(color.green,0):color.new(color.red,0))
table.cell(status, 0, 1, "RSI>70", bgcolor=c1_sell?color.new(color.red,0):color.new(color.green,0))
table.cell(status, 1, 1, "MF down",bgcolor=c2_sell?color.new(color.red,0):color.new(color.green,0))
table.cell(status, 2, 1, "Red dot", bgcolor=c3_sell?color.new(color.red,0):color.new(color.green,0))
table.cell(status, 3, 1, "Rating", bgcolor=c4_sell?color.new(color.red,0):color.new(color.green,0))
table.cell(status, 4, 1, "Target", bgcolor=c5_sell?color.new(color.red,0):color.new(color.green,0))
//// === Alert text ===
// Include key metrics in alerts so the chart doesn't need to be opened.
buyMsg = "BUY: RSI " + str.tostring(rsi, "#.##") +
", MF " + str.tostring(mf, "#.##") +
", Upside " + str.tostring(upsidePct, "#.##") + "%" +
", Downside " + str.tostring(downsidePct, "#.##") + "%" +
", Rating " + str.tostring(rating, "#.##")
sellMsg = "SELL: RSI " + str.tostring(rsi, "#.##") +
", MF " + str.tostring(mf, "#.##") +
", Upside " + str.tostring(upsidePct, "#.##") + "%" +
", Downside " + str.tostring(downsidePct, "#.##") + "%" +
", Rating " + str.tostring(rating, "#.##")
// Alert conditions use static messages; dynamic data is sent via `alert()`
alertcondition(buySignal, title="Buy Signal", message="Buy conditions met")
alertcondition(sellSignal, title="Sell Signal", message="Sell conditions met")
if buySignal
alert(buyMsg, alert.freq_once_per_bar_close)
if sellSignal
alert(sellMsg, alert.freq_once_per_bar_close)
//// === Watch-out flags ===
// Gentle warnings when trends weaken but before full sell signals.
warnRSI = rsi > 65 and rsi <= 65
warnAnalyst = upsidePct < 2 * downsidePct and upsidePct > downsidePct
alertcondition(warnRSI, title="RSI Watch", message="RSI creeping above 65")
alertcondition(warnAnalyst, title="Analyst Watch", message="Analyst upside shrinking")
if warnRSI
alert("RSI creeping above 65: " + str.tostring(rsi, "#.##"), alert.freq_once_per_bar_close)
if warnAnalyst
alert("Analyst upside shrinking: up " + str.tostring(upsidePct, "#.##") + "% vs down " + str.tostring(downsidePct, "#.##") + "%", alert.freq_once_per_bar_close)
//// === Plot bias moving averages ===
plot(ema50, color=color.orange, title="EMA50")
plot(ema200, color=color.blue, title="EMA200")
//// === Cross alerts for context ===
goldenCross = ta.crossover(ema50, ema200)
deathCross = ta.crossunder(ema50, ema200)
alertcondition(goldenCross, title="Golden Cross", message="50 EMA crossed above 200 EMA")
alertcondition(deathCross, title="Death Cross", message="50 EMA crossed below 200 EMA")
Universal Stochastic Fusion (Simplified) — v6What this indicator is
This indicator is called Universal Stochastic Fusion (USF).
It’s a tool that helps traders see when the market might be too high (overbought) or too low (oversold), and when it might be a good time to buy or sell.
________________________________________
How it works
Think of the market like a rubber band.
• If the band stretches too far up, it usually snaps back down.
• If it stretches too far down, it usually bounces back up.
The USF indicator measures this stretch using something called the Stochastic Oscillator (just a fancy way of saying it looks at where the current price sits compared to recent highs and lows).
It shows this on a scale from 0 to 100:
• Near 100 → market is stretched upward (too hot).
• Near 0 → market is stretched downward (too cold).
• Around 50 → normal, middle ground.
________________________________________
What’s special about USF
1. Two views at once
o It lets you see the market’s stretch on your current chart and on another timeframe (like a daily view).
o This way, you can see the short-term and the bigger picture together.
2. Smart levels
o Instead of always using the same “too high/too low” levels (like 80 and 20), it can adjust these lines automatically depending on how wild or calm the market is.
3. Buy and Sell signals
o When the market looks too low and starts turning up, it can mark a BUY.
o When the market looks too high and starts turning down, it can mark a SELL.
4. Extra filter (optional)
o It can also use another tool (RSI) to double-check signals, so you don’t get as many false alerts.
________________________________________
How this helps traders
• It helps traders avoid buying when prices are already too high.
• It helps them spot possible bottoms where prices may bounce back.
• It combines short-term and long-term signals so traders don’t get tricked by quick moves.
________________________________________
Where it works
This indicator is universal — meaning it works on almost any market:
• Stocks (like Apple, Tesla, etc.)
• Forex (currencies like EUR/USD)
• Crypto (Bitcoin, Ethereum, etc.)
• Commodities (Gold, Oil, etc.)
• Futures and Indices (S&P 500, Nasdaq, etc.)
Because all these markets share the same pattern of prices going up and down too much and then pulling back, the USF can be applied everywhere.
________________________________________
👉 In short:
The Universal Stochastic Fusion is like a heat meter for the market.
It tells you when prices might be too hot (good chance to sell) or too cold (good chance to buy), and it works in all markets and timeframes.
________________________________________
Strong Levels (Safe Version)Strong Levels (Safe Version)
This indicator automatically detects and plots strong support and resistance levels based on pivot highs/lows and the number of touches. It’s designed to highlight only the most reliable levels by filtering with ATR tolerance and minimum touch requirements.
Features:
Detects pivot-based support and resistance zones
Adjustable left/right candles for pivot sensitivity
Minimum touches filter to confirm significant levels
ATR-based tolerance for flexible clustering of nearby levels
Maximum levels limit for cleaner charts
Automatic color coding (teal = support, red = resistance)
Safe version with optimized handling of line objects (up to 500 lines)
Parameters:
Left / Right candles – sensitivity of pivot detection
Min. touches – minimum confirmations required to display a level
ATR period & multiplier – tolerance range for grouping nearby levels
Max levels – limits the number of active levels
Colors – customize support and resistance lines
Usage:
This tool helps traders quickly identify the strongest price levels where market reactions are most likely. Use it to find high-probability entry, exit, or stop-loss zones in any market and timeframe.
Composite Sentiment Indicator (SPY/QQQ/SOXX + VixFix)# Multi-Index Composite Sentiment Indicator
A comprehensive sentiment indicator that works across SPY, QQQ, SOXX, and custom symbols. Combines volatility, options flow, macro factors, technicals, and seasonality into a single z-score composite.
## What It Does
Takes multiple market sentiment inputs (VIX, put/call ratios, breadth, yields, etc.) and smooshes them into one normalized line. When the composite is high = markets getting spooked. When it's low = markets getting complacent.
## Key Features
- **Multi-Index Support**: Automatically adapts for SPY (uses VIX), QQQ (uses VXN), SOXX (uses VixFix), or custom symbols
- **VixFix Integration**: Larry Williams' VixFix for indices without dedicated VIX measures
- **Signal MA**: Choose from SMA/EMA/WMA/HMA/TEMA/DEMA with color coding (red above MA = risk-on, green below = risk-off)
- **September Focus**: Built-in seasonality weighting for September weakness patterns
- **Comprehensive Components**: Volatility, options sentiment, macro factors, technicals, and sector-specific metrics
## How to Use
**Basic Setup:**
1. Pick your index (SPY/QQQ/SOXX)
2. Choose signal MA type and length (EMA 21 is a good start)
3. Watch for extreme readings and MA crossovers
**Color Signals:**
- Red composite = above signal MA = bearish sentiment
- Green composite = below signal MA = bullish sentiment
- Extreme high readings (red background) = potential tops
- Extreme low readings (green background) = potential bottoms
**For Different Indices:**
- **QQQ**: Uses NASDAQ VIX (VXN) when available, falls back to VixFix
- **SOXX**: Includes semiconductor cycle indicators, uses VixFix for volatility
- **Custom**: Adapts automatically, relies on VixFix and general market metrics
## Components Included
**Volatility**: VIX/VXN/VixFix, term structure, historical vol
**Options**: Put/call ratios, SKEW index
**Macro**: DXY, 10Y yields, yield curve, TIPS spreads
**Technical**: RSI deviation, momentum
**Seasonality**: September effects, quad witching, month-end patterns
**Breadth**: S&P 500 and NASDAQ breadth measures
## Pro Tips
- Works well on Daily Timeframe
- September gets extra weight automatically - watch for August setup signals
- Keltner envelope breaks often mark sentiment exhaustion points
- Use alerts for extreme readings and MA crossovers
Works best when you understand that sentiment extremes often mark turning points, not continuation signals. High readings don't mean "keep shorting" - they mean "start looking for reversal setups."
## Settings Worth Tweaking
- Signal MA type/length for your timeframe
- Component weights based on what matters for your index
- Envelope multipliers for your risk tolerance
- VixFix parameters if default doesn't fit your symbol's volatility
The table shows all current component readings so you can see what's driving the signal. Good for context and debugging weird readings.
Monthly MA Box for S&P 500 or othersThis moving average helps detect when the asset is undervalued or overvalued. Users can adjust the spread between the moving averages.
Rolling Performance Toolkit (Returns, Correlation and Sharpe)This script provides a flexible toolkit for evaluating rolling performance metrics between any asset and a benchmark.
Features:
Library-based: Built on a custom utilities library for consistent return and statistics calculations.
Rolling Window Control: Choose the lookback period (in days) to calculate metrics.
Multiple Modes: Toggle between Rolling Returns, Rolling Correlation, and Rolling Sharpe Ratio.
Benchmark Comparison: Compare your selected ticker against a benchmark (default: S&P 500 / SPX), but you can easily switch to any symbol.
Risk-Free Rate Options: Choose from zero, a constant annual % rate, or a proxy symbol (default: US03M – 3-Month Treasury Yield).
Annualized Sharpe: Sharpe ratios are annualized by default (×√252) for intuitive interpretation.
This tool is useful for traders and investors who want to monitor relative performance, diversification benefits, or risk-adjusted returns over time.
Sunset Zones by PDVDescription
Sunset Zones by PDV is an intraday reference indicator that plots key horizontal levels based on selected “root candles” throughout the trading day. At each programmed time, the indicator identifies the high and low of the corresponding candle and projects those levels forward with extended lines, providing traders with a clean visual framework of potential intraday reaction zones.
These zones serve as reference levels for support, resistance, liquidity grabs, and session context, allowing traders to analyze how price reacts around time-specific structures. Unlike lagging indicators, Sunset Zones gives traders real-time, rule-based levels tied directly to the price action of specific moments in the session.
Key Features
Predefined Time Codes
The script comes with a curated list of intraday timestamps (in HHMM format). Each represents a “root candle” from which levels are generated. Examples include 03:12, 06:47, 07:41, 08:51, etc. These time codes can reflect historically important market moments such as session opens, liquidity sweeps, or volatility inflection points.
Automatic Zone Plotting
At each root time, the script captures the candle’s high and low and instantly extends those levels forward across the chart. This provides consistent, objective reference points for intraday trading.
Extended Lines
Levels are projected far into the future (default: 500 bars) so traders can easily track how price interacts with those zones throughout the day.
Color-Coded Levels
Each root time is assigned a distinct color for fast identification. For example:
03:12 → Fuchsia
06:47 → Purple
07:41 → Teal
08:51 → White
09:53 → White
10:20 → Orange
11:10 → Green
11:49 → Red
12:05 → White
13:05 → Teal
14:09 → Aqua
This helps traders quickly recognize which time-of-day level price is interacting with.
Lightweight & Visual
The indicator focuses purely on price and time, avoiding complexity or lagging signals. It can be layered with other analysis tools, order flow charts, or session-based studies.
Practical Use Cases
Intraday Bias:
Observe whether price respects, rejects, or consolidates around these reference levels to form a bias.
Liquidity Zones:
High/low sweeps of the root candle can act as liquidity pools where institutions might trigger stops or reversals.
Support & Resistance:
Extended lines create intraday S/R zones without the need to manually draw levels.
Confluence Finder:
Combine Sunset Zones with VWAP, session ranges, Fibonacci levels, or higher-timeframe structure for layered confluence.
Important Notes
This is a visual reference tool only. It does not generate buy or sell signals.
Default times are provided, but the concept is flexible — traders can adapt it by modifying or expanding the list of time codes.
Works best on intraday timeframes where session structure is most relevant (e.g., 1-minute to 15-minute charts).
✅ In short: Sunset Zones by PDV gives intraday traders a systematic way to anchor their charts to important time-based highs and lows, creating a consistent framework for analyzing price reactions across the day.
SPX Ladder → Adjusted to Active Ticker (5s & 10s)This indicator allows you to a grid of SPX levels directly on the ES1! (E-mini S&P 500 Futures) chart, automatically adjusting for the spread between SPX and ES1!. This is particularly useful for traders who perform technical analysis on SPX but execute trades on ES1!.
Features:
Renders every 5 and 10 points steps of the SPX in your current chart.
The script adjusts these levels in real-time based on the current spread between SPX and ES1!
Plots updated horizontal lines that move with the spread
Supports Multiple Tickers, ES1!, SPY and SPX500USD.
Ideal for futures traders who want SPX context while trading ES1!.
Minute speciale universale (3,11,17,29,41,47,53,59)//@version=5
indicator("Minute speciale universale (3,11,17,29,41,47,53,59)", overlay=true, max_labels_count=500)
// lista de minute speciale
var int specials = array.from(3, 11, 17, 29, 41, 47, 53, 59)
// minutul de start al barei (0..59)
mStart = minute(time)
// durata barei (secunde) -> minute
secInBar = timeframe.in_seconds(timeframe.period)
isIntraday = timeframe.isintraday
minutesInBar = (isIntraday and not na(secInBar)) ? math.max(1, int(math.ceil(secInBar / 60.0))) : 0
// caută dacă vreo valoare din `specials` cade în intervalul barei
bool hit = false
var int first = na
if minutesInBar > 0
for i = 0 to array.size(specials) - 1
s = array.get(specials, i)
delta = (s - mStart + 60) % 60
if delta < minutesInBar
hit := true
if na(first)
first := s
// etichetă (o singură linie ca să evităm parse issues)
if hit
label.new(bar_index, high, str.tostring(first), xloc=xloc.bar_index, yloc=yloc.abovebar, style=label.style_label_up, color=color.black, textcolor=color.white, size=size.tiny)
FibNexus [CHE]FibNexus — Auto-Fibonacci with Adaptive TrendLen + TFRSI Triggers
What it is.
FibNexus is a chart overlay that auto-anchors Fibonacci levels to the most relevant swing range without any manual timeframe picking. It does this by computing an adaptive trend length (“TrendLen”) from recent price behavior, then drawing retracements/extensions from the detected swing High/Low. A built-in TFRSI module adds LONG/SHORT triggers and ready-made alerts.
What makes FibNexus different (the TrendLen edge)
Most Fibonacci tools either (a) use fixed lookbacks or (b) force you to choose a higher reference timeframe (or a multiplier of it) and then place Fibs on those higher-TF swings. Your earlier Ultimate Fibonacci Trading Tool \ follows that higher-reference approach (auto TF, multiplier, or manual) and emphasizes custom level/label options. ( )
FibNexus flips that workflow:
* It doesn’t rely on a higher timeframe or a static lookback.
* Instead, it measures multiple window lengths inside the current chart timeframe and selects the one that best fits the data right now.
* From that data-driven window, it automatically finds the most recent swing high & low and draws the entire Fib stack from there.
* When the statistically “best” window changes, anchors update once, labels refresh cleanly, and then lines just extend to the right on each new bar.
Result: No more guesswork about “which timeframe or lookback should I use?”—FibNexus adapts the anchors to market conditions and keeps the drawing noise low.
How TrendLen works (transparent, deterministic)
1. Scan windows: The script evaluates a series of lookbacks (10, 20, …, 500 bars).
2. Score by correlation: For each window, it computes the correlation between price and its lagged version and picks the window with the highest correlation (the strongest, most self-consistent trend segment).
3. Anchor the swing: On a confirmed bar and only when TrendLen changes, it scans the last `TrendLen` bars to capture the highest high and lowest low and marks them with “X”.
4. Draw once, extend later: It deletes the old Fib objects, redraws the active levels from those anchors, and from then on extends the lines to the right as new bars print (no redraw spam).
This makes FibNexus responsive (it adapts when the structure shifts) and quiet (it doesn’t constantly repaint Fibs).
Fibonacci engine (levels, labels, direction)
* Retracements: 0.000 · 0.236 · 0.382 · 0.500 · 0.618 · 0.786 · 1.000
* Extensions: 1.618 · 2.618 · 3.618 · 4.236
* Label styles: *Default* (percent + price), *None*, *Percentage*, *Price*
* Label sizing: *tiny → huge*
* Bull/Bear context: Direction is inferred from mid-range positioning; prices are projected accordingly (retracement vs. extension math is handled for both cases).
* Selective toggles: You can show/hide any level and color it independently.
Momentum & signals (TFRSI module)
FibNexus embeds your TFRSI (“The Forbidden RSI \ ”) as the momentum/trigger layer. TFRSI is your open-source oscillator published on TradingView and designed for fast, normalized momentum readouts with customizable length/smoothing. ( )
* Defaults: `TFRSI length = 6`, `signal smoothing = 2`
* Triggers:
* LONG when TFRSI crosses up through the Long level (default 2.0)
* SHORT when TFRSI crosses down through the Short level (default 98.0)
* On-chart labels: Green LONG under the bar, red SHORT above the bar.
* Spam control: Keep only the N most recent labels to avoid clutter.
* Confirmed bars only: Signals/labels finalize at bar close to reduce flicker.
Alerts (ready for TradingView)
* LONG signal (TFRSI crossover)
* SHORT signal (TFRSI crossunder)
* TrendLen changed (anchors/Fibs recalculated)
* Price crossed a Fib level (any active level)
Use the provided `alertcondition(...)` entries in the TV dialog. Optionally enable instant `alert()` calls with verbose text (avoid duplicates if you also add alertconditions).
Typical use-cases & playbook
* Level reaction trading: In trends, watch 0.382 / 0.5 / 0.618 for reaction. A TFRSI up-cross near a retracement in an uptrend is a straightforward continuation setup; the opposite applies in downtrends.
* Breakout objectives: After clearing the 1.000 line (old swing), 1.618 is a common first extension target; beyond that, 2.618/3.618/4.236 map stretch objectives.
* Chop control: In range conditions, keep signals conservative (e.g., stick with the tight defaults 2.0/98.0 or raise thresholds). Always seek confluence (candlesticks, volume, HTF bias).
* Less micromanagement: You don’t need to babysit timeframe selection or anchors—TrendLen recomputes only when the data say so.
Inputs (by group)
* Core: TFRSI length & smoothing.
* Fibonacci Levels: Per-level toggles, numeric values, colors.
* Fibonacci Labels: Style (percentage/price/both/none) and size.
* Signals: Max number of visible LONG/SHORT labels (or 0 = off).
* TFRSI Trigger: Long/Short thresholds (defaults 2.0 / 98.0).
* Alerts: Master enable, per-event toggles, optional instant `alert()`.
Performance & UX
* Overlay indicator; efficient object handling.
* Clean redraw policy: Full re-draw only when TrendLen changes; otherwise Fibs extend horizontally.
* Clarity: Auto-marked swing anchors (“X”), configurable labels/colors.
Credits & references
* TFRSI – “The Forbidden RSI \ ” (open-source publication and description on TradingView). Used here as the momentum basis.
* “Ultimate Fibonacci Trading Tool \ ” (your earlier open-source tool on TradingView). Focuses on higher-reference timeframe selection (auto/multiplier/manual) and rich labeling controls; FibNexus replaces the fixed/higher-TF anchor logic with adaptive TrendLen in the current timeframe.
Risk disclaimer
This indicator is for educational/information purposes only and is not financial advice. No performance guarantees; past behavior does not predict future results. Trading involves substantial risk (including total loss). Always do your own research, test on demo, use risk management, and consult a licensed advisor where appropriate. Use at your own risk.
Disclaimer:
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Enhance your trading precision and confidence with FibNexus ! 🚀
Happy trading
Chervolino
Volume Profile + Pivot Levels [ChartPrime]⯁ OVERVIEW
Volume Profile + Pivot Levels combines a rolling volume profile with price pivots to surface the most meaningful levels in your selected lookback window. It builds a left-side profile from traded volume, highlights the session’s Point of Control (PoC) , and then filters pivot highs/lows so only those aligned with significant profile volume are promoted to chart levels. Each promoted level extends forward until price retests it—so your chart stays focused on levels that actually matter.
⯁ KEY FEATURES
Rolling Volume Profile (Period & Resolution)
Calculates a profile over the last Period bars (default 200). The profile is discretized into Volume Profile Resolution bins (default 50) between the highest high and lowest low inside the window. Each bin accumulates traded volume and is drawn as a smooth left-side polyline for compact, lightweight rendering.
HL = array.new()
// collect highs/lows over 'start' bars to define profile range
for i = 0 to start - 1
HL.push(high ), HL.push(low )
H = HL.max(), L = HL.min()
bin_size = (H - L) / bins
// accumulate per-bin volume
for i = 0 to bins - 1
for j = 0 to start - 1
if close >= (L + bin_sizei) - bin_size and close < (L + bin_size*(i+1)) + bin_size
Bins += volume
Delta-Aware Coloring
The script tracks up-minus-down volume across all period to compute a net Delta . The profile, PoC line, and PoC label adopt a teal tone when net positive, and maroon when net negative—an immediate read on buyer/seller dominance inside the window.
Point of Control (PoC) + Volume Label
Automatically marks the highest-volume bin as the PoC . A horizontal PoC line extends to the last bar, and a label shows the absolute volume at the PoC. Toggle visibility via PoC input.
Pivot Detection with Volume Filter
Identifies raw pivots using Length (default 10) on both sides of the bar. Each candidate pivot is then validated against the profile: only pivots that land within their bin and meet or exceed the Filter % threshold (percentage of PoC volume) are promoted to chart levels. This removes weak, low-participation pivots.
// pivot promotion when volume% >= pivotFilter
if abs(mid - p.value) <= bin_size and volPercent >= pivotFilter
// draw labeled pivot level
line.new(p.index - pivotLength, p.value, p.index + pivotLength, p.value, width = 2)
Forward-Extending, Self-Stopping Levels
Promoted pivot levels extend forward as dotted rays. As soon as price intersects a level (high/low straddles it), that level stops extending—so your chart doesn’t clutter with stale zones.
Concise Level Labels (Volume + %)
Each promoted pivot prints a compact label at the pivot bar with its bin’s absolute volume and percentage of PoC volume (ordering flips for highs vs. lows for quick read).
Lightweight Visuals
The volume profile is rendered as a smooth polyline rather than dozens of boxes, keeping charts responsive even at higher resolutions.
⯁ SETTINGS
Volume Profile → Period : Lookback window used to compute the profile (max 500).
Volume Profile → Resolution : Number of bins; higher = finer structure.
Volume Profile → PoC : Toggle PoC line and volume label.
Pivots → Display : Show/hide volume-validated pivot levels.
Pivots → Length : Pivot detection left/right bars.
Pivots → Filter % 0–100 : Minimum bin strength (as % of PoC) required to promote a pivot level.
⯁ USAGE
Read PoC direction/color for a quick net-flow bias within your window.
Prioritize promoted pivot levels —they’re backed by meaningful participation.
Watch for first retests of promoted levels; the line will stop extending once tested.
Adjust Period / Resolution to match your timeframe (scalps → higher resolution, shorter period; swings → lower resolution, longer period).
Tighten or loosen Filter % to control how selective the level promotion is.
⯁ WHY IT’S UNIQUE
Instead of plotting every pivot or every profile bar, this tool cross-checks pivots against the profile’s internal volume weighting . You only see levels where price structure and liquidity overlap—clean, data-driven levels that self-retire after interaction, so you can focus on what the market actually defends.
ZLEMA Trend Index 2.0ZTI — ZLEMA Trend Index 2.0 (0–1000)
Overview
Price Mapped ZTI v2.0 - Enhanced Zero-Lag Trend Index.
This indicator is a significant upgrade to the original ZTI v1.0, featuring enhanced resolution from 0-100 to 0-1000 levels for dramatically improved price action accuracy. The Price Mapped ZTI uses direct price-to-level mapping to eliminate statistical noise and provide true proportional representation of market movements.
Key Innovation: Instead of statistical normalization, this version maps current price position within a user-defined lookback period directly to the ZTI scale, ensuring perfect correlation with actual price movements. I believe this is the best way to capture trends instead of directly on the charts using a plethora of indicators which introduces bad signals resulting in drawdowns. The RSI-like ZTI overbought and oversold lines filter valid trends by slicing through the current trading zone. Unlike RSI that can introduce false signals, the ZTI levels 1 to 1000 is faithfully mapped to the lowest to highest price in the current trading zone (lookback period in days) which can be changed in the settings. The ZTI line will never go off the beyond the ZTI levels in case of extreme trend continuation as the trading zone is constantly updated to reflect only the most recent bars based on lookback days.
Core Features
✅ 10x Higher Resolution - 0-1000 scale provides granular movement detection
✅ Adjustable Trading Zone - Customizable lookback period from 1-50 days
✅ Price-Proportional Mapping - Direct correlation between price position and ZTI level
✅ Zero Statistical Lag - No rolling averages or standard deviation calculations
✅ Multi-Strategy Adaptability - Single parameter adjustment for different trading styles
Trading Zone Optimization
📊 Lookback Period Strategies
Short-term (1-3 days):
Ultra-responsive to recent price action
Perfect for scalping and day trading
Tight range produces more sensitive signals
Medium-term (7-14 days):
Balanced view of recent trading range
Ideal for swing trading
Captures meaningful support/resistance levels
Long-term (21-30 days):
Broader market context
Excellent for position trading
Smooths out short-term market noise
⚡ Market Condition Adaptation
Volatile Markets: Use shorter lookback (3-5 days) for tighter ranges
Trending Markets: Use longer lookback (14-21 days) for broader context
Ranging Markets: Use medium lookback (7-10 days) for clear boundaries
🎯 Timeframe Optimization
1-minute charts: 1-2 day lookback
5-minute charts: 2-5 day lookback
Hourly charts: 7-14 day lookback
Daily charts: 21-50 day lookback
Trading Applications
Scalping Setup (2-day lookback):
Super tight range for quick reversals
ZTI 800+ = immediate short opportunity
ZTI 200- = immediate long opportunity
Swing Trading Setup (10-day lookback):
Meaningful swing levels captured
ZTI extremes = high-probability reversal zones
More stable signals, reduced whipsaws
Advanced Usage
🔧 Real-Time Adaptability
Trending days: Increase to 14+ days for broader perspective
Range-bound days: Decrease to 3 days for tighter signals
High volatility: Shorter lookback for responsiveness
Low volatility: Longer lookback to avoid false signals
💡 Multi-Timeframe Approach
Entry signals: Use 7-day ZTI on main timeframe
Trend confirmation: Use 21-day ZTI on higher timeframe
Exit timing: Use 3-day ZTI for precise exits
🌐 Session Optimization
Asian session: Shorter lookback (3-5 days) for range-bound conditions
London/NY session: Longer lookback (7-14 days) for trending conditions
How It Works
The indicator maps the current price position within the specified lookback period directly to a 0-1000 scale and plots it using ZLEMA (Zero Lag Exponential Moving Average) which has the least lag of the available popular moving averages:
Price at recent high = ZTI at 1000
Price at recent low = ZTI at 1
Price at mid-range = ZTI at 500
This creates perfect proportional representation where every price movement translates directly to corresponding ZTI movement, eliminating the false signals common in traditional oscillators.
This single, versatile indicator adapts to any market condition, timeframe, or trading style through one simple parameter adjustment, making it an essential tool for traders at every level.
Credits
ZLEMA techniques widely attributed to John Ehlers.
Disclaimer
This tool is for educational purposes only and is not financial advice. Backtest and forward‑test before live use, and always manage risk.
Please note that I set this as closed source to prevent source code cloning by others, repackaging and republishing which results in multiple confusing choices of the same indicator.
