Momentum Variance OscillatorWhat MVO measures:
-PV (Price-Volume) Oscillator – how far price is from a volatility-scaled basis, then weighted by relative volume.
- > 0 = bullish pressure; < 0 = bearish pressure.
-|PV| larger ⇒ stronger momentum.
-Signal line (EMA of PV) – a smoother track of PV; crossings flag momentum shifts.
-Zero line gradient – instantly shows direction (greenish bull / reddish bear) and strength (paler → stronger).
-Extreme bands (±obLevel) – “hot zone” thresholds; being beyond them = exceptional push.
-Variance histogram – MACD-like view (PV minus slower PV-EMA) to see thrust building vs. fading.
-(Optional) Bar coloring & background tint – paints price bars and/or the panel on key events so you can read the regime at a glance.
-Auto-Tune – searches a grid of (obLevel, weakLvl) pairs and (optionally) auto-applies the best, ranked by CAGR vs. drawdown.
Core signals & how to trade them:
1) Define the regime:
-Bullish regime: PV above 0 and/or PV above Signal; zero line is in bull gradient.
-Bearish regime: PV below 0 and/or PV below Signal; zero line is in bear gradient.
-Action: Prefer trades with the regime (avoid fading strong color/strength unless you have a clear reversal setup).
2) Entries:
Momentum entry:
-Long: PV crosses above Signal while PV > 0.
-Short: PV crosses below Signal while PV < 0.
Breakout/acceleration:
-Long add-on: PV crosses above +obLevel (extreme top) and holds.
-Short add-on: PV crosses below −obLevel (extreme bottom) and holds.
-Histogram confirm: Growing bars in your direction = thrust improving; shrinking/flip = thrust stalling.
3) Exits / risk:
-Soft exit / tighten stops: PV loses the extreme and re-enters inside, or histogram fades/turns against you.
-Hard exit / reverse: Opposite PV↔Signal crossover and PV crosses the zero line.
-Weak zone filter: If |PV| < weakLvl, treat signals as lower quality (smaller size or skip).
4) Practical setup - Suggested defaults (good starting point):
-Signal length: 26
-Volume power: 0.50
-obLevel (extreme): 2.00
-weakLvl: 0.75
-Show histogram & dots: On
-Auto-Tune (recommended)
-Turn Auto-Select Best ON. MVO will scan obLevel 1.50→3.00 (step 0.05) and weakLvl 0.50→1.00 (step 0.05), then use the top-ranked pair (CAGR/(1+MDD)).
-If you want to see the top combos, enable the Optimizer Table (Top-3).
5) Visual options
-Bar Colors: Regime+Strength – bars follow the zero-line gradient (great for quick read).
-Extremes – paint only when beyond ±obLevel.
-Cross Signals – paint only on the bar that crosses an extreme.
-Background on breach: A one-bar tint when PV crosses an extreme.
6) Example playbook:
Long setup:
-Zero line shows bull gradient and PV > 0.
-PV crosses above Signal (entry).
-If PV drives above +obLevel, consider add-on; trail under the last minor swing or use ATR.
-Exit/trim on PV crossing below Signal or histogram turning negative; flatten on a drop through 0.
Short setup mirrors the above on the bear side.
7) Tips to avoid common traps:
-Don’t fade strong extremes without clear confirmation (e.g., PV re-entering inside + histogram flip).
-Respect the weak zone: if |PV| < weakLvl, signals are fragile—size down or wait.
-Align with structure: higher-timeframe trend and SR improve expectancy.
-Instrument personality matters: use Auto-Tune or re-calibrate obLevel/weakLvl across assets/timeframes.
8) Alerts you can set:
-Bull Signal X – PV crossed above Signal
-Bear Signal X – PV crossed below Signal
-Bull Baseline X – PV crossed above 0
-Bear Baseline X – PV crossed below 0
Pengayun
Ultimate Crypto Trend & Liquidity Screener v11. Overview & Originality
This script is an advanced, all-in-one screening tool designed specifically to identify high-potential, trend-following opportunities within the cryptocurrency market. While many screeners focus on single conditions, the "Ultimate Crypto Trend & Liquidity Screener" is original in its multi-layered approach, combining seven distinct logical checks into a single, cohesive framework.
Its primary innovation is the calculation of a "Total Score," which quantifies how well an asset conforms to the ideal characteristics of a tradable trend. This allows traders to move beyond simple binary (yes/no) filtering and instead rank the entire market to find the absolute best candidates that match their strategy.
The script is fully compatible with the TradingView Pine Screener, outputting each individual condition and the Total Score as separate columns for powerful, flexible market analysis.
2. Core Concepts & How It Works
This screener is built on the core principles of classic trend-following. It evaluates assets against a comprehensive checklist to ensure they are not only trending, but are also liquid, volatile, and at a strategic entry point.
The script systematically checks for:
Liquidity: Ensures the asset is actively traded with significant dollar volume, which is crucial for minimizing slippage. It checks both the daily turnover and the 30-day average volume.
Trend Confirmation: Utilizes a dual-moving average system (20/50 SMA default) to confirm the underlying trend direction. It also includes an optional filter to ensure the long-term moving average is actively sloping upwards, confirming trend health.
Trend Strength: Employs the Average Directional Index (ADX) to measure the strength of the trend, filtering out weak or choppy price action.
Momentum: Uses the Relative Strength Index (RSI) to confirm that the asset has positive momentum, as strong trends are supported by sustained buying pressure.
Volatility: Measures volatility using the Average True Range (ATR) as a percentage of the price. This ensures the asset has enough movement to be profitable, a key factor in the 24/7 crypto market.
Strategic Entry: Offers a user-selectable "Entry Mode." You can choose between:
Breakout Mode: Identifies assets breaking out to new highs on a surge of volume.
Pullback Mode: Identifies assets already in a strong uptrend that are experiencing a healthy dip to a key moving average, offering a potentially better risk/reward entry.
3. How to Use This Script
This indicator is designed for two primary workflows:
Single-Asset Analysis: When you apply the script to any crypto chart, a detailed diagnostic table will appear in the bottom-right corner. This table provides a real-time checklist, showing true or false for each of the 7 conditions and the final score, allowing for a quick and deep analysis of any individual asset.
Full Market Screening (Recommended):
Open the Crypto Screener on TradingView.
Click the "Filters" button and at the bottom of the menu, select this script ("Ultimate Crypto Trend & Liquidity Screener").
Click the "Columns" button on the screener and add the columns generated by this script, such as "Total Score," "Liquidity OK," "Entry Signal OK," etc.
You can now sort the entire crypto market by "Total Score" to instantly find the strongest candidates, or filter for assets that meet specific conditions (e.g., Total Score > 5 ).
4. Inputs & Customization
All parameters within this script are fully customizable via the "Settings" menu. The default values have been tuned for general use in the crypto market (e.g., faster moving averages, higher volatility thresholds), but you are encouraged to adjust them to fit your specific trading style, preferred timeframes, and risk tolerance.
5. Disclaimer
This tool is designed for educational and analytical purposes to aid in the decision-making process. It does not provide financial advice or guarantee trading success. Past performance is not indicative of future results. Always use this screener in conjunction with your own comprehensive analysis and robust risk management practices. This script is published open-source to encourage community learning and collaboration.
ReqoverAI Indicator Zero LagPrecision-Engineered AI tool for Multi-Asset Trading Strategies. This AI tool is designed to work for all time frames and asset classes (like Stocks, Commodities, Forex, Crypto and other Digital Assets)
orderflow, moneyflow, confluence, divergence, momentumorderflow, moneyflow, confluence, divergence, momentum
Futures Correlation Dashboard# 📊 Futures Correlation Dashboard
## Track Multiple Market Indicators in One View
Monitor ES, NQ, YM, VIX, USI:ADD , and USI:TICK simultaneously to see how the futures markets are moving together in real-time.
---
## 🎯 What's Included
**6 Market Instruments:**
- **ES** - S&P 500 Futures
- **NQ** - Nasdaq 100 Futures
- **YM** - Dow Jones Futures
- **VIX** - Volatility Index
- ** USI:ADD ** - NYSE Advance-Decline Line
- ** USI:TICK ** - NYSE Tick Index
**Live Data Table:**
- Current prices and percentage changes
- Real-time status indicators
- Market sentiment overview
---
## 📈 Features
✅ Multi-panel layout showing all 6 instruments simultaneously
✅ Customizable alert thresholds for USI:ADD and USI:TICK
✅ Color-coded visual indicators
✅ Works on any timeframe
✅ Live updates with market data
---
## 🔔 Alert Conditions
Set alerts for:
- USI:ADD crossing your custom thresholds
- USI:TICK extreme readings
- VIX movement patterns
- Confluence between multiple indicators
*Configure alert levels in the indicator settings.*
---
## ⚙️ Customizable Settings
Adjust thresholds for:
- USI:ADD bullish/bearish levels
- USI:TICK bullish/bearish levels
- USI:TICK extreme readings
- Display options for each instrument
---
## 💡 Use Cases
**Monitoring Market Activity:**
See multiple futures contracts and market internals without switching between charts.
**Correlation Analysis:**
Watch how different instruments move relative to each other throughout the trading session.
**Data Aggregation:**
Consolidate key market data into a single, organized view for faster decision-making.
---
## ⚠️ Requirements
- TradingView Premium or higher (for real-time multi-symbol data)
- Data subscriptions for: CME futures, CBOE VIX, and NYSE internals ( USI:ADD , USI:TICK )
- Compatible with all timeframes
---
## 📊 Who Is This For?
- Futures traders wanting consolidated market data
- Day traders monitoring multiple instruments
- Anyone interested in tracking market breadth alongside price action
- Traders who want to see correlations between ES, NQ, YM and market internals
---
## Technical Specifications
- Built with Pine Script v5
- Uses `request.security()` for multi-symbol data
- Real-time calculations and updates
- Minimal chart space usage with organized panel layout
---
*This indicator displays market data and calculated values. It does not provide trading signals or recommendations. Use at your own risk and always practice proper risk management.*
RSI + Stochastic для M1 скальпингаRSI + Stochastic for M1 Scalping
This indicator combines Relative Strength Index (RSI) and Stochastic Oscillator into a single tool designed specifically for short-term scalping on the 1-minute chart. While both oscillators are widely used, they often produce many signals on their own. This script focuses on signal confirmation through synchronization, which reduces false entries and helps scalpers react faster in fast-moving markets.
How it works
RSI (7-period by default) tracks short-term momentum and highlights overbought (>70) or oversold (<30) conditions.
Stochastic Oscillator (%K = 5, %D = 3, smoothing = 3) adds sensitivity to micro-swings, providing context for intraday momentum.
The indicator generates a visual background highlight only when both oscillators confirm the same condition:
Green zone → RSI and Stochastic are both oversold, suggesting potential exhaustion of downward pressure.
Red zone → RSI and Stochastic are both overbought, indicating potential exhaustion of upward pressure.
Why this mashup is different
Rather than simply plotting RSI and Stochastic together, this tool emphasizes confluence-based filtering:
Signals appear only at extreme conditions across both oscillators, which helps reduce market noise common on M1 charts.
Background coloring makes it easier to spot high-probability setups visually, without needing to interpret multiple plots separately.
The parameter defaults are optimized for scalping strategies, but users can adjust them to fit their style.
How to use
Best suited for M1 and M5 timeframes where overbought/oversold conditions appear frequently.
Can be used to time entries and exits around support/resistance or trend continuation zones.
Works well as a confirmation filter alongside price action or volume-based indicators.
⚠️ Disclaimer: This indicator does not guarantee profitable trades. Always test on demo accounts and combine with risk management before applying to live markets.
BTC Mayer Multiple Glassnode A sophisticated on-chain inspired indicator that measures Bitcoin's fair value using the Mayer Multiple metric, presented in Glassnode's signature visual style. This tool helps traders identify optimal entry and exit zones based on Bitcoin's deviation from its 200-day moving average.
📊 What is Mayer Multiple?
The Mayer Multiple is a ratio of Bitcoin's current price divided by its 200-day moving average. Created by Trace Mayer, this metric has historically been effective at identifying market tops and bottoms. Values below 1.0 suggest undervaluation, while values above 2.4 indicate potential overvaluation.
🎯 Key Features
Glassnode-Inspired Design: Premium dark theme with professional color gradients matching industry-leading analytics platforms
Dynamic Color Zones: Six distinct valuation levels from Extreme Buy to Bubble territory
Real-Time Statistics Panel: Live tracking of current multiple, 1-year high/low, averages, and risk assessment
Multi-View Visualization: Choose between histogram bars, line chart, or both for optimal chart clarity
Actionable Signals: Clear buy/sell/hold recommendations based on current market valuation
📈 Valuation Zones Explained
🟢 Extreme Buy Zone (< 0.8): Historical accumulation opportunity - Bitcoin trading significantly below 200MA
🟡 Undervalued (0.8-1.2): Below fair value - favorable risk/reward for long-term positions
⚪ Fair Value (1.2-1.8): Balanced market conditions - hold existing positions
🟠 Overvalued (1.8-2.4): Above fair value - consider taking partial profits
🔴 Extreme Sell (2.4-3.5): Historical distribution zone - high probability of correction
🟣 Bubble Territory (> 3.5): Extreme overvaluation - historical cycle tops
⚙️ Customization Options
Adjustable MA period (default 200-day for traditional analysis)
Smoothing filter to reduce noise
Toggle histogram, line chart, and reference lines independently
Customizable transparency and histogram width
Movable statistics panel for clean chart layout
💡 How to Use
Accumulation Strategy: Buy when Mayer Multiple drops below 1.0, especially during extreme dips below 0.8
Distribution Strategy: Take profits when multiple exceeds 2.4, particularly above 3.5
Trend Confirmation: Values consistently above 1.0 confirm bull market momentum
Risk Management: Use risk level indicator to adjust position sizing
📊 Statistics Panel Includes
Current Mayer Multiple value with color-coded status
Action signal (Strong Buy → Extreme Sell)
1-year high, low, and average for context
Current BTC price and MA200 reference
Risk level assessment for position management
🔔 Alert System
Built-in alerts for all key threshold crossovers:
Extreme Buy Zone entry (< 0.8)
Undervalued Zone entry (< 1.2)
Overvalued Zone entry (> 2.4)
Extreme Sell Zone entry (> 3.5)
🎓 Best Practices
Use on daily or weekly timeframes for most reliable signals
Combine with other indicators for confluence
Historical data shows multiple below 1.0 offers asymmetric risk/reward
Values above 2.4 preceded most major corrections
Not suitable for intraday trading or scalping
⚠️ Important Notes
This indicator is based on historical patterns and does not guarantee future performance. The Mayer Multiple works best on longer timeframes and should be used as part of a comprehensive trading strategy. Markets can remain overbought or oversold for extended periods.
Compatible with TradingView Pine Script v6 | Works on all Bitcoin pairs | Optimized for BTC/USD and BTC/USDT
Katana_Fox RSI Pro - Advanced Momentum Indicator with Clear BUOverview:
Connors RSI Pro is a sophisticated enhancement of the classic Connors RSI indicator, designed for traders who demand professional-grade tools. This premium version combines multiple momentum components with intelligent signaling and beautiful visualization to give you an edge in the markets.
Key Features:
🎯 Clear BUY/SELL Signal System
BUY signals in green when CRSI crosses above oversold level
SELL signals in red when CRSI crosses below overbought level
Clean, professional labels that are easy to read
Customizable overbought/oversold levels (70/30 default)
🎨 Professional Visualization
Modern color scheme that adapts to market conditions
Customizable background fills for better readability
Smooth, easy-to-read line plotting
⚡ Enhanced Calculations
Triple-component momentum analysis (RSI, UpDown RSI, Percent Rank)
EMA smoothing for reduced noise and false signals
Configurable lengths for each component
🔔 Advanced Alert System
4 distinct alert conditions for various market scenarios
Compatible with TradingView's native alert system
Perfect for automated trading strategies
Input Parameters:
RSI Length (3): Period for standard RSI calculation
UpDown Length (2): Period for UpDown RSI component
ROC Length (100): Period for Rate of Change percentile ranking
Signal Alerts: Toggle BUY/SELL signals on/off
Custom Colors: Choose between classic and modern color schemes
Trading Signals:
BUY (Green Label): Bullish signal when CRSI crosses above oversold level
SELL (Red Label): Bearish signal when CRSI crosses below overbought level
Background Colors: Visual zones indicating momentum strength
Ideal For:
Swing traders seeking momentum reversals
Day traders looking for overbought/oversold conditions
Algorithmic traders needing reliable signals
Technical analysts wanting multi-timeframe confirmation
How to Use:
Oversold Bounce: Enter long when CRSI shows BUY signal above 30
Overbought Rejection: Enter short when CRSI shows SELL signal below 70
Trend Confirmation: Use the 50-level crossover for trend direction
Divergence Trading: Look for price/indicator divergences at extremes
Upgrade your trading arsenal with Connors RSI Pro - where professional analytics meet clear trading signals!
VWAP Deviation Oscillator [BackQuant]VWAP Deviation Oscillator
Introduction
The VWAP Deviation Oscillator turns VWAP context into a clean, tradeable oscillator that works across assets and sessions. It adapts to your workflow with four VWAP regimes plus two rolling modes, and three deviation metrics: Percent, Absolute, and Z-Score. Colored zones, optional standard deviation rails, and flexible plot styles make it fast to read for both trend following and mean reversion.
What it does
This tool measures how far price is from a chosen VWAP and expresses that gap as an oscillator. You can view the deviation as raw price units, percent, or standardized Z-Score. The plot can be a histogram or a line with optional fills and sigma bands, so you can quickly spot polarity shifts, overbought and oversold conditions, and strength of extension.
VWAP modes track a session VWAP that resets (4H, Daily, Weekly) or a rolling VWAP that updates continuously over a fixed number of bars or days.
Deviation modes let you choose the lens: Percent, Absolute, or Z-Score. Each highlights different aspects of stretch and mean pressure.
Visual encoding uses a 10-zone color palette to grade the magnitude of deviation on both sides of zero.
Volatility guards compute mode-specific sigma so thresholds are stable even when volatility compresses.
Why this works
VWAP is a high signal anchor used by institutions to gauge fair participation. Deviations around VWAP cluster in regimes: mild oscillations within a band, decisive pushes that signal imbalance, and standardized extremes that often precede either continuation or snapback. Expressing that distance as a single time series adds clarity: bias is the oscillator’s sign, risk context is its magnitude, and regime is the way it behaves around sigma lines.
How to use it
Trend following
Favor the side of the zero line. Bullish when the oscillator is above zero and making higher swing highs. Bearish when below zero and making lower swing lows. Use +1 sigma and +2 sigma in your mode as strength tiers. Pullbacks that hold above zero in uptrends, or below zero in downtrends, are often continuation entries.
Mean reversion
Fade stretched readings when structure supports it. Look for tests of +2 sigma to +3 sigma that fail to progress and roll back toward zero, or the mirror on the downside. Z-Score mode is best when you want standardized gates across assets. Percent mode is intuitive for intraday scalps where a given percent stretch tends to mean revert.
Session playbook
Use Daily or Weekly VWAP for intraday or swing context. Rolling modes help when the asset lacks clean session boundaries or when you want a continuous anchor that adapts to liquidity shifts.
Key settings
VWAP computation
VWAP Mode = 4 Hours, Daily, Weekly, Rolling (Bars), Rolling (Days). Session modes reset the VWAP when a new session begins. Rolling modes compute VWAP over a fixed trailing window.
Rolling (Lookback: Bars) controls the trailing bar count when using Rolling (Bars).
Rolling (Lookback: Days) converts days to bars at runtime and uses that trailing span.
Use Close instead of HLC3 switches the price reference. HLC3 is smoother. Close makes the anchor track settlement more tightly.
Deviation measurement
Deviation Mode
Percent : 100 * (Price / VWAP - 1). Good for uniform scaling across instruments.
Absolute : Price - VWAP. Good when price units themselves matter.
Z-Score : Standardizes the absolute residual by its own mean and standard deviation over Z/Std Window . Ideal for cross-asset comparability and regime studies.
Z/Std Window sets the mean and standard deviation window for Z-Score mode.
Volatility controls
Percent Mode Volatility Lookback estimates sigma for percent deviations.
Absolute Mode Volatility Lookback estimates sigma for absolute deviations.
Minimum Sigma Guard (pct pts) prevents the percent sigma from collapsing to near zero in extremely quiet markets.
Visualization
Plot Type = Histogram or Line. Histogram emphasizes impulse and polarity changes. Line emphasizes trend waves and divergences.
Positive Color / Negative Color define the palette for line mode. Histogram uses a 10-bucket gradient automatically.
Show Standard Deviations plots symmetric rails at ±1, ±2, ±3 sigma in the current mode’s units.
Fill Line Oscillator and Fill Opacity add a soft bias band around zero for line mode.
Line Width affects both the oscillator and the sigma rails.
Reading the zones
The oscillator’s color and height map deviation to nine graded buckets on each side of zero, with deeper greens above and deeper reds below. In Percent and Absolute modes, those buckets are scaled by their mode-specific sigma. In Z-Score mode the bucket edges are fixed at 0.5, 1.0, 2.0, and 2.8.
0 to +1 sigma weak positive bias, usually rotational.
+1 to +2 sigma constructive impulse. Pullbacks that hold above zero often continue.
+2 to +3 sigma strong expansion. Watch for either trend continuation or exhaustion tells.
Beyond +3 sigma statistical extreme. Requires structure to avoid fading too soon.
Mirror logic applies on the negative side.
Suggested workflows
Trend continuation checklist
Pick a session VWAP that matches your timeframe, for example Daily for intraday or Weekly for position trades.
Wait for the oscillator to hold the correct side of zero and for a sequence of higher swing lows in the oscillator (uptrend) or lower swing highs (downtrend).
Buy pullbacks that stabilize between zero and +1 sigma in an uptrend. Sell rallies that stabilize between zero and -1 sigma in a downtrend.
Use the next sigma band or a prior price swing as your target reference.
Mean reversion checklist
Switch to Z-Score mode for standardized thresholds.
Identify tests of ±2 sigma to ±3 sigma that fail to extend while price meets support or resistance.
Enter on a polarity change through the prior histogram bar or a small hook in line mode.
Fade back to zero or to the opposite inner band, then reassess.
Notes on the three modes
Percent is easy to reason about when you care about proportional stretch. It is well suited to intraday and multi-asset dashboards.
Absolute tracks cash distance from VWAP. This is useful when instruments have tight ticks and you plan risk in price units.
Z-Score standardizes the residual and is best for quant studies, cross-asset comparisons, and threshold research that must be scale invariant.
What the alerts can tell you
Polarity changes at zero can mark the start or end of a leg.
Crosses of ±1 sigma identify overbought or oversold in the current mode’s units.
Zone changes signal an upgrade or downgrade in deviation strength.
Troubleshooting and edge cases
If your instrument has long flat periods, keep Minimum Sigma Guard above zero in Percent mode so the rails do not vanish.
In Rolling modes, very short windows will respond quickly but can whip around. Session modes smooth this by resetting at well known boundaries.
If Z-Score looks erratic, increase Z/Std Window to stabilize the estimate of mean and sigma for the residual.
Final thoughts
VWAP is the anchor. The deviation oscillator is the narrative. By separating bias, magnitude, and regime into a simple stream you can execute faster and review cleaner. Pick the VWAP mode that matches your horizon, choose the deviation lens that matches your risk framework, and let the color graded zones guide your decisions.
r - g Oscillator | Norm + Sigma-BandsThe r–g Oscillator measures the macro-liquidity regime by tracking the gap between real interest rates (r) and nominal GDP growth (g).
It approximates real rate pressure using the 10-Year Treasury yield minus the 5-Year/5-Year forward inflation expectation, and compares that to either Real or Nominal U.S. GDP YoY growth.
Green (g > r): Expansionary backdrop — growth outpaces real yields; liquidity tailwinds.
Red (r > g): Contractionary backdrop — real rates restrictive; liquidity headwinds.
The σ-bands (standard-deviation envelopes) highlight statistically extreme expansions or contractions in the r–g spread.
The “sweet-spot” shading marks moments when r–g breaks strongly above/below zero — early-cycle thrusts or late-cycle stress.
Optional normalization rescales r–g between –1 and +1 to compare across cycles.
Use:
Track shifts in the macro tide rather than short-term waves. Sustained green phases typically align with bull-market environments; red phases often coincide with tightening cycles or recessions. Combine with faster liquidity or breadth measures (e.g., WRESBAL ROC) for tactical confirmation.
WRESBAL ROC Oscillator (Clean)This indicator tracks the rate of change in Federal Reserve reserve balances (WRESBAL) to visualize shifts in systemic liquidity. It measures how quickly reserves are expanding or contracting over a chosen lookback window (default 26 weeks), then smooths the result to highlight durable macro trends rather than short-term noise.
Green = expanding reserves → liquidity easing → risk-asset support
Red = contracting reserves → liquidity tightening → headwind for risk assets
The oscillator is designed for macro context rather than short-term trading. It correlates strongly with major equity and credit cycles, often leading inflection points in the S&P 500 and Nasdaq by several weeks.
Use it to identify transitions between QE (quantitative easing) and QT (quantitative tightening) regimes and to gauge the liquidity environment driving broad market behavior.
Alt buy signal 1H Entry + 4H Confirm (MACD + Stoch RSI + HMA)This indicator is a multi-timeframe (MTF) analysis tool designed for the ALT trading , capturing entry signals on the 1-hour (1H) timeframe and confirming trends on the 4-hour (4H) timeframe. It combines MACD, Stoch RSI, and Hull Moving Average (HMA) to identify precise buy opportunities, particularly at reversal points after a downtrend or during trend shifts. It visually marks both past and current BUY signals for easy reference.
Key Features:
1H Entry Signal (Early Ping): Triggers on a MACD golden cross (below 0) combined with a Stoch RSI oversold cross (below 20), offering an initial buy opportunity.
4H Trend Confirmation (Entry Ready): Validates the trend with a 4H MACD histogram rising (in negative territory) or a golden cross, plus a Stoch RSI turn-up (above 30).
Past BUY Display: Labels past data points where these conditions were met as "1H BUY" or "FULL BUY," facilitating backtesting.
HMA Filter: Optional HMA(16) to confirm price breakouts, enhancing trend validation.
Purpose: Ideal for short-term scalping and swing trading. Supports a two-step strategy: initial partial entry on 1H signals, followed by additional entry on 4H confirmation.
Usage Instructions
Installation: Add the indicator to an IMX/USDT 1H chart on TradingView.
Signal Interpretation:
lime "1H BUY": 1H conditions met, consider initial entry (stop-loss: 3-5% below recent low).
green "FULL BUY": 1H+4H conditions met, confirm trend for additional entry (take-profit: 10% below recent swing high).
Customization: Adjust TF (1H/4H), MACD/Stoch RSI parameters, and HMA usage via the input settings.
Alert Setup: Enable alerts for "ENTRY READY" (1H+4H) or "EARLY PING" (1H only) conditions.
Advantages
Accuracy: Reduces false signals by combining MACD golden cross below 0 with Stoch RSI oversold conditions.
Dual Confirmation: 1H for quick timing and 4H for trend validation, improving risk management.
Visualization: Past BUY points enable easy backtesting and pattern recognition.
Flexibility: 4H confirmation mode adjustable (histogram rise or golden cross).
Limitations
Timeframe Dependency: Optimized for 1H charts; may not work on other timeframes.
Market Conditions: Potential whipsaws in sideways markets; additional filters (e.g., RSI > 50) recommended.
Manual Management: Stop-loss and take-profit require user discretion.
PTM System v1.8 (PF)PTM System Indicator v1.8: Enhanced Precision and Flexibility
The PTM System Indicator is a powerful and comprehensive technical analysis tool designed to help traders make confident and effective trading decisions. By integrating multiple analysis strategies, the PTM System focuses on identifying clear market trends, filtering out noise, and presenting information in an easy-to-understand format, ensuring you don't miss critical market opportunities.
Version 1.8 is a significant upgrade from version 1.6, focusing on enhancing trend identification accuracy and analytical flexibility to meet the needs of traders in all market conditions.
## Key Features of PTM System v1.8:
### 1. Multi-Factor Filtering: Intelligent Signal Filtering for Maximum Quality
The PTM System features a Multi-Factor Filtering system that combines multi-dimensional analysis to deliver high-quality trading signals and significantly reduce false signals. This system includes:
* **Price Action Filter:** Analyzes price behavior to confirm signal strength.
* **Trend Filter (EMA):** Uses multiple Exponential Moving Averages (EMA-S, EMA-M, EMA-L) to accurately identify the main market trend.
* **Momentum Filter (Stochastic):** Uses the Stochastic Oscillator to measure price momentum and identify Overbought/Oversold conditions.
* **Sideway Filter (ADX):** Uses the Average Directional Index (ADX) to detect sideways or trendless market conditions.
**Rationale for Integration:** The combination of these filters creates a synergistic system where each filter validates signals from the others, resulting in highly reliable trading signals. This adaptability allows the PTM System to perform effectively in various market conditions.
### 2. Smooth Heikin Ashi: Superior Trend Smoothing for Unmatched Clarity (New in v1.8)
To address the common issue of frequent color changes in traditional Heikin Ashi during sideways markets, v1.8 introduces **Smooth Heikin Ashi**. This feature uses an EMA to smooth the Heikin Ashi values, providing a clearer and more continuous representation of the underlying trend.
**Value and Benefit:** This feature offers a cleaner, more reliable view of the market trend, helping traders avoid sideways traps and focus on strong, sustained movements.
### 3. Ghost Signals: Unveiling Filtered Opportunities for Deeper Analysis (New in v1.8)
**Ghost Signals** display potential trade setups that were filtered out by the Sideway and Trend filters. This provides deeper insight into how market conditions affect signal generation and helps experienced traders identify hidden opportunities.
### 4. Optimized Time Filter Start Time (New in v1.8)
The default start time for the Time Filter has been adjusted to **20:00** for greater flexibility and better alignment with major trading session openings.
### 5. Auto RR Box: Disciplined Risk Management
The Auto RR Box automatically displays Stop Loss (SL) and Take Profit (TP) levels on the chart, promoting disciplined risk management.
### 6. Comprehensive Customization
PTM System is highly customizable, allowing traders to adjust filter settings, visual elements, and trading hours to fit their unique style.
## Why Every Trader Needs PTM System
In a volatile and complex market, the PTM System provides a crucial edge. It combines in-depth analysis, intelligent filtering, and intuitive visualization to empower traders of all levels to navigate the market with greater efficiency and confidence.
**Value of an Invite-Only Script:** The PTM System is not just a collection of basic indicators; it is a strategically integrated system that delivers high-quality, reliable signals. Its sophisticated filters and unique features like Smooth Heikin Ashi and Ghost Signals provide superior insight and control, justifying its value as a premium, invite-only tool.
Upgrade your trading with the PTM System today!
ADX Colored by AO + DI DifferenceADX Colored by AO + DI Difference pepito
he Average Directional Index (ADX) is a technical analysis indicator used in trading to measure the strength of a trend in an asset's price, such as stocks, forex, or cryptocurrencies. Developed by J. Welles Wilder Jr. in 1978, it’s part of the Directional Movement Index (DMI) system.
MACD cu RSI 7 Fibonacci color levelsMACD with RSI info
The RSI is display as value with changing color as Fibonacci levels.
MACD with RSI color 7 Fibonacci levelsMACD that contain RSI info
The color of RSI is change accordingly with Fibonacci levels, from red till green
EMA Dual with SL/TP ATR basedDouble EMA with cross and direction display.
Calculate stop loss / take profit based on ATR
If entering is not in the recognize direction also SL/TP is display (inversed values)
SL is 2xATR and TP is 4xAT by default - can be change
Also, SL/TP can be calculated at cross or at actual - see the table.
Tunç ŞatıroğluTunç Şatıroğlu's Technical Analysis Suite
Description:
This comprehensive Pine Script indicator, inspired by the technical analysis teachings of Tunç Şatıroğlu, integrates six powerful TradingView indicators into a single, user-friendly suite for robust trend, momentum, and divergence analysis. Each component has been carefully selected and enhanced by beytun to improve functionality, performance, and visual clarity, aligning with Şatıroğlu's approach to technical analysis. The default configuration is meticulously set to match the exact settings of the individual indicators as used by Tunç Şatıroğlu in his training, ensuring authenticity and ease of use for followers of his methodology. Whether you're a beginner or an experienced trader, this suite provides a versatile toolkit for analyzing markets across multiple timeframes.
Included Indicators:
1. WaveTrend with Crosses (by LazyBear, modified): A momentum oscillator that identifies overbought/oversold conditions and trend reversals with clear buy/sell signals via crosses and bar color highlights.
2. Kaufman Adaptive Moving Average (KAMA) (by HPotter, modified): A dynamic moving average that adapts to market volatility, offering a smoother trend-following signal.
3. SuperTrend (by Alex Orekhov, modified): A trend-following indicator that plots dynamic support/resistance levels with buy/sell signals and optional wicks for enhanced accuracy.
4. Nadaraya-Watson Envelope (by LuxAlgo, modified): A non-linear envelope that highlights potential reversals with customizable repainting options for smoother outputs.
5. Divergence for Many Indicators v4 (by LonesomeTheBlue, modified): Detects regular and hidden divergences across multiple indicators (MACD, RSI, Stochastic, CCI, Momentum, OBV, VWMA, CMF, MFI, and more) for early reversal signals.
6. Ichimoku Cloud (TradingView built-in, modified): A multi-faceted indicator for trend direction, support/resistance, and momentum, with enhanced visuals for the Kumo Cloud.
Key Features:
- Authentic Default Settings : Pre-configured to mirror the exact parameters used by Tunç Şatıroğlu for each indicator, ensuring alignment with his proven technical analysis approach.
- Customizable Settings : Enable/disable individual indicators and fine-tune parameters to suit your trading style while retaining the option to revert to Şatıroğlu’s defaults.
- Enhanced User Experience : Modifications improve visual clarity, performance, and usability, with options like repainting smoothing for Nadaraya-Watson and adjustable Ichimoku projection periods.
- Multi-Timeframe Analysis : Combines trend-following, momentum, and divergence tools for a holistic view of market dynamics.
- Alert Conditions : Built-in alerts for SuperTrend direction changes, buy/sell signals, and divergence detections to keep you informed.
- Visual Clarity : Overlays (KAMA, SuperTrend, Nadaraya-Watson, Ichimoku) and pane-based indicators (WaveTrend, Divergences) are clearly distinguished, with customizable colors and styles.
Notes:
- The Nadaraya-Watson Envelope and Ichimoku Cloud may repaint in their default modes. Use the "Repainting Smoothing" option for Nadaraya-Watson or adjust Ichimoku settings to mitigate repainting if preferred.
- Published under the MIT License, with components licensed under GPL-3.0 (SuperTrend), CC BY-NC-SA 4.0 (Nadaraya-Watson), MPL 2.0 (Divergence), and TradingView's terms (Ichimoku Cloud).
Usage:
Add this indicator to your TradingView chart to leverage Tunç Şatıroğlu’s exact indicator configurations out of the box. Customize settings as needed to align with your strategy, and use the combined signals to identify trends, reversals, and divergences. Ideal for traders following Şatıroğlu’s methodologies or anyone seeking a powerful, all-in-one technical analysis tool.
Credits:
Original authors: LazyBear, HPotter, Alex Orekhov, LuxAlgo, LonesomeTheBlue, and TradingView.
Modifications and integration by beytun .
License:
Published under the MIT License, incorporating code under GPL-3.0, CC BY-NC-SA 4.0, MPL 2.0, and TradingView’s terms where applicable.
Nexus Drift | OquantOverview
Nexus Drift is a consensus-based trend tool designed to identify potential long opportunities in trending markets by aggregating signals from multiple technical components. It generates a composite score from seven distinct trend-detection methods, triggering a "LONG" allocation when the score meets a predefined threshold, and shifting to "CASH" otherwise. The script also includes optional visualizations such as an equity curve and performance tables displaying key risk-adjusted metrics like Sharpe ratio, Sortino ratio, Omega ratio, maximum drawdown, and others for both the strategy and a buy-and-hold benchmark. This allows users to evaluate historical performance(remember past performance doesn’t guarantee future results) in a structured way. By combining diverse trend filters, the script aims to reduce noise and provide a more robust signal for trend-following approaches.
Key Factors/Components
The script incorporates seven complementary trend-detection components, each contributing to the overall consensus score:
MAD Median LSMA: A least-squares moving average filtered through a median and adjusted with median absolute deviation bands for outlier resistance.
Smoothed TEMA SD: A triple exponential moving average smoothed and bounded by standard deviation bands to capture trends without too much noise.
Z-Scored ALMA: An Arnaud legoux moving average normalized into a Z-score for trend strength assessment.
EMA Cross: A simple crossover between fast and slow exponential moving averages for basic trend direction.
RSI MA: A moving average of the Relative Strength Index to confirm bullish momentum in trends on a smoothed basis.
SMA SD SuperTrend: A SuperTrend variant using simple moving average and standard deviation for dynamic trailing levels.
WMA MAD Bands: A weighted moving average with median absolute deviation bands for weighted trend tracking with volatility adjustment.
How It Works
The script calculates individual signals from each component, assigning a value of +1 for long conditions, -1 for cash. These are averaged into a composite score, which triggers a long allocation if it meets or exceeds a threshold (0.5), or shifts to cash if equal or below a cash threshold (0). This consensus approach helps filter out conflicting signals, emphasizing agreement across methods to potentially improve reliability in sustained trends. Historical equity is simulated starting from a user-defined date, incorporating daily returns only during long allocations. Performance metrics are computed using standard formulas (e.g., Sharpe as average return over standard deviation, annualized; Sortino focusing on downside deviation; Omega as the ratio of sum positive to sum negative returns). Tables update in real-time on bar close on the chart for quick reference, but all calculations are based on historical data and do not predict future outcomes.
Recommended Use Cases
This script is best suited for trend-following traders or investors focusing on assets with strong directional moves, such as cryptocurrencies on daily or other timeframes. The tool's design was to work well in different markets and timeframes. It performs optimally in markets exhibiting prolonged trends rather than ranging, where consensus may lag or produce fewer/false signals. It is not ideal for short-term scalping, mean-reversion strategies, or assets with low liquidity, as the components are tuned for trend persistence.
Settings and Default Settings
The script includes several inputs for customization:
Strategy Start Date: Defines the backtesting start point (default: 1 Jan 2018). Use this to align with relevant historical periods, but note that shorter datasets may reduce metric reliability and also past performance doesn’t guarantee future results.
Show Strategy Metrics Table: Toggles the display of a table with metrics like max drawdown, intra-trade max drawdown, Sharpe, Sortino, Omega, percent profitable, profit factor, trades, and net profit (default: true).
Show Buy & Hold Table: Toggles a benchmark table with similar metrics for a passive buy-and-hold approach (default: true).
Plot Equity Curve: Displays the simulated strategy equity line (default: false).
Component-specific lengths and multipliers are fixed but chosen to balance responsiveness and smoothness across methods. The long threshold (0.5) requires the majority of the components to agree on a long signal. The script is optimized for daily crypto charts on trending assets, but tested on other timeframes/markets also.
Conclusion
Nexus Drift offers a structured way to gauge trend consensus through diversified components, providing actionable allocations and transparent metrics to support informed decision-making. By focusing on agreement across methods, it seeks to enhance trend detection while highlighting key performance metrics.
⚠️ Disclaimer: This indicator is intended for educational and informational purposes only. Trading/investing involves risk, and past performance does not guarantee future results. Always test and evaluate indicators/strategies before applying them in live markets. Use at your own risk.
Trendoman Indicator Trendoman "Trading Signals" indicator
This is our first indicator that will give signals for buying and selling (With the possibility of setting (Alert). The indicator is optimized for the senior TF (1D and 4h). Signals are given automatically after the closing of the candle.
This indicator combines oscillators (Stochastic, RSI, MACD), adds EMA (50,100,200) to determine the local and medium-term trend, and adds certain conditions (Formulas) to determine entry points and signal generation.
This is the first version of the indicator, and it will be improved and updated. This indicator is provided for informational purposes only.
Индикатор Trendoman "Торговые сигналы"
What does it do and how to use it?
This script was written for me, so I made it for my main timeframe, which is 1D. This is the timeframe I tested it on (Russian and US stock market)
When adding the indicator to the chart, open the daily timeframe (1D).
What will we see?
⚫️BUY or SELL signals on the chart. They appear after the closing of the trading day candlestick, therefore, as soon as you see this signal, you can open a trade (In the settings, you can use (Alert Notification) so that when the signal appears, a notification is triggered on a specific instrument.
⚫️Notification preparation "Prep" on the chart. THIS IS NOT A SIGNAL, it is a regular notification when the price enters the overbought or oversold zone. We use this to set Take-Profit and Stop-lose, as well as to understand that it is dangerous to buy in the overbought zone, and to sell in the oversold zone. If you do not need them, you can disable them in the settings.
⚫️The line in the middle. This is a moving average, which shows the direction of the trend (In the settings
Stop-lose and Take-Profit
Trying to build into this indicator the ability to automatically set Stop-lose and Take-Profit did not lead to anything. The main problems are completely different situations at the time of the signal (Mathematically it is not calculated). Have to count yourself.
To set Stop-lose after the signal.
1. Look at the previous local minimum (If the signal is to buy or local maximum (If the signal is to sell). It can be the body of a candle, the shadow of a candle, or a specific level. The stop is always placed below this level, range, or local minimum or maximum.
To set the Take-Profit after the signal is given. There are several options.
1. Mark the levels. Look at an important support or resistance range, fix part of the position at the level, and set the stop for the remainder at breakeven (Entry Price)
2. Make a risk of 1 to 1. If you do not define levels and markup well, then after changing the Stop-lose, you can put the first take on the same%. Example:
Stop-lose и Take-Profit
When you can't open a position EVEN if the indicator shows a signal.
⚫️ If the indicator shows a signal (BAY or SELL), and the signal candle or the previous one opens with a gap. CANCELLED SIGNAL.
⚫️ If the signal candle has a large impulse (down or up). It's very easy to check, take the last 10 candles, if it's higher than the average, it's better to skip this signal (long stop)
⚫️Illiquid instruments. The second and third echelons are often pumped by market participants. Indicators and candles do not work stably. Do not trade illiquid instruments using this indicator.
Risk management.
As noted above, it is impossible to calculate the exact Stop-lose and Take-Profit mathematically, as each situation is unique (levels, highs, lows, slopes, etc. differ).
If you see that your Take-Profit is less than your Stop-lose, it is best to ignore such a trade (depending on your risk tolerance).
Try to open trades where the Take-Profit is greater than the Stop-lose.
RSI: chart overlay
This indicator maps RSI thresholds directly onto price. Since the EMA of price aligns with RSI’s 50-line, it draws a volatility-based band around the EMA to reveal levels such as 70 and 30.
By converting RSI values into visible price bands, the overlay lets you see exactly where price would have to move to hit traditional RSI boundaries. These bands adapt in real time to both price movement and market volatility, keeping the classic RSI logic intact while presenting it in the context of price action. This approach helps traders interpret RSI signals without leaving the main chart window.
The calculation uses the same components as the RSI: alternative derivation script: Wilder’s EMA for smoothing, a volatility-based unit for scaling, and a normalization factor. The result is a dynamic band structure on the chart, representing RSI boundary levels in actual price terms.
Key components and calculation breakdown:
Wilder’s EMA
Used as the anchor point for measuring price position.
myEMA = ta.rma(close, Length)
Volatility Unit
Derived from the EMA of absolute close-to-close price changes.
CC_vol = ta.rma(math.abs(close - close ), Length)
Normalization Factor
Scales the volatility unit to align with the RSI formula’s structure.
normalization_factor = 1 / (Length - 1)
Upper and Lower Boundaries
Defines price bands corresponding to selected RSI threshold values.
up_b = myEMA + ((upper - 50) / 50) * (CC_vol / normalization_factor)
down_b = myEMA - ((50 - lower) / 50) * (CC_vol / normalization_factor)
Inputs
RSI length
Upper boundary – RSI level above 50
Lower boundary – RSI level below 50
ON/OFF toggle for 50-point line (EMA of close prices)
ON/OFF toggle for overbought/oversold coloring (use with line chart)
Interpretation:
Each band on the chart represents a chosen RSI level.
When price touches a band, RSI is at that threshold.
The distance between moving average and bands adjusts automatically with volatility and your selected RSI length.
All calculations remain fully consistent with standard RSI values.
Feedback and code suggestions are welcome, especially regarding implementation efficiency and customization.
LBR 3/10 'Sardine' Oscillator (ATR-Normalized)LBR 3/10 Oscillator - Short-Term Momentum Indicator
The LBR 3/10 "Sardine" Oscillator is a short-term momentum indicator developed by Linda Bradford Raschke. This ATR-normalized version provides cross-market comparability and consistent extreme levels across all timeframes and asset classes.
What is the LBR 3/10 Oscillator?
The LBR 3/10 is designed to capture very short-term momentum shifts by measuring the difference between a 3-period and 10-period moving average. Named after Linda Bradford Raschke's "Trading Sardines" book, this oscillator excels at identifying rapid momentum changes and potential reversal points.
Formula: / ATR(10) × 100
Where MA can be either Simple Moving Average (SMA) or Exponential Moving Average (EMA).
Why ATR Normalization?
Problem with Traditional Oscillators:
Traditional momentum oscillators produce values that vary dramatically across different markets and time periods. A reading of 5 might be extreme for one asset but insignificant for another.
Solution:
ATR normalization divides the raw momentum value by the Average True Range, creating standardized readings that are:
Comparable Across Markets: Same interpretation whether analyzing stocks, forex, commodities, or crypto
Comparable Across Time: Readings maintain consistent meaning regardless of price levels
Universal Extreme Levels: The ±125 levels work consistently across all assets and timeframes
Statistical Research
Extensive statistical analysis across multiple markets identified the ±125 extreme levels:
+125 Level: Reached approximately 4% of the time (extreme bullish momentum)
-125 Level: Reached approximately 2% of the time (extreme bearish momentum)
These statistically-validated levels provide objective definitions for overbought and oversold conditions, eliminating subjective interpretation.
Key Features
Core Components
LBR 3/10 Line: Main oscillator showing normalized short-term momentum
Signal Line: Smoothed moving average of the oscillator (default: 9-period)
Extreme Levels: Horizontal lines at ±125 marking statistical extremes
Zero Line: Separates bullish and bearish momentum regimes
Visual Elements
Blue Line: LBR 3/10 oscillator (main momentum line)
Red Line: Signal line (smoothed moving average of oscillator)
Fill Area: Light blue shaded region between oscillator and signal line
Background Zones: Light red (overbought above +125) or light green (oversold below -125)
Horizontal Lines: Gray dashed lines at +125, -125, and 0 (zero line solid)
Divergence Markers: Green/red circles marking price/oscillator divergences
Signal Crosses: Small green/red triangles marking oscillator/signal line crossovers
Pullback Markers: Yellow diamond shapes with white "↑PB" or "↓PB" text for first pullback signals
Std Dev Bands: Orange circles marking statistical extreme levels (optional, disabled by default)
Advanced Features
MA Type Selection: Choose between SMA or EMA for both oscillator and signal line
Standard Deviation Bands: Optional adaptive extreme levels based on statistical volatility
Pullback Detection: Identifies high-probability counter-trend entries during established trends
First Pullback Filter: Noise reduction system that highlights initial pullback after trend change
Trading Applications
1. Extreme Level Reversals
When the oscillator reaches ±125, it indicates stretched momentum conditions:
Above +125: Overbought - watch for bearish reversal signals
Below -125: Oversold - watch for bullish reversal signals
2. Signal Line Crossovers
Bullish Cross: Oscillator crosses above signal line (momentum shift up)
Bearish Cross: Oscillator crosses below signal line (momentum shift down)
3. Zero Line Crosses
Signal line crossing zero indicates trend regime changes:
Cross Above 0: Transition to bullish trend
Cross Below 0: Transition to bearish trend
4. Divergence Trading
Bullish Divergence: Price makes lower low, oscillator makes higher low
Bearish Divergence: Price makes higher high, oscillator makes lower high
Best used in combination with other momentum indicators for confirmation
5. Pullback Strategy (High-Probability Setup)
Uptrend Pullback: Signal line positive + oscillator crosses below (buy opportunity)
Downtrend Pullback: Signal line negative + oscillator crosses above (sell opportunity)
First Pullback: Initial counter-trend signal after trend change (highest probability)
6. "Anti" Setup
Linda Bradford Raschke's classic setup:
Wait for extreme reading (±125)
Enter on first pullback signal in opposite direction
Captures momentum exhaustion reversals
Comprehensive Alert System
Extreme Level Alerts
Crossed above +125 (overbought)
Crossed below -125 (oversold)
Divergence Alerts
Bullish divergence detected
Bearish divergence detected
Signal Cross Alerts
Bullish cross (oscillator above signal)
Bearish cross (oscillator below signal)
Trend Change Alerts
Signal line crossed above zero (trend change to bullish)
Signal line crossed below zero (trend change to bearish)
Pullback Alerts
Pullback in uptrend (potential buy)
Pullback in downtrend (potential sell)
FIRST pullback in uptrend (high-probability buy)
FIRST pullback in downtrend (high-probability sell)
Settings & Parameters
LBR 3/10 Settings
Fast MA Length: Short-term period (default: 3)
Slow MA Length: Baseline period (default: 10)
ATR Length: Volatility normalization period (default: 10)
MA Type: SMA or EMA selection
Extreme High Level: Overbought threshold (default: 125)
Extreme Low Level: Oversold threshold (default: -125)
Signal Line
Show Signal Line: Enable/disable display (default: true)
Signal Line Length: Smoothing period (default: 9)
Divergence Detection
Show Divergences: Enable/disable detection (default: true)
Divergence Lookback: Pivot detection period (default: 5)
Standard Deviation Bands
Show Std Dev Bands: Enable/disable adaptive levels (default: false)
Std Dev Multiplier: Band width adjustment (default: 1.5)
Std Dev Length: Calculation period (default: 100)
Best Practices
Trending Markets
Focus on pullback signals in direction of trend
Use first pullback filter for highest-probability entries
Watch for extreme levels as profit-taking zones
Ranging Markets
Trade reversals at extreme levels (±125)
Use divergences with additional momentum indicator confirmation
Avoid signal line crosses near zero (low-quality signals)
Multi-Timeframe Analysis
Higher timeframe: Identify trend direction (signal line above/below zero)
Lower timeframe: Time precise entries using pullback signals
Confirmation: Use additional momentum indicators for signal validation
Risk Management
Reduce position size at extreme levels (increased reversal risk)
Use ATR-based stops (e.g., 2× ATR from entry)
Exit on opposite extreme level or signal line zero cross
Chart Legend - Visual Signal Guide
Lines and Fills
🔵 Blue Line: LBR 3/10 oscillator value
🔴 Red Line: Signal line (9-period MA of oscillator)
💠 Light Blue Fill: Area between oscillator and signal line (visual momentum gauge)
Background Colors
🟥 Light Red Background: Extreme overbought zone (LBR > +125)
🟩 Light Green Background: Extreme oversold zone (LBR < -125)
Horizontal Reference Lines
➖ +125 (Gray Dashed): Overbought extreme level
➖ 0 (Gray Solid): Zero line - trend separator
➖ -125 (Gray Dashed): Oversold extreme level
Signal Markers
🟢 Green Circle: Bullish divergence detected (price lower low, oscillator higher low)
🔴 Red Circle: Bearish divergence detected (price higher high, oscillator lower high)
▲ Green Triangle Up: Bullish signal cross (oscillator crosses above signal line)
▼ Red Triangle Down: Bearish signal cross (oscillator crosses below signal line)
Yellow Diamond "↑PB": First pullback in uptrend (high-probability buy setup)
Yellow Diamond "↓PB": First pullback in downtrend (high-probability sell setup)
Combining with MACD-V+ Indicator
LBR 3/10 and MACD-V+ work together as a powerful two-timeframe momentum system:
Indicator Roles
MACD-V+: Strategic direction (12-26 period) - identifies market regime and lifecycle state
LBR 3/10: Tactical timing (3-10 period) - pinpoints precise entry and exit moments
Key Principles
Strategic Filter: MACD-V+ determines IF you should trade (market regime)
Tactical Timing: LBR 3/10 determines WHEN to enter (precise timing)
Confirmation Reduces Risk: Trade only when both indicators agree
Respect Lifecycle Changes: Exit when MACD-V+ state changes against your position
Methodology
The LBR 3/10 indicator implements statistical analysis and volatility normalization techniques to create a universal short-term momentum tool. This approach enables consistent interpretation across all markets and timeframes.
The indicator implements:
ATR-based normalization for cross-market comparability
Statistical extreme level validation (±125 levels)
Noise reduction through first pullback filtering
Dual MA type support (SMA/EMA) for flexibility
Standard deviation bands for adaptive threshold levels
LBR 3/10 provides traders with a precise tool for short-term momentum analysis and tactical entry timing. Combined with proper risk management and multi-timeframe analysis, it offers objective signals for both trend-following and reversal trading strategies.
This indicator is designed for educational and analytical purposes. Past performance does not guarantee future results. Always conduct thorough research and consider consulting with financial professionals before making investment decisions.
Aggregated Scores Oscillator [Alpha Extract]A sophisticated risk-adjusted performance measurement system that combines Omega Ratio and Sortino Ratio methodologies to create a comprehensive market assessment oscillator. Utilizing advanced statistical band calculations with expanding and rolling window analysis, this indicator delivers institutional-grade overbought/oversold detection based on risk-adjusted returns rather than traditional price movements. The system's dual-ratio aggregation approach provides superior signal accuracy by incorporating both upside potential and downside risk metrics with dynamic threshold adaptation for varying market conditions.
🔶 Advanced Statistical Framework
Implements dual statistical methodologies using expanding and rolling window calculations to create adaptive threshold bands that evolve with market conditions. The system calculates cumulative statistics alongside rolling averages to provide both historical context and current market regime sensitivity with configurable window parameters for optimal performance across timeframes.
🔶 Dual Ratio Integration System
Combines Omega Ratio analysis measuring excess returns versus deficit returns with Sortino Ratio calculations focusing on downside deviation for comprehensive risk-adjusted performance assessment. The system applies configurable smoothing to both ratios before aggregation, ensuring stable signal generation while maintaining sensitivity to regime changes.
// Omega Ratio Calculation
Excess_Return = sum((Daily_Return > Target_Return ? Daily_Return - Target_Return : 0), Period)
Deficit_Return = sum((Daily_Return < Target_Return ? Target_Return - Daily_Return : 0), Period)
Omega_Ratio = Deficit_Return ≠ 0 ? (Excess_Return / Deficit_Return) : na
// Sortino Ratio Framework
Downside_Deviation = sqrt(sum((Daily_Return < Target_Return ? (Daily_Return - Target_Return)² : 0), Period) / Period)
Sortino_Ratio = (Mean_Return / Downside_Deviation) * sqrt(Annualization_Factor)
// Aggregated Score
Aggregated_Score = SMA(Omega_Ratio, Omega_SMA) + SMA(Sortino_Ratio, Sortino_SMA)
🔶 Dynamic Band Calculation Engine
Features sophisticated threshold determination using both expanding historical statistics and rolling window analysis to create adaptive overbought/oversold levels. The system incorporates configurable multipliers and sensitivity adjustments to optimize signal timing across varying market volatility conditions with automatic band convergence logic.
🔶 Signal Generation Framework
Generates overbought conditions when aggregated score exceeds adjusted upper threshold and oversold conditions below lower threshold, with neutral zone identification for range-bound markets. The system provides clear binary signal states with background zone highlighting and dynamic oscillator coloring for intuitive market condition assessment.
🔶 Enhanced Visual Architecture
Provides modern dark theme visualization with neon color scheme, dynamic oscillator line coloring based on signal states, and gradient band fills for comprehensive market condition visualization. The system includes zero-line reference, statistical band plots, and background zone highlighting with configurable transparency levels.
snapshot
🔶 Risk-Adjusted Performance Analysis
Utilizes target return parameters for customizable risk assessment baselines, enabling traders to evaluate performance relative to specific return objectives. The system's focus on downside deviation through Sortino analysis provides superior risk-adjusted signals compared to traditional volatility-based oscillators that treat upside and downside movements equally.
🔶 Multi-Timeframe Adaptability
Features configurable calculation periods and rolling windows to optimize performance across various timeframes from intraday to long-term analysis. The system's statistical foundation ensures consistent signal quality regardless of timeframe selection while maintaining sensitivity to market regime changes through adaptive band calculations.
🔶 Performance Optimization Framework
Implements efficient statistical calculations with optimized variable management and configurable smoothing parameters to balance responsiveness with signal stability. The system includes automatic band adjustment mechanisms and rolling window management for consistent performance across extended analysis periods.
This indicator delivers sophisticated risk-adjusted market analysis by combining proven statistical ratios in a unified oscillator framework. Unlike traditional overbought/oversold indicators that rely solely on price movements, the ASO incorporates risk-adjusted performance metrics to identify genuine market extremes based on return quality rather than price volatility alone. The system's adaptive statistical bands and dual-ratio methodology provide institutional-grade signal accuracy suitable for systematic trading approaches across cryptocurrency, forex, and equity markets with comprehensive visual feedback and configurable risk parameters for optimal strategy integration.