Bull-Bear EfficiencyBull-Bear Efficiency
This indicator measures the directional efficiency of price movement across many historical entry points to estimate overall market bias. It is designed as a trend gauge rather than a timing signal.
Concept
For each historical bar (tau) and a chosen lookahead horizon (h), the script evaluates how efficiently price has traveled from that starting point to the endpoint. Efficiency is defined as the net price change divided by the total absolute movement that occurred along the path.
Formula:
E(tau,h) = ( Price - Price ) / ( Sum from i = tau+1 to tau+h of | Price - Price | )
This measures how "straight" the path was from the entry to the current bar:
If price moved steadily upward, the numerator and denominator are nearly equal, and E approaches +1 (efficient bullish trend).
If price moved steadily downward, E approaches -1 (efficient bearish trend).
If price chopped back and forth, the denominator grows faster than the numerator, and E approaches 0 (inefficient movement).
The algorithm computes this efficiency for many past starting points and multiple horizons, optionally normalizing by ATR to account for volatility. The efficiencies are then weighted by recency to emphasize more recent behavior.
From this, the script derives:
Bull = weighted average of positive efficiencies
Bear = weighted average of negative efficiencies (absolute value)
Net = Bull - Bear (net directional efficiency)
Interpretation
Bull, Bear, and Net quantify how coherently the market has been trending.
Bull near 1.0, Bear near 0.0, Net > 0 -> clean upward trends; long positions have been more efficient.
Bear near 1.0, Bull near 0.0, Net < 0 -> clean downward trends; short positions have been more efficient.
Bull and Bear both small or similar -> low-efficiency, range-bound environment.
Net therefore acts as a "trend coherence index" that measures whether price action is directionally organized or noisy.
Practical Use
Trend filter:
Apply trend-following systems only when Net is strongly positive or negative.
Avoid them when Net is near zero.
Regime change detection:
Crossings through zero often correspond to transitions between trending and ranging regimes.
Momentum loss detection:
If price makes new highs but Net or Bull weakens, it suggests trend exhaustion.
Settings Overview
Lookback: Number of historical bars considered as entry points (tau values).
Horizons: List of forward projection lengths (in bars) for measuring efficiency.
Recency Decay (lambda): Exponential weighting that emphasizes recent data.
Normalize by ATR: Adjusts "effort" to account for volatility changes.
Display Options: Toggle Bull, Bear, Net, or Signed Average (S). Customize line colors.
Notes
This indicator does not produce entry or exit signals.
It is a statistical tool that measures how efficiently price has trended over time.
High Net values indicate smooth, coherent trends.
Low or neutral Net values indicate noisy, directionless conditions.
Sentiment
Background Trend Follower by exp3rtsThe Background Trend Follower indicator visually highlights the market’s daily directional bias using subtle background colors. It calculates the price change from the daily open and shades the chart background according to the current intraday momentum.
🟢 Green background → Price is significantly above the daily open (strong bullish trend)
🔴 Red background → Price is significantly below the daily open (strong bearish trend)
🟡 Yellow background → Price is trading near the daily open (neutral or consolidating phase)
The script automatically detects each new trading day.
It records the opening price at the start of the day.
As the session progresses, it continuously measures how far the current price has moved from that open.
When the move exceeds ±50 points (custom threshold), the background color adapts to reflect the trend strength.
Perfect for traders who want a quick visual sense of intraday bias — bullish, bearish, or neutral — without cluttering the chart with extra indicators.
On-Chain Metrics by AshamazThe script displays market cap, supply, realized price, MVRV, and NUPL for cryptocurrencies when such data is available.
It also plots realized price lines and buy zones at 30%, 50%, and 70% below it, indicating areas of favorable (undervalued) price levels.
TSI Advanced - Enhanced with Signals & AlertsMeasures trend strength and momentum using a double-smoothed price change (True Strength Index), enhanced with automatic signals, divergences, and alerts.
### 🔧 Key Components
* **TSI Line (Blue):** Main momentum measure
* **Signal Line (Pink):** For crossovers (buy/sell)
* **Zero Line:** Defines bullish (above) or bearish (below) zones
* **OB/OS Zones:** +25 = Overbought, -25 = Oversold
### 🚨 Core Signals
1. **Crossovers (Triangles)**
* 🔼 Green = Buy (TSI > Signal)
* 🔽 Red = Sell (TSI < Signal)
2. **Zero Line Cross (Circles)**
* Above 0 → Bullish trend
* Below 0 → Bearish trend
3. **Divergences (Dashed Lines)**
* Green = Bullish divergence
* Red = Bearish divergence
4. **Zone Alerts:** Background turns green/red for OB/OS levels
### 📊 Strategies
* **Crossover Entry:** Trade on crossovers near OB/OS zones
* **Zero Line Momentum:** Ride trend while TSI stays above/below zero
* **Divergence Trading:** Combine divergence + crossover confirmation
* **Trend Confirmation:** Trade only with background color direction
### ⚙️ Recommended Settings
| Style | Long | Short | Signal | OB/OS |
| ------------- | ----- | ----- | ------ | ----- |
| Scalping (5m) | 15–20 | 8–10 | 8–10 | ±20 |
| Swing | 25 | 13 | 13 | ±25 |
| Day Trading | 20 | 10 | 10 | ±22 |
### 🔔 Alerts
* Crossover = Entry
* Zero Cross = Trend confirmation
* OB/OS = Exit or caution
### 💡 Pro Tip
For crypto scalping: bullish crossover in **oversold zone (-25 to -40)** near support + rising volume = high-probability long setup.
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TG t.me
India VIX Based Nifty/BankNifty Range Calculator (Auto Fetch)VIX-Based Expected Daily Range (Auto Volatility Forecast)
Created by: Harshiv Symposium
📖 Purpose
This indicator automatically fetches the India VIX value and calculates the expected daily price range for major Indian indices such as Nifty and BankNifty.
It helps traders understand how much the market is likely to move today based on current volatility conditions.
Designed for educational and analytical awareness, not for signals or profit-making systems.
⚙️ Core Logic
Expected Daily Move (Range) = (India VIX × Current Index Price) ÷ Multiplier
- Multiplier for Nifty: 1000
- Multiplier for BankNifty: 700
This calculation projects the 1-standard-deviation (≈ 68% probability) and 2-standard-deviation (≈ 95% probability) movement zones for the day.
📊 Example
If India VIX = 15 and Nifty = 25,000:
Expected Move ≈ (15 × 25,000) ÷ 1000 = 375 points
Hence,
- 68% Range: 24,625 – 25,375
- 95% Range: 24,250 – 25,750
This gives traders a realistic idea of daily volatility boundaries.
🧭 Key Features
✅ Auto-Fetch India VIX
No need for manual input — automatically pulls live data from NSE:INDIAVIX.
✅ Dynamic Range Visualization
Plots upper/lower boundaries for 1σ and 2σ probability zones with shaded expected-move area.
✅ Dashboard Panel
Displays:
- Current VIX
- Expected Move (in points and %)
- Upper and Lower Ranges
✅ Smart Alerts
Alerts when price crosses upper or lower volatility range — potential breakout signal.
🎯 How It Helps
Intraday Traders:
Know the likely daily movement (e.g., ±220 pts on Nifty) and plan realistic targets or stops.
Options Traders:
Quickly assess whether it’s a seller-friendly (low VIX, small range) or buyer-friendly (high VIX, large range) session.
Risk Managers:
Use volatility context for stop-loss width and position sizing.
Breakout Traders:
If price breaks beyond the 2σ range → indicates potential volatility expansion.
💡 Interpretation Guide
Condition Market Behavior Strategy Insight
VIX ↓ ( < 14 ) Calm / Range-bound Option Selling Edge
VIX ↑ ( > 20 ) Volatile Sessions Option Buying Edge
Price within Range Stable Market Mean Reversion Setups
Price breaks Range Volatility Expansion Breakout Trades
⚠️ Disclaimer
This indicator is for educational and awareness purposes only.
It does not generate buy/sell signals or guarantee returns.
Always apply your own analysis and risk management.
UK Recessions (1956–2023) This is a basic script that shows the UK recession periods with the dates pulled from the Wikipedia page on the UK Recession if you wish to check the reasons behind.
It will not show any future recessions however it may be updated.
MicroX_Trader Psychology Simulatorيحاكي هذا المؤشر مشاعر التفاؤل والخوف لدى المتداول.
It simulates the feelings of optimism and fear in a trader
AlphaZ-Score - Bitcoin Market Cycle IndicatorWHAT IS ALPHAZ-SCORE?
AlphaZ-Score is a Bitcoin-specific market cycle indicator that identifies extreme market conditions (tops and bottoms) by aggregating up to 7 independent on-chain and market metrics into a single normalized z-score. Unlike traditional oscillators that analyze only price action, AlphaZ-Score incorporates blockchain fundamentals, investor profitability metrics, and capital flow data to determine where Bitcoin sits within its long-term market cycle.
The output ranges from -3 (extreme oversold/cycle bottom) to +3 (extreme overbought/cycle top), with readings beyond ±2 indicating high-probability reversal zones.
METHODOLOGY - THE 7-COMPONENT SYSTEM
Each component analyzes Bitcoin's market state from a unique perspective, then gets z-scored (statistical normalization) so all metrics can be compared on equal footing. The final score is a weighted average of all enabled indicators.
Default Configuration (3 indicators enabled):
Stablecoin Supply Ratio (SSRO)
MVRV Z-Score
SOPR Z-Score
Optional Advanced Components (4 indicators disabled by default):
Days Higher Streak Valuation (DHSV)
High Probability OB/OS (HPOB)
Risk Index Z-Score
Comprehensive On-chain Z-Score
COMPONENT BREAKDOWN
1. STABLECOIN SUPPLY RATIO OSCILLATOR (SSRO) - ENABLED BY DEFAULT
What it measures: Ratio of Bitcoin market cap to total stablecoin supply (USDT + USDC)
Data sources:
CRYPTOCAP:BTC - Bitcoin market cap
CRYPTOCAP:USDT - Tether market cap
CRYPTOCAP:USDC - USD Coin market cap
Logic:
SSR = BTC Market Cap / (USDT + USDC Supply)
Z-Score = Standardized SSR over 200 periods
Interpretation:
High SSR (positive z-score): Bitcoin overvalued relative to available stablecoin buying power → Overbought
Low SSR (negative z-score): Massive stablecoin reserves relative to BTC value → Potential bottom (dry powder)
Why it works: Stablecoins represent "dry powder" - capital waiting to enter crypto. When stablecoin supply is high relative to BTC value, it signals accumulation potential. When low, it suggests exhausted buying power.
2. MVRV Z-SCORE - ENABLED BY DEFAULT
What it measures: Market Value to Realized Value ratio, z-scored over 520 periods
Data source: INTOTHEBLOCK:BTC_MVRV
Logic:
MVRV = Market Cap / Realized Cap
Z-Score = (MVRV - Mean) / Std Dev
Interpretation:
High MVRV (positive z-score): Average holder in significant profit → Distribution phase
Low MVRV (negative z-score): Average holder near breakeven/loss → Accumulation phase
Why it works: MVRV compares Bitcoin's market price to its "fair value" (realized price = average cost basis of all coins). Extreme deviations historically mark cycle tops (MVRV > 3.5) and bottoms (MVRV < 1.0).
Historical significance:
2017 top: MVRV z-score ~7
2018 bottom: MVRV z-score ~-1.5
2021 top: MVRV z-score ~6
2022 bottom: MVRV z-score ~-1.0
3. SOPR Z-SCORE - ENABLED BY DEFAULT
What it measures: Spent Output Profit Ratio, smoothed and z-scored
Data source: GLASSNODE:BTC_SOPR
Logic:
SOPR = Value of spent outputs / Value at creation
SOPR EMA = 7-period exponential moving average
Z-Score = Standardized SOPR EMA over 180 periods
Interpretation:
SOPR > 1 (positive z-score): Coins being spent at profit → Potential distribution
SOPR < 1 (negative z-score): Coins being spent at loss → Capitulation/bottom
Why it works: SOPR measures aggregate profitability of spent coins. When holders are forced to sell at losses (SOPR < 1), it indicates capitulation and potential bottoms. When everyone sells at profit (SOPR >> 1), it signals euphoria and potential tops.
4. DAYS HIGHER STREAK VALUATION (DHSV) - DISABLED BY DEFAULT
What it measures: Number of historical bars with prices higher than current level
Logic:
For last N bars, count how many had close > current close
Apply streak decay logic based on price threshold
Z-Score result over lookback period
Interpretation:
Few days higher (negative z-score): Price near all-time highs → Potential overbought
Many days higher (positive z-score): Price deep below historical levels → Oversold
Why it works: Measures how "expensive" current price is relative to history. When 90%+ of historical bars are higher, you're near cycle bottoms.
Settings:
Historical Bars (1000): How far back to look
Threshold & Decay: Sensitivity adjustments
5. HIGH PROBABILITY OVERBOUGHT/OVERSOLD (HPOB) - DISABLED BY DEFAULT
What it measures: Volume-weighted price momentum divergence
Logic:
Volume-weighted Hull MA vs Standard Hull MA
Difference normalized by 100-period SMA
Result inverted and scaled to match z-score range
Interpretation:
Positive score: Volume-weighted momentum diverging up → Overbought
Negative score: Volume-weighted momentum diverging down → Oversold
Why it works: When volume-weighted price movement diverges from standard price movement, it reveals institutional vs retail behavior mismatches.
Settings:
SVWHMA Length (50): Volume-weighted smoothing
HMA Length (50): Standard momentum baseline
Smooth Length (50): Final output smoothing
6. RISK INDEX Z-SCORE - DISABLED BY DEFAULT
What it measures: Modified Puell Multiple approach using realized cap
Data sources:
COINMETRICS:BTC_MARKETCAPREAL - Realized market cap
GLASSNODE:BTC_MARKETCAP - Current market cap
Logic:
Delta = Risk Multiplier × Realized Cap - Historical Realized Cap
Risk Index = (Delta / Market Cap × 100) / 24
Z-Score = Standardized Risk Index over 1500 periods
Interpretation:
High risk (positive z-score): Realized cap growth outpacing market cap → Overextended
Low risk (negative z-score): Market cap collapsed relative to realized cap → Undervalued
Why it works: Compares the rate of realized cap change to market cap. Rapid realized cap growth during low market cap periods signals accumulation.
7. COMPREHENSIVE ON-CHAIN Z-SCORE - DISABLED BY DEFAULT
What it measures: Average of three on-chain metrics: NUPL, SOPR, and MVRV
Data sources:
GLASSNODE:BTC_MARKETCAP - Current market cap
COINMETRICS:BTC_MARKETCAPREAL - Realized cap
GLASSNODE:BTC_SOPR - SOPR data
Logic:
NUPL = (Market Cap - Realized Cap) / Market Cap × 100
SOPR Z-Score = (SOPR - Mean) / Std Dev with EMA smoothing
MVRV = Market Cap / Realized Cap
Final Score = Average of all three z-scores
Interpretation:
Combines profitability (NUPL), spending behavior (SOPR), and valuation (MVRV) into single comprehensive on-chain metric.
AGGREGATION METHODOLOGY
Scoring System:
Each enabled indicator produces a z-score (typically -3 to +3 range)
Scores are weighted equally (weight = 1.0 for all)
Final output = Weighted average of all enabled indicators
Why Equal Weighting:
Each metric analyzes fundamentally different aspects of Bitcoin's market state. Equal weighting prevents any single data source from dominating and ensures diversification.
Customization:
Users can enable/disable indicators to:
Simplify analysis (3 core metrics)
Increase complexity (all 7 metrics)
Focus on specific aspects (only on-chain, only market-based, etc.)
INTERPRETATION GUIDE
Z-Score Ranges:
+3.0 and above - EXTREME OVERBOUGHT
Historical cycle tops
Maximum euphoria
High-probability distribution zone
Consider taking profits
+2.0 to +3.0 - OVERBOUGHT
Late bull market phase
Elevated risk
Cautious positioning recommended
-2.0 to +2.0 - NEUTRAL
Normal market conditions
Trend-following strategies appropriate
-2.0 to -3.0 - OVERSOLD
Early accumulation phase
Fear/capitulation stage
Begin DCA strategies
-3.0 and below - EXTREME OVERSOLD
Historical cycle bottoms
Maximum fear
High-probability accumulation zone
Prime buying opportunity
VISUAL COMPONENTS
1. Main Z-Score Line:
Dynamic color gradient based on value
Green shades: Oversold (buying opportunity)
Red shades: Overbought (distribution zone)
White: Neutral
2. Reference Lines:
0: Neutral baseline
±2: Overbought/Oversold thresholds
±3: Extreme zones (highest probability reversals)
3. Background Shading:
Light green: Oversold (-2 to -3)
Bright green: Extreme oversold (< -3)
Light red: Overbought (+2 to +3)
Bright red: Extreme overbought (> +3)
4. Bar Coloring:
Cyan bars: Oversold conditions
Red bars: Overbought conditions
Default: Neutral
5. Summary Table (Top Right):
Market State: Current condition (Extreme OB/OS, Overbought/Oversold, Neutral)
Z-Score Value: Precise numeric reading
HOW TO USE
For Long-Term Investors (DCA Strategy):
Aggressive accumulation: Z-score < -2 (especially < -3)
Regular accumulation: Z-score between -2 and 0
Hold: Z-score between 0 and +2
Take profits: Z-score > +2 (especially > +3)
For Cycle Traders:
Buy zone: Wait for z-score to drop below -2
Hold through: Ignore noise between -2 and +2
Sell zone: Start distributing when z-score exceeds +2
Exit: Complete exit if z-score reaches +3
Risk Management:
Never buy in extreme overbought (>+3) - Historically always preceded major crashes
Scale into positions - Don't go all-in at any single reading
Use with price action - Confirm with support/resistance levels
Best Timeframes:
1D (Daily): Primary timeframe for cycle analysis
1W (Weekly): Macro cycle perspective
Lower timeframes not recommended (designed for long-term cycles)
SETTINGS CONFIGURATION
General Settings:
Toggle each of 7 indicators on/off
Default: 3 indicators enabled (SSRO, MVRV, SOPR)
Advanced: Enable all 7 for maximum sensitivity
Individual Indicator Settings:
Each indicator has dedicated parameter groups:
DHSV: Historical lookback, threshold decay
HPOB: HMA and VWMA lengths, smoothing
SSRO: Z-score calculation period (200)
MVRV: Z-score length (520)
Risk: Multiplier and z-score length
SOPR: EMA smoothing (7), z-score period (180)
On-chain: Separate lengths for NUPL, SOPR, MVRV components
DATA REQUIREMENTS
Required External Data Sources:
Default configuration (3 indicators):
CRYPTOCAP:BTC - Bitcoin market cap
CRYPTOCAP:USDT - Tether supply
CRYPTOCAP:USDC - USD Coin supply
INTOTHEBLOCK:BTC_MVRV - MVRV ratio
GLASSNODE:BTC_SOPR - SOPR data
Optional indicators require:
GLASSNODE:BTC_MARKETCAP - Market cap (on-chain)
COINMETRICS:BTC_MARKETCAPREAL - Realized cap
Additional Glassnode metrics
Important: This indicator requires TradingView data subscriptions for on-chain metrics. Some data sources may not be available on all accounts.
HISTORICAL PERFORMANCE
Major Cycle Tops Identified:
November 2021: Z-score peaked at ~+2.8 before -50% crash
December 2017: Z-score exceeded +3.0 before -84% bear market
April 2013: Z-score hit extreme overbought before correction
Major Cycle Bottoms Identified:
November 2022: Z-score reached -2.5 before +100% rally
December 2018: Z-score dropped to -2.8 before +300% bull run
January 2015: Z-score hit -3.2 before multi-year bull market
Key Insight: Extreme readings (beyond ±2.5) have preceded major market reversals with high accuracy. The indicator is designed for cycle identification, not short-term trading.
ORIGINALITY - WHY THIS IS UNIQUE
Traditional Cycle Indicators:
Use single metrics (MVRV only, SOPR only, etc.)
No normalization - hard to compare metrics
Fixed thresholds that don't adapt to market evolution
Often proprietary black boxes
AlphaZ-Score Advantages:
Multi-Metric Aggregation: Combines on-chain fundamentals, market structure, and capital flows into single score
Statistical Normalization: Z-scoring allows fair comparison of completely different metrics (market cap ratios vs profitability metrics)
Modular Design: Enable only the metrics you trust or have data access to
Transparent Calculations: All formulas visible in open-source code
Bitcoin-Specific Optimization: Tuned specifically for Bitcoin's 4-year halving cycle and on-chain characteristics
Customizable Weighting: Advanced users can modify weights for different market regimes
Visual Clarity: Single line that clearly shows cycle position, unlike juggling multiple indicators
LIMITATIONS
Requires on-chain data subscriptions - Some metrics need premium TradingView data
Lagging indicator - Identifies cycles after they begin, not predictive
Bitcoin-specific - Not designed for altcoins or traditional markets
Long-term focus - Not suitable for day trading or short-term speculation
Data availability - Historical on-chain data only goes back to ~2010
External dependencies - Relies on Glassnode, CoinMetrics data accuracy
ALERTS
No built-in alerts (indicator designed for visual analysis of long-term cycles). Users can create custom alerts based on z-score thresholds.
BEST PRACTICES
✅ Use on daily or weekly timeframe only
✅ Combine with long-term moving averages (200 MA, 200 WMA)
✅ Wait for extreme readings (beyond ±2) before major decisions
✅ Scale positions - don't go all-in at any single reading
✅ Verify on-chain data sources are updating properly
❌ Don't use for short-term trading (minutes/hours)
❌ Don't ignore price action - confirm with chart patterns
❌ Don't expect perfect timing - cycles can extend beyond extremes
❌ Don't trade solely on this indicator - use as confluence
Not financial advice. This indicator identifies market cycles based on historical patterns and on-chain data. Past performance does not guarantee future results. Always use proper risk management and position sizing.
VIX Overnight Move Percentage@MiniHedgeFunds
An overnight percent move in the VIX used as an indicator below the graph
Zippo Blaze CryptoZippo Blaze Crypto
An advanced trend-following indicator that analyzes cryptocurrency price movements by integrating them with major pairs (BTC, ETH, BNB, etc.). It combines the price with these pairs and overall market dynamics to create a main line, colors this line based on momentum, and adds user-adjustable EMAs on top. This provides a balanced trend analysis by considering connections in the crypto market. It only works for cryptocurrencies; it shows no data for other assets (e.g., Borsa Istanbul stocks).
How It Works?
This system operates using a special method that combines crypto prices with major pairs (like BTC, ETH, BNB) and the price itself:
- Price Movement Line: The main line created by normalizing the crypto price with pairs and market data – it shows movement with major coins, but moves in tandem with the price (the line rises when the price rises, falls when it falls) and synchronizes with pairs.
-- Coloring: Determined based on momentum:
🟢 Green: Upward momentum – upward price movement expected.
🔴 Red: Downward momentum – downward price movement expected.
🔵 Blue: Neutral zone – horizontal movement or uncertainty period.
-- EMAs: Moving averages added on top of the main line (EMA 20, 50, 100, 200). Periods can be changed by the user; other calculations are fixed.
This method strengthens signals by utilizing the interconnected structure of the market and reduces optimization risk.
Key Features:
Pair Integration: Integrates price movement with major pairs like BTC, ETH, BNB, providing a connected view instead of an isolated analysis.
Momentum Coloring: Colors the line for quick trend detection – green and red zones give clear signals.
Verification Tools: EMAs verify the direction of the main line; for example, EMAs turning upward can be used as a long signal, downward as a short signal.
Price Action Levels: When viewed on larger time frames (daily, weekly), important support/resistance levels (PA levels) become more apparent.
Crypto-Focused: Only activates on crypto symbols; remains blank in other markets.
How to Use?
-- Price Movement Line: Main trend indicator – moves in sync with pairs, signals long opportunities in uptrends, short in downtrends.
🟢 Green Line: Upward movement expected (evaluate long positions).
🔴 Red Line: Downward movement expected (evaluate short positions).
🔵 Blue Line: Horizontal or neutral period – avoid opening new positions.
- EMAs: Line and EMA crossovers confirm signals; EMAs turning upward can be interpreted as a long signal, downward as short. Monitor PA levels with EMAs on larger periods.
Time Frame and Usage Recommendations
Best results are achieved on hourly and higher time frames (e.g., 1H, 4H, daily), as pair integration and price movement are clearer in these frames.
Signals may weaken in low-liquidity altcoins; ideal for major cryptocurrencies (BTC, ETH, BNB, etc.).
Use EMAs to detect PA levels on larger periods (daily+) – this provides an advantage in long-term trades.
In short time frames, adjust EMA periods for filtering.
Important Warning
This indicator is developed for technical analysis purposes and does not contain investment advice. Market conditions can change rapidly; even pair integration cannot provide full protection against instant fluctuations. Make all your investment decisions based on your own research, risk management strategies, and professional advice.
TIME Indicator – CET (hour-based) + Bias Forecast + Alerts [EN]TIME Indicator – CET + Bias Forecast + Alerts
What it does
Splits each day (CET/CEST) into 7 fixed time windows: 0–6, 6–9, 9–12, 12–15, 15–18, 18–22, 22–24.
Detects market regime (Bull/Bear/Neutral) automatically from an HTF EMA (configurable), or you can set the regime manually.
Maps each day-of-week × window to an expected behavior (Bull/Bear/Neutral/Chop) with strength 1–5 (your research schedule).
Backtests on-the-fly: logs each finished window’s return to compute:
Hit-rate (directional accuracy on Bull/Bear calls)
Average % move (log-return → %)
t-stat (significance)
Observation counts N
Visualizes results via:
Heatmap 7×7 (Days × Windows) with selectable metric (Hit-rate / Avg% / t-stat)
Day (paged) table
Split 2× (long) tables to fit small screens
Forecast panel: shows the next N windows (default 8) with labels and color tint based on category + strength. Uses CET midday anchoring to avoid day-shift bugs.
Regime logic
HTF EMA (length configurable) on a selectable timeframe (HTF for regime/tfStats).
“Bull” when price > EMA (optionally EMA slope > 0); “Bear” when price < EMA (slope < 0); else “Neutral”.
Tip: for 1h charts use tfStats=240 (4h) for a stable bias; for 2h charts consider 240–360; swing traders can go 360–720.
Color language
Green shades = Bull (strength 1–5)
Red shades = Bear (1–5)
Orange = Chop (1–5)
Gray = Neutral/Range (1–5)
Optional: neutral/chop can be tinted by current regime (setting).
Alerts (3 modes)
Every window (baseline) – fires at the start of each window, always (for manual verification).
Qualified window – fires at window start only if stats meet your thresholds: Min N, Min Hit-rate.
Hourly ping (CET) – optional every-hour reminder (also mid-window).
Alert message example
Monday 6–9 — Mild rise (strength 2) | Regime: Bull | Suggest: Long
Hit-rate: 87.4% (N=215) | Avg: 0.23%
Key implementation details
Uses CET/CEST consistently. “Today” is stabilized by CET midday to prevent DOW misalignment across session boundaries.
Windows are computed from CET hour, not exchange sessions, so it’s robust across assets/timezones as long as you want CET logic.
Statistics are maintained in arrays (7×7); each completed window updates N, sum of returns, sum of squares, directional hits, etc.
Heatmap cells compute metric + color strength dynamically; you can switch the displayed metric from the input.
Inputs (most useful)
Market regime: Auto (EMA) / Bull / Bear / Neutral
EMA length (Auto), HTF for regime (minutes), Require slope
Results view: Heatmap 7×7 / Day (paged) / Split 2× (long)
Heatmap metric: Hit-rate / Avg % / t-stat
Forecast: number of upcoming windows, color opacity, tint neutral by regime
Alerts: enable baseline/qualified/hourly, thresholds Min N, Min Hit-rate
How to use
Pick your chart TF (e.g., 1h). Set HTF for regime (e.g., 240) and EMA length (e.g., 100). Keep Require slope = ON for cleaner bias.
Start on Heatmap 7×7 to spot strong day×window pockets. Then use Forecast to see what’s next today/tomorrow.
Turn on ALERT: Every window to get a message at the start of every window; optionally add Qualified for filtered calls.
In TradingView Alerts dialog choose “Any alert() function call” to receive all alert types.
Limitations / notes
This is a statistical bias tool, not a signal generator. Combine with price action, liquidity zones, vol regime, news.
Hit-rates and averages depend on your symbol/timeframe history; results differ across assets and time ranges.
EMA-based regime is HTF-closed; bias flips only after the higher-timeframe bar confirms.
Changelog snapshot (current build)
Pine v6; fixed DOW alignment via CET midday; refactored forecast (next N windows), new baseline/qualified/hourly alerts, color-tinted neutral/chop, improved table layout and text sizing.
If you want, I can also write a short “How to request access” blurb for your private/hidden publication page.
Instructions to Traders
What this tool shows
Day split (CET/CEST): 0–6, 6–9, 9–12, 12–15, 15–18, 18–22, 22–24.
For each Day × Window it displays the expected behavior (Bull/Bear/Neutral/Chop) and strength 1–5 based on historical stats.
Heatmap metrics: Hit-rate, Avg % move, or t-stat.
Quick setup
Chart TF: start on 1h (works on 30m–2h too).
HTF for regime (EMA bias):
1h chart → 240 (4h) recommended
2h chart → 240–360
Swing (4h/1D) → 360–720
EMA length: 100 (default). Keep Require slope = ON for cleaner Bull/Bear bias.
View: start with Heatmap 7×7, then try Forecast to see the next windows.
Forecast panel
Shows the next N upcoming windows (default 8), with labels and color by category + strength.
Uses CET midday anchoring to keep weekdays correct (no “day shift” at midnight).
Alerts
Enable ALERT: Every window (no filters) to get a message at the start of every window.
Optionally enable ALERT: Only when N & Hit-rate ok (filtered alerts) and ALERT: Every hour (CET) ping (hourly reminder).
In TradingView’s Create Alert dialog, select “Any alert() function call” to receive all alert types.
Alert text includes: Day + Window, regime, suggestion (Long/Short/Wait), Hit-rate, N, Avg %.
How to use the bias
Treat it as a context/expectation map, not a blind signal.
Combine with structure (HH/HL, S/R), liquidity, volatility regime, and risk management.
Stronger shades (4–5) = stronger historical tendency; still validate with live price action.
Troubleshooting
Day names wrong? Ensure Timezone = Europe/Bratislava (CET/CEST) in inputs.
“No data / n/a”: load more chart history or switch to a symbol with longer data.
Regime feels too jumpy/laggy: adjust HTF for regime and/or EMA length.
Access / contact
If this script is private and you need access, send your TradingView username with the subject “TIMETrading access”.
For support/feedback: describe your symbol, chart TF, HTF setting, and a screenshot.
Disclaimer: Statistical tendencies ≠ certainty. This is educational research, not financial advice. Always use stops and size risk responsibly.
fmfm200 إضافة مؤشر Call/Put
إضافة مؤشر Call/Put إلى الرسم البياني يسمح للمتداولين برؤية إشارات الشراء والبيع بشكل واضح وسريع. يعمل هذا المؤشر على تحديد اللحظات المناسبة لإدخال صفقات Call (شراء) أو Put (بيع) بناءً على التحليل الفني أو استراتيجيات محددة مسبقًا. يساعد هذا المؤشر في تحسين قرارات التداول وتقليل المخاطر من خلال توفير تنبيهات دقيقة في الوقت الفعلي.
In English:
Adding a Call/Put Indicator
Adding a Call/Put indicator to a chart allows traders to clearly and quickly see buy and sell signals. This indicator identifies the right moments to enter Call (buy) or Put (sell) trades based on technical analysis or pre-defined strategies. It helps improve trading decisions and reduce risks by providing accurate real-time alerts.
26 سبتمبر
MN AUTO SMC & ICT ConceptsMN AUTO SMC & ICT Concepts
🧠 Definition
The MN AUTO SMC & ICT Concepts indicator is an advanced Smart Money Concepts (SMC) toolkit that combines ICT principles, Fair Value Gaps (FVG), Order Blocks (OB), Breaker Blocks (BB), Liquidity Zones, and Market Structure (BOS/CHoCH) into one unified system.
It helps traders identify institutional footprints, price imbalances, and directional bias automatically — ideal for scalpers, intraday, and swing traders who follow ICT or SMC logic.
✨ Core Features
Automatic BOS & CHoCH Detection – Detects structure breaks with precision, including major and minor levels.
Order Blocks (OB) – Highlights valid bullish and bearish OBs with displacement filtering and mitigation logic.
Fair Value Gaps (FVG) – Automatically marks imbalance zones for potential retracement entries.
Liquidity Sweep Detection – Identifies equal highs/lows, inducements, and liquidity traps.
Premium / Discount Zones – Visual Fib-based areas help identify optimal entry (discount) or sell (premium) zones.
Market Structure Visualization – Displays HH, HL, LH, LL, BOS, CHoCH, and MSS transitions dynamically.
Multi-Timeframe (MTF) Analysis – Analyze HTF OB/FVG zones while trading LTF setups.
Smart Filtering – Includes logic for displacement, candle confirmation (engulfing/wick rejection), and overlap validation.
⚙️ User Toggles Explained
🎛️ Structure Options
Show BOS/CHoCH – Toggles structure break visualization.
Structure Type – Choose between Major, Minor, or Both.
MSB Confirmation – Optional extra validation for structure changes.
🟩 Order Block Settings
Enable Order Blocks – Turns on bullish and bearish OB visualization.
Mitigation Mode – OBs auto-adjust as price mitigates them.
Engulfing / Wick Confirmation – Filters out weak OBs using candle confirmations.
Volume Filter (optional) – Highlights OBs formed with high volume for stronger conviction.
🟨 Fair Value Gaps
Enable FVG Zones – Marks imbalanced price ranges.
Overlap Filter – Shows only FVGs overlapping OBs for higher accuracy setups.
Fill Detection – Automatically marks filled/invalidated gaps.
💧 Liquidity Tools
Equal High/Low Detection – Marks double tops/bottoms and inducement zones.
Sweep Detection – Identifies liquidity sweeps (A-B-C model).
Left/Right Liquidity Labels – Custom placement for clarity.
💰 Premium / Discount Zones
Auto Fib Zones – Uses swing-based auto Fibonacci levels (23.6%–78.6%) for premium/discount detection.
Dynamic Updates – Zones shift automatically with new market structure formation.
📊 Visualization
Custom Themes – Choose from Dark, Light, or Dynamic color themes.
Zone Opacity & Width Controls – Adjust for clean, layered visuals.
Label Size Options – Small, Medium, Large display modes.
Alert System – Alerts for BOS, CHoCH, OB/FVG formation, or liquidity sweep.
🧩 How It Works
Detects major swing highs/lows to establish market structure.
Identifies Break of Structure (BOS) or Change of Character (CHoCH).
Validates Order Block (OB) or Fair Value Gap (FVG) responsible for displacement.
Classifies price zones as Premium (Sell Area) or Discount (Buy Area).
Confirms liquidity sweeps and plots Smart Money Targets (SMT) visually.
🎯 Best Use Cases
Scalping: 1min–5min chart using HTF OB/FVG (15m or 1H).
Intraday: 15min–1H chart with BOS + OB confirmation.
Swing Trading: 4H–1D chart to catch institutional moves.
OrderBlocks by exp3rts (Non-Repainting)The OrderBlocks by exp3rts indicator automatically identifies and visualizes bullish and bearish order blocks using confirmed, non-repainting fractals combined with Fair Value Gap (FVG) validation for enhanced accuracy.
This tool is designed to help traders spot high-probability institutional price zones — areas where large buy or sell orders previously caused significant moves — allowing you to anticipate potential reversal, continuation, or mitigation levels with precision.
Core Features
✅ Non-Repainting Logic: Uses confirmed 3- or 5-bar fractals only after full pattern completion.
📈 Dynamic Order Block Detection: Marks both bullish and bearish OBs automatically.
⚖️ FVG Filter (Optional): Optionally require a Fair Value Gap within a user-defined distance to confirm valid OBs.
🎯 Customizable OB Lines: Adjust color, style (solid, dashed, dotted), width, and body/wick placement.
🧹 Auto-Cleanup: Option to remove order block lines once price has been mitigated (touched/filled).
🔺🔻 Fractal Display: Toggle fractal highs/lows on or off for extra structure clarity.
⚡ Optimized for Performance: Uses efficient array management to run smoothly within TradingView’s bar processing limits.
How to Use
Add the indicator to your chart.
Adjust settings such as Fractal Filter (3/5), FVG distance, and Line Style to match your trading preference.
Watch for bullish OBs (green lines) near potential demand zones and bearish OBs (red lines) near supply zones.
Use in confluence with market structure and liquidity concepts for best results.
Settings Overview
Fractal Filter: Choose between 3-bar or 5-bar swing fractals.
Order Block Type: Detect OBs based on Close or High/Low break structure.
FVG Filter: Optionally require nearby Fair Value Gaps.
Delete After Fill: Automatically remove mitigated OBs.
Visuals: Customize line color, thickness, and style for clear chart integration.
Made for any timeframe & any market.
Smart Risk DCA Meter — Adaptive Market Risk EngineThe **Smart Risk DCA Meter** is an adaptive market-risk indicator that helps you invest smarter by scaling your DCA buys based on actual market conditions instead of emotion. It combines momentum, distance from trend, and drawdown factors into a single 0–1 risk score that automatically adjusts to each asset’s volatility — from stable indices like SPX to high-beta assets like BTC. Low readings (green zones) signal opportunity to buy heavier, while high readings (red zones) warn to slow down and protect capital.
MomentumQ Sector MatrixMomentumQ Sector Matrix — Multi-Timeframe & Sector Performance Dashboard
The MomentumQ Sector Matrix is a professional dashboard-style indicator designed to help traders quickly evaluate sector performance and momentum alignment across multiple timeframes.
It provides an instant visual snapshot of how each major U.S. sector is performing, helping traders identify strength, weakness, and rotation trends without switching between charts.
What It Does
MomentumQ Sector Matrix consolidates multi-timeframe return data (1-Month, 1-Week, and 1-Day) into a clean, color-coded table.
Each sector’s cell displays percentage performance, automatically colored green or red based on relative gains or losses.
This tool serves as a sector rotation map , letting traders:
Spot which parts of the market are leading or lagging
Track momentum alignment across monthly, weekly, and daily timeframes
Instantly identify broad market conditions (risk-on vs. risk-off)
Key Features
1. Multi-Timeframe Sector Overview
Displays percentage returns for major SPDR sectors on 1-Month, 1-Week, and 1-Day bases.
Toggle between Today and PrevD (previous day) return modes.
2. Adaptive Table Layout
Fully resizable — choose Small, Medium, or Large table sizes for the best fit on your chart.
Works seamlessly with both light and dark TradingView themes.
3. Light / Dark Mode Support
Switch between modes to automatically match your chart background.
4. Performance-Based Coloring
Green for positive returns, red for negative, gray for neutral.
Provides clear visual contrast even in compact layouts.
5. Instant Market Context
Gain quick insight into overall market strength or weakness.
Ideal for top-down analysis, ETF rotation strategies, and macro confirmation.
How to Use
Add the indicator to any chart (symbol-independent).
Choose your preferred table position and size in the settings panel.
Use 1M / 1W / 1D readings to align your trading bias with higher-timeframe context.
Why It’s Valuable
Consolidates sector analysis into a single, easy-to-read dashboard
Helps identify macro trends and sector leadership quickly
Supports both swing and intraday trading approaches
Complements existing momentum or regime-tracking systems
Disclaimer
This indicator is a technical analysis tool for educational and informational purposes only.
It does not constitute financial advice and does not guarantee profitability.
Always perform your own analysis and use proper risk management.
Coinbase Premium IndexCoinbase Premium Index
This indicator tracks the price premium or discount of Bitcoin on Coinbase relative to Binance, providing insights into institutional demand and market sentiment.
How It Works:
- Compares BTC/USD price on Coinbase vs BTC/USDT on Binance
- Calculates the price differential in real-time
- Displays as a histogram with positive (green) or negative (red) values
- Offers both percentage and dollar-based views
Key Features:
- Dual Display Modes: Switch between percentage and dollar premium
- Color-Coded Histogram: Green bars indicate Coinbase premium, red bars show discount
- Real-Time Data: Uses live price feeds from both exchanges
- Clean Visualization: Easy-to-read histogram format in separate pane
Market Implications:
- Positive Premium (Green): Coinbase trading higher = potential institutional buying pressure
- Negative Premium (Red): Coinbase trading lower = possible institutional selling or retail dominance
- Magnitude Matters: Larger premiums/discounts suggest stronger sentiment shifts
- Divergence Signals: Premium changes can precede price movements
Use Cases:
- Gauge institutional vs retail sentiment
- Identify potential trend reversals
- Confirm breakout strength
- Monitor smart money flow
Settings:
- Display Mode: Choose between "Percentage" or "Dollar" view
Days Without -x% Move (Within x Days)Days Without X% Move
This indicator tracks consecutive days without a significant price drop, helping traders monitor market stability and potential risk buildup.
How It Works:
- Monitors a rolling window (default: 3 days) for the maximum drawdown
- Resets the counter when price drops by the specified percentage (default: 15%)
- Counts consecutive days where the threshold hasn't been breached
- Higher values indicate extended periods without significant corrections
Key Features:
- Configurable Drop Threshold: Set the percentage drop that resets the counter
- Adjustable Window: Define the lookback period for measuring drawdowns
- Wick Analysis: Option to include or exclude wicks in calculations
- Visual Display: Red area plot shows the current streak length
Use Cases:
- Risk management: Identify when markets are "overdue" for a correction
- Market regime analysis: Compare calm vs volatile periods
- Position sizing: Adjust exposure based on streak length
- Entry timing: Higher streak values may indicate increased correction risk
Overleverage Short Screener Alert Overleverage Short Screener Alert Guide (inspired by a posting "an on-chain trader nicknamed "Calm Order King" has reportedly made over $10 million in porfit this month - mainly by shorting BTC and SOL at precise reversal points", this script tries to guess his work.
🎯 Purpose of the Script
The script aims to identify potential **shorting opportunities** in derivatives markets (Perpetual Futures).
It looks for a setup often associated with a "long squeeze" or "blow-off top" by checking three criteria simultaneously: **High Excitement**, **Liquidity Buildup**, and the start of a **Price Dip**.
***
### 🛠️ Customize Inputs (Settings)
Access the indicator's settings window to adjust the following values:
Funding Rate Threshold (%):** Controls the required bar momentum (proxy for excitement). *Adjust between 0.01 and 0.05.*
OI MA Period:** Sets the lookback period for the Open Interest/Volume trend. *Use 7 to 14.*
OI Spike % Above MA:** Defines how far above its trend the Volume/OI must be to signal high liquidity buildup. *Try 20.0 to 50.0.*
Price Drop % From X-Period High:** Sets the minimum percentage drop required from the recent high to confirm the setup. *Use 3.0 to 7.0.*
High Timeframe:** The period used to calculate the "recent high." *Use '7D' (7 Days) or '1D' (1 Day).*
***
🔔 Reading the Signal and Setting Alerts
Visual Signal (Short\_Alert):** A **red triangle down** will appear at the top of the indicator pane when all three conditions are met. The background will also turn light red.
Signal Confirmation:**
* The **FR Proxy % (Blue Line)** must be **above** its blue threshold line.
* The **OI Spike % (Orange Line)** must be **above** its orange threshold line.
* The **Price Drop % (Fuchsia Line)** must be **below** its fuchsia threshold line.
Setting Alerts:**
1. Click the **"Alert"** button (bell icon) on the chart.
2. Set the **Condition** to the indicator's name: **"Overleverage Short Screener Alert
3. Set the specific condition to: **"Overleverage Short Alert"**.
4. The default alert message includes the current percentage values for all three factors for quick review.
VIX Delta SentimentThis script uses the volatility index VIX and the two nearest futures VX1! and VX2! to calculate the market sentiment and trigger a crash alert before it happens.
VIX Delta SentimentThis script opens a new panel underneath the main panel.
It displays a table with the values of the CBOE volatility index VIX, which measures the last 30 days implied volatility of the S&P500 index, the VX1! and the VX2! values, which are the front month and the second month VIX futures.
To curves are plotted: the relative difference or delta of the two VIX futures as well as the relative delta between VIX and the first futures month. The dotted lines visualize the thresholds of these two relative deltas.
These values are needed to determine the market sentiment and to trigger a crash alert before it happens. It can be used to trade the major indices SPX, QQQ, etc. or to avoid catastrophic losses.
The market sentiment is annotated in the table and also visualized as background color.
Inverse VIX / Custom Inverse Line🎯 Main Idea
This indicator creates a line that moves opposite to the VIX (Volatility Index) — or any symbol you choose.
When VIX rises (fear increases), → this line goes down.
When VIX falls (market calm), → this line goes up.
It helps you visually understand market sentiment — calm periods (bullish) vs fear periods (bearish).
⚙️ Input Settings
Setting Description
Symbol to invert The symbol to invert. Default is CBOE:VIX.
Inverse mode The method used to invert the values. There are 3 options:
① Negate Simply flips the sign (multiplies by -1). Very straightforward.
② Reciprocal Uses the mathematical inverse (1 ÷ value). High values become smaller, and vice versa.
③ Inverse Normalized The most useful mode 🔥 — normalizes values between 0–100 and flips them, similar to an RSI.
Normalization lookback How many bars to use for normalization (default 252 = roughly one trading year).
Smoothing (SMA) Number of bars for smoothing (makes the line smoother).
Use log for reciprocal Uses logarithmic scaling to stabilize big swings.
Plot color / width Customize the line’s color and thickness.
Show original source If enabled, shows the original VIX line for comparison.
📈 How It Works
The script fetches the close price of the VIX (or your chosen symbol).
It applies the selected inversion method.
The inverted line is plotted on the chart.
In “Inverse Normalized” mode:
The range is 0–100.
Values above 75 = high optimism (market often overheated).
Values below 25 = high fear (potential buying opportunity).
A middle line at 50 marks neutral sentiment.
⚠️ Alerts
The indicator includes two default alerts when using “Inverse Normalized” mode:
🔔 Above 75: Market showing strong optimism (potential top or correction zone).
🔔 Below 25: Market showing fear (potential bottom or buy signal).
🧠 How to Use It
Use it on daily or weekly charts for clearer signals.
Compare it with SPX or NASDAQ:
When the Inverse VIX line rises, markets often go up.
When it falls, markets usually drop or consolidate.
Combine it with other indicators (e.g., RSI, MACD) for confirmation.
