RSI Open-Source IndicatorA simple open-source RSI indicator
using default settings.
No signals.
No predictions.
在腳本中搜尋"bitcoin"
Lot Size & Risk Calculator All Pairs NEWLot Size & Risk Calculator All Pairs NEW
Description
Professional risk and position size calculator for traders working with various financial instruments.
Main difference from standard indicators:
Standard risk calculators only show basic Risk/Reward for the entire position. But in real trading, we often close positions partially at different take-profit levels, and the final Risk/Reward changes significantly with this approach! This indicator calculates weighted Risk/Reward taking into account position distribution across multiple take-profit levels.
Main features:
- Support for 4 instrument types: Forex, XAUUSD (gold), BTCUSD (bitcoin), US100 (NASDAQ index)
- Automatic position size calculation based on risk and stop-loss distance
- Multiple take-profit levels with customizable closing percentages
- Weighted Risk/Reward calculation considering position distribution
- Ability to adjust position distribution between take-profits to optimize final profit
- Display of total percentage growth of deposit from all take-profit levels
- 2 visualization options: colored fill between levels or lines
- Informative results panel in table format
Settings by groups:
Core Settings
- Currency: select instrument type (Forex, XAUUSD, BTCUSD, US100)
- Account Balance: trading account size in dollars
- Risk %: risk percentage from deposit (0.1-100%)
- Use Custom Contract Sizes: manual contract size configuration
Point Value Settings
- Use automatic point value calculation: automatic point value calculation
- Manual point value: manual point value input (for non-standard contracts)
Levels
- Entry Price: entry price (confirmation required on first use)
- Stop Price: stop-loss price
- Take-Profit Prices: take-profit prices (up to 3 levels)
- TP Close %: percentage of position closed at each take-profit level
Dashboard
- Show Targets Profit: display profit from take-profit levels
- Label Size: text size in the table
- Dashboard Position: table position on the chart
How to use:
Step 1: Initial setup (when first adding)
1. Enter entry price (Entry Price) - confirmation window will appear (click on desired bar)
2. Then enter stop-loss price (Stop Price) (click on desired bar)
3. Add first take-profit (TP1) (click on desired bar)
4. Second and third take-profits are added through checkboxes (click on the settings gear icon to open them)
Step 2: Instrument selection and risk configuration
1. In "Core" group, select your instrument type
2. Set account balance and risk percentage
Step 3: Position distribution configuration
1. Set TP Close % for each take-profit level (e.g.: TP1 - 33%, TP2 - 33%, TP3 - 34%)
2. Experiment with distribution! By changing closing percentages, you can:
- Increase/decrease final Risk/Reward
- Optimize risk/profit ratio
- Find the most comfortable position distribution for you
Step 4: Results analysis
1. Results table will show:
- Calculated position size (lots/contracts)
- Risk in monetary terms
- Risk/Reward for each take-profit level
- Weighted R:R considering position distribution
- Total potential profit from all take-profits
- Percentage growth of deposit - total profit percentage from all take-profit levels
Key features:
Position distribution adjustment
You can easily find optimal position distribution between take-profits:
- Aggressive approach: higher percentage on distant take-profit (higher profit potential)
- Conservative approach: higher percentage on near take-profit (faster profit taking)
- Balanced: even distribution for risk reduction
Weighted Risk/Reward
The indicator calculates not just simple R:R for the entire position, but weighted value that considers:
- Position distribution between take-profits
- Different distances to each take-profit level
- Closing percentage at each level
Results visualization
- Colored fill shows risk and profit zones
- Labels at levels display specific profit/loss values
- Results table contains all key metrics
Creation story
This indicator was created based on the original calculator by @Algoryze As a trader, I lacked the ability to see real Risk/Reward when partially closing positions and a convenient tool for selecting optimal position distribution between take-profit levels. I improved the indicator by adding:
- Weighted Risk/Reward calculation
- Ability to adjust closing percentage at each take-profit
- Display of total percentage growth of deposit
- Improved interface and visualization
I hope this tool will be useful to other traders who use strategies with partial position closing!
Important notes:
1. When first adding the indicator, be sure to enter prices in order: Entry → Stop → TP1
2. TP2 and TP3 are added through input fields (no confirmation required)
3. Closing percentages are automatically normalized if the sum is not 100%
4. Experiment with position distribution to find optimal risk/profit ratio
5. For different instruments, add separate copies of the indicator in different tabs
Support
For questions and suggestions, leave comments in the indicator publication on TradingView.
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Important: All calculations are provided for informational purposes only. Trading involves risks, trade responsibly. The indicator helps with calculations but does not guarantee profit.
Coinbase/Binance Premium Histogram with SMA- Indicator Name and Purpose: The Coinbase/Binance Premium Histogram with SMA is a TradingView indicator designed to visualize the price differential, or premium, between Coinbase and Binance exchanges for a specified cryptocurrency base asset, such as BTC in BTCUSD.
- Dynamic Symbol Construction: It automatically extracts the base currency from the current chart symbol and constructs the appropriate tickers for Coinbase (e.g., COINBASE:BTCUSD) and Binance (e.g., BINANCE:BTCUSDT).
- Price Retrieval and Premium Calculation: The indicator fetches closing prices from both exchanges and computes the premium as the difference between the Coinbase price and the Binance price.
- Histogram Visualization: The premium is plotted as a histogram in a separate pane below the main chart. Positive premiums (higher prices on Coinbase) are colored green, while negative premiums (higher on Binance) are colored red.
- Simple Moving Average (SMA) Integration: A user-configurable SMA of the premium is included, with a default length of 14 periods, displayed as a gray line to offer a smoothed trend perspective.
- Analytical Utility: This tool facilitates the examination of exchange-specific pricing variations, which may indicate potential arbitrage opportunities or market disparities.
- Interpretation of the Premium: A positive Coinbase premium, indicating that Bitcoin trades at a higher price on Coinbase compared to Binance, often reflects strong buying pressure from U.S.-based investors and institutions. This heightened demand can signal potential upward momentum in Bitcoin's price, as it may precede broader market rallies driven by increased institutional interest and optimistic sentiment. Conversely, a negative premium suggests weaker U.S. demand or selling pressure, which could contribute to downward price movements.
- Compatibility with Other Cryptocurrencies: The script is designed to function with all cryptocurrencies that have a USD trading pair on Coinbase and a USDT pair on Binance. It delivers the highest proven signal strength for Bitcoin, where the premium has historically served as a reliable indicator of price direction. The indicator has also demonstrated effectiveness for other assets, such as Ethereum, where a positive premium similarly signals robust U.S. demand and potential bullish momentum. It can be applied to coins like Solana as well, though signal reliability may vary depending on market dynamics and institutional participation.
BTC Pair Trading Scalper
The BTC Pair Trading Scalper is a comprehensive technical analysis indicator specifically designed for scalping Bitcoin on 15-minute timeframes. This indicator combines pair trading strategies with multiple technical indicators to identify high-probability entry and exit points for short-term trades.
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KEY FEATURES
✓ PAIR TRADING ANALYSIS
- Compares your BTC chart against a reference pair (default: BTCUSDT)
- Calculates real-time spread percentage between pairs
- Uses Z-Score statistical analysis for mean reversion opportunities
- Identifies divergence and correlation breakdowns
✓ MULTI-INDICATOR CONFLUENCE
- Fast EMA (9) and Slow EMA (21) for trend direction
- SMA (50) for overall trend confirmation
- RSI (14) with customizable overbought/oversold levels
- MACD for momentum analysis
- Bollinger Bands for volatility and price extremes
- ATR for volatility measurement
✓ VOLUME CONFIRMATION
- Volume moving average analysis
- Volume spike detection to validate signals
- Filters out false signals in low-volume conditions
✓ ADJUSTABLE SIGNAL SENSITIVITY
- HIGH: More frequent signals for active scalping (suitable for experienced traders)
- MEDIUM: Balanced approach with confirmed signals (recommended for most traders)
- LOW: Conservative signals with multiple confirmations (suitable for risk-averse traders)
✓ REAL-TIME DASHBOARD
Displays at-a-glance information:
- Current RSI level with color coding
- MACD trend direction
- Spread percentage between pairs
- Z-Score for mean reversion
- Volume status (High/Normal)
- Overall trend direction (UP/DOWN/NEUTRAL)
- Current ATR value for stop-loss sizing
✓ COMPREHENSIVE ALERT SYSTEM
- Buy signal alerts
- Sell signal alerts
- Spread threshold breach alerts
- Oversold condition alerts
- Overbought condition alerts
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HOW IT WORKS
SIGNAL GENERATION LOGIC
BUY SIGNALS are generated when:
- Fast EMA crosses above Slow EMA (bullish crossover)
- Price is in an uptrend (above 50 SMA)
- RSI shows bullish momentum
- MACD confirms upward momentum
- Volume spike confirms the move
- Sensitivity settings are met
SELL SIGNALS are generated when:
- Fast EMA crosses below Slow EMA (bearish crossover)
- Price is in a downtrend (below 50 SMA)
- RSI shows bearish momentum
- MACD confirms downward momentum
- Volume spike confirms the move
- Sensitivity settings are met
PAIR TRADING COMPONENT
The indicator monitors the spread between your chart and the pair symbol. When the spread deviates significantly (measured by Z-Score), it signals potential mean reversion opportunities:
- Z-Score < -1.5: Pairs have diverged, potential buy opportunity
- Z-Score > 1.5: Pairs have diverged, potential sell opportunity
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VISUAL ELEMENTS
ON-CHART DISPLAY:
- Blue line: Fast EMA (9) - Short-term trend
- Orange line: Slow EMA (21) - Medium-term trend
- Purple line: Trend SMA (50) - Long-term trend filter
- Gray bands: Bollinger Bands showing volatility
- Green "BUY" labels: Long entry signals
- Red "SELL" labels: Short entry signals
- Background tint: Green (uptrend) / Red (downtrend)
DASHBOARD (Top-Right):
Color-coded metrics for quick decision making:
- Red: Overbought/Warning conditions
- Green: Oversold/Bullish conditions
- Yellow: Neutral/Elevated conditions
- White: Normal conditions
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RECOMMENDED SETTINGS BY TRADING STYLE
AGGRESSIVE SCALPING (High Frequency)
- Signal Sensitivity: HIGH
- Timeframe: 15 minutes
- Expected trades: 5-10 per day
- Risk level: Higher
- Skill level: Advanced
BALANCED SCALPING (Recommended)
- Signal Sensitivity: MEDIUM
- Timeframe: 15 minutes
- Expected trades: 3-5 per day
- Risk level: Moderate
- Skill level: Intermediate
CONSERVATIVE SCALPING (Quality over Quantity)
- Signal Sensitivity: LOW
- Timeframe: 15 minutes
- Expected trades: 1-3 per day
- Risk level: Lower
- Skill level: Beginner to Intermediate
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BEST PRACTICES FOR SCALPING
1. RISK MANAGEMENT
- Use ATR value from dashboard to set stop-losses (1.5-2x ATR)
- Risk no more than 1-2% per trade
- Use proper position sizing
2. ENTRY STRATEGY
- Wait for volume spike confirmation
- Ensure trend alignment (dashboard shows clear UP/DOWN)
- Look for RSI confirmation (not in extreme zones for trend trades)
- Check Z-Score for pair divergence opportunities
3. EXIT STRATEGY
- Take profits at opposite signal or predetermined targets
- Use trailing stops to protect profits
- Exit if volume dries up or trend reverses
- Monitor spread returning to mean
4. MARKET CONDITIONS
- Works best in trending or ranging markets
- Less effective during major news events
- Avoid trading during extremely low volume periods
- Most active during major market sessions (NY, London, Asia)
5. PAIR SELECTION
- Use highly correlated BTC pairs (BTCUSDT, BTCUSD, BTCBUSD)
- Ensure both pairs have sufficient liquidity
- Monitor spread threshold to avoid excessive divergence
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CUSTOMIZATION OPTIONS
You can adjust all parameters to match your trading style:
PAIR TRADING
- Pair Symbol: Choose your reference BTC pair
- Spread Threshold: Set alert level for spread divergence
- Show Spread: Toggle spread display on/off
MOVING AVERAGES
- Fast EMA: Adjust for faster/slower signals
- Slow EMA: Adjust for trend confirmation
- Trend SMA: Change long-term trend filter
RSI
- RSI Length: Modify sensitivity
- Overbought/Oversold levels: Set your thresholds
MACD
- Fast/Slow/Signal lengths: Fine-tune momentum detection
BOLLINGER BANDS
- Length: Change volatility period
- Multiplier: Adjust band width
VOLUME
- Volume MA Length: Modify average period
- Volume Threshold: Set spike sensitivity
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ALERT SETUP
To receive notifications:
1. Click the "Alerts" button in TradingView
2. Select "BTC Pair Trading Scalper"
3. Choose alert type: Buy Signal, Sell Signal, Spread Alert, etc.
4. Set notification method (email, SMS, app notification)
5. Click "Create"
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IMPORTANT DISCLAIMERS
⚠ This indicator is a TOOL, not a trading system
⚠ No indicator is 100% accurate - always use proper risk management
⚠ Past performance does not guarantee future results
⚠ Scalping requires quick decision-making and emotional discipline
⚠ Always backtest and paper trade before using real capital
⚠ Consider transaction costs and slippage in your strategy
⚠ This is not financial advice - trade at your own risk
Kadunagra-Pivot Point SuperTrend-trades analysis
📊 Pivot Point SuperTrend Strategy (MA-Filtered, 100% Equity)
This strategy is a trend-following system that combines Pivot Point–based SuperTrend logic with a higher-timeframe Moving Average filter and percentage-based risk control.
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🔹 Core Logic
1️⃣ Trend Detection (Pivot Point SuperTrend)
Uses pivot highs and lows to calculate a dynamic center line
Builds ATR-based upper and lower bands
Determines market trend:
Bullish trend when price breaks above the trailing band
Bearish trend when price breaks below the trailing band
Trend changes generate:
Buy signal → trend flips from bearish to bullish
Sell signal → trend flips from bullish to bearish
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2️⃣ Moving Average Trend Filter (User-Selectable)
A single Moving Average is used as a higher-timeframe confirmation
User can select the MA type from a dropdown:
SMA, EMA, WMA, VWMA, RMA, or HMA
Trade rules:
Long trades only when price is above the selected MA
Short trades only when price is below the selected MA
This helps avoid counter-trend trades and improves signal quality.
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3️⃣ Trade Execution & Position Sizing
Strategy uses 100% of account equity per trade
No pyramiding
Long and short trades are handled symmetrically
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4️⃣ Risk Management (Percentage Stop-Loss)
Uses a fixed percentage stop-loss
Stop-loss is calculated from the actual entry price:
Long SL → Entry Price − SL%
Short SL → Entry Price + SL%
Ensures consistent risk control across all trades
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⏱ Recommended Timeframe & Market
✅ Default / Optimized Use Case
Timeframe: 4-Hour (4H)
Market: BTC (Bitcoin)
MA Length (default): 200 EMA
ATR Factor & Period: Tuned for swing-style trend moves
These default parameters are best suited for 4H BTC based on trend behavior and volatility.
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⚙️ Customization & Flexibility
All parameters are fully adjustable and can be optimized for:
Different timeframes (1H, Daily, etc.)
Other cryptocurrencies or markets
More aggressive or conservative risk profiles
You can modify:
Pivot period
ATR factor & period
MA type and length
Stop-loss percentage
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🧠 Strategy Style Summary
✔ Trend-following
✔ MA-filtered confirmation
✔ No repaint logic
✔ Works best in trending markets
✔ Suitable for swing trading
GOLD QUANTUM MASTER🥇 GOLD QUANTUM MASTER 🥇
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A high-performance technical analysis suite engineered for institutional-grade precision on Gold (XAUUSD) and Bitcoin (BTCUSD). This Core Edition focuses on raw analytical power without external API overhead.
🚀 KEY FEATURES:
• INSTITUTIONAL FOOTPRINT: Advanced volume-to-MA filters to identify "Big Money" participation.
• HTF REVERSAL SCANNER: Specialized logic for 30m, 1H, and 4H charts to detect Pinbar and Engulfing reversals.
• LIQUIDITY FLOW ANALYTICS: Detects and highlights Previous Day High (PDH) and Low (PDL) sweeps.
• TREND EXHAUSTION FILTERS: Built-in RSI divergence logic to prevent entries at trend peaks or bottoms.
• PREMIUM DATA LABELS: Real-time on-chart display of Signal Mode, Quality Score, and dynamic targets.
• NEON VISUAL SYSTEM: High-contrast, glassmorphic layout for maximum clarity during trading sessions.
BEST FOR: Technical Analysts, Manual Traders, and High-Performance Charting.
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The best work on Higher time frames, I still not tested on lower time frames, but should be also precise.
Feel free to adjust the settings to your own needs.
Make your own decisions when you trade, do not put all confidence into a script, it may fail also.
HMA Trend Scalper V1[wjdtks255]
Overview
This indicator is a high-performance trend-following system optimized for crypto futures trading. It provides clear entry signals and dynamic, real-time risk management tools to help traders stay on the right side of the market.
Key Features
Dynamic Trend Tracking: Uses a specialized HMA (Hull Moving Average) to filter market noise and identify the core trend.
Real-time TP/SL Extension: Unlike static indicators, the Take Profit (TP) and Stop Loss (SL) lines extend candle-by-candle along with the price action.
Clean Chart UI: Lines only exist from the entry point to the current candle, preventing chart clutter.
Automatic Completion: Once the price hits a target, the line stops extending and marks the result (Target Hit or Stop Out).
Trading Strategy (How to Trade)
1. Long Entry (🚀 LONG)
Condition: The price must be above the trend line, and a breakout of the recent 5-candle high must occur with significant volume.
Action: Enter a Long position when the "🚀 LONG" label appears.
Exit: Hold until the price reaches the Cyan (Aqua) TP line or hits the Yellow SL line.
2. Short Entry (💀 SHORT)
Condition: The price must be below the trend line, and a breakdown of the recent 5-candle low must occur with significant volume.
Action: Enter a Short position when the "💀 SHORT" label appears.
Exit: Hold until the price reaches the Cyan (Aqua) TP line or hits the Yellow SL line.
3. Risk Management
Stop Loss: The indicator automatically calculates the optimal SL based on recent volatility (ATR) and swing points.
Take Profit: The TP is set at a calculated ratio to ensure a positive risk-to-reward setup.
Settings
Trend Sensitivity: Adjust the HMA length to match your preferred timeframe (Scalping vs. Swing).
Volume Multiplier: Filter out weak moves by increasing the volume breakout requirement.
Custom Styles: Fully customize line colors, widths, and styles (Solid, Dashed, Dotted) in the settings menu.
Global PMI CycleGlobal business-cycle proxy derived from PMI/ISM dynamics, designed to contextualise macro regimes alongside Bitcoin and risk assets.
Titan 6.1 Alpha Predator [Syntax Verified]Based on the code provided above, the Titan 6.1 Alpha Predator is a sophisticated algorithmic asset allocation system designed to run within TradingView. It functions as a complete dashboard that ranks a portfolio of 20 assets (e.g., crypto, stocks, forex) based on a dual-engine logic of Trend Following and Mean Reversion, enhanced by institutional-grade filters.Here is a breakdown of how it works:1. The Core Logic (Hybrid Engine)The indicator runs a daily "tournament" where every asset competes against every other asset in a pairwise analysis. It calculates two distinct scores for each asset and selects the higher of the two:Trend Score: Rewards assets with strong directional momentum (Bullish EMA Cross), high RSI, and rising ADX.Reversal Score: Rewards assets that are mathematically oversold (Low RSI) but are showing a "spark" of life (Positive Rate of Change) and high volume.2. Key FeaturesPairwise Ranking: Instead of looking at assets in isolation, it compares them directly (e.g., Is Bitcoin's trend stronger than Ethereum's?). This creates a relative strength ranking.Institutional Filters:Volume Pressure: It boosts the score of assets seeing volume >150% of their 20-day average, but only if the price is moving up.Volatility Check (ATR): It filters out "dead" assets (volatility < 1%) to prevent capital from getting stuck in sideways markets."Alpha Predator" Boosters:Consistency: Assets that have been green for at least 7 of the last 10 days receive a mathematically significant score boost.Market Shield: If more than 50% of the monitored assets are weak, the system automatically reduces allocation percentages, signaling you to hold more cash.3. Safety ProtocolsThe system includes strict rules to protect capital:Falling Knife Protection: If an asset is in Reversal mode (REV) but the price is still dropping (Red Candle), the allocation is forced to 0.0%.Trend Stop (Toxic Asset): If an asset closes below its 50-day EMA and has negative momentum, it is marked as SELL 🛑, and its allocation is set to zero.4. How to Read the DashboardThe indicator displays a table on your chart with the following signals:SignalMeaningActionTREND 🚀Strong BreakoutHigh conviction Buy. Fresh uptrend.TREND 📈Established TrendBuy/Hold. Steady uptrend.REV ✅Confirmed ReversalBuy the Dip. Price is oversold but turning Green today.REV ⚠️Falling KnifeDo Not Buy. Price is cheap but still crashing.SELL 🛑Toxic AssetExit Immediately. Trend is broken and momentum is negative.Icons:🔥 (Fire): Institutional Buying (Volume > 1.5x average).💎 (Diamond): High Consistency (7+ Green days in the last 10).🛡️ (Shield): Market Defense Active (Allocations reduced due to broad market weakness).
BTC Swing Plan Levels & ZonesThis indicator visualizes a clean, rules-based Bitcoin swing-trade plan with clearly defined entry, target, and risk zones.
🔹 What it shows
• Breakout Entry Level
• Multiple Profit Target Zones (T1 → T4)
• Primary & Hard Stop Risk Zone
• Mid-levels for structure awareness
• Optional background highlight when price is above the breakout (plan active)
All levels are fully editable from the settings panel, allowing you to adapt the framework to any BTC market regime or timeframe.
🔹 How to use
Wait for price to break and hold above the Entry level
Manage the trade target-by-target
Respect the defined stop zone for risk control
Stretch target (T4) is optional and meant for strong trend continuation
🔹 Designed for
• Swing traders
• Structure-based traders
• Risk-managed BTC positioning
• Clean chart layouts (no indicators, no noise)
This tool is not a signal generator — it is a visual trade-planning framework.
Always manage position size and risk responsibly.
BTC vs GOLD Macro RotationBTC vs GOLD Macro Rotation Indicator
BTC vs GOLD Macro Rotation Model
This indicator is a macroeconomic rotation model that compares the relative attractiveness of Bitcoin (BTC) versus Gold (GOLD) based on multiple fundamental macro factors.
How does it work?
The model analyzes weekly data from various macroeconomic indicators and generates a score for each asset. The taller bar indicates the preferred asset to rotate capital into.
- Green bars (above zero): BTC strength
- Yellow bars (below zero):GOLD strength
- Info table:Shows exact percentages and rotation recommendation
Macroeconomic Factors Analyzed:
1. DXY (US Dollar Index)
- Strong dollar → Favors GOLD
- Weak dollar → Favors BTC
2. Oil (WTI Crude)
- Oil rising → Favors GOLD
- Oil falling → Favors BTC
3. Copper
- Copper rising → Favors BTC (risk-on)
- Copper falling → Favors GOLD (risk-off)
4. Real Rates (Fed Funds - YoY Inflation)
- Real rates falling → Favors GOLD
- Real rates rising → Favors BTC
5. Fertilizer/Natural Gas Regime (Urea, Ammonia, Natural Gas)**
- Specific combinations of movements in these commodities generate inflationary/deflationary regime signals
Fertilizer Rules:**
| Urea | Ammonia | Gas | Signal |
|------|---------|-----|--------|
| ↑ | ↑ | ↓ | GOLD +2 |
| ↑ | ↑ | ↑ | GOLD +3, BTC -1 |
| ↓ | ↓ | ↓ | BTC +3, GOLD -1 |
| ↑ | ↓ | ↓ | BTC +3 |
| ↓ | ↑ | ↑ | GOLD +3, BTC -1 |
Technical Features:
- Operates on weekly timeframe regardless of chart
- Normalized changes for signal stability
- Configurable EMA smoothing
- Safe handling of invalid symbols (won't break if a ticker doesn't exist)
- All tickers are user-editable
Configurable Inputs:
- Symbols for all assets (BTC, GOLD, DXY, Oil, Copper, CPI, Fed Funds, Gas, Urea, Ammonia)
- Individual weights for each macro component
- Normalization length
- EMA smoothing
Interpretation:**
- **BTC dominant (taller green):** Macro conditions favor risk/digital assets
- **GOLD dominant (taller yellow):** Macro conditions favor safe-haven/tangible assets
This indicator is for educational and informational purposes only. It does not constitute financial advice. Always do your own research before making investment decisions.
Recommended Timeframe: Weekly (W) or Daily (D)
Anchored VWAP PercentageINDICATOR: ANCHORED VWAP PERCENTAGE (AVWAP)
1. Overview
The Anchored VWAP Percentage (AVWAP) is a quantitative momentum and mean-reversion tool. It measures the percentage distance between the current price and a Volume Weighted Average Price (VWAP) that resets automatically based on specific time cycles. It allows traders to identify overextended market conditions relative to institutional value.
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2. Core Logic & Calculation
The script tracks the relationship between price and volume starting from a specific Anchor Point .
* Volume-Weighted Foundation: Unlike simple moving averages, this indicator uses the VWAP formula: sum(Volume * Price) / sum(Volume) .
* Automatic Anchoring: The starting point (Anchor) resets automatically depending on the chart timeframe (e.g., resets weekly on a 15m chart, or yearly on a Daily chart).
* Percentage Deviation: It calculates the precise gap between the price and the VWAP, plotted as an oscillator: ((Price - VWAP) / VWAP) * 100 .
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3. Adaptive Intelligence (Multi-Asset & Multi-TF)
The AVWAP is built with an internal database of 85th Percentile (P85) volatility thresholds. It recognizes that different assets have different "stretching" limits:
1. Asset-Specific Calibration: It includes optimized data for Bitcoin, Ethereum, Altcoins, Forex, and Indices .
2. Dynamic Timeframe Mapping: The anchor period and the exhaustion thresholds adjust automatically. For example:
* Intraday (1m-5m): Anchors to an 8-hour (480 min) cycle.
* Mid-Term (15m-60m): Anchors to a Weekly (W) cycle.
* Swing (Daily): Anchors to a Yearly (12M) cycle.
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4. Visual Anatomy
The indicator is designed for high-speed decision-making:
* The Histogram:
* Green: Price is trading above the VWAP (Bullish premium).
* Red: Price is trading below the VWAP (Bearish discount).
* P85 Threshold Lines:
* These lines represent the 85th percentile of historical deviations . Historically, the price stays within these boundaries 85% of the time.
* Background Highlighting: When the histogram crosses the P85 line, the background glows, signaling a Statistical Exhaustion Zone where a retracement to the mean is highly probable.
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5. How to Trade with AVWAP
* Mean Reversion: When the histogram reaches the P85 Zone , the price is "statistically overextended." This is a prime area to look for reversals or to take profits on existing trends.
* Trend Strength: If the histogram stays near the Zero Line while the price moves, the trend is supported by healthy volume.
* Value Area: The Zero Line represents the Fair Value . Buying near the Zero Line during a bullish histogram (Green) offers a high-probability entry with low risk.
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6. Technical Parameters
* Asset Selection: A dropdown to switch between Crypto, Forex, and Indices.
* Color Customization: User-defined colors for bullish and bearish sentiment.
* Precision Control: 4-decimal precision for accurate tracking of thin-margin assets like Forex.
BTC/Gold Breakout LevelScript to show the price Bitcoin would have to reach to break out against the December 2024 BTC/GOLD top of $41.
MMM Fear & Greed Meter - Multi-Asset @MaxMaseratiMMM Fear & Greed Meter - Multi-Asset Edition
Professional Sentiment Analysis for Futures, Stocks, and Crypto
The MMM Fear & Greed Meter is an advanced market sentiment indicator that transforms CNN's Fear & Greed methodology into an actionable trading tool. Unlike generic sentiment gauges, this indicator provides specific trading recommendations with position sizing guidance and institutional context - turning vague market mood readings into clear trading decisions.
🎯 Three Optimized Market Modes
FUTURES (ES/NQ) MODE - Default configuration weighted for index futures trading
VIX: 20% (highest weight - volatility drives futures)
Put/Call Ratio: 18% (institutional hedging behavior)
Safe Haven Demand: 18% (risk-on/risk-off capital flows)
Ideal for: ES1!, NQ1! futures traders, London Open preparation, intraday bias
STOCKS (EQUITIES) MODE - Optimized for stock picking and swing trading
52-Week High/Low: 20% (market breadth matters most)
Volume Breadth: 18% (sector rotation and participation)
SPX Momentum: 18% (trend confirmation)
Ideal for: Individual stocks, ETFs, portfolio management
CRYPTO (BTC/ETH) MODE - Calibrated for cryptocurrency's correlation to equity sentiment
Safe Haven: 25% (crypto moves inverse to risk-off)
SPX Momentum: 20% (crypto follows tech/equities)
VIX: 20% (crypto crashes when volatility spikes)
Ideal for: Bitcoin, Ethereum, major altcoins
CUSTOM MODE - Manually adjust all seven component weights to your preference
🔥 What Makes This Unique?
1. ACTIONABLE INTELLIGENCE
Not just a number - get specific recommendations:
"★ PRIORITIZE LONGS @ Key Support - Size up 1.5x"
"FAVOR SHORTS @ Resistance - Watch Distribution"
"TRADE YOUR EDGE - No Sentiment Bias"
2. INSTITUTIONAL FRAMING
Understand WHY the market feels this way:
"Institutions defending levels aggressively"
"Retail chasing, institutions distributing"
"Market stretched and vulnerable - violent turn coming"
3. POSITION SIZING GUIDANCE
Know HOW MUCH to risk:
Extreme zones (0-24, 76-100) + order flow confirmation = 1.5x size
Normal zones = standard position sizing
Neutral zone (45-55) = no sentiment edge, pure price action
4. DIRECTION-BASED COLOR CODING
Green action column = Bullish recommendations
Red action column = Bearish recommendations
Gray action column = No directional bias
5. GRANULAR DISPLAY CONTROLS
Configure exactly what you need:
Show/hide index display section
Show/hide component breakdown
Show/hide live action column
Show/hide decision matrix
27 possible layout combinations
📈 Seven Market Components
Based on CNN Fear & Greed methodology with market-specific weighting:
Market Momentum - S&P 500 vs 125-day moving average
Stock Price Strength - 52-week highs vs lows (NYSE breadth)
Stock Price Breadth - Advancing vs declining volume
Put/Call Options - Options market sentiment (calculated proxy)
Market Volatility (VIX) - CBOE Volatility Index
Safe Haven Demand - Stocks vs bonds 20-day performance
Junk Bond Demand - High yield vs investment grade spread
All components normalized to 0-100 scale, weighted by market relevance, combined into single sentiment index.
🎨 Trading Decision Matrix
EXTREME FEAR (0-24) + Bullish Order Flow @ Support
→ ★ PRIORITIZE LONGS | Size up 1.5x | Strong bounce expected
FEAR (25-44) + Bullish Order Flow @ Support
→ FAVOR LONGS | Normal size | Good reversal context
NEUTRAL (45-55) + Any Setup
→ TRADE YOUR EDGE | Standard approach | No macro bias
GREED (56-75) + Bearish Order Flow @ Resistance
→ FAVOR SHORTS | Watch distribution | Fake breakouts likely
EXTREME GREED (76-100) + Bearish Order Flow @ Resistance
→ ★ AGGRESSIVE SHORTS | Size up 1.5x | Rapid reversals expected
💡 How To Use
Daily Workflow (Recommended):
Check indicator once per morning (pre-session)
Note the sentiment zone and action recommendation
Apply bias filter to your technical setups throughout the day
Size up positions at extremes when order flow confirms
For Futures Traders:
Use bar close mode (default) for stable daily bias
However, try and test live candle option , it might give you early insights
Check before London Open (6:00 AM ET)
Combine with order flow analysis (Body Close, sweeps, institutional levels)
For Stock Traders:
Use for sector rotation decisions
Extreme Fear = buy quality at your edge support level
Extreme Greed = trim positions, raise cash
For Crypto Traders:
Crypto mode captures equity risk sentiment spillover
VIX spikes = crypto dumps (size shorts)
Safe haven demand = BTC correlation tracking
🔧 Technical Details
Data Sources: Universal TradingView symbols (SP:SPX, TVC:VIX, TVC:US10Y, AMEX:HYG, AMEX:LQD, INDEX breadth data with fallback proxies)
Calculation: Seven components normalized over 252-day period, weighted by market mode, combined into 0-100 composite index
Accuracy: 85-90% zone correlation to CNN Fear & Greed Index (zones matter more than exact numbers for trading bias)
Update Frequency: User-controlled - bar close (stable) or live (real-time)
Compatibility: Works on any chart timeframe (recommend daily for bias context)
🎓 Best Practices
DO:
Use as bias filter for your existing strategy
Check once per session for daily context
Size up at extremes with order flow confirmation
Pay attention to ZONES (Extreme Fear/Greed) not exact numbers
Combine with technical analysis and price action
DON'T:
Use as standalone entry/exit signals
Overtrade or force setups when neutral
Ignore price action because sentiment contradicts
Check constantly (designed for daily bias, not tick-by-tick)
Expect exact CNN number match (focus on zones)
🏆 Who Is This For?
Futures Traders - ES/NQ intraday traders needing daily bias context
Stock Traders - Equity swing traders and stock pickers
Crypto Traders - BTC/ETH traders following equity risk sentiment
Position Traders - Anyone wanting institutional sentiment context
Systematic Traders - Adding sentiment filter to mechanical systems
📚 Based On CNN Fear & Greed Methodology
This indicator builds upon CNN Business's proven Fear & Greed Index framework, enhancing it with:
Market-specific component weighting (Futures/Stocks/Crypto)
Actionable trading recommendations with position sizing
Institutional market context and framing
Flexible display options for different trading workflows
Universal data compatibility for all TradingView users
Ichimoku With GradingDescription:
This indicator is an enhanced version of the classic Ichimoku Kinko Hyo, designed to provide traders with an objective, quantitative assessment of trend strength. By breaking down the complex Ichimoku system into specific conditions, this script calculates a "Total Score" to help visualize the confluence of bullish or bearish signals.
How It Works
The core of this script is a 7-Point Grading System. Instead of relying on a single crossover, the script evaluates 7 distinct Ichimoku conditions simultaneously.
The Grading Criteria:
Tenkan > Kijun: Checks for the classic TK Cross (1 point if Bullish, -1 if Bearish).
Price vs TK/KJ: Checks if the Close is above both the Tenkan and Kijun (Bullish) or below both (Bearish).
Future Cloud: Analyzes the Kumo (Cloud) projected 26 bars ahead. If Senkou Span A > Senkou Span B, it is bullish.
Chikou Span: The Lagging Span validation. It compares the current Close to the Highs, Lows, and Cloud levels of 26 bars ago to ensure there are no obstacles.
Close > Tenkan: Checks immediate short-term momentum.
Close > Current Senkou Span A: Checks if price is above the current cloud's Span A.
Close > Current Senkou Span B: Checks if price is above the current cloud's Span B.
Total Score & Signals:
Maximum Score (+7): When all 7 conditions are met, a Green Triangle is plotted above the bar, indicating a strong trend confluence.
Minimum Score (-7): When all 7 conditions are negative, a Red Triangle is plotted below the bar.
Neutral/Mixed: Scores between -6 and +6 indicate a mixed trend or consolidation phase.
Dashboard Features
A table is displayed in the top-right corner to provide real-time data:
Score Breakdown: Shows the status of every individual metric (1 or -1).
Total Score: The sum of all metrics.
Distance to Tenkan %: This calculates the percentage distance between the Close and the Tenkan-sen.
Usage: Traders often use the Tenkan-sen as a trailing stop-loss level. This percentage helps gauge how extended the price is from the mean; a high percentage may indicate an overextended move, while a low percentage indicates a tight consolidation.
How to Use Ichimoku Lines
Beyond the grading system, this indicator plots the standard Ichimoku lines, which are powerful tools for price action analysis:
Support & Resistance: The Tenkan-sen (Conversion Line) and Kijun-sen (Base Line) act as dynamic support and resistance levels. In a strong trend, price will often respect the Tenkan-sen. In a moderate trend, it may pull back to the Kijun-sen before continuing.
The Kumo (Cloud): The edges of the current cloud (Senkou Span A and B) act as major support and resistance zones. A thick cloud represents strong S/R, while a thin cloud is easily broken.
Trend Identification: Generally, if the price is above the Cloud, the trend is bullish. If below, it is bearish. If the price is inside the Cloud, the market is considered to be in a noise/ranging zone.
Screenshots
1. Bitcoin Daily View:
Here you can see the dashboard in action. The grading system helps filter out noise by requiring all conditions to align before generating a signal.
2. Gold (XAUUSD) Example:
An example of a bearish confluence where the score hit -7, triggering a sell signal as the price broke through all Ichimoku support levels.
3. Euro (EURUSD) Mixed State:
This example shows a market in transition. While some metrics are positive (Green), others are negative (Red), resulting in a score of 4. This prevents premature entries during choppy market conditions.
Settings
Lengths: All Ichimoku periods (Tenkan, Kijun, Senkou B, Displacement) are fully customizable in the settings menu to fit your preferred timeframe or trading style (e.g., Doubled settings for crypto).
Disclaimer: This tool is for educational and informational purposes only. Past performance does not guarantee future results. Always manage your risk.
First Opening Price of the YearOverview
This indicator identifies and plots the opening price of the first trading session of the calendar year. The "Yearly Open" is a significant psychological level for traders and institutions, often serving as a major pivot point for the entire year's trend.
How it Works
The script utilizes Pine Script v5's persistent variables to track the year change.
Detection: It compares the current bar's year (year) with the previous bar's year (year ).
Storage: When a discrepancy is found (indicating a new year has started), the script captures the open price of that specific bar.
Persistence: Using the var keyword, this price is stored in memory and carried forward for every subsequent bar of the year without being recalculated.
Visualization: The price is plotted as a series of blue crosses (style_cross) to clearly mark the level on the chart.
Chart Analysis & Examples
The following examples demonstrate how this simple level dictates market structure across different assets:
Historical Pivot Points (S&P 500):
This chart demonstrates how the Yearly Open acts as a critical pivot. Notice in 2022 how price struggled around the open before dropping, while in 2023 and 2024, the yearly open provided a solid base for the subsequent rallies.
Trend Confirmation (Bitcoin):
In strong trending markets, the Yearly Open serves as a trailing support. As seen in this Bitcoin example, price maintaining its position above the blue line confirms a sustained bullish bias for the year, acting as a "floor" for the trend.
Market Structure & Bias (Gold):
This example highlights the "Line in the Sand" concept. The indicator clearly marks the starting point of the year, allowing traders to instantly gauge if the asset is net positive or negative year-to-date. It filters out the noise and focuses on the macro direction.
How to Use
Traders can use this indicator to determine the higher-timeframe bias:
Bullish Bias: When the current price is trading above the blue crosses, the market is considered to be positive relative to the start of the year.
Bearish Bias: When the current price is trading below the blue crosses, the market is negative relative to the start of the year.
Settings
This script is "plug and play" and requires no manual input adjustments. It automatically detects the timeframe and year changes based on the chart data provided.
Disclaimer
This tool is for informational purposes only and DOES NOT constitute financial advice. Always manage your risk appropriately.
Power Hour Trendlines [LuxAlgo]The Power Hour Trendlines indicator is based on Power Hours detection, and includes up to three displayed trendlines derived from the closing prices of all the bars within the last user-selected Power Hours.
Users can edit the time of Power Hours, choose how many sessions to take into account, enable or disable any trendlines, and change their colors.
🔶 USAGE
The Power Hour is defined as the last hour of the trading session and is set by default from 3:00 p.m. to 4:00 p.m. New York time. During this period, volume and volatility enter the market. Traders using higher timeframes may use this period to enter or exit positions by placing MOC (Market on Close) orders.
This tool works under the hypothesis that prices made during power hours (periods with high trading activity) are more relevant when used for the construction of trendlines.
An initial trendline is fit using linear regression; prices from power hours located above this initial fit are used for the upper trendline, while the ones below the fit are used for the lower one.
As with any trendline, traders can analyze the slope to determine the market's direction:
Positive slope: The market is trending up.
Negative slope: The market is trending down.
No slope: The market is trending sideways.
As we can see in the image, Nasdaq and Bitcoin are clearly in downtrends, gold is clearly in an uptrend, and the euro/U.S. dollar is in a sideways market over the last visible sessions.
As you can see, the trend lines may or may not be parallel to each other. The wider the area, the more volatile the data. The narrower the area, the less volatile the data. Let's look at an example.
In the image, the Dow30 and the euro/U.S. dollar have opposite behaviors. The volatility above the middle trendline is growing in the first case but shrinking in the second. In both cases, the volatility in the bottom area seems steady, so there are no big surprises there.
Traders can adjust the number of sessions for calculations, making the tool ideal for analyzing price behavior over different time frames.
As the image shows, we can clearly see how the market behaves over different time periods. XLY has been moving down over the last 10, 20, and 40 sessions, with a steeper decline over shorter periods. However, it has been moving sideways over the last 70 sessions.
One of the main uses of trendlines is to provide key support and resistance. In the image, SPY is shown with trendlines over the last 20 sessions. These lines provide excellent reference points for trading and observing price behavior in those areas, such as whether prices are accepted or rejected, which may trigger a response from other traders.
🔹 Not Allowed Timeframes
For obvious reasons, timeframes larger than 1H are not allowed. The Power Hour is defined as the last hour of the trading session. The tool will display a warning message if the timeframe is longer than 60 minutes.
🔶 SETTINGS
Power Hour (NY Time): Choose a custom Power Hour in New York time
Sessions Memory: Select how many Power Hours to take into account for calculations.
🔹 Style
Top: Enable or disable the top line and choose the line and background colors.
Middle: Enable or disable the middle line and choose the line color.
Bottom: Enable or disable the bottom line and choose the line and background colors.
Background: Enable or disable the background color for top and bottom lines.
BTC - DCA vs HODL Calculator MatrixBTC - DCA vs. HODL Calculator Matrix | RM
Overview
The BTC - DCA vs. HODL Calculator Matrix is a high-performance telemetry laboratory designed to settle the ultimate debate in Bitcoin accumulation: Is it more efficient to deploy all capital at once ( Lump Sum & HODL ) or utilize a recurring purchase strategy ( DCA )? More importantly, if DCA is the choice, which exact frequency and weekday provides the mathematical edge?
The Calculator Matrix was engineered to solve a critical limitation in the current script ecosystem (at least I couldnt find such an indicator): the inability to compare multiple DCA frequencies and specific calendar days simultaneously within a single dashboard. While developing this tool, I found that existing calculators typically only permit testing one strategy at a time (e.g., a generic "Weekly" buy). This script fills that gap by utilizing a high-performance array-based "Telemetry Engine" to rank dozens of variables—including every individual weekday and specific monthly dates—against a HODL benchmark in real-time. This unique simultaneous comparison allows investors to mathematically identify "Weekday Alpha" across any user-defined timeframe.
Core Philosophy
The script utilizes a Normalized Capital Model . To ensure a true "apples-to-apples" comparison, your total capital (e.g., $10,000) is distributed with mathematical precision across the exact number of entries for each specific strategy. This eliminates the ROI skewing commonly found in basic scripts, ensuring that every strategy is judged on the same total dollar expenditure over the same "Race Track."
Key Features & Analytics
• The Podium System: An automated ranking algorithm that awards 🥇 Gold, 🥈 Silver, and 🥉 Bronze medals to the top three performing strategies. Spoiler: Regular Winner: 1-time HODL (Lump Sum)
• Simultaneous Strategy Testing: Compare Daily, 7 different Weekly days (Mon-Sun), and Monthly dates (1st–28th) all at once.
• Risk Telemetry: Integrated Max Drawdown (MDD) sensors for every strategy, revealing the "Emotional Cost" of your accumulation path.
• Race Track Visuals: Blue dashed "Green Flag" and "Checkered Flag" lines visually define the boundaries of your backtest.
• Dashboard Customization: Use the "Odd/Even" filter to keep the matrix sleek and readable on (nearly) any screen resolution.
The Strategies Tested
• 1-TIME HODL: The benchmark (Lump sum entry on Day 1 - meaning all the capital is deployed at the start date).
• DAILY DCA: High-frequency, day-by-day accumulation (the capital is split amongst the different entries).
• WEEKLY (SUN-SAT): Evaluates which specific day of the week historically captures the best entries (e.g., "Weekend Dips").(The capital is split amongst the different entries).
• MONTHLY (1-28 + END): Tests monthly date performance to optimize for beginning-of-month or end-of-month cycles. (The capital is split amongst the different entries).
Monte Carlo Simulation & Python Research
While this tool allows you to manually check any specific timeframe, manual testing is limited by "Start Date Bias." To find the Universal Winner , I have conducted a Monte Carlo Simulation using 100 random entry dates over the last 5 years via Python/Colab. This research reveals the statistical probability of a day (like Saturday) winning the Gold medal across all market conditions.
Access the Python Heatmap Research in my substack article (link for substack in Bio).
How to Use
1. Set the Race Track: Input Start and End dates in the settings.
2. Fuel the Engine: Set your Total Capital ($).
3. Analyze the Matrix: Compare ROI vs. MAX DD. The goal is not just the highest return, but the best Risk-Adjusted return.
Technical Implementation
This script utilizes an array-based telemetry engine to handle the simultaneous calculation of 30+ independent investment strategies. To ensure computational efficiency and bypass the limitations of standard security-based backtesting, I implemented a custom-built accumulator logic using array.new_float() and array.set() . The core calculation loop ( if in_race and is_new_day ) processes capital deployment on a per-bar basis, utilizing ta.change(time("D")) to ensure entry synchronization with the Daily UTC close. By decoupling the unit accumulation ( u_weekly , u_monthly ) from the final valuation logic ( f_get_stats ), the script maintains a Normalized Capital Model. This ensures that even with complex comparative logic across varying frequencies, the script provides a mathematically rigorous, reproducible result that matches real-world execution at the Daily UTC Midnight close.
Note: All calculations are made on the "close" bar, which means UTC 00:00. By creating a strategy or using the research, make sure to be aware of your time zone
Disclaimer: Past performance is not indicative of future results. This tool is for educational and research purposes only. Rob Maths is not liable for any financial losses.
Tags:
robmaths, Rob Maths, DCA, HODL, Bitcoin, BTC, Backtest, RiskManagement, Investment, Strategy, Statistics
Stress & Recovery Daily Stock/BTC This indicator is a stress → recovery regime tool designed for Daily charts (Bitcoin and equities). It combines Williams Vix Fix (WVF) to detect panic/capitulation conditions (potential bottoms) with RSI vs EMA(RSI) to confirm the start of a recovery phase — but only when that recovery occurs within a configurable number of bars after a WVF panic event.
It is not a generic trend indicator. It focuses on one specific sequence:
Panic spike (WVF) → Recovery confirmation (RSI crossing above EMA(RSI)).
What it Shows
1) Red Bottom Shadow (Panic Zone)
A red shaded area below the baseline appears when WVF triggers a panic condition. This highlights periods where downside pressure and “panic-like” behavior are elevated.
To avoid clutter, the red triangle marker (▼) is plotted only once per red cluster, specifically on the last bar of the panic cluster (end of the WVF signal streak).
2) Green State Ribbon (Recovery Regime)
A green ribbon above the baseline indicates a recovery regime. You can choose how the green signal behaves:
Crossover only: green is active only on the single bar where RSI crosses above EMA(RSI).
State (RSI > EMA): green stays active as long as RSI remains above EMA(RSI).
3) Amber Ribbon (Conflict State)
If panic (WVF) and recovery (green state) overlap, the ribbon turns amber.
This indicates a mixed condition: panic is still present, but momentum is attempting to reverse.
4) Green Triangle Marker (▲) — Validated Recovery Start
A green triangle (▲) appears only when RSI crosses above EMA(RSI) AND that crossover happens within N bars from the most recent WVF panic zone. This time-window filter helps avoid unrelated RSI crossovers that occur far from capitulation events.
How to Use
- Treat red shadow as a “panic/stress zone”.
- Look for the green triangle (▲) as the first validated recovery trigger after panic.
- Use green ribbon as a recovery regime filter (especially in “State” mode).
- Use amber ribbon as a caution zone (overlap = mixed signals).
This indicator is best used as a context and timing filter, not as a complete trading system by itself.
Notes:
- Designed and tuned for Daily timeframe usage.
- Signals may behave differently on intraday timeframes or illiquid assets.
Price Log Regression (by Currency)1. Introduction
This indicator draws a logarithmic regression line directly on top of the price candles, showing the long‑term “average” growth path of any asset in the currency you select (for example USD). It is inspired by popular log‑regression studies used on assets like Bitcoin, where price is transformed to a log scale and a straight regression line is used to visualize macro trends and diminishing returns over time.
2. Key Features
- Currency‑aware trend line : Before calculating the regression, the script converts the asset’s price into the chosen currency, so the line represents the trend of “price in USD”, not just the original quote on the chart.
- Logarithmic regression : The script takes the logarithm (base 10) of the converted price, applies a linear regression to that log series, and then converts the result back to normal price; this produces a smooth line that follows the exponential character of many long‑term price moves.
- On‑chart overlay : Only the regression line is plotted and `overlay` is enabled, so the line appears directly over your existing candles, keeping the chart clean and making it easy to compare current price versus its long‑term log‑trend in the selected currency.
3. How to Use
- Add the script to any symbol and timeframe, then choose the Currency input (for example set it to “USD” if you want to see the trend of that asset measured in Dolars).
- Adjust the Regression length input: longer lengths give a slower, smoother macro line, while shorter lengths react more to recent price action; use what best matches the horizon you are analysing.
- Read the line as an analytical tool, not as guaranteed support or resistance: if price is far above the line, it may indicate an extended move relative to its long‑term path in that currency; if it is far below, it may indicate a cheaper zone relative to that same path, always remembering that this is educational analysis and not financial advice.
Note: This indicator focuses on long‑term logarithmic trends rather than short‑term noise, it is best suited for longer‑horizon approaches such as swing trading and position trading, rather than intraday scalping.
Dynamic Stoch200+MACD+Gann Confluence (Cardinal + Ordinal)If you're scrolling through hundreds of indicators on TradingView looking for a reliable edge, here's why this one stands out and deserves a spot on your chart:Ultra-High-Conviction Reversal Signals (Rare but Powerful)
Most indicators spam signals and repaint. This one requires four independent confluences to fire:Hidden bullish/bearish divergences on a very long-period Stochastic (200) – catches major cycle turns, not noise.Matching hidden divergences on MACD histogram – confirms momentum shift.A strong directional candle (close in top/bottom 20% of range) – filters weak wicks.
Price within ~1.75% of a dynamic Gann Square of 9 level (cardinal + ordinal angles).
Because it demands all four at once, signals are extremely rare — often only a handful per year on daily/weekly timeframes. When they appear, they frequently mark significant tops and bottoms.Fully Adaptive Gann Levels (No Static Lines)
Unlike most Gann scripts with fixed levels that quickly become irrelevant, this one:Automatically anchors to the most recent significant pivot low or high.
Calculates authentic Square of 9 rotations (45°, 90°, 135°, 180°, 225°, 270°, 315°, 360°).
Updates dynamically as new swings form — works on any timeframe and any market (BTC, stocks, forex, indices).
Clean & Customizable Toggle cardinal (strong) vs ordinal (intermediate) levels for plotting and signal checks.
Adjustable pivot sensitivity and proximity tolerance.
Minimal chart clutter: bold lines for major levels, subtle for intermediates, plus clear large triangles for entries.
Best For
Swing traders and position traders seeking high-probability reversal zones rather than frequent scalps. Excellent for Bitcoin and volatile assets where geometric levels + extreme momentum divergences often align at cycle extremes.In short: If you want an indicator that stays quiet most of the time but screams when a real reversal is likely — this is it. Add it, watch the Gann levels adapt, and wait patiently for the rare multi-confluence setups. Quality over quantity.
BTC - StableFlow: Pit-Stop & Refuel EngineBTC – StableFlow: Pit-Stop & Refuel Engine | RM
Strategic Context: The Institutional Gas Station In the high-speed race of the crypto markets, Stablecoins (USDT, USDC, DAI) represent the Fuel, and Bitcoin is the Race Car. Most traders only look at the car's speed (Price), but they ignore the gas tank. The StableFlow Engine is a telemetry dashboard designed to monitor the "Fuel Pressure" within the ecosystem, identifying exactly when the car is being refueled and when it is running on empty.
The Telemetry Logic: How to Read the Race
The indicator operates on a Relative Velocity model. We aren't just looking at how many Stablecoins exist; we are measuring the Acceleration of Stablecoin Market Cap relative to the Acceleration of BTC Price.
1. The Fuel Reservoir (The Histogram)
• Cyan Zones (Refuel): The gas station is open. Institutional "Dry Powder" is flowing into stables faster than it is being spent on BTC. The tank is filling up.
• Orange Zones (Exhaust): The "Overdrive." The car is driving faster than the gas can be pumped. Price is outperforming the stablecoin supply—this is unsustainable and usually precedes a stall.
2. Lap Transitions (The Grey Lines)
These vertical markers signify a Regime Shift . They trigger the moment the momentum crosses the zero-axis, visually distinguishing the transition between a "Net-Refueling" period and a "Net-Exhaustion" period. While not used as direct entry signals, they define the Macro Lap we are currently in.
Operational Playbook: The Pit-Stop Signals
We don't just buy because the tank is full; we buy when the car exits the pits and begins to accelerate. This is captured by our proprietary Pit-Stop Pips.
• Blue Pip (Pit-Stop Buy): Triggered when the Refuel momentum has peaked and is now rotating back into the market. The refuel is complete; the car is rejoining the race with a full tank.
• Red Pip (Exhaust Sell): Triggered when the price acceleration has overextended relative to its fuel source and begins to "roll over." The tank is near empty; time for a tactical pull-back.
Settings & Calibration: The Pit Wall Dashboard
Signal Mode & Logic The engine features a dual-mode signaling system to adapt to different market conditions (or your personal preferred logic):
• Consecutive Mode: Best for high-velocity trends. Fires a pip after n bars of momentum reversal (Default: 2 bars).
• Percentage (%) Mode: Best for structural fades. Fires a pip when the momentum retraces by a specific percentage (e.g., 15%) from its local peak, regardless of the bar count.
Recommended Calibration
While the engine is versatile across various timeframes, the Weekly (1W) chart is the preferred setting for identifying high-conviction macro signals. Lower timeframes provide tactical speed, but the 1W frame offers significantly cleaner signals by filtering out the daily market noise.
Weekly (1W) — The Macro Signal (Preferred): * Velocity Lookback: 20 | Smoothing: 5.
Peak Lookback: 25 (Represents roughly half a year of telemetry data). This is a good starting point for identifying major cycle rotations.
Daily (1D) — The Tactical Pulse: * Velocity Lookback: 20 | Smoothing: 5.
Peak Lookback: 25 (Represents one trading month of telemetry). Useful for active swing traders looking for entry/exit timing within an established macro trend.
Technical Documentation
Data Sourcing & Aggregation The script utilizes request.security to aggregate a "Big Three" Stablecoin Market Cap (USDT + USDC + DAI). This prevents "False Exhaustion" signals caused by capital simply migrating between different stablecoin assets.
Mathematical Foundation The core engine calculates the Rate of Change (ROC) for the Aggregate Stablecoin Supply and BTC Price over a synchronized lookback window.
Formula Logic: Fuel Pressure = EMA ( ROC(Stables) - ROC(BTC) )
The Pit-Stop Pips utilize a local peak-finding algorithm via ta.highest and ta.lowest within a rolling 25-bar window to calculate the Relative Retracement Magnitude . This ensures signals are mathematically tied to the volatility of the current market regime.
The Dual-Fuel Framework: StableFlow x Liquisync
The StableFlow Engine is designed to function as the tactical counterpart to the Liquisync: Macro Pulse Engine . While Liquisync monitors the Global Supply Line (the "Tanker Truck" of M2 Liquidity moving from Central Banks toward the track with a 60-day lead), StableFlow measures the Immediate Fuel Pressure (the "Dry Powder" already in the pit lane, ready to be pumped into the car).
By using both indicators in tandem, you can follow the Dual-Fuel Strategy: Liquisync identifies the fundamental macro regime, while StableFlow identifies the specific "Refuel" and "Exhaustion" pivots within that regime. We will be providing a comprehensive breakdown of this synchronized telemetry in our upcoming Substack Masterclass: The Dual-Fuel Architecture.
Risk Disclaimer & Credits
The StableFlow is a thematic macro tool tracking on-chain liquidity proxies. Stablecoin data is subject to exchange reporting delays. This is not financial advice; it is a telemetry model for institutional education. Rob Maths is not liable for losses incurred via use of this model.
Tags:
indicator, bitcoin, btc, stablecoins, usdt, flow, liquidity, macro, refuel, institutional, robmaths, Rob Maths
