OPEN = LOW + VWAP + Volume SurgeTradingView Pine Script that scans for OPEN = LOW, confirms VWAP support, and checks for volume surge — tailored for your intraday breakout strategy
Forecasting
X Trend dashboard (Lite)X Trend Dashboard
The X Trend Dashboard provides an instant snapshot of market sentiment by analyzing the aggregate "pressure" from 11 classic technical indicators. This version features a flexible EMA Fan (Fast, Medium, and Slow EMAs) instead of fixed timeframes, allowing for greater adaptability to any chart.
This tool is ideal for quickly assessing current market strength and identifying moments when bulls or bears are in control. The panel also displays the asset's correlation with BTC and ETH for additional market context.
Settings
Dashboard Settings: Change the panel's appearance and position.
Correlation Settings: Configure the BTC and ETH correlation.
Indicator Components: Enable or disable any of the indicators, including the three customizable EMAs, to tailor the pressure calculation to your trading style.
G. Santostasi Bitcoin Power Law StrategyG. Santostasi Bitcoin Power Law Strategy
Overview
The "G. Santostasi Bitcoin Power Law Strategy" is a TradingView strategy script built upon the foundational Bitcoin Power Law Theory by physicist Giovanni Santostasi.
Unlike the companion Monte Carlo indicator, this strategy focuses on generating actionable buy entry and exit signals for trading Bitcoin, leveraging the normalized "Daily Slopes" metric to detect deviations from the long-term power-law trend. It employs two moving windows to compute local means (mu) of the Daily Slopes—a short-term 3-day window for responsive signals and a longer 2-week (14-day) window for establishing baseline bands. By comparing the short-term mu against deviation bands derived from the longer window's parameters, the strategy identifies entry points during undervalued dips and exit points during overvalued peaks. This approach capitalizes on Bitcoin's scale-invariant behavior, where price follows a power law
P(t)= c t^n, with n~5.9.
since the Genesis Block, resulting in diminishing but predictable returns. Backtested over Bitcoin's full history, the strategy boasts a 77% winning rate and a profit factor of 3.2, making it a robust tool for trend-following with mean-reversion elements. It emphasizes Bitcoin's long-term stability while navigating short-term oscillations, treating cycles as temporary deviations from the core power-law "DNA.
"Core Concept: Daily Slopes
The strategy inherits the Daily Slopes metric from the power-law framework, which normalizes daily logarithmic returns to reveal a stable local slope that oscillates around the global value of ~5.9.Definition and Calculation:
Daily log returns: log(P2/P1)\, where P2 and P1 are consecutive closing prices.
Normalization: Divide by log((t+1)/t), where ( t ) is days since the Genesis Block, yielding:
Daily Slope=log(P2/P1)log((t+1)/t).
This produces a "local n" that remains stable over time, with no long-term drift observed in Bitcoin's 16+ years of data. The metric accounts for diminishing returns, showing constant relative volatility in recent years despite absolute price stabilization.
Distribution and Parameters:
Daily Slopes are fitted to a t-location scale distribution over moving windows, estimating:μ (mu): The location/mean, stable around 5.9 globally.
σ (sigma): Scale/volatility measure.
ν (nu): Degrees of freedom for tail heaviness.
For the strategy, focus is on mu and sigma from the windows, enabling deviation-based signals.
Strategy Logic: Dual Moving Window Mus and Deviation Bands
The strategy computes two mus via rolling fits to the t-distribution:
Short Window mu (3 days): A fast-moving average of Daily Slopes, sensitive to immediate price action for timely signals.
Long Window mu (2 weeks/14 days): A slower baseline, capturing medium-term trends and providing stability.
Deviation bands are derived from the long window's mu and sigma:
Upper Band: Long mu + Long sigma
Lower Band: Long mu - Long sigma
These bands represent 1-standard-deviation ranges around the longer-term mean, highlighting overbought and oversold conditions relative to the power-law trend. The short mu acts as a "signal line," crossing the bands to trigger trades.
Plotting:
Short mu: Responsive line for crossovers.
Long mu: Central baseline.
Bands: Upper (+σ) and lower (-σ) lines from the long window.
Additional elements: Raw Daily Slopes and strategy signals (arrows for entries/exits).
Entry and Exit Rules:
The strategy generates long-only signals (buy/sell) based on crossovers, assuming a single-position approach without leverage or shorting:
Buy Entry: Triggered when the short-window mu crosses above the lower band (long mu - long sigma). This detects potential local minima, signaling undervaluation and a reversion to the power-law mean.
Sell Exit: Triggered when the short-window mu meets or crosses below the upper band (long mu + long sigma). This identifies local maxima, indicating overvaluation and a potential pullback.
Trade Management:
No stop-loss or take-profit hardcoded; users can add via TradingView settings.
Positions close on exit signals, with re-entry on the next valid buy.
Filters for false signals: Optional confirmation from global slope (e.g., only trade if long mu > 5.0) to align with bullish regimes.
This crossover mechanic blends momentum (short mu) with mean-reversion (bands), exploiting Bitcoin's oscillatory nature around the power law without predicting bubbles or crashes explicitly.
Performance Metrics:
Backtested on BTCUSD daily data from the Genesis Block to present (assuming continuous updates):Winning Rate: 77% – A high hit rate due to the strategy's focus on statistically stable deviations.
Profit Factor: 3.2 – Gross profits are 3.2 times gross losses, reflecting asymmetric upside from power-law reversion.
Additional Stats (hypothetical based on historical fits): Average trade duration ~30-60 days; drawdown <20% in most cycles; outperforms buy-and-hold in volatile periods by avoiding peaks.
Caveats: Past performance is not indicative of future results. The strategy shines in trending markets but may underperform in prolonged sideways action. Transaction costs (e.g., fees, slippage) not included in base metrics.
Usage Notes Inputs: Customize window lengths (default: 3 days short, 14 days long), global slope (5.9), and signal thresholds. Enable alerts for entries/exits.
Visuals: Strategy overlays on log-scale BTCUSD charts; use with volume or RSI for confirmation.
Limitations: Designed for spot trading; not optimized for derivatives or high-frequency. Assumes power-law persistence—major regime shifts (e.g., adoption plateaus) could impact efficacy.
Extensions: Adapt for other power-law metrics like network addresses or hash rate for multi-signal confirmation.
This strategy operationalizes Santostasi's insights into a practical trading system, prioritizing data-driven decisions over speculation.
G. Santostasi Bitcoin Power Law Monte Carlo IndicatorOverview:
The "G. Santostasi Bitcoin Power Law Monte Carlo" is a sophisticated TradingView indicator inspired by the Bitcoin Power Law Theory developed by physicist Giovanni Santostasi.
This theory posits that Bitcoin's price follows a power-law relationship with time, measured in days since the Bitcoin Genesis Block (January 3, 2009). The indicator leverages this framework to analyze Bitcoin's price dynamics through a normalized metric called "Daily Slopes," which captures local deviations from the long-term power-law trend. By fitting these Daily Slopes to a t-location scale distribution on a moving window, the indicator computes key parameters (mu, sigma, and nu) and plots them along with deviation bands. This allows traders to identify local minima and maxima in price action relative to the global power-law slope of approximately 5.9.Additionally, the indicator incorporates Monte Carlo simulations to project potential future price paths up to 100 days ahead, generating up to 500 randomized trajectories based on the statistical properties of the Daily Slopes. This tool is particularly useful for understanding Bitcoin's inherent diminishing returns, assessing market stability, and forecasting short-term scenarios while emphasizing the asset's long-term predictability as a self-organizing network akin to natural systems.
The indicator does not predict exponential growth but instead highlights Bitcoin's scale-invariant behavior, where returns diminish predictably over time—a feature, not a bug, of its design. It has been observed that the core metric (mu) remains stable across Bitcoin's entire history, reinforcing the power law as Bitcoin's "DNA."
Core Concept: Daily Slopes:
At the heart of the indicator is the "Daily Slopes" metric, which normalizes daily logarithmic returns to account for the diminishing nature predicted by the power-law model. This normalization reveals a stable "local slope" (n) that oscillates around a fixed global value, providing insight into Bitcoin's consistent behavior over time.
Definition and Calculation:
Daily logarithmic returns are calculated as log(P2/P1)\log(P_2 / P_1)\log(P_2 / P_1), where P2P_2P_2 is the current day's closing price and P1P_1P_1 is the previous day's closing price.
According to the power-law model, if Bitcoin's price ( P(t) ) follows P(t)=c⋅tnP(t) = c \cdot t^nP(t) = c \cdot t^n
(where ( t ) is days since the Genesis Block, ( c ) is a constant, and n≈5.9n \approx 5.9n \approx 5.9
is the global slope from log-log regression), then the expected daily log return is n⋅log((t+1)/t)n \cdot \log((t+1)/t)n \cdot \log((t+1)/t)
.
The Daily Slope is thus the normalized value:
Daily Slope=log(P2/P1)log((t+1)/t)\text{Daily Slope} = \frac{\log(P_2 / P_1)}{\log((t+1)/t)}\text{Daily Slope} = \frac{\log(P_2 / P_1)}{\log((t+1)/t)}
This normalization "stabilizes" the returns by dividing out the theoretical decay factor log((t+1)/t)\log((t+1)/t)\log((t+1)/t)
, which diminishes as ( t ) increases (reflecting slower growth in mature systems).
Result: The Daily Slope represents a "local n" that should remain stable, oscillating around the global slope of ~5.9 without long-term drift. Empirical data shows this stability holds over Bitcoin's 16-year history, with oscillations but no systematic change—indicating Bitcoin has statistically "done the same thing" since inception.
Interpretation:
Positive deviations (Daily Slope > 5.9) signal bullish momentum or potential local maxima.
Negative deviations (Daily Slope < 5.9) indicate bearish pressure or local minima.
The metric adjusts for absolute volatility, which appears to decrease over time due to diminishing returns. However, when normalized via Daily Slopes, relative volatility has been constant for the last 8 years, underscoring Bitcoin's resilience to macroeconomic factors.
Distribution Fitting and Parameter Estimation:
To quantify the behavior of Daily Slopes, the indicator fits them to a t-location scale distribution (Student's t-distribution with location and scale parameters) over a user-configurable moving window (e.g., 365 days for annual analysis).
This distribution is chosen as the best empirical fit for the heavy-tailed, outlier-prone nature of Bitcoin's normalized returns, outperforming alternatives like Gaussian or Laplacian.t-Location Scale Distribution:
The distribution is parameterized by:μ (mu): Location parameter, representing the mean or "average slope." This is the most critical metric, stable around 5.9 across Bitcoin's history. It tracks the central tendency of Daily Slopes and signals overall market regime (e.g., rising mu indicates strengthening momentum).
σ (sigma): Scale parameter, akin to standard deviation, measuring the spread or volatility of slopes. It has shown slight increases in certain contexts (e.g., hash rate applications) but remains stable for price data.
ν (nu): Degrees of freedom, controlling the "tailedness" (lower ν means heavier tails, capturing extreme events like bubbles or crashes).
Fitting is performed on a rolling basis, updating μ, σ, and ν dynamically.
Plotting:
Local μ: Plotted as a central line, showing the moving average slope.
Deviation Bands: μ + σ (upper band) and μ - σ (lower band), highlighting 1-standard-deviation ranges.
These bands help identify overbought/oversold conditions by measuring deviations from the global mean of 5.9.
For example:
Crossing above μ + σ may signal a local maximum (potential sell opportunity).
Dipping below μ - σ could indicate a local minimum (buy signal).
Additional visualizations include raw Daily Slopes (oscillating series) and smoothed averages for clarity.
Stability and Insights:μ has remained remarkably stable over 16 years, oscillating without drift, validating the power law's predictive power.
Parameters may show minor trends in rolling windows (e.g., slight σ increases), but no monotonic drift is observed in price data. This stability extends to related metrics like addresses and hash rate, where Daily Slopes can be derived similarly (e.g., via log(A2/A1) / log((t+1)/t) for addresses, yielding equivalent slopes around 5.9).
Monte Carlo Simulations for Future Projections
The indicator enables short-term forecasting (up to 100 days) by reversing the normalization process and simulating paths using the fitted distribution.
Projection Mechanism:
Recover expected daily returns: Multiply the sampled Daily Slope (drawn from the t-location scale distribution with current μ, σ, ν) by log((t+1)/t)\log((t+1)/t)\log((t+1)/t)
.
Generate randomized samples to create up to 500 Monte Carlo paths, incorporating the distribution's properties to model uncertainty (e.g., heavy tails for rare events).
Simulations can use the full historical dataset for broader spreads or recent windows (e.g., last 8 years) for tighter, regime-specific forecasts.
Output: Fan chart of projected prices, showing median path (based on μ), confidence intervals (e.g., ±σ bands), and extreme scenarios.
Applications and Limitations:
Useful for risk assessment, e.g., probability of reaching $200K in 2025 is low (1-2% per recent simulations).
Assumes parameters evolve minimally; if drift is detected, simulations can adjust dynamically.
Not for long-term predictions (beyond 100 days), as the power law excels in multi-year trends rather than short-term noise.
Empirical validation: Simulations align with historical backtests, where deviations (bubbles/crashes) revert to the power-law trend.
Usage Notes Inputs:
Customize moving window size, number of Monte Carlo paths (default: 500), projection horizon (up to 100 days), and global slope (default: 5.9).
Visuals: Overlay on BTCUSD log-log chart for context; bands and simulations appear in separate panels.
Caveats: This is not financial advice. The power law describes emergent behavior from network effects, not guarantees. Cycles and bubbles are secondary deviations, not core to the model.
Extensions: The concept applies beyond price (e.g., to addresses or hash rate), revealing interconnected power laws in Bitcoin's ecosystem.
This indicator transforms Santostasi's theoretical insights into a practical tool, empowering users to navigate Bitcoin's dynamics with statistical rigor.
Premarket Power MovePremarket Power Move is an intraday research tool that tracks what happens after strong premarket or opening gaps.
📊 Core Idea
• When a stock opens +X% above the prior close, it often attracts momentum traders.
• This script measures whether the stock continues to follow through higher or instead fades back down within the first trading hour.
• It calculates:
• The probability of a post-gap rally vs. a drawdown
• Average and maximum retracements after the surge
• Event-day hit rate (how many days actually triggered the condition)
🎯 Use Cases
• Identify “gap-and-go” opportunities where strong premarket strength leads to further gains.
• Spot potential fade setups where early enthusiasm quickly reverses.
• Backtest your intraday strategies with objective statistics instead of gut feeling.
⚙️ Features
• Customizable thresholds for premarket/open surge (%) and follow-through window (minutes).
• Marks the chart with reference lines:
• Prior close
• Surge threshold (e.g. +6%)
• Intraday high/low used for probability calculations.
• Outputs summary statistics (probabilities, averages, counts) directly on the chart.
🔔 Note
This is not a buy/sell signal generator. It is a probability and behavior analysis tool that helps traders understand how often strong premarket gaps continue vs. fade.
Dwaggy Scalping Trio (VWAP + EMA + RSI)First attempt at pine script this is a scalping indicator that combines VWAP, EMA, and RSI to signal entry/exit for scalping lower time frames
Golden/Death Cross with SMAGolden Cross: Triggered when the 50 SMA crosses above the 200 SMA.
Death Cross: Triggered when the 50 SMA crosses below the 200 SMA.
Weekly Volume ChangeWeekly Volume Change %
See weekly volume trends at a glance! This indicator shows current vs. previous week’s volume, calculates percent change, and highlights increases (green) or decreases (red). Features customizable look-back weeks and table color for easy visualization.
Trey London + NY Open Alerts + Session LinesThis is a indicator that alerts you when London & New York opens everyday of the week.
Instructions are included if any confusion:
- Adjust Timezones:
UTC Offset
Change this if your broker’s chart is in a different timezone.
Example: 2 for UTC+2 (default).
- Enable / Disable Alerts:
Visual Alerts (Labels) they only go 10 executions back
Toggle On/Off to show labels above/below candles.
Sound Alerts
Toggle On/Off to play an alert sound when a session starts
- Using Alerts:
Go to TradingView Alerts (⏰).
Create a new alert and select:
Condition: London Open or New York Open
Action: Show pop-up, play sound, or send notification.
Alerts will trigger exactly at the session start.
Expiration: set the date as far back as you can and the time to around 23:00. You will have renew the alert after Expiration or update it to a later time.
should me a little green clock beside the indicator
- AMD:
comes with zones in London and new York time everyday and the previous day gets deleted.
Adjust Timezones, UTC Offset
Change this if your broker’s chart is in a different timezone.
Example: 2 for UTC+2 (default).
(These things may be upgraded in the future if subscription is upgraded.)
Estimated Manipulation Movement Signal [AlgoPoint]Follow the Footprints of Whale Movements That Drive the Market
Overview
The market is not always driven by natural supply and demand. Large players—often called "whales" or institutions—can create artificial price movements to trigger stop-losses, induce panic or FOMO, and build their large positions at favorable prices. These events are known as "stop hunts" or "liquidity grabs."
The EMMS indicator is a specialized tool designed to detect these specific moments of potential market manipulation. It does not follow trends in a traditional sense; instead, it identifies high-probability reversal points created by the calculated actions of Smart Money trapping other market participants.
How It Works: The 3-Module Logic
The indicator uses a multi-stage confirmation process to identify a potential stop hunt:
1. Anomaly Detection: The engine first scans the chart for "Anomaly Candles." These are candles with unusually high volume and a very long wick relative to their body. This combination signals a sudden, forceful, and potentially unnatural price push.
2. Liquidity Zone Detection: The indicator automatically identifies and tracks recent significant swing highs and lows. These levels are considered "Liquidity Zones" because they are areas where a large number of stop-loss orders are likely clustered. These are the "hunting grounds" for whales.
3. The Stop Hunt Signal: A final signal is generated only when these two events align in a specific sequence:
An Anomaly Candle (high volume, long wick) spikes through a previously identified Liquidity Zone.
The same candle then reverses, closing back inside the previous price range.
This sequence confirms that the move was likely a "trap" designed to engineer liquidity, and a reversal in the opposite direction is now highly probable.
How to Interpret & Use This Indicator
BUY Signal: A BUY signal appears after a sharp price drop that pierces a recent swing low (taking out the stops of long positions) and then aggressively reverses to close higher. This suggests that Smart Money has absorbed the panic selling they just induced. The signal indicates a potential move UP.
SELL Signal: A SELL signal appears after a sharp price spike that pierces a recent swing high (taking out the stops of short positions) and then aggressively reverses to close lower. This suggests that Smart Money has sold into the FOMO buying they just created. The signal indicates a potential move DOWN.
This indicator is best used as a high-probability confirmation tool, ideally in conjunction with your understanding of the overall market trend and structure.
Trey London + NY Open AlertsThis is a indicator that alerts you when London & New York opens everyday of the week.
Instructions are included if any confusion:
- Adjust Timezones:
UTC Offset
Change this if your broker’s chart is in a different timezone.
Example: 2 for UTC+2 (default).
- Enable / Disable Alerts:
Visual Alerts (Labels)
Toggle On/Off to show labels above/below candles.
Sound Alerts
Toggle On/Off to play an alert sound when a session starts
- Using Alerts:
Go to TradingView Alerts (⏰).
Create a new alert and select:
Condition: London Open or New York Open
Action: Show pop-up, play sound, or send notification.
Alerts will trigger exactly at the session start.
Expiration: set the date as far back as you can and the time to around 23:00. You will have renew the alert after Expiration or update it to a later time.
(These things may be upgraded in the future if subscription is upgraded.)
RJ_ Vader Master IndicatorOverview
The Rj_Vader Master Indicator is a trend-following tool designed to identify key momentum shifts using a dual EMA system. It highlights crossover signals, potential reversal levels, and visually marks significant swing highs and lows. The script provides clear dynamic support/resistance levels along with color-coded trend zones for quick market direction analysis.
🔑 Features
Dual EMA Trend Detection
Fast EMA (default 12)
Slow EMA (default 25)
Crossovers confirm trend changes.
Automatic Swing Level Marking
Detects the most recent swing high/low during crossovers.
Plots horizontal levels with optional extension.
Dynamic Line Management
Extend support/resistance levels until invalidated.
Dotted lines mark broken levels.
Adjustable limit on how many lines to display.
Visual Trend Zone Highlighting
Gradient fill between EMAs for bullish/bearish zones.
Color strength adapts to EMA spread (trend momentum).
Signal Alerts
Marks potential entry/exit points with labels and symbols at EMA crossovers.
Trading Mastery Indicator# Trading Mastery Indicator - Complete User Guide
## Overview
The Trading Mastery Indicator is a professional-grade technical analysis tool that provides high-probability trading signals with complete trade management information including entry, stop loss, and take profit levels.
## Key Features
- High-Quality Signal Detection: Identifies strong, medium, and weak trading opportunities
- Complete Trade Setup: Provides entry, stop loss, and take profit for every signal
- Risk Management: Calculates risk-to-reward ratios automatically
- Elliott Wave Analysis: Integrated wave pattern and position analysis
- Active Signal Tracking: Shows when you're currently in a trade
- Professional Alerts: Detailed notifications with all trade parameters
## Signal Quality Classification
### STRONG Signals (Premium Quality)
- Reliability: Highest probability setups
- Market Conditions: Strong trending environments
- Color: Teal for buys, Red for sells
- When to Trade: These are your primary trading opportunities
- Risk Profile: Lowest risk, highest reward potential
### MEDIUM Signals (Standard Quality)
- Reliability: Good probability setups
- Market Conditions: Moderate trend or consolidation breakouts
- Color: Gold for buys, Purple for sells (Change to Blue Gray)
- When to Trade: Secondary opportunities when strong signals are scarce
- Risk Profile: Moderate risk, good reward potential
### WEAK Signals (Entry Quality)
- Reliability: Lower probability setups
- Market Conditions: Counter-trend or unclear market structure
- Color: Coral for buys, Pink for sells
- When to Trade: Only for experienced traders in specific market conditions
- Risk Profile: Higher risk, variable reward
## How to Use the Indicator
### 1. Signal Settings Configuration
Signal Filter Options:
- All Signals: Shows every trading opportunity (strong, medium, weak)
- High Quality Only: Shows only the highest probability setups
- High + Medium Quality**: Balanced approach filtering out weak signals
Recommended Settings by Experience:
- Beginner: Use "High Quality Only"
- Intermediate: Use "High + Medium Quality"
- Advanced: Use "All Signals" with proper risk management
Label Controls:
- Label Position: Adjust how close labels appear to candles
- Label Text Size: Choose based on screen size and preference
- Maximum Labels: Control chart clutter (recommended: 20)
### 2. Understanding the Professional Panel
The panel provides real-time market intelligence:
Primary Trend: Market direction analysis
- BULLISH TREND: Look for buy opportunities only
- BEARISH TREND: Look for sell opportunities only
- CONSOLIDATION: Market indecision, trade with caution
Wave Pattern: Elliott Wave structure analysis
- IMPULSE UP: Strong bullish momentum
- IMPULSE DOWN: Strong bearish momentum
- CORRECTION: Sideways/corrective movement
Wave Position: Current Elliott Wave position
- WAVE 3 (STRONG): Most powerful moves, best for trend following
- WAVE 1 OR 5: Beginning or ending waves
- WAVE 2 OR 4: Corrective phases, lower probability
- CORRECTIVE ABC: Wait for pattern completion
Signal Grade: Current signal status
- SIGNAL ACTIVE: You're currently in a trade
- PREMIUM/STANDARD/SPECULATIVE: New signal quality
- NO SIGNAL: No current opportunities
Trading Bias: Overall market direction
- LONG BIAS: Focus on buy opportunities
- SHORT BIAS: Focus on sell opportunities
- NEUTRAL: No clear directional bias
### 3. Reading Signal Labels
Each signal provides complete trade setup information:
```
STRONG BUY
━━━━━━━━━━━━━━━━━━━━
💰 Entry: 1875.50
🛡️ SL: 1860.25
🎯 TP: 1905.75
📈 R:R = 1:2.0
━━━━━━━━━━━━━━━━━━━━
```
Understanding the Information:
- Entry: Exact price level to enter the trade
- SL: Stop loss level (risk management)
- TP: Take profit level (profit target)
- R:R: Risk-to-reward ratio (1:2.0 means you risk 1 to make 2)
### 4. Entry/TP/SL Level Lines
Visual trade management aids:
- Blue Solid Line: Entry level
- Red Dashed Line: Stop loss level
- Green Dashed Line: Take profit level
- Small Labels: "ENTRY", "SL", "TP" markers
## Trading Strategy Guidelines
### Trend Following Strategy
1. Check Panel: Ensure trend aligns with your trade direction
2. Wait for Signals: Only trade in the direction of the primary trend
3. Quality First: Focus on STRONG signals during trending markets
4. Wave Timing: WAVE 3 positions offer the best trending opportunities
### Reversal Strategy
1. Look for Divergence: Panel shows trend change signals
2. Wait for Confirmation: Don't jump early on potential reversals
3. Use MEDIUM Signals: Often good for catching early trend changes
4. Watch Wave Position: CORRECTIVE ABC patterns may signal trend completion
### Risk Management Rules
Position Sizing:
- Risk no more than 1-2% of account per trade
- Use the provided R:R ratios to calculate position sizes
- Stronger signals can justify slightly larger positions
Stop Loss Management:
- Always use the provided stop loss levels
- Never move stops against your position
- Consider trailing stops once trade moves in your favor
Take Profit Strategy:
- Use provided TP levels as minimum targets
- Consider taking partial profits at TP level
- Let strong trends run beyond TP in trending markets
## Best Practices by Timeframe
### Scalping (M1-M5)
- Use "High Quality Only" filter
- Focus on STRONG signals only
- Quick entry and exit
- Expect more false signals due to market noise
### Intraday Trading (M15-H1)
- Use "High + Medium Quality" filter
- Good balance of opportunity and reliability
- Hold trades for several hours
- Most versatile timeframe for the indicator
### Swing Trading (H4-Daily)
- Use "All Signals" with proper analysis
- Hold trades for days to weeks
- Most reliable signals on higher timeframes
- Best for beginners due to less noise
## Panel Customization
Position Options:
- Top Right: Default, doesn't interfere with price action
- Top Left: Good for wide screens
- Bottom corners: Keeps important info visible while analyzing tops
- Middle positions: Central reference, good for multi-monitor setups
Size Options:
- Small: Minimal screen space, good for small screens
- Normal: Balanced visibility and space usage
- Large: Easy reading, good for detailed analysis
Transparency: Adjust 0-95% based on preference and chart background
## Common Mistakes to Avoid
### Signal Interpretation Errors
- Don't ignore the trend: Trading against primary trend reduces success
- Don't chase weak signals: Focus on quality over quantity
- Don't ignore wave position: WAVE 2/4 corrections are lower probability
### Risk Management Errors
- Don't skip stop losses: Every signal includes SL for a reason
- Don't risk too much: Even strong signals can fail
- Don't move stops against position: Stick to the plan
### Psychological Errors
- Don't overtrade: Wait for quality setups
- Don't second-guess strong signals: Trust the analysis
- Don't panic on normal drawdowns: Expect some losing trades
## Alert Configuration
Enable alerts for:
- Strong signals: Primary trading opportunities
- Medium signals: Secondary opportunities (optional)
- Signal active status: Know when you're in trades
Alert messages include complete trade information for easy execution.
## Performance Optimization
### For Best Results:
1. Combine with price action: Look for confluence with support/resistance
2. Consider market sessions: Different sessions have different characteristics
3. Monitor news events: Avoid trading during high-impact news
4. Keep a trading journal: Track which signals work best for your style
### Regular Review:
- Weekly analysis: Review which signal types performed best
- Timeframe assessment: Determine your most profitable timeframes
- Strategy refinement: Adjust filters based on performance data
## Troubleshooting
If you're not seeing signals:
- Check that "Show Buy/Sell Signals" is enabled
- Verify your signal filter isn't too restrictive
- Market may be in a consolidation phase
If labels are cluttered:
- Reduce "Maximum Labels to Show"
- Change label position to "Far from Candle"
- Use smaller label text size
If panel is in the way:
- Change panel position
- Increase transparency
- Reduce panel size
- Toggle panel off temporarily
Remember: This indicator provides analysis and signals, but successful trading also requires proper risk management, emotional discipline, and understanding of market conditions. Always practice with demo accounts before risking real capital, and never risk more than you can afford to lose.
Rylan Trades ToolkitStay ahead of the market with this all-in-one levels indicator.
It automatically plots key opens (Midnight, Day Session, Week, Month, Quarter, Year, or custom time) plus previous Highs and Lows from multiple timeframes.
Customize your style, width, and extensions, while the indicator keeps charts clean by auto-replacing old lines as new periods begin.
Trade smarter, cut through the noise, and focus only on the levels that matter most.
Take Profit CalculatorRelease Notes: Take Profit Calculator v1.0
Introduction
Introducing the Real-Time Take Profit Calculator, a dynamic tool for TradingView designed to instantly calculate and display your target exit price. This indicator eliminates the need for manual calculations, allowing scalpers and day traders to see their profit targets directly on the chart as the market moves.
Key Features
Dynamic Target Calculation: The take-profit line is not static. It recalculates on every tick, moving with the current price to show you the exact target based on a real-time entry point.
Full Trade Customization:
Margin: Set the amount of capital (in USDT) you are allocating to the trade.
Leverage: Input your desired leverage to accurately calculate the total position size.
Desired Profit: Specify your target profit in USDT, and the indicator will calculate the corresponding price level.
Long & Short Support: Easily switch between "Long" and "Short" trade directions. The indicator will adjust the calculation and the visual style accordingly.
Customizable Display:
Change the color and width of the take-profit line for both long and short scenarios.
Toggle a price label on or off for a cleaner chart view.
How to Use
Add to Chart: Apply the "Take Profit Calculator" indicator to your chart.
Open Settings: Double-click the indicator name or the line itself to open the settings panel.
Enter Your Parameters: Under "Trade Parameters," fill in your Margin, Leverage, and Desired Profit.
Select Direction: Choose either "Long" or "Short" from the Trade Direction dropdown.
Analyze: The horizontal line on your chart now represents the exact price you need to reach
Foresight Cone (HoltxF1xVWAP) [KedArc Quant]Description:
This is a time-series forecasting indicator that estimates the next bar (F1) and projects a path a few bars ahead. It also draws a confidence cone based on how accurate the recent forecasts have been. You can optionally color the projection only when price agrees with VWAP.
Why it’s different
* One clear model: Everything comes from Holt’s trend-aware forecasting method—no mix of unrelated indicators.
* Transparent visuals: You see the next-bar estimate (F1), the forward projection, and a cone that widens or narrows based on recent forecast error.
* Context, not signals: The VWAP option only changes colors. It doesn’t add trade rules.
* No look-ahead: Accuracy is measured using the forecast made on the previous bar versus the current bar.
Inputs (what they mean)
* Source: Price series to forecast (default: Close).
* Preset: Quick profiles for fast, smooth, or momentum markets (see below).
* Alpha (Level): How fast the model reacts to new prices. Higher = faster, twitchier.
* Beta (Trend): How fast the model updates the slope. Higher = faster pivots, more flips in chop.
* Horizon: How many bars ahead to project. Bigger = wider cone.
* Residual Window: How many bars to judge recent accuracy. Bigger = steadier cone.
* Confidence Z: How wide the cone should be (typical setting ≈ “95% style” width).
* Show Bands / Draw Forward Path: Turn the cone and forward lines on/off.
* Color only when aligned with VWAP: Highlights projections only when price agrees with the trend side of VWAP.
* Colors / Show Panel: Styling plus a small panel with RMSE, MAPE, and trend slope.
Presets (when to pick which)
* Scalp / Fast (1-min): Very responsive; best for quick moves. More twitch in chop.
* Smooth Intraday (1–5 min): Calmer and steadier; a good default most days.
* Momentum / Breakout: Quicker slope tracking during strong pushes; may over-react in ranges.
* Custom: Set your own values if you know exactly what you want.
What is F1 here?
F1 is the model’s next-bar fair value. Crosses of price versus F1 can hint at short-term momentum shifts or mean-reversion, especially when viewed with VWAP or the cone.
How this helps
* Gives a baseline path of where price may drift and a cone that shows normal wiggle room.
* Helps you tell routine noise (inside cone) from information (edges or breaks outside the cone).
* Keeps you aware of short-term bias via the trend slope and F1.
How to use (step by step)
1. Add to chart → choose a Preset (start with Smooth Intraday).
2. Set Horizon around 8–15 bars for intraday.
3. (Optional) Turn on VWAP alignment to color only when price agrees with the trend side of VWAP.
4. Watch where price sits relative to the cone and F1:
* Inside = normal noise.
* At edges = stretched.
* Outside = possible regime change.
5. Check the panel: if RMSE/MAPE spike, expect a wider cone; consider a smoother preset or a higher timeframe.
6. Tweak Alpha/Beta only if needed: faster for momentum, slower for chop.
7. Combine with your own plan for entries, exits, and risk.
Accuracy Panel — what it tells you
Preset & Horizon: Shows which preset you’re using and how many bars ahead the projection goes. Longer horizons mean more uncertainty.
RMSE (error in price units): A “typical miss” measured in the chart’s currency (e.g., ₹).
Lower = tighter fit and a usually narrower cone. Rising = conditions getting noisier; the cone will widen.
MAPE (error in %): The same idea as RMSE but in percent.
Good for comparing different symbols or timeframes. Sudden spikes often hint at a regime change.
Slope T: The model’s short-term trend reading.
Positive = gentle up-bias; negative = gentle down-bias; near zero = mostly flat/drifty.
How to read it at a glance
Calm & directional: RMSE/MAPE steady or falling + Slope T positive (or negative) → trends tend to respect the cone’s mid/upper (or mid/lower) area.
Choppy/uncertain: RMSE/MAPE climbing or jumping → expect more whipsaw; rely more on the cone edges and higher-TF context.
Flat tape: Slope T near zero → mean-revert behavior is common; treat cone edges as stretch zones rather than breakout zones.
Warm-up & tweaks
Warm-up: Right after adding the indicator, the panel may be blank for a short time while it gathers enough bars.
Too twitchy? Switch to Smooth Intraday or increase the Residual Window.
Too slow? Use Scalp/Fast or Momentum/Breakout to react quicker.
Timeframe tips
* 1–3 min: Scalp/Fast or Momentum/Breakout; horizon \~8–12.
* 5–15 min: Smooth Intraday; horizon \~12–15.
* 30–60 min+: Consider a larger residual window for a steadier cone.
FAQ
Q: Is this a strategy or an indicator?
A: It’s an indicator only. It does not place orders, TP/SL, or run backtests.
Q: Does it repaint?
A: The next-bar estimate (F1) and the cone are calculated using only information available at that time. The forward path is a projection drawn on the last bar and will naturally update as new bars arrive. Historical bars aren’t revised with future data.
Q: What is F1?
A: F1 is the indicator’s best guess for the next bar.
Price crossing above/below F1 can hint at short-term momentum shifts or mean-reversion.
Q: What do “Alpha” and “Beta” do?
A: Alpha controls how fast the indicator reacts to new prices
(higher = faster, twitchier). Beta controls how fast the slope updates (higher = quicker pivots, more flips in chop).
Q: Why does the cone width change?
A: It reflects recent forecast accuracy. When the market gets noisy, the cone widens. When the tape is calm, it narrows.
Q: What does the Accuracy Panel tell me?
A:
* Preset & Horizon you’re using.
* RMSE: typical forecast miss in price units.
* MAPE: typical forecast miss in percent.
* Slope T: short-term trend reading (up, down, or flat).
If RMSE/MAPE rise, expect a wider cone and more whipsaw.
Q: The panel shows “…” or looks empty. Why?
A: It needs a short warm-up to gather enough bars. This is normal after you add the indicator or change settings/timeframes.
Q: Which timeframe is best?
A:
* 1–3 min: Scalp/Fast or Momentum/Breakout, horizon \~8–12.
* 5–15 min: Smooth Intraday, horizon \~12–15.
Higher timeframes work too; consider a larger residual window for steadier cones.
Q: Which preset should I start with?
A: Start with Smooth Intraday. If the market is trending hard, try Momentum/Breakout.
For very quick tapes, use Scalp/Fast. Switch back if things get choppy.
Q: What does the VWAP option do?
A: It only changes colors (highlights when price agrees with the trend side of VWAP).
It does not add or remove signals.
Q: Are there alerts?
A: Yes—alerts for price crossing F1 (up/down). Use “Once per bar close” to reduce noise on fast charts.
Q: Can I use this on stocks, futures, crypto, or FX?
A: Yes. It works on any symbol/timeframe. You may want to adjust Horizon and the Residual Window based on volatility.
Q: Can I use it with Heikin Ashi or other non-standard bars?
A: You can, but remember you’re forecasting the synthetic series of those bars. For pure price behavior, use regular candles.
Q: The cone feels too wide/too narrow. What do I change?
A:
* Too wide: lower Alpha/Beta a bit or increase the Residual Window.
* Too narrow (misses moves): raise Alpha/Beta slightly or try Momentum/Breakout.
Q: Why do results change when I switch timeframe or symbol?
A: Different noise levels and trends. The accuracy stats reset per chart, so the cone adapts to each context.
Q: Any limits or gotchas?
A: Extremely large Horizon may hit TradingView’s line-object limits; reduce Horizon or turn
off extra visuals if needed. Big gaps or news spikes will widen errors—expect the cone to react.
Q: Can this predict exact future prices?
A: No. It provides a baseline path and context. Always combine with your own rules and risk management.
Glossary
* TS (Time Series): Data over time (prices).
* Holt’s Method: A forecasting approach that tracks a current level and a trend to predict the next bars.
* F1: The indicator’s best guess for the next bar.
* F(h): The projected value h bars ahead.
* VWAP: Volume-Weighted Average Price—used here for optional color alignment.
* RMSE: Typical forecast miss in price units (how far off, on average).
* MAPE: Typical forecast miss in percent (scale-free, easy to compare).
Notes & limitations
* The panel needs a short warm-up; stats may be blank at first.
* The cone reflects recent conditions; sudden volatility changes will widen it.
* This is a tool for context. It does not place trades and does not promise results.
⚠️ Disclaimer
This script is provided for educational purposes only.
Past performance does not guarantee future results.
Trading involves risk, and users should exercise caution and use proper risk management when applying this strategy.
Initial Balance Breakout Signals [LuxAlgo]The Initial Balance Breakout Signals help traders identify breakouts of the Initial Balance (IB) range.
The indicator includes automatic detection of IB or can use custom sessions, highlights top and bottom IB extensions, custom Fibonacci levels, and goes further with an IB forecast with two different modes.
🔶 USAGE
The initial balance is the price range made within the first hour of the trading session. It is an intraday concept based on the idea that high volume and volatility enter the market through institutional trading at the start of the session, setting the tone for the rest of the day.
The initial balance is useful for gauging market sentiment, or, in other words, the relationship between buyers and sellers.
Bullish sentiment: Price trades above the IB range.
Mixed sentiment: Price trades within the IB range.
Bearish sentiment: Price trades below the IB range.
The initial balance high and low are important levels that many traders use to gauge sentiment. There are two main ideas behind trading around the IB range.
IB Extreme Breakout: When the price breaks and holds the IB high or low, there is a high probability that the price will continue in that direction.
IB Extreme Rejection: When the price tries to break those levels but fails, there is a high probability that it will reach the opposite IB extreme.
This indicator is a complete Initial Balance toolset with custom sessions, breakout signals, IB extensions, Fibonacci retracements, and an IB forecast. All of these features will be explained in the following sections.
🔹 Custom Sessions and Signals
By default, sessions for Initial Balance and breakout signals are in Auto mode. This means that Initial Balance takes the first hour of the trading session and shows breakout signals for the rest of the session.
With this option, traders can use the tool for open range trading, making it highly versatile. The concept behind open range (OR) is the same as that of initial balance (IB), but in OR, the range is determined by the first minute, three or five minutes, or up to the first 30 minutes of the trading session.
As shown in the image above, the top chart uses the Auto feature for the IB and Breakouts sessions. The bottom chart has the Auto feature disabled to use custom sessions for both parameters. In this case, the first three minutes of the trading session are used, turning the tool into an Open Range trading indicator.
This chart shows another example of using custom sessions to display overnight NASDAQ futures sessions.
The left chart shows a custom session from the Tokyo open to the London open, and the right chart shows a custom session from the London open to the New York open.
The chart shows both the Asian and European sessions, their top and bottom extremes, and the breakout signals from those extremes.
🔹 Initial Balance Extensions
Traders can easily extend both extremes of the Initial Balance to display their preferred targets for breakouts. Enable or disable any of them and set the IB percentage to use for the extension.
As the chart shows, the percentage selected on the settings panel directly affects the displayed levels.
Setting 25 means the tool will use a quarter of the detected initial balance range for extensions beyond the IB extremes. Setting 100 means the full IB range will be used.
Traders can use these extensions as targets for breakout signals.
🔹 Fibonacci Levels
Traders can display default or custom Fibonacci levels on the IB range to trade retracements and assess the strength of market movements. Each level can be enabled or disabled and customized by level, color, and line style.
As we can see on the chart, after the IB was completed, prices were unable to fall below the 0.236 Fibonacci level. This indicates significant bullish pressure, so it is expected that prices will rise.
Traders can use these levels as guidelines to assess the strength of the side trying to penetrate the IB. In this case, the sellers were unable to move the market beyond the first level.
🔹 Initial Balance Forecast
The tool features two different forecasting methods for the current IB. By default, it takes the average of the last ten values and applies a multiplier of one.
IB Against Previous Open: averages the difference between IB extremes and the open of the previous session.
Filter by current day of the week: averages the difference between IB extremes and the open of the current session for the same day of the week.
This feature allows traders to see the difference between the current IB and the average of the last IBs. It makes it very easy to interpret: if the current IB is higher than the average, buyers are in control; if it is lower than the average, sellers are in control.
For example, on the left side of the chart, we can see that the last day was very bullish because the IB was completely above the forecasted value. This is the IB mean of the last ten trading days.
On the right, we can see that on Monday, September 15, the IB traded slightly higher but within the forecasted value of the IB mean of the last ten Mondays. In this case, it is within expectations.
🔶 SETTINGS
Display Last X IBs: Select how many IBs to display.
Initial Balance: Choose a custom session or enable the Auto feature.
Breakouts: Enable or disable breakouts. Choose custom session or enable the Auto feature.
🔹 Extensions
Top Extension: Enable or disable the top extension and choose the percentage of IB to use.
Bottom extension: Enable or disable the bottom extension and choose the percentage of IB to use.
🔹 Fibonacci Levels
Display Fibonacci: Enable or disable Fibonacci levels.
Reverse: Reverse Fibonacci levels.
Levels, Colors & Style
Display Labels: Enable or disable labels and choose text size.
🔹 Forecast
Display Forecast: Select the forecast method.
- IB Against Previous Open: Calculates the average difference between the IB high and low and the previous day's IB open price.
- Filter by Current Day of Week: Calculates the average difference between the IB high and low and the IB open price for the same day of the week.
Forecast Memory: The number of data points used to calculate the average.
Forecast Multiplier: This multiplier will be applied to the average. Bigger numbers will result in wider predicted ranges.
Forecast Colors: Choose from a variety of colors.
Forecast Style: Choose a line style.
🔹 Style
Initial Balance Colors
Extension Transparency: Choose the extension's transparency. 0 is solid, and 100 is fully transparent.
Options Max Pain Calculator [BackQuant]Options Max Pain Calculator
A visualization tool that models option expiry dynamics by calculating "max pain" levels, displaying synthetic open interest curves, gamma exposure profiles, and pin-risk zones to help identify where market makers have the least payout exposure.
What is Max Pain?
Max Pain is the theoretical expiration price where the total dollar value of outstanding options would be minimized. At this price level, option holders collectively experience maximum losses while option writers (typically market makers) have minimal payout obligations. This creates a natural gravitational pull as expiration approaches.
Core Features
Visual Analysis Components:
Max Pain Line: Horizontal line showing the calculated minimum pain level
Strike Level Grid: Major support and resistance levels at key option strikes
Pin Zone: Highlighted area around max pain where price may gravitate
Pain Heatmap: Color-coded visualization showing pain distribution across prices
Gamma Exposure Profile: Bar chart displaying net gamma at each strike level
Real-time Dashboard: Summary statistics and risk metrics
Synthetic Market Modeling**
Since Pine Script cannot access live options data, the indicator creates realistic synthetic open interest distributions based on configurable market parameters including volume patterns, put/call ratios, and market maker positioning.
How It Works
Strike Generation:
The tool creates a grid of option strikes centered around the current price. You can control the range, density, and whether strikes snap to realistic market increments.
Open Interest Modeling:
Using your inputs for average volume, put/call ratios, and market maker behavior, the indicator generates synthetic open interest that mirrors real market dynamics:
Higher volume at-the-money with decay as strikes move further out
Adjustable put/call bias to reflect current market sentiment
Market maker inventory effects and typical short-gamma positioning
Weekly options boost for near-term expirations
Pain Calculation:
For each potential expiry price, the tool calculates total option payouts:
Call options contribute pain when finishing in-the-money
Put options contribute pain when finishing in-the-money
The strike with minimum total pain becomes the Max Pain level
Gamma Analysis:
Net gamma exposure is calculated at each strike using standard option pricing models, showing where hedging flows may be most intense. Positive gamma creates price support while negative gamma can amplify moves.
Key Settings
Basic Configuration:
Number of Strikes: Controls grid density (recommended: 15-25)
Days to Expiration: Time until option expiry
Strike Range: Price range around current level (recommended: 8-15%)
Strike Increment: Spacing between strikes
Market Parameters:
Average Daily Volume: Baseline for synthetic open interest
Put/Call Volume Ratio: Market sentiment bias (>1.0 = bearish, <1.0 = bullish) It does not work if set to 1.0
Implied Volatility: Current option volatility estimate
Market Maker Factors: Dealer positioning and hedging intensity
Display Options:
Model Complexity: Simple (line only), Standard (+ zones), Advanced (+ heatmap/gamma)
Visual Elements: Toggle individual components on/off
Theme: Dark/Light mode
Update Frequency: Real-time or daily calculation
Reading the Display
Dashboard Table (Top Right):
Current Price vs Max Pain Level
Distance to Pain: Percentage gap (smaller = higher pin risk)
Pin Risk Assessment: HIGH/MEDIUM/LOW based on proximity and time
Days to Expiry and Strike Count
Model complexity level
Visual Elements:
Red Line: Max Pain level where payout is minimized
Colored Zone: Pin risk area around max pain
Dotted Lines: Major strike levels (green = support, orange = resistance)
Color Bar: Pain heatmap (blue = high pain, red = low pain/max pain zones)
Horizontal Bars: Gamma exposure (green = positive, red = negative)
Yellow Dotted Line: Gamma flip level where hedging behavior changes
Trading Applications
Expiration Pinning:
When price is near max pain with limited time remaining, there's increased probability of gravitating toward that level as market makers hedge their positions.
Support and Resistance:
High open interest strikes often act as magnets, with max pain representing the strongest gravitational pull.
Volatility Expectations:
Above gamma flip: Expect dampened volatility (long gamma environment)
Below gamma flip: Expect amplified moves (short gamma environment)
Risk Assessment:
The pin risk indicator helps gauge likelihood of price manipulation near expiry, with HIGH risk suggesting potential range-bound action.
Best Practices
Setup Recommendations
Start with Model Complexity set to "Standard"
Use realistic strike ranges (8-12% for most assets)
Set put/call ratio based on current market sentiment
Adjust implied volatility to match current levels
Interpretation Guidelines:
Small distance to pain + short time = high pin probability
Large gamma bars indicate key hedging levels to monitor
Heatmap intensity shows strength of pain concentration
Multiple nearby strikes can create wider pin zones
Update Strategy:
Use "Daily" updates for cleaner visuals during trading hours
Switch to "Every Bar" for real-time analysis near expiration
Monitor changes in max pain level as new options activity emerges
Important Disclaimers
This is a modeling tool using synthetic data, not live market information. While the calculations are mathematically sound and the modeling realistic, actual market dynamics involve numerous factors not captured in any single indicator.
Max pain represents theoretical minimum payout levels and suggests where natural market forces may create gravitational pull, but it does not guarantee price movement or predict exact expiration levels. Market gaps, news events, and changing volatility can override these dynamics.
Use this tool as additional context for your analysis, not as a standalone trading signal. The synthetic nature of the data makes it most valuable for understanding market structure and potential zones of interest rather than precise price prediction.
Technical Notes
The indicator uses established option pricing principles with simplified implementations optimized for Pine Script performance. Gamma calculations use standard financial models while pain calculations follow the industry-standard definition of minimized option payouts.
All visual elements use fixed positioning to prevent movement when scrolling charts, and the tool includes performance optimizations to handle real-time calculation without timeout errors.
MOH Trend Pulse
Educational overlay that highlights context zones and potential points of interest using an internal adaptive model.
No signals, no financial advice. For research only; use with proper risk management
JessieOBS with MACD - The Evil MACD 3.0中文版说明在后面
JessieOBS takes the classic MACD to the next level by clearly highlighting overbought and oversold zones.
While the traditional MACD works well for spotting uptrends and downtrends, it often struggles in sideways markets—producing false signals and useless crossovers that can trigger unnecessary stop losses. JessieOBS solves this problem, giving you cleaner, more reliable signals even when the market is moving sideways.
The thick red line signals an oversold area, hinting that a price reversal to an uptrend may happen soon.
The thick blue line signals an overbought area, hinting that a price reversal to a downtrend may happen soon.
JessieOBS helps you filter sideways trends, improving your win rate.
WARNING: JessieOBS is only an early WARNING, NOT A TRADE ENTRY SIGNAL.
When a warning appears, stay alert and wait for confirmation—through price action, divergences , or the theory of entanglement.
With the right approach, JessieOBS can take your win rate to the next level!
JessieOBS 3.0 – Update Highlights
New Feature: Automatic Divergence Detection
To enhance the effectiveness of JessieOBS, version 3.0 introduces automatic divergence marking. Using divergence alongside JessieOBS can improve win rates and help pinpoint potential reversal points more accurately.
1. Focused on MACD Histogram Divergence
Only the MACD histogram is used for divergence detection; the MACD divergences are not marked. This is because JessieOBS is a leading indicator, and the MACD lines and histogram convey different information:
MACD Line: Represents the overall trend and changes more gradually.
MACD Histogram: Reflects direction and momentum, changing more quickly.
Since JessieOBS is designed for early warning signals, observing divergence on the histogram allows for more precise detection of potential reversals.
2. How JessieOBS Divergence Differs from Other Indicators
Most divergence indicators on the market rely on future functions to repaint signals. This is necessary because a peak or trough can only be confirmed after it has formed. As a result, these indicators often repaint continuously until the last signal is fixed.
In JessieOBS, key divergence lines are preserved, allowing you to clearly track how signals evolved in real time, rather than retrospectively identifying tops or bottoms after the fact.
3. Usage Notes
Divergence lines may repaint and should be used as reference and alerts only. Rest assured, the core JessieOBS signals do not repaint or shift—they remain stable and reliable.
4. Interpreting Divergence Strength
Stronger Divergence: Larger price differences between two points create steeper divergence lines, indicating a more significant signal.
Weaker Divergence: Smaller price differences produce flatter lines, suggesting a milder and less impactful signal.
中文版说明：
传统的MACD可以很明确识别出趋势，但有两个最大的缺点：第一是滞后性，第二是假信号。所以MACD在趋势行情里比较好用（不管是上升趋势还是下降趋势），但在横盘期间，就会产生很多的假信号。
JessieOBS就解决了MACD不准的问题，在MACD的信号线上，添加了白色和蓝色的粗线，红色粗线代表价格超卖，接下来很可能会反转上涨，蓝色粗线代表价格超买，接下来很可能会反转下跌。市场横盘期间，JessieOBS很少会给出超买或者超卖信号，从而有效过滤了MACD的假信号。
注意！JessieOBS只能作为一个提前的预警，一定不能把JessieOBS当做入场信号看待。因为JessieOBS只预警价格可能会反转，但并不能预测出价格发生反转的准确时间。
正确的做法是，一旦看见JessieOBS的预警信号，就应该重点关注，再用其他的方式找到准确的入场点。裸k交易法是有用的，找到反转的趋势k线作为入场点。
强烈推荐：出现预警信号之后根据背离点入场，这种方法的胜率不错。
强烈推荐：出现预警信号之后根据缠论分析入场，利用缠论分析出的入场点胜率可以更高。
JessieOBS 3.0 更新说明
新加入功能：背离自动标注
在使用JessieOBS的过程中，结合背离会提高胜率，以及更精准找到反转点，所以在指标中加入了自动标注背离的功能。
1 没有标注MACD线的背离，只计算了MACD histogram部分背离，因为JessieOBS是一个左侧指标，但MACD线和柱状图代表的含义不同：
fastMA = f_calcMA(Source, Period, Type)
slowMA=f_calcMA(Source, Period, Type)
macdLine = fastMA - slowMA
signalLine=f_calcMA(macdLine,Period,Type)
macdHist = macdLine - signalLine
MACD线代表趋势，变化更慢，MACD histogram代表方向和力度，变化更快。
JessieOBS本身就是一个左侧指标，属于提前预警，那就应该观察柱状图的背离，这样才能更精确。
2 和市场上常见背离指标的区别：
其他背离指标，一般会用一个未来函数重绘图形，注意，涉及到背离的判断一定会用到未来函数，因为一个顶只有走出来了，你才能判断这是一个顶，否则就还有可能继续往上延伸，因为这一点逻辑本身的原因，所以背离一定会用到未来函数。
其他指标在连续背离发生的时候，一般都会不断重绘图形，直到保留最后一个信号的位置。
我在写背离的过程中，保留了一些主要的线段，这样就可以更清晰看见当时的演变过程，而不是站在事后的上帝视角回头去找一个确定的底或顶。
3 使用过程中，背离线因为有重绘的功能，所以只能用于参考和提醒，JessieOBS的信号仍然没有重绘和漂移，请放心使用。
4 背离的程度判定：两点价差越大，背离线的斜率越大，就可以判断背离越明显，这个背离的指导意义就越大；相反，两点价差越小，背离线的斜率越小，就可以判断背离越轻微，这个背离的指导意义就越小。
CA Trading BUY/SELL with TPThis indicator combines trend confirmation, pivot structure, and Take-Profit targets to give traders structured BUY and SELL signals with dynamic profit-taking options.
Key Features
- BUY & SELL Signals
- Generated from EMA crossover, RSI filter, and pivot-based trend detection.
- Green “BUY” and red “SELL” signals are displayed directly on the chart.
- Take-Profit Targets
- TP lines automatically end when price hits them (liquidity sweep) or after a set number of candles.
Customizable Settings
- EMA lengths, RSI settings, pivot sensitivity, and TP line length.
- Adjust Take-Profit targets
Use Cases
- Helps identify clear entry signals with structured TP levels.
- Supports profit-taking strategies.
- Highlights liquidity grabs for Smart Money Concept (SMC) traders.
HAZ_10FSuper Trends Bot 10Frams .
A custom indicator that displays enhanced candles with a dynamic signal line and ATR-based alerts.
It highlights market direction using color-coded bars and provides clear buy/sell signals for entries and exits.
Designed for traders who want quick signals and smoother price action with reduced market noise.
