Mariam Smart FlipPurpose
This tool identifies high-probability intraday reversals by detecting when price flips through the daily open after strong early-session commitment.
How It Works
A valid flip occurs when:
The previous daily candle is bullish or bearish
The first hour today continues in the same direction
Then, the price flips back through the daily open with a minimum break threshold (user-defined)
This setup is designed to catch liquidity grabs or fakeouts near the daily open, where early buyers or sellers get trapped after showing commitment
Signal Logic
Buy Flip
Previous day bearish → first hour bearish → price flips above open
Sell Flip
Previous day bullish → first hour bullish → price flips below open
Features
Configurable flip threshold in percentage
Signals only activate after the first hour ends
Daily open line displayed on chart
Simple triangle markers with no visual clutter
Alerts ready to use for automation or notifications
Usage Tips
Use "Once Per Bar" alert mode to get notified immediately when the flip happens
Works best in active markets like FX, indices, or crypto
Adjust threshold based on asset volatility
Suggested stop loss: use the previous daily high for sell flips or the previous daily low for buy flips
Suggested take profit: secure at least 30 pips to aim for a 1:3 risk-to-reward ratio on average
Dönemler
PRO Investing - LevelPRO Investing - Level
📊 Dynamic Support/Resistance
This indicator plots the PRO Investing Level, defined as the midpoint between the highest high and lowest low over the past 252 trading days (default lookback period, equivalent to ~1 year). It acts as a key mean-reversion reference level, useful for identifying potential support/resistance zones or market equilibrium levels.
Features:
🕰️ Option to display only today’s level or historical levels.
⚙️ Customizable lookback period for flexibility across timeframes and strategies.
📉 Teal line plotted directly on the chart, highlighting this institutional-grade level.
Ideal for traders looking to anchor price action to significant historical ranges—particularly useful in mean-reversion, breakout, or volatility compression strategies.
Luma DCA Tracker (BTC)Luma DCA Tracker (BTC) – User Guide
Function
This indicator simulates a regular Bitcoin investment strategy (Dollar Cost Averaging). It calculates and visualizes:
Accumulated BTC amount
Average entry price
Total amount invested
Current portfolio value
Profit/loss in absolute and percentage terms
Settings
Investment per interval
Fixed amount to be invested at each interval (e.g., 100 USD)
Start date
The date when DCA simulation begins
Investment interval
Choose between:
daily, weekly, every 14 days, or monthly
Show investment data
Displays additional chart lines (total invested, value, profit, etc.)
Chart Elements
Orange line: Average DCA entry price
Grey dots: Entry points based on selected interval
Info box (bottom left): Live summary of all key values
Notes
Purchases are simulated at the closing price of each interval
No fees, slippage, or taxes are included
The indicator is a simulation only and not linked to an actual portfolio
Copper to Bitcoin RatioRatio: Divides copper price by Bitcoin price (copper / bitcoin). Since copper is in USD per pound and Bitcoin is in USD, the ratio is unitless but reflects copper’s value relative to Bitcoin.
Plotting: The ratio is plotted as a blue line, with an optional 20-period simple moving average (red line) for smoothing.
This can reflect market sentiment (e.g., industrial demand vs. crypto speculation).
Copper to Gold Ratioratio = copper / gold: Calculates the ratio by dividing copper price by gold price.
plot(ratio): Plots the ratio as a blue line.
ma = ta.sma(ratio, 20): Adds a 20-period simple moving average (optional) to smooth the ratio, plotted as a red line.
A rising Copper/Gold ratio often signals economic expansion (strong copper demand relative to gold), while a falling ratio may indicate economic uncertainty or recession fears, as gold outperforms copper.
The ratio is also used as a leading indicator for 10-year U.S. Treasury yields, with a rising ratio often correlating with higher yields.
Adaptive Quadratic Kernel EnvelopeThis study draws a fair-value curve from a quadratic-weighted (Nadaraya-Watson) regression. Alpha sets how sharply weights decay inside the look-back window, so you trade lag against smoothness with one slider. Band half-width is ATRslow times a bounded fast/slow ATR ratio, giving an instant response to regime shifts without overshooting on spikes. Work in log space when an instrument grows exponentially, equal percentage moves then map to equal vertical steps. NearBase and FarBase define a progression of adaptive thresholds, useful for sizing exits or calibrating mean-reversion logic. Non-repaint mode keeps one-bar delay for clean back-tests, predictive mode shows the zero-lag curve for live decisions.
Key points
- Quadratic weights cut phase error versus Gaussian or SMA-based envelopes.
- Dual-ATR scaling updates width on the next bar, no residual lag.
- Log option preserves envelope symmetry across multi-decade data.
- Alpha provides direct control of curvature versus noise.
- Built-in alerts trigger on the first adaptive threshold, ready for automation.
Typical uses
Trend bias from the slope of the curve.
Entry timing when price pierces an inner threshold and momentum stalls.
Breakout confirmation when closes hold beyond outer thresholds while volatility expands.
Stops and targets anchored to chosen thresholds, automatically matching current noise.
Day of Week Highlighter# 📅 Day of Week Highlighter - Global Market Edition
**Enhanced visual trading tool that highlights each day of the week with customizable colors across all major global financial market timezones.**
## 🌍 Global Market Coverage
This indicator supports **27 major financial market timezones**, including:
- **Asia-Pacific**: Tokyo, Sydney, Hong Kong, Singapore, Shanghai, Seoul, Mumbai, Dubai, Auckland (New Zealand)
- **Europe**: London, Frankfurt, Zurich, Paris, Amsterdam, Moscow, Istanbul
- **Americas**: New York, Chicago, Toronto, São Paulo, Buenos Aires
- **Plus UTC and other key financial centers**
## ✨ Key Features
### 🎨 **Fully Customizable Colors**
- Individual color picker for each day of the week
- Transparent overlays that don't obstruct price action
- Professional color scheme defaults
### 🌐 **Comprehensive Timezone Support**
- 27 major global financial market timezones
- Automatic daylight saving time adjustments
- Perfect for multi-market analysis and global trading
### ⚙️ **Flexible Display Options**
- Toggle individual days on/off
- Optional day name labels with size control
- Clean, professional appearance
### 📊 **Trading Applications**
- **Market Session Analysis**: Identify trading patterns by day of week
- **Multi-Market Coordination**: Track different markets in their local time
- **Pattern Recognition**: Spot day-specific market behaviors
- **Risk Management**: Avoid trading on historically volatile days
## 🔧 How to Use
1. **Add to Chart**: Apply the indicator to any timeframe
2. **Select Timezone**: Choose your preferred market timezone from the dropdown
3. **Customize Colors**: Set unique colors for each day in the settings panel
4. **Enable/Disable Days**: Toggle specific days on or off as needed
5. **Optional Labels**: Show day names with customizable label sizes
## 💡 Pro Tips
- Use different color intensities to highlight your preferred trading days
- Combine with other session indicators for comprehensive market timing
- Perfect for swing traders who want to identify weekly patterns
- Ideal for international traders managing multiple market sessions
## 🎯 Perfect For
- Day traders tracking intraday patterns
- Swing traders analyzing weekly cycles
- International traders managing multiple markets
- Anyone wanting better visual organization of their charts
**Works on all timeframes and instruments. Set it once, trade with confidence!**
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*Compatible with Pine Script v6 | No repainting | Lightweight performance*
Market Sessions Indicator by NomadTradesCustomisable Market session indicator
This indicator visually marks the high and low price levels for the Asia, London, and New York trading sessions directly on the chart, using distinct horizontal lines and color-coding for each session. Each session’s high and low are labelled for easy identification, allowing traders to quickly assess key support and resistance levels established during major global market hours. The indicator is designed for clear session demarcation, helping users identify price reactions at these significant levels and supporting multi-session analysis for intraday and swing trading strategies
Weekend Background Highlighter (UTC+12)## Weekend Background Highlighter (UTC+12)
### Description
This indicator automatically highlights weekend periods on your TradingView charts specifically for the UTC+12 timezone (New Zealand Standard Time). Perfect for traders who need to visualize market closures and weekend gaps in the New Zealand/Pacific time zone, regardless of their exchange's native timezone or chart settings.
### Key Features
- **Fixed UTC+12 Timezone**: Hardcoded to always show weekends according to UTC+12, independent of exchange or chart timezone settings
- **Customizable Appearance**: Adjust background color and opacity to match your chart theme
- **Optional Weekend Labels**: Mark the beginning of each weekend period with customizable labels
- **Debug Mode**: View real-time timezone calculations to verify correct weekend detection
- **Lightweight**: Minimal performance impact with efficient calculations
### Use Cases
- **Forex Traders**: Identify weekend gaps and Monday openings in NZD pairs
- **Cryptocurrency Traders**: Visualize weekend trading patterns in the Pacific timezone
- **Multi-Market Traders**: Maintain consistent weekend awareness across different exchanges
- **Risk Management**: Clearly see when markets are closed for position management
### Settings
- **Weekend Background Color**: Choose any color for the weekend highlight
- **Opacity**: Control transparency (0-100%) to maintain chart visibility
- **Show Weekend Labels**: Toggle labels marking weekend start
- **Debug Info**: Display timezone calculations for verification
### How It Works
The indicator calculates the current UTC time and adds 12 hours to determine the UTC+12 time. It then checks if the resulting day falls on Saturday or Sunday, highlighting these periods on your chart. This ensures weekends are always displayed according to New Zealand time, regardless of your broker's timezone or your local settings.
### Notes
- Weekends begin at 00:00 Saturday UTC+12 (12:00 Friday UTC)
- Weekends end at 00:00 Monday UTC+12 (12:00 Sunday UTC)
- Works on all timeframes and markets
- Compatible with Pine Script v6
### Tags
weekend, background, timezone, UTC+12, New Zealand, highlight, trading sessions, forex, crypto, time zones, market hours, pacific time
True Hour Open🧠 Why Count an Hour from 30th Minute to 30th Minute?
✅ Traditional Hour vs. Functional Hour
Traditional Time Logic: We’re used to viewing time in clean hourly chunks: 12:00 to 1:00, 1:00 to 2:00, and so on. This structure is fine for general purposes like clocks, meetings, and schedules.
Market Logic: Markets, however, don’t always respect these arbitrary human-made time divisions. Price action often develops momentum, structure, and transitions based on market participants' behavior, not on the clock.
🛠 What the Indicator Does
Marks the start of each hour at the 30th minute past the hour (e.g., 1:30, 2:30, 3:30).
Can highlight or segment candles that fall within a “30-to-30” hourly window.
Optionally draws background shading, lines, or boxes to visually group candles from one 30-minute mark to the next.
This helps you:
Visually align your trading with more accurate price behavior windows.
Anchor time blocks around actual market rhythm, not artificial time slots.
Backtest and strategize based on how candles behave in these alternative hourly segments.
📈 Summary
Trading is about timing. But great trading is about timing that makes sense.
By redefining the hour from 30 to 30, you’re not changing time—you’re aligning with how price moves in time.
Setup Score OscillatorSetup Score Oscillator – Full Description
🎯 Purpose of the Script
This script is a manual trading setup scoring tool, designed to help traders quantify the quality of a trade setup by combining multiple technical, cyclical, and contextual signals.
Instead of relying on a single indicator, the trader manually selects which signals are present, and the script calculates a total score (0–100%), displayed as an oscillator in a separate panel (like RSI or MACD).
🔧 How it works in practice
1. Manual signal inputs
The script presents a set of checkboxes in the settings, where the trader can enable/disable the following signals:
✅ Confirmed Support/Resistance
✅ Aligned Volume Profile
✅ Favorable Cyclic Timing
✅ Valid Trend Line
✅ Aligned Cyclical Moving Averages
✅ Relevant Fibonacci Level
✅ Classic Volume Signal (spike, dry-up, etc.)
✅ Oscillator confirmation (e.g., divergences)
✅ Extreme Sentiment
✅ Relevant or incoming News
Each selected signal contributes to the total score based on its weight.
2. Scoring system
Each signal has a default weight (e.g., 20% for support/resistance, 15% for cycles, etc.).
Optionally, the trader can enable the “custom weights” checkbox and adjust each signal’s weight directly in the settings.
3. Score visualization
The final score (sum of all active weights) is plotted as an oscillator ranging from 0 to 100%, with dynamic coloring:
Range Color Meaning
0–39% Red No valid setup
40–54% Yellow Watchlist only
55–69% Orange Good setup
70–100% Green Strong setup
Several horizontal threshold lines are displayed:
50% → neutral threshold
40%, 55%, 70% → operational levels
4. Optional background coloring
When the score exceeds 55% or 70%, the oscillator background lightly changes color to highlight stronger setups (non-intrusive).
📌 Practical benefits
Objectifies subjective analysis: each decision becomes a number.
Prevents overtrading: no entries if the score is too low.
Adaptable to any trading style: swing, intraday, positional.
User-friendly: no coding needed – just tick boxes.
Italiano:
Setup Score Oscillator – Descrizione completa
🎯 Obiettivo dello script
Lo script è uno strumento manuale di valutazione dei setup di trading, pensato per aiutare il trader a quantificare la qualità di un'opportunità operativa basandosi su più segnali tecnici, ciclici e contestuali.
Invece di affidarsi a un solo indicatore, il trader seleziona manualmente quali segnali sono presenti, e lo script calcola un punteggio complessivo percentuale (0–100%), rappresentato come oscillatore in una finestra separata (tipo RSI, MACD, ecc.).
🔧 Come funziona operativamente
1. Input manuale dei segnali
Lo script mostra una serie di checkbox nelle impostazioni, dove il trader può attivare o disattivare i seguenti segnali:
✅ Supporto/Resistenza confermata
✅ Volume Profile allineato
✅ Cicli o timing favorevole
✅ Trend line valida
✅ Medie mobili cicliche allineate
✅ Livello di Fibonacci rilevante
✅ Volume classico significativo (spike, dry-up)
✅ Conferme da oscillatori (es. divergenze)
✅ Sentiment estremo (es. euforia o panico)
✅ News importanti imminenti o appena uscite
Ogni casella attiva contribuisce al punteggio totale, con un peso specifico.
2. Sistema di punteggio
Ogni segnale ha un peso predefinito (es. 20% per supporti/resistenze, 15% per cicli, ecc.).
Facoltativamente, il trader può attivare la funzione “Enable custom weights” per personalizzare i pesi di ciascun segnale direttamente da input.
3. Visualizzazione del punteggio
Il punteggio complessivo (somma dei pesi attivati) viene tracciato come oscillatore da 0 a 100%, con colori dinamici:
Range Colore Significato
0–39% Rosso Nessun setup valido
40–54% Giallo Osservazione
55–69% Arancione Setup buono
70–1005 Verde Setup forte
Sono tracciate anche delle linee guida orizzontali a:
50% → soglia neutra
40%, 55%, 70% → soglie operative
4. Colorazione dello sfondo (facoltativa)
Quando il punteggio supera 55% o 70%, lo sfondo dell’oscillatore cambia leggermente colore per evidenziare il segnale (non invasivo).
📌 Vantaggi pratici
Oggettivizza l’analisi soggettiva: ogni decisione manuale si trasforma in un numero.
Evita overtrading: se il punteggio è troppo basso, non si entra.
Adattabile a ogni stile: swing, intraday, position.
Facile da usare anche senza codice: basta spuntare le caselle.
Identical Candles Detector [Premium]Identical Candles Detector
Advanced pattern recognition for consecutive similar candles
Description
This professional-grade indicator detects sequences of nearly identical candles, a pattern often signaling consolidation before significant breakouts. Unlike basic similarity detectors, it employs a weighted comparison system evaluating both candle bodies and wicks with adjustable tolerance.
Key Features:
Smart Comparison Algorithm: Weighs body vs. wick importance (adjustable 0-100%)
Directional Filtering: Optional same-direction requirement for bullish/bearish consistency
Statistical Backtesting: Tracks historical pattern success rates in real-time
Future Projection: Analyzes post-pattern performance with customizable lookahead
Visual Highlighting: Clear pattern marking with optional performance statistics
How It Works:
Calculates weighted candle size (body + wicks)
Compares consecutive candles within user-defined tolerance
Verifies directional consistency when enabled
Evaluates future price action for statistical significance
Usage Guidelines:
Best used on 15m-4h timeframes for swing trading
Combine with volume confirmation for higher probability signals
Tighten tolerance (3-5%) for more precise patterns
Use minimum pattern distance to avoid over-crowding
Technical Notes:
Safe historical access prevents lookback errors
Comprehensive input validation ensures stable operation
Memory-efficient implementation supports long backtests
Why This Stands Out:
While simple candle patterns are common, this tool adds:
Quantitative similarity measurement
Configurable component weighting
Built-in performance analytics
Professional-grade alert conditions
Note: This is not a standalone trading system. Always use with proper risk management and confirmation from other indicators.
Multifractal Forecast [ScorsoneEnterprises]Multifractal Forecast Indicator
The Multifractal Forecast is an indicator designed to model and forecast asset price movements using a multifractal framework. It uses concepts from fractal geometry and stochastic processes, specifically the Multifractal Model of Asset Returns (MMAR) and fractional Brownian motion (fBm), to generate price forecasts based on historical price data. The indicator visualizes potential future price paths as colored lines, providing traders with a probabilistic view of price trends over a specified trading time scale. Below is a detailed breakdown of the indicator’s functionality, inputs, calculations, and visualization.
Overview
Purpose: The indicator forecasts future price movements by simulating multiple price paths based on a multifractal model, which accounts for the complex, non-linear behavior of financial markets.
Key Concepts:
Multifractal Model of Asset Returns (MMAR): Models price movements as a multifractal process, capturing varying degrees of volatility and self-similarity across different time scales.
Fractional Brownian Motion (fBm): A generalization of Brownian motion that incorporates long-range dependence and self-similarity, controlled by the Hurst exponent.
Binomial Cascade: Used to model trading time, introducing heterogeneity in time scales to reflect market activity bursts.
Hurst Exponent: Measures the degree of long-term memory in the price series (persistence, randomness, or mean-reversion).
Rescaled Range (R/S) Analysis: Estimates the Hurst exponent to quantify the fractal nature of the price series.
Inputs
The indicator allows users to customize its behavior through several input parameters, each influencing the multifractal model and forecast generation:
Maximum Lag (max_lag):
Type: Integer
Default: 50
Minimum: 5
Purpose: Determines the maximum lag used in the rescaled range (R/S) analysis to calculate the Hurst exponent. A higher lag increases the sample size for Hurst estimation but may smooth out short-term dynamics.
2 to the n values in the Multifractal Model (n):
Type: Integer
Default: 4
Purpose: Defines the resolution of the multifractal model by setting the size of arrays used in calculations (N = 2^n). For example, n=4 results in N=16 data points. Larger n increases computational complexity and detail but may exceed Pine Script’s array size limits (capped at 100,000).
Multiplier for Binomial Cascade (m):
Type: Float
Default: 0.8
Purpose: Controls the asymmetry in the binomial cascade, which models trading time. The multiplier m (and its complement 2.0 - m) determines how mass is distributed across time scales. Values closer to 1 create more balanced cascades, while values further from 1 introduce more variability.
Length Scale for fBm (L):
Type: Float
Default: 100,000.0
Purpose: Scales the fractional Brownian motion output, affecting the amplitude of simulated price paths. Larger values increase the magnitude of forecasted price movements.
Cumulative Sum (cum):
Type: Integer (0 or 1)
Default: 1
Purpose: Toggles whether the fBm output is cumulatively summed (1=On, 0=Off). When enabled, the fBm series is accumulated to simulate a price path with memory, resembling a random walk with long-range dependence.
Trading Time Scale (T):
Type: Integer
Default: 5
Purpose: Defines the forecast horizon in bars (20 bars into the future). It also scales the binomial cascade’s output to align with the desired trading time frame.
Number of Simulations (num_simulations):
Type: Integer
Default: 5
Minimum: 1
Purpose: Specifies how many forecast paths are simulated and plotted. More simulations provide a broader range of possible price outcomes but increase computational load.
Core Calculations
The indicator combines several mathematical and statistical techniques to generate price forecasts. Below is a step-by-step explanation of its calculations:
Log Returns (lgr):
The indicator calculates log returns as math.log(close / close ) when both the current and previous close prices are positive. This measures the relative price change in a logarithmic scale, which is standard for financial time series analysis to stabilize variance.
Hurst Exponent Estimation (get_hurst_exponent):
Purpose: Estimates the Hurst exponent (H) to quantify the degree of long-term memory in the price series.
Method: Uses rescaled range (R/S) analysis:
For each lag from 2 to max_lag, the function calc_rescaled_range computes the rescaled range:
Calculate the mean of the log returns over the lag period.
Compute the cumulative deviation from the mean.
Find the range (max - min) of the cumulative deviation.
Divide the range by the standard deviation of the log returns to get the rescaled range.
The log of the rescaled range (log(R/S)) is regressed against the log of the lag (log(lag)) using the polyfit_slope function.
The slope of this regression is the Hurst exponent (H).
Interpretation:
H = 0.5: Random walk (no memory, like standard Brownian motion).
H > 0.5: Persistent behavior (trends tend to continue).
H < 0.5: Mean-reverting behavior (price tends to revert to the mean).
Fractional Brownian Motion (get_fbm):
Purpose: Generates a fractional Brownian motion series to model price movements with long-range dependence.
Inputs: n (array size 2^n), H (Hurst exponent), L (length scale), cum (cumulative sum toggle).
Method:
Computes covariance for fBm using the formula: 0.5 * (|i+1|^(2H) - 2 * |i|^(2H) + |i-1|^(2H)).
Uses Hosking’s method (referenced from Columbia University’s implementation) to generate fBm:
Initializes arrays for covariance (cov), intermediate calculations (phi, psi), and output.
Iteratively computes the fBm series by incorporating a random term scaled by the variance (v) and covariance structure.
Applies scaling based on L / N^H to adjust the amplitude.
Optionally applies cumulative summation if cum = 1 to produce a path with memory.
Output: An array of 2^n values representing the fBm series.
Binomial Cascade (get_binomial_cascade):
Purpose: Models trading time (theta) to account for non-uniform market activity (e.g., bursts of volatility).
Inputs: n (array size 2^n), m (multiplier), T (trading time scale).
Method:
Initializes an array of size 2^n with values of 1.0.
Iteratively applies a binomial cascade:
For each block (from 0 to n-1), splits the array into segments.
Randomly assigns a multiplier (m or 2.0 - m) to each segment, redistributing mass.
Normalizes the array by dividing by its sum and scales by T.
Checks for array size limits to prevent Pine Script errors.
Output: An array (theta) representing the trading time, which warps the fBm to reflect market activity.
Interpolation (interpolate_fbm):
Purpose: Maps the fBm series to the trading time scale to produce a forecast.
Method:
Computes the cumulative sum of theta and normalizes it to .
Interpolates the fBm series linearly based on the normalized trading time.
Ensures the output aligns with the trading time scale (T).
Output: An array of interpolated fBm values representing log returns over the forecast horizon.
Price Path Generation:
For each simulation (up to num_simulations):
Generates an fBm series using get_fbm.
Interpolates it with the trading time (theta) using interpolate_fbm.
Converts log returns to price levels:
Starts with the current close price.
For each step i in the forecast horizon (T), computes the price as prev_price * exp(log_return).
Output: An array of price levels for each simulation.
Visualization:
Trigger: Updates every T bars when the bar state is confirmed (barstate.isconfirmed).
Process:
Clears previous lines from line_array.
For each simulation, plots a line from the current bar’s close price to the forecasted price at bar_index + T.
Colors the line using a gradient (color.from_gradient) based on the final forecasted price relative to the minimum and maximum forecasted prices across all simulations (red for lower prices, teal for higher prices).
Output: Multiple colored lines on the chart, each representing a possible price path over the next T bars.
How It Works on the Chart
Initialization: On each bar, the indicator calculates the Hurst exponent (H) using historical log returns and prepares the trading time (theta) using the binomial cascade.
Forecast Generation: Every T bars, it generates num_simulations price paths:
Each path starts at the current close price.
Uses fBm to model log returns, warped by the trading time.
Converts log returns to price levels.
Plotting: Draws lines from the current bar to the forecasted price T bars ahead, with colors indicating relative price levels.
Dynamic Updates: The forecast updates every T bars, replacing old lines with new ones based on the latest price data and calculations.
Key Features
Multifractal Modeling: Captures complex market dynamics by combining fBm (long-range dependence) with a binomial cascade (non-uniform time).
Customizable Parameters: Allows users to adjust the forecast horizon, model resolution, scaling, and number of simulations.
Probabilistic Forecast: Multiple simulations provide a range of possible price outcomes, helping traders assess uncertainty.
Visual Clarity: Gradient-colored lines make it easy to distinguish bullish (teal) and bearish (red) forecasts.
Potential Use Cases
Trend Analysis: Identify potential price trends or reversals based on the direction and spread of forecast lines.
Risk Assessment: Evaluate the range of possible price outcomes to gauge market uncertainty.
Volatility Analysis: The Hurst exponent and binomial cascade provide insights into market persistence and volatility clustering.
Limitations
Computational Intensity: Large values of n or num_simulations may slow down execution or hit Pine Script’s array size limits.
Randomness: The binomial cascade and fBm rely on random terms (math.random), which may lead to variability between runs.
Assumptions: The model assumes log-normal price movements and fractal behavior, which may not always hold in extreme market conditions.
Adjusting Inputs:
Set max_lag based on the desired depth of historical analysis.
Adjust n for model resolution (start with 4–6 to avoid performance issues).
Tune m to control trading time variability (0.5–1.5 is typical).
Set L to scale the forecast amplitude (experiment with values like 10,000–1,000,000).
Choose T based on your trading horizon (20 for short-term, 50 for longer-term for example).
Select num_simulations for the number of forecast paths (5–10 is reasonable for visualization).
Interpret Output:
Teal lines suggest bullish scenarios, red lines suggest bearish scenarios.
A wide spread of lines indicates high uncertainty; convergence suggests a stronger trend.
Monitor Updates: Forecasts update every T bars, so check the chart periodically for new projections.
Chart Examples
This is a daily AMEX:SPY chart with default settings. We see the simulations being done every T bars and they provide a range for us to analyze with a few simulations still in the range.
On this intraday PEPPERSTONE:COCOA chart I modified the Length Scale for fBm, L, parameter to be 1000 from 100000. Adjusting the parameter as you switch between timeframes can give you more contextual simulations.
On BITSTAMP:ETHUSD I modified the L to be 1000000 to have a more contextual set of simulations with crypto's volatile nature.
With L at 100000 we see the range for NASDAQ:TLT is correctly simulated. The recent pop stays within the bounds of the highest simulation. Note this is a cherry picked example to show the power and potential of these simulations.
Technical Notes
Error Handling: The script includes checks for array size limits and division by zero (math.abs(denominator) > 1e-10, v := math.max(v, 1e-10)).
External Reference: The fBm implementation is based on Hosking’s method (www.columbia.edu), ensuring a robust algorithm.
Conclusion
The Multifractal Forecast is a powerful tool for traders seeking to model complex market dynamics using a multifractal framework. By combining fBm, binomial cascades, and Hurst exponent analysis, it generates probabilistic price forecasts that account for long-range dependence and non-uniform market activity. Its customizable inputs and clear visualizations make it suitable for both technical analysis and strategy development, though users should be mindful of its computational demands and parameter sensitivity. For optimal use, experiment with input settings and validate forecasts against other technical indicators or market conditions.
Trend Strength Oscillator📌 What Is the Trend Strength Oscillator?
The Trend Strength Oscillator is a visual tool that helps traders understand the overall direction and strength of the market trend. Instead of using multiple indicators separately, this tool combines three trusted methods into one clear, color-coded bar chart. The bars change based on whether the market is strongly trending up, down, or just moving sideways.
Imagine it as a traffic light for trading:
• Green means it’s safe to consider buying (strong uptrend).
• Red means consider selling or avoiding longs (strong downtrend).
• Gray means wait, the market isn’t clearly trending.
🧠 How It Works — The 3 Main Components
1. EMA Slope
The EMA (Exponential Moving Average) tracks the average price but reacts more quickly to changes. If the EMA is rising, it means the market is likely moving upward. If it’s falling, the trend is likely downward.
2. RSI Direction
RSI (Relative Strength Index) measures momentum. This tool compares the RSI to its smoothed average. If the RSI is above its average, momentum is up. If it’s below, momentum is down.
3. ADX Strength
ADX (Average Directional Index) measures how strong a trend is, not the direction. So even if EMA and RSI agree on a trend, the ADX must confirm it’s strong enough to be worth trading.
Only when all three indicators agree do we consider it a strong trend.
🧮 What the Oscillator Shows
The result of combining those components is a number that becomes a colored bar:
• +2 means all three signals are bullish → green bar.
• -2 means all three signals are bearish → red bar.
• Anything else (e.g., mixed signals or weak ADX) → gray bar.
This makes the chart super easy to read at a glance, even for beginners.
📈 How to Use It in Trading
You can use the Trend Strength Oscillator in a few simple ways:
• Entering Trades:
Look for a green bar when you want to buy or go long. Look for a red bar when you want to sell or go short. These bars mean all systems are “go” in the same direction.
• Avoiding Mistakes:
If the bar is gray, it’s a warning that the market is undecided or weak. It’s often better to wait for a clearer signal rather than force a trade.
• Managing Existing Trades:
If you’re in a trade and the bar color shifts back to gray, that can be a clue that the trend is losing strength. You might tighten your stop-loss or take some profit.
🧭 Final Thoughts
This indicator doesn’t give you a trade entry every few minutes. Instead, it helps you stay on the right side of strong moves and avoid choppy or sideways markets. It’s especially helpful for:
• Trend-following traders
• People who want clean, simple visuals
• Beginners who get overwhelmed with too many indicators
Let me know if you'd like to see this paired with another tool like volume or MACD, or if you’d like a chart screenshot to visualize how this looks live.
bands ⚡ What This Script Does
This is a structured trading system specifically designed for navigating Bitcoin cycles and identifying higher-probability buy setups.
It is not a simple combination of public indicators instead, it applies a rules-based logic to adapt signals dynamically depending on the current market phase (bull/bear), while also using a triple confirmation framework (macro trend + volatility bands + buy signals).
This approach aims to reduce false signals and align trading decisions with Bitcoin’s well-known cyclical behavior.
⚡ Core Concept & Components
The system combines three complementary elements:
A macro trend filter band (red/green), shown at the bottom of the chart, representing Bitcoin’s macro trend environment.
Adaptive volatility bands using advanced smoothing techniques including HMA, KAMA, WVMA, combined with moving average (MA) and average true range (ATR) logic to capture dynamic “cheap” and “expensive” price zones. These bands adapt to Bitcoin’s volatility structure better than standard Bollinger Bands or SMA plus ATR setups.
Multi-timeframe RSI-based Buy Signals on 8h, 1D, 1W, and 1M timeframes historically calibrated for Bitcoin cycles.
These components work together through a rules-based process, dynamically adapting signal validity depending on the macro trend state.
⚡ Signal System and how to use
The red and green band at the bottom of the chart represents Bitcoin’s macro trend environment:
Light Green → Likely start of a bull market
Dark Green → Market is bullish but becoming extended; potentially nearing a local top
Red → Bear market conditions
Our trading approach uses four distinct BUY signals, depending on the market phase:
Red (8h) → weak buy signal
Yellow (1D) → medium buy signal
Green (1W) → strong buy signal
Blue (1M) → strongest buy signal
However, Day Trading and Swing Trading signals are automatically blocked during bear markets (Red Band).
Reason: low timeframe signals (1 minute to 1 day) tend to perform poorly in bear markets, as major bottoms typically form on higher timeframes (1 week or 1 month).
Therefore, during Red Band conditions, only Buy Bear Market and Buy Recession signals remain active.
to use it correctly you must go to configuration of the indicator, section input and enable 4 buy signals and check every day timefarme 8h 1d 1w and 1m.
⚡ Invalidation Conditions
To exit the bear market, the system includes an invalidation condition:
If the price closes above a specific SMA on a defined timeframe, the Red Band switches to Green → signaling a potential market recovery.
Additionally, for the Red Band to activate initially, the system requires that:
Price must break below a specific Hull Moving Average (HMA) on a defined timeframe and length.
⚡ Why These 3 Indicators Work Well Together
If the band is green (bull market conditions) and a Buy signal (any color) appears → it is generally safer to buy in a bull market than in a bear market.
(I’m trying to apply the famous phrase "the trend is your friend" in this trading indicator and trading strategy.)
If the price is also touching the lower green band, and a Buy signal appears → the buy becomes even more reliable, as you are combining big trend plus band support plus signal confirmation.
This gives you triple confirmation:
Band color plus band level touch plus Buy signal → increasing the probability that the trade is going to work.
By combining:
Blocking low timeframe signals during bear markets
Using a clear invalidation point to detect recovery
Requiring a structural break via HMA to enter a bear market phase, and requiring a break above a specific SMA (length and timeframe) to enter a bull market
Applying a triple confirmation logic when conditions are favorable
→ this framework helps you navigate Bitcoin markets more securely and profitably than using unfiltered signals alone.
⚡ Why It’s Not a Simple Mashup
The logic of the system is not just an overlay of RSI, moving averages and bands:
It applies a structured "state machine" logic:
Macro Band determines which signals are allowed.
Band-level touches condition the strength of signals.
Triple confirmation (macro trend plus band level plus signal) governs high-probability setups.
Invalidation points (SMA breakouts) dynamically switch macro state, ensuring no lagging bull signals in a bear market or vice versa.
This makes the system superior to using public domain components in isolation, as those do not provide dynamic signal filtering nor respect Bitcoin’s macro cyclicality explicitly.
⚡ Why This is Invite-Only
This script reflects deep backtesting and original integration of state logic specific to Bitcoin cycles, I also tried to choose the the correct conditions and invalidation points by using hma and smas in specific timeframes and lengths,
it has a system that also block many wrong buy signals during bearmarkets.
It encapsulates a rules-based trading process which goes beyond simply combining public indicators. The aim is to provide traders with a coherent framework that reduces false signals, adapts to bitcoin cycles, and promotes risk-aware participation in Bitcoin markets.
I also refined the line aesthetics and thicknesses to improve chart readability and help users quickly identify key levels.
⚡ Disclaimer
This is an analytical tool, not financial advice. Use with appropriate risk management and as part of a broader trading strategy.
Past positive results this indicator achieved do NOT guarantee future success !!
Per TradingView rules:
The logic is described sufficiently so that traders understand what it does and how it works.
This is not a simple mashup, but an original framework applying structured logic to Bitcoin macro trading.
This is a COMPLEMENTARY tool designed for use by my existing clients who are already familiar with my trading strategy and risk management approach. If you are not one of my clients or do not know my trading strategy, please do NOT request access or attempt to purchase it !!
⚡ Conformance
This description is written to comply with TradingView’s script publishing rules (tradingview.com/pine-script-docs/en/v5/writing/Publishing.html), as per recent moderator feedback.
If further clarification is required, I welcome additional feedback.
ELFIEDT RSI + Reversion📘 Script Title:
ELFIEDT RSI + Reversion
📄 Description:
This script identifies potential mean reversion opportunities by combining price volatility, momentum, and volume confirmation. It is designed to help traders detect moments where price may be temporarily overextended, increasing the likelihood of a short-term reversal or pullback.
The approach integrates three core components:
🔹 1. Volatility Envelope
The strategy uses a dynamic banding system based on a statistical measure of price deviation from its recent average. When price closes significantly outside this envelope, it signals a potential extreme movement, suggesting conditions are ripe for a reversion to the mean.
🔹 2. Momentum Confirmation via RSI
To enhance reliability, momentum is evaluated using the Relative Strength Index (RSI). Only when RSI confirms that price action is either overbought or oversold does the script consider a reversal more probable.
🔹 3. Volume Spike Filter
The script incorporates a volume confirmation layer to avoid false signals. A signal only triggers if there is an unusually high level of trading activity, helping to identify areas of market interest and possible exhaustion.
🔔 Signal Triggers & Alerts:
Upside Reversion Zone:
When price moves significantly below the volatility band, RSI shows oversold conditions, and volume confirms abnormal activity. The chart highlights this with a green label and a green-colored bar.
Downside Reversion Zone:
When price moves significantly above the volatility band, RSI shows overbought conditions, and volume confirms a spike. This is marked by a red label and a red-colored bar.
Built-in Alerts:
The script includes alert conditions that notify you when either scenario occurs. These can be used for real-time monitoring or automation.
📊 Visual Features:
Colored bars and labels show potential reversion areas.
The chart plots a trend-following baseline with dynamic upper and lower bands to visualize volatility extremes.
Up and Down zones are clearly marked for easier decision-making.
⚠️ Disclaimer:
This script is intended for educational and informational purposes only. It does not constitute financial advice, trading signals, or guarantees of future results. Users should perform their own due diligence before making trading decisions.
Absolute High and Low {Darkoexe}This indicator identifies and visually highlights the absolute highest and lowest closing prices on a chart. It is designed to help traders quickly recognize major price extremes that can serve as significant support/resistance levels or turning points in historical price action.
🔧 What It Does
The script plots persistent horizontal lines on your chart to mark either:
The absolute highest and lowest closing prices of the entire visible chart, or
The highest and lowest closing prices within a custom range of candles, defined by the user.
These price levels are plotted using thick green and red lines, respectively, and are updated dynamically as new highs or lows are set.
⚙️ How It Works
When “Use all candles” is enabled, the script continuously updates the high and low lines based on the full price history of the chart. These lines remain until a new extreme is made.
When disabled, the script checks only the most recent N candles (max bars back input). It scans this window to find and plot the highest and lowest closes.
The lines extend to the right to help users visually anchor these key levels in future price action.
🎯 Use Cases
Spotting extreme price levels for potential mean-reversion strategies.
Confirming breakout or breakdown conditions.
Defining long-term support and resistance zones.
This tool is especially useful for discretionary traders who value historical context and want clear visual markers for past price extremes.
⚠️ Notes and Limitations
This script is not predictive. It simply marks historical price extremes based on closing values.
When using the fixed range mode (max bars back), be aware that values outside this range will not be considered.
The indicator does not repaint, but in full chart mode, it updates only when a new extreme is formed.
Multi-Timeline 1.0Multi-TimeLines 1.0 - Comprehensive Description
WHAT IT DOES:
This indicator creates dynamic horizontal support/resistance lines based on opening prices captured at user-defined New York times. Unlike static horizontal lines, these levels automatically appear and disappear based on sophisticated session logic, providing traders with time-sensitive reference levels that adapt to market sessions.
HOW IT WORKS - TECHNICAL IMPLEMENTATION:
1.
Timezone Conversion Engine:
The script uses Pine Script's "America/New_York" timezone functions to ensure all time calculations are based on NY time, regardless of the user's chart timezone. This eliminates confusion and provides consistent behavior across global markets.
2.
Dual-Category Time Classification System:
The indicator employs a unique two-category classification system:
Category A (16:00-23:59 NY): Evening times that extend overnight until next day 15:59 NY
Category B (00:00-15:59 NY): Day times that extend until same day 15:59 NY
This classification handles the complex logic of overnight sessions and prevents lines from incorrectly resetting at midnight for evening times.
3. Price Capture Mechanism:
Uses precise time-hit detection with backup systems for edge cases (especially midnight 00:00). When a specified time occurs, the script captures the bar's opening price and stores it in persistent variables using Pine Script's var declarations.
4. Session-Aware Display Logic:
Lines only appear during their designated "display windows" - periods when the captured price level is relevant. The script uses conditional plotting with plot.style_linebr to create clean breaks when lines are inactive.
5. Smart Reset System:
Different reset behaviors based on time classification:
Category A times persist across midnight (for overnight analysis)
Category B times reset on day changes (except 00:00 which captures AT day change)
Automatic cleanup when display windows close
ORIGINALITY & UNIQUE FEATURES:
1. Overnight Session Handling:
Unlike basic horizontal line tools, this script properly handles overnight spans for evening times, making it invaluable for analyzing gaps and overnight price action.
2. Automatic Session Management:
No manual line drawing required - the script automatically manages when lines appear/disappear based on NY market sessions (15:59 close, 18:00 after-hours start).
3. Time-Window Display Logic:
Lines only show during relevant periods, reducing chart clutter and focusing attention on currently active levels.
TRADING CONCEPTS & APPLICATIONS:
1. Session-Based Analysis:
Capture opening prices at key session times:
00:00 NY: Sydney/Asian session start
03:00 NY: London pre-market
08:00 NY: London session open
09:30 NY: NYSE opening bell
18:00 NY: After-hours start
2. Gap Analysis:
Evening times (20:00-23:59) that extend overnight are particularly useful for:
Identifying potential gap-fill levels
Tracking overnight high/low breaks
Setting reference points for next-day trading
3. Support/Resistance Framework:
Opening prices at significant times often act as:
Intraday support/resistance levels
Reference points for breakout/breakdown analysis
Pivot levels for mean reversion strategies
HOW TO USE:
1. Time Input:
Enter times in "HH:MM" format using 24-hour NY time:
"09:30" for NYSE open
"15:30" for late-day reference
"20:00" for evening level (extends overnight)
2. Line Behavior:
Blue/Green/Cyan/Red lines: Your custom times
Yellow line: After-hours day open (18:00 NY start)
Lines appear with breaks during inactive periods
3. Strategic Setup:
Use 2-3 key session times for your trading style
Combine morning times (immediate reference) with evening times (overnight analysis)
Toggle after-hours line based on your market focus
CALCULATION METHOD:
The script uses direct opening price capture (no smoothing or averaging) at precise time hits, ensuring the most accurate representation of actual market levels at specified times. This raw price approach maintains the integrity of actual market opening prices rather than manipulated or calculated values.
This method is particularly effective because opening prices at significant times often represent institutional order flow and can act as magnetic levels throughout subsequent sessions.
1st FVGOverview
This indicator is specifically designed for intraday price action traders who focus on the NASDAQ opening range. Its primary function is to automatically identify, plot, and alert on the very first Fair Value Gap (FVG) that forms during the critical 30-minute window of the New York morning session, from 9:30 AM to 10:00 AM ET.
The script intelligently ignores any gaps that rely on pre-market data, ensuring that the detected FVG is a true imbalance created by the initial volume and volatility of the regular trading session. This tool helps traders to quickly pinpoint a key area of interest right after the market opens.
Key Features
First FVG Detection: Pinpoints only the initial FVG of the session and ignores all subsequent ones for the day.
Specific Time Window: Operates strictly between 9:30 and 10:00 AM New York time.
Strict Formation Rule: To ensure accuracy, the entire 3-bar FVG pattern must form at or after the 9:30 AM candle. This prevents false signals from pre-market price action.
Visual Price Zones: Automatically draws a clean, colored box around the FVG, making the zone easy to see. The box can be extended to track future price interactions.
Customizable Display: Control how many historical FVGs to show on your chart and how far the zone extends to the right.
Built-in Alerts: Get real-time notifications the moment the first FVG is confirmed, so you never miss a potential setup.
How It Works
The indicator scans the price action candle by candle. Once the 9:30 AM ET session begins, it looks for the first valid 3-bar FVG pattern (also known as a price imbalance).
A Bullish FVG is identified when the low of the current candle is higher than the high of the candle two periods ago.
A Bearish FVG is identified when the high of the current candle is lower than the low of the candle two periods ago.
Once the first FVG for the day is detected and plotted, the script will remain dormant until the next trading day begins, keeping your chart clean and focused.
Settings
Number of FVG History: Controls how many of the most recent daily FVGs are displayed on the chart.
Extend Box To End: A checkbox to extend the FVG zone all the way to the right edge of the chart. This is useful for tracking how price interacts with the zone later in the day.
Manual Box Length: If the "Extend Box" option is unchecked, this input sets a fixed length for the box (in number of bars).
How to Set Up Alerts
Add the indicator to your chart.
Click the 'Alert' icon (alarm clock) in the TradingView toolbar.
In the 'Condition' dropdown menu, select "1st FVG".
A second dropdown will appear, which should be set to "Alert Function Call".
Choose your preferred notification options (e.g., pop-up, email, app notification).
Click 'Create'.
Disclaimer: This indicator is a tool for technical analysis and should not be considered as financial advice. Always use proper risk management and conduct your own research before making any trading decisions.
Mech Model - monkertrades x {DeadCatCode}Mech Model - Multi-Timeframe ICT Liquidity & iFVG Trading System
Detailed Methodology & Underlying Concepts
This indicator automates the Inner Circle Trader (ICT) methodology by identifying institutional order flow through liquidity sweeps and inverse Fair Value Gap (iFVG) formations across multiple timeframes.
Core Logic & Calculations
1. Liquidity Level Identification The script tracks four key liquidity pools:
NY session dynamic LQ detection everytime it sweeps high/low Calculates high/low from 18:00-09:30 EST
Session Extremes: Monitors Asia (20:00-23:00), London (02:00-05:00) session highs/lows
Previous Day Levels: Requests PDH/PDL using request.security() with daily timeframe
Dynamic Updates: Liquidity levels update in real-time when swept during NY session
2. Market Structure Analysis
Uses pivot points logic to understand HH.HL parameters
Classifies pivots as Higher Highs (HH), Higher Lows (HL), Lower Highs (LH), Lower Lows (LL)
Stores last 50 pivots for reference in custom PivotPoint type arrays, background calculations to identfy price legs after sweep
3. Fair Value Gap Detection
Bullish FVG: When low > high (gap between candles)
Bearish FVG: When high < low
Stores FVG data including top, bottom, direction, and bar index
Tracks "wicking" - when price touches but doesn't close through FVG
4. Price Leg Formation (Key Innovation) When liquidity is swept:
Bull Leg: Forms after low sweep, connects previous swing high to sweep point
Bear Leg: Forms after high sweep, connects previous swing low to sweep point
Leg remains "active" and extends with continued liquidity breaks
5. iFVG Signal Generation The signal fires when:
An active price leg exists (post-liquidity sweep)
An FVG within the leg range gets "closed through" (not just wicked)
This creates an inverse FVG (iFVG) - the key entry signal
Signal direction matches leg type (bull leg + bull iFVG = buy signal)
6. Multi-Timeframe Synchronization
Uses request.security() to run detection logic on 1m, 2m, 3m, 4m, 5m
All signals display on 1-minute chart via status table
How Traders Use This
Setup Phase: Script identifies when price sweeps overnight/session liquidity
Confirmation: Waits for FVG within the "price leg" to be violated
Entry Signal: iFVG formation provides precise entry point
Target: Typically the next unmitigated FVG on 5-minute timeframe
Key Parameters Users Can Adjust
Session times for different market hours
Visual elements (colors, transparency, line styles)
Timeframe selection (enable/disable 1m-5m)
Wick grace period (0-100 bars)
Signal display mode (triangles vs horizontal lines)
This script essentially automates the manual process ICT traders use to identify institutional footprints through liquidity raids and subsequent rebalancing via FVG mitigation.
Absolute Range 1/2 - Histogram Style - Alternating 7 BarsAbsolute Range 1/2 - Histogram Style with Alternating 7-Bar Colors
This indicator calculates the 9-period simple moving average of the daily range (high minus low) and plots half of this value as a histogram and a line for easy visual tracking of range volatility.
To enhance readability, the histogram bars alternate colors every 7 bars — grouping the bars in blocks of seven with distinct colors. This makes it easier to observe range patterns and changes over time.
Features:
Smooths range data using SMA(9)
Plots half the average range as histogram bars and a line overlay
Alternates histogram bar colors every 7 bars dynamically
Clean, minimalistic design suitable for identifying volatility trends
Target ScannerThis invite-only indicator implements an advanced Wolfe Wave pattern recognition system specifically designed for Borsa Istanbul (BIST) stock screening across multiple timeframes and mathematical ratio calculations.
**Core Technical Framework:**
The indicator employs sophisticated mathematical calculations across 10 distinct timeframes (377, 233, 144, 89, 55, 34, 21, 13, 8, 5 periods) using Elliott Wave ratio theory combined with algorithmic pattern detection. Unlike standard scanning tools that rely on basic technical indicators, this system uses quantitative Wolfe Wave analysis to identify precise entry and exit points across 560+ BIST stocks simultaneously.
**Key Features:**
• **Multi-Stock Scanning:** Simultaneously analyzes 40 stocks per list across 14 different BIST stock lists (560+ total stocks)
• **Advanced Pattern Detection:** Implements Wolfe Wave mathematical validation using 24 different ratio calculation methods including Fibonacci sequences, Elliott Wave ratios, Golden Ratio, Harmonic Patterns, Pi-based calculations, volatility-based dynamic ratios, and AI-optimized mathematical progressions
• **Real-Time Screening Table:** Displays active signals with current price, signal price, target price, expected profit percentage, and calculated stop-loss levels
• **Reliability Scoring System:** EPA (Entry Point Accuracy) and ETA (Exit Target Accuracy) scoring with historical performance tracking
• **Visual Signal Display:** Comprehensive signal boxes showing profit zones, stop-loss areas, entry levels, and estimated time to target completion
**Mathematical Implementation:**
The core algorithm calculates price relationships using configurable mathematical ratios. For bullish conditions, it identifies entry points when price action meets specific criteria:
- Point validation through ratio analysis between swing highs/lows across multiple timeframes
- Mathematical confirmation using (pv - pf) / (pv - pd) ratio calculations
- Confluence validation across timeframes with dynamic ratio adjustments
- Minimum profit threshold filtering to ensure signal quality
**Originality and Innovation:**
This implementation differs significantly from traditional scanning tools through several key innovations:
1. **Multi-Timeframe Wolfe Wave Detection:** Simultaneous pattern recognition across 10 timeframes rather than single-timeframe analysis
2. **Adaptive Ratio Systems:** 24 different mathematical calculation methods including volatility-based, time-based, momentum-based, and volume-weighted ratio adjustments
3. **BIST-Specific Optimization:** Tailored specifically for Turkish stock market characteristics with 14 pre-configured stock lists
4. **Institutional-Grade Visualization:** Advanced signal boxes with profit/loss zones, multiple entry levels, and time-based target estimation
5. **Real-Time Performance Tracking:** Dynamic EPA/ETA scoring system that tracks historical accuracy and adapts calculations
**Signal Generation Logic:**
The system generates signals when multiple mathematical conditions align:
- Wolfe Wave pattern completion across specified timeframes
- Ratio validation using selected mathematical progression (Fibonacci, Golden Ratio, Elliott Wave, etc.)
- Stop-loss calculation as percentage of target profit (default 0.5%)
- Minimum profit threshold compliance
- Multi-timeframe confluence confirmation
**Risk Management Features:**
• **Configurable Stop-Loss:** Calculated as percentage of target profit with recommended 0.3 setting for 1:3 risk-reward ratio
• **Profit Percentage Display:** Real-time calculation showing expected profit from signal price to target
• **Multiple Entry Levels:** EPA and ETA-based entry points with reliability scoring
• **Time Estimation:** Statistical analysis providing estimated bars/time to target completion
• **Visual Risk Zones:** Color-coded profit (green) and loss (red) areas for clear risk visualization
**Performance Characteristics:**
The indicator is optimized for active screening with frequent signal generation across multiple stocks. It provides both short-term and medium-term opportunities depending on the timeframe producing the signal. The system maintains historical statistics for signal accuracy and target completion timing.
**Technical Requirements:**
Requires understanding of Wolfe Wave pattern theory, Elliott Wave principles, and multi-timeframe analysis concepts. Users should be familiar with BIST market structure and Turkish stock trading mechanics. The indicator demands active monitoring due to the high-frequency nature of multi-stock scanning.
**Market Application:**
Specifically designed for Borsa Istanbul stocks with comprehensive coverage across major sectors. Works effectively in both trending and ranging market conditions due to its adaptive ratio selection and multi-timeframe approach. Best suited for traders focusing on Turkish equity markets with pattern-based strategies.
**Customization Options:**
• **14 Stock Lists:** Pre-configured BIST stock groups for sector-specific analysis
• **24 Ratio Methods:** From conservative Fibonacci to aggressive AI-optimized calculations
• **Quote Pair Integration:** Optional currency pair specification for international analysis
• **Timeframe Flexibility:** Customizable chart timeframe for signal generation
• **Table Positioning:** Multiple display options with size and color customization
• **Alert Integration:** Comprehensive alert system for real-time signal notifications
Mark Friday the 13thMarks all Friday the 13th days on the chart.
Could be used to see if Friday the 13th has any impact on the market.
