Relative Crypto Dominance Polar Chart [LuxAlgo]The Relative Crypto Dominance Polar Chart tool allows traders to compare the relative dominance of up to ten different tickers in the form of a polar area chart, we define relative dominance as a combination between traded dollar volume and volatility, making it very easy to compare them at a glance.
🔶 USAGE
The use is quite simple, traders just have to load the indicator on the chart, and the graph showing the relative dominance will appear.
The 10 tickers loaded by default are the major cryptocurrencies by market cap, but traders can select any ticker in the settings panel.
Each area represents dominance as volatility (radius) by dollar volume (arc length); a larger area means greater dominance on that ticker.
🔹 Choosing Period
The tool supports up to five different periods
Hourly
Daily
Weekly
Monthly
Yearly
By default, the tool period is set on auto mode, which means that the tool will choose the period depending on the chart timeframe
timeframes up to 2m: Hourly
timeframes up to 15m: Daily
timeframes up to 1H: Weekly
timeframes up to 4H: Monthly
larger timeframes: Yearly
🔹 Sorting & Sizing
Traders can sort the graph areas by volatility (radius of each area) in ascending or descending order; by default, the tickers are sorted as they are in the settings panel.
The tool also allows you to adjust the width of the chart on a percentage basis, i.e., at 100% size, all the available width is used; if the graph is too wide, just decrease the graph size parameter in the settings panel.
🔹 Set your own style
The tool allows great customization from the settings panel, traders can enable/disable most of the components, and add a very nice touch with curved lines enabled for displaying the areas with a petal-like effect.
🔶 SETTINGS
Period: Select up to 5 different time periods from Hourly, Daily, Weekly, Monthly and Yearly. Enable/disable Auto mode.
Tickers: Enable/disable and select tickers and colors
🔹 Style
Graph Order: Select sort order
Graph Size: Select percentage of width used
Labels Size: Select size for ticker labels
Show Percent: Show dominance in % under each ticker
Curved Lines: Enable/disable petal-like effect for each area
Show Title: Enable/disable graph title
Show Mean: Enable/disable volatility average and select color
Индикаторы и стратегии
[blackcat] L3 Breakout IndicatorOVERVIEW
This script provides a breakout detection system ( L3 Breakout Indicator) analyzing price momentum across timeframes. It identifies market entry/exit zones through dynamically scaled thresholds and visual feedback layers.
FEATURES
Dual momentum visualization: • Price Momentum Ratio Plot ( yellow ) • Filtered Signal Value Plot ( fuchsia )
Adjustable trade boundaries: ▪ Lower Threshold (default: 0.5) ▪ Upper Threshold (default: 2.9) ▪ Central boundary ( fixed at 2.0 )
Real-time visual feedback: ☀ Buy zone highlights ( lime ) on momentum crossover ⚠ Sell zone highlights ( red ) on momentum cross-under ♦ Dynamic convergence area between plots ( colored gradient )
HOW TO USE
Interpretation Flow
Monitor momentum plots relative to threshold lines
Actionable signals occur when momentum crosses thresholds
Persistent movement above/below central boundary indicates trend continuation
Key Zones
• Below 0.5: Potential buying opportunity zone
• Above 2.0: Cautionary selling region
• Between 0.5-2.0: Neutral consolidation phase
Optimization Tips
Adjust thresholds based on asset volatility
Combine with volume metrics for confirmation
Backtest parameters using historical data
LIMITATIONS
• Lag induced by 4-period EMA smoothing
• Historical dependency in calculating extremes (lowest(100)/highest(250))
• No built-in risk management protocols (stop loss take profit)
• Performance variability during sideways markets
Elena Buy/Sell 3/5minBuy and Sell scalping Signals. Use lower Timeframes for this Strategy for better Results.
DONT USE THE SIGNALS WHEN PRICE IS RANGING - ONLY ON CLEAR TRENDS.
SuperTrend AI with RSI, EMA & Dynamic S/RSupport, resistance, entry and exit signals, and combining the average with the relative strength
Fundamental Fair Value RangeFundamental Fair Value Range
This indicator calculates and visualizes a company's intrinsic fair value based on several fundamental valuation metrics, including Price-to-Earnings (P/E), Price-to-Book (P/B), Price-to-Sales (P/S), Price-to-Free Cash Flow (P/FCF), Price-to-Tangible Book Value (P/TBV), Enterprise Value-to-EBITDA (EV/EBITDA), and Price-to-Cash Flow (P/CF). It dynamically computes median historical ratios to establish a robust fair value range, enhanced by forward-looking estimates and adjusted for financial risk and dividend yield.
Features :
Dynamic Valuation Metrics : Combines historical and forward-looking financial data to calculate realistic fair value estimates.
Flexible Weighting System : Assign customized weights to valuation metrics depending on profitability conditions (positive or negative EPS).
Risk & Dividend Adjustments : Includes risk assessment via Debt-to-Equity and Altman Z-Score, and adjusts valuations for dividends up to a specified cap.
Confidence Range Visualization : Displays fair value with clearly marked upper and lower confidence bounds to simplify interpretation.
Customizable Display : Table position, text size, and theme (dark or light mode) can be adjusted for optimal readability and integration into your chart layout.
Strengths:
Incorporates multiple robust valuation metrics for a comprehensive analysis.
Adapts dynamically to changing financial conditions.
Provides clear actionable signals for investors.
Weaknesses:
Relies heavily on historical data, which may not fully capture future market disruptions.
Sensitivity to user-defined parameters may impact reliability; careful selection is required.
To use this indicator, simply apply it to your chart and customize parameters according to your analysis preferences. Monitor signals closely to identify stocks trading below or above intrinsic value, guiding investment decisions with greater confidence.
This indicator is freely available and open-source on TradingView for everyone to use. Enjoy!
[blackcat] L3 Volatility Ehlers Stochastic CGOOVERVIEW
This advanced indicator integrates the Center of Gravity Oscillator (CGO) with an Ehlers-Stochastic framework and an Adaptive Local Minimum-Maximum Average (ALMA) smoothing algorithm. Designed for non-overlaid charts, it identifies market momentum shifts by analyzing price action through multi-layer volatility analysis.
FEATURES
• Dual-line system:
✓ Stochastic CGO: Core oscillating line derived from weighted OHLC price calculations
✓ ALMA Lagging Line: Smoothing component using customizable offset/sigma parameters
• Dynamic color scheme:
✓ Green/red trend differentiation via crossover comparison
✓ Optional fill areas between lines (toggleable)
• Clear trade signals:
✓ Buy/Sell labels triggered by mathematically defined crossovers
✓ Zero-reference baseline marker (#0ebb23)
• Customizable parameters:
Fast Length (9 default) controls CGO sensitivity
Slow Length (5 default) governs ALMA responsiveness
ALMA Offset/Sigma allow adaptive curve optimization
HOW TO USE
Configure core parameters:
• Adjust Fast Length (CGO timeframe window)
• Set Slow Length, ALMA Offset, and Sigma for smoother/laggier response
Interpret visuals:
• Bullish trend = green shaded zone (when primary line above lagging line)
• Bearish trend = red shaded zone (primary line below lagging line)
Analyze signals:
• Buy triggers occur when rising CGO crosses above ALMA while below zero
• Sell triggers activate when falling CGO breaks below ALMA after exceeding zero base
Optimize display:
✓ Enable/disable fill area via Fill Between Lines
LIMITATIONS
• Relies heavily on lookback periods - rapid market changes may reduce predictive accuracy
• Signal frequency increases during high-volatility environments
• Requires additional confirmation methods due to occasional premature crossovers
• Default parameter settings may lack universality across asset classes
NOTES
• Best paired with volume-based confirmations for stronger signals
• Reducing ALMA Sigma sharpens line responsiveness at cost of noise susceptibility
• Increasing Fast Length extends calculation horizon while reducing peak sensitivity
• Weighted OHLC source formula prioritizes closing prices for swing direction assessment
Relative Strength Indicator## ✨RS✨ by Mars: Advanced Relative Strength Indicator
This indicator solves the primary weakness of traditional RS tools: excessive choppiness and false signals. By combining three calculation methods (ratio, performance, or logarithmic comparison) with dynamic filtering techniques, it identifies true trend changes and stock leadership with significantly higher reliability.
### Key Features:
- Multi-timeframe strength analysis (default 10, 21, 63, and 200-period measurements)
- Dynamic signal line with customizable crossing alerts
- Clear visualization with color-coded fills and special crossover signals
- Reversal detection system using momentum and line convergence
- RSI-like scaling (0-100) for easier interpretation with special crossings on overbought and oversold zones.
### Trading Applications:
- Filter out market noise to identify genuine sector/asset leadership shifts
- Eliminate false signals through the convergence of multiple confirmation factors (momentum, proximity, signal crossovers)
- Detect high-probability reversals only when multiple conditions align, reducing premature entries
- Use special signals (bright triangles) for high-confidence entry/exit points when crossovers occur in extreme zones
- Monitor trend reliability through multi-timeframe RS strength percentages
Unlike conventional RS indicators that produce frequent whipsaws, this tool waits for confluent signals across multiple factors. The combination of smoothed RS readings, signal line convergence, and multi-timeframe analysis creates a comprehensive system for identifying market leadership with dramatically reduced false signals. Perfect for rotation strategies and sector allocation decisions where reliability matters more than frequency.
Video:
EMA Stacking Indicator with VWAP, MACD and ConfirmationEMA Stacking Indicator with VWAP & MACD Confirmation
This indicator combines EMA stacking, VWAP positioning, and MACD crossovers to help identify potential trend continuation and reversal points.
Features:
✅ EMA Stacking Strategy – Uses 10, 20, and 50 EMA to detect bullish and bearish trends.
✅ VWAP Confirmation – Ensures price is above VWAP for bullish signals and below for bearish signals.
✅ MACD Crossovers – Highlights bullish and bearish MACD crossovers with arrows for extra confirmation.
✅ Custom Colors & Signals – Clearly plotted moving averages and buy/sell markers to improve chart visibility.
How It Works:
A bullish trend is detected when the 10 EMA > 20 EMA > 50 EMA, and price is above VWAP.
A bearish trend is detected when the 10 EMA < 20 EMA < 50 EMA, and price is below VWAP.
MACD Bullish Crossovers (green arrows) indicate potential uptrend momentum.
MACD Bearish Crossovers (red arrows) suggest possible downtrend shifts.
This tool is perfect for traders looking to combine moving averages with volume-weighted confirmation and MACD momentum shifts for stronger trade setups.
🔹 Let me know your thoughts and feedback! 🚀
SENEE Buy Sell Signal Easy to use:
Buy signal has appeared >>> open long position
Sell signal has appeared >>> open short position
Green ext signal has appeared >>> close long position
Red ext signal has appeared >>> close short position
The colour is an analysis of the trend:
Green bars >>> Up trend
Red bars >>> Down trend
White bars >>> side way
Blue bars >>> Overbought
Orange bars >>> Oversold
How to be setting:
Candles period is Calculation range >>> up to you
Overbought oversold sensitivity is Sensitivity of calculation of
Overbought and Oversold zone
Signal sensitivity is Sensitivity of calculation of Buy,Sell and ext signals
///// Good luck /////
Volume Pro Indicator## Volume Pro Indicator
A powerful volume indicator that visualizes volume distribution across different price levels. This tool helps you easily identify where trading activity concentrates within the price range.
### Key Features:
- **Volume visualization by price levels**: Green (lower zone), Magenta (middle zone), Cyan (upper zone)
- **VPOC (Volume Point of Control)**: Shows the price level with the highest volume concentration
- **High and Low lines**: Highlights the extreme levels of the analyzed price range
- **Customizable historical analysis**: Configurable number of days for calculation
### How to use it:
- Colored volumes show where trading activity concentrates within the price range
- The VPOC helps identify the most significant price levels
- Different colors allow you to quickly visualize volume distribution in different price areas
Customizable with numerous options, including analysis period, calculation resolution, colors, and visibility of different components.
### Note:
This indicator works best on higher timeframes (1H, 4H, 1D) and liquid markets. It's a visual analysis tool that enhances your understanding of market structure.
#volume #vpoc #distribution #volumeprofile #trading #analysis #indicator #professional #pricelevels #volumedistribution
Volume Order Blocks [Vit]The script shows the Order Blocks of a major player.
The settings are the most optimal, but you can change the Tuning value to a smaller one and the Order Blocks will be larger, but their strength will be less
Скрипт показывает Order Blocks крупного игрока.
Настройки стоят самые оптимальные, но можно менять значение Tuning на меньшее и Order Blocks будет больше, но их сила будет меньше
[COG]Adaptive Volatility Bands# Adaptive Volatility Bands (AVB) Indicator Guide for Traders
## Special Acknowledgment 🙌
This script is inspired by and builds upon the foundational work of **DonovanWall**, a respected contributor to the trading community. His innovative approach to adaptive indicators has been instrumental in developing this advanced trading tool.
## What is the Adaptive Volatility Bands Indicator?
The Adaptive Volatility Bands (AVB) is a sophisticated technical analysis tool designed to help traders understand market dynamics by creating dynamic, responsive price channels that adapt to changing market conditions. Unlike traditional static indicators, this script uses advanced mathematical techniques to create flexible bands that adjust to market volatility in real-time.
## Key Features and Inputs
### 1. Price and Filtering Options
- **Price Source**: Determines the base price used for calculations (default is HLC3 - Average of High, Low, and Close)
- **Filter Poles**: Controls the smoothness of the indicator (1-9 poles)
- Lower values: More responsive, more noise
- Higher values: Smoother, but slower to react
### 2. Volatility and Band Settings
- **Sample Length**: Determines how many bars are used to calculate volatility (default 144)
- **Volatility Multiplier**: Adjusts the width of the main bands (default 1.414)
- **Outer Band Multiplier**: Controls the width of the outer bands (default 2.5)
- **Inner Band Ratio**: Positions the inner bands between the center and outer bands (default 0.25)
### 3. Advanced Processing Options
- **Lag Reduction Mode**: Helps reduce indicator delay
- **Fast Response Mode**: Makes the indicator more responsive to recent price changes
### 4. Signal and Visualization Options
- **Show Entry Signals**: Displays buy and sell signals
- **Signal Display Style**: Choose between labels or shapes
- **Range Filter**: Adds an additional filter for signal validation
## How the Indicator Works
The Adaptive Volatility Bands create a dynamic price channel with three key components:
1. **Center Line**: Represents the core trend direction
2. **Inner Bands**: Closer to the center line
3. **Outer Bands**: Wider bands that show broader price potential
### Color Dynamics
- The indicator uses a smart color gradient system
- Colors change based on price position within the bands
- Helps visualize bullish (green/blue) and bearish (red) market conditions
## Trading Strategies for Beginners
### Basic Entry Signals
- **Buy Signal**:
- Price touches the center line from below
- Candle is bullish (closes higher than it opens)
- Price is above the center line
- Trend is upward
- **Sell Signal**:
- Price touches the center line from above
- Candle is bearish (closes lower than it opens)
- Price is below the center line
- Trend is downward
### Risk Management Tips
1. Use the bands to identify:
- Potential trend changes
- Volatility levels
- Support and resistance areas
2. Combine with other indicators for confirmation
3. Always use stop-loss orders
4. Adjust parameters to match your trading style and asset
## When to Use This Indicator
Best suited for:
- Trending markets
- Swing trading
- Identifying potential entry and exit points
- Understanding market volatility
### Recommended Markets
- Stocks
- Forex
- Cryptocurrencies
- Futures
## Customization
The script offers extensive customization:
- Adjust smoothness
- Change band multipliers
- Modify color schemes
- Enable/disable features like lag reduction
## Important Considerations for Beginners
🚨 **Disclaimer**:
- No indicator guarantees profits
- Always practice with a demo account first
- Learn and understand the indicator before live trading
- Market conditions change, so continually adapt your strategy
## Getting Started
1. Add the script to your TradingView chart
2. Experiment with different settings
3. Backtest on historical data
4. Start with small positions
5. Continuously learn and improve
Happy Trading! 📈🔍
IU Smart Flow SystemDESCRIPTION
The IU Smart Flow System is a powerful and dynamic order flow-based strategy designed to capture high-probability trades by analyzing bullish and bearish imbalances, trend direction, and RSI strength. It identifies trading opportunities by aligning order flow conditions with the prevailing trend and momentum, making it suitable for trend-following and momentum-based trading.
This system utilizes a unique combination of:
- Order flow score to gauge market imbalance
- Trend filter using SMA and ATR to confirm market direction
- RSI to ensure entry only during strong momentum
USER INPUTS:
- Imbalance Length: Defines the lookback period for calculating bullish and bearish imbalances. (Default: 10)
- Trend Length: Determines the length of the SMA to evaluate the trend direction. (Default: 50)
- RSI Length: Specifies the RSI period to assess momentum strength. (Default: 14)
LONG CONDITIONS:
Long entries are triggered when:
- Order flow score is positive, indicating bullish imbalance
- Price is above the bullish trend level (SMA + ATR), confirming an uptrend
- RSI is above 50, indicating bullish momentum
- No active short position is currently open
SHORT CONDITIONS:
Short entries are triggered when:
- Order flow score is negative, indicating bearish imbalance
- Price is below the bearish trend level (SMA - ATR), confirming a downtrend
- RSI is below 50, indicating bearish momentum
- No active long position is currently open
WHY IT IS UNIQUE:
- Imbalance-Based Approach: Unlike traditional strategies that rely solely on price action, this system evaluates bullish and bearish imbalances to anticipate order flow direction.
- Adaptive Trend Filter: The combination of SMA and ATR dynamically adjusts to market volatility, providing a reliable trend confirmation mechanism.
- Momentum Validation with RSI: Ensures that entries are taken only in the direction of strong momentum, reducing false signals.
HOW USERS CAN BENEFIT FROM IT:
- Enhanced Trade Accuracy: Aligning order flow, trend, and momentum reduces false signals and improves trade success rates.
- Versatile Application: Suitable for various markets and timeframes, making it adaptable to different trading styles.
- Clear Trade Signals: Provides clear entry labels and alerts, ensuring traders never miss a potential opportunity.
- Visual Clarity: The filled region between bullish and bearish trends highlights trend direction, enhancing decision-making.
Weight Convergence DivergenceWeight Convergence Divergence ⚖️
1. Introduction
The Weight Convergence Divergence (WCD) indicator applies principles of rotational equilibrium from classical physics to financial market analysis. By quantifying market momentum as a physical balance system, this indicator helps traders identify potential price reversals and continuation patterns through the visualization of market forces .
2. Theoretical Grounds 📚
The WCD draws inspiration from the physical concept of rotational equilibrium, where opposing forces create a balance or imbalance in a system (Giancoli, 2016, pp.247–249). In market analysis, this can be translated to the comparative measurement of bullish and bearish momentum (Bouchaud and Potters, 2003) . Lo and MacKinlay (1988) and Corbet and Katsiampa (2018) demonstrate that markets exhibit both mean-reverting and momentum characteristics, supporting the concept of opposing market forces that the WCD seeks to visualize. Bouchaud and Potters (2003) further highlight that principles from statistical physics can be applied to financial markets, providing a theoretical foundation for approaches like we are doing with the WCD.
3. Methodology 🧪
The WCD indicator quantifies market mass through the following approach:
Calculates mass by multiplying the candle's body (close-open) with volume mass = body * volume
Compares recent market mass (right side) with historical mass (left side)
Visualizes the equilibrium point with a dynamic balance line balance_ln
Generates signals when the balance shifts buy_signal = ta.crossover(right_mass, 0) and left_mass <= 0 and ly > middle_level
sell_signal = ta.crossunder(right_mass, 0) and left_mass >= 0 and ly < middle_level
4. Visual Elements 🎨
Balance Line: A tilting dashed line representing equilibrium between past and present market forces
🟩 Green Boxes: Positive market mass (bullishness)
🟥 Red Boxes: Negative market mass (bearishness)
▲ Buy Signals: When right mass turns positive while left mass is negative
▼ Sell Signals: When right mass turns negative while left mass is positive
5. Integrated Risk Management 🛡️
Automatic stop loss calculation based on Average True Range (ATR)
Dynamic profit targets calibrated to user-defined risk-reward ratios
Visual position management table to track entries, targets, and stops throughout trade duration
6. Parametrization ⚙️
Distance: Number of bars for mass calculation
ATR Length: Period for volatility calculation
ATR Factor: Multiplier applied to ATR for stop loss determination
Risk-Reward Ratio: Factor used for target calculation
7. Implementation Strategies 📈
7.1. Trend Reversal Strategy (More Risky) 🔄
Identify overextended market conditions
Wait for a counter-trend signal
Consider the calculated stop loss and take profit
7.2. Momentum Continuation Strategy (Less Risky) ➡️
Identify the prevailing trend
Look for multiple signals in the trend direction ( the balance line is not the trend! )
Wait for a second or third signal confirmation
Consider the calculated stop loss and take profit
8. Timeframe Flexibility: ⏱️
Lower timeframes (5-15m): Quick signals for scalping
Medium timeframes (30m-4h): Balanced for day trading
Higher timeframes (Daily+): Reliable signals for swing trading
9. References 📗
Bouchaud, J.-P. and Potters, M. (2003). Theory of Financial Risk and Derivative Pricing. doi: doi.org .
Corbet, S. and Katsiampa, P. (2018). Asymmetric mean reversion of Bitcoin price returns. International Review of Financial Analysis. doi: doi.org .
Giancoli, D.C. (2016). Physics : Principles with Applications. 7th ed. Harlow: Pearson Education, pp.247–249.
Lo, A.W. and MacKinlay, A.C. (1988). Stock Market Prices Do Not Follow Random Walks: Evidence from a Simple Specification Test. Review of Financial Studies, 1(1), pp.41–66. doi: doi.org .
Disclaimer ⚠️
The Weight Convergence Divergence indicator is designed for informational and educational purposes only. Past performance is not necessarily indicative of future results. Traders should conduct thorough analysis and employ proper risk management techniques. This tool does not constitute financial advice and should be used at the user's own discretion.
Advanced Swing High/Low Trend Lines with MA Filter# Advanced Swing High/Low Trend Lines Indicator
## Overview
This advanced indicator identifies and draws trend lines based on swing highs and lows across three different timeframes (large, middle, and small trends). It's designed to help traders visualize market structure and potential support/resistance levels at multiple scales simultaneously.
## Key Features
- *Multi-Timeframe Analysis*: Simultaneously tracks trends at large (200-bar), middle (100-bar), and small (50-bar) scales
- *Customizable Visualization*: Different colors, widths, and styles for each trend level
- *Trend Confirmation System*: Requires minimum consecutive pivot points to validate trends
- *Trend Filter Option*: Can align trends with 200 EMA direction for consistency
## Recommended Settings
### For Long-Term Investors:
- Large Swing Length: 200-300
- Middle Swing Length: 100-150
- Small Swing Length: 50-75
- Enable Trend Filter: Yes
- Confirmation Points: 4-5
### For Swing Traders:
- Large Swing Length: 100
- Middle Swing Length: 50
- Small Swing Length: 20-30
- Enable Trend Filter: Optional
- Confirmation Points: 3
### For Day Traders:
- Large Swing Length: 50
- Middle Swing Length: 20
- Small Swing Length: 5-10
- Enable Trend Filter: No
- Confirmation Points: 2-3
## How to Use
### Identification:
1. *Large Trend Lines* (Red/Green): Show major market structure
2. *Middle Trend Lines* (Purple/Aqua): Intermediate levels
3. *Small Trend Lines* (Orange/Blue): Short-term price action
### Trading Applications:
- *Breakout Trading*: Watch for price breaking through multiple trend lines
- *Bounce Trading*: Look for reactions at confluence of trend lines
- *Trend Confirmation*: Aligned trends across timeframes suggest stronger moves
### Best Markets:
- Works well in trending markets (forex, indices)
- Effective in higher timeframes (1H+)
- Can be used in ranging markets to identify boundaries
## Customization Tips
1. For cleaner charts, reduce line widths in congested markets
2. Use dotted styles for smaller trends to reduce visual clutter
3. Adjust confirmation points based on market volatility (higher for noisy markets)
## Limitations
- May repaint on current swing points
- Works best in trending conditions
- Requires sufficient historical data for longer swing lengths
This indicator provides a comprehensive view of market structure across multiple timeframes, helping traders make more informed decisions by visualizing the hierarchy of support and resistance levels.
Bitcoin Polynomial Regression ModelThis is the main version of the script. Click here for the Oscillator part of the script.
💡Why this model was created:
One of the key issues with most existing models, including our own Bitcoin Log Growth Curve Model , is that they often fail to realistically account for diminishing returns. As a result, they may present overly optimistic bull cycle targets (hence, we introduced alternative settings in our previous Bitcoin Log Growth Curve Model).
This new model however, has been built from the ground up with a primary focus on incorporating the principle of diminishing returns. It directly responds to this concept, which has been briefly explored here .
📉The theory of diminishing returns:
This theory suggests that as each four-year market cycle unfolds, volatility gradually decreases, leading to more tempered price movements. It also implies that the price increase from one cycle peak to the next will decrease over time as the asset matures. The same pattern applies to cycle lows and the relationship between tops and bottoms. In essence, these price movements are interconnected and should generally follow a consistent pattern. We believe this model provides a more realistic outlook on bull and bear market cycles.
To better understand this theory, the relationships between cycle tops and bottoms are outlined below:https://www.tradingview.com/x/7Hldzsf2/
🔧Creation of the model:
For those interested in how this model was created, the process is explained here. Otherwise, feel free to skip this section.
This model is based on two separate cubic polynomial regression lines. One for the top price trend and another for the bottom. Both follow the general cubic polynomial function:
ax^3 +bx^2 + cx + d.
In this equation, x represents the weekly bar index minus an offset, while a, b, c, and d are determined through polynomial regression analysis. The input (x, y) values used for the polynomial regression analysis are as follows:
Top regression line (x, y) values:
113, 18.6
240, 1004
451, 19128
655, 65502
Bottom regression line (x, y) values:
103, 2.5
267, 211
471, 3193
676, 16255
The values above correspond to historical Bitcoin cycle tops and bottoms, where x is the weekly bar index and y is the weekly closing price of Bitcoin. The best fit is determined using metrics such as R-squared values, residual error analysis, and visual inspection. While the exact details of this evaluation are beyond the scope of this post, the following optimal parameters were found:
Top regression line parameter values:
a: 0.000202798
b: 0.0872922
c: -30.88805
d: 1827.14113
Bottom regression line parameter values:
a: 0.000138314
b: -0.0768236
c: 13.90555
d: -765.8892
📊Polynomial Regression Oscillator:
This publication also includes the oscillator version of the this model which is displayed at the bottom of the screen. The oscillator applies a logarithmic transformation to the price and the regression lines using the formula log10(x) .
The log-transformed price is then normalized using min-max normalization relative to the log-transformed top and bottom regression line with the formula:
normalized price = log(close) - log(bottom regression line) / log(top regression line) - log(bottom regression line)
This transformation results in a price value between 0 and 1 between both the regression lines. The Oscillator version can be found here.
🔍Interpretation of the Model:
In general, the red area represents a caution zone, as historically, the price has often been near its cycle market top within this range. On the other hand, the green area is considered an area of opportunity, as historically, it has corresponded to the market bottom.
The top regression line serves as a signal for the absolute market cycle peak, while the bottom regression line indicates the absolute market cycle bottom.
Additionally, this model provides a predicted range for Bitcoin's future price movements, which can be used to make extrapolated predictions. We will explore this further below.
🔮Future Predictions:
Finally, let's discuss what this model actually predicts for the potential upcoming market cycle top and the corresponding market cycle bottom. In our previous post here , a cycle interval analysis was performed to predict a likely time window for the next cycle top and bottom:
In the image, it is predicted that the next top-to-top cycle interval will be 208 weeks, which translates to November 3rd, 2025. It is also predicted that the bottom-to-top cycle interval will be 152 weeks, which corresponds to October 13th, 2025. On the macro level, these two dates align quite well. For our prediction, we take the average of these two dates: October 24th 2025. This will be our target date for the bull cycle top.
Now, let's do the same for the upcoming cycle bottom. The bottom-to-bottom cycle interval is predicted to be 205 weeks, which translates to October 19th, 2026, and the top-to-bottom cycle interval is predicted to be 259 weeks, which corresponds to October 26th, 2026. We then take the average of these two dates, predicting a bear cycle bottom date target of October 19th, 2026.
Now that we have our predicted top and bottom cycle date targets, we can simply reference these two dates to our model, giving us the Bitcoin top price prediction in the range of 152,000 in Q4 2025 and a subsequent bottom price prediction in the range of 46,500 in Q4 2026.
For those interested in understanding what this specifically means for the predicted diminishing return top and bottom cycle values, the image below displays these predicted values. The new values are highlighted in yellow:
And of course, keep in mind that these targets are just rough estimates. While we've done our best to estimate these targets through a data-driven approach, markets will always remain unpredictable in nature. What are your targets? Feel free to share them in the comment section below.
SoMiLTrades - Micro Cycle RangeMicro Cycle Range Indicator
All Credits are given to the original Authors of the Scripts.
▫️Included Special Master Switches at the top, allowing you to toggle indicators on or off with a single click.
▫️Highlight and Draw Pivots H/L as well as the Opening Line of 6 Specific 22 Minutes Time Windows used to frame a Simple Breakout Trade.
The Six 22 Minutes Time Windows are ->
1800 MCR Range - 18:00 to 19:00
Coil MCR Range - 21:00 to 21:22
LO MCR Range - 01:00 to 01:22
Secret MCR Range - 05:00 to 05:22
NYAM MCR Range - 09:00 to 09:22
NYPM MCR Range - 13:00 to 13:22
▫️Highlight the 1 Hour long 18:00 Range. (18:00 to 19:00)
▫️Draws Custom Standard Deviations Levels from the range that acts as basic Price Reversals or Take Profit Levels. (Includes Custom Label Names for each Standard Deviation Levels Drawn)
▫️Highlights the 6 Daily Profiles to use with the MCR Range to Quickly identifies the next phase of Price Action using AMDX/XAMD.
▫️Shows the 2 Daily Candle Ranges (DCRs) to Easily Spot the Support / Resistance Level for the week. (Can also be used as Point where Price Maybe headed)
▫️Shows Clear Daily/Weekly/Monthly Seperators to easily identify New days, weeks.. (Helps to see Daily Profile more Clearly)
▫️Shows and Help to Quickly spot significant wicks, which indicate areas of strong market rejection. ( By focusing on longer wicks, it identifies potential turning points where there was a strong buying or selling reaction)
▫️Included a Simple Watermark Tool to display your Name and Ticker on the Screen of Aesthetic Purposes.
▫️Wicks (MTF) (User can now use Wicks 1 and Wick 2 both for high probability Wick Gaps identification, the default settings i provided works the best on ES! )
▫️Shows HTF Candles to Easily Visualize and Check how the Higher Time frame Candles are being formed without changing the current time frame
▫️Use Below Custom Names for the default Levels : Remove and just leave a space using space bar on your keyboard
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Disclaimer
Code Contribution & Ownership:
This indicator pack is a compilation of publicly available ideas and concepts that have been combined, optimized, and enhanced to create a seamless trading tool. While some features are custom-built, others are adapted or modified for better usability. Full credit goes to the original authors of the scripts and ideas used.
Copyright Acknowledgment:
This script does not claim exclusive ownership of any underlying concepts or publicly available code. If any part of this tool inadvertently violates copyright or usage terms, please contact me, and I will address it promptly.
Usage Policy:
This pack is provided “as-is” and is intended for educational purposes only. It is not financial advice. Always back test and verify indicator outputs before making trading decisions.
Contact Information:
If you have any questions, feedback, or suggestions, feel free to reach out to me:
Twitter/X: @SoMiLTrades
Smart Money Pivot Strategy [Jason Kasei]This strategy is designed to identify key pivot points (Pivot High and Pivot Low) in the market and leverage the "Smart Money" concept to capture price breakout opportunities. It supports both long and short trades, offering customizable stop-loss (SL) and take-profit (TP) settings, while visually plotting pivot points and breakout signals on the chart.
Core Features
Pivot Point Detection:
Utilizes ta.pivothigh and ta.pivotlow functions to detect the highest (Pivot High) and lowest (Pivot Low) points within a specified period (default: 20 bars).
Allows users to choose between using the high/low prices (Wicks) or closing prices for calculations, with Wicks as the default.
Generates buy (BUY) or sell (SELL) signals when the price breaks through these pivot points.
Trading Signals:
Long Signal: Triggered when the price breaks above a previous Pivot High, indicating a potential uptrend.
Short Signal: Triggered when the price breaks below a previous Pivot Low, indicating a potential downtrend.
Risk Management:
Long Settings:
Stop Loss (SL): Percentage-based (default 1%), calculated as a downward move from the entry price.
Take Profit (TP): Percentage-based (default 1.5%), calculated as an upward move from the entry price.
Short Settings:
Stop Loss (SL): Percentage-based (default 1%), calculated as an upward move from the entry price.
Take Profit (TP): Percentage-based (default 1.5%), calculated as a downward move from the entry price.
Users can customize SL and TP percentages via input parameters.
Capital Management:
Uses 100% of account equity by default for trades (default_qty_value=100).
Initial capital is set to 10,000 (initial_capital=10000).
Processes orders at bar close (process_orders_on_close=true).
Use Cases
Trend Trading: Ideal for capturing trend continuations following pivot point breakouts.
Flexibility: Allows enabling/disabling long or short strategies independently to suit different market conditions.
Visual Aid: Lines and labels on the chart help traders intuitively understand signal generation.
Input Parameters
Period (Length): Number of bars for pivot detection, default is 20.
Enable Long Strategy: Toggle for long trades, enabled by default.
Enable Short Strategy: Toggle for short trades, enabled by default.
Stop Loss and Take Profit Percentages: Independently adjustable for long and short trades, defaulting to 1% (SL) and 1.5% (TP).
Color Settings: Customizable colors for long and short signals.
How It Works
Detects Pivot High (PH) and Pivot Low (PL) over the specified period and records their price and time.
Triggers a long entry when the price breaks above a Pivot High and a short entry when it falls below a Pivot Low.
Sets exit conditions automatically based on predefined SL and TP percentages after entry.
Plots breakout points and levels on the chart for analysis.
Considerations
The strategy relies on accurate pivot point detection; adjust the period parameter based on market volatility.
In highly volatile markets, consider widening the stop loss to avoid frequent triggering.
Combine with other indicators or analysis methods to validate signals and avoid blind trading.
This strategy combines technical analysis and risk management in a straightforward, visual manner, making it suitable for users seeking automated trading based on pivot point breakouts.
[blackcat] L3 Composite Trading System with ControlOVERVIEW
This indicator combines three distinct trading strategies into a unified decision-making framework. Utilizing KDJ oscillators, MACD divergence analysis, and adaptive signal filtering techniques, it provides actionable buy/sell signals validated against multi-period momentum trends and structural support/resistance levels.
FEATURES
Integrated KDJ oscillator with weighted moving average smoothing
Dynamic MACD difference visualization normalized against price volatility
Multi-layered confirmation process: • Momentum convergence/divergence tracking
• Candle pattern recognition (Yellow/Fuchsia flags)
• SMAs cross-validation (20/60-day thresholds)
Adaptive risk controls via tunable α parameter adjustment
HOW TO USE
Set Alpha Period parameter matching market cycle characteristics
Monitor primary trend direction via candle coloring (green/red zones)
Confirm directional bias using: ▪️ KDJ-J line position relative to zero axis ▪️ MACD histogram slope persistence (>3 bar validation)
Execute trades only when: • Buy/Sell labels align across both oscillator panels • Coincide with candle flag transitions (e.g., red→yellow) • Validate against concurrent SMA breakout conditions
LIMITATIONS
Lag inherent in EMA-based components during rapid reversals
Requires minimum 60-bar history for full functionality
Sensitive to fractal scaling due to normalization methods
Does not account for liquidity/volume dynamics
NOTES
• Yellow/Fuchsia flags reflect relative strength changes vs prior session
• SMA crossover validations have 16-bar lookback memory retention
ML Deep Regression Pro (TechnoBlooms)ML Deep Regression Pro is a machine-learning-inspired trading indicator that integrates Polynomial Regression, Linear Regression and Statistical Deviation models to provide a powerful, data-driven approach to market trend analysis.
Designed for traders, quantitative analysts and developers, this tool transforms raw market data into predictive trend insights, allowing for better decision-making and trend validation.
By leveraging statistical regression techniques, ML Deep Regression Pro eliminates market noise and identifies key trend shifts, making it a valuable addition to both manual and algorithmic trading strategies.
REGRESSION ANALYSIS
Regression is a statistical modeling technique used in machine learning and data science to identify patterns and relationships between variables. In trading, it helps detect price trends, reversals and volatility changes by fitting price data into a predictive model.
1. Linear Regression -
The most widely used regression model in trading, providing a best-fit plotted line to track price trends.
2. Polynomial Regression -
A more advanced form of regression that fits curved price structures, capturing complex market cycles and improving trend forecasting accuracy.
3. Standard Deviation Bands -
Based on regression calculations, these bands measure price dispersion and identify overbought/ oversold conditions, similar to Bollinger Bands. By default, these lines are hidden and user can make it visible through Settings.
KEY FEATURES :-
✅ Hybrid Regression Engine – Combines Linear and Polynomial Regression to detect market trends with greater accuracy.
✅ Dynamic Trend Bias Analysis – Identifies bullish & bearish market conditions using real-time regression models.
✅ Standard Deviation Bands – Measures price volatility and potential reversals with an advanced deviation model.
✅ Adaptive EMA Crossover Signals – Generates buy/sell signals when price momentum shifts relative to the regression trend.
MACD Volume Strategy (BBO + MACD State, Reversal Type)Overview
MACD Volume Strategy (BBO + MACD State, Reversal Type) is a momentum-based trading strategy designed to capture trend reversals with precision. It combines MACD crossover logic with volume confirmation to filter out false signals and ride strong moves with confidence.
Strategy Objectives
Detect early trend transitions with high accuracy
Filter entries using volume dynamics to confirm strength
Maintain full exposure using a reversal (flip) model
Enforce a 1:1.5 risk-to-reward ratio per trade
Key Features
Integrated MACD + volume-based entry filtering
Zero repainting logic (entries are confirmed on closed bars)
Auto-reverse mechanism for seamless directional transitions
SL/TP dynamically calculated from recent highs/lows
Trading Rules
Long Entry Conditions
MACD crosses above the zero line (BBO Buy arrow)
Volume oscillator is positive (short EMA > long EMA)
MACD is above the signal line
Close any existing short position, enter a new long
Short Entry Conditions
MACD crosses below the zero line (BBO Sell arrow)
Volume oscillator is positive
MACD is below the signal line
Close any existing long position, enter a new short
Exit Rules
Take Profit (TP): Entry ± (risk distance × 1.5)
Stop Loss (SL): Recent swing low (long) or swing high (short)
Early Exit: Triggered by reverse signal via flip logic
Risk Management Parameters
Pair: EUR/USD
Timeframe: 10-minute
Starting Capital: $7,000
Commission: 1 pip (round-trip)
Slippage: 1 pip
Risk per Trade: 10% of account equity (adjustable)
Total Trades: 385 (backtest)
Parameters & Configurations
MACD Type: Selectable (SMA or EMA for both source & signal)
MACD Periods: Fast = 11, Slow = 21, Signal = 10
Volume Oscillator: Short = 6, Long = 12
Risk-Reward: Fixed at 1:1.5
Swing Points: Based on last 10 bars' highs and lows
Visual Support
Green arrow: Long entry
Red arrow: Short entry
MACD + Signal lines with histogram
SL/TP levels plotted on the chart via exit markers
Strategic Advantages & Uniqueness
Volume filtering cuts out weak/low-participation signals
Market-structure-based SL/TP improves technical alignment
No repainting — all decisions are based on closed candle data
Reversal model ensures the strategy is always in the market
Inspirations & Attribution
This strategy is inspired by the outstanding work of the following creators:
Bitcoinblockchainonline – “BBO_Roxana_Signals MACD + vol”
Leveraging a smart combination of MACD zero-line cross and volume oscillator for highly intuitive signals. The BBO "arrow logic" is used as the primary trigger here.
HasanRifat – “MACD Fake Filter ”
Known for introducing a smart MACD signal filter based on average wave height. This concept has been incorporated to strengthen signal reliability and reduce noise.
Respect and gratitude to both authors.
This strategy is an evolution of their brilliant ideas into a more automated, risk-managed, and technically adaptive system.
Summary
MACD Volume Strategy is a sharp, structure-respecting, momentum-confirming automated system designed for traders who want logic-first entries without any lag or noise.
100% mechanical — no discretion needed
Built for traders who demand precision
Works as-is or can be further customized with session filters, alerts, or trailing stops
RSI Divergence Strategy - Visible SignalsThis script identifies bullish and bearish RSI divergences with highly visible signals:
🔹 Bullish Divergence: Price makes a lower low while RSI makes a higher low (Oversold)
🔹 Bearish Divergence: Price makes a higher high while RSI makes a lower high (Overbought)
Features:
✅ Large visual signals (triangles + background highlights)
✅ Adjustable RSI & lookback periods
✅ Debug table to verify calculations
✅ Works on all timeframes (best on 1H-4H)
Ideal for: Swing trading, reversals, and confirmation with price action.
Try it on:
BTC,EURUSD, or any liquid asset.
Tip: Reduce lookback for scalping, increase for swing trades.
SuperTrend MTF Pro [Cometreon]The SuperTrend MTF Pro takes the classic SuperTrend to a whole new level of customization and accuracy. Unlike the standard version, this indicator allows you to select different moving averages, apply it to various chart types, and fine-tune every key parameter.
If you're looking for an advanced, non-repainting, and highly configurable SuperTrend, this is the right choice for you.
🔷 New Features and Improvements
🟩 Multi-MA SuperTrend
Now you can customize the SuperTrend calculation by choosing from 15 different moving averages:
SMA (Simple Moving Average)
EMA (Exponential Moving Average)
WMA (Weighted Moving Average)
RMA (Smoothed Moving Average)
HMA (Hull Moving Average)
JMA (Jurik Moving Average)
DEMA (Double Exponential Moving Average)
TEMA (Triple Exponential Moving Average)
LSMA (Least Squares Moving Average)
VWMA (Volume-Weighted Moving Average)
SMMA (Smoothed Moving Average)
KAMA (Kaufman’s Adaptive Moving Average)
ALMA (Arnaud Legoux Moving Average)
FRAMA (Fractal Adaptive Moving Average)
VIDYA (Variable Index Dynamic Average)
🟩 Multiple Chart Types
You're no longer limited to candlestick charts! Now you can use SuperTrend with different chart formats, including:
Heikin Ashi
Renko
Kagi
Line Break
Point & Figure
🟩 Customizable Timeframe
Now you can adjust the SuperTrend timeframe without repainting issues, avoiding signal distortions.
🔷 Technical Details and Customizable Inputs
SuperTrend offers multiple customization options to fit any trading strategy:
1️⃣ ATR Period – Defines the ATR length, affecting the indicator’s sensitivity.
2️⃣ Source – Selects the price value used for calculations (Close, HL2, Open, etc.).
3️⃣ ATR Mult – Multiplies the ATR to determine band distance. Higher values reduce false signals, lower values make it more reactive.
4️⃣ Change ATR Calculation Method – When enabled, uses the default ATR method; when disabled, allows selecting another Moving Average with "Use Different Type".
5️⃣ Source Break – Defines the price source for trend changes (Close for more stability, High/Low for more reactivity).
6️⃣ Use Different Type – Allows selecting an alternative Moving Average for ATR calculation if "Change ATR Calculation Method" is disabled.
7️⃣ SuperTrend Type – Advanced options for specific MAs (JMA, ALMA, FRAMA, VIDYA), with dedicated parameters like Phase, Sigma, and Offset for optimized responsiveness.
8️⃣ Ticker Settings – Customize parameters for special chart types such as Renko, Heikin Ashi, Kagi, Line Break, and Point & Figure, adjusting reversal, number of lines, and ATR length.
9️⃣ Timeframe – Enables using SuperTrend on a higher timeframe.
🔟 Wait for Timeframe Closes -
Enabled ✅ – Prevents multiple signals, useful for precise alerts.
Disabled ❌ – Displays SuperTrend smoothly without interruptions.
🔷 How to Use SuperTrend MTF Pro
🔍 Identifying Trends
SuperTrend follows the ongoing trend and provides clear visual signals:
When the price is above the line, the trend is bullish.
When the price is below the line, the trend is bearish.
📈 Interpreting Signals
Line color and position change → Possible trend reversal
Bounce off the line → Potential trend continuation
Strong breakout of the line → Possible reversal
🛠 Integration with Other Tools
RSI or MACD to filter false signals
Moving Averages to confirm trend direction
Support and Resistance to improve entry points
☄️ If you find this indicator useful, leave a Boost to support its development!
Every feedback helps to continuously improve the tool, offering an even more effective trading experience. Share your thoughts in the comments! 🚀🔥
