AMD Session Structure Levels# Market Structure & Manipulation Probability Indicator
## Overview
This advanced indicator is designed for traders who want a systematic approach to analyzing market structure, identifying manipulation, and assessing probability-based trade setups. It incorporates four core components:
### 1. Session Price Action Analysis
- Tracks **OHLC (Open, High, Low, Close)** within defined sessions.
- Implements a **dual tracking system**:
- **Official session levels** (fixed from the session open to close).
- **Real-time max/min tracking** to differentiate between temporary spikes and real price acceptance.
### 2. Market Manipulation Detection
- Identifies **manipulative price action** using the relationship between the open and close:
- If **price closes below open** → assumes **upward manipulation**, followed by **downward distribution**.
- If **price closes above open** → assumes **downward manipulation**, followed by **upward distribution**.
- Normalized using **ATR**, ensuring adaptability across different volatility conditions.
### 3. Probability Engine
- Tracks **historical wick ratios** to assess trend vs. reversal conditions.
- Calculates **conditional probabilities** for price moves.
- Uses a **special threshold system (0.45 and 0.03)** for reversal signals.
- Provides **real-time probability updates** to enhance trade decision-making.
### 4. Market Condition Classification
- Classifies market conditions using a **wick-to-body ratio**:
```pine
wick_to_body_ratio = open > close ? upper_wick / (high - low) : lower_wick / (high - low)
```
- **Low ratio (<0.25)** → Likely a **trend day**.
- **High ratio (>0.25)** → Likely a **range day**.
---
## Why This Indicator Stands Out
### ✅ Smarter Level Detection
- Uses **ATR-based dynamic levels** instead of static support/resistance.
- Differentiates **manipulation from distribution** for better decision-making.
- Updates probabilities **in real-time**.
### ✅ Memory-Efficient Design
- Implements **circular buffers** to maintain efficiency:
```pine
var float manipUp = array.new_float(lookbackPeriod, 0.0)
var float manipDown = array.new_float(lookbackPeriod, 0.0)
```
- Ensures **constant memory usage**, even over extended trading sessions.
### ✅ Advanced Probability Calculation
- Utilizes **conditional probabilities** instead of simple averages.
- Incorporates **market context** through wick analysis.
- Provides **actionable signals** via a probability table.
---
## Trading Strategy Guide
### **Best Entry Setups**
✅ Wait for **price to approach manipulation levels**.
✅ Confirm using the **probability table**.
✅ Check the **wick ratio for context**.
✅ Enter when **conditional probability aligns**.
### **Smart Exit Management**
✅ Use **distribution levels** as **profit targets**.
✅ Scale out **when probabilities shift**.
✅ Monitor **wick percentiles** for confirmation.
### **Risk Management**
✅ Size positions based on **probability readings**.
✅ Place stops at **manipulation levels**.
✅ Adjust position size based on **trend vs. range classification**.
---
## Configuration Tips
### **Session Settings**
```pine
sessionTime = input.session("0830-1500", "Session Hours")
weekDays = input.string("23456", "Active Days")
```
- Match these to your **primary trading session**.
- Adjust for different **market opens** if needed.
### **Analysis Parameters**
```pine
lookbackPeriod = input.int(50, "Lookback Period")
low_threshold = input.float(0.25, "Trend/Range Threshold")
```
- **50 periods** is a good starting point but can be optimized per instrument.
- The **0.25 threshold** is ideal for most markets but may need adjustments.
---
## Market Structure Breakdown
### **Trend/Continuation Days**
- **Characteristics:**
✅ Small **opposing wicks** (minimal counter-pressure).
✅ Clean, **directional price movement**.
- **Bullish Trend Day Example:**
✅ Small **lower wicks** (minimal downward pressure).
✅ Strong **closes near the highs** → **Buyers in control**.
- **Bearish Trend Day Example:**
✅ Small **upper wicks** (minimal upward pressure).
✅ Strong **closes near the lows** → **Sellers in control**.
### **Reversal Days**
- **Characteristics:**
✅ **Large opposing wicks** → Failed momentum in the initial direction.
- **Bullish Reversal Example:**
✅ **Large upper wick early**.
✅ **Strong close from the lows** → **Sellers failed to maintain control**.
- **Bearish Reversal Example:**
✅ **Large lower wick early**.
✅ **Weak close from the highs** → **Buyers failed to maintain control**.
---
## Summary
This indicator systematically quantifies market structure by measuring **manipulation, distribution, and probability-driven trade setups**. Unlike traditional indicators, it adapts dynamically using **ATR, historical probabilities, and real-time tracking** to offer a structured, data-driven approach to trading.
🚀 **Use this tool to enhance your decision-making and gain an objective edge in the market!**
Komut dosyalarını "track" için ara
Liquidations Zones [ChartPrime]The Liquidation Zones indicator is designed to detect potential liquidation zones based on common leverage levels such as 10x, 25x, 50x, and 100x. By calculating percentage distances from recent pivot points, the indicator shows where leveraged positions are most likely to get liquidated. It also tracks buy and sell volumes in these zones, helping traders assess market pressure and predict liquidation scenarios. Additionally, the indicator features a heat map mode to highlight areas where orders and stop-losses might be clustered.
⯁ KEY FEATURES AND HOW TO USE
⯌ Leverage Zones Detection :
The indicator identifies zones where positions with leverage ratios of 100x, 50x, 25x, and 10x are at risk of liquidation. These zones are based on percentage moves from recent pivots: a 1% move can liquidate 100x positions, a 4% move affects 25x positions, and so on.
⯌ Liquidated Zones and Volume Tracking :
The indicator displays liquidated zones by plotting gray areas where the price potentually liquidate positons. It calculates the volume needed to liquidate positions in these zones, showing volume from bullish candles if short positions were liquidated and volume from bearish candles for long positions. This feature helps traders assess the risk of liquidation as the price approaches these zones.
⯌ Buy/Sell Volume Calculation :
Buy and sell volumes are calculated from the most recent pivot high or low. For buy volume, only bullish candles are considered, while for sell volume, only bearish candles are summed. This data helps traders gauge the strength of potential liquidation in different zones.
Example of buy and sell volume tracking in active zones:
⯌ Liquidity Heat Map :
In heat map mode, the indicator visualizes potential liquidity areas where orders and stop-losses may be clustered. This map highlights zones that are likely to experience liquidations based on leverage ratios. Additionally, it tracks the highest and lowest price levels for the past 100 bars, while also displaying buy and sell volumes. This feature is useful for predicting market moves driven by liquidation events.
⯁ USER INPUTS
Length : Determines the number of bars used to calculate pivots for liquidation zones.
Extend : Controls how far the liquidation zones are extended on the chart.
Leverage Options : Toggle options to display zones for different leverage levels: 10x, 25x, 50x, and 100x.
Display Heat Map : Enables or disables the liquidity heat map feature.
⯁ CONCLUSION
The Liquidation Zones indicator provides a powerful tool for identifying potential liquidation zones, tracking volume pressure, and visualizing liquidity areas on the chart. With its real-time updates and multiple features, this indicator offers valuable insights for managing risk and anticipating market moves driven by leveraged positions.
Multi-Step FlexiMA - Strategy [presentTrading]It's time to come back! hope I can not to be busy for a while.
█ Introduction and How It Is Different
The FlexiMA Variance Tracker is a unique trading strategy that calculates a series of deviations between the price (or another indicator source) and a variable-length moving average (MA). Unlike traditional strategies that use fixed-length moving averages, the length of the MA in this system varies within a defined range. The length changes dynamically based on a starting factor and an increment factor, creating a more adaptive approach to market conditions.
This strategy integrates Multi-Step Take Profit (TP) levels, allowing for partial exits at predefined price increments. It enables traders to secure profits at different stages of a trend, making it ideal for volatile markets where taking full profits at once might lead to missed opportunities if the trend continues.
BTCUSD 6hr Performance
█ Strategy, How It Works: Detailed Explanation
🔶 FlexiMA Concept
The FlexiMA (Flexible Moving Average) is at the heart of this strategy. Unlike traditional MA-based strategies where the MA length is fixed (e.g., a 50-period SMA), the FlexiMA varies its length with each iteration. This is done using a **starting factor** and an **increment factor**.
The formula for the moving average length at each iteration \(i\) is:
`MA_length_i = indicator_length * (starting_factor + i * increment_factor)`
Where:
- `indicator_length` is the user-defined base length.
- `starting_factor` is the initial multiplier of the base length.
- `increment_factor` increases the multiplier in each iteration.
Each iteration applies a **simple moving average** (SMA) to the chosen **indicator source** (e.g., HLC3) with a different length based on the above formula. The deviation between the current price and the moving average is then calculated as follows:
`deviation_i = price_current - MA_i`
These deviations are normalized using one of the following methods:
- **Max-Min normalization**:
`normalized_i = (deviation_i - min(deviations)) / range(deviations)`
- **Absolute Sum normalization**:
`normalized_i = deviation_i / sum(|deviation_i|)`
The **median** and **standard deviation (stdev)** of the normalized deviations are then calculated as follows:
`median = median(normalized deviations)`
For the standard deviation:
`stdev = sqrt((1/(N-1)) * sum((normalized_i - mean)^2))`
These values are plotted to provide a clear indication of how the price is deviating from its variable-length moving averages.
For more detail:
🔶 Multi-Step Take Profit
This strategy uses a multi-step take profit system, allowing for exits at different stages of a trade based on the percentage of price movement. Three take-profit levels are defined:
- Take Profit Level 1 (TP1): A small, quick profit level (e.g., 2%).
- Take Profit Level 2 (TP2): A medium-level profit target (e.g., 8%).
- Take Profit Level 3 (TP3): A larger, more ambitious target (e.g., 18%).
At each level, a corresponding percentage of the trade is exited:
- TP Percent 1: E.g., 30% of the position.
- TP Percent 2: E.g., 20% of the position.
- TP Percent 3: E.g., 15% of the position.
This approach ensures that profits are locked in progressively, reducing the risk of market reversals wiping out potential gains.
Local
🔶 Trade Entry and Exit Conditions
The entry and exit signals are determined by the interaction between the **SuperTrend Polyfactor Oscillator** and the **median** value of the normalized deviations:
- Long entry: The SuperTrend turns bearish, and the median value of the deviations is positive.
- Short entry: The SuperTrend turns bullish, and the median value is negative.
Similarly, trades are exited when the SuperTrend flips direction.
* The SuperTrend Toolkit is made by @EliCobra
█ Trade Direction
The strategy allows users to specify the desired trade direction:
- Long: Only long positions will be taken.
- Short: Only short positions will be taken.
- Both: Both long and short positions are allowed based on the conditions.
This flexibility allows the strategy to adapt to different market conditions and trading styles, whether you're looking to buy low and sell high, or sell high and buy low.
█ Usage
This strategy can be applied across various asset classes, including stocks, cryptocurrencies, and forex. The primary use case is to take advantage of market volatility by using a flexible moving average and multiple take-profit levels to capture profits incrementally as the market moves in your favor.
How to Use:
1. Configure the Inputs: Start by adjusting the **Indicator Length**, **Starting Factor**, and **Increment Factor** to suit your chosen asset. The defaults work well for most markets, but fine-tuning them can improve performance.
2. Set the Take Profit Levels: Adjust the three **TP levels** and their corresponding **percentages** based on your risk tolerance and the expected volatility of the market.
3. Monitor the Strategy: The SuperTrend and the FlexiMA variance tracker will provide entry and exit signals, automatically managing the positions and taking profits at the pre-set levels.
█ Default Settings
The default settings for the strategy are configured to provide a balanced approach that works across different market conditions:
Indicator Length (10):
This controls the base length for the moving average. A lower length makes the moving average more responsive to price changes, while a higher length smooths out fluctuations, making the strategy less sensitive to short-term price movements.
Starting Factor (1.0):
This determines the initial multiplier applied to the moving average length. A higher starting factor will increase the average length, making it slower to react to price changes.
Increment Factor (1.0):
This increases the moving average length in each iteration. A larger increment factor creates a wider range of moving average lengths, allowing the strategy to track both short-term and long-term trends simultaneously.
Normalization Method ('None'):
Three methods of normalization can be applied to the deviations:
- None: No normalization applied, using raw deviations.
- Max-Min: Normalizes based on the range between the maximum and minimum deviations.
- Absolute Sum: Normalizes based on the total sum of absolute deviations.
Take Profit Levels:
- TP1 (2%): A quick exit to capture small price movements.
- TP2 (8%): A medium-term profit target for stronger trends.
- TP3 (18%): A long-term target for strong price moves.
Take Profit Percentages:
- TP Percent 1 (30%): Exits 30% of the position at TP1.
- TP Percent 2 (20%): Exits 20% of the position at TP2.
- TP Percent 3 (15%): Exits 15% of the position at TP3.
Effect of Variables on Performance:
- Short Indicator Lengths: More responsive to price changes but prone to false signals.
- Higher Starting Factor: Slows down the response, useful for longer-term trend following.
- Higher Increment Factor: Widens the variability in moving average lengths, making the strategy adapt to both short-term and long-term price trends.
- Aggressive Take Profit Levels: Allows for quick profit-taking in volatile markets but may exit positions prematurely in strong trends.
The default configuration offers a moderate balance between short-term responsiveness and long-term trend capturing, suitable for most traders. However, users can adjust these variables to optimize performance based on market conditions and personal preferences.
Heikin Ashi RSI + OTT [Erebor]Relative Strength Index (RSI)
The Relative Strength Index (RSI) is a popular momentum oscillator used in technical analysis to measure the speed and change of price movements. Developed by J. Welles Wilder, the RSI is calculated using the average gains and losses over a specified period, typically 14 days. Here's how it works:
Description and Calculation:
1. Average Gain and Average Loss Calculation:
- Calculate the average gain and average loss over the chosen period (e.g., 14 days).
- The average gain is the sum of gains divided by the period, and the average loss is the sum of losses divided by the period.
2. Relative Strength (RS) Calculation:
- The relative strength is the ratio of average gain to average loss.
The RSI oscillates between 0 and 100. Traditionally, an RSI above 70 indicates overbought conditions, suggesting a potential sell signal, while an RSI below 30 suggests oversold conditions, indicating a potential buy signal.
Pros of RSI:
- Identifying Overbought and Oversold Conditions: RSI helps traders identify potential reversal points in the market due to overbought or oversold conditions.
- Confirmation Tool: RSI can be used in conjunction with other technical indicators or chart patterns to confirm signals, enhancing the reliability of trading decisions.
- Versatility: RSI can be applied to various timeframes, from intraday to long-term charts, making it adaptable to different trading styles.
Cons of RSI:
- Whipsaws: In ranging markets, RSI can generate false signals, leading to whipsaws (rapid price movements followed by a reversal).
- Not Always Accurate: RSI may give false signals, especially in strongly trending markets where overbought or oversold conditions persist for extended periods.
- Subjectivity: Interpretation of RSI levels (e.g., 70 for overbought, 30 for oversold) is somewhat subjective and can vary depending on market conditions and individual preferences.
Checking RSIs in Different Periods:
Traders often use multiple timeframes to analyze RSI for a more comprehensive view:
- Fast RSI (e.g., 8-period): Provides more sensitive signals, suitable for short-term trading and quick decision-making.
- Slow RSI (e.g., 32-period): Offers a smoother representation of price movements, useful for identifying longer-term trends and reducing noise.
By comparing RSI readings across different periods, traders can gain insights into the momentum and strength of price movements over various timeframes, helping them make more informed trading decisions. Additionally, divergence between fast and slow RSI readings may signal potential trend reversals or continuation patterns.
Heikin Ashi Candles
Let's consider a modification to the traditional “Heikin Ashi Candles” where we introduce a new parameter: the period of calculation. The traditional HA candles are derived from the open 01, high 00 low 00, and close 00 prices of the underlying asset.
Now, let's introduce a new parameter, period, which will determine how many periods are considered in the calculation of the HA candles. This period parameter will affect the smoothing and responsiveness of the resulting candles.
In this modification, instead of considering just the current period, we're averaging or aggregating the prices over a specified number of periods . This will result in candles that reflect a longer-term trend or sentiment, depending on the chosen period value.
For example, if period is set to 1, it would essentially be the same as traditional Heikin Ashi candles. However, if period is set to a higher value, say 5, each candle will represent the average price movement over the last 5 periods, providing a smoother representation of the trend but potentially with delayed signals compared to lower period values.
Traders can adjust the period parameter based on their trading style, the timeframe they're analyzing, and the level of smoothing or responsiveness they prefer in their candlestick patterns.
Optimized Trend Tracker
The "Optimized Trend Tracker" is a proprietary trading indicator developed by TradingView user ANIL ÖZEKŞİ. It is designed to identify and track trends in financial markets efficiently. The indicator attempts to smooth out price fluctuations and provide clear signals for trend direction.
The Optimized Trend Tracker uses a combination of moving averages and adaptive filters to detect trends. It aims to reduce lag and noise typically associated with traditional moving averages, thereby providing more timely and accurate signals.
Some of the key features and applications of the OTT include:
• Trend Identification: The indicator helps traders identify the direction of the prevailing trend in a market. It distinguishes between uptrends, downtrends, and sideways consolidations.
• Entry and Exit Signals: The OTT generates buy and sell signals based on crossovers and direction changes of the trend. Traders can use these signals to time their entries and exits in the market.
• Trend Strength: It also provides insights into the strength of the trend by analyzing the slope and momentum of price movements. This information can help traders assess the conviction behind the trend and adjust their trading strategies accordingly.
• Filter Noise: By employing adaptive filters, the indicator aims to filter out market noise and false signals, thereby enhancing the reliability of trend identification.
• Customization: Traders can customize the parameters of the OTT to suit their specific trading preferences and market conditions. This flexibility allows for adaptation to different timeframes and asset classes.
Overall, the OTT can be a valuable tool for traders seeking to capitalize on trending market conditions while minimizing false signals and noise. However, like any trading indicator, it is essential to combine its signals with other forms of analysis and risk management strategies for optimal results. Additionally, traders should thoroughly back-test the indicator and practice using it in a demo environment before applying it to live trading.
The following types of moving average have been included: "SMA", "EMA", "SMMA (RMA)", "WMA", "VWMA", "HMA", "KAMA", "LSMA", "TRAMA", "VAR", "DEMA", "ZLEMA", "TSF", "WWMA". Thanks to the authors.
Thank you for your indicator “Optimized Trend Tracker”. © kivancozbilgic
Thank you for your programming language, indicators and strategies. © TradingView
Kind regards.
© Erebor_GIT
Heikin Ashi TSI and OTT [Erebor]TSI (True Strength Index)
The TSI (True Strength Index) is a momentum-based trading indicator used to identify trend direction, overbought/oversold conditions, and potential trend reversals in financial markets. It was developed by William Blau and first introduced in 1991.
Here's how the TSI indicator is calculated:
• Double Smoothed Momentum (DM): This is calculated by applying double smoothing to the price momentum. First, the single smoothed momentum is calculated by subtracting the smoothed closing price from the current closing price. Then, this single smoothed momentum is smoothed again using an additional smoothing period.
• Absolute Smoothed Momentum (ASM): This is calculated by applying smoothing to the absolute value of the price momentum. Similar to DM, ASM applies a smoothing period to the absolute value of the difference between the current closing price and the smoothed closing price.
• TSI Calculation: The TSI is calculated as the ratio of DM to ASM, multiplied by 100 to express it as a percentage. Mathematically, TSI = (DM / ASM) * 100.
The TSI indicator oscillates around a centerline (typically at zero), with positive values indicating bullish momentum and negative values indicating bearish momentum. Traders often look for crossovers of the TSI above or below the centerline to identify shifts in momentum and potential trend reversals. Additionally, divergences between price and the TSI can signal weakening trends and potential reversal points.
Pros of the TSI indicator:
• Smoothed Momentum: The TSI uses double smoothing techniques, which helps to reduce noise and generate smoother signals compared to other momentum indicators.
• Versatility: The TSI can be applied to various financial instruments and timeframes, making it suitable for both short-term and long-term trading strategies.
• Trend Identification: The TSI is effective in identifying the direction and strength of market trends, helping traders to align their positions with the prevailing market sentiment.
Cons of the TSI indicator:
• Lagging Indicator: Like many momentum indicators, the TSI is a lagging indicator, meaning it may not provide timely signals for entering or exiting trades during rapidly changing market conditions.
• False Signals: Despite its smoothing techniques, the TSI can still produce false signals, especially during periods of low volatility or ranging markets.
• Subjectivity: Interpretation of the TSI signals may vary among traders, leading to subjective analysis and potential inconsistencies in trading decisions.
Overall, the TSI indicator can be a valuable tool for traders when used in conjunction with other technical analysis tools and risk management strategies. It can help traders identify potential trading opportunities and confirm trends, but it's essential to consider its limitations and incorporate additional analysis for more robust trading decisions.
Heikin Ashi Candles
Let's consider a modification to the traditional “Heikin Ashi Candles” where we introduce a new parameter: the period of calculation. The traditional HA candles are derived from the open , high low , and close prices of the underlying asset.
Now, let's introduce a new parameter, period, which will determine how many periods are considered in the calculation of the HA candles. This period parameter will affect the smoothing and responsiveness of the resulting candles.
In this modification, instead of considering just the current period, we're averaging or aggregating the prices over a specified number of periods . This will result in candles that reflect a longer-term trend or sentiment, depending on the chosen period value.
For example, if period is set to 1, it would essentially be the same as traditional Heikin Ashi candles. However, if period is set to a higher value, say 5, each candle will represent the average price movement over the last 5 periods, providing a smoother representation of the trend but potentially with delayed signals compared to lower period values.
Traders can adjust the period parameter based on their trading style, the timeframe they're analyzing, and the level of smoothing or responsiveness they prefer in their candlestick patterns.
Optimized Trend Tracker
The "Optimized Trend Tracker" is a proprietary trading indicator developed by TradingView user ANIL ÖZEKŞİ. It is designed to identify and track trends in financial markets efficiently. The indicator attempts to smooth out price fluctuations and provide clear signals for trend direction.
The Optimized Trend Tracker uses a combination of moving averages and adaptive filters to detect trends. It aims to reduce lag and noise typically associated with traditional moving averages, thereby providing more timely and accurate signals.
Some of the key features and applications of the OTT include:
• Trend Identification: The indicator helps traders identify the direction of the prevailing trend in a market. It distinguishes between uptrends, downtrends, and sideways consolidations.
• Entry and Exit Signals: The OTT generates buy and sell signals based on crossovers and direction changes of the trend. Traders can use these signals to time their entries and exits in the market.
• Trend Strength: It also provides insights into the strength of the trend by analyzing the slope and momentum of price movements. This information can help traders assess the conviction behind the trend and adjust their trading strategies accordingly.
• Filter Noise: By employing adaptive filters, the indicator aims to filter out market noise and false signals, thereby enhancing the reliability of trend identification.
• Customization: Traders can customize the parameters of the OTT to suit their specific trading preferences and market conditions. This flexibility allows for adaptation to different timeframes and asset classes.
Overall, the OTT can be a valuable tool for traders seeking to capitalize on trending market conditions while minimizing false signals and noise. However, like any trading indicator, it is essential to combine its signals with other forms of analysis and risk management strategies for optimal results. Additionally, traders should thoroughly back-test the indicator and practice using it in a demo environment before applying it to live trading.
The following types of moving average have been included: "SMA", "EMA", "SMMA (RMA)", "WMA", "VWMA", "HMA", "KAMA", "LSMA", "TRAMA", "VAR", "DEMA", "ZLEMA", "TSF", "WWMA". Thanks to the authors.
Thank you for your indicator “Optimized Trend Tracker”. © kivancozbilgic
Thank you for your programming language, indicators and strategies. © TradingView
Kind regards.
© Erebor_GIT
lib_mathLibrary "lib_math"
a collection of functions calculating without history operator to avoid max_bars_back errors
mean(value, reset)
Parameters:
value (float) : series to track
reset (bool) : flag to reset tracking
@return returns average/mean of value since last reset
vwap(value, reset)
Parameters:
value (float) : series to track
reset (bool) : flag to reset tracking
@return returns vwap of value and volume since last reset
variance(value, reset)
Parameters:
value (float) : series to track
reset (bool) : flag to reset tracking
@return returns variance of value since last reset
trend(value, reset)
Parameters:
value (float) : series to track
reset (bool) : flag to reset tracking
@return where slope is the trend direction, correlation is a measurement for how well the values fit to the trendline (positive means ), stddev is how far the values deviate from the trend, x1 would be the time where reset is true and x2 would be the current time
Z Algo (Expo)█ Overview
Z Algo (Expo) is a sophisticated and user-friendly trading tool designed to meet the needs of both novice and seasoned traders. With its real-time signals, trend analysis, and risk management capabilities, this tool can be a valuable addition to any trader's toolkit.
█ Main Features & How to Use
Buy/Sell signals: Z Algo provides real-time buy and sell signals, which assist traders in identifying the most opportune moments to enter or exit a trade.
Strong Buy/Sell signals: In addition to regular buy and sell signals, the tool also offers strong buy and sell signals. These are generated when the market conditions align with a higher probability of a significant price movement.
Sniper Signals: This feature is specifically designed for contrarian traders who look to exploit temporary market inefficiencies or take advantage of price reversals. When enabled, Sniper Signals identify potential market turning points, offering traders the opportunity to profit from sharp price fluctuations.
Reversal Cloud: The Reversal Cloud is a unique visual representation of the market's potential trend reversals. It offers traders an easy-to-understand display of changing market dynamics, enabling them to quickly identify potential entry and exit points based on trend reversals.
Support and Resistance (S/R) Levels: Z Algo automatically calculates and displays support and resistance levels on the chart. These are crucial price points where buying or selling pressure may change, providing valuable insights for traders looking to enter or exit positions based on these levels.
Trend Tracker: This feature helps traders monitor and analyze the prevailing market trend. Trend Tracker identifies and highlights the direction of the trend, allowing traders to align their strategies accordingly and increase their chances of success.
Trend Background Color: To improve the user experience and simplify the interpretation of market data, Z Algo changes the chart's background color based on the identified trend direction. This visual cue makes it easier for traders to recognize bullish or bearish trends at a glance.
Bar Coloring: In addition to the trend background color, Z Algo also provides bar coloring for both contrarian and trend bars. This feature helps traders visualize price movements and trends more effectively, enabling them to identify potential opportunities for both trend-following and contrarian trading strategies.
Risk Management: The tool incorporates risk management features that help traders to protect their capital and maximize potential returns. Users can set stop-loss and take-profit levels, as well as customize their risk exposure according to their individual preferences and trading style.
█ Calculations
█ What are the Buy/Sell signals based on?
The Buy/Sell signals use volatility and price range with a weighting function that can help reduce lag and respond faster to recent price changes. The function gives more weight to the most recent volatility values and absolute price changes, making the algorithm more responsive to changes in volatility and price moves. Using a model that factors in both price changes and volatility gives a bias toward more recent data. This advanced approach to trading signal generation incorporates the concepts of trend following and mean reversion while accounting for changing market volatility.
Traditional systems often use fixed parameters, which may not adapt quickly to changes in market conditions. This can lead to late entries or exits, potentially reducing profitability or increasing risk. Our algorithm uses a weighting function to give more importance to recent volatility values, and absolute price changes can make these signals more responsive. This is especially useful in dynamic markets where price swings and volatility can change rapidly.
Adapting to Recent Price Changes: Markets can often exhibit trending behavior over certain periods. By weighing recent price changes more heavily, the model can quickly identify and react to the emergence of new trends. This can lead to earlier entries in a new trend, potentially increasing profitability.
Adapting to Recent Volatility Changes: Markets can shift from low to high volatility regimes (and vice versa) quite rapidly. A model that gives more weight to recent volatility can adapt its signals to these changing conditions. For example, in high volatility conditions, the model might generate fewer signals to reduce the risk of false breakouts. Conversely, in low volatility conditions, the model might generate more signals to capitalize on trending behavior.
Adaptive Trading: The approach inherently leads to an adaptive trading system. Rather than using fixed parameters, the system can adjust its behavior based on recent market activity. This can lead to a more robust system that performs well across different market conditions.
█ What are the Sniper signals (contrarian signals) based on?
Our contrarian signals are based on deviation from the expected value. The algorithm quantifies the amount of variation or dispersion in a set of values. Non-expected values are the fundamental core of the signal generation process.
█ Reversal Cloud Calculation
The cloud uses the information of how much the price fluctuates over a specific time period and updates its equilibrium value automatically at new price changes. The price changes are used to predict what will happen next, and the band adapts accordingly. The algorithm assumes that past price changes can predict future market behavior.
█ Support and Resistance (S/R) Levels Calculation
The support and resistance levels use historical overbought and oversold levels combined with a weighted atr function to predict future support and resistance areas. This calculation can potentially give traders a great heads-up on where the price may find support and resistance at.
█ Trend & Bar coloring Calculation
Trend calculations with dynamic events are key in ever-changing markets. The main idea of the calculation method is to find the mathematical function that best fits the data points, by minimizing the sum of the squares of the vertical distances of each data point from the equilibrium. The outcome is a function that finds the best mathematical description of that data. Hence the trend output may vary depending on the asset and timeframe. A unique approach where the same settings can give different results.
█ Risk Management Calculation
The risk management system is not unique in itself and contains everything that can help traders to manage their risk, such as different types of stop losses, Take Profits calculations.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
FlashTrade 20 Asset ScreenerThe FlashTrade 20 Asset Screener is a powerful screening tool written in Pinescript and designed for use in Tradingview. It simultaneously monitors a combination of seven (7) lagging and three (3) leading indicators for twenty (20) assets, such as; stocks, cryptocurrencies, or forex pairs.
The screener sends summarized numeric data as an alert to external programs that specialize in automated trading. This proprietary technology developed by the algorithmic trading firm known as FlashTrade.AI is now integrated with the rules-based trading platform TradeLab.AI.
The lagging indicators tracked by the screener are as follows:
1. The 8 Period Exponential Moving Average (8EMA): It determines whether it is over or under the 21 Period Exponential Moving Average (21EMA).
2. Two Closes of the 8 Period Exponential Average (8EMA): This confirms a trend as either bullish or bearish when it occurs over or under the 21 Period Exponential Moving Average (21EMA).
3. Ichimoku Cloud: This indicator identifies whether the price is above or below the cloud, indicating bullish or bearish trends.
4. Ichimoku Cloud: Conversion Line Above Base or Conversion Line Below Base: This measures the trend strength based on the distance between the conversion line and the base line.
5. Ichimoku Cloud: Lag Line Above Price or Lag Line Below Price: This tracks the lag line's position relative to the current price to confirm trend direction.
6. Ichimoku Cloud: Leading Cloud Green or Leading Cloud Red: This identifies the trend based on the color of the leading cloud.
7. MACD: This oscillator tracks the difference between two exponential moving averages and helps identify bullish or bearish momentum in the market.
The screener also tracks three leading indicators that primarily measure trading volume and momentum. These leading indicators are:
1. The Relative Strength Index (RSI): This oscillator measures the speed and change of price movements to identify overbought or oversold conditions in the market.
2. The Stochastic: This oscillator measures the momentum of price movements and helps identify potential trend reversals in the market.
3. The relative Vigor Index (RVGI): This indicator measures the strength of price movements by comparing the closing price to the trading range and helps identify trend reversals.
Overall, the FlashTrade 20 Asset Screener is a powerful tool for traders looking to automate their trading strategies. By monitoring multiple indicators for multiple assets simultaneously, it can identify trends and capitalize on opportunities when they present themselves.
Portfolio_Tracking_TRThis is a portfolio tracker that will track individual, overall and daily profit/loss for up. You can set the size of your buys and price of your buys for accurate, up to date profit and loss data right on your chart. It works on all markets and timeframes.
Next we get into setting up your , order size and price. Each ticker lets you set which stock you bought, then set how much you purchased and then what price you purchased them at.
FEATURES
Top Section
The portfolio tracker has 2 sections. The top section shows each ticker in your portfolio individually with the following data:
- Ticker Name
- Weight of that asset compared to your total portfolio in %
- Current value of that position in TL
- Profit or loss value from purchase price in %
- Todays change in value from yesterday’s close in %
Bottom Section
The bottom section of the tracker will give you info for your portfolio as a whole. It has the following data:
- Total cost of your entire portfolio in TL
- Current value of your entire portfolio in TL
- Current profit or loss of your entire portfolio in TL
- Current profit or loss of your entire portfolio in %
- Todays change of your entire portfolio value compared to yesterday’s close in %
This indicator was compiled from FriendOfTheTrend's indicator named Portfolio Tracker For Stocks & Crypto.
Prophit Ninja: Hidden ScrollStay ahead of the markets moves with "Prophit Ninja: Hidden Scroll".
Our legendary senseis have mastered the arts of wielding the Katana and Shuriken over many decades of focused practice and distilled their systems and techniques down to their most vital form- storing their knowledge in this ancient scroll for easy adoption by any ninja practiced enough to be able to decipher it.
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█ INTERPRETATION
Each sub-indicator in this package can be used as a confirmation tool to check your bias and give you a more informed decision as they all take into account every reading shown and not shown being calculated across all Prophit Ninja packages. A sentiment rating below the candle shows bullish bias while a green color emphasizes bullish strength- a sentiment rating above the candle shows bearish bias while a red color emphasizes bearish strength- gold color signifies a strong turn in the market while grey/dark grey is a weak reading. A green trend sensei reading is bullish- while a red trend sensei reading is bearish. A green bull trade sensei label signifies a possible bullish trade set up, while a red bear label trade sensei signifies a possible bearish trade set up. Stat sensei gives you tick by tick multi-time frame readings to always keep you aware of the exact environment you're in. Lastly risk sensei will give you the most optimal least risk trade set-up based on user defined variables and give you tick by tick readings of your trade status. This can be used as a standalone decision-maker, or used in confluence with other indicator packages in our Prophit Ninja bundle to get higher precision.
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█ OVERVIEW
1 — Sentiment Sensei: A toggle-able tick by tick rating system (0-100%) for each candle based on over 100 individual readings .
2 — Trend Sensei: A toggle-able background coloring that easily shows you the trend bias behind the moves.
3 — Trade Sensei: A toggle-able trade finder that finds confluent trade set-ups to give you the upper hand.
4 — Stat Sensei: A toggle-able multi-time frame candle progress tracker with a built in trend bias and price/volume/momentum change/ratio trackers.
5 — Risk Sensei: A toggle-able risk manager with two variations of auto profit target zones , three variations of trailing stop losses , a win/loss tracker , trade duration timer and all the information you need to stay updated with the status of your trade at a glance whether long or short.
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█ EASY CUSTOMIZATION
i.imgur.com
With a fully customizable and easy-to-use input menu , this indicator gives you the ability to tailor your trading experience to your needs and see as much (or as little) information as you want to; presented in the manner you deem most viable with the following options in just a few clicks:
Indicator Package- This option allows you to switch between the four display modes available so in any moment you can completely change the metrics you’re reading in just two clicks. This allows you the ability to make decisions based on not only what you’re comfortable with; but also to find confirmation or disagreement with other systems instantly.
Color Theme- There are four color themes available which include original, colorful, monochrome and solid. These not only allow you a quick and easy way to change the colors to suit your style; they also make it so you can challenge your bias in an instant by viewing the data in a completely different way.
Dual Attack Modes- Whether you’re a scalper, day trader, swing trader, or investor; this option allows you to see the chart based on four different risk tolerance/time expectancy mentalities for the Katana and Shuriken separately in just two clicks. Investors can see what the scalpers are thinking and vice/versa to broaden their decision making and/or hone in when optimal.
Dual Sharpness Levels- This algorithm allows the user to display the data on five different smoothness levels for the Katana and Shuriken separately without suffering the inherent lag that accompanies most other indicators. Whether you like to see every tick of a choppy movement, or filter out the false signals into smooth readings, you can do so at any moment.
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█ RISK SENSEI EXAMPLE
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█ PRE-BUILT ALERTS
With Prophit Ninja: Hidden Scroll's built-in alerts you can enable alerts for any piece of the Hidden Scrollin just a few clicks. These alerts are way more specific and optimized than you can possibly achieve with the custom alert settings. Each checking for multiple possible activation triggers instead of one and populating the message field automatically so you can just click create.
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As you can see; this ancient scroll has the ability to adapt to any reader or adversary and give those in control of its power the upper hand. Any mode of battle, any opponent, any circumstance- 'Prophit Ninja: Hidden Scroll' was polished by our finest artists to inform any reader and make sure they know when to attack, defend or simply allow the fight to play out by its easy-to-read coloring system. As long as you learn the techniques you'll have a much better chance of making the right decision than when you didn't.
This state-of-the-art tool is great for experienced traders, those who just started learning to trade, or anyone in between- truly made to suit the needs of any trader, in any moment, with any mindset (along with the other indicators in our Prophit Ninja bundle) you'll notice an immediate improvement in your market dexterity after learning it.
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*everything displayed is part of the Prophit Ninja indicator bundle; this is an otherwise blank chart*
[blackcat] L5 Whale Jump Screener 12 AlertsLinkage Authorization:
When you obtain any one of the following technical indicators authorization, the other one will automatically obtain a free authorization for the same length of time:
1. L5 Whale Jump Screener 25 NoAlerts
2. L5 Whale Jump Screener 12 Alerts
Discount Authorization:
While you are authorized for any of the following technical indicators, this indicator will only need to pay 200TVC (not per month) but you obtain the authorization length as long as your longest one among all invited-only indicators .
1. L5 Whales Jump Out of Ocean X
2. L5 Zen Master
Level: 5
Background:
L5 Whale Jump Screener 12 Alerts is a screeener which is based on principle of L5 Whales Jump Out of Ocean X, but it has its own scheme to work as a screener with alerts, which can track 12 trading pairs at the same time. With this indicator, you can track target in your list with remote alerts from TV to your mobile or emails.
At beginning, I want to incorporate this function to "L5 Whale Jump Screener 25 NoAlerts". However, I found it rather difficult to make it happen. One reason is that adding alerts will further increase computing power of it so that TV will not be functional for overloaded indicators. The only way to make a screen plus alerts happen is to reduce the number of targets allowed in the screener until TV rules are in compliance. The other reason is that I found alerts were conflicting with screener function in TV system during my testing. Because if you put many trading pairs that are highly correlated into inputs of the screener indicator. Huge amount of alerts may be produced at the same time, and TV system has its own protection scheme. If too many alerts happened at the same time, it will block and stop the alert scheme immediately. Therefore, I build this one for anyone who need alert function. But, remember, make input tikerids as NOT correlated as possible to prevent TV to shut down your alert for this indicator.
Function:
By tracking multiple targets with alerts, you will own the capability to tracking multiple markets. This ability will let you know the specific situation of the unconnected market and the trading targets in time in the rotating transaction. The alert function will remind you of the current status of multiple markets via mobile phones and emails.
Inputs:
12 tickerids for your customization
Key Signal:
Long Whales / Banker Pump--> fuchsia color area with 0% transparency
Close Long Whales / Close Banker Pump--> red color area with 0% transparency
Short Whales / Banker Dump --> yellow color area with 0% transparency
Close Short Whales / Close Banker Dump --> green color area with 0% transparency
Long Waves Start--> fuchsia color area with 50% transparency
Short Waves Start --> yellow color area with 50% transparency
No Whale or Wave Signal --> gray color rea with 50% transparency
Pros and Cons:
ONLY suitable for discretionary trading, and does NOT support automatic trading system/bots with alerts.
Intuitive and effective, the output signal is more reliable after multi-indicator resonance
For who does not alert function but track more targets, you can choose anther indicator: L5 Whale Jump Screener 25 NoAlerts.
Why 12 Targets are Supported?
From the principle of TV principle, it should be possible to track up to 40 targets at the same time. However, TV has another condition that restricts server computing resources. When the two condition work at the same time, for the whale jump algorithm, the number of targets it can track at the same time will drop from 40 to about 26~27! In addition, this indicator needs to support the display function from the daily time frame to the 1min time frame. Therefore, the requirements for computing resources have further deteriorated. In the end, the maximum tracking number I obtained by compromise is 25 to ensure that this indicator can support 1min or second level normal display without report an error. Based on above fact, adding alerts will further increase computing power needed for this indicator. To prevent TV shutdown this indicator w/ alerts, only 12 tickerids are supported based on this algorithm. Also, due to quite different user scenarios between these two screeners, two versions are published for different group of traders with a linkage authorization schmeme.
Remarks:
My fourth L5 indicator published
Closed-source
Invite-only
Redeem Fee Life Lock Guarantee
Although I take the efforts to inform the script requesters that the best way to promote trading skills is to learn from the open source scripts I released by themself and to improve their PNIE script programming skills, there are still many people asking how to obtain or pay to use BLACKCAT L4/L5 private scripts. In fact, I do not encourage people to use Tradingview Coins ( TVC ) / Cryptocurrency to redeem the right to use BLACKCAT L4/L5 scripts. However, redeeming private script usage rights through TV Coins/ Cryptocurrency may be an effective way to force more people to learn PINE script programming seriously. And then I can concentrate on answering more valuable community questions instead of being overwhelmed by L4/L5 scripting permission reqeusts.
I would like to announce a ‘Redeem Fee Lock Guarantee’ program to further simplify the L4/L5 indicator/strategy utility offering and distinguish itself from the competition. ‘Redeem Fee lock guarantee’ is one of the major initiatives by BLACKCAT as a part of overall value packaging designed to guard BLACKCAT’s followers’ against cost-overruns and operational risks usually borne by them when it comes to PINE script innovation ecosystem. The TVCs redeemed for L4/L5 a follower signs up for with BLACKCAT is their guaranteed lifetime locked in TVC Quantity/ cryptocurrency, with no special conditions, exclusions and fine print whatsoever. Based on this scheme, I can constantly refine, expand, upgrade and improve PINE script publishing to ensure the very best experiences for my followers. The 'Redeem Fee Lock Guarantee' is a step in the direction of rewarding the valuable followers. NOTE: Every L4/L5 script redeeming service is ONLY limited to TVC or Cryptocurrency ("Win$ & Donate w/ This" Addresses displayed on script page) redeeming which the 1st signed up TVC Qty/ equivalent cryptocurrency is the lifetime offered TVC Qty/ equivalent crypto.
How to subscrible this indicator?
The script subscription period only has two options of one month or one year, and its price is floating. The latest price of the script subscription is proportional to the number of likes/agrees this script has already received. Therefore, the price of subscribing to this script shows an increasing trend, and the earliest subscribers can enjoy the price of lifetime lock to this script. As the number of likes / agrees of this script increases, the subscription fee for one month and one year will also increase linearly. Whatever, the first subscription price of the use will be locked for life.
Monthly subscription and annual subscription can be done either by tradingview coins ( TVC ) or by converting into equivalent cryptocurrency at the exchange rate (1TVC=0.01USD) for redeem.
TVC payment needs to pay TVC directly in the comments under this script. Every time I authorize a new user, I will update the latest number of subscribed users and latest price for next subscription under the script comment. If there are any conflicting scenario happened to the rules and my update. My updated price based on the rule will be the final price for next subscription. The following subscribers need to pay the corresponding amount of TVC or cryptocurrency in accordance with the latest number of users and price announced by me in accordance with the rules published.
TVC redemption is the method I strongly recommend, and I hope you can complete the redemption in the comment area of this script. This is like a blockchain structure, each comment is a block, each subscription is a chain, which is conducive to open and transparent publicity and traceability to avoid unnecessary disputes.
Monthly Subscription Charges
500TVC <50 Agrees (A)
50A<850TVC<100A
100A<1000TVC<150A
150A<1350TVC<200A
200A<1500TVC<250A
250A<1850TVC<300A
300A<2000TVC<350A
350A<2350TVC<400A
400A<2500TVC<450A
450A<2850TVC<500A
500A<3000TVC<550A
550A<3350TVC<600A
600A<3500TVC<650A
650A<3850TVC<700A
700A<4000TVC<750A
750A<4350TVC<800A
800A<4500TVC<850A
850A<4850TVC<900A
900A<5000TVC<950A
950A<5350TVC<1000A
1000A<5500TVC<1050A
And so on...
Annual Subscription Charges
5000TVC <50 Agrees (A)
50A<8500TVC<100A
100A<10000TVC<150A
150A<13500TVC<200A
200A<15000TVC<250A
250A<18500TVC<300A
300A<20000TVC<300A
350A<23500TVC<400A
400A<25000TVC<450A
500A<28500TVC<550A
500A<30000TVC<550A
550A<33500TVC<600A
600A<35000TVC<650A
650A<38500TVC<700A
700A<40000TVC<750A
750A<43500TVC<800A
800A<45000TVC<850A
850A<48500TVC<900A
900A<50000TVC<950A
950A<53500TVC<1000A
1000A<55000TVC<1050A
And so on...
Signalgo BBSignalgo BB: Technical Overview
Signalgo BB is a Bollinger Bands (BB) indicator for TradingView, designed to provide a multi-dimensional view of volatility, trend, and trading opportunities within a single overlay. Below is a detailed, impartial explanation of its workings, inputs, and trading logic.
Core Mechanics
Signalgo BB operates on the principle of nested volatility bands and moving averages. It calculates:
Fast & Slow Bands: Two sets of Bollinger Bands (BB), using different moving average types (EMA or SMA), lengths, and standard deviation multipliers.
Volatility Cloud: A dynamic visual layer indicating when price is inside both, one, or neither band.
Filtering: A short-term RSI is used to confirm trend direction and filter out weak signals.
Inputs & Components
MA Type: Choice between EMA, SMA for both fast and slow MA calculations.
Fast/Slow Lengths
Fast/Slow Deviations
RSI Length/Thresholds
Show Cloud: Toggle for the visual volatility cloud.
Signal Mode: Band Break.
Prevent Repeated Signals: Option to suppress duplicate signals in the same direction.
TP/SL & Trailing Logic: Advanced, automated trade management with ATR-based distances, three take-profit levels, and a dynamic trailing stop.
Signal Generation
Band Break: Triggers when price crosses the fast BB band.
RSI Filter: All signals require RSI confirmation.
Prevent Repeated Signals: Optionally only marks the first breakout in a series to reduce overtrading.
Entry/Exit Marks: Labels are plotted for visual clarity, and signals can trigger TradingView alerts.
Trade Management
Stop Loss (SL): Set at a multiple of ATR from the entry price, adapting to current volatility.
Take Profits (TP1, TP2, TP3): Three levels scaled by risk-reward ratios, supporting partial exits.
Trailing Stop: After the first TP is hit, SL moves to breakeven and then trails at a user-defined multiple of ATR, locking in further gains.
Event Markers: Each TP, SL, and trailing stop event is labeled on the chart.
Direction State: The indicator tracks active trades, allowing for only one open position per direction at a time.
Cloud Visualization: The background color changes depending on whether price is inside both, one, or no bands, making it easier to visualize market conditions.
Multiple Signal Logics: It doesn’t just look at breakouts, it includes cloud crossings, mean reversion, and a choice of how to combine them.
Rigorous Filtering: Signals require RSI trend confirmation, reducing false entries during weak phases.
Automated Trade Management: Built-in TP/SL and trailing logic, dynamically adapting to volatility.
Signal Suppression: Option to prevent repeated signals, reducing noise and overtrading.
Customizable MA Types: Supports EMA, SMA, and a selection algorithm for future expansion.
Trading Strategy Application
Volatility Regimes: The cloud’s color indicates whether price is inside, between, or outside the bands, helping traders identify trending, ranging, or breakout conditions.
Signals: entries can be based on breakouts filtered by RSI trend strength.
Risk Management: All active trades are managed by TP/SL logic, trailing stops after TP1, and visual feedback on exits.
Visual Alerts: Both signals and TP/SL events are marked on the chart for manual review.
Flexibility: Users can switch modes or suppress repeated signals as needed, depending on trading style.
Practical Usage
Intraday to Swing: Suitable for timeframes from minutes to days, depending on the MA periods and volatility profile.
Manual or Automated: The visual overlay and alerts support both manual trading and automated strategies.
Education & Review: The colored cloud and event markers make it easy to review past price action and learn from signals.
What separates this indicator from traditional ones:
1. Dual Bollinger Bands
Traditional: Most indicators use a single set of Bollinger Bands (two standard deviations above/below a moving average).
Signalgo BB: Implements two sets of bands—a "fast" set (shorter moving average, narrower deviation) and a "slow" set (longer moving average, wider deviation). This provides both immediate (fast) and broader context (slow) for volatility and price action.
2. Volatility Cloud Visualization
Traditional: Standard Bollinger Bands display as two lines, with the area between sometimes shaded as a "band" but without dynamic color changes.
Signalgo BB: The background is colored differently depending on whether price is within both, one, or neither band, offering a visual "cloud" that distinguishes trending, ranging, or breakout regimes at a glance.
3. RSI Filtering
Traditional: Many indicators either don’t filter signals, or if they do, it’s not always configurable.
Signalgo BB: Adds an optional RSI filter, requiring signals to be confirmed by short-term RSI overbought/oversold conditions. This reduces false signals in range-bound or low-trend environments.
4. Prevention of Repeated Signals
Traditional: Most indicators will keep firing signals as long as conditions are met, which can cause overtrading.
Signalgo BB: Offers a user-toggleable option to suppress repeated signals in the same direction until the opposite signal occurs. This reduces noise for discretionary traders.
5. Integrated Trade Management
Traditional: Manual or separate coding is required for stop-loss, take-profit, and trailing stop logic.
Signalgo BB: Builds in dynamic, ATR-based stop-loss; up to three take-profit levels and a trailing stop that activates after the first TP is hit. All levels are visually plotted on the chart, and events (TP/SL hits) are labeled, aiding strategy review and automation.
6. Event Labeling and Alerts
Traditional: Alerts may exist for entry/exit, but rarely for each TP/SL event.
Signalgo BB: Places labels for every entry, exit, and TP/SL event. It also provides TradingView alertconditions for each event, enabling automated notifications or integration with trading bots.
7. Directional State Tracking
Traditional: Indicators typically do not track the "state" of a trade (e.g., active long/short/flat) beyond simple signals.
Signalgo BB: Maintains persistent variables for entry price, SL, TP, trailing stop, and trade direction, ensuring only one active signal per direction. This prevents overlapping entries and mimics realistic trade management.
8. User Customization
Traditional: Default settings are often hardcoded, or customization is limited.
Signalgo BB: Offers extensive user inputs for MA type and TP/SL logic—making the tool adaptable to many strategies and timeframes.
aiTrendview.com Option Calculator📊 aiTrendview Option Calculator - Complete Feature Guide
🎯 Overview
The aiTrendview Option Calculator is a comprehensive, professional-grade options trading dashboard that integrates live market data with advanced Black-Scholes pricing models and intelligent strategy recommendations. It transforms complex options analysis into an intuitive, visual interface for both novice and professional traders.
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🎛️ Dashboard Settings & Customization
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📋 Option Inputs - The Foundation
Strike Price (105 in example)
• Function: The contract's exercise price
• Analysis Impact: Determines moneyness (ITM/OTM status)
• Risk Assessment: Affects delta, probability of profit, and breakeven calculations
• Strategy Selection: Critical for spread strategies and risk/reward optimization
Days to Expiry (30 in example)
• Function: Time until option expiration
• Analysis Impact: Drives time decay (theta) calculations
• Risk Assessment: More days = higher time value but slower decay
• Strategy Selection: Short-term strategies favor <30 days, long-term >45 days
Risk Free Rate (5% in example)
• Function: Current treasury rate for theoretical pricing
• Analysis Impact: Affects all Greeks calculations and fair value pricing
• Risk Assessment: Higher rates increase call values, decrease put values
• Strategy Selection: Impacts carry strategies and early exercise decisions
Implied Volatility (25% in example)
• Function: Market's expectation of future price movement
• Analysis Impact: Primary driver of option premium
• Risk Assessment: High IV = expensive options, low IV = cheap options
• Strategy Selection: Determines whether to buy or sell premium
Option Type (Call/Put)
• Function: Directional bias selection
• Analysis Impact: Reverses delta sign and profit zones
• Risk Assessment: Calls profit from upward moves, puts from downward moves
• Strategy Selection: Foundation for all directional and neutral strategies
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📊 Live Market Data Integration
Real-Time Price Feed
• Current Underlying Price: Live market price with percentage change
• Volume Analysis: Current volume vs. 20-day average (shows as multiplier like "1.5x")
• Price Momentum: Tracks intraday price movements
• Volatility Assessment: Uses VIX data or ATR-based calculations
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🔢 The Greeks - Risk Metrics
Delta (Price Sensitivity)
• Range: -1.00 to +1.00
• Call Delta: 0 to +1 (positive exposure)
• Put Delta: -1 to 0 (negative exposure)
• Trading Use: Hedge ratio, directional exposure measurement
• Progress Bar: Visual representation of sensitivity strength
Gamma (Delta Acceleration)
• Function: Rate of delta change
• Peak: Highest at-the-money
• Trading Use: Risk management for large moves
• Display: Multiplied by 1000 for readability
Theta (Time Decay)
• Function: Daily premium erosion
• Always Negative: For long positions
• Trading Use: Time-based strategy selection
• Critical: Accelerates in final 30 days
Vega (Volatility Sensitivity)
• Function: Premium change per 1% IV change
• Trading Use: Volatility play strategies
• Risk Management: IV crush protection
• Strategy Selection: Buy low IV, sell high IV
Rho (Interest Rate Sensitivity)
• Function: Premium change per 1% rate change
• Less Critical: For short-term options
• Important: For LEAPS and rate-sensitive underlyings
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📈 Market Analysis Section
Sentiment Analysis
• Bullish: PCR < 0.8 (more calls than puts)
• Bearish: PCR > 1.2 (more puts than calls)
• Neutral: PCR 0.8-1.2 (balanced activity)
• Calculation: Based on volume ratio and RSI momentum
Volume Analysis
• Current vs. Average: Spots unusual activity
• Ratio Display: Shows volume multiplier (e.g., "2.3x normal")
• Trading Signal: High volume confirms moves, low volume suggests consolidation
Risk Level Assessment
• Low: IV < 25% (cheap options)
• Medium: IV 25-40% (fairly valued)
• High: IV > 40% (expensive options)
• Color Coded: Green/Yellow/Red for quick identification
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⚡ Strategy Recommendation Engine
Intelligent Analysis
The calculator analyzes 6 core strategies based on current market conditions:
1. Long Call: Best for bullish sentiment + low IV
2. Short Put: Best for bullish sentiment + high IV
3. Long Put: Best for bearish sentiment + low IV
4. Bull Call Spread: Best for moderate bullish moves
5. Long Straddle: Best for high volatility expected + low IV
6. Iron Butterfly: Best for neutral sentiment + high IV + low expected move
Scoring System
• Confidence Score: 0-100% based on market conditions
• Color Coding: Green (80%+), Yellow (60-80%), Red (<60%)
• Dynamic Updates: Recalculates with every price change
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📊 Progress Bar Visualizations
Delta Strength: Visual representation of directional exposure
Time Decay: Days remaining until expiration
IV Level: Current implied volatility relative to extremes
Volume Activity: Current volume vs. historical average
Profit Probability: Calculated odds of profitable outcome
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🎯 How to Achieve Risk-Optimized Trading
Step 1: Market Analysis
1. Check Sentiment: Is market bullish, bearish, or neutral?
2. Assess IV Level: Are options cheap, fair, or expensive?
3. Volume Confirmation: Is there institutional interest?
4. Time Frame: How many days until expiration?
Step 2: Strategy Selection
The calculator automatically recommends the highest probability strategy based on:
• Current market sentiment
• IV environment
• Expected move percentage
• Time to expiration
• Risk/reward optimization
Step 3: Risk Management Setup
For Long Strategies (Buying Options)
• Best When: IV rank is low (green), high probability score
• Risk Control: Maximum loss is premium paid
• Time Management: Avoid last 2 weeks before expiration
• Profit Taking: Close at 50% profit or 25% time decay
For Short Strategies (Selling Options)
• Best When: IV rank is high (red), neutral sentiment
• Risk Control: Use defined risk spreads
• Time Advantage: Target last 45 days
• Profit Taking: Close at 50% max profit
For Neutral Strategies
• Best When: Low expected move + high IV
• Risk Management: Iron butterflies and condors
• Time Decay: Benefits from theta decay
• Adjustment: Have roll/adjust plan ready
Step 4: Execution Guidelines
High Confidence Trades (80%+ Score)
• Position Size: Standard risk allocation
• Entry: Immediate execution
• Management: Hold to target or 21 DTE
Medium Confidence Trades (60-80% Score)
• Position Size: Reduced allocation
• Entry: Wait for better setup or confirmation
• Management: Tighter profit/loss targets
Low Confidence Trades (<60% Score)
• Action: Avoid or wait for better conditions
• Alternative: Consider opposite strategy
• Patience: Wait for higher probability setup
________________________________________
🔍 Real-Time Risk Monitoring
Live Greeks Tracking
• Delta Neutral: Maintain overall portfolio delta near zero
• Gamma Risk: Monitor acceleration risk on large moves
• Theta Decay: Track daily time value erosion
• Vega Exposure: Hedge volatility risk when needed
Probability Metrics
• Profit Probability: Statistical odds of profitable outcome
• Expected Move: Price range for 68% probability
• Breakeven Analysis: Exact price needed for profitability
• Time Value: Separation of intrinsic vs. extrinsic value
________________________________________
💡 Professional Trading Tips
Market Environment Adaptation
• Low IV Environment: Buy straddles, strangles, long options
• High IV Environment: Sell premium, iron condors, credit spreads
• Trending Markets: Directional strategies with trend
• Range-Bound Markets: Neutral strategies, short premium
Risk Management Rules
1. Never risk more than 2% of capital per trade
2. Close losing trades at 2x premium received (short) or 50% loss (long)
3. Take profits at 50% of maximum potential
4. Avoid earnings announcements unless specifically trading volatility
5. Have exit plan before entry
________________________________________
🎯 Achieving "Risk-Free" Trading
While no trading is truly risk-free, the calculator helps minimize risk through:
High Probability Setups
• Only trade strategies with 70%+ confidence scores
• Confirm with multiple indicators (sentiment, IV, volume)
• Use proper position sizing
Statistical Edge
• Mean reversion strategies in extreme IV environments
• Time decay advantages in short premium strategies
• Probability-based position sizing
Risk Mitigation
• Defined risk strategies only
• Proper diversification across time and strikes
• Systematic profit taking and loss cutting
• Continuous monitoring and adjustment
________________________________________
📊 Dashboard Interpretation Guide
Green Signals (Go)
• High strategy confidence score
• Favorable IV environment for strategy
• Strong volume confirmation
• Clear directional bias
Yellow Signals (Caution)
• Medium confidence scores
• Mixed market signals
• Average volume activity
• Reduce position size
Red Signals (Stop)
• Low confidence scores
• Unfavorable conditions
• Low volume/poor liquidity
• Wait for better setup
________________________________________
The aiTrendview Option Calculator transforms complex options analysis into actionable trading intelligence, helping traders make informed decisions based on mathematical models, live market data, and statistical probabilities rather than emotions or guesswork.
FVG 9:31–10:00 AM ETFVG 9:31–10:00 AM ET - Script Description
What This Script Does
This indicator finds **Fair Value Gaps (FVGs)** that form during the first 29 minutes of the U.S. stock market (9:31 AM to 10:00 AM Eastern Time). A Fair Value Gap is a price imbalance where there's a gap between candles that often becomes an important support or resistance level.
Key Features:
- **Time Window**: Only looks for FVGs between 9:31-10:00 AM ET (most important opening period)
- **One Per Day**: Finds only the first FVG that forms in this time window each day
- **Visual Display**: Draws a purple box around the gap with a clear "FVG" label
- **Price Tracking**: Monitors when price comes back to test the gap level
- **Alert System**: Sends notifications when price returns to the FVG zone
How FVGs Are Detected:
- **Bullish FVG**: When there's a gap up (low of middle candle is above high of 3rd candle back)
- **Bearish FVG**: When there's a gap down (high of middle candle is below low of 3rd candle back)
The 9:31-10:00 AM window is chosen because this is when institutions and algorithms create their biggest price moves right after market open, making these gaps very reliable.
Customization Options
User Settings
Extend FVG Box (Bars)
- **What it does**: Makes the purple box longer to the right
- **Default**: 0 (box ends right after the gap forms)
- **Options**: Any number from 0 to 100+
- **When to use**:
- Keep at 0 for clean historical view
- Set to 10-20 to track the gap during the current session
- Set higher for longer reference
Code Settings (Can Be Changed)
Time Window
- **Start**: 9:31 AM Eastern Time
- **End**: 10:00 AM Eastern Time
- **Can modify**: Change the hour/minute numbers in the code
Visual Style
- **Color**: Purple with see-through background
- **Label**: Shows "FVG" text in white
- **Can modify**: Change colors and transparency in the code
How to Use:
Setup
Chart Settings
1. Use 1-minute, 5-minute, or 15-minute charts (works best on these timeframes)
2. Apply to liquid markets like ES, NQ, major stocks, or forex pairs
3. Set the "Extend FVG Box" to your preference (start with 0 or 10)
What You'll See
- A purple box appears when an FVG forms during 9:31-10:00 AM
- Box shows the exact price levels of the gap
- "FVG" label appears on the box
- Only one FVG per day will be marked
Trading Strategies
Basic FVG Trading
1. **Wait for Formation**: Let the purple box appear during 9:31-10:00 AM
2. **Watch Price Movement**: See if price moves away from the gap
3. **Enter on Retest**: When price comes back to the purple box area, consider entering
4. **Trade Direction**:
- Bullish FVG = look for long opportunities when price retests
- Bearish FVG = look for short opportunities when price retests
Entry Methods
- **Bounce Play**: Enter when price touches the FVG box and bounces away
- **Break Play**: Enter if price strongly breaks through the FVG box
- **Rejection Play**: Enter opposite direction if price gets rejected at the FVG
Risk Management
Stop Losses
- Place stops just outside the FVG box (a few ticks beyond the gap)
- If trading a bounce, stop goes on opposite side of the gap
- If trading a break, stop goes back inside the gap
Position Sizing
- Start small until you understand how FVGs work in your market
- Bigger gaps = smaller position size (more risk)
- Smaller gaps = can use larger position size
Profit Targets
- Take profits at obvious levels like round numbers, previous highs/lows
- Consider taking half profits at 1:1 risk/reward ratio
- Let some position run if the move is strong
Best Practices
When It Works Best
- High-volume stocks and futures (ES, NQ work great)
- Normal market days without major news during the 9:31-10:00 window
- When there's clear institutional activity in the opening period
When to Be Careful
- Low-volume stocks or markets
- Major economic news releases during the time window
- Market holidays when volume is low
- Very choppy or sideways days
Alert Usage
- The script will alert you when price comes back to test the FVG
- Don't trade the alert blindly - always check the current market situation
- Use the alert as a heads-up to start watching the setup more closely
Tips for Success
- The earlier the FVG forms in the 9:31-10:00 window, often the more significant it is
- FVGs that form with high volume are usually more reliable
- Always consider the overall market direction - don't fight the main trend
- Practice on paper first to understand how FVGs behave in your chosen market
🔗 Works Best With:
✅ Liquidity Levels — Smart Swing Lows: Spot key structural lows that can fuel stop hunts and reversals.
✅ ICT Turtle Soup — Liquidity Reversal: Add a classic reversal pattern to your toolkit to catch fakeouts cleanly.
✅ ICT SMC Liquidity Grabs and OBs- Liquidity Grabs, Order Block Zones, and Fibonacci OTE Levels, allowing traders to identify institutional entry models with clean, rule-based visual signals.
This script is most valuable for day traders who want to catch institutional moves right after market open, but it can also help swing traders identify important intraday levels.
✅ ICT Macro Zones (Grey Box Version)- It tracks real-time highs and lows for each Silver Bullet session.
✅ Weekly Opening Gap (cryptonnnite)
Custom Portfolio [BackQuant]Custom Portfolio {BackQuant]
Overview
This script turns TradingView into a lightweight portfolio optimizer with institutional-grade analytics and real-time position management capabilities.
Rank up to 15 tickers every bar using a pair-wise relative-strength "league table" that compares each asset against all others through your choice of 12 technical indicators.
Auto-allocate 100% of capital to the single strongest asset and optionally apply dynamic leverage when the aggregate market is trending, with full position tracking and rebalancing logic.
Track performance against a custom buy-and-hold benchmark while watching a fully fledged stats dashboard update in real time, including 15 professional risk metrics.
How it works
Relative-strength engine – Each asset is compared against every other asset with a user-selectable indicator (default: 9/21 EMA cross). The system generates a complete comparison matrix where Asset A vs Asset B, Asset A vs Asset C, and so on, creating strength scores. The summed scores crown a weekly/daily/hourly "winner" that receives the full allocation.
Regime filter – A second indicator applied to TOTAL crypto-market cap (or any symbol you choose) classifies the environment as trending or mean-reverting . Leverage activates only in trending regimes, protecting capital during choppy or declining markets. Choose from indicators like Universal Trend Model, Relative Strength Overlay, Momentum Velocity, or Custom RSI for regime detection.
Capital & position logic – Equity grows linearly when flat and multiplicatively while invested. The system tracks entry prices, calculates returns including leverage adjustments, and handles position transitions seamlessly. Optional intra-trade leverage rebalancing keeps exposure in sync with market conditions, recalculating position sizes as regime conditions change.
Risk & performance analytics – Every confirmed bar records return, drawdown, VaR/CVaR, Sharpe, Sortino, alpha/beta vs your benchmark, gain-to-pain, Calmar, win-rate, Omega ratio, portfolio variance, skewness, and annualized statistics. All metrics render in a professional table for instant inspection with proper annualization based on your selected trading days (252 for traditional markets, 365 for crypto).
Key inputs
Backtest window – Hard-code a start date or let the script run from series' inception with full date range validation.
Asset list (15 slots) – Works with spot, futures, indices, even synthetic spreads (e.g., BYBIT:BTCUSDT.P). The script automatically cleans ticker symbols for display.
Indicator universe – Switch the comparative metric to DEMA, BBPCT, LSMAz adaptive scores, Volatility WMA, DEMA ATR, Median Supertrend, and more proprietary indicators.
With more always being added!
Leverage settings – Max leverage from 1x to any multiple, auto-rebalancing toggle, trend/reversion thresholds with precision controls.
Visual toggles – Show/hide equity curve, rolling drawdown heat-map, daily PnL spikes, position label, advanced metrics table, buy-and-hold comparison equity.
Risk-free rate input – Customize the risk-free rate for accurate Sharpe ratio calculations, supporting both percentage and decimal inputs.
On-chart visuals
Color-coded equity curve with "shadow" offset for depth perception that changes from green (profitable) to red (losing) based on recent performance momentum.
Rolling drawdown strip that fades from light to deep red as losses widen, with customizable maximum drawdown scaling for visual clarity.
Optional daily-return histogram line and zero reference for understanding day-to-day volatility patterns.
Bottom-center table prints the current winning ticker in real time with clean formatting.
Top-right metrics grid updates every bar with 15 key performance indicators formatted to three decimal places for precision.
Benchmark overlay showing buy-and-hold performance of your selected index (default: SPX) for relative performance comparison.
Typical workflow
Add the indicator on a blank chart (overlay off).
Populate ticker slots with the assets you actually trade from your broker's symbol list.
Pick your momentum or mean-reversion metric and a regime filter that matches your market hypothesis.
Set max leverage (1 = spot only) and decide if you want dynamic rebalancing.
Press the little " L " on the price axis to view the equity curve in log scale for better long-term visualization.
Enable the metrics table to monitor Sharpe, Sortino, and drawdown in real time.
Iterate through different asset combinations and indicator settings; compare performance vs buy-and-hold; refine until you find robust parameters.
Who is it for?
Systematic crypto traders looking for a one-click, cross-sectional rotation model with professional risk management.
Portfolio quants who need rapid prototyping without leaving TradingView or exporting to Python/R.
Swing traders wanting an at-a-glance health check of their multi-coin basket with instant position signals.
Fund managers requiring detailed performance attribution and risk metrics for client reporting.
Researchers backtesting momentum and mean-reversion strategies across multiple assets simultaneously.
Important notes & tips
Set Trading Days in a Year to 252 for traditional markets; 365 for 24/7 crypto to ensure accurate annualization.
CAGR and Sharpe assume the backtest start date you choose—short windows can inflate stats, so test across multiple market cycles.
Leverage is theoretical; always confirm your broker's margin rules and account for funding costs not modeled here.
The script is computationally heavy at 15 assets due to the N×N comparison matrix—reduce the list or lengthen the timeframe if you hit execution limits.
Best results often come from mixing assets with different volatility profiles rather than highly correlated instruments.
The regime filter symbol can be changed from CRYPTOCAP:TOTAL to any broad market index that represents your asset universe.
Historical LiquidityHistorical Liquidity Indicator – Backtesting Mitigated Hidden Order Blocks
The Historical Liquidity Indicator is a companion tool to the Hidden Liquidity Indicator. It is designed to help traders visualize Hidden Order Blocks (HOBs), Partial Hidden Order Blocks (PHOBs) after they’ve been touched by price action.
This allows traders to perform historical market structure analysis, evaluate the effectiveness of past liquidity zones, and conduct systematic backtesting of mitigation-based strategies.
Purpose & Utility
Unlike the standard Hidden Liquidity Indicator, which focuses on active, untouched zones, the Historical Liquidity Indicator highlights zones that have already been mitigated.
It provides a clear historical trail of where hidden liquidity was previously located and how the market responded—offering valuable insights for:
• Identifying the success/failure rate of HOBs across time
• Analyzing price behavior after mitigation (retests, continuations, reversals)
• Supporting the development and refinement of liquidity-based trading strategies
• Recognizing recurring mitigation patterns over time
How It Works
This indicator uses the same core logic as the Hidden Liquidity Indicator—focused on the relationship between Fair Value Gaps (FVGs) and candle bodies—but tracks zones that have fully mitigated.
Mitigation logic is based on:
• HOB: Candle body fully fits inside the FVG and has now been touched by price
• PHOB: Candle body fits at least 50% inside the FVG and is later mitigated
Once mitigation is detected, the zone is stored and visualized historically, allowing traders to track the evolution of price in relation to prior hidden liquidity.
Visualization & Settings
Mitigated zones are clearly marked using distinct color schemes, that can be chosen individually.
You can toggle visibility of each type (HOBs, PHOBs) through the settings panel.
Why It Matters
While many indicators show current order blocks, this tool gives context by showing which liquidity zones were previously respected or invalidated by price. This makes it an ideal tool for:
• Quantifying past performance of liquidity zones
• Identifying support/resistance formed by mitigated blocks
• Enhancing discretionary or liquidity based strategies using historical validation
Important Notes
This is a closed-source indicator built on a custom methodology for detecting and tracking mitigated liquidity zones. While the internal logic remains proprietary, this description outlines the key concepts and use-cases so traders can understand how to apply it.
NFA.
Neuracap Gap AnalysisThe Neuracap Gap Analysis indicator is a comprehensive tool designed to identify and track price gaps, special candlestick patterns, and high-volume breakout signals. It combines multiple trading strategies into one powerful indicator for gap trading, pattern recognition, and momentum analysis.
🎯 What This Indicator Does
1. Gap Detection & Tracking
Automatically identifies price gaps (up and down)
Tracks gap fills with visual boxes that extend until closed
Manages gap history with customizable limits
Color-coded visualization (Green = Gap Up, Red = Gap Down)
2. Upside Tasuki Gap Pattern
Identifies the bullish continuation pattern
Colors candles yellow when pattern is detected
Confirms trend continuation signals
3. Episodic Pivot Detection
High-volume breakout identification
EMA filter ensures signals only in uptrends
Strong momentum confirmation
Fuchsia-colored candles with arrow markers
🔍 How to Use for Trading
📈 Gap Trading Strategy
Gap Up Trading:
Wait for gap up (green box appears)
Check volume - Higher volume = stronger signal
Entry options:
Aggressive: Enter at market open
Conservative: Wait for pullback to gap level
Stop loss: Below the gap fill level
Target: Previous resistance or 2:1 risk/reward
Gap Down Trading:
Identify gap down (red box appears)
Look for bounce opportunities
Entry: When price shows reversal signs
Stop: Below recent lows
Target: Gap fill level
💫 Tasuki Gap Strategy
Yellow candle indicates bullish continuation
Confirms uptrend is likely to continue
Entry: On next candle after pattern
Stop: Below the gap low
Target: Next resistance level
🚀 Episodic Pivot Strategy
Fuchsia candle + arrow = High probability breakout
All conditions met:
Price above EMA 20, 50, 200
High volume (2x+ average)
Strong price move (4%+)
Entry: At close or next open
Stop: Below EMA 20 or recent swing low
Target: Measured move or next resistance
📊 Reading the Visual Signals
Gap Boxes
🟢 Green Box: Gap up - potential bullish continuation
🔴 Red Box: Gap down - potential bounce or bearish continuation
Box extends until gap is filled
Box disappears when gap closes
Candle Colors
🟡 Yellow: Tasuki gap pattern (bullish continuation)
🟪 Fuchsia: Episodic pivot (high-volume breakout)
⬜ Normal: No special pattern detected
Arrows & Markers
⬆️ Triangle Arrow: Episodic pivot confirmation
💡 Trading Tips & Best Practices
✅ Do's
Combine with trend analysis - Trade gaps in direction of trend
Check volume - Higher volume = more reliable signals
Use multiple timeframes - Confirm on higher timeframes
Risk management - Always set stop losses
Wait for confirmation - Don't chase, let signals develop
❌ Don'ts
Don't trade all gaps - Focus on high-quality setups
Avoid low volume - Weak volume = unreliable signals
Don't ignore trend - Counter-trend trading is risky
Don't overtrade - Quality over quantity
Don't ignore context - Consider market conditions
⚠️ Risk Management
Position sizing: Risk 1-2% per trade
Stop losses: Always define before entry
Target levels: Set realistic profit targets
Market conditions: Avoid trading in choppy markets
📈 Performance Optimization
For Conservative Traders:
Increase minimum gap size to 1%
Set volume multiplier to 3.0x
Only trade episodic pivots in strong uptrends
Wait for gap fill confirmation
For Aggressive Traders:
Decrease minimum gap size to 0.3%
Set volume multiplier to 1.5x
Trade both gap types
Enter on pattern confirmation
🚨 Alert Setup
The indicator provides alerts for:
Gap Up Detected
Gap Down Detected
Upside Tasuki Gap
Episodic Pivot
Recommended: Enable all alerts and filter manually based on your strategy.
📝 Summary
This indicator excels at identifying high-probability trading opportunities through gap analysis, pattern recognition, and momentum confirmation. Use it as part of a complete trading system with proper risk management for best results.
Performance Metrics With Bracketed Rebalacing [BackQuant]Performance Metrics With Bracketed Rebalancing
The Performance Metrics With Bracketed Rebalancing script offers a robust method for assessing portfolio performance, integrating advanced portfolio metrics with different rebalancing strategies. With a focus on adaptability, the script allows traders to monitor and adjust portfolio weights, equity, and other key financial metrics dynamically. This script provides a versatile approach for evaluating different trading strategies, considering factors like risk-adjusted returns, volatility, and the impact of portfolio rebalancing.
Please take the time to read the following:
Key Features and Benefits of Portfolio Methods
Bracketed Rebalancing:
Bracketed Rebalancing is an advanced strategy designed to trigger portfolio adjustments when an asset's weight surpasses a predefined threshold. This approach minimizes overexposure to any single asset while maintaining flexibility in response to market changes. The strategy is particularly beneficial for mitigating risks that arise from significant asset weight fluctuations. The following image illustrates how this method reacts when asset weights cross the threshold:
Daily Rebalancing:
Unlike the bracketed method, Daily Rebalancing adjusts portfolio weights every trading day, ensuring consistent asset allocation. This method aims for a more even distribution of portfolio weights, making it a suitable option for traders who prefer less sensitivity to individual asset volatility. Here's an example of Daily Rebalancing in action:
No Rebalancing:
For traders who prefer a passive approach, the "No Rebalancing" option allows the portfolio to remain static, without any adjustments to asset weights. This method may appeal to long-term investors or those who believe in the inherent stability of their selected assets. Here’s how the portfolio looks when no rebalancing is applied:
Portfolio Weights Visualization:
One of the standout features of this script is the visual representation of portfolio weights. With adjustable settings, users can track the current allocation of assets in real-time, making it easier to analyze shifts and trends. The following image shows the real-time weight distribution across three assets:
Rolling Drawdown Plot:
Managing drawdown risk is a critical aspect of portfolio management. The Rolling Drawdown Plot visually tracks the drawdown over time, helping traders monitor the risk exposure and performance relative to the peak equity levels. This feature is essential for assessing the portfolio's resilience during market downturns:
Daily Portfolio Returns:
Tracking daily returns is crucial for evaluating the short-term performance of the portfolio. The script allows users to plot daily portfolio returns to gain insights into daily profit or loss, helping traders stay updated on their portfolio’s progress:
Performance Metrics
Net Profit (%):
This metric represents the total return on investment as a percentage of the initial capital. A positive net profit indicates that the portfolio has gained value over the evaluation period, while a negative value suggests a loss. It's a fundamental indicator of overall portfolio performance.
Maximum Drawdown (Max DD):
Maximum Drawdown measures the largest peak-to-trough decline in portfolio value during a specified period. It quantifies the most significant loss an investor would have experienced if they had invested at the highest point and sold at the lowest point within the timeframe. A smaller Max DD indicates better risk management and less exposure to significant losses.
Annual Mean Returns (% p/y):
This metric calculates the average annual return of the portfolio over the evaluation period. It provides insight into the portfolio's ability to generate returns on an annual basis, aiding in performance comparison with other investment opportunities.
Annual Standard Deviation of Returns (% p/y):
This measure indicates the volatility of the portfolio's returns on an annual basis. A higher standard deviation signifies greater variability in returns, implying higher risk, while a lower value suggests more stable returns.
Variance:
Variance is the square of the standard deviation and provides a measure of the dispersion of returns. It helps in understanding the degree of risk associated with the portfolio's returns.
Sortino Ratio:
The Sortino Ratio is a variation of the Sharpe Ratio that only considers downside risk, focusing on negative volatility. It is calculated as the difference between the portfolio's return and the minimum acceptable return (MAR), divided by the downside deviation. A higher Sortino Ratio indicates better risk-adjusted performance, emphasizing the importance of avoiding negative returns.
Sharpe Ratio:
The Sharpe Ratio measures the portfolio's excess return per unit of total risk, as represented by standard deviation. It is calculated by subtracting the risk-free rate from the portfolio's return and dividing by the standard deviation of the portfolio's excess return. A higher Sharpe Ratio indicates more favorable risk-adjusted returns.
Omega Ratio:
The Omega Ratio evaluates the probability of achieving returns above a certain threshold relative to the probability of experiencing returns below that threshold. It is calculated by dividing the cumulative probability of positive returns by the cumulative probability of negative returns. An Omega Ratio greater than 1 indicates a higher likelihood of achieving favorable returns.
Gain-to-Pain Ratio:
The Gain-to-Pain Ratio measures the return per unit of risk, focusing on the magnitude of gains relative to the severity of losses. It is calculated by dividing the total gains by the total losses experienced during the evaluation period. A higher ratio suggests a more favorable balance between reward and risk.
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Compound Annual Growth Rate (CAGR) (% p/y):
CAGR represents the mean annual growth rate of the portfolio over a specified period, assuming the investment has been compounding over that time. It provides a smoothed annual rate of growth, eliminating the effects of volatility and offering a clearer picture of long-term performance.
Portfolio Alpha (% p/y):
Portfolio Alpha measures the portfolio's performance relative to a benchmark index, adjusting for risk. It is calculated using the Capital Asset Pricing Model (CAPM) and represents the excess return of the portfolio over the expected return based on its beta and the benchmark's performance. A positive alpha indicates outperformance, while a negative alpha suggests underperformance.
Portfolio Beta:
Portfolio Beta assesses the portfolio's sensitivity to market movements, indicating its exposure to systematic risk. A beta greater than 1 suggests the portfolio is more volatile than the market, while a beta less than 1 indicates lower volatility. Beta is used to understand the portfolio's potential for gains or losses in relation to market fluctuations.
Skewness of Returns:
Skewness measures the asymmetry of the return distribution. A positive skew indicates a distribution with a long right tail, suggesting more frequent small losses and fewer large gains. A negative skew indicates a long left tail, implying more frequent small gains and fewer large losses. Understanding skewness helps in assessing the likelihood of extreme outcomes.
Value at Risk (VaR) 95th Percentile:
VaR at the 95th percentile estimates the maximum potential loss over a specified period, given a 95% confidence level. It provides a threshold value such that there is a 95% probability that the portfolio will not experience a loss greater than this amount.
Conditional Value at Risk (CVaR):
CVaR, also known as Expected Shortfall, measures the average loss exceeding the VaR threshold. It provides insight into the tail risk of the portfolio, indicating the expected loss in the worst-case scenarios beyond the VaR level.
These metrics collectively offer a comprehensive view of the portfolio's performance, risk exposure, and efficiency. By analyzing these indicators, investors can make informed decisions, balancing potential returns with acceptable levels of risk.
Conclusion
The Performance Metrics With Bracketed Rebalancing script provides a comprehensive framework for evaluating and optimizing portfolio performance. By integrating advanced metrics, adaptive rebalancing strategies, and visual analytics, it empowers traders to make informed decisions in managing their investment portfolios. However, it's crucial to consider the implications of rebalancing strategies, as academic research indicates that predictable rebalancing can lead to market impact costs. Therefore, adopting flexible and less predictable rebalancing approaches may enhance portfolio performance and reduce associated costs.
Ergodic Market Divergence (EMD)Ergodic Market Divergence (EMD)
Bridging Statistical Physics and Market Dynamics Through Ensemble Analysis
The Revolutionary Concept: When Physics Meets Trading
After months of research into ergodic theory—a fundamental principle in statistical mechanics—I've developed a trading system that identifies when markets transition between predictable and unpredictable states. This indicator doesn't just follow price; it analyzes whether current market behavior will persist or revert, giving traders a scientific edge in timing entries and exits.
The Core Innovation: Ergodic Theory Applied to Markets
What Makes Markets Ergodic or Non-Ergodic?
In statistical physics, ergodicity determines whether a system's future resembles its past. Applied to trading:
Ergodic Markets (Mean-Reverting)
- Time averages equal ensemble averages
- Historical patterns repeat reliably
- Price oscillates around equilibrium
- Traditional indicators work well
Non-Ergodic Markets (Trending)
- Path dependency dominates
- History doesn't predict future
- Price creates new equilibrium levels
- Momentum strategies excel
The Mathematical Framework
The Ergodic Score combines three critical divergences:
Ergodic Score = (Price Divergence × Market Stress + Return Divergence × 1000 + Volatility Divergence × 50) / 3
Where:
Price Divergence: How far current price deviates from market consensus
Return Divergence: Momentum differential between instrument and market
Volatility Divergence: Volatility regime misalignment
Market Stress: Adaptive multiplier based on current conditions
The Ensemble Analysis Revolution
Beyond Single-Instrument Analysis
Traditional indicators analyze one chart in isolation. EMD monitors multiple correlated markets simultaneously (SPY, QQQ, IWM, DIA) to detect systemic regime changes. This ensemble approach:
Reveals Hidden Divergences: Individual stocks may diverge from market consensus before major moves
Filters False Signals: Requires broader market confirmation
Identifies Regime Shifts: Detects when entire market structure changes
Provides Context: Shows if moves are isolated or systemic
Dynamic Threshold Adaptation
Unlike fixed-threshold systems, EMD's boundaries evolve with market conditions:
Base Threshold = SMA(Ergodic Score, Lookback × 3)
Adaptive Component = StDev(Ergodic Score, Lookback × 2) × Sensitivity
Final Threshold = Smoothed(Base + Adaptive)
This creates context-aware signals that remain effective across different market environments.
The Confidence Engine: Know Your Signal Quality
Multi-Factor Confidence Scoring
Every signal receives a confidence score based on:
Signal Clarity (0-35%): How decisively the ergodic threshold is crossed
Momentum Strength (0-25%): Rate of ergodic change
Volatility Alignment (0-20%): Whether volatility supports the signal
Market Quality (0-20%): Price convergence and path dependency factors
Real-Time Confidence Updates
The Live Confidence metric continuously updates, showing:
- Current opportunity quality
- Market state clarity
- Historical performance influence
- Signal recency boost
- Visual Intelligence System
Adaptive Ergodic Field Bands
Dynamic bands that expand and contract based on market state:
Primary Color: Ergodic state (mean-reverting)
Danger Color: Non-ergodic state (trending)
Band Width: Expected price movement range
Squeeze Indicators: Volatility compression warnings
Quantum Wave Ribbons
Triple EMA system (8, 21, 55) revealing market flow:
Compressed Ribbons: Consolidation imminent
Expanding Ribbons: Directional move developing
Color Coding: Matches current ergodic state
Phase Transition Signals
Clear entry/exit markers at regime changes:
Bull Signals: Ergodic restoration (mean reversion opportunity)
Bear Signals: Ergodic break (trend following opportunity)
Confidence Labels: Percentage showing signal quality
Visual Intensity: Stronger signals = deeper colors
Professional Dashboard Suite
Main Analytics Panel (Top Right)
Market State Monitor
- Current regime (Ergodic/Non-Ergodic)
- Ergodic score with threshold
- Path dependency strength
- Quantum coherence percentage
Divergence Metrics
- Price divergence with severity
- Volatility regime classification
- Strategy mode recommendation
- Signal strength indicator
Live Intelligence
- Real-time confidence score
- Color-coded risk levels
- Dynamic strategy suggestions
Performance Tracking (Left Panel)
Signal Analytics
- Total historical signals
- Win rate with W/L breakdown
- Current streak tracking
- Closed trade counter
Regime Analysis
- Current market behavior
- Bars since last signal
- Recommended actions
- Average confidence trends
Strategy Command Center (Bottom Right)
Adaptive Recommendations
- Active strategy mode
- Primary approach (mean reversion/momentum)
- Suggested indicators ("weapons")
- Entry/exit methodology
- Risk management guidance
- Comprehensive Input Guide
Core Algorithm Parameters
Analysis Period (10-100 bars)
Scalping (10-15): Ultra-responsive, more signals, higher noise
Day Trading (20-30): Balanced sensitivity and stability
Swing Trading (40-100): Smooth signals, major moves only Default: 20 - optimal for most timeframes
Divergence Threshold (0.5-5.0)
Hair Trigger (0.5-1.0): Catches every wiggle, many false signals
Balanced (1.5-2.5): Good signal-to-noise ratio
Conservative (3.0-5.0): Only extreme divergences Default: 1.5 - best risk/reward balance
Path Memory (20-200 bars)
Short Memory (20-50): Recent behavior focus, quick adaptation
Medium Memory (50-100): Balanced historical context
Long Memory (100-200): Emphasizes established patterns Default: 50 - captures sufficient history without lag
Signal Spacing (5-50 bars)
Aggressive (5-10): Allows rapid-fire signals
Normal (15-25): Prevents clustering, maintains flow
Conservative (30-50): Major setups only Default: 15 - optimal trade frequency
Ensemble Configuration
Select markets for consensus analysis:
SPY: Broad market sentiment
QQQ: Technology leadership
IWM: Small-cap risk appetite
DIA: Blue-chip stability
More instruments = stronger consensus but potentially diluted signals
Visual Customization
Color Themes (6 professional options):
Quantum: Cyan/Pink - Modern trading aesthetic
Matrix: Green/Red - Classic terminal look
Heat: Blue/Red - Temperature metaphor
Neon: Cyan/Magenta - High contrast
Ocean: Turquoise/Coral - Calming palette
Sunset: Red-orange/Teal - Warm gradients
Display Controls:
- Toggle each visual component
- Adjust transparency levels
- Scale dashboard text
- Show/hide confidence scores
- Trading Strategies by Market State
- Ergodic State Strategy (Primary Color Bands)
Market Characteristics
- Price oscillates predictably
- Support/resistance hold
- Volume patterns repeat
- Mean reversion dominates
Optimal Approach
Entry: Fade moves at band extremes
Target: Middle band (equilibrium)
Stop: Just beyond outer bands
Size: Full confidence-based position
Recommended Tools
- RSI for oversold/overbought
- Bollinger Bands for extremes
- Volume profile for levels
- Non-Ergodic State Strategy (Danger Color Bands)
Market Characteristics
- Price trends persistently
- Levels break decisively
- Volume confirms direction
- Momentum accelerates
Optimal Approach
Entry: Breakout from bands
Target: Trail with expanding bands
Stop: Inside opposite band
Size: Scale in with trend
Recommended Tools
- Moving average alignment
- ADX for trend strength
- MACD for momentum
- Advanced Features Explained
Quantum Coherence Metric
Measures phase alignment between individual and ensemble behavior:
80-100%: Perfect sync - strong mean reversion setup
50-80%: Moderate alignment - mixed signals
0-50%: Decoherence - trending behavior likely
Path Dependency Analysis
Quantifies how much history influences current price:
Low (<30%): Technical patterns reliable
Medium (30-50%): Mixed influences
High (>50%): Fundamental shift occurring
Volatility Regime Classification
Contextualizes current volatility:
Normal: Standard strategies apply
Elevated: Widen stops, reduce size
Extreme: Defensive mode required
Signal Strength Indicator
Real-time opportunity quality:
- Distance from threshold
- Momentum acceleration
- Cross-validation factors
Risk Management Framework
Position Sizing by Confidence
90%+ confidence = 100% position size
70-90% confidence = 75% position size
50-70% confidence = 50% position size
<50% confidence = 25% or skip
Dynamic Stop Placement
Ergodic State: ATR × 1.0 from entry
Non-Ergodic State: ATR × 2.0 from entry
Volatility Adjustment: Multiply by current regime
Multi-Timeframe Alignment
- Check higher timeframe regime
- Confirm ensemble consensus
- Verify volume participation
- Align with major levels
What Makes EMD Unique
Original Contributions
First Ergodic Theory Trading Application: Transforms abstract physics into practical signals
Ensemble Market Analysis: Revolutionary multi-market divergence system
Adaptive Confidence Engine: Institutional-grade signal quality metrics
Quantum Coherence: Novel market alignment measurement
Smart Signal Management: Prevents clustering while maintaining responsiveness
Technical Innovations
Dynamic Threshold Adaptation: Self-adjusting sensitivity
Path Memory Integration: Historical dependency weighting
Stress-Adjusted Scoring: Market condition normalization
Real-Time Performance Tracking: Built-in strategy analytics
Optimization Guidelines
By Timeframe
Scalping (1-5 min)
Period: 10-15
Threshold: 0.5-1.0
Memory: 20-30
Spacing: 5-10
Day Trading (5-60 min)
Period: 20-30
Threshold: 1.5-2.5
Memory: 40-60
Spacing: 15-20
Swing Trading (1H-1D)
Period: 40-60
Threshold: 2.0-3.0
Memory: 80-120
Spacing: 25-35
Position Trading (1D-1W)
Period: 60-100
Threshold: 3.0-5.0
Memory: 100-200
Spacing: 40-50
By Market Condition
Trending Markets
- Increase threshold
- Extend memory
- Focus on breaks
Ranging Markets
- Decrease threshold
- Shorten memory
- Focus on restores
Volatile Markets
- Increase spacing
- Raise confidence requirement
- Reduce position size
- Integration with Other Analysis
- Complementary Indicators
For Ergodic States
- RSI divergences
- Bollinger Band squeezes
- Volume profile nodes
- Support/resistance levels
For Non-Ergodic States
- Moving average ribbons
- Trend strength indicators
- Momentum oscillators
- Breakout patterns
- Fundamental Alignment
- Check economic calendar
- Monitor sector rotation
- Consider market themes
- Evaluate risk sentiment
Troubleshooting Guide
Too Many Signals:
- Increase threshold
- Extend signal spacing
- Raise confidence minimum
Missing Opportunities
- Decrease threshold
- Reduce signal spacing
- Check ensemble settings
Poor Win Rate
- Verify timeframe alignment
- Confirm volume participation
- Review risk management
Disclaimer
This indicator is for educational and informational purposes only. It does not constitute financial advice. Trading involves substantial risk of loss and is not suitable for all investors. Past performance does not guarantee future results.
The ergodic framework provides unique market insights but cannot predict future price movements with certainty. Always use proper risk management, conduct your own analysis, and never risk more than you can afford to lose.
This tool should complement, not replace, comprehensive trading strategies and sound judgment. Markets remain inherently unpredictable despite advanced analysis techniques.
Transform market chaos into trading clarity with Ergodic Market Divergence.
Created with passion for the TradingView community
Trade with insight. Trade with anticipation.
— Dskyz , for DAFE Trading Systems
Aftershock by Session [SAKANE]■ Background & Motivation
In 24/7 markets like crypto, not all participants react simultaneously to major events.
Instead, reactions unfold across different regional trading sessions — Asia (APAC), Europe (EU), and the United States (US) — each with its own tempo and sentiment.
This indicator is designed to visualize which session drives the market after a key event — capturing the "aftershock" effect that ripples through time zones.
■ Key Features
Tracks price return (open → close) for each session: APAC / EU / US
Cumulative session returns are calculated and visualized
Smoothing options: SMA, EMA, or Ehlers SuperSmoother
Optimized for daily charts to highlight structural momentum shifts
Toggle visibility of each session independently
■ Why “Aftershock”?
Take April 2, 2025 — the day of the “Trump Tariff Opening.”
That policy announcement triggered a market-wide response. But:
Which session reacted first?
Which session truly moved the market?
This indicator is named “Aftershock” because it helps you see the ripple effect of such events — when and where momentum followed.
■ How to Use
Search for “Aftershock by Session ” on TradingView
Add it to your chart (use Daily timeframe)
Customize sessions and smoothing options via settings
You can also bookmark it for quick access.
■ Insights & Use Cases
Detect which session initiated or led market moves after news events
Understand geo-temporal dynamics — did the move start in Asia, Europe, or the US?
For example, on April 2, 2025, the day Trump’s tariff pivot was announced:
You can instantly see which session took the lead —
the APAC session hesitated, while the US session drove the trend.
This insight becomes visually obvious with the cumulative lines.
■ Unique Value
Unlike typical indicators based on raw price action,
Aftershock analyzes market movement through a session-based structural lens.
It captures where capital actually moved — and when.
A tool not just for technical analysis, but for event-driven, macro-aware market reading.
■ Final Thoughts
To truly understand market mechanics, we must look beyond candles and trends.
Aftershock by Session breaks down the 24-hour cycle into meaningful regional flows,
allowing you to track the true drivers behind price momentum.
Whether you're trading, researching, or tracking macro catalysts,
this tool helps answer the key question:
“Who moved the market — and when?”
Parabolic RSI Strategy [ChartPrime × PineIndicators]This strategy combines the strengths of the Relative Strength Index (RSI) with a Parabolic SAR logic applied directly to RSI values.
Full credit to ChartPrime for the original concept and indicator, licensed under the MPL 2.0.
It provides clear momentum-based trade signals using an innovative method that tracks RSI trend reversals via a customized Parabolic SAR, enhancing traditional oscillator strategies with dynamic trend confirmation.
How It Works
The system overlays a Parabolic SAR on the RSI, detecting trend shifts in RSI itself rather than on price, offering early reversal insight with visual and algorithmic clarity.
Core Components
1. RSI-Based Trend Detection
Calculates RSI using a customizable length (default: 14).
Uses upper and lower thresholds (default: 70/30) for overbought/oversold zones.
2. Parabolic SAR Applied to RSI
A custom Parabolic SAR function tracks momentum within the RSI, not price.
This allows the system to capture RSI trend reversals more responsively.
Configurable SAR parameters: Start, Increment, and Maximum acceleration.
3. Signal Generation
Long Entry: Triggered when the SAR flips below the RSI line.
Short Entry: Triggered when the SAR flips above the RSI line.
Optional RSI filter ensures that:
Long entries only occur above a minimum RSI (e.g. 50).
Short entries only occur below a maximum RSI.
Built-in logic prevents new positions from being opened against trend without prior exit.
Trade Modes & Controls
Choose from:
Long Only
Short Only
Long & Short
Optional setting to reverse positions on opposite signal (instead of waiting for a flat close).
Visual Features
1. RSI Plotting with Thresholds
RSI is displayed in a dedicated pane with overbought/oversold fill zones.
Custom horizontal lines mark threshold boundaries.
2. Parabolic SAR Overlay on RSI
SAR dots color-coded for trend direction.
Visible only when enabled by user input.
3. Entry & Exit Markers
Diamonds: Mark entry points (above for shorts, below for longs).
Crosses: Mark exit points.
Strategy Strengths
Provides early momentum reversal entries without relying on price candles.
Combines oscillator and trend logic without repainting.
Works well in both trending and mean-reverting markets.
Easy to configure with fine-tuned filter options.
Recommended Use Cases
Intraday or swing traders who want to catch RSI-based reversals early.
Traders seeking smoother signals than price-based Parabolic SAR entries.
Users of RSI looking to reduce false positives via trend tracking.
Customization Options
RSI Length and Thresholds.
SAR Start, Increment, and Maximum values.
Trade Direction Mode (Long, Short, Both).
Optional RSI filter and reverse-on-signal settings.
SAR dot color customization.
Conclusion
The Parabolic RSI Strategy is an innovative, non-repainting momentum strategy that enhances RSI-based systems with trend-confirming logic using Parabolic SAR. By applying SAR logic to RSI values, this strategy offers early, visualized, and filtered entries and exits that adapt to market dynamics.
Credit to ChartPrime for the original methodology, published under MPL-2.0.
Big Whale Finder PROBig Whale Finder PRO
The Big Whale Finder PRO is an advanced technical indicator designed to detect and analyze the footprints of institutional traders (commonly referred to as "whales") in financial markets. Based on multiple proprietary detection algorithms, this indicator identifies distinct patterns of accumulation and distribution that typically occur when large market participants execute significant orders.
Theoretical Framework
The indicator builds upon established market microstructure theories and empirical research on institutional trading behavior. As Kyle (1985) demonstrated in his seminal work on market microstructure, informed traders with large positions tend to execute their orders strategically to minimize market impact. This often results in specific volume and price action patterns that the Big Whale Finder PRO is designed to detect.
Key Feature Enhancements
1. Volume Analysis Refinement
The indicator implements a dual-threshold approach to volume analysis based on research by Easley et al. (2012) on volume-based informed trading metrics. The normal threshold identifies routine institutional activity, while the extreme threshold flags exceptional events that often precede significant market moves.
2. Wickbody Ratio Analysis
Drawing from Cao et al. (2021) research on price formation and order flow imbalance, the indicator incorporates wick-to-body ratio analysis to detect potential order absorption and iceberg orders. High wick-to-body ratios often indicate hidden liquidity and resistance/support levels maintained by large players.
3. BWF-Index (Proprietary Metric)
The BWF-Index is a novel quantitative measure that combines volume anomalies, price stagnation, and candle morphology into a single metric. This approach draws from Harris's (2003) work on trading and exchanges, which suggests that institutional activity often manifests through multiple simultaneous market microstructure anomalies.
4. Zone Tracking System
Based on Wyckoff Accumulation/Distribution methodology and modern zone detection algorithms, the indicator establishes and tracks zones where institutional activity has occurred. This feature enables traders to identify potential support/resistance areas where large players have previously shown interest.
5. Trend Integration
Following Lo and MacKinlay's (1988) work on market efficiency and technical analysis, the indicator incorporates trend analysis through dual EMA comparison, providing context for volume and price patterns.
Labels and Signals Explanation
The indicator uses a system of labels to mark significant events on the chart:
🐋 (Whale Symbol): Indicates extreme volume activity that significantly exceeds normal market participation. This is often a sign of major institutional involvement and frequently precedes significant price moves. The presence of this label suggests heightened attention is warranted as a potential trend reversal or acceleration may be imminent.
A (Accumulation): Marks periods where large players are likely accumulating positions. This is characterized by high volume, minimal price movement upward, and stronger support at the lower end of the candle (larger lower wicks). Accumulation zones often form bases for future upward price movements. This pattern frequently occurs at the end of downtrends or during consolidation phases before uptrends.
D (Distribution): Identifies periods where large players are likely distributing (selling) their positions. This pattern shows high volume, minimal downward price movement, and stronger resistance at the upper end of the candle (larger upper wicks). Distribution zones often form tops before downward price movements. This pattern typically appears at the end of uptrends or during consolidation phases before downtrends.
ICE (Iceberg Order): Flags the potential presence of iceberg orders, where large orders are split into smaller visible portions to hide the true size. These are characterized by unusual wick-to-body ratios with high volume. Iceberg orders often indicate price levels that large institutions consider significant and may act as strong support or resistance areas.
Information Panel Interpretation
The information panel provides real-time analysis of market conditions:
Volume/Average Ratio: Shows how current volume compares to the historical average. Values above the threshold (default 1.5x) indicate abnormal activity that may signal institutional involvement.
BWF-Index: A proprietary metric that quantifies potential whale activity. Higher values (especially >10) indicate stronger likelihood of institutional participation. The BWF-Index combines volume anomalies, price action characteristics, and candle morphology to provide a single measure of potential whale activity.
Status: Displays the current market classification based on detected patterns:
"Major Whale Activity": Extreme volume detected, suggesting significant institutional involvement
"Accumulation": Potential buying activity by large players
"Distribution": Potential selling activity by large players
"High Volume": Above-average volume without clear accumulation/distribution patterns
"Normal": Regular market activity with no significant institutional footprints
Trend: Shows the current market trend based on EMA comparison:
"Uptrend": Fast EMA above Slow EMA, suggesting bullish momentum
"Downtrend": Fast EMA below Slow EMA, suggesting bearish momentum
"Sideways": EMAs very close together, suggesting consolidation
Zone: Indicates if the current price is in a previously identified institutional activity zone:
"In Buy Zone": Price is in an area where accumulation was previously detected
"In Sell Zone": Price is in an area where distribution was previously detected
"Neutral": Price is not in a previously identified institutional zone
Trading Recommendations
Based on the different signals and patterns, the following trading recommendations apply:
Bullish Scenarios
Accumulation (A) + Uptrend: Strong buy signal. Large players are accumulating in an established uptrend, suggesting potential continuation or acceleration.
Strategy: Consider entering long positions with stops below the accumulation zone.
Extreme Volume (🐋) + In Buy Zone + Price Above EMAs: Very bullish. Major whale activity in a previously established buying zone with positive price action.
Strategy: Aggressive buying opportunity with wider stops to accommodate volatility.
High BWF-Index (>10) + Accumulation + Downtrend Ending: Potential trend reversal signal. High institutional interest at the potential end of a downtrend.
Strategy: Early position building with tight risk management until trend confirmation.
Bearish Scenarios
Distribution (D) + Downtrend: Strong sell signal. Large players are distributing in an established downtrend, suggesting potential continuation or acceleration.
Strategy: Consider entering short positions with stops above the distribution zone.
Extreme Volume (🐋) + In Sell Zone + Price Below EMAs: Very bearish. Major whale activity in a previously established selling zone with negative price action.
Strategy: Aggressive shorting opportunity with wider stops to accommodate volatility.
High BWF-Index (>10) + Distribution + Uptrend Ending: Potential trend reversal signal. High institutional interest at the potential end of an uptrend.
Strategy: Early short position building with tight risk management until trend confirmation.
Neutral/Caution Scenarios
Iceberg Orders (ICE) + Sideways Market: Suggests significant hidden liquidity at current levels.
Strategy: Mark these levels as potential support/resistance for future reference. Consider range-trading strategies.
Conflicting Signals (e.g., Accumulation in Downtrend): Requires careful analysis.
Strategy: Wait for additional confirmation or reduce position sizing.
Multiple Extreme Volume Events (🐋) in Succession: Indicates unusual market conditions, possibly related to news events or major market shifts.
Strategy: Exercise extreme caution and potentially reduce exposure until clarity emerges.
Practical Applications
Short-Term Trading:
Use the indicator to identify institutional activity zones for potential intraday support/resistance levels
Watch for whale symbols (🐋) to anticipate potential volatility or trend changes
Combine with price action analysis for entry/exit timing
Swing Trading
Focus on accumulation/distribution patterns in conjunction with the prevailing trend
Use buy/sell zones as areas to establish or exit positions
Monitor the BWF-Index for increasing institutional interest over time
Position Trading
Track long-term whale activity to identify shifts in institutional positioning
Use multiple timeframe analysis to confirm major accumulation/distribution phases
Combine with fundamental analysis to validate potential long-term trend changes
References
Kyle, A. S. (1985). Continuous auctions and insider trading. Econometrica, 53(6), 1315-1335.
Easley, D., López de Prado, M. M., & O'Hara, M. (2012). Flow toxicity and liquidity in a high-frequency world. The Review of Financial Studies, 25(5), 1457-1493.
Cao, C., Hansch, O., & Wang, X. (2021). The information content of an open limit order book. Journal of Financial Markets, 50, 100561.
Harris, L. (2003). Trading and exchanges: Market microstructure for practitioners. Oxford University Press.
Lo, A. W., & MacKinlay, A. C. (1988). Stock market prices do not follow random walks: Evidence from a simple specification test. The Review of Financial Studies, 1(1), 41-66.
Wyckoff, R. D. (1931). The Richard D. Wyckoff method of trading and investing in stocks. Transaction Publishers.
Menkhoff, L., & Taylor, M. P. (2007). The obstinate passion of foreign exchange professionals: Technical analysis. Journal of Economic Literature, 45(4), 936-972.
Machine Learning | Adaptive Trend Signals [Bitwardex]⚙️🧠Machine Learning | Adaptive Trend Signals
🔷Overview
Machine Learning | Adaptive Trend Signals is a Pine Script™ v6 indicator designed to visualize market trends and generate signals through a combination of volatility clustering, Gaussian smoothing, and adaptive trend calculations. Built as an overlay indicator, it integrates advanced techniques inspired by machine learning concepts, such as K-Means clustering, to adapt to changing market conditions. The script is highly customizable, includes a backtesting module, and supports alert conditions, making it suitable for traders exploring trend-based strategies and developers studying volatility-driven indicator design.
🔷Functionality
The indicator performs the following core functions:
• Volatility Clustering: Uses K-Means clustering to categorize market volatility into high, medium, and low states, adjusting trend sensitivity accordingly.
• Trend Calculation: Computes adaptive trend lines (SmartTrend) based on volatility-adjusted standard deviation, smoothed RSI, and ADX filters.
• Signal Generation: Identifies potential buy and sell points through trend line crossovers and directional confirmation.
• Backtesting Module: Tracks trade outcomes based on the SmartTrend3 value, displaying win rate and total trades.
• Visualization: Plots trend lines with gradient colors and optional signal markers (bullish 🐮 and bearish 🐻).
• Alerts: Provides configurable alerts for trend shifts and volatility state changes.
🔷Technical Methodology
Volatility Clustering with K-Means
The indicator employs a K-Means clustering algorithm to classify market volatility, measured via the Average True Range (ATR), into three distinct clusters:
• Data Collection: Gathers ATR values over a user-defined training period (default: 100 bars).
• Centroid Initialization: Sets initial centroids at the highest, lowest, and midpoint ATR values within the training period.
• Iterative Clustering: Assigns ATR data points to the nearest centroid, recalculates centroid means, and repeats until convergence.
• Dynamic Adjustment: Assigns a volatility state (high, medium, or low) based on the closest centroid, adjusting the trend factor (e.g., tighter for high volatility, wider for low volatility).
This approach allows the indicator to adapt its sensitivity to varying market conditions, providing a data-driven foundation for trend calculations.
🔷Gaussian Smoothing
To enhance signal clarity and reduce noise, the indicator applies Gaussian kernel smoothing to:
• RSI: Smooths the Relative Strength Index (calculated from OHLC4) to filter short-term fluctuations.
• SmartTrend: Smooths the primary trend line for a more stable output.
The Gaussian kernel uses a sigma value derived from the user-defined smoothing length, ensuring mathematically consistent noise reduction.
🔷SmartTrend Calculation
The pineSmartTrend function is the core of the indicator, producing three trend lines:
• SmartTrend: The primary trend line, calculated using a volatility-adjusted standard deviation, smoothed RSI, and ADX conditions.
• SmartTrend2: A secondary trend line with a wider factor (base factor * 1.382) for signal confirmation.
SmartTrend3: The average of SmartTrend and SmartTrend2, used for plotting and backtesting.
Key components of the calculation include:
• Dynamic Standard Deviation: Scales based on ATR relative to its 50-period smoothed average, with multipliers (1.0 to 1.4) applied according to volatility thresholds.
• RSI and ADX Filters: Requires RSI > 50 for bullish trends or < 50 for bearish trends, alongside ADX > 15 and rising to confirm trend strength.
Volatility-Adjusted Bands: Constructs upper and lower bands around price action, adjusted by the volatility cluster’s dynamic factor.
🔷Signal Generation
The generate_signals function generates signals as follows:
• Buy Signal: Triggered when SmartTrend crosses above SmartTrend2 and the price is above SmartTrend, with directional confirmation.
• Sell Signal: Triggered when SmartTrend crosses below SmartTrend2 and the price is below SmartTrend, with directional confirmation.
Directional Logic: Tracks trend direction to filter out conflicting signals, ensuring alignment with the broader market context.
Signals are visualized as small circles with bullish (🐮) or bearish (🐻) emojis, with an option to toggle visibility.
🔷Backtesting
The get_backtest function evaluates signal outcomes using the SmartTrend3 value (rather than closing prices) to align with the trend-based methodology.
It tracks:
• Total Trades: Counts completed long and short trades.
• Win Rate: Calculates the percentage of trades where SmartTrend3 moves favorably (higher for longs, lower for shorts).
Position Management: Closes opposite positions before opening new ones, simulating a single-position trading system.
Results are displayed in a table at the top-right of the chart, showing win rate and total trades. Note that backtest results reflect the indicator’s internal logic and should not be interpreted as predictive of real-world performance.
🔷Visualization and Alerts
• Trend Lines: SmartTrend3 is plotted with gradient colors reflecting trend direction and volatility cluster, accompanied by a secondary line for visual clarity.
• Signal Markers: Optional buy/sell signals are plotted as small circles with customizable colors.
• Alerts: Supports alerts for:
• Bullish and bearish trend shifts (confirmed on bar close).
Transitions to high, medium, or low volatility states.
🔷Input Parameters
• ATR Length (default: 14): Period for ATR calculation, used in volatility clustering.
• Period (default: 21): Common period for RSI, ADX, and standard deviation calculations.
• Base SmartTrend Factor (default: 2.0): Base multiplier for volatility-adjusted bands.
• SmartTrend Smoothing Length (default: 10): Length for Gaussian smoothing of the trend line.
• Show Buy/Sell Signals? (default: true): Enables/disables signal markers.
• Bullish/Bearish Color: Customizable colors for trend lines and signals.
🔷Usage Instructions
• Apply to Chart: Add the indicator to any TradingView chart.
• Configure Inputs: Adjust parameters to align with your trading style or market conditions (e.g., shorter ATR length for faster markets).
• Interpret Output:
• Trend Lines: Use SmartTrend3’s direction and color to gauge market bias.
• Signals: Monitor bullish (🐮) and bearish (🐻) markers for potential entry/exit points.
• Backtest Table: Review win rate and total trades to understand the indicator’s behavior in historical data.
• Set Alerts: Configure alerts for trend shifts or volatility changes to support manual or automated trading workflows.
• Combine with Analysis: Use the indicator alongside other tools or market context, as it is designed to complement, not replace, comprehensive analysis.
🔷Technical Notes
• Data Requirements: Requires at least 100 bars for accurate volatility clustering. Ensure sufficient historical data is loaded.
• Market Suitability: The indicator is designed for trend detection and may perform differently in ranging or volatile markets due to its reliance on RSI and ADX filters.
• Backtesting Scope: The backtest module uses SmartTrend3 values, which may differ from price-based outcomes. Results are for informational purposes only.
• Computational Intensity: The K-Means clustering and Gaussian smoothing may increase processing time on lower timeframes or with large datasets.
🔷For Developers
The script is modular, well-commented, encouraging reuse and modification with proper attribution.
Key functions include:
• gaussianSmooth: Applies Gaussian kernel smoothing to any data series.
• pineSmartTrend: Computes adaptive trend lines with volatility and momentum filters.
• getDynamicFactor: Adjusts trend sensitivity based on volatility clusters.
• get_backtest: Evaluates signal performance using SmartTrend3.
Developers can extend these functions for custom indicators or strategies, leveraging the volatility clustering and smoothing methodologies. The K-Means implementation is particularly useful for adaptive volatility analysis.
🔷Limitations
• The indicator is not predictive and should be used as part of a broader trading strategy.
• Performance varies by market, timeframe, and parameter settings, requiring user experimentation.
• Backtest results are based on historical data and internal logic, not real-world trading conditions.
• Volatility clustering assumes sufficient historical data; incomplete data may affect accuracy.
🔷Acknowledgments
Developed by Bitwardex, inspired by machine learning concepts and adaptive trading methodologies. Community feedback is welcome via TradingView’s platform.
🔷 Risk Disclaimer
Trading involves significant risks, and most traders may incur losses. Bitwardex AI Algo is provided for informational and educational purposes only and does not constitute financial advice or a recommendation to buy or sell any financial instrument . The signals, metrics, and features are tools for analysis and do not guarantee profits or specific outcomes. Past performance is not indicative of future results. Always conduct your own due diligence and consult a financial advisor before making trading decisions.
