SDCALibraryMy Valuation Library for mostly crypto currency use, but some can be applied to other assets.
There are technical and on-chain indicator functions for use.
Technical Indicators:
1. **drawdown_zscore**
- **Summary**: Calculates the z-score of drawdowns over a specified lookback period.
- **Inputs**:
- `lookback_length` (int): Period for drawdown calculation.
- `zScoreLen` (int): Length for z-score calculation.
2. **sharpe_zscore**
- **Summary**: Computes the z-score of the Sharpe ratio using returns over a period and a smoothing length.
- **Inputs**:
- `length` (int): Period for returns calculation.
- `smalen` (int): Smoothing length for returns.
- `zScoreLen` (int): Length for z-score calculation.
3. **rsi_zscore**
- **Summary**: Calculates the z-score of the Relative Strength Index (RSI) with smoothing.
- **Inputs**:
- `length` (int): Period for RSI calculation.
- `smalen` (int): Smoothing length for RSI.
- `zScoreLen` (int): Length for z-score calculation.
4. **DFATH_zscore**
- **Summary**: Computes the z-score for a specific DFATH metric (details not specified).
- **Inputs**:
- `zScoreLen` (int): Length for z-score calculation.
5. **RTI_zscore**
- **Summary**: Calculates the z-score of a trend indicator based on data count and sensitivity.
- **Inputs**:
- `trend_data_count` (int): Number of data points for trend analysis.
- `trend_sensitivity_percentage` (int): Sensitivity threshold for trend detection.
- `zScoreLen` (int): Length for z-score calculation.
On-Chain (Crypto only, mostly BTC, ETH)
6. **SOPR_zscore**
- **Summary**: Computes the z-score of Spent Output Profit Ratio (SOPR) for a specific coin.
- **Inputs**:
- `zScoreLen` (int): Length for z-score calculation.
- `coin_sopr` (string): SOPR data for the specified coin.
7. **thermocap_zscore**
- **Summary**: Calculates the z-score of the Thermocap metric using moving average and coin-specific data.
- **Inputs**:
- `ma_len` (int): Length of the moving average.
- `ma_type` (string): Type of moving average.
- `zScoreLen` (int): Length for z-score calculation.
- `coin_index` (string): Coin index data.
- `coin_blocks_mined` (string): Data on blocks mined for the coin.
8. **MVRV_zscore**
- **Summary**: Computes the z-score of the Market Value to Realized Value (MVRV) ratio.
- **Inputs**:
- `zScoreLen` (int): Length for z-score calculation.
- `coin_MC` (string): Market capitalization data.
- `coin_MC_real` (string): Realized market capitalization data.
9. **supplyinprofit_zscore**
- **Summary**: Calculates the z-score of the percentage of coin supply in profit or loss, optionally adjusted for alpha decay.
- **Inputs**:
- `isAlphaDecayAdjusted` (bool): Whether to apply alpha decay adjustment.
- `zScoreLen` (int): Length for z-score calculation.
- `coin_profit_address_percent` (string): Percentage of addresses in profit.
- `coin_loss_address_percent` (string): Percentage of addresses in loss.
10. **realized_price_zscore**
- **Summary**: Computes the z-score of the realized price based on realized market cap and supply.
- **Inputs**:
- `zScoreLen` (int): Length for z-score calculation.
- `coin_MC_real` (string): Realized market capitalization data.
- `coin_supply` (string): Coin supply data.
11. **CVVD_zscore**
- **Summary**: Calculates the z-score of Cumulative Value Days Destroyed (CVVD) metric.
- **Inputs**:
- `zScoreLen` (int): Length for z-score calculation.
- `coin_MC_real` (string): Realized market capitalization data.
- `coin_total_volume` (string): Total volume data for the coin.
12. **NUPL_zscore**
- **Summary**: Computes the z-score of Net Unrealized Profit and Loss (NUPL) metric.
- **Inputs**:
- `zScoreLen` (int): Length for z-score calculation.
- `coin_MC` (string): Market capitalization data.
- `coin_MC_real` (string): Realized market capitalization data.
Indicadores y estrategias
Moving AveragesThis indicator allows you to seamlessly apply one or multiple moving averages simultaneously on your chart. You can easily select from predefined periods: 10, 20, 50, 100, and 200.
It is pre-configured to use Exponential Moving Averages (EMA) by default, so there’s no need to input or adjust the type manually—just enable the ones you need and you're ready to go.
Ideal for traders who rely on dynamic trend analysis and want a quick, clutter-free setup for multiple EMAs
Average True Range (50%)This script is used to calculate and display the Average True Range (ATR) scaled down to 50% of its original value. ATR is a volatility indicator that measures how much the price of an asset moves within a certain period. This script allows users to choose a smoothing method to calculate the ATR, including RMA, SMA, EMA, or WMA.
Simple Position CalculatorThis indicator provides a real-time position sizing calculator designed for fast momentum trading. It instantly calculates optimal trade size based on your risk parameters, entry/exit prices, and exchange conditions (fees/slippage). Perfect for high-speed entries during candle closes and breakouts.
Double Inside Bar Alert (1-1 Only)Double Inside Bar Alert Indicator
Stay ahead of breakout opportunities with our Double Inside Bar Alert Indicator. This tool automatically scans your watchlist and notifies you in real-time whenever a double inside bar pattern appears—an advanced price action setup known for signaling strong potential breakouts or reversals.
Whether you’re a day trader or swing trader, this indicator helps you:
Spot consolidation zones early before major price moves
Receive instant alerts across your entire watchlist
Filter noise and focus on high-probability chart setups
Perfect for traders who rely on price action and want to catch momentum shifts as they form.
Choppiness ZONE OverlayPurpose
This script overlays choppiness zones directly onto the price chart to help traders identify whether the market is trending or ranging. It is designed to filter out low-probability trades during high choppiness conditions.
How It Works
Calculates the Choppiness Index over a user-defined period using ATR and price range.
Divides choppiness into four zones:
30 to 40: Low choppiness, possible trend initiation, shown in yellow.
40 to 50: Moderate choppiness, transition zone, shown in orange.
50 to 60: High choppiness, weakening momentum, shown in red.
60 and above: Extreme choppiness, avoid trading, shown in purple.
Highlights each zone with customizable color fills between the high and low of the selected range.
Triggers a real-time alert when choppiness exceeds 60.
Features
Customizable choppiness zones and color settings.
Real-time alert when market becomes extremely choppy (choppiness ≥ 60).
Visual zone overlay on the price chart.
Compatible with all timeframes.
Lightweight and responsive for scalping, intraday, or swing trading.
Tip
Use this tool as a volatility or trend filter. Combine it with momentum or trend-following indicators to improve trade selection.
MA Cross MTF Alert (Miu)This script extends the classic moving average crossover strategy with support for up to 8 user-defined symbols across 4 custom timeframes, combined with a visual and alert system designed for traders who monitor multiple assets simultaneously.
Unlike traditional MA crossover tools, this script enables traders to receive real-time alerts for crossovers across multiple assets and timeframes, even when the script is not actively displayed on the chart — ideal for passive monitoring in multi-asset strategies.
What it does:
This script calculates two customizable moving averages (SMA or EMA) for each selected symbol and timeframe.
It then tracks crossover events:
- Bullish crossover when the fast MA crosses above the slow MA
- Bearish crossunder when the fast MA crosses below the slow MA
On the chart, it also displays the crossover signals for the current symbol and timeframe using color-coded cross icons.
Key features:
- Select SMA or EMA type for both moving averages
- Customize MA lengths and colors
- Works with any asset and timeframe
- Alerts include symbol and timeframe info for easy identification
How to use:
1) Add the indicator to your chart.
2) Choose the moving average type and lengths.
3) Enable/disable any of the 8 symbols and 4 timeframes.
4) Set up TradingView alerts by clicking “Create Alert” and selecting one of the alert() calls.
5) You will receive a message like:
BTC (1h) | MA Crossover ▲ or ETH (15m) | MA Crossunder ▼
Technical note:
This script uses request.security() to retrieve moving average values from up to 8 different symbols and 4 different timeframes in real time.
Feel free to leave your feedback or suggestions in the comments section below.
Enjoy!
Avions Ultimate indicator70% wr backtest it yourself. works best on bitcoin 30m timeframe works the best for me
DrawZigZag🟩 OVERVIEW
This library draws zigzag lines for existing pivots. It is designed to be simple to use. If your script creates pivots and you want to join them up while handling edge cases, this library does that quickly and efficiently. If you want your pivots created for you, choose one of the many other zigzag libraries that do that.
🟩 HOW TO USE
Pine Script libraries contain reusable code for importing into indicators. You do not need to copy any code out of here. Just import the library and call the function you want.
For example, for version 1 of this library, import it like this:
import SimpleCryptoLife/DrawZigZag/1
See the EXAMPLE USAGE sections within the library for examples of calling the functions.
For more information on libraries and incorporating them into your scripts, see the Libraries section of the Pine Script User Manual.
🟩 WHAT IT DOES
I looked at every zigzag library on TradingView, after finishing this one. They all seemed to fall into two groups in terms of functionality:
• Create the pivots themselves, using a combination of Williams-style pivots and sometimes price distance.
• Require an array of pivot information, often in a format that uses user-defined types.
My library takes a completely different approach.
Firstly, it only does the drawing. It doesn't calculate the pivots for you. This isn't laziness. There are so many ways to define pivots and that should be up to you. If you've followed my work on market structure you know what I think of Williams pivots.
Secondly, when you pass information about your pivots to the library function, you only need the minimum of pivot information -- whether it's a High or Low pivot, the price, and the bar index. Pass these as normal variables -- bools, ints, and floats -- on the fly as your pivots confirm. It is completely agnostic as to how you derive your pivots. If they are confirmed an arbitrary number of bars after they happen, that's fine.
So why even bother using it if all it does it draw some lines?
Turns out there is quite some logic needed in order to connect highs and lows in the right way, and to handle edge cases. This is the kind of thing one can happily outsource.
🟩 THE RULES
• Zigs and zags must alternate between Highs and Lows. We never connect a High to a High or a Low to a Low.
• If a candle has both a High and Low pivot confirmed on it, the first line is drawn to the end of the candle that is the opposite to the previous pivot. Then the next line goes vertically through the candle to the other end, and then after that continues normally.
• If we draw a line up from a Low to a High pivot, and another High pivot comes in higher, we *extend* the line up, and the same for lines down. Yes this is a form of repainting. It is in my opinion the only way to end up with a correct structure.
• We ignore lower highs on the way up and higher lows on the way down.
🟩 WHAT'S COOL ABOUT THIS LIBRARY
• It's simple and lightweight: no exported user-defined types, no helper methods, no matrices.
• It's really fast. In my profiling it runs at about ~50ms, and changing the options (e.g., trimming the array) doesn't make very much difference.
• You only need to call one function, which does all the calculations and draws all lines.
• There are two variations of this function though -- one simple function that just draws lines, and one slightly more advanced method that modifies an array containing the lines. If you don't know which one you want, use the simpler one.
🟩 GEEK STUFF
• There are no dependencies on other libraries.
• I tried to make the logic as clear as I could and comment it appropriately.
• In the `f_drawZigZags` function, the line variable is declared using the `var` keyword *inside* the function, for simplicity. For this reason, it persists between function calls *only* if the function is called from the global scope or a local if block. In general, if a function is called from inside a loop , or multiple times from different contexts, persistent variables inside that function are re-initialised on each call. In this case, this re-initialisation would mean that the function loses track of the previous line, resulting in incorrect drawings. This is why you cannot call the `f_drawZigZags` function from a loop (not that there's any reason to). The `m_drawZigZagsArray` does not use any internal `var` variables.
• The function itself takes a Boolean parameter `_showZigZag`, which turns the drawings on and off, so there is no need to call the function conditionally. In the examples, we do call the functions from an if block, purely as an illustration of how to increase performance by restricting the amount of code that needs to be run.
🟩 BRING ON THE FUNCTIONS
f_drawZigZags(_showZigZag, _isHighPivot, _isLowPivot, _highPivotPrice, _lowPivotPrice, _pivotIndex, _zigzagWidth, _lineStyle, _upZigColour, _downZagColour)
This function creates or extends the latest zigzag line. Takes real-time information about pivots and draws lines. It does not calculate the pivots. It must be called once per script and cannot be called from a loop.
Parameters:
_showZigZag (bool) : Whether to show the zigzag lines.
_isHighPivot (bool) : Whether the current bar confirms a high pivot. Note that pivots are confirmed after the bar in which they occur.
_isLowPivot (bool) : Whether the current bar confirms a low pivot.
_highPivotPrice (float) : The price of the high pivot that was confirmed this bar. It is NOT the high price of the current bar.
_lowPivotPrice (float) : The price of the low pivot that was confirmed this bar. It is NOT the low price of the current bar.
_pivotIndex (int) : The bar index of the pivot that was confirmed this bar. This is not an offset. It's the `bar_index` value of the pivot.
_zigzagWidth (int) : The width of the zigzag lines.
_lineStyle (string) : The style of the zigzag lines.
_upZigColour (color) : The colour of the up zigzag lines.
_downZagColour (color) : The colour of the down zigzag lines.
Returns: The function has no explicit returns. As a side effect, it draws or updates zigzag lines.
method m_drawZigZagsArray(_a_zigZagLines, _showZigZag, _isHighPivot, _isLowPivot, _highPivotPrice, _lowPivotPrice, _pivotIndex, _zigzagWidth, _lineStyle, _upZigColour, _downZagColour, _trimArray)
Namespace types: array
Parameters:
_a_zigZagLines (array)
_showZigZag (bool) : Whether to show the zigzag lines.
_isHighPivot (bool) : Whether the current bar confirms a high pivot. Note that pivots are usually confirmed after the bar in which they occur.
_isLowPivot (bool) : Whether the current bar confirms a low pivot.
_highPivotPrice (float) : The price of the high pivot that was confirmed this bar. It is NOT the high price of the current bar.
_lowPivotPrice (float) : The price of the low pivot that was confirmed this bar. It is NOT the low price of the current bar.
_pivotIndex (int) : The bar index of the pivot that was confirmed this bar. This is not an offset. It's the `bar_index` value of the pivot.
_zigzagWidth (int) : The width of the zigzag lines.
_lineStyle (string) : The style of the zigzag lines.
_upZigColour (color) : The colour of the up zigzag lines.
_downZagColour (color) : The colour of the down zigzag lines.
_trimArray (bool) : If true, the array of lines is kept to a maximum size of two lines (the line elements are not deleted). If false (the default), the array is kept to a maximum of 500 lines (the maximum number of line objects a single Pine script can display).
Returns: This function has no explicit returns but it modifies a global array of zigzag lines.
ATR, ADX, RSI TableATR, ADX & RSI Dashboard (Color-Coded)
Overview
This indicator provides a clean, all-in-one dashboard that displays the current values for three of the most popular technical indicators: Average True Range (ATR), Average Directional Index (ADX), and Relative Strength Index (RSI).
To make analysis faster and more intuitive, the values in the table are dynamically color-coded based on key thresholds. This allows you to get an immediate visual summary of market volatility, trend strength, and momentum without cluttering your main chart area.
Features
The indicator displays a simple table in the bottom-right corner of your chart with the following color logic:
ATR (Volatility): Measures the average volatility of an asset.
Green: Low Volatility (ATR is less than 3% of the current price).
Orange: Moderate Volatility (ATR is between 3% and 5%).
Red: High Volatility (ATR is greater than 5%).
ADX (Trend Strength): Measures the strength of the underlying trend, regardless of its direction.
Red: Weak or Non-Trending Market (ADX is below 20).
Orange: Developing or Neutral Trend (ADX is between 20 and 25).
Green: Strong Trend (ADX is above 25).
RSI (Momentum): Measures the speed and change of price movements to identify overbought or oversold conditions.
Green: Potentially Oversold (RSI is below 40).
Orange: Neutral/Normal Conditions (RSI is between 40 and 70).
Red: Potentially Overbought (RSI is above 70).
How to Use
This tool is perfect for traders who want a quick, at-a-glance understanding of the current market state. Instead of analyzing three separate indicators, you can use this dashboard to:
Quickly confirm if a strong trend is present before entering a trade.
Assess volatility to adjust your stop-loss and take-profit levels.
Instantly spot potential overbought or oversold conditions.
Customization
All input lengths for the ATR, ADX, and RSI are fully customizable in the indicator's settings menu, allowing you to tailor the calculations to your specific trading style and timeframe.
Auto-Trend Finder (Pivot + ADX)Inspired in part by LuxAlgo Trendlines with Breaks. Extended and enhanced for directional clarity and pivot-based precision.
🔍 What It Does
The Auto-Trend Finder (Pivot + ADX) is a smart trend-detection toolkit that combines:
Pivot-based swing detection (HH, HL, LH, LL)
ADX-filtered trendline projections
Custom slope estimation using ATR, Standard Deviation, Linear Regression, or a blended approach
Candlestick pattern detection for added confirmation (e.g., hammer, engulfing, shooting star)
📈 How It Works
1. Swing Detection
Uses ta.pivothigh / ta.pivotlow to mark major price turning points.
Labels pivots as Higher High (HH), Lower High (LH), Lower Low (LL), or Higher Low (HL).
Optionally overlays basic candle pattern names for visual context.
2. Trendline Logic
Connects successive pivot highs/lows with real-time trendlines.
Draws separate Uptrend and Downtrend lines with distinct colors.
3. Extended Projections
Projects extended dashed lines from the last pivot using slope formulas:
ATR-based (volatility)
Stdev-based (dispersion)
Linear Regression (trend best-fit)
Or a Combined slope using user-defined weights.
Color changes dynamically on breakout to visually signal momentum shifts.
4. ADX Trend Strength Filter
Optional ADX filter disables trendline updates unless directional strength exceeds a threshold (e.g. 20+).
Helps remove noise in sideways markets.
⚠️ Important Notes
Backpainting Warning: This script includes a backpainting setting (backpaint) that may cause lines to appear "reliably predictive" in historical data. Backpainting does not repaint once the pivot is confirmed, but it still reflects a post-fact state. Use this feature cautiously in live trading decisions.
Reused Code Attribution: Extended trendline concept and breakout color logic were inspired by publicly available open-source versions of LuxAlgo's trendline logic. Credit is given in the script comments and here as required.
🛠️ How to Use It
Adjust Pivot Length for swing detection sensitivity.
Toggle ADX filtering on or off to avoid choppy signals.
Choose your preferred Slope Calculation Method.
Use candlestick labels as potential entry signals near trendline retests or breaks.
✅ Why This Is More Than a Mashup
This tool integrates several separate technical methods into one cohesive, customizable framework:
It’s not just combining indicators, it’s engineering synergy between them.
The slope and ADX filtering mechanics dynamically adjust to trend strength.
Candlestick confirmation and labeling give visual, real-time trade confidence.
It enhances open-source logic by adding modular slope options, ADX gating, pattern labeling, and user control.
"Know the structure. Follow the strength. Trade with clarity. Auto-Trend Finder is your edge in the chaos."
Discount to Net Asset ValueOverview
This indicator helps investors and analysts identify when a company’s stock is trading below or above its intrinsic value. A persistent discount may highlight potential value opportunities, while a sustained premium could signal overvaluation or strong market sentiment. By visually shading the background and plotting the discount/premium percentage, users can quickly screen for undervalued stocks, confirm fundamental research, and make more informed buy or sell decisions.
Usage
Calculates the Net Asset Value discount (or premium) for any symbol.
By default the indicator uses the current chart symbol’s TOTAL_ASSETS, TOTAL_LIABILITIES, and TOTAL_SHARES_OUTSTANDING.
You can select another symbol by checking “Use Custom Symbol” and entering the ticker of the other symbol. This is useful for comparing the Discount to NAV across symbols.
Shows the percentage discount (or premium) of market capitalization relative to net asset value.
Recommended timeframes: daily bars or higher.
Reporting Periods:
• FQ = Fiscal Quarter
• FY = Fiscal Year
• TTM = Trailing Twelve Months
Note: NAV is pulled on the chosen reporting period (FQ, FY, TTM).
By default the background is shaded red to illustrate a discount to NAV and green to illustrate a premium to NAV. This can be toggled in the settings.
Futures vs CFD Price Display
🎯 Trading the same asset in CFDs and Futures but tired of switching charts to compare prices? This is your indicator!
Stop the constant chart hopping! This live price comparison shows you instantly where the better conditions are.
✨ What you get:
Bidirectional: Works in both Futures AND CFD charts
Live prices: Real-time comparison of both markets
Spread calculation: Automatic difference in points and percentage
Fully customizable: Colors, position, size to your liking
Professional design: Clean display with symbol header
🎯 Perfect for:
Gold traders (Futures vs CFD)
Arbitrage strategies
Spread monitoring
Multi-broker comparisons
⚙️ Customization:
3 sizes (Small/Normal/Large) for all screens
4 positions available
Individual color schemes
Toggle features on/off
💡 Simply enter the symbol and keep both markets in sight!
Notice: "Co-developed with Claude AI (Anthropic) - because even AI needs to pay the server bills! 😄"
Mariam Market DashboardMariam Market Dashboard – A Quick Guide
Purpose:
Shows if the market is trending, volatile, or stuck so you can decide when to trade or wait.
How to Use
Add the indicator to your chart. Adjust basic settings like EMA, RSI, ATR lengths, and timezone if needed. Use it before entering any trade to confirm market conditions.
What Each Metric Means (with general ranges)
Session: Identifies which market session is active (New York, London, Tokyo).
Trend: Shows current market direction. “Up” means price above EMA and VWAP, “Down” means price below. Use this to confirm bullish or bearish bias.
HTF Trend: Confirms trend on a higher timeframe for stronger signals.
ATR (Average True Range): Measures market volatility or price movement speed.
Low ATR (e.g., below 0.5% of price) means quiet or slow market; high ATR (above 1% of price) means volatile or fast-moving market, good for active trades.
Strong Bar: A candlestick closing near its high (above 75% of range) indicates strong buying momentum; closing near its low indicates strong selling momentum.
Higher Volume: Volume higher than average (typically 10-20% above normal) means more market activity and stronger moves.
Volume / Avg Volume: Ratio above 1.2 (120%) shows volume is significantly higher than usual, signaling strong interest.
RVol % (Relative Volume %): Above 100% means volume is hotter than normal, increasing chances of strong moves; below 50% means low activity and possible indecision.
Delta: Difference between buying and selling volume (if available). A positive delta means buyers dominate; negative means sellers dominate.
ADX (Average Directional Index): Measures trend strength:
Below 20 means weak or no trend;
Above 25 means strong trend;
Between 20-25 is moderate trend.
RSI (Relative Strength Index): Momentum oscillator:
Below 30 = oversold (potential buy);
Above 70 = overbought (potential sell);
Between 40-60 means neutral momentum.
MACD: Confirms momentum direction:
Positive MACD histogram bars indicate bullish momentum;
Negative bars indicate bearish momentum.
Choppiness Index: Measures how much the market is ranging versus trending:
Above 60 = very choppy/sideways market;
Below 40 = trending market.
Consolidation: When true, price is stuck in a narrow range, signaling indecision. Avoid breakout trades during this.
Quick Trading Reminder
Trade only when the trend is clear and volume is above average. Avoid trading in low volume or choppy markets.
Trending Indicator: Price % of Pivots# Price % of Pivots Indicator
## Overview
A trend-following indicator that measures current price position relative to recent pivot highs and lows as percentages, providing normalized trend analysis across all timeframes and instruments.
## Key Features
- **Real-time trend table** with live signal updates (Strong Bullish/Bearish, Leaning Bullish/Bearish, Neutral)
- **Dual percentage tracking**: Price % of high pivot and low pivot % of current price
- **Universal compatibility** - works on any timeframe and asset class
- **Faster than some other trend indicators** - catches trend changes earlier with less lag
## Trading Signals
- **Bullish bias**: When price % of high pivot > low pivot % of price
- **Bearish bias**: When low pivot % of price > price % of high pivot
- **Customizable thresholds** (default 99%) with alert system
- **Color-coded backgrounds** for immediate visual confirmation
## Configuration
- Adjustable pivot lookback period (5-100 bars)
- Customizable left/right bars for pivot confirmation
- Threshold settings from 50-110% with 0.5% increments
- Full color customization for all elements
## Advantages
- **Speed**: More responsive than traditional ATR-based indicators
- **Clarity**: Clean percentage-based display with professional info table
- **Alerts**: Multiple conditions for automated and manual trading
- **Versatility**: Effective for day trading, swing trading, and multi-timeframe analysis
Perfect for traders seeking a fast, reliable trend indicator that works consistently across all markets and timeframes.
Bilateral Filter For Loop [BackQuant]Bilateral Filter For Loop
The Bilateral Filter For Loop is an advanced technical indicator designed to filter out market noise and smooth out price data, thus improving the identification of underlying market trends. It employs a bilateral filter, which is a sophisticated non-linear filter commonly used in image processing and price time series analysis. By considering both spatial and range differences between price points, this filter is highly effective at preserving significant trends while reducing random fluctuations, ultimately making it suitable for dynamic trend-following strategies.
Please take the time to read the following:
Key Features
1. Bilateral Filter Calculation:
The bilateral filter is the core of this indicator and works by applying a weight to each data point based on two factors: spatial distance and price range difference. This dual weighting process allows the filter to preserve important price movements while reducing the impact of less relevant fluctuations. The filter uses two primary parameters:
Spatial Sigma (σ_d): This parameter adjusts the weight applied based on the distance of each price point from the current price. A larger spatial sigma means more smoothing, as further away values will contribute more heavily to the result.
Range Sigma (σ_r): This parameter controls how much weight is applied based on the difference in price values. Larger price differences result in smaller weights, while similar price values result in larger weights, thereby preserving the trend while filtering out noise.
The output of this filter is a smoothed version of the original price series, which eliminates short-term fluctuations, helping traders focus on longer-term trends. The bilateral filter is applied over a rolling window, adjusting the level of smoothing dynamically based on both the distance between values and their relative price movements.
2. For Loop Calculation for Trend Scoring:
A for-loop is used to calculate the trend score based on the filtered price data. The loop compares the current value to previous values within the specified window, scoring the trend as follows:
+1 for upward movement (when the filtered value is greater than the previous value).
-1 for downward movement (when the filtered value is less than the previous value).
The cumulative result of this loop gives a continuous trend score, which serves as a directional indicator for the market's momentum. By summing the scores over the window period, the loop provides an aggregate value that reflects the overall trend strength. This score helps determine whether the market is experiencing a strong uptrend, downtrend, or sideways movement.
3. Long and Short Conditions:
Once the trend score has been calculated, it is compared against predefined threshold levels:
A long signal is generated when the trend score exceeds the upper threshold, indicating that the market is in a strong uptrend.
A short signal is generated when the trend score crosses below the lower threshold, signaling a potential downtrend or trend reversal.
These conditions provide clear signals for potential entry points, and the color-coding helps traders quickly identify market direction:
Long signals are displayed in green.
Short signals are displayed in red.
These signals are designed to provide high-confidence entries for trend-following strategies, helping traders capture profitable movements in the market.
4. Trend Background and Bar Coloring:
The script offers customizable visual settings to enhance the clarity of the trend signals. Traders can choose to:
Color the bars based on the trend direction: Bars are colored green for long signals and red for short signals.
Change the background color to provide additional context: The background will be shaded green for a bullish trend and red for a bearish trend. This visual feedback helps traders to stay aligned with the prevailing market sentiment.
These features offer a quick visual reference for understanding the market's direction, making it easier for traders to identify when to enter or exit positions.
5. Threshold Lines for Visual Feedback:
Threshold lines are plotted on the chart to represent the predefined long and short levels. These lines act as clear markers for when the market reaches a critical threshold, triggering a potential buy (long) or sell (short) signal. By showing these threshold lines on the chart, traders can quickly gauge the strength of the market and assess whether the trend is strong enough to warrant action.
These thresholds can be adjusted based on the trader's preferences, allowing them to fine-tune the indicator for different market conditions or asset behaviors.
6. Customizable Parameters for Flexibility:
The indicator offers several parameters that can be adjusted to suit individual trading preferences:
Window Period (Bilateral Filter): The window size determines how many past price values are used to calculate the bilateral filter. A larger window increases smoothing, while a smaller window results in more responsive, but noisier, data.
Spatial Sigma (σ_d) and Range Sigma (σ_r): These values control how sensitive the filter is to price changes and the distance between data points. Fine-tuning these parameters allows traders to adjust the degree of noise reduction applied to the price series.
Threshold Levels: The upper and lower thresholds determine when the trend score crosses into long or short territory. These levels can be customized to better match the trader's risk tolerance or asset characteristics.
Visual Settings: Traders can customize the appearance of the chart, including the line width of trend signals, bar colors, and background shading, to make the indicator more readable and aligned with their charting style.
7. Alerts for Trend Reversals:
The indicator includes alert conditions for real-time notifications when the market crosses the defined thresholds. Traders can set alerts to be notified when:
The trend score crosses the long threshold, signaling an uptrend.
The trend score crosses the short threshold, signaling a downtrend.
These alerts provide timely information, allowing traders to take immediate action when the market shows a significant change in direction.
Final Thoughts
The Bilateral Filter For Loop indicator is a robust tool for trend-following traders who wish to reduce market noise and focus on the underlying trend. By applying the bilateral filter and calculating trend scores, this indicator helps traders identify strong uptrends and downtrends, providing reliable entry signals with minimal market noise. The customizable parameters, visual feedback, and alerting system make it a versatile tool for traders seeking to improve their timing and capture profitable market movements.
Thus following all of the key points here are some sample backtests on the 1D Chart
Disclaimer: Backtests are based off past results, and are not indicative of the future.
INDEX:BTCUSD
INDEX:ETHUSD
CRYPTO:SOLUSD
Forex Session Levels + Dashboard (AEST)This is a script showing all the key levels you will ever need for the breakout and retest strategy.
Follow my IG:
@liviupircalabu10
Enhanced MFI Divergence with Pivot SignalsEnhanced MFI Divergence with Pivot Signals
This custom Pine Script indicator identifies bullish and bearish divergences between price action and the Money Flow Index (MFI), enhancing the trader's ability to spot potential reversal zones with visual clarity and optional confirmation filters.
📊 Key Features:
🔹 MFI Divergence Detection
The script detects:
Bullish divergence when price forms a lower low but MFI forms a higher low.
Bearish divergence when price forms a higher high but MFI forms a lower high.
🔹 Pivot-Based Logic
To ensure high-confidence signals, the script uses pivot point logic to mark local highs and lows on both price and MFI. This avoids noise and focuses only on meaningful swing points.
🔹 Optional Confirmation Filter
You can enable a filter that checks if MFI is above 50 during bullish divergence (implying buying pressure) and below 50 for bearish divergence (implying selling pressure), adding an extra layer of confirmation.
🔹 Signal Markers
Signals are visually displayed on the chart using colored triangles:
Green triangle up for bullish divergence
Red triangle down for bearish divergence
🔹 Background Color Shading
The background is optionally shaded green or red based on MFI’s relationship to its smoothed WMA, helping you visually interpret trend bias.
🔹 Pivot Point Debugging Tools
Circles and crosses mark pivot points on price and MFI for debugging and visual clarity.
🔹 Alerts Ready
Real-time alerts notify you instantly when a bullish or bearish MFI divergence occurs, allowing for quick decision-making.
⚙️ How It Helps
This indicator is designed to help traders:
Anticipate price reversals by identifying hidden strength or weakness in momentum,
Avoid false breakouts,
Confirm entries or exits based on volume-weighted momentum divergence.
It works especially well when used alongside trend-following tools like moving averages, support/resistance zones, or additional volume indicators.
Golden Key: Opening Channel DashboardGolden Key: Opening Channel Dashboard
Complementary to the original Golden Key – The Frequency
Upgrade of 10 Monday's 1H Avg Range + 30-Day Daily Range
This indicator provides a structured dashboard to monitor the opening channel range and related metrics on 15m and 5m charts. Built to work alongside the Golden Key methodology, it focuses on pip precision, average volatility, and SL sizing.
What It Does
Detects first 4 candles of the session:
15m chart → first 4 Monday candles (1 hour)
5m chart → first 4 candles of each day (20 minutes)
Calculates pip range of the opening move
Stores and averages the last 10 such ranges
Calculates daily range average over 10 or 30 days
Generates SL size based on your multiplier setting
Auto-adjusts for FX, JPY, and XAUUSD pip sizes
Displays all values in a clean table in the top-right
How to Use It
Add to a 15m or 5m chart
Compare the current opening range to the average
Use the daily average to assess broader volatility
Define SL size using the opening range x multiplier
Customize display colors per table row
About This Script
This is not a visual box-style indicator. It is designed to complement the original “Golden Key – The Frequency” by focusing on metric output. It is also an upgraded version of the earlier "10 Monday’s 1H Avg Range" script, now supporting multi-timeframe logic and additional customization.
Disclaimer
This is a technical analysis tool. It does not provide trading advice. Use it in combination with your own research and strategy.
VWAP Supply & Demand Zones PRO**Overview:**
This script represents a major evolution of the original "VWAP Supply and Demand Zones" indicator. Initially created to explore price interaction with VWAP, it has now matured into a robust and feature-rich tool for identifying high-probability zones of institutional buying and selling pressure. The update introduces volume and momentum validation, dynamic zone management, alert logic, and a visual dashboard (HUD) — all designed for improved precision and clarity. The structural improvements, anti-repainting logic, and significant added utility warranted releasing this as a new script rather than a minor update.
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### What It Does:
This indicator dynamically detects **supply and demand zones** using VWAP-based logic combined with **volume** and **momentum confirmation**. When price crosses VWAP with strength, it identifies the potential zone of excess demand (below VWAP) or supply (above VWAP), marking it visually with colored regions on the chart.
Each zone is extended for a user-defined duration, monitored for touch interactions (tests), and tracked for possible breaks. The script helps traders interpret price behavior around these institutional zones as either **reversal** opportunities or **continuation** confirmation depending on context and strategy preference.
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### How It Works:
* **VWAP Basis**: Zones are anchored at VWAP at the time of a significant cross.
* **Volume & Momentum Filters**: Crosses are only considered valid if backed by above-average volume and notable price momentum.
* **Zone Drawing**: Validated supply and demand zones are drawn as boxes on the chart. Each is extended forward for a customizable number of bars.
* **Touch Counting**: Zones track the number of price touches. Alerts are issued after a user-defined number of tests.
* **Break Detection**: If price closes significantly beyond a zone boundary, the zone is marked as broken and visually dimmed.
* **Visual Dashboard (HUD)**: A compact real-time HUD displays VWAP value, active zone counts, and current market bias.
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### How to Use It:
**Reversal Trading:**
* Look for price **rejecting** a zone after touching it.
* Use rejection candles or secondary indicators (e.g., RSI divergence) to confirm.
* These setups may offer low-risk entries when price respects the zone.
**Continuation Trading:**
* A **break of a zone** suggests strong directional bias.
* Use confirmed zone breaks to enter in the direction of momentum.
* Ideal in trending environments, especially with high volume and ATR movement.
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### Key Inputs:
* **VWAP Length**: Moving VWAP period (default: 20)
* **Zone Width %**: Percentage size of zone buffer (default: 0.5%)
* **Min Touches**: How many times price must test a zone before alerts trigger
* **Zone Extension**: How far into the future zones are projected
* **Volume & ATR Filters**: Ensure only strong, valid crossovers create zones
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### Alerts:
You can enable alerts for:
* **New zone creation**
* **Zone tests (after minimum touch count)**
* **Zone breaks**
* **VWAP crosses**
* **Active presence inside a zone (entry conditions)**
These alerts help automate market monitoring, making it suitable for discretionary or systematic workflows.
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### Why It's a New Script:
This is not a cosmetic update. The internal logic, signal generation, filtering methodology, visual engine, and UX framework have been entirely rebuilt from the ground up. The result is a highly adaptive, precision-oriented tool — appropriate for intraday scalpers and swing traders alike. It goes far beyond the original in terms of functionality and reliability, justifying a fresh release.
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### Suitable Markets and Timeframes:
* Works across all liquid markets (crypto, equities, futures, forex)
* Best used on timeframes where volume data is stable (5m and above recommended)
* Recalibrate inputs for optimal detection across instruments
HTF 3rd Weekly High/LowThis indicator plots horizontal lines for the high and low of a selected past weekly candle, allowing traders to visualize higher time frame (HTF) structure on lower time frame charts (e.g., 1H, 4H, etc.).
Features:
Custom Weekly Range Selection: Use the dropdown to choose which weekly candle to reference — from the current week (0) to up to five weeks back.
Clean Horizontal Lines: High and low levels of the selected week are drawn as persistent horizontal lines.
Automatic Text Labels: Labels like Week-3H and Week-3L are shown on the right side of the chart, matching the week selected.
Customization:
Line colors
Line width and style (solid, dotted, dashed)
Text label offset
Automatic Refresh: Levels and labels are redrawn at the start of each new week to stay current with your selection.
Market Zone Analyzer[BullByte]Understanding the Market Zone Analyzer
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1. Purpose of the Indicator
The Market Zone Analyzer is a Pine Script™ (version 6) indicator designed to streamline market analysis on TradingView. Rather than scanning multiple separate tools, it unifies four core dimensions—trend strength, momentum, price action, and market activity—into a single, consolidated view. By doing so, it helps traders:
• Save time by avoiding manual cross-referencing of disparate signals.
• Reduce decision-making errors that can arise from juggling multiple indicators.
• Gain a clear, reliable read on whether the market is in a bullish, bearish, or sideways phase, so they can more confidently decide to enter, exit, or hold a position.
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2. Why a Trader Should Use It
• Unified View: Combines all essential market dimensions into one easy-to-read score and dashboard, eliminating the need to piece together signals manually.
• Adaptability: Automatically adjusts its internal weighting for trend, momentum, and price action based on current volatility. Whether markets are choppy or calm, the indicator remains relevant.
• Ease of Interpretation: Outputs a simple “BULLISH,” “BEARISH,” or “SIDEWAYS” label, supplemented by an intuitive on-chart dashboard and an oscillator plot that visually highlights market direction.
• Reliability Features: Built-in smoothing of the net score and hysteresis logic (requiring consecutive confirmations before flips) minimize false signals during noisy or range-bound phases.
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3. Why These Specific Indicators?
This script relies on a curated set of well-established technical tools, each chosen for its particular strength in measuring one of the four core dimensions:
1. Trend Strength:
• ADX/DMI (Average Directional Index / Directional Movement Index): Measures how strong a trend is, and whether the +DI line is above the –DI line (bullish) or vice versa (bearish).
• Moving Average Slope (Fast MA vs. Slow MA): Compares a shorter-period SMA to a longer-period SMA; if the fast MA sits above the slow MA, it confirms an uptrend, and vice versa for a downtrend.
• Ichimoku Cloud Differential (Senkou A vs. Senkou B): Provides a forward-looking view of trend direction; Senkou A above Senkou B signals bullishness, and the opposite signals bearishness.
2. Momentum:
• Relative Strength Index (RSI): Identifies overbought (above its dynamically calculated upper bound) or oversold (below its lower bound) conditions; changes in RSI often precede price reversals.
• Stochastic %K: Highlights shifts in short-term momentum by comparing closing price to the recent high/low range; values above its upper band signal bullish momentum, below its lower band signal bearish momentum.
• MACD Histogram: Measures the difference between the MACD line and its signal line; a positive histogram indicates upward momentum, a negative histogram indicates downward momentum.
3. Price Action:
• Highest High / Lowest Low (HH/LL) Range: Over a defined lookback period, this captures breakout or breakdown levels. A closing price near the recent highs (with a positive MA slope) yields a bullish score, and near the lows (with a negative MA slope) yields a bearish score.
• Heikin-Ashi Doji Detection: Uses Heikin-Ashi candles to identify indecision or continuation patterns. A small Heikin-Ashi body (doji) relative to recent volatility is scored as neutral; a larger body in the direction of the MA slope is scored bullish or bearish.
• Candle Range Measurement: Compares each candle’s high-low range against its own dynamic band (average range ± standard deviation). Large candles aligning with the prevailing trend score bullish or bearish accordingly; unusually small candles can indicate exhaustion or consolidation.
4. Market Activity:
• Bollinger Bands Width (BBW): Measures the distance between BB upper and lower bands; wide bands indicate high volatility, narrow bands indicate low volatility.
• Average True Range (ATR): Quantifies average price movement (volatility). A sudden spike in ATR suggests a volatile environment, while a contraction suggests calm.
• Keltner Channels Width (KCW): Similar to BBW but uses ATR around an EMA. Provides a second layer of volatility context, confirming or contrasting BBW readings.
• Volume (with Moving Average): Compares current volume to its moving average ± standard deviation. High volume validates strong moves; low volume signals potential lack of conviction.
By combining these tools, the indicator captures trend direction, momentum strength, price-action nuances, and overall market energy, yielding a more balanced and comprehensive assessment than any single tool alone.
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4. What Makes This Indicator Stand Out
• Multi-Dimensional Analysis: Rather than relying on a lone oscillator or moving average crossover, it simultaneously evaluates trend, momentum, price action, and activity.
• Dynamic Weighting: The relative importance of trend, momentum, and price action adjusts automatically based on real-time volatility (Market Activity State). For example, in highly volatile conditions, trend and momentum signals carry more weight; in calm markets, price action signals are prioritized.
• Stability Mechanisms:
• Smoothing: The net score is passed through a short moving average, filtering out noise, especially on lower timeframes.
• Hysteresis: Both Market Activity State and the final bullish/bearish/sideways zone require two consecutive confirmations before flipping, reducing whipsaw.
• Visual Interpretation: A fully customizable on-chart dashboard displays each sub-indicator’s value, regime, score, and comment, all color-coded. The oscillator plot changes color to reflect the current market zone (green for bullish, red for bearish, gray for sideways) and shows horizontal threshold lines at +2, 0, and –2.
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5. Recommended Timeframes
• Short-Term (5 min, 15 min): Day traders and scalpers can benefit from rapid signals, but should enable smoothing (and possibly disable hysteresis) to reduce false whipsaws.
• Medium-Term (1 h, 4 h): Swing traders find a balance between responsiveness and reliability. Less smoothing is required here, and the default parameters (e.g., ADX length = 14, RSI length = 14) perform well.
• Long-Term (Daily, Weekly): Position traders tracking major trends can disable smoothing for immediate raw readings, since higher-timeframe noise is minimal. Adjust lookback lengths (e.g., increase adxLength, rsiLength) if desired for slower signals.
Tip: If you keep smoothing off, stick to timeframes of 1 h or higher to avoid excessive signal “chatter.”
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6. How Scoring Works
A. Individual Indicator Scores
Each sub-indicator is assigned one of three discrete scores:
• +1 if it indicates a bullish condition (e.g., RSI above its dynamically calculated upper bound).
• 0 if it is neutral (e.g., RSI between upper and lower bounds).
• –1 if it indicates a bearish condition (e.g., RSI below its dynamically calculated lower bound).
Examples of individual score assignments:
• ADX/DMI:
• +1 if ADX ≥ adxThreshold and +DI > –DI (strong bullish trend)
• –1 if ADX ≥ adxThreshold and –DI > +DI (strong bearish trend)
• 0 if ADX < adxThreshold (trend strength below threshold)
• RSI:
• +1 if RSI > RSI_upperBound
• –1 if RSI < RSI_lowerBound
• 0 otherwise
• ATR (as part of Market Activity):
• +1 if ATR > (ATR_MA + stdev(ATR))
• –1 if ATR < (ATR_MA – stdev(ATR))
• 0 otherwise
Each of the four main categories shares this same +1/0/–1 logic across their sub-components.
B. Category Scores
Once each sub-indicator reports +1, 0, or –1, these are summed within their categories as follows:
• Trend Score = (ADX score) + (MA slope score) + (Ichimoku differential score)
• Momentum Score = (RSI score) + (Stochastic %K score) + (MACD histogram score)
• Price Action Score = (Highest-High/Lowest-Low score) + (Heikin-Ashi doji score) + (Candle range score)
• Market Activity Raw Score = (BBW score) + (ATR score) + (KC width score) + (Volume score)
Each category’s summed value can range between –3 and +3 (for Trend, Momentum, and Price Action), and between –4 and +4 for Market Activity raw.
C. Market Activity State and Dynamic Weight Adjustments
Rather than contributing directly to the netScore like the other three categories, Market Activity determines how much weight to assign to Trend, Momentum, and Price Action:
1. Compute Market Activity Raw Score by summing BBW, ATR, KCW, and Volume individual scores (each +1/0/–1).
2. Bucket into High, Medium, or Low Activity:
• High if raw Score ≥ 2 (volatile market).
• Low if raw Score ≤ –2 (calm market).
• Medium otherwise.
3. Apply Hysteresis (if enabled): The state only flips after two consecutive bars register the same high/low/medium label.
4. Set Category Weights:
• High Activity: Trend = 50 %, Momentum = 35 %, Price Action = 15 %.
• Low Activity: Trend = 25 %, Momentum = 20 %, Price Action = 55 %.
• Medium Activity: Use the trader’s base weight inputs (e.g., Trend = 40 %, Momentum = 30 %, Price Action = 30 % by default).
D. Calculating the Net Score
5. Normalize Base Weights (so that the sum of Trend + Momentum + Price Action always equals 100 %).
6. Determine Current Weights based on the Market Activity State (High/Medium/Low).
7. Compute Each Category’s Contribution: Multiply (categoryScore) × (currentWeight).
8. Sum Contributions to get the raw netScore (a floating-point value that can exceed ±3 when scores are strong).
9. Smooth the netScore over two bars (if smoothing is enabled) to reduce noise.
10. Apply Hysteresis to the Final Zone:
• If the smoothed netScore ≥ +2, the bar is classified as “Bullish.”
• If the smoothed netScore ≤ –2, the bar is classified as “Bearish.”
• Otherwise, it is “Sideways.”
• To prevent rapid flips, the script requires two consecutive bars in the new zone before officially changing the displayed zone (if hysteresis is on).
E. Thresholds for Zone Classification
• BULLISH: netScore ≥ +2
• BEARISH: netScore ≤ –2
• SIDEWAYS: –2 < netScore < +2
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7. Role of Volatility (Market Activity State) in Scoring
Volatility acts as a dynamic switch that shifts which category carries the most influence:
1. High Activity (Volatile):
• Detected when at least two sub-scores out of BBW, ATR, KCW, and Volume equal +1.
• The script sets Trend weight = 50 % and Momentum weight = 35 %. Price Action weight is minimized at 15 %.
• Rationale: In volatile markets, strong trending moves and momentum surges dominate, so those signals are more reliable than nuanced candle patterns.
2. Low Activity (Calm):
• Detected when at least two sub-scores out of BBW, ATR, KCW, and Volume equal –1.
• The script sets Price Action weight = 55 %, Trend = 25 %, and Momentum = 20 %.
• Rationale: In quiet, sideways markets, subtle price-action signals (breakouts, doji patterns, small-range candles) are often the best early indicators of a new move.
3. Medium Activity (Balanced):
• Raw Score between –1 and +1 from the four volatility metrics.
• Uses whatever base weights the trader has specified (e.g., Trend = 40 %, Momentum = 30 %, Price Action = 30 %).
Because volatility can fluctuate rapidly, the script employs hysteresis on Market Activity State: a new High or Low state must occur on two consecutive bars before weights actually shift. This avoids constant back-and-forth weight changes and provides more stability.
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8. Scoring Example (Hypothetical Scenario)
• Symbol: Bitcoin on a 1-hour chart.
• Market Activity: Raw volatility sub-scores show BBW (+1), ATR (+1), KCW (0), Volume (+1) → Total raw Score = +3 → High Activity.
• Weights Selected: Trend = 50 %, Momentum = 35 %, Price Action = 15 %.
• Trend Signals:
• ADX strong and +DI > –DI → +1
• Fast MA above Slow MA → +1
• Ichimoku Senkou A > Senkou B → +1
→ Trend Score = +3
• Momentum Signals:
• RSI above upper bound → +1
• MACD histogram positive → +1
• Stochastic %K within neutral zone → 0
→ Momentum Score = +2
• Price Action Signals:
• Highest High/Lowest Low check yields 0 (close not near extremes)
• Heikin-Ashi doji reading is neutral → 0
• Candle range slightly above upper bound but trend is strong, so → +1
→ Price Action Score = +1
• Compute Net Score (before smoothing):
• Trend contribution = 3 × 0.50 = 1.50
• Momentum contribution = 2 × 0.35 = 0.70
• Price Action contribution = 1 × 0.15 = 0.15
• Raw netScore = 1.50 + 0.70 + 0.15 = 2.35
• Since 2.35 ≥ +2 and hysteresis is met, the final zone is “Bullish.”
Although the netScore lands at 2.35 (Bullish), smoothing might bring it slightly below 2.00 on the first bar (e.g., 1.90), in which case the script would wait for a second consecutive reading above +2 before officially classifying the zone as Bullish (if hysteresis is enabled).
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9. Correlation Between Categories
The four categories—Trend Strength, Momentum, Price Action, and Market Activity—often reinforce or offset one another. The script takes advantage of these natural correlations:
• Bullish Alignment: If ADX is strong and pointed upward, fast MA is above slow MA, and Ichimoku is positive, that usually coincides with RSI climbing above its upper bound and the MACD histogram turning positive. In such cases, both Trend and Momentum categories generate +1 or +2. Because the Market Activity State is likely High (given the accompanying volatility), Trend and Momentum weights are at their peak, so the netScore quickly crosses into Bullish territory.
• Sideways/Consolidation: During a low-volatility, sideways phase, ADX may fall below its threshold, MAs may flatten, and RSI might hover in the neutral band. However, subtle price-action signals (like a small breakout candle or a Heikin-Ashi candle with a slight bias) can still produce a +1 in the Price Action category. If Market Activity is Low, Price Action’s weight (55 %) can carry enough influence—even if Trend and Momentum are neutral—to push the netScore out of “Sideways” into a mild bullish or bearish bias.
• Opposing Signals: When Trend is bullish but Momentum turns negative (for example, price continues up but RSI rolls over), the two scores can partially cancel. Market Activity may remain Medium, in which case the netScore lingers near zero (Sideways). The trader can then wait for either a clearer momentum shift or a fresh price-action breakout before committing.
By dynamically recognizing these correlations and adjusting weights, the indicator ensures that:
• When Trend and Momentum align (and volatility supports it), the netScore leaps strongly into Bullish or Bearish.
• When Trend is neutral but Price Action shows an early move in a low-volatility environment, Price Action’s extra weight in the Low Activity State can still produce actionable signals.
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10. Market Activity State & Its Role (Detailed)
The Market Activity State is not a direct category score—it is an overarching context setter for how heavily to trust Trend, Momentum, or Price Action. Here’s how it is derived and applied:
1. Calculate Four Volatility Sub-Scores:
• BBW: Compare the current band width to its own moving average ± standard deviation. If BBW > (BBW_MA + stdev), assign +1 (high volatility); if BBW < (BBW_MA × 0.5), assign –1 (low volatility); else 0.
• ATR: Compare ATR to its moving average ± standard deviation. A spike above the upper threshold is +1; a contraction below the lower threshold is –1; otherwise 0.
• KCW: Same logic as ATR but around the KCW mean.
• Volume: Compare current volume to its volume MA ± standard deviation. Above the upper threshold is +1; below the lower threshold is –1; else 0.
2. Sum Sub-Scores → Raw Market Activity Score: Range between –4 and +4.
3. Assign Market Activity State:
• High Activity: Raw Score ≥ +2 (at least two volatility metrics are strongly spiking).
• Low Activity: Raw Score ≤ –2 (at least two metrics signal unusually low volatility or thin volume).
• Medium Activity: Raw Score is between –1 and +1 inclusive.
4. Hysteresis for Stability:
• If hysteresis is enabled, a new state only takes hold after two consecutive bars confirm the same High, Medium, or Low label.
• This prevents the Market Activity State from bouncing around when volatility is on the fence.
5. Set Category Weights Based on Activity State:
• High Activity: Trend = 50 %, Momentum = 35 %, Price Action = 15 %.
• Low Activity: Trend = 25 %, Momentum = 20 %, Price Action = 55 %.
• Medium Activity: Use trader’s base weights (e.g., Trend = 40 %, Momentum = 30 %, Price Action = 30 %).
6. Impact on netScore: Because category scores (–3 to +3) multiply by these weights, High Activity amplifies the effect of strong Trend and Momentum scores; Low Activity amplifies the effect of Price Action.
7. Market Context Tooltip: The dashboard includes a tooltip summarizing the current state—e.g., “High activity, trend and momentum prioritized,” “Low activity, price action prioritized,” or “Balanced market, all categories considered.”
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11. Category Weights: Base vs. Dynamic
Traders begin by specifying base weights for Trend Strength, Momentum, and Price Action that sum to 100 %. These apply only when volatility is in the Medium band. Once volatility shifts:
• High Volatility Overrides:
• Trend jumps from its base (e.g., 40 %) to 50 %.
• Momentum jumps from its base (e.g., 30 %) to 35 %.
• Price Action is reduced to 15 %.
Example: If base weights were Trend = 40 %, Momentum = 30 %, Price Action = 30 %, then in High Activity they become 50/35/15. A Trend score of +3 now contributes 3 × 0.50 = +1.50 to netScore; a Momentum +2 contributes 2 × 0.35 = +0.70. In total, Trend + Momentum can easily push netScore above the +2 threshold on its own.
• Low Volatility Overrides:
• Price Action leaps from its base (30 %) to 55 %.
• Trend falls to 25 %, Momentum falls to 20 %.
Why? When markets are quiet, subtle candle breakouts, doji patterns, and small-range expansions tend to foreshadow the next swing more effectively than raw trend readings. A Price Action score of +3 in this state contributes 3 × 0.55 = +1.65, which can carry the netScore toward +2—even if Trend and Momentum are neutral or only mildly positive.
Because these weight shifts happen only after two consecutive bars confirm a High or Low state (if hysteresis is on), the indicator avoids constantly flipping its emphasis during borderline volatility phases.
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12. Dominant Category Explained
Within the dashboard, a label such as “Trend Dominant,” “Momentum Dominant,” or “Price Action Dominant” appears when one category’s absolute weighted contribution to netScore is the largest. Concretely:
• Compute each category’s weighted contribution = (raw category score) × (current weight).
• Compare the absolute values of those three contributions.
• The category with the highest absolute value is flagged as Dominant for that bar.
Why It Matters:
• Momentum Dominant: Indicates that the combined force of RSI, Stochastic, and MACD (after weighting) is pushing netScore farther than either Trend or Price Action. In practice, it means that short-term sentiment and speed of change are the primary drivers right now, so traders should watch for continued momentum signals before committing to a trade.
• Trend Dominant: Means ADX, MA slope, and Ichimoku (once weighted) outweigh the other categories. This suggests a strong directional move is in place; trend-following entries or confirming pullbacks are likely to succeed.
• Price Action Dominant: Occurs when breakout/breakdown patterns, Heikin-Ashi candle readings, and range expansions (after weighting) are the most influential. This often happens in calmer markets, where subtle shifts in candle structure can foreshadow bigger moves.
By explicitly calling out which category is carrying the most weight at any moment, the dashboard gives traders immediate insight into why the netScore is tilting toward bullish, bearish, or sideways.
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13. Oscillator Plot: How to Read It
The “Net Score” oscillator sits below the dashboard and visually displays the smoothed netScore as a line graph. Key features:
1. Value Range: In normal conditions it oscillates roughly between –3 and +3, but extreme confluences can push it outside that range.
2. Horizontal Threshold Lines:
• +2 Line (Bullish threshold)
• 0 Line (Neutral midline)
• –2 Line (Bearish threshold)
3. Zone Coloring:
• Green Background (Bullish Zone): When netScore ≥ +2.
• Red Background (Bearish Zone): When netScore ≤ –2.
• Gray Background (Sideways Zone): When –2 < netScore < +2.
4. Dynamic Line Color:
• The plotted netScore line itself is colored green in a Bullish Zone, red in a Bearish Zone, or gray in a Sideways Zone, creating an immediate visual cue.
Interpretation Tips:
• Crossing Above +2: Signals a strong enough combined trend/momentum/price-action reading to classify as Bullish. Many traders wait for a clear crossing plus a confirmation candle before entering a long position.
• Crossing Below –2: Indicates a strong Bearish signal. Traders may consider short or exit strategies.
• Rising Slope, Even Below +2: If netScore climbs steadily from neutral toward +2, it demonstrates building bullish momentum.
• Divergence: If price makes a higher high but the oscillator fails to reach a new high, it can warn of weakening momentum and a potential reversal.
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14. Comments and Their Necessity
Every sub-indicator (ADX, MA slope, Ichimoku, RSI, Stochastic, MACD, HH/LL, Heikin-Ashi, Candle Range, BBW, ATR, KCW, Volume) generates a short comment that appears in the detailed dashboard. Examples:
• “Strong bullish trend” or “Strong bearish trend” for ADX/DMI
• “Fast MA above slow MA” or “Fast MA below slow MA” for MA slope
• “RSI above dynamic threshold” or “RSI below dynamic threshold” for RSI
• “MACD histogram positive” or “MACD histogram negative” for MACD Hist
• “Price near highs” or “Price near lows” for HH/LL checks
• “Bullish Heikin Ashi” or “Bearish Heikin Ashi” for HA Doji scoring
• “Large range, trend confirmed” or “Small range, trend contradicted” for Candle Range
Additionally, the top-row comment for each category is:
• Trend: “Highly Bullish,” “Highly Bearish,” or “Neutral Trend.”
• Momentum: “Strong Momentum,” “Weak Momentum,” or “Neutral Momentum.”
• Price Action: “Bullish Action,” “Bearish Action,” or “Neutral Action.”
• Market Activity: “Volatile Market,” “Calm Market,” or “Stable Market.”
Reasons for These Comments:
• Transparency: Shows exactly how each sub-indicator contributed to its category score.
• Education: Helps traders learn why a category is labeled bullish, bearish, or neutral, building intuition over time.
• Customization: If, for example, the RSI comment says “RSI neutral” despite an impending trend shift, a trader might choose to adjust RSI length or thresholds.
In the detailed dashboard, hovering over each comment cell also reveals a tooltip with additional context (e.g., “Fast MA above slow MA” or “Senkou A above Senkou B”), helping traders understand the precise rule behind that +1, 0, or –1 assignment.
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15. Real-Life Example (Consolidated)
• Instrument & Timeframe: Bitcoin (BTCUSD), 1-hour chart.
• Current Market Activity: BBW and ATR both spike (+1 each), KCW is moderately high (+1), but volume is only neutral (0) → Raw Market Activity Score = +2 → State = High Activity (after two bars, if hysteresis is on).
• Category Weights Applied: Trend = 50 %, Momentum = 35 %, Price Action = 15 %.
• Trend Sub-Scores:
1. ADX = 25 (above threshold 20) with +DI > –DI → +1.
2. Fast MA (20-period) sits above Slow MA (50-period) → +1.
3. Ichimoku: Senkou A > Senkou B → +1.
→ Trend Score = +3.
• Momentum Sub-Scores:
4. RSI = 75 (above its moving average +1 stdev) → +1.
5. MACD histogram = +0.15 → +1.
6. Stochastic %K = 50 (mid-range) → 0.
→ Momentum Score = +2.
• Price Action Sub-Scores:
7. Price is not within 1 % of the 20-period high/low and slope = positive → 0.
8. Heikin-Ashi body is slightly larger than stdev over last 5 bars with haClose > haOpen → +1.
9. Candle range is just above its dynamic upper bound but trend is already captured, so → +1.
→ Price Action Score = +2.
• Calculate netScore (before smoothing):
• Trend contribution = 3 × 0.50 = 1.50
• Momentum contribution = 2 × 0.35 = 0.70
• Price Action contribution = 2 × 0.15 = 0.30
• Raw netScore = 1.50 + 0.70 + 0.30 = 2.50 → Immediately classified as Bullish.
• Oscillator & Dashboard Output:
• The oscillator line crosses above +2 and turns green.
• Dashboard displays:
• Trend Regime “BULLISH,” Trend Score = 3, Comment = “Highly Bullish.”
• Momentum Regime “BULLISH,” Momentum Score = 2, Comment = “Strong Momentum.”
• Price Action Regime “BULLISH,” Price Action Score = 2, Comment = “Bullish Action.”
• Market Activity State “High,” Comment = “Volatile Market.”
• Weights: Trend 50 %, Momentum 35 %, Price Action 15 %.
• Dominant Category: Trend (because 1.50 > 0.70 > 0.30).
• Overall Score: 2.50, posCount = (three +1s in Trend) + (two +1s in Momentum) + (two +1s in Price Action) = 7 bullish signals, negCount = 0.
• Final Zone = “BULLISH.”
• The trader sees that both Trend and Momentum are reinforcing each other under high volatility. They might wait one more candle for confirmation but already have strong evidence to consider a long.
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Disclaimer
This indicator is strictly a technical analysis tool and does not constitute financial advice. All trading involves risk, including potential loss of capital. Past performance is not indicative of future results. Traders should:
• Always backtest the “Market Zone Analyzer ” on their chosen symbols and timeframes before committing real capital.
• Combine this tool with sound risk management, position sizing, and, if possible, fundamental analysis.
• Understand that no indicator is foolproof; always be prepared for unexpected market moves.
Goodluck
-BullByte!
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Trend Persistence Counter (TPC) by riskcipher🧭 Trend Persistence Counter (TPC) – A Simple Price Action Trend Duration Tool
Trend Persistence Counter (TPC) is a lightweight indicator that counts how long a trend persists after a breakout.
It is entirely based on price action, without using any moving averages or smoothing. The goal is to give a simple, rule-based view of trend continuity.
🧠 How It Works (Logic Overview)
This indicator switches between two modes: bullish and bearish.
If close > previous high, the counter enters bullish mode, and starts at +1
While in bullish mode:
If close >= previous low → continue the uptrend → +1 each bar
If close < previous low → trend ends → reset to 0, switch to bearish mode
If close < previous low, the counter enters bearish mode, and starts at -1
While in bearish mode:
If close <= previous high → continue the downtrend → -1 each bar
If close > previous high → trend ends → reset to 0, switch to bullish mode
This provides a bar-by-bar count of trend persistence based on whether price holds structure.
🎯 Use Cases
Track how long a trend continues after a breakout
Quickly detect when trend structure breaks
Help visually filter “strong” vs “weak” moves
Build logic-based alerts (e.g., trend continues for N bars)
🔍 Why Use This Instead of Traditional Indicators?
This is not meant to replace moving averages or trend filters.
But it offers some advantages for those who prefer structure-based logic:
Feature TPC
Based on Price Action ✅ Yes
Uses Lagging Filters ❌ No moving average or smoothing
Trend Duration Measurement ✅ Counts valid consecutive moves
Complexity ⚪ Very simple and transparent
It’s a simple concept and easy to understand, but still useful when combined with other tools or visualized on its own.
⚙️ Technical Notes
Works on any timeframe or instrument
The value is positive during bullish persistence, negative during bearish
Value resets to 0 when trend structure breaks
All logic is calculated bar-by-bar, in real time
✅ Example Usage Ideas
Highlight candles when TPC value crosses a certain threshold (e.g., strong breakout continuation)
Use the zero-cross as a potential reversal warning
Filter trend signals in your existing strategies
