MSFA_LibraryLibrary "MSFA_library"
TODO: add library description here
getDecimals()
Calculates how many decimals are on the quote price of the current market
Returns: The current decimal places on the market quote price
getPipSize(multiplier)
Calculates the pip size of the current market
Parameters:
multiplier (int) : The mintick point multiplier (1 by default, 10 for FX/Crypto/CFD but can be used to override when certain markets require)
Returns: The pip size for the current market
truncate(number, decimalPlaces)
Truncates (cuts) excess decimal places
Parameters:
number (float) : The number to truncate
decimalPlaces (simple float) : (default=2) The number of decimal places to truncate to
Returns: The given number truncated to the given decimalPlaces
toWhole(number)
Converts pips into whole numbers
Parameters:
number (float) : The pip number to convert into a whole number
Returns: The converted number
toPips(number)
Converts whole numbers back into pips
Parameters:
number (float) : The whole number to convert into pips
Returns: The converted number
getPctChange(value1, value2, lookback)
Gets the percentage change between 2 float values over a given lookback period
Parameters:
value1 (float) : The first value to reference
value2 (float) : The second value to reference
lookback (int) : The lookback period to analyze
Returns: The percent change over the two values and lookback period
random(minRange, maxRange)
Wichmann–Hill Pseudo-Random Number Generator
Parameters:
minRange (float) : The smallest possible number (default: 0)
maxRange (float) : The largest possible number (default: 1)
Returns: A random number between minRange and maxRange
bullFib(priceLow, priceHigh, fibRatio)
Calculates a bullish fibonacci value
Parameters:
priceLow (float) : The lowest price point
priceHigh (float) : The highest price point
fibRatio (float) : The fibonacci % ratio to calculate
Returns: The fibonacci value of the given ratio between the two price points
bearFib(priceLow, priceHigh, fibRatio)
Calculates a bearish fibonacci value
Parameters:
priceLow (float) : The lowest price point
priceHigh (float) : The highest price point
fibRatio (float) : The fibonacci % ratio to calculate
Returns: The fibonacci value of the given ratio between the two price points
getMA(length, maType)
Gets a Moving Average based on type (! MUST BE CALLED ON EVERY TICK TO BE ACCURATE, don't place in scopes)
Parameters:
length (simple int) : The MA period
maType (string) : The type of MA
Returns: A moving average with the given parameters
barsAboveMA(lookback, ma)
Counts how many candles are above the MA
Parameters:
lookback (int) : The lookback period to look back over
ma (float) : The moving average to check
Returns: The bar count of how many recent bars are above the MA
barsBelowMA(lookback, ma)
Counts how many candles are below the MA
Parameters:
lookback (int) : The lookback period to look back over
ma (float) : The moving average to reference
Returns: The bar count of how many recent bars are below the EMA
barsCrossedMA(lookback, ma)
Counts how many times the EMA was crossed recently (based on closing prices)
Parameters:
lookback (int) : The lookback period to look back over
ma (float) : The moving average to reference
Returns: The bar count of how many times price recently crossed the EMA (based on closing prices)
getPullbackBarCount(lookback, direction)
Counts how many green & red bars have printed recently (ie. pullback count)
Parameters:
lookback (int) : The lookback period to look back over
direction (int) : The color of the bar to count (1 = Green, -1 = Red)
Returns: The bar count of how many candles have retraced over the given lookback & direction
getBodySize()
Gets the current candle's body size (in POINTS, divide by 10 to get pips)
Returns: The current candle's body size in POINTS
getTopWickSize()
Gets the current candle's top wick size (in POINTS, divide by 10 to get pips)
Returns: The current candle's top wick size in POINTS
getBottomWickSize()
Gets the current candle's bottom wick size (in POINTS, divide by 10 to get pips)
Returns: The current candle's bottom wick size in POINTS
getBodyPercent()
Gets the current candle's body size as a percentage of its entire size including its wicks
Returns: The current candle's body size percentage
isHammer(fib, colorMatch)
Checks if the current bar is a hammer candle based on the given parameters
Parameters:
fib (float) : (default=0.382) The fib to base candle body on
colorMatch (bool) : (default=false) Does the candle need to be green? (true/false)
Returns: A boolean - true if the current bar matches the requirements of a hammer candle
isStar(fib, colorMatch)
Checks if the current bar is a shooting star candle based on the given parameters
Parameters:
fib (float) : (default=0.382) The fib to base candle body on
colorMatch (bool) : (default=false) Does the candle need to be red? (true/false)
Returns: A boolean - true if the current bar matches the requirements of a shooting star candle
isDoji(wickSize, bodySize)
Checks if the current bar is a doji candle based on the given parameters
Parameters:
wickSize (float) : (default=2) The maximum top wick size compared to the bottom (and vice versa)
bodySize (float) : (default=0.05) The maximum body size as a percentage compared to the entire candle size
Returns: A boolean - true if the current bar matches the requirements of a doji candle
isBullishEC(allowance, rejectionWickSize, engulfWick)
Checks if the current bar is a bullish engulfing candle
Parameters:
allowance (float) : (default=0) How many POINTS to allow the open to be off by (useful for markets with micro gaps)
rejectionWickSize (float) : (default=disabled) The maximum rejection wick size compared to the body as a percentage
engulfWick (bool) : (default=false) Does the engulfing candle require the wick to be engulfed as well?
Returns: A boolean - true if the current bar matches the requirements of a bullish engulfing candle
isBearishEC(allowance, rejectionWickSize, engulfWick)
Checks if the current bar is a bearish engulfing candle
Parameters:
allowance (float) : (default=0) How many POINTS to allow the open to be off by (useful for markets with micro gaps)
rejectionWickSize (float) : (default=disabled) The maximum rejection wick size compared to the body as a percentage
engulfWick (bool) : (default=false) Does the engulfing candle require the wick to be engulfed as well?
Returns: A boolean - true if the current bar matches the requirements of a bearish engulfing candle
isInsideBar()
Detects inside bars
Returns: Returns true if the current bar is an inside bar
isOutsideBar()
Detects outside bars
Returns: Returns true if the current bar is an outside bar
barInSession(sess, useFilter)
Determines if the current price bar falls inside the specified session
Parameters:
sess (simple string) : The session to check
useFilter (bool) : (default=true) Whether or not to actually use this filter
Returns: A boolean - true if the current bar falls within the given time session
barOutSession(sess, useFilter)
Determines if the current price bar falls outside the specified session
Parameters:
sess (simple string) : The session to check
useFilter (bool) : (default=true) Whether or not to actually use this filter
Returns: A boolean - true if the current bar falls outside the given time session
dateFilter(startTime, endTime)
Determines if this bar's time falls within date filter range
Parameters:
startTime (int) : The UNIX date timestamp to begin searching from
endTime (int) : the UNIX date timestamp to stop searching from
Returns: A boolean - true if the current bar falls within the given dates
dayFilter(monday, tuesday, wednesday, thursday, friday, saturday, sunday)
Checks if the current bar's day is in the list of given days to analyze
Parameters:
monday (bool) : Should the script analyze this day? (true/false)
tuesday (bool) : Should the script analyze this day? (true/false)
wednesday (bool) : Should the script analyze this day? (true/false)
thursday (bool) : Should the script analyze this day? (true/false)
friday (bool) : Should the script analyze this day? (true/false)
saturday (bool) : Should the script analyze this day? (true/false)
sunday (bool) : Should the script analyze this day? (true/false)
Returns: A boolean - true if the current bar's day is one of the given days
atrFilter(atrValue, maxSize)
Parameters:
atrValue (float)
maxSize (float)
tradeCount()
Calculate total trade count
Returns: Total closed trade count
isLong()
Check if we're currently in a long trade
Returns: True if our position size is positive
isShort()
Check if we're currently in a short trade
Returns: True if our position size is negative
isFlat()
Check if we're currentlyflat
Returns: True if our position size is zero
wonTrade()
Check if this bar falls after a winning trade
Returns: True if we just won a trade
lostTrade()
Check if this bar falls after a losing trade
Returns: True if we just lost a trade
maxDrawdownRealized()
Gets the max drawdown based on closed trades (ie. realized P&L). The strategy tester displays max drawdown as open P&L (unrealized).
Returns: The max drawdown based on closed trades (ie. realized P&L). The strategy tester displays max drawdown as open P&L (unrealized).
totalPipReturn()
Gets the total amount of pips won/lost (as a whole number)
Returns: Total amount of pips won/lost (as a whole number)
longWinCount()
Count how many winning long trades we've had
Returns: Long win count
shortWinCount()
Count how many winning short trades we've had
Returns: Short win count
longLossCount()
Count how many losing long trades we've had
Returns: Long loss count
shortLossCount()
Count how many losing short trades we've had
Returns: Short loss count
breakEvenCount(allowanceTicks)
Count how many break-even trades we've had
Parameters:
allowanceTicks (float) : Optional - how many ticks to allow between entry & exit price (default 0)
Returns: Break-even count
longCount()
Count how many long trades we've taken
Returns: Long trade count
shortCount()
Count how many short trades we've taken
Returns: Short trade count
longWinPercent()
Calculate win rate of long trades
Returns: Long win rate (0-100)
shortWinPercent()
Calculate win rate of short trades
Returns: Short win rate (0-100)
breakEvenPercent(allowanceTicks)
Calculate break even rate of all trades
Parameters:
allowanceTicks (float) : Optional - how many ticks to allow between entry & exit price (default 0)
Returns: Break-even win rate (0-100)
averageRR()
Calculate average risk:reward
Returns: Average winning trade divided by average losing trade
unitsToLots(units)
(Forex) Convert the given unit count to lots (multiples of 100,000)
Parameters:
units (float) : The units to convert into lots
Returns: Units converted to nearest lot size (as float)
skipTradeMonteCarlo(chance, debug)
Checks to see if trade should be skipped to emulate rudimentary Monte Carlo simulation
Parameters:
chance (float) : The chance to skip a trade (0-1 or 0-100, function will normalize to 0-1)
debug (bool) : Whether or not to display a label informing of the trade skip
Returns: True if the trade is skipped, false if it's not skipped (idea being to include this function in entry condition validation checks)
fillCell(tableID, column, row, title, value, bgcolor, txtcolor, tooltip)
This updates the given table's cell with the given values
Parameters:
tableID (table) : The table ID to update
column (int) : The column to update
row (int) : The row to update
title (string) : The title of this cell
value (string) : The value of this cell
bgcolor (color) : The background color of this cell
txtcolor (color) : The text color of this cell
tooltip (string)
Returns: Nothing.
Cari dalam skrip untuk "文华财经tick价格"
Dark Pool Block Trades - Institutional Volume📊 Dark Pool Block Trades - Institutional Volume
Visualize where institutional money positions before major price moves occur. This indicator reveals hidden dark pool block trades that often precede significant price movements - because when smart money deploys millions and billions in strategic accumulation or distribution, retail traders need to see where it's happening.
🎯 WHY DARK POOL DATA MATTERS:
Institutions don't move large capital randomly. Dark pool block trades represent strategic positioning by sophisticated money managers with superior research and conviction. These trades create hidden support/resistance levels that often predict future price action.
The key principle: Follow institutional flow, don't fight it. When institutions get involved, they create high-probability trading opportunities.
💰 HOW INSTITUTIONS INFLUENCE PRICE:
- Large block trades establish hidden accumulation/distribution zones
- Smart money builds positions BEFORE retail awareness increases
- Institutional activity creates "footprints" at key technical levels
- These trades often signal conviction plays ahead of major moves
- Institutions typically add to winning positions throughout trends
🔍 WHAT THIS INDICATOR SHOWS:
- Visual overlay of dark pool block trades directly on price charts
- Track institutional positioning across major stocks and ETFs
- Identify accumulation/distribution zones before they become obvious to retail
- Spot high-conviction institutional trades in real-time visualization
- Customizable block trade size filters and timeframe selection
- Historical institutional activity up to 5 years or custom ranges
💡 THE TRADING ADVANTAGE:
Instead of guessing price direction, see where institutions are already positioning. When large block trades appear in dark pools, you're witnessing strategic institutional commitment that frequently leads to significant price movements.
⚡ HOW IT WORKS:
This Pine Script displays institutional dark pool transactions as visual markers on your charts. The script comes with sample data for immediate use. For expanded ticker coverage and real-time updates, external data services are available.
🎯 IDEAL FOR:
- Swing traders following institutional footprints
- Traders seeking setups backed by smart money conviction
- Position traders looking for accumulation zones
- Anyone wanting to align with institutional flow rather than fight it
🔄 SAMPLE DATA INCLUDED:
Pre-loaded with institutional activity data across popular tickers, updated daily to demonstrate how dark pool activity correlates with future price movements.
The script initially covers these tickers going back 6 months showing the top 10 trades by volume over 400,000 shares: AAPL, AMD, AMZN, ARKK, ARKW, BAC, BITO, COIN, COST, DIA, ETHA, GLD, GOOGL, HD, HYG, IBB, IWM, JNJ, JPM, LQD, MA, META, MSFT, NVDA, PG, QQQ, RIOT, SLV, SMCI, SMH, SOXX, SPY, TLT, TSLA, UNH, USO, V, VEA, VNQ, VOO, VTI, VWO, WMT, XLE, XLF, XLK, XLU, XLV, XLY
Portfolio Tracker ARJO (V-01)Portfolio Tracker ARJO (V-01)
This indicator is a user-friendly portfolio tracking tool designed for TradingView charts. It overlays a customizable table on your chart to monitor up to 15 stocks or symbols in your portfolio. It calculates real-time metrics like current market price (CMP), gains/losses, and stoploss breaches, helping you stay on top of your investments without switching between multiple charts. The table uses color-coding for quick visual insights: green for profits, red for losses, and highlights breached stoplosses in red for alerts. It also shows portfolio-wide totals for overall performance.
Key Features
Supports up to 15 Symbols: Enter stock tickers (e.g., NSE:RELIANCE or BSE:TCS) with details like buy price, date, units, and stoploss.
Symbol: The stock ticker and description.
Buy Date: When you purchased it.
Units: Number of shares/units held.
Buy Price: Your entry price.
Stop Loss: Your set stoploss level (highlighted in red if breached by CMP).
CMP: Current market price (fetched from the chart's timeframe).
% Gain/Loss: Percentage change from buy price (color-coded: green for positive, red for negative).
Gain/Loss: Total monetary gain/loss based on units.
Optional Timeframe Columns: Toggle to show % change over 1 Week (1W), 1 Month (1M), 3 Months (3M), and 6 Months (6M) for historical performance.
Portfolio Summary: At the top of the table, see total % gain/loss and absolute gain/loss for your entire portfolio.
Visual Customizations: Adjust table position (e.g., Top Right), size, colors for positive/negative values, and intensity cutoff for gradients.
Benchmark Index-Based Header: The title row's background color reflects NIFTY's weekly trend (green if above 10-week SMA, red if below) for market context.
Benchmark Index-Based Header: The title row's background color reflects NIFTY's weekly trend (green if above 10-week SMA, red if below) for market context.
How to Use It: Step-by-Step Guide
Add the Indicator to Your Chart: Search for "Portfolio Tracker ARJO (V-01)" in TradingView's indicator library and add it to any chart (preferably Daily timeframe for accuracy).
Input Your Portfolio Symbols:
Open the indicator settings (gear icon).
In the "Symbol 1" to "Symbol 15" groups, fill in:
Symbol: Enter the ticker (e.g., NSE:INFY).
Year/Month/Day: Select your buy date (e.g., 2024-07-01).
Buy Price: Your purchase price per unit.
Stoploss: Your exit price if things go south.
Units: How many shares you own.
Only fill what you need—leave extras blank. The table auto-adjusts to show only entered symbols.
Customize the Table (Optional):
In "Table settings":
Choose position (e.g., Top Right) and size (% of chart).
Toggle "Show Timeframe Columns" to add 1W/1M/3M/6M performance.
In "Color settings":
Pick colors for positive (green) and negative (red) cells.
Set "Color intensity cutoff (%)" to control how strong the colors get (e.g., 10% means changes above 10% max out the color).
Interpret the Table on Your Chart:
The table appears overlaid—scan rows for each symbol's stats.
Look at colors: Greener = better gains; redder = bigger losses.
Check CMP cell: Red means stoploss breached—consider selling!
Portfolio Gain/Loss at the top gives a quick overall health check.
For Best Results:
Use on a Daily chart to avoid CMP errors (the script will warn if on Weekly/Monthly).
Refresh the chart or wait for a new bar if data doesn't update immediately.
For Indian stocks, prefix with NSE: or BSE: (e.g., BSE:RELIANCE).
This is for tracking only—not trading signals. Combine with your strategy.
If no symbols show, ensure inputs are valid (e.g., buy price > 0, valid date).
Finally, this tool makes it quite easy for beginners to track their portfolios, while also giving advanced traders powerful and customizable insights. I'd love to hear your feedback—happy trading!
Universal Valuation | Lyro RSUniversal Valuation
⚠️Disclaimer: This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals.
Overview
The Universal Valuation indicator helps identify whether the market is undervalued/cheap or overvalued/expensive. And another mode this indicator offers is This cutting-edge tool works flawlessly ACROSS ALL TIMEFRAMES & TICKERS/CHARTS.
By combining regular TradingView indicators & some of our valuation indicators basic/simple with advanced statistical functions, this indicator offers a powerful, universal valuation tool.
Key Features
INPUTS: The Universal Valuation indicator offers flexibility through its customizable input sections. The "Indicator Settings" let you adjust lengths for the raw indicators and statistical functions. The "Signals" section defines thresholds for background color changes, helping you visually spot key market moments. The "Colors" section allows you to pick from pre-defined schemes or personalize colors for better clarity. Lastly, the "Tables" section gives you full control over the UV table’s size and positioning, including options to overlay it on the chart or place it in the allocated space.
A DEEPER INSIGHT: This indicator is built around three distinct categories: "UVM Andromeda," "UVM Sentinel," and "UVM Nexus." Each category has three different drivers. The statistical function powering this indicator is the Z-score. The Z-score is an incredibly powerful tool that helps determine if the market is overvalued/expensive or undervalued/cheap, offering critical insights for traders."
Plotting: The plotted value represents the average of all the drivers. In other words, it is the combined average of all 9 Z-scored indicators, providing a balanced and comprehensive market valuation.
What is Z-score? & Why does this system use it?
Z-score is an advanced statistical function used to measure how far a value deviates from the average in a data set. The formula for Z-score is: (x - h) / o, where x is the observed value, h is the average (mean) of the data set, and o is the standard deviation.
This system uses the Z-score because it helps determine whether the market is overvalued or undervalued based on historical data and how we apply the calculation. By measuring how far a value deviates from the average, the Z-score provides a clearer and more objective valuation of market conditions. In our case, a Z-score of -3 indicates an undervalued market, while a Z-score of 3 signals an overvalued market.
UVM Andromeda:
UVM stands for Universal Valuation Model, which is the core of this indicator. Andromeda, one of the most stunning galaxies in the universe, inspired by its name. We chose this name because a powerful indicator should not only be effective but also visually appealing.
You might be wondering what drives UVM Andromeda. The three key drivers are Price, RSI, and ROC. These indicators are pre-defined, while the "Indicator Settings" allow you to adjust the length of the Z-score calculation, refining how the model analyzes market conditions.
UVM Sentinel:
Sentinel, refers to a guard or watchman, someone or something that keeps watch and provides protection. In our case this name refers to a model that actively observes market conditions, acting as a vigilant tool that signals important shifts in valuation.
Wondering what drives UVM Sentinel? The three key drivers are BB%, CCI, and Crosby. While these indicators are simple on their own, applying our Z-score function elevates them to a whole new level, enhancing their ability to detect market conditions with greater accuracy.
UVM Nexus:
We chose the name Nexus simply because it sounds cool—there’s no deeper meaning behind it for us. However, the word itself does have a meaning; it refers to a connection or link between multiple things.
The three key drivers for UVM Nexus are the Sharpe, Sortino, and Omega ratios. These are all asset performance metrics, but by applying the Z-score, we transform them into powerful valuation indicators/drivers, giving you a deeper insight into market conditions.
Why do we use 9 different indicators instead of 1?
That's a great question, and the answer is quite simple. Think of it like this: if you have one super soldier, and they miss a shot, it’s game over. But if you have many soldiers, even if one misses, the others can step in and take the shot. The strength of using multiple indicators lies in their collective power – if one misses, the others still provide valuable insights, making the overall system more reliable.
Final Thoughts:
In our Universal Valuation indicator, you have the flexibility to customize it however you like using our inputs. The system is divided into three distinct categories, with each category containing three indicators. The value plotted on the chart is the average of all nine indicators. We apply the Z-score, an advanced statistical function, to each of these nine indicators. The final plotted average is the average of all the Z-scores, giving you a comprehensive and refined market valuation. This indicator can work on any timeframe & chart ticker.
Sector SPDR ETFsThis script automatically identifies the SPDR sector ETF that corresponds to the currently viewed US stock ticker. It maps over 500 US-listed stocks to their respective SPDR sector ETFs — such as XLK (Technology), XLF (Financials), XLY (Consumer Discretionary), and others — based on pre-defined symbol lists.
When applied to a chart, the script displays a label below the last candle showing the SPDR sector symbol (e.g., "XLE" for Energy stocks like XOM). This allows traders and investors to quickly understand the sector classification of any stock they analyze.
Key Features:
Maps tickers to SPDR sector ETFs: XLC, XLY, XLP, XLE, XLF, XLV, XLI, XLB, XLRE, XLK, and XLU.
Displays the corresponding sector label on the chart.
Helpful for sector rotation strategies, macro analysis, or thematic investing.
Options Strategy V1.3📈 Options Strategy V1.3 — EMA Crossover + RSI + ATR + Opening Range
Overview:
This strategy is designed for short-term directional trades on large-cap stocks or ETFs, especially when trading options. It combines classic trend-following signals with momentum confirmation, volatility-based risk management, and session timing filters to help identify high-probability entries with predefined stop-loss and profit targets.
🔍 Strategy Components:
EMA Crossover (Fast/Slow)
Entry signals are triggered by the crossover of a short EMA above or below a long EMA — a traditional trend-following method to detect shifts in momentum.
RSI Filter
RSI confirms the signal by avoiding entries in overbought/oversold zones unless certain momentum conditions are met.
Long entry requires RSI ≥ Long Threshold
Short entry requires RSI ≤ Short Threshold
ATR-Based SL & TP
Stop-loss is set dynamically as a multiple of ATR below (long) or above (short) the entry price.
Take-profit is placed as a ratio (TP/SL) of the stop distance, ensuring consistent reward/risk structure.
Opening Range Filter (Optional)
If enabled, the strategy only triggers trades after price breaks out of the 09:30–09:45 EST range, ensuring participation in directional moves.
Session Filters
No trades from 04:00 to 09:30 and from 16:00 to 20:00 EST, avoiding low-liquidity periods.
All open trades are closed at 15:55 EST, to avoid overnight risk or expiration issues for options.
⚙️ Built-in Presets:
You can choose one of the built-in ticker-specific presets for optimal conditions:
Ticker EMAs RSI (Long/Short) ATR SL×ATR TP/SL
SPY 8/28 56 / 26 14 1.4× 4.0×
TSLA 23/27 56 / 33 13 1.4× 3.6×
AAPL 6/13 61 / 26 23 1.4× 2.1×
MSFT 25/32 54 / 26 14 1.2× 2.2×
META 25/32 53 / 26 17 1.8× 2.3×
AMZN 28/32 55 / 25 16 1.8× 2.3×
You can also choose "Custom" to fully configure all parameters to your own market and strategy preferences.
📌 Best Use Case:
This strategy is especially suited for intraday options trading, where timing and risk control are critical. It works best on liquid tickers with strong trends or clear breakout behavior.
Oculus Ultra Parallel S/R Channel**Oculus Ultra Parallel S/R Channel**
*Version 1.0 | Pine Script v6*
**Overview**
This indicator overlays a statistically-driven support/resistance channel on your chart by fitting a linear regression (median) line and plotting parallel bands at a configurable multiple of standard deviation. It adapts dynamically to both trend and volatility, highlights potential reaction zones, and offers optional alerts when price touches key levels.
**Key Features**
* **Median Regression Line**
Fits a best-fit line through the chosen lookback of price data, showing the underlying trend.
* **Volatility-Based Bands**
Upper and lower bands offset by *N*× standard deviation of regression residuals, capturing dynamic S/R zones.
* **Dynamic Coloring**
* Median line turns **teal** when sloping up, **orange** when sloping down.
* Bands tinted green or red depending on their position relative to the median.
* **Channel Fill**
Optional shaded area between the bands for immediate visual context.
* **Touch Alerts**
Precision alerts and on-chart markers when price touches the support or resistance band, with configurable tick tolerance.
* **Clean Layout**
Minimal lines and plots to avoid chart clutter, adjustable via toggle inputs.
**How to Use**
1. **Apply the Script** – Add to any timeframe in overlay mode.
2. **Configure Inputs** –
* **Channel Length**: Number of bars for regression and volatility calculation.
* **Deviation Factor**: Multiplier for band width (in standard deviations).
* **Show/Hide Elements**: Toggle median line, bands, fill, and touch alerts.
* **Color by Slope**: Enable slope-based median coloring.
* **Touch Tolerance**: Number of ticks within which a band touch is registered.
3. **Interpret the Channel** –
* **Trend**: Follow the slope and color of the median line.
* **Support/Resistance**: Bands represent dynamic zones where price often reacts.
* **Alerts**: Use touch markers or alert pop-ups to time entries or exits at band levels.
**Inputs**
* **Channel Length** (default: 100)
* **Deviation Factor** (default: 1.0)
* **Show Median Regression Line** (true/false)
* **Show Channel Bands** (true/false)
* **Fill Between Bands** (true/false)
* **Color Median by Slope** (true/false)
* **Alert on Band Touch** (true/false)
* **Touch Tolerance (ticks)** (default: 2)
**Version History**
* **1.0** – Initial release with dynamic regression channel, slope coloring, band fill, and touch alerts.
**Disclaimer**
This indicator is intended for educational purposes. Always backtest with your own settings and apply sound risk management before trading live.
Trend Volatility Index (TVI)Trend Volatility Index (TVI)
A robust nonparametric oscillator for structural trend volatility detection
⸻
What is this?
TVI is a volatility oscillator designed to measure the strength and emergence of price trends using nonparametric statistics.
It calculates a U-statistic based on the Gini mean difference across multiple simple moving averages.
This allows for objective, robust, and unbiased quantification of trend volatility in tick-scale values.
⸻
What can it do?
• Quantify trend strength as a continuous value aligned with tick price scale
• Detect trend breakouts and volatility expansions
• Identify range-bound market states
• Detect early signs of new trends with minimal lag
⸻
What can’t it do?
• Predict future price levels
• Predict trend direction before confirmation
⸻
How it works
TVI computes a nonparametric dispersion metric (Gini mean difference) from multiple SMAs of different lengths.
As this metric shares the same dimension as price ticks, it can be directly interpreted on the chart as a volatility gauge.
The output is plotted using candlestick-style charts to enhance visibility of change rate and trend behavior.
⸻
Disclaimer
TVI does not predict price. It is a structural indicator designed to support discretionary judgment.
Trading carries inherent risk, and this tool does not guarantee profitability. Use at your own discretion.
⸻
Innovation
This indicator introduces a novel approach to trend volatility by applying U-statistics over time series
to produce a nonparametric, unbiased, and robust estimate of structural volatility.
日本語要約
Trend Volatility Index (TVI) は、ノンパラメトリックなU統計量（Gini平均差）を使ってトレンドの強度を客観的に測定することを目的に開発されたボラティリティ・オシレーターです。
ティック単位で連続的に変化し、トレンドのブレイク・レンジ・初動の予兆を定量的に検出します。
未来の価格や方向は予測せず、現在の構造的ばらつきだけをロバストに評価します。
Dynamic Portfolio TrackerDynamic Portfolio Tracker
The Dynamic Portfolio Tracker is a visual tool for actively managing and monitoring a multi-asset portfolio directly on TradingView. It allows users to input up to 15 custom assets (with a default setup for 5), define how much of each asset they hold, and assign a target allocation percentage to each. The script then calculates live market prices, total portfolio value, current vs. target weightings, and provides clear, color-coded instructions on whether to buy, sell, or hold each asset. It displays all this data in an on-chart table, showing both the dollar amount and the quantity to adjust for each asset, helping users keep their portfolio aligned with their strategy in real time.
How to Use the Inputs (What Each Field Means)
1. Portfolio Assets (Tickers)
Fields: Asset 1 Ticker, Asset 2 Ticker, …, Asset 15 Ticker
What it does: Lets you select which assets (crypto, stocks, etc.) you want to track. These are live symbols pulled from TradingView.
2. Asset Quantities
Fields: Asset 1 Amount, Asset 2 Amount, …, Asset 15 Amount
What it means: How much of each asset you currently hold. For example:
• 0.03 BTC
• 2.1 ETH
Why it’s needed: The script multiplies this by the live price to calculate the current dollar value of each asset in your portfolio.
3. Target %
Fields: Asset 1 Implied %, Asset 2 Implied %, …, Asset 15 Implied %
What it means: Your desired allocation for each asset. For example:
• 40% BTC
• 20% ETH
• 10% SOL, etc.
Important: These must total 100% or less across all assets. The script checks this and shows an error if the total exceeds 100%.
The Dynamic Portfolio Tracker displays two powerful on-chart tables:
1. Main Table — Per Asset Breakdown
This table shows detailed, real-time information for each asset in your portfolio. Each row represents a different asset, and each column has a specific meaning:
Column What It Means
Asset = The symbol of the asset (e.g., BTCUSD, ETHUSD), auto-stripped from the exchange name.
Price = The current market price of the asset, pulled live from TradingView.
Quantity = How much of that asset you currently hold, entered manually in the inputs.
Target % = The percentage of your total portfolio you want this asset to represent.
Actual % = What percentage of your portfolio it currently makes up (based on price × quantity).
Target Value = How much (in $) this asset should be worth in your portfolio.
Actual Value = How much (in $) this asset is currently worth.
Instruction = Whether to Buy, Sell, or Hold to match your target allocation.
Value Change = The dollar amount you’d need to buy/sell to rebalance this asset.
Units to Trade = The number of asset units to buy/sell to reach the target value.
2. Portfolio Summary Table — Portfolio Totals
This smaller table appears in the top-right corner and summarizes your entire portfolio at a glance:
Target % = Total of all your assigned target allocations (should equal 100%).
Actual % = Actual portfolio composition (always 100% unless your capital is zero).
Target Value = Total value your portfolio should be based on your target percentages.
Actual Value = Current live total value of your portfolio.
If there’s a discrepancy between Target Value and Actual Value, the difference is shown in each row of the main table, so you can adjust individual assets accordingly.
Privacy First: Hide Sensitive Financial Data
A unique feature of this tool is the ability to hide sensitive financial data, such as:
• Target Value
• Actual Value
• Total Portfolio Value
You can turn these off using toggle settings, and they’ll be replaced with a crossed-out eye icon (👁️🗨️) — just like on modern crypto exchanges. This feature makes the script safe for streaming, screenshots, or sharing publicly while protecting your privacy.
But more importantly:
Feelings are the enemy of good investing.
Seeing the value of your portfolio fluctuate can trigger fear or greed. By hiding your dollar values, you’re not just securing your data — you’re reducing the temptation to react emotionally.
It’s just numbers. Systems over Feelings.
Table Automatically Adapts to Your Asset Count
The Dynamic Portfolio Tracker is designed to scale with your portfolio. Simply choose how many assets you want to track (up to 15), and the table will automatically resize to fit exactly that number — no wasted space or empty rows.
• Select 1 to 15 assets using the “Number of Assets” input
• The table expands or contracts dynamically to show only those rows
• All calculations, summaries, and layout elements adjust accordingly in real time
This keeps the interface clean, focused, and perfectly tailored to your setup — whether you’re tracking 3 coins or managing a full portfolio of 12+ tokens.
Customize Your Table to Match Your Style
The Dynamic Portfolio Tracker offers a full suite of visual customization options, allowing you to tailor the table to your charting style or stream layout. You can:
• Choose text colors for labels, values, and headers
• Set background colors for the full table and header row — or turn them off completely for a clean, transparent look
• Control border and frame settings, including color, thickness, or disabling them entirely
• Pick custom colors for Buy and Sell signals in the rebalance column
• Adjust table font size from tiny to large to match your resolution or preferences
Special Thanks
This tool wouldn’t exist without the knowledge and inspiration gained through The Real World. A sincere thank you to the Investing Master, the Guides, and Professor Adam — your frameworks and lessons brought clarity, discipline, and structure to this build.
And of course, glory to L4 — where real men are made.
Options Volume [theUltimator5]📊 Option Volume — Multi-Strike Option Flow Visualizer
The Option Volume indicator tracks and visualizes volume activity for up to 10 custom option strike symbols on any ticker. It supports both individual strike analysis and a combined cumulative volume mode, providing an intuitive view of option flow across your selected strikes.
🔧 Features:
Dynamic Strike Control: Select up to 10 strikes and customize each with ticker, expiration date (YYMMDD), and option type (Call or Put).
Volume Display Modes:
🔹 Individual: Shows a separate volume bar for each strike.
🔸 Cumulative: Combines all selected strike volumes into a single bar, colored green for Calls and red for Puts.
Customizable Table Display:
Toggle the option symbol table on/off.
Position the table in any corner of the chart.
Table cell colors match plotted bars in Individual mode, or turn red/green in Cumulative mode based on option type.
Smart Volume Filtering: Only shows volume bars on the bar where volume updates (i.e., no carryover from stale bars).
Input Efficiency: All strike prices are automatically rounded to the nearest 0.5 increment for standardized symbol formatting.
⚙️ How to Use:
Select the ticker you want to analyze.
Input the expiration date and option type (C or P).
Define strike prices (up to 10).
Toggle between Individual or Cumulative volume display.
Adjust the number of visible strikes and table position as needed.
This tool is ideal for traders looking to monitor strike-level option volume behavior, spot flow anomalies, or keep track of high-interest strike activity in real-time.
The indicator currently doesn't support multiple expiration dates or a combination of calls/puts. If you want to view multiple expirations or a both calls and puts at the same time, simply add the indicator multiple times.
Custom Performance TableThis script generates a table designed to provide a concise yet highly customizable overview of the performance of multiple financial instruments, displayed directly on the chart. The table can include up to 40 tickers, each individually configurable, with values updated in real time based on either the current chart timeframe or a specific user-selected timeframe.
NOTE : The update frequency of the table values depends on the refresh rate of the chart's main ticker to which the indicator is applied. To ensure a consistent and reliable data feed, especially when monitoring heterogeneous instruments, it is recommended to apply the indicator to a highly liquid and continuously traded asset, such as BTCUSD.
PERFORMANCE CALCULATION MODES
You can choose from three different performance calculation modes:
1) Change % (Percentage Change)
Displays the percentage change of the current price compared to the previous candle within the selected timeframe.
(Current Price - Previous Price) / Previous Price * 100
This mode provides an immediate and straightforward measure of each instrument's percentage movement, useful for quick visual comparisons of relative strength among assets.
2) Z-Score
The Z-Score measures how much the current price variation deviates from the historical average variation, relative to the standard deviation of those variations.
(Current Variation - Average Variation) / Standard Deviation of Variations
The result indicates how statistically unusual a movement is:
- Values near 0 suggest normal variations.
- Values above ±2 indicate statistically significant deviations.
This is a valuable tool for identifying overbought/oversold conditions or market stress events and is often used in mean reversion strategies.
NOTE : Due to technical constraints, Z-Score can only be calculated when the selected timeframe matches the chart's timeframe exactly.
3) RAROC (Risk-Adjusted Return on Capital)
RAROC expresses an asset's performance in relation to the risk taken, measured through its volatility (standard deviation of price).
Percentage Change / Standard Deviation of Price
It allows for an assessment of return efficiency in relation to volatility.
A high RAROC value indicates a high return relative to the risk, making it a useful tool for comparing assets with different risk profiles. It is especially suitable for portfolio selection and allocation purposes.
TABLE CONFIGURATION
Each ticker can be customized with its own label, colors, and position in the table.
Each row can display the ticker name or a custom label, which, at the user's discretion, can either replace the name or be shown as an informational tooltip.
The table can be placed anywhere on the chart using horizontal and vertical offset parameters. Thanks to offset support, you can, for example, create financial market overview layouts. This can be done by completely “cleaning” the chart from price and indicators using TradingView settings, and then displaying multiple tables simultaneously (see the example chart published here).
Advanced customization options are also available for the table's appearance, including font settings, colors, borders, and more.
CALCULATION TIMEFRAME
The indicator allows the user to force a specific timeframe (Daily, Weekly, Monthly, Yearly) when applied to intraday charts.
However, for Z-Score mode, the selected timeframe must match the chart's timeframe exactly to ensure correct computation. Otherwise, the script will halt until settings are properly adjusted.
USAGE NOTES
Custom Performance Table is a flexible and adaptable tool, suitable for both intraday operations and medium- to long-term analysis. It is designed for traders and analysts who need to compare assets based on quantitative metrics, whether simple (like percentage change) or more advanced and risk-adjusted (such as Z-Score and RAROC).
Retirement Portfolio Dashboard1. Set It Up
Paste the script into the Pine Script editor in TradingView
Add to chart (use a daily chart for any TSX ticker)
Configure the inputs on the right panel:
Choose your ETF tickers (default: VFV, XAW, XIC)
Enter your target allocations (U.S., Global, Canada, Cash)
Set your current portfolio value and contribution plan
Adjust your expected return and rebalance trigger
📊 2. What It Tracks
💼 Allocation Overview
Target vs. actual % for each asset class
CAD value of each component
Performance YTD based on Jan 2nd start
Drift % to see how far each asset has deviated
📈 Growth Forecast
Future value projection with contributions
Weighted return (based on typical historical returns)
Inflation-adjusted real return (assuming 2% inflation)
⚠ Rebalancing
If any drift exceeds your set threshold (e.g., 5%), the script:
Highlights the issue in red
Displays "⚠ Rebalance Suggested"
Triggers a TradingView alert if you've activated it
🔔 3. Set Up Alerts
Go to Alerts > Create Alert
Choose your script from the dropdown
Under Condition, select "Rebalance Alert"
Choose your desired alert type (popup, email, webhook, etc.)
✅ 4. How to Use It Effectively
Task What to Do
Monitor allocations Check dashboard weekly or monthly
Spot imbalances Use Drift % and Status (green/red)
Forecast retirement growth Adjust contributions, return rate, and horizon
Prepare to rebalance Use alerts when drift > threshold
Tune assumptions Change expected returns or inflation rate as needed
💡 Tips
You can edit return assumptions (e.g., make Global equity more conservative)
Use this on a “blank” ticker (like TSX:XIC) so you don't overlay the chart
Copy values from your broker or retirement account to update real allocations
ATR Stop BufferThe ATR Stop Buffer indicator calculates the Daily Average True Range (ATR) and converts it into ticks based on the symbol's minimum price movement. It then displays the full ATR, 2% of ATR, and 10% of ATR in a clean table format, rounded up for simplicity. This tool is ideal for traders who want to set volatility-based stop-loss levels or buffers for their trades.
Key Features:
- Uses a 14-period Daily ATR for robust volatility measurement.
- Converts ATR into ticks for precise application across different instruments.
- Table display with toggle option for flexibility.
- Perfect for risk management and trade planning.
How to Use:
1. Add the indicator to your chart.
2. Use the table values to adjust your stop-loss distances (e.g., 2% ATR for tight stops, 10% ATR for wider buffers).
3. Toggle the table off if you only need the values occasionally.
Note: Works best on instruments with defined tick sizes (e.g., futures, forex, stocks).
Multi-indicator Signal Builder [Skyrexio]Overview
Multi-Indicator Signal Builder is a versatile, all-in-one script designed to streamline your trading workflow by combining multiple popular technical indicators under a single roof. It features a single-entry, single-exit logic, intrabar stop-loss/take-profit handling, an optional time filter, a visually accessible condition table, and a built-in statistics label. Traders can choose any combination of 12+ indicators (RSI, Ultimate Oscillator, Bollinger %B, Moving Averages, ADX, Stochastic, MACD, PSAR, MFI, CCI, Heikin Ashi, and a “TV Screener” placeholder) to form entry or exit conditions. This script aims to simplify strategy creation and analysis, making it a powerful toolkit for technical traders.
Indicators Overview
1. RSI (Relative Strength Index)
Measures recent price changes to evaluate overbought or oversold conditions on a 0–100 scale.
2. Ultimate Oscillator (UO)
Uses weighted averages of three different timeframes, aiming to confirm price momentum while avoiding false divergences.
3. Bollinger %B
Expresses price relative to Bollinger Bands, indicating whether price is near the upper band (overbought) or lower band (oversold).
4. Moving Average (MA)
Smooths price data over a specified period. The script supports both SMA and EMA to help identify trend direction and potential crossovers.
5. ADX (Average Directional Index)
Gauges the strength of a trend (0–100). Higher ADX signals stronger momentum, while lower ADX indicates a weaker trend.
6. Stochastic
Compares a closing price to a price range over a given period to identify momentum shifts and potential reversals.
7. MACD (Moving Average Convergence/Divergence)
Tracks the difference between two EMAs plus a signal line, commonly used to spot momentum flips through crossovers.
8. PSAR (Parabolic SAR)
Plots a trailing stop-and-reverse dot that moves with the trend. Often used to signal potential reversals when price crosses PSAR.
9. MFI (Money Flow Index)
Similar to RSI but incorporates volume data. A reading above 80 can suggest overbought conditions, while below 20 may indicate oversold.
10. CCI (Commodity Channel Index)
Identifies cyclical trends or overbought/oversold levels by comparing current price to an average price over a set timeframe.
11. Heikin Ashi
A type of candlestick charting that filters out market noise. The script uses a streak-based approach (multiple consecutive bullish or bearish bars) to gauge mini-trends.
12. TV Screener
A placeholder condition designed to integrate external buy/sell logic (like a TradingView “Buy” or “Sell” rating). Users can override or reference external signals if desired.
Unique Features
1. Multi-Indicator Entry and Exit
You can selectively enable any subset of 12+ classic indicators, each with customizable parameters and conditions. A position opens only if all enabled entry conditions are met, and it closes only when all enabled exit conditions are satisfied, helping reduce false triggers.
2. Single-Entry / Single-Exit with Intrabar SL/TP
The script supports a single position at a time. Once a position is open, it monitors intrabar to see if the price hits your stop-loss or take-profit levels before the bar closes, making results more realistic for fast-moving markets.
3. Time Window Filter
Users may specify a start/end date range during which trades are allowed, making it convenient to focus on specific market cycles for backtesting or live trading.
4. Condition Table and Statistics
A table at the bottom of the chart lists all active entry/exit indicators. Upon each closed trade, an integrated statistics label displays net profit, total trades, win/loss count, average and median PnL, etc.
5. Seamless Alerts and Automation
Configure alerts in TradingView using “Any alert() function call.”
The script sends JSON alert messages you can route to your own webhook.
The indicator can be integrated with Skyrexio alert bots to automate execution on major cryptocurrency exchanges
6. Optional MA/PSAR Plots
For added visual clarity, optionally plot the chosen moving averages or PSAR on the chart to confirm signals without stacking multiple indicators.
Methodology
1. Multi-Indicator Entry Logic
When multiple entry indicators are enabled (e.g., RSI + Stochastic + MACD), the script requires all signals to align before generating an entry. Each indicator can be set for crossovers, crossunders, thresholds (above/below), etc. This “AND” logic aims to filter out low-confidence triggers.
2. Single-Entry Intrabar SL/TP
One Position At a Time: Once an entry signal triggers, a trade opens at the bar’s close.
Intrabar Checks: Stop-loss and take-profit levels (if enabled) are monitored on every tick. If either is reached, the position closes immediately, without waiting for the bar to end.
3. Exit Logic
All Conditions Must Agree: If the trade is still open (SL/TP not triggered), then all enabled exit indicators must confirm a closure before the script exits on the bar’s close.
4. Time Filter
Optional Trading Window: You can activate a date/time range to constrain entries and exits strictly to that interval.
Justification of Methodology
Indicator Confluence: Combining multiple tools (RSI, MACD, etc.) can reduce noise and false signals.
Intrabar SL/TP: Capturing real-time spikes or dips provides a more precise reflection of typical live trading scenarios.
Single-Entry Model: Straightforward for both manual and automated tracking (especially important in bridging to bots).
Custom Date Range: Helps refine backtesting for specific market conditions or to avoid known irregular data periods.
How to Use
1. Add the Script to Your Chart
In TradingView, open Indicators , search for “Multi-indicator Signal Builder”.
Click to add it to your chart.
2. Configure Inputs
Time Filter: Set a start and end date for trades.
Alerts Messages: Input any JSON or text payload needed by your external service or bot.
Entry Conditions: Enable and configure any indicators (e.g., RSI, MACD) for a confluence-based entry.
Close Conditions: Enable exit indicators, along with optional SL (negative %) and TP (positive %) levels.
3. Set Up Alerts
In TradingView, select “Create Alert” → Condition = “Any alert() function call” → choose this script.
Entry Alert: Triggers on the script’s entry signal.
Close Alert: Triggers on the script’s close signal (or if SL/TP is hit).
Skyrexio Alert Bots: You can route these alerts via webhook to Skyrexio alert bots to automate order execution on major crypto exchanges (or any other supported broker).
4. Visual Reference
A condition table at the bottom summarizes active signals.
Statistics Label updates automatically as trades are closed, showing PnL stats and distribution metrics.
Backtesting Guidelines
Symbol/Timeframe: Works on multiple assets and timeframes; always do thorough testing.
Realistic Costs: Adjust commissions and potential slippage to match typical exchange conditions.
Risk Management: If using the built-in stop-loss/take-profit, set percentages that reflect your personal risk tolerance.
Longer Test Horizons: Verify performance across diverse market cycles to gauge reliability.
Example of statistic calculation
Test Period: 2023-01-01 to 2025-12-31
Initial Capital: $1,000
Commission: 0.1%, Slippage ~5 ticks
Trade Count: 468 (varies by strategy conditions)
Win rate: 76% (varies by strategy conditions)
Net Profit: +96.17% (varies by strategy conditions)
Disclaimer
This indicator is provided strictly for informational and educational purposes .
It does not constitute financial or trading advice.
Past performance never guarantees future results.
Always test thoroughly in demo environments before using real capital.
Enjoy exploring the Multi-Indicator Signal Builder! Experiment with different indicator combinations and adjust parameters to align with your trading preferences, whether you trade manually or link your alerts to external automation services. Happy trading and stay safe!
Automatic comparison of symbols depending on custom listIn the indicator settings, specify a list of tickers and the corresponding symbol for comparison (e.g. TVC:DXY). Each new list must be on a separate line. The line must begin with the symbol for comparison, then an equal sign (=), and then a list of tickers separated by commas (e.g. OANDA:XAUUSD, OANDA:XAGUSD). If the ticker selected in the chart window is not found in any of the lists, then the symbol from the first list, which is specified before the equal sign, will be used as the symbol for comparison. For example:
TVC:DXY = OANDA:XAUUSD, OANDA:XAGUSD
OANDA:BCOUSD = OANDA:SPX500USD
OANDA:SPX500USD = BINANCE:BTCUSDT
***
Автоматическое сравнение символов в зависимости от настраиваемого списка
В настройках индикатора укажите список тикеров и соответствующий символ для сравнения. Каждый новый список должен быть на отдельной строке. В начале строки должен быть указан символ для сравнения (например, TVC:DXY), затем знак равенства (=) и после него список тикеров, разделенных запятыми (например, OANDA:XAUUSD, OANDA:XAGUSD). Если выбранный в окне графика тикер не будет найден ни в одном из списков, то в качестве символа для сравнения ему будет соответствовать символ из первого списка, который указан перед знаком равенства. Например:
TVC:DXY = OANDA:XAUUSD, OANDA:XAGUSD
OANDA:BCOUSD = OANDA:SPX500USD
OANDA:SPX500USD = BINANCE:BTCUSDT
Combined VolumeThis indicator displays the combined volume for all the exchanges listed in the settings menu.
For example, with the default settings, on BTCUSD the indicator will display the current market's volume AND the volume of all other major exchanges listed on TradingView.
The gray indicator value is the current exchange's volume, the colored volume is the combined volume of all other exchanges, allowing you to compare the current exchange's volume to the broad market to give you a better idea of local exchange activity versus broad market activity.
If you want to add more exchange tickers, turn "debug" mode on and a small label will appear in the top right telling you which market type & exchange ticker you're currently on. All exchange tickers must be separated by a comma.
The "Other Exchanges" input setting overrides all other lists allowing you to specify your own exchange list for assets not provided by the default settings (the indicator supports crypto, forex and stocks by default).
Cross-Asset Correlation Trend IndicatorCross-Asset Correlation Trend Indicator
This indicator uses correlations between the charted asset and ten others to calculate an overall trend prediction. Each ticker is configurable, and by analyzing the trend of each asset, the indicator predicts an average trend for the main asset on the chart. The strength of each asset's trend is weighted by its correlation to the charted asset, resulting in a single average trend signal. This can be a rather robust and effective signal, though it is often slow.
Functionality Overview :
The Cross-Asset Correlation Trend Indicator calculates the average trend of a charted asset based on the correlation and trend of up to ten other assets. Each asset is assigned a trend signal using a simple EMA crossover method (two customizable EMAs). If the shorter EMA crosses above the longer one, the asset trend is marked as positive; if it crosses below, the trend is negative. Each trend is then weighted by the correlation coefficient between that asset’s closing price and the charted asset’s closing price. The final output is an average weighted trend signal, which combines each trend with its respective correlation weight.
Input Parameters :
EMA 1 Length : Sets the period of the shorter EMA used to determine trends.
EMA 2 Length : Sets the period of the longer EMA used to determine trends.
Correlation Length : Defines the lookback period used for calculating the correlation between the charted asset and each of the other selected assets.
Asset Tickers : Each of the ten tickers is configurable, allowing you to set specific assets to analyze correlations with the charted asset.
Show Trend Table : Toggle to show or hide a table with each asset’s weighted trend. The table displays green, red, or white text for each weighted trend, indicating positive, negative, or neutral trends, respectively.
Table Position : Choose the position of the trend table on the chart.
Recommended Use :
As always, it’s essential to backtest the indicator thoroughly on your chosen asset and timeframe to ensure it aligns with your strategy. Feel free to modify the input parameters as needed—while the defaults work well for me, they may need adjustment to better suit your assets, timeframes, and trading style.
As always, I wish you the best of luck and immense fortune as you develop your systems. May this indicator help you make well-informed, profitable decisions!
Forex Heatmap█ OVERVIEW
This indicator creates a dynamic grid display of currency pair cross rates (exchange rates) and percentage changes, emulating the Cross Rates and Heat Map widgets available on our Forex page. It provides a view of realtime exchange rates for all possible pairs derived from a user-specified list of currencies, allowing users to monitor the relative performance of several currencies directly on a TradingView chart.
█ CONCEPTS
Foreign exchange
The Foreign Exchange (Forex/FX) market is the largest, most liquid financial market globally, with an average daily trading volume of over 5 trillion USD. Open 24 hours a day, five days a week, it operates through a decentralized network of financial hubs in various major cities worldwide. In this market, participants trade currencies in pairs , where the listed price of a currency pair represents the exchange rate from a given base currency to a specific quote currency . For example, the "EURUSD" pair's price represents the amount of USD (quote currency) that equals one unit of EUR (base currency). Globally, the most traded currencies include the U.S. dollar (USD), Euro (EUR), Japanese yen (JPY), British pound (GBP), and Australian dollar (AUD), with USD involved in over 87% of all trades.
Understanding the Forex market is essential for traders and investors, even those who do not trade currency pairs directly, because exchange rates profoundly affect global markets. For instance, fluctuations in the value of USD can impact the demand for U.S. exports or the earnings of companies that handle multinational transactions, either of which can affect the prices of stocks, indices, and commodities. Additionally, since many factors influence exchange rates, including economic policies and interest rate changes, analyzing the exchange rates across currencies can provide insight into global economic health.
█ FEATURES
Requesting a list of currencies
This indicator requests data for every valid currency pair combination from the list of currencies defined by the "Currency list" input in the "Settings/Inputs" tab. The list can contain up to six unique currency codes separated by commas, resulting in a maximum of 30 requested currency pairs.
For example, if the specified "Currency list" input is "CAD, USD, EUR", the indicator requests and displays relevant data for six currency pair combinations: "CADUSD", "USDCAD", "CADEUR", "EURCAD", "USDEUR", "EURUSD". See the "Grid display" section below to understand how the script organizes the requested information.
Each item in the comma-separated list must represent a valid currency code. If the "Currency list" input contains an invalid currency code, the corresponding cells for that currency in the "Cross rates" or "Heat map" grid show "NaN" values. If the list contains empty items, e.g., "CAD, ,EUR, ", the indicator ignores them in its data requests and calculations.
NOTE: Some uncommon currency pair combinations might not have data feeds available. If no available symbols provide the exchange rates between two specified currencies, the corresponding table cells show "NaN" results.
Realtime data
The indicator retrieves realtime market prices, daily price changes, and minimum tick sizes for all the currency pairs derived from the "Currency list" input. It updates the retrieved information shown in its grid display after new ticks become available to reflect the latest known values.
NOTE: Pine scripts execute on realtime bars only when new ticks are available in the chart's data feed. If no new updates are available from the chart's realtime feed, it may cause a delay in the data the indicator receives.
Grid display
This indicator displays the requested data for each currency pair in a table with cells organized as a grid. Each row name corresponds to a pair's base currency , and each column name corresponds to a quote currency . The cell at the intersection of a specific row and column shows the value requested from the corresponding currency pair.
For example, the cell at the intersection of a "EUR" row and "USD" column shows the data retrieved for the "EURUSD" currency pair, and the cell at the "USD" row and "EUR" column shows data for the inverse pair ("USDEUR").
Note that the main diagonal cells in the table, where rows and columns with the same names intersect, are blank. The exchange rate from one currency to itself is always 1, and no Forex symbols such as "EUREUR" exist.
The dropdown input at the top of the "Settings/Inputs" tab determines the type of information displayed in the table. Two options are available: "Cross rates" and "Heat map" . Both modes color their cells for light and dark themes separately based on the inputs in the "Colors" section.
Cross rates
When a user selects the "Cross rates" display mode, the table's cells show the latest available exchange rate for each currency pair, emulating the behavior of the Cross Rates widget. Each cell's value represents the amount of the quote currency (column name) that equals one unit of the base currency (row name). This display allows users to compare cross rates across currency pairs, and their inverses.
The background color of each cell changes based on the most recent update to the exchange rate, allowing users to monitor the direction of short-term fluctuations as they occur. By default, the background turns green (positive cell color) when the cross rate increases from the last recorded update and red (negative cell color) when the rate decreases. The cell's color reverts to the chart's background color after no new updates are available for 200 milliseconds.
Heat map
When a user selects the "Heat map" display mode, the table's cells show the latest daily percentage change of each currency pair, emulating the behavior of the Heat Map widget.
In this mode, the background color of each cell depends on the corresponding currency pair's daily performance. Heat maps typically use colors that vary in intensity based on the calculated values. This indicator uses the following color coding by default:
• Green (Positive cell color): Percentage change > +0.1%
• No color: Percentage change between 0.0% and +0.1%
• Bright red (Negative cell color): Percentage change < -0.1%
• Lighter/darker red (Minor negative cell color): Percentage change between 0.0% and -0.1%
█ FOR Pine Script™ CODERS
• This script utilizes dynamic requests to iteratively fetch information from multiple contexts using a single request.security() instance in the code. Previously, `request.*()` functions were not allowed within the local scopes of loops or conditional structures, and most `request.*()` function parameters, excluding `expression`, required arguments of a simple or weaker qualified type. The new `dynamic_requests` parameter in script declaration statements enables more flexibility in how scripts can use `request.*()` calls. When its value is `true`, all `request.*()` functions can accept series arguments for the parameters that define their requested contexts, and `request.*()` functions can execute within local scopes. See the Dynamic requests section of the Pine Script™ User Manual to learn more.
• Scripts can execute up to 40 unique `request.*()` function calls. A `request.*()` call is unique only if the script does not already call the same function with the same arguments. See this section of the User Manual's Limitations page for more information.
• Typically, when requesting higher-timeframe data with request.security() using barmerge.lookahead_on as the `lookahead` argument, the `expression` argument should use the history-referencing operator to offset the series, preventing lookahead bias on historical bars. However, the request.security() call in this script uses barmerge.lookahead_on without offsetting the `expression` because the script only displays results for the latest historical bar and all realtime bars, where there is no future information to leak into the past. Instead, using this call on those bars ensures each request fetches the most recent data available from each context.
• The request.security() instance in this script includes a `calc_bars_count` argument to specify that each request retrieves only a minimal number of bars from the end of each symbol's historical data feed. The script does not need to request all the historical data for each symbol because it only shows results on the last chart bar that do not depend on the entire time series. In this case, reducing the retrieved bars in each request helps minimize resource usage without impacting the calculated results.
Look first. Then leap.
JordanSwindenLibraryLibrary "JordanSwindenLibrary"
TODO: add library description here
getDecimals()
Calculates how many decimals are on the quote price of the current market
Returns: The current decimal places on the market quote price
getPipSize(multiplier)
Calculates the pip size of the current market
Parameters:
multiplier (int) : The mintick point multiplier (1 by default, 10 for FX/Crypto/CFD but can be used to override when certain markets require)
Returns: The pip size for the current market
truncate(number, decimalPlaces)
Truncates (cuts) excess decimal places
Parameters:
number (float) : The number to truncate
decimalPlaces (simple float) : (default=2) The number of decimal places to truncate to
Returns: The given number truncated to the given decimalPlaces
toWhole(number)
Converts pips into whole numbers
Parameters:
number (float) : The pip number to convert into a whole number
Returns: The converted number
toPips(number)
Converts whole numbers back into pips
Parameters:
number (float) : The whole number to convert into pips
Returns: The converted number
getPctChange(value1, value2, lookback)
Gets the percentage change between 2 float values over a given lookback period
Parameters:
value1 (float) : The first value to reference
value2 (float) : The second value to reference
lookback (int) : The lookback period to analyze
Returns: The percent change over the two values and lookback period
random(minRange, maxRange)
Wichmann–Hill Pseudo-Random Number Generator
Parameters:
minRange (float) : The smallest possible number (default: 0)
maxRange (float) : The largest possible number (default: 1)
Returns: A random number between minRange and maxRange
bullFib(priceLow, priceHigh, fibRatio)
Calculates a bullish fibonacci value
Parameters:
priceLow (float) : The lowest price point
priceHigh (float) : The highest price point
fibRatio (float) : The fibonacci % ratio to calculate
Returns: The fibonacci value of the given ratio between the two price points
bearFib(priceLow, priceHigh, fibRatio)
Calculates a bearish fibonacci value
Parameters:
priceLow (float) : The lowest price point
priceHigh (float) : The highest price point
fibRatio (float) : The fibonacci % ratio to calculate
Returns: The fibonacci value of the given ratio between the two price points
getMA(length, maType)
Gets a Moving Average based on type (! MUST BE CALLED ON EVERY TICK TO BE ACCURATE, don't place in scopes)
Parameters:
length (simple int) : The MA period
maType (string) : The type of MA
Returns: A moving average with the given parameters
barsAboveMA(lookback, ma)
Counts how many candles are above the MA
Parameters:
lookback (int) : The lookback period to look back over
ma (float) : The moving average to check
Returns: The bar count of how many recent bars are above the MA
barsBelowMA(lookback, ma)
Counts how many candles are below the MA
Parameters:
lookback (int) : The lookback period to look back over
ma (float) : The moving average to reference
Returns: The bar count of how many recent bars are below the EMA
barsCrossedMA(lookback, ma)
Counts how many times the EMA was crossed recently (based on closing prices)
Parameters:
lookback (int) : The lookback period to look back over
ma (float) : The moving average to reference
Returns: The bar count of how many times price recently crossed the EMA (based on closing prices)
getPullbackBarCount(lookback, direction)
Counts how many green & red bars have printed recently (ie. pullback count)
Parameters:
lookback (int) : The lookback period to look back over
direction (int) : The color of the bar to count (1 = Green, -1 = Red)
Returns: The bar count of how many candles have retraced over the given lookback & direction
getBodySize()
Gets the current candle's body size (in POINTS, divide by 10 to get pips)
Returns: The current candle's body size in POINTS
getTopWickSize()
Gets the current candle's top wick size (in POINTS, divide by 10 to get pips)
Returns: The current candle's top wick size in POINTS
getBottomWickSize()
Gets the current candle's bottom wick size (in POINTS, divide by 10 to get pips)
Returns: The current candle's bottom wick size in POINTS
getBodyPercent()
Gets the current candle's body size as a percentage of its entire size including its wicks
Returns: The current candle's body size percentage
isHammer(fib, colorMatch)
Checks if the current bar is a hammer candle based on the given parameters
Parameters:
fib (float) : (default=0.382) The fib to base candle body on
colorMatch (bool) : (default=false) Does the candle need to be green? (true/false)
Returns: A boolean - true if the current bar matches the requirements of a hammer candle
isStar(fib, colorMatch)
Checks if the current bar is a shooting star candle based on the given parameters
Parameters:
fib (float) : (default=0.382) The fib to base candle body on
colorMatch (bool) : (default=false) Does the candle need to be red? (true/false)
Returns: A boolean - true if the current bar matches the requirements of a shooting star candle
isDoji(wickSize, bodySize)
Checks if the current bar is a doji candle based on the given parameters
Parameters:
wickSize (float) : (default=2) The maximum top wick size compared to the bottom (and vice versa)
bodySize (float) : (default=0.05) The maximum body size as a percentage compared to the entire candle size
Returns: A boolean - true if the current bar matches the requirements of a doji candle
isBullishEC(allowance, rejectionWickSize, engulfWick)
Checks if the current bar is a bullish engulfing candle
Parameters:
allowance (float) : (default=0) How many POINTS to allow the open to be off by (useful for markets with micro gaps)
rejectionWickSize (float) : (default=disabled) The maximum rejection wick size compared to the body as a percentage
engulfWick (bool) : (default=false) Does the engulfing candle require the wick to be engulfed as well?
Returns: A boolean - true if the current bar matches the requirements of a bullish engulfing candle
isBearishEC(allowance, rejectionWickSize, engulfWick)
Checks if the current bar is a bearish engulfing candle
Parameters:
allowance (float) : (default=0) How many POINTS to allow the open to be off by (useful for markets with micro gaps)
rejectionWickSize (float) : (default=disabled) The maximum rejection wick size compared to the body as a percentage
engulfWick (bool) : (default=false) Does the engulfing candle require the wick to be engulfed as well?
Returns: A boolean - true if the current bar matches the requirements of a bearish engulfing candle
isInsideBar()
Detects inside bars
Returns: Returns true if the current bar is an inside bar
isOutsideBar()
Detects outside bars
Returns: Returns true if the current bar is an outside bar
barInSession(sess, useFilter)
Determines if the current price bar falls inside the specified session
Parameters:
sess (simple string) : The session to check
useFilter (bool) : (default=true) Whether or not to actually use this filter
Returns: A boolean - true if the current bar falls within the given time session
barOutSession(sess, useFilter)
Determines if the current price bar falls outside the specified session
Parameters:
sess (simple string) : The session to check
useFilter (bool) : (default=true) Whether or not to actually use this filter
Returns: A boolean - true if the current bar falls outside the given time session
dateFilter(startTime, endTime)
Determines if this bar's time falls within date filter range
Parameters:
startTime (int) : The UNIX date timestamp to begin searching from
endTime (int) : the UNIX date timestamp to stop searching from
Returns: A boolean - true if the current bar falls within the given dates
dayFilter(monday, tuesday, wednesday, thursday, friday, saturday, sunday)
Checks if the current bar's day is in the list of given days to analyze
Parameters:
monday (bool) : Should the script analyze this day? (true/false)
tuesday (bool) : Should the script analyze this day? (true/false)
wednesday (bool) : Should the script analyze this day? (true/false)
thursday (bool) : Should the script analyze this day? (true/false)
friday (bool) : Should the script analyze this day? (true/false)
saturday (bool) : Should the script analyze this day? (true/false)
sunday (bool) : Should the script analyze this day? (true/false)
Returns: A boolean - true if the current bar's day is one of the given days
atrFilter(atrValue, maxSize)
Parameters:
atrValue (float)
maxSize (float)
tradeCount()
Calculate total trade count
Returns: Total closed trade count
isLong()
Check if we're currently in a long trade
Returns: True if our position size is positive
isShort()
Check if we're currently in a short trade
Returns: True if our position size is negative
isFlat()
Check if we're currentlyflat
Returns: True if our position size is zero
wonTrade()
Check if this bar falls after a winning trade
Returns: True if we just won a trade
lostTrade()
Check if this bar falls after a losing trade
Returns: True if we just lost a trade
maxDrawdownRealized()
Gets the max drawdown based on closed trades (ie. realized P&L). The strategy tester displays max drawdown as open P&L (unrealized).
Returns: The max drawdown based on closed trades (ie. realized P&L). The strategy tester displays max drawdown as open P&L (unrealized).
totalPipReturn()
Gets the total amount of pips won/lost (as a whole number)
Returns: Total amount of pips won/lost (as a whole number)
longWinCount()
Count how many winning long trades we've had
Returns: Long win count
shortWinCount()
Count how many winning short trades we've had
Returns: Short win count
longLossCount()
Count how many losing long trades we've had
Returns: Long loss count
shortLossCount()
Count how many losing short trades we've had
Returns: Short loss count
breakEvenCount(allowanceTicks)
Count how many break-even trades we've had
Parameters:
allowanceTicks (float) : Optional - how many ticks to allow between entry & exit price (default 0)
Returns: Break-even count
longCount()
Count how many long trades we've taken
Returns: Long trade count
shortCount()
Count how many short trades we've taken
Returns: Short trade count
longWinPercent()
Calculate win rate of long trades
Returns: Long win rate (0-100)
shortWinPercent()
Calculate win rate of short trades
Returns: Short win rate (0-100)
breakEvenPercent(allowanceTicks)
Calculate break even rate of all trades
Parameters:
allowanceTicks (float) : Optional - how many ticks to allow between entry & exit price (default 0)
Returns: Break-even win rate (0-100)
averageRR()
Calculate average risk:reward
Returns: Average winning trade divided by average losing trade
unitsToLots(units)
(Forex) Convert the given unit count to lots (multiples of 100,000)
Parameters:
units (float) : The units to convert into lots
Returns: Units converted to nearest lot size (as float)
getFxPositionSize(balance, risk, stopLossPips, fxRate, lots)
(Forex) Calculate fixed-fractional position size based on given parameters
Parameters:
balance (float) : The account balance
risk (float) : The % risk (whole number)
stopLossPips (float) : Pip distance to base risk on
fxRate (float) : The conversion currency rate (more info below in library documentation)
lots (bool) : Whether or not to return the position size in lots rather than units (true by default)
Returns: Units/lots to enter into "qty=" parameter of strategy entry function
EXAMPLE USAGE:
string conversionCurrencyPair = (strategy.account_currency == syminfo.currency ? syminfo.tickerid : strategy.account_currency + syminfo.currency)
float fx_rate = request.security(conversionCurrencyPair, timeframe.period, close )
if (longCondition)
strategy.entry("Long", strategy.long, qty=zen.getFxPositionSize(strategy.equity, 1, stopLossPipsWholeNumber, fx_rate, true))
skipTradeMonteCarlo(chance, debug)
Checks to see if trade should be skipped to emulate rudimentary Monte Carlo simulation
Parameters:
chance (float) : The chance to skip a trade (0-1 or 0-100, function will normalize to 0-1)
debug (bool) : Whether or not to display a label informing of the trade skip
Returns: True if the trade is skipped, false if it's not skipped (idea being to include this function in entry condition validation checks)
fillCell(tableID, column, row, title, value, bgcolor, txtcolor, tooltip)
This updates the given table's cell with the given values
Parameters:
tableID (table) : The table ID to update
column (int) : The column to update
row (int) : The row to update
title (string) : The title of this cell
value (string) : The value of this cell
bgcolor (color) : The background color of this cell
txtcolor (color) : The text color of this cell
tooltip (string)
Returns: Nothing.
Sylvain Zig-Zag [MyTradingCoder]This Pine Script version of ZigZagHighLow is a faithful port of Sylvain Vervoort's original study, initially implemented in NinjaScript and later added to the thinkorswim standard library. This indicator identifies and connects swing points in price data, offering a clear visualization of market moves that exceed a specified threshold. Additionally, it now includes features for detecting and plotting support and resistance levels, enhancing its utility for technical analysis.
Overview
The Sylvain Zig-Zag study excels at highlighting significant price swings by plotting points where the price change, combined with volatility adjustments via the Average True Range (ATR), exceeds a user-defined percentage. It effectively smooths out minor fluctuations, allowing traders to focus on the primary market trends. This tool is particularly useful in identifying potential turning points, trends in price movements, and key support and resistance levels, making it a valuable addition to your technical analysis arsenal.
How It Works
The Sylvain Zig-Zag indicator works by detecting swing points in the price data and connecting them to form a zigzag pattern. A swing point is identified when the price moves a certain distance, defined by a combination of percentage change and ATR. This distance must be exceeded for a swing point to be plotted.
When the price moves upwards and exceeds the previous high by a specified percentage plus a factor of the ATR, a new high swing point is plotted. Conversely, a low swing point is plotted when the price moves downwards and exceeds the previous low by the same criteria. This ensures that only significant price moves are considered, filtering out minor fluctuations and providing a clear view of the overall market trend.
In addition to plotting zigzag lines, the indicator can now identify and draw support and resistance levels based on the detected swing points. These levels are crucial for identifying potential reversal areas and market structure.
Key Features
Swing Point Detection: Accurately identifies significant price swings by considering both percentage price change and volatility (via Average True Range).
Dynamic Support/Resistance: Automatically generates support and resistance lines based on the identified swing points, providing potential areas of price reversals.
Customizable Parameters: Tailor the indicator's sensitivity to your preferred trading style and market conditions. Adjust parameters like percentage reversal, ATR settings, and absolute/tick reversals.
Visual Clarity: Choose to display the ZigZag line, support/resistance levels, new trend icons, continuation icons, and even customize bar colors for easy visual analysis.
Trading Applications
Trend Identification: Easily visualize the prevailing market trend using the direction of the ZigZag line and support/resistance levels.
Entry/Exit Signals: Potential entry points can be identified when the price interacts with the dynamic support/resistance levels.
Stop-Loss Placement: Use recent swing points as logical places for setting stop-loss orders.
Profit Targets: Project potential price targets based on the distance between previous swing points.
Input Parameters
Several input parameters can be adjusted to customize the behavior of the Sylvain Zig-Zag indicator. These parameters allow traders to fine-tune the detection of swing points and support/resistance levels to better suit their trading strategy and the specific market conditions they are analyzing.
High Source and Low Source:
These inputs define the price points used for detecting high and low swing points, respectively. You can choose between high, low, open, or close prices for these calculations.
Percentage Reversal:
This input sets the minimum percentage change in price required for a swing to be detected. A higher percentage value will result in fewer but more significant swing points, while a lower value will detect more frequent, smaller swings.
Absolute Reversal:
This parameter allows for an additional fixed value to be added to the minimum price change and ATR change. This can be useful for increasing the distance between swing points in volatile markets.
ATR Length:
This input defines the period used for calculating the ATR, which is a measure of market volatility. A longer ATR period will smooth out the ATR calculation, while a shorter period will make it more sensitive to recent price changes.
ATR Multiplier:
This factor is applied to the ATR value to adjust the sensitivity of the swing point detection. A higher multiplier will increase the required price movement for a swing point to be plotted, reducing the number of detected swings.
Tick Reversal:
This input allows for an additional value in ticks to be added to the minimum price change and ATR change, providing further customization in the swing point detection process.
Support and Resistance:
Show S/R: Enable or disable the plotting of support and resistance levels.
Max S/R Levels: Set the maximum number of support and resistance levels to display.
S/R Line Width: Adjust the width of the support and resistance lines.
Visual Settings
The Sylvain Zig-Zag indicator also includes visual settings to enhance the clarity of the plotted swing points and trends. You can customize the color and width of the zigzag line, and enable icons to indicate new trends and continuation patterns. Additionally, the bars can be colored based on the detected trend, aiding in quick visual analysis.
Conclusion
This port of the ZigZagHighLow study from NinjaScript to Pine Script preserves the essence of Sylvain Vervoort’s methodology while adding new features for support and resistance. It provides traders with a powerful tool for technical analysis. The combination of price changes and ATR ensures that you have a robust and adaptable tool for identifying key market movements and structural levels. Customize the settings to match your trading style and gain a clearer picture of market trends, turning points, and support/resistance areas. Enjoy improved market analysis and more informed trading decisions with the Sylvain Zig-Zag indicator.
Three Bar ReversalThis script was written to make it easier to discover three bar reversal patterns.
A three bar reversal occurs when these conditions are met:
Long Setup (Reversal Up)
1. Bar 1 closes down
2. Low of Bar 2 is below the low of Bar 1 and Bar 3
3. Bar 3 closes above the high of both Bar 1 and Bar 2
Short Setup (Reversal Down)
1. Bar 1 closes up
2. High of Bar 2 is above the high of Bar 1 and Bar 3
3. Bar 3 closes below the low of both Bar 1 and Bar 2
When this indicator is added to your chart, you will see "Reversal Up" or "Reversal Down" when one of the above conditions are met.
It is recommended to use the 1 minute time frame for short scalps and 5 minute time frame for longer held day trade positions.
This indicator also has an alert option.
To enable an alert:
1. Create a new alert
2. Set condition "Reversal" and "Any alert() function call"
3. Give the alert a unique name
It is good to have an alert for different tickers and different time frames!
When the alert is triggered, you will receive a message:
Reversal up on: ticker-ID-here
or
Reversal down on: ticker-ID-here
Never miss a trade setup again!
1 Year Historical Trend AnalyzerHey everyone!
This is a new indicator of mine. If you know me, you know I really like Z-Score and there are a lot of cool things that can be done with Z-Score, especially as it pertains to trading!
This indicator uses Z-Score but in a different way from conventional Z-Score indicators (including mine). It uses Z-Score to plot out the current 1 year trend of a stock. Now, 1 year trend is not year to date (i.e. if we are in April, it is not just looking from January to April), but instead, its taking the last 1 trading year of candle data to plot out the trend, ranges and areas of z-score math based supports and resistances.
How it works:
The indicator will look at the current timeframe you are on, whether it be daily, 1 hour, 4 hours, weekly or even monthly. It will then look back the designated amount of candles that constitute 1 trading year. These are preprogrammed into the indicator so it knows to look back X number of Candles based on Y timeframe. This will give you a standard, scaled version of the past 1 year of trading data.
From there, the indicator will calculate the MAX Z-Score (or the highest Z-Score that the stock reached over the 1 trading year) and the MIN Z-score (or the lowest Z-Score that the stock reached over the 1 trading year). It plots these as a red and green line respectively:
It will then display the price that the MAX and MIN fall at. Keep in mind, the MAX and MIN price will change as the trading time elapses, but the Z-Score will remain the same until the stock does a lower or higher move from that z-score point.
It will then calculate the mean (average) of the Max and Min and then the mid points between the max and mean, and the min and mean. These all represent mathematical areas of support and resistance and key levels to watch when trading.
The indicator also has a table that is optional. The table can be toggled to either Auto or Manual. Auto will automatically calculate 5 Z-Score Points that are within the proximity of the annual trading range. However, you can select manual and input your own Z-Score values to see where the prices will fall based on the 1 year of data.
Some other options:
You can toggle on and off these midline support and resistance levels in the settings menu. Additionally, you can have the indicator plot actual scaled candles of the 1 year trading history. This is a great function to really see how the support and resistance works. Let’s take a look at RIVN, plotted as candles, on the 1 hour timeframe:
In this diagram, we can see two recent points in March where the Z-Score has acted as support for the stock. If we view this in conjunction with the actual ticker, you can see these were great buy points:
Do get this functionality, simply go into the plots menu in the settings menu and select “Plot as Candles”.
How to Use it:
While I have discussed some applications of the indicator, namely identify math supports and resistances, targets and such, there are some key things I really want to emphasize that this indicator excels at. I am going to group them for greater clarity:
All time Highs and All Time Lows:
AXP has recently been pushing ATHs. When a stock breaks an ATH or an ATL, it is said that there is no resistance or support. However, with Z-Score that is never true, there are always areas of math resistance and support. We can use this indicator to identify such areas. Let’s look at AXP:
Using this as a reference, we can see that AXP broke out of a Z-Score resistance level and re-tested the resistance as support. It held and continued up. We can see that the next area of math resistance is at 270:
And 234.65 is support. We would look for the ticker to hold this 234.65 line as support to continue the move up to the 270s.
Similar setup for ATLs with RIVN:
We can see that RIVN can indeed make a new ATL because support isn’t until 7.63.
Technical Tips on How to Use:
Because this indicator uses predefined lookback periods based on timeframes, its important that you are analyzing the data with pre-market turned off. The candles are calculated with the assumption that there is no pre-market data.
As well, the lowest timeframe that can be used to get 1 year worth of data is 1 hour. Anything below 1 hour will require you to manually input a lookback length (default is 252) which will be less than 1 year. This is simply because of the limitations of candle lookbacks through Pinescript.
That is not to say that this is not effective on smaller timeframes, it is! You just need to be sure that you understand you are not looking at a year trend worth of data. You can toggle your manual lookback parameters in the settings menu.
Concluding remarks
And that’s the indicator! I know the explanation is lengthy but I really suggest you read it carefully to understand how the indicator works and how you can best use it to analyze tickers and supplement your strategy.
Thanks for reading and safe trades as always!
Market Internals & InfoThis script provides various information on Market Internals and other related info. It was a part of the Daily Levels script but that script was getting very large so I decided to separate this piece of it into its own indicator. I plan on adding some additional features in the near future so stay tuned for those!
The script provides customizability to show certain market internals, tickers, and even Market Profile TPO periods.
Here is a summary of each setting:
NASDAQ and NYSE Breadth Ratio
- Ratio between Up Volume and Down Volume for NASDAQ and NYSE markets. This can help inform about the type of volume flowing in and out of these exchanges.
Advance/Decline Line (ADL)
The ADL focuses specifically on the number of advancing and declining stocks within an index, without considering their trading volume.
Here's how the ADL works:
It tracks the daily difference between the number of stocks that are up in price (advancing) and the number of stocks that are down in price (declining) within a particular index.
The ADL is a cumulative measure, meaning each day's difference is added to the previous day's total.
If there are more advancing stocks, the ADL goes up.
If there are more declining stocks, the ADL goes down.
By analyzing the ADL, investors can get a sense of how many stocks are participating in a market move.
Here's what the ADL can tell you:
Confirmation of Trends: When the ADL moves in the same direction as the underlying index (e.g., ADL rising with a rising index), it suggests broad participation in the trend and potentially stronger momentum.
Divergence: If the ADL diverges from the index (e.g., ADL falling while the index is rising), it can be a warning sign. This suggests that fewer stocks are participating in the rally, which could indicate a weakening trend.
Keep in mind:
The ADL is a backward-looking indicator, reflecting past market activity.
It's often used in conjunction with other technical indicators for a more complete picture.
TRIN Arms Index
The TRIN index, also called the Arms Index or Short-Term Trading Index, is a technical analysis tool used in the stock market to gauge market breadth and sentiment. It essentially compares the number of advancing stocks (gaining in price) to declining stocks (losing price) along with their trading volume.
Here's how to interpret the TRIN:
High TRIN (above 1.0): This indicates a weak market where declining stocks and their volume are dominating the market. It can be a sign of a potential downward trend.
Low TRIN (below 1.0): This suggests a strong market where advancing stocks and their volume are in control. It can be a sign of a potential upward trend.
TRIN around 1.0: This represents a more balanced market, where it's difficult to say which direction the market might be headed.
Important points to remember about TRIN:
It's a short-term indicator, primarily used for intraday trading decisions.
It should be used in conjunction with other technical indicators for a more comprehensive market analysis. High or low TRIN readings don't guarantee future price movements.
VIX/VXN
VIX and VXN are both indexes created by the Chicago Board Options Exchange (CBOE) to measure market volatility. They differ based on the underlying index they track:
VIX (Cboe Volatility Index): This is the more well-known index and is considered the "fear gauge" of the stock market. It reflects the market's expectation of volatility in the S&P 500 index over the next 30 days.
VXN (Cboe Nasdaq Volatility Index): This is a counterpart to the VIX, but instead gauges volatility expectations for the Nasdaq 100 index over the coming 30 days. The tech-heavy Nasdaq can sometimes diverge from the broader market represented by the S&P 500, hence the need for a separate volatility measure.
Both VIX and VXN are calculated based on the implied volatilities of options contracts listed on their respective indexes. Here's a general interpretation:
High VIX/VXN: Indicates a high level of fear or uncertainty in the market, suggesting investors expect significant price fluctuations in the near future.
Low VIX/VXN: Suggests a more complacent market with lower expectations of volatility.
Important points to remember about VIX and VXN:
They are forward-looking indicators, reflecting market sentiment about future volatility, not necessarily current market conditions.
High VIX/VXN readings don't guarantee a market crash, and low readings don't guarantee smooth sailing.
These indexes are often used by investors to make decisions about portfolio allocation and hedging strategies.
Inside/Outside Day
This provides a quick indication of it we are still trading inside or outside of yesterdays range and will show "Inside Day" or "Outside Day" based upon todays range vs. yesterday's range.
Custom Ticker Choices
Ability to add up to 5 other tickers that can be tracked within the table
Show Market Profile TPO
This only shows on timeframes less than 30m. It will show both the current TPO period and the remaining time within that period.
Table Customization
Provided drop downs to change the text size and also the location of the table.
