Horizontal Price TableOverview:
This script displays a dynamic price table on your chart, showing real-time prices and daily percentage changes for up to 7 user-defined tickers. You can customize both which tickers are shown and how many are visible, all through the settings panel.
How it works (Step-by-Step):
User-Defined Tickers:
The script provides input fields for up to 7 tickers using input.symbol(). You can track stocks, indexes, ETFs, crypto, or futures — anything supported by TradingView.
Choose How Many to Display:
An additional dropdown lets you choose how many of the 7 tickers to actually display (between 1 and 7). This gives you control over screen space and focus.
Market Data Fetching:
For each displayed ticker, the script fetches:
The current day’s closing price (close)
The previous day’s closing price (close )
This data is pulled using request.security() on the daily timeframe (1D).
% Change Calculation:
The script calculates the daily percentage change using:
(Current Price−Previous Close)/Previous Close×100(Current Price−Previous Close)/Previous Close×100
Cleaned Ticker Names:
Ticker symbols often include an exchange prefix like NASDAQ:AAPL. The script automatically removes anything before the colon (:), so only the clean symbol (e.g., AAPL) is shown in the table.
Table Display:
A visual table appears at the top-center of your chart, showing:
Row 1: Ticker symbol (cleaned)
Row 2: Current price (rounded to 2 decimals)
Row 3: Daily % change (green for gains, red for losses)
Customization:
You can choose the background color of the table.
Ticker names appear in white text with a gray background.
% change is color-coded: green for positive, red for negative.
Why Use This Script?
Track multiple tickers at once without leaving your chart.
Clean, customizable layout.
Useful for monitoring watchlists, portfolios, or related markets.
Tips:
Combine this with your favorite indicators for a personalized dashboard.
Works great on any chart or timeframe.
Ensure the tickers entered are valid on TradingView (e.g., SPY, BTCUSD, NQ1!, etc.).
Komut dosyalarını "spy" için ara
Compare Strength with SLOPE Description
This indicator compares the relative strength between the current asset and a benchmark (e.g., BTC vs. ETH or AAPL vs. SPY) using a linear regression slope of their ratio over time.
The ratio is calculated as: close / benchmark
A linear regression slope is computed over a user-defined window
The slope represents trend strength: if it’s rising, the current asset is outperforming the benchmark
Plots
Gray Line: The raw ratio between the asset and benchmark
Orange Line: The slope of the ratio (shows momentum)
Background Color :
Green: The asset is significantly stronger than the benchmark
Red: The asset is significantly weaker than the benchmark
No color: No clear trend
Settings
Slope Window Length: Number of candles used in the regression (default = 10)
Slope Threshold: Sensitivity of trend detection. Smaller values detect weaker trends.
Example Use Cases
Style Rotation Strategy: Use the slope to determine whether "Growth" or "Value" style is leading.
Pair Trading / Relative Performance: Track which asset is leading in a pair (e.g., BTC vs ETH).
Factor Timing: Serve as a timing model to allocate between different sectors or factors.
Happy trading!
Webby's Market OrderThis is visual representation of Webby's Market Order.
When three consecutive lows are above 21 EMA, Uptrend expectation is natural.
When three highs are below 21 EMA, Downtrend expectation is natural.
Alert Conditions can be set when uptrend and down trend are expected.
Use this indicator with IXIC or SPY or major indices.
This is set at three lows/Highs above 21 EMA as looked by Mike Webster.
Leavitt Convolution ProbabilityTechnical Analysis of Markets with Leavitt Market Projections and Associated Convolution Probability
The aim of this study is to present an innovative approach to market analysis based on the research "Leavitt Market Projections." This technical tool combines one indicator and a probability function to enhance the accuracy and speed of market forecasts.
Key Features
Advanced Indicators : the script includes the Convolution line and a probability oscillator, designed to anticipate market changes. These indicators provide timely signals and offer a clear view of price dynamics.
Convolution Probability Function : The Convolution Probability (CP) is a key element of the script. A significant increase in this probability often precedes a market decline, while a decrease in probability can signal a bullish move. The Convolution Probability Function:
At each bar, i, the linear regression routine finds the two parameters for the straight line: y=mix+bi.
Standard deviations can be calculated from the sequence of slopes, {mi}, and intercepts, {bi}.
Each standard deviation has a corresponding probability.
Their adjusted product is the Convolution Probability, CP. The construction of the Convolution Probability is straightforward. The adjusted product is the probability of one times 1− the probability of the other.
Customizable Settings : Users can define oversold and overbought levels, as well as set an offset for the linear regression calculation. These options allow for tailoring the script to individual trading strategies and market conditions.
Statistical Analysis : Each analyzed bar generates regression parameters that allow for the calculation of standard deviations and associated probabilities, providing an in-depth view of market dynamics.
The results from applying this technical tool show increased accuracy and speed in market forecasts. The combination of Convolution indicator and the probability function enables the identification of turning points and the anticipation of market changes.
Additional information:
Leavitt, in his study, considers the SPY chart.
When the Convolution Probability (CP) is high, it indicates that the probability P1 (related to the slope) is high, and conversely, when CP is low, P1 is low and P2 is high.
For the calculation of probability, an approximate formula of the Cumulative Distribution Function (CDF) has been used, which is given by: CDF(x)=21(1+erf(σ2x−μ)) where μ is the mean and σ is the standard deviation.
For the calculation of probability, the formula used in this script is: 0.5 * (1 + (math.sign(zSlope) * math.sqrt(1 - math.exp(-0.5 * zSlope * zSlope))))
Conclusions
This study presents the approach to market analysis based on the research "Leavitt Market Projections." The script combines Convolution indicator and a Probability function to provide more precise trading signals. The results demonstrate greater accuracy and speed in market forecasts, making this technical tool a valuable asset for market participants.
Bottom and Top finder [theUltimator5]🧭 Bottom and Top Finder — Multi-Symbol Momentum Divergence Detector
The Bottom and Top Finder by theUltimator5 is a highly configurable, momentum-based indicator designed to identify potential market reversal points using a multi-symbol relative strength comparison framework. It evaluates Directional Movement Index (DMI) values from up to three correlated or macro-influential assets to determine when the current instrument may be approaching a bottom (oversold exhaustion) or a top (overbought exhaustion).
🧠 How It Works
This script computes both the +DI (positive directional index) and -DI (negative directional index) for:
The currently selected chart symbol
Up to three user-defined reference symbols (e.g., sector leaders, macro ETFs, currencies, volatility proxies)
It uses a logarithmic percent-change approach to normalize all movement metrics, ensuring results are scale-invariant and price-neutral — meaning it works consistently whether a stock trades at $1 or $100,000. This makes the comparison between different assets meaningful, even if they trade on different scales or volatility levels.
The indicator then:
Compares the +DI values of the reference symbols to the current symbol’s +DI → seeking bottoming signals (suggesting the current symbol is unusually weak).
Compares the -DI values of the reference symbols to the current symbol’s -DI → seeking topping signals (suggesting the current symbol is unusually strong on the downside).
These comparisons are aggregated using a weighted average, where you control the influence (multiplier) of each reference symbol.
🔁 Trigger Logic
The indicator generates two dynamic lines:
Bot Line (Bottom Line): Based on reference +DI vs. current +DI
Top Line: Based on reference -DI vs. current -DI
If the Bot Line rises above the user-defined threshold, it may signal that capitulation or oversold conditions are developing. Similarly, if the Top Line rises above its threshold, it may indicate a blow-off top or overbought selling pressure.
To avoid false positives, a second smoothing-based condition must also be met:
The line must significantly exceed its moving average, confirming momentum divergence.
When both conditions are true, the indicator highlights the background in light red (bottom alert) or green (top alert) for easy visual scanning.
🔧 Key Inputs & Customization
You can fine-tune this tool using the following parameters:
Smoothing Length: Controls how smooth or sensitive the DI values are.
Reference Symbols: Up to 3 assets (default: RSP, HYG, DXY) — customizable for sector, macro, or inverse relationships.
Influence Multipliers: Adjust the weight each symbol has on the overall signal.
Display Options:
Toggle to highlight the chart background during trigger conditions.
Toggle to display a real-time table of reference symbols and their influence levels.
📈 Visual Output
Two plotted lines: One for bottoms and one for tops
Dynamically colored based on how far they exceed thresholds
Background highlights to mark trigger zones
Optional table displaying the current reference symbol setup and weights
🛠 Best Use Cases
This tool is ideal for:
Identifying short-term tops or bottoms using momentum exhaustion
Spotting divergences between an asset and broader market or sector health
Macro analysis with assets like SPY, QQQ, GME, MSFT, BTC, etc...
Pair trading signals or market breadth confirmation/disagreement
It complements other technical indicators like RSI, MACD, Bollinger Bands, or price structure patterns (double bottoms/tops, etc.)
Risk-On vs Risk-Off Meter (Pro)Risk-On vs Risk-Off Meter (Pro)
This macro-based tool analyzes capital flows across key assets to gauge overall market risk sentiment. It does not use ES, SPY, or stock data directly—making it a powerful confirmation tool for ES traders looking to align with macro forces.
🔹 Core Idea:
Tracks capital rotation between copper/gold, bonds, dollar, crude oil, VIX, and yield spreads to generate a normalized risk score (0–1). This score reflects whether macro money is flowing into risk or safety.
🔹 Use:
Use this indicator as confirmation of directional bias when scalping or day trading ES.
– Green Zone (>0.75): Risk-On environment. Favor long setups.
– Red Zone (<0.45): Risk-Off. Favor short setups or stand aside.
– Yellow Zone: Neutral, use caution.
– Divergence Alerts: Signals when ES price disagrees with macro risk trend—potential reversals or exhaustion zones.
HOT TO USE
– Combine with your existing price action or order flow signals
– Avoid trading against the macro sentiment unless strong setup
– Use divergence as a heads-up for fading or exiting trades
This gives you a macro-informed lens to validate or filter your entries.
JPMorgan Collar LevelsJPMorgan Collar Levels – SPX/SPY Auto-Responsive (Quarterly Logic)
This script tracks the JPMorgan Hedged Equity Fund collar strategy, one of the most watched institutional positioning tools on SPX/SPY. The strategy rolls quarterly and often acts as a magnet or resistance/support zone for price.
Econometrica by [SS]This is Econometrica, an indicator that aims to bridge a big gap between the resources available for analysis of fundamental data and its impact on tickers and price action.
I have noticed a general dearth of available indicators that offer insight into how fundamentals impact a ticker and provide guidance on how they these economic factors influence ticker behaviour.
Enter Econometrica. Econometrica is a math based indicator that aims to co-integrate and model indicator price action in relation to critical economic metrics.
Econometrica supports the following US based economic data:
CPI
Non-Farm Payroll
Core Inflation
US Money Supply
US Central Bank Balance Sheet
GDP
PCE
Let's go over the functions of Econometrica.
Creating a Regression Cointegrated Model
The first thing Econometrica does is creates a co-integrated regression, as you see in the main chart, predicting ticker value ranges from fundamental economic data.
You can visualize this in the main chart above, but here are some other examples:
SPY vs Core Inflation:
BA vs PCE:
QQQ vs US Balance Sheet:
The band represents the anticipated range the ticker should theoretically fall in based on the underlying economic value. The indicator will breakdown the relationship between the economic indicator and the ticker more precisely. In the images above, you can see how there are some metrics provided, including Stationairty, lagged correlation, Integrated Correlation and R2. Let's discuss these very briefly:
Stationarity: checks to ensure that the relationship between the economic indicator and ticker is stationary. Stationary data is important for making unbiased inferences and projections, so having data that is stationary is valuable.
Lagged Correlation: This is a very interesting metric. Lagged correlation means whether there is a delay in the economic indicator and the response of the ticker. Typically, you will observed a lagged correlation between an economic indicator and price of a ticker, as it can take some time for economic changes to reach the market. This lagged correlation will provide you with how long it takes for the economic indicator to catch up with the ticker in months.
Integrated Correlation: This metric tells you how good of a fit the regression bands are in relation to the ticker price. A higher correlation, means the model is better at consistent and accurate information about the anticipated range for the ticker in relation to the economic indicator.
R2: Provides information on the variance and degree of model fit. A high R2 value means that the model is capable of explaining a large amount of variance between the economic indicator and the ticker price action.
Explaining the Relationship
Owning to the fact that the indicator is a bit on the mathy side (it has to be to do this kind of task), I have included ability for the indicator to explain and make suggestions based on the underlying data. It can assess the model's fit and make suggestions for tweaking. It can also explain the implications of the data being presented in the model.
Here is an example with QQQ and the US Balance Sheet:
This helps to simplify and interpret the results you are looking at.
Forecasting the Economic Indicator
In addition to assessing the economic indicator's impact on the ticker, the indicator is also capable of forecasting out the economic indicator over the next 25 releases.
Here is an example of the CPI forecast:
Overall use of the indicator
The indicator is meant to bridge the gap between Technical Analysis and Fundamental Analysis.
Any trader who is attune to fundamentals would benefit from this, as this provides you with objective data on how and to what extent fundamental and economic data impacts tickers.
It can help affirm hypothesis and dispel myths objectively.
It also omits the need from having to perform these types of analyses outside of Tradingview (i.e. in excel, R or Python), as you can get the data in just a few licks of enabling the indicator.
Conclusion
I have tried to make this indicator as user friendly as possible. Though it uses a lot of math, it is fairly straight forward to interpret.
The band plotted can be considered the fair market value or FMV of the ticker based on the underlying economic data, provided the indicator tells you that the relationship is significant (and it will blatantly give you this information verbatim, you don't have to interpret the math stuff).
This is US economic data only. It does not pull economic data from other countries. You can absolutely see how US economic data impacts other markets like the TSX, BANKNIFTY, NIFTY, DAX etc. but the indicator is only pulling US economic data.
That is it!
I hope you enjoy it and find this helpful!
Thanks everyone and safe trades as always 🚀🚀🚀
OG Volume PowerDescription:
The OG Volume Power is an elite-level volume analysis suite built for identifying momentum surges, trend continuation, and buyer/seller imbalances at critical price levels. It combines real-time VWAP tracking, a dynamic Point of Control (POC), and volume delta clusters to give traders a complete picture of price and volume interaction.
🔍 Key Features:
Real-Time VWAP:
Tracks volume-weighted average price to identify mean reversion and intraday fair value zones. Ideal for institutional-level entries and exits.
Dynamic POC (Point of Control):
Automatically finds the price level with the highest volume over the last N candles (default 50), helping traders pinpoint where market participants are most committed.
Buyer/Seller Volume Delta Clusters:
Highlights imbalances between buying and selling pressure using bullish and bearish volume deltas that exceed the 20-bar volume average — excellent for momentum detection and early trend recognition.
⚙️ How It Works:
Green triangle: Buyer surge (bullish delta + above average volume)
Red triangle: Seller surge (bearish delta + above average volume)
Magenta line: Dynamic POC (highest volume price over recent candles)
Orange line: VWAP (acts as a magnetic force for price)
📈 Best For:
Intraday scalping or swing trading on SPY, QQQ, BTC, or Forex
Volume flow confirmation before breakout entries
Filtering false breakouts with delta strength signals
🧠 Pro Tip:
Use OG Volume Power alongside your trend indicators (like OG EMA Stack or OG Supertrend) to confirm that volume is backing the move. Look for surges near VWAP or POC zones for sniper-level entries.
5-Min ORB with Volume SpikeThis indicator identifies Opening Range Breakouts (ORB) based on the high and low of the first 5 minutes of the trading day and confirms the breakout with a volume spike.
🔍 What It Does:
Automatically captures the Opening Range High and Low from 9:30 AM to 9:35 AM (configurable).
Plots green (high) and red (low) lines across the chart once the opening range is set.
Highlights long breakout signals when price breaks above the OR High with above-average volume.
Highlights short breakout signals when price breaks below the OR Low with above-average volume.
Volume confirmation is based on a customizable 20-period simple moving average (SMA) of volume.
⚙️ Best Used On:
5-minute or lower intraday charts (e.g., SPY, QQQ, futures, etc.)
Highly liquid, high-volatility instruments
U.S. equity market open (customizable for other sessions)
📈 Trading Edge: This strategy helps traders identify strong, momentum-driven breakouts early in the trading session — especially when confirmed by increased institutional activity (volume spike).
Hull Moving Average Adaptive RSI (Ehlers)Hull Moving Average Adaptive RSI (Ehlers)
The Hull Moving Average Adaptive RSI (Ehlers) is an enhanced trend-following indicator designed to provide a smooth and responsive view of price movement while incorporating an additional momentum-based analysis using the Adaptive RSI.
Principle and Advantages of the Hull Moving Average:
- The Hull Moving Average (HMA) is known for its ability to track price action with minimal lag while maintaining a smooth curve.
- Unlike traditional moving averages, the HMA significantly reduces noise and responds faster to market trends, making it highly effective for detecting trend direction and changes.
- It achieves this by applying a weighted moving average calculation that emphasizes recent price movements while smoothing out fluctuations.
Why the Adaptive RSI Was Added:
- The core HMA line remains the foundation of the indicator, but an additional analysis using the Adaptive RSI has been integrated to provide more meaningful insights into momentum shifts.
- The Adaptive RSI is a modified version of the traditional Relative Strength Index that dynamically adjusts its sensitivity based on market volatility.
- By incorporating the Adaptive RSI, the HMA visually represents whether momentum is strengthening or weakening, offering a complementary layer of analysis.
How the Adaptive RSI Influences the Indicator:
- High Adaptive RSI (above 65): The market may be overbought, or bullish momentum could be fading. The HMA turns shades of red, signaling a possible exhaustion phase or potential reversals.
- Neutral Adaptive RSI (around 50): The market is in a balanced state, meaning neither buyers nor sellers are in clear control. The HMA takes on grayish tones to indicate this consolidation.
- Low Adaptive RSI (below 35): The market may be oversold, or bearish momentum could be weakening. The HMA shifts to shades of blue, highlighting potential recovery zones or trend slowdowns.
Why This Combination is Powerful:
- While the HMA excels in tracking trends and reducing lag, it does not provide information about momentum strength on its own.
- The Adaptive RSI bridges this gap by adding a clear visual layer that helps traders assess whether a trend is likely to continue, consolidate, or reverse.
- This makes the indicator particularly useful for spotting trend exhaustion and confirming momentum shifts in real-time.
Best Use Cases:
- Works effectively on timeframes from 1 hour (1H) to 1 day (1D), making it suitable for swing trading and position trading.
- Particularly useful for trading indices (SPY), stocks, forex, and cryptocurrencies, where momentum shifts are frequent.
- Helps identify not just trend direction but also whether that trend is gaining or losing strength.
Recommended Complementary Indicators:
- Adaptive Trend Finder: Helps identify the dominant long-term trend.
- Williams Fractals Ultimate: Provides key reversal points to validate trend shifts.
- RVOL (Relative Volume): Confirms significant moves based on volume strength.
This enhanced HMA with Adaptive RSI provides a powerful, intuitive visual tool that makes trend analysis and momentum interpretation more effective and efficient.
This indicator is for educational and informational purposes only. It should not be considered financial advice or a guarantee of performance. Always conduct your own research and use proper risk management when trading. Past performance does not guarantee future results.
Panic Drop Stock Market Bull/Bear Market Panic Drop Bull/Bear
What It Does:
This indicator identifies bull and bear markets for the S&P 500 (or any stock/index) using the 50-period and 150-period Simple Moving Averages (SMAs). A green background signals a confirmed bull market when the 50 SMA is above the 150 SMA and the 150 SMA slope is flat or upward. A red background signals a confirmed bear market when the 50 SMA is below the 150 SMA and the 150 SMA slope is downward. The background color persists until a new confirmed state is detected, ensuring no gaps—perfect for spotting long-term market trends whether you’re a beginner, trend trader, or long-term investor.
Key Features:
Plots 50 SMA (default: blue line) and 150 SMA (default: orange line).
Background highlights: green for bull markets, red for bear markets.
Persistent background color—no gaps during unconfirmed periods.
Alerts for confirmed bull and bear market transitions.
Fully adjustable: MA periods, slope lookback, and more.
How to Use It:
Add to your S&P 500 chart (e.g., SPX or SPY) on a daily or weekly timeframe (daily default recommended for long-term trends).
Watch for background color changes:
Green background: Confirmed bull market—consider long positions or holding.
Red background: Confirmed bear market—consider shorting or exiting longs.
Customize via settings:
Adjust MA periods (default: 50 and 150).
Set slope lookback (default: 5 bars) to control slope sensitivity.
Change MA colors if desired.
Set alerts: Right-click on the chart > "Add Alert" > Select "Bull Market Confirmed" or "Bear Market Confirmed."
Trade smart: Use the background to confirm market regimes—e.g., go long during green (bull) phases above key support levels, or protect capital during red (bear) phases.
Why It’s Great:
Beginners: Simple background colors make market trends easy to spot.
Trend Traders: 50/150 SMA crossover with slope confirmation catches major market shifts.
Long-Term Investors: Persistent background ensures you stay in the trend without noise.
Created by Timothy Assi (Panic Drop), eToro’s elite investor. Test it, tweak it, and trade with confidence!
TJR SEEK AND DESTROYTJR SEEK AND DESTROY – Intraday ICT Trading Tool
Built for day traders, TJR SEEK AND DESTROY combines Smart Money concepts like order blocks, fair value gaps, and liquidity sweeps with structure breaks and daily bias to pinpoint high-probability trades during US market hours (9:30–16:00). Ideal for scalping or intraday strategies on stocks, futures, or forex.
What Makes It Unique?
Unlike standalone ICT indicators, this script integrates:
Order Blocks with volume and range filters for precise support/resistance zones.
Fair Value Gaps (FVG) to spot pre-market price imbalances.
Break of Structure (BOS) and Liquidity Sweeps for trend and reversal signals.
A 1H MA-based Bias to align trades with the day’s direction.
BUY/SELL Labels triggered only when bias, BOS, and sweeps align, reducing noise.
How Does It Work?
Order Blocks: Marks zones with high volume (>1.5x 20-period SMA) and low range (<0.5x ATR20) as teal boxes—potential reversal points.
Fair Value Gap: Compares the prior day’s close to the current open (pre- or post-9:30), shown as a purple line and label (e.g., "FVG: 0.005").
Pivot Point: Calculates (prevHigh + prevLow + prevClose) / 3 from the prior day, plotted as an orange line for equilibrium.
Break of Structure: Detects crossovers of 5-bar highs/lows (gray lines), marked with red triangles.
Liquidity Sweeps: Tracks breaches of the prior day’s high/low (yellow lines), marked with yellow triangles.
Daily Bias: Uses 1H close vs. 20-period MA (blue line) for bullish (green background), bearish (red), or neutral (gray) context.
Signals: BUY (green label) when bias is bullish, price breaks up, and sweeps the prior high; SELL (red label) when bias is bearish, price breaks down, and sweeps the prior low.
How to Use It
Setup: Apply to 1M–15M charts for US session trading (9:30–16:00 EST).
Trading:
Wait for a BUY label after a yellow sweep triangle above the prior day’s high in a green (bullish) background.
Wait for a SELL label after a yellow sweep triangle below the prior day’s low in a red (bearish) background.
Use order blocks (teal boxes) as support/resistance for stop-loss or take-profit.
Markets: Best for SPY, ES futures, or forex pairs with US session volatility.
Underlying Concepts
Order Blocks: High-volume, low-range bars suggest institutional activity.
FVG: Gaps between close and open indicate imbalance to be filled.
BOS & Sweeps: Price breaking key levels signals momentum or stop-hunting.
Bias: 1H MA filters trades by broader trend.
Chart Setup
Displays order blocks (teal boxes), pivot (orange), open (purple), bias (colored background), BOS/sweeps (triangles), and signals (labels). Keep other indicators off for clarity.
OPEX & VIX Expiry Markers (Past, Present, Future)Expiry Date Indicator for Options & Index Traders
Track Key Expiration Dates Automatically
For traders focused on options, indices, and expiration-based strategies, staying aware of key expiration dates is essential. This TradingView indicator automatically plots OPEX, VIX Expiry, and Quarterly Expirations on your charts—helping you plan trades more effectively without manual tracking.
Features:
✔ OPEX Expiration Markers – Highlights the third Friday of each month, when equity and index options expire.
✔ VIX Expiration Tracking – Marks Wednesday VIX expirations, useful for volatility-based trades.
✔ Quarterly Expiration Highlights – Identifies major market expiration cycles for better trade management.
✔ Live Countdown to Next OPEX – Displays how many days remain until the next expiration.
✔ Works on Any Timeframe – Past, present, and future expiration dates update dynamically.
✔ Customizable Settings – Enable or disable specific features based on your trading style.
Ideal for Traders Who Use:
📈 SPX / SPY / NDX / VIX Options Strategies
📅 Iron Condors, Credit Spreads, and Expiration-Based Trades
This tool helps traders stay ahead of expiration cycles, ensuring they never miss an important date. Simple, effective, and built for seamless integration into your trading workflow.
This keeps it professional and to the point without overhyping it. Let me know if you'd like any further refinements! 🚀
Stock ETF Tracker 2.0The Stock Sector ETF tracker with Indicators is a versatile tool designed to track the performance of sector-specific ETFs relative to the current asset. It automatically identifies the sector of the underlying symbol and displays the corresponding ETF’s price action alongside key technical indicators. This helps traders analyze sector trends and correlations in real time.
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Key Features
Automatic Sector Detection:
Fetches the sector of the current asset (e.g., "Technology" for AAPL).
Maps the sector to a user-defined ETF (default: SPDR sector ETFs) .
Technical Indicators:
Simple Moving Average (SMA): Tracks the ETF’s trend.
Bollinger Bands: Highlights volatility and potential reversals.
Donchian High (52-Week High): Identifies long-term resistance levels.
SPY Regime Filter: Red background color if SP500 is below 200 day SMA.
Customizable Inputs:
Adjust indicator parameters (length, visibility).
Override default ETFs for specific sectors.
Informative Table:
Displays the current sector and ETF symbol in the bottom-right corner.
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Input Settings
SMA Settings
SMA Length: Period for calculating the Simple Moving Average (default: 200).
Show SMA: Toggle visibility of the SMA line.
Bollinger Bands Settings
BB Length: Period for Bollinger Bands calculation (default: 20).
BB Multiplier: Standard deviation multiplier (default: 2.0).
Show Bollinger Bands: Toggle visibility of the bands.
Donchian High (52-Week High)
Daily High Length: Days used to calculate the high (default: 252, approx. 1 year).
Show High: Toggle visibility of the 52-week high line.
Sector Selections
Customize ETFs for each sector (e.g., replace XLU with another utilities ETF).
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Example Use Cases
Trend Analysis: Compare a stock’s price action to its sector ETF’s SMA for trend confirmation.
Volatility Signals: Use Bollinger Bands to spot ETF price squeezes or breakouts.
Sector Strength: Monitor if the ETF is approaching its 52-week high to gauge sector momentum.
Enjoy tracking sector trends with ease! 🚀
[SHORT ONLY] Consecutive Close>High[1] Mean Reversion Strategy█ STRATEGY DESCRIPTION
The "Consecutive Close > High " Mean Reversion Strategy is a contrarian daily trading system for stocks and ETFs. It identifies potential shorting opportunities by counting consecutive days where the closing price exceeds the previous day's high. When this consecutive day count reaches a predetermined threshold, and if the close is below a 200-period EMA (if enabled), a short entry is triggered, anticipating a corrective pullback.
█ HOW ARE THE CONSECUTIVE BULLISH COUNTS CALCULATED?
The strategy uses a counter variable called `bullCount` to track how many consecutive bars meet a bullish condition. Here’s a breakdown of the process:
Initialize the Counter
var int bullCount = 0
Bullish Bar Detection
Every time the close exceeds the previous bar's high, increment the counter:
if close > high
bullCount += 1
Reset on Bearish Bar
When there is a clear bearish reversal, the counter is reset to zero:
if close < low
bullCount := 0
█ SIGNAL GENERATION
1. SHORT ENTRY
A Short Signal is triggered when:
The count of consecutive bullish closes (where close > high ) reaches or exceeds the defined threshold (default: 3).
The signal occurs within the specified trading window (between Start Time and End Time).
2. EXIT CONDITION
An exit Signal is generated when the current close falls below the previous bar’s low (close < low ), prompting the strategy to exit the position.
█ ADDITIONAL SETTINGS
Threshold: The number of consecutive bullish closes required to trigger a short entry (default is 3).
Start Time and End Time: The time window during which the strategy is allowed to execute trades.
EMA Filter (Optional): When enabled, short entries are only triggered if the current close is below the 200-period EMA.
█ PERFORMANCE OVERVIEW
This strategy is designed for Stocks and ETFs on the Daily timeframe and targets overextended bullish moves.
It aims to capture mean reversion by entering short after a series of consecutive bullish closes.
Further optimization is possible with additional filters (e.g., EMA, volume, or volatility).
Backtesting should be used to fine-tune the threshold and filter settings for specific market conditions.
[SHORT ONLY] Internal Bar Strength (IBS) Mean Reversion Strategy█ STRATEGY DESCRIPTION
The "Internal Bar Strength (IBS) Strategy" is a mean-reversion strategy designed to identify trading opportunities based on the closing price's position within the daily price range. It enters a short position when the IBS indicates overbought conditions and exits when the IBS reaches oversold levels. This strategy is Short-Only and was designed to be used on the Daily timeframe for Stocks and ETFs.
█ WHAT IS INTERNAL BAR STRENGTH (IBS)?
Internal Bar Strength (IBS) measures where the closing price falls within the high-low range of a bar. It is calculated as:
IBS = (Close - Low) / (High - Low)
- Low IBS (≤ 0.2) : Indicates the close is near the bar's low, suggesting oversold conditions.
- High IBS (≥ 0.8) : Indicates the close is near the bar's high, suggesting overbought conditions.
█ SIGNAL GENERATION
1. SHORT ENTRY
A Short Signal is triggered when:
The IBS value rises to or above the Upper Threshold (default: 0.9).
The Closing price is greater than the previous bars High (close>high ).
The signal occurs within the specified time window (between `Start Time` and `End Time`).
2. EXIT CONDITION
An exit Signal is generated when the IBS value drops to or below the Lower Threshold (default: 0.3). This prompts the strategy to exit the position.
█ ADDITIONAL SETTINGS
Upper Threshold: The IBS level at which the strategy enters trades. Default is 0.9.
Lower Threshold: The IBS level at which the strategy exits short positions. Default is 0.3.
Start Time and End Time: The time window during which the strategy is allowed to execute trades.
█ PERFORMANCE OVERVIEW
This strategy is designed for Stocks and ETFs markets and performs best when prices frequently revert to the mean.
The strategy can be optimized further using additional conditions such as using volume or volatility filters.
It is sensitive to extreme IBS values, which help identify potential reversals.
Backtesting results should be analyzed to optimize the Upper/Lower Thresholds for specific instruments and market conditions.
Industry Indices ComparisonA dynamic industry sector performance comparison indicator that helps traders and investors track relative strength across different market sectors in real-time.
- Compares up to 5 industry sector ETFs against a benchmark index (default: SPY)
- Displays key metrics including:
* Performance % over selected timeframe
* Relative performance vs benchmark
* Trend direction (▲ up, ▼ down, − neutral)
* Volume in millions (M) of shares traded
- Configurable timeframes: 1D, 1W, 1M, and 3M comparisons
- Color-coded performance indicators (green for outperformance, red for underperformance)
- Customizable table position and text size for optimal chart placement
The indicator helps identify:
1. Sector rotation patterns through relative performance
2. Leading and lagging sectors vs the broader market
3. Volume trends across different sectors
For traders, if you are considering two equally good setups, then choosing the setup belonging to a currently strong sector could be beneficial.
Bearish Wick Reversal█ STRATEGY OVERVIEW
The "Bearish Wick Reversal Strategy" identifies potential bullish reversals following significant bearish price rejection (long lower wicks). This counter-trend approach enters long positions when bearish candles show exaggerated downside wicks relative to closing prices, then exits on bullish confirmation signals. Includes optional EMA trend filtering for improved reliability.
█ What is a Bearish Wick?
A price rejection pattern where:
Bearish candle (close < open) forms with extended lower wick
Wick represents failed selloff: Low drops significantly below close
Measured as: (Low - Close)/Close × 100 (Negative percentage indicates downward extension)
█ SIGNAL GENERATION
1. LONG ENTRY CONDITION
Bearish candle forms with close < open
Lower wick exceeds user-defined threshold (Default: -1% of close price)
The signal occurs within the specified time window
If enabled, the close price must also be above the 200-period EMA (Exponential Moving Average)
2. EXIT CONDITION
A Sell Signal is generated when the current closing price exceeds the highest high of the previous seven bars (`close > _highest `). This indicates that the price has shown strength, potentially confirming the reversal and prompting the strategy to exit the position.
█ PERFORMANCE OVERVIEW
Ideal Market: Volatile instruments with frequent price rejections
Key Risk: False signals in sustained bearish trends
Optimization Tip: Test various thresholds
Filter Impact: EMA reduces trades but improves win rate and reduces drawdown
Gap Down Reversal Strategy█ STRATEGY OVERVIEW
The "Gap Down Reversal Strategy" capitalizes on price recovery patterns following bearish gap-down openings. This mean-reversion approach enters long positions on confirmed intraday recoveries and exits when prices breach previous session highs. This strategy is NOT optimized.
█ What is a Gap Down Reversal?
A gap down reversal occurs when:
An instrument opens significantly below its prior session's low (price gap)
Selling pressure exhausts itself during the session
Buyers regain control, pushing price back above the opening level
Creates a candlestick with:
• Open < Prior Session Low (true gap)
• Close > Open (bullish reversal candle)
█ SIGNAL GENERATION
1. LONG ENTRY CONDITION
Previous candle closes BELOW its opening price (bearish candle)
Current session opens BELOW prior candle's low (gap down)
Current candle closes ABOVE its opening price (bullish reversal)
Executes market order at session close
2. EXIT CONDITION
A Sell Signal is generated when the current closing price exceeds the highest high of the previous seven bars (`close > _highest `). This indicates that the price has shown strength, potentially confirming the reversal and prompting the strategy to exit the position.
█ PERFORMANCE OVERVIEW
Ideal Market: High volatility instruments with frequent gaps
Key Risk: False reversals in sustained downtrends
Optimization Tip: Test varying gap thresholds (1-3% ranges)
3 Down, 3 Up Strategy█ STRATEGY DESCRIPTION
The "3 Down, 3 Up Strategy" is a mean-reversion strategy designed to capitalize on short-term price reversals. It enters a long position after consecutive bearish closes and exits after consecutive bullish closes. This strategy is NOT optimized and can be used on any timeframes.
█ WHAT ARE CONSECUTIVE DOWN/UP CLOSES?
- Consecutive Down Closes: A sequence of trading bars where each close is lower than the previous close.
- Consecutive Up Closes: A sequence of trading bars where each close is higher than the previous close.
█ SIGNAL GENERATION
1. LONG ENTRY
A Buy Signal is triggered when:
The price closes lower than the previous close for Consecutive Down Closes for Entry (default: 3) consecutive bars.
The signal occurs within the specified time window (between Start Time and End Time).
If enabled, the close price must also be above the 200-period EMA (Exponential Moving Average).
2. EXIT CONDITION
A Sell Signal is generated when the price closes higher than the previous close for Consecutive Up Closes for Exit (default: 3) consecutive bars.
█ ADDITIONAL SETTINGS
Consecutive Down Closes for Entry: Number of consecutive lower closes required to trigger a buy. Default = 3.
Consecutive Up Closes for Exit: Number of consecutive higher closes required to exit. Default = 3.
EMA Filter: Optional 200-period EMA filter to confirm long entries in bullish trends. Default = disabled.
Start Time and End Time: Restrict trading to specific dates (default: 2014-2099).
█ PERFORMANCE OVERVIEW
Designed for volatile markets with frequent short-term reversals.
Performs best when price oscillates between clear support/resistance levels.
The EMA filter improves reliability in trending markets but may reduce trade frequency.
Backtest to optimize consecutive close thresholds and EMA period for specific instruments.
Internal Bar Strength (IBS) Strategy█ STRATEGY DESCRIPTION
The "Internal Bar Strength (IBS) Strategy" is a mean-reversion strategy designed to identify trading opportunities based on the closing price's position within the daily price range. It enters a long position when the IBS indicates oversold conditions and exits when the IBS reaches overbought levels. This strategy was designed to be used on the daily timeframe.
█ WHAT IS INTERNAL BAR STRENGTH (IBS)?
Internal Bar Strength (IBS) measures where the closing price falls within the high-low range of a bar. It is calculated as:
IBS = (Close - Low) / (High - Low)
- **Low IBS (≤ 0.2)**: Indicates the close is near the bar's low, suggesting oversold conditions.
- **High IBS (≥ 0.8)**: Indicates the close is near the bar's high, suggesting overbought conditions.
█ SIGNAL GENERATION
1. LONG ENTRY
A Buy Signal is triggered when:
The IBS value drops below the Lower Threshold (default: 0.2).
The signal occurs within the specified time window (between `Start Time` and `End Time`).
2. EXIT CONDITION
A Sell Signal is generated when the IBS value rises to or above the Upper Threshold (default: 0.8). This prompts the strategy to exit the position.
█ ADDITIONAL SETTINGS
Upper Threshold: The IBS level at which the strategy exits trades. Default is 0.8.
Lower Threshold: The IBS level at which the strategy enters long positions. Default is 0.2.
Start Time and End Time: The time window during which the strategy is allowed to execute trades.
█ PERFORMANCE OVERVIEW
This strategy is designed for ranging markets and performs best when prices frequently revert to the mean.
It is sensitive to extreme IBS values, which help identify potential reversals.
Backtesting results should be analyzed to optimize the Upper/Lower Thresholds for specific instruments and market conditions.
Buy on 5 day low Strategy█ STRATEGY DESCRIPTION
The "Buy on 5 Day Low Strategy" is a mean-reversion strategy designed to identify potential buying opportunities when the price drops below the lowest low of the previous five days. It enters a long position when specific conditions are met and exits when the price exceeds the high of the previous day. This strategy is optimized for use on daily or higher timeframes.
█ WHAT IS THE 5-DAY LOW?
The 5-Day Low is the lowest price observed over the last five days. This level is used as a reference to identify potential oversold conditions and reversal points.
█ SIGNAL GENERATION
1. LONG ENTRY
A Buy Signal is triggered when:
The close price is below the lowest low of the previous five days (`close < _lowest `).
The signal occurs within the specified time window (between `Start Time` and `End Time`).
2. EXIT CONDITION
A Sell Signal is generated when the current closing price exceeds the high of the previous day (`close > high `). This indicates that the price has shown strength, potentially confirming the reversal and prompting the strategy to exit the position.
█ ADDITIONAL SETTINGS
Start Time and End Time: The time window during which the strategy is allowed to execute trades.
█ PERFORMANCE OVERVIEW
This strategy is designed for mean-reverting markets and performs best when the price frequently oscillates around key support levels.
It is sensitive to oversold conditions, as indicated by the 5-Day Low, and overbought conditions, as indicated by the previous day's high.
Backtesting results should be analyzed to optimize the strategy for specific instruments and market conditions.
