Power Earnings Gap Screener Pro [LevelUp]Customizable Pine Screener to scan for stocks with a Power Earnings Gap as well as accelerating earnings and sales. Historical analysis shows that strong earnings often trigger institutional buying, pushing prices higher and increasing the likelihood of sustained price gains.
🔹 Power Earnings Gap (PEG)
A power earnings gap refers to a significant price gap up after an earnings report, reflecting a rapid shift in investor sentiment and perceived value. It’s called "power" because the move is often sharp, sustained, and accompanied by high trading volume, signaling a potential trend continuation or reversal.
A gap is the difference between the closing price of a stock on the day before an earnings report and the opening price the next trading day. A power earnings gap typically exceeds a certain threshold (e.g., 8-10% or more) and is driven by earnings surprises, guidance changes, or other significant news.
Strong earnings beats, misses, or forward-looking guidance can trigger these gaps. For example, a company reporting higher-than-expected profits or raising guidance might gap up, while a miss or weak outlook could cause a gap down.
The gap is often accompanied by above-average trading volume, confirming the move's strength. Power gaps often lead to sustained price movement in the direction of the gap (continuation) or signal a reversal if the gap fills quickly.
How Power Earnings Gap Be Helpful
▪ Power earnings gaps often indicate strong momentum. Traders can capitalize on this by entering trades in the direction of the gap (e.g., buying on a gap-up if the trend continues).
Example: If a stock gaps up 10% after a stellar earnings report and shows high volume, traders might buy, expecting further upside as momentum builds.
▪ Breakout Opportunities: A gap through key technical levels (e.g., resistance or support) can signal a breakout. Traders use these gaps to identify potential long-term trends.
Example: A stock breaking above a resistance level on a power earnings gap may continue to rally, offering a setup for swing or position traders.
▪ Volatility for Short-Term Trades: Earnings gaps create heightened volatility, ideal for day traders or scalpers. The large price swings allow for quick profits if timed correctly.
Example: A trader might use options (e.g., calls for a gap-up, puts for a gap-down) to leverage the volatility around earnings.
▪ Confirmation of Fundamental Strength/Weakness: A power earning gap often reflects a fundamental shift, e.g., strong earnings growth or a major business development. Traders can use this to align technical setups with fundamental catalysts.
Example: A gap-up after a company raises its full-year guidance might signal a long-term buying opportunity.
▪ Risk Management and Stop Losses: Gaps provide clear levels for setting stop-loss orders. For instance, traders might place stops at or below the gap up bar low to protect against a potential reversal.
Example: If a stock gaps up from $100 to $110 and intraday hits a low of $105, a trader might set a stop at $105 or lower to limit downside risk.
▪ Gap Fill Strategies:Some traders bet on gaps filling, i.e., the stock returning to its pre-gap price. If a power earnings gap seems overextended (e.g., due to market overreaction), contrarian traders might short a gap-up or buy a gap-down, anticipating a pullback.
Example: A stock gaps up 15% but lacks volume or follow-through; a trader might short it, expecting the price to retreat.
🔹 Earnings and Sales Acceleration
Earnings and sales acceleration refers to the rate of growth in a company's earnings over consecutive quarters. It highlights companies that are not only growing but doing so at an accelerating pace, signaling improving financial health and operational momentum. This metric is derived from earnings reports, which detail a company’s financial performance.
Key Concepts
▪ Earnings Acceleration: When a company’s earnings per share (EPS) growth rate increases over time (e.g., EPS growth of 10% in Q1, 15% in Q2, 20% in Q3). It indicates improving profitability, often due to cost efficiencies, margin expansion and strong demand.
▪ Sales Acceleration: When revenue growth rates increase over time (e.g., revenue growth of 5% in Q1, 8% in Q2, 12% in Q3). This reflects rising demand for products/services and operational efficiency.
▪ Relation to Earnings Reports: Acceleration is calculated by comparing sequential quarter-over-year growth rates in earnings and sales, often highlighted in earnings reports or analyst commentary. It’s a sign of fundamental strength when both metrics accelerate together.
How It’s Helpful to Traders
▪ Identify High-Potential Stocks: Stocks with accelerating earnings and sales often attract investor attention, as they signal a company is outperforming expectations and gaining market share. This can lead to sustained price appreciation.
Example: A tech company reporting 20% EPS growth and 15% sales growth quarter-over-quarter may see bullish price action as investors bet on continued momentum.
▪ Momentum Trading Opportunities: Acceleration often fuels stock price momentum, especially post-earnings. Traders can ride these trends using technical setups like breakouts or pullbacks.
Example: A stock breaking above a key resistance level after reporting accelerating growth may be a buy signal for swing traders.
▪ Early Indicator of Breakouts: Companies with accelerating fundamentals are more likely to experience price breakouts, as institutional investors (e.g., hedge funds, mutual funds) pile in. Traders can use this to position early.
Example: A retailer with accelerating sales due to strong holiday demand might gap up post-earnings, offering a breakout trade.
▪ Confirmation of Fundamental Strength: Acceleration validates a company’s growth story, reducing the risk of investing in stocks with inconsistent performance. Traders can align technical trades with strong fundamentals.
Example: A biotech with accelerating sales from a new drug launch may sustain a rally, giving traders confidence in long positions.
▪ Volatility for Short-Term Trades: Earnings reports showing acceleration often lead to significant price gaps or volatility, creating opportunities for day traders or options traders.
Example: A trader might buy call options on a stock expected to report accelerating earnings, anticipating a sharp post-earnings move.
🔹 Power Earnings Gaps - Examples
🔹 Screening Features - Setting Your Search Criteria
Power Earnings Gap
▪ Search Range
How many bars back to search for Power Earnings Gaps, anywhere between 1 and 90 bars.
▪ Last Bar Only
Look only at the last bar for Power Earnings Gaps. This is useful when looking for PEGs when screening at the end of a trading day. Choosing this option, the Search Range will be ignored.
▪ Minimum Price % Gap Up From Prior Close
This is the minimum gap up percent change to be considered a Power Earnings Gap.
▪ Minimum Volume % Change Over Average
This is the minimum volume percent change, over the 50-day average volume, to be considered a Power Earnings Gap.
▪ Require Positive Surprise
Require a positive earnings surprise and the minimum percent change.
▪ Require Closing Range
To ensure the price action closed strong on the day, specify a preferred closing range as a percentage of the bar's daily range.
▪ Gap Up Bar
The gap up bar can be configured to require one of the following:
- Open Above Prior High - Ensures there is visible gap up from the prior bar.
- Low Above Prior High - Allows for intraday price action to go below the prior bar high.
- No Requirement
Earnings And Sales Acceleration
▪ Quarters of Acceleration
You can specify between 1 and 4 quarters of earnings and/or sales acceleration.
🔹 Installation And Usage
▪ Mark this indicator as a Favorite.
▪ Use the Pine Screener to search for stocks.
▪ Save the search results to a watchlist.
▪ View the watchlist in TradingView.
🔹 Note
▪ Risk of Reversals: Not all gaps sustain their direction. Over reactions can lead to gap fills.
▪ High Volatility: Earnings gaps can be unpredictable, requiring quick decision-making & discipline.
Search in scripts for "screener"
MMTools - Screener❖ Overview
Screener expands your market insights and provides an efficient way to monitor real-time signals from Catcher across hundreds of charts on a single screen.
Each cell in the table displays the number of indicator signals. For instance, a value of "1" in the row labeled ‘BTCUSDT.P’ and column ‘30’ indicates one long signal on the 30-minute Bitcoin chart within the selected lookback period. “0” means no signal in the lookback.
❖ Multi-Table Construction
Screener supports flexible layouts and overlays. To build a multi-table interface, simply add multiple instances of the script to your chart. For optimal usability, it is recommended to allocate a dedicated panel or tab.
⚙️ Key Parameters to Customize Initially
Indicator Lookback: Defines how far back Screener checks for signals.
Symbols: Choose up to 20 symbols. Use additional tables to expand coverage.
Size: Adjusts the overall dimensions of the table.
Display Settings: Customize colors, opacity, and symbol visibility. For dark theme charts, set color opacity to 100% and transparency to 0%.
⚙️ Per-Table Adjustable Parameters
Timeframe: This defines the interval for signal collection across all symbols displayed in the top row of the table. It must be equal to or greater than the chart’s timeframe, otherwise the script will deliberately trigger an error. For multiple tables, use a lower chart timeframe (e.g., 1 minute) to meet this requirement.
Table Positioning: Use either the “Position” (predefined screen locations) or “Block” (stacked layout) parameters. The “Block” method enables a greater number of tables by aligning them side-by-side efficiently.
-- Multi-table example demonstrating the use of the ’Position’ parameter --
-- Multi-table example demonstrating the use of the ’Block’ parameter --
❖ Access
Please refer to the Author's Instructions field to request access to the script.
-----------------------------------------------------------
Disclaimer
The information provided by my scripts is for informational purposes only and does not constitute financial advice. Past performance is not indicative of future results. Always do your own research before making financial decisions.
IPO Date ScreenerThis script, the IPO Date Screener, allows traders to visually identify stocks that are relatively new, based on the number of bars (days) since their IPO. The user can set a custom threshold for the number of days (bars) after the IPO, and the script will highlight new stocks that fall below that threshold.
Key Features:
Customizable IPO Days Threshold: Set the threshold for considering a stock as "new." Since Pine screener limits number bars to 500, it will work for stocks having trading days below 500 since IPO which almost 2 years.
Column Days since IPO: Sort this column from low to high to see newest to oldest STOCK with 500 days of trading.
Since a watchlist is limited to 1000 stocks, use this pines script to screen stocks within the watch list having trading days below 500 or user can select lower number of days from settings.
This is not helpful to add on chart, this is to use on pine screener as utility.
Upside Reversal Screener [LevelUp]The Upside Reversal Screener can be helpful to find strength when stocks have been showing weakness or the overall market is down. An upside reversal in a stock occurs when its price, after declining, changes direction and begins to trend upward. This pattern can signify a shift in market sentiment from bearish to bullish.
🔹 Upside Reversal Characteristics
✓ Price goes below prior day/week low then rallies to close with a gain or a minimal loss.
✓ Closing range in the upper half of the day/week.
✓ Ideally, volume shows an increase over the average daily/weekly volume.
🔹 Configurable Settings
✓ Specify the number of lower lows.
✓ Require the price low to be above a configurable moving average.
✓ Require the moving average to be trending up.
✓ Specify price % change.
✓ Specify closing range.
✓ Limit search to specific symbol types, for example, only stocks and no ETFs.
🔹 Pros of an Upside Reversal
An upside reversal can provide an early entry point into a potential new uptrend. The reversal may attract buyers, resulting in sustained upward price momentum. Reversals that follow a prolonged downtrend suggest the end of bearish dominance, which may give way to a longer-term bullish trend.
🔹 Cons of an Upside Reversal
Not all reversals continue their upward trend; some may turn out to be "dead cat bounces" or a short-term retracement before the downtrend resumes. It can also be challenging to know when to enter a trade on a reversal as entering too early might lead to losses if price reverses and the downtrend continues.
🔹 Risk Management
One common approach to risk management is to use a recent low as a stop. Another potential stop would be an area of prior support or consolidation. It often feels counterintuitive to enter a trade when the trend has been downward. Which speaks to why risk management must always be part of your game plan.
🔹 Installation And Usage
▪ Mark this indicator as a Favorite.
▪ Use the Pine Screener to search for stocks.
▪ Save the search results to a watchlist.
▪ View the watchlist in TradingView.
MCF-TotalTrader-Fib ScreenerThis is an unique screener that scans fib levels among stocks and any asset to find high probability setups. You can choose and filter any fib levels of your likings. this is an cool screener and one of my personal favorites. This is the first of the Total Trader Indicator Series.
NSE Pairs Screener-20 pair This advanced Pine Script screener is designed for pairs trading on the National Stock Exchange (NSE) of India. It simultaneously monitors up to 20 stock pairs, calculates key statistical metrics, and provides real-time trading signals based on mean reversion strategies.
Key Features
1. Multi-Pair Analysis
Monitor up to 20 stock pairs simultaneously
Customizable number of pairs to display (1-20)
Pre-configured with popular NSE stock pairs across various sectors
2. Statistical Calculations
Correlation Analysis: Measures the strength of relationship between paired stocks
Z-Score Calculation: Identifies extreme deviations from the mean spread
Cointegration Score: Validates long-term equilibrium relationships
Dynamic Hedge Ratio: Calculates optimal position sizing between pairs
3. Trading Signals
Long Signal: When spread is oversold (Z-score ≤ -2.0)
Short Signal: When spread is overbought (Z-score ≥ 2.0)
Exit Signal: When spread returns to mean (Z-score ≤ 0.5)
Watch Status: Pairs requiring monitoring
4. Automated Alert System
Single comprehensive alert for all qualifying pairs
Customizable alert thresholds for correlation, Z-score, and cointegration
On-chart visual alerts with detailed information
Notification support via TradingView's alert system
5. Visual Display
Clean, color-coded table interface
Adjustable table position (9 positions available)
Highlighted trading opportunities
Real-time metric updates
Configuration Parameters
Screener Settings
Number of Pairs to Display: 1-20 pairs (default: 20)
Calculation Parameters
Parameter Default Range Description Correlation Lookback Period25220-500Historical period for correlation calculation Z-Score SMA Length205-100Moving average length for spread calculation Hedge Ratio Length205-100Period for hedge ratio smoothing Minimum Correlation0.70.5-1.0Threshold for pair validation
Alert Settings
Parameter Default Range Description Alert Correlation Threshold0.70.5-1.0Minimum correlation for alerts Alert Z-Score Threshold2.01.0-3.0Z-score trigger level Alert Cointegration Threshold90%80-99%Minimum cointegration percentage
Display Settings
Table Position: 9 position options (default: middle_center)
Table Background Color: Customizable
Highlight Opportunities: Toggle visual highlighting of trading signals
Pre-Configured Stock Pairs
The script includes 20 carefully selected NSE pairs across various sectors:
Financial Services
RELIANCE / ONGC
HDFCBANK / ICICIBANK
SBIN / PNB
KOTAKBANK / AXISBANK
BAJFINANCE / BAJAJFINSV
Information Technology
TCS / INFY
WIPRO / HCLTECH
TECHM / LTIM
Consumer Goods
ITC / HINDUNILVR
TITAN / TANLA
ASIANPAINT / BERGEPAINT
Telecommunications
BHARTIARTL / IDEA
Automotive
MARUTI / TATAMOTORS
Infrastructure & Industrials
LT / UBL
POWERGRID / NTPC
Pharmaceuticals
SUNPHARMA / CIPLA
DIVISLAB / DRREDDY
Materials
ULTRACEMCO / ACC
UPL / JSWSTEEL
Energy
ADANIENT / ADANIPOWER
🎨 Color-Coded Metrics
Correlation
🟢 Green: ≥ Minimum threshold (strong relationship)
🔴 Red: < Minimum threshold (weak relationship)
Z-Score
🔴 Red: |Z| ≥ 2.0 (extreme deviation - trading opportunity)
🟡 Yellow: 0.5 < |Z| < 2.0 (normal range - watch)
🟢 Green: |Z| ≤ 0.5 (mean reversion - exit signal)
Cointegration
🟢 Green: ≥ 70% (strong cointegration)
🟡 Yellow: 50-70% (moderate cointegration)
🔴 Red: < 50% (weak cointegration)
Status
🟢 Green: Long (buy spread)
🔴 Red: Short (sell spread)
🔵 Blue: Exit (close positions)
⚪ Gray: Watch (monitor)
Validation
🟢 Green: Pass (meets all criteria)
🔴 Red: Fail (doesn't meet criteria)
How It Works
1. Data Collection
The script fetches real-time closing prices for all 20 stock pairs from NSE.
2. Statistical Analysis
For each pair, the script calculates:
Log Returns: Natural logarithm of price changes
Correlation: Pearson correlation coefficient between returns
Hedge Ratio: Price ratio smoothed over specified period
Spread: Price difference adjusted by hedge ratio
Z-Score: Standardized spread deviation
3. Signal Generation
Based on Z-score thresholds:
Z ≥ 2.0: Short spread (short overvalued, long undervalued)
Z ≤ -2.0: Long spread (long overvalued, short undervalued)
|Z| ≤ 0.5: Exit positions (spread reverted to mean)
4. Validation
Pairs must meet criteria:
Correlation ≥ minimum threshold
Valid trading signal (entry or exit)
5. Alert Triggering
Alerts fire when pairs simultaneously meet:
Correlation ≥ alert threshold
|Z-score| ≥ alert threshold
Cointegration ≥ alert threshold
Alert System
The script features a single comprehensive alert that monitors all pairs:
Consolidated Notifications: One alert for all qualifying pairs
Detailed Information: Includes pair names, signal type, and key metrics
Visual Indicators: Red label on chart with complete details
Customizable Thresholds: Adjust sensitivity based on trading style
Alert Message Format
PAIR TRADING OPPORTUNITIES
Pair X: STOCK1/STOCK2
Signal: LONG/SHORT Spread
Z-Score: X.XX
Correlation: X.XXX
Cointegration: XX.X%
Trading Strategy Guide
Entry Rules
Long Spread (Z-score ≤ -2.0):
Buy Stock Y
Sell Stock X (in ratio of hedge ratio)
Short Spread (Z-score ≥ 2.0):
Sell Stock Y
Buy Stock X (in ratio of hedge ratio)
Exit Rules
Close positions when Z-score returns to ±0.5
Set stop-loss at Z-score ±3.0 (extreme deviations)
Risk Management
Only trade pairs with correlation ≥ 0.7
Prefer cointegration scores ≥ 90%
Monitor hedge ratio changes
Diversify across multiple pairs
Customization Options
Adding New Pairs
Simply modify the stock symbol inputs in the respective pair groups (Pair 1 through Pair 20).
Adjusting Sensitivity
Conservative: Increase Z-score threshold to 2.5-3.0
Aggressive: Decrease Z-score threshold to 1.5-2.0
Long-term: Increase lookback period to 500
Short-term: Decrease lookback period to 50-100
Visual Preferences
Change table position to suit your layout
Adjust background colors for better contrast
Toggle opportunity highlighting on/off
Technical Notes
Calculation Method
Uses logarithmic returns for correlation (better statistical properties)
Z-score normalized by standard deviation
Cointegration approximated using correlation strength
Hedge ratio smoothed using simple moving average
Performance Considerations
Calculations update on every bar close
Table displays only on the last bar
Alert checks occur at bar close
Maximum 500 labels supported (more than sufficient)
Limitations
Does not account for transaction costs
Assumes linear relationships between pairs
Historical correlation doesn't guarantee future behaviour
Requires sufficient liquidity in both stocks
Best Practices
Back test Thoroughly: Test parameters on historical data before live trading
Monitor Regularly: Check pairs daily for validation changes
Diversify: Trade multiple pairs to reduce risk
Stay Informed: Be aware of corporate actions, news affecting pairs
Adjust Parameters: Optimize for current market conditions
Use Stop-Losses: Protect against extreme divergences
Track Performance: Maintain trading journal for continuous improvement
Indicator Information
Version: Pine Script v5
Overlay: False (separate pane)
Max Labels: 500
Update Frequency: Every bar close
Compatible Timeframes: All (works best on daily or higher)
Getting Started
Add to Chart: Apply indicator to any NSE stock
Configure Pairs: Adjust stock symbols as needed
Set Parameters: Customize calculation and alert settings
Create Alert: Set up Trading View alert for notifications
Monitor: Watch the table for trading opportunities
Execute: Trade based on validated signals
📞Support & Updates
This script is designed for educational and research purposes. Always:
Conduct thorough back testing
Use proper risk management
Consider transaction costs
Consult with financial advisors
Trade responsibly
Disclaimer: This indicator is for educational purposes only. Past performance does not guarantee future results. Always conduct your own research and risk assessment before trading.
EMA Trend ScreenerThe EMA Trend Screener is a multi-symbol dashboard that quickly shows the trend direction of up to 40 cryptocurrencies (or any selected assets) based on their relationship to a chosen Exponential Moving Average (EMA).
For each symbol, the script checks whether the current price is above or below the specified EMA (default 75).
• Green = Uptrend (price above EMA)
• Red = Downtrend (price below EMA)
All results are displayed in a compact on-chart table, updating in real time for your selected timeframe.
Main benefits:
• Instantly monitor trend direction across multiple coins or markets
• Fully customizable symbol list (up to 40 assets)
• Adjustable EMA length for different trading styles
• Works on any timeframe
• Lightweight and efficient visual summary
In short:
EMA Trend Screener gives traders a fast, clean overview of which markets are trending up or down — ideal for trend following, momentum filtering, or trade selection.
Сreated with vibecoding using ChatGPT and Claude.
Fusion Screener📘 Fusion Screener (MA + Oscillator + Range Breakout + Angle Filter + Trailing Alerts)
The Fusion Screener is a technical-analysis study that combines multiple indicator categories into one framework.
It evaluates moving-average alignment, oscillator conditions, range separation, and angle thresholds, and it optionally issues time- or structure-based trailing alerts.
The script is intended for screening and chart-based analysis, not for generating trading or investment advice.
🔧 Main Components
Moving-Average Votes – Calculates five moving averages (10 – 200 periods) on a selected analysis timeframe and counts how many are positioned above or below the current price.
Oscillator Votes – Evaluates RSI, MACD, and Momentum on the same timeframe and counts bullish or bearish readings.
Higher-Timeframe Filter – Optionally checks the relationship between price and an EMA on a higher timeframe to provide directional context.
Range-Breakout Logic – Compares two customizable moving averages and determines whether price has moved outside a defined separation threshold.
Angle Filter – Estimates the slope (in degrees) of a chosen moving average and filters conditions that do not meet the minimum angle requirement.
Trailing Alerts – Generates optional time-based or structure-based reminder alerts after entries occur, according to user-defined intervals or pivot behavior.
⚙️ User Inputs
Analysis Timeframe – Selects the timeframe used for MA and oscillator calculations.
Min MA Votes / Min Oscillator Votes – Minimum number of bullish or bearish readings required to satisfy each group.
Higher-Timeframe Confirmation – Enables or disables the directional EMA filter from a separate timeframe.
Range MA Type / Lengths / Threshold – Parameters controlling the range-breakout comparison.
Angle Filter Settings – Type, length, slope-lookback, and minimum angle (degrees).
Trailing Alerts – Options for bar-based or structure-based trailing reminders, including repetition behavior and pivot lookback length.
Show Signals – Toggles on-chart markers for informational visualization.
🖥️ Outputs
On-chart shapes marking informational “buy,” “strong buy,” “sell,” and “strong sell” conditions when corresponding criteria are met.
Exit markers when prior conditions no longer hold.
Flags when time- or structure-based trailing alerts are triggered.
Built-in alert conditions that can be linked through the TradingView alert interface.
📊 Technical Notes
Uses request.security() for multi-timeframe data retrieval.
Does not repaint past bars once higher-timeframe candles have closed.
Intended for monitoring the coexistence of several technical factors within a single script.
No part of this study constitutes financial or trading advice; it provides analytical data for chart observation only.
Overleverage Short Screener Alert Overleverage Short Screener Alert Guide (inspired by a posting "an on-chain trader nicknamed "Calm Order King" has reportedly made over $10 million in porfit this month - mainly by shorting BTC and SOL at precise reversal points", this script tries to guess his work.
🎯 Purpose of the Script
The script aims to identify potential **shorting opportunities** in derivatives markets (Perpetual Futures).
It looks for a setup often associated with a "long squeeze" or "blow-off top" by checking three criteria simultaneously: **High Excitement**, **Liquidity Buildup**, and the start of a **Price Dip**.
***
### 🛠️ Customize Inputs (Settings)
Access the indicator's settings window to adjust the following values:
Funding Rate Threshold (%):** Controls the required bar momentum (proxy for excitement). *Adjust between 0.01 and 0.05.*
OI MA Period:** Sets the lookback period for the Open Interest/Volume trend. *Use 7 to 14.*
OI Spike % Above MA:** Defines how far above its trend the Volume/OI must be to signal high liquidity buildup. *Try 20.0 to 50.0.*
Price Drop % From X-Period High:** Sets the minimum percentage drop required from the recent high to confirm the setup. *Use 3.0 to 7.0.*
High Timeframe:** The period used to calculate the "recent high." *Use '7D' (7 Days) or '1D' (1 Day).*
***
🔔 Reading the Signal and Setting Alerts
Visual Signal (Short\_Alert):** A **red triangle down** will appear at the top of the indicator pane when all three conditions are met. The background will also turn light red.
Signal Confirmation:**
* The **FR Proxy % (Blue Line)** must be **above** its blue threshold line.
* The **OI Spike % (Orange Line)** must be **above** its orange threshold line.
* The **Price Drop % (Fuchsia Line)** must be **below** its fuchsia threshold line.
Setting Alerts:**
1. Click the **"Alert"** button (bell icon) on the chart.
2. Set the **Condition** to the indicator's name: **"Overleverage Short Screener Alert
3. Set the specific condition to: **"Overleverage Short Alert"**.
4. The default alert message includes the current percentage values for all three factors for quick review.
RSI-CCI Momentum ScreenerRSI-CCI Momentum Screener;
How to Use:
Apply this script to 1H or 4H timeframe
Works well for NSE stocks, crypto, or forex
Look for a green label “BUY” that shows when the screener conditions are met
Pradeep Vad - Quallamaggie Stock ScreenerBelow is a Pine Script that implements a custom stock screener based on your requirements. This script uses TradingView's Pine Script version 5 and allows you to screen stocks using the Pine Screener with the specified features and customization options.
Peak & Valley Screener RadarThis Pine Script indicator is designed to help traders and investors analyze the percentage distance of stock prices from their recent All-Time High (ATH) and All-Time Low (ALH) over a user-defined number of bars.
It functions as a multi-stock screener, scanning a customizable list of stocks (default: 40 BIST 500 stocks) and displaying results in a dynamic table on the chart.
The script identifies stocks that have pulled back more than a specified percentage from their ATH (potential buying opportunities) or risen less than a specified percentage from their ALH (potential caution zones).
Key Features:
Customizable Stock List: Users can input a comma-separated list of stock tickers (e.g., "AAPL,GOOGL,MSFT") to scan any symbols available on TradingView.
User-Defined Parameters: Adjust the lookback period (bars back, default 250), ATH pullback threshold (default 10%), and ALH rise threshold (default 10%).
Dynamic Table Display: Results are shown in a table with two columns: "Distance to TOP" (ATH pullbacks in red) and "Distance to BOTTOM" (ALH rises in green). The table includes input parameters for quick reference and can be positioned anywhere on the chart (top/bottom left/center/right).
Optional Plots: Toggle plots to visualize the percentage distances for the current chart symbol (red for ATH, green for ALH).
Efficient Data Handling: Uses request.security with tuples for optimized multi-symbol data fetching, supporting up to ~80 stocks without exceeding Pine Script limits (adjust table rows if needed for more).
Real-Time Updates: The table updates only on the last bar for performance efficiency.
How It Works:
The script calculates the highest high and lowest low over the specified bars for each stock.
It computes the percentage difference from the current close: negative for ATH (pullback) and positive for ALH (rise).
Stocks meeting the thresholds are listed in the table with their exact percentages.
Usage Tips:
Apply this indicator to any chart (e.g., a BIST index or stock) to run the screener in the background.
Ideal for swing traders scanning for undervalued stocks near ATH or overbought near ALH.
Note: Performance may vary with large stock lists due to TradingView's security call limits (~40-50 calls per script). Test with smaller lists if needed.
You can bypass the 40-stock limit by adding the indicator twice to the chart, entering 40 different stocks in the second indicator and setting a different table position from the first one, allowing you to scan 80 stocks simultaneously. In fact, this way, you can scan as many stocks as your plan's limits allow.
This script is released under the Mozilla Public License 2.0. Feedback and suggestions are welcome, but please adhere to TradingView's House Rules—no guarantees of profitability, use at your own risk.Disclaimer: This is not financial advice. Past performance does not predict future results. Always conduct your own research.
RSI Divergence Screener (MTF)
This powerful screener identifies RSI divergences across multiple symbols and timeframes, presenting the results in a clean, easy-to-read table. It screens for both regular bullish and bearish divergences, allowing you to quickly spot potential trend reversals.
The screener tracks the status of each divergence, categorizing it as:
Active (A): A divergence has formed and is still developing.
Complete (✔): The divergence has been confirmed (optionally, by the RSI crossing the 50 midpoint).
Expired (X): The divergence has persisted for too long without confirmation.
Invalidated (✖): A new high or low has been made, nullifying the divergence.
With customizable settings for RSI length, divergence sensitivity, and the ability to select up to six symbols and three timeframes, this tool is ideal for traders who want to monitor multiple markets efficiently.
Future Features
Expanded Divergence Types: The indicator will be enhanced to detect Hidden Bullish and Hidden Bearish divergences, which signal trend continuation. This will provide a more comprehensive view of potential trading opportunities.
Advanced Completion Flags: Users will have greater control over how a divergence is confirmed. New options will include:
RSI Level Confirmation: The ability to specify any RSI level (e.g., 30 or 70) for completion, rather than being limited to the midpoint of 50.
Breakout/Breakdown Confirmation: A divergence will be marked as complete when the price breaks out above the previous pivot high for a bullish divergence, or breaks down below the previous pivot low for a bearish divergence. This is a powerful signal that the trend has reversed.
TTM Squeeze Value OscillatorThis indicator is specifically designed for use with TradingView's Stock Screener, not for chart analysis. It provides numerical values and binary signals that allow traders to efficiently scan stocks for specific TTM Squeeze conditions, momentum patterns, and EMA alignments.
What It Does
The TTM Squeeze Value Oscillator converts the popular TTM Squeeze indicator into a screenable format by outputting specific numerical values and binary signals (1 or 0) that can be filtered in TradingView's screener tool.
Key Features
1. TTM Squeeze Compression Levels
Value 0: Low Compression (Black) - Bollinger Bands inside outer Keltner Channels
Value 1: Mid Compression (Red) - Bollinger Bands inside middle Keltner Channels
Value 2: High Compression (Orange) - Bollinger Bands inside inner Keltner Channels
Value 3: Squeeze Fired (Green) - Bollinger Bands outside Keltner Channels
2. Momentum Analysis
Four distinct momentum conditions based on TTM Squeeze methodology:
Buy Momentum Increasing - Positive momentum growing stronger
Buy Momentum Decreasing - Positive momentum weakening
Sell Momentum Increasing - Negative momentum growing stronger
Sell Momentum Decreasing - Negative momentum weakening
3. EMA Stacking Analysis
Three EMA alignment patterns using 8, 21, and 48 period EMAs:
EMA Stacked Bullish - 8 EMA > 21 EMA > 48 EMA (uptrend alignment)
EMA Stacked Bearish - 8 EMA < 21 EMA < 48 EMA (downtrend alignment)
EMA Mixed - EMAs not in clear bullish or bearish alignment
4. Consecutive Day Counters
Tracks how many consecutive days each squeeze condition has persisted:
Low Compression Days
Mid Compression Days
High Compression Days
Squeeze Fired Days
5. Combined Signal Analysis
Pre-calculated combinations of squeeze conditions with momentum:
All squeeze levels combined with all four momentum conditions
16 total combined signals for advanced screening
Altcoin Screener | QuantumResearchAltcoin Screener | QuantumResearch
🔍 Multi-Factor Asset Ranking & Portfolio Allocator for Altcoins
This screener is an advanced tool designed to help crypto investors identify the strongest-performing altcoins among a custom selection of up to 40 assets. It evaluates multiple factors across trend strength, momentum, relative performance, and risk-adjusted returns — then allocates a portfolio accordingly.
🔬 How it Works:
Each altcoin is scored using a blend of custom-built indicators developed by QuantumResearch:
Beta (volatility relative to BTC) – Measures how much an asset moves compared to Bitcoin. Higher beta = higher volatility.
Alpha – Measures the asset’s excess return versus Bitcoin (BTC is the required benchmark for this model).
ARSI – Adaptative RSI signal score to determine directional strength.
AVWO – Adaptative Volume-weighted momentum oscillator detecting momentum
Uni1 – Universal algorithme 1
Uni2 – Universal algorithme 2
7D ROC – 7-day rate of change (short-term momentum).
Relative Strength Matrix – Evaluates price ratio behavior between all selected assets.
Omega Ratio – A refined risk/reward filter favoring stable upside.
All scores are aggregated into a Final Score, which determines each token’s overall rank in the current environment.
⚠️ Important Requirements:
This script must be applied to the BTCor TOTAL chart, as BTC/TOTAL is used as the benchmark to compute accurate Beta and Alpha values.
All selected assets must have at least 300 bars of price history to ensure the filters function properly (especially for Alpha, Beta, and Omega computations).
💼 Portfolio Allocation Modes:
Choose how you'd like to allocate based on your risk preference:
🧠 Conservative → Top 3 assets (50% / 30% / 20%)
⚖️ Mix → Top 2 assets (80% / 20%)
🔥 Aggressive → Top 1 asset (100%)
The result is a simple and powerful table showing your top allocations, backed by sound multi-factor analysis.
📊 Key Features:
Supports up to 40 customizable assets from any exchange
Displays performance stats like Beta, Alpha, and Omega
Color-coded tables highlight winners, metrics, and risk zones
Automatically updates allocation tables based on rankings
View mean & median values for deeper benchmarking
🧠 Use Cases:
Build a custom altcoin portfolio with solid statistical backing
Identify strong trends early with momentum + ratio blend
Visualize volatility and risk-adjusted strength versus BTC
Allocate based on signals, not social hype
🔧 Built by QuantumResearch
📈 Engineered for strategic signal discovery
⚠️ For research and educational purposes only — not financial advice.
Market Snap Shot with Pine ScreenerMarket Snap Shot
The Market Snap Shot is a comprehensive technical analysis tool designed to track and display key price metrics across multiple timeframes, including daily, weekly, monthly, quarterly, and yearly data. This script provides a range of essential calculations for traders and investors, enabling them to assess price action, volatility, and market trends at a glance.
Features:
Daily Metrics: Includes the daily percentage change, closing range relative to the daily high/low.
Weekly Metrics: Tracks weekly open, close, range, and calculates week-to-date performance for a broader market view.
Monthly Metrics: Provides similar calculations for monthly price action, offering insights into monthly performance.
Quarter-to-Date (QTD): Displays performance for the current quarter, offering insights into quarterly price movements.
Year-to-Date (YTD): Calculates year-to-date price change, helping users track performance relative to the start of the year.
52-Week High/Low: Displays the current price's distance from the 52-week high and low, giving context to long-term price levels.
Usage:
Traders can use this screener to quickly assess the current market position and make informed decisions based on short-term and long-term trends.
Investors can leverage the 52-week and YTD metrics to gauge the overall strength of an asset in the market.
The tool is versatile for both active traders looking for real-time performance data and for those focusing on longer-term market trends.
Instructions:
This script displays multiple metrics such as percentage changes and range data for daily, weekly, monthly, quarterly, and yearly timeframes. It is designed to be used as a screener tool to assess price action and monitor performance across these key time periods.
Warning:
The "Market Snap Shot" does not provide buy or sell signals but rather serves as a performance tracking tool. Users are encouraged to use this data in conjunction with other technical and fundamental analysis tools.
Average Price Range Screener [KFB Quant]Average Price Range Screener
Overview:
The Average Price Range Screener is a technical analysis tool designed to provide insights into the average price volatility across multiple symbols over user-defined time periods. The indicator compares price ranges from different assets and displays them in a visual table and chart for easy reference. This can be especially helpful for traders looking to identify symbols with high or low volatility across various time frames.
Key Features:
Multiple Symbols Supported:
The script allows for analysis of up to 10 symbols, such as major cryptocurrencies and market indices. Symbols can be selected by the user and configured for tracking price volatility.
Dynamic Range Calculation:
The script calculates the average price range of each symbol over three distinct time periods (default are 30, 60, and 90 bars). The price range for each symbol is calculated as a percentage of the bar's high-to-low difference relative to its low value.
Range Visualization:
The results are visually represented using:
- A color-coded table showing the calculated average ranges of each symbol and the current chart symbol.
- A line plot that visually tracks the volatility for each symbol on the chart, with color gradients representing the range intensity from low (red/orange) to high (blue/green).
Customizable Inputs:
- Length Inputs: Users can define the time lengths (default are 30, 60, and 90 bars) for calculating average price ranges for each symbol.
- Symbol Inputs: 10 symbols can be tracked at once, with default values set to popular crypto pairs and indices.
- Color Inputs: Users can customize the color scheme for the range values displayed in the table and chart.
Real-Time Ranking:
The indicator ranks symbols by their average price range, providing a clear view of which assets are exhibiting higher volatility at any given time.
Each symbol's range value is color-coded based on its relative volatility within the selected symbols (using a gradient from low to high range).
Data Table:
The table shows the average range values for each symbol in real-time, allowing users to compare volatility across multiple assets at a glance. The table is dynamically updated as new data comes in.
Interactive Labels:
The indicator adds labels to the chart, showing the average range for each symbol. These labels adjust in real-time as the price range values change, giving users an immediate view of volatility rankings.
How to Use:
Set Time Periods: Adjust the time periods (lengths) to match your trading strategy's timeframe and volatility preference.
Symbol Selection: Add and track the price range for your preferred symbols (cryptocurrencies, stocks, indices).
Monitor Volatility: Use the visual table and plot to identify symbols with higher or lower volatility, and adjust your trading strategy accordingly.
Interpret the Table and Chart: Ranges that are color-coded from red/orange (lower volatility) to blue/green (higher volatility) allow you to quickly gauge which symbols are most volatile.
Disclaimer: This tool is provided for informational and educational purposes only and should not be considered as financial advice. Always conduct your own research and consult with a licensed financial advisor before making any investment decisions.
Multiple Indicators Screener v2After taking the approval of Mr. QuantNomad
Multiple Indicators Screener by QuantNomad
New lists have been modified and added
Built-in indicators:
RSI (Relative Strength Index): Provides trading opportunities based on overbought or oversold market conditions.
MFI (Cash Flow Index): Measures the flow of cash into or from assets, which helps in identifying buying and selling areas.
Williams Percent Range (WPR): Measures how high or low the price has been in the last time period, giving signals of periods of saturation.
Supertrend: Used to determine market direction and potential entry and exit locations.
Volume Change Percentage: Provides an analysis of the volume change percentage, which helps in identifying demand and supply changes for assets.
How to use:
Users can choose which symbols they want to monitor and analyze using a variety of built-in indicators.
The indicator provides visual signals that help traders identify potential trading opportunities based on the selected settings.
RSI in purple = buy weak liquidity (safe entry).
MFI in yellow = Liquidity
WPR in blue = RSI, MFI and WPR in oversold areas for all.
Allows users to customize the display locations and appearance of the cursor to their personal preferences.
Disclaimer
Please remember that past performance may not be indicative of future results.
Due to various factors, including changing market conditions, the strategy may no longer perform as well as in historical backtesting.
This post and the script don’t provide any financial advice.
=========================================================================
فاحص لمؤشرات متعددة مع مخرجات جدول شاملة لتسهيل مراقبة الكثير من العملات تصل الى 99 في وقت واحد
بختصر الشرح
ظهور اللون البنفسجي يعني كمية الشراء ضعف السيولة .
ظهور اللون الازرق جميع المؤشرات وصلة الى مرحلة التشبع البيعي ( دخول آمن )
ظهور اللون الاصفر يعني السيولة ضعفين الشراء ( عكس اتجاه قريب ) == ركزو على هاللون خصوصا مع عملات الخفيفة
Liquidation Level ScreenerThe Liquidation Level Screener is an analytical tool designed for traders who seek a comprehensive view of potential liquidation zones in the market. This script, adaptable to almost any timeframe from 1 minute to 3 days, offers a unique perspective by mapping out key liquidation levels where significant market actions could occur.
Key Features:
Multi-Exchange Data Aggregation: Unlike many other indicators, the Liquidation Levels Indicator compiles data from multiple leading exchanges including Binance, Bitmex, Kraken, and Bitfinex. This approach ensures a more holistic and accurate representation of market sentiment, providing insights into potential liquidation points across various platforms.
Customizable Timeframes and Modes: The script is versatile, working effectively across various timeframes. It operates in two distinct modes:
Actual Levels Display: Visually represents potential liquidation levels.
Settings Mode: Showcases an open interest (OI) oscillator. When OI is exceptionally high, indicating a surge in opened positions at a specific candle, it signals traders to be vigilant about upcoming liquidation levels.
Three-Tier Liquidation System: The indicator categorizes liquidation levels into three distinct tiers based on open interest levels—1, 2, and 3—with Level 3 representing the highest concentration of open positions. This tiered approach allows traders to gauge the significance of each level and adjust their strategies accordingly.
Histogram Visualization: A novel feature of this script is the histogram on the chart's right side, representing the concentration of liquidation levels in specific market zones. This visual aid helps traders identify crucial areas that warrant close attention, enhancing decision-making.
Customizable Options:
Moving Averages: Choose from a wide range of moving average types, including VWMA, SMA, EMA, and more, to tailor the indicator to your analysis style.
Histogram Settings: Adjust the number of histograms, lookback bars, and their proximity to the latest candle, allowing for a personalized density and range of visualization.
Liquidation Level Sensitivity: Set thresholds for different liquidation levels, fine-tuning the indicator to detect varying degrees of market leverage.
Color Coding: Customize the color scheme for different leverage levels, enhancing visual clarity and ease of interpretation.
The Liquidation Level Screener offers a unique edge by highlighting potential zones where significant market movements can occur due to liquidations. By consolidating data from multiple exchanges, it provides a more rounded view of market behavior, which is essential in today’s interconnected trading environment. The tiered liquidation system and histogram feature equip traders with the ability to identify and focus on key market segments where high activity is expected. This tool is particularly valuable for traders who base their strategies on market liquidity and leverage dynamics.
Forex Master Pattern Screener 2Overview
The Forex Master Pattern Screener 2 is based on the Master Pattern, which includes contraction, expansion, and trend phases. This indicator is designed to identify and visualize market volatility, market phases, multi-timeframe contractions, liquidity points, and pivot calculations. It provides a clear image of the market's expansion and contraction phases. It's based on an alternative form of technical analysis that reveals the psychological patterns of financial markets through three phases.
Unlike the other master pattern indicators that just use highs and lows and aren't as accurate for finding contractions, this one uses actual measures of volatility to find extremely low levels of volatility and has customizable parameters depending on what you want to do.
What is the Forex Master Pattern?
The Forex Master Pattern is a framework that revolves around understanding market cycles, comprising the three main phases: contraction, expansion, and trend.
Contraction Phase: During this phase, the market has low volatility and is consolidating within a narrow range. Institutional volume tends to be low, and it's suggested to avoid trade entries during this period.
Expansion Phase: Volatility starts to increase, and there start to be bigger moves in price. Institutional traders start accumulating positions in this phase, and they might manipulate prices to draw in retail traders, creating liquidity for their own buying or selling goals.
Trend Phase: This final phase completes the market cycle. Institutional traders begin taking profits, leading to a reversal. This triggers panic among retail traders, resulting in liquidations and stops. This generates liquidity for institutional traders to profit, leaving retail traders with overvalued positions.
Value Line:
The "value line" acts as the fair value zone or the neutral belief zone where buyers and sellers agree on fair value. It can be likened to the center of gravity and is created during contraction zones.
Applications:
Identifying these phases and understanding the value lines can help traders determine the market's general direction and make better trading decisions.
This isn't a strategy but a concept explaining market behavior, allowing traders to develop various strategies based on these principles
The contractions, which are based on volatility calculations, can help you find out when big moves will occur, known as expansions.
How traders can use this indicator
1. Identifying Market Phases:
Contraction Phase: Look for periods where the market has low volatility and is contracting, indicated by a narrow range and highlighted by the contraction box. During this phase, traders prepare for a breakout but usually avoid making new trades until a clearer trend emerges.
Expansion Phase: When the indicator signals an expansion, it suggests that the market is moving out of consolidation and may be beginning a new trend. Traders might look for entry points here, anticipating a continuation of the trend.
Trend Phase: As the market enters this phase, traders look for signs of sustained movement in one direction and consider positions that benefit from this trend.
2. Multi-Timeframe Analysis:
By looking at multiple timeframes, traders can get a broader view of the market. For instance, a contraction phase in a shorter timeframe within an expansion phase in a longer timeframe might suggest a pullback in an overall uptrend. This indicator comes with a MTF contraction screener that is customizable.
2. Fair Value Lines:
The fair value acts like a "center of gravity.". Traders could use this as a reference point for understanding market sentiment and potential reversal points. This indicator shows these values in the middle of the contraction boxes.
3. Volatility Analysis:
This indicator's volatility settings can help traders understand the market's current volatility state. High volatility indicates a more active market with larger, faster moves, while low volatility might suggest caution and tighter stop-losses or take-profits. If volatility is contracting, then an expansion is imminent. This indicator shows the volatility with percentile ranks in 0-100 values and also alerts you when volatility is contracting, aka the contraction phase.
Volatility Calculations:
This indicator uses a geometric standard deviation to measure volatility based on historical price data. This metric quantifies the variability of price changes over a specified lookback period and then computes a percentile rank within a defined sample period. This percentile calculation helps evaluate the current volatility compared to historical levels.
Based on the percentile rank, the indicator sets thresholds to determine whether the current volatility is within a range considered "contraction" or not. For example, if there are really low levels of volatility on the percentile rank, then there is currently a contraction phase. The indicator also compares the volatility value against a moving average, where values above the current moving average value signal the expansion phase.
Multi-Timeframe Analysis (MTF):
This indicator comes with a multi-timeframe table that shows contractions for 5 different timeframes, and the table is customizable.
Bands:
This indicator comes with bands that are constructed based on the statistical calculations of the standard deviation applied to the log-transformed closing prices. It is commonly assumed that the distribution of prices fits some type of right-skewed distribution. To remove most of the skewness, you can use a log transformation , which makes the distribution more symmetrical and easier to analyze, thus the use of these bands . These bands are in the 2 standard deviation range. You can use these bands to trade at extreme levels. The band parameter is based on the contraction volatility lookback, which is in the Volatility Model Settings tab.
Ways the bands could be used with the contractions:
1. Identifying Breakout trades:
Contraction Zones: These zones indicate periods of low volatility where the market is consolidating. There are usually narrow price ranges, which are considered a build-up phase before a significant price move in any direction.
Bands: When the contraction zone occurs, you might notice the bands tightening around the price on smaller lookback periods, reflecting the decreased volatility. A continuous widening of the bands could then signal the beginning of an expansion phase, indicating a potential breakout opportunity.
2. Enhancing Trade Timing:
Before the Breakout: During the contraction phase, the bands might move closer together, reflecting the lower volatility. You can monitor this phase closely and prepare for a potential expansion. The bands can provide additional confirmation; for instance, a price move toward one of the bands might show an extreme occurrence and might show what the direction of the breakout could be.
After the breakout: Once the price breaks out of the contraction zone and goes to the expansion phase, and if it coincides with the bands widening significantly, it could reinforce the strength and potential sustainability of the new trend, providing a clearer entry.
3. Price-touching bands during a contraction:
If the price repeatedly touches one of the bands during a contraction phase, it might suggest a buildup of pressure in that direction. For example, if the price is consistently touching the upper band even though the bands are narrow, it might suggest bullish pressure that could occur once the expansion phase begin.
4. Price at the band extreme levels during Expansion:
If the price is at the extreme levels of the bands once the expansion phase occurs, it might indicate unsustainable levels and a low probability of the price continuing beyond those levels. Potentially signaling that a reversal will occur. Some trades could use these extremes to place entries during the expansion phases.
Liquidity Levels:
This script comes with liquidity points, whose functionality goes towards identifying pivotal levels in price action, focusing on swing highs and swing lows in the market. These points represent areas where significant buying (for swing lows) or selling (for swing highs) activity has occurred, implying potential levels or resistance in the price movement.
These liquidity points, often identified as highs and lows, are points where market participants have shown interest in the past. These levels can act as psychological indications where traders might place orders, leading to increased trading activity when these levels are approached or breached. When used with the Forex Master Pattern phases, liquidity levels can enhance trades placed with this indicator. For instance, if the market is expanding and approaches a significant liquidity level, there might be a higher chance of a breakout or reversal, showing a possible entry or exit point.
Liquidity Levels in the Contraction Phase:
Accumulation and Distribution: During the contraction phase, liquidity levels can indicate where huge positions are likely accumulating or distributing quietly. If price is near a known liquidity level and in a contraction phase, it might suggest that a large market player is building a position in anticipation of the next move.
Breakout Points: Liquidity levels can also give clues about where price could go after the breakout from the contraction phase. A break above a liquidity level might indicate a strong move to come as the market overcomes significant selling pressure.
Liquidity Levels in Expansion Phase:
Direct Confirmation: As the expansion phase begins, breaking through liquidity levels can confirm the new trend's direction. If the price moves past these levels with huge volume, it might indicate that the market has enough momentum to continue the trend.
Target Areas: Liquidity levels can act as target areas during the expansion phase. Traders using this indicator could look to take profits if the price approaches these levels, possibly expecting a reaction from the market.
Cuban's Range PositioningCuban's Range Positioning is the primary backbone of Cuban's Asset Screener and a fantastic standalone market screening tool.
Range Positioning allows the trader to monitor the positioning of over 200+ Binance and Bybit Futures assets within a single window, with a standard measurement of performance, and also with custom watchlist support.
The range calculation itself uses the unique logic of Cuban's Donchian Suite, retaining highs and lows until the opposite side of the range is tagged.
When viewed historically, the Range Positioning screener allows traders to monitor any assets that are continually pushing range highs and lows, identify outliers, and track trending sectors relative to the rest of the market. This script makes this identification easier for the user by making assets that aren't approaching highs or lows, transparent.
Included within this indicator is the option to redenominate the quote asset of all assets on screen using the current chart ticker.
Within the user inputs, the user gains the ability to customize the following:
Range lookback
Asset redenomination
Location of the asset table
Percentage of assets highlighted or made transparent
Dynamic labelling offset
Over 200+ Binance and Bybit Futures assets
TO DO:
Customize number of assets on screen
Allow values beyond the initial range
Nasdaq 100 ScreenerNasdaq 100 screener is comprehensive table displaying the following parameters :
Op = Open Price of the Day.
LaP = Last Price.
O-L = Open Price of the Day - Last Price.
ROC = Rate of Change .
SMA20 = Simple Moving Average 20 period.
S20d = Last Price - SMA 20.
SMA50 = Simple Moving Average 50 period.
S50d = Last Price - SMA 50.
SMA200 = Simple Moving Average 200 period.
S200d = Last Price - SMA 200.
ADX(14) = Average Directional Index.
RSI(14) = Relative Strength Index.
CCI(20) = Commodity Channel Index.
ATR(14) = Average True Range.
MOM(10) = Momentum.
AcDis(K) = Accumulation/Distribution.
CMF(20) = Chaikin Money Flow.
MACD = Moving Average Convergence Divergence.
Sig = MACD signal.
Nasdaq 100 stocks are divided into following alphabetical grouping for input access purpose under “Options” in “Settings” menu.
A to B 21 stocks “Input symbols” are listed under the “Options” in “Input A to B”
C to E 18 stocks “Input symbols” are listed under the head “Options” in “Input C to E”
F to L 19 stocks “Input symbols” are listed under the head “Options” in “Input F to L”
M to P 22 stocks “Input symbols” are listed under the head “Options” in “Input M to P”
R to Z 20 stocks “Input symbols” are listed under the head “Options” in “Input R to Z”
A to Z 100 stocks “Input symbols” are listed under the head “Options” in “Input A to Z”
User after visiting the “Settings” menu simply is required to select the “input symbol” from the stock listed under respective alphabetical Input lists to which the particular stock belongs. The resultant data is tabulated under respective row in Table .At a time User can see 5 different stocks i.e one each in different alphabetical lists in respective alphabetical order rows stated in the Table. User can scroll in each list to access and shift to any other stock in the list. In addition a Master list of all 100 stocks is given under “ Input A to Z “ at the last row of table.
Nasdaq 100 screener is a simple table , which facilitate to view 6 different stocks at a time (inclusive one from Master list of “Input A to Z” with a display of 19 parameters.
5 Symbol screener with triple MA and RSIBelow is a simple screener script fitted with 5 different symbols in the first column and in the other 4 columns the screener displays the respective moving averages and the RSI, the user has the ability to change between timeframes and different moving averages such as the SMA, EMA, RMA and WMA .
