Cari dalam skrip untuk "screener"
Tradingview - Screener RatingsEver wondered what is behind the the Tradingview Screener Signals:
www.tradingview.com
Strong buy is between 0.5 and 1
Buy is between 0 and 0.5
Sell is between 0 and -0.5
Strong Sell is between -0.5 and -1
[#ps #mft] RDT's Real Relative StrengthIndicator to use with Pine Screener for filtering watchlists with RDT's Real Relative Strength.
See r/realdaytrading for more info on the RRS.
How to:
1. Mark the indicator as "Favorite".
2. Open Pine Screener.
3. Choose a watchlist.
4. Choose this indicator.
5. Change the settings as needed.
6. Make sure you set timeframe to "5 minutes" and not the default "1 day".
If you choose "Bullish trend", then "Signal X" is a shortcut for RRS > 0 for that timeframe. Similarly "Bearish trend" for "Signal X" means RRS < 0.
Pro-tip #1: use Symbol syncing between tabs to easily go over the results.
Pro-tip #2: you can have two tabs open for "Bullish" and "Bearish" pine screeners (even synced to the same color), so you don't have to change settings everytime.
My script//@version=5
indicator("12M High Volume Screener", overlay=false, screen=true)
// Calculate 12-month window dynamically
var int lookbackDays = 252
var int maxBarsBack = 5000
// Define timeframe for volume analysis (daily regardless of chart TF)
dailyVolume = request.security(syminfo.tickerid, "D", volume, lookahead=barmerge.lookahead_on)
// Calculate highest volume over trailing 12 months (excl. current bar)
highestVol = ta.highest(dailyVolume , lookbackDays)
// Detect volume breakout condition
volumeBreakout = dailyVolume > highestVol and barstate.isrealtime
// Screener output formatting
screener_output = volumeBreakout ? 1 : 0
// Visual confirmation (optional)
plot(screener_output, "Volume Breakout", plot.style_columns,
color=volumeBreakout ? color.new(color.green, 70) : color.gray)
Clenow MomentumClenow Momentum Method
The Clenow Momentum Method, developed by Andreas Clenow, is a systematic, quantitative trading strategy focused on capturing medium- to long-term price trends in financial markets. Popularized through Clenow’s book, Stocks on the Move: Beating the Market with Hedge Fund Momentum Strategies, the method leverages momentum—an empirically observed phenomenon where assets that have performed well in the recent past tend to continue performing well in the near future.
Theoretical Foundation
Momentum investing is grounded in behavioral finance and market inefficiencies. Investors often exhibit herding behavior, underreact to new information, or chase trends, causing prices to trend beyond fundamental values. Clenow’s method builds on academic research, such as Jegadeesh and Titman (1993), which demonstrated that stocks with high returns over 3–12 months outperform those with low returns over similar periods.
Clenow’s approach specifically uses **annualized momentum**, calculated as the rate of return over a lookback period (typically 90 days), annualized to reflect a yearly percentage. The formula is:
Momentum=(((Close N periods agoCurrent Close)^N252)−1)×100
- Current Close: The most recent closing price.
- Close N periods ago: The closing price N periods back (e.g., 90 days).
- N: Lookback period (commonly 90 days).
- 252: Approximate trading days in a year for annualization.
This metric ranks stocks by their momentum, prioritizing those with the strongest upward trends. Clenow’s method also incorporates risk management, diversification, and volatility adjustments to enhance robustness.
Methodology
The Clenow Momentum Method involves the following steps:
1. Universe Selection:
- A broad universe of liquid stocks is chosen, often from major indices (e.g., S&P 500, Nasdaq 100) or global exchanges.
- Filters should exclude illiquid stocks (e.g., low average daily volume) or those with extreme volatility.
2. Momentum Calculation:
- Stocks are ranked based on their annualized momentum over a lookback period (typically 90 days, though 60–120 days can be common tests).
- The top-ranked stocks (e.g., top 10–20%) are selected for the portfolio.
3. Volatility Adjustment (Optional):
- Clenow sometimes adjusts momentum scores by volatility (e.g., dividing by the standard deviation of returns) to favor stocks with smoother trends.
- This reduces exposure to erratic price movements.
4. Portfolio Construction:
- A diversified portfolio of 10–25 stocks is constructed, with equal or volatility-weighted allocations.
- Position sizes are often adjusted based on risk (e.g., 1% of capital per position).
5. Rebalancing:
- The portfolio is rebalanced periodically (e.g., weekly or monthly) to maintain exposure to high-momentum stocks.
- Stocks falling below a momentum threshold are replaced with higher-ranked candidates.
6. Risk Management:
- Stop-losses or trailing stops may be applied to limit downside risk.
- Diversification across sectors reduces concentration risk.
Implementation in TradingView
Key features include:
- Customizable Lookback: Users can adjust the lookback period in pinescript (e.g., 90 days) to align with Clenow’s methodology.
- Visual Cues: Background colors (green for positive, red for negative momentum) and a zero line help identify trend strength.
- Integration with Screeners: TradingView’s stock screener can filter high-momentum stocks, which can then be analyzed with the custom indicator.
Strengths
1. Simplicity: The method is straightforward, relying on a single metric (momentum) that’s easy to calculate and interpret.
2. Empirical Support: Backed by decades of academic research and real-world hedge fund performance.
3. Adaptability: Applicable to stocks, ETFs, or other asset classes, with flexible lookback periods.
4. Risk Management: Diversification and periodic rebalancing reduce idiosyncratic risk.
5. TradingView Integration: Pine Script implementation enables real-time visualization, enhancing decision-making for stocks like NVDA or SPY.
Limitations
1. Mean Reversion Risk: Momentum can reverse sharply in bear markets or during sector rotations, leading to drawdowns.
2. Transaction Costs: Frequent rebalancing increases trading costs, especially for retail traders with high commissions. This is not as prevalent with commission free trading becoming more available.
3. Overfitting Risk: Over-optimizing lookback periods or filters can reduce out-of-sample performance.
4. Market Conditions: Underperforms in low-momentum or highly volatile markets.
Practical Applications
The Clenow Momentum Method is ideal for:
Retail Traders: Use TradingView’s screener to identify high-momentum stocks, then apply the Pine Script indicator to confirm trends.
Portfolio Managers: Build diversified momentum portfolios, rebalancing monthly to capture trends.
Swing Traders: Combine with volume filters to target short-term breakouts in high-momentum stocks.
Cross-Platform Workflow: Integrate with Python scanners to rank stocks, then visualize on TradingView for trade execution.
Comparison to Other Strategies
Vs. Minervini’s VCP: Clenow’s method is purely quantitative, while Minervini’s Volatility Contraction Pattern (your April 11, 2025 query) combines momentum with chart patterns. Clenow is more systematic but less discretionary.
Vs. Mean Reversion: Momentum bets on trend continuation, unlike mean reversion strategies that target oversold conditions.
Vs. Value Investing: Momentum outperforms in bull markets but may lag value strategies in recovery phases.
Conclusion
The Clenow Momentum Method is a robust, evidence-based strategy that capitalizes on price trends while managing risk through diversification and rebalancing. Its simplicity and adaptability make it accessible to retail traders, especially when implemented on platforms like TradingView with custom Pine Script indicators. Traders must be mindful of transaction costs, mean reversion risks, and market conditions. By combining Clenow’s momentum with volume filters and alerts, you can optimize its application for swing or position trading.
GROK - 40 Day High BreakoutTitle: GROK - Customizable High Breakout Detector
To scan base breakout with Pine Screener
Description:
This Pine Script indicator identifies high breakout patterns based on a user-defined lookback period. By default, it checks for a breakout of the 40-day high, but the period can be adjusted to suit your trading strategy. Key features include:
Custom Lookback Period: Easily modify the number of days for high breakout detection. Lookback period is length of base you want to scan using pine screener.
Visual Alerts: Displays a green triangle above the price bar when a breakout is detected.
Alert Conditions: Built-in alert notifications for automated breakout detection.
Screener Compatibility: Plots breakout signals as a histogram for screener use.
This script is ideal for traders looking to identify strong breakout patterns and incorporate them into their strategies.
How to Use:
Adjust the lookback period in the settings to match your desired breakout criteria.
Add alerts for automated notifications when a breakout is detected.
Use the visual markers and histogram to analyze breakout patterns on your chart.
Correlation AnalysisAs the name suggests, this indicator is a market correlation analysis tool.
It contains two main features:
- The Curve: represents the historic correlation coefficient between the current chart and the “Reference Market” input from the settings menu. It aims to give more depth to the current correlation values found in the second feature.
- The Screener: this second feature displays all correlation coefficient values between the (max) 20 markets inputs. You can use it to create several screeners for several market types (crypto, forex, metals, etc.) or even replicate your current portfolio of investments and gauge the correlation of its components.
Aside from these two previous features, you can visually plot the variation rate from one bar to another along with the covariance coefficient (both used in the correlation calculation). Finally, a simple “signal” moving average can be applied to the correlation coefficient .
I might add alerts to this script or even turn it into a strategy to do some backtesting. Do not hesitate to contact me or comment below if this is something you would be interested in or if you have any suggestions for improvement.
Enjoy!!
Phaser [QuantVue]The Phaser indicator is a tool to help identify inflection points by looking at price relative to past prices across multiple timeframes and assets.
Phase 1 looks for the price to be higher or lower than the closing price of the bar 4 bars earlier and is complete when 9 consecutive bars meet this criterion.
A completed Phase 1 is considered perfect when the highs (bearish) or lows (bullish) have been exceeded from bars 6 and 7 of the phase.
A bullish setup requires 9 consecutive closes less than the close 4 bars earlier.
A bearish setup requires 9 consecutive closes greater than the close 4 bars earlier.
Phase 2 begins once Phase 1 has been completed. Phase 2 compares the current price to the high or low of two bars earlier.
Unlike Phase 1, Phase 2 does not require the count to be consecutive.
Phase 2 is considered complete when 13 candles have met the criteria.
An important aspect to Phase 2 is the relationship between bar 13 and bar 8.
To ensure the end of Phase 2 is in line with the existing trend, the high or low of bar 13 is compared to the close of bar 8.
A bullish imperfect 13 occurs when the current price is less than the low of 2 bars earlier, but the current low is greater than the close of bar 8 in Phase 2.
A bearish imperfect 13 occurs when the current price is greater than the high of 2 bars earlier, but the current high is less than the close of bar 8 in Phase 2.
Phase 2 does not need to go until it is complete. A Phase 2 can be canceled if the price closes above or below the highest or lowest price from Phase 1.
Settings
3 Tickers
3 Timeframes
Show Phase 1
Show Phase 2
User-selected colors
Linear Reg CandlesThe provided Pine Script is a TradingView script for creating a technical analysis indicator called "Humble LinReg Candles." This script includes features such as linear regression for open, high, low, and close prices, signal smoothing with simple or exponential moving averages, and a trailing stop based on Average True Range (ATR). Additionally, the script contains a screener section to display signals for a list of specified symbols.
Here is a breakdown of the script:
Indicator Settings:
It defines various input parameters such as signal smoothing length, linear regression settings, and options for using simple moving averages.
Linear regression is applied to open, high, low, and close prices based on user-defined settings.
ATR Trailing Stop:
It calculates the Average True Range (ATR) and uses it to determine a trailing stop for buy and sell signals.
Signals are generated based on whether the close price is above or below the ATR trailing stop.
Plotting:
The script plots the calculated signal on the chart using the plot function.
Buy and Sell Conditions:
Buy and sell conditions are defined based on the relationship between the close price and the ATR trailing stop.
Plot shapes and bar colors are used to visually represent buy and sell signals on the chart.
Alerts:
Alerts are triggered when buy or sell conditions are met.
Screener Section:
The script defines a screener section to display a watchlist of symbols with long and short signals.
The watchlist includes a set of predefined symbols with corresponding long and short signals.
Table Theme Settings:
The script allows customization of the table theme, including background color, frame color, and text color.
The size and location of the table on the chart can also be customized.
Screener Function:
A function getSignal is defined to determine long and short signals for each symbol in the watchlist.
The getSym function is used to extract the symbol name from the symbol string.
Dashboard Creation:
The script creates a table (dashboard) to display long and short signals for the symbols in the watchlist.
The table includes headers for "Long Signal" and "Short Signal" and lists the symbols with corresponding signals.
Overall, the script combines technical analysis indicators and a screener to help traders identify potential buy and sell signals for a set of specified symbols.
Pro Trading Art - Top N Candle's Gainers/Losers(1-40)Top Gainer/Loser Screener.
Explanation :
With the help of this indicator you can filter top Gainer or Loser in comparison with previous selected range. Suppose you select 5 period inside input tab then this indicator will filter top gainer or losers in 5 days.
Input Parameter:
Timeframe: You can change timeframe of chart. Default timeframe is same as chart.
Period: To select range of candle. Default 5. Means how much price changed in previous 5 candle.
Top : Dropdown option to select top Gainer or Losers
Table Location: Where you want to place your table.
Watchlist Group: You can create watchlist for screener.
TheBlackFish EMA bounce alertAbout
This indicator is an EMA indicator with a built-in screener.
20 different ticker symbols are included in the screener. These ticker symbols must be replaced manually. All ticker symbols are from the Stockholm Stock Exchange, Large Cap.
How it works
The lowest price of a bar should be less than EMA and yesterday's closing greater than EMA.
If no conditions are found, there will be no ticker symbols in the box.
If the conditions are met, the ticker symbol / symbols are displayed in the black text box. The information in the box disappears after each new bar.
The default setting is set to EMA 50, but you can select which EMA value you want in its settings.
Change ticker
If you want to change the ticker symbol, do not forget to change both in "Check tickers" and in "Labels content".
Enjoy!
Enhanced Buy/Sell Pressure, Volume, and Trend Bar analysisEnhanced Buy/Sell Pressure, Volume, and Trend Bar Analysis Indicator
Overview
This indicator is designed to help traders identify buy and sell pressure, volume changes, and overall trend direction in the market. It combines multiple concepts like price action, volume, and trend analysis, candlestick anaysis to provide a comprehensive view of market dynamics. The visual elements are intuitive, making it suitable for traders at different levels. This indicator works together with Enhanced Pressure MTF Screener which is a screener based of this indicator to make it easier to see Bullish/Bearish pressures and trend across multiple timeframes.
Image below: is the Enhanced Buy/Sell Pressure, Volume, and Trend Bar Analysis with the Enhanced Pressure MTF Screener indicator both active together.
Key Features
1.Buy/Sell Pressure Identification
Buy Pressure: Calculated based on price movement where the close price is higher than the opening price.
Sell Pressure: Calculated when the closing price is equal to or lower than the opening price.These pressures help you understand whether buyers or sellers are more dominant for each bar.
2.Volume Analysis
Normalized Volume: Volume data is normalized, making it easier to compare volume levels over different periods.
Volume Histogram: The volume is also presented as a histogram for easy visualization, showing whether the current volume is higher or lower compared to the average.
3.Simplified Coloring Option
You can choose to simplify the coloring of bars to reflect the dominant pressure: green for bullish pressure and red for bearish pressure. This makes it visually easier to identify who is in control. When simplified coloring is disabled, the bars' colors will represent the combined effect of buy and sell pressure.
4.Heikin-Ashi Candles for Pressure Calculation
The indicator includes an option to use Heikin-Ashi candles instead of traditional candles to calculate buy and sell pressure. Heikin-Ashi candles are known for smoothing out price action and providing a clearer trend representation.
5.Trend Background Coloring
This feature uses exponential moving averages (EMAs) to determine the trend:
Short-Term EMA vs. Long-Term EMA: When the short-term EMA is above the long-term EMA, the trend is considered bullish, and vice versa.
The background color changes based on the identified trend: green for an uptrend and red for a downtrend. This feature helps visualize the overall market direction at a glance.
6.Signals for Key Price Actions
The indicator plots various symbols to signal important price movements:
Bullish Close (▲): Indicates a strong upward movement where the close price crosses above the open.
Bearish Close (▼): Indicates a downward movement where the close price falls below the open.
Higher High (•): Highlights new highs compared to previous bars, useful for confirming an uptrend.
Lower Low (•): Highlights lower lows compared to previous bars, which can indicate a downtrend or bearish pressure.
Calculations Explained
1.Buy and Sell Pressure Calculation
The buy pressure is determined by the price range (high - low) if the closing price is above the opening price, indicating an increase in value.
The sell pressure is similarly calculated when the closing price is equal to or below the opening price.
The indicator uses the Average True Range (ATR) for normalization. Normalizing helps you compare pressure across different periods, regardless of market volatility.
2.Volume Normalization
Volume Normalization: To make volume comparable across different periods, the indicator normalizes it using the Simple Moving Average (SMA) of volume over a user-defined length.
Volume Histogram: The histogram provides a clear representation of volume changes compared to the average, making it easier to spot unusual activity that may indicate market shifts.
3.Combined Pressure Calculation
The indicator calculates a combined pressure value by subtracting sell pressure from buy pressure.
When combined pressure is positive, buying is dominant, and when negative, selling is dominant. This helps in visually understanding the ongoing momentum.
4.Trend Calculation
The indicator uses two EMAs to determine the trend:
Short-Term EMA (default 14-period) to capture recent price movements.
Long-Term EMA (default 50-period) to provide a broader trend perspective.
By comparing these EMAs on a higher timeframe, the indicator can identify whether the trend is up or down, making it easier for traders to align their trades with the larger market movement.
Inputs and Customization
The indicator provides several options for customization, allowing you to adjust it to your preferences:
SMA Length: Determines the lookback period for moving averages and volume normalization. A longer length provides more smoothing, whereas a shorter length makes the indicator more responsive.
Buy/Sell/Volume Colors: Customize the colors used to represent buying, selling, and volume to suit your preferences.
Heikin Ashi Option: Toggle between using Heikin Ashi or traditional OHLC (Open-High-Low-Close) candles for pressure calculations.
Trend Timeframe and EMA Periods: You can choose different timeframes and EMA periods for trend analysis to suit your trading strategy.
How to Use This Indicator
Identifying Market Momentum: Use the buy/sell pressure columns to see which side (buyers or sellers) is in control. Positive pressure combined with green color indicates strong buying, while red indicates selling.
Volume Confirmation: Check the volume area plot and histogram. High volume coupled with strong pressure is a sign of conviction, meaning the current move has backing from market participants.
Trend Identification: The trend background color helps identify the overall trend direction. Trade in the direction of the trend (e.g., take long positions during a green background).
Signal Indicators: The plotted symbols like "Bullish Close" and "Bearish Close" provide visual signals of key price actions, useful for timing entry or exit points.
Practical use Example
Scenario: The market is consolidating, and you see alternating green and red bars.
Action: Wait for a consistent sequence of green bars (buy pressure) along with a green background (uptrend) to consider going long, although you can go long without having a green background, the background adds confirmation layer.
Scenario: The market has several bearish closes (red ▼ symbols) accompanied by increasing volume.
Action: This could indicate strong selling pressure. If the background also turns red, it might be a good time to exit long positions or consider shorting.
Higher timeframe pressure and volume: Another way to use the indicator is to check buy/sell volume and pressure of the higher timeframe say weekly or daily or any timeframe you consider higher, once you’ve identified or feel confident in which direction the bar is going along with the full picture of trend, you can go to the lower timeframe and wait for it to sync with the higher timeframe to consider a long or a short. It is also easier to see when markets sync up by also applying the Enhanced Pressure MTF Screener which works in companion to this indicator.
Visual Cues and Interpretation
Combined Pressure Plot: The green and red column plot at the bottom of the chart represents the dominance between buying and selling. Tall green bars signify strong buying, while tall red bars indicate selling dominance.
Trend Background: Helps visualize the overall direction without manually drawing trend lines. When the background turns green, it generally indicates that the shorter-term moving average has crossed above the longer-term average—a sign of a bullish trend.
To Summarize shortly
The Enhanced Buy/Sell Pressure, Volume, and Trend Bar Analysis Indicator is an advanced but simple tool designed to help traders visually understand market dynamics. It combines different aspects of market analysis of candle pressure from buyers and sellers, volume confirmation, and trend identification into a single view, which can assist both new and experienced traders in making informed trading decisions.
This indicator:
Saves time by simplifying market analysis.
Provides clear visual cues for buy/sell pressure, volume, and trend.
Offers customizable settings to suit individual trading styles.
Always, I am happy to share my creations with you all for free. If you guys have cool ideas you would like to share, or suggestions for improvements the comment is below and I hope this overview gave an idea of how to use the indicator :D
Nifty36ScannerThis code is written for traders to be able to automatically scan 36 stocks of their choice for MACD , EMA200 + SuperTrend and Half Trend . Traders can be on any chart, and if they keep this scanner/indicator on , it will start displaying stocks meeting scanning criteria on the same window without having to go to Screener section and running it again and again. It will save time for traders and give them real time signals.
Indicators for scanning stocks are:
MACD
EMA200
Supertrend
HalfTrend - originally developed by EVERGET
Combination of EMA200 crossover/under and MACD crossover/under has worked well for me for long time, so using this combination as one of the criteria to
Scan the stocks. Using Everget's Half Trend method confirms the signal given by MACD , EMA200 and Supertrend Crossover.
I have added 36 of my favourite stocks from Nifty 50 lot. Users of this script can use the same stocks or change it by going into the settings of this scanner.
The Code is divided into 3 Sections
Section 1: Accepting input from users as boolean so that they can scan on the basis of one of the criteria or any combination of the criteria.
Section 2: "Screener function" to calculate Buy/ Sell on the basis of scanning criteria selected y the user.
screener=>
= ta.supertrend(2.5,10)
Buy/Sell on the basis of Supertrend crossing Close of the candle
//using ta.macd function to calculate MACD and Signal
= ta.macd(close, 12, 26, 9)
using HalfTrend indicator to calculate Buy/Sell signals , removed all the plotting functions from the code of Half Trend
Bringing Stock Symbols in S series variables
s1=input.symbol('NSE:NIFTY1!', title='Symbol1', group="Nifty50List", inline='0')
Assigning Bull/Bear ( Buy/Sell) signals to each stocks selected
=request.security(s1, tf, screener())
Assign BUY to all the stocks showing Buy signals using
buy_label1:= c1?buy_label1+str.tostring(s1)+'\n': buy_label1
Follow the same process for SELL Signals
Section 3: Plotting labels for the BUY/SELL result on the in terms of label for any stocks meeting the criteria with deletion of any previous signals to avoid clutter on the chart with so many signals generated in each candle
Display Buy siganaling stocks in teh form of label using Label.new function with parameters as follows:
barindex
close as series
color
textcolor
style as label_up,
yloc =price
textalign=left
Delete all the previous labels
label.delete(lab_buy )
STOCKS SELECTION
We have given range f 36 stocks from NIFTY 50 that can be selected at anytime,. User can chose their own 36 stocks using setting button.
INDICATORS SELECTION
1. MACD: It i sone of the most reliable trading strategy with 39.3% Success rate with 1.187 as profit factor for NIFTY Index on Daily time frame
2. EAM200 + Super trend : Combination of EMA200 crossover and Super trend removes any false positives and considered a very reliable way of scanning for Buy/Sell signals
3. HALF TREND: Originally developed as an indicator by Everget and modified as strategy by AlgoMojo, it generates Buy/Sell signals with 40.2% success rate with 1.469 as profit faction, on 15 minutes timeframe.
Market PulseBINANCE:BTCUSDT
This is the "Market Pulse" indicator from TOS Indicators.
The scope of this indicator is to identify which one of the four market stages we're in
█ WHAT ARE THE 4 STAGES?
ACCELERATION (or uptrend)
DECELERATION (or downtrend)
ACCUMULATION (occurs after the market has presumably found a bottom and buyers are coming in)
DISTRIBUTION (occurs after the market has presumably found a top and sellers are coming in)
█ WHAT ARE THE TOOLS THAT IT USES TO IDENTIFY THEM?
3 VWMA (Volume Weighted Moving Average)
1 VMA (Variable Moving Average)
VWMA = is a moving average which takes volume into account, and gives closes with higher volume an higher weight
vwma(src, len) => ta.sma(src * volume, len) / ta.sma(volume, len)
VMA = is a moving average which automatically adjusts the smoothing constant using Market Volatility
vma(src, len) =>
vi = ta.cmo(src, len) / 100
alpha = 2 / (len + 1) * math.abs(vi)
vma = 0.0
vma := alpha * src + nz(vma ) * (1 - alpha)
█ HOW CAN I INTERPRET THE INDICATOR?
1) On the top right you can see a box which tells you the Market Stage of the chart you are currently using:
If VWMA8 > VWMA21 > VWMA34 it signals ACCELERATION, color coded in green
If VWMA8 < VWMA21 < VWMA34 it signals DECELERATION, color coded in red
If neither of the previous two conditions are met it signals ACCUMULATION (yellow) if price closes above the VMA and DISTRIBUTION (orange) if price closes below the VMA
2) Next you have the actual VMA which is the line plotted on the chart and color coded in green, red or gray accordingly to the Market Stage with a filter applied:
for a bullish signal (green label) the market needs to be in ACCELERATION and price must be above the VMA
for a bearish signal (red label) the market needs to be in DECELERATION and price must be below the VMA
This characteristic makes it sometimes slower at giving direction indications, but also makes it more suitable to be considered as actual signals for buying and selling
ACCUMULATION and DISTRIBUTION are both rapresented with color gray, if you want you can consider:
the line going from green to gray as ACCUMULATION, your bias is bullish until the line turns red
the line going from red to gray as DISTRIBUTION, your bias is bearish until the line turns green
3) Then you can choose to plot the 3 VWMA to indentify pullbacks and entries for your trades
4) Finally you have the Market Screener, which you can choose to plot and gives a fast look to the markets you are interested on
It basically gives you the Market Stage for every Symbol you choose using the timeframes you input
The maximum number of Symbols you can set is 20, and for all of them you have 2 different timeframes you can choose to analyse.
By default the Symbols are set to the top 20 Cryptocurrency by Market Cap, and the timeframes to 4h and D
There is an option which is on by default and color codes ACCUMULATION and DISTRIBUTION the same as the box on the top right, you can turn it off to make them gray
As I've written in the tooltip inside the indicator you should only use the screener to analyse timeframes which are equal or higher than the one you are currently on your chart.
If you don't plan to use the screener you can delete every symbol from the input boxes to make the indicator update faster when changing timeframe or market.
Be aware that the screener is on BETA and may give repainting signals!
3 Important Value CompositesCalculated on February 17, 2024. USDT 378 items, BTC 282 items, BINANCE
This is a watchlist, along with the most accurate computed values that I could achieve. It may be beneficial for those who want to change values from the "120x ticker screener (composite tickers)" indicator, which is one of the excellent indicators to bypass the limitation of the request. security() function that limits to only 40 requests. I've thought about this before but couldn't succeed, but someone finally did it. :)
--> 120x ticker screener (composite tickers)
Thank you once again for this idea.
You must look for this and change it.
t1 = 'symbol', n1 = Multiply , r1 = Pricescale(decimal)
Example of grouping: Group 1
BINANCE:ETHUSDT , BINANCE:FDUSDUSDT , BINANCE:BTCUSDT
2, 4, 2
13, 10
█ Note
• Tickers: For your watchlist, arrange them from left to right, pairing them in groups of 3.
• Pricescale: This represents the decimal length, arrange them from left to right, pairing them in groups of 3.
• Multiply: This involves multiplying the first 2 items in each pair of watchlists. Arrange them from left to right, pairing them in groups of 2.
* If you group items incorrectly, it may lead to inaccurate results.
* Please be advised that if one of the values in the "Pricescale"(decimal) trio changes, there may be a need to adjust those values accordingly to ensure correct digit separation. Otherwise, within the group, the numbers might appear peculiar.
Open Interest Suite [Aggregated] - By LeviathanThis script is an all-in-one indicator that uses aggregated Open Interest data to plot OI candles, Open Interest Delta, OI x rVOL, and OI RSI. It also includes tools such as an OI Distribution profile, large OI increase/decrease coloring, a Stats Screener, and much more.
You can select and have the script plot the following:
- Open Interest in the form of OHLC candles
- Open Interest Delta in the form of a histogram
- Open Interest x Relative Volume in the form of a histogram
- Open Interest RSI in the form of a line
Additional features include:
- OI Distribution Profile (It shows the distribution of open interest in the visible range on y axis. This makes it easier to identify when Open Interest is relatively high or low and at which values most of the action took place)
- Stats screener (The screener includes the real-time net Open Interest value, Rekt Longs/Rekt Shorts based on large OI decreases and Aggressive Longs/Shorts based on large OI increases)
- Coloring (You can color OI Delta nodes, background and chart candles based on large OI increases/decreases)
- more
Instructions for the settings will be provided in the tooltips shortly.
Full credit goes to @KioseffTrading for the profile generation code.
Volatility CheckerWhenever we want to find out volatility of the current chart, we need to visit screener and check the latest percentage. Because of this frustration by visiting screener page, I made this script. And there is no script like this, so it's open and free to use.
This script is detect current percentage of volatility as indicator way. Screener show default 1D volatility. But this script is not only show 1D volatility. You can change the resolution whatever you like. And you can switch more resolution style. But I think, 1D resolution is better. This script is best for crypto investors. I've no idea about stock/forex, so hmmmmm.
Hline helps you to detect the position of the volatility. I always like to check those symbol which is less than 30. Because it's best for scalping. Less than 10 is best for swing traders.
Feel free to use. Any feedback? welcome to comment zone :)
Stochastic RSI Heat Bollinger BandsThis indicator is based on a combination of the famous Bollinger Bands and the Stochastic RSI indicator.
Bands are dynamically colored (and filled) with a RGB color composed by red and green values, directly generated from the average Stochastic RSI current value.
By default, colors represent the following status -> green zone is overgought & red zone is oversold.
A screener is also displayed on the chart, representing StochRSI K and D lines values, RSI value, as well as the current status (Overbought/Oversold) of the StochRSI and RSI indicators.
Notes:
The heat color and the screener status are both based on the average value between the K and D lines (for stochastic RSI based heat)
Bands can be disabled in options to use this indicator as a simple moving average colored by the Stochastic RSI heat color.
Options:
Various moving average types (SMA, EMA, SMMA, VWMA...)
Inversion of colors between overbought and oversold status
Enabling/disabling heat color on bands / basis line and bands background color
Show/Hide the screener
Color source can be modified to base the heat on the RSI instead of the Stochastic RSI value
Standards Bollinger bands, Stochastic and RSI parameters
Example
Feel free to suggest any improvements in comment.
Crypto trend HelperThis is a good tool for chart 2 hours and bellow
the screener script taken from //script taken from with his consent.
long and short determine by my script Trend M version 1
it set up to daily MTF so if it above the mean it green or buy,bellow it it sell
R1 and S1 by percentage from mean set to 7 % or 0.07
the channel is percentage channel set to 7 % up or low
the color of this channel set by
it function to see long trends
you can modify the alts inside the script or in menu\
thanks for Zekis for it help in the screener
[M2J] Indicator | Turtle Atom Duck Signal Turtle Atom Duck shows potential buy and sell
It consist of 3 indicators
Turtle - Donchian Channel
- bullish when price close above previous 1 bar high
- bearish when price close below previous 1 bar low
Atom - Bollinger Band
- bullish when price close above upper band
- bearish when price close below lower band
Duck - Moving Average (Default 50-period EMA)
- bullish when price close above moving average
- bearish when price close below moving average
When all 3 are bullish, buy signal appears
When all 3 are bearish, sell signal appears
Screener Turtle Atom Duck
Example:
FBMKLCI
Technology Sector
Health Sector
TOPGLOV
BINTAI
XOX
PRLEXUS
JCY
EURUSD
XAUUSD
Multi-indicator Signal Builder [Skyrexio]Overview
Multi-Indicator Signal Builder is a versatile, all-in-one script designed to streamline your trading workflow by combining multiple popular technical indicators under a single roof. It features a single-entry, single-exit logic, intrabar stop-loss/take-profit handling, an optional time filter, a visually accessible condition table, and a built-in statistics label. Traders can choose any combination of 12+ indicators (RSI, Ultimate Oscillator, Bollinger %B, Moving Averages, ADX, Stochastic, MACD, PSAR, MFI, CCI, Heikin Ashi, and a “TV Screener” placeholder) to form entry or exit conditions. This script aims to simplify strategy creation and analysis, making it a powerful toolkit for technical traders.
Indicators Overview
1. RSI (Relative Strength Index)
Measures recent price changes to evaluate overbought or oversold conditions on a 0–100 scale.
2. Ultimate Oscillator (UO)
Uses weighted averages of three different timeframes, aiming to confirm price momentum while avoiding false divergences.
3. Bollinger %B
Expresses price relative to Bollinger Bands, indicating whether price is near the upper band (overbought) or lower band (oversold).
4. Moving Average (MA)
Smooths price data over a specified period. The script supports both SMA and EMA to help identify trend direction and potential crossovers.
5. ADX (Average Directional Index)
Gauges the strength of a trend (0–100). Higher ADX signals stronger momentum, while lower ADX indicates a weaker trend.
6. Stochastic
Compares a closing price to a price range over a given period to identify momentum shifts and potential reversals.
7. MACD (Moving Average Convergence/Divergence)
Tracks the difference between two EMAs plus a signal line, commonly used to spot momentum flips through crossovers.
8. PSAR (Parabolic SAR)
Plots a trailing stop-and-reverse dot that moves with the trend. Often used to signal potential reversals when price crosses PSAR.
9. MFI (Money Flow Index)
Similar to RSI but incorporates volume data. A reading above 80 can suggest overbought conditions, while below 20 may indicate oversold.
10. CCI (Commodity Channel Index)
Identifies cyclical trends or overbought/oversold levels by comparing current price to an average price over a set timeframe.
11. Heikin Ashi
A type of candlestick charting that filters out market noise. The script uses a streak-based approach (multiple consecutive bullish or bearish bars) to gauge mini-trends.
12. TV Screener
A placeholder condition designed to integrate external buy/sell logic (like a TradingView “Buy” or “Sell” rating). Users can override or reference external signals if desired.
Unique Features
1. Multi-Indicator Entry and Exit
You can selectively enable any subset of 12+ classic indicators, each with customizable parameters and conditions. A position opens only if all enabled entry conditions are met, and it closes only when all enabled exit conditions are satisfied, helping reduce false triggers.
2. Single-Entry / Single-Exit with Intrabar SL/TP
The script supports a single position at a time. Once a position is open, it monitors intrabar to see if the price hits your stop-loss or take-profit levels before the bar closes, making results more realistic for fast-moving markets.
3. Time Window Filter
Users may specify a start/end date range during which trades are allowed, making it convenient to focus on specific market cycles for backtesting or live trading.
4. Condition Table and Statistics
A table at the bottom of the chart lists all active entry/exit indicators. Upon each closed trade, an integrated statistics label displays net profit, total trades, win/loss count, average and median PnL, etc.
5. Seamless Alerts and Automation
Configure alerts in TradingView using “Any alert() function call.”
The script sends JSON alert messages you can route to your own webhook.
The indicator can be integrated with Skyrexio alert bots to automate execution on major cryptocurrency exchanges
6. Optional MA/PSAR Plots
For added visual clarity, optionally plot the chosen moving averages or PSAR on the chart to confirm signals without stacking multiple indicators.
Methodology
1. Multi-Indicator Entry Logic
When multiple entry indicators are enabled (e.g., RSI + Stochastic + MACD), the script requires all signals to align before generating an entry. Each indicator can be set for crossovers, crossunders, thresholds (above/below), etc. This “AND” logic aims to filter out low-confidence triggers.
2. Single-Entry Intrabar SL/TP
One Position At a Time: Once an entry signal triggers, a trade opens at the bar’s close.
Intrabar Checks: Stop-loss and take-profit levels (if enabled) are monitored on every tick. If either is reached, the position closes immediately, without waiting for the bar to end.
3. Exit Logic
All Conditions Must Agree: If the trade is still open (SL/TP not triggered), then all enabled exit indicators must confirm a closure before the script exits on the bar’s close.
4. Time Filter
Optional Trading Window: You can activate a date/time range to constrain entries and exits strictly to that interval.
Justification of Methodology
Indicator Confluence: Combining multiple tools (RSI, MACD, etc.) can reduce noise and false signals.
Intrabar SL/TP: Capturing real-time spikes or dips provides a more precise reflection of typical live trading scenarios.
Single-Entry Model: Straightforward for both manual and automated tracking (especially important in bridging to bots).
Custom Date Range: Helps refine backtesting for specific market conditions or to avoid known irregular data periods.
How to Use
1. Add the Script to Your Chart
In TradingView, open Indicators , search for “Multi-indicator Signal Builder”.
Click to add it to your chart.
2. Configure Inputs
Time Filter: Set a start and end date for trades.
Alerts Messages: Input any JSON or text payload needed by your external service or bot.
Entry Conditions: Enable and configure any indicators (e.g., RSI, MACD) for a confluence-based entry.
Close Conditions: Enable exit indicators, along with optional SL (negative %) and TP (positive %) levels.
3. Set Up Alerts
In TradingView, select “Create Alert” → Condition = “Any alert() function call” → choose this script.
Entry Alert: Triggers on the script’s entry signal.
Close Alert: Triggers on the script’s close signal (or if SL/TP is hit).
Skyrexio Alert Bots: You can route these alerts via webhook to Skyrexio alert bots to automate order execution on major crypto exchanges (or any other supported broker).
4. Visual Reference
A condition table at the bottom summarizes active signals.
Statistics Label updates automatically as trades are closed, showing PnL stats and distribution metrics.
Backtesting Guidelines
Symbol/Timeframe: Works on multiple assets and timeframes; always do thorough testing.
Realistic Costs: Adjust commissions and potential slippage to match typical exchange conditions.
Risk Management: If using the built-in stop-loss/take-profit, set percentages that reflect your personal risk tolerance.
Longer Test Horizons: Verify performance across diverse market cycles to gauge reliability.
Example of statistic calculation
Test Period: 2023-01-01 to 2025-12-31
Initial Capital: $1,000
Commission: 0.1%, Slippage ~5 ticks
Trade Count: 468 (varies by strategy conditions)
Win rate: 76% (varies by strategy conditions)
Net Profit: +96.17% (varies by strategy conditions)
Disclaimer
This indicator is provided strictly for informational and educational purposes .
It does not constitute financial or trading advice.
Past performance never guarantees future results.
Always test thoroughly in demo environments before using real capital.
Enjoy exploring the Multi-Indicator Signal Builder! Experiment with different indicator combinations and adjust parameters to align with your trading preferences, whether you trade manually or link your alerts to external automation services. Happy trading and stay safe!
Momentum TrackerTo screen for momentum movers, one can filter for stocks that have made a noticeable move over a set period—this initial move defines the momentum or swing move. From this list of candidates, we can create a watchlist by selecting those showing a momentum pause, such as a pullback or consolidation, which later could set up for a continuation.
This Momentum Tracker Indicator serves as a study tool to visualize when stocks historically met these momentum conditions. It marks on the chart where a stock would have appeared on the screener, allowing us to review past momentum patterns and screener requirements.
Indicator Calculation
Bullish Momentum: Price is above the lowest point within the lookback period by the specified threshold percentage.
Bearish Momentum: Price is below the highest point within the lookback period by the specified threshold percentage.
The tool is customizable in terms of lookback period and percentage threshold to accommodate different trading styles and timeframes, allowing us to set criteria that align with specific hold times and momentum requirements.
TDMACD Divergence Multi Timeframe and Alert [5ema]I reused some functions, made by (i believe that):
@paaax: The table position function.
@everget: The RSI divergence function.
@QuantNomad: The function calculated value and array to show on table for input symbols.
@ChaosTrader: The function calculated value TDMACD.
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What to do?
MACD divergence signal.
The crossing of MACD and Signal line.
The reversal of MACD.
The reversal of Signal line.
The screener follow 6 different timeframes.
Set notification alert when signal appears.
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How is it created?
MACD line = fastMA - slowMA.
Signal line = ta.ema(macd(), signalLength)
Make function for pivot low & high point of MACD and price.
Request.security that function for earch time frame.
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How to use?
Can be combined with many other indicators or candlestick patterns.
Customize the input indicators to suit your strategy
1. MACD reversed:
2. Signal line reversed:
3. MACD Divergence :
4. MACD crossing Signal line:
5. Signal on Screener for multi time frame:
Green ⦿: Buy.
Red ⦿: Sell.
Green 〇: Review Buy.
Red 〇: Review Sell.
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This indicator is for reference only, you need your own method and strategy.
If you have any questions, please let me know in the comments.
