Enhanced Pressure MTF ScreenerEnhanced Pressure Multi-Timeframe (MTF) Screener Indicator
Overview
The Enhanced Pressure MTF Screener is an add-on that extends the capabilities of the Enhanced Buy/Sell Pressure, Volume, and Trend Bar Analysis . It provides a clear and consolidated view of buy/sell pressure across multiple timeframes. This indicator allows traders to determine when different timeframes are synchronized in the same trend direction, which is particularly useful for making high-confidence trading decisions.
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.Multi-Timeframe Analysis
The indicator screens various predefined timeframes (from 1 week down to 10 minutes).
It offers a table view that shows buy or sell ratings for each timeframe, making it easy to see which timeframes are aligned.
Traders can choose which timeframes to include based on their trading strategies (e.g., higher timeframes for position trading, lower timeframes for scalping).
2.Pressure and Trend Calculation
Uses Buy and Sell Pressure calculations from the Enhanced Buy/Sell Pressure indicator to determine whether buying or selling is dominant in each timeframe.
By analyzing pressures on multiple timeframes, the indicator gives a comprehensive perspective of the current market sentiment.
The indicator calculates whether a move is strong based on user-defined thresholds, which are displayed in the form of additional signals.
3.Heikin Ashi Option
The Heikin Ashi candle type can be toggled on or off. Using Heikin Ashi helps smooth out market noise and provides a clearer indication of trend direction.
This is particularly helpful for traders who want to filter out market noise and focus on the primary trend.
4.Table Customization
Table Positioning: The table showing timeframe data can be positioned at different locations on the chart—top, middle, or bottom.
Text and Alignment: The alignment and text size of the table can be customized for better visual clarity.
Color Settings: Users can choose specific colors to indicate buying and selling pressure across timeframes, making it easy to interpret.
5.Strong Movement Indicators
The screener provides an additional visual cue (🔥) for timeframes where the movement is deemed strong, based on a user-defined threshold.
This helps highlight timeframes where significant buying or selling pressure is present, which could signal potential trading opportunities.
How the Screener Works
1.Pressure Calculation
For each selected timeframe, the indicator retrieves the Open, High, Low, and Close (OHLC) values.
It calculates buy pressure (the range between high and low when the closing price is higher than the opening) and sell pressure (the range between high and low when the closing price is equal to or lower than the opening).
The screener computes the pressure ratio, which represents the difference between buying and selling pressure, to determine which side is dominant.
2.Trend Rating and Signal Generation
Based on the calculated pressure, the screener determines a trend rating for each timeframe: "Buy," "Sell," or "Neutral." (▲ ,▼ or •)
Additionally, it generates a signal (▲ or ▼) to indicate the current trend direction and whether the move is strong (based on the user-defined threshold).
If the movement is strong, a fire icon (🔥) is added to indicate that there is significant pressure on that timeframe, signaling a higher confidence in the trend.
3.Customizable Strong Move Thresholds
Strong Move Threshold: The screener uses this value to decide whether a trend is significantly strong. A higher value makes it more selective in determining strong moves.
Strong Movement Threshold: Helps determine when an additional strong signal should be displayed, offering further insight into the strength of market movement.
Inputs and Customization
The Enhanced Pressure MTF Screener is highly customizable to fit the needs of individual traders:
General Settings:
Use Heikin Ashi: Toggle this setting to use Heikin Ashi for a smoother trend representation.
Strong Move Threshold: Defines how strong a move should be to be considered significant.
Strong Movement Threshold: Specifies the level of pressure required to highlight a move with the fire icon.
Table Settings:
Position: Choose the vertical position of the screener table (top, middle, or bottom of the chart).
Alignment: Align the table (left, center, or right) to best suit your chart layout.
Text Size: Adjust the text size in the table for better readability.
Table Color Settings:
Users can set different colors to represent buying and selling signals for better visual clarity, particularly when scanning multiple timeframes.
Timeframe Settings:
The screener provides options to include up to ten different timeframes. Traders can select and customize each timeframe to match their strategy.
Examples of available timeframes include 1 Week, 1 Day, 12 Hours, down to 10 Minutes, allowing for both broad and detailed analysis.
Practical Use Case
Identifying Trend Alignment Across Timeframes:
Imagine you are about to take a long trade but want to make sure that the trend direction is aligned across multiple timeframes.
The screener displays "Buy" ratings across the 4H, 1H, 30M, and 10M timeframes, while higher timeframes (like 1W and 1D) also show "Buy" with strong signals (🔥). This indicates that buying pressure is strong across the board, adding confidence to your trade.
Spotting Reversal Opportunities:
If a downtrend is evident across most timeframes but suddenly a higher timeframe, such as 12H, changes to "Buy" while showing a strong move (🔥), this could indicate a potential reversal.
The screener allows you to spot these discrepancies and consider taking early action.
Benefits for Traders
1.Synchronization Across Timeframes:
One of the main strengths of this screener is its ability to show synchronized buy/sell signals across different timeframes. This makes it easy to confirm the strength and consistency of a trend.
For example, if you see that all the selected timeframes display "Buy," this implies that both short-term and long-term traders are favoring the upside, giving additional confidence to go long.
2.Quick and Visual Trend Overview:
The table offers an at-a-glance summary, reducing the time required to manually inspect each timeframe.
This makes it particularly useful for traders who want to make quick decisions, such as day traders or scalpers.
3.Strong Move Indicator:
The use of fire icons (🔥) provides an easy way to identify significant movements. This is particularly helpful for traders looking for breakouts or strong market conditions that could lead to high probability trades.
To put it short or to summarize
The Enhanced Pressure MTF Screener is a powerful add-on for traders looking to understand how buy and sell pressure aligns across multiple timeframes. It offers:
A clear summary of buying or selling pressure across different timeframes.
Heikin Ashi smoothing, providing an option to reduce market noise.
Strong movement signals to highlight significant trading opportunities.
Customizable settings to fit any trading strategy or style.
The screener and the main indicator are best used together, as the screener provides the multi-timeframe overview, while the main indicator provides an in-depth look at each individual bar and trend.
I hope my indicator helps with your trading, if you guys have any ideas or questions there is the comment section :D
Screener
Divergence for Many Indicators v4 Screener▋ INTRODUCTION:
The “Divergence for Many Indicators v4 Screener” is developed to provide an advanced monitoring solution for up to 24 symbols simultaneously. It efficiently collects signals from multiple symbols based on the “ Divergence for Many Indicators v4 ” and presents the output in an organized table. The table includes essential details starting with the symbol name, signal price, corresponding divergence indicator, and signal time.
_______________________
▋ CREDIT:
The divergence formula adapted from the “ Divergence for Many Indicators v4 ” script, originally created by @LonesomeTheBlue . Full credit to his work.
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▋ OVERVIEW:
The chart image can be considered an example of a recorded divergence signal that occurred in $BTCUSDT.
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▋ APPEARANCE:
The table can be displayed in three formats:
1. Full indicator name.
2. First letter of the indicator name.
3. Total number of divergences.
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▋ SIGNAL CONFIRMATION:
The table distinguishes signal confirmation by using three different colors:
1. Not-Confirmed (Orange): The signal is not confirmed yet, as the bar is still open.
2. Freshly Confirmed (Green): The signal was confirmed 1 or 2 bars ago.
3. Confirmed (Gray): The signal was confirmed 3 or more bars ago.
_______________________
▋ INDICATOR SETTINGS:
Section(1): Table Settings
(1) Table location on the chart.
(2) Table’s cells size.
(3) Chart’s timezone.
(4) Sorting table.
- Signal: Sorts the table by the latest signals.
- None: Sorts the table based on the input order.
(5) Table’s colors.
(6) Signal Confirmation type color. Explained above in the SIGNAL CONFIRMATION section
Section(2): Divergence for Many Indicators v4 Settings
As seen on the Divergence for Many Indicators v4
* Explained above in the APPEARANCE section
Section(3): Symbols
(1) Enable/disable symbol in the screener.
(2) Entering a symbol.
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▋ FINAL COMMENTS:
For best performance, add the Screener indicator to an active symbol chart, such as QQQ, SPY, AAPL, BTCUSDT, ES, EURUSD, etc., and avoid mixing symbols from different market allocations.
The Divergence for Many Indicators v4 Screener indicator is not a primary tool for making trading decisions.
Multi Asset Histogram [ChartPrime]Multi Asset Histogram Indicator
Overview:
The "Multi Asset Histogram" indicator provides a comprehensive visualization of the performance of multiple assets relative to each other. By calculating a score for each asset and displaying it in a histogram format, this indicator helps traders quickly identify the trends, dominant asset and the average performance of the assets in the selected group.
Key Features:
◆ Multi-Asset Score Calculation:
The indicator calculates a trend score for each selected asset based on the price source (e.g., hl2).
The trend score is determined by comparing the current price to the prices over the past bars back defined by user, adding or subtracting points based on whether the current price is higher or lower than previous prices.
// Score Function
trscore(src) =>
total = 0.0
for i = 1 to 50
total += (src >= nz(src ) ? 1 : -1)
total
◆ Flexible Symbol Input:
Traders can input up to 10 different symbols (e.g., BTCUSD, ETHUSD, etc.) to be included in the histogram analysis.
◆ Dynamic Visualization:
A histogram is plotted for each asset, with bars colored based on the score, providing a clear visual representation of the relative performance.
Color gradients from red to aqua indicate the performance, with red representing negative scores and aqua representing positive scores.
◆ Adaptive Histogram Lines:
The width and placement of histogram lines adapt based on the calculated scores, ensuring clear visualization regardless of the values.
Dashed lines represent the mean score of all assets, helping traders identify the overall market trend.
◆Detailed Labels and Values:
Labels are placed on the histogram to display the exact score for each asset.
Mean value and zero line labels provide additional context for the overall performance.
◆ Visual Scaling Lines:
Zero line and mean line are clearly marked, helping traders understand the distribution and scale of scores.
Scales on the left and right of the histogram indicate the performance range.
◆ Informative Table:
A table is displayed on the chart, showing the dominant asset (the one with the highest score) and the mean score of all assets.
The table updates dynamically to reflect real-time changes in asset performance.
◆ Settings:
Length: The value of number bars back is greater or less than the current value of the source
Source: The price source to be used for score calculation (e.g., hl2).
Symbols: Up to 10 different asset symbols can be input for analysis.
Usage Notes:
This indicator is useful for traders who monitor multiple assets simultaneously and need a quick visual reference to identify the strongest and weakest performers.
The color coding and dynamic labels make it easy to interpret the relative performance and make informed trading decisions.
This indicator is designed to enhance multi-asset analysis by providing a clear, visual representation of each asset's performance relative to the others, making it easier to identify trends and dominant assets in the market.
Multiple Instrument Automation ScreenerI have developed a Pine Script indicator on TradingView designed to demonstrate how to automate execution for ten instruments. This example utilizes a straightforward, Simple Moving Average (SMA) indicator. You can use it as a template, but use your indicator.
The indicator computes long/short signals based on the crossing of the SMA using the security function
It acts as a screener, presenting calculation results in an organized table format.
Utilizing the varip variable, the indicator sends alerts for multiple instruments sequentially rather than simultaneously.
For every generated signal, the indicator builds and sends a JSON execution command to a third-party tool, ensuring seamless integration and automation. You can use your own format.
Sent alerts look like this:
{"ticker": "DOGEBTC","action": "buy","price": "0.00000199","time": "1719754620658"}
Details and Limitations
Instrument Limit: The example is configured for ten instruments for simplicity. However, it can be expanded to handle up to 40 instruments.
Alert Rate Limit: There is a rate limit of 15 alerts in 3 minutes. Exceeding this limit may cause some alerts to be stopped. This can be managed by tracking the alert times and delaying some alerts, though this may affect the entry prices.
Timing of Signal Generation : The indicator processes signals at the bar close to the active instrument. Due to its computational complexity, there is a slight delay in collecting all records, potentially causing signals to reflect a few seconds before the bar closes. Care should be taken when executing based on these signals.
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.
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
RSI Screener / Heatmap - By LeviathanThis script allows you to quickly scan the market by displaying the RSI values of up to 280 tickers at once and visualizing them in an easy-to-understand format using labels with heatmap coloring.
📊 Source
The script can display the RSI from a custom timeframe (MTF) and custom length for the following data:
- Price
- OBV (On Balance Volume)
- Open Interest (for crypto tickers)
📋 Ticker Selection
This script uses a different approach for selecting tickers. Instead of inputting them one by one via input.symbol(), you can now copy-paste or edit a list of tickers in the text area window. This approach allows users to easily exchange ticker lists between each other and, for example, create multiple lists of tickers by sector, market cap, etc., and easily input them into the script. Full credit to @allanster for his functions for extracting tickers from the text. Users can switch between 7 groups of 40 tickers each, totaling 280 tickers.
🖥️ Display Types
- Screener with Labels: Each ticker has its own color-coded label located at its RSI value.
- Group Average RSI: A standard RSI plot that displays the average RSI of all tickers in the group.
- RSI Heatmap (coming soon): Color-coded rows displaying current and historical values of tickers.
- RSI Divergence Heatmap (coming soon): Color-coded rows displaying current and historical regular/hidden bullish/bearish divergences for tickers.
🎨 Appearance
Appearance is fully customizable via user inputs, allowing you to change heatmap/gradient colors, zone coloring, and more.
Market Structures Screener | Flux Charts💎 GENERAL OVERVIEW
Introducing our new Market Structures Screener! This screener can provide information about the latest market structures in up to 5 tickers. You can also customize the styling of the screener.
Features of the new Market Structures Screener :
Find Latest Market Structures Across 5 Tickers
Break Of Structure (BOS)
Change of Character (CHoCH)
Change of Character+ (CHoCH+)
Customizable Algoritm / Styling
📌 HOW DOES IT WORK ?
Sometimes specific market structures form and break as the market fills buy & sell orders. Formed Change of Character (CHoCH) and Break of Structure (BOS) often mean that market will change direction, and they can be spotted by inspecting low & high pivot points of the chart.
This screener then finds market structures across 5 different tickers, and shows the latest information about them.
🚩UNIQUENESS
Formed market structures can be strong hints about the current direction and the state of the market, and our screener has the ability to detect Change Of Character structures of the market with higher sensitivity (CHoCH+), so you will miss less hints. This screener will then show the elapsed time of the found BOS, CHoCH and CHoCH+ structures.
⚙️SETTINGS
1. Tickers
You can set up to 5 tickers for the screener to scan market structures here. You can also enable / disable them and set their individual timeframes.
Liquidity Grab Screener | Flux Charts💎 GENERAL OVERVIEW
Introducing our new Liquidity Grab Screener! This screener can provide information about the latest liquidity grabs in up to 5 tickers. You can also customize the algorithm that finds the liquidity grabs and the styling of the screener.
Features of the new Liquidity Grab Screener :
Find Latest Liquidity Grabs Accross 5 Tickers
Price, Size, Status Information
Customizable Algoritm / Styling
📌 HOW DOES IT WORK ?
Liquidity grabs occur when one of the latest pivots has a false breakout. Then, if the wick to body ratio of the bar is higher than 0.5 (can be changed from the settings) a bubble is plotted.
The bubble size is determined by the wick to body ratio of the candle.
This screener then finds liquidity grabs accross 5 different tickers, and shows the latest information about them.
Price -> The price when the liquidity grab happened.
Size -> Size of the liquidity grab, determined by the wick-body ratio.
Status -> Shows the elapsed time of the liquidity grab.
🚩UNIQUENESS
Liquidity grabs can be useful when determining candles that have executed a lot of market orders, and planning your trades accordingly. This screener will find liquidity grabs from up to 5 tickers and give information about their price, size and status. The screener also lets you customize the pivot length and the wick-body ratio for liquidity grabs.
⚙️SETTINGS
1. Tickers
You can set up to 5 tickers for the screener to scan order blocks here. You can also enable / disable them and set their individual timeframes.
2. General Configuration
Pivot Length -> This setting determines the range of the pivots. This means a candle has to have the highest / lowest wick of the previous X bars and the next X bars to become a high / low pivot.
Wick-Body Ratio -> After a pivot has a false breakout, the wick-body ratio of the latest candle is tested. The resulting ratio must be higher than this setting for it to be considered as a liquidity grab.
Fair Value Gap Screener | Flux Charts💎 GENERAL OVERVIEW
Introducing our new Fair Value Gap Screener! This screener can provide information about the latest Fair Value Gaps in up to 5 tickers. You can also customize the algorithm that finds the Fair Value Gaps and the styling of the screener.
Features of the new Fair Value Gap (FVG) Screener :
Find Latest Fair Value Gaps Accross 5 Tickers
Shows Their Information Of :
Latest Status
Number Of Retests
Consumption Percent
Bullish & Bearish Volume
Customizable Algoritm / Styling
📌 HOW DOES IT WORK ?
A Fair Value Gap generally occur when there is an imbalance in the market. They can be detected by specific formations within the chart. This screener then finds Fair Value Gaps accross 5 different tickers, and shows the latest information about them.
Status ->
Far -> The current price is far away from the FVG.
Approaching ⬆️/⬇️ -> The current price is approaching the FVG, and the direction it's approaching from.
Inside -> The price is currently inside the FVG.
Retests -> Retest means the price tried to invalidate the FVG, but failed to do so. Here you can see how many times the price retested the FVG.
Consumed -> FVGs get consumed when a Close / Wick enters the FVG zone. For example, if the price hits the middle of the FVG zone, the zone is considered 50% consumed.
Bullish / Bearish Volume -> Bullish & Bearish volume of a FVG is calculated by analyzing the bars that formed it. For example in a bullish FVG, the bullish volume is the total volume of the first 2 bars forming the FVG, and the bearish volume is the volume of the 3rd bar that forms it.
🚩UNIQUENESS
This screener can detect latest Fair Value Gaps and give information about them for up to 5 tickers. This saves the user time by showing them all in a dashboard at the same time. The screener also uniquely shows information about the number of retests and the consumed percent of the FVG, as well as it's bullish & bearish volume. We believe that this extra information will help you spot reliable FVGs easier.
⚙️SETTINGS
1. Tickers
You can set up to 5 tickers for the screener to scan Fair Value Gaps here. You can also enable / disable them and set their individual timeframes.
2. General Configuration
Zone Invalidation -> Select between Wick & Close price for FVG Zone Invalidation.
Zone Filtering -> With "Average Range" selected, algorithm will find FVG zones in comparison with average range of last bars in the chart. With the "Volume Threshold" option, you may select a Volume Threshold % to spot FVGs with a larger total volume than average.
FVG Detection -> With the "Same Type" option, all 3 bars that formed the FVG should be the same type. (Bullish / Bearish). If the "All" option is selected, bar types may vary between Bullish / Bearish.
Detection Sensitivity -> You may select between Low, Normal or High FVG detection sensitivity. This will essentially determine the size of the spotted FVGs, with lower sensitivies resulting in spotting bigger FVGs, and higher sensitivies resulting in spotting all sizes of FVGs.
Order Blocks Screener | Flux Charts💎 GENERAL OVERVIEW
Introducing our new Order Blocks Screener! This screener can provide information about the latest order blocks in up to 5 tickers. You can also customize the algorithm that finds the order blocks and the styling of the screener.
Features of the new Order Blocks Screener :
Find Latest Order Blocks Accross 5 Tickers
Latest Status, Restests, Bullish & Bearish Volume
Customizable Algoritm / Styling
📌 HOW DOES IT WORK ?
Order blocks occur when there is a high amount of market orders exist on a price range. It is possible to find order blocks using specific formations on the chart.
The high & low volume of order blocks should be taken into consideration while determining their strengths. The determination of the high & low volume of order blocks are similar to FVGs, in a bullish order block, the high volume is the last 2 bars' total volume, while the low volume is the oldest bar's volume. In a bearish order block scenerio, the low volume becomes the last 2 bars' total volume.
This screener then finds order blocks accross 5 different tickers, and shows the latest information about them.
Status ->
Far -> The current price is far away from the order block.
Approaching ⬆️/⬇️ -> The current price is approaching the order block, and the direction it's approaching from.
Inside -> The price is currently inside the order block.
Retests -> Retest means the price to invalidate the order block, but failed to do so. Here you can see how many times the price retested the order block.
For the bullish / bearish volume, check the "How Does It Work" section.
🚩UNIQUENESS
This screener can detect latest order blocks and give information about them for up to 5 tickers. This saves the user time by showing them all in a dashboard at the same time. The screener shows the number of the retests of the order block as an unique trait. Another unique ability of the screener is that it shows the latest valid order block's bullish and bearish volume in the dashboard.
⚙️SETTINGS
1. Tickers
You can set up to 5 tickers for the screener to scan order blocks here. You can also enable / disable them and set their individual timeframes.
2. General Configuration
Zone Invalidation -> Select between Wick & Close price for Order Block Invalidation.
Swing Length -> Swing length is used when finding order block formations. Smaller values will result in finding smaller order blocks.
RSI over screener (any tickers)█ OVERVIEW
This screener allow you to watch up to 240 any tickers you need to check RSI overbought and oversold using multiple periods, including the percentage of RSIs of different periods being overbought/oversold, as well as the average between these multiple RSIs.
█ THANKS
LuxAlgo for his RSI over multi length
I made function for this RSI and screener based on it.
allanster for his amazing idea how to split multiple symbols at once using a CSV list of ticker IDs
█ HOW TO USE
- hide chart:
- add 6 copies of screener
- change list number at settings from 1 to 6
- add you tickers
Screener shows signals when RSI was overbought or oversold and become to 0, this signal you may use to enter position(check other market condition before enter).
At settings you cam change Prefics, Appendix and put you tickers.
limitations are:
- max 40 tickers for one list
- max 4096 characters for one list
- tickers list should be separated by comma and may contains one space after the comma
By default it shows almost all BINANCE USD-M USDT tickers
Also you can adjust table for your screen by changing width of columns at settings.
If you have any questions or suggestions write comment or message.
Table SessionIt's a part of a script taken from the lux_Algo indicator and optimized with the BTCUSDT symbol to display the real status of sessions since the crypto market is always open.
Key Features:
Customizable Sessions: Choose from major global financial centers, including New York, London, Tokyo, and Sydney. Customize the parameters for each session according to your preferences.
Intuitive Dashboard: The interactive dashboard displays real-time active and inactive sessions, providing you with an instant overview of the market status.
Automatic Timezone Support: Avoid timezone confusion with automatic exchange timezone support.
Customizable Aesthetics: Tailor the appearance of the table to your style with customization options, whether it's vibrant colors or text sizes.
Easy to Use: No technical expertise required. Simply enable the sessions you want to display and let the script handle the rest.
Why Choose "Table Session":
Time-Saving: Eliminate the time-consuming manual search for trading sessions. Our script does it for you, freeing up your attention for more critical decisions.
Unmatched Decision-Making: Instantly identify prime trading opportunities by understanding which sessions are active and when.
Total Flexibility: Customize the script to your trading style and preferred markets for a tailored trading experience.
Overbought / Oversold Screener## Introduction
**The Versatile RSI and Stochastic Multi-Symbol Screener**
**Unlock a wealth of trading opportunities with this customizable screener, designed to pinpoint potential overbought and oversold conditions across 17 symbols, with alert support!**
## Description
This screener is suitable for tracking multiple instruments continuously.
With the screener, you can see the instant RSI or Stochastic values of the instruments you are tracking, and easily catch the moments when they are overbought / oversold according to your settings.
The purpose of the screener is to facilitate the continuous tracking of multiple instruments. The user can track up to 17 different instruments in different time intervals. If they wish, they can set an alarm and learn overbought oversold according to the values they set for the time interval of the instruments they are tracking.**
Key Features:
Comprehensive Analysis:
Monitors RSI and Stochastic values for 17 symbols simultaneously.
Automatically includes the current chart's symbol for seamless integration.
Supports multiple timeframes to uncover trends across different time horizons.
Personalized Insights:
Adjust overbought and oversold thresholds to align with your trading strategy.
Sort results by symbol, RSI, or Stochastic values to prioritize your analysis.
Choose between Automatic, Dark, or Light mode for optimal viewing comfort.
Dynamic Visual Cues:
Instantly highlights oversold and overbought symbols based on threshold levels.
Timely Alerts:
Stay informed of potential trading opportunities with alerts for multiple oversold or overbought symbols.
## Settings
### Display
**Timeframe**
The screener displays the values according to the selected timeframe. The default timeframe is "Chart". For example, if the timeframe is set to "15m" here, the screener will show the RSI and stochastic values for the 15-minute chart.
** Theme **
This setting is for changing the theme of the screener. You can set the theme to "Automatic", "Dark", or "Light", with "Automatic" being the default value. When the "Automatic" theme is selected, the screener appearance will also be automatically updated when you enable or disable dark mode from the TradingView settings.
** Position **
This option is for setting the position of the table on the chart. The default setting is "middle right". The available options are (top, middle, bottom)-(left, center, right).
** Sort By **
This option is for changing the sorting order of the table. The default setting is "RSI Descending". The available options are (Symbol, RSI, Stoch)-(Ascending, Descending).
It is important to note that the overbought and oversold coloring of the symbols may also change when the sorting order is changed. If RSI is selected as the sorting order, the symbols will be colored according to the overbought and oversold threshold values specified for RSI. Similarly, if Stoch is selected as the sorting order, the symbols will be colored according to the overbought and oversold threshold values specified for Stoch.
From this perspective, you can also think of the sorting order as a change in the main indicator.
### RSI / Stochastic
This area is for selecting the parameters of the RSI and stochastic indicators. You can adjust the values for "length", "overbought", and "oversold" for both indicators according to your needs. The screener will perform all RSI and stochastic calculations according to these settings. All coloring in the table will also be according to the overbought and oversold values in these settings.
### Symbols
The symbols to be tracked in the table are selected from here. Up to 16 symbols can be selected from here. Since the symbol in the chart is automatically added to the table, there will always be at least 1 symbol in the table. Note that the symbol in the chart is shown in the table with "(C)". For example, if SPX is open in the chart, it is shown as SPX(C) in the table.
## Alerts
The screener is capable of notifying you with an alarm if multiple symbols are overbought or oversold according to the values you specify along with the desired timeframe. This way, you can instantly learn if multiple symbols are overbought or oversold with one alarm, saving you time.
RSI Heatmap Screener [ChartPrime]The RSI Heatmap Screener is a versatile trading indicator designed to provide traders and investors with a deep understanding of their selected assets' market dynamics. It offers several key features to facilitate informed decision-making:
█ Custom Asset Selection:
The user can choose up to 30 assets that you want to analyze, allowing for a tailored experience.
█ Adjustable RSI Length:
Customize your analysis by adjusting the RSI length to align with your trading strategy.
█ RSI Heatmap:
The heatmap feature uses various colors to represent RSI values:
█ Color coding for labels:
Grey: Signifies a neutral RSI, indicating a balanced market.
Yellow: Suggests overbought conditions, advising caution.
Pale Red: Indicates mild overbought conditions in a strong area.
Bright Red: Represents strong overbought conditions, hinting at a potential downturn.
Pale Green: Signals mild oversold conditions with signs of recovery.
Dark Green: Denotes full oversold conditions, with potential for a bounce.
Purple: Highlights extremely oversold conditions, pointing to an opportunity for a relief bounce.
█ Levels:
Central Plot and Zones: The central plot displays the average RSI of the selected assets, offering an overview of market sentiment. Overbought and oversold zones in red and green provide clear reference points.
█ Hover Labels:
Hover over an asset to access details on various indicators like VWAP, Stochastic, SMA, TradingView ranking, and Volume Rating. Bullish and bearish indicators are marked with ticks and crosses, and a fire emoji denotes heavily overextended assets.
█ TradingView Ranking:
Utilize the TradingView ranking metric to assess an asset's performance and popularity.
Thank you to @tradingview for this ranking metric.
█ Volume Rating:
Gain insights into trading volumes for more informed decision-making.
█ Oscillator at the Bottom:
The RSI average for the entire market, presented in a normalized format, offers a broader market perspective. Green indicates a favorable buying area, while red suggests market overextension and potential short or sell opportunities.
█ Heatmap Visualization:
Historical RSI values for each selected asset are displayed. Red indicates overbought conditions, while green signals oversold conditions, helping you spot trends and potential turning points.
This screener is designed to make entering the market simpler and more comprehensive for all traders and investors.
Volume and Price Z-Score [Multi-Asset] - By LeviathanThis script offers in-depth Z-Score analytics on price and volume for 200 symbols. Utilizing visualizations such as scatter plots, histograms, and heatmaps, it enables traders to uncover potential trade opportunities, discern market dynamics, pinpoint outliers, delve into the relationship between price and volume, and much more.
A Z-Score is a statistical measurement indicating the number of standard deviations a data point deviates from the dataset's mean. Essentially, it provides insight into a value's relative position within a group of values (mean).
- A Z-Score of zero means the data point is exactly at the mean.
- A positive Z-Score indicates the data point is above the mean.
- A negative Z-Score indicates the data point is below the mean.
For instance, a Z-Score of 1 indicates that the data point is 1 standard deviation above the mean, while a Z-Score of -1 indicates that the data point is 1 standard deviation below the mean. In simple terms, the more extreme the Z-Score of a data point, the more “unusual” it is within a larger context.
If data is normally distributed, the following properties can be observed:
- About 68% of the data will lie within ±1 standard deviation (z-score between -1 and 1).
- About 95% will lie within ±2 standard deviations (z-score between -2 and 2).
- About 99.7% will lie within ±3 standard deviations (z-score between -3 and 3).
Datasets like price and volume (in this context) are most often not normally distributed. While the interpretation in terms of percentage of data lying within certain ranges of z-scores (like the ones mentioned above) won't hold, the z-score can still be a useful measure of how "unusual" a data point is relative to the mean.
The aim of this indicator is to offer a unique way of screening the market for trading opportunities by conveniently visualizing where current volume and price activity stands in relation to the average. It also offers features to observe the convergent/divergent relationships between asset’s price movement and volume, observe a single symbol’s activity compared to the wider market activity and much more.
Here is an overview of a few important settings.
Z-SCORE TYPE
◽️ Z-Score Type: Current Z-Score
Calculates the z-score by comparing current bar’s price and volume data to the mean (moving average with any custom length, default is 20 bars). This indicates how much the current bar’s price and volume data deviates from the average over the specified period. A positive z-score suggests that the current bar's price or volume is above the mean of the last 20 bars (or the custom length set by the user), while a negative z-score means it's below that mean.
Example: Consider an asset whose current price and volume both show deviations from their 20-bar averages. If the price's Z-Score is +1.5 and the volume's Z-Score is +2.0, it means the asset's price is 1.5 standard deviations above its average, and its trading volume is 2 standard deviations above its average. This might suggest a significant upward move with strong trading activity.
◽️ Z-Score Type: Average Z-Score
Calculates the custom-length average of symbol's z-score. Think of it as a smoothed version of the Current Z-Score. Instead of just looking at the z-score calculated on the latest bar, it considers the average behavior over the last few bars. By doing this, it helps reduce sudden jumps and gives a clearer, steadier view of the market.
Example: Instead of a single bar, imagine the average price and volume of an asset over the last 5 bars. If the price's 5-bar average Z-Score is +1.0 and the volume's is +1.5, it tells us that, over these recent bars, both the price and volume have been consistently above their longer-term averages, indicating sustained increase.
◽️ Z-Score Type: Relative Z-Score
Calculates a relative z-score by comparing symbol’s current bar z-score to the mean (average z-score of all symbols in the group). This is essentially a z-score of a z-score, and it helps in understanding how a particular symbol's activity stands out not just in its own historical context, but also in relation to the broader set of symbols being analyzed. In other words, while the primary z-score tells you how unusual a bar's activity is for that specific symbol, the relative z-score informs you how that "unusualness" ranks when compared to the entire group's deviations. This can be particularly useful in identifying symbols that are outliers even among outliers, indicating exceptionally unique behaviors or opportunities.
Example: If one asset's price Z-Score is +2.5 and volume Z-Score is +3.0, but the group's average Z-Scores are +0.5 for price and +1.0 for volume, this asset’s Relative Z-Score would be high and therefore stand out. This means that asset's price and volume activities are notably high, not just by its own standards, but also when compared to other symbols in the group.
DISPLAY TYPE
◽️ Display Type: Scatter Plot
The Scatter Plot is a visual tool designed to represent values for two variables, in this case the Z-Scores of price and volume for multiple symbols. Each symbol has it's own dot with x and y coordinates:
X-Axis: Represents the Z-Score of price. A symbol further to the right indicates a higher positive deviation in its price from its average, while a symbol to the left indicates a negative deviation.
Y-Axis: Represents the Z-Score of volume. A symbol positioned higher up on the plot suggests a higher positive deviation in its trading volume from its average, while one lower down indicates a negative deviation.
Here are some guideline insights of plot positioning:
- Top-Right Quadrant (High Volume-High Price): Symbols in this quadrant indicate a scenario where both the trading volume and price are higher than their respective mean.
- Top-Left Quadrant (High Volume-Low Price): Symbols here reflect high trading volumes but prices lower than the mean.
- Bottom-Left Quadrant (Low Volume-Low Price): Assets in this quadrant have both low trading volume and price compared to their mean.
- Bottom-Right Quadrant (Low Volume-High Price): Symbols positioned here have prices that are higher than their mean, but the trading volume is low compared to the mean.
The plot also integrates a set of concentric squares which serve as visual guides:
- 1st Square (1SD): Encapsulates symbols that have Z-Scores within ±1 standard deviation for both price and volume. Symbols within this square are typically considered to be displaying normal behavior or within expected range.
- 2nd Square (2SD): Encapsulates those with Z-Scores within ±2 standard deviations. Symbols within this boundary, but outside the 1 SD square, indicate a moderate deviation from the norm.
- 3rd Square (3SD): Represents symbols with Z-Scores within ±3 standard deviations. Any symbol outside this square is deemed to be a significant outlier, exhibiting extreme behavior in terms of either its price, its volume, or both.
By assessing the position of symbols relative to these squares, traders can swiftly identify which assets are behaving typically and which are showing unusual activity. This visualization simplifies the process of spotting potential outliers or unique trading opportunities within the market. The farther a symbol is from the center, the more it deviates from its typical behavior.
◽️ Display Type: Columns
In this visualization, z-scores are represented using columns, where each symbol is presented horizontally. Each symbol has two distinct nodes:
- Left Node: Represents the z-score of volume.
- Right Node: Represents the z-score of price.
The height of these nodes can vary along the y-axis between -4 and 4, based on the z-score value:
- Large Positive Columns: Signify a high or positive z-score, indicating that the price or volume is significantly above its average.
- Large Negative Columns: Represent a low or negative z-score, suggesting that the price or volume is considerably below its average.
- Short Columns Near 0: Indicate that the price or volume is close to its mean, showcasing minimal deviation.
This columnar representation provides a clear, intuitive view of how each symbol's price and volume deviate from their respective averages.
◽️ Display Type: Circles
In this visualization style, z-scores are depicted using circles. Each symbol is horizontally aligned and represented by:
- Solid Circle: Represents the z-score of price.
- Transparent Circle: Represents the z-score of volume.
The vertical position of these circles on the y-axis ranges between -4 and 4, reflecting the z-score value:
- Circles Near the Top: Indicate a high or positive z-score, suggesting the price or volume is well above its average.
- Circles Near the Bottom: Represent a low or negative z-score, pointing to the price or volume being notably below its average.
- Circles Around the Midline (0): Highlight that the price or volume is close to its mean, with minimal deviation.
◽️ Display Type: Delta Columns
There's also an option to utilize Z-Score Delta Columns. For each symbol, a single column is presented, depicting the difference between the z-score of price and the z-score of volume.
The z-score delta essentially captures the disparity between how much the price and volume deviate from their respective mean:
- Positive Delta: Indicates that the z-score of price is greater than the z-score of volume. This suggests that the price has deviated more from its average than the volume has from its own average. Such a scenario could point to price movements being more significant or pronounced compared to the changes in volume.
- Negative Delta: Represents that the z-score of volume is higher than the z-score of price. This might mean that there are substantial volume changes, yet the price hasn't moved as dramatically. This can be indicative of potential build-up in trading interest without an equivalent impact on price.
- Delta Close to 0: Means that the z-scores for price and volume are almost equal, indicating their deviations from the average are in sync.
◽️ Display Type: Z-Volume/Z-Price Heatmap
This visualization offers a heatmap either for volume z-scores or price z-scores across all symbols. Here's how it's presented:
Each symbol is allocated its own horizontal row. Within this row, bar-by-bar data is displayed using a color gradient to represent the z-score values. The heatmap employs a user-defined gradient scale, where a chosen "cold" color represents low z-scores and a chosen "hot" color signifies high z-scores. As the z-score increases or decreases, the colors transition smoothly along this gradient, providing an intuitive visual indication of the z-score's magnitude.
- Cold Colors: Indicate values significantly below the mean (negative z-score)
- Mild Colors: Represent values close to the mean, suggesting minimal deviation.
- Hot Colors: Indicate values significantly above the mean (positive z-score)
This heatmap format provides a rapid, visually impactful means to discern how each symbol's price or volume is behaving relative to its average. The color-coded rows allow you to quickly spot outliers.
VOLUME TYPE
The "Volume Type" input allows you to choose the nature of volume data that will be factored into the volume z-score calculation. The interpretation of indicator’s data changes based on this input. You can opt between:
- Volume (Regular Volume): This is the classic measure of trading volume, which represents the volume traded in a given time period - bar.
- OBV (On-Balance Volume): OBV is a momentum indicator that accumulates volume on up bars and subtracts it on down bars, making it a cumulative indicator that sort of measures buying and selling pressure.
Interpretation Implications:
- For Volume Type: Regular Volume:
Positive Z-Score: Indicates that the trading volume is above its average, meaning there's unusually high trading activity .
Negative Z-Score: Suggests that the trading volume is below its average, signifying unusually low trading activity.
- For Volume Type: OBV:
Positive Z-Score: Signifies that “buying pressure” is above its average.
Negative Z-Score: Signifies that “selling pressure” is above its average.
When comparing Z-Score of OBV to Z-Score of price, we can observe several scenarios. If Z-Price and Z-Volume are convergent (have similar z-scores), we can say that the directional price movement is supported by volume. If Z-Price and Z-Volume are divergent (have very different z-scores or one of them being zero), it suggests a potential misalignment between price movement and volume support, which might hint at possible reversals or weakness.
Crypto Daily WatchList And Screener [M]
Hi, this is a watchlist and screener indicator designed for traders in the field of cryptocurrencies who want to monitor developments in other currency pairs and indices.
The indicator consists of two tables. One of them is the table containing indices such as BTC dominance, total, total2, which allows you to track market developments and changes. In this table, you will find price information, daily change, stochastic, and trend information.
The other table includes cryptocurrencies like BTC/USDT, ETH/USDT, DOT/USDT, and more. In this table, you will see real-time prices, daily volume, daily change, stochastic, the correlation coefficient between the pair and Bitcoin, and the trend value calculated based on MACD.
The "Customize" section in the settings enables you to personalize the appearance of the tables according to your preferences.
Forex & Stock Daily WatchList And Screener [M]Hi, this is a watchlist and screener indicator for Forex and Stocks.
This indicator is designed for traders who trade in the forex markets and monitor developments in indices and other currency pairs.
It includes information on 14 indices such as the volatility index, Baltic dry index, etc. You can customize the indices as you wish. The indices table contains the index's price (or points), daily change, stochastic value, and trend direction.
The second table is designed for trading forex and stock currency pairs.
In this table, you will find information such as price, volume, change, stochastic, RSI, trend direction, and MACD result for all traded pairs. You can customize all the currency pairs in this table as you wish, and you can also tailor the oscillator settings to your preferences.
In the settings section, you can use checkboxes to hide the pairs in both tables.
The "Customize" section in the settings allows you to personalize the table appearances according to your preferences.
How To Input CSV List Of Symbol Data Used For ScreenerExample of how to input multiple symbols at once using a CSV list of ticker IDs. The input list is extracted into individual ticker IDs which are then each used within an example screener function that calculates their rate of change. The results for each of the rate of changes are then plotted.
For code brevity this example only demonstrates using up to 4 symbols, but the logic is annotated to show how it can easily be expanded for use with up to 40 ticker IDs.
The CSV list used for input may contain spaces or no spaces after each comma separator, but whichever format (space or no space) is used must be used consistently throughout the list. If the list contains any invalid symbols the script will display a red exclamation mark that when clicked will display those invalid symbols.
If more than 4 ticker IDs are input then only the first 4 are used. If less than 4 ticker IDs are used then the unused screener calls will return `float(na)`. In the published chart the input list is using only 3 ticker IDs so there are only 3 plots shown instead of 4.
NOTICE: This is an example script and not meant to be used as an actual strategy. By using this script or any portion thereof, you acknowledge that you have read and understood that this is for research purposes only and I am not responsible for any financial losses you may incur by using this script!
Multi-Asset Performance [Spaghetti] - By LeviathanThis indicator visualizes the cumulative percentage changes or returns of 30 symbols over a given period and offers a unique set of tools and data analytics for deeper insight into the performance of different assets.
Multi Asset Performance indicator (also called “Spaghetti”) makes it easy to monitor the changes in Price, Open Interest, and On Balance Volume across multiple assets simultaneously, distinguish assets that are overperforming or underperforming, observe the relative strength of different assets or currencies, use it as a tool for identifying mean reversion opportunities and even for constructing pairs trading strategies, detect "risk-on" or "risk-off" periods, evaluate statistical relationships between assets through metrics like correlation and beta, construct hedging strategies, trade rotations and much more.
Start by selecting a time period (e.g., 1 DAY) to set the interval for when data is reset. This will provide insight into how price, open interest, and on-balance volume change over your chosen period. In the settings, asset selection is fully customizable, allowing you to create three groups of up to 30 tickers each. These tickers can be displayed in a variety of styles and colors. Additional script settings offer a range of options, including smoothing values with a Simple Moving Average (SMA), highlighting the top or bottom performers, plotting the group mean, applying heatmap/gradient coloring, generating a table with calculations like beta, correlation, and RSI, creating a profile to show asset distribution around the mean, and much more.
One of the most important script tools is the screener table, which can display:
🔸 Percentage Change (Represents the return or the percentage increase or decrease in Price/OI/OBV over the current selected period)
🔸 Beta (Represents the sensitivity or responsiveness of asset's returns to the returns of a benchmark/mean. A beta of 1 means the asset moves in tandem with the market. A beta greater than 1 indicates the asset is more volatile than the market, while a beta less than 1 indicates the asset is less volatile. For example, a beta of 1.5 means the asset typically moves 150% as much as the benchmark. If the benchmark goes up 1%, the asset is expected to go up 1.5%, and vice versa.)
🔸 Correlation (Describes the strength and direction of a linear relationship between the asset and the mean. Correlation coefficients range from -1 to +1. A correlation of +1 means that two variables are perfectly positively correlated; as one goes up, the other will go up in exact proportion. A correlation of -1 means they are perfectly negatively correlated; as one goes up, the other will go down in exact proportion. A correlation of 0 means that there is no linear relationship between the variables. For example, a correlation of 0.5 between Asset A and Asset B would suggest that when Asset A moves, Asset B tends to move in the same direction, but not perfectly in tandem.)
🔸 RSI (Measures the speed and change of price movements and is used to identify overbought or oversold conditions of each asset. The RSI ranges from 0 to 100 and is typically used with a time period of 14. Generally, an RSI above 70 indicates that an asset may be overbought, while RSI below 30 signals that an asset may be oversold.)
⚙️ Settings Overview:
◽️ Period
Periodic inputs (e.g. daily, monthly, etc.) determine when the values are reset to zero and begin accumulating again until the period is over. This visualizes the net change in the data over each period. The input "Visible Range" is auto-adjustable as it starts the accumulation at the leftmost bar on your chart, displaying the net change in your chart's visible range. There's also the "Timestamp" option, which allows you to select a specific point in time from where the values are accumulated. The timestamp anchor can be dragged to a desired bar via Tradingview's interactive option. Timestamp is particularly useful when looking for outperformers/underperformers after a market-wide move. The input positioned next to the period selection determines the timeframe on which the data is based. It's best to leave it at default (Chart Timeframe) unless you want to check the higher timeframe structure of the data.
◽️ Data
The first input in this section determines the data that will be displayed. You can choose between Price, OI, and OBV. The second input lets you select which one out of the three asset groups should be displayed. The symbols in the asset group can be modified in the bottom section of the indicator settings.
◽️ Appearance
You can choose to plot the data in the form of lines, circles, areas, and columns. The colors can be selected by choosing one of the six pre-prepared color palettes.
◽️ Labeling
This input allows you to show/hide the labels and select their appearance and size. You can choose between Label (colored pointed label), Label and Line (colored pointed label with a line that connects it to the plot), or Text Label (colored text).
◽️ Smoothing
If selected, this option will smooth the values using a Simple Moving Average (SMA) with a custom length. This is used to reduce noise and improve the visibility of plotted data.
◽️ Highlight
If selected, this option will highlight the top and bottom N (custom number) plots, while shading the others. This makes the symbols with extreme values stand out from the rest.
◽️ Group Mean
This input allows you to select the data that will be considered as the group mean. You can choose between Group Average (the average value of all assets in the group) or First Ticker (the value of the ticker that is positioned first on the group's list). The mean is then used in calculations such as correlation (as the second variable) and beta (as a benchmark). You can also choose to plot the mean by clicking on the checkbox.
◽️ Profile
If selected, the script will generate a vertical volume profile-like display with 10 zones/nodes, visualizing the distribution of assets below and above the mean. This makes it easy to see how many or what percentage of assets are outperforming or underperforming the mean.
◽️ Gradient
If selected, this option will color the plots with a gradient based on the proximity of the value to the upper extreme, zero, and lower extreme.
◽️ Table
This section includes several settings for the table's appearance and the data displayed in it. The "Reference Length" input determines the number of bars back that are used for calculating correlation and beta, while "RSI Length" determines the length used for calculating the Relative Strength Index. You can choose the data that should be displayed in the table by using the checkboxes.
◽️ Asset Groups
This section allows you to modify the symbols that have been selected to be a part of the 3 asset groups. If you want to change a symbol, you can simply click on the field and type the ticker of another one. You can also show/hide a specific asset by using the checkbox next to the field.
Strategy - Relative Volume GainersStrategy - Relative Volume Gainers
Overview:
This trading strategy, called "Relative Volume Gainers," is designed for Long Entry opportunities in the stock market. The strategy aims to identify potential trading candidates based on specific technical conditions, including volume, price movements, and indicator alignments.
Strategy Rules:
The strategy is focused solely on Long Entry positions.
The volume for the current trading day must be greater than or equal to the volume of the previous day.
The percentage change in price must be greater than or equal to 2.5%.
The Last Traded Price (LTP) must be greater than or equal to the Exponential Moving Average (EMA) 200.
The Relative Volume for the current trading day (calculated over the last 30 days) must be greater than or equal to the Simple Moving Average (SMA) of Relative Volume over the same 30 days.
The current candle on the chart should be Green or Bullish, indicating positive price movement.
The price difference between bid and ask prices should be kept to a minimum.
It's recommended to also analyze market depth for better insights.
Strategy Requirements:
Add the Exponential Moving Average (EMA) 200 to your trading chart.
This strategy can be applied on charts of any timeframe.
For intraday trading, particularly for early entry, consider using a 1-minute timeframe.
It is advisable to create a screener to identify potential trades in real-time market conditions.
Risk Warning:
Stocks that meet the strategy criteria might exhibit high volatility and a high beta, making them inherently risky to trade. Exercise caution and adhere to predetermined risk management strategies.
Determine your trading quantity based on your entry price and stop loss in order to manage risk effectively.
Quantity Calculation Formula:
Quantity calculation is crucial to manage risk and position sizing. The following formulas can be used based on your trading scenario:
Quantity with Leverage:
Quantity = (((Using Capital / 100) * Risk Percent) / (Entry Price - Stop Loss)) * Leverage
Eg: Quantity = (((10000 / 100) * 0.2) / (405.5 - 398.5)) * 5
Quantity = 14
Risk = Rs.100 (Rs.100 is 1% of Rs.10000. So the risk is 1%, means we lose only Rs.100 when the SL is hit. If SL is increased the Quantity will get reduced to maintain a fixed risk of Rs.100)
Quantity without Leverage:
Quantity = (((Using Capital / 100) * Risk Percent) / (Entry Price - Stop Loss))
Note:
Always stay informed about market conditions and be prepared for potential rapid price movements when trading stocks that meet the strategy criteria. Strictly adhere to your predefined risk management strategy to safeguard your capital.
All Candlestick Patterns Screener [By MUQWISHI]▋ INTRODUCTION :
The Candlestick Patterns Screener has been designed to offer an advanced monitoring solution for up to 40 symbols. Utilizing a log screener style, it efficiently gathers information on confirmed candlestick pattern occurrences and presents it in an organized table. This table includes essential details such as the symbol name, signal price, and the corresponding candlestick pattern name.
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▋ OVERVIEW:
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▋ CREDIT:
Credit to public technical “*All Candlestick Patterns*” indicator.
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▋ USAGE:
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▋ Final Comments:
For best performance, add the Candlestick Patterns Screener on active symbol chart like QQQ, SPY, AAPL, BTCUSDT, ES, EURUSD or …etc.
Candlestick patterns are not a major concept to build a trading decision.
Personally, I see candlestick patterns as a means to comprehend the psychology of the market, and help to follow the price action.
Please let me know if you have any questions.
Thank you.
Any Screener (Multiple)I suppose it's time to publish something relatively useful :). Here's the first try, Any Screener.
This script is an advanced version of the Alphatrend - Screener that I've coded as a humble "thank you" to Kıvanç Özbilgiç (KivancOzbilgic), who always inspired me.
INTRODUCTION
I developed this version with a unique method because I couldn't find an example with the following features:
It presents the valid signal status of multiple indicators for 15 different symbols in the form of a report.
It indicates how many bars have passed after the signal has occurred.
It indicates the signal direction with dynamic colors and chars.
It can also be used for data (just indicator value) that is only intended to be displayed as text. (Default color is grey).
Long and short signals can optionally be ploted on the chart.
It includes advanced configuration settings.
USAGE OF PANEL
The screener panel is simple to use. On the far left, assets are listed. The names of the indicators appear at the top. In the column with the name of each indicator, the signals of that indicator appear as green or red. The green ones represent the long signals (uptrend) and the red ones represent the short signals (down trend). The numbers in square brackets indicate how many bars have passed after the last signal has occurred. (For example: According to the indicator at the top, when the green bullish triangle and 21 appeared on allign of BTCUSDT, Bitcoin switched to buy signal 21 bars ago. A tip : If the signal distance is 0, the signal occurred at the current bar. It is recommended to wait for the bar to close before entering the trade). Signal distance is an essential output for both manual and algorithmic trading. Users often require mentioned data the most during real time trading.
THE SCRIPT
There are two sections in the script; indicators and screener.
SECTION 1 : "INDICATORS"
In the indicator section, you'll find efficient details about switch methods, normalization, avoid pyramyding (in momentum oscillators) etc. On the other hand, I intended to present a "how to example" of a multiple screener, so it has to include more than one indicator.
OTT : Optimized Trend Tracker is developed by dear Anıl Özekşi, known as the "Old Fisherman" :). In my opinion, it is a pretty cool trend-following indicator that offers a mathematical elegance. This indicator aim to detect the current market trend direction, the indicator detect an up-trending market when the support line is superior to the OTT, and a down trending market when the support line is inferior to the OTT. It has three parameters; moving average type, length and percentage. In this version when the percentage parameter is set to 0.0, OTT turns into the selected moving average. And the signals are generated by the crossing of the closing price. It means, this screener is able to compile and present status of moving averages as well. Also VAR (VIDYA) and EVWMA has been re-designed, both moving averages no longer start at zero at the beginning of the chart (That was a big problem for backtests).
PSAR : J. Welles Wilder's Parabolic Stop And Reversal is an important trend following indicator. PSAR detects an up-trending market when below the market price and a down-trend when above. It can work in harmony with OTT according to the parameter combinations.
OSCILLATORS : Also optional three momentum oscillators have been added. MFI (Money Flow Index), RSI (Relative Strength Index) and STOCH (Stochastic %k). All three oscillators are widely used in markets and quite successful in explaining price movements by using different sources. Oscillators generate long and short signals based on oversold and overbought parameters.
VOLATILITY & TREND : There are three optional indicators. ADX (Average Directional Index), BBW-N (Normalized Bollinger Bandwidth) and REG-N (Normalized value of standard error of linear regression). These three indicators don't generate any long or short signals. Instead, they are used to measure the strength of trends and volatility. Therefore, only the numerical results (0-100) are displayed in screener panel and it is grey. (Note : The second length parameter of ADX has the same value with the first one. Bollinger Bandwith's multiplier is 2.0. REG-N is a variable that developed by Paul Kirshenbaum for Kirshenbaum Bands.)
SECTION 2 : "SCREENER"
The second section processes the main idea. This Screener model is based on generating an integer direction variable from boolean signals. The direction value serves multiple purposes: calculating the distance of signal, determining the color based on the direction, and creating "clean" data for the security function. The final step is to present the obtained data as text to the user.
HOW CAN I "SCREEN" MY CONDITIONS?
That's piece a cake, delete the Section 1 in the script :). If you change totally 11 variables according to your own strategy, you can create your new screener! The method is explained at lines 169-171.
SINCERELY THANKS
To allanster for patiently answering my primitive questions,
And to KivancOzbilgic for mind blowing suggestions (especially while we're drinking Raki) :)...
DISCLEIMER
This is just an indicator, nothing more. The script is for informational and educational purposes only. The use of the script does not constitute professional and/or financial advice. The responsibility for risks associated with the use of the script is solely owned by the user. Do not forget to manage your risk. And trade as safely as possible. Good luck!
GDCA ScreenerThis is upgrated system for Screener to DCA from "Grospector DCA V.3".
This has 5 zone Extreme high , high , normal , low , Extreme low. You can dynamic set min - max percent every zone.
Extreme zone is derivative short and long which It change Extreme zone to Normal zone all position will be closed.
Every Zone is splitted 10 channel. and this strategy calculate contribution.
and now can predict price in future.
Price Type: Allows the user to select the price type (open, high, low, close) for calculations.
ALL SET
Length MA for normal zone: The length of the moving average used in the normal zone.
Length for strong zone: The length of the moving average used in the strong zone, which is averaged from the normal zone moving average.
Multiple for Short: The multiplication factor applied to determine the threshold for the short zone.
Multiple for Strong Sell: The multiplication factor applied to determine the threshold for the strong sell zone.
Multiple for Sell Zone: The multiplication factor applied to determine the threshold for the sell zone.
Multiple for Buy Zone: The multiplication factor applied to determine the threshold for the buy zone.
Multiple for Strong Buy: The multiplication factor applied to determine the threshold for the strong buy zone.
Multiple for Long: The multiplication factor applied to determine the threshold for the long zone.
ZONE
Start Short Zone %: The start percentage of the short zone.
End Short Zone %: The end percentage of the short zone.
Start Sell Zone %: The start percentage of the sell zone.
End Sell Zone %: The end percentage of the sell zone.
Start Normal Zone %: The start percentage of the normal zone.
End Normal Zone %: The end percentage of the normal zone.
Start Buy Zone %: The start percentage of the buy zone.
End Buy Zone %: The end percentage of the buy zone.
Start Long Zone %: The start percentage of the long zone.
End Long Zone %: The end percentage of the long zone.
DISPLAY
Show Price: Controls the visibility of the price column in the display table.
Show Mode: Controls the visibility of the mode column in the display table.
Show GDCA: Controls the visibility of the GDCA column in the display table.
Show %: Controls the visibility of the percentage column in the display table.
Show Short: Controls the visibility of the short column in the display table.
Show Strong Sell: Controls the visibility of the strong sell column in the display table.
Show Sell: Controls the visibility of the sell column in the display table.
Show Buy: Controls the visibility of the buy column in the display table.
Show Strong Buy: Controls the visibility of the strong buy column in the display table.
Show Long: Controls the visibility of the long column in the display table.
Show Suggestion Trend: Controls the visibility of the suggestion trend column in the display table.
Show Manual Custom Code: Controls the visibility of the manual custom code column in the display table.
Show Dynamic Trend: Controls the visibility of the dynamic trend column in the display table.
Symbols: Boolean parameters that control the visibility of individual symbols in the display table.
Mode: Integer parameters that determine the mode for each symbol, specifying different settings or trends.
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