Correlation Stock Market Table by [VanHelsing]This is a correlation table, it correlates with current opened asset (chart).
In settings you can change periods of days and change assets what you want to see in table.
The main feature of this table is an changing alert, it changes values depends on settings what you chose, you can use it for send whole table to your spreadsheets like screenshot below.
To send a table you need a webhook service.
Like you see it sends whole table to a one cell, so you need separate values by "=TRANSPOSE(SPLIT(cell_id, " "))" it will separate values verticaly by space and then you need separate these values what you now have in a column to the rows horizontaly by function:
=SPLIT(cell_id, ",") now it will separate values by comma.
This is an alert in code
That's it now you have a fully automated table!
Pesquisar nos scripts por "Table"
BTC Performance Table / BTC Seasonality Visualization
This script visualizes Bitcoins "seasonality", in form of a colored table (based on the idea from "BigBangTheory")
The history table shows you which months do statistically perform better/worse in comparison to other months.
How to use this script:
Choose ticker "BLX" ("BraveNewCoin Liquid Index for Bitcoin").
Set the charts time frame to weekly or daily. Tables position on the screen and its colors are configurable.
Table explanation:
Cells show whether a gain or a loss occured from month to month, since BTC came out in 2010.
The price difference, between monthly open and monthly close, determines the cell color (negative -> red, positive -> green).
The year column shows total gain (green) or loss (red) for that particular year.
Each value is presented as a rounded percentage number.
How this script works:
The script calculates the price difference between each monthly and yearly open and close, storing those numbers inside arrays.
Then it populates the table, by using those numbers and doing the cell coloring (there will be a yellow cell, in case no change should occur).
German Short-Description
Prozentuale Übersicht in Tabellenform, der monatlichen, sowie jährlichen, Performance des Bitcoin (basierend auf der Idee von "BigBangTheory").
Hierdurch wird die "Saisonalität" des Bitcoin sichtbar. D.h. welche Monate des Jahres, im Vergleich zu anderen Monaten, statistisch gesehen öfter positiv/negativ schließen.
Zwecks vollständiger Darstellung muss der Ticker "BLX" ("BraveNewCoin Liquid Index for Bitcoin") im weekly oder daily time frame aktiv sein.
Indicator Direction Table With Bullish & Bearish LabelsINDICATOR DIRECTION TABLE WITH BULLISH AND BEARISH LABELS
This is a table that shows the bullish, bearish or neutral trend for nine different popular indicators. Each indicator label will change color in real time to make you aware of each change in direction. This way you don’t have to read and analyze a bunch of different indicators constantly and you can focus on price action instead.
Look for the entire table to turn green or red before taking positions.
You can also set alerts for when the entire table of indicators is bullish or bearish.
The indicator settings allow customization of indicator lengths & values, table position and turning the indicator table on or off.
The length and other values for each indicator can be customized to suit your preferences, but by default all of them are set to the normal default settings that Tradingview supplies the indicators with. Typically 14 as the length.
The indicators used in this table are as follows:
MACD - Moving Average Convergence Divergence
Stochastic RSI - Stochastic Relative Strength Index
Vortex - Vortex Indicator
Momentum - Momentum Indicator
RSI - Relative Strength Index
PSAR - Parabolic Stop & Reverse
DMI - Directional Movement Index
MFI - Money Flow Index
Fisher - Fisher Transform Price Action
***MARKETS***
This indicator can be used as a signal on all markets, including stocks, crypto, futures and forex.
***TIMEFRAMES***
This indicator table can be used on all timeframes.
***TIPS***
Try using numerous indicators of ours on your chart so you can instantly see the bullish or bearish trend of multiple indicators in real time without having to analyze the data. Some of our favorites are our Auto Fibonacci, Directional Movement Index + Fisher Price Action, Volume Profile With Buy & Sell Pressure, Auto Support And Resistance and Money Flow Index in combination with this indicator direction table. They all have unique features to help you make better and faster trading decisions.
Lines and Table for risk managementABOUT THIS INDICATOR
This is a simple indicator that can help you manage the risk when you are trading, and especially if you are leverage trading. The indicator can also be used to help visualize and to find trades within a suitable or predefined trading range.
This script calculates and draws six “profit and risk lines” (levels) that show the change in percentage from the current price. The values are also shown in a table, to help you get a quick overview of risk before you trade.
ABOUT THE LINES/VALUES
This indicator draws seven percentage-lines, where the dotted line in the middle represents the current price. The other three lines on top of and below the middle line shows the different levels of change in percentage from current price (dotted line). The values are also shown in a table.
DEFAULT VALUES AND SETTINGS
By default the indicator draw lines 0.5%, 1.0%, and 1.5% from current price (step size = 0.5).
The default setting for leverage in this indicator = 1 (i.e. no leverage).
The line closest to dotted line (current price) is calculated by step size (%) * leverage (x) = % from price.
Pay attention to the %-values in the table, they represent the distance from the current price (dotted line) to where the lines are drawn.
* Be aware! If you change the leverage, the distance from the closest lines to the dotted line showing the current price increase.
SETTINGS
1. Leverage: set the leverage for what you are planning to trade on (1 = no leverage, 2 = 2 x leverage, 5 = 5 x leverage...).
2. Stepsize is used to set the distance between the lines and price.
EXAMPLES WITH DIFFERENT SETTINGS
1) Leverage = 1 (no leverage, default setting) and step size 0.5 (%). Lines plotted at (0.5%, 1%, 1.5%, and –0.5%, –1%, –1,5%) from the current price.
2) Leverage = 3 and stepsize 0.5(%). Lines plotted at (1.5%, 3.0%, 4.5%, and –1.5%, –3.0%, –4.5%) from the current price.
3) Leverage = 3 and stepsize 1(%). Lines plotted at (3%, 6%, 9%, and –3%, –6%, –9%) from the current price.
The distance to the nearest line from the current price is always calculated by the formula: Leverage * step size (%) = % to the nearest line from the current price.
Volume Pace & Pressure TableHave you ever wanted to know if a particular tickers volume is above or below average while still in the trading day? This indicator displays an easy-to-read table that informs the user exactly what is occurring in intraday volume. And a whole lot more!
Description
This indicator displays a variable table with either two or three columns and always three rows. It packs everything a user needs to know about volume in one small table. The table shows:
Current trading days volume
Average daily volume
Volume Pace
Volume Pressure (Buying & Selling)
Volume Pace
Volume Pace is a mathematical calculation invented by the author, Infinity_Trading . The problem was to figure out a way to know if the current days volume was below average or above average while still in the trading day. Calculations like Percent Daily Volume don’t work during the intraday trading hours. For example, say SPY has a 20-day volume average of 100 million shares. If in the first hour SPY has only traded 10 million shares then dividing the current volume into the average daily volume doesn’t tell the user anything when there is still 5.5 hours of trading left in the trading day. There had to be a better way! The solution was to chop up the trading day into evenly divisible time periods (i.e. <= 30 minutes). The Volume Pace algorithm takes the average daily volume and chops it up into small time periods based upon the charts current timeframe. This is the average volume per smaller time period. Then use the current days volume and the number of time periods that have occurred in the trading day so far (at the current moment in time i.e. the current candlestick) to form a calculation that returns the volume above or below the average volume up to that point in time.
Volume Pace Equations
Intraday Vol. Pace = Today’s Current Vol. - ( ( Average Daily Vol. / Time periods in trading day ) * Time periods that have occurred so far in trading day )
Postday Vol. Pace = Today’s Trading Vol. - Average Daily Vol.
^ Vol. = Volume (because TradingViews pine tags are dumb)
Volume Pace Definitions
Volume Pace is the difference in cumulative volume between todays current volume and the average daily volume up to same time of the day
Volume Pace Usage
If the Volume Pace is a positive number then it means that up to the current trading time the volume is that amount greater than the average daily volume over that same intraday time span.
If the Volume Pace is a negative number then it means that up to the current trading time the volume is that amount smaller than the average daily volume over that same intraday time span.
If the Volume Pace is positive during the intraday then the volume is on track to be an above average volume trading day.
If the Volume Pace is negative during the intraday then the volume is on track to be a below average volume trading day.
The Percent Volume Pace is the percent increase or decrease of the current volume compared to the average volume up to the same time of day. Or the Percent Volume Pace is the Volume Pace expressed as a percentage.
After the trading day is complete the Volume Pace will be the difference between the Daily Volume and the Average Daily Volume. And the same thing applies to the Percent Volume Pace.
Volume Pressure
The author, Infinity_Trading, did not invent the calculations for Volume Pressure but the definitions and explanations of Volume Pressure are their own creations. In specific terms, Volume Pressure is a mathematical calculation that uses the direction and distances of individual candlesticks bodies and wicks to assign a numerical value to volume.
buyingPressure = vol * (close - low) / (high - low)
sellingPressure = vol * (high - close) / (high - low)
^ vol = Volume (because TradingViews pine tags are dumb)
The author wants to make clear that volume “pressure” isn’t a real thing. Trades in any market require a buyer and a seller. So there is always an equal number of buyers and sellers. Thus, the idea that there are more buyers or more sellers isn’t rooted in reality. BUT the author believes that the calculation and understanding of “volume pressure” takes a very complex subject (price moment in a market) and condenses into something that intuitively makes sense to humans (pressure) and places it onto something that is already on everyone’s charts (volume bars).
The calculation for Buying Pressure is really calculating the upward distance between the low and the close of the candle. While Selling Pressure is measuring the downward distance from the high to the close. And both are using volume bars to express these measurements. So if an individual candle goes down then the red Selling Pressure will be more on the stacked bar chart than the green Buying Pressure. And vice versa for candles that went up. If a Volume Pressure bar is completely one color then it means, for a downward candle, the low and close were equivalent, and for an upward candle, the high and the close were the same. Lastly, the Buying & Selling Pressure will always add up to 100%.
Inputs and Style
In the Input section the user can set the number of days to use for all of the average calculations. All aspects of the table can be controlled. The background color, text color, border widths, and border colors. Also, the table can be moved to 9 unique locations around the chart for complete user control. Also, the user can use their cursor to hover over each cell in the table to reveal a tooltip definition of the calculation in the cell.
Special Notes
The volume table won’t display when the chart timeframe is weekly or monthly because the logic uses “daily” volume.
The Volume Pace column in the table disappears when the timeframe is greater than 30 minutes. Because for Volume Pace to work the time periods must be equally divisible into 6.5 hours (the duration of trading day).
P/L panelThis is not a indicator or strategy.
I thought of having a table showing running profit or loss on chart from a specific price.
I tried to put the same in code and ended up with this code.
This is a table showing the running profit or loss from a manually specified price and quantity.
when you add the code, This table asks us to input the entry price and quantity.
It will calculate the running profit or loss with respect to running price and puts that in the table.
We will have to input two things.
1.) entry price: the price at which a position(long/short) is taken.
2.) Quantity: A +value need to be entered for Long position and -value for short position.
code detects whether its a long position or short position based on the quantity info.
for example if a LONG position is taken at a price 60 of 100 quantity,
then in price we need to enter 60
and in quantity 100 (+ve value)
for SHORT position at a price of 60 of 100 quantity,
in price we need to enter 60
and in quantity -100 (-ve value)
once the table is added to the chart.
Just double click on the table, it will open the settings tab and we can provide new inputs price/quantity/position.
positioning of table is optional and all possible positioning options are provided.
Advise further improvements required if any in this code.
This piece of code can be used along with any indicator.
For which we may need to use valuewhen() additionally.
Try it yourself and ping me if required.
Multi Scanner Plot & Table V1Here's how to interpret each column in the table:
Price vs MAs:
What it shows: Where the current price is relative to the short-term (e.g., 20-period) and long-term (e.g., 50-period) Simple Moving Averages (SMAs) calculated on your current chart's timeframe.
Interpretation:
Above Both (Green background): Price is above both the short and long MAs. Generally considered a bullish sign for the current trend.
Below Both (Red background): Price is below both MAs. Generally considered a bearish sign.
Mixed (Gray background): Price is between the two MAs (e.g., above the short but below the long, or vice-versa). Indicates indecision or a potential trend change.
RSI Value:
What it shows: The actual numerical value of the Relative Strength Index (RSI) calculated on your current chart's timeframe.
Interpretation: Just the raw RSI number (e.g., 65.32). The background is always gray. You compare this value to standard overbought/oversold levels (like 70/30) or the levels defined in the script's inputs.
RSI Status:
What it shows: Interprets the RSI Value based on the Overbought/Oversold levels set in the script's inputs (default 70/30). Calculated on your current chart's timeframe.
Interpretation:
Overbought (Red background): RSI is above the overbought level (e.g., > 70). Suggests the asset might be due for a pullback or reversal downwards. Red indicates a potentially bearish condition.
Oversold (Green background): RSI is below the oversold level (e.g., < 30). Suggests the asset might be due for a bounce or reversal upwards. Green indicates a potentially bullish condition.
Neutral (Gray background): RSI is between the oversold and overbought levels.
Last Sig Price:
What it shows: The price level where the last "SIG NOW" Buy or Sell signal occurred on your current chart's timeframe.
Interpretation: Helps you see the entry price of the most recent short-term signal generated by this script. The background color matches the signal type: Green for the last Buy signal, Red for the last Sell signal. N/A if no signal has occurred yet.
SIG NOW:
What it shows: This is the main short-term signal generated by the script based on conditions on your current chart's timeframe. It combines the "Price vs MAs" status and specific RSI conditions (price must be above/below both MAs and RSI must be within a certain range defined in the inputs).
Interpretation:
BUY (Green background): The specific buy conditions are met right now. (Price above both MAs AND RSI is strong but not necessarily overbought).
SELL (Red background): The specific sell conditions are met right now. (Price below both MAs AND RSI is weak but not necessarily oversold).
NEUTRAL (Gray background): Neither the Buy nor the Sell conditions are currently met.
ALERT:
What it shows: Flags unusual volume activity on the current bar compared to the recent average volume (calculated on your current chart's timeframe).
Interpretation:
SPIKE (Yellow background, black text): Current volume is significantly higher than the recent average (defined by the Volume Spike Multiplier). Can indicate strong interest or a potential climax.
DUMP (Purple background): Current volume is significantly lower than the recent average (defined by the Volume Dump Multiplier). Can indicate fading interest.
NONE (Gray background): Volume is within the normal range for the lookback period.
SD$:
What it shows: The price level where the last Volume Spike or Dump occurred on your current chart's timeframe.
Interpretation: Shows the price associated with the most recent significant volume event. The background color indicates the type of the last event: Green if the last event was a Spike, Red if the last event was a Dump. N/A if no Spike/Dump has occurred yet.
BB Value (%B):
What it shows: This relates to Bollinger Bands, but specifically calculated on a Higher Timeframe (HTF) that you can set in the inputs (e.g., Daily BBs while viewing an Hourly chart). It shows the Bollinger Band Percent B (%B) value for that HTF. %B measures where the HTF closing price is relative to the HTF upper and lower bands.
Interpretation:
Value > 1: HTF price closed above the HTF upper Bollinger Band.
Value < 0: HTF price closed below the HTF lower Bollinger Band.
Value between 0 and 1: HTF price closed within the HTF Bollinger Bands (e.g., 0.5 is exactly on the middle band).
The background is always gray.
LTS (Long Term Signal):
What it shows: A signal derived only from the Higher Timeframe (HTF) Bollinger Bands.
Interpretation:
BUY (Green background): The HTF price closed above the HTF upper Bollinger Band (see BB Value > 1). Considered a strong bullish signal from the higher timeframe perspective.
SELL (Red background): The HTF price closed below the HTF lower Bollinger Band (see BB Value < 0). Considered a strong bearish signal from the higher timeframe perspective.
NEUTRAL (Gray background): The HTF price closed within the HTF Bollinger Bands.
How to Understand Bollinger Bands and Signals in this Context:
Bollinger Bands are primarily used for the Long Term Signal (LTS) column. This script calculates BBs on a higher timeframe (you choose which one, or it defaults to the chart's timeframe if left blank).
The "LTS" signal triggers:
A BUY when the price on that higher timeframe closes above its upper Bollinger Band. This often indicates strong momentum or a potential breakout.
A SELL when the price on that higher timeframe closes below its lower Bollinger Band. This often indicates strong negative momentum or a potential breakdown.
The "BB Value" column gives you the raw %B number from that same higher timeframe, showing you exactly where the price is relative to the bands (is it just barely above/below, or way outside?).
The script does not directly use Bollinger Bands from the current chart timeframe for the "SIG NOW" or other table signals. The main short-term signals ("SIG NOW") rely on Moving Averages and RSI on the current timeframe. The LTS provides a longer-term perspective using HTF Bollinger Bands.
In summary: Look at the table to quickly gauge:
Short-term trend (Price vs MAs).
Short-term momentum (RSI Status, SIG NOW).
Recent short-term entry points (Last Sig Price).
Current volume anomalies (ALERT).
Long-term strength/weakness based on HTF Bollinger Bands (LTS, BB Value).
Combine these pieces of information to get a more rounded view of the current market conditions according to this specific script's logic.
ACCURATE TREND LEVELS - TABLE PSv6.1Accurate Trend Level Indicator
Description:
The "Accurate Trend Level" indicator is a powerful tool designed to identify market trends and potential reversals with precision. Built on the concept (foundation) of Swing Highs and Swing Lows, this indicator easily detects uptrends and downtrends, providing traders with clear signals for trend continuation or reversal. Whether you are a swing trader or a trend follower, this indicator offers customization options to suit your trading style.
Key Features:
Trend Identification: Accurately identifies uptrends and downtrends based on Swing High and Swing Low points. This indicator provides signals for Up after Down and Down after Up.
Percentage Adjustment: Includes a customizable percentage factor that reduces false signals and helps identify accurate and strong trends.
Trend Table: Displays essential data in a table, such as:
Last and running Trend Position (Uptrend/Downtrend)
Date and Time of the last and running trend change
Reversal Level (price level for the next potential trend change)
Max. Run-up feature is also provided, which shows how much the market has moved according to the trend.
How It Works:
The indicator analyzes price action using Swing Highs and Lows to determine the current trend direction. A user-defined percentage threshold filters out minor fluctuations, ensuring only significant trends are highlighted. The table provides a quick snapshot of the latest trend data, while reversal levels help traders anticipate the next move.
Motivational Text TableRelease Notes - Motivational Text Table Indicator v1.0
Standalone Indicator:
A new, standalone Pine Script v6 indicator that displays a motivational text table directly on the chart.
Customizable Text:
Users can set their own motivational message through the "Custom Motivational Text" input.
Configurable Appearance:
Change the text color and background color of the table.
Adjust the text size by choosing from "tiny", "small", "normal", "large", or "huge".
Select the table’s position on the chart from multiple preset locations (e.g., top_left, middle_center, bottom_right, etc.).
Static Display:
The table is drawn on the last bar, ensuring that the motivational text remains static during realtime updates.
User-Friendly Design:
The interface is simple and easy to customize, making it perfect for users who need a daily dose of motivation directly on their TradingView charts.
Enjoy your motivational boost on every chart!
Multi-Timeframe Trend TableThe "Multi-Timeframe Trend Table" indicator is a tool that consolidates a variety of critical trading metrics into a single, easy-to-read table format. This indicator is especially useful for traders who need to analyze multiple timeframes and indicators simultaneously to make informed trading decisions. By displaying a broad spectrum of data including trend information, rangebound status, volatility levels, VWAP (Volume Weighted Average Price), and specific candlestick patterns, the indicator provides a comprehensive overview of market conditions across different timeframes.
Functionality and Components
At its core, the indicator provides real-time insights into market trends by showing whether each timeframe is experiencing an upward, downward, or neutral trend based on simple moving averages. This is complemented by the "Rangebound" status, which indicates whether the price is trading within a defined range, giving insights into market consolidation periods. This can be critical for identifying breakouts or breakdowns from established ranges.
Volatility Measurement
Another key feature of the indicator is the "Volatility" column, which rates the market's volatility on a scale from 1 to 10. This feature uses the Average True Range (ATR) to assess how drastically prices are changing within a given timeframe, providing a numerical value that helps traders understand the intensity of price movements. High volatility levels (scores above 6) are highlighted, which can be crucial for strategies that prefer high volatility.
VWAP and Candlestick Patterns
The indicator also displays the VWAP, which is essential for traders who focus on volume as it shows the average price a security has traded at throughout the day, based on both volume and price. It is especially useful for traders looking to confirm trend directions or catch potential reversals. Additionally, the "Candle" column enhances the indicator's utility by identifying specific candlestick patterns like Doji, Hammer, Inverted Hammer, Bullish Engulfing, and Bearish Engulfing, which are pivotal for pinpointing momentum changes and potential entry or exit points.
Usage Strategy
Traders can utilize this indicator by setting up specific rules based on the information provided. For instance, a possible strategy could involve entering a trade when a Bullish Engulfing pattern appears in a low-volatility environment as indicated by a volatility score under 6, suggesting a potential uptrend start with limited downside risk. Similarly, a trader might consider exiting a position or taking a short position when a Bearish Engulfing pattern is identified during high volatility periods, signaling possible sharp price declines.
Adaptability and Customization
An added advantage is the indicator’s adaptability; traders can customize which columns to display based on their trading preferences and strategies. Whether focusing on trends, volatility, or candlestick patterns, users can configure the table to match their specific needs. This makes it a versatile tool suited for various trading styles and objectives, from day trading to swing trading.
Overall Utility
Overall, the "Multi-Timeframe Trend Table" indicator is an invaluable asset for traders who manage multiple instruments across different timeframes, offering a bird's-eye view of the markets in one concise table. It aids in quick decision-making by providing all necessary data points at a glance, reducing the need to switch between multiple charts and potentially missing critical market movements. By integrating trend analysis with volatility and candlestick patterns, it equips traders with a powerful synthesis of technical analysis tools to enhance their trading strategies and improve market timing.
Choose Symbol, Mode with Hull,Stochatic Mom,EMA,MACD,RSI,TableThis Pine Script code is a comprehensive indicator for the TradingView platform, offering a variety of technical analysis tools. Below is an English introduction to its features and purposes:
Introduction:
This indicator is designed for traders on TradingView and provides a multi-functional analysis toolset. It includes different charting modes (Heikin-Ashi, Linear, and Normal), a Hull Moving Average (Hull), Stochastic Momentum, RSI (Relative Strength Index), MACD (Moving Average Convergence Divergence), EMA (Exponential Moving Average), Bollinger Bands, and a summary table displaying key metrics.
Key Features:
Charting Modes:
Users can choose between "Heikin-Ashi," "Linear," or "Normal" modes to visualize price data in different ways.
Hull Moving Average:
The script incorporates the Hull Moving Average for trend analysis, highlighting potential buy and sell signals.
Stochastic Momentum:
Stochastic Momentum, with customizable parameters (K, D, and Smooth), is included to identify overbought and oversold conditions.
RSI (Relative Strength Index):
RSI is calculated and displayed, aiding in identifying potential trend reversals or exhaustion points.
MACD (Moving Average Convergence Divergence):
The MACD indicator is included, along with a histogram, to highlight changes in momentum and potential crossovers.
RSI Momentum:
RSI Momentum is calculated, providing additional insights into momentum changes.
Exponential Moving Averages (EMA):
The script calculates and displays three EMAs (Exponential Moving Averages) with customizable periods.
Bollinger Bands:
Bollinger Bands are incorporated, offering insights into volatility and potential price reversals.
Summary Table:
A table is displayed on the chart summarizing key metrics, including Stochastic MoM, RSI, MACD, RSI EMA, Hull percentage change, and EMA values.
Customization:
Users have the option to customize various parameters, including chart modes, lengths of moving averages, Stochastic parameters, and more.
Usage:
The indicator aims to provide a comprehensive view of price action and potential trend changes. Traders can use it for technical analysis and decision-making.
Important Note:
This script is provided for educational purposes and does not constitute financial advice. Traders and investors should conduct their research and analysis before making any trading decisions.
Correlation Table by VanHelsingCorrelation Table by VanHelsing
Explanation:
So we have three asset with correlation to current asset which is a BTC, also you can use it for ETH
But why only three assets? Because this one fits the best to identify a trend of BTC.
By using let's say a GOLD this table will be far away from accuracy then this three Nasdaq, ES1!(S&P500), DXY the best one for this.
Inside a script we have kama's
(Developed by Perry Kaufman, Kaufman's Adaptive Moving Average (KAMA) is a moving average designed to account for market noise or volatility. KAMA will closely follow prices when the price swings are relatively small and the noise is low. KAMA will adjust when the price swings widen and follow prices from a greater distance. This trend-following indicator can be used to identify the overall trend, time turning points and filter price movements.)
Now you know that KAMA is good solution for fast reaction of trend change and following it.
Now we have three assets with correlation to BTC and three kama's for them to know which trend is there.
Good!
What next?
Next is a scoring for up trend and down trend for BTC
For Understanding I will use DXY and BTC correlation
Lets consider that DXY is moving down and kama detected it,
we have down trend on DXY. How we can score it for BTC buy or sell?
Down trend DXY and negaive correlation to BTC lets say -0.5
In this way it scoring it like 0.5 for buy BTC, because if DXY moving down it means BTC moving up because of negative correlation.
Lets say DXY moving up and correlation with BTC is again -0.5
then what? It scoring -0.5 for sell BTC because since DXY moves up and correlation is negative BTC should move down.
Okay again what if DXY moving up and correlation is positive 0.5?
Then BTC is 0.5 for buy
What if DXY down correlation 0.5? Then BTC score for sell is -0.5
In first look it seems litle bit complicated, but actually it is not, it just take a time for understand. Hope you Enjoy this lesson and hope you will enjoy this indicator!
How to read a table:
Describtion about minimalistic mode
MA Band Distance Monitor'MA Band Distance Monitor' indicator is a simple tool for traders who rely on moving averages to make trading decisions. This indicator plots two moving averages of your choice (you can select the type of the moving average), and fills the space between them, creating a "band".
The indicator also generates a table that displays the current price distance from both the fast and slow moving averages, as well as the average of the two. This allows you to quickly assess the strength of the trend and potential entry or exit points.
In addition, the table also shows the average price distance from one to another MA and also the current distance between them, allowing you to compare the current price action to the historical average. This information can help you identify potential trend reversals and assess the overall health of the market.
*** Slow length input must be greater than fast length input, otherwise indicator will produce faulty results
Stoch RSI 15 min - multi time frame tableABOUT THIS INDICATOR
This indicator calculates the Stochastic RSI for the time frames 15 min, 30 min, 1h, 4h, and 12h. However, the 15 min time frame should always be the default time frame for your chart.
IMPORTANT
* NOTE! It's extremely important that the chosen time frame for your chart is 15 min. Otherwise the Stochastic RSI for the longer time frames won’t be correctly calculated.
* Stochastic RSI will be calculated and displayed in a table for the time frames: 15 min, 30 min, 1h, 4h, 12h.
* All time frames are based on closed bars except the "15minR" that are realtime updated values calculated on a 15 min time frame.
ABOUT STOCHASTIC RSI
The Stochastic RSI (StochRSI) is a momentum indicator that ranges between 0 and 100. A Stochastic RSI value above 80 is considered overbought and below 20 is considered oversold.
By using different time frames you can get a better idea of what direction the trade could take in a "longer" perspective.
SETTINGS
1.) Length RSI = 14 (default period)
2.) Smoothing parameter of Stochastic RSI (Length Moving Average = 3) . Moving average of stochastic RSI
* By default the displayed Stochastic RSI values are smoothed values of the actual Stochastic RSI. The smoothnes is formed by a calculated moving average of with the length of 3 by default.
If you want Stochastic RSI with a sharper signal (higher risk for "false alarms" being more sensitive) change the Length Moving Average to = 1 (no smoothness at all)
You can see the selected "Length RSI" and "Length Moving Average" on top of the Stochastic RSI table.
Next version of this script will be updated with more a more flexible solution for different time frames.
* NOTE, Tradingview comes with a inbuilt Stochastic RSI. See the the chart below. The blue line in the Stochastic-RSI chart represents (K value = 3) the same value as the script calculate/display in the table.
Quantitative Backtesting Panel + ROI Table - ShortsThis script is an aggregate of a backtesting panel with quantitative metrics, ROI table and open ROI reader. It also contains a mechanism for having a fixed percentage stop loss, similar to native TV backtester. For shorts only.
Backtesting Panel:
- Certain metrics are color coded, with green being good performance, orange being neutral, red being undesirable.
• ROI : return with the system, in %
• ROI(COMP=1): return if money is compounded at a rate of 100%
• Hit rate: accuracy of the system, as a %
• Profit factor: gross profit/gross loss
• Maximum drawdown: the maximum value from a peak to a successive trough of the system's equity curve
• MAE: Maximum Adverse Excursion. The biggest loss of a trade suffered while the position is still open
• Total trades: total number of closed trades
• Max gain/max loss: shows the biggest win over the biggest loss suffered
• Sharpe ratio: measures the performance of the system with adjusted risk (no comparison to risk-free asset)
• CAGR: Compound Annual Growth Rate. The mean annual rate of growth of the system of n years (provided n>1)
• Kurtosis: measures how heavily the tails of the distribution differ from that of a normal distribution (symmetric on both sides of mean where mean=0, standard deviation=1). A normal distribution has a kurtosis of 3, and skewness of 0. The kurtosis indicates whether or not the tails of the returns contain extreme values
• Skewness: measures the symmetry of the distribution of returns
- Leptokurtic: K > 0. Having more kurtosis than a normal distribution. It's stretched up and to the side too (2nd pic down). High kurtosis (leptokurtic) is bad as the wider tails (called heavy tails) suggest there is relatively high probability of extreme events
- Mesokurtic: K =0. Having the same kurtosis as a normal distribution
- Platykurtic: K < 0. Having less kurtosis than a normal distribution. This suggests there are light tails and fewer extreme events in the distribution
- Skewness is good: +/- 0.5 (fairly symmetrical)
- Skewness is average: -1 to -0.5 or 0.5 to 1 (moderately skewed)
- Skewness is bad: > +/- 1 (highly skewed)
Evolving ROI table:
- The table of ROI values evolve with the year and month. The sum of each year is given. Please avoid using it on non-cryptocurrencies or any market whose trading session is not 24/7
Open ROI reader:
- At the top center is the open ROI of a trade
Quantitative Backtesting Panel + ROI Table - LongsThis script is an aggregate of a backtesting panel with quantitative metrics, ROI table and open ROI reader. It also contains a mechanism for having a fixed percentage stop loss, similar to native TV backtester. For longs only.
Backtesting Panel:
- Certain metrics are color coded, with green being good performance, orange being neutral, red being undesirable.
• ROI : return with the system, in %
• ROI(COMP=1): return if money is compounded at a rate of 100%
• Hit rate: accuracy of the system, as a %
• Profit factor: gross profit/gross loss
• Maximum drawdown: the maximum value from a peak to a successive trough of the system's equity curve
• MAE: Maximum Adverse Excursion. The biggest loss of a trade suffered while the position is still open
• Total trades: total number of closed trades
• Max gain/max loss: shows the biggest win over the biggest loss suffered
• Sharpe ratio: measures the performance of the system with adjusted risk (no comparison to risk-free asset)
• CAGR: Compound Annual Growth Rate. The mean annual rate of growth of the system of n years (provided n>1)
• Kurtosis: measures how heavily the tails of the distribution differ from that of a normal distribution (symmetric on both sides of mean where mean=0, standard deviation=1). A normal distribution has a kurtosis of 3, and skewness of 0. The kurtosis indicates whether or not the tails of the returns contain extreme values
• Skewness: measures the symmetry of the distribution of returns
- Leptokurtic: K > 0. Having more kurtosis than a normal distribution. It's stretched up and to the side too (2nd pic down). High kurtosis (leptokurtic) is bad as the wider tails (called heavy tails) suggest there is relatively high probability of extreme events
- Mesokurtic: K =0. Having the same kurtosis as a normal distribution
- Platykurtic: K < 0. Having less kurtosis than a normal distribution. This suggests there are light tails and fewer extreme events in the distribution
- Skewness is good: +/- 0.5 (fairly symmetrical)
- Skewness is average: -1 to -0.5 or 0.5 to 1 (moderately skewed)
- Skewness is bad: > +/- 1 (highly skewed)
Evolving ROI table:
- The table of ROI values evolve with the year and month. The sum of each year is given. Please avoid using it on non-cryptocurrencies or any market whose trading session is not 24/7
Open ROI reader:
- At the top center is the open ROI of a trade
Debug tool - tableWhen having a script with lot's of values, it can be difficult to seek the values you need to debug
For example, here, multiple values aren't visible anymore (right side chart)
————————————————————————————————————————————————————————————————
This script show a way where you can show the values in a table on 1 particular bar, with 2 options:
1)
'middle' -> here the script uses chart.left_visible_bar_time and chart.right_visible_bar_time to calculate the middle
the values of that bar (in orange box) is shown, you can check the value by putting your mouse cursor on that bar:
Just zooming in/out, or scrolling through history will automatically show you the middle and the values of that bar.
Using the arrows on your keyboard will allow you to go 1 bar further/back each time.
(Give it some time to load though, also, sometimes you need to click anywhere on the chart before arrows start working)
2)
'time' -> settings -> Date -> the orange bar will be placed on the chosen bar, the values will be placed in the table as well.
————————————————————————————————————————————————————————————————
If the table interfere with the candles, you can alter the position without changing the placement of the orange bar -> settings -> position table
This script holds lots of values, just to show the difference between values placed on the chart, and values, placed in the table.
To make more clear how the script works, an 'example' (v_rsi1 / rsi1) is highlighted in the code itself
Cheers!
Relative Performance TableThis indicator is based on the Performance section in the TradingView's sidebar and uses new Pine tables functionality, originally coded by @Beeholder. It compares the current price of the symbol to its past price and calculates the rate of return to make it easier to track the performance of the symbol. Note that the Performance sidebar is not updated in real-time, while this indicator is, so on real-time charts the values between the two can differ (the indicator's values are more recent). Made a number of enhancement from Bee's script including relative performance of a selected ticker, dynamic table columns, and other options.
The formula of the calculation is (Current value - Past value) * 100 / Past value, where Past value is:
1W
1M
3M
6M
9M
52W (1 Year)
WTD (Week to Date)
MTD (Month to Date)
YTD (Year to Date
--Future development will include the ability to transpose the table columns/rows
Data Monitoring TableThis is a visual data dashboard specifically designed for users engaged in quantitative trading and technical analysis. It is equipped with two data tables that can dynamically display key market technical indicators and cryptocurrency price fluctuation data, supporting customizable column configurations and trading mode filtering.
✅ Core Features:
Intuitive display of critical technical indicators, including the Relative Strength Index (RSI), K-line entity gain, upper/lower shadow ratio, trading volume level, and change rate.
Multi-timeframe tracking of price fluctuations for BTC/ETH/SOL/XRP/DOGE (1-day, 6-hour, 3-hour).
Selectable trading modes: "long-only", "short-only", or "both".
Customizable number of columns to adapt to analysis needs across different timeframes.
All data is visualized in tables with color-coded prompts for market conditions (overbought, oversold, high volatility, low volatility, etc.).
📈 Target Audience:
Investors seeking systematic access to technical data.
Quantitative strategy developers aiming to capture market structural changes.
Intermediate and beginner traders looking to enhance market intuition and decision-making.
New Feature:
We have added a trading volume monitoring grade setting feature. Users can set the monitoring grade by themselves. When the market trading volume reaches this grade, the system will trigger an alarm. The default setting is level 5. This setting is designed to filter out trades with small fluctuations, helping users to capture key trading signals more accurately and improve the efficiency of trading decisions.
中文介绍
这是一款专为量化交易和技术分析用户设计的可视化数据仪表盘。它配备两个数据表格，可动态展示关键市场技术指标与加密货币价格波动数据，支持自定义列配置和交易模式筛选。
✅ 核心功能：
直观展示相对强弱指标（RSI）、K 线实体涨幅、上下影线比例、成交量水平及变化率等关键技术指标。
多时间框架追踪 BTC/ETH/SOL/XRP/DOGE 价格波动（1 日、6 小时、3 小时）。
可选交易模式：“仅做多”“仅做空” 或 “多空双向”。
可自定义列数，适配不同时间框架的分析需求。
所有数据以表格可视化呈现，通过颜色标注提示市场状况（超买、超卖、高波动、低波动等）。
📈 目标用户：
寻求系统获取技术数据的投资者。
旨在捕捉市场结构变化的量化策略开发者。
希望提升市场洞察力和决策能力的初、中级交易者。
新增功能：
我们新增了成交量监控等级设置功能。用户可自行设定监控等级，当市场成交量达到该等级时，系统将触发警报。默认设置为 5 级，此设置旨在过滤掉小幅波动的交易，帮助用户更精准地捕捉关键交易信号，提升交易决策效率。
Range & Pct Change Table (Interactive)Indicator creates an interactive element that displays two key metrics for any selected candle:
1. Range - The difference between high and low prices (H-L)
2. Percentage Change - The percent change from open to close ((C-O)/O × 100)
Key Features
- Interactive Reference Point: Users can select any candle as a reference point using the time input
- Customizable Table: The table can be shown/hidden and positioned in different chart locations
This indicator is particularly useful for quickly analyzing the volatility (range) and directional movement (percentage change) of specific candles without having to manually calculate these values.
Momentum Table - Felipe📊 Momentum Table – By Felipe
This multi-timeframe momentum dashboard displays a clean and color-coded overview of key trend and momentum indicators across 6 major timeframes (5m to 1W), directly on your chart. It’s ideal for quickly identifying market strength, trend alignment, and potential reversals at a glance.
🔍 Features:
EMA Trend Check (EMA 9, 20, 100, 200):
Compares the current close against each EMA.
✅ Green check = price is above the EMA (bullish bias).
🔻 Red arrow = price is below the EMA (bearish bias).
Visual trend alignment helps you spot strong directional setups.
RSI (Relative Strength Index):
Displays current RSI (14) value per timeframe.
Background color highlights momentum conditions:
🔴 Red = Overbought (>70)
🟢 Green = Oversold (<30)
⚪ Gray = Neutral
Stochastic RSI:
Uses Stoch RSI applied to RSI (14) for sensitivity.
Background color follows the same logic as RSI for quick visual cues.
Compact Visual Table:
Located in the bottom-right corner.
Clean design with headers and rows labeled by timeframe.
Helps traders monitor trend and momentum confluence across multiple timeframes in real time.
This tool supports momentum-based strategies, EMA stacking confirmation, and multi-timeframe alignment, making it ideal for scalpers, swing traders, and trend followers alike.
Multi-Timeframe Trend Table📊 Multi-Timeframe Trend Table
Overview
This powerful trend-tracking tool gives you a real-time snapshot of market trends across multiple timeframes — all in one compact and color-coded table. Designed for traders who want fast, clean, and multi-timeframe awareness at a glance.
⸻
✅ Features
• 7 Key Timeframes Monitored:
2min · 5min · 15min · 1h · 4h · 1d · 1w
• Trend Detection Based on EMAs
Uses a fast (default 20) and slow (default 200) EMA to determine if a timeframe is trending:
• 🟢 Uptrend: Fast EMA is above slow EMA
• 🔴 Downtrend: Slow EMA is above fast EMA
• 🟠 Sideways: EMAs are close (configurable threshold)
• Raw EMA Distance
See the actual difference between fast and slow EMAs for each timeframe — great for gauging trend strength.
• EMA Slope Analysis
A unique “Slope” column tells you the current behavior of EMAs:
• 📈 Pointing Up
• 📉 Pointing Down
• 🔄 Crossing Up/Down
• ➡️ Lateral
• Instant Alerts
Alerts fire the moment a trend flips on any timeframe, keeping you ahead of market shifts.
• Optional Chart EMAs
Toggle on/off the fast and slow EMAs on your active chart for extra clarity.
⸻
🧠 Use Case Examples
• Confirm trades with alignment across multiple timeframes
• Spot early trend reversals with crossing behavior
• Add a higher-timeframe filter to your scalping system
• Monitor key EMAs without changing your chart timeframe
⸻
⚙️ Configuration
• EMA lengths and sideways threshold are fully adjustable
• Enable/disable chart overlays for EMAs
• Table dynamically updates in real time
⸻
💡 Pro Tip: Use this indicator alongside your entry strategy to only trade in the direction of the dominant trends.
⸻
CBA Block Tops/Bottoms w/TableHow It Works
Separate Block Sizes & Pre-Calculations: • Two inputs let you set the TOP block size and the BOTTOM block size independently (default both 5). • The script pre-calculates the highest high over the TOP block and the lowest low over the BOTTOM block using ta.highest and ta.lowest.
Horizontal Line Customization: • Users can toggle each horizontal line on or off (via showTopLine and showBottomLine). • Colors, widths, and line styles (Solid, Dotted, or Dashed) for TOP and BOTTOM lines are customizable with separate inputs. • When a block ends, if the corresponding line is enabled, a horizontal line is drawn using the user‑selected parameters.
Array Storage and Averaging: • The script appends each block’s TOP value to the tops array and each BOTTOM value to the bottoms array, keeping their sizes to a maximum defined by the lookback (default 25). • A helper function, f_avg(), safely computes the average of the array values.
Table Display: • A table is created with three columns: an index column (with fixed labels “Active”, “Prev”, “Prev-2”, “Prev-3”, “Prev-4”, “Avg”), a TOP column, and a BOTTOM column. • The first five rows display the most recent TOP and BOTTOM signals (“Active” being the most recent), and the final row shows the average values.
This code gives you full control over both the TOP and BOTTOM block calculations and the appearance of their horizontal lines, all while presenting the data in an informative table.
ROC with closed based coloring & info table [DB]Rate of Change (ROC) Basics
The Rate of Change (ROC) is a momentum oscillator measuring the percentage price change between the current close and the close from N periods ago.
Calculated as: ROC = * 100
Traders use ROC to:
Identify overbought/oversold conditions
Spot momentum shifts
Confirm trend strength
My improvements:
Visual Clarity
Color-Coded Direction: ROC line changes color (green/red/yellow) based on intra-candle momentum shifts.
Direction Table: Instant view of the last change in ROC with the candle close (▲ UP / ▼ DOWN / ▶ FLAT).
Cells for current value and previous change between timeframe bar period.
What you can benefit with this over the regular ROC:
Faster Analysis: The visual cues make direction and strength instantly obvious and it allows for faster decision making while preserving more mental capital.
