SAFE MARGINE_OSHi dear Investors!
Here I present you my last prepared indicator that works with searching on the most visited prices in a period. It also take an average of them which is described here as balance line.
Inputs:
+BACKWARD: range of your search area on history from current moment.
+MEMORY: number of memory stacks that would be used to save previous calculated values for taking an average.
+REFRESH: this parameter is in mili-seconds and describe saving data in memory stacks.
+METHODOLOGY:
++OC-BASED: OPEN/CLOSE would be used for calculations
++HL-BASED: HIGH/LOW would be used for calculations
++MID-BASED: HL2/OHLC4 would be used for calculations
Please do not forget to 'BOOST' the script if you use it!
Happy trading!
PlanB4.
Statistics
Financial Data Spreadsheet [By MUQWISHI]The Financial Data Spreadsheet indicator displays tables in the form of a spreadsheet containing a set of selected financial performances of a company within the most recent reported period. Analyzing Financial data is one of the classic methods to evaluate whether the company’s stock price is overvalued or undervalued based on its income statement, balance sheet, and cash flow statement. This indicator might be practical to investors to collect needed data of a company to analyze and compare it with other companies on a TradingView chart or print it in spreadsheet form.
█ OVERVIEW
█ BEST PRACTICES
Due to strict limitations on calling request.financial() function, I tried to develop the table with the best ways to be more dynamic to move and the ability to join multiple tables into a spreadsheet. Users can add up to 20 instruments and 2 financial metrics per table. However, it’s possible to add many tables with other financial metrics, then connect them to the main table.
Credits: The idea of joining multiple tables inspired by @QuantNomad Screener for 40+ instruments
█ INDICATOR SETTINGS
1- Moving Table toward right-left up-down from its origin.
2- Hiding Column Title checkmark. Useful for adding a joined table underneath with additional instruments.
3- Hiding Instruments Title checkmark. Useful for adding a joined table on the right with other financial metrics.
4- Shade Alternate Rows checkmark. I believe it’ll make the table easier to read.
5- Selecting Financial Period. (Year, Quarter).
6- Entering a currency.
7- Choosing a financial ID for each column. There’re over 200 financial IDs. Source: What financial data is available in Pine? — TradingView
8- Optional to highlight values in between.
9- Entering the ticker’s symbol with the ability to activate/deactivate.
█ TIP
For best technical performance, use the indicator in a 1D timeframe.
Please let me know if you have any questions.
Thank you.
Open Interest Denominated in QuoteOpen Interest indicator in TradingView doesn't have option to denominate in quote, so I made one.
TechnicalRating█ OVERVIEW
This library is a Pine Script™ programmer’s tool for incorporating TradingView's well-known technical ratings within their scripts. The ratings produced by this library are the same as those from the speedometers in the technical analysis summary and the "Rating" indicator in the Screener , which use the aggregate biases of 26 technical indicators to calculate their results.
█ CONCEPTS
Ensemble analysis
Ensemble analysis uses multiple weaker models to produce a potentially stronger one. A common form of ensemble analysis in technical analysis is the usage of aggregate indicators together in hopes of gaining further market insight and reinforcing trading decisions.
Technical ratings
Technical ratings provide a simplified way to analyze financial markets by combining signals from an ensemble of indicators into a singular value, allowing traders to assess market sentiment more quickly and conveniently than analyzing each constituent separately. By consolidating the signals from multiple indicators into a single rating, traders can more intuitively and easily interpret the "technical health" of the market.
Calculating the rating value
Using a variety of built-in TA functions and functions from our ta library, this script calculates technical ratings for moving averages, oscillators, and their overall result within the `calcRatingAll()` function.
The function uses the script's `calcRatingMA()` function to calculate the moving average technical rating from an ensemble of 15 moving averages and filters:
• Six Simple Moving Averages and six Exponential Moving Averages with periods of 10, 20, 30, 50, 100, and 200
• A Hull Moving Average with a period of 9
• A Volume-Weighted Moving Average with a period of 20
• An Ichimoku Cloud with a conversion line length of 9, base length of 26, and leading span B length of 52
The function uses the script's `calcRating()` function to calculate the oscillator technical rating from an ensemble of 11 oscillators:
• RSI with a period of 14
• Stochastic with a %K period of 14, a smoothing period of 3, and a %D period of 3
• CCI with a period of 20
• ADX with a DI length of 14 and an ADX smoothing period of 14
• Awesome Oscillator
• Momentum with a period of 10
• MACD with fast, slow, and signal periods of 12, 26, and 9
• Stochastic RSI with an RSI period of 14, a %K period of 14, a smoothing period of 3, and a %D period of 3
• Williams %R with a period of 14
• Bull Bear Power with a period of 50
• Ultimate Oscillator with fast, middle, and slow lengths of 7, 14, and 28
Each indicator is assigned a value of +1, 0, or -1, representing a bullish, neutral, or bearish rating. The moving average rating is the mean of all ratings that use the `calcRatingMA()` function, and the oscillator rating is the mean of all ratings that use the `calcRating()` function. The overall rating is the mean of the moving average and oscillator ratings, which ranges between +1 and -1. This overall rating, along with the separate MA and oscillator ratings, can be used to gain insight into the technical strength of the market. For a more detailed breakdown of the signals and conditions used to calculate the indicators' ratings, consult our Help Center explanation.
Determining rating status
The `ratingStatus()` function produces a string representing the status of a series of ratings. The `strongBound` and `weakBound` parameters, with respective default values of 0.5 and 0.1, define the bounds for "strong" and "weak" ratings.
The rating status is determined as follows:
Rating Value Rating Status
< -strongBound Strong Sell
< -weakBound Sell
-weakBound to weakBound Neutral
> weakBound Buy
> strongBound Strong Buy
By customizing the `strongBound` and `weakBound` values, traders can tailor the `ratingStatus()` function to fit their trading style or strategy, leading to a more personalized approach to evaluating ratings.
Look first. Then leap.
█ FUNCTIONS
This library contains the following functions:
calcRatingAll()
Calculates 3 ratings (ratings total, MA ratings, indicator ratings) using the aggregate biases of 26 different technical indicators.
Returns: A 3-element tuple: ( [(float) ratingTotal, (float) ratingOther, (float) ratingMA ].
countRising(plot)
Calculates the number of times the values in the given series increase in value up to a maximum count of 5.
Parameters:
plot : (series float) The series of values to check for rising values.
Returns: (int) The number of times the values in the series increased in value.
ratingStatus(ratingValue, strongBound, weakBound)
Determines the rating status of a given series based on its values and defined bounds.
Parameters:
ratingValue : (series float) The series of values to determine the rating status for.
strongBound : (series float) The upper bound for a "strong" rating.
weakBound : (series float) The upper bound for a "weak" rating.
Returns: (string) The rating status of the given series ("Strong Buy", "Buy", "Neutral", "Sell", or "Strong Sell").
Monthly ReturnsDisplays monthly and yearly returns in tabular format along with maximum, minimum, average returns and standard deviations.
This uses boxes to build the table and as maximum boxes that could be used is 500, it displays up to 32 years of returns. However, for maximum, minimum, average and standard deviation calculations, it uses data from all months since inception.
This requires timeframe to be set to one month (1M). Cell widths correspond to years. For the first year, cell widths may be shorter and there could be overlap of numbers as nothing could be drawn before the first bar.
Provide sufficient space for the table to render properly. Zooming out or less space may lead to overlapping of numbers.
Position Size ToolUpdated - Version 2
This tool is used to calculate the size of a trade.
Settings - Type in total account size and % of capital that can be risked on each trade.
The table will display:
Column 1 - Stop placement based on low, mid or high value of the current candle.
Column 2 - Percent risk on the trade.
Column 3 - Amount of shares that can be traded (calculated from account size, risk and selected stop placement).
Green color is intended for long position, stop at the low of the candle.
Red color is intended for short position, stop at the high of the candle.
Middle value can shift between either color since its measured from open to close.
AlexD Market annual seasonalityThe indicator displays the percentage of bullish days with a given date over several years.
This allows you to determine the days of the year when the price usually goes up or down.
Indicator has a built-in "simple moving average" shifted back by half a period, due to which the delay of this smoothing is removed.
Z-Score Buy and Sell SignalsHello everyone!
Happy Holidays, Merry/Happy Christmas!
Here is my Christmas gift to you to show my appreciation of your support and engagement over the past year!
This is the Z-Score Buy and Sell Signal indicator!
How it works:
It works by looking at the Z-Score of an equities close price and looking for previous areas over reversals over the defined period of time.
It also looks at areas that are overbought or oversold (manifested by Z-Scores greater than or less than 2 Standard Deviations away) and displays them as bar colour changes.
Historic reversals are signaled with buy and/or sell signals.
Oversold is signaled with a green bar colour change (colour can be customaized).
Overbought is signaled with an orange bar colour change.
How to use it:
You can use it with support resistance or other indicators. You can use this on both the larger and small timeframes, depending on the style of trader you are.
You can modify the input length to look back on shorter or longer periods.
As a general rule from my experience using it, if you are using the shorter timeframes (i.e. 1 minute tfs), its best to look back between 50 and 75 candles for most equities.
If you are looking at the larger timeframes (i.e. Daily, 1 to 2 hour, etc.) its best to set the input value to between 500 to 800.
But, as always, you should check to ensure the indicator is providing correct signals by reviewing the previous signals to ensure that they adequate identified reversals.
It is also best not to use this alone as your sole indicator. It is meant to be supplementary to other indicators/support resistance/chart patterns you are using to guide your trades. This will not replace good TA and a good understand of the stock and its likely trajectory.
As always, please feel free to share your comments/feedback/questions and recommendations below.
As always, I do customary tutorial videos for my indicators, so please see below for an in-depth video tutorial should you want to see it in action:
Otherwise, happy holidays everyone! And all of the best over this Christmas weekend to you and your loved ones!
Multi-Polar WorldA new macro analysis tool for easily analyzing the multi-polar world's economic powerhouses / spheres of influence, making for an easy to use visual when comparing a number of statistics:
GDP, GDP per Capita, External Debt, Government Debt, Exports, Imports, Gold Reserves, Employed Persons, Military Expenditure, Population, Bank Lending Rate, Balance of Trade, Central Bank Balance Sheet, M2 Money Supply, and CPI . Includes option to provide the total for each pole, or view individually for more detailed comparison. Meant to be used when analyzing the macro-economic conditions/trends in conjunction with other "Big Picture" type indicators when adjusting your macro framework.
Seasonal tendency: week-on-week % change and 10yr Averages-shows week-on-week % change, and 10yr averages of these % changes
-scan across the 10yr averages to get a good idea of the seasonality of an asset
-best used on commodities with strong seasonal tendencies (Gold, Wheat, Coffee, Lean hogs etc)
-works only on daily timeframe
-by default it will compare SMA(length) in the following way, BTC: Sunday cf previous Sunday | ES/Gold: Monday cf previous Monday
-for most assets, 5 daily bars in a week (SMA(5)) => that's the default. For BTC can change this to 7.
~~inputs:
-change input year to show any previous decade of asset's history; the table will display over that year on the chart
-choose expression for Average of % change week on week: SMA, ohlc4, vwma, vwap (default SMA)
-choose number of daily bars in a week (i.e. SMA length)
-change label sizes/colors
~~notes:
-When applied to current year: will print the 10yr average for previous weeks in the year; 9yr average for future weeks in the year
-drawings and SMA plot on the above chart are just to show visually how the week's average is calculated, and how this lines up with the label
-current week of year will highlight in large font orange by default
-the first 2 weeks of the year are omitted because of a bug i can't figure out, which throws out bad numbers.
-cannot print all the values for each of previous 10yrs; 'code too long' error. Could likely do this via using matrices but would require a rewrite
17th Dec 2022
@twingall
Economic Calendar Events NickShows Economic Events for possible trade setups. Different events like GOP and CPI. It also works in a way if you want to avoid a trade based on the news.
Signal AnalyzerThis library contains functions that try to analyze trading signals performance.
Like the % of average returns after a long or short signal is provided or the number of times that signal was correct, in the inmediate 2 candles after the signal.
Trend Finder with Coefficient of VariationCoefficient of variation (“COV”) is a statistical measure used to describe the variability of values within a data set, it’s calculated by taking the standard deviation divided by the mean.
Traditionally, COV is applied to the expected returns of competing investment portfolios. A risk adverse investor prefers to accept a portfolio with a relatively lower COV value.
On the other hand, when applying COV to price charts, the difference is that instead of looking at expected returns, we now treat price as the source of data. We look at price from a moving average perspective. This script purely focuses on price.
What this indicator does:
Firstly, to go over the parameters:
Let ‘n’ be the lookback period for computing COV, and ‘m’ be the period for comparing the ranking of COVs.
Logics in a nutshell:
This program will (A) calculate the COV by dividing the moving standard deviation by moving average over ‘n’ bars, and then (B) illustrate the relationship of how COV at each bar ranks compared to COVs over past ‘m’ bars. We use a color scale (default black and yellow) for visualizing ranking in terms of percentiles. If COV is below its median value, then we assume that price is consolidating.
Hypothesis:
Using COV on top of regular SMA signals should reduce a lot of unwanted noise such as consecutive crossovers during ranging-periods. Traders want volatility, but not too much of it when sniping for entry opportunities (speaking of initial position; need to add to winning positions after, but this is for another topic). For this reason, the median value of COV is suitable as a metric for signals.
Applications:
We use the median value of COV to form a decision rule. A signal is generated when COV > median(COV,m), and the direction of trend is determined based on relative position of price with respect to sma(price,n). When the value of COV is increasing, it can also be thought of seeing Bollinger Bands beginning to bulge. When trends begin, this program will plot triangles to signify entry opportunities.
Sessions [LuxAlgo]This indicator shows when user set sessions are active and returns various tools + metrics using the closing price within active sessions as an input. Users have the option to change up to 4 session times.
The indicator will increasingly lack accuracy when the chart timeframe is higher than 1 hour.
Settings
Sessions
Enable Session: Allows to enable or disable all associated elements with a specific user set session.
Session Time: Opening and closing times of the user set session in the hh:mm format.
Range: Highlights the associated session range on the chart.
Trendline: Returns the associated session trendline on the chart.
Mean: Returns the associated session mean average on the chart.
VWAP: Returns the associated session volume weighted average price on the chart.
Ranges Settings
Range Area Transparency: Transparency of the area highlighting sessions ranges.
Range Outline: Highlights the borders of the session range area.
Range Label: Shows the session label at the mid-point of the session interval.
Dashboard
Show Dashboard: Enables sessions dashboard on the chart.
Advanced Dashboard: Returns more information regarding user set sessions on the dashboard.
Dividers
Show Session Divider: Highlights active sessions using intervals on the bottom of the chart (this can lead to less responsive charts)
Show Daily Divider: Highlights days on the chart.
Usage
This tool is versatile and allows the user to perform a wide variety of tasks all focusing on highlighting and analyzing price movements within a specific user set session in a periodic fashion.
Significant forex trading sessions are used by default, but the users are free to choose the opening and closing time of their choices.
Using ranges can indicate which sessions returned the most volatile price movements.
Trendlines can be useful to estimate the underlying trend of a specific session, but they can also offer a quick way to see which session started a trend reversal.
The session Mean highlights the equilibrium level within a session, extrapolating these levels can provide potential support and resistances levels of interest.
Finally, users can use the sessions VWAP's for real time applications, using them as trailing supports and resistances.
Using The Advanced Dashboard
The advanced dashboard returns useful information regarding the user set sessions. Each dashboard elements are described below:
Status: Highlights whether the user set session is active (open) of inactive (closed).
Trend: Shows correlation coefficient between the session prices and a linear sequence of values. Values above 0 indicates an up-trending session, while values under 0 indicates a down-trending session. Values closer to (1, -1) indicates a more trending session.
Volume: Shows accumulated volume within the session
σ (Standard Deviation): Shows standard deviation of the session, while this value is not bounded it can be useful to compare it with the other ones to see which session was the most volatile.
Note that when a session becomes inactive the value on the dashboard will hold until the specific session becomes active again.
Index_and_Commodity_PricesThis indicator shows real-time current day-to-day performance of 18 different indices and commodities . Here is the list of different sector ETFs that this indicator tracks
/////INDEX//////
1. BİST-100 - XU0100 - TR- Index
2. BİST-30 - XU030 - TR - Index
3. VİOP-30 - XU030D1! - Index
4. DJI - Dow Jones - Index
5. DAX - DAX Index
6. VIX - Volatilite S&P Index
//////FOREX MARKET/////
7. DXY - U.S. Dollar Index
8. EURUSD -
9. BTCUSD -
10. XAUUSD -
11. XAGUSD -
//////COMMODITY///////
12. BR1! - Brent
13. NG1! - Natural Gas
14. HRC1! -
15. ZW1! -
16. HG1! -
17. DJUSCL -
///////OTHER///////
18. US10Y -
Fixed Quantum CDVWe took the original script Cumulative delta volume from LonesomeTheBlue, here is the link:
To understand the CDV you can watch traders reality master class about CDV.
This indicator show the ratio of vector color and the ratio of the cumulative delta volume from vector color.
First you select a date range on the chart. Then it calculate all candles in that region. Let's say there is 3 green vectors and 3 red vectors in the region, the ratio of vector color will be 50% for bull and 50% for bear vector. As for the CDV ratio, it will measure the total CDV inside green vector and total CDV inside red vector and make a ratio. But it is a little different.
I twisted the calculation for the ratio of CDV a little bit to make it more comprehensive in the table. Since it's the ratio of the CDV for the bull candles versus the bear candles, the CDV is almost always a positive number for the bull candles and almost always a negative number for the bear candle. So I calculated the bear CDV as a positive number. Formula: Bull_CDV_ratio = Bull_CDV / (Bull_CDV + Bear_CDV), Bear_CDV_ratio = -Bear_CDV / (Bull_CDV - Bear_CDV).
Note that when the bull CDV and bear CDV are both a positive number or both a negative number, the ratio percentage can be over 100% and under 0%. It means that we expect volatility.
Enjoy!
Fixed Quantum VectorSelect a zone to analyse the vectors.
This screener show the ratio of the bullish and bearish candle vector and on volume.
Slide the white bar to choose your sample size or you can enter the date.
Click label to hide start calculation and end calculation.
- Happy trading
Position Sizing CalculatorThis script calculates the position size base on the stop loss price, entry price, and the percent of equity willing to risk.
Formula:
(Asset Quantity) = (Amount Risk at Trade) / (Price Difference Between Entry Price and Stop Loss)
or
Position size = (% Equity at Risk) * (Equity) / (Entry Price - Stop Loss Price)
Outliers Detector with N-Sigma Confidence Intervals (TG fork)Display outliers in either value change, volume or volume change that significantly deviate from the past.
This uses the standard deviation calculation and the n-sigmas statistical rule of significance, with 2-sigma (a value of 2) signifying that the observed value is stronger than 95% of past values, and 3-sigma 98.5% of past values, and so on for higher sigma values.
Outliers in price action or in volume can indicate a strong support for the move, and hence potentially more moves in the same direction in the future. Inversely, an insignificant move is less likely to be supported. And of course the stronger, the more support.
This indicator also doubles as a standard volume indicator if volume is selected as the source, but with the option of highlighting outliers.
Bars below significance can be uncolored (gray) to unclutter the visuals.
Differently to almost all other similar indicators, the background highlighting is dynamical, so that all values will be highlighted differently, not just 2-sigma or 3-sigma, but also 4-sigma, 5-sigma, etc, with a different value of transparency.
The dynamical transparency value can be calculated in two ways: either statically proportionally to the n-sigma but capped at 10-sigma, or either as a ratio relative to the highest observed sigma value over the defined lookback period (default: 300).
If you like this indicator, which is an extension of previously published indicators, please give some love to the original authors:
* tvjvzl :
* vnhilton :
This extension, authored by Tartigradia, extends tvjvzl's indi, implements vnhilton's idea of highlighting the background, and go further by adding dynamical background highlighting for any value of sigma, add support for volume and volume change (VolumeDiff) as inputs, add option to uncolor insignificant bars, allow plotting in both directions and more.
True Range Outlier Detector (TROD)True Range Outlier Detector (TROD) shows you weather or not a candle is larger than normal. This works by taking the normalized true range and if the candle exceeds a score of 0.5 or -0.5 it triggers the outlier detection. This is great for building strategies if you want to refrain from buying larger than normal up or down ticks. The only feature is the ability to change the lookback period of the normalization. I hope you find this as useful as I do!
Enjoy!
Grid Strategy Back Tester (Long/Short/Neutral)Preface
I'd like to send a thank you to @xxattaxx-DisDev.
The 'Line' Code, which was the most difficult to plan the Grid Indicator, was solved through the 'Grid Bot Simulator' script of @xxattaxx-DisDev.
A brief description of the indicators
These indicators are designed for backtesting of grid trading that can be opened on various exchanges.
Grid trading is a method of selling at particular intervals as prices rise and fall for gird interval price range.
This indicator is actually designed to see what the Long / Short / Neutral grid has achieved and how much it has achieved over a given period of time.
How to use
1. Lower Limit and Upper Limit are required when putting indicators on the chart.
After that, choose the 'Time' when to open the grid.
Also, select Long / Short / Neutral direction if necessary.
2. Statistics Table
Matched Grid shows how many grid pairs were engaged during the backtesting period.
The Daily Average Matching Profit is calculated based on the number of these closed grids.
Total Matching Profit is calculated as Matching Grid * Per Matching Profit.
Position Profit/Loss shows the benefits and losses from your current position.
Total Profit/Loss is sum of Total Matching Profit and Position Profit/Loss.
The Expanded APY shows the benefits of running the strategy on these terms for a year.
Max Loss of Upper is the maximum loss assumed to be directly at the top of the grid range.
BEP days (Upper) show how many days of maintenance relative to Average Matching Profit can result in greater profit than maximum loss if the grid continues to move within range.
(In the case of Long Strategy, it appears to be 'Min Profit', which shows minimal benefit if it reaches the top.)
Max Loss of Lower and BEP days (Lower) shows the opposite.
(In the case of Short Strategy, it is also referred to as 'Min Profit', which shows minimal benefit if it reaches the bottom.)
3. Grid Info
Total Grid Number, Upper Limit, and Lower Limit show the values you set in INPUT.
Grid Open Price shows the price for the period you decide to open.
Starting Position shows the number of positions that were initially held in the case of a Long / Short Strategy.
(0 for Neutral Strategy)
Per Grid qty shows how many positions are allocated to one grid
Grid Interval shows the spacing of each grid.
Per Matched Profit shows how much profit is generated when a single grid is matched.
Caution
Backtesting results for these indicators may vary depending on the time frame.
Therefore, I recommend that you use it only to compare Profit/Loss over time.
*In addition, there is a problem that all lines in the grid are not implemented, but it is independent of the backtest results.
--------------------------------------
서문
지표를 기획함에 있어서 가장 어려웠던 line 코드를 @xxattaxx-DisDev의 'Grid Bot Simulator' 스크립트를 통해 해결할 수 있었습니다.
이에 감사의 말씀을 드립니다.
해당 지표에 대한 간단한 설명
해당 지표는 다양한 거래소에서 오픈할 수 있는 그리드 매매에 대한 백테스팅을 위해 만들어졌습니다.
그리드매매는, 특정 가격 구간에 대해 가격이 오르고 내림에 따라 일정 간격에 맞춰 매매를 하는 방식입니다.
이 지표는 실질적으로 롱/숏/중립 그리드가 어떠한 성과를, 특정 기간동안 얼마나 냈는지를 확인하고자 만들어졌습니다.
사용방법
1. 인풋
지표를 차트위에 넣을 때, Lower Limit과 Upper Limit이 필요합니다.
그 후 그리드를 언제부터 오픈할 것인지를 선택하세요.
또, 필요하다면 Long / Short / Neutral의 방향을 선택하세요.
2. 그리드 통계
Matched Grid는, 백테스팅 기간동안 체결된 그리드 쌍이 몇개인지를 보여줍니다.
이 체결된 그리드의 갯수를 바탕으로 Daily Average Matched Profit이 계산됩니다.
Total Matched Profit은, Matched Grid * Per Matched Profit으로 계산됩니다.
Position Profit/Loss는, 현재 갖고 있는 포지션으로 인한 이익과 손실을 보여줍니다.
Total Matched Profit과 Position Profit/Loss를 합친 금액이 Total Profit/Loss가 됩니다.
Expcted APY는, 이러한 조건으로 전략을 1년동안 운영했을 때의 이익을 보여줍니다.
Max Loss of Upper는, 그리드 범위의 최상단에 바로 도달했을 경우를 가정한 최대 손실입니다.
BEP days(Upper)는, 그리드가 범위 내에서 계속 움직일 경우, Average Matched Profit을 기준으로 며칠동안 유지되어야 최대손실보다 더 큰 이익이 발생할 수 있는지를 보여줍니다.
(Long Strategy의 경우, ‘Min Profit’이라고 나타나는데, 최상단에 도달했을 경우 최소한의 이익을 보여줍니다)
Max Loss of Lower는 그 반대의 경우를 보여줍니다.
(Short Strategy의 경우, 역시 ‘Min Profit’이라고 나타나는데, 최하단에 도착했을 경우 최소한의 이익을 보여줍니다)
3. 그리드 정보
그리드 갯수, Upper Limt, Lower Limt은 자신이 설정한 값을 보여줍니다.
Grid Open Price는, 자신이 오픈하기로 정했던 기간의 가격을 보여줍니다.
Starting Position은, 롱/숏 그리드의 경우에 처음에 들고 시작했던 포지션의 갯수를 보여줍니다.
Neutral Strategy의 경우 0입니다.
Per Grid qty는, 하나의 그리드에 얼마만큼의 포지션이 배분되었는지를 보여주며
Grid Interval은 각 그리드의 간격을 보여줍니다.
또, Per Matched Profit은 하나의 그리드가 체결될 때 얼마만큼의 이익이 발생하는 지를 보여줍니다.
이러한 지표에 대한 역테스트 결과는 시간 프레임에 따라 달라질 수 있습니다.
따라서 시간 경과에 따른 손익을 비교할 때만 사용하는 것이 좋습니다.
*추가로, 그리드의 라인이 모두 구현되지 않는 문제가 있지만, 백테스팅 결과와는 무관합니다.
Correlation Convergance Divergance (CCD)Hello Traders !
[/bIntro :
Correlation Convergance Divergance (CCD) is a statistic based trend analysis indictor that uses long run and short run correlation averages to determine the stregth of two assets linear association, and bounded average percent change to determine the underpromering reltaive assets.
Rational & "Motivating Idea" :
The motivating idea is that "if two assets are in general historicaly posativley correlated (Their OHLC prices tend to move in one direction) if their correlation deviates this is a high probabality mean reverting buy opportunity for the unederproferming asset" - which is determined buy a divergance of thier standardiesed delta (Percent chnage). i.e. the reltive assets average percent change(red columns) is decreasing relative to the reffernace markets avearge percent change (green columns). note the green and red columns act just like RSI.
Divergances :
These are highlighted buy the yellow columns, As explianed above these are theoreticaly good buy opportunities.
Key Options & Inputs :
* Market Timeframe reselution :
The timeframe of which price data e.g closing prices is sourced for both markets. THIS MUST BE CHANGED TO THE CURRENT TIMFRAME RESULTION.*
* Reffrerance & Relative symbol percenet avergae lookback :
For both sr (short run) correlation averages and Reffrerance & Relative symbol percenet avergaes to start at the same bar this must equal lookback cov lookback + correlation avg lookback
Hope You Enjoy !
TSG's Binance Round NRs - only for BTCThis is good real-time / scalp indicator for those scalping Bitcoin.
It is based solely on Binance's BTCUSDT Perpetuals, but can be used on any BTCUSD pair as I am requesting info directly from Binance's chart.
IDEA
I have spotted that many times, round nrs (most likely caused by algo-trading) mark a top / bottom on a trend. Many times have catched extremes because of this technique and I have now coded it into an indicator on TradingView.
Feel free to test it out - It's not a 100% strategy - but if you spot round nrs around confluences - your odds go up big time.
SETUP
You are able to set the amount of candles you want to search for - default is 20.
Ofcourse we look only for extremes, therefore it will only look for extreme highs and lows within the amount of candles of your input.
HOW TO READ IT
The indicator will mark only the last High and Low matching the criteria - above and below the candle with the price number.
Good luck!
