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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
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bitmexstorm의
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
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bitmexstorm의
5
Crypto Map Dashboard v1.0🔰Overview Charts are an essential part of working with data, as they are a way to condense large amounts of data into an easy to understand format. Visualizations of data can bring out insights to someone looking at the data for the first time, as well as convey findings to others who won’t see the raw data. There are countless chart types out there, each with different use cases. Often, the most difficult part of creating a data visualization is figuring out which chart type is best for the task at hand. What are the types of metrics, features, or other variables that you plan on plotting? Although it depended on some multiple factors! But my choices of the chart type for this Crypto datas was Pie chart or Donut char for crypto dominances ,and Colum (Bar) chart for Total MarketCaps . The audiences that I plan on presenting this for them could be all tradingviewrs , especially crypto lovers ,or those who just aim to have an initial exploration for themselves ,like me! so this indicator mostly could be an educational indicator script for pine coders ! We can use the " Crypto Map Dashboard " indicator to Get an quick overview of the crypto market and monitor where the smart money Flow changing by comparing the dominances and totals Caps . In general, it consists of 4 parts: ✅1 =>> Table1 : If you like to see and compare and monitor the changes of dominances of (Bitcoin, Ethereum, Usdt , Usdc , etc.) and their market cap in different times you can see the table on The upper-right corner. ✅2 =>> Table2: Also, in the table lower-right corner, you can see the changes of the totals(Total, Total2 , Total3 and TotalDefi) in the same time periods. ✅3 =>> pie chart or donut chart: By viewing this , you understand better about Table1 Datas, that it depicts exactly how Dominance is distributed and specialized. ✅4 =>> column chart (bar chart) : And in the last you can clearly compare the total marketcaps and see how far they are from their ATHs. You also can even notice the entry and exit of liquidity from the crypto market! I must also mention that I am definitely still a beginner compared to more experienced pine coders, and there may be some bugs in my codes and calculations, but I am an open person and I welcome your comments ,Also Let me know if you have any questions. Lots of Love to all tradingviewers and pineCoder ,Cheers!💚❤️💙
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PRO_SMART_Trader의
1
Fed Net Liquidity Indicator (24-Oct-2022 update)This indicator is an implementation of the USD Liquidity Index originally proposed by Arthur Hayes based on the initial implementation of jlb05013, kudos to him! I have incorporated subsequent additions (Standing Repo Facility and Central Bank Liquidity Swaps lines) and dealt with some recent changes in reporting units from TradingView. This is a macro indicator that aims at tracking how much USD liquidity is available to chase financial assets: - When the FED is expanding liquidity, financial asset prices tend to increase - When the FED is contracting liquidity, financial asset prices tend to decrease Here is the current calculation: Net Liquidity = (+) The Fed’s Balance Sheet (FRED:WALCL) (-) NY Fed Total Amount of Accepted Reverse Repo Bids (FRED:RRPONTTLD) (-) US Treasury General Account Balance Held at NY Fed (FRED:WTREGEN) (+) NY Fed - Standing Repo Facility (FRED:RPONTSYD) (+) NY Fed - Central Bank Liquidity Swaps (FRED:SWPT)
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PragmaticMonkey의
2
ILM COT Financial Table - CFTCUse this indicator on Daily Timeframe Please refer to the below link for CFTC Financials www.cftc.gov This script shows the Financial COT for the respective instrument by deriving the CFTC code. Option is provided to override the CFTC code User can also configure the historical CFTC data view The script calculates the Long% vs Short% for various categories (Dealers/Asset Managers/Leveraged Funds/Other Reportables) and color codes the column appropriately. The goal of this script is to show all the financial CFTC data on a single page to digest the data better in a tabular form Fixed the default TradingView Library which has some errors with CFTC code mapping. For example, SPX CFTC Code #13874+ which is the most important one where big players take positions is not there in the default Library.
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ILuvMarkets의
4
Correlation ZonesThis indicator highlights zones with strong, weak and negative correlation. Unlike standard coefficient indicator it will help to filter out noise when analyzing dependencies between two assets. With default input setting Correlation_Threshold=0.5: - Zones with correlation above 0.5, will be colored in green (strong correlation) - Zones with correlation from -0.5 to 0.5 will be colored grey (weak correlation) - Zones with correlation below -0.5 will be colore red (strong negative correlation) Input parameter "Correlation_Threshold" can be modified in settings. Provided example demonstrates BTCUSD correlation with NASDAQ Composite . I advice to use weekly timeframe and set length to 26 week for this study
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dkaravaev의
Kendall Rank Correlation Coefficient (alt)This is a non-parametric correlation statistical test, which is less sensitive to magnitude and more to direction, hence why some people call this a "concordance test". This indicator was originally created by Alex Orekhov (everget), if you like this one, please show the original author some love: This version is extended by tartigradia (2022) to make it more readily useable: * Update to pinescript v5 * Default compare to current symbol (instead of only fixed symbols) * Add 1.0, 0.0 and -1.0 correlation levels lines. This indicator plots both the Kendall correlation in orange, and the more classical parametric Pearson correlation in purple for comparison. Either can be disabled in the Style tab.
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tartigradia의
Three Linear Regression ChannelsPlot three linear regression channels using alexgrover 's Computing The Linear Regression Using The WMA And SMA indicator for the linear regression calculations. Settings Length : Number of inputs to be used Source : Source input of the indicator Midline Colour : The colour of the midline Channel One, Two, and Three Multiplicative Factor : Multiplication factor for the RMSE, determine the distance between the upper and lower level Channel One, Two, and Three Colour : The channel's lines colour Usage For usage details, please refer to alexgrover 's Computing The Linear Regression Using The WMA And SMA indicator.
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Fuwn의
1
Multi-Optimized Linear Regression ChannelA take on alexgrover 's Optimized Linear Regression Channel script which allows users to apply multiple linear regression channel with unique multiplicative factors. Multiplicative Factors Adjust the amount of channels and multiplicative factors of existing or additional channels using the "Mults" input. An input of "1" creates a single linear regression channel with the multiplicative factor of one. An input of "4" creates a single linear regression channel with the multiplicative factor of four. An input of "1,4" creates two linear regression channels with multiplicative factors of one and four. An input of "1,2,3" creates three linear regression channels with multiplicative factors of one, two, and three.
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Fuwn의
2
AmitN STDEV V5Often, a trader would like to predict the range for the next certain amount of period. This is useful for doing short strangles, Iron Fy, Iron Condor strategies. This script calculates the price range for the next 'X' number of candles on the given timeframe based on Standard Deviation formulae. It gives this range on 1 standard deviation and 2 standard deviations. ----------------------------------------------------------- 1SD Range : Probability of expiry in that range is 68 % 2SD Range : Probability of expiry in that range is 95 % ----------------------------------------------------------- From the settings, you can choose the "lookback" period which is used to calculate the next price prediction based on those many candles. The range is plotted in the form of lines. It marks the range and also the difference between spot and the range-value.
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amitni82의
Market Beta/Beta Coefficient for CAPM [Loxx]Market Beta/Beta Coefficient for CAPM is not so much an indicator as it is a value to be used in future indicators to forecast stock prices using the Capital Asset Pricing Model, CAPM. CAPM is used by the likes of value investors such as Warren Buffet and valuation/accounting/investment banking firms. More specifically, CAPM is typically used in Discounted Cashflow Analysis to value revenue generating assets. What is Beta? In finance, the beta (β or market beta or beta coefficient) is a measure of how an individual asset moves (on average) when the overall stock market increases or decreases. Thus, beta is a useful measure of the contribution of an individual asset to the risk of the market portfolio when it is added in small quantity. Thus, beta is referred to as an asset's non-diversifiable risk, its systematic risk, market risk, or hedge ratio. Beta is not a measure of idiosyncratic risk. By definition, the value-weighted average of all market-betas of all investable assets with respect to the value-weighted market index is 1. If an asset has a beta above (below) 1, it indicates that its return moves more (less) than 1-to-1 with the return of the market-portfolio, on average. In practice, few stocks have negative betas (tending to go up when the market goes down). Most stocks have betas between 0 and 3. How to calculate Beta To calculate beta you typically choose 5 years of monthly data; typically SPY is used here Calculate log returns of both the asset for which you are calculating Beta and the benchmark market data Calculation the covariance between the asset and benchmark Calculate the variance of the benchmark returns Divide the covariance by the variance Read more here: en.wikipedia.org(finance) en.wikipedia.org einvestingforbeginners.com
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loxx의
2
Candle wick averageThis tool shows all 4 values: (Candle chart can describe the size) - Average wick length below It is calculated as the length of the candle wick under the rising candlestick. calculated average (AVG) and Standard Deviation (STDEV). plot on the chart at the current bar using (open price ) - (average + STDEV ). - Average wick + average body above(high - open) is calculated from the upper wick and upper body wick length of the rising candle. take Average (AVG) and standard deviation (STDEV). plot on the chart at the current bar using (open price) + (average + 2*STDEV) - The other 2 values ​​are calculated in the same way. But using the data of the candlestick that the price has moved down. Usage example - Use the average of the lower wick length to determine the SL for buy order. - Use the average wick length and the candle above to set the TP for buy order. - The other 2 values use in the same way for sell order
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Linux_ID의
Correlation with P-Value & Confidence Interval (alt)Shows the Pearson correlation between two symbols, including statistical significance test. This is a fork of the original script by Balipour, with the addition of EMA that can be used instead of SMA in the Pearson correlation as an attempt to capture correlation trend changes more quickly, and conversion to pinescript v5. In the end, the EMA does not help much, for a faster capture of correlation trend changes, another kind of correlation is necessary, such as sign test correlation (another one of my indicators implement this idea). Please show the original indicator's author some love if you appreciate this work:
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tartigradia의
7
BTC's #4 Whale Sells [TheSecretGuy]Hello there ! I have been tracking BTC richests wallets for some time - and one of them seems to be aligning its sells pretty well with what the market is about to do. BTC's Whale #3 (now Whale #4) has been selling his BTC in very crutial moments - therefore I felt that converting this into an indicator will give us a pretty visual feedback of what that Whale expects to happen at a given point. In order to do that, I have listed manually all of his sells (dates) until today and placed a vertical line on the chart on each of these dates. This sadly can't be automated as Pinescript language doesn't allow to reach outter data - I'd need to update this manually. Hope this helps you a bit, Cheers!
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TheSecretsOfTrading의
1
Z Bollinger BandsThis version of Bollinger Bands measures the average volatility. By taking the 75th percentile of the average absolute value of the difference between the Source and the Mean divided by the Standard Deviation and using that as our multiplier for our Bollinger bands we can have a statistically safe trading zone. You notice that its dynamic, this is because it take into account the real volatility levels of a window and uses that to determine an appropriate multiplier. As always I hope you enjoy this release.
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The_Peaceful_Lizard의
3
Candlestick Pattern Criteria and Analysis Indicator█  OVERVIEW Define, then locate the presence of a candle that fits a specific criteria. Run a basic calculation on what happens after such a candle occurs. Here, I’m not giving you an edge, but I’m giving you a clear way to find one. IMPORTANT NOTE: PLEASE READ: THE INDICATOR WILL ALWAYS INITIALLY LOAD WITH A RUNTIME ERROR. WHEN INITIALLY LOADED THERE NO CRITERIA SELECTED. If you do not select a criteria or run a search for a criteria that doesn’t exist, you will get a runtime error. If you want to force the chart to load anyway, enable the debug panel at the bottom of the settings menu. Who this is for: - People who want to engage in TradingView for tedious and challenging data analysis related to candlestick measurement and occurrence rate and signal bar relationships with subsequent bars. People who don’t know but want to figure out what a strong bullish bar or a strong bearish bar is. Who this is not for: - People who want to be told by an indicator what is good or bad or buy or sell. Also, not for people that don’t have any clear idea on what they think is a strong bullish bar or a strong bearish bar and aren’t willing to put in the work. Recommendation: Use on the candle resolution that accurately reflects your typical holding period. If you typically hold a trade for 3 weeks, use 3W candles. If you hold a trade for 3 minutes, use 3m candles. Tldr; Read the tool tips and everything above this line. Let me know any issues that arise or questions you have. █  CONCEPTS Many trading styles indicate that a certain candle construct implies a bearish or bullish future for price. That said, it is also common to add to that idea that the context matters. Of course, this is how you end up with all manner of candlestick patterns accounting for thousands of pages of literature. No matter the context though, we can distill a discretionary trader's decision to take a trade based on one very basic premise: “A trader decides to take a trade on the basis of the rightmost candle's construction and what he/she believes that candle construct implies about the future price.” This indicator vets that trader’s theory in the most basic way possible. It finds the instances of any candle construction and takes a look at what happens on the next bar. This current bar is our “Signal Bar.” █  GUIDE I said that we vet the theory in the most basic way possible. But, in truth, this indicator is very complex as a result of there being thousands of ways to define a ‘strong’ candle. And you get to define things on a very granular level with this indicator. Features: 1. Candle Highlighting When the user’s criteria is met, the candle is highlighted on the chart. The following candle is highlighted based on whether it breaks out, breaks down, or is an inside bar. 2. User-Defined Criteria Criteria that you define include: Candle Type: Bull bars, Bear bars, or both Candle Attributes Average Size based on Standard Deviation or Average of all potential bars in price history Search within a specific price range Search within a specific time range Clarify time range using defined sessions and with or without weekends 3. Strike Lines on Candle Often you want to know how price reacts when it gets back to a certain candle. Also it might be true that candle types cluster in a price region. This can be identified visually by adding lines that extend right on candles that fit the criteria. 4. User-Defined Context Labeled “Alternative Criteria,” this facet of the script allows the user to take the context provided from another indicator and import it into the indicator to use as a overriding criteria. To account for the fact that the external indicator must be imported as a float value, true (criteria of external indicator is met) must be imported as 1 and false (criteria of external indicator is not met) as 0. Basically a binary Boolean. This can be used to create context, such as in the case of a traditional fractal, or can be used to pair with other signals. If you know how to code in Pinescript, you can save a copy and simply add your own code to the section indicated in the code and set your bull and bear variables accordingly and the code should compile just fine with no further editing needed. Included with the script to maximize out-of-the-box functionality, there is preloaded as alternative criteria a code snippet. The criteria is met on the bull side when the current candle close breaks out above the prior candle high. The bear criteria is met when the close breaks below the prior candle. When Alternate Criteria is run by itself, this is the only criteria set and bars are highlighted when it is true. You can qualify these candles by adding additional attributes that you think would fit well. Using Alternative Criteria, you are essentially setting a filter for the rest of the criteria. 5. Extensive Read Out in the Data Window (right side bar pop out window). As you can see in the thumbnail, there is pasted a copy of the Data Window Dialogue. I am doubtful I can get the thumbnail to load up perfectly aligned. Its hard to get all these data points in here. It may be better suited for a table at this point. Let me know what you think. The primary, but not exclusive, purpose of what is in the Data Window is to talk about how often your criteria happens and what happens on the next bar. There are a lot of pieces to this. Red = Values pertaining to the size of the current bar only Blue = Values pertaining or related to the total number of signals Green = Values pertaining to the signal bars themselves, including their measurements Purple = Values pertaining to bullish bars that happen after the signal bar Fuchsia = Values pertaining to bearish bars that happen after the signal bar Lime = Last four rows which are your percentage occurrence vs total signals percentages The best way I can explain how to understand parts you don’t understand otherwise in the data window is search the title of the row in the code using ‘ctrl+f’ and look at it and see if it makes more sense. █ [b}Available Candle Attributes Candle attributes can be used in any combination. They include: [*}Bodies [*}High/Low Range [*}Upper Wick [*}Lower Wick [*}Average Size [*}Alternative Criteria Criteria will evaluate each attribute independently. If none is set for a particular attribute it is bypassed. Criteria Quantity can be in Ticks, Points, or Percentage. For percentage keep in mind if using anything involving the candle range will not work well with percentage. Criteria Operators are “Greater Than,” “Less Than,” and “Threshold.” Threshold means within a range of two numbers. █ Problems with this methodology and opportunities for future development: #1 This kind of work is hard. If you know what you’re doing you might be able to find success changing out the inputs for loops and logging results in arrays or matrices, but to manually go through and test various criteria is a lot of work. However, it is rewarding. At the time of publication in early Oct 2022, you will quickly find that you get MUCH more follow through on bear bars than bull bars. That should be obvious because we’re in the middle of a bear market, but you can still work with the parameters and contextual inputs to determine what maximizes your probability. I’ve found configurations that yield 70% probability across the full series of bars. That’s an edge. That means that 70% of the time, when this criteria is met, the next bar puts you in profit. #2 The script is VERY heavy. Takes an eternity to load. But, give it a break, it’s doing a heck of a lot! There is 10 unique arrays in here and a loop that is a bit heavy but gives us the debug window. #3 If you don’t have a clear idea its hard to know where to start. There are a lot of levers to pull on in this script. Knowing which ones are useful and meaningful is very challenging. Combine that with long load times… its not great. #4 Your brain is the only thing that can optimize your results because the criteria come from your mind. Machine learning would be much more useful here, but for now, you are the machine. Learn. #5 You can’t save your settings. So, when you find a good combo, you’ll have to write it down elsewhere for future reference. It would be nice if we could save templates on custom indicators like we can on some of the built in drawing tools, but I’ve had no success in that. So, I recommend screenshotting your settings and saving them in Notion.so or some other solid record keeping database. Then you can go back and retrieve those settings. #6 no way to export these results into conditions that can be copy/pasted into another script. Copy/Paste of labels or tables would be the best feature ever at this point. Because you could take the criteria and put it in a label, copy it and drop it into another strategy script or something. But… men can dream. █ Opportunities to PineCoders Learn: 1. In this script I’m importing libraries, showing some of my libraries functionality. Hopefully that gives you some ideas on how to use them too. The price displacement library (which I love!) Creative and conventional ways of using debug() how to display arrays and matrices on charts I didn’t call in the library that holds the backtesting function. But, also demonstrating, you can always pull the library up and just copy/paste the function out of there and into your script. That’s fine to do a lot of the time. 2. I am using REALLY complicated logic in this script (at least for me). I included extensive descriptions of this ? : logic in the text of the script. I also did my best to bracket () my logic groups to demonstrate how they fit together, both for you and my future self. 3. The breakout, built-in, “alternative criteria” is actually a small bit of genius built in there if you want to take the time to understand that block of code and think about some of the larger implications of the method deployed. As always, a big thank you to TradingView and the Pinescript community, the Pinescript pros who have mentored me, and all of you who I am privileged to help in their Pinescripting journey. "Those who stay will become champions" - Bo Schembechler
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kurtsmock의
6
Market Sessions [Kaspricci]A simple indicator to show you the opening hours of the main markets in London, New York, Tokio and Sydney. It is not shown in your main chart window and as such does not make the chart more difficult to read. You can turn each market on and off individually and also change the start and end time, if you wish so. All based on GMT timezone, but will be translated into your local timezone. Happy to receive your feedback.
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Best-Algo-Trader의
2