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Statistics

[TTI] All-time-high (ATH), (ATL), 52 week high and low Dots––––History & Credit I wanted to show our community the idea that stocks that make All Time High are likely to continue making ATHs for some time. It goes contrary to the idea "buy cheap sell high". Actually, in the real market leaders the stocks that make 100+% return are just getting started on returns to few THOUSAND percent. I have used code from QuantNovad scrip in this one too. So thanks to him as well, since it speeded writing it from scratch! –––––What it does The script paints dots and shows stats. The dots are 4 types: 🟢 = Every time a new ATH is achieved, a green dot paints above the bar 🟣 = Every time a new 52week High is achieved, a purple dot paints above the bar 🟡 = Every time a new ATL is achieved, a yellow dot paints below the bar 🟠 = Every time a new 52week Low is achieved, a orange dot paints below the bar Stats = Show in a box in the bottom right corner of the screen. How many times has this stock achieved: 👉 ATHs 👉 52WK High 👉 ATLs 👉 52WK LOW –––––How to use it This is really an illustrative script to get the idea of the methodology "buy high sell higher', that we teach as momentum traders. Some notable examples to check are: HOOD MSFT TSLA AAPL See the stock dynamics and understand that bottom fishing doesn't result in stocks making massive moves.
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TintinTradingの投稿
7
Average Quarterly and Annual Gain/Loss (Color Divided)Hello! Simple script here! (BE SURE TO TRY WITH BAR REPLAY) This indicator measures the current quarterly gain/loss (Q1, Q2, Q3, Q4) and the average quarterly gain/loss. The average percentage gain/loss for Q1, Q2, Q3, and Q4 are calculated and displayed on the chart; colors are adjustable. By default, Q1 is measured as blue, Q2 as green, Q3 as red and Q4 as yellow. Also measured is the average annual percentage gain/loss and the current year's running gain/loss. Years are split by a dashed line, beneath which a label displays that year's percentage gain or loss, in addition to the average annual gain or loss. Labels and lines update per bar! A constantly updating line connects the high price of the first session for a quarter to the current high price. The line will delete and restart when a new quarter occurs. Labels, lines, and line fills are color coded. So, any change to the quarterly/annual color scheme will change the color for all labels, lines, and line fills for that particular quarter! Thanks for reading!
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KioseffTradingの投稿
4
PSAR Optimization ScriptHello! User @henryph24 suggested I make this script! This script calculates the cumulative and average gain/Loss of rising SAR following a price crossover of SAR. The cumulative and average gain/Loss of falling SAR following a price crossunder is also measured. Changes to the parameters of SAR will return the requisite calculations for evaluating performance. Benchmark SAR can be used to compare performance against test SAR. When changing the SAR parameters the script will recalculate and display the rising SAR and falling SAR performance of the modified parameters. The script works for any asset on any timeframe. Essentially, this script allows you to optimize SAR parameters, and quickly ascertain what can/cannot work for an asset. The script automatically plots the best performing SAR between a benchmark SAR (SAR #1) and a test SAR (SAR #2). Both benchmark SAR and test SAR works the same. The two are used to compare performance between different SAR parameters. If you would like the script not to plot the best performing SAR you can select "On" for the "Override SAR" input box. Doing so will plot the SAR parameters of your choice while still allowing you to compare the performance of benchmark SAR and test SAR. There are tooltips available in the user input tab that explain the SAR parameters, in addition to what your modifications of the parameters will do, should you be unfamiliar with the indicator! Enjoy!
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KioseffTradingの投稿
5
Volatility/Volume ImpactWe often hear statements such as follow the big volume to project possible price movements. Or low volatility is good for trend. How much of it is statistically right for different markets. I wrote this small script to study the impact of Volatility and Volume on price movements. Concept is as below: Compare volume with a reference median value. You can also use moving average or other types for this comparison. If volume is higher than median, increment positive value impact with change in close price. If volume is less than median, then increment negative value impact with change in close price. With this we derive pvd and nvd which are measure of price change when volume is higher and lower respectively. pvd measures the price change when volume is higher than median whereas nvd measures price change when volume is lower than median. Calculate correlation of pvd and nvd with close price to see what is impacting the price by higher extent. Colors are applied to plots which have higher correlation to price movement. For example, if pvd has higher correlation to price movement, then pvd is coloured green whereas nvd is coloured silver. Similarly if nvd has higher correlation to price then nvd is coloured in red whereas pvd is coloured in silver. Similar calculation also applied for volatility. With this, you can observe how price change is correlated to high/low volume and volatility. Let us see some examples on different markets. Example 1: AMEX:SPY From the chart snapshot below, it looks evident that SPY always thrive when there is low volatility and LOW VOLUME!! Example 2: NASDAQ:TSLA The picture will be different if you look at individual stocks. For Tesla, the price movement is more correlated to high volume (unlike SPY where low volume days define the trend) Example 3: KUCOIN:BTCUSDT Unlike stocks and indices, high volatility defined the trend for BTC for long time. It thrived when volatility is more. We can see that high volume is still major influencer in BTC price movements. Settings are very simple and self explanatory. Hint: You can also move the indicator to chart overlay for better visualisation of comparison with close price.
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Trendoscopeの投稿
8
Financial GrowthThis indicator will acquire the financial data provided by Tradview. the data is compare between Quarter, Annual and TTM in term of percent of growth. YoY, QoQ and CAGR is also available by this script (The minimum is 4). in addition, ploting of data, label and table also available (you can check the mark to toggle on / off). Data : Revenue, Net Income, EBITDA, EPS, DVPS, Free Cash Flow and Forward PE . How to use it. just select the financial data, period and size of data to compare. you can check the box to toggle the plotting line, label and table. Enjoy.
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morzor61の投稿
62
Relative Standard DeviationStandard Deviation is a common measure of volatility (the dispersion of data relative to its mean). However, when using it as an indicator, it can be more useful at times to know the deviation relative to the price as a percentage versus the hard value. This normalizes the data so that it is easier to compare the deviation of different assets. By definition, standard deviation is the square root of the variance, and it is how far the price is from the mean 68.2% of the time when there is normative distribution. What it does : This indicator will tell you the standard deviation of the asset relative to its price (as a %), but also has the option to plot the normal (population) standard deviation. Example use case : The regular standard deviation of Asset A is $12 and Asset B is $10. Which one is more volatile? Well, it depends on the asset price. If asset A just closed at $900 and asset B just closed at $30, that makes a big difference. In this instance Asset A $12/$900=1.33% (standard deviation relative to the asset price). Asset B $10/$30=33.33% (standard deviation relative to the asset price). Using a normal standard deviation indicator, you would just see that the standard deviation of Asset A is higher as a hard dollar value, when the reality is that Asset A is much less volatile. How to use it : This indicator plots a blue line by default that is the Relative Standard Deviation of the asset compared to the asset price (a %). There is also an option to turn on / plot regular (population) Standard Deviation, which will plot as a purple line. The mean length used for the average, and the lookback period that the indicator uses to calculate, are both adjustable with inputs.
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TradeAutomationの投稿
Leverage CalculatorThis script is intended to be used as a risk management calculator. It will calculate the best leverage to use based on the maximum percentage of loss you are willing to incur on your trading portfolio. Also calculates the order value and order qty based on your inputs. Please note this calculator does not take into account any trading fees imposed by the exchange you are using. *** Only risking 1% to 5% of your portfolio is considered good risk management *** *** Not financial advice *** ------ Settings Inputs ----------------------------------------------------------------------------------------------------- "Portfolio Size" -- enter your portfolio balance "% Willing to lose on this trade" -- enter the percent of your portfolio you are willing to lose if the stop loss is hit "Entry Price" -- enter the price at which you will enter the trade "Stop Loss Price" -- enter the price at which your stop loss will be set ---------------------------------------------------------------------------------------------------------------------------- ------ Outputs ------------------------------------------------------------------------------------------------------------- "Portfolio" -- displays the portfolio balance entered in settings "max loss on trade" -- displays the % loss entered in settings and the corresponding amount of your portfolio "Entry Price" -- displays the entry price entered in settings "Stop Loss Price" -- displays the stop loss price entered in settings "Stop Loss %" -- displays the calculated percentage loss from the entry price "Leverage calc" -- displays the calculated leverage based on your max loss and stop loss settings "Order Value" -- displays the value of the order based on the calculated leverage "Order Qty" -- displays the calculated order qty based on the calculated leverage
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LamboLimboの投稿
VOLD-MarketBreadth-RatioThis script provides NASDAQ and NYSE Up Volume (volume in rising stocks) and Down Volume (volume in falling stocks) ratio. Up Volume is higher than Down Volume, then you would see green label with ratio e.g 3.5:1. This means Up Volume is 3.5 times higher than Down Volume - Positive Market Breadth. If Down Volume is higher than Up Volume, then you would see red label with ratio e.g -4.5:1. This means Down Volume is 4.5 times higher than Up Volume. For example, ratio is 1:1, then it is considered Market Breadth is Neutral. PS: Currently TradingView provides only NASDAQ Composite Market volume data. I have requested them to provide Primary NASDAQ volume data. If they respond with new ticket for primary NQ data, I will update the script and publish the updated version. So if you have got similar table on ToS, you would see minor difference in NQ ratio.
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sskchartsの投稿
13
Prime Number CheckerThis is not a foolproof method for finding every prime number but will work well on assets $10 to $100. I will be working on something more robust with scaling for all assets. If you want a main pane indicator with just the background coloring keep the indicator as it is. If you want a lower pane indicator get rid of the current study function and replace with the commented out study function by deleting the //. Also comment in line 28 also by deleting the //. Prime numbers are an excellent natural mathematical site of reversal and you will begin to see this as you work with them. Any questions don't be scared to ask. Eliza.
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Eliza123123の投稿
16
Bar StatisticsThis script calculates and displays some bar statistics. For the bar length statistics, it takes every length of upper or lower movements and calculates their average (with SD), median, and max. That way, you can see whether there is a bias in the market or not. Eg.: If for 10 bars, the market moved 2 up, then 1 down, then 3 up, then 2 down, and 2 up, the average up bars length would be at 2.33, while the average for the down length would be at 1.5, showing that upper movements last longer than down movements. For the range statistics, it takes the true range of each bar and calculates where the close of the bar is in relation to the true low of it. So if the closing of the bar is at 10.0, the low is at 9.0, and the high is at 10.2, the candle closed in the upper third of the bar. This process is calculated for every bar and for both closing prices and open prices. It is very useful to locate biasses, and they can you a better view of the market, since for most of the time a bar will open on an extreme and close on another extreme. Eg.: Here on the DJI, we can see that for most of the time, a month opens at the lower third (near the low) and closes at the upper third (near the high). We can also see that it is very difficult for a month to open or close on the middle of the candle, showing how important the first and the last day are for determining the trend of the rest of the month.
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EduardoMattjeの投稿
1
Weighted Harrell-Davis Quantile Estimator with AbsoluteDeviation QUANTILE ESTIMATORS Weighted Harrell-Davis Quantile Estimator with Absolute Deviation Fences. DISCLAIMER: The Following indicator/code IS NOT intended to be a formal investment advice or recommendation by the author, nor should be construed as such. Users will be fully responsible by their use regarding their own trading vehicles/assets. The following indicator was made for NON LUCRATIVE ACTIVITIES and must remain as is, following TradingView's regulations. Use of indicator and their code are published for work and knowledge sharing. All access granted over it, their use, copy or re-use should mention authorship(s) and origin(s). WARNING NOTICE! THE INCLUDED FUNCTION MUST BE CONSIDERED FOR TESTING. The models included in the indicator have been taken from open sources on the web and some of them has been modified by the author, problems could occur at diverse data sceneries, compiler version, or any other externality. Purpose: Weighted Quantiles or <> are quite difficult to find on must systems, also it's non-weighted approach are rarely used to estimate the location parameter of price distribution WICH IS NOT NORMAL, all this in favour of it's non-robust counterpart, the Arithmetic rolling Mean or <> and it's weighted variants like the WMA, VWAP, etc. Also, a big drawback from this is that must statistics derived from Normal-Distribution parameter location (the Mean) definitely will not fit for an efficient, nor robust estimation for price distributions, so their moments like the standard deviation, kurtosis, skewness, etc. will not be the better tools to build derived algorithms or technical indicators among price/volume. In an effort searching better statistical tools for price distributions, I found the excellent work of Andrey Akinshin that took me to port some of their Math research contributions for the compute benchmarking field , and bring it here at the TradingView ecosystem to take a shot at the price distribution crazy fields. For a better detail of what the weighted Harrell-Davis Quantile Estimator can do, who better than drink directly from the source at References: References: Weighted Quantile Estimators. DoubleMAD outlier detector based on the Harrell-Davis quantile estimator. Unbiased median absolute deviation based on the Harrell-Davis quantile estimator. Quantile confidence intervals for weighted samples. Licensing: This work is licensed under a Attribution-NonCommercial-ShareAlike 4.0 International Copyright (c) 2021 (CC BY-NC-SA 4.0) Copyright's & Mentions: The Gamma Functions & Beta Probability Density Functions C# implementations by the Math.NET Numerics, part of the Math.NET Project. The Regularized Incomplete (Left) Beta Function C# implementation by the SAMTools, htslib project. The Weighted Harrell-Davis Quantile estimator ; C# & R implementations by Andrey Akinshin. External PineScript code, methods, support & consultancy by @PineCoders staff with special mention for: + "ma sorter ('sort by array' example)- JD" by @Duyck. + Porting, mods, compilation and debugging for this script by @XeL_Arjona for the TradingView's @PineCoders community.
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xel_arjonaの投稿
38