The code uses the concept of mean reversion. Mean reversion suggests that price over a period of time reverts back to its statistical mean. In simple terms, it means if a price has drifted apart from the statistical mean, after a certain amount of time, it will revert back to its statistical mean. This drift is measured via z-score. When the z-score value is high,...
| Initial Release | | EN | An update of my old script, this script is designed so that it can be used as a template for all those traders who want to save time when programming their strategy and backtesting it, having functions already programmed that in normal development would take you more time to program, with this template you can simply add your favorite...
BTC Profitable Wallets Strategy - plots the percentage of profitable BTC wallets and places long orders when the profitable wallet share crosses above 50%, historically a very accurate point to catch the next Bull Run early. The only setting is a smoothing option using the Moving Average method and length of your choice. On Chain Data is queried from...
This is a low timeframe strategy based on SMMAs and RSI, shared by Investishare. This script turns the indicator into a strategy and allows for several variables to be customized.
This is daytrade stock strategy, designed to take the best out of the daily gaps that are forming between the close of previous day and opening of present day. At the same time its logic has been adapted for SPY chart, in order to use correlation with the other stocks/assets/ etf which are linked with SP500 movement. Lastly it has been added 2 new confirmation...
BTC Hash Rate ribbons / Hash Rate cross This strategy goes long when BTCs Hash Rate 30 day moving average crosses above the 60 day moving average, signifying that miner capitulation is over and recovery has started. When the opposite signal is given, which signifies the beginning of miner capitulation, the strategy goes short (or flat, depending on...
Indicator user EMA 3 line FastEMA = 20 MidEMA = 50 SlowEMA = 180 strategy.long short = FastEMA cross SlowEMA strategy.close = FastEMA cross MidEMA and table statistic won lost .
Strength Volatility Killer - The Quant Science™ is based on a special version of RSI (Relative Strength Index), created with the simple average and standard deviation. DESCRIPTION The algorithm analyses the market and opens positions following three different volatility entry conditions. Each entry has a specific and personal exit condition. The user can...
Mean Reverse Grid Algorithm - The Quant Science™ is a dynamic grid algorithm that follows the trend and run a mean reverting strategy on average percentage yield variation. DESCRIPTION Trades on different price levels of the grid, following the trend. The grid consists of 10 levels, 5 higher and 5 lower. The grids together create a channel, this channel...
DCA Average Arbitrage - The Quant Science™ is a quantitative algorithm based on a DCA model that uses averaging to create a statistical arbitrage system. DESCRIPTION The algorithm can be set long or short. 1. Long algorithm: opens long positions with 100% of the capital every time the price deviates negatively for a certain percentage distance from the...
This script is just finds the best hour to buy and sell hour in a day by checking chart movements in past For example if the red line is on the 0.63 on BTC/USDT chart it mean the start of 12AM hour on a day is the best hour to buy (all based on It's just for 1 hour time-frame but you can test it on other charts. IMPORTANT: You can change time Zone in strategy...
This helpful analysis tool displays a table of days a stock has gapped, how much it gapped by and what percentage of the gap was covered. It is meant to be used on the daily timeframe and can help you distinguish if gaps are going to be filled or not. I like to use it mainly on medium + cap stocks that have gapped overnight or pre-market and see what the tendency...
Statistical Correlation Algorithm - The Quant Science™ is a quantitative trading algorithm. ALGORITHM DESCRIPTION This algorithm analyses the correlation ratios between two assets. The main asset (on the chart), and the secondary asset (set by the user). Then apply the long or short trading strategy. The algorithm divides trading work into three parts: 1....
Probabilistic Analysis Table - The Quant Science ™ is the quantitative table measuring the probability of price changes and quantifies the ratio of sessions for three different assets. This table measures the ratios of bull and bear events and measures the probability of each event through data generated automatically by the algorithm. The data are...
---EN: In this strategy template you will find some functions already pre-programmed to be used in your strategies to speed up the programming process, among them we can highlight the default stop loss and take profit functions, which will help to set easily and quickly, defining the price range in which we want to prevent large losses or protect our profits from...
We are happy to introduce the Key Performance Indicator by Detlev Matthes. This is an amazing tool to quantify the efficiency of a trading system and identify potential spots of improvement. Abstract A key performance indicator with high explanatory value for the quality of trading systems is introduced. Quality is expressed as an indicator and comprises the...
This script was born out of my quest to be able to display strategy back test statistics on charts to allow for easier backtesting on devices that do not natively support backtest engine (such as mobile phones, when I am backtesting from away from my computer). There are already a few good ones on TradingView, but most / many are too complicated for my...
USDJPY Anomaly. This anomaly originated in Japan. Buy from 2:00 pm Japan time. Sell at 9:55 Japan time. Japanese importers often settle payments to suppliers in dollars, and exchange yen for dollars on settlement days (days falling on a 5 or 10, so-called goto days). Therefore, on goto days, there is sometimes a shortage of dollars held by financial...