Introduction OCS : Optimal Confidence Scalpers, Utilise the computational approach towards finding confidence estimating in signal generating process, It helps u enter and exit the financial markets quickly, It buy and sell many times in a day with the objective of making consistent profits from incremental movements in the traded security's price. As we all know...
Library "FunctionPatternFrequency" Counts the word or integer number pattern frequency on a array. reference: rosettacode.org count(pattern) counts the number a pattern is repeated. Parameters: pattern : : array : array with patterns to be counted. Returns: array : list of unique patterns. array : list of counters per...
This script will continuously draw a boxplot to represent quartiles associated with data points in the current rolling window. Description : A quartile is a statistical term that refers to the division of a dataset based on percentiles. Q1 : Quartile 1 - 25th percentile Q2 : Quartile 2 - 50th percentile, as known as the median Q3 : Quartile 3 - 75th...
Have all your trade data in one small overview. - TP amount in USD and % - RR of the trade - Cost if stoploss is hit - Total profit in USD - Account growth in percentage - Sets automatic alerts on SL, entry en TP's if enabled Enjoy!
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...
A simple script to show the price different between the previous candle and all the points of the current open candle. (including: high, low, open) They are color labeled. (You check what each color means in the settings of the script)
Trading Portfolio Tracker - The Quant Science™ is a tracking and monitoring trades application. It is a very useful Pine app for day traders and scalpers. This trading portfolio tracker is a unique solution for users who would monitoring their day trading performance instantly and make more efficient trade management decisions. HOW IT WORK The user enters 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...
Hi Traders! Welcome to Protervus Trading Toolkit (PTT) , a comprehensive set of tools to help you building, backtesting, and even automating your strategy. Important : the data and screenshots I publish are solely for presentation and explanation purposes and must not be intended as recommendations or guarantees. Please consider eventual backtesting results...
The Value at Risk Channel (VaR Channel) is a trading indicator designed to help traders control the level of risk exposure in their positions. The user can select a time period and a probability value, and the indicator will plot the upper and lower limits that the price can reach during the selected time period with the given probability. CONCEPTS The...
This script shows the change from the market opening price to the market closing price of the previous day in percent. With this you can quickly get an overview of historical data for the change of the respective day. Important: the market closing price is always used for the calculation and not the pre/post market price. The label with the change value is...
Hey everyone! Deciding to make this indicator public and open access. This is a volume weighted close indicator for SPY. It is a statistics based indicator. How it works: It uses volume data mixed with some price action data to prospectively predict where SPY's price will close within a 30 minute interval. As such, its different from other indicators in...
Description: As in the decomposition of time series data, the indicator was modified from the deseasonalized process, to avoid overfitting as in the original format, aiming to exclude seasonal component (shorter time-period in consideration), thus leaving trend and irregularity. The indicator is expected to identify short-term trends, based on the given...
Library "DatasetWeatherTokyoMeanAirTemperature" Provides a data set of the monthly mean air temperature (°C) for the city of Tokyo in Japan. this was just for fun, no financial implications in this. reference: www.data.jma.go.jp TOKYO WMO Station ID:47662 Lat 35o41.5'N Lon 139o45.0'E year_() the years of the data set. Returns: array : year values. ...
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...