Random number generation using the 32-bit PCG generator.
Advisor for trading Gbp/Chf. Algorithm for bar opening prices. Timeframe H1.
This indi will draw OBJ_ARROW_BUY/OBJ_ARROW_SELL when find signals on Arrow Indi Buffers.
A fast library for combinations and permutations in MQL.
The script exports summary of closed trades grouped by each trading day to .csv file
Variance (Welford’s method for computing)
The script exports summary of closed trades grouped by each currency pair to .csv file
A script to close all market positions and/or pending orders.
This script will change the SL and TP of all open trades of the symbol to the price where the script is dropped off.
Sell Relative Strengt Index (SRSI)
BB stops of MACD with multiple stops
The Expert Advisor uses four iMA (Moving Average, MA) indicators from two timeframes. Two indicators with averaging periods 1 and 8 are created on the H1 timeframe and two indicators with averaging periods 1 and 8 are also created on the H4 timeframe.
A class to reconstruct closed trades (paired in/out deals) from history sorted by close time.
Display interactive HTML graph of the account balance inside the web browser.
Builds a sliding line with a polynomial of 4 degrees. Extrapolates as a section of a given function with a sinusoid and its axial one. One value is taken from the constructed lines on each bar and a line of extrapolated values is plotted, which does not redraw.
A cross platform library/framework
Exponential moving average
Linear Weighted Moving Average
Advisor scalper. Trading algorithm: Candle> Candle * 2.
Taimeframe - 4H && Day.
A base class to simplify analyzing trade transactions in MQL5.
This indicator uses the open price for the day, and computes the percent change for that day. Use on any chart TF up to and including D1.
RSI with CCI for confitrmation
Buffer-free indicator implemented on iCanvas
Intra-day Keltner channel extended
Intra-day Keltner channel
Intra-day average true range
This class was developed to exchange data between MetaTrader 5 and CSV files. It converts the strings read from the CSV file to double and integer values depending of the type of the columns.
Two producers of CSV files are most important for me. The most important producer are spreadsheet programs,
i.e. LibreCalc. Manually entered CSV are the other kind of CSV files I had in mind.
Be aware that this class do not use the standard library FileCsv.mqh etc. Instead it works with text files. It splits text lines into fields.
Maximum speed and low memory usage were no development goals. This class may not be suited for large datasets or time critical operations. I would not use CSV files if speed was my main goal.
Adaptive moving average - double smoothed
Normalized MACD of averages