QGEN_Lua
Unverified ML strategy on Multi by diovisgood. BotFinder score 18 out of 100.
Competing Genetic Algorithm to find profitable Trading Strategies on a financial market
Source: github
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QGEN_Lua
QGEN Project - Competing Genetic Algorithm Abstract In this article I describe Competing Genetic Algorithm that was created during my work on QGEN Project. It was a project for the task of finding new profitable trading strategies in a financial market. In this project by trading strategy I mean: a mathematical formula that uses some datasets of past market data and produces a number. If the number is positive we should trade LONG for a given instrument. If it is negative - we should trade SHORT. Otherwise - CLOSE any position. At first I describe well known Genetic Algorithm in details. Then I show it's limitations for tasks of particular kind, when you can expect many different good solutions. In this case a simple Genetic Algorithm will most probably stuck in a local optimum with one result. Using analogy with some imaginary example I show the way to solve this problem: competition for resources. Then I describe the proposed Competing Genetic Algorithm. It's main principles are: - Evolve several species in parallel, each with its own population. - Make species compete for r
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