Genetic Algorithm for Quant Strategy Optimization Tutorial (Pyjuque): 2. ALGORITHM OUTLINE

Hello Friends! In this miniseries I will go over a method you can use to optimize your trading strategies. We will be using a genetic algorithm, which is a type of optimization algorithm inspired by Natural Selection and Evolution, in order to find the best parameters for the Indicators used in our Technical Analysis Strategies. In this second video I will explain in detail the functions involved in writing the algorithm and will start defining some of the parameters. ~~ LINKS ~~ The code featured here can be found on my open source trading bot - PYJUQUE: https://github.com/tudorelu/pyjuque (contributions welcome) This Optimization Algorithm was inspired by Joos Korstanje’s article: https://towardsdatascience.com/a-simple-genetic-algorithm-from-scratch-in-python-4e8c66ac3121 ~~ SUPPORT ~~ Please Like & Subscribe! Donations Welcome! BTC: 17Q7PLFAKFDsNdC36PEM7WVLH9DWkFiJXz ETH: 0x43C8E81bCCb4Dc7f63b7c995F2FdAC365EAA78a1 Or Sponsor me on Github (like Patreon): https://github.com/sponsors/tudorelu Binance Referral: https://www.binance.com/?ref=10961872 ~~ CONTACT ~~ Inquiries & Work: [email protected] Join our Discord: https://discord.gg/7VzPV5a Join me on Telegram: https://t.me/joinchat/G0Ey-xVAjNdYcZcAR6Vkjw Sometimes I stream on Twitch, follow me there: https://www.twitch.tv/tudorelu01