Stock-Trading-With-Neat-Algorithm
Unverified ML strategy on Indices by Kacper-Pietkun. BotFinder score 18 out of 100.
Stock trading based on MACD indicator, using NEAT and naive algorithm
Source: github
BotFinder analysis pending.
Stock-Trading-With-Neat-Algorithm
StockTradingWithNeatAlgorithm Stock trading based on MACD indicator using NEAT and naive algorithm Sections - Description - General - MACD description - Data Preparation - Main features - NEAT vs naive algorithm - Usage - Links Description General In this project, NEAT algorithm is used for stocks trading. It makes use of MACD indicator to decide whether to buy or sell stocks. Implemented bookmaker has a starting capital of 1000 USD and it tries its hand in trading stocks of S&P 500 stock data (link to a dataset is below). Because of the fact that NEAT algorithm tries to make intelligent decisions, I have also decided to implement naive algorithm (which is also using MACD to making decisions) in order to have some reference point. MACD description Moving Average Convergence Divergence (MACD) is a trend-following momentum indicator, which is considered the most simple and effective one. It is mainly used in technical analysis of stock prices. It shows the relationship between two exponential moving averages and consists of two charts: MACD and SIGNAL. MACD can be interpreted in many w
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