As a beginner looking to get into neural network investing, it can be overwhelming figuring out where to start. Github and Reddit communities focused on this topic offer some of the best open-source code, tutorials and discussions to help you get up and running. This article outlines key steps beginners should take to start exploring neural network investing models on these platforms.
Learn neural network investing basics on Github
There are some great Github repos focused on using neural networks for stock prediction and algorithmic trading. These provide code examples of neural network models alongside explainers of the underlying concepts. As a starting point, check out repositories from Sentdex, huseinzol05, and Ritvik19. Go through their Jupyter notebook tutorials line-by-line to understand how to preprocess financial data, design and train LSTM models, and simulate trades. Also reference Awesome-Deep-Trading GitHub list for more advanced repositories once you have the fundamentals down.
Find Reddit communities for guidance & troubleshooting
Reddit has very active subs like r/algotrading, r/machinelearning and r/quantfinance where members discuss neural network trading models. Reading through posts provides ideas of stocks to analyze, helps debug issues in your own codes and points to useful online courses or blogs for next steps. Contributors also share tips on important but less covered topics like position sizing and risk management. Especially as a beginner, regularly participate by asking questions when stuck to leverage community knowledge.
Start basic then iterate neural network investing strategies
With so many sophisticated strategies out there, it’s tempting to jump right into complex neural network architectures. But mastering the fundamentals first is key – walk before you run. Using linear models or basic feedforward networks on a single stock, progress to multivariate LSTM networks, then incorporate factors like options data. Making incremental improvements allows you to better isolate the impact of each model tweak. And most importantly, don’t rely solely on backtests, incorporate forward-testing periods to check for overfitting before ever risking real capital.
Leveraging Github and Reddit is invaluable for beginners looking to explore neural network investing models. Learn the fundamentals from Github tutorials, get community guidance to improve strategies and start with basic models before incorporating more complexity.