Onepagecode
Practical breakdowns of AI, Python, research papers, and quant trading strategies — one page, one idea, one build at a time.
| Platform |  | Pricing | Only paid issues | Publishes | Daily |
|---|---|---|---|---|---|
| Issues | 585 | Founded | 4 years ago | Last Issue | 6 days ago |
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onepagecode.substack.comLatest Issues
Recurrent Neural Networks for Quant Trading: Time-Series Forecasting
Building LSTM, GRU, and simple RNN models to predict asset returns and identify sequential market patterns
Use the URL at the end of this article to download the source code!
Deep Learning for Quant Trading: Training Neural Networks from Scratch
A step-by-step implementation of feedforward networks, backpropagation, and optimization using NumPy
Use the URL at the end of this to download the source code!
Linear Regression for Quant Trading: Building and Evaluating Predictive Models
An introduction to formulating, training, and diagnosing linear regression models using Python
Download the source using the URL at the end of this article!
Machine Learning Workflows for Quant Trading: KNN and Feature Selection
A complete guide to data preprocessing, cross-validation, and hyperparameter tuning in algorithmic trading
Use the button at the end of this to download the source code for this chapter
Bayesian Machine Learning in Quant Trading: Updating Beliefs with Conjugate Priors
An interactive guide to using Beta-Binomial models, prior probability estimation, and dynamic posterior updating for trade simulation
Environment preparationimport warnings warnings.filterwarnings('ignore')
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