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research

Notebooks based on financial machine learning.

rethinking-2ed-julia

Port of Statistical Rethinking (2nd edition) code to Julia

scip.jl

Julia interface to SCIP solver

selenium-webdriver-3-practical-guide-second-edition

Selenium WebDriver 3 Practical Guide Second Edition by Packt publishing

selfstudy-note-for-advances-in-financial-machine-learning

Notebook for <Advances in Financial Machine Learning> using Python 3.7

slopewallet

init

solana

Web-Scale Blockchain for fast, secure, scalable, decentralized apps and marketplaces.

solana-program-library

A collection of Solana-maintained on-chain programs

solana-py

Solana Python SDK

solana_airdrop

Auto airdrop of Solana

solanaj

Java client for Solana and the Serum DEX.

springboot_transaction_split_read_write

stake-o-matic

Solana Foundation stake bot used on the Solana Testnet and Mainnet-Beta

stakepool

stat_rethinking_2022

Statistical Rethinking course winter 2022

statistical-rethinking

A repository for working through the Bayesian statistics book "Statistical Rethinking" by Richard McElreath.

statistical-rethinking-with-python-and-pymc3

Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath

statisticalrethinking.jl

Julia version of selected functions in the R package `rethinking`. Used in the StatisticalRethinkingStan and StatisticalRethinkingTuring projects.

statisticalrethinkingturing.jl

StatisticalRethinking using Turing and Pluto notebooks

statswithjuliabook

stock-trading-ml

A stock trading bot that uses machine learning to make price predictions.

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

strategems.jl

Quantitative systematic trading strategy development and backtesting in Julia

temporal.jl

Time series implementation for the Julia language focused on efficiency and flexibility

the-kelly-criterion

🧮 A deeper look into the Kelly Criterion

til

Today I Learned

token-list

The community maintained Solana token registry

turing.jl

Bayesian inference with probabilistic programming.

turingmodels.jl

Turing version of StatisticalRethinking models.

turingtutorials

Educational material and tutorials for the Turing language