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advances-in-financial-machine-learning

Using Dask, a Python framework, I handle 900 million rows of S&P E-mini futures trade tick data directly on a local machine. Through exploratory data analysis, continuous series creation, and bar sampling, inspired by Marcos Lopez de Prado's work, I demonstrate efficient alternatives to costly data processing methods.

ai-bootcamp-2024

aialpha

Use unsupervised and supervised learning to predict stocks

algorithmictrading

ML Application of Algorithmic Trading

alphapy

Python AutoML for Trading Systems and Sports Betting

anomaliesinoptions

In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.

arbitragelab

ArbitrageLab is a python library that enables traders who want to exploit mean-reverting portfolios by providing a complete set of algorithms from the best academic journals.

auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-deep-trading

List of awesome resources for machine learning-based algorithmic trading

awesome-public-datasets

A topic-centric list of HQ open datasets.

awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

awesome-quant-machine-learning-trading

Quant/Algorithm trading resources with an emphasis on Machine Learning

backtest_tutorial

backtester

A simple quant trading backtester implementation

binance-smart-chain-copytrading

Copy Trade on the Binance Smart Chain Blockchain Irrespective of Router or Dex

binance_klines_fib

BINANCE_KLINES_FIB

bitcoinbook

Mastering Bitcoin 3rd Edition - Programming the Open Blockchain

blockchain

A simple Blockchain in Python

blockchain-tutorial

:ear_of_rice: A step-by-step blockchain tutorial in simplified Chinese

books

Source code for 200+ books, kept here for quick reference

bulbea

:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling

chatgpt-promp1

Advanced ChatGPT Prompts

clairvoyant

Software designed to identify and monitor social/historical cues for short term stock movement

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

crypto-rl

Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent

data-science-interview-questions-answers

deep-trading

Algorithmic trading with deep learning experiments

deepstock

Technical experimentations to beat the stock market using deep learning :chart_with_upwards_trend:

distributed-llama

Tensor parallelism is all you need. Run LLMs on an AI cluster at home using any device. Distribute the workload, divide RAM usage, and increase inference speed.