bespokoid

alpaca-backtrader-api

Alpaca Trading API integrated with backtrader

doing

backtrader

Python Backtesting library for trading strategies

baseplate.py

reddit's python service framework

boostnote-markdown-cheatsheet

📋 📘 The missing one page markdown feature cheat sheet for Boostnote

catalyst

An Algorithmic Trading Library for Crypto-Assets in Python

ccxt

A JavaScript / Python / PHP cryptocurrency trading API with support for more than 120 bitcoin/altcoin exchanges

cryptofeed

Cryptocurrency Exchange Feed Handler with synthetic NBBO

cryptostore

A storage engine for cryptocurrency data

daily

Curated dev news delivered to your new tab 👩🏽‍💻

dotfiles

dotfiles-1

There is no place like ~/

dramatiq

A fast and reliable background task processing library for Python 3.

feather

Feather: fast, interoperable binary data frame storage for Python, R, and more powered by Apache Arrow

gryphon

Powerful, proven, and extensible framework for building trading strategies at any frequency, with a focus on crypto currencies. Battle-tested with billions traded.

instabot-trader

Algorithmic Bitcoin Trading

pandapy

PandaPy has the speed of NumPy and the usability of Pandas (10x to 50x faster)

perspective

Streaming pivot visualization via WebAssembly

pomotroid

:tomato: Simple and visually-pleasing Pomodoro timer

pyalgotrade

Python Algorithmic Trading Library

pydantic

Data parsing and validation using Python type hints

python-binance-chain

Binance Chain Exchange API python implementation for automated trading

rq

Simple job queues for Python

service

Easy implementation of Unix background services in Python

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.

technical

Different indicators developed or collected for the Freqtrade

uplink

A Declarative HTTP Client for Python

Vim

:star: Vim for Visual Studio Code

vim-ipython-cell

Seamlessly run Python code from Vim in IPython

zarr-python

An implementation of chunked, compressed, N-dimensional arrays for Python.