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wojtekjakubo's starred repositories

ytdlp2STRM

A little script to serve Youtube / Twitch / Crunchyroll videos without storage it. Uses yt-dlp HTTP data throught Flask and dynamic URLs. We can use this dynamic URLs to set STRM files.

Language:PythonMIT18800

🧙‍AutoDev: The AI-powered coding wizard with multilingual support 🌐, auto code generation 🏗️, and a helpful bug-slaying assistant 🐞! Customizable prompts 🎨 and a magic Auto Dev/Testing/Document/Agent feature 🧪 included! 🚀

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backtest-rndm1.0

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Mastering-Optimal-Trade-Entry-with-Python-and-Fibonacci-Retracement-Levels-with-FRC

Language:Jupyter NotebookMIT300

cgmTools

Repository for cgMonastery development

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lightweight-charts-python

Python framework for TradingView's Lightweight Charts JavaScript library.

Language:TypeScriptMIT97600

dwpicker

Animation picker.

Language:PythonMIT15200

greedmud

Greed Mud

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hardening

Hardening Ubuntu. Systemd edition.

Language:ShellApache-2.0133700

BinanceWatch

This repo is made to keep track locally of the transactions made by a user on his Binance account.

Language:PythonMIT700

tradingconv

Convert trading history of cryptocurrency platforms

Language:PythonGPL-3.02700

python-binance

Binance Exchange API python implementation for automated trading

Language:PythonMIT100

bf_checker

Binance Futures overview Dashboard

Language:PythonMIT500

binance-trading-bot-new-coins

This Binance trading bot detects new coins as soon as they are listed on the Binance exchange and automatically places sell and buy orders. It comes with trailing stop loss and other features. If you like this project please consider donating via Brave.

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medium_articles

Scripts/Notebooks used for my articles published on Medium

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NostalgiaForInfinity

Trading strategy for the Freqtrade crypto bot

Language:PythonGPL-3.0193400

randomforestbtc

Uses a random forest (RF) regression model to predict bitcoin prices 3 days ahead. Trained on data from 2010-2019.

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deep-q-trader

Trading Bitcoin with Deep Reinforcement Learning

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CryptoAITrader

This repo contains backtesting scripts for various models(mainly LSTM) using different type of datasets to predict bitcoin price.  Upto 98.7% accuracy, but let me tell you it’s not enough to generate profits on a regular basis ;)

Language:Python1800