guyresh Goto Github PK

-developed-models-for-hedge-fund-with-machine-learning-

Deployed machine learning models (Logistic Regression, Random Forest, Gradient Boost, XGBoost, SVM, Neural Network) to manages an institutional grade long/short global equity strategy for the investors in hedge fund

ai-learn-to-invest

Machine Learning Project applied to stock market portfolio optimization

algo_trading

Companion to my medium article series on algorithmic trading strategies

algoloop

Windows desktop algo trading with QuantConnect Lean engine.

algotrading-example

algorithmic trading backtest and optimization examples using order book imbalances. (bitcoin, cryptocurrency, bitmex, binance futures, market making)

alloy-voice-assistant

alphapy

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

antropy

AntroPy: entropy and complexity of (EEG) time-series in Python

apollo-11

Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.

apollo-12

Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules. Tracking the original at upload https://github.com/chrislgarry/Apollo-11

approachingalmost

Approaching (Almost) Any Machine Learning Problem

auto-gpt

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

backtrader

Python Backtesting library for trading strategies

barter-rs

Open-source Rust framework for building event-driven live-trading & backtesting systems

candle

Minimalist ML framework for Rust

ccxt

A JavaScript / TypeScript / Python / C# / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges

chatdev

Create Customized Software using Natural Language Idea (through Multi-Agent Collaboration)

chatglm-6b

ChatGLM-6B：开源双语对话语言模型 | An Open Bilingual Dialogue Language Model

chatgpt_trading_bot

This is the code for the "ChatGPT Trading Bot" Video by Siraj Raval on Youtube

clip

Cross-platform C++ library to copy/paste clipboard content

cnn-lstm_limit_order_book

This notebook contains an independently developed Keras/Tensorflow implementation of the CNN-LSTM model for Limit Order Book forecasting originally proposed by Zhang et al. (https://arxiv.org/pdf/1808.03668.pdf). The current implementation was adopted in the paper written by Briola et al. (https://arxiv.org/pdf/2007.07319.pdf).

code

Golub, Glattfelder and Olsen, ''The Alpha Engine: Designing an Automated Trading Algorithm''

codon

A high-performance, zero-overhead, extensible Python compiler using LLVM

crypto-trading-rl-environment

A Crypto-trading reinforcement learning that explores the potential of using RL agents on a trading environment with multiple markets.

cryptocurrency-machine-learning-prediction-algo-trading

This is a functional trading bot that works by predicting the price of Bitcoin using Machine Learning, and placing trades based on its prediction. It's pretty experimental and largely untested, so please don't yolo.

cxx-qt-playground

A playground repository to test out API changes for cxx-qt

dalai

The simplest way to run LLaMA on your local machine

darshak

data-science-projects

Explore my diverse collection of projects showcasing machine learning, data analysis, and more. Organized by project, each directory contains code, datasets, documentation, and resources. Dive in to discover insights and techniques in data science. Reach out for collaborations and feedback.

dd-wrt

DD-WRT Subversion mirror.