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metaheuristic-based-design-and-optimization-of-low-frequency-technical-trading-system

This study optimizes a low-frequency trading system using PSO and MOEAD algorithms on major cryptocurrencies. Backed by backtrader framework, it employs classical and walk-forward training, outperforming buy and hold in returns and robustness. Valuable for cryptocurrency trading system development.

micrograd

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

mini_genie_ml

mini_hack

mizar-labs

Python library for building financial machine learning models.

ml-foundations

Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

ml-project-2-bogota

ml-project-2-bogota created by GitHub Classroom

ml-recipes

A collection of stand-alone Python machine learning recipes

ml_algo_options_trading

Algo options trading using machine learning.

ml_models_stock_price_prediction

Stock Price Prediction using Machine Learning models (5 in total) + Black-Scholes Option Price model calculator

ml_project_2_deep_hedging

modern-time-series-forecasting-with-python

Modern Time Series Forecasting with Python, published by Packt

momentum-sp22

momgulfing

MomGulfing is a simple momentum and candlestick pattern based trading strategy. Developed on TradingView with PineScript

monorepo

The mitosheet package, trymito.io, and other public Mito code.

mubert-text-to-music

A simple notebook demonstrating prompt-based music generation via Mubert API

mvarch

Multivariate Volatility Models (ARCH) for stock prices and other time series

nautilus_trader

A high-performance algorithmic trading platform and event-driven backtester

nebullvm

🚀 Plug and play modules to boost the performances of AI systems 🚀

neon

Neon: Serverless Postgres. We separated storage and compute to offer autoscaling, branching, and bottomless storage.

neopy

Algorithmic virtual trading using the neostox platform

neuralhft

A Pythonic deep reinforcement learning library for high frequency trading

new-york-stock-exchange-predictions-rnn-lstm

BEST SCORE ON KAGGLE SO FAR. Mean Square Error after repeated tuning 0.00032. Used stacked GRU + LSTM layers with optimized architecture, learning rate and batch size for best model performance. The graphs are self explanatory once you click and go inside !!!

ngrcoydisclosures

Easy access to disclosures of companies quoted on NSE.

nifty-banknifty-intraday-data

One Minute data for Backtesting for NIFTY BankNIFTY

nl2query

A framework for converting natural language text inputs to corresponding Pandas, MongoDB, Kusto and Neo4j (Cypher) queries.

notebooker

Productionise & schedule your Jupyter Notebooks as easily as you wrote them.

notebooks

nse-data

NSE Data with different intervals[1 minute, 3 minute, 5 minute, 10 minute, 15 minute, 30 minute, Hourly, Daily data] are uploaded in this repository from 2015 to Feb 2022. Along with this, Nifty 50 stocks daily data for last 20 years are also uploaded here.

nse-data-zerodha

Minute by Minute Past Data for the National Stock Exchange of India. Property of Zerodha, provided by their KiteConnect API. For research and developmental purposes.