Lists (29)
AI Coding
Causal
Code from Papers
Courses
Deep Generative Models
Deep Learning
Deribit
DSPy
Free Data
Graph
Jupyter
KNIME
LLMs
LLMs for time series prediction
MacOS
Mamba
ML
Option pricing papers
Options trading
Pretrain
Pretrain Time Series
Python
PyTorch
Quantum
Research
RWKV Time Series
Self-hosted
Time Series
Trading/backtesting
Stars
🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using Agentic Retrieval 🔄.
A handy library for interaction with TradingView using a websocket connection
A tool to extract historical market data from TradingView
high-performance synchronization tool for downloading and managing Binance historical data (klines, trades, etc.) asynchronously. It supports both local and S3 storage with intelligent data optimiz…
This Repository allows to super fast download historical ohlcv data from binance.
Download and collect historical OHLCV candlestick data from Binance Vision
A powerful CLI tool (command line tool ) for downloading cryptocurrency data from Binance's public data repository.
#TheStrat indicators and timeframe aggregation for financial market data
Simplified Binance Futures Testnet Bot in Python to place Market and Limit orders with BUY/SELL options.
High-speed cryptocurrency OHLCV data downloader via concurrent API requests
A Python package designed for easy and efficient downloading of historical market data directly from data.binance.vision.
Aim to create a platform to do: 1. automatically download crypto data from binance 2. organize data using dolphin_db 3. backtest strategies using backtrader 4. trading system 5. portofolio monitor
This Jupyter notebook demonstrates how to interact with the TradingView's own API to manipulate watchlists.
This script aids in crypto narrative hunting by creating TradingView watchlists for each category sourced from CoinGecko
Free, open source, a high frequency trading and market making backtesting and trading bot, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and o…
Boilerplate/Starter code for trading on binance using Machine Learning. Provides a basic pipeline for data gathering, feature creation, training, testing and deployment of ML augmented bots.
Tsururu is a Python-based library that provides a wide range of multi-series and multi-point-ahead prediction strategies, compatible with any underlying model, including neural networks.
MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting (AAAI2024)
Performance analysis of predictive (alpha) stock factors
Learn quantitative finance with this comprehensive lecture series. Adapted from the Quantopian Lecture Series. Uses free sample data.
Performance analysis of predictive (alpha) stock factors
Multi-scale Finetuning for Encoder-based Time Series Foundation Models