Algorithmic trading framework for cryptocurrencies.
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Updated
Jul 6, 2024 - Python
Algorithmic trading framework for cryptocurrencies.
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Futu Algorithmic Trading Solution (Python) 基於富途OpenAPI所開發量化交易程序
An automated bot for trading on PancakeSwap, created for DeFi enthusiasts and investors who want to optimize their returns on BSC (Binance Smart Chain). It supports risk management features, trailing stops, slip protection, and a user-friendly interface for customizing trading strategies.
crypto currency library for trading & market making bots, account management, and data analysis
A project of using machine learning model (tree-based) to predict short-term instrument price up or down in high frequency trading.
Quantum Finance Library
Limit Order Book Implemented in Python
Implementation of various deep learning models for limit order book. DeepLOB (Zhang et al., 2018), TransLOB (Wallbridge, 2020), DeepFolio (Sangadiev et al., 2020), etc.
Trading and Snipe new tokens on XDAI, ARBITRUM, MATIC, Ethereum(ETH), BASE, BLAST, Binance Smart Chain(BSC), BNB, Solana(SOL), and more, and add automation to your Pancakeswap, Uniswap and more DEX trading. Limit orders, take profit, and stop loss on DEX. Minimal slippage on trades,liqudity mining
Code package to analyze high-frequency trading (HFT) races using financial-exchange message data, following Aquilina, Budish and O'Neill (2021).
Trend Prediction for High Frequency Trading
Repository for market making ideas
Deep learning for price movement prediction using high frequency limit order data
Build your own historical Limit Order Book dataset
High Frequency Jump Prediction Project
My personal collection of strategies
Multidimensional LSTM for High-Frequency Time Series
Calibrate and simulate linear propagator models for the price impact of an extrinsic order flow.
TradR.fun is a free and opensource cryptocurrency price signal prediction application.
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