mirror of
https://github.com/wilsonfreitas/awesome-quant.git
synced 2026-07-27 20:07:50 +00:00
Added Intelligent Trading Bot
This commit is contained in:
@@ -141,6 +141,7 @@ A curated list of insanely awesome libraries, packages and resources for Quants
|
||||
- [OctoBot Script](https://github.com/Drakkar-Software/OctoBot-Script) - A quant framework to create cryptocurrencies strategies - from backtesting to optimisation to livetrading.
|
||||
- [hftbacktest](https://github.com/nkaz001/hftbacktest) - A high-frequency trading and market-making backtesting tool accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books.
|
||||
- [vnpy](https://github.com/vnpy/vnpy) - VeighNa is a Python-based open source quantitative trading system development framework.
|
||||
- [Intelligent Trading Bot](https://github.com/asavinov/intelligent-trading-bot) - Automatically generating signals and trading based on machine learning and feature engineering
|
||||
|
||||
### Risk Analysis
|
||||
|
||||
@@ -514,4 +515,4 @@ A curated list of insanely awesome libraries, packages and resources for Quants
|
||||
- [financialnoob-misc](https://github.com/financialnoob/misc) - Codes from @financialnoob's posts
|
||||
- [MesoSim Options Trading Strategy Library](https://github.com/deltaray-io/strategy-library) - Free and public Options Trading strategy library for MesoSim.
|
||||
- [Quant-Finance-With-Python-Code](https://github.com/lingyixu/Quant-Finance-With-Python-Code) - Repo for code examples in Quantitative Finance with Python by Chris Kelliher
|
||||
- [QuantFinanceTraining](https://github.com/JoaoJungblut/QuantFinanceTraining) - This repository contains codes that were executed during my training in the CQF (Certificate in Quantitative Finance). The codes are organized by class, facilitating navigation and reference.
|
||||
- [QuantFinanceTraining](https://github.com/JoaoJungblut/QuantFinanceTraining) - This repository contains codes that were executed during my training in the CQF (Certificate in Quantitative Finance). The codes are organized by class, facilitating navigation and reference.
|
||||
|
||||
Reference in New Issue
Block a user