FrequentHippos/freqtrade_hyperliquid_download-data

Size: 4.3 GB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 4 - Forks: 0

jialuechen/openlpa

Liquidity Provision Analytics Python Library Beyond TCA

Language: Python - Size: 1.97 MB - Last synced at: 14 days ago - Pushed at: about 1 month ago - Stars: 102 - Forks: 14

liz-song/kpoms-hyundai-case-competition

An award-winning solution proposal for optimizing vertiport site selection in Urban Air Mobility (UAM) using multi-source data analysis and platform integration. Recognized at the 9th Hyundai Motors University Case Competition.

Size: 1.71 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

midassystems/midastrader

A robust backtesting and live trading engine designed for seamless strategy development and deployment. It supports user-defined strategies, multi-threaded execution, and integrations with brokers and data sources.

Language: Python - Size: 5.34 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 1

dysonance/Strategems.jl

Quantitative systematic trading strategy development and backtesting in Julia

Language: Julia - Size: 741 KB - Last synced at: 7 days ago - Pushed at: about 4 years ago - Stars: 162 - Forks: 38

silvia-maier/causable

Causable offers training, sparring, and strategy consulting for executive boards and leaders

Language: HTML - Size: 4.92 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 1

gokulghate/telcom-churn-analysis-using-SVM-algorithm

With the enormous increase in the number of customers using telephone services, the marketing division for a telcom company wants to attract more new customers and avoid contract termination from existing customers. This churn prediction model would be able to provide clarity to the telcom company on how well it is retaining its existing customers and understand what are the underlying reasons that are causing existing customers to terminate their contract (high churn rate).

Language: Jupyter Notebook - Size: 2.4 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

Peppershaker/turning_around_polish_grocer

🍇🍉🦞Revenue optimization through recommender system. Recommended trategic reposition into a specialty retailer .🥬🥦🌶️

Language: Jupyter Notebook - Size: 3.97 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

dsinyakov/quant

Codera Quant is a Java framework for algorithmic trading strategies development, execution and backtesting via Interactive Brokers TWS API or other brokers API

Language: Java - Size: 167 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 158 - Forks: 58

GameRocket/RTS 📦

RTS - real-time strategy sample game project. Here are all the necessary scripts and prepared settings for controlling the camera, selecting and destroying objects, units movements, building placement and much more.

Language: C# - Size: 2.68 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0

emskiphoto/Alpaca-Strategy-Development

Query and process Alpaca OHLCV data. Add features, identify principal components and develop trade algorithm

Language: Jupyter Notebook - Size: 2.62 MB - Last synced at: 5 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 1