sharavsambuu

sharavsambuu's Stars

• google/mesop

  Rapidly build AI apps in Python

  Language:Python5.9k36505299

• bklieger-groq/g1

  g1: Using Llama-3.1 70b on Groq to create o1-like reasoning chains

  Language:Python4.2k5415378

• Deep-Agent/R1-V

  Witness the aha moment of VLM with less than $3.

  Language:Python3.2k46134254

• pmorissette/bt

  bt - flexible backtesting for Python

  Language:Python2.4k94346442

• erikrose/parsimonious

  The fastest pure-Python PEG parser I can muster

  Language:Python1.9k39166133

• ScottfreeLLC/AlphaPy

  Python AutoML for Trading Systems and Sports Betting

  Language:Python1.4k6844235

• barter-rs/barter-rs

  Open-source Rust framework for building event-driven live-trading & backtesting systems

  Language:Rust1.2k3563186

• jasonacox/tinytuya

  Python API for Tuya WiFi smart devices using a direct local area network (LAN) connection or the cloud (TuyaCloud API).

  Language:Python1.2k28355204

• textX/textX

  Domain-Specific Languages and parsers in Python made easy http://textx.github.io/textX/

  Language:Python7872621276

• 0xfdf/toraniko

  A multi-factor equity risk model for quantitative trading.

  Language:Python694214185

• talwat/lowfi

  An extremely simple lofi player.

  Language:Rust69174329

• Heerozh/spectre

  GPU-accelerated Factors analysis library and Backtester

  Language:Python6762124114

• lit26/finvizfinance

  Finviz analysis python library.

  Language:Jupyter Notebook586116498

• fja05680/sp500

  Current and Historical Lists of S&P 500 components since 1996

  Language:Jupyter Notebook528297132

• sethmlarson/virtualbox-python

  Complete implementation of VirtualBox's COM API with a Pythonic interface.

  Language:Python3601511679

• davidusb-geek/emhass

  emhass: Energy Management for Home Assistant, is a Python module designed to optimize your home energy interfacing with Home Assistant.

  Language:Python3591623082

• jerryxyx/AlphaTrading

  An workflow in factor-based equity trading, including factor analysis and factor modeling. For well-established factor models, I implement APT model, BARRA's risk model and dynamic multi-factor model in this project.

  Language:Jupyter Notebook353131141

• wukan1986/polars_ta

  Technical Analysis Indicators for polars

  Language:Python1416726

• ranaroussi/futuresio-webinars

  Supported files and code examples for my futures.io webinars series

  Language:Jupyter Notebook6813134

• russs123/lower_highs

  Backtest for buying after multiple lower highs

  Language:Jupyter Notebook278

• s-kust/python-backtesting-template

  Trading strategy template that uses the Python backtesting library

  Language:Python253

• alienarena/alienarena

  Ultra fast-paced arena FPS game

  Language:C18314

• drui9/tickterial

  Download tick data from Dukascopy Bank SA

  Language:Python17234

• QuantJourneyOrg/public

  Quant Journey Public Files

  Language:Python12103

• justinhou95/TimeCausalVAE

  Time-Causal VAE

  Language:Jupyter Notebook7102

• szkafander/finance_cython_funcs

  Cython functions for backtesting trading strategies and analyzing stock signals.

  Language:Python4201

• Filip303/Trading

  Some strategies that I thought in the past

  Language:Jupyter Notebook21

• Filip303/Final-Thesis-Degree-and-Masters-

  Language:Jupyter Notebook11

• Filip303/Portfolio-Management

  Language:Jupyter Notebook12

• fxmc/backtest_comparison

  Timing different simple backtest implementations

  Language:C1101