aizwellenstan
๐ด Empower your trading with our Algorithmic Trading Solutions for fundamental data-driven decisions, automated position sizing, and streamline
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Pinned Repositories
aizwellenstan's Repositories
aizwellenstan/OptionStrategies
https://ibkr.com/referral/zhenwei375
aizwellenstan/aizwellenstan
aizwellenstan/cpp_option_gamma_analysis
aizwellenstan/cpp_OptionBacktest
aizwellenstan/icir
aizwellenstan/aizwellenstan.github.io
VRM_Viewer
aizwellenstan/aizwellenstan.github.io_ori
aizwellenstan/aizwellenstan_lts
aizwellenstan/arbitragelab
ArbitrageLab is a python library that enables traders who want to exploit mean-reverting portfolios by providing a complete set of algorithms from the best academic journals.
aizwellenstan/business_calendar
aizwellenstan/cot_reports
aizwellenstan/cpp_csv
aizwellenstan/DividendTaxCalculator
aizwellenstan/InteractiveBrokersApi
aizwellenstan/jquants-api-client-python
aizwellenstan/Lean
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
aizwellenstan/MLTradingBot
aizwellenstan/my_shioaji
aizwellenstan/Optiver-Realized-Volatility-Prediction
Order Book and Trade Book, Realized Volatility, Random Forest
aizwellenstan/PatternPy
๐ PatternPy: A Python package revolutionizing trading analysis with high-speed pattern recognition, leveraging Pandas & Numpy. Effortlessly spot Head & Shoulders, Tops & Bottoms, Supports & Resistances. For experts & beginners. #TradingMadeEasy ๐ฅ
aizwellenstan/ProtectivePuts
aizwellenstan/python_inpliedVol
aizwellenstan/python_postman_request
aizwellenstan/QuantLib
The QuantLib C++ library
aizwellenstan/stock_tracker2
aizwellenstan/ta
Technical Analysis Library using Pandas and Numpy
aizwellenstan/ttm-squeeze
TTM Squeeze Scanner For Stocks in Python using Pandas and YFinance
aizwellenstan/U.S.-Treasury-Data-Analyst
Inflation Trend, Economic Outlook, Fed Policy, Market Yield
aizwellenstan/worldquant-brain-simulator
This is a simulator to help with backtesting your alphas offline for platform WorldQuant Brain
aizwellenstan/yfinance_fundamental