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  • Str01/Top21
  • Str02/SemiLS

I embarked on an exciting path of quantitative analysis, which led me to venture into the field of investment research. Starting with equities, my journey gradually expanded to encompass bonds, alternative investments, and risk management. I realized that investment failures can have significant and long-lasting consequences on individualsโ€™ lives. This realization emphasized the importance of thoroughly understanding the unique characteristics and potential risks associated with any investment tool before incorporating it into oneโ€™s strategy.

bbc's Projects

bt icon bt

bt - flexible backtesting for Python

pyarchive icon pyarchive

Data structures, algorithms, object oriented programming, Python data processing, predictive models, regression analysis, blockchain etc

pydataserver icon pydataserver

ETL tools developed to assist data and quantitative analysis. Script to interact with Oracle Toad and solve Oracle DB Out of Memory error, and run Big Oracle query & download schema seamlessly

pyfolio icon pyfolio

Performance attribution analysis, value investment, original investment ideas, alpha seeking

pyoptionpricing icon pyoptionpricing

Option pricing based on Black-Scholes processes, Monte-Carlo simulations with Geometric Brownian Motion, historical volatility, implied volatility, Greeks hedging

pyquiz icon pyquiz

Original clean and creative solutions to solve brainteasers questions of hedge funds, asset managers, proprietary trading firms, software companies from glassdoor, company sites, quora and reddit

pytrading icon pytrading

Based on the concepts in "CIMTR" and others, swing trading

pyundefined icon pyundefined

option pricing simulations, data processing, analysis, visualisation, games and puzzles

qfrm icon qfrm

Python tools to quantitatively manage financial risk

sector-rotation-rnn icon sector-rotation-rnn

A simple, self-coded recurrent neural network that uses weekly changes in 10 major sector ETFs to predict which sectors will grow in the coming weeks.

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