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biskecz/README.md
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about

15-year-old student & aspiring quant developer focused on Python, quantitative finance, and algorithmic trading.

Building practical projects around market data, trading strategies, backtesting, and performance analysis while learning the fundamentals behind quantitative and HFT systems.

my social media

Youtube: https://www.youtube.com/@biskeczzz

core skills

Python pandas NumPy Git Linux

  • languages: Python 路 C++
  • data & quant: pandas 路 NumPy 路 yfinance 路 financial time series 路 backtesting 路 performance analysis
  • trading: technical indicators 路 SMA strategies 路 transaction costs 路 risk metrics
  • tools: Git 路 GitHub 路 Linux
  • current focus: building quantitative Python projects, learning C++ fundamentals for high-performance trading systems, and starting to learn HTML & CSS for web development (now only for school)

featured project

SMA Backtester

A modular Python backtesting system for evaluating moving-average crossover strategies on historical market data.

Features:

  • configurable fast/slow SMA periods
  • BUY / SELL signal generation
  • transaction costs
  • CAGR and performance metrics
  • maximum drawdown analysis
  • Sharpe ratio
  • trade statistics
  • strategy vs. Buy & Hold comparison
  • performance and drawdown charts

github stats

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  1. Sma-backtester Sma-backtester Public

    Python