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Building a Trading System

  • Data collection and warehouse
  • Calculating derived parameters
  • Simple data visualization
  • Building APIs and Python library for R&D
  • Handling big data efficiently
  • Integration with live data feeds
  • Automating order execution

Strategy Development

  • Types of trading strategies (trend-following, mean reversion, etc.)
  • Building a tagging system for trades
  • Backtesting methodologies and tools
  • Risk management strategies
  • Position sizing techniques
  • Developing entry and exit rules
  • Strategy optimization and validation
  • Creating portfolio-based strategies

About Time Series Data

  • Key concepts in time series analysis
  • Seasonality and trends in financial data
  • Stationarity in time series
  • Autocorrelation and lag analysis
  • Handling missing data in time series
  • Time series decomposition
  • Time series forecasting techniques (ARIMA, GARCH)

Mathematics You Need

  • Probability and statistics for trading
  • Random variables and distributions
  • Expected value and variance in trading
  • Bayesian statistics in finance
  • Calculus and its role in financial modeling
  • Linear algebra for matrix-based computations
  • Stochastic calculus for derivative pricing

Machine Learning for Trading

  • Supervised vs. unsupervised learning in trading
  • Feature engineering for trading data
  • Model evaluation and cross-validation
  • Time series forecasting with ML models (LSTM, GRU)
  • Reinforcement learning for trading decisions
  • Algorithmic trading using ML models
  • Combining ML models with financial theory
  • NLP for sentiment analysis on news and social media

Advanced Trading Concepts

  • High-frequency trading strategies
  • Market microstructure and order flow analysis
  • Arbitrage strategies (statistical, pairs, etc.)
  • Event-driven trading and news-based strategies
  • Portfolio theory and diversification
  • Hedging techniques with derivatives
  • Volatility trading and VIX-based strategies

About Finance and Economics

  • Understanding macroeconomic indicators
  • Global market cycles and their impact on asset classes
  • Interest rates, inflation, and monetary policy
  • Behavioral finance and market psychology
  • Key financial ratios for stock analysis
  • Currency markets and forex trading

Books

  • Comprehensive reading list on trading, finance, and quant
  • Top books on trading psychology
  • Books on risk management
  • Quantitative finance classics (e.g., Taleb, Hull, Markowitz)

Podcasts I Listen To

  • List of trading and finance podcasts
  • Recommendations for quantitative finance-related podcasts
  • Trading psychology and mindset podcasts

Quantitative Research and Tools

  • Statistical arbitrage
  • Mean-variance optimization
  • Risk-neutral pricing and options models
  • Using Monte Carlo simulations in trading
  • Factor investing models (momentum, value, quality)

Psychology of Trading

  • Managing emotions while trading
  • Developing mental discipline
  • Overcoming fear and greed in trading
  • Staying objective under market pressure