Educational Resources on Trading Systems
An overview of the principles and methodologies associated with quantitative analysis, artificial intelligence, and their application in financial markets.
An overview of the principles and methodologies associated with quantitative analysis, artificial intelligence, and their application in financial markets.
A distributed, immutable ledger that facilitates the process of recording transactions and tracking assets in a business network. This section explores its core principles, including decentralization, transparency, and security.
An examination of AI as a field of computer science dedicated to creating systems capable of performing tasks that typically require human intelligence. Key concepts include machine learning, data analysis, and pattern recognition.
An overview of fundamental and technical analysis methodologies used to evaluate financial markets. This material covers the objective assessment of market data to inform strategic decisions.
An in-depth look at the use of mathematical and statistical models to analyze market data. The objective is to identify statistical mispricings or patterns that can be used as the basis for a systematic trading strategy.
A study of trading systems that rely on pre-programmed instructions to execute trades. This section details the process of developing, backtesting, and optimizing rule-based strategies to mitigate emotional decision-making.
Explores the application of machine learning algorithms to analyze vast datasets and identify potential trading opportunities. This includes regression, classification, and reinforcement learning models in a market context.
A critical examination of methodologies for managing risk in a trading portfolio. Topics include position sizing, stop-loss orders, portfolio diversification, and the calculation of risk-reward ratios for systematic strategies.
A procedural overview of the lifecycle of a trading system, from initial hypothesis and data collection to rigorous backtesting, optimization, and final deployment in a simulated or live environment.
An analysis of key metrics used to evaluate the performance of a trading system. This includes Sharpe ratio, Sortino ratio, maximum drawdown, and profit factor, providing a quantitative basis for strategy assessment.