A set of rules or calculations designed to solve a specific problem or perform a task, crucial for trading strategies.

A method of evaluating securities by analyzing statistics generated by market activity, primarily price and volume.

The process of testing a trading algorithm using historical data to evaluate its effectiveness and performance.

The study of the psychological factors that influence trading decisions, including emotions and biases.

Techniques used to identify, assess, and prioritize risks, ensuring sustainable trading practices.

Statistical measures used in technical analysis to predict future price movements, such as moving averages.

Visual formations created by the price movements of a security, used to predict future movements.

The general direction of market prices, identified as bullish (upward) or bearish (downward).

The study of trading volume to gauge market strength and potential price movements.

Languages used to write algorithms, such as Python, R, or C++, essential for algorithm development.

Frameworks that dictate how algorithms operate, often involving conditional statements like 'if-then'.

The process of identifying and fixing errors in code, crucial for ensuring algorithm functionality.

The accuracy and consistency of data used in backtesting, vital for reliable results.

An order placed to sell a security when it reaches a certain price, used to limit potential losses.

An order to close a position once it reaches a certain profit level, securing gains.

A record of trades and reflections, helping traders analyze their performance and psychology.

The ability to remain calm and rational while trading, essential for effective decision-making.

A structured approach to managing risk, detailing strategies for minimizing potential losses.

Past price and volume information used for backtesting trading algorithms.

Constructive criticism from fellow learners to enhance understanding and improve projects.

Techniques for effectively communicating ideas, crucial for showcasing your trading algorithm.

The activity level of buyers and sellers in the market, often assessed through volume.

The process of reviewing outcomes from backtesting to refine trading strategies.

Plans developed to make trading decisions based on market analysis, often automated in algorithms.

A complete and operational algorithm that executes trades based on predefined criteria.