Creating Algorithm-Based Trading Strategies: How Novice Traders Can Benefit

AI Stock Trading

Algorithmic trading has become a popular approach among investors and traders alike due to its ability to take advantage of volatile markets and swiftly identify profitable opportunities. An algorithm is essentially a computer program that uses data derived from market activity in order to create and execute trades. By applying a consistent and specific set of rules, an algorithm can identify patterns and decisions for maximizing profits or minimizing losses depending on individual preferences.

In this article, we will discuss how to create an algorithm-based trading strategy and the various ways in which novice traders can benefit from its implementation. We will also compare different strategies as context for its application.

The Rules that Make Up an Algorithm

When crafting an algorithm-based trading strategy, it is important to follow a defined set of rules and leverage sophisticated tools that are available. These rules can range from fundamental rules, evaluation methods, and selection rules to execution policies. Fundamental rules help traders create trading strategies based on the movement of fundamental values such as basic stock figures, insider information, etc. Evaluation methods help traders backtest their strategies in order to assess their overall performance with real market data. Selection rules help traders identify what stocks or other securities should be bought and sold. Finally, execution policies help traders specify when to enter and exit trades.

How Novice Traders Can Benefit from Algorithm-based Strategies

It is very easy for traders to take advantage of algorithmic trading once the rules have been established. By leveraging the power of computers for pulling and analyzing data and executing trades, inexperienced traders have the ability to quickly identify the optimal strategy for their portfolios and maximize their profitability.

Furthermore, algorithm-based trading strategies are not only limited to experienced traders. By monitoring the market continuously, novice traders can obtain valuable insights from highly experienced traders, ultimately helping them make better decisions.

Comparing Strategies

When it comes to algorithm-based trading strategies, there are two main philosophies: Fundamental Analysis and Technical Analysis. Fundamental analysis relies on data provided by financial reports such as current earnings and revenue growth while technical analysis considers the historical data of securities and their movements. While fundamental analysis focuses on underlying variables, such as average price, profit margins, and dividends, technical analysis requires more sophisticated tools and more frequent trading.


Algorithm-based trading strategies are a powerful tool that can benefit traders of all levels. By leveraging sophisticated tools and following a consistent set of rules, novice traders can gain invaluable insights and maximize their profitability. Additionally, algorithm-based strategies also provide traders with the flexibility to choose between the Fundamental and Technical Analysis approaches, giving them the freedom to find the optimal strategy for their portfolios.