Algo Trading Lesson for Absolute Beginners

Algo Trading for Absolute Beginners

What is Algo Trading?

Algorithmic trading, also known as algo trading or automated trading, involves the use of computer programs to execute trades automatically based on predetermined rules. These rules can be based on a variety of factors, such as timing, price, and volume. Algorithmic trading is often used to help execute large orders, to take advantage of small price discrepancies, or to trade at times when a trader may not be available to do so.


There are several steps involved in the process of algorithmic trading:

  1. Developing a trading strategy: This involves defining the rules that will be used to buy and sell securities. This may include identifying the types of securities to trade, the levels at which to enter and exit trades, and the risk management strategies to use.
  2. Coding the algorithm: Once the trading strategy has been defined, it must be translated into code that can be executed by a computer. This is typically done using a programming language such as Python or C++.
  3. Backtesting the algorithm: Before using the algorithm to trade live, it is often tested using historical data to see how it would have performed in the past. This can help to identify any potential problems and refine the algorithm as needed.
  4. Live trading: Once the algorithm has been tested and is ready for live trading, it is deployed on a trading platform and begins executing trades automatically.
  5. There are a number of benefits to algorithmic trading, including the ability to execute large orders quickly and efficiently, the ability to trade around the clock, and the ability to take advantage of small price discrepancies that may not be possible for a human trader to exploit. However, it is important to carefully test and monitor algorithmic trading systems to ensure that they are functioning as intended.

Which Software used for Algo Trading?

Some commonly used software for algo trading include:
  • MetaTrader: A popular platform for forex and CFD trading that offers a range of built-in algorithmic trading tools and the ability to create custom strategies.
  • AmiBroker: A technical analysis software that allows traders to create, backtest, and optimize algorithmic trading strategies.
  • NinjaTrader: A platform for futures, forex, and stock trading that includes a range of algorithmic trading tools and the ability to create custom strategies.
  • TradeStation: A platform for futures, options, and equities trading that includes a range of algorithmic trading tools and the ability to create custom strategies.
  • Zorro: A software platform for algorithmic trading that allows traders to create, backtest, and optimize strategies using a range of programming languages.
  • QuantConnect: A cloud-based platform that allows traders to create, backtest, and optimize algorithmic trading strategies using a range of programming languages.
  • Quantopian: A cloud-based platform that provides tools for creating and testing algorithmic trading strategies using Python.
  • QuantConnect: A cloud-based platform that allows traders to create, backtest, and optimize algorithmic trading strategies using a range of programming languages.

Which Programming Languages used for Algo Trading?

Some popular programming languages used for algo trading include:
  • Python: Python is a widely used programming language in the finance industry, including algo trading. It is known for its simplicity, readability, and flexibility, which makes it an ideal choice for developing complex trading strategies.
  • C++: C++ is a high-performance programming language that is commonly used in algo trading due to its speed and efficiency. It is a powerful language that allows traders to create fast and reliable algorithms that can handle large amounts of data.
  • Java: Java is another popular programming language used in algo trading. It is known for its portability, meaning that it can be run on any device that has a Java Virtual Machine (JVM) installed.
  • C#: C# is a modern, object-oriented programming language that is commonly used in algo trading. It is known for its strong type system, which helps to prevent errors and improve the stability of trading algorithms.
  • R: R is a programming language specifically designed for statistical computing and data analysis. It is widely used in algo trading for developing and testing trading strategies, as well as for analyzing large datasets and performing backtesting.
  • MQL:- MQL, or MetaQuotes Language, is a programming language specifically designed for creating technical indicators and automated trading strategies for use in the MetaTrader platform. It allows traders to create custom algorithms and scripts to automate their trades based on specific market conditions, as well as to analyze and visualize market data in real-time. MQL is used by both professional and retail traders to improve their trading efficiency and profitability.
if we consider the prime programming language "Python" for Algo Trading, then


Which Python Packages used for Algo Trading?

Some popular Python packages used for algorithmic trading include:

Pandas: A data manipulation and analysis library that is often used to clean and prepare financial data for analysis.

NumPy: A numerical computing library that is useful for performing mathematical operations on large arrays of data.

SciPy: A library for scientific computing that provides functions for optimization, statistical analysis, and other useful tools for trading algorithms.

Matplotlib: A data visualization library that can be used to create graphs and charts to help analyze financial data.

scikit-learn: A machine learning library that can be used to build predictive models for trading algorithms.

Zipline: An open-source backtesting library that allows users to test their trading algorithms against historical data.

PyAlgoTrade: A backtesting and live trading library that provides a framework for developing and testing trading strategies.

pyfolio: A library for analyzing and evaluating portfolio performance and risk.

Quantopian: A platform that provides tools and resources for developing, testing, and executing trading algorithms.