Algorithmic Trading Systems
Algorithmic trading, also known as automated trading or black-box trading, is a method of executing trades using computer run pre-programmed instructions, called algorithms. These algorithms analyze market data, identify trading opportunities, and execute trades at high speeds.
Algorithmic trading has transformed the financial industry, enabling faster, more efficient, and data-driven trading decisions. Allowing a system to trade a large account requires confidence in the Company that built it. If your Company is looking to implement an algorithmic trading system we can help.
Features:
- Automated: trades are executed without human intervention
- Rule Based: trades are based on predefined rules and criteria
- High Speed: trades are executed rapidly, often in real-time
- Data Driven: trades are based on analysis of large datasets
- Quantitative: trades are based on mathematical models and statistical analysis
Types:
- Trend Following: identifies and follows market trends
- Statistical Arbitrage: exploits price differences between related securities
- Market Making: provides liquidity by buying and selling securities
- High Frequency Trading (HFT): executes trades at extremely high speeds
- Event Driven: trades based on specific events, such as earnings announcements
Benefits:
- Increased speed and efficiency
- Improved accuracy and reduced emotions
- Enhanced scalability and capacity
- Better risk management and control
- Ability to trade 24/7
Trading System Performance
Most trading systems require low-latency, speed of execution, and a high-level of performance. Several key factors come into play to enhance system performance such as: computer hardware, internet connection speed, and the programming language in which the system runs. To reduce runtime overhead we develop our systems primarily with the C/C++ programming languages. C/C++ code is optimized and compiled directly into 'machine code', the code that controls computer hardware. The closer a system is to the hardware the faster the execution.
There are many other techniques to enhance system performance such as: data structuring, data preparation, in memory databases, pre-loaded resources, networking protocols, reducing complexity, etc. If your Company is looking to implement an algorithmic trading system we can help.