InvesCapInt
creating success one automated algorithm at a time.
Our Strategy for Success
01
Market Analysis & Research
Understanding the markets is the first step to successful algorithmic trading. Our team conducts in-depth research and analysis to identify profitable opportunities across Forex, Indices, and Metals. We leverage historical data, technical patterns, and market conditions to build robust trading models
02
Strategy Development
With a solid foundation of market research, we design and refine trading strategies using advanced AI-assisted technology. Our strategies are built to align with your trading goals, focusing on risk management, profitability, and adaptability to different market conditions.
03
Algorithm Deployment & Execution
Our execution phase involves rigorous backtesting and seamless deployment of trading strategies. We integrate our automated solutions into platforms like TradeStation, MetaTrader 4, and MetaTrader 5, ensuring smooth operation and optimal trade execution.
04
Continuous Optimization & Support
Trading is an evolving landscape, and we are committed to ongoing monitoring and refinement. We provide continuous support to optimize strategy performance, adjust to market dynamics, and ensure long-term profitability for our clients.
We Work On Any Trading Project-Big or Small
No strategy is too simple, and no portfolio is too complex. We pride ourselves on delivering tailored algorithmic solutions that meet your specific trading objectives. Whether you’re refining an existing strategy or seeking a fully automated system, we ensure every project benefits from cutting-edge technology and AI-assisted optimizations.
What are Trading Bots / Algo Trading Bot
Formally known as Algorithmic Automated Trading Tools also known as expert advisors (EAs), are automated systems designed to execute trades in the market. These systems operate based on algorithmic signals that determine when to open and close trades over a set timeframe, without requiring human input.
The concept of algorithmic trading dates back to the 1980s and 1990s, when advancements in computer technology enabled faster and more automated trading processes.
Interesting Insights:
- A signal traveling via a fibre-optic cable between New York and Chicago takes approximately 6.55 milliseconds.
- Some companies now use micro-radio waves to reduce this time further. With this technology, the signal can cover the same distance in just 4.25 milliseconds, offering a significant competitive edge in Forex trading.
- Spread Networks invested $300 million to install a fibre-optic cable along the shortest route between Chicago and New York, even tunnelling through a mountain to achieve this. This reduced signal transit time to just 3 milliseconds.
High-frequency trading (HFT) Forex robots earn an average of 0.09 cents per trade. With a trade execution speed of 260 milliseconds, these robots can execute around 5,000 trades within that time frame.
HFT robots, machine learning, and artificial intelligence are responsible for 60–80% of the total trading volume, according to various estimates. However, providing exact figures is challenging due to the sheer number of transactions, some of which may violate trading regulations, and the inability of regulators to monitor millions of trades executed within milliseconds.
For individual traders, Forex trading bots serve a similar purpose. Their primary function is to execute trades instantly, eliminating the time needed for human analysis and decision-making. These bots also automate the trading process entirely, reducing the emotional strain associated with trading and saving valuable time.
What are Algorythmic Automated Trading Tools
What are Trading Bots / Algo Trading Bots
Formally known as Algorithmic Automated Trading Tools also known as expert advisors (EAs), are automated systems designed to execute trades in the market. These systems operate based on algorithmic signals that determine when to open and close trades over a set timeframe, without requiring human input.
The concept of algorithmic trading dates back to the 1980s and 1990s, when advancements in computer technology enabled faster and more automated trading processes.
Interesting Insights:
- A signal traveling via a fibre-optic cable between New York and Chicago takes approximately 6.55 milliseconds.
- Some companies now use micro-radio waves to reduce this time further. With this technology, the signal can cover the same distance in just 4.25 milliseconds, offering a significant competitive edge in Forex trading.
- Spread Networks invested $300 million to install a fibre-optic cable along the shortest route between Chicago and New York, even tunnelling through a mountain to achieve this. This reduced signal transit time to just 3 milliseconds.
High-frequency trading (HFT) Forex robots earn an average of 0.09 cents per trade. With a trade execution speed of 260 milliseconds, these robots can execute around 5,000 trades within that time frame.
HFT robots, machine learning, and artificial intelligence are responsible for 60–80% of the total trading volume, according to various estimates. However, providing exact figures is challenging due to the sheer number of transactions, some of which may violate trading regulations, and the inability of regulators to monitor millions of trades executed within milliseconds.
For individual traders, Forex trading bots serve a similar purpose. Their primary function is to execute trades instantly, eliminating the time needed for human analysis and decision-making. These bots also automate the trading process entirely, reducing the emotional strain associated with trading and saving valuable time.
How Do Trading Bots Work?
A Trading robot, also called an automated trading advisor, is a program designed to execute trades based on algorithmic signals. These bots perform various tasks, including:
- Processing large data sets instantly: Some fully automated Forex robots can even conduct fundamental analysis.
- Automating trading tasks: They eliminate the need for manual trading by executing trades automatically.
- Managing risks effectively: Built-in risk management systems help minimize emotional decision-making during trades.
A fully automated trading advisor functions strictly according to its programmed code. Basic Forex robots include a few settings, such as trade volume parameters, triggers for specific events, and stop-order placements. Advanced robots, on the other hand, incorporate more complex features and multiple strategies. For instance, they might include separate modules for different trading approaches, spread monitoring, or automatic adjustment of settings in response to market changes.
Example:
Imagine you’ve developed a trading strategy where signals to open a trade occur when the stochastic oscillator rises above “80” and two moving averages with different periods intersect. You set stop-loss orders 20 points away and target a profit of 30 points. A programmer can translate this strategy into a coded system. Once installed and activated on a trading platform, the robot will execute these tasks independently, following the parameters you’ve outlined.
For a deeper dive into the types of Forex trading advisors, check out this review.
Do Automated Trading Robots Actually Work?
There are countless paid and free automated trading robots available online. However, it’s unrealistic to expect all of them to be profitable. The effectiveness of these robots largely depends on the trader’s ability to configure settings correctly, identify when to pause the bot, evaluate risks, and understand its functionality. A trading robot is not a magic solution—it’s a tool designed to simplify trading for those who know how to use it properly. For those unfamiliar with its operation, misuse can lead to significant losses, much like the “monkey with a grenade” analogy.
How to Learn and Effectively Use Trading Robots:
- Start with free options: Familiarize yourself with the custom technical indicators used by the robot, such as its compatibility with assets and timeframes, the formation of trading signals, calculation of trade volumes, and risk management parameters.
- Practice with a demo account: Use a demo account to test the bot until you achieve the desired results or at least understand the principles of algorithmic trading.
- Test the robot on a live account: Begin with a cent account to test its performance. Look for positive equity growth and reliable statistics. If performance declines, analyse the reasons and adjust accordingly.
When Trading Robots Are Useful:
- Scalping and High-Frequency Trading (HFT): These robots are ideal for strategies where rapid trade execution and decision-making speed are critical. They are also often used during price acceleration events, such as in cryptocurrency trading.
- Combining manual and automated strategies: While the robot handles automated trades, you can simultaneously execute manual trades. Keep in mind that trades opened by the robot will reduce your margin level.
- Automating a proven strategy: If you have a reliable manual trading strategy, you can translate it into code (basic programming skills may be needed). This automation saves time and could potentially make the strategy marketable if backed by account performance data.
Over time, traditional trading robots are being replaced by neural networks with machine learning capabilities. These advanced systems analyse input data, evaluate thousands of mathematical algorithms, and adapt to changing market conditions. Currently, the most sophisticated robots are primarily used by major investment firms.