A Smarter Way to Trade, Powered by Intelligent Algorithms
A Smarter Way to Trade, Powered by Intelligent Algorithms
AlgoConnect is a technology provider specializing in the development and deployment of rule-based trading systems designed for investors. We build high-performance, systematic algorithms that connect directly to each client’s own trusted futures brokerage account, ensuring full transparency, segregation of funds, and independent custody at all times.
We build algorithms that connect directly in your own trusted futures brokerage account, ensuring full transparency, segregation of funds, and independent custody at all times.
High-performance trading algorithms that connect directly to
your own trusted futures brokerage account.
What Sets AlgoConnect Apart?
What Sets AlgoConnect Apart?
What Sets AlgoConnect Apart?
Built-In Risk Management
Built-In Risk Management
Built-In Risk Management
Each strategy includes predefined risk controls and an integrated kill switch designed to protect capital during adverse market conditions.
Each strategy includes predefined risk controls and an integrated kill switch designed to protect capital during adverse market conditions.
Proprietary Platform & Transparency
Proprietary Platform & Transparency
Proprietary Platform & Transparency
Clients monitor performance in real time and adjust approved parameters—such as risk and activation—within the system.
Clients monitor performance in real time and adjust approved parameters—such as risk and activation—within the system.
Fully Automated Execution
Fully Automated Execution
Fully Automated Execution
All trades are executed automatically by rule-based algorithms developed in-house, with no manual trading or discretionary intervention.
All trades are executed automatically by rule-based algorithms developed in-house, with no manual trading or discretionary intervention.
How Our Infrastructure Works
How Our Infrastructure Works
Signals originate from our server-side systems and flow through the AlgoConnect execution layer, where they are transmitted directly to individual brokerage accounts using secure broker APIs for low-latency execution.
Signals originate from our server-side systems and flow through the AlgoConnect execution layer, where they are transmitted directly to individual brokerage accounts using secure broker APIs for low-latency execution.
of U.S. equity trading volume is executed by algorithmic trading engines.
https://www.bloomberg.com/professional/insights/data/how-real-time-data-is-becoming-the-front-offices-edge/
Source: Bloomberg
of U.S. equity trading volume is executed by algorithmic trading engines.
https://www.bloomberg.com/professional/insights/data/how-real-time-data-is-becoming-the-front-offices-edge/
Source: Bloomberg
Algorithmic trading plays a central role in today’s market structure, with more than 75% of U.S. equity trading volume executed through automated systems. As a result, systematic execution has become a widely adopted approach for managing efficiency and risk.
As a result, systematic execution has become a widely adopted approach for managing efficiency and risk.
Trading in an Evolving Market Landscape
Trading in an Evolving Market Landscape
75%
of U.S. equity trading volume is
executed by algorithmic trading engines.
https://www.bloomberg.com/professional/insights/data/how-real-time-data-is-becoming-the-front-offices-edge/
75%
of U.S. equity trading volume is
executed by algorithmic trading engines.
https://www.bloomberg.com/professional/insights/data/how-real-time-data-is-becoming-the-front-offices-edge/
Frequently Asked Questions →
Frequently Asked Questions →
Frequently Asked Questions →
Find answers to common questions about how AlgoConnect works and what to expect.
Find answers to common questions about how AlgoConnect works and what to expect.
Find answers to common questions about how AlgoConnect works and what to expect.
What is a trading algorithm?
A trading algorithm is a set of programmed rules written in code that automatically analyzes market data and executes trades based on predefined conditions. Instead of relying on human judgment or emotions, a trading algorithm follows precise instructions—such as when to enter or exit a position, how much risk to take, and when to stop trading. These systems operate through automation, allowing strategies to be executed consistently, efficiently, and without manual intervention. Trading algorithms can range from simple rule-based logic to more advanced models developed using quantitative research and data analysis, but they always act according to the rules they are programmed to follow.
Which Brokerages Are Compatible With AlgoConnect?
Clients may connect their accounts through Cannon Trading, a U.S.-based futures brokerage firm registered with the NFA and regulated by the CFTC. Cannon Trading provides access to regulated clearing firms and U.S. exchanges, ensuring that all trading activity takes place within the established regulatory framework of the United States.
How Can I Connect My Brokerage Account To AlgoConnect?
Connecting an algorithm to your brokerage account is designed to be straightforward. Once access is granted through our platform, we provide step-by-step guidance for linking the system to your U.S.-regulated brokerage account, with ongoing support available as needed.
Does AlgoConnect have access to my brokerage account or funds?
No. You retain full control over your brokerage account at all times. AlgoConnect does not have access to your funds, cannot withdraw capital, and cannot view or manage your account balances. The only permission granted to our software is the ability to transmit trade execution instructions from our servers to your brokerage account, based on the parameters you have authorized.
Are the trading algorithms on AlgoConnect different from one another?
Here is a clean, non-plagiarized rephrasing of both the question and the answer, keeping the same meaning and structure, but aligned with AlgoConnect’s institutional tone. Are the trading algorithms on AlgoConnect different from one another? Yes. Each algorithm on AlgoConnect is built around a distinct strategy, meaning the logic behind trade decisions, position sizing, and holding periods can vary significantly from one system to another. Some strategies may trade more frequently, others may hold positions longer, and certain systems may scale into or out of trades based on their design and minimum account requirements. Our algorithms are developed internally using different research approaches and are selected with the objective of minimizing excessive correlation while remaining effective across varying market conditions. While the proprietary logic of each system is protected, we provide sufficient information so users understand how a strategy behaves in terms of risk, trade frequency, and profit-and-loss dynamics. The goal is to help users choose a system that aligns with their comfort level and expectations before enabling execution.
What types of trading strategies are used by AlgoConnect’s algorithms?
Here is a clean, non-plagiarized rephrasing of both the question and the answer, keeping the same intent while matching AlgoConnect’s professional, institutional tone. What types of trading strategies are used by AlgoConnect’s algorithms? Each algorithm operates under its own distinct set of rules and is designed around a specific strategic approach. Our systems span a range of strategy categories, including momentum-based, mean-reversion, and trend-following models, among others. While the underlying logic of each algorithm is proprietary and therefore not disclosed in detail, we provide clear context around the general strategy type so users understand how a system is intended to behave. This approach allows transparency around strategy behavior and market conditions, while protecting the intellectual property that underpins each algorithm.
Can I review the performance of each algorithm before choosing one?
Yes. Performance information for each algorithm is available directly on our platform. All trade signals generated by a system are recorded and reflected in its performance history. Each signal corresponds to trades executed in live brokerage environments, providing visibility into how the algorithm has operated under real market conditions. This allows users to review historical behavior and understand how a strategy has performed over time before enabling execution.
How is position sizing handled within AlgoConnect’s trading systems?
Position sizing is built directly into each strategy as part of its overall risk management framework. Because every algorithm is designed differently, position sizing, scaling behavior, and exposure management can vary from one system to another. Some strategies may enter positions incrementally, while others may deploy their full size at entry and scale out over time. Users also have the ability to define maximum contract limits within the platform, allowing them to cap exposure according to their own risk preferences. While the detailed logic behind trade entries and position sizing remains proprietary, we provide sufficient context so users understand how each system generally manages risk and exposure before enabling execution.
Can adjusting position size affect the performance of a strategy?
Yes, it can. Changing position size limits may result in outcomes that differ from the system’s published performance. For example, if a strategy is designed to trade multiple contracts and position sizes vary between winning and losing trades, reducing or capping contract size can alter the overall risk-to-reward balance and impact results. For this reason, the platform displays each strategy’s default trade settings in the performance records. When users operate a system using its default configuration, the trade history shown on the platform is designed to align with the results reflected in the connected brokerage account. Adjusting these settings may lead to performance differences relative to the published trade log.
How do AlgoConnect’s algorithms manage risk?
Each algorithm incorporates predefined risk management rules as part of its design. Risk controls may vary by strategy and can be based on factors such as fixed price movements, volatility measures (such as average true range), percentage changes, or predefined dollar thresholds. Because each system is built differently, risk behavior can differ across strategies. To help users assess suitability, historical trade data is available so they can review how each system has managed losses and returns over time. In addition, users can apply their own risk limits within the platform—such as setting a maximum dollar loss—to ensure exposure remains within a level they are personally comfortable with.
Do I need to install software or keep my computer running for trades to execute?
No. AlgoConnect operates entirely through cloud-based infrastructure. All algorithms run on our secure servers and transmit execution instructions through the platform directly to your brokerage account. You do not need to download any software or keep a computer powered on. Once your setup is complete and execution is enabled, the system runs independently. Your only involvement is configuring your initial settings and managing risk parameters according to your preferences.
Does AlgoConnect guarantee performance or returns?
No. AlgoConnect does not guarantee any level of performance or profitability. Past performance is not indicative of future results, and trading outcomes can vary based on market conditions and individual settings.
Does AlgoConnect recommend which strategies I should use?
No. Strategy selection is entirely up to the user. AlgoConnect does not provide personalized advice or recommendations and does not direct users toward any specific trading system. Our role is limited to providing access to our trading algorithms and the technology required to connect them to a user’s own brokerage account. To support reliable execution, our infrastructure is designed with redundancy in mind. Our servers operate with battery backup systems, supported by facility-level generator power, as well as redundant fiber-optic internet connections. This multi-layered setup helps ensure high availability and operational continuity, which is a critical component of our platform.
What is a trading algorithm?
A trading algorithm is a set of programmed rules written in code that automatically analyzes market data and executes trades based on predefined conditions. Instead of relying on human judgment or emotions, a trading algorithm follows precise instructions—such as when to enter or exit a position, how much risk to take, and when to stop trading. These systems operate through automation, allowing strategies to be executed consistently, efficiently, and without manual intervention. Trading algorithms can range from simple rule-based logic to more advanced models developed using quantitative research and data analysis, but they always act according to the rules they are programmed to follow.
Which Brokerages Are Compatible With AlgoConnect?
Clients may connect their accounts through Cannon Trading, a U.S.-based futures brokerage firm registered with the NFA and regulated by the CFTC. Cannon Trading provides access to regulated clearing firms and U.S. exchanges, ensuring that all trading activity takes place within the established regulatory framework of the United States.
How Can I Connect My Brokerage Account To AlgoConnect?
Connecting an algorithm to your brokerage account is designed to be straightforward. Once access is granted through our platform, we provide step-by-step guidance for linking the system to your U.S.-regulated brokerage account, with ongoing support available as needed.
Does AlgoConnect have access to my brokerage account or funds?
No. You retain full control over your brokerage account at all times. AlgoConnect does not have access to your funds, cannot withdraw capital, and cannot view or manage your account balances. The only permission granted to our software is the ability to transmit trade execution instructions from our servers to your brokerage account, based on the parameters you have authorized.
Are the trading algorithms on AlgoConnect different from one another?
Here is a clean, non-plagiarized rephrasing of both the question and the answer, keeping the same meaning and structure, but aligned with AlgoConnect’s institutional tone. Are the trading algorithms on AlgoConnect different from one another? Yes. Each algorithm on AlgoConnect is built around a distinct strategy, meaning the logic behind trade decisions, position sizing, and holding periods can vary significantly from one system to another. Some strategies may trade more frequently, others may hold positions longer, and certain systems may scale into or out of trades based on their design and minimum account requirements. Our algorithms are developed internally using different research approaches and are selected with the objective of minimizing excessive correlation while remaining effective across varying market conditions. While the proprietary logic of each system is protected, we provide sufficient information so users understand how a strategy behaves in terms of risk, trade frequency, and profit-and-loss dynamics. The goal is to help users choose a system that aligns with their comfort level and expectations before enabling execution.
What types of trading strategies are used by AlgoConnect’s algorithms?
Here is a clean, non-plagiarized rephrasing of both the question and the answer, keeping the same intent while matching AlgoConnect’s professional, institutional tone. What types of trading strategies are used by AlgoConnect’s algorithms? Each algorithm operates under its own distinct set of rules and is designed around a specific strategic approach. Our systems span a range of strategy categories, including momentum-based, mean-reversion, and trend-following models, among others. While the underlying logic of each algorithm is proprietary and therefore not disclosed in detail, we provide clear context around the general strategy type so users understand how a system is intended to behave. This approach allows transparency around strategy behavior and market conditions, while protecting the intellectual property that underpins each algorithm.
Can I review the performance of each algorithm before choosing one?
Yes. Performance information for each algorithm is available directly on our platform. All trade signals generated by a system are recorded and reflected in its performance history. Each signal corresponds to trades executed in live brokerage environments, providing visibility into how the algorithm has operated under real market conditions. This allows users to review historical behavior and understand how a strategy has performed over time before enabling execution.
How is position sizing handled within AlgoConnect’s trading systems?
Position sizing is built directly into each strategy as part of its overall risk management framework. Because every algorithm is designed differently, position sizing, scaling behavior, and exposure management can vary from one system to another. Some strategies may enter positions incrementally, while others may deploy their full size at entry and scale out over time. Users also have the ability to define maximum contract limits within the platform, allowing them to cap exposure according to their own risk preferences. While the detailed logic behind trade entries and position sizing remains proprietary, we provide sufficient context so users understand how each system generally manages risk and exposure before enabling execution.
Can adjusting position size affect the performance of a strategy?
Yes, it can. Changing position size limits may result in outcomes that differ from the system’s published performance. For example, if a strategy is designed to trade multiple contracts and position sizes vary between winning and losing trades, reducing or capping contract size can alter the overall risk-to-reward balance and impact results. For this reason, the platform displays each strategy’s default trade settings in the performance records. When users operate a system using its default configuration, the trade history shown on the platform is designed to align with the results reflected in the connected brokerage account. Adjusting these settings may lead to performance differences relative to the published trade log.
How do AlgoConnect’s algorithms manage risk?
Each algorithm incorporates predefined risk management rules as part of its design. Risk controls may vary by strategy and can be based on factors such as fixed price movements, volatility measures (such as average true range), percentage changes, or predefined dollar thresholds. Because each system is built differently, risk behavior can differ across strategies. To help users assess suitability, historical trade data is available so they can review how each system has managed losses and returns over time. In addition, users can apply their own risk limits within the platform—such as setting a maximum dollar loss—to ensure exposure remains within a level they are personally comfortable with.
Do I need to install software or keep my computer running for trades to execute?
No. AlgoConnect operates entirely through cloud-based infrastructure. All algorithms run on our secure servers and transmit execution instructions through the platform directly to your brokerage account. You do not need to download any software or keep a computer powered on. Once your setup is complete and execution is enabled, the system runs independently. Your only involvement is configuring your initial settings and managing risk parameters according to your preferences.
Does AlgoConnect guarantee performance or returns?
No. AlgoConnect does not guarantee any level of performance or profitability. Past performance is not indicative of future results, and trading outcomes can vary based on market conditions and individual settings.
Does AlgoConnect recommend which strategies I should use?
No. Strategy selection is entirely up to the user. AlgoConnect does not provide personalized advice or recommendations and does not direct users toward any specific trading system. Our role is limited to providing access to our trading algorithms and the technology required to connect them to a user’s own brokerage account. To support reliable execution, our infrastructure is designed with redundancy in mind. Our servers operate with battery backup systems, supported by facility-level generator power, as well as redundant fiber-optic internet connections. This multi-layered setup helps ensure high availability and operational continuity, which is a critical component of our platform.
What is a trading algorithm?
A trading algorithm is a set of programmed rules written in code that automatically analyzes market data and executes trades based on predefined conditions. Instead of relying on human judgment or emotions, a trading algorithm follows precise instructions—such as when to enter or exit a position, how much risk to take, and when to stop trading. These systems operate through automation, allowing strategies to be executed consistently, efficiently, and without manual intervention. Trading algorithms can range from simple rule-based logic to more advanced models developed using quantitative research and data analysis, but they always act according to the rules they are programmed to follow.
Which Brokerages Are Compatible With AlgoConnect?
Clients may connect their accounts through Cannon Trading, a U.S.-based futures brokerage firm registered with the NFA and regulated by the CFTC. Cannon Trading provides access to regulated clearing firms and U.S. exchanges, ensuring that all trading activity takes place within the established regulatory framework of the United States.
How Can I Connect My Brokerage Account To AlgoConnect?
Connecting an algorithm to your brokerage account is designed to be straightforward. Once access is granted through our platform, we provide step-by-step guidance for linking the system to your U.S.-regulated brokerage account, with ongoing support available as needed.
Does AlgoConnect have access to my brokerage account or funds?
No. You retain full control over your brokerage account at all times. AlgoConnect does not have access to your funds, cannot withdraw capital, and cannot view or manage your account balances. The only permission granted to our software is the ability to transmit trade execution instructions from our servers to your brokerage account, based on the parameters you have authorized.
Are the trading algorithms on AlgoConnect different from one another?
Here is a clean, non-plagiarized rephrasing of both the question and the answer, keeping the same meaning and structure, but aligned with AlgoConnect’s institutional tone. Are the trading algorithms on AlgoConnect different from one another? Yes. Each algorithm on AlgoConnect is built around a distinct strategy, meaning the logic behind trade decisions, position sizing, and holding periods can vary significantly from one system to another. Some strategies may trade more frequently, others may hold positions longer, and certain systems may scale into or out of trades based on their design and minimum account requirements. Our algorithms are developed internally using different research approaches and are selected with the objective of minimizing excessive correlation while remaining effective across varying market conditions. While the proprietary logic of each system is protected, we provide sufficient information so users understand how a strategy behaves in terms of risk, trade frequency, and profit-and-loss dynamics. The goal is to help users choose a system that aligns with their comfort level and expectations before enabling execution.
What types of trading strategies are used by AlgoConnect’s algorithms?
Here is a clean, non-plagiarized rephrasing of both the question and the answer, keeping the same intent while matching AlgoConnect’s professional, institutional tone. What types of trading strategies are used by AlgoConnect’s algorithms? Each algorithm operates under its own distinct set of rules and is designed around a specific strategic approach. Our systems span a range of strategy categories, including momentum-based, mean-reversion, and trend-following models, among others. While the underlying logic of each algorithm is proprietary and therefore not disclosed in detail, we provide clear context around the general strategy type so users understand how a system is intended to behave. This approach allows transparency around strategy behavior and market conditions, while protecting the intellectual property that underpins each algorithm.
Can I review the performance of each algorithm before choosing one?
Yes. Performance information for each algorithm is available directly on our platform. All trade signals generated by a system are recorded and reflected in its performance history. Each signal corresponds to trades executed in live brokerage environments, providing visibility into how the algorithm has operated under real market conditions. This allows users to review historical behavior and understand how a strategy has performed over time before enabling execution.
How is position sizing handled within AlgoConnect’s trading systems?
Position sizing is built directly into each strategy as part of its overall risk management framework. Because every algorithm is designed differently, position sizing, scaling behavior, and exposure management can vary from one system to another. Some strategies may enter positions incrementally, while others may deploy their full size at entry and scale out over time. Users also have the ability to define maximum contract limits within the platform, allowing them to cap exposure according to their own risk preferences. While the detailed logic behind trade entries and position sizing remains proprietary, we provide sufficient context so users understand how each system generally manages risk and exposure before enabling execution.
Can adjusting position size affect the performance of a strategy?
Yes, it can. Changing position size limits may result in outcomes that differ from the system’s published performance. For example, if a strategy is designed to trade multiple contracts and position sizes vary between winning and losing trades, reducing or capping contract size can alter the overall risk-to-reward balance and impact results. For this reason, the platform displays each strategy’s default trade settings in the performance records. When users operate a system using its default configuration, the trade history shown on the platform is designed to align with the results reflected in the connected brokerage account. Adjusting these settings may lead to performance differences relative to the published trade log.
How do AlgoConnect’s algorithms manage risk?
Each algorithm incorporates predefined risk management rules as part of its design. Risk controls may vary by strategy and can be based on factors such as fixed price movements, volatility measures (such as average true range), percentage changes, or predefined dollar thresholds. Because each system is built differently, risk behavior can differ across strategies. To help users assess suitability, historical trade data is available so they can review how each system has managed losses and returns over time. In addition, users can apply their own risk limits within the platform—such as setting a maximum dollar loss—to ensure exposure remains within a level they are personally comfortable with.
Do I need to install software or keep my computer running for trades to execute?
No. AlgoConnect operates entirely through cloud-based infrastructure. All algorithms run on our secure servers and transmit execution instructions through the platform directly to your brokerage account. You do not need to download any software or keep a computer powered on. Once your setup is complete and execution is enabled, the system runs independently. Your only involvement is configuring your initial settings and managing risk parameters according to your preferences.
Does AlgoConnect guarantee performance or returns?
No. AlgoConnect does not guarantee any level of performance or profitability. Past performance is not indicative of future results, and trading outcomes can vary based on market conditions and individual settings.
Does AlgoConnect recommend which strategies I should use?
No. Strategy selection is entirely up to the user. AlgoConnect does not provide personalized advice or recommendations and does not direct users toward any specific trading system. Our role is limited to providing access to our trading algorithms and the technology required to connect them to a user’s own brokerage account. To support reliable execution, our infrastructure is designed with redundancy in mind. Our servers operate with battery backup systems, supported by facility-level generator power, as well as redundant fiber-optic internet connections. This multi-layered setup helps ensure high availability and operational continuity, which is a critical component of our platform.