NEW CASTLE, DE — Tactfolio Inc. has launched an artificial intelligence-compatible investment platform that allows individual investors to develop, test and automate stock trading strategies without programming experience, expanding access to tools for rules-based portfolio management.
The Delaware-based company combines AI-assisted strategy development with historical market simulations and automated brokerage execution, allowing users to move from written investment instructions to structured trading rules.
The platform supports AI assistants using the Model Context Protocol, or MCP, a technology standard that enables AI systems to interact with external software and services.
Through that integration, investors can describe a trading strategy in ordinary language and have a compatible AI assistant translate the instructions into rules that can be reviewed, modified and tested.
Tactfolio also provides a visual strategy builder for users who prefer to construct investment rules manually.
The system is designed to address a limitation of conventional trading software, which often requires programming knowledge or specialized technical tools to develop and evaluate automated strategies.
Rather than allowing AI models to make unrestricted investment decisions, Tactfolio converts strategies into readable rules that remain subject to user review.
AI assistants can create, test and save strategies but cannot independently authorize live trading.
The distinction separates the development of investment strategies from decisions to execute transactions using actual capital.
Tactfolio’s historical backtesting system allows investors to evaluate strategies against decades of market data before activating them.
The simulations incorporate daily stock prices, estimated trading costs, portfolio performance and drawdown measurements, which track declines from previous portfolio values.
Those calculations allow users to examine how a strategy would have performed under different historical market conditions, including periods of declining asset prices.
The platform also includes paper trading, enabling users to monitor simulated transactions without committing money to the market.
After evaluating a strategy, eligible investors can connect their own Alpaca brokerage accounts to execute trades automatically according to predefined rules.
Automated stock trading operates on a daily schedule rather than through intraday or high-frequency transactions.
Users maintain control of their brokerage accounts and determine which strategies are authorized for live execution.
The platform supports several methods of developing investment strategies, including manually constructed rules, AI-generated strategies and approaches shared by other users.
An accompanying strategy library includes established investment methods that users can examine, modify and evaluate through historical testing.
Tactfolio’s approach emphasizes transparency by displaying the rules underlying each strategy instead of presenting investment recommendations without an explanation of how they were generated.
The company is positioning the platform for individual investors interested in systematic trading but lacking the programming expertise traditionally associated with developing automated investment systems.
Tactfolio is available at https://tactfolio.com, with free strategy-building and historical backtesting options.
Historical simulations represent hypothetical performance rather than actual investment results and do not guarantee that a strategy will produce similar outcomes in future market conditions.
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