TradeTutor

Intelligent strategy simulation for investors

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Coming later this year

TradeTutor is designed to help retail traders from any background build simulated strategies on hundreds of instruments. No coding required.

In partnership with [AI] Analytics Intelligence
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Your gateway to learning algorithmic trading

Unleash Strategies
Harness TradeTutor’s simple drop-down functionality and conversational prompts to create, test and improve your algorithmic trading strategies.

Back Test Real Data
Simulate historic performance for hundreds of instruments using real market data from the London Stock Exchange.

Stress Test Instantly
Leverage TradeTutor’s key metrics to gain instant insights into strategy robustness under different market conditions.

Tailor Risk Criteria
Customise strategies based on specific risk criteria to align simulations with your individual risk tolerance.

Screenshot of a trading strategy simulator dashboard showing a candlestick price chart over time, with controls for strategy type, symbol, date range, buy and sell prices, and an option to regenerate results.

How does TradeTutor work

User-friendly interface

Easy-to-navigate drop-down menu making algorithmic strategies accessible to traders of all levels.

No-code environment

Chat-based interface delivers easy-to-understand results, allowing you to focus on strategy development.

Data-driven decisions

Powered by real market data, ensuring your strategies produce accurate simulated profit and loss results.

Continuous improvement

Easily refine and optimise strategies, helping you to evolve with dynamic market conditions.

Frequently asked questions

Everything you need to know

  • To create an account, visit the TradeTutor homepage and, fill in the required details.

  • Yes, navigate through your account settings to update personal information or modify subscription preferences. Ensure to keep your login credentials secure and regularly review account activity for security purposes.

  • TradeTutor provides a suite of tools for strategy development, optimisation, and backtesting simulations. These include saved strategies, history logs, indicator selection, symbol specification, and date selection.

  • TradeTutor employs a user-friendly chat interface for backtesting simulations. Users can input natural language commands to specify trade parameters, indicators, symbols, and testing criteria. The chatbot provides assistance and maintains a history of commands for a streamlined workflow.

  • After initiating a backtest with a specified strategy, TradeTutor generates comprehensive trade outcome reports. These reports include detailed tables offering insights into individual trade outcomes, profit and loss, and descriptive analysis.

  • Yes, users can store refined strategies within the platform for future deployment. Access and reuse saved strategies for running additional tests or applying them in real-time trading scenarios.

  • TradeTutor relies on historical data and simulations. Real market conditions may vary, and unforeseen events or sudden market shifts may affect the performance of strategies. Traders should interpret results with awareness of these inherent limitations and consider real-time market dynamics when implementing strategies.

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Still have questions?

Can’t find the answer you’re looking for? Please chat to our friendly team.

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