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Horizon

AI Finance

Horizon is an AI tool that builds, backtests, and automates trading strategies in natural language. It allows users to describe stocks, crypto assets, or forex strategies in plain language, with backtesting and automated trading exploration. It is suitable for quantitative trading learners, trading strategy researchers, and investment users who want to test their strategies in low-code, as well as for validation and organization in trading strategy building, historical backtesting, strategy automation, stock and crypto market research. Before using it, you need to note that backtesting does not represent future returns, and automated trading risks are high, so AI strategies should not be used as investment advice, especially boundaries such as data sources, material authorization, result review, account permissions, or payment limits. It is suitable for strategy research and learning, and risks should be strictly controlled before real trading.

Before actually choosing Horizon, users need to determine what kind of task it solves: describing and testing trading strategy ideas in natural language. It is suitable as a work aid with clear boundaries, not as a substitute for all human judgment; The clearer the input content, business constraints, and review process, the easier it is for the results to be translated into real-world scenarios.

Core competencies and usage boundaries

What can be done mainly

Horizon's core capabilities focus on AI trading strategy generation, backtesting, automated trading, stock crypto, and forex strategy research. These tools are better suited for processing duplicates, first draft generation, candidates, or initial evaluations, and then allowing users to continue filtering and correcting.

  • Strategies can be built in plain language.
  • Support for historical backtesting for initial verification.
  • Covers a wide range of markets and trading styles.
  • Real trading requires independent risk control.

Which scenarios are suitable for

It is suitable for strategy prototyping, trading learning, backtesting and comparison, and automated trading experiments. If you are an individual user, you can use it to reduce trial and error from scratch; If it is used by a team, it is more suitable as a precursor to the existing process, so that subsequent review, communication or delivery is more reliable.

Suitable for people and precautions

Who is more likely to use the effect

People who understand market risk and can assess backtesting bias are more suitable. Teams with budget, compliance, brand consistency, or business risk requirements need to confirm permissions, templates, export methods, and manual review mechanisms.

What to pay attention to when using it

It does not guarantee profitability and should not be a subs服装re for licensed investment advisors or trading risk management. When it comes to medical, recruitment, financial, legal, portrait, personal data, investment judgments, or third-party materials, it is recommended to use only the content that you have the right to process, and to manually confirm it before making a formal decision or publishing it.

FAQs

Can Horizon's backtesting prove that the strategy is making money? **

No, I can't. Backtesting can only tell the historical performance, and the market may be completely different in the future.

Can I trade automatically? **

It involves automated trading capabilities, but it is essential to understand the risks, money management, and platform rules before enabling it.

Is it suitable for beginners? **

It is suitable for learning strategy logic, but newbies should not invest a lot of money directly.

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