Reactor for people who are just getting started

You don't need to build everything from scratch. You can start from ready-made examples and adapt them to your needs. The instructions you give decide what the Agent checks, how much judgment it uses, and which actions it's allowed to take.

Say there's an asset you're interested in. Instead of going through charts and data yourself, you can give an Agent a task: check the market, assess the opportunity and explain its decision.

The Agent can gather information, weigh several factors and decide whether the opportunity fits, or whether it's better to wait. The instructions define its process and how much judgment it uses.

You can run an Agent at set times. On every run it gathers the relevant information and carries out the task it was given.

You can also split the work between several Agents: one finds opportunities, another analyzes and decides, and a third manages open trades. The output of one step can move on to the next.

A strategy is a way of working that defines which opportunities to look for and how to handle them. Reactor lets you explore that path with data and test each part of it separately.

In a real example, we ran an Agent that scans the market every four hours and spots a specific price pattern. Then we used our research tools to check how price behaved after those signals.

The findings helped us choose a 3% stop-loss and a 4.5% profit target. We connected a buying Agent that buys the signals and collected results. As of preparing this example, by the measurement taken, 800 trades closed with a 65% win rate.

In this case the buying Agent buys every signal. That's a way to test the detection and the trade management before adding judgment to filter opportunities.

To connect the results to your money, you need to understand how they were produced too.

A results report shows how many trades closed, how many were profitable, the size of wins versus losses, and what was left after costs. Then you look at how much money was allocated per trade, whether leverage was used, and how many trades were open at once.

The same price movement can produce a different money result when the trade size changes. Increasing the amount or the leverage also affects the possible loss.

Managing a trade can be a task of its own. An Agent can check an existing position, follow market conditions and decide on an action according to its instructions and authority.

For example, you can give an Agent the role of risk management, protecting profit or partial take-profit. You can define precise rules, and also allow judgment in situations defined for it.

Reactor lets you look through Agent runs and see the information they used, tool results, decisions and actions. You can also review failures and usage costs.

That way you can go back to a specific case and understand the path to the outcome: what was found, what information was available, what the Agent decided and what was executed.