Take the prompts and the code

Everything you need to start profitable AI trading today. Free.

What this package contains.

01

The prompts

Exact prompts that can be used with Claude Code or within the AI-Backbone builder. Including hot tips on how to make the AI building out your own ideas.

02

Source Code

The complete files with parameters left open for optimization. These are .mq5 files for MetaTrader5 and .py for Nautilus Trader.

Send it to me

Both prompts and the .mq5 file, in one email.

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01 — The prompts

What these prompts are capable of

They are four sentences long. That is the point: the work is not in the prompt wording, it is in what the environment does with it. Here is what came out the other end.

MetaTrader 5 equity curve rising from ten thousand dollars.

MT5 variant — $10,300 profit, 101 trades, 53% win rate

AI-Backbone equity curve rising in steps.

Harness variant — $13,048 profit, 45 trades, 112 day runners

AI-Backbone optimizer leaderboard sorted by risk-adjusted gain.

One prompt, then the optimizer: the leaderboard the harness produced, best recovery factor 19.4.


02 — The source code

What you can do with it

The .mq5 files and .py are not black box containers. They are readable, parameterised codes that you own the moment you download it.
You can edit them as you like and apply where ever you like.

  • Compile and run it today. Drop it into MetaEditor, hit compile, attach it to the Strategy Tester and reproduce the equity curve above on your own history.
  • Re-optimize it for your symbol. Every input is exposed. Point the optimizer at your instrument, your timeframe and your broker's spread instead of ours.
  • Swap the entry signal. The reversal logic sits in one place. Replace it with your own idea and keep the position management, the parameter set and the risk handling that already work.
  • Read how a model exposes parameters. The most useful part is often not the strategy — it is seeing which knobs the AI builder chose to leave open, and why that makes a strategy optimizable at all.
  • Use it as a starting template. Let your AI read it and prompt it for the next idea instead of asking a model to build the same scaffolding from scratch every time.

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