★ DeadCatFound · Bot Lethality Toolkit ★

MAKE YOUR BOT
MORE LETHAL

A signal is only one of four parts of a profitable bot. The other three — risk, regime, and discipline — are where most bots quietly die. The Bot Lab is four tools that fix them.

Works on any bot — yours, ours, or one you build here. Independent of the signal desks.

1

Regime & Risk Engine

What it's for
Stopping the two mistakes that blow up accounts: betting too big, and trading when the market won't cooperate. Most traders die from sizing, not from bad signals.
How it works
Enter your win rate and average win/loss. It computes a safe position size — quarter-Kelly, never full — then scales it down for the current market regime. If your edge is negative or the regime is hostile, it tells you plainly to stand down.
2

Trade Journal AI

What it's for
Finding where your bot is quietly losing money — the leaks you can't see by staring at a column of numbers.
How it works
Paste your trade log (CSV or a plain list). An AI reads every trade and reports the patterns — the losing day of the week, exits that fire too early, oversized losers — blunt and specific, citing your own numbers.
3

AI Strategy Builder

What it's for
Turning a strategy idea in your head into real, runnable code — so you can actually test it instead of just thinking about it.
How it works
Describe the strategy in plain English. An AI returns a complete Python script with entry/exit logic, a trailing stop, an end-of-day close, position sizing and a backtest loop already wired in. Backtest it before you trust it.
4

Bot Validation Lab

What it's for
Telling you whether a bot's track record is a real edge or just luck — before you risk real money on it.
How it works
Feed it your trade returns. It runs three brutal tests — significance (is it luck?), in/out-of-sample (does the edge survive unseen data?), and a 10,000-run Monte Carlo (the realistic range of return and drawdown) — then gives a verdict.
1
Significance test
2
In / Out-of-sample
10k
Monte Carlo runs

Download the validator, then run: python validator.py your_trades.csv — it needs one column of per-trade returns. Requires pandas + numpy.

↓ Download validator.py

The Bot Lab is educational tooling — not financial advice, and not a promise of profit. Every bot must be backtested and paper-traded before real capital is risked.
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