Most of us can now build a working trading bot in an afternoon. What almost none of the tutorials give you is a way to answer the only question that matters: **does this strategy make money, or does it just run without crashing?** Those are different questions. Joseph made this split really clearly in his posts here — strategy evidence and operational readiness are independent, and a bot that never errors while trading a worthless strategy is a very efficient way to lose money. I want to show the missing half: how to get strategy evidence cheaply, in minutes, before anything touches an exchange. I'll use a real worked example, including the part where I found a bug in my own test. ### The trap that started this I deployed a bot on a 4-hour schedule and planned to paper trade for 72 hours to "see how it does." Then I did the arithmetic: - 72 hours ÷ 4-hour cron = **18 evaluations** - Historically, only **0.9%** of evaluations on that timeframe produced a trade - Expected trades in 72 hours: **0.16** I was going to wait three days to collect approximately zero trades, and then probably deploy anyway. Forward testing at low frequency is almost useless for judging a strategy. A backtest produced **2,581 trades in three minutes**. ### The one rule that makes a backtest mean anything **The backtest must run the exact same code the bot runs.** If you reimplement the strategy in your backtest, you are validating code that never trades, and trading code that was never validated. They drift, silently. The fix is simple: extract the decision logic into a shared module both import. ``` strategy.js <- indicators + entry/exit decisions, pure functions | +-- bot.js (live/paper: prints, places orders) +-- backtest.js (replays history) My backtest asserts indicator parity on every run and **refuses to print results** if the numbers diverge from what the live bot computes. That assertion is worth more than any statistic in the output. ## Bias controls you need or the numbers lie

I've got an insane AI Trading Prompt specifically designed for Opus 5.5 that will probably make you a lot of money. Should I post it here for free? OR In https://www.skool.com/part-time-quant-academy ? ($29 per month) If you're in PTQA Community, I want to hear from you too.

, Lewis, from a while back I was fascinated by this concept in one of your posts. Since then I have built a system. It has taken a long time to iron out all the bugs and failures, but now it's working well. I introduced a strategy evaluation cycle, backtesting any new strategy that surfaced. My only problem is that now, I cannot find a strategy that will pass the test! It's not a high bar). I've coded, a trend _following, a momentum reversal, a bollinger squeeze etc etc, all dead in the water when you take into account trading costs (bid/offer spread) Any advice very welcome

Unfortunately there is no Claude app available for Linux. I found an unofficial app but it doesn't work with Claude Code as it's a repackaging of the Windows version. I've wasted hours of my life trying to get a working setup. So how can I continue without a Mac or Windows?

CEOs are legally required to disclose every stock trade they make — within two business days. That's not a loophole. That's federal law. And it means the signal is sitting there, on the SEC database, in public, waiting for someone to read it before the market does. I built seven AI agents that read it for you. Eddie monitors SEC Form 4 filings every morning. Maggie scans 13F institutional filings from Berkshire, Bridgewater, and Renaissance every Sunday. Frank listens to Fed speeches for hawkish and dovish shifts. Maya tracks whale wallet movements on-chain every six hours. Janet monitors portfolio drift. All five feed their signals to Sophie — the consensus layer — who only escalates when at least three of the five scouts agree. When Sophie fires, Ross emails you. No dashboard to babysit. One alert, when the data converges on something real. The entire system installs in under 15 minutes using a single one-shot Claude Code prompt. Paste it in, complete three credential steps, and your agents are running 24/7 — free, beyond the cost of an API key. I walk through every click in the video, including setting up the .env environment file that keeps your API keys private and off any shared code. This isn't insider trading. It's reading the receipts they're legally required to leave behind. ⚠️ DISCLAIMER: Nothing in this video constitutes financial, investment, or tax advice. I am not a financial adviser. Past performance is not indicative of future results. Cryptocurrency and digital assets are highly speculative and volatile — you could lose your entire investment. All content is for educational and entertainment purposes only. Always do your own research and consult a qualified professional before making any financial decisions.