Everyone's racing to build trading systems with AI right now. point claude at a chart, get a strategy in one prompt, watch the curve go up. great screenshot. but almost nobody asks the only question that matters: can you trust what you built?

the answer isn't in the model. it's in the data underneath — and one platform can tell an honest backtest from a fictional one. the other can't.

every candle on TradingView is a summary: open, high, low, close. four numbers, and that's the ground your whole backtest is standing on. inside that same bar, Sierra Chart keeps every single tick — every trade, in order, with volume, at each price. that's the difference between a photo of the market and the market itself.

and the biggest thing a summary hides is fills. when your stop and your target land in the same bar, TradingView just guesses which one hit first — and it tends to guess in your favor. real ticks know the order. that one question decides whether a “winning” trade ever actually happened.

you're not missing a smarter model. you're missing a dataset you can trust — and the discipline to check whether the answer is real. that's the whole game.

the video is where you see it happen. i point Claude Code at SCID files — undocumented binary, no C++, no dev background — and have it write a reader in python, live. then i take last week's “winning” ORB trade, run it on real ticks, and you watch it flip to a loss. the fill that never filled.

→ Watch: Everyone Connects Claude to TradingView. I Connected It to Sierra Chart. (~8 min)

this is episode 1 of the full pipeline — data first. the honest backtest, signal generation, verification, and execution each get their own.

reply and tell me: what's the strategy you've been too afraid to backtest honestly? i read everything.

— Drew