We study how algorithmic trading research is actually built — the programming, the historical data, the backtesting methodology, the statistics that separate a real result from a lucky one. No calls, no tips, no signals — ever.
Everything below already lives in the group — pinned, organised, and added to every week.
A walkthrough each week — methodology, code on screen, open Q&A after. Recordings go into the group for anyone who misses it.
From a blank environment to a fully evaluated strategy: handling data, coding rules, and the checks that separate a real result from a lucky one.
Run your own rules against historical data and read the standard evaluation stats — before you take any conclusion further.
Stuck on a bug, a data quirk, or a methodology question? Post it. This is peer and practitioner discussion, not a broadcast channel — and not licensed advisory.
A rule, written down, coded, and checked against real history, holds up better than a hunch on a Tuesday afternoon. That's the whole idea behind this community: understand the method before you trust the output.
A real sequence — each step depends on the one before it. Most members work through it over a few weeks, at their own pace.
Python, an editor, and a source of historical market data. We walk through it end to end on session one.
Cleaning, structuring, and the basic statistics you need before any rule is worth testing.
Take a plain-English hunch — "a fast average crossing a slow one" — and write it as logic a program can evaluate.
Use the free tool, then learn to spot lookahead bias, overfitting, and survivorship bias — the three ways a backtest lies to you.
Write down what the evidence actually showed, what didn't hold up, and why. The log — not the first good-looking result — is the point.
No. Nothing shared in this community — live sessions, the guide, the backtester, or discussion in the group — is a recommendation to buy, sell, or hold any security. It's a space to learn the programming and research methods behind algorithmic trading. We are not a SEBI-registered investment adviser, and nothing here should be treated as personalised advice.
No, and we won't post any — not in the group, not in a DM, not as a "bonus." If someone claims to represent this community while sending calls or signals, they don't.
No. The guide starts from a blank environment. Comfort with basic Python helps but isn't required going in — most members pick it up alongside the material.
Historical, publicly available market data used purely for study and backtesting exercises. Examples reference index or instrument data the way a textbook would — never as a recommendation to trade that instrument.
Practitioners and enthusiasts sharing what they've learned building and testing their own research. This is peer education, not a licensed advisory service.
The live session runs about an hour. Members who put in two or three focused hours a week tend to move through the guide comfortably.
Free education, a weekly live session, the full research guide, and the backtester — waiting in the group chat.
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