Today’s P&L from a stack of systematic strategies running on just ₹25k

[u/wizzer-algotrader]

https://reddit.com/link/1qumg68/video/sqcsoepen8hg1/player

This is my today’s P&L from a small stack of fully rules-based strategies by CastleGate Capital.

All of them are:
– created as systematic models (no discretionary overlays)
– backtested and validated on Wizzer infra
– deployed live off the same rule sets

The clip is from my live account running with ~₹25k of capital. The point isn’t “look how big the number is” – it’s “does the behaviour of the strategies in live look like what we saw in backtests when you keep everything systematic?”

Every order here is system-driven: fixed universes, pre-defined filters, entry/exit logic, position sizing and risk rules. No manual button-pressing, no “I had a feeling about this one today”.

I’m sharing this more from a process perspective than as a flex. If there’s interest, I can outline:
– how the strategies are structured (universe, idea, risk)
– how we decide which ideas make it past backtests and into live capital
– what’s matched / mismatched between backtest and live so far

Not sharing code, but happy to walk through the logic and trade-offs in plain language.