The real edge is pure and perfect data..

The real edge, in my opinion, is combining structure + momentum + order flow confirmation instead of relying on any one piece by itself. On the order flow side, the idea is to watch live tape behavior: buy/sell pressure, volume aggression, whether buyers are actually supporting the move, and whether price is accepting above key levels or just wicking/rejecting. I’ve experimented with Lee-Ready style trade classification and quote/tape aggregation, but I don’t treat it like magic. It’s more like, “Does the tape confirm what the indicators are already suggesting?” I’ve been working on this system for a while now. The hardest part isn’t calculating indicators. The hard part is making the system understands context. A stock can have bullish order flow and still be a bad trade if it’s slamming into VWAP rejection, VAH, pivot resistance, or a failed breakout zone. That’s where I think a lot of retail algo work gets tricky. It’s not just “buyers are hitting” or “MACD flipped green.” The question is whether all the pieces are lining up in the same direction, at the right location, with enough confirmation to justify the risk. I’m still refining it, but that’s the goal. Build something that doesn’t just react to signals, but understands the battlefield around the signal.. BBS.. ;)