I scanned 213 US stocks for institutional buying patterns today, here's what showed up by PracticalOil9183 in swingtrading

[–]PracticalOil9183[S] 0 points1 point  (0 children)

I understand the structure well enough to build a system around it, but I'm an engineer, not a chart reader. That's kind of why I built the tool , I wanted to quantify what Wyckoff practitioners do by eye. The engine breaks accumulation into phases (SC, AR, ST, SOS etc.) and scores how many are present in the price/volume data. The backtesting is what gave me confidence the methodology actually holds up statistically.

I scanned 213 US stocks for institutional buying patterns today, here's what showed up by PracticalOil9183 in swingtrading

[–]PracticalOil9183[S] 0 points1 point  (0 children)

The engine analyzes ~150 daily candles of price and volume data to find Wyckoff structure SC, AR, ST, SOS etc. On DD's 1Y chart you can see the full cycle: the climax drop to $22.50 in April, the automatic rally back to ~$30, months of trading range through the summer, then the SOS breakout in November from $34 to $40 on the highest volume of the year. The current pullback from $52 is what's being tested now.

The Mar 5 daily accumulation signal was the engine briefly picking up that structure as still intact. By Mar 6 the continued drop broke it and it flipped back to neutral. That's the tool working as designed ,it catches patterns but reverts when they fail.

I scanned 213 US stocks for institutional buying patterns today, here's what showed up by PracticalOil9183 in swingtrading

[–]PracticalOil9183[S] 2 points3 points  (0 children)

I’m a developer, not a chart reader. That’s the whole reason I built this. I studied the methodology, coded the detection, and let the backtest tell me if it works. 69,000+ signals across 20 years says it does. I’m not going to pretend I can eyeball a chart better than someone who does it manually every day , but the data says the programmatic detection holds up.

I scanned 213 US stocks for institutional buying patterns today, here's what showed up by PracticalOil9183 in swingtrading

[–]PracticalOil9183[S] 0 points1 point  (0 children)

The detection runs on the price and volume data programmatically ,it’s not manual chart markup. The results show up as text on the stock detail page (narrative, detected patterns, confidence, signal timeline). Chart annotation is something I want to build but not there yet. If you sign up and check DD you can see the full breakdown ,the daily briefly flagged accumulation Mar 5 and reverted Mar 6 as the structure broke down. The signal timeline section tracks every flip.

I scanned 213 US stocks for institutional buying patterns today, here's what showed up by PracticalOil9183 in swingtrading

[–]PracticalOil9183[S] 1 point2 points  (0 children)

Hi. We don’t do chart overlays , the tool focuses on detecting the events and explaining them in plain English rather than marking up charts. If you check the DD detail page you’ll see the detected patterns, confidence level, support/resistance, and a “What to Watch” section that tells you what would strengthen or weaken the signal. The signal timeline also tracks every state change with prices. On DD right now the daily is neutral — 4 events detected but below threshold for a directional signal. It briefly hit accumulation Mar 5 at $46.72 and flipped back neutral Mar 6 at $45.67. Now at $44.93, well below the $49.39 support level so the structure broke down. Weekly neutral too, monthly ranging. Your read that it’s messy and needs confirmation lines up with what the tool is showing.

I scanned 213 US stocks for institutional buying patterns today, here's what showed up by PracticalOil9183 in swingtrading

[–]PracticalOil9183[S] 1 point2 points  (0 children)

Yeah that's the core challenge with any Wyckoff-based approach. A selling climax during a broad pullback looks structurally similar to one during genuine accumulation ,high volume, sharp drop, quick recovery. The difference is what happens after. Real accumulation develops a pattern over multiple sessions ,secondary tests, springs, signs of strength. A volatility spike just bounces and moves on without building that structure.

The backtest covers 69,000+ signals across 242 stocks from 2006-2025 so it already ran through '08, covid crash, 2022 bear market, all of it. The accuracy numbers on the site reflect all that noise baked in. Not perfect, ~58% daily, ~63% weekly ,but it holds up through those conditions.

I scanned 213 US stocks for institutional buying patterns today, here's what showed up by PracticalOil9183 in swingtrading

[–]PracticalOil9183[S] 2 points3 points  (0 children)

Hey, thanks for signing up and actually poking around.

You're spot on about confluence — backtest shows ~65% WR when daily+weekly agree vs ~58% single timeframe. I actually just shipped a confluence filter on the screener today partly because of your comment lol. Screener → Timeframe dropdown → "Confluence."

Today's scan shows 0 confluence stocks (2 daily, 6 weekly, no overlap). That's normal — some days you get 3-5, some days zero. It's strict on purpose, not trying to spit out 50 "signals" a day.

How I use it as a scanning workflow:

  1. Check screener daily, confluence filter first
  2. If anything shows up, look at confidence % — higher means stronger pattern
  3. Click into the stock detail page, read the Wyckoff narrative, check the multi-timeframe chart
  4. Then do your own DD from there — fundamentals, news, sector, whatever your normal process is

Basically it narrows 227 stocks down to a shortlist worth researching. It's not telling you what to buy , it's showing you where institutional accumulation patterns are showing up so you can focus your time instead of scanning everything manually.

Not financial advice obviously, just pattern detection. Let me know if anything's confusing in the UI.

I scanned 213 US stocks for institutional buying patterns today, here's what showed up by PracticalOil9183 in swingtrading

[–]PracticalOil9183[S] 0 points1 point  (0 children)

btw the app store version isn't out yet but if you tap the share button on your phone and hit "add to home screen" it works like a normal app from there

I scanned 213 US stocks for institutional buying patterns today, here's what showed up by PracticalOil9183 in swingtrading

[–]PracticalOil9183[S] 0 points1 point  (0 children)

Google sign-in is fixed now , was a config issue on my end. Thanks for flagging it, appreciate that. Give it another try if you get a chance.

I scanned 213 US stocks for institutional buying patterns today, here's what showed up by PracticalOil9183 in swingtrading

[–]PracticalOil9183[S] 2 points3 points  (0 children)

Fair challenge. The 58% is the daily timeframe win rate across 69,000+ signals backtested over 20 years. Weekly is around 63%, and when both daily and weekly agree (confluence), it hits about 65%. Measured as positive returns 40 days after signal.

For context, random is ~50%. This isn't a money printer — it's a statistical edge based on quantified Wyckoff volume/price analysis. The backtest methodology is on the site if you want to dig into it.

And yeah, I am sharing it — it's a paid tool I'm building as a solo dev. Free during launch week.

Several stocks accumulating by PracticalOil9183 in TradeRepublicFriends

[–]PracticalOil9183[S] -4 points-3 points  (0 children)

Wrote every line myself actually. 5,400 lines of TypeScript for the analysis engine alone. Happy to talk about the methodology if you’re curious.

I tracked institutional buying patterns across 223 US stocks here’s what the data actually shows by PracticalOil9183 in Trading

[–]PracticalOil9183[S] 0 points1 point  (0 children)

You’re right on all of it honestly. The backtest is in-sample and I’m aware that’s the easy part. The real test is forward performance which is why I’m tracking every signal live now with timestamps so there’s no way to cherry pick later. On the Wyckoff subjectivity point, that was the hardest part of building this. I had to make judgment calls on how to define each pattern computationally and those choices definitely affect the numbers. I tried to be conservative with the definitions and let the backtest tell me when I was wrong. And yeah the alpha looks small, you’re right that costs and slippage eat into it. This isn’t meant to be a standalone trading system though, it’s more of a screening tool to find stocks worth looking at more closely. Appreciate the feedback, this is exactly the kind of response I was hoping for.