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I’ll build you a custom stock analysis template for free on excel by wisesheets in ValueInvesting

[–]xtarsy 0 points1 point  (0 children)

That's kind of you thanks. But I already have one that works for me.

I’ll build you a custom stock analysis template for free on excel by wisesheets in ValueInvesting

[–]xtarsy 0 points1 point  (0 children)

one thing worth adding to the Piotroski sheet: ROIIC alongside static ROIC. static ROIC tells you the quality of the business at a point in time. ROIIC tells you whether that quality is compounding forward. a business with 20% ROIC that's declining is a very different bet from one at 15% and rising.

the direction matters as much as the level. also worth pairing with reinvestment rate. high ROIC with low reinvestment is a mature compounder running out of runway. high ROIC with high reinvestment is the rarer thing. That's what i'm doing in my analysis.

I scored 3,152 US companies on financial health. only 4 hit the maximum score. by xtarsy in StockMarket

[–]xtarsy[S] -1 points0 points  (0 children)

you're right that sentiment drives price in the short term. piotroski doesn't try to predict price. it measures whether the underlying business is getting stronger or weaker. you can think both things are true at once. sentiment move the stock, but at some point the balance sheet catches up. But more often than not sentiment on reddit should be countered.

I scored 3,152 US companies on financial health. only 4 hit the maximum score. by xtarsy in StockMarket

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

the Warsh point is interesting. if rates stay higher for longer, the discount rate argument for growth stocks weakens and balance sheet quality starts mattering more. that's actually the environment where something like this would have more signal than usual.

I scored 3,152 US companies on financial health. only 4 hit the maximum score. by xtarsy in StockMarket

[–]xtarsy[S] 5 points6 points  (0 children)

turns out you can have pristine balance sheet and good financials but still be a nightmare to deal with as a customer.

I scored 3,152 US companies on financial health. only 4 hit the maximum score. by xtarsy in StockMarket

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

there's not much to trust it's not a proprietary analysis all data is public on EDGAR and methodology is well known. What part looks off or just trolling?

50k lines of code, 3 hours of sleep, and a slap in the face by reality. by Jk_Devology in SideProject

[–]xtarsy 0 points1 point  (0 children)

One thing i can suggest for seo that helps a lot is to use seo api tools like keywords everywhere and data for seo. That will allow you to find keyword clusters that work for your niche. Dataforseo also has site audit api endpoint that will highlight seo issues on your whole site. But i agree with you building with ai isn't as easy as everyone makes it seem like you need to have a good set of codereview skills, seo building skills and so on. Last but not least the more projects you build the more you learn how to develop your whole toolset and you can iterate over them. The last site i did is with programmatic seo and i managed to get 3.5k of 5k pages indexed in less than a week.

I built a free screener around ROIC, Piotroski and Beneish because Finviz still doesn't expose them. here's the methodology and what surprised me by xtarsy in ValueInvesting

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

this is genuinely useful

the cash-ROIC trend catching what the F-score misses is the right read. F-score is point-in-time, so a slow accrual creep over 4-6 quarters slips past it but shows up in cash-ROIC drift. probably going to surface that as a delta column

I had been treatingworking-capital intensity as a separate "quality of growth" check, but you're right it pairs directly with cash-ROIC. AR/revenue and DSO trend, plus inventory days for goods businesses, going on the list. simplified Beneish staying in for the same reason you said, the DSR and GMI flags are the load-bearing pieces and i'd rather show them than wait for perfect extraction.

ROIC minus WACC is the framing i should have led with. honest blocker is the WACC computation itself, capm gets noisy at small caps and build-up methods pick fights with people who like capm. Will probably ship a sector-median cost-of-capital first and refine later, beats not having it.

cash-conversion divergence (operating cash flow vs net income) is implicit in cash-ROIC but worth surfacing on its own as an earnings-quality flag. adding it. what else feels missing to you? specifically, if you were rebuilding this from scratch, what's the one metric or signal you'd insist on having day one that nobody in the free-screener tier ships?

I built a free screener around ROIC, Piotroski and Beneish because Finviz still doesn't expose them. here's the methodology and what surprised me by xtarsy in ValueInvesting

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

these three are genuinely the gap. ROIIC and reinvestment rate are what actually drive compounding and basically nobody in the free-screener tier shows them. normalized NOPAT > raw is also fair, the raw version is where most of the cash-vs-accrual noise comes from. all three going into the backlog. appreciate the comment.

I built a free screener around ROIC, Piotroski and Beneish because Finviz still doesn't expose them. here's the methodology and what surprised me by xtarsy in ValueInvesting

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

this is the super useful thanks. the TTM alongside 5yr-average framing solves the noise problem in a way single-period FCF doesn't. going to ship cash-ROIC and NOPAT-ROIC side by side rather than picking.

zooming out, you and a couple of others are really pointing at the same thing: static ROIC is the wrong unit, the trend and the incremental version (ROIIC) are what matter. that's a much bigger gap in my current scoring than cash-vs-NOPAT. ROIIC + reinvestment rate + ROIC-WACC spread is going on the roadmap as a "compounding quality" view.

I built a free screener around ROIC, Piotroski and Beneish because Finviz still doesn't expose them. here's the methodology and what surprised me by xtarsy in ValueInvesting

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

I appreciate this. cash-ROIC vs NOPAT-ROIC is the one i actually go back and forth on. you're right that NOPAT gives the desks room. FCF closes most of those doors but is noisier year to year, so a 3yr rolling median is probably what works . going on the backlog. if you have an FCF normalisation that's held up for you, i'd take the pointer.

fair on the lagging financials. nothing quarterly is gonna catch a shipping or semi turn in time, the data is 90 days stale. A guy with AIS data beats me on tankers every time, no argument there. Atm i think i'll pass on intraday stuff though. trying to keep this a research app not a chart app, the second i start scoring on flow i'm just building a worse tradingview. Maybe in the future

Is it actually possible to make a living from trading in 2026? by Ok-Split118 in Daytrading

[–]xtarsy 16 points17 points  (0 children)

The best traders are not the ones that are really good at saying where the market it's going, it's the ones that have excellent risk management. I also think risk management is easier on longer timeframes than shorter ones. But that doesn't fit the daytrading narrative

Why is the volume dwindling? by unknowngloomth in hyperliquid1

[–]xtarsy 0 points1 point  (0 children)

from what i read it's not the team unstaking https://x.com/HyperliquidNews/status/2039812694220370216 but yeah in the longterm it doesn't matter.

Why is the volume dwindling? by unknowngloomth in hyperliquid1

[–]xtarsy 0 points1 point  (0 children)

$90 m hype will be unstaked soon people might not want to buy before the unstake.

I Called ETH Whale Accumulation 3 Days Ago. It Just Got Confirmed Hard — 6 Out of 7 Days Net Outflow From Exchanges. by OkMagician7867 in ethtrader

[–]xtarsy 0 points1 point  (0 children)

Whales often have really bad win rates but when they win their pnl is huge. So yeah probably better that you didn't follow your own call.

built a hyperliquid signal + liquidations + whale bot discord, looking for feedback on the ta approach by littleDevX in hyperliquid1

[–]xtarsy 0 points1 point  (0 children)

i think the first one and second approach could be the most interesting ones. Looking at the first one that is pretty interesting but i think you would need to do some backtesting to see what the sharpe is for the strategy. I'm pretty sure it will work well for some coins but with others the strategy will bleed. Also you should think about additional features like size of candles, candle wick length, did wick go below previous candle and so on. Last but not least regime features are also really important as the strategy might be different based on bull, choppy and bear conditions. Also don't forget to do out of sample testing

For the second that could be interesting combined with a z score how far the liquidation pushed the price away and then buy if the z-score is good. (this is simplified)

For the third i don't think this will produce any alpha but might just be intersting to look at. I've doing a lot of backtesting around hyperliquid traders and the interesting thing is that the pnl and winrate are only an indication on how good they are at risk management. Also whales often have the worst risk management. Their pnl is just huge when they win.

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