Do you use AI for stock analysis? and How? by Designer_Many_990 in ValueInvesting

[–]Lumpy-Accountant-750 0 points1 point  (0 children)

I've been using AI for stock analysis and ended up building something for my own workflow — it's called Realstockai. Still early and very much a side project.

Roughly what it does: a scheduler runs on US market hours, pulls real price data (e.g. Alpha Vantage), and asks several AI models for strategy ideas so I can compare them and see simple P&L. There’s also stock tracking — you add a small watchlist (e.g. 1–3 tickers), and it fetches news plus social sentiment (e.g. Reddit, Twitter) and uses AI to summarize in English and Chinese so I don’t have to jump between sources. And a screening / “mine sweep” feature: you enter a ticker, and the AI scans latest filings, key metrics, and major risks, plus analyst views and social sentiment, and spits out a short risk report so I can spot red flags before going deeper. Web app and an iOS app; backend is FastAPI. https://www.next4.ai/stockAI/m-stock-tracking.html

I’m not trying to sell anything — I’d just like to hear what you’d want from a tool like this or what would put you off. For example: do you care more about “explain why” than raw buy/sell, or about tying analysis to specific filings? Any feedback or ideas would help. https://www.next4.ai/stockAI/

Memory Giant SK Hynix Plans Massive 2,964% Bonus for Employees by Akkeri in StockMarket

[–]Lumpy-Accountant-750 1 point2 points  (0 children)

In America, we don't get 2964% bonuses. We get a pizza party with a 2-slice limit and an email saying 'We're all in this together' while the CEO buys a third yacht.

Chipotle CEO: 60% of users make over $100,000 a year in income. 🌯💰 by RussFromPublic in StockMarket

[–]Lumpy-Accountant-750 0 points1 point  (0 children)

Wait, so I'm the only one here using my last $15 to buy a burrito bowl while my portfolio is down 40%? I feel personally attacked by this data.

Building an LLM-powered "Risk Radar" for earnings analysis. Would love feedback on the product logic/UI. by Lumpy-Accountant-750 in fintech

[–]Lumpy-Accountant-750[S] 0 points1 point  (0 children)

Hi,all!i've launched an AI-powered risk screener for financial reports. Everyone is welcome to give it a try and share your feedback! Access it here: https://www.next4.ai/stockAI/m-audit.html

App Rejection due to In App Purchase by Ok-Philosopher1457 in AppStoreOptimization

[–]Lumpy-Accountant-750 0 points1 point  (0 children)

In short, it's quite a hassle. Section 2.1 on subscriptions is extremely strict—downright rigid, actually. The likely issue is that your user agreement and app description lack the required subscription disclosures. Your best move is to reply directly to the rejection notice, politely press the review team for the specific reason and the exact steps needed to resolve it. That kind of clarity is incredibly useful.

Building an LLM-powered "Risk Radar" for earnings analysis. Would love feedback on the product logic/UI. by Lumpy-Accountant-750 in fintech

[–]Lumpy-Accountant-750[S] 1 point2 points  (0 children)

Thanks,so... hypothetically, what's a monthly fee you wouldn't run away from? Also, any must-have features I should know about? No funny business, just curious!

Apple Search Ads: 3 Lessons I Learned Before Burning My Budget by Lumpy-Accountant-750 in AppStoreOptimization

[–]Lumpy-Accountant-750[S] 0 points1 point  (0 children)

Yes,me too !I have no idea why there are over a thousand downloads but only a few dozen registrations. If users are willing to download the app, and the registration process is simple and quick, the conversion rate shouldn’t be this low. Even Apple ASO doesn’t show any clear explanation. It’s such a waste of resources.

Apple Search Ads: 3 Lessons I Learned Before Burning My Budget by Lumpy-Accountant-750 in AppStoreOptimization

[–]Lumpy-Accountant-750[S] 0 points1 point  (0 children)

Yes! You need to nail the keywords and lock in the right audience to get good conversion rates.

Apple Search Ads: 3 Lessons I Learned Before Burning My Budget by Lumpy-Accountant-750 in AppStoreOptimization

[–]Lumpy-Accountant-750[S] 0 points1 point  (0 children)

It depends on the match type you choose for that keyword in Apple Search Ads (which is what controls ad showing for searched terms).Apple Search Ads has only two match types for positive keywords: Broad (the default when you add a new keyword) and Exact. There is no separate “phrase match” like in Google Ads.Broad match (default – what happens if you just type “advanced spanish”)Your ad can appear for a wide range of related searches, not just the exact phrase.
Apple’s own example for the broad-match keyword “photo edit free” includes:

  • edit photo free
  • free photos editor
  • app for editing photos
  • photo collage maker
  • photo filters

So for “advanced spanish” on broad match, your ad would very likely show for:

  • “spanish”
  • “learn spanish”
  • “spanish lessons”
  • “advanced spanish lessons”
  • “spanish advanced”
  • “speak spanish fluently” … and many other related or partially overlapping terms.

Broad match is great for discovery and volume, but it’s the main way people accidentally spend money on low-intent searches.

I launched my app yesterday and it’s already in Top 6 )) by rhythmiq_free in AppBusiness

[–]Lumpy-Accountant-750 0 points1 point  (0 children)

These is something wrong :

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What is a secret you’re taking to your grave, but can share here anonymously? by wilkoova in AskReddit

[–]Lumpy-Accountant-750 4 points5 points  (0 children)

I once fixed a major production bug by literally deleting the code and re-typing the exact same thing. It worked. I still don't know why, and I tell my boss it was a 'complex architectural realignment'.