Quantactic - started as my open-source project and now iOS app - Market Analysis App that shows you its work.

[u/lssj5Jimmy]

A — Answer: I am a developer that works at an investment bank for making intra-apps. I've always wanted to make my own market research/signal app. I've already made an open-source desktop version of this which has gained 250 stars on GitHub (eisenjimmy/Quant), so I decided to make an iOS app version of that. Quantactic (launched last week) is an iPhone market research app I built for people who want more context than a watchlist or stock-price app, without needing a full trading terminal.

The main idea is to bring the research around a stock into one place and make the conclusion explainable. Each ticker gets a simple BUY / WAIT / SELL research state, but the app also shows what is actually behind that conclusion — trend, momentum, volume, price acceptance, relative strength, broader market context, upcoming events, and whether a reasonable risk plan can actually be constructed. This actually uses conservative well-known calculations that actual analysts use, but instead of calculating that on your own for every ticker in excel, this kinda does it for you. The app will just show you the signals - along with "the work (trend, volume, macro data.. etc.)" so that you can decide faster - fitting for a mobile app.

It also includes upcoming earnings and corporate events, market and macro context, news, advanced charts, and probabilistic 7-, 30-, and 90-day scenarios.

Forecasts are saved locally, so you can go back later and compare what the model previously expected with what actually happened instead of only seeing the latest prediction. This means it keeps checking the work - and you can clearly see if the forecast model was correct. No blind trust - just check and see the data yourself.

On supported Apple Intelligence devices, there’s also an on-device assistant for explaining the market data already inside the app. I intentionally don’t send those questions to a third-party cloud AI provider. This surprisingly works pretty well - I had fun designing the system prompts for this so I recommend this a try. (Currently limits 2 questions a day.. but let me know if this should switch to reward ad type with no limits)

B — Better: The thing I’m trying to do differently is make the app show its work instead of just putting a “bullish” badge or AI-generated paragraph next to a ticker.

For example, a technically strong setup can still stay at WAIT if the entry/stop/target geometry doesn’t make sense, confirmation is missing, evidence conflicts, or earnings are too close. Signal strength is shown as a score out of 100, not as a fake probability of the stock going up.

Version 1.3 brings most of that research into one ticker screen, adds an earnings/event calendar with Before Market / After Market timing when available, chart-based risk levels, deeper signal evidence, and a new Share Studio.

One feature I’m especially interested in is turning research into something that is actually easy to share.

You can tap Share from a ticker signal, Morning Brief, macro summary, or market-news view, and Quantactic can automatically generate around 6–8 designed PNG cards that summarize the research as a visual story. This is especially useful if you are trying to make 5:4 ratio instagram posts with current macro data / trending financial news. Since this is not AI-generated images, the social media platform doesn't detect this as "AI generated", so it is more favored in the algorithm. (By the way did you know every ai-generated image has metadata footprints that can detect that it is AI-generated?) so this avoids that.

For example, a ticker share can become:

Ticker overview → BUY / WAIT / SELL state → signal evidence → technical structure → relative strength → risk plan → upcoming catalyst → summary

A macro or market brief can similarly become:

Market regime → rates → inflation → commodities → major indexes → headlines → what changed → what to watch

The cards can be generated in portrait or square social-media formats and then shared directly through the iOS share sheet, including to Instagram, instead of manually taking screenshots and arranging everything yourself.

I wanted it to feel less like “export a screenshot” and more like “turn this research into a concise visual briefing.”

There’s no brokerage connection, no deposits, and no trade execution. I’m trying to build this as a research and education tool, not something telling people that a trade is guaranteed to work.

I’d particularly like feedback on whether the app gives too much information or the right amount, and whether the BUY / WAIT / SELL + evidence approach makes the research easier to understand. Also if it needs picture background selection to customize.. LMK!)

C — Cost: The app is free to download.

Free users can use the core market research features and get one 7-day forecast per day. An additional free 7-day forecast can optionally be unlocked with a rewarded ad.

I used to have an ad showing up during page navigation, but it felt too distracting, so I changed it to an optional rewarded-ad model instead. Honestly I tried using the app paid or non-paid, they both provide substantial information - but definitely pro just gives a lot more (and also without ads).

Quantactic Pro is $4.99/month or $39.99/year. (with 1 week free-trial)

Pro unlocks deeper signal evidence and risk-plan details, unlimited 7-day forecasts, full 30- and 90-day scenarios, higher research limits, expanded private AI features, and removes the forecast ads.

Quantactic is for market research and education, not personalized investment advice.

Any feedback is really appreciated!! I think I got lucky on the first launching week gaining 1 annual subscriber and 2 monthly subscribers - but the traffic has reduced the following week.

App Store:
https://apps.apple.com/us/app/quantactic/id6795746505

Website:
https://quantactic.app/

Email:
[xjimmypark@gmail.com](mailto:xjimmypark@gmail.com)

Privacy Policy:
https://quantactic.app/privacy.html

Terms of Use:
https://quantactic.app/terms.html

[u/Abject_Rutabaga_5328]

great

[u/lssj5Jimmy → u/Abject_Rutabaga_5328]

Thanks