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Apple is the only Big Tech company whose capex declined last quarter

https://sherwood.news/tech/apple-is-the-only-big-tech-company-whose-capex-declined-last-quarter/
1•elsewhen•2m ago•0 comments

Reverse-Engineering Raiders of the Lost Ark for the Atari 2600

https://github.com/joshuanwalker/Raiders2600
2•todsacerdoti•4m ago•0 comments

Show HN: Deterministic NDJSON audit logs – v1.2 update (structural gaps)

https://github.com/yupme-bot/kernel-ndjson-proofs
1•Slaine•7m ago•0 comments

The Greater Copenhagen Region could be your friend's next career move

https://www.greatercphregion.com/friend-recruiter-program
1•mooreds•8m ago•0 comments

Do Not Confirm – Fiction by OpenClaw

https://thedailymolt.substack.com/p/do-not-confirm
1•jamesjyu•8m ago•0 comments

The Analytical Profile of Peas

https://www.fossanalytics.com/en/news-articles/more-industries/the-analytical-profile-of-peas
1•mooreds•8m ago•0 comments

Hallucinations in GPT5 – Can models say "I don't know" (June 2025)

https://jobswithgpt.com/blog/llm-eval-hallucinations-t20-cricket/
1•sp1982•8m ago•0 comments

What AI is good for, according to developers

https://github.blog/ai-and-ml/generative-ai/what-ai-is-actually-good-for-according-to-developers/
1•mooreds•8m ago•0 comments

OpenAI might pivot to the "most addictive digital friend" or face extinction

https://twitter.com/lebed2045/status/2020184853271167186
1•lebed2045•10m ago•2 comments

Show HN: Know how your SaaS is doing in 30 seconds

https://anypanel.io
1•dasfelix•10m ago•0 comments

ClawdBot Ordered Me Lunch

https://nickalexander.org/drafts/auto-sandwich.html
2•nick007•11m ago•0 comments

What the News media thinks about your Indian stock investments

https://stocktrends.numerical.works/
1•mindaslab•12m ago•0 comments

Running Lua on a tiny console from 2001

https://ivie.codes/page/pokemon-mini-lua
1•Charmunk•13m ago•0 comments

Google and Microsoft Paying Creators $500K+ to Promote AI Tools

https://www.cnbc.com/2026/02/06/google-microsoft-pay-creators-500000-and-more-to-promote-ai.html
2•belter•15m ago•0 comments

New filtration technology could be game-changer in removal of PFAS

https://www.theguardian.com/environment/2026/jan/23/pfas-forever-chemicals-filtration
1•PaulHoule•16m ago•0 comments

Show HN: I saw this cool navigation reveal, so I made a simple HTML+CSS version

https://github.com/Momciloo/fun-with-clip-path
2•momciloo•17m ago•0 comments

Kinda Surprised by Seadance2's Moderation

https://seedanceai.me/
1•ri-vai•17m ago•2 comments

I Write Games in C (yes, C)

https://jonathanwhiting.com/writing/blog/games_in_c/
2•valyala•17m ago•0 comments

Django scales. Stop blaming the framework (part 1 of 3)

https://medium.com/@tk512/django-scales-stop-blaming-the-framework-part-1-of-3-a2b5b0ff811f
1•sgt•17m ago•0 comments

Malwarebytes Is Now in ChatGPT

https://www.malwarebytes.com/blog/product/2026/02/scam-checking-just-got-easier-malwarebytes-is-n...
1•m-hodges•17m ago•0 comments

Thoughts on the job market in the age of LLMs

https://www.interconnects.ai/p/thoughts-on-the-hiring-market-in
1•gmays•17m ago•0 comments

Show HN: Stacky – certain block game clone

https://www.susmel.com/stacky/
2•Keyframe•21m ago•0 comments

AIII: A public benchmark for AI narrative and political independence

https://github.com/GRMPZQUIDOS/AIII
1•GRMPZ23•21m ago•0 comments

SectorC: A C Compiler in 512 bytes

https://xorvoid.com/sectorc.html
2•valyala•22m ago•0 comments

The API Is a Dead End; Machines Need a Labor Economy

1•bot_uid_life•23m ago•0 comments

Digital Iris [video]

https://www.youtube.com/watch?v=Kg_2MAgS_pE
1•Jyaif•24m ago•0 comments

New wave of GLP-1 drugs is coming–and they're stronger than Wegovy and Zepbound

https://www.scientificamerican.com/article/new-glp-1-weight-loss-drugs-are-coming-and-theyre-stro...
5•randycupertino•26m ago•0 comments

Convert tempo (BPM) to millisecond durations for musical note subdivisions

https://brylie.music/apps/bpm-calculator/
1•brylie•28m ago•0 comments

Show HN: Tasty A.F. - Use AI to Create Printable Recipe Cards

https://tastyaf.recipes/about
2•adammfrank•29m ago•0 comments

The Contagious Taste of Cancer

https://www.historytoday.com/archive/history-matters/contagious-taste-cancer
2•Thevet•30m ago•0 comments
Open in hackernews

The one-click stock analysis report website is finally ready

https://aistock.tools
2•rule2025•2mo ago

Comments

rule2025•2mo ago
A seasoned investor’s honest reflection: from losing tens of thousands to eventually making over 100,000 — and the one thing I finally did right.

A few years ago, I couldn’t imagine my brokerage account showing six-figure assets. This isn’t a story of sudden wealth. No insider tips or “limit-up secrets.” It’s a story of losses, confusion, learning, and slow redemption.

If you’ve ever doubted yourself after painful losses, maybe my experience will feel familiar.

1. Entering the “casino”

In 2016 I bought my first stock simply because it “had been rising.” A tiny gain quickly turned into losses. Panic → adding positions → cutting losses. I thought I just “lacked skills,” so I learned every indicator: MACD, RSI, candlesticks… The more I learned, the more confused I became. My trading still looked like gambling.

2. Discovering value investing

Right before quitting the market entirely, I stumbled upon “value investing.” That moment changed everything.

I read the classics:

The Intelligent Investor — stocks = businesses

Security Analysis — intrinsic value matters

Buffett’s letters — buy understandable companies with moats

One Up On Wall Street — growth also matters

The Most Important Thing — risk and second-level thinking

These books rewired my thinking: I wasn’t investing; I was betting on noise.

3. Building a real system

I studied macroeconomics, business models, and financial statements. I shifted from watching daily candles to examining revenue, margins, cash flow, competitive advantages. Short-term prices are unpredictable; long-term fundamentals aren’t.

4. The real test: U.S. market volatility

When I applied value principles to U.S. stocks starting in 2019, my portfolio grew — until the real psychological test arrived.

The pandemic crash, rate hikes, inflation spikes, tech sell-offs, rotation from growth to value… volatility in U.S. markets came in waves. Friends told me to “sell before it’s too late.” I was anxious too — but I had done deep research. I knew the businesses I held: their fundamentals hadn’t changed.

So when fear peaked, I added to my positions instead of running. Markets eventually stabilized, and the recovery validated the analysis. My account went from deep red → break-even → steady profit → eventually passing +100k.

This wasn’t luck. It was discipline meeting patience.

5. A decade of learning distilled into a tool

Value investing works — but it requires time: reading filings, analyzing statements, building valuation models. Most people simply can’t spend dozens of hours per company.

After writing thousands of pages of notes, I wondered:

Can I turn my entire investment workflow into a tool?

A tool that:

screens for quality companies

auto-analyzes financial statements

evaluates fundamentals & valuation

removes 90% of repetitive work

I’m a zero-code beginner, but with AI’s help, I spent half a year building it.

The result: https://aistock.tools

It’s not a trading cheat code. It doesn’t predict next week. It simply generates one-click stock analysis reports based on the value-investing methods I’ve refined for nearly a decade.

Enter a ticker → get fundamentals, profitability, growth, valuation, risks — all structured and readable.

I built it for myself first. Now I’m sharing it in case it helps others shortcut years of trial and error.

If this tool becomes even a small accelerator on your investing journey, then the work was worth it.