stocknear

Hey folks,

I’ve been preparing the dataset for my congressional database and one particular politician was standing out the most.

Rep. Rob Bresnahan’s (R-PA) recent stock activity is surpassing the +150 trades mark. That’s a lot of button-pushing for any investor, let alone someone in Congress.

A few things jumped out at me:

Trade Frenzy: Over 150 individual trades in just 31 days—that’s almost five trades a day, on average.

All Over the Map: He’s not sticking to one corner of the market. Huge tech names (NVIDIA, Alphabet, Texas Instruments), pharma heavyweights (Pfizer, Eli Lilly), even energy players (ConocoPhillips, Occidental Petroleum).

Mid-Sized Bets: Most of his buys and sells land in the $1K–$15K zone, but there are definitely some chunkier moves in the $15K–$50K range.

Buy & Sell Balance: It’s not just one-way traffic—he’s selling almost as much as he’s buying. Sounds like active day trader instead of a “buy-and-forget” play.

When lawmakers trade this much, it puts the spotlight on possible conflicts of interest. Are they making policy while secretly banking on the very industries they regulate? Current rules are supposed to keep things aboveboard, but clearly there’s room for debate on tightening up those ethics guidelines.

If you want to keep tabs on what our elected officials are doing in the markets, check out Stocknear

Hi everyone

I’m the founder of Stocknear, a fully open‑source, European alternative to US giants like Yahoo Finance, Unusual Whales, CheddarFlow, and Stock Unlock. The Challenge: Real‑Time Data Isn’t Cheap

High‑quality market data licenses—those used by big hedge funds and quant shops—can cost tens of thousands of euros per month. Retail investors are left paying through the nose for delayed or clunky tools.

Our Solution: Democratizing Market Insights

At Stocknear, I’ve negotiated bulk deals with multiple exchanges and data providers, then passed those savings directly to you. Because I run this as a one‑person project, I’m ruthlessly focused on maximizing value without ever compromising on data quality.

Key Features

    Real‑Time Dashboard Fast, intuitive charts and quotes with zero lag.

    Why Prices Moved Instantly see the top drivers behind every major market move—perfect even if you’re brand‑new to investing.

    POTUS Tracker Live updates on the US President’s schedule, executive orders (with impact analysis), and his latest Truth Social posts—so you can gauge political moves in real time.

    US Congress Portfolio and Top Wallstreet Analyst Ratings updated in realtime

    Financial History Access for all companies for the last +30 years.

Why Stocknear Matters

    Transparent & Open‑Source: Inspect, audit, or even contribute to the code.

    Lean & Focused: No hidden fees, no fluff—just the data you need.

    Built for Retail: Tools designed around your needs, not Wall Street’s budget.

    Pro Consumer; Anti-Greed: We do everything we can to be as consumer friendly as possible hence we have the lowest subscription cost compared to the overall market. By open-sourcing the entire project we make sure to fight against enshitification and keep the quality as high as possible focused solely on our users needs.

Help Us Hit 1,000 Subscribers

We’re so close to proving a truly European alternative can compete with the US incumbents. Every new subscriber keeps our servers humming, our code open, and our data flowing freely.

Easter Special: 50 % OFF Use code EASTER25 at checkout for half‑price on your first subscription. No strings attached—just our way of saying thanks for supporting independent, open‑source finance.

Ready to see Stocknear in action? Check it out today and let’s build the future of market insights—together!

Link: https://stocknear.com/

Hey everyone,

I wanted to share a quick analysis that highlights what I see as the problematic nature of congressional stock trading. No elected official who represents the people should be trading public stocks—especially when they have privileged access to both international and domestic political information that can impact markets.

A prime example is Rep. Marjorie Taylor Greene. Recent filings indicate that she has been buying stocks when prices dipped, seemingly to benefit her personal portfolio. Meanwhile, average citizens are feeling the impact of trade tensions, particularly with China. One striking detail: on April 4th—coinciding 5 days later with a major political announcement. On April 9th President Trump announced a 90-day tariff pause, which skyrocket the market.

Here’s a list of some of the companies she invested in:

    JPMorgan Chase & Co. (JPM): A global financial services company that operates through Consumer & Community Banking, Corporate & Investment Bank, Commercial Banking, and Asset & Wealth Management.

    FedEx Corporation (FDX): Provides transportation, e-commerce, and business services both domestically and internationally.

    Norfolk Southern Corporation (NSC): Engages in rail transportation for raw materials, intermediate products, and finished goods in the United States.

    Caterpillar Inc. (CAT): Manufactures and sells construction and mining equipment, along with engines and industrial turbines worldwide.

    Dell Technologies Inc. (DELL): Designs, develops, manufactures, and sells IT solutions, products, and services globally.

    Impinj Inc. (PI): Operates a cloud connectivity platform that connects individual items and gathers data for businesses across several continents.

    Amazon (AMZN): Engages in retail sales and subscriptions, operating both online and in physical locations worldwide.

    QUALCOMM (QCOM): Develops and commercializes foundational wireless technology used across the globe.

    Lam Research Corporation (LRCX): Designs, manufactures, and services semiconductor processing equipment used for integrated circuits.

    RH (RH): Operates as a retailer for home furnishings, offering a wide range of products including furniture, textiles, and decor.

    United Parcel Service Inc. (UPS): Provides delivery, transportation, and logistics services.

    Nike (NKE): Designs, develops, and sells athletic footwear, apparel, and accessories for men, women, and children on a global scale.

    Lululemon Athletica Inc. (LULU): Designs and retails athletic apparel and accessories.

    Old Dominion Freight Line Inc. (ODFL): Operates as a less-than-truckload (LTL) motor carrier in North America.

The pattern is clear: these companies suffered significantly from tariffs, which led to increased market uncertainty and volatility. From manufacturers to freight carriers, the entire supply chain—from China to the U.S.—was affected. It appears that Rep. Greene capitalized on these market dips on April 4th, 5 days later when President Trump announced a 90-day tariff pause, seemingly urging his insider circle to buy stocks, asserting, “this is a good time to buy.”

In short, her actions and similar ones from other politicians, raise serious ethical questions about profiting from market shifts influenced by political decisions.

To view her full portfolio, check out the details here.

Sorry, I'm trying to create/reproduce machine learning models from articles in order to predict trends and price changes.

I'm attempting to be as transparent as possible by providing model metrics and open-sourcing the code.

My purpose is to provide a range of models for the general public who lack the necessary access or technical knowledge to develop it themselves.

thanks for the tip

Hey guys,

Over the past year I've been working on my pet-project stocknear to help small investors to beat the hedgies with high-quality data + machine learning algorithm that mostly are based on certain papers to predict trends, price movement, sentiment analysis etc.

From today onwards the project is 100% Open-Source = Frontend+Backend.

The frontend is based on Sveltekit and Tailwindcss. The backend is a combination of FastAPI, Fastify and Pocketbase.

The reason why I wanted to open-source the project is to fight enshitification and also this field is filled with scammers and get-rich schemes. I wanted to become one of the few people who actually help users in the stock market without ads, tracking each movement or anything shady. An AI Stock Analysis Platform by the users, for the users.

Link: https://github.com/stocknear

Thank you! I will expand the rules of the stock screener further to include fundamental data as well as technical indicators :)

Not much at the current stage. In range of 50-500 QPS.

However, my main goal for Marmot was to decrease the latency of my website by putting the db as close as I can to the end user

Thank you for your feedback.

1) Will look it up 2) I will fix the issue with penny stocks. 3) Will add it to the dividend calendar

Thank you very much for the feedback :)

Never heard of EODHD but i will take a look now to see what benefits they could add to the website - Thanks!

If you want to hang around in discord you could add me "near114" or join the discord group https://discord.com/invite/KWX9SpHQQP

Talk to you soon :)

I'm using Marmot for my own website on production. Up to this date there were no problems.

If I had any technical issues (i.e. questions, optimizations etc) I always asked the developer maxpert and he gave me in-depth answers that helped me personally a lot.

In my case I have much love for Marmot and hopefully it grows and helps a bigger community

First of all,

Thank you guys for the support, feature request and the bunch of bugs report that I received to make the website better.

Lots of you guys mentioned they don't like the concept of sign-up to the website when the information should be free.

I removed all barriers and you can now enjoy the website without signing up whatsoever.

The only reason to sign-up is to add stocks in your watchlist, participate in the portfolio tournament, share your memes, write a comment.

If there is anything else how to improve the website I would highly appreciate it :)

Thanks for the feedback. I feel you. I will try to remove it in the near future. The login is more of a security layer against bots scraping the website easily.

I will think about other free security layers to remove the login feature :)

Not exactly sure what you mean by "(I am not connected to the developer)"

< I (anyway) use single-use accounts for such services.. doesn't anyone? I have not problem if you create a fake account. As long as chinese/russian/iranian bots don't attack me I'm good :D

We have memes :D

Yes but the free plan is quite useless.

You can only analyze 5 stocks. That's it!

No,

I train each stock on a separated model to not interfere and make the dataset "dirty".

Each stock has its own dynamics thats why i split each model

Sure!

I will add "Advanced Charts" in the near future where you will get a much more sophisticated chart analysis tool for free :)

Glad you liked it.

Im happy someone from the DeepL community from cologne liked the website.

I would be happy to hear your feedback.

Thank you, that means a lot to me

Thanks,

ETF,Market Index and cryptos will be added soon. So stay tuned :)

True,

I forgot about the splits. But i still believe building a first version where the split is included is a good start for this feature.

Later on we can add more advance features where we can turn on/off the split

Yep this is one of the biggest bottlenecks for this solo project.

I get my data from Financialmodelingprep which I do not recommend because of the recent price increase.

But i gotta pay those bills to make a really good website for my users

I am trying to build a robust and reliable open-source model for the AI Bot. The challenges that you are mentioned are definitely one of the biggest problems.

However, I think we have to reformulate the question. Instead of maximizing the win rate (which relies on forecasting the future price) the real task would be minimizing risk (which does not rely on forecasting the future price instead adapting to the new environment).

Price prediction follows a gaussian distribution. The "Highest, Average, Lowest" are showing the value of the 68% confidence level.

thanks for the bug report. I can't reproduce the bug.

Google sign-in works for me.

Anybody else who has the same issue?

That means a lot to me. Thank you

> This is great spirit, but the lower class would probably be better suited for simple index funds.

I fully understand you.

However, I strongly believe to beat the system where the rich people are flourishing too much and the poor are getting poorer everyday due to inflation, there must be some way to stop it. Maybe AGI?

In the meantime I will do everything I can to serve the poor/middle class to survive on better terms during these hard times.

I'm not sure myself if this feature exist somewhere for free. However, it sounds very straightforward.

I will add the feature to my website. Should be online by tomorrow!

Thanks for the feedback.

I will fix it :)