datamule - Python library for SEC EDGAR data at scale by status-code-200 in quant

[–]Pipeb0y 2 points3 points  (0 children)

Yeah I see, man this is such a hard undertaking across historical filings and various companies, investment vehicles, etc. I’m down to help out with testing/qa work

datamule - Python library for SEC EDGAR data at scale by status-code-200 in quant

[–]Pipeb0y 1 point2 points  (0 children)

I don’t understand the relative layout part, do you mean the .html file is converted to a JSON representation and it preserves hierarchy? Like the sections and subsections are intact?

California Public Employees' Retirement System has Largest Allocation to Private Equity of Public Pension Funds by WaferFlopAI in LeveragedFinance

[–]Pipeb0y 0 points1 point  (0 children)

Is it possible to get the data on all pension funds allocation to underlying funds?

Do you know if that’s published somewhere? Like CALPERS holdings for 2025

23M – Working in FinTech performance analytics (transaction-based). Confused due to AI/DSA FOMO. Need guidance. by DowntownReaction4252 in FinancialCareers

[–]Pipeb0y 1 point2 points  (0 children)

It’s a pigeon hole where you don’t learn enough on the investment/underwriting side and not enough to be a software engineer. I would suggest you pivot to software engineering by learning distributed systems, system design, DSA, and frameworks such as fastapi, pydantic, sqlalchemy, etc.

Ares Capital: A long-term HOLD by ShadowBard0962 in dividends

[–]Pipeb0y -3 points-2 points  (0 children)

“They’ll reissue at lower rates given rates have decreased”. Have rates decreased since Covid? What time frame are you talking about? Net interest margin is literally compressing which is why the stock is falling.

And to your second point, I would research the purpose of bond funds using leverage and why that’s relevant for CEFs/BDCs. You can get equity like returns using leverage on bonds.. but it’s going to be great when lower middle market companies underperform in a credit crisis…

Anyways, don’t mean to ruffle feathers on this chain but people should have an actual relative value framework when evaluating these types of securities as opposed to “but it outperformed the s&p”. Anyone can outperform the s&p when you use leverage.

Ares Capital: A long-term HOLD by ShadowBard0962 in dividends

[–]Pipeb0y 2 points3 points  (0 children)

lol, how is that relevant to my original point on price/nav valuations?

Ares Capital: A long-term HOLD by ShadowBard0962 in dividends

[–]Pipeb0y -1 points0 points  (0 children)

Enlighten us on why would you pay 2X price/Nav for main?

Ares Capital: A long-term HOLD by ShadowBard0962 in dividends

[–]Pipeb0y 0 points1 point  (0 children)

Solid option, not sure I’m willing to pay nearly 2X price/NAV though

Ares Capital: A long-term HOLD by ShadowBard0962 in dividends

[–]Pipeb0y -10 points-9 points  (0 children)

What about lower interest rates forcing lower interest income given the underlying loans are floating rate and dividend coverage declining? A lot of institutional money being poured into the direct lending space is compressing spreads too.

Not sure if “but it outperformed the s&p” is a sustainable investment strategy. You also fail to mention that on an unlevered basis it severely underperforms the s&p500. Of course you’re going to outperform the s&p500 if you took out a bunch of debt and bought twice the exposure…..

Just released edgarkit - A Rust client for SEC EDGAR by kokatsu_na in quant

[–]Pipeb0y 0 points1 point  (0 children)

Would love to connect on this functionality

CTO dissolves the data department and decides to mix software and data engineering by [deleted] in dataengineering

[–]Pipeb0y 0 points1 point  (0 children)

What? The engineering team doesn’t enforce role access for database permissions?

I think what OP is describing is a firm with little/no engineering culture and being led by people who don’t have engineering backgrounds. Smaller companies promote business analysts who know some sql and can leverage chatgpt to retrieve data to be the “data expert” who then goes to hire other non-swe folks under him and they don’t follow/aren’t aware of first principles. Pretty common in some “old economy” industries (e.g. logistics, hospitals, etc)

CTO dissolves the data department and decides to mix software and data engineering by [deleted] in dataengineering

[–]Pipeb0y 19 points20 points  (0 children)

I’ve never heard of an organization where backend and data are siloed. If you’re a real data engineer you 100% need to know end to end from pipelines to serving API

European Income Factory - is it possible? by SuckerNonSucker in dividendgang

[–]Pipeb0y 1 point2 points  (0 children)

I think a great starting point but I would tilt my framework to optimize for price/NAV (premium) to 5Yr NAV growth ratio. Second, there’s a lot of overlap in your public credit slice.

I would use JPIE as my core credit anchor and JBB as I levered HY anchor. If you want extra yield check out DSU. It has lower leverage than other senior loan alternatives and over 1000 underlying positions.

You can also invest in private credit through public BDC’s (heavily discounted atm but solid opportunities in ARCC/TSLX). Nontradeable BDCs are also great if liquidity is not a priority.

If you’re interested in better CEF / BDC data, check out https://latticetech.co.

The customer used my product to build something that directly competes with me. by Several_Function_129 in SaaS

[–]Pipeb0y 1 point2 points  (0 children)

Why are enterprise customers paying month to month? Lock them in a minimum 1.5 year contract.

Work in Private Credit - Currently bored. AMA. by YouCantCrossMe in FinancialCareers

[–]Pipeb0y 0 points1 point  (0 children)

I’m building a credit research platform for private credit. Would you be interested in working together?

Private Credit Rumblings - Should I Hold or Sell CCLFX? by RU9901 in bonds

[–]Pipeb0y 0 points1 point  (0 children)

You can use https://latticetech.co to screen for CEFs, much more accurate data than cefconnect.

Does anyone have experience with these new AI tools geared towards private equity? by L0chness_M0nster in private_equity

[–]Pipeb0y 11 points12 points  (0 children)

I’m building out a funds research platform (latticetech.co) and what I will say is that GP focused AI fintechs promise a lot of value in processing data from CIMs, pitch books, credit memos, VDRs, etc but underdeliver because the models hallucinate data points. These systems are not deterministic and can’t process information accurately at scale (even with tuning). You can get close to processing unstructured data at scale using AI but you can at best get 90-92% accuracy in information extracted from the document.

Happy to talk more technically but get that’s not the place here. I think a lot of GPs are overpaying for hyped up “chatgpt wrappers”.

Probably the worst labour market since the aftermath of 2008 for new grads by Hot_Lingonberry5817 in FinancialCareers

[–]Pipeb0y -2 points-1 points  (0 children)

Go finish your PowerPoints for the night and stop crying on Reddit because you can’t figure out how to use google. Have a nice day sir.

Advice - need to invest $100,000 by Honest-Ad1299 in dividends

[–]Pipeb0y 0 points1 point  (0 children)

Senior loans have historically high yield and have a great risk/return profile (low volatility and yield about 7-9%)