Lukas (@lejooon) header
Lukas (@lejooon) profile picture

Mathematics. Modelling in finance/insurance. Investing. Minimizing over loss landscapes. Asking questions.

Stockholm, Sweden
Joined April 2009
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Elon deleting all his tweets đŸ€ŁđŸ€ŁđŸ€Ł
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Discovering books from first principles.
We created gyms because modern day work no longer required physical activity. Without exercise, our muscles atrophy. I predict we’ll need gyms for our brains too, once AI starts doing our knowledge work.
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AIs cracking short-term superforecasting is such an important (and, still, under-discussed) trend. Via a new piece from @nikostro economist.com/science-and-te

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Lukas retweeted
Militia Capital is hiring a quantitative engineer in Austin. AI is probably going to eat discretionary investing in the next 10 years. We want to create AI tools and trading systems that distill and improve the judgment of our portfolio managers. We're not a HFT/MFT shop and don't expect to compete there; we're trying something different, which is to automate and trade on superior qualitative forecasts over weeks, months and maybe years. We're looking for exceptional statistics/ML, problem-solving and engineering ability. Finance experience is optional. Exceptional graduates and candidates from other technical fields are welcome. Pay: $275K base, $300K-$500K target bonus, depending mostly on your contribution to profits. Email [email protected] with your resume and a short description of your hardest technical project (research, open-source work, etc.), ideally with a link to it. I can't reply to everyone, and I apologize for that.
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This is just the age old PM vs. Analyst debate. Part of the PM toolkit should be knowing how to navigate this exact dynamic well.
Software pulling back 30%+ and then rebounding 40%+ back to same starting pt in a few qtrs while numbers didn’t change truly encapsulates how public equity mkt works today, and why many LPs and w2 investors like PE. Ofc screams opportunity if you are enterprising
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Using agents 24/7, it feels so obvious why certain SaaS (observability, ticketing, CI, cloud) are benefitting massively from AI Must be scary to being software investor who’s never used agents or these products
Huge Atlassian quarterly beat. There was a misplaced thesis over the past 6 months that somehow agents would be bad for certain software categories. There’s definitely truth in this in some areas, but many were parsing this poorly. In a world where agents are generating 100X more code, processing massive amounts of data, or making decisions across your systems, the role of the platforms that manage this data and these workflows becomes more important, not less. Enterprises care about governance, security, compliance, guardrails, safe access to data, and many more critical capabilities that go into these systems of record.
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EU stocks: Software vs Semi 4day Performance (Source: Morgan Stanley)
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Jahresperformance an einem Handelstag. Wer Semis long ist, darf diese Moves gerne und völlig zurecht abfeiern es Àndert aber nichts daran, dass wir es hier zurzeit mit einen schwer gestörten Markt zu tun haben
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Pratar lite Argo Defence och spekulerar kring vad som hĂ€nder med Evolution i bl.a. Sydkorea. Men Ă€ven lite sportsbetting historik och hur Kambi et al. ”stĂ€nger av” vinnande spelare
Sommarserien tuggar vidare och denna vecka har vi med oss Marlon @MrEVplus pĂ„ Exelity som i 20 Ă„r skapat överavkastning. shows.acast.com/marketmakers
 Retweeta gĂ€rna!
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One of the most persistent misconceptions I see about the industry is that systematic = quant = stat arb = HFT. Jane Street has never been an HFT in the sense of Virtu or Tower, and at this point they even have fundamental long/short equity (but traded systematically).
Replying to @GoshawkTrades
For what it's worth, Jane Street is not a low latency specialist. They have plenty of desks running liquidity taking strategies at daily, weekly and monthly durations.
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Replying to @arashhakimiii
Det Ă€r faktiskt rĂ€tt anmĂ€rkningsvĂ€rt att kalla helt vanlig due diligence för "inte se skogen för alla trĂ€d". Finns ingen avancerad matematik bakom det utan rĂ€tt enkla principer och framförallt en förmĂ„ga att se saker nyktert och utan ekonomisk vinning. Begrunda trĂ„den nedan som föranledde min trĂ„d om marginalerna i $SNX. Det var "vĂ€ldigt uppenbart" för Herr Ödmjuk att marginalerna skulle ligga pĂ„ 8.5% under 2026 och sen leta sig upp till 11%. Men han lyckades inte ens pricka marginalen pĂ„ 7% till 2 mĂ„nader senare som landade pĂ„ 6.5% pĂ„ rullande. Jag förklarade att det fanns flera drivkrafter varför marginalerna skulle komma lĂ€gre (ökad mix mot nötter/Coop-affĂ€ren som Ă€r lĂ„gmarginal, sĂ€mre skalfördelar pĂ„ de *relevanta* delarna Ă€n vad mĂ„nga prisar in och vad VDn sjĂ€lv sĂ€ger (!). Samt varför folks extrapoleringar byggt pĂ„ fel premisser (bruttomarginaler som varit FX-dopade). IstĂ€llet började bolaget klaga pĂ„ dĂ„liga jĂ€mförelsekvartal, dĂ„lig potatisskörd, frakt i enstaka fall, negativ pĂ„verkan frĂ„n att man gjorde utförsĂ€ljningar, ICA-avtal som inte gick igenom, Willys. Flera kvartal i rad. Det finns alltid tusen bortförklaringar och man har sett det förut. Vad byggde han sin servett pĂ„? Vad VDn erinrat i tidigare samtal. Gjorde han nĂ„gon egen analys? Troligen inte. Svarade han nĂ„got vettigt nĂ€r jag frĂ„gade om utveckling? Nej istĂ€llet nedlĂ„tande att man ska sĂ€tta upp saker i Excel. Om detta kallas för avancerad matematik eller att inte se skogen för trĂ€den sĂ„ vet jag inte vad jag ska sĂ€ga, för tyvĂ€rr blev det exakt som jag började pĂ„peka i November i detta fallet.
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Replying to @FundamentEdge
I would say that the dominant approach in multi-managers now is “quantamental” especially in equities (not so much in fixed income or macro). Center books, alpha capture (external and internal), factor and sector hedging overlays, replication. Far from having failed, it became so ubiquitous that we don’t notice it any more. I think people thought that “quantamental” would mean fundamental managers using lots of quant inputs but in fact it turned out to be much more profitable for fundamental managers to be inputs into a quant investing process.
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Replying to @jokkexxx
Sivers har kund -> bullish Sivers tappar kund -> ocksÄ bullish
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Alex Gerko has built XTX Markets into one of the fastest growing, most profitable firms in the secretive business of algorithmic trading via a prescient bet of AI-powered quant strategies wsj.com/finance/alex-gerko-x

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Enea. ÄNTLIGEN som den gode Fylking skulle ropat. Enea MOSAR förvĂ€ntningarna med 12% organisk tillvĂ€xt, den högsta pĂ„ mĂ„nga Ă„r. ABG rĂ€knade med 1%. Med starka bruttomarginaler pĂ„ 77% och tight cost-control ökar EBITDA med 42% till 75 mkr mot ABGs est pĂ„ 53 mkr. Aktien pĂ„ PE 10x
Enea. Ägardata visar det man kunnat misstĂ€nka. Att i princip samtliga AP1s aktier som hamnade i knĂ€et pĂ„ AP3 och AP4 i januari har sĂ„lts av dessa. Totalt 1.2 miljoner aktier har kommit ut (6% av utestĂ„ende aktier). PĂ„ en iskall microcap-börs. đŸ„¶
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WTI is not trading at a premium to Brent. It's an artifact of futures roll dates. The front month Brent contract rolls earlier than front month WTI, so Brent front month is currently for *June* delivery whereas WTI front month is for *May* delivery. The rolls are about three weeks out of sync - around 15th Apr the pattern will look "normal" again as WTI rolls to June, and then on 23rd Apr it will look "wrong" again as Brent rolls to July. This creates a sawtooth offset to the true Brent/WTI premium. You can see it clearly in this chart of prices from 2005-06 where the blue line is the difference of the active contract, and the red line is corrected by interpolating to a constant 30 calendar day maturity.
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LĂ€st i mailkorgen: ”The average EU stock move on results through 4Q earnings season has so far been the largest on our data stretching back to 2010, and that despite a small magnitude of EPS surprises.”
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