HarmoniQ Insights retweeted
Earn no money
HarmoniQ Insights retweeted
Good question.. pre-market data is hard to get right cuz it happens across multiple venues simultaneously, and each exchange has its own session hours, data feed, licensing requirements, etc. Most APIs either aggregate these imperfectly or rely on consolidated feeds that have minimal pre-market coverage by design.
Databento sources direct feeds from each exchange. Pre-market data is available historically on our Standard plan, but for live pre-market data you'd need the appropriate license (regardless of which data provider you choose) and plan tier.
The EQUS(.)MINI dataset specifically covers a subset of venues that have thin pre-market activity. For full coverage you'd want to aggregate the individual venue feeds directly.
tldr: There's no single clean source due to fragmentation. Anyone claiming otherwise is either aggregating imperfectly or missing venues. Feel free to chat on our website if you have more questions.
Why are premarket quotes so difficult to get correctly via APIs? Have tried using @DatabentoHQ (US Equities Standard tier), @eodhd_apis, even Yahoo Finance API - but they all have data missing / sometimes are completely wrong.. what would be the best source?
@christinaqi maybe you can give some color on what makes this so tough to get right.. Databento works great for intraday but EQUS.MINI dataset has very thin coverage of premkt/after hours..
HarmoniQ Insights retweeted
I put Fable 5/Max to work on my inductive learning [not so] little survey on Inductive Learning and it has significantly improved. I will share it. I will rerun some prompts and research programs on investment topic. They went nowhere on codex 5.5 and CC Opus 4.8. A new world.
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@Tickblaze is looking for a Lead Quant Coach & Educator to lead our Alpha Quant Syndicate (AQS) program: tickblaze.com/careers
teaching traders, hosting live trading rooms, reviewing systems, coaching members, and helping traders progress from ideas to robust, live automated strategies.
This role is ideal for someone who has personally built, tested, optimized, and traded systematic strategies and enjoys sharing that knowledge with others.
You’ll spend your time discussing markets, reviewing systems, teaching quantitative trading concepts, and helping traders avoid the mistakes that most only discover through experience.
Email: [email protected]
View full details and how to apply:tickblaze.com/careers
#QuantTrading #AlgoTrading #SystematicTrading #TradingJobs #QuantResearch #TradingEducation #FinTechJobs #TradingSystems #AlgorithmicTrading #Tickblaze
HarmoniQ Insights retweeted
Bill Mann (@HarmoniQuant) and Mark Connors (CEO,
@riskdimensions) sit down LIVE with
@SeanKozak, CEO & Managing Partner of
@Tickblaze— the multi-asset integrated trading infrastructure platform combining execution, risk management, market data, and back-office operations in a single OS.
youtube.com/live/0yMYA0QJuw0
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Join us at noon. Also check out the link below and get 75% off eligible Tickblaze Marketplace products! Apply code MEMORIAL75 at checkout: members.tickblaze.com/market…
HarmoniQ Insights retweeted
🇺🇸America’s Small Business David vs. Ivan Drago’s Communist Corporation‼️The Man in the Arena" — Eddy Connors, Co-Founder & CEO of Goodie Bag | E... youtu.be/Bmd57jnNDqE?si=M-0I… via @YouTube
HarmoniQ Insights retweeted
The Home Office Hedge Fund — LIVE This Friday with @SeanKozak, CEO of @Tickblaze | Ep. 54 substack.com/@newbarbarians/…
HarmoniQ Insights retweeted
“If Wall Street algorithms trade stocks in milliseconds, does the literal physical distance of a server to the stock exchange dictate who gets rich?”
Michael Lewis would tell you “Yes,” but that’s an outdated answer. At some point it doesn’t make sense to play the speed game (e.g. digging holes through mountains to be 1us faster) because it’s just not scalable. There’s been a shift to AI/ML in the past decade, that’s why you rarely hear about HFT in the news anymore. But smarter strategies are slower by nature (complex things take longer to compute). The top quant firms are still really fast, but they’re not trying to be *the fastest* if that makes any sense. As in, they’re not playing purely a dumb speed game anymore.
For more context, speed has always been a thing in trading, even before the markets were electronic. The Pony Express, the telegraph, etc. People hired faster runners to place trades before everyone else.
Modern technology made things so close to the speed of light, to the point where being a microsecond faster just doesn’t yield the same ROI anymore. Thus the focus on smarter strategies. Also many of the fastest routes are commoditized today (vendor-owned).
When I worked in HFT, the most unfair things I experienced were from brokers and lawyers and accountants. Not from access to speed (colocation). There’s a lot of misinformation on Reddit lol
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🚨BREAKING: NY PLANS NEW TAX ON CITY HOMES OVER $1 MILLION BOUGHT WITH CASH
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Make sure you join us next week when the CEO of @Tickblaze joins us!
How Quants Trade Smarter: TickBlaze + Python #trending #podcast #trending youtu.be/nkRf4oYTwIw?si=
fvrAj1JmbybrC2AB via @YouTube
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i had to take photos recently, and the photographer insisted on taking some at my piano
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Will AI replace finance jobs? Wrong question. The real question is:
What parts of the job get automated — and what becomes more valuable when they do?
In this clip, we get into the brutal truth:
AI won’t eliminate the need for judgment.
But it will compress old research moats and change the edge.
Featuring insights from @christinaqi, CEO of @DatabentoHQ.
Full episode: youtu.be/BxiNptG8h_Y
#AI #Finance #HedgeFunds #Quant #FinTech





















