You don’t fix finance with slogans.
You fix it by making decisions move at the speed of reality.
That’s what Demandion is built for —
not faster trades, but faster truth.
#AI#Finance#Demandion
Jane Street, Goldman Sachs, JP Morgan, BlackRock, Hudson River Trading, Two Sigma, D.E. Shaw.
The most expensive engineering teams in the world released their financial tools on GitHub. Here are 7 repos, one from each.
1. Jane Street, janestreet/magic-trace
https://t.co/a2G20vnewK
5.3k stars. Process tracer powered by Intel PT. When your profiler is blind, magic-trace sees every CPU instruction.
2. Goldman Sachs, goldmansachs/gs-quant
https://t.co/SMYFwP3TWD
Derivative pricing the GS traders use at their desks. MIT licensed.
3. JP Morgan, finos/perspective
https://t.co/9rgy6FxYt4
What JPM traders use to watch markets in real time. A $24k/year terminal, for free.
4. BlackRock, blackrock/lcso
https://t.co/iHwsxZDZD9
Rust optimizer for portfolio problems. Where scipy gives up, this works.
5. Hudson River Trading, hudson-trading/corral
https://t.co/YhmrQFmYaZ
Structured concurrency for C++20. The foundation of HFT infrastructure at one of the largest U.S. trading firms.
6. Two Sigma, twosigma/flint https://t.co/ebEFqcDxJ6
Time-series joins on Apache Spark with temporal tolerance. Built for billions of ticks.
7. D.E. Shaw, deshaw/pyflyby https://t.co/uYDQKtnDVd
Auto-import for IPython and Jupyter. D.E. Shaw also funded the development of IPython itself.
Bookmarked it
Jane Street pays $750K/ year for quants who know how to apply probability theory and Markov chains in quant trading.
this 1-hour MIT lecture on "Probability Theory" gives you the same edge quants get paid $60K/month for.
Bookmark it & watch today. Then read the article below.
@rubcuev @VTikke @rubcuev totally agree with you. I started my ML journey in 2016 and everyone of my friends who study his course and post the certificate on linkedin
@ayushunleashed@levelsio@ayushunleashed I was part of a unicorn in india. now 200M + users
celebrity endorsed
we changed regulations to meet the growing demand of users
@levelsio@levelsio its actually opposite of what you think. theres 50B$ + of home grown startups indian founders indian customers moved nowhere
only 1 mega startup of actually someone in my network who built it in us and is an indian worth 150B$ rest all seem do be architects or engine
@jk__0__jk@harshitqback@levelsio obviously for tech operations. as they are meant to be global. thats the intent for software products isn’t it? max users
non tech ones obviously stay in india. there are many. look for indian ipos in 2024 alone.