pid-1
Major skill issue.
I'm also in favor of very light copyright laws, e.g. I don't think anyone should claim they are Coca Cola.
A few examples:
1. As a researcher, you can develop indexes and portfolios, then make those available to customers via bbg
2. Goldman has a service that let's you buy equities via SWAPs, if a fund can't hold said equities for regulatory or operational reasons. The whole service is a series of menus within the terminal.
3. Many brokers offer automatic trading services like "sell this notional but do it very slowly" etc etc... they do that via bbg
Most ppl are better off KISSing and lowering risk by selling equity for fixed income.
At the same time, one can make financial decisions based on risk rather than longterm expected returns.
For instance, I'm happy with fixed income yields rn.
What would scare me is losing a big chunk of my portfolio in a downturn, exactly when I'm also most likely to lose my job.
Never buy derivatives as a non institutional investor.
I imagine that using an ASIC is way more cost efficient vs using a CPU.
Other week I fixed a a water valve. After planning the thing with ChatGTP I brought the new valve. Then I described what I was seeing as I swapped the old valve for the new one to make sure everything was right. Really cool experience!
The maximum granularity is also 'per repo'.
2 You need to rebalance to take corporate events into account: new stocks, buybacks, dividends, etc...
Some folks go vegan after seeing how the sausage gets made.
Everything it does can be done reasonable well with list comprehensions and objects that support type annotations and runtime type checking (if needed).
Pandas code is untestable, unreadable, hard to refactor and impossible to reuse.
Trillions of dollars are wasted every year by people having to rewrite pandas code.
HN does not enforce anonymity, so the identity of some users (many startup owners btw) is tied to their real identities.
A compromised password could allow a bad actor to impersonate those users. That could be used to scam others or to kickstart some social engineering that could be used to compromise other systems.
So you end up with a worse ChatGPT that also doesn't have work context.
Anedote: in Wall Street, Global Relay and TeleMessage are the major players when it comes to achieving communication for compliance.
My company has 100s of data pipelines that are executed infrequently.
For this use case Athena is ridiculously cheap and easy to use vs most other solutions.
You can setup a data lake, save data and start doing queries in like 10 minutes with this setup.
I've found some that enjoyed using it a "smart auto complete" both in Word and Outlook, however.
Most of my users are financial analysts.
I was referring to Copilot for M365, which costs 30 USD / month and targets biz users.
Github Copilot is definitely worth it.
I'm definitely not renewing those. Times are hard and the value provided does not justify the cost.
I wonder how many companies will do the same.
1. pip install libfoo==1.x.x
2. pip install libfoo==2.x.x --target ~/libs/libfoo_v2 # vendor libfoo v2
3.
import sys
import libfoo
original_sys_path = sys.path.copy()
sys.path.insert(0, '~/libs/libfoo_v2')
import libfoo as libfoo_v2
sys.path = original_sys_path
There are caveats of course. But works for simple cases.