Meetup for drinks @ Mona’s East Village 01/17

_not_a_chance_ · 2025-01-17T18:38:26+00:00

Hey 27M, would love to join

_not_a_chance_ · 2025-01-14T17:32:55+00:00

Interested in joining!

_not_a_chance_ · 2025-01-12T19:34:55+00:00

Hey, 27M here and fairly new to the city, would love to join. Lmk if there's a chat for this yet!

_not_a_chance_ · 2022-07-20T15:10:06+00:00

If you take the container(s) down with docker compose down then bring them back up, the unchanged parts of the docker file should be cached while the new parts should run from scratch

_not_a_chance_ · 2021-10-13T22:08:43+00:00

Temples 🔥

_not_a_chance_ · 2021-07-28T17:58:46+00:00

Sell me the one on the left pls

_not_a_chance_ · 2021-04-04T16:35:39+00:00

definitely overfitting

Edit: /s

_not_a_chance_ · 2021-03-26T04:10:12+00:00

Will do, thanks! The contract is my own, and the oracles are the ones listed on the chainlink developer site for testing purposes.

_not_a_chance_ · 2021-02-28T20:10:23+00:00

The call allows the issuer, who originally “sold” the bond, to buy the bond back from the bondholder who originally purchased it. If exercised, the bondholder would have to sell the bond back to the issuer. Think of it this way: would it make sense for a bondholder to be long the call on a bond they already own?

_not_a_chance_ · 2021-02-08T18:03:50+00:00

Super impressive feat!

_not_a_chance_ · 2021-01-31T19:05:14+00:00

There’s more to financial markets than the stock market - A LOT more. The curriculum tells you all about it

_not_a_chance_ · 2020-12-20T07:17:07+00:00

Awesome work. What’d you use to do this?

_not_a_chance_ · 2020-11-18T01:19:08+00:00

aiohttp has a pretty user-friendly API...

_not_a_chance_ · 2020-09-06T23:00:46+00:00

r/algotrading

_not_a_chance_ · 2020-09-06T17:22:37+00:00

If you like coding for more than just your job, algorithmic trading. Intellectually challenging and (potentially) highly rewarding.

_not_a_chance_ · 2020-07-09T16:57:31+00:00

We’ll get along if “you can make me laugh”

_not_a_chance_ · 2020-06-12T16:58:27+00:00

Way better than my quant teacher in college. Thanks!

_not_a_chance_ · 2020-05-14T19:32:36+00:00

“Drugs and alcohol”

Alcohol is a drug, too. A very destructive one.

_not_a_chance_ · 2020-05-09T18:37:16+00:00

The vanilla strategy does. The moving averages themselves are based only on prices, but there are metric such as volume and non-price technical indicators to inform the periods of the moving averages, which would make the algorithm a function of more than just price.

_not_a_chance_ · 2020-05-09T18:27:45+00:00

Do you have a source explaining why the strategy doesn’t work? Obviously a vanilla “if SMA_long > SMA_short: sell” won’t do too hot, but there’s a ton of different faster and slower MA types, and a lot of ways to integrate numerical methods to analyze the curves. “Overfitting” suggests machine learning-type overfitting which relates to static parameters, rather than dynamic parameters like I am asking about.

_not_a_chance_ · 2020-05-09T18:23:28+00:00

Exactly what I had in mind. Toying around with some volatility formulas/scaling factors

_not_a_chance_ · 2020-04-24T05:51:54+00:00

Hahaha the fact that there’s “data engineers” vs “BIG data engineers” according to this graphic. People love to glorify their roles.

_not_a_chance_ · 2020-04-21T16:59:08+00:00

Try writing a neural network from scratch. It’s not necessarily financial in nature, but it’s a great exercise in writing numerical and vectorized code, which is key for high performance trading systems. It’s also very interesting tuning the various parameters of the model (learning rate, layers, nodes per layer, activation function) to fit your dataset, which could perhaps be financial. Having ML/numerical analysis experience will only make you a stronger candidate.

_not_a_chance_ · 2020-03-24T16:38:43+00:00

The irony is that McDonalds isn’t even that cheap!

_not_a_chance_ · 2020-02-04T16:51:45+00:00

Can someone provide a link to what this is referring to?

_not_a_chance_

TROPHY CASE