10,920 karma · joined December 23, 2007
https://www.patch.io/careers - Backed by a16z, Coatue, and Energize Capital, among others.
Patch is building the software platform and infrastructure for the carbon market of the future. Our Carbon Access Platform helps suppliers and buyers connect via marketplace (https://www.patch.io/purchase), API (https://www.patch.io/api), or multi-year offtake agreements (https://www.patch.io/offtake). CarbonOS (https://www.patch.io/carbonos) is purpose-built to help carbon credit suppliers run every aspect of their business.
We are a small team of experienced engineers, distributed across the US and Canada. We are hiring a few more well-rounded engineers to come help us build a better future for the next generations.
Please apply via our jobs page. I can be reached at jean@patch.io and I'm happy to answer any questions.
To achieve real climate progress, businesses must decarbonize their operations. Some emissions are unavoidable, and that’s where Patch comes in. Patch's API connects carbon removal and renewable energy suppliers directly with the businesses that need them most with just a few lines of code.
We're a small team of successful startup veterans building a category-defining business in an industry the world deeply needs. We're backed by Andreessen Horowitz, Coatue, Version One, Pale Blue Dot, and are founded by the same team who helped take Sonder from 0 to 2B.
We're hiring across all domains. Feel free to reach out to me (jean@usepatch.com) or apply on our careers page.
Hopefully that helps! We'll be keeping these OSS projects online.
(I work at Quantopian)
Our kids are a quarter Finnish, a quarter Indian, a quarter French, and a quarter Chinese. I guess we'd need to run (4 choose 2) combinations here and work off of that list!
Quantopian is looking for senior software engineers to help us democratize the world of quant finance. Quantopian empowers technical, talented people everywhere to research, develop, and test investment algorithms. We're growing our engineering team to support our rapidly expanding user base and our ambitious product roadmap.
We are big proponents of open source (https://www.quantopian.com/opensource), and we have built several open-source projects that are popular in the quant finance world.
You can reach me directly at jean@<companyname>.com, I'd be happy to tell you more.
(I work at Quantopian)
If Google can't figure out how to make it work _on their own phone carrier_, I really do not have much hope for Android's messaging strategy.
Are they expecting very few people to file claims? Or what am I missing?
This guy took an Audi S5 and put a model S powertrain and batteries in it. Even kept the quattro system!
I am incredibly excited to try my hand at Stockfighter. Hopefully some of the things I've learned over the last few years at Quantopian will be useful, but I expect I'll learn quite a few new things as well.
(disclaimer, I work there)
You can specify a commission model (https://www.quantopian.com/help#ide-commission) and a slippage model (https://www.quantopian.com/help#ide-slippage).
Right now, you have to enter parameters into one of our pre-made models, but soon (next week probably) you'll be able to write a custom model that uses whatever inputs you'd like to calculate commission and slippage.
I can't speak for the author of the algo, but from the algo, it looks like the relevant lines for your question are 34 (order(stock,indicator * context.bet_amount)) and 35 (log.info("%f shares of %s sold." %(context.bet_amount * indicator,stock)).
Our backtester (Zipline) will only order whole number of shares, obviously. If you pass it a fractional number, we take the floor: https://github.com/quantopian/zipline/blob/master/zipline/ge...
The log line you're seeing should probably flip the sign of the number of shares before logging. order(-63, sid(6109)) means sell 63 shares of security 6109. The log line is simply logging the negative value instead of the positive one. Users can log anything they want in their backtest.
As for the slow performance, apologies - being on HN has resulted in a lot of people running this algo and while we're scaling up new servers, it's taking a bit of time to distribute load.
thanks for using Quantopian!
[Edit - added source link to Zipline's order method]