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yoshyoshi

Launch HN: Alpaca (YC W19) – Commission-Free API for Algorithmic Trading

Hi HN,Yoshi at Alpaca here. After introducing Alpaca API - the commission-free stock trading API the end of last year, we are now excited to launch Alpaca API for Algo trading, which includes a lot of new features that were requested.Pls check out the new API documentation here: https://docs.alpaca.markets/api-documentation/api-v2/More information on those features here:...

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Open source commission-free trading app

We built Alpaca Dashboard to be an extremely minimal skeleton app for hackers to change things around by adding features and refining the designs so that s/he can build his/her own commission-free trading app. The app connects to the API-first commission-free stock brokerage, Alpaca. https://www.producthunt.com/posts/alpaca-dashboard

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Re:Ask HN: What stock trading API do you use or recommend? on Friday October 26, 2018 @03:15PM (#18312013)
Hi I am a founder of Alpaca, but please try out https://alpaca.markets/ . We built this commission-free trading API for tech developers in mind (simple REST API).

We also wrote up articles wrt market data and any algo-trading related applications here as well!

Algo trading application list https://hackernoon.com/9-great-tools-for-algo-trading-e0938a...

Data vendors list https://blog.alpaca.markets/blog/2018/7/24/data-data-data-11...

Re:How You Can Exploit Cryptocurrency Correlation on Thursday June 07, 2018 @04:12PM (#17259783)
There is correlation within any sector or asset class, however there are particularly interesting patterns in Cryptocurrency due to the new and speculative nature of the market, along with its historical pairs structure.
Hi HN! We saw lots of good discussions in social media and offline when posting about MarketStore, the timeseries database for financial market data. We’ve been answering questions and responding to comments, but today we wanted to take the opportunity to put all the queries and responses together in one post and share it with the entire community so everyone can get a look at the responses on a single post.
We have been working on financial timeseries data for last few years building a dedicated database "MarketStore" from scratch and collaborating with a number of financial institutions to build financial market specific AI models. We partnered with Bloomberg this time to provide our AI engine as SaaS for any Bloomberg users. Please check it out!!
Hi there! This is the 3rd post about trading crypto... this time, we wrote about what we think about technical analysis in crypto trading, which we think pretty important.
This is our 2nd piece to enter into trading Crypto assets with the experience of trading traditional asset class.
Re:Show HN: Alpaca Trading API Now Available on Mashape on Wednesday May 23, 2018 @07:26PM (#17139411)
Hi HN! Alpaca is a modern platform for algorithmic trading & automated investment strategies. Alpaca's API is the interface for your trading algo to communicate with Alpaca's brokerage service (SEC registered and a FINRA member).

The API allows your algorithms to access real-time price, fundamentals, place orders and manage your portfolio, in either REST (pull) or streaming (push) style.

In order to start trading with Alpaca API, please sign up here to firstly get on the waitlist. We are currently in the private beta. https://alpaca.markets/

Once you have signed up and have familiarized yourself with our API, please check out our python client to begin writing your own algos!

Re:Quick Intro to the Crypto Fundamental Analysis on Wednesday May 23, 2018 @01:21AM (#17131627)
Hi HN! We are writing a mini-series looking into (1) the nature of Cryptocurrency trading and investment, (2) the key factors which shift the markets, and (3) the important differences between Crypto and more traditional traded assets. This is the Part 1 of 6 posts. Love to hear your feedback!!
Hi HN! This system architecture is something that we use in production at https://alpaca.markets/, and we opensourced this for the community and are showing the step-by-step process for this on this post. Waiting for some feedback on this!!
We wrote up a step-by-step example how to use order-flow data. This one is for EUR/USD, but should be applicable to other pairs including crypto pairs where you can get such order-flow data.
Hi HN, we built MarketStore, now opensourced, to address scalability issues around handling large amounts of financial market data analyzing price history with data spanning many years, including tick-level for the all US equities or the exploding crypto currencies space. You can think of this as an extensible DataFrame service that is accessible from anywhere in your system, at higher scalability.

Looking around github, many timeseries databases were there but mainly for general-purpose timeseries data, targeting IoT sensor data or system monitoring metrics and designed for JSON. Financial timeseries data, in particular, has different requirements, in which the data is pretty dense, more structured, and long history is demanded. We couldn’t find the best solution for our financial markets use case. It was obvious that not just we but also anyone who works on this financial timeseries data would need this solution. In the coming age where more and more people write automated trading systems and try to analyze this kind of data, it is inevitable to handle it very efficiently.

We wrote about a specific use-case dealing with Bitcoin price data for crypto algorithmic trading.

https://blog.alpaca.markets/blog/2018/5/8/how-to-setup-bitco... .

And if you’re interested more in the development/internals of this project, we wrote a post when opensourced MarketStore. We love to hear your feedback!

https://blog.alpaca.markets/blog/2018/3/5/marketstore-openso...

I am Japanese, and I don’t feel that not all our society agrees with whole article 9 thing anymore. North Korea has been too much threat for sure... real missiles flew over our houses few times in last 6 months..
Re:Money stolen by Bernie Madoff is still being found on Thursday March 01, 2018 @02:48AM (#16490342)
Yeah that movie really helped me understood a whole picture

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