Alpaca-API
orchest
Alpaca-API | orchest | |
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81 | 44 | |
137 | 4,022 | |
0.0% | 0.1% | |
0.0 | 4.5 | |
over 3 years ago | 11 months ago | |
TypeScript | ||
- | Apache License 2.0 |
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Alpaca-API
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anyone using Alpaca for long term investing?
Is there anyone using Alpaca for long term and passive investing? I am neither a US nor Europe residence, so it is pretty hard to find a decent broker. I came across alpaca.market https://alpaca.markets/ and noticed that there is zero comission for buying and selling stocks. I know that it has pretty good API especially for developers and day traders, but i am particularly interested in long term passive investing, and not interesting in day trading at all. Is it goog for long term passive investing (buying and holding etfs)?
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ChatGPT is going to revolutionize the stock market
No worries at all! https://alpaca.markets/ is another route for market data. Real time data is cheaper but it is lacking technical analysis. We used to use it and it's pretty good.
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Python developers -- what broker and api do you use?
Alpaca: https://alpaca.markets/
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Python Algotrading with Machine Learning
Access to historical data from Alpaca and Yahoo Finance, or from your own data provider.
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Ask HN: How Safe Is Alpaca?
I have been looking at https://alpaca.markets/ and wanted to use it to test out some of my API based trading.
What guarantees or structures are in place to make sure it doesn't end up like FTX?
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Feetr Data Dump: BBBY TENX UNCY LUNR ARDS
Market data is an easier one to answer. We currently use https://alpaca.markets/ and they're pretty good, but we're also looking at https://polygon.io/ as they're the industry leader (but also 2k per month for what we require).
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Can someone help me make an HTTPS request with an ESP32/How should I do this project?
I'm trying to make an HTTPS request with an ESP32 to this website alpaca.markets. I have the CA cert and I'm using WiFiClientSecure.h. Here's my code, main.cpp is underneath all that.
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Exportable quote database for simulations?
Or you can sign up for a free account at Alpaca and use their historical data API. Then you can get data on many tickers with one function call.
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Stock Trading API Provider
Alpaca https://alpaca.markets
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Best platform for historical intraday API
Check Alpaca Markets
orchest
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Decent low code options for orchestration and building data flows?
You can check out our OSS https://github.com/orchest/orchest
- Build ML workflows with Jupyter notebooks
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Building container images in Kubernetes, how would you approach it?
The code example is part of our ELT/data pipeline tool called Orchest: https://github.com/orchest/orchest/
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Launch HN: Patterns (YC S21) – A much faster way to build and deploy data apps
First want to say congrats to the Patterns team for creating a gorgeous looking tool. Very minimal and approachable. Massive kudos!
Disclaimer: we're building something very similar and I'm curious about a couple of things.
One of the questions our users have asked us often is how to minimize the dependence on "product specific" components/nodes/steps. For example, if you write CI for GitHub Actions you may use a bunch of GitHub Action references.
Looking at the `graph.yml` in some of the examples you shared you use a similar approach (e.g. patterns/openai-completion@v4). That means that whenever you depend on such components your automation/data pipeline becomes more tied to the specific tool (GitHub Actions/Patterns), effectively locking in users.
How are you helping users feel comfortable with that problem (I don't want to invest in something that's not portable)? It's something we've struggled with ourselves as we're expanding the "out of the box" capabilities you get.
Furthermore, would have loved to see this as an open source project. But I guess the second best thing to open source is some open source contributions and `dcp` and `common-model` look quite interesting!
For those who are curious, I'm one of the authors of https://github.com/orchest/orchest
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Argo became a graduated CNCF project
Haven't tried it. In its favor, Argo is vendor neutral and is really easy to set up in a local k8s environment like docker for desktop or minikube. If you already use k8s for configuration, service discovery, secret management, etc, it's dead simple to set up and use (avoiding configuration having to learn a whole new workflow configuration language in addition to k8s). The big downside is that it doesn't have a visual DAG editor (although that might be a positive for engineers having to fix workflows written by non-programmers), but the relatively bare-metal nature of Argo means that it's fairly easy to use it as an underlying engine for a more opinionated or lower-code framework (orchest is a notable one out now).
- Ideas for infrastructure and tooling to use for frequent model retraining?
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Looking for a mentor in MLOps. I am a lead developer.
If you’d like to try something for you data workflows that’s vendor agnostic (k8s based) and open source you can check out our project: https://github.com/orchest/orchest
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Is there a good way to trigger data pipelines by event instead of cron?
You can find it here: https://github.com/orchest/orchest Convenience install script: https://github.com/orchest/orchest#installation
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How do you deal with parallelising parts of an ML pipeline especially on Python?
We automatically provide container level parallelism in Orchest: https://github.com/orchest/orchest
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Launch HN: Sematic (YC S22) – Open-source framework to build ML pipelines faster
For people in this thread interested in what this tool is an alternative to: Airflow, Luigi, Kubeflow, Kedro, Flyte, Metaflow, Sagemaker Pipelines, GCP Vertex Workbench, Azure Data Factory, Azure ML, Dagster, DVC, ClearML, Prefect, Pachyderm, and Orchest.
Disclaimer: author of Orchest https://github.com/orchest/orchest
What are some alternatives?
yfinance - Download market data from Yahoo! Finance's API
docker-airflow - Docker Apache Airflow
ccxt - A JavaScript / TypeScript / Python / C# / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges
hookdeck-cli - Receive events (e.g. webhooks) in your development environment
OpenBBTerminal - Investment Research for Everyone, Everywhere.
ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
finnhub-python - Finnhub Python API Client. Finnhub API provides institutional-grade financial data to investors, fintech startups and investment firms. We support real-time stock price, global fundamentals, global ETFs holdings and alternative data. https://finnhub.io/docs/api
n8n - Free and source-available fair-code licensed workflow automation tool. Easily automate tasks across different services.
binance-official-api-docs - Official Documentation for the Binance APIs and Streams
label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format
trading212-pie-sync - 🍰 Python tool to automate Trading212 pies allocations by syncing to another shared pie or external source
Node RED - Low-code programming for event-driven applications