Alpaca-API
Apache Pulsar
Alpaca-API | Apache Pulsar | |
---|---|---|
81 | 30 | |
137 | 13,758 | |
0.0% | 0.7% | |
0.0 | 9.8 | |
over 3 years ago | 5 days ago | |
Java | ||
- | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
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
Apache Pulsar
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Choosing Between a Streaming Database and a Stream Processing Framework in Python
Stream-processing platforms such as Apache Kafka, Apache Pulsar, or Redpanda are specifically engineered to foster event-driven communication in a distributed system and they can be a great choice for developing loosely coupled applications. Stream processing platforms analyze data in motion, offering near-zero latency advantages. For example, consider an alert system for monitoring factory equipment. If a machine's temperature exceeds a certain threshold, a streaming platform can instantly trigger an alert and engineers do timely maintenance.
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Apache Pulsar VS quix-streams - a user suggested alternative
2 projects | 7 Dec 2023
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Help finding open source Terraform configurations that are not educational projects or developer tools
Edit: Here's a good example of what I'm looking for: https://github.com/apache/pulsar. It is a full application that happens to be deployed (or deployable) with Terraform, and the configuration files are available.
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Kafka Is Dead, Long Live Kafka
I am the founder of RisingWave (http://risingwave.com/), an open-source SQL streaming database. I am happy to see the launch of Warpstream! I just reviewed the project and here's my personal opinion:
* Apache Kafka is undoubtedly the leading product in the streaming platform space. It offers a simple yet effective API that has become the golden standard. All streaming/messaging vendors need to adhere to Kafka protocol.
* The original Kafka only used local storage to store data, which can be extremely expensive if the data volume is large. That's why many people are advocating for the development of Kafka Tiered Storage (KIP-405: https://cwiki.apache.org/confluence/display/KAFKA/KIP-405%3A...). To my best knowledge, there are at least five vendors selling Kafka or Kafka-compatible products with tiered storage support:
-- Confluent, which builds Kora, the 10X Kafka engine: https://www.confluent.io/10x-apache-kafka/;
-- Aiven, the open-source tiered storage Kafka (source code: https://github.com/Aiven-Open/tiered-storage-for-apache-kafk...
-- Redpanda Data, which cuts your TCO by 6X (https://redpanda.com/platform-tco);
-- DataStax, which commercializes Apache Pulsar (https://pulsar.apache.org/);
-- StreamNative, which commercializes Apache Pulsar (https://pulsar.apache.org/).
* WarpStream claims to be "built directly on top of S3," which I believe is a very aggressive approach that has the potential to drastically reduce costs, even compared to tiered storage. The potential tradeoff is system performance, especially in terms of latency. As new technology, WarpStream brings novelty, and definitely it also needs to convince users that the service is robust and reliable.
* BYOC (Bring Your Own Cloud) is becoming the default option. Most of the vendors listed above offer BYOC, where data is stored in customers' cloud accounts, addressing concerns about data privacy and security.
I believe WarpStream is new technology to this market, and and would encourage the team to publish some detailed numbers to confirm its performance and efficiency!
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Analyzing Real-Time Movie Reviews With Redpanda and Memgraph
In recent years, it has become apparent that almost no production system is complete without real-time data. This can also be observed through the rise of streaming platforms such as Apache Kafka, Apache Pulsar, Redpanda, and RabbitMQ.
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There are about Pulsar 10k users in Slack, but about 70 in this subreddit.
It's colored black on the refreshed Apache Pulsar site. https://pulsar.apache.org/
- Is anyone frustrated with anything about Prometheus?
- Kafka alternatives
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Is Redpanda going to replace Apache Kafka?
So many tools out there, its just which one do you like, I guess. I like Kafka. Works for our environment and we have a few clusters. People have brought up Cribl to replace our kafka (havent really looked into Cribl and we also run NiFi). I have even heard https://pulsar.apache.org/ , which seems to be almost another flavor of Kafka.
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Querying microservices in real-time with materialized views
RisingWave is an open-source streaming database that has built-in fully-managed CDC source connectors for various databases, also it can collect data from other sources such Kafka, Pulsar, Kinesis, or Redpanda and it allows you to query real-time streams using SQL. You can get a materialized view that is always up-to-date.
What are some alternatives?
yfinance - Download market data from Yahoo! Finance's API
redpanda - Redpanda is a streaming data platform for developers. Kafka API compatible. 10x faster. No ZooKeeper. No JVM!
ccxt - A JavaScript / TypeScript / Python / C# / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges
Apache ActiveMQ - Mirror of Apache ActiveMQ
OpenBBTerminal - Investment Research for Everyone, Everywhere.
Apache ActiveMQ Artemis - Mirror of Apache ActiveMQ Artemis
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
Apache Camel - Apache Camel is an open source integration framework that empowers you to quickly and easily integrate various systems consuming or producing data.
binance-official-api-docs - Official Documentation for the Binance APIs and Streams
Apache RocketMQ - Apache RocketMQ is a cloud native messaging and streaming platform, making it simple to build event-driven applications.
trading212-pie-sync - 🍰 Python tool to automate Trading212 pies allocations by syncing to another shared pie or external source
RocketMQ