fundamental-analysis
Tulip Indicators
fundamental-analysis | Tulip Indicators | |
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23 | 4 | |
57 | 802 | |
- | 0.7% | |
0.0 | 5.2 | |
almost 4 years ago | 3 months ago | |
Python | C | |
- | GNU Lesser General Public License v3.0 only |
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fundamental-analysis
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Digrin dotcom for long-term dividend info? Which sources are best?
Usually, there are platforms like eodhistoricaldata.com, iexcloud.io or financialmodelingprep.com which provide data for a monthly fee. They also have their issues, but if reported, wrong data are usually fixed swiftly.
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How do these platforms for option/stock data work?
Having access to historical and live data is nice. Just use the free tier with financialmodelingprep.com to get an idea what it would be like to work with such data.
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Looking for a way to know when markets will open/hours; alpaca api sandbox mode?
The other one I found was financialmodelingprep.com but their "is-market-open" API looks to return just the general opening/closing hour, holidays, and whether or not the market is open. Like it says the market hours even today is 9:30am-4pm which isn't what I'm looking for.
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What's a good API tool for financial stuff?
Is financialmodelingprep.com legit?
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Ask DS: I have a squad of scrapers. What data can we collect that will serve the public good?
Then using financialmodelingprep.com api, I crossed all the information I could get my hands on from there to merge with the df I had. Things like "Year founded, HQ, number of employees, etc." Trying to see if there was anything interesting within the data. As an example, I used ggplot to show inventory trends over the years for the companies and you could see when the 2008 recession happened there was a significant drop in inventory carried by some companies. (Not all companies carry goods, some only provide services). But it was interesting to have a quick visual made and to compare them to other companies within the same sectors/industries.
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Gather data online, where source is dependent on input
Let me know if you need more help and I will look into https://financialmodelingprep.com. Is this a free or a paid service?
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I need a faster API without a rate limiter
I use Financial Modelling Prep, it works pretty well and has a bunch of cool endpoints. I have the starter plan, costs about $24 a month which is reasonable, you get about 300 requests/min. (https://financialmodelingprep.com).
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Use Rust (instead of C++) to develop some algorithms used in Flutter in a real app used in the *production environment* - Is it mature enough? Will I face troubles? Do you suggest it? Has anyone used it?
Depends on what you are building. Note - you can even use multiple based on specific features. Start with https://twelvedata.com or https://financialmodelingprep.com
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Market data question
quandl has lot of data sources, some are free to use. Check financialmodelingprep too.
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What is your preferred value investing screener DCF/MOS? Free and Paid service?
I'm currently using stockrover.com and https://financialmodelingprep.com for getting DCF/Fair Value and Safety Margins and to Screen stocks according to my strategies.
Tulip Indicators
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Technical Analysis libraries
TA-lib and pandas-ta have already been mentioned, so just for the sake of alternatives, Tulip indicators
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IBKR API doesn't provide technical indicators, is there any alternative?
Broker APIs usually don't provide those. You'll want to generate them using a library. The most popular are TA Library (linked by another commenter), TuliPy, and TA-Lib. All easy to use.
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Here’s the gist of my algorithm. I want to go big with my algorithm and I need some help from you.
I use Tulip Indicators and my codes run on NodeJS and I maintain data on MariaDB. I can of course transform them to any other programming language, if given a chance.
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C Deep
Tulip Indicators - Library of functions for technical analysis of financial data. LGPL-3.0-or-later
What are some alternatives?
Alpaca-API - The Alpaca API is a developer interface for trading operations and market data reception through the Alpaca platform.
Tulip Cell - TulipCell is an Excel add-in providing 100+ technical analysis indicators.
pandas-ta - Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators
btsk - Behavior Tree Starter Kit
rustdesk - An open-source remote desktop, and alternative to TeamViewer.
CNTK - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
FinanceToolkit - Transparent and Efficient Financial Analysis
ANNetGPGPU - A GPU (CUDA) based Artificial Neural Network library
ofxstatement - Tool to convert proprietary bank statement to OFX format, suitable for importing to GnuCash or other personal finance applications.
AI-Toolbox - A C++ framework for MDPs and POMDPs with Python bindings
FundamentalAnalysis - Transparent and Efficient Financial Analysis [Moved to: https://github.com/JerBouma/FinanceToolkit]
frugally-deep - Header-only library for using Keras (TensorFlow) models in C++.