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go-finance - Flexible, simple financial markets data in Go.
go-finance is a Go library for retrieving financial data for quantitative analysis.If you find this repo helpful, please give it a star! If you wish to discuss changes to it, please open an issue. This project is not as mature as it could be, and financial projects in Go are in drastic need of some basic helpful dependencies.
financial-data finance fintech quantitative-finance money accounting go-librarycatena - Catena is a distributed database based on a blockchain, accessible using SQL.
Catena is a distributed database based on a blockchain, accessible using SQL. Catena timestamps database transactions (SQL) in a decentralized way between nodes that do not or cannot trust each other, while enforcing modification permissions ('grants') that were agreed upon earlier. A Catena blockchain contains SQL transactions that, when executed in order, lead to the agreed-upon state of the database. The transactions are automatically replicated to, validated by, and replayed on participating clients. A Catena database can be connected to by client applications using the PostgreSQL wire protocol (pq).
blockchain sql fintech sqlite distributed-database ledgerIntegrate-Investment-Portfolio - Integrate Investment Portfolio service with your brokerage account
In this developer journey, we will integrate a user's brokerage portfolio (e.g. e*Trade, charles schwab, Fidelity) with IBM's Investment Portfolio service. The integration will use Quovo's Aggregation API to aggregate user's portfolio account and post it to the Investment Portfolio service. The steps to perform the integration will be done using Jupyter Notebook with Python scripts. The IBM Data Science Experience provides a great place to work with notebooks, in addition to other data analytical tools and services. In this journey, we will use IBM Data Science Experience for walking through steps in our notebook. In addition, the steps have been put together to create a web application that performs the integration of user's brokerage portfolio data with Investment Portfolio service. Follow these steps to setup and run this developer journey. The steps are described in detail below.
ibmcode portfolio fintech cloud ibm-investment-portfolioPredictive-Market-Stress-Testing - Code for a Developer Journey that uses the Financial APIs (Investment Portfolio, Predictive Market Scenario and Simulated Instrumented Analytics) on Bluemix
In this developer journey, we will use three Bluemix finance services to create a web application which performs stress test on an investment portfolio. The Investment Portfolio service is used to load the portfolio into the interface. The Predictive Market Scenario service will create a scenario csv file using risk factor and shock magnitude from user inputs. The Simulated Instrument Analytics service uses the scenario csv file with each holding in the portfolio to create a table displaying the current and stressed price of the investment holding. Be sure to load investment portfolio before running the application.
ibmcode investment-portfolio fintech ibm-cloudreal-time-payments - Code for a Developer Journey that uses the Financial APIs on Bluemix
In this code pattern, we will use a Bluemix finance service to create a web application which sends and requests payments. The Real-Time Payments service is used to manage tokens and recipients, and to initiate payments and payment requests. The application presents an online banking experience, starting with getting a user to create an account. A user's sample bank account is created with a checking and savings account. In order for user to start making payments, the user is requested to register an email or phone number as their token for their checking or savings account. After completing this step, the user can send or request payments to another user's account using their token such as phone number or email. All user activities are recorded and can be displayed to the user.
ibmcode payment-service fintech ibmclouddash-docs - :book: The Official Dash Userguide
The Dash Userguide: everything that you need to know to be productive with Dash. The Dash Userguide is hosted online at: https://plot.ly/dash.
dash plotly documentation data-science fintech data-visualizationdash-hello-world - The simplest dash app
This app is a simple example of the capabilities of Dash developed by Plotly and acts as an intro to overall Python framework. Further examples can be found at dash/gallery/. Dash abstracts away all of the technologies and protocols required to build an interactive web-based application and is a simple and effective way to bind a user interface around your Python code.
dash plotly data-science fintech data-visualizationdash-stock-tickers-demo-app - Dash Demo App - Stock Tickers
This is a demo of the Dash interactive Python framework developed by Plotly. Dash abstracts away all of the technologies and protocols required to build an interactive web-based application and is a simple and effective way to bind a user interface around your Python code.
dash plotly data-visualization data-science fintechreact-plotly.js - A plotly.js React component from Plotly 📈
A plotly.js React component from Plotly. The basis of Plotly's React component suite. This is a "dumb" component that doesn't merge its internal state with any updates. This means that if a user interacts with the plot, by zooming or panning for example, any subsequent re-renders will lose this information unless it is captured and upstreamed via the onUpdate callback prop.
react plotly data-visualization d3 charting-library bioinformatics fintech graphing plotting data visualizationSocial Icons
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