open source algorithmic trading

the ability to persist to disk, as well as multi-key value queries. Below is an official document for a description of the chronicle map from the Java perspective: from java Perspective, Chroniclemap is a concurrentmap Implementation which stores the entries off-heap, serializing/deserializing key and Value objects To/from off-heap memory transparently. Chronicle Map Supportskey and ValuE Objects caching/reusing for making zero allocations (garbage) on queries. Flyweight values for eliminating

Pack, cut/string/insert title and other basic operations, a few lines will be done! 　　12. Other Emit: It's fun to append the ability to use Redis for your functions. Zipline:zipline is a very pythonic library of trading algorithms. Raspberry.io:Raspberry.io is a community implementation of Raspberry Pi. Just released, brought together a variety of creative ideas, interested words immediately check out toss it. Newsblur:google re

Android has been hot and gaining popularity since its inception. It is different from the previous mobile phone and mobile terminal operating system, its unique open-source, system-low-cost and provide the third party with a large degree of freedom of innovation space, and not subject to the advantages of hardware constraints, access to the majority of open commu

Cam block chain is recently seen on the GitHub open source project, because it is. NET written, more familiar, easy to see the source code to understand the operation of the block chain principle. The following is a download link on the github: Total Items: Https://github.com/camchain Contains the various subprojects developed by the project, inside the Cam-ser

Microsoft launched the build 2018 conference for a. NET developer of Open source, cross-platform machine learning Framework ml.net. ML. NET will allow. NET developers to develop their own models and integrate custom ML into their applications without prior knowledge of developing or tuning machine learning models. Models developed using common machine learning languages such as R and Python, and integrating

functions, as well as tool functions (such as trading calendar functions), almost covering all the quantitative finance topics, second, the code is strong, fully utilize the characteristics of OOP, It is also stored as a static object in Excel, which facilitates operations at the Excel level. (this point is very similar to the idea of designing Excel Pricer by the quant group of foreign Big Investment Bank), third, the exception processing is very pe

There's a sudden 300 stars on GitHub today. Worked on data-related work for many years. Have a deep understanding of various problems in data development. Data processing work mainly include: Crawler, ETL, machine learning. The development process is the process of building the pipeline pipeline of data processing. The various modules are spliced together. The summary steps are: Get data, convert, merge, store, send. There are many differences in data development and business system development