Search Results for "python data analysis"

This is a C library to check the validity of German and Austrian Bank Account Numbers. All currently defined test methods by Deutsche Bundesbank (Dec 2017: 00 to E4) are implemented. Modules for AWK, Perl, PHP, Python, Ruby, C#.net and VB.net are included too. The package includes also an IBAN converter to generate (german) IBANs and BICs from account data. All currently defined IBAN rules by Deutsche Bundesbank are implemented (Dec 2017: 57 rules) and tested against independent solutions.

This project is intended to provide Git access to the code of the original project, TA-Lib, which uses Subversion. It is intended for system integrators wishing to use TA-Lib in their Git-managed project through Git submodules or subtrees. No actual development is being done here; all development happens in the original project.

I've been noticing for a while that the graphs of "growth for the last 10 years" in the mutual fund prospectuses depend a lot on the starting point: if the starting point was high (i.e. after previous growth), the following growth would look poor compared to the competition, and the other way around. So I wrote some simple scripts to try to compensate for this effect.

GeniusTrader aims to be a full featured toolbox for creating stock market trading systems based on Technical-Analysis methods. GeniusTrader implements trading systems defined in terms of: specific entry-exit points, current cash, current positions, trade type and most traditional technical analysis indicators. Market data time-periods range from ticks to years. Backtesting defined trading systems as well as tools to develop and test technical market indicators are provided. ...

REAR or (Realtime Equity Analysis and Reporting) is a tool which employs a Perl front-end engine for capturing real time equity data, then analyzing the raw data using the CPAN-R statistical analysis Engine and generates a detailed user report

The Financial Data Access Library provides an abstraction of market data sources. It verifies data consistency and provides transformation to different time frame e.g. daily to weely. Includes SQL, CSI, ASCII and online data sources such as Yahoo!