florentchandelier/quantandfinancial
Automatically exported from code.google.com/p/quantandfinancial
Discovered public repositories for florentchandelier in the GitHub catalog.
Automatically exported from code.google.com/p/quantandfinancial
Deep Learning Tutorial notes and code. See the wiki for more info.
A RESTful data service for Interactive Brokers that automatically opens and closes positions given only a symbol and a time to exit the position. This makes it suitable for executing trading signals generated by automatic trading algorithms.
This repository contains codes for all of my blog posts since March 11 2015.
A real-time quantitative trading/backtesting platform in C#, supporting IB (full brokerage) and Google Finance (quote only). It adds R support through R.NET.
Collection of algorithms for online portfolio selection
Serif font family designed to complement Source Sans Pro
Sans serif font family for user interface environments
generating quantopian scripts from multiple files in zipline
C# Wrapper and Models for QuantConnect REST API
Algorithm base class users extend to access the QC-Cluster and Tick Data.
Visual Studio plugin utilizing the QuantConnect REST API to launch backtests and display results inside Visual Studio 2010-2014.
Lean Algorithmic Trading Engine by QuantConnect
Monospaced font family for user interface and coding environments
A python module for algorithmic trading and strategy validation
Public repository.
trading f&*#ing size
Find XBRL filings on the SEC's Edgar and extract accounting metrics.
Modular trading models with Interactive Brokers and backtester in Python
A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python
Python API for the Interactive Brokers on-line trading system.
Automation of Interactive Brokers TWS. You can download the latest release here: https://github.com/ib-controller/ib-controller/releases/latest
Third party Interactive Brokers Python API generated from TWS C++ API using SWIG.
Java connector for Metatrader4
Python bindings for the Metatrader 4 trading platform
MT4 -> R interface library
Free and open source full-stack enterprise framework for agile development of secure database-driven web-based applications, written and programmable in Python.
Graphstream core
bt - flexible backtesting for Python
Free as in freedom Skype replacement.
QuantSoftwareToolkit
Topic Modelling for Humans
Python Algorithmic Trading Library
Nitrogen Web Framework for Erlang
from http://incolumitas.com/2013/01/06/googlesearch-a-rapid-python-class-to-get-search-results/
Python PDF Parser
Investment strategies in R
Interfacing R with Metatrader for investment strategy design and management