Search Results for "algorithmic trading python" - Page 3
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Showing 93 open source projects for "algorithmic trading python"
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trading-oanda
Python scripts for trading on Oanda
Python scripts for trading on Oanda -
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Coach
Enables easy experimentation with state of the art algorithms
Coach is a python framework that models the interaction between an agent and an environment in a modular way. With Coach, it is possible to model an agent by combining various building blocks, and training the agent on multiple environments. The available environments allow testing the agent in different fields such as robotics, autonomous driving, games and more. It exposes a set of easy-to-use APIs for experimenting with new RL algorithms and allows simple integration of new environments... -
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pyGear
Precise gear geometry generator for spur and helical gears
A python gear generator that serves as CAE/CAD-preprocessor for involute gears based on pythonOCC. It allows for the computation of dynamic properties and the creation of exact geometries from a minimal input set. PyGear can simulate the tool geometry and kinematics of standard gear hobbing tools to generate precise flank, tooth root and tip geometries. Disclosure: the software is open-source and free to use thanks to support received from http://smithbot.com, the easy-to-use AI crypto... -
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Skater
Python library for model interpretation/explanations
Skater is a unified framework to enable Model Interpretation for all forms of the model to help one build an Interpretable machine learning system often needed for real-world use-cases(** we are actively working towards to enabling faithful interpretability for all forms models). It is an open-source python library designed to demystify the learned structures of a black box model both globally(inference on the basis of a complete data set) and locally(inference about an individual prediction... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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fooltrader
Quant framework for stock
Build a standard data schema, and then implement various connectors to import systems you are familiar with for analysis. fooltrader is a quantitative analysis trading system designed using big data technology, including data capture, cleaning, structuring, calculation, display, backtesting and trading. Its goal is to provide a unified framework for the whole market (stock, futures, bonds, foreign exchange, digital currency, macroeconomics, etc.) for research, backtesting, forecasting... -
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PyAlgoTrade
Python Algorithmic Trading Library
PyAlgoTrade is a Python library for backtesting stock trading strategies. -
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Various tools for automating some trading operations on the most popular cryptocurrency exchanges.
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Charting tools, backtesting tools, and data visualization tools for the most popular cryptocurrencies.
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... debts. There is no central administrative authority to decide who deserves to be trusted and who does not. Because of this, CMB can scale-up very well, so that local communities can be seamlessly aggregated into larger ones. Another way of seeing CMB is as a partnership of independent Local Exchange Trading Systems, having a common marketplace for exchanging one LETS-currency for another (via circular trade).
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A quantitative finance C++ library for modeling, pricing, trading, and risk management in real-life. A cross-platform free/open-source tool for derivatives and financial engineering.
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LEAN
Lean algorithmic trading engine by QuantConnect
Automated accounting for splits, dividends, and corporate events like delistings and mergers. Avoid selection bias with dynamically generated assets. Create and select asset universes on proprietary data and indicators. Automatically track portfolio performance, profit and loss, and holdings across multiple asset classes and margin models in the same strategy. Trigger regular functions to occur at desired times, during market hours, on certain days of the week, or at specific times of day.... -
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Elements of Programming Interviews
Method stubs and test cases for Elements of Programming Interviews
This repository contains method stubs and tests of the problems from Elements Of Programming Interviews by Adnan Aziz, Tsung-Hsien Lee, and Amit Prakash. This book is also available in Python and C++. This repository contains solutions to problems from the book "Elements of Programming Interviews," focusing on interview preparation and algorithm practice. -
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PowerGate
A Powerful Algorithmic Trading Gateway
A Powerful Algorithmic Trading Gateway -
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pyStockTrader
python base stock trading simulator
Python base stock trading simulator. This program is for the Japanese stock market. But you can use this program in other markets -
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... treat Python code using this API as regular FXTS session. The API has been developed in time when automated trading was not available to retail traders or access to API was too "expensive" (deposit on account bigger than $100k). Today FXCM API is open to all FXCM traders and more can be found at: https://github.com/FXCMAPI https://www.fxcm.com/trading-services/api-trading
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Tushare
TuShare is a utility for crawling historical data of China stocks
Tushare is a Python library that provides access to a wide range of financial data focused on the Chinese stock market. It allows users to retrieve real-time and historical market data, financial reports, index data, and macroeconomic indicators. Tushare is widely used in quantitative trading, data analysis, and academic research. It supports both free and premium data tiers via Tushare Pro, which requires an API token. -
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AlgVar
Algorithmic Variations
An educational project aimed at illustrating programming language concepts and implementation techniques in different programming languages. -
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ExSTraCS
Extended Supervised Tracking and Classifying System
... to address problems in epidemiological data mining to identify complex patterns relating predictive attributes in noisy datasets to disease phenotypes of interest. ExSTraCS combines a number of recent advancements into a single algorithmic platform. It can flexibly handle (1) discrete or continuous attributes, (2) missing data, (3) balanced or imbalanced datasets, and (4) binary or many classes. A complete users guide for ExSTraCS is included. Coded in Python 2.7. -
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EducationalLCS
eLCS - Educational Learning Classifier System
... algorithm in order to illustrate how work, how they are coded, and what impact they have on how an LCS algorithm runs. The Demo 6 version of eLCS is most similar to the UCS algorithm. Each version only includes the minimum code needed to perform the functions they were designed for. This way users can start by examining the simplest version of the code and progress forward. This code is intended to be used as an educational tool, or as algorithmic code building blocks. -
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CreditAnalytics
Full featured financial fixed-income, credit, and bond analytics/risk
CreditAnalytics is a full-featured financial fixed income credit analytics, trading, and risk library, developed with a special focus towards the needs of the credit products community. In particular, CreditAnalytics provides analytics to value liquid products (CDS, CDX, CDO, and bonds of all types and variants) and semi-liquid/custom products (single credit forwards and options, and portfolio credit forwards, options, tranches, and other structures). -
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QuantComponents
Free Java components for Quantitative Finance and Algorithmic Trading
An open-source framework for financial time-series analysis and algorithmic trading, based on Java and OSGi, with an Eclipse front-end. * Highly modular: usable as plain java API, OSGi components, or integrated into Eclipse * Standalone or client-server architecture, depending on performance and reliability needs * Integrated with Interactive Brokers through IB Java API * Generic broker API, it can easily be extended to work with other brokers * It works with historical and/or realtime... -
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Hierarchical cluster engine HCE
Hierarchical Cluster Engine project
... support powerful full-text search engine and data storage, provide transactions-less and transactional requests processing, support flexible run-time changes of cluster infrastructure, have many languages bindings for client-side integration APIs in one product build on C++ language... Also, HCE includes the highlighter application. This is utility to get fast parallel multi-algorithmic textual patterns highlighting. It provides cli UI, works as filter console tool and uses json format of prot -
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Trading system written in Python including Quotes Management, Historical and live data, Import/Export data, Charting, Candlestick, Technical analysis, automated alerts, portfolio management, risk management, currency exchange, and much much more ...
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FOSSMMO
To create an open source and openly developed mmorpg
FOSSMMO (release name tbd) is a project aimed at two things. The first is to create an open sourced MMORPG with compelling and fun gameplay requiring modest system specs. The second is to develop in an open and well documented way to help others learn the trade of game programming. FOSSMMO will be developed using python. While python is not a common language for game development I'm a fan. Also I recently watched http://pyvideo.org/video/381/pycon-2011--algorithmic-generation-of-opengl-geom... -
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GalGen Trader
A 2D Elite-style game written in Python 3.2.
GalGen Trader is (or at least will be) a 2D space trading and exploration game set in a complex and persistent procedurally-generated universe. Dwarf Fortress in space, if you will. One of its most important features is the ability for extension modules to be added that can change just about any feature of the program; from new weapons and devices, to adventure modules that add new 'mini-plots' (similar to the Galactic Adventures DLC for Spore), to modules that replace parts of the core game...
