Search Results for "algorithmic trading python" - Page 2
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Showing 74 open source projects for "algorithmic trading python"
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A python library for searching and managing a collection of Vampire: The Eternal Struggle (V:tES) trading cards and for facilitating V:tES deck construction.
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FedLab
A flexible Federated Learning Framework based on PyTorch
A Python-based framework for federated learning simulation, emphasizing modularity, communication efficiency, and algorithmic flexibility. Supports both server- and client-side customization for research and development purposes. -
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BitcoinExchangeFH
Cryptocurrency exchange market data feed handler
... with the corresponding SQl statements. The feed handler acts as a publisher in ZeroMQ. To receive the feed, please follow ZeroMQ instructions to start a subscriber. The application is compatible with version higher or equal to python 3.0. -
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Blankly
Easily build, backtest and deploy your algo in just a few lines
Blankly is a live trading engine, backtest runner and development framework wrapped into one powerful open-source package. Models can be instantly backtested, paper traded, sandbox tested and run live by simply changing a single line. We built blankly for every type of quant including training & running ML models in the same environment, cross-exchange/cross-symbol arbitrage, and even long/short positions on stocks (all with built-in WebSockets). Blankly is the first framework to enable... -
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Haircut_EQ
Fetches the historical Haircut data (%) of Equities and Gold Bonds
Haircut is the amount of margin money deducted while pledging the Equites/ Mutual Funds / Bonds for trading. A haircut value of 13% means that, if a share worth of Rs 100 is pledged for trading, then Rs. 13 will be deducted and Rs. 87 will be given as collateral margin for trading. It is based on previous closing price. This program is used to identify the real value of a share with date. It fetches the historical Haircut data (%) and Price of an equity listed in NSE, India at a selected... -
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Algobot
Cryptocurrency trading bot with a graphical user interface
Cryptocurrency trading bot that allows users to create strategies and then backtest, optimize, simulate, or run live bots using them. Telegram integration has been added to support easier and remote trading. Please note that Algobot requires TA-LIB. You can view instructions on how to download TA-LIB. For Windows users, it's best to download the .whl package for your Python install and pip install it. For Linux and MacOS users, there's excellent documentation available. Create graphs with real... -
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Haircut_MF
Fetches the historical Haircut data (%) of Mutual Funds and Bonds
Haircut is the amount of margin money deducted while pledging the Equites/ Mutual Funds / Bonds for trading. A haircut value of 13% means that, if a share worth of Rs 100 is pledged for trading, then Rs. 13 will be deducted and Rs. 87 will be given as collateral margin for trading. It is based on previous closing price (NAV). This program is used to identify the real value of an equity / share / mutual fund / Bonds / SGB with date. This program fetches the historical Haircut data... -
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PythonicRPI
Graphical Python programming for trading and automation
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gradslam
gradslam is an open source differentiable dense SLAM library
gradslam is an open-source framework providing differentiable building blocks for simultaneous localization and mapping (SLAM) systems. We enable the usage of dense SLAM subsystems from the comfort of PyTorch. The question of “representation” is central in the context of dense simultaneous localization and mapping (SLAM). Newer learning-based approaches have the potential to leverage data or task performance to directly inform the choice of representation. However, learning representations... -
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Zipline
Zipline, a Pythonic algorithmic trading library
Zipline is a Pythonic algorithmic trading library. It is an event-driven system for backtesting. Zipline is currently used in production as the backtesting and live-trading engine powering Quantopian -- a free, community-centered, hosted platform for building and executing trading strategies. Quantopian also offers a fully managed service for professionals that includes Zipline, Alphalens, Pyfolio, FactSet data, and more. Installing Zipline is slightly more involved than the average Python... -
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trading-oanda
Python scripts for trading on Oanda
Python scripts for trading on Oanda -
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abu
Abu quantitative trading system (stocks, options, futures, bitcoin)
..., such as financial time series loss model, deep pattern quality assessment model, long and short pattern combination evaluation model, long pattern stop-loss strategy model, short pattern covering strategy model, big data K-line pattern Historical portfolio fitting model, trading position mentality model, dopamine quantification model, inertial residual resistance support model, long-short swap revenge probability model, strong and weak confrontation model, trend angle change rate model, etc. -
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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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pyfolio
Portfolio and risk analytics in Python
pyfolio is a Python library for performance and risk analysis of financial portfolios developed by Quantopian Inc. It works well with the Zipline open source backtesting library. At the core of pyfolio is a so-called tear sheet that consists of various individual plots that provide a comprehensive image of the performance of a trading algorithm. Here's an example of a simple tear sheet analyzing a strategy. Quantopian also offers a fully managed service for professionals that includes Zipline... -
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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... -
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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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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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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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... 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.
