Search Results for "google-visualization-python"
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Showing 38 open source projects for "google-visualization-python"
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OpenBB Terminal
Investment research for everyone, anywhere
Fully written in python which is one of the most used programming languages due to its simplified syntax and shallow learning curve. It is the first time in history that users, regardless of their background, can so easily add features to an investment research platform. The MIT Open Source license allows any user to fork the project to either add features to the broader community or create their own customized terminal version. -
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Qlib
Qlib is an AI-oriented quantitative investment platform
Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib. With Qlib, users can easily try their ideas to create better Quant investment strategies. At the module level, Qlib is a platform that consists of... -
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rotki
A portfolio tracking, analytics, accounting and tax reporting app
A portfolio tracking, analytics, accounting and tax reporting application that respects your privacy -
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QuickFIX is the worlds first Open Source C++ FIX (Financial Information eXchange) engine, helping financial institutions easily integrate with each other. The SVN repository is now locked. Latest code is hosted at github. https://github.com/quickfix/quickfix
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ManagerSheet
A one-page investment portfolio report
ManagerSheet is a one-page investment portfolio report, that analyses and presents an investment portfolio with respect to: - Performance - Investment style - Risk More information on the report concept and instructions on how to create one's own portfolio reports can be found at the ManagerSheet Web Site under the "Documentation" section. Please note that the project is in alpha stage. -
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Loss
The Brutalist Market Analyzer
...Instead of a monolithic architecture, LOSS uses a Split-Stack approach: A Vercel Relay handles raw data fetching, bypassing CORS and rate limits. A Render Python Backend acts as the "Brain," executing heavy machine learning and NLP tasks. Try the live application in action here: https://loss-by-vignesh.vercel.app before downloading the source code Visit For More Details : https://github.com/Vignesh-72/Loss -
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Slideshow Crypto Ticker
Real Time Slideshow Crypto Price Ticker For Raspberry Pi LCD Screens
Open source / 100% FREE real time slideshow crypto price ticker for RaspberryPi device LCD screens, including 24 hour volume. Supports running in "slideshow mode", to show all the markets you want. Supports CoinGecko / Binance / Coinbase Pro / Kraken / Kucoin / Bitstamp / Bitfinex / HitBTC / OKex / Gate.io exchange markets (more market support coming in the future). 3.5" LCD Demo: https://www.youtube.com/watch?v=dXAhs8HXCn4 7" LCD Demo:... -
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pytrade
Python functions for trading
Python functions for trading. Fonctions Python pour le trading. -
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Accounting Software Community Edition
The Free & Popular Akaunting Web Software in Complete Virtual Machine
...Explore all options available on its side menu, before beginning any data entry. Once setup & running, please ensure that a Backup of the system, is taken regularly, to avoid any issues. These are covered in the video. Google Search helps in finding more about Akaunting Software and its extensive documentation. -
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TradeMaster
TradeMaster is an open-source platform for quantitative trading
TradeMaster is a first-of-its-kind, best-in-class open-source platform for quantitative trading (QT) empowered by reinforcement learning (RL), which covers the full pipeline for the design, implementation, evaluation and deployment of RL-based algorithms. TradeMaster is composed of 6 key modules: 1) multi-modality market data of different financial assets at multiple granularities; 2) whole data preprocessing pipeline; 3) a series of high-fidelity data-driven market simulators for mainstream... -
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INVESTOCK - Analyze Indian shares
Back test, analyze, rate of return of Indian shares for 20+ years.
...All the analyzed data can be saved in .CSV file format for further analysis. Maximum Profit & Loss of an equity can be estimated between the selected dates. Designed by Dr. M Kanagasabapathy Coded in Python Project Homepage: https://www.enote.page/ Twitter handle: @nifty_analyst This is the basic version and for advanced options & analyses, please write to me. -
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TA-Lib.git: Technical Analysis Library
Mirror of the TA-Lib project using a Git repository
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. -
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Free Chart Geany
Stock market technical analysis charting application.
...Key features: Compatible with stocks, mutual funds, futures, indices. Major technical analysis indicators. Tab-based graphical user interface. Easy download of quotes from Yahoo Finance or Google Finance. One click screen shots for charts. Spreadsheet-like data manager. Single file local storage. -
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pair-trading-view
Pair Trading View - .NET application for visual analysis of synthetic
Pair Trading View - .NET application for visual analysis of synthetic financial instruments based on statistical models. https://github.com/dv-lebedev/pair-trading-view Look for binaries in "pair-trading-view\PairTradingView.WinFormsApp\bin\Debug" folder. -
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PortOpt
A portfolio-optimizer using Markowitz(1952) mean-variance model
PortOpt [Portfolio Optimizer] is a C++ program (with Python binding) implementing the Markowitz(1952) mean-variance model with agent's linear indifference curves toward risk in order to find the optimal assets portfolio under risk. You have to provide PortOpt (in text files or - if you use the api - using your own code) the variance/covariance matrix of the assets, their average returns and the agent risk preference. -
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Technical indicators in Python
Technical indicators in Python
Technical indicators in Python For now there are: RSI - Relative Strength Index, SMA - Simple Moving Average, WMA - Weighted Moving Average, EMA - Exponential Moving Average, BB - Bollinger Bands, Bollinger Bandwidth, %B, ROC and MA envelopes When I can I will add more. If anyone wishes to contribute with new code or corrections/suggestions, feel free. -
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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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Technical analysis library with indicators like ADX, MACD, RSI, Stochastic and TRIX, plus candlestick pattern recognition. Docs: https://ta-lib.org Available natively in C/C++, Java, Rust and C# with wrappers for python, R and many other ecosystems. MOVED TO GITHUB: https://github.com/TA-Lib/ta-lib . No further support is provided on SourceForge. Release 0.4.0 is very outdated, please check github for the most recent release.
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i-sight is a scientific data visualization / plotting / mesh visualization software that can plot data fields, contours, streamlines (much like TecPlot), and also has a 3D mesh visualizer that can cut a mesh, perform shadow visualization and related stuf
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Frugal is a simple yet powerful personal finance and stock portfolio management application. It provides quick on-line stock quote and currency rate updates and easy to understand graphical and textual views of your financial situation.
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Get the information of the Chinese ShangHai & ShenZhen A Quote market, and Forex data, and World Index.
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A Python script to gather DOW Jones trend data from generationaldynamics.com, and parse the data into a csv file so that it can be easily charted.
