Search Results for "sandbox:/mnt/data/project_plan.pod"

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...

...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. The terminal allows for users to import their own proprietary datasets to use on our econometric menu. In addition, users are allowed to export any type of data to any type of format whether that is raw data in Excel or an image in PNG. This is ideal for finance content creation. Create notebook templates (through papermill) which can be run on different tickers. This level of automation allows to speed up the development of your investment thesis and reduce human error.

A portfolio tracking, analytics, accounting and tax reporting application that respects your privacy

...Cryptocheck also provides a simple profit calculation and history charts mapping your portfolio history. And there is also a server node available! It continuously monitors balances, records history data and sends all the data to your Cryptocheck desktop application. Supported cryptocurrencies: https://sourceforge.net/p/cryptocheck/wiki/Home/#supported-cryptocurrencies For more details about Cryptocheck and how to use it, see wiki: https://sourceforge.net/p/cryptocheck/wiki I am open to add other cryptocurrencies on your request.

...Its intuitive interface makes navigation easy, and all calculations use reliable formulas for precision. The app is fast, lightweight, and works offline, securing your privacy by not storing personal data. Whether budgeting, saving, or shopping smarter, this app is your go-to tool for better financial decisions.

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 QT tasks; 4) efficient implementations of over 13 novel RL-based trading algorithms; 5) systematic evaluation toolkits with 6 axes and 17 measures; 6) different interfaces for interdisciplinary users.

...INVESTOCK program is used to get the historical prices of an Indian share listed in National Stock Exchange( NSE), India between any two selected dates. All the shares listed in National Stock Exchange (NSE), India can be analyzed. Interactive graphs will be displayed for the analyzed data and it can be downloaded in any desired formats. Predict the winning percentage of an equity. 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.

Abu Quantitative Integrated AI Big Data System, K-Line Pattern System, Classic Indicator System, Trend Analysis System, Time Series Dimension System, Statistical Probability System, and Traditional Moving Average System conduct in-depth quantitative analysis of investment varieties, completely crossing the user's complex code quantification stage, more suitable for ordinary people to use, towards the era of vectorization 2.0.

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 ...

Get the information of the Chinese ShangHai & ShenZhen A Quote market, and Forex data, and World Index.

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.

Yummy Yield Super Stock Ticker Picker gathers stock dividend data on about 8000 stocks on the Nyse, Amex, and Nasdaq exchanges, sorts them according to their forward annual dividend yield figures, and presents the user with additional info and charts.

SX watchdog states for Stock Exchange Watchdog. It helps to easillly follow the stock exchange. It's a Python program, able to save data in files and to generate HTML reports over a specific period.

ShareWatch - a client/server utility that keeps you up to date with share prices; uses free data (across multiple exchanges); provides a stock ticker and wxHTML window to display prices; chart downloading; platform independence. (Python/wxPython/SOAP)

A python program to view and track a portfolio of stocks. The eventual intent is to evolve it into a suite of commandline tools to view financial data. Project will eventually include tools for generating amoritization schedules, reviewing employee sto

A multithreaded GNOME-Python application to monitor stock and option prices using data from free web sites. Also tracks a portfolio of selected stocks.

This project aims to provide a user friendly interface to the historical stock data available from Bovespa (Brazil's main stock exchange), enabling users to easily check quotes for specific stocks at a chosen date.