Search Results for "sandbox:/mnt/data/project_plan.pod" - Page 2
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Showing 72 open source projects for "sandbox:/mnt/data/project_plan.pod"
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Securden Privileged Account ManagerDiscover and manage administrator, service, and web app passwords, keys, and identities. Automate management with approval workflows. Centrally control, audit, monitor, and record all access to critical IT assets.
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Network Management Software and Tools for Businesses and Organizations | Auvik NetworksReduce IT headaches and save time with a proven solution for automated network discovery, documentation, and performance monitoring. Choose Auvik because you'll see value in minutes, and stay with us to improve your IT for years to come.
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AutoTrader
A Python-based development platform for automated trading systems
AutoTrader is a Python-based platform—now archived—designed to facilitate the full lifecycle of automated trading systems. It provides tools for backtesting, strategy optimization, visualization, and live trading integration. A feature-rich trading simulator, supporting backtesting and paper trading. The 'virtual broker' allows you to test your strategies in a risk-free, simulated environment before going live. Capable of simulating multiple order types, stop-losse,s and take-profits,... -
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Kalshi-Quant-TeleBot
Kalshi Advanced Quantitative Trading Bot is an enterprise-grade
...Built with cutting-edge quantitative algorithms and professional risk management, it provides institutional-quality trading capabilities with user-friendly control The Kalshi Advanced Quantitative Trading Bot is a professional-grade automated trading system designed specifically for event-based markets on the Kalshi platform. This bot leverages advanced quantitative strategies, machine learning techniques, and real-time data analysis to identify profitable trading opportunities while maintaining robust risk management protocols. Built with a modular architecture, the system combines Python-based trading algorithms with a JavaScript Telegram bot interface for dynamic monitoring and interaction. The bot is designed to operate continuously, making data-driven decisions based on news sentiment analysis, statistical arbitrage opportunities -
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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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Cryptocheck
Monitors balances of your cryptocurrency addresses
...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. -
The AI-powered unified PSA-RMM platform for modern MSPs.SuperOps.ai is the only PSA-RMM platform powered by intelligent automation and thoughtfully crafted for the new-age MSP. The platform also helps MSPs manage their projects, clients, and IT documents from a single place.
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Money Math
Smart financial calculator for savings, discounts and payments
...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. -
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CostPal
CostPal is your personal finance manager
...It's purpose is to act as a scratchpad, not a standalone application for managing personal finance - for that you have CostPal. Currently only Dropbox is supported as a cloud storage used for data exchange. -
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TradingGym
Trading backtesting environment for training reinforcement learning
TradingGym is a toolkit (in Python) for creating trading and backtesting environments, especially for reinforcement learning agents, but also for simpler rule-based algorithms. It follows a design inspired by OpenAI Gym, offering various environments, data formats (tick data and OHLC), and tools to simulate trading with costs, position limits, observation windows etc. Licensed under MIT. This training environment was originally designed for tickdata, but also supports OHLC data format. WIP. The list contains the feature columns to use in the trading status. -
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AnyTrading
The most simple, flexible, and comprehensive OpenAI Gym trading
gym-anytrading is an OpenAI Gym-compatible environment designed for developing and testing reinforcement learning algorithms on trading strategies. It simulates trading environments for financial markets, including stocks and forex. -
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Robin-Stocks API Library
This is a library to use with Robinhood Financial App
This is a library to use with Robinhood Financial App. It currently supports trading crypto-currencies, options, and stocks. In addition, it can be used to get real-time ticker information, assess the performance of your portfolio, and can also get tax documents, total dividends paid, and more. The code is simple to use, easy to understand, and easy to modify. With this library, you can view information on stocks, options, and cryptocurrencies in real-time, create your own robo-investor or... -
Run applications fast and securely in a fully managed environmentRun frontend and backend services, batch jobs, deploy websites and applications, and queue processing workloads without the need to manage infrastructure.
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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 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. -
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Haircut_EQ
Fetches the historical Haircut data (%) of Equities and Gold Bonds
...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 date. It estimates the real worth of a stock. Enter the Date in the format: dd-mm-yyyy. It lists the haircut value (%) and the price of the share on the selected date. Active internet connection is required. If date falls on holiday, no results will be displayed. ... -
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CapitalGainsCalc
Converts simple lists of lots and sales into a TXF file
US Tax Forms (1040 Schedule D and 8949 supplemental forms) require that every capital gains sale is listed by line, even if no cost basis or even a 1099-B has been provided to the IRS. Entering this data into tax software like TurboTax is tedious and error prone. Some institutions provide limited export capabilities such as CSV or excel export but this is not easy to translate into tax preparation software. These python scripts convert two simple to generate input files BuyLots.csv and Sales.csv into a .TXF file that can be imported into tax prep software and a second RemainingLots.csv that can be used for next year. ... -
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Arrear_Pension_Calculator
Simple app for calculating arrear pension amount of a given period.
A simple Arrear Pension Calculator app written in python with GUI specifically Govt. employees (Central & State). This application calculates arrear (Due - Drawn) / overdrawn / recovery of pension between any given periods. This app is not associated with the Govt. This app is for informational purpose only. This project is open source under GNU public license v3.0 -
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INVESTOCK - Analyze Indian shares
Back test, analyze, rate of return of Indian shares for 20+ years.
...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. -
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Zipline
Zipline, a Pythonic algorithmic trading library
...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 package. For a development installation (used to develop Zipline itself), create and activate a virtualenv, then run the etc/dev-install script. Please note that Zipline is not a community-led project. Zipline is maintained by the Quantopian engineering team, and we are quite small and often busy. -
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AlphaPy
Python AutoML for Trading Systems and Sports Betting
AlphaPy is a Python-based AutoML framework tailored for trading systems and sports betting applications. Built on popular libraries like scikit-learn and pandas, it enables data scientists and speculators to craft predictive models, ensemble strategies, and automated forecasting systems with minimal setup. Run machine learning models using scikit-learn, Keras, xgboost, LightGBM, and CatBoost. Generate blended or stacked ensembles. Create models for analyzing the markets with MarketFlow. Develop trading systems and analyze portfolios using MarketFlow and Quantopian's pyfolio. -
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abu
Abu quantitative trading system (stocks, options, futures, bitcoin)
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. -
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pyspread
Python spreadsheet application
Pyspread is a non-traditional spreadsheet application that is based on and written in the programming language Python. The goal of pyspread is to be the most pythonic spreadsheet. Pyspread expects Python expressions in its grid cells, which makes a spreadsheet specific language obsolete. Each cell returns a Python object that can be accessed from other cells. These objects can represent anything including lists or matrices. Dependencies + Python (>=2.7, <3.0) + numpy... -
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iTelliHashExcel
Cryptographic Hashing Application for Excel Files
iTelliHashExcel is a cryptographic “one-way” hashing application designed to securely protect sensitive or private information from disclosure. Proper use of this program allows organizations, businesses, and individuals (i.e., the data owners) to share complete/intact datasets containing sensitive data with others without actually disclosing the sensitive or private information. Additionally, if such datasets are subsequently modified or enhanced through value-added services or products provided by other organizations or individuals and then returned, the data owner retains the ability to “re-map” the hashed sensitive data values back to their original values. -
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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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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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LIstFOrmatCONverter
A tool to convert an exported text file from one format to another.
Sometimes an upgraded application changes data formats which can break compatibility with previous versions. If import/export text files are of the following format: "descript1","descript2","descript3" "data1","data2","data3" "data1","data2","data3" then this program can rearrange the data of large exported files in order to be imported into another version or application with little effort. -
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Open Exchange (OpEx)
The open source Algorithmic Trading System
OpEx is an application suite that includes the main building blocks of commercial electronic trading systems. All OpEx applications run on distributed system architectures. -
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Accounting program for small business and education. Currently uses the Qt GUI library and MySql data base backend.
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Effacor
Protect sensitive data that has been deleted from recovery.
..."Blue-Pencil" protects sensitive data by "sanitizing" it - writing over it using special patterns designed to make data unrecoverable by traditional means before deletion thus keeping the data safe from prying eyes.
