Showing 2 open source projects for "workflow"

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    AI-powered conversation intelligence software

    Unlock call analytics that provide actionable insights with our call tracking software, empowering you to identify what's working and what's not.

    Every customer interaction is vital to your business success and revenue growth. With Jiminny’s AI-powered conversation intelligence software, we take recording, capturing, and meticulous analysis of call recordings to the next level. Unlock call analytics that provide actionable insights with our call tracking software, empowering you to identify what's working and what's not. Seamlessly support your biggest objectives across the entire business landscape with our innovative call tracking system.
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    Qbot

    Qbot

    AI-powered Quantitative Investment Research Platform

    Qbot is an open source quantitative research and trading platform that provides a full pipeline from data ingestion and strategy development to backtesting, simulation, and (optionally) live trading. It bundles a lightweight GUI client (built with wxPython) and a modular backend so researchers can iterate on strategies, run batch backtests, and validate ideas in a near-real simulated environment that models latency and slippage. The project places special emphasis on AI-driven strategies —...
    Downloads: 5 This Week
    Last Update:
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    Optopsy

    Optopsy

    A nimble options backtesting library for Python

    ...Optopsy is a small simple library that offloads the heavy work of backtesting option strategies, the API is designed to be simple and easy to implement into your regular Panda's data analysis workflow. As such, we just need to call the long_calls() function to have Optopsy generate all combinations of a simple long call strategy for the specified time period and return a DataFrame. Here we also use Panda's round() function afterwards to return statistics within two decimal places.
    Downloads: 0 This Week
    Last Update:
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