Related Products
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About
AI-Quant Studio is a SaaS platform designed to revolutionize trading strategy backtesting by enabling users (primarily non-coding retail traders and "prosumers") to define, refine, and test strategies using a conversational AI interface based on Natural Language Processing (NLP).
Problem: Traditional backtesting requires significant programming skills (Python, Pine Script, MQL) or is limited to simplistic visual tools, creating a high barrier to entry for systematic trading.
Solution: Our platform uses advanced Large Language Models (LLMs) via a chat interface to translate natural language strategy descriptions into a structured JSON format, which is then executed by our backtesting engine. This drastically speeds up the idea-to-test cycle and democratizes systematic trading.
Target Market: Initially focusing on intermediate-to-advanced retail traders in Forex, Crypto, and Equities who understand trading concepts but lack the time or expertise for coding,
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About
Quantshare is a desktop application that allows traders to monitor and analyze the market. It is not only a stock trading software. It can be used by Forex, Futures, Options and ETFs traders. With QuantShare trading software, you have access to trading items shared by our members. This includes data downloaders, watchlists, trading systems, and custom drawing tools. QuantShare is a trading software with unlimited possibilities in designing and backtesting trading systems. The True Portfolio Backtester is one of the more advanced and fastest in the market. While most trading software programs offer a database that can store quotes data, QuantShare allows you to create any number of historical and intraday databases. You can store any data in these databases (Call-Put ratios, News, Dividend & Split data, Short Selling data, Fundamental data, Insider data) , and use this data in charting, analysis, and backtesting.
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About
python-sql is a library to write SQL queries in a pythonic way. Simple selects, select with where condition. Select with join or select with multiple joins. Select with group_by and select with output name. Select with order_by, or select with sub-select. Select on other schema and insert query with default values. Insert query with values, and insert query with query. Update query with values. Update query with where condition. Update query with from the list. Delete query with where condition, and delete query with sub-query. Provides limit style, qmark style, and numeric style.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
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Audience
AI-Quant Studio is designed for traders of all levels who want to streamline their backtesting process, refine their strategies faster, and gain valuable insights without the need for coding or technical expertise
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Audience
Anyone searching for an unique and advanced trading software
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Audience
Developers searching for a solution offering a library to write SQL queries
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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API
Offers API
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Screenshots and VideosNo images available
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Reviews/
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationAI-Quant Studio
aiquantstudio.com
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Company InformationQuantShare
www.quantshare.com
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Company InformationPython Software Foundation
United States
pypi.org/project/python-sql/
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Categories |
Categories |
Categories |
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Integrations
Domino Enterprise MLOps Platform
Python
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Integrations
Domino Enterprise MLOps Platform
Python
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