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
ZenScript originated from MineTweaker where a simple programming language is needed to allow users without programming knowledge to be able to execute simple commands by following the tutorials for it. Originally MineTweaker had a simple one-line-at-a-time parsed scripting system, but it quickly became clear that it wasn't flexible enough, so a simple parsed language was created. This parsed language worked quite well but was very inefficient as each value was wrapped into its own object. ZenScript allows mixed typed and typeless behavior. You don't need to define types anywhere, the compile will infer them where possible and exhibit typeless behavior when the type is effectively unknown. In nearly all the cases, the type is perfectly known and execution runs at native Java speed. Since there are types, they can be documented and enforced.
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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
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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
Any user interested in a scripting system that can be used without any programming knowledge
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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
Free
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 InformationCraftTweaker
github.com/CraftTweaker/ZenScript
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Company InformationPython Software Foundation
United States
pypi.org/project/python-sql/
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Categories |
Categories |
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Integrations
CodePal
Domino Enterprise MLOps Platform
Java
Python
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