Pine Script

Pine Script

TradingView
Ruby

Ruby

Ruby Language
+

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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,

About

Pine Script® is TradingView’s programming language. It allows traders to create their own trading tools and run them on our servers. We designed Pine Script® as a lightweight, yet powerful, language for developing indicators and strategies that you can then backtest. Most of TradingView’s built-in indicators are written in Pine Script®, and our thriving community of Pine Script® programmers has published more than 100,000 community scripts. It’s our explicit goal to keep Pine Script® accessible and easy to understand for the broadest possible audience. Pine Script® is cloud-based and therefore different from client-side programming languages. While we likely won’t develop Pine Script® into a full-fledged language, we do constantly improve it and are always happy to consider requests for new features. Because each script uses computational resources in the cloud, we must impose limits in order to share these resources fairly among our users.

About

Wondering why Ruby is so popular? Its fans call it a beautiful, artful language. And yet, they say it’s handy and practical. Since its public release in 1995, Ruby has drawn devoted coders worldwide. In 2006, Ruby achieved mass acceptance. With active user groups formed in the world’s major cities and Ruby-related conferences filled to capacity. Ruby-Talk, the primary mailing list for discussion of the Ruby language, climbed to an average of 200 messages per day in 2006. It has dropped in recent years as the size of the community pushed discussion from one central list into many smaller groups. Ruby is ranked among the top 10 on most of the indices that measure the growth and popularity of programming languages worldwide (such as the TIOBE index). Much of the growth is attributed to the popularity of software written in Ruby, particularly the Ruby on Rails web framework.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

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

Audience

Traders in search of a tool to create their own trading tools and run them

Audience

Open-source programming language solution for DevOps teams

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

No images available

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

AI-Quant Studio
aiquantstudio.com

Company Information

TradingView
Founded: 2011
United States
www.tradingview.com/pine-script-docs/en/v5/Introduction.html

Company Information

Ruby Language
Founded: 1995
www.ruby-lang.org/en/

Alternatives

Alternatives

Alternatives

Lua

Lua

Lua Language
XSharp (X#)

XSharp (X#)

XSharp

Categories

Categories

Categories

Integrations

Ably
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DeepCover
DeepSeek R1
DeepSource
Extism
GraalVM
Handinger
Helix Editor
New Relic
Nomic Embed
Qwen2.5-Coder
Rainforest
Resend
Ruby Grape
Semaphore
SonarQube for IDE
Textastic
UndercoverCI

Integrations

Ably
Apache PredictionIO
Cacher
DeepCover
DeepSeek R1
DeepSource
Extism
GraalVM
Handinger
Helix Editor
New Relic
Nomic Embed
Qwen2.5-Coder
Rainforest
Resend
Ruby Grape
Semaphore
SonarQube for IDE
Textastic
UndercoverCI

Integrations

Ably
Apache PredictionIO
Cacher
DeepCover
DeepSeek R1
DeepSource
Extism
GraalVM
Handinger
Helix Editor
New Relic
Nomic Embed
Qwen2.5-Coder
Rainforest
Resend
Ruby Grape
Semaphore
SonarQube for IDE
Textastic
UndercoverCI
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