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Average Ratings 0 Ratings

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ease
features
design
support

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Description

NineThirty serves as an AI-driven stock screener and backtesting tool designed for US equities and ETFs. It allows users to describe a setup in simple terms, automatically generating the filtering logic that incorporates over 40 technical indicators with adjustable parameters. Additionally, it integrates more than 20 fundamental metrics derived from the income statement, cash flow, and balance sheet, as well as news that is filtered based on sentiment and impact. It also accounts for corporate actions like insider trading, allowing for conditions to be combined using AND and OR logic, so that the entire setup can be represented in a single expression for a specific time bar. Users have the flexibility to define custom candle sizes ranging from minutes and beyond, rather than being restricted to set timeframes. After creating the screen, you can backtest it to evaluate its performance, including how frequently it triggered for each stock, the historical win rate, average returns, optimal holding periods, and a trade log detailing maximum favorable and adverse excursions for every instance. This method provides historical insights with the typical limitations of hindsight, rather than serving as a direct trading signal. Furthermore, DrMarket, an AI analyst with multiple agents, is available to respond to inquiries regarding live setups based on first-party computed data, and it meticulously links each statistic back to its original source for transparency. This comprehensive approach ensures that investors have access to thorough and reliable information when making decisions.

Description

Seasonax features award-winning algorithms and an analytical tool that enables users to leverage recurring seasonal trends in their everyday trading activities. By utilizing the Seasonax stock screener, traders can effortlessly pinpoint robust and weak trading signals from a designated start date. To capitalize on seasonality, Seasonax precisely indicates the optimal dates for purchasing and selling specific assets. Begin executing consistent trades by integrating seasonal trends that appear annually on the calendar. Users can discover the ideal moments to buy or sell various stocks, commodities, and currencies through the assistance of our acclaimed algorithms. This approach allows trading choices to be grounded in empirical data rather than emotional impulses. Seasonax provides seasonal trading signals for an extensive range of over 20,000 financial instruments. Choose from this vast selection and ascertain the exact days to enter and exit positions. Additionally, users can validate successful trades and assess the reliability of seasonal patterns, while also gaining insights by exploring the key performance indicators associated with those trends. Ultimately, Seasonax empowers traders to make informed decisions based on historical data and analysis.

API Access

Has API

API Access

Has API

Screenshots View All

No images available

Screenshots View All

Integrations

Bloomberg
C-Track

Integrations

Bloomberg
C-Track

Pricing Details

$19.90/month
Free Trial
Free Version

Pricing Details

$41.66 per month
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Tradomate One

Founded

2025

Website

ninethirty.ai

Vendor Details

Company Name

Seasonax

Country

Switzerland

Website

www.seasonax.com

Product Features

Product Features

Algorithmic Trading

2-Click Trading
Analyst on Demand
Auto Fibs
Auto Trend Lines
Backtesting
Basket Trading
Drawing Tools
Pattern Tools
Stock Screener
Trading From Charts

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