BAYONNE, N.J. — March 3, 2026
Executive Summary
DeepTrading.AI has announced a major product release introducing several new features designed to expand the platform’s capabilities for retail investors and traders. The update adds rule-based Trading Strategies, built-in Backtesting with Buy & Hold comparisons, AI-powered Market Analysis briefs, read-only broker portfolio connections, predicted Gain/Loss scanning columns, Daily strategy-action email notifications, CSV export functionality, and a REST API add-on for programmatic access.
According to the company, the release extends the platform beyond predictions and charts into a workflow designed to help users explore trading strategies, review historical scenarios through backtesting, and access market analysis insights. DeepTrading.ai covers a curated list of approximately 250 stocks. The update also introduces improvements to model training checks, dashboard accuracy indicators, and overall usability.
DeepTrading.ai stated that the new features are now available through its platform dashboard and are designed to provide investors with tools to analyze predictions, review potential strategies, and examine market conditions while maintaining a simple and transparent interface.
Announcement Overview
DeepTrading.ai has released a major update to its AI-powered stock prediction and market research platform, introducing new tools intended to support analysis, strategy exploration, and data access for retail investors and traders.
The update expands the platform’s functionality with the addition of rule-based Trading Strategies and integrated Backtesting capabilities. These features allow users to create and evaluate strategies based on DeepTrading predictions and review simulated performance using historical data.
The release also introduces AI-generated Market Analysis briefs designed to provide short summaries of market conditions and individual ticker developments. These briefs are generated after market close and include subject labels and sentiment indicators intended to help users review market information quickly.
In addition, the update adds read-only broker portfolio connections, allowing users to connect brokerage accounts and view their holdings alongside DeepTrading predictions and contextual information. The company also introduced predicted Gain/Loss scanning columns within the platform’s Data Search interface to assist users in identifying potential price movement scenarios across different time horizons.
Other updates include CSV export capabilities for backtesting results and filtered data views, as well as the launch of a REST API add-on designed to allow programmatic access to selected platform data and analytics.
According to DeepTrading.ai, the release reflects user requests for tools that enable investors to move from predictions toward structured workflows for exploring strategies and market insights.
Key Announcement Details
- Announcement Type: Major product release and platform capability expansion
- Company: DeepTrading.ai
- Announcement Date: March 3, 2026
- Location in Release: Bayonne, New Jersey, United States
- Platform Description: AI-powered stock prediction and market research platform
- Primary Platform Audience: Retail investors and traders
- Core Platform Evolution: Expansion from predictions and charts into a more action-oriented workflow
- New Major Feature Categories Introduced:
- Rule-based Trading Strategies
- Built-in Backtesting tools
- Buy & Hold Return comparison benchmarks
- AI-powered Market Analysis briefs
- Read-only broker portfolio connections
- Predicted Gain/Loss scanning columns
- Daily strategy-action email
- CSV export functionality
- REST API programmatic access add-on
Trading Strategies Feature
- Enables users to build rule-based trading strategies
- Strategies operate on DeepTrading prediction signals
- Users can save strategies within the platform
- Strategies can be executed through simulated historical backtests
- Strategy controls designed for everyday investors
Backtesting Capability
- Backtesting simulates historical trades based on defined strategy rules
- Simulations generate portfolio equity growth over time
- Backtesting results include a detailed trades table
- Backtesting results include summary performance metrics
- Backtesting calculations are performed using business days
Backtesting Output Metrics
Each backtest produces:
- Trades count
- Win rate
- Total return
- Final portfolio equity
Buy & Hold Baseline Comparison
- Backtesting includes Buy & Hold Return comparison
- Enables side-by-side comparison between strategy performance and passive holding
Platform Limitation
- DeepTrading.ai does not place trades
- Backtesting simulations are provided for educational purposes
Market Analysis Feature
- AI-generated market analysis briefs available for tracked tickers
- Ticker briefs generated after market close
Market Brief Components
Each market brief includes:
- General Market Brief
- One-line Subject label
- Sentiment classification
Sentiment Categories
Market brief sentiment labels include:
- Positive
- Neutral
- Negative
Market Brief Content Format
- Concise summaries designed for quick reading
- Brief format focused on describing what happened and potential next developments
General Market Brief
- Loads immediately within the dashboard interface
Broker Portfolio Connections
- Users can connect brokerage accounts to the platform
- Connection operates in read-only mode
Portfolio Integration
- Portfolio holdings displayed inside the DeepTrading.ai dashboard
- Supported symbols display DeepTrading predictions alongside holdings data
Unsupported Symbols Handling
- Unsupported tickers can still appear in portfolios
- Unsupported symbols can be flagged using a Request Support feature
Data Search Enhancements
- Data Search interface now includes predicted Gain/Loss columns
- Gain/Loss columns organized by prediction horizon
Data Search Functionality
- Allows sorting across predicted gain/loss metrics
- Enables filtering across predicted movers
CSV Export Functionality
CSV export available for:
- Backtesting trades tables
- Filtered and sorted Data Search views
REST API Add-On
- REST API introduced as optional add-on feature
API Authentication
- Uses secure per-user API keys
API Usage Model
- Credit-based usage caps
REST API Available Endpoints
- Stock lists
- Top movers
- Per-ticker predictions by horizon
- Predicted gain/loss values
- Ticker brief sentiment data
- Ticker brief subject line
- General market brief
Prediction Model Improvements
- Model update identified as Model 100
Model 100 Improvements
- Stronger training checks
- Improved cross-horizon prediction stability
Accuracy Reporting Update
- Hybrid Accuracy metrics displayed more consistently across the platform dashboard
Interface and Usability Improvements
- Improved dashboard readability
- Clearer chart thumbnails
- Improved table controls
- Resizable dashboard panels
Feature Availability
- New features available immediately in the DeepTrading.ai dashboard
Free Trial
- 7-day free trial offered
Subscription Plans
Two subscription tiers available:
Basic Plan
- Access to prediction horizons:
- Daily
- Two-Day
- Weekly
Advanced Plan
- Access to prediction horizons from:
- 1 Day
- up to 1 Year
Trading Strategies and Backtesting Features
One of the central additions in the product release is the introduction of rule-based Trading Strategies. The feature allows users to build strategies based on predicted price direction and magnitude derived from DeepTrading’s prediction models.
Users can define strategy rules, save strategies, and run them through historical simulations using the platform’s built-in backtesting functionality. The goal of the feature is to allow users to evaluate how specific signals or rules would have performed historically under simulated conditions.
Each backtest generates multiple outputs designed to help users review the results. These include a summary section presenting metrics such as the total number of trades executed during the simulation, win rate, total return, and final portfolio equity.
The platform also produces a detailed trades table showing each simulated trade decision, including the progression of portfolio equity over time. According to DeepTrading.ai, the system calculates results on business days and generates a full list of simulated trading decisions used to produce the strategy results.
Backtesting results also include a Buy & Hold Return comparison. This baseline allows users to review how the simulated strategy performance compares with passive holding of the same asset over the same time period.
The company stated that the backtesting tools are designed for educational and research purposes and that the platform does not execute or place trades.
Market Analysis Briefs Introduced
The product release also introduces AI-powered Market Analysis briefs designed to provide concise market summaries and ticker-level insights.
The platform now generates a General Market Brief that loads immediately within the dashboard, providing a high-level overview of market conditions. In addition to the general brief, the system also produces per-ticker market briefs after the market closes.
Each ticker brief includes several components designed to help users quickly review the information. These include a one-line subject label for fast scanning and a sentiment indicator categorized as Positive, Neutral, or Negative.
The briefs also contain short summaries that describe recent developments and potential next developments related to the ticker. According to DeepTrading.ai, the design of the briefs prioritizes short, readable summaries intended to support quick review.
The company stated that the feature was designed to make market information easier to interpret without requiring users to navigate longer analytical reports.
Broker Portfolio Connections
Another addition in the release is the introduction of read-only broker portfolio connections.
This feature allows users to connect their brokerage accounts to the DeepTrading.ai platform in read-only mode. Once connected, the platform displays the user’s holdings directly within the dashboard interface.
For supported symbols, the platform overlays DeepTrading predictions and contextual information alongside standard portfolio data fields. According to the company, this allows users to review predictions and analytics while viewing their existing holdings.
If a symbol in a connected portfolio is not currently supported by the platform, it can still appear in the portfolio display and be flagged through a Request Support feature.
DeepTrading.ai stated that the portfolio connection functionality is designed to provide users with a unified view of their holdings and platform insights without requiring trade execution through the platform itself.
Faster Market Scanning and Data Export Tools
The update also introduces several tools intended to improve the speed and efficiency of reviewing potential opportunities within the platform.
The Data Search feature now includes predicted Gain/Loss columns organized by prediction horizon. These columns are designed to help users identify potential upside or downside scenarios based on the platform’s prediction outputs.
By sorting and filtering across these columns, users can scan a broader universe of stocks to review predicted movers across different timeframes.
The release also adds CSV export functionality. Users can now export data from the platform in two primary areas.
The first export option allows users to download trades tables generated from backtesting simulations. The second option allows users to export the current filtered and sorted view from the Data Search interface.
According to the company, these export features allow users to review and analyze data outside the platform if desired.
REST API Add-On for Programmatic Access
DeepTrading.ai has also introduced a REST API add-on designed for users seeking programmatic access to platform data.
The API provides secure access through individual API keys assigned to each user. Usage is controlled through a credit-based system designed to manage API activity.
Available API endpoints include stock lists, top movers, per-ticker predictions organized by horizon, predicted gain/loss values, ticker brief sentiment and subject information, and the general market brief.
According to the company, the API is designed for developers and advanced users who wish to integrate DeepTrading.ai data into external tools or workflows.
Platform Improvements and Model Updates
Alongside the new features, the release also includes several updates to platform models and interface usability.
DeepTrading.ai introduced improvements to its prediction model referred to as Model 100. According to the company, the update includes stronger training checks designed to improve cross-horizon prediction stability.
The company also stated that Hybrid Accuracy indicators are now displayed more consistently across the dashboard interface.
Additional interface changes include improvements to dashboard readability, updated chart thumbnails, improved table controls, and resizable panels designed to enhance navigation and usability within the platform.
Leadership Statement
“This is one of our biggest releases ever,” said Nektarios Kalogridis, Founder and CEO of DeepTrading.ai. “Customers have consistently asked for ways to turn predictions into a clear workflow without making the platform complicated. This release delivers that while staying transparent and easy to understand.”
Availability and Subscription Plans
According to DeepTrading.ai, the features introduced in the product release are currently available within the platform dashboard.
The company offers a 7-day free trial for new users. The platform provides two subscription tiers.
The Basic plan includes prediction horizons covering Daily, Two-Day, and Weekly forecasts.
The Advanced plan includes access to all prediction horizons ranging from one day to one year.
DeepTrading.ai has clarified that all other platform features are available across both tiers, with the primary difference being the range of prediction horizons accessible to users.
DeepTrading.ai stated that the platform provides educational tools and research support and does not execute trades or provide financial advice.
About DeepTrading.ai
DeepTrading.ai is an AI-powered stock prediction and market research platform developed for retail investors and traders. The platform provides multi-horizon predictions, visual context related to prediction performance, and tools designed to support strategy exploration and market review.
The platform includes features that allow users to build strategies, conduct backtesting simulations, review market briefs, and examine predictions across different time horizons. DeepTrading.ai focuses on presenting predictive analytics and market information in a visual and transparent format intended to help users explore research and strategy workflows.
Additional information about the platform is available at https://www.deeptrading.ai.
Access DeepTrading.ai’s Official Press Release:
https://www.deeptrading.ai/press/deeptrading-major-product-release-2026-03-03
Media Contact
Nektarios Kalogridis
Founder and CEO
DeepTrading.ai
Email: info@deeptrading.ai
Source Attribution
Source: Company announcement