TERADATA (Germany) Pattern Recognition Modified Hikkake Pattern

3T4 Stock  EUR 23.40  -0.80  -3.31%   
The pattern recognition view organizes Modified Hikkake Pattern recognition and supporting indicators around TERADATA. It emphasizes pattern recognition signals tied to momentum and continuation while keeping volatility, risk, and performance context in view.

Recognition
The function did not generate any output. Please change time horizon or modify your input parameters. This analysis covers fifty-one data points across the selected time horizon. The function did not return any valid pattern recognition events for the selected time horizon. The Modified Hikkake pattern may be used for determining of TERADATA market turning-points.

TERADATA Technical Analysis Modules

Most technical analysis of TERADATA help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for TERADATA from various momentum indicators to cycle indicators. When you analyze TERADATA charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.

Stock Overview, Methodology & Data Sources

TERADATA is an entity of Germany traded as a Stock on the Munich Exchange exchange. The stock overview for TERADATA summarizes business drivers, financial profile, and market behavior. The company is positioned within Diversified Metals & Mining, Materials, Data Storage. Current metrics include P/B of 10.81. TERADATA has a market cap of 4.09 B.

Methodology

Unless otherwise specified, financial data for TERADATA is derived from periodic company reporting (annual and quarterly where available). Asset-level metrics are computed daily by Macroaxis LLC and refreshed regularly based on asset type. TERADATA (DE:3T4) prices are typically delayed by approximately 20 minutes from primary exchanges for listed equities. Data may be delayed depending on reporting sources and market conventions. Assumptions: This report is built using public filings and market reference sources and official sources including U.S. Securities and Exchange Commission (SEC) via EDGAR. Normalization for analytical consistency may introduce small timing offsets. All analytics are generated using standardized, rules-based models designed to promote consistency and comparability across instruments. Model assumptions, reference parameters, and selected computational inputs are available in the Model Inputs section. If you have questions about our data sources or methodology, please contact Macroaxis Support.

Analyst Sources

TERADATA may have analyst coverage included in Macroaxis-derived consensus inputs when available. Updates may occur throughout the day.

This content is curated and reviewed by:

Raphi Shpitalnik - Junior Member of Macroaxis Editorial Board
Last reviewed on March 5th, 2026

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Performance tracking around TERADATA should go beyond the latest gain or loss and focus on how the position changes overall portfolio efficiency over time. That means looking at contribution to return, volatility, and correlation rather than relying on price movement alone.

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