About TerraManta

The startup offers a machine learning platform that forecasts commodity prices by analyzing geopolitical news, market fundamentals, and price actions through artificial intelligence. This technology enables commodity traders and analysts to manage economic risks associated with price volatility, delivering consistent returns regardless of market fluctuations.

<problem> Commodity markets are increasingly volatile due to geopolitical events and the transition to sustainable energy, making reliable price forecasting difficult for human analysts. This volatility creates challenges for commodity traders and analysts in managing risk and achieving consistent returns. </problem> <solution> TerraManta offers a machine learning platform designed to forecast commodity prices and manage capital in volatile markets. The platform analyzes geopolitical news, economic data, and market behavior to identify relationships and predict price movements. By processing thousands of articles and data points, the software provides actionable market assessments and recommended trading strategies. The platform captures market reactions to geopolitical and economic events, leveraging a proprietary machine learning approach called "Reflection of Reality" to forecast price behavior based on repeating patterns. </solution> <features> - Analyzes geopolitical and economic events, supply and demand data, and price actions from structured and unstructured data sources. - Employs a proprietary machine learning approach, "Reflection of Reality," to identify repeating patterns and forecast price behavior. - Uses generative AI to provide actionable market assessments and recommended trading strategies. - Processes over nine years of historical data to train and refine its forecasting models. - Delivers 21-day price forecasts for WTI front month contract with over 85% accuracy. - Incorporates motivational analysis of oil-producing and consuming nations to predict market impacts. </features> <target_audience> The primary target audience includes commodity traders, hedge funds, and institutional investors who require accurate commodity price forecasts to manage risk and generate consistent returns. </target_audience>

What does TerraManta do?

Where is TerraManta located?

TerraManta is based in Irvine, United States.

When was TerraManta founded?

TerraManta was founded in 2016.

How much funding has TerraManta raised?

TerraManta has raised 10120000.

Location

Irvine, United States

Founded

2016

Funding

10120000

Employees

5 employees

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TerraManta

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Executive Summary

terramanta.com 200+

Founded 2016 – Irvine, United States

Funding

Estimated Funding

$10M+

Team (5+)

No team information available.

Company Description

Problem

Commodity markets are increasingly volatile due to geopolitical events and the transition to sustainable energy, making reliable price forecasting difficult for human analysts. This volatility creates challenges for commodity traders and analysts in managing risk and achieving consistent returns.

Solution

TerraManta offers a machine learning platform designed to forecast commodity prices and manage capital in volatile markets. The platform analyzes geopolitical news, economic data, and market behavior to identify relationships and predict price movements. By processing thousands of articles and data points, the software provides actionable market assessments and recommended trading strategies. The platform captures market reactions to geopolitical and economic events, leveraging a proprietary machine learning approach called "Reflection of Reality" to forecast price behavior based on repeating patterns.

Features

Analyzes geopolitical and economic events, supply and demand data, and price actions from structured and unstructured data sources.

Employs a proprietary machine learning approach, "Reflection of Reality," to identify repeating patterns and forecast price behavior.

Uses generative AI to provide actionable market assessments and recommended trading strategies.

Processes over nine years of historical data to train and refine its forecasting models.

Delivers 21-day price forecasts for WTI front month contract with over 85% accuracy.

Incorporates motivational analysis of oil-producing and consuming nations to predict market impacts.

Target Audience

The primary target audience includes commodity traders, hedge funds, and institutional investors who require accurate commodity price forecasts to manage risk and generate consistent returns.