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QANT.AI

QANT.AI provides a deep‑learning‑based crypto trading bot that automatically analyzes extensive historical and live market data to generate trade signals and execute orders 24/7. The platform incorporates continuous risk management to limit trade losses to around 3 % and uses out‑of‑sample backtesting to ensure strategy robustness, helping individual traders and small groups achieve more consistent, emotion‑free returns.

Stuttgart, GermanyFounded 20187410K+ followers
Updated 2 months ago

Funding

$71.9M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

8OIX
Funding rounds are not available yet.

Founders

Product

Problem

Individual crypto traders often struggle to achieve consistent profitability because human limitations—such as emotional bias, limited memory, and inability to process vast market data in real time—lead to suboptimal decisions and frequent losses.

Solution

QANT.AI offers a deep‑learning‑based trading bot that automates cryptocurrency market participation with near‑instant analysis of historical and live data. The system applies continuous risk management to cap losses around 3 % per trade and provides overfitting‑free backtesting using data periods not seen during training. By updating its models with new market information, the bot adapts to evolving trends and inefficiencies, delivering high‑frequency, mathematically driven execution without human emotion or fatigue. Performance metrics reported include a 99.57 % return in the first half of 2024 and zero liquidations, illustrating the platform’s focus on reliable profit generation.

Target Audience

QANT.AI is aimed at individual cryptocurrency traders and small investment groups seeking automated, data‑driven trading solutions that reduce emotional bias and improve return consistency.

Features

  • Deep learning engine that processes extensive historical and real‑time crypto market data for trade signal generation
  • Built‑in risk management limits individual trade losses to approximately 3 % and prevents liquidations
  • Overfitting‑free backtesting using out‑of‑sample data to validate strategy robustness
  • Continuous model updates that incorporate the latest market conditions and inefficiencies
  • 24/7 autonomous operation, enabling round‑the‑clock market coverage without human intervention
  • Integration with major crypto exchange APIs for seamless order execution and asset custody
This profile is AI-generated and may contain inaccuracies.