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NoahAI hits 3.44 billion live events in its first month, shifting the financial-AI paradigm

Noah AI Labs released 30-day live KPIs for NoahAI: 3.445 billion events, 99.9914% processing success, 21,000 MAU, 1.64 billion inferences and 1.65 billion learning records, and 115.38 million USDT in filled volume.

Author: 노아에이아이랩스

[Exclusive · IT/Finance Trend · 2026-08-17]

Noah AI Labs releases 30-day live KPIs for NoahAI

  • More than 3.44 billion market events processed in production, with 99.9914% system success
  • 21,000 MAU, 1.64 billion AI inferences and 1.65 billion learning records
  • Monthly filled volume of 115.38 million USDT — beyond price prediction, toward an autonomous judgment and learning OS

As AI reshapes global markets, a financial AI platform that closes the loop from judgment to execution, results, and re-learning has posted standout numbers one month after commercial launch.

NoahAI live operations: market observation, inference, execution and re-learning
NoahAI in live markets: observe, infer, execute, learn

Noah AI Labs disclosed 30-day operating KPIs for its global financial AI analysis and investing solution, NoahAI. The headline is not only user growth, but the scale of AI judgment and learning data built on actual-market activity.

99.99% stability and live learning at billion-event scale

In the 30 days after commercial launch NoahAI processed 3,445.43 million service events. Successfully recorded events: 3,445.13 million. Failures: 295,000. System processing success: 99.9914%.

Completed AI inferences: 1,635.65 million. Learning-record events: 1,648.68 million.

Where many financial AIs stop at chart-trained one-shot price calls, NoahAI runs observe → infer → execute → manage positions → close → re-learn in large-scale production. Over time the pile is not just market ticks, but data of what the AI actually did in the market.

NoahAI loop: market data, inference, execution, position management, close, re-learning
The live loop from market data to re-learning

2.47-second response, 115 million USDT filled

Precision held under load. Average AI response time: about 2.47 seconds (2,469.71 ms). Average position hold: 6.66 minutes (median 4.64 minutes).

30-day filled volume: 115,376,000 USDT (about 2.81 billion won). Actual order-fill success: 89.38%, on completed market fills, not API requests alone. Exchange mix: Upbit 22.00%, Binance 21.95%, Bybit 16.23%, Bitget 15.41%.

NoahAI excluded 559.18 million pre-order learning and staging events from trading results. Only actual fill amounts count as performance.

21,000 MAU, 53% seven-day retention

30-day users (MAU): 21,000. Daily active users (DAU) have passed 5,000. Seven-day retention: 53.33%. Average trading events per user exceeded 500,000.

Financial AI is shifting from who predicts better to who acts more in live markets and keeps learning. One month in, NoahAI has 3.44 billion live records. The industry is watching the next release of detailed investing results, including cumulative return and MDD.

Related tags

  • #노아AI
  • #Noah AI
  • #노아에이아이랩스
  • #금융 AI
  • #실전 데이터
  • #MAU
  • #DAU
  • #USDT
  • #업비트
  • #바이낸스
  • #AI 추론
  • #자율 판단

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