Known online as MisuTerminal, the 17-year-old founder who started Wabble News at 16 is building Wabble AI to combine automated technical analysis, real-time market data, derivatives, charts and financial news in one trading intelligence platform.

SHERIDAN, US — September 24, 2026 — Wabble is entering a new stage as its 17-year-old founder, known online as MisuTerminal, expands Wabble News into Wabble AI, an AI-native market intelligence platform being built specifically for traders.

Wabble AI logo over Earth, text: Real-Time Market Intelligence, built by MisuTerminal.

MisuTerminal started Wabble News at age 16 with a focus on a simple problem: important market information moves quickly, while traders often have to monitor multiple platforms just to understand what is happening.

What began as a real-time financial news project has since grown into a broader financial technology ecosystem spanning market data, derivatives analytics, order flow, liquidity, technical analysis, interactive charts and artificial intelligence.

Wabble News now monitors hundreds of sources across crypto, stocks, forex, commodities, macroeconomics and geopolitical developments that can affect financial markets.

Speed remains a major part of the infrastructure. Selected high-priority events can reach Wabble within seconds of publication. Important posts from President Donald Trump’s Truth Social account, for example, have repeatedly been detected and delivered by Wabble in under 10 seconds.

Wabble News currently has more than 5,600 Telegram members, while Wabble News Bot has grown to more than 2,100 users and more than 470 weekly active users.

But Wabble AI is being built to go significantly beyond financial news.

The platform is designed to automatically analyze markets using multiple layers of live and structured financial data rather than functioning as a general-purpose chatbot.

A major part of Wabble AI is automated technical analysis.

The system is being developed to analyze price action, trend structure, momentum, support and resistance, liquidity, Smart Money Concepts, order blocks, fair value gaps, break of structure, change of character, technical patterns, VWAP, volume and other market signals without requiring traders to manually combine every indicator themselves.

Wabble AI is also being built to work directly with interactive charts.

A trader will be able to ask Wabble AI to analyze a chart, identify important levels and liquidity zones, detect market structure and technical patterns, draw relevant areas directly on the chart and then continue discussing those observations with the AI.

Instead of simply producing a bullish or bearish answer, Wabble AI is designed to compare different forms of market evidence, identify where signals agree or conflict, build possible scenarios and explain what could invalidate each scenario.

Behind this automated analysis is Wabble’s broader market-data infrastructure.

For cryptocurrency markets, Wabble already works with multi-venue liquidity and order-book data, L1 and L2 order flow, executed trade data, cumulative volume delta, footprint analysis, open interest, funding rates, liquidations, positioning and market structure.

Its derivatives stack also includes BTC and ETH options analytics such as gamma exposure, delta exposure, max pain and expiry positioning.

Wabble AI is being developed to combine those datasets with macroeconomic information, breaking financial news and cross-asset market context.

That means a question about Bitcoin, for example, can eventually involve much more than a price chart. Wabble AI could examine technical structure, order flow, liquidity, funding, open interest, liquidations, options positioning, macro conditions and relevant breaking news before producing its analysis.

Real-time events are also intended to continuously update the system’s view.

If Wabble AI has a bullish market scenario and a major geopolitical, regulatory or macroeconomic event suddenly changes market conditions, the platform is being designed to reassess the relevant assets, liquidity, derivatives positioning and technical structure rather than continuing to repeat an outdated thesis.

Personalization is another major part of the Wabble AI roadmap.

The platform is intended to understand which markets a user trades, preferred timeframes, trading style and risk preferences so its analysis can become increasingly relevant to the individual trader.

Wabble is also developing an AI-assisted trading journal.

Users will be able to tell Wabble AI when they enter a position, move a stop, take partial profit, reach a target or exit a trade. The system is intended to automatically maintain the corresponding trading journal and performance history rather than requiring every action to be entered manually.

The broader ambition behind Wabble AI is to reduce the fragmented workflow traders currently face.

Today, traders may use separate platforms for breaking news, charting, technical analysis, derivatives data, options, liquidations, order flow, economic events and journaling.

Wabble AI is being built to bring those functions together into one intelligent market environment.

MisuTerminal’s long-term goal is for Wabble AI to become one of the leading dedicated AI platforms for trading — a product traders instinctively open when they want to understand what a market is doing, why it is moving and what data matters most.

MisuTerminal, now 17, continues to lead development of Wabble after starting the project at 16.

Wabble is also a member of NVIDIA Inception, NVIDIA’s program supporting technology companies building products involving artificial intelligence and accelerated computing.

Wabble AI:
https://wabbleai.pro

Wabble News:
https://wabble.news

Wabble News Telegram:
https://t.me/WabbleNews

Please identify the founder publicly only as MisuTerminal, the name he is known by online. Do not publish any legal or personal name in the release, metadata, captions or syndicated copies.

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Media Contact

Company: Wabble AI
Contact Person: Arman Nasoyan
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Website: wabbleai.pro

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