๐ฎDiscover GaNN
GaaNN is a predictive model for trading: It function as strategist for market insights.
Trained on top tier data, live blockchain liquidity, centuries of historical market data and fundamentals, time cycles, numerology, planetary aspects, human psychology, and moreโฆ serving as predictive model for financial markets.

Easy to use
๐๐ It contains visual elements that allows it to highlight turning points and strategies directly on the price chart of your favorite asset.
๐ฌ Integrated with a chat bot for straight forward interactions with the model in a Question & Answer way, or directly highlighting predictions on your TradingView charts.

Following NNaaSโ philosophy, we make advanced predictive technology that is normally reserved to trading firms and data scientists accessible to non-technical users within a couple of clicks. Opening the doors to intricate/unconventional market analysis allowing users to develop their own unique strategies.

BTC
๐ช Initially focused on Bitcoin, the model is constantly updated and back-tested to learn and improve its precision: with an initial score of 81,8% accuracy on Bitcoin market cycles for the beta version we aim to constantly grow it further with every upcoming upgrades. Currently in development, we are taking extra care of the back-testing process and data refining in order to achieve a precision score of 87+ % before launch.
Regardless of short term price action, GaNN helps traders knowing where the market is heading, a valuable edge normally unavailable to independent market participants.

Examples of GaNN capabilities:
Turning Point Detection: Local tops/bottoms predictions with confidence scores.
Price Targets: Predict key support/resistance zones.
Time Windows: High-probability reversal periods ("Nov 15-20 critical"; Q1 vs Q2; seasonality)
Visual Chart Integration: Annotations directly on TradingView charts.
GaNN is not a trading bot, nor a language model trained to answer as a trading expert. it is literally one of the most trained brain for trading on earth.
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