ShareKing combines 5 ML models — sentiment, technical, LSTM, volume, and event analysis — into institutional-grade Buy/Sell/Hold signals with full explainability.
Six AI components work together to surface high-confidence trading signals with full transparency into how each recommendation is made.
Real-time news and social sentiment powered by financial BERT models across Indian and global sources.
40+ technical indicators processed through gradient-boosted trees for pattern recognition and probability scoring.
Deep learning on price sequences for multi-horizon forecasts at T+1, T+3, and T+7 day windows.
Detects institutional accumulation, distribution, and price-volume divergence in real time.
Scores breaking events, predicts market impact timing, and checks if news is already priced in.
Stacks all sub-models through a meta-learner with dynamic weights and continuous learning.
We scrape news, social media, and market data from 15+ sources with deduplication and credibility scoring.
Six ML models independently analyze sentiment, technicals, sequences, volume, events, and narrative momentum.
Meta-model stacking produces 5-tier signals (Strong Buy to Strong Sell) with risk scores and confidence levels.
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