Sentiment Analysis in Trading
Markets are driven by fear and greed as much as fundamentals. AI sentiment models quantify crowd psychology and find contrarian edges.
Key sentiment signals
- Funding rates (crypto) — persistent positive = overleveraged longs, often precedes correction
- Put/call ratio (equities) — extreme put buying = capitulation; contrarian bullish
- Social sentiment — Twitter/Reddit volume spikes often precede reversals (too many bulls = top)
- Long/short ratio — retail lopsidedness on exchanges signals impending squeeze
- CNN Fear & Greed Index — extreme fear has historically been a buy signal for patient traders
How Tidava uses sentiment
Sentiment is one of 6 engine families in Tidava. It gets more weight when technical signals are conflicting and less weight in macro-driven moves. When sentiment is extreme AND technicals confirm, the verdict confidence rises significantly.
See sentiment-integrated signals →