5. Trend Analysis
5.1 Predictive AI Algorithms
We leverage time-series forecasting models like LSTM (Long Short-Term Memory) networks and Prophet for short- to mid-term price predictions of memecoins. Key data points include:
Historical price and volume on Solana DEXs.
Social media sentiment (Twitter, Discord, etc.).
On-chain metrics such as staking and unstaking events.
5.2 Market Sentiment & Wallet Behavior
To evaluate sentiment, we merge data from off-chain sources with on-chain analytics. Natural Language Processing (NLP) techniques decode social feeds for bullish or bearish signals, while wallet clustering reveals whether large holders (whales) are accumulating or distributing tokens.
5.3 On-Chain Metrics Forecasting
Our AI engine computes advanced metrics like:
Market Depth Coefficients: Measuring liquidity available at varying price levels.
Volatility Index: Derived from GARCH models to forecast potential drawdown
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