$FET /USDT.
FET/USDT Snapshot (as of 2025-04-24 ~20:54):
Current Price: $0.701
24h Change: +13.06% (very bullish!)
24h High / Low: $0.721 / $0.606
24h Volume:
FET: 63.68M
USDT: 41.92M
Technical Indicators:
MA(5): 55,059
MA(10): 67,815
MA(60): 0.705
Recent Price Levels:
$0.716 → $0.712 → $0.708 → $0.703 → $0.701 → $0.699 → $0.695
Current Volume: 5,077 (latest), peaked at 382K
Interpretation:
The price is slightly below the MA60 ($0.701 vs $0.705), but still in a strong uptrend from the day’s low of $0.606.
Volume has recently dipped, which could indicate a short cool-down or consolidation phase after the spike.
If price holds above $0.695–$0.699 with increasing volume again, another leg up to retest $0.721 is likely.
FET/USDT
Prediction Goals:
Short-term price direction (classification or regression)
Momentum detection (volume + price velocity)
Buy/Sell signals
Input Features:
Historical OHLCV data (open, high, low, close, volume)
Moving averages (MA5, MA10, MA60, etc.)
MACD, RSI, Bollinger Bands (if available)
Order book depth snapshots
Model Types:
LSTM/GRU (for time series forecasting)
CNN (on image-like transformations of chart data)
Transformer-based (for multi-feature fusion)
Would you like a simple PyTorch or TensorFlow model template that can be used for this kind of trading setup? Or help designing a backtest strategy around it?
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