$BIGTIME /USDT.

Current Snapshot:

Price: $0.07925 (slightly down, -1.22%)

24h Range: Low $0.07431 | High $0.08197

Volume (BIGTIME): 36.55M | Volume (USDT): 2.87M

MA60: $0.07847 (current price above it)

Support Zone: ~$0.07800–0.07850

Resistance Zone: ~$0.08150–0.08200

Neural Network Trade Setup Idea

You can train a simple neural network classifier or LSTM model using:

Input features:

Price (Open, High, Low, Close)

Moving Averages (MA5, MA10, MA60)

RSI, MACD, Volume spikes

Time of day

Output: Predict Buy, Sell, or Hold signals for the next time step (e.g., 15m)

Example Trade Setup From Current Data (Manual + ML Hybrid):

Trend Bias: Price is above MA60 and within a local pullback, suggesting a potential bounce if support holds.

Entry Idea: Consider buying near $0.07820–0.07850 support zone.

Take-Profit (TP): $0.08150–0.08200

Stop-Loss (SL): Below $0.07750

If you'd like, I can walk you through:

Building a simple neural network model for this

Code in Python (using TensorFlow or PyTorch)

Backtesting it on past BIGTIME/USDT data

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