#CurrencyPairPrediction
Example Project Outline
Imagine we want to predict EUR/USD movement based on Twitter: Step Description
1 Collect tweets with hashtags EURUSD, ECB, etc.
2 Preprocess tweets (cleaning, tokenizing).
3 Analyze sentiment using VADER or FinBERT.
4 Aggregate average sentiment hourly.
5 Fetch EUR/USD price data for same timestamps.
6 Train model to predict next hour’s price direction based on sentiment trend.
7 Evaluate with metrics (accuracy, precision, recall).
8 Deploy model for real-time trading signals.
#CurrencyPairPrediction
Example Project Outline
Imagine we want to predict EUR/USD movement based on Twitter: Step Description
1 Collect tweets with hashtags EURUSD, ECB, etc.
2 Preprocess tweets (cleaning, tokenizing).
3 Analyze sentiment using VADER or FinBERT.
4 Aggregate average sentiment hourly.
5 Fetch EUR/USD price data for same timestamps.
6 Train model to predict next hour’s price direction based on sentiment trend.
7 Evaluate with metrics (accuracy, precision, recall).
8 Deploy model for real-time trading signals.