📈 Bitcoin to $70K? My LSTM Model Thinks So 🚀
I've been working on an LSTM (Long Short-Term Memory) neural network designed to forecast Bitcoin prices, and the results are exciting. My model analyzes historical BTC data and learns temporal patterns to predict future movements. After extensive training and optimization, it reached an accuracy of around 96% on the training set.
🔍 How it works:
LSTM networks are especially powerful for time-series forecasting because they can capture long-term dependencies and trends in data. I trained my model using historical daily BTC prices, letting it learn the complex patterns and volatility that define crypto markets. The model takes sequences of past prices and uses that context to project the price movements of the next 30 days.
📊 The Forecast:
Based on the model's output, my current prediction is that Bitcoin will reach $70,000 within the next 30 days. This projection isn’t just a guess – it’s backed by a deep-learning model built to handle the chaotic nature of crypto.
⚠️ Note:
While the training accuracy is high, real-world conditions can differ, and models should always be taken as tools—not certainties. I’m sharing this analysis to contribute to the community and spark discussion.
Would love to hear your thoughts or see if others are seeing similar trends! 👇
#Bitcoin #BTC #CryptoAnalysis #MachineLearning #LSTM #BitcoinForecast #CryptoTrading
I've been working on an LSTM (Long Short-Term Memory) neural network designed to forecast Bitcoin prices, and the results are exciting. My model analyzes historical BTC data and learns temporal patterns to predict future movements. After extensive training and optimization, it reached an accuracy of around 96% on the training set.
🔍 How it works:
LSTM networks are especially powerful for time-series forecasting because they can capture long-term dependencies and trends in data. I trained my model using historical daily BTC prices, letting it learn the complex patterns and volatility that define crypto markets. The model takes sequences of past prices and uses that context to project the price movements of the next 30 days.
📊 The Forecast:
Based on the model's output, my current prediction is that Bitcoin will reach $70,000 within the next 30 days. This projection isn’t just a guess – it’s backed by a deep-learning model built to handle the chaotic nature of crypto.
⚠️ Note:
While the training accuracy is high, real-world conditions can differ, and models should always be taken as tools—not certainties. I’m sharing this analysis to contribute to the community and spark discussion.
Would love to hear your thoughts or see if others are seeing similar trends! 👇
#Bitcoin #BTC #CryptoAnalysis #MachineLearning #LSTM #BitcoinForecast #CryptoTrading
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Disclaimer
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.