Cryptone

Welcome to Cryptone: a Web Application Prototype UI that predicted historical prices of three coins: Bitcoin (BTC), Ethereum (ETH) and Ripple (XRP).

Uses ARIMA-LSTM models for price volatility, CryptoBERT and DistillroBERTa for emotion tagging and categorization
Real-time updates the price of the coin and tags CryptoPanic news based on their sentiment scores
Interactive Streamlit UI
Supports Binance and CryptoPanic integration (API keys are securely handled through a .toml)

Clone this repo:

git clone https://github.com/akiesque/Cryptone.git
cd Cryptone

Install dependencies (Python 3.10+, etc,..)
Create your own .streamlit/secrets.toml file using your own Binance API key. For CryptoPanic, simply replace the your_auth_token in the emotion_model.py file.
Once it's done, you can run the app through streamlit run app.py

Binance's website cannot be accessed in web browsers when under Philippine Internet Service Providers or telco.
- We advise you to look into local alternatives (CoinGecko, coins.ph) but make sure to read their documentation. Code may change accordingly.
To create your Binance API key: go to your account > profile > API Management (this can only be accessed through browser)

this project was made by two developers who are inspired by machine learning and crypto trading. happy trading to everyone 💕

Authors

Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
dataset		dataset
model		model
static		static
.gitignore		.gitignore
Arima_Lstm_Bitcoin.ipynb		Arima_Lstm_Bitcoin.ipynb
Bitcoin_test.csv		Bitcoin_test.csv
README.md		README.md
app.py		app.py
bitcoin.py		bitcoin.py
bitcoin_sentiment(1).csv		bitcoin_sentiment(1).csv
bitcoin_sentiment.csv		bitcoin_sentiment.csv
bitcoin_sentiment_FinBERT.csv		bitcoin_sentiment_FinBERT.csv
btc_prices(1).csv		btc_prices(1).csv
btc_prices.csv		btc_prices.csv
call_model.py		call_model.py
crypto_prices.csv		crypto_prices.csv
emotion_model.py		emotion_model.py
eth_prices(1).csv		eth_prices(1).csv
eth_prices.csv		eth_prices.csv
ethereum.py		ethereum.py
ethereum2.py		ethereum2.py
ethereum_sentiment(1).csv		ethereum_sentiment(1).csv
ethereum_sentiment.csv		ethereum_sentiment.csv
ethereum_sentiment_FinBERT.csv		ethereum_sentiment_FinBERT.csv
lstm_model.h5		lstm_model.h5
sample_sentiment.py		sample_sentiment.py
temp.txt		temp.txt
test.csv		test.csv
train_lstm.py		train_lstm.py
xrp.py		xrp.py
xrp2.py		xrp2.py
xrp_prices(1).csv		xrp_prices(1).csv
xrp_prices.csv		xrp_prices.csv
xrp_sentiment(1).csv		xrp_sentiment(1).csv
xrp_sentiment_FinBERT.csv		xrp_sentiment_FinBERT.csv