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⚒️ 12h ETH/USD Volatility Prediction ⚒️ 12h ETH/USDC Volume Prediction ⚒️ 5 min ETH/USD Price Prediction

git clone https://github.com/arcxteam/allora-cpu.git
cd allora-cpu

chmod +x init.sh
./init.sh

• Run the worker - directory
• Setting wallet & phrase or direct to manual config.json
• Setting docker-compose.yaml
• Setting docker-compose-reputer.yaml
• Setting coingecko API=CG-xxxxx

cd allora-cpu/allora-node

chmod +x ./init.config.sh
./init.config.sh "wallet_name" "mnemonic_phrase" "coingecko_api_key"

+ example:
- chmod +x ./init.config.sh
- ./init.config.sh "bangsat_kau" "kalo_pake_model_sendiri_pasti_dapat_point" "CG-4z765aZSHGD1"

docker compose pull

docker compose up --build -d 

• Check logs after run

docker compose logs -f 

• Trying editing
• Buidl python in the train_models.py file
• To edit for the best your 'own model' and run cmd
• Save the model CTRL + X and then Y save ENTER

nano train_models.py 

• Run command below!!

chmod +x ./start-train-model.sh
./start-train-model.sh

• Run command below!!
• Copied of CONTAINER-ID
• docker logs -f xxxCONTAINER-IDxxxxx
• Enter and check the logs

sudo docker ps -a

docker logs -f 

Training the model in ranges 30-60 Minutes!! plz keep until success

• Check your IMAGES run as 'allora-train-model:1.0.0'
• Check the file folder like ETH/BTC etc
• Check logs for training horizon symbol
• 5-10 Minutues & 20 Minutes & 1440 Minutes (5m-10m-20m-1D)
• The Container-ID with train will be auto exited after the completed