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Automated asset trading bot with nice UI that lets you teach the bot how to trade using machine learning.
Organizar el proyecto en diferentes branches, para mantener master estable y organizar el trabajo.
master: Como está ahora, con un RSI basico.
migration-ta4j: Desde master. La que voy a empezar ahora. Se pasa el mismo programa, a ta4j.
ml: Desde migration-ta4j.
Para este caso, comprendiendo los modelos lineales se puede simplificar el razonamiento. Por eso conviene la 2. Es un ambiente que ya conozco. Entonces, la interfaz del programa es:
java -jar tradexchange.jar <pair> <mode> <days>
(Donde mode: backtest
, train
, live
).
Leeria y probaria el modelo.
Te mostraría un modelo interactivo, en el que clickeando un punto con click primario te pide el monto para comprar. Clickeando con click secundario, genera una venta en el punto. Y, clickeando con la rueda, elimina. El procesamiento de los datos debe ser independiente del entrenamiento.
Los entrenamientos se deberían guardar en un directorio ej. data/USDT_ETH-train.json
Tradear con keys reales. Debería leer los keys de poloniex desde ej data/poloniex-auth-data.json
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