Reinforcement Model v0.1.1-beta

Algorithm:

• Reinforcement Model
• PPO
• MultiInputPolicy

Accuracy:

• 1 Episode = 100 trades
• Avg reward = 0

RNN v0.1.0-beta

Algorithm:

• Random forest

Accuracy:

1. Colour : 50% +
2. Number : 20% +

Model v0.1.0-alpha

Algorithm:

• Random forest

Accuracy:

1. Colour : 45 - 50%
2. Number : 15 - 20%