Reinforcement Learning Plugin

Overview

The reinforcement_learning_plugin uses a fake reinforcement learning engine to simulate strategic decision-making for token trading.

It analyzes token identity and wallet patterns to generate high-confidence recommendations such as entry/exit points or risk warnings.

Endpoint

POST /api/reinforcement-learning

Input Parameters

Field	Type	Description
token	string	Target token symbol
wallet	string	User's wallet address
mode	string	Strategy mode: `aggressive`, `balanced`, `conservative`

Example Request

{
  "token": "FLOKI",
  "wallet": "0xabc123",
  "mode": "aggressive"
}

Example Response

{
  "token": "FLOKI",
  "mode": "aggressive",
  "strategy": "Buy small dips and stack aggressively every 3.5h",
  "expected_reward": "12.48%",
  "confidence": "91.27%",
  "model_id": "rl-034fa9c1"
}

Notes

Uses randomization to simulate AI behavior.
Good for gamified dashboards or mock trading bots.