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        "description": "# gym-gopherfx\n\nA gym environment for reinforcement training on forex historical data.\n\nHistorical data is no way a predictor of future behaviour in forex, but can be used as challenging science experiment :).\n\n## How to run\nClone the repo\n```bash\ndocker-compose up -d\n```\n\nAccess [http://127.0.0.1:8050/](http://127.0.0.1:8050/) to access the dashboard.\n\n\nTo start a random agent and see live evolutions:\n```bash\npython random_agent.py\n```\n\n## About the environment\n\n### Gopherfx-v0\n\nObservation:\nA tuple of the current datetime and rate\n\nThe available actions are:\n* 0 - wait\n* 1 - buy\n* 2 - sell\n\nReward:\n* 0 - for waiting/first buy/first sell\n* trade_result - for closing an open position\n* -1 - when depleting the budget\n\nThe episodes ends when the trading day is over or the budget is depleted.\n\n### Gopherfx-v1\n\nObservation:\n- A tuple of Candle rate data representing the market state at the step moment\n- The value for the current open position\n- The action required to close the current open position\n\nRaw example:\n```json\n{\n  \"volume\": 45,\n  \"time\": \"2018-06-01T00:00:00.000000000Z\",\n  \"bid\": {\n    \"o\": \"1.16916\",\n    \"h\": \"1.16929\",\n    \"l\": \"1.16908\",\n    \"c\": \"1.16915\"\n  },\n  \"ask\": {\n    \"o\": \"1.16933\",\n    \"h\": \"1.16946\",\n    \"l\": \"1.16924\",\n    \"c\": \"1.16930\"\n  }\n}\n```\n\n\nThe available actions are:\n* 0 - wait\n* 1 - buy\n* 2 - sell\n\nReward:\n* 0 - for waiting/first buy/first sell\n* trade_result - for closing an open position\n* -1 - when depleting the budget\n\nThe episode ends when the trading day is over or the budget is depleted.",
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