chore: update config schema

Author: xmatthias

build_helpers/schema.json

@@ -273,6 +273,79 @@
         ]
       }
     },
+    "backtest_cache": {
+      "description": "Load a cached backtest result no older than specified age.",
+      "type": "string",
+      "enum": [
+        "none",
+        "day",
+        "week",
+        "month"
+      ]
+    },
+    "hyperopt_path": {
+      "description": "Specify additional lookup path for Hyperopt Loss functions.",
+      "type": "string"
+    },
+    "epochs": {
+      "description": "Number of training epochs for Hyperopt.",
+      "type": "integer",
+      "minimum": 1
+    },
+    "early_stop": {
+      "description": "Early stop hyperopt if no improvement after <epochs>. Set to 0 to disable.",
+      "type": "integer",
+      "minimum": 0
+    },
+    "spaces": {
+      "description": "Hyperopt parameter spaces to optimize. Default is the default set andincludes all spaces except for 'trailing', 'protection', and 'trades'.",
+      "type": "array",
+      "items": {
+        "type": "string",
+        "enum": [
+          "all",
+          "buy",
+          "sell",
+          "roi",
+          "stoploss",
+          "trailing",
+          "protection",
+          "trades",
+          "default"
+        ]
+      },
+      "default": [
+        "default"
+      ]
+    },
+    "analyze_per_epoch": {
+      "description": "Perform analysis after each epoch in Hyperopt.",
+      "type": "boolean"
+    },
+    "print_all": {
+      "description": "Print all hyperopt trials, not just the best ones.",
+      "type": "boolean",
+      "default": false
+    },
+    "hyperopt_jobs": {
+      "description": "The number of concurrently running jobs for hyperoptimization (hyperopt worker processes). If -1 (default), all CPUs are used, for -2, all CPUs but one are used, etc. If 1 is given, no parallel computing is used.",
+      "type": "integer",
+      "default": -1
+    },
+    "hyperopt_random_state": {
+      "description": "Random state for hyperopt trials.",
+      "type": "integer",
+      "minimum": 0
+    },
+    "hyperopt_min_trades": {
+      "description": "Minimum number of trades per epoch for hyperopt.",
+      "type": "integer",
+      "minimum": 0
+    },
+    "hyperopt_loss": {
+      "description": "The class name of the hyperopt loss function class (IHyperOptLoss). Different functions can generate completely different results, since the target for optimization is different. Built-in Hyperopt-loss-functions are: ShortTradeDurHyperOptLoss, OnlyProfitHyperOptLoss, SharpeHyperOptLoss, SharpeHyperOptLossDaily, SortinoHyperOptLoss, SortinoHyperOptLossDaily, CalmarHyperOptLoss, MaxDrawDownHyperOptLoss, MaxDrawDownRelativeHyperOptLoss, MaxDrawDownPerPairHyperOptLoss, ProfitDrawDownHyperOptLoss, MultiMetricHyperOptLoss",
+      "type": "string"
+    },
     "bot_name": {
       "description": "Name of the trading bot. Passed via API to a client.",
       "type": "string"