Refactor Predictor and market data handling

- Added Predictor class with input preparation and instructions for financial strategy generation.
- Removed PredictorAgent class and integrated its functionality into the new Predictor module.
- Created a base market API wrapper and specific implementations for Coinbase and CryptoCompare.
- Introduced PublicBinanceAgent for fetching public prices from Binance.
- Refactored ToolAgent to utilize the new Predictor and market API wrappers for improved data handling and predictions.
- Updated models to streamline the selection of available LLM providers.
- Removed deprecated signer classes for Coinbase and CryptoCompare.

src/app/markets/coinbase.py

@@ -0,0 +1,35 @@
+from coinbase.rest import RESTClient
+from app.markets.base import ProductInfo, BaseWrapper, Price
+
+class CoinBaseWrapper(BaseWrapper):
+    def __init__(self, api_key:str, api_private_key:str, currency: str = "USD"):
+        assert api_key is not None, "API key is required"
+        assert api_private_key is not None, "API private key is required"
+
+        self.currency = currency
+        self.client: RESTClient = RESTClient(
+            api_key=api_key,
+            api_secret=api_private_key
+        )
+
+    def __format(self, asset_id: str) -> str:
+        return asset_id if '-' in asset_id else f"{asset_id}-{self.currency}"
+
+    def get_product(self, asset_id: str) -> ProductInfo:
+        asset_id = self.__format(asset_id)
+        asset = self.client.get_product(asset_id)
+        return ProductInfo.from_coinbase(asset)
+
+    def get_products(self, asset_ids: list[str]) -> list[ProductInfo]:
+        all_asset_ids = [self.__format(asset_id) for asset_id in asset_ids]
+        assets = self.client.get_products(all_asset_ids)
+        return [ProductInfo.from_coinbase(asset) for asset in assets.products]
+
+    def get_all_products(self) -> list[ProductInfo]:
+        assets = self.client.get_products()
+        return [ProductInfo.from_coinbase(asset) for asset in assets.products]
+
+    def get_historical_prices(self, asset_id: str = "BTC") -> list[Price]:
+        asset_id = self.__format(asset_id)
+        data = self.client.get_candles(product_id=asset_id)
+        return [Price.from_coinbase(candle) for candle in data.candles]