example with gold

main.py

@@ -4,20 +4,22 @@ from auto_trading.ptf.in_memory import InMemoryPortfolio
 from auto_trading.predictor.mean_agg import MeanAggregator
 from auto_trading.predictor.normalized import NormalizedPredictor
 from auto_trading.predictor.selector import SelectorPredictor
+from auto_trading.predictor.random_predictor import RandomPredictor
 from auto_trading.main import Bot
 import matplotlib.pyplot as plt
 
+
+
 if __name__ == '__main__':
-    csv = "data/price_history.csv"
-    with open(csv, 'r') as f:
-        head = f.readline().replace("\n", "").split(",")[1:]
+    csv = "data/gold.csv"
     
-    pred = MeanAggregator([NormalizedPredictor(),SelectorPredictor({"Tether": 0.7})])
+    start = {"USD":10_000, "Gold": 0}
+    pred = MeanAggregator([NormalizedPredictor(), SelectorPredictor({"USD": -0.1}), RandomPredictor()])
     
     bot = Bot(
-        ptf=InMemoryPortfolio({k:1 for k in head}),
+        ptf=InMemoryPortfolio(start.copy()),
         strategy=AllIn(),
-        broker=Backtest(csv, index_col=0, skiprows=1600, names=head),
+        broker=Backtest(csv, index_col=0),
         predictor=pred
     )