diff --git a/freqtrade/rpc/api_server/api_trading.py b/freqtrade/rpc/api_server/api_trading.py
index 3ec7a08b3..085116d0a 100644
--- a/freqtrade/rpc/api_server/api_trading.py
+++ b/freqtrade/rpc/api_server/api_trading.py
@@ -31,6 +31,7 @@ from freqtrade.rpc.api_server.api_schemas import (
     ResultMsg,
     Stats,
     StatusMsg,
+    WalletsSummary,
     WhitelistResponse,
 )
 from freqtrade.rpc.api_server.deps import get_config, get_rpc
@@ -104,6 +105,21 @@ def stats(rpc: RPC = Depends(get_rpc)):
     return rpc._rpc_stats()
 
 
+@router.get(
+    "/historic_balance",
+    response_model=WalletsSummary,
+    tags=["info"],
+)
+def api_get_backtest_wallet(rpc: RPC = Depends(get_rpc)):
+    results = rpc._rpc_get_historic_balance()
+
+    return {
+        "columns": results.columns.tolist(),
+        "data": results.values.tolist(),
+        "length": len(results),
+    }
+
+
 @router.get("/daily", response_model=DailyWeeklyMonthly, tags=["Trading-info"])
 def daily(
     timescale: int = Query(7, ge=1, description="Number of days to fetch data for"),
diff --git a/freqtrade/rpc/rpc.py b/freqtrade/rpc/rpc.py
index 37b8dfa6d..7ad480989 100644
--- a/freqtrade/rpc/rpc.py
+++ b/freqtrade/rpc/rpc.py
@@ -12,7 +12,7 @@ import psutil
 from dateutil.relativedelta import relativedelta
 from dateutil.tz import tzlocal
 from numpy import inf, int64, isnan, mean, nan
-from pandas import DataFrame, NaT
+from pandas import DataFrame, NaT, read_sql
 from sqlalchemy import func, select
 
 from freqtrade import __version__
@@ -785,6 +785,19 @@ class RPC:
             "bot_start_date": format_date(bot_start),
         }
 
+    def _rpc_get_historic_balance(self) -> DataFrame:
+        """
+        Returns the historic balance of the bot
+        :return: DataFrame with the balance history
+        """
+        results = read_sql("wallet_balance", con=Trade.session.bind, parse_dates=["timestamp"])
+        results.loc[:, "total"] = results["price"] * results["balance"]
+        results = results.rename({"timestamp": "date"}, axis=1)
+        results.loc[:, "__date_ts"] = results.loc[:, "date"].astype("int64") // 1000 // 1000
+
+        results = results.groupby(["date", "__date_ts"]).agg({"total": "sum"}).reset_index()
+        return results
+
     def __balance_get_est_stake(
         self, coin: str, stake_currency: str, amount: float, balance: Wallet
     ) -> tuple[float, float]: