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Dockerfile

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+FROM python:3.11-slim
+
+RUN apt-get update && apt-get install -y git build-essential && rm -rf /var/lib/apt/lists/*
+
+RUN pip install --no-cache-dir freqtrade
+
+WORKDIR /app
+
+COPY user_data /app/user_data
+COPY start.sh /app/start.sh
+RUN chmod +x /app/start.sh
+
+EXPOSE 7860
+
+CMD ["/app/start.sh"]

start.sh

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+#!/usr/bin/env bash
+set -e
+export PYTHONUNBUFFERED=1
+
+freqtrade trade   --config /app/user_data/config.json   --strategy SimpleScalp

user_data/config.json

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+{
+  "$schema": "https://freqtrade.io/schemas/config.schema.json",
+  "runmode": "dry_run",
+  "dry_run": true,
+  "strategy": "SimpleScalp",
+  "timeframe": "1m",
+  "max_open_trades": 1,
+  "stake_currency": "USDT",
+  "stake_amount": 25,
+  "exchange": {
+    "name": "binance",
+    "key": "${BINANCE_API_KEY}",
+    "secret": "${BINANCE_API_SECRET}",
+    "ccxt_config": {
+      "enableRateLimit": true
+    }
+  },
+  "pairlists": [
+    {
+      "method": "StaticPairList"
+    }
+  ],
+  "pair_whitelist": [
+    "BTC/USDT",
+    "ETH/USDT"
+  ],
+  "api_server": {
+    "enabled": true,
+    "listen_ip_address": "0.0.0.0",
+    "listen_port": 7860,
+    "verbosity": "error",
+    "enable_openapi": true
+  }
+}

user_data/freqai/config.json

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+{
+  "enabled": false,
+  "model_training": {
+    "enabled": false
+  },
+  "prediction_parameters": {
+    "threshold": 0.75
+  }
+}

user_data/strategies/SimpleScalp.py

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+from freqtrade.strategy import IStrategy
+import pandas as pd
+import talib.abstract as ta
+
+class SimpleScalp(IStrategy):
+    timeframe = "1m"
+    startup_candle_count = 50
+
+    minimal_roi = {"0": 0.003}
+    stoploss = -0.002
+
+    @property
+    def protections(self):
+        return [
+            {"method": "CooldownPeriod", "stop_duration_candles": 2},
+            {
+                "method": "StoplossGuard",
+                "lookback_period_candles": 20,
+                "trade_limit": 3,
+                "stop_duration_candles": 10
+            },
+            {
+                "method": "MaxDrawdown",
+                "lookback_period_candles": 1440,
+                "trade_limit": 1,
+                "stop_duration_candles": 1440,
+                "max_allowed_drawdown": 0.02
+            }
+        ]
+
+    def populate_indicators(self, df: pd.DataFrame, metadata: dict):
+        df["ema_fast"] = ta.EMA(df, 9)
+        df["ema_slow"] = ta.EMA(df, 21)
+        df["vol_mean"] = df["volume"].rolling(20).mean()
+        return df
+
+    def populate_buy_trend(self, df: pd.DataFrame, metadata: dict):
+        df.loc[
+            (df["ema_fast"] > df["ema_slow"]) &
+            (df["volume"] > df["vol_mean"]),
+            "buy"
+        ] = 1
+
+    def populate_sell_trend(self, df: pd.DataFrame, metadata: dict):
+        df.loc[df["ema_fast"] < df["ema_slow"], "sell"] = 1