dienakdz
87f2845483
- Cleaned up whitespace and formatting in various files including http.py, language.py, logger.py, safe_exec.py, and SQL migration scripts. - Consolidated import statements and removed unnecessary blank lines. - Updated logging configuration for better clarity. - Enhanced the safe execution code with improved error handling and logging. - Removed commented-out code and unnecessary variables in backfill_zero_trades.py and other scripts. - Added a pyproject.toml for Ruff and Vulture configuration. - Introduced requirements-dev.txt for development dependencies. - Removed commented-out stock entries in init.sql for cleaner migration scripts.
56 lines
2.1 KiB
Python
56 lines
2.1 KiB
Python
# ============================================================
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# 双均线策略 (支持外部参数配置)
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# Dual Moving Average Strategy with External Parameters
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# ============================================================
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#
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# 使用方法:
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# 1. 在交易助手中选择此指标
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# 2. 根据不同币种配置不同参数
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# - BTC/USDT: sma_short=5, sma_long=10
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# - ETH/USDT: sma_short=5, sma_long=20
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#
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# ============================================================
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# === 参数声明 (会在前端表单中显示) ===
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# @param sma_short int 14 短期均线周期
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# @param sma_long int 28 长期均线周期
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# === 获取参数 (带默认值作为后备) ===
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sma_short_period = params.get('sma_short', 14)
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sma_long_period = params.get('sma_long', 28)
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# === 指标信息 ===
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my_indicator_name = "双均线策略"
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my_indicator_description = f"短期{sma_short_period}/长期{sma_long_period}均线交叉策略"
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# === 计算均线 ===
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df = df.copy()
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sma_short = df["close"].rolling(sma_short_period).mean()
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sma_long = df["close"].rolling(sma_long_period).mean()
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# === 生成买卖信号 ===
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# 金叉：短期均线上穿长期均线
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buy = (sma_short > sma_long) & (sma_short.shift(1) <= sma_long.shift(1))
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# 死叉：短期均线下穿长期均线
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sell = (sma_short < sma_long) & (sma_short.shift(1) >= sma_long.shift(1))
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df["buy"] = buy.fillna(False).astype(bool)
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df["sell"] = sell.fillna(False).astype(bool)
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# === 买卖标记点 (用于K线图显示) ===
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buy_marks = [df["low"].iloc[i] * 0.995 if df["buy"].iloc[i] else None for i in range(len(df))]
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sell_marks = [df["high"].iloc[i] * 1.005 if df["sell"].iloc[i] else None for i in range(len(df))]
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# === 图表输出配置 ===
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output = {
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"name": my_indicator_name,
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"plots": [
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{"name": f"SMA{sma_short_period}", "data": sma_short.tolist(), "color": "#FF9800", "overlay": True},
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{"name": f"SMA{sma_long_period}", "data": sma_long.tolist(), "color": "#3F51B5", "overlay": True}
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],
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"signals": [
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{"type": "buy", "text": "B", "data": buy_marks, "color": "#00E676"},
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{"type": "sell", "text": "S", "data": sell_marks, "color": "#FF5252"}
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]
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}
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