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GitHubandClaude Opus 4.7
bcddf5a052
Integrate MyTT library to provide 30 technical indicators (MACD, KDJ, RSI, BOLL, DMI, ATR, etc.) accessible via API and CLI with automatic EMA warm-up. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
51 lines
1.8 KiB
Python
51 lines
1.8 KiB
Python
"""演示：列出所有可用技术指标及其参数。
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使用 list_indicators() 查看所有支持的指标名称、输入需求、输出列和默认参数。
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无需网络连接。
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"""
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from easy_tdx.indicator import list_indicators
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indicators = list_indicators()
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print(f"共 {len(indicators)} 个技术指标\n")
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# 按所需输入列分组展示
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groups: dict[str, list[dict]] = {}
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for info in indicators:
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key = "+".join(info["inputs"])
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groups.setdefault(key, []).append(info)
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for inputs, items in groups.items():
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print(f"── 输入: {inputs} {'─' * 50}")
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for item in items:
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params_str = (
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", ".join(f"{k}={v}" for k, v in item["default_params"].items())
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if item["default_params"]
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else ""
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)
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outputs_str = ", ".join(item["outputs"])
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line = f" {item['name']:<8} {item['description']}"
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if params_str:
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line += f" (默认: {params_str})"
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print(line)
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print(f" 输出: {outputs_str}")
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print()
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# 运行结果:
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# 共 30 个技术指标
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#
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# ── 输入: close ──────────────────────────────────────────────────────────
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# MACD MACD 指数平滑异同移动平均线 (默认: SHORT=12, LONG=26, M=9)
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# 输出: MACD_DIF, MACD_DEA, MACD_HIST
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# RSI RSI 相对强弱指标 (默认: N=24)
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# 输出: RSI
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# BOLL BOLL 布林带 (默认: N=20, P=2)
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# 输出: BOLL_UPPER, BOLL_MID, BOLL_LOWER
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# ...
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#
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# ── 输入: close+high+low ────────────────────────────────────────────────
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# KDJ KDJ 随机指标 (默认: N=9, M1=3, M2=3)
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# 输出: KDJ_K, KDJ_D, KDJ_J
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# ...
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