add fx strentth
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+19
-5
@@ -220,11 +220,19 @@ def analyze_chan(df):
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klc_fx_info = []
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for klc in klc_list:
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if hasattr(klc, 'klc_fx_type') and klc.klc_fx_type != Chan_KLC_FX.UNKNOWN:
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# 计算分型强度
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fx_strength = klc.calculate_fx_strength()
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fx_strength_level = klc.get_fx_strength_level()
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is_strong_fx = klc.is_strong_fx()
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klc_fx_info.append({
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'time': klc.end_time,
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'price': klc.low if klc.fx == Chan_FX_TYPE.BOTTOM else klc.high,
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'fx_type': str(klc.klc_fx_type).replace("Chan_KLC_FX.", ""),
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'is_bottom': klc.fx == Chan_FX_TYPE.BOTTOM
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'is_bottom': klc.fx == Chan_FX_TYPE.BOTTOM,
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'fx_strength': fx_strength, # 分型强度分数 (0-100)
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'fx_strength_level': fx_strength_level, # 分型强度等级 (极强/强/中等/弱/极弱)
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'is_strong_fx': is_strong_fx # 是否为强分型
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})
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return {
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@@ -479,9 +487,12 @@ def analyze():
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# 添加K线分型信息
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'klc_fx_info': [{
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'time': format_time_safely(point['time'], client_tz),
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'price': point['price'],
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'price': float(point['price']),
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'fx_type': point['fx_type'],
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'is_bottom': point['is_bottom']
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'is_bottom': bool(point['is_bottom']),
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'fx_strength': float(point['fx_strength']), # 分型强度分数
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'fx_strength_level': str(point['fx_strength_level']), # 分型强度等级
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'is_strong_fx': bool(point['is_strong_fx']) # 是否为强分型
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} for point in analysis_result['klc_fx_info']]
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})
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else:
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@@ -546,9 +557,12 @@ def analyze():
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# 添加小周期分型信息
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result['element_klc_fx_info'] = [{
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'time': format_time_safely(point['time'], client_tz),
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'price': point['price'],
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'price': float(point['price']),
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'fx_type': point['fx_type'],
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'is_bottom': point['is_bottom']
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'is_bottom': bool(point['is_bottom']),
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'fx_strength': float(point['fx_strength']), # 分型强度分数
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'fx_strength_level': str(point['fx_strength_level']), # 分型强度等级
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'is_strong_fx': bool(point['is_strong_fx']) # 是否为强分型
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} for point in element_analysis['klc_fx_info']]
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print(f"小周期分析完成: {element_timeframe}, 笔数量: {len(result['element_bi_list'])}, {'仅元素数据' if elements_only else '包含主周期数据'}")
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