Merge pull request #14 from jackyu66git/dev

Dev
This commit is contained in:
jackyu66git
2026-03-15 17:09:49 +08:00
committed by GitHub
6 changed files with 573 additions and 25 deletions
+25
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@@ -355,5 +355,30 @@ class Chan_DATA_FIELD:
FIELD_TURNOVER = "turnover" # 成交额
FIELD_TURNRATE = "turnover_rate" # 换手率
class Chan_KLC_STATE:
"""笔当下状态(缠论笔定理)。任意时刻必属其一。"""
FX = auto() # 分型构造中(未确认顶/底)
BI = auto() # 笔延伸中(分型已确认,笔在延伸)
UP = auto() # 顶分型构造中 (1,0):向上笔末端
DOWN = auto() # 底分型构造中 (-1,0):向下笔末端
# 笔定理四状态:(Chan_BI_DIR, Chan_KLC_STATE)。笔方向用 Chan_BI_DIR,阶段用 Chan_KLC_STATE。
# (UP, BI) 向上笔延伸;(DOWN, BI) 向下笔延伸;(UP, UP) 向上笔顶分型构造;(DOWN, DOWN) 向下笔底分型构造
def bi_theorem_state(direction: Chan_BI_DIR, phase: Literal[0, 1]) -> tuple[Chan_BI_DIR, int]:
"""(direction, phase) -> (Chan_BI_DIR, Chan_KLC_STATE)。phase 0=分型构造中,1=笔延伸中。"""
if phase == 1:
return (direction, Chan_KLC_STATE.BI)
return (direction, Chan_KLC_STATE.UP if direction == Chan_BI_DIR.UP else Chan_KLC_STATE.DOWN)
# 笔定理状态转移:当前 (Chan_BI_DIR, Chan_KLC_STATE) 允许的下一状态列表
# (UP,BI) 只能 -> (UP,UP)(DOWN,BI) 只能 -> (DOWN,DOWN)(UP,UP) 可 -> (UP,BI)|(DOWN,BI)(DOWN,DOWN) 可 -> (DOWN,BI)|(UP,BI)
Chan_BI_STATE_TRANSITIONS: dict[tuple[Chan_BI_DIR, int], list[tuple[Chan_BI_DIR, int]]] = {
(Chan_BI_DIR.UP, Chan_KLC_STATE.BI): [(Chan_BI_DIR.UP, Chan_KLC_STATE.UP)],
(Chan_BI_DIR.DOWN, Chan_KLC_STATE.BI): [(Chan_BI_DIR.DOWN, Chan_KLC_STATE.DOWN)],
(Chan_BI_DIR.UP, Chan_KLC_STATE.UP): [(Chan_BI_DIR.UP, Chan_KLC_STATE.BI), (Chan_BI_DIR.DOWN, Chan_KLC_STATE.BI)],
(Chan_BI_DIR.DOWN, Chan_KLC_STATE.DOWN): [(Chan_BI_DIR.DOWN, Chan_KLC_STATE.BI), (Chan_BI_DIR.UP, Chan_KLC_STATE.BI)],
}
Chan_TRADE_INFO_LST = [Chan_DATA_FIELD.FIELD_VOLUME, Chan_DATA_FIELD.FIELD_TURNOVER, Chan_DATA_FIELD.FIELD_TURNRATE]
+3
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@@ -326,6 +326,7 @@ class ChanKLC():
self.end_klu = klu
self.end_time = klu.time
self.close = klu.close
for klu in self.klu_list:
if klu.exception:
self.exception = True
@@ -348,6 +349,8 @@ class ChanKLC():
self.close = self.low
if self.close > self.high:
self.close = self.high
#print(self.end_time, self.open, self.close, self.high, self.low)
#print(klu.time, klu.open, klu.close, klu.high, klu.low)
def cal_fx(self):
if self.klc_fx_type == Chan_KLC_FX.TOP1 or self.klc_fx_type == Chan_KLC_FX.TOP2:
#print(self.end_time, self.fx, self.macd, self.macdhist, len(self.klu_list))
+10 -9
View File
@@ -592,7 +592,6 @@ class TF_DF():
ema_down_list.append(ema_down_count)
#print(last_klu.time, ema_down_count, "DOWN END")
ema_down_count = 0
last_klu = klu
if len(klc_list) > 0:
last_klc = klc_list[-1]
if klu.exception:
@@ -920,11 +919,11 @@ class TF_DF():
bi_klc_min = 4
for klc in klc_list:
fx = self.check_fx(klc)
if fx == Chan_FX_TYPE.TOP:
if fx == Chan_FX_TYPE.TOP and False:
if last_bottom:
if self.check_top_fx(last_bottom, klc) == False:
fx = Chan_FX_TYPE.UNKNOWN
if fx == Chan_FX_TYPE.BOTTOM:
if fx == Chan_FX_TYPE.BOTTOM and False:
if last_top:
if self.check_bottom_fx(last_top, klc) == False:
#print(klc.end_time, last_top.end_time, "---")
@@ -987,7 +986,7 @@ class TF_DF():
if last_top.high > klc.high:
bi_list[-1].add_klc(klc)
klc.set_bi(bi_list[-1])
#klc.set_klc_fx_type(Chan_KLC_FX.TOP3)
klc.set_klc_fx_type(Chan_KLC_FX.TOP3)
#print(klc.end_time, klc.fx, "二类卖点Sell 1")
else:
# A new top found
@@ -1001,11 +1000,12 @@ class TF_DF():
klc.set_bi(bi_list[-1])
# 不满足结合律的分型
else:
klc.set_klc_fx_type(Chan_KLC_FX.TOP0)
#klc.set_klc_fx_type(Chan_KLC_FX.TOP0)
print(klc.end_time, klc.klc_fx_type)
if last_bottom.index + bi_klc_min > klc.index:
if last_top.high > klc.high:
#print(klc.start_time, klc.fx, "二类卖点Sell 1")
#klc.set_fx(Chan_FX_TYPE.PTOP)
klc.set_klc_fx_type(Chan_KLC_FX.TOP8)
bi_list[-1].add_klc(klc)
klc.set_bi(bi_list[-1])
# New TOP Found前面的UKNOWN可能出现TOP7,但是这里的也可能出现TOP8分型
@@ -1104,7 +1104,7 @@ class TF_DF():
if last_bottom.low < klc.low:
bi_list[-1].add_klc(klc)
klc.set_bi(bi_list[-1])
#klc.set_klc_fx_type(Chan_KLC_FX.BOTTOM3)
klc.set_klc_fx_type(Chan_KLC_FX.BOTTOM3)
#print(last_bottom.start_time, last_bottom.end_time, "--------------------------------1")
#print(klc.end_time, klc.fx, "二类买点Buy 1")
else:
@@ -1118,12 +1118,14 @@ class TF_DF():
klc.set_bi(bi_list[-1])
# 不满足结合律的分型
else:
klc.set_klc_fx_type(Chan_KLC_FX.TOP0)
#klc.set_klc_fx_type(Chan_KLC_FX.BOTTOM0)
#print(klc.end_time, klc.klc_fx_type)
if last_top.index + bi_klc_min > klc.index:
if last_bottom.low < klc.low:
#print(klc.end_time, klc.fx, "中枢买点Buy 1")
bi_list[-1].add_klc(klc)
klc.set_bi(bi_list[-1])
klc.set_klc_fx_type(Chan_KLC_FX.BOTTOM8)
# Found new bottom没有意义,上面UNKNOWN的时候已经是笔破坏了
else:
#print(klc.end_time, last_bottom.end_time, "Found a new bottom")
@@ -1156,7 +1158,6 @@ class TF_DF():
if not last_bi.is_sure:
last_bi.set_end_klc(last_top, klc)
bi = ChanBI(last_top, len(bi_list), Chan_BI_DIR.DOWN)
#klc.set_klc_fx_type(Chan_KLC_FX.TOP6)
last_bi.set_next(bi)
bi.set_pre(last_bi)
bi.add_klc(klc)
+112 -1
View File
@@ -1180,6 +1180,16 @@ def index():
else:
default_element = default_main
# 次次周期默认比次周期小一档
if timeframe_keys:
try:
idx_el = timeframe_keys.index(default_element)
default_sub_sub = timeframe_keys[idx_el - 1] if idx_el > 0 else timeframe_keys[0]
except ValueError:
default_sub_sub = timeframe_keys[0]
else:
default_sub_sub = default_element
default_symbol = 'BTC/USDT:USDT' if 'BTC/USDT:USDT' in symbols else (symbols[0] if symbols else '')
return render_template(
@@ -1189,6 +1199,7 @@ def index():
a_stock_symbols=A_STOCK_SYMBOLS,
default_main_timeframe=default_main,
default_element_timeframe=default_element,
default_sub_sub_timeframe=default_sub_sub,
default_symbol=default_symbol,
timeframe_keys_json=json.dumps(timeframe_keys),
data_service_available=DATA_SERVICE_AVAILABLE,
@@ -1211,8 +1222,9 @@ def analyze():
# 获取客户端请求的时区
client_timezone = request.args.get('timezone', 'Asia/Shanghai')
# 获取分形元素时间周期
# 获取分形元素时间周期与次次周期
element_timeframe = request.args.get('element_timeframe')
sub_sub_timeframe = request.args.get('sub_sub_timeframe')
# 获取是否只需要分形元素数据的参数
elements_only_param = request.args.get('elements_only')
@@ -1221,6 +1233,9 @@ def analyze():
# 验证小周期是否小于主周期
if element_timeframe and not is_smaller_or_equal_timeframe(element_timeframe, timeframe):
return jsonify({'error': '分形元素时间周期必须小于或等于主图表时间周期'})
# 验证次次周期是否小于等于次周期
if sub_sub_timeframe and element_timeframe and not is_smaller_or_equal_timeframe(sub_sub_timeframe, element_timeframe):
return jsonify({'error': '次次周期必须小于或等于次周期'})
# 获取数据
df = get_kl_data(symbol, timeframe, start_time=start_time, end_time=end_time)
@@ -1597,6 +1612,102 @@ def analyze():
'zs_count': int(bsp.zs_count) if hasattr(bsp, 'zs_count') else 0
} for bsp in element_analysis.get('bsp_list', [])]
# 次次周期:仅当已指定次周期且次次周期有效时获取
if sub_sub_timeframe and is_smaller_or_equal_timeframe(sub_sub_timeframe, element_timeframe):
sub_sub_df = get_kl_data(symbol, sub_sub_timeframe, start_time=start_time, end_time=end_time)
if sub_sub_df is not None and len(sub_sub_df) > 0:
sub_sub_df = add_indicators(sub_sub_df)
sub_sub_analysis = analyze_chan(sub_sub_df, symbol, sub_sub_timeframe)
result['sub_sub_timeframe'] = sub_sub_timeframe
result['sub_sub_bi_list'] = [{
'start_time': bi.start_klc.end_time if isinstance(bi.start_klc.end_time, str) else bi.start_klc.end_time.astimezone(client_tz).isoformat(),
'end_time': (bi.end_klc.end_time if isinstance(bi.end_klc.end_time, str) else bi.end_klc.end_time.astimezone(client_tz).isoformat()) if bi.end_klc else None,
'sure_time': format_time_safely(bi.sure_time, client_tz) if bi.sure_time else None,
'start_price': bi.start_klc.low if convert_direction(bi.dir) == 1 else bi.start_klc.high,
'end_price': bi.end_klc.high if convert_direction(bi.dir) == 1 else bi.end_klc.low if bi.end_klc else None,
'direction': convert_direction(bi.dir),
'macd_div': float(bi.macd_div) if hasattr(bi, 'macd_div') else 0
} for bi in sub_sub_analysis['bi_list'] if bi.end_klc]
result['sub_sub_uncompleted_bi_list'] = [{
'start_time': bi.start_klc.end_time if isinstance(bi.start_klc.end_time, str) else bi.start_klc.end_time.astimezone(client_tz).isoformat(),
'end_time': None,
'sure_time': format_time_safely(bi.sure_time, client_tz) if bi.sure_time else None,
'start_price': bi.start_klc.low if convert_direction(bi.dir) == 1 else bi.start_klc.high,
'end_price': None,
'direction': convert_direction(bi.dir),
'macd_div': float(bi.macd_div) if hasattr(bi, 'macd_div') else 0
} for bi in sub_sub_analysis['bi_list'] if not bi.end_klc]
result['sub_sub_seg_list'] = [{
'start_time': seg.start_bi.start_klc.end_time if isinstance(seg.start_bi.start_klc.end_time, str) else seg.start_bi.start_klc.end_time.astimezone(client_tz).isoformat(),
'end_time': (seg.end_bi.end_klc.end_time if isinstance(seg.end_bi.end_klc.end_time, str) else seg.end_bi.end_klc.end_time.astimezone(client_tz).isoformat()) if seg.end_bi else None,
'sure_time': format_time_safely(seg.sure_time, client_tz) if seg.sure_time else None,
'start_price': seg.start_bi.start_klc.low if convert_direction(seg.dir) == 1 else seg.start_bi.start_klc.high,
'end_price': seg.end_bi.end_klc.high if convert_direction(seg.dir) == 1 else seg.end_bi.end_klc.low if seg.end_bi else None,
'direction': convert_direction(seg.dir)
} for seg in sub_sub_analysis['seg_list'] if seg.is_sure]
result['sub_sub_uncompleted_seg_list'] = get_uncompleted_seg_list(sub_sub_analysis['seg_list'], client_tz)
result['sub_sub_zs_list'] = [{
'start_time': zs.start_klc.end_time if isinstance(zs.start_klc.end_time, str) else zs.start_klc.end_time.astimezone(client_tz).isoformat(),
'end_time': (zs.end_klc.end_time if isinstance(zs.end_klc.end_time, str) else zs.end_klc.end_time.astimezone(client_tz).isoformat()) if zs.end_klc else None,
'zg': zs.zg, 'zd': zs.zd, 'gg': zs.gg, 'dd': zs.dd, 'is_sure': zs.is_sure
} for zs in sub_sub_analysis['zs_list'] if zs.end_klc]
result['sub_sub_uncompleted_zs_list'] = [{
'start_time': zs.start_klc.end_time if isinstance(zs.start_klc.end_time, str) else zs.start_klc.end_time.astimezone(client_tz).isoformat(),
'end_time': None, 'zg': zs.zg, 'zd': zs.zd, 'gg': zs.gg, 'dd': zs.dd, 'is_sure': zs.is_sure
} for zs in sub_sub_analysis['zs_list'] if not zs.is_sure]
result['sub_sub_bi_zs_list'] = [{
'start_time': (
(zs.start_klc.end_time if isinstance(zs.start_klc.end_time, str) else zs.start_klc.end_time.astimezone(client_tz).isoformat())
if getattr(zs.start_klc, 'end_time', None) else
(zs.start_klc.start_time if isinstance(zs.start_klc.start_time, str) else zs.start_klc.start_time.astimezone(client_tz).isoformat())
),
'end_time': (zs.end_time if isinstance(zs.end_time, str) else zs.end_time.astimezone(client_tz).isoformat()) if getattr(zs, 'end_time', None) else None,
'zg': zs.zg, 'zd': zs.zd, 'gg': zs.gg, 'dd': zs.dd, 'is_sure': bool(getattr(zs, 'is_sure', False))
} for zs in sub_sub_analysis.get('bi_zs_list', []) if getattr(zs, 'is_sure', False)]
result['sub_sub_uncompleted_bi_zs_list'] = [{
'start_time': (
(zs.start_klc.end_time if isinstance(zs.start_klc.end_time, str) else zs.start_klc.end_time.astimezone(client_tz).isoformat())
if getattr(zs.start_klc, 'end_time', None) else
(zs.start_klc.start_time if isinstance(zs.start_klc.start_time, str) else zs.start_klc.start_time.astimezone(client_tz).isoformat())
),
'end_time': None, 'zg': zs.zg, 'zd': zs.zd, 'gg': zs.gg, 'dd': zs.dd, 'is_sure': bool(getattr(zs, 'is_sure', False))
} for zs in sub_sub_analysis.get('bi_zs_list', []) if not getattr(zs, 'is_sure', False)]
result['sub_sub_klc_fx_info'] = [{
'time': format_time_safely(point['time'], client_tz),
'price': float(point['price']),
'fx_type': point['fx_type'],
'is_bottom': bool(point['is_bottom']),
'fx_strength': float(point['fx_strength']),
'fx_strength_level': str(point['fx_strength_level']),
'is_strong_fx': bool(point['is_strong_fx'])
} for point in sub_sub_analysis['klc_fx_info']]
result['sub_sub_bsp_list'] = [{
'time': format_time_safely(bsp.end_time, client_tz),
'price': float(bsp.klc.low if str(bsp.dir) == 'Chan_BSP_DIR.BUY' else bsp.klc.high),
'type': str(bsp.type).replace('Chan_BSP_TYPE.', ''),
'dir': str(bsp.dir).replace('Chan_BSP_DIR.', ''),
'is_sure': bool(bsp.is_sure),
'sure_time': format_time_safely(bsp.sure_time, client_tz) if bsp.sure_time else None,
'zs_count': int(bsp.zs_count) if hasattr(bsp, 'zs_count') else 0
} for bsp in sub_sub_analysis.get('bsp_list', [])]
result['sub_sub_chan_macd'] = serialize_chan_macd_data(sub_sub_analysis.get('chan_macd', {}), client_tz)
try:
sub_sub_klc_trend = []
for klc in sub_sub_analysis.get('klc_list', []):
trend_val = getattr(klc, 'trend', None)
t_obj = getattr(klc, 'end_time', None) or getattr(klc, 'start_time', None)
if trend_val is None or t_obj is None:
continue
trend_name = str(trend_val)
if '.' in trend_name:
trend_name = trend_name.split('.')[-1]
time_str = format_time_safely(t_obj, client_tz)
if time_str:
sub_sub_klc_trend.append({'time': time_str, 'trend': trend_name})
result['sub_sub_klc_trend'] = sub_sub_klc_trend
except Exception:
result['sub_sub_klc_trend'] = []
pass
return jsonify(result)
+412 -15
View File
@@ -20,6 +20,7 @@
window.AVAILABLE_TIMEFRAMES = JSON.parse('{{ timeframe_keys_json | safe }}');
window.DEFAULT_MAIN_TIMEFRAME = "{{ default_main_timeframe }}";
window.DEFAULT_ELEMENT_TIMEFRAME = "{{ default_element_timeframe }}";
window.DEFAULT_SUB_SUB_TIMEFRAME = "{{ default_sub_sub_timeframe }}";
window.timeframeToMs = function(tf) {
if (!tf) return null;
var unit = tf.slice(-1);
@@ -959,6 +960,48 @@
<label class="form-check-label" for="showElementBsp">买卖点</label>
</div>
</div>
<div class="d-flex align-items-center mt-2">
<label class="form-label me-0 mb-0">次次周期:</label>
<div class="form-check form-check-inline">
<select id="subSubTimeframe" class="form-select form-select-sm me-2" style="width: 100px;">
{% for value, label in timeframes.items() %}
<option value="{{ value }}" {% if value == default_sub_sub_timeframe %}selected{% endif %}>{{ label }}</option>
{% endfor %}
</select>
</div>
<div class="form-check form-check-inline">
<input class="form-check-input" type="checkbox" id="showSubSubBi">
<label class="form-check-label" for="showSubSubBi"></label>
</div>
<div class="form-check form-check-inline">
<input class="form-check-input" type="checkbox" id="showSubSubSeg">
<label class="form-check-label" for="showSubSubSeg">线段</label>
</div>
<div class="form-check form-check-inline">
<input class="form-check-input" type="checkbox" id="showSubSubZs">
<label class="form-check-label" for="showSubSubZs">SEG中枢</label>
</div>
<div class="form-check form-check-inline">
<input class="form-check-input" type="checkbox" id="showSubSubBiZs">
<label class="form-check-label" for="showSubSubBiZs">BI中枢</label>
</div>
<div class="form-check form-check-inline">
<input class="form-check-input" type="checkbox" id="showSubSubKlcFxType">
<label class="form-check-label" for="showSubSubKlcFxType">KLC分型</label>
</div>
<div class="form-check form-check-inline">
<input class="form-check-input" type="checkbox" id="showSubSubTrend">
<label class="form-check-label" for="showSubSubTrend">Trend</label>
</div>
<div class="form-check form-check-inline">
<input class="form-check-input" type="checkbox" id="toggleUOnSubSub">
<label class="form-check-label" for="toggleUOnSubSub">显示U</label>
</div>
<div class="form-check form-check-inline">
<input class="form-check-input" type="checkbox" id="showSubSubBsp">
<label class="form-check-label" for="showSubSubBsp">买卖点</label>
</div>
</div>
</div>
</div>
</div>
@@ -1509,6 +1552,10 @@
elementSegSeries: [],
elementZsSeries: [],
elementUncompletedZsSeries: [],
subSubBiSeries: [],
subSubSegSeries: [],
subSubZsSeries: [],
subSubUncompletedZsSeries: [],
mainBollingerSeries: [],
elementBollingerSeries: [],
maSeries: [], // 添加均线系列
@@ -1763,6 +1810,14 @@
console.log('次BI中枢切换为:', $('#showElementBiZs').is(':checked'));
updateChartDisplay();
});
// 次次周期显示开关变更事件
$('#showSubSubBi, #showSubSubSeg, #showSubSubZs, #showSubSubBiZs, #showSubSubKlcFxType, #showSubSubTrend, #showSubSubBsp').change(function() {
updateChartDisplay();
});
$(document).on('change', '#toggleUOnSubSub', function() {
window.showUOnSubSub = $('#toggleUOnSubSub').is(':checked');
updateChartDisplay();
});
// 买卖点复选框已移除
@@ -1790,9 +1845,30 @@
setSmallerOrEqualTimeframe(); // 重置为最大的小于等于时间周期
return;
}
// 次次周期必须小于等于次周期
ensureSubSubLteElement();
console.log(`当前选择的元素时间周期: ${elementTimeframe},需要点击分析按钮来应用更改`);
});
// 次次周期变更时校验 <= 次周期
$('#subSubTimeframe').change(function() {
const subSub = $(this).val();
const elementTf = $('#elementTimeframe').val();
if (compareTimeframes(subSub, elementTf) > 0) {
alert('次次周期必须小于或等于次周期。');
ensureSubSubLteElement();
return;
}
});
function ensureSubSubLteElement() {
const timeframes = window.AVAILABLE_TIMEFRAMES || [];
const elementTf = $('#elementTimeframe').val();
const subSubTf = $('#subSubTimeframe').val();
if (compareTimeframes(subSubTf, elementTf) > 0) {
const idxEl = timeframes.indexOf(elementTf);
const validSubSub = idxEl > 0 ? timeframes[idxEl - 1] : timeframes[0];
$('#subSubTimeframe').val(validSubSub || elementTf);
}
}
// 比较两个时间周期的大小
function compareTimeframes(tf1, tf2) {
@@ -1825,7 +1901,7 @@
$('#elementTimeframe').val(mainTimeframe);
}
// 当主时间周期变更时,确保分形元素时间周期正确
// 当主时间周期变更时,确保分形元素时间周期、次次周期正确
$('#timeframe').change(function() {
const mainTimeframe = $(this).val();
const elementTimeframe = $('#elementTimeframe').val();
@@ -1833,6 +1909,7 @@
if (compareTimeframes(elementTimeframe, mainTimeframe) > 0) {
setSmallerOrEqualTimeframe(mainTimeframe);
}
ensureSubSubLteElement();
});
function updateChartDisplay() {
if (currentData) {
@@ -1982,6 +2059,7 @@
const timeframe = $('#timeframe').val() || window.DEFAULT_MAIN_TIMEFRAME || '5m';
const timezone = $('#timezone').val() || 'Asia/Shanghai';
const elementTimeframe = $('#elementTimeframe').val() || window.DEFAULT_ELEMENT_TIMEFRAME || '1m';
const subSubTimeframe = $('#subSubTimeframe').val() || '';
// 确保时区参数有效
console.log('更新图表使用时区:', timezone);
@@ -2017,6 +2095,7 @@
timeframe: timeframe,
timezone: timezone,
element_timeframe: elementTimeframe,
sub_sub_timeframe: subSubTimeframe || undefined,
start_time: startTimeMs,
end_time: endTimeMs,
elements_only: false
@@ -2189,6 +2268,12 @@
elementUncompletedSegSeries: [],
elementZsSeries: [],
elementUncompletedZsSeries: [],
subSubBiSeries: [],
subSubUncompletedBiSeries: [],
subSubSegSeries: [],
subSubUncompletedSegSeries: [],
subSubZsSeries: [],
subSubUncompletedZsSeries: [],
tradePointSeries: [],
mainBollingerSeries: [],
elementBollingerSeries: [],
@@ -2751,6 +2836,9 @@
if (typeof window.showUOnElement === 'undefined') {
window.showUOnElement = $('#toggleUOnElement').is(':checked');
}
if (typeof window.showUOnSubSub === 'undefined') {
window.showUOnSubSub = $('#toggleUOnSubSub').is(':checked');
}
if (showMacd && chanMacdChart && ((useElementPeriod && currentData.element_macd) || currentData.macd) && (useElementPeriod ? currentData.element_kline_data : currentData.kline_data)) {
console.log('✅ 开始创建 ChanMACD 系列');
// 创建ChanMACD线系列
@@ -2973,6 +3061,31 @@
});
}
const subSubCm = currentData.sub_sub_chan_macd || {};
const subSubMarkers = [];
const subSubMacdMap = buildMacdTimeMap(currentData.macd, currentData.kline_data);
if (window.showUOnSubSub && Array.isArray(subSubCm.klu_list)) {
subSubCm.klu_list.forEach((item) => {
if (!item || !item.time) return;
const ts = Math.floor(new Date(item.time).getTime() / 1000);
if (isNaN(ts)) return;
if (Number(item.separate_div) > 0) {
const macdVal = subSubMacdMap.get(ts);
const posSd = (macdVal > 0) ? 'aboveBar' : (macdVal < 0) ? 'belowBar' : 'aboveBar';
subSubMarkers.push({ time: ts, position: posSd, color: '#00897b', shape: 'arrowUp', text: `SD${Number(item.separate_div)}`, size: 0.6 });
}
if (item.continue_div === true) {
const macdVal = subSubMacdMap.get(ts);
const posCd = (macdVal > 0) ? 'aboveBar' : (macdVal < 0) ? 'belowBar' : 'belowBar';
subSubMarkers.push({ time: ts, position: posCd, color: '#26a69a', shape: 'arrowDown', text: 'CD', size: 0.6 });
}
if (item.near0_return && Number(item.near0_return) > 0) {
subSubMarkers.push({ time: ts, position: 'belowBar', color: '#00695c', shape: 'circle', text: `${Number(item.near0_return)}`, size: 0.6 });
}
});
}
window.kluDivMarkersSubSub = subSubMarkers;
// 保存到全局,供主图合并标记使用
window.kluDivMarkersMain = mainMarkers;
window.kluDivMarkersElement = elementMarkers;
@@ -2980,12 +3093,14 @@
console.warn('处理 KLU 背驰标记出错:', e);
window.kluDivMarkersMain = [];
window.kluDivMarkersElement = [];
window.kluDivMarkersSubSub = [];
}
} else {
console.log('⚠️ 没有ChanMACD分析数据');
// 无数据时清空本次的 KLU 背驰标记
window.kluDivMarkersMain = [];
window.kluDivMarkersElement = [];
window.kluDivMarkersSubSub = [];
}
} else {
console.log('⚠️ ChanMACD图表创建条件不满足');
@@ -3057,10 +3172,30 @@
}
window.kluDivMarkersMain = mainMarkersAll;
window.kluDivMarkersElement = elementMarkersAll;
const subSubCmAll = currentData.sub_sub_chan_macd || {};
const subSubMarkersAll = [];
if (window.showUOnSubSub && Array.isArray(subSubCmAll.klu_list)) {
subSubCmAll.klu_list.forEach((item) => {
if (!item || !item.time) return;
const ts = Math.floor(new Date(item.time).getTime() / 1000);
if (isNaN(ts)) return;
if (Number(item.separate_div) > 0) {
subSubMarkersAll.push({ time: ts, position: 'aboveBar', color: '#00897b', shape: 'arrowUp', text: `SD${Number(item.separate_div)}`, size: 0.6 });
}
if (item.continue_div === true) {
subSubMarkersAll.push({ time: ts, position: 'belowBar', color: '#26a69a', shape: 'arrowDown', text: 'CD', size: 0.6 });
}
if (item.near0_return && Number(item.near0_return) > 0) {
subSubMarkersAll.push({ time: ts, position: 'belowBar', color: '#00695c', shape: 'circle', text: `${Number(item.near0_return)}`, size: 0.6 });
}
});
}
window.kluDivMarkersSubSub = subSubMarkersAll;
} catch (e) {
console.warn('独立计算 KLU 背驰标记出错:', e);
window.kluDivMarkersMain = [];
window.kluDivMarkersElement = [];
window.kluDivMarkersSubSub = [];
}
// 实现三图联动滚动
@@ -3300,8 +3435,8 @@
}
}, 200);
});
// 显示笔的绘制 - 分别处理主周期次周期
if ($('#showMainBi').is(':checked') || $('#showElementBi').is(':checked')) {
// 显示笔的绘制 - 分别处理主周期、次周期和次次周期
if ($('#showMainBi').is(':checked') || $('#showElementBi').is(':checked') || $('#showSubSubBi').is(':checked')) {
console.log('绘制笔 - 已启用');
let biLines = [];
@@ -3588,6 +3723,49 @@
});
}
// 次次周期笔
if ($('#showSubSubBi').is(':checked') && currentData.sub_sub_bi_list && currentData.sub_sub_bi_list.length > 0) {
tvWidget.series.subSubBiSeries = [];
tvWidget.series.subSubUncompletedBiSeries = [];
currentData.sub_sub_bi_list.forEach(function(bi) {
try {
const startTime = Math.floor(new Date(bi.start_time).getTime() / 1000);
const endTime = bi.end_time ? Math.floor(new Date(bi.end_time).getTime() / 1000) : 0;
if (isNaN(startTime) || !endTime) return;
const startPrice = parseFloat(bi.start_price);
const endPrice = parseFloat(bi.end_price);
if (isNaN(startPrice) || isNaN(endPrice)) return;
biLines.push({
startTime: startTime, endTime: endTime, startPrice: startPrice, endPrice: endPrice,
color: bi.direction === 1 ? '#00897b' : '#26a69a', lineWidth: 1, lineStyle: 0
});
tvWidget.series.subSubBiSeries.push({ time: startTime, value: startPrice, color: '#00897b', lineWidth: 1 });
} catch (e) { console.error('次次周期笔处理出错:', e); }
});
}
// 次次周期未完成笔
if ($('#showSubSubBi').is(':checked') && currentData.sub_sub_uncompleted_bi_list && currentData.sub_sub_uncompleted_bi_list.length > 0) {
if (!tvWidget.series.subSubBiSeries) tvWidget.series.subSubBiSeries = [];
if (!tvWidget.series.subSubUncompletedBiSeries) tvWidget.series.subSubUncompletedBiSeries = [];
const klineData = currentData.kline_data || [];
const lastTime = klineData.length ? Math.floor(new Date(klineData[klineData.length-1].date).getTime() / 1000) : 0;
currentData.sub_sub_uncompleted_bi_list.forEach(function(bi) {
try {
const startTime = Math.floor(new Date(bi.start_time).getTime() / 1000);
if (isNaN(startTime) || !lastTime) return;
const startPrice = parseFloat(bi.start_price);
if (isNaN(startPrice)) return;
const lastK = klineData[klineData.length-1];
const endPrice = bi.direction === 1 ? parseFloat(lastK.high) : parseFloat(lastK.low);
biLines.push({
startTime: startTime, endTime: lastTime, startPrice: startPrice, endPrice: endPrice,
color: '#00695c', lineWidth: 1, lineStyle: 2
});
tvWidget.series.subSubUncompletedBiSeries.push({ time: startTime, value: startPrice, color: '#00695c', lineWidth: 1, lineStyle: 2 });
} catch (e) { console.error('次次周期未完成笔处理出错:', e); }
});
}
// 添加所有笔到图表
biLines.forEach(line => {
const lineSeries = mainChart.addLineSeries({
@@ -3606,8 +3784,8 @@
} else {
console.log('绘制笔 - 已禁用');
}
// 显示线段的绘制 - 分别处理主周期次周期
if ($('#showMainSeg').is(':checked') || $('#showElementSeg').is(':checked')) {
// 显示线段的绘制 - 分别处理主周期、次周期和次次周期
if ($('#showMainSeg').is(':checked') || $('#showElementSeg').is(':checked') || $('#showSubSubSeg').is(':checked')) {
console.log('绘制线段 - 已启用');
let segLines = [];
@@ -3865,6 +4043,54 @@
});
}
// 次次周期线段
if ($('#showSubSubSeg').is(':checked') && currentData.sub_sub_seg_list && currentData.sub_sub_seg_list.length > 0) {
tvWidget.series.subSubSegSeries = [];
tvWidget.series.subSubUncompletedSegSeries = [];
currentData.sub_sub_seg_list.forEach(function(seg) {
try {
const startTime = Math.floor(new Date(seg.start_time).getTime() / 1000);
const endTime = seg.end_time ? Math.floor(new Date(seg.end_time).getTime() / 1000) : 0;
if (isNaN(startTime) || !endTime) return;
const startPrice = parseFloat(seg.start_price);
const endPrice = parseFloat(seg.end_price);
if (isNaN(startPrice) || isNaN(endPrice)) return;
segLines.push({
startTime: startTime, endTime: endTime, startPrice: startPrice, endPrice: endPrice,
color: seg.direction === 1 ? '#00897b' : '#26a69a', lineWidth: 2, lineStyle: 0
});
tvWidget.series.subSubSegSeries.push({ time: startTime, value: startPrice, color: '#00897b', lineWidth: 2 });
} catch (e) { console.error('次次周期线段处理出错:', e); }
});
}
// 次次周期未完成线段
if ($('#showSubSubSeg').is(':checked') && currentData.sub_sub_uncompleted_seg_list && currentData.sub_sub_uncompleted_seg_list.length > 0) {
if (!tvWidget.series.subSubUncompletedSegSeries) tvWidget.series.subSubUncompletedSegSeries = [];
const klineDataSeg = currentData.kline_data || [];
const lastTimeSeg = klineDataSeg.length ? Math.floor(new Date(klineDataSeg[klineDataSeg.length-1].date).getTime() / 1000) : 0;
currentData.sub_sub_uncompleted_seg_list.forEach(function(seg) {
try {
const startTime = Math.floor(new Date(seg.start_time).getTime() / 1000);
if (isNaN(startTime) || !lastTimeSeg) return;
const startPrice = parseFloat(seg.start_price);
if (isNaN(startPrice)) return;
let endTime = lastTimeSeg, endPrice;
if (seg.end_time && seg.end_price) {
endTime = Math.floor(new Date(seg.end_time).getTime() / 1000);
endPrice = parseFloat(seg.end_price);
} else {
const lastK = klineDataSeg[klineDataSeg.length-1];
endPrice = seg.direction === 1 ? parseFloat(lastK.high) : parseFloat(lastK.low);
}
segLines.push({
startTime: startTime, endTime: endTime, startPrice: startPrice, endPrice: endPrice,
color: '#00695c', lineWidth: 2, lineStyle: 2
});
tvWidget.series.subSubUncompletedSegSeries.push({ time: startTime, value: startPrice, color: '#00695c', lineWidth: 2 });
} catch (e) { console.error('次次周期未完成线段处理出错:', e); }
});
}
// 添加所有线段到图表
segLines.forEach(line => {
const lineSeries = mainChart.addLineSeries({
@@ -3883,8 +4109,8 @@
} else {
console.log('绘制线段 - 已禁用');
}
// 显示中枢的绘制 - 分别处理主周期次周期(包含BI中枢,沿用同样样式与开关)
if ($('#showMainZs').is(':checked') || $('#showElementZs').is(':checked')) {
// 显示中枢的绘制 - 分别处理主周期、次周期和次次周期(包含BI中枢,沿用同样样式与开关)
if ($('#showMainZs').is(':checked') || $('#showElementZs').is(':checked') || $('#showSubSubZs').is(':checked')) {
console.log('绘制中枢 - 已启用');
// 主周期中枢
@@ -4162,6 +4388,25 @@
}
});
}
// 次次周期SEG中枢
if ($('#showSubSubZs').is(':checked') && currentData.sub_sub_zs_list && currentData.sub_sub_zs_list.length > 0) {
const subSubZsColor = '#00897b';
currentData.sub_sub_zs_list.forEach(function(zs) {
try {
const startTime = Math.floor(new Date(zs.start_time).getTime() / 1000);
const endTime = zs.end_time ? Math.floor(new Date(zs.end_time).getTime() / 1000) : 0;
if (isNaN(startTime) || !endTime) return;
const zg = parseFloat(zs.zg); const zd = parseFloat(zs.zd); const gg = parseFloat(zs.gg); const dd = parseFloat(zs.dd);
if (isNaN(zg) || isNaN(zd)) return;
mainChart.addLineSeries({ color: subSubZsColor, lineWidth: 1, lastValueVisible: false, priceLineVisible: false }).setData([{ time: startTime, value: zg }, { time: endTime, value: zg }]);
mainChart.addLineSeries({ color: subSubZsColor, lineWidth: 1, lastValueVisible: false, priceLineVisible: false }).setData([{ time: startTime, value: zd }, { time: endTime, value: zd }]);
mainChart.addLineSeries({ color: subSubZsColor, lineWidth: 1, lastValueVisible: false, priceLineVisible: false }).setData([{ time: startTime, value: zd }, { time: startTime, value: zg }]);
mainChart.addLineSeries({ color: subSubZsColor, lineWidth: 1, lastValueVisible: false, priceLineVisible: false }).setData([{ time: endTime, value: zd }, { time: endTime, value: zg }]);
if (!isNaN(gg) && gg > 0) mainChart.addLineSeries({ color: subSubZsColor, lineWidth: 1, lastValueVisible: false, priceLineVisible: false }).setData([{ time: startTime, value: gg }, { time: endTime, value: gg }]);
if (!isNaN(dd) && dd > 0) mainChart.addLineSeries({ color: subSubZsColor, lineWidth: 1, lastValueVisible: false, priceLineVisible: false }).setData([{ time: startTime, value: dd }, { time: endTime, value: dd }]);
} catch (e) { console.error('次次周期中枢处理出错:', e); }
});
}
} else {
console.log('绘制中枢 - 已禁用');
}
@@ -4197,6 +4442,25 @@
} catch (e) { console.error('主周期BI中枢处理出错:', e); }
});
}
if ($('#showSubSubBiZs').is(':checked') && currentData.sub_sub_bi_zs_list && currentData.sub_sub_bi_zs_list.length > 0) {
currentData.sub_sub_bi_zs_list.forEach(function(zs) {
try {
const startTime = Math.floor(new Date(zs.start_time).getTime() / 1000);
const kd = currentData.kline_data || [];
const endTime = zs.end_time ? Math.floor(new Date(zs.end_time).getTime() / 1000) : (kd.length ? Math.floor(new Date(kd[kd.length-1].date).getTime() / 1000) : 0);
if (isNaN(startTime) || !endTime) return;
const zg = parseFloat(zs.zg); const zd = parseFloat(zs.zd); const gg = parseFloat(zs.gg); const dd = parseFloat(zs.dd);
if (isNaN(zg) || isNaN(zd)) return;
const color = '#00897b';
mainChart.addLineSeries({ color, lineWidth: 1, lastValueVisible: false, priceLineVisible: false }).setData([{ time: startTime, value: zg }, { time: endTime, value: zg }]);
mainChart.addLineSeries({ color, lineWidth: 1, lastValueVisible: false, priceLineVisible: false }).setData([{ time: startTime, value: zd }, { time: endTime, value: zd }]);
mainChart.addLineSeries({ color, lineWidth: 1, lastValueVisible: false, priceLineVisible: false }).setData([{ time: startTime, value: zd }, { time: startTime, value: zg }]);
mainChart.addLineSeries({ color, lineWidth: 1, lastValueVisible: false, priceLineVisible: false }).setData([{ time: endTime, value: zd }, { time: endTime, value: zg }]);
if (!isNaN(gg) && gg > 0) mainChart.addLineSeries({ color, lineWidth: 1, lastValueVisible: false, priceLineVisible: false }).setData([{ time: startTime, value: gg }, { time: endTime, value: gg }]);
if (!isNaN(dd) && dd > 0) mainChart.addLineSeries({ color, lineWidth: 1, lastValueVisible: false, priceLineVisible: false }).setData([{ time: startTime, value: dd }, { time: endTime, value: dd }]);
} catch (e) { console.error('次次周期BI中枢处理出错:', e); }
});
}
if ($('#showElementBiZs').is(':checked') && currentData.element_bi_zs_list && currentData.element_bi_zs_list.length > 0) {
try {
console.log(`绘制次周期BI中枢数据,共${currentData.element_bi_zs_list.length}条`);
@@ -4228,11 +4492,11 @@
} catch (e) { console.error('次周期BI中枢处理出错:', e); }
});
}
// 显示未完成中枢 - 分别处理主周期次周期
if ($('#showMainZs').is(':checked') || $('#showElementZs').is(':checked')) {
// 显示未完成中枢 - 分别处理主周期、次周期和次次周期
if ($('#showMainZs').is(':checked') || $('#showElementZs').is(':checked') || $('#showSubSubZs').is(':checked')) {
console.log('绘制未完成中枢 - 已启用');
// 显示BI中枢绘制(沿用中枢样式)
if ($('#showMainBiZs').is(':checked') || $('#showElementBiZs').is(':checked')) {
if ($('#showMainBiZs').is(':checked') || $('#showElementBiZs').is(':checked') || $('#showSubSubBiZs').is(':checked')) {
console.log('绘制BI中枢 - 已启用');
// 主周期 BI 中枢
console.log('主BI开关:', $('#showMainBiZs').is(':checked'), '数据长度:', currentData.bi_zs_list ? currentData.bi_zs_list.length : 0);
@@ -4354,6 +4618,25 @@
} catch (e) { console.error('次周期未完成BI中枢处理出错:', e); }
});
}
// 次次周期 未完成 BI 中枢
if ($('#showSubSubBiZs').is(':checked') && currentData.sub_sub_uncompleted_bi_zs_list && currentData.sub_sub_uncompleted_bi_zs_list.length > 0) {
const kdBi = currentData.kline_data || [];
const endTimeBi = kdBi.length ? Math.floor(new Date(kdBi[kdBi.length-1].date).getTime() / 1000) : 0;
currentData.sub_sub_uncompleted_bi_zs_list.forEach(function(zs) {
try {
const startTime = Math.floor(new Date(zs.start_time).getTime() / 1000);
if (isNaN(startTime) || !endTimeBi) return;
const zg = parseFloat(zs.zg), zd = parseFloat(zs.zd), gg = parseFloat(zs.gg), dd = parseFloat(zs.dd);
if (isNaN(zg) || isNaN(zd)) return;
const color = '#00897b';
mainChart.addLineSeries({ color, lineWidth: 1, lastValueVisible: false, priceLineVisible: false }).setData([{ time: startTime, value: zg }, { time: endTimeBi, value: zg }]);
mainChart.addLineSeries({ color, lineWidth: 1, lastValueVisible: false, priceLineVisible: false }).setData([{ time: startTime, value: zd }, { time: endTimeBi, value: zd }]);
mainChart.addLineSeries({ color, lineWidth: 1, lastValueVisible: false, priceLineVisible: false }).setData([{ time: startTime, value: zd }, { time: startTime, value: zg }]);
if (!isNaN(gg) && gg > 0) mainChart.addLineSeries({ color, lineWidth: 1, lastValueVisible: false, priceLineVisible: false }).setData([{ time: startTime, value: gg }, { time: endTimeBi, value: gg }]);
if (!isNaN(dd) && dd > 0) mainChart.addLineSeries({ color, lineWidth: 1, lastValueVisible: false, priceLineVisible: false }).setData([{ time: startTime, value: dd }, { time: endTimeBi, value: dd }]);
} catch (e) { console.error('次次周期未完成BI中枢处理出错:', e); }
});
}
}
// 主周期未完成中枢
if ($('#showMainZs').is(':checked') && currentData.uncompleted_zs_list && currentData.uncompleted_zs_list.length > 0) {
@@ -4640,6 +4923,25 @@
}
});
}
// 次次周期未完成SEG中枢
if ($('#showSubSubZs').is(':checked') && currentData.sub_sub_uncompleted_zs_list && currentData.sub_sub_uncompleted_zs_list.length > 0) {
const kdZs = currentData.kline_data || [];
const endTimeZs = kdZs.length ? Math.floor(new Date(kdZs[kdZs.length-1].date).getTime() / 1000) : 0;
const subSubUZsColor = '#00897b';
currentData.sub_sub_uncompleted_zs_list.forEach(function(zs) {
try {
const startTime = Math.floor(new Date(zs.start_time).getTime() / 1000);
if (isNaN(startTime) || !endTimeZs) return;
const zg = parseFloat(zs.zg); const zd = parseFloat(zs.zd); const gg = parseFloat(zs.gg); const dd = parseFloat(zs.dd);
if (isNaN(zg) || isNaN(zd)) return;
mainChart.addLineSeries({ color: subSubUZsColor, lineWidth: 1, lastValueVisible: false, priceLineVisible: false }).setData([{ time: startTime, value: zg }, { time: endTimeZs, value: zg }]);
mainChart.addLineSeries({ color: subSubUZsColor, lineWidth: 1, lastValueVisible: false, priceLineVisible: false }).setData([{ time: startTime, value: zd }, { time: endTimeZs, value: zd }]);
mainChart.addLineSeries({ color: subSubUZsColor, lineWidth: 1, lastValueVisible: false, priceLineVisible: false }).setData([{ time: startTime, value: zd }, { time: startTime, value: zg }]);
if (!isNaN(gg) && gg > 0) mainChart.addLineSeries({ color: subSubUZsColor, lineWidth: 1, lastValueVisible: false, priceLineVisible: false }).setData([{ time: startTime, value: gg }, { time: endTimeZs, value: gg }]);
if (!isNaN(dd) && dd > 0) mainChart.addLineSeries({ color: subSubUZsColor, lineWidth: 1, lastValueVisible: false, priceLineVisible: false }).setData([{ time: startTime, value: dd }, { time: endTimeZs, value: dd }]);
} catch (e) { console.error('次次周期未完成中枢处理出错:', e); }
});
}
} else {
console.log('绘制未完成中枢 - 已禁用');
}
@@ -4699,8 +5001,8 @@
} catch (e) { console.error('次周期未完成BI中枢处理出错:', e); }
});
}
// 添加买卖点标记(新版:基于 bsp_list / element_bsp_list,按与 KLC 分型相同方式合并到主图标记)
if ($('#showMainBsp').is(':checked') || $('#showElementBsp').is(':checked')) {
// 添加买卖点标记(新版:基于 bsp_list / element_bsp_list / sub_sub_bsp_list,按与 KLC 分型相同方式合并到主图标记)
if ($('#showMainBsp').is(':checked') || $('#showElementBsp').is(':checked') || $('#showSubSubBsp').is(':checked')) {
console.log('绘制买卖点(BSP) - 已启用');
// BSP 样式定义
@@ -4809,6 +5111,30 @@
});
}
// 次次周期买卖点
const subSubBspList = currentData.sub_sub_bsp_list || [];
if ($('#showSubSubBsp').is(':checked') && subSubBspList.length > 0) {
subSubBspList.forEach(function(bsp) {
try {
const ts = Math.floor(new Date(bsp.time).getTime() / 1000);
if (isNaN(ts)) return;
const key = getBspStyleKey(bsp);
const style = BSP_STYLE[key] || { color: '#999', shape: 'circle', text: '?', position: 'inBar' };
const sureText = bsp.is_sure ? '' : '?';
allBspMarkers.push({
time: ts,
position: style.position,
color: '#00897b',
shape: style.shape,
text: 's' + (style.text || '?') + sureText,
size: 1
});
} catch (e) {
console.error('次次周期BSP处理出错:', e);
}
});
}
// 将 BSP 标记挂到全局,后面与 KLC 分型等标记一起合并到主系列上
if (allBspMarkers.length > 0) {
// 按时间排序(lightweight-charts 要求标记按时间升序)
@@ -5595,9 +5921,10 @@
window.mainFxMarkers = [];
window.fxMarkers = [];
}
// 绘制小周期分型标记
// 绘制小周期分型标记(含次次周期)
if (($('#showElementKlcFxType').is(':checked') && currentData.element_klc_fx_info && currentData.element_klc_fx_info.length > 0) ||
($('#showElementKluFxType').is(':checked') && currentData.element_klu_fx_info && currentData.element_klu_fx_info.length > 0)) {
($('#showElementKluFxType').is(':checked') && currentData.element_klu_fx_info && currentData.element_klu_fx_info.length > 0) ||
($('#showSubSubKlcFxType').is(':checked') && currentData.sub_sub_klc_fx_info && currentData.sub_sub_klc_fx_info.length > 0)) {
// 收集所有小周期分型标记
const allElementFxMarkers = [];
@@ -5715,6 +6042,28 @@
});
}
// 次次周期KLC分型
if ($('#showSubSubKlcFxType').is(':checked') && currentData.sub_sub_klc_fx_info && currentData.sub_sub_klc_fx_info.length > 0) {
currentData.sub_sub_klc_fx_info.forEach(function(fx) {
try {
const timestamp = Math.floor(new Date(fx.time).getTime() / 1000);
const price = parseFloat(fx.price);
if (isNaN(timestamp) || isNaN(price)) return;
const strengthColor = '#00897b';
let displayText = (fx.fx_type || '').replace("TOP", "").replace("BOTTOM", "").replace("11", "").replace("21", "").replace("3", "").replace("41", "").replace("51", "").replace("0", "");
const markerConfig = {
time: timestamp,
position: fx.is_bottom ? 'belowBar' : 'aboveBar',
color: strengthColor,
shape: 'triangle',
text: displayText || 's',
size: (fx.is_strong_fx ? 0.6 : 0.5)
};
allElementFxMarkers.push(markerConfig);
} catch (e) { console.error('绘制次次周期KLC分型标记出错:', e); }
});
}
// 将小周期分型标记添加到全局markers中以支持tooltip功能
if (window.fxMarkers) {
window.fxMarkers = [...window.fxMarkers, ...elementFxMarkers];
@@ -5794,6 +6143,29 @@
});
trendMarkersToUse = trendMarkersToUse.concat(elementMarkers);
}
if ($('#showSubSubTrend').is(':checked') && currentData.sub_sub_klc_trend && currentData.sub_sub_klc_trend.length > 0) {
const candlesTimesSs = (typeof candles !== 'undefined' && Array.isArray(candles)) ? new Set(candles.map(c => c.time)) : new Set();
const nearestTimeSs = (target) => {
if (!Array.isArray(candles) || candles.length === 0) return target;
let best = candles[0].time, bestDiff = Math.abs(best - target);
for (let i = 1; i < candles.length; i++) {
const t = candles[i].time, d = Math.abs(t - target);
if (d < bestDiff) { best = t; bestDiff = d; }
}
return best;
};
const subSubColor = '#00897b';
const subSubMarkers = currentData.sub_sub_klc_trend.map(t => {
const ts = Math.floor(new Date(t.time).getTime() / 1000);
const trendRaw = (t.trend || '').toString().toUpperCase();
const timeAligned = candlesTimesSs.has(ts) ? ts : nearestTimeSs(ts);
if (trendRaw === 'UP') return { time: timeAligned, position: 'aboveBar', color: subSubColor, shape: 'arrowUp', size: 0.4 };
if (trendRaw === 'DOWN') return { time: timeAligned, position: 'belowBar', color: subSubColor, shape: 'arrowDown', size: 0.4 };
if (trendRaw === 'FLAT') return { time: timeAligned, position: 'inBar', color: subSubColor, shape: 'circle', size: 0.5 };
return { time: timeAligned, position: 'inBar', color: subSubColor, shape: 'square', size: 0.5 };
});
trendMarkersToUse = trendMarkersToUse.concat(subSubMarkers);
}
// 合并标记并设置
const combinedMarkers = [
@@ -5801,6 +6173,7 @@
...allElementFxMarkers,
...(window.kluDivMarkersMain || []),
...(window.kluDivMarkersElement || []),
...(window.kluDivMarkersSubSub || []),
...trendMarkersToUse,
...(window.bspMarkers || [])
];
@@ -5900,6 +6273,29 @@
});
trendMarkersToUse = trendMarkersToUse.concat(elementMarkers);
}
if ($('#showSubSubTrend').is(':checked') && currentData.sub_sub_klc_trend && currentData.sub_sub_klc_trend.length > 0) {
const candlesTimesSs2 = (typeof candles !== 'undefined' && Array.isArray(candles)) ? new Set(candles.map(c => c.time)) : new Set();
const nearestTimeSs2 = (target) => {
if (!Array.isArray(candles) || candles.length === 0) return target;
let best = candles[0].time, bestDiff = Math.abs(best - target);
for (let i = 1; i < candles.length; i++) {
const t = candles[i].time, d = Math.abs(t - target);
if (d < bestDiff) { best = t; bestDiff = d; }
}
return best;
};
const subSubColor2 = '#00897b';
const subSubMarkers2 = currentData.sub_sub_klc_trend.map(t => {
const ts = Math.floor(new Date(t.time).getTime() / 1000);
const trendRaw = (t.trend || '').toString().toUpperCase();
const timeAligned = candlesTimesSs2.has(ts) ? ts : nearestTimeSs2(ts);
if (trendRaw === 'UP') return { time: timeAligned, position: 'aboveBar', color: subSubColor2, shape: 'arrowUp', size: 0.4 };
if (trendRaw === 'DOWN') return { time: timeAligned, position: 'belowBar', color: subSubColor2, shape: 'arrowDown', size: 0.4 };
if (trendRaw === 'FLAT') return { time: timeAligned, position: 'inBar', color: subSubColor2, shape: 'circle', size: 0.5 };
return { time: timeAligned, position: 'inBar', color: subSubColor2, shape: 'square', size: 0.5 };
});
trendMarkersToUse = trendMarkersToUse.concat(subSubMarkers2);
}
// 这里的 onlyMainAndU 实际上是「最终要挂到主K线上」的一组标记
// 之前没有把 window.bspMarkers 合进去,导致上面已经合并了 BSP 标记,
// 但在这里再次调用 setMarkers 时把 BSP 覆盖掉了,从而前端看不到买卖点。
@@ -5908,6 +6304,7 @@
...(window.mainFxMarkers || []),
...(window.kluDivMarkersMain || []),
...(window.kluDivMarkersElement || []),
...(window.kluDivMarkersSubSub || []),
...trendMarkersToUse,
...(window.bspMarkers || [])
];
+11
View File
@@ -41,3 +41,14 @@
- 多个笔/线段中枢若区间两两重叠,可合并为一个大级别中枢;
- 重叠定义:两中枢 [zd,zg] 有交集,即 (zs_i.zg >= zs_j.zd and zs_i.zd <= zs_j.zg)
- 大级别中枢的 zd/zg 取子中枢的并集(包住所有子中枢),用于显示更大级别震荡区间。
线段高低点的判断
注意,这里必须提醒一句,就是这在以前也曾说过,就是,如果线段中,最高或最低点不是线段的端点,那么,在任何以线段为基础的分析中,例如把线段为基础构成最小级别的中枢等,都可以把该线段标准化为最高低点都在端点。因为, 在以线段为基础的分析中,都把线段当成一个没有内部 结构的基本部件,所以,只需要关心这线段的实际区间就可以,这样就可以只看其高低点。
经过标准化处理后,所有向上线段都是以最低点开始最高点结束,向下线段都是以最高点开始最低点结束,这样,所以线段的连接,就形成一条延续不断、首尾相连的折线,这样,复杂的图形,就会十分地标准化,也为后面的中枢、走势类型等分析提供了最标准且基础的部件。
概率引擎
策略引擎
分批建仓