添加老的策略

This commit is contained in:
jackyu66git
2025-09-28 11:48:03 +08:00
parent b40f4ceafc
commit 7f64ca2528
21 changed files with 3166 additions and 0 deletions
+191
View File
@@ -0,0 +1,191 @@
//@version=6
indicator("缠论精简版", shorttitle="缠论", overlay=true, max_lines_count=100, max_labels_count=100)
// ================== 输入参数 ==================
show_fractal = input.bool(true, "显示分型", group="显示")
show_stroke = input.bool(true, "显示笔", group="显示")
show_hub = input.bool(true, "显示中枢", group="显示")
show_signals = input.bool(true, "显示买卖点", group="显示")
fractal_length = input.int(3, "分型周期", minval=3, maxval=10, group="参数")
stroke_color = input.color(color.blue, "笔颜色", group="颜色")
hub_color = input.color(color.gray, "中枢颜色", group="颜色")
// ================== 分型识别 ==================
// 顶分型
top_fractal = ta.pivothigh(high, fractal_length, fractal_length)
// 底分型
bottom_fractal = ta.pivotlow(low, fractal_length, fractal_length)
// ================== 存储分型数据 ==================
var fractal_highs = array.new<float>()
var fractal_lows = array.new<float>()
var fractal_high_bars = array.new<int>()
var fractal_low_bars = array.new<int>()
// 记录新的分型
if not na(top_fractal)
array.push(fractal_highs, top_fractal)
array.push(fractal_high_bars, bar_index - fractal_length)
// 保持数组大小
if array.size(fractal_highs) > 50
array.shift(fractal_highs)
array.shift(fractal_high_bars)
if not na(bottom_fractal)
array.push(fractal_lows, bottom_fractal)
array.push(fractal_low_bars, bar_index - fractal_length)
// 保持数组大小
if array.size(fractal_lows) > 50
array.shift(fractal_lows)
array.shift(fractal_low_bars)
// ================== 显示分型 ==================
if show_fractal
// 顶分型标记
if not na(top_fractal)
label.new(bar_index - fractal_length, top_fractal, "T",
color=color.red, style=label.style_label_down, size=size.tiny)
// 底分型标记
if not na(bottom_fractal)
label.new(bar_index - fractal_length, bottom_fractal, "B",
color=color.green, style=label.style_label_up, size=size.tiny)
// ================== 笔的构建 ==================
var strokes = array.new<line>()
// 构建笔
build_strokes() =>
if array.size(fractal_highs) >= 1 and array.size(fractal_lows) >= 1
high_size = array.size(fractal_highs)
low_size = array.size(fractal_lows)
last_high = array.get(fractal_highs, high_size - 1)
last_low = array.get(fractal_lows, low_size - 1)
last_high_bar = array.get(fractal_high_bars, high_size - 1)
last_low_bar = array.get(fractal_low_bars, low_size - 1)
// 根据最后的分型连接笔
if last_high_bar > last_low_bar
// 最后是顶分型,连接到前一个底分型
if low_size >= 2
prev_low = array.get(fractal_lows, low_size - 2)
prev_low_bar = array.get(fractal_low_bars, low_size - 2)
if show_stroke
new_line = line.new(prev_low_bar, prev_low, last_high_bar, last_high,
color=stroke_color, width=2)
array.push(strokes, new_line)
else
// 最后是底分型,连接到前一个顶分型
if high_size >= 2
prev_high = array.get(fractal_highs, high_size - 2)
prev_high_bar = array.get(fractal_high_bars, high_size - 2)
if show_stroke
new_line = line.new(prev_high_bar, prev_high, last_low_bar, last_low,
color=stroke_color, width=2)
array.push(strokes, new_line)
// 执行笔构建
if not na(top_fractal) or not na(bottom_fractal)
build_strokes()
// ================== 中枢识别 ==================
var hubs = array.new<box>()
identify_hubs() =>
if array.size(fractal_highs) >= 3 and array.size(fractal_lows) >= 3
// 简化的中枢识别:连续三个分型的重叠区域
high_size = array.size(fractal_highs)
low_size = array.size(fractal_lows)
if high_size >= 2 and low_size >= 2
h1 = array.get(fractal_highs, high_size - 2)
h2 = array.get(fractal_highs, high_size - 1)
l1 = array.get(fractal_lows, low_size - 2)
l2 = array.get(fractal_lows, low_size - 1)
hub_high = math.min(h1, h2)
hub_low = math.max(l1, l2)
if hub_high > hub_low
start_bar = math.min(array.get(fractal_high_bars, high_size - 2),
array.get(fractal_low_bars, low_size - 2))
end_bar = math.max(array.get(fractal_high_bars, high_size - 1),
array.get(fractal_low_bars, low_size - 1))
if show_hub
hub_box = box.new(start_bar, hub_high, end_bar, hub_low,
border_color=hub_color, bgcolor=color.new(hub_color, 85))
array.push(hubs, hub_box)
// 执行中枢识别
if barstate.islast and (not na(top_fractal) or not na(bottom_fractal))
identify_hubs()
// ================== 买卖点信号 ==================
var buy_point = false
var sell_point = false
// 简化的买卖点逻辑
if array.size(fractal_lows) >= 2 and array.size(hubs) >= 1
current_low = array.get(fractal_lows, array.size(fractal_lows) - 1)
if array.size(hubs) > 0
latest_hub = array.get(hubs, array.size(hubs) - 1)
hub_low = box.get_bottom(latest_hub)
// 跌破中枢下沿的买点
if current_low < hub_low
buy_point := true
if array.size(fractal_highs) >= 2 and array.size(hubs) >= 1
current_high = array.get(fractal_highs, array.size(fractal_highs) - 1)
if array.size(hubs) > 0
latest_hub = array.get(hubs, array.size(hubs) - 1)
hub_high = box.get_top(latest_hub)
// 突破中枢上沿的卖点
if current_high > hub_high
sell_point := true
// 显示买卖点
if show_signals
if buy_point and not na(bottom_fractal)
label.new(bar_index - fractal_length, bottom_fractal, "买",
color=color.green, style=label.style_label_up, size=size.normal)
if sell_point and not na(top_fractal)
label.new(bar_index - fractal_length, top_fractal, "卖",
color=color.red, style=label.style_label_down, size=size.normal)
// ================== 清理旧对象 ==================
// 限制绘图对象数量,避免超出限制
if array.size(strokes) > 30
old_line = array.shift(strokes)
line.delete(old_line)
if array.size(hubs) > 10
old_hub = array.shift(hubs)
box.delete(old_hub)
// ================== 警报 ==================
alertcondition(buy_point and not na(bottom_fractal), title="缠论买点", message="发现买入信号")
alertcondition(sell_point and not na(top_fractal), title="缠论卖点", message="发现卖出信号")
// ================== 状态显示 ==================
if barstate.islast
var info_table = table.new(position.top_right, 2, 4, bgcolor=color.white, border_width=1)
table.cell(info_table, 0, 0, "缠论状态", text_color=color.black, text_size=size.small)
table.cell(info_table, 1, 0, "", text_color=color.black)
table.cell(info_table, 0, 1, "顶分型", text_color=color.black)
table.cell(info_table, 1, 1, str.tostring(array.size(fractal_highs)), text_color=color.black)
table.cell(info_table, 0, 2, "底分型", text_color=color.black)
table.cell(info_table, 1, 2, str.tostring(array.size(fractal_lows)), text_color=color.black)
table.cell(info_table, 0, 3, "中枢数", text_color=color.black)
table.cell(info_table, 1, 3, str.tostring(array.size(hubs)), text_color=color.black)