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Porter
2025-09-27 12:20:18 +08:00
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# Auto detect text files and perform LF normalization
* text=auto
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# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
# C extensions
*.so
# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST
# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/
cover/
# Translations
*.mo
*.pot
# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal
# Flask stuff:
instance/
.webassets-cache
# Scrapy stuff:
.scrapy
# Sphinx documentation
docs/_build/
# PyBuilder
.pybuilder/
target/
# Jupyter Notebook
.ipynb_checkpoints
# IPython
profile_default/
ipython_config.py
# pyenv
# For a library or package, you might want to ignore these files since the code is
# intended to run in multiple environments; otherwise, check them in:
# .python-version
# pipenv
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
# However, in case of collaboration, if having platform-specific dependencies or dependencies
# having no cross-platform support, pipenv may install dependencies that don't work, or not
# install all needed dependencies.
#Pipfile.lock
# UV
# Similar to Pipfile.lock, it is generally recommended to include uv.lock in version control.
# This is especially recommended for binary packages to ensure reproducibility, and is more
# commonly ignored for libraries.
#uv.lock
# poetry
# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
# This is especially recommended for binary packages to ensure reproducibility, and is more
# commonly ignored for libraries.
# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
#poetry.lock
# pdm
# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
#pdm.lock
# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
# in version control.
# https://pdm.fming.dev/latest/usage/project/#working-with-version-control
.pdm.toml
.pdm-python
.pdm-build/
# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
__pypackages__/
# Celery stuff
celerybeat-schedule
celerybeat.pid
# SageMath parsed files
*.sage.py
# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/
# Spyder project settings
.spyderproject
.spyproject
# Rope project settings
.ropeproject
# mkdocs documentation
/site
# mypy
.mypy_cache/
.dmypy.json
dmypy.json
# Pyre type checker
.pyre/
# pytype static type analyzer
.pytype/
# Cython debug symbols
cython_debug/
# PyCharm
# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
# and can be added to the global gitignore or merged into this file. For a more nuclear
# option (not recommended) you can uncomment the following to ignore the entire idea folder.
#.idea/
# Ruff stuff:
.ruff_cache/
# PyPI configuration file
.pypirc
# Cursor
# Cursor is an AI-powered code editor.`.cursorignore` specifies files/directories to
# exclude from AI features like autocomplete and code analysis. Recommended for sensitive data
# refer to https://docs.cursor.com/context/ignore-files
.cursorignore
.cursorindexingignore
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//@version=6
indicator("EMA52横线版 (HTF/LTF 最新值)", overlay=true, max_labels_count=500, max_lines_count=500)
// ============ 输入 ============
enableHTF = input.bool(true, "启用长级别", group="显示")
enableLTF = input.bool(true, "启用次级别", group="显示")
maxHTFInput = input.int(10, "最多显示长级别数量", minval=1, maxval=12, group="显示")
maxLTFInput = input.int(3, "最多显示次级别数量", minval=1, maxval=4, group="显示")
includeSeconds = input.bool(false, "包含秒级别(需高级套餐)", group="显示")
protectAutoscale = input.bool(true, "防拉伸: 仅在可视区间内显示", group="显示")
lookbackBars = input.int(300, "可视区间近多少根K线", minval=50, maxval=5000, group="显示")
padPercent = input.float(2.0, "可视边界留白(%)", minval=0.0, maxval=20.0, step=0.1, group="显示")
labelBgAlpha = input.int(85, "标签背景透明(0-100)", minval=0, maxval=100, group="标注")
labelSize = input.string("tiny", "标签字号", options=["tiny","small","normal","large","huge"], group="标注")
labelOffsetBars = input.int(2, "标签右移K线的距离(根数)", minval=0, maxval=50, group="标注")
// ============ 按线控制(可见性/颜色/宽度/样式) ============
// 为满足 Pine 对常量标题的要求,逐一声明。
// 长级别
groupHTF = "按线控制 - 长级别"
hShow1 = input.bool(true, "显示 HTF1", group=groupHTF)
hColor1 = input.color(color.new(color.teal, 0), "颜色 HTF1", group=groupHTF)
hWidth1 = input.int(1, "线宽 HTF1", minval=1, maxval=4, group=groupHTF)
hStyle1 = input.string("dotted", "样式 HTF1", options=["solid","dashed","dotted"], group=groupHTF)
hShow2 = input.bool(true, "显示 HTF2", group=groupHTF)
hColor2 = input.color(color.new(color.orange, 0), "颜色 HTF2", group=groupHTF)
hWidth2 = input.int(1, "线宽 HTF2", minval=1, maxval=4, group=groupHTF)
hStyle2 = input.string("dotted", "样式 HTF2", options=["solid","dashed","dotted"], group=groupHTF)
hShow3 = input.bool(true, "显示 HTF3", group=groupHTF)
hColor3 = input.color(color.new(color.fuchsia,0), "颜色 HTF3", group=groupHTF)
hWidth3 = input.int(1, "线宽 HTF3", minval=1, maxval=4, group=groupHTF)
hStyle3 = input.string("dotted", "样式 HTF3", options=["solid","dashed","dotted"], group=groupHTF)
hShow4 = input.bool(true, "显示 HTF4", group=groupHTF)
hColor4 = input.color(color.new(color.aqua, 0), "颜色 HTF4", group=groupHTF)
hWidth4 = input.int(1, "线宽 HTF4", minval=1, maxval=4, group=groupHTF)
hStyle4 = input.string("dotted", "样式 HTF4", options=["solid","dashed","dotted"], group=groupHTF)
hShow5 = input.bool(true, "显示 HTF5", group=groupHTF)
hColor5 = input.color(color.new(color.yellow, 0), "颜色 HTF5", group=groupHTF)
hWidth5 = input.int(1, "线宽 HTF5", minval=1, maxval=4, group=groupHTF)
hStyle5 = input.string("dotted", "样式 HTF5", options=["solid","dashed","dotted"], group=groupHTF)
hShow6 = input.bool(true, "显示 HTF6", group=groupHTF)
hColor6 = input.color(color.new(color.purple, 0), "颜色 HTF6", group=groupHTF)
hWidth6 = input.int(1, "线宽 HTF6", minval=1, maxval=4, group=groupHTF)
hStyle6 = input.string("dotted", "样式 HTF6", options=["solid","dashed","dotted"], group=groupHTF)
hShow7 = input.bool(true, "显示 HTF7", group=groupHTF)
hColor7 = input.color(color.new(color.lime, 0), "颜色 HTF7", group=groupHTF)
hWidth7 = input.int(1, "线宽 HTF7", minval=1, maxval=4, group=groupHTF)
hStyle7 = input.string("dotted", "样式 HTF7", options=["solid","dashed","dotted"], group=groupHTF)
hShow8 = input.bool(true, "显示 HTF8", group=groupHTF)
hColor8 = input.color(color.new(color.red, 0), "颜色 HTF8", group=groupHTF)
hWidth8 = input.int(1, "线宽 HTF8", minval=1, maxval=4, group=groupHTF)
hStyle8 = input.string("dotted", "样式 HTF8", options=["solid","dashed","dotted"], group=groupHTF)
hShow9 = input.bool(true, "显示 HTF9", group=groupHTF)
hColor9 = input.color(color.new(color.blue, 0), "颜色 HTF9", group=groupHTF)
hWidth9 = input.int(1, "线宽 HTF9", minval=1, maxval=4, group=groupHTF)
hStyle9 = input.string("dotted", "样式 HTF9", options=["solid","dashed","dotted"], group=groupHTF)
hShow10 = input.bool(true, "显示 HTF10", group=groupHTF)
hColor10 = input.color(color.new(color.navy, 0), "颜色 HTF10", group=groupHTF)
hWidth10 = input.int(1, "线宽 HTF10", minval=1, maxval=4, group=groupHTF)
hStyle10 = input.string("dotted", "样式 HTF10", options=["solid","dashed","dotted"], group=groupHTF)
hShow11 = input.bool(true, "显示 HTF11", group=groupHTF)
hColor11 = input.color(color.new(color.maroon, 0), "颜色 HTF11", group=groupHTF)
hWidth11 = input.int(1, "线宽 HTF11", minval=1, maxval=4, group=groupHTF)
hStyle11 = input.string("dotted", "样式 HTF11", options=["solid","dashed","dotted"], group=groupHTF)
hShow12 = input.bool(true, "显示 HTF12", group=groupHTF)
hColor12 = input.color(color.new(color.silver, 0), "颜色 HTF12", group=groupHTF)
hWidth12 = input.int(1, "线宽 HTF12", minval=1, maxval=4, group=groupHTF)
hStyle12 = input.string("dotted", "样式 HTF12", options=["solid","dashed","dotted"], group=groupHTF)
// 次级别
groupLTF = "按线控制 - 次级别"
lShow1 = input.bool(true, "显示 LTF1", group=groupLTF)
lColor1 = input.color(color.new(color.teal, 30), "颜色 LTF1", group=groupLTF)
lWidth1 = input.int(1, "线宽 LTF1", minval=1, maxval=4, group=groupLTF)
lStyle1 = input.string("dotted", "样式 LTF1", options=["solid","dashed","dotted"], group=groupLTF)
lShow2 = input.bool(true, "显示 LTF2", group=groupLTF)
lColor2 = input.color(color.new(color.orange, 30),"颜色 LTF2", group=groupLTF)
lWidth2 = input.int(1, "线宽 LTF2", minval=1, maxval=4, group=groupLTF)
lStyle2 = input.string("dotted", "样式 LTF2", options=["solid","dashed","dotted"], group=groupLTF)
lShow3 = input.bool(true, "显示 LTF3", group=groupLTF)
lColor3 = input.color(color.new(color.fuchsia,30),"颜色 LTF3", group=groupLTF)
lWidth3 = input.int(1, "线宽 LTF3", minval=1, maxval=4, group=groupLTF)
lStyle3 = input.string("dotted", "样式 LTF3", options=["solid","dashed","dotted"], group=groupLTF)
lShow4 = input.bool(true, "显示 LTF4", group=groupLTF)
lColor4 = input.color(color.new(color.aqua, 30),"颜色 LTF4", group=groupLTF)
lWidth4 = input.int(1, "线宽 LTF4", minval=1, maxval=4, group=groupLTF)
lStyle4 = input.string("dotted", "样式 LTF4", options=["solid","dashed","dotted"], group=groupLTF)
// 样式字符串到 line.style 的映射
f_lineStyle(string s) => s == "solid" ? line.style_solid : s == "dashed" ? line.style_dashed : line.style_dotted
// 取对应序号的配置
f_htfShow(int i) => i == 0 ? hShow1 : i == 1 ? hShow2 : i == 2 ? hShow3 : i == 3 ? hShow4 : i == 4 ? hShow5 : i == 5 ? hShow6 : i == 6 ? hShow7 : i == 7 ? hShow8 : i == 8 ? hShow9 : i == 9 ? hShow10 : i == 10 ? hShow11 : hShow12
f_htfColor(int i) => i == 0 ? hColor1 : i == 1 ? hColor2 : i == 2 ? hColor3 : i == 3 ? hColor4 : i == 4 ? hColor5 : i == 5 ? hColor6 : i == 6 ? hColor7 : i == 7 ? hColor8 : i == 8 ? hColor9 : i == 9 ? hColor10 : i == 10 ? hColor11 : hColor12
f_htfWidth(int i) => i == 0 ? hWidth1 : i == 1 ? hWidth2 : i == 2 ? hWidth3 : i == 3 ? hWidth4 : i == 4 ? hWidth5 : i == 5 ? hWidth6 : i == 6 ? hWidth7 : i == 7 ? hWidth8 : i == 8 ? hWidth9 : i == 9 ? hWidth10 : i == 10 ? hWidth11 : hWidth12
f_htfStyle(int i) => f_lineStyle(i == 0 ? hStyle1 : i == 1 ? hStyle2 : i == 2 ? hStyle3 : i == 3 ? hStyle4 : i == 4 ? hStyle5 : i == 5 ? hStyle6 : i == 6 ? hStyle7 : i == 7 ? hStyle8 : i == 8 ? hStyle9 : i == 9 ? hStyle10 : i == 10 ? hStyle11 : hStyle12)
f_ltfShow(int i) => i == 0 ? lShow1 : i == 1 ? lShow2 : i == 2 ? lShow3 : lShow4
f_ltfColor(int i) => i == 0 ? lColor1 : i == 1 ? lColor2 : i == 2 ? lColor3 : lColor4
f_ltfWidth(int i) => i == 0 ? lWidth1 : i == 1 ? lWidth2 : i == 2 ? lWidth3 : lWidth4
f_ltfStyle(int i) => f_lineStyle(i == 0 ? lStyle1 : i == 1 ? lStyle2 : i == 2 ? lStyle3 : lStyle4)
// ============ 工具 ============
f_strToSize(string s) => switch s
"tiny" => size.tiny
"small" => size.small
"normal" => size.normal
"large" => size.large
=> size.huge
var color[] PALETTE = array.new_color()
if barstate.isfirst and array.size(PALETTE) == 0
array.push(PALETTE, color.new(color.teal, 0))
array.push(PALETTE, color.new(color.orange, 0))
array.push(PALETTE, color.new(color.fuchsia,0))
array.push(PALETTE, color.new(color.aqua, 0))
array.push(PALETTE, color.new(color.yellow, 0))
array.push(PALETTE, color.new(color.purple, 0))
array.push(PALETTE, color.new(color.lime, 0))
array.push(PALETTE, color.new(color.red, 0))
array.push(PALETTE, color.new(color.blue, 0))
array.push(PALETTE, color.new(color.navy, 0))
array.push(PALETTE, color.new(color.maroon, 0))
array.push(PALETTE, color.new(color.silver, 0))
f_paletteColor(int idx) =>
sz = math.max(1, array.size(PALETTE))
array.get(PALETTE, idx % sz)
f_isSecondsTf(string tf) =>
ln = str.length(tf)
ln > 0 and str.substring(tf, ln - 1, ln) == 'S'
f_prettyTf(string tf) =>
s = timeframe.in_seconds(tf)
string out = tf
if not na(s)
if s < 3600
mins = math.max(1, math.round(s / 60))
out := str.tostring(mins) + 'm'
else if s % 3600 == 0 and s < 86400
hrs = math.round(s / 3600)
out := str.tostring(hrs) + 'h'
else if s % 86400 == 0 and s < 7 * 86400
days = math.round(s / 86400)
out := str.tostring(days) + 'D'
else if s % (7 * 86400) == 0 and s < 30 * 86400
weeks = math.round(s / (7 * 86400))
out := str.tostring(weeks) + 'W'
else
out := tf
else
out := tf
out
// ============ 周期间构建 ============
var string[] ALL_RES = array.new_string()
if barstate.isfirst and array.size(ALL_RES) == 0
array.push(ALL_RES, "1S")
array.push(ALL_RES, "5S")
array.push(ALL_RES, "15S")
array.push(ALL_RES, "30S")
array.push(ALL_RES, "1")
array.push(ALL_RES, "3")
array.push(ALL_RES, "5")
array.push(ALL_RES, "15")
array.push(ALL_RES, "30")
array.push(ALL_RES, "45")
array.push(ALL_RES, "60")
array.push(ALL_RES, "120")
array.push(ALL_RES, "240")
array.push(ALL_RES, "360")
array.push(ALL_RES, "480")
array.push(ALL_RES, "720")
array.push(ALL_RES, "D")
array.push(ALL_RES, "2D")
array.push(ALL_RES, "3D")
array.push(ALL_RES, "W")
array.push(ALL_RES, "2W")
array.push(ALL_RES, "M")
array.push(ALL_RES, "3M")
curResStr = timeframe.period
curResSec = timeframe.in_seconds(curResStr)
var string[] htfRes = array.new_string()
var string[] ltfRes = array.new_string()
array.clear(htfRes)
array.clear(ltfRes)
for i = 0 to array.size(ALL_RES) - 1
res = array.get(ALL_RES, i)
if not includeSeconds and f_isSecondsTf(res)
continue
rsec = timeframe.in_seconds(res)
if na(rsec)
continue
if rsec > curResSec
array.push(htfRes, res)
else if rsec < curResSec
array.push(ltfRes, res)
var string[] ltfSel = array.new_string()
array.clear(ltfSel)
ltfsz = array.size(ltfRes)
if ltfsz > 0
take = math.min(maxLTFInput, 4, ltfsz)
for k = 0 to take - 1
array.push(ltfSel, array.get(ltfRes, ltfsz - 1 - k))
htfCountSelected = math.min(array.size(htfRes), maxHTFInput, 12)
ltfCountSelected = math.min(array.size(ltfSel), 4)
// ============ 计算最新 EMA52 ============
var float[] htfVals = array.new_float()
var float[] ltfVals = array.new_float()
if barstate.isfirst
for _i = 0 to 11
array.push(htfVals, na)
for _j = 0 to 3
array.push(ltfVals, na)
for i = 0 to 11
float val = na
if enableHTF and i < htfCountSelected
tfStr = array.get(htfRes, i)
val := request.security(syminfo.tickerid, tfStr, ta.ema(close, 52), barmerge.gaps_off, barmerge.lookahead_off)
array.set(htfVals, i, val)
for i = 0 to 3
float val = na
if enableLTF and i < ltfCountSelected
tfStr = array.get(ltfSel, i)
val := request.security(syminfo.tickerid, tfStr, ta.ema(close, 52), barmerge.gaps_off, barmerge.lookahead_off)
array.set(ltfVals, i, val)
// ============ 可视区间 ============
rangeHi = ta.highest(high, lookbackBars)
rangeLo = ta.lowest(low, lookbackBars)
rangeSpan = rangeHi - rangeLo
pad = rangeSpan * padPercent * 0.01
minY = rangeLo - pad
maxY = rangeHi + pad
f_inRange(series float v) => protectAutoscale ? (v >= minY and v <= maxY) : true
// ============ 绘制水平线与标签(仅最新值) ============
var line[] htfLines = array.new_line()
var line[] ltfLines = array.new_line()
var label[] htfLabels = array.new_label()
var label[] ltfLabels = array.new_label()
var string lastTicker = na
var string lastTf = na
if barstate.isfirst
for _i = 0 to 11
array.push(htfLines, na)
array.push(htfLabels, na)
for _j = 0 to 3
array.push(ltfLines, na)
array.push(ltfLabels, na)
lastTicker := syminfo.tickerid
lastTf := timeframe.period
// 清理:品种或周期变化
symbolChanged = lastTicker != syminfo.tickerid
tfChanged = lastTf != timeframe.period
if symbolChanged or tfChanged
for i = 0 to 11
l = array.get(htfLines, i)
if not na(l)
line.delete(l)
array.set(htfLines, i, na)
lb = array.get(htfLabels, i)
if not na(lb)
label.delete(lb)
array.set(htfLabels, i, na)
for i = 0 to 3
l = array.get(ltfLines, i)
if not na(l)
line.delete(l)
array.set(ltfLines, i, na)
lb = array.get(ltfLabels, i)
if not na(lb)
label.delete(lb)
array.set(ltfLabels, i, na)
lastTicker := syminfo.tickerid
lastTf := timeframe.period
// 更新:在最后一根柱上画从最左端到最右端的水平线(仅一段),并在右侧放标签
if barstate.islast
// 长级别
for i = 0 to 11
// 颜色/线宽/样式来自按线控制面板
col = f_htfColor(i)
v = array.get(htfVals, i)
show = enableHTF and i < htfCountSelected and f_htfShow(i) and not na(v) and f_inRange(v)
ln = array.get(htfLines, i)
lb = array.get(htfLabels, i)
if show
x1 = bar_index - lookbackBars
x2 = bar_index + labelOffsetBars
if na(ln)
ln := line.new(x1, v, x2, v, xloc=xloc.bar_index, extend=extend.none, color=col, width=f_htfWidth(i), style=f_htfStyle(i))
array.set(htfLines, i, ln)
else
line.set_xy1(ln, x1, v)
line.set_xy2(ln, x2, v)
line.set_color(ln, col)
line.set_width(ln, f_htfWidth(i))
line.set_style(ln, f_htfStyle(i))
txt = f_prettyTf(array.get(htfRes, i)) + ' ' + str.tostring(v, format.mintick)
if na(lb)
lb := label.new(bar_index + labelOffsetBars, v, txt, xloc=xloc.bar_index, yloc=yloc.price, style=label.style_label_left, textcolor=col, color=color.new(col, labelBgAlpha), size=f_strToSize(labelSize))
array.set(htfLabels, i, lb)
else
label.set_xy(lb, bar_index + labelOffsetBars, v)
label.set_text(lb, txt)
label.set_textcolor(lb, col)
label.set_color(lb, color.new(col, labelBgAlpha))
label.set_style(lb, label.style_label_left)
label.set_size(lb, f_strToSize(labelSize))
else
if not na(ln)
line.delete(ln)
array.set(htfLines, i, na)
if not na(lb)
label.delete(lb)
array.set(htfLabels, i, na)
// 次级别
for i = 0 to 3
base = f_ltfColor(i)
col = base
v = array.get(ltfVals, i)
show = enableLTF and i < ltfCountSelected and f_ltfShow(i) and not na(v) and f_inRange(v)
ln = array.get(ltfLines, i)
lb = array.get(ltfLabels, i)
if show
x1 = bar_index - lookbackBars
x2 = bar_index + labelOffsetBars
if na(ln)
ln := line.new(x1, v, x2, v, xloc=xloc.bar_index, extend=extend.none, color=col, width=f_ltfWidth(i), style=f_ltfStyle(i))
array.set(ltfLines, i, ln)
else
line.set_xy1(ln, x1, v)
line.set_xy2(ln, x2, v)
line.set_color(ln, col)
line.set_width(ln, f_ltfWidth(i))
line.set_style(ln, f_ltfStyle(i))
txt = f_prettyTf(array.get(ltfSel, i)) + ' ' + str.tostring(v, format.mintick)
if na(lb)
lb := label.new(bar_index + labelOffsetBars, v, txt, xloc=xloc.bar_index, yloc=yloc.price, style=label.style_label_left, textcolor=col, color=color.new(col, labelBgAlpha + 10 > 100 ? 100 : labelBgAlpha + 10), size=f_strToSize(labelSize))
array.set(ltfLabels, i, lb)
else
label.set_xy(lb, bar_index + labelOffsetBars, v)
label.set_text(lb, txt)
label.set_textcolor(lb, col)
label.set_color(lb, color.new(col, labelBgAlpha + 10 > 100 ? 100 : labelBgAlpha + 10))
label.set_style(lb, label.style_label_left)
label.set_size(lb, f_strToSize(labelSize))
else
if not na(ln)
line.delete(ln)
array.set(ltfLines, i, na)
if not na(lb)
label.delete(lb)
array.set(ltfLabels, i, na)
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# tradingview
TradingView scripts
+106
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// MACD与价格背驰检测指标
// 作者: Claude AI
// 版本: 1.0
//@version=5
indicator("MACD背驰检测", shorttitle="MACD背驰", overlay=true)
// MACD参数
fast_length = input.int(12, "MACD快线长度", minval=1)
slow_length = input.int(26, "MACD慢线长度", minval=1)
signal_length = input.int(9, "MACD信号线长度", minval=1)
// 背驰检测参数
lookback = input.int(10, "回溯检测周期", minval=5)
threshold = input.float(0.5, "背驰阈值", minval=0.1, step=0.1)
// 计算MACD
[macdLine, signalLine, histLine] = ta.macd(close, fast_length, slow_length, signal_length)
// 寻找价格的高点和低点
price_high = ta.highest(high, lookback)
price_low = ta.lowest(low, lookback)
// 判断当前柱是否是局部高点或低点
is_price_high = high == price_high and high > high[1] and high > high[2]
is_price_low = low == price_low and low < low[1] and low < low[2]
// 保存价格高点和低点及其对应的MACD值
var float last_price_high = na
var float last_price_low = na
var float last_macd_at_price_high = na
var float last_macd_at_price_low = na
// 寻找MACD的高点和低点
macd_high = ta.highest(macdLine, lookback)
macd_low = ta.lowest(macdLine, lookback)
// ----- 背驰检测逻辑 -----
// 顶背驰:价格创新高,但MACD没有创新高
bearish_divergence = false
if is_price_high
// 保存当前高点及对应的MACD值
if not na(last_price_high) and high > last_price_high and macdLine < last_macd_at_price_high
bearish_divergence := true
last_price_high := high
last_macd_at_price_high := macdLine
// 底背驰:价格创新低,但MACD没有创新低
bullish_divergence = false
if is_price_low
// 保存当前低点及对应的MACD值
if not na(last_price_low) and low < last_price_low and macdLine > last_macd_at_price_low
bullish_divergence := true
last_price_low := low
last_macd_at_price_low := macdLine
// ----- 标注背驰 -----
// 顶背驰标注
plotshape(
bearish_divergence,
title="顶背驰",
location=location.abovebar,
color=color.red,
style=shape.triangledown,
size=size.normal,
text="顶背驰")
// 底背驰标注
plotshape(
bullish_divergence,
title="底背驰",
location=location.belowbar,
color=color.green,
style=shape.triangleup,
size=size.normal,
text="底背驰")
// ----- 辅助指标 -----
// 在单独窗口绘制MACD
plot(macdLine, "MACD", color=color.blue, display=display.none)
plot(signalLine, "信号线", color=color.orange, display=display.none)
plot(histLine, "柱状图", color=histLine >= 0 ? color.green : color.red, style=plot.style_histogram, display=display.none)
// 显示背驰信息
var label divergenceLabel = na
if barstate.islast
label.delete(divergenceLabel)
if bearish_divergence
divergenceLabel := label.new(
bar_index, high,
text="顶背驰警告!\n价格创新高但MACD未跟进",
color=color.red,
style=label.style_label_down,
textcolor=color.white)
else if bullish_divergence
divergenceLabel := label.new(
bar_index, low,
text="底背驰警告!\n价格创新低但MACD未跟进",
color=color.green,
style=label.style_label_up,
textcolor=color.white)
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// MACD柱子面积计算指标
// 作者: Claude AI
// 版本: 1.0
//@version=5
indicator("MACD柱子面积", shorttitle="MACD面积", overlay=false)
// MACD参数
fast_length = input.int(12, "快线长度", minval=1)
slow_length = input.int(26, "慢线长度", minval=1)
signal_length = input.int(9, "信号线长度", minval=1)
// 计算MACD
[macdLine, signalLine, histLine] = ta.macd(close, fast_length, slow_length, signal_length)
// 初始化面积变量
var float upArea = 0.0
var float downArea = 0.0
// 检测柱子正负性并累加面积
if histLine > 0
upArea := upArea + histLine
// 当从负值转为正值时,重置下跌面积
if histLine[1] < 0
downArea := 0.0
else if histLine < 0
downArea := downArea + math.abs(histLine)
// 当从正值转为负值时,重置上涨面积
if histLine[1] > 0
upArea := 0.0
// 绘制结果
plot(upArea, "上涨段面积", color=color.green, style=plot.style_area)
plot(downArea, "下跌段面积", color=color.red, style=plot.style_area)
plot(histLine, "MACD柱状图", color=histLine >= 0 ? color.green : color.red, style=plot.style_histogram)
plot(macdLine, "MACD", color=color.blue)
plot(signalLine, "信号线", color=color.orange)
// 添加文字标签
var label upLabel = na
var label downLabel = na
if barstate.islast
upLabel := label.new(
bar_index, upArea,
text="上涨面积: " + str.tostring(upArea, "#.##"),
color=color.green,
style=label.style_label_down,
textcolor=color.white)
downLabel := label.new(
bar_index, downArea,
text="下跌面积: " + str.tostring(downArea, "#.##"),
color=color.red,
style=label.style_label_up,
textcolor=color.white)
label.delete(upLabel[1])
label.delete(downLabel[1])
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//@version=6
indicator("多周期EMA52 (HTF/LTF)", overlay=true, max_labels_count=500, max_lines_count=500)
// ======================== 配置输入 ========================
// 主控
enableHTF = input.bool(true, "启用长级别", group="显示")
enableLTF = input.bool(true, "启用次级别", group="显示")
maxHTFInput = input.int(10, "最多显示长级别数量", minval=1, maxval=12, group="显示")
maxLTFInput = input.int(3, "最多显示次级别数量", minval=1, maxval=4, group="显示")
includeSeconds = input.bool(false, "包含秒级别(需高级套餐)", group="显示")
protectAutoscale = input.bool(true, "防拉伸: 仅绘制可视区间内", group="显示")
lookbackBars = input.int(300, "可视区间近多少根K线", minval=50, maxval=5000, group="显示")
padPercent = input.float(2.0, "可视边界留白(%)", minval=0.0, maxval=20.0, step=0.1, group="显示")
// 视觉(虚线效果)
dashLenHTF = input.int(6, "长级别虚线段长度", minval=1, maxval=50, group="线型")
dashGapHTF = input.int(4, "长级别虚线间隔", minval=1, maxval=50, group="线型")
dashLenLTF = input.int(2, "次级别虚线段长度", minval=1, maxval=50, group="线型")
dashGapLTF = input.int(3, "次级别虚线间隔", minval=1, maxval=50, group="线型")
lineWidthHTF = input.int(1, "长级别线宽", minval=1, maxval=4, group="线型")
lineWidthLTF = input.int(1, "次级别线宽", minval=1, maxval=4, group="线型")
labelBgAlpha = input.int(85, "标签背景透明(0-100)", minval=0, maxval=100, group="标注")
labelSize = input.string("tiny", "标签字号", options=["tiny","small","normal","large","huge"], group="标注")
labelOffsetBars = input.int(2, "标签右移K线的距离(根数)", minval=0, maxval=50, group="标注")
// 常量上限(编译期固定,用于生成固定数量的 plot 位)
const int MAX_HTF = 12
const int MAX_LTF = 4
// ======================== 工具函数 ========================
f_dash(series float v, int phase, int dashLen, int dashGap) =>
// 通过丢弃部分柱来营造虚线效果
isShow = (bar_index + phase) % (dashLen + dashGap) < dashLen
isShow ? v : na
f_strToSize(string s) => switch s
"tiny" => size.tiny
"small" => size.small
"normal" => size.normal
"large" => size.large
=> size.huge
// 颜色调色板(循环使用)
var color[] PALETTE = array.new_color()
if barstate.isfirst and array.size(PALETTE) == 0
array.push(PALETTE, color.new(color.teal, 0))
array.push(PALETTE, color.new(color.orange, 0))
array.push(PALETTE, color.new(color.fuchsia,0))
array.push(PALETTE, color.new(color.aqua, 0))
array.push(PALETTE, color.new(color.yellow, 0))
array.push(PALETTE, color.new(color.purple, 0))
array.push(PALETTE, color.new(color.lime, 0))
array.push(PALETTE, color.new(color.red, 0))
array.push(PALETTE, color.new(color.blue, 0))
array.push(PALETTE, color.new(color.navy, 0))
array.push(PALETTE, color.new(color.maroon, 0))
array.push(PALETTE, color.new(color.silver, 0))
f_paletteColor(int idx) =>
sz = math.max(1, array.size(PALETTE))
array.get(PALETTE, idx % sz)
// 是否为秒级分辨率,如 "1S","5S"
f_isSecondsTf(string tf) =>
ln = str.length(tf)
ln > 0 and str.substring(tf, ln - 1, ln) == 'S'
// 计算可视范围边界(近 N 根 K 线 + 百分比留白)
rangeHi = ta.highest(high, lookbackBars)
rangeLo = ta.lowest(low, lookbackBars)
rangeSpan = rangeHi - rangeLo
pad = rangeSpan * padPercent * 0.01
minY = rangeLo - pad
maxY = rangeHi + pad
// 仅在可视区间内绘制(超出返回 na,以避免影响自动缩放)。
f_gate(series float v) => protectAutoscale ? (v >= minY and v <= maxY ? v : na) : v
// 检查是否在可视区间内
f_inRange(series float v) => protectAutoscale ? (v >= minY and v <= maxY) : true
// 周期字符串美化(如 1 -> 1m, 60 -> 1h, D -> 1D, W -> 1W, 3M -> 3M
f_prettyTf(string tf) =>
s = timeframe.in_seconds(tf)
string out = tf
if not na(s)
if s < 3600
mins = math.max(1, math.round(s / 60))
out := str.tostring(mins) + 'm'
else if s % 3600 == 0 and s < 86400
hrs = math.round(s / 3600)
out := str.tostring(hrs) + 'h'
else if s % 86400 == 0 and s < 7 * 86400
days = math.round(s / 86400)
out := str.tostring(days) + 'D'
else if s % (7 * 86400) == 0 and s < 30 * 86400
weeks = math.round(s / (7 * 86400))
out := str.tostring(weeks) + 'W'
else
out := tf
else
// 月等返回 na 的分辨率保持原样(M/3M)
out := tf
out
// ======================== 标准时间周期表 ========================
// 备注:TradingView 分辨率字符串 —— 分钟: "1","3","5"...;小时: "60","120"...
// 天: "D","2D";周: "W","2W";月: "M","3M";秒级可能为 "1S","5S" 等。
var string[] ALL_RES = array.new_string()
if barstate.isfirst and array.size(ALL_RES) == 0
// 由低到高,便于筛选
// 秒级(若品种/权限不支持,请忽略,筛选时会自动排除)
array.push(ALL_RES, "1S")
array.push(ALL_RES, "5S")
array.push(ALL_RES, "15S")
array.push(ALL_RES, "30S")
// 分钟
array.push(ALL_RES, "1")
array.push(ALL_RES, "3")
array.push(ALL_RES, "5")
array.push(ALL_RES, "15")
array.push(ALL_RES, "30")
array.push(ALL_RES, "45")
// 小时(以分钟表示)
array.push(ALL_RES, "60")
array.push(ALL_RES, "120")
array.push(ALL_RES, "240")
array.push(ALL_RES, "360")
array.push(ALL_RES, "480")
array.push(ALL_RES, "720")
// 日/周/月
array.push(ALL_RES, "D")
array.push(ALL_RES, "2D")
array.push(ALL_RES, "3D")
array.push(ALL_RES, "W")
array.push(ALL_RES, "2W")
array.push(ALL_RES, "M")
array.push(ALL_RES, "3M")
// ======================== 周期间关系与选择 ========================
curResStr = timeframe.period
curResSec = timeframe.in_seconds(curResStr)
// 构建长/次级别列表
var string[] htfRes = array.new_string()
var string[] ltfRes = array.new_string()
array.clear(htfRes)
array.clear(ltfRes)
for i = 0 to array.size(ALL_RES) - 1
res = array.get(ALL_RES, i)
// 非高级用户默认不包含秒级周期
if not includeSeconds and f_isSecondsTf(res)
continue
rsec = timeframe.in_seconds(res)
// timeframe.in_seconds 不支持时返回 na,需跳过
if na(rsec)
continue
if rsec > curResSec
array.push(htfRes, res)
else if rsec < curResSec
array.push(ltfRes, res)
// 选取靠近当前周期的若干次级别(更有参考意义):取 ltfRes 的末尾(更接近当前)
var string[] ltfSel = array.new_string()
array.clear(ltfSel)
ltfsz = array.size(ltfRes)
if ltfsz > 0
take = math.min(maxLTFInput, MAX_LTF, ltfsz)
for k = 0 to take - 1
array.push(ltfSel, array.get(ltfRes, ltfsz - 1 - k))
// 限制长级别数量
htfCountSelected = math.min(array.size(htfRes), maxHTFInput, MAX_HTF)
ltfCountSelected = math.min(array.size(ltfSel), MAX_LTF)
// ======================== 计算各周期 EMA52 ========================
// 预分配数值数组(保持固定最大长度)
var float[] htfVals = array.new_float()
var float[] ltfVals = array.new_float()
if barstate.isfirst
for _i = 0 to MAX_HTF - 1
array.push(htfVals, na)
for _j = 0 to MAX_LTF - 1
array.push(ltfVals, na)
// 填充长级别数值
for i = 0 to MAX_HTF - 1
float val = na
if enableHTF and i < htfCountSelected
tfStr = array.get(htfRes, i)
// 计算该长级别的 EMA52
val := request.security(syminfo.tickerid, tfStr, ta.ema(close, 52), barmerge.gaps_off, barmerge.lookahead_off)
array.set(htfVals, i, val)
// 填充次级别数值
for i = 0 to MAX_LTF - 1
float val = na
if enableLTF and i < ltfCountSelected
tfStr = array.get(ltfSel, i)
// 计算该次级别的 EMA52(低级别向上合成,注意其更频繁更新)
val := request.security(syminfo.tickerid, tfStr, ta.ema(close, 52), barmerge.gaps_off, barmerge.lookahead_off)
array.set(ltfVals, i, val)
// ======================== 绘制(虚线 + 标签) ========================
// 顶层固定 plot(避免在局部/循环中调用 plot)
plot((enableHTF and 0 < htfCountSelected) ? f_gate(f_dash(array.get(htfVals, 0), 0 * 2, dashLenHTF, dashGapHTF)) : na, title='HTF EMA52 1', color=f_paletteColor(0), linewidth=lineWidthHTF, style=plot.style_line)
plot((enableHTF and 1 < htfCountSelected) ? f_gate(f_dash(array.get(htfVals, 1), 1 * 2, dashLenHTF, dashGapHTF)) : na, title='HTF EMA52 2', color=f_paletteColor(1), linewidth=lineWidthHTF, style=plot.style_line)
plot((enableHTF and 2 < htfCountSelected) ? f_gate(f_dash(array.get(htfVals, 2), 2 * 2, dashLenHTF, dashGapHTF)) : na, title='HTF EMA52 3', color=f_paletteColor(2), linewidth=lineWidthHTF, style=plot.style_line)
plot((enableHTF and 3 < htfCountSelected) ? f_gate(f_dash(array.get(htfVals, 3), 3 * 2, dashLenHTF, dashGapHTF)) : na, title='HTF EMA52 4', color=f_paletteColor(3), linewidth=lineWidthHTF, style=plot.style_line)
plot((enableHTF and 4 < htfCountSelected) ? f_gate(f_dash(array.get(htfVals, 4), 4 * 2, dashLenHTF, dashGapHTF)) : na, title='HTF EMA52 5', color=f_paletteColor(4), linewidth=lineWidthHTF, style=plot.style_line)
plot((enableHTF and 5 < htfCountSelected) ? f_gate(f_dash(array.get(htfVals, 5), 5 * 2, dashLenHTF, dashGapHTF)) : na, title='HTF EMA52 6', color=f_paletteColor(5), linewidth=lineWidthHTF, style=plot.style_line)
plot((enableHTF and 6 < htfCountSelected) ? f_gate(f_dash(array.get(htfVals, 6), 6 * 2, dashLenHTF, dashGapHTF)) : na, title='HTF EMA52 7', color=f_paletteColor(6), linewidth=lineWidthHTF, style=plot.style_line)
plot((enableHTF and 7 < htfCountSelected) ? f_gate(f_dash(array.get(htfVals, 7), 7 * 2, dashLenHTF, dashGapHTF)) : na, title='HTF EMA52 8', color=f_paletteColor(7), linewidth=lineWidthHTF, style=plot.style_line)
plot((enableHTF and 8 < htfCountSelected) ? f_gate(f_dash(array.get(htfVals, 8), 8 * 2, dashLenHTF, dashGapHTF)) : na, title='HTF EMA52 9', color=f_paletteColor(8), linewidth=lineWidthHTF, style=plot.style_line)
plot((enableHTF and 9 < htfCountSelected) ? f_gate(f_dash(array.get(htfVals, 9), 9 * 2, dashLenHTF, dashGapHTF)) : na, title='HTF EMA52 10', color=f_paletteColor(9), linewidth=lineWidthHTF, style=plot.style_line)
plot((enableHTF and 10 < htfCountSelected) ? f_gate(f_dash(array.get(htfVals, 10), 10 * 2, dashLenHTF, dashGapHTF)) : na, title='HTF EMA52 11', color=f_paletteColor(10), linewidth=lineWidthHTF, style=plot.style_line)
plot((enableHTF and 11 < htfCountSelected) ? f_gate(f_dash(array.get(htfVals, 11), 11 * 2, dashLenHTF, dashGapHTF)) : na, title='HTF EMA52 12', color=f_paletteColor(11), linewidth=lineWidthHTF, style=plot.style_line)
plot((enableLTF and 0 < ltfCountSelected) ? f_gate(f_dash(array.get(ltfVals, 0), 0 * 3 + 1, dashLenLTF, dashGapLTF)) : na, title='LTF EMA52 1', color=color.new(f_paletteColor(0), 30), linewidth=lineWidthLTF, style=plot.style_line)
plot((enableLTF and 1 < ltfCountSelected) ? f_gate(f_dash(array.get(ltfVals, 1), 1 * 3 + 1, dashLenLTF, dashGapLTF)) : na, title='LTF EMA52 2', color=color.new(f_paletteColor(1), 30), linewidth=lineWidthLTF, style=plot.style_line)
plot((enableLTF and 2 < ltfCountSelected) ? f_gate(f_dash(array.get(ltfVals, 2), 2 * 3 + 1, dashLenLTF, dashGapLTF)) : na, title='LTF EMA52 3', color=color.new(f_paletteColor(2), 30), linewidth=lineWidthLTF, style=plot.style_line)
plot((enableLTF and 3 < ltfCountSelected) ? f_gate(f_dash(array.get(ltfVals, 3), 3 * 3 + 1, dashLenLTF, dashGapLTF)) : na, title='LTF EMA52 4', color=color.new(f_paletteColor(3), 30), linewidth=lineWidthLTF, style=plot.style_line)
// 右侧标签(仅在最后一根柱更新,避免重复创建)
var label[] htfLabels = array.new_label()
var label[] ltfLabels = array.new_label()
var string lastTicker = na
var string lastTf = na
if barstate.isfirst
for _i = 0 to MAX_HTF - 1
array.push(htfLabels, na)
for _j = 0 to MAX_LTF - 1
array.push(ltfLabels, na)
lastTicker := syminfo.tickerid
lastTf := timeframe.period
// 更新/清理标签
// 如果品种或周期变化,清理旧标签
symbolChanged = lastTicker != syminfo.tickerid
tfChanged = lastTf != timeframe.period
if symbolChanged or tfChanged
for i = 0 to MAX_HTF - 1
lab = array.get(htfLabels, i)
if not na(lab)
label.delete(lab)
array.set(htfLabels, i, na)
for i = 0 to MAX_LTF - 1
lab = array.get(ltfLabels, i)
if not na(lab)
label.delete(lab)
array.set(ltfLabels, i, na)
lastTicker := syminfo.tickerid
lastTf := timeframe.period
if barstate.islast
// 长级别
for i = 0 to MAX_HTF - 1
lab = array.get(htfLabels, i)
if enableHTF and i < htfCountSelected
tfStr = array.get(htfRes, i)
v = array.get(htfVals, i)
col = f_paletteColor(i)
txt = f_prettyTf(tfStr) + ' ' + str.tostring(v, format.mintick)
// 可视区间外则隐藏标签;区间内按真实价格绘制,确保与标尺一致
if protectAutoscale and not f_inRange(v)
if not na(lab)
label.delete(lab)
array.set(htfLabels, i, na)
else
if na(lab)
lab := label.new(bar_index + labelOffsetBars, v, txt, xloc=xloc.bar_index, yloc=yloc.price, style=label.style_label_left, textcolor=col, color=color.new(col, labelBgAlpha), size=f_strToSize(labelSize))
array.set(htfLabels, i, lab)
else
label.set_xy(lab, bar_index + labelOffsetBars, v)
label.set_text(lab, txt)
label.set_textcolor(lab, col)
label.set_color(lab, color.new(col, labelBgAlpha))
label.set_style(lab, label.style_label_left)
label.set_size(lab, f_strToSize(labelSize))
else
if not na(lab)
label.delete(lab)
array.set(htfLabels, i, na)
// 次级别
for i = 0 to MAX_LTF - 1
lab = array.get(ltfLabels, i)
if enableLTF and i < ltfCountSelected
tfStr = array.get(ltfSel, i)
v = array.get(ltfVals, i)
base = f_paletteColor(i)
col = color.new(base, 0)
txt = f_prettyTf(tfStr) + ' ' + str.tostring(v, format.mintick)
if protectAutoscale and not f_inRange(v)
if not na(lab)
label.delete(lab)
array.set(ltfLabels, i, na)
else
if na(lab)
lab := label.new(bar_index + labelOffsetBars, v, txt, xloc=xloc.bar_index, yloc=yloc.price, style=label.style_label_left, textcolor=col, color=color.new(col, labelBgAlpha + 10 > 100 ? 100 : labelBgAlpha + 10), size=f_strToSize(labelSize))
array.set(ltfLabels, i, lab)
else
label.set_xy(lab, bar_index + labelOffsetBars, v)
label.set_text(lab, txt)
label.set_textcolor(lab, col)
label.set_color(lab, color.new(col, labelBgAlpha + 10 > 100 ? 100 : labelBgAlpha + 10))
label.set_style(lab, label.style_label_left)
label.set_size(lab, f_strToSize(labelSize))
else
if not na(lab)
label.delete(lab)
array.set(ltfLabels, i, na)
// ======================== 备注 ========================
// 1) 当前周期通过 timeframe.period 自动识别,并用 timeframe.in_seconds(
// ) 转换成秒以进行相对大小比较。
// 2) 长级别/次级别集合从标准分辨率表中过滤得出,绘图数量受 MAX_* 与输入上限控制。
// 3) 虚线效果通过在 plot 中周期性输出 na 实现,性能优于逐柱绘制 line 对象。
// 4) 标签在最后一根柱更新,避免过量对象;颜色与曲线一致。
// 5) 次级别(低于当前)EMA52 也计算并显示,更新频率更高,默认更淡。
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// 自定义MACD柱子面积计算指标
// 作者: Claude AI
// 版本: 1.0
//@version=5
indicator("自定义MACD柱子面积", shorttitle="自定义MACD面积", overlay=false)
// MACD参数
fast_length = input.int(12, "快线长度", minval=1)
slow_length = input.int(26, "慢线长度", minval=1)
signal_length = input.int(9, "信号线长度", minval=1)
// 面积计算参数
reset_on_crossover = input.bool(true, "交叉时重置面积")
use_cumulative = input.bool(false, "使用累计总面积")
// 计算MACD
[macdLine, signalLine, histLine] = ta.macd(close, fast_length, slow_length, signal_length)
// 初始化面积变量
var float upArea = 0.0
var float downArea = 0.0
var float totalUpArea = 0.0
var float totalDownArea = 0.0
// 检测柱子正负性并累加面积
if histLine > 0
if use_cumulative
totalUpArea := totalUpArea + histLine
upArea := totalUpArea
else
upArea := upArea + histLine
// 当从负值转为正值时,根据设置决定是否重置下跌面积
if histLine[1] < 0 and reset_on_crossover
downArea := 0.0
else if histLine < 0
if use_cumulative
totalDownArea := totalDownArea + math.abs(histLine)
downArea := totalDownArea
else
downArea := downArea + math.abs(histLine)
// 当从正值转为负值时,根据设置决定是否重置上涨面积
if histLine[1] > 0 and reset_on_crossover
upArea := 0.0
// 绘制结果
upColor = color.new(color.green, 50)
downColor = color.new(color.red, 50)
plot(upArea, "上涨段面积", color=upColor, style=plot.style_area)
plot(downArea, "下跌段面积", color=downColor, style=plot.style_area)
plot(histLine, "MACD柱状图", color=histLine >= 0 ? color.green : color.red, style=plot.style_histogram)
plot(macdLine, "MACD", color=color.blue)
plot(signalLine, "信号线", color=color.orange)
// 添加文字标签
var label upLabel = na
var label downLabel = na
if barstate.islast
upLabel := label.new(
bar_index, upArea,
text="上涨面积: " + str.tostring(upArea, "#.##"),
color=color.green,
style=label.style_label_down,
textcolor=color.white)
downLabel := label.new(
bar_index, downArea * -1,
text="下跌面积: " + str.tostring(downArea, "#.##"),
color=color.red,
style=label.style_label_up,
textcolor=color.white)
label.delete(upLabel[1])
label.delete(downLabel[1])
// 绘制上涨/下跌面积比率
ratio = upArea / (downArea + 0.0001)
plot(ratio, "上涨/下跌比率", color=color.purple, linewidth=2)
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// 高级MACD背驰检测指标
// 作者: Claude AI
// 版本: 1.0
//@version=5
indicator("高级MACD背驰检测", shorttitle="高级MACD背驰", overlay=true)
// === 输入参数 ===
// MACD参数
fast_length = input.int(12, "MACD快线长度", minval=1, group="MACD设置")
slow_length = input.int(26, "MACD慢线长度", minval=1, group="MACD设置")
signal_length = input.int(9, "MACD信号线长度", minval=1, group="MACD设置")
src = input.source(close, "价格数据源", group="MACD设置")
// 背驰检测参数
lookback = input.int(10, "回溯检测周期", minval=5, group="背驰设置")
pivot_confirmation = input.int(3, "高低点确认柱数", minval=1, maxval=5, group="背驰设置")
regular_div = input.bool(true, "检测常规背驰", group="背驰类型")
hidden_div = input.bool(true, "检测隐形背驰", group="背驰类型")
// 显示设置
show_labels = input.bool(true, "显示文字标签", group="显示设置")
show_alerts = input.bool(true, "生成提醒", group="显示设置")
bull_color = input.color(color.green, "多头背驰颜色", group="显示设置")
bear_color = input.color(color.red, "空头背驰颜色", group="显示设置")
// === 计算指标 ===
// 计算MACD
[macdLine, signalLine, histLine] = ta.macd(src, fast_length, slow_length, signal_length)
// === 寻找峰谷 ===
// 函数:检测高点
isPivotHigh(len) =>
high[len] > high[len-1] and high[len] > high[len+1] and
high[len] > high[len-2] and high[len] > high[len+2]
// 函数:检测低点
isPivotLow(len) =>
low[len] < low[len-1] and low[len] < low[len+1] and
low[len] < low[len-2] and low[len] < low[len+2]
// 寻找价格和MACD的峰和谷
priceHighs = array.new_float(0)
priceLows = array.new_float(0)
macdHighs = array.new_float(0)
macdLows = array.new_float(0)
priceHighsPos = array.new_int(0)
priceLowsPos = array.new_int(0)
macdHighsPos = array.new_int(0)
macdLowsPos = array.new_int(0)
// 检测最近的高点和低点
for i = pivot_confirmation to lookback
if isPivotHigh(i)
array.push(priceHighs, high[i])
array.push(priceHighsPos, bar_index[i])
array.push(macdHighs, macdLine[i])
array.push(macdHighsPos, bar_index[i])
break
for i = pivot_confirmation to lookback
if isPivotLow(i)
array.push(priceLows, low[i])
array.push(priceLowsPos, bar_index[i])
array.push(macdLows, macdLine[i])
array.push(macdLowsPos, bar_index[i])
break
// === 背驰检测 ===
// 常规顶背驰:价格创新高,但MACD没有创新高
bearish_regular_divergence = false
if regular_div and array.size(priceHighs) >= 2 and array.size(macdHighs) >= 2
price_high_current = array.get(priceHighs, 0)
price_high_prev = array.get(priceHighs, 1)
macd_high_current = array.get(macdHighs, 0)
macd_high_prev = array.get(macdHighs, 1)
if price_high_current > price_high_prev and macd_high_current < macd_high_prev
bearish_regular_divergence := true
// 常规底背驰:价格创新低,但MACD没有创新低
bullish_regular_divergence = false
if regular_div and array.size(priceLows) >= 2 and array.size(macdLows) >= 2
price_low_current = array.get(priceLows, 0)
price_low_prev = array.get(priceLows, 1)
macd_low_current = array.get(macdLows, 0)
macd_low_prev = array.get(macdLows, 1)
if price_low_current < price_low_prev and macd_low_current > macd_low_prev
bullish_regular_divergence := true
// 隐形顶背驰:价格未创新高,但MACD创新高(上涨趋势中的调整)
bearish_hidden_divergence = false
if hidden_div and array.size(priceHighs) >= 2 and array.size(macdHighs) >= 2
price_high_current = array.get(priceHighs, 0)
price_high_prev = array.get(priceHighs, 1)
macd_high_current = array.get(macdHighs, 0)
macd_high_prev = array.get(macdHighs, 1)
if price_high_current < price_high_prev and macd_high_current > macd_high_prev
bearish_hidden_divergence := true
// 隐形底背驰:价格未创新低,但MACD创新低(下跌趋势中的反弹)
bullish_hidden_divergence = false
if hidden_div and array.size(priceLows) >= 2 and array.size(macdLows) >= 2
price_low_current = array.get(priceLows, 0)
price_low_prev = array.get(priceLows, 1)
macd_low_current = array.get(macdLows, 0)
macd_low_prev = array.get(macdLows, 1)
if price_low_current > price_low_prev and macd_low_current < macd_low_prev
bullish_hidden_divergence := true
// === 绘制背驰信号 ===
// 常规顶背驰标记
plotshape(
bearish_regular_divergence,
title="常规顶背驰",
location=location.abovebar,
color=bear_color,
style=shape.triangledown,
size=size.normal,
text="顶背驰")
// 常规底背驰标记
plotshape(
bullish_regular_divergence,
title="常规底背驰",
location=location.belowbar,
color=bull_color,
style=shape.triangleup,
size=size.normal,
text="底背驰")
// 隐形顶背驰标记
plotshape(
bearish_hidden_divergence,
title="隐形顶背驰",
location=location.abovebar,
color=color.new(bear_color, 50),
style=shape.xcross,
size=size.normal,
text="隐顶")
// 隐形底背驰标记
plotshape(
bullish_hidden_divergence,
title="隐形底背驰",
location=location.belowbar,
color=color.new(bull_color, 50),
style=shape.xcross,
size=size.normal,
text="隐底")
// === 显示标签 ===
if show_labels and barstate.islast
if bearish_regular_divergence
label.new(
bar_index, high,
text="常规顶背驰\n价格创新高但MACD未跟进",
color=bear_color,
style=label.style_label_down,
textcolor=color.white)
if bullish_regular_divergence
label.new(
bar_index, low,
text="常规底背驰\n价格创新低但MACD未跟进",
color=bull_color,
style=label.style_label_up,
textcolor=color.white)
if bearish_hidden_divergence
label.new(
bar_index, high,
text="隐形顶背驰\n价格未创新高但MACD创新高",
color=color.new(bear_color, 50),
style=label.style_label_down,
textcolor=color.white)
if bullish_hidden_divergence
label.new(
bar_index, low,
text="隐形底背驰\n价格未创新低但MACD创新低",
color=color.new(bull_color, 50),
style=label.style_label_up,
textcolor=color.white)
// === 生成提醒 ===
if show_alerts
if bearish_regular_divergence
alert("MACD常规顶背驰警告!", alert.freq_once_per_bar_close)
if bullish_regular_divergence
alert("MACD常规底背驰警告!", alert.freq_once_per_bar_close)
if bearish_hidden_divergence
alert("MACD隐形顶背驰警告!", alert.freq_once_per_bar_close)
if bullish_hidden_divergence
alert("MACD隐形底背驰警告!", alert.freq_once_per_bar_close)