Super Billion VVIPThis Pine Script code is an advanced script designed for TradingView. It integrates supply and demand zones, price action labels, zigzag lines, and a modified ATR-based SuperTrend indicator. Here's a breakdown of its key components:
Key Features
Supply and Demand Zones:
Automatically identifies and plots supply (resistance) and demand (support) zones using swing highs and lows.
Zones are extended dynamically and updated based on market movements.
Prevents overlapping zones by ensuring a minimum ATR-based buffer.
Zigzag Indicator:
Adds zigzag lines to connect significant swing highs and lows.
Helps identify market trends and potential turning points.
SuperTrend Indicator:
A trend-following component using ATR (Average True Range) with configurable periods and multipliers.
Provides buy and sell signals based on trend changes.
Includes alerts for trend direction changes.
Swing High/Low Labels:
Labels significant price action points as "HH" (Higher High), "LL" (Lower Low), etc., for easy visual reference.
Customizable Visuals:
Allows users to customize colors, label visibility, box widths, and more through inputs.
Alerts:
Generates alerts for buy/sell signals and trend direction changes.
Inputs and Settings
Supply and Demand Settings:
Swing length, zone width, and history size.
Visual Settings:
Toggle zigzag visibility, label colors, and highlight styles.
SuperTrend Settings:
ATR periods, multiplier, and signal visibility.
How to Use
Copy the script into the Pine Editor on TradingView.
Customize the input settings as per your trading strategy.
Add the script to your chart to visualize zones, trends, and signals.
Set alerts for buy/sell signals or trend changes.
Notes
Ensure the script complies with TradingView’s limitations (e.g., max objects).
Fine-tune settings based on the asset's volatility and timeframe.
Let me know if you need help optimizing or further explaining specific parts!
Indikator Bill Williams
Dynamic Support Resistance Strategy @tradingbauhausDynamic Support Resistance Strategy @tradingbauhaus
This script is designed to identify dynamic support and resistance levels on a trading chart based on pivots (highs and lows) detected over a specific period. It also includes a basic strategy logic to generate entry signals when the price breaks these support or resistance levels. Below is a step-by-step explanation of how it works:
How the Script Works:
Pivot Detection:
The script identifies pivots (highs and lows) using the pivothigh and pivotlow functions.
The period for detecting pivots is configurable (Pivot Period).
The source for pivots can be either High/Low (highs and lows) or Close/Open (close and open), depending on user selection.
Creation of Support and Resistance Channels:
The detected pivots are used to create dynamic support and resistance channels.
The maximum channel width is defined as a percentage (Maximum Channel Width %) of the price range over a 300-bar period.
Only channels containing a minimum number of pivots (Minimum Strength) are considered valid.
Visualization of Channels:
Support and resistance channels are plotted on the chart as shaded areas.
Channel colors are customizable:
Resistance: Red.
Support: Blue.
Channel (price inside): Gray.
Optionally, the detected pivots can be displayed on the chart.
Breakout Detection:
The script checks if the price breaks a support or resistance level.
If the price breaks a resistance level, a buy signal is generated.
If the price breaks a support level, a sell signal is generated.
Breakouts are visually marked with triangles (optional) and trigger alerts.
Moving Averages (Optional):
The script allows displaying two moving averages (SMA or EMA) with configurable periods.
These moving averages can be used as additional reference tools for analysis.
Strategy Logic:
When the price breaks a resistance level, the script enters a long position.
When the price breaks a support level, the script enters a short position.
Script Workflow:
Pivot Identification:
The script searches for highs and lows on the chart based on the configurable period.
These pivots are stored in arrays for later use.
Channel Creation:
For each pivot, the script calculates a support/resistance channel, ensuring it meets the maximum width and minimum pivot requirements.
Valid channels are stored and sorted by "strength" (number of included pivots).
Visualization:
Channels are plotted on the chart as shaded areas using the configured colors.
If enabled, pivots are marked on the chart with labels.
Breakout Detection:
The script checks if the price has broken a support or resistance level on the current bar.
If a breakout is detected, a signal is generated and optionally marked on the chart.
Strategy:
If the price breaks a resistance level, a buy signal is triggered.
If the price breaks a support level, a sell signal is triggered.
User Configuration:
The script allows customization of several parameters to adapt it to different trading styles and assets:
Pivot Period: Period for detecting pivots.
Source: Source for pivots (High/Low or Close/Open).
Maximum Channel Width %: Maximum channel width as a percentage of the price range.
Minimum Strength: Minimum number of pivots required to form a channel.
Maximum Number of S/R: Maximum number of channels to display.
Loopback Period: Lookback period for detecting pivots.
Colors: Customization of colors for resistance, support, and channel.
Extras: Options to display pivots, breakouts, and moving averages.
Example Use Case:
Chart Analysis:
On a daily chart, the script identifies key support and resistance levels based on pivots from the last 10 candles.
Channels are plotted as shaded areas, providing a clear visualization of key zones.
Breakout Trading:
If the price breaks a resistance level, the script generates a buy signal.
If the price breaks a support level, the script generates a sell signal.
Moving Averages:
If moving averages are enabled, they can be used as additional confirmation for signals.
Conclusion:
This script is a powerful tool for traders looking to identify dynamic support and resistance levels and capitalize on breakouts as trading signals. Its flexibility and customization make it suitable for a variety of assets and timeframes.
Support & Resistance + Range Filter + Volume Profile//@version=5
indicator("Support & Resistance + Range Filter + Volume Profile ", overlay=true, max_boxes_count=500, max_lines_count=500, max_bars_back=5000)
// ---------------------------------------------------------------------------------------------------------------------}
// 𝙐𝙎𝙀𝙍 𝙄𝙉𝙋𝙐𝙉𝙏𝙎
// ---------------------------------------------------------------------------------------------------------------------{
// Support and Resistance Inputs
int lookbackPeriod = input.int(20, "Lookback Period", minval=1, group="Support & Resistance")
int vol_len = input.int(2, "Delta Volume Filter Length", tooltip="Higher input, will filter low volume boxes", group="Support & Resistance")
float box_width = input.float(1, "Adjust Box Width", maxval=1000, minval=0, step=0.1, group="Support & Resistance")
// Range Filter Inputs
src = input(close, title="Source", group="Range Filter")
per = input.int(100, minval=1, title="Sampling Period", group="Range Filter")
mult = input.float(3.0, minval=0.1, title="Range Multiplier", group="Range Filter")
// Range Filter Colors
upColor = input.color(color.white, "Up Color", group="Range Filter")
midColor = input.color(#90bff9, "Mid Color", group="Range Filter")
downColor = input.color(color.blue, "Down Color", group="Range Filter")
// Volume Profile Inputs
vpGR = 'Volume & Sentiment Profile'
vpSH = input.bool(true, 'Volume Profile', group=vpGR)
vpUC = input.color(color.new(#5d606b, 50), ' Up Volume ', inline='VP', group=vpGR)
vpDC = input.color(color.new(#d1d4dc, 50), 'Down Volume ', inline='VP', group=vpGR)
vaUC = input.color(color.new(#2962ff, 30), ' Value Area Up', inline='VA', group=vpGR)
vaDC = input.color(color.new(#fbc02d, 30), 'Value Area Down', inline='VA', group=vpGR)
spSH = input.bool(true, 'Sentiment Profile', group=vpGR)
spUC = input.color(color.new(#26a69a, 30), ' Bullish', inline='BB', group=vpGR)
spDC = input.color(color.new(#ef5350, 30), 'Bearish', inline='BB', group=vpGR)
sdSH = input.bool(true, 'Supply & Demand Zones', group=vpGR)
sdTH = input.int(15, ' Supply & Demand Threshold %', minval=0, maxval=41, group=vpGR) / 100
sdSC = input.color(color.new(#ec1313, 80), ' Supply Zones', inline='SD', group=vpGR)
sdDC = input.color(color.new(#0094FF, 80), 'Demand Zones', inline='SD', group=vpGR)
pcSH = input.string('Developing POC', 'Point of Control', options= , inline='POC', group=vpGR)
pocC = input.color(#f44336, '', inline='POC', group=vpGR)
pocW = input.int(2, '', minval=1, inline='POC', group=vpGR)
vpVA = input.float(68, 'Value Area (%)', minval=0, maxval=100, group=vpGR) / 100
vahS = input.bool(true, 'Value Area High (VAH)', inline='VAH', group=vpGR)
vahC = input.color(#2962ff, '', inline='VAH', group=vpGR)
vahW = input.int(1, '', minval=1, inline='VAH', group=vpGR)
vlSH = input.bool(true, 'Value Area Low (VAL)', inline='VAL', group=vpGR)
valC = input.color(#2962ff, '', inline='VAL', group=vpGR)
valW = input.int(1, '', minval=1, inline='VAL', group=vpGR)
vpPT = input.string('Bar Polarity', 'Profile Polarity Method', options= , group=vpGR)
vpLR = input.string('Fixed Range', 'Profile Lookback Range', options= , group=vpGR)
vpLN = input.int(360, 'Lookback Length / Fixed Range', minval=10, maxval=5000, step=10, group=vpGR)
vpST = input.bool(true, 'Profile Stats', inline='STT', group=vpGR)
ppLS = input.string('Small', "", options= , inline='STT', group=vpGR)
lcDB = input.string('Top Right', '', options= , inline='STT', group=vpGR)
vpLV = input.bool(true, 'Profile Price Levels', inline='BBe', group=vpGR)
rpLS = input.string('Small', "", options= , inline='BBe', group=vpGR)
vpPL = input.string('Right', 'Profile Placement', options= , group=vpGR)
vpNR = input.int(100, 'Profile Number of Rows', minval=10, maxval=150, step=10, group=vpGR)
vpWD = input.float(31, 'Profile Width', minval=0, maxval=250, group=vpGR) / 100
vpHO = input.int(13, 'Profile Horizontal Offset', maxval=50, group=vpGR)
vaBG = input.bool(false, 'Value Area Background ', inline='vBG', group=vpGR)
vBGC = input.color(color.new(#2962ff, 89), '', inline='vBG', group=vpGR)
vpBG = input.bool(false, 'Profile Range Background ', inline='pBG', group=vpGR)
bgC = input.color(color.new(#2962ff, 95), '', inline='pBG', group=vpGR)
vhGR = 'Volume Histogram'
vhSH = input.bool(true, 'Volume Histogram', group=vhGR)
vmaS = input.bool(true, 'Volume MA, Length', inline='vol2', group=vhGR)
vmaL = input.int(21, '', minval=1, inline='vol2', group=vhGR)
vhUC = input.color(color.new(#26a69a, 30), ' Growing', inline='vol1', group=vhGR)
vhDC = input.color(color.new(#ef5350, 30), 'Falling', inline='vol1', group=vhGR)
vmaC = input.color(color.new(#2962ff, 0), 'Volume MA', inline='vol1', group=vhGR)
vhPL = input.string('Top', ' Placement', options= , group=vhGR)
vhHT = 11 - input.int(8, ' Hight', minval=1, maxval=10, group=vhGR)
vhVO = input.int(1, ' Vertical Offset', minval=0, maxval=20, group=vhGR) / 20
cbGR = 'Volume Weighted Colored Bars'
vwcb = input.bool(false, 'Volume Weighted Colored Bars', group=cbGR)
upTH = input.float(1.618, ' Upper Threshold', minval=1., step=.1, group=cbGR)
dnTH = input.float(0.618, ' Lower Threshold', minval=.1, step=.1, group=cbGR)
// ---------------------------------------------------------------------------------------------------------------------}
// 𝙎𝙐𝙋𝙋𝙊𝙍𝙏 𝘼𝙉𝘿 𝙍𝙀𝙎𝙄𝙎𝙏𝘼𝙉𝘾𝙀 𝘾𝘼𝙇𝘾𝙐𝙇𝘼𝙏𝙄𝙊𝙉𝙎
// ---------------------------------------------------------------------------------------------------------------------{
// Delta Volume Function
upAndDownVolume() =>
posVol = 0.0
negVol = 0.0
var isBuyVolume = true
switch
close > open => isBuyVolume := true
close < open => isBuyVolume := false
if isBuyVolume
posVol += volume
else
negVol -= volume
posVol + negVol
// Function to identify support and resistance boxes
calcSupportResistance(src, lookbackPeriod) =>
Vol = upAndDownVolume()
vol_hi = ta.highest(Vol/2.5, vol_len)
vol_lo = ta.lowest(Vol/2.5, vol_len)
var float supportLevel = na
var float resistanceLevel = na
var box sup = na
var box res = na
var color res_color = na
var color sup_color = na
// Find pivot points
pivotHigh = ta.pivothigh(src, lookbackPeriod, lookbackPeriod)
pivotLow = ta.pivotlow (src, lookbackPeriod, lookbackPeriod)
atr = ta.atr(200)
withd = atr * box_width
// Find support levels with Positive Volume
if (not na(pivotLow)) and Vol > vol_hi
supportLevel := pivotLow
topLeft = chart.point.from_index(bar_index-lookbackPeriod, supportLevel)
bottomRight = chart.point.from_index(bar_index, supportLevel-withd)
sup_color := color.from_gradient(Vol, 0, ta.highest(Vol, 25), color(na), color.new(color.green, 30))
sup := box.new(topLeft, bottomRight, border_color=color.green, border_width=1, bgcolor=sup_color, text="Vol: "+str.tostring(math.round(Vol,2)), text_color=chart.fg_color, text_size=size.small)
// Find resistance levels with Negative Volume
if (not na(pivotHigh)) and Vol < vol_lo
resistanceLevel := pivotHigh
topLeft = chart.point.from_index(bar_index-lookbackPeriod, resistanceLevel)
bottomRight = chart.point.from_index(bar_index, resistanceLevel+withd)
res_color := color.from_gradient(Vol, ta.lowest(Vol, 25), 0, color.new(color.red, 30), color(na))
res := box.new(topLeft, bottomRight, border_color=color.red, border_width=1, bgcolor=res_color, text="Vol: "+str.tostring(math.round(Vol,2)), text_color=chart.fg_color, text_size=size.small)
= calcSupportResistance(close, lookbackPeriod)
// ---------------------------------------------------------------------------------------------------------------------}
// 𝙍𝘼𝙉𝙂𝙀 𝙁𝙄𝙇𝙏𝙀𝙍 𝘾𝘼𝙇𝘾𝙐𝙇𝘼𝙏𝙄𝙊𝙉𝙎
// ---------------------------------------------------------------------------------------------------------------------{
// Smooth Average Range
smoothrng(x, t, m) =>
wper = t * 2 - 1
avrng = ta.ema(math.abs(x - x ), t)
smoothrng = ta.ema(avrng, wper) * m
smoothrng
smrng = smoothrng(src, per, mult)
// Range Filter
rngfilt(x, r) =>
rngfilt = x
rngfilt := x > nz(rngfilt ) ? x - r < nz(rngfilt ) ? nz(rngfilt ) : x - r :
x + r > nz(rngfilt ) ? nz(rngfilt ) : x + r
rngfilt
filt = rngfilt(src, smrng)
// Filter Direction
upward = 0.0
upward := filt > filt ? nz(upward ) + 1 : filt < filt ? 0 : nz(upward )
downward = 0.0
downward := filt < filt ? nz(downward ) + 1 : filt > filt ? 0 : nz(downward )
// Target Bands
hband = filt + smrng
lband = filt - smrng
// Colors
filtcolor = upward > 0 ? upColor : downward > 0 ? downColor : midColor
barcolor = src > filt and src > src and upward > 0 ? upColor :
src > filt and src < src and upward > 0 ? upColor :
src < filt and src < src and downward > 0 ? downColor :
src < filt and src > src and downward > 0 ? downColor : midColor
filtplot = plot(filt, color=filtcolor, linewidth=2, title="Range Filter")
hbandplot = plot(hband, color=color.new(upColor, 70), title="High Target")
lbandplot = plot(lband, color=color.new(downColor, 70), title="Low Target")
// Fills
fill(hbandplot, filtplot, color=color.new(upColor, 90), title="High Target Range")
fill(lbandplot, filtplot, color=color.new(downColor, 90), title="Low Target Range")
// Break Outs
longCond = bool(na)
shortCond = bool(na)
longCond := src > filt and src > src and upward > 0 or
src > filt and src < src and upward > 0
shortCond := src < filt and src < src and downward > 0 or
src < filt and src > src and downward > 0
CondIni = 0
CondIni := longCond ? 1 : shortCond ? -1 : CondIni
longCondition = longCond and CondIni == -1
shortCondition = shortCond and CondIni == 1
// Plot Buy/Sell Signals
plotshape(longCondition, title="Buy Signal", text="Buy", textcolor=color.white, style=shape.labelup, size=size.small, location=location.belowbar, color=color.new(#aaaaaa, 20))
plotshape(shortCondition, title="Sell Signal", text="Sell", textcolor=color.white, style=shape.labeldown, size=size.small, location=location.abovebar, color=color.new(downColor, 20))
// ---------------------------------------------------------------------------------------------------------------------}
// 𝙑𝙊𝙇𝙐𝙈𝙀 𝙋𝙍𝙊𝙁𝙄𝙇𝙀 𝘾𝘼𝙇𝘾𝙐𝙇𝘼𝙏𝙄𝙊𝙉𝙎
// ---------------------------------------------------------------------------------------------------------------------{
// (Include the Volume Profile calculations and visualizations from the original script here)
// ...
// ---------------------------------------------------------------------------------------------------------------------}
// 𝙑𝙄𝙎𝙐𝘼𝙇𝙄𝙕𝘼𝙏𝙄𝙊𝙉
// ---------------------------------------------------------------------------------------------------------------------{
// (Include the visualization logic from the Volume Profile script here)
// ...
// ---------------------------------------------------------------------------------------------------------------------}
// 𝘼𝙇𝙀𝙍𝙏𝙎
// ---------------------------------------------------------------------------------------------------------------------{
// (Include the alert conditions from the Volume Profile script here)
// ...
// ---------------------------------------------------------------------------------------------------------------------}
Custom Awesome OscillatorIndicator based on Awesome Oscillator. Histogram turns green on RSI overbought conditions and red on oversold conditions. Background is set against Bollinger Bands expansion and contraction. Perhaps it would be better to uncheck the RSI setting.
5분봉 레버리지 20배 자동매매 전략 (최종)//@version=5
indicator("5분봉 레버리지 20배 자동매매 전략 (최종)", overlay=true)
// === PARAMETERS ===
// RSI
rsiPeriod = input.int(14, title="RSI Period", minval=1)
overbought = input.float(70.0, title="RSI Overbought Level", step=0.1)
oversold = input.float(30.0, title="RSI Oversold Level", step=0.1)
// 이동평균선
smaShort = input.int(50, title="Short SMA Length", minval=1)
smaLong = input.int(200, title="Long SMA Length", minval=1)
// 리스크 관리
takeProfit = input.float(3.0, title="Take Profit %", step=0.1)
stopLoss = input.float(1.0, title="Stop Loss %", step=0.1)
// === INDICATORS ===
// RSI
rsiValue = ta.rsi(close, rsiPeriod)
// 이동평균선
smaShortValue = ta.sma(close, smaShort)
smaLongValue = ta.sma(close, smaLong)
// MACD
= ta.macd(close, 12, 26, 9)
// 볼린저 밴드
= ta.bb(close, 20, 2)
// 프랙탈
bullishFractal = ta.pivotlow(low, 2, 2) // 하락 프랙탈
bearishFractal = ta.pivothigh(high, 2, 2) // 상승 프랙탈
// 엘리어트 파동 (간단한 패턴 분석)
wave1 = (rsiValue < oversold) and (smaShortValue > smaLongValue) and (macdLine > signalLine)
wave3 = (rsiValue > oversold) and (macdLine > signalLine) and (close > upperBB)
wave5 = (rsiValue > 70) and (macdLine < signalLine) and (close > smaLongValue)
waveA = (rsiValue > overbought) and (macdLine < signalLine) and (close < smaShortValue)
waveC = (rsiValue < 30) and (macdLine > signalLine) and (close < lowerBB)
// === LONG ENTRY CONDITION ===
longCondition = (rsiValue < oversold) and (smaShortValue > smaLongValue) and (macdLine > signalLine) and (close <= lowerBB) and not na(bullishFractal) and (wave1 or wave5)
// === SHORT ENTRY CONDITION ===
shortCondition = (rsiValue > overbought) and (smaShortValue < smaLongValue) and (macdLine < signalLine) and (close >= upperBB) and not na(bearishFractal) and (waveA or waveC)
// === ALERTS ===
if (longCondition)
alert("LONG_SIGNAL", alert.freq_once_per_bar)
if (shortCondition)
alert("SHORT_SIGNAL", alert.freq_once_per_bar)
// === VISUAL INDICATORS ===
// 이동평균선
plot(smaShortValue, title="SMA 50", color=color.blue)
plot(smaLongValue, title="SMA 200", color=color.red)
// 볼린저 밴드
plot(upperBB, title="Upper BB", color=color.green)
plot(lowerBB, title="Lower BB", color=color.red)
// RSI 레벨
hline(overbought, "RSI Overbought", color=color.red)
hline(oversold, "RSI Oversold", color=color.green)
plot(rsiValue, title="RSI", color=color.purple)
// 프랙탈 표시
plotshape(not na(bullishFractal), title="Bullish Fractal", style=shape.triangleup, location=location.belowbar, color=color.green, size=size.small, text="Bull")
plotshape(not na(bearishFractal), title="Bearish Fractal", style=shape.triangledown, location=location.abovebar, color=color.red, size=size.small, text="Bear")
// ENTRY POINT 표시
var float lastLongEntry = na
var float lastShortEntry = na
if (longCondition)
lastLongEntry := close
if (shortCondition)
lastShortEntry := close
plotshape(not na(lastLongEntry), title="Long Entry Point", style=shape.labelup, location=location.belowbar, color=color.green, text="LONG")
plotshape(not na(lastShortEntry), title="Short Entry Point", style=shape.labeldown, location=location.abovebar, color=color.red, text="SHORT")
Volume-Based RSI Color Indicator with MAsThis is not a typical RSI indicator; it is a unique variation that integrates volume analysis and moving averages (MAs) for the RSI. Here's how it stands out:
Volume-Based Color Coding: The RSI line changes color based on it's level
(overbought/oversold) and volume conditions. For example:
Red: RSI is overbought, and volume is significantly higher than average.
Green: RSI is oversold, and volume is significantly higher than average.
Blue: Default color for other scenarios.
RSI Moving Averages: it includes long-period (200) and short-period (20) moving averages of
the RSI, calculated using SMA or EMA, based on user preference. this adds a trend-
following component to the RSI analysis.
Customization Options: The script allows users to adjust parameters like RSI length,
overbought/oversold levels, high-volume multiplier, and MA type lengths.
These enhancements make the indicator more dynamic and tailored for traders looking to incorporate both momentum and volume trends into their strategy.
5분봉 자동매매 전략 (최적화: 안정화)//@version=5
strategy("5분봉 자동매매 전략 (최적화: 안정화)", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=100)
// === PARAMETERS ===
// RSI
rsiPeriod = input.int(14, title="RSI Period", minval=1)
overbought = input.float(70.0, title="RSI Overbought Level", step=0.1)
oversold = input.float(30.0, title="RSI Oversold Level", step=0.1)
// 이동평균선
smaShort = input.int(50, title="Short SMA Length", minval=1)
smaLong = input.int(200, title="Long SMA Length", minval=1)
// 거래량 필터
volumeThreshold = input.float(1.2, title="Volume Multiplier", step=0.1)
// 리스크 관리
takeProfit = input.float(3.0, title="Take Profit %", step=0.1)
stopLoss = input.float(1.0, title="Stop Loss %", step=0.1)
trailOffset = input.float(0.5, title="Trailing Stop Offset (Points)", step=0.1)
// === INDICATORS ===
rsiValue = ta.rsi(close, rsiPeriod)
smaShortValue = ta.sma(close, smaShort)
smaLongValue = ta.sma(close, smaLong)
= ta.macd(close, 12, 26, 9)
= ta.bb(close, 20, 2)
avgVolume = ta.sma(volume, 20)
// 상위 시간대 RSI 필터
higherRSI = request.security(syminfo.tickerid, "15", ta.rsi(close, rsiPeriod), lookahead=barmerge.lookahead_on)
// === LONG ENTRY CONDITION ===
longCondition = (rsiValue < oversold) and
(smaShortValue > smaLongValue) and
(macdLine > signalLine) and
(close <= lowerBB) and
(volume > avgVolume * volumeThreshold) and
(higherRSI < 50)
// === SHORT ENTRY CONDITION ===
shortCondition = (rsiValue > overbought) and
(smaShortValue < smaLongValue) and
(macdLine < signalLine) and
(close >= upperBB) and
(volume > avgVolume * volumeThreshold) and
(higherRSI > 50)
// === POSITIONS ===
if (longCondition and strategy.position_size == 0)
strategy.entry("Long", strategy.long)
strategy.exit("Long Exit", stop=strategy.position_avg_price * (1 - stopLoss / 100), limit=strategy.position_avg_price * (1 + takeProfit / 100), trail_points=trailOffset)
if (shortCondition and strategy.position_size == 0)
strategy.entry("Short", strategy.short)
strategy.exit("Short Exit", stop=strategy.position_avg_price * (1 + stopLoss / 100), limit=strategy.position_avg_price * (1 - takeProfit / 100), trail_points=trailOffset)
// === 손절 신호 표시 ===
var bool stopLongShown = false
var bool stopShortShown = false
if (strategy.position_size > 0 and close <= strategy.position_avg_price * (1 - stopLoss / 100) and not stopLongShown)
label.new(bar_index, close, text="STOP_LONG", color=color.red, style=label.style_label_down, textcolor=color.white)
stopLongShown := true
if (strategy.position_size < 0 and close >= strategy.position_avg_price * (1 + stopLoss / 100) and not stopShortShown)
label.new(bar_index, close, text="STOP_SHORT", color=color.red, style=label.style_label_up, textcolor=color.white)
stopShortShown := true
if (strategy.position_size == 0)
stopLongShown := false
stopShortShown := false
// === VISUAL INDICATORS ===
plot(smaShortValue, title="SMA 50", color=color.blue)
plot(smaLongValue, title="SMA 200", color=color.red)
plot(upperBB, title="Upper BB", color=color.green)
plot(lowerBB, title="Lower BB", color=color.red)
plot(rsiValue, title="RSI", color=color.purple)
plot(longCondition ? close : na, title="Long Signal", style=plot.style_cross, color=color.green, linewidth=2)
plot(shortCondition ? close : na, title="Short Signal", style=plot.style_cross, color=color.red, linewidth=2)
Custom OHLC Levelshgjfkjfhkhjkg hklgujk,ghkghk,l,l;g,hgikghulhujlguilgiulllgyuklhvkgyuhkuhkyukyukygukygukyukygukygukyugkyukyukyukyukyukuykyuk
5분봉 자동매매 전략 (최적화: 안정화)//@version=5
strategy("5분봉 자동매매 전략 (최적화: 안정화)", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=100)
// === PARAMETERS ===
// RSI
rsiPeriod = input.int(14, title="RSI Period", minval=1)
overbought = input.float(70.0, title="RSI Overbought Level", step=0.1)
oversold = input.float(30.0, title="RSI Oversold Level", step=0.1)
// 이동평균선
smaShort = input.int(50, title="Short SMA Length", minval=1)
smaLong = input.int(200, title="Long SMA Length", minval=1)
// 거래량 필터
volumeThreshold = input.float(1.2, title="Volume Multiplier", step=0.1)
// 리스크 관리
takeProfit = input.float(3.0, title="Take Profit %", step=0.1)
stopLoss = input.float(1.0, title="Stop Loss %", step=0.1)
trailOffset = input.float(0.5, title="Trailing Stop Offset (Points)", step=0.1)
// === INDICATORS ===
rsiValue = ta.rsi(close, rsiPeriod)
smaShortValue = ta.sma(close, smaShort)
smaLongValue = ta.sma(close, smaLong)
= ta.macd(close, 12, 26, 9)
= ta.bb(close, 20, 2)
avgVolume = ta.sma(volume, 20)
// 상위 시간대 RSI 필터
higherRSI = request.security(syminfo.tickerid, "15", ta.rsi(close, rsiPeriod), lookahead=barmerge.lookahead_on)
// === LONG ENTRY CONDITION ===
longCondition = (rsiValue < oversold) and
(smaShortValue > smaLongValue) and
(macdLine > signalLine) and
(close <= lowerBB) and
(volume > avgVolume * volumeThreshold) and
(higherRSI < 50)
// === SHORT ENTRY CONDITION ===
shortCondition = (rsiValue > overbought) and
(smaShortValue < smaLongValue) and
(macdLine < signalLine) and
(close >= upperBB) and
(volume > avgVolume * volumeThreshold) and
(higherRSI > 50)
// === POSITIONS ===
if (longCondition and strategy.position_size == 0)
strategy.entry("Long", strategy.long)
strategy.exit("Long Exit", stop=strategy.position_avg_price * (1 - stopLoss / 100), limit=strategy.position_avg_price * (1 + takeProfit / 100), trail_points=trailOffset)
if (shortCondition and strategy.position_size == 0)
strategy.entry("Short", strategy.short)
strategy.exit("Short Exit", stop=strategy.position_avg_price * (1 + stopLoss / 100), limit=strategy.position_avg_price * (1 - takeProfit / 100), trail_points=trailOffset)
// === 손절 신호 표시 ===
var bool stopLongShown = false
var bool stopShortShown = false
if (strategy.position_size > 0 and close <= strategy.position_avg_price * (1 - stopLoss / 100) and not stopLongShown)
label.new(bar_index, close, text="STOP_LONG", color=color.red, style=label.style_label_down, textcolor=color.white)
stopLongShown := true
if (strategy.position_size < 0 and close >= strategy.position_avg_price * (1 + stopLoss / 100) and not stopShortShown)
label.new(bar_index, close, text="STOP_SHORT", color=color.red, style=label.style_label_up, textcolor=color.white)
stopShortShown := true
if (strategy.position_size == 0)
stopLongShown := false
stopShortShown := false
// === VISUAL INDICATORS ===
plot(smaShortValue, title="SMA 50", color=color.blue)
plot(smaLongValue, title="SMA 200", color=color.red)
plot(upperBB, title="Upper BB", color=color.green)
plot(lowerBB, title="Lower BB", color=color.red)
plot(rsiValue, title="RSI", color=color.purple)
plot(longCondition ? close : na, title="Long Signal", style=plot.style_cross, color=color.green, linewidth=2)
plot(shortCondition ? close : na, title="Short Signal", style=plot.style_cross, color=color.red, linewidth=2)
5분봉 레버리지 20배 자동매매 전략 (최종)//@version=5
indicator("5분봉 레버리지 20배 자동매매 전략 (최종)", overlay=true)
// === PARAMETERS ===
// RSI
rsiPeriod = input.int(14, title="RSI Period", minval=1)
overbought = input.float(70.0, title="RSI Overbought Level", step=0.1)
oversold = input.float(30.0, title="RSI Oversold Level", step=0.1)
// 이동평균선
smaShort = input.int(50, title="Short SMA Length", minval=1)
smaLong = input.int(200, title="Long SMA Length", minval=1)
// 리스크 관리
takeProfit = input.float(3.0, title="Take Profit %", step=0.1)
stopLoss = input.float(1.0, title="Stop Loss %", step=0.1)
// === INDICATORS ===
// RSI
rsiValue = ta.rsi(close, rsiPeriod)
// 이동평균선
smaShortValue = ta.sma(close, smaShort)
smaLongValue = ta.sma(close, smaLong)
// MACD
= ta.macd(close, 12, 26, 9)
// 볼린저 밴드
= ta.bb(close, 20, 2)
// 프랙탈
bullishFractal = ta.pivotlow(low, 2, 2) // 하락 프랙탈
bearishFractal = ta.pivothigh(high, 2, 2) // 상승 프랙탈
// 엘리어트 파동 (간단한 패턴 분석)
wave1 = (rsiValue < oversold) and (smaShortValue > smaLongValue) and (macdLine > signalLine)
wave3 = (rsiValue > oversold) and (macdLine > signalLine) and (close > upperBB)
wave5 = (rsiValue > 70) and (macdLine < signalLine) and (close > smaLongValue)
waveA = (rsiValue > overbought) and (macdLine < signalLine) and (close < smaShortValue)
waveC = (rsiValue < 30) and (macdLine > signalLine) and (close < lowerBB)
// === LONG ENTRY CONDITION ===
longCondition = (rsiValue < oversold) and (smaShortValue > smaLongValue) and (macdLine > signalLine) and (close <= lowerBB) and not na(bullishFractal) and (wave1 or wave5)
// === SHORT ENTRY CONDITION ===
shortCondition = (rsiValue > overbought) and (smaShortValue < smaLongValue) and (macdLine < signalLine) and (close >= upperBB) and not na(bearishFractal) and (waveA or waveC)
// === ALERTS ===
if (longCondition)
alert("LONG_SIGNAL", alert.freq_once_per_bar)
if (shortCondition)
alert("SHORT_SIGNAL", alert.freq_once_per_bar)
// === VISUAL INDICATORS ===
// 이동평균선
plot(smaShortValue, title="SMA 50", color=color.blue)
plot(smaLongValue, title="SMA 200", color=color.red)
// 볼린저 밴드
plot(upperBB, title="Upper BB", color=color.green)
plot(lowerBB, title="Lower BB", color=color.red)
// RSI 레벨
hline(overbought, "RSI Overbought", color=color.red)
hline(oversold, "RSI Oversold", color=color.green)
plot(rsiValue, title="RSI", color=color.purple)
// 프랙탈 표시
plotshape(not na(bullishFractal), title="Bullish Fractal", style=shape.triangleup, location=location.belowbar, color=color.green, size=size.small, text="Bull")
plotshape(not na(bearishFractal), title="Bearish Fractal", style=shape.triangledown, location=location.abovebar, color=color.red, size=size.small, text="Bear")
// ENTRY POINT 표시
var float lastLongEntry = na
var float lastShortEntry = na
if (longCondition)
lastLongEntry := close
if (shortCondition)
lastShortEntry := close
plotshape(not na(lastLongEntry), title="Long Entry Point", style=shape.labelup, location=location.belowbar, color=color.green, text="LONG")
plotshape(not na(lastShortEntry), title="Short Entry Point", style=shape.labeldown, location=location.abovebar, color=color.red, text="SHORT")
Estratégia EMA20 e RSI//@version=5
indicator(title="Estratégia EMA20 e RSI", shorttitle="EMA20+RSI", overlay=true)
// Configurações da EMA
emaLength = input.int(20, title="Comprimento da EMA")
emaSource = input.source(close, title="Fonte da EMA")
emaValue = ta.ema(emaSource, emaLength)
// Configurações do RSI
rsiLength = input.int(14, title="Comprimento do RSI")
rsiOverbought = input.int(70, title="Nível de Sobrecompra do RSI", minval=50, maxval=100)
rsiOversold = input.int(30, title="Nível de Sobrevenda do RSI", minval=0, maxval=50)
rsiValue = ta.rsi(close, rsiLength)
// Plotagem da EMA
plot(emaValue, color=color.blue, title="EMA20", linewidth=2)
// Condições de entrada
longCondition = ta.crossover(close, emaValue) and rsiValue < rsiOversold
shortCondition = ta.crossunder(close, emaValue) and rsiValue > rsiOverbought
// Plotagem das setas de entrada
plotshape(series=longCondition, title="Sinal de Compra", location=location.belowbar, color=color.green, style=shape.triangleup, size=size.small)
plotshape(series=shortCondition, title="Sinal de Venda", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.small)
// Alertas
if longCondition
alert("Sinal de compra detectado! Fechamento acima da EMA20 e RSI em sobrevenda.", alert.freq_once_per_bar_close)
if shortCondition
alert("Sinal de venda detectado! Fechamento abaixo da EMA20 e RSI em sobrecompra.", alert.freq_once_per_bar_close)
EMA & RSI Buy/Sell Signalsbuy and sell signal for ema and rsi signals. has buy and sell signals for the perfect trade.
Realtime Trend Detection powered by MESACC John Ehlers.
The man, the myth, the legend.
Realtime trend detection, tripple crossed
Breakfree Trading | MAW 1.0.1-rc publicGG fuckers, now we win.
here is full code for the matrix glitch allowing predictive data of financial markets.
5분봉 자동매매 전략 (최적화: 안정화)//@version=5
strategy("5분봉 자동매매 전략 (최적화: 안정화)", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=100)
// === PARAMETERS ===
// RSI
rsiPeriod = input.int(14, title="RSI Period", minval=1)
overbought = input.float(70.0, title="RSI Overbought Level", step=0.1)
oversold = input.float(30.0, title="RSI Oversold Level", step=0.1)
// 이동평균선
smaShort = input.int(50, title="Short SMA Length", minval=1)
smaLong = input.int(200, title="Long SMA Length", minval=1)
// 거래량 필터
volumeThreshold = input.float(1.2, title="Volume Multiplier", step=0.1)
// 리스크 관리
takeProfit = input.float(3.0, title="Take Profit %", step=0.1)
stopLoss = input.float(1.0, title="Stop Loss %", step=0.1)
trailOffset = input.float(0.5, title="Trailing Stop Offset (Points)", step=0.1)
// === INDICATORS ===
rsiValue = ta.rsi(close, rsiPeriod)
smaShortValue = ta.sma(close, smaShort)
smaLongValue = ta.sma(close, smaLong)
= ta.macd(close, 12, 26, 9)
= ta.bb(close, 20, 2)
avgVolume = ta.sma(volume, 20)
// 상위 시간대 RSI 필터
higherRSI = request.security(syminfo.tickerid, "15", ta.rsi(close, rsiPeriod), lookahead=barmerge.lookahead_on)
// === LONG ENTRY CONDITION ===
longCondition = (rsiValue < oversold) and
(smaShortValue > smaLongValue) and
(macdLine > signalLine) and
(close <= lowerBB) and
(volume > avgVolume * volumeThreshold) and
(higherRSI < 50)
// === SHORT ENTRY CONDITION ===
shortCondition = (rsiValue > overbought) and
(smaShortValue < smaLongValue) and
(macdLine < signalLine) and
(close >= upperBB) and
(volume > avgVolume * volumeThreshold) and
(higherRSI > 50)
// === POSITIONS ===
if (longCondition and strategy.position_size == 0)
strategy.entry("Long", strategy.long)
strategy.exit("Long Exit", stop=strategy.position_avg_price * (1 - stopLoss / 100), limit=strategy.position_avg_price * (1 + takeProfit / 100), trail_points=trailOffset)
if (shortCondition and strategy.position_size == 0)
strategy.entry("Short", strategy.short)
strategy.exit("Short Exit", stop=strategy.position_avg_price * (1 + stopLoss / 100), limit=strategy.position_avg_price * (1 - takeProfit / 100), trail_points=trailOffset)
// === 손절 신호 표시 ===
var bool stopLongShown = false
var bool stopShortShown = false
if (strategy.position_size > 0 and close <= strategy.position_avg_price * (1 - stopLoss / 100) and not stopLongShown)
label.new(bar_index, close, text="STOP_LONG", color=color.red, style=label.style_label_down, textcolor=color.white)
stopLongShown := true
if (strategy.position_size < 0 and close >= strategy.position_avg_price * (1 + stopLoss / 100) and not stopShortShown)
label.new(bar_index, close, text="STOP_SHORT", color=color.red, style=label.style_label_up, textcolor=color.white)
stopShortShown := true
if (strategy.position_size == 0)
stopLongShown := false
stopShortShown := false
// === VISUAL INDICATORS ===
plot(smaShortValue, title="SMA 50", color=color.blue)
plot(smaLongValue, title="SMA 200", color=color.red)
plot(upperBB, title="Upper BB", color=color.green)
plot(lowerBB, title="Lower BB", color=color.red)
plot(rsiValue, title="RSI", color=color.purple)
plot(longCondition ? close : na, title="Long Signal", style=plot.style_cross, color=color.green, linewidth=2)
plot(shortCondition ? close : na, title="Short Signal", style=plot.style_cross, color=color.red, linewidth=2)
5분봉 레버리지 20배 자동매매 전략 (최종)//@version=5
indicator("5분봉 레버리지 20배 자동매매 전략 (최종)", overlay=true)
// === PARAMETERS ===
// RSI
rsiPeriod = input.int(14, title="RSI Period", minval=1)
overbought = input.float(70.0, title="RSI Overbought Level", step=0.1)
oversold = input.float(30.0, title="RSI Oversold Level", step=0.1)
// 이동평균선
smaShort = input.int(50, title="Short SMA Length", minval=1)
smaLong = input.int(200, title="Long SMA Length", minval=1)
// 리스크 관리
takeProfit = input.float(3.0, title="Take Profit %", step=0.1)
stopLoss = input.float(1.0, title="Stop Loss %", step=0.1)
// === INDICATORS ===
// RSI
rsiValue = ta.rsi(close, rsiPeriod)
// 이동평균선
smaShortValue = ta.sma(close, smaShort)
smaLongValue = ta.sma(close, smaLong)
// MACD
= ta.macd(close, 12, 26, 9)
// 볼린저 밴드
= ta.bb(close, 20, 2)
// 프랙탈
bullishFractal = ta.pivotlow(low, 2, 2) // 하락 프랙탈
bearishFractal = ta.pivothigh(high, 2, 2) // 상승 프랙탈
// 엘리어트 파동 (간단한 패턴 분석)
wave1 = (rsiValue < oversold) and (smaShortValue > smaLongValue) and (macdLine > signalLine)
wave3 = (rsiValue > oversold) and (macdLine > signalLine) and (close > upperBB)
wave5 = (rsiValue > 70) and (macdLine < signalLine) and (close > smaLongValue)
waveA = (rsiValue > overbought) and (macdLine < signalLine) and (close < smaShortValue)
waveC = (rsiValue < 30) and (macdLine > signalLine) and (close < lowerBB)
// === LONG ENTRY CONDITION ===
longCondition = (rsiValue < oversold) and (smaShortValue > smaLongValue) and (macdLine > signalLine) and (close <= lowerBB) and not na(bullishFractal) and (wave1 or wave5)
// === SHORT ENTRY CONDITION ===
shortCondition = (rsiValue > overbought) and (smaShortValue < smaLongValue) and (macdLine < signalLine) and (close >= upperBB) and not na(bearishFractal) and (waveA or waveC)
// === ALERTS ===
if (longCondition)
alert("LONG_SIGNAL", alert.freq_once_per_bar)
if (shortCondition)
alert("SHORT_SIGNAL", alert.freq_once_per_bar)
// === VISUAL INDICATORS ===
// 이동평균선
plot(smaShortValue, title="SMA 50", color=color.blue)
plot(smaLongValue, title="SMA 200", color=color.red)
// 볼린저 밴드
plot(upperBB, title="Upper BB", color=color.green)
plot(lowerBB, title="Lower BB", color=color.red)
// RSI 레벨
hline(overbought, "RSI Overbought", color=color.red)
hline(oversold, "RSI Oversold", color=color.green)
plot(rsiValue, title="RSI", color=color.purple)
// 프랙탈 표시
plotshape(not na(bullishFractal), title="Bullish Fractal", style=shape.triangleup, location=location.belowbar, color=color.green, size=size.small, text="Bull")
plotshape(not na(bearishFractal), title="Bearish Fractal", style=shape.triangledown, location=location.abovebar, color=color.red, size=size.small, text="Bear")
// ENTRY POINT 표시
var float lastLongEntry = na
var float lastShortEntry = na
if (longCondition)
lastLongEntry := close
if (shortCondition)
lastShortEntry := close
plotshape(not na(lastLongEntry), title="Long Entry Point", style=shape.labelup, location=location.belowbar, color=color.green, text="LONG")
plotshape(not na(lastShortEntry), title="Short Entry Point", style=shape.labeldown, location=location.abovebar, color=color.red, text="SHORT")
mathstrade 5 linefollow the chart .. Buy when Buy candle breaks , Sell when sell candle breaks Pvntradeguru
CAPIBARA V2CAPIBARA: Multi-Timeframe Average Signal Indicator
This indicator leverages the power of multi-timeframe analysis to provide reliable buy and sell signals. By calculating the average of closing prices across multiple timeframes, it identifies bullish and bearish trends with precision. Ideal for traders seeking to align their strategies with the broader market context, this tool is designed to help you make informed decisions with clarity and confidence.
Key Features:
Multi-Timeframe Analysis: Considers closing price averages from various timeframes for comprehensive market insight.
Bullish and Bearish Signal Detection: Accurately highlights potential entry and exit points.
User-Friendly Interface: Designed to be intuitive and easy to use for traders of all experience levels.
Versatile Application: Suitable for scalping and day trading.
Empower your trading strategy with this robust and adaptive indicator!
CAPIBARA INDICATORTitle: Multi-Timeframe Closing Price Analyzer
Description:
The Multi-Timeframe Closing Price Analyzer is a powerful tool designed to simplify trading decisions by leveraging multi-timeframe analysis. This indicator calculates the average closing price across multiple timeframes to identify bullish and bearish trends effectively.
Key Features:
Multi-Timeframe Analysis: Combines data from various timeframes to provide a comprehensive market outlook.
Bullish and Bearish Signals: Detects and highlights potential buy and sell opportunities based on average closing price trends.
User-Friendly Visualization: Clean and intuitive signal markers to enhance decision-making.
Customizable Settings: Easily adjust timeframes and analysis parameters to fit your trading style.
Whether you're a swing trader or a scalper, this indicator offers a robust framework for identifying high-probability trade setups and gaining an edge in the markets.
Profit Momentum Indicator @tradingbauhausThe Profit Momentum Indicator @tradingbauhaus combines two key technical concepts: the Squeeze and Momentum. Its purpose is to identify when the market is in a compression phase (periods of low volatility) and when it is generating momentum (strong movements in one direction). Below is a step-by-step explanation of how it works:
1. Bollinger Bands (BB)
Bollinger Bands are a volatility tool consisting of three lines:
Middle Band: A simple moving average (SMA) of the closing price.
Upper Band: The middle band plus a standard deviation multiplied by a factor (mult).
Lower Band: The middle band minus the same standard deviation multiplied by the factor.
Role in the Indicator:
Bollinger Bands measure market volatility. When the bands narrow, it indicates that the market is in a low-volatility phase (compressing).
2. Keltner Channel (KC)
The Keltner Channel is similar to Bollinger Bands but uses the Average True Range (ATR) or the simple range to measure volatility. It consists of:
Middle Line: A simple moving average (SMA) of the closing price.
Upper Line: The middle line plus the ATR (or simple range) multiplied by a factor (multKC).
Lower Line: The middle line minus the ATR (or simple range) multiplied by the same factor.
Role in the Indicator:
The Keltner Channel acts as an additional filter to confirm market compression. When Bollinger Bands are inside the Keltner Channel, the market is considered to be in a "squeeze."
3. Squeeze Conditions
The indicator defines three states based on the relationship between Bollinger Bands and the Keltner Channel:
Squeeze Active (sqzOn):
Occurs when Bollinger Bands are inside the Keltner Channel.
Indicates that the market is in a low-volatility phase and could be preparing for a strong move.
Squeeze Inactive (sqzOff):
Occurs when Bollinger Bands are outside the Keltner Channel.
Indicates that the market is in a high-volatility phase and could be trending.
No Squeeze (noSqz):
Occurs when neither of the above conditions is met.
4. Momentum Calculation
Momentum is calculated using linear regression on a combination of:
The closing price.
The average of the highest high and lowest low over a specific period.
A simple moving average of the closing price.
Momentum Interpretation:
Positive Value: Indicates bullish momentum.
Negative Value: Indicates bearish momentum.
Changes in Value:
If the value increases, momentum is strengthening.
If the value decreases, momentum is weakening.
5. Visualization
The indicator is represented as a histogram and a crossover line:
Histogram:
Shows the momentum value.
Colors:
Green/Lime: Bullish momentum and increasing.
Red/Maroon: Bearish momentum and decreasing.
Crossover Line:
Represents the reference level (zero).
Colors:
Blue: No squeeze.
Black: Squeeze active.
Gray: Squeeze inactive.
6. Alerts
The indicator includes alerts to notify when:
Squeeze Active (sqzOn): The market is in a compression phase.
Squeeze Inactive (sqzOff): The market is in an expansion phase.
How to Use the Indicator
Identify the Squeeze:
When the histogram is near zero and the crossover line is black, the market is in a "squeeze." This suggests that it could be preparing for a strong move.
Confirm the Momentum:
If the histogram turns green/lime, it indicates bullish momentum.
If the histogram turns red/maroon, it indicates bearish momentum.
Make Trading Decisions:
Entry: Consider entering a trade when the squeeze deactivates (sqzOff) and momentum confirms the direction (green histogram for buys, red for sells).
Exit: Use changes in momentum or the reactivation of the squeeze as a signal to exit the trade.
Alerts:
Set up alerts to receive notifications when the squeeze activates or deactivates.
Practical Example
Scenario 1:
The histogram is black (squeeze active) and then turns green (bullish momentum).
Interpretation: The market could be starting an uptrend. Consider a buy trade.
Scenario 2:
The histogram is black (squeeze active) and then turns red (bearish momentum).
Interpretation: The market could be starting a downtrend. Consider a sell trade.
Conclusion
The "Profit Momentum Indicator" is a powerful tool for identifying periods of low volatility (squeeze) and confirming the direction of momentum. By combining these two concepts, the indicator helps anticipate strong market movements and make more informed trading decisions.
