Majkl Manzalovic//@version=5
indicator("Majkl Manzalovic", overlay=true, max_lines_count=500)
// ── Inputs ─────────────────────────────────────────
grpB = "Osnovno"
src = input.source(open, "Izvor (za VWAP dev.)", group=grpB)
resetMode = input.string("Dnevno", "VWAP reset", options= , group=grpB)
// Senčenje isključeno po difoltu
showFill = input.bool(false, "Senčenje između linija", group=grpB)
grpM = "Metoda rastojanja"
method = input.string("StdDev", "Metoda", options= , group=grpM)
atrLen = input.int(14, "ATR dužina", minval=1, group=grpM)
pip = input.float(0.0001, "Vrednost 1 pipa/poena", step=0.0001, group=grpM)
// Gornji pojasevi
grpU = "Gornji pojasevi (iznad plave)"
u1v = input.float(1.23, "Gornji 1 – faktor/poeni", step=0.01, group=grpU)
u1s = input.float(0.0, "Gornji 1 – ručni pomak", step=0.0001, group=grpU)
u2v = input.float(1.9, "Gornji 2 – faktor/poeni", step=0.01, group=grpU)
u2s = input.float(0.0, "Gornji 2 – ručni pomak", step=0.0001, group=grpU)
u3v = input.float(2.3, "Gornji 3 – faktor/poeni", step=0.01, group=grpU)
u3s = input.float(0.0, "Gornji 3 – ručni pomak", step=0.0001, group=grpU)
u4v = input.float(3.0, "Gornji 4 – faktor/poeni", step=0.01, group=grpU)
u4s = input.float(0.0, "Gornji 4 – ručni pomak", step=0.0001, group=grpU)
// Donji pojasevi
grpD = "Donji pojasevi (ispod plave)"
d1v = input.float(1.23, "Donji 1 – faktor/poeni", step=0.01, group=grpD)
d1s = input.float(0.0, "Donji 1 – ručni pomak", step=0.0001, group=grpD)
d2v = input.float(1.9, "Donji 2 – faktor/poeni", step=0.01, group=grpD)
d2s = input.float(0.0, "Donji 2 – ručni pomak", step=0.0001, group=grpD)
d3v = input.float(2.3, "Donji 3 – faktor/poeni", step=0.01, group=grpD)
d3s = input.float(0.0, "Donji 3 – ručni pomak", step=0.0001, group=grpD)
d4v = input.float(3.0, "Donji 4 – faktor/poeni", step=0.01, group=grpD)
d4s = input.float(0.0, "Donji 4 – ručni pomak", step=0.0001, group=grpD)
// ── Boje ───────────────────────────────────────────
cMid = color.new(color.blue, 0)
cUp = color.new(color.red, 0)
cDn = color.new(color.green, 0)
cFillUp = color.new(color.red, 85)
cFillDn = color.new(color.green, 85)
cFillOff = color.new(color.white, 100)
// ── VWAP i reset logika ────────────────────────────
vwap = ta.vwap(src)
var float sum = na
var float sum2 = na
var float n = na
bool isNew = false
if resetMode == "Dnevno"
isNew := ta.change(time("D"))
else if resetMode == "Nedeljno"
isNew := ta.change(time("W"))
else if resetMode == "Mesečno"
isNew := ta.change(time("M"))
else
isNew := false
if isNew
sum := 0.0, sum2 := 0.0, n := 0.0
if na(sum)
sum := 0.0, sum2 := 0.0, n := 0.0
sum += src
sum2 += src*src
n += 1.0
mean = n > 0 ? sum/n : na
stdev = n > 0 ? math.sqrt(math.max(sum2/n - mean*mean, 0.0)) : na
atr = ta.atr(atrLen)
// Rastojanje prema metodi
f_dist(mult) =>
method == "StdDev" ? mult * nz(stdev, 0) :
method == "ATR" ? mult * atr :
mult * pip
// ── Pojasevi ───────────────────────────────────────
u1 = vwap + f_dist(u1v) + u1s
u2 = vwap + f_dist(u2v) + u2s
u3 = vwap + f_dist(u3v) + u3s
u4 = vwap + f_dist(u4v) + u4s
d1 = vwap - f_dist(d1v) - d1s
d2 = vwap - f_dist(d2v) - d2s
d3 = vwap - f_dist(d3v) - d3s
d4 = vwap - f_dist(d4v) - d4s
// ── Plot ──────────────────────────────────────────
pMid = plot(vwap, title="VWAP (plava)", color=cMid, linewidth=2)
pU1 = plot(u1, title="Gornji 1", color=cUp, linewidth=2) // deblji
pU2 = plot(u2, title="Gornji 2", color=cUp, linewidth=1)
pU3 = plot(u3, title="Gornji 3", color=cUp, linewidth=1)
pU4 = plot(u4, title="Gornji 4", color=cUp, linewidth=1)
pD1 = plot(d1, title="Donji 1", color=cDn, linewidth=2) // deblji
pD2 = plot(d2, title="Donji 2", color=cDn, linewidth=1)
pD3 = plot(d3, title="Donji 3", color=cDn, linewidth=1)
pD4 = plot(d4, title="Donji 4", color=cDn, linewidth=1)
// ── Senčenje (ostavljeno ali podrazumevano off) ────
fill(pMid, pU1, color = showFill ? cFillUp : cFillOff)
fill(pU1, pU2, color = showFill ? cFillUp : cFillOff)
fill(pU2, pU3, color = showFill ? cFillUp : cFillOff)
fill(pU3, pU4, color = showFill ? cFillUp : cFillOff)
fill(pMid, pD1, color = showFill ? cFillDn : cFillOff)
fill(pD1, pD2, color = showFill ? cFillDn : cFillOff)
fill(pD2, pD3, color = showFill ? cFillDn : cFillOff)
fill(pD3, pD4, color = showFill ? cFillDn : cFillOff)
Indikator dan strategi
Data Highs & Lows [TakingProphets]DATA HIGHS AND LOWS
What it does
Data Highs & Lows visualizes the price level left by macro news events that release at 8:30 AM New York. It examines the 1-minute bars 8:29, 8:30, 8:31 and, if the 8:30 candle forms a valid swing low/high with a wick ≥ your threshold (points), it draws a horizontal level from that 8:30 price and labels it:
DATA.L when the 8:30 bar is a swing low
DATA.H when the 8:30 bar is a swing high
The line auto-extends until price’s wick touches/mitigates the level. On touch, you can either freeze the final segment and park the label beneath it or delete the visual immediately (toggle).
How it works
-Timezone: America/New_York.
-Detection runs on 1-minute data; visualization shows on minute charts up to 15m.
Swing rule:
-Swing-low if low(8:30) < low(8:29) and < low(8:31)
-Swing-high if high(8:30) > high(8:29) and > high(8:31)
-Wick rule: the relevant wick of the 8:30 candle must be ≥ threshold (points).
-One event/level per day; state resets daily.
Inputs & styling
Detection
-Wick Size Threshold (points).
Visualization
-Line Color, Line Style (Solid/Dashed/Dotted).
-Label Size (Tiny…Huge), Label Text Color.
-Label Vertical Offset (ticks) when parked.
-Line width is fixed at 1.
Behavior
Delete on Mitigation (remove line+label immediately on first touch) or keep the frozen level with a centered label.
Auto-cleanup after bars (optional).
Notes
-Designed to highlight levels specifically tied to 8:30 AM data releases (e.g., CPI, PPI, Jobless Claims, etc.).
-Works only if the symbol trades around that time; always consider session liquidity and instrument behavior.
-Labels: while active, they sit at the right end of the line; after mitigation they move to bottom-center with a small offset.
Disclaimer
This is an educational tool for chart annotation. It does not provide signals, guarantees, or financial advice. Always do your own analysis and manage risk appropriately.
Majkl Manzalovic//@version=5
indicator("Majkl Manzalovic", overlay=true, max_lines_count=500)
// ── Inputs ─────────────────────────────────────────
grpB = "Osnovno"
src = input.source(open, "Izvor (za VWAP dev.)", group=grpB)
resetMode = input.string("Dnevno", "VWAP reset", options= , group=grpB)
// Senčenje isključeno po difoltu
showFill = input.bool(false, "Senčenje između linija", group=grpB)
grpM = "Metoda rastojanja"
method = input.string("StdDev", "Metoda", options= , group=grpM)
atrLen = input.int(14, "ATR dužina", minval=1, group=grpM)
pip = input.float(0.0001, "Vrednost 1 pipa/poena", step=0.0001, group=grpM)
// Gornji pojasevi
grpU = "Gornji pojasevi (iznad plave)"
u1v = input.float(1.23, "Gornji 1 – faktor/poeni", step=0.01, group=grpU)
u1s = input.float(0.0, "Gornji 1 – ručni pomak", step=0.0001, group=grpU)
u2v = input.float(1.9, "Gornji 2 – faktor/poeni", step=0.01, group=grpU)
u2s = input.float(0.0, "Gornji 2 – ručni pomak", step=0.0001, group=grpU)
u3v = input.float(2.3, "Gornji 3 – faktor/poeni", step=0.01, group=grpU)
u3s = input.float(0.0, "Gornji 3 – ručni pomak", step=0.0001, group=grpU)
u4v = input.float(3.0, "Gornji 4 – faktor/poeni", step=0.01, group=grpU)
u4s = input.float(0.0, "Gornji 4 – ručni pomak", step=0.0001, group=grpU)
// Donji pojasevi
grpD = "Donji pojasevi (ispod plave)"
d1v = input.float(1.23, "Donji 1 – faktor/poeni", step=0.01, group=grpD)
d1s = input.float(0.0, "Donji 1 – ručni pomak", step=0.0001, group=grpD)
d2v = input.float(1.9, "Donji 2 – faktor/poeni", step=0.01, group=grpD)
d2s = input.float(0.0, "Donji 2 – ručni pomak", step=0.0001, group=grpD)
d3v = input.float(2.3, "Donji 3 – faktor/poeni", step=0.01, group=grpD)
d3s = input.float(0.0, "Donji 3 – ručni pomak", step=0.0001, group=grpD)
d4v = input.float(3.0, "Donji 4 – faktor/poeni", step=0.01, group=grpD)
d4s = input.float(0.0, "Donji 4 – ručni pomak", step=0.0001, group=grpD)
// ── Boje ───────────────────────────────────────────
cMid = color.new(color.blue, 0)
cUp = color.new(color.red, 0)
cDn = color.new(color.green, 0)
cFillUp = color.new(color.red, 85)
cFillDn = color.new(color.green, 85)
cFillOff = color.new(color.white, 100)
// ── VWAP i reset logika ────────────────────────────
vwap = ta.vwap(src)
var float sum = na
var float sum2 = na
var float n = na
bool isNew = false
if resetMode == "Dnevno"
isNew := ta.change(time("D"))
else if resetMode == "Nedeljno"
isNew := ta.change(time("W"))
else if resetMode == "Mesečno"
isNew := ta.change(time("M"))
else
isNew := false
if isNew
sum := 0.0, sum2 := 0.0, n := 0.0
if na(sum)
sum := 0.0, sum2 := 0.0, n := 0.0
sum += src
sum2 += src*src
n += 1.0
mean = n > 0 ? sum/n : na
stdev = n > 0 ? math.sqrt(math.max(sum2/n - mean*mean, 0.0)) : na
atr = ta.atr(atrLen)
// Rastojanje prema metodi
f_dist(mult) =>
method == "StdDev" ? mult * nz(stdev, 0) :
method == "ATR" ? mult * atr :
mult * pip
// ── Pojasevi ───────────────────────────────────────
u1 = vwap + f_dist(u1v) + u1s
u2 = vwap + f_dist(u2v) + u2s
u3 = vwap + f_dist(u3v) + u3s
u4 = vwap + f_dist(u4v) + u4s
d1 = vwap - f_dist(d1v) - d1s
d2 = vwap - f_dist(d2v) - d2s
d3 = vwap - f_dist(d3v) - d3s
d4 = vwap - f_dist(d4v) - d4s
// ── Plot ──────────────────────────────────────────
pMid = plot(vwap, title="VWAP (plava)", color=cMid, linewidth=2)
pU1 = plot(u1, title="Gornji 1", color=cUp, linewidth=2) // deblji
pU2 = plot(u2, title="Gornji 2", color=cUp, linewidth=1)
pU3 = plot(u3, title="Gornji 3", color=cUp, linewidth=1)
pU4 = plot(u4, title="Gornji 4", color=cUp, linewidth=1)
pD1 = plot(d1, title="Donji 1", color=cDn, linewidth=2) // deblji
pD2 = plot(d2, title="Donji 2", color=cDn, linewidth=1)
pD3 = plot(d3, title="Donji 3", color=cDn, linewidth=1)
pD4 = plot(d4, title="Donji 4", color=cDn, linewidth=1)
// ── Senčenje (ostavljeno ali podrazumevano off) ────
fill(pMid, pU1, color = showFill ? cFillUp : cFillOff)
fill(pU1, pU2, color = showFill ? cFillUp : cFillOff)
fill(pU2, pU3, color = showFill ? cFillUp : cFillOff)
fill(pU3, pU4, color = showFill ? cFillUp : cFillOff)
fill(pMid, pD1, color = showFill ? cFillDn : cFillOff)
fill(pD1, pD2, color = showFill ? cFillDn : cFillOff)
fill(pD2, pD3, color = showFill ? cFillDn : cFillOff)
fill(pD3, pD4, color = showFill ? cFillDn : cFillOff)
Sav FX - Semi / Quarterly Cycles [Nakash]Sav FX – Semi / Quarterly Cycles is a TradingView indicator designed to analyze time cycles in the Forex and financial markets. It helps traders identify multi-year, yearly, weekly, and daily cycles, as well as shorter intervals such as 6-hour, 90-minute, and 22.5-minute cycles.
The indicator highlights potential turning points and periods of heightened market activity, allowing traders to align their strategies with the natural rhythm of the market. Visual cycle markers are plotted directly on the chart, making it easy to combine with other technical tools like support/resistance levels and price patterns.
A key advantage of Sav FX is its flexibility: traders can enable or disable specific cycles depending on their trading style — from scalpers focusing on short-term moves to swing traders and investors monitoring quarterly or yearly trends.
1 juicy newXenia BabyBlue is a clean Pine Script indicator designed to keep your chart readable while still giving you the most useful session context. It paints Tokyo, London, and New York as a gentle blue watermark using bgcolor(), so the shading always spans the full pane behind price and never distorts autoscaling. There are no boxes, borders, or labels cluttering the candles—just a soft backdrop that makes session rhythm obvious at a glance.
Time handling is robust and product independent. You can switch between America/New_York and Europe/Berlin presets, and the script builds session windows with explicit timestamps, including overnight ranges such as Tokyo. That means the shading stays aligned even when you change exchanges, symbols, or chart timeframes.
On top of the watermark, Xenia BabyBlue includes a classic EMA 50 for trend bias and a compact two-candle manipulation detector. The logic flags a bullish trap when a bearish candle is followed by a sweep below its low and a close back above its high, and flags the bearish counterpart when a bullish candle is followed by a sweep above its high and a close back below its low. Signals are plotted with soft, unobtrusive labels so they remain visible without overwhelming price action.
The default styling aims for “set and forget.” Still, you can customize the blue intensity, toggle the EMA, and tighten or relax the manipulation rules to match your playbook. The code uses lightweight operations, avoids lookahead, and draws only what is needed per bar, which keeps it responsive on lower timeframes and long histories.
Use Xenia BabyBlue when you want fast session awareness and tidy, actionable hints—whether you’re trading London reversals, New York continuations, or Asia range breaks. It pairs well with ICT-style models, liquidity maps, and structure tools, and it’s intentionally simple to combine with other overlays. Trade focused, not distracted.
Multi-Timeframe RSI Momentum Colorizer（多时间框架RSI动量着色器）专注于RSI动量着色的实际应用，强调多时间框架动量分析和颜色编码的直观交易信号，帮助交易者快速识别大级别趋势强度。
## 策略介绍
量子多频RSI动量着色器是一款创新的多时间框架动量可视化工具，通过智能颜色编码技术，将大时间框架的RSI动量状态直接映射到当前图表K线上，为交易者提供直观的趋势强度判断。
## 核心算法原理
### 多时间框架动量同步
系统实时计算1小时和4小时级别的RSI数值，通过量子级算法将大时间框架的动量状态精准投射到当前图表，实现跨周期动量共振分析。
### 智能颜色编码系统
基于机构级动量阈值设定，当大时间框架RSI进入超买超卖区域时，自动对当前K线进行颜色标记，提供即时的趋势强度视觉反馈。
## 实战应用指南
### 图表分析方法
**📊 动量状态识别**
**🎯 交易信号解读**
- **黑色K线集群**：大级别上升趋势强劲，回调买入机会
- **蓝色K线集群**：大级别下降趋势确立，反弹做空时机
- **颜色转换区域**：潜在的趋势转折预警信号
### 交易决策流程
**趋势跟随策略**
1. 观察K线颜色持续性判断趋势强度
2. 在颜色一致的区域顺趋势方向交易
3. 颜色转换时注意趋势可能转折
**反转交易策略**
1. 识别极端颜色区域（连续黑色/蓝色）
2. 等待颜色转换的早期信号
3. 结合价格形态确认反转入场
### 多时间框架协同分析
**动量共振判断**
```pinescript
高概率交易机会特征：
1. 1小时和4小时RSI同向超买/超卖
2. 当前价格处于关键支撑阻力位
3. K线颜色与价格行为方向一致
4. 成交量配合动量信号
风险管理系统
避免在颜色转换初期重仓交易
颜色信号与价格背离时保持谨慎
结合其他指标验证动量信号可靠性
策略优势
✅ 直观的多时间框架动量可视化
✅ 实时的大级别趋势强度反馈
✅ 简单的颜色编码快速识别信号
✅ 适用于各种交易风格和时间框架
## 策略介绍内容（英文）
```markdown
## Strategy Introduction
The Quantum Multi-Timeframe RSI Momentum Colorizer is an innovative multi-timeframe momentum visualization tool that uses intelligent color coding technology to directly map higher timeframe RSI momentum states onto current chart candles, providing traders with intuitive trend strength assessment.
## Core Algorithm Principle
### Multi-Timeframe Momentum Synchronization
The system calculates RSI values for 1-hour and 4-hour timeframes in real-time, using quantum-level algorithms to accurately project higher timeframe momentum states onto current charts, achieving cross-cycle momentum resonance analysis.
### Intelligent Color Coding System
Based on institutional-grade momentum threshold settings, when higher timeframe RSI enters overbought/oversold zones, it automatically color-codes current candles, providing instant trend strength visual feedback.
## Practical Application Guide
### Chart Analysis Method
**📊 Momentum State Identification**
**🎯 Trading Signal Interpretation**
- **Black Candle Clusters**: Strong higher timeframe uptrend, buy on dips
- **Blue Candle Clusters**: Established higher timeframe downtrend, sell on rallies
- **Color Transition Zones**: Potential trend reversal warning signals
### Trading Decision Process
**Trend Following Strategy**
1. Observe candle color consistency to judge trend strength
2. Trade in trend direction within consistent color zones
3. Be cautious during color transitions for potential trend changes
**Reversal Trading Strategy**
1. Identify extreme color areas (continuous black/blue)
2. Watch for early color transition signals
3. Confirm reversal entries with price action patterns
### Multi-Timeframe Synergy Analysis
**Momentum Resonance Judgment**
```pinescript
High-probability trade opportunity characteristics:
1. 1H and 4H RSI simultaneously overbought/oversold
2. Current price at key support/resistance levels
3. Candle color aligns with price action direction
4. Volume confirms momentum signals
Risk Management System
Avoid heavy positions during early color transitions
Exercise caution when color signals diverge from price action
Validate momentum signals with other indicators
Strategy Advantages
✅ Intuitive multi-timeframe momentum visualization
✅ Real-time higher timeframe trend strength feedback
✅ Simple color coding for quick signal identification
✅ Suitable for various trading styles and timeframes
3-6-9 Time Pattern Highlighter v63-6-9 Time Pattern Highlighter
Description
The 3-6-9 Time Pattern Highlighter is a powerful tool designed to identify and highlight 1-minute candles based on specific time-based patterns, inspired by the 3-6-9 sequence. This indicator is ideal for traders who incorporate time-based analysis into their strategies, helping to pinpoint key moments in the market with customizable visual cues. It supports two distinct patterns, each with unique minute sequences, and offers flexible controls to tailor highlighting to your trading needs.
Features
• Pattern 1 (Minutes-Only): Highlights candles every 3 minutes (03, 06, …, 57) within each hour, perfect for consistent intraday timing analysis.
• Pattern 2 (Hour + Minutes): Highlights candles based on the hour’s position in a 12-hour cycle:
• Hours 3, 6, 9, 12: Minutes 00, 03, …, 57.
• Hours 1, 4, 7, 10: Minutes 02, 05, …, 59.
• Hours 2, 5, 8, 11: Minutes 01, 04, …, 58.
• Customizable Colors: Assign unique highlight colors for Pattern 1 and Pattern 2 to distinguish between patterns visually.
• Hourly Toggles: Enable or disable highlighting for each hour (0-23) individually, giving precise control over which time periods are analyzed.
• Pattern Toggles: Independently enable or disable Pattern 1 and Pattern 2 to focus on specific timing strategies.
How to Use
1. Add the indicator to your chart (best on 1-minute timeframes for maximum precision).
2. In the settings, customize:
• Enable/disable Pattern 1 and Pattern 2.
• Select specific hours to highlight using the 0-23 hour toggles.
• Choose distinct colors for each pattern to match your chart style.
3. Observe highlighted candles to identify key time-based opportunities aligned with the 3-6-9 patterns.
Use Cases
• Intraday Trading: Spot critical moments for trade entries or exits based on recurring time patterns.
• Time-Based Analysis: Combine with other indicators to validate signals at specific times.
• Custom Strategies: Tailor the indicator to focus on specific hours or patterns relevant to your market analysis.
Notes
• Optimized for 1-minute charts but works on any timeframe where candle open times match the pattern.
• Ensure your chart’s timezone aligns with your analysis for accurate highlighting.
• When both patterns trigger on the same candle, Pattern 1’s color takes precedence (customizable upon request).
Disclaimer
This indicator is for informational purposes and should be used as part of a broader trading strategy. Always conduct your own analysis and practice proper risk management.
EMA Dual with SL/TP ATR basedEMA dual with cross and SL/TP ATR based.
Crossing EMA's generate direction - red / greed triangle for direction.
Indicator is able to identify the direction (Long / Short) and suggest Stop Loss (SL) and Take Profit (TP) .
The values are based on ATR and adapted to the direction.
SL/TP are generated based on last EMA cross or can be calculated from actual values.
The proportions can be configured.
Check setting for additional options.
Multi-Timeframe BPR Structure Breakout System（BPR结构突破）## 策略介绍
量子多频BPR结构突破系统是一款基于机构订单流分析的高级价格行为工具，通过智能识别大时间框架上的FVG（公允价值缺口）和BPR（突破回抽确认）模式，为交易者提供精准的市场结构突破信号。
## 核心算法原理
### 多时间框架FVG检测
系统实时监控1小时和4小时级别的FVG形成，通过量子级算法过滤无效缺口，仅保留具有交易价值的关键价格真空区域。
### BPR结构确认机制
当价格重新测试FVG区域并形成特定K线模式时，系统自动识别为BPR结构，标志着机构资金对该区域的认可和确认。
## 实战应用指南
### 图表分析方法
**📊 FVG区域识别**
**🎯 BPR交易信号**
- **看涨BPR**：价格回调至看涨FVG区域后出现反转信号
- **看跌BPR**：价格反弹至看跌FVG区域后出现反转信号
- **纯净模式**：确保价格在形成过程中未干扰FVG完整性
### 交易决策流程
**突破确认模式**
1. 识别大时间框架FVG形成
2. 等待价格回抽至FVG区域
3. 观察BPR结构确认信号
4. 沿FVG方向入场交易
**风险管理系统**
### 多时间框架协同分析
**机构资金流向判断**
```pinescript
高价值交易信号特征：
1. 1小时和4小时FVG区域重合
2. 关键支撑阻力位附近的BPR
3. 成交量放大的突破确认
4. 多个时间框架信号共振
## 策略介绍内容（英文）
```markdown
## Strategy Introduction
The Quantum Multi-Timeframe BPR Structure Breakout System is an advanced price action tool based on institutional order flow analysis, providing precise market structure breakout signals by intelligently identifying FVG (Fair Value Gaps) and BPR (Breakout Pullback Retest) patterns on higher timeframes.
## Core Algorithm Principle
### Multi-Timeframe FVG Detection
The system continuously monitors FVG formations on 1-hour and 4-hour timeframes, using quantum-level algorithms to filter out invalid gaps and retain only key price vacuum zones with trading value.
### BPR Structure Confirmation Mechanism
When price retests FVG zones and forms specific candlestick patterns, the system automatically identifies them as BPR structures, indicating institutional recognition and confirmation of these areas.
## Practical Application Guide
### Chart Analysis Method
**📊 FVG Zone Identification**
**🎯 BPR Trading Signals**
- **Bullish BPR**: Price pulls back to bullish FVG zone then shows reversal signals
- **Bearish BPR**: Price bounces to bearish FVG zone then shows reversal signals
- **Clean Pattern**: Ensures price doesn't interfere with FVG integrity during formation
### Trading Decision Process
**Breakout Confirmation Mode**
1. Identify higher timeframe FVG formation
2. Wait for price retracement to FVG zone
3. Observe BPR structure confirmation signals
4. Enter trades in FVG direction
**Risk Management System**
### Multi-Timeframe Synergy Analysis
**Institutional Fund Flow Judgment**
```pinescript
High-value trade signal characteristics:
1. 1H and 4H FVG zone overlap
2. BPR near key support/resistance levels
3. Volume-expanded breakout confirmation
4. Multiple timeframe signal resonance
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Multi-Timeframe Keltner Channel System（多时间凯尔特纳通道）## 策略介绍
量子多频凯尔特纳通道系统是一款基于高级波动率分析的多时间框架交易工具，通过智能整合1小时和4小时级别的凯尔特纳通道，为交易者提供精准的动态支撑阻力识别和趋势动能评估。
## 核心算法原理
### 多时间框架通道共振
系统同时计算1小时和4小时两个关键时间框架的凯尔特纳通道，通过量子级算法实现不同周期波动率的智能融合，提供更准确的市场结构分析。
### 动态通道偏移技术
采用先进的通道偏移算法，确保大时间框架通道在当前图表上的精准对齐，避免因时间框架差异导致的信号失真。
## 实战应用指南
### 图表分析方法
**📊 多时间框架趋势判断**
**🎯 关键价位识别**
- **通道上轨**：动态阻力位，突破后往往加速上涨
- **通道中轨**：趋势平衡点，多空分水岭
- **通道下轨**：动态支撑位，跌破后通常加速下跌
**⚡ 波动率分析技巧**
### 交易决策流程
**趋势跟踪模式**
1. 确认大时间框架通道方向
2. 在当前图表寻找回调至通道边界的机会
3. 结合K线形态确认入场信号
4. 以通道另一侧作为初始止损
**均值回归模式**
1. 识别通道收缩阶段的横盘整理
2. 在通道边界附近反向操作
3. 以通道中轨为目标位
4. 通道突破立即止损
### 高级应用技巧
**多时间框架共振交易**
```pinescript
理想交易条件：
1. 4小时通道明确趋势方向
2. 1小时通道提供精确入场点
3. 两个通道方向一致时胜率最高
4. 通道宽度适中，避免过度收缩或扩张
## 策略介绍内容（英文）
```markdown
## Strategy Introduction
The Quantum Multi-Timeframe Keltner Channel System is an advanced volatility-based multi-timeframe trading tool that intelligently integrates 1-hour and 4-hour Keltner Channels to provide traders with accurate dynamic support/resistance identification and trend momentum assessment.
## Core Algorithm Principle
### Multi-Timeframe Channel Resonance
The system simultaneously calculates Keltner Channels for two key timeframes (1-hour and 4-hour), using quantum-level algorithms to intelligently fuse volatility across different periods, delivering more precise market structure analysis.
### Dynamic Channel Offset Technology
Employs advanced channel offset algorithms to ensure accurate alignment of higher timeframe channels on current charts, preventing signal distortion caused by timeframe differences.
## Practical Application Guide
### Chart Analysis Method
**📊 Multi-Timeframe Trend Judgment**
**🎯 Key Level Identification**
- **Upper Channel**: Dynamic resistance, breaks often lead to acceleration
- **Middle Channel**: Trend equilibrium point, bull/bear dividing line
- **Lower Channel**: Dynamic support, breaks typically cause accelerated declines
**⚡ Volatility Analysis Techniques**
### Trading Decision Process
**Trend Following Mode**
1. Confirm higher timeframe channel direction
2. Look for pullback opportunities to channel boundaries
3. Use candlestick patterns for entry confirmation
4. Set initial stops beyond opposite channel side
**Mean Reversion Mode**
1. Identify range-bound consolidation during channel contraction
2. Execute counter-trend operations near channel boundaries
3. Target middle channel for profit-taking
4. Immediate stop-loss on channel breakouts
### Advanced Application Techniques
**Multi-Timeframe Resonance Trading**
```pinescript
Ideal trading conditions:
1. Clear trend direction from 4H channel
2. Precise entry points from 1H channel
3. Highest win rate when both channels align
4. Moderate channel width, avoiding extreme contraction/expansion
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Harami Alert & Engulfment Sequence Trading System（孕线吞没组合）## 策略介绍
量子孕线吞没序列交易系统是一款基于经典K线形态学的智能交易策略，专门捕捉市场趋势反转的关键节点。本系统通过精准识别孕线(Harami)和吞没(Engulfing)形态的序列组合，为交易者提供高概率的反转入场信号。
## 核心交易逻辑
### 形态序列识别机制
系统实时监控K线图，当检测到孕线形态（预警信号）出现后，自动启动5根K线的观察窗口。在此期间若出现同方向的吞没形态（确认信号），则生成高置信度的交易信号。
### 智能过滤系统
- **有效性验证**：仅认可孕线后特定时间窗口内出现的吞没信号
- **方向一致性**：确保孕线与吞没形态的方向逻辑一致
- **噪声过滤**：排除不符合严格形态定义的虚假信号
## 实战应用指南
### 图表分析方法
在价格图表上，系统会以不同图标明确标注各类信号：
- **三角形图标**表示孕线形态（预警信号）
- **彩色三角形**表示有效的吞没形态（确认信号）
### 交易执行流程
1. **预警阶段**：当图表出现孕线形态时，将其标记为潜在反转区域
2. **确认阶段**：在随后1-5根K线内观察是否出现同向吞没形态
3. **入场决策**：吞没形态确认后，结合当前价格位置决定入场时机
4. **风险管理**：以孕线高低点作为天然止损参考位
### 多时间框架验证
建议结合大时间框架的趋势方向进行过滤，仅在主要趋势的支撑/阻力位附近交易同向反转信号，大幅提升胜率。
## 策略优势
- 基于经典价格行为理论，逻辑经过市场长期验证
- 双形态序列确认机制，有效过滤假信号
- 明确的入场规则和风险管理标准
- 适用于多种交易品种和时间框架
## Strategy Introduction
The Quantum Harami Engulfment Sequence Trading System is an intelligent trading strategy based on classical candlestick pattern analysis, specifically designed to capture key trend reversal points in the market. This system identifies sequential combinations of Harami and Engulfing patterns to provide high-probability reversal entry signals for traders.
## Core Trading Logic
### Pattern Sequence Recognition Mechanism
The system continuously monitors candlestick charts and automatically initiates a 5-candle observation window upon detecting a Harami pattern (warning signal). If a same-direction Engulfing pattern (confirmation signal) appears within this window, it generates a high-confidence trading signal.
### Intelligent Filtering System
- **Validity Verification**: Only recognizes Engulfing signals within the specific time window after Harami
- **Direction Consistency**: Ensures logical alignment between Harami and Engulfing pattern directions
- **Noise Filtering**: Excludes false signals that don't meet strict pattern definition criteria
## Practical Application Guide
### Chart Analysis Method
On price charts, the system clearly marks various signals with different icons:
- **Triangle icons** indicate Harami patterns (warning signals)
- **Colored triangles** indicate valid Engulfing patterns (confirmation signals)
### Trade Execution Process
1. **Warning Phase**: Mark potential reversal zones when Harami patterns appear on charts
2. **Confirmation Phase**: Observe whether same-direction Engulfing patterns occur within 1-5 subsequent candles
3. **Entry Decision**: After Engulfing pattern confirmation, determine entry timing based on current price position
4. **Risk Management**: Use Harami highs/lows as natural stop-loss reference points
### Multi-Timeframe Validation
It's recommended to filter signals with higher timeframe trend direction, trading only same-direction reversal signals near key support/resistance levels of the primary trend, significantly improving win rate.
## Strategy Advantages
- Based on classical price action theory with long-term market validation
- Dual-pattern sequence confirmation mechanism effectively filters false signals
- Clear entry rules and risk management standards
- Suitable for various trading instruments and timeframes
ST Market StructureStructure
MTUIP Main Trend Upward Inflection Point
MTDIP Main Trend Downward Inflection Point
KR + KEY Range Inflection for the Main trend (+/-)
KRI - KEY Range Inflection for the Main trend (+/-)
MS Market Sentiment
UT#1 New trend leg up target 1
BOC Breakout Confirmation
IB Intraday Bias
BDC Breakdown Confirmation
DT#1 New trend leg down target 1
Momentum Filter - Multi-Oscillator Detection（震荡区域识别）# 动量收敛过滤器 - 多振荡器检测系统
## 指标概述
本指标专门用于识别市场震荡收敛阶段，通过布林带收缩、ATR波动率降低、RSI区间整理三个维度的共振分析，精准捕捉突破前的关键蓄势节点。
## 使用指南
### 1. 信号识别规则
**🎯 单条件信号（黄色圆点）**
- 至少满足1个收敛条件
- 市场开始出现震荡迹象
- 适合作为早期预警信号
**🎯 双条件信号（蓝色圆点）**
- 同时满足2个收敛条件
- 震荡格局基本确立
- 突破概率显著提升
**🎯 三条件信号（红色圆点）**
- 三个条件全部满足
- 市场处于极度收敛状态
- 突破行情一触即发
### 2. 实战应用场景
**📊 突破交易准备**
```pine
当出现红色三条件信号时：
→ 设置价格突破警报
→ 准备突破方向确认后的跟随交易
→ 将收敛区间作为天然止损区域
## 英文介绍
```markdown
# Momentum Convergence Filter - Multi-Oscillator Detection System
## Indicator Overview
This indicator specializes in identifying market consolidation phases through triple-dimensional resonance analysis of Bollinger Band contraction, ATR volatility reduction, and RSI range consolidation, accurately capturing key accumulation nodes before breakouts.
## Usage Guide
### 1. Signal Identification Rules
**🎯 Single Condition Signal (Yellow Dot)**
- At least 1 convergence condition met
- Early signs of market consolidation
- Suitable as early warning signal
**🎯 Dual Condition Signal (Blue Dot)**
- 2 convergence conditions simultaneously met
- Consolidation pattern basically established
- Breakout probability significantly increased
**🎯 Triple Condition Signal (Red Dot)**
- All 3 conditions fully satisfied
- Market in extreme convergence state
- Breakout imminent
### 2. Practical Application Scenarios
**📊 Breakout Trading Preparation**
```pine
When red triple signals appear:
→ Set price breakout alerts
→ Prepare follow-up trades after direction confirmation
→ Use consolidation range as natural stop-loss zone
Opening Range BoxThis indicator, called the "Opening Range Box," is a visual tool that helps you track the start of key trading sessions like London and New York.
It does three main things:
Finds the Daily 'First Move': It automatically calculates the High and Low reached during the first 30 minutes (or whatever time you set) of each defined session.
Draws a Box: It immediately draws a colored, transparent box on your chart from the moment the session starts. This box acts as a clear reference for the session's initial boundaries.
Extends the Levels: After the initial 30 minutes are over, the box stops growing vertically (it locks in the OR High/Low) but continues to stretch out horizontally for the rest of the trading session. This allows you to easily see how the price reacts to the opening levels throughout the day.
In short: It visually highlights the most important price levels established at the very beginning of the major market sessions.
Multi-Timeframe Volume- Smart Support & Resistance（支撑阻力识别）# 量子成交量矩阵 - 智能支撑阻力系统 市场唯一准确指标（默认15分钟图表全币种，可调整其他周期）
## 指标概述
本指标采用量子级算法重构传统成交量分析，通过多维度成交量能量分布，智能识别市场关键支撑阻力区域。不同于简单的静态水平线，我们的系统动态捕捉成交量密集区，为交易决策提供精准的入场和风控参考。
## 核心技术创新
### 1. 量子化成交量能量分析
- **多时间框架能量共振**：同步分析不同周期的成交量分布模式
- **动态POC(成交密集点)追踪**：实时捕捉资金流动的核心区域
- **智能价值区域识别**：基于成交量权重的自适应支撑阻力计算
### 2. 智能层级收敛算法
- **自动层级聚类**：将相近价格区间的成交量进行智能分组
- **能量强度可视化**：通过颜色深度直观展示不同层级的成交量强度
- **历史层级记忆**：保留重要历史层级作为长期参考
### 3. 实时市场结构解析
- **突破确认系统**：识别真假突破的概率分布
- **动量衰减预警**：通过成交量分布变化提前发现趋势衰竭
- **机构行为分析**：追踪大资金在关键价位的活动痕迹
## 独特价值主张
✅ **超越传统支撑阻力**：基于真实成交量数据，非简单技术指标
✅ **动态自适应**：随市场结构变化自动调整关键层级
✅ **多维度验证**：时间、价格、成交量三维共振确认
✅ **机构级洞察**：揭示市场深层资金流动规律
## 应用场景
- 趋势交易的关键入场点识别
- 突破交易的确认和风控设置
- 区间震荡的上下边界判断
- 机构资金流向的实时监控
# Quantum Volume Matrix - Smart Support & Resistance System
## Indicator Overview
This indicator reconstructs traditional volume analysis with quantum-level algorithms, intelligently identifying key market support and resistance zones through multi-dimensional volume energy distribution. Unlike simple static horizontal lines, our system dynamically captures volume concentration areas, providing precise entry and risk management references for trading decisions.
## Core Technical Innovations
### 1. Quantum Volume Energy Analysis
- **Multi-Timeframe Energy Resonance**: Synchronized analysis of volume distribution patterns across different periods
- **Dynamic POC (Point of Control) Tracking**: Real-time capture of core capital flow areas
- **Intelligent Value Area Identification**: Adaptive support/resistance calculation based on volume weighting
### 2. Smart Level Convergence Algorithm
- **Automatic Level Clustering**: Intelligent grouping of volume data in similar price ranges
- **Energy Intensity Visualization**: Intuitive display of volume strength through color depth
- **Historical Level Memory**: Retention of important historical levels as long-term references
### 3. Real-time Market Structure Analysis
- **Breakout Confirmation System**: Probability distribution analysis for genuine vs. false breakouts
- **Momentum Decay Early Warning**: Early detection of trend exhaustion through volume distribution changes
- **Institutional Behavior Analysis**: Tracking large capital activities at key price levels
## Unique Value Proposition
✅ **Beyond Traditional S/R**: Based on actual volume data, not simple technical indicators
✅ **Dynamic Adaptation**: Automatic adjustment of key levels with changing market structure
✅ **Multi-Dimensional Validation**: Three-dimensional resonance confirmation across time, price, and volume
✅ **Institutional-Grade Insights**: Revealing deep market capital flow patterns
## Application Scenarios
- Key entry point identification for trend trading
- Breakout confirmation and risk management setup
- Upper/lower boundary judgment for range oscillations
- Real-time monitoring of institutional fund flows
VWAP + EMA Smart SignalsFlexible use of EMA and VWAP. this Indicator will provide signal when VWAP and moving average will give together the same Buy and Sell signals.
Double Pattern Screener v7 //@version=6
indicator("Double Pattern Screener", shorttitle="DPS", overlay=false)
// Screener Inputs
leftBars = input.int(5, "Left Bars", minval=3, maxval=10)
rightBars = input.int(5, "Right Bars", minval=3, maxval=10)
tolerance = input.float(0.02, "Max Difference", step=0.01)
atrLength = input.int(14, "ATR Length", minval=1)
// NEW: Filter for number of equal peaks
filterPeaks = input.int(3, "Filter: Show Only X Equal Peaks", minval=2, maxval=5)
enableFilter = input.bool(true, "Enable Peak Count Filter")
// Arrays for tracking swings
var array todaySwingLevels = array.new(0)
var array swingCounts = array.new(0)
var array isResistance = array.new(0)
var array swingBars = array.new(0)
var int maxEqualPeaks = 0
var float nearestEqualLevel = na
var float distanceToNearest = na
var bool hasPattern = false
// Detect swings
swingHigh = ta.pivothigh(high, leftBars, rightBars)
swingLow = ta.pivotlow(low, leftBars, rightBars)
// Track current day
currentDay = dayofmonth
isNewDay = currentDay != currentDay
// Clear on new day
if barstate.isfirst or isNewDay
array.clear(todaySwingLevels)
array.clear(swingCounts)
array.clear(isResistance)
array.clear(swingBars)
maxEqualPeaks := 0
nearestEqualLevel := na
distanceToNearest := na
hasPattern := false
// Function to find matching level
findMatchingLevel(newLevel, isHigh) =>
matchIndex = -1
if array.size(todaySwingLevels) > 0
for i = 0 to array.size(todaySwingLevels) - 1
existingLevel = array.get(todaySwingLevels, i)
existingIsResistance = array.get(isResistance, i)
if math.abs(newLevel - existingLevel) <= tolerance and existingIsResistance == isHigh
matchIndex := i
break
matchIndex
// Process swing highs
if not na(swingHigh)
matchIndex = findMatchingLevel(swingHigh, true)
if matchIndex >= 0
newCount = array.get(swingCounts, matchIndex) + 1
array.set(swingCounts, matchIndex, newCount)
// Update max equal peaks
if newCount > maxEqualPeaks
maxEqualPeaks := newCount
else
array.push(todaySwingLevels, swingHigh)
array.push(swingCounts, 1)
array.push(isResistance, true)
array.push(swingBars, bar_index)
// Process swing lows
if not na(swingLow)
matchIndex = findMatchingLevel(swingLow, false)
if matchIndex >= 0
newCount = array.get(swingCounts, matchIndex) + 1
array.set(swingCounts, matchIndex, newCount)
// Update max equal peaks
if newCount > maxEqualPeaks
maxEqualPeaks := newCount
else
array.push(todaySwingLevels, swingLow)
array.push(swingCounts, 1)
array.push(isResistance, false)
array.push(swingBars, bar_index)
// Remove broken levels
if array.size(todaySwingLevels) > 0
for i = array.size(todaySwingLevels) - 1 to 0
level = array.get(todaySwingLevels, i)
isRes = array.get(isResistance, i)
levelBroken = isRes ? close > level : close < level
if levelBroken
removedCount = array.get(swingCounts, i)
array.remove(todaySwingLevels, i)
array.remove(swingCounts, i)
array.remove(isResistance, i)
array.remove(swingBars, i)
// Recalculate max if we removed the highest count
if removedCount == maxEqualPeaks
maxEqualPeaks := 0
if array.size(swingCounts) > 0
for j = 0 to array.size(swingCounts) - 1
count = array.get(swingCounts, j)
if count > maxEqualPeaks
maxEqualPeaks := count
// Calculate nearest equal level and distance
nearestEqualLevel := na
distanceToNearest := na
smallestDistance = 999999.0
if array.size(todaySwingLevels) > 0
for i = 0 to array.size(todaySwingLevels) - 1
count = array.get(swingCounts, i)
level = array.get(todaySwingLevels, i)
// Only consider levels with 2+ touches
if count >= 2
distance = math.abs(close - level)
if distance < smallestDistance
smallestDistance := distance
nearestEqualLevel := level
distanceToNearest := distance
// Pattern detection with filter
hasPattern := false
if maxEqualPeaks >= 2
if enableFilter
hasPattern := maxEqualPeaks == filterPeaks
else
hasPattern := true
// Screener outputs
patternSignal = hasPattern ? 1 : 0
numberEqualPeaks = maxEqualPeaks
nearestLevelPrice = nearestEqualLevel
distanceCents = distanceToNearest
// Calculate ATR normalized distance
atr = ta.atr(atrLength)
atrDistance = not na(distanceToNearest) and not na(atr) and atr > 0 ? distanceToNearest / atr : na
// Plot screener values
plot(patternSignal, title="Pattern Signal", display=display.data_window)
plot(numberEqualPeaks, title="Number Equal Peaks", display=display.data_window)
plot(nearestLevelPrice, title="Nearest Equal Level Price", display=display.data_window)
plot(distanceCents, title="Distance to Nearest (Price Units)", display=display.data_window)
plot(atrDistance, title="ATR Normalized Distance", display=display.data_window)
// Table for current symbol info
if barstate.islast
var table infoTable = table.new(position.top_right, 2, 6, bgcolor=color.new(color.black, 70))
table.cell(infoTable, 0, 0, "Symbol:", bgcolor=color.new(color.gray, 50), text_color=color.white)
table.cell(infoTable, 1, 0, syminfo.ticker, bgcolor=color.new(color.blue, 50), text_color=color.white)
table.cell(infoTable, 0, 1, "Pattern:", bgcolor=color.new(color.gray, 50), text_color=color.white)
table.cell(infoTable, 1, 1, str.tostring(patternSignal), bgcolor=patternSignal == 1 ? color.new(color.purple, 50) : color.new(color.gray, 50), text_color=color.white)
table.cell(infoTable, 0, 2, "Equal Peaks:", bgcolor=color.new(color.gray, 50), text_color=color.white)
table.cell(infoTable, 1, 2, str.tostring(numberEqualPeaks), bgcolor=color.new(color.yellow, 50), text_color=color.black)
table.cell(infoTable, 0, 3, "Nearest Level:", bgcolor=color.new(color.gray, 50), text_color=color.white)
table.cell(infoTable, 1, 3, str.tostring(nearestLevelPrice, "#.####"), bgcolor=color.new(color.orange, 50), text_color=color.white)
table.cell(infoTable, 0, 4, "Distance:", bgcolor=color.new(color.gray, 50), text_color=color.white)
table.cell(infoTable, 1, 4, str.tostring(distanceCents, "#.####"), bgcolor=color.new(color.green, 50), text_color=color.white)
table.cell(infoTable, 0, 5, "Filter Active:", bgcolor=color.new(color.gray, 50), text_color=color.white)
filterText = enableFilter ? str.tostring(filterPeaks) + " peaks" : "OFF"
table.cell(infoTable, 1, 5, filterText, bgcolor=enableFilter ? color.new(color.red, 50) : color.new(color.gray, 50), text_color=color.white)
[FRK] Dual Timeline - Separate Pane
The Dual Timeline - Separate Pane indicator is a sophisticated multi-timeframe analysis tool that tracks and displays up to 4 different timeline counts simultaneously in a dedicated pane below your chart. This indicator is designed for traders who use Time-Based Trading (TDT) strategies and need precise tracking of candle/bar counts across multiple timeframes.
Key Features
🔢 Multi-Timeline Tracking:
• Timeline 1: Current chart timeframe counting
• Timeline 2: Customizable higher timeframe (HTF) with proper boundary alignment
• Timeline 3: Specialized 90-minute cycle counting aligned to 2:30 AM NY time
• Timeline 4: Advanced HTF counting with special handling for daily/weekly timeframes
🎯 Strategic Milestone Display:
• Tracks key milestone numbers: 1, 3, 5, 7, 9, 13, 17, 21, 25, 31
• Color-coded sequences for TDT strategies:
◦ Green: Primary sequence (3, 7, 13, 21)
◦ Purple: Secondary sequence (5, 9, 17, 25)
◦ Orange: Current position markers
◦ Gray: Future projections
⚙️ Advanced Customization:
• Individual milestone visibility controls
• Quick presets for TDT strategies:
◦ Top 3 performers (1, 3, 13, 17, 21)
◦ TDT Primary sequence (1, 3, 7, 13, 21)
◦ TDT Secondary sequence (1, 5, 9, 17, 25)
• Customizable colors and font sizes
• Timeline enable/disable controls
📊 Professional Visual Layout:
• Clean separate pane display with labeled timelines
• Subtle center lines for easy reading
• Current position arrows (▲) for active counts
• Connecting lines from latest milestones
• Dots for non-milestone positions
• Future projection capabilities
Special Features
Time-Based Alignment:
• Daily/Weekly timeframes align to 6:00 PM NY (Asia market open)
• Custom 4-hour boundaries: 10:00, 14:00, 18:00, 22:00, 02:00, 06:00
• 90-minute cycles precisely aligned to 2:30 AM NY base time
• HTF boundary detection for accurate positioning
Smart Positioning:
• Time-based positioning for gap handling
• Extended visibility range (1000+ bars back, 500+ bars forward)
• Automatic bar position calculation
• Cross-timeframe synchronization
Use Cases
1. TDT Strategy Implementation: Perfect for Time-Based Trading strategies that rely on specific count sequences
2. Multi-Timeframe Analysis: Track multiple timeframes simultaneously without switching charts
3. Cycle Analysis: Specialized 90-minute cycle tracking for intraday strategies
4. Milestone Targeting: Visual identification of key support/resistance levels based on time counts
5. Future Planning: Project upcoming milestone levels for trade planning
Settings Groups
• Timeline 1-4: Individual start times and timeframe selections
• Display: Colors, fonts, and visual preferences
• Milestone Visibility: Granular control over which counts to display
• Quick Presets: One-click strategy templates
Data Window Output
The indicator provides detailed count information in the data window for precise analysis and strategy backtesting.
Perfect for traders using:
• Time-based trading strategies
• Multi-timeframe analysis
• Cycle-based approaches
• Milestone targeting systems
• Advanced chart timing techniques
This indicator transforms complex multi-timeframe counting into an intuitive visual tool, making it easier to spot patterns, time entries, and plan exits across multiple time dimensions simultaneously.
