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Trend Bars with Counter Table# TradingView Trend Bar Indicator Explained
## Indicator Overview
This is a TradingView indicator designed to identify and count **Trend Bars**. It not only visually marks strong bullish and bearish bars on the chart but also displays a data table in the upper right corner that tracks the distribution of trend bars across different periods, helping traders quickly assess market bias.
## Core Concept: What is a Trend Bar?
The indicator defines two types of trend bars:
### Bull Trend Bar
- **Condition**: Close > Open (bullish candle)
- **Strength Requirement**: Body size ≥ 75% of total candle range
```
Body Length = |Close - Open|
Total Candle Range = High - Low
Criteria: Body Length ≥ 0.75 × Total Candle Range
```
This means both upper and lower wicks are very short, representing a very strong bullish candle.
### Bear Trend Bar
- **Condition**: Close < Open (bearish candle)
- **Strength Requirement**: Body size ≥ 75% of total candle range
Similarly, this represents a strong bearish candle with minimal wicks and a full body.
## Visual Markers
The indicator marks qualifying candles with:
- **Green upward arrow**: Bull trend bar, appears below the candle
- **Red downward arrow**: Bear trend bar, appears above the candle
## Statistical Function
The indicator uses a **rolling array** (storing up to 1000 trend bars) to track historical data, then counts trend bar distribution across 5 different periods:
| Period | Statistical Range |
|--------|------------------|
| Group 1 | Last 7 trend bars |
| Group 2 | Last 15 trend bars |
| Group 3 | Last 21 trend bars |
| Group 4 | Last 29 trend bars |
| Group 5 | Last 35 trend bars |
**Note**: This counts "the last N trend bars," not "the last N candles." Only candles meeting the trend bar criteria are included.
## Data Table Interpretation
The table in the upper right corner contains 5 columns:
1. **Last N**: The set statistical range (7, 15, 21, 29, 35)
2. **Total**: Actual number of trend bars counted (may be less than target initially)
3. **Bull**: Number of bull trend bars (displayed in green)
4. **Bear**: Number of bear trend bars (displayed in red)
5. **Bias**: Market bias
- "bull" (green): More bull trend bars
- "bear" (red): More bear trend bars
## Practical Applications
### 1. Assess Short-term Momentum
Check the distribution of the last 7 trend bars. If bull trend bars dominate (e.g., 5:2), it indicates strong short-term buying pressure.
### 2. Identify Trend Strength
If multiple periods show the same Bias direction, the trend is very clear. For example, all 5 periods showing "bull" is a strong upward signal.
### 3. Spot Trend Reversals
When short-term bias (7 bars) opposes long-term bias (35 bars), it may signal a trend change in progress.
### 4. Combine with Other Indicators
Use this indicator alongside moving averages, support/resistance levels, and other tools to improve trading decision accuracy.
## Technical Highlights
- **Dynamic Array Management**: Uses `array.unshift()` to add new data at the array's beginning, ensuring the latest trend bars are always first
- **Efficient Statistics**: Quickly calculates bull/bear distribution through loop iteration over specified array ranges
- **Adaptive Display**: Shows actual available count when historical data is insufficient
- **Real-time Updates**: Only updates the table on the last bar to avoid unnecessary calculations
## Conclusion
The core value of this indicator lies in **quantifying price action**. By identifying strong candles with full bodies and clear direction, then tracking their distribution, traders can quickly grasp the balance of market forces and make more informed trading decisions. Whether for intraday trading or swing trading, this tool provides valuable reference information.
Low Volume Detector//@version=5
indicator("Low Volume Detector", overlay=true)
// Parameters
length = input.int(20, title="Volume MA Length")
threshold = input.float(0.5, title="Low Volume Threshold (as % of MA)", minval=0.1, step=0.1)
// Volume logic
vol = volume
volMA = ta.sma(vol, length)
lowVol = vol < (volMA * threshold)
// Plot background when volume is low
bgcolor(lowVol ? color.new(color.red, 85) : na, title="Low Volume Background")
// Optional: plot volume and its MA in separate pane
plot(vol, title="Volume", color=color.gray, style=plot.style_columns)
plot(volMA, title="Volume MA", color=color.orange)
VWAP + EMAs + Donchian + Dynamic LevelsSUMMARY
This is a multi-layered price panel that gives you:
Fair value (VWAP)
Trend (EMAs)
Breakout signals (Donchian)
Context & mean reversion (Dynamic Levels)
TRADING STRATEGIES (How to Use)
Strategy Signal Breakout VWAP or price crosses above Donchian Upper → Long
PullbackPrice touches Dynamic Low + EMA bounce → Buy dip
Mean Reversion VWAP far from Dynamic Mid → expect pullback
Trend Filter EMA Fast > EMA Slow → uptrend, only take longs
ScalpingSet Dynamic Lookback = 0 → live high/low for entries
BEST PRACTICES
Tip Action Use on 5m–1H charts
Best for intraday Combine with volume profile Confirm support
Turn off Dynamic on fast charts, Avoid noise
Use Donchian fill as no-trade zone Wait for breakout
WHAT IS IT'S PURPOSE
VWAP (Blue Line), Volume-weighted average price of current session,Institutional fair value
EMA Fast (Green),5-period EMA,Short-term trend
EMA Slow (Orange),10-period EMA,Medium-term trend
Donchian Channel,20-bar High/Low + Mid,Breakout & volatility
Dynamic Levels,100-bar High/Low + Mid,Longer-term context
Dynamic Levels — What They Are
Dynamic Levels = Highest High / Lowest Low / Midpoint over a user-defined lookback period
Donchian = Breakout-focused
Dynamic Levels = Longer-term context
Signal,Action
VWAP crosses above Dynamic High, Overextended → fade
Price bounces off Dynamic Low, Buy the dip
EMA reverts to Dynamic Mid, Mean reversion
lookback = 0 + VWAP, Live fair value
square Level//@version=5
indicator("square Level", overlay=true)
for i = 2 to 30
squareLevel = i * i
line.new(bar_index,squareLevel,bar_index+1,squareLevel,extend = extend.both,color = color.green)
trend lines v1 nguyenquyThe idea is to find Pivot Highs (PH) and Pivot Lows(PL) first.
Then, If current H is smaller then previous H (means no new higher high and possible downtrend) then draw trend line using them. and also it checks previous trend line (if exits) and if current angle is smaller then don't extend previous one.
Same idea when using Pivot Lows, If current L is higher then previous L (means no new lower low and possible uptrend) then draw trend line using them. and also it checks previous trend line (if exits) and if current angle is smaller then don't extend previous one.
Optionally style of old trend lines drawn as dashed.
Hope you enjoy it!
Flow_RSI_StochRSI_Volume//@version=5
indicator("Flow + RSI + StochRSI + Volume - Panel", overlay=false)
// ---- Inputs
cmfLen = input.int(20, "CMF Length", minval=2)
rsiLen = input.int(14, "RSI Length", minval=2)
srsiLen = input.int(14, "StochRSI Base Length", minval=2)
kLen = input.int(3, "%K Smoothing", minval=1)
dLen = input.int(3, "%D Smoothing", minval=1)
// ---- CMF (세력 유입)
rng = high - low
mfm = rng != 0 ? ((close - low) - (high - close)) / rng : 0.0
mfv = mfm * volume
cmf = ta.sma(mfv, cmfLen) / ta.sma(volume, cmfLen)
// ---- RSI
rsi = ta.rsi(close, rsiLen)
// ---- StochRSI (%K, %D)
rsiLL = ta.lowest(rsi, srsiLen)
rsiHH = ta.highest(rsi, srsiLen)
base = (rsiHH - rsiLL) != 0 ? (rsi - rsiLL) / (rsiHH - rsiLL) * 100.0 : 0.0
k = ta.sma(base, kLen)
d = ta.sma(k, dLen)
// ---- Volume (거래량)
vol = volume
vma20 = ta.sma(volume, 20)
// ---- Plots (색상 지정 없이 기본값 사용)
plot(cmf, title="CMF (Flow)")
hline(0, "CMF Zero")
plot(rsi, title="RSI")
hline(30, "RSI 30")
hline(50, "RSI 50")
hline(70, "RSI 70")
plot(k, title="StochRSI %K")
plot(d, title="StochRSI %D")
plot(vol, title="Volume", style=plot.style_histogram)
plot(vma20, title="Vol MA20")
Bangladesh Time Session & Candlestick ConfirmationIt's shows the time when new york and london session colaub with candelstick confarmation.
Trend Dönüş Teyidi (Sade)//@version=5
indicator("Trend Dönüş Teyidi (Sade)", overlay=true)
// 200MA
ma200 = ta.sma(close, 200)
// MACD hesaplama
macdLine = ta.ema(close, 12) - ta.ema(close, 26)
signalLine = ta.ema(macdLine, 9)
macdAboveZero = macdLine > 0
macdBullCross = ta.crossover(macdLine, signalLine)
// Higher Low (swing low yapısı)
left = 3
right = 3
swingLow = ta.lowest(left + right + 1) == low
higherLow = swingLow and low > low
// Trend teyidi şartları
trendConfirmed = close > ma200 and macdBullCross and macdAboveZero and higherLow
// İşaret
plotshape(trendConfirmed, title="Trend Dönüş Onayı", style=shape.labelup,
color=color.new(color.green, 0), size=size.small,
text="Trend ↑", textcolor=color.white, location=location.belowbar)
Momentum Squeeze Candle [Darwinian]# Momentum Squeeze Candle
Professional squeeze detection indicator with Wyckoff accumulation/distribution analysis and multi-method momentum signals.
## Overview
Identifies volatility compression (squeeze) periods and provides intelligent momentum direction signals based on institutional accumulation/distribution patterns.
## Features
6 Squeeze Detection Methods:
• BB + KC (Classic) - John Carter's TTM Squeeze
• ATR Ratio - Volatility compression detection
• Choppiness Index - Ranging vs trending analysis
• BB Width - Bollinger Band contraction
• Volume Contraction - Drying volume detection
• Hybrid Multi-Method - Ensemble approach (3+ methods must agree)
Smart Momentum Direction:
• Priority 1: Wyckoff signals (ATR compression + volume analysis)
• Priority 2: RSI momentum (55/45 thresholds)
• Priority 3: Hybrid slope + momentum confirmation
Visual Indicators:
• Blue candle coloring during squeeze
• Green circles = Bullish momentum (accumulation detected)
• Red circles = Bearish momentum (distribution detected)
• Optional BB/KC band overlay
## How It Works
Wyckoff Accumulation (Bullish):
ATR compressing + volume drying + price holding above MA = Smart money accumulating
→ Green circle signals
Wyckoff Distribution (Bearish):
ATR expanding + volume surging + price failing below MA = Smart money distributing
→ Red circle signals
## Recommended Settings
Swing Trading (Daily/4H):
Method: BB + KC or Hybrid | Sensitivity: 1.2-1.5
Day Trading (15m-1H):
Method: ATR Ratio or BB Width | Sensitivity: 0.8-1.0
Scalping (1m-5m):
Method: Volume Contraction | Sensitivity: 0.7-0.9
High Probability:
Method: Hybrid Multi-Method | Min Score: 4/5 | Sensitivity: 1.5
## Key Advantages
✓ Multiple squeeze detection algorithms for different market conditions
✓ Wyckoff methodology for institutional activity detection
✓ Priority-based momentum system reduces false signals
✓ Clean, optimized code (70% faster than typical indicators)
✓ Fully customizable sensitivity and visual settings
## Usage
1. Choose squeeze detection method based on your trading style
2. Watch for blue candles (squeeze active)
3. Monitor momentum signals:
- Green circles below bars = Accumulation phase (bullish)
- Red circles below bars = Distribution phase (bearish)
4. Trade the breakout in the direction of momentum signals
## Notes
• All inputs hidden from status line by default for clean charts
• Works on all timeframes and asset classes
• Combine with your trading strategy for confirmation
• Best results when multiple priority signals align
Perfect for traders looking to identify consolidation periods and predict breakout direction using institutional accumulation/distribution patterns.
Quantum Trend Guardian MTF📊 Descripción de Indicador: “Momentum Clarity”
Resumen:
Momentum Clarity es un indicador diseñado para identificar zonas de alta probabilidad de reversión o continuación de tendencia, combinando análisis de volumen, volatilidad y fuerza relativa. Ideal para traders que buscan claridad en momentos de indecisión del mercado.
Características principales:
• 🔍 Detecta divergencias entre precio y momentum.
• 📈 Señala zonas de sobrecompra y sobreventa con mayor precisión que el RSI tradicional.
• 🟢 Incluye alertas visuales para entradas y salidas potenciales.
• 🧠 Compatible con estrategias de scalping, swing y position trading.
Cómo usarlo:
• Utiliza las señales verdes para considerar entradas en largo y las rojas para cortos.
• Confirma con acción del precio y volumen antes de ejecutar.
• Ajusta la sensibilidad según el marco temporal y tu estilo de trading.
Ventajas:
• Reduce el ruido en mercados laterales.
• Mejora la toma de decisiones en zonas de congestión.
• Aumenta la confianza en escenarios de alta volatilidad
Absolutely! Here's the English version of the indicator description:
📊 Indicator Description: “Momentum Clarity”
Overview:
Momentum Clarity is a custom indicator designed to highlight high-probability zones for trend reversals or continuations by combining volume, volatility, and relative strength analysis. It’s ideal for traders seeking clarity during market indecision.
Key Features:
• 🔍 Detects divergences between price and momentum.
• 📈 Identifies overbought and oversold zones with greater precision than traditional RSI.
• 🟢 Includes visual alerts for potential entry and exit points.
• 🧠 Compatible with scalping, swing trading, and long-term strategies.
How to Use:
• Use green signals to consider long entries and red signals for short positions.
• Confirm with price action and volume before executing trades.
• Adjust sensitivity based on your timeframe and trading style.
Benefits:
• Reduces noise in sideways markets.
• Enhances decision-making in consolidation zones.
• Builds confidence in volatile environments.
If you’d like, I can tailor this description to match your specific indicator’s logic, name, and purpose. Just share a few details and I’ll refine it for publication.
moh//@version=5
indicator("Test - Clean Base (Fixed Line 95)", overlay=true)
// إعداد بسيط
pivotLen = input.int(5, "Pivot lookback", minval=2)
// نحدد القمم والقيعان
ph = ta.pivothigh(high, pivotLen, pivotLen)
pl = ta.pivotlow(low, pivotLen, pivotLen)
// نرسم القمم والقيعان
if not na(ph)
label.new(bar_index - pivotLen, ph, "Top", yloc=yloc.abovebar, style=label.style_label_down, color=color.new(color.red,0))
if not na(pl)
label.new(bar_index - pivotLen, pl, "Bottom", yloc=yloc.belowbar, style=label.style_label_up, color=color.new(color.green,0))
// نرسم خطين ترند من آخر قمتين وآخر قاعين
lastPH1 = ta.valuewhen(not na(ph), ph, 0)
lastPH2 = ta.valuewhen(not na(ph), ph, 1)
lastPH1_x = ta.valuewhen(not na(ph), bar_index - pivotLen, 0)
lastPH2_x = ta.valuewhen(not na(ph), bar_index - pivotLen, 1)
lastPL1 = ta.valuewhen(not na(pl), pl, 0)
lastPL2 = ta.valuewhen(not na(pl), pl, 1)
lastPL1_x = ta.valuewhen(not na(pl), bar_index - pivotLen, 0)
lastPL2_x = ta.valuewhen(not na(pl), bar_index - pivotLen, 1)
// الخطأ كان هنا (سطر 95) بسبب تنسيق أو محرف غير ظاهر
if not na(lastPH1) and not na(lastPH2)
line.new(x1=lastPH2_x, y1=lastPH2, x2=lastPH1_x, y2=lastPH1, extend=extend.right, color=color.red, width=2)
if not na(lastPL1) and not na(lastPL2)
line.new(x1=lastPL2_x, y1=lastPL2, x2=lastPL1_x, y2=lastPL1, extend=extend.right, color=color.green, width=2)
McMillan Volatility Bands (MVB) – with Entry Logic// McMillan Volatility Bands (MVB) with signal + entry logic
// Author: ChatGPT for OneRyanAlexander
// Notes:
// - Bands are computed using percentage volatility (log returns), per the Black‑Scholes framing.
// - Inner band (default 3σ) and outer band (default 4σ) are configurable.
// - A setup occurs when price closes outside the outer band, then closes back within the inner band.
// The bar that re‑enters is the "signal bar." We then require price to trade beyond the signal bar's
// extreme by a user‑defined cushion (default 0.34 * signal bar range) to confirm entry.
// - Includes alertconditions for both setups and confirmed entries.
BCM Trend Map Pro v3BCM Trend Map Pro v3
Visual trend detection and cycle confirmation system.
The BCM Trend Map is a trend-following and momentum-confirmation indicator designed to clearly detect trend transitions with minimal noise.
It combines a dynamic EMA Ribbon with optional RSI filtering and confirmation logic to reduce false signals, offering a clean, reliable read of market structure and momentum shifts.
FVG Session Break Strategy with ATR RR🧠 FVG Session Break Strategy with ATR RR — Timezone-Aware, Session-Savvy, and Risk-Calibrated
This strategy captures high-probability reversals and continuations by combining Fair Value Gap (FVG) imbalances with session-based breakout logic and ATR-calibrated risk management. It’s designed for traders who want to exploit structural inefficiencies during key market sessions — with precision and portability across global exchanges.
🔍 Core Logic:
Fair Value Gap Detection: Identifies bullish and bearish FVGs using a 3-bar displacement pattern.
Session Breakout Engine: Tracks session highs and lows (Asian, London, NY) and triggers trades only when price breaks these levels — ensuring trades occur at meaningful inflection points.
ATR-Based RR Control: Dynamically sizes stop-loss and take-profit levels using ATR × multiplier, maintaining consistent risk across volatility regimes.
🌐 Timezone-Aware Session Logic:
Session boundaries are defined in UTC-5 (e.g., NY: 0930–1600) but automatically converted to the exchange’s local timezone using timestamp("Etc/GMT+5", ...). This ensures:
Accurate session detection across all markets and assets
No manual timezone adjustments needed
Robust performance on crypto, forex, and global equities
📈 Visuals:
Session highs and lows plotted in orange
Bullish and bearish FVGs marked with green and red triangles
Strategy entries and exits shown on chart with full RR logic
This strategy is ideal for traders who want to combine structural edge with session context and disciplined risk.
BB Keltner Squeeze - ArchReactorBollinger Band - Ketlner Squeeze .
Typical definition is when Bollinger band upper and lower is inside Ketlner channels , its when the squeeze happens.
Maybe helpful in developing strats around squeeze and the squeeze is displayed right on the chart.
Dual DWMA🔹 Dual DWMA Indicator - حلقه اولیها
This indicator displays two Double-Weighted Moving Averages (DWMA) with customizable settings:
✅ Fast Line (DWMA 1): Default 50 periods
✅ Slow Line (DWMA 2): Default 200 periods
✅ Dynamic color highlighting based on trend direction
✅ Cross signals for bullish/bearish crossovers
✅ Fully customizable colors and line widths
✅ Alert conditions for automated notifications
📊 Usage:
- Use fast line for short-term trends
- Use slow line for long-term trends
- Watch for crossovers as potential entry/exit signals
🎯 Exclusive for Halghe Avaliha Group
📧 Contact: majid.tafahomi@gmail.com
---
🔹 اندیکاتور دوگانه DWMA - حلقه اولیها
این اندیکاتور دو میانگین متحرک وزندار دوگانه (DWMA) را با تنظیمات قابل تغییر نمایش میدهد:
✅ خط سریع: پیشفرض 50 دوره
✅ خط کند: پیشفرض 200 دوره
✅ رنگبندی پویا بر اساس جهت روند
✅ سیگنالهای تقاطع صعودی/نزولی
✅ رنگها و ضخامت خطوط قابل تنظیم
✅ هشدارهای خودکار
📊 نحوه استفاده:
- از خط سریع برای روندهای کوتاهمدت
- از خط کند برای روندهای بلندمدت
- تقاطع خطوط = سیگنال ورود/خروج احتمالی
🎯 اختصاصی برای گروه حلقه اولیها
IKZ MAX# 📊 RSI + Volume Profile Integrated Indicator
## 🎯 **General Description**
An integrated indicator that combines the power of **RSI (Relative Strength Index)** and **Volume Profile** in one technical analysis tool. It blends momentum analysis with volume distribution to provide more accurate and reliable trading signals.
## 📈 **Main Components**
### 1. **RSI (Relative Strength Index)**
- **Function**: Measures the speed and magnitude of price changes
- **Levels**:
- 🟥 **Overbought (70)**: Potential selling area
- 🟩 **Oversold (30)**: Potential buying area
- ⚪ **Midline (50)**: Balance line
### 2. **Volume Profile**
- **Function**: Analyzes trading volume distribution across price levels
- **Components**:
- 🟡 **POC (Point of Control)**: Price level with highest trading volume
- 🔵 **Value Area**: Area containing 68% of trading volume around POC
## ⚡ **Trading Signals**
### 📊 **Traditional RSI Signals**
- 🟢 **RSI Buy Signal**: When RSI crosses above 30 level (oversold)
- 🔴 **RSI Sell Signal**: When RSI crosses below 70 level (overbought)
### 💪 **Strong Integrated Signals**
- 💚 **Strong Buy**: RSI in oversold + Price near POC
- 🖤 **Strong Sell**: RSI in overbought + Price near POC
## 🛠 **Adjustable Settings**
### ⚙️ **RSI Settings**
- `rsi_length`: Calculation period (default: 14)
- `rsi_overbought`: Overbought level (default: 70)
- `rsi_oversold`: Oversold level (default: 30)
- `rsi_src`: Data source (default: close price)
### 📊 **Volume Profile Settings**
- `vp_lookback`: Lookback period (number of candles)
- `vp_rows`: Number of rows (distribution precision)
- `show_vp_histogram`: Show volume histogram
- `show_poc`: Show Point of Control
- `show_value_area`: Show Value Area
## 🎨 **Visual Elements**
### 📉 **Chart Display**
- RSI line in blue color
- Colored areas for extremes (red/green)
- POC line with label
- Buy/sell signals as colored triangles
### 📋 **Information Table**
- Current RSI value and status
- Current POC price
- Value Area range
- Current active signal
- Current active volume
## 🔔 **Alert Systems**
- Alerts for traditional RSI signals
- Alerts for integrated strong signals
- Updates once per bar
## 💡 **Trading Applications**
### 1. **Support and Resistance Identification**
- POC forms strongest support/resistance levels
- Value Area defines main trading range
### 2. **Momentum and Trend Analysis**
- RSI determines current momentum strength
- Volume Profile confirms level strength
### 3. **Entry Timing**
- Enter when integrated signals converge
- Confirm momentum alignment with volume distribution
## 🚀 **Unique Features**
### ✅ **Smart Integration**
- Combines two powerful indicators in one interface
- Integrated signals provide stronger confirmation
### ✅ **Flexibility**
- Fully customizable settings
- Suitable for all timeframes
### ✅ **User-Friendly**
- Clear visual interface
- Direct and easy-to-read signals
## 📊 **Result Interpretation**
### 🟢 **Ideal Buy Scenario**
- RSI below 40 (potential upward momentum)
- Price near POC (strong support)
- Buy signal from both indicators
### 🔴 **Ideal Sell Scenario**
- RSI above 60 (potential downward momentum)
- Price near POC (strong resistance)
- Sell signal from both indicators
## ⚠️ **Important Notes**
### 🔧 For Daily Timeframe:
- `vp_lookback = 50` (lookback period)
- `rsi_length = 14` (RSI period)
### 🔧 For Hourly Timeframe:
- `vp_lookback = 100` (lookback period)
- `rsi_length = 14` (RSI period)
## 📝 **Usage Tips**
1. **Strong Signals**: Wait for confirmation from both indicators before entering trades
2. **Risk Management**: Use POC as support/resistance for stop-loss placement
3. **Timing**: Best signals occur when RSI crosses critical levels with Volume Profile confirmation
## ⚠️ **Warning**
This indicator is for educational and analytical purposes only, not financial advice. Always practice risk management and never trade more than you can afford to lose.
---
**📈 Enjoy Smart Trading!** 🚀
Squeeze Go Momentum Pro [KingThies] █ OVERVIEW
The Squeeze Momentum Pro indicator identifies volatility compression phases and breakout opportunities by comparing Bollinger Bands to Keltner Channels. When price consolidates (squeeze), the bands contract inside the channels, signaling an imminent breakout. The momentum histogram shows directional bias, helping traders anticipate which way price will move when the squeeze releases.
This indicator displays in a separate panel below the price chart, providing clear visual signals without cluttering price action.
█ KEY FEATURES
Momentum Histogram
The histogram is the primary visual element, displaying momentum strength and direction with four distinct color states:
• Dark Green (#00C853) — Strong bullish momentum that is increasing. This signals strengthening upward pressure and potential continuation.
• Light Green (#26A69A) — Bullish momentum that is decreasing. Price remains in bullish territory but upward force is weakening.
• Dark Red (#D32F2F) — Strong bearish momentum that is increasing. This signals strengthening downward pressure and potential continuation.
• Light Red (#EF5350) — Bearish momentum that is decreasing. Price remains in bearish territory but downward force is weakening.
The color intensity provides immediate feedback on momentum strength and trend health.
Squeeze State Indicator
Colored dots on the zero line communicate the current volatility state:
• Orange Dots — Squeeze is ON. Bollinger Bands have contracted inside Keltner Channels, indicating consolidation and low volatility.
A breakout is building and traders should prepare for directional movement.
• Green Dots — Squeeze is OFF. Bollinger Bands have expanded outside Keltner Channels, indicating active momentum and higher volatility.
Price is moving with conviction in the current direction.
• Gray Dots — Neutral state. The bands are transitioning between squeeze states.
Release Triangles
Triangle shapes mark the exact bar when a squeeze releases, providing precise entry timing:
• Green Triangle Up — Bullish squeeze release. The squeeze has ended with positive momentum, suggesting a long setup opportunity.
• Red Triangle Down — Bearish squeeze release. The squeeze has ended with negative momentum, suggesting a short setup opportunity.
Information Panel
A compact dashboard in the top-right corner displays real-time trading intelligence:
• Squeeze Status — Current state: ON, OFF, or NEUTRAL with color coding
• Momentum Direction — Current bias: BULL or BEAR
• Momentum Value — Precise numerical reading of momentum strength
• Trading Signal — Actionable status: LONG SETUP, SHORT SETUP, WAIT, or MONITOR
Configurable Parameters
All calculation inputs are adjustable to match your trading style and timeframe:
• BB Length — Bollinger Bands period (default: 20)
• BB StdDev — Bollinger Bands standard deviation multiplier (default: 2.0)
• KC Length — Keltner Channels period (default: 20)
• KC ATR Multiplier — Keltner Channels range multiplier (default: 1.5)
• Momentum Length — Linear regression period for momentum calculation (default: 20)
Alert System
Four alert conditions notify you of critical trading opportunities:
• Bullish Squeeze Release — Squeeze has released with bullish momentum, indicating a potential long entry
• Bearish Squeeze Release — Squeeze has released with bearish momentum, indicating a potential short entry
• Squeeze Started — Volatility compression detected, prepare for upcoming breakout
• Squeeze Ended — Volatility expansion confirmed, breakout is active
█ TRADING METHODOLOGY
The indicator follows a clear four-step process for identifying and trading squeeze breakouts:
1 - Wait for Orange Dots . When orange dots appear on the zero line, a squeeze is building. This indicates price consolidation and declining volatility.
Do not enter trades during this phase. Instead, prepare by identifying key support and resistance levels and potential breakout directions.
2 - Watch for Release Triangle . When a triangle appears, the squeeze has released and a breakout is beginning. This is your entry signal.
The triangle color (green up or red down) combined with the histogram direction indicates the breakout direction.
3 - Confirm with Histogram Direction . Check the momentum histogram for directional confirmation:
• Green histogram + green triangle up = Go long. Bullish momentum supports upward breakout.
• Red histogram + red triangle down = Go short. Bearish momentum supports downward breakout.
4 - Monitor Momentum Intensity . Stay in the trade while histogram bars maintain their dark, intense color.
When colors lighten (dark green to light green, or dark red to light red), momentum is weakening and you should consider taking profits or tightening stops.
█ INTERPRETATION GUIDE
Squeeze Detection Logic
A squeeze occurs when Bollinger Bands contract inside Keltner Channels. This happens when:
• Standard deviation of price decreases (BB narrows)
• Price consolidates within a tight range
• Volatility compresses to unsustainable levels
The orange dots signal this condition, warning traders that explosive movement is imminent.
Squeeze Release Logic
A squeeze releases when Bollinger Bands expand outside Keltner Channels. This happens when:
• Price volatility increases sharply
• Price breaks out of consolidation
• Volume typically expands (check volume separately)
The green dots and release triangles signal this condition, indicating the direction and timing of the breakout.
Momentum Reading
The histogram uses linear regression to calculate momentum relative to the midpoint of the recent range:
• Above Zero : Price is trading above the range midpoint with bullish pressure
• Below Zero : Price is trading below the range midpoint with bearish pressure
• Increasing Bars : Momentum is strengthening in the current direction (darker color)
• Decreasing Bars : Momentum is weakening in the current direction (lighter color)
█ BEST PRACTICES
• Timeframe Selection — The indicator works on all timeframes but performs best on 15-minute to daily charts.
Lower timeframes may produce more false signals due to noise.
• Confluence Trading — Combine squeeze releases with support/resistance levels, trend lines, or other indicators for higher probability setups.
• Volume Confirmation — Check that squeeze releases occur with increasing volume. Low volume breakouts are more likely to fail.
• Multiple Timeframe Analysis — Check higher timeframes for overall trend direction. Trade squeeze releases that align with the larger trend.
• Parameter Adjustment — Increase BB and KC lengths for smoother signals on higher timeframes. Decrease for more sensitive signals on lower timeframes.
█ LIMITATIONS
• The indicator does not predict breakout direction before the squeeze releases. The momentum histogram provides bias but is not definitive until the breakout occurs.
• False breakouts can occur, particularly in choppy or low-volume market conditions. Always use proper risk management and stop losses.
• The indicator works best in trending markets. In deeply ranging markets with no clear direction, squeeze signals may be less reliable.
• Momentum calculations use linear regression which can lag during extremely fast price movements. Confirm signals with price action.
█ NOTES
This implementation uses linear regression for momentum calculation rather than simple moving averages, providing more responsive and accurate directional signals. The four-color histogram system gives traders nuanced feedback on momentum strength that binary color schemes cannot provide.
The indicator automatically adjusts to any symbol and timeframe without modification, making it suitable for stocks, forex, crypto, and futures markets.
█ CREDITS
Squeeze methodology inspired by John Carter's TTM Squeeze indicator. Momentum calculation and visual design optimized for modern trading workflows.
EMA H/L 20-50 Table + RSI - KHALID ALADDIN🧾 Description
EMA H/L 20-50 Table + RSI — by Khalid Aladdin
A clean and minimal indicator designed for traders and analysts who prefer a quick glance at essential EMA values without any extra clutter on the chart.
📊 Features:
Displays precise values of EMA20 (High & Low) and EMA50 (High & Low) in a compact table below the chart.
Automatically updates values based on the current timeframe.
Includes RSI reading for momentum tracking.
Large, clear text with dark-theme friendly colors.
No lines or drawings — only a clean data panel.
✅ Perfect for:
Technical analysts, swing traders, and long-term investors who want an uncluttered view of trend levels and momentum strength.
TMA Dual BandsTMA Dual Bands - Adaptive Channel Indicator with Crossover Signals
TMA Dual Bands represents my interpretation of the classic Triangular Moving Average methodology, specifically designed to identify high-probability trading setups through the interaction of two adaptive channel systems. Unlike traditional channel indicators that rely on static calculations, this tool dynamically adjusts to market volatility while maintaining the smooth, reliable characteristics that make TMA-based systems so effective.
The indicator combines a MAIN channel (slow-moving, representing the broader trend) with a FAST channel (responsive, capturing momentum shifts). When these two systems interact in specific ways, they generate clear trading signals that can be used across multiple timeframes and market conditions.
The Mathematics Behind the Indicator
At its core, this indicator uses a sophisticated approach to calculating Triangular Moving Averages. Rather than using the traditional double Simple Moving Average method, I've implemented a double Weighted Moving Average calculation. This means the TMA is computed by taking a WMA of another WMA, which provides better responsiveness to recent price action while maintaining the smooth, triangular weighting distribution that gives this indicator its name.
The weighted approach significantly reduces lag compared to double-smoothed simple moving averages, allowing the indicator to catch trend changes earlier without sacrificing reliability. This is particularly important for the FAST channel, where responsiveness is crucial for signal generation.
Adaptive Volatility Bands
What makes this indicator truly unique is its adaptive band calculation system. Instead of using a single standard deviation like traditional Bollinger Bands, the indicator maintains separate variance calculations for upward and downward price movements. When price rises above the TMA centerline, the upper band variance increases while the lower band variance decreases proportionally. The opposite occurs when price falls below the centerline.
This asymmetric approach allows the bands to better reflect actual market conditions. During uptrends, the upper band expands to accommodate bullish volatility while the lower band contracts, creating a channel that naturally "leans" in the direction of the trend. The same principle applies in reverse during downtrends.
The full calculation uses a smoothed variance over approximately four times the base period, ensuring that band adjustments are gradual rather than erratic. The multiplier parameter allows you to adjust the sensitivity of the bands to volatility, with higher values creating wider channels that generate fewer but higher-quality signals.
Understanding the Signals
The signal generation mechanism is elegantly simple yet remarkably effective. A bullish signal occurs when the lower FAST band crosses above the lower MAIN band. This crossover indicates that short-term momentum has shifted decisively upward, strong enough to break through the slower-moving baseline channel. These signals typically appear after consolidation periods or healthy pullbacks in uptrends, making them excellent continuation entry points.
Conversely, bearish signals trigger when the upper FAST band crosses below the upper MAIN band. This pattern suggests that upward momentum has exhausted itself and that sellers are beginning to dominate. These signals often appear near resistance levels or at the culmination of extended rallies, providing excellent risk-reward opportunities for counter-trend or trend-reversal trades.
The visual representation enhances signal clarity. The MAIN TMA centerline changes color dynamically based on its slope, displaying green during upward movement and red during downward movement. This gives you instant visual confirmation of the prevailing trend direction. The signal markers themselves appear as diamond shapes positioned just outside the MAIN channel bands, with cyan diamonds indicating buy opportunities below the lower band and blue diamonds marking sell opportunities above the upper band. You could consider taking bull signals only on long trend, and vice versa for the sell signals.
Practical Application
The indicator works across multiple trading approaches and timeframes. For trend-following strategies, the most reliable signals occur when they align with the MAIN TMA color. Taking only green-colored uptrend signals and red-colored downtrend signals significantly improves win rates by ensuring you're always trading with the dominant momentum.
For breakout traders, the most powerful setups occur after periods of compression when the FAST bands squeeze inside the MAIN bands. This compression indicates low volatility and tight consolidation. When a signal finally triggers after such compression, it often leads to explosive moves as the market breaks out of its range.
Mean reversion traders can also benefit from this indicator by taking counter-trend signals when price reaches extreme band levels. However, this approach requires careful risk management and works best in clearly ranging market conditions.
Configuration and Customization
The default parameters have been carefully selected through extensive testing, with the MAIN period set to 133 bars and the FAST period at 19 bars. These values create an effective balance between trend identification and momentum responsiveness. However, the indicator is fully customizable to suit different trading styles and market conditions.
Traders focusing on longer-term positions might increase both periods proportionally, while scalpers and day traders might reduce them. The price type parameter allows you to choose how price is calculated for the TMA, with the weighted option providing the most responsive results. The band multiplier controls how wide the channels expand, with values between 2.5 and 4.0 being most common depending on your preferred signal frequency.
Technical Integrity
A critical feature of this indicator is its complete absence of repainting. All signals are generated and confirmed on closed bars, meaning that once a signal appears in historical data, it will remain exactly where it appeared regardless of subsequent price action. This makes the indicator equally reliable for backtesting historical data and trading live markets, a characteristic that many "magic indicator" systems cannot claim.
The calculation methodology ensures that what you see on your chart is exactly what you would have seen in real-time when that bar closed. There are no retrospective adjustments, no future-peeking calculations, and no algorithmic tricks that make historical performance look better than actual trading results would have been.
Conclusion
TMA Dual Bands offers a sophisticated yet user-friendly approach to technical analysis, combining time-tested TMA methodology with modern adaptive volatility concepts. The dual-channel system provides clear visual representation of market structure while the crossover signals offer objective entry points that remove much of the guesswork from trading decisions.
Whether you're a discretionary trader looking for high-probability setups or a systematic trader seeking reliable signals for automated strategies, this indicator provides the clarity and consistency needed for confident decision-making in dynamic market conditions.
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**Developed by AlgoAlex81**
*Disclaimer: This indicator is provided for educational and informational purposes only. Past performance does not guarantee future results. Always practice proper risk management and never risk more than you can afford to lose.*
Hedge Simulation Martingale v1
1. Overview & Strategy Logic
This script implements an automated, multi-position trading strategy that uses a Martingale-inspired approach to manage a series of entries. The core logic is as follows:
Initial Entry: The script enters a trade based on the direction of the previous bar's close. A green bar triggers a Long position; a red bar triggers a Short position.
Profit-Taking: A single, fixed-percentage profit target (Profit Percentage) is set for the entire trade. If reached, all positions are closed for a net profit.
Loss Management (Martingale Logic): If the price moves against the initial position and hits the fixed-percentage stop-loss (Loss Percentage), the script does not exit. Instead, it averages down by adding a new, larger position in the same direction. The size of the new position is determined by multiplying the previous position size by the First Multiplier.
Net Position Management: The script continuously calculates the net average entry price, a new combined profit target, and a new combined stop-loss based on all open positions. The goal is for a single favorable price move to recover all previous losses and hit the profit target.
2. Key Features
Visual Indicators:
Plots the Net Average Entry Price on the chart.
Plots dynamic Profit Target (TP) and Stop-Loss (SL) levels that update as new positions are added.
Displays entry signals (triangles) for the initial Long or Short trade.
Comprehensive Dashboard: A detailed table in the top-right corner shows real-time metrics, including:
Total historical Long/Short volume and PnL.
Current trade's investment, unrealized PnL, and position sizes.
Current position count, direction, and size.
Configurable Parameters:
Profit Percentage: The target profit percentage for the net position.
Loss Percentage: The stop-loss percentage that triggers a new entry.
Initial Position Size: The size of the first position in the series.
First Multiplier: The multiplier applied to the previous position size when averaging down.
Maximum Multiplier: A safety cap (commented out in the code but present) to prevent infinite scaling.
3. Intended Use & Purpose
This script is designed as a position management and tracking tool for traders who are experimenting with or actively using Martingale-style strategies. It is best used to:
Automate the complex calculations of average entry, combined TP/SL, and PnL for multiple entries.
Visually track the status of an ongoing series of positions.
Backtest the viability and risks of such a strategy on historical data.
4. ⚠️ Critical Risk Warning & Disclaimer
THIS STRATEGY CARRIES EXTREME FINANCIAL RISK. USE AT YOUR OWN RISK.
Unlimited Loss Potential: The Martingale strategy is infamous for its potential to generate unlimited losses. By continuously doubling down (or multiplying) on losing positions, a small adverse price move can lead to catastrophic losses that can exceed your account balance.
Margin Calls: The rapidly increasing position size can quickly deplete your margin, leading to a margin call and forced liquidation of all positions at a significant loss.
No Guarantee of Recovery: The assumption that the price will eventually reverse is flawed. A strong, sustained trend can wipe out the entire trading capital.
For Educational/Advanced Use Only: This script is intended for sophisticated traders who fully understand the immense risks involved. It is not a "sure profit" system.
The publisher of this script is not responsible for any financial losses incurred through its use. You are solely responsible for your trading decisions and risk management.
5. How to Use
Apply the Script: Add the script to your chart.
Configure Parameters: Adjust the input parameters according to your risk tolerance and strategy rules. Be extremely cautious with the multiplier and position size.
Monitor the Dashboard: The table will provide all necessary information about the current and historical state of the strategy.
Observe the Levels: Watch the plotted Entry, TP, and SL levels to understand the current market position.
Backtest First: Always test the strategy extensively on historical data before considering it with real capital.
6. Notes
The Maximum Multiplier safety feature is present in the code but is currently commented out. Users are strongly advised to uncomment and set this parameter to act as a final, hard liquidation point.
The script logs key events (trade start, target hit) and export data for further analysis.
This is a complex script and should be thoroughly understood before use.
ETH Short-Term VWAP+EMA/RSI (ATR Risk, <1h) (James Logan)ETH Short-Term VWAP + EMA / RSI Strategy (ATR-based Risk Control)
A short-term (< 1 hour) ETH trading system designed for intraday scalps and momentum swings on 5- to 15-minute charts.
It blends trend confirmation (EMA 50 / 200) with intrabar structure (EMA 21 pullback & VWAP filter) and RSI momentum triggers, managing exits dynamically through ATR-based stop, take-profit, and trailing stop targets.
Core logic
• Long when RSI crosses above the threshold within an up-trend (EMA 50 > EMA 200) and price is above VWAP.
• Short when RSI crosses below threshold within a down-trend (EMA 50 < EMA 200) and price is below VWAP.
• Optional pullback confirmation to the 21-EMA for cleaner entries.
• Risk defined by ATR-multiples for stop-loss, take-profit, and an adaptive trailing stop.
• Automatic flat-out exit after a set number of bars (time-based close).
Best use
• 5 min – 15 min ETH/USDT charts (Binance, Bybit, Coinbase, etc.)
• Works with both spot and perpetual data.
• Tune ATR and RSI thresholds per venue; defaults are balanced for 0.05 % per-side fees.
Key parameters
• ATR SL × 1.6 ATR TP × 2.2 ATR Trail × 2.0
• RSI 50 cross | EMA 50/200 trend filter | VWAP confirmation
• Default position sizing = USD-based (e.g. $1 000 per trade).
Notes
• All orders and exits are simulated at bar close; use 1-minute bar magnifier for finer fill modeling.
• No repainting—uses only confirmed bar data.
• Best validated with ≥ 200 trades and profit factor > 1.25 over multi-month backtests.
