Triple-EMA Cloud (3× configurable EMAs + timeframe + fill)About This Script
Name: Triple-EMA Cloud (3× configurable EMAs + timeframe + fill)
What it does:
The script plots three Exponential Moving Averages (EMAs) on your chart.
You can set each EMA’s length (how many bars or days it averages over), source (for example, closing price, opening price, or the midpoint of high + low), and timeframe (you can have one EMA use daily data, another hourly data, etc.).
The indicator draws a “cloud” or channel by shading the area between the outermost two EMAs of the three. This lets you see a band or zone that the price is moving in, defined by those EMAs.
You also get full control over how each of the three EMA‐lines looks: color, thickness, transparency, and plot style (solid line, steps, circles, etc.).
How to Use It (for Beginners)
Here’s how a trader who’s new to charts can use this tool, especially when looking for pullbacks or undercut price action.
Key Concepts
Trend: Imagine the market price is generally going up or down. EMAs are a way to smooth out price movements so you can see the trend more clearly.
Pullback: When a price has been going up (an uptrend), sometimes it dips down a little before going up again. That dip is the pullback. It’s a chance to enter or add to a position at a “better price.”
Undercut: This is when price drops below an important level (for example an EMA) and then comes back up. It looks like it broke below, but then it recovers. That may show reverse pressure or strength building.
How the Script Helps With Pullbacks & Undercuts
Marking Trend Zones with the Cloud
The cloud between the outer EMA lines gives you a zone of expected support/resistance. If the price is above the cloud, that zone can act like a “floor” in uptrends; if it is below, the cloud might act like a “ceiling” in downtrends.
Watching Price vs the EMAs
If the price pulls back toward the cloud (or toward one of the EMAs) and then bounces back up, that’s a signal that the uptrend might continue.
If the price undercuts (goes a bit below) one of the EMAs or the cloud and then returns above it, that can also be a signal. It suggests that even though there was a temporary drop, buyers stepped in.
Using the Three EMAs for Confirmation
Because the script uses three EMAs, you can see how tightly or loosely they are spaced.
If all three EMAs are broadly aligned (for example, in an uptrend: shorter length above longer length, each pulling from reliable price source), that gives more confidence in trend strength.
If the middle EMA (or different source/timeframe) is holding up as support while others are above, it strengthens signal.
Entry & Exit Points
Entry: For example, after a pullback toward the cloud or “mid‐EMA”, wait for price to show a bounce up. That could be a better entry than buying at the top.
Stop Loss / Risk: You might place a stop loss just below the cloud or the lowest of your selected EMAs so that if price breaks through, the idea is invalidated.
Profit Target: Could be a recent high, resistance level, or a fixed reward-risk multiple (for example aiming to make twice what you risked).
Practical Steps for New Traders
Set up the EMAs
Choose simple lengths like 10, 21, 50.
For example, EMA #1 = length 10, source Close, timeframe “current chart”; EMA #2 = length 21, source (H+L)/2; EMA #3 = length 50, maybe timeframe daily.
Observe the Price Action
When price moves up, then dips, see if it comes back near the shaded cloud or one of the EMAs.
See if the dip touches the EMAs lightly (not a big drop) and then price starts climbing again.
Look for undercuts
If price briefly goes below a line (or below cloud) and then closes back above, that’s undercut + recovery. That bounce back is often meaningful.
Manage risk
Only put in money you can afford to lose.
Use small position size until you get comfortable.
Use stop-loss (as mentioned) in case the price doesn’t bounce as expected.
Practice
Put this indicator on charts (stocks you follow) in past time periods. See how price behaved with pullbacks / undercuts relative to the EMAs & cloud. This helps you learn to see signals.
What It Doesn’t Do (and What to Be Careful Of)
It doesn’t predict the future — it simply shows zones and trends. Price can still break down through the cloud.
In a “choppy” market (i.e. when price is going up and down without a clear trend), signals from EMAs / clouds are less reliable. You’ll get more “false bounces.”
Under / overshoots & big news events can break through clean levels, so always watch for confirmation (volume, price behavior) before putting big money in.
Bande e canali
MGY Smart Fibonacci ProMGY Smart Fibonacci Pro Indicator
Overview:
MGY Smart Fibonacci Pro is an advanced multi-timeframe Fibonacci indicator that automatically adapts to your current chart timeframe. It intelligently displays the most relevant Fibonacci retracement levels based on the higher timeframes, providing traders with dynamic support and resistance levels.
Multi-Level EnvelopeMulti-Level Envelope
Features of this indicator:
5 different levels of Envelope bands
Separate input field for each level to set the percentage deviation value
Different colors for each level to easily distinguish between them
Thick baseline in the middle for the moving average
Risk controlRisk control.
The indicator displays lines at a distance of % from the current price specified in the parameters. This risk is taken as 100% of the volume. Additionally, the max/min of the visible part of the chart is determined. The distance from the current price to the min/max is calculated in % and the ratio of the risk specified in the parameters to the risk to the min/max is displayed in 10% increments. The indicator is calculated based on the visible part of the chart on the screen. The direction of visualization depends on the visible part of the chart: if the opening price of the first candle is > the current price, visualization is from the minimum, otherwise from the maximum.
Required parameters: risk in %.
Visualization: line offset to the left/right, line color and thickness. Additional: table of 3 cells (background, font size and color).
Volatility Monitor [HTF/LTF Maki]The way to set a buying and selling rule base on EMA in Multi Time Frame
HUll Dynamic BandEducational Hull Moving Average Wave Analysis Tool
**MARS** is an innovative educational indicator that combines multiple Hull Moving Average timeframes to create a comprehensive wave analysis system, similar in concept to Ichimoku Cloud but with enhanced smoothness and responsiveness.
---
🎯 Key Features
**Triple Wave System**
- **Peak Wave (34-period)**: Fast momentum signals, similar to Ichimoku's Conversion Line
- **Primary Wave (89-period)**: Main trend identification with retest detection
- **Swell Wave (178-period)**: Long-term trend context and major wave analysis
**Visual Wave Analysis**
- **Wave Power Fill**: Dynamic area between primary and swell waves showing trend strength
- **Peak Power Fill**: Short-term momentum visualization
- **Smooth Curves**: Hull MA-based calculations provide cleaner signals than traditional moving averages
**Intelligent Signal System**
- **Trend Shift Signals**: Clear visual markers when trend changes occur
- **Retest Detection**: Identifies potential retest opportunities with specific conditions
- **Correction Alerts**: Early warning signals for market corrections
---
📊 How It Works
The indicator uses **Hull Moving Averages** with **Fibonacci-based periods** (34, 89, 178) and a **Golden Ratio multiplier (1.64)** to create natural market rhythm analysis.
**Key Signal Types:**
- 🔵 **Circles**: Major trend shifts (primary wave crossovers)
- 💎 **Diamonds**: Retest opportunities with multi-wave confirmation
- ❌ **X-marks**: Correction signals and structural breaks
- 🌊 **Wave Fills**: Visual trend strength and direction
---
🎓 Educational Purpose
This indicator demonstrates:
- Advanced moving average techniques using Hull MA
- Multi-timeframe analysis in a single view
- Wave theory application in technical analysis
- Dynamic support/resistance concept visualization
**Similar to Ichimoku but Different:**
- Ichimoku uses price-based calculations → Angular cloud shapes
- MARS uses weighted averages → Smooth, flowing wave patterns
- Both identify trend direction, but MARS offers faster signals with cleaner visualization
---
⚙️ Customizable Settings
- **Wave Periods**: Adjust primary wave length (default: 89)
- **Multipliers**: Fine-tune wave sensitivity (default: 1.64 Golden Ratio)
- **Visual Style**: Customize line widths and signal displays
- **Peak Analysis**: Independent fast signal system (default: 34)
---
🔍 Usage Tips
1. **Trend Identification**: Watch wave fill colors and line positions
2. **Entry Timing**: Look for retest diamonds after trend shift circles
3. **Risk Management**: Use wave boundaries as dynamic support/resistance
4. **Confirmation**: Combine with price action and market structure analysis
---
⚠️ Important Notes
- **Educational Tool**: Designed for learning wave analysis concepts
- **Not Financial Advice**: Always use proper risk management
- **Backtesting Recommended**: Test on historical data before live trading
- **Combine with Analysis**: Works best with additional confirmation methods
---
🚀 Innovation
MARS represents a unique approach to wave analysis by:
- Combining Hull MA smoothness with Ichimoku-style visualization
- Providing multi-timeframe analysis without chart clutter
- Offering retest detection with specific wave conditions
- Creating an educational bridge between different analytical methods
---
*This indicator is shared for educational purposes to help traders understand advanced moving average techniques and wave analysis concepts. Always practice proper risk management and combine with your own analysis.*
MA//@version=5
indicator("MA20 và EMA9", overlay=true)
// === Input tham số ===
lengthMA = input.int(20, "Độ dài MA", minval=1)
lengthEMA = input.int(9, "Độ dài EMA", minval=1)
// === Tính toán đường trung bình ===
ma20 = ta.sma(close, lengthMA) // Simple Moving Average 20
ema9 = ta.ema(close, lengthEMA) // Exponential Moving Average 9
// === Vẽ ra biểu đồ ===
plot(ma20, color=color.red, linewidth=2, title="MA20")
plot(ema9, color=color.blue, linewidth=2, title="EMA9")
Thần Tiên / Hạ Phàm (MTF)🔔 Thần Tiên / Hạ Phàm (MTF) Indicator – modified & optimized for real trading practice.
✅ For educational and reference purposes only – not financial advice.
📩 To get the optimized settings & detailed trading strategy, contact me on Telegram: @NDucnhan79
CTS-StochasticThis Pine Script code defines a custom technical indicator for the TradingView platform called "CTS-Stochastic Complete". It calculates and displays a standard stochastic oscillator and generates trading signals based on unconventional crossover logic.
Here is a breakdown of its functionality:
Core Functionality
The script calculates the Stochastic Oscillator, a momentum indicator that compares a particular closing price of an asset to a range of its prices over a certain period of time. It consists of two lines:
%K Line: The main stochastic line, calculated and then smoothed.
%D Line: A moving average of the %K line, acting as a signal line.
These two lines oscillate between 0 and 100.
Key Sections of the Code:
Indicator Declaration:
indicator("CTS-Stochastic Complete", ... overlay=false): This line declares the script as an indicator that will be displayed in a separate panel below the main price chart.
User Inputs:
You can customize the indicator's parameters from the settings menu:
Stochastic Length: The lookback period for the stochastic calculation (default is 14).
%K Smoothing: The period for smoothing the raw stochastic to create the %K line (default is 3).
%D Smoothing: The period for the moving average of the %K line to create the %D line (default is 3).
Upper Band: The threshold for the overbought level (default is 65).
Lower Band: The threshold for the oversold level (default is 35).
Plotting:
It plots the %K line in blue and the %D line in orange.
It draws two horizontal lines: a red "Upper Band" for the overbought level and a green "Lower Band" for the oversold level.
Signal Logic and Visualization:
Buy Signal: A green triangle pointing up appears at the top of the indicator window when the blue %K line crosses above the red overBought line.
Sell Signal: A red triangle pointing down appears at the bottom of the indicator window when the blue %K line crosses below the green underSold line.
Note: The signal logic is unconventional. Typically, a buy signal is generated when the stochastic crosses up from the oversold area, and a sell signal occurs when it crosses down from the overbought area. This script's logic is reversed from the traditional interpretation.
Alerts:
The script includes alertcondition functions that allow you to create server-side alerts in TradingView. You can set up notifications for when a "Buy Signal" or "Sell Signal" occurs based on the logic described above.
Premarket Hi/Lo + Prior Day O/C LevelsPremarket Hi/Lo + Prior Day O/C (today only) shows four clear reference levels for the current regular trading session: the Premarket High and Premarket Low (taken from a user-defined premarket window, 04:00–09:30 by default) and Yesterday’s 09:30 Open and 15:59 Close (sourced from the 1-minute feed for accuracy). The premarket levels “lock” at the opening bell so they don’t move for the rest of the day. All four lines are displayed only during today’s regular hours to keep the chart focused. Small right-edge labels and an optional top-right mini-table show the exact values at a glance.
This indicator is designed to give immediate context without technical jargon. The premarket high/low summarize where price traveled before the bell; the prior-day open/close summarize where the last session began and ended. Checking whether price is above or below these markers helps you quickly judge strength or weakness and anticipate where price may pause, bounce, or break. Typical uses include watching for a clean break and hold above Premarket High (often bullish), a break and hold below Premarket Low (often bearish), drift back toward Prior Day Close after a gap (a common “magnet”), and flips around Prior Day Open that can lead to continuation.
Setup: Turn on Extended Hours in TradingView so premarket bars are visible (Chart Settings → Symbol → Extended Hours). Apply the indicator to any intraday timeframe. In Inputs, you can change the premarket window to match your market, adjust colors and line widths, and toggle the floating labels and the mini-table. Times use the chart’s exchange time (for US stocks, Eastern Time).
Notes and limits: Lines show only for today’s session (default 09:30–16:00). The script looks at the previous calendar day for “prior day,” so values may be empty after weekends or holidays when markets were closed. If your instrument uses different regular hours or you trade futures/crypto, adjust the premarket session in Inputs and—if needed—edit the regular-hours window in code to match. If your data source does not include premarket, the premarket lines will be blank.
Best practice: The first 15–30 minutes after the open are where these levels have the most impact. Reactions are more meaningful when a line aligns with another tool you use (e.g., VWAP or your opening range). If price does not react clearly at a line, avoid forcing a trade.
kaka 谈趋势The Exponential Moving Average (EMA) strategy is a popular technical analysis tool used in trading to smooth price data over a specific time period. The EMA gives more weight to recent prices, making it more responsive to recent price changes compared to the Simple Moving Average (SMA).
3 Velas alejadas de EMA4 (1m) — Reversiónes una script de ema de 4 que sube o baja asdasdasdadadasdasdadasd
Trend Analyzer v0.6Trend Analyzer EMA Only v0.6
Simple yet powerful EMA trend analysis with multi-timeframe support!
Overview:
This comprehensive indicator focuses on EMA-based trend analysis with clean visual presentation. It provides clear BUY/SELL signals, trend tracking with unique IDs, peak detection, and multi-timeframe analysis across M15, M30, and H1 timeframes.
Key Features:
✅ EMA Trend Analysis - Fast and Slow EMA crossover signals
✅ Trend Tracking - Unique trend IDs with start/end markers
✅ Peak Detection - Automatic peak identification during trends
✅ Multi-Timeframe - Analysis across M15, M30, and H1 timeframes
✅ Visual Clarity - Dotted lines connecting labels to candles
✅ Statistics - BUY/SELL count and average trend length
How It Works:
The indicator calculates signal strength using weighted analysis:
• MACD (50%) - Primary trend momentum
• RSI (30%) - Overbought/oversold conditions
• Volume (20%) - Volume confirmation
Signal Logic:
• BUY - Fast EMA crosses above Slow EMA + both slopes positive
• SELL - Fast EMA crosses below Slow EMA + both slopes negative
• NEUTRAL - EMAs too close (below threshold)
Visual Elements:
• 🟢 BUY - Green label with trend ID
• 🔴 SELL - Red label with trend ID
• ⚪ NEUTRAL - Gray label with trend ID
• 🟡 PEAK - Yellow label marking trend extremes
• ⚫ END - Gray label marking trend end
Information Table:
Real-time display showing:
• Current Timeframe trend state
• Multi-Timeframe analysis (M15, M30, H1)
• PEAK Labels status
• Offset Type configuration
• Trend Strength percentage
• Statistics (BUY/SELL count, average trend length)
Settings:
• Fast EMA Length - 9 (default)
• Slow EMA Length - 21 (default)
• Min Trend Bars - 3 (filters short trends)
• Label Offset Type - ATR, % of price, or Dynamic
• Show PEAK Labels - On/Off toggle
Best Practices:
🎯 Works best in trending markets
📊 Use as overlay on main chart
⚡ Combine with price action analysis
🛡️ Always use proper risk management
Pro Tips:
• Green background = Strong uptrend, Red background = Strong downtrend
• Watch for trend change arrows for early reversal signals
• Use the information table for quick market assessment
• Monitor trend statistics for market behavior insights
Alerts:
• BUY Alert - "BUY signal detected"
• SELL Alert - "SELL signal detected"
Version 0.6 Improvements:
• Optimized performance
• Enhanced visual clarity
• Improved multi-timeframe analysis
• Refined trend detection algorithms
Created with ❤️ for the trading community
This indicator is free to use for both commercial and non-commercial purposes.
Trend Analyzer MACD EnhancedTrend Analyzer MACD Enhanced
Advanced trend analysis with MACD, RSI, Volume and Divergence detection!
Overview
This comprehensive indicator combines multiple technical analysis tools into one powerful visualization. It features dynamic background coloring, real-time signal strength calculation, and automatic divergence detection for complete market analysis.
Key Features
✅ Multi-Indicator Analysis- MACD, RSI, and Volume in one indicator
✅ Divergence Detection - Automatic bullish and bearish divergence identification
✅ Dynamic Background - Color-coded trend zones with smooth transitions
✅ Signal Strength - Weighted calculation showing overall market sentiment (0-100%)
✅ Trend Change Detection - Visual markers for trend reversals
✅ Information Table - Real-time status of all indicators
How It Works
The indicator calculates signal strength using weighted analysis:
- MACD (50%) - Primary trend momentum
- RSI (30%) - Overbought/oversold conditions
- Volume (20%) - Volume confirmation
Signal Strength Range: -100% to +100%
Visual Elements
Background Colors:
- 🟢 **Green** - Uptrend (intensity based on signal strength)
- 🔴 **Red** - Downtrend (intensity based on signal strength)
- ⚪ **Gray** - Neutral/sideways market
Trend Markers:
- 🔺 **Green Triangle Up** - Start of new uptrend
- 🔻 **Red Triangle Down** - Start of new downtrend
- 📏 **Vertical Lines** - Trend change confirmation
Information Table
Real-time display showing:
- Trend - Current trend state with color coding
- MACD - Direction and crossover status
- RSI - Level and overbought/oversold status
- Volume - Level and trend direction
- Divergence - Current divergence status
- Signal Strength - Overall percentage
Alerts
Built-in alerts for:
- Strong Buy/Sell Signals - High probability setups
- Divergence Signals - Early reversal warnings
Settings
MACD:Fast (12), Slow (26), Signal (9)
RSI:Length (14), Overbought (70), Oversold (30)
Volume:MA Length (20), Threshold (1.5x)
Display:Toggle RSI, Volume, and Table visibility
Best Practices
🎯 Works best in trending markets
📊 Use in separate window below main chart
⚡ Combine with price action analysis
🛡️ Always use proper risk management
Pro Tips
- Green background = Strong uptrend, Red background = Strong downtrend
- Signal strength > 50% = Very bullish, < -50% = Very bearish
- Watch for divergence signals for early reversal warnings
- Use the information table for quick market assessment
---
Created with ❤️ for the trading community
This indicator is free to use for both commercial and non-commercial purposes.
Ohm Horizontal line//@version=5
indicator("Ohm Horizontal line", overlay=true)
// Input parameters
atrPeriod = input.int(14, "ATR Period", minval=1)
atrMultiplier = input.float(1.0, "ATR Multiplier", step=0.1)
numLevels = input.int(10, "Number of Levels (each side)", minval=1)
lineWidth = input.int(1, "Line Width", minval=1, maxval=4)
labelOffset = input.int(20, "Label Offset", minval=0)
// Calculate daily ATR
dailyAtr = request.security(syminfo.tickerid, "D", ta.atr(atrPeriod))
// Function to get rounded price based on ATR
getRoundedPrice(price, atrValue) =>
math.round(price / (atrValue * atrMultiplier)) * (atrValue * atrMultiplier)
// Calculate center price (current close rounded to nearest ATR multiple)
centerPrice = getRoundedPrice(close, dailyAtr)
// Create arrays for price levels
var float levels = array.new_float(2 * numLevels + 1)
var float midLevels = array.new_float(2 * numLevels)
// Update price levels
updateLevels() =>
array.set(levels, numLevels, centerPrice)
for i = 1 to numLevels
upperLevel = centerPrice + i * dailyAtr * atrMultiplier
lowerLevel = centerPrice - i * dailyAtr * atrMultiplier
array.set(levels, numLevels + i, upperLevel)
array.set(levels, numLevels - i, lowerLevel)
// Calculate mid levels
if i > 1
upperMid = (array.get(levels, numLevels + i) + array.get(levels, numLevels + i - 1)) / 2
lowerMid = (array.get(levels, numLevels - i) + array.get(levels, numLevels - i + 1)) / 2
array.set(midLevels, numLevels + i - 2, upperMid)
array.set(midLevels, numLevels - i + 1, lowerMid)
// Update levels on every bar
updateLevels()
// Plot horizontal lines and price labels
var line horizontalLines = array.new_line(2 * numLevels + 1)
var line midLines = array.new_line(2 * numLevels)
var label priceLabels = array.new_label(2 * numLevels + 1)
// Function to draw or update a line
drawLine(lineArray, index, y, color, width, style) =>
if na(array.get(lineArray, index))
array.set(lineArray, index, line.new(bar_index, y, bar_index + 1, y, color=color, width=width, style=style, extend=extend.both))
else
line.set_xy1(array.get(lineArray, index), bar_index, y)
line.set_xy2(array.get(lineArray, index), bar_index + 1, y)
line.set_color(array.get(lineArray, index), color)
line.set_width(array.get(lineArray, index), width)
line.set_style(array.get(lineArray, index), style)
// Draw main levels
for i = 0 to 2 * numLevels
level = array.get(levels, i)
lineColor = i == numLevels ? color.yellow : (i > numLevels ? color.green : color.red)
drawLine(horizontalLines, i, level, lineColor, lineWidth, line.style_solid)
if na(array.get(priceLabels, i))
array.set(priceLabels, i, label.new(bar_index + labelOffset, level, str.tostring(level, format.mintick), color=color.new(color.black, 100), textcolor=lineColor, style=label.style_none, size=size.small))
else
label.set_xy(array.get(priceLabels, i), bar_index + labelOffset, level)
label.set_text(array.get(priceLabels, i), str.tostring(level, format.mintick))
label.set_textcolor(array.get(priceLabels, i), lineColor)
// Draw mid levels (without labels)
for i = 0 to 2 * numLevels - 1
midLevel = array.get(midLevels, i)
lineColor = i >= numLevels ? color.new(color.green, 50) : color.new(color.red, 50)
drawLine(midLines, i, midLevel, lineColor, 1, line.style_dashed)
// Display current ATR value
var label atrLabel = na
label.delete(atrLabel)
atrLabel := label.new(bar_index , high, text="ATR: " + str.tostring(dailyAtr, "#.##"), color=color.new(color.blue, 0), textcolor=color.white, size=size.small)
Ohm Horizontal line//@version=5
indicator("Ohm Horizontal line", overlay=true)
// Input parameters
atrPeriod = input.int(14, "ATR Period", minval=1)
atrMultiplier = input.float(1.0, "ATR Multiplier", step=0.1)
numLevels = input.int(10, "Number of Levels (each side)", minval=1)
lineWidth = input.int(1, "Line Width", minval=1, maxval=4)
labelOffset = input.int(20, "Label Offset", minval=0)
// Calculate daily ATR
dailyAtr = request.security(syminfo.tickerid, "D", ta.atr(atrPeriod))
// Function to get rounded price based on ATR
getRoundedPrice(price, atrValue) =>
math.round(price / (atrValue * atrMultiplier)) * (atrValue * atrMultiplier)
// Calculate center price (current close rounded to nearest ATR multiple)
centerPrice = getRoundedPrice(close, dailyAtr)
// Create arrays for price levels
var float levels = array.new_float(2 * numLevels + 1)
var float midLevels = array.new_float(2 * numLevels)
// Update price levels
updateLevels() =>
array.set(levels, numLevels, centerPrice)
for i = 1 to numLevels
upperLevel = centerPrice + i * dailyAtr * atrMultiplier
lowerLevel = centerPrice - i * dailyAtr * atrMultiplier
array.set(levels, numLevels + i, upperLevel)
array.set(levels, numLevels - i, lowerLevel)
// Calculate mid levels
if i > 1
upperMid = (array.get(levels, numLevels + i) + array.get(levels, numLevels + i - 1)) / 2
lowerMid = (array.get(levels, numLevels - i) + array.get(levels, numLevels - i + 1)) / 2
array.set(midLevels, numLevels + i - 2, upperMid)
array.set(midLevels, numLevels - i + 1, lowerMid)
// Update levels on every bar
updateLevels()
// Plot horizontal lines and price labels
var line horizontalLines = array.new_line(2 * numLevels + 1)
var line midLines = array.new_line(2 * numLevels)
var label priceLabels = array.new_label(2 * numLevels + 1)
// Function to draw or update a line
drawLine(lineArray, index, y, color, width, style) =>
if na(array.get(lineArray, index))
array.set(lineArray, index, line.new(bar_index, y, bar_index + 1, y, color=color, width=width, style=style, extend=extend.both))
else
line.set_xy1(array.get(lineArray, index), bar_index, y)
line.set_xy2(array.get(lineArray, index), bar_index + 1, y)
line.set_color(array.get(lineArray, index), color)
line.set_width(array.get(lineArray, index), width)
line.set_style(array.get(lineArray, index), style)
// Draw main levels
for i = 0 to 2 * numLevels
level = array.get(levels, i)
lineColor = i == numLevels ? color.yellow : (i > numLevels ? color.green : color.red)
drawLine(horizontalLines, i, level, lineColor, lineWidth, line.style_solid)
if na(array.get(priceLabels, i))
array.set(priceLabels, i, label.new(bar_index + labelOffset, level, str.tostring(level, format.mintick), color=color.new(color.black, 100), textcolor=lineColor, style=label.style_none, size=size.small))
else
label.set_xy(array.get(priceLabels, i), bar_index + labelOffset, level)
label.set_text(array.get(priceLabels, i), str.tostring(level, format.mintick))
label.set_textcolor(array.get(priceLabels, i), lineColor)
// Draw mid levels (without labels)
for i = 0 to 2 * numLevels - 1
midLevel = array.get(midLevels, i)
lineColor = i >= numLevels ? color.new(color.green, 50) : color.new(color.red, 50)
drawLine(midLines, i, midLevel, lineColor, 1, line.style_dashed)
// Display current ATR value
var label atrLabel = na
label.delete(atrLabel)
atrLabel := label.new(bar_index , high, text="ATR: " + str.tostring(dailyAtr, "#.##"), color=color.new(color.blue, 0), textcolor=color.white, size=size.small)
Trend Bars with Okuninushi Line Filter# Trend Bars with Okuninushi Line Filter: A Powerful Trading Indicator
## Introduction
The **Trend Bars with Okuninushi Line Filter** is an innovative technical indicator that combines two powerful concepts: trend bar analysis and the Okuninushi Line filter. This indicator helps traders identify high-quality trending moves by analyzing candle body strength relative to the overall price range while ensuring the price action aligns with the dominant market structure.
## What Are Trend Bars?
Trend bars are candles where the body (distance between open and close) represents a significant portion of the total price range (high to low). These bars indicate strong directional momentum with minimal indecision, making them valuable signals for trend continuation.
### Key Characteristics:
- **Strong directional movement**: Large body relative to total range
- **Minimal upper/lower shadows**: Shows sustained pressure in one direction
- **High conviction**: Represents decisive market action
## The Okuninushi Line Filter
The Okuninushi Line, also known as the Kijun Line in Ichimoku analysis, is calculated as the midpoint of the highest high and lowest low over a specified period (default: 52 periods).
**Formula**: `(Highest High + Lowest Low) / 2`
This line acts as a dynamic support/resistance level and trend filter, helping to:
- Identify the overall market bias
- Filter out counter-trend signals
- Provide confluence for trade entries
## How the Indicator Works
The indicator combines these two concepts with the following logic:
### Bull Trend Bars (Green)
A candle is colored **green** when ALL conditions are met:
1. **Bullish candle**: Close > Open
2. **Strong body**: |Close - Open| ≥ Threshold × (High - Low)
3. **Above trend filter**: Close > Okuninushi Line
### Bear Trend Bars (Red)
A candle is colored **red** when ALL conditions are met:
1. **Bearish candle**: Close < Open
2. **Strong body**: |Close - Open| ≥ Threshold × (High - Low)
3. **Below trend filter**: Close < Okuninushi Line
### Neutral Bars (Gray)
All other candles that don't meet the complete criteria are colored **gray**.
## Customizable Parameters
### Trend Bar Threshold
- **Range**: 10% to 100%
- **Default**: 75%
- **Purpose**: Controls how "strong" a candle must be to qualify as a trend bar
**Threshold Effects:**
- **Low (10-30%)**: More sensitive, catches smaller trending moves
- **Medium (50-75%)**: Balanced approach, filters out most noise
- **High (80-100%)**: Very selective, only captures the strongest moves
### Okuninushi Line Length
- **Default**: 52 periods
- **Purpose**: Determines the lookback period for calculating the midpoint
- **Common Settings**:
- 26 periods: More responsive to recent price action
- 52 periods: Standard setting, good balance
- 104 periods: Longer-term trend perspective
## Trading Applications
### 1. Trend Continuation Signals
- **Green bars**: Look for bullish continuation opportunities
- **Red bars**: Consider bearish continuation setups
- **Gray bars**: Exercise caution, mixed signals
### 2. Market Structure Analysis
- Clusters of same-colored bars indicate strong trends
- Alternating colors suggest choppy, indecisive markets
- Transition from red to green (or vice versa) may signal trend changes
### 3. Entry Timing
- Use colored bars as confirmation for existing trade setups
- Wait for color alignment with your market bias
- Avoid trading during predominantly gray periods
### 4. Risk Management
- Gray bars can serve as early warning signs of weakening trends
- Color changes might indicate appropriate exit points
- Use in conjunction with other risk management tools
## Advantages
1. **Dual Filtering**: Combines momentum (trend bars) with trend direction (Okuninushi Line)
2. **Visual Clarity**: Immediate visual feedback through candle coloring
3. **Customizable**: Adjustable parameters for different trading styles
4. **Versatile**: Works across multiple timeframes and instruments
5. **Objective**: Rule-based system reduces subjective interpretation
## Limitations
1. **Lagging Nature**: Based on historical price data
2. **False Signals**: Can produce whipsaws in choppy markets
3. **Parameter Sensitivity**: Requires optimization for different instruments
4. **Market Conditions**: May be less effective in ranging markets
## Best Practices
### Optimization Tips:
- **Volatile Markets**: Use higher thresholds (80-90%)
- **Steady Trends**: Use moderate thresholds (60-75%)
- **Short-term Trading**: Shorter Okuninushi Line periods (26)
- **Long-term Analysis**: Longer Okuninushi Line periods (104+)
### Combination Strategies:
- Pair with volume indicators for confirmation
- Use alongside support/resistance levels
- Combine with other trend-following indicators
- Consider market context and overall trend direction
## Conclusion
The Trend Bars with Okuninushi Line Filter offers traders a sophisticated yet intuitive way to identify high-quality trending moves. By combining the momentum characteristics of trend bars with the directional filter of the Okuninushi Line, this indicator helps traders focus on the most promising opportunities while avoiding low-probability setups.
Remember that no single indicator should be used in isolation. Always consider market context, risk management, and other technical factors when making trading decisions. The true power of this indicator lies in its ability to quickly highlight periods of strong, aligned price action – exactly what trend traders are looking for.
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*Disclaimer: This article is for educational purposes only and should not be considered as financial advice. Always conduct your own research and consider your risk tolerance before making any trading decisions.*
Multiplied and Divided Moving Average ### Multiplied and Divided Moving Average Indicator
**Description**:
The "Multiplied and Divided Moving Average" indicator is a customizable tool for TradingView users, designed to create dynamic bands around a user-selected moving average (MA). It calculates a moving average (SMA, EMA, WMA, VWMA, or RMA) and generates a user-defined number of lines above and below it by multiplying and dividing the MA by linearly spaced factors. These bands serve as potential support and resistance levels, aiding in trend identification, mean reversion strategies, or breakout detection. Optional Buy/Sell labels appear when the price crosses below the divided MAs (Buy) or above the multiplied MAs (Sell), providing clear visual cues for trading opportunities.
**Key Features**:
- **Flexible MA Types**: Choose from Simple (SMA), Exponential (EMA), Weighted (WMA), Volume-Weighted (VWMA), or Running (RMA) moving averages.
- **Customizable Bands**: Set the number of lines (0–10) above and below the MA, allowing tailored analysis for any market or timeframe.
- **Dynamic Factors**: Bands are created using factors that scale linearly from 1 to a user-defined maximum (default: 5.0), creating intuitive overbought/oversold zones.
- **Buy/Sell Signals**: Optional labels highlight potential entry (Buy) and exit (Sell) points when the price crosses the bands.
- **Clear Visuals**: The main MA is plotted in blue, with green (multiplied) and red (divided) lines using graduated transparency for easy differentiation.
**Inputs**:
- **MA Type**: Select the moving average type (default: SMA).
- **MA Length**: Set the MA period (default: 14).
- **Number of Lines Above/Below**: Choose how many bands to plot above and below the MA (default: 4, range: 0–10).
- **Max Factor**: Define the largest multiplier/divisor for the outermost bands (default: 5.0).
- **Source**: Select the price data for the MA (default: close).
- **Show Buy/Sell Labels**: Enable or disable Buy/Sell labels (default: true).
**How It Works**:
1. Calculates the chosen moving average based on user inputs.
2. Creates up to 10 lines above the MA (e.g., MA × 2, ×3, ×4, ×5 for `numLines=4`, `maxFactor=5`) and 10 below (e.g., MA ÷ 2, ÷3, ÷4, ÷5).
3. Plots the main MA in blue, multiplied lines in green, and divided lines in red, with transparency increasing for outer bands.
4. If enabled, displays "Buy" labels when the price crosses below any divided MA and "Sell" labels when it crosses above any multiplied MA, positioned at the outermost band.
**Use Cases**:
- **Trend Analysis**: Use the bands as dynamic support/resistance to confirm trend direction or reversals.
- **Mean Reversion**: Identify overbought (near multiplied MAs) or oversold (near divided MAs) conditions.
- **Breakout Trading**: Monitor price crossovers of the outermost bands for potential breakout signals.
- **Signal Confirmation**: Use Buy/Sell labels for swing trading or to complement other indicators.
**How to Use**:
1. Copy the script into TradingView’s Pine Editor.
2. Compile and apply it to your chart (e.g., stocks, forex, crypto).
3. Adjust inputs like `numLines`, `maxFactor`, or `maType` to fit your strategy.
4. Enable `Show Buy/Sell Labels` to visualize trading signals.
5. Test on various timeframes (e.g., 1H, 4H, 1D) and assets to optimize settings.
**Example Settings**:
- **Swing Trading**: Use `numLines=3`, `maxFactor=4`, `maType=EMA`, `maLength=20` on a 4-hour chart.
- **Intraday**: Try `numLines=2`, `maxFactor=3`, `maType=SMA`, `maLength=10` on a 15-minute chart.
**Notes**:
- **Performance**: Supports up to 20 bands (10 above, 10 below), staying within TradingView’s 64-plot limit.
- **False Signals**: In choppy markets, frequent crossovers may occur. Combine with trend filters (e.g., ADX, higher-timeframe MA) to reduce noise.
- **Enhancements**: Add alerts via TradingView’s alert system for Buy/Sell signals, or experiment with different `maxFactor` values for volatility.
**Limitations**:
- Bands are reactive, as they’re based on a moving average, so confirm signals with other indicators.
- High `numLines` values may clutter the chart; use 2–4 for clarity.
- Signals may lag in fast-moving markets due to the MA’s smoothing effect.
This indicator is perfect for traders seeking a customizable, visually clear tool to enhance technical analysis on TradingView. For support, feature requests (e.g., alerts, custom colors), or community discussion, visit TradingView’s forums or contact the script author.
