Market Structure TableJust learning pinescript...
Indicator should summarise market structure in a table and overplot pivot points on chart
Göstergeler ve stratejiler
SuperTrend Adaptive (STD Smooth)Supertrend DeNoise (StdDev + Smoothing) is an advanced trend-following indicator designed to reduce false signals and market noise. This version enhances the classic Supertrend by incorporating standard deviation into the channel calculation and a smoothing factor, making the bands wider and more adaptive to volatility. The result is fewer whipsaws and clearer, more robust trend signals. Buy and sell labels appear only at the latest signal, keeping your chart uncluttered and focused. Ideal for traders seeking a cleaner trend indicator for any timeframe.
15-Metric Strong Buy System (Final Version)This Pine Script analyzes 15 key technical signals to identify strong buy opportunities.
It assigns a score out of 13 for core conditions and checks 2 optional filters (Delivery Spike and RS > Nifty).
It only shows signals on the latest bar to keep the chart clean.
🧠 Core Structure Breakdown
✅ SECTION 1: Core Technical Signals (13 total)
Each of the following conditions adds 1 point to the score:
# Signal What It Checks Why It's Used
1 RSI (Daily & 1H) Both timeframes >55 and rising Confirms strength across multiple timeframes
2 Price > EMA20 & EMA50 Above short/medium-term trend lines Confirms uptrend support
3 Price near 20-day High Within 2% of recent high Breakout proximity
4 Volume > 20 SMA Unusual trading activity Confirms strength behind move
5 MACD Bullish Line > Signal and Histogram > 0 Momentum is building
6 ADX > 20 and +DI > -DI Trend strength and direction Validates strong directional trend
7 Bullish Candle Green candle with higher close Confirms bullish price action
8 BB Breakout Close > Upper Bollinger Band Volatility breakout confirmation
9 Supertrend Proxy Close above custom supertrend Simple trend direction filter
10 Close > Prev. High Break of short-term resistance Momentum continuation
11 VWAP Filter Close above VWAP Price leadership relative to volume
12 Weekly RSI > 50 Long-term trend momentum Confirms broader trend strength
13 BB Squeeze Bollinger Band width is low Signals potential upcoming move
🎯 Total Score = 0 to 13
🎯 SECTION 2: Optional Strength Filters (Displayed as labels)
Label What It Means Why It Matters
RS > Nifty Relative strength RSI > 55 vs Nifty Indicates outperformance
Delivery Spike Volume > 1.5× avg & bullish candle Suggests institutional activity
These are not included in the score, but if triggered, the chart displays:
🏷️ "RS > NIFTY" and/or
🏷️ "DELIVERY SPIKE"
in black background + white text boxes above the latest bar.
✅ SECTION 3: Output Logic
If score ≥ 12 → Show "STRONG BUY" on latest candle
If score = 11 → Show "BUY"
Also shows score label like Score: 12/13
Optional filters are displayed as labels if true
No clutter on historical candles — only current signal is shown.
🔔 SECTION 4: Alerts
Alert Trigger What It Does
score >= 12 Fires "Strong Buy Alert"
score == 11 Fires "Buy Alert"
⚖️ Pros & Cons (Analyst View)
✅ Pros:
Covers breadth of momentum, trend, breakout, and strength
Uses multi-timeframe confirmation for reliability
Avoids repainting by using latest bar only
Optional filters help detect smart money participation
Clean, uncluttered interface
❌ Cons:
Doesn’t include fundamentals
False positives possible during sideways or news-driven moves
No exit logic or Sell trigger
Uses proxy for Delivery spike, not actual delivery % (due to TradingView data limits)
💡 When to Trust the Signal?
Score Label Confidence
13/13 ✅ STRONG BUY + optional filters 🔥 Extremely strong
12/13 ✅ STRONG BUY ✅ Very high
11/13 BUY ⚠️ Medium — confirm with chart pattern
<11 — ❌ Avoid
Supply & Demand Zones - [RealFact]Supply & Demand Zones -
This indicator automatically detects potential Supply and Demand Zones based on price action characteristics such as imbalance, engulfing patterns, and structural shifts. It’s designed to help traders identify key areas of interest where price is likely to react.
🔍 Features:
• Auto-detection of Demand (support) and Supply (resistance) zones
• Adjustable zone length
• Color-coded: Green for Demand zones, Red for Supply zones
🧠 Ideal For:
• Price Action Traders
• Order Block and Smart Money Strategy Users
• Those trading using FVG or structural break models
⚠️ Note:
This tool is intended for visual aid and market context analysis, not as a direct buy/sell signal. Always use it alongside your trading system and risk management plan.
✅ Created by
Percent Change of Range Candles - FullTHIS IS THE FINAL VERSION
Description of the Percent Change of Range Candles - Full Indicator
This indicator displays the percentage change relative to the price range (high-low) over a specified period and combines multiple timeframes to provide a more accurate view of market trends and momentum. The idea is to not rely solely on classic closing prices but also to consider the opening price, highest, and lowest values within the selected period, offering deeper insight into price movements.
What makes this indicator better than the previous two?
Combination of multiple timeframes and parameters — the indicator calculates not only one level of percentage change but also uses additional calculations for shorter periods (e.g., 25% of the main period length). This allows it to better track subtle changes and provide signals less prone to noise.
Visual representation with colors and horizontal levels — it clearly displays key percentage change levels and whether the current trend is positive or negative, making interpretation easier without additional analysis.
Candle visualization within the indicator (plotcandle) — unlike previous indicators that might display only lines, this one shows candles within the indicator window, allowing you to follow visual patterns that often add extra value.
Better adaptation to trend changes — the indicator dynamically adjusts input parameters depending on price direction (positive or negative change), making it more flexible and suitable for different market conditions.
How the indicator works
It first calculates the percentage change of the closing price relative to the high-low range over a chosen period (default 100 candles).
Then, it calculates the average change value from the previous five periods to smooth out sudden oscillations.
Additionally, it calculates values for a shorter period (25% of the total length), which are dynamically used as "high" or "low" values depending on the current trend (positive or negative).
Horizontal lines mark important percentage change levels (100%, 70%, 0%, -70%, -100%), serving as visual guides for trend strength and direction.
Candles inside the indicator further visualize the relationship between average and current values.
Purpose and application
This indicator is designed to track trend strength and market movements through percentage analysis of price ranges. It can be used for:
Detecting the start and end of trends,
Recognizing strong reversals or confirming trend continuation,
Complementary analysis alongside other technical indicators,
Facilitating decision-making in scalping and swing trading strategies.
What to watch out for
Like any indicator based on historical data, it does not guarantee success and should be used alongside other tools to confirm signals.
The length period (length) should be adjusted according to the market type and trading timeframe — longer periods provide more stable but slower signals, while shorter ones are more sensitive to noise.
Pay attention to the colors and levels on the indicator, as crossing horizontal lines may indicate potential trend reversals or strengthening.
Candles within the indicator window can help identify formations signaling entries or exits.
Quad Rotation - StochasticThis Indicator is a step up from the Triad Rotation Indicator previously made, as it has 4 Stochastic signals rather then 3.
It can be used mainly to identify potential reversal periods. If the Instrument becomes overbought, or oversold with all 4 stochastics a horizontal highlight will appear, either green or red. Green indicates the instrument is oversold, and may reverse soon, meaning you should take a buying positions, and red indicates an overbought position, where you may want to sell due to a reversal downward.
Additionally, you can set an alarm if all 4 stochastic indicators signal overbought or oversold. This will help reduce your need to watch each instrument, and reduce the likelihood of overtrading.
If you have comments regarding this indicator, if you found it helpful, or would like other improvements feel free to email me. If you are looking for other custom indicators, also feel free to email me. Email: thejak77@aol.com. This is an email rarely monitored, so please be patient, thank you!
All the best, and stay profitable!
🦌 Horn Pattern - Horn + FT - Ming Joo🦌 Horn Pattern Reversal Strategy (By Ming Joo)
This strategy is based on a 3-bar reversal pattern known as the Horn Pattern (bull-bear-bull for longs, bear-bull-bear for shorts). A confirmation bar (bar ) follows the pattern to validate a breakout.
🔍 Context Filter:
To ensure high-quality trades, a simple trend filter is applied using EMA(20):
✅ Bullish Horn signals are valid only if the confirmation bar closes above EMA20
✅ Bearish Horn signals are valid only if the confirmation bar closes below EMA20
This prevents taking counter-trend reversals in weak conditions.
🎯 Entry Logic:
Long entry: Horn high + 1 tick
Short entry: Horn low – 1 tick
Target: 1R
Stop: Structural extreme (low/high of the horn)
Optionally shows 0.5R line
This structure-based reversal model is suitable for 5min–1H timeframes, and works best on volatile instruments (e.g. ES1!, NQ1!, BTCUSD, AAPL).
BTC Event Contract Signal Indicator# BTC Event Contract Signal Indicator
**Version**: V1.0
**Last Updated**: December 21, 2024
**Author**: OxJohannWu
**Type**: Pine Script v6 Indicator (Overlay)
**Timeframes**: Optimized for 1-minute BTC data, supports all timeframes
## 📋 Overview
The BTC Event Contract Signal Indicator is a sophisticated technical analysis tool designed specifically for Bitcoin event contracts (binary options). This indicator provides real-time buy/sell signals with comprehensive contract tracking, performance statistics, and settlement monitoring - all displayed in Beijing time (UTC+8).
### Key Features
- **Smart Signal Generation**: Multi-layered technical analysis with adaptive filtering
- **Real-time Contract Tracking**: Monitor active contracts with automatic settlement detection
- **Performance Analytics**: Detailed win/loss statistics with daily breakdowns
- **Multi-timeframe Optimization**: Auto-adjusts parameters based on chart timeframe
- **Beijing Time Display**: All timestamps converted to Beijing timezone
- **Alert System**: TradingView alerts for all signal types
## 🎯 Trading Philosophy
This indicator combines correlation analysis, MACD momentum, and StochRSI oscillator signals to identify high-probability entry points for Bitcoin event contracts. The system prioritizes quality over quantity, using intelligent filtering to minimize false signals and maximize win rates.
## ⚙️ Parameter Configuration
### 📊 Technical Indicator Settings
- **Auto Timeframe Optimization**: Automatically selects optimal parameters based on current timeframe
- **MACD Settings**: Fast (8), Slow (21), Signal (5) - optimized for 1-minute BTC data
- **RSI Period**: 6 periods for responsive momentum detection
- **Stochastic Settings**: K smoothing (2), Period (6) for precise overbought/oversold levels
### 🔗 Correlation Analysis
- **Short-term Correlation**: 3-period correlation for immediate trend changes
- **Long-term Correlation**: 25-period correlation for broader market context
- **Correlation Slope**: Tracks momentum changes in price correlation
### 🎯 Smart Signal Optimization
Three intelligent modes to suit different trading styles:
#### Smart Balance Mode (Default)
- **Target Win Rate**: 80%+
- **Expected Signals**: 8-15 per day
- **Filtering**: 6-7 technical conditions
- **Best For**: Balanced trading with consistent profits
#### High Frequency Mode
- **Target Win Rate**: 75%+
- **Expected Signals**: 15-25 per day
- **Filtering**: 4 core technical conditions
- **Best For**: Active traders seeking more opportunities
#### Premium Quality Mode
- **Target Win Rate**: 85%+
- **Expected Signals**: 5-10 per day
- **Filtering**: 8 strict technical conditions
- **Best For**: Conservative traders prioritizing accuracy
### ⏰ Event Contract Settings
- **Contract Duration Options**: 10 Minutes, 30 Minutes, 1 Hour, 24 Hours
- **Single Contract Rule**: Only one active contract at a time
- **Auto Settlement**: Automatic win/loss detection at expiry
## 📈 Signal Generation Logic
### Core Technical Conditions
1. **Correlation Breakout**: Short-term correlation slope changes direction
2. **MACD Momentum**: MACD line above/below signal line with positive/negative slope
3. **StochRSI Position**: K-line slope changes indicating momentum shift
### Smart Filtering System
The indicator applies progressive filtering based on selected mode:
#### Basic Filters (All Modes)
- Volume above 1.4x average
- Correlation momentum confirmation
- MACD direction alignment
#### Advanced Filters (Smart Balance & Premium)
- Price action quality (body-to-wick ratio > 0.4)
- Momentum strength validation
- RSI safe zone (25-75 range)
- Optional trend filter with EMA confirmation
- Optional multi-timeframe confirmation
#### Premium Filters (Premium Quality Only)
- Enhanced volume threshold (1.8x average)
- Stricter correlation momentum (>1.0)
- Multi-timeframe EMA alignment
- Advanced momentum validation
### Signal Strength Classification
- **Normal Signals**: Basic technical alignment (small arrows)
- **Strong Signals**: Enhanced momentum + volume confirmation (large arrows)
## 🎨 Visual Display System
### Signal Arrows
- **🔼 Green Triangle Up**: Call signal (buy/long)
- **🔽 Red Triangle Down**: Put signal (sell/short)
- **💪 Enhanced Arrows**: Strong signals with special emoji indicators
### Settlement Results
- **🎉 WIN**: Profitable contracts (green)
- **💸 LOSS**: Losing contracts (red)
- **Automatic Display**: Shows results immediately upon contract expiry
### Information Labels
Each signal displays:
- Signal type (Call/Put, Normal/Strong)
- Selected mode and timeframe
- Contract duration
- Settlement results with win/loss indication
## 📊 Statistics Dashboard
### Real-time Performance Table
Located in the top-right corner, displaying:
#### Summary Statistics
- **Total Contracts**: Overall contract count
- **Overall Win Rate**: Percentage with color coding (Green: 80%+, Orange: 60-79%, Red: <60%)
- **Today's Performance**: Daily statistics with separate tracking
- **Win/Loss Breakdown**: Detailed count of profitable vs losing trades
#### Directional Analysis
- **Call Performance**: Success rate for bullish contracts
- **Put Performance**: Success rate for bearish contracts
- **Balanced Tracking**: Identifies directional bias in performance
#### System Status
- **Filter Mode**: Current smart filter status (Smart✓/Basic✗)
- **Contract Duration**: Selected timeframe
- **Beijing Time**: Real-time timestamp display
- **Current Price**: Live BTC/USDT price
- **Contract Status**: Active contract indicator (🔄 Active/✅ Ready)
## 💡 Usage Guidelines
### Optimal Setup
1. **Recommended Timeframe**: 1-minute for maximum signal frequency
2. **Symbol**: BTCUSDT or BTCUSD perpetual futures
3. **Mode Selection**: Start with "Smart Balance" for consistent performance
4. **Contract Duration**: Begin with 10-minute contracts for faster feedback
### Best Practices
- **Pre-market Analysis**: Check overall market conditions before trading
- **Risk Management**: Never risk more than 2-3% of capital per contract
- **Session Timing**: Best performance during high-volume trading sessions
- **Signal Confirmation**: Wait for arrow + label confirmation before entry
- **Performance Monitoring**: Regularly review win rate statistics
### Trading Sessions
- **Asian Session**: 00:00-08:00 Beijing Time (moderate volatility)
- **European Session**: 15:00-23:00 Beijing Time (high volatility)
- **US Session**: 21:00-05:00 Beijing Time (peak volatility)
## 🚨 Alert Configuration
### Available Alerts
1. **BTC Call Signal**: Basic bullish signal alerts
2. **BTC Put Signal**: Basic bearish signal alerts
3. **BTC Strong Call Signal**: High-quality bullish signals
4. **BTC Strong Put Signal**: High-quality bearish signals
### Alert Setup
```
Alert Condition: Select from dropdown
Frequency: Once Per Bar Close
Expiration: No expiration (for continuous monitoring)
Webhook: Optional for automated trading systems
```
### Alert Message Format
```
🚀 BTC Event Contract Call Signal
⏰ Time:
💰 Price: $
```
## 🔧 Advanced Configuration
### Parameter Optimization
- **Auto-Optimization Enabled**: Uses predefined optimized parameters
- **Manual Override**: Disable auto-optimization for custom parameter testing
- **Timeframe Adaptation**: Parameters automatically adjust for 1-min, 3-min, and higher timeframes
### Filter Customization
- **Volume Filter**: Adjustable multiplier (1.1-2.5x)
- **Trend Filter**: Optional EMA trend confirmation
- **Advanced Confirmation**: Multi-timeframe validation
- **Smart Filter**: Toggle for intelligent filtering system
## 📈 Performance Expectations
### Historical Backtesting Results
Based on extensive BTCUSDT 1-minute data testing:
#### Smart Balance Mode
- **Average Win Rate**: 78-82%
- **Daily Signals**: 10-15
- **Best Sessions**: European/US overlap
- **Recommended For**: Most traders
#### High Frequency Mode
- **Average Win Rate**: 73-77%
- **Daily Signals**: 18-25
- **Best Sessions**: High volatility periods
- **Recommended For**: Active scalpers
#### Premium Quality Mode
- **Average Win Rate**: 83-87%
- **Daily Signals**: 6-10
- **Best Sessions**: Trending market conditions
- **Recommended For**: Conservative traders
## ⚠️ Risk Warnings
### Important Disclaimers
- **High-Risk Trading**: Event contracts involve significant risk of loss
- **Market Volatility**: Cryptocurrency markets are highly volatile and unpredictable
- **No Guarantee**: Past performance does not guarantee future results
- **Capital Risk**: Only trade with funds you can afford to lose completely
### Risk Management Guidelines
- **Position Sizing**: Never risk more than 1-2% per trade
- **Daily Limits**: Set maximum daily loss limits
- **Emotional Control**: Avoid revenge trading after losses
- **Market Conditions**: Adjust exposure based on volatility
- **Continuous Monitoring**: Regularly assess indicator performance
## 🔄 Version History
### V1.0 (December 21, 2024)
- Initial English release
- Complete translation from Chinese version
- Optimized for international users
- Enhanced documentation with detailed explanations
- Maintained all original functionality and performance characteristics
## 🛠️ Technical Specifications
### Pine Script Details
- **Version**: Pine Script v6
- **Type**: Indicator with overlay=true
- **Max Objects**: 500 boxes, 500 labels
- **Memory Optimization**: Efficient array and map usage
- **Performance**: Optimized for real-time execution
### System Requirements
- **Platform**: TradingView Pro, Pro+, or Premium
- **Browser**: Modern browser with JavaScript enabled
- **Connection**: Stable internet for real-time data
- **Display**: Minimum 1080p resolution recommended
## 📞 Support & Updates
### Getting Help
- **Documentation**: Refer to this comprehensive guide
- **Common Issues**: Check parameter settings and timeframe compatibility
- **Performance**: Verify market conditions and volatility levels
### Update Policy
- **Regular Updates**: Continuous optimization based on market conditions
- **Version Tracking**: All changes documented with version numbers
- **Backward Compatibility**: Settings preserved across updates
---
**Disclaimer**: This indicator is for educational and analysis purposes only. Trading cryptocurrencies and event contracts involves substantial risk. Always conduct your own research and consider your risk tolerance before trading. The authors are not responsible for any trading losses incurred through the use of this indicator.
Mariam Market DashboardMariam Market Dashboard – A Quick Guide
Purpose:
Shows if the market is trending, volatile, or stuck so you can decide when to trade or wait.
How to Use
Add the indicator to your chart. Adjust basic settings like EMA, RSI, ATR lengths, and timezone if needed. Use it before entering any trade to confirm market conditions.
What Each Metric Means (with general ranges)
Session: Identifies which market session is active (New York, London, Tokyo).
Trend: Shows current market direction. “Up” means price above EMA and VWAP, “Down” means price below. Use this to confirm bullish or bearish bias.
HTF Trend: Confirms trend on a higher timeframe for stronger signals.
ATR (Average True Range): Measures market volatility or price movement speed.
Low ATR (e.g., below 0.5% of price) means quiet or slow market; high ATR (above 1% of price) means volatile or fast-moving market, good for active trades.
Strong Bar: A candlestick closing near its high (above 75% of range) indicates strong buying momentum; closing near its low indicates strong selling momentum.
Higher Volume: Volume higher than average (typically 10-20% above normal) means more market activity and stronger moves.
Volume / Avg Volume: Ratio above 1.2 (120%) shows volume is significantly higher than usual, signaling strong interest.
RVol % (Relative Volume %): Above 100% means volume is hotter than normal, increasing chances of strong moves; below 50% means low activity and possible indecision.
Delta: Difference between buying and selling volume (if available). A positive delta means buyers dominate; negative means sellers dominate.
ADX (Average Directional Index): Measures trend strength:
Below 20 means weak or no trend;
Above 25 means strong trend;
Between 20-25 is moderate trend.
RSI (Relative Strength Index): Momentum oscillator:
Below 30 = oversold (potential buy);
Above 70 = overbought (potential sell);
Between 40-60 means neutral momentum.
MACD: Confirms momentum direction:
Positive MACD histogram bars indicate bullish momentum;
Negative bars indicate bearish momentum.
Choppiness Index: Measures how much the market is ranging versus trending:
Above 60 = very choppy/sideways market;
Below 40 = trending market.
Consolidation: When true, price is stuck in a narrow range, signaling indecision. Avoid breakout trades during this.
Quick Trading Reminder
Trade only when the trend is clear and volume is above average. Avoid trading in low volume or choppy markets.
AD Pro//@version=5
indicator("AD Pro", overlay=true)
// === Inputs
atrLen = input.int(14, "ATR Length")
factor = input.float(0.7, "Factor")
slMultiplier = input.float(2.0, "SL Multiplier")
// Volatility Filter Input
atrFilterStrength = input.float(1.0, "Volatility Threshold (x Avg ATR)", step=0.1, minval=0.1)
// Min % Price Change Filter
enableMinMove = input.bool(true, "Enable Min % Price Change Filter")
lookbackBars = input.int(20, "Lookback Bars")
minMovePct = input.float(0.005, "Min % Price Change", step=0.001, minval=0)
// TP Buy colors
tp1BuyColor = input.color(color.lime, "TP1 Buy Color")
tp2BuyColor = input.color(color.green, "TP2 Buy Color")
tp3BuyColor = input.color(color.teal, "TP3 Buy Color")
// TP Sell colors
tp1SellColor = input.color(color.fuchsia, "TP1 Sell Color")
tp2SellColor = input.color(color.red, "TP2 Sell Color")
tp3SellColor = input.color(color.maroon, "TP3 Sell Color")
// SL colors
slBuyColor = input.color(color.blue, "SL Buy Color")
slSellColor = input.color(color.blue, "SL Sell Color")
// === Indicator Calculations
atr = ta.atr(atrLen)
avgATR = ta.sma(atr, 50)
atrCondition = atr > avgATR * atrFilterStrength
priceChange = math.abs(close - close ) / close
priceMoveOK = priceChange > minMovePct
priceChangeCondition = not enableMinMove or priceMoveOK
volatilityOK = atrCondition and priceChangeCondition
// === UT Bot Logic
src = close
var float trailPrice = na
var bool dirLong = true
longStop = src - factor * atr
shortStop = src + factor * atr
if na(trailPrice)
trailPrice := longStop
dirLong := true
else
if dirLong
trailPrice := math.max(trailPrice, longStop)
dirLong := src > trailPrice
else
trailPrice := math.min(trailPrice, shortStop)
dirLong := src > trailPrice
rawBuy = dirLong and not dirLong
rawSell = not dirLong and dirLong
// Apply Volatility Filter
buySignal = rawBuy and volatilityOK
sellSignal = rawSell and volatilityOK
// === Entry & Label Storage
var float entryPrice = na
var bool lastSignalIsBuy = na
var label tp1Lbl = na
var label tp2Lbl = na
var label tp3Lbl = na
var label slLbl = na
var line tp1Line = na
var line tp2Line = na
var line tp3Line = na
var line slLine = na
if buySignal or sellSignal
if not na(tp1Lbl)
label.delete(tp1Lbl)
if not na(tp2Lbl)
label.delete(tp2Lbl)
if not na(tp3Lbl)
label.delete(tp3Lbl)
if not na(slLbl)
label.delete(slLbl)
if not na(tp1Line)
line.delete(tp1Line)
if not na(tp2Line)
line.delete(tp2Line)
if not na(tp3Line)
line.delete(tp3Line)
if not na(slLine)
line.delete(slLine)
entryPrice := close
lastSignalIsBuy := buySignal
tp1 = entryPrice + (buySignal ? 1 : -1) * atr
tp2 = entryPrice + (buySignal ? 2 : -2) * atr
tp3 = entryPrice + (buySignal ? 3 : -3) * atr
sl = entryPrice - (buySignal ? 1 : -1) * factor * atr * slMultiplier
tp1Lbl := label.new(bar_index, tp1, "TP1 " + str.tostring(tp1, format.mintick),
style=label.style_label_right,
color=buySignal ? tp1BuyColor : tp1SellColor,
textcolor=color.black)
tp2Lbl := label.new(bar_index, tp2, "TP2 " + str.tostring(tp2, format.mintick),
style=label.style_label_right,
color=buySignal ? tp2BuyColor : tp2SellColor,
textcolor=color.white)
tp3Lbl := label.new(bar_index, tp3, "TP3 " + str.tostring(tp3, format.mintick),
style=label.style_label_right,
color=buySignal ? tp3BuyColor : tp3SellColor,
textcolor=color.white)
slLbl := label.new(bar_index, sl, "SL " + str.tostring(sl, format.mintick),
style=label.style_label_right,
color=buySignal ? slBuyColor : slSellColor,
textcolor=color.white)
tp1Line := line.new(bar_index, tp1, bar_index + 1, tp1,
color=buySignal ? tp1BuyColor : tp1SellColor, style=line.style_dashed)
tp2Line := line.new(bar_index, tp2, bar_index + 1, tp2,
color=buySignal ? tp2BuyColor : tp2SellColor, style=line.style_dashed)
tp3Line := line.new(bar_index, tp3, bar_index + 1, tp3,
color=buySignal ? tp3BuyColor : tp3SellColor, style=line.style_dashed)
slLine := line.new(bar_index, sl, bar_index + 1, sl,
color=buySignal ? slBuyColor : slSellColor, style=line.style_dashed)
// === Plot Signals
plotshape(buySignal, title="Buy", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY")
plotshape(sellSignal, title="Sell", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL")
// === Alerts
alertcondition(buySignal, title="Buy Alert", message="Buy Signal!")
alertcondition(sellSignal, title="Sell Alert", message="Sell Signal!")
DrawZigZag🟩 OVERVIEW
This library draws zigzag lines for existing pivots. It is designed to be simple to use. If your script creates pivots and you want to join them up while handling edge cases, this library does that quickly and efficiently. If you want your pivots created for you, choose one of the many other zigzag libraries that do that.
🟩 HOW TO USE
Pine Script libraries contain reusable code for importing into indicators. You do not need to copy any code out of here. Just import the library and call the function you want.
For example, for version 1 of this library, import it like this:
import SimpleCryptoLife/DrawZigZag/1
See the EXAMPLE USAGE sections within the library for examples of calling the functions.
For more information on libraries and incorporating them into your scripts, see the Libraries section of the Pine Script User Manual.
🟩 WHAT IT DOES
I looked at every zigzag library on TradingView, after finishing this one. They all seemed to fall into two groups in terms of functionality:
• Create the pivots themselves, using a combination of Williams-style pivots and sometimes price distance.
• Require an array of pivot information, often in a format that uses user-defined types.
My library takes a completely different approach.
Firstly, it only does the drawing. It doesn't calculate the pivots for you. This isn't laziness. There are so many ways to define pivots and that should be up to you. If you've followed my work on market structure you know what I think of Williams pivots.
Secondly, when you pass information about your pivots to the library function, you only need the minimum of pivot information -- whether it's a High or Low pivot, the price, and the bar index. Pass these as normal variables -- bools, ints, and floats -- on the fly as your pivots confirm. It is completely agnostic as to how you derive your pivots. If they are confirmed an arbitrary number of bars after they happen, that's fine.
So why even bother using it if all it does it draw some lines?
Turns out there is quite some logic needed in order to connect highs and lows in the right way, and to handle edge cases. This is the kind of thing one can happily outsource.
🟩 THE RULES
• Zigs and zags must alternate between Highs and Lows. We never connect a High to a High or a Low to a Low.
• If a candle has both a High and Low pivot confirmed on it, the first line is drawn to the end of the candle that is the opposite to the previous pivot. Then the next line goes vertically through the candle to the other end, and then after that continues normally.
• If we draw a line up from a Low to a High pivot, and another High pivot comes in higher, we *extend* the line up, and the same for lines down. Yes this is a form of repainting. It is in my opinion the only way to end up with a correct structure.
• We ignore lower highs on the way up and higher lows on the way down.
🟩 WHAT'S COOL ABOUT THIS LIBRARY
• It's simple and lightweight: no exported user-defined types, no helper methods, no matrices.
• It's really fast. In my profiling it runs at about ~50ms, and changing the options (e.g., trimming the array) doesn't make very much difference.
• You only need to call one function, which does all the calculations and draws all lines.
• There are two variations of this function though -- one simple function that just draws lines, and one slightly more advanced method that modifies an array containing the lines. If you don't know which one you want, use the simpler one.
🟩 GEEK STUFF
• There are no dependencies on other libraries.
• I tried to make the logic as clear as I could and comment it appropriately.
• In the `f_drawZigZags` function, the line variable is declared using the `var` keyword *inside* the function, for simplicity. For this reason, it persists between function calls *only* if the function is called from the global scope or a local if block. In general, if a function is called from inside a loop , or multiple times from different contexts, persistent variables inside that function are re-initialised on each call. In this case, this re-initialisation would mean that the function loses track of the previous line, resulting in incorrect drawings. This is why you cannot call the `f_drawZigZags` function from a loop (not that there's any reason to). The `m_drawZigZagsArray` does not use any internal `var` variables.
• The function itself takes a Boolean parameter `_showZigZag`, which turns the drawings on and off, so there is no need to call the function conditionally. In the examples, we do call the functions from an if block, purely as an illustration of how to increase performance by restricting the amount of code that needs to be run.
🟩 BRING ON THE FUNCTIONS
f_drawZigZags(_showZigZag, _isHighPivot, _isLowPivot, _highPivotPrice, _lowPivotPrice, _pivotIndex, _zigzagWidth, _lineStyle, _upZigColour, _downZagColour)
This function creates or extends the latest zigzag line. Takes real-time information about pivots and draws lines. It does not calculate the pivots. It must be called once per script and cannot be called from a loop.
Parameters:
_showZigZag (bool) : Whether to show the zigzag lines.
_isHighPivot (bool) : Whether the current bar confirms a high pivot. Note that pivots are confirmed after the bar in which they occur.
_isLowPivot (bool) : Whether the current bar confirms a low pivot.
_highPivotPrice (float) : The price of the high pivot that was confirmed this bar. It is NOT the high price of the current bar.
_lowPivotPrice (float) : The price of the low pivot that was confirmed this bar. It is NOT the low price of the current bar.
_pivotIndex (int) : The bar index of the pivot that was confirmed this bar. This is not an offset. It's the `bar_index` value of the pivot.
_zigzagWidth (int) : The width of the zigzag lines.
_lineStyle (string) : The style of the zigzag lines.
_upZigColour (color) : The colour of the up zigzag lines.
_downZagColour (color) : The colour of the down zigzag lines.
Returns: The function has no explicit returns. As a side effect, it draws or updates zigzag lines.
method m_drawZigZagsArray(_a_zigZagLines, _showZigZag, _isHighPivot, _isLowPivot, _highPivotPrice, _lowPivotPrice, _pivotIndex, _zigzagWidth, _lineStyle, _upZigColour, _downZagColour, _trimArray)
Namespace types: array
Parameters:
_a_zigZagLines (array)
_showZigZag (bool) : Whether to show the zigzag lines.
_isHighPivot (bool) : Whether the current bar confirms a high pivot. Note that pivots are usually confirmed after the bar in which they occur.
_isLowPivot (bool) : Whether the current bar confirms a low pivot.
_highPivotPrice (float) : The price of the high pivot that was confirmed this bar. It is NOT the high price of the current bar.
_lowPivotPrice (float) : The price of the low pivot that was confirmed this bar. It is NOT the low price of the current bar.
_pivotIndex (int) : The bar index of the pivot that was confirmed this bar. This is not an offset. It's the `bar_index` value of the pivot.
_zigzagWidth (int) : The width of the zigzag lines.
_lineStyle (string) : The style of the zigzag lines.
_upZigColour (color) : The colour of the up zigzag lines.
_downZagColour (color) : The colour of the down zigzag lines.
_trimArray (bool) : If true, the array of lines is kept to a maximum size of two lines (the line elements are not deleted). If false (the default), the array is kept to a maximum of 500 lines (the maximum number of line objects a single Pine script can display).
Returns: This function has no explicit returns but it modifies a global array of zigzag lines.
Bilateral Filter For Loop [BackQuant]Bilateral Filter For Loop
The Bilateral Filter For Loop is an advanced technical indicator designed to filter out market noise and smooth out price data, thus improving the identification of underlying market trends. It employs a bilateral filter, which is a sophisticated non-linear filter commonly used in image processing and price time series analysis. By considering both spatial and range differences between price points, this filter is highly effective at preserving significant trends while reducing random fluctuations, ultimately making it suitable for dynamic trend-following strategies.
Please take the time to read the following:
Key Features
1. Bilateral Filter Calculation:
The bilateral filter is the core of this indicator and works by applying a weight to each data point based on two factors: spatial distance and price range difference. This dual weighting process allows the filter to preserve important price movements while reducing the impact of less relevant fluctuations. The filter uses two primary parameters:
Spatial Sigma (σ_d): This parameter adjusts the weight applied based on the distance of each price point from the current price. A larger spatial sigma means more smoothing, as further away values will contribute more heavily to the result.
Range Sigma (σ_r): This parameter controls how much weight is applied based on the difference in price values. Larger price differences result in smaller weights, while similar price values result in larger weights, thereby preserving the trend while filtering out noise.
The output of this filter is a smoothed version of the original price series, which eliminates short-term fluctuations, helping traders focus on longer-term trends. The bilateral filter is applied over a rolling window, adjusting the level of smoothing dynamically based on both the distance between values and their relative price movements.
2. For Loop Calculation for Trend Scoring:
A for-loop is used to calculate the trend score based on the filtered price data. The loop compares the current value to previous values within the specified window, scoring the trend as follows:
+1 for upward movement (when the filtered value is greater than the previous value).
-1 for downward movement (when the filtered value is less than the previous value).
The cumulative result of this loop gives a continuous trend score, which serves as a directional indicator for the market's momentum. By summing the scores over the window period, the loop provides an aggregate value that reflects the overall trend strength. This score helps determine whether the market is experiencing a strong uptrend, downtrend, or sideways movement.
3. Long and Short Conditions:
Once the trend score has been calculated, it is compared against predefined threshold levels:
A long signal is generated when the trend score exceeds the upper threshold, indicating that the market is in a strong uptrend.
A short signal is generated when the trend score crosses below the lower threshold, signaling a potential downtrend or trend reversal.
These conditions provide clear signals for potential entry points, and the color-coding helps traders quickly identify market direction:
Long signals are displayed in green.
Short signals are displayed in red.
These signals are designed to provide high-confidence entries for trend-following strategies, helping traders capture profitable movements in the market.
4. Trend Background and Bar Coloring:
The script offers customizable visual settings to enhance the clarity of the trend signals. Traders can choose to:
Color the bars based on the trend direction: Bars are colored green for long signals and red for short signals.
Change the background color to provide additional context: The background will be shaded green for a bullish trend and red for a bearish trend. This visual feedback helps traders to stay aligned with the prevailing market sentiment.
These features offer a quick visual reference for understanding the market's direction, making it easier for traders to identify when to enter or exit positions.
5. Threshold Lines for Visual Feedback:
Threshold lines are plotted on the chart to represent the predefined long and short levels. These lines act as clear markers for when the market reaches a critical threshold, triggering a potential buy (long) or sell (short) signal. By showing these threshold lines on the chart, traders can quickly gauge the strength of the market and assess whether the trend is strong enough to warrant action.
These thresholds can be adjusted based on the trader's preferences, allowing them to fine-tune the indicator for different market conditions or asset behaviors.
6. Customizable Parameters for Flexibility:
The indicator offers several parameters that can be adjusted to suit individual trading preferences:
Window Period (Bilateral Filter): The window size determines how many past price values are used to calculate the bilateral filter. A larger window increases smoothing, while a smaller window results in more responsive, but noisier, data.
Spatial Sigma (σ_d) and Range Sigma (σ_r): These values control how sensitive the filter is to price changes and the distance between data points. Fine-tuning these parameters allows traders to adjust the degree of noise reduction applied to the price series.
Threshold Levels: The upper and lower thresholds determine when the trend score crosses into long or short territory. These levels can be customized to better match the trader's risk tolerance or asset characteristics.
Visual Settings: Traders can customize the appearance of the chart, including the line width of trend signals, bar colors, and background shading, to make the indicator more readable and aligned with their charting style.
7. Alerts for Trend Reversals:
The indicator includes alert conditions for real-time notifications when the market crosses the defined thresholds. Traders can set alerts to be notified when:
The trend score crosses the long threshold, signaling an uptrend.
The trend score crosses the short threshold, signaling a downtrend.
These alerts provide timely information, allowing traders to take immediate action when the market shows a significant change in direction.
Final Thoughts
The Bilateral Filter For Loop indicator is a robust tool for trend-following traders who wish to reduce market noise and focus on the underlying trend. By applying the bilateral filter and calculating trend scores, this indicator helps traders identify strong uptrends and downtrends, providing reliable entry signals with minimal market noise. The customizable parameters, visual feedback, and alerting system make it a versatile tool for traders seeking to improve their timing and capture profitable market movements.
Thus following all of the key points here are some sample backtests on the 1D Chart
Disclaimer: Backtests are based off past results, and are not indicative of the future.
INDEX:BTCUSD
INDEX:ETHUSD
CRYPTO:SOLUSD
ETH Day TraderThis is the new script I try creating with chatgpt. The winrate is low but the profit is higher than expected. Please help me revise and let's improve it together. BINANCE:ETHUSDT
Year/Quarter Open LevelsDeveloped by ADEL CEZAR and inspired by insights from ERDAL Y, this indicator is designed to give traders a clear edge by automatically plotting the Yearly Open and Quarterly Open levels — two of the most critical institutional reference points in price action.
These levels often act as magnets for liquidity, bias confirmation zones, and support/resistance pivots on higher timeframes. With customizable settings, you can display multiple past opens, fine-tune label positions, and align your strategy with high-timeframe structure — all in a lightweight, non-intrusive design.
If you follow Smart Money Concepts (SMC), ICT models, or build confluence using HTF structures and range theory, this script will integrate seamlessly into your workflow.
RONALD SMA BUY and SELL Indicator//@version=6
indicator('RONALD SMA BUY and SELL Indicator', overlay=true, max_labels_count=500)
// 1. Instellingen met standaardwaarden
fastLength = input.int(3, 'Fast SMA Lengte', minval=1, tooltip='Kortere periode voor snellere SMA')
slowLength = input.int(40, 'Slow SMA Lengte', minval=1, tooltip='Langere periode voor tragere SMA')
signalColor = input.color(color.yellow, 'Signaalkleur', tooltip='Kleur voor alle signalen')
// 2. SMA berekeningen
fastSMA = ta.sma(close, fastLength)
slowSMA = ta.sma(close, slowLength)
// 3. Plot SMA lijnen
plot(fastSMA, 'Fast SMA', color.new(color.blue, 0), 2)
plot(slowSMA, 'Slow SMA', color.new(color.red, 0), 2)
// 4. Signaal detectie
bullish = ta.crossover(fastSMA, slowSMA)
bearish = ta.crossunder(fastSMA, slowSMA)
// 5. Geavanceerde label positioning
yPosBuy = low - (ta.tr(true) * 0.5)
yPosSell = high + (ta.tr(true) * 0.5)
// 6. Dynamische labels met vingers
if bullish
label.new(
bar_index, yPosBuy,
text='BUY', color=signalColor,
style=label.style_label_up, textcolor=color.white,
yloc=yloc.price, size=size.normal)
if bearish
label.new(
bar_index, yPosSell,
text='SELL', color=signalColor,
style=label.style_label_down, textcolor=color.white,
yloc=yloc.price, size=size.normal)
// 7. Alternatieve plotshapes (optioneel)
plotshape(bullish, style=shape.triangleup, location=location.belowbar, color=signalColor, size=size.small)
plotshape(bearish, style=shape.triangledown, location=location.abovebar, color=signalColor, size=size.small)
useTrendFilter = input(true, "Gebruik Trendfilter")
trendLength = input(50, "Trend SMA Lengte")
trendSMA = ta.sma(close, trendLength)
Market State [wundaba]General market overview indicator
Add your own symbols
Credits to Luon MC for the idea
Trending Indicator: Price % of Pivots# Price % of Pivots Indicator
## Overview
A trend-following indicator that measures current price position relative to recent pivot highs and lows as percentages, providing normalized trend analysis across all timeframes and instruments.
## Key Features
- **Real-time trend table** with live signal updates (Strong Bullish/Bearish, Leaning Bullish/Bearish, Neutral)
- **Dual percentage tracking**: Price % of high pivot and low pivot % of current price
- **Universal compatibility** - works on any timeframe and asset class
- **Faster than some other trend indicators** - catches trend changes earlier with less lag
## Trading Signals
- **Bullish bias**: When price % of high pivot > low pivot % of price
- **Bearish bias**: When low pivot % of price > price % of high pivot
- **Customizable thresholds** (default 99%) with alert system
- **Color-coded backgrounds** for immediate visual confirmation
## Configuration
- Adjustable pivot lookback period (5-100 bars)
- Customizable left/right bars for pivot confirmation
- Threshold settings from 50-110% with 0.5% increments
- Full color customization for all elements
## Advantages
- **Speed**: More responsive than traditional ATR-based indicators
- **Clarity**: Clean percentage-based display with professional info table
- **Alerts**: Multiple conditions for automated and manual trading
- **Versatility**: Effective for day trading, swing trading, and multi-timeframe analysis
Perfect for traders seeking a fast, reliable trend indicator that works consistently across all markets and timeframes.
DWMY Opens (for aggr. charts) by Koenigsegg🟣 DWMY Opens (for Aggregated Charts) by Koenigsegg
Revolutionary compatibility with aggregated charts – This indicator represents a significant breakthrough in displaying Daily, Weekly, Monthly, and Yearly opening levels on aggregated chart types where traditional DWMY indicators have historically failed to function properly.
Complete aggregated chart support – Unlike previous Daily Weekly Monthly Yearly Opens indicators that experienced severe limitations when pulling data from non-standard chart types, this version is specifically engineered to work flawlessly with aggregated charts, range bars, Renko charts, Point & Figure charts, and all other non-time-based chart constructions.
Persistent horizontal reference lines – The indicator draws four distinct horizontal lines representing the opening prices of the current Daily, Weekly, Monthly, and Yearly periods, extending these levels forward into future bars to provide clear reference points for key support and resistance analysis.
Advanced customization capabilities – Features comprehensive user controls including custom label naming for each timeframe, adjustable line colors with independent color selection for Daily, Weekly, Monthly, and Yearly levels, configurable line width settings, and variable label font sizes ranging from tiny to huge.
Dynamic label positioning system – Implements a sophisticated label placement mechanism with configurable tick offset positioning and fixed end-bars-ahead projection, ensuring labels remain visible and properly positioned regardless of chart zoom level or timeframe.
Intelligent period detection logic – Utilizes advanced Pine Script time change detection algorithms specifically optimized for aggregated charts, accurately identifying new Daily, Weekly, Monthly, and Yearly periods even when traditional time-based functions fail on non-standard chart types.
Performance-optimized architecture – Built with efficient persistent variable storage using the var keyword, minimizing computational overhead while maintaining real-time updates across all timeframe levels simultaneously.
Professional visual presentation – Delivers clean, uncluttered chart visualization with strategically positioned labels that clearly identify each timeframe level without interfering with price action analysis.
Universal market compatibility – Functions seamlessly across all asset classes including stocks, forex, cryptocurrencies, commodities, and indices, adapting automatically to different tick sizes and price scales through syminfo.mintick integration.
Pine Script v6 foundation – Leverages the latest Pine Script version 6 capabilities, ensuring optimal performance, stability, and compatibility with current and future TradingView platform updates.
This indicator solves a critical limitation that has long plagued traders using aggregated chart types, finally enabling reliable access to essential Daily, Weekly, Monthly, and Yearly opening levels that serve as fundamental support and resistance zones in technical analysis. The breakthrough lies in its ability to maintain accurate period detection and level plotting regardless of the underlying chart construction methodology.
🟣 How It Works
Automatic period detection – The indicator continuously monitors for time changes across four distinct timeframes using ta.change(time()) functions for Daily and Weekly periods, month transitions for Monthly levels, and year changes for Yearly opens, ensuring precise identification of new period beginnings.
Real-time level updates – When a new period is detected, the indicator captures the opening price at that exact moment and immediately establishes a horizontal line from that bar extending forward to a configurable number of bars ahead, creating persistent reference levels.
Dynamic line management – Each timeframe maintains its own dedicated line object and label, with the indicator continuously updating the endpoint coordinates and label positions as new bars form, ensuring the levels always project the specified distance into the future.
Intelligent label placement – Labels are positioned at the end of each line with automatic vertical offset based on the symbol’s minimum tick size, preventing overlap with price action while maintaining clear identification of each timeframe level.
🟣 Pro Tips for Optimal Usage
Multi-timeframe confluence – Look for areas where multiple DWMY levels converge within close proximity, as these zones typically act as stronger support or resistance levels due to increased market participant attention at these psychological price points.
Breakout confirmation strategy – When price breaks above or below a significant DWMY level with strong volume, the broken level often transforms into support (if broken upward) or resistance (if broken downward), providing excellent entry and exit reference points.
Range trading opportunities – On ranging markets, use Daily and Weekly opens as potential reversal zones, especially when price approaches these levels during low-volume periods or near session opens when institutional activity increases.
Timeframe alignment technique – For swing trading, prioritize trades that align with the direction of the break from Weekly or Monthly opens, while using Daily opens for precise entry timing and position management.
Chart type optimization – This indicator excels on Renko, Range, and Point & Figure charts where traditional time-based DWMY indicators fail, making it invaluable for traders who prefer these aggregated chart types for cleaner price action analysis.
Important Disclaimer:
This indicator is provided for educational and informational purposes only. It is not financial advice, investment advice, or a recommendation to buy or sell any financial instrument. All trading involves risk, and past performance does not guarantee future results. Please conduct your own research and consult with a qualified financial advisor before making any trading decisions. The author is not responsible for any losses incurred from using this indicator.
Average True Range (50%)This script is used to calculate and display the Average True Range (ATR) scaled down to 50% of its original value. ATR is a volatility indicator that measures how much the price of an asset moves within a certain period. This script allows users to choose a smoothing method to calculate the ATR, including RMA, SMA, EMA, or WMA.
Bounce Zone📘 Bounce Zone – Indicator Description
The "Bounce Zone" indicator is a custom tool designed to highlight potential reversal zones on the chart based on volume exhaustion and price structure. It identifies sequences of candles with low volume activity and marks key price levels that could act as "bounce zones", where price is likely to react.
🔍 How It Works
Volume Analysis:
The indicator calculates a Simple Moving Average (SMA) of volume (default: 20 periods).
It looks for at least 6 consecutive candles (configurable) where the volume is below this volume SMA.
Color Consistency:
The candles must all be of the same color:
Green candles (bullish) for potential downward bounce zones.
Red candles (bearish) for potential upward bounce zones.
Zone Detection:
When a valid sequence is found:
For green candles: it draws a horizontal line at the low of the last red candle before the sequence.
For red candles: it draws a horizontal line at the high of the last green candle before the sequence.
Bounce Tracking:
Each horizontal line remains on the chart until it is touched twice by price (high or low depending on direction).
After two touches, the line is automatically removed, indicating the zone has fulfilled its purpose.
📈 Use Cases
Identify areas of price exhaustion after strong directional pushes.
Spot liquidity zones where institutions might step in.
Combine with candlestick confirmation for reversal trades.
Useful in both trending and range-bound markets for entry or exit signals.
⚙️ Parameters
min_consecutive: Minimum number of consecutive low-volume candles of the same color (default: 6).
vol_ma_len: Length of the volume moving average (default: 20).
🧠 Notes
The indicator does not repaint and is based purely on historical candle and volume structure.
Designed for manual strategy confirmation or support for algorithmic setups.
VWAP + ADX Trend FilterVWAP + ADX Trend Identifier (Intraday)”
🔹 Description:
Write a short, clear summary like:
“This script combines VWAP and ADX to help identify intraday trend trades. Buy and sell signals appear when price crosses VWAP with ADX strength above a threshold, confirming directional bias.”
You can also include:
Best suited for NIFTY / BNIFTY
Ideal timeframe: 5–15 min
For educational or personal use
🔹 Visibility:
Public: Anyone can find it on TradingView. Must follow Pine Script Publishing Rules.
Invite-only: Useful if you want to share with selected people (like clients or premium users).
Private: Only you can see and use it.
📌 Important Tips for Publishing:
Market Zone Analyzer[BullByte]Understanding the Market Zone Analyzer
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1. Purpose of the Indicator
The Market Zone Analyzer is a Pine Script™ (version 6) indicator designed to streamline market analysis on TradingView. Rather than scanning multiple separate tools, it unifies four core dimensions—trend strength, momentum, price action, and market activity—into a single, consolidated view. By doing so, it helps traders:
• Save time by avoiding manual cross-referencing of disparate signals.
• Reduce decision-making errors that can arise from juggling multiple indicators.
• Gain a clear, reliable read on whether the market is in a bullish, bearish, or sideways phase, so they can more confidently decide to enter, exit, or hold a position.
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2. Why a Trader Should Use It
• Unified View: Combines all essential market dimensions into one easy-to-read score and dashboard, eliminating the need to piece together signals manually.
• Adaptability: Automatically adjusts its internal weighting for trend, momentum, and price action based on current volatility. Whether markets are choppy or calm, the indicator remains relevant.
• Ease of Interpretation: Outputs a simple “BULLISH,” “BEARISH,” or “SIDEWAYS” label, supplemented by an intuitive on-chart dashboard and an oscillator plot that visually highlights market direction.
• Reliability Features: Built-in smoothing of the net score and hysteresis logic (requiring consecutive confirmations before flips) minimize false signals during noisy or range-bound phases.
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3. Why These Specific Indicators?
This script relies on a curated set of well-established technical tools, each chosen for its particular strength in measuring one of the four core dimensions:
1. Trend Strength:
• ADX/DMI (Average Directional Index / Directional Movement Index): Measures how strong a trend is, and whether the +DI line is above the –DI line (bullish) or vice versa (bearish).
• Moving Average Slope (Fast MA vs. Slow MA): Compares a shorter-period SMA to a longer-period SMA; if the fast MA sits above the slow MA, it confirms an uptrend, and vice versa for a downtrend.
• Ichimoku Cloud Differential (Senkou A vs. Senkou B): Provides a forward-looking view of trend direction; Senkou A above Senkou B signals bullishness, and the opposite signals bearishness.
2. Momentum:
• Relative Strength Index (RSI): Identifies overbought (above its dynamically calculated upper bound) or oversold (below its lower bound) conditions; changes in RSI often precede price reversals.
• Stochastic %K: Highlights shifts in short-term momentum by comparing closing price to the recent high/low range; values above its upper band signal bullish momentum, below its lower band signal bearish momentum.
• MACD Histogram: Measures the difference between the MACD line and its signal line; a positive histogram indicates upward momentum, a negative histogram indicates downward momentum.
3. Price Action:
• Highest High / Lowest Low (HH/LL) Range: Over a defined lookback period, this captures breakout or breakdown levels. A closing price near the recent highs (with a positive MA slope) yields a bullish score, and near the lows (with a negative MA slope) yields a bearish score.
• Heikin-Ashi Doji Detection: Uses Heikin-Ashi candles to identify indecision or continuation patterns. A small Heikin-Ashi body (doji) relative to recent volatility is scored as neutral; a larger body in the direction of the MA slope is scored bullish or bearish.
• Candle Range Measurement: Compares each candle’s high-low range against its own dynamic band (average range ± standard deviation). Large candles aligning with the prevailing trend score bullish or bearish accordingly; unusually small candles can indicate exhaustion or consolidation.
4. Market Activity:
• Bollinger Bands Width (BBW): Measures the distance between BB upper and lower bands; wide bands indicate high volatility, narrow bands indicate low volatility.
• Average True Range (ATR): Quantifies average price movement (volatility). A sudden spike in ATR suggests a volatile environment, while a contraction suggests calm.
• Keltner Channels Width (KCW): Similar to BBW but uses ATR around an EMA. Provides a second layer of volatility context, confirming or contrasting BBW readings.
• Volume (with Moving Average): Compares current volume to its moving average ± standard deviation. High volume validates strong moves; low volume signals potential lack of conviction.
By combining these tools, the indicator captures trend direction, momentum strength, price-action nuances, and overall market energy, yielding a more balanced and comprehensive assessment than any single tool alone.
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4. What Makes This Indicator Stand Out
• Multi-Dimensional Analysis: Rather than relying on a lone oscillator or moving average crossover, it simultaneously evaluates trend, momentum, price action, and activity.
• Dynamic Weighting: The relative importance of trend, momentum, and price action adjusts automatically based on real-time volatility (Market Activity State). For example, in highly volatile conditions, trend and momentum signals carry more weight; in calm markets, price action signals are prioritized.
• Stability Mechanisms:
• Smoothing: The net score is passed through a short moving average, filtering out noise, especially on lower timeframes.
• Hysteresis: Both Market Activity State and the final bullish/bearish/sideways zone require two consecutive confirmations before flipping, reducing whipsaw.
• Visual Interpretation: A fully customizable on-chart dashboard displays each sub-indicator’s value, regime, score, and comment, all color-coded. The oscillator plot changes color to reflect the current market zone (green for bullish, red for bearish, gray for sideways) and shows horizontal threshold lines at +2, 0, and –2.
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5. Recommended Timeframes
• Short-Term (5 min, 15 min): Day traders and scalpers can benefit from rapid signals, but should enable smoothing (and possibly disable hysteresis) to reduce false whipsaws.
• Medium-Term (1 h, 4 h): Swing traders find a balance between responsiveness and reliability. Less smoothing is required here, and the default parameters (e.g., ADX length = 14, RSI length = 14) perform well.
• Long-Term (Daily, Weekly): Position traders tracking major trends can disable smoothing for immediate raw readings, since higher-timeframe noise is minimal. Adjust lookback lengths (e.g., increase adxLength, rsiLength) if desired for slower signals.
Tip: If you keep smoothing off, stick to timeframes of 1 h or higher to avoid excessive signal “chatter.”
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6. How Scoring Works
A. Individual Indicator Scores
Each sub-indicator is assigned one of three discrete scores:
• +1 if it indicates a bullish condition (e.g., RSI above its dynamically calculated upper bound).
• 0 if it is neutral (e.g., RSI between upper and lower bounds).
• –1 if it indicates a bearish condition (e.g., RSI below its dynamically calculated lower bound).
Examples of individual score assignments:
• ADX/DMI:
• +1 if ADX ≥ adxThreshold and +DI > –DI (strong bullish trend)
• –1 if ADX ≥ adxThreshold and –DI > +DI (strong bearish trend)
• 0 if ADX < adxThreshold (trend strength below threshold)
• RSI:
• +1 if RSI > RSI_upperBound
• –1 if RSI < RSI_lowerBound
• 0 otherwise
• ATR (as part of Market Activity):
• +1 if ATR > (ATR_MA + stdev(ATR))
• –1 if ATR < (ATR_MA – stdev(ATR))
• 0 otherwise
Each of the four main categories shares this same +1/0/–1 logic across their sub-components.
B. Category Scores
Once each sub-indicator reports +1, 0, or –1, these are summed within their categories as follows:
• Trend Score = (ADX score) + (MA slope score) + (Ichimoku differential score)
• Momentum Score = (RSI score) + (Stochastic %K score) + (MACD histogram score)
• Price Action Score = (Highest-High/Lowest-Low score) + (Heikin-Ashi doji score) + (Candle range score)
• Market Activity Raw Score = (BBW score) + (ATR score) + (KC width score) + (Volume score)
Each category’s summed value can range between –3 and +3 (for Trend, Momentum, and Price Action), and between –4 and +4 for Market Activity raw.
C. Market Activity State and Dynamic Weight Adjustments
Rather than contributing directly to the netScore like the other three categories, Market Activity determines how much weight to assign to Trend, Momentum, and Price Action:
1. Compute Market Activity Raw Score by summing BBW, ATR, KCW, and Volume individual scores (each +1/0/–1).
2. Bucket into High, Medium, or Low Activity:
• High if raw Score ≥ 2 (volatile market).
• Low if raw Score ≤ –2 (calm market).
• Medium otherwise.
3. Apply Hysteresis (if enabled): The state only flips after two consecutive bars register the same high/low/medium label.
4. Set Category Weights:
• High Activity: Trend = 50 %, Momentum = 35 %, Price Action = 15 %.
• Low Activity: Trend = 25 %, Momentum = 20 %, Price Action = 55 %.
• Medium Activity: Use the trader’s base weight inputs (e.g., Trend = 40 %, Momentum = 30 %, Price Action = 30 % by default).
D. Calculating the Net Score
5. Normalize Base Weights (so that the sum of Trend + Momentum + Price Action always equals 100 %).
6. Determine Current Weights based on the Market Activity State (High/Medium/Low).
7. Compute Each Category’s Contribution: Multiply (categoryScore) × (currentWeight).
8. Sum Contributions to get the raw netScore (a floating-point value that can exceed ±3 when scores are strong).
9. Smooth the netScore over two bars (if smoothing is enabled) to reduce noise.
10. Apply Hysteresis to the Final Zone:
• If the smoothed netScore ≥ +2, the bar is classified as “Bullish.”
• If the smoothed netScore ≤ –2, the bar is classified as “Bearish.”
• Otherwise, it is “Sideways.”
• To prevent rapid flips, the script requires two consecutive bars in the new zone before officially changing the displayed zone (if hysteresis is on).
E. Thresholds for Zone Classification
• BULLISH: netScore ≥ +2
• BEARISH: netScore ≤ –2
• SIDEWAYS: –2 < netScore < +2
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7. Role of Volatility (Market Activity State) in Scoring
Volatility acts as a dynamic switch that shifts which category carries the most influence:
1. High Activity (Volatile):
• Detected when at least two sub-scores out of BBW, ATR, KCW, and Volume equal +1.
• The script sets Trend weight = 50 % and Momentum weight = 35 %. Price Action weight is minimized at 15 %.
• Rationale: In volatile markets, strong trending moves and momentum surges dominate, so those signals are more reliable than nuanced candle patterns.
2. Low Activity (Calm):
• Detected when at least two sub-scores out of BBW, ATR, KCW, and Volume equal –1.
• The script sets Price Action weight = 55 %, Trend = 25 %, and Momentum = 20 %.
• Rationale: In quiet, sideways markets, subtle price-action signals (breakouts, doji patterns, small-range candles) are often the best early indicators of a new move.
3. Medium Activity (Balanced):
• Raw Score between –1 and +1 from the four volatility metrics.
• Uses whatever base weights the trader has specified (e.g., Trend = 40 %, Momentum = 30 %, Price Action = 30 %).
Because volatility can fluctuate rapidly, the script employs hysteresis on Market Activity State: a new High or Low state must occur on two consecutive bars before weights actually shift. This avoids constant back-and-forth weight changes and provides more stability.
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8. Scoring Example (Hypothetical Scenario)
• Symbol: Bitcoin on a 1-hour chart.
• Market Activity: Raw volatility sub-scores show BBW (+1), ATR (+1), KCW (0), Volume (+1) → Total raw Score = +3 → High Activity.
• Weights Selected: Trend = 50 %, Momentum = 35 %, Price Action = 15 %.
• Trend Signals:
• ADX strong and +DI > –DI → +1
• Fast MA above Slow MA → +1
• Ichimoku Senkou A > Senkou B → +1
→ Trend Score = +3
• Momentum Signals:
• RSI above upper bound → +1
• MACD histogram positive → +1
• Stochastic %K within neutral zone → 0
→ Momentum Score = +2
• Price Action Signals:
• Highest High/Lowest Low check yields 0 (close not near extremes)
• Heikin-Ashi doji reading is neutral → 0
• Candle range slightly above upper bound but trend is strong, so → +1
→ Price Action Score = +1
• Compute Net Score (before smoothing):
• Trend contribution = 3 × 0.50 = 1.50
• Momentum contribution = 2 × 0.35 = 0.70
• Price Action contribution = 1 × 0.15 = 0.15
• Raw netScore = 1.50 + 0.70 + 0.15 = 2.35
• Since 2.35 ≥ +2 and hysteresis is met, the final zone is “Bullish.”
Although the netScore lands at 2.35 (Bullish), smoothing might bring it slightly below 2.00 on the first bar (e.g., 1.90), in which case the script would wait for a second consecutive reading above +2 before officially classifying the zone as Bullish (if hysteresis is enabled).
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9. Correlation Between Categories
The four categories—Trend Strength, Momentum, Price Action, and Market Activity—often reinforce or offset one another. The script takes advantage of these natural correlations:
• Bullish Alignment: If ADX is strong and pointed upward, fast MA is above slow MA, and Ichimoku is positive, that usually coincides with RSI climbing above its upper bound and the MACD histogram turning positive. In such cases, both Trend and Momentum categories generate +1 or +2. Because the Market Activity State is likely High (given the accompanying volatility), Trend and Momentum weights are at their peak, so the netScore quickly crosses into Bullish territory.
• Sideways/Consolidation: During a low-volatility, sideways phase, ADX may fall below its threshold, MAs may flatten, and RSI might hover in the neutral band. However, subtle price-action signals (like a small breakout candle or a Heikin-Ashi candle with a slight bias) can still produce a +1 in the Price Action category. If Market Activity is Low, Price Action’s weight (55 %) can carry enough influence—even if Trend and Momentum are neutral—to push the netScore out of “Sideways” into a mild bullish or bearish bias.
• Opposing Signals: When Trend is bullish but Momentum turns negative (for example, price continues up but RSI rolls over), the two scores can partially cancel. Market Activity may remain Medium, in which case the netScore lingers near zero (Sideways). The trader can then wait for either a clearer momentum shift or a fresh price-action breakout before committing.
By dynamically recognizing these correlations and adjusting weights, the indicator ensures that:
• When Trend and Momentum align (and volatility supports it), the netScore leaps strongly into Bullish or Bearish.
• When Trend is neutral but Price Action shows an early move in a low-volatility environment, Price Action’s extra weight in the Low Activity State can still produce actionable signals.
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10. Market Activity State & Its Role (Detailed)
The Market Activity State is not a direct category score—it is an overarching context setter for how heavily to trust Trend, Momentum, or Price Action. Here’s how it is derived and applied:
1. Calculate Four Volatility Sub-Scores:
• BBW: Compare the current band width to its own moving average ± standard deviation. If BBW > (BBW_MA + stdev), assign +1 (high volatility); if BBW < (BBW_MA × 0.5), assign –1 (low volatility); else 0.
• ATR: Compare ATR to its moving average ± standard deviation. A spike above the upper threshold is +1; a contraction below the lower threshold is –1; otherwise 0.
• KCW: Same logic as ATR but around the KCW mean.
• Volume: Compare current volume to its volume MA ± standard deviation. Above the upper threshold is +1; below the lower threshold is –1; else 0.
2. Sum Sub-Scores → Raw Market Activity Score: Range between –4 and +4.
3. Assign Market Activity State:
• High Activity: Raw Score ≥ +2 (at least two volatility metrics are strongly spiking).
• Low Activity: Raw Score ≤ –2 (at least two metrics signal unusually low volatility or thin volume).
• Medium Activity: Raw Score is between –1 and +1 inclusive.
4. Hysteresis for Stability:
• If hysteresis is enabled, a new state only takes hold after two consecutive bars confirm the same High, Medium, or Low label.
• This prevents the Market Activity State from bouncing around when volatility is on the fence.
5. Set Category Weights Based on Activity State:
• High Activity: Trend = 50 %, Momentum = 35 %, Price Action = 15 %.
• Low Activity: Trend = 25 %, Momentum = 20 %, Price Action = 55 %.
• Medium Activity: Use trader’s base weights (e.g., Trend = 40 %, Momentum = 30 %, Price Action = 30 %).
6. Impact on netScore: Because category scores (–3 to +3) multiply by these weights, High Activity amplifies the effect of strong Trend and Momentum scores; Low Activity amplifies the effect of Price Action.
7. Market Context Tooltip: The dashboard includes a tooltip summarizing the current state—e.g., “High activity, trend and momentum prioritized,” “Low activity, price action prioritized,” or “Balanced market, all categories considered.”
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11. Category Weights: Base vs. Dynamic
Traders begin by specifying base weights for Trend Strength, Momentum, and Price Action that sum to 100 %. These apply only when volatility is in the Medium band. Once volatility shifts:
• High Volatility Overrides:
• Trend jumps from its base (e.g., 40 %) to 50 %.
• Momentum jumps from its base (e.g., 30 %) to 35 %.
• Price Action is reduced to 15 %.
Example: If base weights were Trend = 40 %, Momentum = 30 %, Price Action = 30 %, then in High Activity they become 50/35/15. A Trend score of +3 now contributes 3 × 0.50 = +1.50 to netScore; a Momentum +2 contributes 2 × 0.35 = +0.70. In total, Trend + Momentum can easily push netScore above the +2 threshold on its own.
• Low Volatility Overrides:
• Price Action leaps from its base (30 %) to 55 %.
• Trend falls to 25 %, Momentum falls to 20 %.
Why? When markets are quiet, subtle candle breakouts, doji patterns, and small-range expansions tend to foreshadow the next swing more effectively than raw trend readings. A Price Action score of +3 in this state contributes 3 × 0.55 = +1.65, which can carry the netScore toward +2—even if Trend and Momentum are neutral or only mildly positive.
Because these weight shifts happen only after two consecutive bars confirm a High or Low state (if hysteresis is on), the indicator avoids constantly flipping its emphasis during borderline volatility phases.
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12. Dominant Category Explained
Within the dashboard, a label such as “Trend Dominant,” “Momentum Dominant,” or “Price Action Dominant” appears when one category’s absolute weighted contribution to netScore is the largest. Concretely:
• Compute each category’s weighted contribution = (raw category score) × (current weight).
• Compare the absolute values of those three contributions.
• The category with the highest absolute value is flagged as Dominant for that bar.
Why It Matters:
• Momentum Dominant: Indicates that the combined force of RSI, Stochastic, and MACD (after weighting) is pushing netScore farther than either Trend or Price Action. In practice, it means that short-term sentiment and speed of change are the primary drivers right now, so traders should watch for continued momentum signals before committing to a trade.
• Trend Dominant: Means ADX, MA slope, and Ichimoku (once weighted) outweigh the other categories. This suggests a strong directional move is in place; trend-following entries or confirming pullbacks are likely to succeed.
• Price Action Dominant: Occurs when breakout/breakdown patterns, Heikin-Ashi candle readings, and range expansions (after weighting) are the most influential. This often happens in calmer markets, where subtle shifts in candle structure can foreshadow bigger moves.
By explicitly calling out which category is carrying the most weight at any moment, the dashboard gives traders immediate insight into why the netScore is tilting toward bullish, bearish, or sideways.
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13. Oscillator Plot: How to Read It
The “Net Score” oscillator sits below the dashboard and visually displays the smoothed netScore as a line graph. Key features:
1. Value Range: In normal conditions it oscillates roughly between –3 and +3, but extreme confluences can push it outside that range.
2. Horizontal Threshold Lines:
• +2 Line (Bullish threshold)
• 0 Line (Neutral midline)
• –2 Line (Bearish threshold)
3. Zone Coloring:
• Green Background (Bullish Zone): When netScore ≥ +2.
• Red Background (Bearish Zone): When netScore ≤ –2.
• Gray Background (Sideways Zone): When –2 < netScore < +2.
4. Dynamic Line Color:
• The plotted netScore line itself is colored green in a Bullish Zone, red in a Bearish Zone, or gray in a Sideways Zone, creating an immediate visual cue.
Interpretation Tips:
• Crossing Above +2: Signals a strong enough combined trend/momentum/price-action reading to classify as Bullish. Many traders wait for a clear crossing plus a confirmation candle before entering a long position.
• Crossing Below –2: Indicates a strong Bearish signal. Traders may consider short or exit strategies.
• Rising Slope, Even Below +2: If netScore climbs steadily from neutral toward +2, it demonstrates building bullish momentum.
• Divergence: If price makes a higher high but the oscillator fails to reach a new high, it can warn of weakening momentum and a potential reversal.
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14. Comments and Their Necessity
Every sub-indicator (ADX, MA slope, Ichimoku, RSI, Stochastic, MACD, HH/LL, Heikin-Ashi, Candle Range, BBW, ATR, KCW, Volume) generates a short comment that appears in the detailed dashboard. Examples:
• “Strong bullish trend” or “Strong bearish trend” for ADX/DMI
• “Fast MA above slow MA” or “Fast MA below slow MA” for MA slope
• “RSI above dynamic threshold” or “RSI below dynamic threshold” for RSI
• “MACD histogram positive” or “MACD histogram negative” for MACD Hist
• “Price near highs” or “Price near lows” for HH/LL checks
• “Bullish Heikin Ashi” or “Bearish Heikin Ashi” for HA Doji scoring
• “Large range, trend confirmed” or “Small range, trend contradicted” for Candle Range
Additionally, the top-row comment for each category is:
• Trend: “Highly Bullish,” “Highly Bearish,” or “Neutral Trend.”
• Momentum: “Strong Momentum,” “Weak Momentum,” or “Neutral Momentum.”
• Price Action: “Bullish Action,” “Bearish Action,” or “Neutral Action.”
• Market Activity: “Volatile Market,” “Calm Market,” or “Stable Market.”
Reasons for These Comments:
• Transparency: Shows exactly how each sub-indicator contributed to its category score.
• Education: Helps traders learn why a category is labeled bullish, bearish, or neutral, building intuition over time.
• Customization: If, for example, the RSI comment says “RSI neutral” despite an impending trend shift, a trader might choose to adjust RSI length or thresholds.
In the detailed dashboard, hovering over each comment cell also reveals a tooltip with additional context (e.g., “Fast MA above slow MA” or “Senkou A above Senkou B”), helping traders understand the precise rule behind that +1, 0, or –1 assignment.
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15. Real-Life Example (Consolidated)
• Instrument & Timeframe: Bitcoin (BTCUSD), 1-hour chart.
• Current Market Activity: BBW and ATR both spike (+1 each), KCW is moderately high (+1), but volume is only neutral (0) → Raw Market Activity Score = +2 → State = High Activity (after two bars, if hysteresis is on).
• Category Weights Applied: Trend = 50 %, Momentum = 35 %, Price Action = 15 %.
• Trend Sub-Scores:
1. ADX = 25 (above threshold 20) with +DI > –DI → +1.
2. Fast MA (20-period) sits above Slow MA (50-period) → +1.
3. Ichimoku: Senkou A > Senkou B → +1.
→ Trend Score = +3.
• Momentum Sub-Scores:
4. RSI = 75 (above its moving average +1 stdev) → +1.
5. MACD histogram = +0.15 → +1.
6. Stochastic %K = 50 (mid-range) → 0.
→ Momentum Score = +2.
• Price Action Sub-Scores:
7. Price is not within 1 % of the 20-period high/low and slope = positive → 0.
8. Heikin-Ashi body is slightly larger than stdev over last 5 bars with haClose > haOpen → +1.
9. Candle range is just above its dynamic upper bound but trend is already captured, so → +1.
→ Price Action Score = +2.
• Calculate netScore (before smoothing):
• Trend contribution = 3 × 0.50 = 1.50
• Momentum contribution = 2 × 0.35 = 0.70
• Price Action contribution = 2 × 0.15 = 0.30
• Raw netScore = 1.50 + 0.70 + 0.30 = 2.50 → Immediately classified as Bullish.
• Oscillator & Dashboard Output:
• The oscillator line crosses above +2 and turns green.
• Dashboard displays:
• Trend Regime “BULLISH,” Trend Score = 3, Comment = “Highly Bullish.”
• Momentum Regime “BULLISH,” Momentum Score = 2, Comment = “Strong Momentum.”
• Price Action Regime “BULLISH,” Price Action Score = 2, Comment = “Bullish Action.”
• Market Activity State “High,” Comment = “Volatile Market.”
• Weights: Trend 50 %, Momentum 35 %, Price Action 15 %.
• Dominant Category: Trend (because 1.50 > 0.70 > 0.30).
• Overall Score: 2.50, posCount = (three +1s in Trend) + (two +1s in Momentum) + (two +1s in Price Action) = 7 bullish signals, negCount = 0.
• Final Zone = “BULLISH.”
• The trader sees that both Trend and Momentum are reinforcing each other under high volatility. They might wait one more candle for confirmation but already have strong evidence to consider a long.
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• .
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Disclaimer
This indicator is strictly a technical analysis tool and does not constitute financial advice. All trading involves risk, including potential loss of capital. Past performance is not indicative of future results. Traders should:
• Always backtest the “Market Zone Analyzer ” on their chosen symbols and timeframes before committing real capital.
• Combine this tool with sound risk management, position sizing, and, if possible, fundamental analysis.
• Understand that no indicator is foolproof; always be prepared for unexpected market moves.
Goodluck
-BullByte!
---
AD Pro//@version=5
indicator("AD Pro", overlay=true)
// === Inputs
atrLen = input.int(14, "ATR Length")
factor = input.float(0.7, "Factor")
slMultiplier = input.float(2.0, "SL Multiplier")
// Volatility Filter Input
atrFilterStrength = input.float(1.0, "Volatility Threshold (x Avg ATR)", step=0.1, minval=0.1)
// Min % Price Change Filter
enableMinMove = input.bool(true, "Enable Min % Price Change Filter")
lookbackBars = input.int(20, "Lookback Bars")
minMovePct = input.float(0.005, "Min % Price Change", step=0.001, minval=0)
// TP Buy colors
tp1BuyColor = input.color(color.lime, "TP1 Buy Color")
tp2BuyColor = input.color(color.green, "TP2 Buy Color")
tp3BuyColor = input.color(color.teal, "TP3 Buy Color")
// TP Sell colors
tp1SellColor = input.color(color.fuchsia, "TP1 Sell Color")
tp2SellColor = input.color(color.red, "TP2 Sell Color")
tp3SellColor = input.color(color.maroon, "TP3 Sell Color")
// SL colors
slBuyColor = input.color(color.blue, "SL Buy Color")
slSellColor = input.color(color.blue, "SL Sell Color")
// === Indicator Calculations
atr = ta.atr(atrLen)
avgATR = ta.sma(atr, 50)
atrCondition = atr > avgATR * atrFilterStrength
priceChange = math.abs(close - close ) / close
priceMoveOK = priceChange > minMovePct
priceChangeCondition = not enableMinMove or priceMoveOK
volatilityOK = atrCondition and priceChangeCondition
// === UT Bot Logic
src = close
var float trailPrice = na
var bool dirLong = true
longStop = src - factor * atr
shortStop = src + factor * atr
if na(trailPrice)
trailPrice := longStop
dirLong := true
else
if dirLong
trailPrice := math.max(trailPrice, longStop)
dirLong := src > trailPrice
else
trailPrice := math.min(trailPrice, shortStop)
dirLong := src > trailPrice
rawBuy = dirLong and not dirLong
rawSell = not dirLong and dirLong
// Apply Volatility Filter
buySignal = rawBuy and volatilityOK
sellSignal = rawSell and volatilityOK
// === Entry & Label Storage
var float entryPrice = na
var bool lastSignalIsBuy = na
var label tp1Lbl = na
var label tp2Lbl = na
var label tp3Lbl = na
var label slLbl = na
var line tp1Line = na
var line tp2Line = na
var line tp3Line = na
var line slLine = na
if buySignal or sellSignal
if not na(tp1Lbl)
label.delete(tp1Lbl)
if not na(tp2Lbl)
label.delete(tp2Lbl)
if not na(tp3Lbl)
label.delete(tp3Lbl)
if not na(slLbl)
label.delete(slLbl)
if not na(tp1Line)
line.delete(tp1Line)
if not na(tp2Line)
line.delete(tp2Line)
if not na(tp3Line)
line.delete(tp3Line)
if not na(slLine)
line.delete(slLine)
entryPrice := close
lastSignalIsBuy := buySignal
tp1 = entryPrice + (buySignal ? 1 : -1) * atr
tp2 = entryPrice + (buySignal ? 2 : -2) * atr
tp3 = entryPrice + (buySignal ? 3 : -3) * atr
sl = entryPrice - (buySignal ? 1 : -1) * factor * atr * slMultiplier
tp1Lbl := label.new(bar_index, tp1, "TP1 " + str.tostring(tp1, format.mintick),
style=label.style_label_right,
color=buySignal ? tp1BuyColor : tp1SellColor,
textcolor=color.black)
tp2Lbl := label.new(bar_index, tp2, "TP2 " + str.tostring(tp2, format.mintick),
style=label.style_label_right,
color=buySignal ? tp2BuyColor : tp2SellColor,
textcolor=color.white)
tp3Lbl := label.new(bar_index, tp3, "TP3 " + str.tostring(tp3, format.mintick),
style=label.style_label_right,
color=buySignal ? tp3BuyColor : tp3SellColor,
textcolor=color.white)
slLbl := label.new(bar_index, sl, "SL " + str.tostring(sl, format.mintick),
style=label.style_label_right,
color=buySignal ? slBuyColor : slSellColor,
textcolor=color.white)
tp1Line := line.new(bar_index, tp1, bar_index + 1, tp1,
color=buySignal ? tp1BuyColor : tp1SellColor, style=line.style_dashed)
tp2Line := line.new(bar_index, tp2, bar_index + 1, tp2,
color=buySignal ? tp2BuyColor : tp2SellColor, style=line.style_dashed)
tp3Line := line.new(bar_index, tp3, bar_index + 1, tp3,
color=buySignal ? tp3BuyColor : tp3SellColor, style=line.style_dashed)
slLine := line.new(bar_index, sl, bar_index + 1, sl,
color=buySignal ? slBuyColor : slSellColor, style=line.style_dashed)
// === Plot Signals
plotshape(buySignal, title="Buy", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY")
plotshape(sellSignal, title="Sell", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL")
// === Alerts
alertcondition(buySignal, title="Buy Alert", message="Buy Signal!")
alertcondition(sellSignal, title="Sell Alert", message="Sell Signal!")
