By Gadirov Best Big Candle Change Indicator for binary 1 minuteBy Gadirov Best Big Candle Change Indicator for binary 1 minute
사이클
Time Cycles (90/30/10)This indicator plots hierarchical market cycles inside the 07:00 – 11:00 session (UTC-4), tailored for intraday NASDAQ trading on the 1-minute chart.
🔹 Cycles included:
90-minute cycle (primary)
30-minute cycles nested inside the 90m
10-minute cycles nested inside the 30m
🔹 Features:
Session-based: automatically resets daily at 07:00
Strict cutoff at 11:00 (no cycles extend past session close)
Adaptive box coloring to distinguish between nested cycles
Dynamic highs and lows: cycle boxes expand as new bars print
🔹 Use cases:
Visualize intraday rhythm & price structure
Spot potential turning points within nested timeframes
Enhance trade timing with cycle alignment
Intraday Equal Peaks Levels (threshold immediate)//@version=6
indicator("Intraday Equal Peaks Levels (threshold immediate)", overlay=true, max_lines_count=500, max_labels_count=500)
// ===== INPUTS =====
leftBars = input.int(5, "Bars Left", minval=1)
rightBars = input.int(5, "Bars Right", minval=1)
marketType = input.string("Crypto", "Market Type", options= )
cryptoThresh = input.float(1.0, "Crypto Threshold %", minval=0.0, maxval=3.0, step=0.1)
stockThreshC = input.int(1, "Stocks Threshold (cents)", minval=0) // 1 -> 0.01 price units
showPanel = input.bool(true, "Show Equal Peaks Panel (top-right)")
// ===== DAY CHANGE =====
isNewDay = time("D") != time("D") // true on first bar of new calendar day
// ===== PIVOT DETECTION =====
pHigh = ta.pivothigh(high, leftBars, rightBars)
pLow = ta.pivotlow(low, leftBars, rightBars)
// ===== THRESHOLD CHECK =====
f_within_threshold(oldLevel, newLevel) =>
if marketType == "Stocks"
threshPrice = stockThreshC * 0.01
math.abs(newLevel - oldLevel) <= threshPrice
else
pct = oldLevel != 0 ? math.abs((newLevel - oldLevel) / oldLevel * 100.0) : 0.0
pct <= cryptoThresh
f_exceed_threshold(oldLevel, price) =>
if marketType == "Stocks"
threshPrice = stockThreshC * 0.01
math.abs(price - oldLevel) > threshPrice
else
pct = oldLevel != 0 ? math.abs((price - oldLevel) / oldLevel * 100.0) : 0.0
pct > cryptoThresh
// ===== STORAGE =====
var array arrLines = array.new_line()
var array arrPrices = array.new_float()
var array arrColors = array.new_color()
var array arrTypes = array.new_int() // 1 = resistance, -1 = support
// ===== HELPER: CLEAR ALL =====
f_clear_all() =>
if array.size(arrLines) > 0
for i = array.size(arrLines) - 1 to 0
ln = array.get(arrLines, i)
if not na(ln)
line.delete(ln)
array.clear(arrLines)
array.clear(arrPrices)
array.clear(arrColors)
array.clear(arrTypes)
// ===== RESET ON NEW DAY =====
if isNewDay
f_clear_all()
// ===== ADD PEAK (grouping logic) =====
f_add_peak(level, isRes) =>
grouped = false
targetType = isRes ? 1 : -1
if array.size(arrPrices) > 0
for i = 0 to array.size(arrPrices) - 1
if array.get(arrTypes, i) == targetType
oldLvl = array.get(arrPrices, i)
if f_within_threshold(oldLvl, level)
grouped := true
if array.get(arrColors, i) != color.yellow
array.set(arrColors, i, color.yellow)
lnobj = array.get(arrLines, i)
line.set_color(lnobj, color.yellow)
break
if not grouped
startBar = bar_index - rightBars
lncol = isRes ? color.red : color.green
ln = line.new(x1 = startBar, y1 = level, x2 = bar_index, y2 = level, xloc = xloc.bar_index, extend = extend.right, color = lncol, width = 2)
array.push(arrLines, ln)
array.push(arrPrices, level)
array.push(arrColors, lncol)
array.push(arrTypes, targetType)
// ===== DELETE LINES WHEN THRESHOLD EXCEEDED =====
if array.size(arrPrices) > 0
for i = array.size(arrPrices) - 1 to 0
lvl = array.get(arrPrices, i)
ln = array.get(arrLines, i)
if f_exceed_threshold(lvl, high) or f_exceed_threshold(lvl, low)
line.delete(ln)
array.remove(arrLines, i)
array.remove(arrPrices, i)
array.remove(arrColors, i)
array.remove(arrTypes, i)
// ===== HANDLE NEW PIVOTS =====
if not na(pHigh)
f_add_peak(pHigh, true)
if not na(pLow)
f_add_peak(pLow, false)
// ===== INFO PANEL (top-right) =====
var table t = table.new(position.top_right, 1, 2, border_width = 1)
if showPanel and barstate.islast
yellow_count = 0
yellow_prices = array.new_string()
if array.size(arrPrices) > 0
for i = 0 to array.size(arrPrices) - 1
if array.get(arrColors, i) == color.yellow
yellow_count += 1
lvl = array.get(arrPrices, i)
s = str.tostring(lvl, format.mintick)
array.push(yellow_prices, s)
priceTxt = "None"
if array.size(yellow_prices) > 0
joined = ""
for j = 0 to array.size(yellow_prices) - 1
part = array.get(yellow_prices, j)
joined := j == 0 ? part : joined + ", " + part
priceTxt := joined
table.cell(t, 0, 0, "Equal peaks: " + str.tostring(yellow_count), text_halign = text.align_left, text_size = size.small, bgcolor = color.new(color.black, 0), text_color = color.white)
table.cell(t, 0, 1, "Equal peaks price: " + priceTxt, text_halign = text.align_left, text_size = size.small, bgcolor = color.new(color.black, 0), text_color = color.white)
else
table.clear(t, 0, 0)
Уровни SL/TP и значение ATR первого часаSession Range SL/TP Levels with Advanced ATR
Overview
The Session Range SL/TP Levels indicator is a comprehensive tool designed for session-based trading strategies, particularly for breakouts. It identifies the high and low of a user-defined time range (e.g., the Asian session) and uses a sophisticated, customizable Average True Range (ATR) calculation to project key Stop Loss (SL) and Take Profit (TP) levels.
This indicator helps traders visualize potential entry and exit points based on the volatility of a specific trading session, with all crucial data presented in a clean on-screen table.
Key Features
Customizable Trading Session: Define any time range to establish your core trading zone. The indicator will automatically find the high and low of this period.
Advanced ATR Calculation: The indicator uses an ATR calculated on a 5-minute timeframe for higher precision. You can customize:
The ATR length and smoothing method (RMA, SMA, EMA, WMA).
A unique percentage reduction from the ATR to create a more conservative volatility buffer.
Volatility-Based SL/TP Levels: Automatically calculates and plots multiple SL and TP levels for both long and short scenarios based on user-defined multipliers of the modified ATR.
Comprehensive On-Screen Display: A detailed on-screen table provides all critical data at a glance, including:
The original 5-min ATR value.
The modified ATR after the percentage reduction.
Three custom ATR-multiple values for quick reference.
All calculated SL and TP price levels for both Long and Short setups.
Copy-Friendly Data Logging: With a single click in the settings, you can print all calculated values into the Pine Logs panel, allowing for easy copying and pasting into other applications or trading journals.
How to Use
Define Your Session: In the settings, enter the time for the trading session you want to analyze (e.g., "0200-0300" for a part of the Asian session).
Identify the Range: The indicator will draw the high and low of this session once the time period is complete.
Plan Your Trade: The calculated levels provide potential targets for breakout trades.
For a Long Trade: If the price breaks above the session high, the green Take Profit lines (TP1, TP2, TP3) serve as potential exit points, while the Stop Loss (Long) level serves as a volatility-based stop.
For a Short Trade: If the price breaks below the session low, the red Take Profit lines serve as potential targets, with the Stop Loss (Short) level as the corresponding stop.
Reference the Table: Use the on-screen table to see the exact price levels and ATR values without needing to hover over the lines.
Peak Support/Resistance Lines v1//@version=6
indicator("Peak Support/Resistance Lines", shorttitle="Peak S/R", overlay=true, max_lines_count=500)
// Input parameters
lookback = input.int(5, title="Lookback Period", minval=1, maxval=50)
show_resistance = input.bool(true, title="Show Resistance Lines")
show_support = input.bool(true, title="Show Support Lines")
resistance_color = input.color(color.red, title="Resistance Color")
support_color = input.color(color.green, title="Support Color")
// Function to check if current bar is a peak
is_peak() =>
ta.pivothigh(high, lookback, lookback)
// Function to check if current bar is a valley
is_valley() =>
ta.pivotlow(low, lookback, lookback)
// Main logic
if barstate.isconfirmed
// Check for resistance peaks
if show_resistance
peak_price = is_peak()
if not na(peak_price)
line.new(x1=bar_index - lookback, y1=peak_price, x2=bar_index + 50, y2=peak_price, color=resistance_color, width=1)
// Check for support valleys
if show_support
valley_price = is_valley()
if not na(valley_price)
line.new(x1=bar_index - lookback, y1=valley_price, x2=bar_index + 50, y2=valley_price, color=support_color, width=1)
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TRP Stop-Loss_Trailing SL# TRP Stop-Loss Indicator
## Overview
The TRP (True Range Percentage) Stop-Loss indicator is an advanced volatility-based stop-loss tool that provides dynamic position protection based on market volatility. Unlike traditional ATR-based indicators, TRP calculates volatility as a percentage of price, offering superior adaptability across different price ranges and market conditions.
## What is TRP and Why It's Superior to ATR
### TRP (True Range Percentage)
TRP calculates the true range as a percentage of the closing price, providing a **normalized volatility measure**. The formula is:
```
TRP = (True Range / Close) × 100
```
### Key Advantages of TRP over ATR:
1. **Price-Normalized Volatility**: TRP automatically adjusts for different price levels, making it equally effective whether you're trading a $10 stock or a $1000 stock.
2. **Percentage-Based Risk**: TRP gives you direct percentage risk values, making position sizing and risk management more intuitive.
3. **Better Cross-Market Comparison**: Unlike ATR, TRP allows you to compare volatility across different instruments on an equal basis.
4. **Adaptive to Market Conditions**: TRP naturally scales with price movements, providing more relevant stop-loss levels during trending markets.
5. **Consistent Risk Exposure**: Maintains consistent percentage risk regardless of the underlying asset's price level.
## Indicator Features
### 🎯 **Dual Stop-Loss System**
- **Long SL**: Red line below price for long positions
- **Short SL**: Blue line above price for short positions
- Independent control for each direction
### ⚙️ **Advanced Calculation Options**
#### **Multiple TRP Calculation Sources:**
- **Current Candle**: Uses real-time running candle data
- **Previous Close**: Uses completed candle data (default)
- **Last Green Candle**: For longs - uses TRP from the most recent bullish candle
- **Last Red Candle**: For shorts - uses TRP from the most recent bearish candle
#### **Independent Multipliers:**
- Separate multiplier controls for long and short stop-losses
- Adjust risk levels independently (0.1x to 10x+ range)
- Fine-tune stop-loss distance based on your risk tolerance
### 📊 **Visual Customization**
- **Line Styles**: Solid, dashed, or dotted lines
- **Custom Colors**: Separate color controls for long/short SL
- **Line Width**: Adjustable thickness (1-10)
- **Extension**: Customizable projection bars to the right
### 🏷️ **Smart Labeling System**
- **Value Display**: Shows exact SL price on the right side of lines
- **Toggle Control**: Enable/disable labels as needed
- **Size Options**: 5 different label sizes (tiny to huge)
- **Color Coordination**: Labels match their respective line colors
### ⏰ **Multi-Timeframe Support**
- Calculate TRP on any timeframe while viewing on another
- Default: Daily TRP calculation for intraday charts
- Maintains calculation integrity across timeframe switches
## How to Use
### Basic Setup:
1. Add the indicator to your chart
2. Select your preferred timeframe for TRP calculation
3. Choose calculation source for long and short positions
4. Adjust multipliers based on your risk tolerance
### Risk Management Applications:
- **Conservative**: Use 0.5-0.8 multipliers for tighter stops
- **Standard**: Use 1.0 multiplier for normal volatility-based stops
- **Aggressive**: Use 1.2-2.0 multipliers for wider stops in volatile markets
### Advanced Strategies:
- **Trend Following**: Use "Last Green/Red Candle" sources to adapt to momentum changes
- **Breakout Trading**: Use "Current Candle" for real-time stop adjustments
- **Swing Trading**: Use "Previous Close" for stable, confirmed levels
## Key Benefits
✅ **Dynamic Adaptation**: Automatically adjusts to changing market volatility
✅ **Percentage Risk Control**: Direct percentage-based risk management
✅ **Multi-Strategy Compatible**: Works with scalping, day trading, and swing trading
✅ **Visual Clarity**: Clean, professional chart display with customizable appearance
✅ **Real-Time Updates**: Instant recalculation when settings change
✅ **No Overlapping Lines**: Smart line management prevents chart clutter
## Best Practices
1. **Backtest First**: Test different multiplier settings on historical data
2. **Market Adaptation**: Adjust multipliers based on current market volatility regime
3. **Combine with Other Signals**: Use TRP stops with your existing entry signals
4. **Position Sizing**: Use TRP percentage values for consistent position sizing
5. **Regular Review**: Periodically review and adjust settings based on performance
## Technical Specifications
- **Pine Script Version**: v6
- **Overlay**: Yes (draws directly on price chart)
- **Calculations**: Based on 50-period EMA of TRP values
- **Updates**: Real-time with automatic line management
- **Performance**: Optimized for fast execution and minimal lag
This indicator is ideal for traders who want professional-grade, volatility-adaptive stop-loss management with the flexibility to fine-tune risk parameters across different market conditions and trading styles.
Volume weighted Forex Overwiew True Strenght IndexAdding volume weighting to the FOTSI strategy improves its effectiveness by making the indicator more sensitive to periods of high market activity. Here’s how:
Market Relevance: Futures volume reflects institutional and large trader participation. When volume is high, price moves are more likely to be meaningful and less likely to be noise.
Dynamic Weighting: By multiplying each currency’s momentum by its normalized futures volume, the indicator gives more weight to currencies that are actively traded at that moment, making signals more robust.
Filtering Out Noise: Low-volume periods are down-weighted, reducing the impact of illiquid or less relevant price changes.
Better Timing: Signals generated during high-volume periods are more likely to coincide with real market moves, improving entry and exit timing.
Double Top/Bottom Screener - Clean Today Only v5 //@version=6
indicator("Double Top/Bottom Screener - Clean Today Only", overlay=true, max_lines_count=100)
// Inputs
leftBars = input.int(5, "Left Bars", minval=3, maxval=10)
rightBars = input.int(5, "Right Bars", minval=3, maxval=10)
tolerance = input.float(0.02, "Max Difference (e.g., 0.02 for 2 cents)", step=0.01)
atrLength = input.int(14, "ATR Length for Normalized Distance", minval=1)
requiredPeaks = input.int(3, "Required Identical Peaks", minval=2, maxval=5)
// Arrays to store today's swing levels only
var array todaySwingLevels = array.new(0)
var array swingCounts = array.new(0)
var array swingLines = array.new(0)
var array isResistance = array.new(0)
var array swingBars = array.new(0)
var bool hasDoubleTop = false
var bool hasDoubleBottom = false
var float doubleTopLevel = na
var float doubleBottomLevel = na
var float nearestDoubleLevel = na
var int currentDay = na
// Detect significant swings only
swingHigh = ta.pivothigh(high, leftBars, rightBars)
swingLow = ta.pivotlow(low, leftBars, rightBars)
// Track current day
currentDay := dayofmonth
isNewDay = currentDay != currentDay
// Clear everything on new day
if barstate.isfirst or isNewDay
// Delete all existing lines
if array.size(swingLines) > 0
for i = array.size(swingLines) - 1 to 0
line.delete(array.get(swingLines, i))
// Clear all arrays
array.clear(todaySwingLevels)
array.clear(swingCounts)
array.clear(swingLines)
array.clear(isResistance)
array.clear(swingBars)
// Reset flags
hasDoubleTop := false
hasDoubleBottom := false
doubleTopLevel := na
doubleBottomLevel := na
nearestDoubleLevel := na
// Function to find matching level within today's swings only
findMatchingLevel(newLevel, isHigh) =>
matchIndex = -1
if array.size(todaySwingLevels) > 0
for i = 0 to array.size(todaySwingLevels) - 1
existingLevel = array.get(todaySwingLevels, i)
existingIsResistance = array.get(isResistance, i)
if math.abs(newLevel - existingLevel) <= tolerance and existingIsResistance == isHigh
matchIndex := i
break
matchIndex
// Process swing highs (resistance levels) - today only
if not na(swingHigh)
matchIndex = findMatchingLevel(swingHigh, true)
if matchIndex >= 0
// Found matching resistance level
newCount = array.get(swingCounts, matchIndex) + 1
array.set(swingCounts, matchIndex, newCount)
// Delete old line and create new one with appropriate color
line.delete(array.get(swingLines, matchIndex))
lineColor = newCount >= requiredPeaks ? color.yellow : color.red
// Start line from the original swing bar, not current bar
originalBar = array.get(swingBars, matchIndex)
newLine = line.new(originalBar, swingHigh, bar_index + 20, swingHigh,
color=lineColor, width=2, extend=extend.right)
array.set(swingLines, matchIndex, newLine)
// Update pattern detection
if newCount >= requiredPeaks
hasDoubleTop := true
doubleTopLevel := swingHigh
else
// New resistance level - add to today's levels
array.push(todaySwingLevels, swingHigh)
array.push(swingCounts, 1)
array.push(isResistance, true)
array.push(swingBars, bar_index)
// Create red horizontal line starting from swing bar
newLine = line.new(bar_index, swingHigh, bar_index + 20, swingHigh,
color=color.red, width=2, extend=extend.right)
array.push(swingLines, newLine)
// Process swing lows (support levels) - today only
if not na(swingLow)
matchIndex = findMatchingLevel(swingLow, false)
if matchIndex >= 0
// Found matching support level
newCount = array.get(swingCounts, matchIndex) + 1
array.set(swingCounts, matchIndex, newCount)
// Delete old line and create new one with appropriate color
line.delete(array.get(swingLines, matchIndex))
lineColor = newCount >= requiredPeaks ? color.yellow : color.green
// Start line from the original swing bar, not current bar
originalBar = array.get(swingBars, matchIndex)
newLine = line.new(originalBar, swingLow, bar_index + 20, swingLow,
color=lineColor, width=2, extend=extend.right)
array.set(swingLines, matchIndex, newLine)
// Update pattern detection
if newCount >= requiredPeaks
hasDoubleBottom := true
doubleBottomLevel := swingLow
else
// New support level - add to today's levels
array.push(todaySwingLevels, swingLow)
array.push(swingCounts, 1)
array.push(isResistance, false)
array.push(swingBars, bar_index)
// Create green horizontal line starting from swing bar
newLine = line.new(bar_index, swingLow, bar_index + 20, swingLow,
color=color.green, width=2, extend=extend.right)
array.push(swingLines, newLine)
// Remove broken levels immediately (strict enforcement)
if array.size(todaySwingLevels) > 0
for i = array.size(todaySwingLevels) - 1 to 0
level = array.get(todaySwingLevels, i)
isRes = array.get(isResistance, i)
// Check if level is broken (even slightly)
levelBroken = isRes ? close > level : close < level
if levelBroken
// Delete line and remove from arrays
line.delete(array.get(swingLines, i))
array.remove(swingLines, i)
array.remove(todaySwingLevels, i)
array.remove(swingCounts, i)
array.remove(isResistance, i)
array.remove(swingBars, i)
// Reset pattern flags if broken level was part of pattern
if level == doubleTopLevel
hasDoubleTop := false
doubleTopLevel := na
if level == doubleBottomLevel
hasDoubleBottom := false
doubleBottomLevel := na
// Calculate pattern signal
patternSignal = (hasDoubleTop or hasDoubleBottom) ? 1 : 0
// Find nearest double level (only from unbroken levels)
if patternSignal == 1
if hasDoubleTop and not na(doubleTopLevel)
nearestDoubleLevel := doubleTopLevel
if hasDoubleBottom and not na(doubleBottomLevel)
if na(nearestDoubleLevel)
nearestDoubleLevel := doubleBottomLevel
else
nearestDoubleLevel := math.abs(close - doubleBottomLevel) < math.abs(close - nearestDoubleLevel) ? doubleBottomLevel : nearestDoubleLevel
else
nearestDoubleLevel := na
// Distance calculation
atr = ta.atr(atrLength)
distanceNormalizedATR = not na(nearestDoubleLevel) and not na(atr) and atr > 0 ? math.abs(close - nearestDoubleLevel) / atr : na
// Outputs (minimal plotting)
plot(patternSignal, title="Pattern Signal", color=patternSignal == 1 ? color.purple : na, style=plot.style_circles)
plot(nearestDoubleLevel, title="Nearest Double Level Price", color=color.orange)
plot(distanceNormalizedATR, title="Normalized Distance (ATR)", color=color.blue)
// Background highlight for pattern
bgcolor(patternSignal == 1 ? color.new(color.purple, 80) : na)
// Alert for pattern detection
if patternSignal == 1 and barstate.isconfirmed
alert("Double Pattern detected on " + syminfo.ticker + " at " + str.tostring(close), alert.freq_once_per_bar_close)
// Clean information table
if barstate.islast
var table infoTable = table.new(position.top_right, 2, 4, bgcolor=color.new(color.black, 70))
table.cell(infoTable, 0, 0, "Pattern:", bgcolor=color.new(color.gray, 50), text_color=color.white)
table.cell(infoTable, 1, 0, str.tostring(patternSignal), bgcolor=patternSignal == 1 ? color.new(color.purple, 50) : color.new(color.gray, 50), text_color=color.white)
table.cell(infoTable, 0, 1, "Level:", bgcolor=color.new(color.gray, 50), text_color=color.white)
table.cell(infoTable, 1, 1, str.tostring(nearestDoubleLevel, "#.####"), bgcolor=color.new(color.orange, 50), text_color=color.white)
table.cell(infoTable, 0, 2, "Unbroken Swings:", bgcolor=color.new(color.gray, 50), text_color=color.white)
table.cell(infoTable, 1, 2, str.tostring(array.size(todaySwingLevels)), bgcolor=color.new(color.gray, 50), text_color=color.white)
// Count double levels
doubleCount = 0
if array.size(swingCounts) > 0
for i = 0 to array.size(swingCounts) - 1
if array.get(swingCounts, i) >= requiredPeaks
doubleCount += 1
table.cell(infoTable, 0, 3, "Double Levels:", bgcolor=color.new(color.gray, 50), text_color=color.white)
table.cell(infoTable, 1, 3, str.tostring(doubleCount), bgcolor=color.new(color.yellow, 50), text_color=color.black)
Double Top/Bottom Screener - Today Only V4//@version=6
indicator("Double Top/Bottom Screener - Today Only", overlay=true, max_lines_count=500)
// Inputs
leftBars = input.int(5, "Left Bars")
rightBars = input.int(5, "Right Bars")
tolerance = input.float(0.02, "Max Difference (e.g., 0.02 for 2 cents)", step=0.01)
atrLength = input.int(14, "ATR Length for Normalized Distance", minval=1)
requiredPeaks = input.int(3, "Required Identical Peaks", minval=2, maxval=5)
// Declarations of persistent variables and arrays
var array resistanceLevels = array.new(0)
var array resistanceCounts = array.new(0)
var array supportLevels = array.new(0)
var array supportCounts = array.new(0)
var array resLines = array.new(0)
var array supLines = array.new(0)
var bool hasDoubleTop = false
var bool hasDoubleBottom = false
var float doubleTopLevel = na
var float doubleBottomLevel = na
var int todayStart = na
var float nearestDoubleLevel = na // Explicitly declared as na by default
// Step 1: Identify Swing Highs/Lows
swingHigh = ta.pivothigh(high, leftBars, rightBars)
swingLow = ta.pivotlow(low, leftBars, rightBars)
// Today's premarket start (04:00 AM ET)
todayStart := timestamp(syminfo.timezone, year, month, dayofmonth, 4, 0, 0)
// Clear arrays and delete lines on the first bar or new day
if barstate.isfirst or (dayofmonth != dayofmonth and time >= todayStart)
// Delete all existing lines only if arrays are not empty
if array.size(resLines) > 0
for i = array.size(resLines) - 1 to 0
line.delete(array.get(resLines, i))
if array.size(supLines) > 0
for i = array.size(supLines) - 1 to 0
line.delete(array.get(supLines, i))
// Clear arrays
array.clear(resistanceLevels)
array.clear(supportLevels)
array.clear(resistanceCounts)
array.clear(supportCounts)
array.clear(resLines)
array.clear(supLines)
// Reset flags and levels
hasDoubleTop := false
hasDoubleBottom := false
doubleTopLevel := na
doubleBottomLevel := na
nearestDoubleLevel := na // Ensure reset on new day
// Add new swings only if today and after premarket
if not na(swingHigh) and time >= todayStart and dayofmonth == dayofmonth
bool isEqualHigh = false
int peakIndex = -1
float prevLevel = na
if array.size(resistanceLevels) > 0
for i = 0 to array.size(resistanceLevels) - 1
prevLevel := array.get(resistanceLevels, i)
if math.abs(swingHigh - prevLevel) <= tolerance
isEqualHigh := true
peakIndex := i
break
if isEqualHigh and peakIndex >= 0
array.set(resistanceCounts, peakIndex, array.get(resistanceCounts, peakIndex) + 1)
if array.get(resistanceCounts, peakIndex) == requiredPeaks
hasDoubleTop := true
doubleTopLevel := prevLevel
else
array.push(resistanceLevels, swingHigh)
array.push(resistanceCounts, 1)
line newResLine = line.new(bar_index - rightBars, swingHigh, bar_index, swingHigh, color=color.red, width=2, extend=extend.none)
array.push(resLines, newResLine)
if not na(swingLow) and time >= todayStart and dayofmonth == dayofmonth
bool isEqualLow = false
int peakIndex = -1
float prevLevel = na
if array.size(supportLevels) > 0
for i = 0 to array.size(supportLevels) - 1
prevLevel := array.get(supportLevels, i)
if math.abs(swingLow - prevLevel) <= tolerance
isEqualLow := true
peakIndex := i
break
if isEqualLow and peakIndex >= 0
array.set(supportCounts, peakIndex, array.get(supportCounts, peakIndex) + 1)
if array.get(supportCounts, peakIndex) == requiredPeaks
hasDoubleBottom := true
doubleBottomLevel := prevLevel
else
array.push(supportLevels, swingLow)
array.push(supportCounts, 1)
line newSupLine = line.new(bar_index - rightBars, swingLow, bar_index, swingLow, color=color.green, width=2, extend=extend.none)
array.push(supLines, newSupLine)
// Monitor and remove broken levels/lines; reset pattern if the equal level breaks
if array.size(resistanceLevels) > 0
for i = array.size(resistanceLevels) - 1 to 0
float level = array.get(resistanceLevels, i)
if close > level
line.delete(array.get(resLines, i))
array.remove(resLines, i)
array.remove(resistanceLevels, i)
array.remove(resistanceCounts, i)
if level == doubleTopLevel
hasDoubleTop := false
doubleTopLevel := na
nearestDoubleLevel := na // Reset if level breaks
if array.size(supportLevels) > 0
for i = array.size(supportLevels) - 1 to 0
float level = array.get(supportLevels, i)
if close < level
line.delete(array.get(supLines, i))
array.remove(supLines, i)
array.remove(supportLevels, i)
array.remove(supportCounts, i)
if level == doubleBottomLevel
hasDoubleBottom := false
doubleBottomLevel := na
nearestDoubleLevel := na // Reset if level breaks
// Limit arrays (after removals)
if array.size(resistanceLevels) > 10
line oldLine = array.shift(resLines)
line.delete(oldLine)
array.shift(resistanceLevels)
array.shift(resistanceCounts)
if array.size(supportLevels) > 10
line oldLine = array.shift(supLines)
line.delete(oldLine)
array.shift(supportLevels)
array.shift(supportCounts)
// Pattern Signal: 1 only if the exact required number of peaks is met
patternSignal = (hasDoubleTop or hasDoubleBottom) ? 1 : 0
// New: Nearest Double Level Price - Only update if pattern is active today and on current day
if time >= todayStart and dayofmonth == dayofmonth // Restrict to today
if patternSignal == 1 // Only set if pattern is active
if hasDoubleTop and not na(doubleTopLevel)
nearestDoubleLevel := doubleTopLevel
if hasDoubleBottom and not na(doubleBottomLevel)
nearestDoubleLevel := na(nearestDoubleLevel) ? doubleBottomLevel : (math.abs(close - doubleBottomLevel) < math.abs(close - nearestDoubleLevel) ? doubleBottomLevel : nearestDoubleLevel)
else
nearestDoubleLevel := na // Reset to na if no pattern today
else
nearestDoubleLevel := na // Reset for all historical bars
// New: Distance to Nearest Level (using ATR for normalization)
var float atr = ta.atr(atrLength)
var float distanceNormalizedATR = na
if not na(nearestDoubleLevel) and not na(atr) and atr > 0
distanceNormalizedATR := math.abs(close - nearestDoubleLevel) / atr
// Outputs
plot(patternSignal, title="Pattern Signal", color=patternSignal == 1 ? color.purple : na, style=plot.style_circles)
plot(nearestDoubleLevel, title="Nearest Double Level Price", color=color.orange)
plot(distanceNormalizedATR, title="Normalized Distance (ATR)", color=color.green)
bgcolor(patternSignal == 1 ? color.new(color.purple, 80) : na)
if patternSignal == 1 and barstate.isconfirmed
alert("Double Pattern detected on " + syminfo.ticker + " at " + str.tostring(close), alert.freq_once_per_bar_close)
if barstate.islast
var table infoTable = table.new(position.top_right, 1, 3, bgcolor=color.new(color.black, 50))
table.cell(infoTable, 0, 0, "Pattern: " + str.tostring(patternSignal), bgcolor=patternSignal == 1 ? color.purple : color.gray)
table.cell(infoTable, 0, 1, "Level: " + str.tostring(nearestDoubleLevel, "#.##"), bgcolor=color.orange)
table.cell(infoTable, 0, 2, "ATR Dist: " + str.tostring(distanceNormalizedATR, "#.##"), bgcolor=color.green)
QTheoryQTheory –
This indicator is built on Quarterly Theory (developed by Daye)
🔹 Quarterly Theory
Markets often unfold in repeating quarterly cycles (Q1–Q4) across multiple timeframes — yearly, monthly, weekly, daily, 90-minute, and even micro cycles. By dividing price action into these quarters, traders can better anticipate structural shifts, accumulation/distribution phases, and liquidity runs.
🔹 Sequential SMT (SSMT)
Sequential SMT extends standard SMT (Smart Money Technique) by comparing multiple assets (such as FX majors) to identify divergences across quarters.
🔹 Features of QTheory
Automatic detection of quarterly cycles across multiple timeframes.
Visual cycle boxes & customizable dividers.
Integrated SSMT signals with divergence line visualization.
DFR (Defining Range) with Fibonacci levels.
Support for up to 5 comparison assets, with inversion options.
Auto-cycle selection for seamless multi-timeframe adaptation.
Extensive customization for colors, opacity, and signal display.
🔹 How it works
QTheory divides price data into consistent “quarters” across multiple timeframes. Within each cycle, it tracks highs, lows, and divergences, then overlays this information as boxes, dividers, and optional signals on your chart. Traders can use these visual cues to better align entries and exits with institutional market behavior patterns.
🔹 How to use it
Enable the desired cycle type (e.g., weekly, daily, 90-minute) from the settings.
Toggle boxes, dividers, and signals depending on your trading style.
Use SSMT divergences and DFR Fibs to anticipate a reversal
Compare against other assets (e.g., DXY or correlated pairs) to refine confluence.
⚠️ Disclaimer: This tool is for educational purposes only. It does not constitute financial advice. Always perform your own analysis and risk management.
Attribution: Portions of this script extend the quarter-cycle logic from TFlab’s “Quarterly Theory ICT 04”, released under the Mozilla Public License 2.0
By Gadirov BEST Reversal Strategy By Gadirov Reversal Strategy - RSI + Stoch + Bollinger (3m expiry)
30m stratDefine a time range, and the indicator will highlight it with a shaded area
This indicator lets you visualize higher timeframe levels while viewing a lower timeframe chart.
FAILED 9Define a time range, and the indicator will highlight it with a shaded area.
The indicator helps you see higher timeframe structure while trading on a lower timeframes
SMC Volatility Liquidity Prothis one’s a confluence signaler. it fires “BUY CALL” / “BUY PUT” labels only when four things line up at once: trend, volatility squeeze, a liquidity sweep, and MACD momentum. quick breakdown:
what each block does
Trend filter (context)
ema50 > ema200 ⇒ trendUp
ema50 < ema200 ⇒ trendDn
Plots both EMAs for visual context.
Volatility compression (setup)
20-period Bollinger Bands (stdev 2).
bb_squeeze is true when current band width < its 20-SMA ⇒ price is compressed (potential energy building).
Liquidity sweep (trigger)
Tracks 20-bar swing high/low.
Long sweep: high > swingHigh ⇒ price just poked above the prior 20-bar high (took buy-side liquidity).
Short sweep: low < swingLow ⇒ price just poked below the prior 20-bar low (took sell-side liquidity).
MACD momentum (confirmation)
Standard MACD(12,26,9) histogram.
Bullish: hist > 0 and rising versus previous bar.
Bearish: hist < 0 and falling.
the actual entry signals
LongEntry = trendUp AND bb_squeeze AND liquiditySweepLong AND macdBullish
→ prints a green “BUY CALL” label below the bar.
ShortEntry = trendDn AND bb_squeeze AND liquiditySweepShort AND macdBearish
→ prints a red “BUY PUT” label above the bar.
alerts & dashboard
Alerts: fires when those long/short conditions hit so you can set TradingView alerts on them.
On-chart dashboard (bottom-right):
Trend (Bullish/Bearish/Neutral)
Squeeze (Yes/No)
Liquidity (Long/Short/None)
Momentum (Bullish/Bearish/Neutral)
Current Signal (BUY CALL / BUY PUT / WAIT)
(btw the comment says “2 columns × 5 rows” but the table is actually 5 columns × 2 rows—values under each label across the row.)
what it’s trying to capture (in plain english)
Trade with the higher-timeframe bias (EMA 50 over 200).
Enter as volatility compresses (bands tight) and a sweep grabs stops beyond a 20-bar extreme.
Only pull the trigger when momentum agrees (MACD hist direction & side of zero).
caveats / tips
It’s an indicator, not a strategy—no entries/exits/backtests baked in.
Signals are strict (4 filters), so you’ll get fewer but “cleaner” prints; still not magical.
The liquidity-sweep check uses the prior bar’s 20-bar high/low ( ), so on bar close it won’t repaint; intrabar alerts may feel jumpy if you alert “on every tick.”
Consider adding:
Exit logic (e.g., ATR stop + take-profit, or opposite signal).
Minimum squeeze duration (e.g., bb_squeeze true for N bars) to avoid one-bar dips in width.
Cool-down after a signal to prevent clustering.
Session/time or volume filter if you only want liquid hours.
if you want, I can convert this into a backtestable strategy() version with ATR-based stops/targets and a few toggles, so you can see stats right away.
Moon Phases Prediction🌙 Moon Phases (with Next Event Projection)
Introduction
This indicator plots Moon Phases (New Moon and Full Moon) directly on your chart.
In addition to showing historical phases, it also calculates and projects the upcoming next moon phase using precise astronomical formulas.
Features
Marks New Moons with circles above bars.
Marks Full Moons with circles below bars.
Dynamically adjusts background color based on waxing/waning phase.
Calculates and displays the next upcoming moon event as a label positioned in the future.
Works on all timeframes (except Monthly).
How It Works
Uses astronomical approximations (Julian Day → UNIX time conversion).
Detects the last occurred New Moon or Full Moon.
Projects the next moon event by adding half a synodic month (~14.77 days).
Displays the next event label at its exact future date on the chart.
Customization
Waxing Moon color (default: Blue)
Waning Moon color (default: White)
Use Cases
Astro-finance: lunar cycles and market psychology.
Trading strategies: aligning entries/exits with cyclical behavior.
Visualization: adding an extra dimension of timing to chart analysis.
Notes
- The future moon event is displayed as a circle label on the correct date.
- If you cannot see the label, increase your chart’s right margin (Chart Settings → Scales → Right Margin).
- Calculations are approximate but astronomically accurate enough for trading or visual use.
Conclusion
This indicator is a simple yet powerful tool for traders interested in the influence of lunar cycles.
By combining historical phases with a projected next event, you can always be aware of where the market stands in the moon cycle timeline.
Double Top/Bottom Screener - Today Only v3 //@version=6
indicator("Double Top/Bottom Screener - Today Only", overlay=true, max_lines_count=500)
// Inputs
leftBars = input.int(5, "Left Bars")
rightBars = input.int(5, "Right Bars")
tolerance = input.float(0.02, "Max Difference (e.g., 0.02 for 2 cents)", step=0.01)
atrLength = input.int(14, "ATR Length for Normalized Distance", minval=1)
requiredPeaks = input.int(3, "Required Identical Peaks", minval=2, maxval=5)
// Declarations of persistent variables and arrays
var array resistanceLevels = array.new(0)
var array resistanceCounts = array.new(0)
var array supportLevels = array.new(0)
var array supportCounts = array.new(0)
var array resLines = array.new(0)
var array supLines = array.new(0)
var bool hasDoubleTop = false
var bool hasDoubleBottom = false
var float doubleTopLevel = na
var float doubleBottomLevel = na
var int todayStart = na
var float nearestDoubleLevel = na // Explicitly declared as na by default
// Step 1: Identify Swing Highs/Lows
swingHigh = ta.pivothigh(high, leftBars, rightBars)
swingLow = ta.pivotlow(low, leftBars, rightBars)
// Today's premarket start (04:00 AM ET)
todayStart := timestamp(syminfo.timezone, year, month, dayofmonth, 4, 0, 0)
// Clear arrays and delete lines on the first bar or new day
if barstate.isfirst or (dayofmonth != dayofmonth and time >= todayStart)
// Delete all existing lines only if arrays are not empty
if array.size(resLines) > 0
for i = array.size(resLines) - 1 to 0
line.delete(array.get(resLines, i))
if array.size(supLines) > 0
for i = array.size(supLines) - 1 to 0
line.delete(array.get(supLines, i))
// Clear arrays
array.clear(resistanceLevels)
array.clear(supportLevels)
array.clear(resistanceCounts)
array.clear(supportCounts)
array.clear(resLines)
array.clear(supLines)
// Reset flags and levels
hasDoubleTop := false
hasDoubleBottom := false
doubleTopLevel := na
doubleBottomLevel := na
nearestDoubleLevel := na // Ensure reset on new day
// Add new swings only if today and after premarket
if not na(swingHigh) and time >= todayStart and dayofmonth == dayofmonth
bool isEqualHigh = false
int peakIndex = -1
float prevLevel = na
if array.size(resistanceLevels) > 0
for i = 0 to array.size(resistanceLevels) - 1
prevLevel := array.get(resistanceLevels, i)
if math.abs(swingHigh - prevLevel) <= tolerance
isEqualHigh := true
peakIndex := i
break
if isEqualHigh and peakIndex >= 0
array.set(resistanceCounts, peakIndex, array.get(resistanceCounts, peakIndex) + 1)
if array.get(resistanceCounts, peakIndex) == requiredPeaks
hasDoubleTop := true
doubleTopLevel := prevLevel
else
array.push(resistanceLevels, swingHigh)
array.push(resistanceCounts, 1)
line newResLine = line.new(bar_index - rightBars, swingHigh, bar_index, swingHigh, color=color.red, width=2, extend=extend.none)
array.push(resLines, newResLine)
if not na(swingLow) and time >= todayStart and dayofmonth == dayofmonth
bool isEqualLow = false
int peakIndex = -1
float prevLevel = na
if array.size(supportLevels) > 0
for i = 0 to array.size(supportLevels) - 1
prevLevel := array.get(supportLevels, i)
if math.abs(swingLow - prevLevel) <= tolerance
isEqualLow := true
peakIndex := i
break
if isEqualLow and peakIndex >= 0
array.set(supportCounts, peakIndex, array.get(supportCounts, peakIndex) + 1)
if array.get(supportCounts, peakIndex) == requiredPeaks
hasDoubleBottom := true
doubleBottomLevel := prevLevel
else
array.push(supportLevels, swingLow)
array.push(supportCounts, 1)
line newSupLine = line.new(bar_index - rightBars, swingLow, bar_index, swingLow, color=color.green, width=2, extend=extend.none)
array.push(supLines, newSupLine)
// Monitor and remove broken levels/lines; reset pattern if the equal level breaks
if array.size(resistanceLevels) > 0
for i = array.size(resistanceLevels) - 1 to 0
float level = array.get(resistanceLevels, i)
if close > level
line.delete(array.get(resLines, i))
array.remove(resLines, i)
array.remove(resistanceLevels, i)
array.remove(resistanceCounts, i)
if level == doubleTopLevel
hasDoubleTop := false
doubleTopLevel := na
nearestDoubleLevel := na // Reset if level breaks
if array.size(supportLevels) > 0
for i = array.size(supportLevels) - 1 to 0
float level = array.get(supportLevels, i)
if close < level
line.delete(array.get(supLines, i))
array.remove(supLines, i)
array.remove(supportLevels, i)
array.remove(supportCounts, i)
if level == doubleBottomLevel
hasDoubleBottom := false
doubleBottomLevel := na
nearestDoubleLevel := na // Reset if level breaks
// Limit arrays (after removals)
if array.size(resistanceLevels) > 10
line oldLine = array.shift(resLines)
line.delete(oldLine)
array.shift(resistanceLevels)
array.shift(resistanceCounts)
if array.size(supportLevels) > 10
line oldLine = array.shift(supLines)
line.delete(oldLine)
array.shift(supportLevels)
array.shift(supportCounts)
// Pattern Signal: 1 only if the exact required number of peaks is met
patternSignal = (hasDoubleTop or hasDoubleBottom) ? 1 : 0
// New: Nearest Double Level Price - Only update if pattern is active today
if time >= todayStart and dayofmonth == dayofmonth // Restrict to today
if (hasDoubleTop and not na(doubleTopLevel)) or (hasDoubleBottom and not na(doubleBottomLevel))
if hasDoubleTop and not na(doubleTopLevel)
nearestDoubleLevel := doubleTopLevel
if hasDoubleBottom and not na(doubleBottomLevel)
nearestDoubleLevel := na(nearestDoubleLevel) ? doubleBottomLevel : (math.abs(close - doubleBottomLevel) < math.abs(close - nearestDoubleLevel) ? doubleBottomLevel : nearestDoubleLevel)
else
nearestDoubleLevel := na // Reset to na if no pattern today
else
nearestDoubleLevel := na // Reset for historical bars
// New: Distance to Nearest Level (using ATR for normalization)
var float atr = ta.atr(atrLength)
var float distanceNormalizedATR = na
if not na(nearestDoubleLevel) and not na(atr) and atr > 0
distanceNormalizedATR := math.abs(close - nearestDoubleLevel) / atr
// Outputs
plot(patternSignal, title="Pattern Signal", color=patternSignal == 1 ? color.purple : na, style=plot.style_circles)
plot(nearestDoubleLevel, title="Nearest Double Level Price", color=color.orange)
plot(distanceNormalizedATR, title="Normalized Distance (ATR)", color=color.green)
bgcolor(patternSignal == 1 ? color.new(color.purple, 80) : na)
if patternSignal == 1 and barstate.isconfirmed
alert("Double Pattern detected on " + syminfo.ticker + " at " + str.tostring(close), alert.freq_once_per_bar_close)
if barstate.islast
var table infoTable = table.new(position.top_right, 1, 3, bgcolor=color.new(color.black, 50))
table.cell(infoTable, 0, 0, "Pattern: " + str.tostring(patternSignal), bgcolor=patternSignal == 1 ? color.purple : color.gray)
table.cell(infoTable, 0, 1, "Level: " + str.tostring(nearestDoubleLevel, "#.##"), bgcolor=color.orange)
table.cell(infoTable, 0, 2, "ATR Dist: " + str.tostring(distanceNormalizedATR, "#.##"), bgcolor=color.green)
Double Top/Bottom Screener - Today Only v2 //@version=6
indicator("Double Top/Bottom Screener - Today Only", overlay=true, max_lines_count=500)
// Inputs
leftBars = input.int(5, "Left Bars")
rightBars = input.int(5, "Right Bars")
tolerance = input.float(0.02, "Max Difference (e.g., 0.02 for 2 cents)", step=0.01)
atrLength = input.int(14, "ATR Length for Normalized Distance", minval=1)
requiredPeaks = input.int(3, "Required Identical Peaks", minval=2, maxval=5)
// Declarations of persistent variables and arrays
var array resistanceLevels = array.new(0)
var array resistanceCounts = array.new(0)
var array supportLevels = array.new(0)
var array supportCounts = array.new(0)
var array resLines = array.new(0)
var array supLines = array.new(0)
var bool hasDoubleTop = false
var bool hasDoubleBottom = false
var float doubleTopLevel = na
var float doubleBottomLevel = na
var int todayStart = na
// Step 1: Identify Swing Highs/Lows
swingHigh = ta.pivothigh(high, leftBars, rightBars)
swingLow = ta.pivotlow(low, leftBars, rightBars)
// Today's premarket start (04:00 AM ET)
todayStart := timestamp(syminfo.timezone, year, month, dayofmonth, 4, 0, 0)
// Clear arrays and delete lines on the first bar or new day
if barstate.isfirst or (dayofmonth != dayofmonth and time >= todayStart)
// Delete all existing lines only if arrays are not empty
if array.size(resLines) > 0
for i = array.size(resLines) - 1 to 0
line.delete(array.get(resLines, i))
if array.size(supLines) > 0
for i = array.size(supLines) - 1 to 0
line.delete(array.get(supLines, i))
// Clear arrays
array.clear(resistanceLevels)
array.clear(supportLevels)
array.clear(resistanceCounts)
array.clear(supportCounts)
array.clear(resLines)
array.clear(supLines)
// Reset flags
hasDoubleTop := false
hasDoubleBottom := false
doubleTopLevel := na
doubleBottomLevel := na
// Add new swings only if today and after premarket
if not na(swingHigh) and time >= todayStart and dayofmonth == dayofmonth
bool isEqualHigh = false
int peakIndex = -1
float prevLevel = na
if array.size(resistanceLevels) > 0
for i = 0 to array.size(resistanceLevels) - 1
prevLevel := array.get(resistanceLevels, i)
if math.abs(swingHigh - prevLevel) <= tolerance
isEqualHigh := true
peakIndex := i
break
if isEqualHigh and peakIndex >= 0
array.set(resistanceCounts, peakIndex, array.get(resistanceCounts, peakIndex) + 1)
if array.get(resistanceCounts, peakIndex) == requiredPeaks
hasDoubleTop := true
doubleTopLevel := prevLevel
else
array.push(resistanceLevels, swingHigh)
array.push(resistanceCounts, 1)
line newResLine = line.new(bar_index - rightBars, swingHigh, bar_index, swingHigh, color=color.red, width=2, extend=extend.none)
array.push(resLines, newResLine)
if not na(swingLow) and time >= todayStart and dayofmonth == dayofmonth
bool isEqualLow = false
int peakIndex = -1
float prevLevel = na
if array.size(supportLevels) > 0
for i = 0 to array.size(supportLevels) - 1
prevLevel := array.get(supportLevels, i)
if math.abs(swingLow - prevLevel) <= tolerance
isEqualLow := true
peakIndex := i
break
if isEqualLow and peakIndex >= 0
array.set(supportCounts, peakIndex, array.get(supportCounts, peakIndex) + 1)
if array.get(supportCounts, peakIndex) == requiredPeaks
hasDoubleBottom := true
doubleBottomLevel := prevLevel
else
array.push(supportLevels, swingLow)
array.push(supportCounts, 1)
line newSupLine = line.new(bar_index - rightBars, swingLow, bar_index, swingLow, color=color.green, width=2, extend=extend.none)
array.push(supLines, newSupLine)
// Monitor and remove broken levels/lines; reset pattern if the equal level breaks
if array.size(resistanceLevels) > 0
for i = array.size(resistanceLevels) - 1 to 0
float level = array.get(resistanceLevels, i)
if close > level
line.delete(array.get(resLines, i))
array.remove(resLines, i)
array.remove(resistanceLevels, i)
array.remove(resistanceCounts, i)
if level == doubleTopLevel
hasDoubleTop := false
doubleTopLevel := na
if array.size(supportLevels) > 0
for i = array.size(supportLevels) - 1 to 0
float level = array.get(supportLevels, i)
if close < level
line.delete(array.get(supLines, i))
array.remove(supLines, i)
array.remove(supportLevels, i)
array.remove(supportCounts, i)
if level == doubleBottomLevel
hasDoubleBottom := false
doubleBottomLevel := na
// Limit arrays (after removals)
if array.size(resistanceLevels) > 10
line oldLine = array.shift(resLines)
line.delete(oldLine)
array.shift(resistanceLevels)
array.shift(resistanceCounts)
if array.size(supportLevels) > 10
line oldLine = array.shift(supLines)
line.delete(oldLine)
array.shift(supportLevels)
array.shift(supportCounts)
// Pattern Signal: 1 only if the exact required number of peaks is met
patternSignal = (hasDoubleTop or hasDoubleBottom) ? 1 : 0
// New: Nearest Double Level Price
var float nearestDoubleLevel = na
if hasDoubleTop and not na(doubleTopLevel)
nearestDoubleLevel := doubleTopLevel
if hasDoubleBottom and not na(doubleBottomLevel)
nearestDoubleLevel := na(nearestDoubleLevel) ? doubleBottomLevel : (math.abs(close - doubleBottomLevel) < math.abs(close - nearestDoubleLevel) ? doubleBottomLevel : nearestDoubleLevel)
// New: Distance to Nearest Level (using ATR for normalization)
var float atr = ta.atr(atrLength)
var float distanceNormalizedATR = na
if not na(nearestDoubleLevel) and not na(atr) and atr > 0
distanceNormalizedATR := math.abs(close - nearestDoubleLevel) / atr
// Optional Bounce Signal (for reference)
bounceSignal = 0
if array.size(resistanceLevels) > 0
for i = 0 to array.size(resistanceLevels) - 1
float level = array.get(resistanceLevels, i)
if low <= level and high >= level and close < level
bounceSignal := 1
if array.size(supportLevels) > 0
for i = 0 to array.size(supportLevels) - 1
float level = array.get(supportLevels, i)
if high >= level and low <= level and close > level
bounceSignal := 1
// Outputs
plot(patternSignal, title="Pattern Signal", color=patternSignal == 1 ? color.purple : na, style=plot.style_circles)
plot(bounceSignal, title="Bounce Signal", color=bounceSignal == 1 ? color.yellow : na, style=plot.style_circles)
plot(nearestDoubleLevel, title="Nearest Double Level Price", color=color.orange)
plot(distanceNormalizedATR, title="Normalized Distance (ATR)", color=color.green)
bgcolor(patternSignal == 1 ? color.new(color.purple, 80) : na)
if patternSignal == 1 and barstate.isconfirmed
alert("Double Pattern detected on " + syminfo.ticker + " at " + str.tostring(close), alert.freq_once_per_bar_close)
if barstate.islast
var table infoTable = table.new(position.top_right, 1, 4, bgcolor=color.new(color.black, 50))
table.cell(infoTable, 0, 0, "Pattern: " + str.tostring(patternSignal), bgcolor=patternSignal == 1 ? color.purple : color.gray)
table.cell(infoTable, 0, 1, "Bounce: " + str.tostring(bounceSignal), bgcolor=bounceSignal == 1 ? color.yellow : color.gray)
table.cell(infoTable, 0, 2, "Level: " + str.tostring(nearestDoubleLevel, "#.##"), bgcolor=color.orange)
table.cell(infoTable, 0, 3, "ATR Dist: " + str.tostring(distanceNormalizedATR, "#.##"), bgcolor=color.green)
Double Top/Bottom Screener - Today Only//@version=6
indicator("Double Top/Bottom Screener - Today Only", overlay=true, max_lines_count=500)
// Inputs
leftBars = input.int(5, "Left Bars")
rightBars = input.int(5, "Right Bars")
tolerance = input.float(0.02, "Max Difference (e.g., 0.02 for 2 cents)", step=0.01)
atrLength = input.int(14, "ATR Length for Normalized Distance", minval=1)
requiredPeaks = input.int(3, "Required Identical Peaks", minval=2, maxval=5)
// Declarations of persistent variables and arrays
var array resistanceLevels = array.new(0)
var array resistanceCounts = array.new(0)
var array supportLevels = array.new(0)
var array supportCounts = array.new(0)
var array resLines = array.new(0)
var array supLines = array.new(0)
var bool hasDoubleTop = false
var bool hasDoubleBottom = false
var float doubleTopLevel = na
var float doubleBottomLevel = na
var int todayStart = na
// Step 1: Identify Swing Highs/Lows
swingHigh = ta.pivothigh(high, leftBars, rightBars)
swingLow = ta.pivotlow(low, leftBars, rightBars)
// Today's premarket start (04:00 AM ET)
todayStart := timestamp(syminfo.timezone, year, month, dayofmonth, 4, 0, 0)
// Clear arrays and delete lines on the first bar or new day
if barstate.isfirst or (dayofmonth != dayofmonth and time >= todayStart)
// Delete all existing lines
for i = array.size(resLines) - 1 to 0
line.delete(array.get(resLines, i))
for i = array.size(supLines) - 1 to 0
line.delete(array.get(supLines, i))
// Clear arrays
array.clear(resistanceLevels)
array.clear(supportLevels)
array.clear(resistanceCounts)
array.clear(supportCounts)
array.clear(resLines)
array.clear(supLines)
// Reset flags
hasDoubleTop := false
hasDoubleBottom := false
doubleTopLevel := na
doubleBottomLevel := na
// Add new swings only if today and after premarket
if not na(swingHigh) and time >= todayStart and dayofmonth == dayofmonth
bool isEqualHigh = false
int peakIndex = -1
float prevLevel = na
if array.size(resistanceLevels) > 0
for i = 0 to array.size(resistanceLevels) - 1
prevLevel := array.get(resistanceLevels, i)
if math.abs(swingHigh - prevLevel) <= tolerance
isEqualHigh := true
peakIndex := i
break
if isEqualHigh and peakIndex >= 0
array.set(resistanceCounts, peakIndex, array.get(resistanceCounts, peakIndex) + 1)
if array.get(resistanceCounts, peakIndex) == requiredPeaks
hasDoubleTop := true
doubleTopLevel := prevLevel
else
array.push(resistanceLevels, swingHigh)
array.push(resistanceCounts, 1)
line newResLine = line.new(bar_index - rightBars, swingHigh, bar_index, swingHigh, color=color.red, width=2, extend=extend.none)
array.push(resLines, newResLine)
if not na(swingLow) and time >= todayStart and dayofmonth == dayofmonth
bool isEqualLow = false
int peakIndex = -1
float prevLevel = na
if array.size(supportLevels) > 0
for i = 0 to array.size(supportLevels) - 1
prevLevel := array.get(supportLevels, i)
if math.abs(swingLow - prevLevel) <= tolerance
isEqualLow := true
peakIndex := i
break
if isEqualLow and peakIndex >= 0
array.set(supportCounts, peakIndex, array.get(supportCounts, peakIndex) + 1)
if array.get(supportCounts, peakIndex) == requiredPeaks
hasDoubleBottom := true
doubleBottomLevel := prevLevel
else
array.push(supportLevels, swingLow)
array.push(supportCounts, 1)
line newSupLine = line.new(bar_index - rightBars, swingLow, bar_index, swingLow, color=color.green, width=2, extend=extend.none)
array.push(supLines, newSupLine)
// Monitor and remove broken levels/lines; reset pattern if the equal level breaks
if array.size(resistanceLevels) > 0
for i = array.size(resistanceLevels) - 1 to 0
float level = array.get(resistanceLevels, i)
if close > level
line.delete(array.get(resLines, i))
array.remove(resLines, i)
array.remove(resistanceLevels, i)
array.remove(resistanceCounts, i)
if level == doubleTopLevel
hasDoubleTop := false
doubleTopLevel := na
if array.size(supportLevels) > 0
for i = array.size(supportLevels) - 1 to 0
float level = array.get(supportLevels, i)
if close < level
line.delete(array.get(supLines, i))
array.remove(supLines, i)
array.remove(supportLevels, i)
array.remove(supportCounts, i)
if level == doubleBottomLevel
hasDoubleBottom := false
doubleBottomLevel := na
// Limit arrays (after removals)
if array.size(resistanceLevels) > 10
line oldLine = array.shift(resLines)
line.delete(oldLine)
array.shift(resistanceLevels)
array.shift(resistanceCounts)
if array.size(supportLevels) > 10
line oldLine = array.shift(supLines)
line.delete(oldLine)
array.shift(supportLevels)
array.shift(supportCounts)
// Pattern Signal: 1 only if the exact required number of peaks is met
patternSignal = (hasDoubleTop or hasDoubleBottom) ? 1 : 0
// New: Nearest Double Level Price
var float nearestDoubleLevel = na
if hasDoubleTop and not na(doubleTopLevel)
nearestDoubleLevel := doubleTopLevel
if hasDoubleBottom and not na(doubleBottomLevel)
nearestDoubleLevel := na(nearestDoubleLevel) ? doubleBottomLevel : (math.abs(close - doubleBottomLevel) < math.abs(close - nearestDoubleLevel) ? doubleBottomLevel : nearestDoubleLevel)
// New: Distance to Nearest Level (using ATR for normalization)
var float atr = ta.atr(atrLength)
var float distanceNormalizedATR = na
if not na(nearestDoubleLevel) and not na(atr) and atr > 0
distanceNormalizedATR := math.abs(close - nearestDoubleLevel) / atr
// Optional Bounce Signal (for reference)
bounceSignal = 0
if array.size(resistanceLevels) > 0
for i = 0 to array.size(resistanceLevels) - 1
float level = array.get(resistanceLevels, i)
if low <= level and high >= level and close < level
bounceSignal := 1
if array.size(supportLevels) > 0
for i = 0 to array.size(supportLevels) - 1
float level = array.get(supportLevels, i)
if high >= level and low <= level and close > level
bounceSignal := 1
// Outputs
plot(patternSignal, title="Pattern Signal", color=patternSignal == 1 ? color.purple : na, style=plot.style_circles)
plot(bounceSignal, title="Bounce Signal", color=bounceSignal == 1 ? color.yellow : na, style=plot.style_circles)
plot(nearestDoubleLevel, title="Nearest Double Level Price", color=color.orange)
plot(distanceNormalizedATR, title="Normalized Distance (ATR)", color=color.green)
bgcolor(patternSignal == 1 ? color.new(color.purple, 80) : na)
if patternSignal == 1 and barstate.isconfirmed
alert("Double Pattern detected on " + syminfo.ticker + " at " + str.tostring(close), alert.freq_once_per_bar_close)
if barstate.islast
var table infoTable = table.new(position.top_right, 1, 4, bgcolor=color.new(color.black, 50))
table.cell(infoTable, 0, 0, "Pattern: " + str.tostring(patternSignal), bgcolor=patternSignal == 1 ? color.purple : color.gray)
table.cell(infoTable, 0, 1, "Bounce: " + str.tostring(bounceSignal), bgcolor=bounceSignal == 1 ? color.yellow : color.gray)
table.cell(infoTable, 0, 2, "Level: " + str.tostring(nearestDoubleLevel, "#.##"), bgcolor=color.orange)
table.cell(infoTable, 0, 3, "ATR Dist: " + str.tostring(distanceNormalizedATR, "#.##"), bgcolor=color.green)