Twisted Analytics ATR Model ProThe Trend Spotter Indicator is a sophisticated technical analysis tool engineered to identify high-probability trend formations across all timeframes and asset classes. Built with proprietary algorithms, this indicator combines multiple technical methodologies to deliver clear, actionable signals for traders at all experience levels.
What Makes It Unique
Unlike basic moving average systems, the Trend Spotter employs a multi-layered approach that validates trends through:
Multi-Timeframe Analysis: Confirms signals across higher timeframes to filter false positives
Adaptive Volatility Filtering: Adjusts thresholds based on ATR to optimize for both ranging and trending markets
Momentum Confirmation: Validates trend strength using proprietary oscillators before generating signals
Dynamic Trend Strength Measurement: Real-time assessment of trend intensity and potential exhaustion
Key Features
✅ Universal Compatibility: Works seamlessly on crypto, stocks, forex, commodities, and indices
✅ No Repainting: Signals remain fixed once generated - reliable for backtesting and live trading
✅ Customizable Alerts: Set up notifications for trend reversals, breakouts, and momentum shifts
✅ Visual Clarity: Color-coded signals with adjustable display settings
✅ Smart Noise Filtering: Advanced algorithms eliminate market noise and focus on genuine trends
✅ Support/Resistance Detection: Automatically identifies key levels based on trend structure
How It Works
The indicator analyzes price action through four independent validation layers:
Trend Identification: Detects higher highs/lows (uptrend) or lower highs/lows (downtrend)
Momentum Confirmation: Ensures signals align with prevailing momentum
Volatility Analysis: Adapts to changing market conditions using ATR-based thresholds
Signal Validation: Cross-references multiple factors before generating final signals
This multi-factor approach significantly reduces false signals by requiring confirmation from multiple independent analysis methods.
Best Use Cases
Trend Following: Ride major trends from early entry to exhaustion
Breakout Trading: Catch strong momentum moves out of consolidation
Reversal Trading: Identify trend exhaustion and potential reversals
Multi-Timeframe Strategies: Confirm lower timeframe entries with higher timeframe trends
Who Should Use This
Day traders seeking reliable trend signals on intraday charts
Swing traders looking for multi-day trend opportunities
Position traders wanting to identify major trend changes
Both beginner and professional traders who value data-driven decision making
Configuration Flexibility
The indicator offers extensive customization options:
Trend Period: Adjust sensitivity from 5 to 200 bars
Signal Sensitivity: Choose Low/Medium/High based on trading style
Trend Strength Threshold: Filter weak trends (0-100 scale)
Multi-Timeframe Mode: Enable/disable higher timeframe confirmation
Visual Settings: Customize colors, signal size, and labels
Trading Strategy Examples
Trend Following: Enter on initial signal, add on pullbacks, exit on reversal
Breakout Strategy: Wait for consolidation, enter on trend signal breakout
Reversal Strategy: Identify exhaustion, enter on first opposite signal
Scalping: Use high sensitivity on 1-15 min charts for quick trades
Risk Management Note
While the Trend Spotter provides high-probability signals, no indicator guarantees profits. Always use proper risk management:
Risk only 1-2% of capital per trade
Set stop-losses based on technical levels
Combine with volume analysis and support/resistance
Backtest settings on historical data before live trading
What You Get
Professional-grade trend detection algorithm
Real-time signal generation with no lag
Comprehensive parameter customization
Visual clarity with intuitive color coding
Compatible with all TradingView account types
Ongoing updates and improvements
Technical Specifications
Calculation Method: Proprietary multi-factor analysis
Signal Type: Non-repainting trend direction and strength
Overlay: Yes - displays directly on price chart
Alerts: Fully customizable alert conditions
Timeframes: All timeframes from 1-minute to monthly
Asset Classes: Universal - works on all tradable instruments
Support
Published by Twisted Analytics - Professional trading tools built by traders, for traders.
Biến động
RSI Overbought/Oversold + Divergence Indicator (new)//@version=5
indicator('CryptoSignalScanner - RSI Overbought/Oversold + Divergence Indicator (new)',
//---------------------------------------------------------------------------------------------------------------------------------
//--- Define Colors ---------------------------------------------------------------------------------------------------------------
//---------------------------------------------------------------------------------------------------------------------------------
vWhite = #FFFFFF
vViolet = #C77DF3
vIndigo = #8A2BE2
vBlue = #009CDF
vGreen = #5EBD3E
vYellow = #FFB900
vRed = #E23838
longColor = color.green
shortColor = color.red
textColor = color.white
bullishColor = color.rgb(38,166,154,0) //Used in the display table
bearishColor = color.rgb(239,83,79,0) //Used in the display table
nomatchColor = color.silver //Used in the display table
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
//--- Functions--------------------------------------------------------------------------------------------------------------------------------------------------------
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
TF2txt(TF) =>
switch TF
"S" => "RSI 1s:"
"5S" => "RSI 5s:"
"10S" => "RSI 10s:"
"15S" => "RSI 15s:"
"30S" => "RSI 30s"
"1" => "RSI 1m:"
"3" => "RSI 3m:"
"5" => "RSI 5m:"
"15" => "RSI 15m:"
"30" => "RSI 30m"
"45" => "RSI 45m"
"60" => "RSI 1h:"
"120" => "RSI 2h:"
"180" => "RSI 3h:"
"240" => "RSI 4h:"
"480" => "RSI 8h:"
"D" => "RSI 1D:"
"1D" => "RSI 1D:"
"2D" => "RSI 2D:"
"3D" => "RSI 2D:"
"3D" => "RSI 3W:"
"W" => "RSI 1W:"
"1W" => "RSI 1W:"
"M" => "RSI 1M:"
"1M" => "RSI 1M:"
"3M" => "RSI 3M:"
"6M" => "RSI 6M:"
"12M" => "RSI 12M:"
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
//--- Show/Hide Settings ----------------------------------------------------------------------------------------------------------------------------------------------
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
rsiShowInput = input(true, title='Show RSI', group='Show/Hide Settings')
maShowInput = input(false, title='Show MA', group='Show/Hide Settings')
showRSIMAInput = input(true, title='Show RSIMA Cloud', group='Show/Hide Settings')
rsiBandShowInput = input(true, title='Show Oversold/Overbought Lines', group='Show/Hide Settings')
rsiBandExtShowInput = input(true, title='Show Oversold/Overbought Extended Lines', group='Show/Hide Settings')
rsiHighlightShowInput = input(true, title='Show Oversold/Overbought Highlight Lines', group='Show/Hide Settings')
DivergenceShowInput = input(true, title='Show RSI Divergence Labels', group='Show/Hide Settings')
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
//--- Table Settings --------------------------------------------------------------------------------------------------------------------------------------------------
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
rsiShowTable = input(true, title='Show RSI Table Information box', group="RSI Table Settings")
rsiTablePosition = input.string(title='Location', defval='middle_right', options= , group="RSI Table Settings", inline='1')
rsiTextSize = input.string(title=' Size', defval='small', options= , group="RSI Table Settings", inline='1')
rsiShowTF1 = input(true, title='Show TimeFrame1', group="RSI Table Settings", inline='tf1')
rsiTF1 = input.timeframe("15", title=" Time", group="RSI Table Settings", inline='tf1')
rsiShowTF2 = input(true, title='Show TimeFrame2', group="RSI Table Settings", inline='tf2')
rsiTF2 = input.timeframe("60", title=" Time", group="RSI Table Settings", inline='tf2')
rsiShowTF3 = input(true, title='Show TimeFrame3', group="RSI Table Settings", inline='tf3')
rsiTF3 = input.timeframe("240", title=" Time", group="RSI Table Settings", inline='tf3')
rsiShowTF4 = input(true, title='Show TimeFrame4', group="RSI Table Settings", inline='tf4')
rsiTF4 = input.timeframe("D", title=" Time", group="RSI Table Settings", inline='tf4')
rsiShowHist = input(true, title='Show RSI Historical Columns', group="RSI Table Settings", tooltip='Show the information of the 2 previous closed candles')
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
//--- RSI Input Settings ----------------------------------------------------------------------------------------------------------------------------------------------
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
rsiSourceInput = input.source(close, 'Source', group='RSI Settings')
rsiLengthInput = input.int(14, minval=1, title='RSI Length', group='RSI Settings', tooltip='Here we set the RSI lenght')
rsiColorInput = input.color(#26a69a, title="RSI Color", group='RSI Settings')
rsimaColorInput = input.color(#ef534f, title="RSIMA Color", group='RSI Settings')
rsiBandColorInput = input.color(#787B86, title="RSI Band Color", group='RSI Settings')
rsiUpperBandExtInput = input.int(title='RSI Overbought Extended Line', defval=80, minval=50, maxval=100, group='RSI Settings')
rsiUpperBandInput = input.int(title='RSI Overbought Line', defval=70, minval=50, maxval=100, group='RSI Settings')
rsiLowerBandInput = input.int(title='RSI Oversold Line', defval=30, minval=0, maxval=50, group='RSI Settings')
rsiLowerBandExtInput = input.int(title='RSI Oversold Extended Line', defval=20, minval=0, maxval=50, group='RSI Settings')
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
//--- MA Input Settings -----------------------------------------------------------------------------------------------------------------------------------------------
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
maTypeInput = input.string("EMA", title="MA Type", options= , group="MA Settings")
maLengthInput = input.int(14, title="MA Length", group="MA Settings")
maColorInput = input.color(color.yellow, title="MA Color", group='MA Settings') //#7E57C2
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
//--- Divergence Input Settings ---------------------------------------------------------------------------------------------------------------------------------------
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
lbrInput = input(title="Pivot Lookback Right", defval=2, group='RSI Divergence Settings')
lblInput = input(title="Pivot Lookback Left", defval=2, group='RSI Divergence Settings')
lbRangeMaxInput = input(title="Max of Lookback Range", defval=10, group='RSI Divergence Settings')
lbRangeMinInput = input(title="Min of Lookback Range", defval=2, group='RSI Divergence Settings')
plotBullInput = input(title="Plot Bullish", defval=true, group='RSI Divergence Settings')
plotHiddenBullInput = input(title="Plot Hidden Bullish", defval=true, group='RSI Divergence Settings')
plotBearInput = input(title="Plot Bearish", defval=true, group='RSI Divergence Settings')
plotHiddenBearInput = input(title="Plot Hidden Bearish", defval=true, group='RSI Divergence Settings')
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
//--- RSI Calculation -------------------------------------------------------------------------------------------------------------------------------------------------
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
rsi = ta.rsi(rsiSourceInput, rsiLengthInput)
rsiprevious = rsi
= request.security(syminfo.tickerid, rsiTF1, [rsi, rsi , rsi ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, rsiTF2, [rsi, rsi , rsi ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, rsiTF3, [rsi, rsi , rsi ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, rsiTF4, [rsi, rsi , rsi ], lookahead=barmerge.lookahead_on)
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
//--- MA Calculation -------------------------------------------------------------------------------------------------------------------------------------------------
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
ma(source, length, type) =>
switch type
"SMA" => ta.sma(source, length)
"Bollinger Bands" => ta.sma(source, length)
"EMA" => ta.ema(source, length)
"SMMA (RMA)" => ta.rma(source, length)
"WMA" => ta.wma(source, length)
"VWMA" => ta.vwma(source, length)
rsiMA = ma(rsi, maLengthInput, maTypeInput)
rsiMAPrevious = rsiMA
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
//--- Stoch RSI Settings + Calculation --------------------------------------------------------------------------------------------------------------------------------
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
showStochRSI = input(false, title="Show Stochastic RSI", group='Stochastic RSI Settings')
smoothK = input.int(title="Stochastic K", defval=3, minval=1, maxval=10, group='Stochastic RSI Settings')
smoothD = input.int(title="Stochastic D", defval=4, minval=1, maxval=10, group='Stochastic RSI Settings')
lengthRSI = input.int(title="Stochastic RSI Lenght", defval=14, minval=1, group='Stochastic RSI Settings')
lengthStoch = input.int(title="Stochastic Lenght", defval=14, minval=1, group='Stochastic RSI Settings')
colorK = input.color(color.rgb(41,98,255,0), title="K Color", group='Stochastic RSI Settings', inline="1")
colorD = input.color(color.rgb(205,109,0,0), title="D Color", group='Stochastic RSI Settings', inline="1")
StochRSI = ta.rsi(rsiSourceInput, lengthRSI)
k = ta.sma(ta.stoch(StochRSI, StochRSI, StochRSI, lengthStoch), smoothK) //Blue Line
d = ta.sma(k, smoothD) //Red Line
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
//--- Divergence Settings ------------------------------------------------------------------------------------------------------------------------------------------
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
bearColor = color.red
bullColor = color.green
hiddenBullColor = color.new(color.green, 50)
hiddenBearColor = color.new(color.red, 50)
//textColor = color.white
noneColor = color.new(color.white, 100)
osc = rsi
plFound = na(ta.pivotlow(osc, lblInput, lbrInput)) ? false : true
phFound = na(ta.pivothigh(osc, lblInput, lbrInput)) ? false : true
_inRange(cond) =>
bars = ta.barssince(cond == true)
lbRangeMinInput <= bars and bars <= lbRangeMaxInput
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
//--- Define Plot & Line Colors ---------------------------------------------------------------------------------------------------------------------------------------
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
rsiColor = rsi >= rsiMA ? rsiColorInput : rsimaColorInput
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
//--- Plot Lines ------------------------------------------------------------------------------------------------------------------------------------------------------
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
// Create a horizontal line at a specific price level
myLine = line.new(bar_index , 75, bar_index, 75, color = color.rgb(187, 14, 14), width = 2)
bottom = line.new(bar_index , 50, bar_index, 50, color = color.rgb(223, 226, 28), width = 2)
mymainLine = line.new(bar_index , 60, bar_index, 60, color = color.rgb(13, 154, 10), width = 3)
hline(50, title='RSI Baseline', color=color.new(rsiBandColorInput, 50), linestyle=hline.style_solid, editable=false)
hline(rsiBandExtShowInput ? rsiUpperBandExtInput : na, title='RSI Upper Band', color=color.new(rsiBandColorInput, 10), linestyle=hline.style_dashed, editable=false)
hline(rsiBandShowInput ? rsiUpperBandInput : na, title='RSI Upper Band', color=color.new(rsiBandColorInput, 10), linestyle=hline.style_dashed, editable=false)
hline(rsiBandShowInput ? rsiLowerBandInput : na, title='RSI Upper Band', color=color.new(rsiBandColorInput, 10), linestyle=hline.style_dashed, editable=false)
hline(rsiBandExtShowInput ? rsiLowerBandExtInput : na, title='RSI Upper Band', color=color.new(rsiBandColorInput, 10), linestyle=hline.style_dashed, editable=false)
bgcolor(rsiHighlightShowInput ? rsi >= rsiUpperBandExtInput ? color.new(rsiColorInput, 70) : na : na, title="Show Extended Oversold Highlight", editable=false)
bgcolor(rsiHighlightShowInput ? rsi >= rsiUpperBandInput ? rsi < rsiUpperBandExtInput ? color.new(#64ffda, 90) : na : na: na, title="Show Overbought Highlight", editable=false)
bgcolor(rsiHighlightShowInput ? rsi <= rsiLowerBandInput ? rsi > rsiLowerBandExtInput ? color.new(#F43E32, 90) : na : na : na, title="Show Extended Oversold Highlight", editable=false)
bgcolor(rsiHighlightShowInput ? rsi <= rsiLowerBandInput ? color.new(rsimaColorInput, 70) : na : na, title="Show Oversold Highlight", editable=false)
maPlot = plot(maShowInput ? rsiMA : na, title='MA', color=color.new(maColorInput,0), linewidth=1)
rsiMAPlot = plot(showRSIMAInput ? rsiMA : na, title="RSI EMA", color=color.new(rsimaColorInput,0), editable=false, display=display.none)
rsiPlot = plot(rsiShowInput ? rsi : na, title='RSI', color=color.new(rsiColor,0), linewidth=1)
fill(rsiPlot, rsiMAPlot, color=color.new(rsiColor, 60), title="RSIMA Cloud")
plot(showStochRSI ? k : na, title='Stochastic K', color=colorK, linewidth=1)
plot(showStochRSI ? d : na, title='Stochastic D', color=colorD, linewidth=1)
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
//--- Plot Divergence -------------------------------------------------------------------------------------------------------------------------------------------------
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
// Regular Bullish
// Osc: Higher Low
oscHL = osc > ta.valuewhen(plFound, osc , 1) and _inRange(plFound )
// Price: Lower Low
priceLL = low < ta.valuewhen(plFound, low , 1)
bullCond = plotBullInput and priceLL and oscHL and plFound
plot(
plFound ? osc : na,
offset=-lbrInput,
title="Regular Bullish",
linewidth=2,
color=(bullCond ? bullColor : noneColor)
)
plotshape(
DivergenceShowInput ? bullCond ? osc : na : na,
offset=-lbrInput,
title="Regular Bullish Label",
text=" Bull ",
style=shape.labelup,
location=location.absolute,
color=bullColor,
textcolor=textColor
)
//------------------------------------------------------------------------------
// Hidden Bullish
// Osc: Lower Low
oscLL = osc < ta.valuewhen(plFound, osc , 1) and _inRange(plFound )
// Price: Higher Low
priceHL = low > ta.valuewhen(plFound, low , 1)
hiddenBullCond = plotHiddenBullInput and priceHL and oscLL and plFound
plot(
plFound ? osc : na,
offset=-lbrInput,
title="Hidden Bullish",
linewidth=2,
color=(hiddenBullCond ? hiddenBullColor : noneColor)
)
plotshape(
DivergenceShowInput ? hiddenBullCond ? osc : na : na,
offset=-lbrInput,
title="Hidden Bullish Label",
text=" H Bull ",
style=shape.labelup,
location=location.absolute,
color=bullColor,
textcolor=textColor
)
//------------------------------------------------------------------------------
// Regular Bearish
// Osc: Lower High
oscLH = osc < ta.valuewhen(phFound, osc , 1) and _inRange(phFound )
// Price: Higher High
priceHH = high > ta.valuewhen(phFound, high , 1)
bearCond = plotBearInput and priceHH and oscLH and phFound
plot(
phFound ? osc : na,
offset=-lbrInput,
title="Regular Bearish",
linewidth=2,
color=(bearCond ? bearColor : noneColor)
)
plotshape(
DivergenceShowInput ? bearCond ? osc : na : na,
offset=-lbrInput,
title="Regular Bearish Label",
text=" Bear ",
style=shape.labeldown,
location=location.absolute,
color=bearColor,
textcolor=textColor
)
//------------------------------------------------------------------------------
// Hidden Bearish
// Osc: Higher High
oscHH = osc > ta.valuewhen(phFound, osc , 1) and _inRange(phFound )
// Price: Lower High
priceLH = high < ta.valuewhen(phFound, high , 1)
hiddenBearCond = plotHiddenBearInput and priceLH and oscHH and phFound
plot(
phFound ? osc : na,
offset=-lbrInput,
title="Hidden Bearish",
linewidth=2,
color=(hiddenBearCond ? hiddenBearColor : noneColor)
)
plotshape(
DivergenceShowInput ? hiddenBearCond ? osc : na : na,
offset=-lbrInput,
title="Hidden Bearish Label",
text=" H Bear ",
style=shape.labeldown,
location=location.absolute,
color=bearColor,
textcolor=textColor
)
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
//--- Check RSI Lineup ------------------------------------------------------------------------------------------------------------------------------------------------
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
bullTF = rsi > rsi and rsi > rsi
bearTF = rsi < rsi and rsi < rsi
bullTF1 = rsi1 > rsi1_1 and rsi1_1 > rsi1_2
bearTF1 = rsi1 < rsi1_1 and rsi1_1 < rsi1_2
bullTF2 = rsi2 > rsi2_1 and rsi2_1 > rsi2_2
bearTF2 = rsi2 < rsi2_1 and rsi2_1 < rsi2_2
bullTF3 = rsi3 > rsi3_1 and rsi3_1 > rsi3_2
bearTF3 = rsi3 < rsi3_1 and rsi3_1 < rsi3_2
bullTF4 = rsi4 > rsi4_1 and rsi4_1 > rsi4_2
bearTF4 = rsi4 < rsi4_1 and rsi4_1 < rsi4_2
bbTxt(bull,bear) =>
bull ? "BULLISH" : bear ? "BEARISCH" : 'NO LINEUP'
bbColor(bull,bear) =>
bull ? bullishColor : bear ? bearishColor : nomatchColor
newTC(tBox, col, row, txt, width, txtColor, bgColor, txtHA, txtSize) =>
table.cell(table_id=tBox,column=col, row=row, text=txt, width=width,text_color=txtColor,bgcolor=bgColor, text_halign=txtHA, text_size=txtSize)
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
//--- Define RSI Table Setting ----------------------------------------------------------------------------------------------------------------------------------------
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
width_c0 = 0
width_c1 = 0
if rsiShowTable
var tBox = table.new(position=rsiTablePosition, columns=5, rows=6, bgcolor=color.rgb(18,22,33,50), frame_color=color.black, frame_width=1, border_color=color.black, border_width=1)
newTC(tBox, 0,1,"RSI Current",width_c0,color.orange,color.rgb(0,0,0,100),'right',rsiTextSize)
newTC(tBox, 1,1,str.format(" {0,number,#.##} ", rsi),width_c0,vWhite,rsi < 50 ? bearishColor:bullishColor,'left',rsiTextSize)
newTC(tBox, 4,1,bbTxt(bullTF, bearTF),width_c0,vWhite,bbColor(bullTF, bearTF),'center',rsiTextSize)
if rsiShowHist
newTC(tBox, 2,1,str.format(" {0,number,#.##} ", rsi ),width_c0,vWhite,rsi < 50 ? bearishColor:bullishColor,'left',rsiTextSize)
newTC(tBox, 3,1,str.format(" {0,number,#.##} ", rsi ),width_c0,vWhite,rsi < 50 ? bearishColor:bullishColor,'left',rsiTextSize)
if rsiShowTF1
newTC(tBox, 0,2,TF2txt(rsiTF1),width_c0,vWhite,color.rgb(0,0,0,100),'right',rsiTextSize)
newTC(tBox, 1,2,str.format(" {0,number,#.##} ", rsi1),width_c0,vWhite,rsi1 < 50 ? bearishColor:bullishColor,'left',rsiTextSize)
newTC(tBox, 4,2,bbTxt(bullTF1, bearTF1),width_c0,vWhite,bbColor(bullTF1,bearTF1),'center',rsiTextSize)
if rsiShowHist
newTC(tBox, 2,2,str.format(" {0,number,#.##} ", rsi1_1),width_c0,vWhite,rsi1_1 < 50 ? bearishColor:bullishColor,'left',rsiTextSize)
newTC(tBox, 3,2,str.format(" {0,number,#.##} ", rsi1_2),width_c0,vWhite,rsi1_2 < 50 ? bearishColor:bullishColor,'left',rsiTextSize)
if rsiShowTF2
newTC(tBox, 0,3,TF2txt(rsiTF2),width_c0,vWhite,color.rgb(0,0,0,100),'right',rsiTextSize)
newTC(tBox, 1,3,str.format(" {0,number,#.##} ", rsi2),width_c0,vWhite,rsi2 < 50 ? bearishColor:bullishColor,'left',rsiTextSize)
newTC(tBox, 4,3,bbTxt(bullTF2, bearTF2),width_c0,vWhite,bbColor(bullTF2,bearTF2),'center',rsiTextSize)
if rsiShowHist
newTC(tBox, 2,3,str.format(" {0,number,#.##} ", rsi2_1),width_c0,vWhite,rsi2_1 < 50 ? bearishColor:bullishColor,'left',rsiTextSize)
newTC(tBox, 3,3,str.format(" {0,number,#.##} ", rsi2_2),width_c0,vWhite,rsi2_2 < 50 ? bearishColor:bullishColor,'left',rsiTextSize)
if rsiShowTF3
newTC(tBox, 0,4,TF2txt(rsiTF3),width_c0,vWhite,color.rgb(0,0,0,100),'right',rsiTextSize)
newTC(tBox, 1,4,str.format(" {0,number,#.##} ", rsi3),width_c0,vWhite,rsi3 < 50 ? bearishColor:bullishColor,'left',rsiTextSize)
newTC(tBox, 4,4,bbTxt(bullTF3, bearTF3),width_c0,vWhite,bbColor(bullTF3,bearTF3),'center',rsiTextSize)
if rsiShowHist
newTC(tBox, 2,4,str.format(" {0,number,#.##} ", rsi3_1),width_c0,vWhite,rsi3_1 < 50 ? bearishColor:bullishColor,'left',rsiTextSize)
newTC(tBox, 3,4,str.format(" {0,number,#.##} ", rsi3_2),width_c0,vWhite,rsi3_2 < 50 ? bearishColor:bullishColor,'left',rsiTextSize)
if rsiShowTF4
newTC(tBox, 0,5,TF2txt(rsiTF4),width_c0,vWhite,color.rgb(0,0,0,100),'right',rsiTextSize)
newTC(tBox, 1,5,str.format(" {0,number,#.##} ", rsi4),width_c0,vWhite,rsi4 < 50 ? bearishColor:bullishColor,'left',rsiTextSize)
newTC(tBox, 4,5,bbTxt(bullTF4, bearTF4),width_c0,vWhite,bbColor(bullTF4,bearTF4),'center',rsiTextSize)
if rsiShowHist
newTC(tBox, 2,5,str.format(" {0,number,#.##} ", rsi4_1),width_c0,vWhite,rsi4_1 < 50 ? bearishColor:bullishColor,'left',rsiTextSize)
newTC(tBox, 3,5,str.format(" {0,number,#.##} ", rsi4_2),width_c0,vWhite,rsi4_2 < 50 ? bearishColor:bullishColor,'left',rsiTextSize)
//------------------------------------------------------
//--- Alerts -------------------------------------------
//------------------------------------------------------
Fair Value Levels H4 — Institutional Balance ZonesDescription:
This indicator automatically plots the Fair Value (50%) of every 4-hour candle, highlighting the institutional balance zones in price.
Each level represents the midpoint between the high and low of the H4 block — a common area where price seeks equilibrium before continuing its trend.
📌 Main Features:
• Displays all historical H4 Fair Values automatically.
• Option to extend lines infinitely or only until the next H4 block.
• Real-time Fair Value line for the current H4 candle.
• Fully customizable colors, widths, and number of displayed levels.
• Works on any market (indices, forex, gold, crypto, stocks).
⚙️ Use Cases:
• Identify institutional balance points within market structure.
• Validate premium/discount areas in Smart Money Concepts (SMC).
• Confluence tool for price action and structure-based strategies.
💡 Recommended for: traders focusing on institutional concepts, market structure, or equilibrium zones.
5mn London-Newyork best entry by Profitcosmos)This indicator is engineered for scalpers and day traders who trade during the London and New York sessions — the most volatile and liquid market hours.
It automatically detects high-probability breakout structures, filters false moves using ATR-based volatility logic, and dynamically projects Entry, Stop Loss (SL), and Take Profit (TP) levels directly on the chart.
⚙️ Core Features
🧠 Smart Market Structure Detection:
Automatically identifies bullish and bearish structure shifts using swing highs/lows.
📊 ATR Volatility Filter:
Uses an adaptive ATR multiplier to confirm genuine breakouts and filter noise.
🕒 Session Filter (Optional):
Restrict signals to your chosen trading hours — ideal for London and New York overlap.
🎯 Auto Entry / SL / TP Projection:
SL: Placed below (for BUY) or above (for SELL) the two previous candle extremes.
TP: Automatically calculated at 3× the distance from Entry to SL.
Projection: Visual lines and labels extend 100 bars into the future, clearly marking your trade levels.
🔁 Alternating Signal Logic:
Prevents consecutive duplicate signals to keep the chart clean and trades logical.
📈 Visual Clarity:
Each trade setup is plotted with colored lines (Entry, SL, TP) and labels pointing left for easy visibility.
🔔 Alerts Ready:
Built-in alerts for both BUY and SELL signals to automate or notify your entries.
🪙 Why you will Love It
This tool helps identify the cleanest momentum-based entries in the 5-minute chart during high-volume hours.
It’s especially effective for XAUUSD, NAS100, and major Forex pairs, where breakout structure shifts happen fast and decisively.
🧭 Recommended Settings
Timeframe: 5 minutes
Sessions: London (3–10 AM EST) & New York (8 AM–4 PM EST)
ATR Multiplier: 1.2–1.5 (adjust for volatility)
Intraday Perpetual Premium & Z-ScoreThis indicator measures the real-time premium of a perpetual futures contract relative to its spot market and interprets it through a statistical lens.
It helps traders detect when funding pressure is building, when leverage is being unwound, and when crowding in the futures market may precede volatility.
How it works
• Premium (%) = (Perp – Spot) ÷ Spot × 100
The script fetches both spot and perpetual prices and calculates their percentage difference each minute.
• Rolling Mean & Z-Score
Over a 4-hour look-back, it computes the average premium and standard deviation to derive a Z-Score, showing how stretched current sentiment is.
• Dynamic ±2σ Bands highlight statistically extreme premiums or discounts.
• Rate of Change (ROC) over one hour gauges the short-term directional acceleration of funding flows.
Colour & Label Interpretation
Visual cue Meaning Trading Implication
🟢 Green bars + “BULL Pressure” Premium rising faster than mean Leverage inflows → momentum strengthening
🔴 Red bars + “BEAR Pressure” Premium shrinking Leverage unwind → pull-back or consolidation
⚠️ Orange “EXTREME Premium/Discount” Crowded trade → heightened reversal risk
⚪ Grey bars Neutral Balanced conditions
Alerts
• Bull Pressure Alert → funding & premium rising (momentum building)
• Bear Pressure Alert → premium falling (deleveraging)
• Extreme Premium Alert → crowded longs; potential top
• Extreme Discount Alert → capitulation; possible bottom
Use case
Combine this indicator with your Heikin-Ashi, RSI, and MACD confluence rules:
• Enter only when your oscillators are low → curling up and Bull Pressure triggers.
• Trim or exit when Bear Pressure or Extreme Premium appears.
• Watch for Extreme Discount during flushes as an early bottoming clue.
Momentum Pro [FluxQuant]Momentum Pro — Adaptive Momentum & Regime Filter
Overview
Momentum Pro is a next-generation oscillator that combines rate-of-change (ROC), relative-strength (RSI), and stochastic-momentum frameworks into a unified adaptive model. It dynamically filters momentum through volatility, directional-movement, and trend-strength conditions to highlight only qualified signals in changing market regimes.
🔹 Key Features
Selectable Core Algorithm: Choose between ROC, RSI, or Stochastic momentum engines
Adaptive Signal System: Cross-based entries gated by volatility and trend filters
Quality Filters: Volatility, momentum intensity, and directional bias validation
Overbought / Oversold Zones: Automatic detection with background visualization
Multi-Timeframe Sync: Confirm intraday signals with higher-timeframe momentum
Divergence Scanner: Pivot-based detection of regular bullish / bearish divergences
Smart Dashboard: Real-time summary of market state, momentum strength, and filter status
Dynamic Visual Themes: Gradient, Premium, and Glassmorphism histogram modes
🧠 How It Works
Momentum Pro calculates normalized momentum using your selected algorithm and applies layered filters to ensure that only statistically significant moves are emphasized.
The volatility filter measures current vs. average ATR to confirm expansion.
The trend filter assesses DI +/ DI – differentials for directional bias.
The momentum gate suppresses signals during consolidation or low-range conditions.
Optional higher-timeframe data aligns local momentum with broader bias for cleaner entries.
When these filters agree, momentum crossovers or divergences are visually highlighted as potential study points — not trade instructions.
📈 Interpreting the Dashboard
Field Meaning
Market State Identifies current regime (Bullish, Bearish, Overbought, Oversold, Ranging)
Momentum Current oscillator value (0–100 normalized scale)
Change Recent acceleration / deceleration in momentum
Filter Whether volatility and trend criteria are satisfied
Signal Active cross or directional alignment
Trend / Vol / Intensity Strength metrics (Elite mode)
HTF Sync Confirms alignment with higher-timeframe momentum bias
Use the dashboard as a contextual overlay — not as a mechanical signal generator.
🧩 Configuration Guide
Algorithm: Select ROC for reactive speed, RSI for balanced smoothness, or Stochastic for cyclical range focus.
Signal Line: Enable to visualize crossovers. “Glow” style enhances contrast for clarity.
Filters: Keep “Enable Filter” active to limit noise. Adjust Volatility & Trend thresholds for sensitivity.
Zones: Use background fills to mark overbought / oversold regions and regime shifts.
Divergence: Turn on for automatic pivot-based divergence marking.
Multi-Timeframe: Enable HTF confirmation to study alignment with larger trend context.
Dashboard: Choose Minimal → Elite modes depending on information density preference.
🧭 Best Practices
Works on all markets — equities, futures, crypto, FX
Ideal for 15 m – 4 h – Daily timeframes
Pairs well with structure or liquidity analysis for confirmation
Use filters to isolate expansion phases; avoid trading during neutral states
⚠️ Disclaimer
Momentum Pro is an educational and analytical tool intended for research and visualization only.
It does not provide financial advice, trade signals, or guaranteed outcomes.
Always conduct independent analysis and risk assessment before making trading decisions.
🛠 Release Notes
v 1.0 — Initial Public Release
Multi-algorithm momentum core (ROC / RSI / Stochastic)
Volatility + trend quality filter system
Multi-timeframe synchronization and ribbon overlay
Divergence scanner and contextual dashboard
Dynamic visualization modes
Simulated Fear & Greed (CNN-calibrated v2)🧭 Fear & Greed Index — TradingView Version (Simulated CNN Model)
🔍 Purpose
The Fear & Greed Index is a sentiment indicator that quantifies market emotion on a scale from 0 to 100, where:
0 represents Extreme Fear (capitulation, oversold conditions), and
100 represents Extreme Greed (euphoria, overbought conditions).
It helps traders assess whether the market is driven by fear (risk aversion) or greed (risk appetite) — giving a high-level view of potential turning points in market sentiment.
⚙️ How It Works in TradingView
Because TradingView cannot directly access CNN’s or alternative external sentiment feeds, this indicator simulates the Fear & Greed Index by analyzing in-chart technical data that reflect investor psychology.
It uses a multi-factor model, converting price and volume signals into a composite sentiment score.
🧩 Components Used (Simulated Metrics)
Category Metric Emotional Interpretation
Volatility ATR (Average True Range) High ATR = Fear, Low ATR = Greed
Momentum RSI + MACD Histogram Rising momentum = Greed, Falling = Fear
Volume Activity Volume Z-Score High positive deviation = Greed, Low = Fear
Trend Context SMA Regime Bias (50/200) Downtrend adds Fear penalty, Uptrend supports Greed
These elements are normalized into a 0–100 scale using percentile ranks (like statistical scoring) and then combined using user-adjustable weights.
⚖️ CNN-Style Calibration
The script follows CNN’s five sentiment bands for clarity:
Range Zone Colour Description
0–25 Extreme Fear 🔴 Red Panic, forced selling, capitulation risk
25–45 Fear 🟠 Orange Uncertainty, hesitation, early accumulation phase
45–55 Neutral ⚪ Gray Balanced sentiment, indecision
55–75 Greed 🟢 Light Green Optimism, trend continuation
75–100 Extreme Greed 💚 Bright Green Euphoria, risk of reversal
This structure aligns visually with CNN’s public gauge, making it easy to interpret.
EZ-TRADEZ PROEZ-TRADEZ PRO gives optimized buy/sell signals for Forex, Stocks, and Crypto. It includes stop loss and take profit levels, backtested non-repainting signals, and adjustable volatility filters
EZ-TRADEZ CRYPTOEZ-TRADEZ CRYPTO gives optimized buy/sell signals for stocks. It includes stop loss and take profit levels, backtested non-repainting signals, and adjustable volatility filters
Vandan V2Vandan V2 is an automated trading strategy for NQ1! (E-mini Nasdaq-100) based on short-term mean reversion with dynamic risk control. It combines volatility filters and overbought/oversold signals to capture local market imbalances.
Backtested from 2015 to 2025, it achieved a +730% total return, Profit Factor of 1.40, max drawdown of only 1.61%, and over 106,000 trades. Designed for systematic scalping or intraday arbitrage with a limit of 3 simultaneous contracts.
EZ-TRADES STOCKSEZ-TRADEZ STOCKS gives optimized buy/sell signals for stocks. It includes stop loss and take profit levels, backtested non-repainting signals, and adjustable volatility filters
EZ-TRADEZ FOREX)EZ-TRADEZ FOREX gives optimized buy/sell signals for Forex. It includes stop loss and take profit levels, backtested non-repainting signals, and adjustable volatility filters
HTF Ranges - AWR/AMR/AYR [bilal]📊 Overview
Professional higher timeframe range indicator for swing and position traders. Calculate Average Weekly Range (AWR), Average Monthly Range (AMR), and Average Yearly Range (AYR) with precision projection levels.
✨ Key Features
📅 Three Timeframe Modes
AWR (Average Weekly Range): Weekly swing targets - Default 4 weeks
AMR (Average Monthly Range): Monthly position targets - Default 6 months
AYR (Average Yearly Range): Yearly extremes - Default 9 years
🎯 Dual Anchor Options
Period Open: Week/Month/Year opening price
RTH Open: First RTH session (09:30 NY) of the period
📐 Projection Levels
100% Range Levels: Upper and lower targets from anchor
Fractional Levels: 33% and 66% zones for partial targets
Custom Mirrored Levels: Set any percentage (0-200%) with automatic mirroring
Example: 25% shows both 25% and 75%
Example: 150% shows both 150% and -50%
📊 Information Table
Active range type (AWR/AMR/AYR)
Average range value for selected period
Current period range and percentage used
Distance remaining to targets (up/down)
Color-coded progress (green/orange/red)
🎨 Fully Customizable
Orange theme by default (differentiates from daily indicators)
Line colors, styles (solid/dashed/dotted), and widths
Toggle labels on/off
Adjustable lookback periods for each timeframe
Independent settings for each range type
⚡ Smart Features
Lines start at actual period open (not fixed lookback)
Automatically tracks current period high/low
Works on any chart timeframe
Real-time range tracking
Alert conditions when targets reached or exceeded
🎯 Use Cases
AWR (Weekly Ranges):
Swing trade targets (3-7 day holds)
Weekly support/resistance zones
Identify weekly trend vs rotation
Compare daily moves to weekly context
AMR (Monthly Ranges):
Position trade targets (2-4 week holds)
Monthly breakout levels
Institutional-level zones
Earnings play targets
AYR (Yearly Ranges):
Major reversal zones
Long-term support/resistance
Identify macro trend strength
Annual high/low projections
💡 Trading Strategies
AWR Strategy (Swing Trading):
Week opens near AWR lower level = potential long setup
Target AWR 66% and 100% levels
Week hits AWR upper in first 2 days = watch for reversal
Use fractional levels as scale-in/scale-out points
AMR Strategy (Position Trading):
Month opens near AMR extremes = fade setup
Month breaks AMR in week 1 = expansion (trend) month
Target opposite AMR extreme for swing positions
Use 33%/66% for partial profit taking
AYR Strategy (Long-term Context):
Price near AYR extremes = major reversal zones
Breaking AYR levels = historic moves (rare)
Use for macro trend confirmation
Great for yearly forecasting and planning
📊 Range Interpretation
<33% Range Used: Early in period, room for expansion
33-66% Range Used: Normal progression
66-100% Range Used: Extended, approaching extremes
>100% Range Used: Expansion period - trending or high volatility
⚙️ Settings Guide
Lookback Periods:
AWR: 4 weeks (standard) - adjust to 8-12 for smoother average
AMR: 6 months (standard) - seasonal patterns
AYR: 9 years (standard) - captures full cycles
Anchor Type:
Period Open: Use for clean week/month/year open reference
RTH Open: Use if you only trade day session, ignores overnight gaps
Custom Levels:
25% = quartile targets
75% = three-quarter targets
80% = "danger zone" for reversals
111% = extended breakout target
🔄 Combine with ADR Indicator
Run both indicators together for complete multi-timeframe analysis:
ADR for intraday precision
AWR/AMR/AYR for swing/position context
See if today's ADR move is significant in weekly/monthly context
Multi-timeframe confluence = highest probability setups
💼 Ideal For
Swing Traders: Use AWR for 3-10 day holds
Position Traders: Use AMR for 2-8 week holds
Long-term Investors: Use AYR for macro context
Index Futures Traders: ES, NQ, YM, RTY
Multi-timeframe Analysis: Combine with daily ADR
CEO Synapse v1.0CEO Synapse — Uyarlanabilir Rejim Stratejisi
This script is invite-only.
What Does This Strategy Do?
Markets are complex systems requiring various expertise. The "CEO Synapse" strategy adopts a "digital dashboard" approach based on the reality that a single viewpoint is insufficient. The strategy combines multiple analytical engines, each developed by me, analyzing different aspects of the market (structure, momentum, rhythm). It detects trend and momentum deviations in markets. A trading decision is made only when there is consensus among these expert engines. The "Synapse Engine" uses adaptive filtering and consensus logic for position management based on market regime (trend/range).
It eliminates the problem of traditional indicators generating misleading signals alone and failing to adapt to volatility and regime changes. Its dynamic threshold mechanism, adaptive periods, and special noise filters reduce unnecessary trades.
Original Methodology and Proprietary Logic: This algorithm does not rely on or copy any open source strategy code. The system uses commonly accepted indicators' mathematical principles such as ADX, EMA, SMA, ATR, True Range, etc., as data sources. The author's methodology combines dynamic period EMA, multi-filter consensus, adaptive threshold, and regime-based execution.
Though our strategy creates an original decision-making mechanism, it leverages foundational building blocks of technical analysis. The traditional indicators we use and their purposes are:
ADX (Average Directional Index): This indicator measures a trend’s strength, not its direction. Our strategy uses ADX as a filter to open positions only under sufficiently strong and distinct trend market conditions. This largely prevents misleading signals in weak or sideways markets.
Moving Averages (EMA and SMA): They form the backbone to determine the main trend direction. By smoothing price data, they reduce noise and reveal the market's general trend. But our strategy processes their outputs not as traditional crossover signals, but as input to an advanced consensus logic with dynamically adjusted periods based on market rhythm combined with other filters.
ATR (Average True Range): This indicator does not produce direct buy-sell signals but measures current market volatility. Especially in "Sideways Market" regime, take profit and stop loss levels are dynamically set based on ATR instead of fixed values, enabling risk management to adapt to market conditions.
Bollinger Band Logic (using Standard Deviation): Though the strategy does not plot Bollinger Bands directly, it uses Standard Deviation, the underlying mathematical concept, to detect excessive price deviations and volatility spikes, producing critical signals for the AMF PG core engine.
"Synapse Engine" consists of two layers: Decision Center (Dynamic Threshold) which automatically adjusts risk appetite based on performance and regime; and Filter Committee (Consensus Score) which weights separate filters to produce a single score. This combination is not reproducible and commercially valuable. Closed source is mandatory.
No classic open source code used. Only publicly available indicators are used. Parameters, order, and usage are fully customized.
Generated Signals: Trend/range entry/exit (long/short), adaptive trailing stop position management, additional risk control signals with Shock Absorber and Quantum Filter.
Purpose: Detect trend breaks and momentum deviations. Components: Volatility filters, adaptive signal weighting, EMA/SMA. Methodology: Combines price and volume change rates via dynamic weighting functions.
What Problem Does CEO Synapse Solve?
CEO Synapse addresses three main issues caused by traditional technical analysis and single indicator usage:
Problem: Misleading Signals and Market Noise
Traditional indicators (MACD, RSI, etc.) generate many "false" buy-sell signals, especially in sideways and choppy markets, causing traders to constantly enter and exit positions (whipsaw) and incur losses.
CEO Synapse Solution: The strategy never relies on a single signal. The Consensus-Based Decision Mechanism ensures no position is opened unless different analytical engines (structural, momentum, rhythm) agree. This "board of directors" approach filters market noise, processing only high-probability signals.
Problem: Static Analysis and Changing Market Conditions
Markets constantly change character; sometimes strong trend, sometimes narrow range. Most strategies try to function with fixed parameters across all conditions, leading to failure.
CEO Synapse Solution: The strategy has Adaptive Regime Switching. It actively analyzes whether the market is in "Trend Mode" or "Sideways Market Mode" and automatically adjusts entry/exit rules and risk management (take profit/stop loss) to the current regime, allowing chameleon-like adaptation to conditions.
Problem: Fixed Parameters and Declining Performance
Many traders believe they find the "best" settings and never change them for months or years. But as market volatility and cycles change, fixed settings lose effectiveness.
CEO Synapse Solution: The strategy operates on Full Adaptation principle.
Market Rhythm Adaptation: Dynamically adjusts analysis speed (e.g., EMA periods) according to market’s natural cycles.
Performance Adaptation: Continuously optimizes risk appetite (signal threshold) based on recent strategy performance, becoming bolder with gains and more cautious with losses.
In summary, CEO Synapse simplifies decision-making, eliminates market noise, and smartly adapts to changing market conditions, protecting the user from common mistakes.
Why "Invite-Only"?
Offering CEO Synapse as "Invite-Only" is a strategic decision to protect the strategy's commercial value and intellectual property and to provide users with the highest quality experience. Key reasons:
Protection of Proprietary IP:
CEO Synapse is the result of hundreds of hours of research, development, and testing. Its consensus logic, adaptive threshold mechanism, and engine integration are unique and patented. Open sourcing it would instantly destroy this trade secret and competitive edge.
Maintaining Performance Integrity and Effectiveness:
Uncontrolled distribution could lead to misuse or signal theft and sale by malicious actors. The invite-only model preserves the strategy’s integrity and ensures access only for serious investors.
Quality User Experience and Support:
Controlled distribution allows better user experience. High-quality documentation explaining features and best practices can be provided, and future updates and support services can be managed better for a limited user base.
Business Model:
CEO Synapse is positioned as a premium analysis tool. Invite-only access reflects its value and compensates the developer for ongoing maintenance, support, and future improvements.
Usage: Available on all timeframes.
Based entirely on my own adaptive filtering methodology.
Proprietary logic: The algorithm’s unique, non-reproducible logic and methodology. Example: Multi-filter consensus + adaptive threshold + regime-based execution.
Why Is This a Premium Tool?
"CEO Synapse"’s value stems from being a proprietary, integrated system beyond free standard indicators:
Advanced Noise Filtering: Not just reduces noise but adjusts filter sensitivity to current market character. Inspired by public mathematical concepts (cycle analysis, statistical filtering) but uniquely combined with proprietary weighting mechanisms and adaptive consensus logic forming the strategy's commercial value. Core indicators (EMA, ATR, ADX, DMI, etc.) are uniquely processed inside this proprietary system.
Full Adaptation: Instead of fixed parameters, the strategy continuously adapts to the market's natural rhythm, volatility, and past performance.
Consensus-Based Decision Making: Relies on collective intelligence of multiple analytical engines, not a single failure point.
These features substantially increase the ability to extract meaningful, actionable insights from raw market data, making it premium. It improves signal accuracy, reduces risk, and adapts to regime shifts. The dynamic threshold mechanism continuously adjusts risk appetite based on recent performance (profitability) and market regime.
By using this script, you agree not to redistribute, sell, or reverse engineer the source code.
This strategy is for educational purposes only. Past performance does not guarantee future results. Always apply proper risk management and protect your capital.
Risk Management: Maximum Drawdown Protection
The strategy includes a built-in capital protection mechanism. Users can specify the percentage drop from peak capital they tolerate. If the capital hits this drawdown limit, protection activates, closing all open positions and blocking new trades, acting as an emergency brake to guard capital against unexpected market conditions.
Automation Ready: Customizable Webhook Alerts
Fully Compatible Automation (JSON): The strategy outputs fully configurable JSON-formatted alert messages for buy, sell, and close actions. This allows connecting CEO Synapse signals to automation platforms like 3Commas and PineConnector for fully automated trading. Dynamic values like position size ({{strategy.order.contracts}}) are automatically included in alerts.
Strategy Backtest Information
Please remember past performance is not indicative of future results. The published chart and report are based on the BTCUSD pair in a 3-hour timeframe with the following settings:
Test Period: January 1, 2018 – November 3, 2025
Default Position Size: 15% of capital
Pyramiding: Off
Commission: 0.0008
Slippage: 2 ticks
Test Approach: The published test contains 201 trades and is statistically significant. Performing your own tests on different assets and timeframes is strongly recommended. Default settings are a template and should be adjusted per your analysis.
Advanced ICT ADR Projections [bilal]📊 Overview
Professional ADR indicator designed specifically for index futures traders. Calculate and visualize Average Daily Range with multiple session options, fractional levels, and higher timeframe context.
✨ Key Features
🎯 Multiple Session Types
Full Day: Standard calendar day calculation
Midnight: Anchored to 00:00 NY time open
RTH (Regular Trading Hours): 09:30-16:00 NY session
Custom: Define your own session hours and anchor point
📐 Projection Levels
100% ADR Levels: Upper and lower range targets from anchor
Fractional Levels: 33% and 66% zones for partial targets
Custom Mirrored Levels: Set any percentage (0-200%) with automatic mirroring
Example: 25% shows both 25% and 75%
Example: 111% shows both 111% and -11%
📅 Higher Timeframe Context (Optional)
AWR: Average Weekly Range overlay
AMR: Average Monthly Range overlay
AYR: Average Yearly Range overlay
All HTF ranges use same anchor as daily session
📊 Information Table
Current session type and anchor time
ADR value for selected period
Current range and percentage used
Distance remaining to ADR targets (up/down)
Color-coded range percentage (green/orange/red)
🎨 Fully Customizable
Line colors, styles (solid/dashed/dotted), and widths
Toggle labels on/off
Adjustable ADR lookback period (1-100 days)
All HTF periods customizable
⚡ Smart Features
Lines start at actual session open (not fixed lookback)
Works on any timeframe
Real-time range tracking
Alert conditions when ADR reached or exceeded
🎯 Use Cases
For Day Traders:
Set profit targets at ADR extremes
Identify range expansion vs rotation days
Know when you've used 75%+ of daily range (possible reversal)
Compare RTH vs full day ranges
For Swing Traders:
Use AWR/AMR for weekly/monthly targets
Understand if today's move is significant in weekly context
Multi-timeframe confluence
Risk Management:
Size positions based on % of ADR remaining
Avoid trading when ADR exhausted (>100%)
Better stop placement using fractional levels
💡 Trading Tips
<50% ADR used = Room to run (continuation trades)
50-75% ADR used = Getting extended (scale out)
75-100% ADR used = Near extremes (reversal setups)
>100% ADR = Expansion day (trend day or volatility spike)
Use fractional levels (33%, 66%) as:
Partial profit targets
Re-entry zones on pullbacks
Confluence with other support/resistance
Compare RTH vs Full Day ADR to see if overnight or day session drives volatility.
⚙️ Settings Guide
ADR Period: 5 days is standard, adjust for different market regimes
Session Types:
Use Midnight for crypto or 24hr markets
Use RTH for pure day session analysis
Use Custom for specific session times (London, Asia, etc.)
Custom Levels:
Set 25% for quartile levels
Set 111% for extended targets beyond ADR
Experiment with 50%, 75%, 80% for your strategy
Perfect for ES, NQ, YM, RTY futures traders who need precise intraday range analysis with higher timeframe context!
Option Chain-Based Call & Put Momentum VisualizerOption Chain-Based Call & Put Momentum Visualizer
invite-only by @JjpTradingAcademy
Overview
The Option Chain-Based CE/PE Momentum Visualizer is a powerful analytical tool designed to track real-time momentum and sentiment shifts between Call (CE) and Put (PE) options directly on the chart. It offers deep insight into option buyers’ and sellers’ behavior by analyzing multiple strikes, dynamically calculating cumulative CE/PE strength, and correlating it with underlying index price movements.
How to Use
The bottom pane of the indicator displays the decay data for both Call and Put options at every candle, green shows positive, red shows negative, and orange shows neutral. At the centre, it shows difference between Call and Put decay data, if the difference is less than 35 then it indicates with lime color otherwise it appears with purple color, When the trend changes between from lime and purple, the indicator plots a purple bar representing strong candles that often precede high momentum moves.
High/Low ranges are automatically plotted once the middle value drops below 10.
A breakout/breakdown of purple candle at the range indicates a strong directional movement on either side.
Reference images for visual guidance:
Inputs
To ensure proper functionality, fill in all fields correctly - Index/Stock Symbol Name, Pre-Market 's ATM Level, Options Type (OTM, ITM, OTM+ITM), Options Expiry Date, Options Symbol Prefix, Strike Interval If these are not set correctly, runtime errors may occur.
CE/PE Candle Strength – Displays CE/PE strength % for each candle
Highlight Prior Range – Marks previous High/Low zones for visual confirmation
Show Historical Entry Zone – Displays earlier High/Low ranges with color fills to highlight zone strength
Alerts
Purple Bar Signal
(Setup: Add Alert → Condition: "Option Chain-Based Call & Put Momentum Visualizer" → "Purple Bar Signal")
Security Call
All signals are calculated on bar close.
The script uses security () calls to fetch individual option OHLC data for accurate CE/PE momentum analysis.
Access
Invite-Only.
Request access via TradingView PM to @JjpTradingAcademy
Redistribution, reselling, or code extraction is strictly prohibited.
Disclaimer
This indicator is for educational purposes only.
It does not constitute financial advice or a guaranteed system of profitability.
Trading options involves significant risk - always conduct your own research and apply sound risk management.
Accurate ATR Stop Loss Distance — Risk Management ToolAccurate ATR Stop Loss Distance — Risk Management Tool
This indicator calculates an accurate Stop Loss distance in pips using the Average True Range (ATR) multiplied by a user-defined multiplier.
It automatically detects the correct pip size based on the instrument type (Forex, Crypto, Stocks, Indices, Futures), adjusting for 2-, 3-, 4-, or 5-digit quotes — ensuring professional-grade precision that matches institutional ATR-based risk systems.
📊 Features:
Uses ATR × Multiplier to determine precise SL distance in pips.
Automatically adjusts pip value depending on the asset type (handles 5-digit Forex brokers).
Clean and minimal design — displays only one info box in the top-right corner.
Fully customizable text and background colors.
Includes alert condition for automated SL updates.
⚙️ How to use:
Set your preferred ATR period and multiplier.
The indicator instantly displays your Stop Loss distance in pips at the top-right of the chart.
Combine with your entry strategy to calculate lot size or risk per trade.
💡 Ideal for traders who want consistent, objective SL distances derived from volatility rather than arbitrary points or emotions.
Note: Educational and informational tool only. Does not execute trades or give financial advice.
Binary Options Gold Scalping [TradingFinder] 1 & 5 Min Strategy🔵 Introduction
In binary options trading, price movements are often driven by the market’s tendency to reach key liquidity zones. These areas include Liquidity, Fair Value Gaps (FVGs), and Order Blocks (OBs), zones where a large number of pending orders are concentrated.
When price reaches one of these zones, it typically enters a Liquidity Sweep phase to collect available liquidity. After this process, the market often reacts sharply, either reversing direction or continuing its move with renewed momentum. Understanding this cycle forms the foundation of most smart money-based binary options strategies.
In this analytical approach, a Liquidity Sweep is usually seen as a False Breakout, often recognized through a distinctive candle confirmation pattern. The pattern appears when price briefly breaks a level to trigger stops, then quickly returns within range. This formation is one of the most reliable reversal signals for short-term trades and plays a central role in many binary options strategies.
After a liquidity sweep, price often returns to Fair Value Gap (FVG) or Order Block (OB) areas to restore balance in the market. These are zones where institutional orders are typically placed, and reactions around them can create high-probability trade setups. In binary options trading, this quick reaction following a sweep and retrace into an FVG or OB provides one of the best entry opportunities for short-term trades.
By combining the concepts of Liquidity Sweep, Fair Value Gap, and Order Block, traders can build a precise binary options strategy based on smart money behavior, allowing them to identify market reversals with greater confidence and enter at the optimal moment.
Bullish Setup :
Bearish Setup :
🔵 How to Use
This indicator is built on the Smart Money Concept (SMC) framework and serves as a core tool for accurately detecting Liquidity Sweeps, Order Blocks, and Fair Value Gaps in binary options trading.
Its logic is simple yet powerful : when price reaches high-interest liquidity zones and shows reversal signs, the indicator issues an entry signal immediately after a Candle Confirmation is complete.
Signals only activate when both the market structure and the candle confirmation pattern align, ensuring high accuracy in spotting genuine reversals.
🟣 Long Position
A bullish signal appears when the market, after a downward move, reaches sell-side liquidity zones where liquidity has built up below previous lows. In such conditions, a bullish Order Block or Fair Value Gap often exists in the same region, acting as a potential reversal point.
When the indicator detects the presence of liquidity, an imbalance zone (FVG), and a valid candle confirmation simultaneously, it triggers a green Call signal.
In a binary options strategy, the best entry moment is immediately after the candle confirmation closes, as this is when the probability of reversal is highest and the market tends to react strongly within the next few candles.
In the example below, after the liquidity sweep and candle confirmation, price quickly rallied, resulting in a Binary Win setup.
🟣 Short Position
A bearish signal occurs when price, after an upward move, reaches an area of buy-side liquidity and collects liquidity above recent highs. At this stage, the market is typically overbought and ready to reverse. If a bearish Order Block or Fair Value Gap exists in the same area and a candle confirmation pattern forms, the indicator displays a red Put signal.
This setup is highly accurate because multiple structural confirmations occur simultaneously : liquidity has been absorbed, price is rebalancing, and the confirmation candle has closed.
In binary options trading, this is the ideal moment to enter a Put (Sell) position, as the price reaction to the downside is usually quick and decisive.
In the example chart, the indicator generated a bearish signal right after the candle confirmation and completion of the liquidity sweep, price then dropped within minutes, resulting in another Binary Win.
🔵 Settings
Time Frame : Select the desired timeframe for analysis. If left blank, the indicator uses the chart’s current timeframe.
Swing Period : Defines how many candles are used to detect structural pivots (swing highs and lows). A higher value increases accuracy but reduces the number of signals.
Candle Pattern : Enables candle-based confirmation logic. When turned on, the indicator issues signals only if a valid reversal pattern is detected. You can also choose the confirmation filter strength, tighter filters show fewer but more precise signals.
🔵 Conclusion
A deep understanding of Liquidity Sweeps, Order Blocks, and Fair Value Gaps can make a decisive difference between ordinary and professional traders in the binary options market.
This indicator, combining smart money logic with candle confirmation, is one of the most precise tools for detecting true market reversals. When liquidity is collected and structural reversal signs emerge, the indicator automatically recognizes the price reaction and generates a reliable Call or Put signal.
Using this tool alongside market structure analysis and FVG detection allows traders to enter high-probability setups while filtering out false breakouts. For that reason, this binary options strategy is not only suitable for short-term trading but also valuable for understanding deeper smart-money behavior across timeframes.
Ultimately, success with this system comes down to two key principles: understanding the logic of the liquidity sweep and waiting for the candle confirmation to close. When these two conditions align, the indicator can pinpoint the best entry points with remarkable precision, helping you build a structured, intelligent, and profitable binary options strategy.
Liquidity & Momentum Master (LMM)💎 Liquidity & Momentum Master (LMM)
A professional dual-system indicator that combines:
📦 High-Volume Support/Resistance Zones and
📊 RSI + Bollinger Band Combo Signals — to visualize both smart money footprints and momentum reversals in one clean tool.
🧱 1. High-Volume Liquidity Zones (Support/Resistance Boxes)
Conditions
Visible only on 1H and higher timeframes (1H, 4H, 1D, etc.)
Detects candles with abnormally high volume and strong ATR-based range
Separates bullish (support) and bearish (resistance) zones
Visualization
All boxes are white, with adjustable transparency (alphaW, alphaBorder)
Each box extends to the right automatically
Only the most important (Top-N) zones are kept — weaker ones are removed automatically
Interpretation
White boxes = price areas with heavy liquidity and volume concentration
Price approaching these zones often leads to bounces or rejections
Narrow spacing = consolidation, wide spacing = potential large move
💎 2. RSI Exit + BB-RSI Combo Signals
RSI Exit (Overbought/Oversold Recovery)
RSI drops from overbought (>70) → plots red “RSI” above the candle
RSI rises from oversold (<30) → plots green “RSI” below the candle
Works on 15m, 30m, 1H, 4H, 1D
→ Indicates short-term exhaustion recovery
BB-RSI Combo (Momentum Reversal Confirmation)
Active on 1H and higher only
Requires both:
✅ RSI divergence (bullish or bearish)
✅ Bollinger Band re-entry (after temporary breakout)
Combo Buy (Green Diamond)
Bullish RSI divergence
Candle closes back above lower Bollinger Band
Combo Sell (Red Diamond)
Bearish RSI divergence
Candle closes back below upper Bollinger Band
→ Confirms stronger reversal momentum compared to standard RSI signals
Exact-Month Avg & Vol (USDT) + Winsor/Clip/RV - V0.95d by McTogaWhat the indicator does
1) Data basis & window Uses the chart symbol by default (or manually via input). Works internally with daily closing prices (request.security(..., “D”, ...)) – regardless of whether you use D/W/M in the chart. Exact monthly logic: The evaluation window is determined by actual calendar months (1/3/6/12 or custom), not by fixed 30/90 days.
2) Returns & preprocessingReturn definition selectable: logarithmic (default) or simple return – each in %/day. Winsorizing (lower/upper percentile) and clipping (|r| ≤ X percentage points) optional to limit outliers.
3) Key figures (not annualized)Arithmetic daily volatility: Mean of absolute daily returns in %.Median volatility: Median of absolute daily returns in %. Standard deviation (StdDev) of daily returns in %. Realized variance (RV) = Σ r² and √RV (indicative of cumulative realized vol).
4) Annualization (optional) Basis 252 or 365 days. For |r|-based measures (arithmetic/median), optional Abs→Sigma factor √(π/2) to bring them closer to StdDev. Provides arithmetic p.a., median p.a., StdDev p.a., RV p.a..
5) Additional metrics Avg Price: Arithmetic average of daily closes in the window. Days (effDays): Number of trading days actually considered in the window.
6) Display & operation Only active on D/W/M (intraday everything is suppressed). Short mode (default): compact table with Avg Price • Days • Arith Vol • Median Vol • StdDev • √RV • Arith p.a. • Median p.a. • StdDev p.a. • RV p.a. Full mode: detailed table; individual rows can be toggled (Avg Price, Arith/Median/StdDev, RV, Annuals). Positions: table can be selected at 4 corners; toggle without restarting. Label (optional): compact text summary on the chart (corner selectable). Price plot (optional): 1D close as overlay.
7) Help, Debug & AlertsOnline help: 3 lines in the status bar (Help-On variant).Debug table (optional): shows RetCount, Winsor limits, clip status, key figures.Alert: Trigger when arithmetic daily volatility ≥ threshold value.
8) RobustnessTables/label handles are correctly deleted/recreated when TF/mode/position changes.No prohibited global writes in functions; clear typing (no na on bool).Typical useSelect monthly window (e.g., 3M) → optionally set Winsor/clip.Short or full as needed; select position. Annualization on/off; activate Abs→Sigma if necessary. Optional: Switch on label/price plot/debug; set alert threshold.
OrderVibe indicator (Invite-Only)OrderVibe — Technical Overview & Release Summary
What it is
OrderVibe is a closed-source analytical tool that visualizes market structure, momentum, and volatility dynamics.
It does not manage orders. Instead, it draws entry zones, TP and SL areas, support and resistance levels, and contextual alerts so traders can build and refine their own decision-making process.
How it works — Technical Overview
* Trend Regime Filter (optional) — Uses a sloped moving-average baseline to define market bias and can optionally require higher-timeframe (HTF) confirmation.
* Momentum Gate — A smoothed rate-of-change momentum must align with the trend and exceed a configurable strength threshold.
* Volatility Filter — ATR-based dynamic bounds suppress signals during abnormally low or high volatility.
* Order-Block Zones (SMC element) — Detects pre-break structural areas and marks candidate Order Blocks used for confluence; zones invalidate after decisive closes.
* Support/Resistance Zones — Clusters recent pivot points into ATR-normalized areas, prioritizing the most relevant ones by recency and proximity.
* Entry Zone — A yellow box plotted between entry and stop regions, providing visual context for fresh setups and helping identify controlled retests.
* Baseline Stop Suggestion — Suggests a conservative protective distance based on ATR or recent swing, whichever is larger.
* ATR TP Ladder (TP1–TP5) — Multi-level ATR-based targets. Each level can be toggled and alerted individually.
* Price Readouts — Real-time price markers shown under TP1–TP5 and SL labels for clarity.
* Cooldown Logic — After a label is triggered, a brief cooldown prevents duplicates; invalidated zones are automatically removed.
* Liquidity Zone (soft SL) — Optional buffer around the stop-loss area to reduce sensitivity to stop hunts.
* Opposite Order Block Proximity Guard — Prevents new entries when a nearby opposite OB is within a restricted distance (confluence protection).
* ATH/ATL Exhaustion Guard — After a fresh All-Time High/Low, temporarily blocks new signals in the breakout direction to prevent exhaustion trades.
* Alerts (multi-level) — Configurable alerts covering:
* Confirmed buy/sell signals (at bar close)
* Potential setup forming (intrabar, early heads-up)
* Newly formed support/resistance levels
* Red news reminder window
Why it’s not a simple mashup
* Dual confirmation via trend and momentum, optionally aligned with HTF direction.
* Volatility-aware gating and ATR-normalized clustering for adaptive signal control.
* Integrated multi-target ladder, cooldown, and visual tracking in a single workflow.
* Expanded alert system for both structural and contextual events (OB/SR/news/EA bridge).
* Provides measurable analytical value beyond conventional MA/ATR-based systems by merging structure recognition with volatility-normalized logic.
How to use
* Works on any symbol; defaults are optimized for intraday XAUUSD.
* Adjust ATR parameters, volatility bounds, and TP multipliers according to instrument volatility.
* Use alerts for monitoring structural changes; disable unused TP levels for clarity.
* Always test before live usage.
Disclaimer
Analytical tool only.
This is not financial advice, and performance outcomes are not guaranteed.
Always apply independent judgment and appropriate risk management.
Marshall Gold Spot SignalsPrediction of How It Will Behave (Live on Chart)
✅ Bullish Scenario (Uptrend Prediction)
If price:
Drops near or below the lower Bollinger Band
Then crosses above the SMA(20)
→ You’ll get a "BUY" label right below the candle.
🟢 What happens:
If trend continues up, SMA(20) moves above SMA(50)
Price trades between middle and upper BB
Potential continuation pattern
Confidence: High in sideways-to-uptrend markets
Target levels: Middle-to-upper BB
❌ Bearish Scenario (Downtrend Prediction)
If price:
Spikes near upper BB
Then crosses below the SMA(20)
→ You’ll get a "SELL" label above the candle.
🔻 What happens:
Price typically moves toward middle/lower BB
Possible SMA(20) < SMA(50) cross
Trendline drawn downward
Confidence: Strong in overbought markets
Target levels: BB Basis or BB Lower
🤔 Consolidation / Chop Zone
When:
Price stays between SMA(20) and SMA(50)
BB bands are tight
⚠️ You might get false signals back and forth (whipsaw)
Tip: Add RSI or trend filter to reduce noise
📊 Realistic Performance Expectations
Market Condition Signal Quality Best Use
Strong Trend ✅ High Trend-following entries
Ranging Market ⚠️ Medium to Low Better with filters (e.g. RSI)
Volatile Breaks ✅ Good with BB Volatility squeeze detection
Dynamic Liquidity HeatMap Profile [BigBeluga]🔵 OVERVIEW
The Dynamic Liquidity HeatMap Profile is a smart-flow liquidity tracker that maps where stop-loss clusters and resting limit orders are likely positioned.
Instead of traditional volume profiles based only on executed transactions, this tool projects probable liquidity pools — areas where traders are trapped or positioned and where smart money may hunt stops or fill orders.
It dynamically scans recent price swings, builds liquidity zones above and below price, and visualizes them as a heat map + histogram — highlighting areas with the greatest liquidity attraction.
Orange highlights the highest-concentration liquidity (POC), making potential sweep targets obvious.
🔵 CONCEPTS
Liquidity pools form above swing highs (buy stops) and below swing lows (sell stops).
Market makers & large players often push price into these zones to trigger stops and capture liquidity.
The indicator uses recent volatility + volume expansion to estimate where these pools exist.
Horizontal heat bars show depth and intensity of probable liquidity.
Profile side histogram displays buy-side vs sell-side liquidity distribution.
🔵 FEATURES
Dynamic Liquidity Detection — finds potential stop-loss clusters from recent swing behavior.
Dual-Side Heatmap — split liquidity view above (short stops) and below (long stops) current price.
Volume-Weighted Levels — higher volatility & volume = deeper liquidity expectation.
Real-Time Heat Coloring
• Lime = liquidity below price (potential buy-side fuel)
• Blue = liquidity above price (potential sell-side fuel)
• Orange = peak liquidity (POC)
Liquidity Profile Histogram — plotted at right side, layered by strength.
Auto-Cleaning Engine — removes invalidated liquidity after breaks.
Adjustable lookback window and bin resolution .
🔵 HOW TO USE
Look for price moving toward dense liquidity zones — high probability of wick raids or sweeps.
Orange POC often acts as magnet — strong target zone for smart money.
Combine with SFP / BOS logic to time reversals after liquidity hunts.
In trend, price repeatedly sweeps opposite-side liquidity before continuation.
Use liquidity walls as bias filters — heavy liquidity above often precedes downward move, and vice-versa.
Great for scalping sessions, indices, FX, BTC, ETH.
🔵 CONCLUSION
The Dynamic Liquidity HeatMap Profile gives traders a tactical edge by revealing where the market’s hidden liquidity resides.
It highlights where shorts and longs are positioned, identifies likely sweep zones, and marks the most attractive liquidity magnet (POC).
Use it to anticipate stop hunts, avoid getting trapped, and align with smart-money flow instead of fighting it.
