NY Open Market Condition Analyzer – TTR & RINY Open Market Condition Analyzer – TTR & RI
Built for MNQ/NQ futures scalpers, this indicator filters out weak sessions and highlights when conditions at the **New York Open (6:30–8:30AM PST)** align with high-probability setups.
📊 Core Strategy Filters
TTR = Total Trading Range (2:00–6:30AM PST premarket movement)
RI = Reactive Impulse (first 5-minute candle size)
VWAP Clearance = directional clarity
🎯 Primary Objective
This tool helps you:
Skip indecisive sessions (often Mondays/Fridays)
Trade only when structural volatility and momentum support your scalping edge
Save mental capital by confirming setup quality *before* taking trades
✅ Features
🧠 Smart Session Filter
Automatically scans for 3 key signals:
- Premarket Range ≥ customizable threshold (default: 15 points)
- Opening Candle Impulse ≥ customizable threshold (default: 10 points)
- Price Distance from VWAP ≥ customizable threshold (default: 5 points)
🎨 Visual Feedback
Background Color
- 🟩 Green = Strong Session (GOOD SETUP)
- 🟥 Red = Weak Structure (SKIP)
Labels & Shapes** at 6:30AM PST
📋 Dashboard Panel (6:30AM PST)
Displays key live metrics:
Premarket Range
First 5-minute Candle Body Size
VWAP Distance
Overall Setup Signal (✅ or ⚠️)
🔔 Real-Time Alert System
Get notified right at the NY open if a “GOOD SETUP” is detected.
🛠️ Configurable Settings
🔧 Minimum Premarket Range
🔧 Minimum Candle Body Size
🔧 Minimum VWAP Distance
🎨 Custom Colors for:
- Session Quality
- Dashboard
- VWAP / Range Lines
🔔 How to Add the Alert
Load this script on your MNQ chart.
Click the **"Alerts" tab** (🔔 icon on the right sidebar).
Click **"+ Create Alert"**.
For **Condition**, select:
- `NY Open Market Condition Analyzer – TTR & RI` → `Good Setup Alert`
Set **Alert Action** (app push, email, webhook, etc.)
Set **"Only Once Per Bar"** to ensure you’re only notified once at 6:30AM PST.
🧪 Best For
NQ/MNQ scalpers using 1R setups (10–30pt targets)
Traders who want to avoid Mondays/Fridays unless structure proves otherwise
Structure-first discretionary or semi-systematic traders
🧠 Pro Tip
Pair this with:
Session VWAP
Pre-market S/R zones
Opening Range Breakout strategies
This tool ensures you’re only hunting on the right terrain.
Indicatori e strategie
Yosef26 - Hierarchical Decision Model//@version=5
indicator("Yosef26 - Hierarchical Decision Model", overlay=true)
// === Moving Averages ===
ema20 = ta.ema(close, 20)
ema50 = ta.ema(close, 50)
ema100 = ta.ema(close, 100)
// === Candle Components ===
priceRange = high - low
body = math.abs(close - open)
upperWick = high - math.max(close, open)
lowerWick = math.min(close, open) - low
volSMA = ta.sma(volume, 20)
// === Volume Momentum ===
volUp3 = (volume > volume ) and (volume > volume )
// === Candlestick Pattern Detection ===
bullishEngulfing = (close < open ) and (close > open) and (close > open ) and (open < close )
bearishEngulfing = (close > open ) and (close < open) and (close < open ) and (open > close )
doji = body < (priceRange * 0.1)
hammer = (lowerWick > body * 2) and (upperWick < body) and (close > open)
shootingStar = (upperWick > body * 2) and (lowerWick < body) and (close < open)
// === Multi-Timeframe Trend Detection ===
monthlyTrendUp = request.security(syminfo.tickerid, "M", close > ta.sma(close, 50))
weeklyTrendUp = request.security(syminfo.tickerid, "W", close > ta.sma(close, 50))
dailyTrendUp = close > ta.sma(close, 50)
// === Support/Resistance Zones ===
atSupport = low <= ta.lowest(low, 5)
atResistance = high >= ta.highest(high, 5)
// === Breakout Detection ===
breakoutAboveResistance = close > ta.highest(high , 5) and volume > volSMA and close > ema50
// === Confirming Candles ===
twoGreenCandles = (close > open) and (close > open )
twoRedCandles = (close < open) and (close < open )
// === Overextension Filter ===
overbought = close > ema20 * 1.05
// === Entry/Exit Conditions Tracking ===
var int lastEntryBar = na
var int lastExitBar = na
minBarsBetweenEntries = 10
canEnter = na(lastEntryBar) or (bar_index - lastEntryBar >= minBarsBetweenEntries and bar_index - lastExitBar >= minBarsBetweenEntries)
// === Continuation Filter (3 green candles with volume rise) ===
bullContinuation = (close > open) and (close > open ) and (close > open ) and (volume > volume ) and (volume > volume )
// === Entry Price Tracking ===
var float entryPrice = na
// === Weakness After Uptrend for Exit ===
recentGreenTrend = (close > open ) and (close > open ) and (close > open )
reversalCandle = shootingStar or bearishEngulfing or doji
reversalVolumeDrop = (volume < volume ) and (volume < volume )
signalWeakness = recentGreenTrend and reversalCandle and reversalVolumeDrop
// === Scoring System ===
entryScore = 0
entryScore := entryScore + (atSupport ? 3 : 0)
entryScore := entryScore + (bullishEngulfing ? 3 : 0)
entryScore := entryScore + (hammer ? 2 : 0)
entryScore := entryScore + (volUp3 ? 2 : 0)
entryScore := entryScore + ((volume > volSMA) ? 2 : 0)
entryScore := entryScore + ((close > ema20 or close > ema50) ? 1 : 0)
entryScore := entryScore + ((close > close ) ? 1 : 0)
entryScore := entryScore + (breakoutAboveResistance ? 2 : 0)
entryScore := entryScore + (twoGreenCandles ? 1 : 0)
entryScore := entryScore - (overbought ? 2 : 0)
entryScore := entryScore + ((monthlyTrendUp and weeklyTrendUp and dailyTrendUp) ? 2 : 0)
exitScore = 0
exitScore := exitScore + (atResistance ? 3 : 0)
exitScore := exitScore + (bearishEngulfing ? 3 : 0)
exitScore := exitScore + (shootingStar ? 2 : 0)
exitScore := exitScore + (doji ? 1 : 0)
exitScore := exitScore + ((volume < volSMA * 1.1) ? 1 : 0)
exitScore := exitScore + ((close < ema50) ? 1 : 0)
exitScore := exitScore + ((close < close ) ? 1 : 0)
exitScore := exitScore + (twoRedCandles ? 1 : 0)
exitScore := exitScore + ((not dailyTrendUp and not weeklyTrendUp) ? 2 : 0)
exitScore := exitScore + (signalWeakness ? 2 : 0)
// === Profit Target Exit Condition ===
profitTargetHit = not na(entryPrice) and close >= entryPrice * 1.09
profitZoneSignal = (atResistance or shootingStar or bearishEngulfing) and volume > volSMA
isNewHigh = high >= ta.highest(high, 50)
exitAtProfitTarget = profitTargetHit and profitZoneSignal and not isNewHigh
// === Final Decision Thresholds ===
entryCond1 = entryScore >= 8
entryCond2 = entryScore >= 6 and breakoutAboveResistance and volume > volSMA and close > ema50
entryCond3 = monthlyTrendUp and weeklyTrendUp and (close > ema50 or volume > volSMA or twoGreenCandles)
entryCond = (entryCond1 or entryCond2 or entryCond3) and canEnter
exitCondRaw = (exitScore >= 7)
exitCond = (exitCondRaw and not bullContinuation) or exitAtProfitTarget
// === Position Tracking ===
var bool inPosition = false
var int barsInPosition = 0
var label entryLabel = na
var label exitLabel = na
if entryCond and not inPosition
inPosition := true
barsInPosition := 0
lastEntryBar := bar_index
entryPrice := close
entryLabel := label.new(bar_index, close, "Entry @" + str.tostring(close), style=label.style_label_up, color=color.green, textcolor=color.white)
if inPosition
barsInPosition += 1
if exitCond and inPosition
inPosition := false
barsInPosition := 0
lastExitBar := bar_index
exitLabel := label.new(bar_index, close, "Exit @" + str.tostring(close), style=label.style_label_down, color=color.red, textcolor=color.white)
// === Alerts ===
alertcondition(entryCond, title="Entry Alert", message="Yosef26: Entry Signal (Hierarchical Model)")
alertcondition(exitCond, title="Exit Alert", message="Yosef26: Exit Signal (Hierarchical Model)")
AlgoRanger Supply & Demand Zones/@version=5
indicator(" AlgoRanger Supply & Demand Zones", overlay=true, max_boxes_count = 500)
//inputs
candleDifferenceScale = input.float(defval = 1.8, minval = 1, title = 'Zone Difference Scale', tooltip = 'The scale of how much a candle needs to be larger than a previous to be considered a zone (minimum value 1.0, default 1.😎', group = 'Zone Settings')
zoneOffset = input.int(defval = 15, minval = 0, title="Zone Extension", group = 'Display Settings', tooltip = 'How much to extend zones to the right of latest bar in bars')
displayLowerTFZones = input.bool(false, title="Display Lower Timeframe Zones", group = 'Display Settings', tooltip = 'Whether to or not to display zones from a lower timeframe (ie. 2h zones on 4h timeframe, Recommended OFF)')
supplyEnable = input(true, title = "Enable Supply Zones", group = "Zone Personalization")
supplyColor = input.color(defval = color.rgb(242, 54, 69, 94), title = 'Supply Background Color', group = 'Zone Personalization')
supplyBorderColor = input.color(defval = color.rgb(209, 212, 220, 90), title = 'Supply Border Color', group = 'Zone Personalization')
demandEnable = input(true, title = "Enable Demand Zones", group = "Zone Personalization")
demandColor = input.color(defval = color.rgb(76, 175, 80, 94), title = 'Demand Background Color', group = 'Zone Personalization')
demandBorderColor = input.color(defval = color.rgb(209, 212, 220, 80), title = 'Demand Border Color', group = 'Zone Personalization')
textEnable = input(true, title = "Display Text", group = 'Text Settings')
displayHL = input.bool(false, title="Display High/Low", group = 'Text Settings', tooltip = 'Whether to or not to display the tops and bottoms of a zone as text (ie. Top: 4000.00 Bottom: 3900.00)')
textColor = input.color(defval = color.rgb(255, 255, 255), title = 'Text Color', group = 'Text Settings')
textSize = input.string("Small", title="Text Size", options= , group = 'Text Settings')
halign = input.string("Right", title="Horizontal Alignment", options= , group = 'Text Settings')
supplyValign = input.string("Bottom", title="Vertical Alignment (Supply)", options= , group = 'Text Settings')
demandValign = input.string("Top", title="Vertical Alignment (Demand)", options= , group = 'Text Settings')
display30m = input.bool(true, title="Show 30m Zones", group = 'Timeframe Options')
display45m = input.bool(true, title="Show 45m Zones", group = 'Timeframe Options')
display1h = input.bool(true, title="Show 1h Zones", group = 'Timeframe Options')
display2h = input.bool(true, title="Show 2h Zones", group = 'Timeframe Options')
display3h = input.bool(true, title="Show 3h Zones", group = 'Timeframe Options')
display4h = input.bool(true, title="Show 4h Zones", group = 'Timeframe Options')
displayD = input.bool(false, title="Show 1D Zones", group = 'Timeframe Options')
displayW = input.bool(false, title="Show 1W Zones", group = 'Timeframe Options')
// variables
currentTimeframe = timeframe.period
if currentTimeframe == 'D'
currentTimeframe := '1440'
if currentTimeframe == 'W'
currentTimeframe := '10080'
if displayLowerTFZones
currentTimeframe := '0'
momentCTD = math.round(time(timeframe.period) + (zoneOffset * 60000 * str.tonumber(currentTimeframe)))
textSize := switch textSize
"Auto" => size.auto
"Tiny" => size.tiny
"Small" => size.small
"Normal" => size.normal
"Large" => size.large
"Huge" => size.huge
halign := switch halign
'Left'=> text.align_left
'Center' => text.align_center
'Right' => text.align_right
supplyValign := switch supplyValign
'Bottom'=> text.align_bottom
'Center' => text.align_center
'Top' => text.align_top
demandValign := switch demandValign
'Bottom'=> text.align_bottom
'Center' => text.align_center
'Top' => text.align_top
var box supply_HT = array.new_box()
var box demand_HT = array.new_box()
//plotting zones
createSupplyDemandZones(timeframe) =>
= request.security(syminfo.tickerid, timeframe, [open , high , low , close ], lookahead = barmerge.lookahead_on)
timeframeFormatted = switch timeframe
'1' => '1m'
'3' => '3m'
'5' => '5m'
'16' => '15m'
'30' => '30m'
'45' => '45m'
'60' => '1h'
'120' => '2h'
'180' => '3h'
'240' => '4h'
'D' => '1D'
'W' => '1W'
redCandle_HT = close_HT < open_HT
greenCandle_HT = close_HT > open_HT
neutralCandle_HT = close_HT == open_HT
candleChange_HT = math.abs(close_HT - open_HT)
var float bottomBox_HT = na
var float topBox_HT = na
momentCTD_HT = time(timeframe)
if (((redCandle_HT and greenCandle_HT ) or (redCandle_HT and neutralCandle_HT )) and (candleChange_HT / candleChange_HT ) >= candleDifferenceScale and barstate.isconfirmed and supplyEnable and close_HT >= close_HT and open_HT <= open_HT)
if displayHL
timeframeFormatted := timeframeFormatted + ' Top: ' + str.tostring(topBox_HT) + ' Bottom: ' + str.tostring(open_HT )
if high_HT >= high_HT
topBox_HT := high_HT
else
topBox_HT := high_HT
box supply = box.new(left=momentCTD_HT, top=topBox_HT, right=momentCTD, bgcolor=supplyColor, bottom=open_HT , xloc=xloc.bar_time)
box.set_border_color(supply, supplyBorderColor)
if textEnable
box.set_text(supply, timeframeFormatted)
box.set_text_size(supply, textSize)
box.set_text_color(supply, textColor)
box.set_text_halign(supply, halign)
box.set_text_valign(supply, supplyValign)
array.push(supply_HT, supply)
if (((greenCandle_HT and redCandle_HT ) or (greenCandle_HT and neutralCandle_HT )) and (candleChange_HT / candleChange_HT ) >= candleDifferenceScale and barstate.isconfirmed and demandEnable and close_HT <= close_HT and open_HT >= open_HT)
if displayHL
timeframeFormatted := timeframeFormatted + ' Top: ' + str.tostring(open_HT ) + ' Bottom: ' + str.tostring(bottomBox_HT)
if low_HT <= low_HT
bottomBox_HT := low_HT
else
bottomBox_HT := low_HT
box demand = box.new(left=momentCTD_HT, top=open_HT , right=momentCTD, bottom=bottomBox_HT, bgcolor=demandColor, xloc=xloc.bar_time)
box.set_border_color(demand, demandBorderColor)
if textEnable
box.set_text(demand, timeframeFormatted)
box.set_text_size(demand, textSize)
box.set_text_color(demand, textColor)
box.set_text_halign(demand, halign)
box.set_text_valign(demand, demandValign)
array.push(demand_HT, demand)
// initiation
// remove comments to add these zones to the chart (warning: this will break replay mode)
// if str.tonumber(currentTimeframe) <= 5
// createSupplyDemandZones('5')
//if str.tonumber(currentTimeframe) <= 15
// createSupplyDemandZones('15')
//if str.tonumber(currentTimeframe) <= 10
// createSupplyDemandZones('10')
//if str.tonumber(currentTimeframe) <= 15
// createSupplyDemandZones('15')
if display30m and str.tonumber(currentTimeframe) <= 30
createSupplyDemandZones('30')
if display45m and str.tonumber(currentTimeframe) <= 45
createSupplyDemandZones('45')
if display1h and str.tonumber(currentTimeframe) <= 60
createSupplyDemandZones('60')
if display2h and str.tonumber(currentTimeframe) <= 120
createSupplyDemandZones('120')
if display3h and str.tonumber(currentTimeframe) <= 180
createSupplyDemandZones('180')
if display4h and str.tonumber(currentTimeframe) <= 240
createSupplyDemandZones('240')
if displayD and str.tonumber(currentTimeframe) <= 1440
createSupplyDemandZones('D')
if displayW and str.tonumber(currentTimeframe) <= 10080
createSupplyDemandZones('W')
// remove broken zones
i = 0
while i < array.size(supply_HT) and array.size(supply_HT) > 0
box currentBox = array.get(supply_HT, i)
float breakLevel = box.get_top(currentBox)
if high > breakLevel
array.remove(supply_HT, i)
box.delete(currentBox)
int(na)
else
box.set_right(currentBox, momentCTD)
i += 1
int(na)
i2 = 0
while i2 < array.size(demand_HT) and array.size(demand_HT) > 0
box currentBox = array.get(demand_HT, i2)
float breakLevel = box.get_bottom(currentBox)
if low < breakLevel
array.remove(demand_HT, i2)
box.delete(currentBox)
int(na)
else
box.set_right(currentBox, momentCTD)
i2 += 1
int(na)
Key Levels SpacemanBTC IDWMThe Key Level Indicator for TradingView is a powerful tool designed to automatically identify and display critical price levels where significant market reactions have historically occurred. These levels include previous highs and lows, session opens, closes, midpoints, and custom support/resistance zones based on user-defined criteria. The indicator helps traders pinpoint areas of potential liquidity, breakout zones, and high-probability reversal or continuation setups. With customizable styling, real-time updates, and multi-timeframe support, this indicator is ideal for scalpers, day traders, and swing traders looking to enhance their technical analysis with clearly marked, actionable price levels.
ADX Forecast [Titans_Invest]ADX Forecast
This isn’t just another ADX indicator — it’s the most powerful and complete ADX tool ever created, and without question the best ADX indicator on TradingView, possibly even the best in the world.
ADX Forecast represents a revolutionary leap in trend strength analysis, blending the timeless principles of the classic ADX with cutting-edge predictive modeling. For the first time on TradingView, you can anticipate future ADX movements using scientifically validated linear regression — a true game-changer for traders looking to stay ahead of trend shifts.
1. Real-Time ADX Forecasting
By applying least squares linear regression, ADX Forecast projects the future trajectory of the ADX with exceptional accuracy. This forecasting power enables traders to anticipate changes in trend strength before they fully unfold — a vital edge in fast-moving markets.
2. Unmatched Customization & Precision
With 26 long entry conditions and 26 short entry conditions, this indicator accounts for every possible ADX scenario. Every parameter is fully customizable, making it adaptable to any trading strategy — from scalping to swing trading to long-term investing.
3. Transparency & Advanced Visualization
Visualize internal ADX dynamics in real time with interactive tags, smart flags, and fully adjustable threshold levels. Every signal is transparent, logic-based, and engineered to fit seamlessly into professional-grade trading systems.
4. Scientific Foundation, Elite Execution
Grounded in statistical precision and machine learning principles, ADX Forecast upgrades the classic ADX from a reactive lagging tool into a forward-looking trend prediction engine. This isn’t just an indicator — it’s a scientific evolution in trend analysis.
⯁ SCIENTIFIC BASIS LINEAR REGRESSION
Linear Regression is a fundamental method of statistics and machine learning, used to model the relationship between a dependent variable y and one or more independent variables 𝑥.
The general formula for a simple linear regression is given by:
y = β₀ + β₁x + ε
β₁ = Σ((xᵢ - x̄)(yᵢ - ȳ)) / Σ((xᵢ - x̄)²)
β₀ = ȳ - β₁x̄
Where:
y = is the predicted variable (e.g. future value of RSI)
x = is the explanatory variable (e.g. time or bar index)
β0 = is the intercept (value of 𝑦 when 𝑥 = 0)
𝛽1 = is the slope of the line (rate of change)
ε = is the random error term
The goal is to estimate the coefficients 𝛽0 and 𝛽1 so as to minimize the sum of the squared errors — the so-called Random Error Method Least Squares.
⯁ LEAST SQUARES ESTIMATION
To minimize the error between predicted and observed values, we use the following formulas:
β₁ = /
β₀ = ȳ - β₁x̄
Where:
∑ = sum
x̄ = mean of x
ȳ = mean of y
x_i, y_i = individual values of the variables.
Where:
x_i and y_i are the means of the independent and dependent variables, respectively.
i ranges from 1 to n, the number of observations.
These equations guarantee the best linear unbiased estimator, according to the Gauss-Markov theorem, assuming homoscedasticity and linearity.
⯁ LINEAR REGRESSION IN MACHINE LEARNING
Linear regression is one of the cornerstones of supervised learning. Its simplicity and ability to generate accurate quantitative predictions make it essential in AI systems, predictive algorithms, time series analysis, and automated trading strategies.
By applying this model to the ADX, you are literally putting artificial intelligence at the heart of a classic indicator, bringing a new dimension to technical analysis.
⯁ VISUAL INTERPRETATION
Imagine an ADX time series like this:
Time →
ADX →
The regression line will smooth these values and extend them n periods into the future, creating a predicted trajectory based on the historical moment. This line becomes the predicted ADX, which can be crossed with the actual ADX to generate more intelligent signals.
⯁ SUMMARY OF SCIENTIFIC CONCEPTS USED
Linear Regression Models the relationship between variables using a straight line.
Least Squares Minimizes the sum of squared errors between prediction and reality.
Time Series Forecasting Estimates future values based on historical data.
Supervised Learning Trains models to predict outputs from known inputs.
Statistical Smoothing Reduces noise and reveals underlying trends.
⯁ WHY THIS INDICATOR IS REVOLUTIONARY
Scientifically-based: Based on statistical theory and mathematical inference.
Unprecedented: First public ADX with least squares predictive modeling.
Intelligent: Built with machine learning logic.
Practical: Generates forward-thinking signals.
Customizable: Flexible for any trading strategy.
⯁ CONCLUSION
By combining ADX with linear regression, this indicator allows a trader to predict market momentum, not just follow it.
ADX Forecast is not just an indicator — it is a scientific breakthrough in technical analysis technology.
⯁ Example of simple linear regression, which has one independent variable:
⯁ In linear regression, observations ( red ) are considered to be the result of random deviations ( green ) from an underlying relationship ( blue ) between a dependent variable ( y ) and an independent variable ( x ).
⯁ Visualizing heteroscedasticity in a scatterplot against 100 random fitted values using Matlab:
⯁ The data sets in the Anscombe's quartet are designed to have approximately the same linear regression line (as well as nearly identical means, standard deviations, and correlations) but are graphically very different. This illustrates the pitfalls of relying solely on a fitted model to understand the relationship between variables.
⯁ The result of fitting a set of data points with a quadratic function:
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🥇 This is the world’s first ADX indicator with: Linear Regression for Forecasting 🥇_______________________________________________________________________
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🔮 Linear Regression: PineScript Technical Parameters 🔮
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Forecast Types:
• Flat: Assumes prices will remain the same.
• Linreg: Makes a 'Linear Regression' forecast for n periods.
Technical Information:
ta.linreg (built-in function)
Linear regression curve. A line that best fits the specified prices over a user-defined time period. It is calculated using the least squares method. The result of this function is calculated using the formula: linreg = intercept + slope * (length - 1 - offset), where intercept and slope are the values calculated using the least squares method on the source series.
Syntax:
• Function: ta.linreg()
Parameters:
• source: Source price series.
• length: Number of bars (period).
• offset: Offset.
• return: Linear regression curve.
This function has been cleverly applied to the RSI, making it capable of projecting future values based on past statistical trends.
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⯁ WHAT IS THE ADX❓
The Average Directional Index (ADX) is a technical analysis indicator developed by J. Welles Wilder. It measures the strength of a trend in a market, regardless of whether the trend is up or down.
The ADX is an integral part of the Directional Movement System, which also includes the Plus Directional Indicator (+DI) and the Minus Directional Indicator (-DI). By combining these components, the ADX provides a comprehensive view of market trend strength.
⯁ HOW TO USE THE ADX❓
The ADX is calculated based on the moving average of the price range expansion over a specified period (usually 14 periods). It is plotted on a scale from 0 to 100 and has three main zones:
• Strong Trend: When the ADX is above 25, indicating a strong trend.
• Weak Trend: When the ADX is below 20, indicating a weak or non-existent trend.
• Neutral Zone: Between 20 and 25, where the trend strength is unclear.
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⯁ ENTRY CONDITIONS
The conditions below are fully flexible and allow for complete customization of the signal.
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🔹 CONDITIONS TO BUY 📈
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• Signal Validity: The signal will remain valid for X bars .
• Signal Sequence: Configurable as AND or OR .
🔹 +DI > -DI
🔹 +DI < -DI
🔹 +DI > ADX
🔹 +DI < ADX
🔹 -DI > ADX
🔹 -DI < ADX
🔹 ADX > Threshold
🔹 ADX < Threshold
🔹 +DI > Threshold
🔹 +DI < Threshold
🔹 -DI > Threshold
🔹 -DI < Threshold
🔹 +DI (Crossover) -DI
🔹 +DI (Crossunder) -DI
🔹 +DI (Crossover) ADX
🔹 +DI (Crossunder) ADX
🔹 +DI (Crossover) Threshold
🔹 +DI (Crossunder) Threshold
🔹 -DI (Crossover) ADX
🔹 -DI (Crossunder) ADX
🔹 -DI (Crossover) Threshold
🔹 -DI (Crossunder) Threshold
🔮 +DI (Crossover) -DI Forecast
🔮 +DI (Crossunder) -DI Forecast
🔮 ADX (Crossover) +DI Forecast
🔮 ADX (Crossunder) +DI Forecast
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🔸 CONDITIONS TO SELL 📉
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• Signal Validity: The signal will remain valid for X bars .
• Signal Sequence: Configurable as AND or OR .
🔸 +DI > -DI
🔸 +DI < -DI
🔸 +DI > ADX
🔸 +DI < ADX
🔸 -DI > ADX
🔸 -DI < ADX
🔸 ADX > Threshold
🔸 ADX < Threshold
🔸 +DI > Threshold
🔸 +DI < Threshold
🔸 -DI > Threshold
🔸 -DI < Threshold
🔸 +DI (Crossover) -DI
🔸 +DI (Crossunder) -DI
🔸 +DI (Crossover) ADX
🔸 +DI (Crossunder) ADX
🔸 +DI (Crossover) Threshold
🔸 +DI (Crossunder) Threshold
🔸 -DI (Crossover) ADX
🔸 -DI (Crossunder) ADX
🔸 -DI (Crossover) Threshold
🔸 -DI (Crossunder) Threshold
🔮 +DI (Crossover) -DI Forecast
🔮 +DI (Crossunder) -DI Forecast
🔮 ADX (Crossover) +DI Forecast
🔮 ADX (Crossunder) +DI Forecast
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🤖 AUTOMATION 🤖
• You can automate the BUY and SELL signals of this indicator.
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⯁ UNIQUE FEATURES
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Linear Regression: (Forecast)
Signal Validity: The signal will remain valid for X bars
Signal Sequence: Configurable as AND/OR
Condition Table: BUY/SELL
Condition Labels: BUY/SELL
Plot Labels in the Graph Above: BUY/SELL
Automate and Monitor Signals/Alerts: BUY/SELL
Linear Regression (Forecast)
Signal Validity: The signal will remain valid for X bars
Signal Sequence: Configurable as AND/OR
Table of Conditions: BUY/SELL
Conditions Label: BUY/SELL
Plot Labels in the graph above: BUY/SELL
Automate & Monitor Signals/Alerts: BUY/SELL
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📜 SCRIPT : ADX Forecast
🎴 Art by : @Titans_Invest & @DiFlip
👨💻 Dev by : @Titans_Invest & @DiFlip
🎑 Titans Invest — The Wizards Without Gloves 🧤
✨ Enjoy!
______________________________________________________
o Mission 🗺
• Inspire Traders to manifest Magic in the Market.
o Vision 𐓏
• To elevate collective Energy 𐓷𐓏
MomentumBreak AI SwiftEdgeMomentumbreak AI SwiftEdge
Overview
This indicator combines two powerful concepts: Pivot Trendlines by HoanGhetti and the Squeeze Momentum Oscillator by AlgoAlpha. The goal of this mashup is to provide traders with a tool that identifies key trendline breakouts while simultaneously gauging market momentum through a dynamic gradient overlay. By integrating these two elements, the indicator offers a unique perspective on price action, helping traders spot high-probability breakout opportunities that align with momentum shifts.
How It Works
Pivot Trendlines:
The indicator uses HoanGhetti's Pivot Trendlines to identify pivot highs and lows based on user-defined settings (Pivot Length and Pivot Type).
Trendlines are drawn between these pivots, and breakouts are detected when the price crosses above (bullish) or below (bearish) the trendline.
Breakouts are visually highlighted with gradient boxes and an "AI: BREAK ⚡" label for clarity.
Squeeze Momentum Oscillator:
The Squeeze Momentum Oscillator calculates market momentum using a combination of volatility and price movement.
A dynamic midline (price_mid) is plotted, with its color indicating squeeze conditions (yellow for hypersqueeze, orange for normal squeeze, gray otherwise).
A gradient overlay is added above or below the midline to reflect momentum:
Green gradient for bullish momentum (vf > 0), placed below candles in an uptrend (close > price_mid) or above in a downtrend (close < price_mid).
Red gradient for bearish momentum (vf < 0), placed above candles in an uptrend or below in a downtrend.
The gradient's intensity increases as the price moves further from the midline, visually emphasizing momentum strength.
Breakout Confirmation:
Breakout signals are only generated when the momentum aligns with the breakout direction:
Bullish breakouts require bullish momentum (vf > 0).
Bearish breakouts require bearish momentum (vf < 0).
This alignment ensures that breakouts are more reliable and reduces false signals.
Default Settings
Pivot Length: 20 (determines the lookback period for identifying pivot points)
Pivot Type: Normal (can be set to "Fast" for more frequent pivots)
Repainting: True (trendlines may repaint as new pivots form; can be disabled)
Target Levels: False (optional horizontal levels at pivot points; can be enabled)
Extend: None (trendline extension; options: none, right, left, both)
Trendline Style: Dotted (options: dotted, dashed, solid)
Underlying Momentum Oscillator Length: 10
Swing Momentum Oscillator Length: 20
Squeeze Calculation Period: 14
Squeeze Smoothing Length: 7
Squeeze Detection Length: 14
Hyper Squeeze Detection Length: 5
Usage
This indicator is ideal for traders who want to combine trendline breakouts with momentum analysis:
Trendline Breakouts: Look for gradient boxes and "AI: BREAK ⚡" labels to identify confirmed breakouts. Bullish breakouts are marked with green boxes, and bearish breakouts with red boxes.
Momentum Confirmation: The gradient overlay (green for bullish, red for bearish) helps confirm the strength of the trend. Stronger gradients (less transparent) indicate stronger momentum.
Midline Crosses: Small triangles below (bullish) or above (bearish) candles indicate when the price crosses the dynamic midline, providing additional entry/exit signals.
Why This Combination?
The integration of Pivot Trendlines and Squeeze Momentum Oscillator creates a synergy that enhances trade decision-making:
Pivot Trendlines identify key structural levels in the market, making breakouts significant events.
The Squeeze Momentum Oscillator adds a momentum filter, ensuring that breakouts are supported by underlying market strength.
Together, they provide a more holistic view of price action, filtering out low-probability breakouts and highlighting opportunities where trendline breaks align with strong momentum.
Notes
This indicator does not use request.security() or barmerge.lookahead_on, so there is no risk of lookahead bias.
The script is designed to provide clear visual cues without making unrealistic claims about performance. It is intended as a tool for analysis, not a guaranteed trading system.
High_Low levelsThis indicator plots the Previous Day and Premarket High and Low Levels. Can be configured to change colors and line style.
NuEdge EMA Retest StrategyThis strategy is designed for the 2-minute chart and performs best on highly liquid ETFs like SPY, QQQ, and IWM.
It combines:
PDH/PDL breaks (Previous Day High/Low)
13/48/200 EMA trend filtering
Pullback-to-EMA entries
R:R projections and dynamic visual coaching
Time-based filters (default: 9:30 AM to 4:00 PM EST)
Optional day filters (e.g., exclude Mondays or Fridays)
⚠️ Built for momentum conditions — not ideal during chop, premarket, or low-volume sessions.
📈 Optimized for SPY, QQQ, IWM, and also performs well on:
TSLA
AAPL
AMD
META
(All using 2-minute timeframe)
Toggles available for:
Entry/TP markers
R:R visualization
Session restrictions
High Probability FVG Detector (MTF)Utilizes the logic behind why Fair Value Gaps exist in the first place; momentum leaving orders partially filled, therefore leaving resting liquidity that still needs to be filled. The more orders remaining, the higher the likelihood of price revisiting. However, there are high quality fair value gaps and low quality fair value gaps. High quality FVG's (the one's most likely to act as support/resistance) would likely be formed during high liquidity. This creates a more volume saturated zone. Saturation meaning remaining orders at each tick level, or as close as possible. Low quality FVG's would be one's formed during low liquidity, which price movement range is more related to gaps in the order book (thin ladder) rather than volume based momentum. Due to the limitations of Pine Script I don't have access to DOM/Order Book functionality but this indicator will make use of volume. Here is the executive summary:
FVG Detection: It scans the price action for the specific three-candle pattern that defines a bullish or bearish FVG.
Multi-Timeframe (MTF) Capability: It allows you to detect FVGs on a timeframe different from the one currently displayed on your chart (e.g., find 1-hour FVGs while looking at a 5-minute chart).
Probability Filtering: It attempts to classify FVGs based on the conditions during their formation.
Volume Filter: Checks if the FVG was formed with volume significantly higher than average (indicating strong participation).
Candle Range Filter: Checks if the FVG was formed by a candle with a significantly larger range than average (using ATR, indicating strong momentum/volatility).
Differentiated Coloring: It visually distinguishes between different types of FVGs using different colors.
High Probability: FVGs that meet the enabled Volume and/or Range filter criteria.
Low Volume: FVGs that specifically fail the Volume filter (when enabled), potentially indicating weaker conviction.
Regular: FVGs that don't meet any specific filter criteria (if the option to show them is enabled).
Mitigation Tracking: It monitors if the price later trades back into the identified FVG zone (based on either the wick touching or the body closing within the zone, selectable by the user) and changes the color of the FVG box once this happens.
Visual Display: It draws colored boxes representing the price range of the FVGs, optionally extending unmitigated boxes into the future for easy visibility.
In essence, the indicator aims to automate the detection of these price inefficiencies, filter them based on volume and momentum characteristics, and track when they are revisited by price, providing traders with visual cues about potentially significant support/resistance zones and/or target zones for trading into.
AAPL Covered Call + CSP Alerts (Enhanced)This is a work-in-progress tool designed to help identify ideal setups for selling covered calls (CC) and cash-secured puts (CSP) on Apple (AAPL) using price levels, volume confirmation, and moving average context.
📈 What It Does
🔴 CC SELL Alert
Triggers when:
Price breaks above a custom resistance level
A volume spike confirms momentum
Designed to catch strong upside pushes where call premiums are rich.
🟠 CC WATCH Alert
Triggers when:
Price is near the 200-day MA
Volume is elevated but there’s no breakout yet
A pre-alert to watch for potential call-selling setups near resistance.
🟢 CSP BUY Alert
Triggers when:
Price drops below a custom support level
A volume flush signals potential short-term capitulation
Meant to time CSP entries when downside panic sets in.
⚙️ Adjustable Settings
Input Description
ccPriceTrigger Resistance level to trigger CC SELL
ccVolumeMultiplier Volume threshold for CC confirmation
maProximityBuffer Distance from 200 MA to trigger WATCH
cspSupportLevel Support level to trigger CSP BUY
cspVolumeMultiplier Volume threshold for CSP confirmation
🧭 Timeframe + Expiration Guidelines
Timeframe Use Case Recommended Option Expirations
1H Primary strategy view 21–30 days to expiration
15m Scalping / fast alerts 7–14 DTE (more sensitive)
Daily Swing or macro setups 30–45+ DTE for stability
📣 Alerts (How-To)
This script supports TradingView alerts — just right-click any chart and choose:
"Add Alert" → Select one of the following conditions:
"AAPL CC SELL Alert"
→ Triggers when breakout and volume spike align
"AAPL CC WATCH Alert"
→ Triggers when price approaches 200 MA with volume
"AAPL CSP Alert"
→ Triggers when support breaks with high volume
These alerts are great for traders who want real-time notification when premium-selling setups form — whether you're at your desk or mobile.
🧠 Strategy Context
Built after months of active trading on AAPL, this script distills real trading lessons from volume-based breakouts and support flushes into a signal system for timing covered call and CSP entries. We found these triggers especially reliable when paired with option delta targeting and open interest zones.
Feel free to clone, fork, or improve. Suggestions welcome — this is a living tool.
VWAP Bounce + TP/SL ZonesWhat’s New in This Script:
Automatic Take Profit (TP) and Stop Loss (SL) levels based on:
Your entry candle
A customizable risk-to-reward ratio
Visual dotted lines for TP and SL
Optional disable signals if bounce is “too far” above VWAP
MSS, BOS, and FVG Trend ConfirmationSwing High and Swing Low Detection:
We're identifying the swing high and swing low using a length parameter that helps us find significant peaks and troughs. This is essential for both the MSS and BOS checks.
Market Structure Shift (MSS):
We check if the recent swing high is greater than the previous swing high (for an uptrend) and if the recent swing low is higher than the previous swing low. The same logic applies for a downtrend.
Break of Structure (BOS):
The script checks if the current price breaks above the last swing high for an uptrend or below the last swing low for a downtrend.
Fair Value Gap (FVG):
A FVG is detected when there's a significant imbalance. The script looks for cases where the price has moved sharply, and there might be a gap to fill.
Candle Color:
If MSS, BOS, and FVG all align to confirm an uptrend, the candle will turn blue.
If all three indicators align to confirm a downtrend, the candle will turn grey.
Signals:
For visual confirmation, we plot shapes above or below bars indicating when the uptrend or downtrend is confirmed.
True Seasonal Pattern [tradeviZion]True Seasonal Pattern: Uncover Hidden Market Cycles
Markets have rhythms and patterns that repeat with surprising regularity. The True Seasonal Pattern indicator reveals these hidden cycles across different timeframes, helping you anticipate potential market movements based on historical seasonal tendencies.
What This Indicator Does
The True Seasonal Pattern analyzes years of historical price data to identify recurring seasonal trends. It then plots these patterns on your chart, showing you both the historical pattern and future projection based on past seasonal behavior.
Automatic Timeframe Detection: Works with Monthly, Weekly, and Daily charts
Historical Pattern Analysis: Analyzes up to 100 years of data (customizable)
Future Projection: Projects the seasonal pattern ahead on your chart
Smart Smoothing: Applies appropriate smoothing based on your timeframe
How to Use This Indicator
Add the indicator to a Daily, Weekly, or Monthly chart (not designed for intraday timeframes)
The indicator automatically detects your chart's timeframe
The blue line shows the historical seasonal pattern
Watch for potential turning points in the pattern that align with other technical signals
Seasonal patterns work best as a supporting factor in your analysis, not as standalone trading signals. They are particularly effective in markets with well-established seasonal influences.
Best Applications
Futures Markets: Commodities and futures often show strong seasonal tendencies due to production cycles, weather patterns, and economic factors
Stock Indices: Many stock markets demonstrate regular seasonal patterns (like the "Sell in May" phenomenon)
Individual Stocks: Companies with seasonal business cycles often show predictable price patterns
Practical Applications
Identify potential turning points based on historical seasonal patterns
Plan entries and exits around seasonal tendencies
Add seasonal context to your existing technical analysis
Understand why certain months or periods might show consistent behavior
Pro Tip: For best results, use this tool on instruments with at least 5+ years of historical data. Longer timeframes often reveal more reliable seasonal patterns.
Important Notes
This indicator works best on Daily, Weekly, and Monthly timeframes - not intraday charts
Seasonal patterns are tendencies, not guarantees
Always combine seasonal analysis with other technical tools
Past patterns may not repeat exactly in the future
// Sample of the seasonal calculation approach
float yearHigh = array.max(currentYearHighs)
float yearLow = array.min(currentYearLows)
// Calculate seasonality for each period
for i = 0 to array.size(currentYearCloses) - 1
float periodClose = array.get(currentYearCloses, i)
if not na(periodClose) and yearHigh != yearLow
float seasonality = (periodClose - yearLow) / (yearHigh - yearLow) * 100
I developed this indicator to help traders incorporate seasonal analysis into their trading approach without the complexity of traditional seasonal tools. Whether you're analyzing agricultural commodities, energy futures, or stock indices, understanding the seasonal context can provide valuable insights for your trading decisions.
Remember: Markets don't always follow seasonal patterns, but when they do, being aware of these tendencies can give you a meaningful edge in your analysis.
Dskyz (DAFE) GENESIS Dskyz (DAFE) GENESIS: Adaptive Quant, Real Regime Power
Let’s be honest: Most published strategies on TradingView look nearly identical—copy-paste “open-source quant,” generic “adaptive” buzzwords, the same shallow explanations. I’ve even fallen into this trap with my own previously posted strategies. Not this time.
What Makes This Unique
GENESIS is not a black-box mashup or a pre-built template. It’s the culmination of DAFE’s own adaptive, multi-factor, regime-aware quant engine—built to outperform, survive, and visualize live edge in anything from NQ/MNQ to stocks and crypto.
True multi-factor core: Volume/price imbalances, trend shifts, volatility compression/expansion, and RSI all interlock for signal creation.
Adaptive regime logic: Trades only in healthy, actionable conditions—no “one-size-fits-all” signals.
Momentum normalization: Uses rolling, percentile-based fast/slow EMA differentials, ALWAYS normalized, ALWAYS relevant—no “is it working?” ambiguity.
Position sizing that adapts: Not fixed-lot, not naive—not a loophole for revenge trading.
No hidden DCA or pyramiding—what you see is what you trade.
Dashboard and visual system: Directly connected to internal logic. If it’s shown, it’s used—and nothing cosmetic is presented on your chart that isn’t quantifiable.
Inputs and What They Mean (Read Carefully)
📊 Main Signal Inputs
Maximum Raw Score: How many distinct factors can contribute to regime/trade confidence (default 4). If you extend the quant logic, increase this.
RSI Length / Min RSI for Shorts / Max RSI for Longs: Fine-tunes how “overbought/oversold” matters; increase the length for smoother swings, tighten floors/ceilings for more extreme signals.
⚡ Regime & Momentum Gates
Min Normed Momentum/Score (Conf): Raise to demand only the strongest trends—your filter to avoid algorithmic chop.
🕒 Volatility & Session
ATR Lookback, ATR Low/High Percentile: These control your system’s awareness of when the market is dead or ultra-volatile. All sizing and filter logic adapts in real time.
Trading Session (hours): Easy filter for when entries are allowed; default is regular trading hours—no surprise overnight fills.
📊 Sizing & Risk
Max Dollar Risk / Base-Max Contracts: All sizing is adaptive, based on live regime and volatility state—never static or “just 1 contract.” Control your max exposures and real $ risk.
🔄 Exits & Scaling
Stop/Trail/Scale multipliers: You choose how dynamic/flexible risk controls and profit-taking need to be. ATR-based, so everything auto-adjusts to the current market mode.
Visuals That Actually Matter
Dashboard (Top Right): Shows only live, relevant stats: scoring, status, position size, win %, win streak, total wins—all from actual trade engine state (not “simulated”).
Watermark (Bottom Right): Momentum bar visual is always-on, regime-aware, reflecting live regime confidence and momentum normalization. If the bar is empty, you’re truly in no-momentum. If it glows lime, you’re riding the strongest possible edge.
*No cosmetics, no hidden code distractions.
Why It Wins
While others put out “AI-powered” strategies with little logic or soul, GENESIS is ruthlessly practical. It is built around what keeps traders alive:
- Context-aware signals, not just patterns
- Tight, transparent risk
- Inputs that adapt, not confuse
- Visuals that clarify, not distract
- Code that runs clean, efficient, and with minimal overfitting risk (try it on QQQ, AMD, SOL, etc. out of the box)
Disclaimer (for TradingView compliance):
Trading is risky. Futures, stocks, and crypto can result in significant losses. Do not trade with funds you cannot afford to lose. This is for educational and informational purposes only. Use in simulation/backtest mode before live trading. No past performance is indicative of future results. Always understand your risk and ownership of your trades.
Personal Note to Mods and Traders:
Yes, this statement is DIFFERENT, because this script IS different. If you see this taken down for some technicality (charting labels etc.), know I will fix, adapt, and repost until the system and its truth are visible to the community.
This will not be my last—my goal is to keep raising the bar until DAFE is a brand or I’m forced to take this private.
Use with discipline, use with clarity, and always trade smarter.
— Dskyz, powered by DAFE Trading Systems.
LeV Bull/Bear TP/SL v2🚀A utiliser pour du scalp ou du swing, utiliser le avec le RSI, MACD, ADX et le CHOP
ZONE ZERO📊 Overview:
The "ZONE ZERO" indicator is a multi-functional trading overlay built to enhance price action analysis. It overlays:
- OHLC lines from a user-defined higher timeframe
- EMAs and SMAs for trend direction
- Two anchored VWAPs with customizable periods
- Custom candle coloring based on body structure ("stacking")
- This is ideal for traders who analyze confluence zones, trend strength, and want contextual
guidance from higher timeframes.
🛠️ User Inputs and Configuration
✅ Primary Inputs:
- Lookback (lb): Determines which historical bar from the higher timeframe (HTF) is referenced (e.g., 0 = current HTF bar, 1 = previous).
- Timeframe (tf): Selects the higher timeframe used to extract OHLC data.
🎨 Line Customization Inputs:
- Each HTF price level (open, high, low, close, midpoint) can be customized via:
- Line style (Solid, Dashed, Dotted)
📈 EMA Inputs:
- EMA 1: Fast EMA (default: 8)
- EMA 2: Medium EMA (default: 15)
- EMA 3: Long EMA (default: 200)
🧮 SMA Inputs:
- 4 daily SMAs (20, 50, 100, 200) calculated from the close price by default.
⚖️ VWAP Anchoring Options:
- Two anchored VWAPs, each with independent anchor options:
Session
Week
Month
Quarter
Year
📏 Technical Logic and Features
🔹 HTF OHLC + Midpoint Lines:
- Fetches open, high, low, close from the higher timeframe using request.security().
- Calculates the midpoint as (high + low)/2.
- Plots persistent horizontal lines for each level starting from the HTF bar timestamp.
- Each line is drawn dynamically from the HTF bar's origin to its end using line.set_xy1() and line.set_xy2().
🔸 EMA Plotting:
- EMAs are plotted on the current chart using ta.ema().
- Provides a real-time view of market momentum and directional bias.
🔸 Daily SMAs on Intraday Charts:
- Daily timeframe SMAs are fetched and plotted even on intraday charts using request.security().
- Allows higher timeframe trend overlays during intraday trading.
🔸 Anchored VWAPs (Volume-Weighted Average Price):
- VWAPs are calculated using (high + low)/2 instead of the default hlc3, providing a price-action centric view.
- Reset logic is based on the selected anchor (e.g., session reset, weekly, etc.).
- VWAP line color dynamically changes:
- Colors 1/2 when price is above VWAP
- Colors 3/4 when price is below
- This gives instant visual feedback on whether price is trading with or against volume-weighted trend direction.
🔸 Custom Candle Coloring (Stacked Candle Logic):
- Bullish Stacked Candle:
Current open is above midpoint of previous body
Current close is above open
- Bearish Stacked Candle:
Current open is below midpoint of previous body
Current close is below open
These conditions highlight strong continuation candles, and are colored:
- Green for bullish stacking
- Red for bearish stacking
- All other candles are not affected.
⚠️ Warning System
A smart warning label appears if the user selects a lower timeframe than the chart's resolution (e.g., selecting 1H on a daily chart), which can cause errors in data visibility.
✅ Best Use Cases:
- Intraday traders seeking HTF context
- Swing traders wanting EMA + VWAP confluence
- Price action traders spotting structure-based momentum
- Scalpers using stacked candle setups in combination with VWAP/EMA
Super Target KingSuper Target King
This Indicator provided Targets as entry price, Stop loss, TP1,TP2,TP3 and TP4
including table multi time frame for rsi, macd, ma, vloume, and buy sell signals
Buy/Sell Signal - RSI + EMA + MACDSignal 'Buy' if all of the following three conditions are true
Rsi crosses above 55
Ema 9 crosses over ema 21
Macd histogram shows second green on
Signal 'Sell' if all of the following three conditions are true
Rsi crosses below 45
Ema 9 crosses below Ema 21
Macd histogram shows second red on
Impulse-Momentum EngineThe Impulse-Momentum Engine is a minimalistic yet powerful tool that detects price shifts driven by strong breakout impulses and synchronized momentum. Designed for traders who value clean signals, visual clarity, and responsive alerts.
Core Features:
• Impulse Trend Detection using ATR-based dynamic breakouts
• Momentum Filter with zero-lag adaptive logic
• Background Highlighting to visualize current trend state
• Signal Arrows and Labels for immediate action
• Persistent Trend State with colored background
• Heikin Ashi–friendly logic for better candle structure
• Fully configurable input settings
• No repainting; works on all timeframes and assets
Customization Options:
• Impulse Window — sets the sensitivity for impulse detection (default: 20)
• ATR Length — controls the ATR smoothing period (default: 100)
• ATR Multiplier — adjusts the breakout strength threshold (default: 1.0)
How to Use:
• A BUY signal appears when impulse, momentum, and trend synchronization all align bullish
• A SELL signal is triggered under bearish alignment
• Background changes color based on current trend regime
• Works best when applied to Heikin Ashi candles
• Tune the new inputs to match your trading style — shorter impulse window for scalping, longer for swing trades
Best For:
Scalpers, swing traders, and anyone who prefers structured and clean directional signals with minimal noise
