ATR Trailing Stop with ATR Targets [v6]What the Indicator Does
This custom TradingView indicator is designed for active traders who want to automate and visualize their trailing stop management and target setting, using true market volatility. It combines the Average True Range (ATR) with dynamic market structure logic to:
Trail a stop-loss behind major swings in real time, using 2×ATR (adjustable) from the highest high in uptrends or the lowest low in downtrends.
Flip trading bias between bullish and bearish when the stop is breached.
Identify and plot three profit targets (at 1, 2, and 3 ATR from the breakout/flip point) after every stop-flip, helping traders scale out or set take-profits objectively.
Maintain a visible presence on your chart every bar to avoid indicator errors, with color and labeling for clear distinction between long/short phases.
How the Indicator Works
1. ATR Calculation
ATR Period and Multiplier: You select your preferred ATR length (default is 14 bars) and a multiplier (default is 2.0).
Volatility Adjustment: ATR measures the average "true" bar range, so the trailing stop and targets adapt to current volatility.
2. Trailing Stop Logic
Uptrend (bullish bias): The indicator tracks the highest high made since the last bearish-to-bullish flip and sets the stop at - .
The stop only raises (never lowers) during an uptrend, protecting gains in strong moves.
Downtrend (bearish bias): Tracks the lowest low made since the last bullish-to-bearish flip, with stop at + .
The stop only lowers (never raises) in a downtrend.
Flip Point: If price closes through the trailing stop, the current bias “flips,” and the logic reverses (bullish to bearish or vice versa). At the new close, flip price and bar index are stored for target calculation.
3. ATR Targets after Flip
After each stop flip:
Three targets—based on the new close price—are calculated and plotted:
Long flip (new bull bias): Target1 = close + 1×ATR, Target2 = close + 2×ATR, Target3 = close + 3×ATR.
Short flip (new bear bias): Target1 = close - 1×ATR, Target2 = close - 2×ATR, Target3 = close - 3×ATR.
These targets help with scaling out, partial profit-taking, or setting automated orders.
4. Visual Feedback
Trailing stop line: Green for long bias, red for short bias.
Targets: Distinct color-coded circles at 1, 2, 3 ATR levels from the most recent flip.
Flip Labels: Mark the bar and price where bias flipped (“Long Flip” or “Short Flip”) for quick pattern recognition.
Subtle background shading: Ensures TradingView's requirement for “indicator output every bar.”
How to Use This Indicator
Parameter Setup
ATR Period and Multiplier: Adjust to match the timeframe and volatility of your instrument.
Lower periods/multipliers for short-term/volatile trading.
Higher values for smoother signals or higher timeframes.
Starting Trend: Set to match the expected initial bias if the instrument has strong trend characteristics.
Trading Application
1. Daily Bias Approach
Establish your bias in line with your trading plan (e.g., only trade long if price is above the previous day's high, short below the previous day's low).
Only look for trades in the indicator's current bias direction, as expressed by the stop and background color.
2. Entry
Use the indicator as a real-time confirmation or trailing stop for your entries.
Breakout: Enter when price establishes the current bias, using the trailing stop as your risk level.
Reversal: Wait for a bias flip after an extended move; enter in the direction of the new bias.
VWAP Rebound: Combine with a VWAP bounce—enter only if the indicator bias supports your direction.
3. Exits/Targets
Trailing stop management: Move your stop according to the plotted line; exit if your stop is hit.
Profit-taking: Scale out or take profits as price approaches each ATR-based target.
Use the dynamic labeling to identify reversal flips and reset your plan if stopped or the bias changes.
4. Market Context
Filter and frame setups by watching correlated indicators (DXY, VIX, AUDJPY, put/call ratio) and upcoming news; trade only in the daily bias direction for best consistency.
5. Practical Tips
Combine this indicator with your custom watchlist and alert settings to get notified on flips or targets.
Review the last label ("Long Flip"/"Short Flip") and targets to plan partial exits.
Remember: ATR adapts to volatility, so the stop and targets stay proportionate even when price action shifts.
Indicatori e strategie
Session Backgrounds (Asia, London, US) - Weekdays Onlythis is to mark asia, london, us session so we can easily see what is current session while trading
Support & Resistance ZonesAuto Support And Resistance Lines, This AI auto support and ressitance lines helps identify support and resitance
kinetic test123mattThe Nuclear Regulatory Commission (NRC) is not the kind of agency most Americans think about often.
In fact, there’s a decent chance you’ve never even heard of it outside of a few advanced social studies classes in high school or college.
The NRC was originally established back in 1975 as a successor to the United States Atomic Energy Commission. Then, just a few years later, in 1979, there was a partial meltdown in the Unit 2 reactor at the Three Mile Island Nuclear Generating Station.
That disaster was mercifully averted, but the event left a lasting impact on the still-developing agency…
Following Three Mile Island, the NRC was widely perceived as risk-averse. They developed a licensing process that could be counted among the most bureaucratic and byzantine in history.
Just securing the NRC’s approval for a new nuclear reactor could take years (in some cases over a decade) and cost hundreds of millions of dollars. And that’s before you even start breaking ground!
Bringing Georgia’s 3 and 4 reactor units at Plant Vogtle online was estimated to cost $14 billion at first. However, due to various delays in the approval process and subsequent contracting issues, costs ballooned to more than $30 billion, with a wait of 15 years.
Sounds like a nightmare, right?
Don’t worry — it gets worse!
So far, we’ve only been talking about large light-water reactors (LWRs). Perish the thought, but those are the kinds of reactors the NRC is actually optimized to work with.
Newer technologies, such as small modular reactors (SMRs) or molten salt reactors (MSRs), are evaluated on a case-by-case basis. And it just so happens that the NRC has neither the manpower nor the realistic expertise to evaluate these developments comprehensively.
That means even for the companies that can develop next-generation nuclear technology, they’re going to face a huge production bottleneck when it comes to the NRC approving the projects.
Hybrid Strategy with Position Control & Breakout Filter//@version=6
indicator('Hybrid Strategy with Position Control & Breakout Filter', overlay=true)
// === INPUTS ===
emaFastLen = input.int(8, 'Fast EMA')
emaSlowLen = input.int(21, 'Slow EMA')
rsiLen = input.int(14, 'RSI Length')
rsiOverbought = input.int(70, 'RSI Overbought')
rsiOversold = input.int(30, 'RSI Oversold')
macdFast = input.int(12, 'MACD Fast')
macdSlow = input.int(26, 'MACD Slow')
macdSignal = input.int(9, 'MACD Signal')
volatilityMultiplier = input.float(1.0, 'ATR Multiplier for Volatility Filter')
// === CALCULATIONS ===
emaFast = ta.ema(close, emaFastLen)
emaSlow = ta.ema(close, emaSlowLen)
rsi = ta.rsi(close, rsiLen)
= ta.macd(close, macdFast, macdSlow, macdSignal)
atr = ta.atr(14)
// === VOLATILITY FILTER ===
volatilityThreshold = ta.sma(atr, 14) * volatilityMultiplier
isVolatile = atr > volatilityThreshold
// === OPENING SPIKE LOGIC (first 15 mins of session only) ===
sessionStart = timestamp("America/New_York", year, month, dayofmonth, 9, 30)
first15Min = time >= sessionStart and time < sessionStart + 15 * 60 * 1000
openingBreakout = first15Min and close > open and ta.change(close) > atr * 1.5
// === POSITION TRACKING ===
var int position = 0 // 0 = no position, 1 = long, -1 = short
// === ENTRY CONDITIONS ===
longCondition = ((ta.crossover(emaFast, emaSlow) and rsi < rsiOverbought and macdLine > signalLine and isVolatile) or openingBreakout) and position != 1
shortCondition = ta.crossunder(emaFast, emaSlow) and rsi > rsiOversold and macdLine < signalLine and isVolatile and position != -1
// === EXIT CONDITIONS ===
exitLong = ta.crossunder(emaFast, emaSlow)
exitShort = ta.crossover(emaFast, emaSlow)
// === SIGNAL PLOTS ===
buySignal = longCondition
sellSignal = shortCondition
plotshape(buySignal, title='Buy Signal', location=location.belowbar, color=color.green, style=shape.triangleup, size=size.small, text='BUY')
plotshape(sellSignal, title='Sell Signal', location=location.abovebar, color=color.red, style=shape.triangledown, size=size.small, text='SELL')
// === STATE MANAGEMENT ===
if (longCondition)
position := 1
if (shortCondition)
position := -1
if (exitLong and position == 1)
position := 0
if (exitShort and position == -1)
position := 0
// === PLOT EMAs ===
plot(emaFast, color=color.orange, title='Fast EMA')
plot(emaSlow, color=color.blue, title='Slow EMA')
Hybrid Strategy with Position Control//@version=6
indicator('Hybrid Strategy with Position Control', overlay=true)
// === INPUTS ===
emaFastLen = input.int(8, 'Fast EMA')
emaSlowLen = input.int(21, 'Slow EMA')
rsiLen = input.int(14, 'RSI Length')
rsiOverbought = input.int(70, 'RSI Overbought')
rsiOversold = input.int(30, 'RSI Oversold')
macdFast = input.int(12, 'MACD Fast')
macdSlow = input.int(26, 'MACD Slow')
macdSignal = input.int(9, 'MACD Signal')
// === CALCULATIONS ===
emaFast = ta.ema(close, emaFastLen)
emaSlow = ta.ema(close, emaSlowLen)
rsi = ta.rsi(close, rsiLen)
= ta.macd(close, macdFast, macdSlow, macdSignal)
// === POSITION TRACKING ===
var int position = 0 // 0 = no position, 1 = long, -1 = short
// === ENTRY CONDITIONS ===
longCondition = ta.crossover(emaFast, emaSlow) and rsi < rsiOverbought and macdLine > signalLine and position != 1
shortCondition = ta.crossunder(emaFast, emaSlow) and rsi > rsiOversold and macdLine < signalLine and position != -1
// === EXIT CONDITIONS (Optional logic for reset) ===
exitLong = ta.crossunder(emaFast, emaSlow)
exitShort = ta.crossover(emaFast, emaSlow)
// === SIGNAL PLOTS ===
buySignal = longCondition
sellSignal = shortCondition
plotshape(buySignal, title='Buy Signal', location=location.belowbar, color=color.green, style=shape.triangleup, size=size.small, text='BUY')
plotshape(sellSignal, title='Sell Signal', location=location.abovebar, color=color.red, style=shape.triangledown, size=size.small, text='SELL')
// === STATE MANAGEMENT ===
if (longCondition)
position := 1
if (shortCondition)
position := -1
// Reset position if trend reverses
if (exitLong and position == 1)
position := 0
if (exitShort and position == -1)
position := 0
// === PLOT EMAs ===
plot(emaFast, color=color.orange, title='Fast EMA')
plot(emaSlow, color=color.blue, title='Slow EMA')
Price Volume Trend [sgbpulse]1. Introduction: What is Price Volume Trend (PVT)?
The Price Volume Trend (PVT) indicator is a powerful technical analysis tool designed to measure buying and selling pressure in the market based on price changes relative to trading volume. Unlike other indicators that focus solely on volume or price, PVT combines both components to provide a more comprehensive picture of trend strength.
How is it Calculated?
The PVT is calculated by adding or subtracting a proportional part of the daily volume from a cumulative total.
When the closing price rises, a proportional part of the daily volume (based on the percentage price change) is added to the previous PVT value.
When the closing price falls, a proportional part of the daily volume is subtracted from the previous PVT value.
If there is no change in price, the PVT value remains unchanged.
The result of this calculation is a cumulative line that rises when buying pressure is strong and falls when selling pressure dominates.
2. Why PVT? Comparison to Similar Indicators
While other indicators measure volume-price pressure, PVT offers a unique advantage:
PVT vs. On-Balance Volume (OBV):
OBV simply adds or subtracts the entire day's volume based on the closing direction (up/down), regardless of the magnitude of the price change. This means a 0.1% price change is treated the same as a 10% change.
PVT, on the other hand, gives proportional weight to volume based on the percentage price change. A trading day with a large price increase and high volume will impact the PVT significantly more than a small price increase with the same volume. This makes PVT more sensitive to trend strength and changes within it.
PVT vs. Accumulation/Distribution Line (A/D Line):
The A/D Line focuses on the relationship between the closing price and the bar's trading range (Close Location Value) and multiplies it by volume. It indicates whether the pressure is buying or selling within a single bar.
PVT focuses on the change between closing prices of consecutive bars, multiplying this by volume. It better reflects the flow of money into or out of an asset over time.
By combining volume with percentage price change, PVT provides deeper insights into trend confirmation, identifying divergences between price and volume, and spotting signs of weakness or strength in the current trend.
3. Indicator Settings (Inputs)
The "Price Volume Trend " indicator offers great flexibility for customization to your specific needs through the following settings:
Moving Average Type: Allows you to select the type of moving average used for the central line on the PVT. Your choice here will affect the line's responsiveness to PVT movements.
- "None" : No moving average will be displayed on the PVT.
- "SMA" (Simple Moving Average): A simple average, smoother, ideal for identifying longer-term trends in PVT.
- "SMA + Bollinger Bands": This unique option not only displays a Simple Moving Average but also activates the Bollinger Bands around the PVT. This is the recommended option for analyzing volatility and ranges using Bollinger Bands.
- "EMA" (Exponential Moving Average): An exponential average, giving more weight to recent data, responding faster to changes in PVT.
- "SMMA (RMA)" (Smoothed Moving Average): A smoothed average, providing extra smoothing, less sensitive to noise.
- "WMA" (Weighted Moving Average): A weighted average, giving progressively more weight to recent data, responding very quickly to changes in PVT.
Moving Average Length: Defines the number of bars used to calculate the moving average (and, if applicable, the standard deviation for the Bollinger Bands). A lower value will make the line more responsive, while a higher value will smooth it out.
PVT BB StdDev (Bollinger Bands Standard Deviation): Determines the width of the Bollinger Bands. A higher value will result in wider bands, making it less likely for the PVT to cross them. The standard value is 2.0.
4. Visual Aid: Current PVT Level Line
This indicator includes a unique and highly useful visual feature: a dynamic horizontal line displayed on the PVT graph.
Purpose: This line marks the exact level of the PVT on the most recent trading bar. It extends across the entire chart, allowing for a quick and intuitive comparison of the current level to past levels.
Why is it Important?
- Identifying Divergences: Often, an asset's price may be lower or higher than past levels, but the PVT level might be different. This auxiliary line makes it easy to spot situations where PVT is at a higher level when the price is lower, or vice-versa, which can signal potential trend changes (e.g., higher PVT than in the past while price is low could indicate strong accumulation).
- Quick Direction Indication: The line's color changes dynamically: it will be green if the PVT value on the last bar has increased (or remained the same) relative to the previous bar (indicating positive buying pressure), and red if the PVT value has decreased relative to the previous bar (indicating selling pressure). This provides an immediate visual cue about the direction of the cumulative momentum.
5. Important Note: Trading Risk
This indicator is intended for educational and informational purposes only and does not constitute investment advice or a recommendation for trading in any form whatsoever.
Trading in financial markets involves significant risk of capital loss. It is important to remember that past performance is not indicative of future results. All trading decisions are your sole responsibility. Never trade with money you cannot afford to lose.
Session HL + Candles + AMD (Nephew_Sam_)Session HL + Candles + AMD (Nephew_Sam_)
This indicator marks out intraday sessions summarized into single candles, with an additional option to mark out the HL of each session. Perfect for understanding AMD within a glance (accumulation-manipulation-distribution)
Features:
Session High/Low lines with customizable colors and labels
Optional session candles displayed on the right side of the chart
Timezone support for global traders
Customizable bull/bear candle colors
Works on timeframes up to 1 hour
Perfect for:
Identifying session liquidity levels
Tracking session ranges and breakouts
Multi-timeframe session analysis
ICT methodology traders
Settings:
Choose your timezone for accurate session detection
Toggle session candles and HL lines independently
Customize colors, line styles, and labels
Set maximum timeframe (up to 1 hour)
Oz SIGNAL PRO v6 is a powerful 15-minute trend-following indicator tailored for precision trading. It detects Break of Structure (BOS) and CHoCH signals with built-in volume confirmation and overlays premium/discount zones directly on the chart. The indicator includes:
🔹 Visual buy/sell labels at breakout points
🔸 Dynamic EMA and VWAP for trend filtering
🟩 Automatic support/resistance zones
🔔 Alert-ready for signal automation
Ideal for intraday traders seeking clean, high-confidence signals.
Upgrade-ready: Easily extend with FVGs, order blocks, liquidity sweeps & backtesting.
D15 Precision IndicatorD15 Precision Indicator
The D15 Precision Indicator is a high-accuracy intraday trading tool optimized for 15-minute charts. It identifies precise BUY and SELL signals only when all key conditions align:
✅ Price above/below EMA 21 & EMA 50
✅ Price above/below VWAP
✅ Price within predefined support/resistance zones
✅ Break of Structure (BOS) confirmed by pivot levels
✅ High-volume breakout candle
✅ Optional confirmation from previous candles for added precision
The script includes:
Clear visual arrows (BUY/SELL)
Dynamic background highlights for signals
Support/Resistance zone boxes
All key indicators plotted (EMA, VWAP, zones)
Ideal for disciplined traders aiming for 80%+ win rate through strict signal filtering and visual clarity.
CerberusFX Midnight Line UTC+2Daily Vertical Line UTC+2
Plots a vertical blue line spanning the full chart height at the start of each day at 00:00 UTC+2 (or the next available candle). Includes a label ("00:00 UTC+2") above the candle for clarity. Ideal for separating trading days on intraday charts in the UTC+2 timezone.
Crypto Trend StrengthCrypto Trend Strength Dashboard (11-Point System)
Description:
This indicator is a visually enhanced dashboard that evaluates 11 key technical signals to assess bullish momentum for crypto. Each condition is displayed in a easy reading table for quick interpretation and visual appeal.
Signals include:
Higher highs and higher lows
Price above SMA18 and SMA365
SMA180 > SMA365
Positive slope on SMA180 and SMA365
RSI trending upward
Ideal for traders who want a clean, at-a-glance summary of market strength without scanning multiple charts or indicators.
🧭 Harmonic Pressure Grid v1.0Purpose:
The Harmonic Pressure Grid helps traders visually identify hidden pressure zones formed by harmonic swing ratios, filtered through RSI momentum and volume surges. These zones often act as powerful support or resistance levels, marking areas of potential price exhaustion or reversal.
🧩 Core Features:
✅ Automatic Swing Detection – Uses pivot highs/lows to map market structure
✅ Harmonic Ratio Matching – Highlights areas where price swings match common harmonic ratios (0.618, 1.0, 1.272, 1.618)
✅ RSI Slope Filter – Confirms upward or downward momentum during pressure formation
✅ Volume Spike Confluence – Validates the strength of pressure using abnormal volume
✅ Background Pressure Zones – Color intensity reflects confluence strength (green for potential support, red for resistance)
📈 How to Use:
Look for green or red background zones on the chart.
Green = Bullish pressure (potential support)
Red = Bearish pressure (potential resistance)
Zone strength is based on RSI direction + volume spike.
Stronger zones = more likely to influence price
Use zones for:
Entry timing: Watch for reversal behavior or confirmation candles inside zones
Exit planning: Use as target areas for partial or full take profit
Confluence stacking: Combine with trendlines, Fibonacci, or your own price action logic
🔍 Tips:
Works best in swing or positional setups, not scalping
Can be combined with other indicators for added confirmation
Use on any timeframe to reveal hidden structural pressure
Tweak swing length or ratio tolerance for more or fewer zones
8 AM & 9 AM NY Candle HighlighterThis indicator helps me to know when the 9am NY candle has closed above or below the previous candle.
SOL Smart Alert SystemITECS built this to work alongside my AI agent and scripts to provide a robust notification/alert system that can be configured to best work with the current market conditions.
EMA Curl Strength+EMA Curl Strength+
Description:
This indicator provides a statistically normalized view of EMA slope momentum using Z-score transformation. By evaluating the rate of change of an EMA and comparing it against its historical behavior, the script highlights momentum shifts in a dynamic, adaptive way.
⸻
How It Works:
• Calculates the slope (percentage change) of a chosen EMA.
• Normalizes the slope using Z-score over a custom lookback period.
• Smooths the resulting signal and computes two signal lines for comparison.
• Assigns dynamic colors based on user-defined Z-score thresholds for mild, moderate, and strong momentum in both directions.
⸻
Visual Features:
• Gradient fill between the Z Curl Line and Signal 1 to highlight slope acceleration.
• Histogram showing the difference between the Z Curl Line and its signal.
• Optional signal crossover shapes between configurable pairs (e.g., Z Curl vs. Signal).
• Background highlights when the Z Curl Line exceeds ±2, indicating strong trending behavior.
⸻
Customization:
• Adjustable EMA length, smoothing lengths, signal lengths, histogram smoothing, and Z-score lookback.
• Separate color controls for:
• Z-score strength bands (mild/moderate/strong up/down)
• Histogram bars
• Signal lines
• Background highlight zones
• Crossover shapes
⸻
Use Cases:
• Momentum Confirmation: Confirm strength when Z Curl exceeds ±2 with matching background highlights.
• Trend Entry Timing: Look for trades when Z Curl crosses above or below the 0-line.
• Scalping: Capture quick directional moves when momentum accelerates.
• Trend Following: Use strong Z Curl values to confirm trade direction and filter sideways action.
• Divergence Detection: Spot divergences between price and Z Curl movement to anticipate reversals.
[Stya] Volume Buy vs Volume MA20This indicator focusing on volume movement, where the indicator track if the volume is bigger more than 120% compare to MA20 volume.
Expansion Triangle [TradingFinder] MegaPhone Broadening🔵 Introduction
The Expanding Triangle, also known as the Broadening Formation, is one of the key technical analysis patterns that clearly reflects growing market volatility, increasing indecision among participants, and the potential for sharp price explosions.
This pattern is typically defined by a sequence of higher highs and lower lows, forming within two diverging trendlines. Unlike traditional triangles that converge to a breakout point, the expanding triangle pattern becomes wider over time, leaving no precise apex for a breakout to occur.
From a price action perspective, the pattern represents a prolonged tug-of-war between buyers and sellers, where neither side has taken control yet. Each aggressive swing opens the door to new opportunities whether it's a trend reversal, range trading, or a momentum breakout. This dual nature makes the pattern highly versatile across market conditions, from exhausted trend ends to volatile consolidation zones.
The custom-built indicator for this pattern uses a combination of smart algorithms and detailed analysis of swing dynamics to automatically detect expanding triangles and highlight low-risk entry points.
Traders can use this tool to capitalize on high-probability setups from shorting near the upper edge of the structure with confirmation, to trading bearish breakouts during trend continuations, or entering long positions near the lower boundary during bullish reversals. The chart examples included in this article demonstrate these three highly practical trading scenarios in live market conditions.
A major advantage of this indicator lies in its structural filtering engine, which analyzes the behavior of each price leg in the triangle. With four adjustable filter levels from Very Aggressive, which highlights all potential patterns, to Very Defensive, which only triggers when price actually touches the triangle's trendlines the indicator ensures that only structurally sound and verified setups appear on the chart, reducing noise and false signals significantly.
Long Setup :
Short Setup :
🔵 How to Use
The pattern typically forms in conditions of heightened uncertainty and volatility, where price swings generate a series of higher highs and lower lows. The expanding triangle consists of three key legs bounded by diverging trendlines. The indicator intelligently analyzes each leg's direction and angle to determine whether a valid pattern is forming.
At the core of the indicator’s logic is its leg filtering system, which controls the quality of the pattern and filters out weak or noisy setups. Four structural filter modes are available to suit different trading styles and risk preferences. In Very Aggressive mode, filters are disabled, and the indicator detects any pattern purely based on the sequence of swing points.
This mode is ideal for traders who want to see everything and apply their own discretion.
In Aggressive mode, the indicator checks whether each new leg extends no more than twice the length of the previous one. If a leg overshoots excessively, the structure is invalidated.
In Defensive mode, the filter enforces a minimum movement requirement each leg must move at least 2% of the previous one. This prevents the formation of shallow, weak patterns that visually resemble triangles but lack substance.
The strictest setting, Very Defensive, combines all previous filters and additionally requires the price to physically touch the triangle’s trendlines before issuing a signal. This ensures that setups only appear when real market interaction with key structural levels has occurred, not based on assumptions or geometry alone. This mode is ideal for traders seeking maximum precision and minimal risk.
🟣 Bullish Setup
A bullish setup within the Expanding Triangle pattern occurs when price revisits the lower support boundary after a series of broad swings typically near the third leg of the formation. This area often represents a shift in momentum, where sellers begin to lose strength and buyers prepare to take control.
Ideally, the setup is accompanied by a bullish reversal candle (e.g. doji, pin bar, or engulfing) near the lower trendline. If the Very Defensive filter is active, the indicator will only issue a signal if price makes a confirmed touch on the trendline and reacts from that level. This significantly improves signal accuracy and filters out premature entries.
After confirmation, traders may choose to enter a long position on the bullish candle or shortly afterward. A logical stop-loss is placed just below the recent swing low within the pattern. The target can be set at or near the upper trendline, or projected using the full height of the triangle added to the breakout point. On higher timeframes, this reversal often marks the beginning of a strong uptrend.
🟣 Bearish Setup
A bearish setup forms when price climbs toward the upper resistance trendline, usually as the third leg completes. This is where buyers often begin to show exhaustion, and sellers step in with strength providing an ideal low-risk entry point for short positions.
As with the bullish setup, if the Candle Confirmation filter is enabled, the indicator will only show a signal when a bearish reversal candle forms at the point of contact. If Defensive or Very Defensive filters are also active, the setup must meet strict criteria of proportionate leg movement and an actual trendline touch to qualify.
Once confirmed, traders can enter on the reversal candle, placing a stop-loss slightly above the recent high. The target can be set at the lower trendline or calculated based on the triangle's full height, projected downward. This setup is particularly useful at the end of weak bullish trends or in volatile market tops.
🔵 Settings
🟣 Logic Settings
Pivot Period : Defines how many bars are analyzed to identify swing highs and lows. Higher values detect larger, slower structures, while lower values respond to faster patterns. The default value of 13 offers a balanced sensitivity.
Pattern Filter :
Very Aggressive : Detects all patterns based on point sequence with no structural checks.
Aggressive : Ensures each leg is no more than 2x the size of the previous one.
Defensive : Requires each leg to be at least 2% the size of the previous leg.
Very Defensive : The strictest level; only confirms patterns when price touches trendlines.
Candle Confirmation : When enabled, the indicator requires a valid confirmation candle (doji, pin bar, engulfing) at the interaction point with the trendline before issuing a signal. This reduces false entries and improves entry precision.
🟣 Alert Settings
Alert : Enables alerts for SSS.
Message Frequency : Determines the frequency of alerts. Options include 'All' (every function call), 'Once Per Bar' (first call within the bar), and 'Once Per Bar Close' (final script execution of the real-time bar). Default is 'Once per Bar'.
Show Alert Time by Time Zone : Configures the time zone for alert messages. Default is 'UTC'.
🔵 Conclusion
The Expanding Triangle pattern, with its wide structure and volatility-driven nature, represents chaos but also opportunity. For traders who can read its behavior, it provides some of the most powerful setups for reversals, breakouts, and range-based trades. While the pattern may seem messy at first glance, it is built on clear logic and when properly detected, it offers high-probability opportunities.
This indicator doesn’t just draw expanding triangles it intelligently evaluates their structural quality, validates price interaction through candle confirmation, and allows the trader to fine-tune the detection logic through adjustable filter levels. Whether you’re a reversal trader looking for a turning point, or a breakout trader hunting momentum, this tool adapts to your strategy.
In volatile or uncertain markets, where fakeouts and sudden shifts are common, this indicator can become a cornerstone of your trading system helping you turn volatility into structured, high-quality opportunities.
Orthogonal Projections to Latent Structures (O-PLS)Version 0.1
Orthogonal Projections to Latent Structures (O-PLS) Indicator for TradingView
This indicator, named "Orthogonal Projections to Latent Structures (O-PLS)", is designed to help traders understand the relevance or predictive power of various market variables on the future close price of the asset it's applied to. Unlike standard correlation coefficients that show a simple linear relationship, O-PLS aims to separate variables into "predictive" (relevant to Y) and "orthogonal" (irrelevant noise) components. This Pine Script indicator provides a simplified proxy of the relevance score derived from O-PLS principles.
Purpose of the Indicator
The primary purpose of this indicator is to identify which technical factors (such as price, volume, and other indicators) have the strongest relationship with the future price movement of the current trading instrument. By providing a "relevance score" for each input variable, it helps traders focus on the most influential data points, potentially leading to more informed trading decisions.
Inputs
The indicator offers the following user-definable inputs:
* **Lookback Period:** This integer input (default: 100, min: 10, max: 500) determines the number of past bars used to calculate the relevance scores for each variable. A longer lookback period considers more historical data, which can lead to smoother, less reactive scores but might miss recent shifts in variable importance.
* **External Asset Symbol:** This symbol input (default: `BINANCE:BTCUSDT`) allows you to specify an external asset (e.g., `BINANCE:ETHUSDT`, `NASDAQ:TSLA`) whose close price will be included in the analysis as an additional variable. This is useful for cross-market analysis to see how other assets influence the current chart.
* **Plot Visibility Checkboxes (e.g., "Plot: Open Price Relevance", "Plot: Volume Relevance", etc.):** These boolean checkboxes allow you to toggle the visibility of individual relevance score plots on the chart, helping to declutter the display and focus on specific variables.
Outputs
The indicator provides two main types of output:
Relevance Score Plots: These are lines plotted in a separate pane below the main price chart. Each line corresponds to a specific market variable (Open Price, Close Price, High Price, Low Price, Volume, various RSIs, SMAs, MFI, and the External Asset Close). The value of each line represents the calculated "relevance score" for that variable, typically scaled between 0 and 10. A higher score indicates a stronger predictive relationship with the future close price.
Sorted Relevance Table : A table displayed in the top-right corner of the chart provides a clear, sorted list of all analyzed variables and their corresponding relevance scores. The table is sorted in descending order of relevance, making it easy to identify the most influential factors at a glance. Each variable name in the table is colored according to its plot color, and the external asset's name is dynamically displayed without the "BINANCE:" prefix.
How to Use the Indicator
1. **Add to Chart:** Apply the "Orthogonal Projections to Latent Structures (O-PLS)" indicator to your desired trading chart (e.g., ETH/USDT).
2. **Adjust Inputs:**
* **Lookback Period:** Experiment with different lookback periods to see how the relevance scores change. A shorter period might highlight recent correlations, while a longer one might show more fundamental relationships.
* **External Asset Symbol:** If you trade BTC/USDT, you might add ETH/USDT or SPX as an external asset to see its influence.
3. **Analyze Relevance Scores:**
* **Plots:** Observe the individual relevance score plots over time. Are certain variables consistently high? Do scores change before significant price moves?
* **Table:** Refer to the sorted table on the latest confirmed bar to quickly identify the top-ranked variables.
4. **Incorporate into Strategy:** Use the insights from the relevance scores to:
* Prioritize certain indicators or price actions in your trading strategy. For example, if "Volume" has a high relevance score, it suggests volume confirmation is critical for future price moves.
* Understand the influence of inter-market relationships (via the External Asset Close).
How the Indicator Works
The indicator works by performing the following steps on each bar:
1. **Data Fetching:** It gathers historical data for various price components (open, high, low, close), volume, and calculated technical indicators (SMA, RSI, MFI) for the specified `lookback` period. It also fetches the close price of an `External Asset Symbol` .
2. **Standardization (Z-scoring):** All collected raw data series are standardized by converting them into Z-scores. This involves subtracting the mean of each series and dividing by its standard deviation . Standardization is crucial because it brings all variables to a common scale, preventing variables with larger absolute values from disproportionately influencing the correlation calculations.
3. **Correlation Calculation (Proxy for O-PLS Relevance):** The indicator then calculates a simplified form of correlation between each standardized input variable and the standardized future close price (Y variable) . This correlation is a proxy for the relevance that O-PLS would identify. A high absolute correlation indicates a strong linear relationship.
4. **Relevance Scaling:** The calculated correlation values are then scaled to a range of 0 to 10 to provide an easily interpretable "relevance score" .
5. **Output Display:** The relevance scores are presented both as time-series plots (allowing observation of changes over time) and in a real-time sorted table (for quick identification of top factors on the current bar) .
How it Differs from Full O-PLS
This indicator provides a *simplified proxy* of O-PLS principles rather than a full, mathematically rigorous O-PLS model. Here's why and how it differs:
* **Dimensionality Reduction:** A full O-PLS model would involve complex matrix factorization techniques to decompose the independent variables (X) into components that are predictive of Y and components that are orthogonal (unrelated) to Y but still describe X's variance. Pine Script's array capabilities and computational limits make direct implementation of these matrix operations challenging.
* **Orthogonal Components:** A true O-PLS model explicitly identifies and removes orthogonal components (noise) from the X data that are unrelated to Y. This indicator, in its simplified form, primarily focuses on the direct correlation (relevance) between each X variable and Y after standardization, without explicitly modeling and separating these orthogonal variations.
* **Predictive Model:** A full O-PLS model is ultimately a predictive model that can be used for regression (predicting Y). This indicator, however, focuses solely on **identifying the relevance/correlation of inputs to Y**, rather than building a predictive model for Y itself. It's more of an analytical tool for feature importance than a direct prediction engine.
* **Computational Intensity:** Full O-PLS involves Singular Value Decomposition (SVD) or Partial Least Squares (PLS) algorithms, which are computationally intensive. The indicator uses simpler statistical measures (mean, standard deviation, and direct correlation calculation over a lookback window) that are feasible within Pine Script's execution limits.
In essence, this Pine Script indicator serves as a practical tool for gaining insights into variable relevance, inspired by the spirit of O-PLS, but adapted for the constraints and common use cases of a TradingView environment.
🌀 Vortex Trap OscillatorVortex Oscillator Core
Calculates the difference between upward and downward directional price flow.
Spikes in either direction highlight strong directional bias or potential exhaustion.
Trap Signal Logic
A Bullish Trap is signaled when:
Vortex turns strongly negative (false bearish pressure)
There's a volume burst
Buy/sell tension favors buyers
An RSI bullish divergence is detected
A Bearish Trap is signaled under the inverse conditions.
Volume Burst Filter
Compares current volume to a moving average baseline.
Triggers only when volume surges past a dynamic threshold.
Tension Filter
Compares smoothed buy and sell volumes.
Confirms whether aggressive participants are truly in control.
RSI Divergence Filter
Uses pivot-based divergence detection to validate exhaustion signals.
Adds another layer of trap confirmation.
📈 How To Use:
Overlay Mode: Use alongside price action to visually confirm trap signals.
Entry Timing:
Look for trap markers (▲ for bullish traps below bar, ▼ for bearish traps above bar).
Use confirmation from your own system (e.g. candle patterns, support/resistance).
Exit or Fade Strategy:
Consider fading the trap (trading against the move) if it aligns with higher-timeframe confluence.
Watch for reversal candles near trap zones.
🛠 Settings Tips:
Adjust Vortex Period to control trap sensitivity (shorter = more signals, longer = smoother).
Use Volume Burst Threshold to filter out noise on low-volume assets.
RSI Divergence Depth can be increased on higher timeframes for cleaner divergence reads.
🧠 Best Used For:
Detecting false breakouts
Catching mean reversions after stop hunts
Identifying momentum traps in volatile markets
Filtering aggressive moves that lack volume confirmation
RSI with 2-Pole FilterA momentum indicator that tells you if a stock is overbought or oversold.
RSI goes between 0 and 100.
70 = overbought (might fall)
<30 = oversold (might rise)
It often looks jagged or choppy on volatile days.
Think of this filter like a momentum smoother:
It still follows RSI closely,
But it doesn’t react to every little jiggle in price,
Which helps avoid false signals.
it keeps track of:
The current RSI,
The last 2 RSI values (inputs), and
The last 2 outputs (filtered RSIs).
It uses feedback to shape the output based on previous values, making it smoother than a simple moving average.
NFP RangesPlots the NFP daily ranges for NFP days. Includes extended hours ranges when the time frame is sub 1D, otherwise, only the daily range is taken.
NFP Dates are pre-populated through 2029 and historically through 2022. Will update script to include farther-out dates before they become necessary.
