Chandelier Exit Trend Navigator [MarkitTick]💡 A trend-following overlay that tracks directional shifts using a volatility-adaptive channel (Chandelier Exit methodology) and converts each flip into a fully structured trade plan — entry, stop-loss, and three R-multiple take-profit levels — displayed directly on the chart alongside a live status dashboard.
✨ Originality and Utility
While the Chandelier Exit concept itself (anchoring a trailing stop to the highest high or lowest low over a lookback, offset by a multiple of ATR) is a well-documented volatility-stop technique, this script extends that foundation into a complete navigation system rather than a simple trailing line.
Three layers separate this tool from a stock Chandelier Exit plot:
An optional adaptive pre-filter (Kalman Filter or a slope-adjusted moving average referred to here as LLAMA) that can be applied to the source series before the channel extremes are calculated, allowing the trend anchor itself to react differently to noise depending on which filter is selected.
A full trade-management layer built on top of the directional flip: automatic stop-loss placement, three independently configurable take-profit levels defined in R-multiples, and live linefill zones that visually separate risk from reward.
A condition-stacking filter system (higher-timeframe EMA bias and ADX strength) that must all align before a directional flip is treated as an actionable signal, reducing signals generated during weak or conflicting conditions.
The combination is not an arbitrary mashup — the adaptive filter conditions the input to the channel calculation, the HTF/ADX filters condition which flips are considered valid, and the trade-management layer converts a validated flip into a concrete, risk-defined plan. Each component feeds the next in a single directional pipeline.
🔬 Methodology and Concepts
● Chandelier Exit Core
The core channel is built from Average True Range (ATR), calculated over a user-defined lookback. Two boundaries are computed each bar:
A long-side stop, set below the highest value of the source over the lookback period, offset by a multiple of ATR.
A short-side stop, set above the lowest value of the source over the same lookback, offset by the same ATR multiple.
Users can choose whether the highest/lowest calculation uses close-based extremes or true high/low wicks, which changes how sensitive the channel is to intrabar spikes.
A persistent trailing line then locks in the tighter of the two boundaries as price develops: while the current directional state is bullish, the line only ratchets upward (never loosening on a pullback); while bearish, it only ratchets downward. A directional flip occurs when price closes beyond the opposite boundary from the prior bar, at which point the trailing line resets to anchor the new trend.
● Adaptive Source Filtering
Before the channel extremes are calculated, the source price can optionally be passed through one of two smoothing methods:
Kalman Filter — a recursive estimator that updates its estimate of the "true" price each bar based on a prediction-error and gain calculation, converging faster in stable conditions and adapting more cautiously during volatile ones.
LLAMA — a linear-regression-style approach that takes a simple moving average of the source and adjusts it by the recent slope (rate of change) over the same lookback, projecting the average forward in the direction the price has been drifting.
When neither is selected, the raw close is used directly, preserving the traditional Chandelier Exit behavior.
● Confirmation Filters
Two independent filters can be layered on top of the raw directional flip before it is treated as a signal:
A higher-timeframe EMA bias filter, which only allows long signals when price is trading above an EMA calculated on a higher timeframe, and only allows short signals when price is trading below it.
An ADX-based strength filter, which requires the Average Directional Index to be at or above a user-defined threshold before any signal — long or short — is permitted, filtering out flips that occur during weak, non-trending conditions.
Both filters default to off and can be combined or used independently.
● Trade Level Construction
When a filtered directional flip is confirmed on a closed bar, the script anchors a trade plan to the prior bar's close:
Risk per trade is defined as the prior bar's ATR multiplied by a user-set stop-loss multiplier.
The stop-loss is placed one risk-unit away from the entry, in the direction opposite the trade.
Three take-profit levels are placed at independently configurable R-multiples of that same risk distance (default 1R, 2R, and 3R), each extending in the direction of the trade.
This means every signal comes with a symmetric, volatility-scaled risk framework rather than a fixed point value, so trade levels automatically widen or tighten with current market volatility.
🎨 Visual Guide
Heatmap Candles — the chart's candle bodies and wicks are recolored to match the current directional state: teal/green while the trailing system is bullish, red while bearish, and gray when direction is undetermined (e.g. on the very first bar).
Entry Line (blue, dashed) — marks the anchor price of the most recent confirmed trade signal.
Stop-Loss Line (red, solid, thicker) — marks the calculated stop price for the active signal, labeled "✕ SL" with its price value.
Take-Profit Lines (green, dashed, three separate levels) — TP1, TP2, and TP3, each drawn with progressively fuller opacity so TP3 is the most visually solid, labeled "◆ TP1", "✦ TP2", and "◆ TP3" respectively with their price values.
Risk Zone Fill — a light red shaded region between the stop-loss and entry lines, visually sizing the risk portion of the trade.
Reward Zone Fill — a light teal shaded region between the entry and TP3 lines, visually sizing the potential reward portion of the trade.
Dashboard Table — a repositionable panel (default top-right) summarizing, in real time: Lock status, current Trend direction, HTF Bias reading, the numeric CE trailing-stop level, current ATR value, and the active Entry/SL prices. When enabled, it also displays the current ADX reading and which adaptive filter (if any) is active. A visual bar-and-percentage gauge shows the reward-to-risk ratio of the current trade relative to TP3, colored red/yellow/green depending on how favorable it is.
📌 Note : the best way to resolve visual overlap is to navigate to the Object Tree and drag the indicator above the main chart layer, or simply hide the native candles in your chart settings.
📖 How to Use
A directional flip in the heatmap candle color, together with a new Entry/SL/TP level set appearing on the chart, indicates a fresh signal in that direction.
The Stop-Loss line represents the level at which the trade thesis is considered invalidated under this system's logic.
TP1, TP2, and TP3 represent successive profit-taking references at increasing R-multiples; price reaching a level does not close or resize the plotted level automatically — it is a visual reference for scaling decisions.
The Risk and Reward zone fills give an immediate visual sense of the trade's risk framing without needing to read exact price values.
The Dashboard's R:R (TP3) gauge offers a quick read on how the reward potential compares to the initial risk for the most recent signal.
The Lock Signal input, when enabled, freezes the currently plotted levels in place and suppresses new signal generation — useful for reviewing a specific setup without the chart updating further trade plans in real time.
When the HTF or ADX filters are enabled but conditions aren't met, no new signal will fire even if the raw directional flip occurs — check the Dashboard's HTF Bias and ADX rows to understand why a flip may not have produced a signal.
⚙️ Inputs and Settings
ATR Len / ATR Mult — controls the lookback and volatility multiplier used to build the Chandelier channel; a longer length and/or larger multiplier produces a wider, slower-reacting trailing stop.
Use Close Extremes — toggles between close-based and high/low-based channel construction, changing sensitivity to intrabar wicks.
HTF Trend Filter / HTF TF / HTF EMA Len — enables and configures the higher-timeframe EMA bias filter that gates which direction of signal is permitted.
Use ADX Filter / ADX Threshold / ADX Length — enables and configures the trend-strength filter that must be satisfied for any signal to fire.
Adaptive Filter / Adaptive Filter Length — selects an optional smoothing method (Kalman Filter or LLAMA) applied to the source before channel calculation, and its lookback length.
Lock Signal — freezes the currently displayed trade levels and halts new signal generation.
SL ATR Mult — sets how many ATR units define one unit of risk for stop-loss placement.
TP1 R / TP2 R / TP3 R — sets the R-multiple distance for each take-profit level relative to the calculated risk.
Heatmap Candles / Show Trade Levels — toggle the directional candle coloring and the entry/SL/TP drawing layer independently.
Dash Pos — repositions the dashboard to any chart corner.
Color inputs — customize the bullish/bearish colors, stop-loss, entry, and take-profit line colors, and the dashboard's background, header, and text colors.
Alert action fields (Long/Short/Close Long/Close Short) — customize the text string sent in the "action" field of the JSON alert payload, useful for routing signals to automated systems expecting specific action keywords.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
The trailing-stop core of this script belongs to a family of volatility-adjusted stop techniques that use Average True Range as a normalization factor for price movement, an approach popularized in trend-following and volatility-breakout literature as a way to size stops relative to an instrument's current, rather than fixed, volatility regime. Anchoring the stop to a rolling extreme (highest high or lowest low) rather than a fixed percentage or point distance reflects the broader class of "channel breakout" trend systems, in which a directional bias persists until price violates a level defined by recent extremes — a structure with roots in classical trend-following systems that predate modern indicator platforms.
The optional Kalman Filter smoothing draws on recursive Bayesian estimation theory, originally developed for tracking dynamic systems under measurement uncertainty. Applied to price, it treats each new close as a noisy observation of an underlying "true" value, blending the prior estimate with the new observation according to a gain term that adjusts based on estimated error — a formulation with parallels to adaptive filtering approaches used in signal processing and, more recently, in quantitative finance research on noise-reduction for price series.
The LLAMA-labeled alternative combines a simple moving average with a linear slope projection, conceptually related to local linear regression and momentum-adjusted smoothing techniques, where a lagging average is advanced along the estimated trend direction to partially compensate for the inherent lag of moving-average-based estimators.
The ADX-based strength filter draws on Welles Wilder's Directional Movement framework, which quantifies trend strength independently of trend direction; requiring a minimum ADX reading before accepting a signal reflects a common risk-management heuristic in trend-following systems — that directional signals generated during low ADX (ranging/choppy) conditions have historically shown less reliability than those generated during elevated trend strength, though this relationship is probabilistic rather than deterministic and varies across instruments and regimes.
The take-profit structure, expressed in R-multiples of the initial risk rather than fixed price or percentage targets, reflects standard position-sizing and risk-management theory in which trade outcomes are measured relative to the capital placed at risk, allowing performance to be evaluated on a risk-normalized basis rather than in absolute price terms.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. Indicator
McGinley Dynamic Fusion [MarkitTick]💡 The McGinley Dynamic is a lesser-known adaptive moving average developed in the 1990s by market technician John R. McGinley, specifically engineered to solve a problem that plagues conventional moving averages: their tendency to lag badly during fast market moves while whipsawing excessively during slow, choppy conditions. Unlike a standard EMA or SMA, the McGinley Dynamic adjusts its own speed automatically based on the relationship between price and its prior value, effectively "hugging" price more tightly when the market accelerates and smoothing out more when it decelerates. This script builds a complete trading framework around a Fast/Slow McGinley Dynamic crossover, layering in higher-timeframe confirmation, signal cooldown filtering, ATR-adaptive trade levels, a live dashboard, and a manual signal-lock mechanism.
✨ Originality and Utility
While McGinley Dynamic implementations exist on PulseWire, this script does not simply plot the raw indicator. It combines four distinct engineering layers into a single decision framework:
A recursively self-adjusting dual McGinley Dynamic engine (Fast and Slow) used as a crossover trigger rather than a static trend line.
An optional higher-timeframe directional filter that requires the HTF trend to agree with the signal direction before a crossover is allowed to fire.
A cooldown/gap filter measured in bars, which suppresses new signals for a configurable number of bars after the last one, reducing signal clustering during choppy crossover conditions.
An ATR-based trade management layer that auto-plots Entry, Stop Loss, and three Take Profit levels the moment a signal fires, extended live on the chart with a color-coded risk/reward fill.
The value to traders lies in how these layers interact: the McGinley crossover alone would generate frequent false signals in ranging markets, but the HTF filter and cooldown mechanism specifically target the crossover's greatest weakness (over-triggering during consolidation), while the ATR trade-level engine converts a raw directional signal into a fully defined, risk-quantified trade plan without any additional charting work from the user.
🔬 Methodology and Concepts
• The McGinley Dynamic Engine
The core building block is a recursive moving average that adjusts its step size relative to how far price has moved away from its previous value. Rather than applying a fixed weighting like an EMA, the McGinley Dynamic divides the price-to-prior-value distance by a dynamic denominator that grows sharply when price moves far from the average and shrinks when price sits close to it. This produces a curve that speeds up during trending, high-momentum moves and slows down during sideways congestion, giving it a self-correcting quality that fixed-period moving averages lack. The script instantiates two independent copies of this engine: a Fast McGinley Dynamic (default length 14) and a Slow McGinley Dynamic (default length 50), each with its own configurable "K Constant" that governs how aggressively the adaptive denominator reacts to price displacement.
• Crossover Signal Logic
A long signal is generated when the Fast McGinley Dynamic closes above the Slow McGinley Dynamic after having been at or below it on the prior two bars — a confirmed upward crossover, not an intrabar or provisional one. A short signal mirrors this logic on the downside. This two-bar confirmation approach (checking both the and offsets) ensures the crossover has actually completed on a closed bar before a signal is registered, rather than reacting to a crossover that could still repaint on the current forming bar.
• Higher-Timeframe Directional Filter
When enabled, the script pulls the source price and Fast McGinley Dynamic value from a user-selected higher timeframe (default 4-hour) and requires that the HTF price sit on the correct side of the HTF Fast McGinley Dynamic before allowing a same-direction signal on the working timeframe. This acts as a macro-trend veto: a bullish crossover on the chart timeframe will be ignored if the higher-timeframe trend context is bearish, and vice versa. The higher-timeframe request is built using a confirmed, prior-bar value combined with PulseWire's lookahead-on merge policy — the standard non-repainting pattern for pulling higher-timeframe data — so the filter reacts only to fully closed higher-timeframe bars.
• Cooldown / Signal Spacing Filter
To prevent rapid-fire signals during periods where the Fast and Slow McGinley Dynamic lines oscillate around each other, the script tracks the bar index of the last long and last short signal separately. A new signal in the same direction is only permitted once a user-defined minimum number of bars ("Cooldown Bars") has elapsed since the prior one, reducing signal noise without altering the underlying crossover logic itself.
• ATR-Based Trade Level Construction
The moment a qualifying signal fires, the script calculates an Average True Range value over a configurable lookback and uses it to derive five reference prices: an entry (the prior bar's close), a stop loss, and three take-profit targets. Each level is expressed as an ATR multiple away from entry, with independently configurable multipliers for the stop and each take-profit tier. This means the distance between entry and each level automatically expands or contracts with recent volatility rather than using a fixed point or percentage distance, keeping the risk/reward structure proportionate to current market conditions.
• Signal Lock
The optional Lock Signal feature freezes the currently displayed trade levels once toggled on, preventing them from being overwritten by a subsequent crossover. This is useful for traders who want to manually track a single active setup on the chart without the lines and labels shifting each time a new signal condition is technically met.
🎨 Visual Guide
Fast MD line (default blue) — the fast-length McGinley Dynamic.
Slow MD line (default orange) — the slow-length McGinley Dynamic.
Heatmap Candles — when enabled, candle bodies and wicks are recolored based on trend bias: teal/green when the Fast MD sits above the Slow MD (bullish bias), red when below (bearish bias), independent of the raw candle color.
Entry line (dashed, blue by default) — plotted at the close of the bar prior to signal confirmation, marking the reference entry price.
Stop Loss line (solid, red by default) — the ATR-derived stop level, labeled with an "✕ SL" tag showing the exact price.
Take Profit lines (dashed, teal by default, three tiers with increasing opacity) — TP1, TP2, and TP3, each labeled with its price.
Risk fill — a shaded region between the entry line and stop-loss line, tinted in the stop-loss color, visually representing the risk portion of the trade.
Reward fill — a shaded region between the entry line and the TP3 line, tinted in the take-profit color, visually representing the potential reward span.
All trade-level lines and labels extend live to the right edge of the chart until superseded by a new signal or, if Signal Lock is active, held in place.
📌 Note : the best way to resolve visual overlap is to navigate to the Object Tree and drag the indicator above the main chart layer, or simply hide the native candles in your chart settings.
📖 How to Use
A bullish signal occurs when the Fast MD confirms a crossover above the Slow MD, subject to the HTF filter and cooldown filter both being satisfied. The dashboard's Bias row will read "▲ Bull".
A bearish signal occurs on the mirrored downward crossover, with the Bias row reading "▼ Bear".
When a signal fires, use the auto-plotted Entry, SL, and TP1/TP2/TP3 lines as a starting framework for trade structure — the R:R progress bar on the dashboard shows the reward-to-risk ratio for TP1 relative to the stop distance.
The MD Gap row on the dashboard visualizes, as a percentage bar, how far apart the Fast and Slow MD lines currently are, which can help gauge trend strength or an approaching crossover.
Enabling the HTF Filter is recommended for traders who want signals to align with a broader trend context rather than trading every local crossover.
Enabling Signal Lock freezes the current trade plan on screen, useful when manually managing an active position and wanting to prevent the levels from updating on the next crossover.
⚙️ Inputs and Settings
Src / Fast N / Slow N — source price and the lookback lengths for the Fast and Slow McGinley Dynamic calculations. Shorter lengths react faster but generate more signals; longer lengths are smoother but slower to confirm.
K Const — governs how aggressively the McGinley Dynamic's adaptive denominator responds to price displacement from the prior value. Higher values slow the line's responsiveness.
HTF Filter / HTF TF — enables the higher-timeframe directional veto and sets which higher timeframe is used for that check.
Cooldown Bars — minimum number of bars required between two signals of the same direction.
Lock Signal — freezes the current trade levels in place, blocking updates from subsequent signals.
ATR Len — lookback length for the Average True Range used to size the SL and TP levels.
SL Mult / TP1 Mult / TP2 Mult / TP3 Mult — ATR multipliers that set the distance of the stop loss and each take-profit tier from the entry price.
Heatmap Candles / Trade Levels — visual toggles for the bias-colored candles and the auto-plotted trade-level lines/labels/fills.
Show Dash / Dash Pos — toggles the on-chart dashboard and sets its screen position.
Alert action fields (Long/Short/Close Long/Close Short) — customizable string values embedded into the script's JSON alert payloads, allowing the fired alerts to be mapped to specific automation or webhook actions.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
The McGinley Dynamic belongs to a broader family of adaptive-smoothing techniques in technical analysis that attempt to address a structural weakness of fixed-weight moving averages: a constant smoothing factor cannot simultaneously be fast enough to track trending markets and slow enough to filter noise in ranging markets. McGinley's original design achieves adaptivity by making the effective smoothing constant a function of the ratio between current price and the prior average value raised to the fourth power — a formulation that causes the adjustment factor to grow disproportionately large when price diverges sharply from the average, automatically accelerating the line's response, and to shrink toward a baseline when price and average are close, automatically slowing the response. This self-referential feedback mechanism places the McGinley Dynamic conceptually closer to adaptive filters used in signal processing (where a filter's gain is modulated by the magnitude of recent error) than to the fixed-coefficient exponential smoothing used in a standard EMA.
The dual-length crossover structure applied here draws on the well-established moving-average-crossover framework from technical trend-following literature, where the relationship between a fast and slow-adaptive series is used as a proxy for shifting momentum regimes, conceptually related to dual-moving-average systems and change-point detection approaches that flag a regime shift once a fast-reacting series diverges from a slow-reacting baseline. The higher-timeframe confirmation layer reflects the top-down, multi-timeframe analysis principle common in technical trading methodology, where signals on a lower timeframe are treated as more reliable when they align with the prevailing direction on a higher timeframe, reducing the frequency of signals that run counter to the dominant trend. Finally, the ATR-scaled trade-level construction is grounded in volatility-normalized position and risk sizing, a standard practice in quantitative trade management where stop and target distances are expressed as a multiple of recent realized volatility (via Average True Range) rather than fixed price or percentage distances, ensuring risk parameters adapt to the current volatility regime rather than remaining static across changing market conditions.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. Indicator
Murphy Timeframe LensMURPHY TIMEFRAME LENS
Reading time: ~2 min
█ OVERVIEW
Murphy Timeframe Lens is a timeframe compression tool inspired by John Murphy's explanation of weekly and monthly bar charts in Chapter 3 . The indicator displays higher timeframe structure directly on your current chart, helping traders study markets from a longer-range perspective without switching timeframes.
As Murphy explains, compressing data into larger bars allows chartists to see the bigger picture. A 15-minute bar on a 1-minute chart contains 15 bars of price action. An hourly bar can represent 60 minutes of trading activity.
The indicator adapts to different trading styles: intraday scalpers can use 15m or 1H compression on 1-minute charts, swing traders can view daily structure on 4H charts, and position traders can see weekly or monthly compression on daily timeframes.
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█ FEATURES
Multi-Timeframe Compression
The indicator offers seven timeframe options: 15m, 30m, 1H, 4H, Daily, Weekly and Monthly . Each fetches higher timeframe OHLC data and overlays it on your current chart.
The default 15m setting follows the two timeframes higher principle — when trading on 1-minute charts, viewing 15-minute structure provides directional context without excessive lag. This compression ratio balances noise reduction with real-time relevance.
For different base timeframes, select the appropriate HTF. 1-minute charts work well with 15m or 1H. 5-minute charts pair with 1H or 4H. Hourly charts benefit from Daily or Weekly compression.
Three Display Modes
The indicator offers three visualization options to match different analysis needs.
OHLC Bars — shows the full higher timeframe bar structure: open, high, low, and close levels with shaded range zones and clear O/C labels marking exact price levels.
Close Line — displays only the higher timeframe closing price as a stepped trend line, emphasizing directional bias without visual clutter.
HL Zones Only — plots just the high and low boundaries, creating range bands that show where the higher timeframe bar is trading.
Progressive Range Tracking
The indicator builds HTF high and low boundaries progressively as the timeframe bar develops. When a new 15-minute bar starts on a 1-minute chart, the high and low begin at current price and expand as subsequent 1-minute bars extend the range.
This prevents look-ahead bias — HTF boundaries reflect only information available at each moment, not the final bar values. Labels mark HTF open and close levels with exact prices for precise reference.
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█ VISUAL LEGEND
• Green shaded zone — HTF bar closed bullish (close above open)
• Red shaded zone — HTF bar closed bearish (close below open)
• O label (green) — HTF open level with exact price — where the HTF bar started
• C label (green/red) — HTF close level with exact price — where the HTF bar ended
• Blue dots — HTF high boundary (progressive, expands as bar develops)
• Orange dots — HTF low boundary (progressive, expands as bar develops)
• Gray background flash — new HTF bar started
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█ BEST USE CASES
• 1-minute scalping with 15m or 1H structure for intraday bias
• 5-minute trading with 1H or 4H compression for session context
• 4H swing trading with Daily or Weekly structure for trend alignment
• Identifying when price tests HTF boundaries (support/resistance zones)
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█ DISCLAIMER
This script is for educational and analytical purposes only. It is not financial advice. Trading involves risk, and all decisions remain the responsibility of the user. Indicator
Indicator
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.
Indicator
Intraday Uncertainty [PhenLabs]📊 Intraday Uncertainty
Version: PineScript™ v6
📌 Description
The Intraday Uncertainty indicator offers traders a visual representation of market certainty/uncertainty during trading sessions. By comparing each price bar’s range to the Average True Range (ATR), it provides an intuitive way to gauge market conviction through a color gradient system.
This tool helps traders identify periods of high certainty (potentially trending markets) versus high uncertainty (potentially choppy or volatile markets) without complex calculations or multiple indicators. The color-coded bars create an immediate visual cue to support decision-making in varying market conditions.
🚀 Points of Innovation
Automated range-to-ATR ratio calculation that adapts to changing market volatility
Dynamic color gradient system that visually distinguishes between certain and uncertain price action
Customizable gradient clamping to fine-tune sensitivity to market conditions
Integrated dashboard that provides clear interpretation guidance
Position-flexible legend that accommodates different chart layouts
Highly optimized for performance with minimal calculation overhead
🔧 Core Components
ATR Calculation: Measures market volatility using a configurable lookback period
Range-to-ATR Ratio: Compares current bar’s high-low range against average volatility
Gradient Mapping System: Converts numerical uncertainty values into an intuitive color scale
Dashboard Legend: Provides clear interpretation guidance with customizable positioning
🔥 Key Features
Bar Coloring: Instantly identifies market certainty levels through intuitive color gradients
Customizable ATR Period: Adjust sensitivity to historical volatility based on trading style
Gradient Clamping: Fine-tune the color sensitivity using the Range/ATR multiplier
Color Customization: Personalize the color scheme to match your chart aesthetics
Informative Dashboard: Quickly interpret color meanings with the optional on-chart legend
Flexible Display Options: Customize dashboard position and text size for your chart layout
🎨 Visualization
Color Gradient: Bars colored on a spectrum from green (high certainty) to red (high uncertainty)
Dashboard Legend: Optional on-chart guide explaining the color interpretation
Color Intensity: Stronger colors indicate more extreme certainty/uncertainty levels
At-a-glance Interpretation: Quickly identify market conviction without analyzing numbers
📖 Usage Guidelines
Calculation Settings
ATR Period
Default: 14
Range: 1+
Description: Controls the lookback period for ATR calculation. Lower values increase sensitivity to recent volatility, while higher values provide more stability.
Gradient Clamp (Range/ATR Multiplier)
Default: 2.0
Range: 0.1+
Description: Sets the maximum Range/ATR ratio for gradient scaling. Ranges above this value display the end color (high uncertainty).
Color Settings
Gradient Start Color (High Certainty)
Default: Green
Description: Color representing high market certainty (low Range/ATR ratio)
Gradient End Color (Low Certainty)
Default: Red
Description: Color representing low market certainty (high Range/ATR ratio)
Dashboard Settings
Show Dashboard Legend
Default: True
Description: Toggles the visibility of the on-chart interpretation guide
Dashboard Position
Options: top_right, top_left, bottom_right, bottom_left, middle_right, middle_left
Default: bottom_right
Description: Controls the placement of the dashboard on your chart
Dashboard Text Size
Options: tiny, small, normal, large, huge
Default: normal
Description: Adjusts the text size of the dashboard for readability
✅ Best Use Cases
Identifying potential trend shifts when certainty levels change dramatically
Confirming trend strength through consistent certainty levels
Detecting choppy/sideways markets with persistent high uncertainty
Filtering trading signals from other indicators based on certainty levels
Gauging market conviction behind price breakouts or pullbacks
Optimizing entry/exit timing based on certainty/uncertainty transitions
⚠️ Limitations
Does not predict future price direction, only measures current bar certainty
May provide false signals during news events or unexpected volatility spikes
Requires context within the broader market environment for optimal interpretation
Color interpretation is relative rather than absolute across different securities
ATR-based calculation means sensitivity varies across different timeframes
💡 What Makes This Unique
Simplicity: Single visual indicator that doesn’t require multiple technical tools
Adaptability: Automatically adjusts to changing market volatility conditions
Contextual Analysis: Provides market conviction context beyond just price movement
Intuitive Design: Color-based system that requires minimal learning curve
Efficiency: Lightweight calculation that doesn’t impact chart performance
🔬 How It Works
1. ATR Calculation:
Calculates the Average True Range using the specified period
Establishes a baseline for normal market volatility
2. Range Analysis:
Measures each bar’s high-low range
Compares this range to the current ATR value to create a ratio
3. Gradient Mapping:
Converts the Range/ATR ratio to a normalized value between 0 and 1
Maps this value onto a color gradient between the start and end colors
Applies the resulting color to the price bar
4. Dashboard Creation:
Constructs an information panel on the last visible bar
Populates it with color samples and interpretation guidance
💡 Note:
This indicator works best when used in conjunction with other technical analysis tools rather than in isolation. The certainty/uncertainty measure provides context for your trading decisions but should not be the sole basis for entries and exits. Consider using higher certainty periods for trend-following strategies and exercise caution during periods of high uncertainty.
Indicator
Wave Surge [UAlgo]The "Wave Surge " is a comprehensive indicator designed to provide advanced wave pattern analysis for market trends and price movements. Built with customizable parameters, it caters to both beginner and advanced traders looking to improve their decision-making process.
This indicator utilizes wave-based calculations, adaptive thresholds, and volume analysis to detect and visualize key market signals. By integrating multiple analysis techniques.
It calculates waves for high, low, and close prices using a configurable moving average (EMA) technique and pairs it with volume and baseline analysis to confirm patterns. The result is a robust framework for identifying potential entry and exit points in the market.
🔶 Key Features
Wave-Based Analysis: This indicator computes waves using exponential moving averages (EMA) of high, low, and close prices, with an adjustable wave period to suit different market conditions.
Customizable Baseline: Traders can select from multiple baseline types, including VWMA (Volume-Weighted Moving Average), EMA, SMA (Simple Moving Average), and HMA (Hull Moving Average), for trend confirmation.
Adaptive Thresholds: The adaptive threshold feature dynamically adjusts sensitivity based on a chosen period, ensuring the indicator remains responsive to varying market volatility.
Volume Analysis: The integrated volume analysis calculates volume ratios and allows traders to enable or disable this feature to refine signal accuracy.
Pattern Recognition: The indicator identifies specific wave patterns (Wave 1, Wave 3, Wave 4, Wave 5, Wave 6) and visually plots them on the chart for easy interpretation.
Visual and Color-Coded Signals: Clear visual signals (upward and downward arrows) are plotted on the chart to highlight potential bullish or bearish patterns. The baseline is color-coded for an intuitive understanding of market trends.
Configuration: Parameters for wave period, baseline length, volume factors, and sensitivity can be tailored to align with the trader’s strategy and market environment.
🔶 Interpreting the Indicator
Wave Patterns
The indicator detects and plots six unique wave patterns based on price changes that exceed an adaptive threshold. These patterns are validated by the direction of the baseline:
Wave 1 (Bullish): Triggered when the price increases above the threshold while the baseline is falling.
Wave 3, 4, and 6 (Bearish): Indicate potential downtrends validated by a rising baseline.
Wave 5 (Bullish): Suggests upward momentum when prices exceed the threshold with a falling baseline.
Baseline Trend
The baseline serves as a trend confirmation tool, dynamically changing color to reflect market direction:
Aqua (Rising): Indicates an upward trend.
Red (Falling): Indicates a downward trend.
Volume Confirmation
When enabled, the volume analysis feature ensures that signals are supported by significant volume movements. Patterns with high volume are considered more reliable.
Signal Visualization
Upward Arrows (🡹): Highlight potential bullish opportunities.
Downward Arrows (🡻): Highlight potential bearish opportunities.
Alerts
Alerts are triggered when key wave patterns are identified, providing traders with timely notifications to take action without being tied to the screen.
🔶 Disclaimer
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results. Indicator
MPF EMA Cross Strategy (8~13~21) by Market Pip FactoryThis script is for a complete strategy to win maximum profit on trades whilst keeping losses at a minimum, using sound risk management at no greater than 1.5%
The 3x EMA Strategy uses the following parameters for trade activation and closure.
1/ Daily Time Frame for trend confirmation
2/ 4 Hourly Time Frame for trend confirmation
3/ 1 Hourly Time Frame for trend confirmation AND trade execution
4/ 3x EMAs (Exponential Moving Averages)
* EMA#1 = 8 EMA (Red Color)
* EMA#2 = 13 EMA (Blue Color)
* EMA#3 = 21 EMA (Orange Color)
5/ Fanning of all 3x EMAs and CrossOver/CrossUnder for Trend Confirmation
6/ Price Action touching an 8 EMA for trade activation
7/ Price Action touching a 21 EMA for trade cancellation BEFORE activation
* For LONG trades: 8 EMA would be ABOVE 21 EMA
* For SHORT trades: 8 EMA would be BELOW 21 EMA
* For trade Cancellation, price action would touch the 21 EMA before trade is activated
* For trade Entry, price action would touch 8 EMA
Once trigger parameter is identified, entry is found by:
a) Price action touches 8 EMA (Candle must Close for confirmed Trade preparation)
b) Trade preparation can be cancelled before trade is activated if price action touches 21 EMA
c) Trailing Stop Loss can be used (optional) by counting back 5 candles from current candle
CLOSURE of a Trade is identified by:
e) 8 EMA crossing the 21 EMA, then close trade, no matter LONG or SHORT
f) Trail Stop Loss
IMPORTANT:
g) No more than ONE activated trade per EMA crossover
h) No more than ONE active trade per pair
NOTE: This strategy is to be used in conjunction with Cipher Twister (my other indicator) to reduce trades on
sideways price action and market trends for super high win ratio.
NOTE: Enabling of LONGs and SHORTs Via Cipher Twister is done by using the previous
green or red dot made. Additionally, when the trend changes, so do the dot's validity based
on being above or below the 0 centerline.
----------------------------
Strategy and Bot Logic
----------------------------
.....::: FOR SHORT TRADES ONLY :::.....
The Robot must use the following logic to enable and activate the SHORT trades:
Parameters:
$(crossunder)=8EMA,21EMA=Bearish $(crossover)=8EMA,21EMA=Bullish $entry=SELL STOP ORDER (Short)
$EMA#1 = 8 EMA (Red Color) $EMA#2 = 13 EMA (Blue Color) $EMA#3 = 21 EMA (Orange Color)
Strategy Logic:
1/ Check Daily Time Frame for trend confirmation if:
(look back up to 50 candles - find last cross of EMAs)
$(chart)=daily and trend=$(crossunder) then goto 2/ *Means: crossunder = ema21 > ema8
$(chart)=daily and trend=$(crossover) then stop (No trades) *Means: crossover = ema8 > ema21
NOTE: This function is switchable. 0=off and 1=on(active). Default = 1 (on)
2/ Check 4 Hourly Time Frame for trend confirmation if:
(look back up to 50 candles - find last cross of EMAs)
$(chart)=4H and trend=$(crossunder) then goto 3/ *Means: crossunder = ema21 > ema8
$(chart)=4H and trend=$(crossover) then stop (No trades) *Means: crossover = ema8 > ema21
NOTE: This function is switchable. 0=off and 1=on(active). Default = 1 (on)
3/ 1 Hourly Time Frame for trend confirmation AND trade execution if:
(look back up to 50 candles - find last cross of EMAs)
$(chart)=1H and trend=$(crossunder) then goto 4/ *Means: crossunder = ema21 > ema8
$(chart)=1H and trend=$(crossover) then stop (No trades) *Means: crossover = ema8 > ema21
4/ Trade preparation:
* if Next (subsequent) candle touches 8EMA, then set STOP LOSS and ENTRY
* $stoploss=3 pips ABOVE current candle HIGH
* $entry=3 pips BELOW current candle LOW
5/ Trade waiting (ONLY BEFORE entry is hit and trade activated):
* if price action touches 21 EMA then cancel trade and goto 1/
Note: Once trade is active this function does not apply !
6/ Trade Activation:
* if price activates/hits ENTRY price, then bot activates trade SHORTs market
7/ Optional Trailing stop:
* if active, then trailing stop 3 pips ABOVE previous HIGH of previous 5th candle
or * Move Stop Loss to Break Even after $X number of pips
NOTE: This means count back and apply accordingly to the 5th previous candle from current candle.
NOTE: This function is switchable. 0=off and 1=on(active). Default = 0 (off)
8/ Trade Close ~ Take Profit:
* Only TP when
$(chart)=1H and trend=$(crossover) then close trade ~ Or obviously if Stop Loss is hit if 7/ is activated.
----------END FOR SHORT TRADES LOGIC----------
.....::: FOR LONG TRADES ONLY :::.....
The Robot must use the following logic to enable and activate the LONG trades:
Parameters:
$(crossunder)=8EMA,21EMA=Bearish $(crossover)=8EMA,21EMA=Bullish $entry=BUY STOP ORDER (Long)
$EMA#1 = 8 EMA (Red Color) $EMA#2 = 13 EMA (Blue Color) $EMA#3 = 21 EMA (Orange Color)
Strategy Logic:
1/ Check Daily Time Frame for trend confirmation if:
(look back up to 50 candles - find last cross of EMAs)
$(chart)=daily and trend=$(crossover) then goto 2/ *Means: crossover = ema8 > ema21
$(chart)=daily and trend=$(crossunder) then stop (No trades) *Means: crossunder = ema21 > ema8
NOTE: This function is switchable. 0=off and 1=on(active). Default = 1 (on)
2/ Check 4 Hourly Time Frame for trend confirmation if:
(look back up to 50 candles - find last cross of EMAs)
$(chart)=4H and trend=$(crossover) then goto 3/ *Means: crossover = ema8 > ema21
$(chart)=4H and trend=$(crossunder) then stop (No trades) *Means: crossunder = ema21 > ema8
NOTE: This function is switchable. 0=off and 1=on(active). Default = 1 (on)
3/ 1 Hourly Time Frame for trend confirmation AND trade execution if:
(look back up to 50 candles - find last cross of EMAs)
$(chart)=1H and trend=$(crossover) then goto 4/ *Means: crossover = ema8 > ema21
$(chart)=1H and trend=$(crossunder) then stop (No trades) *Means: crossunder = ema21 > ema8
4/ Trade preparation:
* if Next (subsequent) candle touches 8EMA, then set STOP LOSS and ENTRY
* $stoploss=3 pips BELOW current candle LOW
* $entry=3 pips ABOVE current candle HIGH
5/ Trade waiting (ONLY BEFORE entry is hit and trade activated):
* if price action touches 21 EMA then cancel trade and goto 1/
Note: Once trade is active this function does not apply !
6/ Trade Activation:
* if price activates/hits ENTRY price, then bot activates trade LONGs market
7/ Optional Trailing stop:
* if active, then trailing stop 3 pips BELOW previous LOW of previous 5th candle
or * Move Stop Loss to Break Even after $X number of pips
NOTE: This means count back and apply accordingly to the 5th previous candle from current candle.
NOTE: This function is switchable. 0=off and 1=on(active). Default = 0 (off)
8/ Trade Close ~ Take Profit:
* Only TP when
$(chart)=1H and trend=$(crossunder) then close trade ~ Or obviously if Stop Loss is hit if 7/ is activated.
----------END FOR LONG TRADES LOGIC----------
IMPORTANT:
* If an existing trade is already open for that same pair, & price action touches 8EMA, do NOT open a new trade..
* bot must continuously check if a trade is currently open on the pair that triggers
* New trades are to be only opened if there is no active trade opened on current pair.
* Only 1 trade per pair rule !
* 5 simultaneous open trades (not same pairs) default = 5 but value can be changed accordingly.
* Maximum risk management must not exceed 1.5% on lot size
*** Some features are not yet available autoated, they will be added in due course in subsequent version updates *** Indicator
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