Volatility Drag OscillatorVolatility Drag Oscillator — what is holding exposure costing you, and what does leverage do to it?
Compound growth is g = μ − σ²/2; under leverage, g(L) = L·μ − L²·σ²/2. Return scales with L, drag scales
with L² — which is the whole reason leverage does not raise your probability of success. Volatility is
estimable in hundreds of bars; drift needs decades. So this tool measures only the knowable half:
- DRAG = σ²/2 annualised (Yang-Zhang by default; Close-to-close / Parkinson / Garman-Klass /
Rogers-Satchell selectable to see estimator disagreement = gap-risk information), EWMA-smoothed and
ranked into a percentile so you know if today is a cheap or expensive time to hold.
- DRAG DECOMPOSITION — realised drag split into its exact cumulant pieces: variance (σ²/2) + skew +
excess-kurtosis, shown as "σ² · skw · tail" in %/yr. A fat-tail warning tells you HOW MUCH of your
drag is tails, not just that they exist — and it compares realised drag to its own Gaussian part, so
it can't be fooled by estimator choice.
- LEVERAGE CURVE — drag at 1×/2×/3×, plus break-even L_be = 2μ/σ² and Kelly = μ/σ², shown ONLY as
conditionals on an edge YOU enter. The script never estimates drift, and says why.
READ IT how you like: a familiar 0-100 percentile OSCILLATOR in the pane (cheap<20, expensive>80,
midline 50, like an RSI of holding-cost), or the absolute drag %/yr line. On price, a heat-RIBBON and
green/red regime triangles show cheap→expensive to hold — VOLATILITY regime, direction-agnostic. A red
marker means "expensive, size down", never "go short".
No directional claim and no backtest — there is nothing here to fit. Descriptive risk context, not advice.
Leverage magnifies losses; this shows one cost of it, not all risks. Penunjuk
Penunjuk
NY Open Range Gap Reversal (M1D)M1D NY Open Range Gap Reversal
OVERVIEW
A reference and marking tool for the New York Regular Trading Hours (RTH) opening gap. It maps the price and time levels of the classic open-gap "manipulation then reversal" sequence so a discretionary trader can read the session at a glance. It draws levels and flags conditions on closed bars — it does not place orders, produce buy/sell calls, or predict outcomes.
THE IDEA
At the 09:30 ET cash open a gap frequently forms between the prior session's 16:15 ET RTH close and today's open. That gap often produces an early "judas swing": a first push off the open that raids liquidity, fails, and reverses back through the gap toward a gap-fill draw. This indicator frames that sequence with objective, repeatable levels and time windows so the read is consistent from day to day.
WHAT IT DRAWS
- RTH Open (True Day Open) line, annotated with the day's gap size and direction.
- Opening-gap retracement levels at 25%, 50% (the primary draw, emphasised), 75%, and 100% (full fill = the prior RTH close).
- Shading of the 09:30-10:00 gap-fill window and a 10:00 checkpoint line.
- Opening Range high and low (first N minutes of RTH; default 30).
- Liquidity Sweep flag when the opening-range extreme is taken and price closes back inside (the manipulation leg).
- SMT divergence flag against two correlated index futures (default YM and ES), pivot-based. Each flag names which comparison index diverged (e.g. "SMT - YM"), so a one-sided divergence is distinguishable from both indices disagreeing.
- An info panel showing gap size, live gap-fill percentage, a countdown to the RTH close, the day's directional bias, and which SMT comparison symbols are in play.
- Right-margin labels that sit within a configurable ATR distance of each other are merged into one line of text instead of overlapping illegibly.
HOW IT WORKS
Session handling uses the exchange clock in the America/New_York timezone, so it is daylight-saving safe with no fixed offset. The gap is measured from the prior RTH session's 16:15 ET futures close to the current 09:30 ET open; the electronic/Globex 17:00 ET close is intentionally not used. Directional bias is derived from gap direction: a gap up frames a bearish fade toward the fill, a gap down frames a bullish fade. The Sweep and SMT modules only evaluate on days whose gap is at or above a configurable minimum. The minimum can be expressed as a multiple of the previous day's ATR (the default, 0.15, so the threshold scales with each instrument's own volatility), as a percentage of price, or in raw points. Both modules arm only after the opening range locks (SMT pivot history is still tracked through the range, so the first pivot after the lock has a same-session reference; an input allows SMT inside the range). By default an SMT flag requires BOTH comparison symbols to fail to confirm the chart's pivot; an input relaxes this to either one. A comparison symbol that tracks the same index as the chart cannot diverge from it, so that leg is automatically excluded and the info panel reports which symbols remain active. Line and label activity (extension and new Sweep/SMT detection) stops at a configurable cutoff (default 11:30 ET) and resumes automatically at the next session's open; the info panel is unaffected and keeps updating through the close. All detection is evaluated on bar close (barstate.isconfirmed) to avoid repainting, and prior-day drawings are removed at the 16:15 ET boundary so nothing carries into the next session.
HOW TO USE IT
Apply to CME equity-index futures (for example MNQ/NQ, MES/ES, MYM/YM) on an intraday execution timeframe such as 1-5 minute. Read the levels as context: the gap-fill levels are potential draws, the opening range and its sweep mark the manipulation leg, and the SMT flag marks a confirming (or diverging) move in the correlated indices. The trader decides where and how to act — the script does not mark an entry. Every module, colour, time window, label size, and the SMT symbol pair are adjustable in the settings.
INPUTS
Grouped controls for session times, the gap minimum (ATR-relative, percent, or points) and which fib levels to show, opening-range length, timing references, and the Sweep / SMT modules (symbol pair, pivot length, both-or-either divergence, bias filter). Every drawn line and label has its own colour, line style, and label text, on top of global controls for the brand colours, line width, label size, right-margin offset, and info-table position.
NOTES
- This is an indicator, not a strategy: it does not generate orders, alerts to enter, or performance results.
- It evaluates conditions on closed bars and does not repaint.
- Descriptions of how gaps have tended to behave are informational, not predictive.
DISCLAIMER
This script is provided for educational and informational purposes only. It is not financial advice and is not a recommendation to buy or sell any instrument. Trading futures carries a substantial risk of loss. Past behaviour is not indicative of future results. You are solely responsible for your own trading decisions. Test thoroughly before relying on it in any live environment. Penunjuk
Penunjuk
Penunjuk
Reversal Scalper 2.0- Adib NooraniReversal Scalper - Smoothed Stoch & ATR Trend Filter
Hey everyone, I originally put this script together to help me scalp XAUUSD and Indian equities on lower timeframes, specifically to solve a problem I was having with standard momentum oscillators.
We all know the main issue with using a regular Stochastic for scalping: it’s great for spotting exhaustion, but when a strong trend kicks in, the oscillator just stays pegged in the overbought or oversold zones. If you try to trade those reversal signals blindly, you just get run over by the trend.
To fix this, I created a mashup that combines a smoothed Stochastic with a custom ATR-based structural trend ribbon. The whole point of combining these two indicators is to use the ATR bands to define the actual market structure, and only take the Stochastic reversal signals when the trend filter confirms that the push is actually exhausted.
How the math works:
First, the bottom oscillator (what I call the Reversal Strength Meter) is based on a standard 8-period Stochastic. But to cut out the erratic noise you usually get on the 1m or 5m charts, I ran it through a 5-period Simple Moving Average. It gives a much cleaner read on momentum.
Second, the background trend filter uses a long-term ATR (100-period, halved) multiplied by a deviation factor (default is 3). The script looks back at recent swing highs and lows to project a volatility channel. I linked this channel to the bar colors so you don't need to look at messy lines on your chart.
How to trade with it:
If the price breaks hard outside the ATR channel, the candles change color (white for a strong push up, black for a strong push down). When you see this, it means the trend is expanding—do not look for reversals, even if the Stochastic is at an extreme.
For Longs: Wait for a strong downward push that turns the candles black. Let the smoothed Stochastic dip below the 20 level. You only enter long when the candles go back to their normal color (showing the structural selling pressure has stopped) AND the stochastic crosses firmly back up above 20.
For Shorts: Wait for a bullish push that turns the candles white. Let the stochastic ride up above 80. Your short trigger is when the candles return to normal and the stochastic crosses back down below 80.
I left the inputs open so you can adjust the Stochastic lengths and the ATR deviation factor depending on what timeframe or asset you are trading. Hope this helps you guys filter out the fake outs. Penunjuk
Session Seasonality Deviation [MarkitTick]💡 A highly advanced analytical framework meticulously engineered to quantify, measure, and visualize volatility anomalies within specific, localized trading windows. By programmatically isolating price action strictly to predefined market hours—such as the London or New York opens—this tool establishes an objective statistical baseline of expected market movement based exclusively on historical day-of-the-week performance data. Rather than relying on lagging continuous averages, this mathematical model detects the precise moment a market transitions from baseline activity into statistically significant expansion or compression, providing an objective lens through which to view true price dynamics.
● ✨ Originality and Utility
Traditional volatility metrics and bands typically analyze continuous price data streams, inadvertently blending distinct, structurally different trading periods into a single, homogenized moving average. This generalized approach inherently degrades the accuracy of volatility forecasting. The core utility of the SSD indicator lies in its targeted isolation of distinct market sessions, mathematically acknowledging the reality that a Tuesday London session behaves with entirely different liquidity parameters than a Friday New York session.
By creating an isolated historical distribution for each specific day of the week, this tool offers a highly accurate, predictive baseline for expected volatility that adapts to the calendar. Furthermore, the integration of structural price action filters ensures that these statistical anomalies are always correlated with actual market mechanics, elevating the tool beyond simple moving average bands and providing a robust, multidimensional analysis of market intent.
● 🔬 Methodology and Concepts
This script operates on a sophisticated confluence of statistical profiling and structural market analysis, creating an unyielding logic engine designed to filter market noise.
Time-Series Stratification: The underlying logic initiates by isolating raw price data exclusively within a user-defined temporal window. It captures the extreme upper and lower boundaries of this session, establishing the true operational range and discarding irrelevant data from inactive hours.
Day-of-Week (DOW) Seasonality Profiling: Rather than utilizing a generic rolling lookback of consecutive calendar days, the algorithmic engine stores and categorizes historical session ranges based on the specific day of the week. It builds an independent, localized statistical distribution for each day, calculating the mean average range and the variance of those specific historical instances.
Standardized Deviation (Z-Score) Engine: The primary mathematical trigger relies on a rigorous Z-Score calculation. It compares the current session's confirmed range against the historical DOW average, divided by the established standard deviation. This quantifies exactly how far the current volatility deviates from the empirical historical norm.
Structural Confluence and Market Character: To prevent the system from acting on anomalous volatility that lacks definitive directional intent, the logic engine requires a structural confirmation. It evaluates recent high and low boundaries, demanding that the closing price breaches these structural bounds to validate the statistical signal and confirm a genuine shift in market character.
● 🎨 Visual Guide
The visual interface is precision-engineered for rapid cognitive interpretation of complex statistical states, designed to relay critical data without cluttering the charting canvas.
Dynamic Heatmap Candles: The primary price action is overlaid with a responsive heatmap. Candlesticks are colored dynamically to reflect the internal bias of the active session, providing an immediate visual cue of the dominant buying or selling pressure.
Average Range Bounds: Subtle, non-intrusive bracketing lines are plotted symmetrically around the session open, projecting the historical average range. This creates a visual baseline for expected session expansion, allowing the user to see when price escapes the statistical norm.
Actionable Trade Levels: Upon the generation of a confirmed signal, the tool plots projected Entry, Stop Loss, and multiple Take Profit coordinates. Chart labels are meticulously configured to display raw value strings without percentage signs, ensuring a clean, distraction-free presentation of critical price levels.
Analytical Heads-Up Dashboard: A sophisticated data table is rendered on the chart, centralizing key real-time metrics. It details the active session, current directional bias, real-time Z-Score, Sample Size validity, and structural state. The dashboard is explicitly designed to display a matching, comprehensive evaluation of both long and short transaction outcomes, ensuring a perfectly balanced view of all potential market trajectories.
● 📖 How to Use
Interpreting the output of this tool requires a methodical, step-by-step approach, focusing heavily on the intersection of statistical deviation and structural shifts.
Monitor the on-chart dashboard for the Z-Score to definitively exceed the user-defined deviation threshold, which serves as the primary indicator of a statistically significant expansion in volatility.
Verify the directional bias of the current session using the Heatmap Candles and ensure this localized momentum aligns with the broader, macro market structure.
Wait for a confirmed structural breach signal that perfectly matches the directional bias of the initial statistical deviation, ensuring momentum is backed by actual price displacement.
Utilize the automatically plotted Trade Action Levels for strict risk management. The Stop Loss is dynamically calculated based on historical variance, and Take Profit levels offer scaled, mathematically logical target zones.
Exercise extreme caution and avoid executing signals during periods of severe price compression, or when the dashboard indicates that the sample size of historical data is insufficient to form a mathematically reliable statistical distribution.
● ⚙️ Inputs and Settings
The configuration panel is categorized logically to allow for the precise, modular tuning of both the statistical engine and the visual outputs.
Core Settings: Select the target session (Asia, London, New York) and define the lookback period for the seasonality model. Adjust the precise Deviation Threshold (Z-Score limit) to control the strictness and sensitivity of the generated signals.
Filters: Toggle specific confirmation layers, including the minimum required historical sample size, minimum expansion criteria, and specific structural requirements necessary to validate a move.
Trade Tools: Calibrate the multiplier values for the dynamically calculated Stop Loss and Take Profit levels, allowing the user to seamlessly align the tool with their individual risk parameters and payout models.
Visuals and Dashboard: Customize the display properties of the heatmap candles, the average range bands, and the spatial positioning of the analytical dashboard to suit personal workspace preferences.
● 🔍 Deconstruction of the Underlying Scientific and Academic Framework
The theoretical foundation of this analytical tool is deeply rooted in advanced Quantitative Finance, specifically drawing upon the established principles of Volatility Clustering and the Day-of-the-Week Anomaly. Academic literature frequently notes that financial markets exhibit leptokurtic distributions, wherein volatility is not a constant force but rather clusters densely in specific, predictable temporal windows. By employing a variance measurement technique akin to Standardized Moments, the script effectively normalizes session volatility.
This process allows the underlying algorithm to objectively classify current price action relative to an empirical baseline, entirely removing subjective human bias from the equation. Furthermore, the integration of structural pivot analysis introduces a deterministic filter to an otherwise probabilistic model. This synthesis ensures that statistical outliers are only deemed actionable when they are accompanied by a verifiable, measurable shift in the underlying supply and demand equilibrium.
⚠️ 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. Penunjuk
Strategi
Composite Liquidity Flow: five-asset weighted flow with RSI confWHAT IT DOES
One histogram that answers "where is the WHOLE market's money leaning?" It estimates buy and sell pressure across five instruments at once — index futures, their ETFs, and an inverse hedge ETF with its logic flipped — weights them, smooths them, and prints the net as a z-scored delta histogram with an RSI confluence layer on top.
HOW IT WORKS
- Per-asset pressure from candle structure (body and wick attribution), priced in dollars, weighted per your inputs.
- The inverse-hedge leg counts its buying as market selling — hedging demand is information.
- Z-score normalization keeps the scale readable across quiet and wild days; a session filter mutes overnight ETF noise.
- Divergences require three consecutive bars of opposing flow plus optional RSI confirmation, with a cooldown so they stay rare.
- Confluence arrows print only when flow direction, flow acceleration, and RSI agree — and a live dashboard scores it all.
HOW TO USE IT
Built for intraday index trading (5m default tuning). Green above zero and accelerating with RSI supportive = the composite tape agrees with your long. The divergence markers are warnings, not entries.
WHAT IT CAN'T DO
All of it is estimated from OHLCV — a well-built proxy, not tick data. The composite describes the index complex; it says nothing about your single stock.
SETTINGS
Five symbols and weights, smoothing and normalization, RSI confluence, divergence strictness, session filter, full display toggles.
Open source. Free. The whole market's lean, one pane. Penunjuk
Elite CVD: context-aware volume delta with divergencesWHAT IT DOES
A cumulative volume delta pane that estimates who is actually in control. Instead of splitting every bar's volume 50/50, the context-aware proxy weights wick volume directionally from candle structure, so a strong-bodied bar with a rejected wick reads the way it traded.
HOW IT WORKS
- Three proxy models: Context-Aware (recommended), Blended, and Classic High-Low — switch and compare.
- CVD resets per session by default (fixed-length and running modes available), so today's line reflects today's flow.
- RVOL weighting amplifies delta on genuinely heavy bars via square-root scaling; spike bars get a dot on the line.
- A four-tier histogram colors per-bar delta by acceleration: bright when pressure is building, dim when it fades.
- Pivot-based divergence detection flags price highs on weakening demand and price lows on weakening supply. Honest note: divergences confirm only after the pivot's right-side bars complete, so the marker appears with that lag, placed on the pivot bar.
HOW TO USE IT
Built for ES/NQ scalping on intraday charts, works anywhere volume is meaningful. Read the line's slope for control, the histogram for urgency, and treat divergences as a warning to tighten up, not an entry by themselves.
WHAT IT CAN'T DO
All volume delta from OHLC data is an estimate — this is a well-built proxy, not tick data. On thin symbols the estimate degrades with the volume.
SETTINGS
Proxy model, reset mode, signal line, display mode, RVOL weighting and spike threshold, divergence pivots, info table, colors.
Open source. Free. If it helps you stop fading real pressure, that's the job. Penunjuk
Daily Sweep Pro: liquidity raid, AMD filter & FVG entriesWHAT IT DOES
A full top-down liquidity playbook on one chart. It reads daily structure for bias (higher highs and higher lows = longs only; the reverse = shorts only), waits for a liquidity pool to get raided against that bias — intraday swings, the Asian range, premarket levels, or the opposing prior-day level — then demands a fair value gap in the trend direction before arming an entry at the gap, with the sweep extreme as the stop and the prior-day level as the target.
HOW IT WORKS
- Bias: daily pivots, evaluated on confirmed bars only.
- The AMD filter (on by default) requires the trap to happen on the wrong side of the weekly open — the classic Judas swing. Turn it off for more, lower-quality setups.
- Every armed setup passes a minimum reward:risk check, and a daily circuit breaker stops new setups after your max entries per day.
- A status table narrates the state machine live: bias, current state, levels, and a timeframe check.
- Signals and drawings fire on closed bars — no repaint. Staged alerts cover raid, FVG confirmation, entry, target, and stop.
HOW TO USE IT
Built for 1H and below during the New York session (sessions are configurable). Let the table tell you where you are in the sequence; the labels mark each stage on the chart.
WHAT IT CAN'T DO
It follows one playbook, strictly. On days without a clean raid-and-gap sequence it will do nothing at all — that is the design, not a malfunction. It also can't know the news; the circuit breaker is your friend on event days.
SETTINGS
Daily pivot strength, session windows, which liquidity pools are eligible, FVG size and entry style, minimum R:R, max entries per day, and full display toggles.
Open source. Free. If it keeps you out of one chase a week, that's the job. Penunjuk
Break & Volume: breakout bars with volume contextWHAT IT DOES
The simplest useful question, answered on every bar: did price just break the recent high or low, and did volume show up for it? Break bars are painted green or red, a small label prints the volume ratio versus its average, and the broken level stays on the chart as a dashed line until price revisits it.
HOW IT WORKS
- A break = close beyond the highest high or lowest low of the previous N bars (default 5).
- Volume context = current volume against a 20-bar average; 1.5x and up is the spike zone.
- Breaks confirm on bar close by default — no repaint, no intrabar flicker.
- Broken levels persist as reference lines and clear themselves once revisited, so the chart self-cleans.
HOW TO USE IT
Any symbol, any timeframe. A break on 2x volume and a break on 0.6x volume are different animals; this makes the difference visible at a glance. Pairs naturally with structure tools or the pattern colorer.
WHAT IT CAN'T DO
It measures the break, not the follow-through. Low-volume breaks fail often — that is precisely what the label is there to warn you about.
SETTINGS
Lookback bars, volume average length, level lines, volume labels, label size, confirm-on-close.
Open source. Free. One glance, two facts, no clutter. Penunjuk
Adaptive Confluence Oscillator [ForexCracked]🔵 OVERVIEW
The Adaptive Confluence Oscillator scores four independent read-outs of the market on a continuous scale, weights them according to the current market regime, and plots the result as a single 0 to 100 line. Instead of asking "do my indicators agree, yes or no," it asks "how strongly does each one agree, and which of them should I be listening to right now."
It has no fixed overbought or oversold levels. The bands are calculated from the oscillator's own recent behaviour, so they widen when the market gets volatile and tighten when it goes quiet.
Signals confirm on candle close and do not repaint.
🔵 WHY THIS IS BUILT THE WAY IT IS
Most multi-indicator tools take a vote. RSI is oversold or it is not. That throws away most of the information: an RSI of 29 and an RSI of 12 are not the same signal, but a vote counts them identically. It also treats every indicator as equally relevant at all times, which is plainly false. Stochastic exhaustion means one thing in a strong trend and the opposite thing in a range.
This oscillator fixes both problems. Every component returns a continuous score, and the market regime decides how much each score is worth.
🔵 THE FOUR COMPONENTS (each scored from -1 to +1)
• Trend: how far price sits from its baseline EMA, measured in ATR units rather than in price. Distance matters, not just which side of the line you are on. Because it is measured in ATR, it reads the same on gold as it does on EURUSD.
• Momentum: RSI recentred around 50, so it contributes proportionally instead of flipping at a threshold.
• Impulse: the MACD histogram converted to a z-score against its own rolling deviation. This makes MACD comparable across symbols and timeframes without ever re-tuning it, which raw MACD values are not.
• Stretch: the Stochastic, recentred. This is the component that changes behaviour with regime (see below).
🔵 THE REGIME SWITCH (the part that makes it adaptive)
ADX decides whether the market is trending or ranging, and that changes two things.
First, the weights re-balance:
• Trending: Trend 0.35, Momentum 0.25, Impulse 0.30, Stretch 0.10
• Ranging: Trend 0.15, Momentum 0.25, Impulse 0.20, Stretch 0.40
Second, and more importantly, the Stretch component flips sign. In a trend, a stretched Stochastic confirms the move and pushes the score further in that direction. In a range, the same reading argues for a fade and pushes the score the other way. This is the behaviour a discretionary trader applies without thinking about it, and it is what a fixed vote cannot express.
🔵 ADAPTIVE BANDS
There are no 70/30 lines here. The upper and lower bands are the rolling mean of the oscillator plus and minus a multiple of its own standard deviation. A reading of 68 can be an extreme in a quiet market and completely unremarkable in a volatile one, and the bands reflect that.
• BUY: the score crosses above the upper adaptive band
• SELL: the score crosses below the lower adaptive band
🔵 DIVERGENCE
The script finds pivots on the score itself and compares them against price at those same bars. When price makes a higher high but the score makes a lower high, that is marked as a bearish divergence, and the mirror case as bullish. Divergences are labelled and have their own alerts. Because a divergence is anchored to a confirmed pivot, it prints a few bars after that pivot forms and never moves once printed.
🔵 THE DASHBOARD
The panel shows each component's live score, its current weight, the detected regime with the ADX value, and the oscillator against its adaptive bands. You can see exactly which component is driving the reading and why, rather than trusting a black box.
🔵 SETTINGS
• Baseline EMA 34, ATR 14, Trend Span 2.0 x ATR
• RSI 14, MACD 12/26/9, Stochastic 14
• ADX 14, trending above 22
• Band lookback 100, band width 1.0 x standard deviation
🔵 HOW TO USE
• Take signals where the dashboard regime agrees with the direction. A BUY in a trending regime is a continuation. A BUY in a ranging regime is a fade off the bottom of the range.
• Treat a divergence as a warning to tighten or take partials, not as a standalone entry.
• Raise the band width above 1.0 for fewer and stronger signals, lower it for more.
• Widen Trend Span on noisy symbols so ordinary volatility does not read as trend.
⚠️ DISCLAIMER
This is an analysis tool, not a prediction. A confluence score is a measure of agreement, and indicators can agree and still be wrong. Results depend on market conditions, settings, and your own execution and risk management. Shared for educational and research purposes. Not financial advice. Penunjuk
Penunjuk
Penunjuk
Volatility Jump DetectorVolatility Jump Detector
This tool marks structurally significant price moves and tells you what kind of move each one was. It is an event detector, not a signal — it does not predict direction. It answers "did something real just happen here, and what was behind it?"
HOW JUMPS ARE DETECTED
Most "big candle" indicators compare a move to an ordinary volatility estimate, which has a circular flaw: a large jump inflates the very volatility measure used to judge it, so the biggest moves look less exceptional than they are.
This uses bipower variation (Barndorff-Nielsen and Shephard; Lee and Mykland), which builds the local volatility estimate from products of adjacent absolute returns. That construction is insensitive to a single large move, and it is computed excluding the current bar — so a jump cannot inflate its own threshold. A move is flagged when it exceeds a chosen multiple of that robust volatility, and the panel reports the exact sigma reading.
TWO INDEPENDENT CONTEXT AXES
INTENSITY — Is the recent jump rate elevated versus its own long-run baseline? Reported as a multiple with the underlying counts always visible, so you can see the sample behind the verdict. Note on method: a Hawkes branching-ratio estimate was implemented first and dropped. At a 4-sigma threshold real data yields only a handful of jumps per few hundred bars, far too few for count-variance statistics — it returned zero on every timeframe tested. A plain rate comparison is what sparse events can actually support, and below a minimum count the reading honestly says "insufficient" rather than printing a fabricated number.
VOLUME — Was the jump backed by participation, or did it slip through a thin book? A large move on heavy volume and the same move on nothing are different events. Auto-disables on instruments without a volume feed.
Optionally link the Risk & Levels Cockpit's exported levels, and jumps that fire through your invalidation level or at the point of control are flagged.
ON THE CHART
Direction-aware triangles mark each jump, colored by the intensity regime at that moment. The most recent jump is labelled with its sigma reading and volume tag. The background tints when jump intensity is elevated. The panel adapts to your chart theme and colors each row by meaning.
WORKS ON ANY MARKET AND TIMEFRAME
All lookbacks are in bars with no session, expiry, or clock anchors. Non-repainting: the robust volatility estimate excludes the current bar, and everything confirms at close.
LIMITATIONS
Not a signal and not investment advice. This marks events and describes them; it does not forecast what follows. An earlier version classified jumps as "ignition" versus "exhaustion" and measured the forward tendency of each — the measured continuation and reversal rates sat at base rate, so that classification was removed rather than kept as decoration. Jump detection depends on the threshold you choose; a lower threshold marks more moves and dilutes significance. Intensity needs a long baseline window because jumps are rare, and reports "insufficient" when the count is too low. Volume confirmation requires a volume feed.
CREDITS
Original implementation. Barndorff-Nielsen and Shephard bipower variation; Lee and Mykland (2008) jump test; jump-rate intensity comparison. Penunjuk
Penunjuk
ATR Range Adaptive ATR Range Adaptive — TF-adaptive volatility bands with dashboard.
A precision volatility tool that projects the statistical extent of a "normal" bar move as five horizontal levels around the previous close — and recalculates automatically on whatever timeframe you're viewing.
How it works:
Add the indicator once. From the previous closed bar of the current chart timeframe it draws the middle line (previous close) plus four ATR-multiplied bands — ±0.5 × ATR and ±1.0 × ATR. Switch to 1H → hourly levels. Switch to 5M → 5-minute levels. No presets to change.
What it shows:
- Previous close as the anchor (middle line)
- +100% band (upper strong resistance) at previous close + 1 × ATR
- +50% band (intermediate resistance) at previous close + 0.5 × ATR
- -50% band (intermediate support) at previous close - 0.5 × ATR
- -100% band (lower strong support) at previous close - 1 × ATR
- Corner dashboard: current TF, previous close, 1 ATR as a percentage of price, and each level's value + distance from the live price
Key features:
- Fully TF-adaptive: no fixed daily/monthly assumption — bands follow the chart's timeframe
- Selectable ATR smoothing: RMA (Wilder), EMA, SMA, WMA
- Adjustable ATR length and multiplier
- Level lines extend a configurable number of bars to the right
- Middle line can be toggled independently of the ATR bands
- Dashboard: 6 anchor positions, 4 text sizes, adjustable cell transparency
- Full color palette for each band + header and text
- Tooltip on "1 ATR, %" explains volatility bands (low / normal / elevated / high)
- Clean overlay: only 5 lines and 1 dashboard, no chart clutter
Who it's for:
Traders who want a fast, timeframe-aware read on how far price has already stretched from the previous close — and where a "normal" move statistically ends. Useful for intraday range trading, scalping around ATR extremes, sizing stops, and spotting bars that break out of typical volatility. Penunjuk
Penunjuk
Fractal Memory Strategy [Jayadev Rana]Fractal Memory Strategy trades the same engine as the Fractal Memory Projection indicator: it looks for the historical episode most similar to current price action, and only takes trend flips that agree with how that episode played out. Exits scale out at three volatility-adaptive targets.
HOW IT DECIDES
An ATR trailing stop tracks the trend. When it flips, the last 30 closes are converted to normalized log returns and compared against past windows by mean squared distance. The bars that followed the best analog give a net direction; the flip is only traded when the analog direction agrees (the filter can be disabled). Orders are processed on bar close, so no lookahead is involved. For visual context the strategy also draws the 50-candle ghost projection beyond the last bar - it is display-only and never affects order logic.
ENTRIES AND EXITS
On a confirmed bullish flip with agreement the strategy closes any short and enters long; the mirror applies to shorts. One unit of risk R equals ATR times (1.2 plus the ATR percentile rank over 200 bars), so targets and stops widen in volatile regimes and tighten in quiet ones. Position exits: one third at 1R, one third at 2R, the remainder at 3R, with a stop at 1.5R (all adjustable). Direction can be restricted to long-only or short-only.
PROPERTIES USED IN THE PUBLISHED BACKTEST
10,000 initial capital, 10 percent of equity per trade, 0.01 percent commission per order, 2 ticks slippage, no pyramiding, orders on close. These are deliberately conservative; adjust them to match your own broker before drawing any conclusion.
PANEL
Match similarity, volatility regime, forecast direction, closed trade count and win rate.
NOTES
The analog projection is a statistical reference, not a prediction, and past behaviour does not guarantee anything about the future. Results vary by symbol and timeframe; test on your own market with realistic costs before considering any live use. This is an educational tool, not financial advice. Strategi
Fractal Memory Projection [Jayadev Rana]Fractal Memory Projection searches price history for the moment that most resembles the present, then shows what happened next - drawn on your chart as 50 lighter ghost candles ahead of the current bar - together with trend-flip BUY and SELL signals and volatility-adaptive targets.
HOW THE FORECAST WORKS
The last 30 closes are converted to normalized log returns (the pattern window). The script scans up to 750 past bars and scores every historical window of the same length by mean squared distance, so the comparison is about the shape of movement, not price level. The bars that followed the best match are replayed forward from the current close, rescaled by the ratio of current ATR to ATR at the match, and drawn as 50 semi-transparent ghost candles beyond the last bar. The panel reports the match similarity, how many bars ago it occurred, and the net forecast direction.
The projection is a statistical analog - a look at how the most similar past episode unfolded - not a prediction or a guarantee. It is display-only and never affects historical values, so nothing repaints.
BUY AND SELL SIGNALS
An ATR trailing stop tracks the trend. When it flips direction, a BUY or SELL label prints - by default only when the ghost-candle forecast agrees with the flip direction (toggle available). Alerts are included for both signals.
VOLATILITY-ADAPTIVE TARGETS
Target spacing is not fixed. A unit of risk R equals ATR multiplied by (0.8 + ATR percentile rank over 200 bars), so quiet markets produce tighter targets and volatile markets produce wider ones. Each signal sets TP1, TP2 and TP3 at 1R, 2R and 3R and a stop loss at 1.2R (adjustable). Only the most recent trade's levels are kept on the chart to stay clean.
PANEL
Match quality percent, bars since the match, volatility regime (Low, Normal, High), forecast direction, and current trend side.
SETTINGS
Pattern window, scan depth, forecast length, ghost candle colors, ATR length, trail multiplier, forecast-agreement filter, stop multiplier, and panel position are all configurable.
NOTES
Works on any symbol and timeframe with enough history (at least scan depth plus forecast length bars). This is an analysis tool, not financial advice. Test on your own data and manage risk before trading. Penunjuk
Cardwell Dual Confluence [MarkitTick]💡 A comprehensive momentum and trend-following framework built to identify high-probability market shifts. By synthesizing Andrew Cardwell's established Relative Strength Index (RSI) range rules with dynamic trend filtering and volatility metrics, this tool provides a unified analytical engine. It moves beyond standard oscillator readings to map the underlying momentum regime, ensuring that signals are structurally aligned with the dominant trend.
● ✨ Originality and Utility
Traditional momentum oscillators often produce premature reversal signals during strong trends, leading to false entries in directionless markets. This indicator solves that problem by integrating a dual-tier confluence model. It does not rely solely on an isolated RSI moving average crossover; instead, it demands structural validation through Cardwell's defined momentum ranges.
The primary utility lies in its objective structural filtering: a momentum cross is only validated if the broader market regime structurally supports the direction of the momentum.
By combining a base timeframe momentum cross with a Higher Timeframe (HTF) trend regime and Average Directional Index (ADX) volatility filtering, this tool prevents overtrading in choppy, non-directional environments.
This deliberate combination of an oscillator, a trend filter, and a volatility metric acts as a logical confluence engine. It avoids the pitfalls of disjointed indicator mashups by ensuring every component serves a distinct mathematical purpose in validating the signal before it is printed to the chart.
● 🔬 Methodology and Concepts
The logic engine of this tool evaluates multiple distinct criteria before registering a valid signal.
• Momentum Crossover
The script calculates a base RSI and smooths it using two Running Moving Averages (RMA): a Fast RMA and a Slow RMA. A baseline momentum shift occurs when the Fast RMA crosses the Slow RMA, indicating a localized surge in buying or selling pressure.
• Regime Mapping
A structural trend is evaluated by comparing the closing price to a Simple Moving Average (SMA). Simultaneously, a secondary RSI is evaluated against Cardwell's defined structural ranges. A Bullish Regime requires the price to be above the SMA and the RSI to hold within a specific upper tier (defaulting to 40-80). A Bearish Regime requires the price to be below the SMA and the RSI to hold within a lower tier (defaulting to 20-60).
• Confirmation and Confluence
Regimes must persist for a user-defined number of consecutive bars to filter out transient market noise. Confluence is achieved when an RMA momentum crossover occurs within a tight, predefined window of a regime shift, ensuring both immediate momentum and the structural trend are perfectly aligned.
• Higher Timeframe and Volatility Verification
An optional HTF module checks the regime state of a larger timeframe using a strict non-repainting historical offset. Furthermore, the ADX is calculated to measure pure trend strength. If the ADX is below the user-defined minimum threshold, the market is deemed too choppy, and all signals are suppressed.
• Dynamic Trade Architecture
Once a signal is validated strictly on a confirmed bar close, the script projects dynamic Stop Loss and Take Profit levels using a multiplier of the Average True Range (ATR), actively adapting the trade geometry to current market volatility.
● 🔍 Deconstruction of the Underlying Scientific and Academic Framework
The analytical foundation of this tool rests on advanced momentum physics and statistical distribution theories.
• Cardwell RSI Range Theory
Developed by Andrew Cardwell, this theory posits that the Relative Strength Index is not merely an overbought/oversold oscillator, but a powerful trend-identifying metric. In a mathematically robust uptrend, the RSI establishes a baseline support near the 40 level and frequently reaches 80. Conversely, in a downtrend, it establishes resistance near 60 and drops to 20. The indicator algorithmically enforces these limits to objectively classify market environments.
• Running Moving Average (RMA) Dynamics
The script utilizes the RMA, also known as the Modified Moving Average (MMA) or SMMA, to smooth the RSI base. The RMA applies an exponential smoothing weight defined exactly as 1 / length . This specific mathematical weighting retains a longer memory of past data compared to a standard SMA, preventing the abrupt drop-offs that occur when large data points exit a simple moving average window. This makes the RMA crossover highly sensitive to genuine shifts in cumulative momentum without the lag of a standard exponential moving average.
• Average Directional Movement Index (ADX)
Created by J. Welles Wilder, the ADX quantifies trend strength independent of directional vector. By calculating the smoothed moving averages of the +DI and -DI directional movement indicators, the ADX isolates the absolute magnitude of price expansion. The script uses this mathematical isolation to construct an absolute threshold; requiring ADX to exceed a base level ensures that the statistical probability of trend continuation is mathematically viable before capital is exposed.
• Volatility-Scaled Projection (ATR)
Take profit and stop loss coordinates are mapped using Wilder's Average True Range. The ATR measures the greatest of the current high minus the current low, the absolute value of the current high minus the previous close, and the absolute value of the current low minus the previous close. By scaling targets using ATR multipliers, the tool shifts from fixed-point geometry to dynamic, standard-deviation-aligned targeting, ensuring targets expand during high volatility and contract during consolidation.
● 🎨 Visual Guide
The tool employs a clean, visually dynamic chart interface to transmit complex data instantly without cluttering the workspace.
• Heatmap Candles
Candle bodies and wicks are dynamically colored based on the active regime. Teal indicates a confirmed Bullish Regime, Red indicates a Bearish Regime, and Gray indicates a Neutral market state.
• Signal Labels
When all confluence parameters are met on a confirmed bar close, a solid blue "BUY" label appears below the bar, or an orange "SELL" label appears above the bar, complete with strict execution markers.
• Dynamic Trade Levels
Upon signal generation, the tool plots projected trade levels extending to the right of the price action. A solid Red line indicates the Stop Loss threshold. A dashed Blue line denotes the Entry price. Dashed Teal lines represent Take Profit 1, 2, and 3. Labels accurately print the precise price levels directly on the chart axis.
• Risk and Reward Fills
A semi-transparent Red linefill is plotted between the Entry and Stop Loss lines to visualize risk exposure, while a Teal fill between Entry and TP3 visualizes the total projected reward structure, allowing for instant visual evaluation of the trade setup.
• Integrated Dashboard
A comprehensive table is positioned on the chart, displaying real-time operational metrics. It details the current Cross Trend, Regime State, Confirm Bar count, Signal Gap status, Last Signal source, Trade Status, live ATR value, TP3:SL ratio, and HTF/Chop Filter states in an easy-to-read grid.
● 📖 How to Use
Deploying this tool requires patience and strict adherence to structural confirmation.
Wait for the Heatmap Candles to shift from Gray (Neutral) to Teal (Bullish) or Red (Bearish). This indicates that the broader moving average trend and the internal RSI ranges have aligned into a confirmed structural regime.
Observe the chart for a printed BUY or SELL label. This confirms that the RMA momentum cross has achieved mathematical confluence with the active regime within the defined allowable window.
Check the Dashboard to ensure the HTF Regime and Chop Filter (ADX) read as PASS. If the market is blocked by the Chop Filter, do not force an entry, as the statistical probability of a sustained run is low.
Upon entry, utilize the plotted ATR lines to structure your risk. Place your stop loss exactly at the solid red line, and scale out of your position at the dashed TP1, TP2, and TP3 levels as price action develops.
Wait for the Signal Gap cooldown period to elapse before considering consecutive entries in the same direction. This engineered delay prevents overexposure during erratic, volatile spikes.
● ⚙️ Inputs and Settings
The script features highly customizable parameters grouped logically for maximum workflow efficiency.
• Core Settings
Adjust the lengths for the Cross RMA (Fast/Slow) and the primary RSI source. Modify the Trend MA length and explicitly set the boundaries for the Bull Range (default 40-80) and Bear Range (default 20-60). Configure the Confluence Window to define exactly how close a cross and regime shift must occur to trigger a valid signal, and set the Signal Gap cooldown timer.
• Filters
Toggle the HTF Confirmation logic and select the desired higher timeframe for broader structural alignment. Enable the ADX Chop Filter and set the minimum required trend strength to strip out low-probability environments.
• Trade Tools
Define the ATR lookback length and customize the specific multipliers for the Stop Loss and the three Take Profit targets to match your unique risk-to-reward requirements. Modify the Line Extend Bars input to control how far into the future the trade levels are drawn.
• Visuals and Dashboard
Toggle individual visual components, including candle coloring, signal labels, and trade level plotting. Position the dashboard to any corner of the chart to prevent the obstruction of live price action.
• Alerts
Input specific JSON string payloads for Long, Short, Close Long, Close Short, SL, and TP actions. This allows the indicator to integrate seamlessly with automated execution platforms or third-party webhooks without requiring manual code modifications.
⚠️ 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. Penunjuk
Penunjuk
