NQ/MNQ Super Scalper [BACKTEST]NQ/MNQ trend-following scalper. 1-min chart, runs all sessions 24/5.
6 entry paths — BOS, RE, OB, TRAP, and a high-conviction main signal — all scored through an 8-factor confidence engine (structure, momentum, flow, volume, regime, Hurst, ADF, HTF alignment). Every parameter is dynamic and session-aware. Nothing hardcoded.
TP scales per path, per session, per regime. SL is structural with a 3 ATR hard cap. Smart exits monitor 9 patterns and pull the trade if the thesis breaks before TP.
No martingale. No grid. No fixed lots. Most bars produce zero signals — entries require real confluence.
Backtest — MNQ, 1-min, 1 yr:
2,934 trades | 63.7% win rate
PF 1.23 | Sharpe 0.51 | Sortino 2.04
Pyramiding 20 | $0.62/contract | 2 tick slippage
process_orders_on_close = false
no barsSince counters. 8 session windows with independent tuning. AER regime detection, Hurst persistence filter, ADF stationarity, HTF veto. Per-path TP multipliers backed by signal×session performance data.
Built for NQ/MNQ only. Designed to run alongside a counter-trend companion for full coverage. Strategy
Wave 3 Sniper SystemWave 3 Sniper System with AI - Precision Trend & Wave Analysis
Overview
Experience the next level of market analysis with the Wave 3 Sniper System with AI. This indicator is specifically designed to identify high-probability "Wave 3" setups—the most explosive phase of market trends. By integrating advanced AI-driven algorithms, the system filters out market noise and pinpoints precise entry and exit zones, as seen in the current XAUUSD (Gold) chart.
Key Features:
AI Trend Filtering: Uses machine learning logic to confirm trend direction, ensuring you're always on the right side of the market.
Wave 3 Detection: Specifically tuned to catch the strongest momentum waves for maximum R:R (Risk-to-Reward).
Visual Signals: Clear "W3 BUY" and "W3 SELL" flags with dynamic support/resistance levels.
Optimized for Gold (XAUUSD): While versatile, this system excels in high-volatility environments like Gold Spot.
Current Market Insight (XAUUSD):
As shown in the attached chart, the system recently signaled a W3 SELL near the 4,830 level, accurately capturing the bearish momentum. The AI is currently monitoring a consolidation zone near 4,795 for the next impulsive move.
Exclusive Partner Offer 🎁
To get the most out of this system, I recommend using PulseWire’s Premium features for real-time alerts and deeper backtesting.
Special Benefit for My Community:
If you haven't upgraded your PulseWire plan yet, use the link below to sign up. You will receive a $15 discount coupon toward your new plan immediately!
👉 www.pulsewire.com OANDA:XAUUSD
Sign up within 90 days via the link above to claim your $15 credit and access professional tools that complement the Wave 3 Sniper System.
Disclaimer:
Trading involves significant risk. This script is for educational and analysis purposes only and does not constitute financial advice. Indicator
Indicator
Liquidity Surge Forecast with Win Rate [TechnicalZen]Publishing this v2 with Proven performance dashboard for scalpers.
What This Is
A 3D liquidity-and-momentum visualization with a built-in, MFE-verified win-rate dashboard.
Two independent systems — Money Flow (MFI-driven) and Price Current (Hull-VWMA or signed-ADX) — render as layered terrains inside a bounded 3D box. When both systems agree on direction, a whale surfaces: 🐳 bullish, 🐋 bearish. Every whale is tracked. Every outcome is scored. The dashboard prints the running win rate on your chart, on your instrument, on your timeframe. Live.
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Built On Money Flow Dynamics Forecaster 3D
This is the next iteration. Same solid confluence-detection engine, rebuilt rendering, and a performance dashboard on top for visual proof of how the system is doing.
Improvements over v1:
Win-rate dashboard with ATR-scaled MFE — every 🐳 / 🐋 signal is now tracked and scored. Each signal resolves when the next one fires, judged by directional close or MFE ≥ 0.5 × ATR. No more hand-waving about "does this actually work."
Seamless carpet terrain — layered strips share color between fill and outline. No visible seams; the terrain reads as one continuous surface.
Dotted wave contours — each HMA layer traces as a dotted line along its depth, like isobars on a topographic map. Wave shape is visible at a glance.
Depth fog gradient — far Z layers tint toward atmospheric navy-violet. Real 3D depth perception without extra wireframe.
Dotted wireframe, emphasized horizon — box edges and grids are dotted (quieter), while the Y=0 tide line is kept solid and bold as the one structural anchor that should stand out.
Unified ADX-mode terrain — ADX mode now renders a proper 12-layer terrain (v1 fell back to a single-ribbon). Both oscillator modes share identical visual grammar.
Cleaner defaults — Yaw −20°, Pitch 15°, axis markers off, back-wall grid off, mesh columns removed. Less visual noise out of the box.
Bug fixes — ring-buffer wrap when Slope Lookback > Time Span ; ADX-mode second-signal for the emoji confluence check; dead inputs cleaned up.
If you're coming from v1, interpretation is identical — same riders, same whales, same color semantics. The new dashboard simply gives you a way to measure how often confluence actually pays off.
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The Win-Rate Dashboard — Proof, Not Claims
Most indicators claim a success rate. This one measures it.
Every 🐳 / 🐋 signal is recorded at its first bar of entry and held pending — until the next signal fires. At that moment the indicator judges the previous signal by two criteria :
Directional close — did price close favorable at the next signal's bar? (bull: close > entry. bear: close < entry.)
MFE ≥ ATR threshold — did the favorable excursion between the two signals reach 0.5 × ATR (at the entry bar)? ATR multiplier is tunable.
Either criterion qualifies as a win. Direction alone is a win. MFE alone is a win. No fixed evaluation window — signals are judged against reality when the regime actually changes.
The threshold is volatility-relative : quiet instruments need small moves, volatile ones need larger moves. Always calibrated to the instrument, never arbitrary.
The dashboard shows:
Total bull and bear signals fired (resolved ones only — the most recent signal is pending until the next)
How many won
Rolling win rate, traffic-lit — green ≥ 60%, yellow 40–60%, red < 40%
Your ATR multiplier, printed right on the table
Why next-signal evaluation? Because fixed bar counts are arbitrary. A regime lasts as long as it lasts. When the next whale flips, the previous whale's journey is over — and that's the fair moment to judge it. Entry quality and regime persistence are both captured naturally.
The result: you don't trust marketing, you trust your own data . Every number is computed from your chart, right now, with your settings. Change the ATR multiplier, change the timeframe — the dashboard updates. This is how an indicator should prove itself.
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The Signal
Confluence requires agreement between two fundamentally different witnesses:
Money Flow — volume-weighted momentum (MFI). 20 Hull-smoothed layers (HMA 3 → HMA 60). Detects accumulation or distribution before price has to move.
Price Current — volume-weighted directional pressure (Hull-VWMA 2-bar slope, or signed-ADX HMAs). 12 layers. Detects committed displacement of price.
Money Flow leads. Price Current confirms. When both middle-layer slopes point the same way, a whale fires. That is the signal worth trading — not a crossover, not a threshold break, but two independent systems aligning.
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What You See
Layered dotted waves — each HMA smoothing horizon, stitched into a 3D carpet. Depth fog tints far layers into atmospheric haze for real 3D perception.
Forecast terrain — each layer slope-extrapolated with exponential decay into the future half of the box.
🏄♂ Surfer — rides the Money Flow leading edge (the impulse).
⛵ Sailboat — rides the Price Current leading edge (the trend).
🐳 / 🐋 Whale — surfaces at the forecast edge when both slopes agree. Confluence confirmed.
Dashboard — running win rate, always visible.
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How to Use
Load with defaults. Switch chart to Volume Candles.
Check the dashboard — what is your current win rate on this instrument / timeframe?
Tune Win Threshold (× ATR) to match how strict you want the measurement to be — 0.3×ATR = loose, 0.5×ATR = balanced (default), 1.0×ATR = strict.
Watch for 🐳 or 🐋. They are rare by design.
On a whale, align with the direction. On no whale, stand aside. Let the dashboard keep scoring.
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Best Paired With Smart Candle Structures
This indicator tells you whether and when to trust the flow. Smart Candle Structures tells you where to act — order blocks, fair-value gaps, liquidity sweeps, BOS / CHoCH zones.
Together: the right place, at the right moment, with a measurable win rate behind it.
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Key Settings
Time Span — past bars rendered and forecast horizon (default 15)
Momentum Source — MFI (default) or RSI
Oscillator Type — Hull-VWMA (default) or signed-ADX
Slope Lookback — bars used to compute the slope that fires whales (default 4)
ATR Length — lookback for volatility scaling the win threshold (default 14)
Win Threshold (× ATR) — minimum favorable excursion between signals, as a multiple of ATR at the entry bar (default 0.5 × ATR)
Depth Fog Strength — atmospheric depth gradient on far layers (default 0.55)
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Disclaimer
This is a visualization and analytical tool, not financial advice or a signal service. The dashboard measures what has happened on your chart; it does not predict what will. Markets are reflexive. Past performance does not guarantee future results. Trade with your own risk management. Every trade can lose.
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Confluence you can measure.
— TechnicalZen
Indicator
Aaryan EPS/ SalesAaryan EPS/ Sales
A comprehensive earnings and sales overlay that puts fundamental data directly on your price chart — quarterly results at a glance without leaving the chart window.
What it shows
The indicator displays two data tables and result-day labels on the chart:
Yearly Table shows EPS, year-over-year EPS growth, Sales (in Cr), year-over-year Sales growth, OPM%, PE, ROE, and EV/EBITDA for up to N years. Market cap is displayed in the header.
Quarterly Table shows EPS with QoQ growth and Sales with QoQ growth for up to N quarters. Stripped down to essentials — no price clutter.
Result Day Labels an arrow label is placed on the candle where quarterly results were declared. You choose what the label displays by ticking any combination of: EPS absolute value, EPS YoY growth %, and Sales YoY growth %. Multiple selections appear together separated by a pipe (e.g. "Mar-25: EPS:12.3 | E:+25% | S:+18%").
Customizable Settings
Everything is configurable from the settings panel:
- Toggle yearly table, quarterly table, and labels independently on or off
- Choose positive/negative growth colors (not locked to green/red)
- Set number of years and quarters to display
- Position each table anywhere on the chart (top/middle/bottom, left/center/right)
- Pick label size, color, and placement (above or below bar)
- Select which data points appear on result labels (multi-select checkboxes)
- Dark/light theme support
Data Source
All financial data is pulled from PulseWire's built-in financial functions using FactSet earnings timestamps for accurate result-day detection. Sales figures are displayed in crores.
--- Indicator
Forex H/L Levels# Forex H/L Levels — Day / Week / Month / Sessions
A single indicator that plots the running high and low of the current Day, Week, Month and of the four major Forex trading sessions (Sydney, Tokyo, London, New York) as horizontal levels with optional labels.
It is designed for day-traders and scalpers who use session highs/lows and higher-timeframe extremes as key liquidity and reaction points.
## Features
- **Higher-timeframe H/L** – rolling Day, Week and Month high & low, updated live on every candle.
- **Session H/L** – separate high and low for each session:
- Sydney 21:00–06:00 UTC
- Tokyo 00:00–09:00 UTC
- London 07:00–16:00 UTC
- New York 12:00–21:00 UTC
All time windows are computed in UTC, so the indicator behaves identically regardless of the chart’s timezone.
- **Fully customisable** – every level group has its own show/hide toggle, colour for the high and low, line style (solid / dashed / dotted) and line width.
- **Session background shading** – optional subtle tint for the currently active session so you can see at a glance who is driving price.
- **Smart, non-overlapping labels** – every enabled level is labelled with its name and exact price. When two or more levels are close in price, the labels are automatically laid out side-by-side in columns instead of stacking on top of each other. The "closeness" threshold is expressed as a multiple of ATR(14) and is user-configurable, so it adapts to any instrument or timeframe.
- **Non-repainting** – all lines and labels are drawn only on the last confirmed bar and are fully refreshed on every tick, so levels never duplicate and never repaint historical bars.
## Inputs
- **Daily / Weekly / Monthly** – show toggle, high colour, low colour, line style, line width.
- **Sydney / Tokyo / London / New York** – same controls as above; background shading is controlled by the same "show" toggle.
- **Labels**
- *Show level labels* – master toggle.
- *Label offset (bars right)* – how far to the right of the last bar the labels sit.
- *Label column spacing (bars)* – horizontal distance between columns when labels overlap.
- *Overlap threshold (× ATR14)* – labels whose prices are within this many ATR(14) of each other are placed side-by-side. Increase it if labels still visually overlap on your chart; decrease it if you want labels to stack only when truly on top of one another.
## How to use
1. Add the indicator to any chart (Forex, indices, crypto, stocks — all work).
2. Enable the level groups you care about from the settings panel.
3. Use the higher-timeframe levels (Daily / Weekly / Monthly H/L) as major S/R and breakout zones.
4. Use the session H/L as intraday liquidity pools — price very often sweeps the prior session’s high or low before reversing or continuing.
5. Tune the *Overlap threshold* so labels read cleanly on your timeframe; on intraday charts 0.3–0.5 × ATR works well, on higher timeframes 0.5–1.0 × ATR is usually enough.
## Notes
- London and New York overlap between 12:00 and 16:00 UTC — during that window both sets of levels will be visible, which is intentional and matches how traders actually watch those sessions.
- Because the indicator renders only on the last bar, scrolling back in time will not show historical session boxes; the goal is a clean, current snapshot of active levels, not a full historical replay.
## Disclaimer
This script is provided for educational and informational purposes only and does not constitute financial advice. Levels drawn by any indicator are objective price references — how you trade around them is your own responsibility. Past performance is not indicative of future results.
Open source — feel free to use, study and adapt. Indicator
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Indicator
Koda Full SystemKoda Full System – (In Developement)
What It Does
The Koda Full System is a structured trading indicator designed to identify high-probability liquidity sweeps (KLS setups) using a combination of:
• Liquidity sweeps (stop hunts)
• Market structure confirmation (BOS)
• VWAP bias filtering
• ATR-based volatility and risk alignment
• Session-based timing (Asian, London, New York)
It not only finds trade opportunities but also provides built-in risk levels, targets, and a quality score for each signal.
________________________________________
Core Features
1. KLS Signals (Koda Liquidity Sweep)
The indicator detects when price:
• Sweeps a previous high or low (liquidity grab)
• Shows rejection (wick confirmation)
• Optionally confirms with:
o Break of Structure (BOS)
o VWAP alignment
o Minimum ATR-based move
Outputs:
• KLS Buy
• KLS Sell
________________________________________
2. Smart Session Filtering
Only generates signals during selected sessions:
• Asian
• London
• New York
Helps you trade when liquidity is actually present.
________________________________________
3. ATR-Based Risk System
Uses daily ATR to automatically calculate:
• Stop loss distance
• Target levels (TP1, TP2)
• Minimum valid sweep size
Keeps your trades aligned with volatility.
________________________________________
4. Built-In Trade Levels
When a signal appears, it plots:
• Stop Loss (red dashed line)
• Target 1 (green dashed)
• Target 2 (green solid)
________________________________________
5. Trade Quality Score (0–100)
Each setup is scored based on:
• Sweep validity
• BOS confirmation
• VWAP alignment
• ATR strength
• Session validity
Helps you filter out weak setups.
________________________________________
6. Dashboard (Movable)
Displays:
• ATR and 30% ATR
• Minimum sweep size
• Session status (ACTIVE/OFF)
• VWAP / BOS status
• Current signal
• Trade quality score
Can be placed:
• Top / Bottom
• Left / Center / Right
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How to Use It
Step 1: Choose Your Sessions
Enable only the sessions you trade:
• Scalpers → London + New York
• Swing traders → All sessions
________________________________________
Step 2: Wait for KLS Signals
Look for:
• KLS Buy below price → potential long
• KLS Sell above price → potential short
________________________________________
Step 3: Confirm Conditions
Higher-quality trades:
• Score ≥ 70
• Align with VWAP direction
• Occur during active session
• Strong rejection wick
________________________________________
Step 4: Use Auto Risk Levels
When a signal prints:
• Entry: current close
• Stop: ATR-based
• Targets: TP1 and TP2
You can plug these directly into bracket orders.
________________________________________
Step 5: Manage the Trade
• Take partial profit at TP1
• Let runner go to TP2
• Exit early if structure breaks
________________________________________
Best Practices
• Avoid trading outside selected sessions
• Ignore signals with low quality scores
• Do not override stops (they’re volatility-based)
• Combine with your own bias (trend, higher timeframe)
________________________________________
Ideal For
• Scalpers (especially NASDAQ / ES / MNQ)
• Intraday traders
• Traders using liquidity + structure concepts
________________________________________
Simple Strategy Example
Buy Setup:
• KLS Buy appears
• Score ≥ 70
• Price above VWAP
• During London/NY session
Enter long → use plotted stop → target TP1/TP2
________________________________________
Bottom Line
The Koda Full System helps you:
Trade only when liquidity, structure, volatility, and timing all align.
It removes guesswork and replaces it with:
• Clear signals
• Defined risk
• Measurable trade quality
________________________________________
If you want, I can also:
• Turn this into a PulseWire description page
• Or simplify it into a quick cheat sheet for daily use
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Money Flow Dynamics Forecaster 3D [TechnicalZen]The art of swimming with the whales 🐳
What is this?
MFDF 3D provides a topological three-dimensional mapping of current market drivers and potential future trajectories.
is a visual analysis indicator that compresses several ideas into one spatial model: recent history, layer depth, directional amplitude, and short-term forward continuation.
Visually a three-dimensional momentum ocean where two independent systems — Money Flow (MFI-driven) and Price Current (Hull-VWMA-driven) — are rendered as layered terrains inside a bounded 3D box. Past history forms a waved carpet; the future is slope-extrapolated with exponential decay. When both systems agree, whales appear — 🐳 when the tide is rising, 🐋 when it's falling.
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The Metaphor — Swimming With the Whales
Markets do not move on their own. They move because whales move them — large institutional players whose positions are too big to enter or exit in a single candle. A pension fund building a position, a market maker hedging a block, a macro desk rotating out of a sector — none of them can step in without leaving ripples.
When whales move, they leave two distinct footprints in the tape:
Money Flow — volume concentrated at favorable prices. You don't see it as a price change at first; you see it as buying pressure accumulating . MFI, weighted by volume, detects this before it becomes price.
Price Current — the volume-weighted tide. Once enough pressure accumulates, price itself has to drift in the direction the whale is pushing. Hull-VWMA slope tracks this.
Retail traders typically see only the second footprint — price moving. By then the whale is already positioned. Money Flow shows you the first footprint before price has to respond, which is why MFI leads VWMA in this indicator.
The goal is not to catch the whale — you can't. The goal is to see the ripples early enough to swim with the tide instead of against it. That's what "swimming with the whales" means: recognizing the institutional current and aligning with it, instead of fading it and getting dragged under.
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The Fluid Dynamics
Every oscillator you've used is a single line. MFI is one line. RSI is one line. MACD is two lines and a histogram. They're flat because they pick one smoothing length and commit to it. You see where momentum is; you don't see its shape .
This indicator draws a family of 20 Hull-smoothed Money Flow variants simultaneously , each using a different HMA length (3, 4, 5, 6, 8, 10, 12, 14, 17, 20, 23, 26, 30, 34, 38, 42, 46, 50, 55, 60). Short HMAs foam at the surface, reacting instantly. Long HMAs move like glaciers. Stitched together across time and depth, they form a genuine fluid — ripples, waves, surges, cascades, turning-tides — not a line, a current.
The Hull-VWMA carpet is the same idea on a second dimension: 12 depth layers, each the 2-bar percentage slope of a Hull-smoothed Volume-Weighted Moving Average. This is your price current : where the volume-weighted tide is moving, independent of momentum.
Two independent Wireframes. Shared 3D box. When they agree, the whale arrives.
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The 3D Box
Axes:
X — time (past bars left of center, forecast right)
Y — amplitude, signed ±100 (positive = bullish, negative = bearish)
Z — depth layer (each HMA length sits at a different depth)
Reference planes:
The translucent Y=0 plane is momentum neutrality — where MFI = 50, VWMA slope = 0. Wireframes rise above it when bullish, sink below when bearish.
The X=0 plane marks the current candle. Everything to the left is memory; everything to the right is forecast.
Nine labeled points (A–I) on the Y=0 plane let you orient instantly.
Riders:
🏄♂ — rides the leading edge of the Money Flow terrain (HMA 20 middle layer)
⛵ — rides the Price Current leading edge (Hull-VWMA slope in Hull-VWMA mode, signed-ADX HMA in ADX mode)
🐳 — breaches at the forecast end when both slopes are bullish
🐋 — dives at the forecast end when both slopes are bearish
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Color Aesthetics
The color choices are not random — they carry semantic weight.
Money Flow terrain uses traffic-light logic:
Yellow at neutral (v ≈ 0)
Yellow → Green as bullish momentum grows
Yellow → Red as bearish momentum grows
Solid green above +50, solid red below −50
Hull-VWMA carpet uses a water palette:
Light blue at neutrality — still water
Light blue → Cyan as money flows in
Light blue → Maroon as money flows out
Transparency encodes magnitude: weak signals fade to nearly invisible, strong signals saturate. You read intensity at a glance, without staring at a number.
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The Forecast
Past Wireframes tell you where you've been. The right half of the box projects where you're heading .
Each of the 20 + 12 = 32 HMA layers gets slope-extrapolated into the future:
future = current + slope · t · decay^t
slope is computed from the last N bars (default 4)
decay (default 0.92) is the honesty multiplier — the further out you go, the less confident the projection, so the slope contribution fades
All forecast values clamp to ±100 so they never escape the box
Rendered as translucent ghost terrain in the forecast half, colored with the same palette as the past but softer. You see the shape of projected momentum , not a point estimate.
When both the Money Flow middle-layer slope AND the Hull-VWMA middle-layer slope agree on direction, a whale surfaces at the forecast's far edge. This is confluence — two independent systems pointing the same way. That's the signal worth swimming toward.
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The Two Riders — Surfer vs Sailboat
The two emojis on the present-boundary are not decoration. They represent two fundamentally different kinds of signal — and understanding the difference is the whole game.
🏄♂ The Surfer — rides the Money Flow terrain. Surfers feel the impulse : every short wave, every gust of buying or selling pressure, every sudden shift in volume-weighted momentum. Surfers are fast, reactive, sensitive. What the surfer tells you: "the wind just picked up" — or "it just died." This is the quick, leading signal.
⛵ The Sailboat — rides the Price Current carpet. Sailboats don't react to gusts; they set their course by the trend — the steady directional pressure of the volume-weighted tide pushing the boat one way or the other. Slow, deliberate, confirmed. What the sailboat tells you: "the current is actually carrying us this way now." This is the confirming, lagging signal.
These are two different kinds of information, not two views of the same thing:
The surfer sees the impulse before it matures into committed direction.
The sailboat confirms that the impulse has turned into real directional displacement.
When both agree — surfer AND sailboat pointing the same way — momentum builds faster than either signal could account for alone. That agreement is the proof that big money isn't just testing the waters; they're actually moving them. That's when a whale surfaces.
Surfer alone = wind, no commitment yet. An impulse without confirmation — interesting but unconfirmed.
Sailboat alone = drift, no fresh push. A trend without new pressure — may be tired.
Surfer + Sailboat = whale. Both fresh impulse and committed direction. Institutional participation confirmed.
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Reading the Whales — What They Mean For Decisions
A whale is not a liquidity-grab signal. It is a confluence signal: both independent systems have agreed on direction at the same time.
🐳 — Money Flow and Price Current are both rising. Buyers are accumulating AND getting filled at progressively higher prices. This is sustained pressure, not a stop-hunt or a single-bar spike.
🐋 — Both falling together. Selling pressure AND price giving ground in lockstep.
No whale — the two systems disagree, or both are flat. Low-conviction zone.
Decision framework
🐳 → align long, don't fade. This is a conviction trade, not a reversal bet. Big money is actually pushing the tape, so size up with the tide instead of against it.
🐋 → exit longs or consider shorting. Don't buy the dip blindly — the volume-weighted price is confirming the sellers, not fighting them.
No whale → stand aside, or scale out of existing positions. Wait for confluence before committing fresh risk.
The mental model: "is big money actually moving the tape right now, or just shuffling?" Whale = pushing. No whale = shuffling.
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Helpful Tip — Money Flow Leads Price Current
How to Use It in Practice
The best way to use the indicator is to read it in layers. It is not a one-glance yes or no system. Its advantage comes from helping the user see whether a move has internal support, whether the structure is broadening or thinning, and whether the present slope still has credible continuation.
• Start with orientation: Keep the default camera first. Learn where the zero plane is, where present time sits, and how positive and negative terrain occupies the box.
• Read the momentum terrain first: Look for height, curvature, and continuity across layers. A broad aligned rise or fall is stronger than a single sharp spike on only the fast layers.
• Check the oscillator carpet next: In Hull-VWMA mode, ask whether price-current slope supports momentum. In ADX mode, ask whether directional trend strength is building under the move.
• Inspect the forecast half: Use the ghosted forward half as a continuation sketch, not as a promise. Flattening structure, decaying height, or diverging layers often matter more than the exact projected endpoint.
• Use the whale as confirmation, not as the whole trade: The whale is most useful when it appears after the terrain has already become coherent, not when the picture is still fragmented and noisy.
Practical setup profiles
Fast tape
Suggested mode: MFI + Hull-VWMA
What to emphasize: Steeper terrain changes and quicker second-signal response.
Reading style: Use for intraday pulse and immediate continuation checks.
Cleaner swing structure
Suggested mode: RSI + Hull-VWMA
What to emphasize: Broader curvature and less volume sensitivity.
Reading style: Use when the user wants smoother rhythm and cleaner layer alignment.
Trend-strength confirmation
Suggested mode: MFI or RSI + ADX
What to emphasize: Whether directional pressure is actually strengthening underneath the move.
Reading style: Use when momentum looks attractive but may be structurally weak.
In practice, the Money Flow terrain (yellow/green/red) turns before the Hull-VWMA carpet (cyan/blue/maroon) . Volume-driven accumulation and distribution show up in MFI first — price only has to move afterwards to reflect what already happened underneath.
What to watch for:
Momentum terrain flipping color while the carpet is still flat → early warning . A whale sighting may be forming but is not yet confirmed.
Carpet starting to tilt the same way → confirmation building . Slopes are aligning.
🐳 / 🐋 appears at the forecast edge → confluence . Both systems point the same way. Act.
Read the terrain first. Wait for the carpet to catch up. Act on the whale.
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Why This Is Different
Traditional oscillators answer: "what is momentum doing right now?"
This indicator answers:
What is money flow doing across every smoothing horizon at once? — the 20-layer Wireframe shows the full shape of momentum, not a single slice
What is the volume-weighted price doing independently? — the Hull-VWMA carpet is a second, independent witness
What do they predict together? — slope-extrapolated forecasts fill the future half; confluence emojis mark conviction
How strong is the signal? — opacity, saturation, and emoji presence are all quantitative encodings
No threshold to wait for. No line to cross. The ocean tells you where you are — and the whales tell you where it's heading.
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Best Used With Volume-Weighted Candles
Switch your PulseWire chart's bar type (top-left dropdown) to Volume Candles .
Here's why this matters: the Hull-VWMA layer is already volume-weighted mathematically. When the chart's candles are ALSO volume-weighted, every visible pixel speaks the same language — price, indicator terrain, and forecast are all reading the same volume-filtered reality.
Thin-volume wicks and gap-outs stop polluting the chart, so they stop polluting the forecast
🐳 / 🐋 confluence signals calibrate more cleanly because both the price action and the indicator see the same "what the volume actually cared about"
On plain OHLC candles the indicator still works — but low-liquidity price spikes can disagree with the terrain. On VWC they move in lockstep.
If you want one setup to remember: Volume Candles + this indicator + default settings . Swim with the whales.
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Best Paired With Smart Candle Structures
This indicator answers one question: "Is big money flowing, and in which direction?" It does not answer: "At what price level should I enter, exit, or place my stop?"
For that you need structural context — the levels where the market has historically reacted. Smart Candle Structures (order blocks, fair value gaps, liquidity pools, break-of-structure / change-of-character zones) maps exactly those levels.
The two tools are complementary, not redundant:
Smart Candle Structures gives you WHERE — the structural level worth reacting at.
MFD Forecaster gives you WHETHER AND WHEN — is the flow actually supporting a reaction here, and is it committed enough to act on?
The ideal workflow:
Smart Candle Structures highlights a level worth watching (an unfilled order block, a liquidity sweep, a CHoCH break).
Price arrives at that level. You don't act yet.
Watch this indicator: is the surfer turning? Is the sailboat joining? Is a whale forming in the forecast half?
Structure + confluence = your trigger. Structure without confluence = low-conviction trap. Confluence without structure = direction without location.
Pair them and you have both legs of the trade: the right place, at the right moment, with conviction .
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PulseWire Chart Stretch — Feature, Not Bug
Pine drawings live in chart coordinates (bar_index × price), so they stretch with your chart. Most indicator authors fight this. We lean into it.
Horizontal zoom → bar spacing changes → the 3D box widens or tightens organically. Zoom in tight to inspect individual layer positions; zoom out to see broad wave cycles.
Pane height changes → vertical proportions adjust. Invisible ±50 anchor plots lock the Y range so the box never jumps when values move.
Emojis scale with the pane — surfers and whales always read clearly at any zoom.
The indicator breathes with your viewport . That's what a real 3D visualization should do in a chart environment. It's responsive by design, not despite itself.
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Settings Overview
Core
Time Span — past bars rendered (default 15). Also the forecast horizon.
Momentum Source — MFI (volume-weighted, default) or RSI (pure price)
Momentum Length — 14 default
Rib Amplification — stretches the ribs vertically to fill the box
Oscillator (Hull-VWMA)
VWMA Length — default 30
HMA Length — default 20
Hull-VWMA Scale — amplifies the slope into ±100
Bull/Bear/Neutral Tint colors
Camera
Yaw — horizontal rotation (−180 to +180)
Pitch — vertical tilt (default 5° = eye-level)
Scale X / Y / Z — box proportions
Forecast
Slope Lookback — bars used to compute current slope (default 4)
Decay per Bar — how slope contribution fades into the future (default 0.92)
Display
Box Wireframe, Y=0 plane, Axis markers, Mesh wireframe, Grids (all togglable)
Show Emoji Markers — master toggle for all four emojis
Quick-Start Tips
Load with defaults.
Switch chart bar type to Volume Candles.
Watch for 🐳 and 🐋 — they're rare, by design. They mean confluence.
Read the color gradient — yellow is neutral, bright green / cyan is strong bull, red / maroon is strong bear.
Try yaw presets: 0 = front view, 45 = corner, 90 = side, 180 = back.
Lower time spans (10–15) for intraday, higher (25–40) for daily and weekly.
Money Flow leads Price Current. If the yellow/green/red terrain is already turning while the cyan/blue/maroon carpet is still flat, you're early — the whale hasn't confirmed yet, but it's forming.
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Disclaimer
This indicator is a visualization and analytical tool. It is not financial advice, a trade recommendation, or a signal service.
The whale emojis, forecast terrain, and slope extrapolations are mathematical projections from past data. They describe what has been and what linear decay would suggest next — not what markets will actually do. Markets are non-linear and reflexive; forecasts can and will be wrong.
No indicator eliminates risk. Confluence signals reduce noise, they do not guarantee outcomes. Every trade can lose.
Past performance — of this tool, or of any setup you build with it — does not predict future results.
Use with your own risk management (position sizing, stop placement, portfolio exposure). The indicator has no awareness of your account, your instruments, or your time horizon.
Do your own research. Consider speaking to a licensed financial professional before making investment decisions, especially on leveraged or derivative instruments.
By using this indicator you accept that all trading decisions and their consequences are your own. The author assumes no liability for losses incurred through use of this tool.
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The art of swimming with the whales.
— TechnicalZen
Indicator
ES Multi-SignalCole Multi-Signal B/S combines five battle-tested indicators into a single, vote-based buy/sell system designed for intraday traders on the 15–30 minute chart.
The script aggregates signals from Keltner Channels (volatility breakouts), Williams Alligator (trend confirmation via three smoothed moving averages), VWAP (institutional price bias), RSI (momentum positioning), and MACD (trend + momentum crossover). Each indicator casts an independent bull or bear vote on every bar, and a BUY or SELL label prints only when at least 3 of 5 agree — filtering out the noise that plagues single-indicator systems.
Features:
Majority-vote mode (3/5) for balanced signal frequency, or strict mode (5/5) for high-conviction setups only
Built-in signal deduplication — no repeat labels until direction actually flips
On-chart score breakdown showing exactly which indicators confirmed each signal
Fully configurable lengths, multipliers, and thresholds for every component
Alert conditions ready for PulseWire webhooks (Discord, brokers, custom apps)
Best used on: SPY, QQQ, and liquid large-caps on 15m–1H charts during regular market hours. VWAP anchoring resets each session, making this especially effective for intraday setups.
Not financial advice. Always backtest and paper-trade before committing capital. Indicator
ORB + Volume + VWAP BreakoutA disciplined intraday breakout indicator that combines three classic confirmations into a single signal: an **Opening Range Breakout**, a **volume surge**, and **VWAP trend alignment**. Designed to filter out low-quality breakouts and highlight only moves backed by participation and momentum.
## Concept
Opening Range Breakout (ORB) is one of the oldest and most robust intraday setups — the theory being that the first N minutes of the session establish the day's battleground, and a decisive break of that range signals directional commitment. On its own, however, ORB produces too many false signals. This indicator layers two institutional-grade filters on top:
- **Volume confirmation** — the breakout bar must print at least 1.5× the recent average volume, weeding out thin, low-conviction moves.
- **VWAP alignment** — price must be trading above VWAP, confirming that the average buyer of the day is in profit and bulls are in control.
Only when all three conditions align on the same bar does the indicator fire a signal.
## How It Works
1. At the start of each regular trading session, the indicator tracks the high and low of the first 30 minutes (configurable).
2. Once the opening range is locked, it monitors every subsequent bar for a close above the range high.
3. On each potential breakout, it checks that current volume exceeds 1.5× the 20-bar average (both configurable) and that price is above the session VWAP.
4. When all three conditions are met on the same bar, it plots a green triangle below the bar, highlights the background, and fires an alert.
5. The signal is de-duplicated so you get exactly **one alert per breakout leg**, not one per bar while price stays above the range.
## Visual Output
- **Blue line** — Opening Range High (active only during session)
- **Orange line** — Opening Range Low (active only during session)
- **Purple line** — Session VWAP
- **Green triangle + "BRK" label** — Breakout signal
- **Green background highlight** — Emphasizes the breakout bar
## Settings
- **Opening Range (minutes)** — Length of the opening range window. Default 30. Classic values: 15, 30, 60.
- **Regular Trading Session** — Session time string. Default `0930-1600` (US equities). Change for futures (`1800-1700`), crypto (`0000-0000`), or other markets.
- **Volume Multiplier** — How many times the average volume is required. Default 1.5. Use 2.0+ for stricter filtering.
- **Volume Average Length** — Lookback for the volume SMA. Default 20.
- **Show Opening Range / Show VWAP** — Toggle visual elements.
## Alerts
The indicator registers a `ORB Breakout` alert condition. To enable:
1. Right-click the chart → **Add Alert**
2. Set **Condition** to this indicator → **ORB Breakout**
3. Configure delivery (popup, email, webhook, etc.)
The alert message includes ticker and close price via PulseWire placeholders.
## ⚠️ Important Usage Notes
**1. Use on intraday timeframes lower than the opening range.** This indicator is built for 1m, 5m, or 15m charts with a 30-minute opening range. Running it on a timeframe equal to or higher than the OR window (e.g. 30m or 1h chart with 30-minute OR) will produce incorrect range values because the first bar of the session already spans the entire window or more.
**Recommended pairings:**
- 30-min OR → use 1m / 5m / 15m chart
- 15-min OR → use 1m / 3m / 5m chart
- 60-min OR → use 5m / 15m / 30m chart
**2. Match the session string to your instrument.** The default `0930-1600` is US stock market hours in the exchange's native time zone. If you apply this to futures, forex, or crypto, update the session input accordingly — otherwise the opening range will never register.
**3. Extended hours display does not break the indicator.** The session detection uses day-change logic rather than session-gap logic, so it works identically whether "Extended Trading Hours" is toggled on or off in chart settings.
**4. VWAP is session-anchored.** The built-in `ta.vwap()` resets each session automatically, matching how most traders read VWAP. If you need a weekly- or monthly-anchored VWAP, the script would need modification.
**5. Signals are confirmed on bar close.** Like all close-based indicators, signals can flicker intraday before the bar closes. For live trading, wait for the bar to close before acting, or use the `alert()` function with `barstate.isconfirmed` for non-repainting alerts (requires a minor code adjustment).
## Known Limitations
- **Long-only by design.** This version fires on upside breakouts with bullish VWAP confirmation. A short-side version would invert the logic (close < ORL, close < VWAP).
- **No automatic stop or target.** This is a signal indicator, not a complete strategy. Users should pair it with their own risk management (e.g. stop below opening range low, target at prior day's high, or ATR-based exits).
- **Volume filter is market-dependent.** A 1.5× multiplier works well for liquid US equities but may be too strict for low-volume names or too loose for high-volatility small caps. Tune to your universe.
- **First trading day on a new symbol.** On the very first session visible in your chart's history, the 20-bar volume average may be based on incomplete data. Subsequent days are unaffected.
- **Not intended for swing or position trading.** The opening range concept is intraday-specific and loses meaning on daily+ timeframes.
## Ideal Use Cases
- Momentum day trading on liquid US equities (SPY, QQQ, NVDA, TSLA, AAPL, etc.)
- Index futures (ES, NQ) during RTH
- Filtering gap-and-go setups for only the ones with genuine follow-through
- As a confirmation layer on top of your existing breakout watchlist
## Credits
Opening Range Breakout concept originally popularized by Toby Crabel (*Day Trading with Short Term Price Patterns and Opening Range Breakout*, 1990). Volume and VWAP confirmation filters are standard institutional trading practice.
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**Feedback welcome.** If you find a setup where the signals are consistently wrong (or consistently great), leave a comment with the ticker and timeframe — I'll use the data to refine future versions. Indicator
Indicator
Signal Projection ExplorerMany traders focus on building full strategies right away — combining entries, exits, stop-losses, take-profits, filters, and position sizing.
But there is a problem with that approach:
👉 It often hides the true quality of the underlying signal.
When multiple layers are added on top (risk management, opposite signals, overlays), it becomes very difficult to answer a simple but critical question:
“Is this signal actually good on its own?”
🎯 What this indicator does
This tool is designed to analyze raw signals in isolation.
Instead of jumping straight into a full strategy, it lets you explore:
👉 What tends to happen to the price after a signal occurs?
🔍 How it works
The script detects signals in historical data (Golder Cross in this script).
It collects all occurrences of those signals.
For each signal, it tracks price performance over the next X bars.
It then builds a distribution of outcomes and projects it forward from the current price.
📈 What you see on the chart
Instead of a single prediction, you get a range of historical outcomes:
🔴 Worst P&L → maximum adverse move after the signal
🟢 Best P&L → best-case outcome
🔵 25th percentile → lower bound of typical outcomes
🟠 75th percentile → upper bound of typical outcomes
⚪ Mean → average path
🟣 Median → typical (robust) path
All of these are projected forward from the current price, giving you an intuitive view of possible scenarios.
📋 Stats Table
The table summarizes key metrics at the selected projection horizon:
Number of signals used
Final P&L for each line (Worst / Best / Percentiles / Mean / Median)
Distribution metrics like Spread and IQR
This gives you a quick read on:
Expected return
Risk range
Outcome dispersion
🧠 Why this matters
This tool helps you:
Separate signal quality from strategy complexity
Understand risk vs reward before adding filters
Avoid overfitting strategies on weak signals
Build better systems from strong foundations
⚠️ Important note
This is not a prediction tool.
It shows historical tendencies based on past signals — not guaranteed future outcomes.
Always use it as:
a research tool
a context layer
not a standalone trading system
🚀 Final thought
Before optimizing entries, exits, and risk…
👉 Make sure your signal itself has an edge.
This indicator helps you see that clearly.
Indicator
Indicator
BTC TABI (Tops and Bottoms Indicator) Model TABI BTC Model
Overview
The TABI BTC Model is an 18-component composite oscillator designed to identify Bitcoin macro cycle tops and bottoms. It's a reverse-engineered and expanded implementation of the InvestAnswers TABI (Top And Bottom Indicator) concept, combining price-derived technicals, on-chain proxies, and cross-market signals into a single 0–100 score with a 7-color heatmap.
How It Works
Each of the 18 sub-metrics is percentile-ranked over a rolling 4-year lookback (1460 bars on Daily), multiplied by a configurable weight, then averaged and smoothed with a 5-period EMA. This normalization means every component contributes on the same 0–1 scale regardless of its raw units — solving the scaling problem that breaks most multi-indicator composites.
The 18 Components
Price-Derived (7)
350DMA Multiple, Mayer Multiple (200DMA), Pi Cycle Distance, Puell Proxy (365DMA), RSI(14), Log-Log Regression Position, Volatility Ratio (ATR)
PulseWire On-Chain Feeds (2)
MVRV Z-Score (BTC_MVRV), BTC Dominance Inverted (CRYPTOCAP:BTC.D)
On-Chain Approximations (2)
NUPL Proxy (2yr MA), Hodler Proxy (1yr/4yr MA ratio)
New Cross-Market & Flow Signals (7)
Monthly RSI — Multi-year cycle exhaustion; historically only fires >80 at confirmed tops
SOPR Proxy — Short-term return velocity vs. medium-term trend (profit-taking flow)
Reserve Risk Proxy — Price vs. accumulated long-term holder cost basis
ETH/BTC Ratio — Late-cycle altcoin rotation signal
Stablecoin Supply Ratio (SSR) — Dry powder / buying fuel remaining
Coinbase Premium — US institutional demand proxy
Hash Ribbon Proxy — Miner capitulation signal (with fallback)
Color Zones
Score Zone Interpretation
0–20 🟣 Dark Blue Maximum buy / capitulation bottom
20–35 🔵 Blue Strong accumulation
35–50 🟢 Green Mild accumulation
50–65 🟡 Yellow Neutral / caution
65–75 🟠 Light Orange Reduce size
75–85 🟧 Orange Sell zone
85–100 🔴 Red Danger / distribution top
Features
Fully adjustable weights per metric — tune to your analysis style
Individual metric toggles to inspect sub-components
Built-in alerts for crosses of 20, 50, and 85 thresholds
Extreme zone background highlighting
Graceful NA handling on on-chain feeds that may be unavailable on some plans
Best Used On
Symbol: BTCUSD (or any major BTC pair)
Timeframe: Daily (the 4-year percentile lookback is calibrated for this)
Limitations
This is not the original InvestAnswers TABI — that uses 19 proprietary metrics including true on-chain data (SOPR, hashrate, NVT) that Pine Script cannot access directly
On-chain feeds (MVRV, BTC.D, QUANDL hashrate) depend on your PulseWire plan; the script falls back to neutral (0.5) if data is missing
Coinbase and USDC data only goes back to ~2018; pre-2019 percentiles on those components are compressed
Not financial advice — a tool to support analysis, not replace it
Indicator
Monte Carlo Risk Geometry Simulator [Aslan]Thanks to @KioseffTrading for the polyline retracing system and the plotting system as a whole🙏
♦️ What This Script Does
This is a Monte Carlo simulator for visualising and calculating the probability of a return based on risk geometry of the model (Risk %, RR, WR). It assesses the probability of returns by generating hundreds or thousands of possible outcomes using your win rate, risk-reward, and position sizing. Each line you see is a different plausible “future,” showing how your account could realistically evolve.
🔶 How To Use It
Input your strategy stats, run a large number of simulations, and focus on three things: how wide the equity curves spread, how deep drawdowns get, and the percentage of profitable outcomes. Then adjust your model and repeat.
🔷 Application in Prop Firm evaluations
Using the threshold system, you can see what risk geometry is most likely to pass a prop firm evaluation. Suprisingly, the most probable geometry for passing an eval can sometimes have a negative expected value!
♦️ Bottom Line
This script helps you move from “how much can I make?” to “how likely am I to profit?”
🔎 Monte Carlo Simulations Explained
Monte Carlo simulations are a method of modeling uncertainty by running many random versions of the same system to see all possible outcomes. In trading, instead of assuming one fixed result, it repeatedly simulates sequences of wins and losses based on your strategy’s statistics (like win rate and risk-reward). This creates a distribution of potential equity curves, showing not just what did happen, but could happen. It’s essentially a way to test probability and survival under randomness rather than relying on a single backtest. Monte Carlo simulations are widely used on quant trading desks around the world to model uncertainty, test strategy robustness, and estimate the probability distribution of trading outcomes under real-world randomness. Indicator
Hybrid ForecastHybrid Forecast is a chart-overlay indicator built to organize short-term directional ideas into something more useful than a simple buy or sell marker. Instead of only printing a signal, it projects a target zone, shows the expected path, and marks an invalidation level so the setup is easier to read as a complete trade idea rather than a standalone arrow. The purpose of the script is not to predict every move. The purpose is to make short-horizon market structure easier to interpret by combining signal direction, projected destination, and visible failure points in one clean layout.
The reason this script exists is simple: many indicators either do too little or show too much. Some only mark entries and leave the rest to the trader. Others cover the chart in so many objects and statistics that the decision actually gets harder. Hybrid Forecast was built to sit in the middle. It tries to keep the chart readable while still giving enough context to understand where price may be headed, where the idea breaks down, and how the current settings are behaving over time. That is also the style used in many of the stronger PulseWire descriptions: explain the problem, explain the tool’s role, and explain the workflow in practical terms rather than hype.
At a high level, the script blends a live directional engine with a memory-based forecast layer. The live side evaluates current price behavior, slope, persistence, trend quality, volatility, and expansion. The memory side compares the current setup to prior stored conditions and contributes forecast information when the match quality is good enough. The result is a hybrid forecast process that is meant to be more adaptive than a fixed signal model while still staying compact and readable on the chart. In the current script, that hybrid structure is visible through the live-versus-memory blending controls, stored setup memory, neighbor search logic, and forecast projection workflow.
What you see on the chart is intentionally limited to the parts that help with decision-making. The script can show entry triggers, a projected forecast zone, a projection arrow, a stop-loss or invalidation line, optional target labels, and optional high-quality badges for the strongest setups. The idea is to present a forecast as a small package: direction, projected zone, and a clear line where the trade idea is likely wrong. That is why the forecast zone and the invalidation line matter just as much as the trigger marker itself.
The dashboard is intentionally small. It is not meant to be a developer console. It is there to answer a few practical questions quickly. “Samples” shows how many completed forecasts have already been graded. “Right Direction” shows how often price moved the expected way. “Reached Target” shows how often price got into the projected zone. “Strong Setups” shows how the highest-quality setups are performing. “Main Blocker” tells you the biggest reason the script is not printing more signals right now. “Profile Mode” simply reflects the current signal frequency profile. Those are the only stats most traders need during live use, and the rest is deliberately kept out of the public HUD.
The main public control is Signal Frequency. Conservative is more selective and tends to wait for cleaner structure. Balanced is the best starting point for most users and is the intended default. Active is more responsive and will generally produce more opportunities, but naturally it also asks the trader to tolerate more noise. The other important public controls are Forecast Horizon, which changes how far the projection extends, Forecast Zone Multiplier, which changes the size of the target area, and the visual toggles, which let you simplify the chart if you only want the most important objects displayed. The current defaults are built around a short forecast horizon, so the script is most naturally suited to intraday use rather than very slow swing-style forecasting.
The best way to use Hybrid Forecast is to treat it as a structured decision-support tool, not as a promise engine. Start with the Balanced profile. Keep the chart clean. Watch how the trigger, projection zone, and stop-loss line relate to each other. If the script is quiet, check the Main Blocker row before loosening settings. If the chart feels too busy, reduce the number of visible setups or disable labels and badges. Bar Replay is the best place to get familiar with how the forecast behaves because it lets you judge the sequence of signal, projected zone, and invalidation the way it would have appeared in real time.
In practical use, this script is best for traders who want a compact overlay for short-term direction, projected destination, and invalidation without stacking multiple separate tools on the chart. It is especially suitable for intraday traders who think in terms of continuation, reversal, target reach, and failed structure rather than just raw entry markers. Since the current default forecast horizon is short, lower intraday timeframes are the most natural fit, while slower charts may require some adjustment to horizon and signal density.
Like any indicator, Hybrid Forecast has limitations. Forecast zones can miss. Strong-looking setups can still fail. Lower timeframes naturally contain more noise. The dashboard percentages only become meaningful after enough samples build up. And because this is an indicator, not a full strategy or execution system, it should be used with your own trade management, risk controls, and judgment. Indicator
