Impulse Correction Balance Map [AGPro Series]Impulse Correction Balance Map
🧠 Core Idea
Is the current correction still healthy compared with the prior impulse, or is the impulse losing structural balance?
📌 Overview / What it does
Impulse Correction Balance Map is a rule-based impulse and correction visualization tool designed to compare the current pullback with the prior directional swing leg.
The script identifies a valid bullish or bearish impulse, measures correction depth, maps the healthy-to-balanced correction pocket, and highlights whether price is still respecting the impulse structure or moving into failure risk.
It does not predict price direction, automate trades, or guarantee continuation after a pullback. It is a structured market-structure and wave-analysis tool for reading impulse strength, correction depth, balance, continuation, and failure context.
🎯 Purpose & Design Philosophy
Many pullback tools mark a retracement or draw generic Fibonacci levels.
This script was built to answer a more practical question:
Is the correction proportionate to the impulse that created it?
The design goal is to help traders evaluate pullbacks as part of a complete impulse-correction relationship instead of treating every retracement as equal.
⚡ Why This Script Is Different
Most tools focus on static retracement levels, generic trend strength, or simple pullback labels.
This script does NOT mark every pullback as a clean opportunity.
Instead, it builds the impulse leg first, measures the correction against that leg, separates healthy correction, balanced pullback, deep correction, continuation, and failure risk, then displays the story through premium chart visuals and a compact AG Pro panel.
⚙️ Methodology
1. Swing Detection
The script uses confirmed swing pivots to identify meaningful bullish or bearish impulse legs.
2. Impulse Validation
An impulse must meet a minimum ATR-normalized size before it becomes the active reference leg.
3. Correction Mapping
After the impulse forms, the script tracks the deepest correction point and calculates retracement depth as a percentage of the impulse.
4. Balance Evaluation
Correction depth is classified into healthy, balanced, deep, continuation, or failure states.
5. Visual Output
The chart displays the impulse box, correction pocket, depth ladder, centered pocket label, right-side tags, event labels, alerts, and a compact AG Pro decision panel.
🗺️ How to Read the Chart
Impulse Box = the prior validated directional swing leg.
Correction Pocket = the projected healthy-to-balanced retracement area.
Depth Ladder = reference rails for shallow, balanced, and deep correction zones.
Centered Pocket Label = the main visual anchor for the active balance pocket and quality score.
Right-Side Tags = current correction depth, balance state, and continuation reference.
Event Labels = key moments such as healthy correction, deep correction, continuation, or correction failure.
Panel = summarizes balance state, impulse direction, correction depth, impulse size, quality score, next context, and timeframe.
🚦 Signals & States
• HEALTHY CORRECTION → correction depth remains shallow relative to the impulse.
• BALANCED PULLBACK → correction is deeper but still inside the normal balance area.
• DEEP CORRECTION → correction is pressing into a riskier retracement zone.
• HIGH FAILURE RISK → correction is beyond the preferred balance area.
• CONTINUATION → price extends beyond the impulse end in the impulse direction.
• CORRECTION FAIL → price invalidates the impulse start area.
• WAIT IMPULSE → no valid impulse reference is active yet.
🔔 Alerts Logic
Alerts trigger when a major impulse-correction state appears.
• Healthy Correction → correction remains inside the healthy retracement area.
• Deep Correction Risk → correction depth moves into the deep-correction risk area.
• Continuation Trigger → price breaks beyond the impulse end in the impulse direction.
• Correction Failure → correction invalidates the impulse start area.
Alerts are attention markers, not trade instructions.
🧩 Confluence Logic
The context becomes stronger when:
• The impulse leg is large enough relative to ATR
• Correction depth remains proportionate
• Price respects the balance pocket
• Continuation appears after a controlled correction
• The panel state agrees with the event label
• Broader trend structure supports the impulse direction
If these elements do not align, the script avoids forcing a continuation interpretation.
📊 When to Use
• Trend continuation analysis
• Pullback evaluation
• Swing structure review
• Crypto, forex, stocks, and index markets
• Wave-style impulse and correction studies
• 1H, 4H, and daily charts
• Markets with clear directional legs and retracement behavior
⚠️ When NOT to Use
• Very low-liquidity symbols
• Extremely choppy markets with no clear swing structure
• News-driven candles where pivots may be distorted
• Ultra-low timeframes with excessive noise
• Markets where every pullback is immediately invalidated by volatility
• Situations where a single retracement should not be treated as a standalone decision
🎛️ Key Inputs
• Swing Pivot Length → controls how swing highs and lows are confirmed.
• Minimum Impulse ATR → defines how large the impulse must be before it becomes active.
• ATR Length → normalizes impulse size, label spacing, and correction context.
• Healthy Correction Max % → defines the upper boundary of the shallow correction zone.
• Balance Correction Max % → defines the upper boundary of the balanced correction zone.
• Deep Correction Max % → defines the deep-correction risk boundary.
• Projection Bars → controls how far correction pockets, rails, and tags project.
• Label Font Size → controls chart label and tag text size.
• Panel Font Size → controls panel text size.
🖥️ Interface & Visual Design
The visual hierarchy is built around the impulse-correction relationship.
The impulse box shows the directional leg.
The correction pocket shows where a controlled retracement can remain balanced.
The depth ladder shows where the correction becomes shallow, balanced, deep, or risky.
The centered badge makes the pocket readable at first glance.
The AG Pro panel summarizes the current state without forcing the user to inspect every level manually.
🧪 Practical Usage Workflow
1. Wait for a valid impulse leg to appear.
2. Check the correction pocket and depth ladder.
3. Read the current balance state in the panel.
4. Watch whether the correction stays healthy, becomes deep, or fails.
5. Look for continuation only after the correction context remains controlled.
6. Interpret the result inside broader trend, liquidity, and volatility context.
🔍 Interpretation Guidelines
A healthy correction does not guarantee continuation. It means the retracement is still proportionate to the prior impulse.
A deep correction does not guarantee reversal. It means the pullback is approaching an area where the original impulse is less structurally clean.
A continuation trigger does not guarantee follow-through. It means price extended beyond the impulse end according to the script's rule set.
A correction failure is a structural warning, not a trading command.
🚫 What This Script Is NOT
This script is not a prediction engine.
It is not financial advice.
It is not an auto-trading system.
It does not provide guaranteed entry or exit signals.
It is not a standard Fibonacci retracement tool.
It is not a full Elliott Wave counter.
⚠️ Limitations & Transparency
Swing detection depends on pivot confirmation, so signals can appear after pivots are confirmed.
Timeframe differences can change impulse and correction structure.
High volatility may cause correction depth to expand quickly.
Low-liquidity markets may produce unreliable swing pivots.
The script is designed for structured interpretation, not certainty.
🧠 Market Context Notes
Impulse-correction behavior is strongest when the market has a clear directional leg, a readable retracement, and enough liquidity for swing structure to matter.
The same correction depth can mean different things in a strong trend, a range, or a volatility shock.
The script should be read together with broader structure, volume, volatility, and market regime.
🧾 Use Case Examples
• If a bullish impulse forms and the correction remains shallow, the map may show healthy correction context.
• If a bearish impulse forms and price retraces deeply against it, the map may show deep correction or failure risk.
• If price breaks beyond the impulse end after a controlled correction, the map may show continuation.
🧱 System Philosophy
Impulse Correction Balance Map is part of the AGPro Series approach to decision-support tools:
clear structure, premium chart readability, honest interpretation, and no promise of certainty.
The goal is to help traders understand the relationship between impulse strength and correction depth without turning analysis into signal spam.
🔐 Non-Promise Statement
No script can know the future.
No correction depth guarantees continuation or reversal.
No signal should be interpreted without broader market context.
📉 Risk Disclosure
Trading involves risk.
Markets can move unpredictably.
This script is for educational and analytical purposes only.
It does not provide financial advice or guaranteed trading outcomes.
Users remain responsible for their own decisions.
📚 Educational Note
Use this script to study how impulses and corrections relate to each other.
The value is not only in the label. The value is in learning whether a pullback is proportionate, stretched, balanced, or structurally weak compared with the impulse that came before it.
Penunjuk
Wolfe Wave Indicator**Wolfe Wave Indicator Description**
This indicator is a strict Wolfe Wave scanner and trade tracker built for cleaner pattern identification, trade-level plotting, and simple performance tracking.
It detects bullish and bearish Wolfe Wave structures from confirmed pivot highs and lows. A bullish setup requires a five-point sequence where point 3 is lower than point 1, point 5 is lower than point 3, point 4 remains inside the point 1 to point 2 price range, and point 5 forms near the projected point 1 to point 3 line. A bearish setup uses the inverse structure, requiring point 3 above point 1, point 5 above point 3, point 4 inside the point 1 to point 2 range, and point 5 near the projected point 1 to point 3 line.
The pattern begins as a pending Wolfe Wave once the five-point structure is detected. A trade confirms only after price closes back inside the point 1 to point 3 line. The script supports two entry styles: confirmation close or point 4 break. The stop loss is placed beyond point 5, with an optional tick buffer.
Targets are based on the Wolfe Wave EPA line. The EPA line is drawn from point 1 to point 4. TP1, TP2, and TP3 are calculated as user-defined portions or extensions of the distance from entry to the EPA line value at confirmation. By default, TP1 is halfway to the EPA line, TP2 is the EPA line target, and TP3 is an extension beyond the EPA line.
Trades remain open until either the stop loss is hit or TP3 is reached. TP1 and TP2 are tracked as partial target achievements, but they do not close the trade. Stats update only when a trade is fully closed. If the stop and TP3 are both touched on the same candle, the stop has priority.
By default, the indicator allows only one open Wolfe trade at a time. While one trade is open, no new Wolfe pattern will form or confirm. This is intentional and keeps the stats cleaner by avoiding overlapping trade signals. A user toggle is included to allow multiple open trades for those who want to use it more like a pattern scanner.
Visual behavior is simple. Pending patterns are yellow. Confirmed active trades are orange and display entry, stop loss, TP1, TP2, and TP3 levels. Closed historical patterns are purple. A display option allows the EPA line and point 1 to point 3 projection line to appear only on pending or active patterns, keeping historical patterns cleaner and reducing chart clutter.
This indicator is designed as a structured Wolfe Wave trade model, not a loose discretionary drawing tool. It uses strict validation rules, confirmed pivots, defined entry logic, defined stop logic, EPA-based targets, and closed-trade statistics.
Penunjuk
Pymander's EZ Momentum MatrixPymander's EZ Momentum Matrix—your new go-to tool for catching the pulse of the market!
I built this indicator because I know how frustrating it is to feel like you're "chasing" a move or getting caught in choppy fakeouts. This tool is designed to act like your trading GPS, helping you cut through the noise and align yourself with the high-probability trend instantly.
How it works:
Under the hood, we’ve combined two powerful components into one seamless visual experience:
The Momentum Wave: An ultra-sensitive oscillator that reacts to price shifts almost instantly. It changes color based on its slope—green when rising and red when falling—so you know exactly when momentum is shifting, even before a zero-cross.
The Trend Matrix: This is the heatmap bar at the bottom. It uses low-lag DEMA (Double EMA) logic and a 50-period trend filter to act as your "gatekeeper." It ensures you only take long signals when the macro trend is actually in your favor.
What makes it unique?
Confluence Diamonds: When the fast momentum wave and the filtered Trend Matrix align perfectly, a diamond signal appears on the wave. These are your "stars aligned" moments for high-probability entries.
Extreme Turn Signals: Small circles appear when the oscillator curls back in overbought or oversold zones, giving scalpers an early warning for potential micro-reversals.
The Glow: We polished the visuals with a slight aura glow effect and smooth gradients. Not only does it help you see signals more clearly, but your charts will look amazing while you're trading!
Why you’ll love it:
It’s all about clarity. By using the EZ Momentum Matrix, you stop guessing and start following. It simplifies complex trend and momentum data into a color-coded system that makes trade decisions faster and much more disciplined.
We’d love to hear how this is working for your specific strategy, so please reach out with any feedback or suggestions!
Wishing you tons of luck out there, stay disciplined, and here’s to many green days ahead!
-Pymander
Penunjuk
Quant Edge Ribbon PRO🟦 Quant Edge Ribbon PRO is a multi-kernel divergence ribbon indicator built on the KernelLens Nadaraya–Watson regression library (a_jabbaroff/KernelLens/1). A primary kernel and eleven longer-bandwidth kernels form a dual-ribbon visualization driven by kernel regression mathematics, an integer trend score in , a theme-aware rendering pipeline, four user-configurable reference levels, and a PRO dashboard. All twelve kernels route through the unified library dispatcher, so the user may select any of the eight kernel families and any of the three filter modes from a single configuration panel.
🟦 HOW IT WORKS
Quant Edge Ribbon PRO calls the KernelLens library's unified dispatcher (`kl.estimate`) twelve times per bar — once for the primary kernel and once for each of the eleven outer kernels:
```
primary = kl.estimate(type, src, ℓ, α, period, phase, filter)
long00 = kl.estimate(type, src, ℓ + 1·s, α, period, phase, filter)
long01 = kl.estimate(type, src, ℓ + 2·s, α, period, phase, filter)
...
long10 = kl.estimate(type, src, ℓ + 11·s, α, period, phase, filter)
```
where ℓ is the Primary Bandwidth and s is the Bandwidth Step. All twelve kernels share the same kernel type, filter, shape α, period, and phase — only the bandwidth differs. This guarantees the ribbon behaves as a coherent spectrum of kernel scales rather than a mixture of unrelated signals.
The library handles all weighted-sum computation, loop-depth selection, NA-safe iteration, division-by-zero guards, and input validation internally. Quant Edge Ribbon PRO does not reimplement any kernel math — every bug fix or optimization in the library automatically propagates to this indicator.
🟦 KERNEL LIBRARY INTEGRATION
Quant Edge Ribbon PRO imports the published KernelLens library and uses the following export:
| Library Export | Used For |
|---|---|
| `kl.estimate()` | Unified dispatcher — routes to the correct kernel based on the user's Kernel Type dropdown. Called twelve times per bar, once for the primary kernel and once for each of the eleven outer kernels. |
Every regression computation — kernel weight evaluation, NA-safe summation, bandwidth-aware loop termination — is delegated to the library. The indicator itself contains zero kernel math; it only orchestrates twelve library calls and aggregates their outputs into the trend score.
🟦 THE TWELVE-KERNEL RIBBON ARCHITECTURE
**Primary kernel (the shortest, the anchor)** — A single kernel at bandwidth ℓ that serves two roles: (1) it is the reference baseline for the trend score calculation, and (2) it is plotted as a dedicated highlighted anchor line when the "Highlight Primary Kernel" toggle is ON.
**Eleven outer kernels (progressively wider)** — Kernels at bandwidths ℓ+1·s, ℓ+2·s, …, ℓ+11·s, where s is the Bandwidth Step (default: 1). Each outer kernel is plotted as a line on the main chart, all eleven sharing a single score-driven gradient color — so the entire outer ribbon shifts between the theme's bull and bear hues as the trend score moves between −11 and +11.
**Eleven inner ribbon plots (lagged primary snapshots)** — The primary kernel plotted at eleven time-lag offsets (0, 1, 2, …, 10 bars). The resulting visual is a gently flowing shadow that makes expansion and contraction of the outer ribbon easier to perceive. Opacity is user-controlled (default: 40 %).
🟦 INTEGER TREND SCORE
The trend score is a signed integer in , computed on every bar by eleven pairwise comparisons between the primary kernel (at progressive lag offsets) and the eleven outer kernels:
```
score = 0
for i in 0..10:
if primary < long_i:
score += 1
else:
score -= 1
```
**Semantic interpretation** — Each comparison pairs an older snapshot of the shortest kernel against a current snapshot of a progressively wider kernel. In an uptrend, past primary values are lower while current wider-kernel values have caught up above them — the inequality resolves positive on most pairs and the score climbs toward +11. The symmetric argument drives the score toward −11 in a downtrend.
**Score parity** — Because the score is a sum of eleven ±1 terms (score = 2k − 11, k ∈ ), it is always odd. Reachable values: { −11, −9, −7, −5, −3, −1, 1, 3, 5, 7, 9, 11 }. The score is never exactly zero.
🟦 STRENGTH CATEGORIZATION
The absolute score is bucketed into four bands, each with a matched label glyph used throughout the dashboard and the last-bar signal label:
| Score Range | Strength | Label |
|---|---|---|
| \|score\| = 1 | NEUTRAL | ▰▱▱▱ NEUTRAL |
| \|score\| ∈ {3, 5} | WEAK | ▰▰▱▱ WEAK BULL / WEAK BEAR |
| \|score\| = 7 | STRONG | ▰▰▰▱ STRONG BULL / STRONG BEAR |
| \|score\| ∈ {9, 11} | TRIPLE | ▰▰▰▰ TRIPLE BULL / TRIPLE BEAR |
The bull / bear suffix is driven by the sign of the score. The progress-bar glyphs (▰▱) give an instant at-a-glance read of confluence intensity without needing to parse the numeric value.
🟦 NON-REPAINTING BEHAVIOR
Quant Edge Ribbon PRO inherits non-repainting behavior directly from the KernelLens library's `_phase` parameter. A single Phase input (default: 2) shifts every one of the twelve kernel centers into the past by that many bars.
- Phase = 0 — live estimate, flickers on the current bar (real-time only; history is immutable)
- Phase = 1 — 1-bar lag, non-repainting once the bar is confirmed
- Phase = 2 — recommended balance between freshness and stability (default)
- Phase = 3+ — extra margin against erratic ticks, higher lag
Historical repainting never occurs at any phase value. The library contains no `request.security` calls, no lookahead, and no array rotation that could leak future data. Every historical bar's plotted value is final once confirmed.
🟦 VISUAL PIPELINE
**Outer Ribbon Gradient** — All eleven outer kernels are plotted with a single shared color driven by the trend score via `color.from_gradient(score, -11, 11, thBear, thBull)`. As the score walks across its range, the entire ribbon shifts continuously between the active theme's bearish and bullish hues — producing a smooth visual feedback loop between the math and the palette.
**Inner Ribbon Shadow Trail** — Eleven lag-shifted primary snapshots (primary through primary ) drawn in the theme's accent hue with user-controlled opacity. On a trending chart the trail visually expands; on a reversing chart it contracts. Adjust opacity from 0 (invisible) to 100 (fully opaque) — default 40 balances presence and subtlety.
**Primary Kernel Anchor Line** — The primary kernel plotted as a dedicated bold line in the theme's accent color at 80 % opacity, distinct from the shadow trail. Provides a clear centerline amid the ribbon flow. Toggleable.
**Oscillator Subplot** — The smoothed trend score plotted in a dedicated subplot with a score-gradient vertical fill between the score line and the zero line. Opacity is user-controlled. An optional bold score line (up to 4 px wide) overlays the fill for sharp numeric reading.
**Last-Bar Trend Label** — A right-anchored label at the current bar in the oscillator pane. Format: `▲ TRIPLE BULL 11 / 11` (bull) or `▼ WEAK BEAR −3 / 11` (bear). The label is deleted and redrawn on every bar, so only one instance is ever present on the chart.
🟦 OSCILLATOR STYLES
The oscillator subplot ships with two visual presets, selectable from the Oscillator Style dropdown:
| Style | Plot Style | Fill | Best For |
|---|---|---|---|
| Classic Gradient | `plot.style_line` (smooth curve) | Continuous vertical gradient from score to zero | Trend flow, slope momentum |
| Stepline | `plot.style_stepline` (staircase) | Stepped gradient mirroring the discrete score plateaus | Signal / threshold trading, discrete level crossings |
**Classic Gradient** produces a smooth curve traced through the smoothed score values, with the gradient fill flowing continuously between the score line and the zero line. This is the default and suits traders who read trend direction through slope and curvature.
**Stepline** renders each bar as a horizontal plateau joined to the next bar by a vertical edge. Because the raw score is always an odd integer in { −11, −9, …, 9, 11 }, the staircase visualization honors the score's true discrete nature — making it easier to identify exact threshold crossings (e.g. the moment the score enters the ±9 extreme zone). The fill inherits the same stepline style, so the entire oscillator pane stays geometrically consistent.
Both styles share the same opacity controls, score line toggle, and line width setting — only the geometry of the score line and its fill changes between them.
🟦 THEME SYSTEM
Ten cohesive color palettes tuned to the Quant Edge Ribbon PRO optical brand. One selection drives every visual component — outer ribbon gradient, inner ribbon accent, oscillator fill, reference lines, signal label, dashboard accents — all sharing the same bull / bear / accent color axes:
| Theme | Bull | Bear |
|---|---|---|
| Prism | Forest green | Crimson red |
| Focus | Cyan steel | Deep orange |
| Solar | Warm amber | Indigo red |
| Frost | Sky blue | Soft lavender |
| Laser | Neon lime | Hot crimson |
| Aurora | Bright gold | Scarlet |
| Plasma | Electric aqua | Magenta |
| Bloom | Mint green | Hot pink |
| Eclipse | Deep navy | Dark crimson |
| Carbon | Near-black | Silver grey |
The oscillator's zero line uses Pine's `chart.fg_color` so it auto-adapts to the actual chart background (white on dark charts, black on light charts) — independent of the Dashboard's Display Mode setting.
🟦 REFERENCE LEVELS
Four user-configurable horizontal reference lines mark the score's structural thresholds inside the oscillator subplot:
| Level | Style | Meaning |
|---|---|---|
| +11 / −11 | Dotted | Ceiling / floor — the mathematical maximum (every comparison aligned) |
| +9 / −9 | Dashed | Extreme zone — nine or more of the eleven comparisons agree on direction |
Each pair (±11 and ±9) has an independent opacity input (0–100 %). A master toggle (Show Reference Levels) collapses all four lines to fully transparent in a single branch — useful for minimalist layouts. An additional `showOsc` gate hides them automatically when the oscillator itself is disabled.
🟦 PRO DASHBOARD
A 2-column, 12-row theme-aware status panel that updates only on the last bar (zero historical overhead). Supports Dark and Light display modes, six docking positions, and four text sizes. Renders via `force_overlay = true` on the main price chart.
| Row | Label | Content |
|---|---|---|
| Header | Q-EDGE PRO | DARK / LIGHT |
| Theme | Theme | Active palette name |
| Kernel | Kernel | Selected kernel type |
| Divider | RIBBON | — |
| Primary ℓ | Primary ℓ | Primary bandwidth value |
| Span | Span | ℓ → ℓ + 11·s |
| Filter | Filter | No Filter / Smooth / Zero Lag |
| Divider | SCORE | — |
| Score | Score | ▲/▼ + integer score + " / 11" (bull/bear colored) |
| Bull / Bear | Bull / Bear | Bull comparison count / bear comparison count |
| Strength | Strength | ▰-bar + NEUTRAL / WEAK / STRONG / TRIPLE label |
| Primary | Primary | Primary kernel value in chart mintick format |
**Bull / Bear breakdown** — The eleven pairwise comparisons split into bulls (resolved +1) and bears (resolved −1). Always sums to 11, so this row gives a direct visual of how many kernel scales agree with the net direction.
🟦 ALERT CONDITIONS
Six opt-in alert conditions, each gated by its own toggle:
| Alert | Fires When |
|---|---|
| Bullish Flip | Score crosses from ≤ 0 into positive territory |
| Bearish Flip | Score crosses from ≥ 0 into negative territory |
| Extreme Bullish | Score reaches +9 or higher (first entry into the zone) |
| Extreme Bearish | Score reaches −9 or lower (first entry into the zone) |
| Full Confluence Up | Score hits +11 — every outer kernel aligned bullishly |
| Full Confluence Down | Score hits −11 — every outer kernel aligned bearishly |
All alerts use `alertcondition()` for maximum compatibility with TradingView's alert system including webhooks. Messages are structured as `"Quant Edge Ribbon PRO: "` for easy parsing in downstream automation.
🟦 RECOMMENDED PRESETS
| Style | Primary ℓ | Bandwidth Step s | Phase | Filter | Chart |
|---|---|---|---|---|---|
| Scalper | 8–16 | 1 | 1 | No Filter | 1m–5m |
| Day Trader | 16–32 | 1–2 | 2 | Smooth | 15m–1h |
| Swing | 25–50 | 1–2 | 2 | Smooth | 4h–1D |
| Position | 50–120 | 2–3 | 3 | Smooth | 1D–1W |
**Bandwidth Step tuning** — Step = 1 produces a tight ribbon where adjacent outer kernels sit visually close together. Steps of 2–4 spread the eleven outer kernels across a broader spectrum of scales, making expansion / contraction easier to read at a glance. Step 5–6 is reserved for very wide ribbons where each line represents a distinctly different time scale.
🟦 COMPATIBILITY
- Pine Script v6
- All exchanges, all asset classes (crypto, forex, equities, commodities, indices)
- All timeframes (1 minute through Monthly)
- Both Dark and Light chart themes — visual elements auto-adapt via `chart.fg_color`
- No exchange-specific logic — fully deterministic
🟦 TECHNICAL NOTES
- **Library dependency** — `import a_jabbaroff/KernelLens/1` — all kernel regression math is delegated to the published library
- **Plot budget** — 11 outer + 11 inner + 1 primary + 2 oscillator plots + 1 fill + 4 hlines = well under Pine's 64-plot limit
- **Table** — Single `var table` created once on `barstate.islast` with `force_overlay = true`; dashboard renders on the main chart pane, zero historical overhead
- **No persistent drawing objects** — no `box.new`, `line.new`, no `array.new`; the single trend label is deleted and recreated every bar so only one instance is ever present
- **Opacity convention** — every user-facing opacity input follows `0 = invisible, 100 = fully opaque`; conversion to Pine's native transparency is centralized in a single helper function (`f_opac`)
- **Non-repainting** — inherits from the library's `_phase` parameter; no `request.security`, no lookahead, no future-bar leakage at any phase value
- **Chart background adaptive** — the oscillator's zero line uses `chart.fg_color`, so it always renders with high contrast regardless of the user's chart color scheme
🟦 DISCLAIMER
Quant Edge Ribbon PRO is a technical analysis indicator built on the KernelLens Nadaraya–Watson regression library. It is provided solely for educational and research purposes and does not constitute financial, investment, or trading advice.
Kernel regression is a local smoothing technique. It estimates the mean of a source series in the neighborhood of the current bar based on historical data, but it does not predict future prices, does not generate trading signals on its own, and does not guarantee the profitability of any strategy built on top of its output. The integer trend score is a geometric summary of kernel alignments — not a forecast — and should always be combined with broader context: higher-timeframe structure, volatility regime, liquidity, news, and risk management.
Past performance of any model does not guarantee future results. Markets contain systemic risks that cannot be eliminated by any amount of mathematical rigor. Responsibility for any trading decisions rests entirely with the user. Always apply sound capital management, conduct your own independent analysis, and never risk capital you are not prepared to lose.
The author assumes no liability for direct or indirect losses incurred through the use of Quant Edge Ribbon PRO or the underlying KernelLens library. Penunjuk
Vdubus Divergence Wave Pattern Generator V1The Vdubus Divergence Wave Theory
10 years in the making & now finally thanks to AI I have attempted to put my Trading strategy & logic into a visual representation of how I analyse and project market using Core price action & MacD. Enjoy :)
A Proprietary Structural & Momentum Confluence SystemPart 1: The Strategic Concept1. The Core Philosophy: "Geometry + Physics"Traditional technical analysis often fails because traders confuse location with timing.Geometry (Price Patterns): Tells us WHERE the market is likely to reverse (e.g., at a resistance level or harmonic D-point).Physics (Momentum): Tells us WHEN the energy driving the trend has actually shifted. The Vdubus Theory posits that a trade should never be taken based on Geometry alone. A valid signal requires a specific, fractal decay in momentum—a "Handshake" between price structure and energy exhaustion.2. The 3-Wave Momentum Filter (The Engine)Most traders look for simple divergence (2 points). The Vdubus Theory demands a 3-Wave Structure to confirm the true state of the market.A. The Standard Reversal (Exhaustion)This is the "Safe" entry, catching the slow death of a trend.Wave 1 $\rightarrow$ 2 (The Warning): Price pushes higher, but momentum is lower (Standard Divergence). This signals that the trend is tapping the brakes.Wave 2 $\rightarrow$ 3 (The Confirmation): Price pushes to a final extreme (often a stop-hunt), but momentum is flat or lower than Wave 2 ("No Divergence").The Logic: This confirms that the buyers have expended all remaining energy. The engine is dead.
B. The Climax Reversal (The Trap)This is the "Aggressive" entry, catching V-shape reversals.Wave 1 $\rightarrow$ 2 (The Bait): Price pushes higher, and momentum is Stronger/Higher (No Divergence). This sucks in retail traders who believe the trend is accelerating.Wave 2 $\rightarrow$ 3 (The Snap): Price pushes again, but momentum suddenly collapses (Divergence).The Logic: A "Strong to Weak" shift. The market traps traders with a show of strength before hitting a "concrete wall" of limit orders.C. The Predator (The Trend Continuation)The Logic: Trends rarely move in straight lines. The "Predator" looks for Hidden Divergence during a pullback.The Signal: Price makes a Higher Low (Trend Structure Intact), but Momentum makes a Lower Low (Oversold Trap). This signals the end of the correction and the resumption of the main trend.3. The "Clean Path" PrincipleA trade is only valid if there is no opposing force. If you are looking to Sell (Bearish Reversal), the opposing Bullish momentum must be weak or neutral. If the "Enemy" is strong, the trade is skipped.
Part 2: The Indicator Breakdown
Tool Name: Vdubus Divergence Wave Pattern Generator V1
This script automates your analysis by combining ZigZag Pattern Recognition (Geometry) with your Custom MACD Logic (Physics).
1. The "Golden" Settings
The physics engine is tuned to your specific discovery:
Fast Length: 8
Slow Length: 21
Signal Length: 5
Lookback: 3 (Sensitive enough to catch the exact pivot points).
2. Signal Generation Logic
The indicator scans for four distinct setups. Here is the exact logic code translated into English:
Signal 1: Standard Reversal (Green/Red Pattern)
Geometry: The ZigZag algorithm identifies a 5-point structure (X-A-B-C-D), such as a Gartley, Bat, or Butterfly.
Physics Check:
Finds the last 3 momentum peaks matching the price highs.
Rule: Momentum Peak 2 must be < Peak 1 (Divergence).
Rule: Momentum Peak 3 must be <= Peak 2 (Confirmation/No Div).
Output: Draws the colored pattern and labels it (e.g., "Bearish Gartley (Exhaustion)").
Signal 2: Climax Reversal (Orange Pattern)
Geometry: Identifies the same 5-point structures.
Physics Check:
Rule: Momentum Peak 2 is >= Peak 1 (Strength/No Div).
Rule: Momentum Peak 3 is < Peak 2 (Sudden Failure/Div).
Output: Draws the pattern in Orange labeled "⚠️ CLIMAX REVERSAL". This is your "Trap" detector.
Signal 3: Rounded Top/Bottom (Navy/Maroon Label)
Geometry: Price is compressing or rounding over.
Physics Check:
Scans for 4 consecutive waves of momentum decay.
Rule: Peak 1 > Peak 2 > Peak 3 > Peak 4.
Output: Places a label indicating a "Multi-Wave Decay," identifying turns that don't have sharp pivots.
Signal 4: The Predator (Purple Pattern)
Geometry: Identifies a trend pullback (Higher Low for Buys).
Physics Check:
Rule: Momentum makes a Lower Low while Price makes a Higher Low (Hidden Divergence).
Output: Draws a Purple pattern labeled "🦖 PREDATOR" to signal trend continuation.
3. The Confluence Dashboard
Located in the corner of the screen, this provides a final "Safety Check."
Logic: It compares the absolute value (strength) of the most recent Bearish Momentum Peak vs. the most recent Bullish Momentum Low.
Output:
Green (Bulls Strong): Buying pressure is dominant. Safe to Buy, Dangerous to Sell.
Red (Bears Strong): Selling pressure is dominant. Safe to Sell, Dangerous to Buy.
Grey (Neutral): Forces are balanced.
Summary of Potential
This system solves the "Trader's Dilemma" of entering too early or too late. By waiting for the 3rd Wave, you effectively filter out the market noise and only commit capital when the opposing side has structurally and physically collapsed. It transforms trading from a guessing game into a disciplined execution of identifying Geometric Exhaustion.
Logic 1 / PREVIOUS DIVERGENCE PROJECTS future TREND BREAKS / Reversals *Not in script*
Logic 2 / Wave 1 to 2 = Divergence / Wave 2 to 3 = NO divergence = Signal
Reverse logic: Wave 1 to 2 = NO Divergence / Wave 2 to 3 = Divergence = Signal Penunjuk
Penunjuk
Wolfe Waves [BigBeluga]🔵 OVERVIEW
The Wolfe Waves pattern was first introduced by Bill Wolfe , a trader and analyst in the 1980s–1990s who specialized in market geometry and natural rhythm cycles. Wolfe observed that price often forms symmetrical wave structures that anticipate equilibrium points where supply and demand meet. These formations, called Wolfe Waves , gained popularity as a reliable pattern for forecasting both short- and long-term reversals.
The Wolfe Waves indicator automatically detects these patterns in real time. It tracks sequences of five pivots (points 1 through 5) and connects them with wave lines. Users can select either Bullish or Bearish Wolfe Waves depending on their trading bias. When the pattern fails, the lines automatically turn red to highlight invalidation.
🔵 CONCEPTS
Five-Point Structure – Wolfe Waves are defined by five pivots (1–5), which together form the basis of the wave pattern.
Bullish Pattern – Occurs when price compresses downward into point 5, signaling a potential upside reversal.
Bearish Pattern – Occurs when price extends upward into point 5, forecasting a downside reversal.
Validation & Failure – The pattern is considered valid once all five pivots form; if price fails to respect the expected breakout, the indicator marks the structure as broken with red lines.
🔵 FEATURES
Automatic detection of Bullish and Bearish Wolfe Waves.
Labels each pivot (1–5) on the chart for clarity.
Draws connecting lines between pivots to visualize the wave structure.
Projects target/dashed lines (EPA/ETA) based on Wolfe Wave geometry.
Lines automatically turn red when the pattern is broken, giving immediate feedback.
Customizable color scheme for bullish (lime) and bearish (orange) waves.
Adjustable sensitivity for pivot detection.
🔵 HOW TO USE
Choose between Bullish or Bearish mode depending on your analysis.
Watch for the formation of all five pivots; the indicator labels them clearly.
Look for potential entries near point 5, with the expectation that price will travel toward the projected EPA line.
Use invalidation (lines turning red) as a risk management warning to exit failed setups.
Combine with momentum, volume, or higher-timeframe analysis to increase reliability.
🔵 CONCLUSION
The Wolfe Waves brings the classic Wolfe Wave theory into an automated TradingView tool. Inspired by Bill Wolfe’s original concept of natural market cycles, this indicator detects, labels, and validates Wolfe Waves in real time. With automatic invalidation marking and customizable settings, it offers traders a structured way to harness one of the most well-known geometric reversal patterns. Penunjuk
Penunjuk
N-Pattern Detector (Advanced Logic)Introduction
The N-Pattern Detector (Advanced Logic) is a powerful Pine Script-based tool designed to identify a specific price structure known as the "N-pattern", which often indicates trend continuation or potential breakout points in the market. This pattern combines zigzag pivot logic, retracement filters, volume confirmation, and trend alignment, offering high-probability trading signals.
It is ideal for traders who want to automate pattern detection while applying smart filters to reduce false signals in various markets — including stocks, forex, crypto, and indices.
What is the N-Pattern?
The N-pattern is a 3-leg price formation consisting of points A-B-C-D. It typically follows this structure:
Bullish N-Pattern:
A → Low Pivot
B → Higher High (Impulse)
C → Higher Low (Retracement)
D → Breakout above B (Confirmation)
Bearish N-Pattern:
A → High Pivot
B → Lower Low (Impulse)
C → Lower High (Retracement)
D → Breakdown below B (Confirmation)
The pattern essentially reflects a trend–pullback–breakout structure, making it suitable for continuation trades.
Key Features
1. Intelligent ZigZag Pivot Detection
Uses pivot highs/lows to define key swing points (A, B, C).
Adjustable ZigZag depth to control pattern sensitivity.
Filters noise and avoids false signals in volatile markets.
2. Retracement Validation
Validates the B→C leg as a proper pullback using Fibonacci-based thresholds.
User-defined min and max retracement settings (e.g., 38.2% to 78.6% of A→B leg).
3. Trend Filter via EMA
Filters patterns based on trend direction using a customizable EMA (e.g., 200 EMA).
Only detects bullish patterns above EMA and bearish patterns below EMA (optional).
4. Volume Confirmation
Ensures that impulse legs (A→B, C→D) are supported by stronger volume than the correction leg (B→C).
Adds another layer of confirmation and reliability to detected patterns.
5. Target Projections
Automatically draws 100% A→B projected target from point C.
Optional Fibonacci extensions at 1.272 and 1.618 levels for take-profit planning.
Visually plotted on the chart with colored dashed/dotted lines.
6. Clear Visuals & Labels
Connects all pattern points with colored lines.
Clearly labels points A, B, C, D on the chart.
Uses customizable colors for bullish and bearish patterns.
Includes real-time alerts when a valid pattern is detected.
How to Use It
Add to Chart
Apply the indicator to any chart and time frame. It works across all asset classes.
Adjust Inputs (Optional)
Set ZigZag Depth to control pivot detection sensitivity.
Define Min/Max Retracement levels to match your trading style.
Enable or disable Trend and Volume filters for cleaner signals.
Customize EMA length (default: 200) for trend validation.
Wait for Pattern Confirmation
The indicator constantly scans for valid N-patterns.
A pattern is confirmed only after point D forms (breakout or breakdown).
You’ll see the full pattern drawn with target levels.
Set Alerts
Alerts trigger automatically on confirmation of a bullish or bearish pattern.
You can customize these in TradingView’s alerts panel. Penunjuk
Bitcoin Power Law OscillatorThis is the oscillator version of the script. The main body of the script can be found here.
Understanding the Bitcoin Power Law Model
Also called the Long-Term Bitcoin Power Law Model. The Bitcoin Power Law model tries to capture and predict Bitcoin's price growth over time. It assumes that Bitcoin's price follows an exponential growth pattern, where the price increases over time according to a mathematical relationship.
By fitting a power law to historical data, the model creates a trend line that represents this growth. It then generates additional parallel lines (support and resistance lines) to show potential price boundaries, helping to visualize where Bitcoin’s price could move within certain ranges.
In simple terms, the model helps us understand Bitcoin's general growth trajectory and provides a framework to visualize how its price could behave over the long term.
The Bitcoin Power Law has the following function:
Power Law = 10^(a + b * log10(d))
Consisting of the following parameters:
a: Power Law Intercept (default: -17.668).
b: Power Law Slope (default: 5.926).
d: Number of days since a reference point(calculated by counting bars from the reference point with an offset).
Explanation of the a and b parameters:
Roughly explained, the optimal values for the a and b parameters are determined through a process of linear regression on a log-log scale (after applying a logarithmic transformation to both the x and y axes). On this log-log scale, the power law relationship becomes linear, making it possible to apply linear regression. The best fit for the regression is then evaluated using metrics like the R-squared value, residual error analysis, and visual inspection. This process can be quite complex and is beyond the scope of this post.
Applying vertical shifts to generate the other lines:
Once the initial power-law is created, additional lines are generated by applying a vertical shift. This shift is achieved by adding a specific number of days (or years in case of this script) to the d-parameter. This creates new lines perfectly parallel to the initial power law with an added vertical shift, maintaining the same slope and intercept.
In the case of this script, shifts are made by adding +365 days, +2 * 365 days, +3 * 365 days, +4 * 365 days, and +5 * 365 days, effectively introducing one to five years of shifts. This results in a total of six Power Law lines, as outlined below (From lowest to highest):
Base Power Law Line (no shift)
1-year shifted line
2-year shifted line
3-year shifted line
4-year shifted line
5-year shifted line
The six power law lines:
Bitcoin Power Law Oscillator
This publication also includes the oscillator version of the Bitcoin Power Law. This version applies a logarithmic transformation to the price, Base Power Law Line, and 5-year shifted line using the formula: log10(x) .
The log-transformed price is then normalized using min-max normalization relative to the log-transformed Base Power Law Line and 5-year shifted line with the formula:
normalized price = log(close) - log(Base Power Law Line) / log(5-year shifted line) - log(Base Power Law Line)
Finally, the normalized price was multiplied by 5 to map its value between 0 and 5, aligning with the shifted lines.
Interpretation of the Bitcoin Power Law Model:
The shifted Power Law lines provide a framework for predicting Bitcoin's future price movements based on historical trends. These lines are created by applying a vertical shift to the initial Power Law line, with each shifted line representing a future time frame (e.g., 1 year, 2 years, 3 years, etc.).
By analyzing these shifted lines, users can make predictions about minimum price levels at specific future dates. For example, the 5-year shifted line will act as the main support level for Bitcoin’s price in 5 years, meaning that Bitcoin’s price should not fall below this line, ensuring that Bitcoin will be valued at least at this level by that time. Similarly, the 2-year shifted line will serve as the support line for Bitcoin's price in 2 years, establishing that the price should not drop below this line within that time frame.
On the other hand, the 5-year shifted line also functions as an absolute resistance , meaning Bitcoin's price will not exceed this line prior to the 5-year mark. This provides a prediction that Bitcoin cannot reach certain price levels before a specific date. For example, the price of Bitcoin is unlikely to reach $100,000 before 2021, and it will not exceed this price before the 5-year shifted line becomes relevant. After 2028, however, the price is predicted to never fall below $100,000, thanks to the support established by the shifted lines.
In essence, the shifted Power Law lines offer a way to predict both the minimum price levels that Bitcoin will hit by certain dates and the earliest dates by which certain price points will be reached. These lines help frame Bitcoin's potential future price range, offering insight into long-term price behavior and providing a guide for investors and analysts. Lets examine some examples:
Example 1:
In Example 1 it can be seen that point A on the 5-year shifted line acts as major resistance . Also it can be seen that 5 years later this price level now corresponds to the Base Power Law Line and acts as a major support at point B(Note: Vertical yearly grid lines have been added for this purpose👍).
Example 2:
In Example 2, the price level at point C on the 3-year shifted line becomes a major support three years later at point D, now aligning with the Base Power Law Line.
Finally, let's explore some future price predictions, as this script provides projections on the weekly timeframe :
Example 3:
In Example 3, the Bitcoin Power Law indicates that Bitcoin's price cannot surpass approximately $808K before 2030 as can be seen at point E, while also ensuring it will be at least $224K by then (point F). Penunjuk
Bitcoin Polynomial Regression ModelThis is the main version of the script. Click here for the Oscillator part of the script.
💡Why this model was created:
One of the key issues with most existing models, including our own Bitcoin Log Growth Curve Model , is that they often fail to realistically account for diminishing returns. As a result, they may present overly optimistic bull cycle targets (hence, we introduced alternative settings in our previous Bitcoin Log Growth Curve Model).
This new model however, has been built from the ground up with a primary focus on incorporating the principle of diminishing returns. It directly responds to this concept, which has been briefly explored here .
📉The theory of diminishing returns:
This theory suggests that as each four-year market cycle unfolds, volatility gradually decreases, leading to more tempered price movements. It also implies that the price increase from one cycle peak to the next will decrease over time as the asset matures. The same pattern applies to cycle lows and the relationship between tops and bottoms. In essence, these price movements are interconnected and should generally follow a consistent pattern. We believe this model provides a more realistic outlook on bull and bear market cycles.
To better understand this theory, the relationships between cycle tops and bottoms are outlined below:https://www.tradingview.com/x/7Hldzsf2/
🔧Creation of the model:
For those interested in how this model was created, the process is explained here. Otherwise, feel free to skip this section.
This model is based on two separate cubic polynomial regression lines. One for the top price trend and another for the bottom. Both follow the general cubic polynomial function:
ax^3 +bx^2 + cx + d.
In this equation, x represents the weekly bar index minus an offset, while a, b, c, and d are determined through polynomial regression analysis. The input (x, y) values used for the polynomial regression analysis are as follows:
Top regression line (x, y) values:
113, 18.6
240, 1004
451, 19128
655, 65502
Bottom regression line (x, y) values:
103, 2.5
267, 211
471, 3193
676, 16255
The values above correspond to historical Bitcoin cycle tops and bottoms, where x is the weekly bar index and y is the weekly closing price of Bitcoin. The best fit is determined using metrics such as R-squared values, residual error analysis, and visual inspection. While the exact details of this evaluation are beyond the scope of this post, the following optimal parameters were found:
Top regression line parameter values:
a: 0.000202798
b: 0.0872922
c: -30.88805
d: 1827.14113
Bottom regression line parameter values:
a: 0.000138314
b: -0.0768236
c: 13.90555
d: -765.8892
📊Polynomial Regression Oscillator:
This publication also includes the oscillator version of the this model which is displayed at the bottom of the screen. The oscillator applies a logarithmic transformation to the price and the regression lines using the formula log10(x) .
The log-transformed price is then normalized using min-max normalization relative to the log-transformed top and bottom regression line with the formula:
normalized price = log(close) - log(bottom regression line) / log(top regression line) - log(bottom regression line)
This transformation results in a price value between 0 and 1 between both the regression lines. The Oscillator version can be found here.
🔍Interpretation of the Model:
In general, the red area represents a caution zone, as historically, the price has often been near its cycle market top within this range. On the other hand, the green area is considered an area of opportunity, as historically, it has corresponded to the market bottom.
The top regression line serves as a signal for the absolute market cycle peak, while the bottom regression line indicates the absolute market cycle bottom.
Additionally, this model provides a predicted range for Bitcoin's future price movements, which can be used to make extrapolated predictions. We will explore this further below.
🔮Future Predictions:
Finally, let's discuss what this model actually predicts for the potential upcoming market cycle top and the corresponding market cycle bottom. In our previous post here , a cycle interval analysis was performed to predict a likely time window for the next cycle top and bottom:
In the image, it is predicted that the next top-to-top cycle interval will be 208 weeks, which translates to November 3rd, 2025. It is also predicted that the bottom-to-top cycle interval will be 152 weeks, which corresponds to October 13th, 2025. On the macro level, these two dates align quite well. For our prediction, we take the average of these two dates: October 24th 2025. This will be our target date for the bull cycle top.
Now, let's do the same for the upcoming cycle bottom. The bottom-to-bottom cycle interval is predicted to be 205 weeks, which translates to October 19th, 2026, and the top-to-bottom cycle interval is predicted to be 259 weeks, which corresponds to October 26th, 2026. We then take the average of these two dates, predicting a bear cycle bottom date target of October 19th, 2026.
Now that we have our predicted top and bottom cycle date targets, we can simply reference these two dates to our model, giving us the Bitcoin top price prediction in the range of 152,000 in Q4 2025 and a subsequent bottom price prediction in the range of 46,500 in Q4 2026.
For those interested in understanding what this specifically means for the predicted diminishing return top and bottom cycle values, the image below displays these predicted values. The new values are highlighted in yellow:
And of course, keep in mind that these targets are just rough estimates. While we've done our best to estimate these targets through a data-driven approach, markets will always remain unpredictable in nature. What are your targets? Feel free to share them in the comment section below. Penunjuk
Bitcoin Polynomial Regression OscillatorThis is the oscillator version of the script. Click here for the other part of the script.
💡Why this model was created:
One of the key issues with most existing models, including our own Bitcoin Log Growth Curve Model , is that they often fail to realistically account for diminishing returns. As a result, they may present overly optimistic bull cycle targets (hence, we introduced alternative settings in our previous Bitcoin Log Growth Curve Model).
This new model however, has been built from the ground up with a primary focus on incorporating the principle of diminishing returns. It directly responds to this concept, which has been briefly explored here .
📉The theory of diminishing returns:
This theory suggests that as each four-year market cycle unfolds, volatility gradually decreases, leading to more tempered price movements. It also implies that the price increase from one cycle peak to the next will decrease over time as the asset matures. The same pattern applies to cycle lows and the relationship between tops and bottoms. In essence, these price movements are interconnected and should generally follow a consistent pattern. We believe this model provides a more realistic outlook on bull and bear market cycles.
To better understand this theory, the relationships between cycle tops and bottoms are outlined below:https://www.tradingview.com/x/7Hldzsf2/
🔧Creation of the model:
For those interested in how this model was created, the process is explained here. Otherwise, feel free to skip this section.
This model is based on two separate cubic polynomial regression lines. One for the top price trend and another for the bottom. Both follow the general cubic polynomial function:
ax^3 +bx^2 + cx + d.
In this equation, x represents the weekly bar index minus an offset, while a, b, c, and d are determined through polynomial regression analysis. The input (x, y) values used for the polynomial regression analysis are as follows:
Top regression line (x, y) values:
113, 18.6
240, 1004
451, 19128
655, 65502
Bottom regression line (x, y) values:
103, 2.5
267, 211
471, 3193
676, 16255
The values above correspond to historical Bitcoin cycle tops and bottoms, where x is the weekly bar index and y is the weekly closing price of Bitcoin. The best fit is determined using metrics such as R-squared values, residual error analysis, and visual inspection. While the exact details of this evaluation are beyond the scope of this post, the following optimal parameters were found:
Top regression line parameter values:
a: 0.000202798
b: 0.0872922
c: -30.88805
d: 1827.14113
Bottom regression line parameter values:
a: 0.000138314
b: -0.0768236
c: 13.90555
d: -765.8892
📊Polynomial Regression Oscillator:
This publication also includes the oscillator version of the this model which is displayed at the bottom of the screen. The oscillator applies a logarithmic transformation to the price and the regression lines using the formula log10(x) .
The log-transformed price is then normalized using min-max normalization relative to the log-transformed top and bottom regression line with the formula:
normalized price = log(close) - log(bottom regression line) / log(top regression line) - log(bottom regression line)
This transformation results in a price value between 0 and 1 between both the regression lines.
🔍Interpretation of the Model:
In general, the red area represents a caution zone, as historically, the price has often been near its cycle market top within this range. On the other hand, the green area is considered an area of opportunity, as historically, it has corresponded to the market bottom.
The top regression line serves as a signal for the absolute market cycle peak, while the bottom regression line indicates the absolute market cycle bottom.
Additionally, this model provides a predicted range for Bitcoin's future price movements, which can be used to make extrapolated predictions. We will explore this further below.
🔮Future Predictions:
Finally, let's discuss what this model actually predicts for the potential upcoming market cycle top and the corresponding market cycle bottom. In our previous post here , a cycle interval analysis was performed to predict a likely time window for the next cycle top and bottom:
In the image, it is predicted that the next top-to-top cycle interval will be 208 weeks, which translates to November 3rd, 2025. It is also predicted that the bottom-to-top cycle interval will be 152 weeks, which corresponds to October 13th, 2025. On the macro level, these two dates align quite well. For our prediction, we take the average of these two dates: October 24th 2025. This will be our target date for the bull cycle top.
Now, let's do the same for the upcoming cycle bottom. The bottom-to-bottom cycle interval is predicted to be 205 weeks, which translates to October 19th, 2026, and the top-to-bottom cycle interval is predicted to be 259 weeks, which corresponds to October 26th, 2026. We then take the average of these two dates, predicting a bear cycle bottom date target of October 19th, 2026.
Now that we have our predicted top and bottom cycle date targets, we can simply reference these two dates to our model, giving us the Bitcoin top price prediction in the range of 152,000 in Q4 2025 and a subsequent bottom price prediction in the range of 46,500 in Q4 2026.
For those interested in understanding what this specifically means for the predicted diminishing return top and bottom cycle values, the image below displays these predicted values. The new values are highlighted in yellow:
And of course, keep in mind that these targets are just rough estimates. While we've done our best to estimate these targets through a data-driven approach, markets will always remain unpredictable in nature. What are your targets? Feel free to share them in the comment section below. Penunjuk
Penunjuk
Wave Surge [UAlgo]The "Wave Surge " is a comprehensive indicator designed to provide advanced wave pattern analysis for market trends and price movements. Built with customizable parameters, it caters to both beginner and advanced traders looking to improve their decision-making process.
This indicator utilizes wave-based calculations, adaptive thresholds, and volume analysis to detect and visualize key market signals. By integrating multiple analysis techniques.
It calculates waves for high, low, and close prices using a configurable moving average (EMA) technique and pairs it with volume and baseline analysis to confirm patterns. The result is a robust framework for identifying potential entry and exit points in the market.
🔶 Key Features
Wave-Based Analysis: This indicator computes waves using exponential moving averages (EMA) of high, low, and close prices, with an adjustable wave period to suit different market conditions.
Customizable Baseline: Traders can select from multiple baseline types, including VWMA (Volume-Weighted Moving Average), EMA, SMA (Simple Moving Average), and HMA (Hull Moving Average), for trend confirmation.
Adaptive Thresholds: The adaptive threshold feature dynamically adjusts sensitivity based on a chosen period, ensuring the indicator remains responsive to varying market volatility.
Volume Analysis: The integrated volume analysis calculates volume ratios and allows traders to enable or disable this feature to refine signal accuracy.
Pattern Recognition: The indicator identifies specific wave patterns (Wave 1, Wave 3, Wave 4, Wave 5, Wave 6) and visually plots them on the chart for easy interpretation.
Visual and Color-Coded Signals: Clear visual signals (upward and downward arrows) are plotted on the chart to highlight potential bullish or bearish patterns. The baseline is color-coded for an intuitive understanding of market trends.
Configuration: Parameters for wave period, baseline length, volume factors, and sensitivity can be tailored to align with the trader’s strategy and market environment.
🔶 Interpreting the Indicator
Wave Patterns
The indicator detects and plots six unique wave patterns based on price changes that exceed an adaptive threshold. These patterns are validated by the direction of the baseline:
Wave 1 (Bullish): Triggered when the price increases above the threshold while the baseline is falling.
Wave 3, 4, and 6 (Bearish): Indicate potential downtrends validated by a rising baseline.
Wave 5 (Bullish): Suggests upward momentum when prices exceed the threshold with a falling baseline.
Baseline Trend
The baseline serves as a trend confirmation tool, dynamically changing color to reflect market direction:
Aqua (Rising): Indicates an upward trend.
Red (Falling): Indicates a downward trend.
Volume Confirmation
When enabled, the volume analysis feature ensures that signals are supported by significant volume movements. Patterns with high volume are considered more reliable.
Signal Visualization
Upward Arrows (🡹): Highlight potential bullish opportunities.
Downward Arrows (🡻): Highlight potential bearish opportunities.
Alerts
Alerts are triggered when key wave patterns are identified, providing traders with timely notifications to take action without being tied to the screen.
🔶 Disclaimer
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results. Penunjuk
Weierstrass Function (Fractal Cycles)THE WEIERSTRASS FUNCTION
f(x) = ∑(n=0)^∞ a^n * cos(b^n * π * x)
The Weierstrass Function is the sum of an infinite series of cosine functions, each with increasing frequency and decreasing amplitude. This creates powerful multi-scale oscillations within the range ⬍(-2;+2), resembling a system of self-repetitive patterns. You can zoom into any part of the output and observe similar proportions, mimicking the hidden order behind the irregularity and unpredictability of financial markets.
IT DOESN’T RELY ON ANY MARKET DATA, AS THE OUTPUT IS BASED PURELY ON A MATHEMATICAL FORMULA!
This script does not provide direct buy or sell signals and should be used as a tool for analyzing the market behavior through fractal geometry. The function is often used to model complex, chaotic systems, including natural phenomena and financial markets.
APPLICATIONS:
Timing Aspect: Identifies the phases of market cycles, helping to keep awareness of frequency of turning points
Price-Modeling features: The Amplitude, frequency, and scaling settings allow the indicator to simulate the trends and oscillations. Its nowhere-differentiable nature aligns with the market's inherent uncertainty. The fractured oscillations resemble sharp jumps, noise, and dips found in volatile markets.
SETTINGS
Amplitude Factor (a): Controls the size of each wave. A higher value makes the waves larger.
Frequency Factor (b): Determines how fast the waves oscillate. A higher value creates more frequent waves.
Ability to Invert the output: Just like any cosine function it starts its journey with a decline, which is not distinctive to the behavior of most assets. The default setting is in "inverted mode".
Scale Factor: Adjusts the speed at which the oscillations grow over time.
Number of Terms (n_terms): Increases the number of waves. More terms add complexity to the pattern. Penunjuk
Wolfe Wave Detector [LuxAlgo]The Wolfe Wave Detector displays occurrences of Wolfe Waves, alongside a target line. A multiple swing detection approach is used to maximize the number of detected waves.
The indicator includes a dashboard with the number of detected waves, as well as the number of reached targets.
🔶 USAGE
The Wolfe Wave pattern is a chart pattern composed of five segments, with the initial segment extremities (points XABCD) forming a channel containing price variations.
After the price reaches point D , we can expect a reversal toward a target line (point E ). The target line is obtained by connecting and extending point X -> C .
The script draws the XABCD pattern and a projection of where E might potentially be located.
The projection is derived from the intersection between the target line and a line starting from D , parallel to B-C . From this line, margins are added, left and right, creating a wedge-shaped figure in most cases.
When the price passes the target line, this is highlighted by a dot. The dot and pattern are green by default when the target is above D and red when the target is below D . Colors can be edited in the settings. The dashed target line is colored in the opposite color.
As seen in the above example, the price trend can reverse after reaching the target line.
🔹 Symmetry
Ideally, the Wolfe Wave must have a degree of symmetry; every upward line should have a similar angle to the other upward lines, and the same should be true for the downward lines.
Also, the lines forming the channel should be as parallel as possible.
Users have the option to adjust the tolerance:
Margin controls the wave symmetry of the pattern
Angle controls the channel symmetry of the pattern
It's important to note that in both cases, a lower number will lead to more symmetrical patterns, but they may appear less frequently.
It is also important to note that increasing the Margin can delay validating the pattern. In the meantime, the price could surpass the channel in the opposite direction, invalidating and deleting the otherwise valid pattern.
🔹 Multiple Swings
Users can set a Minimum Swing length (for example 2) and a Maximum Swing length (for example 100) which defines the range of the swing point detection length, higher values for these settings will detect longer-term Wolfe patterns, while a larger range will allow for the detection of a larger number of patterns.
By using multiple swings, it is possible to find smaller next to larger patterns at the same time.
The dashboard shows the number of patterns found and targets reached. When, for example, bullish patterns are disabled in the settings, the dashboard only shows the results of bearish patterns.
🔹 Extend Target Line
The publication includes a setting that allows the Target Line to be extended up to 50 bars further. As seen in the above example, the Target Line can still be reached even after the pattern has been finalized. Once the Target Line is reached, it won't be updated further.
Here is another example of a Target Line being reached later on.
The Target Line acted as a support level, after which where the price changed direction.
🔹 Show Progression
An option is included to show the progression before the pattern is completed. Users can make use of the XABC pattern or visualize where point D should be positioned.
The focus lies on the bar range (between the left and right borders of the grey rectangle). The pattern is considered invalid and deleted when point D is beyond these limits. The height of the rectangle is optional. Ideally, the price should be located between the top and bottom of the rectangle, but it is not mandatory.
Show Progression has three options including:
Full: Show all lines of XABC plus line C-D and rectangle for the position of point D
Partial: Show line C-D and rectangle for the position of point D
None: Only show valid completed patterns
The 'Partial' option in the 'Show Progression' feature is designed to help users locate the desired position of point D without the visual clutter caused by the XABC lines. This can be useful for those who prefer a cleaner visual representation of the evolving pattern.
🔶 SETTINGS
🔹 Swing Length
Minimum: Minimum length used for the swing detection.
Maximum Swing Length: Maximum length used for the swing detection.
🔹 Tolerance
Margin: Influences the symmetry of the pattern; with a higher number allowing for less symmetry.
Angle: Influences the symmetry of the channel; with a higher number allowing for less symmetry.
🔹 Style
Toggle: Bullish/Bearish + colors
Extend Target Line: Extend a maximum of 50 bars or until Target Line is reached
Show Progression: Show pattern progression
Dot Size: The size of the dot when the Target Line is reached
🔹 Dashboard
Show Dashboard: Toggle dashboard which shows the number of found patterns and targets reached.
Location: Location of the dashboard on the chart.
Text Size: Text size.
🔹 Calculation
Calculated Bars: Allows the usage of fewer bars for performance/speed improvement
Penunjuk
Wave Consolidation [LuxAlgo]The Wave Consolidation indicator uses market profiles to highlight consolidation zones based on upward and downward moves determined when a Higher-High or Lower-Low is created.
Users can control the amount of consolidation zones to display and the sensitivity of the swing point detection used to return those zones.
🔶 USAGE
These zones are intended as areas of interest to traders where price has seen historical interactions, which can be interpreted as support and resistance. By identifying these areas of interest before the price returns to them, traders are able to anticipate and prepare for various scenarios and respond dynamically to the behavior of the market, as seen below.
Rejection: A quick move away from the zone may indicate that the area is either overvalued or undervalued, leading to a fast movement in the opposite direction.
Breakthrough: Moving beyond a zone could indicate acceptance at that specific price, potentially signaling a shift in momentum or the start of a new trend. In a strong major trend, zones created from smaller trends could be used as price targets for taking profit and managing risk.
Consolidation: Holding these zones might suggest a market in balance at these levels, this could lead to opportunities for range-bound trading.
Below is an example of the Rejection and Consolidation scenarios described above.
Note: By analyzing the tests and retests of these zones, traders can also gain further insight into where participants are interacting in the market.
🔶 DETAILS
The full process for acquiring and managing these zones is described in the sub-sections below.
🔹 Creation
By only considering market movements creating a higher-high or lower-low, we can identify meaningful, directional, moves which can then be used to calculate zones.
Once a move is identified, the script calculates a volume profile spanning the length of the given move.
The width of the zones is determined starting from the POC of the profile and expanding outwards until the value of the profile's row falls below the profile's average.
Note: By increasing the "Multiplier" Input, Users can increase the threshold the script uses to determine zone width in multiples of Standard Deviations above the Average.
While this area is similar to a VP Value Area, it is not intended to replicate a value zone. The calculation is not concerned with capturing any % of the total profile's volume within the zone and only analyzes based on a fixed inclusion threshold.
🔹 Management
To keep clutter to a minimum, If a new zone overlaps a recently created zone, the zones are grouped as one. This is especially helpful in areas where prices are ranging, creating multiple zones in a very similar area.
Zones before management:
Zones after management:
🔹 Deletion
Just because a zone is crossed, does not make it immediately unimportant!
Once a Zone is mitigated (crossed in the opposite direction of its bias) it is reduced to a single dotted line representing the outer threshold for the zone. These lines are important to watch, as the price will often retest a break. For this reason, they will stay on the chart until the next swing point is detected when they will finally be deleted for good.
Below is an example of activity around a broken zone before it is deleted.
Below is the same example 2bBars later , once the new swing is confirmed, the dotted lines are deleted and new zones are created.
Notice how the newly formed resistance zone is in the same area where we noticed sellers previously.
🔶 SETTINGS
🔹 Structure
Display Structure: Determines if swing structures are displayed.
Structure Length: Sets Length for structure identification.
🔹 Zones
Volume-Based Calculations: Opt to use a "Volume" based Profile Calculation instead of the default "Price Action" based Calculation.
Display Count: Sets the specific number of bullish and bearish zones to display on the chart.
Multiplier: Sets the multiplier to use for the value cut-off for determining zone boundaries.
🔹 Style
Display Average Lines: Toggles on/off the average (mid) lines for the zones.
Penunjuk
RSI Momentum Waves [Quantigenics]RSI Momentum Waves Indicator
The RSI Momentum Waves Indicator is your intuitive tool for visualizing market strength and trend persistence. It refines the classic RSI by smoothing the data with Exponential Moving Averages (EMAs), which help clear out the noise to give you a more accurate picture of where the market’s heading. The parameters - RSI Period, Smoothing Period, Overbought, Oversold, Upper Neutral Zone, and Lower Neutral Zone - are all adjustable, so you can tailor the indicator to different market conditions or your trading style.
How It Works:
RSI Period (RsiPer): Adjusts how far back the RSI looks to calculate its value, affecting its sensitivity.
Smoothing Period (SmoothPer): Dictates how smooth the EMA lines are, balancing between sensitivity and noise reduction.
Overbought (OBLevel) / Oversold (OSLevel) Levels: Set the thresholds where the market might be too stretched in either direction and due for a reversal.
Neutral Zones (UpperNZ / LowerNZ): Define the areas where the market is considered neutral, and trend strength is less clear.
Trading Instructions:
Use the RSI Momentum Waves to gain insights into the market’s momentum and make informed decisions:
For Trend Identification: If the waves are consistently above the 50 line and climbing, the market may be bullish; if below and declining, bearish signals are suggested.
Overbought and Oversold Regions: Entering these areas might indicate a potential reversal. A peak and downturn in the overbought region can signal a sell, while a trough and upturn in the oversold region can indicate a buy.
Neutral Zone Caution: In the neutral zones, exercise caution and wait for a breakout in either direction for stronger signals.
Confirm with Other Analysis: Never rely solely on one indicator. Confirm the RSI Momentum Waves signals with other technical indicators or fundamental analysis for best practices.
Remember, the goal is to detect the rhythm of the market’s momentum and act accordingly. Happy trading!
Penunjuk
Hurst Future Lines of Demarcation StrategyJ. M. Hurst introduced a concept in technical analysis known as the Future Line of Demarcation (FLD), which serves as a forward-looking tool by incorporating a simple yet profound line into future projections on a financial chart. Specifically, the FLD is constructed by offsetting the price half a cycle ahead into the future on the time axis, relative to the Hurst Cycle of interest. For instance, in the context of a 40 Day Cycle, the FLD would be represented by shifting the current price data 20 days forward on the chart, offering an idea of future price movement anticipations.
The utility of FLDs extends into three critical areas of insight, which form the backbone of the FLD Trading Strategy:
A price crossing the FLD signifies the confirmation of either a peak or trough formation, indicating pivotal moments in price action.
Such crossings also help determine precise price targets for the upcoming peak or trough, aligned with the cycle of examination.
Additionally, the occurrence of a peak in the FLD itself signals a probable zone where the price might experience a trough, helping to anticipate of future price movements.
These insights by Hurst in his "Cycles Trading Course" during the 1970s, are instrumental for traders aiming to determine entry and exit points, and to forecast potential price movements within the market.
To use the FLD Trading Strategy, for example when focusing on the 40 Day Cycle, a trader should primarily concentrate on the interplay between three Hurst Cycles:
The 20 Day FLD (Signal) - Half the length of the Trade Cycle
The 40 Day FLD (Trade) - The Cycle you want to trade
The 80 Day FLD (Trend) - Twice the length of the Trade Cycle
Traders can gauge trend or consolidation by watching for two critical patterns:
Cascading patterns, characterized by several FLDs running parallel with a consistent separation, typically emerge during pronounced market trends, indicating strong directional momentum.
Consolidation patterns, on the other hand, occur when multiple FLDs intersect and navigate within the same price bandwidth, often reversing direction to traverse this range multiple times. This tangled scenario results in the formation of Pause Zones, areas where price momentum is likely to temporarily stall or where the emergence of a significant trend might be delayed.
This simple FLD indicator provides 3 FLDs with optional source input and smoothing, A-through-H FLD interaction background, adjustable “Close the Trade” triggers, and a simple strategy for backtesting it all.
The A-through-H FLD interactions are a framework designed to classify the different types of price movements as they intersect with or diverge from the Future Line of Demarcation (FLD). Each interaction (designated A through H by color) represents a specific phase or characteristic within the cycle, and understanding these can help traders anticipate future price movements and make informed decisions.
The adjustable “Close the Trade” triggers are for setting the crossover/under that determines the trade exits. The options include: Price, Signal FLD, Trade FLD, or Trend FLD. For example, a trader may want to exit trades only when price finally crosses the Trade FLD line.
Shoutouts & Credits for all the raw code, helpful information, ideas & collaboration, conversations together, introductions, indicator feedback, and genuine/selfless help:
🏆 @TerryPascoe
🏅 @Hpotter
👏 @parisboy
Strategi
ZigZag Multi [TradingFinder] Trend & Wave Lines - Structures🔵 Introduction
"Zigzag" is an indicator that forms based on price changes. Essentially, the function of this indicator is to connect consecutive and alternating High and Low pivots. This pattern assists in analyzing price changes and can also be used to identify classic patterns. "Zigzag" is an analytical tool that, by filtering partial price movements based on the specified period, can identify price waves across different time frames (short or long term).
🔵 Reason for Creation
The combination of "short term zigzag" and "long term zigzag" enhances accuracy and reduces analysis time. In a time frame, "long term zigzag" represents the main trend, while "short term zigzag" depicts short-term waves.
🔵 How to Use
After selecting the desired time frame and adding "zigzag" to the chart, begin utilization. Keep in mind to identify the main market trend from "long term zigzag" and the minor waves from "short term zigzag".
🟣 Important: Additionally, classic patterns such as HH, LH, LL, and HL can be recognized. All traders analyzing financial markets using classic patterns and Elliot Waves can benefit from the "zigzag" indicator to facilitate their analysis.
🔵 Settings
Short term zigzag : In this section, you can adjust settings such as time frame range, display mode, color, and line width of the zigzag lines.
Short term label : This section allows you to activate or deactivate the display of zigzag labels according to your needs. You can also customize their color and size.
Long term zigzag : Here, you can adjust settings for time frame range, display mode, color, and line width of zigzag lines.
Long term label : Similar to short term label settings.
The recommended time frame for "long term zigzag" is between 9 to 15, and for "short term zigzag" is between 3 to 5.
🟣 Important Notes :
Considering the different behaviors of financial markets and various time frames, it is recommended to experiment with different time frame settings when using "zigzag" to find the best settings for each symbol and time frame, thereby preventing potential errors.
🟣 Terminology Explanations :
"HH": When the price is higher than the previous peak (Higher High).
"HL": When the price is higher than the previous low (Higher Low).
"LH": When the price is lower than the previous peak (Lower High).
"LL": When the price is lower than the previous low (Lower Low).
Penunjuk
Awesome Oscillator + Bars count lines + EMA LineThe indicator includes an Awesome Oscillator with 2 vertical lines at a distance of 100 and 140 bars from the last bar to determine the third Elliott wave by the maximum peak of AO in the interval from 100 to 140 bars according to Bill Williams' Profitunity strategy. Additionally, a faster EMA line is displayed that calculates the difference between 5 Period and 34 Period Exponential Moving Averages (EMA 5 - EMA 34) based on the midpoints of the bars, just like AO calculates the difference between Simple Moving Averages (SMA 5 - SMA 34).
In the indicator settings, you can change the number of bars for vertical lines and any parameters for AO and EMA - method (SMA, Smoothed SMA, EMA and others), length, source (open, high, low, close, hl2 and others).
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Индикатор включает Awesome Oscillator с 2 вертикальными линиями на расстоянии 100 и 140 баров от последнего бара, чтобы определить третью волну Эллиота по максимальному пику AO в интервале от 100 до 140 баров по стратегии Profitunity Билла Вильямса. Дополнительно отображается более быстрая линия EMA, которая вычисляет разницу между 5 Периодной и 34 Периодной Экспоненциальными Скользящими Средними (EMA 5 - EMA 34) по средним точкам баров (hl2), точно так же, как AO вычисляет разницу между Простыми Скользящими Средними (SMA 5 - SMA 34).
В настройках индикатора вы можете изменить количество баров для вертикальных линий и любые параметры для AO и EMA – метод (SMA, Smoothed SMA, EMA и другие), длину, источник (open, high, low, close, hl2 и другие). Penunjuk
Visible bars count on chart + highest/lowest bars, max/min AOThe indicator displays the number of visible bars on the screen (in the upper right corner), including the prices of the highest and lowest bars, the maximum or minimum value of the Awesome Oscillator (similar to MACD 5-34-5) for identify the 3-wave Elliott peak in the interval of 100 to 140 bars according to the Profitunity strategy of Bill Williams. The values change dynamically when scrolling or changing the scale of the graph.
In the indicator settings, you can hide labels, lines and change any parameters for the AO indicator - method (SMA, Smoothed SMA, EMA and others), length, source (open, high, low, close, hl2 and others).
‼️ The values are updated within 2-3 seconds after changing the number of visible bars on the screen.
***
Индикатор отображает количество видимых баров на экране (в правом верхнем углу), в том числе цены самого высокого и самого низкого баров, максимальное или минимальное значение Awesome Oscillator (аналогично MACD 5-34-5), чтобы определить пик 3-волны Эллиота в интервале от 100 до 140 баров по стратегии Profitunity Билла Вильямса. Значения меняются динамически при скроллинге или изменении масштаба графика.
В настройках индикатора вы можете скрыть метки, линии и изменить любые параметры для индикатора AO – метод (SMA, Smoothed SMA, EMA и другие), длину, источник (open, high, low, close, hl2 и другие).
‼️ Значения обновляются в течении 2-3 секунд после изменения количества видимых баров на экране. Penunjuk
Penunjuk
