Auto Target Pro◆➤OVERVIEW
Auto Target Pro v6 is a professional TradingView indicator designed to help traders manage entries, stop loss, and profit targets with a structured approach.
The indicator combines trend analysis, volatility measurement, and risk-based target calculation to provide a complete trade management system directly on the chart.
Auto Target Pro helps traders visualize potential entry points, risk levels, and multiple profit targets without manually calculating every level.
◆➤FEATURES
• Automatic BUY and SELL signals
• Dynamic Entry price calculation
• ATR-based Stop Loss system
• Automatic TP1, TP2, and TP3 levels
• Risk-to-Reward based target projection
• Real-time trade management
• Visual Entry, Stop Loss, and Target lines
• Target hit detection system
• Professional dashboard display
• Alert support for signals and targets
• Works on Forex, Crypto, Stocks, Indices, and Commodities
• Designed for scalping, intraday, and swing trading
◆➤HOW IT WORKS
Auto Target Pro uses a combination of trend structure and volatility analysis.
The system identifies market direction using trend calculations and detects potential trading opportunities.
After a signal appears:
◆➤BUY Setup:
Entry price is calculated automatically
Stop Loss is placed using market volatility
TP1, TP2, and TP3 are calculated based on risk distance
◆➤SELL Setup:
Entry price is calculated automatically
Stop Loss is adjusted according to bearish conditions
Multiple profit targets are displayed automatically
The target levels are dynamic and adapt according to current market conditions.
◆➤HOW TO USE
Add Auto Target Pro v6 to your TradingView chart.
Select your preferred timeframe according to your trading style:
Scalping: 1m, 5m, 15m
Intraday: 30m, 1H
Swing Trading: 4H, Daily
Wait for BUY or SELL confirmation.
Use the displayed levels:
Entry = Trade activation area
SL = Risk protection level
TP1 = First profit target
TP2 = Second profit target
TP3 = Final target area
Always combine signals with proper risk management and your own market analysis.
◆➤IMPORTANT NOTE
Auto Target Pro is a technical analysis tool created to assist traders in decision-making. No indicator can guarantee future market results. Always use proper risk management before entering any trade. אינדיקטור
SMC Volume Boost Matrix v6◆ Overview
SMC Volume Boost Matrix v6 is an advanced TradingView indicator that combines Smart Money Concepts with volume analysis to help traders identify high-probability trading opportunities. By analyzing market structure together with volume momentum, the indicator highlights areas where institutional participation may be increasing, giving traders additional context for trend continuation and potential reversals.
The indicator is designed to simplify market analysis while providing clear visual information for decision-making across multiple financial markets.
◆ Features
• Smart Money Concepts (SMC) based market structure analysis
• Volume boost detection for stronger market confirmation
• Automatic Bullish and Bearish trend identification
• Clear BUY and SELL signal visualization
• Dynamic trend confirmation using price and volume
• High-volume breakout detection
• Early momentum shift recognition
• Professional on-chart visualization
• Real-time signal generation
• Customizable settings for different trading styles
• Suitable for Forex, Crypto, Stocks, Indices, and Commodities
• Compatible with scalping, intraday, and swing trading
◆ How It Works
SMC Volume Boost Matrix v6 monitors both price structure and trading volume simultaneously.
When market structure aligns with increasing volume, the indicator identifies stronger directional momentum. A bullish market structure supported by rising volume may indicate increasing buying pressure, while a bearish structure with strong volume may indicate increasing selling pressure.
Instead of relying on volume or price alone, the indicator combines multiple market factors to provide more informed trading signals.
◆ How To Use
Add SMC Volume Boost Matrix v6 to your TradingView chart.
Choose the timeframe that matches your trading strategy.
Wait for a confirmed BUY or SELL signal after market structure and volume conditions align.
Use the indicator together with key support and resistance levels, liquidity zones, or your existing trading plan for additional confirmation.
Apply proper risk management before entering any trade, including defining your stop-loss and profit targets. אינדיקטור
Bitcoin Almanac [WillyAlgoTrader]₿ Bitcoin Almanac is an overlay indicator that maps the entire Bitcoin macro landscape on one chart: a fixed-length cycle time model (bull/bear phases projected from a single anchor date), two hyperbolic curves fitted through historical cycle lows and cycle highs in log-price space, Fibonacci grids stretched between every macro pivot, halving markers, accumulation and distribution zones, and a hypothetical price path for the next bull leg — all summarized in a live dashboard with projected turn dates, curve prices, and historical correction depths.
The core insight: Bitcoin's completed cycles show a remarkably stable time rhythm (roughly 1064 days up, 364 days down) and a decelerating growth pattern that a hyperbola in log10(price) captures with surprisingly small error. Neither observation is a law of nature — but when the time model and the price curves are combined on one chart, they produce concrete, falsifiable reference points: a projected top date with a curve price, a projected bottom date with a curve price, and buy/sell zones derived from both. The indicator makes the whole framework explicit, configurable, and honest about its assumptions.
Everything is driven by dates and user-defined pivots — not by real-time price action — so nothing repaints: the lines you see today are the lines you saw yesterday.
🧩 WHY THESE COMPONENTS WORK TOGETHER
A cycle-date model alone answers WHEN but not AT WHAT PRICE. A curve through historical lows answers WHERE support migrates but not WHEN price will meet it. Fibonacci retracements answer WHERE pullbacks tend to end, but only if you know which macro leg to anchor them to. Used separately, each tool leaves you guessing at the missing dimension.
Bitcoin Almanac chains them into one pipeline:
Cycle time model (anchor + phase lengths) → projected turn dates → hyperbolic lows/highs curves → curve price AT each projected date → Fibonacci grids between macro pivots → 0.786–0.836 accumulation zones bounded by cycle end dates → ±% distribution zones around each high → replayed bull-path projection between the two curve endpoints → dashboard synthesis
The time model supplies the X-coordinate of every future event. The two hyperbolas supply the Y-coordinate: the lows curve is evaluated exactly at the projected bottom date, the highs curve exactly at the projected top date — the "◎ cycle × curve" labels mark these intersections with date and price. The Fibonacci grids are then anchored to the same pivots the curves are built from, so the 0.786–0.836 buy zone of the current leg stretches in time precisely to the model's next cycle-bottom date. Finally, the projection module takes the two curve × date intersections as endpoints and fills the path between them by replaying the shape of the previous bull phase in log space.
No single component can do this: the intersection of an independent time model with an independent price model is what turns two vague trajectories into specific, checkable coordinates.
🔍 WHAT MAKES IT ORIGINAL
1️⃣ Fixed-rhythm cycle engine — pure time math, zero price input.
The phase of any bar is computed directly from calendar time:
daysSince = (barTime − anchor) / 86 400 000
phasePos = daysSince mod (bullDays + bearDays)
isBull = phasePos < bullDays
Defaults: anchor = 07 Nov 2022, bullDays = 1064, bearDays = 364 (each ≈ the average of the three completed BTC cycles). A true mathematical modulo (always ≥ 0) phases bars BEFORE the anchor correctly, so past cycles line up too. With defaults this reproduces the well-known projected dates: top ≈ 06 Oct 2025, bottom ≈ 05 Oct 2026. An alternative anchor (21 Nov 2022 — the actual lowest trade of the cycle) is documented right in the input tooltip and shifts the bottom to 19 Oct 2026.
Why this matters: because the phase depends only on time, the bull/bear background, turn lines and flip alerts are deterministic and cannot repaint — the model's claims are fully falsifiable in advance.
2️⃣ Hyperbolic curve through cycle lows — exact geometry or least-squares fit, with the error printed on the chart.
The lows model is log10(price) = a + b / (c − t), where t is days from the first pivot. The hyperbola has a vertical asymptote in the past and a horizontal asymptote in the future — it encodes decelerating growth, which a straight log-regression line cannot.
— With exactly 3 enabled lows (default: Aug 2015 ≈ $169, Dec 2018 ≈ $3 122, Nov 2022 ≈ $15 476) the three parameters are solved exactly — the curve passes through the pivots by construction. This is geometry, not statistics, and the label says so: "exact through 3 lows".
— With 4+ enabled lows (three optional early-history slots: 2011, 2013, 2015 are provided) the indicator switches to a least-squares fit: a coarse log-spaced search over 250 candidate asymptote positions, followed by a 200-step linear refinement around the best candidate. The curve label then reports the number of points and the RMSE in log10 units — the fit quality is never hidden.
A fit is accepted only if b > 0 and the asymptote c lies before the earliest pivot — degenerate solutions are rejected and the curve simply doesn't draw.
3️⃣ Second independent hyperbola through cycle highs.
The same model is fitted to cycle tops (defaults: Nov 2013 ≈ $1 238, Dec 2017 ≈ $19 700, Nov 2021 ≈ $69 000, Oct 2025 ≈ $126 200 — four points, so LS fit with visible RMSE). A fifth, disabled slot exists only if you want to force the fit through your own future target; you never need it for the projection, because the future top is marked automatically at the crossing of the highs curve with the projected top date.
Why two curves: lows and highs decelerate at different rates. Fitting them independently (instead of offsetting one curve) lets the model express a narrowing channel without assuming its shape.
4️⃣ "Cycle × curve" intersection labels — the model's testable predictions.
At the projected bottom date the lows curve is evaluated: ◎ label with date ≈ price. At the projected top date the highs curve is evaluated: ◎ label with date ≈ price. These two points are the indicator's headline output — a date AND a price for each future turn, derived from two independent models. Both curves extend beyond their intersection as dashed lines (lows: default 10 years, highs: 5 years) to show the long-term trajectory.
5️⃣ Macro Fibonacci grids with a time-bounded 0.786–0.836 accumulation zone.
All enabled lows and highs are merged chronologically; every leg between two pivots of opposite type receives a grid (low→high = bull grid, high→low = bear grid; same-type neighbours are skipped). Levels are fully user-defined (default: 0, 0.236, 0.382, 0.5, 0.618, 0.786, 0.836, 0.886, 1; values > 1 add extensions).
Two non-standard options:
— Log-scale interpolation : level price = 10^(log10(pA) + f × (log10(pB) − log10(pA))) — matches a fib tool drawn on a log chart. Off by default (arithmetic levels for a linear chart).
— Reverse mode (default ON): ratio 0 sits at the END of the leg, so on a bull leg 0.618 is the classic retracement below the high.
The 0.786–0.836 zone of each bull leg is highlighted as a "BUY ZONE" box — and here is the original part: the box stretches in time from the leg start to the end date of the cycle the leg belongs to (the next projected cycle bottom). Depth from the fib model, deadline from the time model — the zone is a rectangle in (price × time), not just a price band.
6️⃣ Distribution zones tied to the cycle skeleton.
Every enabled high gets a "SELL ZONE" box spanning high ± sellPct (default 5% → from high × 0.95 to high × 1.05). The time span runs from the LATER of (a) the latest enabled low before that high or (b) the model's cycle bottom immediately preceding it — so a projected 2029 high starts its zone at the projected Oct-2026 bottom, not at a 2022 pivot. If no enabled high exists in the upcoming cycle, a projected sell zone is created automatically at the highs-curve × projected-date crossing (duplicate-guarded within half a cycle).
7️⃣ Bull-path projection — fractal replay of the previous bull, rescaled in log space.
The path for the NEXT bull phase (with defaults: 05 Oct 2026 → 03 Sep 2029) is drawn between two model-derived endpoints: start = lows curve at the projected bottom, end = highs curve at the following projected top. Two shapes:
— Replay last bull (default): the log-price trajectory of the previous bull phase is recorded bar by bar (confirmed bars only, thinned to ≤ 400 samples for memory safety on intraday timeframes), then linearly rescaled: y(progress) = yStart + (ref(progress) − ref(0)) × (yEnd − yStart) / (ref(1) − ref(0)). The result keeps the timing character of the last cycle — early acceleration, mid-cycle chop, late blow-off — mapped onto the new endpoints.
— Log-linear : a straight line on a log chart between the endpoints. The replay mode automatically falls back to log-linear if the reference phase covers less than 90% of the bull duration.
The path is explicitly labeled "◇ PROJECTED PATH (hypothetical)" — it is a scenario generator, not a forecast.
8️⃣ Corrections table — every macro drawdown since 2014, including the unfinished one.
The dashboard lists every completed high → following-low leg between enabled pivots since 2014 as a % drop (e.g. 2017–2018: −84%). If the latest pivot is a high with no low after it, the current correction is projected : measured from that high to the lows-curve price at the next model bottom, and marked "(proj.)" in accent color. You always see how the ongoing decline compares with history.
9️⃣ Full-transparency dashboard with a phase gauge and next-leg scenario PNL.
Four toggleable sections: Cycle (phase, day X / Y, ██████░░░░ progress gauge), Projection (top and bottom dates with days-left counters and curve prices, plus the hypothetical PNL of the next bull leg: (topCurve / bottomCurve − 1) × 100% and the × multiple), Corrections (see 8️⃣), Ranges (nearest upcoming buy range = the 0.786–0.836 zone prices; nearest sell range = the ±% zone around the next projected high). The footer states the calibration chart (INDEX:BTCUSD · W · linear scale, with a live ✓ when you're on it), a timeframe warning, and the sample-size caveat "⚠ Sample size: 3 cycles" — the model's biggest limitation is printed on the chart itself.
🔟 Efficient, tick-stable rendering.
All drawings (500+ polyline points, fib grids, boxes, dashboard) are anchored to bar-open times and first-bar curve fits — nothing changes within a bar. A redraw gate rebuilds them once per new bar instead of on every real-time tick, and both curve fits run exactly once on the first bar. The chart stays responsive even with all modules enabled.
📐 HOW IT WORKS — CALCULATION FLOW
Step 1 — Parse pivots: on the first bar, all enabled lows and highs are converted to (days-from-first-pivot, log10(price)) pairs.
Step 2 — Fit the curves: each set is fitted to log10(price) = a + b/(c − t) — exact solve for 3 points, two-stage least-squares search for 4+. Fit validity is checked (b > 0, asymptote before the data).
Step 3 — Phase every bar: calendar-time modulo against the anchor determines bull/bear phase, day-in-phase, and the timestamps of the current, next bottom and next top.
Step 4 — Evaluate intersections: the lows curve at the projected bottom date and the highs curve at the projected top date become the model's price targets.
Step 5 — Record the reference bull: during the anchor cycle's bull phase, confirmed closes are stored as (progress, log10 price) — the shape later replayed by the projection.
Step 6 — Draw (once per bar): turn lines and labels for N past and M future cycles, both hyperbolas with dashed extensions, fib grids per alternating pivot leg, buy/sell zone boxes, halving lines (2012 / 2016 / 2020 / 2024 solid, Apr 2028 dashed "(est.)"), the projected path, the dashboard and the watermark.
Step 7 — Alert: on confirmed bars, phase flips and the pre-turn countdown fire alert() calls in text or JSON format.
📖 HOW TO USE
🎯 Quick start:
1. Open the INDEX:BTCUSD chart, Weekly timeframe, regular (linear) price scale — the model is calibrated there, and the dashboard shows a ✓ when the symbol and timeframe match (the scale must be checked manually — Pine cannot detect it).
2. Add the indicator. The green/red background immediately shows the model's current phase; the dashboard shows the day count and progress gauge.
3. Find the two ◎ labels — the projected bottom (orange, lows curve) and the projected top (red, highs curve). These are the model's date + price coordinates for the next turns.
4. Check the yellow boxes: BUY ZONE (0.786–0.836 of the current bull leg, extended to the cycle end date) and SELL ZONE (±5% around each high).
5. Create ONE alert with condition "Any alert() function call" to receive flips and the pre-turn countdown.
👁️ Reading the chart:
— 🟢 Green background = model bull phase; 🔴 red = bear phase
— Solid green verticals = cycle bottoms; dashed red verticals = cycle tops; future turns are labeled ★ PROJECTED and drawn brighter
— 🟠 Orange curve = hyperbola through cycle lows (solid to the projected bottom, then dashed extension)
— 🔴 Red curve = hyperbola through cycle highs (solid to the projected top, then dashed extension)
— Small circles = the exact pivots each curve is built from
— ◎ labels = cycle × curve intersections with date, ≈ price, and fit info (point count + RMSE, or "exact through 3")
— Fib grids between macro pivots: solid edges (0 / 1), dashed 0.5, dotted intermediate levels, price + ratio labels on the right
— 🟡 Yellow boxes = BUY ZONE (0.786–0.836, time-bounded by the cycle end) and SELL ZONE (±% around highs; "(proj.)" = auto-generated at the projected top)
— ⛏ Grey verticals = halvings; the 2028 line is dashed and marked "(est.)"
— 🔵 Blue dashed path = hypothetical next-bull trajectory with its ◇ end label
📊 Dashboard fields:
— Phase / Phase day / Progress : current model phase, day within it, and a 10-segment gauge
— Proj. top / Proj. bottom : projected turn dates, days remaining, and the curve price at each date
— Next leg PNL : hypothetical bottom→top move of the next bull leg in % and as a × multiple — a scenario, not a forecast
— Corrections : every completed macro drawdown since 2014 (high → following low, %), plus the unfinished one projected to the curve bottom and marked (proj.)
— Next buy range / Next sell range : the price boundaries of the nearest upcoming accumulation and distribution zones
— Footer: recommended chart check, timeframe warning, sample-size caveat, version
🔧 Tuning guide:
— Curve doesn't draw: fewer than 3 pivots enabled, or the fit was rejected as degenerate — enable at least 3 lows (or highs) with sensible dates/prices.
— You disagree with a pivot price: every pivot is an editable date + price input — correct it and both the curve and the fib grids rebuild instantly.
— Want dates matching the actual price low: switch the anchor to 21 Nov 2022 (documented in the tooltip); the projected bottom moves to 19 Oct 2026.
— Fib levels look wrong on a log chart: enable "Log-scale levels" (keep it OFF on the recommended linear chart).
— Chart feels crowded: disable individual modules (grids, zones, halvings, projection) or dashboard sections — every block has its own switch.
— Curious about 2030+: enable "Show 2nd projected cycle" for one more bottom/top pair (~Sep 2030 / ~Aug 2033) — off by default because those dates carry double model uncertainty.
💡 Trading ideas:
— Accumulation planning : scale into the 0.786–0.836 BUY ZONE while the model is in its bear phase; the zone's right edge tells you the model's deadline.
— Distribution planning : scale out inside the ±5% SELL ZONE as the projected top date approaches; the pre-alert (default 30 days) gives you a heads-up.
— Scenario testing : move pivots, change phase lengths, or force High #5 to your own target and watch how the whole framework (curves, zones, PNL) responds — the model is a sandbox, not an oracle.
⚙️ KEY SETTINGS
⚙️ Cycle Model:
— Anchor — cycle bottom (default 07 Nov 2022): date all phases are projected from; alternative 21 Nov 2022 documented in the tooltip
— Bull phase length (default 1064 days) / Bear phase length (default 364 days): ≈ averages of the 3 completed cycles
— Cycles to draw back (default 3) / forward (default 1): how many turn lines and labels are drawn
— Show 2nd projected cycle (default off): one extra bottom/top pair with doubled uncertainty
🎨 Visual Settings:
— Theme (Auto / Dark / Light): Auto detects from the chart background; all text colors adapt
— Phase background , Cycle turn lines , Turn labels , Watermark : independent toggles with color inputs
📊 Dashboard:
— Position (4 corners), font size (Small–Huge; dividers render one step smaller), and per-section switches: Cycle / Projection / Corrections / Ranges
📈 Hyperbola — Lows:
— 3 main cycle lows (2015 / 2018 / 2022, on by default) + 3 optional early-history lows (2011 / 2013 / 2015) — each is a checkbox + date + price
— Dashed extension (default 10 years), curve color, anchor-point markers
📉 Hyperbola — Highs:
— 4 cycle highs (2013 / 2017 / 2021 / 2025, on by default) + a spare projected slot (off), extension (default 5 years), curve color
🔢 Fibonacci Grids:
— Bull grids (default on) / Bear grids (default off) with separate colors
— Levels (default "0, 0.236, 0.382, 0.5, 0.618, 0.786, 0.836, 0.886, 1"; values > 1 = extensions)
— Highlight 0.786–0.836 zone (default on), Log-scale levels (default off), Reverse (default on), level labels
⛏ Halvings: lines + labels toggles, color
🟡 Sell Zones: toggle, color, Zone size % from high (default 5%)
🔮 Price Projection: toggle, Path shape (Replay last bull / Log-linear), color
🔔 Alerts: master switch, Webhook JSON Format (default off), Pre-alert days (default 30)
🔔 ALERTS
— 🟢 CYCLE FLIP → BULL — model bottom date reached; payload: ticker, timeframe, price, next projected top date
— 🔴 CYCLE FLIP → BEAR — model top date reached; payload: ticker, timeframe, price, next projected bottom date
— ⏳ CYCLE TURN APPROACHING — fires once, N days (default 30) before the next projected turn; payload: turn type (TOP/BOTTOM), days left, date
All alerts fire on confirmed bars only (once per bar close) and support both human-readable text and JSON webhook payloads for bot integration. Create a single alert with condition "Any alert() function call".
⚠️ IMPORTANT NOTES
— 🚫 No repainting. The cycle phase is pure calendar-time math against a fixed anchor; the curves are fitted once from user-defined historical pivots; the reference bull shape is recorded from confirmed bars only; all alerts use bar-close frequency. Nothing in the model reads unconfirmed real-time data, so no line, zone or label moves after the fact.
— 📐 Sample size: 3 completed cycles. Every statistical claim in this model rests on three observations. The hyperbolic fits are geometry/regression over 3–6 points. Treat all projected dates and prices as reference scenarios with wide error bars — the dashboard says "Rhythm ≠ law" for a reason.
— 📏 Calibrated chart: INDEX:BTCUSD, Weekly, regular (linear) price scale. Exchange charts start later and distort early-history fits. Keep the fib "Log-scale levels" input OFF on a linear chart. The dashboard's ✓ confirms symbol and timeframe; the scale must be checked manually.
— ⚖️ Scope: this is a macro-cycle framework for Bitcoin. It produces no intraday entry signals, no stop placement, and no position sizing. The projected path is explicitly hypothetical.
— 🛠️ This is a cycle-analysis and scenario-visualization tool, not an automated trading bot. It provides projected turn dates, curve-based price references, and accumulation/distribution zones — trade decisions remain yours.
— 🌐 The script runs on any symbol and timeframe, but the model is designed for Bitcoin on Daily/Weekly charts — a dashboard warning appears on intraday timeframes.
Bitcoin Almanac · v1.5.2 אינדיקטור
Nadaraya-Watson Trend [QuantAlgo]🟢 Overview
The Nadaraya-Watson Trend indicator estimates a smooth, adaptive trend path by applying non-parametric kernel regression directly to price. For each bar it weights historical values inside a configurable lookback window with a chosen kernel function, normalizes those weights, and returns a single endpoint estimate that forms the plotted trend line. Bandwidth and kernel type control how aggressively recent bars dominate the estimate, optional residual bands express how far price is dispersed around that path, and slope based coloring with reversal markers make direction and turning points readable at a glance across any timeframe or instrument.
🟢 How It Works
The indicator is built around a one sided Nadaraya-Watson (NW) estimator: only the current bar and past bars enter the calculation, so the path behaves as a causal smoother rather than a centered, repainting fit. The pipeline has three stages: kernel weighting over the lookback window, normalized regression into a single trend value, and optional residual band construction from the same estimate.
First, effective bandwidth is formed from the configured bandwidth and multiplier. Each lag distance is then mapped to a kernel weight. Gaussian and Rational Quadratic keep infinite support with different decay shapes. Compact kernels (Epanechnikov, Triangular, Quartic, Cosine) only assign weight while the normalized lag stays inside the unit interval:
kernel_weight(float dist, float h, string ktype, float rq) =>
float w = 0.0
if h > 0.0
float u = dist / h
if ktype == 'Gaussian'
w := math.exp(-(dist * dist) / (2.0 * h * h))
else if ktype == 'Rational Quadratic'
w := math.pow(1.0 + (dist * dist) / (2.0 * rq * h * h), -rq)
else if math.abs(u) <= 1.0
if ktype == 'Epanechnikov'
w := 0.75 * (1.0 - u * u)
else if ktype == 'Triangular'
w := 1.0 - math.abs(u)
else if ktype == 'Quartic'
w := (15.0 / 16.0) * math.pow(1.0 - u * u, 2.0)
else if ktype == 'Cosine'
w := (math.pi / 4.0) * math.cos(math.pi * u / 2.0)
w
float h = bandwidth * h_mult
Next, the Nadaraya-Watson path is computed as the normalized weighted average of the selected source across the lookback window. Nearer bars dominate when bandwidth is low. Weight spreads more evenly when bandwidth is high, producing a smoother path:
float sum_w = 0.0
float sum_p = 0.0
for i = 0 to lookback
float w = kernel_weight(i, h, kernel_type, rel_weight)
sum_w += w
sum_p += src * w
float nw_trend = sum_w != 0.0 ? sum_p / sum_w : na
Finally, residual bands can be drawn from a kernel weighted mean absolute residual of the source versus the current NW estimate, scaled by the band multiplier. When price is tightly clustered around the path the envelope contracts. When price is dispersed the envelope expands, framing extension and compression relative to the same estimator that defines the trend:
float sum_abs = 0.0
float sum_res_w = 0.0
for i = 0 to lookback
float w = kernel_weight(i, h, kernel_type, rel_weight)
if w > 0.0 and not na(src ) and not na(nw_trend)
sum_abs += w * math.abs(src - nw_trend)
sum_res_w += w
float residual = sum_res_w != 0.0 ? sum_abs / sum_res_w : na
float upper = not na(nw_trend) and not na(residual) ? nw_trend + residual * band_mult : na
float lower = not na(nw_trend) and not na(residual) ? nw_trend - residual * band_mult : na
🟢 Signal Interpretation
▶ Bullish Path (Rising NW Line with Bullish Color): When the Nadaraya-Watson estimate is increasing bar to bar, the path and optional gradient fill plot in the bullish color, reading as an uptrend in the kernel smoothed series. Treat this as a long bias: strongest on the reversal marker with price holding above the path, or on pullbacks that respect the path while slope stays up. Bias weakens if price loses the path and the slope flattens or flips down.
▶ Bearish Path (Falling NW Line with Bearish Color): When the estimate is decreasing bar to bar, the path and fill plot in the bearish color, reading as a downtrend in the kernel smoothed series. Treat this as a short bias: strongest on the reversal marker with price holding below the path, or on bounces that fail at the path while slope stays down. Bias weakens if price reclaims the path and the slope flattens or flips up.
▶ Residual Bands (Optional Envelope Around the Path): With residual bands enabled, the upper and lower lines track a scaled kernel weighted residual around the NW path. Touches or closes beyond the outer band highlight price stretched away from the estimate. Returns toward the path after an extension often mark mean reversion relative to the kernel trend rather than a full regime change. Band width is derived from how widely the source has been scattered around the current NW estimate inside the lookback window
🟢 Features
▶ Preconfigured Presets: Three parameter sets tuned for different trading styles and timeframes. "Default" delivers balanced trend estimation for swing trading on 1H to daily charts, smoothing short lived noise while still responding to genuine directional turns. "Fast Response" is built for intraday work on 5 minute to 1H charts, keeping the path tighter to recent structure so turns register earlier at the cost of more frequent reversals in chop. "Smooth Trend" is aimed at position style reading on daily and weekly charts, forming a more stable baseline that flips only when the kernel path itself shifts with more conviction. Kernel type, residual bands, and visual options stay independently configurable under every preset.
▶ Kernel Library: Six kernel functions expand how the same endpoint Nadaraya-Watson framework assigns weight across the window. Gaussian is the classic smooth default with infinite support. Epanechnikov, Triangular, Quartic, and Cosine are compact kernels that fully exclude bars beyond the bandwidth scale. Rational Quadratic keeps infinite support with heavier tails, and its Relative Weighting input controls how much influence farther bars retain versus a Gaussian like decay. Switching kernels changes the shape of the single plotted path without adding a second model or external oscillator.
▶ Residual Bands: Optional envelope around the NW path built from kernel weighted mean absolute residuals of the source versus the estimate, scaled by Band Multiplier. Enable when you want extension and compression context around the same trend line. Disable when you want only the path, gradient, and markers.
▶ Built-in Alerts: Five alert conditions support hands off monitoring. "Bullish Kernel Reversal" fires on the bar the path slope flips from down to up. "Bearish Kernel Reversal" fires on the bar the path slope flips from up to down. "Any Kernel Reversal" fires on either directional flip. "Source Cross Above Upper Band" and "Source Cross Below Lower Band" fire when the selected source crosses the residual envelope extremes. Alert messages include exchange, ticker, and timeframe for immediate context.
▶ Visual Customisation: Six color presets (Classic, Aqua, Cosmic, Cyber, Neon, and Custom) apply coordinated bullish and bearish colors to the path, gradient fill, residual bands, markers, optional bar coloring, and optional background coloring. Custom unlocks independent bullish and bearish color pickers. Gradient fill, residual bands, reversal markers, bar coloring, and background coloring can each be toggled so the chart stays as clean or as expressive as the workflow requires.
אינדיקטור
Price Action Breakout Trend [QuantAlgo]🟢 Overview
Price Action Breakout Trend is a trend-following indicator built on structural range breakouts rather than moving average crossovers or oscillator thresholds. It tracks the highest high and lowest low of a defined lookback window to establish the levels price must decisively clear to confirm a directional shift, anchoring a trailing stop that ratchets in the trend's direction and reverses only when price breaks through it, helping traders distinguish genuine trend continuation from the shallow pullbacks that punctuate every sustained move across all timeframes and markets.
🟢 How It Works
The foundation of the indicator is the range defined by recent price extremes. On each bar it references the highest high and lowest low of the prior lookback window, excluding the current bar so the reference range is locked in before price interacts with it:
prior_high = ta.highest(high, lookback)
prior_low = ta.lowest(low, lookback)
These two levels frame the breakout boundaries. Rather than reacting to every marginal touch, the indicator lets you define what qualifies as a genuine break through the confirmation setting, which determines whether the closing price or the full bar extreme is tested against the trailing stop:
test_down = confirmation == 'Close' ? close : low
test_up = confirmation == 'Close' ? close : high
From these, a single trailing stop is maintained on the active side of the trend. While the trend holds bullish the stop ratchets upward, advancing to track the rising lookback low and never loosening, and the trend reverses the moment the tested price breaks below it:
if trend == 1
trail := math.max(trail, prior_low)
if test_down < trail
trend := -1
trail := prior_high
On that reversal the stop immediately re-anchors to the opposite extreme, flipping above price to begin trailing the new downtrend, where the mirror of this same logic ratchets the stop lower and flips the trend back to bullish once price breaks above it. Because the reversal is triggered by the same stop price has been trailing, the line is not a passive overlay but the actual decision boundary, with no separate signal calculation sitting behind it. This makes the indicator a continuous stop-and-reverse system that always holds a committed direction, retaining its bullish or bearish reading through every pullback contained within the range until price clears the trailing level.
🟢 Signal Interpretation
▶ Bullish Trend (Green): When price breaks above the trailing stop and the trend flips up, the indicator enters bullish mode with green coloring applied across the stop, gradient fill, and breakout levels. The stop sits below price and ratchets higher as the trend develops, and the reading holds through pullbacks that stay above it. The flip into green, marked by an up triangle beneath the bar, identifies a potential long/buy opportunity, with subsequent pullbacks toward the rising stop offering potential continuation entries while the trend remains intact.
▶ Bearish Trend (Red): When price breaks below the trailing stop and the trend flips down, the indicator enters bearish mode with red coloring across all visual elements. The stop sits above price and ratchets lower as the decline extends, holding bearish through rallies that fail to reclaim it. The flip into red, marked by a down triangle above the bar, identifies a potential short/sell opportunity, with rallies back toward the falling stop offering potential continuation entries on the downside.
🟢 Features
▶ Preconfigured Presets: Three parameter sets cover different trading approaches. "Default" targets swing trading on 4-hour and daily charts with a 10-bar lookback and close-based confirmation, filtering marginal breaks while staying responsive to genuine shifts. "Fast Response" shortens the lookback to 5 bars and switches to wick-based confirmation for intraday charts, where the trend needs to flip as soon as price trades beyond a recent extreme. "Smooth Trend" extends the lookback to 25 bars with close confirmation for position trading on daily and weekly timeframes, where the cost of a false flip exceeds the cost of a delayed one. Selecting a preset overrides the individual lookback and confirmation inputs.
▶ Built-in Alerts: Three alert conditions cover all directional states. "Bullish Breakout Signal" fires on the bar where the trend confirms bullish. "Bearish Breakout Signal" fires on the bar where it confirms bearish. "Any Breakout Signal" combines both into a single condition for traders who want a unified notification regardless of direction.
▶ Visual Customization: Six color presets (Classic, Aqua, Cosmic, Cyber, Neon, and Custom) apply coordinated bullish and bearish schemes across the trailing stop, gradient fill, breakout levels, markers, and optional bar and background coloring. Independent toggles control each visual layer, so the trailing stop line, the gradient fill that ramps from the stop toward price, the triangle markers printed on each flip, and the underlying breakout levels that frame the active range can each be shown or hidden without affecting the others. Bar coloring tints price candles with the active trend color at a configurable transparency, and background coloring extends the directional tint across the full chart pane. Both are disabled by default and controlled independently.
*Tips: Layer the Price Action Breakout Trend with complementary analysis rather than treating it as a standalone trading tool. Breakouts hold most reliably when backed by participation, so combine each flip with volume context, since a break on expanding volume is far more likely to sustain than one on thin flow, and read the level being cleared against market structure, as a breakout through a well-established swing high or low carries more significance than one in open space. Pairing this script with volume, open interest, CVD, market structure, and mean reversion indicators from our QuantAlgo toolkit can further validate a breakout before entry. אינדיקטור
MR8 Trend Direction & Signal IndicatorThe MR8 is a dynamic trend-following indicator built on the McGinley Dynamic moving average — one of the most responsive and self-adjusting smoothing algorithms available. Unlike traditional EMAs that can lag or whipsaw in changing market conditions, the McGinley Dynamic automatically adapts its speed based on market velocity, resulting in cleaner, more reliable signals.
How It Works
MR8 plots two McGinley Dynamic lines — a faster Ribbon 8 and a slower Ribbon 9. When the faster line crosses above the slower line, the ribbon turns white, signaling bullish momentum and a potential long entry. When the faster line crosses below, the ribbon turns grey, signaling bearish momentum and a potential short entry. This crossover method filters out the noise and false flips that plague single-line slope-based indicators.
Built-In Stop Loss
MR8 includes an optional visual stop loss line calculated directly from the ribbon's current value — 2% above the line for shorts, 2% below for longs. Toggle it on in settings to see exactly where your risk level sits relative to the indicator itself, on any timeframe.
Alert Ready
MR8 includes two built-in alert conditions — one for long signals and one for short signals — with a webhook-compatible JSON message format. Connect directly to any automated trading bot or notification system with zero additional configuration.
Best Used On
BTC/USD and BTC/USDT
55 minute, 1 hour, and higher timeframes
Futures and spot markets
Settings
Ribbon 8 Length — controls the speed of the faster line (default 12)
Ribbon 9 Length — controls the speed of the slower line (default 21)
Stop Loss % — distance from the ribbon for the optional SL line (default 2%)
Show Stop Loss Line — toggle the SL visualization on or off אינדיקטור
Monotonic Trend Consensus [QuantAlgo]🟢 Overview
Monotonic Trend Consensus is a trend-following oscillator built on rank correlation between price and time rather than moving averages or crossovers. It scores how consistently price is ordered across multiple lookback windows and combines them into a single bounded reading on a -1 to +1 scale, holding the same meaning on any symbol or timeframe so traders can separate a broadly aligned trend from directionless noise and read when a move has stretched to saturation.
🟢 How It Works
The foundation is Spearman rank correlation between price and time, computed over each active window. Closes inside the window are ranked against one another, time forms its own rising sequence of ranks, and the difference between the two collapses to a single coefficient (rho):
float price_rank = less + (eq + 1.0) / 2.0
float time_rank = float(len - i)
float rho = 1.0 - 6.0 * sumd2 / denom
The coefficient reads +1 when each bar closes above the last in unbroken order, 0 when there is no consistent order, and -1 when each bar steps lower. Because it scores ordering rather than smoothing price into a line, it reflects the current window directly rather than trailing behind it, though it still needs a full window of bars to form. Ranking also limits the pull of any single outlier bar, and the bounded output is what lets one threshold hold across markets without rescaling.
A single window describes direction; the tool runs several and averages them into a consensus spanning fast, medium, and slow horizons:
consensus := array.avg(rhos)
Agreement is then measured as the share of windows leaning the same way as the consensus, and this conviction figure must clear a floor before a direction prints, working alongside the strength threshold:
conviction := 100.0 * agree / active
raw_bull = consensus > threshold and conviction >= min_conviction
raw_bear = consensus < -threshold and conviction >= min_conviction
A reading registers only when both clear at once: consensus past the threshold and windows aligned enough to meet the conviction floor. Fail either and the line stays flat. With Show Neutral on, those flat stretches reset to neutral; with it off, the line holds its last direction until the next qualifying move.
🟢 Signal Interpretation
▶ Bullish Consensus (Green): Consensus sits above the upper threshold with enough windows aligned, meaning recent bars are ordered upward across horizons. Trend traders read the turn into green as a possible long or continuation as the score presses toward +1. Mean-reversion traders treat a reading pinned near +1 as a stretched, broadly-agreed advance rather than a buy, and look to fade only once the line rolls back off the extreme, since the score can hold high through a sustained trend.
▶ Bearish Consensus (Red): Consensus sits below the lower threshold with conviction met, with bars ordered downward across horizons. Trend traders read the turn into red as a possible short or continuation as the score presses toward -1. Mean-reversion traders treat a reading pinned near -1 as a saturated decline where a bounce becomes more plausible, and look to fade on the turn back up rather than at the low itself.
▶ Neutral (Gray): With Show Neutral on, the line goes gray whenever no direction qualifies, either because consensus sits inside the threshold or conviction falls short. The zero line acts as the balance point and behaves like support or resistance for the reading itself: a score rejected at zero from above points to bullish order reasserting, a score capped at zero from below points to bearish order holding, and a clean break through leans toward a regime change. Reading this midline behavior against price is where market structure tools pair well, separating a base building above a structural level from a coil forming under overhead supply. Trend traders stand aside until the line commits; mean-reversion traders find less to work with here than at the edges.
▶ Reading the Extremes: The axis caps at +1 and -1, marking maximum agreement across every active window. Trend traders take an extreme as a sign a move is still in force; mean-reversion traders take it as a stretched zone and watch for the score to turn back toward zero as agreement breaks. An extreme that aligns with a known structural level gives a fade a cleaner reference than one in open space, and neither read holds on the extreme alone, since a strong trend can stay saturated before it cools.
🟢 Features
▶ Preconfigured Presets: Three setups map to different holding styles. "Default" suits swing work on 4-hour and daily charts, pairing a mid-range window spread of 8, 13, 21, and 34 with a 0.35 threshold and a 60% conviction floor, so a direction needs both strength and agreement before it flags. "Fast Response" pulls the windows in to 5, 8, 13, and 21 and eases the threshold and conviction floor so the reading keeps pace with quicker intraday swings. "Smooth Trend" stretches the windows out to 21, 34, 55, and 89 and raises both gates for daily and weekly position trading, where a premature flip costs more than a late one. Choosing a preset takes over the manual window, threshold, and conviction fields.
▶ Built-in Alerts: Four conditions track every change in state. "Bullish Trend Signal" triggers when the consensus confirms to the upside. "Bearish Trend Signal" triggers when it confirms to the downside. "Trend Lost / Neutral" triggers when an active direction fades back to flat, which is also the event a mean-reversion trader watches for after an extreme. "Any Trend Change" rolls the two directional events into a single notification for anyone who wants one alert covering both ways.
▶ Visual Customization: Six color schemes (Classic, Aqua, Cosmic, Cyber, Neon, and Custom) carry a matched pair of bullish and bearish colors through the consensus line, its tiered gradient fill down to the zero baseline, and the optional bar and background tints. Marker lines sit at the positive and negative trigger levels to show the zone the consensus has to cross, and each window's own score can be switched on as a faint backing line so you can see which horizons are driving or dragging the combined figure. Bar coloring paints the price candles in the active trend color at an adjustable transparency, while background coloring spreads that tint across the pane.
אינדיקטור
Dynamic Volatility Filter [QuantAlgo]🟢 Overview
Dynamic Volatility Filter is a trend-following indicator built on an adaptive volatility threshold rather than fixed bands or moving average crossovers. It quantifies the realized volatility of recent price movement to establish a dynamic noise floor that price must overcome before the line responds, anchoring a filtered trend line that only shifts when a directional move exceeds the prevailing volatility regime, helping traders separate statistically significant trend change from noise-driven fluctuation across every timeframe and market.
🟢 How It Works
The foundation of the indicator is a rolling volatility estimate derived from the Average True Range over a configurable lookback window, scaled by a noise multiplier to produce the threshold used in all line logic:
threshold = ta.atr(lookback) * noise_mult
This threshold functions as a deviation barrier the line will not cross until price movement breaches it. On each bar the filter measures the displacement between price and the current line position, and only when that displacement exceeds the volatility threshold does the line update:
float diff = src - dvf_line
if math.abs(diff) > threshold
dvf_line := dvf_line + diff * snap_speed
The line remains stationary through movement that falls within the volatility envelope and only commits once displacement clears the threshold. Rather than converging directly onto price, the line advances by a fraction of the residual distance governed by the catch-up coefficient, producing a damped response instead of an instantaneous one. Lower catch-up values introduce deliberate lag that requires a move to persist before the line follows, while higher values tighten the track to price.
Direction state is derived from the line's own first difference, comparing its current position against the prior bar:
if dvf_line > dvf_line
trend_dir := 1
else if dvf_line < dvf_line
trend_dir := -1
Because the line holds flat whenever displacement stays inside the threshold, those periods register no direction change. With Show Neutral enabled the state resets to neutral during these pauses, and with it disabled the line retains its last directional reading until the next threshold breach.
🟢 Signal Interpretation
▶ Bullish Trend (Green): When the filter line registers positive displacement against its prior position, the indicator enters bullish mode with green coloring applied across the line, gradient fill, and volatility bands. This state persists through pullbacks contained within the threshold, since direction only updates when the line moves. The transition into green marks a potential long/buy opportunity, with pullbacks toward the line during an established bullish reading offering potential continuation entries.
▶ Bearish Trend (Red): When the filter line registers negative displacement against its prior position, the indicator enters bearish mode with red coloring across all visual elements. The reading holds bearish until price clears the volatility threshold in the opposite direction. The transition into red marks a potential short/sell opportunity, with rallies back toward the line during an established bearish reading offering potential continuation entries on the downside.
▶ Neutral (Gray): When Show Neutral is enabled, the line and fills turn gray during flat stretches where price stays inside the threshold and the line holds still. This state signals an absence of confirmed direction and is best treated as a stand-aside condition, where waiting for the line to commit back to green or red avoids entering during indecisive, range-bound conditions.
🟢 Features
▶ Preconfigured Presets: Three parameter sets cover different trading approaches. "Default" targets swing trading on 4-hour and daily charts with a balanced threshold that filters moderate noise while staying responsive to genuine regime shifts. "Fast Response" lowers the volatility barrier and shortens the lookback for intraday charts where the line needs to adapt to shorter-duration moves. "Smooth Trend" raises the threshold and slows the catch-up for position trading on daily and weekly timeframes, where the cost of a false flip exceeds the cost of a delayed one. Selecting a preset overrides the individual noise, period, and catch-up inputs.
▶ Built-in Alerts: Three alert conditions cover all directional states. "Bullish Trend Signal" fires on the bar where the trend confirms bullish. "Bearish Trend Signal" fires on the bar where it confirms bearish. "Any Trend Change" combines both into a single condition for traders who want a unified notification regardless of direction.
▶ Visual Customization: Six color presets (Classic, Aqua, Cosmic, Cyber, Neon, and Custom) apply coordinated bullish and bearish color schemes across the line, gradient fill, volatility bands, and optional bar and background coloring. The volatility bands plot one threshold above and below the line to frame the deviation envelope price must breach, and can be hidden for a clean line-only view. Bar coloring tints price candles with the active trend color at a configurable transparency level, and background coloring extends the directional tint across the full chart pane. Both are disabled by default and controlled independently.
*Recommendation: Layer the Dynamic Volatility Filter with complementary analysis rather than treating it as a standalone decision tool. Combine direction changes with volume context, since expanding volume on a flip bar suggests the move has broader participation behind it, and read transitions against key structural levels, as a flip occurring near major support or resistance carries more weight than one in open space. Pairing this script with volume, open interest, CVD, market structure, and mean reversion indicators from our QuantAlgo toolkit can further validate directional bias before entry. אינדיקטור
Momentum Candle Sekolah TradingMomentum Candle Sekolah Trading
Overview
Momentum Candle is a technical indicator designed to detect strong momentum candles based on body size and wick ratio validation. It is built to help traders quickly identify whether a candle represents genuine bullish or bearish momentum, or merely noise — across multiple forex pairs and BTCUSD.
This indicator is an evolution of the previous Momentum Candle v3, with significant improvements including multi-pair support, EMA trend filter, consolidation validation, dual signal modes, and a time-based alert system.
How It Works
The indicator evaluates each candle using two core criteria:
Minimum Body Size — The candle body (|close − open|) must meet or exceed a user-defined minimum size (in pips), configured separately for each pair and each timeframe (M5, M15, M30).
Wick Ratio — The total wick length must not exceed a configurable percentage of the total candle range (body + wick). Default is 30%, meaning candles with excessive wicks are filtered out.
Signal Modes
Two signal modes are available via the "Mode Candle" input:
Agresif (Aggressive): A signal is generated when the body is large enough and the wick ratio is acceptable, regardless of wick direction. Suitable for traders who want more frequent signals.
Konservatif (Conservative): Adds an additional directional wick check — bullish signals require the lower wick to be smaller than the upper wick, and vice versa for bearish. This reduces noise and false signals.
Alert Modes
Two alert timing modes are available via the "Mode Alert" input:
Agresif: Alert fires immediately every bar when the signal condition is met.
Konservatif: Alert fires only in the 20–90 second window before candle close, reducing premature alerts caused by candles that may still change before closing.
Consolidation Validation (Optional)
When enabled, the indicator checks that the N previous candles (configurable, default 3) are each smaller in body size than the current signal candle. This helps confirm the signal appears after a period of lower volatility, adding context to the momentum reading.
EMA Trend Filter (Optional)
An EMA trend filter can be activated to restrict signals to the direction of the prevailing trend:
Bullish signals only appear when price is above the EMA.
Bearish signals only appear when price is below the EMA.
The EMA timeframe (M5, M15, M30, H1) and period are fully configurable. Recommended: M5=21, M15=50, M30=50, H1=100.
A live trend label (table, top-right) shows the current EMA trend direction.
Supported Pairs and Timeframes
Each pair can be enabled or disabled independently. Minimum body size is configurable per pair and per timeframe:
PairM5 DefaultM15 DefaultM30 DefaultXAUUSD35 pips45 pips55 pipsUSDJPY10 pips15 pips20 pipsGBPUSD10 pips15 pips20 pipsAUDUSD10 pips15 pips20 pipsUSDCAD10 pips15 pips20 pipsEURUSD10 pips15 pips20 pipsNZDUSD10 pips15 pips20 pipsUSDCHF10 pips15 pips20 pipsBTCUSD80 pips120 pips160 pips
Signals
🔵 Blue triangle (below bar): Bullish momentum signal
🔴 Red triangle (above bar): Bearish momentum signal
How to Use
Select your pair and enable it in the "Aktifkan Pair" section.
Adjust the minimum body size for your preferred timeframe.
Set the wick ratio threshold (default 30% is recommended as a starting point).
Choose between Aggressive or Conservative mode depending on your trading style.
Optionally enable the EMA filter for trend-confirmed signals only.
Optionally enable consolidation validation for breakout-style confirmation.
Set up alerts using the built-in alert conditions for both bullish and bearish, in either Aggressive or Conservative alert mode.
Important Notes
This indicator is a tool for technical analysis only. It does not guarantee trading results.
It is strongly recommended to combine this indicator with price action context, support/resistance levels, and proper risk management.
Past signal performance does not guarantee future results.
This script does not use security() with lookahead to access future data. The EMA from a higher timeframe uses barmerge.lookahead_off to prevent repainting.
This script does not use Heikin Ashi or non-standard chart types. It is designed for standard candlestick charts. אינדיקטור
Adaptive Volatility Envelope [QuantAlgo]🟢 Overview
The Adaptive Volatility Envelope wraps price in a dynamic field of volatility bands centred on a self-adjusting baseline. Rather than tracking price at a fixed speed, the centerline measures how efficiently price is moving and accelerates when movement is more directional while slowing down in choppy conditions, so the baseline follows sustained moves more closely and reacts less to sideways noise. Around this adaptive centerline, layered ATR-scaled bands form a heat map that brightens toward the side price is moving into, giving traders a visual read on both trend state and momentum strength across any instrument or timeframe.
🟢 How It Works
The indicator's core methodology combines two mechanisms: an efficiency-driven centerline that adapts its tracking speed to market conditions, and a volatility-scaled band field that visualises momentum through colour and brightness.
First, market efficiency is measured by comparing net directional movement against total movement over the adaptation window. This ratio approaches one when movement is more directional and falls toward zero in choppy conditions, and it is used to blend between a slow choppy speed and a fast trending speed. The result is a smoothing factor that automatically tightens the centerline's tracking in directional moves and loosens it in noise, without manual recalibration:
efficiencyRatio = totalMovement != 0 ? priceChange / totalMovement : 0.0
smoothingFactor = choppySpeed + (trendSpeed - choppySpeed) * efficiencyRatio
Next, the centerline advances toward price by the smoothing factor on each bar, producing an adaptive baseline that closes the gap quickly when efficiency is high and slowly when it is low:
centerline := na(centerline ) ? src : centerline + smoothingFactor * (src - centerline )
Band width is then derived from Average True Range scaled by the band spacing, with a safety cap that measures total envelope height against the recent fifty bar price range. If the raw width would exceed this cap, every band is scaled down proportionally, preventing the field from blowing out and distorting the chart scale during volatility spikes:
widthScale = rawWidth > maxWidth and rawWidth != 0 and maxWidth > 0 ? maxWidth / rawWidth : 1.0
bandUnit = atr * bandSpacing * widthScale
Momentum is resolved from the centerline's slope normalised by ATR and scaled by the colour sensitivity, then clamped to a range of minus one to one. This drives a gradient that runs from the neutral colour at flat momentum toward the bullish or bearish colour as the move strengthens, while a directional brightness offset lights up the leading side of the envelope more than the trailing side:
momentumRaw = not na(atr) and atr != 0 ? slope / atr * colorSens : 0.0
momentum = math.max(-1.0, math.min(1.0, momentumRaw))
Finally, a confirmed-bars toggle governs what the script computes. In Live mode the centerline, momentum, bands and signals update intrabar on the developing bar for the fastest response, with the current bar able to change until it closes. In Confirmed mode everything is locked to closed bars only, so signals do not repaint and print on the bar that closes the move.
🟢 Signal Interpretation
▶ Bullish Momentum (Centerline and Bands Brightening Toward the Bullish Colour): When the centerline slopes upward relative to volatility, momentum turns positive and the envelope gradient shifts toward the bullish colour. The leading upper side of the field brightens through the directional brightness offset, making the direction of the move easier to read. The bullish state persists as long as the centerline continues rising, and a "Momentum Turned Bullish" alert fires on the bar where momentum crosses above zero.
▶ Bearish Momentum (Centerline and Bands Brightening Toward the Bearish Colour): When the centerline slopes downward relative to volatility, momentum turns negative and the gradient shifts toward the bearish colour, with the leading lower side of the field brightening to flag the downturn. As with the bullish state, the colour saturates as the move strengthens and fades toward neutral as momentum flattens. A "Momentum Turned Bearish" alert fires on the bar where momentum crosses below zero, flagging a potential short or exit condition.
▶ Neutral Momentum (Centerline and Bands at the Neutral Colour): When the centerline is flat or moving slowly relative to volatility, momentum sits near zero and the gradient settles at the neutral colour at the middle of its range. This indicates low conviction or sideways drift rather than a directional move, and the envelope brightens away from neutral only as the slope steepens enough to register on either side. Reading the neutral state helps separate genuine momentum from chop, since the field stays muted until price generates a meaningful directional slope.
🟢 Features
▶ Preconfigured Presets: Three parameter sets cover a range of trading styles and timeframes. "Default" delivers a balanced engine for swing trading on 4-hour and daily charts. "Fast Response" shortens the adaptation window and quickens both market speeds for tighter, more reactive bands on 5-minute to 1-hour charts, suiting intraday and scalping use. "Smooth Trend" lengthens the adaptation window and slows the speeds for wider, steadier bands on daily and weekly charts, suiting position trading. The presets deliberately leave Volatility Length untouched, so band width stays under independent manual control.
▶ Built-in Alerts: Three alert conditions support automated monitoring of momentum transitions. "Momentum Turned Bullish" fires on the bar momentum crosses above zero. "Momentum Turned Bearish" fires on the bar momentum crosses below zero. "Any Momentum Change" triggers on either transition for traders who want a single unified alert regardless of direction. All alerts include the exchange, ticker, and timeframe in the message for immediate context, and the confirmed-bars toggle determines whether they evaluate on live or closed-bar data.
▶ Visual Customisation: Six colour presets, Classic, Aqua, Cosmic, Cyber, Neon, and Custom, provide coordinated bullish and bearish colour pairings suited to different chart themes and personal preferences. Selecting Custom exposes independent colour pickers for full manual control over both states, alongside an adjustable neutral colour for the midpoint of the gradient. The number of band layers is configurable from one for a clean minimal look up to eight for a rich gradient field, and the bands can be hidden entirely to display only the centerline. Optional bar colouring tints price candles with the active trend colour at a configurable transparency level, reflecting the current momentum state without reading the centerline directly.
אינדיקטור
Smart Money Concepts Order Blocks, Liquidity [LunqFX]Smart Money Concepts — Order Blocks & Liquidity
A professional-grade SMC indicator that answers the three
questions every trader needs before entering a trade:
① What is the current trend?
② Where is the key institutional zone?
③ Is price at that zone right now?
📋 HOW TO USE — STEP BY STEP
The indicator works as a 3-step confirmation system.
Do not enter a trade unless all 3 align.
STEP 1 — READ THE TREND (panel header)
Look at the panel in the top-right corner.
▲ BULLISH → only look for LONG setups
▼ BEARISH → only look for SHORT setups
If the gauge bar shows less than 40% or more than 60%
— the bias is strong. Between 40–60% = no clear edge,
reduce position size or wait.
STEP 2 — WAIT FOR STRUCTURE EVENT
• BOS appears → trend continuation confirmed.
The market broke a key level and is likely to continue.
Look for entries in the direction of the break.
• CHoCH appears → trend is reversing.
This is the earliest signal of a new trend forming.
Higher risk, higher reward — wait for Step 3 to confirm.
Rule: never trade against the last structure signal.
STEP 3 — WAIT FOR PRICE TO RETURN TO THE OB ZONE
After BOS or CHoCH fires, an Order Block zone is drawn
on the chart (blue = bullish, pink = bearish).
Wait for price to pull back INTO that zone.
When price enters the zone:
→ The zone border brightens (active glow effect)
→ The panel "Zone" row shows ▲ BULL OB or ▼ BEAR OB
→ Candle color changes to the zone color
This is your entry window.
✅ FULL SETUP EXAMPLE (LONG)
1. Panel shows ▲ BULLISH
2. CHoCH or BOS fires bullish — structure confirmed
3. Blue Order Block zone is drawn below current price
4. Price pulls back into the blue zone
5. Panel Zone row shows "▲ BULL OB"
6. Enter long — Stop Loss below the OB zone bottom
7. Target: next swing high or previous resistance
✅ FULL SETUP EXAMPLE (SHORT)
1. Panel shows ▼ BEARISH
2. BOS fires bearish — downtrend continuation
3. Pink Order Block zone is drawn above current price
4. Price pulls back up into the pink zone
5. Panel Zone row shows "▼ BEAR OB"
6. Enter short — Stop Loss above the OB zone top
7. Target: next swing low or previous support
⚠️ WHAT TO AVOID
✗ Don't enter on the BOS/CHoCH candle itself —
wait for the pullback to the OB zone
✗ Don't trade a swept (faded/dashed) zone —
it was already mitigated, its edge is gone
✗ Don't fight the trend — if panel says BEARISH,
don't look for longs no matter how good it looks
✗ High ATR (volatile) = widen your stop loss
or reduce position size accordingly
🔷 ORDER BLOCKS
Automatically detects bullish and bearish Order Blocks —
the last opposing candle before a Break of Structure.
Zones use a 2-band gradient (dense core + lighter outer)
to visualize institutional demand and supply areas.
• Active glow: border brightens when price enters the zone
• Swept zones: automatically fade to dashed when mitigated
• Age-based cleanup: old zones removed after set bar count
• Mitigation mode: choose Close or Wick for zone removal
📐 BREAK OF STRUCTURE (BOS) & CHANGE OF CHARACTER (CHoCH)
BOS confirms trend continuation. CHoCH signals a trend
reversal. Only the most recent signal is displayed —
CHoCH automatically clears stale BOS, and BOS clears
stale CHoCH. No visual clutter.
• BOS: dashed line at broken structure level
• CHoCH: solid line with arrow label at pivot bar
• No repaint: all signals fire on confirmed closed candles only
💧 LIQUIDITY — Equal Highs / Equal Lows
Detects EQH and EQL liquidity pools — price levels where
stop-losses cluster. Marks them with dotted lines so you
can anticipate smart money liquidity sweeps.
⚡ FAIR VALUE GAPS (FVG)
Identifies bullish and bearish imbalance zones (3-candle
gaps). Optional — hidden by default to keep the chart clean.
Enable in settings when imbalance confluences matter.
🎨 MOMENTUM GRADIENT CANDLES
Every candle is colored by momentum strength relative to
the last 30 bars. Weak candles = dark muted shade. Strong
impulse candles = vivid bright color. Structure events
(CHoCH/BOS) override with accent colors.
📊 LIVE DASHBOARD PANEL
Top-right panel shows at a glance:
• Trend bias (BULLISH / BEARISH) + visual gauge bar
• Last BOS and CHoCH direction and time
• Current zone status (price inside OB?)
• Active Order Block count per side
• Last confirmed Swing High and Swing Low prices
• ATR(14) with volatility label (LOW / NORMAL / HIGH)
• No Repaint confirmation
✅ NO REPAINT — CONFIRMED CLOSE ONLY
All pivot detections use ta.pivothigh() / ta.pivotlow()
with confirmed lookback. All BOS/CHoCH signals require
barstate.isconfirmed. What you see is what happened —
no repainting, no false signals on open candles.
⚙️ SETTINGS
Structure:
• Swing Length (3–30 bars)
• Max BOS / CHoCH lines shown
• BOS line length
• Show/hide swing pivot markers
Order Blocks:
• Max OBs per side
• Max age in bars
• Swept zone display + age
• Mitigation mode: Close or Wick
Display:
• Momentum candle coloring on/off
• Dashboard panel on/off
• Fair Value Gaps on/off
• Equal H/L liquidity on/off
Works on all instruments and timeframes.
Best used on: Forex, Gold (XAUUSD), Indices, Crypto.
Recommended timeframes: 15m, 30m, 1H, 4H, 1D.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ אינדיקטור
MLP - BTC Breakout Probability [Deep Learning] [Open Source]I trained a single Multilayer Perceptron on 13 years of Bitcoin price history and open-sourced the result. Not because it's perfect, but because the idea is worth sharing.
The concept is simple.
Most breakout strategies are rule-based. Fixed levels, static conditions. This one is different, instead of predicting direction, the model learned the distribution of Bitcoin's daily price moves. You pick a threshold, it gives you the probability. Same model, any level.
How to use it
Pick a percentage threshold , by doing that you're asking the model to evaluate. When price breaks that level and the model is showing meaningful confidence, a label is shown on the chart.. Daily only. BTC only.
Under the hood
A lightweight Multilayer Perceptron (MLP) trained on ~4,700 daily candles of raw OHLC data from May 2009 to May 2022 . The architecture is two hidden layers (16→8), ReLU activations throughout, and a sigmoid output that squashes the result into a clean 0–1 probability score. ReLU keeps the internal representations sparse and non-linear, sigmoid makes the output as a probability.
What makes this interesting is that the model didn't just learn a raw number, it learned the underlying distribution of Bitcoin's daily price moves. That's what allows a single model to answer probability questions across different thresholds rather than being hardcoded to one fixed level.
The output isn't a prediction, it's a calibrated belief about where price is likely to go, derived from 13 years of market structure.
Honest limitations
Fat tails eat this model alive. The features are correlated and the model has no concept of liquidity. It underestimates the extremes.
Daily timeframe only. Bitcoin only. Long only.
This was built as a personal project, mostly for fun and to serve as a working example of how ML concepts can be applied to market data.
Disclaimer
This indicator is provided for educational and informational purposes only. It does not constitute financial advice, trading recommendations, or a guarantee of future results. Past performance does not predict future returns. You alone are responsible for your trading decisions. Always test thoroughly in a simulated environment before trading with real capital. אינדיקטור
Fractal Exhaustion Band [QuantAlgo]🟢 Overview
The Fractal Exhaustion Band is a trend-following indicator that replaces the fixed ATR multiplier common to most adaptive bands with the Fractal Dimension Index, scaling the buffer width in real time based on how efficiently price is consuming its recent range. Additionally, an extremum tracker accumulates swing highs and lows since the last confirmed flip to form an outer Band Edge, giving traders a structured range to position within the trend, identify exhaustion near its boundaries, and treat extensions beyond the edge as potential deviation signals ahead of a directional flip across any instrument or timeframe.
🟢 How It Works
The core methodology is built around three sequential stages: a fractal dimension calculation that quantifies the structural quality of recent price movement, a dynamic buffer derived from that measurement, and a ratcheting trend line that advances only when market conditions justify it.
First, the Fractal Dimension Index (FDI) is calculated by comparing the total path length price has travelled over the lookback window against the straight-line distance between its highest and lowest point. A value near 1 indicates clean, efficient trending. A value near 2 indicates erratic, space-filling movement. The ratio is log-normalised by the window size to keep it comparable across different FDI Period settings:
fdi = high_ - low_ > 0 ? (math.log(len) - math.log(high_ - low_)) / math.log(power) : 0
Next, the FDI is fed directly into the buffer calculation as a scaling factor on top of the Band Width Multiplier and a 10-period ATR. This means the buffer is never fixed; it inflates when price behaviour is erratic and compresses when price is trending with conviction:
dynamic_mult = sensitivity * (1 + fdi)
buffer = atr * dynamic_mult
The trend line then ratchets in the direction of the current trend, but only on bars where the FDI is below 1.5. This gate prevents the line from being dragged by price during high-fractal-dimension conditions, even if price has not yet breached the buffer threshold. A trend flip is only registered when price closes beyond the buffer on the opposite side:
if fdi < 1.5
trend_line := math.max(trend_line, close - buffer)
Finally, an extremum tracker accumulates the running high or low since the last confirmed flip, forming the outer Band Edge. A midline is derived as the average between this extremum and the trend line, creating a three-layer structure that encodes both the structural anchor of recent price extremes and the adaptive trend line beneath it:
ex := trend_dir != trend_dir ? (trend_dir == 1 ? high : low)
: trend_dir == 1 ? math.max(nz(ex , high), high)
: math.min(nz(ex , low), low)
mid = math.avg(ex, trend_line)
🟢 Signal Interpretation
▶ Bullish Trend (Band Rising with Bullish Colour): When price moves upward with sufficient efficiency to produce a low FDI reading and close above the trend line's buffer threshold, the trend direction flips to bullish and the entire band shifts to the bullish colour. From that point, the Fractal Line ratchets upward on each bar where the FDI remains below 1.5, while the extremum tracker accumulates successive highs to form the outer Band Edge above. The flat segments visible in the band reflect bars where the FDI gate suppressed movement, while upward steps reflect bars where trending conditions were confirmed.
Within the bullish band, the Fractal Line and Band Edge define a structured trading range. Price oscillating between the two represents normal trend continuation behaviour, and pullbacks toward the Fractal Line can be treated as higher-probability long entries with the trend, using the Fractal Line itself as the logical invalidation level. The Band Mid serves as a directional gauge within that range; price holding above it reflects stronger momentum, while price drifting below it signals weakening conviction worth monitoring. When price pushes into the Band Edge zone and begins interacting with the accumulated swing highs, treat that as an exhaustion area rather than a continuation signal. Longs initiated near the Band Edge carry elevated risk of a short-term mean reversion back toward the Fractal Line. If price then extends meaningfully beyond the Band Edge, treat the extension as a deviation from the established structure. A deviation of this kind, particularly when accompanied by a rising FDI indicating deteriorating trend quality, is a preparatory signal to begin tightening long exposure and watching for the Fractal Line to be breached on the downside, which would confirm the bias flip to bearish.
▶ Bearish Trend (Band Declining with Bearish Colour): When price moves downward with sufficient efficiency to produce a low FDI reading and close below the trend line's buffer threshold, the trend direction flips to bearish and the band shifts to the bearish colour. The Fractal Line ratchets lower on each bar where the FDI gate permits, while the extremum tracker accumulates successive lows to form the outer Band Edge below. As with the bullish state, the filter holds its last value on bars where fractal dimension is elevated, and the direction state remains unchanged on those bars.
Within the bearish band, the same structural logic applies in reverse. Price oscillating between the Fractal Line above and the Band Edge below represents normal bearish continuation, and bounces toward the Fractal Line can be treated as higher-probability short entries with the trend, using the Fractal Line as the invalidation level. The Band Mid again acts as a momentum gauge; price holding below it indicates sustained selling pressure, while recovery above it suggests the downtrend is losing conviction. When price pushes into the Band Edge zone and interacts with the accumulated swing lows, treat that region as exhaustion rather than confirmation of further downside. Shorts initiated near the Band Edge carry elevated mean-reversion risk back toward the Fractal Line. If price extends beyond the Band Edge to the downside, treat that extension as a structural deviation. A deviation paired with a rising FDI is a signal to begin reducing short exposure and watching for an upward breach of the Fractal Line, which would confirm the directional flip back to bullish.
🟢 Features
▶ Preconfigured Presets: Three parameter sets cover a range of trading styles and timeframes. "Default" delivers balanced noise filtering suited to swing trading on 4-hour and daily charts. "Fast Response" tightens the buffer and shortens the fractal measurement window for intraday and scalping use on 1-minute to 1-hour charts, producing earlier trend flips in response to smaller directional moves. "Smooth Trend" widens the buffer and extends the measurement window for position trading on daily and weekly charts, requiring a more sustained and efficient directional move before a trend flip is registered.
▶ Built-in Alerts: Three alert conditions support automated monitoring of trend transitions. Bullish Trend fires on the first bar where trend direction flips from bearish to bullish. Bearish Trend fires on the first bar where trend direction flips from bullish to bearish. Any Signal Change triggers on either transition for traders who want a single unified alert regardless of direction. All alerts include the exchange, ticker, and timeframe in the message for immediate context.
▶ Visual Customisation: Six colour presets (Classic, Aqua, Cosmic, Cyber, Neon, and Custom) provide coordinated bullish and bearish colour pairings suited to different chart themes and personal preferences. Selecting Custom exposes independent colour pickers for full manual control over both states. The three-layer band fill uses graduated transparency across the outer edge, midline, and trend line zones to clearly distinguish structural from adaptive components at a glance. Optional bar colouring tints price candles with the active trend colour using a configurable transparency level, and optional background colouring extends the trend state tint across the full chart pane at a separately configurable transparency.
אינדיקטור
אינדיקטור
Asymmetric Volatility Trend Line [QuantAlgo]🟢 Overview
Asymmetric Volatility Trend Line is a trend-following indicator built on adaptive standard deviation thresholds rather than fixed bands or moving average crossovers. It quantifies the statistical volatility of recent price movement to determine asymmetric conditions for trend continuation versus trend reversal, then uses those conditions to anchor a dynamic trend line that adjusts position in response to confirmed directional moves, helping traders distinguish between genuine breakouts and noise-driven fluctuations across every timeframe and market.
🟢 How It Works
The foundation of the indicator is a rolling standard deviation applied to the selected price source over a configurable lookback window, scaled by a threshold multiplier to produce the volatility boundary used in all trend logic:
vol_threshold = ta.stdev(src, lookback) * threshold_mult
This threshold is intentionally asymmetric in application. When the trend line is in a bullish state, a smaller fraction of the threshold (0.5x) is required for price to confirm continuation, while a full threshold breach in the opposite direction is needed to trigger a reversal. The same asymmetry applies in reverse during bearish states:
if trend_dir >= 0
if src > trend_line + vol_threshold * 0.5
trend_line := math.max(trend_line, src - vol_threshold * 0.25)
trend_dir := 1
else if src < trend_line - vol_threshold
trend_line := src + vol_threshold * 0.25
trend_dir := -1
This design means continuation requires less evidence than reversal. A directional move only needs to exceed half the volatility threshold to sustain the current trend, but must overcome the full threshold to flip it. The 0.25x offset applied when repositioning the trend line keeps it anchored within the volatility envelope rather than jumping directly to price, producing a smoother line that does not overreact to a single bar.
When a reversal is confirmed, the trend line is placed on the opposite side of price at a quarter-threshold distance, giving it room to develop without immediately triggering another flip:
trend_line := src + vol_threshold * 0.25 // repositioned on bearish flip
trend_dir := -1
Direction state is tracked through two integer variables, with reversal conditions derived from comparing the current and prior bar states:
turned_bullish = trend_dir == 1 and trend_dir == -1
turned_bearish = trend_dir == -1 and trend_dir == 1
is_reversal = trend_dir != prev_dir and bar_index > 0
🟢 Signal Interpretation
▶ Bullish Trend (Green): When price closes above the trend line by more than half the volatility threshold, the indicator enters bullish mode with green colouring applied across the trend line, gradient fill, and reversal marker (⦿). This state persists until price closes below the trend line by the full volatility threshold, allowing normal pullbacks to occur without triggering a direction change.
▶ Bearish Trend (Red): When price closes below the trend line by more than half the volatility threshold, the indicator enters bearish mode with red colouring across all visual elements. A full threshold breach to the upside is required to exit this bearish state.
🟢 Features
▶ Preconfigured Presets: Three parameter sets cover different trading approaches. "Default" targets swing trading on 4-hour and daily charts with moderate threshold sensitivity. "Fast Response" reduces the volatility barrier and shortens the lookback for intraday charts where the indicator needs to adapt to shorter-duration moves. "Smooth Trend" raises the reversal threshold substantially for position trading on daily and weekly timeframes, where the cost of a false flip is higher than the cost of a delayed one. Selecting a preset overrides the individual multiplier and lookback inputs.
▶ Built-in Alerts: Three alert conditions cover all directional states. "Bullish Trend Signal" fires on the bar where the trend direction flips from bearish to bullish. "Bearish Trend Signal" fires on the bar where it flips from bullish to bearish. "Any Trend Change" combines both into a single condition for traders who want a unified notification regardless of direction.
▶ Visual Customisation: Six colour presets (Classic, Aqua, Cosmic, Cyber, Neon, and Custom) apply coordinated bullish and bearish colour schemes across the trend line, gradient fill, reversal markers, and optional bar and background colouring. Bar colouring tints price candles with the active trend colour at a configurable transparency level, and background colouring extends the directional tint across the full chart pane. Both are disabled by default and controlled independently.
אינדיקטור
Adaptive Friction Filter (AFF) [QuantAlgo]🟢 Overview
The Adaptive Friction Filter (AFF) identifies trending market conditions by applying a physics-inspired friction model to price movement. Rather than smoothing price through fixed averaging, it introduces a dynamic noise threshold derived from recent market volatility, which means price must generate enough force to overcome this threshold before the filter moves at all. Once breached, the filter closes the gap at a configurable rate, producing a step-like trend line that holds steady through noise and responds decisively to genuine directional moves. This allows traders to distinguish between meaningful trend continuation and low-conviction chop across any instrument or timeframe.
🟢 How It Works
The AFF's core methodology is built around a two-stage mechanism: a volatility-derived friction threshold that gates filter movement, and a catch-up scalar that governs how much of the gap the filter closes on each bar once that threshold is exceeded.
First, the friction threshold is computed as the simple moving average of absolute bar-to-bar price changes over the configured lookback window, scaled by the friction coefficient. This makes the threshold inherently self-adjusting; it widens during volatile conditions and contracts during quiet ones, without requiring any manual recalibration:
friction = ta.sma(math.abs(src - src ), lookback) * friction_mult
Next, the raw displacement between current price and the filter's last position is evaluated as force. The filter only advances if this force exceeds the friction threshold. When it does, the filter moves toward price by a fraction of the gap governed by the catch-up scalar, rather than closing the full distance immediately, producing a controlled and progressive response:
force = src - aff_line
aff_line := math.abs(force) > friction ? aff_line + force * catchup_scalar : aff_line
Trend direction is then resolved by comparing the current filter value to its prior bar value. The direction state persists when the filter is flat, so no transition is registered on bars where the filter does not move:
trend_dir := aff_line > aff_line ? 1 : aff_line < aff_line ? -1 : trend_dir
Finally, the filter is rendered as two overlapping plots at the same value: a step-line that traces the filter's path and a circle overlay positioned at each bar's filter value. The circles serve a visual purpose, reinforcing the current filter level at each step and making it easier to read the filter's position at a glance, particularly during flat periods where the step-line alone can be harder to track. Together they produce a dotted step appearance that improves legibility across different chart zoom levels and timeframes.
🟢 Signal Interpretation
▶ Bullish Trend (AFF Line Rising with Bullish Colour): When price generates enough upward force to exceed the friction threshold, the filter begins stepping higher and the line shifts to the bullish colour. The step-line rendering makes the transition visually clear; flat segments indicate bars where force was insufficient to move the filter, while upward steps reflect bars where it was. The bullish trend state persists until force in the downward direction is large enough to push the filter lower, at which point trend direction flips and the line shifts to the bearish colour.
▶ Bearish Trend (AFF Line Declining with Bearish Colour): When price generates enough downward force to exceed the friction threshold, the filter begins stepping lower and shifts to the bearish colour. As with the bullish state, the filter holds its last value on bars where force is insufficient to breach the threshold, and the direction state remains unchanged on those bars. A full reversal back to bullish requires upward force to exceed the friction threshold and push the filter higher, at which point trend direction flips and the colour transitions accordingly.
🟢 Features
▶ Preconfigured Presets: Three parameter sets cover a range of trading styles and timeframes. "Default" delivers balanced noise filtering for swing trading on 4-hour and daily charts. "Fast Response" lowers the friction threshold and accelerates the catch-up rate for intraday and scalping use on 5-minute to 1-hour charts, producing earlier filter movement in response to smaller price displacements. "Smooth Trend" raises the threshold and slows the catch-up rate for position trading on daily and weekly charts, requiring larger price displacements relative to the average noise level before the filter advances.
▶ Built-in Alerts: Three alert conditions support automated monitoring of trend transitions. "Bullish Trend Signal" fires on the first bar trend direction flips from bearish to bullish. "Bearish Trend Signal" fires on the first bar trend direction flips from bullish to bearish. "Any Trend Change" triggers on either transition for traders who want a single unified alert regardless of direction. All alerts include the exchange, ticker, and timeframe in the message for immediate context.
▶ Visual Customisation: Six colour presets, Classic, Aqua, Cosmic, Cyber, Neon, and Custom, provide coordinated bullish and bearish colour pairings suited to different chart themes and personal preferences. Selecting Custom exposes independent colour pickers for full manual control over both states. Optional bar colouring tints price candles with the active trend colour using a configurable transparency level, and optional background colouring extends the trend state tint across the full chart pane at a separately configurable transparency.
אינדיקטור
אינדיקטור
אסטרטגייה
Hyperbolic Hull Moving Average (HHMA) [QuantAlgo]🟢 Overview
Hyperbolic Hull Moving Average is a trend-following indicator that replaces the linear weighting kernel inside a Hull Moving Average with a hyperbolic sine function, producing a moving average that concentrates weight on recent bars in a non-linear, exponentially accelerating curve rather than a straight ramp. Where a standard WMA assigns weight proportionally across the lookback, the sinh kernel creates a steep recency gradient that responds meaningfully to genuine momentum shifts while remaining more resistant to brief noise spikes, because distant bars lose influence at a compounding rate rather than a constant one. The result is a Hull-style construction with faster directional detection and smoother curvature than its conventional counterpart.
🟢 How It Works
The indicator is built across three passes of the same sinh weighting function. The core kernel computes a weighted average where each bar's weight is determined by the hyperbolic sine of its normalized position within the lookback, scaled by a tension parameter:
float _x = (_len - i) / _len * _t
float _w = (math.exp(_x) - math.exp(-_x)) / 2
Higher tension values push more of the total weight toward the most recent bars. At the default tension of 2.0 across a 24-period window, the most recent bar carries roughly 44 times the weight of the oldest bar. A standard WMA across the same window would assign the newest bar only 24 times the weight of the oldest, so the sinh kernel naturally produces a steeper bias toward recent price action at any equivalent length setting.
The Hull construction then runs two sinh-weighted averages at different periods, a fast pass at half the length and a slow pass at the full length, before combining them in the same denoising formula Alan Hull originally described:
fastSinh = f_sinh_weight(src, halfLen, tension)
slowSinh = f_sinh_weight(src, length, tension)
rawHull = 2 * fastSinh - slowSinh
hhma = f_sinh_weight(rawHull, sqrtLen, tension)
The raw Hull output is then passed through a final sinh-weighted smoothing pass at the square root of the full length, which removes the lagging noise the doubling step introduces.
Trend direction is determined by a simple slope check on the final output. This keeps state detection clean and unambiguous, with direction changes triggering alerts and visual updates the bar they occur.
🟢 Signal Interpretation
▶ Bullish Trend (Rising HHMA, Green): When the HHMA turns upward, all visual elements switch to the bullish colour, indicating a confirmed uptrend. Because the sinh kernel front-loads weight on recent bars, the line responds quickly to genuine upside momentum without needing price to sustain a move for many bars before registering a directional shift. Trend state remains bullish on each subsequent bar the HHMA continues to rise, allowing traders to hold positions through normal intra-trend oscillation without being shaken out by minor hesitations in the line.
▶ Bearish Trend (Falling HHMA, Red): When the HHMA turns downward, all visual elements switch to the bearish colour, confirming a downtrend or a breakdown from a prior uptrend. The same recency weighting that accelerates bullish detection also means the line will respond relatively quickly to sustained selling pressure, reducing the lag that causes conventional Hull variants to stay bullish well into a reversal. The trend remains bearish on each bar the HHMA continues to fall.
🟢 Features
▶ Preconfigured Presets: Three optimised parameter sets cover different trading approaches. "Default" is calibrated for swing trading on 4-hour and daily charts, balancing responsiveness with noise rejection. "Fast Response" shortens the lookback and increases recency bias for intraday and scalping use on 5-minute to 1-hour charts. "Smooth Trend" extends the period and flattens the weighting curve for position trading on daily and weekly charts where fewer, higher-conviction direction changes are preferred.
▶ Built-in Alerts: Three alert conditions support automated monitoring without requiring constant chart supervision. "Bullish Trend Signal" fires on the bar the HHMA slope turns upward. "Bearish Trend Signal" fires on the bar it turns downward. "Trend Direction Changed" covers both transitions with a single alert for traders who want a unified notification regardless of direction.
▶ Visual Customization: Six colour presets (Classic, Aqua, Cosmic, Cyber, Neon, and Custom) provide coordinated bullish and bearish colour pairs suited to different chart themes and backgrounds. Optional bar colouring tints price bars with the active trend colour at an adjustable transparency level, offering immediate visual confirmation of trend state across all open chart timeframes without requiring the indicator line itself to be in view.
אינדיקטור
Liquidity Sweep Detector [QuantAlgo]🟢 Overview
The Liquidity Sweep Detector is a swing-based liquidity tracking tool that identifies moments when price wicks beyond a confirmed swing high or low and closes back inside, then tracks the remaining unswept levels as forward-projecting lines and zones on your chart. It classifies each event by direction (Bullish or Bearish) and maintains a running registry of swing levels that have not yet been visited by price, giving you a live map of where resting stop clusters may still be sitting across any timeframe and market.
🟢 How It Works
The indicator identifies swing highs and lows using a pivot detection window that requires a configurable number of bars to the left and right to confirm a valid structural point. The active pivot length and minimum wick penetration are resolved from the selected preset before any detection runs:
active_len = preset_config == 'Scalp' ? 5 : preset_config == 'Swing' ? 20 : pivot_len
active_min_pct = preset_config == 'Scalp' ? 0.0 : preset_config == 'Swing' ? 0.05 : min_wick_pct
A bearish sweep is confirmed when price wicks above the most recent swing high by at least the minimum penetration percentage and closes back below it. A bullish sweep mirrors this on the downside:
bearSweep = not na(lastSwingHigh) and high > lastSwingHigh * (1 + active_min_pct / 100) and close < lastSwingHigh
bullSweep = not na(lastSwingLow) and low < lastSwingLow * (1 - active_min_pct / 100) and close > lastSwingLow
Every confirmed swing point is simultaneously stored in an unswept level registry. Levels are removed when the full candle closes beyond them, or immediately when a sweep is confirmed on that level, so the chart only shows levels price has not yet visited:
if bearSweep and array.size(unsweptHighs) > 0
for i = array.size(unsweptHighs) - 1 to 0
if array.get(unsweptHighs, i) == lastSwingHigh
array.remove(unsweptHighs, i)
array.remove(unsweptHighBars, i)
break
The indicator also detects when price enters the zone around an unswept level without yet confirming a full sweep. Edge detection ensures the alert fires once on entry rather than on every bar price remains inside the zone:
buySideEntry = enteredBuySide and not enteredBuySide
sellSideEntry = enteredSellSide and not enteredSellSide
🟢 Key Features
▶ Three Preset Configurations: The indicator includes three presets that override the manual pivot length and minimum wick penetration settings.
1. Default/Custom: A general-purpose configuration suited to swing trading on 4H and daily charts. Confirms swing points that require a reasonable structural context before a sweep is flagged.
2. Scalp: A faster configuration for intraday charts from 1 minute to 15 minutes. Shorter pivot windows capture local swing points that form and get swept within a single session.
3. Swing: A more conservative configuration for daily and weekly charts that requires a more deliberate wick extension before confirming a sweep, filtering out shallow tags at swing levels.
▶ Built-in Alert System: Pre-configured alert conditions cover bearish sweeps, bullish sweeps, any sweep, price entering a buy-side zone, price entering a sell-side zone, and price entering any unswept zone.
▶ Visual Customisation: Choose from five colour presets (Classic, Aqua, Cosmic, Cyber, Neon) or set your own custom colours. Optional candle background highlighting marks sweep bars directly on the chart, and label text size is configurable across four options to suit different chart layouts.
🟢 Important Considerations
▶ Sweep detection references only the most recently confirmed swing high or low at the time each bar closes. On lower timeframes with frequent swing formation, raising the pivot length focuses detection on more structurally significant levels and reduces signal frequency on choppy charts.
▶ The indicator works best as a contextual layer within an existing trading framework. Sweep signals indicate that price has moved beyond a swing level and closed back inside, which is a useful data point, but should be read alongside your system and market context rather than used as a standalone trigger. אינדיקטור
אינדיקטור
BTC Power Law Regime SuiteShort Description, TLDR
BTC Power Law Regime Suite models Bitcoin’s long-term growth as a power law anchored to major bear market lows, then classifies price action into three macro regimes: Expansion, Distribution, and Blow-off. It is designed to show when BTC is behaving normally relative to its long-term adoption curve, when momentum is strengthening, and when price is becoming dangerously extended.
Long Descript
BTC Power Law Regime Suite is a macro Bitcoin indicator built around a simple idea:
Bitcoin does not move in a straight line. Over long periods, it appears to grow along a curved adoption path, while shorter-term price action oscillates above and below that path in cycles of fear, expansion, euphoria, and exhaustion.
This script models that long-term path as a power law curve, then measures how far price has moved away from it and whether that move is still accelerating or beginning to fade.
Core idea
The script uses a two-anchor power law model based on major BTC bear market lows. Instead of forcing arbitrary coefficients, the curve is derived from two historical anchor points. This creates a more practical “gravity line” that represents Bitcoin’s long-run structural trend.
From there, the indicator evaluates three things:
1. Distance from the power law
This tells us how stretched price is relative to the long-term curve.
2. Relative slope
This measures whether BTC is gaining or losing momentum relative to that curve.
3. Relative acceleration
This helps distinguish normal trend expansion from truly parabolic behavior.
By combining those three factors, the script identifies the market’s current macro regime.
Regimes
Expansion
BTC is above its structural trend and momentum is still improving. This is the healthy bullish phase where price is rising faster than the baseline without yet showing obvious exhaustion.
Distribution
BTC remains elevated relative to the power law, but momentum and acceleration are fading. This is the “high but weakening” condition often seen near slow or choppy tops.
Blow-off
BTC is far above the long-term curve and has recently experienced strong acceleration. This is the classic mania or parabolic exhaustion phase.
Visual design
The script is intentionally minimal:
A power law baseline shows the long-term BTC path.
Optional outer orbit bands provide a macro envelope around that path.
A background regime overlay highlights Expansion, Distribution, and Blow-off conditions.
Small markers can optionally mark the beginning of new regime transitions.
A compact status label summarizes current state without cluttering the chart.
The goal is not to create a noisy signal generator, but a clean macro framework for reading Bitcoin’s cycle structure.
How to use it
This indicator works best on:
BTCUSD / BTCUSDT
Weekly timeframe
Log scale enabled
It is designed for macro cycle analysis, not short-term trading entries.
A common way to interpret it:
Near or below the power law: BTC is closer to long-term value or compression
Expansion regime: bullish momentum is building above the baseline
Distribution regime: price remains elevated, but internal strength is deteriorating
Blow-off regime: risk of euphoric exhaustion is rising
Important notes
This script is heuristic, not predictive. It does not forecast tops or bottoms with certainty, and it should not be treated as a standalone trading system.
Its purpose is to provide a structured way to think about:
Bitcoin’s long-term growth path
cyclical overextension
the difference between healthy expansion and late-stage exhaustion
The model is especially useful because it separates being high from still accelerating. That distinction matters. Not every top is a blow-off, and not every overextended market is still in active mania.
Why this script exists
Most Bitcoin models focus on only one dimension:
valuation relative to trend
or momentum
or cycle bands
or parabolic blow-offs
This script tries to combine those into one clean framework:
Power law = structural gravity
Distance = over/underextension
Acceleration = cycle intensity
Regime = market state
That makes it useful for identifying whether BTC is:
trending normally
expanding aggressively
distributing at elevated levels
or entering true blow-off behavior אינדיקטור
Volume Bubbles [QuantAlgo]🟢 Overview
The Volume Bubbles indicator is a multi-layered volume cluster detection system that identifies statistically significant volume events directly on your price chart, classifying them by magnitude (Small, Medium, Big) and direction (Buy, Sell, Mixed). By combining adaptive percentile thresholds across multiple lookback windows with optional volume delta analysis, this indicator highlights moments of elevated trading activity that often signal institutional participation, trend acceleration, or potential reversals across every timeframe and market.
🟢 How It Works
The indicator begins by establishing a lower timeframe for volume delta calculation. When auto-select is enabled, it picks a granular timeframe based on your chart period, using 1-second bars for sub-minute charts, 1-minute bars for intraday charts, 5-minute bars for daily charts, and 60-minute bars for higher timeframes. This allows the indicator to estimate net buying and selling pressure within each chart bar:
= taLib.requestVolumeDelta(lowerTimeframe)
float netDelta = nz(lastDelta)
float absDelta = math.abs(netDelta)
The core detection engine then calculates percentile thresholds for both volume and absolute delta across three independent lookback windows (Short, Medium, Long). Each window computes its own threshold for each cluster tier using linear interpolation:
float vSmallShort = ta.percentile_linear_interpolation(volume, shortLen, smallPct)
float vSmallMid = ta.percentile_linear_interpolation(volume, midLen, smallPct)
float vSmallLong = ta.percentile_linear_interpolation(volume, longLen, smallPct)
This means a bar's volume is not compared against a single average but ranked against the full distribution of recent volume history from multiple perspectives. A Small cluster must exceed the 75th percentile (top 25%), a Medium cluster the 90th percentile (top 10%), and a Big cluster the 97th percentile (top 3%) by default.
To filter noise, a consensus system requires agreement across the lookback windows before confirming a cluster:
f_consensus(bool pS, bool pM, bool pL, string mode) =>
int hits = (pS ? 1 : 0) + (pM ? 1 : 0) + (pL ? 1 : 0)
switch mode
"Any Window" => hits >= 1
"Majority (2 of 3)" => hits >= 2
"All Windows (strictest)" => hits >= 3
In Majority mode, for example, at least two of the three windows must agree that volume exceeds the threshold before a cluster is plotted. This prevents false signals from temporary spikes that look significant in one context but not another.
Once a cluster is confirmed, it is classified as Buy, Sell, or Mixed based on the selected method. Candle Direction uses the bar's open/close relationship, Delta Direction uses the sign of net volume delta, and Both requires agreement between the two, labeling any conflict as Mixed.
🟢 Key Features
▶ The indicator offers four detection methods, each designed to balance sensitivity and precision depending on data availability and trading style.
1. Volume Only: Uses raw bar volume as the sole input for cluster detection. This is the simplest and most universal mode, working on any symbol that provides volume data. It identifies all statistically elevated volume events regardless of whether buying or selling dominated, making it useful for spotting general activity surges around key levels, news events, or session opens.
2. Delta Only: Uses the absolute value of net volume delta instead of total volume. This mode triggers only when directional pressure (not just raw activity) is statistically elevated. It filters out high-volume bars where buying and selling were roughly balanced, focusing instead on bars where one side clearly dominated. Requires lower timeframe data availability.
3. Volume + Delta: Both volume and delta must independently exceed their respective percentile thresholds. This is the strictest detection mode. A cluster only appears when there is both unusually high total activity and unusually strong directional flow, filtering out ambiguous bars where volume was high but evenly split between buyers and sellers.
4. Volume OR Delta: Either elevated volume or elevated directional delta triggers a cluster. This is the most inclusive mode, capturing both pure volume events (such as index rebalancing or option expiration activity) and strong directional surges that may occur on relatively normal total volume. Best suited for traders who prefer broader coverage and are comfortable filtering signals with additional context.
▶ Detailed Tooltip Overlay: Hovering over any bubble reveals a comprehensive diagnostic panel summarizing the full context behind that cluster. The tooltip displays the cluster tier and direction label (e.g., BIG BUY or MEDIUM SELL), the formatted volume value, net delta value (or "n/a" if delta data is unavailable), the volume-to-average ratio expressed as a multiple, the active detection method (with a fallback note if delta was unavailable and the method defaulted to Volume Only), the individual window confirmations for both volume and delta shown as a compact S M L grid indicating which of the short, medium, and long lookback windows passed their threshold, and the classification mode used to determine the buy/sell label. This gives full transparency into exactly why each cluster was detected and how it was classified, without cluttering the chart itself.
▶ Built-in Alert System: Pre-configured alert conditions for Big clusters, Medium-or-larger clusters, and any cluster detection, allowing you to receive notifications for the volume events that matter most to your strategy.
▶ Visual Customization: Choose from 5 color presets (Classic, Aqua, Cosmic, Cyber, Neon) or define your own custom color scheme. Optional in-bubble text displays volume, delta, ratio, or combinations, while the tooltip diagnostic panel remains accessible on hover regardless of whether bubble labels are enabled or disabled.
🟢 Important Notes
1. This indicator requires volume data to function. Make sure you are using a ticker from an exchange that provides volume data. Symbols that do not report volume (such as certain forex pairs on specific brokers or custom-built indices) will trigger a warning message on the chart and produce no signals. If you see the "No Volume Data" warning, switch to a symbol or exchange that supports volume reporting.
2. Whether you are scalping on lower timeframes or swing trading on daily and weekly charts, Volume Bubbles is designed to complement your existing setup rather than replace it. Use it as a confirmation layer alongside your preferred strategy to identify when statistically significant volume activity aligns with your trade thesis, adding a data-driven edge to entries, exits, and key level analysis across any timeframe and market. אינדיקטור
