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 指标
Moving Averages TrendFour independently configurable moving averages (type, length, source, color each) let you build the classic multi-MA trend stack in one indicator — a long-term filter to define the overall regime, an intermediate MA for the broader trend, and a fast pair for tactical entries on pullbacks within it. Used purely as an overlay, this is a continuation tool: you only take trades in the direction the slower MAs already agree on, using the faster pair to time entries once price pulls back into alignment.
The MA3/MA4 cross-signal layer is what sets this apart from a plain crossover system. Instead of waiting for the two faster MAs to physically cross — which is already stale information by the time it happens — it takes each MA's recent slope and projects it forward by a configurable number of bars, firing the buy/sell label as soon as that projected path crosses rather than the actual one, giving you a signal a few bars earlier than a textbook crossover. A minimum-separation filter (scaled to ATR) throws out weak "touch and go" near-misses, and the signal only fires when price is already sitting on the correct side of both MAs and each MA is still actively moving in that direction on the current bar — all of which is meant to filter out low-conviction crosses in choppy conditions. An optional daily+-only restriction keeps the signal from firing on intraday noise for traders who only want to act on it at swing timeframes.
Best applied in trending or newly-trending markets, as a combined trend filter (from the 4 plotted MAs) and tactical entry trigger (from the cross signal) rather than as a mean-reversion tool — it has little to offer in a flat, range-bound market since the slope and separation conditions are designed specifically to avoid firing in that environment. 指标
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MHIDa Relative-Weakness vs BTCWHAT IT DOES
This indicator measures how much the asset on your chart is underperforming Bitcoin (or any reference symbol you choose) over a rolling window of bars. It plots the difference between the asset return and the reference return over the same window, in percent, in a separate pane. Values below zero mean the asset is weaker than the reference.
HOW IT WORKS
- It takes the asset return over the last N bars (default 10) and subtracts the reference symbol return over the same N bars. The comparison uses the just-closed bar (close versus close ), so the reading is based on completed bars.
- Relative weakness = (asset return - reference return) * 100.
- When this value drops below your chosen threshold (default 8%), the pane background is shaded: that is an excess-of-weakness zone.
- If, inside that zone, the current candle closes green (close above open), a small watch triangle prints at the bottom of the pane: the underperformance is extreme AND a first sign of stabilization has appeared. The marker draws only on standard chart types.
WHY THESE PIECES ARE TOGETHER
The shaded zone alone tells you the underperformance is extreme, but an extreme can keep getting worse. The green-candle condition adds the first hint that the fall against the reference is cooling off. Neither piece is a trade signal on its own; together they point at spots worth examining by eye.
HOW TO USE IT
Works on any symbol and timeframe. Inputs: reference symbol (default BTC), window length in bars, weakness threshold in percent, and whether to require a green candle before flagging. An optional alert fires on the flag - it is a reminder to go look at the chart, not an order.
HONEST LIMITS
This is a context tool, not a signal and not financial advice. It is not a winning system on its own. The decision, the context and the risk stay with you. 指标
Liquidity Sweep & ATR Envelope⚡ Liquidity Sweep & ATR Envelope
The market hunts stops. This tool shows you where it just happened — and whether price actually rejected the grab or kept right on going. 🎯
Liquidity sweeps caught at volatility extremes, confirmed by a real reclaim, fully resolved on the bar they fire. No repaint. No HTF trickery.
🔍 The mechanic — a signal needs three things to line up on the same candle:
💧 Liquidity grab — a wick pierces a tracked swing high/low, right where the stops are sitting.
📏 Volatility extreme — that same wick has to clear the ATR envelope by a clearance buffer, so you only catch sweeps that genuinely stretch price, not routine noise.
↩️ Reclaim with force — the close snaps back past the swept level and beats the poke. The displacement guard demands the reclaim recover a set fraction of the wick's penetration depth. A limp bounce doesn't qualify.
Levels are one-shot: any wick through a tracked pivot consumes it — signal or not — and the tool re-arms on the next confirmed swing. What you see is exactly what happened.
🛡️ Non-repaint by construction — pivots confirm after their right-side bars, and every signal, marker, zone, and alert is gated to bar close. A triangle that printed yesterday printed on that bar and never moved. What you backtest is what you trade. ✅
🎨 On the chart:
🌊 Hero ATR envelope with event-driven band glow — bands light up when price presses them or on a fresh sweep.
📦 Gradient sweep zones from swept level to wick extreme — historical signals legible at a glance.
👣 Swept-history footprints so you can read where liquidity already got taken.
🎛️ 8 themes (Suite, Ocean, Royal, Ember, Mono, Frost + full Custom), optional bar tint, trigger-threshold line, compact status table.
🔔 Clean JSON alerts (direction / level / trigger) — wire it straight into your automation.
⏱️ Timeframe notes — single-timeframe and scale-free. Every threshold is measured in ATR or as an intra-bar ratio, so it ports across instruments and timeframes with zero rescaling. Defaults are tuned on H1 and carry to M15 unchanged — comparable signal frequency and reclaim quality on both. On H4 and above the setup is rarer by nature; drop Pivot Left/Right to 3 if you want more events there. Read every signal as liquidity-location context, not a standalone entry — pair it with your structure read (or Confluence Context, regime/confluence indicator on my profile) for direction. 🧭
📈 How to trade it — the tool tells you where the market just swept liquidity and rejected. It doesn't tell you which way to point. Stack it with structure, with your bias, with the rest of the suite. Confluence over signals.
Part of the SlatinaTrades suite. Free, open-source, and built to one standard: still useful after it's been on your chart a while. 指标
Opening Range Breakout ORB - Signals, Targets & Alerts [LunqFX]The Opening Range Breakout (ORB) is one of the most traded intraday strategies — but most ORB indicators only draw the opening range box and leave you guessing. This Opening Range Breakout indicator goes further: it marks the opening range, detects the first genuine breakout, filters fakeouts, projects measured-move targets, and — uniquely — builds a live breakout statistics engine from the last 100 trading days of the symbol on your chart.
What makes this ORB indicator different
Instead of a static box, you get a data-driven read on how your market actually behaves after the opening range:
First-break direction split — how often the day breaks up vs down
Hold rate — how often the first breakout direction holds into the close
Fakeout rate — how often the first breakout fails back inside the range
Target hit rates — how often price reaches 1x and 2x the opening-range height
So before you take the trade you can see, for example, that on this symbol the upside breakout holds into the close 62% of the time and the 1R target is reached on 48% of breakout days.
How the opening range breakout is calculated
Auto mode works on every market with zero setup. The opening range starts at each day's open of the symbol's own exchange — stocks at the 09:30 session open, crypto at the 00:00 UTC daily open, forex and futures at their session open — and lasts a chosen number of minutes (the classic 5-minute, 15-minute or 30-minute ORB). A Custom mode lets you define any session window, such as the London or New York open.
When the opening-range window closes, the range high and low are locked and projected forward as levels.
The first candle close beyond the range (or wick, if you prefer) is treated as the breakout. Targets are projected at 1x and 2x the range height in the breakout direction.
A close back inside the range before the first target is reached is flagged as a fakeout. A breakout that reaches 1R first and only then returns is counted as a valid breakout, not a fakeout.
At the end of each trading day the outcome is recorded — direction, hold, fakeout, targets — and the dashboard percentages are plain rolling hit rates. No repainting, no curve fitting.
How to use it
Breakout day trading: trade the first breakout with more context — use the hold rate to judge whether the break on your symbol is worth taking, and size your target from the 1R / 2R hit rates.
Fakeout fade: when a symbol shows a high fakeout rate, the failed breakout back inside the range is often the better setup; the fakeout is marked in real time.
Range-quality filter: the dashboard shows the opening range as a multiple of ATR, so you can skip abnormally small ranges that tend to break out randomly.
Works on any symbol and any intraday timeframe (1m–15m recommended): index futures and CFDs (NAS100, SPX500, US30, NQ, ES), stocks and ETFs (SPY, QQQ), gold (XAUUSD), Bitcoin and crypto, and forex majors.
Dashboard
A clean on-chart panel shows today's live status (building range → inside range → breakout → target hit or fakeout), the opening-range high/low and its size in ATR, and the full statistics block with the sample size always visible.
Settings
Auto anchor (any market, zero setup) or fully custom session window with timezone control — 5 / 15 / 30-minute ORB or any session open
Close-based or wick-based breakout logic
Adjustable target multiples, rolling statistics window, and visuals
Alerts for range locked, breakout up, breakout down, fakeout, target 1 and target 2
Optional gradient momentum candles that can be switched off
No repainting
The opening range is fixed the moment its window closes. Breakouts, fakeouts and targets are confirmed on closed bars only, and the statistics are built exclusively from completed trading days — never recalculated backwards.
This indicator is an educational market-analysis tool, not financial advice. Historical statistics describe past behavior and are not a guarantee of future results. Always confirm with your own analysis and manage your risk.
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Smart Multi-Timeframe Dual Candles (1m to 4H) [212]Author: 212
Stop cluttering your screen and start reading the market context like a pro. This tool visualizes HTF (Higher Timeframe) price action directly onto your micro-timeframe chart without messing up your chart scaling.
Scale-Fixed Visualization: Uses scale.none to ensure your main chart (e.g., 15s or 1m) never distorts, no matter how large the HTF volatility is.
Dual Candle Comparison: Plots the 'Previous Closed Candle' and 'Current Forming Candle' side-by-side for all 7 timeframes (1m, 3m, 5m, 15m, 30m, 1H, 4H).
Visual Hierarchy: Differentiates the 'Past' (faded/translucent) and 'Present' (vivid/solid) candles for instant pattern recognition.
Dynamic UI: Use the settings panel to toggle each timeframe on/off. Perfect for custom trading styles.
Clean Layout: All labels are perfectly aligned at the lowest point, ensuring they don't overlap with your price action.
Perfect for scalpers who need context. Enable the timeframes you watch, and use the 'Current' vs 'Past' candle patterns to spot trend strength and exhaustion. 指标
Education Trend | Wizard AcademyEducativ Trend | Wizard Academy
educativ trend is an educational trend-reading module built to teach traders how to identify real market structure, understand trend direction, avoid weak market conditions, and recognize clean pullback locations.
the tool is designed for beginners who want a clear framework, but it also gives advanced traders a structured way to read price action without relying on emotion or random candle reactions.
the main idea is simple:
a trend is not a feeling.
a trend is not only price above or below a moving average.
a trend is a sequence of swing points.
an uptrend is confirmed by:
higher high + higher low
a downtrend is confirmed by:
lower high + lower low
anything else is treated as range, transition, or unclear structure.
main features
confirmed market structure
the indicator detects confirmed swing highs and swing lows, then classifies them as:
HH = higher high
HL = higher low
LH = lower high
LL = lower low
EQH = equal high
EQL = equal low
each swing label includes educational context so the trader can understand what happened and why it matters.
trend state engine
the trend state is decided from structure only.
uptrend = HH + HL
downtrend = LH + LL
range = mixed or unclear structure
this helps traders avoid the common mistake of forcing trend trades inside a range.
ema context
the tool includes two moving averages:
fast ema
slow ema
the slow ema is used as long-term bias.
the fast ema is used as short-term fair value and pullback context.
the moving averages are not treated as the trend definition. they are used as context around the real structure.
bos and choch
the indicator marks important structure breaks:
BOS = break of structure
CHoCH = change of character
a bullish BOS shows continuation above the last confirmed swing high.
a bearish BOS shows continuation below the last confirmed swing low.
a bullish CHoCH appears when a bearish structure is damaged by a break above the last swing high.
a bearish CHoCH appears when a bullish structure is damaged by a break below the last swing low.
pullback module
the tool highlights textbook pullbacks into the fast ema when trend structure and bias agree.
a long pullback setup can appear when:
structure is bullish
price is above the slow ema
price pulls into the fast ema
price closes back above the fast ema
the candle closes bullish
a short pullback setup can appear when:
structure is bearish
price is below the slow ema
price rallies into the fast ema
price closes back below the fast ema
the candle closes bearish
this helps beginners avoid chasing breakouts and focus on better trade locations.
projected swing levels
the last confirmed swing high and swing low can be projected to the right side of the chart.
these levels show what price needs to break next.
close above the last swing high can create bullish BOS or bullish CHoCH.
close below the last swing low can create bearish BOS or bearish CHoCH.
dashboard
the live dashboard gives a quick read of the current market state.
it displays:
trend structure
last swing high
last swing low
price vs slow ema
fast ema vs slow ema
fast ema slope
distance from slow ema
checklist quality
live coaching message
the first title row uses an orange accent for a clean institutional look.
lesson card
the lesson card gives a simple nine-rule framework for reading trends.
it teaches:
structure first
ema second
entry last
do not chase breakouts
pullbacks are cleaner locations
ranges are dangerous for beginners
invalidation matters
glossary card
the glossary card explains the main structure terms directly on the chart.
it includes:
HH
HL
LH
LL
BOS
CHoCH
EQH / EQL
golden cross
death cross
PB
each panel can be moved to different chart positions, including corners and middle placements.
how to use the indicator
step 1: read the trend state
start with the dashboard.
if the dashboard says uptrend, the market has confirmed HH + HL.
if the dashboard says downtrend, the market has confirmed LH + LL.
if the dashboard says range, the highs and lows do not agree.
beginners should avoid forcing trend trades when the dashboard shows range.
step 2: check the slow ema bias
look at price versus the slow ema.
price above the slow ema shows bullish long-term context.
price below the slow ema shows bearish long-term context.
the ema does not define the trend by itself, but it helps confirm whether structure and bias agree.
step 3: check the fast ema pullback zone
the fast ema acts like short-term fair value.
in a bullish trend, price often pulls back into the fast ema before continuing.
in a bearish trend, price often rallies into the fast ema before continuing lower.
the cleanest entries usually come after a pullback, not after chasing a breakout candle.
step 4: watch the last swing levels
the projected swing high and swing low show the next important structure levels.
if price closes above the last swing high, bullish structure is strengthened or a bearish trend is damaged.
if price closes below the last swing low, bearish structure is strengthened or a bullish trend is damaged.
step 5: use bos and choch correctly
BOS is usually continuation.
CHoCH is usually the first warning that a trend may be changing.
a CHoCH is not automatically an entry. it is a warning to stop blindly trading the old trend and wait for new structure.
beginner long example
1. the dashboard shows uptrend
2. the last structure is HH + HL
3. price is above the slow ema
4. the fast ema is above the slow ema
5. price pulls back into the fast ema
6. price closes bullish above the fast ema
7. the indicator marks a pullback long
8. risk can be planned below the most recent higher low
this is a cleaner long setup than buying after a vertical breakout.
beginner short example
1. the dashboard shows downtrend
2. the last structure is LH + LL
3. price is below the slow ema
4. the fast ema is below the slow ema
5. price rallies into the fast ema
6. price closes bearish below the fast ema
7. the indicator marks a pullback short
8. risk can be planned above the most recent lower high
this is a cleaner short setup than selling after a large breakdown candle.
how to read the checklist
the checklist gives a simple structure-quality score.
3 / 3 = textbook condition
2 / 3 = partial condition
1 / 3 = weak condition
0 / 3 = avoid
a textbook condition means structure, ema bias, and alignment agree.
a partial condition means the market is not fully aligned yet.
a weak condition means the setup is not clean.
best beginner settings
fast ema: 20
slow ema: 200
swing left bars: 5
swing right bars: 5
equal high/low tolerance: 0.05 × atr
show structure labels: on
show bos / choch: on
show pullbacks: on
show dashboard: on
show lesson card: on
show glossary card: on
for faster markets
reduce swing left/right bars to 3 or 4.
this creates faster structure detection, but it can also create more noise.
for cleaner structure
increase swing left/right bars to 7, 8, or 10.
this gives fewer swings, but the structure is stronger and easier to read.
tips
do not use moving averages alone as a trend definition.
do not buy only because price is above the slow ema.
do not short only because price is below the slow ema.
wait for structure confirmation.
avoid trading in the middle of ranges.
a higher high alone does not confirm an uptrend.
a lower low alone does not confirm a downtrend.
the best long setups usually come after a higher low.
the best short setups usually come after a lower high.
BOS confirms strength.
CHoCH warns that the previous trend may be damaged.
equal highs and equal lows often act as liquidity zones.
do not chase extended candles far away from the fast ema.
wait for price to return to value.
use the most recent HL or LH as invalidation.
alerts
available alerts include:
uptrend confirmed
downtrend confirmed
trend lost / range
bullish BOS
bearish BOS
bullish CHoCH
bearish CHoCH
textbook pullback long
textbook pullback short
golden cross
death cross
for cleaner alerts, use once per bar close.
important note
this tool is built as an educational structure-reading module.
it is designed to help traders understand trend logic, market structure, pullbacks, continuation, transition, and invalidation.
always use risk management, position sizing, and confirmation from your own trading plan.
指标
指标
Breakout Confluence Score█ OVERVIEW
Breakout Confluence Score is an indicator designed to filter breakouts from consolidation by evaluating the overall market context before generating a signal.
The core assumption of the indicator is that not every breakout from consolidation has the same value. In practice, the success rate of a breakout depends on many independent factors such as market direction, trend strength, momentum, participant activity, and the quality of the consolidation itself.
Instead of treating every breakout equally, the indicator analyzes a series of independent market elements and assigns each of them a specific number of points. The final result creates the so-called Confluence Score — an assessment of how well multiple factors support a given breakout.
Only after reaching the minimum required score is a LONG or SHORT signal generated.
This approach significantly reduces the number of weak breakouts that appear during choppy price action, while still offering full configuration flexibility. Every scoring element can be individually enabled, disabled, or assigned its own point weight.
In addition to generating signals, the indicator also serves as a tool for ongoing market evaluation. The built-in scoring table shows the current status of all conditions even before a breakout occurs, allowing the trader to observe whether market conditions are gradually improving or deteriorating.
An integral part of the indicator is also the Signal Tester, which enables quick evaluation of the historical performance of the signals without the need to create a separate TradingView strategy. The tester was designed as a tool for assessing signal quality rather than as a full backtesting engine. This allows it to offer several capabilities that are difficult or impossible to achieve in classic strategies.
All modules of the indicator can operate independently, which means Breakout Confluence Score can be used as a simple breakout detector, a consolidation analysis tool, a market condition evaluation system, or a complete trade signal filter.
█ CONCEPTS
Most breakout indicators assume that every breakout from consolidation has similar chances of success.
In reality, the market does not work that way.
Price constantly moves through phases of trend, accumulation, distribution, and choppy movements without a clear direction. Two almost identical-looking breakouts can lead to completely different outcomes solely because of different market conditions.
That is why Breakout Confluence Score separates the signal generation process into two independent stages:
• detection of the breakout,
• evaluation of the quality of market conditions supporting that breakout.
A signal appears only when both conditions are met.
Building Consolidation and Boxes
The foundation of the indicator is automatic consolidation detection.
Consolidation begins when a defined number of consecutive candles remain inside the High-Low range of the base candle. The first candle that meets this condition defines the boundaries of the entire consolidation zone.
Its high becomes the upper boundary of the box, while its low defines the lower boundary. As long as every subsequent candle stays inside this range, the consolidation continues and the box is gradually extended to the right with each new candle.
As a result, a visual equilibrium zone appears on the chart, showing the area where neither buyers nor sellers have yet gained a clear advantage.
Consolidation ends in one of three cases:
• price breaks above the upper boundary of the box,
• price breaks below the lower boundary of the box,
• consolidation lasts too long and exceeds the maximum allowed number of candles.
Optionally, the indicator can also prevent a new consolidation from starting after a candle with an exceptionally large range. For this purpose, it uses ATR calculated before the analyzed candle, so a single large impulse cannot artificially inflate the volatility threshold and facilitate the creation of a new consolidation zone.
Why the Breakout Alone Is Not Enough
A breakout from consolidation does not automatically mean a good trading opportunity.
Very often breakouts occur:
• without clear momentum,
• against the dominant trend,
• on low volume,
• during a weak trend,
• without real buying or selling pressure.
Technically these are valid breakouts, but statistically their success rate tends to be much lower.
For this reason, the indicator does not evaluate only the fact of the breakout itself, but also the entire market environment in which it occurs. In practice, this means that two identical breakouts can receive completely different point scores. It is the scoring system that determines the quality of the signal.
Scoring and Market Context Evaluation
The purpose of scoring is to determine the current market situation as accurately as possible.
The breakout itself only informs that price has left the consolidation zone.
Scoring answers a much more important question:
“Does the market have sufficient conditions to continue the move after the breakout?”
Each scoring element analyzes a different aspect of market behavior.
Thanks to this, the final score is not based on a single indicator, but represents a combination of multiple independent sources of information.
EMA – Trend Direction
The Price vs EMA condition determines the dominant market direction.
If price is above the EMA, the LONG side receives an advantage.
If price is below the EMA, the SHORT side receives an advantage.
EMA is therefore responsible for identifying the dominant trend.
EMA Slope – Trend Development
The mere location of price relative to the EMA does not yet tell us whether the trend is developing actively.
That is why the slope of the average is also analyzed.
A rising EMA indicates a developing uptrend.
A falling EMA indicates a developing downtrend.
EMA Slope is responsible for assessing the quality and direction of trend development.
RSI – Momentum
RSI is used as a momentum indicator.
It is not used here to find overbought or oversold zones.
Its task is to assess which side of the market currently has greater strength.
RSI above 50 supports LONG signals.
RSI below 50 supports SHORT signals.
RSI is responsible for evaluating current market momentum.
ADX – Trend Strength
ADX measures the strength of the move regardless of its direction.
A high ADX value means the market is moving in a decisive and orderly manner.
A low ADX value indicates the lack of a clear advantage for either side.
ADX is responsible for assessing trend strength.
Volume – Market Participant Activity
Volume allows evaluation of whether increased participant activity stands behind the breakout.
Breakouts that occur on above-average volume are generally more reliable than breakouts that occur during low activity.
Volume is responsible for assessing market interest.
Body Size – Strength of the Breakout Candle
A large body of the breakout candle indicates a decisive advantage of one side of the market.
If the candle body is clearly larger than the average of recent candles, the breakout receives additional points.
Body Size is responsible for evaluating the strength of the breakout impulse itself.
Zone Tightness – Market Compression
Not all consolidations have the same value.
The narrower the box relative to the current ATR, the higher the probability that the market is in a compression phase preceding a stronger move.
Zone Tightness is responsible for assessing the quality and compression of the consolidation.
Duration Premium – Maturity of Consolidation
Longer consolidations often lead to more decisive breakouts.
Therefore, the indicator additionally rewards zones that have lasted for a sufficient amount of time.
Duration Premium is responsible for assessing the maturity of the consolidation.
Live Market Analysis
Scoring does not work only at the moment of breakout.
The scoring table analyzes all conditions in real time, even before a signal appears.
This allows the trader to observe how the market situation is changing and which side of the market is gradually gaining an advantage.
In practice, the indicator becomes not only a signal system, but also a tool for continuous evaluation of the current market environment.
Signal Tester
The Signal Tester was designed as a quick tool for evaluating the quality of generated signals.
It is not a full backtesting engine like TradingView Strategy and its results should not be treated as an accurate simulation of real trading.
A simplified operating model was deliberately used because it enables functionalities that are difficult or impossible to achieve in classic strategies.
The tester can simultaneously maintain multiple positions, manage LONG and SHORT trades independently, and — depending on the settings — allow simultaneous opening of positions in both directions. It can also block new entries until the previous position is closed or reject signals that appear too close to already open trades.
Each position receives its own Entry, Take Profit, and Stop Loss levels calculated based on ATR, which makes it possible to quickly compare different scoring configurations without building a full strategy.
The tester’s results are calculated conservatively.
If both the Take Profit and Stop Loss levels could have been reached during a single candle, the tester always assumes that the Stop Loss was hit.
Because the real sequence of price movements inside a single candle is unknown, this approach deliberately underestimates rather than overestimates the results. This effect becomes especially visible with small TP and SL distances, for example 0.5 ATR, where both levels can very often be reached within one candle. The smaller the TP and SL values relative to ATR, the more conservative the tester’s statistics will be.
The tester also does not account for commissions, spreads, or slippage. Therefore its results should be treated as a tool for comparing signal quality and optimizing indicator settings, not as an accurate simulation of real trading results.
█ FEATURES
Consolidation
* Minimum number of candles in consolidation – Minimum number of consecutive candles required to recognize a consolidation zone
* Show consolidation zones – Enables/disables drawing of consolidation boxes on the chart
* Show breakout signals – Enables/disables display of breakout signals (triangles and/or score labels)
* Remove box if breakout did NOT produce a signal (score < threshold) – Automatically removes the box if the breakout did not reach the minimum scoring threshold
* Display signals as – Choose signal display style: triangles only, labels only, or both
* Maximum number of candles in consolidation (0 = no limit) – Maximum duration of consolidation — after exceeding it the box is closed without generating a signal
Candle Size Filter
* Block consolidation start on oversized candle – Prevents starting consolidation after a candle with a very large range
* Max candle range (high-low) × ATR – Threshold for candle size (multiple of ATR calculated before the candle)
Scoring - General
* Minimum score for a signal (weighted sum) – Minimum required Confluence Score to generate a signal
Scoring - Candle Body
* Average body period – Period used to calculate average candle body size
* Signal body multiplier (body > avg × mult) – Multiplier for required body size of the breakout candle
* Condition weight: large body – Point weight of the large body condition
Scoring - ADX
* ADX — period (DMI) – Period of the ADX indicator
* ADX — minimum value – Minimum ADX value required to award a point
* Condition weight: ADX – Point weight of the ADX condition
Scoring - EMA
* EMA — period (trend) – Period of the EMA used for trend evaluation
* Condition weight: price vs EMA – Point weight of the price vs EMA condition
* Condition weight: EMA direction (slope) – Point weight of the EMA slope condition
Scoring - RSI
* RSI — period – Period of the RSI indicator
* Condition weight: RSI – Point weight of the RSI above/below 50 condition
Scoring - Volume
* Volume — average period – Period used to calculate average volume
* Volume — multiplier (vol > avg × mult) – Multiplier for required volume on breakout
* Condition weight: high volume – Point weight of the high volume condition
Scoring - Consolidation Structure
* Zone tightness: max (top-bottom)/ATR – Threshold for zone width relative to ATR (compression)
* Condition weight: zone tightness – Point weight of the zone tightness condition
* Premium: extra candles above minimum – Additional number of candles above minimum required for duration premium
* Condition weight: duration (premium) – Point weight of the duration premium condition
Table
* Table position – Position of the scoring table on the chart
* Table text size – Text size in the scoring table
Colors
* Bullish Color (Long) – Color used for LONG elements
* Bearish Color (Short) – Color used for SHORT elements
* Neutral Color – Color used for neutral elements / no signal
Signal Tester (TP/SL)
* Enable signal tester – Enable/disable the signal tester
* Tester — ATR period – ATR period used by the tester
* Tester — Take Profit × ATR – Take Profit distance in ATR multiples
* Tester — Stop Loss × ATR – Stop Loss distance in ATR multiples
* Block new signals while a position is open – Block new signals until the previous position is closed
* Block signals too close to an existing position – Filter for minimum distance between signals
* Min. distance between signals × ATR – Minimum distance (in ATR) between signals in the same direction
Signal Tester - Table
* Tester table position – Position of the tester statistics table
* Tester table text size – Text size in the tester statistics table
Signal Tester - TP/SL Visualization
* Show TP/SL levels on chart – Display Entry / TP / SL levels on the chart
* Level line width – Width of TP/SL level lines
* Show risk/reward zone fill – Fill color for risk and reward zones
█ APPLICATIONS
The main task of the indicator is to evaluate the quality of the breakout by analyzing the confluence of multiple independent market factors (trend direction and strength, momentum, volume, impulse strength, zone compression, and consolidation maturity). A LONG or SHORT signal is generated only when the total score exceeds the set threshold.
Thanks to this approach, the indicator effectively eliminates a large portion of weak and false breakouts that occur in low-confluence conditions.
The scoring table operates in real time — even before a signal is generated — and allows the trader to observe how a potential opportunity is gradually building up (or falling apart). This is especially useful for early detection of moments when the market begins to meet more and more conditions favorable for a breakout.
The built-in Signal Tester enables quick and convenient comparison of different scoring configurations without the need to write a separate strategy. It allows checking in just a few seconds how changing weights or thresholds affects the historical performance of the signals.
The indicator achieves the best results when used together with support and resistance zone analysis. For example, opening a long position directly under strong resistance is generally not advisable, while a long signal aligned with a support zone usually produces significantly better results. Similarly, short signals appearing near resistance tend to be more effective than those generated without reference to key levels.
The indicator works best when combined with support and resistance analysis.
█ NOTES
* Each of the eight scoring conditions can be independently enabled or disabled by setting its weight to 0.
* The scoring table shows the current market state in real time — it can be used even when signal generation is disabled.
* The Signal Tester operates in conservative mode: if both TP and SL could have been reached on the same candle, it always counts it as a loss. This approach deliberately underestimates results to provide a more realistic picture.
* The tester does not account for commissions, spreads, or slippage — it serves only for comparing signal quality and optimizing settings.
* All modules of the indicator (consolidation detection, scoring, table, tester, TP/SL visualization) can operate completely independently.
* Very long consolidations exceeding the “Maximum number of candles” limit are automatically closed without generating a signal to avoid outdated zones.
* The best results are achieved when the indicator is used together with support and resistance zone analysis. Long signals near support and short signals near resistance are generally significantly more effective. 指标
Master Trend StrategyMaster Trend Strategy 🚀
A precision trend-following strategy built around a proprietary Master Trend detection engine, combining multi-EMA alignment, momentum confirmation, and trend-line rejection logic into two independent, fully configurable order systems.
📈 Master Trend Detection
At its core, the strategy identifies high-probability trend shifts by requiring full alignment across EMA4/EMA5 crossovers, RSI momentum, and a stack of EMA21/50/55/89/750 filters — further confirmed by stochastic momentum, EMA89 breakouts, VWAP crosses, or bullish/bearish engulfing patterns above/below EMA750. Only signals passing every filter are considered valid.
🎯 Two Independent Trading Engines
Master Trend Signal Orders (△▽) — enters directly on confirmed trend signals, active by default.
Rejection Orders (R) — enters on price rejections off the dynamic Master Trend line, offering a more selective, pullback-style entry.
Each engine runs fully independently, with its own Take Profit/Stop Loss percentages, pyramiding rules, and overlap settings.
🔒 Breakeven & 🔁 Trailing Stop
Both order types feature independent, fully configurable Breakeven and Trailing Stop mechanics — automatically locking in profit and letting winners run, with dedicated risk-reward triggers for each engine.
📏 EMA750 Proximity Filter
An optional per-engine filter restricts entries to price action trading near the EMA750, filtering out signals too far extended from the mean.
🔺 Flexible Risk Management
Configurable pyramiding, position limits, and trade overlap controls give full control over exposure — long and short trades can be toggled independently.
📊 Built-In Performance Analytics
A live on-chart stats table tracks trades, win rate, pips, and R-multiples separately for each engine, automatically highlighting the best-performing system. A rolling "Last Signal" table keeps the three most recent events visible at a glance.
🎨 Rich Trade Visualization
Every trade is plotted with TP/SL boxes, pip-distance labels, live P&L tracking, and optional entry labels — including a clear 3-zone breakdown (risk / realized profit / missed target) whenever a Trailing Stop closes a trade in profit.
🕘 Time & Timezone Controls
Built-in session time filtering and adjustable UTC offset ensure signals and orders align precisely with your preferred trading hours.
Pine Script v6 · Fully backtestable · Designed for precision trend and rejection trading. 策略
ScalpMaster EliteScalpMaster Elite 👑
ScalpMaster Elite is a multi-confirmation scalping toolkit built around an 8-indicator TP System (RSI, MACD, Stochastic, Bollinger Bands, Supertrend, CCI, EMA Cross, Price Action Breakout 📊) that only fires a signal when a configurable number of these indicators agree on exhaustion — giving you clean ▲ Bullish / ▼ Bearish triangle signals instead of noise.
⚙️ Key Features:
🎯 EMA750 Directional Filter — longs only fire above EMA750, shorts only below, keeping every trade aligned with the underlying trend
🔁 Full TP/SL Risk-Reward Engine — auto-calculated SL/TP boxes, Breakeven lock 🔒, Trailing Stop, and optional swing-based TP targeting
✅ Confirmation Mode — price must close beyond the signal line in the trade's direction before entry triggers, filtering out false breakouts
🔀 Overlap Trades toggle for managing multiple concurrent positions
📊 Session Stats Table — win rate, pips, and R multiple broken down by up to 3 custom time sessions, with the best-performing session auto-highlighted ⭐
💹 Live P&L labels, entry/TP/SL pip labels, and color-coded boxes that update in real time as trades progress
📊 ATR Bands Filter for volatility-based signal boundaries
🔊 Full alert suite for signals, TP/SL hits, Breakeven, and Trailing Stop events
Built for traders who want a disciplined, rules-based scalping workflow with transparent risk management baked directly into the chart. 指标
Liquidity Rejection Auto TargetOverview
Liquidity Rejection Auto Target is a price action indicator designed to identify potential liquidity sweeps followed by rejection candles. The indicator automatically highlights possible long and short trading opportunities based on swing high and swing low liquidity concepts while plotting an entry level, stop loss, and a risk-reward based take-profit target.
This tool is intended to assist traders in identifying areas where price briefly moves beyond a recent swing level before returning back inside the range, which may indicate a rejection of that liquidity level.
How It Works
Bullish Setup
- Detects the most recent confirmed swing low.
- Waits for price to move below that swing low (liquidity sweep).
- Confirms the setup when the candle closes back above the swing low.
- Plots a BUY signal.
- Uses the rejection candle low as the Stop Loss.
- Calculates the Take Profit automatically using the selected Risk:Reward ratio.
Bearish Setup
- Detects the most recent confirmed swing high.
- Waits for price to move above that swing high (liquidity sweep).
- Confirms the setup when the candle closes back below the swing high.
- Plots a SELL signal.
- Uses the rejection candle high as the Stop Loss.
- Calculates the Take Profit automatically using the selected Risk:Reward ratio.
Features
• Automatic liquidity sweep detection
• Bullish and bearish rejection confirmation
• Automatic BUY and SELL signals
• Entry, Stop Loss, and Take Profit plotting
• Adjustable swing detection settings
• Configurable Risk:Reward ratio
• TradingView alert support
• Overlay display directly on the price chart
Inputs
Pivot Left / Right
Adjusts how swing highs and swing lows are identified. Larger values produce stronger but less frequent signals, while smaller values react more quickly to price changes.
Risk:Reward
Defines the automatic take-profit distance relative to the calculated stop-loss distance.
Best Practices
This indicator works best on liquid markets where swing highs and swing lows are clearly formed. Many traders use it together with higher-timeframe market structure, trend analysis, support and resistance, or volume confirmation to help filter potential trade setups.
Alerts
TradingView alert conditions are included for both BUY and SELL signals, allowing users to create notifications whenever a new setup is detected.
Disclaimer
This indicator is an analytical tool and should not be considered financial or investment advice. Market conditions vary, and no indicator can guarantee profitable trades. Always perform your own analysis, apply sound risk management, and test any trading strategy before using it in live markets. 指标
Trend Ribbon (EMA Cloud + Crossovers)Trend Ribbon (EMA Cloud + Crossovers)
Trend Ribbon is a clean, purpose-built trend-following indicator designed to give traders instant visual clarity on market direction, momentum shifts, and potential entry/exit zones — without cluttering your chart with unnecessary noise.
At its core, the indicator uses a dual EMA system (Fast and Slow) with a dynamically colored cloud filled between them. This cloud instantly communicates the prevailing trend: when the Fast EMA trades above the Slow EMA, the cloud turns teal/green, signaling bullish momentum. When the Fast EMA drops below the Slow EMA, the cloud shifts to red, signaling bearish pressure. This visual approach removes the guesswork of interpreting raw moving average lines and lets you read trend strength at a glance.
To add depth beyond just the short-term crossover, Trend Ribbon includes a longer-period contextual EMA (default 50), which acts as a broader trend filter. This helps traders avoid getting caught in short-term noise by confirming whether the fast-moving crossover signals align with the bigger picture trend.
Key Features
📈 Dynamic EMA Cloud
A responsive cloud fill between Fast EMA (default 9) and Slow EMA (default 21) that changes color in real time based on trend direction — giving you an immediate, intuitive read on market bias.
🧭 Trend Context Filter
A longer EMA (default 50) plotted separately to help confirm whether short-term signals are aligned with the dominant trend, reducing false signals in choppy markets.
🎨 Adaptive Background Shading
The chart background subtly shifts between green and red tones based on price position relative to the trend EMA, reinforcing trend bias without overwhelming the price action.
🔺 Automatic Crossover Markers
Clean triangle markers are plotted directly on the chart whenever a bullish or bearish EMA crossover occurs, making key trend-shift moments easy to spot.
🔔 Built-In Alert Conditions
Pre-configured alerts for both bullish and bearish crossovers mean you never have to sit and stare at charts — set it once and let TradingView notify you the moment momentum shifts.
⚙️ Fully Customizable
Every key parameter — Fast EMA length, Slow EMA length, Trend EMA length, source, and visibility toggles for background shading, trend line, and markers — can be adjusted directly from the indicator settings panel to suit your trading style and timeframe.
How to Use It
Cloud color gives you the primary trend signal — green/teal for bullish conditions, red for bearish.
Crossover triangles mark the exact bars where momentum shifted, useful for timing entries or tightening stops.
Background shading provides a secondary confirmation layer, helping you filter signals that go against the broader trend.
Works effectively across multiple timeframes and asset classes — stocks, crypto, forex, indices, and commodities.
Best suited for trend-following and swing trading strategies, though it can also be combined with other indicators (volume, RSI, support/resistance) for a more complete trading system.
Why Trend Ribbon?
Unlike cluttered multi-indicator setups, Trend Ribbon focuses on doing one thing well: making trend direction and momentum shifts visually obvious at a glance. It's lightweight, fast to load, and designed for traders who value clarity over complexity 指标
指标
Quantum Trap Detector AI [QTD AI] v1Quantum Trap Detector AI v1 — Complete Setup
🔹🔹Step 1: Final Script Preparation
Before publishing Quantum Trap Detector AI v1, make sure the script is clean, optimized, and ready for the Trading View community.
Final checks:
✅ Script name: Quantum Trap Detector AI v1
✅ Pine Script Version: Pine Script v6
✅ Remove unnecessary test code
✅ Check all signals and visual elements
✅ Confirm alerts are working correctly
✅ Test on different markets and timeframes
The goal is to provide traders with a professional tool that is simple to understand but powerful enough for advanced market analysis.
🔹🔹Step 2: Indicator Concept
Quantum Trap Detector AI v1 is designed to help traders identify hidden market behavior by analyzing price action, liquidity movements, and breakout traps.
Traditional indicators often react after the move has already happened. QTD AI focuses on detecting important market events such as:
• Liquidity sweeps
• Fake breakouts
• Bull traps
• Bear traps
• Market structure changes
• Momentum shifts
• Potential high-probability zones
The indicator combines multiple market conditions into one intelligent analysis system to help traders understand where price may be preparing for its next major movement.
🔹🔹Step 3: TradingView Description
Quantum Trap Detector AI v1
A next-generation market analysis tool designed to detect hidden price traps, liquidity movements, and potential breakout opportunities.
QTD AI analyzes market behavior using advanced price-action logic, volatility analysis, liquidity detection, and structural confirmation to help traders identify stronger market opportunities.
The indicator is built for traders who want a cleaner view of market conditions without relying on traditional lagging signals.
🔥 Main Features
✅ Liquidity Sweep Detection
Identifies areas where price searches for liquidity before potential reversals or continuation moves.
✅ Bull Trap & Bear Trap Detection
Helps recognize false breakouts where many traders may enter too early.
✅ Market Structure Analysis
Tracks important price behavior changes and potential trend transitions.
✅ Smart Momentum Confirmation
Filters weak movements and focuses on stronger market conditions.
✅ Confidence Scoring System
Provides a market strength perspective based on multiple confirmation factors.
✅ Professional Dashboard
Displays important market information in a simple and clean format.
🔹🔹Step 4: How Traders Can Use QTD AI
For better results:
Identify the current market direction.
Wait for liquidity interaction or trap detection.
Confirm market structure.
Use proper risk management.
Combine signals with your own trading strategy.
QTD AI is designed as a decision-support tool, not a replacement for personal analysis.
🔹🔹Step 5: Recommended Markets
Suitable for:
📌 Forex
📌 Cryptocurrency
📌 Indices
📌 Commodities
📌 Stocks
Recommended timeframes:
• 15 Minutes
• 1 Hour
• 4 Hours
• Daily
🔹🔹Step 6: Publishing Message
Introducing Quantum Trap Detector AI v1
After extensive development and optimization, I am releasing a new generation market analysis tool designed to help traders understand liquidity behavior, breakout traps, and market structure changes.
QTD AI focuses on one important goal:
Helping traders see what is happening behind the price movement.
Markets are not always moving through clean breakouts. Many times, price creates traps, collects liquidity, and then makes the real move.
Quantum Trap Detector AI is designed to highlight these important moments and provide traders with a clearer market perspective.
Important Risk Notice
No indicator can guarantee future market results. Trading involves risk. Always apply proper risk management and combine technical analysis with your own trading decisions.
Thank you to everyone supporting the development journey of Quantum Trap Detector AI v1.
More advanced updates and improvements are coming soon.
Follow, like, and share your feedback to support future development. 指标
Trading Context PanelTrading Context Panel
Trading Context Panel is a Pine Script v6 indicator that displays an operational context panel directly on the chart. It allows the user to record and view HTF, MTF, and LTF bias, analysis date/time, and a custom narrative for each registered asset.
The indicator supports up to 4 different assets. When switching charts, it automatically displays only the information that matches the current asset. If the current chart asset is not registered, the panel will display:
No context for this asset
Main configuration
Inside each section Asset 1, Asset 2, Asset 3, and Asset 4, the user can configure:
- Asset: asset/pair name
- Analysis date: analysis date
- Analysis time: analysis time
- HTF timeframe: HTF chart timeframe
- HTF: BULLISH, BEARISH, or SIDEWAYS
- MTF timeframe: MTF chart timeframe
- MTF: BULLISH, BEARISH, or SIDEWAYS
- LTF timeframe: LTF chart timeframe
- LTF: BULLISH, BEARISH, or SIDEWAYS
- Context: free text field for the analysis narrative
Important: asset name
The Asset field is essential.
The typed name must match the asset name shown on the TradingView chart.
Examples:
- If the chart shows EURUSD, enter EURUSD
- If the chart shows GBPUSD, enter GBPUSD
- If it shows only XAUUSD, enter XAUUSD
If the asset name does not match the current chart, the indicator will not find the context and will display:
No context for this asset
Visual settings
The user can also customize:
- panel position
- text size
- context width
- background color
- text color
- border color
- show/hide HTF, MTF, and LTF
- show/hide asset name
- show/hide analysis date and time 指标
For-Loop Vote Trailing Stop | MiesOnChartsFor-Loop Vote Trailing Stop
Overview
For-Loop Vote Trailing Stop is a trend-following tool that combines two ideas: a multi-horizon momentum vote to decide the direction of the market, and an ATR-based ratcheting trailing stop to ride and eventually exit the move. Rather than judging momentum from a single lookback, it polls dozens of horizons at once and lets them vote; the winning side then sets a stop line that trails price and only flips when the opposite side wins the election.
The script plots as a single stop line that sits below price in an uptrend and above price in a downtrend, changing colour and side when the regime turns.
The script is designed and tuned for the 1D (daily) timeframe, though its inputs are fully adjustable for other timeframes.
The idea behind it
Momentum measured over one lookback is fragile: a 10-bar reading and a 60-bar reading frequently disagree, and whichever you pick can be caught out by the other's timescale. This indicator treats direction as an election across horizons instead of a single measurement.
For every horizon from the minimum to the maximum, it asks a simple yes/no question is price higher now than it was that many bars ago? Each horizon casts a vote of +1 (higher) or −1 (lower). Summing and normalising these votes produces a single momentum score between −1 and +1 that reflects how broadly the move is supported across timescales. A score near +1 means price is up over nearly every horizon (a broad, persistent advance); near −1 means the opposite; near 0 means the horizons are split and there is no coherent trend.
That breadth-of-momentum score is more robust than any one lookback because agreement across many horizons is harder to fake than a single reading, and disagreement is surfaced honestly as a neutral score rather than hidden inside one arbitrary length.
How it works
1. The vote
A for loop runs from Min Horizon to Max Horizon, comparing the source against its value "i" bars ago and adding +1 or −1 for each horizon. The total is divided by the number of horizons, giving a normalised score in the range .
2. The regime.
The score is compared against two thresholds:
-- If it reaches the Long Threshold, the regime turns long.
-- If it falls to the Short Threshold, the regime turns short.
-- Between the thresholds the current regime is held, the tool does not flip on marginal readings.
3. The trailing stop
An offset equal to ATR Multiplier × ATR is placed on the correct side of price:
-- On a fresh long signal the stop is set below price; while the long regime persists it only ever ratchets upward, locking in progress and never loosening.
-- On a fresh short signal the stop is set above price; while short it only ratchets downward.
-- The regime flips, and the stop jumps to the other side when the opposite threshold is met.
Because the stop can only tighten in the direction of the trend, it behaves like a one-way ratchet that follows favourable moves and holds its ground against pullbacks until the vote itself reverses.
Signal logic and markers
-- The stop line is green while the regime is long (plotted beneath price) and red while short (plotted above price).
-- A green up-triangle marks each flip to long; a red down-triangle marks each flip to short.
-- Two alert conditions, Vote Stop Long and Vote Stop Short, fire on those flips so the regime changes can be wired to TradingView alerts.
Inputs
-- Source : the price series the vote is measured on (default: hl2, the bar midpoint, which is slightly steadier than close).
-- Min Horizon / Max Horizon : the shortest and longest lookbacks in the vote. A wider span blends more timescales into the score.
-- Long Threshold : how strong the bullish vote must be to turn the regime long. Higher values demand broader agreement before committing.
-- Short Threshold : how weak (negative) the vote must be to turn the regime short.
-- ATR Length : the lookback for the Average True Range used to size the stop offset.
-- ATR Multiplier : how far the stop sits from price, in ATR units. Larger values give the trend more room to breathe (fewer, later exits); smaller values keep the stop tighter (quicker exits, more flips).
Note that the two thresholds are independent, so the tool can be set asymmetrically for example, requiring a stronger vote to enter long than to flip short, or vice versa to reflect a directional bias or differing conviction on each side.
How to use it
-- Trend direction and stop management : the line's side and colour give the current regime at a glance, while its level offers a systematic, volatility-scaled trailing reference that adapts as ATR expands and contracts.
-- Entries and exits : the flip markers indicate when broad momentum has changed sides; the trailing line indicates where that thesis would be invalidated.
-- Volatility awareness : because the offset is ATR-based, the stop automatically widens in turbulent conditions and tightens in calm ones, rather than using a fixed distance.
Notes and limitations
-- This is a reactive, trend-following tool. It follows momentum that is already underway and will change sides after a reversal has begun, not before it. It does not predict future prices.
-- In ranging or choppy markets the vote can oscillate around the thresholds, producing repeated flips ("whipsaw"). Wider horizon spans, more separated thresholds, and a larger ATR multiplier reduce this at the cost of responsiveness.
-- The stop is a calculated reference level, not a guaranteed exit price; actual fills depend on your broker, slippage, and market conditions.
-- There is no universally correct setting; the horizon range, thresholds, and ATR multiplier should be adjusted to the instrument and timeframe you trade.
Originality
This is not a standard ATR trailing stop or SuperTrend clone. The direction that governs the stop is not derived from a single moving average or band, but from a cross-sectional vote computed in a loop across many momentum horizons. The ensemble vote and the ratcheting ATR stop are combined into one tool: the breadth of momentum decides the regime, and the volatility-scaled stop expresses that regime as an adaptive, one-way trailing level.
Disclaimer
This indicator is provided for educational and informational purposes only and does not constitute financial, investment, or trading advice, nor a recommendation to buy or sell any asset. It is a decision-support tool, not a trading system, and the trailing stop it draws is a reference level, not an order or a guaranteed exit. Trading and investing carry substantial risk, including the possible loss of all capital. Past behaviour of any indicator or market is not indicative of future results, and no representation is made that its signals will be profitable. You are solely responsible for your own trading decisions and should conduct your own research and consult a licensed financial professional where appropriate. The author accepts no liability for any loss or damage arising from the use of this script. 指标
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ADVANCE Smart Money Concepts WITH EMA [BY MR BASIT]Here is a professional English description for your Smart Money Concept indicator:
Smart Money Concept (SMC) Indicator
The Smart Money Concept (SMC) Indicator is a professional trading tool designed to help traders identify institutional market behavior and high-probability trading opportunities with a clean and easy-to-read chart layout.
This indicator combines the most important Smart Money Concept elements into a single system, including Market Structure Shift (MSS), Break of Structure (BOS), Change of Character (CHoCH), Order Blocks, Fair Value Gaps (FVG), Equal Highs (EQH), Equal Lows (EQL), Liquidity Zones, and session-based analysis.
Key Features:
• Automatic detection of Bullish and Bearish BOS and CHoCH.
• Identification of institutional Order Blocks and mitigation zones.
• Fair Value Gap (FVG) detection for imbalance trading opportunities.
• Equal High and Equal Low recognition for liquidity targeting.
• High and Low marking for important market levels.
• Clean and professional labels for improved chart readability.
• Integrated EMA 9 and EMA 15 for trend confirmation and trade filtering.
• Optimized for intraday, scalping, and swing trading strategies.
• Works across Forex, Indices, Commodities, and Cryptocurrency markets.
• Designed for TradingView with a focus on performance and visual clarity.
This indicator helps traders understand market structure from the perspective of institutional order flow, allowing for more informed trading decisions and better risk management.If you want, I can also create a shorter TradingView publish description or a premium-style commercial description for selling the indicator.
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Ha Smooth Scalperha smooth scalper
ha smooth scalper is a trend-following and scalping tool built around smoothed heikin-ashi logic, real structure trend locking, multi-timeframe confirmation, higher-timeframe filtering, protected structure levels, clean candle coloring, and a compact professional dashboard.
the goal of this indicator is to help traders stay with the real trend instead of reacting to every small candle color change.
in a strong bullish slope, the tool can keep the chart bullish until a real protected swing low is broken.
in a strong bearish slope, the tool can keep the chart bearish until a real protected swing high is broken.
this makes the trend view cleaner and helps reduce false flips during strong directional moves.
main concept
most candle-based systems change color too quickly.
a single weak red candle inside a strong bullish trend should not always mean the trend is bearish.
a single weak green candle inside a strong bearish trend should not always mean the trend is bullish.
ha smooth scalper solves this by combining:
smoothed heikin-ashi calculation
real structure lock
protected swing highs and swing lows
multi-timeframe agreement
extra higher-timeframe confirmation
trend cloud
optional smooth candle mode
professional dashboard
how the trend works
the indicator first builds smoothed heikin-ashi candles from the chart data.
then it uses a structure lock system to decide if the market is really bullish or bearish.
bullish trend
the market stays bullish while price respects the protected swing low.
small bearish candles inside the bullish slope do not automatically flip the trend.
the trend changes to bearish only when the protected support structure is broken.
bearish trend
the market stays bearish while price respects the protected swing high.
small bullish candles inside the bearish slope do not automatically flip the trend.
the trend changes to bullish only when the protected resistance structure is broken.
protected structure level
the protected structure line shows the key level that must break before the trend can truly change.
in a bullish trend, this level is usually below price.
in a bearish trend, this level is usually above price.
for beginners, this is one of the most important parts of the tool.
if the market is bullish and price stays above the protected structure, the bullish trend remains valid.
if the market is bearish and price stays below the protected structure, the bearish trend remains valid.
smooth lock candle mode
smooth lock candle mode is designed to keep chart colors aligned with the real structure trend.
when enabled:
bullish structure keeps candles bullish
bearish structure keeps candles bearish
minor counter-trend candles are ignored
color changes only happen after real structure breaks
this mode is useful for traders who want a cleaner trend view and fewer emotional exits.
multi-timeframe confirmation
the indicator includes six selectable timeframes.
each timeframe can be enabled or disabled.
the panel shows whether each selected timeframe is bullish or bearish.
the minimum timeframe agreement setting controls how many selected timeframes must agree before a signal is accepted.
example:
if six timeframes are enabled and the minimum agreement is set to three, at least three selected timeframes must agree with the signal direction.
higher values create fewer but cleaner signals.
lower values create more signals but with more risk of noise.
extra htf confirmator
the extra higher-timeframe confirmator is an additional filter designed to reduce weak buy and sell signals.
it can confirm direction using:
ema slope plus price
or heikin-ashi direction
when enabled, long signals require bullish higher-timeframe confirmation.
short signals require bearish higher-timeframe confirmation.
this is useful because many losing trades happen when lower-timeframe signals go against the larger trend.
signal logic
long signal
a long signal can appear when:
the structure flips bullish
enough selected timeframes agree
the extra htf confirmator agrees
the trend mode allows long entries
the impulse filter confirms body expansion
short signal
a short signal can appear when:
the structure flips bearish
enough selected timeframes agree
the extra htf confirmator agrees
the trend mode allows short entries
the impulse filter confirms body expansion
full confluence star
a star appears when all selected timeframes agree with the signal direction.
this is a stronger confluence condition, but it should still be used with proper risk management.
dashboard
the dashboard is designed to give a fast view of the market.
it shows:
chart trend
six timeframe directions
multi-timeframe agreement
extra htf confirmation
structure lock status
protected structure price
smooth lock candle state
last signal
the panel uses a clean grey professional style and can be moved around the chart.
how to use the indicator
step 1: check the chart trend
start with the first dashboard row.
if the chart trend is bullish, focus mainly on long setups.
if the chart trend is bearish, focus mainly on short setups.
beginners should avoid trading directly against the displayed structure trend.
step 2: check the protected level
look at the protected structure level.
in a bullish trend, this is the important level below price.
if price stays above it, the bullish structure remains valid.
in a bearish trend, this is the important level above price.
if price stays below it, the bearish structure remains valid.
step 3: check timeframe agreement
look at the six timeframe rows.
cleaner long conditions usually appear when most selected timeframes are bullish.
cleaner short conditions usually appear when most selected timeframes are bearish.
step 4: check the htf confirmator
if the extra htf confirmator is enabled, wait for it to agree with the trade direction.
bullish htf confirmation supports long setups.
bearish htf confirmation supports short setups.
step 5: wait for a signal
a long signal marks a bullish structure transition with confirmation.
a short signal marks a bearish structure transition with confirmation.
do not trade every signal blindly.
always check trend context, support and resistance, volatility, session timing, and risk placement.
beginner long example
1. chart trend is bullish
2. smooth lock candle mode shows bullish structure
3. most selected timeframes are bullish
4. extra htf confirmator is bullish
5. price holds above the protected structure level
6. a long signal appears
7. stop loss can be planned below the protected level or below a recent swing low
8. target can be based on resistance, previous high, or a fixed risk/reward plan
beginner short example
1. chart trend is bearish
2. smooth lock candle mode shows bearish structure
3. most selected timeframes are bearish
4. extra htf confirmator is bearish
5. price holds below the protected structure level
6. a short signal appears
7. stop loss can be planned above the protected level or above a recent swing high
8. target can be based on support, previous low, or a fixed risk/reward plan
important settings
pre-smooth length
controls the first smoothing applied to price before the heikin-ashi calculation.
lower values react faster.
higher values are smoother.
post-smooth length
controls smoothing after the heikin-ashi calculation.
higher values reduce noise and false movement.
lower values make the tool more reactive.
slow baseline length
controls the slow baseline used for trend context and pullback logic.
structure pivot strength
controls how strong a swing high or swing low must be before it can become a protected structure level.
lower values react faster.
higher values create stronger but slower structure levels.
structure break confirmation
close mode requires candle close beyond the protected level.
wick mode reacts faster but can be noisier.
structure break buffer
adds an atr buffer beyond the protected level before the structure is considered broken.
higher buffer creates fewer trend flips.
lower buffer creates faster flips.
minimum timeframes agreeing
controls how many enabled timeframes must agree before a signal is allowed.
higher values are stricter.
lower values are more aggressive.
extra htf confirmator
adds a higher-timeframe direction filter to help avoid weak lower-timeframe signals.
smooth lock candle mode
keeps the visible candle color aligned with the structure trend until a real structure break happens.
best beginner settings
for cleaner trend reading:
enable real structure trend lock: on
structure source: raw price
structure break confirmation: close
smooth lock candle mode: on
extra htf confirmator: on
use confirmed mtf candles: on
minimum timeframes agreeing: 3 or higher
glow baseline: off
confluence background tint: off
for faster scalping:
structure pivot strength: 6 to 8
minimum timeframes agreeing: 2 to 3
extra htf confirmator: on
smooth lock candle mode: on
for safer trend following:
structure pivot strength: 10 to 14
minimum timeframes agreeing: 4 to 6
extra htf confirmator: on
structure break buffer: higher value
alerts
the indicator includes alerts for:
long scalp
short scalp
full bull
full bear
structure bull break
structure bear break
for cleaner alerts, use once per bar close.
risk management
this tool helps identify trend direction and filtered signals, but risk management is still required.
before entering a trade, define:
entry
stop loss
target
position size
invalidated condition
a good signal without risk management can still become a bad trade.
final note
ha smooth scalper is designed to make trend direction cleaner, reduce false color flips, and help traders focus on higher-quality conditions using structure, smoothing, multi-timeframe alignment, and higher-timeframe confirmation.
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