[SkuldX] SFP Swing Failure PatternSkuldX Swing Failure Pattern — Institutional Liquidity Sweep Detector
by SkuldX Trading Systems
What is it?
SkuldX Swing Failure Pattern automatically detects one of the most powerful reversal setups in Smart Money and ICT trading. The Swing Failure Pattern occurs when price sweeps beyond a key swing level — triggering stop-loss orders clustered there — but then closes back within the previous range. This signals that institutional participants have absorbed the available liquidity and are now positioning in the opposite direction.
Unlike random false breakouts, the SFP has a precise structure: a meaningful wick beyond a swing high or low, a close that returns inside the range, and a visible rejection zone where the liquidity grab occurred. SkuldX SFP identifies all three automatically and displays them directly on the chart.
The mechanics
Every swing high and swing low acts as a magnet for stop-loss orders. Retail traders who are long place their stops just below swing lows. Retail traders who are short place their stops just above swing highs. Institutional participants know exactly where this liquidity sits.
An SFP forms when price is deliberately pushed beyond one of these levels to trigger those orders — collecting the liquidity — and then immediately reverses. The result is a candle with a long wick beyond the level and a close that returns inside the prior range. This is not a random failure. It is a deliberate liquidity grab followed by institutional repositioning in the opposite direction.
Two pattern types
🔴 Bearish SFP — price sweeps above a previous swing high with a wick but closes below it. The failed attempt to break higher signals that sellers have absorbed the bullish liquidity and are now in control. Expect a move downward.
🟢 Bullish SFP — price sweeps below a previous swing low with a wick but closes above it. The failed breakdown signals that buyers have absorbed the bearish liquidity and are now driving price higher.
What you see on the chart
Each detected SFP displays three visual elements simultaneously:
Label — appears above or below the candle with the signal direction and the exact price of the swept level. Instantly identifies the pattern without manual analysis.
Dashed line — marks the swing level that was breached. Extends from the beginning of the lookback window to the right, showing which structural level triggered the sweep. This level often acts as support or resistance in subsequent price action.
Rejection zone (box) — shaded area between the wick extreme and the swept level. This is the liquidity grab zone — the price range where stop orders were triggered and institutional positions were built. The size of this zone reflects how aggressively price was pushed beyond the level before reversing.
Quality filters
Two independent filters prevent low-quality signals from appearing on the chart.
Min Wick Size % of candle — requires the rejection wick to be at least a specified percentage of the total candle range. A small wick relative to the candle body suggests weak rejection. Default 0.5%. Increase to 2–3% on noisy instruments to require a more decisive rejection.
Min Breach Size % of level — requires the wick to extend at least a specified percentage beyond the swing level. A sweep that barely ticks beyond the level carries less significance than one that pushes meaningfully through it. Default 0.05%. Increase to 0.1–0.2% for stricter confirmation.
Both filters can be set to zero to show all detected patterns without filtering.
Settings reference
Swing Lookback (bars) — defines how many bars back to search for the swing high or low that gets swept. Default 10. Lower values find more local patterns, higher values require more significant swing levels. On 15m charts, 10 bars covers approximately 2.5 hours of price history.
Min Wick Size % of candle — minimum upper or lower wick as a percentage of the total candle range
Min Breach Size % of level — minimum distance the wick must extend beyond the swing level
Show Bullish / Bearish SFP — independent toggles for each direction
Show Labels — toggles the signal label above or below the candle
Show Level Line — toggles the dashed line at the swept swing level
Show Rejection Zone — toggles the shaded box between the wick and the level
Zone Extend — how many bars to the right the zone and line extend
Label Size — tiny, small, or normal
Bullish / Bearish Color — independent color control for each direction
Zone Transparency — opacity of the rejection zone fill
Line Width — thickness of the swept level line
Data Window
Hovering over any bar shows binary flags for Bullish SFP and Bearish SFP detection, the current swing high and swing low values used as reference levels, the upper and lower wick percentages, and the breach percentage of the swept level. These values are useful for calibrating the quality filters to your specific instrument and timeframe.
How to use it in practice
Entry timing — the SFP signal fires on the bar where the rejection occurs. The most aggressive entry is at the close of that candle. A more conservative approach is to wait for the next candle to confirm continuation in the reversal direction before entering.
Stop placement — place the stop-loss beyond the wick extreme, outside the rejection zone. The wick tip represents the furthest point of institutional manipulation — price returning beyond it invalidates the pattern.
Take-profit targets — common targets are the opposite swing extreme, a session High or Low from the current day, or the next significant structural level. The swept swing level itself often acts as resistance or support on the retest.
Timeframe selection — SFP signals are most reliable on 15m and above. On very low timeframes the pattern appears frequently but with lower conviction. On 1h and 4h the signals are rarer but carry significantly more institutional weight.
Confluence — the highest-probability SFP setups occur when the swept level coincides with a session boundary. A bearish SFP that sweeps the Asian High during London session is a classic institutional liquidity grab setup. A bullish SFP at Asian Low during the NY Overlap is one of the strongest intraday reversal signals available.
Volume context — a sweep accompanied by above-average volume confirms institutional participation. A low-volume sweep may indicate a thin market move rather than a deliberate liquidity grab.
Common mistakes to avoid
Entering immediately on the wick without waiting for the candle to close. The pattern is only valid after the close confirms the rejection — a candle that is still forming may yet close beyond the level as a genuine breakout.
Trading every SFP signal regardless of context. The pattern is significantly more reliable when it sweeps a level that has been respected multiple times previously, when it occurs during a high-liquidity session window, and when it aligns with the broader directional bias.
Using too small a lookback. A swing high from 3 bars ago carries far less liquidity than one from 10–15 bars ago. Increase the lookback if signals feel too frequent or structurally insignificant.
Built for SkuldX ecosystem
SkuldX Swing Failure Pattern is designed to work alongside the full SkuldX indicator suite. The most reliable SFP setups emerge when multiple layers of context align simultaneously:
A bullish SFP at the Asian Low after the Asian session closes — detected by SkuldX Trading Sessions — suggests institutional accumulation before London or NY drives price higher
A bearish SFP at the Asian High during London session with ADR Used % above 80% — from SkuldX ADR Levels — indicates both a liquidity sweep and statistical range exhaustion at the same level
An SFP confirmed by a Bullish Trend or Bearish Trend reading in SkuldX OI Delta adds institutional conviction — new positions opening in the reversal direction confirm the sweep was not random
An SFP that forms at a level already flagged by SkuldX Level Patterns as a multi-touch support or resistance zone carries significantly more weight than one at a fresh untested level
Each indicator in the suite adds an independent dimension of confirmation. Using them together reduces noise and improves the quality of setups without adding complexity to the decision process.
Indicator
Indicator
Mirage Liquidity Sweep Pro [WillyAlgoTrader]💧 Mirage Liquidity Sweep Pro is a free overlay toolkit that detects liquidity sweeps (stop-hunts), scores each one on a transparent 0-100 quality scale, optionally waits for a market-structure shift (CHoCH) to confirm, and then auto-builds a complete trade plan — wick-based stop, three take-profits, break-even logic, and a projected liquidity target — all on the bar the signal fires.
The core insight: price doesn't reverse at random support and resistance — it reverses where resting orders (liquidity) get consumed. A swing high above the market holds Buy-Side Liquidity (BSL); a swing low below it holds Sell-Side Liquidity (SSL). When price spikes through one of those levels and then closes back inside, that is a sweep: the move grabbed liquidity and rejected. Mirage finds those exact events, measures how clean the rejection was, and turns the strong ones into structured setups. It works on any market and any timeframe.
🧩 WHY THESE COMPONENTS WORK TOGETHER
A raw sweep detector fires on every wick that pokes a level — most of which go nowhere. A pure structure tool (CHoCH/BOS) tells you the trend flipped but not whether liquidity was actually taken first. A risk calculator gives you a stop and targets but has no idea where the trade should go. Used separately, each one leaves a gap the others could fill.
Mirage fuses them into a single pipeline:
Swing memory → Liquidity sweep detection → 5-factor quality score → CHoCH structure confirmation → Wick-anchored risk engine (SL / TP1-3 / break-even) → Liquidity target projection → Outcome tracking & stats
The swing engine remembers recent highs and lows and tags them as resting liquidity. The sweep detector only triggers when a level is pierced and reclaimed on the close — a stop-hunt, not a clean break. The quality score then rates that sweep so weak pokes are filtered out before they ever become signals. CHoCH confirmation (optional) makes price prove the reversal by breaking minor structure before you commit. The risk engine anchors the stop to the actual sweep wick — the precise point invalidating the idea — and projects the next opposite pool of liquidity as the logical objective. Finally, every closed setup is tracked so you can see the strategy's behavior in real time.
Without the score, you drown in low-quality sweeps. Without CHoCH, you front-run reversals that never come. Without wick-anchored risk, your stop sits in an arbitrary place. Without the liquidity target, you have no idea where the move is actually drawn. The combination is what turns "a wick touched a level" into a complete, rule-based trade.
🔍 WHAT MAKES IT ORIGINAL
1️⃣ 5-factor sweep quality score (0-100) — the heart of the system.
Every detected sweep is scored before it can qualify. The score blends five independent, normalized factors:
— 📐 Wick depth (weight 0.30): wickComp = min( max(wick, 0) / ATR , 1.0 ). For a bullish sweep, wick = min(open, close) − low; for bearish, wick = high − max(open, close). Bigger rejection wick relative to ATR = stronger grab.
— 🔄 Reclaim (weight 0.25): rclComp = min( max(reclaim, 0) / ATR , 1.0 ). Bullish reclaim = close − level; bearish = level − close. Measures how decisively price closed back on the right side of the swept level.
— 🕯️ Close position (weight 0.20): closePos = (close − low) / (high − low). For bulls the raw value is used; for bears it is inverted (1 − closePos). Rewards candles that close near the rejection extreme.
— 📊 Volume (weight 0.15): volComp = clamp( (volRatio − 1) / (volMult − 1) , 0, 1 ), where volRatio = volume / SMA(volume, 21) and volMult defaults to 1.5×. On volume-less feeds this factor neutralizes to 0.5 automatically.
— 🧭 HTF bias (weight 0.10): htfComp = 1.0 if the sweep aligns with the higher-timeframe EMA trend, else 0 (or 0.5 if the filter is off).
Final score = (wickComp×0.30 + rclComp×0.25 + cpComp×0.20 + volComp×0.15 + htfComp×0.10) × 100.
A sweep only qualifies when its score ≥ Min Sweep Score (default 50). This single number is your master quality dial.
2️⃣ Sweep vs. break distinction — closes decide everything.
A stored level is treated three ways. For a swing low: if price closes below it, the level is simply consumed (a real breakdown — no signal). If price wicks below but closes back above, that is a bullish sweep. The mirror logic applies to swing highs. This close-based rule is what separates a genuine liquidity grab from a trend break, and it is why the detector ignores most noise wicks.
3️⃣ Two-stage signal — sweep then CHoCH confirmation.
With confirmation on (default), a qualifying sweep becomes a pending setup rather than an instant entry. The signal only fires when price then breaks the most recent minor pivot (Change of Character) within the Confirmation Window (default 13 bars). Minor structure is tracked with its own pivot length (default 8). Turn confirmation off and the signal fires on the sweep bar itself — responsive, but earlier. Pending setups expire automatically if no CHoCH arrives in time.
4️⃣ Wick-anchored risk engine with a minimum-distance guard.
Entry = close of the signal bar. The stop is placed beyond the actual sweep wick:
— Long: SL = sweepLow − ATR×buffer
— Short: SL = sweepHigh + ATR×buffer
If the resulting stop sits closer than ATR×0.5 to entry, it is widened to exactly ATR×0.5 to avoid an unrealistically tight stop. Risk distance dist = |entry − SL|, and targets are pure R-multiples: TP1/TP2/TP3 = entry ± dist × multiplier.
5️⃣ Risk presets — one click from scalp to swing.
Five presets set buffer / TP1 / TP2 / TP3 instantly (SL buffer in ×ATR, TPs in R):
— Conservative: 0.50 / 1R / 2R / 4R
— Balanced (default): 0.25 / 1R / 2R / 3R
— Aggressive: 0.15 / 1.5R / 2.5R / 4R
— Scalping: 0.10 / 0.8R / 1.5R / 2R
— Custom: your own values
6️⃣ Break-even automation after TP1.
When TP1 is touched, the stop moves to entry. From the next bar a wick back to entry closes the trade at break-even — protecting the position once it has paid out its first target. The SL line dims and the entry label annotates "→ SL (BE)" so the state is always visible.
7️⃣ Resting liquidity map — BSL / SSL + EQH / EQL.
Every un-swept swing high is drawn as Buy-Side Liquidity and every un-swept swing low as Sell-Side Liquidity (most recent N per side, default 6). A level disappears the instant it is swept, so the map always shows live, untapped pools. Consecutive near-equal swings (within Equal H/L Tolerance × ATR, default 0.15) are connected as Equal Highs / Equal Lows — the strongest liquidity magnets and the most common sweep targets.
8️⃣ Liquidity target projection — the draw-on-liquidity objective.
On each entry, Mirage projects a line to the nearest opposite un-swept liquidity pool: a long aims at the closest BSL above entry, a short at the closest SSL below. This is the logical place the move is "drawn" toward, independent of the fixed R-multiple TPs.
9️⃣ Higher-timeframe bias as a soft, non-repainting filter.
The HTF trend (close vs. EMA, default 4H / EMA-50) is requested with confirmed prior-bar values and contributes only 10% of the score — it nudges quality rather than hard-blocking signals, so counter-trend sweeps can still fire if they are clean enough.
🔟 Honest, transparent outcome tracking.
The dashboard records every closed setup: wins, losses, win rate (with a visual gauge), and a recent-form strip of the last 10 results. A setup is counted as a WIN the moment TP1 is touched, and a trade closes on a stop-out or when TP3 is reached. This definition is stated openly so you always know exactly what the numbers mean — see Important Notes for the full caveats.
🧠 HOW IT WORKS — CALCULATION FLOW
Step 1 — Map the swings: Confirmed pivot highs/lows (length 21) are stored in bounded memory and tagged as un-swept BSL/SSL.
Step 2 — Detect a sweep: On each new bar, un-swept levels within Max Sweep Distance (default 80 bars) are checked. A wick-through-then-close-back-inside event is flagged as a sweep; a close beyond the level just marks it consumed.
Step 3 — Score it: The 5-factor formula rates the sweep 0-100. Only sweeps at or above Min Sweep Score, after warm-up, on a confirmed bar, qualify.
Step 4 — Resolve the signal: If CHoCH confirmation is on, the sweep becomes a pending setup and waits for a minor-structure break within the window; otherwise it fires immediately.
Step 5 — Build the trade: Entry, wick-based SL (with the ATR×0.5 minimum guard), and TP1/TP2/TP3 as R-multiples are calculated. Only one position runs at a time.
Step 6 — Manage it: Bar by bar, hits are checked on confirmed bars. TP1 triggers break-even; a stop-out or TP3 closes and records the result.
Step 7 — Visualize & report: Lines, labels, the liquidity map, the target projection, and the dashboard all update live.
📖 HOW TO USE (beginner-friendly)
🎯 Quick start — 5 steps:
1. Add the indicator to any chart and any timeframe (15m–4H is a good starting range).
2. Leave every setting on default. The Balanced preset and a Min Score of 50 are a sensible baseline.
3. Wait for a green Long ▲ or red Short ▼ marker. That is your entry signal — and it only appears once a sweep has passed the quality score (and, by default, a CHoCH confirmation).
4. Read the entry, stop, and three targets straight off the chart lines and labels. The numbers are already calculated for you.
5. Manage the trade using TP1/TP2/TP3 and the automatic break-even — see the dashboard for live status.
👁️ Reading the chart — what each thing means:
— 🟢 Long ▲ / 🔴 Short ▼ = a confirmed signal (a trade opened here).
— ✖️ Small × mark = a raw sweep (liquidity was grabbed) — shown even when no trade opens.
— Dashed level line = the swing high/low that was swept, drawn from where it formed.
— Thick vertical tick = the penetration depth — how far the wick pierced beyond the level.
— ENTRY line = where the trade opened. SL line (red) = stop. TP1/TP2/TP3 lines = targets; a target turns solid teal with a ✓ once touched.
— Gold dashed line "◎ Liquidity Target" = the nearest opposite liquidity pool the move is drawn toward.
— Dotted BSL / SSL lines = un-swept resting liquidity above (BSL) and below (SSL) — likely future sweep targets.
— EQH / EQL connectors = near-equal highs/lows = the strongest liquidity magnets.
— % on labels = distance from entry to each level, e.g. "SL 1.2300 (−0.36%)".
📊 Dashboard fields:
— Trend: direction of the most recent qualifying signal.
— HTF Bias: higher-timeframe EMA bias (the soft 10% score factor).
— Signal: LONG / SHORT when in a trade, "Wait" when flat (a new trade opens only while flat).
— Last sweep: most recent qualifying sweep and its 0-100 score.
— SL / TP1 / TP2 / TP3: live levels; ✓ marks a target already touched; "BE @" marks a stop moved to break-even.
— R:R (TP1): reward-to-risk at the first target.
— SL Dist %: stop distance as a percent of entry.
— Trades / W-L / Win rate / Form: session results, with a gauge and a ▰/▱ strip of the last 10 outcomes (newest on the right).
🔧 Tuning guide (common fixes):
— Too few signals? Lower Min Sweep Score (e.g. 40-45), shorten Swing Length, or turn off CHoCH confirmation for earlier entries.
— Too many weak signals? Raise Min Sweep Score (60+), keep CHoCH on, and enable the Volume filter.
— Stops feel too tight/wide? Switch presets (Conservative widens, Scalping tightens) or set the SL buffer manually in Custom.
— Choppy market? Increase Swing Length and lean on the HTF bias filter so only trend-aligned sweeps score highly.
💡 Trading ideas:
— EQH/EQL hunt: watch a marked Equal High/Low — when it is swept and reclaimed with a high score, the rejection is often clean.
— Draw-on-liquidity: use the gold target line as a partial-exit zone; price frequently reaches the next opposite pool.
— Confirmation toggle: use CHoCH-on for selective swing entries, CHoCH-off on lower timeframes for faster scalps.
— Bias stacking: take only signals whose direction matches the HTF Bias field for higher-conviction entries.
⚙️ KEY SETTINGS
⚙️ Main:
— Swing Length (default 21): pivot lookback for the liquidity pools to sweep. Higher = bigger, cleaner pools.
— Max Sweep Distance (default 80 bars): a swing can only be swept within this many bars of forming.
— Min Sweep Score (default 50): master quality gate, 0-100.
🧩 Confirmation:
— Require CHoCH Confirmation (default on): wait for a structure break after the sweep.
— Structure Pivot Length (default 8): minor pivots used to detect the CHoCH.
— Confirmation Window (default 13 bars): how long a pending setup waits before expiring.
🔍 Filters:
— Use Volume Filter (default on) / Volume MA Length (21) / Volume Spike ×MA (1.5).
— Use HTF Bias (default on) / HTF Timeframe (240) / HTF EMA Length (50).
🛡️ Risk Management:
— Risk Preset (default Balanced): Conservative / Balanced / Aggressive / Scalping / Custom.
— ATR Length (14) / SL Buffer ×ATR (0.25, Custom) / TP1/TP2/TP3 ×Risk (1.0 / 2.0 / 3.0, Custom).
— Break-Even After TP1 (default on), plus SL/TP line and label visibility, % distance, and line styles.
💧 Liquidity:
— Show Resting Liquidity (BSL/SSL) (on) / Max Levels / Side (6) / Line Extend (10 bars).
— Show Equal Highs/Lows (on) / Equal H/L Tolerance ×ATR (0.15) / Show Liquidity Target (on).
🎨 Visual & Dashboard:
— Theme (Auto / Dark / Light), raw sweep marks, swept-level line, penetration, signals, score labels, watermark, label font size.
— Dashboard position, font size, and Market / Trade / Stats section toggles.
🔔 ALERTS
— 🟢 LONG entry — ticker, timeframe, score, price, SL, TP1, TP2, TP3, R:R.
— 🔴 SHORT entry — same payload.
— 🛑 SL Hit (and 🛡️ Break-Even stop-out) — entry and stop levels.
— 🛡️ Break-Even activated — when the stop moves to entry.
— 🎯 TP1 / TP2 / TP3 touched — price at each target.
All alerts support plain-text and JSON webhook formats and fire on bar close (alert.freq_once_per_bar_close).
⚠️ IMPORTANT NOTES
— 🚫 No repainting. Signals require confirmed bars (barstate.isconfirmed); swing pivots use equal left/right lookback, so the actual pivot is in the past by Swing Length bars and is drawn only once confirmed — this is delayed confirmation, not repainting of future values. The HTF bias is requested with confirmed prior-bar values, and all alerts fire on bar close.
— 📊 How wins are counted: a setup is marked a WIN as soon as TP1 is touched (1R by default). A trade that reaches TP1 and then reverses to break-even still counts as a win. This is a deliberately transparent definition, not an inflated one — read it that way when interpreting the win rate.
— 📐 Stats are session-based and simulated. The dashboard reflects the indicator's own single-position logic on the loaded history and resets when the chart reloads. It is not a broker-accurate backtest and includes no fees, slippage, or funding.
— ⚖️ One position at a time. A new signal can only open while flat — sweeps that occur mid-trade are shown but not traded.
— 🛠️ This is an analysis tool, not an automated trading bot. It detects sweeps, scores them, confirms with structure, and builds a structured trade plan — trade decisions remain yours.
— 🌐 Universal. Works on all markets and all timeframes. Volume-dependent scoring auto-neutralizes on feeds without volume.
Free to use — add it to your chart and explore. Feedback and feature requests are welcome. Indicator
Swing Failure Pattern (SFP) - Advanced & ImprovedSwing Failure Pattern (SFP) automatically detects liquidity sweeps on your chart — bars that wick past a prior swing high or low and close back inside it — and marks them with labels, swept level lines, and optional retest tracking.
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WHAT IS AN SFP?
Every significant swing high and low on your chart has a cluster of orders sitting just beyond it. Stop losses from traders who are long, buy stops from traders waiting for a breakout, limit orders placed at round numbers. All of that sitting at one level is called liquidity.
An SFP is what happens when the market reaches that level, triggers all those orders, and then immediately reverses. Price makes a new high or low — just enough to sweep the liquidity — then snaps back and closes on the other side of the level.
Bullish SFP — wick below a prior swing low, close back above it. The sell stops below that level got triggered. The sellers who just got filled are now trapped. Price is labeled below the wick.
Bearish SFP — wick above a prior swing high, close back below it. The buy stops above that level got triggered. The buyers who just got filled are now trapped. Price is labeled above the wick.
SFP+ and SFP++ — the same wick swept 2 or 3 stacked swing levels at once. More liquidity was grabbed in a single move, which tends to produce a stronger and more sustained reversal.
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HOW THE DETECTION WORKS
The indicator tracks the most recent swing highs and lows using pivot detection (configurable lookback, stored up to max_age days). Each closed bar is checked against all stored pivots:
The wick must exceed the pivot level by at least the minimum sweep size (ATR-based) to filter out micro-wicks that barely graze the level.
The close must reject back past the swept level with a minimum close position (top or bottom X% of the bar), filtering weak closes near the middle.
Optionally, the bar must have above-average volume — real stop hunts typically show a volume spike.
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WHEN IT DOES NOT WORK
An SFP is a liquidity event, not a reversal guarantee. Two conditions reduce its reliability significantly:
Trading against a strong trend. A bearish SFP in the middle of a powerful uptrend often produces only a brief pause before the move continues. The stop hunt happened, but the underlying demand is too strong to reverse. The HTF Trend Filter setting exists for this reason — enabling it filters SFPs that go against the higher timeframe EMA direction.
No supporting context at the level. An SFP that fires at a random mid-range price tends to fail more often than one that occurs at a meaningful confluence of levels — a weekly high, a significant VWAP, a well-established volume node, or a clean structural area that multiple timeframes agree on. The signal is the same but the odds are different. Using this indicator alongside tools that measure level significance will separate the high-quality setups from the noise.
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SETTINGS
Pivot Detection
Intraday pivot bars — confirmation bars required on each side for intraday timeframes (1m to 4H). Default 8.
HTF pivot bars — confirmation bars for Daily and above. Default 3. Kept lower because daily swings are structurally significant with less confirmation needed.
Max pivots stored — how many recent swing levels are tracked per side. Default 5.
Max pivot age (days) — levels older than this are expired. Default 20.
Filters
Min sweep size — wick must exceed the level by at least this ATR multiple.
Min close position % — for bullish SFP, close must be in the top X% of the bar. For bearish, the bottom X%.
Volume confirmation — optionally require above-average volume on the SFP bar.
HTF Trend Filter
When enabled, bullish SFPs only show during uptrends and bearish SFPs only during downtrends, defined by price relative to a configurable EMA on a higher timeframe.
Session Filter
Optionally restrict signals to the London open and NY open windows (UTC hours, fully configurable). SFPs during these windows tend to be institutionally driven rather than low-liquidity noise.
Retest Tracking
After an SFP fires, the swept level is stored. If price later returns to that level and holds, a small R label marks the retest candle. The retest is often a cleaner entry than the SFP candle itself.
Display
Draw swept level lines — dashed line from the original pivot bar to the SFP bar, showing which level was grabbed.
Show tracked pivot levels — draws all currently tracked pivots as dashed lines so you can watch levels in real time before an SFP forms.
Remove pivot when swept — cleans up the level from storage once it has been used.
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RECOMMENDED TIMEFRAME
Works on all timeframes. Pivot bars auto-adjust between intraday and HTF values. Most actionable on 1H to 4H for intraday setups and Daily for swing trading.
Indicator
Swing Liquidity ZonesSwing Liquidity Zones is a chart overlay for marking confirmed swing highs and swing lows, then building wick-based liquidity zones from those swing candles.
The indicator focuses on price action structure. It highlights the upper wick of confirmed swing highs as buy-side liquidity areas and the lower wick of confirmed swing lows as sell-side liquidity areas. These zones help keep important historical wick areas visible on the chart without manually drawing them.
What it shows
Confirmed swing highs and swing lows;
Buy-side liquidity zones above swing high candle bodies;
Sell-side liquidity zones below swing low candle bodies;
Zones extended forward on the chart;
Filled and unfilled parts of each zone;
Optional estimated wick value based on OHLCV data;
Optional clean swing filter for a less crowded structure view.
How the zones are built
When a swing high is confirmed, the script uses the area between the pivot candle body top and the candle high to create an upper liquidity zone. When a swing low is confirmed, the script uses the area between the pivot candle body bottom and the candle low to create a lower liquidity zone.
The result is a visual map of swing wick areas that traders can review later when price returns to previous highs, previous lows, rejection areas, or important structure points.
Swing confirmation
The script uses pivot logic. A swing is confirmed only after the required number of candles has closed on the right side of the pivot.
Because of this, zones appear after confirmation and are plotted back on the pivot candle for visual clarity. This is normal behavior for pivot-based tools and helps avoid marking swings before they are confirmed.
Clean swing filter
The optional clean swing filter helps reduce noise by keeping a more structured sequence of swings.
If several swing highs appear before a swing low is confirmed, the script keeps the highest swing high. If several swing lows appear before a swing high is confirmed, the script keeps the lowest swing low.
The filter can also use minimum bar spacing and ATR-based distance, so very small structure changes are less likely to clutter the chart.
Zone tracking
After a zone is created, it extends to the right as new candles form. When price trades back into a zone, the script adjusts the zone to show which part has already been traded through and which part remains unfilled.
Filled areas can be hidden for a cleaner view or displayed separately, depending on the user settings.
Estimated wick value
The script can show an estimated wick value for each zone.
This estimate is calculated from candle volume, wick size relative to the candle range, and the approximate midpoint price of the wick. It is intended only as a relative comparison between zones.
A larger wick with higher candle volume may display a larger value than a smaller wick with lower volume. The value should not be treated as an exact measurement of real market liquidity or available orders.
How to use it
Swing Liquidity Zones is best used as a visual structure and planning tool.
Traders may compare the zones with higher timeframe direction, support and resistance, session highs and lows, VWAP, volume behavior, candle closes, market structure shifts, fair value gaps, order blocks, trend context, and invalidation levels.
A zone by itself is not a trade signal. It is an area of interest that should be reviewed together with a complete trading plan and independent confirmation.
Limitations and Disclaimer
Swing Liquidity Zones is intended for educational and analytical use only.
The indicator does not provide financial advice, investment advice, trade recommendations, entry signals, exit signals, stop loss levels, take profit levels, or guaranteed outcomes.
The zones are created from confirmed pivot candle wick areas and standard OHLCV chart data. They do not represent live exchange liquidity, order book depth, resting orders, liquidation levels, or the exact location of market participant orders.
Swing points are confirmed with delay because the script uses pivot logic. Estimated wick values depend on the quality of the symbol’s volume data and should only be used as a relative visual reference.
Trading and investing involve risk. Every trader is responsible for their own analysis, risk management, execution, and financial decisions.
Indicator
SFP Trend & VWAP Liquidity Pro [Zofesu]SFP Trend & VWAP Liquidity Pro is an overlay indicator that combines three concepts into a unified liquidity sweep detection system: Swing Failure Pattern detection, real-time swing high/low liquidity tracking, and dual independent trend filtering via VWAP or MA.
The three components are interdependent — SFP signals are only valid when the sweep direction aligns with both trend filters. Without the filters, SFP signals are too frequent and unreliable. Without the SFP engine, the filters alone are standard trend tools. The combination produces high-probability reversal entries at institutional liquidity levels.
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01 — What is STVL Pro?
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STVL Pro detects Swing Failure Patterns (SFP) — moments when price sweeps beyond a prior swing high or low, trapping breakout traders, then closes back inside the range. These are classic institutional liquidity grabs at known stop-loss clusters.
The indicator tracks the most recent swing high and low in real time, draws them as horizontal liquidity lines, and fires a BULL or BEAR SFP label only when:
— A liquidity sweep is detected AND
— Both trend filters confirm the reversal direction
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02 — Why This Combination?
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SFP patterns occur at all swing highs and lows — most are low quality. The dual VWAP/MA filter solves this by requiring the sweep to occur in a context where institutional bias supports the reversal.
Example: A bullish SFP (sweep below swing low, close back above) is only labeled if price is also above both Filter A and Filter B. This confirms the sweep happened in a bullish macro context — not against the institutional trend.
This filtering approach significantly reduces false signals compared to raw SFP detection.
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03 — SFP Engine
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The script tracks market structure using a configurable Swing Lookback Period (default 150 bars).
Bullish SFP conditions:
— Current low < last swing low
— Current close > last swing low
— Previous low > last swing low (first bar to breach)
Bearish SFP conditions:
— Current high > last swing high
— Current close < last swing high
— Previous high < last swing high (first bar to breach)
This three-condition check ensures only clean, confirmed sweeps trigger — not extended wicks or multi-bar breaches.
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04 — Dual Trend Filter (Filter A & B)
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Two independent filters run simultaneously. Each can be set to:
VWAP — Anchored to Session, Week, Month, or Year.
HMA — Hull Moving Average for smooth trend detection.
EMA — Exponential MA for faster trend response.
SMA — Simple MA for clean institutional levels.
Off — Disable filter for raw SFP tracking.
Default: Both filters set to VWAP (Session anchor).
Filter A length: 2000 | Filter B length: 5000
The two filters use different sensitivities intentionally — Filter A is faster, Filter B is slower. A signal requires both to agree, providing multi-scale trend confirmation.
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05 — Visuals
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BULL SFP label (green) — bullish sweep confirmed by both filters
BEAR SFP label (red) — bearish sweep confirmed by both filters
Upper Liquidity Line (red) — current swing high being monitored
Lower Liquidity Line (green) — current swing low being monitored
Filter A line — color changes based on price position relative to filter
Filter B line — color changes based on price position relative to filter
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06 — Settings
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Filter A / B Type — VWAP, HMA, EMA, SMA, or Off
Filter A / B Length — smoothing period when using MA types
VWAP Reset (Anchor) — Session, Week, Month, Year, None
Swing Lookback Period — default 150 bars
For scalping: reduce Lookback to 50–75, use Session VWAP.
For swing trading: keep 150+ lookback, use Month or Year VWAP anchor.
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07 — How To Use
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Step 1 — Monitor the red and green liquidity lines
These represent the current swing high and low being watched.
Step 2 — Watch for a sweep
Price moves beyond the line — this is the potential SFP forming.
Step 3 — Wait for the label
BULL or BEAR SFP label appears only on confirmed close back inside the range with both filters aligned. Do not anticipate — wait for the closed candle.
Step 4 — Enter on the next candle
The label appears on the sweep candle after close. Entry is on the opening of the next candle with SL beyond the sweep wick.
Works on all asset classes: Indices, Forex, Gold, Oil, Crypto.
Best timeframes: H1, H4, D1. Indicator
cd_sfp_CxGeneral:
This indicator is designed to assist users who trade the Swing Failure Pattern ( SFP ).
In technical literature (various definitions exist), an SFP is a situation where the price violates a previous swing level but fails to close beyond that level.
• (Liquidity Sweep)
• (Buyer or seller dominance)
• (Stop hunt)
• (Turtle Soup)
The general strategy is built upon seeking trade opportunities after an SFP is formed and conviction is established that the market direction has changed.
Components used to gather confirmation:
• Determining Bias: Periodic SAR
• Obtaining Breakout/Reversal Confirmation: Change in State Delivery (CISD)
• Defining the Buyer/Seller Block (Supply/Demand Zones): Mitg Blocks (Mitigation Blocks), FVG (Fair Value Gaps), and Standard Deviation Projection
• Key Levels: Previous HTF (Higher Time Frame) levels
• Setting Targets: Standard Deviation Projection
• Trade Management: Anchored VWAP and opposing blocks
• Time-Based Context: Session Killzone times
• Notifications: An alarm/alert system will be utilized to stay informed.
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Details:
Swing and Swing Failure Pattern:
Swing Sweep Types (Liquidity Sweep):
1. Single
2. Consecutive (The liquidity of the entity that swept the liquidity is being swept)
Bias Determination
We need to filter out the numerous SFPs that occur across all time frames. Our first strong filter will be the Bias. We will only look for trades aligned with our bias.
We will use Periodic SAR (Stop and Reverse) to determine the bias. We compare the price with the SAR value from a Higher Time Frame than the one we are trading on.
• Price > SAR => Bullish Bias
• Price < SAR => Bearish Bias
Depending on the pair, H1 SAR may be chosen for scalp trades, and Daily/Weekly SAR for intraday and swing trades.
Key Levels
Strategies looking for trades after a liquidity grab generally state that the sweep / stop hunt movement should occur at a significant price level.
The most fundamental Key Level levels are (User can customize):
• Previous Week High & Low
• Previous Day High & Low
• Previous H4 High & Low
• Previous H1 High & Low
• Asia Killzone High & Low
• London Killzone High & Low
• New York Killzone High & Low
• Monday Range High & Low values
We will prefer SFP formations that occur when these levels are swept. When Key Levels are violated, an information label appears on the screen.
Blocks / Zones
To strengthen our hand, we will use three types of blocks/zones, either with Key Levels or separately. When an SFP structure is formed in these areas (along with bias and breakout confirmation), our expectation is for the price to continue in our desired direction. These regions are:
1. Mitigation Blocks (Mtg)
o (Details can be found in the cd_VWAP_mtg_Cx indicator)
o In short: A second candle, following a bullish candle, crosses its high but fails to close above it. We call this a sweep / SFP. When the price, which was expected to go to the low, instead makes a new high/close, an Mtg block is formed. (Buyers are dominant)
2. FVGs (Fair Value Gaps)
o We use classic FVG structures.
3. Standard Deviation Projection Boxes
o When we get an SFP structure + breakout confirmation (CISD), we use the Standard Deviation Projection to determine our profit-taking and take-profit levels.
o Based on the idea that the price often respects the range between -2 and -2.5 of the projection values, we box this range and use it as our area of interest. (Our expectation is for the price to reverse after reaching this target).
o Let's mark it on the chart.
Confirmation
To summarize what has been explained so far: we look for the price to form an SFP structure in levels/zones we deem important, aligned with our bias, and for the breakout to be confirmed with a CISD.
No single component is strong on its own, but the success rate increases when they occur together.
We observe the following as additional confirmation along with the CISD: a new Mtg block forming in the direction of the breakout, high-volume movement (with FVG and a large body), and respect for VWAPs, the resistance/support line, and the defense block.
Additional Confirmations with Breakouts:
• Defence block, new mtg and VWAP
• Resistance / Support Line:
Indicator Signals
The indicator marks all formed sweeps, selected key levels, blocks, the projection, and CISD confirmations on the screen. The candle where the CISD confirmation occurs is indicated by an arrow.
• Arrows with double short lines signify a CISD that follows an SFP occurring at a Key Level.
• All other CISD candle indications are shown with single-line arrows.
Trade Management
When selecting profit targets in trades (preferably), the projection, opposing blocks, and structures that have formed are taken into account. Do not neglect to look at the structures that have formed against you when entering a trade.
Menu Settings:
• For Mtg blocks, the trading timeframe or a higher timeframe can be selected.
• FVGs formed in the current timeframe are displayed when the price creates an SFP (in "Fvg" option).
• Deviation boxes are displayed when the price creates an SFP (in box).
• The SAR HTF setting (H1) for scalp trades may vary depending on the pair. Users trying trades on higher timeframes should increase the HTF setting.
o Example: If you are looking for a trade with an SFP structure on H1, the SAR HTF setting should be H4 or higher.
• VWAP lines are refreshed starting from the candle that executed the sweep when the price forms an SFP. The only setting to adjust is the source selection setting (hlc3 is selected).
• Time frames and Killzone / Special Zone settings for Key Levels can be changed/should be checked.
Alarms / Alerts:
The conditions that will trigger an alert can be selected from the menu.
• To receive an alert aligned with the bias, the "Alignment with bias" checkbox must be selected.
• The alert should be set on the timeframe where you plan to enter the trade.
• The display options do not affect the alarm conditions. (Example: FVGs are monitored even when the menu selection is "off").
• If the necessary conditions are met, the alarm is triggered on the new candle that opens after the CISD confirmation.
• The alarm will not be triggered more than once at the same Key Level.
The user can preferably select alerts:
• Bias-aligned or Bias-independent
• Sweep (without waiting for CISD)
• Sweep + CISD (without looking for other conditions)
• Sweep + Key Level + CISD (the swept level is a Key Level)
• Sweep + Mtg / Fvg / Dev. + CISD (SFP formed in any of the blocks)
• Sweep + Mtg + CISD (SFP formed in the Mtg block)
• Sweep + Fvg + CISD (SFP formed inside the FVG)
• Sweep + Deviation Box + CISD (SFP formed inside the Dev. Box)
• Sweep + Key Level + Mtg / Fvg / Dev. + CISD (SFP formed simultaneously at a Key Level and any of the blocks)
Trade Example:
• Conditions: Bias-aligned + Sweep + Mtg/Fvg/Dev (at least one) + CISD
• Extra Confirmations: Respect for the Defense Block + Respect for VWAP
• Target (TP): Projection between -2 and -2.5
I welcome your thoughts and suggestions regarding my indicator, which I believe will be successful in the long run by adhering to uncompromising risk management and a strict trading plan.
Happy Trading!
Indicator
Structural Liquidity Signals [BullByte]Structural Liquidity Signals (SFP, FVG, BOS, AVWAP)
Short description
Detects liquidity sweeps (SFPs) at pivots and PD/W levels, highlights the latest FVG, tracks AVWAP stretch, arms percentile extremes, and triggers after confirmed micro BOS.
Full description
What this tool does
Structural Liquidity Signals shows where price likely tapped liquidity (stop clusters), then waits for structure to actually change before it prints a trigger. It spots:
Liquidity sweeps (SFPs) at recent pivots and at prior day/week highs/lows.
The latest Fair Value Gap (FVG) that often “pulls” price or serves as a reaction zone.
How far price is stretched from two VWAP anchors (one from the latest impulse, one from today’s session), scaled by ATR so it adapts to volatility.
A “percentile” extreme of an internal score. At extremes the script “arms” a setup; it only triggers after a small break of structure (BOS) on a closed bar.
Originality and design rationale, why it’s not “just a mashup”
This is not a mashup for its own sake. It’s a purpose-built flow that links where liquidity is likely to rest with how structure actually changes:
- Liquidity location: We focus on areas where stops commonly cluster—recent pivots and prior day/week highs/lows—then detect sweeps (SFPs) when price wicks beyond and closes back inside.
- Displacement context: We track the last Fair Value Gap (FVG) to account for recent inefficiency that often acts as a magnet or reaction zone.
- Stretch measurement: We anchor VWAP to the latest N-bar impulse and to the Daily session, then normalize stretch by ATR to assess dislocation consistently across assets/timeframes.
- Composite exhaustion: We combine stretch, wick skew, and volume surprise, then bend the result with a tanh transform so extremes are bounded and comparable.
- Dynamic extremes and discipline: Rather than triggering on every sweep, we “arm” at statistical extremes via percent-rank and only fire after a confirmed micro Break of Structure (BOS). This separates “interesting” from “actionable.”
Key concepts
SFP (liquidity sweep): A candle briefly trades beyond a level (where stops sit) and closes back inside. We detect these at:
Pivots (recent swing highs/lows confirmed by “left/right” bars).
Prior Day/Week High/Low (PDH/PDL/PWH/PWL).
FVG (Fair Value Gap): A small 3‑bar gap (bar2 high vs bar1 low, or vice versa). The latest gap often acts like a magnet or reaction zone. We track the most recent Up/Down gap and whether price is inside it.
AVWAP stretch: Distance from an Anchored VWAP divided by ATR (volatility). We use:
Impulse AVWAP: resets on each new N‑bar high/low.
Daily AVWAP: resets each new session.
PR (Percentile Rank): Where the current internal score sits versus its own recent history (0..100). We arm shorts at high PR, longs at low PR.
Micro BOS: A small break of the recent high (for longs) or low (for shorts). This is the “go/no‑go” confirmation.
How the parts work together
Find likely liquidity grabs (SFPs) at pivots and PD/W levels.
Add context from the latest FVG and AVWAP stretch (how far price is from “fair”).
Build a bounded score (so different markets/timeframes are comparable) and compute its percentile (PR).
Arm at extremes (high PR → short candidate; low PR → long candidate).
Only print a trigger after a micro BOS, on a closed bar, with spacing/cooldown rules.
What you see on the chart (legend)
Lines:
Teal line = Impulse AVWAP (resets on new N‑bar extreme).
Aqua line = Daily AVWAP (resets each session).
PDH/PDL/PWH/PWL = prior day/week levels (toggle on/off).
Zones:
Greenish box = latest Up FVG; Reddish box = latest Down FVG.
The shading/border changes after price trades back through it.
SFP labels:
SFP‑P = SFP at Pivot (dotted line marks that pivot’s price).
SFP‑L = SFP at Level (at PDH/PDL/PWH/PWL).
Throttle: To reduce clutter, SFPs are rate‑limited per direction.
Triggers:
Triangle up = long trigger after BOS; triangle down = short trigger after BOS.
Optional badge shows direction and PR at the moment of trigger.
Optional Trigger Zone is an ATR‑sized box around the trigger bar’s close (for visualization only).
Background:
Light green/red shading = a long/short setup is “armed” (not a trigger).
Dashboard (Mini/Pro) — what each item means
PR: Percentile of the internal score (0..100). Near 0 = bullish extreme, near 100 = bearish extreme.
Gauge: Text bar that mirrors PR.
State: Idle, Armed Long (with a countdown), or Armed Short.
Cooldown: Bars remaining before a new setup can arm after a trigger.
Bars Since / Last Px: How long since last trigger and its price.
FVG: Whether price is in the latest Up/Down FVG.
Imp/Day VWAP Dist, PD Dist(ATR): Distance from those references in ATR units.
ATR% (Gate), Trend(HTF): Status of optional regime filters (volatility/trend).
How to use it (step‑by‑step)
Keep the Safety toggles ON (default): triggers/visuals on bar‑close, optional confirmed HTF for trend slope.
Choose timeframe:
Intraday (5m–1h) or Swing (1h–4h). On very fast/thin charts, enable Performance mode and raise spacing/cooldown.
Watch the dashboard:
When PR reaches an extreme and an SFP context is present, the background shades (armed).
Wait for the trigger triangle:
It prints only after a micro BOS on a closed bar and after spacing/cooldown checks.
Use the Trigger Zone box as a visual reference only:
This script never tells you to buy/sell. Apply your own plan for entry, stop, and sizing.
Example:
Bullish: Sweep under PDL (SFP‑L) and reclaim; PR in lower tail arms long; BOS up confirms → long trigger on bar close (ATR-sized trigger zone shown).
Bearish: Sweep above PDH/pivot (SFP‑L/P) and reject; PR in upper tail arms short; BOS down confirms → short trigger on bar close (ATR-sized trigger zone shown).
Settings guide (with “when to adjust”)
Safety & Stability (defaults ON)
Confirm triggers at bar close, Draw visuals at bar close: Keep ON for clean, stable prints.
Use confirmed HTF values: Applies to HTF trend slope only; keeps it from changing until the HTF bar closes.
Performance mode: Turn ON if your chart is busy or laggy.
Core & Context
ATR Length: Bigger = smoother distances; smaller = more reactive.
Impulse AVWAP Anchor: Larger = fewer resets; smaller = resets more often.
Show Daily AVWAP: ON if you want session context.
Use last FVG in logic: ON to include FVG context in arming/score.
Show PDH/PDL/PWH/PWL: ON to see prior day/week levels that often attract sweeps.
Liquidity & Microstructure
Pivot Left/Right: Higher values = stronger/rarer pivots.
Min Wick Ratio (0..1): Higher = only more pronounced SFP wicks qualify.
BOS length: Larger = stricter BOS; smaller = quicker confirmations.
Signal persistence: Keeps SFP context alive for a few bars to avoid flicker.
Signal Gating
Percent‑Rank Lookback: Larger = more stable extremes; smaller = more reactive extremes.
Arm thresholds (qHi/qLo): Move closer to 0.5 to see more arms; move toward 0/1 to see fewer arms.
TTL, Cooldown, Min bars and Min ATR distance: Space out triggers so you’re not reacting to minor noise.
Regime Filters (optional)
ATR percentile gate: Only allow triggers when volatility is at/above a set percentile.
HTF trend gate: Only allow longs when the HTF slope is up (and shorts when it’s down), above a minimum slope.
Visuals & UX
Only show “important” SFPs: Filters pivot SFPs by Volume Z and |Impulse stretch|.
Trigger badges/history and Max badge count: Control label clutter.
Compact labels: Toggle SFP‑P/L vs full names.
Dashboard mode and position; Dark theme.
Reading PR (the built‑in “oscillator”)
PR ~ 0–10: Potential bullish extreme (long side can arm).
PR ~ 90–100: Potential bearish extreme (short side can arm).
Important: “Armed” ≠ “Enter.” A trigger still needs a micro BOS on a closed bar and spacing/cooldown to pass.
Repainting, confirmations, and HTF notes
By default, prints wait for the bar to close; this reduces repaint‑like effects.
Pivot SFPs only appear after the pivot confirms (after the chosen “right” bars).
PD/W levels come from the prior completed candles and do not change intraday.
If you enable confirmed HTF values, the HTF slope will not change until its higher‑timeframe bar completes (safer but slightly delayed).
Performance tips
If labels/zones clutter or the chart lags:
Turn ON Performance mode.
Hide FVG or the Trigger Zone.
Reduce badge history or turn badge history off.
If price scaling looks compressed:
Keep optional “score”/“PR” plots OFF (they overlay price and can affect scaling).
Alerts (neutral)
Structural Liquidity: LONG TRIGGER
Structural Liquidity: SHORT TRIGGER
These fire when a trigger condition is met on a confirmed bar (with defaults).
Limitations and risk
Not every sweep/extreme reverses; false triggers occur, especially on thin markets and low timeframes.
This indicator does not provide entries, exits, or position sizing—use your own plan and risk control.
Educational/informational only; no financial advice.
License and credits
© BullByte - MPL 2.0. Open‑source for learning and research.
Built from repeated observations of how liquidity runs, imbalance (FVG), and distance from “fair” (AVWAPs) combine, and how a small BOS often marks the moment structure actually shifts. Indicator
ICT Setup 04 [TradingFinder] SFP Sweep Liquidity Fake CHoCH/BOS🔵 Introduction
In smart money and ICT based trading, liquidity is never random. Some of the most meaningful market moves begin with a liquidity sweep where price intentionally hunts a previous swing high or swing low to trigger stop loss orders and absorb volume.
This manipulation is often followed by a sharp reversal from a reaction zone, creating ideal conditions for a high probability entry. This indicator is built to detect exactly that. It identifies a valid swing point and defines a reaction zone where price is likely to react.
For short setups, the zone lies between the swing high and the maximum of the candle’s open or close. For long setups, it’s drawn from the swing low to the minimum of the open or close.
When price returns to this zone and forms a qualified confirmation candle typically a doji or a small bodied candle that closes inside the zone while sweeping the liquidity this is a potential sign of reversal.
The candle must show both the sweep and the inability to hold above or below the key level, signaling a fake breakout or failed move. By combining elements of liquidity hunt, reaction zone rejection, and candle based entry confirmation, this tool highlights sniper entry points used by smart money to trap retail traders and reverse the trend. It helps filter out noise and enhances timing, making it ideal for trading in alignment with institutional order flow.
Long Position :
Short Position :
🔵 How to Use
This indicator is designed to highlight precise moments where price sweeps liquidity and reacts within a high probability reversal zone. By identifying clean swing highs and lows and defining a smart reaction zone around them, it filters out weak fakeouts and focuses only on setups with strong institutional footprints.
The tool works best when combined with market structure analysis and is suitable for both scalping and intraday trading. Below is a breakdown of how to interpret the signals for long and short positions based on the visual setups provided.
🟣 Long Setup
In a long setup, the indicator first detects a valid swing low where liquidity has likely accumulated below. A reaction zone is then drawn between the swing low and the minimum of the open or close of the swing candle.
When price returns to this zone, it must sweep the previous low and form a precise confirmation candle, such as a doji or a small bodied candle, that closes inside the zone. This candle must also reject the lower level, showing failure to continue downward.
As shown in the chart, once the liquidity grab is complete and the confirmation candle forms, a clean long signal is issued, indicating a potential bullish reversal backed by smart money behavior.
🟣 Short Setup
In a short setup, the indicator identifies a swing high where buy-side liquidity is resting. It then constructs a reaction zone between the high and the maximum of the open or close of the swing candle. Price must return to this zone, sweep the swing high, and form a bearish confirmation candle inside the zone.
A classic example is a doji or rejection candle that traps breakout buyers and fails to hold above the previous high. In the provided chart, the price aggressively hunts the liquidity above the swing high, but the close within the reaction zone signals exhaustion, prompting a short signal with high reversal probability.
These setups represent moments where price action, liquidity behavior, and candle structure align to offer strong entries. By focusing on clean sweeps and reactive confirmations, the indicator helps traders stay on the side of smart money and avoid common breakout traps.
🔵 Settings
🟣 Logical settings
Swing period : You can set the swing detection period.
Max Swing Back Method : It is in two modes "All" and "Custom". If it is in "All" mode, it will check all swings, and if it is in "Custom" mode, it will check the swings to the extent you determine.
Max Swing Back : You can set the number of swings that will go back for checking.
Maximum Distance Between Swing and Signal :The maximum number of candles allowed between the swing point and the potential signal. The default value is 50, ensuring that only recent and relevant price reactions are considered valid.
🟣 Display settings
Displaying or not displaying swings and setting the color of labels and lines.
🟣 Alert Settings
Alert SFP : Enables alerts for Swing Failure Pattern.
Message Frequency : Determines the frequency of alerts. Options include 'All' (every function call), 'Once Per Bar' (first call within the bar), and 'Once Per Bar Close' (final script execution of the real-time bar). Default is 'Once per Bar'.
Show Alert Time by Time Zone : Configures the time zone for alert messages. Default is 'UTC'.
🔵 Conclusion
This indicator is built for traders who rely on liquidity driven setups and smart money principles. By combining swing structure analysis with precision reaction zones and strict entry confirmation, it isolates the exact moments where price sweeps liquidity and fails to continue. These are high value points where institutional activity often reveals itself, and retail traps unfold.
Unlike generic breakout tools, this script focuses on quality over quantity by requiring both a sweep of a swing high or low and a confirmed rejection candle that closes inside a predefined zone. With customizable swing depth, proximity filters, visual highlights, and alert functions, it offers a complete framework for identifying and acting on fake breakouts with confidence. Whether you trade forex, crypto, or indices, this tool enhances your ability to align with true order flow and take entries where liquidity is most likely to shift.
Indicator
CandelaCharts - Swing Failure Pattern (SFP)# SWING FAILURE PATTERN
📝 Overview
The Swing Failure Pattern (SFP) indicator is designed to identify and highlight Swing Failure Patterns on a user’s chart. This pattern typically emerges when significant market participants generate liquidity by driving price action to key levels. An SFP occurs when the price temporarily breaks above a resistance level or below a support level, only to quickly reverse and return within the previous range. These movements are often associated with stop-loss hunting or liquidity grabs, providing traders with potential opportunities to anticipate reversals or key market turning points.
A Bullish SFP occurs when the price dips below a key support level, triggering stop-loss orders, but then swiftly reverses upward, signaling a potential upward trend or reversal.
A Bearish SFP happens when the price spikes above a key resistance level, triggering stop-losses of short positions, but then quickly reverses downward, indicating a potential bearish trend or reversal.
The indicator is a powerful tool for traders, helping to identify liquidity grabs and potential reversal points in real-time. Marking bullish and bearish Swing Failure Patterns on the chart, it provides clear visual cues for spotting market traps set by major players, enabling more informed trading decisions and improved risk management.
📦 Features
Bullish/Bearish SFPs
Styling
⚙️ Settings
Length: Determines the detection length of each SFP
Bullish SFP: Displays the bullish SFPs
Bearish SFP: Displays the bearish SFPs
Label: Controls the size of the label
⚡️ Showcase
Bullish
Bearish
Both
📒 Usage
The best approach is to combine a few complementary indicators to gain a clearer market perspective. This doesn’t mean relying on the Golden Cross, RSI divergences, SFPs, and funding rates simultaneously, but rather focusing on one or two that align well in a given scenario.
The example above demonstrates the confluence of a Bearish Swing Failure Pattern (SFP) with an RSI divergence. This combination strengthens the signal, as the Bearish SFP indicates a potential reversal after a liquidity grab, while the RSI divergence confirms weakening momentum at the key level. Together, these indicators provide a more robust setup for identifying potential market reversals with greater confidence.
🚨 Alerts
This script provides alert options for all signals.
Bearish Signal
A bearish signal is triggered when a Bearish SFP is formed.
Bullish Signal
A bullish signal is triggered when a Bullish SFP is formed.
⚠️ Disclaimer
Trading involves significant risk, and many participants may incur losses. The content on this site is not intended as financial advice and should not be interpreted as such. Decisions to buy, sell, hold, or trade securities, commodities, or other financial instruments carry inherent risks and are best made with guidance from qualified financial professionals. Past performance is not indicative of future results.
Indicator
Change in State of Delivery CISD ICT [TradingFinder] Liquidity 1🔵 Introduction
🟣 What is CISD ?
Change in State of Delivery (CISD) is a key concept in technical analysis, similar to Change of Character (ChoCh) and Market Structure Shift (MSS) in the ICT (Inner Circle Trader) and Smart Money trading styles. Like ChoCh and MSS, CISD helps traders identify critical changes in market structure and make timely entries into trades.
To determine the CISD Level, traders typically review the last 1 to 4 candles to identify the first positive or negative candle. The CISD Level is then set using the opening price of the next candle.
In this version of the indicator, support and resistance levels are defined based on liquidity, which includes patterns such as SFP (Swing Failure Pattern), fake breakout, and false breakout.
Bullish CISD :
Bearish CISD :
🔵 How to Use
🟣 Bullish CISD (Change in State of Delivery Upward)
In Bullish CISD, the trend shifts from bearish to bullish after the price hits a liquidity zone, typically indicated by patterns such as SFP, fake breakout, or false breakout.
The steps to identify Bullish CISD are as follow s:
Identify the liquidity zone (SFP, fake breakout).
Review the candles and find the first positive candle.
Set the CISD Level using the opening price of the next candle after the positive candle.
Confirm the change in state of delivery when the price closes above the CISD Level.
Enter the trade after CISD confirmation.
🟣 Bearish CISD (Change in State of Delivery Downward)
In Bearish CISD, the trader looks for a shift from a bullish to a bearish trend. This change typically occurs when the price hits a liquidity level, indicated by patterns such as SFP or false breakout.
The steps to identify Bearish CISD are :
Identify the liquidity zone.
Review the candles and find the first negative candle.
Set the CISD Level using the opening price of the next candle after the negative candle.
Confirm the change in state of delivery when the price closes below the CISD Level.
Enter a short trade after CISD confirmation.
🟣 CISD Compared to ChoCh and MSS (CISD Vs ChoCh/ MSS)
CISD, ChoCh, and MSS are all tools for identifying trend changes in the market, but they have some differences :
CISD: Focuses on a change in the state of delivery and uses liquidity patterns (SFP, fake breakout) and key candles to confirm trend reversals.
ChoCh: Identifies a change in the market’s character, often signaling rapid shifts in trend direction.
MSS: Focuses on changes in market structure and identifies the breaking of key levels as a signal of trend shifts.
🔵 Settings
🟣 CISD Logical settings
Bar Back Check : Determining the return of candles to identify the CISD level.
CISD Level Validity : CISD level validity period based on the number of candles.
🟣 SFP Logical settings
Swing period : You can set the swing detection period.
Max Swing Back Method : It is in two modes "All" and "Custom". If it is in "All" mode, it will check all swings, and if it is in "Custom" mode, it will check the swings to the extent you determine.
Max Swing Back : You can set the number of swings that will go back for checking.
🟣 CISD Display settings
Displaying or not displaying swings and setting the color of labels and lines.
🟣 SFP Display settings
Displaying or not displaying swings and setting the color of labels and lines.
🔵 Conclusion
CISD is a powerful tool for identifying trend reversals using liquidity patterns and key candle analysis. Traders can use the CISD Level to detect trend changes and find optimal entry and exit points.
This concept is similar to ChoCh and MSS but stands out with its focus on confirming trend changes through liquidity and specific patterns. With the right approach, CISD helps traders capitalize on market movements more effectively.
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Swing Failure Pattern SFP [TradingFinder] SFP ICT Strategy🔵 Introduction
The Swing Failure Pattern (SFP), also referred to as a "Fake Breakout" or "False Breakout," is a vital concept in technical analysis. This pattern is derived from classic technical analysis, price action strategies, ICT concepts, and Smart Money Concepts.
It’s frequently utilized by traders to identify potential trend reversals in financial markets, especially in volatile markets like cryptocurrencies and forex. SFP helps traders recognize failed attempts to breach key support or resistance levels, providing strategic opportunities for trades.
The Swing Failure Pattern (SFP) is a popular strategy among traders used to identify false breakouts and potential trend reversals in the market. This strategy involves spotting moments where the price attempts to break above or below a previous high or low (breakout) but fails to sustain the move, leading to a sharp reversal.
Traders use this strategy to identify liquidity zones where stop orders (stop hunt) are typically placed and targeted by larger market participants or whales.
When the price penetrates these areas but fails to hold the levels, a liquidity sweep occurs, signaling exhaustion in the trend and a potential reversal. This strategy allows traders to enter the market at the right time and capitalize on opportunities created by false breakouts.
🟣 Types of SFP
When analyzing SFPs, two main variations are essential :
Real SFP : This occurs when the price breaks a critical level but fails to close above it, then quickly reverses. Due to its clarity and strong signal, this SFP type is highly reliable for traders.
Considerable SFP : In this scenario, the price closes slightly above a key level but quickly declines. Although significant, it is not as definitive or trustworthy as a Real SFP.
🟣 Understanding SFP
The Swing Failure Pattern, or False Breakout, is identified when the price momentarily breaks a crucial support or resistance level but cannot maintain the movement, leading to a rapid reversal.
The pattern can be categorized as follows :
Bullish SFP : This type occurs when the price dips below a support level but rebounds above it, signaling that sellers failed to push the price lower, indicating a potential upward trend.
Bearish SFP : This pattern forms when the price surpasses a resistance level but fails to hold, suggesting that buyers couldn’t maintain the higher price, leading to a potential decline.
🔵 How to Use
To effectively identify an SFP or Fake Breakout on a price chart, traders should follow these steps :
Identify Key Levels: Locate significant support or resistance levels on the chart.
Observe the Fake Breakout: The price should break the identified level but fail to close beyond it.
Monitor Price Reversal: After the breakout, the price should quickly reverse direction.
Execute the Trade: Traders typically enter the market after confirming the SFP.
🟣 Examples
Bullish Example : Bitcoin breaks below a $30,000 support level, drops to $29,000, but closes above $30,000 by the end of the day, signaling a Real Bullish SFP.
Bearish Example : Ethereum surpasses a $2,000 resistance level, rises to $2,100, but then falls back below $2,000, forming a Bearish SFP.
🟣 Pros and Cons of SFP
Pros :
Effective in identifying strong reversal points.
Offers a favorable risk-to-reward ratio.
Applicable across different timeframes.
Cons :
Requires experience and deep market understanding.
Risk of encountering false breakouts.
Should be combined with other technical tools for optimal effectiveness.
🔵 Settings
🟣 Logical settings
Swing period : You can set the swing detection period.
SFP Type : Choose between "All", "Real" and "Considerable" modes to identify the swing failure pattern.
Max Swing Back Method : It is in two modes "All" and "Custom". If it is in "All" mode, it will check all swings, and if it is in "Custom" mode, it will check the swings to the extent you determine.
Max Swing Back : You can set the number of swings that will go back for checking.
🟣 Display settings
Displaying or not displaying swings and setting the color of labels and lines.
🟣 Alert Settings
Alert SFP : Enables alerts for Swing Failure Pattern.
Message Frequency : Determines the frequency of alerts. Options include 'All' (every function call), 'Once Per Bar' (first call within the bar), and 'Once Per Bar Close' (final script execution of the real-time bar). Default is 'Once per Bar'.
Show Alert Time by Time Zone : Configures the time zone for alert messages. Default is 'UTC'.
🔵 Conclusion
The Swing Failure Pattern (SFP), or False Breakout, is an essential analytical tool that assists traders in identifying key market reversal points for successful trading.
By understanding the nuances between Real SFP and Considerable SFP, and integrating this pattern with other technical analysis tools, traders can make more informed decisions and better manage their trading risks.
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False Breakouts [TradingFinder] Fake Breakouts Failure🔵 Introduction
Technical indicators are essential tools for analysts and traders in financial markets, helping them predict price movements and make better trading decisions. One of the key concepts in technical analysis that should be carefully considered is the "False Breakout."
This phenomenon occurs when a price temporarily breaks through a significant support or resistance level but fails to hold and quickly returns to its previous range. Understanding this concept and applying it in trading can reduce risks and increase profitability.
🟣 What is a False Breakout?
A Fake Breakout, as the name suggests, refers to a breakout that appears to occur but fails to sustain, leading the price to quickly revert back to its previous range. This situation often happens when inexperienced or non-professional traders, under psychological pressure and eager to enter the market quickly, initiate trades.
This creates opportunities for professional traders to take advantage of these short-term fluctuations and execute successful trades.
🟣 The Importance of Recognizing False Breakouts
Recognizing False Breakouts is crucial for any trader aiming for success in financial markets. False Breakouts typically occur when the market approaches a critical support or resistance level.
In these situations, many traders are waiting to see if the price will break through this level. However, when the price quickly returns to its previous range, it indicates weakness in the movement and the inability to sustain the breakout.
🟣 How to identify False Breakouts?
To identify Fake Breakouts, it is important to carefully analyze price charts and look for signs of a quick price reversal after breaking a key level.
Here are some chart patterns that may help you identify a False Breakout :
1. Pin Bar Pattern : The Pin Bar is a candlestick pattern that indicates a price reversal. This pattern usually appears near support and resistance levels, showing that the price attempted to break through a key level but failed and reversed.
2. Fakey Pattern : This pattern, which consists of several candlesticks, indicates a False Breakout and a quick price return to the previous range. It usually appears near key levels and can signal a trend reversal.
3. Using Multiple Timeframes : One way to identify False Breakouts is by using charts of different timeframes. Sometimes, a breakout on a one-hour chart may be a False Breakout on a daily chart. Analyzing charts across multiple timeframes can help you accurately identify this phenomenon.
🔵 How to Use
Once you identify a False Breakout, you can use it as a trading signal. For this, it is best to look for trading opportunities in the opposite direction of the False Breakout. In other words, if a False Breakout occurs at a resistance level, you might consider selling opportunities, and if it happens at a support level, you might look for buying opportunities.
Here are some key points for trading based on False Breakouts :
1. Patience and Discipline : Patience and discipline are crucial when trading with False Breakouts. Wait for the False Breakout to clearly form before entering a trade.
2. Use Stop Loss : Setting an appropriate stop loss is vital when trading based on False Breakouts. Typically, the stop loss can be placed near the level where the False Breakout occurred.
3. Seek Confirmations : Before entering a trade, look for additional confirmations. These can include other analyses or technical indicators that show the price is likely to return to its previous level.
🔵 Settings
🟣 Logical settings
Swing period : You can set the swing detection period.
Max Swing Back Method : It is in two modes "All" and "Custom". If it is in "All" mode, it will check all swings, and if it is in "Custom" mode, it will check the swings to the extent you determine.
Max Swing Bac k: You can set the number of swings that will go back for checking.
🟣 Display settings
Displaying or not displaying swings and setting the color of labels and lines.
🟣 Alert Settings
Alert False Breakout : Enables alerts for Breakout.
Message Frequency : Determines the frequency of alerts. Options include 'All' (every function call), 'Once Per Bar' (first call within the bar), and 'Once Per Bar Close' (final script execution of the real-time bar). Default is 'Once per Bar'.
Show Alert Time by Time Zone : Configures the time zone for alert messages. Default is 'UTC'.
🔵Conclusion
False Breakouts, as a key concept in technical analysis, are powerful tools for identifying sudden price changes and using them in trading. Understanding this phenomenon and applying it can help traders perform better in financial markets and avoid potential losses.
To benefit from False Breakouts, traders need to carefully analyze charts and use the appropriate analytical tools. By leveraging this strategy, traders can achieve lower-risk and higher-reward trades.
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Swing Failure Pattern (SFP) [LuxAlgo]The Swing Failure Pattern indicator highlights Swing Failure Patterns (SFP) on the user chart, a pattern occurring during liquidity generation from significant market participants.
A Confirmation level used to confirm a trend reversal is also included. Users can additionally filter out SFP based on a set Volume % Threshold .
🔶 USAGE
Swing failure patterns occur when candle wicks exceed (above/below) a recent swing level but close back below/above it, and occur from more significant market participants engineering liquidity. This pattern can be indicative of a potential trend reversal.
A label and an accentuated wick line highlight the SFP (both can be disabled).
Using a higher "Swings" period will not return different SFP but will however potentially reduce their detection rate.
🔹 Confirmation Level
The confirmation level is the highest point between the previous swing and SFP for a bullish SFP, and the lowest point for a bearish SFP. This level allows confirming a trend reversal after an SFP once the price breaks it.
A small triangle will be displayed when the price closes beyond the confirmation level.
A more reactive and contrarian approach could use the SFP as an entry point, and the confirmation level for taking (partial) profit, or stop loss. The example below shows a possible scenario:
🔹 Volume % Threshold
During the occurrence of an SFP, the Volume % Threshold option allows comparing the cumulative volume outside the Swing level to the total volume of the candle. The following options are included:
Volume outside swing < Threshold: Volume outside the Swing level needs to be lower than x % of total candle volume. Prevent excessive liquidity generation.
Volume outside swing > Threshold: Volume outside the Swing level needs to be higher than x % of total candle volume. Requires more significant liquidity to be generated.
None: No extra filter is applied
Note that in the above case, the left SFP is no longer highlighted because the volume above the swing level was higher than the 25% threshold of the total volume.
When we change the setting to "Volume outside swing > Threshold", we get the reversed situation.
The "Volume outside Swing level" is obtained using intrabar - Lower TimeFrame (LTF) data.
At the intrabar (LTF) level, there are a maximum of 100K bars available. When using the Volume % Threshold filter, a vertical line will highlight the maximum period during which intrabars are available.
🔶 DETAILS
🔹 LTF Settings
When 'Auto' is enabled (Settings, LTF), the LTF will be the nearest possible x times smaller TF than the current TF. When 'Premium' is disabled, the minimum TF will always be 1 minute to ensure PulseWire plans lower than Premium don't get an error.
Examples with current Daily TF (when Premium is enabled):
500 : 3-minute LTF
1500 (default): 1-minute LTF
5000: 30 seconds LTF (1 minute if Premium is disabled)
The concerning LTF can be seen at the right-top (default) corner.
🔶 SETTINGS
Swings: Period used for the swing detection, with higher values returning longer-term Swing Levels.
Bullish SFP: enable/disable bullish Swing Failure Patterns.
Bearish SFP: enable/disable bearish Swing Failure Patterns.
🔹 Volume Validation
Validation:
Volume outside swing < Threshold: The volume outside the swing level needs to be lower than x % of the total volume.
Volume outside swing > Threshold: The volume outside the swing level needs to be higher than x % of the total volume.
None: No extra validation is applied.
Volume % Threshold: % of total volume as threshold.
Auto + multiple: Adjusts the initial set LTF
LTF: LTF setting
Premium: Enable when your PulseWire plan is Premium or higher
🔹 Dashboard
Show Dashboard: Display applied Lower Timeframe (LTF)
Location: Location of the dashboard
Size: Size of the dashboard
🔹 Style
Swing Lines
Confirmation Lines
Swing Failure Wick
Swing Failure Label
Lines / Labels: Color for lines and labels
SFP Wicks: Color for SFP wick line
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Kawabunga Swing Failure Points Candles (SFP) by RRBKawabunga Swing Failure Points Candles (SFP) by RagingRocketBull 2019
Version 1.0
This indicator shows Swing Failure Points (SFP) and Swing Confirmation Points (SCP) as candles on a chart.
SFP/SCP candles are used by traders as signals for trend confirmation/possible reversal.
The signal is stronger on a higher volume/larger candle size.
A Swing Failure Point (SFP) candle is used to spot a reversal:
- up trend SFP is a failure to close above prev high after making a new higher high => implies reversal down
- down trend SFP is a failure to close below prev low after making a new lower low => implies reversal up
A Swing Confirmation Point (SCP) candle is just the opposite and is used to confirm the current trend:
- up trend SCP is a successful close above prev high after making a new higher high => confirms the trend and implies continuation up
- down trend SCP is a successful close below prev low after making a new lower low => confirms the trend and implies continuation down
Features:
- uses fractal pivots with optional filter
- show/hide SFP/SCP candles, pivots, zigzag, last min/max pivot bands
- dim lag zones/hide false signals introduced by lagging fractals or
- use unconfirmed pivots to eliminate fractal lag/false signals. 2 modes: fractals 1,1 and highest/lowest
- filter only SFP/SCP candles confirmed with volume/candle size
- SFP/SCP candles color highlighting, dim non-important bars
Usage:
- adjust fractal settings to get pivots that best match your data (lower values => more frequent pivots. 0,0 - each candle is a pivot)
- use one of the unconfirmed pivot modes to eliminate false signals or just ignore all signals in the gray lag zones
- optionally filter only SFP/SCP candles with large volume/candle size (volume % change relative to prev bar, abs candle body size value)
- up/down trend SCP (lime/fuchsia) => continuation up/down; up/down trend SFP (orange/aqua) => possible reversal down/up. lime/aqua => up; fuchsia/orange => down.
- when in doubt use show/hide pivots/unconfirmed pivots, min/max pivot bands to see which prev pivot and min/max value were used in comparisons to generate a signal on the following candle.
- disable offset to check on which bar the signal was generated
Notes:
Fractal Pivots:
- SFP/SCP candles depend on fractal pivots, you will get different signals with different pivot settings. Usually 4,4 or 2,2 settings are used to produce fractal pivots, but you can try custom values that fit your data best.
- fractal pivots are a mixed series of highs and lows in no particular order. Pivots must be filtered to produce a proper zigzag where ideally a high is followed by a low and another high in orderly fashion.
Fractal Lag/False Signals:
- only past fractal pivots can be processed on the current bar introducing a lag, therefore, pivots and min/max pivot bands are shown with offset=-rightBars to match their target bars. For unconfirmed pivots an offset=-1 is used with a lag of just 1 bar.
- new pivot is not a confirmed fractal and "does not exist yet" while the distance between it and the current bar is < rightBars => prev old fractal pivot in the same dir is used for comparisons => gives a false signal for that dir
- to show false signals enable lag zones. SFP/SCP candles in lag zones are false. New pivots will be eventually confirmed, but meanwhile you get a false signal because prev pivot in the same dir was used instead.
- to solve this problem you can either temporary hide false signals or completely eliminate them by using unconfirmed pivots of a smaller degree/lag.
- hiding false signals only works for history and should be used only temporary (left disabled). In realtime/replay mode it disables all signals altogether due to PulseWire's bug (barcolor doesn't support negative offsets)
Unconfirmed Pivots:
- you have 2 methods to check for unconfirmed pivots: highest/lowest(rightBars) or fractals(1,1) with a min possible step. The first is essentially fractals(0,0) where each candle is a pivot. Both produce more frequent pivots (weaker signals).
- an unconfirmed pivot is used in comparisons to generate a valid signal only when it is a higher high (> max high) or a lower low (< min low) in the dir of a trend. Confirmed pivots of a higher degree are not affected. Zigzag is not affected.
- you can also manually disable the offset to check on which bar the pivot was confirmed. If the pivot just before an SCP/SFP suddenly jumps ahead of it - prev pivot was used, generating a false signal.
- last max high/min low bands can be used to check which value was used in candle comparison to generate a signal: min(pivot min_low, upivot min_low) and max(pivot max_high, upivot max_high) are used
- in the unconfirmed pivots mode the max high/min low pivot bands partially break because you can't have a variable offset to match the random pos of an unconfirmed pivot (anywhere in 0..rightBars from the current bar) to its target bar.
- in the unconfirmed pivots mode h (green) and l (red) pivots become H and L, and h (lime) and l (fuchsia) are used to show unconfirmed pivots of a smaller degree. Some of them will be confirmed later as H and L pivots of a higher degree.
Pivot Filter:
- pivot filter is used to produce a better looking zigzag. Essentially it keeps only higher highs/lower lows in the trend direction until it changes, skipping:
- after a new high: all subsequent lower highs until a new low
- after a new low: all subsequent higher lows until a new high
- you can't filter out all prev highs/lows to keep just the last min/max pivots of the current swing because they were already confirmed as pivots and you can't delete/change history
- alternatively you could just pick the first high following a low and the first low following a high in a sequence and ignore the rest of the pivots in the same dir, producing a crude looking zigzag where obvious max high/min lows are ignored.
- pivot filter affects SCP/SFP signals because it skips some pivots
- pivot filter is not applied to/not affected by the unconfirmed pivots
- zigzag is affected by pivot filter, but not by the unconfirmed pivots. You can't have both high/low on the same bar in a zigzag. High has priority over Low.
- keep same bar pivots option lets you choose which pivots to keep when there are both high/low pivots on the same bar (both kept by default)
SCP/SFP Filters:
- you can confirm/filter only SCP/SFP signals with volume % change/candle size larger than delta. Higher volume/larger candle means stronger signal.
- technically SCP/SFP is always the first matching candle, but it can be invalidated by the following signal in the opposite dir which in turn can be negated by the next signal.
- show first matching SCP/SFP = true - shows only the first signal candle (and any invalidations that follow) and hides further duplicate signals in the same dir, does not highlight the trend.
- show first matching SCP/SFP = false - produces a sequence of candles with duplicate signals, highlights the whole trend until its dir changes (new pivot).
Good Luck! Feel free to learn from/reuse the code to build your own indicators!
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