[ A L P H A X ] BREAKRUNE - Pattern Breakout RSI EngineAlphaX BREAKRUNE — Pattern Breakout Intelligence + RSI Trigger Engine: Real vs Fake Breakout Classification, Five-Pattern Detection, Fakeout Reversal Signals & Pending State Machine
AlphaX BREAKRUNE is a professional-grade breakout intelligence system built around a single foundational problem that defeats most breakout traders: the inability to distinguish a genuine structural breakout from a fakeout in real time. Most breakout indicators fire on any close beyond a pattern boundary — and then leave the trader holding a loss when price immediately reverses back inside the structure. BREAKRUNE solves this at the architectural level by separating breakout detection into three sequential phases — pattern recognition, breakout classification, and RSI trigger confirmation — and requiring all three to align before a signal fires. Every raw break is first classified as PENDING, then evaluated over a configurable decision window for either TRUE BREAK or FAKEOUT status using candle body and wick geometry, and only confirmed true breaks with RSI momentum alignment produce long or short entry signals. Fakeouts become their own opportunity: when a breakout is classified as fake, BREAKRUNE reverses the bias and watches for an RSI-confirmed trap reversal signal in the opposite direction. The result is a system that profits not just from real breakouts but also from the very fakeouts that trap the crowd — with the RSI trigger layer ensuring every entry has genuine momentum behind it. Designed for traders across crypto, forex, gold, and indices on any timeframe.
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🔮 The Core Philosophy — Three Phases Before a Signal
The fundamental failure of conventional breakout systems is compression of the detection and confirmation steps into a single bar event. Price closes above resistance — signal fires. This approach has no mechanism for distinguishing momentum breakouts from stop-hunt spikes, thin-market wicks, or false structural breaks that reverse immediately.
BREAKRUNE separates these into three distinct sequential phases that every potential signal must pass through:
Phase 1 — Pattern Recognition:
The system continuously scans the pivot structure to identify one of five major pattern types — Range, Double Top/Bottom, Triangle, Wedge, or Trend Channel. The detected pattern provides the structural context for the breakout evaluation: where the resistance and support levels are, what the directional bias of the formation is, and whether the pattern height meets the minimum size requirement for a qualified break.
Phase 2 — Breakout Classification:
When a raw break of the pattern boundary occurs, the system enters PENDING state. Over the next configurable bars (the fakeout decision window), it watches for one of two outcomes. If candles close back inside the structure with a significant rejection wick, the break is reclassified as FAKEOUT. If the required number of candles all close beyond the boundary without a wick rejection, the break is classified as TRUE BREAK. No premature signal fires during this window — the system waits for the evidence.
Phase 3 — RSI Trigger Confirmation:
Only after a TRUE BREAK or FAKEOUT classification does the RSI trigger layer evaluate. For true breaks, the Fast RSI must be above the configured long trigger (default: 55) with Core RSI above 50 and both RSI slopes positive. For fakeout reversals, the Fast RSI must cross the midline in the reversal direction with positive directional slope. Both must pass the quality score gate. Only then does a signal fire.
This three-phase architecture is what makes BREAKRUNE categorically different from breakout indicators that react to a single bar event.
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📐 Five-Pattern Detection Engine
BREAKRUNE continuously classifies the current market structure into one of five pattern types using the most recent confirmed pivot highs and lows. Every pattern provides resistance (res) and support (sup) levels used as the breakout boundaries.
Pattern detection uses:
Confirmed fractal pivot highs and lows (configurable pivot length, default: 5 bars each side), ATR-normalized tolerance values for determining flat vs sloped levels, and a minimum pattern height filter to eliminate micro-structures.
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Range:
Both the most recent pivot high and pivot low are within the flat level tolerance (default: 0.35× ATR) of their respective prior pivots — price has been oscillating between approximately horizontal support and resistance. The pattern bias is neutral (patBias = 0) — a range can break either direction. The resistance is the average of the two pivot highs; support is the average of the two pivot lows.
Double Top / Double Bottom:
Two pivot highs at approximately the same level (within flat tolerance) with the current price below both peaks — Double Top, bearish bias. Or two pivot lows at the same level with current price above — Double Bottom, bullish bias. The pattern height is the distance from the support/resistance level to the opposing pivot extreme. The directional bias (patBias) is set accordingly — bearish for Double Top, bullish for Double Bottom.
Triangle (Converging):
The pivot highs are trending lower (by more than the trend shift tolerance, default: 0.20× ATR, between consecutive highs) while the pivot lows are trending higher — a symmetrical converging triangle. No directional bias is set (patBias = 0) since triangles resolve in either direction. The resistance is the most recent pivot high; support is the most recent pivot low.
Wedge:
Both pivot highs and pivot lows are trending in the same direction. Rising Wedge: both highs and lows trending upward — despite the upward direction the narrowing structure is bearish (patBias = -1). Falling Wedge: both trending downward — bullish (patBias = 1). The wedge pattern is identified when the pivot-to-pivot shift exceeds the trend tolerance on both sides in the same direction.
Trend Channel:
Pivot highs are trending in one direction and pivot lows are trending in the same direction, but the high trend direction opposes the expected wedge classification — a parallel channel. The channel bias follows the direction of the trend (upward-sloping channel = bullish patBias, downward = bearish).
Pattern freshness filter:
All pivot-based pattern detections are subject to a maximum age constraint (default: 80 bars from the most recent contributing pivot). Patterns older than this threshold are excluded from pattern detection — the oldest pivot must be within the freshness window for the pattern to be considered current and relevant.
Pattern size validation:
The pattern height (distance from support to resistance) must meet or exceed the minimum pattern height in ATR multiples (default: 1.1× ATR). This sizeOk condition contributes 2 points to the quality score — the largest single weight component — and reflects that properly sized patterns have more institutional significance than micro-structures.
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⚡ The Breakout Classifier — PENDING → TRUE BREAK or FAKEOUT
When price closes beyond a pattern boundary by more than the break threshold (default: 0.12× ATR), a raw break event is registered and the breakout classifier enters PENDING state. From this moment, every bar within the fakeout decision window (default: 5 bars) is evaluated.
Raw break detection:
Long raw break: Close above the resistance level plus break threshold, with the pattern allowing long breaks (not a bearish pattern — Double Top and Rising Wedge suppress long breaks)
Short raw break: Close below the support level minus break threshold, with the pattern allowing short breaks
PENDING state variables stored at the break bar:
The direction (pendingDir), the exact level broken (pendingLvl), the bar index of the break (pendingBar), and the pattern name (pendingPat) are all stored in persistent variables. The PENDING state is displayed on the dashboard CLASS row as PENDING — visible awareness that a break has occurred and is being evaluated.
FAKEOUT classification:
Within the fakeout window (pendingAge ≤ fakeWindow), if price closes back inside the pattern:
For a long break fakeout: close falls back below the broken resistance level AND the upper wick of the current bar exceeds the configurable minimum wick rejection ratio (default: 45% of bar range) — the bar closed back inside with a dominant upper wick, confirming selling rejection of the attempted breakout
For a short break fakeout: close rises back above the broken support AND the lower wick exceeds the minimum ratio
When these conditions are met, pendingFake is set to true and the CLASS row displays FAKEOUT — the orange classification that activates the trap reversal signal pathway.
TRUE BREAK classification:
When the configurable number of consecutive candles (default: 2 bars) all close beyond the broken level — `ta.lowest(close, confirmBars) > pendingLvl` for longs, `ta.highest(close, confirmBars) < pendingLvl` for shorts — without any fakeout having been detected, pendingTrue is set to true and CLASS displays TRUE BREAK. The confirmed candles all remaining beyond the level eliminates the single-bar false breakout.
Window expiry:
If neither FAKEOUT nor TRUE BREAK is classified within the fakeout window, the pending state expires silently — pendingDir resets to zero, the level clears, and the system resumes scanning. This prevents stale pending states from generating signals long after the relevant price action has passed.
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📊 The RSI Trigger Layer — Momentum Gating on Classified Breaks
The RSI trigger layer is the final gate before a signal fires. It ensures every entry — whether on a true break or a fakeout reversal — has genuine momentum direction behind it at the moment of entry.
Dual RSI architecture:
Fast RSI (default: 7 periods) — the timing layer. Reacts quickly to price movement and provides the momentum trigger reading
Core RSI (default: 14 periods) — the confirmation layer. The intermediate momentum context that must agree with the fast RSI direction
RSI slope measurement:
Both RSI slopes are computed over the configurable slope bars (default: 3 bars) — the current RSI value minus the value N bars ago. A positive slope means RSI is accelerating; a negative slope means decelerating.
True Break Long RSI conditions (rsiLongOk):
Fast RSI above the long trigger threshold (default: 55) — momentum has already crossed into bullish territory
Core RSI above 50 — the intermediate RSI confirms the bullish bias
Fast RSI slope positive — momentum is still accelerating upward
Core RSI slope non-negative — intermediate momentum is not rolling over
True Break Short RSI conditions (rsiShortOk):
Fast RSI below the short trigger threshold (default: 45)
Core RSI below 50
Fast RSI slope negative
Core RSI slope non-positive
Fakeout Reversal RSI conditions:
Trap Long (rsiTrapLong): Fast RSI crosses above 50 (ta.crossover) with a positive slope — the RSI midline crossover after the fakeout confirms the reversal is gaining momentum
Trap Short (rsiTrapShort): Fast RSI crosses below 50 with a negative slope
Why the RSI trigger is a layer, not a gate: The RSI conditions are required for the signal to fire but are also the primary quality score component (2 points when fully met). This dual role means the RSI is simultaneously a hard entry requirement and a quality contributor — signals that barely pass the RSI threshold score lower than signals where momentum is strongly confirmed.
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🔀 The Fakeout Reversal — Trapping the Trap
The fakeout reversal is BREAKRUNE's most distinctive and high-reward signal type. When a long breakout is classified as FAKEOUT (price returned below resistance with a rejection wick), the crowd that bought the breakout is now trapped — holding longs above what has become confirmed resistance again. The RSI trap reversal watches for the Fast RSI to cross below 50 with negative slope: the momentum of the trapped buyers failing. When this occurs within the cooldown window, a short signal fires — entering precisely as the trapped longs begin capitulating.
Why fakeout reversals often produce the strongest moves: A failed breakout above resistance concentrates stop losses of all the breakout buyers just above the resistance level. As those stops are triggered on the reversal, they add selling pressure to the downside move — creating a self-reinforcing cascade. The fakeout reversal entry captures this cascade from near the top.
Enabling/disabling: The Enable Fakeout Reversal Signals setting (default: on) controls whether trap reversal signals are active. Disabling it restricts BREAKRUNE to true break signals only — appropriate for traders who prefer pure momentum continuation entries.
Visual differentiation: True break signals are rendered in the standard bull/bear score-based colors (yellow-green for longs, red for shorts). Fakeout reversal signals fire through the same triangle shapes but with the quality score reflecting the trap penalty — trap signals score 1 point on the setup component vs 2 for true breaks, naturally producing slightly lower overall scores that are reflected in the triangle's brightness.
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🏅 The 10-Point Quality Score
Every signal — true break or fakeout reversal — is scored through a 10-point composite system before it can fire. Signals below the minimum threshold (default: 5) are suppressed regardless of classification.
Score components:
Pattern Size (up to 2 points):
sizeOk (pattern height ≥ minimum ATR threshold) scores 2 points. A zero-score here (pattern too small) alone can suppress a signal by 2 points — the largest single deduction possible. Well-sized patterns carry proportionally more institutional significance and this component enforces that.
RSI Trigger Alignment (up to 2 points):
rsiLongOk (for long signals) or rsiShortOk (for short signals) scores 2 points. This is the second largest component — reflecting that genuine momentum confirmation at the moment of entry is as important as pattern quality. Signals where RSI barely meets the threshold (Fast RSI just above 55 with flat slope) score these 2 points; signals where RSI is not aligned at all score 0.
Signal Type (1–2 points):
True break signals score 2 points; fakeout reversal (trap) signals score 1 point. This weighting reflects the inherently lower confirmation of a reversal trade versus a confirmed structural continuation — the trap trade is valid but carries more uncertainty.
Volume Confirmation (1 point):
Current bar volume meets or exceeds the volume average × multiplier (default: 1.1×). When volume confirmation is disabled in settings, this point is always awarded.
Non-Chop Market (1 point):
Choppiness Index is below the configured threshold (default: 62.0). Also enforced as a hard gate — extreme chop blocks all signals regardless of score.
HTF Bias (up to 2 points):
When useHtf is on and the higher timeframe EMA structure agrees with the signal direction (htfBull for longs, htfBear for shorts), 2 points are awarded. When HTF is disabled, 1 neutral point is always given. When HTF opposes the signal and useHtf is on, 0 points. This component has the same maximum weight as RSI and pattern size — reflecting the institutional significance of macro directional alignment.
Grade-coded signal colors:
Score 8–10 → full brightness (colBull / colBear). Score 6–7 → slightly dimmer. Score below 6 → transparent-tinted version. The triangle color communicates quality at a glance without reading the dashboard.
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📊 Live Dashboard
The 10-row real-time dashboard displays the complete internal state of the breakout classifier and all filter conditions.
PATTERN — the current detected pattern: Range, Dbl Top, Dbl Bot, Triangle, Rising Wedge, Falling Wedge, Up Channel, Down Channel. Purple color. Updates on every bar as the pivot structure evolves
CLASS — the current breakout classification state: IDLE (no pending break), PENDING (raw break registered, evaluating), TRUE BREAK (confirmed continuation), FAKEOUT (rejection detected, reversal watching). Color-coded — yellow-green for TRUE BREAK, orange for FAKEOUT, neutral for IDLE/PENDING
BIAS — the directional bias: BULL (pendingDir=1 or patBias=1), BEAR (pendingDir=-1 or patBias=-1), or NEUTRAL. Yellow-green or red
LEVELS — the current support and resistance levels as a price pair (e.g., "2450.50 / 2490.25"). The exact boundaries the breakout classifier is watching
QUALITY — the live quality score out of 10. Yellow-green when at or above the minimum threshold, neutral otherwise
RSI F/C — the live Fast RSI and Core RSI values as a pair (e.g., "58.4 / 53.7"). Yellow-green when above 50, red when below
HTF — higher timeframe EMA structure: ▲ BULL, ▼ BEAR, or — FLAT
CHOP — live Choppiness Index value. Orange when above the block threshold
VOL — CONFIRMED (volume above threshold) or LIGHT (below threshold). Yellow-green or orange
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📈 Chart Visual System
Pattern Boundary Lines — when Show Pattern Boundary Lines is enabled, a resistance line (res, red-tinted) and support line (sup, yellow-green-tinted) are drawn from the pattern's origin bar to the current bar, showing the exact levels the breakout classifier is watching
▲ Triangle (below bar) — long signal. Full brightness yellow-green for score 8+, standard for 6–7, transparent-tinted for minimum score. Fires on both TRUE BREAK longs and FAKEOUT reversal longs (trap shorts become long entries)
▼ Triangle (above bar) — short signal with matching grade-coded coloring
✕ Cross (above bar, orange) — fakeout mark for a failed long breakout. Appears when Show Fakeout Marks is enabled and fakeLongNow fires. The orange × above the bar is the visual alert that a bull breakout has been rejected
✕ Cross (below bar, orange) — fakeout mark for a failed short breakout
Candle tinting — when Show Tint Candles by Active Bias is enabled, bars are tinted yellow-green (bias=1) or red (bias=-1) during active pending or pattern-biased periods. The tint shows the directional context continuously, not just at signal bars
SL Line (red dashed) — when Show SL + TP1 + TP2 is on, the ATR-based stop loss level extending guideExtend bars forward
TP1 Line (lime dotted) — first take profit at 1.8× ATR from entry
TP2 Line (bright yellow-green dashed, width 2) — second take profit at 3.0× ATR from entry
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🚀 How to Trade with AlphaX BREAKRUNE — Step by Step
Step 1 — Read the Pattern and Levels
Check the PATTERN row on the dashboard — what structure is the system currently detecting? A Triangle or Wedge has directional bias; a Range or Double Top/Bottom has a directional expectation. Understanding the pattern context helps you assess which breakout direction is more probable
Check the LEVELS row — note the exact support and resistance prices. These are the lines the classifier is watching. If price is approaching resistance, a long break event may be imminent
Check BIAS — if it already shows BULL or BEAR from the pattern's directional classification, the system has a pre-existing directional lean before any break occurs
Step 2 — Monitor the Breakout Classification
When CLASS changes from IDLE to PENDING, a raw break has occurred. Watch the dashboard closely over the next fakeWindow bars — CLASS will shift to either TRUE BREAK or FAKEOUT
If CLASS shows FAKEOUT with an orange × appearing on the chart, the fakeout reversal pathway has activated. Check RSI F/C — is the Fast RSI approaching or crossing the 50 midline in the reversal direction?
If CLASS shows TRUE BREAK, check RSI F/C — is Fast RSI above 55 (long) or below 45 (short) with Core RSI confirming and slopes positive? If yes, a signal is likely imminent or has just fired
Step 3 — Enter on the Triangle Signal
A ▲ or ▼ triangle confirms all three phases have aligned — pattern identified, break classified, RSI triggered, quality scored
Read the triangle color — bright full-color triangle is Grade A (score 8+). This is the premium entry with all components confirming. Faded triangles are Grade C — valid but with reduced size
The QUALITY row shows the exact score. For fakeout reversal signals, the score will typically be 1 point lower than an equivalent true break signal due to the trap signal type weighting
Enable Show SL + TP1 + TP2 to see the ATR guide levels projecting forward from the signal bar
Step 4 — Manage the Trade
Watch the CLASS row during the trade. A new PENDING state in the opposing direction during an open position is an early warning that a counter-breakout is developing
Monitor RSI F/C — if Fast RSI begins rolling toward 50 against the trade direction, intermediate momentum is weakening. Consider taking TP1
The candle tint changing from yellow-green to red (or vice versa) during a trade means the bias has reversed — this is a structural exit cue
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⚠ Identifying Low-Quality Conditions — When Not to Trade
Stand aside when:
CHOP is orange on the dashboard — the hard chop gate is active. All signals are blocked. Pattern breakouts in extreme chop environments are dominated by noise — the range is too oscillatory for genuine structural breaks
CLASS shows PENDING for multiple consecutive bars with no resolution — when the system remains in PENDING state approaching the fakeWindow expiry without classifying as either TRUE BREAK or FAKEOUT, the break is ambiguous. The system will expire it silently. This ambiguity itself is a warning — directional commitment is absent
Pattern height is too small (sizeOk = false, quality score below 7) — the pattern exists but is too narrow to produce meaningful measured moves. Low-quality entries at micro-patterns carry reduced reward with the same stop risk
HTF Bias opposes the breakout direction — a bull breakout signal against a bearish HTF produces 0 HTF confluence points. The signal may still fire if other components score sufficiently, but counter-HTF breakouts resolve in the HTF direction far more often than not
FAKEOUT class appears but RSI is not approaching the midline — a fakeout has been detected but the RSI trigger for the reversal has not yet materialized. ARM SHORT / ARM LONG conditions are developing but no signal has fired. Do not anticipate the reversal signal without the RSI confirmation — the reversal could still fail
Multiple rapid PENDING → expiry cycles without TRUE BREAK or FAKEOUT — when the classifier repeatedly enters and exits PENDING state without resolving, the pattern boundary is being tested multiple times without follow-through. This is range-bound behavior masquerading as a breakout environment. Increase the break threshold or wait for a cleaner structural setup
The ideal BREAKRUNE setup:
Well-sized pattern (sizeOk true, pattern height 2× ATR or more)
Clean single raw break bar followed by TRUE BREAK classification within 2–3 bars
Fast RSI clearly above 55 (long) or below 45 (short) with positive/negative slopes on both RSI layers
HTF aligned with the breakout direction
Volume confirmed on the breakout bar
Chop Index well below threshold
Quality score at 8–10 (Grade A triangle, full brightness)
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⚡ Key Features
🔮 Three-phase breakout architecture — Pattern Recognition → Breakout Classification (PENDING → TRUE BREAK or FAKEOUT) → RSI Trigger Confirmation. No signal fires without all three phases completing sequentially
📐 Five-pattern detection engine — Range, Double Top/Bottom, Triangle, Rising/Falling Wedge, and Trend Channel identified from confirmed pivot structure with freshness and size filters
⚡ Real vs fake breakout classifier — candle body and wick geometry over a configurable decision window distinguishes genuine structural breaks from stop-hunt reversals before the signal fires
🔀 Fakeout reversal signal mode — when a break is classified as FAKEOUT, BREAKRUNE reverses bias and watches for an RSI midline crossover trap signal in the opposing direction, profiting from the crowd that got trapped
📊 Dual RSI trigger layer — Fast RSI (7) for timing precision and Core RSI (14) for momentum confirmation, with slope measurement on both. Required alignment conditions differ between true break and trap reversal entries
✕ Live fakeout markers — orange × marks above (failed long break) or below (failed short break) on bars where fakeout classification occurs, providing real-time awareness of failed breakouts independently of signal generation
🏅 10-point quality scoring — Pattern Size (2pts), RSI Alignment (2pts), Signal Type (1–2pts), Volume (1pt), Non-Chop (1pt), HTF Bias (2pts). Grade-coded triangle colors reflect score quality at a glance
🎨 Candle tinting — bars tinted yellow-green during bull pending/bias periods and red during bear periods, providing continuous directional context between signals
📊 10-row live dashboard — Pattern, Class, Bias, Levels, Quality, RSI F/C, HTF, Chop, and Volume updated in real time every bar
🔔 3 alert conditions — BREAKRUNE Long, BREAKRUNE Short, BREAKRUNE Fakeout (independent alert for fakeout detection regardless of reversal signal)
⚙ Fully configurable — pivot length, flat and trend tolerances, minimum pattern height, freshness window, break threshold, confirmation bars, fakeout decision window, wick rejection minimum, volume filter, dual RSI periods and trigger levels, RSI slope lookback, fakeout reversal enable, cooldown, quality minimum, HTF parameters, chop gate, SL/TP ATR multiples, guide extension, all visual toggles, and all colors are independently adjustable
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⚙ Settings Reference
Pattern Intelligence
Pivot Length — fractal sensitivity for pivot detection (default: 5). Lower = more frequent smaller patterns; higher = fewer, larger structural patterns
Flat Level Tol (xATR) — ATR tolerance for determining whether consecutive pivots are at the same level (default: 0.35). Controls Double Top/Bottom and Range classification sensitivity
Trend Shift Tol (xATR) — ATR tolerance for determining whether consecutive pivots show a directional shift (default: 0.20). Controls Triangle, Wedge, and Channel classification
Min Pattern Height (xATR) — minimum pattern height for the sizeOk condition and quality score (default: 1.1). Raise to filter micro-patterns
Pattern Freshness (bars) — maximum age of the oldest contributing pivot for pattern classification (default: 80). Older pivots are excluded
Breakout Classifier
Break Threshold (xATR) — minimum close extension beyond the pattern boundary to register a raw break (default: 0.12). Lower = more sensitive; higher = requires stronger breaks
True Break Confirmation Bars — consecutive candles that must all close beyond the level for TRUE BREAK classification (default: 2)
Fakeout Decision Window — maximum bars after the raw break within which FAKEOUT or TRUE BREAK must be classified (default: 5). After this window, the pending state expires
Fakeout Wick Rejection Min — minimum wick-to-body ratio required for FAKEOUT classification (default: 0.45). Higher = requires more obvious rejection wicks
Volume Confirm — require volume above average on the signal bar (default: on)
Volume Avg Length / Volume vs Avg — volume baseline parameters (defaults: 20 bars / 1.1×)
RSI Trigger Layer
RSI Fast — the timing RSI period (default: 7)
RSI Core — the confirmation RSI period (default: 14)
Long Trigger — minimum Fast RSI level for a true break long (default: 55). Above 50 is the baseline; raising this requires stronger bull momentum
Short Trigger — maximum Fast RSI level for a true break short (default: 45)
RSI Slope Bars — lookback period for RSI slope calculation (default: 3)
Enable Fakeout Reversal Signals — toggle the trap reversal signal mode (default: on)
Confluence Gate
Signal Cooldown (bars) — minimum bars between consecutive signals (default: 6)
Min Quality Score (of 10) — minimum score to fire a signal (default: 5)
HTF Bias Layer — when on, HTF alignment contributes up to 2 points to the quality score (default: on)
Hard HTF Alignment — when on, counter-HTF signals are fully blocked regardless of score (default: off)
HTF Timeframe / HTF Fast / Slow EMA — higher timeframe parameters (defaults: 60-minute / 21 / 55)
Block Extreme Chop / Choppiness Length / Chop Block Above — chop gate parameters (defaults: on / 14 / 62.0)
Entry / Exit Guides
Show SL + TP1 + TP2 — toggle guide line display (default: off)
ATR Length — ATR calculation lookback (default: 14)
SL (xATR) — stop loss distance in ATR multiples (default: 1.2)
TP1 (xATR) — first take profit distance (default: 1.8)
TP2 (xATR) — second take profit distance (default: 3.0)
Guide Extend (bars) — bars forward the guide lines project (default: 30)
Display
Show Pattern Boundary Lines — toggle the resistance and support boundary lines (default: on)
Show Signals — toggle signal triangle rendering (default: on)
Show Fakeout Marks — toggle the orange × fakeout markers (default: on)
Tint Candles by Active Bias — toggle directional candle tinting (default: on)
Show Dashboard — toggle the full dashboard (default: on)
Dashboard Position — Top Left / Top Right / Bottom Left / Bottom Right
Colors
Bull / Bull Bright — yellow-green family for bullish signals and tinting
Bear / Bear Bright — red family for bearish signals
Pattern Accent — purple for pattern labels, boundary lines, and structural elements
Pending / Fakeout — orange for fakeout marks, CHOP warnings, and VOL LIGHT indicators
Neutral — gray for IDLE class and neutral dashboard states
Stop / TP1 / TP2 — individual guide line colors
Dash BG / Dash Header / Dash Section / Dash Frame / Dash Text — full dashboard color control
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🔔 Alert Conditions (3 total)
BREAKRUNE Long — all three phases confirmed for a long entry: pattern identified, TRUE BREAK or FAKEOUT reversal classified, RSI trigger aligned, quality score met
BREAKRUNE Short — all conditions confirmed for a short entry
BREAKRUNE Fakeout — a fakeout has been classified on the current bar (fakeLongNow or fakeShortNow). This fires independently of whether a reversal signal follows — useful for awareness of failed breaks even when the reversal RSI conditions are not yet met
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🎯 Recommended Settings by Instrument & Timeframe
The default configuration is optimized for XAUUSD, major forex pairs, and crypto on M5–H1 :
Pivot Length at 5 — captures intraday structural swings without excessive micro-sensitivity
Fakeout Window at 5 — on M5 this is 25 minutes, sufficient to observe whether a break holds or fails without waiting too long. On M15, consider reducing to 3
Confirmation Bars at 2 — requires two consecutive closes beyond the level before TRUE BREAK classification. On M1, consider reducing to 1
RSI Long/Short Triggers at 55/45 — the asymmetric thresholds (not 60/40) accept momentum confirmation that is directional but not yet overbought/oversold
For other instruments or timeframes, adjust:
M1–M3 scalping — reduce Pivot Length to 3, reduce Fakeout Window to 3, reduce Confirmation Bars to 1, reduce Cooldown to 3, tighten Break Threshold to 0.08
H4–Daily swing trading — increase Pivot Length to 8–10, increase Pattern Freshness to 150, increase Fakeout Window to 8–10, increase Confirmation Bars to 3, increase TP2 to 5.0× ATR
Crypto (BTC, ETH) — increase Fakeout Wick Rejection to 0.50 for crypto's wider rejection wicks, increase Break Threshold to 0.18, increase Min Quality to 6 for tighter filtering on volatile instruments
Indices (NAS100, US30) — use Hard HTF Alignment (on), set RSI Long Trigger to 57, increase Confirmation Bars to 3 for cleaner index breakouts
Pure true-break mode — disable Enable Fakeout Reversal Signals, raise Min Quality to 6, raise RSI Long Trigger to 58 for higher-conviction momentum-only entries
Fakeout-specialist mode — enable Fakeout Reversal Signals, reduce Fakeout Wick Rejection to 0.38 for more sensitive fakeout detection, lower RSI Slope Bars to 2 for faster RSI crossover detection
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👥 Who This Is For
🔮 Breakout traders who are tired of being faked out — BREAKRUNE is built specifically around the fakeout problem. The three-phase architecture exists for one reason: to separate genuine structural breaks from the stop-hunt reversals that cost breakout traders money consistently
🔀 Traders who want to profit from both real breaks AND fakeouts — the fakeout reversal signal mode transforms the system's most common failure scenario into its own entry opportunity. The crowd that bought the false breakout becomes the fuel for the reversal trade
📊 Pattern-aware traders who want quantified structure — the five-pattern detection engine provides automatic structural context without manual drawing. Every signal tells you which pattern type it came from
📐 Momentum traders who need RSI precision — the dual RSI trigger layer (Fast 7 + Core 14) with slope measurement provides the most precise momentum timing gate in the AlphaX breakout signal suite
🧠 Systematic traders who want state transparency — the PENDING → TRUE BREAK / FAKEOUT classification state machine is fully visible on the dashboard in real time. You always know exactly what phase the system is in and why
🥇 Gold and forex intraday traders — breakout and fakeout patterns are particularly consistent on XAUUSD and major forex pairs during London and New York session transitions. Default settings are calibrated for these instruments
⚠ Traders who struggle with breakout timing — the RSI trigger layer forces every entry to have genuine momentum behind it at the moment of entry, eliminating the common experience of entering a breakout just as momentum exhausts
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📝 Notes
All signals are confirmed on bar close — the indicator is non-repainting by design. Pattern detection, breakout classification, and RSI conditions all finalize on confirmed bars
The pending state machine uses persistent variables (var) — the PENDING, TRUE BREAK, and FAKEOUT states persist across bars until resolved or expired. This is essential for multi-bar classification but means the state machine holds values from previous breakout events. A signal firing clears all pending state variables
Pattern detection is a best-fit classification — the system selects the most matching pattern from the available pivot structure on every bar. When the pivot structure changes (new pivots form), the pattern classification may update. This means the PATTERN row on the dashboard may change between signal events as new structure forms
The Pattern Freshness filter (default: 80 bars) ensures the oldest contributing pivot is recent. On slower timeframes with infrequent pivots, this may cause pattern detection to intermittently show — before new pivots form. Increase the freshness window on higher timeframes
Maximum 80 labels, 120 lines, and 600 bars back are configured. On very active low-timeframe charts, the oldest guide lines may be removed by TradingView's rendering limits
The fakeout mark (orange ×) fires independently of the reversal signal. A fakeout mark can appear without a subsequent reversal signal if the RSI trap conditions (midline cross with slope) are not met — the fakeout is real but the reversal momentum confirmation is absent
The indicator does not track open positions or P&L and does not connect to any broker or account
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⚠ Disclaimer
This indicator is a technical analysis and visualization tool intended for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any financial instrument. All signals are generated from historical and real-time price data using mathematical calculations — their accuracy or profitability is not guaranteed. Past performance of any signal type does not guarantee future results. Always conduct your own analysis, use proper risk management, and consult a licensed financial advisor before making any trading decisions. The author accepts no responsibility for any losses incurred from the use of this indicator.
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Built for traders who understand that a breakout is not a signal — it is the beginning of an evaluation. The signal comes after the market proves whether the break was real. Indicator
Indicator
[ A L P H A X ] RELAY - Pattern Relay EngineAlphaX RELAY — Pattern Relay Engine: Formation → Armed → Fired Lifecycle System, Pre-Breakout Detection, Completion Scoring, Volume Coil Confirmation & Real-Time Phase Intelligence
AlphaX RELAY is a professional-grade chart pattern anticipation system built around a fundamentally different concept from every other pattern indicator — including its companion AlphaX FORGE. Where FORGE detects patterns after breakout confirmation and fires entry signals on completed formations, RELAY tracks patterns throughout their entire development lifecycle , scoring their completion percentage in real time and alerting you before the breakout occurs. The RELAY framework divides every pattern's life into three sequential phases — FORMING, ARMED, and FIRED — and updates the phase designation on every bar as price evolves within the formation. When a pattern enters the ARMED zone (price approaching the neckline or boundary within ATR tolerance), RELAY alerts you to prepare. When the breakout fires, the full entry framework activates with computed entry, stop, TP1, and TP2 levels alongside a JSON alert. The result is a system that gives you advance warning of high-probability breakouts rather than reactive confirmation — designed for traders who want to be positioned before the crowd, across crypto, forex, gold, and indices on any timeframe.
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🔄 The RELAY Philosophy — Anticipation Over Confirmation
Every significant chart pattern begins forming bars or hours before the breakout. A Double Top starts when the second peak forms near the first — at that moment, a skilled technical trader begins watching the neckline. A Head & Shoulders is identifiable from the moment the right shoulder begins forming — before price has reached the neckline. A Bull Flag is established from the moment the pole terminates and consolidation begins.
Most pattern indicators wait until the breakout is confirmed — at which point the pattern is already complete, the first wave of breakout traders has already entered, and the entry price is often significantly beyond the pattern boundary. RELAY inverts this model. By continuously scanning for pattern geometries as they form , scoring their completion, and communicating their phase state in real time, RELAY gives traders the ability to:
Identify patterns well before breakout — watching them develop in real time on the chart
Receive an ARMED alert when price approaches the trigger level — preparing limit orders or monitoring for the candle close
Enter on the FIRED event with a pre-planned trade, not a reactive chase
Track completion percentage continuously — knowing whether a formation is 65% complete or 95% complete changes the urgency of preparation
This anticipatory framework is the core intellectual contribution of RELAY to the AlphaX suite, and it is what distinguishes it from FORGE — two systems covering the same pattern types from opposite temporal perspectives.
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🔄 The Three-Phase Lifecycle — FORMING → ARMED → FIRED
Every pattern in RELAY exists in exactly one of three states at any moment. The phase is computed on every bar and displayed prominently on both the chart label and the dashboard.
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Phase 1 — FORMING (Purple)
The pattern geometry has been confirmed — the pivots are in the correct structural relationship and the formation is identifiable. However, price has not yet approached the neckline or boundary level closely enough to be considered imminently actionable.
What FORMING means: The pattern exists and is valid. Completion percentage is typically 60–80% in this phase. The formation box is drawn on the chart in purple. The neckline or boundary is plotted as a solid purple line. The dashboard shows the pattern name, FORMING phase, and the current completion percentage.
How to use FORMING: Plan your trade. Note the neckline level. Calculate where your entry, stop, and targets will be if the pattern fires. Set a price alert at the ARMED zone boundary so you are notified when price begins approaching the trigger level. Do not enter yet.
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Phase 2 — ARMED (Orange)
Price has approached the neckline or boundary to within the configurable ATR tolerance (default: 0.35× ATR). The pattern is in its final stage of formation before the breakout. The trigger is imminent.
What ARMED means: Price is close enough to the neckline that the next 1–5 bars will likely determine whether the pattern fires or fails. Completion percentage typically reaches 85–100% in this phase. The formation box and neckline shift to orange. The dashboard phase row turns orange. An ARMED alert fires.
How to use ARMED: This is your active preparation signal. If you are trading with limit orders, now is the time to place a limit order at the neckline level. If you prefer market orders on breakout, watch the chart closely for the closing candle confirmation. Review the confluence score — if it is at or above the minimum, the ARMED setup is worth your full attention.
ARMED alert: Separate alert conditions fire for ARMED Long and ARMED Short, allowing you to set up targeted notifications for the direction you want to trade. The ARMED alert is the pre-breakout awareness signal.
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Phase 3 — FIRED (Yellow-Green / Red)
Price has closed beyond the neckline or boundary by more than the configured break margin (default: 0.6× ATR). The pattern has completed and the entry framework activates. Completion is 100%.
What FIRED means: The breakout is confirmed by bar close. The formation box and neckline shift to the directional color — yellow-green for bull patterns, red for bear patterns. Entry, SL, TP1, and TP2 lines are drawn on the chart extending 40 bars forward. All four levels are labeled with exact prices. The TP2 label also shows the computed R:R. A FIRED alert fires with a full JSON payload.
How to use FIRED: Enter on the next bar's open at or near the entry level shown on the chart. Place the stop at the SL level. Scale out 50% (default) at TP1. Let the remainder run to TP2 or trail with a stop.
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📊 Formation Completion Scoring — The Pattern Health Metric
The completion percentage is a pattern-specific quantitative score that measures how far along the formation has progressed toward its breakout. Unlike a simple binary detection, the completion score gives you continuous awareness of pattern health.
How completion is computed:
Each pattern type starts with a base completion score that reflects the geometric confirmation of the core structure:
Double Top / Bottom base: 70% — the two-pivot structure is confirmed
Head & Shoulders / Inv H&S base: 65% — the three-pivot structure with neckline is confirmed
Triangles base: 60–75% — converging trendlines with sufficient base height
Flags / Pennants base: 62% — pole plus parallel or converging consolidation confirmed
Wedges base: 58–78% — converging wedge with correct slope relationship
Additional completion points are awarded for:
+15 points — price is on the correct side of the neckline (below the neckline for Double Tops, above for Double Bottoms)
+15–20 points — price is within the ARMED zone (within ATR tolerance of the neckline or boundary)
Maximum possible completion before breakout is 100%. FIRED state also shows 100% on the dashboard.
Minimum formation threshold: Patterns below the configured minimum completion percentage (default: 55%) are not displayed. This prevents very early, nascent patterns with insufficient structural confirmation from cluttering the chart. Raising this threshold (e.g., to 70%) shows only well-developed formations where the pattern geometry is fully confirmed and price is approaching the trigger.
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📐 Pattern Detection — Five Formation Types
RELAY continuously scans for five pattern families in real time, computing their phase and completion on every bar.
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Double Top / Double Bottom
Two pivot highs at approximately the same level separated by a pullback low (Double Top), or two pivot lows at approximately the same level separated by a recovery high (Double Bottom). The neckline is the intervening low (Double Top) or high (Double Bottom).
Phase transitions:
FORMING — geometry confirmed, price not yet near neckline
ARMED — price within 0.35× ATR of the neckline
FIRED — price closes below neckline by 0.6× ATR (Double Top) or above by 0.6× ATR (Double Bottom)
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Head & Shoulders / Inverted H&S
Three-peak structure with a dominant central peak (head) flanked by two lower peaks (shoulders) at approximately equal heights, connected by a potentially sloped neckline through the two intervening lows. The Inverted H&S is the mirror pattern with a dominant central trough.
The neckline for H&S patterns is computed as a projected line through the two neckline pivot points, evaluated at the current bar — producing a dynamically sloped neckline that accurately reflects the true pattern boundary at any point in time.
Phase transitions follow the same ATR-based FORMING → ARMED → FIRED logic, with the ARMED zone assessed against the sloped neckline projection.
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Triangles — Ascending, Descending, Symmetrical
Converging trendlines formed by a falling or flat upper trendline and a rising or flat lower trendline. The three variants are distinguished by slope:
Ascending Triangle — upper trendline near flat, lower trendline rising. Bull breakout expected
Descending Triangle — lower trendline near flat, upper trendline falling. Bear breakout expected
Symmetrical Triangle — both trendlines converging, neither flat. Can break either direction; RELAY tracks the direction of the actual breakout
The ARMED zone is computed relative to the projected upper (bull) or lower (bear) trendline at the current bar. Completion receives a bonus for larger triangle base heights (more than 2× ATR adds 15 points vs 5 points for smaller bases).
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Flags and Pennants
A sharp pole move followed by a consolidation with parallel downward-sloping trendlines (Bull Flag / Pennant) or parallel upward-sloping trendlines (Bear Flag / Pennant). The pole size must be at least 2.5× ATR to qualify as a genuine pole rather than normal price movement.
The upper trendline for Bull Flags and the lower trendline for Bear Flags are the breakout boundaries. The ARMED zone is assessed against the projected trendline level at the current bar. The target is the breakout level plus the full pole distance.
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Rising and Falling Wedges
Converging patterns where both trendlines slope in the same direction but the lower trendline has a more extreme slope than the upper (Rising Wedge — bearish) or the upper trendline has a more extreme slope than the lower (Falling Wedge — bullish). The slope relationship distinguishes wedges from flags (which are parallel) and triangles (where lines converge to a point rather than widening).
Completion bonus is proportional to the wedge width in ATR multiples — wider wedges with more price range between the trendlines score higher completion. The target is the high of the wedge origin (Falling Wedge) or the low (Rising Wedge) — the structural measurement move.
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🏅 The 10-Point Quality Scoring System
Every active pattern is scored through a 10-point confluence system. Only patterns meeting the minimum score threshold (default: 5) are displayed, and the quality-ranked selection algorithm picks the highest-scoring pattern when multiple formations are active simultaneously.
Score components:
Formation Completion (up to 2 points):
Completion at 85% or above scores 2 points. Completion above the configured minimum scores 1 point. This ensures well-developed patterns score higher than nascent formations.
HTF Bias Alignment (up to 2 points):
Bull pattern with bull HTF, or bear pattern with bear HTF, scores 2 points. When HTF is disabled, 1 neutral point is awarded. Counter-HTF patterns score 0. The HTF filter can be set as a hard block on FIRED patterns — preventing counter-HTF breakout alerts even if the pattern is technically valid.
Non-Chop Market (1 point):
Choppiness Index below the threshold. Also enforced as a hard gate — extreme chop blocks all patterns from displaying.
Pattern Phase (up to 2 points):
FIRED scores 2 points, ARMED scores 1 point, FORMING scores 0. This weighting ensures that more advanced phases naturally score higher in the quality ranking — a FIRED pattern will nearly always outscore a FORMING pattern in the selection algorithm.
Volume Coil Before Break (1 point):
Current volume is below the configured fraction of the volume moving average (default: 0.85×). A drying volume condition approaching the neckline is the classic pre-breakout behavior — the market is consolidating on declining interest before the explosive release. This layer rewards patterns where this institutional behavior is present.
R:R at Minimum (1 point):
The computed R:R between entry and TP2 meets or exceeds the minimum (default: 1.5). Ensures only patterns with adequate measured moves relative to their stop are displayed.
Pattern Size (1 point):
The pattern height or target distance meets or exceeds 1.5× ATR. Filters micro-patterns with trivial measured moves.
Selection algorithm:
When multiple patterns qualify simultaneously, RELAY uses a composite ranking that combines the confluence score, completion percentage (weighted at 0.05 per percent), and phase bonus (FIRED: +3, ARMED: +2, FORMING: +0). This ensures that a FIRED pattern with good confluence almost always outranks a FORMING pattern, while also rewarding high-completion ARMED patterns over low-completion FORMING patterns of equal confluence.
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📦 Formation Box and Neckline Visualization
Every active pattern is rendered with two core visual elements:
Formation Box:
A rectangle spanning the pattern's horizontal range (from the start bar to the current bar) and vertical range (from the neckline to the opposite extreme of the pattern — the tops for bear patterns, the bottoms for bull patterns). The box color reflects the current phase: purple for FORMING, orange for ARMED, yellow-green or red for FIRED. The fill opacity is moderate (88%) — present enough to identify the pattern zone without obscuring price action behind it.
Neckline / Boundary:
A solid line at the critical breakout level, extending 20 bars beyond the current bar. For patterns with flat necklines (Double Tops, Rectangles), this is a horizontal line. For Head & Shoulders with sloped necklines, the line reflects the slope. The neckline color matches the phase color — shifting through purple, orange, and the directional color as the phase advances.
Phase Label:
A label at the right edge of the formation showing the pattern name, current phase, and completion percentage. Positioned above price for bear patterns, below for bull patterns. The label color matches the phase.
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📊 Live Dashboard
The 13-row real-time dashboard displays the complete state of the current highest-scoring pattern.
RELAY STATE
Pattern — the name of the current pattern: Double Top, Head & Shoulders, Asc Triangle, Bull Flag, Falling Wedge, etc. Color-coded yellow-green for bull, red for bear
Phase — FORMING (purple), ARMED (orange), or FIRED (yellow-green/red). The most critical single row in the entire dashboard
Formation — the live completion percentage. Orange when below 80%, yellow-green when above 80%
Neckline — the exact price of the current neckline or boundary level in real time
LEVELS (FIRED)
Entry — the computed entry price (current bar's open at FIRED). Shows — when pattern is still FORMING or ARMED
TP1 / TP2 — both take-profit targets displayed as a price pair
Stop — the computed stop loss level
QUALITY
Confluence — the pattern's score out of 10. Yellow-green when at or above the minimum threshold
HTF · Chop — HTF bias (▲ BULL, ▼ BEAR, FLAT) and live Choppiness Index displayed on a single row. Orange CI indicates the chop gate is near or active
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📈 Chart Visual System
Formation Box (FORMING — purple) — the developing pattern's price range from start to current bar, purple-tinted
Formation Box (ARMED — orange) — box shifts to orange when price enters the ARMED zone. This color change on the chart is itself an alert
Formation Box (FIRED — yellow-green / red) — pattern complete, box color reflects direction
Neckline Line (solid, phase color) — the critical breakout level extending 20 bars forward
Phase Label — pattern name, phase text, and completion percentage. Positioned at the right edge of the formation
Entry Line (yellow-green dashed) — FIRED phase only, with "ENTRY x.xxxx" label
SL Line (red dashed) — FIRED phase only, with "SL x.xxxx" label
TP1 Line (lime dotted) — FIRED phase only, with "TP1 x.xxxx" label
TP2 Line (bright yellow-green dashed, width 2) — FIRED phase only, with "TP2 x.xxxx · R:R x.xx" label
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📡 JSON Alert System
RELAY fires a structured JSON alert on every FIRED event, delivering complete trade parameters to webhook receivers.
FIRED JSON structure: Indicator
Indicator
Cody Zig Zag Cody Zig Zag – MT4-Style Zig Zag for TradingView
The ZigZag indicator that actually works like the classic MT4 version!
🔍 Overview
Cody Zig Zag is a powerful, fully customizable ZigZag indicator that replicates the exact behavior of the popular MetaTrader 4 (MT4) ZigZag. Unlike TradingView's built-in ZigZag, this version behaves identically to what MT4 traders know and love – making it perfect for Elliott Wave traders, support/resistance hunters, and breakout specialists.
⚙️ Input Parameters (Just like MT4!)
Parameter Default Description
Depth 12 Minimum number of bars between swing points
Deviation 5 Minimum price movement (in ticks) to form a new swing
Backstep 2 Minimum bars between swing points of the same type
Line Thickness 2 Visual weight of the ZigZag line
Bull Color Lime Color for upward swings
Bear Color Red Color for downward swings
Repaint Levels True Enables real-time repainting (MT4 style)
🎯 Key Features
✅ TRUE MT4 BEHAVIOR – Exact replication of MetaTrader 4's classic ZigZag algorithm
✅ INTELLIGENT LABELS – Automatically identifies HH (Higher High), LH (Lower High), LL (Lower Low), and HL (Higher Low)
✅ REAL-TIME UPDATES – Optional repainting mode for live market analysis
✅ DIRECTION BACKGROUND – Visual market direction indicator (Green = Bullish, Red = Bearish)
✅ ALERT CONDITIONS – Get notified when the ZigZag direction changes
💡 How to Use
For Beginners:
Just add the indicator to your chart – the default settings (12,5,2) work perfectly for most timeframes!
For Advanced Traders:
Lower Depth (5-8) → More swings, more detail (scalping/1min charts)
Higher Depth (12-20) → Cleaner swings, fewer signals (swing trading/4H+ charts)
Adjust Deviation → Control minimum swing size based on volatility
🎨 Visual Guide
Lime Line = Price moving UP
Red Line = Price moving DOWN
HH Label = Higher High (uptrend continuation)
LH Label = Lower High (potential reversal down)
LL Label = Lower Low (downtrend continuation)
HL Label = Higher Low (potential reversal up)
📊 Best For
📌 Elliott Wave Counting – Perfect for identifying wave structure
📌 Support & Resistance – Automatically marks swing highs/lows
📌 Breakout Trading – Visualize clear break levels
📌 Divergence Trading – Spot hidden/regular divergences with RSI/MACD
📌 Harmonic Patterns – Identify XABCD patterns easily
⏰ Alert Conditions
Direction Changed – Triggered whenever the ZigZag changes direction
Bullish Direction – When price starts moving up
Bearish Direction – When price starts moving down
🔧 Troubleshooting
Q: Why does the indicator "repaint"?
A: That's how MT4 ZigZag works! Repainting shows the most accurate real-time swing points. Turn OFF "Repaint Levels" if you prefer traditional non-repainting behavior.
Q: What timeframes work best?
A: Works on ALL timeframes! Lower Depth values (5-8) for lower timeframes, higher Depth (12-20) for higher timeframes.
Q: Can I use this for automated strategies?
A: Yes! The alert conditions can trigger tradingview alerts for manual or webhook-based trading.
🙏 Credits
Original MT4 ZigZag logic ported to Pine Script™ v6 by lucemanb
Renamed and optimized as Cody Zig Zag
📝 Keywords
ZigZag MT4 Elliott Wave Swing High Swing Low Support Resistance Divergence Breakout Harmonic Patterns Price Action Trend Reversal Higher High Lower Low Technical Analysis TradingView Indicator Free Indicator
⭐ Support & Feedback
If you find this indicator useful:
Like & Follow for more tools
Leave a review with your suggestions
Share with your trading community
Happy Trading! 🚀
Disclaimer: This indicator is for educational and analytical purposes. Past performance does not guarantee future results. Always practice proper risk management. Indicator
Bollinger Bands Bull/Bear B2Bollinger Bands Bull/Bear
by MasterTony
Overview & How It Works:
This indicator enhances classic Bollinger Bands by the legendary John Bollinger with emphasizing dynamic bull/bear coloring, gradient strength fills, overextension highlights, and an orange squeeze overlay to visualize volatility contraction.
Core Calculations:
Basis Line: User-selectable moving average (SMA by default) of the source (close by default).
Upper / Lower Bands: Basis ± (Multiplier × Standard Deviation over the chosen length). Default multiplier = 2.0.
Bull / Bear State Determination: Price position relative to the basis and outer or lower bollinger bands, smoothed with a short EMA.
Hysteresis is applied to prevent rapid flipping during consolidation.
Result: stable bullish state when price is convincingly above the basis, bearish when below.
Proximity & Gradient Strength: Distance from price to each band is measured and normalized against current band width.
The closer price is to a band, the stronger the signal and the more opaque the fill becomes.
Colored Band Fills: Bullish state → mint-green fills around both bands (brighter/opaquer when price hugs the upper band).
Bearish state → red fills around both bands (brighter/opaquer when price hugs the lower band).
Special Overextension Fill:
When price is very close (>85%) to the "active" band (upper in bull, lower in bear) and the state is confirmed, a Brighter gradient of the band green (bull) or lred (bear).
Strong Vs Weak Bollinger
Thicker the Bollinger Band stronger the trend, thinner the weaker. Gradient going from brighter to more transparent highlights potential exhaustion of strong Bollinger.
Squeeze Detection (Orange Overlay):
Bollinger Band Width Percentile (BBWP) is calculated over a user-defined lookback (default 100 bars).
Squeeze = BBWP ≤ 25% (bands are historically narrow).
Tight squeeze = BBWP < 15% → brighter orange.
Orange fill covers the entire area between upper and lower bands during squeeze periods.
Toggle available to hide squeeze fills if desired.
How to Read & Trade This Indicator
Visual Interpretation:
Green-dominant chart (mint fills + possible light-green basis-to-band fill) = bullish bias. The brighter and fuller the green, the stronger the momentum (price pushing against or touching the upper band).
Red-dominant chart (red fills + possible light-red basis-to-band fill) = bearish bias. Brighter/fuller red = stronger downward pressure.
Light special fills (light green or light red from basis to band) = overextension zone. Often seen near trend extremes — watch for continuation (breakout) or reversal (failure to hold the band).
Orange overlay = low volatility / squeeze. Two shades:
Lighter orange = regular squeeze (potential move brewing).
Brighter orange = very tight squeeze (high probability of imminent explosive move).
Trading Guidelines:
Trend Following (Shows Bull Zone and Bear Zones):
In green fills → favor longs or hold existing longs.
In red fills → favor shorts or hold existing shorts.
Strength increases as fills become more opaque (price near the outer band).
Squeeze Breakouts (Highest Probability Setups):
Wait for orange squeeze to appear.
When price closes outside the bands (breakout), enter in the direction of the break.
Bias the trade toward the prevailing color:Breakout upward during green fills = strong long signal.
Breakout downward during red fills = strong short signal.
If breakout direction opposes the color bias, be cautious (lower probability).
Entry/Exits:
Follow the Band color, Band color with special fill green or red is strong to determining Bull or Bear states. Green=price up Red= Price down
Risk Management:
Use the basis line as dynamic support/resistance.
Stops can be placed just beyond the opposite band or basis during strong trends.
Combine with volume or other confirmation for higher conviction.
This visual upgrade makes Bollinger Bands far more intuitive — the chart literally colors itself bullish or bearish while highlighting volatility cycles and overextension zones. Great for trend, breakout, and mean-reversion strategies across any timeframe.
Enjoy fellow traders, this is V1 more versions will be updated.
Please also boost and comment would love your ideas on advancements to this.
Cheers,
MasterTony Indicator
Indicator
Wolfe Waves [BigBeluga]🔵 OVERVIEW
The Wolfe Waves pattern was first introduced by Bill Wolfe , a trader and analyst in the 1980s–1990s who specialized in market geometry and natural rhythm cycles. Wolfe observed that price often forms symmetrical wave structures that anticipate equilibrium points where supply and demand meet. These formations, called Wolfe Waves , gained popularity as a reliable pattern for forecasting both short- and long-term reversals.
The Wolfe Waves indicator automatically detects these patterns in real time. It tracks sequences of five pivots (points 1 through 5) and connects them with wave lines. Users can select either Bullish or Bearish Wolfe Waves depending on their trading bias. When the pattern fails, the lines automatically turn red to highlight invalidation.
🔵 CONCEPTS
Five-Point Structure – Wolfe Waves are defined by five pivots (1–5), which together form the basis of the wave pattern.
Bullish Pattern – Occurs when price compresses downward into point 5, signaling a potential upside reversal.
Bearish Pattern – Occurs when price extends upward into point 5, forecasting a downside reversal.
Validation & Failure – The pattern is considered valid once all five pivots form; if price fails to respect the expected breakout, the indicator marks the structure as broken with red lines.
🔵 FEATURES
Automatic detection of Bullish and Bearish Wolfe Waves.
Labels each pivot (1–5) on the chart for clarity.
Draws connecting lines between pivots to visualize the wave structure.
Projects target/dashed lines (EPA/ETA) based on Wolfe Wave geometry.
Lines automatically turn red when the pattern is broken, giving immediate feedback.
Customizable color scheme for bullish (lime) and bearish (orange) waves.
Adjustable sensitivity for pivot detection.
🔵 HOW TO USE
Choose between Bullish or Bearish mode depending on your analysis.
Watch for the formation of all five pivots; the indicator labels them clearly.
Look for potential entries near point 5, with the expectation that price will travel toward the projected EPA line.
Use invalidation (lines turning red) as a risk management warning to exit failed setups.
Combine with momentum, volume, or higher-timeframe analysis to increase reliability.
🔵 CONCLUSION
The Wolfe Waves brings the classic Wolfe Wave theory into an automated TradingView tool. Inspired by Bill Wolfe’s original concept of natural market cycles, this indicator detects, labels, and validates Wolfe Waves in real time. With automatic invalidation marking and customizable settings, it offers traders a structured way to harness one of the most well-known geometric reversal patterns. Indicator
Apex Edge – Wolfe Wave HunterApex Edge – Wolfe Wave Hunter
The modern Wolfe Wave, rebuilt for the algo era
This isn’t just another Wolfe Wave indicator. Classic Wolfe detection is rigid, outdated, and rarely tradable. Apex Edge – Wolfe Wave Hunter re-engineers the pattern into a modern, SMC-driven model that adapts to today’s liquidity-dominated markets. It’s not about drawing pretty shapes – it’s about extracting precision entries with asymmetric risk-to-reward potential.
🔎 What it does
Automatic Wolfe Wave Detection
Identifies bullish and bearish Wolfe Wave structures using pivot-based logic, symmetry filters, and slope tolerances.
Channel Glow Zones
Highlights the Wolfe channel and projects it forward into the future (bars are user-defined). This allows you to see the full potential of the trade before price even begins its move.
Stop Loss (SL) & Entry Arrow
At the completion of Wave 5, the algo prints a Stop Loss line and a tiny entry arrow (green for bullish, red for bearish). but the colours can be changed in user settings. This is the “execution point” — where the Wolfe setup becomes tradable.
Target Projection Lines
TP1 (EPA): Derived from the traditional 1–4 line projection.
TP2 (1.272 Fib): Optional secondary profit target.
TP3 (1.618 Fib): Optional extended target for large runners.
All TP lines extend into the future, so you can track them as price evolves.
Volume Confirmation (optional)
A relative volume filter ensures Wave 5 is formed with meaningful market participation before a setup is confirmed.
Alerts (ready out of the box)
Custom alerts can be fired whenever a bullish or bearish Wolfe Wave is confirmed. No need to babysit the charts — let the script notify you.
⚙️ Customisation & User Control
Every trader’s market and style is different. That’s why Wolfe Wave Hunter is fully customisable:
Arrow Colours & Size
Works on both light and dark charts. Choose your own bullish/bearish entry arrow colours for maximum visibility.
Tolerance Levels
Adjust symmetry and slope tolerance to refine how strict the channel rules are.
Tighter settings = fewer but cleaner zones.
Looser settings = more frequent setups, but with slightly lower structural quality.
Channel Glow Projection
Define how many bars forward the channel is drawn. This controls how far into the future your Wolfe zones are extended.
Stop Loss Line Length
Keep the SL visible without it extending infinitely across your chart.
Take Profit Line Colors
Each TP projection can be styled to your preference, allowing you to clearly separate TP1, TP2, and TP3.
This isn’t a one-size-fits-all tool. You can shape Wolfe detection logic to match the pairs, timeframes, and market conditions you trade most.
🚀 Why it’s different
Classic Wolfe waves are rare — this script adapts the model into something practical and tradeable in modern markets.
Liquidity-aligned — many setups align with structural sweeps of Wave 3 liquidity before driving into profit.
Entry built-in — most Wolfe scripts only draw the structure. Wolfe Wave Hunter gives you a precise entry point, SL, and projected TPs.
Backtest-friendly — you’ll quickly discover which assets respect Wolfe waves and which don’t, creating your own high-probability Wolfe watchlist.
⚠️ Limitations & Disclaimer
Not all markets respect Wolfe Waves. Some FX pairs, metals, and indices respect the structure beautifully; others do not. Backtest and create your own shortlist.
No guaranteed sweeps. Many entries occur after a liquidity sweep of Wave 3, but not all. The algo is designed to detect Wolfe completion, not enforce textbook liquidity rules.
Probabilistic, not predictive. Wolfe setups don’t win every time. Always use risk management.
High-RR focus. This is not a high-frequency tool. It’s designed for precision, asymmetric setups where risk is small and reward potential is large.
✅ The Bottom Line
Apex Edge – Wolfe Wave Hunter is a modern reimagination of the Wolfe Wave. It blends structural geometry, liquidity dynamics, and algo-driven execution into a single tool that:
Detects the pattern automatically
Provides SL, entry, and TP levels
Offers alerts for hands-off trading
Allows deep customisation for different markets
When it hits, it delivers outstanding risk-to-reward. Backtest, refine your tolerances, and build your watchlist of assets where Wolfe structures consistently pay.
This isn’t just Wolfe detection — it’s Wolfe trading, rebuilt for the modern trader.
Developer Notes - As always with the Apex Edge Brand, user feedback and recommendations will always be respected. Simply drop us a message with your comments and we will endeavour to address your needs in future version updates. Indicator
Strategy
Unlock the Power of Seasonality: Monthly Performance StrategyThe Monthly Performance Strategy leverages the power of seasonality—those cyclical patterns that emerge in financial markets at specific times of the year. From tax deadlines to industry-specific events and global holidays, historical data shows that certain months can offer strong opportunities for trading. This strategy was designed to help traders capture those opportunities and take advantage of recurring market patterns through an automated and highly customizable approach.
The Inspiration Behind the Strategy:
This strategy began with the idea that market performance is often influenced by seasonal factors. Historically, certain months outperform others due to a variety of reasons, like earnings reports, holiday shopping, or fiscal year-end events. By identifying these periods, traders can better time their market entries and exits, giving them an advantage over those who solely rely on technical indicators or news events.
The Monthly Performance Strategy was built to take this concept and automate it. Instead of manually analyzing market data for each month, this strategy enables you to select which months you want to focus on and then executes trades based on predefined rules, saving you time and optimizing the performance of your trades.
Key Features:
Customizable Month Selection: The strategy allows traders to choose specific months to test or trade on. You can select any combination of months—for example, January, July, and December—to focus on based on historical trends. Whether you’re targeting the historically strong months like December (often driven by the 'Santa Rally') or analyzing quieter months for low volatility trades, this strategy gives you full control.
Automated Monthly Entries and Exits: The strategy automatically enters a long position on the first day of your selected month(s) and exits the trade at the beginning of the next month. This makes it perfect for traders who want to benefit from seasonal patterns without manually monitoring the market. It ensures precision in entering and exiting trades based on pre-set timeframes.
Re-entry on Stop Loss or Take Profit: One of the standout features of this strategy is its ability to re-enter a trade if a position hits the stop loss (SL) or take profit (TP) level during the selected month. If your trade reaches either a SL or TP before the month ends, the strategy will automatically re-enter a new trade the next trading day. This feature ensures that you capture multiple trading opportunities within the same month, instead of exiting entirely after a successful or unsuccessful trade. Essentially, it keeps your capital working for you throughout the entire month, not just when conditions align perfectly at the beginning.
Built-in Risk Management: Risk management is a vital part of this strategy. It incorporates an Average True Range (ATR)-based stop loss and take profit system. The ATR helps set dynamic levels based on the market’s volatility, ensuring that your stops and targets adjust to changing market conditions. This not only helps limit potential losses but also maximizes profit potential by adapting to market behavior.
Historical Performance Testing: You can backtest this strategy on any period by setting the start year. This allows traders to analyze past market data and optimize their strategy based on historical performance. You can fine-tune which months to trade based on years of data, helping you identify trends and patterns that provide the best trading results.
Versatility Across Asset Classes: While this strategy can be particularly effective for stock market indices and sector rotation, it’s versatile enough to apply to other asset classes like forex, commodities, and even cryptocurrencies. Each asset class may exhibit different seasonal behaviors, allowing you to explore opportunities across various markets with this strategy.
How It Works:
The trader selects which months to test or trade, for example, January, April, and October.
The strategy will automatically open a long position on the first trading day of each selected month.
If the trade hits either the take profit or stop loss within the month, the strategy will close the current position and re-enter a new trade on the next trading day, provided the month has not yet ended. This ensures that the strategy continues to capture any potential gains throughout the month, rather than stopping after one successful trade.
At the start of the next month, the position is closed, and if the next month is also selected, a new trade is initiated following the same process.
Risk Management and Dynamic Adjustments:
Incorporating risk management with this strategy is as easy as turning on the ATR-based system. The strategy will automatically calculate stop loss and take profit levels based on the market’s current volatility, adjusting dynamically to the conditions. This ensures that the risk is controlled while allowing for flexibility in capturing profits during both high and low volatility periods.
Maximizing the Seasonal Edge:
By automating entries and exits based on specific months and combining that with dynamic risk management, the Ultimate Monthly Performance Strategy takes advantage of seasonal patterns without requiring constant monitoring. The added re-entry feature after hitting a stop loss or take profit ensures that you are always in the game, maximizing your chances to capture profitable trades during favorable seasonal periods.
Who Can Benefit from This Strategy?
This strategy is perfect for traders who:
Want to exploit the predictable, recurring patterns that occur during specific months of the year.
Prefer a hands-off, automated trading approach that allows them to focus on other aspects of their portfolio or life.
Seek to manage risk effectively with ATR-based stop losses and take profits that adjust to market conditions.
Appreciate the ability to re-enter trades when a take profit or stop loss is hit within the month, ensuring that they don't miss out on multiple opportunities during a favorable period.
In summary, the Ultimate Monthly Performance Strategy provides traders with a comprehensive tool to capitalize on seasonal trends, optimize their trading opportunities throughout the year, and manage risk effectively. The built-in re-entry system ensures you continue to benefit from the market even after hitting targets within the same month, making it a robust strategy for traders looking to maximize their edge in any market.
Risk Disclaimer:
Trading financial markets involves significant risk and may not be suitable for all investors. The Monthly Performance Strategy is designed to help traders identify seasonal trends, but past performance does not guarantee future results. It is important to carefully consider your risk tolerance, financial situation, and trading goals before using any strategy. Always use appropriate risk management and consult with a professional financial advisor if necessary. The use of this strategy does not eliminate the risk of losses, and traders should be prepared for the possibility of losing their entire investment. Be sure to test the strategy on a demo account before applying it in live markets. Strategy
Indicator
Multi-Timeframe Recursive Zigzag [Trendoscope®]🎲 Welcome to the Advanced World of Zigzag Analysis
Embark on a journey through the most comprehensive and feature-rich Zigzag implementation you’ll ever encounter. Our Multi-Timeframe Recursive Zigzag Indicator is not just another tool; it's a groundbreaking advancement in technical analysis.
🎯 Key Features
Multi Time-Frame Support - One of the rare open-source Zigzag indicators with robust multi-timeframe capabilities, this feature sets our tool apart, enabling a broader and more dynamic market analysis.
Innovative Recursive Zigzag Algorithm - At its core is our unique Recursive Zigzag Algorithm, a pioneering development that powers multiple Zigzag levels, offering an intricate view of market movements. This proprietary algorithm is the backbone of our advanced pattern recognition indicators.
Sub-Waves and Micro-Waves Analysis - Dive deeper into market trends with our Sub-Waves and Micro-Waves feature. Sub-Waves reveal the interconnectedness of various Zigzag levels, while Micro-Waves offer insight into the fundamental waves at the base level.
Enhanced Indicator Tracking - Integrate and track your custom indicators or oscillators with the zigzag, capturing their values at each Zigzag level, complete with retracement ratios. This offers a comprehensive view of market dynamics.
Curved Zigzag Visualization - Experience a new way of visualizing market movements with our Curved Zigzag Display, employing Pine Script’s polyline feature for a more intuitive and visually appealing representation.
Built-in Customizable Alerts - Stay ahead with built-in alerts that can be customized via user input settings.
🎯 Practical Applications
Our Zigzag Indicator is designed with an understanding of its inherent nature - the last unconfirmed pivot that consistently repaints. This characteristic, while by design, directs its usage more towards pattern recognition rather than direct identification of market tops and bottoms. Here's how you can leverage the Zigzag Indicator:
Harmonic Patterns - Ideal for those familiar with harmonic patterns, this tool simplifies the manual spotting of complex XABCD, ABC, and ABCD patterns on charts.
Chart Patterns - Effortlessly identify patterns like Double/Triple Taps, Head and Shoulders, Inverse Head and Shoulders, and Cup and Handle patterns with enhanced clarity. Navigate through challenging patterns such as Triangles, Wedges, Flags, and Price Channels, where the Zigzag Indicator adds a layer of precision to your breakout strategy.
Elliott Wave Components - The indicator's detailed pivot highlighting aids in identifying key Elliott Wave components, enhancing your wave analysis and decision-making process.
🎲 Deep Dive into Indicator Features
Join us as we explore the intricate features of our indicator in more detail.
🎯 Multi-Timeframe Capability
Our indicator comes equipped with an input option for selecting the desired resolution. This unique feature allows users to view higher timeframe Zigzag patterns directly on their lower timeframe charts.
🎯 Recursive Multi Level Zigzag
Our advanced recursive approach creates multi-level Zigzags from lower-level data. For instance, the level 0 Zigzag forms the base, calculated from specified length and depth parameters, while level 1 Zigzag is derived using level 0 as its foundation, and so forth.
The indicator not only displays multiple Zigzag levels but also offers settings to emphasize specific levels for more detailed analysis.
🎯 Sub-Components and Micro-Components of Zigzag Wave
Sub-components within a Zigzag wave consist of the previous level's Zigzag pivots. Meanwhile, the micro-components are composed of the base level (Level 0) Zigzag pivots encapsulated within the wave.
🎯 Curved Zigzag
Experience a new perspective with our curved Zigzag display. This innovative feature utilizes the polyline curved option to automatically generate sinusoidal waves based on multiple points.
🎯 Indicator Tracking
Default indicators such as RSI, MFI, and OBV are included, alongside the ability to track one external indicator at each Zigzag pivot.
🎯 Customizable Alerts
Our indicator employs the `alert()` function for alert creation. While this means the absence of a customization text box in the alert settings, we've included a custom text area for users to create their own alert templates.
Template placeholders include:
{alertType} - type of alert. Either Confirmed Pivot Update or Last Pivot Update. Depends on the alert type selected in the inputs.
When Last Pivot Update type is selected, the alerts are triggered whenever there is a new Zigzag Pivot. This may also be a repaint of last unconfirmed pivot.
When Confirmed Pivot Update type is selected, the alerts are triggered only when a pivot becomes a confirmed pivot.
{level} - Zigzag level on which the alert is triggered.
{pivot} - Details of the last pivot or confirmed pivot including price, ratio, indicator values and ratios, subcomponent and micro-component pivots.
🎲 User Settings Overview
🎯 Zigzag and Generic Settings
This involves some generic zigzag calculation settings such as length, depth, and timeframe. And few display options such as theme, Highlight Level and Curved Zigzag. By default, zigzag calculation is done based on the latest real time bar. An option is provided to disable this and use only confirmed bars for the calculation.
Indicator Settings
Allows users to track one or more oscillators or volume indicators. Option to add any indicator via external input is provided.
🎯 Alert Settings
Has input fields required to select and customize alerts.
Indicator
Indicator
Trendline Breakouts With Targets [ChartPrime]The Trendline Breakouts With Targets indicator is meticulously crafted to improve trading decision-making by pinpointing trendline breakouts and breakdowns through pivot point analysis.
Here's a comprehensive look at its primary functionalities:
Upon the occurrence of a breakout or breakdown, a signal is meticulously assessed against a false signal condition/filter, after which the indicator promptly generates a trading signal. Additionally, it conducts precise calculations to determine potential target levels and then exhibits them graphically on the price chart.
🔷 Key Features:
🔸 Trendline Drawing: The indicator automatically plots trendlines based on significant pivot points and wick data, visually representing the prevailing trend.
🔸 Breakout and Breakdown Signals : It triggers trading signals when a breakout (price moves above the trendline) or a breakdown (price moves below the trendline) is detected, helping traders identify potential entry points.
🔸 False Breakout/ Breakdown Filter ✔️: To enhance accuracy, the indicator incorporates a filter to reduce false breakout and breakdown signals, helping traders avoid premature entries.
🔸 Target Calculation: The indicator performs target-level calculations, a critical aspect of trade management.
These calculated target levels are visually displayed on the price chart, helping traders set precise profit targets and make well-informed trading decisions.
🔸 Color-Change Labels: The indicator features label color changes to provide quick visual cues. Labels are initially displayed in orange. When a take profit (TP) level is reached, the label changes to green, indicating a successful trade. Conversely, if a stop-loss (SL) level is hit, the label turns red, signaling a losing trade.
🔸 Settings :
This indicator combines technical analysis, trendline identification, breakout/breakdown signals, and risk management tools to assist traders in making more informed and efficient trading decisions. It can be a valuable addition to any trader's toolkit, helping them identify potential trade opportunities and manage risk effectively.
Indicator
TrendGuard Flag Finder - Strategy [presentTrading]
Introduction and How It Is Different
In the vast world of trading strategies, the TrendGuard Flag Finder stands out as a unique blend of traditional flag pattern detection and the renowned SuperTrend indicator.
- A significant portion of the Flag Pattern detection is inspired by the "Flag Finder" code by @Amphibiantrading, which serves as one of foundational element of this strategy.
- While many strategies focus on either trend-following or pattern recognition, this strategy harmoniously combines both, offering traders a more holistic view of the market.
- The integration of the SuperTrend indicator not only provides a clear direction of the prevailing trend but also offers potential stop-loss levels, enhancing the strategy's risk management capabilities.
AAPL 1D chart
ETHBTC 6hr chart
Strategy: How It Works
The TrendGuard Flag Finder is primarily built on two pillars:
1. Flag Pattern Detection : At its core, the strategy identifies flag patterns, which are continuation patterns suggesting that the prevailing trend will resume after a brief consolidation. The strategy meticulously detects both bullish and bearish flags, ensuring traders can capitalize on opportunities in both rising and falling markets.
What is a Flag Pattern? A flag pattern consists of two main components:
1.1 The Pole : This is the initial strong price move, which can be either upwards (for bullish flags) or downwards (for bearish flags). The pole represents a strong surge in price in a particular direction, driven by significant buying or selling momentum.
1.2 The Flag : Following the pole, the price starts consolidating, moving against the initial trend. This consolidation forms a rectangular shape and is characterized by parallel trendlines. In a bullish flag, the consolidation will have a slight downward tilt, while in a bearish flag, it will have a slight upward tilt.
How the Strategy Detects Flags:
Identifying the Pole: The strategy first identifies a strong price movement over a user-defined number of bars. This movement should meet a certain percentage change to qualify as a pole.
Spotting the Flag: After the pole is identified, the strategy looks for a consolidation phase. The consolidation should be counter to the prevailing trend and should be contained within parallel lines. The depth (for bullish flags) or rally (for bearish flags) of this consolidation is calculated to ensure it meets user-defined criteria.
2. SuperTrend Integration : The SuperTrend indicator, known for its simplicity and effectiveness, is integrated into the strategy. It provides a dynamic line on the chart, signaling the prevailing trend. When prices are above the SuperTrend line, it's an indication of an uptrend, and vice versa. This not only confirms the flag pattern's direction but also offers a potential stop-loss level for trades.
When combined, these components allow traders to identify potential breakout (for bullish flags) or breakdown (for bearish flags) scenarios, backed by the momentum indicated by the SuperTrend.
Usage
To use the SuperTrend Enhanced Flag Finder:
- Inputs : Begin by setting the desired parameters. The strategy offers a range of user-controlled settings, allowing for customization based on individual trading preferences and risk tolerance.
- Visualization : Once the parameters are set, the strategy will identify and visually represent flag patterns on the chart. Bullish flags are represented in green, while bearish flags are in red.
- Trade Execution : When a breakout or breakdown is identified, the strategy provides entry signals. It also offers exit signals based on the SuperTrend, ensuring that traders can capitalize on the momentum while managing risk.
Default Settings
The strategy comes with a set of default settings optimized for general use:
- SuperTrend Parameters: Length set to 10 and Factor set to 5.0.
- Bull Flag Criteria: Max Flag Depth at 7, Max Flag Length at 10 bars, Min Flag Length at 3 bars, Prior Uptrend Minimum at 9%, and Flag Pole Length between 7 to 13 bars.
- Bear Flag Criteria: Similar settings adjusted for bearish patterns.
- Display Options: By default, both bullish and bearish flags are displayed, with breakout and breakdown points highlighted.
Strategy
Supply and Demand Based Pattern [RH]This indicator focuses on detecting RBR and DBD patterns, which signify periods of increased momentum and potential continuation or reversal of the prevailing trend.
The RBR pattern consists of a rally (upward movement), followed by a base (consolidation or retracement), and then another rally. It suggests that the upward momentum may persist and provide trading opportunities.
On the other hand, the DBD pattern comprises a drop (downward movement), followed by a base, and then another drop. It indicates that the downward momentum might continue, offering potential shorting opportunities.
Bullish(RBR) example:
Bearish(DBD) example:
1. The bullish (RBR) and bearish (DBD) patterns share the same underlying logic, only differing in their directionality.
2. For both RBR and DBD patterns, the first rise/drop can consist of one or multiple candles. However, in the case of multiple candles, all candles must exhibit a bullish nature for RBR and a bearish nature for DBD.
Example:
3. It is a prerequisite for the first rise/drop to include at least one candle with a defined percentage of health, as determined by the user.
4. The base, following the first rise/drop, may comprise one or multiple candles.
Example:
5. To maintain consistency, the base is not allowed to retrace beyond 80%, although this value can be adjusted by the user.
6. Similar to the first rise/drop, the second rise/drop in both RBR and DBD patterns can consist of one or multiple candles. However, all candles within this phase must demonstrate a bullish nature for RBR and a bearish nature for DBD.
7. Confirmation of the bullish (RBR) pattern occurs when a candle closes above the high of the first rise. Conversely, the bearish (DBD) pattern is confirmed when a candle closes below the low of the first drop.
Example:
Alerts can be set for all bullish and bearish pattern or for the first pattern in the range of similar pattern. Indicator
Sniffer
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┃╭━╮┃╱╱╱╱┃╭╯┃╭╯
┃╰━━┳━╮╭┳╯╰┳╯╰┳━━┳━╮
╰━━╮┃╭╮╋╋╮╭┻╮╭┫┃━┫╭╯
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Overview
A vast majority of modern data analysis & modelling techniques rely upon the idea of hidden patterns, wether it is some type of visualisation tool or some form of a complex machine learning algorithm, the one thing that they have in common is the belief, that patterns tell us what’s hidden behind plain numbers. The same philosophy has been adopted by many traders & investors worldwide, there’s an entire school of thought that operates purely based on chart patterns. This is where Sniffer comes in, it is a tool designed to simplify & quantify the job of pattern recognition on any given price chart, by combining various factors & techniques that generate high-quality results.
This tool analyses bars selected by the user, and highlights bar clusters on the chart that exhibit similar behaviour across multiple dimensions. It can detect a single candle pattern like hammers or dojis, or it can handle multiple candles like morning/evening stars or double tops/bottoms, and many more. In fact, the tool is completely independent of such specific candle formations, instead, it works on the idea of vector similarity and generates a degree of similarity for every single combination of candles. Only the top-n matches are highlighted, users get to choose which patterns they want to analyse and to what degree, by customising the feature-space.
Background
In the world of trading, a common use-case is to scan a price chart for some specific candlestick formations & price structures, and then the chart is further analysed in reference to these events. Traders are often trying to answer questions like, when was the last time price showed similar behaviour, what are the instances similar to what price is doing right now, what happens when price forms a pattern like this, what were some of other indicators doing when this happened last(RSI, CCI, ADX etc), and many other abstract ideas to have a stronger confluence or to confirm a bias.Having such a context can be vital in making better informed decisions, but doing this manually on a chart that has thousands of candles can have many disadvantages. It’s tedious, human errors are rather likely, and even if it’s done with pin-point accuracy, chances are that we’ll miss out on many pieces of information. This is the thought that gave birth to Sniffer .
Sniffer tries to provide a general solution for pattern-based analysis by deploying vector-similarity computation techniques, that cover the full-breadth of a price chart and generate a list of top-n matches based on the criteria selected by the user. Most of these techniques come from the data science space, where vector similarity is often implemented to solve classification & clustering problems. Sniffer uses same principles of vector comparison, and computes a degree of similarity for every single candle formation within the selected range, and as a result generates a similarity matrix that captures how similar or dissimilar a set of candles is to the input set selected by the user.
How It Works
A brief overview of how the tool is implemented:
- Every bar is processed, and a set of features are mapped to it.
- Bars selected by the user are captured, and saved for later use.
- Once the all the bars have been processed, candles are back-tracked and degree of similarity is computed for every single bar(max-limit is 5000 bars).
- Degree of similarity is computed by comparing attributes like price range, candle breadth & volume etc.
- Similarity matrix is sorted and top-n results are highlighted on the chart through boxes of different colors.
A brief overview of the features space for bars:
- Range: Difference between high & low
- Body: Difference between close & open
- Volume: Traded volume for that candle
- Head: Upper wick for green candles & lower wick for red candles
- Tail: Lower wick for green candles & upper wick for red candles
- BTR: Body to Range ratio
- HTR: Head to Range ratio
- TTR: Tail to Range ratio
- HTB: Head to Body ratio
- TTB: Tail to Body ratio
- ROC: Rate of change for HL2 for four different periods
- RSI: Relative Strength Index
- CCI: Commodity Channel Index
- Stochastic: Stochastic Index
- ADX: DMI+, DMI- & ADX
A brief overview of how degree of similarity is calculated:
- Each bar set is compared to the inout bar set within the selected feature space
- Features are represented as vectors, and distance between the vectors is calculated
- Shorter the distance, greater the similarity
- Different distance calculation methods are available to choose from, such as Cosine, Euclidean, Lorentzian, Manhattan, & Pearson
- Each method is likely to generate slightly different results, users are expected to select the method & the feature space that best fits their use-case
How To Use It
- Usage of this tool is relatively straightforward, users can add this indicator to their chart and similar clusters will be highlighted automatically
- Users need to select a time range that will be treated as input, and bars within that range become the input formation for similarity calculations
- Boxes will be draw around the clusters that fit the matching criteria
- Boxes are color-coded, green color boxes represent the top one-third of the top-n matches, yellow boxes represent the middle third, red boxes are for bottom third, and white box represents user-input
- Boxes colors will be adjusted as you adjust input parameters, such as number of matches or look-back period
User Settings
Users can configure the following options:
- Select the time-range to set input bars
- Select the look-back period, number of candles to backtrack for similarity search
- Select the number of top-n matches to show on the chart
- Select the method for similarity calculation
- Adjust the feature space, this enables addition of custom features, such as pattern recognition, technical indicators, rate of change etc
- Toggle verbosity, shows degree of similarity as a percentage value inside the box
Top Features
- Pattern Agnostic: Designed to work with variable number of candles & complex patterns
- Customisable Feature Space: Users get to add custom features to each bar
- Comprehensive Comparison: Generates a degree of similarity for all possible combinations
Final Note
- Similarity matches will be shown only within last 4500 bars.
- In theory, it is possible to compute similarity for any size candle formations, indicator has been tested with formations of 50+ candles, but it is recommended to select smaller range for faster & cleaner results.
- As you move to smaller time frames, selected time range will provide a larger number of candles as input, which can produce undesired results, it is advised to adjust your selection when you change time frames. Seeking suggestions on how to directly receive bars as user input, instead of time range.
- At times, users may see array index out of bound error when setting up this indicator, this generally happens when the input range is not properly configured. So, it should disappear after you select the input range, still trying to figure out where it is coming from, suggestions are welcome.
Credits
- @HeWhoMustNotBeNamed for publishing such a handy PineScript Logger, it certainly made the job a lot easier. Indicator
1-2-3 Pattern (Expo)█ Overview
The 1-2-3 pattern is the most basic and important formation in the market. Almost every great market move has started with this formation. That is why you must use this pattern to detect the next big trend. In fact, every trader has used the 1-2-3 formation to detect a trend change without realizing it.
Our 1-2-3 Pattern (Expo) indicator helps traders quickly identify the 1-2-3 Reversal Pattern automatically. By analyzing the price action data, the indicator shows the pattern in real-time. When the pattern is discovered, the 1-2-3 Pattern (Expo) Indicator notifies you via its built-in alert feature! Catching the upcoming big move can't be that much simpler.
█ How to use
The 1-2-3 pattern is used to spot trend reversals. The pattern indicates that a trend is coming to an end and a new one is forming.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes! Indicator
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