Tightening Trailing Stop LossA utility tool to independently simulate a Trailing Stop based on ATR and Recent Candle Structure. It's most helpful if you only want something to independently trail a Stop and nothing else. For example, if you decide where to enter via a discretionary system, but like trailing Stops via code.
It's used by changing the 'Start Date' to the date where you wish to enter. It'll then display a Stop and Trail it, until it intersects with a candle. The Indicator will hide itself when it intersects with a candle to avoid cluttering the chart. It only moves in the direction of risk, so that means that, when set, it'll never increase the risk of your trade, unlike simple ATR bands. However, it does require resetting manually for each trade.
By Default, it uses a 10 Period RMA ATR, which is set 0.5 ATR away from the Low/High of the recent candle structure. It'll tighten each candle by multiplying it's value with .95, meaning it always tightens a little. All of these can be changed in the settings to match your preferred method of Setting/Trailing Stops
Indicator
SOL v1.0 Swing Trader
SOL v1.0 · Swing Trader 1-4hr Time Frame
A systematic mean-reversion signal cockpit for SOL perpetual futures. Identifies capitulation washout lows in low-momentum, ranging market conditions and targets multi-day recoveries. Built and validated on Jupiter Perps.
The thesis:
SOL spends extended periods chopping in tight ranges. Inside those ranges, sharp downward volatility spikes — capitulation wicks that flush weak longs — tend to resolve upward over the following 2–3 days. This indicator identifies those setups systematically and tells you exactly where to enter, where to take profit, and where to cut the loss.
Three hard gates — all three must be true to fire a signal
WVF (Williams VIX Fix) — detects the capitulation wick structure. Price made a sharp low, volatility spiked, and has since reset. This is the core setup identifier.
ADX < 25 — confirms the market is ranging, not trending. Mean reversion has no edge in a trending market. This gate ensures you're only trading the conditions where the thesis applies.
ER < 0.35 (Efficiency Ratio) — confirms the price action is genuinely choppy, not directional. A low efficiency ratio means price is oscillating rather than making sustained moves. Paired with ADX, this is the tightest ranging filter available without adding lag.
All three gates are toggleable and threshold-adjustable in the inputs. Defaults are the validated settings — change them only if you know what you're doing.
Stop framework:
Framework B fixed exits, validated as optimal against every alternative tested:
2h signals: TP +8.5% / SL −5.0%
3h signals: TP +10.0% / SL −6.0%
4h signals: TP +13.0% / SL −8.0%
Timeout: 144 bars (trade closes at market if neither target nor stop is hit)
Do not move the stop to breakeven. Do not take partial profit early. Do not trail. Every mechanism that touches a winning trade early was tested head-to-head against these fixed exits and underperformed. The stop is wide by design — the capitulation retest requires room.
Tiered alerts:
T4 ★★ — 3h and 4h aligned simultaneously. Strongest setup.
T3 ★ — 2h and 3h aligned. Primary signal.
T2 — 3h gate live only.
T1 — 2h gate live only.
T3 and T4 are the setups to prioritize. T1 and T2 are informational — treat them as early warnings that a T3 may be forming.
The panel:
NOW — live multi-timeframe decision cockpit across 1h, 2h, 3h, and 4h. Shows gate status, tier (BASE / SCALE / FULL based on trend-alignment score), regime (GREEN / YELLOW), and live Jupiter-ready entry, TP, and SL prices the moment a signal fires. Prices are anchored to the signal bar close — what you would have entered at.
CONFLUENCE — chart-timeframe observable stack. MBI, CVI, BBAWE, BP, VWAP, OBV, DELTA, EMA 9/21, HTF 240 bias, BTC regime, BB state. These do not gate signals. They are context — use them to read the quality of the setup before executing.
GREEN vs YELLOW regime — the NOW panel shows a regime color for each timeframe. GREEN means both ADX and ER confirm a tight ranging condition. YELLOW means ADX is below threshold but ER is elevated — a looser, less favorable setup. The system still signals in YELLOW with the default settings, but GREEN entries carry materially stronger historical performance. When the regime row is YELLOW, size accordingly or wait.
Chart overlays:
Bollinger Bands · EMA 9/21 · EMA 50 · SMA 50 · WVF capitulation markers · FVG (Fair Value Gap) boxes · Pivot swing high/low levels · Liquidation level lines (manual Coinglass inputs) · Adaptive Trend Finder channel. All individually toggleable.
Liquidation levels:
Enter your session liquidation heatmap values manually from Coinglass (SOL, 24h, All Exchanges, threshold 0.85). Four inputs: two above price, two below. These plot as horizontal reference lines — not signals, not gates. They show where forced liquidations are clustered, which can act as magnet levels for the capitulation move and for the recovery target.
What this is not:
Not a bot. Not an automated execution system. You receive an alert, you review the panel, you execute on Jupiter manually.
Not suitable for trending markets. When SOL is in a sustained directional move, the ADX gate will suppress most signals by design. If you're fighting the gate, the market is telling you this is not a mean-reversion environment.
Not a scalping tool. The 2h and 3h timeframes mean signals fire infrequently — sometimes once a week, sometimes less. The edge lives in patience and selectivity, not volume of trades.
Not optimized for other assets. Every parameter — WVF calibration, ADX threshold, ER threshold, stop percentages — was derived and validated specifically on SOL perpetuals. Applying it to BTC, ETH, or altcoins without independent validation is untested.
Inputs worth knowing:
Panel size and position are adjustable. If you're on mobile, Tiny or Small with Top Right works well.
The stop framework selector (A / B / C) is visible in inputs. Framework B is the validated default. A uses tighter stops and smaller targets — lower R:R. C uses wider stops with the same targets as A. Don't change the framework without understanding that the performance data was collected on B.
The conditions group exposes every parameter (WVF period, BB length, ADX length, ER length, EMA lengths, VIDYA settings, etc.) for advanced users. Leave them at defaults unless you have a specific reason to change them.
SOL v1.0 · Swing Trader is an analysis tool, not financial advice. Past signal performance does not guarantee future results. Perpetual futures carry significant risk including total loss of margin. Trade only what you can afford to lose.
Indicator
Event HorizonEvent Horizon is a historical analog projection fan designed to answer one practical question:
What has price tended to do after market conditions similar to the current one?
Instead of using a fixed crossover, oscillator threshold, or trend flip, this indicator builds a market fingerprint from the current chart, searches historical bars for similar conditions, and projects how those past analogs moved forward. The result is a visual forward fan showing possible path behavior, consensus direction, dispersion, confidence, and the closest historical analog path.
The goal is not to predict the future with certainty. The goal is to give traders a structured way to compare the current setup against similar historical environments and quickly see whether the analogs are aligned, scattered, bullish, bearish, or not useful.
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What makes this script different
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Most projection tools draw a channel, regression, moving average extension, or volatility cone from a fixed formula.
Event Horizon uses a historical analog engine. Each bar is converted into a multi-factor feature profile, then compared against prior market states using weighted Euclidean similarity. The closest historical analogs are used to create a forward projection fan.
The script combines:
• Historical analog matching
• Weighted Euclidean distance
• Regime-aware scoring
• Volatility and trend-state filtering
• Consensus projection logic
• Closest historical path overlay
• Agreement and confidence scoring
• Directional historical event dots
• A visual fan that shows uncertainty instead of one hard prediction
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How it works
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1. Market fingerprint
The script measures the current market using multiple dimensions, including:
• Recent price movement
• Trend slope
• ATR expansion and compression
• Candle range and body behavior
• Wick imbalance
• Position relative to recent structure
• Breakout distance
• Volume ratio and volume trend
• ATR percentile
• ADX / trend strength
• Historical shape samples
This creates a multi-dimensional profile of the current setup.
2. Historical analog search
The current profile is compared to historical profiles on the same chart. Similarity is calculated with weighted Euclidean distance, so higher-value features such as trend, volatility regime, and price-shape behavior can matter more than smaller candle details.
Closer historical examples receive stronger match scores.
3. Regime awareness
The script also classifies the current environment into regimes such as trend, compression, volatility expansion, volume shock, or range/chop. Historical examples from incompatible regimes are penalized, helping reduce weak comparisons.
4. Forward projection
Once the best analogs are selected, the script looks at what actually happened after those historical setups. Those forward moves are normalized and projected from the current anchor point.
5. Consensus and confidence
The indicator summarizes the analog group with:
• Directional bias
• Agreement percentage
• Dispersion
• Confidence score
• Edge state: TRADEABLE, CAUTION, or NO EDGE
• Historical self-test statistics
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How to read the fan
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The colored fan shows the projected analog field.
The colored median shows the consensus path of the analog set.
The white line shows the closest visible historical analog path. It is not a guaranteed target. It is the path taken by the most similar past setup selected by the engine.
The wider the fan, the more disagreement there is between analogs.
The tighter the fan, the more historically aligned the analogs are.
The confidence and edge label are important. A bullish-looking fan with low confidence or high dispersion should be treated differently than a bullish fan with strong agreement and cleaner regime structure.
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Historical dots
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Historical event dots help visually review where prior projection events occurred.
• Bullish projection dots appear below price
• Bearish projection dots appear above price
• Mixed or neutral readings are visually separated
This makes it easier to inspect whether the indicator has been identifying useful directional conditions on the current symbol and timeframe.
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How to use it
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For newer traders:
1. Start on the Daily or 4H chart.
2. Look at the colored median.
3. Check whether the white analog path agrees with the median.
4. Check confidence and agreement.
5. Avoid forcing trades when the label says NO EDGE or when dispersion is high.
A stronger bullish read usually has:
• Median path rising
• White analog path also rising
• Agreement above roughly 65%
• Confidence above roughly 70
• Low or medium dispersion
• Edge state showing TRADEABLE or CAUTION, not NO EDGE
A weaker or avoidable read usually has:
• Median and white path disagreeing
• Agreement near 50%
• High dispersion
• Low confidence
• Range/chop regime
• NO EDGE label
For experienced traders:
Use the fan as an analog-based context layer. It is most useful when combined with your own structure, liquidity, trend, support/resistance, volume, or macro view. The script is designed to show whether historical analog behavior supports or conflicts with the trade idea you already see on the chart.
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Suggested settings
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Balanced stocks / ETFs:
• Mode: Current Bar Projection
• Visual Mode: Cinematic
• Fan Style: Hybrid Swarm + Contours
• Horizon: 30
• Memory Lookback: 1800
• Max Analogs: 30
• Minimum Analogs: 6
• Pre-Event Window: 20
• Shape Samples: 6
• Path Scale: 1.0
Crypto:
• Horizon: 24
• Memory Lookback: 2000 to 2500
• Path Scale: 0.75 to 0.90
• Flexible direction matching
Intraday:
• Horizon: 20 to 24
• Minimum Analogs: 8
• Path Scale: 0.75 to 1.0
• Use liquid symbols only
Trend continuation:
• Direction Matching: Strict
• Mirror Opposite Direction: Off
• Path Scale: 1.0
Reversal / exhaustion:
• Direction Matching: Flexible
• Mirror Opposite Direction: On
• Path Scale: 0.75
• Shorter horizon preferred
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Best use cases
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Event Horizon is best suited for:
• Liquid stocks
• Major ETFs
• Index products
• Major crypto pairs
• Trend continuation setups
• Post-compression expansion
• Structure breaks
• Swing-trade context
• Daily and 4H analysis
It is less suitable for:
• Illiquid symbols
• Very new tickers with limited history
• Low-volume penny stocks
• Earnings gaps
• Binary news events
• Extremely short scalping timeframes
• Markets with sudden one-off catalysts
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Important notes
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This is an analog projection tool, not a standalone buy/sell system.
Historical similarity does not guarantee future behavior. Market structure, liquidity, volatility, news, and macro conditions can change quickly. The fan should be used as a decision-support layer, not as a guaranteed forecast.
The strongest readings occur when the median, white analog path, agreement, confidence, and regime state all point in the same direction.
The weakest readings occur when analogs are scattered, confidence is low, dispersion is high, or the script identifies a no-edge environment.
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Summary
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Event Horizon turns historical market behavior into a forward analog projection fan.
It helps traders see:
• What similar past setups did next
• Whether those analogs agree or disagree
• Whether the current regime supports the projection
• Whether the projected path is tight or scattered
• Whether the setup has enough confidence to matter
Use it to add historical context, probability awareness, and regime-based discipline to your chart analysis.
Indicator
Sweep V-Recovery Smart Zones ProSweep V-Recovery Smart Zones Pro is a smart-money style PulseWire indicator designed to identify liquidity sweeps, fast V-shape recoveries, and high-quality retests into key zones such as Inversion Fair Value Gaps (IFVGs), Order Blocks (OBs), and Breaker Blocks.
The indicator is built to help traders focus on reversal and continuation setups that begin with a sweep of liquidity, followed by a sharp recovery, and then a retest into a valid bullish or bearish zone. This makes it especially useful for traders looking for structured entries rather than chasing the initial move.
In addition to the core signal logic, the script also maps and manages real-time Fair Value Gaps (FVGs), Inversion Fair Value Gaps (IFVGs), Order Blocks, and Breaker Blocks directly on the chart using customizable live boxes. Zones can be shown or hidden individually, their colors can be fully customized, and invalidated zones can automatically remove themselves to keep the chart cleaner.
A major feature of this indicator is its smart zone behavior. When enabled, broken FVGs can automatically convert into IFVGs, allowing the chart to update as market structure changes. The indicator can also preserve prior-session zones and lets the user define how many days of historical zones should remain visible, making it useful for both intraday and multi-day context.
The script also includes IFVG quality filters to reduce lower-probability signals. Users can require a minimum IFVG size in ticks, limit how far away the original FVG can be before the inversion is considered valid, and optionally block signals when price is trading inside a Balanced Price Range (BPR) or overlapping opposite-gap area.
For traders who want stronger confirmation, the indicator can also print a strong signal when an IFVG overlaps with an Order Block or Breaker Block in the same price area. This helps distinguish standard setups from higher-confluence setups.
What the indicator looks for
Long setup
Price sweeps a prior low
Price forms a V-shape recovery
Price retests a valid bullish IFVG, bullish OB, or bullish Breaker
A long signal appears when confirmation rules are met
Short setup
Price sweeps a prior high
Price forms an inverted V recovery
Price retests a valid bearish IFVG, bearish OB, or bearish Breaker
A short signal appears when confirmation rules are met
Features
Liquidity sweep detection
3-bar V-recovery logic
2-candle snapback recovery logic
Retest signal logic
Real-time FVG, IFVG, Order Block, and Breaker Block boxes
Optional automatic removal of broken zones
Optional FVG to IFVG conversion
Adjustable historical zone lookback
Optional BPR no-signal filter
Optional minimum IFVG size filter
Optional maximum bars from FVG to IFVG filter
Strong confirmation signals when IFVG overlaps OB or Breaker
Fully customizable colors and visibility settings
Built-in alerts
Designed for clean charting and flexible workflows
Recommended settings
These are the settings I found to work best:
Setting Recommended Value
Zone Lookback Days 20
Minimum IFVG Size 20 ticks
Max Bars From FVG to IFVG 200
Sweep Lookback Bars 30
Recovery Window Bars 2
Retest Window Bars 15
Best use
This indicator is best suited for intraday trading, especially on markets where liquidity sweeps and fast recoveries are common. It works well for traders who want to combine price action, smart-money zone mapping, and clean retest entries into one workflow.
Notes
FVG, IFVG, Order Block, Breaker Block, and BPR logic are rule-based and designed for consistent automation in Pine Script. Because of that, they may not perfectly match every discretionary interpretation, but they provide a practical and structured framework for real-time analysis. Indicator
Strategy
Indicator
Indicator
Solana Day Trader 1.02SOLANA DAY TRADER 1.01
Multi-timeframe capitulation entry system for SOL perpetual futures
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WHAT IT DOES
Solana Day Trader identifies high-probability long entries during washout conditions — the sharp, wick-heavy drops where weak hands are flushed out before a mean-reversion recovery. It monitors the 15m, 30m, and 1h timeframes simultaneously and grades each potential entry from BASE through SCALE to FULL based on how much confirming evidence lines up.
The result is a live multi-timeframe dashboard that shows exactly where each timeframe stands — gate status, entry tier, confluence score, regime quality, liquidity levels, and active exit signals — all in one panel.
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HOW IT WORKS
The system runs three filters in sequence. All three must pass for a FULL-tier entry; failing the third downgrades to SCALE or BASE.
1 — CAPITULATION GATES (must both pass)
The Williams VIX Fix (WVF Filtered) fires when the current low relative to recent highs reaches an extreme — the volatility-squeeze signature of a washout wick. A Fair Value Gap (FVG) must also be present: a 3-bar price imbalance that confirms institutional order flow was present at the move. Together these two gates filter out ordinary pullbacks and focus attention on structural lows.
2 — CONFLUENCE SCORE (determines BASE vs SCALE)
Once the gates pass, four factors add to a score: EMA 9>21 alignment, a VIDYA adaptive moving average in bull posture, OBV slope pointing upward (contrarian — rising buy-side pressure into the low), and a signed-volume DELTA measure. The score floor for BASE is 1; SCALE requires 2 or higher. Each weight is adjustable, and any factor can be zeroed out to simplify the model.
3 — REGIME GATE (SCALE → FULL escalation)
FULL tier requires the market to be in a ranging, low-momentum state: ADX below the configured threshold (default 25). High-ADX trending markets favor momentum strategies; low-ADX ranging markets are where mean-reversion setups have the clearest edge. Optionally, a BTC bull requirement can be added as an additional gate for FULL.
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THE DASHBOARD
The panel (default: middle-right, toggleable) displays a 3-column layout — one column per timeframe (15m / 30m / 1h) — with the active chart timeframe highlighted.
Row by row:
TIER — BASE / SCALE / FULL (or blank if no signal)
SIGNAL — current trade status (GET IN / IN TRADE / EXIT FULL / RE-ENTRY / etc.)
WVF — armed (✓) or not
FVG — armed (✓) or not
TQI gate — gating status when TQI gate is enabled
TQI — Trend Quality Index value (0–1), used for the optional gate and char-flip exit
Score — current confluence score
ADX < — ADX value vs. the FULL-tier threshold
REGIME — GREEN / YELLOW / RED composite regime
HTF / EMA — higher-timeframe EMA bias
ATF / BTC — adaptive trend fit classification + BTC lead direction
VWAP / OBV — swing VWAP position + OBV state
LEVELS — structural stop and ATR-based stop levels
Liq ↑ — nearest auto-detected sell-side liquidity above (resistance pool)
Liq ↓ — nearest auto-detected buy-side liquidity below (support pool)
OBSERVABLES — MBI, CVI, BBAWE, Bull Pressure composite line
Sweep — per-TF liquidity sweep detection
GATES — WVF / FVG gate arm state
GREEN regime = trending higher with measured momentum, favorable for recovery.
YELLOW regime = intermediate / mixed — entries here carry more risk.
RED regime = downtrend or high-volatility chop — approach with caution.
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EXIT SIGNALS
Four exit conditions are available (each independently toggleable):
• BB Break — closes below the Bollinger lower band; thesis invalidated
• WVF Top — volatility-spike exhaustion reading; momentum likely stalling
• CVI Top — CVI exhaustion signal at extended levels
• Char-Flip (default OFF) — TQI collapse: trend quality deteriorates sharply after entry
The dashboard SIGNAL row tracks trade state and flags when any exit fires. A re-entry signal also activates after a full exit if the entry conditions re-arm within the configured watch window.
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MANUAL TRADE PROJECTION
When you enter a trade, toggle "I am currently in a trade" ON and type your entry price into "My entry price." The indicator draws TP and SL lines on the chart so you can see your risk/reward at a glance. Toggle OFF when you exit.
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ALERTS
Three alert conditions are available — one per tier — so you can be notified on BASE, SCALE, and/or FULL fires independently. Configure in the Alert Filtering settings group.
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RECOMMENDED SETUP
Chart: SOL/USDT or SOLUSDT perpetual, any supported exchange.
Timeframe: 15m is the primary display TF. The indicator reads 15m, 30m, and 1h internally regardless of which TF the chart is set to, but the dashboard highlights whichever matches your chart.
Defaults: WVF gate ON, FVG gate ON, ADX threshold 25, all three timeframes enabled. These are sensible starting points — the system is designed to be used as-is.
The most conservative approach is to trade FULL-tier signals only during GREEN regime. BASE and SCALE signals in YELLOW regime are valid setups but carry wider outcome distributions.
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SETTINGS GROUPS
Display — panel location/size, chart overlays (BB bands, WVF markers, EMA/SMA lines), trade projection toggle and entry price.
Entry Engine — timing windows (core arm, active trade, exit escalation, cooldown, re-entry).
Gate Stack — toggle WVF, FVG, TQI gates and the BB anti-signal individually.
Tier Escalators — ADX threshold for FULL tier.
Exit Signals — toggle each exit condition independently.
Cores — toggle EMA and VIDYA cores.
Confluence Score — individual weights for EMA, VIDYA, OBV, DELTA; score floor for BASE and SCALE/FULL.
Regime Escalator — BTC — optional BTC bull requirement for FULL-tier entries.
Alert Filtering — enable/disable alerts per tier.
Regime Context — HTF bias timeframe, EMA lengths, ADX length, ATF settings, BTC symbol.
Timeframes — enable/disable 15m, 30m, 1h independently; per-TF entry offset bars.
GATE — WVF Filtered — WVF period, Bollinger parameters, range lookback, arm window.
GATE — FVG — minimum gap height as % of price.
GATE — TQI — Trend Quality Index lengths and thresholds (informational unless TQI gate is enabled).
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ATTRIBUTION
Williams VIX Fix methodology originally by LazyBear.
VIDYA adaptive moving average component from BigBeluga's Volumatic VIDYA.
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This indicator is built for SOL perpetual futures. It is a decision-support tool, not a signal service. All entries and exits are your own decision. Past entry conditions do not guarantee future results.
Indicator
Dynamic Volume Profile Oscillator (DVPO)WHAT IT DOES
DVPO is a volume-weighted deviation oscillator. It answers a single question on every bar: how far has price stretched away from the level where most volume has actually traded, measured against how widely volume has been distributed around that level? The result is plotted as a single line oscillating around a 50 midline, with adaptive zones that widen and narrow with the instrument's own behavior instead of relying on fixed thresholds.
WHAT MAKES IT DIFFERENT
Most oscillators ignore volume, and the few that use it tend to use it loosely. RSI and CCI are built purely on price. MFI uses volume, but only to label each bar as buying or selling pressure before summing it like a volume-weighted RSI. %B and CCI both measure deviation from a mean, but the mean is unweighted and the deviation bands are either fixed (Bollinger) or based on a simple mean absolute deviation (CCI).
DVPO differs on two specific points:
The reference is a volume-weighted mean, a rolling VWAP over the lookback window, so the "fair value" it measures against is anchored to where trading actually happened, not to a simple price average.
The normalization is a volume-weighted mean absolute deviation: each bar's distance from the mean is weighted by that bar's share of total volume before being averaged. Price excursions that happened on thin volume contribute little; excursions on heavy volume define the scale. The oscillator then expresses current price as a number of these volume-weighted deviations away from the mean.
On top of that, the overbought/oversold zones are not fixed lines. They are recomputed continuously as a moving average of the oscillator plus or minus a multiple of its own standard deviation, so a quiet instrument gets tight zones and a volatile one gets wide zones automatically.
HOW IT WORKS
Volume-weighted mean (rolling VWAP): mean = sum(price * volume ) / sum(volume ) over the lookback window.
Volume-weighted mean absolute deviation: dev = sum( |price - mean| * (volume / sum(volume)) ) over the same window.
Oscillator (Mean Reversion mode): value = 50 + (price - mean) / (dev * sensitivity) * 25 A reading of 50 means price sits at the volume-weighted mean. Readings pull above or below 50 as price stretches away from it, scaled so that roughly one volume-weighted deviation maps to 25 oscillator points. The value is then EMA-smoothed.
Adaptive zones: midline = moving average of the oscillator (or a fixed 50 if disabled) upper / lower zone = midline +/- standard deviation of the oscillator * zone width
Signal lines: A fast and a slow EMA of the oscillator generate crossover events for timing.
TWO MODES
Mean Reversion (default): the deviation oscillator described above. Best for spotting stretched conditions and exhaustion relative to volume-defined fair value.
Volume Intensity: rescales smoothed volume inside its own recent high-low range, 0 to 100. A simpler read of whether participation is currently expanding or drying up. Useful as a context filter alongside any price tool.
HOW TO USE IT
Works on any market and timeframe. A few common readings:
Price crossing above the upper zone signals an unusually strong push relative to volume-weighted fair value, which can mean breakout strength or, in a range, exhaustion. The fast/slow signal cross helps tell continuation from fade.
A return toward the midline after a zone excursion is the mean-reversion leg.
In Volume Intensity mode, fading participation under a price advance is the classic non-confirmation warning. The four built-in alerts (cross above upper zone, cross below lower zone, bullish and bearish signal cross) let you watch several symbols without staring at charts.
SETTINGS
Defaults are neutral, round starting values rather than curve-fitted numbers: lookback 50, smoothing 5, sensitivity 1.0, adaptive midline period 50, zone width 1.5. Every input carries a tooltip. Bar coloring is off by default so the script does not override your chart; turn it on if you want the oscillator state mirrored on price.
ORIGINALITY
This script is an original construction by SfericaTrading. It does not reuse or adapt third-party Pine code. The underlying statistical building blocks (volume-weighted mean, mean absolute deviation, standard-deviation bands) are standard, but their combination into a volume-weighted deviation oscillator with self-normalizing adaptive zones is the original contribution.
DISCLAIMER
This is an educational tool for market analysis. It is not financial advice and no performance is implied or promised. Always do your own research and manage risk. Indicator
RSI Pattern Matcher & Forward ProjectionRSI Pattern Matcher & Forward Projection is an advanced RSI-based analysis tool
that combines historical pattern matching, statistical forward projection,
Bollinger Bands, and an EMA overlay — all applied directly on the RSI panel.
Instead of using RSI as a simple overbought/oversold indicator, this script
treats the RSI as a pattern signal. It scans hundreds of historical bars to find
past moments where RSI behavior and price direction closely matched the current
market structure, then statistically projects what RSI is most likely to do next.
### How It Works
The indicator builds a fingerprint of the current market using the last N bars
(Pattern Length), capturing:
- RSI value for each bar in the window
- Price direction per bar (rising, falling, or flat)
It then scans the full lookback window and marks a historical bar as a match when:
- Each RSI value falls within the defined tolerance (e.g. ±4 points per bar)
- At least 60% of the price direction steps align with the current pattern
Once matches are collected, the script averages what happened to RSI over the
following bars after each match. This averaged path is rendered as a step-by-step
dashed projection line extending to the right of the last bar.
Bollinger Bands (length 14, multiplier 2.0) and EMA 12 are computed on the RSI
itself — not on price. Both indicators are also extended forward by the same
projection length using linear slope extrapolation, giving a complete forward
context for the RSI forecast.
### What It Displays
RSI Line — main aqua line (standard RSI)
RSI EMA 12 — orange line tracking the short-term RSI average; crossovers
signal early momentum shifts
Bollinger Bands on RSI:
• Yellow middle band (SMA 14)
• Red upper band (overbought pressure zone)
• Green lower band (oversold pressure zone)
• Gray fill between bands
Forward Projection (dashed lines extending beyond last bar):
• RSI forecast path — averaged from historical analogs, color-coded by zone
• BB Upper extension — red dashed
• BB Lower extension — green dashed
• BB Basis extension — yellow dashed
• EMA 12 extension — orange dashed
Live RSI Label — current RSI value displayed next to the last bar,
color-coded in real time (red ≥ 70, green ≤ 30, aqua otherwise)
Forecast Label — projected RSI value shown at the end of the forward window
Info Table (top right):
• Matches found vs maximum
• Dominant directional bias (Up / Down / Flat)
• Direction distribution percentages
• Average, best-case, and worst-case price change across all matches
• Estimated RSI value N bars ahead
• Confidence score based on match count
### Confidence Score
≥ 10 matches → 90%
≥ 7 matches → 75%
≥ 5 matches → 60%
≥ 3 matches → 40%
< 3 matches → 20%
A warning is displayed on the table when fewer than 3 matches are found.
In this case, increase RSI Tolerance or Lookback to find more historical analogs.
### Inputs
RSI Period — RSI calculation length (default: 14)
RSI Source — price input for RSI (default: close)
Pattern Length — bars used to build the current pattern fingerprint (2–20, default: 3)
Projection Length — bars ahead to project all forward lines (1–20, default: 3)
RSI Tolerance — max RSI difference per bar allowed when matching (±0.5–10, default: ±4.0)
Lookback — historical bars to scan for matches (50–999, default: 500)
Max Matches — maximum historical matches to average (3–20, default: 10)
### How To Use
1. Add the indicator to any chart — it plots on a separate RSI panel
2. Check the info table for match count; if below 3, raise RSI Tolerance or Lookback
3. Read the dominant direction and confidence score for a quick bias assessment
4. Follow the dashed projection line to see where RSI is historically likely to go
5. Use the extended BB bands to anticipate whether RSI may reach overbought or
oversold territory within the projection window
6. Watch the EMA extension — if the projected RSI crosses above or below the
extended EMA, it can signal a momentum shift ahead
7. Compare the forecast RSI label against the 70 and 30 levels for reversal context
8. Use best-case and worst-case % change figures to frame risk/reward expectations
9. Higher timeframes (1H, 4H, Daily) generally produce cleaner RSI patterns
and more meaningful matches
### Best Used For
- Anticipating RSI direction before price confirms
- Identifying overbought/oversold exhaustion using historical analogs
- Spotting early momentum shifts via RSI EMA crossovers
- Using BB band position to contextualize RSI extremes
- Filtering trade entries with forward projection confluence
- Multi-layer RSI analysis combining pattern matching, bands, and trend
### Originality
This script combines four independent analytical layers into a single RSI panel:
a historical analog pattern matcher, a statistical forward projection engine,
Bollinger Bands applied to RSI (not price), and a linear slope extrapolation
system for all forward indicators. The specific combination — simultaneous RSI
and price direction fingerprinting, 60% direction alignment threshold, per-bar
averaged projection, and slope-based BB/EMA extension — represents the author's
own approach to making RSI forecasting both visual and statistically grounded.
### Disclaimer
This indicator is for educational and analytical purposes only. Pattern matching
based on historical RSI behavior does not guarantee future results. Past analogs
may not repeat. Always apply proper risk management and combine this tool with
additional analysis before making any trading decisions.
Short Description:
Scans historical RSI and price direction patterns to project the most likely RSI
path forward. Includes Bollinger Bands and EMA on RSI, full forward extension of
all indicators, directional bias stats, and a confidence score. Indicator
Strategy
Strategy
Camarilla Pivot Plays - MaazCamarilla Pivot Plays - Maaz is a institutional-grade quantitative workspace engine engineered for active intraday equity and futures traders. Designed to strip out raw market noise and address the flaws of standard layout pivot scripts, this system delivers an institutional-level view of daily support, resistance, and breakout structures based on Thor Young's classic trading playbook.
The indicator is split into two major algorithmic engines:
1. The Multi-Session Historical Alignment Engine
Unlike generic pivot indicators that pull simple daily data bars (often mixing regular and extended hours incorrectly), this script utilizes a complex multi-session memory snapshot pipeline. By calculating historical session boundaries and tracking extended-hours shifts (useEthForCams), the plots shift step-heights at the exact structural bars required to match professional configurations. It provides clean, un-cluttered stepline plots for:
CP (Central Pivot): The ultimate directional anchor boundary for the session.
R3 / S3: The dynamic range boundaries defining institutional value and traversal reversion loops.
R4 / S4: The critical breakout launchpads where institutional short squeezes or liquidations occur.
R6 / S6: Ultimate daily mathematical expansion targets.
2. The Integrated Precision HUD Panel
The system bypasses standard chart-clipping errors by embedding a stacked, comprehensive workspace dashboard in the top-right corner of your screen. This HUD continuously reads live price metadata to evaluate and display:
Trend Range Bias: Classifies the session macro structure as Higher Range, Lower Range, or Neutral.
Volatility Coiling Status: Classifies the pivot width as Wide or Narrow to instantly tell you whether you are in a range-fading or trend-breakout environment.
Suggested Play Actions: Tells you exactly what setup to watch for (e.g., Watch R4 for Outright Breakout Long) or shifts to bright yellow execution flags (TRIGGER ACTIVE) when levels break.
Pre-Calculated Target Prices: Explicitly states your Planned Entry Pivot Level and Planned Target Exit Level directly inside the table before the trade even triggers.
Institutional Filters: Provides live readouts of Daily Average True Range (ATR), Relative Volume (RVOL) to confirm big block-order breakouts, and an Institutional Net Flow Index tracking raw buy/sell delta pressure. Indicator
Indicator
1 Trendline Strategy🌟 1 Trendline Strategy: Liquidity Pool Breakout + HTF Trend Filter (Neon Edition)
Description:
This strategy is based on "Smart Money" concepts and trendline technical analysis. The core logic relies on identifying dynamic liquidity pools and trading their breakouts (liquidity sweeps), but strictly in the direction of the global trend.
The script is fully automated, features built-in ATR-based risk management, and includes custom neon visualization designed for maximum chart readability.
⚙️ How it Works?
1. Dynamic Liquidity Pools (Liquidity Zones)
The algorithm calculates significant highs and lows (Pivot High / Pivot Low) and projects dynamic channel zones forward in time.
When the price breaks the upper pool boundary (resistance), the strategy looks for a Short entry (bounce/liquidity sweep).
When the price breaks the lower pool boundary (support), a Long signal is generated.
2. HTF Trend Filter (Higher Timeframe Filter)
To avoid false entries against strong momentum, the strategy incorporates an advanced Higher Timeframe (HTF) filter. By default, it uses a 250 EMA on the 4-hour chart. Trades are opened only when two factors align:
For Long: Price is above the HTF EMA, and the moving average slope is pointing upwards.
For Short: Price is below the HTF EMA, and the moving average slope is pointing downwards.
(The trend filter can be easily disabled in the settings if you prefer to trade all pool breakouts).
3. Risk Management (ATR Stops & Targets)
Stop Loss and Take Profit levels are not arbitrary—they are dynamically calculated based on asset volatility (ATR indicator) at the exact moment a signal occurs. These fixed levels are held on the chart until the position is fully closed.
🎨 Visuals (Neon Colors)
The script's UI has been redesigned for a comfortable trading experience on a dark theme:
Lower Pools (Long zones): Highlighted in neon cyan (#00bcd4).
Upper Pools (Short zones): Highlighted in neon orange-yellow (#ff9800).
HTF Trend Indicator: The global trend line turns blue during an uptrend and white during a downtrend.
Position Levels: During an active trade, clean lines are drawn on the chart: Blue — Entry Price, Red — Stop Loss (SL), Green — Take Profit (TP). The lines break when the trade is closed, keeping your chart clean.
🎛 Main Settings (Inputs)
Period (Core Settings): Lookback period for finding Pivot points (default is 6).
Padding (Core Settings): The width of the liquidity pool channel.
Use Trend Filter: Toggle the higher timeframe filter on or off.
Trend Higher Timeframe & EMA Length: Set the timeframe and length of the trend-defining EMA (default is 240 min / 250 EMA).
ATR Length / SL Mult / TP Mult: Risk management settings (ATR multipliers for SL and TP calculations).
Disclaimer: This strategy is provided "as is" for educational purposes. It is highly recommended to backtest it on your preferred trading pairs and timeframes to find the optimal ATR multipliers and Pivot periods before risking real capital.
#SmartMoneyConcepts #SMC #Liquidity #LiquidityPools #BreakoutStrategy #TrendFilter #TradingStrategy #PineScript #ATR #RiskManagement #CryptoTrading #Forex Strategy
Indicator
HTF Session Sweep ModelHTF Session Sweep Model
The HTF Session Sweep Model is a session-based market structure tool designed to help traders observe how price interacts with the previous confirmed higher-timeframe candle during active trading sessions.
This script was created because session trading can become messy when traders manually mark multiple highs, lows, opens, boxes, sweeps, breakouts, and traps across different timeframes. Instead of adding unrelated indicators together, this model uses one central reference point: the previous confirmed HTF candle. Once an enabled session begins, the script maps that HTF candle’s high, low, midpoint, and optional session open level onto the chart. Price action during that session is then classified around that reference range.
The purpose of the script is not to predict price. The purpose is to provide a clean framework for reading session behaviour around a higher-timeframe range.
Core Concept
The script is built around the idea that the previous higher-timeframe candle can provide useful reference levels for intraday price behaviour. Its high and low can act as areas where liquidity may be taken, where breakouts may develop, or where failed breakouts may occur.
The model does not project the HTF candle before the session opens. It activates when an enabled session opens. At that point, it takes the most recent fully confirmed HTF candle and uses it as the active session reference.
This creates a consistent question for the trader:
How is price reacting around the previous confirmed HTF candle during the current session?
What Makes This Script Original
This script is not designed as a simple combination of unrelated indicators. The components are connected through one session-based model:
1. Session engine
The script allows users to enable Asia, London, and New York sessions. Each session can use its own time window and timezone setting.
2. HTF reference map
At the start of an enabled session, the script maps the previous confirmed HTF candle. This includes the HTF high, low, midpoint, optional candle body, and optional session open level.
3. Sweep model
The script checks whether price sweeps above the HTF high or below the HTF low. Users can choose between a basic wick sweep or a stricter sweep that requires price to close back inside the HTF range.
4. Delivery shift confirmation
After a sweep occurs, the script can wait for a delivery shift confirmation before marking a sweep entry. A bearish confirmation requires price to break below a recent low range after a high sweep. A bullish confirmation requires price to break above a recent high range after a low sweep.
5. Breakout model
If price closes and holds outside the HTF range, the script can classify the move as a breakout. Users can set how many bars price must hold beyond the range.
6. Displacement filter
The breakout model can optionally require stronger candle movement by comparing the candle body against ATR. This helps filter weaker breaks that do not show meaningful displacement.
7. Failed breakout trap model
If price breaks beyond the HTF high or low and then returns back inside the range, the script can classify that move as a failed breakout trap. A Bull Trap means price broke above the HTF high and failed back inside. A Bear Trap means price broke below the HTF low and failed back inside.
These parts work together because they all answer the same question: did price sweep the HTF range, accept beyond it, or fail after breaking it?
How The Script Calculates The Model
When a new enabled session begins, the script requests the previous confirmed candle from the selected higher timeframe. The selected HTF may be adjusted by the user, such as 1H, 2H, 4H, Daily, or Weekly.
The script then stores the following values:
* Previous HTF open
* Previous HTF high
* Previous HTF low
* Previous HTF close
* Previous HTF midpoint
* Current session open
These values become the session reference map.
During the active session, the script checks price against the HTF high and low.
High Sweep:
A high sweep is detected when price trades above the previous HTF high.
Low Sweep:
A low sweep is detected when price trades below the previous HTF low.
Close Back Inside Sweep Mode:
When this stricter mode is selected, a high sweep requires price to close back below the HTF high. A low sweep requires price to close back above the HTF low.
Sweep Entry:
A sweep entry is not triggered by the sweep alone. After a sweep, the script waits for a delivery shift confirmation using the selected lookback length.
Breakout Long:
A breakout long is detected when price closes above the HTF high and holds above it for the selected number of bars.
Breakout Short:
A breakout short is detected when price closes below the HTF low and holds below it for the selected number of bars.
Bull Trap:
A bull trap is detected when price breaks above the HTF high but later closes back below the HTF high.
Bear Trap:
A bear trap is detected when price breaks below the HTF low but later closes back above the HTF low.
Volume Filter:
The optional volume filter compares current volume against a moving average of volume multiplied by the selected volume multiplier. When enabled, sweep and breakout conditions must also pass the volume filter.
Bar Close Confirmation:
The script includes an option to confirm signals only after the bar closes. This is enabled by default to make signals more stable for alerts and historical review.
How To Use This Script
1. Choose the reference timeframe
Select the HTF candle you want to use as the session reference. Intraday traders may use 1H, 2H, or 4H. Higher-timeframe traders may prefer Daily or Weekly.
2. Enable the sessions you trade
The script supports Asia, London, and New York sessions. Users can enable or disable each session and adjust the session window and timezone.
3. Watch the HTF range during the session
Once the session opens, the script draws the previous confirmed HTF candle range. The high and low are the main reaction levels.
4. Read price behaviour around the range
If price sweeps a level and returns inside, it may indicate a liquidity sweep.
If price closes and holds outside the range, it may indicate breakout continuation.
If price breaks outside and then returns inside, it may indicate a failed breakout trap.
5. Use the labels as classifications, not automatic trade commands
The labels are designed to classify price behaviour. They are not guaranteed buy or sell signals.
6. Combine with your own confirmation
Users should combine this model with their own market context, risk management, higher-timeframe bias, and execution plan.
Main Visual Elements
HTF Range Box:
Shows the previous confirmed HTF candle range during the active session.
HTF Candle Display:
Optionally displays the previous HTF candle body and wick on the chart.
High and Low Lines:
Marks the previous HTF high and low.
Midpoint Line:
Marks the midpoint of the HTF range.
Session Open Line:
Marks the price at the open of the active session.
Sweep Marks:
Marks when price sweeps above or below the HTF range.
Sweep Entry Marks:
Marks when a sweep is followed by delivery shift confirmation.
Breakout Marks:
Marks when price closes and holds outside the HTF range.
Trap Marks:
Marks failed breakout conditions as Bull Trap or Bear Trap.
Dashboard:
Optional compact dashboard showing the current session, HTF reference, confirmation mode, state, high, low, and midpoint.
Important Settings
Reference HTF Candle:
Controls which higher timeframe is used for the previous confirmed candle reference.
Sweep Mode:
Choose between Wick Sweep or Wick Sweep + Close Back Inside.
Confirm Signals On Bar Close:
When enabled, signals confirm after candle close. This is recommended for cleaner historical review and alerts.
Delivery Shift Lookback:
Controls how many bars are used to confirm a shift after a sweep.
Breakout Hold Bars:
Controls how many bars price must remain outside the HTF range before a breakout is confirmed.
Displacement Filter:
Requires the candle body to be large enough compared with ATR before confirming a breakout.
Volume Filter:
Optional filter requiring current volume to exceed average volume by the selected multiplier.
Keep Historical Sessions:
When disabled, the chart stays cleaner by only showing the current/latest session map. When enabled, historical session maps can remain visible, with a limit to reduce chart clutter.
Visual Modes:
Clean mode is designed for normal use.
Stealth mode reduces visual intensity.
Debug mode makes internal reference levels easier to inspect.
Alerts
The script includes alert conditions for:
* HTF high swept
* HTF low swept
* Sweep short
* Sweep long
* Breakout long
* Breakout short
* Bull trap
* Bear trap
* Master alert for any model event
The master alert is included so users can create one alert condition instead of setting up many separate alerts.
Recommended Use
This script is best suited for traders who use session timing, higher-timeframe ranges, liquidity sweeps, breakout continuation, and failed breakout concepts.
It may be useful on intraday charts where Asia, London, and New York session behaviour matters. It can also be adjusted for different markets and timeframes by changing the reference HTF and session settings.
Limitations
This script does not predict future price movement. It classifies how price behaves around the previous confirmed HTF candle during active sessions.
A sweep does not guarantee a reversal.
A breakout does not guarantee continuation.
A trap does not guarantee a full trend change.
Volume data may behave differently depending on the market and symbol.
Session behaviour can vary across forex, crypto, futures, indices, and stocks.
This tool should be used as a market structure framework, not as a standalone trading system.
Originality And Usefulness Statement
The originality of this script is in how it combines session timing, previous confirmed HTF candle mapping, sweep classification, breakout confirmation, and failed breakout detection into one connected workflow.
The script is useful because it gives traders a structured way to observe whether price is taking liquidity, accepting outside a higher-timeframe range, or failing after a breakout attempt. Each component supports the same central model rather than acting as an unrelated indicator mashup.
Disclaimer
This indicator is for educational and analytical use only. It is not financial advice and does not guarantee trading results. Users are responsible for their own trading decisions, testing, and risk management.
Indicator
Elaris Mean Reversion ProElaris Mean Reversion Pro
Elaris Mean Reversion Pro is a multi-factor mean reversion indicator designed to help traders identify situations where price has moved significantly away from its statistical mean and may be entering a potential reversion phase.
The indicator combines adaptive deviation bands, volatility measurements, momentum filters, market regime analysis, and optional higher-timeframe confirmation to provide a structured framework for analyzing stretched market conditions.
Unlike simple overbought and oversold tools, Elaris Mean Reversion Pro allows users to customize how extremes are measured through Z-Score, ATR-based, or hybrid deviation models while incorporating optional confirmation layers such as RSI, MFI, volume, ADX, and higher-timeframe trend filters.
Key Features
• Multiple mean calculation methods including EMA, SMA, RMA, WMA, VWMA, and HMA.
• Three deviation models:
* Z-Score Bands
* ATR Bands
* Hybrid Bands
• Mean reversion signal engine with multiple confirmation styles:
* Extreme Touch
* Mean Reclaim
* Candle Rejection
• Optional RSI and MFI extreme-condition filters.
• ADX-based market regime filter to help identify environments where mean reversion conditions may be more relevant.
• Optional volume and volatility filters.
• Higher-timeframe confirmation framework.
• Signal quality scoring system.
• Dynamic mean, deviation bands, and reversion zones.
• Built-in dashboard displaying:
* Market state
* Z-Score
* Distance from mean
* Momentum readings
* Regime status
* Higher-timeframe bias
• Alert conditions for:
* Long mean reversion signals
* Short mean reversion signals
* Upper extreme zones
* Lower extreme zones
How It Works
The indicator calculates a central mean and measures how far price has deviated from that mean using statistical or volatility-based methods.
When price reaches an extreme deviation zone, the indicator evaluates additional confirmation factors such as candle behavior, momentum conditions, volatility, volume, and trend regime before generating a signal.
Signals are intended to highlight potential mean reversion conditions and should be evaluated alongside the trader's own market analysis and risk management process.
Non-Repainting
This indicator uses confirmed bar logic and higher-timeframe requests with lookahead disabled. Signals are generated using closed-bar information and do not intentionally repaint historical signals.
Notes
Mean reversion techniques may behave differently across various market conditions. Strong directional trends, high-impact news events, and volatility expansions can influence market behavior and should always be considered when interpreting indicator outputs.
This tool is designed for market analysis and educational purposes only and does not constitute financial advice.
Indicator
VWAP TrendVWAP Trend & Daily Map Execution by erdensedat
Description:
VWAP Trend is an advanced day-trading engine and market mapping tool designed for intra-day execution using purely objective price action metrics. Instead of relying on lagging oscillators, this indicator fuses VWAP (Volume Weighted Average Price) deviations, Daily Open levels, and an automated Previous Day High/Low (PDH/PDL) targeting system.
Key Features:
Dynamic Bias Engine: The indicator measures real-time alignment between the Daily VWAP and the Daily Open price. A "BULLISH PRESSURE" signal fires when price reclaims both key metrics, while a "BEARISH PRESSURE" signal fires when price breaks below them.
Smart Time Filter: Automatically ignores high-volatility chop during the initial hours of a session (default is set to hide major text signals before 07:00 exchange time).
Automated PDH/PDL Liquidity Targets: Previous Day Highs and Lows are tracked with a "Cut-on-Touch" system. When a signal is active, these levels act as objective take-profit zones. Once touched, the level is cut, and a "TARGET REACHED" label is placed automatically.
Multi-Timeframe Macro Dashboard: An unobtrusive, dark-mode compatible panel displays the macro environment (EMA 200 Main Trend, Weekly Bias, Weekly VWAP, Daily Bias) alongside live target levels.
Clean UI & 'Only Today' Mode: Avoid chart clutter. The indicator features an "Only Today" toggle that completely erases previous days' lines, bands, and signals every day at midnight, leaving you with a perfectly clean chart for the current session.
How to Use:
Observe the Main Dashboard for Macro Alignment (Weekly Bias & EMA 200).
Wait for the designated trading hour to begin (e.g., 07:00).
Look for a Bullish / Bearish Pressure alert (indicated by clean, background-free text and arrow markers).
Target the active PDH or PDL lines shown on the chart.
Alerts:
Includes a single, unified alert condition ("VWAP Trend Signal") that dynamically pushes "Bullish Pressure" or "Bearish Pressure" notification text upon bar close.
Disclaimer:
Disclaimer: The "VWAP Trend" indicator by erdensedat is provided for educational and informational purposes only. It is not financial advice, and you should not construct it as such. Trading in financial markets (including cryptocurrencies, forex, and equities) involves a significant risk of loss and is not suitable for all investors. Past performance of any trading system or methodology is not necessarily indicative of future results. Always conduct your own research and manage your risk. Indicator
Strategy
Candle Displacement [D4A]Quantifying Market Momentum
Spotting sudden, aggressive price action often called displacement doesn't have to be a guessing game. Finding who is in control - buyers or sellers - can be as easy as looking for candles with specific colors. The script objectively track these explosive price moves by comparing candle's range against multiple of ATR over a specific lookback period (ATR Length).
True displacement should create a gap or FVG (Fair Value Gap) which indicates strong price move in one direction and this script provides the logic to catch this specific scenario while filtering out noise. Additionally, the cript marks break-of-structure displacement candles to highlight the beginning of strong directional move or a reversal. There is also filter provided to find only candles with significant gap created (FVG threshold). This script works best on smaller timeframes, eg. 1m or 5m.
SETTINGS
- Displacement - show displacement candles
- Min Body % - displacement candle should have at least this body size compared to whole candle range
- Require FVG - filters out the candles which don't create a gap. True displacement should create FVG
- Threshold - a valid FVG should be larger than this ATR multiplier
- Highlight candles which broke structure - color-codes the candles that broke recent market structure (high or low)
- Bars to define recent high/low (structure) - how many bars back should the script look to find recent high or low
- ATR length - ATR value over period of time to calculate average candle range
- Multiplier - used to find candles which are this times bigger than average ATR
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Disclaimer
The content provided in this script is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. 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. Indicator
Liquidity & Volume Profile Framework [invincible3]Liquidity & Volume Profile Framework
The Liquidity & Volume Profile Framework is a price-action and volume-profile framework designed to help traders identify high-probability trading zones using liquidity, value area structure, fair value gaps, and volume confirmation.
This indicator is built around the idea that strong trades usually happen when price reacts around important institutional zones such as POC, VAH, VAL, HVN/LVN areas, and liquidity pools created around equal highs and equal lows.
The tool does not simply give random buy or sell signals. Instead, it maps the market structure so the trader can wait for proper confluence before entering.
Core Concept
This indicator follows a structured institutional trading workflow:
Step 1 — Read the Market Structure
The indicator identifies key volume-profile levels:
POC — Point of Control
The price level with the highest volume concentration inside the selected lookback range.
VAH / VAL — Value Area High and Value Area Low
The upper and lower boundary of the value area, based on the selected value-area percentage.
HVN / LVN Zones
High-volume and low-volume areas are displayed as volume-profile bars.
HVN zones can act like magnets, while LVN zones often behave like thin liquidity zones where price can move quickly.
BSL / SSL Liquidity Pools
The indicator tracks swing highs and swing lows to identify potential buy-side liquidity and sell-side liquidity.
Step 2 — Wait for a Trigger
The indicator highlights possible institutional reaction triggers:
Liquidity Sweep
A bullish sweep occurs when price takes out a prior swing low and closes back above it.
A bearish sweep occurs when price takes out a prior swing high and closes back below it.
This helps identify possible stop-hunt behavior around liquidity pools.
Fair Value Gap — FVG
Bullish and bearish imbalance zones are detected automatically.
These areas can act as retracement zones where price may return before continuation.
VA / POC Touch
Reactions around VAH, VAL, or POC can provide important confluence when combined with sweep or FVG logic.
Step 3 — Confirm with Volume
The indicator includes a volume spike condition.
A volume spike is detected when current volume is greater than the selected moving-average volume multiplied by the chosen spike multiplier.
By default, the logic uses:
Volume > 1.5 × Average Volume
This helps highlight moments where institutional participation may be stronger than normal.
Step 4 — Entry Logic
The strongest setups usually appear when multiple conditions align in the same zone:
Liquidity sweep + FVG fill + VAH / VAL / POC reaction + volume spike
Example bullish setup:
Price sweeps sell-side liquidity below a prior swing low, closes back above the level, returns into a bullish FVG, reacts near VAL or POC, and shows increased volume.
Example bearish setup:
Price sweeps buy-side liquidity above a prior swing high, closes back below the level, returns into a bearish FVG, reacts near VAH or POC, and shows increased volume.
Step 5 — Risk Framework
The indicator is designed to support structured risk planning:
Stop Loss
Usually placed just beyond the swept liquidity level.
Target 1
Often the POC or opposite value-area boundary.
Target 2
The opposing liquidity pool or major high-volume / low-volume area.
Visual Legend
Orange line — POC
Dotted adaptive lines — VAH / VAL
Gold bars — High-volume areas / HVN
Purple bars — Low-volume areas / LVN
Green dashed sweep line — Sell-side liquidity sweep
Red dashed sweep line — Buy-side liquidity sweep
Green boxes — Bullish Fair Value Gaps
Red boxes — Bearish Fair Value Gaps
Gold circles — Volume spike confirmation
Main Features
Automatic fixed-lookback volume profile
POC, VAH, and VAL calculation
High-volume and low-volume profile bars
Bullish and bearish liquidity sweep detection
Buy-side and sell-side liquidity mapping
Automatic bullish and bearish FVG zones
FVG extension until fill or expiry
Volume spike confirmation using volume moving average
Theme-adaptive colors for dark and light charts
Institutional-style visual framework
Clean overlay design for price-action trading
Best Timeframes
This tool works best when used with a top-down approach.
For structure:
4H / Daily
For entries:
15m / 1H
Recommended workflow:
Use higher timeframe to identify POC, VAH, VAL, HVN, LVN, and major liquidity pools.
Then use lower timeframe to wait for liquidity sweep, FVG reaction, rejection candle, and volume confirmation.
Suggested Settings
For intraday trading:
VP Lookback: 100–200
VP Rows: 40–60
Value Area: 70%
Pivot Length: 5–10
Volume MA: 20
Volume Spike Multiplier: 1.5
For swing trading:
VP Lookback: 200–300
VP Rows: 50–80
Value Area: 70%
Pivot Length: 10–20
Volume MA: 20–50
Volume Spike Multiplier: 1.5–2.0
Important Notes
This indicator is not a standalone buy/sell signal system.
It is a confluence framework.
The highest-quality trades usually occur when liquidity, volume profile, imbalance, candle rejection, and volume confirmation all align in the same area.
Always wait for candle-close confirmation before entering.
Use proper stop loss and risk management. Indicator
Kinetic Momentum & Capitulation Model (KMCM)🚀 KMCM Adaptive Regime Oscillator (KMCM)
The KMCM (Kinetic Momentum & Capitulation Model) is a volatility-adaptive market regime oscillator designed to quantify directional energy imbalance by integrating price momentum, volume mass dynamics, and statistical energy dispersion into a single bounded regime signal. Rather than treating price as a simple time series, KMCM reconstructs market behavior as an energy system where movement intensity is jointly determined by velocity and participation.
The core objective of KMCM is to detect regime transitions between momentum expansion, neutral equilibrium, and capitulation-driven stress phases. It does this by modeling market activity as a normalized kinetic system and transforming the resulting distribution into a bounded oscillator ranging approximately between -100 and +100.
Unlike traditional momentum indicators that rely primarily on price derivatives (ROC, RSI, MACD), KMCM incorporates volume-adjusted mass and volatility-adaptive scaling. This allows the indicator to remain structurally stable across different volatility regimes and asset classes while preserving sensitivity to regime shifts.
💡 Key Features
🧠 Kinetic Market Model:
KMCM interprets market behavior as a simplified physical system where price velocity represents momentum and volume represents mass. The resulting “energy” formulation captures the intensity of participation behind directional moves rather than price movement alone.
📊 Volume-Normalized Mass Scaling:
Volume is normalized against its adaptive moving average to construct a relative participation metric. This ensures that abnormal volume expansions or contractions are properly reflected in regime intensity rather than absolute scale distortions.
🔬 Volatility-Adaptive Period Engine:
All internal computation windows are dynamically adjusted using ATR-based volatility ratios. This prevents overfitting to fixed time horizons and ensures that the model self-adapts to changing market regimes.
⚡ Statistical Energy Transformation:
Directional energy is derived from velocity-squared magnitude scaled by participation mass, then standardized using z-score normalization. This produces a statistically consistent representation of market stress and expansion phases.
🛡️ Nonlinear Compression Layer:
A hyperbolic tangent transformation compresses raw statistical output into a bounded oscillator space. This preserves extreme regime information while preventing signal saturation during high volatility events.
📉 Dual-Threshold Regime Logic:
Market conditions are classified into three primary states:
* Expansion Regime (Above Upper Threshold): Strong directional imbalance and momentum continuation pressure
* Neutral Regime (Between Thresholds): Balanced market structure and reduced directional conviction
* Capitulation Regime (Below Lower Threshold): Stress-driven liquidation dynamics and downside exhaustion phases
🔬 Mathematical Logic and Structure
KMCM is built on a multi-layer statistical energy framework that converts raw market microstructure into a normalized regime oscillator.
The process begins by computing velocity as a rate of change over an ATR-adaptive window. This velocity is then combined with a volume-derived mass factor, which represents relative participation intensity compared to its historical baseline.
A kinetic energy proxy is constructed by squaring velocity and scaling it with normalized mass. This formulation ensures that large directional moves with strong participation are weighted disproportionately higher than low-volume price fluctuations.
To stabilize the signal, directional energy is standardized using a rolling mean and standard deviation, producing a z-score representation of market imbalance. This step transforms raw energy into a distribution-aware signal that is comparable across time and assets.
The z-score output is then passed through a hyperbolic tangent function, compressing it into a bounded regime oscillator. This step ensures nonlinear saturation control while preserving structural extremes.
Finally, exponential smoothing is applied to reduce microstructure noise, and slope filtering is used to eliminate short-term directional instability. This results in a stable regime oscillator that prioritizes structural shifts over transient fluctuations.
In essence, KMCM does not attempt to predict price direction. It models the *intensity and structure of market participation* as a kinetic system and translates it into a unified regime framework of expansion, neutrality, and capitulation.
🛠️ How to Use
1. Expansion Regime (Above Upper Threshold):
Indicates strong directional momentum supported by elevated participation. Trend continuation strategies and breakout positioning are statistically favored.
2. Capitulation Regime (Below Lower Threshold):
Represents forced liquidation, panic-driven behavior, or exhaustion of selling pressure. Reversal or mean reversion structures become more relevant.
3. Neutral Regime (Between Thresholds):
Signals equilibrium conditions where directional conviction is weak. Range-based strategies or reduced exposure conditions are more appropriate.
🎛️ Settings
* Minimum Velocity Period (7–21): Controls sensitivity of momentum detection
* Volume Period (30–150): Defines adaptive participation baseline
* Upper Threshold (30): Expansion boundary for regime classification
* Lower Threshold (-30): Capitulation boundary for regime classification
* Smoothing Length (7 EMA): Stabilization layer for signal refinement
📌 Credits and Origins
KMCM is engineered by @gunebak4n as a volatility-adaptive kinetic regime framework designed to unify momentum, volume, and statistical dispersion into a single structural oscillator. The model is intended for regime-based analysis rather than directional prediction, emphasizing structural transitions over raw price movement.
The design prioritizes robustness across volatility regimes, making it suitable for discretionary traders, quantitative researchers, and systematic strategy development workflows focused on regime awareness.
⚠️ Disclaimer
All outputs generated by KMCM are probabilistic and non-deterministic. This indicator does not predict future price direction or guarantee outcomes. It is a structural market analysis tool intended to support decision-making under uncertainty. Proper risk management is required at all times.
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