Inizia

Indicatori e strategie

ATR Fibonacci Trend Envelopes [BigBeluga]ATR Fibonacci Trend Envelopes is a professional-grade trend-following and mean-reversion framework. It combines the volatility-filtering power of Average True Range (ATR) with the mathematical precision of the Fibonacci Golden Ratio to define high-probability "buy/sell pockets" within an established trend. Equipped with a live Multi-Timeframe (MTF) dashboard, this indicator allows traders to monitor trend alignment across four different time horizons simultaneously, ensuring that local entries are always supported by the broader market structure. 🔵 THE DUAL-ENGINE FRAMEWORK Volatility-Adjusted Trend Engine: The indicator uses a customizable Moving Average (SMA, EMA, HMA, etc.) combined with an ATR multiplier to create dynamic envelopes. This filters out market noise and only signals a trend change when price decisively breaks the volatility boundary. Dynamic Golden Pocket (0.618 - 0.786): Unlike static retracements, these Fibonacci levels are calculated relative to the current ATR envelope. The "Pocket" acts as a high-interest zone where price is expected to find support (in uptrends) or resistance (in downtrends). Predictive Slope Projections: Using the current rate of change, the script projects the trend and Fibonacci levels into the future. This allows traders to visualize where "Value" will be in the coming bars, facilitating better trade planning and order placement. 🔵 CORE ARCHITECTURE MTF Alignment Dashboard: A real-time table tracks the trend status and "Pocket" proximity across four timeframes. A "BULL" status combined with an "INSIDE" pocket signal across multiple timeframes indicates a high-confluence institutional setup. Dynamic Transparency Feedback: The visual intensity of the Golden Pocket adapts based on price proximity. As price approaches the mid-point of the pocket, the colors become more saturated, providing an intuitive visual cue that the market is entering a high-probability reversal zone. Momentum-Driven Basis: The trend baseline (1.0 level) acts as the ultimate anchor. As long as price remains above this volatility-adjusted line in a bullish regime, the trend is considered structurally sound. 🔵 FEATURES Multi-MA Versatility: Choose from 5 different moving average types to calculate your trend basis, allowing the indicator to be tuned for slow-moving macro trends or fast-moving scalping setups. Real-Time Level Labels: Clear, real-time labels (0.5, 0.618, 0.786, 1.0) on the right axis provide exact price targets and stop-loss anchors at a glance. Customizable Projection Length: Adjust how far the indicator looks into the "future," allowing you to anticipate structural shifts before they occur on the chart. Adaptive UI Positioning: The dashboard can be moved to any corner of the chart and scaled to match your screen resolution, ensuring it never interferes with your technical analysis. 🔵 STRATEGIC APPLICATION The "Golden" Pullback: In a confirmed Bull trend (Cyan baseline), wait for price to enter the Dynamic Golden Pocket. Use the saturation of the baseFill color to identify the core of the value zone for a long entry. MTF Confluence Trading: Only take trades when at least three timeframes on the dashboard show the same trend direction. If the 1H and 4H are "BULL" while the 15m enters the "INSIDE" pocket, you have a high-probability trend-continuation setup. Volatility Breakouts: Monitor the distance between the baseline and the 0.5 Fib. When the ATR-based envelopes contract, a volatility breakout is imminent. A "⦿" label signal combined with a price cross of the 1.0 level marks the start of a new momentum cycle. Dynamic Exit Planning: Use the projected 0.5 or 0.618 levels as trailing profit targets. Because these levels adjust for both price and volatility, they represent a mathematically "fair" area to take chips off the table. ATR Fibonacci Trend Envelopes bridges the gap between classic technical analysis and modern volatility modeling. By combining MTF awareness with the natural pull of the Fibonacci ratios, it provides a clear, actionable map for navigating any market condition.
Indicatore Pine Script®
di BigBeluga
7
Quarterly Theory Cycles [Oracle]WHAT THIS INDICATOR DOES Quarterly Theory Cycles is a multi-layer time cycle visualisation tool that plots up to 8 nested Quarterly Theory cycles simultaneously — from Nano sessions all the way up to the Quadrennial cycle. Each cycle is divided into its four quarters (Q1 through Q4) and displayed as color-coded boxes, either in a dedicated sub-pane below the chart or directly overlaid on price as clean on-chart boxes that auto-scale to your visible price action. It is a purely graphical time tool. It shows you exactly where you are within every layer of the Quarterly Theory time structure at a glance, without cluttering your chart with unnecessary drawings or data. THE CONCEPTS — WHAT EACH ONE IS AND HOW IT IS CALCULATED Quarterly Theory Time Cycles Quarterly Theory, as taught by TraderDaye, divides trading time into nested cycles where each cycle is split into four quarters. These quarters represent a repeating sequence: Q1 — Accumulation. The cycle's range is being established. This phase is required for a cycle to occur. Q2 — Manipulation. The cycle transitions from accumulation into distribution. The opening price of Q2 is the True Open — a key reference level for premium/discount analysis. Q3 — Distribution. This is where the main move of the cycle typically occurs. Q4 — Reversal or Continuation. The cycle either reverses or continues into the next cycle. This A-M-D-X sequence repeats at every scale of time. The indicator computes cycle boundaries for 8 nested levels, each one being a subdivision of the level above it. The 8 Cycle Layers Quadrennial Cycle The longest cycle, spanning four years. The indicator assigns quadrennial quarters based on the year modulo 4. Each quarter represents one calendar year within a four-year macro cycle. Yearly Cycle The year is divided into four quarters of three months each, analogous to financial quarters: Q1 — January, February, March Q2 — April, May, June (True Open at April open) Q3 — July, August, September Q4 — October, November, December The indicator detects yearly quarter transitions by checking when the month crosses into a new calendar quarter. Monthly Cycle Each month is divided into four weekly quarters. The cycle starts on the first trading week of the month (detected by the Sunday session open), and each subsequent week represents the next quarter. Months with a 5th week produce a Q0 (joker week). The indicator detects monthly quarter transitions by checking when a new trading week begins at the Sunday session open and tracking how many weeks have elapsed since the month started. Weekly Cycle The trading week is divided into four daily quarters. Following Quarterly Theory, Friday and Sunday's small session are excluded from the main cycle: Q1 — Monday Q2 — Tuesday (True Open at Tuesday's daily open) Q3 — Wednesday Q4 — Thursday Q0 — Friday The indicator assigns weekly quarters based on the day of the week relative to the Sunday 18:00 ET session open. Daily Cycle The trading day is divided into four 6-hour sessions: Q1 — 18:00 to 00:00 (Asian session) Q2 — 00:00 to 06:00 (London session, True Open at midnight NY time) Q3 — 06:00 to 12:00 (New York AM session) Q4 — 12:00 to 18:00 (New York PM session) The indicator calculates daily quarter boundaries using the hour of day relative to the exchange-specific day-start anchor. 90-Minute Cycle Each daily session quarter (6 hours) contains four 90-minute cycles. The indicator computes these by dividing elapsed time from the day-start anchor into 90-minute intervals and determining which quarter of the interval the current bar falls in. Micro Cycle Each 90-minute cycle divides into four quarters of 22.5 minutes each — known as Micro Sessions. The indicator uses millisecond-precision interval arithmetic to compute these boundaries, accounting for the half-minute offset (22 minutes 30 seconds per quarter). Nano Cycle The finest resolution — each Micro Session divides into four Nano quarters of approximately 5 minutes 37.5 seconds each. The indicator computes these using sub-minute timestamp arithmetic and is only relevant on sub-minute chart timeframes (15s, 30s, 45s). Exchange-Specific Day Start All cycle calculations anchor to the correct trading day start time based on your broker's exchange: CME / CBOT futures — 17:00 ET FX brokers (FXCM, OANDA, FOREXCOM) — 18:00 ET Crypto exchanges (Binance, Kraken, Coinbase, etc.) — 22:00 UTC This ensures cycle boundaries align correctly regardless of which broker or asset class you are charting. HOW THE DISPLAY WORKS Sub-Pane Mode (Default) The indicator renders in a separate pane below your chart. Each cycle layer occupies its own horizontal lane, stacked vertically — Nano at the top, Quadrennial at the bottom. Each quarter within a cycle is drawn as a coloured box that extends from the quarter's start bar to its end bar. Box colours correspond to quarters: Q1, Q2, Q3, Q4, and Q0 each have a configurable colour. Each box is labeled with the quarter name. For certain cycles, contextual labels are used instead of generic quarter numbers — for example, the daily cycle shows "Asia," "London," "NY am," and "NY pm," while the weekly cycle shows "Monday" through "Friday." This gives you a complete, at-a-glance view of where you are within every layer of the time structure simultaneously. On-Chart Mode The indicator can also display cycles directly overlaid on your price chart as colored boxes that float above the candles. In this mode, only the chart timeframe's corresponding cycle is shown (e.g., on a 5m chart, the 90-minute cycle is displayed on-chart). The on-chart boxes automatically scale their vertical position based on your visible price action — they track the highest high and use the average bar range to position themselves cleanly above price without overlapping candles. Quarter divider lines extend vertically through the full price range. An option to show the previous completed cycle during Q1 keeps the prior cycle's boxes visible at the same height, so you can reference the previous cycle's quarter structure while the new cycle is just beginning. On-chart mode can be used alongside the sub-pane, or exclusively by enabling "Only" mode which hides the sub-pane entirely. Automatic Layer Selection By default, the indicator automatically determines which cycle layers to display based on your chart timeframe. You configure how many layers you want visible (1 to 8), and the indicator selects the appropriate layers ascending from your chart's native cycle level. For example, on a 5m chart with 3 layers, you see the 90-minute, daily, and weekly cycles. On a 15m chart with 3 layers, you see the daily, weekly, and monthly cycles. This keeps the display relevant without manual configuration. Alternatively, manual mode lets you toggle each of the 8 cycle layers independently regardless of your chart timeframe. HOW THE CONCEPTS WORK TOGETHER The nested cycle structure is not 8 independent timers running in parallel — they are a single fractal hierarchy where each level is a subdivision of the one above it: The quadrennial cycle provides the macro context. Where you are in the 4-year cycle influences yearly bias — Q1 years tend to accumulate, Q3 years tend to distribute. The yearly cycle narrows to the current quarter. Within the macro context, you know whether the year is in accumulation (Jan-Mar), manipulation (Apr-Jun), distribution (Jul-Sep), or reversal (Oct-Dec). The monthly cycle positions you within the month. Week 1 is accumulation, week 2 begins distribution from the True Monthly Open. The weekly cycle positions you within the week. Monday accumulates, Tuesday begins manipulation from the True Weekly Open, Wednesday distributes, Thursday reverses. The daily cycle positions you within the session. Asia accumulates, London manipulates from the True Daily Open (midnight), NY AM distributes, NY PM reverses. 90-minute, micro, and nano cycles provide execution timing. Within the broader directional context set by the higher cycles, these lower cycles tell you exactly when within a session the accumulation, manipulation, distribution, and reversal phases occur at the finest resolution. Seeing all of these layers simultaneously lets you identify when multiple cycles are in the same phase — for example, when the weekly Q3 (distribution), daily Q3 (NY AM distribution), and 90-minute Q3 (distribution within the session) all align, you know you are in a high-probability distribution window across the entire time fractal. WHY USE THIS INDICATOR Several Quarterly Theory cycle indicators exist on TradingView. Here is what makes this one different: On-chart cycle display. Most QT cycle tools only render in a separate sub-pane. This indicator can overlay cycles directly on your price chart as auto-scaling boxes that float cleanly above candles, giving you the cleanest possible view of where you are in the cycle without splitting your attention between panes. The previous-cycle carry-over during Q1 is a unique touch that no other cycle indicator offers. 8 nested layers computed simultaneously. From Nano (5.6 minutes) to Quadrennial (4 years), every layer is calculated and available. Most cycle tools cover 4 to 6 levels at most. Contextual quarter labels. Instead of generic Q1/Q2/Q3/Q4 everywhere, the indicator displays session names (Asia, London, NY AM, NY PM), day names (Monday through Friday), and week numbers where appropriate, making it immediately readable. Automatic layer selection. Choose how many layers you want and the indicator picks the right ones for your timeframe. No manual configuration needed unless you want it. Full exchange support. Day-start anchors automatically adjust for futures, FX, and crypto exchanges, ensuring cycle boundaries are correct regardless of your broker. If you are a Quarterly Theory trader, this is the simplest and cleanest way to always know exactly where you are in every layer of the time structure. HOW TO USE IT Add the indicator to your chart. It immediately displays the appropriate cycle layers for your timeframe in the sub-pane. Each coloured box represents one quarter of a cycle. Use the default colors or customize Q1/Q2/Q3/Q4/Q0 colours to your preference. Read the labels inside each box to know which quarter and session you are in. Enable on-chart mode to overlay cycles directly on your price chart for a cleaner workflow. Adjust the number of layers (1 to 8) to control how much time structure you see — fewer layers for simplicity, more for complete fractal context. Use manual mode if you want to toggle specific cycle levels independently. Combine with other Quarterly Theory tools — use the cycle display to know when you are in a Q2 manipulation or Q3 distribution phase, then look for SSMTs, PSPs, or tCISDs within that context. SETTINGS OVERVIEW Cycles — Manual/auto mode toggle, number of layers to show (1-8), individual cycle toggles for manual mode On-Chart — On-chart overlay toggle, exclusive on-chart mode, previous cycle visibility during Q1 Colours — Q1/Q2/Q3/Q4/Q0 box colours, text colour, divider line colour/width/style SUPPORTED TIMEFRAMES 15s / 30s / 45s — Nano + Micro cycles and above 1m / 3m — Micro cycles and above 5m — 90-minute cycles and above 15m — Daily cycles and above 1H / 90m — Weekly cycles and above 4H / 6H — Monthly cycles and above 1D — Yearly cycles and above 1W — Quadrennial cycle 1M — Quadrennial cycle INDICATOR SETTINGS/FILTERS Here is an inside look of how the Quarterly Theory Cycles looks: DISCLAIMER This indicator is for educational and informational purposes only. It does not constitute financial advice. Trading involves substantial risk of loss. Always use proper risk management and conduct your own analysis. CREDITS Developed by Danielliuks (z3nius) and bucko. Conceptual framework based on ICT (Michael Huddleston) and Quarterly Theory as taught by TraderDaye.
Indicatore Pine Script®
di buckotrades
3
Volatility Gated Supertrend [BackQuant]Volatility Gated Supertrend Overview Volatility Gated Supertrend is a regime-aware trend-following indicator built around a modified Supertrend engine with an integrated volatility filter . Unlike a traditional Supertrend, which flips direction whenever price crosses its trailing bands, this version introduces a gating mechanism that can block trend reversals during low-volatility conditions . The purpose of the indicator is simple: Keep the responsiveness and structure of a Supertrend. Reduce false flips during sideways or compressed conditions. Allow trend transitions primarily when volatility is expanding enough to justify participation. The result is a smoother and more selective trend engine designed to suppress whipsaws while still reacting to meaningful directional movement. The full source structure for the indicator can be referenced here: :contentReference {index=0} Core idea Traditional Supertrend indicators work well during directional markets but struggle in compressed environments: Price repeatedly crosses the trailing bands. Trend direction flips too frequently. False reversals appear during chop. This indicator attempts to solve that problem by asking: “Is there enough volatility expansion to justify accepting a new trend?” Instead of blindly allowing every flip, the indicator measures: Current volatility, Baseline volatility, Relative expansion or compression. Only when volatility conditions are sufficient does the trend engine allow a directional transition. What the Supertrend is The Supertrend is a volatility-based trailing trend indicator built from: ATR (Average True Range) A central price source A directional trailing stop structure The classic logic: Upper band = price source + ATR × multiplier Lower band = price source − ATR × multiplier These bands trail price dynamically: In bullish conditions, the lower band ratchets upward. In bearish conditions, the upper band ratchets downward. When price crosses one of the bands: The trend flips direction. This creates a clean directional regime model. How this version differs The major difference is the volatility gate . A normal Supertrend asks: “Did price cross the band?” This indicator asks: “Did price cross the band, and is volatility strong enough to trust the move?” That additional filter dramatically changes behavior in sideways conditions. ATR and volatility structure The indicator uses two ATR measurements: Fast ATR → current short-term volatility Slow ATR → baseline long-term volatility The core ratio: Volatility Ratio = Fast ATR / Slow ATR Interpretation: Ratio above threshold → volatility expansion Ratio below threshold → volatility compression This becomes the gate logic. Volatility Gate Logic The gate opens only when: Fast ATR / Slow ATR ≥ Gate Threshold If volatility is too compressed: The gate closes. Trend flips are blocked. Importantly: The Supertrend bands still calculate normally. Price can still cross them. But the directional state will not update while the gate is closed. This distinction matters because it means: The market may technically trigger a reversal, But the indicator intentionally ignores it if volatility conditions are weak. Why this helps Most trend-following systems fail in chop because: Small meaningless moves trigger directional flips. There is insufficient range expansion. The market lacks trend persistence. By requiring volatility confirmation: Weak reversals are filtered out. Trend state becomes more stable. Noise is reduced. This makes the indicator particularly useful during: Low-volatility consolidations, Mean-reverting conditions, Slow drifting ranges. Band construction The indicator uses: hl2 as the central source, ATR for dynamic width, A configurable multiplier for sensitivity. Formulas: Upper Band = hl2 + ATR × multiplier Lower Band = hl2 − ATR × multiplier The trailing logic prevents the bands from moving backward unnecessarily: Bullish lower band only rises. Bearish upper band only falls. This creates the staircase-style trailing structure common in Supertrend systems. Trend state Trend direction is binary: 1 = bullish -1 = bearish A raw bullish flip occurs when: Close > trailing upper band A raw bearish flip occurs when: Close < trailing lower band However: The trend only updates if the volatility gate is open. This is the defining behavior of the script. Blocked flips One of the most important features is the visualization of blocked signals . When: Price crosses a band, But volatility is insufficient, The script: Plots an X-cross marker, Keeps the existing trend state, Refuses the flip. This gives traders visibility into: Potential but unconfirmed reversals, Areas of weak participation, Fake breakouts or low-energy transitions. Visual behavior Trend band The active trailing band changes color based on trend direction: Bullish → bullish color Bearish → bearish color Gate closed → gated color (dimmed) Trend fill The script fills the space between price and the active band: Bullish fill during bullish regimes Bearish fill during bearish regimes This creates a cleaner directional overlay. Outer glow An additional glow layer expands slightly beyond the trend band: Adds directional emphasis, Improves trend readability, Visually reinforces active regime. When the gate closes: The band and candles dim. This visually communicates: “The trend engine is currently suppressing flips.” Candle coloring Candles can optionally inherit the trend state: Bullish regime → bullish candles Bearish regime → bearish candles Gate closed → dimmed neutral appearance This allows the indicator to function as a full-chart regime overlay. Signal logic Bullish signal Occurs when: Trend flips from bearish to bullish, AND the gate is open. Bearish signal Occurs when: Trend flips from bullish to bearish, AND the gate is open. Blocked signal Occurs when: A raw flip condition appears, BUT volatility ratio is below threshold. This distinction is important: A blocked signal is not ignored information. It is a rejected transition. How to interpret the gate Gate open Volatility is active. Market expansion is sufficient. Trend flips are allowed. Gate closed Market is compressed. Conditions are likely choppy. Trend reversals are suppressed. This effectively turns the indicator into a: Trend-following system during expansion, Trend-holding system during compression. Why ATR ratio works well ATR ratio is a powerful regime detector because it measures: Current volatility relative to normal volatility. Not just: “Is volatility high?” But: “Is volatility high relative to its recent baseline?” This adaptive behavior allows the gate to work across: Different assets, Different timeframes, Different volatility environments. Input guide ATR Multiplier Controls band width: Higher = wider bands, fewer flips Lower = tighter bands, more sensitivity ATR Length Controls volatility calculation for the Supertrend itself. Fast ATR Short-term volatility measure. Slow ATR Long-term baseline volatility measure. Gate Threshold Controls how strict the gate is: Lower threshold = more permissive Higher threshold = more restrictive Example: 0.6 → allows more flips 1.0 → requires current volatility to match baseline 1.2 → requires expansion regime Strengths Reduces Supertrend whipsaws in chop. Adds regime awareness. Uses adaptive volatility filtering. Clean trend visualization. Blocked-signal logic provides extra context. Limitations Can delay reversals during early expansion. Very high thresholds may suppress legitimate transitions. Still fundamentally a trend-following system. Not designed for low-volatility mean reversion trading. Best use case Volatility Gated Supertrend works best as: A directional regime filter, A swing trend overlay, A volatility-aware trend confirmation tool, A way to suppress noise during consolidations. It is particularly useful for traders who: Like Supertrend logic, But dislike how often it flips in sideways markets. Summary Volatility Gated Supertrend extends the classic Supertrend framework by introducing a volatility-aware gating engine that blocks trend reversals during compressed market conditions. By comparing fast ATR against slow ATR, the script determines whether enough volatility expansion exists to justify a directional transition. The result is a cleaner, more stable trend system that retains the strengths of Supertrend logic while dramatically reducing whipsaws during low-energy market regimes.
Indicatore Pine Script®
di BackQuant
2
RSI Pivot Break System + TP/SL█ OVERVIEW RSI Pivot Break System + TP/SL is a technical tool that detects RSI-filtered price pivots, draws support and resistance levels, and generates breakout signals together with a complete trade setup – Stop Loss and three Take Profit levels based on Risk-Reward ratios. The indicator combines classic pivot analysis with RSI momentum filtering. As a result, signals appear only when local highs or lows are confirmed by overbought or oversold market conditions. Filtering pivots through RSI can also reduce the time needed to detect important pivots. Pivots forming inside Overbought/Oversold zones often represent the ending phase of local impulsive moves, which is why the default pivot length is set to a low value of 2. After a breakout occurs, the indicator automatically creates a complete position visualization: • entry level, • Stop Loss, • TP1 / TP2 / TP3, • risk and reward zones. █ CONCEPTS The indicator was designed as a combination of price action, pivot analysis, and RSI momentum within a single breakout system. Classic pivots often generate too many low-significance levels. Here, every pivot must additionally be confirmed by RSI: • a pivot HIGH is created only when RSI is inside the overbought zone, • a pivot LOW is created only when RSI is inside the oversold zone. This allows the indicator to focus only on more significant local market extremes. Pivot High and Pivot Low Local price highs and lows detected using a specified number of candles on both sides. • Pivot HIGH creates a potential resistance level • Pivot LOW creates a potential support level Once detected, the indicator automatically draws a horizontal level extended to the right. RSI Filter A pivot is accepted only when RSI meets a specific condition: • for HIGH pivots → RSI ≥ overbought level • for LOW pivots → RSI ≤ oversold level This helps filter out many weak or random pivots. The number of detected pivots can additionally be adjusted by modifying the Overbought/Oversold levels: • adjusting Overbought/Oversold levels allows you to increase or decrease the number of detected pivots. Breakout A signal appears when a level is broken: • breakout above resistance → BUY • breakout below support → SELL After the breakout, the level can either: • remain on the chart, or • be automatically removed. RSI Signal Filter An optional additional filter can block signals during extreme RSI conditions: • BUY signals can be blocked when RSI is too high • SELL signals can be blocked when RSI is too low This helps avoid entries after heavily extended moves. TP/SL with Risk-Reward After every signal, the indicator automatically calculates: • entry level (close price of the breakout candle), • Stop Loss, • three Take Profit levels based on selected RR ratios. SL can be calculated: • using ATR × multiplier, or • as a percentage from the entry price. █ FEATURES 1. Pivot Settings • Pivot Length – number of candles required to confirm a pivot. Lower values = more signals and faster pivot detection. Higher values = stronger pivots but greater delay. 2. RSI Levels – Pivots • RSI Overbought Level – minimum RSI level required for HIGH pivots • RSI Oversold Level – maximum RSI level required for LOW pivots This is the main pivot quality filter. 3. RSI Filters Optional filter for blocking breakout signals: • Enable signal blocking filter – enables the filter • RSI Overbought (block BUY) – blocks BUY signals at very high RSI • RSI Oversold (block SELL) – blocks SELL signals at very low RSI 4. Signal Settings • Ability to select signal triangle size: • Tiny • Small • Normal 5. Line Settings • Delete broken lines after break – removes broken levels after breakout. 6. Colors Full color customization for: • HIGH levels, • LOW levels, • pivot price labels, • BUY/SELL signals, • line transparency. Signal colors are also automatically synchronized with TP/SL levels and fill zones. 7. TP/SL Settings • SL = ATR × or percentage from entry • ATR Period • ATR Multiplier • SL % • RR for TP1 / TP2 / TP3 Each TP can use its own RR multiplier. 8. TP/SL Display Ability to individually enable: • SL, • TP1, • TP2, • TP3. 9. Position Visualization The indicator automatically creates: • entry line, • SL line, • TP lines, • price labels, • red risk zone, • green reward zone. When TP or SL is reached, all lines automatically stop extending. █ APPLICATIONS 1. Local Structure Breakouts The primary use of the indicator is trading breakouts of important local levels created by RSI-filtered pivots. A breakout may indicate a short-term market structure shift and the beginning of a new impulsive move in the breakout direction. The best results usually occur when the breakout aligns with the dominant trend and is supported by increasing momentum. Before entering a position, it is worth additionally analyzing: • the strength of the current move, • higher timeframe trend direction, • nearby support/resistance zones, • available space for further price expansion. 2. Pivots as Important Market Levels The pivots themselves can act as important reaction zones even without waiting for a breakout. Since the levels are additionally filtered by RSI, they often represent areas of local overbought or oversold market conditions. Because of this, pivots can be used as: • potential reaction zones, • local support and resistance, • profit-taking areas, • price action and momentum observation zones. In practice, the market often reacts to these levels multiple times before a final breakout occurs. 3. Position Management Immediately after a signal appears, you can clearly see: • defined risk level, • potential RR, • realistic targets, • visual risk/reward relationship. █ NOTES • Small Pivot Length values generate more levels and more market noise. • Large Pivot Length values create stronger levels but signals appear later. • RSI is not used here as a classic entry oscillator, but as a pivot quality filter.
Indicatore Pine Script®
di Uncle_the_shooter
4
Market Structure Break & Order Block - [SizeRight]MSB · Order Block · Breaker This indicator identifies Market Structure Breaks (MSB) and automatically draws Order Blocks (OB) and Breaker Blocks (BB) at the zones that caused the break — giving you a complete picture of where institutional interest is likely sitting. Built on the open-source MSB-OB concept by EmreKb, this version has been rebuilt from the ground up in Pine Script v6 with a focus on accuracy, usability, and real trading utility. What makes this different from other MSB indicators ✦ Repaint-free signals MSB signals are only confirmed on bar close. No more signals that appear mid-candle and disappear — every MSB you see is a real, locked-in structural shift. ✦ OB Strength Grading Every zone is scored by the body-to-ATR ratio of the candle that formed it. Zones are rated ●●● Strong, ●●○ Moderate, or ●○○ Weak — and the box opacity reflects the score visually. Stop treating all zones equally. ✦ Pristine Zone Detection A ✦ marker flags every zone that has never been touched. First touches on untested zones are the highest-probability setups in SMC theory. Once price enters the zone, the tap count updates automatically , , etc. ✦ Partial Mitigation Visual When price wicks into a zone but doesn't close through it, the box border turns dashed — signalling the zone has been tested but remains valid. A fully broken zone is removed automatically. ✦ Failed MSB Detection When price breaks structure and then reverses within your defined look-back window, the indicator flags it as a ✕ Failed MSB. This is one of the strongest counter-trend signals in Smart Money Concepts and almost no free indicator tracks it. ✦ Volume-Weighted OB Flag Order Blocks that formed on above-average volume get a ↑Vol tag. Institutional zones almost always leave a volume footprint — this helps you prioritise. ✦ Confluence Detection When an OB and a BB overlap in price, the indicator labels the area ⚡ Confluence. Stacked zones = stacked reasons to pay attention. ✦ HTF Structure Level Overlay a reference line from any higher timeframe directly on your current chart. Use it as a macro bias filter — trading with the HTF structure dramatically improves win rate on lower timeframe entries. ✦ Throttled Alerts Alerts fire once per zone touch, not on every single candle inside the zone. Your phone will thank you. ✦ Fixed or Dynamic Block Length Choose between boxes that extend until broken, or a fixed bar count for a cleaner, less cluttered chart. Settings Overview Every input has a built-in ? tooltip — hover over any setting in the panel for a plain-English explanation of what it does and how to tune it. Designed for Smart Money Concepts traders If you trade order flow, liquidity sweeps, or SMC setups, this tool was built for your workflow. The zones this indicator draws are the same ones institutional traders use to identify areas of interest — now with a layer of quality filtering that most indicators skip entirely. ---------------------------------------------------------------------------------------------------------------------- ⚡ Built with SizeRight — Size Like A Pro SizeRight is a position sizing tool built for serious traders. Know exactly how many contracts, coins, shares, or lots to trade on every setup — based on your account size, risk percentage, entry price, and stop distance. No more guessing. No more blowing accounts on oversized positions. Built for TV - flash speed position values extraction. The best entry in the world means nothing if your position size is wrong. Try SizeRight → chromewebstore.google.com ---------------------------------------------------------------------------------------------------------------------- This script is an enhanced derivative of MSB-OB by EmreKb, used under Mozilla Public License 2.0.
Indicatore Pine Script®
di SpartanH47
2
Liquidity Intelligence Entry SystemLiquidity Intelligence System Liquidity Intelligence System is a liquidity-based market analysis framework designed around one central idea: market movement is often shaped by liquidity pools, stop sweeps, directional bias, displacement, volatility conditions, and the quality of confluence around a signal. This script is not designed to mark every candle, every swing, or every possible reversal. It is not intended to behave like a simple buy/sell indicator that reacts to one isolated condition. Its purpose is to detect structured liquidity events, compare multiple confluence models in the background, classify the current market regime, display signal quality, and project a visual risk/reward framework directly on the chart. The script combines liquidity sweep detection, trend confirmation, FVG presence, volume expansion, RSI extremes, displacement behavior, market regime logic, adaptive preset modes, TP1/TP2/TP3 projection, visual liquidity mapping, and a model-performance dashboard into one organized workflow. The goal is to help users review liquidity-based signals in a more structured way, not to promise future performance or replace independent analysis. 🔓 PUBLICATION NOTE This script is published to provide a structured liquidity-analysis workflow. The description is intentionally detailed because many users do not inspect every part of the Pine Script logic line by line. The purpose of this page is to explain what the script does, how its components connect, why the system is organized this way, and what limitations should be understood before using it. The script should be treated as a decision-support and research tool. It is not financial advice, it is not an automated trading system, and it does not guarantee profitable results. 📌 OVERVIEW At a high level, Liquidity Intelligence System does several things: 1. It detects liquidity sweep conditions around recent swing highs and swing lows. 2. It identifies buy-side liquidity and sell-side liquidity areas. 3. It can mark Equal High and Equal Low liquidity pools. 4. It changes swept liquidity levels visually once price takes them. 5. It evaluates 16 different liquidity/confluence signal models in the background. 6. It allows the user to manually choose which model should be active on the chart. 7. It prevents repeated same-direction signals from stacking unnecessarily. 8. It calculates virtual trade outcomes for each model. 9. It displays model statistics such as Trades, Win Rate, Profit Factor, Average R, and Net R. 10. It identifies the current best-performing model according to a selected metric. 11. It detects the current market regime using trend, ADX-style directional movement, ATR behavior, and candle body conditions. 12. It gives the most recent signal a Signal Quality score. 13. It displays a Signal Quality panel with a visual score bar. 14. It projects Entry, TP1, TP2, TP3, and SL levels on the chart. 15. It draws soft reward and risk zones around the active signal. 16. It provides theme modes for different chart styles. 17. It includes dynamic alert messages with signal, model, quality, regime, entry, TP, SL, and performance details. The script is therefore not a single-purpose liquidity sweep marker. It is a multi-model liquidity intelligence and signal-review framework. 🧠 CORE IDEA The core idea of the script is that a liquidity sweep by itself is only one part of the story. A market may sweep a previous high or low, but that does not automatically mean the move is actionable. A sweep can lead to reversal, continuation, expansion, or false movement depending on the broader context. For that reason, Liquidity Intelligence System does not rely on one condition alone. Instead, it builds a layered model around the following question: When liquidity is taken, what other evidence exists around that event? The system can evaluate liquidity events together with: - trend direction, - recent FVG behavior, - volume expansion, - RSI extreme positioning, - displacement strength, - current market regime, - and model-specific confluence. This allows the script to compare different interpretations of the same market environment. For example, one user may prefer simple liquidity sweeps, while another may prefer liquidity sweeps only when FVG and trend alignment are also present. The script does not force one fixed interpretation. It allows multiple models to run in the background while the user selects the model they want to display. 🧩 WHY THIS SCRIPT IS NOT A SIMPLE MASHUP This script combines several concepts that are familiar in technical analysis and liquidity-based trading: - swing highs and swing lows, - liquidity sweeps, - equal highs and equal lows, - FVG-style imbalance logic, - trend filters, - volume filters, - RSI conditions, - displacement candles, - ATR-based risk projection, - dashboard statistics, - alert messages. These individual concepts are not unique by themselves. The main purpose of this script is the way these elements are organized into one structured liquidity workflow: Liquidity map → sweep detection → confluence model selection → market regime classification → signal quality scoring → TP1/TP2/TP3 projection → model-performance dashboard → dynamic alert system Each part has a specific role. - The liquidity map shows where price may be interacting with stop pools. - The sweep engine defines the base signal event. - The confluence models decide which extra filters should be required. - The regime engine gives context about the current environment. - The quality panel summarizes the last signal. - The dashboard compares the performance of different models. - The TP/SL projection gives a visual review structure. - The alert system allows monitoring without constantly watching the chart. For that reason, the script is intended as one complete liquidity-intelligence framework, not as a random collection of unrelated tools. 💧 WHAT THE SCRIPT DOES The script begins by detecting swing-based liquidity references. It uses recent pivot highs and pivot lows to define potential buy-side and sell-side liquidity levels. Then it can classify and draw: - BSL: Buy-Side Liquidity - SSL: Sell-Side Liquidity - EQH: Equal High liquidity - EQL: Equal Low liquidity When price later trades through one of these mapped levels, the script can visually mark that level as swept. This makes the liquidity map more informative because old untouched levels and swept levels are no longer displayed the same way. After the liquidity engine identifies sweep conditions, the script evaluates whether the sweep qualifies under one of the available model combinations. Those models are tested in the background, while the user chooses which one should be active on the chart. The active model controls the visible LONG / SHORT labels and the projected Entry / TP / SL structure. ⚙️ HOW THE SCRIPT WORKS 1) LIQUIDITY SWEEP ENGINE The script uses swing pivots to identify important recent highs and lows. A buy-side sweep occurs when price moves above a previous swing high and then closes back below that swing high. A sell-side sweep occurs when price moves below a previous swing low and then closes back above that swing low. The script also checks sweep depth and wick rejection. This helps avoid treating every small break of a level as an equally meaningful sweep. The sweep engine uses: - swing pivot length, - maximum sweep depth measured with ATR, - rejection wick ratio, - current candle structure, - and the most recent mapped swing levels. This base liquidity engine creates the foundation for all model combinations. 2) BSL / SSL LIQUIDITY MAP The script can draw liquidity levels directly on the price chart. The map may include: - BSL above swing highs, - SSL below swing lows, - EQH when similar highs form near each other, - EQL when similar lows form near each other. The liquidity map is designed to be selective rather than excessive. A quality mode controls how many levels are displayed: - Balanced: more levels, - Conservative: cleaner default view, - Strict: fewer but more selective levels. The script also limits the maximum number of active liquidity lines so the chart does not become overloaded. 3) SWEPT LIQUIDITY VISUAL STATE When price reaches a mapped liquidity level, the script can mark that line as swept. A swept liquidity line changes visually: - the line becomes grey, - the style changes, - the label changes to SWEPT. This makes it easier to distinguish active liquidity pools from liquidity that has already been taken. This visual behavior is important because liquidity levels are not static forever. Once price has interacted with a level, its meaning may change. 4) EQUAL HIGH / EQUAL LOW LOGIC The script can detect similar high or low points using an ATR-based tolerance. Equal highs can represent a potential buy-side liquidity pool. Equal lows can represent a potential sell-side liquidity pool. Because instruments have different volatility, the tolerance is not fixed in raw price terms. It is scaled with ATR. This makes the EQH / EQL logic more adaptive across different markets and timeframes. 🧠 16 MODEL SYSTEM The script includes 16 model combinations. These models are evaluated in the background: 1. LQ 2. LQ + Trend 3. LQ + FVG 4. LQ + Volume 5. LQ + RSI 6. LQ + Displacement 7. LQ + Trend + FVG 8. LQ + Trend + Volume 9. LQ + Trend + RSI 10. LQ + Trend + Displacement 11. LQ + FVG + Volume 12. LQ + FVG + RSI 13. LQ + FVG + Displacement 14. LQ + Volume + RSI 15. LQ + Trend + FVG + Volume 16. LQ + Trend + FVG + Volume + RSI + Displacement The user can choose one active model from the settings. The active model is the one that controls the visible chart signals. The other models still run in the background for dashboard comparison. This is one of the main ideas of the script: the user does not have to guess which confluence combination is currently performing better. The dashboard can compare the models over the visible historical calculation period. 📈 TREND COMPONENT The trend component compares a fast EMA and a slow EMA. If the fast EMA is above the slow EMA, the script treats the trend condition as bullish. If the fast EMA is below the slow EMA, the script treats the trend condition as bearish. This does not mean the EMA lines have to be plotted on the chart. They can work silently as internal filters. When a model uses Trend, the liquidity signal must align with the EMA-based directional condition. 🟩 FVG COMPONENT The FVG component checks for recent imbalance-style behavior. The script identifies bullish and bearish FVG-style conditions and then checks whether such a condition has occurred within a recent lookback window. This allows models such as: - LQ + FVG, - LQ + Trend + FVG, - LQ + FVG + Volume, - LQ + FVG + Displacement, to require liquidity behavior together with recent imbalance context. The FVG logic in this version is used as a filter and confluence component. It is not presented as a full FVG box-management system. 🔊 VOLUME COMPONENT The volume component compares current volume against a volume moving average. When current volume exceeds the selected volume average by the chosen multiplier, the script treats it as a volume expansion condition. This can help models focus on sweeps that occur with stronger activity. Volume is not used as proof of future direction. It is used as one additional context layer. 📉 RSI COMPONENT The RSI component allows the script to include oscillator conditions in selected models. For long models, RSI can be required to be near or below a selected lower threshold. For short models, RSI can be required to be near or above a selected upper threshold. This allows RSI to function as a contextual filter around liquidity events rather than as a standalone signal generator. ⚡ DISPLACEMENT COMPONENT The displacement component checks whether the signal candle has enough body strength relative to ATR and total candle range. A bullish displacement condition requires: - bullish candle body, - minimum body size relative to ATR, - minimum body ratio inside the candle range. A bearish displacement condition uses the opposite candle direction. This helps identify signals where the sweep is followed by stronger directional candle behavior. 🧠 MARKET REGIME DETECTION The script includes a market regime engine. It classifies the current environment into states such as: - Trend Up - Trend Down - Range - Choppy - High Vol - Low Vol - Neutral The regime engine uses: - directional movement logic, - ADX-style trend strength, - EMA trend direction, - ATR compared to its average, - candle body ratio behavior. The purpose of this engine is to provide context. A liquidity sweep in a trending market is not the same as a liquidity sweep in a range. A signal during choppy conditions may require more caution than a signal during clean directional expansion. The regime output is also used in the Signal Quality framework. ⭐ SIGNAL QUALITY SCORE The Signal Quality score is a 0–100 style scoring framework. The score is designed to summarize the most recent signal’s contextual quality. It can consider: - whether the signal is a valid liquidity event, - whether the selected model’s trend condition is satisfied, - whether the selected model’s FVG condition is satisfied, - whether the selected model’s volume condition is satisfied, - whether the selected model’s RSI condition is satisfied, - whether the selected model’s displacement condition is satisfied, - whether the market regime supports or conflicts with the signal direction. The important detail is that the score is connected to the active model. For example: If the active model is LQ + FVG, FVG matters more directly. If the active model is LQ + Volume, volume matters more directly. If the active model is LQ + Trend + FVG + Volume, all of those conditions become part of the model-specific score. This helps avoid a generic score that ignores the selected model’s logic. 📊 SIGNAL QUALITY PANEL The Signal Quality panel displays a compact summary of the last signal. It can show: - current regime, - market bias, - last signal side, - active model, - signal score, - mini score bar, - alignment state. The score bar is included to make the quality reading easier to review visually. Example format: Score: 78/100 Bar: ████████░░ This panel is not intended to guarantee that a signal will work. It simply summarizes how much contextual evidence was present when the signal appeared. 📊 MODEL DASHBOARD The main dashboard compares the 16 models. It includes: - Trades - WR - PF - Avg R - Net R - Active model row - Best system row The dashboard is meant for internal review. It does not represent broker-executed trades. It is a virtual model-testing layer based on the script’s signal and TP/SL rules. The dashboard helps the user compare whether one model is currently producing cleaner historical behavior than another, but it should not be interpreted as a guarantee that the same behavior will continue. 🏆 BEST SYSTEM ROW The script can identify a Best System based on the selected metric. The user can choose the best-system metric from: - Net R - Profit Factor - Average R - Win Rate The system also uses a minimum trade count before a model can qualify for the Best row. This is important because a model with only one or two trades can look misleading. The minimum trade threshold helps reduce the chance of highlighting a model with too little sample size. 🎛️ PRESET MODES The script includes preset modes. Available presets: - Manual - Scalping - Intraday - Swing - Conservative - Aggressive - Funded Account Safe The default preset is Intraday. Preset modes do not simply change the name of the setting. They adjust internal effective values such as: - TP / SL behavior, - maximum bars in trade, - sweep depth sensitivity, - rejection requirement, - FVG recency, - volume multiplier, - displacement requirements. Manual mode allows the user to control the underlying settings directly. Presets are included to make the script easier to adapt to different trading styles without requiring every setting to be adjusted one by one. 🎨 THEME SYSTEM The script includes three visual themes: Emerald Dark A dark premium style using green and teal accents. Crimson Pro A more aggressive dark theme using red and high-contrast signal colors. Ice Minimal A cleaner light-style theme with black text and softer blue/grey visual structure. The theme affects visual elements such as: - dashboard colors, - selected model row, - best-system row, - TP/SL/Entry line colors, - TP/SL/Entry labels, - reward and risk boxes. The purpose is to make the same system usable across different chart backgrounds and visual preferences. 🎯 ACTIVE TRADE PROJECTION When the active model produces a new signal, the script can project a visual trade framework. The chart may display: - Entry line - TP1 line - TP2 line - TP3 line - SL line - reward zone - risk zone - price labels next to each level The projected levels are based on risk multiples. Default structure: - TP1 = 1R - TP2 = 2R - TP3 = 3R - SL = 1R risk The user can adjust TP1, TP2, and TP3 R multiples from settings. The projected structure is designed for review and visualization. It should not be treated as an instruction to enter a live trade without additional analysis and risk management. 🟢 TP / SL BACKTEST LOGIC The script’s virtual testing engine is aligned with the TP1 / TP2 / TP3 structure. If TP3 is reached, the virtual result is recorded using the selected TP3 R multiple. If SL is reached, the result is recorded as -1R. If the trade expires before TP3 or SL, the script can use the highest reached TP level or the open R result depending on what happened. This creates a more consistent link between what appears visually on the chart and what the dashboard is evaluating. Same-bar TP/SL behavior is handled by a conservative option. If both TP and SL appear to be hit during the same candle, the user can choose to count that situation conservatively. 🔁 NO CONSECUTIVE SAME-DIRECTION SIGNALS The script includes a same-direction signal filter. If a model produces a long signal, it will not keep printing long signals repeatedly until an opposite short signal occurs. Likewise, if a model produces a short signal, it will not keep printing short signals repeatedly until an opposite long signal occurs. This helps reduce repeated label clutter and makes the signal stream easier to review. 🚨 PRO ALERT SYSTEM The script includes dynamic alert messages. The alert message can include: - signal side, - active model, - preset mode, - quality score, - market regime, - alignment, - entry price, - TP1, - TP2, - TP3, - SL, - active model WR, - active model PF, - active model Avg R, - active model Net R. The script supports Text and JSON-style alert formats. Important usage note: To use the full dynamic Pro Alert message, create the TradingView alert with: Condition: Liquidity Intelligence System Option: Any alert() function call The regular alertcondition messages are fallback static alerts. 🧭 WHAT APPEARS ON THE CHART Depending on settings, the script may display: - LONG / SHORT labels, - BSL liquidity lines, - SSL liquidity lines, - EQH liquidity lines, - EQL liquidity lines, - SWEPT liquidity labels, - Entry line, - TP1 line, - TP2 line, - TP3 line, - SL line, - reward area box, - risk area box, - price labels beside Entry / TP / SL, - main model dashboard, - Signal Quality dashboard. This design is intentional. The chart shows liquidity structure, active model signals, projected risk/reward, and review statistics in one organized view. 🧪 HOW TO USE THE SCRIPT A practical workflow: 1. Add the script to your chart. 2. Start with the default Intraday preset. 3. Choose a theme that fits your chart background. 4. Select the active model you want to display. 5. Review the liquidity map: BSL, SSL, EQH, and EQL. 6. Wait for a liquidity sweep signal from the active model. 7. Check the Signal Quality panel. 8. Check the market regime and alignment state. 9. Review the Entry / TP1 / TP2 / TP3 / SL projection. 10. Compare the active model to the other models in the dashboard. 11. Use alerts if you want to monitor signals automatically. 12. Validate settings across the specific instruments and timeframes you actually trade. The script is best used as a structured review framework, not as a blind execution system. ⚙️ SETTINGS REFERENCE Manual Model Selection - Active Signal Model: selects which of the 16 models appears on the chart. - Preset Mode: selects the effective behavior profile. - Show Active Model Labels: enables/disables signal labels. - Signal Label Style: controls how much information appears in signal labels. - LONG / SHORT Label Size: controls signal label size. Virtual Trade Test - ATR Length: ATR basis for risk calculations. - Virtual TP ATR Multiplier: used in manual/preset logic where applicable. - Virtual SL ATR Multiplier: used to define risk distance. - TP1 R Multiple: first target multiple. - TP2 R Multiple: second target multiple. - TP3 R Multiple: third target multiple. - Max Bars In Virtual Trade: maximum duration of virtual trade. - If TP and SL Hit Same Candle, Count As Loss: conservative same-bar handling. Liquidity Sweep - Swing Pivot Length: pivot sensitivity. - Max Sweep Depth ATR: maximum allowed sweep depth. - Minimum Rejection Wick Ratio: wick rejection requirement. - Show BSL / SSL Liquidity Lines: enables liquidity map. - Show Equal High / Equal Low Lines: enables EQH/EQL. - Liquidity Line Limit: maximum active liquidity lines. - Liquidity Map Quality: controls how selective the liquidity map is. - Equal High / Low Tolerance ATR: ATR-scaled equality tolerance. Confirmation Filters - Fast EMA Length: trend filter fast EMA. - Slow EMA Length: trend filter slow EMA. - EMA Source: source used for EMA calculations. - Minimum FVG Size ATR: minimum FVG size filter. - FVG Recent Bars: how recently FVG must have appeared. - Volume SMA Length: volume baseline. - Volume Spike Multiplier: volume expansion threshold. - RSI Length: RSI calculation length. - RSI Long Threshold: RSI condition for long models. - RSI Short Threshold: RSI condition for short models. - Minimum Displacement Body ATR: minimum displacement body size. - Minimum Displacement Body Ratio: minimum body-to-range ratio. Market Regime & Quality - Show Signal Quality Table: enables/disables quality panel. - Regime ADX Length: directional movement calculation length. - Trend ADX Threshold: trend-strength threshold. - Range ADX Threshold: range-condition threshold. - Regime ATR Average Length: ATR baseline for volatility regime. - High Volatility ATR Multiplier: high-volatility threshold. - Low Volatility ATR Multiplier: low-volatility threshold. - Choppy Body Ratio Threshold: body-ratio condition for choppy regimes. Dashboard & Visuals - Show Model Dashboard: enables/disables model comparison dashboard. - Theme: selects Emerald Dark, Crimson Pro, or Ice Minimal. - Dashboard Size: controls dashboard text size. - BEST System Metric: selects best-system ranking logic. - Minimum Trades For BEST Row: minimum sample size for best-system qualification. Pro Alerts - Enable Pro Alert Message: enables dynamic alert messages. - Alert Message Format: selects Text or JSON-style format. 🧠 WHAT MAKES THIS SCRIPT ORIGINAL This script uses familiar components such as swing highs/lows, EMA trend filters, volume comparison, RSI thresholds, ATR, and dashboard statistics. Those components are not original by themselves. The originality of this script lies in how those components are organized into a single liquidity-intelligence workflow: Liquidity map → sweep detection → 16 model comparison → market regime classification → model-specific quality scoring → TP1/TP2/TP3 projection → dashboard review → dynamic alert output This structure allows the script to function as a complete liquidity review environment rather than a simple signal marker. ⚠️ IMPORTANT PRACTICAL NOTES The script’s behavior depends heavily on settings. Signal frequency and signal quality may change based on: - selected active model, - preset mode, - pivot length, - sweep depth, - rejection requirement, - FVG recency, - volume threshold, - RSI thresholds, - displacement settings, - volatility conditions, - symbol, - timeframe. A model that looks cleaner on one instrument may not behave the same way on another. The dashboard is a virtual review layer. It is useful for comparing model behavior, but it should not be treated as proof of future results. ⚠️ LIMITATIONS AND SHORTCOMINGS This script has important limitations: - It does not guarantee profitable signals. - It does not know future price movement. - It does not replace risk management. - It does not execute trades. - It does not include broker slippage, commissions, spreads, or order-fill uncertainty. - It uses chart data and bar-based logic. - Same-bar TP/SL ambiguity is handled by a rule, not by true intrabar reconstruction. - Liquidity sweeps can fail. - FVG, trend, volume, RSI, and displacement filters can still produce false signals. - The dashboard is historical and virtual, not a live brokerage performance report. - Market regime classification is an analytical approximation, not an absolute truth. - No confluence model removes all risk or uncertainty. For these reasons, the script should be used as a structured analysis and review tool, not as a standalone trading system. 👤 WHO THIS SCRIPT MAY BE USEFUL FOR This script may be useful for traders who: - study liquidity sweeps, - use smart-money-style market structure concepts, - want BSL / SSL / EQH / EQL mapping, - want multiple confluence models in one tool, - want a visual TP1 / TP2 / TP3 framework, - want a signal quality panel, - want market regime context, - want model comparison statistics, - prefer organized chart-based review. It may be less suitable for users who: - want a fully automated trading system, - want guaranteed buy/sell signals, - do not use liquidity concepts, - do not want dashboard-based review, - prefer very minimal charts with no overlays, - expect one model to work the same way on every market and timeframe. 🛡️ DISCLAIMER This script is provided for educational and informational purposes only. It does not constitute financial, investment, or trading advice. No indicator can guarantee future results. Market conditions change, historical behavior does not ensure future behavior, and every user is responsible for their own analysis, validation, position sizing, and risk management. Use this script as a structured decision-support and review framework, not as a promise of profitability.
Indicatore Pine Script®
di trade_w_samet
4
Smart Trader, Episode 07, ICS Geometric Buyers/Sellers Pressure🔶 Overview ICS Geometric Buyer/Seller Pressure measures the real-time balance between buying and selling forces through a geometric framework built on triangle areas. Rather than relying on volume, oscillators, or moving-average crossovers, this indicator constructs two right triangles on every bar — one representing seller pressure above the current price, one representing buyer pressure below it — and computes their areas inside a normalized coordinate system called the Isotropic Coordinate System (ICS). The ICS transforms raw price and time into a dimensionless plane using Yang-Zhang composite volatility as the scaling factor. Because both axes are divided by the same volatility estimate, the resulting triangle areas carry no unit — they are pure geometric ratios. This makes the pressure reading comparable across any instrument, any timeframe, and any price scale, without the trader needing to adjust parameters when switching charts. From these two normalized areas, the indicator derives a single metric called B, which condenses the entire buyer-versus-seller balance into a value between −1 and +1. B is then converted into intuitive percentage readings (Red % for seller dominance, Blue % for buyer dominance) and visualized through a gradient barometer column, a triangle fan overlay, and data-window plots ready for alerts. 🔶 Conceptual framework To measure the real-time balance between buying and selling forces, this indicator takes a geometric approach rather than relying on volume analysis, oscillator divergences, or moving-average crossovers. Two right triangles are constructed on every bar — one above the current price toward the range ceiling, one below toward the range floor — and their areas are compared to determine which side of the market currently dominates. Computing triangle areas in raw price-versus-time coordinates, however, introduces a structural problem: the same price movement produces a different geometric shape depending on the chart's zoom level, time compression, or display resolution. A 30-point rally on a compressed weekly chart creates a steep, narrow triangle; the identical rally on a stretched intraday chart creates a flat, wide one. The areas differ even though the underlying market event is the same. To eliminate this distortion, the indicator applies a normalization layer referred to here as the Isotropic Coordinate System (ICS). The principle behind it is dimensional analysis — a well-established technique in physics and engineering for removing unit-dependent artifacts from measurements. The horizontal axis (time) is rescaled by dividing bar offsets by sigma, and the vertical axis (price) is rescaled by dividing the natural logarithm of price by the same sigma. Because both axes share the same divisor, the resulting coordinate plane is isotropic: triangle areas reflect only the structural relationship between price and range boundaries, not how the chart happens to be displayed. The sigma used for this normalization is the Yang-Zhang (2000) composite volatility estimator, a published academic method (Journal of Business, Vol. 73, No. 3). It combines three independent variance components — overnight (close-to-open), intraday (open-to-close), and the Rogers-Satchell high-low-close estimator — into a single unbiased measure with minimum-variance weighting. This makes sigma robust across instruments with overnight gaps (equities, futures) and those that trade continuously (forex, crypto). The practical result: the normalization layer adapts to the volatility regime of each instrument, making triangle areas structurally comparable across different charts and timeframes and reducing the need for manual recalibration when switching instruments. 🔶 The B metric: from triangle geometry to a single number The core output of this indicator is a single value called B, which captures the instantaneous buyer-versus-seller balance in one dimensionless number. Picture any bar on your chart. The indicator draws two right triangles around it. The upper triangle sits between the bar's high and the range ceiling: its three vertices are (1) the current bar's high, (2) the range ceiling at the current bar, and (3) the range ceiling at the prime-offset bar, 101 bars back. This triangle represents seller territory — the geometric "room" that sellers occupy above the current price. The lower triangle mirrors this below: its vertices are the current bar's low, the range floor at the current bar, and the range floor at that same prime-offset bar. This is buyer territory — the room below the current price. The larger the seller triangle relative to the buyer triangle, the more the market is tilted toward selling pressure, and vice versa. Why prime-numbered offsets? The indicator uses the first 25 prime numbers (3, 5, 7, 11, ... 97, 101) as its sampling offsets. Prime numbers share no common factors with each other or with any periodic cycle in the data. When a signal is sampled at evenly spaced intervals (e.g. every 10, 20, 30 bars), there is a risk that the sampling grid locks onto a periodic pattern in the price — a weekly cycle, an options expiration rhythm, or any recurring structure — and either amplifies or masks it. This is a form of harmonic aliasing. Prime offsets avoid this: because no prime is a multiple of any other, the sampling set {3, 5, 7, ... 101} is maximally non-periodic, ensuring that each offset captures a structurally independent slice of the price range. Two roles: measurement and visualization For the B calculation itself, only the widest triangle is used — the one anchored at prime offset 101. This single pair of triangles (upper and lower) captures the broadest structural pressure across the entire lookback window. The remaining 24 primes serve a visual role: they generate the triangle fan overlay you see on the chart. But this visual layer is not merely decorative. Each triangle in the fan maps a pressure boundary at a different time horizon. As the screenshot above illustrates, candles that approach the red triangle edges tend to encounter resistance and reverse — the fan effectively draws a multi-scale map of where selling pressure intensifies. The blue fan does the same for buyer pressure below. Taken together, the fan gives the trader a spatial reading of how pressure distributes across shorter and longer horizons. A notable property observed during testing across multiple instruments and timeframes: regardless of triangle size or lookback period, B consistently produces values within the bounded range of -1 to +1. This is not a coincidence — it is a mathematical consequence of the symmetric ratio formula that derives B from the two triangle areas. The formula Both triangle areas are first computed using the Shoelace formula — a standard computational geometry method that yields the exact area of any polygon from its vertex coordinates. Then B is derived through a symmetric ratio: r1 = A_hi / A_lo     r2 = A_lo / A_hi     B = (r1 - r2) / (r1 + r2) When the seller triangle is much larger than the buyer triangle (A_hi >> A_lo), r1 grows large while r2 shrinks, and B approaches +1. When buyer pressure dominates, B approaches -1. When both areas are equal, B = 0 — balanced pressure. The formula is symmetric by construction, meaning it treats buyer and seller sides with identical mathematical weight. Percentage conversion To make B immediately readable on the chart, the indicator converts it into two percentage values: Red % = (B + 1) x 50     seller dominance, scale 0 to 100 Blue % = (1 - B) x 50     buyer dominance, scale 0 to 100 Red % and Blue % always sum to 100. They are available in the Data Window for any bar and are exposed as alert-ready plots, allowing traders to set threshold-based alerts (e.g. "Red % crosses above 80") directly from TradingView's alert builder, without writing any code. 🔶 Features at a glance 🔸 Gradient barometer — A vertical column rendered to the right of the last bar. It splits the effective range into a red (seller) zone and a blue (buyer) zone, with the dividing line set by B. The gradient fades from full opacity at the split point to near-transparent at each range boundary, giving an immediate visual sense of which side is dominant and by how much. 🔸 Prime triangle fan — 25 filled triangles (one per prime offset from 3 to 101) overlaid on the chart. Upper triangles are colored red (seller pressure), lower triangles blue (buyer pressure). Together they form a fan that maps pressure intensity across multiple time horizons simultaneously. Optional dashed outlines can be enabled for each side independently. 🔸 Range lines with price labels — Horizontal lines marking the effective high and low of the lookback window. Each line carries a price label placed to the left of the range start. When the channel is frozen (see Freeze/Revival below), a snowflake icon (❄) appears on the labels. 🔸 Diamond markers and prime labels — At each prime-offset bar, a diamond marker is placed at both the range ceiling and the range floor. The corresponding prime number is displayed above the ceiling diamond, providing a visual ruler of the sampling structure. 🔸 Freeze / Revival system — When a confirmed close breaches the range boundary, the mother channel freezes and a child channel is born on the breach side. The child computes its own pressure metric (B'), and when the opposing force inside the child reaches a user-defined threshold, the mother channel revives. This mechanism tracks regime transitions without discarding the prior range context. A dedicated label at the breach candle shows the child's B' value in real time. 🔸 Live and Closed display modes — "Live" updates tick by tick using the current bar's data. "Closed" anchors all calculations on the last confirmed bar, eliminating intra-bar noise for traders who prefer signal stability. 🔸 Data Window and alert-ready plots — Three invisible plots (Red %, Blue %, raw B) are exposed in the Data Window and available for TradingView's alert condition builder. Traders can create threshold, crossover, or crossing alerts on any of these values without writing Pine Script. 🔸 Full visual customisation — Every visual element (triangle fill colors, line colors, diamond size, text size, barometer width, barometer offset, gradient steps) is independently configurable through the indicator's settings panel. 🔶 Deep dive: the barometer The barometer is a vertical gradient column displayed to the right of the last bar on the chart. Its purpose is to translate the abstract B value into a shape that the eye can read instantly: a column split into a red zone (seller pressure) on top and a blue zone (buyer pressure) on the bottom. The column spans the full effective range — from rangeLow at the bottom to rangeHigh at the top. The split point between red and blue is not placed at the midpoint of the range. Instead, it is calculated directly from B: yMid = rangeHigh − (B + 1) × range / 2 When B = 0 (balanced), yMid sits at the exact center of the range. When B approaches +1 (full seller dominance), yMid drops toward the range floor, making the red zone fill nearly the entire column. When B approaches −1 (full buyer dominance), yMid rises toward the range ceiling, and the blue zone dominates. The gradient is rendered using a configurable number of boxes (default: 50). In the red zone, opacity is strongest near yMid and fades to near-transparent at rangeHigh. In the blue zone, opacity is strongest near yMid and fades toward rangeLow. This creates a natural "heat" effect: the most intense color always concentrates at the boundary where the two forces meet. At the top and bottom of the column, percentage labels display the Red % and Blue % values. These are the same percentages available in the Data Window, presented here as a quick visual reference. The barometer responds to the selected display mode. In "Live" mode, it updates on every tick using the current bar's B value. In "Closed" mode, it uses the B computed from the last confirmed bar, providing a stable reading that does not flicker with intra-bar price movement. Barometer settings 🔸 Show barometer — Toggle the entire barometer on or off. Default: on. 🔸 Offset (bars right) — How far to the right of the last bar the column is placed. Default: 11. Increase this if the barometer overlaps with other right-margin elements. 🔸 Width (bars) — The horizontal thickness of the column, measured in bars. Default: 5. 🔸 Gradient steps — The number of boxes used to render the gradient. Higher values produce a smoother fade. Default: 50. 🔶 Deep dive: the prime triangle fan The triangle fan is the indicator's signature visual element. It renders 25 filled triangles on the chart — one for each prime offset from 3 to 101 — fanning out from the current bar toward the left side of the lookback window. Upper triangles are shaded red (seller pressure) and lower triangles are shaded blue (buyer pressure), each with high transparency so the underlying candlesticks remain clearly visible. Every triangle in the fan shares two of its three vertices with the current bar: the bar's high (for upper triangles) or the bar's low (for lower triangles), and the corresponding range boundary at that bar. The third vertex sits at the range boundary at the prime-offset bar. Because each prime offset is a different distance back in time, the triangles vary in width — the smallest is narrow and captures very short-term pressure, while the largest stretches across the full lookback and captures the broadest structural picture. Reading the fan as a pressure map The fan functions as a multi-scale pressure map. Each triangle edge represents a boundary where one side's territory begins. When price approaches a cluster of red triangle edges from below, it is entering a zone where seller pressure intensifies across multiple time horizons simultaneously. The denser the overlap of red edges at a given price level, the stronger the structural resistance at that level. The same logic applies in reverse for blue edges and buyer support. This is visible in practice: candles that push into the red fan often stall or reverse at the triangle boundaries, while candles that drop into the blue fan tend to find support. The fan gives the trader a spatial sense of how much room each side has — a wide blue zone with thin red edges suggests buyers have structural space to move, and vice versa. Color flipping during freeze When the Freeze/Revival system is active and price moves beyond the frozen range boundary, the triangle colors on the breached side flip to reflect the new structural reality. Consider a downward breach: price closes below the frozen rangeLow and continues falling. The lower triangles — which normally appear blue to represent buyer territory — switch to red. This signals that what was once the buyer's domain has been structurally penetrated; the geometry now measures selling pressure extending below the old floor. At the same time, the upper triangles remain red as they always are, and because the distance between the current price and the frozen rangeHigh has grown dramatically, the seller area expands. The visual result: the entire fan turns uniformly red, reflecting overwhelming seller dominance across every time horizon in the fan. The mirror case works identically. During an upward breach, price closes above the frozen rangeHigh and continues rising. The upper triangles flip from red to blue, signaling that seller space has been penetrated from below. The lower triangles remain blue, and because the gap between the current price and the frozen rangeLow is now vast, buyer area dominates. The entire fan turns uniformly blue, reflecting overwhelming buyer dominance. The color flip is automatic and requires no user intervention. It is driven entirely by the relationship between the current price and the frozen boundaries — when price returns inside the frozen range, colors revert to their normal assignment. Diamond markers and prime labels At each prime-offset bar, the indicator places diamond-shaped markers at both the range ceiling and the range floor. Above the ceiling diamond, the prime number itself is displayed as a label. These markers serve as a visual ruler: they show the trader exactly where each sampling point falls in time and make the non-periodic spacing of the primes immediately visible on the chart. Fan settings 🔸 Show lower triangle lines / Show upper triangle lines — Toggle dashed outlines for each side. Default: off. When enabled, the outlines make individual triangle edges more distinct, which can be helpful when reading overlapping edges at specific price levels. 🔸 Lower / Upper line color — Stroke color for the dashed outlines. 🔸 Lower / Upper fill color — Fill color and transparency for the triangle bodies. Default: high transparency so candles remain readable. 🔸 Show vertical lines — Draws a vertical line at each prime-offset bar. Default: off. 🔸 Show prime labels — Displays the prime number and diamond at each offset. Default: on. 🔸 Diamond color / Diamond size — Visual styling for the diamond markers. 🔸 Label text size — Font size for the prime number labels. 🔸 Deep dive: Freeze / Revival Markets do not stay inside ranges forever. When price breaks out, most range-based indicators simply reset and start a new range from scratch, discarding whatever structural context existed before the breakout. The Freeze/Revival system takes a different approach: it preserves the prior range as a frozen reference while simultaneously tracking the new regime that emerges beyond it. How a freeze is triggered A freeze occurs when a confirmed close — not a wick, not an intra-bar spike — breaches the effective range boundary. The indicator compares the previous bar's close against the range that existed one bar before it, so the breach signal is fully confirmed and cannot repaint. Once a breach is detected: 🔸 The mother channel freezes — its high and low are locked at the values they held just before the breach. 🔸 A child channel is born on the breach side. For an upward breach, the child's floor is the frozen rangeHigh and its ceiling expands with each new high. For a downward breach, the child's ceiling is the frozen rangeLow and its floor drops with each new low. 🔸 A snowflake icon (❄) appears on the range price labels, and the triangle colors flip as described in the section above. The child channel and B' While the mother channel is frozen, the child channel computes its own independent pressure metric called B'. B' uses the same ICS triangle formula as the mother's B, but measured against the child's own boundaries. This means B' tracks the buyer/seller balance exclusively inside the new regime — the territory beyond the old range. A dedicated label appears at the breach candle showing the current B' value, converted to the percentage of the opposing force. For a downward breach, the label displays the buyer percentage inside the child; for an upward breach, it displays the seller percentage. This tells the trader how much counter-pressure is building inside the breakout zone. B' as a structural overbought / oversold reading When B' shows a very low opposing-force percentage shortly after a breach, the breakout side is structurally dominant — price has moved aggressively beyond the old range with minimal resistance. This condition is analogous to what traders call an overbought or oversold state, but derived from geometry rather than from momentum oscillators. The reading reflects the spatial imbalance between the two forces inside the child channel: one side occupies nearly all the geometric territory. As time passes, if the opposing force gradually builds — the B' percentage climbs — it signals that the breakout is losing its structural one-sidedness. The market is beginning to rebalance inside the new territory. Watching B' evolve over successive bars gives the trader a real-time gauge of whether the breakout retains its structural conviction or is approaching exhaustion. Revival: when does the freeze end? The freeze lifts when the opposing force inside the child channel reaches a user-defined threshold (default: 50%). At that point, the indicator interprets this as the exhaustion of the breakout: the force that drove the breach is being met by equal or greater counter-pressure. The freeze is lifted, all freeze state is reset, and the mother channel resumes normal range tracking. The snowflake icons, B' label, and color flips are removed. The revival threshold is configurable. A lower value makes the system more sensitive — it revives sooner, treating even moderate counter-pressure as a regime reset. A higher value makes it more patient — it waits for stronger opposition before releasing the freeze. The default represents balanced equilibrium: the freeze ends when the opposing side has matched the breach side. Why this matters The Freeze/Revival cycle gives the trader a structured way to observe regime transitions. Rather than watching a range silently reset after a breakout, the trader sees the old range preserved as context (frozen lines with ❄), the new regime measured in real time (B' at the breach candle with its overbought/oversold implication), and a clear signal when the transition is complete (revival). This makes it possible to distinguish between a genuine regime change and a brief spike that reverts — without relying on arbitrary time delays or fixed-bar re-entry rules. 🔸 Reading the indicator This indicator does not generate buy or sell signals. It is a measurement tool that quantifies the geometric balance between buyer and seller pressure. How that measurement is incorporated into a trading decision is entirely up to the trader. The following observations describe what the indicator shows, not what the trader should do. The barometer as a quick-glance gauge The barometer provides the fastest reading. A column dominated by red indicates that seller pressure is structurally larger than buyer pressure across the lookback window. A column dominated by blue indicates the reverse. When the split point sits near the center, pressure is approximately balanced. Watching how the split point migrates over successive bars reveals whether the pressure balance is shifting gradually or remaining stable. The fan as a spatial context layer The triangle fan adds spatial depth to the barometer's single-number reading. While the barometer tells you the current balance, the fan shows you where that balance is concentrated in price space. Areas where multiple triangle edges converge represent zones of intensified pressure — structural resistance above (red edges) or structural support below (blue edges). When price trades inside a region with sparse triangle coverage, it has more structural room to move before encountering the next pressure boundary. Freeze events as regime markers When a freeze occurs, it marks a structural event: price has left the established range. The frozen lines (marked with ❄) preserve the old context, and B' at the breach candle provides a real-time measure of how one-sided the new regime is. A very low opposing-force reading in B' indicates a structurally extended condition — the breakout side has occupied nearly all geometric territory. As B' climbs toward the revival threshold, it indicates increasing counter-pressure. The moment of revival itself marks the point where the new regime's one-sidedness has been structurally neutralized. Combining readings The three visual layers — barometer, fan, and freeze state — work together. For example, a barometer showing strong seller dominance combined with a fan whose red edges are densely clustered near the current price suggests concentrated structural resistance. If a freeze is also active with a low B', the structural picture is one of strong directional conviction on the breach side. Conversely, a barometer near balance with widely spaced fan edges and no active freeze suggests a structurally neutral environment. Data Window and alerts The Red %, Blue %, and raw B values are available in TradingView's Data Window for any bar by hovering over it. These same values are exposed as alert-ready plots, meaning traders can set alerts directly from TradingView's alert builder — for example, triggering when Red % crosses above or below a chosen level, or when B crosses zero. No Pine Script knowledge is required to create these alerts. 🔸 Open-source structure and reusability This script is published open-source under the Mozilla Public License 2.0. The full computation pipeline — the Yang-Zhang volatility estimator, the ICS coordinate transformation, the Shoelace area calculation, and the symmetric ratio that produces B — is readable, auditable, and reusable. B is a bounded output: it always falls between −1 and +1, carries no unit, and is computed from normalized geometry. These properties make it suitable as an input for other scripts. Examples of how B can serve as input to further analysis include: 🔸 Plotting B as a standalone oscillator with its own zero line and structural extremes. 🔸 Applying moving averages of different periods to B and studying their crossovers as indicators of shifting pressure regimes. 🔸 Using B as a weighting coefficient to scale other measurements by the current geometric pressure balance. 🔸 Comparing B across timeframes, since the ICS normalization makes the metric structurally comparable regardless of the chart resolution. 🔸 Testing for divergences between B and price action. 🔸 Using B as a filter condition for entry or exit logic in other strategies. The code is available for study and extension under MPL 2.0. Traders and developers who wish to build on this metric have full access to its derivation. 🔸 Settings reference Range Lines 🔸 Lookback length — Number of historical bars used to compute the high/low range. Default: 101. 🔸 Line width — Pixel width of the horizontal range lines. Default: 1. 🔸 Display mode — "Live" updates tick by tick using the current bar. "Closed" anchors on the last confirmed bar, eliminating intra-bar noise. Default: Live. ICS 🔸 ICS Window — Number of bars fed into the Yang-Zhang volatility estimator. Controls how much historical data shapes the normalization sigma. Default: 101. Prime Verticals and Labels 🔸 Show vertical lines — Draws a vertical line at each prime-offset bar. Default: off. 🔸 Show prime labels — Displays the prime number and diamond marker at each offset. Default: on. 🔸 Vertical line color — Color for vertical lines at prime offsets. 🔸 Diamond color — Color of diamond markers and their labels. 🔸 Label text size — Font size for prime number labels, in points. 🔸 Diamond size — Size of the diamond-shaped markers, in points. Prime Triangles 🔸 Show lower triangle lines — Toggle dashed outlines for lower (buyer) triangles. Default: off. 🔸 Show upper triangle lines — Toggle dashed outlines for upper (seller) triangles. Default: off. 🔸 Lower line color — Stroke color for lower triangle dashed outlines. 🔸 Upper line color — Stroke color for upper triangle dashed outlines. 🔸 Lower fill color — Fill color and transparency for lower (buyer) triangle bodies. 🔸 Upper fill color — Fill color and transparency for upper (seller) triangle bodies. Barometer 🔸 Show barometer — Toggle the barometer column on or off. Default: on. 🔸 Offset (bars right) — Horizontal distance from the last bar to the barometer column. Default: 11. 🔸 Width (bars) — Horizontal thickness of the barometer column. Default: 5. 🔸 Gradient steps — Number of boxes used to render the gradient. Higher values produce a smoother fade. Default: 50. Freeze and Revival 🔸 Revival threshold (B') — When the opposing force inside the child channel reaches this percentage, the freeze ends and the mother channel resumes. A lower value revives sooner; a higher value waits for stronger counter-pressure. Default: 50. 🔸 Disclaimer This indicator is a technical analysis tool designed for educational and informational purposes. It measures the geometric balance between buyer and seller pressure using the methodology described above. It does not predict future price movements, does not guarantee any outcome, and does not constitute financial, investment, or trading advice. The B metric, the barometer, the triangle fan, and the Freeze/Revival system are structural measurements derived from historical price data. Like all technical indicators, they reflect past and present conditions and carry inherent limitations. Market conditions can change rapidly, and no single measurement tool can account for all factors that influence price. Traders should use this indicator as one component within a broader analytical framework, always in combination with their own research, risk management practices, and judgment. Past performance of any reading or pattern observed through this indicator is not indicative of future results. Use this tool at your own risk. The author assumes no liability for any trading decisions made based on the information provided by this indicator.
Indicatore Pine Script®
di ata_sabanci
2
Narrow Range Contraction (NRC) Box🎯 Overview The Narrow Range Contraction (NRC) Box Breakout Indicator automatically identifies high-probability consolidation patterns followed by explosive breakouts. This indicator detects mother bars (low volatility candles) followed by a sequence of inside bars (lower volatility), creating a compression box that often precedes significant price movements. 🔍 How It Works Step 1: Mother Bar Detection • Identifies a "mother bar" (candle with range > ATR × multiplier) • Requires the mother bar to be significantly larger than previous candles • Typical detection: Range > ATR(14) × 1.2 AND Range > Previous Range × 1.5 Step 2: Inside Bar Confirmation • After mother bar detection, monitors subsequent candles • Each bar must trade entirely within mother bar's high/low range • Configurable minimum inside bars required (default: 4) Step 3: Box Construction • When minimum inside bars achieved, draws a consolidation box • Box top = Highest high during the inside bar sequence • Box bottom = Lowest low during the inside bar sequence • Visual representation of the compressed trading range Step 4: Breakout Detection • Monitors price action relative to the box • Bullish breakout: Close above box top • Bearish breakdown: Close below box bottom • Visual color change and alerts on breakout 📊 Key Features ✅ Automatic Pattern Recognition - No manual drawing required ✅ Dynamic Box Sizing - Adapts to volatility expansion/contraction ✅ Multi-Timeframe Compatible - Works on any chart timeframe ✅ Visual Breakout Confirmation - Box color changes on breakout ✅ Extendable Lines - Project support/resistance levels forward ✅ Customizable Labels - Optional breakout labels ✅ Alert System - Real-time notifications for breakouts ✅ Historical Tracking - Stores up to 500 boxes ⚙️ Input Parameters Parameter Default Description ATR Multiplier :- 1.2 Sensitivity of mother bar detection (lower = more signals) Required Inside Bars:- 4 Minimum inside bars before drawing box (NR4, NR7, etc.) Show Lines :- True Display extension lines from box boundaries Extend in Candles :- 150 How many candles to extend projection lines Show Labels :- True Display breakout direction labels Box Color :- Blue (80% t) Fill color of consolidation boxes Top Line Color :- Light Red (50%t) Extended resistance line color Bottom Line Color :- Light Green (50%t) Extended support line color 🚀 Usage Instructions Basic Setup: 1. Add indicator to your chart 2. Keep default settings for most markets 3. Wait for colored boxes to appear 4. Watch for breakout alerts Optimization Tips: For Day Trading (1-15 min charts): • Set Required Inside Bars: 3-5 • ATR Multiplier: 1.2-1.5 • Expect more frequent signals For Swing Trading (1-4 hour charts): • Set Required Inside Bars: 5-7 • ATR Multiplier: 1.2-1.5 • Higher quality signals, less frequent For Position Trading (Daily/Weekly): • Set Required Inside Bars: 5-10 • ATR Multiplier: 1.5-2.0 • Major trend signals only Trading Strategies: Bullish Setup: 1. Box appears (consolidation) 2. Wait for close above top line 3. Entry on breakout candle close 4. Stop loss at box bottom 5. Target: Box height projected upward Bearish Setup: 1. Box appears (consolidation) 2. Wait for close below bottom line 3. Entry on breakdown candle close 4. Stop loss at box top 5. Target: Box height projected downward 📈 Signal Quality Filters The indicator includes built-in quality filters: • Mother bar must exceed ATR threshold • Inside bars confirmed sequentially • Breakout requires closing price confirmation 🎨 Visual Guide • Blue Box → Active consolidation (no breakout yet) • Green-tinted Box → Bullish breakout occurred • Red-tinted Box → Bearish breakdown occurred • Dotted Lines → Projected support/resistance levels • Labels → Directional breakout alerts on chart ⚠️ Important Notes ⚠️ Not a standalone trading system - Use with other confirmation tools ⚠️ False breakouts possible - Consider volume or momentum filters ⚠️ Works best in trending markets - Avoid sideways choppy conditions ⚠️ Backtest before live use - Performance varies by market and timeframe 🔔 Alert Conditions Two alert conditions available: 1. NRC Bullish Breakout - Price closes above box top 2. NRC Bearish Breakout - Price closes below box bottom Recommended Alert Actions: • Connect to webhook for automated trading • Send to mobile for manual execution • Log to CSV for performance tracking 📊 Market Applications ✅ Stocks - Excellent for earnings consolidation patterns ✅ Forex - Works well with range-bound pairs before news ✅ Crypto - Effective for volatility compression patterns ✅ Futures - Good for pre-market range identification 🆚 Comparison with Built-in Tools Feature This Indicator TradingView Default Auto-box drawing ✅ Yes ❌ Manual only Inside bar counting ✅ Automatic ❌ Manual Breakout alerts ✅ Yes ❌ No Historical tracking ✅ 500 boxes ❌ Limited Volatility adjustment ✅ ATR-based ❌ Static 🔧 Technical Requirements • TradingView Version: v6 • Max Boxes: 500 • Max Labels: 500 • Max Lines: 500 • Processing: Optimized for real-time 📝 Version History v1.0 (Current) • Initial release • Mother bar detection with ATR multiplier • Inside bar confirmation system • Visual box drawing with break detection • Alert conditions for both directions • Customizable colors and extensions 📧 Support For questions or feature requests: • Contact via TradingView private message • Check script comments for modification notes • Open-source for educational purposes _______________________________________ Preview Message for TradingView: text 🎯 NRC Box Breakout - Auto-Detect High Probability Breakouts Never miss a volatility contraction breakout again! This indicator automatically identifies mother bars followed by inside bars, draws consolidation boxes, and alerts you on breakouts. ✅ 100% Automatic pattern detection ✅ Real-time breakout alerts (Bullish/Bearish) ✅ Customizable sensitivity (ATR-based) ✅ Visual box tracking with color changes ✅ Extension lines for projected levels Perfect for day traders and swing traders looking for systematic breakout entries. Based on Toby Crabel's Narrow Range concepts. Works on all timeframes and markets. Try it now! 🚀
Indicatore Pine Script®
di Trend_MyFrend
1
Anchored Volume Weighted Average Price | Astral Vision Anchored Volume Weighted Average Price | Astral Vision 🌠💠 The Volume Weighted Average Price anchored to a fixed date represents the average price at which every Bitcoin has changed hands since that moment, weighted by volume. Unlike a moving average which weights bars equally by time an anchored VWAP weights each bar by its trading activity, making it a true reflection of the average cost basis for all market participants who entered after the anchor point. When price trades above an anchored VWAP, the aggregate of participants since that anchor is in profit. When price trades below it, they are in loss. This makes anchored VWAPs among the most reliable dynamic support and resistance levels available, as they represent the price at which the largest volume of participants is either defending a gain or protecting against a loss. This indicator plots up to 16 simultaneous anchored VWAPs: one per calendar year from 2013 through 2025, plus three fully custom anchors at any user-defined date, all on the price chart with individual color control and labeled at the current bar. Calculation ⚙️ `VWAP = Cumulative(HLC3 × Volume) / Cumulative(Volume)` Accumulation begins on the first bar of the anchor year (or the exact timestamp for custom anchors) and runs continuously to the present bar. Each VWAP is computed independently, carrying its own cumulative price-volume and volume sums from its respective start date. Plots 📊 Up to 13 year-anchored VWAP lines (2013–2025), each with a dual-layer glow (linewidths 6/2, transparency 80/0) 3 custom timestamp-anchored VWAP lines with the same glow rendering Labeled endpoints at the current bar for every active VWAP, showing year or custom identifier Inputs 🎛️ `2013` through `2025` :individual toggles to enable each year-anchored VWAP, each with its own color picker `Custom 1 / 2 / 3`: toggles for three free-anchor VWAPs, each with a date/time input and color picker Colors 🎨 Each VWAP line has its own independent color, pre-assigned along a spectral progression from violet (2013) through the visible spectrum to yellow (2025), giving each cycle year a visually distinct identity at a glance. Custom anchors default to blue, yellow, and green with full override available. Purpose 🎯 Standard VWAP tools on TradingView anchor to the current session or a single user-defined point, offering no way to compare multiple historical anchors simultaneously. Traders who want to assess confluence across different cycle entry points must place and manage anchors manually, one at a time. This indicator solves that entirely: all major Bitcoin calendar years are available as one-click toggles, letting you layer any combination of historical cost bases onto the chart instantly. The custom anchors extend this to any structurally significant date (cycle lows, halving events, ETF approvals) without any manual drawing tool interaction. Confluence zones where multiple VWAPs converge are immediately visible and have historically acted as the strongest support and resistance levels in Bitcoin's price structure. Disclaimer ⭕️ It is not financial advice, not an investment recommendation, and not affiliated with any financial institution, research firm, or organization of any kind. All content is provided for educational and informational purposes only. Always conduct your own research before making any financial decision.
Indicatore Pine Script®
di AstralVision
Estructura del Mercado - Por BullArmyEstructura del Mercado — Bull Army Este indicador identifica automáticamente la estructura del mercado basándose en conceptos de Smart Money (SMC) e inspirado en la metodología de Al Brooks. Detecta puntos de oscilación clave, clasifica el tipo de movimiento y señala rupturas de estructura (BOS/CHoCH) en tiempo real. ¿Qué hace? 1. Detección de pivotes (Swing Points) Usa ta.pivothigh y ta.pivotlow con una longitud configurable para encontrar máximos y mínimos relevantes. Cada pivote se clasifica en cuatro categorías: HH — Higher High (máximo más alto) LH — Lower High (máximo más bajo) HL — Higher Low (mínimo más alto) LL — Lower Low (mínimo más bajo) 2. Break of Structure (BOS) y Change of Character (CHoCH) Cuando el precio supera un pivote previo activo, el indicador traza una línea horizontal marcando el nivel roto y etiqueta el evento como: BOS — ruptura de estructura en la dirección de la tendencia CHoCH — el primer BOS que cambia la dirección de la tendencia (opcional) La confirmación puede ser por cierre de vela o por mecha, configurable. 3. Nivel de retroceso 0.5 Opcionalmente dibuja el nivel medio entre el inicio y el fin de un movimiento de expansión válido (HH después de HL, o LL después de LH), útil como zona de reentrada potencial.
Indicatore Pine Script®
di Camiloelbull
1
Copper/Gold MACD Parabolic Signal | Astral Vision Copper/Gold MACD Parabolic Signal | Astral Vision 🌠💠 The Copper/Gold ratio is a macro risk barometer. Copper prices reflect industrial demand and global growth expectations; gold prices reflect risk aversion and monetary stress. When copper outperforms gold, markets are pricing in expansion: capital flows toward risk assets including Bitcoin. When gold outperforms contraction and flight-to-safety dominate. This indicator applies a MACD to the monthly Copper/Gold ratio, reading its histogram sign changes as macro regime transitions. Bullish flips have historically preceded or coincided with sustained Bitcoin bull runs. Bearish flips have marked the onset of risk-off environments where BTC underperforms. Calculation ⚙️ `Ratio = COPPER / GOLD (monthly)` `MACD = EMA(Ratio, 12) − EMA(Ratio, 26)` `Signal = EMA(MACD, 9)` `Histogram = MACD − Signal` A bull signal fires when the histogram crosses from negative to positive. A bear signal fires on the inverse. Both are computed on the monthly timeframe regardless of chart resolution. Plots 📊 MACD line in the indicator panel (positive color) Signal line in the indicator panel (negative color) Zero baseline Candle coloring on the price chart by histogram regime (positive above zero, negative below) Triangle markers at panel extremes on histogram sign-change bars Full-height vertical lines on the price chart at each signal bar, rendered with a 4-layer glow (widths 3/6/12/20, transparencies 0/40/65/82) Inputs 🎛️ No calculation inputs: MACD parameters (12/26/9) and the monthly timeframe are fixed to preserve the macro signal integrity. Theme and custom color override are available under Astral Colors. Colors 🎨 5 Astral Vision presets + custom override. Default: Futura. Positive color applies to bullish regime and bull signal lines; negative color applies to bearish regime and bear signal lines. Purpose 🎯 Most macro overlay indicators either plot a raw ratio line with no signal logic, or apply MACD on arbitrary timeframes that dilute the monthly structural read. Neither approach translates cleanly into actionable events on a Bitcoin price chart. This indicator condenses the entire macro read into a single binary event per regime change — a glowing vertical line that marks the exact monthly bar where the Copper/Gold MACD flipped. No threshold tuning, no interpretation required. The signal either fired or it didn't, and its historical alignment with Bitcoin's major trend reversals is directly visible on the price chart without switching panels. Disclaimer ⭕️ It is not financial advice, not an investment recommendation, and not affiliated with any financial institution, research firm, or organization of any kind. All content is provided for educational and informational purposes only. Always conduct your own research before making any financial decision.
Indicatore Pine Script®
di AstralVision
Bounce DurationOverview Bounce Duration measures and visualizes the bar count of price bounces within a bearish cycle, from a confirmed swing low to its highest swing high before the next lower low. Each completed bounce is drawn as a labeled box, making it immediately obvious when the current bounce is behaving differently from historical ones. Most bounce-analysis tools focus on price magnitude (how far a rally retraced). This indicator focuses on time , a dimension that is equally important but rarely visualized directly. An unusually long bounce duration is often a meaningful signal that market structure is changing. How It Works Swing highs and lows are identified using confirmed pivots. A bounce is measured from a post-ATH swing low to the highest swing high before the next lower low. The cycle resets on a new all-time high, ensuring only post-peak corrective bounces are measured. A live box tracks the current in-progress bounce in real time for direct comparison against history. Two safeguards prevent false signals: Bounces that reach a new ATH are excluded automatically Only swing lows occurring on or after the ATH reset bar are accepted as valid starting points Inputs Minimum Bounce Duration (bars) - Filters out bounces shorter than this threshold Pivot Length (bars L/R) - Controls swing detection sensitivity. Higher values find fewer, more significant pivots Use Close Instead of Wick - Switches pivot detection to closing prices, useful for filtering wick noise on volatile instruments Show Current Bounce - Toggles the live unconfirmed bounce box Colors, text size, and label alignment are fully customizable How to Use It Compare the duration of the current bounce to all prior bounces in the same corrective cycle. Bear market bounces are typically short and uniform. When a bounce persists significantly longer than any previous one, it suggests accumulation may be underway rather than a simple relief rally. Example: On Bitcoin's daily chart, the current bounce from the 2026 lows, measured on closing prices, is already longer in duration than every prior bounce in the post-ATH correction of prior cycles. This temporal outlier supports the case for a durable bottom forming rather than just another bear market bounce. The indicator works on any timeframe and any instrument with clear corrective cycles. Adjust Pivot Length to match your timeframe, lower values for intraday and higher for weekly or monthly analysis. Notes The current bounce box repaints as it updates each bar. Confirmed historical boxes do not repaint. No boxes are shown during a sustained uptrend. The indicator is designed for post-peak corrective analysis only. For informational and educational purposes only. Not financial advice.
Indicatore Pine Script®
di SkyHighTA
Trend Lines (HTF)Trend Lines (HTF) Auto-detected trend lines drawn between recent confirmed pivots across up to three higher timeframes. Resistance lines connect swing highs; support lines connect swing lows. Each line extends to the chart's right edge, and lines that price has closed through are dimmed and dashed — visible for context without dominating the chart. The point is to put higher-timeframe trend structure on a single chart, without manually redrawing every time a new swing prints. How it works For each of the three configured timeframes, the script runs a pivot detector inside request.security, with bar timestamps stored alongside each pivot so lines stay anchored to absolute chart time and don't drift on zoom or scroll. The most recent swing highs and swing lows are kept per timeframe. Trend lines are drawn between adjacent pivots — pivot N−1 to pivot N for the most recent line, pivot N−2 to pivot N−1 for the previous one, and so on, up to the configured number per side. Newer lines render at full opacity; older ones progressively fade. A line is marked broken the moment current close has crossed past its projected price — above for resistance, below for support. Broken lines switch to grey and dashed. All lines and labels rebuild on every tick of the last bar so the right-edge price label always reflects the line's current projected level. How to read it Each timeframe has its own color (defaults: teal for TF1, amber for TF2, purple for TF3) and its own line width. The most recent line per direction gets a price label at the right edge showing where that line currently projects. Older lines fade with age. A solid, full-opacity line is the freshest trend; faded ones are historical structure that may still be relevant. Broken lines flip to grey-dashed — useful for spotting role reversal, where a broken resistance becomes new support or vice versa. The lines connect adjacent pivots — they're not best-fit lines through many touches. This is deliberate: it shows you the slope of the most recent swing, not a line of best fit that may not match what price is actually doing right now. Inputs Timeframes 1/2/3 — defaults: Daily, Weekly, 3-Month. Choose timeframes higher than your chart timeframe. Per-TF Pivot Lookback — bars required on each side to confirm a swing, set independently per timeframe. Default 3 each. Higher values capture only major swings. Resistance / Support lines per TF — how many trend lines to draw per timeframe per direction. Defaults 2 each. Increase to see more historical structure. Display toggles — per-TF, resistance/support, broken lines, pivot anchor markers, right-edge price labels, and timeframe tag in the label. TF3 is off by default because 3-Month pivots confirm very slowly. Colors — one per timeframe, plus a separate broken-lines color. Line widths — independent per timeframe. Extension — Right (default), Both, or None. Controls whether each line extends past its second pivot. Line Style — Solid, Dashed, or Dotted (applies to unbroken lines). Built-in alerts Six alerts, one per timeframe and direction: TF1 / TF2 / TF3 Resistance Break ↑ — close crosses above the most recent unbroken resistance line on that timeframe TF1 / TF2 / TF3 Support Break ↓ — close crosses below the most recent unbroken support line on that timeframe Breaks fire on the bar they occur, based on the line's current projected price. Notes The lines connect adjacent pivots only. Some auto-trendline indicators try to fit lines through several swings at once; this one doesn't. The design assumption is that the slope between the two most recent swings is what's currently relevant, and older swings shouldn't be forced onto the same line just because they're nearby. If you want longer trend channels, increase pivot lookback so individual swings represent larger structural moves. Each timeframe has its own pivot lookback by design. A daily chart and a 3-month chart usually need different sensitivities, and forcing them to share one setting tends to make at least one of them wrong. Higher-timeframe pivots don't confirm until pivot lookback bars after the actual high or low. On a 3-month timeframe with lookback 3, that's nine months of delay — which is why TF3 is off by default and only worth turning on if you're trading multi-year structure. When a line breaks, it stays dimmed permanently. There's no un-breaking. If price reclaims the level, that's role reversal: the broken resistance is now informing as historical structure while the most recent unbroken support takes over the active role. This is a structural tool, not a signal generator. It marks where the recent swing slopes sit and which of those slopes price has already broken. Five years of work on a trading system left me with dozens of indicators that ultimately didn't earn a place in the final build. They're not failures — they're tools that solved problems I no longer needed solved. So instead of shelving them, I'm publishing the majority of them open-source. If you're a discretionary trader, take what's useful. If you're a systems builder, the source is yours to dissect, modify, and improve. The best return on five years of work is for it to keep working — for someone. If you use this script — or part of it — in your own work, please credit the original with a link back to my profile. Note: these indicators have been updated to Pine Script v6 — some manually, some with AI assistance.
Indicatore Pine Script®
di TradeSymbiotic
CVDD Bands | Astral Vision CVDD Bands | Astral Vision 🌠💠 Coin Value Days Destroyed (CVDD) measures the aggregate economic weight of Bitcoin supply movements by combining the Realized Capitalization (the sum of all coins valued at their last on-chain movement price) with the cumulative destruction of coin-days through spending activity, smoothed over a 500-bar window and normalized against the fixed 21M supply ceiling. The result is a per-coin floor valuation that reflects how much long-term economic conviction the network has collectively expressed. This indicator builds a three-band structure anchored to that baseline: The mid band plots CVDD itself, historically coinciding with the deepest capitulation floors across every major Bitcoin cycle. The bottom band shifts CVDD downward by a configurable factor, defining a sub-floor extreme that has marked generational buying opportunities. The top band scales CVDD upward via a time-decaying power-law extension that compresses as Bitcoin matures, tracing the upper boundary of speculative excess against the network's fundamental valuation anchor. Calculation ⚙️ `CVDD = (Realized Cap − 500-bar SMA of Total Transfer Volume) / 21,000,000` The Realized Cap prices each coin at its last on-chain move; the smoothed transfer volume captures the cumulative economic weight of coin-day destruction. Dividing by the supply ceiling converts the result into a per-coin floor valuation. `CVDD Bottom = CVDD × shift_factor`: a simple downward scalar applied to CVDD, defining the sub-floor capitulation extreme. `CVDD Top = CVDD × 10^(a × time + b)`: a time-decaying power-law multiplier applied to CVDD. The exponent shrinks as Unix time increases, causing the top band to compress relative to CVDD as Bitcoin matures. Both the slope and intercept of the exponent are user-adjustable. Plots 📊 - CVDD Mid band on the price chart with triple-layer glow (widths 8/4/2, transparency 60/30/0) - CVDD Bottom band on the price chart with triple-layer glow - CVDD Top band on the price chart with triple-layer glow in negative color - Fill between Mid and Bottom bands - Background highlight when price closes above the Top band (distribution warning) - Background highlight when price closes below the Mid band (capitulation zone) Inputs 🎛️ - `Top Extension Slope Factor (%)` scales the time-decay rate of the power-law top extension (default 100) - `Top Extension Intercept Factor (%)` scales the vertical offset of the power-law top extension (default 100) - `Bottom Shift (%)` scales CVDD downward to define the sub-floor extreme (default 120, interpreted as ×1.2 inversion) Colors 🎨 5 Astral Vision presets + custom override. Default: Inferno. Positive color applies to Mid and Bottom bands; negative color applies to the Top band. Purpose 🎯 Standard CVDD implementations plot a single line with no envelope, leaving traders without context for how far price is from both the accumulation floor and the distribution ceiling within the same framework. This indicator converts CVDD into a full valuation band system: the bottom anchors the deepest possible accumulation zones, the mid marks the historical cycle floor, and the top provides a time-aware, power-law-adjusted resistance ceiling that self-compresses as Bitcoin's market matures. The three-band structure lets you read where price sits within the full cycle valuation range at a glance, without any external oscillator. Disclaimer ⭕️ It is not financial advice, not an investment recommendation, and not affiliated with any financial institution, research firm, or organization of any kind. All content is provided for educational and informational purposes only. Always conduct your own research before making any financial decision.
Indicatore Pine Script®
di AstralVision
Detrended Price Oscillator - Valuation and Trend | Astral VisionDetrended Price Oscillator - Valuation and Trend | Astral Vision 🌠💠 The Detrended Price Oscillator removes the dominant trend from price by subtracting a lagged moving average, isolating the cyclical component that trends obscure. The result is an oscillator centered around zero that reflects how far price has deviated from its medium-term mean, independent of whether the broader trend is up or down. This indicator extends the standard DPO with two structural additions. First, dynamic overbought and oversold bands are derived from the rolling standard deviation of the DPO itself, making the extremes statistically adaptive rather than fixed. Second, an optional moving average smoothing layer can be applied to the DPO before all calculations, reducing noise on lower timeframes. Two modes cover different use cases: "Extremes" identifies statistically significant deviations from the mean with explicit entry/exit signals, while "Trend" tracks whether the smoothed DPO is above or below its rolling mean as a directional read. Calculation ⚙️ `DPO = close − SMA(close, length) ` The lookback shift centers the moving average on the period being measured, removing the trend component while preserving cyclical deviations. An optional EMA or SMA of configurable length can then be applied to the raw DPO. `Overbought = SMA(DPO, stdLookback) + ob_multiplier × StdDev(DPO, stdLookback)` `Oversold = SMA(DPO, stdLookback) − os_multiplier × StdDev(DPO, stdLookback)` Both bands float dynamically with the evolving distribution of DPO values, tightening during low-volatility periods and expanding during high-volatility ones. Plots 📊 DPO line with 6-layer glow (linewidths 12/8/5/3/2/1, transparencies 88/78/65/50/30/0), colored by active regime Dynamic overbought and oversold band lines Rolling mean line Zero baseline (dashed) Triangle signals in the panel and on the price chart when DPO crosses back inside a band from an extreme (Extremes mode, signals enabled) Candle coloring on the price chart by active regime Background highlight on the price chart when either band is breached (Extremes mode) Inputs 🎛️ `Mode`: Extremes (band-crossing signals) or Trend (mean-relative direction) `DPO Length`: period of the internal SMA used to detrend price (default 21) `StDev Lookback`: rolling window for mean and standard deviation of the DPO (default 250) `Oversold StDev Multiplier`: band distance below the mean (default 1.8) `Overbought StDev Multiplier`: band distance above the mean (default 2.0) `Show Signals`: toggles triangle markers for band re-entry crossings `Use Moving Average` applies a smoothing MA to the DPO before all calculations `Moving Average Length` : period of the smoothing MA (default 10) `Moving Average Type`: EMA or SMA Colors 🎨 5 Astral Vision presets + custom override. Default: Hermes. Positive color activates at oversold extremes and above-mean trend; negative color activates at overbought extremes and below-mean trend; neutral applies to the mean line. Purpose 🎯 Standard DPO implementations plot a raw oscillator with no threshold logic and no statistical context, leaving the trader to visually judge whether a given deviation is significant or routine. Fixed overbought/oversold levels carry no meaning as market volatility changes over time. This indicator makes the extremes statistically rigorous: the bands adapt to the actual distribution of DPO values over the chosen lookback, so a breach always represents a genuinely unusual deviation regardless of the prevailing volatility regime. The signal markers fire specifically on band re-entries, not on the initial breach, identifying the moment mean reversion has begun rather than flagging the extreme itself. The six-layer glow rendering makes the oscillator's position relative to its bands immediately readable at a glance without requiring precise level inspection. Disclaimer ⭕️ It is not financial advice, not an investment recommendation, and not affiliated with any financial institution, research firm, or organization of any kind. All content is provided for educational and informational purposes only. Always conduct your own research before making any financial decision.
Indicatore Pine Script®
di AstralVision
Whale Volume Absorption & Aggression @MaxMaserati 3.0Whale Volume Absorption & Aggression @MaxMaserati 3.0 The Whale Volume Absorption & Aggression engine is a high-fidelity order flow diagnostic tool designed to decode the mechanical interaction between aggressive market participants and passive institutional liquidity. It identifies the presence of significant capital ("Whales") and determines whether that capital is driving price or being trapped by institutional walls. Core Functionality & Logic 1. Institutional Volume Tiering The indicator algorithmically categorizes every bar’s volume based on its deviation from the 20-period moving average. This creates a hierarchy of market participation: Whale (Institutional): High-conviction entry or exit points where institutional money is clearly active. Ultra (Climax): Anomalous, extreme volume prints that typically signify either trend exhaustion or major institutional ignition. Mid-Tier & Retail: Standard daily business and low-impact passive liquidity. 2. Aggression Detection (The Hammer) Aggression is identified when a Whale or Ultra volume tier is accompanied by a dominant Delta percentage. Mechanically, this confirms a "Sovereign" move where aggressive market orders have successfully cleared the opposing side of the order book, indicating high probability for price expansion. 3. Absorption Identification (The Wall) Absorption occurs when Whale or Ultra volume enters the market, but the resulting Delta is neutral or low. This signals a high-intensity battle where an institutional "Wall" (Limit Orders) is absorbing the "Hammer" (Market Orders). The indicator labels these events and identifies which side is being absorbed (e.g., Buy Absorbed or Sell Absorbed). 4. Post-Absorption Verdict Tracking The engine includes a specialized tracking module that monitors price action in a defined window following an absorption event. It issues a final verdict: CONFIRMED: The passive Wall won the battle, and price reversed away from the absorption zone. FAILED: The aggressive Hammer successfully chewed through the Wall, and price continued in the original direction. Advanced Analytics Suite Dual-Data Engine: The tool utilizes a high-resolution footprint request to extract 1:1 exchange-level Delta and Point of Control (POC). In environments where footprint data is unavailable, it switches to a Price Efficiency Proxy, modeling the relationship between candle displacement and range to maintain systematic consistency. Normalized CVD (Cumulative Volume Delta): A rolling normalization of net aggression that tracks the broader trajectory of institutional money flow. Delta % Line: A visual representation of net aggressive intensity, filtered through the volume tiering logic. Delta Divergence: Visual markers that highlight instances of hidden demand or supply—where price direction moves opposite to the dominant aggressive volume. How to Interpret the MMM Framework Filter Noise: Focus exclusively on the Whale (Deep Green/Red) and Ultra (Cyan/Purple) histogram bars. These represent the only participants capable of shifting market structure. Verify Execution: Use Strong Aggressive signals to confirm the health of a trend expansion. This proves the "Hammer" is in full control. Anticipate Reversals: Monitor Absorption labels. These identify the exact price levels where institutional Walls are positioned. Use the Post-Absorption Verdict to confirm if the Wall has held before considering a counter-trend entry. Disclaimer: This indicator is designed for professional structural analysis. It provides mechanical insights into institutional activity and should be used as part of a comprehensive trading plan.
Indicatore Pine Script®
di MaxMaserati
MVRV Z-Score Bands | Astral Vision MVRV Z-Score Bands | Astral Vision 💠🌠 Market Value to Realized Value (MVRV) measures the ratio between Bitcoin's market capitalization and its Realized Capitalization, the aggregate value of all coins priced at their last on-chain movement. When market cap significantly exceeds realized cap, the network is collectively sitting on large unrealized profits, historically a condition associated with distribution tops. When the two converge or invert, the network is near or below its aggregate cost basis, the condition that has defined every major accumulation floor. This indicator standardizes MVRV using the full historical standard deviation of market cap, producing a Z-Score that makes cycle extremes statistically comparable across all of Bitcoin's history. It then inverts the Z-Score thresholds back through the MVRV formula to project them as dynamic price levels directly onto the price chart, converting abstract statistical levels into concrete price bands that move in real time with Realized Cap. Calculation ⚙️ `MVRV Z-Score = (Market Cap − Realized Cap) / StdDev(Market Cap, all-time)` The standard deviation is computed over the entire available history of market cap using a growing array, ensuring the normalization reflects the full distribution of Bitcoin's market structure at every point in time. The price bands invert the Z-Score threshold back to price: `Band Price = BTC Price × ((target_Z × StdDev + Realized Cap) / Market Cap)` This back-projection means the overbought and oversold bands on the price chart represent exactly the price at which the MVRV Z-Score would equal the user-defined threshold given current on-chain conditions. Plots 📊 MVRV Z-Score line in the indicator panel, colored by active regime Overbought threshold line (negative color) and oversold threshold line (positive color) in the panel Dynamic overbought price band projected on the price chart (negative color, linewidth 3) Dynamic oversold price band projected on the price chart (positive color, linewidth 3) Background highlight on the price chart when price breaches either band Inputs 🎛️ `Oversold Value (Z-Score)`: lower threshold defining the accumulation extreme (default −0.2) `Overbought Value (Z-Score)`: upper threshold defining the distribution extreme (default 6.0) `Background Transparency`: opacity of the price chart background highlight when a band is breached (default 50) Colors 🎨 5 Astral Vision presets + custom override. Default: Paradiso. Positive color applies at oversold extremes; negative color applies at overbought extremes. Purpose 🎯 Standard MVRV Z-Score implementations display only the oscillator panel, requiring the trader to mentally translate Z-Score levels back to price, a calculation that changes every day as Realized Cap evolves. Threshold lines in the panel are static and offer no direct price context. This indicator closes that gap entirely. The Z-Score thresholds are continuously inverted to their equivalent price levels and projected as live bands on the chart, so the distance between current price and each extreme is always immediately readable without any mental conversion. As Realized Cap grows with each market cycle, the bands self-adjust upward, reflecting the structural elevation of Bitcoin's cost basis over time and keeping the signal relevant across every cycle without any manual recalibration. Disclaimer ⭕️ It is not financial advice, not an investment recommendation, and not affiliated with any financial institution, research firm, or organization of any kind. All content is provided for educational and informational purposes only. Always conduct your own research before making any financial decision.
Indicatore Pine Script®
di AstralVision
SMC + Liquidity Sweep PROSMC + Liquidity Sweep PRO A clean professional Smart Money Concepts (SMC) indicator built for traders who want high-quality institutional structure without chart clutter. This script focuses only on the most important market behavior: 🟥 Major Liquidity Sweeps Identifies strong stop hunts above key highs and below key lows where institutions often grab liquidity before reversing price direction. 🟨 Strong Break of Structure (BOS) Detects powerful institutional breaks of major swing highs and lows, helping traders confirm true market direction instead of weak fake breakouts. ⚡ Clean Chart Design No unnecessary FVG spam, no excessive signals, and no messy overlapping zones — only high-probability structure levels that matter. 🔍 Institutional Logic Built using: Major swing highs & lows ATR-based strength filtering Strong rejection confirmation Clear structural break validation This helps filter weak moves and focuses only on meaningful price action. 📈 Best Used For Gold (XAUUSD) Forex pairs Indices (NAS100, US30) Crypto Intraday & Swing Trading 🎯 Ideal For Traders Who Want Cleaner entries Better liquidity understanding Stronger market structure confirmation Professional SMC analysis without indicator overload This is not a signal-spamming indicator — it is designed for serious traders who value precision over quantity.
Indicatore Pine Script®
di VenusJ