Inizia

Trendpattern

Sentiment SquareThe Sentiment Square is a multi-timeframe (MTF) and multi-length volume analysis tool designed for TradingView. It provides a top-down visualization of market conviction by calculating the ratio of bullish volume to total volume across 16 different data points simultaneously. 1.Core Logic: How it Works The indicator calculates a Bullish Volume Ratio (BVR) for every square in the grid. BVR = sum ( Volume of Up Candles)/ sum(Total Volume) X 100 Up Candle: Any candle where Close > Open . Total Volume: The sum of all volume within the lookback window. Each percentage represents the "Share of Power" held by buyers. For example, a value of 70% means bulls provided 70% of the volume, while bears provided the remaining 30%. 2. Visual Interface The indicator uses a Transposed Matrix layout to match standard top-down trading analysis: X-Axis: Timeframes : Moves from your lowest selected timeframe (Left) to your highest (Right). Y-Axis: Lookback Windows: Moves from short-term momentum (Top) to long-term structure (Bottom). Color Definitions Green (Bullish): The percentage is above your Neutral Max (default 55%). Brighter green indicates extreme conviction (>70%). Red (Bearish): The percentage is below your Neutral Min (default 45%). Brighter red indicates extreme selling (<30%). Gray (Neutral): The percentage falls between 45% and 55%. This indicates a "tug-of-war" or sideways consolidation where neither side has a decisive majority. Input Settings Timeframes Window: Select four different intervals (e.g., 15m, 1h, 4h, 1D). Speed Window: Set four different lookback lengths (e.g., 20, 50, 100, 200 bars). Neutral Zone: Adjust the sensitivity of the Gray boxes. A wider range (e.g., 40%–60%) filter out more noise but responds slower to new trends. How to Interpret the Data Vertical Alignment (Columns): If a whole column is Green, that specific timeframe is bullish across all horizons (from fast momentum to slow structure). Horizontal Alignment (Rows): If a whole row is Green, it means that specific "window length" is showing buying pressure across all timeframes. The "Waiting Time" Signal: When a box is Gray, the volume is balanced. Traders typically wait for the percentage to move out of the 45%–55% range before confirming an entry. Trend Resilience: If the 15M (tactical) squares turn Red while the 1D (structural) squares remain Green, the market is likely undergoing a healthy pullback rather than a total reversal. Technical Limitations Data Lag: Higher timeframe squares (like 1D or 4H) only update when their respective candles close. Volume Requirement: This indicator requires volume data. It is most effective on Centralized Exchanges (Stocks, Crypto, Futures). On Forex, it uses "Tick Volume," which serves as a proxy for activity. Common Trade Setup Examples By observing the transition of colors and percentages across the matrix, you can identify high-probability market conditions. 1.The Trend Continuation (The "Dip-Buy") Condition: The right-most columns (4H and 1D) and the bottom rows (100 and 200) are solid Green. Setup: The top-left squares (15M / 20 Window) flip to Red or Gray. Trigger: Wait for the 15M / 20 square to flip back to Green (above 55%). Logic: The macro structure is bullish; the red squares indicate a temporary pullback that has now found buyers. 2. The Volatility Squeeze (The "Wait for Breakout") Condition: A cluster of Gray squares (45%–55%) appears in the middle of the matrix. Logic: Volume is perfectly balanced between buyers and sellers. This often precedes a massive "expansion" move. Strategy: Avoid entering while the cluster is Gray. Wait for the majority of the cluster to flip to either solid Green or solid Red. 3. The Top/Bottom Exhaustion Condition: All 16 squares are Vibrant Green (above 70%) or Vibrant Red (below 30%). Logic: The market is "over-extended." While the trend is strong, the probability of a reversal increases because there are few buyers/sellers left to push the price further. Strategy: Tighten stop-losses or look for "Divergence" where the price makes a new high but the percentages in the 20-window start dropping toward 60%. Summary of the "Wait Time" Metric The closer a number is to 50%, the more "waiting time" is required. As the numbers move toward 0% or 100%, the market conviction is increasing, and the "actionable" window is opening. Additional Information: 1. Core Logic The Sentiment Square calculates the Bullish Volume Ratio (BVR) across 16 data points. It measures "Share of Power" by dividing the volume of "Up Candles" (where Close > Open) by the total volume within a lookback window. 2. Visual Grid Layout X-Axis (Timeframes): Displays user-selected intervals from lowest (Left) to highest (Right). Y-Axis (Lookback Windows): Displays "Speeds" from short-term momentum (Top) to long-term structural sentiment (Bottom). 3. Color Definitions Green (>55%): Bullish conviction. Bright green (>70%) signals extreme strength. Red (<45%): Bearish conviction. Bright red (<30%) signals extreme selling. Gray (45%–55%): Neutral "Waiting Time." Indicates volume balance or consolidation. 4. Common Trade Setups The Dip-Buy: Occurs when macro columns (Right) are Green but tactical squares (Top-Left) temporarily turn Red/Gray. Entry is triggered when tactical squares flip back to Green. Volatility Squeeze: Identified by a cluster of Gray squares. Traders wait for a majority of the cluster to flip to a solid color before entering. Exhaustion: When all 16 squares reach extreme vibrant colors, the market is over-extended, increasing the probability of a reversal.
Indicatore Pine Script®
di traderharikrishna
Q Squeeze MomentumQ Squeeze Momentum Markets move in phases. Before strong moves begin, price often goes through a period of compression where volatility becomes very low. Eventually that pressure releases and price begins to move with momentum. Q Squeeze Momentum helps traders visualize that process in a clear and intuitive way. The indicator combines volatility compression, momentum behavior, and trend direction into a single visual framework that is easy to interpret even for newer traders. What the Indicator Shows The indicator focuses on three key elements of price behavior: • Momentum • Trend direction • Volatility compression Together they provide context for understanding when the market is quiet, when momentum is building, and when conditions start to align. Momentum Histogram The histogram shows how momentum is evolving over time. Color interpretation: • Aqua → bullish momentum strengthening • Teal → bullish momentum slowing down • Orange → bearish momentum strengthening • Red → bearish momentum slowing down This allows traders to quickly see whether buyers or sellers are gaining or losing pressure. Trend Context The background color reflects the broader directional environment. Green background → Uptrend Red background → Downtrend This helps traders interpret momentum within the context of the overall trend rather than viewing it in isolation. Volatility Compression (Squeeze) Dots along the zero line highlight periods of volatility compression. When volatility contracts, the market is often building energy before the next expansion phase. These areas can help traders recognize moments when price activity may soon increase. Entry Markers Triangles appear when several conditions align: • The market exits a volatility squeeze • Momentum begins expanding • The trend supports the direction Green triangle → potential bullish momentum shift Red triangle → potential bearish momentum shift These markers highlight moments when market conditions begin to align and momentum may start to build. Status Table The table in the corner provides a quick overview of current market conditions: Momentum → current momentum state Trend → current directional bias This allows traders to quickly understand the market environment without interpreting every element of the indicator. How Traders Use It Traders often use this type of structure to: • identify momentum expansion after volatility compression • confirm trend continuation • filter trade setups • recognize shifts in market pressure The indicator is designed to support market analysis, not replace it. Important This script is a visual analysis tool intended to help traders better understand market conditions. It does not predict future price movement and should not be used as a standalone trading system. Always combine it with your own analysis and proper risk management. Trade with clarity — stay for quality.
Indicatore Pine Script®
di Quantora
Trend Pullback DetectorDetects high-momentum impulse legs in real time and alerts you the moment they complete — so you're ready when the 50% retracement sets up. How it works The indicator scans for consecutive large bullish or bearish candles that together form a significant directional leg. When a qualifying run ends, it locks in two points: Leg A — the origin of the move (open of the first candle) Leg B — the terminus of the move (high/low of the last candle) From there it plots the 50% midpoint of the leg and watches for price to retrace into that zone. When price pulls back the right amount and begins to recover, it marks the Entry, Stop Loss, and Profit Target directly on the chart. Three alert conditions A/B Bull Leg Detected A/B Bear Leg Detected A/B Bull or Bear Leg Detected Set your preferred alert and get notified the moment a leg completes — giving you time to watch for the retracement before the next move begins. Key settings Min Consecutive Candles — how many qualifying candles define a leg Min Candle Size — filters out small or indecisive candles within the run Min Total Leg Size — ensures the full move is significant relative to current volatility (ATR-based) Retrace Zone — the pullback depth range that qualifies as a valid 50% setup (default 38–65%) Works on any market and timeframe. Best used on liquid instruments where momentum legs are clean and decisive — equities, ETFs, futures, crypto.
Indicatore Pine Script®
di confidencewindow
Volatility Regime Switch [Metrify]VRS is a regime classifier that tries to separate two things most indicators mix together: direction and tradability. It doesn’t just ask "is price above/below a line?". it estimates whether the market is currently behaving more like a trend regime or a noise/chop regime, then adapts its switching logic and trailing structure accordingly. The output is a state machine (bull/bear) with a volatility-normalized corridor, plus explicit markers for switch accepted vs switch rejected. Core idea: switching should depend on regime Most trend flip tools fail in choppy markets because they apply the same confirmation rules everywhere. VRS tries to avoid that by measuring a continuous regime score: trreg ≈ how “trend-like” conditions are nsreg ≈ how “noise-like” conditions are That regime estimate is then used to: shape the trailing band distance (wider in chop, tighter in trend), change the required confirmation for a switch (more strict in noise), and demand follow-through after a candidate switch (acceptance check). Regime estimation: how it decides “trend-like” vs “noise-like” The regime score is built from three normalized features, then blended using inverse-variance weighting again: Efficiency ratio (ER): Measures directional efficiency: net displacement over a horizon vs total movement. Trends have higher efficiency; chop has lower. ADX-like trend strength: A custom ADX calculation is normalized (adxn), giving a bounded “trend strength” component. Volatility ratio (fast/slow): Compares fast ATR to slow ATR and normalizes it. This helps distinguish active expansion vs quieter conditions. These three components are combined into trreg (0..1). Noise regime is nsreg = 1 - trreg. The important part is it can behave differently when the market is structurally trending versus when it is structurally noisy. The anchor + adaptive bands: how the corridor is built VRS uses two EMAs: a fast EMA (emaf) a slower EMA (emas) It then creates an anchor that interpolates between them based on regime: when trend regime is strong (trreg high), the anchor leans toward the fast EMA (more responsive) when noise regime is strong (nsreg high), it leans toward the slow EMA (more stable) Band distance is bdist = volc * bmult, and bmult is also regime-dependent: in noise, bmult becomes larger → bands widen → fewer false flips in trend, bmult tightens → better trailing sensitivity Finally, the trailing bands (fup, flo) use a classic "non-decreasing band" logic similar to trailing-stop structures: the band only moves in the favorable direction unless price invalidates it, preventing constant band oscillation. Bias and conviction layer A switch is not triggered merely by close above/below a band. VRS computes conviction, which mixes: Intra-bar price action bias Two normalized elements are used: CLV (close location value) inside the candle range and body direction/strength relative to candle range. Both are Z-scored and squashed (atan-based) to avoid extreme outliers dominating. Trend bias Difference between fast and slow EMA, normalized by volatility, then Z-scored and squashed. Displacement breakout quality If price breaks above fup or below flo, it computes a breakout 'distance' normalized by volatility, then converts it into a Z-score relative to recent breakout behavior (dbullz, dbearz) These get blended into a conviction signal that is smoothed, and then compared against a dynamic trigger threshold built from the average + stdev of conviction magnitude. A flip should happen when price action + trend bias + breakout quality jointly exceed what is normal for this market recently. Practical reading notes VRS generally behaves best when read as "current regime context + boundary + switch events" rather than as a constant entry/exit engine. In trending conditions, the trail will tend to hug price more tightly and switches will be less frequent. In noisy conditions, the corridor widens and the script becomes more conservative, often producing rejected switch attempts rather than rapid flips. The rejected-switch markers (yellow X) are explicit evidence that the script detected an attempted regime change but did not see enough acceptance. For discretionary use, those rejection points can be useful as information about failed break attempts or lack of follow-through. This script is designed to be adaptive, but it still has structural constraints. It uses volatility normalization and regime weighting to reduce parameter brittleness, yet extreme regime changes (sudden volatility spikes, news-driven moves, illiquid gaps) can still cause behavior that looks late or 'overly strict', because acceptance and confirmation are intentionally conservative in high-noise conditions. Conversely, on very smooth trend legs, the trail can appear tight and switches may look clean, but that depends on how the chosen lengths match the instrument’s tempo. Also, because this is a state machine with acceptance logic, you should expect situations where price briefly breaks a boundary and then returns—those are exactly the environments that produce rejected switches. The indicator surfaces that behavior explicitly instead of hiding it.
Indicatore Pine Script®
di Metrify
Adaptive Spectral Forecast [WillyAlgoTrader]📡 Adaptive Spectral Forecast is an overlay indicator that applies Goertzel spectral analysis to decompose price into its dominant cyclical components, reconstructs them as a harmonic sum, and then extrapolates the resulting waveform forward in time to generate a visual forecast with confidence bands. Signals fire when the forecast direction changes with sufficient signal-to-noise ratio and trend alignment — projecting where price is likely to oscillate next based on the cycles detected in recent history. This is a fundamentally different approach from trend-following or momentum-based indicators. Instead of asking "where is price going based on its direction and speed?", spectral analysis asks "what recurring cycles exist in this price data, and where do they project to next?" The Goertzel algorithm is a targeted frequency detector — it scans a range of cycle periods, measures the power (amplitude²) at each frequency, identifies the dominant peaks, computes their exact phase and amplitude via DFT projection, and recombines them into a multi-harmonic forecast that decays toward the adaptive trend as it extends into the future. 🧩 WHY THESE COMPONENTS WORK TOGETHER Raw price is a mix of trend, cycles, and noise. Attempting to forecast raw price directly fails because trend and cycles require different extrapolation methods: trend continues linearly, cycles repeat sinusoidally, and noise should not be extrapolated at all. This indicator solves the problem through decomposition and reassembly: EMA trend extraction → Hann-windowed detrending → Goertzel spectral scan → SNR peak detection → DFT coefficient extraction → Harmonic recombination with decay → Trend re-addition → Confidence bands Each stage addresses a specific challenge: — Trend extraction separates the slow directional component so it can be extrapolated linearly (via slope), not sinusoidally — Hann windowing reduces spectral leakage — without it, the finite data window creates false frequency peaks that contaminate the analysis — Goertzel scanning efficiently measures power at each candidate frequency without computing a full FFT — enabling targeted, adaptive-resolution frequency detection — SNR filtering ensures only cycles with meaningful signal strength are included — weak noise-level frequencies are discarded — DFT coefficient extraction computes the exact amplitude and phase of each selected cycle on un-windowed data (the Hann window is only for spectral scanning, not for coefficient calculation — this preserves correct amplitudes) — Harmonic decay causes the cyclic component to gradually fade toward the trend as the forecast extends forward — reflecting the reality that detected cycles have limited persistence — Confidence bands widen with √(bars ahead) × ATR, showing that forecast uncertainty grows with distance Removing any component breaks the pipeline: without detrending, the Goertzel scan detects the trend as a low-frequency "cycle". Without Hann windowing, spectral leakage creates phantom peaks. Without SNR filtering, the forecast includes noise-level harmonics that produce random oscillations. Without decay, the harmonic projection repeats forever at full amplitude (unrealistic). The full pipeline is required. 🔍 WHAT MAKES IT ORIGINAL 1️⃣ Goertzel spectral analysis for cycle detection. The Goertzel algorithm is a single-frequency DFT that computes the power at one specific period using a recursive formula: s0 = data + 2×cos(2π/period) × s1 − s2 After iterating through all N data points, the power is: (s1 − s2×cos(ω))² + (s2×sin(ω))², normalized by N² for cross-period comparability. The indicator scans every integer period from Min Cycle Period (default 8) up to N/2, with an adaptive step size: every period for fast cycles (≤30 bars), step of 2 for longer cycles (reducing computation without losing resolution where it matters most). For each period, the Goertzel power is computed, producing a power spectrum — a map of which cycle lengths carry the most energy in the current price data. This is fundamentally more targeted than an FFT. An FFT computes power at all frequencies simultaneously but at fixed resolution (determined by window size). The Goertzel approach allows scanning exactly the frequency range of interest with customizable resolution. 2️⃣ SNR-based peak detection with fallback. From the power spectrum, the indicator identifies local peaks (frequencies where power is higher than both neighbors) and computes the Signal-to-Noise Ratio for each: SNR = peak_power / mean_power_across_all_frequencies. Only peaks with SNR ≥ Min Cycle SNR (default 2.0) are accepted as genuine cycles — the rest are considered noise-level fluctuations. If no peaks pass the SNR filter (possible in highly random or trend-dominated price action), the algorithm falls back to the single strongest frequency. In this case, the dashboard displays "Weak*" strength and buy/sell signals are suppressed — the forecast is shown for visual reference only, but the indicator acknowledges that no reliable cyclical structure was found. The top N peaks (sorted by power, N = Harmonics Count, default 5) are selected as the dominant cycles. 3️⃣ DFT coefficient extraction on un-windowed data. For each selected cycle period, the indicator computes exact sine and cosine coefficients using standard DFT projection: a = (2/N) × Σ data × sin(2π × i / period) b = (2/N) × Σ data × cos(2π × i / period) Critically, this computation uses the raw detrended data (without Hann windowing). The Hann window was only applied for the spectral scan (to identify which frequencies are dominant). Using windowed data for coefficient extraction would distort the amplitude of the harmonics. This two-pass approach — windowed scan for detection, raw data for coefficients — is a key design choice that preserves forecast accuracy. 4️⃣ Harmonic extrapolation with configurable decay. The forecast is constructed by evaluating the harmonic sum at each future bar: forecast = trend_projection + Σ (a_k × sin(ω_k × t) + b_k × cos(ω_k × t)) × decay^(t − t_base) Where trend_projection = trend_last + trend_slope × bars_ahead (linear extrapolation of the EMA trend). The decay factor (default 0.97) causes harmonic amplitude to reduce by 3% per bar, so the cyclic component gradually fades and the forecast converges toward the trend line. At decay = 1.0, harmonics repeat at full amplitude forever (pure cycle projection). At decay = 0.95, they fade rapidly (forecast becomes trend-only within ~20 bars). Default 0.97 provides meaningful oscillation for the first 20–30 bars before fading. The forecast line is colored by segment: green segments where the forecast is rising, red where falling. Reversal dots mark predicted peaks and troughs. 5️⃣ ATR-based confidence bands with √t scaling. Uncertainty in the forecast grows with distance. The confidence band width is calculated as: band_width = ATR(14) × confidence_multiplier × √(bars_ahead) The √t scaling follows the mathematical principle that forecast variance grows linearly with time horizon (standard deviation grows with square root). The ATR provides the natural volatility scale of the instrument. At bar +1, the band is approximately ATR × multiplier. At bar +25, it's 5× wider. This gives a realistic visual envelope of where price might actually be, not just the central harmonic forecast. 6️⃣ 3-bar consensus forecast direction. Instead of using a simple "is the next bar higher or lower?" check (which is noisy), the forecast direction is determined by majority vote over 3 bars: The indicator evaluates the forecast at t+0, t+1, t+2, t+3 and counts upward moves: upVotes = (y1>y0 ? 1:0) + (y2>y1 ? 1:0) + (y3>y2 ? 1:0). If ≥2 of 3 transitions are upward → forecast direction is bullish. If ≤1 → bearish. This consensus approach prevents a single-bar oscillation from flipping the forecast direction. 7️⃣ Trend alignment filter for signal quality. When enabled (default on), buy signals require the EMA trend slope to be positive, and sell signals require negative slope. This prevents the indicator from generating counter-trend signals when a cycle oscillation temporarily points against the broader trend — which is the most common source of false signals in cycle-based systems. If the trend filter blocks a direction change, the forecast visualization still updates (you can see the cycle projection) but no signal label is emitted. Additionally, signals are suppressed when the SNR is below the minimum threshold or when the spectral scan fell back to a single non-significant frequency. 8️⃣ Adaptive trend extraction with linear extrapolation. The trend component is extracted using an EMA with configurable smoothing (default 30 bars), applied forward using the buildTrendArray function. The trend's slope is computed via weighted linear regression over the last 5 points of the trend array — providing a stable slope estimate that isn't dominated by a single bar. The trend is extrapolated linearly into the forecast: trend_forecast = trend_last + slope × i. This linear projection is appropriate for the short-term forecast horizon (15–55 bars) where trend curvature is typically negligible. 9️⃣ Historical fit visualization. The reconstructed harmonic sum + trend is plotted over historical data as a polyline, showing how well the detected cycles explain the actual price movement. This serves as an immediate visual validation: if the fit tracks price well, the detected cycles are meaningful. If the fit diverges significantly, the current market regime may not have strong cyclical structure (reflected in low SNR scores in the dashboard). The fit line is colored by trend direction (green for bullish slope, red for bearish) and decimated for performance (every 1–3 bars depending on lookback length). 🔟 Four presets with coordinated parameter scaling. — Conservative : lookback ≥ 150, harmonics ≤ 3, forecast ≥ 40 bars — stable, long-term cycles, less overfitting risk — Default : user settings unchanged — Aggressive : lookback ≤ 80, harmonics +1, forecast ≤ 25 — faster adaptation, more cycles included — Scalping : lookback ≤ 50, harmonics +2, forecast ≤ 15 — shortest window, most harmonics, very short projection Each preset adjusts lookback (spectral window), harmonics count (complexity), and forecast length (projection horizon) as a coordinated unit. Longer lookback needs fewer harmonics (the cycles are more stable). Shorter lookback needs more harmonics (to capture the faster fluctuations within the compressed window). ⚙️ HOW IT WORKS — CALCULATION FLOW Step 1 — Data collection: The last N bars (Analysis Lookback, default 144) of the selected price source are collected into an array, oldest first. Step 2 — Trend extraction: An EMA with the Trend Smoothing period (default 30) is applied across the array using a forward-pass recursive formula: trend = α × price + (1−α) × trend . This produces a smooth trend array. Step 3 — Detrending + Hann window: Each bar's trend value is subtracted from its price. The residual is multiplied by a Hann window: w = 0.5 × (1 − cos(2π×i/(N−1))). This isolates the cyclical component while minimizing spectral leakage at the data boundaries. Step 4 — Goertzel spectral scan: For each candidate period from minPeriod to N/2 (adaptive step: 1 for periods ≤30, 2 for longer), the Goertzel algorithm computes power. The result is a power spectrum across all scanned frequencies. Step 5 — Peak detection: Local maxima in the power spectrum are identified (power > both neighbors). Each peak's SNR is computed against the mean power. Peaks with SNR ≥ threshold are accepted. If none pass, the strongest single frequency is used as fallback (with "Weak*" marking). Step 6 — Coefficient extraction: For the top N peaks (by power), sine and cosine coefficients are computed via DFT projection on raw (un-windowed) detrended data. This gives exact amplitude and phase for each cycle. Step 7 — Forecast generation: The trend is extrapolated linearly using its 5-bar regression slope. Each harmonic is evaluated at future time steps with decay applied. The sum of trend + decayed harmonics produces the central forecast line. Confidence bands = ATR × multiplier × √(bars_ahead). Step 8 — Direction and signals: 3-bar consensus determines forecast direction. Trend filter and SNR check gate signal emission. Buy/sell labels appear on bar-close confirmation. 📖 HOW TO USE 🎯 Quick start: 1. Add the indicator — the historical fit and forecast line appear on the last bar 2. The colored dotted line extending right is the forecast (green = rising, red = falling) 3. Colored dots (●) on the forecast mark predicted peaks and troughs 4. Dotted lines above and below = confidence bands (forecast uncertainty zone) 5. ▲/▼ labels = buy/sell signals when the forecast direction changes 👁️ Reading the chart: — 🟢 Green solid line on history = harmonic fit (uptrend slope) — 🔴 Red solid line on history = harmonic fit (downtrend slope) — 🟢🔴 Dotted line extending right = forecast (colored by direction: green rising, red falling) — 🔵 Upper/lower dotted lines = confidence bands (uncertainty grows with distance) — 🟢 ● dots = predicted troughs (potential support) — 🔴 ● dots = predicted peaks (potential resistance) — 🟢 ▲ below bar = buy signal (forecast changed to bullish) — 🔴 ▼ above bar = sell signal (forecast changed to bearish) 📊 Dashboard fields: — Trend: current EMA trend direction (Bullish / Bearish / Neutral) — Forecast: predicted direction (▲ Up / ▼ Down / — Flat) — Signal: current state (BUY / SELL / Bullish Bias / Bearish Bias / Wait) — Strength: cycle quality based on average SNR (Strong > 5.0 / Medium > 2.5 / Weak / Weak* = fallback) — Dom. Cycle: dominant cycle period in bars (e.g., "34 bars") — Cycles: how many cycles passed SNR filter vs. requested (e.g., "3 / 5") — Timeframe, preset, version 🔧 Tuning guide: — Forecast too noisy: reduce Harmonics Count (3), increase Min SNR (3.0+), increase Trend Smoothing — Forecast too smooth: increase Harmonics Count (5–7), decrease Min SNR (1.5), decrease Trend Smoothing — Cycles don't match price: increase Analysis Lookback (200+) for more stable cycle detection, or decrease for faster adaptation — Forecast fades too fast: increase Decay Rate toward 0.99–1.0 — Forecast unrealistic long-term: decrease Decay Rate toward 0.95, reduce Forecast Bars — Too many false signals: enable Trend Alignment Filter, increase Min SNR — Scalping 1–5M: use Scalping preset (lookback ≤50, 7 harmonics, 15-bar forecast) — Swing 4H–1D: use Conservative preset (lookback ≥150, 3 harmonics, 40-bar forecast) ⚙️ KEY SETTINGS REFERENCE ⚙️ Main: — Analysis Lookback (default 144): spectral analysis window — the last N bars analyzed — Harmonics Count (default 5): how many dominant cycles to include in the forecast — Min Cycle Period (default 8): shortest cycle to scan for (bars) — Preset (default Default): Conservative / Default / Aggressive / Scalping — Trend Alignment Filter (default On): require trend-forecast agreement for signals 🔮 Forecast: — Forecast Bars (default 55): projection length into the future — Confidence Band Width (default 1.5× ATR): band multiplier — Trend Smoothing (default 30): EMA period for trend component — Harmonic Decay Rate (default 0.97): amplitude reduction per bar (1.0 = no decay) — Min Cycle SNR (default 2.0): signal-to-noise threshold for cycle acceptance 🎨 Visual: — Historical fit, trend line, reversal dots, confidence bands (all toggleable) — Auto / Dark / Light theme 🔔 Alerts — 🟢 BUY — ticker, price, timeframe, time — 🔴 SELL — same fields Both support plain text and JSON webhook format. Signals are bar-close confirmed, direction-locked, trend-filtered, and SNR-gated. ⚠️ IMPORTANT NOTES — 📐 This is spectral analysis, not trend following. The indicator detects and projects recurring cycles. In markets with strong cyclical structure (commodities, forex majors, crypto with regular oscillations), it performs well. In news-driven or momentum-dominated markets with no cyclical structure, the SNR will be low and the forecast unreliable — the dashboard reflects this via the Strength reading. — 🚫 No repainting of signals. The spectral analysis runs on barstate.islast (updating the forecast in real time on the current forming bar). Signals only fire on the next barstate.isconfirmed bar, after the forecast direction has been set. This means the forecast line itself updates in real time (by design — it's a live projection), but buy/sell signals are confirmed and do not change retroactively. — 📊 The forecast is a projection, not a prediction. It shows where price would go if the detected cycles continue with their current amplitude and phase. Real markets introduce new information that disrupts cycles. The confidence bands reflect this growing uncertainty. Treat the forecast as a probabilistic zone, not a target. — 🔄 "Weak*" strength means no cycles passed the SNR filter and the indicator fell back to the single strongest frequency. In this state, signals are suppressed. The forecast is still shown for visual reference but should not be trusted for trading decisions. — ⚖️ The Hann window is applied only for spectral scanning , not for coefficient extraction. This is deliberate: the window prevents spectral leakage during frequency detection, but the un-windowed data preserves correct harmonic amplitudes for the forecast. — 📏 The forecast extends a fixed number of bars into the future. Accuracy degrades with distance — the first 10–15 bars are typically the most reliable. The confidence bands quantify this degradation visually. — 🛠️ This is a spectral analysis and forecasting tool , not an automated trading bot. It detects cycles, projects them forward, and generates directional signals — trade decisions remain yours. — 🌐 Works on all markets and timeframes. Cycle periods adapt automatically to whatever timeframe you apply it on.
Indicatore Pine Script®
di WillyAlgoTrader
AMT Multi-Ticker Imbalance Dashboard [AMT] + Strength/Age ScoreAMT Multi-Ticker Imbalance Dashboard + Strength/Age Score The AMT Multi-Ticker Imbalance Dashboard is a multi-asset volume imbalance scanner designed to detect, rank, and compare stacked buying or selling pressure across up to six symbols — all from a single chart. This tool does not rely on simple candle direction or trend signals. Instead, it builds a structured micro-profile of price and volume distribution over a rolling lookback window, then identifies stacked volume dominance inside price bins. The result is a real-time dashboard that highlights where aggressive participation is building — and how strong and fresh that imbalance is. What This Script Does This script: • Scans up to 6 user-defined tickers simultaneously • Builds a rolling price-volume profile over a configurable lookback • Detects stacked buy or sell imbalances inside price bins • Measures imbalance strength (stack size) • Tracks imbalance age (how recent it triggered) • Calculates a weighted strength score • Displays everything in a color-graded dashboard It functions as a cross-market orderflow pressure monitor, helping traders identify where initiative activity is expanding across correlated or leading assets. The Core Concept: Stacked Volume Imbalances Instead of evaluating the whole bar as bullish or bearish, the script: Takes the last Profile Lookback bars. Finds the highest high and lowest low. Divides that range into Profile Resolution bins (price slices). Inside each bin, it calculates: Total buy volume (close > open) Total sell volume (open > close) It then measures dominance: Buy imbalance = Buy volume ≥ threshold % of total volume Sell imbalance = Sell volume ≥ threshold % of total volume If multiple consecutive bins meet that dominance threshold, they form a stack. Stack size represents how many adjacent price zones show aggressive one-sided participation. Why Stacked Imbalances Matter Single imbalances can be noise. Stacked imbalances suggest: • Aggressive initiative activity • Strong directional conviction • Potential continuation pressure • Possible structural repricing The script only signals when the stack size meets or exceeds the Stack Size Trigger, filtering weak participation. Dashboard Columns Explained 1️⃣ Ticker The symbol being scanned. 2️⃣ Stack Displays: “X BUY” → number of consecutive buy imbalance bins “X SELL” → number of consecutive sell imbalance bins “—” → no qualifying imbalance 3️⃣ Bias Directional interpretation: Bullish Imbalance Bearish Imbalance Neutral 4️⃣ Score (Strength + Recency Weighted) The score combines: Stack Size × Age Weight Age weighting logic: New signal (age = 0 bars): 1.5x multiplier 1–3 bars old: 1.0x multiplier Older than 3 bars: 0.5x multiplier This means: • Fresh imbalances rank higher • Older signals decay in importance • Strong and new stacks visually dominate Color Logic Color intensity reflects both direction and weighted strength: Bullish Bright Green → Strong + Fresh Medium Green → Moderate Dim Green → Weak or Aging Bearish Bright Red → Strong + Fresh Medium Red → Moderate Dim Red → Weak or Aging Neutral = Gray This allows instant visual ranking across assets. Inputs Explained Profile Lookback Number of bars used to build the rolling profile. Smaller values: • Faster responsiveness • More reactive Larger values: • Smoother structure • More institutional footprint detection Profile Resolution Number of bins dividing the price range. Higher resolution: • More granular imbalance detection • More sensitive stacking Lower resolution: • Broader structural imbalance zones Bin Imbalance Threshold Minimum % dominance required to qualify. Default: 0.75 (75%) Higher: • Stronger conviction required • Fewer but more aggressive signals Lower: • More frequent but softer signals Stack Size Trigger Minimum consecutive imbalance bins required. This filters weak activity and prevents single-bin noise. Dashboard Position Choose where the table appears. How This Script Is Original This is not: • A delta oscillator • A cumulative volume line • A simple up/down volume ratio • A standard volume profile It uniquely combines: Rolling dynamic profile construction Per-bin dominance calculation Consecutive imbalance stacking Multi-ticker cross-asset scanning Age-weighted strength scoring Visual ranking dashboard Most imbalance tools operate on a single chart and focus on visual zones. This script transforms imbalance logic into a comparative, cross-market decision tool. How Traders Can Use It: Market Leadership Detection Identify which asset is currently driving momentum. Example: If IWM shows a fresh 5 BUY stack while SPX shows neutral → small caps may be leading risk appetite. Confirmation Tool Use imbalance confirmation before entering: • Breakouts • Acceptance above value • Fair value gap continuation • Sequence continuation setups Rotation Monitoring Watch for: • Bullish stacks turning neutral • Bearish stacks emerging in correlated assets • Leadership shifting across sectors Timing Advantage Fresh stacks (bright colors + high score) highlight where initiative flow is most recent — often before broader price expansion. Important Notes • Signals are calculated on the chart’s current timeframe. • Higher timeframes detect structural imbalance. • Lower timeframes detect short-term aggression. • This is a participation pressure scanner — not a standalone entry trigger. • Always confirm with structure, liquidity, and context. Summary The AMT Multi-Ticker Imbalance Dashboard transforms raw volume into structured imbalance intelligence. It tells you: • Who is dominant (buyers or sellers) • How strong that dominance is • How fresh it is • Which asset is leading I nstead of watching one chart, you monitor relative aggressive participation across six markets — in real time — with objective scoring and visual ranking. This allows traders to align with the strongest active pressure, avoid fading initiative flow, and improve timing precision through imbalance awareness.
Indicatore Pine Script®
di samb817
2
RBM - Range Body MeasureRBM – Range Body Measure A structural strength indicator for intraday trend filtering and noise avoidance This indicator measures the quality of price movement using the Range Body Measure (RBM), a composite metric derived from normalized range expansion and candle body efficiency. RBM helps identify whether price action is clean and directional, or weak and choppy. 🔍 What RBM Measures RBM is built from two key structural components: Range Expansion EMA of (High − Low), normalized by ATR Captures how meaningfully price is moving relative to volatility Body Efficiency EMA of (Candle Body / Total Range) Measures how directional each candle truly is RBM combines these to produce a smooth structural score typically between 0 and 1. Low RBM = weak structure, chop, noise High RBM = strong directional structure, trend-friendly movement 🎯 Trend & Chop Zones Two adjustable thresholds define structural zones: 🔴 Chop Zone Highlighted only when RBM < Chop Threshold Only the area below the threshold is shaded Indicates low-quality, non-directional movement Useful to filter out no-trade periods 🟢 Trend Zone Highlighted only when RBM > Trend Threshold Only the area above the threshold is shaded Indicates strong structure suitable for directional trades The middle region is intentionally left unshaded to keep the chart clean. 🛡️ Built-In Safety Trend threshold automatically adjusted to be ≥ Chop threshold Chop shading disabled if threshold ≤ 0 Trend shading disabled if threshold ≥ 1 This ensures stable, predictable behavior regardless of user settings. 📌 Intended Use Cases Filtering low-quality market structure before entering trades Validating directional setups for CE/PE options or index futures Avoiding chop-heavy intraday periods Enhancing systems based on VWAP, MACD histogram Building multi-layer conviction models for trend trading
Indicatore Pine Script®
di gokul4trading
BASCOOL_LibBASCOOL Library v1 Range–Body Structure Analysis Toolkit for Intraday Trading The BASCOOL Library provides high-quality, reusable Pine Script components for structural conviction analysis based purely on price action. It is designed for intraday traders who rely on volatility-adjusted range expansion and candle-body efficiency to identify strong, weak, or choppy market conditions. Included Functions rbm_from_ohlc() – Range–Body Measure (RBM) A volatility-normalized structure indicator that evaluates: Range Expansion: Smooth EMA of (High–Low), normalized by ATR → captures strength of movement relative to volatility Body Efficiency: Body-to-Range ratio smoothed with EMA → measures how much of the candle’s range is “directional” The RBM output is a smooth structural strength score typically between 0 and 1, where: High RBM → strong structure, clean movement, trend-friendly conditions Low RBM → compressed ranges, weak bodies, low-quality structure Flat RBM → choppy environment, avoid directional trades
Libreria Pine Script®
di gokul4trading
SuperTrend AI AdaptiveSuperTrend AI detects market regime shifts and adapts the band width automatically, then scores every trend flip with a 5-factor quality engine so you know which signals to trust. ◈ How It Works Standard SuperTrend has one fixed multiplier. It works great in trending markets but gets chopped apart in ranging conditions. This version solves that by detecting the current market regime and adapting in real time. The indicator classifies every bar into one of three regimes: TRENDING: ADX above threshold + normal ATR. Multiplier stays at base. SuperTrend works as intended. RANGING: ADX below threshold + compressed ATR. Multiplier tightens slightly for faster response. Band draws as a dotted line to warn you. VOLATILE: ATR expanding well above its historical average. Multiplier widens to absorb the noise and prevent false flips. The regime is determined by two factors: the ATR ratio (current ATR vs its moving average over the lookback period) and the ADX reading. This gives you a structural view of market conditions, not just price direction. ◈ Adaptive Multiplier When adaptation is enabled, the multiplier adjusts dynamically: In volatile regimes, the multiplier increases proportionally to how expanded the ATR is. This widens the band and filters out noise-driven flips. In ranging regimes, the multiplier drops to 85% of base. Tighter bands let you catch the transition when a real trend starts. In trending regimes, the multiplier stays at base. No adjustment needed when conditions are ideal. The multiplier is capped between 0.5x and 2x of your base setting so it never goes extreme. You can see the current adaptive multiplier in the dashboard at all times. ◈ AI Signal Scoring Every SuperTrend flip gets a quality score from 0 to 100 based on 5 factors: Volume Surge (0-20 pts): Volume on the flip bar vs 20-period average. Higher volume = more conviction behind the move. Displacement (0-25 pts): How far price closed beyond the band on the flip. Bigger displacement = stronger breakout. Trend Alignment (0-20 pts): Does the flip direction match the EMA trend? Aligned signals score higher. Regime Quality (0-15 pts): Signals in trending regimes score highest. Ranging regime signals get penalized. Band Distance (0-20 pts): How far price traveled to reach the band before flipping. Wider gap = more conviction. Bright signals (★) score above 70 and represent high-quality flips with multiple factors confirming. Dim signals (○) score 40-69 and are worth watching but carry more risk. By default only bright signals display. ◈ Visual System The band uses a neon glow effect (three layered plots) that makes it easy to track on any chart. The band color itself tells you the current regime at a glance: Green/red glow = trending regime, normal SuperTrend behavior. Amber glow = volatile regime, multiplier has widened to absorb noise. Gray dotted line = ranging regime, multiplier tightened, use caution. A subtle background tint appears during volatile (amber) and ranging (gray) periods so you can see regime context without looking at the dashboard. Both the glow and background tint can be toggled off in settings. The gradient fill between price and band is available but off by default. Enable it in settings if you prefer that style. ◈ How to Read the Dashboard ST AI ◈: header Trend: current SuperTrend direction (▲ BULLISH / ▼ BEARISH) with bias label Regime: current market classification (TRENDING / VOLATILE / RANGING) with ATR ratio EMA: whether the trend EMA agrees with SuperTrend direction (✓ ALIGNED / ✗ COUNTER) Multiplier: current adaptive value vs your base setting ADX: trend strength reading with visual bar Signal: last signal state with score in points ◈ Recommended Settings Forex (EUR/USD, GBP/JPY) 1H to 4H: ATR 10, Multiplier 3.0, Regime Lookback 40, ADX 14 Crypto (BTC, ETH) 1H to 4H: ATR 10, Multiplier 3.0, Regime Lookback 50, ADX 14 Scalping 5min to 15min: ATR 7, Multiplier 2.0, Regime Lookback 30, ADX 10 Swing trading Daily: ATR 14, Multiplier 3.5, Regime Lookback 50, ADX 14 Indices (NAS100, SPX500) 15min to 1H: ATR 10, Multiplier 2.5, Regime Lookback 40, ADX 14 For fewer signals: Raise Min Signal Score to 60+, increase cooldown For more signals: Lower Min Signal Score to 30, enable dim signals, reduce cooldown ◈ Key Features ✓ Non-repainting: all signals on confirmed bar close ✓ Regime-adaptive: multiplier adjusts to trending, ranging, and volatile conditions automatically ✓ AI signal scoring: 5-factor quality engine, 0-100 per flip ✓ Neon glow band: color shifts with regime state, visible at a glance ✓ Regime background: subtle tint shows volatile and ranging periods on the chart ✓ ADX integration: trend strength directly influences regime detection and scoring ✓ 7 alert conditions: bull/bear signals, AI-confirmed signals, trend flips, regime changes ✓ Clean dashboard: trend, regime, multiplier, ADX, and signal score in one panel ✓ 100% original code: not derived from any existing script ◈ What Makes This Different Standard SuperTrend uses a fixed multiplier. It works until the market changes character, then gives false flips until you manually adjust. This version detects the change and adjusts for you. The scoring tells you not just that a flip happened, but whether it is likely to be meaningful. A flip during a trending regime with high volume and strong displacement scores 85+. The same flip during a ranging regime with weak volume might score 45. Both are flips, but only one is worth trading. ◈ Disclaimer No indicator predicts the future. Regime detection is probabilistic, not certain. Use proper risk management and combine with your own analysis. Past performance does not guarantee future results. Happy trading.
Indicatore Pine Script®
di DefinedEdge
3
Flow Divergence Column (Dominance vs Pressure) 🔥 Flow Divergence Column (Dominance vs Pressure) This is not another oscillator. This is a flow diagnostic tool built to show you when the market is aligned… and when it’s about to shift. It measures two critical forces inside every candle: 1. Dominance – Who is actually controlling the move? 2. Pressure – Who is pushing right now? When those two agree, trends expand. When they disagree, structure weakens. This indicator isolates that relationship and paints it clearly. ⸻ 🧠 High-Level Quant Explanation Markets move because of participation imbalance. Every candle contains: • Close location within the range (who finished stronger) • Volume participation (how committed they were) This tool converts those into: 1️⃣ Dominance (±100 Scale) A normalized measurement of directional control. • Above zero → buyers control. • Below zero → sellers control. • The farther from zero → the stronger the control. 2️⃣ Pressure (0–100 internal) A strength measurement of current push. • Buy pressure rising = active demand. • Sell pressure rising = active supply. Then it compares the two. That comparison is the edge. ⸻ 🎯 The Logic That Matters 🟢 Green Columns – Flow Aligned Bullish • Dominance > 0 • Buy Pressure ≥ Sell Pressure Buyers control AND they’re pushing. This is expansion mode. ⸻ 🔴 Red Columns – Flow Aligned Bearish • Dominance < 0 • Sell Pressure ≥ Buy Pressure Sellers control AND they’re pressing. Trend continuation mode. ⸻ 🟠 Orange Columns – Divergence (Warning Zone) This is where professionals pay attention. Bearish Divergence • Dominance > 0 (buyers in control) • BUT Sell Pressure > Buy Pressure Translation: Buyers still control structure… But sellers are quietly pushing. This is early warning for: • Pullback • Liquidity sweep • Possible reversal ⸻ Bullish Divergence • Dominance < 0 (sellers in control) • BUT Buy Pressure > Sell Pressure Translation: Sellers control structure… But buyers are stepping in. That’s when bottoms start forming. ⸻ 📊 Why This Works Most traders only look at momentum. This measures: • Structural control (Dominance) • Active aggression (Pressure) When they align → continuation. When they conflict → transition. Markets transition before they reverse. This tool shows that transition. ⸻ 🧠 How To Trade It This is not a standalone entry tool. This is a context engine. Use it for: • Confirming breakouts • Avoiding late entries • Spotting pullbacks early • Timing reversals • Identifying trapped traders If you see: • Orange after a strong trend → prepare. • Green after orange → continuation likely. • Orange at highs/lows → liquidity shift incoming. ⸻ 🏦 Institutional Perspective Markets move in phases: 1. Accumulation 2. Expansion 3. Distribution 4. Reversal Divergence appears between phases. This tool highlights those phase transitions using flow mechanics, not lagging indicators. ⸻ 🗣 Chart Master Mike Break Down Plain and Simple Real Talk Let me make it plain. If the market says it’s bullish… But sellers are quietly pushing… That’s tension. And tension always breaks. Green means strength. Red means control. Orange means pressure building. This tool tells you when the market is smiling… And when it’s gritting its teeth. Trade with the flow. Respect the warning. Exploit the transition. ⸻ This is not noise. This is structure meeting aggression. And that’s where the money lives.
Indicatore Pine Script®
di mikechillz
8 EMA. 21 EMA. VWAP This trio is popular for momentum, scalping, and trend-following on 1m–15m charts (stocks, futures, indices). 1. Trend & Bias Filter • Overall bullish when: Price > VWAP and 8 EMA > 21 EMA • Overall bearish when: Price < VWAP and 8 EMA < 21 EMA VWAP adds volume context — many ignore EMA signals against the VWAP side. 2. Crossover Signals (Primary Entries) • Bullish crossover: 8 EMA crosses above 21 EMA → potential long (especially if price is already above VWAP) • Bearish crossover: 8 EMA crosses below 21 EMA → potential short (especially if price is below VWAP) VWAP confirmation reduces whipsaws: only take longs above VWAP, shorts below it. 3. Pullback / Retest Entries (Higher Probability) • In an uptrend (price > VWAP, 8 > 21): Wait for dips to the 8 EMA (or sometimes 21 EMA) → buy the bounce. • In a downtrend: Wait for rallies to the 8 EMA → short the rejection. VWAP often acts as a magnet or pivot — price gravitating toward it can signal mean-reversion trades.
Indicatore Pine Script®
di Cag100
1
Trend Harmony🚀 Trend Harmony: Multi-Timeframe Momentum & Trend Dashboard Trend Harmony is a sophisticated multi-timeframe (MTF) analysis tool designed to help traders identify high-probability setups by spotting "Market Harmony." Instead of flipping through charts, this indicator synthesizes RSI momentum and EMA trend structures from four different time horizons into a single, intuitive dashboard. 🔍 How It Works The core philosophy of this indicator is that the most powerful moves happen when short-term momentum aligns with long-term trend structure. The script tracks four user-defined timeframes simultaneously. 1. The Trend Scoring Engine The indicator evaluates the relationship between a Fast EMA (default 20) and a Slow EMA (default 50) across all active timeframes. Bullish Alignment: Fast EMA > Slow EMA. Bearish Alignment: Fast EMA < Slow EMA. 2. The Harmony Summary At the bottom of the dashboard, the "Summary" status calculates the total "Harmony" of the market: 🚀 FULL BULL HARMONY: All selected timeframes are in a bullish trend. 📉 FULL BEAR HARMONY: All selected timeframes are in a bearish trend. ⚠️ CAUTION (Overbought/Oversold): Triggered when the market is in "Full Harmony" but RSI levels suggest the price is overextended (>70 or <30). This warns you not to "chase" the trade. Neutral/Mixed: Timeframes are in conflict (e.g., 15m is bullish but Daily is bearish). 🛠 Key Features Unified RSI Pane: View four RSI lines on one chart to spot divergences or "clusters" where all timeframes bottom out at once. Dynamic Table: Real-time tracking of: Price vs EMA: Instant visual (▲/▼) showing if price is above/below your key averages. Smart RSI Coloring: RSI values turn Green during "Power Zones" (0–30 or 50–70) and Red otherwise. Full Customization: Change timeframes (1m, 5m, 1H, D, etc.), EMA lengths, and RSI parameters to fit your strategy. 📈 Trading Strategy Tips Wait for the Sync: The "Full Harmony" status is your signal that the "tide" is moving in one direction. Look for long entries when the status is Green and short entries when it is Red. The Pullback Entry: When the summary says "Caution (Overbought)," wait for the RSI lines to cool down toward the 50 level before entering the trend again. RSI Clustering: When all four RSI lines converge at extreme levels (30 or 70), a massive volatility expansion is usually imminent.
Indicatore Pine Script®
di ebecihalil
UIA TrendCompass V1.0UIA TrendCompass v1.0 is a market structure interpretation tool designed to visualize trend states in real time. The script identifies four structural states based on price behavior and trend continuity: • T — Trend Start • E — Trend Extension • H — Structural High / Low • X — Trend Exit / Reversal This indicator is intended for market structure analysis and educational purposes only. It does NOT provide trading signals, buy/sell recommendations, or investment advice. All labels are generated based on historical price data and do not predict future market movements. Users should combine this tool with their own analysis and risk management framework. This script is provided "as is" with no guarantee of accuracy or performance.
Indicatore Pine Script®
di UIA_Institute
Trend Break Targets [MarkitTick]Trend Break Targets Trend Break Targets is a technical analysis tool designed to assist traders in identifying trendline breakouts and projecting potential price targets based on market geometry. Unlike fully automated indicators that guess trendlines, this tool provides you with precise control by allowing you to manually Pivot Point the trendline to specific points in time, while automating the complex math of target projection and structure mapping. Theoretical Basis & Concepts This indicator is grounded in classic technical analysis principles found in foundational trading literature. It automates the following methodology: Drawing a trend line between two key points to represent dynamic support or resistance. Identifying a breakout when the price closes above or below this line, potentially signaling a change in trend. Calculating a price target by measuring the vertical distance between the breakout line and the last high/low (pivot), then projecting that same distance in the direction of the breakout. This concept is based on methods and "Measured Move" theories explained in classic books such as "Technical Analysis of Stock Trends" by Edwards & Magee, "Technical Analysis of the Financial Markets" by John Murphy, and in Thomas Bulkowski's Price Pattern Studies. How It Works Pivot Pointed Trendline Construction The script draws a trendline between two user-defined points in time (Start Date and End Date). It calculates the slope between these points and extends the line infinitely to the right, allowing you to define the exact structure (e.g., a resistance trendline on a wedge). Breakout Detection The script monitors the "Price Source" (High, Low, or Close) relative to the extended trendline. A Bullish Breakout (BC) occurs when the Close crosses above a bearish trendline. A Bearish Breakout (BC) occurs when the Close crosses below a bullish trendline. Dynamic Target Projection (The Math) Upon a confirmed breakout, the script automatically calculates three distinct targets by identifying the most significant "Swing Point" (Pivot) prior to the breakout. Distance (D): The vertical distance between the Trendline and the Pivot Price at the specific bar where the pivot occurred. Target 1 (T1): The Breakout Price +/- (Distance × 1.0). This represents a classic 1:1 measured move. Target 2 (T2): The Breakout Price +/- (Distance × 1.618). Based on the Golden Ratio extension. Target 3 (T3): The Breakout Price +/- (Distance × 2.618). Market Structure (CHOCH) The script includes an optional Change of Character (CHOCH) module. This runs independently of the trendline logic, identifying local Swing Highs and Swing Lows based on the "Swing Detection Length." It plots dashed lines and labels to visualize immediate shifts in market structure. How to Use This Tool This is an interactive tool that requires user input to define the setup. Identify a Setup: Locate a clear trend, wedge, or flag pattern on your chart. Set Pivot Points: Go to the Indicator Settings. Input the exact Start Date and End Date corresponding to the two main touches of your trendline. Monitor for Breakout: The script will extend the line. Wait for a "BC" label to appear. Trade Management: Once "BC" prints, the T1, T2, and T3 lines will instantly render. These can be used as potential take-profit zones or areas to tighten stop-losses. Settings & Configuration Indicator Settings Start/End Date: The timestamp Pivot Points for your trendline. Price Source: Determines what price (High or Low) Pivot Points the line and triggers the breakout. Pivot Left/Right: Adjusts the sensitivity for finding the "Pivot Before Break" used for target calculations. Extend Target Line: How far forward the target lines are drawn. Visual Style Colors: Fully customizable colors for the Trendline, Breakout Labels, and each Target level (T1, T2, T3). Gold Bullish Reversal This analysis dissects a confirmed bullish reversal on Gold using a custom Trend Break system. The setup identifies a transition from a bearish corrective phase to bullish momentum, validated by a structural break and a geometric target projection. Trend Identification (The Pivot Points) The descending white trendline serves as the primary dynamic resistance, defining the bearish correction. Pivot Points: The line is drawn connecting two significant swing highs, marked by Label 1 and Label 2. Logic: These points represent the "lower highs" characteristic of the previous downtrend. As long as price remained below this trajectory, the bearish bias was intact. The Trigger: Breakout & Confirmation The transition occurs at the candle marked BC (Breakout Candle). Breakout Criteria: The indicator logic dictates that a signal is only valid when the bar closes above the trendline. This filters out intraday wicks and ensures genuine buyer commitment. CHOCH Confluence: Immediately following the breakout, a CHOCH (Change of Character) label appears. This signals a shift in market structure, indicating that the internal lower-high/lower-low sequence has been violated, adding probability to the reversal. Target Projection: The Measured Move The vertical green lines (T1, T2) represent profit objectives derived from the depth of the prior move. The logic calculates the distance between the breakout line and the lowest pivot prior to the break. T1 (Standard Target): This is a 1:1 projection of the pre-breakout volatility. We see price action initially stalling near this level, confirming it as a zone of interest. T2 (Golden Ratio Extension): The second target is calculated as the initial distance multiplied by 1.618 (Fibonacci Golden Ratio). The chart shows the price rallying aggressively through T1 to tap the T2 zone, often considered an exhaustion or major take-profit level in harmonic extensions. Conclusion Gold has successfully invalidated the 4-hour bearish trendline. The confluence of a confirmed close above resistance (BC) and a structural shift (CHOCH) provided a high-probability long setup. The price has now fulfilled the T2 (1.618) extension, suggesting traders should watch for consolidation or a reaction at this key Fibonacci resistance level. Bearish Trendline Breakdown The image displays a Bearish Trendline Breakdown on the Gold (XAUUSD) 4-hour chart. The indicator is actually functioning in "Low" mode here (connecting swing lows to form support), which triggers the bearish logic found in the code. Here is the step-by-step breakdown: The Setup: Pivot Points & Trendline Visual: The Blue Labels "1" and "2" connected by a white diagonal line. Code Logic: These are the user-defined start and end points. Pivot Point 1 (startDate): The starting pivot of the trendline. Pivot Point 2 (endDate): The ending pivot. Trendline: The code draws a line between these two points and extends it to the right (extend.right). In this specific image, the line acts as a Support Trendline. The Trigger: Break Candle (BC) Visual: The Red Label "BC" appearing just below the white trendline. Code Logic: This is the execution signal. The code detects a "Down Break" (dnBreak) because the Price Source was likely set to "Low" and the candle's Close was lower than the Trendline Price at that specific bar (close < currLinePrice). This confirms the support level has been breached. The Projection: Targets (T1 & T2) Visual: The Green Labels "T1" and "T2" with dotted horizontal lines projected downward. Code Logic: These are profit targets based on a "Measured Move." Pivot Calculation: The script looks back for a recent "Pivot High" (the peak before the crash) to calculate the volatility/distance (dist) between that peak and the trendline. T1 (Conservative): The price is projected downward by 1x that distance (currLinePrice - dist). T2 (Extended): The price is projected downward by 1.618x that distance (Golden Ratio extension). Market Context: CHOCH Visual: The small Red/Orange "CHOCH" labels appearing above the price action. Code Logic: This is a secondary confirmation system running independently of the trendline. It detects a Change of Character (structural shift). The red labels indicate a "Bearish CHOCH," meaning the price broke below a significant prior swing low (last_swing_low). This supports the bearish bias of the trendline break. Disclaimer This tool is for educational and technical analysis purposes only. Breakouts can fail (fake-outs), and past geometric patterns do not guarantee future price action. Always manage risk and use this tool in conjunction with other forms of analysis.
Indicatore Pine Script®
di MarkitTick
4
Trend detection zero lag Trend Detection Zero-Lag (v6) Trend Detection Zero-Lag is a high-performance trend identification indicator designed for intraday traders, scalpers, and swing traders who require fast trend recognition with minimal lag. It combines a zero-lag Hull Moving Average, slope analysis, swing structure logic, and adaptive volatility sensitivity to deliver early yet stable trend signals. This indicator is optimized for real-time decision-making, particularly in fast markets where traditional moving averages react too slowly. Core Features 🔹 Zero-Lag Trend Engine Uses a Zero-Lag Hull Moving Average (HMA) to reduce lag by approximately 40–60% versus standard moving averages. Provides earlier trend shifts while maintaining smoothness. 🔹 Multi-Factor Trend Detection Trend direction is determined using a hybrid engine: HMA slope (momentum direction) Rising / falling confirmation Swing structure detection (HH/HL vs LH/LL) ATR-adjusted dynamic sensitivity This approach allows fast flips when conditions change, without excessive noise. Adaptive Volatility Sensitivity Sensitivity dynamically adjusts based on ATR relative to price In high volatility: faster reaction In low volatility: smoother, more stable trend state This ensures the indicator adapts across: Trend days Range days Volatility expansion or contraction Trend Duration Intelligence The indicator tracks historical trend durations and maintains a rolling memory of recent bullish and bearish phases. From this, it calculates: Current trend duration Average historical duration for the active trend direction This helps traders gauge: Whether a trend is early, mature, or extended Probability of continuation vs exhaustion Strength Scoring A normalized Trend Strength Score (0–100) is calculated using: Zero-lag slope magnitude ATR normalization This provides a quick read on: Weak / choppy trends Healthy trend continuation Overextended momentum Visual Design Color-coded Zero-Lag HMA Bullish trend → user-defined bullish color Bearish trend → user-defined bearish color Designed for dark mode / neon-style charts Clean overlay with no clutter Trend Detection Zero-Lag is built for traders who need: Faster trend recognition Adaptive behavior across market regimes Structural confirmation beyond simple moving averages Clear, actionable visual signals
Indicatore Pine Script®
di MomentumCraft_
The Abramelin Protocol [MPL]"Any sufficiently advanced technology is indistinguishable from magic." — Arthur C. Clarke 🌑 SYSTEM OVERVIEW The Abramelin Protocol is not a standard technical indicator; it is a "Technomantic" trading algorithm engineered to bridge the gap between 15th-century esoteric mathematics and modern high-frequency markets. This script is the flagship implementation of the MPL (Magic Programming Language) project—an open-source experimental framework designed to compile metaphysical intent into executable Python and Pine Script algorithms. Unlike traditional indicators that rely on arbitrary constants (like the 14-period RSI or 200 SMA), this protocol calculates its parameters using "Dynamic Entity Gematria." We utilize a custom Python backend to analyze the ASCII vibrational frequencies of specific metaphysical archetypes, reducing them via Tesla's 3-6-9 harmonic principles to derive market-responsive periods. 🧬 WHAT IS ? MPL (Magic Programming Language) is a domain-specific language and research initiative created to explore Technomancy—the art of treating code as a spellbook and the market as a chaotic entity to be tamed. By integrating the logic of ancient Grimoires (such as The Book of Abramelin) with modern Data Science, MPL aims to discover hidden correlations in price action that standard tools overlook. 🔗 CONNECT WITH THE PROJECT: If you are a developer, a trader, or a seeker of hidden knowledge, examine the source code and join the order: • 📂 Official Project Site: hakanovski.github.io • 🐍 MPL Source Code (GitHub): github.com • 👨‍💻 Developer Profile (LinkedIn): www.linkedin.com 🔢 THE ALGORITHM: 452 - 204 - 50 The inputs for this script are mathematically derived signatures of the intelligence governing the system: 1. THE PAIMON TREND (Gravity) • Origin: Derived from the ASCII summation of the archetype PAIMON (King of Secret Knowledge). • Function: This 452-period Baseline acts as the market's "Event Horizon." It represents the deep, structural direction of the asset. • Price > Line: Bullish Domain. • Price < Line: Bearish Void. 2. THE ASTAROTH SIGNAL (Trigger) • Origin: Derived from the ASCII summation of ASTAROTH (Knower of Past & Future), reduced by Tesla’s 3rd Harmonic. • Function: This is the active trigger line. It replaces standard moving averages with a precise, gematria-aligned trajectory. 3. THE VOLATILITY MATRIX (Scalp) • Origin: Based on the 9th Harmonic reduction. • Function: Creates a "Cloud" around the signal line to visualize market noise. 🛡️ THE MILON GATE (Matrix Filter) Unique to this script is the "MILON Gate" toggle found in the settings. • ☑️ Active (Default): The algorithm applies the logic of the MILON Magic Square. Signals are ONLY generated if Volume and Volatility align with the geometric structure of the move. This filters out ~80% of false signals (noise). • ⬜ Inactive: The algorithm operates in "Raw Mode," showing every mathematical crossover without the volume filter. ⚠️ OPERATIONAL USAGE • Timeframe: Optimized for 4H (The Builder) and Daily (The Architect) charts. • Strategy: Use the Black/Grey Line (452) as your directional bias. Take entries only when the "EXECUTE" (Long) or "PURGE" (Short) sigils appear. Use this tool wisely. Risk responsibly. Let the harmonics guide your entries. — Hakan Yorganci Technomancer & Full Stack Developer
Indicatore Pine Script®
di hknyrgnc
Trend Vector Pro v2.0Trend Vector Pro v2.0 👨‍💻 Developed by: Mohammed Bedaiwi 💡 Strategy Overview & Coherence Trend Vector Pro (TVPro) is a momentum-based trend & reversal strategy that uses a custom smoothed oscillator, an optional ADX filter, and classic Pivot Points to create a single, coherent trading framework. Instead of stacking random indicators, TVPro is built around these integrated components: A custom momentum engine (signal generation) An optional ADX filter (trend quality control) Daily Pivot Points (context, targets & S/R) Swing-based “Golden Bar” trailing stops (trade management) Optional extended bar detection (overextension alerts) All parts are designed to work together and are documented below to address originality & usefulness requirements. 🔍 Core Components & Justification 1. Custom Momentum Engine (Main Signal Source) TVPro’s engine is a custom oscillator derived from the bar midpoint ( hl2 ), similar in spirit to the Awesome Oscillator but adapted and fully integrated into the strategy. It measures velocity and acceleration of price, letting the script distinguish between strong impulses, weakening trends, and pure noise. 2. ADX Filter (Trend Strength Validation – Optional) Uses Average Directional Index (ADX) as a gatekeeper. Why this matters: This prevents the strategy from firing signals in choppy, non-trending environments (when ADX is below the threshold) and keeps trades focused on periods of clear directional strength. 3. Classic Pivot Points (Context & Targets) Calculates Daily Pivot Points ( PP, R1-R3, S1-S3 ) via request.security() using prior session data. Why this matters: Momentum gives the signal, ADX validates the environment, and Pivots add external structure for risk and target planning. This is a designed interaction, not a random mashup. 🧭 Trend State Logic (5-State Bar Coloring) The strategy uses the momentum's value + slope to define five states, turning the chart into a visual momentum map: 🟢 STRONG BULL (Bright Green): Momentum accelerating UP. → Strong upside impulse. 🌲 WEAK BULL (Dark Green): Momentum decelerating DOWN (while positive). → Pullback/pause zone. 🔴 STRONG BEAR (Bright Red): Momentum accelerating DOWN. → Strong downside impulse. 🍷 WEAK BEAR (Dark Red): Momentum decelerating UP (while negative). → Rally/short-covering zone. 🔵 NEUTRAL / CHOP (Cyan): Momentum is near zero (based on noise threshold). → Consolidation / low volatility. 🎯 Signal Logic Modes TVPro provides two selectable entry styles, controlled by input: Reversals Only (Cleaner Mode – Default): Targets trend flips. Entry triggers when the current state is Bullish (or Bearish) and the previous state was not. This reduces noise and over-trading. All Strong Pulses (Aggressive Mode): Targets acceleration phases. Entry triggers when the bar turns to STRONG BULL or STRONG BEAR after any other state. This mode produces more trades. 📌 Risk Management Tools 🟡 Golden Bars – Trailing Stops: Yellow “Trail” Arrows mark confirmed Swing Highs/Lows. These are used as logical trailing stop levels based on market structure. Extended Bars: Detects when price closes outside a 2-standard-deviation channel, flagging overextension where a pullback is more likely. Pivot Points: Used as external targets for Take Profit and structural stop placement. ⚙️ Strategy Defaults (Crucial for Publication Compliance) To keep backtest results realistic and in line with House Rules, TVPro is published with the following fixed default settings: Order Size: 5% of equity per trade ( default_qty_value = 5 ) Commission: 0.04% per order ( commission_value = 0.04 ) Slippage: 2 ticks ( slippage = 2 ) Initial Capital: 10,000 📘 How to Trade with Trend Vector Pro Entry: Take Long when a Long signal appears and confirm the bar is Green (Bull state). Short for Red (Bear state). Stop Loss: Place the initial SL near the latest swing High/Low, or near a relevant Pivot level. Trade Management: Follow Golden (Trail) Arrows to trail your stop behind structure. Exits: Exit when: the trailing stop is hit, Price reaches a major Pivot level, or an opposite signal prints. 🛑 Disclaimer This script is for educational purposes only and does not constitute financial advice. Past performance does not guarantee future results. Always forward-test and use proper risk management before applying any strategy to live trading.
Strategia Pine Script®
di mbedaiwi2
Kinetic EMA & Volume with State EngineKinetic EMA & Volume with State Engine (EMVOL) 1. Introduction & Concept The EMVOL indicator converts a dense family of EMA signals and volume flows into a compact “state engine”. Instead of looking at individual EMA lines or simple crossovers, the script treats each EMA as part of a kinetic vector field and classifies the market into interpretable states: - Trend direction and strength (from a grid of prime‑period EMAs). - Volume regime (expansion, contraction, climax, dry‑up). - Order‑flow bias via delta (buy versus sell volume). - A combined scenario label that summarises how these three layers interact. The goal is educational: to help traders see that moving averages and volume become more meaningful when observed as a structure, not as isolated lines. EMVOL is therefore designed as a real‑time teaching tool, not as an automatic signal generator. 2. Volume Settings Group: “Volume Settings” A. Calculation Method - Geometry (Source File) – Default mode. Buy and sell volume are estimated from each candle’s geometry: the close is compared to the high/low range and the bar’s total volume is split proportionally between buyers and sellers. This approximation works on any TradingView plan and does not require lower‑timeframe data. - Intrabar (Precise) – Reconstructs buy/sell volume using a lower timeframe via requestUpAndDownVolume(). The script asks TradingView for historical intrabar data (e.g., 15‑second bars) and builds buy/sell volume and delta from that stream. This mode can produce a more accurate view of order flow, but coverage is limited by your account’s history limits and the symbol’s available lower‑timeframe data. B. Intrabar Resolution (If Precise) - Intrabar Resolution (If Precise) – Selected only when the calculation method is “Intrabar (Precise)”. It defines which lower timeframe (for example 15S, 30S, 1m) is used to compute up/down volume. Smaller intrabar timeframes may give smoother and more granular deltas, but require more historical depth from the platform. When “Intrabar (Precise)” is active, the dashboard’s extended section shows the resolution and the number of bars for which precise volume has been successfully retrieved, in the format: - Mode: Intrabar (15S) – where N is the count of bars with valid high‑resolution volume data. In Geometry mode this counter simply reflects the processed bars in the current session. 3. Kinetic Vector Settings Group: “Kinetic Vector” A. Vector Window - Vector Window – Controls the temporal smoothing applied to the aggregated vectors (trend, volume, delta, etc.). Internally, each bar’s vector value is averaged with a simple moving window of this length. - Shorter windows make the state engine more reactive and sensitive to local swings. - Longer windows make the states more stable and better suited to higher‑timeframe structure. B. Max Prime Period - Max Prime Period – Sets the largest prime number used in the EMA grid. The engine builds a family of EMAs on prime lengths (2, 3, 5, 7, …) up to this limit and converts their slopes into angles. - A higher limit increases the number of long‑horizon EMAs in the grid and makes the vectors sensitive to broader structure. - A lower limit focuses the analysis on short- and medium‑term behaviour. C. Price Source - Price Source – The price series from which the kinetic EMA grid is built (e.g., Close, HLC3, OHLC4). Changing the source modifies the context that the state engine is reading but does not change the core logic. 4. State Engine Settings Group: “State Engine Settings” These inputs define how the continuous vectors are translated into discrete states. A. Trend Thresholds - Strong Trend Threshold – Value above which the trend vector is treated as “extreme bullish” and below which it is “extreme bearish”. - Weak Trend Threshold – Inner boundary between neutral and directional conditions. Roughly: - |trend| < weak → Neutral trend state. - weak < |trend| ≤ strong → Bullish/Bearish. - |trend| > strong → Extreme Bullish/Extreme Bearish. B. Volume Thresholds - Volume Climax Threshold – Upper bound at which volume is considered “climax” (unusually expanded participation). - Volume Expansion Threshold – Boundary for normal expansion versus contraction. Conceptually: - Volume above “expansion” indicates increasing activity. - Volume near or above “climax” marks extreme participation. - Negative values below the symmetric thresholds map to contraction and extreme dry‑up (liquidity vacuum) states. C. Delta Thresholds - Strong Delta Threshold – Cut‑off for extreme buying or selling dominance in delta. - Weak Delta Threshold – Threshold for mild buy/sell bias versus neutral order flow. Combined with the sign of the delta vector, these thresholds classify order flow as: - Extreme Buy, Buy‑Dominant, Neutral, Sell‑Dominant, Extreme Sell. D. State Hysteresis Bars - State Hysteresis Bars – Minimum number of bars for which a new state must persist before the engine commits to the change. This prevents the dashboard from flickering during fast spikes and emphasises persistent market behaviour. - Smaller values switch states quickly; larger values demand more confirmation. 5. Visual Interface Group: “Visual Interface” A. Ribbon Base Color - Ribbon Base Color – Base hue for the multi‑layer EMA ribbon drawn around price. The script plots a dense grid of hidden EMAs and fills the gaps between them to form a semi‑transparent band. Narrow, overlapping bands hint at compression; wider separation hints at dispersion across EMA horizons. B. Show Dashboard - Show Dashboard – Toggles the on‑chart table which summarises the current state engine output. Disable this if you only want to keep the EMA ribbon and volume‑based structure on the price chart. C. Color Theme - Color Theme – Switch between a dark and light style for the dashboard background and text colours so that the table matches your chart theme. D. Table Position - Table Position – Places the dashboard at any corner or edge of the chart (Top / Middle / Bottom × Left / Centre / Right). E. Table Size - Table Size – Changes the dashboard’s text size (Tiny, Small, Normal, Large). Use a larger size on high‑resolution screens or when streaming. F. Show Extended Info - Show Extended Info – Adds diagnostic rows under the main state summary: - Mode / Primes / Vector – Shows the current calculation mode (Geometry / Intrabar), the selected intrabar resolution and coverage in bars ( ), how many prime periods are active, and the vector window. - Values – Displays the current aggregated vectors: - P: price vector - V: volume vector - B: buy‑volume vector - S: sell‑volume vector - D: delta vector Values are bounded between ‑1 and +1. - Volume Stats – Prints the last bar’s raw buy volume, sell volume and delta as formatted numbers. - Footer – A final row with the symbol and current time: #SYMBOL | HH:MM. These extended rows are meant for inspecting how the engine is behaving under the hood while you scroll the chart and compare different assets or timeframes. 6. Language Settings Group: “Language Settings” - Select Language – Switches the entire dashboard between English and Turkish. The underlying calculations and scenario logic are identical; only the labels, titles and comments in the table are translated. 7. Dashboard Structure & Reading Guide The table summarises the current situation in a few rows: 1. System Header – Shows the script name and the active calculation method (“Geometry” or “Intrabar”). 2. Scenario Title – High‑level description of the current combined scenario (e.g., “Trending Buy Confirmed”, “Sideways Balanced”, “Bull Trap”, “Blow‑Off Top”). The background colour is derived from the scenario family (trending, compression, exhaustion, anomaly, etc.). 3. Bias / Trend Line – States the dominant trend bias derived from the trend vector (Extreme Bullish, Bullish, Neutral, Bearish, Extreme Bearish). 4. Signal / Consideration Line – A short sentence giving qualitative guidance about the current state (for example: continuation risk, exhaustion risk, trap‑like behaviour, or compression). This is deliberately phrased as a consideration, not as a direct trading signal. 5. Trend / Volume / Delta Rows – Three separate rows explain, in plain language, how the trend, volume regime and delta are classified at this bar. 6. Extended Info (optional) – Mode / primes / vector settings, current vector values, and last‑bar volume statistics, as described above. Together, these rows are meant to be read as a narrative of what price, volume and order‑flow are doing, not as mechanical instructions. 8. State Taxonomy The state engine organizes market behaviour in three stages. 8.1 Trend States (from the Price Vector) - Extreme Bullish Trend – The prime‑grid price vector is strongly upward; most EMAs are aligned to the upside. - Bullish Trend – Upward bias is present, but less extreme. - Neutral Trend – EMAs are mixed or flat; price is effectively sideways relative to the grid. - Bearish Trend – Downward bias, with the EMA grid sloping down. - Extreme Bearish Trend – Strong downside alignment across the grid. 8.2 Volume Regime States (from the Volume Vector) - Volume Climax (Buy‑Side) – Strong positive volume vector; participation is unusually high in the current direction. - Volume Expansion – Activity above normal but below the climax threshold. - Neutral Volume – No major expansion or contraction versus recent history. - Volume Contraction – Activity is drying up compared with the past. - Extreme Dry‑Up / Liquidity Vacuum – Very low participation; the market is thin and prone to slippage. 8.3 Delta Behaviour States (from the Delta Vector) - Extreme Buy Delta – Buying pressure dominates strongly. - Buy‑Dominant Delta – Buy volume exceeds sell volume, but not at an extreme. - Neutral Delta – Buy and sell flows are roughly balanced. - Sell‑Dominant Delta – Selling pressure dominates. - Extreme Sell Delta – Aggressive, one‑sided selling. 8.4 Combined Scenario State s EMVOL uses the three base states above to generate a single scenario label. These scenarios are designed to be read as context, not as entry or exit signals. Trending Scenarios 1. Trending Buy Confirmed - Bullish or extreme bullish trend, supported by expanding or climax volume and buy‑side delta. - Educational idea: a healthy uptrend where both participation and order flow agree with the direction. 2. Trending Buy – Weak Volume - Bullish trend, but volume is neutral, contracting or in dry‑up while delta is still buy‑side. - Educational idea: price is advancing, yet participation is thinning; trend continuation becomes more fragile. 3. Trending Sell Confirmed - Bearish or extreme bearish trend, with expanding or climax volume and sell‑side delta. - Educational idea: strong downtrend with both volume and order‑flow confirmation. 4. Trending Sell – Weak Volume - Bearish trend, but volume is neutral, contracting or very low while delta remains sell‑side. - Educational idea: downside continues but with limited participation; vulnerable to short‑covering. Sideways / Range Scenarios 5. Sideways Balanced - Neutral trend, neutral delta, neutral volume. - Classic range environment; low directional edge, suitable for observation and context rather than trend trading. 6. Sideways with Buy Pressure - Neutral trend, but buy‑side delta is dominant or extreme. - Range with latent accumulation: price may still appear sideways, but buyers are quietly more active. 7. Sideways with Sell Pressure - Neutral trend with dominant or extreme sell‑side delta. - Distribution‑like environment where price chops while sellers are gradually more aggressive. Exhaustion & Volume Extremes 8. Exhaustion – Buy Risk - Extreme bullish trend, volume climax and strong buy‑side delta. - Educational idea: very strong up‑move where both participation and delta are already stretched; risk of exhaustion or blow‑off. 9. Exhaustion – Sell Risk - Extreme bearish trend, volume dry‑up and strong sell‑side delta. - Suggests one‑sided selling into increasingly thin liquidity. 10. Volume Climax (Buy) - Neutral trend, neutral delta, but volume at climax levels. - Often associated with a “big event” bar where participation spikes without a clear directional commitment. 11. Volume Climax (Sell / Dry‑Up) - Neutral trend and neutral delta, while the volume vector indicates an extreme dry‑up. - Highlights a stand‑still episode: very limited interest from both sides, increasing the sensitivity to future impulses. Divergences 12. Divergence – Bullish Context - Bullish or extreme bullish trend, but delta has faded back to neutral. - Price trend continues while order‑flow conviction softens; can precede pauses or complex corrections. 13. Divergence – Bearish Context - Bearish or extreme bearish trend with a neutral delta. - Downtrend persists, but selling pressure no longer dominates as clearly. Consolidation & Compression 14. Consolidation - Default state when no specific pattern dominates and the market is broadly balanced. - Educational use: treat this as a “no strong edge” label; focus on structure rather than direction. 15. Breakout Imminent - Neutral trend with contracting volume. - Compression phase where energy is building up; often precedes transitions into trending or shock scenarios. Traps & Hidden Divergences 16. Bull Trap - Bullish trend, with neutral or contracting volume and sell‑side delta. - Price appears strong, but order‑flow shifts against it; often seen near fake breakouts or failing rallies. 17. Bear Trap - Bearish trend, neutral or contracting volume, but buy‑side delta. - Downtrend “looks” intact, while buyers become more aggressive underneath the surface. 18. Hidden Bullish Divergence - Bullish trend, contracting volume, but strong buy‑side delta. - Educational idea: price dips or slows while aggressive buyers step in, often inside an ongoing uptrend. 19. Hidden Bearish Divergence - Bearish trend, volume expansion and strong sell‑side delta. - Reinforced downside pressure even if price is temporarily retracing. Reversal & Transition Patterns 20. Reversal to Bearish - Neutral trend, volume climax and strong sell‑side delta. - Suggests that heavy selling appears at the top of a move, turning a previously neutral or rising context into potential downside. 21. Reversal to Bullish - Neutral trend, extreme volume dry‑up and strong buy‑side delta. - Often associated with selling exhaustion where buyers start to take control. 22. Indecision Spike - Neutral trend with extreme volume (climax or dry‑up) but neutral delta. - Crowd participation changes sharply while order‑flow remains undecided; treat as an informational spike rather than a direction. Extended Compression & Acceleration 23. Coiling Phase - Neutral trend, contracting volume, and delta that is neutral or only mildly one‑sided. - Extended compression where price, volume and delta all contract into a tightly coiled range, often preceding a strong move. 24. Bullish Acceleration - Bullish trend with volume expansion and strong buy‑side delta. - Uptrend not only continues but gains kinetic strength; educationally, this illustrates how trend, volume and delta align in the strongest phases of a move. 25. Bearish Acceleration - Bearish trend with volume expansion and strong sell‑side delta. - Mirror image of Bullish Acceleration on the downside. Trend Exhaustion & Climax Reversal 26. Bull Exhaustion - Bullish or extreme bullish trend, with contraction or dry‑up in volume and buy‑side or neutral delta. - The move has already travelled far; participation fades while price is still elevated. 27. Bear Exhaustion - Bearish or extreme bearish trend, with volume climax or contraction and sell‑side or neutral delta. - Down‑move may be approaching a point where additional selling pressure has diminishing impact. 28. Blow‑Off Top - Extreme bullish trend, volume climax and extreme buy delta all at once. - Classic blow‑off behaviour: price, volume and order‑flow are simultaneously stretched in the same direction. 29. Selling Climax Reversal - Extreme bearish trend with extreme volume dry‑up and extreme sell‑side delta. - Marks a very aggressive capitulation phase that can precede major rebounds. Advanced VSA / Anomaly Scenarios 30. Absorption - Typically neutral trend with expanding or climax volume and extreme delta (either buy or sell). - Educational focus: large participants are aggressively absorbing liquidity from the opposite side, while price remains relatively contained. 31. Distribution - Scenario where volume remains elevated while directional conviction weakens and the trend slows. - Represents potential “selling into strength” or “buying into weakness”, depending on the active side. 32. Liquidity Vacuum - Combination of thin liquidity (extreme dry‑up) with a directional trend or strong delta. - Highlights environments where even small orders can move price disproportionately. 33. Anomaly / Shock Event - Triggered when the vector z‑scores detect rare combinations of price, volume and delta behaviour that deviate from their own historical distribution. - Intended as a warning label for unusual events rather than a specific tradeable pattern. 9. Educational Usage Notes - EMVOL does not produce mechanical “buy” or “sell” commands. Instead, it classes each bar into an interpretable state so that traders can study how trends, volume and order‑flow interact over time. - A common exercise is to overlay your usual EMA crossovers, support/resistance or price patterns and observe which EMVOL scenarios appear around entries, exits, traps and climaxes. - Because the vectors are normalized (bounded between ‑1 and +1) and then discretized, the same conceptual states can be compared across different symbols and timeframes. 10. Disclaimer & Educational Purpose This indicator is provided strictly as an educational and analytical tool. Its purpose is to help visualise how price, volume and order‑flow interact; it is not designed to function as a stand‑alone trading system. Please note: 1. No Automated Strategy – The script does not implement a complete trading strategy. Scenario labels and dashboard messages are descriptive and should not be followed as unconditional entry or exit signals. 2. No Financial Advice – All information produced by this indicator is general market analysis. It must not be interpreted as investment, financial or trading advice, or as a recommendation to buy or sell any instrument. 3. Risk Warning – Trading and investing involve substantial risk, including the risk of loss. Always perform your own analysis, use appropriate position sizing and risk management, and consult a qualified professional if needed. You are solely responsible for any decisions made using this tool. 4. Data Precision & Platform Limits – The “Intrabar (Precise)” mode depends on the availability of high‑resolution historical data at the chosen intrabar timeframe. If your TradingView plan or the symbol’s history does not provide sufficient depth, this mode may only partially cover the visible chart. In such cases, consider switching to “Geometry (Source File)” for a fully populated view.
Indicatore Pine Script®
di ata_sabanci
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