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Trend TableVersion 2 added Forecasted trend based on liquidity zones that attract price SMC Liquidity Forecast Table — Overview Purpose: This table provides a quick snapshot of Smart Money Concept (SMC) liquidity conditions and trend direction across multiple timeframes that you choose (for example, 4H, 1H, and 15m). It helps traders quickly assess where liquidity may be resting and whether the current trend aligns with that. How it works: For each selected timeframe, the script: Determines trend direction using a configurable EMA. Detects liquidity features such as equal highs/lows, fair value gaps (FVG), and liquidity sweeps. Generates a forecast: "Likely Bullish" means liquidity is likely resting above. "Likely Bearish" means liquidity is likely resting below. "Likely Up" or "Likely Down" indicates a sweep event just occurred. "Range" means no clear liquidity bias. Table structure: TF Trend Forecast Example: 4H Uptrend Likely Bullish Example: 1H Downtrend Likely Bearish Example: 15m Uptrend Range Trend cells are color-coded: Green: Uptrend or bullish bias Red: Downtrend or bearish bias Gray: Neutral or ranging Key benefit: This makes it easy to see multiple timeframe conditions side-by-side, aligning liquidity expectations with the overall trend. It supports better decision-making in line with SMC and liquidity principles. Customizable: Fully adjustable timeframes (can use any combination, like daily, 4H, 1H, 15m, etc.) User-defined swing length, EMA period, and thresholds.
Pine Script® indicator
by landengc05
1
BTC Dominance Zones (For Altseason)Overview The "BTC Dominance Zones (For Altseason)" indicator is a visual tool designed to help traders navigate the different phases of the altcoin market cycle by tracking Bitcoin Dominance (BTC.D). It provides clear, color-coded zones directly on the BTC.D chart, offering an intuitive roadmap for the progression of alt season. Purpose & Problem Solved Many traders often miss altcoin rotations or get caught at market tops due to emotional decision-making or a lack of a clear framework. This indicator aims to solve that problem by providing an objective, historically informed guide based on Bitcoin Dominance, helping users to prepare before the market makes its decisive moves. It distils complex market dynamics into easily digestible sections. Key Features & Components Color-Coded Horizontal Zones: The indicator draws fixed horizontal bands on the BTC.D chart, each representing a distinct phase of the altcoin market cycle. Descriptive Labels: Each zone is clearly labeled with its strategic meaning (e.g., "Alts are dead," "Danger Zone") and the corresponding BTC.D percentage range, positioned to the right of the price action for clarity. Consistent Aesthetics: All text within the labels is rendered in white for optimal visibility across the colored zones. Symbol Restriction: The indicator includes an automatic check to ensure it only draws its visuals when applied specifically to the CRYPTOCAP:BTC.D chart. If applied to another chart, it displays a helpful message and remains invisible to prevent confusion. Methodology & Interpretation The indicator's methodology is based on the historical behavior of Bitcoin Dominance during various market cycles, particularly the 2021 bull run. Each zone provides a specific interpretation for altcoin strategy: Grey Zone (BTC.D 60-70%+): "Alts Are Dead" Interpretation: When Bitcoin Dominance is in this grey zone (typically above 60%), Bitcoin is king, and capital remains concentrated in BTC. This indicates that alt season is largely inactive or "dead". This phase is generally not conducive for aggressive altcoin trading. Blue Zone (BTC.D 55-60%): "Alt Season Loading" Interpretation: As BTC.D drops into this blue zone (below 60%), it signals that the market is "heating up" for altcoins. This is the time to start planning and executing your initial positions in high-conviction large-cap and strong narrative plays, as capital begins to look for more risk. Green Zone (BTC.D 50-55%): "Alt Season Underway" Interpretation: Entering this green zone (below 55%) signifies that "real momentum" is building, and alt season is genuinely "underway". Money is actively flowing from Ethereum into large and mid-cap altcoins. If you've positioned correctly, your portfolio should be showing strong gains in this phase. Orange Zone (BTC.D 45-50%): "Alt Season Ending" Interpretation: As BTC.D dips into this orange zone (below 50%), it suggests that altcoin dominance is reaching its peak, indicating the "ending" phase of alt season. While euphoria might be high, this is a critical warning zone to prepare for profit-taking, as it's a phase of "peak risk". Red Zone (BTC.D Below 45%): "Danger Zone - Alts Overheated" Interpretation: This red zone (below 45%) is the most critical "DANGER ZONE". It historically marks the point of maximum froth and risk, where altcoins are overheated. This is the decisive signal to aggressively take profits, de-risk, and exit positions to preserve your capital before a potential sharp correction. Historically, dominance has gone as low as 39-40% in this phase. How to Use Open TradingView and search for the BTC.D symbol to load the Bitcoin Dominance chart and view the indicator. Double click the indicator to access settings. Inputs/Settings The indicator's zone boundaries are set to historically relevant levels for consistency with the Alt Season Blueprint strategy. However, the colors of each zone are fully customizable through the indicator's settings, allowing users to personalize the visual appearance to their preference. You can access these color options in the indicator's "Settings" menu once it's added to your chart. Disclaimer This indicator is provided for informational and educational purposes only. It is not financial advice. Trading cryptocurrencies involves substantial risk of loss and is not suitable for every investor. Past performance is not indicative of future results. Always conduct your own research and consult with a qualified financial professional before making any investment decisions. About the Author This indicator was developed by Nick from Lab of Crypto. Release Notes v1.0 (June 2025): Initial release featuring color-coded horizontal BTC.D zones with descriptive labels, based on Alt Season Blueprint strategy. Includes symbol restriction for correct chart application and consistent white text.
Pine Script® indicator
by LabOfCrypto
OBV Strength Relative to Volume (Lakhs View)OBV Strength Relative to Volume (Lakhs View) Description: to provide a compact yet powerful insight into volume momentum and price conviction. It's tailored for traders and analysts in markets like India, where high-volume stocks are often better interpreted in lakhs. 💡 Key Features: OBV Calculation: Cumulative OBV is computed based on price movement direction and volume contribution. OBV Strength (%): Measures the percentage strength of OBV relative to total volume over a user-defined period. It reflects how strongly volume is contributing to price movements. Lakhs View: Both OBV and Volume are scaled to lakhs for cleaner readability and practical analysis in high-volume securities. Historical Table Display: Displays date-wise OBV, Volume, and OBV Strength for the last N candles (customizable). Automatically updates every 5 bars or on each bar for real-time analysis. Color-coded cells for quick visual recognition. ⚙️ Inputs: OBV Strength Period: Number of bars used to calculate OBV strength (default = 5). Number of Days in Table: Number of recent bars shown in the on-chart table (default = 5). 📈 Plots: OBV (Lakhs) – Aqua line. Volume (Lakhs) – Orange columns. OBV Strength (%) – Green line indicating momentum strength based on volume. 📍 Ideal Use: Use this indicator to: Spot divergences between OBV and price. Assess the strength of volume behind a trend. Track consistency and spikes in volume-backed price moves. Quickly scan recent trends with a clear numerical and visual table.
Pine Script® indicator
by raghavprakash05
牛熊周期 (Crypto Bull/Bear Cycle)Indicator: Crypto Bull/Bear Cycle Pro Max Overview This indicator is a powerful visualization tool designed to help traders understand and analyze the long-term cyclical nature of the cryptocurrency market, which is widely believed to follow a four-year pattern. It automatically colors the chart's background to provide an immediate macro perspective, distinguishing between pre-configured "Bull Market" years (green) and "Bear Market" years (red). Beyond simple coloring, this all-in-one tool includes a fully customizable countdown timer to the next cycle transition, annual separator lines, and extensive options to tailor the visuals to your personal preference. Key Features * **Automatic Cycle Coloring:** The chart background is automatically shaded green for bull years and red for bear years, giving you an instant sentiment check. * **Cycle Transition Countdown:** A non-intrusive info box displays the exact number of days remaining until the next cycle is set to begin (e.g., from a bear to a bull period). * **Annual Separator Lines:** Draws a clean vertical line at the beginning of each year, making it easy to compartmentalize and analyze yearly price action. * **Highly Customizable:** Nearly every visual element is under your control. Adjust colors, transparency, text sizes, line styles, and fine-tune the positioning of the info box to perfectly fit your chart layout. * **Future-Proof:** The cycle years are stored in an array within the code, which can be easily edited to add future years or adjust to your own cycle theory. How to Use * **Macro Perspective:** Use the green (bull) and red (bear) backgrounds to quickly assess the historical market sentiment for the period you are analyzing. * **Long-Term Planning:** Keep an eye on the countdown timer to stay aware of major potential turning points in the market, which can be crucial for long-term portfolio strategy. * **Yearly Analysis:** Utilize the vertical separator lines to easily measure and compare performance on a year-by-year basis. Settings and Customization You can access the following settings by clicking the **Gear Icon (⚙️)** next to the indicator's name on your chart. **1. Cycle Background Colors** * **Bull Market Color:** Sets the color and transparency for the background during bull years. * **Bear Market Color:** Sets the color and transparency for the background during bear years. **2. Countdown Timer** * **Show Countdown Timer:** A master switch to turn the info box on or off. * **Style (Background Color, Text Color, Text Size):** Full control over the appearance of the info box and its text. * **Position Fine-Tuning (X & Y Offset):** * **X-Axis Offset (Horizontal):** A larger number pushes the info box further to the **left** from the right edge of the chart. * **Y-Axis Offset (Vertical):** A larger number pushes the info box further **down** from the top edge of the chart. **3. Year Separator Lines** * **Show Year Separator Lines:** A switch to turn the vertical lines on or off. * **Line Style (Separator Color, Style, Width):** Customize the appearance of the annual lines, including their color, style (Solid, Dashed, Dotted), and thickness. --- **Note:** The bear years are predefined in the script's code on the line starting with `var int bear_years_array = ...`. By default, they are set to `2014, 2018, 2022, 2026,` etc. You can easily edit this line in the Pine Editor to add more years or modify the list if your cycle theory differs.
Pine Script® indicator
by NotionAI
Trend Gauge [BullByte]Trend Gauge Summary A multi-factor trend detection indicator that aggregates EMA alignment, VWMA momentum scaling, volume spikes, ATR breakout strength, higher-timeframe confirmation, ADX-based regime filtering, and RSI pivot-divergence penalty into one normalized trend score. It also provides a confidence meter, a Δ Score momentum histogram, divergence highlights, and a compact, scalable dashboard for at-a-glance status. ________________________________________ ## 1. Purpose of the Indicator Why this was built Traders often monitor several indicators in parallel - EMAs, volume signals, volatility breakouts, higher-timeframe trends, ADX readings, divergence alerts, etc., which can be cumbersome and sometimes contradictory. The “Trend Gauge” indicator was created to consolidate these complementary checks into a single, normalized score that reflects the prevailing market bias (bullish, bearish, or neutral) and its strength. By combining multiple inputs with an adaptive regime filter, scaling contributions by magnitude, and penalizing weakening signals (divergence), this tool aims to reduce noise, highlight genuine trend opportunities, and warn when momentum fades. Key Design Goals Signal Aggregation Merged trend-following signals (EMA crossover, ATR breakout, higher-timeframe confirmation) and momentum signals (VWMA thrust, volume spikes) into a unified score that reflects directional bias more holistically. Market Regime Awareness Implemented an ADX-style filter to distinguish between trending and ranging markets, reducing the influence of trend signals during sideways phases to avoid false breakouts. Magnitude-Based Scaling Replaced binary contributions with scaled inputs: VWMA thrust and ATR breakout are weighted relative to recent averages, allowing for more nuanced score adjustments based on signal strength. Momentum Divergence Penalty Integrated pivot-based RSI divergence detection to slightly reduce the overall score when early signs of momentum weakening are detected, improving risk-awareness in entries. Confidence Transparency Added a live confidence metric that shows what percentage of enabled sub-indicators currently agree with the overall bias, making the scoring system more interpretable. Momentum Acceleration Visualization Plotted the change in score (Δ Score) as a histogram bar-to-bar, highlighting whether momentum is increasing, flattening, or reversing, aiding in more timely decision-making. Compact Informational Dashboard Presented a clean, scalable dashboard that displays each component’s status, the final score, confidence %, detected regime (Trending/Ranging), and a labeled strength gauge for quick visual assessment. ________________________________________ ## 2. Why a Trader Should Use It Main benefits and use cases 1. Unified View: Rather than juggling multiple windows or panels, this indicator delivers a single score synthesizing diverse signals. 2. Regime Filtering: In ranging markets, trend signals often generate false entries. The ADX-based regime filter automatically down-weights trend-following components, helping you avoid chasing false breakouts. 3. Nuanced Momentum & Volatility: VWMA and ATR breakout contributions are normalized by recent averages, so strong moves register strongly while smaller fluctuations are de-emphasized. 4. Early Warning of Weakening: Pivot-based RSI divergence is detected and used to slightly reduce the score when price/momentum diverges, giving a cautionary signal before a full reversal. 5. Confidence Meter: See at a glance how many sub-indicators align with the aggregated bias (e.g., “80% confidence” means 4 out of 5 components agree ). This transparency avoids black-box decisions. 6. Trend Acceleration/Deceleration View: The Δ Score histogram visualizes whether the aggregated score is rising (accelerating trend) or falling (momentum fading), supplementing the main oscillator. 7. Compact Dashboard: A corner table lists each check’s status (“Bull”, “Bear”, “Flat” or “Disabled”), plus overall Score, Confidence %, Regime, Trend Strength label, and a gauge bar. Users can scale text size (Normal, Small, Tiny) without removing elements, so the full picture remains visible even in compact layouts. 8. Customizable & Transparent: All components can be enabled/disabled and parameterized (lengths, thresholds, weights). The full Pine code is open and well-commented, letting users inspect or adapt the logic. 9. Alert-ready: Built-in alert conditions fire when the score crosses weak thresholds to bullish/bearish or returns to neutral, enabling timely notifications. ________________________________________ ## 3. Component Rationale (“Why These Specific Indicators?”) Each sub-component was chosen because it adds complementary information about trend or momentum: 1. EMA Cross o Basic trend measure: compares a faster EMA vs. a slower EMA. Quickly reflects trend shifts but by itself can whipsaw in sideways markets. 2. VWMA Momentum o Volume-weighted moving average change indicates momentum with volume context. By normalizing (dividing by a recent average absolute change), we capture the strength of momentum relative to recent history. This scaling prevents tiny moves from dominating and highlights genuinely strong momentum. 3. Volume Spikes o Sudden jumps in volume combined with price movement often accompany stronger moves or reversals. A binary detection (+1 for bullish spike, -1 for bearish spike) flags high-conviction bars. 4. ATR Breakout o Detects price breaking beyond recent highs/lows by a multiple of ATR. Measures breakout strength by how far beyond the threshold price moves relative to ATR, capped to avoid extreme outliers. This gives a volatility-contextual trend signal. 5. Higher-Timeframe EMA Alignment o Confirms whether the shorter-term trend aligns with a higher timeframe trend. Uses request.security with lookahead_off to avoid future data. When multiple timeframes agree, confidence in direction increases. 6. ADX Regime Filter (Manual Calculation) o Computes directional movement (+DM/–DM), smoothes via RMA, computes DI+ and DI–, then a DX and ADX-like value. If ADX ≥ threshold, market is “Trending” and trend components carry full weight; if ADX < threshold, “Ranging” mode applies a configurable weight multiplier (e.g., 0.5) to trend-based contributions, reducing false signals in sideways conditions. Volume spikes remain binary (optional behavior; can be adjusted if desired). 7. RSI Pivot-Divergence Penalty o Uses ta.pivothigh / ta.pivotlow with a lookback to detect pivot highs/lows on price and corresponding RSI values. When price makes a higher high but RSI makes a lower high (bearish divergence), or price makes a lower low but RSI makes a higher low (bullish divergence), a divergence signal is set. Rather than flipping the trend outright, the indicator subtracts (or adds) a small penalty (configurable) from the aggregated score if it would weaken the current bias. This subtle adjustment warns of weakening momentum without overreacting to noise. 8. Confidence Meter o Counts how many enabled components currently agree in direction with the aggregated score (i.e., component sign × score sign > 0). Displays this as a percentage. A high percentage indicates strong corroboration; a low percentage warns of mixed signals. 9. Δ Score Momentum View o Plots the bar-to-bar change in the aggregated score (delta_score = score - score ) as a histogram. When positive, bars are drawn in green above zero; when negative, bars are drawn in red below zero. This reveals acceleration (rising Δ) or deceleration (falling Δ), supplementing the main oscillator. 10. Dashboard • A table in the indicator pane’s top-right with 11 rows: 1. EMA Cross status 2. VWMA Momentum status 3. Volume Spike status 4. ATR Breakout status 5. Higher-Timeframe Trend status 6. Score (numeric) 7. Confidence % 8. Regime (“Trending” or “Ranging”) 9. Trend Strength label (e.g., “Weak Bullish Trend”, “Strong Bearish Trend”) 10. Gauge bar visually representing score magnitude • All rows always present; size_opt (Normal, Small, Tiny) only changes text size via text_size, not which elements appear. This ensures full transparency. ________________________________________ ## 4. What Makes This Indicator Stand Out • Regime-Weighted Multi-Factor Score: Trend and momentum signals are adaptively weighted by market regime (trending vs. ranging) , reducing false signals. • Magnitude Scaling: VWMA and ATR breakout contributions are normalized by recent average momentum or ATR, giving finer gradation compared to simple ±1. • Integrated Divergence Penalty: Divergence directly adjusts the aggregated score rather than appearing as a separate subplot; this influences alerts and trend labeling in real time. • Confidence Meter: Shows the percentage of sub-signals in agreement, providing transparency and preventing blind trust in a single metric. • Δ Score Histogram Momentum View: A histogram highlights acceleration or deceleration of the aggregated trend score, helping detect shifts early. • Flexible Dashboard: Always-visible component statuses and summary metrics in one place; text size scaling keeps the full picture available in cramped layouts. • Lookahead-Safe HTF Confirmation: Uses lookahead_off so no future data is accessed from higher timeframes, avoiding repaint bias. • Repaint Transparency: Divergence detection uses pivot functions that inherently confirm only after lookback bars; description documents this lag so users understand how and when divergence labels appear. • Open-Source & Educational: Full, well-commented Pine v6 code is provided; users can learn from its structure: manual ADX computation, conditional plotting with series = show ? value : na, efficient use of table.new in barstate.islast, and grouped inputs with tooltips. • Compliance-Conscious: All plots have descriptive titles; inputs use clear names; no unnamed generic “Plot” entries; manual ADX uses RMA; all request.security calls use lookahead_off. Code comments mention repaint behavior and limitations. ________________________________________ ## 5. Recommended Timeframes & Tuning • Any Timeframe: The indicator works on small (e.g., 1m) to large (daily, weekly) timeframes. However: o On very low timeframes (<1m or tick charts), noise may produce frequent whipsaws. Consider increasing smoothing lengths, disabling certain components (e.g., volume spike if volume data noisy), or using a larger pivot lookback for divergence. o On higher timeframes (daily, weekly), consider longer lookbacks for ATR breakout or divergence, and set Higher-Timeframe trend appropriately (e.g., 4H HTF when on 5 Min chart). • Defaults & Experimentation: Default input values are chosen to be balanced for many liquid markets. Users should test with replay or historical analysis on their symbol/timeframe and adjust: o ADX threshold (e.g., 20–30) based on instrument volatility. o VWMA and ATR scaling lengths to match average volatility cycles. o Pivot lookback for divergence: shorter for faster markets, longer for slower ones. • Combining with Other Analysis: Use in conjunction with price action, support/resistance, candlestick patterns, order flow, or other tools as desired. The aggregated score and alerts can guide attention but should not be the sole decision-factor. ________________________________________ ## 6. How Scoring and Logic Works (Step-by-Step) 1. Compute Sub-Scores o EMA Cross: Evaluate fast EMA > slow EMA ? +1 : fast EMA < slow EMA ? -1 : 0. o VWMA Momentum: Calculate vwma = ta.vwma(close, length), then vwma_mom = vwma - vwma . Normalize: divide by recent average absolute momentum (e.g., ta.sma(abs(vwma_mom), lookback)), clip to . o Volume Spike: Compute vol_SMA = ta.sma(volume, len). If volume > vol_SMA * multiplier AND price moved up ≥ threshold%, assign +1; if moved down ≥ threshold%, assign -1; else 0. o ATR Breakout: Determine recent high/low over lookback. If close > high + ATR*mult, compute distance = close - (high + ATR*mult), normalize by ATR, cap at a configured maximum. Assign positive contribution. Similarly for bearish breakout below low. o Higher-Timeframe Trend: Use request.security(..., lookahead=barmerge.lookahead_off) to fetch HTF EMAs; assign +1 or -1 based on alignment. 2. ADX Regime Weighting o Compute manual ADX: directional movements (+DM, –DM), smoothed via RMA, DI+ and DI–, then DX and ADX via RMA. If ADX ≥ threshold, market is considered “Trending”; otherwise “Ranging.” o If trending, trend-based contributions (EMA, VWMA, ATR, HTF) use full weight = 1.0. If ranging, use weight = ranging_weight (e.g., 0.5) to down-weight them. Volume spike stays binary ±1 (optional to change if desired). 3. Aggregate Raw Score o Sum weighted contributions of all enabled components. Count the number of enabled components; if zero, default count = 1 to avoid division by zero. 4. Divergence Penalty o Detect pivot highs/lows on price and corresponding RSI values, using a lookback. When price and RSI diverge (bearish or bullish divergence), check if current raw score is in the opposing direction:  If bearish divergence (price higher high, RSI lower high) and raw score currently positive, subtract a penalty (e.g., 0.5).  If bullish divergence (price lower low, RSI higher low) and raw score currently negative, add a penalty. o This reduces score magnitude to reflect weakening momentum, without flipping the trend outright. 5. Normalize and Smooth o Normalized score = (raw_score / number_of_enabled_components) * 100. This yields a roughly range. o Optional EMA smoothing of this normalized score to reduce noise. 6. Interpretation o Sign: >0 = net bullish bias; <0 = net bearish bias; near zero = neutral. o Magnitude Zones: Compare |score| to thresholds (Weak, Medium, Strong) to label trend strength (e.g., “Weak Bullish Trend”, “Medium Bearish Trend”, “Strong Bullish Trend”). o Δ Score Histogram: The histogram bars from zero show change from previous bar’s score; positive bars indicate acceleration, negative bars indicate deceleration. o Confidence: Percentage of sub-indicators aligned with the score’s sign. o Regime: Indicates whether trend-based signals are fully weighted or down-weighted. ________________________________________ ## 7. Oscillator Plot & Visualization: How to Read It Main Score Line & Area The oscillator plots the aggregated score as a line, with colored fill: green above zero for bullish area, red below zero for bearish area. Horizontal reference lines at ±Weak, ±Medium, and ±Strong thresholds mark zones: crossing above +Weak suggests beginning of bullish bias, above +Medium for moderate strength, above +Strong for strong trend; similarly for bearish below negative thresholds. Δ Score Histogram If enabled, a histogram shows score - score . When positive, bars appear in green above zero, indicating accelerating bullish momentum; when negative, bars appear in red below zero, indicating decelerating or reversing momentum. The height of each bar reflects the magnitude of change in the aggregated score from the prior bar. Divergence Highlight Fill If enabled, when a pivot-based divergence is confirmed: • Bullish Divergence : fill the area below zero down to –Weak threshold in green, signaling potential reversal from bearish to bullish. • Bearish Divergence : fill the area above zero up to +Weak threshold in red, signaling potential reversal from bullish to bearish. These fills appear with a lag equal to pivot lookback (the number of bars needed to confirm the pivot). They do not repaint after confirmation, but users must understand this lag. Trend Direction Label When score crosses above or below the Weak threshold, a small label appears near the score line reading “Bullish” or “Bearish.” If the score returns within ±Weak, the label “Neutral” appears. This helps quickly identify shifts at the moment they occur. Dashboard Panel In the indicator pane’s top-right, a table shows: 1. EMA Cross status: “Bull”, “Bear”, “Flat”, or “Disabled” 2. VWMA Momentum status: similarly 3. Volume Spike status: “Bull”, “Bear”, “No”, or “Disabled” 4. ATR Breakout status: “Bull”, “Bear”, “No”, or “Disabled” 5. Higher-Timeframe Trend status: “Bull”, “Bear”, “Flat”, or “Disabled” 6. Score: numeric value (rounded) 7. Confidence: e.g., “80%” (colored: green for high, amber for medium, red for low) 8. Regime: “Trending” or “Ranging” (colored accordingly) 9. Trend Strength: textual label based on magnitude (e.g., “Medium Bullish Trend”) 10. Gauge: a bar of blocks representing |score|/100 All rows remain visible at all times; changing Dashboard Size only scales text size (Normal, Small, Tiny). ________________________________________ ## 8. Example Usage (Illustrative Scenario) Example: BTCUSD 5 Min 1. Setup: Add “Trend Gauge ” to your BTCUSD 5 Min chart. Defaults: EMAs (8/21), VWMA 14 with lookback 3, volume spike settings, ATR breakout 14/5, HTF = 5m (or adjust to 4H if preferred), ADX threshold 25, ranging weight 0.5, divergence RSI length 14 pivot lookback 5, penalty 0.5, smoothing length 3, thresholds Weak=20, Medium=50, Strong=80. Dashboard Size = Small. 2. Trend Onset: At some point, price breaks above recent high by ATR multiple, volume spikes upward, faster EMA crosses above slower EMA, HTF EMA also bullish, and ADX (manual) ≥ threshold → aggregated score rises above +20 (Weak threshold) into +Medium zone. Dashboard shows “Bull” for EMA, VWMA, Vol Spike, ATR, HTF; Score ~+60–+70; Confidence ~100%; Regime “Trending”; Trend Strength “Medium Bullish Trend”; Gauge ~6–7 blocks. Δ Score histogram bars are green and rising, indicating accelerating bullish momentum. Trader notes the alignment. 3. Divergence Warning: Later, price makes a slightly higher high but RSI fails to confirm (lower RSI high). Pivot lookback completes; the indicator highlights a bearish divergence fill above zero and subtracts a small penalty from the score, causing score to stall or retrace slightly. Dashboard still bullish but score dips toward +Weak. This warns the trader to tighten stops or take partial profits. 4. Trend Weakens: Score eventually crosses below +Weak back into neutral; a “Neutral” label appears, and a “Neutral Trend” alert fires if enabled. Trader exits or avoids new long entries. If score subsequently crosses below –Weak, a “Bearish” label and alert occur. 5. Customization: If the trader finds VWMA noise too frequent on this instrument, they may disable VWMA or increase lookback. If ATR breakouts are too rare, adjust ATR length or multiplier. If ADX threshold seems off, tune threshold. All these adjustments are explained in Inputs section. 6. Visualization: The screenshot shows the main score oscillator with colored areas, reference lines at ±20/50/80, Δ Score histogram bars below/above zero, divergence fill highlighting potential reversal, and the dashboard table in the top-right. ________________________________________ ## 9. Inputs Explanation A concise yet clear summary of inputs helps users understand and adjust: 1. General Settings • Theme (Dark/Light): Choose background-appropriate colors for the indicator pane. • Dashboard Size (Normal/Small/Tiny): Scales text size only; all dashboard elements remain visible. 2. Indicator Settings • Enable EMA Cross: Toggle on/off basic EMA alignment check. o Fast EMA Length and Slow EMA Length: Periods for EMAs. • Enable VWMA Momentum: Toggle VWMA momentum check. o VWMA Length: Period for VWMA. o VWMA Momentum Lookback: Bars to compare VWMA to measure momentum. • Enable Volume Spike: Toggle volume spike detection. o Volume SMA Length: Period to compute average volume. o Volume Spike Multiplier: How many times above average volume qualifies as spike. o Min Price Move (%): Minimum percent change in price during spike to qualify as bullish or bearish. • Enable ATR Breakout: Toggle ATR breakout detection. o ATR Length: Period for ATR. o Breakout Lookback: Bars to look back for recent highs/lows. o ATR Multiplier: Multiplier for breakout threshold. • Enable Higher Timeframe Trend: Toggle HTF EMA alignment. o Higher Timeframe: E.g., “5” for 5-minute when on 1-minute chart, or “60” for 5 Min when on 15m, etc. Uses lookahead_off. • Enable ADX Regime Filter: Toggles regime-based weighting. o ADX Length: Period for manual ADX calculation. o ADX Threshold: Value above which market considered trending. o Ranging Weight Multiplier: Weight applied to trend components when ADX < threshold (e.g., 0.5). • Scale VWMA Momentum: Toggle normalization of VWMA momentum magnitude. o VWMA Mom Scale Lookback: Period for average absolute VWMA momentum. • Scale ATR Breakout Strength: Toggle normalization of breakout distance by ATR. o ATR Scale Cap: Maximum multiple of ATR used for breakout strength. • Enable Price-RSI Divergence: Toggle divergence detection. o RSI Length for Divergence: Period for RSI. o Pivot Lookback for Divergence: Bars on each side to identify pivot high/low. o Divergence Penalty: Amount to subtract/add to score when divergence detected (e.g., 0.5). 3. Score Settings • Smooth Score: Toggle EMA smoothing of normalized score. • Score Smoothing Length: Period for smoothing EMA. • Weak Threshold: Absolute score value under which trend is considered weak or neutral. • Medium Threshold: Score above Weak but below Medium is moderate. • Strong Threshold: Score above this indicates strong trend. 4. Visualization Settings • Show Δ Score Histogram: Toggle display of the bar-to-bar change in score as a histogram. Default true. • Show Divergence Fill: Toggle background fill highlighting confirmed divergences. Default true. Each input has a tooltip in the code. ________________________________________ ## 10. Limitations, Repaint Notes, and Disclaimers 10.1. Repaint & Lag Considerations • Pivot-Based Divergence Lag: The divergence detection uses ta.pivothigh / ta.pivotlow with a specified lookback. By design, a pivot is only confirmed after the lookback number of bars. As a result: o Divergence labels or fills appear with a delay equal to the pivot lookback. o Once the pivot is confirmed and the divergence is detected, the fill/label does not repaint thereafter, but you must understand and accept this lag. o Users should not treat divergence highlights as predictive signals without additional confirmation, because they appear after the pivot has fully formed. • Higher-Timeframe EMA Alignment: Uses request.security(..., lookahead=barmerge.lookahead_off), so no future data from the higher timeframe is used. This avoids lookahead bias and ensures signals are based only on completed higher-timeframe bars. • No Future Data: All calculations are designed to avoid using future information. For example, manual ADX uses RMA on past data; security calls use lookahead_off. 10.2. Market & Noise Considerations • In very choppy or low-liquidity markets, some components (e.g., volume spikes or VWMA momentum) may be noisy. Users can disable or adjust those components’ parameters. • On extremely low timeframes, noise may dominate; consider smoothing lengths or disabling certain features. • On very high timeframes, pivots and breakouts occur less frequently; adjust lookbacks accordingly to avoid sparse signals. 10.3. Not a Standalone Trading System • This is an indicator, not a complete trading strategy. It provides signals and context but does not manage entries, exits, position sizing, or risk management. • Users must combine it with their own analysis, money management, and confirmations (e.g., price patterns, support/resistance, fundamental context). • No guarantees: past behavior does not guarantee future performance. 10.4. Disclaimers • Educational Purposes Only: The script is provided as-is for educational and informational purposes. It does not constitute financial, investment, or trading advice. • Use at Your Own Risk: Trading involves risk of loss. Users should thoroughly test and use proper risk management. • No Guarantees: The author is not responsible for trading outcomes based on this indicator. • License: Published under Mozilla Public License 2.0; code is open for viewing and modification under MPL terms. ________________________________________ ## 11. Alerts • The indicator defines three alert conditions: 1. Bullish Trend: when the aggregated score crosses above the Weak threshold. 2. Bearish Trend: when the score crosses below the negative Weak threshold. 3. Neutral Trend: when the score returns within ±Weak after being outside. Good luck – BullByte
Pine Script® indicator
by BullByte
2
Gorgo's Hybrid Oscillator STrategy**Indicator Name:** Gorgo's Hybrid Oscillator STrategy (G.H.O.S.T.) **Purpose:** The Gorgo's Hybrid Oscillator STrategy (G.H.O.S.T.) is a multi-component technical analysis tool designed to identify overbought and oversold market conditions, assess trend strength, and signal potential buy and sell opportunities. By combining elements from RSI, Ultimate Oscillator, Stochastic CCI, and ADX, this custom indicator provides a comprehensive view of momentum, trend intensity, and volume context to enhance decision-making. --- **Components and Logic:** 1. **RSI (Relative Strength Index):** * Calculated using a customizable period (default: 14) and based on the hlc3 price source. * Measures recent price changes to evaluate overbought/oversold conditions. * Incorporated in the final oscillator average. 2. **Ultimate Oscillator:** * Combines three timeframes (7, 14, 28 by default) to smooth out price movements. * Uses true range and buying pressure for multi-frame momentum analysis. * Averaged together with RSI to create the main oscillator signal. 3. **Stochastic CCI:** * Applies a stochastic process to the Commodity Channel Index (CCI). * Smooths the %K and %D lines (default: 3 each) to detect subtle reversals. * Generates oversold (<35) and overbought (>69) signals, plotted as yellow circles. 4. **ADX + DI (Average Directional Index):** * Determines trend strength using ADX and directional movement indicators (DI). * ADX threshold is set at 24 by default to filter weak trends. * Colored histogram columns: * Green: Strong bullish trend. * Red: Strong bearish trend. * Gray: Weak/no trend. 5. **Volume Analysis:** * Calculates a 9-period SMA of volume. * Detects significant volume spikes (2.7× the average by default) to validate breakouts or fakeouts. 6. **Oscillator Output ("osc") and Levels:** * The main plotted oscillator line is the average of the RSI and Ultimate Oscillator. * Important horizontal lines: * Overbought (69.0) * Oversold (35.0) * Midline (52.0): Neutral reference point. * ADX threshold line (24.0) --- **Signals:** 1. **Buy Signal Conditions:** * Close is less than or equal to open (candle is red). * Oscillator is decreasing and below oversold level. * Stochastic CCI is below midline. * Volume is above average, or excessive volume with oscillator falling below 40. * ADX confirms trend presence (either above 15 or meeting threshold). 2. **Sell Signal Conditions:** * ADX increasing and confirming trend. * Oscillator is increasing and above overbought level. * Stochastic CCI is above midline. * Volume is above average, or very high with oscillator above 60. 3. **Visual Feedback:** * Yellow dots highlight oversold/overbought Stochastic CCI. * Oscillator line in cyan. * Background colors: * Light red for buy signals. * White for sell signals. 4. **Alerts:** * Built-in `alertcondition()` calls allow automated alerts for buy and sell events. --- **Usage Guide:** * **Best Use Cases:** Trend-following and reversal strategies on any timeframe. * **Avoid Using Alone:** Use G.H.O.S.T. in conjunction with price action, support/resistance, and other confluence tools. * **Customization:** All thresholds, periods, and volumes are user-editable from the settings panel. --- **Interpretation Summary:** G.H.O.S.T. excels at filtering out noise by combining different oscillators and volume signals to offer contextually valid entries and exits. A bullish (buy) signal typically suggests a market under pressure but potentially bottoming out, while a bearish (sell) signal highlights likely exhaustion after a strong upward push. This hybrid approach makes the G.H.O.S.T. a reliable ally in volatile or choppy conditions where single-indicator strategies might fail.
Pine Script® indicator
by Gorgomannaro
1
Wick Sweep & Liquidity Grab DetectorThis indicator helps you spot those subtle yet powerful market moments when price just barely sweeps the wick of the previous candle — triggering stops and grabbing liquidity — before pulling back to close inside the prior range . These wick sweeps are classic signs of: Stop hunts Liquidity grabs Trap candles Or even smart money entries You'll see: 🟢 A green dot when price wicks below the previous low but closes back inside — potential bullish reversal zone. 🔴 A red dot when price wicks above the previous high but closes back inside — potential bearish reversal zone. Great for traders using: Smart Money Concepts (SMC) ICT-style setups Reversal scalps Or anyone looking to trade around liquidity zones Includes built-in alerts for both bullish and bearish wick sweeps, and is designed with a clean, minimalist look to reduce chart noise. Use this tool in confluence with your other edge — order blocks, imbalance zones, BOS/CHOCH, etc.
Pine Script® indicator
by johnkhawaja
Bias Table (VWAP + BOS/CHOCH)Quick Summary — “Bias Table (VWAP + BOS/CHOCH)” This indicator displays a table on your chart showing: VWAP Bias: Indicates if the price is above or below VWAP (Bullish or Bearish) for the 4H and 1H timeframes. BOS/CHOCH: Detects Break of Structure (BOS) or Change of Character (CHOCH) up or down for both timeframes. Time Left: Shows how much time remains until the current candle closes, formatted in hours, minutes, and seconds. It provides a clear snapshot of trend direction, market structure shifts, and candle timing at a glance.
Pine Script® indicator
by landengc05
Intraweek Highs & Lows🔎 Track and analyze intraweek price extremes with full flexibility. The indicator detects weekly highs or lows for any selected weekday and monitors when other days break those levels. ⚙️ Inputs Select day Pick which weekday’s extreme you want to monitor. Find Low/High Select whether you want to track Lows or Highs. Use candle Wick/Body Choose if extremes are calculated by full wick or candle body. Cutoff date Toggle the date-based filter and choose the starting date for event display.
Pine Script® indicator
by itsMisterPump
IKODO Engulfing Strategy with Dynamic RR# 📈 ELITE ENGULFING STRATEGY - PUBLICATION DESCRIPTION ## **🎯 TITLE:** **Elite Engulfing Strategy with Dynamic Risk Management - Advanced Pattern Recognition System** --- ## **📊 DESCRIPTION:** ### **🚀 OVERVIEW:** The **Elite Engulfing Strategy** is a sophisticated trading system that combines advanced pattern recognition with dynamic risk management. This strategy identifies high-probability engulfing patterns while using the 50 EMA as a trend filter, ensuring trades align with the dominant market direction. ### **🔍 KEY FEATURES:** **📈 ADVANCED PATTERN RECOGNITION:** - Enhanced engulfing pattern detection with mathematical validation - Quality filters including wick analysis and body-to-body ratio - Volume confirmation for signal strength - ATR-based volatility filtering for optimal entry timing **🎯 DYNAMIC RISK MANAGEMENT:** - Customizable Risk-Reward ratio (0.5x to 10x) - Fibonacci-based take profit levels using swing highs/lows - ATR-enhanced stop loss placement with buffer zones - Real-time position sizing based on market volatility **📊 INTELLIGENT FILTERING SYSTEM:** - 50 EMA trend filter for directional bias - Volume multiplier confirmation (1.0x to 3.0x average) - Minimum engulfing ratio validation (0.01 to 1.0) - Maximum wick ratio quality control (10% to 80%) **🔔 COMPREHENSIVE ALERT SYSTEM:** - Real-time entry signals with price and RR information - Both alertcondition() and alert() functions for maximum compatibility - Detailed signal descriptions for manual verification ### **📋 STRATEGY LOGIC:** **🟢 LONG ENTRY CONDITIONS:** - Price above 50 EMA (bullish trend confirmation) - Current bullish candle completely engulfs previous bearish candle - Current candle's low penetrates previous candle's low - Volume exceeds average by specified multiplier - ATR volatility meets minimum threshold - Wick size within acceptable parameters **🔴 SHORT ENTRY CONDITIONS:** - Price below 50 EMA (bearish trend confirmation) - Current bearish candle completely engulfs previous bullish candle - Current candle's high penetrates previous candle's high - Volume and volatility confirmations as above ### **⚙️ CUSTOMIZABLE PARAMETERS:** **🎯 Risk Management:** - Risk-Reward Ratio: 0.5 to 10.0 (default: 2.0) - Fibonacci TP Level: 0.236 to 1.0 (default: 0.618) - Use Fibonacci toggle for advanced exit strategy **📈 Trend Analysis:** - EMA Length: 1 to 200 periods (default: 50) - EMA Source: OHLC4, Close, HL2, etc. **🔍 Pattern Quality:** - Minimum Engulfing Ratio: 0.01 to 1.0 (default: 0.1) - Maximum Wick Ratio: 10% to 80% (default: 30%) **🔧 Advanced Filters:** - Volume Filter: On/Off with 1.0x to 3.0x multiplier - ATR Filter: 1 to 50 periods with 0.1 to 2.0 ratio threshold ### **📊 PERFORMANCE METRICS:** - Real-time P&L tracking - Current trend identification - ATR volatility measurement - Risk-reward ratio display - Strategy parameter overview ### **🎨 VISUAL ELEMENTS:** - 50 EMA trend line with dynamic coloring - Entry signals with triangular markers - Stop loss and take profit levels - Entry price reference line - Comprehensive information table ### **💡 BEST PRACTICES:** - Recommended for 1H to 4H timeframes - Works best in trending markets - Combine with higher timeframe analysis - Use proper position sizing (1-2% risk per trade) - Monitor during high-impact news events ### **🔧 COMPATIBILITY:** - Pine Script v6 - Compatible with all TradingView account types - Optimized for both free and premium users - Works on all asset classes (Forex, Crypto, Stocks, Indices) ### **⚠️ DISCLAIMER:** This strategy is for educational purposes only. Past performance does not guarantee future results. Always use proper risk management and never risk more than you can afford to lose. Test thoroughly on paper trading before live implementation. ## **📝 USAGE INSTRUCTIONS:** 1. Add the strategy to your chart 2. Adjust parameters according to your risk tolerance 3. Set up alerts for automated notifications 4. Backtest on your preferred timeframe and asset 5. Start with paper trading to validate performance 6. Implement proper position sizing for live trading **🎯 Ready to elevate your trading game with professional-grade pattern recognition!**
Pine Script® strategy
by IKODO
10 Moving AveragesHere's a comprehensive description for your TradingView indicator: # 10 Moving Averages Indicator A versatile technical analysis tool that displays 10 customizable moving averages on your chart. This indicator combines multiple types of moving averages to help traders identify trends, support/resistance levels, and potential trading opportunities. ### Features: - 10 fully customizable moving averages - Support for multiple MA types: SMA, EMA, RMA, WMA, VWMA, SMMA, HullMA, DEMA, TEMA, and VWAP - Individual color settings for each moving average - Adjustable source data and length for each MA - Default configuration optimized for trend analysis: - MA1-5: EMAs (10, 20, 30, 50, 100) - MA6-10: SMAs (150, 200, 250, 300, 350) ### Available Moving Average Types: - SMA (Simple Moving Average) - EMA (Exponential Moving Average) - RMA (Rolling Moving Average) - WMA (Weighted Moving Average) - VWMA (Volume Weighted Moving Average) - SMMA (Smoothed Moving Average) - HullMA (Hull Moving Average) - DEMA (Double Exponential Moving Average) - TEMA (Triple Exponential Moving Average) - VWAP (Volume Weighted Average Price) ### Usage: This indicator is particularly useful for: - Multiple timeframe analysis - Trend identification - Support and resistance levels - Price action confirmation - Trading strategy development ### Customization: Each moving average can be individually customized with: - Source data (close, open, high, low, hl2, hlc3, ohlc4) - MA type - Length - Color ### Note: The default color scheme follows a rainbow pattern for easy visual distinction, starting with red for the fastest MA and ending with gray for the slowest MA. Feel free to adjust the settings to match your trading strategy and preferences.
Pine Script® indicator
by K0V4L
BOLL + RSI 趋势信号📘 Strategy Name BOLL + RSI Dot Cluster Strategy (Unfiltered Base Version) ⸻ 🎯 Overview This strategy combines Bollinger Bands (BOLL) with the Relative Strength Index (RSI) to identify short-term overbought and oversold conditions. By detecting when price breaks out of the BOLL channels and confirming with RSI extremes, the strategy generates buy/sell signals with graded strength, visualized through stacked colored dots on the chart. ⸻ 🔍 Core Logic 🟢 Buy Signal Conditions: • Price closes below the lower Bollinger Band, indicating potential market oversold conditions or capitulation; • RSI is below the oversold threshold (default: 30), confirming technical oversold status; • When both conditions are met, a buy signal is generated. 🔴 Sell Signal Conditions: • Price closes above the upper Bollinger Band, suggesting a sharp short-term rally; • RSI is above the overbought threshold (default: 70), confirming technical overbought status; • When both conditions are satisfied, a sell signal is triggered. ⸻ 📊 Signal Strength Scoring System Each signal is scored from 1 to 5 based on: Dimension Logic Score Range RSI Score Based on how extreme the RSI is (e.g. >90 or <10 scores highest) 1–5 Price Distance Score Based on the percentage deviation of the current price from the Bollinger middle band 1–5 • The final signal strength is the average of both scores (rounded), capped at 5. • Signals are visualized as 1 to 5 stacked dots (green for buy, red for sell) above or below the candles. ⸻ 🧭 Use Cases & Suitability • Designed as a visual manual trading aid; • Can serve as a signal confirmation module for other strategies; • Particularly suited for volatile assets such as BTC, ETH, altcoins, and momentum stocks; • Works well on 1H, 4H, or daily charts; • Not recommended for blindly shorting during strong uptrends (unless used with stop-loss logic). ⸻ ⚠️ Key Characteristics & Limitations • This is a base version — no trend filters, cooldown mechanisms, or lockouts are applied; • May generate consecutive opposite signals during strong trends (e.g., repeated sell signals during an uptrend); • Users are encouraged to customize or enhance this strategy with: • Trend filters (e.g., EMA, MACD); • Cooldown intervals; • Volume or divergence confirmations; • All signals are probabilistic and do not constitute financial advice. ⸻ 🔔 Visual Guide • Green dots stacked below candles represent buy signals; • Red dots stacked above candles represent sell signals; • The number of dots = signal strength (1–5); • Bollinger Bands are plotted in white, the midline in yellow, with a subtle white background channel.
Pine Script® indicator
by ac666666