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Trend Analizi

Rolling Z-Score Trend [QuantAlgo]🟢 Overview The Rolling Z-Score Trend measures how far the current price deviates from its rolling mean in terms of standard deviations. It transforms price data into standardized scores to identify overbought and oversold conditions while tracking momentum shifts. The indicator displays a Z-Score line showing price deviation from statistical norms, with background momentum columns showing the rate of change in these deviations. This helps traders and investors identify mean reversion opportunities and momentum shifts across different asset classes and timeframes. 🟢 How It Works The indicator uses the Z-Score formula: Z = (X - μ) / σ, where X is the current closing price, μ is the rolling mean, and σ is the rolling standard deviation over a user-defined lookback period. This creates a dynamic baseline that adapts to changing market conditions and standardizes price movements for interpretation across different assets and volatility conditions. The raw Z-Score undergoes 3-period EMA smoothing to reduce noise while maintaining responsiveness to market signals. Beyond the basic Z-Score calculation, the indicator measures the rate of change in Z-Score values between successive bars, displayed as background momentum columns. This momentum component shows acceleration and deceleration of statistical deviations. All calculations are processed through confirmation filters, displaying signals only on confirmed bars to reduce premature signals based on incomplete price action. 🟢 How to Use 1. Z-Score Interpretation and Threshold Zones Positive Values (Above Zero) : Price trading above statistical mean, suggesting bullish momentum or potential overbought conditions Negative Values (Below Zero) : Price trading below statistical mean, suggesting bearish momentum or potential oversold conditions Zero Line Crosses : Signal transitions between statistical regimes and potential trend changes Upper Threshold Zone : Area above entry threshold (default 1.5) indicating potential overbought conditions Lower Threshold Zone : Area below negative entry threshold (default -1.5) indicating potential oversold conditions Extreme Values (±2.0 or higher) : Statistically significant deviations that may indicate reversal opportunities 2. Momentum Background Analysis and Info Table Green Columns : Accelerating positive momentum in Z-Score values Red Columns : Accelerating negative momentum in Z-Score values Column Height : Magnitude of momentum change between bars Momentum Divergence : When columns contradict primary Z-Score direction, often signals impending reversals Info Table : Displays real-time numerical values for both Z-Score and momentum, including trend direction indicators and bar-to-bar change calculations for position management 3. Preconfigured Settings Default : Balanced performance across multiple timeframes and asset classes for general trading and medium-term position management. Scalping : Responsive setup for ultra-short-term trading on 1-15 minute charts with frequent signals and increased sensitivity to quick price movements. Swing Trading : Optimized for multi-day positions with noise filtering, focusing on larger price swings. Most effective on 1-4 hour and daily timeframes. Trend Following : Maximum smoothing that prioritizes established trends over short-term volatility. Generates fewer signals for daily and weekly charts.
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QuantAlgo tarafından
14
Yelober - Sector Rotation Detector# Yelober - Sector Rotation Detector: User Guide ## Overview The Yelober - Sector Rotation Detector is a TradingView indicator designed to track sector performance and identify market rotations in real-time. It monitors key sector ETFs, calculates performance metrics, and provides actionable stock recommendations based on sector strength and weakness. ## Purpose This indicator helps traders identify when capital is moving from one sector to another (sector rotation), which can provide valuable trading opportunities. It also detects risk-off conditions in the market and highlights sectors with abnormal trading volume. ## Table Columns Explained ### 1. Sector Displays the sector name being monitored. The indicator tracks six primary sectors plus the S&P 500: - Energy (XLE) - Financial (XLF) - Technology (XLK) - Consumer Staples (XLP) - Utilities (XLU) - Consumer Discretionary (XLY) - S&P 500 (SPY) ### 2. Perf % Shows the daily percentage performance of each sector ETF. Values are color-coded: - Green: Positive performance - Red: Negative performance Positive values display with a "+" sign (e.g., +1.25%) ### 3. RSI Displays the Relative Strength Index value for each sector, which helps identify overbought or oversold conditions: - Values above 70 (highlighted in red): Potentially overbought - Values below 30 (highlighted in green): Potentially oversold - Values between 30-70 (highlighted in blue): Neutral territory ### 4. Vol Ratio Shows the volume ratio, which compares today's volume to the average volume over the lookback period: - Values above 1.5x (highlighted in yellow): Indicates abnormally high trading volume - Values below 1.5x (highlighted in blue): Normal trading volume This helps identify sectors with unusual activity that may signal important price movements. ### 5. Trend Displays the current price trend direction with symbols: - ▲ (green): Uptrend (today's close > yesterday's close) - ▼ (red): Downtrend (today's close < yesterday's close) - ◆ (gray): Neutral (today's close = yesterday's close) ## Summary & Recommendations Section The summary section provides: 1. **Sector Rotation Detection**: Identifies when there's a significant performance gap (>2%) between the strongest and weakest sectors. 2. **Risk-Off Mode Detection**: Alerts when defensive sectors (Consumer Staples and Utilities) are positive while Technology is negative, which often signals investors are moving to safer assets. 3. **Strong Volume Detection**: Indicates when any sector shows abnormally high trading volume. 4. **Stock Recommendations**: Suggests specific stocks to consider for long positions (from the strongest sectors) and short positions (from the weakest sectors). ## Example Interpretations ### Example 1: Sector Rotation If you see: - Technology: -1.85% - Financial: +2.10% - Summary shows: "SECTOR ROTATION DETECTED: Rotation from Technology to Financial" **Interpretation**: Capital is moving out of tech stocks and into financial stocks. This could be due to rising interest rates, which typically benefit banks while pressuring high-growth tech companies. Consider looking at financial stocks like JPM, BAC, and WFC for potential long positions. ### Example 2: Risk-Off Conditions If you see: - Consumer Staples: +0.80% - Utilities: +1.20% - Technology: -1.50% - Summary shows: "RISK-OFF MODE DETECTED" **Interpretation**: Investors are seeking safety in defensive sectors while selling growth-oriented tech stocks. This often occurs during market uncertainty or ahead of economic concerns. Consider reducing exposure to high-beta stocks and possibly adding defensive names like PG, KO, or NEE. ### Example 3: Volume Spike If you see: - Energy: +3.20% with Volume Ratio 2.5x (highlighted in yellow) - Summary shows: "STRONG VOLUME DETECTED" **Interpretation**: The energy sector is making a strong move with significantly higher-than-average volume, suggesting conviction behind the price movement. This could indicate the beginning of a sustained trend in energy stocks. Consider names like XOM, CVX, and COP. ## How to Use the Indicator 1. Apply the indicator to any chart (works best on daily timeframes). 2. Customize settings if needed: - Timeframe: Choose between intraday (60 or 240 minutes), daily, or weekly - Lookback Period: Adjust the historical comparison period (default: 20) - RSI Period: Modify the RSI calculation period (default: 14) 3. To refresh the data: Click the settings icon, increase the "Click + to refresh data" counter, and click "OK". 4. Identify opportunities based on sector performance, RSI levels, volume ratios, and the summary recommendations. This indicator helps traders align with market rotation trends and identify which sectors (and specific stocks) may outperform or underperform in the near term.
Pine Script® göstergesi
yelober tarafından
7
Liquidity Hunter HeatmapLiquidity Hunter (GPS Companion Tool) Liquidity Hunter is a specialized script designed to help traders visualize and track potential liquidation zones, clusters, and imbalance traps in real-time. It is particularly useful for scalpers and short-term traders who rely on liquidity sweeps, stop hunts, and reversion plays. This tool does not replicate open-source liquidation trackers. Instead, it uses a proprietary combination of volume surges, candle displacement, VWAP deviation, and high-timeframe wicks to infer areas of trapped traders and display them with clear, color-coded markers. Key Features: • Real-Time Liquidation Estimates: Detects where major stop losses (and potential liquidations) may have occurred, based on proprietary volume + price action logic. • Cluster Strength Bubbles: Visual bubbles (scaled by cluster size) show where liquidations are stacking. Purple for bearish, white for bullish — intensity reflects strength. • Pre-Liquidation Warning Zones: Highlights areas where price is likely to sweep liquidity before reversing, helping traders avoid chasing moves. • Dollar-Based Labels (Optional): Displays the estimated value liquidated, helping traders size the significance of a move (e.g., $8.4M). • Minimal Clutter Mode: Designed for intraday clarity — hides excess lines and uses bubbles, not shapes, for cleaner visualization.
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RickyTSpanish tarafından
ICT SMT Divergence Lines - EnhancedThis indicator identifies and highlights Smart Money Technique (SMT) divergence between two user-selected symbols across any timeframe. It compares the last two completed candles of both symbols and marks potential SMT signals only when market context aligns with smart money principles. ⚡ Key Features ✅ SMT Bullish Signal Symbol 1 forms a lower low compared to its prior candle. Symbol 2 forms a higher low compared to its prior candle. The previous candle on the chart was bearish (close < open). ✅ SMT Bearish Signal Symbol 1 forms a higher high compared to its prior candle. Symbol 2 forms a lower high compared to its prior candle. The previous candle on the chart was bullish (close > open). ✅ Visual Representation Draws a clean, subtle line between the two SMT candles — green for bullish SMT and red for bearish SMT — making divergence easy to spot. Optional small triangle markers above or below the bar where SMT is detected. Old lines are automatically removed to keep the chart uncluttered. ✅ Multi-timeframe compatible Works on any chart timeframe. Compares the last two completed candles in the current chart timeframe, or can be adapted for a fixed higher timeframe.
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Ambages tarafından
Pullback Historical DataIndicator Description: Dados-historico-Pullback This indicator identifies pivot points (local support and resistance levels) on the chart based on a user-defined period. It calculates the difference between the last found resistance and support levels, displaying this current difference as well as its historical maximum and minimum values. How to use: Pivot Period: Adjust the "Pivot Period" parameter to define how many bars before and after the indicator should look for a pivot point (high or low). A higher value makes the pivot more conservative, finding stronger and more spaced pivots. A lower value detects more frequent pivots, sensitive to quick market moves. Label and Text Color: You can customize the background color of the label and the text color for better visibility on the chart. Label Size: The indicator offers four label sizes: XS (Extra Small): small label to save space. S (Small): compact and readable size. M (Medium): default size, a balance between readability and space. L (Large): bigger label for more emphasis. If you choose an invalid value, the default M (Medium) size will be used automatically. Example to adjust the Pivot Period: Setting the Pivot Period to 3 means the indicator will look for pivots within 3 bars before and after each point. This produces many pivots, including smaller ones and noise. It’s useful for fast trades or scalping. Setting it to 10 means the indicator looks for pivots farther apart, producing fewer signals but more significant ones, suitable for more conservative analysis. I recommend starting with a middle value like 5 and testing how the indicator behaves on your chart. Then adjust up or down depending on your trading style and timeframe.
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Canhoto-Medium tarafından
SHYY TFC SPX Sectors list This script provides a clean, configurable table displaying real-time data for the major SPX sectors, key indices, and market sentiment indicators such as VIX and the 10-year yield (US10Y). It includes 16 columns with two rows: * The top row shows the sector/asset symbol. * The bottom row shows the most recent daily close price. Each price cell is dynamically color-coded based on: * Direction (green/red) during regular trading hours * Separate colors during extended hours (pre-market or post-market) * VIX values greater than 30 trigger a distinct background highlight Users can fully control the position of the table on the chart via input settings. This flexibility allows traders to place the table in any screen corner or center without overlapping key price action. The script is designed for: * Monitoring broad market health at a glance * Understanding sector performance in real-time * Spotting risk-on/risk-off behavior (via SPY, QQQ, VIX, US10Y) Unlike traditional watchlists, this table visually encodes directional movement and trading session context (regular vs. extended hours), making it highly actionable for intraday, swing, or macro-level analysis. All data is pulled using `request.security()` on daily candles and uses pure Pine logic without external dependencies. To use: 1. Add the indicator to your chart. 2. Adjust the table position via the input dropdown. 3. Read sector strength or weakness directly from the table.
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shayy110 tarafından
Consolidation Zones[RanaAlgo]Overview This indicator helps traders identify price consolidation zones (ranges) and potential breakouts in the market. It is useful for spotting periods of low volatility before significant price movements. How It Works Detects Consolidation Zones Uses the ADX (Average Directional Index) to determine when the market is in a consolidation phase . When ADX is below the threshold , the indicator marks the start of a consolidation zone. Draws a semi-transparent box around the price range, adjusting its height as new highs/lows form. Tracks Breakouts When price breaks above/below the consolidation box, it signals a potential trend continuation. Displays breakout arrows/labels (configurable shape & style) when price exits the range. Visual Features Boxes highlight consolidation areas (customizable color, border, and style). Labels show real-time status ("CONSOLIDATING" or "TRENDING"). Breakout signals appear as arrows or shapes (up/down). Usefulness in Trading Range Trading: Helps traders identify sideways markets for buying low and selling high. Breakout Trading: Signals potential trend entries when price exits consolidation. Trend Confirmation: Low ADX + consolidation box = weak trend; breakout = possible trend start. Example: If price stays in a blue box (consolidation) and then breaks above with an arrow, it suggests a bullish move.
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RanaAlgo tarafından
Trend Flow Trail [AlgoAlpha]OVERVIEW This script overlays a custom hybrid indicator called the Money Flow Trail which combines a volatility-based trend-following trail with a volume-weighted momentum oscillator. It’s built around two core components: the AlphaTrail—a dynamic band system influenced by Hull MA and volatility—and a smoothed Money Flow Index (MFI) that provides insights into buying or selling pressure. Together, these tools are used to color bars, generate potential reversal markers, and assist traders in identifying trend continuation or exhaustion phases in any market or timeframe. CONCEPTS The AlphaTrail calculates a volatility-adjusted channel around price using the Hull Moving Average as the base and an EMA of range as the spread. It adaptively shifts based on price interaction to capture trend reversals while avoiding whipsaws. The direction (bullish or bearish) determines both the band being tracked and how the trail locks in. The Money Flow Index (MFI) is derived from hlc3 and volume, measuring buying vs selling pressure, and is further smoothed with a short Hull MA to reduce noise while preserving structure. These two systems work in tandem: AlphaTrail governs directional context, while MFI refines the timing. FEATURES Dynamic AlphaTrail line with regime switching logic that controls directional bias and bar coloring. Smoothed MFI with gradient coloring to visually communicate pressure and exhaustion levels. Overbought/oversold thresholds (80/20), mid-level (50), and custom extreme zones (90/10) for deeper signal granularity. Built-in take-profit signal logic: crossover of MFI into overbought with bullish AlphaTrail, or into oversold with bearish AlphaTrail. Visual fills between price and AlphaTrail for clearer confirmation during trend phases. Alerts for regime shifts, MFI crossovers, trail interactions, and bar color regime changes. USAGE Add the indicator to any chart. Use the AlphaTrail plot to define trend context: bullish (trailing below price) or bearish (trailing above). MFI values give supporting confirmation—favor long setups when MFI is rising and above 50 in a bullish regime, and shorts when MFI is falling and below 50 in a bearish regime. The colored fills help visually track strength; sharp changes in MFI crossing 80/20 or 90/10 zones often precede pullbacks or reversals. Use the plotted circles as optional take-profit signals when MFI and trend are extended. Adjust AlphaTrail length/multiplier and MFI smoothing to better match the asset’s volatility profile.
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AlgoAlpha tarafından
17
Candle Range Detector by TradeTech AnalysisCandle Range Detector by TradeTech Analysis This advanced indicator identifies and visualizes price compression zones based on inside bar formations, then tracks how price behaves around those zones — offering valuable insights into liquidity sweeps, range expansions, and trap/mitigation behavior. The script builds upon the foundational concept of range-based price action, commonly used by institutional traders, and adds automation, mitigation tracking, and sweep detection to map how price reacts around these critical ranges. 🔍 How It Works: • Range Formation: A new range is detected when the current candle forms entirely within the high and low of the previous candle (i.e., an inside bar). This behavior often indicates price compression and potential breakout zones. • Range Extension: Once a range is confirmed, the script projects upper and lower boundaries (using either a percentage-based multiplier or Fibonacci log extension), providing context for expected breakout zones. • Mitigation Tracking: The script continuously monitors whether price breaks above or below the projected extensions, marking that range as mitigated — useful for confirming whether liquidity was absorbed. • Sweep Detection: If price re-visits a mitigated zone and shows signs of a liquidity sweep (via wick + close behavior), the indicator triggers visual sweep labels and optional alerts. 🧠 Optional Visual Enhancements: • Highlight range-forming candles with light blue background (toggle on/off) • Midpoint dotted line for symmetry analysis • Labels for “Range High” and “Range Low” for visual clarity • Dynamic box drawing that adapts upon mitigation or continuation ⚙️ Customizable Features: • Choose between Normal and Fibonacci-based detection modes • Toggle visibility of range boxes, extension lines, and sweep markers • Configure sweep alerts, mitigation window size, and visual transparency ⸻ 🧪 Use Cases • Identify consolidation zones before major price moves • Confirm liquidity sweeps for entry/exit traps • Visualize and test mitigation behavior of past zones • Combine with Order Flow or Volume Profile tools to enhance context ⸻ ⚠️ This is a fully original implementation that goes beyond classical inside-bar scanners by incorporating mitigation, extension projection, and liquidity sweeps — making it a powerful tool for intraday, swing, and even Smart Money-based trading setups.
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TradeTechanalysis tarafından
Deviation Trend Profile [BigBeluga]🔵 OVERVIEW A statistical trend analysis tool that combines moving average dynamics with standard deviation zones and trend-specific price distribution. This is an experimental indicator designed for educational and learning purposes only. 🔵 CONCEPTS Trend Detection via SMA Slope: Detects trend shifts when the slope of the SMA exceeds a ±0.1 threshold. Standard Deviation Zones: Calculates ±1, ±2, and ±3 levels from the SMA using ATR, forming dynamic envelopes around the mean. Trend Distribution Profile: Builds a histogram that shows how often price closed within each deviation zone during the active trend phase. 🔵 FEATURES Trend Signals: Immediate shift markers using colored circles at trend reversals. SMA Gradient Coloring: The SMA line dynamically changes color based on its directional slope. Trend Duration Label: A label above the histogram shows how many bars the current trend has lasted. Trend Distribution Histogram: Visual bin-based profile showing frequency of price closes within deviation bands during trend lookback period. Adjustable Bin Count: Set the granularity of the distribution using the “Bins Amount” input. Deviation Labels and Zones: Clearly marked ±1, ±2, ±3 lines with consistent color scheme. Trend Strength Insight:   • Wide profile skewed to ±2/3 = strong directional trend.   • Profile clustered near SMA = potential trend exhaustion or range. 🔵 HOW TO USE Use trend shift dots as entry signals:   • 🔵 = Bullish start   • 🔴 = Bearish start Trade with the trend when price clusters in outer zones (±2 or ±3). Be cautious or fade the trend when price distribution contracts toward the SMA. View across multiple timeframes for trend confluence or divergence. 🔵 CONCLUSION Deviation Trend Profile visualizes how price distributes during trends relative to statistical deviation zones. It’s a powerful confluence tool for identifying strength, exhaustion, and the rhythm of price behavior—ideal for swing traders and volatility analysts alike.
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BigBeluga tarafından
18
Market Matrix ViewThis technical indicator is designed to provide traders with a quick and integrated view of market dynamics by combining several popular indicators into a single tool. It's not a magic bullet, but a practical aid for analyzing buying/selling pressure, trends, volume, and divergences, saving you time in the decision-making process. Built for flexibility, the indicator adapts to various trading styles (scalping, swing, or long-term) and offers customizable settings to suit your needs. 🟡 Multi-Timeframe Trends ➤ This section displays the trend direction (bullish, bearish, or neutral) across 15-minute, 1-hour, 4-hour, and Daily timeframes, providing multi-timeframe market context. Timeframes lower than the one currently selected will show "N/A." ➤It utilizes fast and slow Exponential Moving Averages (EMAs) for each timeframe: 15m: Fast EMA 42, Slow EMA 170 1h: Fast EMA 40, Slow EMA 100 4h: Fast EMA 36, Slow EMA 107 Daily: Fast EMA 20, Slow EMA 60 🟡 Smart Flow & RVOL ➤ This section displays "Buying Pressure" or "Selling Pressure" signals based on indicator confluence, alongside volume activity ("High Activity," "Normal Activity," or "Low Activity"). ➤ Smart Flow combines Chaikin Money Flow (CMF) and Money Flow Index (MFI) to detect buying/selling pressure. CMF measures money flow based on price position within the high-low range, while MFI analyzes money flow considering typical price and volume. A signal is generated only when both indicators simultaneously increase/decrease beyond an adjustable threshold ("Buy/Sell Sensitivity") and volume exceeds a Simple Moving Average (SMA) scaled by the "Volume Multiplier." ➤ RVOL (Relative Volume) calculates relative volume separately for bullish and bearish candles, comparing recent volume (fast SMA) with a reference volume (slow SMA). Thresholds are adjusted based on the selected mode. 🟡 ADX & RSI This section displays trend strength ("Strong," "Moderate," or "Weak"), its direction ("Bullish" or "Bearish"), and the RSI momentum status ("Overbought," "Oversold," "Buy/Sell Momentum," or "Neutral"). ➤ ADX (Average Directional Index) measures trend strength (above 40 = "Strong," 20–40 = "Moderate," below 20 = "Weak"). Direction is determined by comparing +DI (upward movement) with -DI (downward movement). Additionally, an arrow indicates whether the trend's strength is decreasing or increasing. ➤RSI (Relative Strength Index) evaluates price momentum. Extreme levels (above 80/85 = "Overbought," below 15/20 = "Oversold") and intermediate zones (47–53 = "Neutral," above 53 = "Buy Momentum," below 47 = "Sell Momentum") are adjusted based on the selected mode. 🟡 When these signals are active for a potential trade setup, the table's background lights up green or red, respectively. 🟡 Volume Spikes ➤This feature highlights bars with significantly higher volume than the recent average, coloring them yellow on the chart to draw attention to intense market activity. ➤It uses the Z-Score method to detect volume anomalies. Current volume is compared to a 10-bar Simple Moving Average (SMA) and the standard deviation of volume over the same period. If the Z-Score exceeds a certain threshold, the bar is marked as a volume spike. 🟡 Divergences (Volume Divergence Detection) ➤ This feature marks divergences between price and technical indicators on the chart, using diamond-shaped labels (green for bullish divergences, red for bearish divergences) to signal potential trend reversals. ➤ It compares price deviations from a Simple Moving Average (SMA) with deviations of three indicators: Chaikin Money Flow (CMF), Money Flow Index (MFI), and On-Balance Volume (OBV). A bullish divergence occurs when price falls below its average, but CMF, MFI, and OBV rise above their averages, indicating hidden accumulation. A bearish divergence occurs when price rises above its average, but CMF, MFI, and OBV fall, suggesting distribution. The length of the moving averages is adjustable (default 13/10/5 bars for Scalping/Balanced/Swing), and detection thresholds are scaled by "Divergence Sensitivity" (default 1.0). 🟡 Adaptive Stop-Loss (ATR) ➤Draws dynamic stop-loss lines (red, dashed) on the chart for buy or sell signals, helping traders manage risk.Uses the Average True Range (ATR) to calculate stop-loss levels, set at low/high ± ATR × multiplier 🟡 Alerts for trend direction changes in the Info Panel: ➤ Triggers notifications when the trend shifts to Bullish (when +DI crosses above -DI) or Bearish (when +DI crosses below -DI), helping you stay informed about key market shifts. How to use: Set alerts in Trading View for “Trend Changed to Bullish” or “Trend Changed to Bearish” with “Once Per Bar Close” for reliable signals. 🟡 Settings (Inputs) ➤ The indicator offers customizable settings to fit your trading style, but it's already optimized for Scalping (1m–15m), Balanced (16m–3h59m), and Swing (4h–Daily) modes, which automatically adjust based on the selected timeframe. The visible inputs allow you to adjust the following parameters: Show Info Panel: Enables/disables the information panel (default: enabled). Show Volume Spikes: Turns on/off coloring for volume spike bars (default: enabled). Spike Sensitivity: Controls the Z-Score threshold for detecting volume spikes (default: 2.0; lower values increase signal frequency). Show Divergence: Enables/disables the display of divergence labels (default: enabled). Divergence Sensitivity: Adjusts the thresholds for divergence detection (default: 1.0; higher values reduce sensitivity). Divergence Lookback Length: Sets the length of the moving averages used for divergences (default: 5, automatically adjusted to 13/10/5 for Scalping/Balanced/Swing). RVOL Reference Period: Defines the reference period for relative volume (default: 20, automatically adjusted to 7/15/20). RSI Length: Sets the RSI length (default: 14, automatically adjusted to 5/10/14). Buy Sensitivity: Controls the increase threshold for Buying Pressure signals (default: 0.007; higher values reduce frequency). Sell Sensitivity: Controls the decrease threshold for Selling Pressure signals (default: 0.007; higher values reduce frequency). Volume Multiplier (B/S Pressure): Adjusts the volume threshold for Smart Flow signals (default: 0.6; higher values require greater volume). 🟡 This indicator is created to simplify market analysis, but I am not a professional in Pine Script or technical indicators. This indicator is not a standalone solution. For optimal results, it must be integrated into a well-defined trading strategy that includes risk management and other confirmations.
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ToCoMi tarafından
BOS mark-out (by Lumiere)Advanced BOS Detection with Strict Swing Confirmation This indicator implements BOS detection with several unique features: 🔹 Dual-Candle Swing Validation - Unlike most BOS indicators that use single candle swings, this uses a two-candle confirmation for swing highs/lows, analyzing both the candle wicks and body transitions. 🔹 Directional Lock System - Implements a state machine that prevents duplicate signals until an opposite-direction BOS occurs, reducing noise. 🔹 Precision Wick Analysis - Compares wicks between the reversal candle and confirmation candle to identify the true swing point. 🔹 Real-Time Update & Live Market Adaptation – The indicator continuously monitors price action and instantly updates BOS signals as new candles form, ensuring you never miss a BOS. How It Differs From Other BOS Indicators: Most public BOS indicators use simple HH/HL or LH/LL detection. Many don't implement the directional locking mechanism. Few use the two-candle wick comparison approach. Wick-Based Precision uses the extreme wicks of two candles (not just the body). Strict Confirmation requires a close beyond the swing point (no "wick breaks" counted). Usage Examples: 🟦 Bullish BOS: A green candle closes, followed by a red candle. This will be the new high, and if the next candle closes above the highest wick of those two, it will be a BOS (only if we had a bearish BOS before) 🟥 Bearish BOS: A red candle closes, followed by a green candle. This will be the new low, and if the next candle closes below the lowest wick of those two, it will be a BOS (only if we had a Bullish BOS before)
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Lumiere-Stocks tarafından
5
Path of Least ResistancePath of Least Resistance (PLR) Concept Overview The Path of Least Resistance indicator identifies key zones on your chart that act like "muddy" or "sticky" areas where price tends to get bogged down, creating choppy and unpredictable price action. Between these zones lie the "empty spaces" - clear paths where price can move freely with momentum and direction. The Analogy: Muddy Fields vs Open Roads Think of your chart like a landscape: 🟫 ZONES (Muddy/Sticky Areas) Fair Value Gaps (FVGs) from higher timeframes Pivot wick zones from higher timeframe pivots Areas where price gets "stuck" and churns Like walking through thick mud - slow, choppy, unpredictable movement Price action becomes erratic and difficult to trade 🟢 EMPTY SPACES (Open Roads) The clear areas between zones Where price can move freely with momentum Like driving on an open highway - smooth, directional movement The "Path of Least Resistance" for price movement Trading Philosophy AVOID Trading Within Zones: Price action is typically choppy and unpredictable Higher probability of false signals and whipsaws Like trying to drive through mud - you'll get stuck TRADE Through the Empty Spaces: Look for moves that travel between zones Price tends to move with momentum and direction Higher probability setups with cleaner price action Like taking the highway instead of back roads Zone Types Detected Fair Value Gaps (FVGs) Imbalances from higher timeframe candles Areas where price "owes" a return visit Often act as magnets, creating choppy price action Pivot Wick Zones Upper and lower wicks from higher timeframe pivots Rejection areas where price previously struggled Often create resistance/support that leads to choppy movement Color Coding System The zones dynamically change color based on current price position: 🔴 RED ZONES : Price is below the zone (bearish context) 🟢 GREEN ZONES : Price is above the zone (bullish context) 🔘 GRAY ZONES : Price is within the zone (neutral/choppy area) The "Mum Trades" Strategy The best trades - what we call "Mum trades" (trades so obvious even your mum could spot them) - happen in the empty spaces between zones: ✅ High Probability Characteristics: Clear directional movement between zones Less noise and false signals Higher momentum and follow-through Cleaner technical patterns ❌ Avoid These Areas: Trading within the muddy zones Expecting clean moves through sticky areas Fighting against the natural flow of price Key Features Auto Timeframe Detection : Automatically selects appropriate higher timeframe Dynamic Zone Management : Overlapping zones are automatically cleaned up Real-time Alerts : Get notified when price enters/exits zones Visual Clarity : Clean zone display with extending boundaries How to Use Identify the Zones : Let the indicator mark the muddy areas Find the Paths : Look for clear spaces between zones Plan Your Trades : Target moves that travel through empty space Avoid the Mud : Stay away from trading within the zones Follow the Flow : Trade with the path of least resistance Remember Price, like water, always seeks the path of least resistance. By identifying where that path is clear (empty spaces) versus where it's obstructed (zones), you can align your trading with the natural flow of the market rather than fighting against it. The goal is simple: Trade the highways, avoid the mud.
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mindyourbuisness tarafından
PRO Investing - LevelPRO Investing - Level 📊 Dynamic Support/Resistance This indicator plots the PRO Investing Level, defined as the midpoint between the highest high and lowest low over the past 252 trading days (default lookback period, equivalent to ~1 year). It acts as a key mean-reversion reference level, useful for identifying potential support/resistance zones or market equilibrium levels. Features: 🕰️ Option to display only today’s level or historical levels. ⚙️ Customizable lookback period for flexibility across timeframes and strategies. 📉 Teal line plotted directly on the chart, highlighting this institutional-grade level. Ideal for traders looking to anchor price action to significant historical ranges—particularly useful in mean-reversion, breakout, or volatility compression strategies.
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PRO-Investing tarafından
Grothendieck-Teichmüller Geometric SynthesisDskyz's Grothendieck-Teichmüller Geometric Synthesis (GTGS) THEORETICAL FOUNDATION: A SYMPHONY OF GEOMETRIES The 🎓 GTGS is built upon a revolutionary premise: that market dynamics can be modeled as geometric and topological structures. While not a literal academic implementation—such a task would demand computational power far beyond current trading platforms—it leverages core ideas from advanced mathematical theories as powerful analogies and frameworks for its algorithms. Each component translates an abstract concept into a practical market calculation, distinguishing GTGS by identifying deeper structural patterns rather than relying on standard statistical measures. 1. Grothendieck-Teichmüller Theory: Deforming Market Structure The Theory : Studies symmetries and deformations of geometric objects, focusing on the "absolute" structure of mathematical spaces. Indicator Analogy : The calculate_grothendieck_field function models price action as a "deformation" from its immediate state. Using the nth root of price ratios (math.pow(price_ratio, 1.0/prime)), it measures market "shape" stretching or compression, revealing underlying tensions and potential shifts. 2. Topos Theory & Sheaf Cohomology: From Local to Global Patterns The Theory : A framework for assembling local properties into a global picture, with cohomology measuring "obstructions" to consistency. Indicator Analogy : The calculate_topos_coherence function uses sine waves (math.sin) to represent local price "sections." Summing these yields a "cohomology" value, quantifying price action consistency. High values indicate coherent trends; low values signal conflict and uncertainty. 3. Tropical Geometry: Simplifying Complexity The Theory : Transforms complex multiplicative problems into simpler, additive, piecewise-linear ones using min(a, b) for addition and a + b for multiplication. Indicator Analogy : The calculate_tropical_metric function applies tropical_add(a, b) => math.min(a, b) to identify the "lowest energy" state among recent price points, pinpointing critical support levels non-linearly. 4. Motivic Cohomology & Non-Commutative Geometry The Theory : Studies deep arithmetic and quantum-like properties of geometric spaces. Indicator Analogy : The motivic_rank and spectral_triple functions compute weighted sums of historical prices to capture market "arithmetic complexity" and "spectral signature." Higher values reflect structured, harmonic price movements. 5. Perfectoid Spaces & Homotopy Type Theory The Theory : Abstract fields dealing with p-adic numbers and logical foundations of mathematics. Indicator Analogy : The perfectoid_conv and type_coherence functions analyze price convergence and path identity, assessing the "fractal dust" of price differences and price path cohesion, adding fractal and logical analysis. The Combination is Key : No single theory dominates. GTGS ’s Unified Field synthesizes all seven perspectives into a comprehensive score, ensuring signals reflect deep structural alignment across mathematical domains. 🎛️ INPUTS: CONFIGURING THE GEOMETRIC ENGINE The GTGS offers a suite of customizable inputs, allowing traders to tailor its behavior to specific timeframes, market sectors, and trading styles. Below is a detailed breakdown of key input groups, their functionality, and optimization strategies, leveraging provided tooltips for precision. Grothendieck-Teichmüller Theory Inputs 🧬 Deformation Depth (Absolute Galois) : What It Is : Controls the depth of Galois group deformations analyzed in market structure. How It Works : Measures price action deformations under automorphisms of the absolute Galois group, capturing market symmetries. Optimization : Higher Values (15-20) : Captures deeper symmetries, ideal for major trends in swing trading (4H-1D). Lower Values (3-8) : Responsive to local deformations, suited for scalping (1-5min). Timeframes : Scalping (1-5min) : 3-6 for quick local shifts. Day Trading (15min-1H) : 8-12 for balanced analysis. Swing Trading (4H-1D) : 12-20 for deep structural trends. Sectors : Stocks : Use 8-12 for stable trends. Crypto : 3-8 for volatile, short-term moves. Forex : 12-15 for smooth, cyclical patterns. Pro Tip : Increase in trending markets to filter noise; decrease in choppy markets for sensitivity. 🗼 Teichmüller Tower Height : What It Is : Determines the height of the Teichmüller modular tower for hierarchical pattern detection. How It Works : Builds modular levels to identify nested market patterns. Optimization : Higher Values (6-8) : Detects complex fractals, ideal for swing trading. Lower Values (2-4) : Focuses on primary patterns, faster for scalping. Timeframes : Scalping : 2-3 for speed. Day Trading : 4-5 for balanced patterns. Swing Trading : 5-8 for deep fractals. Sectors : Indices : 5-8 for robust, long-term patterns. Crypto : 2-4 for rapid shifts. Commodities : 4-6 for cyclical trends. Pro Tip : Higher towers reveal hidden fractals but may slow computation; adjust based on hardware. 🔢 Galois Prime Base : What It Is : Sets the prime base for Galois field computations. How It Works : Defines the field extension characteristic for market analysis. Optimization : Prime Characteristics : 2 : Binary markets (up/down). 3 : Ternary states (bull/bear/neutral). 5 : Pentagonal symmetry (Elliott waves). 7 : Heptagonal cycles (weekly patterns). 11,13,17,19 : Higher-order patterns. Timeframes : Scalping/Day Trading : 2 or 3 for simplicity. Swing Trading : 5 or 7 for wave or cycle detection. Sectors : Forex : 5 for Elliott wave alignment. Stocks : 7 for weekly cycle consistency. Crypto : 3 for volatile state shifts. Pro Tip : Use 7 for most markets; 5 for Elliott wave traders. Topos Theory & Sheaf Cohomology Inputs 🏛️ Temporal Site Size : What It Is : Defines the number of time points in the topological site. How It Works : Sets the local neighborhood for sheaf computations, affecting cohomology smoothness. Optimization : Higher Values (30-50) : Smoother cohomology, better for trends in swing trading. Lower Values (5-15) : Responsive, ideal for reversals in scalping. Timeframes : Scalping : 5-10 for quick responses. Day Trading : 15-25 for balanced analysis. Swing Trading : 25-50 for smooth trends. Sectors : Stocks : 25-35 for stable trends. Crypto : 5-15 for volatility. Forex : 20-30 for smooth cycles. Pro Tip : Match site size to your average holding period in bars for optimal coherence. 📐 Sheaf Cohomology Degree : What It Is : Sets the maximum degree of cohomology groups computed. How It Works : Higher degrees capture complex topological obstructions. Optimization : Degree Meanings : 1 : Simple obstructions (basic support/resistance). 2 : Cohomological pairs (double tops/bottoms). 3 : Triple intersections (complex patterns). 4-5 : Higher-order structures (rare events). Timeframes : Scalping/Day Trading : 1-2 for simplicity. Swing Trading : 3 for complex patterns. Sectors : Indices : 2-3 for robust patterns. Crypto : 1-2 for rapid shifts. Commodities : 3-4 for cyclical events. Pro Tip : Degree 3 is optimal for most trading; higher degrees for research or rare event detection. 🌐 Grothendieck Topology : What It Is : Chooses the Grothendieck topology for the site. How It Works : Affects how local data integrates into global patterns. Optimization : Topology Characteristics : Étale : Finest topology, captures local-global principles. Nisnevich : A1-invariant, good for trends. Zariski : Coarse but robust, filters noise. Fpqc : Faithfully flat, highly sensitive. Sectors : Stocks : Zariski for stability. Crypto : Étale for sensitivity. Forex : Nisnevich for smooth trends. Indices : Zariski for robustness. Timeframes : Scalping : Étale for precision. Swing Trading : Nisnevich or Zariski for reliability. Pro Tip : Start with Étale for precision; switch to Zariski in noisy markets. Unified Field Configuration Inputs ⚛️ Field Coupling Constant : What It Is : Sets the interaction strength between geometric components. How It Works : Controls signal amplification in the unified field equation. Optimization : Higher Values (0.5-1.0) : Strong coupling, amplified signals for ranging markets. Lower Values (0.001-0.1) : Subtle signals for trending markets. Timeframes : Scalping : 0.5-0.8 for quick, strong signals. Swing Trading : 0.1-0.3 for trend confirmation. Sectors : Crypto : 0.5-1.0 for volatility. Stocks : 0.1-0.3 for stability. Forex : 0.3-0.5 for balance. Pro Tip : Default 0.137 (fine structure constant) is a balanced starting point; adjust up in choppy markets. 📐 Geometric Weighting Scheme : What It Is : Determines the framework for combining geometric components. How It Works : Adjusts emphasis on different mathematical structures. Optimization : Scheme Characteristics : Canonical : Equal weighting, balanced. Derived : Emphasizes higher-order structures. Motivic : Prioritizes arithmetic properties. Spectral : Focuses on frequency domain. Sectors : Stocks : Canonical for balance. Crypto : Spectral for volatility. Forex : Derived for structured moves. Indices : Motivic for arithmetic cycles. Timeframes : Day Trading : Canonical or Derived for flexibility. Swing Trading : Motivic for long-term cycles. Pro Tip : Start with Canonical; experiment with Spectral in volatile markets. Dashboard and Visual Configuration Inputs 📋 Show Enhanced Dashboard, 📏 Size, 📍 Position : What They Are : Control dashboard visibility, size, and placement. How They Work : Display key metrics like Unified Field , Resonance , and Signal Quality . Optimization : Scalping : Small size, Bottom Right for minimal chart obstruction. Swing Trading : Large size, Top Right for detailed analysis. Sectors : Universal across markets; adjust size based on screen setup. Pro Tip : Use Large for analysis, Small for live trading. 📐 Show Motivic Cohomology Bands, 🌊 Morphism Flow, 🔮 Future Projection, 🔷 Holographic Mesh, ⚛️ Spectral Flow : What They Are : Toggle visual elements representing mathematical calculations. How They Work : Provide intuitive representations of market dynamics. Optimization : Timeframes : Scalping : Enable Morphism Flow and Spectral Flow for momentum. Swing Trading : Enable all for comprehensive analysis. Sectors : Crypto : Emphasize Morphism Flow and Future Projection for volatility. Stocks : Focus on Cohomology Bands for stable trends. Pro Tip : Disable non-essential visuals in fast markets to reduce clutter. 🌫️ Field Transparency, 🔄 Web Recursion Depth, 🎨 Mesh Color Scheme : What They Are : Adjust visual clarity, complexity, and color. How They Work : Enhance interpretability of visual elements. Optimization : Transparency : 30-50 for balanced visibility; lower for analysis. Recursion Depth : 6-8 for balanced detail; lower for older hardware. Color Scheme : Purple/Blue : Analytical focus. Green/Orange : Trading momentum. Pro Tip : Use Neon Purple for deep analysis; Neon Green for active trading. ⏱️ Minimum Bars Between Signals : What It Is : Minimum number of bars required between consecutive signals. How It Works : Prevents signal clustering by enforcing a cooldown period. Optimization : Higher Values (10-20) : Fewer signals, avoids whipsaws, suited for swing trading. Lower Values (0-5) : More responsive, allows quick reversals, ideal for scalping. Timeframes : Scalping : 0-2 bars for rapid signals. Day Trading : 3-5 bars for balance. Swing Trading : 5-10 bars for stability. Sectors : Crypto : 0-3 for volatility. Stocks : 5-10 for trend clarity. Forex : 3-7 for cyclical moves. Pro Tip : Increase in choppy markets to filter noise. Hardcoded Parameters Tropical, Motivic, Spectral, Perfectoid, Homotopy Inputs : Fixed to optimize performance but influence calculations (e.g., tropical_degree=4 for support levels, perfectoid_prime=5 for convergence). Optimization : Experiment with codebase modifications if advanced customization is needed, but defaults are robust across markets. 🎨 ADVANCED VISUAL SYSTEM: TRADING IN A GEOMETRIC UNIVERSE The GTTMTSF ’s visuals are direct representations of its mathematics, designed for intuitive and precise trading decisions. Motivic Cohomology Bands : What They Are : Dynamic bands ( H⁰ , H¹ , H² ) representing cohomological support/resistance. Color & Meaning : Colors reflect energy levels ( H⁰ tightest, H² widest). Breaks into H¹ signal momentum; H² touches suggest reversals. How to Trade : Use for stop-loss/profit-taking. Band bounces with Dashboard confirmation are high-probability setups. Morphism Flow (Webbing) : What It Is : White particle streams visualizing market momentum. Interpretation : Dense flows indicate strong trends; sparse flows signal consolidation. How to Trade : Follow dominant flow direction; new flows post-consolidation signal trend starts. Future Projection Web (Fractal Grid) : What It Is : Fibonacci-period fractal projections of support/resistance. Color & Meaning : Three-layer lines (white shadow, glow, colored quantum) with labels showing price, topological class, anomaly strength (φ), resonance (ρ), and obstruction ( H¹ ). ⚡ marks extreme anomalies. How to Trade : Target ⚡/● levels for entries/exits. High-anomaly levels with weakening Unified Field are reversal setups. Holographic Mesh & Spectral Flow : What They Are : Visuals of harmonic interference and spectral energy. How to Trade : Bright mesh nodes or strong Spectral Flow warn of building pressure before price movement. 📊 THE GEOMETRIC DASHBOARD: YOUR MISSION CONTROL The Dashboard translates complex mathematics into actionable intelligence. Unified Field & Signals : FIELD : Master value (-10 to +10), synthesizing all geometric components. Extreme readings (>5 or <-5) signal structural limits, often preceding reversals or continuations. RESONANCE : Measures harmony between geometric field and price-volume momentum. Positive amplifies bullish moves; negative amplifies bearish moves. SIGNAL QUALITY : Confidence meter rating alignment. Trade only STRONG or EXCEPTIONAL signals for high-probability setups. Geometric Components : What They Are : Breakdown of seven mathematical engines. How to Use : Watch for convergence. A strong Unified Field is reliable when components (e.g., Grothendieck , Topos , Motivic ) align. Divergence warns of trend weakening. Signal Performance : What It Is : Tracks indicator signal performance. How to Use : Assesses real-time performance to build confidence and understand system behavior. 🚀 DEVELOPMENT & UNIQUENESS: BEYOND CONVENTIONAL ANALYSIS The GTTMTSF was developed to analyze markets as evolving geometric objects, not statistical time-series. Why This Is Unlike Anything Else : Theoretical Depth : Uses geometry and topology, identifying patterns invisible to statistical tools. Holistic Synthesis : Integrates seven deep mathematical frameworks into a cohesive Unified Field . Creative Implementation : Translates PhD-level mathematics into functional Pine Script , blending theory and practice. Immersive Visualization : Transforms charts into dynamic geometric landscapes for intuitive market understanding. The GTTMTSF is more than an indicator; it’s a new lens for viewing markets, for traders seeking deeper insight into hidden order within chaos. " Where there is matter, there is geometry. " - Johannes Kepler — Dskyz , Trade with insight. Trade with anticipation.
Pine Script® göstergesi
DskyzInvestments tarafından
4
PriceLevels GBGoldbach Price Levels – Identify Algorithmic Key Zones This open-source indicator is designed to help traders identify potential algorithmic key zones by highlighting price levels ending with specific numbers such as 03, 11, 29, 35, 65, and 71. These levels may act as inflection points or hesitation areas based on observed behavioral patterns in price movement. What It Does: 📌 Scans and plots horizontal price levels where the price ends with one of the selected number combinations 🎯 Toggle on/off visibility for each number ending 🎨 Customize color and thickness for each level 🏷️ Shows price labels at the end of each line 🌗 Label styles (color/transparency) are adjustable for both dark and light chart themes 🧠 Why Use It: This tool is ideal for discretionary traders who study market structure through static price anchors. It provides a visual reference for recurring numerical levels that may be used in algorithmic trading models or serve as psychological price zones. ⚠️ Disclaimer: This script is open-source and intended for educational and analytical purposes only. No trading signals or performance guarantees are provided. Please use your own judgment when applying this tool in a trading context.
Pine Script® göstergesi
theunlockedtrading tarafından
6
SHYY TFC Candles_Confirmation X 4TF)SHYY Real-Time FTC Confirmation is a multi-timeframe trend alignment tool designed to provide real-time confirmation of market direction across up to four configurable timeframes. Unlike traditional tools that rely on closed candles, this version uses in-progress bars to detect live momentum, allowing traders to respond as trends are forming rather than after they are confirmed. This script checks the current price direction on each selected timeframe by comparing the current close to the open of the same candle. A timeframe is considered bullish if the close is above the open, bearish if below, and neutral if equal. If all enabled timeframes are aligned in the same direction, the current chart candle is colored accordingly. White candles indicate that all selected timeframes are currently bullish. Yellow candles indicate that all selected timeframes are currently bearish. If the timeframes are not fully aligned, the candle remains uncolored. Each of the four timeframes can be configured individually in the settings panel. Users can also enable or disable each timeframe independently using checkboxes, allowing flexibility in how the confirmation logic is applied. The script uses a single request.security() call per timeframe with lookahead enabled, so that the information shown reflects the live status of each timeframe’s bar, not just completed ones. This makes it suitable for real-time decision-making and strategy filtering. This tool can assist scalpers, trend followers, and breakout traders in aligning trades with broader market direction. It can be used as a standalone trend filter or in conjunction with other indicators and strategies. No external dependencies or overlays are required. This is an original script, built to provide real-time, multi-timeframe confirmation using a clean and efficient approach.
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shayy110 tarafından
Volume VA with POC Based Percent DeviationsThis is a slightly different take on my previous version that plotted fibonacci retracement levels based on the POC to value area high/low. This indicator is also based on the volume value area that plots developing POC, VAH, and VAL as well as historical levels. However, instead of plotting fib levels, this script automatically projects percentage deviation levels from the current POC. This can help identify potential overextensions, target areas, or mean-reversion setups. Knowing where price is and the change in price relative to areas of interest can help identify true value and market imbalances. Hence the name VALUE AREA :) The percent deviation levels are dynamically plotted in relation to the developing POC. As POC shifts so do the % levels. Gradient Value Area Fill: Instead of a static color, the Value Area is filled with a dynamic gradient. The adjustable color and transparency shift is based on the current price's distance from the POC, giving you an intuitive feel for where price is relative to the POC. Enjoy! "May the fourth leaf bring you extra luck!" 🍀
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ShamrockShane tarafından
Linear Regression Forecast (ADX Adaptive)Linear Regression Forecast (ADX Adaptive) This indicator is a dynamic price projection tool that combines multiple linear regression forecasts into a single, adaptive forecast curve. By integrating trend strength via the ADX and directional bias, it aims to visualize how price might evolve in different market environments—from strong trends to mean-reverting conditions. Core Concept: This tool builds forward price projections based on a blend of linear regression models with varying lookback lengths (from 2 up to a user-defined max). It then adjusts those projections using two key mechanisms: ADX-Weighted Forecast Blending In trending conditions (high ADX), the model follows the raw forecast direction. In ranging markets (low ADX), the forecast flips or reverts, biasing toward mean-reversion. A logistic transformation of directional bias, controlled by a steepness parameter, determines how aggressively this blending reacts to price behavior. Volatility Scaling The forecast’s magnitude is scaled based on ADX and directional conviction. When trends are unclear (low ADX or neutral bias), the projection range expands to reflect greater uncertainty and volatility. How It Works: Regression Curve Generation For each regression length from 2 to maxLength, a forward projection is calculated using least-squares linear regression on the selected price source. These forecasts are extrapolated into the future. Directional Bias Calculation The forecasted points are analyzed to determine a normalized bias value in the range -1 to +1, where +1 means strongly bullish, -1 means strongly bearish, and 0 means neutral. Logistic Bias Transformation The raw bias is passed through a logistic sigmoid function, with a user-defined steepness. This creates a probability-like weight that favors either following or reversing the forecast depending on market context. ADX-Based Weighting ADX determines the weighting between trend-following and mean-reversion modes. Below ADX 20, the model favors mean-reversion. Above 25, it favors trend-following. Between 20 and 25, it linearly blends the two. Blended Forecast Curve Each forecast point is blended between trend-following and mean-reverting values, scaled for volatility. What You See: Forecast Lines: Projected future price paths drawn in green or red depending on direction. Bias Plot: A separate plot showing post-blend directional bias as a percentage, where +100 is strongly bullish and -100 is strongly bearish. Neutral Line: A dashed horizontal line at 0 percent bias to indicate neutrality. User Inputs: -Max Regression Length -Price Source -Line Width -Bias Steepness -ADX Length and Smoothing Use Cases: Visualize expected price direction under different trend conditions Adjust trading behavior depending on trending vs ranging markets Combine with other tools for deeper analysis Important Notes: This indicator is for visualization and analysis only. It does not provide buy or sell signals and should not be used in isolation. It makes assumptions based on historical price action and should be interpreted with market context.
Pine Script® göstergesi
Tradenometry tarafından
2
Ultra VolumeVisualizes volume intensity using dynamic color gradients and percentile thresholds. Includes optional SMA, bar coloring, and adaptive liquidity boxes to highlight high- and low-volume zones in real time. Introduction The Ultra Volume indicator enhances volume analysis by categorizing volume bars into percentile-based intensity levels. It uses color-coded gradients to quickly identify periods of unusually high or low activity. The script also includes an optional simple moving average (SMA), bar coloring, and visual box overlays to highlight zones of significant liquidity shifts. Detailed Description ......... Volume Classification Volume is segmented into five tiers: Extra High, High, Medium, Normal, and Low, using percentile ranks calculated over a dynamically adjusted historical window. This segmentation adapts based on the chart's timeframe – using 100 bars for daily and 1440/minutes for intraday – allowing for consistent behavior across resolutions. ..... Color Gradients Each volume bar is colored based on its percentile category, smoothly transitioning between thresholds for visual clarity. This makes it easy to spot volume spikes or droughts relative to recent history. ..... Simple Moving Average (SMA) An optional SMA can be plotted on top of the volume bars for trend comparison and baseline reference. Its length and color are fully customizable. ..... Bar Coloring You can optionally color the chart's candlesticks to reflect the same volume intensity as the histogram bars, reinforcing visual cues across the chart. ..... Liquidity Boxes Two adaptive box systems highlight zones of increased or decreased liquidity: High Liquidity Boxes expand upward when price exceeds the previous box’s top. Low Liquidity Boxes expand downward when price breaks the previous box’s bottom. These boxes persist and auto-adjust over time unless reset, helping traders spot key zones of volume-driven price action. ..... Box Indexing A configurable index shift determines how far back in the chart the boxes originate. Setting this to 501 makes them "stick" to the candle where they were first created. ..... Data Handling A safety check ensures the script throws an error if volume data is unavailable (e.g., for some crypto or CFD symbols). ......... Summary Ultra Volume is a practical tool for traders who want more than just raw volume bars. With intelligent percentile-based classification, real-time adaptive liquidity zones, and fully customizable visual elements, it turns volume into a highly readable, actionable signal.
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Rathack tarafından
RSI of RSI Deviation (RoRD)RSI of RSI Deviation (RoRD) - Advanced Momentum Acceleration Analysis What is RSI of RSI Deviation (RoRD)? RSI of RSI Deviation (RoRD) is a insightful momentum indicator that transcends traditional oscillator analysis by measuring the acceleration of momentum through sophisticated mathematical layering. By calculating RSI on RSI itself (RSI²) and applying advanced statistical deviation analysis with T3 smoothing, RoRD reveals hidden market dynamics that single-layer indicators miss entirely. This isn't just another RSI variant—it's a complete reimagining of how we measure and visualize momentum dynamics. Where traditional RSI shows momentum, RoRD shows momentum's rate of change . Where others show static overbought/oversold levels, RoRD reveals statistically significant deviations unique to each market's character. Theoretical Foundation - The Mathematics of Momentum Acceleration 1. RSI² (RSI of RSI) - The Core Innovation Traditional RSI measures price momentum. RoRD goes deeper: Primary RSI (RSI₁) : Standard RSI calculation on price Secondary RSI (RSI²) : RSI calculated on RSI₁ values This creates a "momentum of momentum" indicator that leads price action Mathematical Expression: RSI₁ = 100 - (100 / (1 + RS₁)) RSI² = 100 - (100 / (1 + RS₂)) Where RS₂ = Average Gain of RSI₁ / Average Loss of RSI₁ 2. T3 Smoothing - Lag-Free Response The T3 Moving Average, developed by Tim Tillson, provides: Superior smoothing with minimal lag Adaptive response through volume factor (vFactor) Noise reduction while preserving signal integrity T3 Formula: T3 = c1×e6 + c2×e5 + c3×e4 + c4×e3 Where e1...e6 are cascaded EMAs and c1...c4 are volume-factor-based coefficients 3. Statistical Z-Score Deviation RoRD employs dual-layer Z-score normalization : Initial Z-Score : (RSI² - SMA) / StDev Final Z-Score : Z-score of the Z-score for refined extremity detection This identifies statistically rare events relative to recent market behavior 4. Multi-Timeframe Confluence Compares current timeframe Z-score with higher timeframe (HTF) Provides directional confirmation across time horizons Filters false signals through timeframe alignment Why RoRD is Different & More Sophisticated Beyond Traditional Indicators: Acceleration vs. Velocity : While RSI measures momentum (velocity), RoRD measures momentum's rate of change (acceleration) Adaptive Thresholds : Z-score analysis adapts to market conditions rather than using fixed 70/30 levels Statistical Significance : Signals are based on mathematical rarity, not arbitrary levels Leading Indicator : RSI² often turns before price, providing earlier signals Reduced Whipsaws : T3 smoothing eliminates noise while maintaining responsiveness Unique Signal Generation: Quantum Orbs : Multi-layered visual signals for statistically extreme events Divergence Detection : Automated identification of price/momentum divergences Regime Backgrounds : Visual market state classification (Bullish/Bearish/Neutral) Particle Effects : Dynamic visualization of momentum energy Visual Design & Interpretation Guide Color Coding System: Yellow (#e1ff00) : Neutral/balanced momentum state Red (#ff0000) : Overbought/extreme bullish acceleration Green (#2fff00) : Oversold/extreme bearish acceleration Orange : Z-score visualization Blue : HTF Z-score comparison Main Visual Elements: RSI² Line with Glow Effect Multi-layer glow creates depth and emphasis Color dynamically shifts based on momentum state Line thickness indicates signal strength Quantum Signal Orbs Green Orbs Below : Statistically rare oversold conditions Red Orbs Above : Statistically rare overbought conditions Multiple layers indicate signal strength Only appear at Z-score extremes for high-conviction signals Divergence Markers Green Circles : Bullish divergence detected Red Circles : Bearish divergence detected Plotted at pivot points for precision Background Regimes Green Background : Bullish momentum regime Grey Background : Bearish momentum regime Blue Background : Neutral/transitioning regime Particle Effects Density indicates momentum energy Color matches current RSI² state Provides dynamic market "feel" Dashboard Metrics - Deep Dive RSI² ANALYSIS Section: RSI² Value (0-100) Current smoothed RSI of RSI reading >70 : Strong bullish acceleration <30 : Strong bearish acceleration ~50 : Neutral momentum state RSI¹ Value Traditional RSI for reference Compare with RSI² for acceleration/deceleration insights Z-Score Status 🔥 EXTREME HIGH : Z > threshold, statistically rare bullish ❄️ EXTREME LOW : Z < threshold, statistically rare bearish 📈 HIGH/📉 LOW : Elevated but not extreme ➡️ NEUTRAL : Normal statistical range MOMENTUM Section: Velocity Indicator ▲▲▲ : Strong positive acceleration ▼▼▼ : Strong negative acceleration Shows rate of change in RSI² Strength Bar ██████░░░░ : Visual power gauge Filled bars indicate momentum strength Based on deviation from center line SIGNALS Section: Divergence Status 🟢 BULLISH DIV : Price making lows, RSI² making highs 🔴 BEARISH DIV : Price making highs, RSI² making lows ⚪ NO DIVERGENCE : No divergence detected HTF Comparison 🔥 HTF EXTREME : Higher timeframe confirms extremity 📊 HTF NORMAL : Higher timeframe is neutral Critical for multi-timeframe confirmation Trading Application & Strategy Signal Hierarchy (Highest to Lowest Priority): Quantum Orb + HTF Alignment + Divergence Highest conviction reversal signal Z-score extreme + timeframe confluence + divergence Quantum Orb + HTF Alignment Strong reversal signal Wait for price confirmation Divergence + Regime Change Medium-term reversal signal Monitor for orb confirmation Threshold Crosses Traditional overbought/oversold Use as alert, not entry Entry Strategies: For Reversals: Wait for Quantum Orb signal Confirm with HTF Z-score direction Enter on price structure break Stop beyond recent extreme For Continuations: Trade with regime background color Use RSI² pullbacks to center line Avoid signals against HTF trend For Scalping: Focus on Z-score extremes Quick entries on orb signals Exit at center line cross Risk Management: Reduce position size when signals conflict with HTF Avoid trades during regime transitions (blue background) Tighten stops after divergence completion Scale out at statistical mean reversion Development & Uniqueness RoRD represents months of research into momentum dynamics and statistical analysis. Unlike indicators that simply combine existing tools, RoRD introduces several genuine innovations : True RSI² Implementation : Not a smoothed RSI, but actual RSI calculated on RSI values Dual Z-Score Normalization : Unique approach to finding statistical extremes T3 Integration : First RSI² implementation with T3 smoothing for optimal lag reduction Quantum Orb Visualization : Revolutionary signal display method Dynamic Regime Detection : Automatic market state classification Statistical Adaptability : Thresholds adapt to market volatility This indicator was built from first principles, with each component carefully selected for its mathematical properties and practical trading utility. The result is a professional-grade tool that provides insights unavailable through traditional momentum analysis. Best Practices & Tips Start with default settings - they're optimized for most markets Always check HTF alignment before taking signals Use divergences as early warning , orbs as confirmation Respect regime backgrounds - trade with them, not against Combine with price action - RoRD shows when, price shows where Adjust Z-score thresholds based on market volatility Monitor dashboard metrics for complete market context Conclusion RoRD isn't just another indicator—it's a complete momentum analysis system that reveals market dynamics invisible to traditional tools. By combining momentum acceleration, statistical analysis, and multi-timeframe confluence with intuitive visualization, RoRD provides traders with a sophisticated edge in any market condition. Whether you're scalping rapid reversals or positioning for major trend changes, RoRD's unique approach to momentum analysis will transform how you see and trade market dynamics. See momentum's future. Trade with statistical edge. Trade with insight. Trade with anticipation. — Dskyz, for DAFE Trading Systems
Pine Script® göstergesi
DskyzInvestments tarafından
4
[Smith] VWAP Deviation + VWAP Deviation + Short Description: Advanced VWAP indicator with deviation bands, smart signal filtering, and session-based performance tracking. Features log-space scaling, RSI confirmation, volume filters, and market regime detection. Full Description: The VWAP Deviation + is a comprehensive trading indicator that combines Volume Weighted Average Price (VWAP) analysis with advanced signal filtering to identify high-probability trade opportunities. This indicator goes beyond basic VWAP by incorporating multiple confirmation layers and intelligent market analysis. 🎯 Key Features Core VWAP Analysis: - Custom volume-weighted mean calculation with deviation bands (2σ and 3σ) - Optional log-space scaling for proportional price movements - Real-time VWAP line with customizable visibility Smart Signal Detection: - RSI confirmation for all trade signals - Volume filter requiring above-average trading activity - Market regime detection (trending vs ranging markets) - Optional RSI divergence analysis Advanced Filtering: - Multi-condition signal validation - Session-based performance tracking (Asian, London, NY) - Real-time win rate calculation - Strong vs regular signal classification Visual Features: - Clean, professional interface with customizable colors - Optional signal shapes and annotations - Performance statistics table - Filled deviation bands for easy visualization 📊 How It Works The indicator identifies trade opportunities when: 1. Price touches VWAP deviation bands (2σ or 3σ) 2. RSI confirms oversold/overbought conditions 3. Volume exceeds the specified threshold 4. Market regime conditions are favorable Signal Types: - LONG : Price at lower bands + RSI oversold + volume confirmation - SHORT : Price at upper bands + RSI overbought + volume confirmation - STRONG : Same conditions but at 3σ bands for higher conviction trades ⚙️ Customization Options Core Settings: - VWAP length and source selection - Adjustable deviation multipliers - Log-space scaling toggle Signal Filters: - RSI length and threshold levels - Volume filter with customizable multiplier - Market type filtering options Advanced Features: - Session statistics tracking - RSI divergence detection - Market regime analysis Visual Controls: - Show/hide individual components - Custom color schemes - Signal display toggles 🔔 Alert System Built-in alerts for: - Long and short trade opportunities - Strong signal confirmations - RSI divergence signals 💡 Best Practices - Use higher timeframes (15m+) for more reliable signals - Combine with additional confirmation indicators - Pay attention to session statistics for timing optimization - Monitor market regime indicators for context This indicator is suitable for day traders, swing traders, and anyone looking to improve their VWAP-based trading strategies with advanced filtering and market analysis.
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SmithTradesBitcoin tarafından
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LTHB & HTLB Zones with AlertsIn price action trading, the Lowest Tick of the Highest Bar (LTHB) and the Highest Tick of the Lowest Bar (HTLB) are important concepts for support/resistance identification, trend exhaustion, and reversal confirmation. Here's what they mean and why they matter: 🔹 Definitions 1. Lowest Tick of the Highest Bar (LTHB): The lowest price (tick) of the bar (candlestick) with the highest high in a recent price swing. Significance: It marks the support inside an upward swing. If price breaks below this, it often indicates loss of upward momentum or reversal. 2. Highest Tick of the Lowest Bar (HTLB): The highest price of the bar with the lowest low in a swing. Significance: It acts as a resistance inside a downward swing. If price moves above this, it can signal a bullish reversal. 🔸 Why Are They Significant? Concept LTHB HTLB Trend Reversal - Break below LTHB → possible bearish reversal Break above HTLB → possible bullish reversal Swing Confirmation -Holding above LTHB → continuation of uptrend Holding below HTLB → continuation of downtrend Trap Detection - Stop hunts often occur just below LTHB Stop hunts often occur just above HTLB Risk Management -Acts as logical stop-loss in long trades Acts as logical stop-loss in short trades 🔸 Uses in Strategy 1. Breakout Traders use these levels as entry triggers. 2. Reversal Traders look for price failing to hold these levels for early reversal signs. 3. Structure-Based Traders use them to confirm higher highs/lower lows. 4. Stop Placement: Tight stops just beyond LTHB/HTLB help manage risk in swing trades. 🔔 How to Set Alerts in TradingView: Add the script to your chart. Open the "⚠️ Alerts" tab. Click "Create Alert". In the "Condition" dropdown, select one of: Enter LTHB Zone Exit LTHB Zone Enter HTLB Zone Exit HTLB Zone Set desired alert frequency (e.g., once per bar or once). Click Create.
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