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Wx Gann WindowsWx Gann Windows — Seasonal Time Windows & Forward Markers Wx Gann Windows highlights the handful of Gann-style seasonal dates that matter most, without cluttering your chart. It draws subtle “time windows” around key dates each year and optionally projects the next 12 months of dates into the future so you can keep them in mind when planning trades or options spreads. What it shows 1. Seasonal Windows (background bands) • Equinox / Solstice windows (Spring, Summer, Autumn, Winter). • Optional midpoint (cross-quarter) windows: early Feb / May / Aug / Nov. • Each window is a small number of days (default 3) centered on the approximate calendar date, with a soft background band so price action remains in focus. 2. On-Chart Labels (optional) • Small labels like “Spring Eq.”, “Winter Sol.”, “Feb Mid” printed just above the current chart’s price range. • One label per window, on the first bar of the window. 3. Future Projections (next 12 months) • For each key date, the script projects the next occurrence into the future. • Draws a vertical dotted line from near the chart low to above the chart high, plus a label such as “Spring Eq. (next)” or “Aug Mid (next)”. • This gives you a 12-month “time roadmap” for cycles-sensitive planning (e.g., options, swing trades) without manual date marking. Inputs Window Settings • Equinox / Solstice Window (days) – size of the seasonal bands (default 3 days). • Midpoint Window (days) – size of the mid-Feb / May / Aug / Nov bands. Visibility • Show Equinox & Solstice Windows – toggle main seasonal bands on/off. • Show Midpoint Windows (Feb/May/Aug/Nov) – toggle cross-quarter bands. • Show Labels (on windows) – show/hide the on-chart labels above price. Future Projections • Project Next 12 Months (future markers) – toggle the forward vertical lines + “(next)” labels. How to use it • Treat these dates as awareness windows, not prediction signals. • Use them to: • Be extra alert for potential turns, accelerations, or exhaustion. • Tighten risk or avoid opening new positions right into a window if your system suggests caution. • Plan options expiries or swing entries with time structure in mind. Always confirm decisions with your own system (trend, structure, volume, breadth, macro), not the dates alone. Notes & Disclaimer • Dates are approximate calendar anchors inspired by Gann’s seasonal and cross-quarter work, using simple ±N-day windows. • Works on any symbol and timeframe; windows are based on calendar dates, not bar count. • This tool is educational and informational only. It does not place orders and is not financial advice. Always test and integrate with your own strategy and risk management.
อินดิเคเตอร์ Pine Script®
โดย WesPX
UT Bot Alerts with R-Targets & Results< DONE BY RM ALOWAIS > Indicator Overview This indicator provides rule-based BUY and SELL signals with automatic risk management levels. Each trade setup includes a predefined Stop Loss and up to three Take Profit targets (TP1, TP2, TP3), allowing traders to manage risk and scale exits systematically. How It Works BUY and SELL signals are generated based on internal market conditions. Each signal plots: Entry point Stop Loss (SL) Take Profit levels (TP1, TP2, TP3) After price action completes, the indicator displays the actual result of the trade: Result: TP1 / TP2 / TP3 / SL Exit labels may appear when a trade is closed early due to invalidation or opposite conditions. Key Features Non-repainting signals Built-in risk-to-reward structure Visual trade tracking with clear outcomes Suitable for intraday and swing trading Works on multiple markets and timeframes Usage Notes This indicator is a decision-support tool, not financial advice. Best results are achieved when used with proper risk management and higher-timeframe confirmation. Performance may vary depending on market conditions (trend vs range). Disclaimer This script is provided for educational and informational purposes only. The author is not responsible for any financial losses. Always test and validate before using in live trading.
อินดิเคเตอร์ Pine Script®
โดย RMALOWAIS
2
VIX Option Hedge Monitor# VIX Option Hedge Monitor Inspired by Cem Karsan The VIX Option Hedge Monitor is a specialized indicator designed to detect unusual hedging activity in VIX call options that may signal impending market volatility or potential market crashes. By monitoring deep out-of-the-money (OTM) VIX calls that are 1-2weeks out—typically 150-170% OTM with premiums around $0.05-$0.10—this indicator identifies when institutional players are aggressively hedging for tail risk events. ## What It Does This indicator tracks the intraday percentage change of a specific VIX option contract from its daily opening price and provides two distinct alert levels: - **🟠 Orange Alert (200%+ increase)**: "Increased Hedging" - Indicates elevated hedging activity - **🔴 Red Alert (400%+ increase)**: "Crash Imminent" - Suggests extreme hedging behavior often seen before major market dislocations ## Why This Matters Deep OTM VIX calls are typically used by institutional investors as insurance against severe market crashes. When these options suddenly spike in price, it often indicates that sophisticated market participants are positioning for significant volatility. Historically, extreme spikes in these types of options have preceded major market corrections. ## How to Use ### Initial Setup 1. **Add the Indicator** - Open TradingView and click on "Indicators" at the top of your chart - Search for "VIX Option Hedge Monitor" - Click to add it to your chart 2. **Find Your VIX Option Ticker** - Go to VIX options chain in TradingView - Find an expiration date that is more than 1 week out but less than 4 weeks out - Locate a call strike approximately 168% OTM (these typically trade at $0.05-$0.10) - Note the exact option ticker symbol (e.g., VIX260121C37.0) 3. **Configure the Indicator** - Click on the gear icon next to "VIX Option Hedge Monitor" in your indicator list - In the "VIX Option Symbol" field, paste your option ticker - Adjust thresholds if desired (default: 200% orange, 400% red) - Click "OK" ### Setting Up Alerts (Recommended) 1. Click the three dots (⋮) next to the indicator name 2. Select "Add alert on VIX Option Hedge Monitor" 3. Choose your alert condition: - "Increased Hedging Alert" for the 200% threshold - "Crash Hedge Behavior Alert" for the 400% threshold 4. Configure how you want to receive alerts (popup, email, SMS, etc.) 5. Click "Create" ### Ongoing Maintenance **Rolling to New Expiration:** When your current option is within 7 days of expiration, you'll need to update to a new option: 1. Find a new VIX call option meeting the criteria (1-3 weeks out, ~168% OTM) 2. Open the indicator settings (gear icon) 3. Update the "VIX Option Symbol" field with the new ticker 4. Click "OK" The indicator will immediately begin tracking the new option. ## Understanding the Display ### Info Table (Top Right) - **Option**: Current option ticker being monitored - **Current Price**: Real-time option price - **Day Open**: Option's opening price for the current trading day - **% Change**: Percentage increase from day open - **Status**: Current alert level (Normal, Increased Hedging, or Crash Imminent) ### Chart Elements - **Blue Line**: Option price movement - **White Line**: Percentage change from daily open - **Orange Dashed Line**: 200% threshold marker - **Red Dashed Line**: 400% threshold marker - **Triangle Markers**: Appear when thresholds are crossed - **Background Color**: Changes to orange or red when alerts are triggered ## Settings & Customization ### Adjustable Parameters **VIX Option Symbol** (Required) - The exact ticker of the VIX option you want to monitor - Must be updated manually when rolling to new expirations - Example: VIX250131C00055000 **Orange Alert Threshold** (Default: 200%) - Percentage increase from day open to trigger "Increased Hedging" alert - Adjust higher for fewer false positives or lower for earlier warnings **Red Alert Threshold** (Default: 400%) - Percentage increase from day open to trigger "Crash Imminent" alert - Represents extreme hedging behavior **Show % Change Line** (Default: On) - Toggle visibility of the percentage change line **Show Price Line** (Default: On) - Toggle visibility of the option price line ## Trading Strategy Considerations ### This Indicator Is: - A early warning system for potential market volatility - A tool to monitor institutional hedging behavior - Most effective when combined with other technical and fundamental analysis ### This Indicator Is NOT: - A standalone trading signal - A guarantee of market crashes - A timing tool (alerts may come hours or days before events) ### Best Practices: 1. **Don't trade solely on this indicator** - Use it as one input among many 2. **Monitor throughout the day** - Set alerts but also check manually 3. **Consider market context** - High VIX environments may see more false signals 4. **Roll options weekly** - Keep your monitored option in the 1-3 week window 5. **Track multiple strikes** - Consider monitoring 2-3 different strikes for confirmation ## Technical Notes - The indicator uses daily open as the baseline for percentage calculations - Price data refreshes based on your chart timeframe - Works best on intraday timeframes (1min - 15min) for quick alerts - Requires TradingView access to options data for the ticker you specify ## Interpretation Guide **Normal Operation** (0-199% increase) - Market functioning normally - Standard hedging activity - No action required **Increased Hedging** (200-399% increase) - Heightened caution warranted - Consider reviewing portfolio hedges - Monitor closely for further escalation - May indicate near-term volatility concerns **Crash Imminent** (400%+ increase) - Extreme hedging activity detected - Institutional players positioning for severe downside - Consider defensive positioning - Review stop losses and portfolio allocation - Historical precedent suggests elevated crash risk ## Limitations - Requires manual option ticker updates - Cannot automatically select optimal strikes - Low liquidity options may show erratic price movements - False signals possible during high volatility periods - Past performance does not guarantee future results ## Support & Updates For questions, suggestions, or to report issues, please leave a comment on the indicator page. ## Disclaimer This indicator is for informational and educational purposes only. It does not constitute financial advice, investment recommendations, or trading signals. Always conduct your own research and consult with a qualified financial advisor before making investment decisions. Options trading carries significant risk and may not be suitable for all investors. --- **Version**: 1.0 **Last Updated**: January 2026 **Compatible With**: TradingView Pine Script v5
อินดิเคเตอร์ Pine Script®
โดย surfgurujeff
ICT/SMC HUDOverview This indicator is an ICT/SMC-inspired market structure tool that detects: Swing Structure (pivot-based) BOS (Break of Structure) and CHoCH (Change of Character) Liquidity Sweeps (buy-side & sell-side) Premium/Discount filter using a simple equilibrium (EQ) midpoint A Hold Score (0–5) system calculated from a higher timeframe (HTF) Optional TP/SL visualization box (with TP2 expansion when Hold Score is strong) ⚠️ This is an educational tool, not a guaranteed trading system. Core Logic (Where signals come from) This script builds a simplified ICT/SMC framework using 3 layers: 1) Market Structure via Swings (Pivot High/Low) The script finds swing highs/lows using: ta.pivothigh(high, swingLen, swingLen) ta.pivotlow(low, swingLen, swingLen) These swings become the reference points for structure breaks. 2) BOS / CHoCH Detection BOS Up = price closes above the last swing high BOS Down = price closes below the last swing low trend updates to 1 (bullish) or -1 (bearish) based on BOS CHoCH triggers when BOS occurs against the current trend CHoCH Up = trend was bearish, then BOS Up happens CHoCH Down = trend was bullish, then BOS Down happens 3) Liquidity Sweep + Premium/Discount Filter Sell-side sweep: low breaks below last swing low, but closes back above it Buy-side sweep: high breaks above last swing high, but closes back below it Equilibrium (EQ) midpoint is: (lastSwingHigh + lastSwingLow) / 2 Discount = price below EQ Premium = price above EQ Signal Rules (Buy / Sell) Buy Signal Sell-side sweep + (CHoCH Up or BOS Up) OR BOS Up while price is in Discount Sell Signal Buy-side sweep + (CHoCH Down or BOS Down) OR BOS Down while price is in Premium Hold Score System (0–5) — HTF confirmation The script calculates a Hold Score from HTF using 5 checks: HTF EMA Bias Bullish hold bias: EMA Fast > EMA Mid Bearish hold bias: EMA Fast < EMA Mid Volatility Expansion Uses HTF Bollinger Band width; if width is increasing, expansion is “OK” Mid Acceptance HTF close relative to HTF BB basis (SMA) Follow-through after Entry Requires N consecutive bars closing in favor of the entry direction No Opposite Break Avoid holding if opposite BOS/CHoCH appears Hold Score = sum of the 5 checks (0–5) TP/SL Box (Optional) When a new Buy/Sell signal occurs: Entry is set at current close SL uses: Swing-based stop (lowest/ highest of last N bars) optional ATR buffer TP1 and TP2 are set using Risk:Reward ratios TP2 Expansion (Optional) If Hold Score ≥ threshold: TP2 RR increases by extraRRonHold Can be set to expand only (never shrink) Auto-hide TP/SL Drawings (Optional) If enabled, the TP/SL box/lines/labels will automatically disappear after N bars. This is useful for clean charts while still keeping Hold Score logic running. Best Use Cases ✅ Works best during liquidity sessions: London Killzone New York Killzone ✅ Recommended timeframes: Structure: 15m / 1h Entry refinement: 5m / 1m Hold Score HTF: 1h or 4h Inputs Guide (Quick) Swing length (Structure): controls swing sensitivity (higher = fewer swings) Hold Score HTF: HTF used for Hold Score confirmation TP/SL Box: visualization tool, not order execution Auto-hide: removes drawings after N bars for clean charts TP2 Expand: increases TP2 target when Hold Score is strong Disclaimer This indicator does not place trades and does not guarantee profits. Always manage risk, backtest, and validate with your own strategy.
อินดิเคเตอร์ Pine Script®
โดย Roongee
ICT IPDA LookbackThis description is tailored for the TradingView community, using the specific terminology associated with Michael Huddleston's (ICT) Interbank Price Delivery Algorithm (IPDA). 📜 TradingView Indicator Description ICT IPDA Lookback Engine (20-40-60 Day Cycles) Overview This indicator automates the IPDA Data Range lookback periods as taught by Michael J. Huddleston (ICT). In the Interbank Price Delivery Algorithm, time is the primary filter. The algorithm references specific lookback windows—20, 40, and 60 trading days—to seek liquidity and rebalance inefficiencies. Instead of manually counting bars every morning, this tool plots precise vertical anchors to help you identify the Institutional Order Flow and the "Draw on Liquidity" (DOL) within the current dealing range. 🛠️ Key Features Rolling Lookback Anchors: Automatically plots red vertical lines at the 20, 40, and 60-day intervals. Time-Based Accuracy: Calculated using calendar-adjusted trading days to ensure the lines land on the correct institutional data points, regardless of weekends or holidays. Multi-Asset Support: Works seamlessly across Forex, Futures, Indices, and Commodities. Real-Time Movement: The lines shift dynamically with the current candle, maintaining the exact IPDA window as the algorithm processes new data. 💡 How to Use (ICT IPDA Logic) Define the Context: Look back at the 20-day range (Short-term), 40-day range (Intermediate-term), and 60-day range (Long-term). Identify PD Arrays: Use these vertical lines to anchor your search for Old Highs/Lows, Fair Value Gaps (FVG), and Order Blocks (OB) within those specific windows. Determine Premium vs. Discount: Check where the current price sits relative to the Highs and Lows of these three ranges to establish your Daily Bias. Quarterly Shifts: Monitor how price reacts as it reaches the extremity of the 60-day lookback, often signaling a potential "Quarterly Shift" in institutional direction. 📖 Technical Details Indicator Type: Overlay Calculations: Uses timenow and millisecond conversion for precise "Calendar Day" placement. Best Timeframes: Designed for the Daily (1D) chart but can be used on lower timeframes (H4, H1, M15) to visualize the higher-timeframe data ranges while scalping.
อินดิเคเตอร์ Pine Script®
โดย jellylungs
HMA Pro Flow [Mladen] + SignalsThis indicator is an enhanced version of the classic Hull Moving Average (HMA), based on the logic developed by Mladen. It improves upon the standard HMA by allowing users to adjust the "speed" of the curve using a custom Divisor, and it integrates a secondary Trend Filter to generate high-probability entries and distinct exit signals. The script is designed to help traders identify the trend direction while filtering out noise during choppy markets. How It Works 1. The "Mladen" Calculation The standard Hull Moving Average uses a fixed formula involving a divisor of 2 (n/2). This script exposes that divisor as a variable input. 2. Dual-HMA System This indicator runs two separate HMA calculations simultaneously: Entry HMA (Fast): Reacts quickly to price changes to generate immediate signals. Trend Filter (Slow): A longer-term HMA used to determine the overall market bias. Signal Logic The indicator generates three types of signals based on the alignment of the Fast Entry HMA and the Slow Trend Filter. 🟢 BUY Signal (Green Label) Condition: The Fast HMA turns green (rising) AND the Trend Filter is also green (rising). Meaning: Momentum and Trend are aligned. Safe to enter Long. 🔴 SELL Signal (Red Label) Condition: The Fast HMA turns red (falling) AND the Trend Filter is also red (falling). Meaning: Momentum and Trend are aligned. Safe to enter Short. ❌ STOP / CLOSE Signal (Orange 'X') Condition: The Fast HMA changes color, but it conflicts with the Trend Filter. Example (Long): You are in a Buy trade. The Fast HMA turns Red, but the Trend Filter is still Green. Meaning: This is likely a pullback, not a reversal. The indicator suggests closing the current position (Stop) but does not issue a signal to reverse into a new position. This prevents getting trapped in counter-trend trades. Settings Entry HMA Settings Entry Period: Length of the fast signal line (Default: 14). Entry Divisor: Controls smoothness. Lower values (e.g., 0.1) result in a very smooth line; higher values result in sharper turns. Trend Filter Settings Use Trend Filter: If unchecked, the indicator acts like a standard HMA (Buying/Selling on every color change). Filter Period: Length of the slow trend line (Default: 300). Show Filter: Toggles the visibility of the thick trend line on the chart. Visuals Toggle visibility for Buy, Sell, and Stop signals individually to keep your chart clean. Credits Original HMA logic by Alan Hull. Variable divisor concept adapted from Mladen's work on MT4/MT5. Custom pine scripting for trend filtering and signal logic - Vdubus
อินดิเคเตอร์ Pine Script®
โดย vdubus
5
CJ Oscillator Matrix PRO (Flow + Momentum + Heatmap)CJ Oscillator Matrix PRO is not a buy/sell signal indicator and does not follow price candle by candle. It is a market context and momentum analysis tool designed to help traders understand trend strength, impulse, and overall market conditions. This indicator combines momentum (TSI) and money flow (CMF) into a single oscillator, while the heatmap background highlights when the market is balanced or extended. Strong colors represent high pressure or potential exhaustion zones, not automatic entries or reversals. Use this tool to: Identify trend direction and strength Understand impulse vs. consolidation Avoid chasing price during extended moves Add context to your technical analysis Best used alongside price action, structure, EMAs, and risk management. This indicator does not predict price — it helps you understand market behavior.
อินดิเคเตอร์ Pine Script®
โดย CriptoJald
PLOW/PLHW (Potential weekly highs/lows)AP Capital – PLOW / PLHW (Potential Weekly Low / High) This indicator highlights Potential Weekly Lows (PLOW) and Potential Weekly Highs (PLHW) in real time, using current-week price action, session context, and confirmed candle closes. It is designed for intraday and swing traders who want early-week and late-week structure levels without repainting or hindsight bias. 🔹 How It Works Potential Weekly Low (PLOW) Detected during early week sessions Triggers when price prints the current week’s lowest low Confirmed only on candle close Typically aligns with liquidity grabs, stop runs, or accumulation Potential Weekly High (PLHW) Detected during late week sessions Triggers when price prints the current week’s highest high Confirmed only on candle close Often marks distribution or exhaustion zones 📊 Visual Elements Clean weekly high & low levels Optional weekly midpoint Session-aware confirmation Non-repainting labels Minimalist layout (no clutter) ⚙️ Key Features Works on any intraday timeframe Fully non-repainting Session-based logic (early vs late week) Optional weekly range info panel Suitable for Gold, FX, Indices, Crypto 🧠 Best Use Cases Fade moves into weekly extremes Combine with: Previous Day High / Low Liquidity sweeps Market structure shifts Identify high-probability reversals Avoid chasing price late in the week ⚠️ Important Notes This is NOT predictive — levels are confirmed from live price action Best used as context, not a standalone entry system Designed to complement price action & liquidity-based trading 📌 Disclaimer This indicator is for educational purposes only. Not financial advice. Always manage risk.
อินดิเคเตอร์ Pine Script®
โดย APCapitalTrading
Bullish, Bearish, & Normal RSI1. Identifying "True" Momentum (The Aqua/Fuchsia Logic)The most useful part of this script is the comparison between the three lines.Bullish Conviction (Aqua): When both the Bullish and Bearish lines are above the Normal RSI, it suggests that even on "down" candles (red candles), the price isn't losing significant ground. The overall structure is buoyant.Bearish Conviction (Fuchsia): When both are below the Normal RSI, it indicates that even when you get "up" candles (green candles), they lack the strength to lift the average momentum. The sellers are effectively "smothering" the bounces. 2. Spotting Hidden Weakness/Strength (Spread Analysis)The "Spread" (the gap between rsiBull and rsiBear) provides a unique utility:ScenarioInterpretationUtilityWide SpreadHigh volatility and indecision. Green candles are very strong, but red candles are also very weak.Avoid trend-following; wait for a "squeeze" or narrowing.Tight SpreadHigh agreement in price action. Most candles are moving in a similar direction or with similar intensity.Great for identifying stable, trending moves with low noise.Bull/Bear CrossIf the Bullish RSI crosses above the Bearish RSI significantly.Can act as an early entry signal before the Standard RSI hits the 50-midline. 3. Practical Strategy Use CasesFilter for Breakouts: If you see a price breakout but the RSI color remains Gray, the move might lack "conviction." You ideally want to see the color flip to Aqua (for long) or Fuchsia (for short) as the breakout occurs.Exhaustion Signal: If the Normal RSI is overbought ($>70$) but the rsiBull begins to dip toward the rsiNormal, it suggests that the "green candle strength" is waning even if the price is staying high—a potential warning of a reversal.Potential Drawbacks to WatchLag: Like all RSI-based indicators, this is lagging. Because you are using a 14-period lookback on three different calculations, it may take a few bars to confirm a sentiment shift.Whipsaw in Sideways Markets: In a tight range-bound market, the color may flip between Aqua and Fuchsia rapidly, creating "noise."Pro-Tip: This indicator would be most effective when used in conjunction with Volume. If you get an "Aqua" signal on rising volume, the probability of a sustained trend is significantly higher.
อินดิเคเตอร์ Pine Script®
โดย GTR511
Multi Cycles Slope-Fit System MLMulti Cycles Predictive System : A Slope-Adaptive Ensemble Executive Summary: The MCPS-Slope (Multi Cycles Slope-Fit System) represents a paradigm shift from static technical analysis to adaptive, probabilistic market modeling. Unlike traditional indicators that rely on a single algorithm with fixed settings, this system deploys a "Mixture of Experts" (MoE) ensemble comprising 13 distinct cycle and trend algorithms. Using a Gradient-Based Memory (GBM) learning engine, the system dynamically solves the "Cycle Mode" problem by real-time weighting. It aggressively curve-fits the Slope of component cycles to the Slope of the price action, rewarding algorithms that successfully predict direction while suppressing those that fail. This is a non-repainting, adaptive oscillator designed to identify market regimes, pinpoint high-probability reversals via OB/OS logic, and visualize the aggregate consensus of advanced signal processing mathematics. 1. The Core Philosophy: Why "Slope" Matters: In technical analysis, most traders focus on Levels (Price is above X) or Values (RSI is at 70). However, the primary driver of price action is Momentum, which is mathematically defined as the Rate of Change, or the Slope. This script introduces a novel approach: Slope Fitting. Instead of asking "Is the cycle high or low?", this system asks: "Is the trajectory (Slope) of this cycle matching the trajectory of the price?" The Dual-Functionality of the Normalized Oscillator The final output is a normalized oscillator bounded between -1.0 and +1.0. This structure serves two critical functions simultaneously: Directional Bias (The Slope): When the Combined Cycle line is rising (Positive Slope), the aggregate consensus of the 13 algorithms suggests bullish momentum. When falling (Negative Slope), it suggests bearish momentum. The script measures how well these slopes correlate with price action over a rolling lookback window to assign confidence weights. Overbought / Oversold (OB/OS) Identification: Because the output is mathematically clipped and normalized: Approaching +1.0 (Overbought): Indicates that the top-weighted algorithms have reached their theoretical maximum amplitude. This is a statistical extreme, often preceding a mean reversion or trend exhaustion. Approaching -1.0 (Oversold): Indicates the aggregate cycle has reached maximum bearish extension, signaling a potential accumulation zone. Zero Line (0.0): The equilibrium point. A cross of the Zero Line is the most traditional signal of a trend shift. 2. The "Mixture of Experts" (MoE) Architecture: Markets are dynamic. Sometimes they trend (Trend Following works), sometimes they chop (Mean Reversion works), and sometimes they cycle cleanly (Signal Processing works). No single indicator works in all regimes. This system solves that problem by running 13 Algorithms simultaneously and voting on the outcome. The 13 "Experts" Inside the Code: All algorithms have been engineered to be Non-Repainting. Ehlers Bandpass Filter: Extracts cycle components within a specific frequency bandwidth. Schaff Trend Cycle: A double-smoothed stochastic of the MACD, excellent for cycle turning points. Fisher Transform: Normalizes prices into a Gaussian distribution to pinpoint turning points. Zero-Lag EMA (ZLEMA): Reduces lag to track price changes faster than standard MAs. Coppock Curve: A momentum indicator originally designed for long-term market bottoms. Detrended Price Oscillator (DPO): Removes trend to isolate short-term cycles. MESA Adaptive (Sine Wave): Uses Phase accumulation to detect cycle turns. Goertzel Algorithm: Uses Digital Signal Processing (DSP) to detect the magnitude of specific frequencies. Hilbert Transform: Measures the instantaneous position of the cycle. Autocorrelation: measures the correlation of the current price series with a lagged version of itself. SSA (Simplified): Singular Spectrum Analysis approximation (Lag-compensated, non-repainting). Wavelet (Simplified): Decomposes price into approximation and detail coefficients. EMD (Simplified): Empirical Mode Decomposition approximation using envelope theory. 3. The Adaptive "GBM" Learning Engine This is the "Machine Learning" component of the script. It does not use pre-trained weights; it learns live on your chart. How it works: Fitting Window: On every bar, the system looks back 20 days (configurable). Slope Correlation: It calculates the correlation between the Slope of each of the 13 algorithms and the Slope of the Price. Directional Bonus: It checks if the algorithm is pointing in the same direction as the price. Weight Optimization: Algorithms that match the price direction and correlation receive a higher "Fit Score." Algorithms that diverge from price action are penalized. A "Softmax" style temperature function and memory decay allow the weights to shift smoothly but aggressively. The Result: If the market enters a clean sine-wave cycle, the Ehlers and Goertzel weights will spike. If the market explodes into a linear trend, ZLEMA and Schaff will take over, suppressing the cycle indicators that would otherwise call for a premature top. 4. How to Read the Interface: The visual interface is designed for maximum information density without clutter. The Dashboard (Bottom Left - GBM Stats) Combined Fit: A percentage score (0-100%). High values (>70%) mean the system is "Locked In" and tracking price accurately. Low values suggest market chaos/noise. Entropy: A measure of disorder. High entropy means the algorithms disagree (Neutral/Chop). Low entropy means the algorithms are unanimous (Strong Trend). Top 1 / Top 3 Weight: Shows how concentrated the decision is. If Top 1 Weight is 50%, one algorithm is dominating the decision. The Matrix (Bottom Right - Weight Table) This table lifts the hood on the engine. Fit Score: How well this specific algo is performing right now. Corr/Dir: Raw correlation and Direction Match stats. Weight: The actual percentage influence this algorithm has on the final line. Cycle: The current value of that specific algorithm. Regime: Identifies if the consensus is Bullish, Bearish, or Neutral. The Chart Overlay The Line: The Gradient-Colored line is the Weighted Ensemble Prediction. Green: Bullish Slope. Red: Bearish Slope. Triangles: Zero-Cross signals (Bullish/Bearish). "STRONG" Labels: Appears when the cycle sustains a value above +0.5 or below -0.5, indicating strong momentum. Background Color: Changes subtly to reflect the aggregate Regime (Strong Up, Bullish, Neutral, Bearish, Strong Down). 5. Trading Strategies: A. The Slope Reversal (OB/OS Fade) Concept: Catching tops and bottoms using the -1/+1 normalization. Signal: Wait for the Combined Cycle to reach extreme values (>0.8 or <-0.8). Trigger: The entry is taken not when it hits the level, but when the Slope flips. Short: Cycle hits +0.9, color turns from Green to Red (Slope becomes negative). Long: Cycle hits -0.9, color turns from Red to Green (Slope becomes positive). B. The Zero-Line Trend Join Concept: Joining an established trend after a correction. Signal: Price is trending, but the Cycle pulls back to the Zero line. Trigger: A "Triangle" signal appears as the cycle crosses Zero in the direction of the higher timeframe trend. C. Divergence Analysis Concept: Using the "Fit Score" to identify weak moves. Signal: Price makes a Higher High, but the Combined Cycle makes a Lower High. Confirmation: Check the GBM Stats table. If "Combined Fit" is dropping while price is rising, the trend is decoupling from the cycle logic. This is a high-probability reversal warning. 6. Technical Configuration: Fitting Window (Default: 20): The number of bars the ML engine looks back to judge algorithm performance. Lower (10-15) for scalping/quick adaptation. Higher (30-50) for swing trading and stability. GBM Learning Rate (Default: 0.25): Controls how fast weights change. High (>0.3): The system reacts instantly to new behaviors but may be "jumpy." Low (<0.15): The system is very smooth but may lag in regime changes. Max Single Weight (Default: 0.55): Prevents one single algorithm from completely hijacking the system, ensuring an ensemble effect remains. Slope Lookback: The period over which the slope (velocity) is calculated. 7. Disclaimer & Notes: Repainting: This indicator utilizes closed bar data for calculations and employs non-repainting approximations of SSA, EMD, and Wavelets. It does not repaint historical signals. Calculations: The "ML" label refers to the adaptive weighting algorithm (Gradient-based optimization), not a neural network black box. Risk: No indicator guarantees future performance. The "Fit Score" is a backward-looking metric of recent performance; market regimes can shift instantly. Always use proper risk management. Author's Note The MCPS-Slope was built to solve the frustration of "indicator shopping." Instead of switching between an RSI, a MACD, and a Stochastic depending on the day, this system mathematically determines which one is working best right now and presents you with a single, synthesized data stream. If you find this tool useful, please leave a Boost and a Comment below!
อินดิเคเตอร์ Pine Script®
โดย jaydesaigu
Crypto Session Range 📄 INDICATOR DESCRIPTION (ENGLISH) Crypto Session Range (Custom Timezone) is a lightweight and accurate session-based indicator designed specifically for cryptocurrency markets (24/7). This indicator allows traders to define custom trading time windows using any global timezone, solving common issues found in traditional session indicators that are built for stock markets. 🔹 Key Features Custom timezone support (e.g. America/Puerto_Rico, America/New_York, UTC) Up to 3 configurable trading sessions Visual background highlighting during active sessions Automatic High & Low range tracking for each session Optional range extension after the session ends Works on all crypto pairs and timeframes 🔹 Who Is This For? Crypto traders who want precise session control Day traders, scalpers, and session-based strategies Traders who operate during specific market windows (London / NY / custom) 🔹 Notes This indicator is not restricted to exchange trading hours and is fully compatible with 24/7 markets like crypto, unlike many default session tools.
อินดิเคเตอร์ Pine Script®
โดย YanzaCrypto
Multi Cycles Predictive System ML - GBM IntegratedMulti-Cycle Predictive System: The Gradient Boosting Machine (GBM) Revolution Introduction: The Death of Static Analysis The financial markets are not static; they are a living, breathing, and chaotic system. Yet, for decades, traders have relied on static indicators—using the same RSI settings, the same MACD parameters, and the same Moving Averages regardless of whether the market is trending, chopping, or crashing. The Multi-Cycle Predictive System (MCPS) represents a paradigm shift. It is not just an indicator; it is an Adaptive Machine Learning Engine running directly on your chart. By integrating a fully functional Gradient Boosting Machine (GBM), this script does not guess—it learns. It monitors 13 distinct algorithmic models, calculates their real-time accuracy against future price action, and dynamically reallocates influence to the "winning" models using gradient descent. This is Survival of the Fittest applied to technical analysis. 1. The Core Engine: Gradient Boosting & Adaptive Learning At the heart of the MCPS is a custom-coded Gradient Boosting Machine. While most "ML" scripts on TradingView simply average a few indicators, this system replicates the architecture of advanced data science models. How the GBM Works: Ensemble Prediction: The system aggregates signals from 13 different mathematical models. Residual Calculation: It compares the ensemble's previous predictions against the actual price movement (Price Return) to calculate the error (Residual). Gradient Descent: It calculates the gradient of the loss function. We utilize a Huber Loss Gradient, which is robust against outliers (market spikes), ensuring the model doesn't overreact to volatility. Weight Optimization: Using a configurable learning rate, the system updates the weights of each sub-algorithm. Models that predicted correctly gain weight; models that failed lose influence. Softmax Normalization: Finally, weights are passed through a Softmax function (with Temperature control) to convert them into probabilities that sum to 1.0. The "Winner-Takes-All" Philosophy A common failure in ensemble systems is "Signal Dilution"—where good signals are drowned out by bad ones. The MCPS solves this with Aggressive Weight Concentration: Top 3 Logic: The script identifies the top 3 performing algorithms based on historical accuracy. The 90% Rule: It forces the system to allocate up to 90% of the total decision weight to these top 3 performers. Result: If Ehlers and Schaff are reading the market correctly, but MACD is failing, MACD is effectively silenced. The system listens only to the winners. 2. The 13 Algorithmic Pillars The MCPS draws from a diverse library of Digital Signal Processing (DSP), Statistical, and Momentum algorithms. It does not rely on simple moving averages. Ehlers Bandpass Filter: Isolates the dominant cycle in price data, removing trend and noise. Zero-Lag EMA (ZLEMA): Reduces lag to near-zero to track momentum shifts instantly. Coppock Curve: A classic long-term momentum indicator, modified here for adaptive responsiveness. Detrended Price Oscillator (DPO): Eliminates the trend to identify short-term cycles. Schaff Trend Cycle (STC): A double-smoothed stochastic of the MACD, excellent for identifying cycle turns. Fisher Transform: Converts price into a Gaussian normal distribution to pinpoint turning points. MESA Adaptive: Uses Maximum Entropy Spectral Analysis to detect the current dominant cycle period. Goertzel Algorithm: A DSP technique used to identify the magnitude of specific frequency components in the price wave. Hilbert Transform: Extracts the instantaneous amplitude and phase of the price action. Autocorrelation: Measures the similarity between the price series and a lagged version of itself to detect periodicity. Singular Spectrum Analysis (SSA): Decomposes the time series into trend, seasonal, and noise components (Simplified). Wavelet Transform: Analyzes data at different scales (frequencies) simultaneously. Empirical Mode Decomposition (EMD): Splits data into Intrinsic Mode Functions (IMFs) to isolate pure cycles. 3. The Dashboard: Total Transparency Black-box algorithms are dangerous. You need to know why a signal is being generated. The MCPS features two detailed dashboards (tables) located at the bottom of your screen. The Weight & Accuracy Table (Bottom Right) This is your "Under the Hood" view. It displays: Algorithm: The name of the model. Accuracy: The rolling historical accuracy of that specific model over the lookback period (e.g., 58.2%). Weight: The current influence that model has on the final signal. Watch this change in real-time. You will see the system "giving up" on bad models and "betting heavy" on good ones. Prob/Sig: The raw probability and directional signal (Up/Down). The GBM Stats Table (Bottom Left) Tracks the health of the Machine Learning engine: Iterations: How many learning cycles have occurred. Entropy: A measure of market confusion. High entropy means weights are spread out (models disagree). Low entropy means the models are aligned. Top 3 Weight: Shows how concentrated the decision power is. If this is >80%, the system is highly confident in specific models. Confidence & Agreement: Statistical measures of the signal strength. 4. How to Trade with MCPS This system outputs a single, composite Cycle Line (oscillating between -1 and 1) and a background Regime Color. Strategy A: The Zero-Cross (Trend Reversal) Bullish: When the Cycle Line crosses above 0. This indicates that the weighted average of the top-performing algorithms has shifted to a net-positive expectation. Bearish: When the Cycle Line crosses below 0. Strategy B: Probability Extremes (Mean Reversion) Strong Buy: When the Cycle Line drops below -0.5 (Oversold) and turns up. This indicates a high-probability cycle bottom. Strong Sell: When the Cycle Line rises above +0.5 (Overbought) and turns down. Strategy C: Regime Filtering The background color changes based on the aggregate consensus: Green/Lime: Bullish Regime. Look primarily for Long entries. Ignore weak sell signals. Red/Orange: Bearish Regime. Look primarily for Short entries. Gray: Neutral/Choppy. Reduce position size or wait. 5. Configuration & GBM Settings The script is highly customizable for advanced users who want to tune the Machine Learning hyperparameters. Prediction Horizon: How many days into the future are we trying to predict? (Default: 3). Accuracy Lookback: How far back does the model check to calculate "Accuracy"? GBM Learning Rate: Controls how fast the model adapts. High (0.2+): Adapts instantly to new market conditions but may be "jumpy." Low (0.05): Very stable, long-term adaptation. Temperature: Controls the "Softmax" function. Higher temperatures allow for softer, more distributed weights. Lower temperatures force a "Winner Takes All" outcome. Max Top 3 Weight: The cap on how much power the top 3 models can hold (Default: 90%). 6. Technical Nuances (For the Geeks) Huber Gradient: We use Huber loss rather than MSE (Mean Squared Error) for the gradient descent. This is crucial for financial time series because price spikes (outliers) can destroy the learning process of standard ML models. Huber loss transitions from quadratic to linear error, making the model robust. Regularization: L2 Regularization is applied to prevent overfitting, ensuring the model doesn't just memorize past noise. Memory Decay: The model has a "fading memory." Recent accuracy is weighted more heavily than accuracy from 200 bars ago, allowing the system to detect Regime Shifts (e.g., transitioning from a trending market to a ranging market). Disclaimer: This tool is a sophisticated analytical instrument, not a crystal ball. Machine Learning attempts to optimize probabilities based on historical patterns, but no algorithm can predict black swan events or fundamental news shocks. Always use proper risk management. The "Warmup Period" is required. The script needs to process 50 bars of history before the GBM engine initializes and produces signals. Author's Note: I built the MCPS because I was tired of indicators that stopped working when the market "personality" changed. By integrating GBM, this script adapts to the market's personality in real-time. If the market is cycling, Ehlers and Goertzel take over. If the market is trending, Coppock and ZLEMA take the lead. You don't have to choose—the math chooses for you. Please leave a boost and a comment if you find this helpful!
อินดิเคเตอร์ Pine Script®
โดย jaydesaigu
AiQ Drama Channel [VIP MEMBER ONLY]AiQ PREMIUM Designed by KS AiQ PREMIUM is not just an indicator; it is a complete, visually immersive trading ecosystem designed for traders who demand precision, aesthetics, and data-driven confidence. Built upon advanced Fractal Adaptive Moving Average (FRAMA) logic and fused with a proprietary volatility engine, AiQ PREMIUM filters out market noise to reveal high-probability institutional setups. 💎 Core Features 1. DRAMA Volatility Engine (D-FRAMA) Unlike standard Moving Averages, our adaptive algorithm adjusts to market fractal dimensions. It tightens during consolidation to avoid false signals and expands during trends to capture the full move. 2. Multi-Timeframe (MTF) Matrix Stop guessing the trend. The built-in "Trend Matrix" scans M5, M15, M30, H1, and H4 timeframes in real-time. Signals are only generated when there is a confluence of momentum. 3. AiQ Confidence Score & Win Rate The dashboard calculates a dynamic Confidence Score (1-5 Stars) based on historical performance, trend alignment, and volatility strength. ⭐⭐⭐⭐⭐ = Strong Institutional Alignment ⭐ = Risky / Counter-trend 4. Auto-Fibonacci Extensions & Risk Management Smart Entries: Clear visual signals with glassmorphism UI. Dynamic Risk: SL/TP are calculated using ATR (Average True Range) to adapt to market volatility. Auto Targets: Automatically projects TP1, TP2, TP3 (Fib 2.618), and TP4 (Fib 4.236). 5. Premium Visual Experience Choose your trading personality with our Theme Engine: 🏆 Black Gold: Luxury, high-contrast dark mode. 🦄 Cyber Neon: Modern, vibrant aesthetics. ⚪ Clean Quant: Minimalist institutional look. 🛠️ How to Use Wait for the Signal: Look for the 🚀 LONG SETUP or 🚀 SHORT SETUP badge. Check the Stars: Ideally, take trades with 3 stars or above on the dashboard. Confirm with Matrix: Ensure the MTF Matrix (Top Right) shows "BULL" for Longs or "BEAR" for Shorts on higher timeframes (H1/H4). Manage the Trade: Secure partial profits at ✅ TP1. Move SL to Breakeven at ✅ TP2. Let runners fly to ✅ TP3 and ✅ TP4. ⚠️ Disclaimer - Trading involves high risk. This tool is designed to assist your analysis, not to replace it. Past performance is not indicative of future results. Always use proper risk management.
อินดิเคเตอร์ Pine Script®
โดย KS0919
6
Zig Zag ++ SG (Premium)🔥 Zig Zag ++ SG Professional Market Structure & Cycle Analyzer Zig Zag ++ SG is an advanced, research-grade market structure indicator built on top of a refined ZigZag engine, designed for traders and investors who want to understand price cycles, not chase candles. This is not a buy-sell arrow tool. It is a decision-support system used to analyze trend strength, exhaustion, pullback depth, and cycle behavior across any market and timeframe. 🧠 What Makes Zig Zag ++ SG Different? Most ZigZag indicators only draw lines. Zig Zag ++ SG answers the real questions: Is the trend getting stronger or weaker? Are higher highs still meaningful? How deep are pullbacks in percentage terms? Which stocks recover fast vs stay weak? Is this accumulation, distribution, or reversal? It does this by combining: Market Structure (HH / HL / LH / LL) Consecutive structure counting Gain & fall percentage per swing Clean visual logic (no repaint confusion) 📌 Core Features ✅ 1. Automatic Market Structure Detection Labels every major swing as: HH – Higher High HL – Higher Low LH – Lower High LL – Lower Low This instantly shows whether the market is: Trending Consolidating Distributing Reversing ✅ 2. Consecutive Structure Count (ON by default) Each structure type is counted sequentially: HH (1), HH (2), HH (3)… HL (1), HL (2)… This reveals: Trend maturity Exhaustion zones Early breakdown warnings Example: HH (4) = trend may be overextended HL (3) = healthy trend continuation ✅ 3. Gain & Fall % on Every Swing (ON by default) Every HH, HL, LH, LL shows: Exact % move from the previous pivot This allows you to: Compare pullback depth across stocks Identify leaders (shallow HLs) Spot weak stocks (deep HLs / LHs) Study cycle symmetry Example label: HL (2) -6.4% ✅ 4. Clean, Readable Visual Design 🟩 Green labels → White text 🟥 Red labels → High-contrast white text Optional background trend shading (OFF by default) Works perfectly in dark & light mode Designed for long chart study sessions, not flashy screenshots. ✅ 5. Safe Repaint Logic (Transparent by Design) Uses ZigZag logic intentionally No fake “non-repainting” claims Ideal for analysis, research & planning What you see is structurally correct This indicator is for thinking traders, not signal chasers. ⚙️ Best Settings (Recommended) 🔹 Intraday Trading Timeframe: 5m / 15m Depth: 8–10 Deviation: 3–5 Backstep: 2 🔹 Swing Trading (Most Popular) Timeframe: Daily Depth: 12–15 Deviation: 5 Backstep: 2 🔹 Long-Term / Investing Timeframe: Weekly Depth: 15–20 Deviation: 5–8 Backstep: 3 💡 Tip: Lower depth = more swings Higher depth = cleaner, major cycles 📈 How to Use Zig Zag ++ SG (Practically) 🔹 Trend Strength HH (3+) + HL (2–3) → Strong, healthy trend 🔹 Exhaustion Warning HH (4+) → Risk of distribution or slowdown 🔹 Pullback Quality HL −3% to −7% → Strong stock HL −12% to −20% → Weak hands / fragile trend 🔹 Reversal Confirmation LH followed by LL (2+) → Trend change likely 🧪 Who Is This Indicator For? ✅ Swing traders ✅ Positional traders ✅ Long-term investors ✅ Market structure students ✅ Stock researchers ✅ Anyone tired of noisy indicators ❌ Not for: People wanting instant buy/sell arrows Scalpers chasing 1-minute signals “Magic indicator” seekers 💎 Why This Is Worth Purchasing Built with Pine Script v6 best practices Solves real market questions Helps avoid: Buying late Selling early Holding weak stocks too long Encourages process-driven trading One-time learning tool you’ll use for years Most traders lose money not because of entries — but because they misread structure and cycles. Zig Zag ++ SG fixes that.
อินดิเคเตอร์ Pine Script®
โดย SilentCompounder
10
Free cash flow yield (Quarterly)Indicator: Free Cash Flow Yield (Quarterly) — Technical Description Purpose This indicator plots Free Cash Flow Yield (FCF Yield) using quarterly fundamentals and optionally adjusts it for dilution. It also computes trailing averages over multiple horizons (in quarters) to give a long-term valuation context. Data Sources All fundamentals are pulled from TradingView’s financial dataset using: request.financial(syminfo.tickerid, , "FQ", barmerge.gaps_on) Where: "FQ" = Quarterly frequency barmerge.gaps_on = keeps values as step-like series (updates only when new quarterly data is available) Financial fields used: FREE_CASH_FLOW (FCF) ENTERPRISE_VALUE (EV) TOTAL_SHARES_OUTSTANDING DILUTED_SHARES_OUTSTANDING Market cap is derived (not pulled directly in this version): marketCap = totalSharesOutstanding * close (Only used as a reference in the script; the yield itself is based on EV.) Core Calculation 1) FCF Yield (Net) The base yield is: FCF Yield ( % ) = FCF Enterprise Value × 100 FCF Yield(%)= Enterprise Value FCF ​ ×100 Implementation detail: If FCF is na or EV is na or EV == 0, the result is set to na to avoid division errors. Dilution Adjustment (Optional Series) 2) Dilution Ratio The script estimates dilution impact using: dilutionRatio = Total Shares Outstanding Diluted Shares Outstanding dilutionRatio= Diluted Shares Outstanding Total Shares Outstanding ​ Notes: If dilutedSharesOutstanding is missing or zero, the ratio becomes na. 3) Diluted FCF Yield If the ratio indicates dilution (<= 1), yield is scaled down: FCF Yield Diluted = FCF Yield × dilutionRatio FCF Yield Diluted=FCF Yield×dilutionRatio Else (ratio > 1 or na), the script defaults to the net yield: FCF Yield Diluted = FCF Yield FCF Yield Diluted=FCF Yield Practical interpretation: More dilution → lower ratio → lower diluted yield. If dilution fields are not reliable for a ticker, the script falls back to the base yield. Plotting Two series are shown: FCF Yield Net: plotted as columns (bars) FCF Yield Diluted: plotted as an area overlay This makes it easy to see: Step changes when new quarter data arrives Whether dilution meaningfully reduces the yield Labels (Per-bar) When fcfYieldDiluted > 0, the script prints the value as a percentage label at the yield level. Important technical point: Since fcfYieldDiluted is computed as a number like 8.5 for 8.5%, labels convert to percent format by dividing by 100 before formatting: str.tostring(fcfYieldDiluted / 100, format.percent) Rolling History & Averages 1) Rolling storage The script maintains a rolling array of the most recent 40 quarterly values: 40 quarters ≈ 10 years Each time a non-NA quarterly yield appears: It pushes it into the array If array length exceeds 40, it removes the oldest value 2) Trailing averages (quarter windows) Averages are computed over the most recent N quarters: 1Q (latest quarter value) 4Q ≈ 1 year 8Q ≈ 2 years 20Q ≈ 5 years 40Q ≈ 10 years If fewer than N values exist, that average is na. End-of-chart Summary Label On the last bar (barstate.islast), the script draws a summary label containing the trailing averages listed above. Placement logic The label is positioned slightly to the right of the current bar: Uses frequencyUnit (estimated number of chart bars per quarter) to offset the label into the future. frequencyUnit is computed as: frequencyUnit ≈ Seconds in 12 months Seconds per chart bar ÷ 4 frequencyUnit≈ Seconds per chart bar Seconds in 12 months ​ ÷4 This is only for visual spacing, not calculation correctness. Limitations / Notes The yield series is “step-like” and updates only when new quarterly fundamentals are available. For some tickers, TradingView fundamentals (especially diluted shares) can be missing or inconsistent; the script protects against this by returning na or falling back to the net yield. EV-based yield can differ from market-cap-based yield; EV includes debt and cash effects, so it’s closer to an “all-capital” valuation measure.
อินดิเคเตอร์ Pine Script®
โดย mfeldyriza
MTF 4MA Direction Dashboard and TF AlignmentThe MTF 4MA Direction Dashboard is a multi-timeframe trend-alignment tool designed to answer one core trading question: Are higher and lower timeframes pointing in the same direction — and how strong is that alignment? Instead of relying on a single chart timeframe, this indicator evaluates directional consistency across five timeframes simultaneously using a fast 4-period moving average. The result is a weighted directional score, expressed as Bull/Bear percentages and summarized with a clear letter grade and interpretation. This makes the indicator ideal as a trend filter, bias confirmation tool, or higher-timeframe context engine for discretionary and systematic traders alike. How It Works For each selected timeframe (default: 1H, 4H, 1D, 1W, 1M): A 4-period moving average is calculated (user-selectable MA type). The indicator determines direction by comparing the current MA value to the prior bar: Rising MA → Bullish Falling MA → Bearish Each timeframe contributes to a weighted score, allowing higher timeframes to carry more influence if desired. The combined result is converted into: Bull % Bear % Letter Grade (A–F) Plain-English interpretation All results are displayed in a compact, customizable on-chart dashboard. Dashboard Metrics Explained Aligned TFs Shows how many timeframes are bullish vs bearish. Bull % / Bear % Weighted directional confidence across all timeframes. Grade (A–F) A structured summary of alignment strength: A → Strong bullish alignment B → Constructive bullish bias C → Transitional / mixed conditions D → Weak structure F → Bearish or poorly aligned Grade Condition & Interpretation Explicit thresholds and a clear contextual reading of current market structure. How to Use This Indicator This is not an entry signal by itself. It is best used as a context and confirmation tool. Common use cases include: ✅ Trend Filtering Only take long trades when Bull % is elevated (e.g., Grade A or B). ✅ Multi-Timeframe Confirmation Confirm that lower-timeframe setups agree with higher-timeframe structure. ✅ Bias Control Reduce over-trading during mixed or transitional conditions (Grade C/D). ✅ Risk Management Context Scale position size or aggressiveness based on alignment strength. Ideal Trading Conditions This indicator performs best in: Trending or structurally developing markets Swing trading and position trading Higher-timeframe-aware intraday strategies Markets where directional follow-through matters more than noise During highly choppy or mean-reverting conditions, grades will naturally compress toward the middle — providing a visual cue to reduce directional exposure. Customization & Controls Select MA type (SMA, EMA, RMA, WMA) Adjust timeframe importance via custom weights Fully customizable table colors and position Toggle dashboard visibility on/off This flexibility allows the indicator to be adapted to different assets, trading styles, and risk preferences. Final Notes The MTF 4MA Direction Dashboard is designed to bring clarity to multi-timeframe analysis by transforming raw directional data into a structured, readable decision framework. Use it to align trades with structure, avoid fighting dominant trends, and maintain consistency across timeframes.
อินดิเคเตอร์ Pine Script®
โดย Dinjin
Cloud Gold TrendTrend Filter (Ichimoku): If the price is above the cloud (Kumo), look only for "Long" signals. If it is below, look only for "Short" signals. Entry Signal (Bollinger): When the price touches the Lower Band while you are above the Cloud, it could be a great buying point in an uptrend. Volatility Confirmation: If the Bollinger Bands squeeze within the cloud, get ready for a strong directional move as soon as the price breaks one of the two levels.
อินดิเคเตอร์ Pine Script®
โดย Aplanet33