Inizia

Bande e canali

Smart Money Visual Suite [ALFANAR_Q8]📈 Smart Money Visual Suite 🔒 Read-only visual indicator – no entry/exit signals, purely for Smart Money concept analysis. Features: 🔄 CHoCH and BOS for market structure shifts 🎯 Inducement and Sweeps to highlight liquidity targets 🔁 Zigzag to clarify price action waves 💡 RSI Divergence to detect potential reversals 🟩 Demand Zones (green) & 🟥 Supply Zones (red), designed for dark theme charts 🧠 Built on Smart Money principles – perfect for traders seeking clean visual structure and liquidity analysis. 🚫 No buy/sell signals – this tool is for visual market structure interpretation only.
Indicatore Pine Script®
di HamidAlfanar
Candle Trend PowerThe Candle Trend Power is a custom technical indicator designed for advanced trend analysis and entry signal generation. It combines multiple smoothing methods, candle transformations, and volatility bands to visually and analytically enhance your trading decisions. 🔧 Main Features: 📉 Custom Candle Types It transforms standard OHLC candles into one of several advanced types: Normal Candles, Heikin-Ashi, Linear Regression, Rational Quadratic (via kernel filtering), McGinley Dynamic Candles These transformations help traders better see trend continuations and reversals by smoothing out market noise. 🧮 Smoothing Method for Candle Data Each OHLC value can be optionally smoothed using: EMA, SMA, SMMA (RMA), WMA, VWMA, HMA, Mode (Statistical mode) Or no smoothing at all. This flexibility is useful for customizing to different market conditions. 📊 Volatility Bands Volatility-based upper and lower bands are calculated using: Band = price ± (price% + ATR * multiplier) They help identify overbought/oversold zones and potential reversal points. 📍 Candle Color Logic Each candle is colored: Cyan (#00ffff) if it's bullish and stronger than the previous candle Red (#fd0000) if it's bearish and weaker Alternating bar index coloring improves visual clarity. 📈 Trend Momentum Labels The script includes a trend strength estimation using a smoothed RSI: If the candle is bullish, it shows a BUY label with the overbought offset. If bearish, it shows a SELL label with the oversold offset. These labels are dynamic and placed next to the bar. 📍 Signal Markers It also plots triangles when the price crosses the volatility bands: Triangle up for potential long Triangle down for potential short ✅ Use Case Summary This script is mainly used for: Visual trend confirmation with enhanced candles Volatility-based entry signals RSI-based trend momentum suggestions Integrating different smoothing & transformation methods to fine-tune your strategy It’s a flexible tool for both manual traders and automated system developers who want clear, adaptive signals across different market conditions. 💡 What's Different 🔄 Candle Type Transformations ⚙️ Custom Candle Smoothing 📉 Candle's Multi-level Volatility Bands 🔺 Dynamic Entry Signals (Buy/Sell Labels) ❗Important Note: This script is provided for educational purposes and does not constitute financial advice. Traders and investors should conduct their research and analysis before making any trading decisions.
Indicatore Pine Script®
di erdas0
Scalper's Fractal Cloud with RSI + VWAP + MACD (Fixed)Scalper’s Fractal Confluence Dashboard 1. Purpose of the Indicator This TradingView indicator script provides a high-confluence setup for scalping and day trading. It blends momentum indicators (RSI, MACD), trend bias tools (EMA Cloud, VWAP), and structure (fractal swings, gap zones) to help confirm precise entries and exits. 2. Components of the Indicator - EMA Cloud (50 & 200 EMA): Trend bias – green means bullish, red means bearish. Avoid longs under red cloud. - VWAP: Institutional volume anchor. Ideal entries are pullbacks to VWAP in direction of trend. - Gap Zones: Shows open-air zones (white space) where price can move fast. Used to anticipate momentum moves. - ZigZag Swings: Marks structural pivots (highs/lows) – useful for stop placement and range anticipation. - MACD Histogram: Shows bullish or bearish momentum via background color. - RSI: Overbought (>70) or oversold (<30) warnings. Good for exits or countertrend reversion plays. - EMA Spread Label: Quick view of momentum strength. Wide spread = strong trend. 3. Scalping Entry Checklist Before entering a trade, confirm these conditions: • • Bias: EMA cloud color supports trade direction • • Price is above/below VWAP (confirming institutional flow) • • MACD histogram matches direction (green for long, red for short) • • RSI not at extreme (unless you’re fading trend) • • If entering gap zone, expect fast move • • Recent swing high/low nearby for target or stop 4. Risk & Sizing Guidelines Risk 1–2% of account per trade. Place stop below recent swing low (for longs) or high (for shorts). Use fractional sizing near VWAP or white space zones for scalping reversals. 5. Daily Trade Journal Template - Date: - Ticker: - Setup Type (VWAP pullback, Gap Break, EMA reversion): - Entry Time: - Bias (Green/Red Cloud): - RSI Level / MACD Reading: - Stop Loss: - Target: - Result (P/L): - What I Did Well: - What Needs Work:
Indicatore Pine Script®
di krstobond
Kase Permission StochasticOverview The Kase Permission Stochastic indicator is an advanced momentum oscillator developed from Kase's trading methodology. It offers enhanced signal smoothing and filtering compared to traditional stochastic oscillators, providing clearer entry and exit signals with fewer false triggers. How It Works This indicator calculates a specialized stochastic using a multi-stage smoothing process: Initial stochastic calculation based on high, low, and close prices Application of weighted moving averages (WMA) for short-term smoothing Progressive smoothing through differential factors Final smoothing to reduce noise and highlight significant trend changes The indicator oscillates between 0 and 100, with two main components: Main Line (Green): The smoothed stochastic value Signal Line (Yellow): A further smoothed version of the main line Signal Generation Trading signals are generated when the main line crosses the signal line: Buy Signal (Green Triangle): When the main line crosses above the signal line Sell Signal (Red Triangle): When the main line crosses below the signal line Key Features Multiple Smoothing Algorithms: Uses a combination of weighted and exponential moving averages for superior noise reduction Clear Visualization: Color-coded lines and background filling Reference Levels: Horizontal lines at 25, 50, and 75 for context Customizable Colors: All visual elements can be color-customized Customization Options PST Length: Base period for the stochastic calculation (default: 9) PST X: Multiplier for the lookback period (default: 5) PST Smooth: Smoothing factor for progressive calculations (default: 3) Smooth Period: Final smoothing period (default: 10) Trading Applications Trend Confirmation: Use crossovers to confirm entries in the direction of the prevailing trend Reversal Detection: Identify potential market reversals when crossovers occur at extreme levels Range-Bound Markets: Look for oscillations between overbought and oversold levels Filter for Other Indicators: Use as a confirmation tool alongside other technical indicators Best Practices Most effective in trending markets or during well-defined ranges Combine with price action analysis for better context Consider the overall market environment before taking signals Use longer settings for fewer but higher-quality signals The Kase Permission Stochastic delivers a sophisticated approach to momentum analysis, offering a refined perspective on market conditions while filtering out much of the noise that affects standard oscillators.
Indicatore Pine Script®
di AlgoCollective
Green*DiamondGreen*Diamond (GD1) Unleash Dynamic Trading Signals with Volatility and Momentum Overview GreenDiamond is a versatile overlay indicator designed for traders seeking actionable buy and sell signals across various markets and timeframes. Combining Volatility Bands (VB) bands, Consolidation Detection, MACD, RSI, and a unique Ribbon Wave, it highlights high-probability setups while filtering out noise. With customizable signals like Green-Yellow Buy, Pullback Sell, and Inverse Pullback Buy, plus vibrant candle and volume visuals, GreenDiamond adapts to your trading style—whether you’re scalping, day trading, or swing trading. Key Features Volatility Bands (VB): Plots dynamic upper and lower bands to identify breakouts or reversals, with toggleable buy/sell signals outside consolidation zones. Consolidation Detection: Marks low-range periods to avoid choppy markets, ensuring signals fire during trending conditions. MACD Signals: Offers flexible buy/sell conditions (e.g., cross above signal, above zero, histogram up) with RSI divergence integration for precision. RSI Filter: Enhances signals with customizable levels (midline, oversold/overbought) and bullish divergence detection. Ribbon Wave: Visualizes trend strength using three EMAs, colored by MACD and RSI for intuitive momentum cues. Custom Signals: Includes Green-Yellow Buy, Pullback Sell, and Inverse Pullback Buy, with limits on consecutive signals to prevent overtrading. Candle & Volume Styling: Blends MACD/RSI colors on candles and scales volume bars to highlight momentum spikes. Alerts: Set up alerts for VB signals, MACD crosses, Green*Diamond signals, and custom conditions to stay on top of opportunities. How It Works Green*Diamond integrates multiple indicators to generate signals: Volatility Bands: Calculates bands using a pivot SMA and standard deviation. Buy signals trigger on crossovers above the lower band, sell signals on crossunders below the upper band (if enabled). Consolidation Filter: Suppresses signals when candle ranges are below a threshold, keeping you out of flat markets. MACD & RSI: Combines MACD conditions (e.g., cross above signal) with RSI filters (e.g., above midline) and optional volume spikes for robust signals. Custom Logic: Green-Yellow Buy uses MACD bullishness, Pullback Sell targets retracements, and Inverse Pullback Buy catches reversals after downmoves—all filtered to avoid consolidation. Visuals: Ribbon Wave shows trend direction, candles blend momentum colors, and volume bars scale dynamically to confirm signals. Settings Volatility Bands Settings: VB Lookback Period (20): Adjust to 10–15 for faster markets (e.g., 1-minute scalping) or 25–30 for daily charts. Upper/Lower Band Multiplier (1.0): Increase to 1.5–2.0 for wider bands in volatile stocks like AEHL; decrease to 0.5 for calmer markets. Show Volatility Bands: Toggle off to reduce chart clutter. Use VB Signals: Enable for breakout-focused trades; disable to focus on Green*Diamond signals. Consolidation Settings: Consolidation Lookback (14): Set to 5–10 for small caps (e.g., AEHL) to catch quick consolidations; 20 for higher timeframes. Range Threshold (0.5): Lower to 0.3 for stricter filtering in choppy markets; raise to 0.7 for looser signals. MACD Settings: Fast/Slow Length (12/26): Shorten to 8/21 for scalping; extend to 15/34 for swing trading. Signal Smoothing (9): Reduce to 5 for faster signals; increase to 12 for smoother trends. Buy/Sell Signal Options: Choose “Cross Above Signal” for classic MACD; “Histogram Up” for momentum plays. Use RSI Div + MACD Cross: Enable for high-probability reversal signals. RSI Settings: RSI Period (14): Drop to 10 for 1-minute charts; raise to 20 for daily. Filter Level (50): Set to 55 for stricter buys; 45 for sells. Overbought/Oversold (70/30): Tighten to 65/35 for small caps; widen to 75/25 for indices. RSI Buy/Sell Options: Select “Bullish Divergence” for reversals; “Cross Above Oversold” for momentum. Color Settings: Adjust bullish/bearish colors for visibility (e.g., brighter green/red for dark themes). Border Thickness (1): Increase to 2–3 for clearer candle outlines. Volume Settings: Volume Average Length (20): Shorten to 10 for scalping; extend to 30 for swing trades. Volume Multiplier (2.0): Raise to 3.0 for AEHL’s volume surges; lower to 1.5 for steady stocks. Bar Height (10%): Increase to 15% for prominent bars; decrease to 5% to reduce clutter. Ribbon Settings: EMA Periods (10/20/30): Tighten to 5/10/15 for scalping; widen to 20/40/60 for trends. Color by MACD/RSI: Disable for simpler visuals; enable for dynamic momentum cues. Gradient Fill: Toggle on for trend clarity; off for minimalism. Custom Signals: Enable Green-Yellow Buy: Use for momentum confirmation; limit to 1–2 signals to avoid spam. Pullback/Inverse Pullback % (50): Set to 30–40% for small caps; 60–70% for indices. Max Buy Signals (1): Increase to 2–3 for active markets; keep at 1 for discipline. Tips and Tricks Scalping Small Caps (e.g., AEHL): Use 1-minute charts with VB Lookback = 10, Consolidation Lookback = 5, and Volume Multiplier = 3.0 to catch $0.10–$0.20 moves. Enable Green-Yellow Buy and Inverse Pullback Buy for quick entries; disable VB Signals to focus on Green*Diamond logic. Pair with SMC+ green boxes (if you use them) for reversal confirmation. Day Trading: Try 5-minute charts with MACD Fast/Slow = 8/21 and RSI Period = 10. Enable RSI Divergence + MACD Cross for high-probability setups; set Max Buy Signals = 2. Watch for volume bars turning yellow to confirm entries. Swing Trading: Use daily charts with VB Lookback = 30, Ribbon EMAs = 20/40/60. Enable Pullback Sell (60%) to exit after rallies; disable RSI Color for cleaner candles. Check Ribbon Wave gradient for trend strength—bright green signals strong bulls. Avoiding Noise: Increase Consolidation Threshold to 0.7 on volatile days to skip false breakouts. Disable Ribbon Wave or Volume Bars if the chart feels crowded. Limit Max Buy Signals to 1 for disciplined trading. Alert Setup: In TradingView’s Alerts panel, select: “GD Buy Signal” for standard entries. “RSI Div + MACD Cross Buy” for reversals. “VB Buy Signal” for breakout plays. Set to “Once Per Bar Close” for confirmed signals; “Once Per Bar” for scalping. Backtesting: Replay on small caps ( Float < 5M, Price $0.50–$5) to test signals. Focus on “GD Buy Signal” with yellow volume bars and green Ribbon Wave. Avoid signals during gray consolidation squares unless paired with RSI Divergence. Usage Notes Markets: Works on stocks, forex, crypto, and indices. Best for volatile assets (e.g., small-cap stocks, BTCUSD). Timeframes: Scalping (1–5 minutes), day trading (15–60 minutes), or swing trading (daily). Adjust settings per timeframe. Risk Management: Combine with stop-losses (e.g., 1% risk, $0.05 below AEHL entry) and take-profits (3–5%). Customization: Tweak inputs to match your strategy—experiment in replay to find your sweet spot. Disclaimer Green*Diamond is a technical tool to assist with trade identification, not a guarantee of profits. Trading involves risks, and past performance doesn’t predict future results. Always conduct your own analysis, manage risk, and test settings before live trading. Feedback Love Green*Diamond? Found a killer setup?
Indicatore Pine Script®
di kwsatterfield1
1
Multi Dynamic EMA/SMAMultiple dynamic EMA or SMA lines that you can pick up to 5. With Legend. This script allows traders to plot up to five fully customizable moving average lines (EMA or SMA) on their chart. Each line can be configured with its own: Length (e.g., 9, 21, 50, 200) Type (EMA or SMA) Color In addition to the plotted lines, a legend table appears in the top-left corner of the chart, clearly displaying the type and length of each moving average along with a color-coded background for easy reference.
Indicatore Pine Script®
di StockMarketInsights
Stochastic Overlay - Regression Channel (Zeiierman)█ Overview The Stochastic Overlay – Regression Channel (Zeiierman) is a next-generation visualization tool that transforms the traditional Stochastic Oscillator into a dynamic price-based overlay. Instead of leaving momentum trapped in a lower subwindow, this indicator projects the Stochastic oscialltor directly onto price itself — allowing traders to visually interpret momentum, overbought/oversold conditions, and market strength without ever taking their eyes off price action. ⚪ In simple terms: ▸ The Bands = The Stochastic Oscillator — but on price. ▸ The Midline = Stochastic 50 level ▸ Upper Band = Stochastic Overbought Threshold ▸ Lower Band = Stochastic Oversold Threshold When the price moves above the midline → it’s the same as the oscillator moving above 50 When the price breaks above the upper band → it’s the same as Stochastic entering overbought. When the price reaches the lower band →, think of it like Stochastic being oversold. This makes market conditions visually intuitive. You’re literally watching the oscillator live on the price chart. █ How It Works The indicator layers 3 distinct technical elements into one clean view: ⚪ Stochastic Momentum Engine Tracks overbought/oversold conditions and directional strength using: %K Line → Momentum of price %D Line → Smoothing filter of %K Overbought/Oversold Bands → Highlight potential reversal zones ⚪ Volatility Adaptive Bands Dynamic bands plotted above and below price using: ATR * Stochastic Scaling → Creates wider bands during volatile periods & tighter bands in calm conditions Basis → Moving average centerline (EMA, SMA, WMA, HMA, RMA selectable) This means: → In strong trends: Bands expand → In consolidations: Bands contract ⚪ Regression Channel Projects trend direction with different models: Logarithmic → Captures non-linear growth (perfect for crypto or exponential stocks) Linear → Classic regression fit Adaptive → Dynamically adjusts sensitivity Leading → Projects trend further ahead (aggressive mode) Channels include: Midline → Fair value trend Upper/Lower Bounds → Deviation-based support/resistance ⚪ Heatmap - Bull & Bear Power Strength Visual heatmeter showing: % dominance of bulls vs bears (based on close > or < Band Basis) Automatic normalization regardless of timeframe Table display on-chart for quick visual insight Dynamic highlighting when extreme levels are reached ⚪ Trend Candlestick Coloring Bars auto-color based on trend filter: Above Basis → Bullish Color Below Basis → Bearish Color █ How to Use ⚪ Trend Trading → Use Band direction + Regression Channel to identify trend alignment → Longs favored when price holds above the Basis → Shorts favored when price stays below the Basis → Use the Bull & Bear heatmap to asses if the bulls or the bears are in control. ⚪ Mean Reversion → Look for price to interact with Upper or Lower Band extremes → Stochastic reaching OB/OS zones further supports reversals ⚪ Momentum Confirmation → Crossovers between %K and %D can confirm continuation or divergence signals → Especially powerful when happening at band boundaries ⚪ Strength Heatmap → Quickly visualize current buyer vs seller control → Sharp spikes in Bull Power = Aggressive buying → Sharp spikes in Bear Power = Heavy selling pressure █ Why It Useful This is not a typical Stochastic or regression tool. The tool is designed for traders who want to: React dynamically to price volatility Map momentum into volatility context Use adaptive regression channels across trend styles Visualize bull vs bear power in real-time Follow trends with built-in reversal logic █ Settings Stochastic Settings Stochastic Length → Period of calculation. Higher = smoother, Lower = faster signals. %K Smoothing → Smooths the Stochastic line itself. %D Smoothing → Smooths the moving average of %K for slower signals. Stochastic Band Band Length → Length of the Moving Average Basis. Volatility Multiplier → Controls band width via ATR scaling. Band Type → Choose MA type (EMA, SMA, WMA, HMA, RMA). Regression Channel Regression Type → Logarithmic / Linear / Adaptive / Leading. Regression Length → Number of bars for regression calculation. Heatmap Settings Heatmap Length → Number of bars to calculate bull/bear dominance. ----------------- Disclaimer The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Indicatore Pine Script®
di Zeiierman
24
Price Position Percentile (PPP) Price Position Percentile (PPP) A statistical analysis tool that dynamically measures where current price stands within its historical distribution. Unlike traditional oscillators, PPP adapts to market conditions by calculating percentile ranks, creating a self-adjusting framework for identifying extremes. How It Works This indicator analyzes the last 200 price bars (customizable) and calculates the percentile rank of the current price within this distribution. For example, if the current price is at the 80th percentile, it means the price is higher than 80% of all prices in the lookback period. The indicator creates five dynamic zones based on percentile thresholds: Extremely Low Zone (<5%) : Prices in the lowest 5% of the distribution, indicating potential oversold conditions. Low Zone (5-25%) : Accumulation zone where prices are historically low but not extreme. Neutral Zone (25-75%) : Fair value zone representing the middle 50% of the price distribution. High Zone (75-95%) : Distribution zone where prices are historically high but not extreme. Extremely High Zone (>95%) : Prices in the highest 5% of the distribution, suggesting potential bubble conditions. Mathematical Foundation Unlike fixed-threshold indicators, PPP uses a non-parametric approach: // Core percentile calculation percentile = (count_of_prices_below_current / total_prices) * 100 // Threshold calculation using built-in function p_extremely_low = ta.percentile_linear_interpolation(source, lookback, 5) p_low = ta.percentile_linear_interpolation(source, lookback, 25) p_neutral_high = ta.percentile_linear_interpolation(source, lookback, 75) p_extremely_high = ta.percentile_linear_interpolation(source, lookback, 95) Key Features Dynamic Adaptation : All zones adjust automatically as price distribution changes Statistical Robustness : Works on any timeframe and any market, including highly volatile cryptocurrencies Visual Clarity : Color-coded zones provide immediate visual context Non-parametric Analysis : Makes no assumptions about price distribution shape Historical Context : Shows how zones evolved over time, revealing market regime changes Practical Applications PPP provides objective statistical context for price action, helping traders make more informed decisions based on historical price distribution rather than arbitrary levels. Value Investment : Identify statistically significant low prices for potential entry points Risk Management : Recognize when prices reach historical extremes for profit taking Cycle Analysis : Observe how percentile zones expand and contract during different market phases Market Regime Detection : Identify transitions between accumulation, markup, distribution, and markdown phases Usage Guidelines This indicator is particularly effective when: - Used across multiple timeframes for confirmation - Combined with volume analysis for validation of extremes - Applied in conjunction with trend identification tools - Monitored for divergences between price action and percentile ranking
Indicatore Pine Script®
di mderouet
Hamid Double RSIRSI with Moving Average and Another RSI This script combines two Relative Strength Index (RSI) indicators with configurable moving averages. It allows traders to track momentum and market strength with adjustable periods for both the RSI and moving averages. The script also allows you to choose different data sources for each RSI, offering flexibility in analysis. Features: Two RSIs: One with a shorter period and another with a longer period . Moving Averages: Each RSI has its own configurable moving average . The moving averages help smooth out the RSI and provide clearer trends. Customizable Inputs: Adjust the RSI period and the length of the moving averages. You can also choose different sources for each RSI (e.g., close, open, high, low). Mid Line: A horizontal line at 50, which is commonly used as the neutral level for the RSI. It helps identify whether the RSI is above or below neutral, indicating bullish or bearish conditions. Overbought and Oversold Levels: Horizontal lines at 70 (overbought) and 30 (oversold) to highlight when the asset might be overbought or oversold according to the RSI. How it works: RSI Calculation: The script calculates two RSIs using different lengths Moving Averages: A Simple Moving Average (SMA) is applied to both RSIs to smooth their values and help identify trends. Overbought/Oversold Indicators: The script includes horizontal lines at 70 and 30 to show overbought and oversold conditions. The mid line is plotted at 50 to highlight neutral levels. This indicator is useful for traders who want to compare the behavior of two RSIs over different time periods and use the moving averages to filter out noise. The ability to customize the source data for each RSI makes this script adaptable to different trading strategies.
Indicatore Pine Script®
di Ham13870id
Larsson Line Replica (Yellow = Bullish, Blue = Bearish)📘 Interpretation with Flipped Colors 🟨 Yellow Zones – Bullish Trend • Signals uptrend confirmation. • SMMA(15) > SMMA(29) indicates upward momentum. • Ideal for: • Holding or adding to long positions • Buying pullbacks within or near the band • Ignoring short setups on lower timeframes unless reversal signals show up 🟦 Blue Zones – Bearish Trend • SMMA(15) < SMMA(29) confirms a downtrend. • Useful for: • Risk-off posture: take profits, reduce exposure • Considering short trades • Waiting out until trend flips yellow again before longing 🩶 Gray Zones – Transition / Unclear • Represents possible trend change or indecision. • Appears around crossovers. • Great time to be cautious — wait for confirmation (either yellow or blue) • Often coincides with low-volatility consolidation zones or false breakouts 📊 Timeframe Interpretation Tips (with Updated Colors) 🕰️ Weekly – Macro Regime Filter • 🟨 Yellow = Swing longs allowed • 🟦 Blue = Risk-off, short setups more reliable • Use this timeframe as your macro bias anchor • Combine with higher timeframe market structure, moving averages, or on-chain trends ⸻ 📅 Daily – Tactical Entry & Position Management • Use the slope of the bands for early momentum detection • 🟦 Blue to Yellow flips = potential trend reversal to the upside → re-enter longs, cut shorts • 🟨 Yellow to Blue flips = trend weakness or downtrend return → consider profit-taking or short setups • Great timeframe for: • Refining entries • Managing exits • Spotting trend shifts before weekly confirms ⸻ ⏱ Lower Timeframes (4H, 1H) – Execution • Treat the band like a dynamic trend channel • Enter trades in direction of the current color: • 🟨 Yellow → Buy pullbacks to the midline • 🟦 Blue → Sell bounces into the midline • Avoid trading against the band unless clear structure or divergence forms • Pair with RSI/MACD for confluence
Indicatore Pine Script®
di paiuniversum
Multi-Timeframe Anchored VWAP Valuation# Multi-Timeframe Anchored VWAP Valuation ## Overview This indicator provides a unique perspective on potential price valuation by comparing the current price to the Volume Weighted Average Price (VWAP) anchored to the start of multiple timeframes: Weekly, Monthly, Quarterly, and Yearly. It synthesizes these comparisons into a single oscillator value, helping traders gauge if the current price is potentially extended relative to significant volume-weighted levels. ## Core Concept & Calculation 1. **Anchored VWAP:** The script calculates the VWAP separately for the current Week, Month, Quarter (3 Months), and Year (12 Months), starting the calculation from the first bar of each period. 2. **Price Deviation:** It measures how far the current `close` price is from each of these anchored VWAPs. This distance is measured in terms of standard deviations calculated *within* that specific anchor period (e.g., how many weekly standard deviations the price is away from the weekly VWAP). 3. **Deviation Score (Multiplier):** Based on this standard deviation distance, a score is assigned. The further the price is from the VWAP (in terms of standard deviations), the higher the absolute score. The indicator uses linear interpolation to determine scores between the standard deviation levels (defaulted at 1, 2, and 3 standard deviations corresponding to scores of +/-2, +/-3, +/-4, with a score of 1 at the VWAP). 4. **Timeframe Weighting:** Longer timeframes are considered more significant. The deviation scores are multiplied by fixed scalars: Weekly (x1), Monthly (x2), Quarterly (x3), Yearly (x4). 5. **Final Valuation Metric:** The weighted scores from all four timeframes are summed up to produce the final oscillator value plotted in the indicator pane. ## How to Interpret and Use * **Histogram (Indicator Pane):** * The main output is the histogram representing the `Final Valuation Metric`. * **Positive Values:** Suggest the price is generally trading above its volume-weighted averages across the timeframes, potentially indicating strength or relative "overvaluation." * **Negative Values:** Suggest the price is generally trading below its volume-weighted averages, potentially indicating weakness or relative "undervaluation." * **Values Near Zero:** Indicate the price is relatively close to its volume-weighted averages. * **Histogram Color:** * The color of the histogram bars provides context based on the metric's *own recent history*. * **Green (Positive Color):** The metric is currently *above* its recent average plus a standard deviation band (dynamic upper threshold). This highlights potentially significant "overvalued" readings relative to its normal range. * **Red (Negative Color):** The metric is currently *below* its recent average minus a standard deviation band (dynamic lower threshold). This highlights potentially significant "undervalued" readings relative to its normal range. * **Gray (Neutral Color):** The metric is within its typical recent range (between the dynamic upper and lower thresholds). * **Orange Line:** Plots the moving average of the `Final Valuation Metric` itself (based on the "Threshold Lookback Period"), serving as the centerline for the dynamic thresholds. * **On-Chart Table:** * Provides a detailed breakdown for transparency. * Shows the calculated VWAP, the raw deviation multiplier score, and the final weighted (adjusted) metric for each individual timeframe (W, M, Q, Y). * Displays the current price, the final combined metric value, and a textual interpretation ("Overvalued", "Undervalued", "Neutral") based on the dynamic thresholds. ## Potential Use Cases * Identifying potential exhaustion points when the indicator reaches statistically high (green) or low (red) levels relative to its recent history. * Assessing whether price trends are supported by underlying volume-weighted average prices across multiple timeframes. * Can be used alongside other technical analysis tools for confirmation. ## Settings * **Calculation Settings:** * `STDEV Level 1`: Adjusts the 1st standard deviation level (default 1.0). * `STDEV Level 2`: Adjusts the 2nd standard deviation level (default 2.0). * `STDEV Level 3`: Adjusts the 3rd standard deviation level (default 3.0). * **Interpretation Settings:** * `Threshold Lookback Period`: Defines the number of bars used to calculate the average and standard deviation of the final metric for dynamic thresholds (default 200). * `Threshold StDev Multiplier`: Controls how many standard deviations above/below the metric's average are used to set the "Overvalued"/"Undervalued" thresholds (default 1.0). * **Table Settings:** Customize the position and colors of the data table displayed on the chart. ## Important Considerations * This indicator measures price deviation relative to *anchored* VWAPs and its *own historical range*. It is not a standalone trading system. * The interpretation of "Overvalued" and "Undervalued" is relative to the indicator's logic and calculations; it does not guarantee future price movement. * Like all indicators, past performance is not indicative of future results. Use this tool as part of a comprehensive analysis and risk management strategy. * The anchored VWAP and Standard Deviation values reset at the beginning of each respective period (Week, Month, Quarter, Year).
Indicatore Pine Script®
di Sickist
DD Keltner Channels (1-3 ATR)This indicator creates Keltner Channels with 1, 2, and 3 ATR multipliers, allowing you to visualize different volatility levels around a moving average. It's specifically created for people taking the "Deep Dip Buy" stock trading course, and attempts to provide a ready-to-go solution for those struggling with configuring the default Keltner indicator on TradingView to suit their needs for the course. Any input from students or the instructor is welcome to improve this indicator so it offers more value to those looking to learn how to trade. Features: - Uses SMA or EMA as the base (20-period default) - Displays 6 lines: +3, +2, +1, -1, -2, and -3 ATR levels - Color-coded for easy identification: • +/-1 ATR: Green • +/-2 ATR: Light Gray (thin) • +/-3 ATR: Dark Gray (thick)
Indicatore Pine Script®
di AlexBarclay
Transient Impact Model [ScorsoneEnterprises]This indicator is an implementation of the Transient Impact Model. This tool is designed to show the strength the current trades have on where price goes before they decay. Here are links to more sophisticated research articles about Transient Impact Models than this post arxiv.org and arxiv.org The way this tool is supposed to work in a simple way, is when impact is high price is sensitive to past volume, past trades being placed. When impact is low, it moves in a way that is more independent from past volume. In a more sophisticated system, perhaps transient impact should be calculated for each trade that is placed, not just the total volume of a past bar. I didn't do it to ensure parameters exist and aren’t na, as well as to have more iterations for optimization. Note that the value will change as volume does, as soon as a new candle occurs with no volume, the values could be dramatically different. How it works There are a few components to this script, so we’ll go into the equation and then the other functions used in this script. // Transient Impact Model transient_impact(params, price_change, lkb) => alpha = array.get(params, 0) beta = array.get(params, 1) lambda_ = array.get(params, 2) instantaneous = alpha * volume transient = 0.0 for t = 1 to lkb - 1 if na(volume ) break transient := transient + beta * volume * math.exp(-lambda_ * t) predicted_change = instantaneous + transient math.pow(price_change - predicted_change, 2) The parameters alpha, beta, and lambda all represent a different real thing. Alpha (α): Represents the instantaneous impact coefficient. It quantifies the immediate effect of the current volume on the price change. In the equation, instantaneous = alpha * volume , alpha scales the current bar's volume (volume ) to determine how much of the price change is due to immediate market impact. A larger alpha suggests that current volume has a stronger instantaneous influence on price. Beta (β): Represents the transient impact coefficient.It measures the lingering effect of past volumes on the current price change. In the loop calculating transient, beta * volume * math.exp(-lambda_ * t) shows that beta scales the volume from previous bars (volume ), contributing to a decaying effect over time. A higher beta indicates a stronger influence from past volumes, though this effect diminishes with time due to the exponential decay factor. Lambda (λ): Represents the decay rate of the transient impact.It controls how quickly the influence of past volumes fades over time in the transient component. In the term math.exp(-lambda_ * t), lambda determines the rate of exponential decay, where t is the time lag (in bars). A larger lambda means the impact of past volumes decays faster, while a smaller lambda implies a longer-lasting effect. So in full. The instantaneous term, alpha * volume , captures the immediate price impact from the current volume. The transient term, sum of beta * volume * math.exp(-lambda_ * t) over the lookback period, models the cumulative, decaying effect of past volumes. The total predicted_change combines these two components and is compared to the actual price change to compute an error term, math.pow(price_change - predicted_change, 2), which the script minimizes to optimize alpha, beta, and lambda. Other parts of the script. Objective function: This is a wrapper function with a function to minimize so we get the best alpha, beta, and lambda values. In this case it is the Transient Impact Function, not something like a log-likelihood function, helps with efficiency for a high iteration count. Finite Difference Gradient: This function calculates the gradient of the objective function we spoke about. The gradient is like a directional derivative. Which is like the direction of the rate of change. Which is like the direction of the slope of a hill, we can go up or down a hill. It nudges around the parameter, and calculates the derivative of the parameter. The array of these nudged around parameters is what is returned after they are optimized. Minimize: This is the function that actually has the loop and calls the Finite Difference Gradient each time. Here is where the minimizing happens, how we go down the hill. If we are below a tolerance, we are at the bottom of the hill. Applied After an initial guess, we optimize the parameters and get the transient impact value. This number is huge, so we apply a log to it to make it more readable. From here we need some way to tell if the value is low or high. We shouldn’t use standard deviation because returns are not normally distributed, an IQR is similar and better for non normal data. We store past transient impact values in an array, so that way we can see the 25th and 90th percentiles of the data as a rolling value. If the current transient impact is above the 90th percentile, it is notably high. If below the 25th percentile, notably low. All of these values are plotted so we can use it as a tool. Tool examples: The idea around it is that when impact is low, there is room for big money to get size quickly and move prices around. Here we see the price reacting in the IQR Bands. We see multiple examples where the value above the 90th percentile, the red line, corresponds to continuations in the trend, and below the 25th percentile, the purple line, corresponds to reversals. There is no guarantee these tools will be perfect, that is outlined in these situations, however there is clearly a correlation in this tool and trend. This tool works on any timeframe, daily as we saw before, or lower like a two minute. The bands don’t represent a direction, like bullish or bearish, we need to determine that by interpreting price action. We see at open and at close there are the highest values for the transient impact. This is to be expected as these are the times with the highest volume of the trading day. This works on futures as well as equities with the same context. Volume can be attributed to volatility as well. In volatile situations, more volatility comes in, and we can perceive it through the transient impact value. Inputs Users can enter the lookback value. No tool is perfect, the transient impact value is also not perfect and should not be followed blindly. It is good to use any tool along with discretion and price action.
Indicatore Pine Script®
di ScorsoneEnterprises
2
ICT & SMC Multi-Timeframe by [KhedrFX]Transform your trading experience with the ICT & SMC Multi-Timeframe by indicator. This innovative tool is designed for traders who want to harness the power of multi-timeframe analysis, enabling them to make informed trading decisions based on key market insights. By integrating concepts from the Inner Circle Trader (ICT) and Smart Money Concepts (SMC), this indicator provides a comprehensive view of market dynamics, helping you identify potential trading opportunities with precision. Key Features - Multi-Timeframe Analysis: Effortlessly switch between various timeframes (5 minutes, 15 minutes, 30 minutes, 1 hour, 4 hours, daily, and weekly) to capture the full spectrum of market movements. - High and Low Levels: Automatically calculates and displays the highest and lowest price levels over the last 20 bars, highlighting critical support and resistance zones. - Market Structure Visualization: Identifies the last swing high and swing low, allowing you to recognize current market trends and potential reversal points. - Order Block Detection: Detects significant order blocks, pinpointing areas of strong buying or selling pressure that can indicate potential market reversals. - Custom Alerts: Set alerts for when the price crosses above or below identified order block levels, enabling you to act swiftly on trading opportunities. How to Use the Indicator 1. Add the Indicator to Your Chart - Open TradingView. - Click on the "Indicators" button at the top of the screen. - Search for "ICT & SMC Multi-Timeframe by " in the search bar. - Click on the indicator to add it to your chart. 2. Select Your Timeframe - Use the dropdown menu to choose your preferred timeframe (5, 15, 30, 60, 240, D, W) for analysis. 3. Interpret the Signals - High Level (Green Line): Represents the highest price level over the last 20 bars, acting as a potential resistance level. - Low Level (Red Line): Represents the lowest price level over the last 20 bars, acting as a potential support level. - Last Swing High (Blue Cross): Indicates the most recent significant high, useful for identifying potential reversal points. - Last Swing Low (Orange Cross): Indicates the most recent significant low, providing insight into market structure. - Order Block High (Purple Line): Marks the upper boundary of a detected order block, suggesting potential selling pressure. - Order Block Low (Yellow Line): Marks the lower boundary of a detected order block, indicating potential buying pressure. 4. Set Alerts - Utilize the alert conditions to receive notifications when the price crosses above or below the order block levels, allowing you to stay informed about potential trading opportunities. 5. Implement Risk Management - Always use proper risk management techniques. Consider setting stop-loss orders based on the identified swing highs and lows or the order block levels to protect your capital. Conclusion The ICT & SMC Multi-Timeframe by indicator is an essential tool for traders looking to enhance their market analysis and decision-making process. By leveraging multi-timeframe insights, market structure visualization, and order block detection, you can navigate the complexities of the market with confidence. Start using this powerful indicator today and take your trading to the next level. ⚠️ Trade Responsibly This tool helps you analyze the market, but it’s not a guarantee of profits. Always do your own research, manage risk, and trade with caution.
Indicatore Pine Script®
di KhedrFX
Nifty 1m EMA Pullback Scalper Signals ### **Master the Market with the Sniper Scalping Strategy for Nifty (1-Minute Timeframe)** Unlock the power of precision trading with this expertly crafted **Sniper Scalping Strategy**, designed specifically for the Nifty index on a lightning-fast 1-minute timeframe. Perfect for traders who thrive on quick decisions and small, consistent profits, this strategy combines multiple indicators to deliver razor-sharp entries and exits—ideal for India’s dynamic market. #### **Why This Strategy Stands Out** - **Pinpoint Accuracy**: Harness the synergy of the **5 EMA and 10 EMA crossover** to lock onto the short-term trend, while the **Stochastic Oscillator (14,3,3)** times your entries and exits with surgical precision. - **Fast and Effective**: Tailored for the 1-minute chart, this strategy capitalizes on Nifty’s volatility, targeting **10-point profits** with a tight **5-point stop-loss**—keeping your risk low and rewards high. - **Trend + Momentum**: Blend trend-following (EMAs) with momentum signals (Stochastic) for a robust, multi-dimensional approach that cuts through market noise. #### **How It Works** - **Buy Signal**: Enter long when the 5 EMA crosses above the 10 EMA and the Stochastic rises above 20—catching the uptrend at its sweet spot. - **Sell Signal**: Go short when the 5 EMA dips below the 10 EMA and the Stochastic falls below 80—riding the downtrend with confidence. - **Exit Like a Pro**: Take profits at 10 points or when the Stochastic hits overbought/oversold extremes, ensuring you’re in and out before the market shifts. #### **Perfect for Nifty Scalpers** Built for the fast-paced world of Nifty trading, this strategy shines during high-volatility sessions like the market open or global overlaps. Whether you’re a beginner honing your skills or a seasoned trader seeking consistency, the Sniper Scalping Strategy offers a clear, actionable framework to scalp profits with discipline and precision. #### **Get Started** Test it in a demo account, refine it to your style, and watch your scalping game soar. Trade smart, stay focused, and let the Sniper Scalping Strategy turn Nifty’s 1-minute moves into your edge!
Indicatore Pine Script®
di rahul52das
Log Regression Oscillator Channel [BigBeluga] This unique overlay tool blends logarithmic trend analysis with dynamic oscillator behavior. It projects RSI, MFI, or Stochastic lines directly into a log regression channel on the price chart — offering an intuitive way to detect overbought/oversold momentum within the broader price structure. 🔵Key Features: Logarithmic Regression Channel: ➣ Draws a trend-based channel using logarithmic regression, adapting to price growth curvature over time. ➣ Features upper, lower, and optional midline boundaries to visualize trend flow and range extremes. Oscillator Overlay (RSI / MFI / Stochastic): ➣ Projects your chosen oscillator inside the channel using dynamic polylines. ➣ Allows switching between RSI, Money Flow Index, or Stochastic for versatile momentum insight. Threshold-Based Scaling: ➣ The top and bottom of the channel represent traditional oscillator thresholds (e.g., RSI 70/30). ➣ Users can modify the scale in settings to customize what "overbought" or "oversold" means visually. Signal Line Integration: ➣ Adds a yellow moving average (signal line) for smoother confirmation of oscillator turns. ➣ Helps identify divergence, momentum shifts, and fakeouts with better clarity. Live Oscillator Readout: ➣ Displays the real-time oscillator value at the right edge of the chart. ➣ Ensures traders stay aware of current momentum levels without switching panels. 🔵Usage: Momentum Context: ➣ When the oscillator touches the upper regression band, it may signal local overbought pressure. ➣ Touching the lower band may indicate oversold conditions within the current log trend. Divergence Detection: ➣ Use the oscillator’s behavior relative to the channel slope to spot divergence from price. ➣ For example, RSI rising inside a falling channel can flag early trend shifts. Trend-Sensitive Entries: ➣ Combine oscillator signals with log channel direction to filter trades in trend alignment. ➣ Signal line crossovers inside the channel act as early warning for momentum turns. The Log Regression Oscillator Channel transforms how traders view classic momentum tools. By embedding oscillators into a logarithmic trend structure, it offers unmatched clarity on momentum positioning relative to price expansion. Ideal for swing traders, mean-reverters, or trend followers looking to sharpen entries and exits with style.
Indicatore Pine Script®
di BigBeluga
29
Volume Flow with Bollinger Bands and EMA Cross SignalsThe Volume Flow with Bollinger Bands and EMA Cross Signals indicator is a custom technical analysis tool designed to identify potential buy and sell signals based on several key components: Volume Flow: This component combines price movement and trading volume to create a signal that indicates the strength or weakness of price movements. When the price is rising with increasing volume, it suggests strong buying activity, whereas falling prices with increasing volume indicate strong selling pressure. Bollinger Bands: Bollinger Bands consist of three lines: The Basis (middle line), which is a Simple Moving Average (SMA) of the price over a set period. The Upper Band, which is the Basis plus a multiple of the standard deviation (typically 2). The Lower Band, which is the Basis minus a multiple of the standard deviation. Bollinger Bands help identify periods of high volatility and potential overbought/oversold conditions. When the price touches the upper band, it might indicate that the market is overbought, while touching the lower band might indicate oversold conditions. EMA Crossovers: The script includes two Exponential Moving Averages (EMAs): Fast EMA: A shorter-term EMA, typically more sensitive to price changes. Slow EMA: A longer-term EMA, responding slower to price changes. The crossover of the Fast EMA crossing above the Slow EMA (bullish crossover) signals a potential buy opportunity, while the Fast EMA crossing below the Slow EMA (bearish crossover) signals a potential sell opportunity. Background Color and Candle Color: The indicator highlights the chart's background with specific colors based on the signals: Green background for buy signals. Yellow background for sell signals. Additionally, the candles are colored green for buy signals and yellow for sell signals to visually reinforce the trade opportunities. Buy/Sell Labels: Small labels are placed on the chart: "BUY" label in green is placed below the bar when a buy signal is generated. "SELL" label in yellow is placed above the bar when a sell signal is generated. Working of the Indicator: Volume Flow Calculation: The Volume Flow is calculated by multiplying the price change (current close minus the previous close) with the volume. This product is then smoothed with a Simple Moving Average (SMA) over a user-defined period (length). The result is then multiplied by a multiplier to adjust its sensitivity. Price Change = close - close Volume Flow = Price Change * Volume Smoothed Volume Flow = SMA(Volume Flow, length) The Volume Flow Signal is then: Smooth Volume Flow * Multiplier This calculation represents the buying or selling pressure in the market. Bollinger Bands: Bollinger Bands are calculated using the Simple Moving Average (SMA) of the closing price (basis) and the Standard Deviation (stdev) of the price over a period defined by the user (bb_length). Basis (Middle Band) = SMA(close, bb_length) Upper Band = Basis + (bb_std_dev * Stdev) Lower Band = Basis - (bb_std_dev * Stdev) The upper and lower bands are plotted alongside the price to identify the price's volatility. When the price is near the upper band, it could be overbought, and near the lower band, it could be oversold. EMA Crossovers: The Fast EMA and Slow EMA are calculated using the Exponential Moving Average (EMA) function. The crossovers are detected by checking: Buy Signal (Bullish Crossover): When the Fast EMA crosses above the Slow EMA. Sell Signal (Bearish Crossover): When the Fast EMA crosses below the Slow EMA. The long_condition variable checks if the Fast EMA crosses above the Slow EMA, and the short_condition checks if it crosses below. Visual Signals: Background Color: The background is colored green for a buy signal and yellow for a sell signal. This gives an immediate visual cue to the trader. Bar Color: The candles are colored green for buy signals and yellow for sell signals. Labels: A "BUY" label in green appears below the bar when the Fast EMA crosses above the Slow EMA. A "SELL" label in yellow appears above the bar when the Fast EMA crosses below the Slow EMA. Summary of Buy/Sell Logic: Buy Signal: The Fast EMA crosses above the Slow EMA (bullish crossover). Volume flow is positive, indicating buying pressure. Background turns green and candles are colored green. A "BUY" label appears below the bar. Sell Signal: The Fast EMA crosses below the Slow EMA (bearish crossover). Volume flow is negative, indicating selling pressure. Background turns yellow and candles are colored yellow. A "SELL" label appears above the bar. Usage of the Indicator: This indicator is designed to help traders identify potential entry (buy) and exit (sell) points based on: The interaction of Exponential Moving Averages (EMAs). The strength and direction of Volume Flow. Price volatility using Bollinger Bands. By combining these components, the indicator provides a comprehensive view of market conditions, helping traders make informed decisions on when to enter and exit trades.
Indicatore Pine Script®
di zaheerarrain
2
Range Filter Buy and Sell 5min## **Enhanced Range Filter Strategy: A Comprehensive Overview** ### **1. Introduction** The **Enhanced Range Filter Strategy** is a powerful technical trading system designed to identify high-probability trading opportunities while filtering out market noise. It utilizes **range-based trend filtering**, **momentum confirmation**, and **volatility-based risk management** to generate precise entry and exit signals. This strategy is particularly useful for traders who aim to capitalize on trend-following setups while avoiding choppy, ranging market conditions. --- ### **2. Key Components of the Strategy** #### **A. Range Filter (Trend Determination)** - The **Range Filter** smooths price fluctuations and helps identify clear trends. - It calculates an **adjusted price range** based on a **sampling period** and a **multiplier**, ensuring a dynamic trend-following approach. - **Uptrends:** When the current price is above the range filter and the trend is strengthening. - **Downtrends:** When the price falls below the range filter and momentum confirms the move. #### **B. RSI (Relative Strength Index) as Momentum Confirmation** - RSI is used to **filter out weak trades** and prevent entries during overbought/oversold conditions. - **Buy Signals:** RSI is above a certain threshold (e.g., 50) in an uptrend. - **Sell Signals:** RSI is below a certain threshold (e.g., 50) in a downtrend. #### **C. ADX (Average Directional Index) for Trend Strength Confirmation** - ADX ensures that trades are only taken when the trend has **sufficient strength**. - Avoids trading in low-volatility, ranging markets. - **Threshold (e.g., 25):** Only trade when ADX is above this value, indicating a strong trend. #### **D. ATR (Average True Range) for Risk Management** - **Stop Loss (SL):** Placed **one ATR below** (for long trades) or **one ATR above** (for short trades). - **Take Profit (TP):** Set at a **3:1 reward-to-risk ratio**, using ATR to determine realistic price targets. - Ensures volatility-adjusted risk management. --- ### **3. Entry and Exit Conditions** #### **📈 Buy (Long) Entry Conditions:** 1. **Price is above the Range Filter** → Indicates an uptrend. 2. **Upward trend strength is positive** (confirmed via trend counter). 3. **RSI is above the buy threshold** (e.g., 50, to confirm momentum). 4. **ADX confirms trend strength** (e.g., above 25). 5. **Volatility is supportive** (using ATR analysis). #### **📉 Sell (Short) Entry Conditions:** 1. **Price is below the Range Filter** → Indicates a downtrend. 2. **Downward trend strength is positive** (confirmed via trend counter). 3. **RSI is below the sell threshold** (e.g., 50, to confirm momentum). 4. **ADX confirms trend strength** (e.g., above 25). 5. **Volatility is supportive** (using ATR analysis). #### **🚪 Exit Conditions:** - **Stop Loss (SL):** - **Long Trades:** 1 ATR below entry price. - **Short Trades:** 1 ATR above entry price. - **Take Profit (TP):** - Set at **3x the risk distance** to achieve a favorable risk-reward ratio. - **Ranging Market Exit:** - If ADX falls below the threshold, indicating a weakening trend. --- ### **4. Visualization & Alerts** - **Colored range filter line** changes based on trend direction. - **Buy and Sell signals** appear as labels on the chart. - **Stop Loss and Take Profit levels** are plotted as dashed lines. - **Gray background highlights ranging markets** where trading is avoided. - **Alerts trigger on Buy, Sell, and Ranging Market conditions** for automation. --- ### **5. Advantages of the Enhanced Range Filter Strategy** ✅ **Trend-Following with Noise Reduction** → Helps avoid false signals by filtering out weak trends. ✅ **Momentum Confirmation with RSI & ADX** → Ensures that only strong, valid trades are executed. ✅ **Volatility-Based Risk Management** → ATR ensures adaptive stop loss and take profit placements. ✅ **Works on Multiple Timeframes** → Effective for day trading, swing trading, and scalping. ✅ **Visually Intuitive** → Clearly displays trade signals, SL/TP levels, and trend conditions. --- ### **6. Who Should Use This Strategy?** ✔ **Trend Traders** who want to enter trades with momentum confirmation. ✔ **Swing Traders** looking for medium-term opportunities with a solid risk-reward ratio. ✔ **Scalpers** who need precise entries and exits to minimize false signals. ✔ **Algorithmic Traders** using alerts for automated execution. --- ### **7. Conclusion** The **Enhanced Range Filter Strategy** is a powerful trading tool that combines **trend-following techniques, momentum indicators, and risk management** into a structured, rule-based system. By leveraging **Range Filters, RSI, ADX, and ATR**, traders can improve trade accuracy, manage risk effectively, and filter out unfavorable market conditions. This strategy is **ideal for traders looking for a systematic, disciplined approach** to capturing trends while **avoiding market noise and false breakouts**. 🚀
Indicatore Pine Script®
di Forexbros22
Sigma Expected Movement)Okay, here's a brief description of what the final Pine Script code achieves: Indicator Description: This indicator calculates and plots expected price movement ranges based on the VIX index for daily, weekly, or monthly periods. It uses user-selectable VIX data (Today's Open / Previous Close) and a center price source (Today's Open / Previous Close). Key features include: Up to three customizable deviation levels, based on user-defined percentages of the calculated expected move. Configurable visibility, color, opacity (default 50%), line style, and width (default 1) for each deviation level. Optional filled area boxes between the 1st and 2nd deviation levels (enabled by default), with customizable fill color/opacity. An optional center price line with configurable visibility (disabled by default), color, opacity, style, and width. All drawings appear only within a user-defined time window (e.g., specific market hours). Does not display price labels on the lines. Optional rounding of calculated price levels.
Indicatore Pine Script®
di aliHamodi