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Donchian Squeeze Oscillator# Donchian Squeeze Oscillator (DSO) - User Guide ## Overview The Donchian Squeeze Oscillator is a technical indicator designed to identify periods of low volatility (squeeze) and high volatility (expansion) in financial markets by measuring the distance between Donchian Channel bands. The indicator normalizes this measurement to a 0-100 scale, making it easy to interpret across different timeframes and instruments. ## How It Works The DSO calculates the width of Donchian Channels as a percentage of the middle line, smooths this data, and then normalizes it using historical highs and lows over a specified lookback period. The result is inverted so that: - **High values (80+)** = Narrow channels = Low volatility = Squeeze - **Low values (20-)** = Wide channels = High volatility = Expansion ## Key Parameters ### Core Settings - **Donchian Channel Period (20)**: The number of bars used to calculate the highest high and lowest low for the Donchian Channels - **Smoothing Period (5)**: Applies moving average smoothing to reduce noise in the oscillator - **Normalization Lookback (200)**: Historical period used to normalize the oscillator between 0-100 ### Threshold Levels - **Over Squeeze (80)**: Values above this level indicate strong squeeze conditions - **Over Expansion (20)**: Values below this level indicate strong expansion conditions ## Reading the Indicator ### Color Coding - **Red Line**: Squeeze condition (above 80 threshold) - Markets are consolidating - **Orange Line**: Neutral/trending condition with upward momentum - **Green Line**: Expansion condition or downward momentum ### Visual Elements - **Red Dashed Line (80)**: Squeeze threshold - potential breakout zone - **Gray Dotted Line (50)**: Middle line - neutral zone - **Green Dashed Line (20)**: Expansion threshold - high volatility zone - **Red Background**: Highlights active squeeze periods ## Trading Applications ### 1. Breakout Trading - **Setup**: Wait for DSO to reach 80+ (squeeze zone) - **Entry**: Look for breakouts when DSO starts declining from squeeze levels - **Logic**: Prolonged low volatility often precedes significant price movements ### 2. Volatility Cycle Trading - **Squeeze Phase**: DSO > 80 - Prepare for potential breakout - **Breakout Phase**: DSO declining from 80 - Trade the direction of breakout - **Expansion Phase**: DSO < 20 - Expect trend continuation or reversal ### 3. Trend Confirmation - **Orange Color**: Suggests bullish momentum during expansion - **Green Color**: Suggests bearish momentum or consolidation - Use in conjunction with price action for trend confirmation ## Best Practices ### Timeframe Selection - **Higher Timeframes (Daily, 4H)**: More reliable signals, fewer false breakouts - **Lower Timeframes (1H, 15M)**: More frequent signals but higher noise - **Multi-timeframe Analysis**: Confirm squeeze on higher TF, enter on lower TF ### Parameter Optimization - **Volatile Markets**: Increase Donchian period (25-30) and smoothing (7-10) - **Range-bound Markets**: Decrease Donchian period (15-20) for more sensitivity - **Trending Markets**: Use longer normalization lookback (300-400) ### Signal Confirmation Always combine DSO signals with: - **Price Action**: Support/resistance levels, chart patterns - **Volume**: Confirm breakouts with increasing volume - **Other Indicators**: RSI, MACD, or momentum oscillators ## Alert System The indicator includes built-in alerts for: - **Squeeze Started**: When DSO crosses above the squeeze threshold - **Expansion Started**: When DSO crosses below the expansion threshold ## Common Pitfalls to Avoid 1. **False Breakouts**: Don't trade every squeeze - wait for confirmation 2. **Parameter Over-optimization**: Stick to default settings initially 3. **Ignoring Market Context**: Consider overall market conditions and news 4. **Single Indicator Reliance**: Always use additional confirmation tools ## Advanced Tips - Monitor squeeze duration - longer squeezes often lead to bigger moves - Look for squeeze patterns at key support/resistance levels - Use DSO divergences with price for potential reversal signals - Combine with Bollinger Band squeezes for enhanced accuracy ## Conclusion The Donchian Squeeze Oscillator is a powerful tool for identifying volatility cycles and potential breakout opportunities. Like all technical indicators, it should be used as part of a comprehensive trading strategy rather than as a standalone signal generator. Practice with the indicator on historical data before implementing it in live trading to understand its behavior in different market conditions.
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cgrmetin tarafından
Frozen 4H VWAP – Precision AnchoredFrozen 4H VWAP – Precision Anchored Like Ice The Frozen 4H VWAP – Precision Anchored delivers a clean, stable, and reliable view of the 4-hour Volume Weighted Average Price, designed for traders who want higher timeframe insights without intrabar noise or repainting. 🔹 Key Features: Non-Repainting: VWAP value is “frozen” at the close of each 4H candle — no mid-bar updates or flickering. 4H Timeframe Anchoring: Seamlessly pulls 4-hour VWAP values into any timeframe you’re trading on. Clear Trend Reference: Updates only when a new 4H candle begins, acting as a trustworthy anchor for support/resistance. Custom Source Option: Choose from different price sources (default: HLC3) to fit your strategy. Whether you're scalping, day trading, or swing trading, this indicator gives you a powerful edge by grounding your decisions in higher timeframe VWAP data — clear, calm, and frozen in time.
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Equanimity_raven tarafından
VPOC Harmonics - Liquidity-Weighted Price / Time RatiosVPOC Harmonics - Liquidity-Weighted Price / Time Ratios Summary This indicator transforms a swing’s price range, duration, and liquidity profile into a structured set of price-per-bar ratios. By anchoring two points and manually entering the swing’s VPOC (highest-volume price), it generates candidate compression values that unify price, time, and liquidity structure. These values can be applied to chart scaling, harmonic testing, and liquidity-aware market geometry. ________________________________________ Overview Most swing analysis tools only consider price (ΔP) and time (N bars). This script goes further by incorporating the VPOC (Point of Control) — the price with the highest traded volume — directly into swing geometry. • Anchors define the swing’s Low (L), High (H), and bar count (N). • The user manually enters the VPOC (highest-volume price). • The indicator then computes a suite of ratios that integrate range, duration, and liquidity placement. The output is a table of liquidity-weighted price-per-bar candidates, designed for compression testing and harmonic analysis across swings and instruments. ________________________________________ How to Use 1. Select a Swing - Place Anchor A and Anchor B to define the swing’s Low, High, and bar count. 2. Find the VPOC - Apply TradingView’s Fixed Range Volume Profile tool over the same swing. - Identify the Point of Control (POC) — the price level with the highest traded volume. 3. Enter the VPOC - Manually input the POC into the indicator settings. 4. Review Outputs - The table will display candidate ratios expressed mainly as price-per-bar values. 5. Apply in Practice - Use the ratios as chart compression inputs or as benchmarks for testing harmonic alignments across swings. ________________________________________ Outputs Swing & Inputs • Bars (N): total bar count of the swing. • Low (L): swing low price. • High (H): swing high price. • ΔP = H − L: price range. • Mid = (L + H) ÷ 2: midpoint price. • VPOC (V): user-entered highest-volume price. • Base slope s0 = ΔP ÷ N: average change per bar. • π-adjusted slope sπ = (π × ΔP) ÷ (2 × N): slope adjusted for half-cycle arc geometry. ________________________________________ VPOC Harmony Ratios (L, H, V, N) • λ = (V − L) ÷ ΔP: normalized VPOC position within the range. • R = (V − L) ÷ (H − V): symmetry ratio comparing lower vs. upper segment. • s1 = (V − L) ÷ N: slope from Low → VPOC. • s2 = (H − V) ÷ N: slope from VPOC → High. ________________________________________ Blended Means (s1, s2) These combine the two segment slopes in different ways: • HM(s1,s2) = 2 ÷ (1/s1 + 1/s2): Harmonic mean, emphasizes the smaller slope. • GM(s1,s2) = sqrt(s1 × s2): Geometric mean, balances both slopes proportionally. • RMS(s1,s2) = sqrt((s1² + s2²) ÷ 2): Root-mean-square, emphasizes the larger slope. • L2 = sqrt(s1² + s2²): Euclidean norm, the vector length of both slopes combined. ________________________________________ Slope Blends • Quadratic weighting: s_quad = s0 × ((V−L)² + (H−V)²) ÷ (ΔP²) • Tilted slope: s_tilt = s0 × (0.5 + λ) • Entropy-scaled slope: s_ent = s0 × H2(λ), with H2(λ) = − ________________________________________ Curvature & Liquidity Extensions • π-arc × λ: s_arc = sπ × λ • Liquidity-π: s_piV = sπ × (V ÷ Mid) ________________________________________ Scale-Normalized Families With k = sqrt(H ÷ L): • k (scale factor) = sqrt(H ÷ L) • s_comp = s0 ÷ k: compressed slope candidate • s_exp = s0 × k: expanded slope candidate • Exponentiated blends: - s_kλ = s0 × k^(2λ−1) - s_φλ = s0 × φ^(2λ−1), with φ = golden ratio ≈ 1.618 - s_√2λ = s0 × (√2)^(2λ−1) ________________________________________ Practical Application All formulas generate liquidity-weighted price-per-bar ratios that integrate range, time, and VPOC placement. These values are designed for: • Chart compression settings • Testing harmonic alignments across swings • Liquidity-aware scaling experiments ________________________________________
Pine Script® göstergesi
geneclash tarafından
Clean Volume Bars (Green/Red + Above Avg Highlight)📊 Clean Volume Bars (Green/Red + Above Avg Highlight) This script provides a clearer view of market volume by combining standard green/red volume bars with dynamic highlights for above-average activity. Features: ✅ Green / Red Volume Bars – standard visualization: Green when the candle closes higher than it opened Red when the candle closes lower than it opened ✅ Average Volume Line – a simple moving average (default 20 periods) to track relative volume. ✅ Above Average Highlights – bars that exceed the average volume are emphasized: White for above-average bullish volume Black for above-average bearish volume How to Use: Look for white volume spikes during up candles → potential strong bullish activity. Watch for black volume spikes during down candles → potential strong bearish pressure. Combine with price action, trend, or other indicators for confluence (this is not a standalone trading system).
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melospoker80 tarafından
AltCoin & MemeCoin Index Correlation [Eddie_Bitcoin]🧠 Philosophy of the Strategy The AltCoin & MemeCoin Index Correlation Strategy by Eddie_Bitcoin is a carefully engineered trend-following system built specifically for the highly volatile and sentiment-driven world of altcoins and memecoins. This strategy recognizes that crypto markets—especially niche sectors like memecoins—are not only influenced by individual price action but also by the relative strength or weakness of their broader sector. Hence, it attempts to improve the reliability of trading signals by requiring alignment between a specific coin’s trend and its sector-wide index trend. Rather than treating each crypto asset in isolation, this strategy dynamically incorporates real-time dominance metrics from custom indices (OTHERS.D and MEME.D) and combines them with local price action through dual exponential moving average (EMA) crossovers. Only when both the asset and its sector are moving in the same direction does it allow for trade entries—making it a confluence-based system rather than a single-signal strategy. It supports risk-aware capital allocation, partial exits, configurable stop loss and take profit levels, and a scalable equity-compounding model. ✅ Why did I choose OTHERS.D and MEME.D as reference indices? I selected OTHERS.D and MEME.D because they offer a sector-focused view of crypto market dynamics, especially relevant when trading altcoins and memecoins. 🔹 OTHERS.D tracks the market dominance of all cryptocurrencies outside the top 10 by market cap. This excludes not only BTC and ETH, but also major stablecoins like USDT and USDC, making it a cleaner indicator of risk appetite across true altcoins. 🔹 This is particularly useful for detecting "Altcoin Season"—periods where capital rotates away from Bitcoin and flows into smaller-cap coins. A rising OTHERS.D often signals the start of broader altcoin rallies. 🔹 MEME.D, on the other hand, captures the speculative behavior of memecoin segments, which are often driven by retail hype and social media activity. It's perfect for timing momentum shifts in high-risk, high-reward tokens. By using these indices, the strategy aligns entries with broader sector trends, filtering out noise and increasing the probability of catching true directional moves, especially in phases of capital rotation and altcoin risk-on behavior. 📐 How It Works — Core Logic and Execution Model At its heart, this strategy employs dual EMA crossover detection—one pair for the asset being traded and one pair for the selected market index. A trade is only executed when both EMA crossovers agree on the direction. For example: Long Entry: Coin's fast EMA > slow EMA and Index's fast EMA > slow EMA Short Entry: Coin's fast EMA < slow EMA and Index's fast EMA < slow EMA You can disable the index filter and trade solely based on the asset’s trend just to make a comparison and see if improves a classic EMA crossover strategy. Additionally, the strategy includes: - Adaptive position sizing, based on fixed capital or current equity (compound mode) - Take Profit and Stop Loss in percentage terms - Smart partial exits when trend momentum fades - Date filtering for precise backtesting over specific timeframes - Real-time performance stats, equity tracking, and visual cues on chart ⚙️ Parameters & Customization 🔁 EMA Settings Each EMA pair is customizable: Coin Fast EMA: Default = 47 Coin Slow EMA: Default = 50 Index Fast EMA: Default = 47 Index Slow EMA: Default = 50 These control the sensitivity of the trend detection. A wider spread gives smoother, slower entries; a narrower spread makes it more responsive. 🧭 Index Reference The correlation mechanism uses CryptoCap sector dominance indexes: OTHERS.D: Dominance of all coins EXCLUDING Top 10 ones MEME.D: Dominance of all Meme coins These are dynamically calculated using: OTHERS_D = OTHERS_cap / TOTAL_cap * 100 MEME_D = MEME_cap / TOTAL_cap * 100 You can select: Reference Index: OTHERS.D or MEME.D Or disable the index reference completely (Don't Use Index Reference) 💰 Position Sizing & Risk Management Two capital allocation models are supported: - Fixed % of initial capital (default) - Compound profits, which scales positions as equity grows Settings: - Compound profits?: true/false - % of equity: Between 1% and 200% (default = 10%) This is critical for users who want to balance growth with risk. 🎯 Take Profit / Stop Loss Customizable thresholds determine automatic exits: - TakeProfit: Default = 99999 (disabled) - StopLoss: Default = 5 (%) These exits are percentage-based and operate off the entry price vs. current close. 📉 Trend Weakening Exit (Scale Out) If the position is in profit but the trend weakens (e.g., EMA color signals trend loss), the strategy can partially close a configurable portion of the position: - Scale Position on Weak Trend?: true/false - Scaled Percentage: % to close (default = 65%) This feature is useful for preserving profits without exiting completely. 📆 Date Filter Useful for segmenting performance over specific timeframes (e.g., bull vs bear markets): - Filter Date Range of Backtest: ON/OFF - Start Date and End Date: Custom time range OTHER PARAMETERS EXPLANATION (Strategy "Properties" Tab): - Initial Capital is set to 100 USD - Commission is set to 0.055% (The ones I have on Bybit) - Slippage is set to 3 ticks - Margin (short and long) are set to 0.001% to avoid "overspending" your initial capital allocation 📊 Visual Feedback and Debug Tools 📈 EMA Trend Visualization The slow EMA line is dynamically color-coded to visually display the alignment between the asset trend and the index trend: Lime: Coin and index both bullish Teal: Only coin bullish Maroon: Only index bullish Red: Both bearish This allows for immediate visual confirmation of current trend strength. 💬 Real-Time PnL Labels When a trade closes, a label shows: Previous trade return in % (first value is the effective PL) Green background for profit, Red for losses. 📑 Summary Table Overlay This table appears in a corner of the chart (user-defined) and shows live performance data including: Trade direction (yellow long, purple short) Emojis: 💚 for current profit, 😡 for current loss Total number of trades Win rate Max drawdown Duration in days Current trade profit/loss (absolute and %) Cumulative PnL (absolute and %) APR (Annualized Percentage Return) Each metric is color-coded: Green for strong results Yellow/orange for average Red/maroon for poor performance You can select where this appears: Top Left Top Right Bottom Left Bottom Right (default) 📚 Interpretation of Key Metrics Equity Multiplier: How many times initial capital has grown (e.g., “1.75x”) Net Profit: Total gains including open positions Max Drawdown: Largest peak-to-valley drop in strategy equity APR: Annualized return calculated based on equity growth and days elapsed Win Rate: % of profitable trades PnL %: Percentage profit on the most recent trade 🧠 Advanced Logic & Safety Features 🛑 “Don’t Re-Enter” Filter If a trade is closed due to StopLoss without a confirmed reversal, the strategy avoids re-entering in that same direction until conditions improve. This prevents false reversals and repetitive losses in sideways markets. 🧷 Equity Protection No new trades are initiated if equity falls below initial_capital / 30. This avoids overleveraging or continuing to trade when capital preservation is critical. Keep in mind that past results in no way guarantee future performance. Eddie Bitcoin
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Eddie_Bitcoin tarafından
Adaptive Square Levels - for all InstrumentsDescription: The Adaptive Square Levels indicator generates mathematically derived horizontal trendlines based on perfect squares (1², 2², 3², …) anchored to the first trading day’s open of each month. ✨ Key Features 📐 Adaptive Anchoring: Locks onto the nearest square number to the monthly open. 🔁 Dual Context: Displays both current month and previous month levels for comparison. ➕➖ Expansion: Automatically plots ±10 square levels around the anchor. 🟧 Highlighting: Multiples of 3² (9, 36, 81, …) are marked in orange for quick recognition. ⭐ Focus Line: The nearest square is bold and labeled with a ★. 🏷️ Readable Labels: Large fonts ensure values are clearly visible, even on high-value instruments. 📊 Finite Trendlines: Levels extend only within the month, not as infinite rays. ⚙️ Configurable: Adjustable max price coverage up to 250,000 (default) to suit stocks, indices, futures, or commodities. ⚙️ How It Works At the start of a new month, the script locks the opening price of the first bar. It finds the nearest perfect square to that open. It then plots 10 square levels above and below the anchor. Current month levels extend to today’s bar; previous month levels stop at month end. The nearest square line is emphasized with a bold ★ label. 🎯 How to Use Support & Resistance: Use square levels as natural price magnets or turning points. Monthly Structure: Compare previous vs. current month grids for context. Confluence Tool: Combine with price action, Fibonacci retracements, or market profile. Focus Points: Pay special attention to the ★ bold nearest-square — it often becomes the key pivot for the month. 📚 Study Note: Why Square Numbers? Square numbers (1, 4, 9, 16, 25, …) create a nonlinear but structured grid. Unlike linear step levels (e.g., round numbers), square levels: Expand naturally as prices rise. Provide distinct mathematical anchors. Have been observed to align with natural support/resistance zones. This indicator makes square mathematics practical by adapting them to live market opens. ⚠️ Disclaimer This script is for educational purposes only. It is not financial advice. Trading carries risk; always test and combine with proper risk management.
Pine Script® göstergesi
civiljeeva tarafından
MACD StrategyOverview The "MACD Strategy" is a straightforward trading strategy tested for BTCUSDT Futures on the 1-minute timeframe, leveraging the Moving Average Convergence Divergence (MACD) indicator to identify momentum-based buy and sell opportunities. Developed with input from expert trading analyst insights, this strategy combines technical precision with risk management, making it suitable for traders of all levels on platforms like TradingView. It focuses on capturing trend reversals and momentum shifts, with clear visual cues and automated alerts for seamless integration with trading bots (e.g., Bitget webhooks). #### How It Works This strategy uses the MACD indicator to generate trading signals based on momentum and trend direction: - **Buy Signal**: Triggered when the MACD line crosses above the signal line, and the MACD histogram turns positive (above zero). This suggests increasing bullish momentum. - **Sell Signal**: Triggered when the MACD line crosses below the signal line, and the MACD histogram turns negative (below zero), indicating growing bearish momentum. Once a signal is detected, the strategy opens a position (long for buy, short for sell) with a position size calculated based on your risk tolerance. It includes a stop-loss to limit losses and a take-profit to lock in gains, both dynamically adjusted using the Average True Range (ATR) for adaptability to market volatility. #### Key Features - **MACD-Based Signals**: Relies solely on MACD for entry points, plotted in a separate pane for clear momentum analysis. - **Risk Management**: Automatically calculates position size based on a percentage of your account balance and sets stop-loss and take-profit levels using ATR multipliers and a risk:reward ratio. - **Visual Feedback**: Plots entry, stop-loss, and take-profit lines on the chart with labeled markers for easy tracking. - **Alerts**: Includes Bitget webhook-compatible alerts for automated trading, notifying you of buy and sell signals in real-time. #### Input Parameters - **Account Balance**: Default 10000 – Set your initial trading capital to determine position sizing. - **MACD Fast Length**: Default 12 – The short-term EMA period for MACD sensitivity. - **MACD Slow Length**: Default 26 – The long-term EMA period for MACD calculation. - **MACD Signal Length**: Default 9 – The smoothing period for the signal line. - **Risk Per Trade (%)**: Default 3.0 – The percentage of your account balance risked per trade (e.g., 3% of 10000 = 300). - **Risk:Reward Ratio**: Default 3.0 – The ratio of potential profit to risk (e.g., 3:1 means risking 1 to gain 3). - **SL Multiplier**: Default 1.0 – Multiplies ATR to set the stop-loss distance (e.g., 1.0 x ATR). - **TP Multiplier**: Default 3.0 – Multiplies ATR to set the take-profit distance, adjusted by the risk:reward ratio. - **Line Length (bars)**: Default 25 – Duration in bars for displaying trade lines on the chart. - **Label Position**: Default 'left' – Position of text labels (left or right) relative to trade lines. - **ATR Period**: Default 14 – The number of periods for calculating ATR to measure volatility. #### How to Use 1. **Add to Chart**: Load the "MACD Strategy" as a strategy and the "MACD Indicator" as a separate indicator on your TradingView chart (recommended for BTCUSDT Futures on the 1-minute timeframe). 2. **Customize Settings**: Adjust the input parameters based on your risk tolerance and market conditions. For BTCUSDT Futures, consider reducing `Risk Per Trade (%)` during high volatility (e.g., 1%) or increasing `SL Multiplier` for wider stops. 3. **Visual Analysis**: Watch the main chart for trade entry lines (green for buy, red for sell), stop-loss (red), and take-profit (green) lines with labels. Use the MACD pane below to confirm momentum shifts. 4. **Set Alerts**: Create alerts in TradingView for "Buy Signal" and "Sell Signal" to automate trades via Bitget webhooks. 5. **Backtest and Optimize**: Test the strategy on historical BTCUSDT Futures 1-minute data to fine-tune parameters. The short timeframe requires quick execution, so monitor closely for slippage or latency. #### Tips for Success - **Market Conditions**: This strategy performs best in trending markets on the 1-minute timeframe. Avoid choppy conditions where MACD crossovers may produce false signals. - **Risk Management**: Start with the default 3% risk per trade and adjust downward (e.g., 1%) during volatile periods like BTCUSDT news events. The 3:1 risk:reward ratio targets consistent profitability. - **Timeframe**: Optimized for 1-minute charts; switch to 5-minute or 15-minute for less noise if needed. - **Confirmation**: Cross-check MACD signals with price action or support/resistance levels for higher accuracy on BTCUSDT Futures. #### Limitations - This strategy relies solely on MACD, so it may lag in fast-moving or sideways markets. Consider adding a secondary filter (e.g., RSI) if needed. - Stop-loss and take-profit are ATR-based and may need adjustment for BTCUSDT Futures’ high volatility, especially during leverage trading. #### Conclusion The "MACD Strategy" offers a simple yet effective way to trade momentum shifts using the MACD indicator, tested for BTCUSDT Futures on the 1-minute timeframe, with robust risk management and visual tools. Whether you’re scalping crypto futures or exploring short-term trends, this strategy provides a solid foundation for automated or manual trading. Share your feedback or customizations in the comments, and happy trading!
Pine Script® stratejisi
thetraderlodge tarafından
Previous High/Low Range (D,W,M,Q)Previous High/Low Range (D, W, M, Q) This indicator displays the previous period’s high, low, and midpoint levels across multiple timeframes: Daily, Weekly, Monthly, and Quarterly. It extends these key price levels into the future, allowing traders to quickly identify important support and resistance zones based on historical price action. Features: Shows previous Daily, Weekly, Monthly, and Quarterly highs, lows, and midpoints. Optionally extends these levels forward for easy visualization. Configurable colors and visibility for each timeframe. Includes optional midpoint lines at 50% between high and low to identify equilibrium points. Supports logarithmic scale calculations for midpoints to maintain accuracy on log charts. Optional labels that display exact price values for each level. Designed to help traders recognize key levels for entries, exits, and risk management. Use this indicator to gain a multi-timeframe perspective on significant price ranges and anticipate potential reversal or breakout zones.
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celynuik tarafından
Kidev Pro -HLx4 Modes + Dual BB + WMA + HMA + Labels/Alerts [v6]This script is a multi-purpose technical toolkit designed for intraday and swing traders who rely on high/low reference levels, volatility bands, and moving averages for decision-making. Features Included: High/Low Levels (4 Lines, Multiple Modes): Rolling Mode: Plots the Highest High & Lowest Low of two different lookback periods (fast/slow). Prev Day / Week Mode: Automatically plots Previous Day’s High/Low (PDH/PDL) and Previous Week’s High/Low (PWH/PWL), with optional labels. Session Mode (Custom): Marks the current session’s High/Low and the previous session’s High/Low (default 09:15–15:30 for NSE). Fractal Mode: Plots last confirmed fractal Highs/Lows (fast & slow pivots). Bollinger Bands (Dual): Two independent Bollinger Bands, each with customizable MA length and standard deviation. Optional shaded fills between bands for better volatility visualization. Moving Averages: A single Weighted Moving Average (WMA). A single Hull Moving Average (HMA). Both with custom lengths, colors, and visibility toggles. Labels & Visuals: Automatic labeling of PDH/PDL/PWH/PWL with customizable label colors. Optional session shading to highlight market hours. Alerts: Trigger alerts when price crosses any of the four High/Low lines. Useful for breakout/breakdown strategies. Intended Use Cases: Identify key support/resistance using High/Low lines from multiple perspectives (rolling, prior day/week, fractals, or sessions). Track volatility compression/expansion with dual Bollinger Bands. Overlay trend filters with WMA/HMA. Combine levels + bands + averages for breakout or mean-reversion strategies.
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kidevswamynathan tarafından
christophrobert MMA'sThe market moves in waves of momentum and trends, often leaving traders guessing where the true peaks and bottoms lie. The Multiple Moving Average Indicator is designed to cut through that noise. By layering multiple moving averages into a ribbon indicator, this tool makes it easy to spot shifts in momentum, highlight potential market tops and bottoms, and visualize the strength of a trend at a glance. Whether you’re looking for the best times to buy, sell, or simply confirm the strength of a move, this indicator provides a clear framework to guide your decisions.
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AlgoNavigator tarafından