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The Beginning MasterThe Beginning Master Description: The Beginning Master is a structured micro-futures scalping strategy engineered for small accounts, particularly those trading micro futures such as M2K (Micro Russell 2000), MNQ (Micro Nasdaq), or MES (Micro E-mini S&P 500). It combines multiple layers of trend, momentum, and volatility logic to identify short-term directional opportunities while maintaining strict capital protection. The system evaluates: Trend bias using a dual-moving-average framework that reacts to shifts in short-term momentum. Momentum strength and confirmation through adaptive readings of directional movement and relative-strength behavior to avoid low-energy markets. Volatility awareness, adjusting stops and targets based on real-time range analysis so each trade risks only a small, consistent fraction of equity. Session filters, restricting activity to high-liquidity U.S. hours for more stable fills. Capital management tools, including a daily loss limit and a unique “profit floor” safeguard that locks gains once a target profit is reached, preventing drawdown from giving back realized profit. The strategy is optimized for: Micro-futures traders starting with modest capital (~$100) Any micro futures instrument (M2K, MNQ, MES, etc.) Fast execution via automated trade platforms (e.g., TradersPost) Consistent, repeatable setups rather than prediction Default settings: Initial capital: $100 Daily loss cap: $15 Profit-floor protection: $25 Position size: 1 contract Realistic commission and tick size from exchange data ⚠️ Disclaimer: This publication is for educational and research purposes only. It is not financial advice or a solicitation to trade. Performance results are hypothetical and do not guarantee future returns.
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ngukevin90の投稿
Ehlers Ultrasmooth Filter (USF)# USF: Ultrasmooth Filter ## Overview and Purpose The Ultrasmooth Filter (USF) is an advanced signal processing tool that represents the pinnacle of noise reduction technology for financial time series. Developed by John Ehlers, this filter implements a complex algorithm that provides exceptional smoothing capabilities while minimizing the lag typically associated with heavy filtering. USF builds upon the Super Smooth Filter (SSF) with enhanced noise suppression characteristics, making it particularly valuable for identifying clear trends in extremely noisy market conditions where even traditional smoothing techniques struggle to produce clean signals. ## Core Concepts * **Maximum noise suppression:** Provides the highest level of noise reduction among Ehlers' filter designs * **Optimized coefficient structure:** Uses carefully designed mathematical relationships to achieve superior filtering performance * **Market application:** Particularly effective for long-term trend identification and minimizing false signals in highly volatile market conditions The core innovation of USF is its second-order filter structure with optimized coefficients that create an exceptionally smooth frequency response. By careful mathematical design, USF achieves near-optimal noise suppression characteristics while minimizing the lag and waveform distortion that typically accompany such heavy filtering. This makes it especially valuable for identifying major market trends amid significant short-term volatility. ## Common Settings and Parameters | Parameter | Default | Function | When to Adjust | |-----------|---------|----------|---------------| | Length | 20 | Controls the cutoff period | Increase for smoother signals, decrease for more responsiveness | | Source | close | Price data used for calculation | Consider using hlc3 for a more balanced price representation | **Pro Tip:** USF is ideal for defining major market trends - try using it with a length of 40-60 on daily charts to identify dominant market direction and ignoring shorter-term noise completely. ## Calculation and Mathematical Foundation **Simplified explanation:** The Ultrasmooth Filter creates an extremely clean price representation by combining current and past price data with previous filter outputs using precisely calculated mathematical relationships. This creates a highly effective "averaging" process that removes virtually all market noise while still maintaining the essential trend information. **Technical formula:** USF = (1-c1)X + (2c1-c2)X₁ - (c1+c3)X₂ + c2×USF₁ + c3×USF₂ Where coefficients are calculated as: - a1 = exp(-1.414π/length) - b1 = 2a1 × cos(1.414 × 180/length) - c1 = (1 + c2 - c3)/4 - c2 = b1 - c3 = -a1² > 🔍 **Technical Note:** The filter combines both feed-forward (X terms) and feedback (USF terms) components in a second-order structure, creating a response with exceptional roll-off characteristics and minimal passband ripple. ## Interpretation Details The Ultrasmooth Filter can be used in various trading strategies: * **Major trend identification:** The direction of USF indicates the dominant market trend with minimal noise interference * **Signal generation:** Crossovers between price and USF generate high-reliability trade signals with minimal false positives * **Support/resistance levels:** USF can act as strong dynamic support during uptrends and resistance during downtrends * **Market regime identification:** The slope of USF helps identify whether markets are in trending or consolidation phases * **Multiple timeframe analysis:** Using USF across different chart timeframes creates a cohesive picture of nested trend structures ## Limitations and Considerations * **Significant lag:** The extreme smoothing comes with increased lag compared to lighter filters * **Initialization period:** Requires more bars than simpler filters to stabilize at the start of data * **Less suitable for short-term trading:** Generally too slow-responding for short-term strategies * **Parameter sensitivity:** Performance depends on appropriate length selection for the timeframe * **Complementary tools:** Best used alongside faster-responding indicators for timing signals ## References * Ehlers, J.F. "Cycle Analytics for Traders," Wiley, 2013 * Ehlers, J.F. "Rocket Science for Traders," Wiley, 2001
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mihakraljの投稿
Fishnet Squeeze [Osprey]🟠 Overview The SMA Fishnet with Squeeze indicator combines a multi-timeframe moving average ribbon system with an advanced squeeze detection algorithm to help traders identify both trend direction and potential breakout opportunities. 🟠 How to Use This Indicator - Squeeze Breakout Trading When the indicator signals a squeeze (yellow diamond marker and highlighted background), prepare for a potential breakout in either direction - Support and Resistance Identification The twelve SMA levels act as dynamic support and resistance zones. Price often bounces or pauses at these levels, especially at the convergence of multiple SMAs. Squeeze Settings - **Enable/Disable**: Toggle squeeze detection on or off - **Lookback Period**: Adjust the historical comparison window (20-200 bars) - **Percentile Threshold**: Set sensitivity for squeeze detection (1-20%) - **Minimum Duration**: Define how many bars must confirm a squeeze (1-10) - **Visual Customization**: Modify squeeze marker colors to suit your preferences ‼️ Test different values for Lookback Period ! Lower lookback period = more frequent squeeze marks. I suggest using 31 or 100. 🟠 The Fishnet Structure The indicator employs twelve SMAs ranging from ultra-short-term (3-period) to long-term (200-period), creating a "fishnet" pattern on your chart. This graduated approach provides a comprehensive view of price action across multiple timeframes simultaneously: 🟠 Advanced Squeeze Detection Algorithm The squeeze detection component identifies periods when all twelve SMAs converge into an unusually tight range, indicating market indecision and potential energy buildup. The algorithm uses several sophisticated filters: 1. ATR-Normalized Range Calculation: The indicator normalizes the SMA range using Average True Range (ATR) to ensure consistent squeeze detection across different volatility environments and price levels. 2. Historical Percentile Analysis: Compares the current normalized range against a customizable lookback period (default: 31 bars) to identify when SMAs are in the bottom percentile of historical tightness. 3. Statistical Validation: Uses z-score analysis to confirm that the current range is significantly below the mean, filtering out false signals. 4. Duration Confirmation: Requires the squeeze condition to persist for a minimum number of consecutive bars (default: 3) to validate genuine compression. 5. Local Minimum Verification: Confirms that the current squeeze represents the tightest point in recent history (20-bar window).
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osprey0の投稿
BB LONG 2BX & FVB StrategyThis Strategy is optimized for the 2h timeframe. Happy Charting and you're welcome! **BB LONG 2BX & FVB Strategy – Simple Text Guide** --- ### **What It Does** A **long-only trading strategy** that: - Enters on **strong upward momentum** - Adds a second position when the trend gets stronger - Takes profits in parts at **smart price levels** - Exits fully if the trend weakens or reverses --- ### **Main Tools Used** | Tool | Simple Meaning | |------|----------------| | **B-Xtrender (Oscillator)** | Measures speed of price move. Above 0 = bullish, below 0 = bearish | | **Weekly & Monthly Timeframes** | Checks if higher timeframes agree with the trade | | **Red ATR Line** | A moving stop-loss that follows price up | | **Fair Value Bands (1x, 2x, 3x)** | Profit targets that adjust to market volatility | --- ### **When It Enters a Trade (Long)** **First Entry:** - Weekly momentum is **rising** - Monthly momentum is **positive or increasing** - No current position **Second Entry (Pyramiding):** - Already in trade - Price breaks **above the Red ATR line** → add same size again (Max 2 total entries) --- ### **When It Takes Profit (Scaling Out)** | Level | Action | |-------|--------| | **1x Band** | Sell **50%** when price pulls back from this level | | **2x Band** | Sell **50%** when price pulls back from this level | | **3x Band** | **Exit everything** when price pulls back from this level | > You can hit 1x and 2x **multiple times** – it will keep taking 50% each time --- ### **When It Exits Fully (Closes Everything)** 1. Price **closes below Red ATR line** 2. Weekly momentum shows **2 red bars in a row, both falling** 3. Weekly momentum **crosses below zero** AND price is below Red ATR 4. Weekly momentum **drops sharply** (more than 25 points in one bar) > After full exit, it **won’t re-enter** unless price comes back below 2x band --- ### **Alerts You Get** Every time price **touches** a profit band, you get an alert: - “Price touched 1x band from below” - “Price touched 1x band from above” - Same for **2x** and **3x** > One alert per touch, per bar --- ### **On the Chart – What You See** - **Histogram bars (weekly momentum)** Lime = up, Red = down **Yellow highlight** = warning (exit soon) - **Red broken line** = stop-loss level - **Blue line** = fair middle price - **Orange, Purple, Pink lines** = 1x, 2x, 3x profit targets --- ### **Best Used On** - Daily or 4-hour charts - Strong trending assets (like Bitcoin, Tesla, S&P 500) --- ### **Quick Rules Summary** | Do This | When | |--------|------| | **Enter** | Weekly up + monthly support | | **Add more** | Price breaks above Red line | | **Take 50% profit** | Price pulls back from 1x or 2x | | **Exit all** | Red line break, weak momentum, or 3x hit | --- **Simple Idea:** **Ride strong trends, add when confirmed, take profits in chunks, cut losses fast.**
Pine Script® ストラテジー
bradleypbarber6の投稿
1
Reactive Curvature Smoother Moving Average IndicatorSummary in one paragraph RCS MA is a reactive curvature smoother for any liquid instrument on intraday through swing timeframes. It helps you act only when context strengthens by adapting its window length with a normalized path energy score and by smoothing with robust residual weights over a quadratic fit, then optionally blending a capped one step forecast. Add it to a clean chart and watch the single colored line. Shapes can shift while a bar forms and settle on close. For conservative use, judge on bar close. Scope and intent • Markets: major FX pairs, index futures, large cap equities, liquid crypto • Timeframes: one minute to daily • Purpose: reduce lag in trends while resisting chop and outliers • Limits: indicator only, no orders Originality and usefulness • Novelty: adaptive window selection by minimizing normalized path energy with directionality bias, plus Huber weighted residuals and curvature aware penalty, finished with a mintick capped forecast blend • Failure modes addressed: whipsaws from fixed length MAs and outlier spikes that pull means • Testable: Inputs expose all components and optional diagnostics show chosen length, directionality, and energy • Portable yardstick: forecast cap uses mintick to stay symbol aware Method overview in plain language Base measures • Range span of the tested window and a path energy defined as the sum of squared price increments, normalized by span Components Adaptive window chooser: scans L between Min and Max using an energy over trend score and picks the lowest score Robust smoother: fits a quadratic to the last L bars, computes residuals, applies Huber weights and an exponential residual penalty scaled down when curvature is high Forecast blend: projects one step ahead from the quadratic, caps displacement by a multiple of mintick, blends by user weight Fusion rule • Final line equals robust mean plus optional capped forecast blend Signal rule • Visual bias only: color turns lime when close is above the line, red otherwise What you will see on the chart • One colored line that tightens in trends and relaxes in chop • Optional debug overlays for core value, chosen L, directionality, and energy • Optional last bar label with L, directionality, and energy • Reminder: drawings can move intrabar and settle on close Inputs with guidance Setup • Source: price series to smooth Logic • Min window l_min. Typical 5 to 21. Higher increases stability, adds lag • Max window l_max. Typical 40 to 128. Higher reduces noise, adds lag ceiling • Length step grid_step. Typical 1 to 8. Smaller is finer and heavier • Trend bias trend_bias. Typical 0.50 to 0.80. Higher favors trend persistence • Residual penalty lambda_base. Typical 0.8 to 2.0. Higher downweights large residuals more • Huber threshold huber_k. Typical 1.5 to 3.0. Higher admits more outliers • Curvature guard curv_guard. Typical 0.3 to 1.0. Higher reduces influence when curve is tight • Forecast blend lead_blend. 0 disables. Typical 0.10 to 0.40 • Forecast cap lead_limit. Typical 1 to 5 minticks • Show chosen L and metrics show_debug. Diagnostics toggle Optional: enable diagnostics to see length, direction, and energy Realism and responsible publication • No performance claims. Past results never guarantee future outcomes • Shapes can move while bars are open and settle on close • Use on standard candles for analysis and combine with your own risk process Honest limitations and failure modes • Very quiet regimes can reduce energy contrast, length selection may hover near the bounds • Gap heavy symbols can disrupt quadratic fit on the window edges • Excessive forecast blend may look anticipatory; use low values and the cap
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exluxの投稿
Directional EMA - For Loop | Lyro RSDirectional EMA - For Loop | Lyro RS Introduction This indicator combines multi-type moving averages, loop-based momentum scoring, and divergence detection for adaptive trend and reversal analysis. Key Features: Multiple Moving Average Selection System: Choose from 16 different MA types - HMA, ALMA and JMA etc. To match your style best. For Loop Based Scoring: Uses a From / To system to calculate cumulative buying/selling pressure across recent price action. Signal Threshold: Long / Short threshold levels to control the sensitivity for different market conditions. Divergence Detection: Regular bullish / bearish with clear labels for potential reversal points. Clean Visuals: Multiple color themes with table and color based indicator line for easy reading. How It Works: Core Calculation: The indicator first creates a directional signal by comparing price to your selected moving average, normalized for current volatility. Loop Analysis: This signal feeds into a for-loop that scores recent price history, generating a cumulative momentum value. Signal Generation: Bullish signals trigger when the score crosses above the Upper Threshold Bearish signals trigger when the score crosses below the Lower Threshold Divergence Alerts: Automatically detects when price makes new highs/lows that aren't confirmed by the oscillator. Practical Use: Trend Identification: The color-coded oscillator and signal table help confirm trend direction. Reversal Warning: Divergence labels highlight potential trend exhaustion points for careful watch. Customization: Adjust MA type and length for sensitivity tuning Modify loop parameters (From/To) to change analysis depth Fine-tune threshold levels for signal frequency Enable/disable divergence detection as needed ⚠️ Disclaimer This tool is for technical analysis education only. It does not guarantee results or constitute financial advice. Always use proper risk management and combine with other analysis methods. Past performance doesn't predict future results.
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LyroRSの投稿
vagab0nd AlgoCombination of simple and exponential moving averages, SuperIchi cloud by LuxAlgo (love that group!), and a conglomeration of various indicators I've compiled over the years to try to spot tops and bottoms. My custom indicator will highlight the background either green or orange/red and will show small yellow, or larger white arrows to indicate potential tops and bottoms. It is oscillator based so it can often show a strong signal for a top or bottom where price can rebound from, but will often retest or even stop loss run the previous signal area while not showing another signal. This indicates an underlying divergence that can potentially be taken advantage of.
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v4gab0ndの投稿
Magnus Bestest 2This indicator is a sophisticated version of my Magnus Bestest signature move only as this script is highly advanced and has a huge amount of lines of code and structures so I had to create a new separate indicator for it. It signals only when there is a very nice liquidity and broken pivot points, confirming a truly nice trade opportunity. My main indicator named Magnus Bestest is still working great and has all the other signals and alerts. DISCLAIMER: I'm not a financial adviser and this is not a financial advise, just for educational purposed. Remember, most traders lose money.
Pine Script® インジケーター
MagnusBestestの投稿
Trading Toolkit - Comprehensive AnalysisTrading Toolkit – Comprehensive Analysis A unified trading analysis toolkit with four sections: 📊 Company Info Fundamentals, market cap, sector, and earnings countdown. 📅 Performance Date‑range analysis with key metrics. 🎯 Market Sentiment CNN‑style Fear & Greed Index (7 components) + 150‑SMA positioning. 🛡️ Risk Levels ATR/MAD‑based stop‑loss and take‑profit calculations. Key Features CNN‑style Fear & Greed approximation using: Momentum: S&P 500 vs 125‑DMA Price Strength: NYSE 52‑week highs vs lows Market Breadth: McClellan Volume Summation (Up/Down volume) Put/Call Ratio: 5‑day average (inverted) Volatility: VIX vs 50‑DMA (inverted) Safe‑Haven Demand: 20‑day SPY–IEF return spread Junk‑Bond Demand: HY vs IG credit spread (inverted) Normalization: z‑score → percentile (0–100) with ±3 clipping. CNN‑aligned thresholds: Extreme Fear: 0–24 | Fear: 25–44 | Neutral: 45–54 | Greed: 55–74 | Extreme Greed: 75+. Risk tools: ATR & MAD volatility measures with configurable multipliers. Flexible layout: vertical or side‑by‑side columns. Data Sources S&P 500: CBOE:SPX or AMEX:SPY NYSE: INDEX:HIGN, INDEX:LOWN, USI:UVOL, USI:DVOL Options: USI:PCC (Total PCR), fallback INDEX:CPCS (Equity PCR) Volatility: CBOE:VIX Treasuries: NASDAQ:IEF Credit Spreads: FRED:BAMLH0A0HYM2, FRED:BAMLC0A0CM Risk Management ATR risk bands: 🟢 ≤3%, 🟡 3–6%, ⚪ 6–10%, 🟠 10–15%, 🔴 >15% MAD‑based stop‑loss and take‑profit calculations. Author: Daniel Dahan (AI Generated, Merged & enhanced version with CNN‑style Fear & Greed)
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danny_dahanの投稿
mfi_maThis combination is a powerful technical analysis strategy that merges momentum and volume (from the MFI) with the underlying trend direction (from the Moving Average). The core philosophy is simple: Use the Moving Average to determine the market's direction, and use the MFI to find optimal entry points within that trend. This approach moves beyond using the MFI in isolation, which can generate false signals in a strong, trending market. It adds a crucial layer of context, significantly improving the quality of your signals.
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enofortradeの投稿
Crypto Index Price# Crypto Index Price - Indicator Description ## 📊 What is this indicator? **Crypto Index Price** is an indicator for creating your own cryptocurrency index based on an equal-weighted portfolio. It allows you to track the overall dynamics of the cryptocurrency market through a composite index of selected assets. ## 🎯 Key Features - **Up to 20 assets in the index** — create an index from any trading pairs - **Equal-weighted methodology** — each asset has the same weight in the index - **Moving average** — optional trend filter for the index - **Flexible visualization settings** — customizable colors and line thickness ## 📈 How to Use The indicator is displayed in a separate pane below the chart and shows: 1. **Blue line** — crypto index value 2. **Orange line** (optional) — moving average of the index ### Trading Applications: - **Identify overall market trend** — if the index is rising, most coins are in an uptrend - **Divergences** — divergence between your asset and the index may signal local opportunities - **Signal confirmation** — use the index to confirm trading decisions on individual coins - **Market condition filter** — trade longs when index is above MA, shorts when below ## ⚙️ Settings ### Assets (Symbols) - **Asset 1-10** — main cryptocurrencies (default: BTC, ETH, BNB, SOL, XRP, ADA, AVAX, LINK, DOGE, TRX) - **Asset 11-20** — additional slots for index expansion ### Visual Parameters - **Index line color** — main line color (default: blue) - **Line width** — from 1 to 5 pixels - **Show moving average** — enable/disable MA - **MA period** — moving average calculation period (default: 20) - **MA color** — moving average line color (default: orange) ## 💡 Recommendations - For a top coins index, use 5-10 largest cryptocurrencies by market cap - For an altcoin index, add medium and small coins from your sector - Use MA to filter false signals and identify the global trend - Compare individual asset behavior with the index to find anomalies ## ⚠️ Important The indicator uses equal-weighted methodology — each coin contributes equally regardless of price or market cap. This differs from cap-weighted indices and may provide a different market perspective. --- *This indicator is intended for analysis and is not trading advice. Always conduct your own analysis before making trading decisions.* ---
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AlekMelの投稿
Simulated Liquidity Zone Heatmap (SLZH) v5 (Stable)# 📈 Simulated Liquidity Zone Heatmap (SLZH) v5 - Order Flow Proxy & Adaptive VWAP ## 💡 Overview The **Simulated Liquidity Zone Heatmap (SLZH)** is an advanced, stable Pine Script indicator designed to give traders an edge by visualizing **structural market liquidity** and **institutional order flow**. It acts as a powerful proxy for structural zones (like average cost basis) that are often missed by traditional technical analysis. SLZH achieves this by combining two highly effective components: 1. **Volume-Based Liquidity Zones (VBLZ):** A dynamic, adaptive heatmap based on **Volume-Weighted Average Price (VWAP)** and Standard Deviation. 2. **Order Block (OB) Signals:** Stable, high-conviction signals marking the origin of strong impulsive moves. --- ## 📊 Key Features & Interpretation ### 1. Volume-Based Liquidity Zones (VBLZ) - The Adaptive Heatmap The VBLZ dynamically paints a three-tiered support/resistance system, representing the market's average cost basis and conviction. This is primarily used as a **mean-reversion tool**. | Component | Interpretation | Trading Action | | :--- | :--- | :--- | | **VWAP Center** (White Line) | The **Center of Liquidity**. Price is often attracted back to this line. | Use as a **Primary Target** when trading from the outer zones. | | **Strong VBLZ** (Darkest Color) | **Highest Volume Concentration** (1 StdDev). Primary structural support/resistance. | Look for **Reversals** when price enters this zone. | | **Mid/Weak VBLZ** (Lighter Colors) | Secondary areas of interest. | Use as **Secondary Targets** or to confirm an extended move. | ### 2. Order Block (OB) Signals - Structural Support/Resistance The OB signals mark the last counter-trend candle before a strong, sustained move, indicating a potential institutional supply or demand zone. These are displayed as stable triangles on the chart. * **Bullish OB** (Green Triangle Up): Marks a potential **Demand Zone**. Look for high-probability **long entries** when price returns to the area of this signal. * **Bearish OB** (Red Triangle Down): Marks a potential **Supply Zone**. Look for high-probability **short entries** when price returns to the area of this signal. --- ## 🎯 High-Conviction Trading Strategy The most effective way to use SLZH is to look for **confluence** between the dynamic VBLZ and the static OB signals. This combination creates the highest probability trade setups. | Trade Setup | VBLZ Condition | OB Signal Condition | Action | Rationale | | :--- | :--- | :--- | :--- | :--- | | **High-Conviction Long** | Price is near or entering the **Strong VBLZ** from above. | A **Bullish OB Signal** is present in the same area. | **Enter Long** | Strong alignment between the market's average cost basis (VBLZ) and a structural demand zone (OB). | | **High-Conviction Short** | Price is near or entering the **Strong VBLZ** from below. | A **Bearish OB Signal** is present in the same area. | **Enter Short** | Strong alignment between the market's average cost basis (VBLZ) and a structural supply zone (OB). | ### Setting Up Alerts The script is equipped with three critical alert conditions for automated monitoring: 1. **Price in Strong VBLZ:** Notifies you when price enters the highest conviction heatmap zone. 2. **Bullish OB Signal:** Notifies you when a new Demand Zone is established. 3. **Bearish OB Signal:** Notifies you when a new Supply Zone is established. --- ## ⚙️ Customization (Inputs) Adjust the indicator's sensitivity via the settings menu: * **VBLZ Lookback Length:** Controls the recency of the heatmap calculation. **Higher values** create a smoother, longer-term zone. * **OB Min Price Move (ATR Multiplier):** Filters the Order Blocks. **Increase this value** to show only the highest-conviction zones that led to the most powerful price moves. --- **Note on Stability:** This is **v5**, a highly stable version optimized to avoid common Pine Script runtime errors. It uses stable `plotshape` signals instead of persistent boxes for the Order Blocks to ensure reliable performance on all charts.
Pine Script® インジケーター
raniaesmael4の投稿
ema200 plus Description: This advanced indicator displays Exponential Moving Averages (EMA) across multiple timeframes to help traders identify trend direction and strength across different market perspectives. Key Features: Multi-Timeframe EMA Analysis: Plots 200-period EMA on four different timeframes: 30-minute, 1-hour, 4-hour, and Daily Each timeframe is displayed with distinct colors for easy visual identification Visual Elements: Chart Lines: Four colored EMA lines plotted directly on the price chart Price Labels: Clear labels showing each EMA's current value at the latest bar Color-coded Table: Comprehensive data table showing price position relative to each EMA Trend Identification: Bullish Signal: When price closes above an EMA (green background in table) Bearish Signal: When price closes below an EMA (dark background in table) Helps identify confluence when multiple timeframes align in direction Customizable Settings: Adjustable EMA length (default: 200 periods) Customizable line width and offset Flexible table positioning (top/middle/bottom, left/center/right) Configurable table cell size and text appearance Swing traders analyzing multiple timeframes Position traders looking for trend confirmation Technical analysts seeking confluence across time horizons This indicator provides a comprehensive view of market trends across different time perspectives, helping traders make more informed decisions based on multi-timeframe analysis. This indicator does not provide trading advice. It is for educational and informational purposes only. **指标名称：多时间框架200 EMA** **描述：** 这款高级指标在多个时间框架上显示指数移动平均线（EMA），帮助交易者识别不同市场视角下的趋势方向和强度。 **主要特点：** 1. **多时间框架EMA分析：** - 在四个不同时间框架上绘制200周期EMA：30分钟、1小时、4小时和日线 - 每个时间框架使用独特颜色显示，便于视觉识别 2. **视觉元素：** - **图表线：** 在价格图表上直接绘制四条彩色EMA线 - **价格标签：** 清晰显示最新K线处各EMA的当前值 - **颜色编码表格：** 综合数据表格显示价格相对于各EMA的位置 3. **趋势识别：** - **看涨信号：** 当价格收于EMA上方时（表格中显示绿色背景） - **看跌信号：** 当价格收于EMA下方时（表格中显示深色背景） - 帮助识别多个时间框架方向一致时的共振信号 4. **可自定义设置：** - 可调整EMA长度（默认：200周期） - 可自定义线宽和偏移量 - 灵活的表格定位（上/中/下，左/中/右） - 可配置表格单元格大小和文本外观 **适合人群：** - 分析多时间框架的摆动交易者 - 寻求趋势确认的头寸交易者 - 寻找不同时间维度共振信号的技术分析师
Pine Script® インジケーター
Backspace1998の投稿
Condition Indicator – Session VWAP - Simulated BUY and SELL 🧩 Short Description (Summary): A dual-purpose trading indicator that combines moving-average-based simulated trade zones with session VWAP structure analysis to visualize short-term market bias and potential turning points. 📘 **Full Description (for the "About" section): Condition Indicator – Session VWAP and Simulated MA Structure This indicator blends simulated trade logic with session-based VWAP analysis to help traders visualize when short-term and long-term market conditions align or diverge. 🧠 Key Features Simulated Trades: The script uses two simple moving averages (short and long) to simulate theoretical long and short trade averages over time. It accumulates “positions” periodically (based on a user-defined minute interval) to illustrate how simulated positions would behave during trend shifts. Session VWAP & Structure Analysis: Calculates a dynamic VWAP and standard deviation bands for each session (daily, weekly, monthly, or hourly). Compares price action against VWAP zones to detect whether trading volume is concentrated inside or outside equilibrium. Support & Resistance Visualization: Automatically identifies potential support/resistance zones based on previous session highs/lows and relative bullish or bearish volume distribution. Market Bias Highlight: Background color changes dynamically to represent bullish or bearish simulated conditions. ⚙️ Inputs Long MA length / Short MA length: control the sensitivity of trend detection. Simulated Trade Frequency: how often simulated positions are updated (in minutes). Session Type: define the timeframe for VWAP and structure analysis (D, W, M, 60, etc.). 📈 Visualization Red and green lines indicate simulated short/long trade averages. VWAP line and deviation zones show session equilibrium shifts. Background shading represents the active simulated market condition. ⚠️ Disclaimer This script is for educational and analytical purposes only. It is not financial advice, a trading signal, or a guaranteed strategy. Always do your own research and consult a qualified financial professional before making trading decisions.
Pine Script® インジケーター
pavliatiの投稿
[Aegis]DCA grid Strategy for Crypto### **Crypto Market Long-Only Strategy (DCA with Risk Mitigation)** This strategy is a Long-only approach, often using a Dollar-Cost Averaging (DCA) method for staggered entries. It is designed to mitigate the risk of being unable to exit a position for a prolonged period, which typically occurs when a series of initial DCA entries result in a losing trade. The strategy has the following characteristics: #### **1. Markets** * Trade in highly liquid Perpetual Futures markets for cryptocurrencies. #### **2. Position Sizing** The initial entry quantity is determined by setting the **Initial Entry Ratio** in the input values. * If the **Subsequent Entry Multiplier** is 1, the maximum position size upon final entry is determined by: $$\text{Initial Entry Quantity} \times \text{Number of Entries}$$ * If the **Subsequent Entry Multiplier** is $x$, the maximum position size is determined by the following cumulative sum: $$\text{1st Entry Quantity} + (\text{1st Entry Quantity} \times x) + (\text{2nd Entry Quantity} \times x) + \dots + ((\text{n-1)th Entry Quantity} \times x)$$ #### **3. Entries** * The **1st Entry** is determined by the **Entry Sensitivity**. The first entry is automatically calculated based on an oversold condition; setting a higher sensitivity value will trigger the 1st entry in a more significant oversold situation. * Entries from the **2nd Entry onwards** are made sequentially based on the generated **Grid Spacing**. * The **Grid Spacing** is calculated as an equal interval: $$\text{Grid Spacing} = \frac{\text{Final Entry Distance}}{(\text{Number of Entries} - 1)}$$ #### **4. Exits** This strategy **does not distinguish between Stop-Loss and Take-Profit**. All entered quantities are liquidated simultaneously upon mean reversion. This transaction may result in either a loss or a profit. Generally: * If the price recovery is rapid, the trade finishes with a profit. * If the price recovery is slow, the trade finishes with a loss. Therefore, the **'resilience' or 'recovery speed'** of the underlying asset significantly influences the long-term performance of the strategy. 크립토 시장에 특화된 Long only전략입니다. DCA 방식의 분할 매수 전략이 대체로 이익 거래가 아닌 경우, 장기간 탈출하지 못할 리스크를 보완한 전략입니다. 이 전략은 다음과 같은 특징을 가지고 있습니다. ##### 1. 시장 (Markets) • 유동성이 풍부한 코인 무기한 선물 시장에서 거래한다. ##### 2. 포지션 크기 (Position Sizing) 인풋 값에 최초진입비율을 설정함으로써 1차 진입의 수량이 결정됩니다. - 추가 진입배수가 1일 때, 최대 진입 시 포지션 크기는 "1차 진입수량 * 진입횟수"에 의해 결정됩니다. - 추가 진입배수가 x일때, 1차진입물량 + (1차진입 물량 * x) + (2차진입 물량 * x) ..... + (n-1)차 진입물량 * x 의 방식으로 최대 진입 시 포지션 크기가 결정 됩니다 ##### 3. 진입 (Entries) - 1차 진입은 진입 둔감도에 의해 결정됩니다. 1차 진입은 과매도 상황을 자동적으로 계산하여 결정되며, 둔감도를 높은 값으로 설정하면 더 큰 과매도 상황에서 1차 진입이 결정됩니다. - 2차 이후의 진입은 생성된 그리드 간격에 의해 순차적으로 진입하게 됩니다. - 그리드 간격은 최종 진입 간격 / (진입 횟수 - 1) 으로 등간격으로 이루어집니다. ##### 4. 청산 (Exits) 이 전략은 손절과 익절을 구분하지 않습니다. 평균 회귀를 하는 경우 진입한 모든 물량을 일시에 청산하며, 이 거래는 손실 거래일 수도, 이익 거래일 수도 있습니다. 일반적으로, 가격 회복이 빠르게 되는 경우 이익 거래로 마무리되고, 가격 회복이 느린 경우 손실 거래로 마무리되기 때문에, 장기적으로 종목의 '회복탄력성'이 전략의 성과에 영향을 줄 수 있습니다.
Pine Script® ストラテジー
sleepsystradeの投稿
MarketMonkey-Indicator-Set-1 - GMMA open 🧠 MarketMonkey-Indicator-Set-1 — GMMA Open GMMA (Guppy Multiple Moving Average) Toolkit for Trend Clarity & Timing The MarketMonkey GMMA Open indicators brings a clean, high-performance visual of trend strength and direction using multiple exponential moving averages (EMAs) across short- and long-term time frames. Designed for traders who want to see momentum shifts and market transitions as they happen, this version overlays directly on the price chart for quick and confident reads. 🔍 How It Works * Short-term EMAs (3–15) track trader sentiment and momentum. * Long-term EMAs (30–60) show investor trend commitment. * The indicator dynamically colors the long-term EMAs: * 🔵 Blue : Upward momentum * 🔴 Red : Downward momentum When the short-term group expands above the long-term group, it signals strength and potential continuation. Tightening or compression may warn of pauses or reversals. 💡 Features * 12 adjustable EMA periods (customize your GMMA spacing) * Automatic color shifts for trend clarity * Live price flag for easy reference * Compact ticker/date display in the top-right corner * Minimalist, overlay-based design — no clutter, just clarity 📈 Best Used For * Spotting early trend changes * Confirming continuation or breakout setups * Identifying compression zones before reversals * Overlaying on ASX, S&P, FX, Gold, or Crypto charts 🔔 Part of the MarketMonkey Indicator Set series — tools built for real-world trend recognition and momentum trading.
Pine Script® インジケーター
Market_Monkey_AUの投稿
Profitolio Swing Strategy V1.2Profitolio Swing Strategy V1.2 - User Guide Overview The Profitolio Swing Strategy (PSS V1.2) is a comprehensive swing trading indicator designed to identify high-probability trade setups by combining multiple technical analysis methods. This indicator helps traders capture medium-term price movements while managing risk effectively. What This Indicator Does This indicator analyzes market momentum and volatility to generate clear BUY and SELL signals. It uses a confluence approach, meaning signals only appear when multiple conditions align, reducing false signals and improving trade quality. Key Features Visual Components 1. Signal Markers Green Triangle (BUY): Appears below candles when bullish conditions align Red Triangle (SELL): Appears above candles when bearish conditions align 2. Reference Lines Blue Line: 21-period Exponential Moving Average (EMA) - shows medium-term trend direction Orange Circles: Volume Weighted Average Price (VWAP) - represents fair value based on price and volume 3. Stoploss Management Red Horizontal Line: Active stoploss for long positions (appears after BUY signal) Green Horizontal Line: Active stoploss for short positions (appears after SELL signal) "SL HIT!" Label: Appears when price touches the stoploss level 4. Background Color Light Green: Indicates overall bullish market condition Light Red: Indicates overall bearish market condition No Color: Neutral/mixed conditions 5. Dashboard (Top Right) Shows the status of multiple trend variants and the final decision: Individual variant status (Variant 1, 2, 3) Overall decision (BULLISH/BEARISH/NEUTRAL) Active stoploss value Parameters Used ATR-Based Calculations The indicator uses different Average True Range (ATR) and multipliers which measures market volatility Lower multipliers: More sensitive, faster signals Higher multipliers: Less sensitive, more stable signals Moving Averages 21 EMA: Helps identify the prevailing trend direction. Price above EMA suggests uptrend, below suggests downtrend VWAP: Acts as dynamic support/resistance. Institutional traders often use this as a reference point How to Use This Indicator Step 1: Wait for Signal Confirmation Do not trade when background is absent (neutral condition) Look for BUY signal when background turns light green Look for SELL signal when background turns light red Step 2: Entry Rules For Long Positions (BUY): Wait for green triangle below candle Confirm price is above the 21 EMA (blue line) for stronger probability Enter at current market price or next candle open For Short Positions (SELL): Wait for red triangle above candle Confirm price is below the 21 EMA (blue line) for stronger probability Enter at current market price or next candle open Step 3: Risk Management Stoploss Placement: For BUY trades: The indicator automatically marks a stoploss level (red line) based on recent price action For SELL trades: The indicator automatically marks a stoploss level (green line) based on recent price action These levels persist until hit or trend reverses Exit Strategies: Stoploss Exit: Exit when price hits the marked stoploss line (you'll see "SL HIT!" label) Signal Reversal: Exit when opposite signal appears Background Change: Consider exiting when background color disappears (trend weakening) Step 4: Additional Confirmation Use EMA & VWAP for Confluence: Stronger BUY: When price is above both EMA and VWAP Stronger SELL: When price is below both EMA and VWAP Caution: When price is between EMA and VWAP (mixed signals) Best Practices ✅ DO: Use on higher timeframes (4H, Daily) for swing trading Wait for clear signal confirmation Respect the stoploss levels Check dashboard for overall market condition Use on trending markets for best results ❌ DON'T: Trade during neutral/gray periods Ignore stoploss levels Trade against the background color Use on very short timeframes (1min, 5min) - designed for swing trading Enter trades when all three variants show mixed signals Alert Setup The indicator includes built-in alerts: "All Bullish": Triggered on BUY signal "All Bearish": Triggered on SELL signal "Buy SL Hit": When long stoploss is touched "Sell SL Hit": When short stoploss is touched Timeframe Recommendations Best: Daily, 4-Hour charts Good: 1-Hour charts Not Recommended: Below 1-Hour (too many false signals) Understanding the Dashboard The dashboard shows a breakdown of the decision-making process: Variant 1, 2, 3: Individual component analysis Decision: Final verdict (requires all variants to agree) Active SL: Current stoploss level for open position Risk Disclaimer This indicator is a tool to assist in trading decisions. Always: Use proper position sizing Never risk more than 1-2% per trade Combine with your own analysis Practice on paper/demo accounts first Past performance doesn't guarantee future results Note: This indicator works best in trending markets and may generate fewer signals in ranging/choppy conditions. Patience is key to successful swing trading.
Pine Script® インジケーター
profitolioの投稿