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Line Break StrategyLine Break Strategy Entry rule: Long on a bullish line and short on a bearish line. Backtest: Profit factors are shown below for three-line break. Daily time frame, FXCM broker. EURUSD: 1.267, USDJPY: 1.039, GBPUSD: -0.816, AUDUSD: -0.959 S&P500: -0.783, Nikkei225: 1.099 CrudeOil: 1.03, Gold: 1.196 BTCUSD: -0.883 Reference: Steve Nison, Beyond Candlesticks - New Japanese Charting Techniques Revealed Note: This strategy doesn't work properly on the linebreak chart. A good example is shown below. The entry prices are not always correct. If you have signal, but the next candle moves in the opposite direction, the entry price is drawn at the Open of the new candle instead of the Close of the previous candle. The results of backtest are unreliable due to this reason.
Pine Script®策略
由Mizuki32提供
7
EMA & SMA with FRACTAL DEVIATION BANDS by @XeL_ArjonaEMA & SMA with FRACTAL DEVIATION BANDS Ver. 1.0.25.08.2015 By Ricardo M Arjona @XeL_Arjona DISCLAIMER: DISCLAIMER: The Following indicator/code IS NOT intended to be a formal investment advice or recommendation by the author, nor should be construed as such. Users will be fully responsible by their use regarding their own trading vehicles/assets. The embedded code and ideas within this work are FREELY AND PUBLICLY available on the Web for NON LUCRATIVE ACTIVITIES and must remain as is. WHAT IS THIS? This is the adaptation of the FRACTAL DEVIATION BANDS to be used on Traditional Moving Averages (Simple & Exponential). ALL NEW IDEAS OR MODIFICATIONS to these indicator(s) are Welcome in favor to deploy a better and more accurate readings. I will be very glad to be notified at Twitter or TradingVew accounts at: @XeL_Arjona Any important addition to this work MUST REMAIN PUBLIC by means of CreativeCommons CC & TradingView. 2015
Pine Script®指标
由xel_arjona提供
1
Acc/Dist. Cloud with Fractal Deviation Bands by @XeL_ArjonaACCUMULATION / DISTRIBUTION CLOUD with MORPHIC DEVIATION BANDS Ver. 2.0.beta.23:08:2015 by Ricardo M. Arjona @XeL_Arjona DISCLAIMER The Following indicator/code IS NOT intended to be a formal investment advice or recommendation by the author, nor should be construed as such. Users will be fully responsible by their use regarding their own trading vehicles/assets. The embedded code and ideas within this work are FREELY AND PUBLICLY available on the Web for NON LUCRATIVE ACTIVITIES and must remain as is. Pine Script code MOD's and adaptations by @XeL_Arjona with special mention in regard of: Buy (Bull) and Sell (Bear) "Power Balance Algorithm by Vadim Gimelfarb published at Stocks & Commodities V. 21:10 (68-72). Custom Weighting Coefficient for Exponential Moving Average (nEMA) adaptation work by @XeL_Arjona with contribution help from @RicardoSantos at TradingView @pinescript chat room. Morphic Numbers (PHI & Plastic) Pine Script adaptation from it's algebraic generation formulas by @XeL_Arjona Fractal Deviation Bands idea by @XeL_Arjona CHANGE LOG: ACCUMULATION / DISTRIBUTION CLOUD: I decided to change it's name from the Buy to Sell Pressure. The code is essentially the same as older versions and they are the center core (VORTEX?) of all derived New stuff which are: MORPHIC NUMBERS: The "Golden Ratio" expressed by the result of the constant "PHI" and the newer and same in characteristics "Plastic Number" expressed as "PN". For more information about this regard take a look at: HERE! CUSTOM(K) EXPONENTIAL MOVING AVERAGE: Some code has cleaned from last version to include as custom function the nEMA , which use an additional input (K) to customise the way the "exponentially" is weighted from the custom array. For the purpose of this indicator, I implement a volatility algorithm using the Average True Range of last 9 periods multiplied by the morphic number used in the fractal study. (Golden Ratio as default) The result is very similar in response to classic EMA but tend to accelerate or decelerate much more responsive with wider bars presented in trending average. FRACTAL DEVIATION BANDS: The main idea is based on the so useful Standard Deviation process to create Bands in favor of a multiplier (As John Bollinger used in it's own bands) from a custom array, in which for this case is the "Volume Pressure Moving Average" as the main Vortex for the "Fractallitly", so then apply as many "Child bands" using the older one as the new calculation array using the same morphic constant as multiplier (Like Fibonacci but with other approach rather than %ratios). Results are AWSOME! Market tend to accelerate or decelerate their Trend in favor of a Fractal approach. This bands try to catch them, so please experiment and feedback me your own observations. EXTERNAL TICKER FOR VOLUME DATA: I Added a way to input volume data for this kind of study from external tickers. This is just a quicky-hack given that currently TradingView is not adding Volume to their Indexes so; maybe this is temporary by now. It seems that this part of the code is conflicting with intraday timeframes, so You are advised. This CODE is versioned as BETA FOR TESTING PROPOSES. By now TradingView Admins are changing lot's of things internally, so maybe this could conflict with correct rendering of this study with special tickers or timeframes. I will try to code by itself just the core parts of this study in order to use them at discretion in other areas. ALL NEW IDEAS OR MODIFICATIONS to these indicator(s) are Welcome in favor to deploy a better and more accurate readings. I will be very glad to be notified at Twitter or TradingView accounts at: @XeL_Arjona
Pine Script®指标
由xel_arjona提供
10
Macro Momentum – 4-Theme, Vol Target, RebalanceMacro Momentum — 4-Theme, Vol Target, Rebalance Purpose. A macro-aware strategy that blends four economic “themes”—Business Cycle, Trade/USD, Monetary Policy, and Risk Sentiment—into a single, smoothed Composite signal. It then: gates entries/exits with hysteresis bands, enforces optional regime filters (200-day bias), and sizes the position via volatility targeting with caps for long/short exposure. It’s designed to run on any chart (index, ETF, futures, single stocks) while reading external macro proxies on a chosen Signal Timeframe. How it works (high level) Build four theme signals from robust macro proxies: Business Cycle: XLI/XLU and Copper/Gold momentum, confirmed by the chart’s price vs a long SMA (default 200D). Trade / USD: DXY momentum (sign-flipped so a rising USD is bearish for risk assets). Monetary Policy: 10Y–2Y curve slope momentum and 10Y yield trend (steepening & falling 10Y = risk-on; rising 10Y = risk-off). Risk Sentiment: VIX momentum (bearish if higher) and HYG/IEF momentum (bullish if credit outperforms duration). Normalize & de-noise. Optional Winsorization (MAD or stdev) clamps outliers over a lookback window. Optional Z-score → tanh mapping compresses to ~ for stable weighting. Theme lines are SMA-smoothed; the final Composite is LSMA-smoothed (linreg). Decide direction with hysteresis. Enter/hold long when Composite ≥ Entry Band; enter/hold short when Composite ≤ −Entry Band. Exit bands are tighter than entry bands to avoid whipsaws. Apply regime & direction constraints. Optional Long-only above 200MA (chart symbol) and/or Short-only below 200MA. Global Direction control (Long / Short / Both) and Invert switch. Size via volatility targeting. Realized close-to-close vol is annualized (choose 9-5 or 24/7 market profile). Target exposure = TargetVol / RealizedVol, capped by Max Long/Max Short multipliers. Quantity is computed from equity; futures are rounded to whole contracts. Rebalance cadence & execution. Trades are placed on Weekly / Monthly / Quarterly rebalance bars or when the sign of exposure flips. Optional ATR stop/TP for single-stock style risk management. Inputs you’ll actually tweak General Signal Timeframe: Where macro is sampled (e.g., D/W). Rebalance Frequency: Weekly / Monthly / Quarterly. ROC & SMA lengths: Defaults for theme momentum and the 200D regime filter. Normalization: Z-score (tanh) on/off. Winsorization Toggle, lookback, multiplier, MAD vs Stdev. Risk / Sizing Target Annualized Vol & Realized Vol Lookback. Direction (Long/Short/Both) and Invert. Max long/short exposure caps. Advanced Thresholds Theme/Composite smoothing lengths. Entry/Exit bands (hysteresis). Regime / Execution Long-only above 200MA, Short-only below 200MA. Stops/TP (optional) ATR length and SL/TP multiples. Theme Weights Per-theme scalars so you can push/pull emphasis (e.g., overweight Policy during rate cycles). Macro Proxies Symbols for each theme (XLI, XLU, HG1!, GC1!, DXY, US10Y, US02Y, VIX, HYG, IEF). Swap to alternatives as needed (e.g., UUP for DXY). Signals & logic (under the hood) Business Cycle = ½ ROC(XLI/XLU) + ½ ROC(Copper/Gold), then confirmed by (price > 200SMA ? +1 : −1). Trade / USD = −ROC(DXY). Monetary Policy = 0.6·ROC(10Y–2Y) − 0.4·ROC(10Y). Risk Sentiment = −0.6·ROC(VIX) + 0.4·ROC(HYG/IEF). Each theme → (optional Winsor) → (robust z or scaled ROC) → tanh → SMA smoothing. Composite = weighted average → LSMA smoothing → compare to bands → dir ∈ {−1,0,+1}. Rebalance & flips. Orders fire on your chosen cadence or when the sign of exposure changes. Position size. exposure = clamp(TargetVol / realizedVol, maxLong/Short) × dir. Note: The script also exposes Gross Exposure (% equity) and Signed Exposure (× equity) as diagnostics. These can help you audit how vol-targeting and caps translate into sizing over time. Visuals & alerts Composite line + columns (color/intensity reflect direction & strength). Entry/Exit bands with green/red fills for quick polarity reads. Hidden plots for each Theme if you want to show them. Optional rebalance labels (direction, gross & signed exposure, σ). Background heatmap keyed to Composite. Alerts Enter/Inc LONG when Composite crosses up (and on rebalance bars). Enter/Inc SHORT when Composite crosses down (and on rebalance bars). Exit to FLAT when Composite returns toward neutral (and on rebalance bars). Practical tips Start higher timeframes. Daily signals with Monthly rebalance are a good baseline; weekly signals with quarterly rebalances are even cleaner. Tune Entry/Exit bands before anything else. Wider bands = fewer trades and less noise. Weights reflect regime. If policy dominates markets, raise Monetary Policy weight; if credit stress drives moves, raise Risk Sentiment. Proxies are swappable. Use UUP for USD, or futures-continuous symbols that match your data plan. Futures vs ETFs. Quantity auto-rounds for futures; ETFs accept fractional shares. Check contract multipliers when interpreting exposure. Caveats Macro proxies can repaint at the selected signal timeframe as higher-TF bars form; that’s intentional for macro sampling, but test live. Vol targeting assumes reasonably stationary realized vol over the lookback; if markets regime-shift, revisit volLook and targetVol. If you disable normalization/winsorization, themes can become spikier; expect more hysteresis band crossings. What to change first (quick start) Set Signal Timeframe = D, Rebalance = Monthly, Z-score on, Winsor on (MAD). Entry/Exit bands: 0.25 / 0.12 (defaults), then nudge until trade count and turnover feel right. TargetVol: try 10% for diversified indices; lower for single stocks, higher for vol-sell strategies. Leave weights = 1.0 until you’ve inspected the four theme lines; then tilt deliberately.
Pine Script®策略
由GabrielAmadeusLau提供
8 SMA Bands (Points)The "8 SMA Bands (Points)" indicator creates a set of eight Simple Moving Average (SMA) bands with adjustable offsets, overlaid on a price chart. Here’s a breakdown: Purpose: It tracks price trends using multiple SMAs of varying lengths (default 25, 50, 100, 200, 400, 800, 1600 periods) and adds upper and lower bands around each SMA based on point offsets, helping identify potential support, resistance, and trend strength. Key Components: SMAs: Eight SMAs are calculated using closing prices with lengths ranging from 25 to 1600 periods. Each SMA is plotted with a distinct color and line thickness (e.g., MA 1 is blue, MA 8 is white with thicker lines). Bands: For each SMA, upper and lower bands are created by adding or subtracting a point-based offset (suggestions are to use default Murray Math based numbers e.g., 0.305176 for MA 1, 39.062528 for MA 8) multiplied by a global multiplier (default 1.0). These offsets define the band width and are customizable. Customization: Users can adjust SMA lengths, offset points, colors, and the global multiplier via input settings grouped by each MA. Visuals: SMAs are plotted as solid lines with increasing thickness for longer periods (e.g., MA 6–8 use thicker lines or circles). Bands are plotted as semi-transparent lines matching the SMA color, with longer-term bands (MA 6–7) using a different style for emphasis. Usage: The indicator helps traders visualize trend direction (upward if price is above most SMAs, downward if below) and potential reversal zones where price interacts with band boundaries. The flattening or crossing of bands can signal momentum shifts. The coming together of multiple envelope tops/bottoms can signal reversal zones of various degrees based on how many envelopes come together. More envelopes converging mean a more significant top or bottom. This indicator is particularly useful for identifying multi-timeframe trends and volatility zones on assets like Gold Futures, with flexibility to fine-tune based on market conditions.
Pine Script®指标
由surfchaser提供
Multi Moving Averages8MA Cross Overview The "8MA Cross" indicator is a versatile tool that allows traders to plot up to eight fully customizable moving averages (MAs) on their chart. This indicator provides a comprehensive view of market trends across different timeframes by offering extensive configuration options for each individual moving average. Whether you are looking to identify short-term momentum or long-term trend direction, the 8MA Cross indicator offers the flexibility to tailor your analysis to your specific trading strategy. Features Eight Independent Moving Averages: Display from one to eight moving averages simultaneously. Multiple MA Types: Each moving average can be individually set to one of eight different types: SMA (Simple Moving Average) EMA (Exponential Moving Average) WMA (Weighted Moving Average) VWMA (Volume-Weighted Moving Average) RMA (RMA Moving Average) HMA (Hull Moving Average) ALMA (Arnaud Legoux Moving Average) LSMA (Least Squares Moving Average) Full Customization: For each of the eight moving averages, you can adjust the length, line width, and color to fit your visual preferences and analytical needs. Toggle Visibility: Easily show or hide any of the moving averages directly from the settings menu, allowing you to focus on the MAs that are most relevant at any given time. How to Use The primary purpose of this indicator is to provide a configurable set of moving averages for trend analysis and signal generation. Trend Identification: Use a combination of short-term and long-term moving averages to gauge the direction and strength of the prevailing trend. When shorter-term MAs are above longer-term MAs, it typically indicates an uptrend, and vice-versa for a downtrend. Crossover Signals: Look for crossover events as potential entry or exit signals. For example, a classic "Golden Cross" occurs when a shorter-period MA (e.g., 50) crosses above a longer-period MA (e.g., 200), often signaling the start of a bull market. A "Death Cross" is the opposite. Dynamic Support and Resistance: Moving averages often act as dynamic levels of support in an uptrend and resistance in a downtrend. Traders can watch for price to pull back and test these MAs. To configure the indicator, open the settings panel. You will find eight sections, labeled "MA1 Settings" through "MA8 Settings". Within each section, you can enable or disable the MA, select its type, define its length, and customize its appearance. Disclaimer This indicator is designed as a technical analysis tool and should be used in conjunction with other forms of analysis and proper risk management. Past performance does not guarantee future results, and traders should thoroughly test any strategy before implementing it with real capital.
Pine Script®指标
由dchunt-stack提供
Mongoose Compass Ribbon — Regime Overlay & SizingWhat it does Mongoose Compass Ribbon paints the price chart background by market regime and displays a suggested position size. It mirrors the Compass panel’s 4-pillar score (0–4) and can lock calculations to Weekly while you view Daily or intraday charts. Regimes Expansion: score ≥ 3 (green) Neutral: score = 2 (orange) Contraction: score ≤ 1 (red) Pillars (same as panel): RS IWM/SPY (small-cap leadership) Credit HYG/LQD (risk financing) Growth Copper/Gold (cyclical vs safety) Participation (first available): Breadth → CBOE:DSPX → RSP/SPY proxy A floating label shows Score and Suggested size (default ramp: 0/30/60/90/100% for scores 0–4). How to use Anchor on Weekly. Keep Regime Timeframe = W so the ribbon shows the higher-timeframe state while you trade on Daily. Act on flips: Expansion (≥3): increase beta, reduce hedges. Neutral (2): keep moderate beta; favor quality/mega vs small caps until RS or Cu/Au turns. Contraction (≤1): de-risk, rotate defensive, add hedges. Turn on the built-in alerts: Expansion Regime and Contraction Regime. Methodology Prices are fetched via request.security on the selected Regime Timeframe. Each pillar uses ratio signals smoothed with an SMA (Smoothing Length), and binary rules: RS / Credit / Growth: fast SMA(len) vs slow SMA(len*2) Breadth: normalized > 60 DSPX: normalized < 40 RSP/SPY proxy: fast > slow Score is the count of green pillars (0–4). Suggested size is a fixed mapping from score (user-editable). Settings Sources Defaults use liquid ETFs (BATS/AMEX). Copper/Gold can be switched to futures if your plan supports them. Breadth (optional): paste a %>MA symbol if you have one. If blank, the script uses CBOE:DSPX; if DSPX isn’t available it falls back to RSP/SPY. Calculation Smoothing Length (20) – higher = steadier regime; lower = faster. Normalization Length (60) – window for 0–100 scaling in pillar tests. Regime Timeframe (W) – lock regime to Weekly while viewing lower timeframes. Visual Ribbon Opacity controls how strong the background shading is. Recommended usage Apply the Ribbon to SPY/ES (broad beta) or IWM/RTY (small-cap rotation). Pair it with the Mongoose Compass v2 panel in a separate pane for the full dashboard. Limitations & disclaimer For information and education; not investment advice. Data availability varies by plan (especially futures and DSPX). Fallbacks apply automatically.
Pine Script®指标
由TheRealMongoose提供
Mongoose Compass v2 — Regime & Position SizingWhat it does Mongoose Compass v2 is a regime‐detection dashboard and optional price-chart ribbon. It combines four market “pillars” into a 0–4 score and a suggested equity beta/position size. It is scale-independent and works on any host symbol. Pillars (green = expansion supportive): RS IWM/SPY – small-cap relative strength vs large caps Credit HYG/LQD – high-yield vs investment-grade credit Growth Cu/Au – copper vs gold (cyclical demand vs safety) Participation – uses the first available of: Breadth (% > 200-DMA) if you provide a symbol, else Cboe S&P 500 Dispersion (DSPX), else RSP/SPY equal-weight proxy Score (0–4): ≥ 3 = Expansion 2 = Neutral ≤ 1 = Contraction A panel shows each pillar’s normalized value (0–100), bias, total score, and a suggested size (default mapping: 0/30/60/90/100% for scores 0–4). The companion “Ribbon” script paints the price chart background by regime and displays the suggested size. How to use Timeframes Weekly for regime calls (recommended anchor). Daily for execution within the active regime (adds, trims, hedges). Playbook Expansion (score ≥ 3): increase risk/beta; favor cyclicals, small caps, EM; reduce hedges. Neutral (score = 2): keep moderate beta; use relative value (e.g., quality/mega vs small caps) until RS or Cu/Au turns. Contraction (score ≤ 1): de-risk; rotate to defensives/quality, gold/long duration; add hedges. Alerts (included): Expansion Regime (score ≥ 3) – risk-on trigger Contraction Regime (score ≤ 1) – risk-off trigger Methodology Prices are pulled with request.security on the chosen timeframe. Pillars are built from ratios then smoothed with an SMA (Smoothing Length, default 20). For display/comparison, series are normalized to 0–100 within a rolling window (Normalization Length, default 60). Bias rules: RS / Credit / Growth: fast SMA( len ) vs slow SMA( len*2 ) of each ratio Breadth: normalized value > 60 DSPX: normalized value < 40 (lower dispersion supports index coherence) RSP/SPY proxy: fast > slow trend test Score is the count of green pillars (0–4). Suggested size is a deterministic mapping from score (editable in settings). Notes: Host chart scaling (log vs linear) does not affect calculations. If a breadth series is unavailable, the script automatically falls back to DSPX, then to RSP/SPY. Settings Sources Default inputs use liquid ETFs (BATS/AMEX). You may switch Copper/Gold to futures (e.g., COMEX_DL:HG1!, COMEX_DL:GC1!) if your data plan supports them. Optional Breadth: paste a percent-above-MA series if you have one. DSPX: uses CBOE:DSPX when breadth is blank. If neither breadth nor DSPX resolve, the script uses RSP/SPY as a participation proxy. Calculation Smoothing Length (20) – higher = steadier regime, fewer flips; lower = faster reaction. Normalization Length (60) – window for the 0–100 scaling; increase to reduce pinning at extremes. Regime Timeframe (Ribbon only) – lock the ribbon to Weekly while viewing Daily charts. Visual Show/hide dashboard table, choose table position, dark/light theme, ribbon opacity. Recommended usage Anchor decisions on Weekly Compass; use Daily for timing. For small-cap rotation, apply on IWM/RTY; for broad beta, use SPY/ES. Output is identical regardless of host symbol because inputs are fetched internally. Limitations & disclaimer This is a systematic information tool, not investment advice. Signals can whipsaw in fast markets; confirm with your risk framework. Data availability varies by plan (especially futures and DSPX). When a source is unavailable the scripted fallbacks apply automatically.
Pine Script®指标
由TheRealMongoose提供
LA - Opening Price based Previous day Range PivotThis "LA - Opening Price based Previous day Range Pivot" indicator is a custom technical analysis tool designed for Trading View charts. It plots support and resistance levels (often referred to as pivots or ranges) based on the current opening price combined with the previous period's trading range. The "previous period" can be daily, weekly, or monthly, making it a multi-timeframe tool. These levels are projected using Fibonacci-inspired multipliers to create potential breakout or reversal zones. The core idea is inspired by concepts like the Opening Range Breakout (ORB) strategy or Fibonacci pivots, but it's customized here to use a dynamic range calculation (the maximum of several absolute price differences) rather than a simple high-low range. This makes it more robust for volatile markets. Levels are symmetric above (resistance) and below (support) the opening price, helping traders identify potential entry/exit points, stop-losses, or targets. This will be useful when there is a gap-up/down as in Nifty/Sensex . Purpose of the Indicator: To visualize potential support/resistance zones for the current trading session based on the opening price and historical range data. This helps traders anticipate price movements, such as breakouts above resistance or bounces off support Use Cases: Intraday Trading: On lower timeframes (e.g., 5-min or 15-min charts), it shows daily levels for short-term trades. Swing Trading: On higher timeframes (e.g., hourly or daily), it displays weekly/monthly levels for longer holds. Range Identification: The filled bands highlight "zones" where price might consolidate or reverse. Conditional Display: Levels only appear on appropriate timeframes (e.g., daily levels on intraday charts <60min), preventing clutter. Theoretical Basis: It builds on pivot point theory, where the opening price acts as a central pivot. Multipliers (e.g., 0.618 for Fibonacci golden ratio) project levels, assuming price often respects these ratios due to market psychology. How Calculations Work Let's dive into the math with examples. Assume a stock with: Current daily open (cdo) = $100 Previous daily high (pdh) = $105, low (pdl) = $95, close (pdc) = $102, close 2 days ago (pdc2) = $98 Step 1: Dynamic Range Calculation (var_d2): This is the max of: |pdh - pdc2| = |105 - 98| = 7 |pdl - pdc2| = |95 - 98| = 3 |pdh - pdl| = |105 - 95| = 10 (previous day range) |pdh - cdo| = |105 - 100| = 5 |pdl - cdo| = |95 - 100| = 5 |pdc - cdo| = |102 - 100| = 2 |pdc2 - cdo| = |98 - 100| = 2 Max = 10 (so range = 10). This ensures the range accounts for gaps and extended moves, not just high-low. Step 2: Level Projections: Resistance (above open): Open + (Range * Multiplier) dre6 = 100 + (10 * 1.5) = 115 dre5 = 100 + (10 * 1.27) ≈ 112.7 ... down to dre0 = 100 + (10 * 0.1) = 101 dre50 = 100 + (10 * 0.5) = 105 (midpoint) Support (below open): Open - (Range * Multiplier) dsu0 = 100 - (10 * 0.1) = 99 ... up to dsu6 = 100 - (10 * 1.5) = 85 Without Indicator With Indicator Pros and Cons Pros: Multi-Timeframe Flexibility: Seamlessly integrates daily, weekly, and monthly levels, useful for aligning short-term trades with longer trends (e.g., intraday breakout confirmed by weekly support). Dynamic Range Calculation: Unlike standard pivots (just (H+L+C)/3), it uses max of multiple diffs, capturing gaps/volatility better—great for stocks with overnight moves. Customizable via Inputs: Users can toggle levels, adjust multipliers, or change timeframes without editing code. Inline inputs keep the UI clean. Visual Aids: Filled bands make zones obvious; conditional colors highlight "tight" vs. "wide" ranges (e.g., for volatility assessment). Fibonacci Integration: Levels based on proven ratios, appealing to technical traders. Symmetric supports/resistances simplify strategy building (e.g., buy at support, sell at resistance). No Repainting: Uses historical data with lookahead, so levels are fixed once calculated—reliable for back-testing. Cons: Chart Clutter: With all toggles on, 50+ plots/fills can overwhelm the chart, especially on mobile or small screens. Requires manual disabling. Complexity for Beginners: Many inputs and calculations; without understanding fib ratios or range logic, it might confuse new users. Performance Overhead: On low timeframes (e.g., 1-min), fetching higher TF data multiple times could lag, especially with many symbols or back-tests. Assumes Volatility Persistence: Relies on previous range projecting future moves; in low-vol markets (e.g., sideways trends), levels may be irrelevant or too wide/narrow. No Alerts or Signals: Purely visual; no built-in buy/sell alerts or crossover conditions—users must add separately. Hardcoded Styles/Colors: Limited customization without code edits (e.g., can't change line styles via inputs). Also, not optimized for non-stock assets (e.g., forex with 24/7 trading). In summary, this is a versatile pivot tool for range-based trading based on Opening price, excelling in volatile markets but requiring some setup. If you're using it, start with defaults on a daily chart and toggle off unnecessary levels.
Pine Script®指标
由aravindleo_99提供
MAMA [DCAUT]█ MAMA (MESA Adaptive Moving Average) 📊 OVERVIEW The MESA Adaptive Moving Average (MAMA) represents an advanced implementation of John F. Ehlers' adaptive moving average system using the Hilbert Transform Discriminator. This indicator automatically adjusts to market cycles, providing superior responsiveness compared to traditional fixed-period moving averages while maintaining smoothness. MAMA dynamically calculates two lines: the fast-adapting MAMA line and the following FAMA (Following Adaptive Moving Average) line. The system's core strength lies in its ability to automatically detect and adapt to the dominant market cycle, reducing lag during trending periods while providing stability during consolidation phases. 🎯 CORE CONCEPTS Signal Interpretation: • MAMA above FAMA: Indicates bullish trend momentum with the fast line leading upward movement • MAMA below FAMA: Suggests bearish trend momentum with the fast line leading downward movement • Golden Cross: MAMA crossing above FAMA signals potential upward momentum shift • Death Cross: MAMA crossing below FAMA indicates potential downward momentum shift • Line Convergence: MAMA and FAMA approaching each other suggests trend consolidation or potential reversal Primary Applications: • Trend Following: Enhanced responsiveness to trend changes compared to traditional moving averages • Crossover Signals: MAMA/FAMA crossovers for identifying potential entry and exit points • Cycle Analysis: Automatic adaptation to market's dominant cycle characteristics • Reduced Lag: Minimized delay in trend detection while maintaining signal smoothness 📐 MATHEMATICAL FOUNDATION Hilbert Transform Discriminator Technology: The MAMA system employs John F. Ehlers' Hilbert Transform Discriminator, a sophisticated signal processing technique borrowed from telecommunications engineering. The Hilbert Transform creates a complex representation of the price series by generating a 90-degree phase-shifted version of the original signal, enabling precise cycle measurement. The discriminator analyzes the instantaneous phase relationships between the original price series and its Hilbert Transform counterpart. This mathematical relationship reveals the dominant cycle period present in the market data at each point in time, forming the foundation for adaptive smoothing. Instantaneous Period Calculation: The algorithm computes the instantaneous period using the arctangent of the ratio between the Hilbert Transform and the original price series. This calculation produces a real-time measurement of the market's dominant cycle, typically ranging from short-term noise cycles to longer-term trend cycles. The instantaneous period measurement undergoes additional smoothing to prevent erratic behavior from single-bar anomalies. This smoothed period value becomes the basis for calculating the adaptive alpha coefficient that controls the moving average's responsiveness. Dynamic Alpha Coefficient System: The adaptive alpha calculation represents the core mathematical innovation of MAMA. The alpha coefficient is derived from the instantaneous period measurement and constrained within the user-defined fast and slow limits. The mathematical relationship converts the measured cycle period into an appropriate smoothing factor: shorter detected cycles result in higher alpha values (increased responsiveness), while longer cycles produce lower alpha values (increased stability). This creates an automatic adaptation mechanism that responds to changing market conditions. MAMA/FAMA Calculation Process: The MAMA line applies the dynamically calculated alpha coefficient to an exponential moving average formula: MAMA = alpha × Price + (1 - alpha) × MAMA . The FAMA line then applies a secondary smoothing operation to the MAMA line, creating a following average that provides confirmation signals. This dual-line approach ensures that the fast-adapting MAMA line captures trend changes quickly, while the FAMA line offers a smoother confirmation signal, reducing the likelihood of acting on temporary price fluctuations. Cycle Detection Mechanism: The underlying cycle detection employs quadrature components derived from the Hilbert Transform to measure both amplitude and phase characteristics of price movements. This allows the system to distinguish between genuine trend changes and temporary price noise, automatically adjusting the smoothing intensity accordingly. The mathematical framework ensures that during strong trending periods with clear directional movement, the algorithm reduces smoothing to minimize lag. Conversely, during consolidation phases with mixed signals, increased smoothing helps filter out false breakouts and whipsaws. 📋 PARAMETER CONFIGURATION Source Selection Strategy: • HL2 (High+Low)/2 (Default): Recommended for cycle analysis as it represents the midpoint of each period's trading range, reducing impact of opening gaps and closing spikes • Close Price: Traditional choice reflecting final market sentiment, suitable for end-of-day analysis • HLC3 (High+Low+Close)/3: Balanced approach incorporating range information with closing emphasis • OHLC4 (Open+High+Low+Close)/4: Most comprehensive price representation for complete market view Fast Limit Configuration (Default 0.5): Controls the maximum responsiveness of the adaptive system. Higher values increase sensitivity to recent price changes but may introduce more noise. This parameter sets the upper bound for the dynamic alpha calculation. Slow Limit Configuration (Default 0.05): Determines the minimum responsiveness, providing stability during uncertain market conditions. Lower values increase smoothing but may cause delayed signals. This parameter sets the lower bound for the dynamic alpha calculation. Parameter Relationship Considerations: The fast and slow limits work together to define the adaptive range. The wider the range between these limits, the more dramatic the adaptation between trending and consolidating market conditions. Different market characteristics may benefit from different parameter configurations, requiring individual testing and validation. 📊 COLOR CODING SYSTEM Line Visualization: • Green Line (MAMA): The fast-adapting moving average that responds quickly to price changes • Red Line (FAMA): The following adaptive moving average that provides confirmation signals The fixed color scheme provides consistent visual identification of each line, enabling clear differentiation between the fast-adapting MAMA and the following FAMA throughout all market conditions. 💡 CORE VALUE PROPOSITION Advantages Over Traditional Moving Averages: • Cycle Adaptation: Automatically adjusts to market's dominant cycle rather than using fixed periods • Reduced Lag: Faster response to genuine trend changes while filtering market noise • Mathematical Foundation: Based on advanced signal processing techniques from telecommunications engineering • Dual-Line System: Provides both fast adaptation (MAMA) and confirmation (FAMA) in one indicator Comparative Performance Characteristics: Unlike fixed-period moving averages that apply the same smoothing regardless of market conditions, MAMA adapts its behavior based on current market cycle characteristics. This may help reduce whipsaws during consolidation periods while maintaining responsiveness during trending phases. Usage Considerations: This indicator is designed for technical analysis purposes. The adaptive nature means that parameter optimization should consider the specific characteristics of the asset and timeframe being analyzed. Like all technical indicators, MAMA should be used as part of a comprehensive analysis approach rather than as a standalone signal generator. Alert Functionality: The indicator includes alert conditions for MAMA/FAMA crossovers, enabling automated notification of potential momentum shifts. These alerts can assist in timing analysis but should be combined with other forms of market analysis for decision-making purposes.
Pine Script®指标
由DCAUT提供
Alpha - Multi-Asset Adaptive Trading Strategy# Alpha - Multi-Asset Adaptive Trading Strategy Overview Alpha is a comprehensive trading strategy that combines multiple technical analysis components with pre-optimized settings for over 70 different trading instruments across cryptocurrencies, forex, and stocks. The strategy employs an adaptive approach using modified trend detection algorithms, dynamic support/resistance zones, and multi-timeframe confirmation. Key Features & Originality 1. Adaptive Trend Detection System - Modified trend-following algorithm with amplitude-based channel deviation - Dynamic channel width adjustment based on ATR (Average True Range) - Dual-layer trend confirmation using both price action and momentum indicators 2. Pre-Configured Asset Optimization The strategy includes carefully backtested parameter sets for: - **Cryptocurrencies**: BTC, ETH, and 40+ altcoin pairs - **Forex Pairs**: Major and minor currency pairs - **Stocks**: TSLA, AAPL, GOOG - **Commodities**: Gold, Silver, Platinum - Each configuration is optimized for specific timeframes (5m, 15m, 30m, 45m, 1h) 3. Advanced Risk Management - Multiple take profit levels (4 targets with customizable position sizing) - Dynamic stop-loss options (ATR-based or percentage-based) - Position size allocation across profit targets (default: 30%, 30%, 30%, 10%) 4. Multi-Timeframe Analysis Dashboard - Real-time analysis across 4 configurable timeframes - Comprehensive performance metrics display - Visual representation of current market conditions 5. Market Condition Filtering - RSI-based trend strength filtering - ATR-based volatility filtering - Sideways market detection to avoid choppy conditions - Customizable filter combinations (ATR only, RSI only, both, or disabled) How to Use Initial Setup 1. **Select Asset Configuration**: Choose your trading pair from the "Strategies" dropdown menu 2. **Enable Strategy**: Enter "Alpha" in the code confirmation field 3. **Adjust Timeframe**: Match your chart timeframe to the selected strategy configuration Parameter Customization - **Trendline Settings**: Adjust amplitude and channel deviation for sensitivity - **TP/SL Method**: Choose between ATR-based or percentage-based targets - **Filtering Options**: Select appropriate market filters for your trading style - **Backtest Period**: Set the number of days for strategy testing (max 60) Signal Interpretation - **BUY/SELL Labels**: Primary entry signals based on trend changes - **Support/Resistance Zones**: Visual zones showing key price levels - **Dashboard**: Real-time display of position status, targets, and performance metrics Important Considerations Limitations and Warnings - **Backtesting Period**: Results shown are based on historical data from the specified backtest period - **No Guarantee**: Past performance does not guarantee future results - **Market Conditions**: Strategy performance varies with market volatility and trending conditions - **Repainting**: Some signals may repaint if "Wait For Confirmed Bar" is disabled Risk Warnings - The pre-configured settings are starting points and may require adjustment for current market conditions - Always use appropriate position sizing and risk management - Test thoroughly on demo accounts before live trading - Monitor and adjust parameters regularly as market dynamics change Technical Components Core Indicators Used - Modified trend detection with amplitude-based channels - RSI (Relative Strength Index) for momentum confirmation - ATR (Average True Range) for volatility measurement - Support/Resistance detection using pivot points - Bollinger Band variant for trend confirmation Alert Functionality The strategy includes comprehensive alert options for: - Entry signals (long and short) - Take profit levels (TP1, TP2, TP3, TP4) - Stop loss triggers - Integration with trading bots via webhook messages Recommended Usage Best Practices 1. Start with the pre-configured settings for your chosen asset 2. Run backtests over different time periods to verify performance 3. Use the dashboard to monitor real-time strategy performance 4. Adjust filters based on current market conditions 5. Always use stop losses and proper risk management Timeframe Recommendations - **Short-Term**: Use 5m, 15m configurations for scalping - **Mid-Term**: Use 30m, 45m configurations for day trading - **Long-Term**: Use 1h configurations for swing trading Updates and Support The strategy parameters are regularly reviewed and optimized. Users should periodically check for updates to ensure they have the latest configurations. Disclaimer This strategy is for educational and informational purposes only. Trading involves substantial risk of loss. Users should conduct their own research and consider their financial situation before trading. The author is not responsible for any trading losses incurred using this strategy.
Pine Script®策略
由DrFXGOD提供
Global M2 Money SupplyThis indicator calculates and plots an aggregated estimate of the Global M2 money supply, expressed in U.S. dollar terms. It combines M2 data from major economies and regions—including the U.S., Eurozone, Canada, the U.K., Switzerland, China, Japan, India, Brazil, and others—and adjusts each by its respective FX rate to USD. By summing these series, the script provides a broad view of worldwide liquidity conditions in one line. A user-defined offset in days allows you to shift the global M2 line forward or backward, making it easier to visually compare liquidity trends against asset prices such as Bitcoin, gold, or equities. This tool is designed for traders and macro observers who want to study how global money supply growth or contraction correlates with financial markets over time. 이 지표는 전 세계 주요 국가와 지역의 M2 통화량을 달러 기준으로 합산하여 글로벌 유동성 지표로 보여줍니다. 미국, 유로존, 캐나다, 영국, 스위스, 중국, 일본, 인도, 브라질 등 여러 지역의 M2 데이터를 각 통화의 환율(USD 환산)로 조정한 뒤 합산해 하나의 흐름으로 표현합니다. 이를 통해 글로벌 차원의 통화 공급 변화를 한눈에 파악할 수 있습니다. 또한 사용자가 지정한 일 단위 오프셋 기능을 통해 글로벌 M2 라인을 앞뒤로 이동시켜, 비트코인·금·주식 등 다양한 자산 가격과의 시차적 관계를 직관적으로 비교할 수 있습니다. 거시경제 환경과 자산시장 간의 상관성을 연구하거나 시장 유동성 추이를 모니터링하려는 투자자에게 유용한 도구입니다.
Pine Script®指标
由Tommy_Trader提供
AI Trading Alerts v6 — SL/TP + Confidence + Panel (Fixed)Overview This Pine Script is designed to identify high-probability trading opportunities in Forex, commodities, and crypto markets. It combines EMA trend filters, RSI, and Stochastic RSI, with automatic stop-loss (SL) & take-profit (TP) suggestions, and provides a confidence panel to quickly assess the trade setup strength. It also includes TradingView alert conditions so you can set up notifications for Long/Short setups and EMA crosses. ⚙️ Features EMA Trend Filter Uses EMA 50, 100, 200 for trend confirmation. Bull trend = EMA50 > EMA100 > EMA200 Bear trend = EMA50 < EMA100 < EMA200 RSI Filter Bullish trades require RSI > 50 Bearish trades require RSI < 50 Stochastic RSI Filter Prevents entries during overbought/oversold extremes. Bullish entry only if %K and %D < 80 Bearish entry only if %K and %D > 20 EMA Proximity Check Price must be near EMA50 (within ATR × adjustable multiplier). Signals Continuation Signals: Long if all bullish conditions align. Short if all bearish conditions align. Cross Events: Long Cross when price crosses above EMA50 in bull trend. Short Cross when price crosses below EMA50 in bear trend. Automatic SL/TP Suggestions SL size adjusts depending on asset: Gold/Silver (XAU/XAG): 5 pts Bitcoin/Ethereum: 100 pts FX pairs (default): 20 pts TP = SL × Risk:Reward ratio (default 1:2). Confidence Score (0–4) Based on conditions met (trend, RSI, Stoch, EMA proximity). Labels: Strongest (4/4) Strong (3/4) Medium (2/4) Low (1/4) Visual Panel on Chart Shows ✅/❌ for each condition (trend, RSI, Stoch, EMA proximity, signal now). Confidence row with color-coded strength. Alerts Long Setup Short Setup Long Cross Short Cross 🖥️ How to Use 1. Add the Script Open TradingView → Pine Editor. Paste the full script. Click Add to chart. Save as "AI Trading Alerts v6 — SL/TP + Confidence + Panel". 2. Configure Inputs EMA Lengths: Default 50/100/200 (works well for swing trading). RSI Length: 14 (standard). Stochastic Length/K/D: Default 14/3/3. Risk:Reward Ratio: Default 2.0 (can change to 1.5, 3.0, etc.). EMA Proximity Threshold: Default 0.20 × ATR (adjust to be stricter/looser). 3. Read the Panel Top-right of chart, you’ll see ✅ or ❌ for: Trend → Are EMAs aligned? RSI → Above 50 (bull) or below 50 (bear)? Stoch OK → Not extreme? Near EMA50 → Close enough to EMA50? Above/Below OK → Price position vs. EMA50 matches trend? Signal Now → Entry triggered? Confidence row: 🟢 Green = Strongest 🟩 Light green = Strong 🟧 Orange = Medium 🟨 Yellow = Low ⬜ Gray = None 4. Alerts Setup Go to TradingView Alerts (⏰ icon). Choose the script under “Condition”. Select alert type: Long Setup Short Setup Long Cross Short Cross Set notification method (popup, sound, email, mobile). Click Create. Now TradingView will notify you automatically when signals appear. 5. Example Workflow Wait for Confidence = Strong/Strongest. Check if market session supports volatility (e.g., XAU in London/NY). Review SL/TP suggestions: Long → Entry: current price, SL: close - risk_pts, TP: close + risk_pts × RR. Short → Entry: current price, SL: close + risk_pts, TP: close - risk_pts × RR. Adjust based on your own price action analysis. 📊 Best Practices Use on H1 + D1 combo → align higher timeframe bias with intraday entries. Risk only 1–2% of account per trade (position sizing required). Filter with market sessions (Asia, Europe, US). Strongest signals work best with trending pairs (e.g., XAUUSD, USDJPY, BTCUSD).
Pine Script®指标
由geraldfernandez2017提供
1
Multi-Symbol Volatility Tracker with Range DetectionMulti-Symbol Volatility Tracker with Range Detection 🎯 Main Purpose: This indicator is specifically designed for scalpers to quickly identify symbols with high volatility that are currently in ranging conditions . It helps you spot the perfect opportunities for buying at lows and selling at highs repeatedly within the same trading session. 📊 Table Data Explanation: The indicator displays a comprehensive table with 5 columns for 4 major symbols (GOLD, SILVER, NASDAQ, SP500): SYMBOL: The trading instrument being analyzed VOLATILITY: Color-coded volatility levels (NORMAL/HIGH/EXTREME) based on ATR values Last Candle %: The percentage range of the most recent 5-minute candle Last 5 Candle Avg %: Average percentage range over the last 5 candles RANGE: Shows "YES" (blue) or "NO" (gray) indicating if the symbol is currently ranging 🔍 How to Identify Trading Opportunities: Look for symbols that combine these characteristics: RANGE column shows "YES" (highlighted in blue) - This means the symbol is moving sideways, perfect for range trading VOLATILITY shows "HIGH" or "EXTREME" - Ensures there's enough movement for profitable scalping Higher candlestick percentages - Indicates larger candle ranges, meaning more profit potential per trade ⚡ Optimal Usage: Best Timeframe: Works optimally on 5-minute charts where the ranging patterns are most reliable for scalping Trading Strategy: When you find a symbol with "YES" in the RANGE column, switch to that symbol and look for opportunities to buy near the lows and sell near the highs of the ranging pattern Risk Management: Higher volatility symbols offer more profit potential but require tighter risk management ⚙️ Settings: ATR Length: Adjusts the Average True Range calculation period (default: 14) Range Sensitivity: Fine-tune range detection sensitivity (0.1-2.0, lower = more sensitive) 💡 Pro Tips: The indicator updates in real-time, so monitor for symbols switching from "NO" to "YES" in the RANGE column Combine HIGH/EXTREME volatility with RANGE: YES for the most profitable scalping setups Use the candlestick percentages to gauge potential profit per trade - higher percentages mean more movement The algorithm uses advanced statistical analysis including standard deviation, linear regression slopes, and range efficiency to accurately detect ranging conditions Perfect for day traders and scalpers who want to quickly identify which symbols offer the best ranging opportunities for consistent buy-low, sell-high strategies.
Pine Script®指标
由igaudette提供
All Levels This script draws key price levels on your chart, including: • Previous Day (PD): High, Low, Close • Day Before Yesterday (DBY): High, Low, Close • Pre-Market (PM): High and Low • Today’s levels: High, Low, Open, Close • Current bar levels: High, Low, Open, Close Each level is displayed as a horizontal line with a label showing the level value. It works on any timeframe, including 1-minute charts, and automatically updates as new bars form. ⸻ 2. Features 1. Custom Colors Each type of level has its own color, declared as a const color. For example: • Previous Day High = red • Today’s Close = gold • Pre-Market High = fuchsia 2. Right-Extending Lines All horizontal levels extend to the right, so you always see them on the chart. 3. Persistent Labels Every line has a label at the right side showing its name and price. For example: • PDH 422 • TODL 415.5 4. Dynamic Updates The script updates automatically whenever a new bar forms, so levels stay accurate. 5. Session-Based Pre-Market You can define the pre-market session (default “04:00–09:30 EST”). The script calculates the high and low of this session only. 6. Checkbox Inputs You can enable/disable entire groups of levels: • Previous Day • Day Before Yesterday • Pre-Market • Today • Current bar
Pine Script®指标
由nasdaq_girl提供
Pairs Trading Scanner [BackQuant]Pairs Trading Scanner What it is This scanner analyzes the relationship between your chart symbol and a chosen pair symbol in real time. It builds a normalized “spread” between them, tracks how tightly they move together (correlation), converts the spread into a Z-Score (how far from typical it is), and then prints clear LONG / SHORT / EXIT prompts plus an at-a-glance dashboard with the numbers that matter. Why pairs at all? Markets co-move. When two assets are statistically related, their relationship (the spread) tends to oscillate around a mean. Pairs trading doesn’t require calling overall market direction you trade the relative mispricing between two instruments. This scanner gives you a robust, visual way to find those dislocations, size their significance, and structure the trade. How it works (plain English) Step 1 Pick a partner: Select the Pair Symbol to compare against your chart symbol. The tool fetches synchronized prices for both. Step 2 Build a spread: Choose a Spread Method that defines “relative value” (e.g., Log Spread, Price Ratio, Return Difference, Price Difference). Each lens highlights a different flavor of divergence. Step 3 Validate relationship: A rolling Correlation checks if the pair is moving together enough to be tradable. If correlation is weak, the scanner stands down. Step 4 Standardize & score: The spread is normalized (mean & variability over a lookback) to form a Z-Score . Large absolute Z means “stretched,” small means “near fair.” Step 5 Signals: When the Z-Score crosses user-defined thresholds with sufficient correlation , entries print: LONG = long chart symbol / short pair symbol, SHORT = short chart symbol / long pair symbol, EXIT = mean reversion into the exit zone or correlation failure. Core concepts (the three pillars) Spread Method Your definition of “distance” between the two series. Guidance: Log Spread: Focuses on proportional differences; robust when prices live on different scales. Price Ratio: Classic relative value; good when you care about “X per Y.” Return Difference: Emphasizes recent performance gaps; nimble for momentum-to-mean plays. Price Difference: Straight subtraction; intuitive for similar-scale assets (e.g., two ETFs). Correlation A rolling score of co-movement. The scanner requires it to be above your Min Correlation before acting, so you’re not trading random divergence. Z-Score “How abnormal is today’s spread?” Positive = chart richer than pair; negative = cheaper. Thresholds define entries/exits with transparent, statistical context. What you’ll see on the chart Correlation plot (blue line) with a dashed Min Correlation guide. Above the line = green zone for signals; below = hands off. Z-Score plot (white line) with colored, dashed Entry bands and dotted Exit bands. Zero line for mean. Normalized spread (yellow) for a quick “shape read” of recent divergence swings. Signal markers : LONG (green label) when Z < –Entry and corr OK, SHORT (red label) when Z > +Entry and corr OK, EXIT (gray label) when Z returns inside the Exit band or correlation drops below the floor. Background tint for active state (faint green for long-spread stance, faint red for short-spread stance). The two built-in dashboards Statistics Table (top-right) Pair Symbol Your chosen partner. Correlation Live value vs. your minimum. Z-Score How stretched the spread is now. Current / Pair Prices Real-time anchors. Signal State NEUTRAL / LONG / SHORT. Price Ratio Context for ratio-style setups. Analysis Table (bottom-right) Avg Correlation Typical co-movement level over your window. Max |Z| The recent extremes of dislocation. Spread Volatility How “lively” the spread has been. Trade Signal A human-readable prompt (e.g., “LONG A / SHORT B” or “NO TRADE” / “LOW CORRELATION”). Risk Level LOW / MEDIUM / HIGH based on current stretch (absolute Z). Signals logic (plain English) Entry (LONG): The spread is unusually negative (chart cheaper vs pair) and correlation is healthy. Expect mean reversion upward in the spread: long chart, short pair. Entry (SHORT): The spread is unusually positive (chart richer vs pair) and correlation is healthy. Expect mean reversion downward in the spread: short chart, long pair. Exit: The spread relaxes back toward normal (inside your exit band), or correlation deteriorates (relationship no longer trusted). A quick, repeatable workflow 1) Choose your pair in context (same sector/theme or known macro link). Think: “Do these two plausibly co-move?” 2) Pick a spread lens that matches your narrative (ratio for relative value, returns for short-term performance gaps, etc.). 3) Confirm correlation is above your floor no corr, no trade. 4) Wait for a stretch (Z beyond Entry band) and a printed LONG / SHORT . 5) Manage to the mean (EXIT band) or correlation failure; let the scanners’ state/labels keep you honest. Settings that matter (and why) Spread Method Defines the “mispricing” you care about. Correlation Period Longer = steadier regime read, shorter = snappier to regime change. Z-Score Period The window that defines “normal” for the spread; it sets the yardstick. Use Percentage Returns Normalizes series when using return-based logic; keep on for mixed-scale assets. Entry / Exit Thresholds Set your stretch and your target reversion zone. Wider entries = rarer but stronger signals. Minimum Correlation The gatekeeper. Raising it favors quality over quantity. Choosing pairs (practical cheat sheet) Same family: two index ETFs, two oil-linked names, two gold miners, two L1 tokens. Hedge & proxy: stock vs. sector ETF, BTC vs. BTC index, WTI vs. energy ETF. Cross-venue or cross-listing: instruments that are functionally the same exposure but price differently intraday. Reading the cues like a pro Divergence shape: The yellow normalized spread helps you see rhythm fast spike and snap-back versus slow grind. Corr-first discipline: Don’t fight the “Min Correlation” line. Good pairs trading starts with a relationship you can trust. Exit humility: When Z re-centers, let the EXIT do its job. The edge is the journey to the mean, not overstaying it. Frequently asked (quick answers) “Long/Short means what exactly?” LONG = long the chart symbol and short the pair symbol. SHORT = short the chart symbol and long the pair symbol. “Do I need same price scales?” No. The spread methods normalize in different ways; choose the one that fits your use case (log/ratio are great for mixed scales). “What if correlation falls mid-trade?” The scanner will neutralize the state and print EXIT . Relationship first; trade second. Field notes & patterns Snap-back days: After a one-sided session, return-difference spreads often flag cleaner intraday mean reversions. Macro rotations: Ratio spreads shine during sector re-weights (e.g., value vs. growth ETFs); look for steady corr + elevated |Z|. Event bleed-through: If one symbol reacts to news and its partner lags, Z often flags a high-quality, short-horizon re-centering. Display controls at a glance Show Statistics Table Live state & key numbers, top-right. Show Analysis Table Context/risk read, bottom-right. Show Correlation / Spread / Z-Score Toggle the sub-charts you want visible. Show Entry/Exit Signals Turn markers on/off as needed. Coloring Adjust Long/Short/Neutral and correlation line colors to match your theme. Alerts (ready to route to your workflow) Pairs Long Entry Z falls through the long threshold with correlation above minimum. Pairs Short Entry Z rises through the short threshold with correlation above minimum. Pairs Trade Exit Z returns to neutral or the relationship fails your correlation floor. Correlation Breakdown Rolling correlation crosses your minimum; relationship caution. Final notes The scanner is designed to keep you systematic: require relationship (correlation), quantify dislocation (Z-Score), act when stretched, stand down when it normalizes or the relationship degrades. It’s a full, visual loop for relative-value trading that stays out of your way when it should and gets loud only when the numbers line up.
Pine Script®指标
由BackQuant提供
Apex Edge Sentinel - Stop Loss HUDApex Edge – ATR Sentinel Stop Loss HUD The Apex Edge – ATR Sentinel is a complete stop-loss intelligence system built as a clean, always-on HUD. It delivers institutional-level risk guidance by calculating and displaying live ATR-based stop levels for both long and short trades at multiple risk tolerances. Forget cluttered charts and repainting lines — Sentinel gives you a clear stop-loss reference panel that updates dynamically with every bar. ✅ Features • Triple ATR Multipliers User-defined (e.g. x1.5 / x2.0 / x2.5). Compare tight, medium, and wide stops instantly. • Dual-Side SL Levels Both Long and Short safe stop prices displayed side by side. No more guessing trend bias. • ATR Transparency HUD shows ATR(length) so you always know the calculation basis. Default = 14, adjustable to your style. • ATR Regime Meter Detects volatility conditions (LOW / NORMAL / HIGH) by comparing ATR to its SMA. Helps you avoid over-tight stops in high-volatility markets. • Tick-Aware Rounding Stop levels auto-rounded to the instrument’s tick size (Gold = 0.10, FX = 0.0001, indices = whole points). Custom HUD Design • Location: Top/Bottom, Left/Right • Sizes: Compact / Medium / Large (desktop or mobile) • Opacity control (25% default Apex styling) How to Use 1. Load Sentinel on your chart. 2. Check the HUD: • ATR(14): 2.6 → base volatility measure. • x1.5 / x2.0 / x2.5 → instant SL levels for both long & short trades. 3. Before entering a trade → decide which multiplier matches your style (tight scalper vs wider swing). 4. Manually place your SL at the level displayed in the HUD. Sentinel works as both: • A pre-trade check (is ATR stop too wide for my RR?). • A live risk compass (updated stop levels every bar). Why Apex Sentinel? Most ATR stop indicators clutter charts with lagging lines or repainting trails. Sentinel strips it back to what matters: • The numbers. • The risk levels. • The context. It’s a pure stop-loss HUD, designed for serious traders who want clarity, discipline, and instant reference points across any market or timeframe. Notes • This is a HUD-only system (no automatic SL line). Traders manually apply the SL level shown in the panel. • Defaults: ATR(14), multipliers 1.5 / 2.0 / 2.5. Adjust to your trading style. • Best used on intraday pairs like XAUUSD, EURUSD, indices, but works universally. Apex Edge Philosophy: Clean. Smart. Institutional. No clutter. No gimmicks. Just precision tools for modern markets.
Pine Script®指标
由ApexEdge提供
Futures Playbook: VWAP + OR + Cross-Asset TellsFutures Playbook: VWAP + OR + Cross-Asset Tells (with Trade Messages + Coach Panel) This all-in-one futures trading toolkit combines Opening Range (OR) levels, VWAP, and cross-asset signals to help traders quickly read intraday structure, manage execution, and filter noise. Core Features • Opening Range (OR): • Customizable OR window with High/Low and Midpoint. • Automatic shading of the OR zone. • VWAP & Bands: • Built-in or session-anchored VWAP. • Optional standard deviation bands for context. • Cross-Asset Tells: • Live reads on US 10Y yield, DXY, Crude, and Gold. • Regime detection: rates risk, USD strength, energy softness, and real-rate easing. • Confirmations: • Volume vs. moving average filter. • Cumulative delta with smoothing. • ATR-based chop filter to avoid low-quality trends. Trade Messages + Coach Panel • Trade Messages (labels): Automatic on-chart prompts for OR completion, VWAP reclaim/loss, long/short setups, and EU close flows. • Coach Panel (table): Real-time dashboard with regime context, directional bias, execution notes, risk reminders, and key levels (ORH, ORL, VWAP). Alerts • OR breakout (long/short with confirmations). • VWAP reclaim or loss. • 10Y yield crossing risk threshold. Use Case Designed for futures traders and scalpers who rely on VWAP + OR dynamics and need cross-asset confirmation before committing to trades. Great for structuring entries, managing risk, and filtering market noise throughout the session.
Pine Script®指标
由TheFuturesPlaybook提供
Mongoose Global Conflict Risk Index v1Overview The Mongoose Global Conflict Risk Index v1 is a multi-asset composite indicator designed to track the early pricing of geopolitical stress and potential conflict risk across global markets. By combining signals from safe havens, volatility indices, energy markets, and emerging market equities, the index provides a normalized 0–10 score with clear bias classifications (Neutral, Caution, Elevated, High, Shock). This tool is not predictive of headlines but captures when markets are clustering around conflict-sensitive assets before events are widely recognized. Methodology The indicator calculates rolling rate-of-change z-scores for eight conflict-sensitive assets: Gold (XAUUSD) – classic safe haven US Dollar Index (DXY) – global reserve currency flows VIX (Equity Volatility) – S&P 500 implied volatility OVX (Crude Oil Volatility Index) – energy stress gauge Crude Oil (CL1!) – WTI front contract Natural Gas (NG1!) – energy security proxy, especially Europe EEM (Emerging Markets ETF) – global risk capital flight FXI (China ETF) – Asia/China proxy risk Rules: Safe havens and vol indices trigger when z-score > threshold. Energy triggers when z-score > threshold. Risk assets trigger when z-score < –threshold. Each trigger is assigned a weight, summed, normalized, and scaled 0–10. Bias classification: 0–2: Neutral 2–4: Caution 4–6: Elevated 6–8: High 8–10: Conflict Risk-On How to Use Timeframes: Daily (1D) for strategic signals and early warnings. 4H for event shocks (missiles, sanctions, sudden escalations). Weekly (1W) for sustained trends and macro build-ups. What to Look For: A single trigger (for example, Gold ON) may be noise. A cluster of 2–3 triggers across Gold, USD, VIX, and Energy often marks early stress pricing. Elevated readings (>4) = caution; High (>6) = rotation into havens; Shock (>8) = market conviction of conflict risk. Practical Application: Monitor as a heatmap of global stress. Combine with fundamental or headline tracking. Use alert conditions at ≥4, ≥6, ≥8 for systematic monitoring. Notes This indicator is for informational and educational purposes only. It is not financial advice and should be used in conjunction with other analysis methods.
Pine Script®指标
由TheRealMongoose提供