开始

带和通道

Rainbow Rider Pro | ProjectSyndicate________________________________________ 📖 Rainbow Rider Pro PS — The Definitive Guide ________________________________________ ✅ Executive Summary — 10 Unique Advantages 🌈The Rainbow Rider Pro PS isn’t a basic trend indicator — it’s a visual trading system built to show market momentum + volatility clearly and intuitively. eur cad 1. ⚙️ Hybrid Momentum Engine Combines EMA + WMA + VWMA into one triple-smoothed composite wave → responsive + smooth. 2. 🌈 Full-Spectrum Gradient A 7-layer rainbow maps momentum strength across colors → more nuance than simple 2-color tools. 3. 📏 Adaptive Volatility Zones Zones are ATR-driven, expanding/contracting with volatility → dynamic support/resistance behavior. 4. 👁️ Visual Momentum Mapping Momentum shifts become color shifts → less reliance on separate oscillators. 5. ✨ Glow + Transparency (Dark Mode Optimized) Transparency + glow improves clarity and reduces eye strain during long sessions. 6. 📈 Acceleration Detection Tracks momentum direction + acceleration → early warning for strengthening/weakening trends 🚦. 7. 🎯 Clutter-Free Signals 💎 reversals + ⚡️ volatility spikes → clean, minimal overlays . 8. 🟣 Dynamic Background Ambiance Background hue follows dominant momentum → helps you “feel” market mood instantly . 9. 🧵 Zero-Lag Smoothing Style Triple-EMA smoothing hugs price action → smooth trend line without heavy lag . 10. 🌍🔁 Universal Applicability Asset-agnostic logic works across FX 💱 / Crypto 🪙 / Commodities 🪙⛏️ / Equities 🏛️ on all timeframes ⏱️. ltc usd ________________________________________ ⚙️ Anatomy of the Indicator 1) Momentum Wave (Core Baseline) The wave is the primary trend + momentum reference. Color Meaning • Warm (Yellow / Orange / Pink) → strong bullish momentum 📈 • Cool (Cyan / Blue / Indigo / Violet) → strong bearish momentum 📉 • Green → neutral / transition (indecision) Position Meaning • Price above wave → generally uptrend • Price below wave → generally downtrend ________________________________________ 2) Rainbow Volatility Zones (7 Bands) Bands expand/contract around the wave and act like adaptive volatility envelopes. • Expansion → rising volatility • Contraction → falling volatility (often precedes breakout) • Outer band touch (Pink / Indigo / Violet extremes) → move may be overextended → pullback/consolidation risk ________________________________________ s&p e-mini 🎯 Signals & Markers • Reversal Diamonds (💎) Appear when price crosses the Momentum Wave with confirming conditions. o 💎 below price → bullish reversal signal o 💎 above price → bearish reversal signal Best used as entry/exit warnings, not standalone trades. • Volatility Lightning (⚡️) Appears when ATR spikes → warns of unusually high volatility (erratic moves + wider spreads possible). ________________________________________ 📈 Sample Trade Setups (Hypothetical) 1) GBP/USD — H4 Swing (Trend Following) • Trend: downtrend, wave blue, price below wave • Setup: pullback to wave (dynamic resistance), wave shifts to cyan but fails to turn green, rejection + bearish 💎 above candle • Entry: short at signal candle close • SL: above swing high + upper zones • TP: lower indigo/violet band, then historical support • Exit early if: wave turns green OR bullish 💎 appears ________________________________________ 2) XAU/USD (Gold) — H1 Day Trade (Breakout) • Trend: tight consolidation, zones contracting • Setup: wave flat + green → indecision; breakout candle closes above bands; wave turns green → yellow → orange • Entry: long at close or pullback to first upper band • SL: below consolidation midpoint or below wave • TP: ride upper bands; exit when price closes back inside bands OR wave cools (pink→orange etc.) ________________________________________ 3) BTC/USD — Daily (Reversal Trading) • Trend: prolonged bullish, wave pink, price extended • Setup: new high but momentum wanes; price closes below wave + bearish 💎 • Entry: short (smaller size; counter-trend risk) • SL: above recent ATH • TP: first major support; take profits aggressively • Exit cue: support at lower bands + wave shifts toward neutral (blue→cyan/green) ________________________________________ 🛠️ Setting Templates (Ready-to-Use) Template 1 — Scalper (M1 / M5) • Goal: small, rapid moves • Wave Length: 13 • Wave Source: HL2 • Volatility Multiplier: 1.8 • ATR Period: 34 • Logic: very responsive wave + tighter bands Template 2 — Day Trader (M15 / H1) (Default-Style Balance) • Wave Length: 34 • Wave Source: HLC3 • Volatility Multiplier: 2.5 • ATR Period: 50 Template 3 — Swing Trader (H4 / Daily) • Wave Length: 55 • Wave Source: Close • Volatility Multiplier: 3.0 • ATR Period: 100 • Logic: smoother trend focus + wider bands to avoid premature exits Template 4 — Position Trader (Daily / Weekly) • Wave Length: 89 • Wave Source: OHLC4 • Volatility Multiplier: 3.5 • ATR Period: 144 • Logic: filters noise → only major shifts trigger signals ________________________________________ 📊 Advanced Interpretation Guide Reading the Rainbow (Color Psychology) • Bearish (Cool): Violet → Indigo → Blue → Cyan o Violet = most extreme bearish o Cyan = bearish weakening → transition risk • Neutral (Green): equilibrium / indecision → often ranges & consolidations • Bullish (Warm): Yellow → Orange → Pink o Yellow = early bullish o Orange = strong established bullish o Pink = extreme bullish (can be overextended) ________________________________________ 📊 Advanced Interpretation Guide 🌈 Reading the Rainbow: Color Psychology in Trading The gradient is designed to be intuitive — each color is a “momentum temperature” cue: • Bearish Spectrum (Cool Colors) 🟣🔵🧊 🟣 Violet → 🟦 Indigo → 🔵 Blue → 🩵 Cyan = declining momentum o 🟣 Violet = most extreme bearish conditions o 🩵 Cyan = bearish momentum weakening → transition risk • Neutral Zone (Green) 🟢⚖️ 🟢 Green = equilibrium / indecision Common during consolidations or ranges → usually best to wait for clearer bias. • Bullish Spectrum (Warm Colors) 🟡🟠🩷 🟡 Yellow → 🟠 Orange → 🩷 Pink = rising momentum o 🟡 Yellow = early bullish shift o 🟠 Orange = strong, established uptrend o 🩷 Pink = extreme bullish conditions (often overextended) ________________________________________ Volatility Band Dynamics • Wide bands: high volatility (news / breakouts / acceleration) → consider wider stops • Narrow bands: volatility squeeze → breakout risk rising • Outer band breakout: momentum surge → often followed by reversion to inner bands/wave ________________________________________ 🎯 Trading Strategies (Combining Signals) Strategy 1 — Trend Continuation (High Win Rate) Entry • Price above (long) / below (short) wave • Wave color aligns (warm for longs / cool for shorts) • Wait pullback to wave or first inner band → enter on bounce Exit • Close on opposite side of wave • Wave turns green • Opposite 💎 appears Risk • SL just beyond wave on the invalidation side ________________________________________ Strategy 2 — Reversal Trading (High R:R) Entry • Strong trend extreme (pink or violet) • 💎 appears + price closes opposite side of wave • Wave shifts toward neutral (pink→orange, violet→indigo) Exit • Target opposite outer bands • Or wave fully transitions to opposite spectrum • Or counter-💎 prints Risk • Smaller sizing; SL beyond swing high/low ________________________________________ Strategy 3 — Volatility Breakout (High Momentum) Entry • Bands contracting (squeeze) • Wave flat + green • Large candle closes beyond outer bands • Wave shifts quickly from green to strong warm/cool Exit • Price returns inside main bands • Wave cools • 💎 appears Risk • SL at consolidation midpoint; consider trailing stop on big winners ________________________________________ 🧠 Best Practices & Pro Tips • Timeframe Alignment: confirm higher TF trend before entries • Avoid Neutral Zones: wave green + chop around wave = low probability • Combine with Key Levels: horizontals / fibs / pivots improve confluence • Respect ⚡️: volatility spike = spreads/slippage risk; tighten risk or wait • Use Background Mood: warm = bullish bias, cool = bearish bias (avoid counter-trend) • Adjust Gradient Intensity: reduce if distracting; increase if you want stronger visual pop • Backtest First: learn behavior per asset/timeframe before going live ________________________________________ ⚙️ Parameter Reference | Parameter | Default | Range | Description |----------------------|---------|--------------------------|----------------------------------------------| | Wave Length | 34 | 8 - 200 | Wave responsiveness (lower = more sensitive) | | Wave Source | HLC3 | Close/HLC3/OHLC4/HL2 | Price input used for wave | | Volatility Multiplier| 2.5 | 0.5 - 10.0 | Band width (higher = wider) | | ATR Period | 50 | 10 - 200 | ATR lookback (higher = smoother volatility) | | Gradient Intensity | 75 | 0 - 100 | Band fill opacity (higher = more opaque) | | Show Momentum Wave | True | True / False | Toggle main wave line | | Show Rainbow Zones | True | True / False | Toggle volatility bands | | Show Trend Signals | True | True / False | Toggle 💎 + ⚡️ markers | | Dynamic Background | True | True / False | Toggle background hue shift | | Rainbow Colors | Custom | Any Color | Customize each rainbow color | ________________________________________ 🔔 Alert Configuration (TradingView Steps) 1) Click the indicator "More" (⋯) on the chart 2) Select "Add Alert on Rainbow Rider Pro PS" 3) Choose the condition in the dropdown 4) Set notifications (app/email/SMS/etc.) 5) Click "Create" Available Alert Conditions • Bullish Reversal → bullish 💎 appears • Bearish Reversal → bearish 💎 appears • High Volatility → ATR spike (⚡️) • Extreme Bullish → momentum strength > 90 • Extreme Bearish → momentum strength < 10
Pine Script®指标
由ProjectSyndicate提供
9
EMA Combo BKEMA Combo – Multi-Timeframe Trend & Momentum Indicator EMA Combo is a clean and efficient multi-Exponential Moving Average (EMA) indicator designed to help traders quickly identify trend direction, momentum strength, and dynamic support/resistance zones across all timeframes. This indicator plots a structured set of five EMAs (10, 20, 50, 100, 200) on the price chart, with intelligent default visibility to keep the chart uncluttered while still allowing deeper analysis when needed. ⸻ Default EMA Structure By default, the indicator displays only the two most actionable EMAs: • EMA 20 (Blue) – Short-term momentum EMA • EMA 50 (Red) – Core trend EMA The following EMAs are hidden by default and can be enabled manually from the indicator settings: • EMA 10 (Teal) – Ultra-fast EMA for scalping and very short-term momentum • EMA 100 (Purple) – Medium-term trend filter • EMA 200 (Orange) – Long-term trend and institutional bias EMA This default visibility ensures a clean chart for day trading, while still supporting swing and positional analysis when required. ⸻ How to Use the Indicator 1. Trend Identification • Price above EMA 50 & EMA 200 → Bullish market structure • Price below EMA 50 & EMA 200 → Bearish market structure • EMA 20 above EMA 50 → Short-term bullish momentum • EMA 20 below EMA 50 → Short-term bearish momentum ⸻ 2. Momentum & Pullback Trading • In strong trends, price often pulls back to EMA 20 or EMA 50 before continuing • EMA 20 acts as a dynamic momentum line • EMA 50 acts as a trend support / resistance zone ⸻ 3. Scalping & Short-Term Trading (EMA 10) • Enable EMA 10 for: • High-frequency scalping • Momentum bursts • Early trend acceleration • Best used on lower timeframes (1m–5m) ⸻ 4. Swing & Positional Trading (EMA 100 & 200) • EMA 100 helps filter mid-term trend strength • EMA 200 defines: • Institutional bias • Long-term support & resistance • Bull vs Bear market zones A market is considered structurally strong when: EMA 20 > EMA 50 > EMA 100 > EMA 200
Pine Script®指标
由bkmutha01提供
[SUMIT] Trade line strategy 05:00pm to 11:00pm Trade line strategy 05:00pm to 11:00pm This trading indicator is created by Sumit Ingole, an active trader from Maharashtra, India, with real-time market experience. Based on practical trading and proven market understanding, it focuses on clarity and discipline. Designed to support traders with clean structure and decision-making. Best used with proper risk management and consistency. This is a custom-built trading indicator designed to help traders identify clear market direction and high-probability entry zones. The indicator focuses on: • Trend direction • Strong price levels • Clear buy and sell signals • Easy-to-read structure It is beginner-friendly and does not require complex market knowledge. The signals are based on pure price behavior and smart market movement, helping traders avoid confusion and overtrading. This indicator works best when used with proper risk management and discipline. It can be applied on multiple timeframes and is suitable for intraday as well as swing trading. Note: This indicator is a support tool, not a guarantee of profits. Always follow your trading plan and manage risk properly.
Pine Script®指标
由rahulingole4712提供
TTM SqueezeUpdated TTM Squeeze — Correct AND Logic John Carter’s classic TTM Squeeze. There is one on here already, but it is using an OR‑based condition. The proper logic is AND for a true volatility squeeze. Both the Keltner Channel lower band and upper band must sit fully inside the Bollinger Bands. Using AND logic ensures the squeeze only triggers when volatility is genuinely compressed, producing a more accurate and reliable signal than the default implementation.
Pine Script®指标
由followmytradingjournal提供
Mean Deviation Loop | Lyro RSThe MAD Bollinger Bands + Loops is a sophisticated technical analysis tool designed to identify and quantify market trends by combining dynamic moving averages with robust statistical dispersion measures. This indicator employs a multi-model approach, integrating Bollinger-style MAD bands, for-loop momentum scoring, and a hybrid signal system to provide traders with adaptive insights across varying market conditions. Indicator Modes Bollinger-Style MAD Bands This mode calculates dynamic volatility bands around price using Mean Absolute Deviation (MAD) instead of standard deviation or RMSE. MAD offers a smoother and more outlier-resistant measure of price dispersion. Upper Band = Dynamic Moving Average + (MAD × Multiplier) Lower Band = Dynamic Moving Average − (MAD × Multiplier) These bands expand and contract with market volatility, helping to identify potential breakout and breakdown zones with reduced sensitivity to extreme price spikes. For-Loop Momentum Scoring Momentum is evaluated by analyzing recent price behavior through a loop-based comparison system applied to a MAD-weighted price series. A rising momentum score indicates strengthening bullish pressure A declining momentum score signals increasing bearish dominance This method emphasizes directional consistency rather than short-term noise. Hybrid Combined Signal This mode combines the outputs of the MAD Bands and For-Loop Momentum Scoring into a unified directional signal. +1 indicates bullish conditions (green) −1 indicates bearish conditions (red) An average of these scores is calculated to generate a combined signal, providing a clearer and more reliable indication of overall market trend. Practical Application Signal Interpretation A buy signal is generated when both the MAD Bands and For-Loop Momentum align bullishly. A sell signal is generated when both components align bearishly. Trend Confirmation The Hybrid Combined Signal serves as a confirmation layer, helping traders validate trend direction and reduce the likelihood of false signals during choppy or low-volatility conditions. ⚠️ Disclaimer This indicator is a technical analysis tool and does not guarantee results. It should be used in conjunction with additional analysis methods and proper risk management strategies. The creators of this indicator are not responsible for any financial decisions made based on its signals.
Pine Script®指标
由LyroRS提供
6
MTF Session Range FibonacciMTF Session Range Fibonacci is a multi-timeframe indicator designed to map high-probability price reaction levels using a fixed intraday session range and Fibonacci projections. The indicator first identifies a user-defined session window and records the session high and low. Once the session completes, it builds a complete Fibonacci structure from that range, including retracements and extensions above and below the session boundaries. These levels act as support, resistance, targets, and extreme reaction zones, commonly used for intraday and swing trading. All calculations can be sourced from a higher or custom timeframe, allowing traders to project higher-timeframe structure onto lower-timeframe charts. This helps align entries with broader market context rather than relying on isolated chart data. To provide trend confirmation, the indicator includes: A Parabolic Weighted Moving Average (PWMA) to highlight directional bias and momentum strength. A 50 / 200 EMA crossover system to identify potential trend shifts and dominant market direction. Visual elements such as color-coded Fibonacci levels, informative tooltips, crossover markers, and optional fills between price and PWMA improve readability while keeping the chart structured. This indicator is best suited for traders who rely on session-based structure, Fibonacci reactions, and multi-timeframe trend alignment, particularly in indices, forex, and futures markets.
Pine Script®指标
由xqweasdzxcv提供
1
Z-Score STDEMA BandsZ-Score STDEMA Bands is a mean-reversion and regime-strength indicator built on normalized price deviation. The indicator converts price into a Z-Score, measuring how many standard deviations the current price is from its moving average over a configurable lookback. This makes signals comparable across assets and timeframes. On top of the Z-Score, the script applies an EMA of the Z-Score and dynamically builds upper and lower STDEMA bands using the rolling standard deviation of the Z-Score itself. These bands adapt to volatility in deviation, not price. How to read it: Z-Score (orange line): Distance from mean in standard deviations. Horizontal levels (±1, ±2, ±3): Statistical extremes and mean-reversion zones. Green/Red bands: EMA-based dynamic deviation envelopes. Blue bars: Strong positive deviation (bullish expansion beyond statistical expectation). Yellow bars: Strong negative deviation (bearish expansion beyond statistical expectation). Use cases: Identify overextended price conditions in a normalized framework. Detect trend strength vs. mean-reversion (expansion outside bands). Filter trades by statistical significance, not raw price movement.
Pine Script®指标
由TiagoTF提供
Uptrick: Price Memory Trend StrategyHere are clear, structured notes explaining the Pine Script code — the simplified "LSTM-like" trend predictor you were given earlier. Overall Purpose of the Script The script tries to imitate LSTM memory behavior (long-term memory + selective forgetting/updating) using only Pine Script's basic math and variables — because real LSTM neural networks (with matrices, multiple gates, backpropagation) are not possible in Pine. It creates a persistent memory line that: slowly forgets old information, selectively accepts new price information, tries to act as a trend-following / regime-detecting centerline. Then it uses momentum of this memory line + deviation size to decide whether the market is in an uptrend or downtrend. Key Sections Explained 1. Inputs (tunable parameters) pinescriptmemoryStrength = input.float(0.14, "Forget Gate strength (like 1-f)", step=0.01, minval=0.01, maxval=0.99) inputGate = input.float(0.22, "Input Gate strength", step=0.01, minval=0.01, maxval=1.0) cellDecay = input.float(0.965, "Cell state decay", step=0.001, minval=0.8, maxval=0.999) lookback = input.int(21, "Lookback for momentum", minval=5) sensitivity = input.float(1.35, "Trend sensitivity multiplier", step=0.05) ParameterWhat it controlsTypical effectHigher value means…memoryStrengthHow aggressively old memory is forgottenControls "forget gate" strengthForgets faster, more responsiveinputGateHow much new price is allowed into memoryControls how much price influences cellMemory follows price more closelycellDecayNatural fading of long-term memory per barPrevents memory from living foreverLower = memory fades fasterlookbackPeriod for momentum and deviation calculationSmoothness of trend detectionLonger = smoother, fewer signalssensitivityHow strong momentum must be to flip trendFinal trigger strictnessHigher = fewer but stronger signals 2. Memory Variables (the "LSTM core") pinescriptvar float cell = na // long-term memory ≈ cell state C var float hidden = na // short-term state ≈ hidden state h if bar_index == 0 cell := price hidden := price cell → tries to act like LSTM cell state (long memory) hidden → tries to act like LSTM hidden state (what we actually observe/use) 3. Simplified Gates pinescriptforget = math.tanh(hidden * memoryStrength) i_gate = math.tanh(price * inputGate) candidate = price - hidden forget — value between -1 and +1, but we treat higher positive = forget more i_gate — how much new info we want to accept candidate — the new information we could add (difference from current hidden) Very crude approximation — real LSTM uses sigmoid + learned weights. 4. Core LSTM-like Update Rule pinescriptcell := cell * (1 - forget) + candidate * i_gate cell := cell * cellDecay hidden := cell * 0.65 + price * 0.35 This is the heart of the "fake LSTM": Keep (1 – forget) of old cell Add a portion (i_gate) of the candidate change Apply slow exponential decay (cellDecay < 1) Hidden state = mix between long memory and current price → base = hidden becomes our smoothed, memory-aware centerline. 5. Trend Detection Logic pinescriptmom = ta.change(base, lookback) // how much did memory move in last N bars? dev = math.abs(price - base) // how far is price from memory center? avgDev = ta.ema(dev, lookback * 2) // smoothed deviation size trendScore = (mom / avgDev) * sensitivity // normalized momentum × sensitivity Normalizes momentum by current volatility/deviation High positive → strong upward memory movement → likely uptrend High negative → strong downward memory movement → likely downtrend 6. Trend State Machine (non-repainting flip) pinescriptvar int trend = 0 // 1 = Up, -1 = Down, 0 = Neutral bullCondition = trendScore > 1.0 and trendScore <= 1.0 bearCondition = trendScore < -1.0 and trendScore >= -1.0 if bullCondition trend := 1 else if bearCondition trend := -1 else trend := nz(trend ) Only changes trend when crossing the threshold from the other side Prevents flickering / frequent flipping Persistent until strong opposite signal appears 7. Visualization Summary Background tint (light green/red) Thick memory line (changes color with trend) Dashed ±1.6× deviation bands Big up/down labels on trend flips Alert conditions on every new trend direction Quick Tuning Guide GoalSuggestionFewer but stronger signals↑ sensitivity (1.6–2.2), ↑ lookback (30–60)More responsive / earlier entries↑ inputGate, ↓ cellDecay, ↓ memoryStrengthSmoother memory line↓ inputGate, ↑ cellDecay (0.98+)Better in choppy markets↑ lookback, ↑ sensitivityBetter in trending markets↓ lookback, moderate sensitivity (~1.2–1.5) Most Important Takeaway This is not a real LSTM — it's a hand-crafted, analog-style memory filter inspired by LSTM ideas. It tries to combine: slow-adapting memory (like EMA but with forgetting control) selective update depending on current deviation momentum-of-memory as trend strength Many traders find this kind of memory line more "intelligent" than simple moving averages when tuning the forget/input/decay parameters to match the market personality.
Pine Script®策略
由shravanreddy0808提供
NQ Top 2025 Stocks Screener by ProjectSyndicate📊 NQ Top 2025 Stocks Screener (TradingView) — by ProjectSyndicate Executive Summary This document provides comprehensive documentation for the NQ TOP 2025 Stocks Screener, a powerful Pine Script™ indicator for TradingView. The screener is designed to give traders and investors a high-level overview of performance and advanced risk metrics for a curated list of 40 top-performing Nasdaq stocks in 2025. By presenting rich data in a clean, customizable dashboard, users can quickly: • Identify market leaders • Assess risk-adjusted returns • Make more informed trading decisions The script includes performance metrics across multiple timeframes, plus sophisticated risk and volatility parameters—such as the Kelly Criterion, Sharpe Ratio, and Z-Score—often found in professional-grade institutional tools. ________________________________________ ⭐ Top 10 Key Features # Feature Description 1 Curated Stock List Monitors a list of 40 hand-picked, high-performing Nasdaq stocks. 2 Multi-Timeframe Performance Tracks performance across 6 timeframes: Week, Month, Quarter, 6 Months, 12 Months, and YTD. 3 Advanced Risk Metrics Includes institutional-grade metrics: Beta, Sharpe, Sortino, Omega, Z-Score, Kelly%. 4 Dynamic Sorting Sort the dashboard by any of the 6 performance metrics to instantly find top movers. 5 Customizable Dashboard Control table position (Top/Middle/Bottom + Left/Center/Right) and text size (Small/Normal/Large). 6 Color-Coded Performance Uses a 7-level gradient (bright green → bright red) for quick strength/weakness scanning. 7 Merged Title Heading Full-width title at the top for a clean, professional dashboard look. 8 Daily Timeframe Lock Detects non-daily timeframes and prompts a switch to ensure calculation accuracy. 9 Clean & Readable Code Well-organized and commented for easier understanding and modification. 10 Lightweight & Efficient Optimized to run smoothly on TradingView with minimal lag. ________________________________________ 📖 Overview The NQ TOP 2025 Stocks Screener brings institutional-style market analysis to everyday traders. Instead of reviewing dozens of individual charts, it consolidates the most important data points for 40 Nasdaq stocks into a single, elegant dashboard—helping users save time and quickly spot opportunities while staying aware of risk. ________________________________________ 🛠️ Installation 1. Open TradingView and navigate to any chart. 2. Open the Pine Editor tab at the bottom of the screen. 3. Copy the entire script from NQ_TOP_2025_Stocks_Screener.pine. 4. Paste it into the Pine Editor (replacing any existing text). 5. Click Add to Chart. ✅ The dashboard will appear on your chart. 📌 Recommended timeframe: Daily (for accurate calculations). ________________________________________ 📊 Dashboard Layout (16 Columns) # Header Description 1 No. Rank of the stock based on the current sort order. 2 Ticker Stock ticker symbol. 3 Stock Name Company name. 4 Week% % price change over the last week. 5 Mnt% % price change over the last month. 6 Quarter% % price change over the current quarter. 7 6Mnt% % price change over the current 6 months. 8 12Mnt% % price change over the current 12 months. 9 YTD% % price change from the start of the current year. 10 Wk Vol Annualized weekly volatility. 11 Beta Volatility relative to Nasdaq-100 (QQQ). 12 Sharpe Sharpe Ratio (risk-adjusted return). 13 Sortino Sortino Ratio (downside-risk focused). 14 Omega Omega Ratio (probability of gains vs losses). 15 Z-Score Distance from mean in standard deviations. 16 Kelly% Kelly Criterion (theoretical optimal position sizing). ________________________________________ 🔬 Advanced Risk & Volatility Parameters This screener goes beyond basic performance to provide deeper risk insight. Parameter Description Wk Vol (Weekly Volatility) Annualized standard deviation of weekly returns. Higher = larger price swings. Beta Volatility vs Nasdaq-100 (QQQ). Beta > 1 = more volatile than index; Beta < 1 = less volatile. Sharpe Ratio Excess return per unit of total volatility. Higher = better risk-adjusted return. Sortino Ratio Like Sharpe, but only uses downside volatility (penalizes harmful volatility). Omega Ratio Probability-weighted gains vs losses relative to a threshold. Higher = more favorable return distribution. Z-Score How far a value is from its mean (in standard deviations); helps detect extremes vs average behavior. Kelly% (Kelly Criterion) Suggests an optimal allocation % based on performance and variance (theoretical position sizing). ________________________________________ ⚙️ Customization (Settings Menu) You can customize the dashboard appearance and behavior via the script settings: • Table Position: Choose vertical (Top/Middle/Bottom) and horizontal (Left/Center/Right) placement • Text Size: Small / Normal / Large • Sort By: Select the primary sorting column from any of the 6 performance metrics ________________________________________ 📋 Stock List (40 Nasdaq Stocks) The screener includes the following top-performing Nasdaq stocks in 2025: HYMC, CELC, TERN, AUGO, ONDS, ERAS, ASTS, GRAL, SATS, WDC, COGT, ATRO, OPEN, VSAT, APLD, LASR, PRAX, ALMS, MU, TTMI, ARWR, LITE, CIFR, SSRM, FTAI, MLYS, KTOS, GPCR, RKLB, STX, NVTS, VISN, EOSE, RVMD, LQDA, PPTA, WBD, INDV, ACMR, BLTE
Pine Script®指标
由ProjectSyndicate提供
14
Universal Auto CPR + R1-R5 S1-S5 +Smoothed Heikin AshiWhat this script is doing : ✅ Part A: Smoothed Heikin Ashi candles (visual overlay) It calculates Heikin Ashi OHLC Then applies EMA smoothing to HA values (shaLen) Finally plots the HA candles using plotcandle() 👉 Important: This HA overlay is ONLY for view. It does not change CPR / pivot levels, ✅ Part B : Auto CPR timeframe selection It automatically decides which higher timeframe to use for CPR based on chart timeframe: Rule inside autoTF: Chart timeframe CPR timeframe used seconds or minutes < 60 Daily (D) minutes ≥ 60 Weekly (W) daily Monthly (M) weekly/monthly Yearly (12M) ✅ Recommendation : Add colors + widths to make CPR readable Currently all plots are default color. You can set: Pivot as yellow TC/BC as blue R levels red S levels green Midlines faded (only visual improvement) Happy trading
Pine Script®指标
由RAVIBHUSHANSHARMA提供
BTC - Standard of Living BenchmarkerOVERVIEW Most traders track their wealth in USD or EUR — currencies that are structurally designed to lose value. This is a "Money Illusion." To understand if you are truly becoming wealthier, you must measure your Bitcoin not against fiat, but against the Standard of Living assets you eventually want to buy. The Standard of Living Benchmarker is a macro-ratio engine that swaps the denominator of your chart. It answers the only question that matters for long-term wealth: "Is my Bitcoin stack gaining ground against the real world?" THE "Stuff" BENCHMARKS I have pre-selected four critical pillars of a high standard of living (that can be switched/cycled in the settings window): • Gold: The historical baseline for "Hard Money" (TVC:GOLD). • Equities: The primary engine of global productivity (S&P 500). • Real Estate: Measured via the Vanguard Real Estate ETF (VNQ). • Energy: The fundamental cost of human progress (Crude Oil). THE CORE CALCULATION The calculation is a simple, non-manipulated ratio: • The Formula: Ratio = BTC_Price / Asset_Price • This means: We are looking at the direct barter-rate between Bitcoin and the asset. For example, when the "Energy" mode is selected, the chart doesn't show dollars; it shows exactly how many Barrels of Oil one single Bitcoin can buy at today's close. THE LIFESTYLE BASKET (The 5th Denominator) Individual ratios tell you how Bitcoin is doing against one asset, but life isn't lived in a single asset. To solve this, I introduced the Lifestyle Basket . What is a "Lifestyle Share"? A synthetic "Life Token" that represents a diversified slice of human prosperity. It is an equal-weighted basket consisting of: • 25% Gold (Inflation Hedge) • 25% S&P 500 (Global Growth) • 25% Real Estate (Shelter) • 25% Crude Oil (Energy/Consumption) HOW TO READ THE CHART • How to interpret the ratio: If the dashboard shows that 1 BTC buys 50 Lifestyle Shares , it means your Bitcoin stack has the purchasing power to acquire 50 equal units of the world's most critical assets. • The Purchasing Power Line (Orange): When this line moves UP, Bitcoin is outperforming the real world. You are getting "wealthier" in a tangible sense. When it moves DOWN, your Bitcoin is losing purchasing power against that specific asset class. • The Opportunity Zones: We plot a 200-day Mean with Standard Deviation bands. • Upper Band (Red): Bitcoin is historically "Expensive" compared to the asset. This has historically been a high-probability zone to swap BTC for "Stuff" (Real Estate, Gold, etc.). • Lower Band (Green): Bitcoin is "Cheap" compared to the asset. This is the zone where "Stuff" should be sold to acquire more Bitcoin. WHY THIS IS "FRESH" Unlike standard indicators that use RSI or MACD to find price momentum, this is a Macro-Audit . It ignores the noise of the US Dollar and focuses on the Ratio of Reality . It allows the "Infinite Hodler" to know when they are overextended in Bitcoin and when it is mathematically time to diversify into hard real-world assets. DISCLAIMER This script is for educational and macro-analytical purposes only. It does not constitute financial advice. Benchmarks are proxies for asset classes and may not reflect individual local prices (e.g., local real estate). Tags: bitcoin, macro, gold, realestate, oil, benchmark, purchasing power, wealth, satoshi, Rob Maths, robmaths, Rob_Maths
Pine Script®指标
由Rob_Maths提供
Pro RSI Mean-Deviation Sigmoid Oscillator (Z-Score Normalized)# Pro RSI Mean-Deviation Sigmoid Oscillator (Z-Score Normalized) ## 🧮 Core Mathematical Concept **The Key Formula**: This indicator subtracts RSI's own EMA from the RSI value, divides the result by its standard deviation to create a Z-score, then applies sigmoid normalization to map it into a 0-1 range (displayed as 0-100). **In Simple Terms**: ``` Z-Score = (RSI - RSI_EMA) / Standard_Deviation Sigmoid = 1 / (1 + e^(-k × Z-Score)) Final Output = Sigmoid × 100 ``` This mathematical approach transforms raw RSI momentum into a statistically normalized oscillator that better identifies genuine trend changes while filtering out noise. --- ## 📊 What This Indicator Does This advanced momentum oscillator combines RSI analysis with statistical normalization to identify overbought/oversold conditions and momentum shifts with greater precision than traditional RSI alone. **Core Innovation**: Uses Z-score normalization and sigmoid transformation to convert RSI deviations into a smooth 0-100 scale, reducing noise while maintaining sensitivity to genuine market movements. --- ## 🔧 How It Works ### 1. **RSI Foundation** - Calculates standard RSI over your chosen period (default: 14) - Applies an EMA smoothing line to identify the RSI trend ### 2. **Statistical Normalization** - Measures deviation between RSI and its EMA - Calculates Z-score (standard deviations from mean) - Normalizes extreme values while preserving relative strength ### 3. **Sigmoid Transformation** - Maps Z-scores to a 0-100 scale using sigmoid function - Creates smooth transitions between bullish/bearish zones - Reduces false signals from RSI whipsaws ### 4. **RSI Bollinger Bands** - Adds dynamic overbought/oversold bands around RSI - Adapts to market volatility automatically - Confirms extreme conditions when RSI breaches bands ### 5. **Momentum Histogram** - Visualizes rate of change in normalized momentum - Green bars = strengthening bullish momentum - Red bars = strengthening bearish momentum --- ## 📈 How to Use ### **Primary Signals** **Sigmoid Oscillator (Thick Line)** - **Above 50** = Bullish momentum dominant - **Below 50** = Bearish momentum dominant - **Crossing 50** = Potential trend change **Extreme Zones** - **Above 70** = Overbought (green background) - Consider taking profits or preparing for reversal - **Below 30** = Oversold (red background) - Watch for potential bounce or reversal ### **Confirmation Signals** **RSI Bollinger Band Breaches** (Purple background) - RSI above upper band = Extremely overbought - RSI below lower band = Extremely oversold - Strong confirmation when paired with sigmoid extremes **RSI vs RSI EMA Crossovers** - Purple line (RSI) crossing above orange line (EMA) = Early bullish signal - Purple line crossing below orange line = Early bearish signal **Momentum Histogram** - Growing green bars = Accelerating bullish momentum - Growing red bars = Accelerating bearish momentum - Shrinking bars = Momentum weakening (potential reversal warning) --- ## ⚙️ Parameter Settings ### **RSI Period** (Default: 14) - Lower (7-10) = More responsive, more signals - Higher (20-30) = Smoother, fewer false signals - Recommended: Keep at 14 for most timeframes ### **RSI EMA Period** (Default: 14) - Controls smoothness of RSI trend line - Match to RSI period for standard behavior - Increase for longer-term trend identification ### **Standard Deviation Period** (Default: 20) - Lookback window for Z-score calculation - Lower = More sensitive to recent changes - Higher = More stable, slower to react ### **Sigmoid Sensitivity (k)** (Default: 1.0) - **0.5-0.8** = Smoother, less extreme readings - **1.0-1.5** = Balanced sensitivity - **2.0+** = More aggressive, reaches extremes faster - Adjust based on asset volatility ### **Bollinger Band Multiplier** (Default: 2.0) - Standard deviation multiplier for RSI bands - **1.5** = Tighter bands, more frequent signals - **2.5-3.0** = Wider bands, only extreme moves --- ## 💡 Trading Strategies ### **Strategy 1: Momentum Continuation** 1. Wait for sigmoid to break and hold above 70 (bullish) or below 30 (bearish) 2. Confirm with growing momentum histogram in same direction 3. Enter in direction of momentum when RSI breaks Bollinger bands 4. Ride the trend until sigmoid crosses back through 50 or momentum histogram shrinks 5. This indicator excels at catching strong, sustainable momentum moves ### **Strategy 2: Momentum Breakout** 1. Identify sigmoid consolidation near 50 2. Watch for strong break above 70 or below 30 3. Confirm with growing momentum histogram 4. Enter in direction of break, exit when momentum weakens ### **Strategy 3: Divergence Detection** 1. Compare price action to sigmoid oscillator 2. Bullish divergence: Price makes lower low, sigmoid makes higher low 3. Bearish divergence: Price makes higher high, sigmoid makes lower high 4. Enter when sigmoid confirms with 50-line cross ### **Strategy 4: Multi-Timeframe Confluence** 1. Use on higher timeframe (4H/Daily) for trend direction 2. Use on lower timeframe (15M/1H) for entry timing 3. Only take trades when both timeframes align 4. Increases win rate significantly --- ## ⚠️ What to Watch For ### **Best Conditions** - ✅ Trending markets with clear momentum - ✅ Assets with decent volatility (not too choppy) - ✅ When multiple signals align (sigmoid + bands + histogram) - ✅ Confirmed with price action or volume ### **Difficult Conditions** - ❌ Sideways, choppy markets (generates false signals) - ❌ Low volatility periods (sigmoid may not reach extremes) - ❌ Major news events (can cause extreme whipsaws) - ❌ Very low timeframes (<5min) - too much noise ### **Common Pitfalls** - Don't trade sigmoid extremes blindly - wait for reversal confirmation - Don't ignore the momentum histogram - it shows strength of moves - Don't use in isolation - combine with support/resistance, volume, etc. - Don't over-optimize parameters - default settings work well for most assets --- ## 📋 Risk Disclaimers **IMPORTANT:** This indicator is for educational purposes only and is NOT financial advice. All trading involves substantial risk of loss. Past performance does not guarantee future results. Always use proper risk management, backtest thoroughly, and consult a licensed financial advisor before making trading decisions. The creator assumes no liability for your trading results. **Trade at your own risk.** --- ## 🔍 Additional Considerations ### **Combine With:** - Support and resistance levels - Volume analysis - Trend indicators (moving averages) - Price action patterns - Market structure analysis ### **Timeframe Recommendations:** - **Scalping (1-5min)**: Lower RSI period (7-10), higher sigmoid sensitivity - **Day Trading (15min-1H)**: Default settings work well - **Swing Trading (4H-Daily)**: Increase all periods by 50-100% - **Position Trading (Weekly)**: Double all default periods ### **Asset-Specific Tips:** - **Crypto**: Often more volatile - consider k=0.8 for smoother signals - **Forex**: Works well on major pairs with default settings - **Stocks**: May need slight adjustments per stock volatility - **Indices**: Very effective with standard parameters --- ## 📝 Credits & Sharing Feel free to share this indicator! If you make modifications or improvements, consider sharing back with the community. **Version**: 5 **Created for**: TradingView Pine Script **Category**: Oscillators / Momentum --- *Happy Trading! Remember: The best indicator is the one between your ears. Always think critically and trade responsibly.* 📊✨
Pine Script®指标
由hasanaksoy199264提供
1
ATR# ATR Trailing Stop Multi-Strategy v7 with Pivot & GST ## Overview A comprehensive multi-indicator trading strategy that combines multiple technical analysis approaches with sophisticated risk management. The strategy uses a confirmation-based system where trades are executed only when multiple indicators agree on the direction. ## Core Strategy Logic ### Signal Confirmation System - **Entry Condition**: Requires at least 3 confirmation points from different indicators - **Weighted Indicators**: - Dow Theory (Weight: 2 points) - ATR Trailing Stop (Weight: 2 points) - Gaussian Smooth Trend (Weight: 1 point) - KAMA (Weight: 1 point) - VWMA (Weight: 1 point) - Alligator (Weight: 1 point) ### Exit Conditions - **Profit Exit**: When opposite signals achieve 3+ confirmation points - **Stop Loss**: Fixed percentage stop loss (configurable) - **Filter-Based Exit**: Signals from individual indicators when filters are violated ## Technical Indicators ### 1. Dow Theory Filter - Analyzes volume and volatility conditions - Uses SMA 20/50 crossovers for trend direction - Volume must exceed MA by threshold (default: 1.5x) - NATR must exceed threshold (default: 1.0%) ### 2. ATR Trailing Stop System - Three ATR-based trailing lines (Fast/Medium/Slow) - Fast: ATR(5) × 0.5 multiplier - Medium: ATR(10) × 1.5 multiplier - Slow: ATR(20) × 3.0 multiplier - State changes when medium line crosses slow line ### 3. Gaussian Smooth Trend (GST) - Advanced smoothing using DEMA, Gaussian filter, and SMMA - Includes standard deviation bands for volatility filtering - Multiple color schemes available for visualization ### 4. KAMA (Kaufman Adaptive Moving Average) - Two KAMA lines with different lengths (10, 24) - Adaptive smoothing based on market volatility - Signals generated on crossovers ### 5. VWMA (Volume Weighted Moving Average) - Price weighted by volume - Signals on price crossing VWMA ### 6. Alligator Indicator - Three SMMA lines (Jaw/Teeth/Lips) - Standard Williams Alligator settings - Signals based on line alignment and price position ## Entry Block Filters ### ADX Filter (Optional) - Filters trades based on trend strength - Configurable min/max values for long and short positions - Default: ADX between 15-60 ### RSI Filter (Optional) - Additional RSI-based filtering - Separate ranges for long and short positions - Default Long: RSI 20-70, Short: RSI 30-80 ### NATR Filter (Optional) - Filters based on normalized ATR - Ensures minimum volatility for valid signals - Default Long/Short: NATR 0.5-5.0% ## Additional Filters ### CCI Filter - Filters signals based on CCI momentum - Oversold condition for longs: CCI > -100 and rising - Overbought condition for shorts: CCI < 100 and falling ### Volatility Filter - Minimum ATR percentage requirement - Default: 0.3% minimum ATR/price ratio ### Distance Filter - Minimum distance from Alligator lips in pips - Ensures sufficient movement before entry - Default: 10 pips minimum ## Pivot Points Support - Multiple pivot point calculation methods: - Traditional - Fibonacci - Woodie - Classic - DM - Camarilla - Multiple timeframe support (Daily, Weekly, Monthly, etc.) - Visual display of pivot levels and labels ## Risk Management ### Stop Loss - Configurable percentage-based stop loss - Default: 2.5% - Applied immediately on entry ### Position Management - Single position only (no pyramiding) - Position tracking with P/L calculation - Visual exit lines for individual indicator signals ## Visual Features ### Signal Display - Colored arrows for each indicator signal - Entry/Exit labels with price information - Horizontal exit lines for visual confirmation - All indicators can be toggled on/off ### Color Schemes - GST with multiple color modes - Customizable pivot point colors - Consistent color coding across indicators ## Alerts - Entry alerts for both long and short positions - Exit alerts for both profit and stop loss exits - Individual indicator alerts available ## Settings Overview ### Strategy Settings - Dow Theory thresholds (Volume, NATR) - Stop loss percentage - ATR Trailing parameters - Indicator toggles and weights ### Filter Settings - Entry block filters (ADX, RSI, NATR) - CCI parameters - Volatility and distance filters ### Visual Settings - Show/hide indicators - Arrow and label display - Color scheme selection ### Pivot Settings - Calculation method - Timeframe - Level colors and visibility ## Usage Recommendations ### Timeframes - Works on all timeframes - Pivot points automatically adjust to timeframe - Recommended: 15-minutes and above ### Market Conditions - Best in trending markets - Multiple filters help avoid choppy conditions - Volume confirmation adds reliability ### Customization - Adjust confirmation thresholds for more/less aggressive trading - Modify filters based on market volatility - Fine-tune stop loss based on risk tolerance ## Performance Notes - Strategy uses close prices for order execution - Maximum 500 labels to prevent chart clutter - All calculations in real-time - Historical backtesting supported ## Important Notes - Past performance doesn't guarantee future results - Test thoroughly before live trading - Adjust parameters for specific instruments - Consider commission and slippage in backtesting
Pine Script®策略
由gaba_vsa提供
IA-12 ScreenerIA-12 Screener is a table-based, multi-asset indicator designed to help traders quickly identify potential buying and shorting opportunities across up to 12 instruments simultaneously. The indicator combines Fibonacci-based price levels, trend context, momentum, and volatility-adjusted risk metrics into a single, easy-to-scan dashboard. It is intended as a decision-support tool, allowing you to evaluate multiple assets at a glance without cluttering your chart. Key Features Supports up to 12 user-defined assets Uses All-Time High (ATH) as the Fibonacci anchor Automatically identifies Nearest Buy Fib (support) and Nearest Sell Fib (resistance) levels Highlights potential opportunities when price is close to a Fib level Normalizes distance using ATR for volatility-aware risk assessment Includes trend and momentum filters to improve signal quality Column Overview Column | Description Ticker | Asset symbol Price | Current / live price on the chart timeframe ATH (D) | All-time high calculated from daily data Dist ATH % | Percentage distance below ATH Trend | Daily trend regime using 50/200 MA (Bull / Bear / Neutral) RSI | Momentum regime (OB = Overbought, OS = Oversold, N = Neutral) Buy Fib | Nearest Fibonacci level below price (support) Buy % | Percentage distance to Buy Fib Buy ATR | Distance to Buy Fib expressed in ATR units Sell Fib | Nearest Fibonacci level above price (resistance) Sell % | Percentage distance to Sell Fib Sell ATR | Distance to Sell Fib expressed in ATR units Band % | Width between Buy and Sell Fib (compression measure) Last Chg | Bars since the nearest Fib side changed Visual Highlights Green cells indicate the price is closest to that Fib side (Buy or Sell) and within a user-defined distance threshold. “Tight” Band % highlights Fibonacci compression zones, which often precede volatility expansion. How to Use the Screener For Long (Buy) Ideas Trend = Bull Buy Fib highlighted (green) Buy ATR < ~1.0 RSI = Neutral or Oversold For Short (Sell) Ideas Trend = Bear or Neutral Sell Fib highlighted (green) Sell ATR < ~1.0 Price close to ATH (low Dist ATH %) For Watchlist Priority Look for Tight Band % values Signals with low “Last Chg” are fresher Customization Assets are fully user-configurable (defaults are provided) Thresholds for highlighting and compression can be adjusted Designed to work on any chart timeframe ⚠️ Disclaimer This indicator is not a trading system and does not generate buy or sell orders. It is intended for analysis and screening purposes only. Always confirm signals with your own risk management and additional analysis.
Pine Script®指标
由Secret-Satoshi提供
Crypto RSI AdvancedThe Crypto RSI Advanced Indicator: A Multi-Dimensional Market Assessment Tool This document outlines the unique features, functionality, implementation, and theoretical foundation of the "Crypto RSI Advanced" indicator. It is designed to be far more than a simple oscillator; it is a comprehensive analytical suite that enhances the classic Relative Strength Index (RSI) by incorporating trend-filtered signals, visual context, and real-time market state diagnostics. Core Originality & Unique Value Proposition The primary innovation of this script lies in its multi-layered, context-aware approach to momentum analysis. While traditional RSI indicators often generate signals based solely on crossing static levels (like 30/70), leading to false signals in strong trends, this script synthesizes four critical dimensions of information: Momentum Value: The raw RSI reading. Momentum Trend: The direction of the RSI itself, determined by its short-term trajectory. Zone Persistence: Whether the RSI is coming from an overbought/oversold condition, adding conviction to breakouts. Integrated Signal Confirmation: The use of a smoothed signal line (EMA of RSI) for additional validation. This synthesis transforms the RSI from a standalone oscillator into a cohesive trading system framework that helps distinguish between potential reversal points and mere pauses within a strong trend. What It Does & How It Achieves It The indicator performs several interconnected functions, presented in a single pane below the price chart: Enhanced RSI & Signal Line Plotting: It calculates the standard RSI based on a user-defined source and length. It plots a smoothed Signal Line (an EMA applied to the RSI values), which acts as a dynamic filter. Crosses between the RSI and this signal line can provide earlier or more refined entry clues than static level crosses alone. Dynamic Visual Context and Alerts: Colored Background Bands: The plot area is dynamically shaded to visually telegraph the market state at a glance: blue for oversold, orange for overbought, and white for the neutral zone. Conditional RSI Line Coloring: The RSI line itself changes color based on its zone and position relative to the 50 mid-line, providing instant visual feedback on momentum strength and bias. Multi-Tiered Signal Detection: The script identifies four distinct signal types: Buy/Sell Signal: Triggered when the RSI crosses back inside the oversold/overbought band from an extreme. This aims to catch early reversals as momentum exits an extreme state. Strong Buy/Strong Sell Signal: A higher-conviction signal triggered when the RSI crosses the oversold/overbought level from within the extreme zone. This suggests a more powerful shift in momentum as the market exits a deeply overextended condition. Integrated Market Intelligence Panel: A key original feature is the fixed information table in the top-right corner. This panel synthesizes all calculations into a concise, actionable snapshot for the latest bar, including: Current precise RSI value. Market State (e.g., Overbought, Bullish Bias, Neutral). RSI Trend (Rising, Falling, Consolidating), assessing the oscillator's own momentum. Active Signal Status (e.g., "Strong Buy", "No Signal"). Zone Intensity (e.g., "Extreme Overbought", "Normal"). Clear Level Annotation: On the final bar, it draws labeled markers at the key levels (Oversold, Mid, Overbought) for a clean and permanent reference on the chart. How to Use It Application: This tool is designed for momentum confirmation, divergence spotting, and identifying potential reversal zones within a broader trend context. It is particularly useful for swing traders and position traders looking for higher-probability entry points, rather than for pure, high-frequency scalping. Usage Guidelines: Parameter Setup: Adjust the core RSI Length and Signal Length to match the volatility of your asset and trading timeframe. The default (14, 9) offers a balanced approach. Signal Hierarchy: Prioritize "Strong" signals over regular signals, as they carry the added context of a zone breakout. A "Strong Buy" signal appearing in an overall uptrend on the higher timeframe presents a high-conviction scenario. Synthesize Information: Do not trade on signals alone. Use the Information Panel for context. For example, a "Buy Signal" occurring while the panel shows "Market State: Oversold" and "RSI Trend: Rising" offers a congruent, multi-factor setup. Visual Context: Use the colored bands and line colors for quick assessment. A blue (bullish) RSI line forming in the blue (oversold) shaded area provides immediate visual congruence for a potential long setup. Confirmation: As with any oscillator, use this tool in conjunction with price action analysis (support/resistance, chart patterns) and other non-correlated indicators (e.g., a trend-following indicator like a moving average) to filter trades and avoid whipsaws in ranging markets. Underlying Computational Philosophy The script's logic is built upon the principle of "Contextual Momentum Analysis." The core premise is that the absolute value of the RSI is less important than its behavior relative to its recent state and trajectory. Trend-Filtered Momentum: By analyzing the RSI's own trend (rsi_trend_up/down), the script introduces a crucial filter. A sell signal occurring while the RSI's internal trend is still rising may be less reliable, warning of a potential false signal. Zone-Based Conviction: The distinction between a regular and a "Strong" signal is philosophically significant. It applies the concept of "impulse from an extreme." A reversal signal that originates from deep inside an extreme zone is considered to have more kinetic energy (conviction) than one that forms near the boundary. Synthesis Over Isolation: The script deliberately avoids providing a single "answer." Instead, it presents multiple, simultaneous data points (value, trend, zone, signal line interaction, historical state) and presents them together in the information panel. This empowers the trader to make a reasoned decision based on a confluence of factors, mimicking the analytical process of a seasoned chartist. In essence, this indicator automates and visualizes a sophisticated, multi-step analytical process that a trader would otherwise have to perform manually, thereby enhancing speed, consistency, and depth of market analysis.
Pine Script®指标
由neeson1987提供
Crypto MACD SignalsUnlocking Enhanced Market Insights: A Next-Generation MACD Indicator for Cryptocurrency Trading Introduction: Beyond Traditional MACD In the vast landscape of technical analysis tools, the Moving Average Convergence Divergence (MACD) stands as one of the most ubiquitous and trusted momentum indicators. However, its classic formulation often leaves traders sifting through frequent crossovers, struggling to distinguish high-probability signals from market noise, especially in the volatile cryptocurrency markets. This script represents a significant evolution of the classic MACD, transforming it from a standalone oscillator into a comprehensive, multi-layered signal detection system. Its core originality lies not in reinventing the MACD calculation, but in augmenting it with proprietary filtering mechanisms, quantitative signal scoring, and visual prioritization to enhance decision clarity and timing. Core Functionality: What It Does and How It Achieves It This indicator, titled "Crypto MACD Signals," is a dedicated, non-overlay oscillator built for clarity and actionability. It performs three primary functions simultaneously: Enhanced MACD Visualization: It plots the traditional MACD line, Signal line, and Histogram with a refined color scheme. The histogram is dynamically colored (blue for bullish, orange for bearish) but introduces a key innovation: the identification of "Huge" or "Anomalous" Bars. A bar is highlighted in bright white when its size exceeds twice the 20-bar Simple Moving Average of the absolute histogram values. This instantly draws attention to moments of exceptional momentum surge or capitulation, which often precede significant trend accelerations or reversals. Context-Aware Signal Generation: Instead of marking every MACD line crossover, the script applies a crucial logical filter. It only plots a "BUY" signal (green upward triangle) when a bullish crossover occurs while the histogram is below the zero line. Conversely, a "SELL" signal (red downward triangle) is plotted only when a bearish crossover occurs while the histogram is above the zero line. This filter ensures signals are generated in the context of a potential trend reversal from an oversold or overbought state, rather than during the middle of a strong trend, dramatically increasing the signal's statistical edge. This aligns with a classic "Oscillator Reversal from Extremes" methodology within trend-following systems. Real-Time Performance Dashboard: A fixed table in the top-right corner serves as a live statistical dashboard. It tracks and displays the total count of: Generated Buy Signals Generated Sell Signals Total "Huge" Histogram Bars (both bullish and bearish) This provides traders with an at-a-glance understanding of recent market activity—whether it has been signal-rich or quiet, and the frequency of high-momentum events—aiding in assessing the current market regime (e.g., trending vs. consolidating). Implementation and Practical Usage The indicator is designed for tactical swing trading and momentum-based intraday positioning in crypto assets. Its primary use case is for identifying "Pullback Entries within a Trend" and "Early Trend Reversal Confirmations." For Trend-Following: A trader in an established uptrend would wait for a pullback that drives the MACD histogram negative. A subsequent bullish crossover that triggers a "BUY" signal, especially if accompanied by a "Huge" bullish histogram bar, offers a high-confidence entry point to re-join the trend. For Counter-Trend/Reversal Scenarios (Scalping): The script is highly effective for a specific scalping technique: "Fading Extreme Momentum Exhaustion." A cluster of "Huge" bearish bars followed by a diminishing histogram and a bullish crossover signal can indicate selling exhaustion, presenting a short-term long scalp opportunity. The inverse applies for short scalps. The labels ("🔥") and arrows provide clear visual cues for these setups directly on the chart. Workflow: Traders are advised to first observe the statistical table to gauge recent activity. Then, they should look for convergence between a filtered arrow signal (BUY/SELL) and the appearance of a "Huge" bar or a cluster of them. This multi-factor confirmation is the cornerstone of the strategy. Underlying Philosophy and Calculation Logic The script's intelligence is built on a layered philosophy of "Momentum Quantification and Contextual Validation." Dynamic Thresholding for Anomalies: The "Huge Bar" detection does not use a fixed threshold. By comparing the current histogram value to a recent average of absolute momentum (ta.sma(math.abs(hist_line), 20)), it creates an adaptive, market-responsive benchmark. A bar that is 200% larger than recent average momentum is statistically anomalous, suggesting institutional-sized order flow or a major shift in sentiment. This is a direct application of statistical volatility band principles to momentum, not price. Signal Filtering for Phase Alignment: The conditional logic for plotting arrows (bullish_cross and hist_line < 0) ensures the MACD crossover signal is aligned with the correct momentum phase of the market cycle. A buy signal is only valid if momentum (histogram) is coming from a "recharging" or bearish area (below zero), not when it's already extended above zero. This prevents buying at a peak and selling at a trough, which is a common pitfall of the raw indicator. This embodies the trading axiom: "Trade the turn, not the continuation." Quantitative Self-Awareness: The integrated counter and dashboard represent a meta-analysis layer. It allows the tool to provide feedback on its own performance density. A market generating many signals might be choppy and range-bound, while a market with few signals but several "Huge Bars" might be in a strong, steady trend. This helps the trader select the appropriate strategy (trend riding vs. reversal scalping) for the current environment. In essence, this script synthesizes several respected trading concepts: the core trend/momentum logic of MACD, the anomaly detection common to volatility-based indicators like Keltner Channels, and the signal-verification philosophy of multi-indicator systems—all packaged into a single, coherent, and visually intuitive tool specifically tuned for the unique amplitude and speed of cryptocurrency markets.
Pine Script®指标
由neeson1987提供
[PAPI] TF-OBV-ATR-Weighted MACDThis is a MACD indicator with a few differences: Multi-Timeframe: The indicator calculates the "MACD", the "Signal" and the "Histogram" for four user-defined timeframes. Volume weighted: The three MACD variables calculated for each timeframe above are weight-averaged according to On Balance Volume (OBV). Volatility weighted: The three MACD variables calculated for each time frame above are also weight-averaged according to Average True Range (ATR) The MACD, Signal and Histogram are plotted. I use the indicator twice. Once with the user defined Timeframes set to high TFs (Month/Week/Day/4h) - this is for directional bias. And once with lower TFs (1m/3m/15m/1h).
Pine Script®指标
由papichulo2x69提供
MA4 Alignment with Forward ProjectionThis indicator is a moving-average alignment and projection overlay built on a simple core idea: MA4 (a 4-period moving average) represents the current short-term mean of price. MA4 is the prior value of that same moving average, used as a 1-bar delayed reference. From those two series, the script provides four layers of information: Live alignment (MA4 vs MA4 ) A forward projection of a sampled historical MA pattern Projected cross markers (vertical lines) when the projected MA4 would cross projected MA4 A compact table summarizing current alignment and the most recent live cross event This is designed to help traders visualize: whether short-term mean behavior is strengthening or weakening, and where a future cross could plausibly occur if a selected historical pattern repeats. This script is informational only and does not place trades. Chart Setup Note (Important) Because this tool samples a historical pattern window and projects it forward, it is important to let the chart fully load/merge historical data before interpreting the projection. If the chart history is not fully loaded, the sampled window may be incomplete, which can shift the projection and projected cross markers. Once the chart is fully merged, the projection remains stable and consistent during scrolling and replay. What Makes It Different This is not a basic “MA crossover” indicator. The core differentiator is: The script extracts a historical MA4 pattern from a user-defined window, shifts it forward into the future, and marks projected future crosses between the projected MA4 and projected MA4 . It also builds projected deviation envelopes from the sampled window and uses those envelopes for optional stretch/invalidation alerts. How the Projection Works (Concept) 1) Sample a historical MA “pattern window” You define a window in the past using: Pattern Start (bars back) Pattern End (bars back) The script collects MA4 values across that window into an internal pattern array. 2) Shift the pattern forward Shift Pattern Forward (bars) controls how far into the future the sampled pattern is plotted. 3) Delta-anchor projection (optional) If Delta-anchor projection is enabled, the script projects the shape of the pattern while re-centering it around the current MA4 level. This keeps the projection visually relevant to current price scale instead of “pasting” old absolute values. Projected Cross Vertical Lines When projection is enabled, the script checks for projected cross events: Bull projected cross: projected MA4 rises through projected MA4 Bear projected cross: projected MA4 falls through projected MA4 When a projected cross occurs, a vertical line marks that projected bar as a possible timing point. Vertical line visibility is made more consistent by using a deviation-based height (with ATR fallback) so the marker remains readable across different symbols and volatility regimes. Projected Deviation Envelopes + Alerts (Band 3 / Band 4) The script measures historical deviation from MA4 within the sampled window using the standard deviation of: (close − MA4) That deviation is then applied to the projected MA4 path to form projected envelopes: Band 3 (Stretch): ±(StDev × 1.618 by default) Band 4 (Invalidation): ±(StDev × 2.618 by default) Optional alerts can trigger when price breaches these projected envelopes: Band 3 Breach: price stretched outside the projected range Band 4 Breach: price exceeded the larger projected boundary (often treated as invalidation context) Alerts can be set to use wicks or close. Table: What It Shows The table summarizes the current state at a glance: MA4 value MA4 value Alignment: Bullish / Bearish / Neutral Most recent live cross event: BUY (MA4 crossed above MA4 ) SELL (MA4 crossed below MA4 ) This helps confirm what you’re seeing without relying on visual estimation. How to Use It (Simple Workflow) Read live alignment MA4 above MA4 = bullish bias MA4 below MA4 = bearish bias Enable projection for timing awareness Turn on Projection Watch projected cross VLines as “possible next inflection timing” markers Use Band 3 / Band 4 as context Band 3 breach can indicate stretch vs the projected path Band 4 breach can indicate the projected path is less reliable (invalidation context) Use the table for quick confirmation It summarizes alignment and the latest live cross state.
Pine Script®指标
由Dinjin提供