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指标和策略

BTC - Satoshis Altcoin Graveyard OVERVIEW The Satoshi's Altcoin Graveyard (SAG) is a macro-statistical engine designed to solve the problem of Survivorship Bias . It is a well-known phenomenon in the crypto markets that the "Top 10" list is in a constant state of flux. If you look at historical data from CoinMarketCap (CMC) year by year, you will see a revolving door of projects that once seemed "too big to fail" disappearing into obscurity. Meanwhile, Bitcoin has remained the undisputed #1 since inception. While most traders have a "gut feeling" that Altcoins eventually depreciate against Bitcoin, I believe in measuring it and drawing it on a chart for better visibility. By locking in specific "Cohorts" of market leaders from the past, we can track their inevitable decay through the Satoshi Sieve . THE 13-COIN STATISTICAL BUCKET To ensure an objective, non-biased audit, each cohort (we look at 2018, 2020 and 2022) is constructed using a fixed market-cap methodology from the snapshot date (excluding stablecoins): • The Core: The Top 10 non-stablecoin assets at that time by Marketcap. • The Risk Alpha: Representative samples from the Top #25, #50, and #100 ranks. (By including lower-ranked "riskier" alts, we capture the full statistical decay of the market, not just the "Blue Chips.") TECHNICAL ARCHITECTURE This script is engineered to push the boundaries of the Pine Script engine. TradingView enforces a hard limit of 40 unique data requests . By tracking 3 cohorts of 13 assets plus the Bitcoin base, this indicator utilizes exactly 40/40 requests , providing the maximum possible data density in a single chart window. THE SPS CONCEPT (Survival Probability Score) The SPS measures the Breadth of Survival . It answers: "How many coins from this year (the year of the snapshot) are actually outperforming BTC?" We use a binary logic system to determine if a coin is "Winning" or "Losing" against the only benchmark that matters: Bitcoin. • The Status Formula: Status = Current_Alt_BTC_Ratio >= Entry_Alt_BTC_Ratio ? 1 : 0 . This means: Every single day, at the Daily Close , the script compares the current Alt/BTC ratio to the fixed ratio from the snapshot date. If the coin is worth more in Bitcoin today than it was back then, it is assigned a "1" (a Win). If it has lost value against Bitcoin, it gets a "0" (a Loss). • The SPS Line: SPS Line = (Sum of 'Wins' / 13) * 100 This means: We add up all the "Winners" for that specific day and turn it into a percentage. For example, if the Aqua line is at 7.69% on your chart, it confirms that on that day , exactly 1 out of the 13 coins was successfully beating Bitcoin, while the other 12 were underperforming. THE PERFORMANCE MATRIX In the top-right corner, we provide a Weighted Portfolio Simulation . This answers the financial question: "If I swapped 1 BTC into an equal-weight basket of these 13 coins on the snapshot day, what is my BTC value today?". • Value < 1.0 BTC: You lost purchasing power compared to holding Bitcoin. • Value > 1.0 BTC: You successfully achieved "Alpha" over the benchmark. HOW TO READ THE CHART • The Waterfall: Lines generally trend downward as the "Satoshi Sieve" filters out assets that cannot maintain their BTC-relative value. • Dynamic Winners: We dynamically print the names of the current survivors at the tip of each line. If a cohort shows "None," the graveyard is full. HOW TO READ THE MATRIX • The BTC Target: Any portfolio value in the matrix below 1.0 BTC represents a failed altcoin rotation. • Class of 2018: A portfolio value near 0.15 BTC at the current date, means a 85% loss rate. • Class of 2020: A portfolio value near 0.77 BTC at the current date, means an approx 20 % loss rate. • Class of 2022: A portfolio value near 0.31 BTC at the current date, means an approx 70% loss rate. DIFFERENCE FROM AN ALTCOIN INDEX Standard Altcoin Indexes (like my ALSI Index ) "rebalance" by removing losers and adding new winners. This is deceptive. The Altcoin Graveyard never rebalances . It forces you to watch the "losers" decay, providing a realistic look at the long-term opportunity cost of "Buy and Hold" for anything other than Bitcoin. CONCLUSION The data revealed by the Satoshi Sieve leads to a singular, sobering "Lesson Learned": Picking the right coin to outperform Bitcoin is not just difficult—it is statistically improbable over a long-term horizon. While the "Risk-Reward" of altcoins is often marketed as having higher upside, the Altcoin Graveyard proves that for the vast majority of assets, the reward does not justify the risk of total portfolio erosion in BTC terms. • The Mathematical Odds: If you picked a Top 10 coin in 2018, your chance of outperforming BTC today is effectively 0%. • The Rotation Trap: Most investors "HODL" these assets into the graveyard, hoping for a return to previous ATHs that never comes because the liquidity has already moved on to the next "Class" of winners. The final conclusion is clear: Diversification into altcoins is often just a slow-motion transfer of wealth back to Bitcoin. If you cannot identify the 1-out-of-13 that survives the Sieve, your best risk-adjusted move has historically been to simply hold the benchmark. DISCLAIMER This script is for educational purposes only. It does not constitute financial advice. It is a mathematical study of historical opportunity cost and survivorship bias. Tags bitcoin, btc, satoshis graveyard, altseason, dominance, total3, rotation, cycle, index, alsi, Rob Maths, robmaths
Pine Script®指标
由Rob_Maths提供
NQ ICT NY Session ChecklistNQ ICT NY Session Checklist A manual, on-chart checklist indicator designed to enforce ICT execution rules during the New York session on Nasdaq (NQ). The script displays a step-by-step confirmation panel for higher-timeframe bias, liquidity identification, liquidity sweep, market structure shift, fair value gap entry, and risk/reward validation. It helps prevent early entries, FOMO, and overtrading by clearly indicating when all conditions are met and the trader is ready to execute.
Pine Script®指标
由Debra527提供
BTCUSD 1D Trend Strategy [Gemini]1Dchart 100% of equity per trade 0.1% commission 1 tick slippage please convert this indicator to a trading strategy as you see fit find attached the date of the chart and the indicator on BTCUSD 1D chart so you can make a better decision when to buy and sell avoid forward looking and repainting at all costs. Don't add tables to the chart don't ever use line breaks in function calls: long only 2018-2069 1D chart 100% of
Pine Script®策略
由sniperlordfx提供
Ichimoku Cloud Breakout [Full System + Black Labels]Ichimoku Cloud Breakout & Twist System This indicator implements a disciplined Ichimoku Cloud Breakout strategy designed to filter noise and capture high-probability trends. Unlike simple crossovers, it enforces a "Triple Confluence" setup: price must break the Cloud, the Future Cloud must match the trend direction, and the Chikou Span (Lagging Span) must be free of past price traffic to confirm momentum. To keep your charts clean, it features a State Filter that blocks repetitive alerts (alternating Buy/Sell signals only) and includes a predictive "Twist Ahead" warning system, which visually alerts you to future Cloud twists, often a precursor to reversals or volatility, 26 periods in advance.
Pine Script®指标
由shinegami25提供
Weekly Regime Filter - Trend + Momentum + Structure (MTF)A multi-timeframe weekly regime indicator that classifies market conditions into BULL , BEAR , or CHOP using three components: trend, momentum, and market structure. Works on any timeframe while always referencing weekly data — no repainting. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 WHAT IT DOES Answers one question: What is the weekly regime? • Trend — EMA hierarchy (Price > EMA Fast > EMA Slow) • Momentum — DI+ vs DI- with optional ADX filter • Structure — Break of Structure (BOS) and Change of Character (CHOCH) BULL = All three bullish BEAR = All three bearish CHOP = Mixed signals ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚡ KEY FEATURES • Multi-Timeframe (MTF) — View on 1H, 4H, Daily; regime stays consistent • Auto-Detect Asset Type — Automatically applies optimized settings for Crypto, Stocks, Forex, Gold, Silver, Oil, Commodities • BOS/CHOCH Labels — Visual market structure breaks on chart • Live Status Panel — Shows regime, components, and active parameters • Non-Repainting — Uses confirmed weekly closes only ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 ASSET PRESETS • Crypto — EMA 50/200, ADX Off, Pivot 2 • Stocks/Indices — EMA 50/200, ADX >20, Pivot 3 • Forex — EMA 30/100, ADX >25, Pivot 2 • Gold — EMA 40/150, ADX >20, Pivot 3 • Silver — EMA 40/150, ADX >22, Pivot 3 • Oil — EMA 30/100, ADX >25, Pivot 2 • Commodities — EMA 40/120, ADX >20, Pivot 3 Select "Custom" to use your own values. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📈 HOW TO USE For Swing Trading: • Set chart to Daily • Use Auto-Detect or select preset • Long only when BULL, short only when BEAR • Reduce size or avoid when CHOP Structure Signals: • CHOCH ↑ after bear regime = Early reversal signal • CHOCH ↓ after bull regime = Tighten stops • BOS in regime direction = Trend continuation ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔔 ALERTS • Regime → BULL • Regime → BEAR • CHOCH → Bull • CHOCH → Bear ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙️ SETTINGS Preset: Auto-Detect, Crypto, Stocks, Forex, Gold, Silver, Oil, Commodities, Custom Custom Settings (when Custom selected): • EMA Fast/Slow lengths • ADX Length & Threshold • ADX Filter toggle • Pivot Left/Right Display: • Plot Weekly EMAs • Show BOS/CHOCH Labels • Show Regime Background • Background Opacity • Show Status Label ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📝 NOTES • Needs ~200 weeks of history for full calculation • Weekly signals are slower by design — filters noise • Not a standalone system — combine with entries and risk management • When using presets, Custom input fields won't visually update (Pine limitation) — status label shows actual values
Pine Script®指标
由gokcenbuy提供
Multi-Data Chart-AnalyticsDynamic Sentiment & Contextual Trend Analysis Function Description The Multi-Data Chart-Analytics is a comprehensive market context indicator designed to convert complex technical data into a readable, real-time narrative. Unlike traditional visual-only indicators, this script acts as an on-chart "trading assistant" that evaluates price action, momentum, volatility, and institutional volume simultaneously. Key Technical Features: Adaptive Trend Engine: Automatically scales its lookback period based on available historical data (up to 200 periods). This ensures accurate analysis for "young" assets or high timeframes (like BTC on Monthly charts) where standard fixed-length EMAs fail. Momentum & Feel Tracking: Integrates RSI and DMI (ADX) to determine if the market is overextended (expensive) or undervalued (cheap), and whether the trend has sufficient strength. Volatility Squeeze Detection: Monitors Bollinger Band width to alert users to "coiling" phases, signaling imminent breakouts. Institutional Volume Filter: Compares current volume against its 20-period moving average to identify "Smart Money" conviction. Who is this for? Discretionary Traders: Who want a quick "second opinion" or sanity check before entering a trade. Beginners: Who find it difficult to read multiple indicators at once; the terminal translates lines into actionable insights. Systematic Traders: Who need to maintain awareness of higher-timeframe context without cluttering their main chart window. How to Use It Look at the Environment: Start by checking the long-term trend status to ensure you aren't trading against the dominant market force. Verify Momentum: Check "Market Feel" to avoid buying at exhaustion points (Overbought) or selling at bottoms (Oversold). Prepare for Breakouts: Keep an eye on the "Volatility" section. If it indicates a "Squeeze," tighten your stops or prepare for a large move. Confirm with Smart Money: Only trust significant moves if the terminal confirms "Institutional Activity" is present. Customize: Use the settings menu to adjust the box width, colors, and font size to fit your personal chart layout. Technical Breakdown (Short Form) Trend: Adaptive EMA/SMA (max 200). Momentum: RSI (14) + ADX (14). Volatility: Bollinger Band Width (20). Volume: SMA (20) based Volume multiplier. You might want to use this script in combination with our "Range Indicator Golden Pocket" and "Multi Asset & Multi Timeframe Trend Dashoboard" and the "Risk & Reward Position Planner"
Pine Script®指标
由realmacgyver77提供
1
Commodity Channel Index// BUY CONDITION buySignal = direction < 0 and ta.crossover(cci, -100) // ENTRY PRICE entryPrice = close // STOP LOSS AT SUPERTREND stopLoss = supertrend // RISK CALCULATION risk = entryPrice - stopLoss // TARGET 1:2 target = entryPrice + (risk * 2) // ALERT alertcondition(buySignal, title="BUY", message="Supertrend Green + CCI Cross Above -100 | RR 1:2") // OPTIONAL PLOTS plotshape(buySignal, title="BUY Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY") plot(stopLoss, title="Stop Loss", color=color.red) plot(target, title="Target 1:2", color=color.green)
Pine Script®指标
由mandhanerajat提供
EEQI [Environment Quality Index] PyraTime The Problem: Why Good Strategies Fail The number one reason traders lose capital is not a lack of strategy—it is forced execution in poor environments. Most indicators (RSI, MACD, Stochastic) are continuously active, generating signals even when the market is dead, choppy, or chaotic. A breakout strategy that prints money in a trend will destroy your account in a consolidation range. A mean-reversion system that works in chop will fail during a parabolic expansion. The Solution: PyraTime EEQI The Execution Environment Quality Index (EEQI) is a "Gatekeeper" layer for your trading. It does not tell you what to buy or sell; it tells you if you should be trading at all. By aggregating Volatility, Price Structure, and Efficiency into a single composite score, the EEQI answers the most critical question in discretionary trading: "Is the market efficient enough to deploy capital right now?" How It Works: The 3 Core Engines The EEQI calculates a raw "Environment Score" (from -2 to +4) by analyzing three distinct dimensions of price action. 1. Volatility Engine (Usability) The Logic: Measures the "Alive-ness" of the market using ATR Percentiles. The Filter: It detects "Dead Zones" (where price is too flat to hit targets) and "Chaos Zones" (where volatility is too dangerous). Smart Feature (Parabolic Override): If price moves significantly (>2x ATR) in a single candle, the engine recognizes this as "High Momentum" rather than chaos, unlocking Green signals during breakouts. 2. Structure Engine (Bar Quality) The Logic: Analyzes the relationship between candle bodies, wicks, and overlap. The Filter: It penalizes "Barbed Wire" price action—candles with long wicks and high overlap—which indicate indecision and algo-chop. The Goal: We want to trade during "Clean Flow," where candle bodies are large and overlap is low. 3. Efficiency Engine (Directional Flow) The Logic: Compares Net Displacement (start-to-finish distance) vs. Total Distance Traveled. The Filter: Identifies "Whipsaw" conditions where price moves a lot but goes nowhere. Smart Feature (Velocity Lock): If price travels a massive distance quickly, the efficiency requirement is relaxed to catch explosive moves that might otherwise look "messy." The "Smart Gatekeepers" Even if the Core Engines look good, the EEQI applies three final safety checks before granting a PRIME status. Regime Persistence (Stability Check): The market must hold a high score for a set number of bars (default: 1) before the signal turns Green. This prevents "fake-outs" where a single anomaly candle tricks you into entering a bad trend. Volume Validation (Liquidity Check): Price movement without participation is a trap. The EEQI checks Relative Volume (RVOL). If volume is below average (e.g., lunch hour, holidays, or late-night sessions), the score is capped at "Fair" or "Low Vol," preventing execution in thin liquidity. Macro Context (HTF Filter): You cannot trade against the higher timeframe. The EEQI checks the trend and volatility of the Higher Timeframe (default: Weekly). If the macro view is compressed or dead, the local signal is vetoed. How to Read the HUD The Dashboard (Bottom Right) gives you an instant read on the market state. 🟢 PRIME (+4): Execution Optimal. The market is trending, efficient, and backed by volume. This is the "Green Light" for your strategy. 🔵 FAIR (+1 to +3): Tradeable. Conditions are decent, but one factor (e.g., volume or structure) is imperfect. Exercise caution. ⚪ NEUTRAL (0): Indecision. The market is transitioning. Stand aside. 🟡 BUILDING: Wait. The market is good, but hasn't proven itself yet (Persistence Check). 🟠 POOR / LOW VOL: Chop. Price is messy or lacking participation. 🔴 AVOID (-2): Danger Zone. The market is either dead flat or violently chaotic. Do not trade. Settings & Customization The indicator comes with calibrated presets for different asset classes: Crypto: Tolerates higher volatility and requires stronger efficiency confirmation. Forex: Stricter dead-zone filters to handle ranging sessions. Indices: Balanced settings for standard equity hours. Disclaimer This tool is designed for environment analysis only. It does not provide buy or sell signals, entry prices, or stop-losses. It is intended to be used as a filter to improve the performance of your own discretionary strategies.
Pine Script®指标
由PyraTime提供
AI Oversold Swing - Screener//@version=5 indicator("AI Oversold Swing - Screener", overlay=false) // ───────────────────────── // USER INPUTS // ───────────────────────── maxPrice = input.float(75.0, "Max Price ($)") rsiLen = input.int(14, "RSI Length") rsiOversold = input.float(35.0, "RSI Oversold Level") bbLen = input.int(20, "BB Length") bbMult = input.float(2.0, "BB StdDev") supportLen = input.int(20, "Support Lookback (days)") nearSupportPct = input.float(1.5, "Near Support %") undercutPct = input.float(0.5, "Allowed Undercut %") atrLen = input.int(14, "ATR Length") maxATRfromSup = input.float(1.0, "Max ATR From Support") minDollarVol = input.float(75000000.0, "Min Dollar Volume", step=1000000) requireTrigger = input.bool(false, "Require Reversal Trigger") // ───────────────────────── // DAILY DATA (screener uses indicator outputs) // ───────────────────────── dClose = request.security(syminfo.tickerid, "D", close) dLow = request.security(syminfo.tickerid, "D", low) dVol = request.security(syminfo.tickerid, "D", volume) dPrevC = request.security(syminfo.tickerid, "D", close ) // ───────────────────────── // INDICATORS // ───────────────────────── rsi = ta.rsi(dClose, rsiLen) basis = ta.sma(dClose, bbLen) dev = bbMult * ta.stdev(dClose, bbLen) bbLow = basis - dev atr = request.security(syminfo.tickerid, "D", ta.atr(atrLen)) support = ta.lowest(dLow, supportLen) distPct = support > 0 ? (dClose - support) / support * 100.0 : na distATR = atr > 0 ? (dClose - support) / atr : na dollarVol = dClose * dVol // ───────────────────────── // CONDITIONS // ───────────────────────── priceOK = dClose > 0 and dClose <= maxPrice liqOK = dollarVol >= minDollarVol oversold = (rsi <= rsiOversold) and (dClose <= bbLow) nearSup = support > 0 and dClose <= support * (1 + nearSupportPct / 100.0) and dClose >= support * (1 - undercutPct / 100.0) and distATR <= maxATRfromSup setup = priceOK and liqOK and oversold and nearSup // Optional reversal confirmation rsiReversal = ta.crossover(rsi, rsiOversold) greenCandle = dClose > dPrevC trigger = rsiReversal or greenCandle signal = requireTrigger ? (setup and trigger) : setup // ───────────────────────── // SCREENER OUTPUTS // ───────────────────────── plot(signal ? 1 : 0, title="Signal (1 = YES)") plot(rsi, title="RSI (Daily)") plot(distPct, title="Dist to Support % (Daily)") plot(distATR, title="Dist to Support ATR (Daily)") plot(dollarVol, title="Dollar Volume (Daily)")
Pine Script®指标
由reconranger227提供
ACHT EMA Cross Pullback Strategy with HTF Filter, RSI SignalsADVANCED INDICATOR FOR TRADING USING EMA CROSS PULLBACK STRATEGY ✨ MAIN FEATURES: • 📈 Signals on pullback after EMA9/EMA20 crossover • 🔍 Multi-level signal filtering • 🕒 Multi-timeframe analysis (HTF filter) • 🛡️ Trend indicator protection • 📊 Compact information panel 🎯 MAIN SIGNALS: 1️⃣ EMA CROSS + PULLBACK • EMA9 crosses EMA20 up/down • Price pullback to EMA9 after crossover • EMA200 filter (bullish/bearish trend) 2️⃣ RSI SIGNALS IN HTF ZONES • RSI crossing its SMA • Works only in HTF zones • "First signal only" option in zone 🛡️ INDICATOR FILTERS: • ✅ SuperTrend - main trend identification • ✅ MACD - additional trend confirmation • ✅ RSI - overbought/oversold filter • ✅ HTF filter - higher timeframe analysis ⚙️ CUSTOMIZATION OPTIONS: • Adjustable periods for all indicators • Enable/disable each filter • RSI level settings • HTF filter timeframe selection • Signal visualization options 📱 INFORMATION PANEL: • Compact table with key metrics • Status of all filters and indicators • Visual HTF zone indicators • Emoji for quick perception 🚨 ALERT SYSTEM: • Alerts on main signals • Alerts on HTF zone entry • Alerts on RSI signals • Customizable trigger conditions 📈 USAGE RECOMMENDATIONS: 1. Wait for EMA9 and EMA20 crossover 2. Look for price pullback to EMA9 3. Check all filter compliance 4. Ensure HTF zone presence 5. Use RSI signals as supplement ⚠️ RISKS AND LIMITATIONS: • Indicator doesn't guarantee profit • Always use stop-losses • Test strategy on demo account • Adapt parameters to your trading style
Pine Script®指标
由acht1880提供
Luminous Volatility Flux [Pineify]``` Luminous Volatility Flux - Dynamic ATR Bands with Hull Moving Average Baseline The Luminous Volatility Flux indicator is a sophisticated trend-following and volatility analysis tool that combines the responsiveness of the Hull Moving Average (HMA) with adaptive ATR-based bands that expand and contract based on real-time market volatility conditions. This indicator helps traders identify trend direction, volatility regimes, and potential breakout opportunities with high-probability entry signals. Key Features Hull Moving Average baseline for low-lag trend detection Dynamic volatility bands that breathe with market conditions Flux Factor system comparing short-term vs long-term ATR Volatility-filtered breakout signals to reduce false entries Gradient-filled zones for intuitive visual analysis Real-time bar coloring based on trend direction How It Works The indicator operates on three core calculation layers: 1. Hull Moving Average Baseline The foundation of this indicator is the Hull Moving Average, calculated using the formula: WMA(2*WMA(n/2) - WMA(n), sqrt(n)). Unlike traditional moving averages, the HMA dramatically reduces lag while maintaining smoothness. This makes it ideal for identifying trend changes earlier than conventional EMAs or SMAs. When the HMA is rising, the baseline turns green indicating bullish momentum; when falling, it turns red for bearish conditions. 2. Volatility Flux Factor The unique aspect of this indicator is the Flux Factor calculation. It compares short-term ATR (default 14 periods) against long-term ATR (default 100 periods) to determine the current volatility regime: Flux Factor > 1.0 = Volatility Expansion (market is more volatile than usual) Flux Factor < 1.0 = Volatility Compression (market is in a squeeze) This ratio creates a dynamic multiplier that causes the bands to expand during high volatility periods and contract during consolidation phases. 3. Dynamic Band Calculation The upper and lower bands are calculated as: Baseline ± (Short ATR × Multiplier × Flux Factor). This means the bands automatically widen when volatility increases and tighten during quiet market conditions, providing context-aware support and resistance levels. Trading Ideas and Insights Trend Following: Trade in the direction of the baseline color. Green baseline suggests looking for long opportunities; red baseline suggests short opportunities. Volatility Breakouts: The indicator plots "Flux" signals when price breaks above the upper band (bullish) or below the lower band (bearish) during volatility expansion phases. These signals indicate potential momentum continuation. Mean Reversion: During compression phases (tight bands), prices often revert to the baseline. Consider taking profits near the bands and re-entering near the baseline. Squeeze Detection: When bands are unusually tight (Flux Factor < 1), the market is coiling for a potential explosive move. Prepare for breakout trades. How Multiple Indicators Work Together This indicator integrates three distinct technical analysis concepts into a cohesive system: The Hull Moving Average provides the trend direction foundation with minimal lag. The dual ATR comparison (short vs long) creates the Flux Factor that measures relative volatility. The dynamic bands combine both elements, using the HMA as the center and ATR-based deviations that scale with the Flux Factor. The synergy works as follows: The HMA identifies the trend, the Flux Factor determines market regime (expansion vs compression), and the bands provide dynamic support/resistance levels. Breakout signals only trigger when all components align - price breaks the band AND volatility is expanding. This multi-layered approach filters out many false signals that would occur with static bands or simple moving average crossovers. Unique Aspects Unlike Bollinger Bands that use standard deviation, this indicator uses ATR ratio-based dynamic bands that better capture directional volatility The Flux Factor concept is original - comparing two ATR timeframes to create a volatility regime indicator Breakout signals are filtered by volatility expansion, reducing false signals during choppy, low-volatility conditions Gradient fills provide instant visual feedback on the strength of the bullish or bearish zones How to Use Add the indicator to your chart. It works on all timeframes and instruments. Observe the baseline color for overall trend direction (green = bullish, red = bearish). Watch for band expansion/contraction to gauge volatility regime. Look for "Flux" signals for potential breakout entries - these appear only during volatility expansion. Use the gradient zones to identify potential support (lower green zone) and resistance (upper red zone) areas. Customization Baseline Length (default: 24) - Controls the HMA period. Lower values = more responsive but noisier; higher values = smoother but more lag. ATR Length (default: 14) - Short-term ATR period for band calculation. Standard setting works well for most markets. Flux Multiplier (default: 2.0) - Controls band width. Increase for wider bands (fewer signals), decrease for tighter bands (more signals). Flux Sensitivity (default: 100) - Long-term ATR period for Flux Factor calculation. Higher values create a more stable volatility reference. Conclusion The Luminous Volatility Flux indicator offers traders a comprehensive view of market conditions by combining trend detection, volatility analysis, and signal generation into one elegant tool. Its adaptive nature makes it suitable for various market conditions - from trending markets where it identifies direction and momentum, to ranging markets where it highlights compression and potential breakout zones. The volatility-filtered signals help traders focus on high-probability setups while the visual gradient fills make chart analysis intuitive and efficient. Note: This indicator is designed as a technical analysis tool. Always use proper risk management and consider multiple factors before making trading decisions. Past performance does not guarantee future results. ```
Pine Script®指标
由Pineify提供
SPY Options Targets -IV Expected MoveWhat this indicator is? This tool turns option implied volatility into two things: 1) Expected move levels on the SPY chart for a chosen time horizon 2) Estimated option premium targets if SPY reaches those levels It is built to answer three trading questions: 1) How far can SPY reasonably move in my holding window 2) What SPY levels should I use for profit targets or invalidation 3) If SPY hits those levels, what option price is a realistic target What the bands mean on the SPY chart The bands are expected move levels on the underlying, recalculated each bar from the selected option’s implied volatility. One sigma band The teal band is the expected one standard deviation move over the next Horizon minutes. In practice, this is a normal move zone for that holding window. Two sigma band The orange band is the expected two standard deviation move over the next Horizon minutes. In practice, this is a large move zone for that holding window. How to interpret value If price is near the middle of the bands, the market is behaving normally for that window. If price approaches the one sigma band, the move is extended for that window. If price approaches the two sigma band, the move is unusually large for that window and you should expect either strong continuation or sharp mean reversion depending on market context. What the table means and how to use it IV Implied volatility solved from the selected option price. Higher IV widens the bands and increases option targets. DTE Days to expiry of the selected option. Near expiry options can change faster and IV can shift quickly. H move 1 sigma The projected one sigma SPY move in dollars for the selected Horizon minutes. This is the key number for planning. Opt at plus 1 sigma and minus 1 sigma If SPY reaches the one sigma upper band or the one sigma lower band, the indicator estimates what your selected option should be worth at that moment, assuming implied volatility does not change. Opt at plus 2 sigma and minus 2 sigma Same idea for the two sigma bands. Now opt px Current option price for reference. ................................................................................................................. How to trade using it? Step 1 Pick the right option input Choose the same expiry you plan to trade and pick a liquid contract, ideally at the money or near the money. This makes the IV reading more representative of the current tape. Step 2 Set the horizon to your holding time If you typically hold 15 to 30 minutes, set Horizon minutes to 15 or 30. If you typically hold 60 to 120 minutes, set it accordingly. This matters because the bands represent expected move for that exact window. Step 3 Use the bands to define trade planning For a long bias Entry is your setup. The bands are used for targets and risk. Target 1 is the one sigma upper band. Target 2 is the two sigma upper band if momentum supports continuation. Invalidation can be defined as losing the mid zone and failing to reclaim, or a clear level based stop. The indicator does not choose your stop. It gives your realistic upside distance. For a short bias Target 1 is the one sigma lower band. Target 2 is the two sigma lower band if momentum supports continuation. Invalidation can be defined similarly using your structure. Step 4 Use the option targets as profit taking levels Once you enter an option trade, ignore random premium swings and anchor to the table. Common approach Take partial profit when the option approaches the plus or minus one sigma target value. Hold a smaller runner for the plus or minus two sigma target value. If SPY hits the one sigma band but the option is far below the table target, it usually means implied volatility is dropping. Reduce expectations or exit earlier. If SPY hits the one sigma band and the option is above the table target, it usually means implied volatility expanded. Consider taking profits sooner because this extra premium can mean revert. Step 5 Use it to choose strikes Before entering, check whether your desired option profit requires SPY to travel to the two sigma band within your horizon. If yes, that is a lower probability trade for that window. If your plan is achievable around the one sigma band, it is typically more realistic. .................................................................................................................. Practical examples Scalp example Horizon 30 minutes. If H move 1 sigma is about 1 dollar, then expecting a 3 dollar SPY move in 30 minutes is a two to three sigma expectation and should be treated as a low probability scalp unless a news event is active. Intraday example Horizon 120 minutes. If H move 1 sigma is about 2 dollars, a 2 dollar move is a reasonable target and a 4 dollar move is the stretch target. Important limitations Implied volatility changes The option target prices assume IV stays constant. In real markets IV can change during the move, especially on 0DTE, around news, or during sharp selloffs. Treat option targets as a baseline estimate. Not a standalone signal This indicator does not generate buy or sell signals. Combine it with your entry model, structure, or momentum confirmation. Liquidity matters Very wide bid ask spreads can distort the inferred IV. Use liquid contracts. Suggested defaults for SPY Use a liquid near the money option for the current expiry. Horizon 30 for scalps, 60 for intraday, 120 for swings. Keep expiry time at 16:00 New York. Disclaimer This script is for educational and informational purposes only and is not financial advice. Options involve risk and may not be suitable for all traders.
Pine Script®指标
由NeuralMarkets提供
Session Range Boxes(MTF)📦 Indicator Name Session Range Boxes (MTF) Multi-Timeframe Directional Session Range Visualization 📘 Description Session Range Boxes (MTF) is a multi-timeframe market structure tool that visually highlights price range behavior across different time sessions using clean, directional range boxes. Each box represents the High–Low range of a completed or live session, automatically colored based on directional bias: 🟢 Bullish → Session Close > Session Open 🔴 Bearish → Session Close < Session Open ⚪ Neutral → Session Close = Session Open This allows traders to instantly identify trend strength, balance zones, volatility expansion, and key support/resistance areas across multiple timeframes — all on a single chart. 🔍 What This Indicator Shows For every enabled timeframe, the indicator: Draws a range box from session open to session close Continuously updates live session High & Low Locks the final color once the session completes Keeps historical boxes for structure and context Supported timeframes: Quarterly Half-Yearly Yearly Monthly Weekly Daily Hourly 30-Minute 15-Minute 5-Minute ⚙️ Default Behavior By default, the indicator enables: Weekly Daily Hourly This default setup is intentionally chosen to suit most traders and provides: Higher-timeframe structure (Weekly) Swing context (Daily) Intraday execution levels (Hourly) 🧠 How to Use It Effectively 📈 Higher-Timeframe Analysis (Swing / Positional Trading) Recommended combinations: Weekly + Daily Monthly + Weekly Use cases: Identify dominant market bias Spot compression vs expansion Define higher-timeframe support & resistance zones ⚡ Intraday Trading (Day Trading) Recommended combinations: Daily + Hourly Hourly + 30-Minute Use cases: Track intraday range development Identify directional day types Trade breakouts, rejections, or mean-reversion within session ranges 🚀 Scalping & Precision Entries Recommended combinations: Hourly + 15-Minute 30-Minute + 5-Minute Use cases: Fine-tune entries within larger session ranges Align lower-timeframe trades with higher-timeframe bias Spot micro range expansion and contraction 🎨 Customization Options Bullish / Bearish / Neutral colors Box fill transparency Border transparency & color Maximum historical boxes per timeframe This allows you to keep charts clean, lightweight, and performance-friendly. 💡 Best Practices Avoid enabling too many timeframes at once — clarity beats clutter Use higher-timeframe boxes for bias, lower-timeframe boxes for entries Combine with: Market structure Volume VWAP Liquidity concepts Price action confirmation Session Range Boxes (MTF) is a clean, powerful visual tool designed to help traders: Understand session-based price behavior Align trades across timeframes Improve structure awareness without clutter Whether you are a scalper, day trader, or swing trader, this indicator adapts seamlessly to your workflow.
Pine Script®指标
由jochacko11提供
Mobius Trend Pivot (NPR21 v6)Mobius Trend Pivot (NPR21 v6) Overview This indicator identifies trend pivots using higher highs with higher lows (bullish trends) and lower lows with lower highs (bearish trends). Originally created by Mobius (V01.01.29.2019) for ThinkOrSwim, this Pine Script conversion maintains the original logic while fixing critical rendering issues found in previous TradingView versions. How It Works The indicator tracks price trends over a user-defined lookback period (default n=5) to establish pivot points. When a valid trend pivot forms, the indicator plots: Red zone (bearish): Upper pivot line with confirmation level below Green zone (bullish): Lower pivot line with confirmation level above White dashed lines: Risk-off levels for position management Confirmation levels are calculated as a multiple (R_Mult, default 0.7) of the Average True Range at the pivot. Trading Rules (from Mobius original code) Entry: Trade when price crosses and closes outside the pivot confirmation line Risk Management: Use the pivot line itself as your risk point - exit if crossed (avoid hard stops) Risk-Off: Target an ATR multiple for initial profit taking to achieve a risk-free trade Stop Management: Move mental stop to break-even once risk-off is achieved Runner Management: Adjust mental stop to new support/resistance levels as they form What Makes This Version Different NPR21 v6 fixes critical bugs present in other TradingView versions: ✅ Consistent transparency - The red/green cloud fills maintain constant 85% transparency and no longer progressively darken over time ✅ No overlapping renders - Eliminated the issue where multiple indicator instances would layer on top of each other, creating visual clutter ✅ Proper memory management - Implements linefill deletion/recreation logic to prevent object accumulation ✅ Clean visual display - Matches the original ThinkOrSwim appearance with professional-looking zones Key Features Automatic pivot detection based on price structure Dynamic support/resistance zones Built-in risk management levels Alert capability for pivot confirmation crossovers Minimal lag - responds quickly to trend changes Works on all timeframes and instruments Settings n (default 5): How many bars to look back for trend confirmation R_Mult (default 0.7): Adjusts how far the confirmation lines sit from pivots Lower n = more sensitive, more signals Higher n = less sensitive, fewer signals Color Scheme Red lines/zones: Bearish pivots and short trade setups Green lines/zones: Bullish pivots and long trade setups White dashed lines: Risk-off target levels Best Practices Use 2+ contracts to implement the risk-off strategy Combine with price action and volume for confirmation Adjust n and R_Mult based on instrument volatility Works best on liquid futures and forex pairs Consider using higher timeframes for swing trades Credits Original indicator concept and logic: Mobius (ThinkOrSwim, January 2019) Pine Script conversion and optimization: NPR21 Note: This indicator is for educational purposes. Past performance does not guarantee future results. Always practice proper risk management and position sizing.
Pine Script®指标
由NPR21提供