Cyber Monday高達80%折扣

指標和策略

SPY EMA + VWAP Day Trading Strategy (Market Hours Only)//@version=5 indicator("SPY EMA + VWAP Day Trading Strategy (Market Hours Only)", overlay=true) // === Market Hours Filter (EST / New York Time) === nySession = input.session("0930-1600", "Market Session (NY Time)") inSession = time(timeframe.period, "America/New_York") >= time(nySession, "America/New_York") // EMAs ema9 = ta.ema(close, 9) ema21 = ta.ema(close, 21) // VWAP vwap = ta.vwap(close) // Plot EMAs & VWAP plot(ema9, "EMA 9", color=color.green, linewidth=2) plot(ema21, "EMA 21", color=color.orange, linewidth=2) plot(vwap, "VWAP", color=color.blue, linewidth=2) // ----------- Signals ----------- long_raw = close > ema9 and ema9 > ema21 and close > vwap and ta.crossover(ema9, ema21) short_raw = close < ema9 and ema9 < ema21 and close < vwap and ta.crossunder(ema9, ema21) // Apply Market Hours Filter long_signal = long_raw and inSession short_signal = short_raw and inSession // Plot Signals plotshape(long_signal, title="BUY", style=shape.labelup, location=location.belowbar, color=color.green, size=size.small, text="BUY") plotshape(short_signal, title="SELL", style=shape.labeldown, location=location.abovebar, color=color.red, size=size.small, text="SELL") // Alerts alertcondition(long_signal, title="BUY Alert", message="BUY Signal (Market Hours Only)") alertcondition(short_signal, title="SELL Alert", message="SELL Signal (Market Hours Only)")
Pine Script®指標
由hungryPiex3L提供
NQUSB Sector Industry Stocks Strength A Comprehensive Multi-Industry Performance Comparison Tool The complete Pine Script code and supporting Python automation scripts are available on GitHub: GitHub Repository: github.com Original idea from by www.tradingview.com ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ═══ WHAT'S NEW ═══ 4-Level Hierarchical Navigation: Primary: All 11 NQUSB sectors (NQUSB10, NQUSB15, NQUSB20, etc.) Secondary (Default): Broad sectors like Technology, Energy Tertiary: Industry groups within sectors Quaternary: Individual stocks within industries (37 semiconductors) Enhanced Stock Coverage: 1,176 total stocks across 129 industries 37 semiconductor stocks Market-cap weighted selection: 60% tech / 35% others Range: 1-37 stocks per industry ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ═══ CORE FEATURES ═══ 1. Drill-Down/Drill-Up Navigation View NVDA at different granularity levels: Quaternary: ● NVDA ranks #3 of 37 semiconductors Tertiary: ✓ Semiconductors at 85% (strongest in tech hardware) Secondary: ✓ Tech Hardware at 82% (stronger than software) Primary: ✓ Technology at 78% (#1 sector overall) Insight: One indicator, one stock, four perspectives - instantly see if strength is stock-specific, industry-specific, or sector-wide. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2. Visual Current Stock Identification Violet Markers - Instant Recognition: ● (dot) marker when current stock is in top N performers ✕ (cross) marker when current stock is below top N Violet color (#9C27B0) on both symbol and value labels Example: "NVDA ● ranks #3 of 37" ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3. Rank Display in Title Dynamic title shows performance context: "Semiconductors (RS Rating - 3 Months) | NVDA ranks #3 of 37" #1 = Best performer, higher number = lower rank Total adjusts if current stock auto-added ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 4. Auto-Add Current Stock Always Included: Current stock automatically added if not in predefined list Example: Viewing PRSO → "PRSO ranks #37 of 39 ✕" Works for any stock - from NVDA to obscure small-caps Violet markers ensure visibility even when ranked low ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ═══ DUAL PERFORMANCE METRICS ═══ RS Rating (Relative Strength): Normalized strength score 1-99 Compare stocks across different price ranges Default benchmark: SPX % Return: Simple percentage price change Direct performance comparison 11 Time Periods: 1 Week, 2 Weeks, 1 Month, 2 Months, 3 Months (Default) , 6 Months, 1 Year, YTD, MTD, QTD, Custom (1-500 days) Result: 22 analytical combinations (2 metrics × 11 periods) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ═══ USE CASES ═══ Sector Rotation Analysis: Is NVDA's strength semiconductors-specific or tech-wide? Drill through all 4 levels to find answer Identify which industry groups are leading/lagging Finding Hidden Gems: JPM ranks #3 of 13 in Major Banks But Financials sector weak overall (68%) = Relative strength play in weak sector Cross-Industry Comparison: 129 industries covered Market-wide scan capability Find strongest performers across all sectors ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ═══ TECHNICAL SPECIFICATIONS ═══ V32 Stats: Total Industries: 129 Total Stocks: 1,176 File Size: 82,032 bytes (80.1 KB) Request Limit: 39 max (Semiconductors), 10-16 typical Granularity Levels: 4 (Primary → Quaternary) Smart Stock Allocation: Technology industries: 60% coverage Other industries: 35% coverage Market-cap weighted selection Formula: MIN(39, MAX(5, CEILING(total × percentage))) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ═══ KEY ADVANTAGES ═══ vs. Single Industry Tools: ✓ 129 industries vs 1 ✓ Market-wide perspective ✓ Hierarchical navigation ✓ Sector rotation detection vs. Manual Comparison: ✓ No ETF research needed ✓ Instant visual markers ✓ Automatic ranking ✓ One-click drill-down ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ For complete documentation, Python automation scripts, and CSV data files: github.com Version: V32 Last Updated: 2025-11-30 Pine Script Version: v5
Pine Script®指標
由ama0000提供
ICT Fair Value Gap (FVG) Detector │ Auto-Mitigated │ 2025Accurate ICT / Smart Money Concepts Fair Value Gap (FVG) detector Features: • Detects both Bullish (-FVG) and Bearish (+FVG) using strict 3-candle rule • Boxes automatically extend right until price mitigates them • Boxes auto-delete when price closes inside the gap (true mitigation) • No repainting – 100% reliable • Clean, lightweight, and works on all markets & timeframes • Fully customizable colors and transparency How to use: – Bullish FVG (green) = potential support / buy zone in uptrend – Bearish FVG (red) = potential resistance / sell zone in downtrend Exactly matches The Inner Circle Trader (ICT) methodology used by thousands of SMC traders in 2024–2025. Enjoy and trade safe!
Pine Script®指標
由keerthanamurugesan提供
Relative Volume EMA (RVOL)Relative Volume EMA (RVOL) measures the current bar’s volume relative to its typical volume over a selected lookback period. It helps traders identify whether a price move is supported by real participation or if it’s occurring on weak, low-quality volume. This version uses: RVOL = Current Volume ÷ Volume EMA Volume EMA Length: adjustable Signal Threshold: a customizable horizontal line (default = 1.2) How to Use 1. RVOL > 1.2 → High-Quality Momentum A value above 1.2 indicates that the current bar has at least 20% more volume than normal, suggesting: Strong conviction Algorithmic activity Momentum-backed breakout or breakdown Higher probability trend continuation These bars are ideal for confirming entries after a technical setup (e.g., pullback, engulfing pattern, Ichimoku trend confirmation, etc.). 2. RVOL < 1.0 → Weak or Low-Quality Move When RVOL is below 1.0: Volume is below average Moves are more likely to fail or reverse Breakouts are unreliable Triggers lack institutional participation These bars are best avoided for trade entries. Why This Indicator Is Useful In many strategies, price alone is not enough. RVOL acts as a filter to ensure that your signals occur during times when the market is actually active and committed. Typical use cases: Confirm trend-following entries Validate pullbacks and breakout candles Filter out low-volume chop Identify session-based volume surges Improve risk-to-reward quality by entering only during true momentum Recommended Settings EMA Length: 20 Threshold Line: 1.2 Works well on Forex, Crypto, and Indices Best used on 15m, 30m, 1H, and 4H charts
Pine Script®指標
由FXLoungeIN提供
Sector Rotation - Risk Preference Indicator# Sector Rotation - Risk Preference Indicator ## Overview This indicator measures market risk appetite by comparing the relative strength between **Aggressive** and **Defensive** sectors. It provides a clean, single-line visualization to help traders identify market sentiment shifts and potential trend reversals. ## How It Works The indicator calculates a **Bullish/Bearish Ratio** by dividing the average price of aggressive sector ETFs by defensive sector ETFs, then normalizing to a baseline of 100. **Formula:** - Ratio = (Aggressive Sectors Average / Defensive Sectors Average) × 100 **Interpretation:** - **Ratio > 100**: Risk-on sentiment (Aggressive sectors outperforming Defensive) - **Ratio < 100**: Risk-off sentiment (Defensive sectors outperforming Aggressive) - **Ratio ≈ 100**: Neutral (Both sector groups performing equally) ## Default Sectors **Defensive Sectors** (Safe havens during uncertainty): - XLP - Consumer Staples Select Sector SPDR Fund - XLU - Utilities Select Sector SPDR Fund - XLV - Health Care Select Sector SPDR Fund **Aggressive Sectors** (Growth-oriented, higher risk): - XLK - Technology Select Sector SPDR Fund - XBI - SPDR S&P Biotech ETF - XRT - SPDR S&P Retail ETF ## Features ✅ **Fully Customizable Sectors** - Choose any ETFs/tickers for each sector group ✅ **Smoothing Control** - Adjustable SMA period to reduce noise (default: 2) ✅ **Clean Visualization** - Single blue line for easy interpretation ✅ **Multi-timeframe Support** - Works on any timeframe ✅ **Lightweight** - Minimal calculations for fast performance ## Settings ### Defensive Sectors Group - **Defensive Sector 1**: First defensive ETF ticker (default: XLP) - **Defensive Sector 2**: Second defensive ETF ticker (default: XLU) - **Defensive Sector 3**: Third defensive ETF ticker (default: XLV) ### Aggressive Sectors Group - **Aggressive Sector 1**: First aggressive ETF ticker (default: XLK) - **Aggressive Sector 2**: Second aggressive ETF ticker (default: XBI) - **Aggressive Sector 3**: Third aggressive ETF ticker (default: XRT) ### Display Settings - **Smoothing Length**: SMA period for ratio smoothing (default: 2, range: 1-50) - Lower values = More responsive but noisier - Higher values = Smoother but more lagging ## Use Cases ### 1. Market Regime Identification - **Rising Ratio (trending up)** → Bull market / Risk-on environment - Aggressive sectors leading, investors chasing growth - Favorable for long positions in tech, growth stocks - **Falling Ratio (trending down)** → Bear market / Risk-off environment - Defensive sectors leading, investors seeking safety - Consider defensive positioning or short opportunities ### 2. Divergence Analysis - **Bullish Divergence**: Price makes new lows but ratio rises - Suggests underlying strength returning - Potential market bottom forming - **Bearish Divergence**: Price makes new highs but ratio falls - Suggests weakening momentum - Potential market top forming ### 3. Trend Confirmation - **Strong uptrend + Rising ratio** → Confirmed bullish trend - **Strong downtrend + Falling ratio** → Confirmed bearish trend - **Uptrend + Falling ratio** → Weakening trend, watch for reversal - **Downtrend + Rising ratio** → Potential trend exhaustion ## Best Practices ⚠️ **Timeframe Selection** - Recommended: Daily, 4H, 1H for cleaner signals - Lower timeframes (15m, 5m) may produce noisy signals ⚠️ **Complementary Analysis** - Use alongside price action and volume analysis - Combine with support/resistance levels - Not designed as a standalone trading system ⚠️ **Market Conditions** - Most effective in trending markets - Less reliable during ranging/consolidation periods - Works best in liquid, well-traded sectors ⚠️ **Customization Tips** - Can substitute with international sectors (EWU, EWZ, etc.) - Can use crypto sectors (DeFi vs Layer1, etc.) - Adjust smoothing based on trading style (day trading = 2-5, swing = 10-20) ## Display Options ### Default View (overlay=false) - Shows in separate pane below chart - Dedicated scale for ratio values ### Alternative View - Can be moved to main chart pane (drag indicator) I typically overlay this indicator on the SPY daily chart to observe divergences. I don’t focus on specific values but rather on the direction of the trend. The author is not responsible for any trading losses incurred using this indicator. ## Support & Feedback For questions, feature requests, or bug reports: - Comment below - Send a private message - Check for updates regularly If you find this indicator useful, please: - ⭐ Leave a like/favorite - 💬 Share your experience in comments - 📊 Share charts showing interesting patterns
Pine Script®指標
由gary186提供
NQ-VIX Expected Move LevelsNQ -VIX Daily Price Bands This indicator plots dynamic intraday price bands for NQ futures based on real-time volatility levels measured by the VIX (CBOE Volatility Index). The bands evolve throughout the trading day, providing volatility-adjusted price targets. Formulas: Upper Band = Daily Open + (NQ Price × VIX ÷ √252 ÷ 100) Lower Band = Daily Open - (NQ Price × VIX ÷ √252 ÷ 100) The calculation uses the square root of 252 (trading days per year) to convert annualized VIX volatility into an expected daily move, then scales it as a percentage adjustment from the current day's open. Features: Real-time band calculation that updates throughout the trading session Upper band (green) extends from the current day's open Lower band (red) contracts from the current day's open Inner upper band (green) at 50% of expected move Inner lower band (red) at 50% of expected move Middle Inner upper band (green) at 80% of expected move Middle Inner lower band (red) at 80% of expected move Information table displaying: Current NQ price and VIX level Daily Open Expected move
Pine Script®指標
由alanjeremiebarbe提供
MTF Trading Helper & Multi AlertsHi dear fellows, I´m using this indicator for my trading, so every then and when I will publish updates on this one. This indicator should help to identify the right trading setup. I´m using it to trade index futures and stocks. MTF Trading Helper & Multi Alerts Overview This indicator provides a clear visual representation of trend direction across three timeframes. It helps traders identify trend alignment, potential reversals, and optimal entry/exit points by analyzing the relationship between different smoothed timeframes. You can set up multiple alerts (as one alert in Tradingview) How It Works The indicator displays three colored circles representing the smoothed candle direction on three different timeframes: Bottom plot represents the overall trend direction, the plot in the middle shows intermediate momentum, and the one on top captures short-term price action. When a color change occurs, the circle appears in a darker shade to highlight the transition. 🟢 Green = Bullish - 🔴 Red = Bearish This change can also trigger multiple alerts. Timeframe Settings - important Choose between two trading setups, either for: Intraday 1-minute candles or 1h for swing trading. Set up your chart accordingly to that timeframe. Intraday | 1Min chart candles Swing | 1 hour chart candles Plots TF3 represents the overall trend direction (bottom), TF2 shows intermediate momentum (middle), and TF1 captures short-term price action (top). Interpretation & Strategy Alerts 1. Trend Bullish (TF3 turns Green) The higher timeframe has shifted bullish - a potential new uptrend is forming. Example: You're watching ES-mini on the Intraday setting. TF3 turns green after being red for several days. This signals the broader trend may be shifting bullish - consider looking for long opportunities. 2. Trend Bearish (TF3 turns Red) The higher timeframe has shifted bearish - consider protecting profits or exiting long positions. Example: You hold a long position in Es-mini. TF3 turns red, indicating the macro trend is weakening. This is your signal to take profits or tighten stop-losses. 3. Possible Accumulation (TF3 Red + TF2 turns Green) While the overall trend is still bearish, the medium timeframe shows buying pressure. Smart money may be accumulating - watch closely for a potential trend reversal. Example: Es-mini has been in a downtrend (TF3 red). Suddenly TF2 turns green while TF3 remains red. This could indicate institutional buying before a reversal. Don't buy yet, but add it to your watchlist and wait for confirmation. 4. Trend Continuation (TF3 Green + TF2 turns Green) The medium timeframe realigns with the bullish macro trend - a potential buying opportunity as momentum returns to the uptrend. Example: Es-mini is in an uptrend (TF3 green). After a pullback, TF2 was red but now turns green again. The pullback appears to be over - this is a trend continuation signal and a potential entry point. 5. Buy the Dip (TF3 + TF2 Green + TF1 turns Green) All timeframes are now aligned bullish. The short-term pullback is complete and price is resuming the uptrend - optimal entry for short-term trades. Example: Es-mini is trending up (TF3 + TF2 green). A small dip caused TF1 to turn red briefly. When TF1 turns green again, all three timeframes are aligned - this is your "Buy the Dip" signal with strong confirmation. 6. Sell the Dip (TF3 + TF2 Green + TF1 turns Red) Short-term weakness within an uptrend. This can be used to take partial profits, wait for a better entry, or trail stops tighter. Example: You're long on ES-mini with TF3 and TF2 green. TF1 turns red, indicating short-term selling pressure. Consider taking partial profits here and wait for TF1 to turn green again (Buy the Dip) to add back to your position. How to Use Choose your scenario: Select "Intraday" 1min-chart for day trading or "Swing" 1h-chart for swingtrading Enable alerts: Turn on the strategy alerts you want to receive in the settings Wait for signals: Let the indicator notify you when conditions align Confirm with price action: Always use additional confirmation before entering trades Best Practices ✅ Use TF3 as your trend filter - only take longs when TF3 turns green and hold them :) ✅ Use TF2 for timing - wait for TF2 to align with TF3 for swings. ✅ Use TF2 for early entries (accumulation phase) when TF3 is still red. Watch out! ✅ Use TF1 for entries when TF3 and TF2 are green. Only buy if TF1 is red. Keep it short and sweet. ✅ Combine with support/resistance levels for better entries ✅ Use proper risk management - no indicator is 100% accurate Disclaimer This indicator is for educational purposes only. Past performance does not guarantee future results. Always do your own research and use proper risk management. Never risk more than you can afford to lose.
Pine Script®指標
由xriswart提供
ES-VIX Expected Move LTF LevelsES-VIX LTF Price Bands This indicator plots dynamic intraday price bands for ES futures based on real-time volatility levels measured by the VIX (CBOE Volatility Index). The bands evolve throughout the trading day, providing volatility-adjusted price targets. Formulas: Upper Band = (Input TF Open) + (ES Price × VIX x √(Input TF ÷ (23h in min) ) ÷ 100 Lower Band = Daily Open - (ES Price × VIX x √(Input TF ÷ (23h in min) ) ÷ 100 The calculation uses the square root of Input TF ÷ (23h in min) to convert annualized VIX volatility into an expected TF move, then scales it as a percentage adjustment from the current TF input's open. Features: Real-time band calculation that updates throughout the trading session Upper band (green) extends from the current TF's open Lower band (red) contracts from the current TF's open Inner upper band (green) at 50% of expected move Inner lower band (red) at 50% of expected move Middle Inner upper band (green) at 80% of expected move Middle Inner lower band (red) at 80% of expected move Information table displaying: Current input TF Current ES price and VIX level Current input TF Open Expected move
Pine Script®指標
由alanjeremiebarbe提供
NQ-VIX Expected Move LTF LevelsNQ -VIX LTF Price Bands This indicator plots dynamic intraday price bands for NQ futures based on real-time volatility levels measured by the VIX (CBOE Volatility Index). The bands evolve throughout the trading day, providing volatility-adjusted price targets. Formulas: Upper Band = (Input TF Open) + (NQ Price × VIX x √(Input TF ÷ (23h in min) ) ÷ 100 Lower Band = Daily Open - (NQ Price × VIX x √(Input TF ÷ (23h in min) ) ÷ 100 The calculation uses the square root of Input TF ÷ (23h in min) to convert annualized VIX volatility into an expected TF move, then scales it as a percentage adjustment from the current TF input's open. Features: Real-time band calculation that updates throughout the trading session Upper band (green) extends from the current TF's open Lower band (red) contracts from the current TF's open Inner upper band (green) at 50% of expected move Inner lower band (red) at 50% of expected move Middle Inner upper band (green) at 80% of expected move Middle Inner lower band (red) at 80% of expected move Information table displaying: Current input TF Current NQ price and VIX level Current input TF Open Expected move
Pine Script®指標
由alanjeremiebarbe提供
Fast Autocorrelation Estimator█ Overview: The Fast ACF and PACF Estimation indicator efficiently calculates the autocorrelation function (ACF) and partial autocorrelation function (PACF) using an online implementation. It helps traders identify patterns and relationships in financial time series data, enabling them to optimize their trading strategies and make better-informed decisions in the markets. █ Concepts: Autocorrelation, also known as serial correlation, is the correlation of a signal with a delayed copy of itself as a function of delay. This indicator displays autocorrelation based on lag number. The autocorrelation is not displayed based over time on the x-axis. It's based on the lag number which ranges from 1 to 30. The calculations can be done with "Log Returns", "Absolute Log Returns" or "Original Source" (the price of the asset displayed on the chart). When calculating autocorrelation, the resulting value will range from +1 to -1, in line with the traditional correlation statistic. An autocorrelation of +1 represents a perfect correlation (an increase seen in one time series leads to a proportionate increase in the other time series). An autocorrelation of -1, on the other hand, represents a perfect inverse correlation (an increase seen in one time series results in a proportionate decrease in the other time series). Lag number indicates which historical data point is autocorrelated. For example, if lag 3 shows significant autocorrelation, it means current data is influenced by the data three bars ago. The Fast Online Estimation of ACF and PACF Indicator is a powerful tool for analyzing the linear relationship between a time series and its lagged values in TradingView. The indicator implements an online estimation of the Autocorrelation Function (ACF) and the Partial Autocorrelation Function (PACF) up to 30 lags, providing a real-time assessment of the underlying dependencies in your time series data. The Autocorrelation Function (ACF) measures the linear relationship between a time series and its lagged values, capturing both direct and indirect dependencies. The Partial Autocorrelation Function (PACF) isolates the direct dependency between the time series and a specific lag while removing the effect of any indirect dependencies. This distinction is crucial in understanding the underlying relationships in time series data and making more informed decisions based on those relationships. For example, let's consider a time series with three variables: A, B, and C. Suppose that A has a direct relationship with B, B has a direct relationship with C, but A and C do not have a direct relationship. The ACF between A and C will capture the indirect relationship between them through B, while the PACF will show no significant relationship between A and C, as it accounts for the indirect dependency through B. Meaning that when ACF is significant at for lag 5, the dependency detected could be caused by an observation that came in between, and PACF accounts for that. This indicator leverages the Fast Moments algorithm to efficiently calculate autocorrelations, making it ideal for analyzing large datasets or real-time data streams. By using the Fast Moments algorithm, the indicator can quickly update ACF and PACF values as new data points arrive, reducing the computational load and ensuring timely analysis. The PACF is derived from the ACF using the Durbin-Levinson algorithm, which helps in isolating the direct dependency between a time series and its lagged values, excluding the influence of other intermediate lags. █ How to Use the Indicator: Interpreting autocorrelation values can provide valuable insights into the market behavior and potential trading strategies. When applying autocorrelation to log returns, and a specific lag shows a high positive autocorrelation, it suggests that the time series tends to move in the same direction over that lag period. In this case, a trader might consider using a momentum-based strategy to capitalize on the continuation of the current trend. On the other hand, if a specific lag shows a high negative autocorrelation, it indicates that the time series tends to reverse its direction over that lag period. In this situation, a trader might consider using a mean-reversion strategy to take advantage of the expected reversal in the market. ACF of log returns: Absolute returns are often used to as a measure of volatility. There is usually significant positive autocorrelation in absolute returns. We will often see an exponential decay of autocorrelation in volatility. This means that current volatility is dependent on historical volatility and the effect slowly dies off as the lag increases. This effect shows the property of "volatility clustering". Which means large changes tend to be followed by large changes, of either sign, and small changes tend to be followed by small changes. ACF of absolute log returns: Autocorrelation in price is always significantly positive and has an exponential decay. This predictably positive and relatively large value makes the autocorrelation of price (not returns) generally less useful. ACF of price: █ Significance: The significance of a correlation metric tells us whether we should pay attention to it. In this script, we use 95% confidence interval bands that adjust to the size of the sample. If the observed correlation at a specific lag falls within the confidence interval, we consider it not significant and the data to be random or IID (identically and independently distributed). This means that we can't confidently say that the correlation reflects a real relationship, rather than just random chance. However, if the correlation is outside of the confidence interval, we can state with 95% confidence that there is an association between the lagged values. In other words, the correlation is likely to reflect a meaningful relationship between the variables, rather than a coincidence. A significant difference in either ACF or PACF can provide insights into the underlying structure of the time series data and suggest potential strategies for traders. By understanding these complex patterns, traders can better tailor their strategies to capitalize on the observed dependencies in the data, which can lead to improved decision-making in the financial markets. Significant ACF but not significant PACF: This might indicate the presence of a moving average (MA) component in the time series. A moving average component is a pattern where the current value of the time series is influenced by a weighted average of past values. In this case, the ACF would show significant correlations over several lags, while the PACF would show significance only at the first few lags and then quickly decay. Significant PACF but not significant ACF: This might indicate the presence of an autoregressive (AR) component in the time series. An autoregressive component is a pattern where the current value of the time series is influenced by a linear combination of past values at specific lags. Often we find both significant ACF and PACF, in that scenario simply and AR or MA model might not be sufficient and a more complex model such as ARMA or ARIMA can be used. █ Features: Source selection: User can choose either 'Log Returns' , 'Absolute Returns' or 'Original Source' for the input data. Autocorrelation Selection: User can choose either 'ACF' or 'PACF' for the plot selection. Plot Selection: User can choose either 'Autocorrelarrogram' or 'Historical Autocorrelation' for plotting the historical autocorrelation at a specified lag. Max Lag: User can select the maximum number of lags to plot. Precision: User can set the number of decimal points to display in the plot.
Pine Script®指標
由Motgench提供
️Omega RatioThe Omega Ratio is a risk-return performance measure of an investment asset, portfolio, or strategy. It is defined as the probability-weighted ratio, of gains versus losses for some threshold return target. The ratio is an alternative for the widely used Sharpe ratio and is based on information the Sharpe ratio discards. █ OVERVIEW As we have mentioned many times, stock market returns are usually not normally distributed. Therefore the models that assume a normal distribution of returns may provide us with misleading information. The Omega Ratio improves upon the common normality assumption among other risk-return ratios by taking into account the distribution as a whole. █ CONCEPTS Two distributions with the same mean and variance, would according to the most commonly used Sharpe Ratio suggest that the underlying assets of the distribution offer the same risk-return ratio. But as we have mentioned in our Moments indicator, variance and standard deviation are not a sufficient measure of risk in the stock market since other shape features of a distribution like skewness and excess kurtosis come into play. Omega Ratio tackles this problem by employing all four Moments of the distribution and therefore taking into account the differences in the shape features of the distributions. Another important feature of the Omega Ratio is that it does not require any estimation but is rather calculated directly from the observed data. This gives it an advantage over standard statistical estimators that require estimation of parameters and are therefore sampling uncertainty in its calculations. █ WAYS TO USE THIS INDICATOR Omega calculates a probability-adjusted ratio of gains to losses, relative to the Minimum Acceptable Return (MAR). This means that at a given MAR using the simple rule of preferring more to less, an asset with a higher value of Omega is preferable to one with a lower value. The indicator displays the values of Omega at increasing levels of MARs and creating the so-called Omega Curve. Knowing this one can compare Omega Curves of different assets and decide which is preferable given the MAR of your strategy. The indicator plots two Omega Curves. One for the on chart symbol and another for the off chart symbol that u can use for comparison. When comparing curves of different assets make sure their trading days are the same in order to ensure the same period for the Omega calculations. Value interpretation: Omega<1 will indicate that the risk outweighs the reward and therefore there are more excess negative returns than positive. Omega>1 will indicate that the reward outweighs the risk and that there are more excess positive returns than negative. Omega=1 will indicate that the minimum acceptable return equals the mean return of an asset. And that the probability of gain is equal to the probability of loss. █ FEATURES • "Low-Risk security" lets you select the security that you want to use as a benchmark for Omega calculations. • "Omega Period" is the size of the sample that is used for the calculations. • “Increments” is the number of Minimal Acceptable Return levels the calculation is carried on. • “Other Symbol” lets you select the source of the second curve. • “Color Settings” you can set the color for each curve.
Pine Script®指標
由Motgench提供
MFM – Light Context HUD (Minimal)Overview MFM Light Context HUD is the free version of the Market Framework Model. It gives you a fast and clean view of the current market regime and phase without signals or chart noise. The HUD shows whether the asset is in a bullish or bearish environment and whether it is in a volatile, compression, drift, or neutral phase. This helps you read structure at a glance. Asset availability The free version works only on a selected list of five assets. Supported symbols are SP:SPX TVC:GOLD BINANCE:BTCUSD BINANCE:ETHUSDT OANDA:EURUSD All other assets show a context banner only. How it works The free version uses fixed settings based on the original MFM model. It calculates the regime using a higher timeframe RSI ratio and identifies the current phase using simplified momentum conditions. The chart stays clean. Only a small HUD appears in the top corner. Full visual phases, ratio logic, signals, and auto tune are part of the paid version. The free version shows the phase name only. It does not display colored phase zones on the chart. Phase meaning The Market Framework Model uses four structural phases to describe how the market behaves. These are not signals but context layers that show the underlying environment. Volatile (Phase 1) The market is in a fast, unstable or directional environment. Price can move aggressively with stronger momentum swings. Compression (Phase 2) The market is in a contracting state. Momentum slows and volatility decreases. This phase often appears before expansion, but it does not predict direction. Drift (Phase 3) The market moves in a more controlled, persistent manner. Trends are cleaner and volatility is lower compared to volatile phases. No phase No clear structural condition is active. These phases describe market structure, not trade entries. They help you understand the conditions you are trading in. Cross asset context The Market Framework Model reads markets as a multi layer system. The full version includes cross asset analysis to show whether the asset is acting as a leader or lagger relative to its benchmark. The free version uses the same internal benchmark logic for regime detection but does not display the cross asset layer on the chart. Cross asset structure is a core part of the MFM model and is fully available in the paid version. Included in this free version Higher timeframe regime Current phase name Clean chart output Context only Works on a selected set of assets Not included No forecast signals No ratio leader or lagger logic No MRM zones No MPF timing No auto tune The full version contains all features of the complete MFM model. Full version You can find the full indicator here: payhip.com More information Model details and documentation: mfm.inratios.com Momentum Framework Model free HUD indicator User Guide: mfm.inratios.com Disclaimer The Market Framework Model (MFM) and all related materials are provided for educational and informational purposes only. Nothing in this publication, the indicator, or any associated charts should be interpreted as financial advice, investment recommendations, or trading signals. All examples, visualizations, and backtests are illustrative and based on historical data. They do not guarantee or imply any future performance. Financial markets involve risk, including the potential loss of capital, and users remain fully responsible for their own decisions. The author and Inratios© make no representations or warranties regarding the accuracy, completeness, or reliability of the information provided. MFM describes structural market context only and should not be used as the sole basis for trading or investment actions. By using the MFM indicator or any related insights, you agree to these terms. © 2025 Inratios. Market Framework Model (MFM) is protected via i-Depot (BOIP) – Ref. 155670. No financial advice.
Pine Script®指標
由Inratios提供
Mark Minervini SEPA - Balanced 📊 MARK MINERVINI SEPA BALANCED - COMPLETE USER GUIDE 🚀 WHAT IS THIS INDICATOR? This is a professional swing trading indicator based on Mark Minervini's famous Trend Template strategy. It automatically identifies high-probability setups where: ✅ Long-term trend is BULLISH (confirmed by moving averages) ✅ Stock is OUTPERFORMING the market (relative strength improving) ✅ Price is CONSOLIDATING (forming a base for breakout) ✅ Volume is CONFIRMING (volume spike on breakout) Result: CLEAR BUY SIGNALS when everything aligns! 🎯 🎨 WHAT YOU SEE ON YOUR CHART 1️⃣ FOUR MOVING AVERAGE LINES: 🟠 Orange Line (MA 20) = Short-term trend 🔵 Blue Line (MA 50) = Intermediate trend 🟢 Green Line (MA 150) = Long-term trend 🔴 Red Line (MA 200) = Very long-term trend IDEAL: All lines stacked in order (Orange > Blue > Green > Red) 2️⃣ BACKGROUND COLOR: 🟢 GREEN background = Trend template is VALID (bullish setup ready) 🔴 RED background = Trend template is BROKEN (avoid trading) 3️⃣ DASHBOARD PANEL (Top-Right): Real-time checklist showing: ✓ 6 core trend template rules ✓ Relative strength status ✓ VCP base quality ✓ Stage classification (S1/S2/S3/S4) ✓ Volume breakout status 4️⃣ VCP BASE BOXES (Blue Rectangles): Shows where consolidation is happening This is your potential entry zone 5️⃣ BUY SIGNAL LABEL (Green Text Below Candle): Green "BUY" label appears when ALL criteria are met This is your strongest entry signal 6️⃣ STOP LOSS LINE (Red Dashed Line): Shows your stop loss level (base low) 📖 HOW TO USE - STEP BY STEP STEP 1: ADD INDICATOR TO CHART ──────────────────────────────── 1. Open TradingView chart 2. Click "Indicators" (top toolbar) 3. Search "Minervini SEPA Balanced" 4. Click to add to your chart 5. Use DAILY (1D) timeframe for swing trading STEP 2: CHECK THE DASHBOARD (Top-Right Panel) 1. Look at all the checkmarks 2. Count how many are GREEN (✓) 3. Check Stage column - is it showing S2 or S1? STEP 3: LOOK FOR SETUP PATTERNS ───────────────────────────────── Ideal setup shows: ✓ Dashboard: 10+ criteria are GREEN ✓ Stage: S2 (green) or S1 (orange) ✓ Blue VCP box visible on chart (base forming) ✓ Moving averages aligned (50 > 150 > 200) ✓ Price above all moving averages ✓ Background is GREEN STEP 4: WAIT FOR ENTRY SIGNAL ────────────────────────────── Option A: BUY SIGNAL label appears → Green "BUY" label = ALL criteria met → ENTER at market price immediately Option B: Setup looks good but no BUY label yet → Wait for price to break above blue VCP box → Volume should spike (1.3x or higher) → Then enter at breakout STEP 5: PLACE YOUR TRADE ──────────────────────── 📍 ENTRY: At breakout from VCP base 📍 STOP LOSS: Base low (red dashed line) 📍 TARGET: 20-30% move (typical Minervini target) 📍 HOLDING TIME: 2-4 weeks 🎯 BALANCED VERSION - WHY IT'S BETTER FOR INDIAN STOCKS Volume Multiplier: 1.3x (NOT 1.5x) → Original was too strict for Indian market → 1.3x is realistic and catches good breakouts → Results: 5-10 signals per stock per year (tradeable!) Trend Template: Core 6 rules (NOT all 8) → Focuses on the most important rules → Still maintains quality, but more flexible → Works better with Indian stock behavior Stage Allowed: S1 OR S2 (NOT just S2) → Catches earlier moves → Allows you to enter sooner → But maintains quality with other criteria 📊 DASHBOARD INDICATORS - WHAT EACH MEANS TREND SECTION (Core 6 Rules): ───────────────────────────── P>200 ✓ = Price above 200-day MA (long-term uptrend) 150>200 ✓ = MA150 above MA200 (MA alignment) 200↑ ✓ = MA200 trending up (uptrend accelerating) 50>150 ✓ = MA50 above MA150 (intermediate uptrend) 50>200 ✓ = MA50 above MA200 (overall alignment) P>50 ✓ = Price above MA50 (pullback level intact) RS STRENGTH SECTION: ─────────────────── RS↑ ✓ = Stock outperforming NIFTY index ✗ = Stock underperforming NIFTY (avoid) VCP BASE SECTION: ──────────────── In Base ✓ = Consolidation zone detected ✗ = No consolidation yet Vol Dry ✓ = Volume drying up (base tightening) ✗ = Normal volume (consolidation weak) ENTRY SECTION: ────────────── Stage S2 = GREEN (best for swing trading) S1 = ORANGE (acceptable, early entry) S3 = RED (avoid - distribution phase) S4 = RED (avoid - downtrend) Vol Brk ✓ = Volume confirmed breakout (1.3x+ average) ✗ = Weak volume (breakout likely to fail) ❌ WHEN NOT TO TRADE SKIP if ANY of these are true: ❌ Background is RED (trend template broken) ❌ Stage is S3 or S4 (distribution or downtrend) ❌ Vol Brk is RED (volume not confirming) ❌ RS↑ is ORANGE/RED (stock underperforming market) ❌ Blue box is NOT visible (no base forming) ❌ Base is very loose/messy (not tight enough) ❌ Moving averages are not aligned ❌ Less than 8 GREEN criteria on dashboard ⚙️ CUSTOMIZATION GUIDE Click ⚙️ gear icon next to indicator name to adjust settings: VOLUME MULTIPLIER (Default: 1.3) ──────────────────────────────── Current: 1.3x = BALANCED for Indian stocks ✅ Change to 1.2x = MORE signals (more false breakouts) Change to 1.4x = FEWER signals (very selective) Change to 1.5x = ORIGINAL (too strict, rarely triggers) RS BENCHMARK (Default: NSE:NIFTY) ───────────────────────────────── Current: NSE:NIFTY = Large-cap stocks Change to NSE:NIFTY500 = Mid-cap stocks Change to NSE:NIFTYNXT50 = Small-cap stocks MINIMUM BASE DAYS (Default: 20) ─────────────────────────────── Current: 20 days = 4 weeks consolidation ✅ Change to 15 = Shorter bases (more frequent signals) Change to 25 = Longer bases (higher quality) ATR% FOR TIGHTNESS (Default: 1.5) ────────────────────────────────── Current: 1.5% = BALANCED ✅ Change to 1.0% = ONLY very tight bases Change to 2.0% = Loose bases accepted 📈 REAL TRADING EXAMPLE SCENARIO: Trading RELIANCE over 4 weeks WEEK 1: Base Starts Forming ──────────────────────────── - Price consolidating around ₹1,500 - Dashboard: 5/14 criteria green - Action: MONITOR (not ready yet) WEEK 2: Base Tightens ───────────────────── - Price still ₹1,500 (no movement) - VCP box appearing on chart - Dashboard: 8/14 criteria green - Vol Dry: ✓ (volume shrinking - good!) - Action: MONITOR (almost ready) WEEK 3: Perfect Setup Formed ────────────────────────────── - Base still ₹1,500 - Dashboard: 12/14 criteria GREEN ✓✓✓ - Stage: S2 ✓ - Blue box tight and clean - Action: WAIT FOR BREAKOUT WEEK 4: Breakout Happens! ────────────────────────── - Price closes at ₹1,550 (breakout!) - Volume: 1.6x average (exceeds 1.3x requirement) - Dashboard: BUY SIGNAL ✓ (all criteria met) - Action: ENTER TRADE Entry: ₹1,550 Stop: ₹1,480 (base low) Target: ₹1,850 (20% move) RESULT: +19.4% profit in 2 weeks! ✅ 💡 PRO TIPS FOR BEST RESULTS 1. USE DAILY (1D) CHARTS ONLY Weekly charts = Fewer signals, slower moves Daily charts = Best for swing trading ✅ Intraday charts = Too many false signals 2. SCAN MULTIPLE STOCKS Don't just watch 1 stock Scan 50-100 stocks daily More stocks = More opportunities 3. WAIT FOR PERFECT ALIGNMENT Don't enter on 8/14 criteria Wait for 12+/14 criteria This increases win rate significantly 4. VOLUME IS CRITICAL Always check Vol Brk column No volume = Likely to fail 1.3x+ volume = Good breakout 5. COMBINE WITH YOUR OWN ANALYSIS Indicator gives technical signals You add your own fundamental view Strong fundamental + technical = Best trade 6. BACKTEST ON HISTORICAL DATA Use TradingView Replay feature Go back 6-12 months See how many signals appeared Verify which were profitable 7. KEEP A TRADING JOURNAL Track entry, exit, profit/loss Note what worked and what didn't Continuous improvement! ⚠️ IMPORTANT DISCLAIMERS ✓ This indicator is for educational purposes only ✓ Past performance does not guarantee future results ✓ Always use proper risk management (position sizing, stop loss) ✓ Never risk more than 2% of your account on one trade ✓ Backtest thoroughly before using with real money ✓ The indicator provides technical signals, not investment advice ✓ Losses can occur - trade at your own risk 🎯 QUICK START CHECKLIST Before entering ANY trade, verify: □ Dashboard shows mostly GREEN (10+ criteria) □ Stage = S2 (green) or S1 (orange) □ Blue VCP box visible on chart □ Price just broke above the box □ Volume is high (1.3x+ average, Vol Brk = ✓) □ Moving averages aligned (50 > 150 > 200) □ RS is uptrending (RS↑ = ✓) □ BUY SIGNAL label appeared (optional but strong confirmation) ALL CHECKED? → READY TO BUY! 🚀 📞 FOR HELP & SUPPORT Questions about the indicator? → Check the dashboard - each criterion has a specific meaning → Review this guide - answers most common questions → Backtest on historical data using TradingView Replay → Start with paper trading (no real money) first 🎓 LEARNING RESOURCES To understand Mark Minervini's method better: → Read: "Trade Like a Stock Market Wizard" by Mark Minervini → Watch: TradingView educational videos on trend templates → Practice: Backtest this indicator on 6-12 months of historical data → Learn: Study successful traders who use similar strategies GOOD LUCK WITH YOUR TRADING! 🚀📈 May your trends be bullish and your breakouts be explosive! 🎯
Pine Script®指標
由thakurkrishankant提供
Bitcoin Power Law Deviation Z-ScoreIntroduction While standard price charts show Bitcoin's exponential growth, it can be difficult to gauge exactly how "overheated" or "cheap" the asset is relative to its historical trend. This indicator strips away the price action to visualize pure Deviation. It compares the current price to the Bitcoin Power Law "Fair Value" model and plots the result as a normalized Z-Score. This creates a clean oscillator that makes it easy to identify historical cycle tops and bottoms without the noise of a log-scale chart. How to Read This Indicator The oscillator centers around a zero-line, which represents the mathematical "Fair Value" of the network. 0.0 (Center Line): Price is exactly at the Power Law fair value. Positive Values (+1 to +5): Price is trading at a premium. Historically, values above 4.0 have coincided with cycle peaks (Red Zones). Negative Values (-1 to -3): Price is trading at a discount. Historically, values below -1.0 have been excellent accumulation zones (Green/Blue Zones). The Math Behind the Model This script uses the same physics-based Power Law parameters as the popular overlay charts: Formula: Price = A * (days since genesis)^b Slope (b): 5.78 Amplitude (A): 1.45 x 10^-17 The "Z-Score" is calculated by taking the logarithmic difference between the actual price and the model price, divided by a standard scaling factor (0.18 log steps). How to Use Cycle Analysis: Use this tool to spot macro-extremes. Unlike RSI or MACD which reset frequently, this oscillator provides a multi-year view of market sentiment. Confluence: This tool works best when paired with the main "Power Law Rainbow" chart overlay to confirm whether price is hitting major resistance or support bands. Credits Based on the Power Law theory by Giovanni Santostasi and Corridor concepts by Harold Christopher Burger . Disclaimer This tool is for educational purposes only. Past performance of a model is not indicative of future results. Not financial advice.
Pine Script®指標
由dunk-devs提供
MA200 Deviation Percentile200-Day MA Deviation with Dynamic Thresholds OVERVIEW This indicator measures price deviation from the 200-day moving average as a percentage, with dynamically calculated overbought/oversold thresholds based on historical percentiles. Best suited for broad market indices (SPY, QQQ, IWM, etc.) where the 200-day MA serves as a reliable long-term trend indicator. Individual stocks may exhibit more erratic behavior around this level. CALCULATION Deviation (%) = (Close - 200MA) / 200MA x 100 Dynamic thresholds are derived from actual historical distribution rather than assuming normal distribution: - Overbought threshold = 97.5th percentile of historical deviations - Oversold threshold = 2.5th percentile of historical deviations SETTINGS MA Length (default: 200) Moving average period. Lookback Period (default: 1260) Historical window for threshold calculation. 1260 bars approximates 5 years of daily data. Threshold Percentile (default: 5%) Two-tailed threshold. 5% places overbought/oversold boundaries at the 97.5th and 2.5th percentiles respectively. INTERPRETATION Deviation Value - Positive: Price trading above 200MA - Negative: Price trading below 200MA - Magnitude indicates extent of deviation Percentile Ranking (0-100%) - Shows where current deviation ranks historically - Above 90%: Historically elevated - Below 10%: Historically depressed Dynamic Threshold Lines - Red line: Upper boundary based on historical distribution - Green line: Lower boundary based on historical distribution - These adapt automatically to each asset's volatility characteristics APPLICATION Mean Reversion Extreme deviations tend to normalize over time. When deviation exceeds dynamic thresholds, probability of mean reversion increases. Trend Assessment Sustained positive/negative deviation confirms trend direction. Zero-line crossovers may signal trend changes. NOTES - Optimized for daily timeframe on market indices - Requires sufficient historical data (minimum equal to lookback period) - Extreme readings do not guarantee immediate reversals - Use in conjunction with other analysis methods
Pine Script®指標
由Go3x3提供
DAILY - 3-Condition Arrows - Buy & SellVersion 1. On the DAILY time frame, this indicator will add a green BUY arrow to a stock price when the following 3 conditions are ALL true: BUY (all 3 conditions are true) 1. Stock price > 50 EMA 2. MACD line above moving average 3. Williams %R (Best_Solve version) is above moving average Conversely, a red SELL arrow will point out when the following 3 conditions are ALL true: SELL (all 3 conditions are true) 1. Stock price < 50 EMA 2. MACD line below moving average 3. Williams %R (Best_Solve version) is below the moving average
Pine Script®指標
由rodb_2025提供