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Multi SMA AnalyzerMulti SMA Analyzer with Custom SMA Table & Advanced Session Logic A feature-rich SMA analysis suite for traders, offering up to 7 configurable SMAs, in-depth trend detection, real-time table, and true session-aware calculations. Ideal for those who want to combine intraday, swing, and higher-timeframe trend analysis with maximum chart flexibility. Key Features 📊 Multi-SMA Overlay - 7 SMAs (default: 5, 20, 50, 100, 200, 21, 34)—individually configurable (period, source, color, line style) - Show/hide each SMA, custom line style (solid, stepline, circles), and color logic - Dynamic color: full opacity above SMA, reduced when below ⏰ Session-Aware SMAs - Each SMA can be calculated using only user-defined session hours/days/timezone - “Ignore extended hours” option for accurate intraday trend 📋 Smart Data Table - Live SMA values, % distance from price, and directional arrows (↑/↓/→) - Bull/Bear/Sideways trend classification - Custom table position, size, colors, transparency - Table can run on chart or custom (higher) timeframe for multi-TF analysis 🎯 Golden/Death Cross Detection - Flexible crossover engine: select any two from (5, 10, 20, 50, 100, 200) for fast/slow SMA cross signals - Plots icons (★ Golden, 💀 Death), optional crossover labels with custom size/colors 🏷️ SMA Labels - Optional on-chart SMA period labels - Custom placement (above/below/on line), size, color, offset 🚨 Signal & Trend Engine - Bull/Bear/Sideways logic: price vs. multiple SMAs (not just one pair) - Volume spike detection (2x 20-period SMA) - Bullish engulfing candlestick detection - All signals can use chart or custom table timeframe 🎨 Visual Customization - Dynamic background color (Bull: green, Bear: red, Neutral: gray) - Every visual aspect is customizable: label/table colors, transparency, size, position 🔔 Built-in Alerts - Crossovers (SMA20/50, Golden/Death) - Bull trend, volume spikes, engulfing pattern—all alert-ready How It Works - Session Filtering: - SMAs can be set to count only bars from your chosen market session, for true intraday/trading-hour signals Dynamic Table & Signals: - Table and all signal logic run on your selected chart or custom timeframe Flexible Crossover: - Choose any pair (5, 10, 20, 50, 100, 200) for cross detection—SMA 10 is available for crossover even if not shown as an SMA line Everything is modular: - Toggle features, set visuals, and alerts to your workflow 🚨 How to Use Alerts - All key signals (crossovers, trend shifts, volume spikes, engulfing patterns) are available as alert conditions. To enable: - Click the “Alerts” (clock) icon at the top of TradingView. - Select your desired signal (e.g., “Golden Cross”) from the condition dropdown. - Set your alert preferences and create the alert. - Now, you’ll get notified automatically whenever a signal occurs! Perfect For - Multi-timeframe and swing traders seeking higher timeframe SMA confirmation - Intraday traders who want to ignore pre/post-market data - Anyone wanting a modern, powerful, fully customizable multi-SMA overlay // P.S: Experiment with Golden Cross where Fast SMA is 5 and Slow SMA is 20. // Set custom timeframe for 4 hr while monitoring your chart on 15 min time frame. // Enable Background Color and Use Table Timeframe for Background. // Uncheck Pine labels in Style tab. Clean, open-source, and loaded with pro features—enjoy! Like, share, and let me know if you'd like any new features added.
Indicatore Pine Script®
di Fullymobile
Fibonacci Optimal Entry ZoneFibonacci Optimal Entry Zone - Professional Market Structure Trading Tool Overview This indicator combines market structure analysis with dynamic Fibonacci retracement levels to identify optimal entry zones in trending markets. Unlike standard Fibonacci tools, this indicator automatically detects swing points, tracks market structure changes (CHoCH - Change of Character), and adapts Fibonacci levels in real-time as new market structure develops. Key Innovation - Why This Combination Works This tool merges two powerful concepts: Smart Money Concepts (SMC) market structure detection Automated Fibonacci retracement analysis The synergy creates a systematic approach to finding high-probability reversal zones by waiting for structure breaks before drawing Fibonacci levels, ensuring you're always trading with the trend rather than against it. How It Works 1. Market Structure Detection Uses pivot high/low analysis to identify significant swing points Detects "Change of Character" (CHoCH) when price breaks previous structure Distinguishes between bullish (Higher Highs/Higher Lows) and bearish (Lower Highs/Lower Lows) market conditions 2. Dynamic Fibonacci Deployment Automatically draws Fibonacci retracements between the most recent significant swings Updates levels in real-time as new structure forms Includes extended levels (-2.0 to 1.618) for both retracement and extension analysis 3. Optimal Entry Zone Identification Highlights the "Golden Zone" (0.5-0.618 for bullish, 0.382-0.5 for bearish) Provides visual fills between key levels to identify confluence zones Shows exact price levels at each Fibonacci ratio Trading Methodology For Bullish Setups: Wait for a bullish CHoCH (break above previous high) Monitor price retracement to Fibonacci levels Look for entries in the 0.5-0.618 zone (Golden Zone) Use 0.786 as final support before trend invalidation For Bearish Setups: Wait for a bearish CHoCH (break below previous low) Monitor price retracement to Fibonacci levels Look for entries in the 0.382-0.5 zone Use 0.236 as final resistance before trend invalidation Unique Features Swing Tracker Mode: Continuously updates Fibonacci levels with each new swing Structure Period Optimization: Adjustable lookback period (default 10) to capture different market conditions Visual Clarity: Customizable colors, line styles, and label positions Fill Zones: Create visual zones between any two Fibonacci levels Extended Levels: Includes negative Fibonacci levels for advanced harmonic patterns Real-time Updates: Levels extend to current bar for immediate analysis Best Practices Timeframe Selection: Works best on H1 and above for swing trading, M15-H1 for intraday Confluence: Combine with support/resistance, moving averages, or volume analysis Risk Management: Use the 0.786 level (bullish) or 0.236 level (bearish) for stop-loss placement Trend Confirmation: Only take trades in the direction of the CHoCH signal Settings Guide Structure Period: Higher values (15-20) for major swings, lower values (5-10) for minor swings Swing Tracker: Enable for active markets, disable for cleaner historical analysis Fibonacci Levels: Customize which levels to display based on your trading style Golden Zone Fill: Highlights the optimal entry area for visual clarity This indicator is designed for traders who understand market structure and want an automated, systematic approach to Fibonacci-based entries. It removes the subjectivity of manual Fibonacci placement while ensuring you're always aligned with the current market structure. Chart Requirements: Use a clean chart with only this indicator Show at least one complete CHoCH signal with Fibonacci levels Demonstrate how the levels update with new swings Highlight the golden zone if enabled
Indicatore Pine Script®
di Jazzman34
Dynamic Gap Probability ToolDynamic Gap Probability Tool measures the percentage gap between price and a chosen moving average, then analyzes your chart history to estimate the likelihood of the next candle moving up or down. It dynamically adjusts its sample size to ensure statistical robustness while focusing on the exact deviation level. Originality and Value: • Combines gap-based analysis with dynamic sample aggregation to balance precision and reliability. • Automatically extends the sample when exact matches are scarce, avoiding misleading signals on rare extreme moves. • Provides real “next-candle” probabilities based on historical occurrences rather than fixed thresholds or untested heuristics. • Adds value by giving traders an evidence-based edge: you see how similar past deviations actually played out. How It Works: 1. Calculate gap = (close – moving average) / moving average * 100. 2. Round the absolute gap to nearest percent (X%). 3. Count historical bars where gap ≥ X% above or ≤ –X% below. 4. If exact X% count is below the minimum occurrences threshold, include gaps at X+1%, X+2%, etc., until threshold is reached. 5. Compute “next-candle” green vs. red probabilities from the aggregated sample. 6. Display current gap, sample size, green probability, and red probability in a table. Inputs: • Moving Average Type (SMA, EMA, WMA, VWMA, HMA, SMMA, TMA) • Moving Average Period (default 200) • Minimum Occurrences Threshold (default 50) • Table position and styling options Examples: • If price is 3% above the 200-period SMA and 120 occurrences ≥3% are found, with 84 green next candles (70%) and 36 red (30%), the script displays “3% | 120 | 70% green | 30% red.” • If price is 8% below the SMA but only 20 exact matches exist, the script will include 9% and 10% gaps until it reaches 50 samples, then calculate probabilities from that broader set. Why It’s Useful: • Mean-reversion traders see green-probability signals at extreme overbought or oversold levels. • Trend-followers identify continuation likelihood when red probability is high. • Risk managers gauge reliability by inspecting sample size before acting on any signal. Limitations: • Historical probabilities do not guarantee future performance. • Results depend on timeframe and symbol, backtest with your data before trading. • Use realistic slippage and commission when overlaying on strategy scripts.
Indicatore Pine Script®
di Julien_Eche
Fear and Greed Index [DunesIsland]The Fear and Greed Index is a sentiment indicator designed to measure the emotions driving the stock market, specifically investor fear and greed. Fear represents pessimism and caution, while greed reflects optimism and risk-taking. This indicator aggregates multiple market metrics to provide a comprehensive view of market sentiment, helping traders and investors gauge whether the market is overly fearful or excessively greedy.How It WorksThe Fear and Greed Index is calculated using four key market indicators, each capturing a different aspect of market sentiment: Market Momentum (30% weight) Measures how the S&P 500 (SPX) is performing relative to its 125-day simple moving average (SMA). A higher value indicates that the market is trading well above its moving average, signaling greed. Stock Price Strength (20% weight) Calculates the net number of stocks hitting 52-week highs minus those hitting 52-week lows on the NYSE. A greater number of net highs suggests strong market breadth and greed. Put/Call Options (30% weight) Uses the 5-day average of the put/call ratio. A lower ratio (more call options being bought) indicates greed, as investors are betting on rising prices. Market Volatility (20% weight) Utilizes the VIX index, which measures market volatility. Lower volatility is associated with greed, as investors are less fearful of large market swings. Each component is normalized using a z-score over a 252-day lookback period (approximately one trading year) and scaled to a range of 0 to 100. The final Fear and Greed Index is a weighted average of these four components, with the weights specified above.Key FeaturesIndex Range: The index value ranges from 0 to 100: 0–25: Extreme Fear (red) 25–50: Fear (orange) 50–75: Neutral (yellow) 75–100: Greed (green) Dynamic Plot Color: The plot line changes color based on the index value, visually indicating the current sentiment zone. Reference Lines: Horizontal lines are plotted at 0, 25, 50, 75, and 100 to represent the different sentiment levels: Extreme Fear, Fear, Neutral, Greed, and Extreme Greed. How to Interpret Low Values (0–25): Indicate extreme fear, which may suggest that the market is oversold and could be due for a rebound. High Values (75–100): Indicate greed, which may signal that the market is overbought and could be at risk of a correction. Neutral Range (25–75): Suggests a balanced market sentiment, neither overly fearful nor greedy. This indicator is a valuable tool for contrarian investors, as extreme readings often precede market reversals. However, it should be used in conjunction with other technical and fundamental analysis tools for a well-rounded view of the market.
Indicatore Pine Script®
di dunesisland
Holy GrailThis is a long-only educational strategy that simulates what happens if you keep adding to a position during pullbacks and only exit when the asset hits a new All-Time High (ATH). It is intended for learning purposes only — not for live trading. 🧠 How it works: The strategy identifies pullbacks using a simple moving average (MA). When price dips below the MA, it begins monitoring for the first green candle (close > open). That green candle signals a potential bottom, so it adds to the position. If price goes lower, it waits for the next green candle and adds again. The exit happens after ATH — it sells on each red candle (close < open) once a new ATH is reached. You can adjust: MA length (defines what’s considered a pullback) Initial buy % (how much to pre-fill before signals start) Buy % per signal (after pullback green candle) Exit % per red candle after ATH 📊 Intended assets & timeframes: This strategy is designed for broad market indices and long-term appreciating assets, such as: SPY, NASDAQ, DAX, FTSE Use it only on 1D or higher timeframes — it’s not meant for scalping or short-term trading. ⚠️ Important Limitations: Long-only: The script does not short. It assumes the asset will eventually recover to a new ATH. Not for all assets: It won't work on assets that may never recover (e.g., single stocks or speculative tokens). Slow capital deployment: Entries happen gradually and may take a long time to close. Not optimized for returns: Buy & hold can outperform this strategy. No slippage, fees, or funding costs included. This is not a performance strategy. It’s a teaching tool to show that: High win rate ≠ high profitability Patience can be deceiving Many signals = long capital lock-in 🎓 Why it exists: The purpose of this strategy is to demonstrate market psychology and risk overconfidence. Traders often chase strategies with high win rates without considering holding time, drawdowns, or opportunity cost. This script helps visualize that phenomenon.
Strategia Pine Script®
di Intetics
log.info() - 5 Exampleslog.info() is one of the most powerful tools in Pine Script that no one knows about. Whenever you code, you want to be able to debug, or find out why something isn’t working. The log.info() command will help you do that. Without it, creating more complex Pine Scripts becomes exponentially more difficult. The first thing to note is that log.info() only displays strings. So, if you have a variable that is not a string, you must turn it into a string in order for log.info() to work. The way you do that is with the str.tostring() command. And remember, it's all lower case! You can throw in any numeric value (float, int, timestamp) into str.string() and it should work. Next, in order to make your output intelligible, you may want to identify whatever value you are logging. For example, if an RSI value is 50, you don’t want a bunch of lines that just say “50”. You may want it to say “RSI = 50”. To do that, you’ll have to use the concatenation operator. For example, if you have a variable called “rsi”, and its value is 50, then you would use the “+” concatenation symbol. EXAMPLE 1 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ //@version=6 indicator("log.info()") rsi = ta.rsi(close,14) log.info(“RSI= ” + str.tostring(rsi)) Example Output =>  RSI= 50 Here, we use double quotes to create a string that contains the name of the variable, in this case “RSI = “, then we concatenate it with a stringified version of the variable, rsi. Now that you know how to write a log, where do you view them? There isn’t a lot of documentation on it, and the link is not conveniently located.  Open up the “Pine Editor” tab at the bottom of any chart view, and you’ll see a “3 dot” button at the top right of the pane. Click that, and right above the “Help” menu item you’ll see “Pine logs”. Clicking that will open  that to open a pane on the right of your browser - replacing whatever was in the right pane area before. This is where your log output will show up.  But, because you’re dealing with time series data, using the log.info() command without some type of condition will give you a fast moving stream of numbers that will be difficult to interpret. So, you may only want the output to show up once per bar, or only under specific conditions.  To have the output show up only after all computations have completed, you’ll need to use the barState.islast command. Remember, barState is camelCase, but islast is not! EXAMPLE 2 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ //@version=6 indicator("log.info()") rsi = ta.rsi(close,14) if barState.islast  log.info("RSI=" + str.tostring(rsi)) plot(rsi) However, this can be less than ideal, because you may want the value of the rsi variable on a particular bar, at a particular time, or under a specific chart condition. Let’s hit these one at a time. In each of these cases, the built-in bar_index variable will come in handy. When debugging, I typically like to assign a variable “bix” to represent bar_index, and include it in the output. So, if I want to see the rsi value when RSI crosses above 0.5, then I would have something like EXAMPLE 3 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ //@version=6 indicator("log.info()") rsi = ta.rsi(close,14) bix = bar_index rsiCrossedOver = ta.crossover(rsi,0.5) if rsiCrossedOver log.info("bix=" + str.tostring(bix) + " - RSI=" + str.tostring(rsi)) plot(rsi) Example Output =>  bix=19964 - RSI=51.8449459867 bix=19972 - RSI=50.0975830828 bix=19983 - RSI=53.3529808079 bix=19985 - RSI=53.1595745146 bix=19999 - RSI=66.6466337654 bix=20001 - RSI=52.2191767466 Here, we see that the output only appears when the condition is met. A useful thing to know is that if you want to limit the number of decimal places, then you would use the command str.tostring(rsi,”#.##”), which tells the interpreter that the format of the number should only be 2 decimal places. Or you could round the rsi variable with a command like rsi2 = math.round(rsi*100)/100 . In either case you’re output would look like: bix=19964 - RSI=51.84 bix=19972 - RSI=50.1 bix=19983 - RSI=53.35 bix=19985 - RSI=53.16 bix=19999 - RSI=66.65 bix=20001 - RSI=52.22 This would decrease the amount of memory that’s being used to display your variable’s values, which can become a limitation for the log.info() command. It only allows 4096 characters per line, so when you get to trying to output arrays (which is another cool feature), you’ll have to keep that in mind. Another thing to note is that log output is always preceded by a timestamp, but for the sake of brevity, I’m not including those in the output examples. If you wanted to only output a value after the chart was fully loaded, that’s when barState.islast command comes in. Under this condition, only one line of output is created per tick update — AFTER the chart has finished loading. For example, if you only want to see what the the current bar_index and rsi values are, without filling up your log window with everything that happens before, then you could use the following code: EXAMPLE 4 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ //@version=6 indicator("log.info()") rsi = ta.rsi(close,14) bix = bar_index if barstate.islast log.info("bix=" + str.tostring(bix) + " - RSI=" + str.tostring(rsi)) Example Output => bix=20203 - RSI=53.1103309071 This value would keep updating after every new bar tick. The log.info() command is a huge help in creating new scripts, however, it does have its limitations. As mentioned earlier, only 4096 characters are allowed per line. So, although you can use log.info() to output arrays, you have to be aware of how many characters that array will use. The following code DOES NOT WORK! And, the only way you can find out why will be the red exclamation point next to the name of the indicator. That, and nothing will show up on the chart, or in the logs. // CODE DOESN’T WORK //@version=6 indicator("MW - log.info()") var array rsi_arr = array.new() rsi = ta.rsi(close,14) bix = bar_index rsiCrossedOver = ta.crossover(rsi,50)  if rsiCrossedOver     array.push(rsi_arr, rsi) if barstate.islast     log.info("rsi_arr:" + str.tostring(rsi_arr))     log.info("bix=" + str.tostring(bix) + " - RSI=" + str.tostring(rsi)) plot(rsi) // No code errors, but will not compile because too much is being written to the logs. However, after putting some time restrictions in with the i_startTime and i_endTime user input variables, and creating a dateFilter variable to use in the conditions, I can limit the size of the final array. So, the following code does work. EXAMPLE 5 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ // CODE DOES WORK //@version=6 indicator("MW - log.info()") i_startTime         = input.time(title="Start", defval=timestamp("01 Jan 2025 13:30 +0000")) i_endTime           = input.time(title="End", defval=timestamp("1 Jan 2099 19:30 +0000")) var array rsi_arr = array.new() dateFilter = time >= i_startTime and time <= i_endTime  rsi = ta.rsi(close,14) bix = bar_index rsiCrossedOver = ta.crossover(rsi,50) and dateFilter // <== The dateFilter condition keeps the array from getting too big if rsiCrossedOver     array.push(rsi_arr, rsi) if barstate.islast     log.info("rsi_arr:" + str.tostring(rsi_arr))     log.info("bix=" + str.tostring(bix) + " - RSI=" + str.tostring(rsi)) plot(rsi) Example Output => rsi_arr: bix=20210 - RSI=56.9030578034 Of course, if you restrict the decimal places by using the rounding the rsi value with something like rsiRounded = math.round(rsi * 100) / 100 , then you can further reduce the size of your array. In this case the output may look something like: Example Output => rsi_arr: bix=20210 - RSI=55.6947486019 This will give your code a little breathing room. In a nutshell, I was coding for over a year trying to debug by pushing output to labels, tables, and using libraries that cluttered up my code. Once I was able to debug with log.info() it was a game changer. I was able to start building much more advanced scripts. Hopefully, this will help you on your journey as well.
Indicatore Pine Script®
di mwrightinc
AlphaTrend//@version=5 indicator('AlphaTrend', shorttitle='AT', overlay=true, format=format.price, precision=2, timeframe='') coeff = input.float(1, 'Multiplier', step=0.1) AP = input(14, 'Common Period') ATR = ta.sma(ta.tr, AP) src = input(close) showsignalsk = input(title='Show Signals?', defval=true) novolumedata = input(title='Change calculation (no volume data)?', defval=false) upT = low - ATR * coeff downT = high + ATR * coeff AlphaTrend = 0.0 AlphaTrend := (novolumedata ? ta.rsi(src, AP) >= 50 : ta.mfi(hlc3, AP) >= 50) ? upT < nz(AlphaTrend ) ? nz(AlphaTrend ) : upT : downT > nz(AlphaTrend ) ? nz(AlphaTrend ) : downT color1 = AlphaTrend > AlphaTrend ? #00E60F : AlphaTrend < AlphaTrend ? #80000B : AlphaTrend > AlphaTrend ? #00E60F : #80000B k1 = plot(AlphaTrend, color=color.new(#0022FC, 0), linewidth=3) k2 = plot(AlphaTrend , color=color.new(#FC0400, 0), linewidth=3) fill(k1, k2, color=color1) buySignalk = ta.crossover(AlphaTrend, AlphaTrend ) sellSignalk = ta.crossunder(AlphaTrend, AlphaTrend ) K1 = ta.barssince(buySignalk) K2 = ta.barssince(sellSignalk) O1 = ta.barssince(buySignalk ) O2 = ta.barssince(sellSignalk ) plotshape(buySignalk and showsignalsk and O1 > K2 ? AlphaTrend * 0.9999 : na, title='BUY', text='BUY', location=location.absolute, style=shape.labelup, size=size.tiny, color=color.new(#0022FC, 0), textcolor=color.new(color.white, 0)) plotshape(sellSignalk and showsignalsk and O2 > K1 ? AlphaTrend * 1.0001 : na, title='SELL', text='SELL', location=location.absolute, style=shape.labeldown, size=size.tiny, color=color.new(color.maroon, 0), textcolor=color.new(color.white, 0)) alertcondition(buySignalk and O1 > K2, title='Potential BUY Alarm', message='BUY SIGNAL!') alertcondition(sellSignalk and O2 > K1, title='Potential SELL Alarm', message='SELL SIGNAL!') alertcondition(buySignalk and O1 > K2, title='Confirmed BUY Alarm', message='BUY SIGNAL APPROVED!') alertcondition(sellSignalk and O2 > K1, title='Confirmed SELL Alarm', message='SELL SIGNAL APPROVED!') alertcondition(ta.cross(close, AlphaTrend), title='Price Cross Alert', message='Price - AlphaTrend Crossing!') alertcondition(ta.crossover(low, AlphaTrend), title='Candle CrossOver Alarm', message='LAST BAR is ABOVE ALPHATREND') alertcondition(ta.crossunder(high, AlphaTrend), title='Candle CrossUnder Alarm', message='LAST BAR is BELOW ALPHATREND!') alertcondition(ta.cross(close , AlphaTrend ), title='Price Cross Alert After Bar Close', message='Price - AlphaTrend Crossing!') alertcondition(ta.crossover(low , AlphaTrend ), title='Candle CrossOver Alarm After Bar Close', message='LAST BAR is ABOVE ALPHATREND!') alertcondition(ta.crossunder(high , AlphaTrend ), title='Candle CrossUnder Alarm After Bar Close', message='LAST BAR is BELOW ALPHATREND!')
Indicatore Pine Script®
di ericanasah
BTCs RSI Dip & EMA Crossover AlertThis indicator helps you catch potential reversal opportunities after a stock or crypto asset becomes oversold. 🛠 How it works: Watches RSI (Relative Strength Index) First, it waits for RSI to dip below a level you choose (default is 30), which often signals the asset is oversold and due for a bounce. Waits for Price Confirmation After the RSI dip, the indicator watches for the first time price closes above both the 55 EMA and 200 EMA — a strong sign that momentum may be shifting upward. Sends a “Buy” Signal When that happens, the script: Plots a green “Buy” label on the chart Triggers an alert (labeled "Buy Indicator") so you’re notified immediately ⚙️ Customizable Inputs: RSI threshold (e.g. 30 or 25) RSI period (e.g. 14) EMA lengths (default: 55 and 200) ✅ Designed to: Avoid false signals by requiring both RSI weakness and price strength Only trigger once per RSI dip, so you’re not spammed with repeat alerts Use it to stay patient during downtrends and get alerted when the technicals show a possible turnaround. Great for swing traders and longer-term entries.
Indicatore Pine Script®
di BTC4Retirement
市场参与度宽度 (S&P/Nasdaq)指标功能和解读： 下拉菜单切换： 在指标的设置（点击指标名称旁边的小齿轮图标）中，您可以轻松地从 "S&P 500" 切换到 "Nasdaq 100"，指标会自动更新显示对应的数据。 同框显示： 蓝色的粗线代表50天市场参与度（中期健康度），橙色的细线代表20天市场参与度（短期情绪），两者在同一个副图中，方便您进行对比和观察。 关键水平线： 50%线 (灰色实线): 这是最重要的多空分界线。当指标线持续在50%以上时，表明市场处于强势；反之则处于弱势。 80%线 (红色虚线): 当短期指标（橙色线）进入80%以上时，可能意味着市场情绪过热，进入超买区。 20%线 (绿色虚线): 当短期指标进入20%以下时，可能意味着市场情绪过度悲观，进入超卖区，有时是机会的信号。 背离分析： 您可以观察当主图指数（如SPY）创出新高时，这个指标是否也创出新高。如果指数新高而指标没有，就形成了顶背离，是市场内部力量减弱的警示信号。 Indicator function and interpretation: Drop-down menu switch: In the indicator settings (click the small gear icon next to the indicator name), you can easily switch from "S&P 500" to "Nasdaq 100", and the indicator will automatically update to display the corresponding data. Same frame display: The thick blue line represents the 50-day market participation (medium-term health), and the thin orange line represents the 20-day market participation (short-term sentiment). Both are in the same sub-chart for your comparison and observation. Key horizontal lines: 50% line (solid gray line): This is the most important dividing line between long and short. When the indicator line is continuously above 50%, it indicates that the market is strong; otherwise, it is weak. 80% line (dashed red line): When the short-term indicator (orange line) enters above 80%, it may mean that the market sentiment is overheated and enters the overbought zone. 20% line (dashed green line): When the short-term indicator enters below 20%, it may mean that the market sentiment is overly pessimistic and enters the oversold zone, which is sometimes a signal of opportunity. Divergence analysis: You can observe whether this indicator also hits a new high when the main chart index (such as SPY) hits a new high. If the index hits a new high but the indicator does not, it forms a top divergence, which is a warning signal of weakening internal market forces.
Indicatore Pine Script®
di kmdczf