立即開始

在腳本中搜尋"富时中国50期指"

The Lazy Trader - Index (ETF) Trend Following Robot50/150 moving average, index (ETF) trend following robot. Coded for people who cannot psychologically handle dollar-cost-averaging through bear markets and extreme drawdowns (although DCA can produce better results eventually), this robot helps you to avoid bear markets. Be a fair-weathered friend of Mr Market, and only take up his offer when the sun is shining! Designed for the lazy trader who really doesn't care... Recommended Chart Settings: Asset Class: ETF Time Frame: Daily Necessary ETF Macro Conditions: a) Country must have healthy demographics, good ratio of young > old b) Country population must be increasing c) Country must be experiencing price-inflation Default Robot Settings: Slow Moving Average: 50 (integer) //adjust to suit your underlying index Fast Moving Average: 150 (integer) //adjust to suit your underlying index Bullish Slope Angle: 5 (degrees) //up angle of moving averages Bearish Slope Angle: -5 (degrees) //down angle of moving averages Average True Range: 14 (integer) //input for slope-angle formula Risk: 100 (%) //100% risk means using all equity per trade ETF Test Results (Default Settings): SPY (1993 to 2020, 27 years), 332% profit, 20 trades, 6.4 profit factor, 7% drawdown EWG (1996 to 2020, 24 years), 310% profit, 18 trades, 3.7 profit factor, 10% drawdown EWH (1996 to 2020, 24 years), 4% loss, 26 trades, 0.9 profit factor, 36% drawdown QQQ (1999 to 2020, 21 years), 232% profit, 17 trades, 3.6 profit factor, 2% drawdown EEM (2003 to 2020, 17 years), 73% profit, 17 trades, 1.1 profit factor, 3% drawdown GXC (2007 to 2020, 13 years), 18% profit, 14 trades, 1.3 profit factor, 26% drawdown BKF (2009 to 2020, 11 years), 11% profit, 13 trades, 1.2 profit factor, 33% drawdown A longer time in the markets is better, with the exception of EWH. 6 out of 7 tested ETFs were profitable, feel free to test on your favourite ETF (default settings) and comment below. Risk Warning: Not tested on commodities nor other financial products like currencies (code will not work), feel free to leave comments below. Moving Average Slope Angle Formula: Reproduced and modified from source:
Pine Script®策略
由UnknownUnicorn1373033提供
3
50-Line Oscillator // (\_/) // ( •.•) // (")_(") 25-Line Oscillator Description: The 25-Line Oscillator is a sophisticated technical analysis tool designed to visualize market trends through the use of multiple Simple Moving Averages (SMAs). This indicator computes a series of 26 SMAs, incrementally increasing the base length, providing traders with a comprehensive view of price dynamics. Features: Customizable Base Length: Adjust the base length of the SMAs according to trading preferences, enhancing versatility for different market conditions. Rainbow Effect: The indicator employs a visually appealing rainbow color scheme to differentiate between the various trend lines, making it easy to identify crossovers and momentum shifts. Crossovers Detection: The script includes logic to detect crossover events between consecutive trend lines, which can serve as signals for potential entry or exit points in trading. Clear Visualization: Suitable for both novice and seasoned traders, the plots enable quick interpretation of trends and market behavior. How to Use: Add the indicator to your chart and customize the base length as desired. Observe the rainbow-colored lines for trend direction. Look for crossover events between the SMAs as potential trading signals. Application: This indicator is particularly useful for swing traders and trend followers who aim to capitalize on market momentum and identify reversals. By monitoring the behavior of multiple SMAs, traders can gain insights into the strength and direction of price movements over various time frames.
Pine Script®指標
由FollowtheWhiteRabbitz提供
50/100/200 Moving Averages (Pine Script For Copy)by fresca SCRIPT LANGUAGE Copy script below and adjust based on your preferences. -function (change function from "sma" to "ema", "wma" and more) -length (25 Day, 150 Day or add more averages to the three in this script.) -color, (red, yellow, etc. or use color hex codes i.e. #FEDA15, #FFAD8F, etc.) -transparency (set to desired level 1-100) Or add more options. RESOURCES Color hex codes site: www.canva.com Trading View Pine Script Editor Reference Guide: www.tradingview.com
Pine Script®指標
由manifresca提供
9
EMA Dynamic Crossover Detector with Real-Time Signal TableDescriptionWhat This Indicator Does:This indicator monitors all possible crossovers between four key exponential moving averages (20, 50, 100, and 200 periods) and displays them both visually on the chart and in an organized data table. Unlike standard EMA indicators that only plot the lines, this tool actively detects every crossover event, marks the exact crossover point with a circle, records the precise price level, and maintains a running log of all crossovers during the trading session. It's designed for traders who want comprehensive EMA crossover analysis without manually watching multiple moving average pairs.Key Features: Four Essential EMAs: Plots 20, 50, 100, and 200-period exponential moving averages with color-coded thin lines for clean chart presentation Complete Crossover Detection: Monitors all 6 possible EMA pair combinations (20×50, 20×100, 20×200, 50×100, 50×200, 100×200) in both directions Precise Price Marking: Places colored circles at the exact average price where crossovers occur (not just at candle close) Real-Time Signal Table: Displays up to 10 most recent crossovers with timestamp, direction, exact price, and signal type Session Filtering: Only records crossovers during active trading hours (10:00-18:00 Istanbul time) to avoid noise from low-liquidity periods Automatic Daily Reset: Clears the signal table at the start of each new trading day for fresh analysis Built-In Alerts: Two alert conditions (bullish and bearish crossovers) that can be configured to send notifications How It Works:The indicator calculates four exponential moving averages using the standard EMA formula, then continuously monitors for crossover events using Pine Script's ta.crossover() and ta.crossunder() functions:Bullish Crossovers (Green ▲): When a faster EMA crosses above a slower EMA, indicating potential upward momentum: 20 crosses above 50, 100, or 200 50 crosses above 100 or 200 100 crosses above 200 (Golden Cross when it's the 50×200) Bearish Crossovers (Red ▼): When a faster EMA crosses below a slower EMA, indicating potential downward momentum: 20 crosses below 50, 100, or 200 50 crosses below 100 or 200 100 crosses below 200 (Death Cross when it's the 50×200) Price Calculation: Instead of marking crossovers at the candle's close price (which might not be where the actual cross occurred), the indicator calculates the average price between the two crossing EMAs, providing a more accurate representation of the crossover point.Signal Table Structure:The table in the top-right corner displays four columns: Saat (Time): Exact time of crossover in HH:MM format Yön (Direction): Arrow indicator (▲ green for bullish, ▼ red for bearish) Fiyat (Price): Calculated average price at the crossover point Durum (Status): Signal classification ("ALIŞ" for buy signals, "SATIŞ" for sell signals) with color-coded background The table shows up to 10 most recent crossovers, automatically updating as new signals appear. If no crossovers have occurred during the session within the time filter, it displays "Henüz kesişim yok" (No crossovers yet).EMA Color Coding: EMA 20 (Aqua/Turquoise): Fastest-reacting, most sensitive to recent price changes EMA 50 (Green): Short-term trend indicator EMA 100 (Yellow): Medium-term trend indicator EMA 200 (Red): Long-term trend baseline, key support/resistance level How to Use:For Day Traders: Monitor 20×50 crossovers for quick entry/exit signals within the day Use the time filter (10:00-18:00) to focus on high-volume trading hours Check the signal table throughout the session to track momentum shifts Look for confirmation: if 20 crosses above 50 and price is above EMA 200, bullish bias is stronger For Swing Traders: Focus on 50×200 crossovers (Golden Cross/Death Cross) for major trend changes Use higher timeframes (4H, Daily) for more reliable signals Wait for price to close above/below the crossover point before entering Combine with support/resistance levels for better entry timing For Position Traders: Monitor 100×200 crossovers on daily/weekly charts for long-term trend changes Use as confirmation of major market shifts Don't react to every crossover—wait for sustained movement after the cross Consider multiple timeframe analysis (if crossovers align on weekly and daily, signal is stronger) Understanding EMA Hierarchies:The indicator becomes most powerful when you understand EMA relationships:Bullish Hierarchy (Strongest to Weakest): All EMAs ascending (20 > 50 > 100 > 200): Strong uptrend 20 crosses above 50 while both are above 200: Pullback ending in uptrend 50 crosses above 200 while 20/50 below: Early trend reversal signal Bearish Hierarchy (Strongest to Weakest): All EMAs descending (20 < 50 < 100 < 200): Strong downtrend 20 crosses below 50 while both are below 200: Rally ending in downtrend 50 crosses below 200 while 20/50 above: Early trend reversal signal Trading Strategy Examples:Pullback Entry Strategy: Identify major trend using EMA 200 (price above = uptrend, below = downtrend) Wait for pullback (20 crosses below 50 in uptrend, or above 50 in downtrend) Enter when 20 re-crosses 50 in the trend direction Place stop below/above the recent swing point Exit when 20 crosses 50 against the trend again Golden Cross/Death Cross Strategy: Wait for 50×200 crossover (appears in the signal table) Verify: Check if crossover occurs with increasing volume Entry: Enter in the direction of the cross after a pullback Stop: Place stop below/above the 200 EMA Target: Swing high/low or when opposite crossover occurs Multi-Crossover Confirmation: Watch for multiple crossovers in the same direction within a short period Example: 20×50 crossover followed by 20×100 = strengthening momentum Enter after the second confirmation crossover More crossovers = stronger signal but also means you're entering later Time Filter Benefits:The 10:00-18:00 Istanbul time filter prevents recording crossovers during: Pre-market volatility and gaps Low-volume overnight sessions (for 24-hour markets) After-hours erratic movements
Pine Script®指標
由TraderDemircan_提供
Multi SMA + Golden/Death + Heatmap + BB**Multi SMA (50/100/200) + Golden/Death + Candle Heatmap + BB** A practical trend toolkit that blends classic 50/100/200 SMAs with clear crossover labels, special 🚀 Golden / 💀 Death Cross markers, and a readable candle heatmap based on a dynamic regression midline and volatility bands. Optional Bollinger Bands are included for context. * See trend direction at a glance with SMAs. * Get minimal, de-cluttered labels on important crosses (50↔100, 50↔200, 100↔200). * Highlight big regime shifts with special Golden/Death tags. * Read momentum and volatility with the candle heatmap. * Add Bollinger Bands if you want classic mean-reversion context. Designed to be lightweight, non-repainting on confirmed bars, and flexible across timeframes. # What This Indicator Does (plain English) * **Tracks trend** using **SMA 50/100/200** and lets you optionally compute each SMA on a higher or different timeframe (HTF-safe, no lookahead). * **Prints labels** when SMAs cross each other (up or down). You can force signals only after bar close to avoid repaint. * **Marks Golden/Death Crosses** (50 over/under 200) with special labels so major regime changes stand out. * **Colors candles** with a **heatmap** built from a regression midline and volatility bands—greenish above, reddish below, with a smooth gradient. * **Optionally shows Bollinger Bands** (basis SMA + stdev bands) and fills the area between them. * **Includes alert conditions** for Golden and Death Cross so you can automate notifications. --- # Settings — Simple Explanations ## Source * **Source**: Price source used to calculate SMAs and Bollinger basis. Default: `close`. ## SMA 50 * **Show 50**: Turn the SMA(50) line on/off. * **Length 50**: How many bars to average. Lower = faster but noisier. * **Color 50** / **Width 50**: Visual style. * **Timeframe 50**: Optional alternate timeframe for SMA(50). Leave empty to use the chart timeframe. ## SMA 100 * **Show 100**: Turn the SMA(100) line on/off. * **Length 100**: Bars used for the mid-term trend. * **Color 100** / **Width 100**: Visual style. * **Timeframe 100**: Optional alternate timeframe for SMA(100). ## SMA 200 * **Show 200**: Turn the SMA(200) line on/off. * **Length 200**: Bars used for the long-term trend. * **Color 200** / **Width 200**: Visual style. * **Timeframe 200**: Optional alternate timeframe for SMA(200). ## Signals (crossover labels) * **Show crossover signals**: Prints triangle labels on SMA crosses (50↔100, 50↔200, 100↔200). * **Wait for bar close (confirmed)**: If ON, signals only appear after the candle closes (reduces repaint). * **Min bars between same-pair signals**: Minimum spacing to avoid duplicate labels from the same SMA pair too often. * **Trend filter (buy: 50>100>200, sell: 50<100<200)**: Only show bullish labels when SMAs are stacked bullish (50 above 100 above 200), and only show bearish labels when stacked bearish. ### Label Offset * **Offset mode**: Choose how to push labels away from price: * **Percent**: Offset is a % of price. * **ATR x**: Offset is ATR(14) × multiplier. * **Percent of price (%)**: Used when mode = Percent. * **ATR multiplier (for ‘ATR x’)**: Used when mode = ATR x. ### Label Colors * **Bull color** / **Bear color**: Background of triangle labels. * **Bull label text color** / **Bear label text color**: Text color inside the triangles. ## Golden / Death Cross * **Show 🚀 Golden Cross (50↑200)**: Show a special “Golden” label when SMA50 crosses above SMA200. * **Golden label color** / **Golden text color**: Styling for Golden label. * **Show 💀 Death Cross (50↓200)**: Show a special “Death” label when SMA50 crosses below SMA200. * **Death label color** / **Death text color**: Styling for Death label. ## Candle Heatmap * **Enable heatmap candle colors**: Turns the heatmap on/off. * **Length**: Lookback for the regression midline and volatility measure. * **Deviation Multiplier**: Band width around the midline (bigger = wider). * **Volatility basis**: * **RMA Range** (smoothed high-low range) * **Stdev** (standard deviation of close) * **Upper/Middle/Lower color**: Gradient colors for the heatmap. * **Heatmap transparency (0..100)**: 0 = solid, 100 = invisible. * **Force override base candles**: Repaint base candles so heatmap stays visible even if your chart has custom coloring. ## Bollinger Bands (optional) * **Show Bollinger Bands**: Toggle the overlay on/off. * **Length**: Basis SMA length. * **StdDev Multiplier**: Distance of bands from the basis in standard deviations. * **Basis color** / **Band color**: Line colors for basis and bands. * **Bands fill transparency**: Opacity of the fill between upper/lower bands. --- # Features & How It Works ## 1) HTF-Safe SMAs Each SMA can be calculated on the chart timeframe or a higher/different timeframe you choose. The script pulls HTF values **without lookahead** (non-repainting on confirmed bars). ## 2) Crossover Labels (Three Pairs) * **50↔100**, **50↔200**, **100↔200**: * **Triangle Up** label when the first SMA crosses **above** the second. * **Triangle Down** label when it crosses **below**. * Optional **Trend Filter** ensures only signals aligned with the overall stack (50>100>200 for bullish, 50<100<200 for bearish). * **Debounce** spacing avoids repeated labels for the same pair too close together. ## 3) Golden / Death Cross Highlights * **🚀 Golden Cross**: SMA50 crosses **above** SMA200 (often a longer-term bullish regime shift). * **💀 Death Cross**: SMA50 crosses **below** SMA200 (often a longer-term bearish regime shift). * Separate styling so they stand out from regular cross labels. ## 4) Candle Heatmap * Builds a **regression midline** with **volatility bands**; colors candles by their position inside that channel. * Smooth gradient: lower side → reddish, mid → yellowish, upper side → greenish. * Helps you see momentum and “where price sits” relative to a dynamic channel. ## 5) Bollinger Bands (Optional) * Classic **basis SMA** ± **StdDev** bands. * Light visual context for mean-reversion and volatility expansion. ## 6) Alerts * **Golden Cross**: `🚀 GOLDEN CROSS: SMA 50 crossed ABOVE SMA 200` * **Death Cross**: `💀 DEATH CROSS: SMA 50 crossed BELOW SMA 200` Add these to your alerts to get notified automatically. --- # Tips & Notes * For fewer false positives, keep **“Wait for bar close”** ON, especially on lower timeframes. * Use the **Trend Filter** to align signals with the broader stack and cut noise. * For HTF context, set **Timeframe 50/100/200** to higher frames (e.g., H1/H4/D) while you trade on a lower frame. * Heatmap “Length” and “Deviation Multiplier” control smoothness and channel width—tune for your asset’s volatility.
Pine Script®指標
由a_jabbaroff提供
RSI Overbought/Oversold + Divergence Indicator (new)//@version=5 indicator('CryptoSignalScanner - RSI Overbought/Oversold + Divergence Indicator (new)', //--------------------------------------------------------------------------------------------------------------------------------- //--- Define Colors --------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------- vWhite = #FFFFFF vViolet = #C77DF3 vIndigo = #8A2BE2 vBlue = #009CDF vGreen = #5EBD3E vYellow = #FFB900 vRed = #E23838 longColor = color.green shortColor = color.red textColor = color.white bullishColor = color.rgb(38,166,154,0) //Used in the display table bearishColor = color.rgb(239,83,79,0) //Used in the display table nomatchColor = color.silver //Used in the display table //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Functions-------------------------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- TF2txt(TF) => switch TF "S" => "RSI 1s:" "5S" => "RSI 5s:" "10S" => "RSI 10s:" "15S" => "RSI 15s:" "30S" => "RSI 30s" "1" => "RSI 1m:" "3" => "RSI 3m:" "5" => "RSI 5m:" "15" => "RSI 15m:" "30" => "RSI 30m" "45" => "RSI 45m" "60" => "RSI 1h:" "120" => "RSI 2h:" "180" => "RSI 3h:" "240" => "RSI 4h:" "480" => "RSI 8h:" "D" => "RSI 1D:" "1D" => "RSI 1D:" "2D" => "RSI 2D:" "3D" => "RSI 2D:" "3D" => "RSI 3W:" "W" => "RSI 1W:" "1W" => "RSI 1W:" "M" => "RSI 1M:" "1M" => "RSI 1M:" "3M" => "RSI 3M:" "6M" => "RSI 6M:" "12M" => "RSI 12M:" //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Show/Hide Settings ---------------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- rsiShowInput = input(true, title='Show RSI', group='Show/Hide Settings') maShowInput = input(false, title='Show MA', group='Show/Hide Settings') showRSIMAInput = input(true, title='Show RSIMA Cloud', group='Show/Hide Settings') rsiBandShowInput = input(true, title='Show Oversold/Overbought Lines', group='Show/Hide Settings') rsiBandExtShowInput = input(true, title='Show Oversold/Overbought Extended Lines', group='Show/Hide Settings') rsiHighlightShowInput = input(true, title='Show Oversold/Overbought Highlight Lines', group='Show/Hide Settings') DivergenceShowInput = input(true, title='Show RSI Divergence Labels', group='Show/Hide Settings') //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Table Settings -------------------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- rsiShowTable = input(true, title='Show RSI Table Information box', group="RSI Table Settings") rsiTablePosition = input.string(title='Location', defval='middle_right', options= , group="RSI Table Settings", inline='1') rsiTextSize = input.string(title=' Size', defval='small', options= , group="RSI Table Settings", inline='1') rsiShowTF1 = input(true, title='Show TimeFrame1', group="RSI Table Settings", inline='tf1') rsiTF1 = input.timeframe("15", title=" Time", group="RSI Table Settings", inline='tf1') rsiShowTF2 = input(true, title='Show TimeFrame2', group="RSI Table Settings", inline='tf2') rsiTF2 = input.timeframe("60", title=" Time", group="RSI Table Settings", inline='tf2') rsiShowTF3 = input(true, title='Show TimeFrame3', group="RSI Table Settings", inline='tf3') rsiTF3 = input.timeframe("240", title=" Time", group="RSI Table Settings", inline='tf3') rsiShowTF4 = input(true, title='Show TimeFrame4', group="RSI Table Settings", inline='tf4') rsiTF4 = input.timeframe("D", title=" Time", group="RSI Table Settings", inline='tf4') rsiShowHist = input(true, title='Show RSI Historical Columns', group="RSI Table Settings", tooltip='Show the information of the 2 previous closed candles') //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- RSI Input Settings ---------------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- rsiSourceInput = input.source(close, 'Source', group='RSI Settings') rsiLengthInput = input.int(14, minval=1, title='RSI Length', group='RSI Settings', tooltip='Here we set the RSI lenght') rsiColorInput = input.color(#26a69a, title="RSI Color", group='RSI Settings') rsimaColorInput = input.color(#ef534f, title="RSIMA Color", group='RSI Settings') rsiBandColorInput = input.color(#787B86, title="RSI Band Color", group='RSI Settings') rsiUpperBandExtInput = input.int(title='RSI Overbought Extended Line', defval=80, minval=50, maxval=100, group='RSI Settings') rsiUpperBandInput = input.int(title='RSI Overbought Line', defval=70, minval=50, maxval=100, group='RSI Settings') rsiLowerBandInput = input.int(title='RSI Oversold Line', defval=30, minval=0, maxval=50, group='RSI Settings') rsiLowerBandExtInput = input.int(title='RSI Oversold Extended Line', defval=20, minval=0, maxval=50, group='RSI Settings') //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- MA Input Settings ----------------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- maTypeInput = input.string("EMA", title="MA Type", options= , group="MA Settings") maLengthInput = input.int(14, title="MA Length", group="MA Settings") maColorInput = input.color(color.yellow, title="MA Color", group='MA Settings') //#7E57C2 //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Divergence Input Settings --------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- lbrInput = input(title="Pivot Lookback Right", defval=2, group='RSI Divergence Settings') lblInput = input(title="Pivot Lookback Left", defval=2, group='RSI Divergence Settings') lbRangeMaxInput = input(title="Max of Lookback Range", defval=10, group='RSI Divergence Settings') lbRangeMinInput = input(title="Min of Lookback Range", defval=2, group='RSI Divergence Settings') plotBullInput = input(title="Plot Bullish", defval=true, group='RSI Divergence Settings') plotHiddenBullInput = input(title="Plot Hidden Bullish", defval=true, group='RSI Divergence Settings') plotBearInput = input(title="Plot Bearish", defval=true, group='RSI Divergence Settings') plotHiddenBearInput = input(title="Plot Hidden Bearish", defval=true, group='RSI Divergence Settings') //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- RSI Calculation ------------------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- rsi = ta.rsi(rsiSourceInput, rsiLengthInput) rsiprevious = rsi = request.security(syminfo.tickerid, rsiTF1, [rsi, rsi , rsi ], lookahead=barmerge.lookahead_on) = request.security(syminfo.tickerid, rsiTF2, [rsi, rsi , rsi ], lookahead=barmerge.lookahead_on) = request.security(syminfo.tickerid, rsiTF3, [rsi, rsi , rsi ], lookahead=barmerge.lookahead_on) = request.security(syminfo.tickerid, rsiTF4, [rsi, rsi , rsi ], lookahead=barmerge.lookahead_on) //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- MA Calculation ------------------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- ma(source, length, type) => switch type "SMA" => ta.sma(source, length) "Bollinger Bands" => ta.sma(source, length) "EMA" => ta.ema(source, length) "SMMA (RMA)" => ta.rma(source, length) "WMA" => ta.wma(source, length) "VWMA" => ta.vwma(source, length) rsiMA = ma(rsi, maLengthInput, maTypeInput) rsiMAPrevious = rsiMA //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Stoch RSI Settings + Calculation -------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- showStochRSI = input(false, title="Show Stochastic RSI", group='Stochastic RSI Settings') smoothK = input.int(title="Stochastic K", defval=3, minval=1, maxval=10, group='Stochastic RSI Settings') smoothD = input.int(title="Stochastic D", defval=4, minval=1, maxval=10, group='Stochastic RSI Settings') lengthRSI = input.int(title="Stochastic RSI Lenght", defval=14, minval=1, group='Stochastic RSI Settings') lengthStoch = input.int(title="Stochastic Lenght", defval=14, minval=1, group='Stochastic RSI Settings') colorK = input.color(color.rgb(41,98,255,0), title="K Color", group='Stochastic RSI Settings', inline="1") colorD = input.color(color.rgb(205,109,0,0), title="D Color", group='Stochastic RSI Settings', inline="1") StochRSI = ta.rsi(rsiSourceInput, lengthRSI) k = ta.sma(ta.stoch(StochRSI, StochRSI, StochRSI, lengthStoch), smoothK) //Blue Line d = ta.sma(k, smoothD) //Red Line //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Divergence Settings ------------------------------------------------------------------------------------------------------------------------------------------ //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- bearColor = color.red bullColor = color.green hiddenBullColor = color.new(color.green, 50) hiddenBearColor = color.new(color.red, 50) //textColor = color.white noneColor = color.new(color.white, 100) osc = rsi plFound = na(ta.pivotlow(osc, lblInput, lbrInput)) ? false : true phFound = na(ta.pivothigh(osc, lblInput, lbrInput)) ? false : true _inRange(cond) => bars = ta.barssince(cond == true) lbRangeMinInput <= bars and bars <= lbRangeMaxInput //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Define Plot & Line Colors --------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- rsiColor = rsi >= rsiMA ? rsiColorInput : rsimaColorInput //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Plot Lines ------------------------------------------------------------------------------------------------------------------------------------------------------ //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- // Create a horizontal line at a specific price level myLine = line.new(bar_index , 75, bar_index, 75, color = color.rgb(187, 14, 14), width = 2) bottom = line.new(bar_index , 50, bar_index, 50, color = color.rgb(223, 226, 28), width = 2) mymainLine = line.new(bar_index , 60, bar_index, 60, color = color.rgb(13, 154, 10), width = 3) hline(50, title='RSI Baseline', color=color.new(rsiBandColorInput, 50), linestyle=hline.style_solid, editable=false) hline(rsiBandExtShowInput ? rsiUpperBandExtInput : na, title='RSI Upper Band', color=color.new(rsiBandColorInput, 10), linestyle=hline.style_dashed, editable=false) hline(rsiBandShowInput ? rsiUpperBandInput : na, title='RSI Upper Band', color=color.new(rsiBandColorInput, 10), linestyle=hline.style_dashed, editable=false) hline(rsiBandShowInput ? rsiLowerBandInput : na, title='RSI Upper Band', color=color.new(rsiBandColorInput, 10), linestyle=hline.style_dashed, editable=false) hline(rsiBandExtShowInput ? rsiLowerBandExtInput : na, title='RSI Upper Band', color=color.new(rsiBandColorInput, 10), linestyle=hline.style_dashed, editable=false) bgcolor(rsiHighlightShowInput ? rsi >= rsiUpperBandExtInput ? color.new(rsiColorInput, 70) : na : na, title="Show Extended Oversold Highlight", editable=false) bgcolor(rsiHighlightShowInput ? rsi >= rsiUpperBandInput ? rsi < rsiUpperBandExtInput ? color.new(#64ffda, 90) : na : na: na, title="Show Overbought Highlight", editable=false) bgcolor(rsiHighlightShowInput ? rsi <= rsiLowerBandInput ? rsi > rsiLowerBandExtInput ? color.new(#F43E32, 90) : na : na : na, title="Show Extended Oversold Highlight", editable=false) bgcolor(rsiHighlightShowInput ? rsi <= rsiLowerBandInput ? color.new(rsimaColorInput, 70) : na : na, title="Show Oversold Highlight", editable=false) maPlot = plot(maShowInput ? rsiMA : na, title='MA', color=color.new(maColorInput,0), linewidth=1) rsiMAPlot = plot(showRSIMAInput ? rsiMA : na, title="RSI EMA", color=color.new(rsimaColorInput,0), editable=false, display=display.none) rsiPlot = plot(rsiShowInput ? rsi : na, title='RSI', color=color.new(rsiColor,0), linewidth=1) fill(rsiPlot, rsiMAPlot, color=color.new(rsiColor, 60), title="RSIMA Cloud") plot(showStochRSI ? k : na, title='Stochastic K', color=colorK, linewidth=1) plot(showStochRSI ? d : na, title='Stochastic D', color=colorD, linewidth=1) //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Plot Divergence ------------------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- // Regular Bullish // Osc: Higher Low oscHL = osc > ta.valuewhen(plFound, osc , 1) and _inRange(plFound ) // Price: Lower Low priceLL = low < ta.valuewhen(plFound, low , 1) bullCond = plotBullInput and priceLL and oscHL and plFound plot( plFound ? osc : na, offset=-lbrInput, title="Regular Bullish", linewidth=2, color=(bullCond ? bullColor : noneColor) ) plotshape( DivergenceShowInput ? bullCond ? osc : na : na, offset=-lbrInput, title="Regular Bullish Label", text=" Bull ", style=shape.labelup, location=location.absolute, color=bullColor, textcolor=textColor ) //------------------------------------------------------------------------------ // Hidden Bullish // Osc: Lower Low oscLL = osc < ta.valuewhen(plFound, osc , 1) and _inRange(plFound ) // Price: Higher Low priceHL = low > ta.valuewhen(plFound, low , 1) hiddenBullCond = plotHiddenBullInput and priceHL and oscLL and plFound plot( plFound ? osc : na, offset=-lbrInput, title="Hidden Bullish", linewidth=2, color=(hiddenBullCond ? hiddenBullColor : noneColor) ) plotshape( DivergenceShowInput ? hiddenBullCond ? osc : na : na, offset=-lbrInput, title="Hidden Bullish Label", text=" H Bull ", style=shape.labelup, location=location.absolute, color=bullColor, textcolor=textColor ) //------------------------------------------------------------------------------ // Regular Bearish // Osc: Lower High oscLH = osc < ta.valuewhen(phFound, osc , 1) and _inRange(phFound ) // Price: Higher High priceHH = high > ta.valuewhen(phFound, high , 1) bearCond = plotBearInput and priceHH and oscLH and phFound plot( phFound ? osc : na, offset=-lbrInput, title="Regular Bearish", linewidth=2, color=(bearCond ? bearColor : noneColor) ) plotshape( DivergenceShowInput ? bearCond ? osc : na : na, offset=-lbrInput, title="Regular Bearish Label", text=" Bear ", style=shape.labeldown, location=location.absolute, color=bearColor, textcolor=textColor ) //------------------------------------------------------------------------------ // Hidden Bearish // Osc: Higher High oscHH = osc > ta.valuewhen(phFound, osc , 1) and _inRange(phFound ) // Price: Lower High priceLH = high < ta.valuewhen(phFound, high , 1) hiddenBearCond = plotHiddenBearInput and priceLH and oscHH and phFound plot( phFound ? osc : na, offset=-lbrInput, title="Hidden Bearish", linewidth=2, color=(hiddenBearCond ? hiddenBearColor : noneColor) ) plotshape( DivergenceShowInput ? hiddenBearCond ? osc : na : na, offset=-lbrInput, title="Hidden Bearish Label", text=" H Bear ", style=shape.labeldown, location=location.absolute, color=bearColor, textcolor=textColor ) //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Check RSI Lineup ------------------------------------------------------------------------------------------------------------------------------------------------ //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- bullTF = rsi > rsi and rsi > rsi bearTF = rsi < rsi and rsi < rsi bullTF1 = rsi1 > rsi1_1 and rsi1_1 > rsi1_2 bearTF1 = rsi1 < rsi1_1 and rsi1_1 < rsi1_2 bullTF2 = rsi2 > rsi2_1 and rsi2_1 > rsi2_2 bearTF2 = rsi2 < rsi2_1 and rsi2_1 < rsi2_2 bullTF3 = rsi3 > rsi3_1 and rsi3_1 > rsi3_2 bearTF3 = rsi3 < rsi3_1 and rsi3_1 < rsi3_2 bullTF4 = rsi4 > rsi4_1 and rsi4_1 > rsi4_2 bearTF4 = rsi4 < rsi4_1 and rsi4_1 < rsi4_2 bbTxt(bull,bear) => bull ? "BULLISH" : bear ? "BEARISCH" : 'NO LINEUP' bbColor(bull,bear) => bull ? bullishColor : bear ? bearishColor : nomatchColor newTC(tBox, col, row, txt, width, txtColor, bgColor, txtHA, txtSize) => table.cell(table_id=tBox,column=col, row=row, text=txt, width=width,text_color=txtColor,bgcolor=bgColor, text_halign=txtHA, text_size=txtSize) //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Define RSI Table Setting ---------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- width_c0 = 0 width_c1 = 0 if rsiShowTable var tBox = table.new(position=rsiTablePosition, columns=5, rows=6, bgcolor=color.rgb(18,22,33,50), frame_color=color.black, frame_width=1, border_color=color.black, border_width=1) newTC(tBox, 0,1,"RSI Current",width_c0,color.orange,color.rgb(0,0,0,100),'right',rsiTextSize) newTC(tBox, 1,1,str.format(" {0,number,#.##} ", rsi),width_c0,vWhite,rsi < 50 ? bearishColor:bullishColor,'left',rsiTextSize) newTC(tBox, 4,1,bbTxt(bullTF, bearTF),width_c0,vWhite,bbColor(bullTF, bearTF),'center',rsiTextSize) if rsiShowHist newTC(tBox, 2,1,str.format(" {0,number,#.##} ", rsi ),width_c0,vWhite,rsi < 50 ? bearishColor:bullishColor,'left',rsiTextSize) newTC(tBox, 3,1,str.format(" {0,number,#.##} ", rsi ),width_c0,vWhite,rsi < 50 ? bearishColor:bullishColor,'left',rsiTextSize) if rsiShowTF1 newTC(tBox, 0,2,TF2txt(rsiTF1),width_c0,vWhite,color.rgb(0,0,0,100),'right',rsiTextSize) newTC(tBox, 1,2,str.format(" {0,number,#.##} ", rsi1),width_c0,vWhite,rsi1 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) newTC(tBox, 4,2,bbTxt(bullTF1, bearTF1),width_c0,vWhite,bbColor(bullTF1,bearTF1),'center',rsiTextSize) if rsiShowHist newTC(tBox, 2,2,str.format(" {0,number,#.##} ", rsi1_1),width_c0,vWhite,rsi1_1 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) newTC(tBox, 3,2,str.format(" {0,number,#.##} ", rsi1_2),width_c0,vWhite,rsi1_2 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) if rsiShowTF2 newTC(tBox, 0,3,TF2txt(rsiTF2),width_c0,vWhite,color.rgb(0,0,0,100),'right',rsiTextSize) newTC(tBox, 1,3,str.format(" {0,number,#.##} ", rsi2),width_c0,vWhite,rsi2 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) newTC(tBox, 4,3,bbTxt(bullTF2, bearTF2),width_c0,vWhite,bbColor(bullTF2,bearTF2),'center',rsiTextSize) if rsiShowHist newTC(tBox, 2,3,str.format(" {0,number,#.##} ", rsi2_1),width_c0,vWhite,rsi2_1 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) newTC(tBox, 3,3,str.format(" {0,number,#.##} ", rsi2_2),width_c0,vWhite,rsi2_2 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) if rsiShowTF3 newTC(tBox, 0,4,TF2txt(rsiTF3),width_c0,vWhite,color.rgb(0,0,0,100),'right',rsiTextSize) newTC(tBox, 1,4,str.format(" {0,number,#.##} ", rsi3),width_c0,vWhite,rsi3 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) newTC(tBox, 4,4,bbTxt(bullTF3, bearTF3),width_c0,vWhite,bbColor(bullTF3,bearTF3),'center',rsiTextSize) if rsiShowHist newTC(tBox, 2,4,str.format(" {0,number,#.##} ", rsi3_1),width_c0,vWhite,rsi3_1 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) newTC(tBox, 3,4,str.format(" {0,number,#.##} ", rsi3_2),width_c0,vWhite,rsi3_2 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) if rsiShowTF4 newTC(tBox, 0,5,TF2txt(rsiTF4),width_c0,vWhite,color.rgb(0,0,0,100),'right',rsiTextSize) newTC(tBox, 1,5,str.format(" {0,number,#.##} ", rsi4),width_c0,vWhite,rsi4 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) newTC(tBox, 4,5,bbTxt(bullTF4, bearTF4),width_c0,vWhite,bbColor(bullTF4,bearTF4),'center',rsiTextSize) if rsiShowHist newTC(tBox, 2,5,str.format(" {0,number,#.##} ", rsi4_1),width_c0,vWhite,rsi4_1 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) newTC(tBox, 3,5,str.format(" {0,number,#.##} ", rsi4_2),width_c0,vWhite,rsi4_2 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) //------------------------------------------------------ //--- Alerts ------------------------------------------- //------------------------------------------------------
Pine Script®指標
由RandyDahlin提供
Breadth Indicators NYSE Percent Above Moving AverageBreadth Indicators NYSE - transmits the processed data from the Barchart provider NYSE - Breadth Indicators S&P 500 - Breadth Indicators DOW - Breadth Indicators RUSSEL 1000 - Breadth Indicators RUSSEL 2000 - Breadth Indicators RUSSEL 3000 - Breadth Indicators Moving Average - 5, 20, 50, 100, 150, 200 The "Percentage above 50-day SMA" indicator measures the percentage of stocks in the index trading above their 50-day moving average. It is a useful tool for assessing the general state of the market and identifying overbought and oversold conditions. One way to use the "Percentage above 50-day SMA" indicator in a trading strategy is to combine it with a long-term moving average to determine whether the trend is bullish or bearish. Another way to use it is to combine it with a short-term moving average to identify pullbacks and rebounds within the overall trend. The purpose of using the "Percentage above 50-day SMA" indicator is to participate in a larger trend with a better risk-reward ratio. By using this indicator to identify pullbacks and bounces, you can reduce the risk of entering trades at the wrong time. Bull Signal Recap: 150-day EMA of $SPXA50R crosses above 52.5 and remains above 47.50 to set the bullish tone. 5-day EMA of $SPXA50R moves below 40 to signal a pullback 5-day EMA of $SPXA50R moves above 50 to signal an upturn Bear Signal Recap: 150-day EMA of $SPXA50R crosses below 47.50 and remains below 52.50 to set the bearish tone. 5-day EMA of $SPXA50R moves above 60 to signal a bounce 5-day EMA of $SPXA50R moves below 50 to signal a downturn Tweaking There are numerous ways to tweak a trading system, but chartists should avoid over-optimizing the indicator settings. In other words, don't attempt to find the perfect moving average period or crossover level. Perfection is unattainable when developing a system or trading the markets. It is important to keep the system logical and focus tweaks on other aspects, such as the actual price chart of the underlying security. What do levels above and below 50% signify in the long-term moving average? A move above 52.5% is deemed bullish, and below 47.5% is deemed bearish. These levels help to reduce whipsaws by using buffers for bullish and bearish thresholds. How does the short-term moving average work to identify pullbacks or bounces? When using a 5-day EMA, a move below 40 signals a pullback, and a move above 60 signals a bounce. How is the reversal of pullback or bounce identified? A move back above 50 after a pullback or below 50 after a bounce signals that the respective trend may be resuming. How can you ensure that the uptrend has resumed? It’s important to wait for the surge above 50 to ensure the uptrend has resumed, signaling improved breadth. Can the system be tweaked to optimize indicator settings? While there are various ways to tweak the system, seeking perfection through over-optimizing settings is advised against. It's crucial to keep the system logical and focus tweaks on the price chart of the underlying security. RUSSIAN \ Русская версия. Индикатор "Процент выше 50-дневной скользящей средней" измеряет процент акций, торгующихся в индексе выше их 50-дневной скользящей средней. Это полезный инструмент для оценки общего состояния рынка и выявления условий перекупленности и перепроданности. Один из способов использования индикатора "Процент выше 50-дневной скользящей средней" в торговой стратегии - это объединить его с долгосрочной скользящей средней, чтобы определить, является ли тренд бычьим или медвежьим. Другой способ использовать его - объединить с краткосрочной скользящей средней, чтобы выявить откаты и отскоки в рамках общего тренда. Цель использования индикатора "Процент выше 50-дневной скользящей средней" - участвовать в более широком тренде с лучшим соотношением риска и прибыли. Используя этот индикатор для выявления откатов и отскоков, вы можете снизить риск входа в сделки в неподходящее время. Краткое описание бычьего сигнала: 150-дневная ЕМА на уровне $SPXA50R пересекает отметку 52,5 и остается выше 47,50, что задает бычий настрой. 5-дневная ЕМА на уровне $SPXA50R опускается ниже 40, сигнализируя об откате 5-дневная ЕМА на уровне $SPXA50R поднимается выше 50, сигнализируя о росте Обзор медвежьих сигналов: 150-дневная ЕМА на уровне $SPXA50R пересекает уровень ниже 47,50 и остается ниже 52,50, что указывает на медвежий настрой. 5-дневная ЕМА на уровне $SPXA50R поднимается выше 60, сигнализируя о отскоке 5-дневная ЕМА на уровне $SPXA50 опускается ниже 50, что сигнализирует о спаде Корректировка Существует множество способов настроить торговую систему, но графологам следует избегать чрезмерной оптимизации настроек индикатора. Другими словами, не пытайтесь найти идеальный период скользящей средней или уровень пересечения. Совершенство недостижимо при разработке системы или торговле на рынках. Важно поддерживать логику системы и уделять особое внимание другим аспектам, таким как график фактической цены базовой ценной бумаги. Что означают уровни выше и ниже 50% в долгосрочной скользящей средней? Движение выше 52,5% считается бычьим, а ниже 47,5% - медвежьим. Эти уровни помогают снизить риски, используя буферы для бычьих и медвежьих порогов. Как краткосрочная скользящая средняя помогает идентифицировать откаты или отскоки? При использовании 5-дневной ЕМА движение ниже 40 указывает на откат, а движение выше 60 указывает на отскок. Как определяется разворот отката или отскока? Движение выше 50 после отката или ниже 50 после отскока сигнализирует о возможном возобновлении соответствующего тренда. Как вы можете гарантировать, что восходящий тренд возобновился? Важно дождаться скачка выше 50, чтобы убедиться в возобновлении восходящего тренда, сигнализирующего о расширении диапазона. Можно ли настроить систему для оптимизации настроек индикатора? Хотя существуют различные способы настройки системы, не рекомендуется стремиться к совершенству с помощью чрезмерной оптимизации настроек. Крайне важно сохранить логичность системы и сфокусировать изменения на ценовом графике базовой ценной бумаги.
Pine Script®指標
由A-Shternkuker提供