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Trending Indicator: Price % of Pivots# Price % of Pivots Indicator ## Overview A trend-following indicator that measures current price position relative to recent pivot highs and lows as percentages, providing normalized trend analysis across all timeframes and instruments. ## Key Features - **Real-time trend table** with live signal updates (Strong Bullish/Bearish, Leaning Bullish/Bearish, Neutral) - **Dual percentage tracking**: Price % of high pivot and low pivot % of current price - **Universal compatibility** - works on any timeframe and asset class - **Faster than some other trend indicators** - catches trend changes earlier with less lag ## Trading Signals - **Bullish bias**: When price % of high pivot > low pivot % of price - **Bearish bias**: When low pivot % of price > price % of high pivot - **Customizable thresholds** (default 99%) with alert system - **Color-coded backgrounds** for immediate visual confirmation ## Configuration - Adjustable pivot lookback period (5-100 bars) - Customizable left/right bars for pivot confirmation - Threshold settings from 50-110% with 0.5% increments - Full color customization for all elements ## Advantages - **Speed**: More responsive than traditional ATR-based indicators - **Clarity**: Clean percentage-based display with professional info table - **Alerts**: Multiple conditions for automated and manual trading - **Versatility**: Effective for day trading, swing trading, and multi-timeframe analysis Perfect for traders seeking a fast, reliable trend indicator that works consistently across all markets and timeframes.
Pine Script® indicator
by ky_yule1010
AD Pro//@version=5 indicator("AD Pro", overlay=true) // === Inputs atrLen = input.int(14, "ATR Length") factor = input.float(0.7, "Factor") slMultiplier = input.float(2.0, "SL Multiplier") // Volatility Filter Input atrFilterStrength = input.float(1.0, "Volatility Threshold (x Avg ATR)", step=0.1, minval=0.1) // Min % Price Change Filter enableMinMove = input.bool(true, "Enable Min % Price Change Filter") lookbackBars = input.int(20, "Lookback Bars") minMovePct = input.float(0.005, "Min % Price Change", step=0.001, minval=0) // TP Buy colors tp1BuyColor = input.color(color.lime, "TP1 Buy Color") tp2BuyColor = input.color(color.green, "TP2 Buy Color") tp3BuyColor = input.color(color.teal, "TP3 Buy Color") // TP Sell colors tp1SellColor = input.color(color.fuchsia, "TP1 Sell Color") tp2SellColor = input.color(color.red, "TP2 Sell Color") tp3SellColor = input.color(color.maroon, "TP3 Sell Color") // SL colors slBuyColor = input.color(color.blue, "SL Buy Color") slSellColor = input.color(color.blue, "SL Sell Color") // === Indicator Calculations atr = ta.atr(atrLen) avgATR = ta.sma(atr, 50) atrCondition = atr > avgATR * atrFilterStrength priceChange = math.abs(close - close ) / close priceMoveOK = priceChange > minMovePct priceChangeCondition = not enableMinMove or priceMoveOK volatilityOK = atrCondition and priceChangeCondition // === UT Bot Logic src = close var float trailPrice = na var bool dirLong = true longStop = src - factor * atr shortStop = src + factor * atr if na(trailPrice) trailPrice := longStop dirLong := true else if dirLong trailPrice := math.max(trailPrice, longStop) dirLong := src > trailPrice else trailPrice := math.min(trailPrice, shortStop) dirLong := src > trailPrice rawBuy = dirLong and not dirLong rawSell = not dirLong and dirLong // Apply Volatility Filter buySignal = rawBuy and volatilityOK sellSignal = rawSell and volatilityOK // === Entry & Label Storage var float entryPrice = na var bool lastSignalIsBuy = na var label tp1Lbl = na var label tp2Lbl = na var label tp3Lbl = na var label slLbl = na var line tp1Line = na var line tp2Line = na var line tp3Line = na var line slLine = na if buySignal or sellSignal if not na(tp1Lbl) label.delete(tp1Lbl) if not na(tp2Lbl) label.delete(tp2Lbl) if not na(tp3Lbl) label.delete(tp3Lbl) if not na(slLbl) label.delete(slLbl) if not na(tp1Line) line.delete(tp1Line) if not na(tp2Line) line.delete(tp2Line) if not na(tp3Line) line.delete(tp3Line) if not na(slLine) line.delete(slLine) entryPrice := close lastSignalIsBuy := buySignal tp1 = entryPrice + (buySignal ? 1 : -1) * atr tp2 = entryPrice + (buySignal ? 2 : -2) * atr tp3 = entryPrice + (buySignal ? 3 : -3) * atr sl = entryPrice - (buySignal ? 1 : -1) * factor * atr * slMultiplier tp1Lbl := label.new(bar_index, tp1, "TP1 " + str.tostring(tp1, format.mintick), style=label.style_label_right, color=buySignal ? tp1BuyColor : tp1SellColor, textcolor=color.black) tp2Lbl := label.new(bar_index, tp2, "TP2 " + str.tostring(tp2, format.mintick), style=label.style_label_right, color=buySignal ? tp2BuyColor : tp2SellColor, textcolor=color.white) tp3Lbl := label.new(bar_index, tp3, "TP3 " + str.tostring(tp3, format.mintick), style=label.style_label_right, color=buySignal ? tp3BuyColor : tp3SellColor, textcolor=color.white) slLbl := label.new(bar_index, sl, "SL " + str.tostring(sl, format.mintick), style=label.style_label_right, color=buySignal ? slBuyColor : slSellColor, textcolor=color.white) tp1Line := line.new(bar_index, tp1, bar_index + 1, tp1, color=buySignal ? tp1BuyColor : tp1SellColor, style=line.style_dashed) tp2Line := line.new(bar_index, tp2, bar_index + 1, tp2, color=buySignal ? tp2BuyColor : tp2SellColor, style=line.style_dashed) tp3Line := line.new(bar_index, tp3, bar_index + 1, tp3, color=buySignal ? tp3BuyColor : tp3SellColor, style=line.style_dashed) slLine := line.new(bar_index, sl, bar_index + 1, sl, color=buySignal ? slBuyColor : slSellColor, style=line.style_dashed) // === Plot Signals plotshape(buySignal, title="Buy", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY") plotshape(sellSignal, title="Sell", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL") // === Alerts alertcondition(buySignal, title="Buy Alert", message="Buy Signal!") alertcondition(sellSignal, title="Sell Alert", message="Sell Signal!")
Pine Script® indicator
by ysramylady
1
PriceLevels GBHOW-TO: Goldbach Price Levels – Identify Algorithmic Key Zones This open-source indicator highlights specific price levels ending with numbers like 03, 11, 29, 35, 65, and 71. These values are often observed at key reversal or hesitation points and may align with algorithmic behavior patterns in the market. What it does: – Automatically scans and marks horizontal price levels containing these number endings – You can toggle visibility for each number type – Each level can have a custom color and line thickness – Labels show price values at the end of each line – Label color and transparency are fully customizable to match dark or light chart styles This tool is designed to help traders visually spot recurring patterns that might otherwise go unnoticed. It’s ideal for discretionary traders who want to study market structure through static price references. This script is open-source and published for educational use. For feedback or improvements, feel free to reach out via private message on TradingView.
Pine Script® indicator
by theunlockedtrading
9
AD Pro//@version=5 indicator("AD Pro", overlay=true) // === Inputs atrLen = input.int(14, "ATR Length") factor = input.float(0.7, "Factor") slMultiplier = input.float(2.0, "SL Multiplier") // Volatility Filter Input atrFilterStrength = input.float(1.0, "Volatility Threshold (x Avg ATR)", step=0.1, minval=0.1) // Min % Price Change Filter enableMinMove = input.bool(true, "Enable Min % Price Change Filter") lookbackBars = input.int(20, "Lookback Bars") minMovePct = input.float(0.005, "Min % Price Change", step=0.001, minval=0) // TP Buy colors tp1BuyColor = input.color(color.lime, "TP1 Buy Color") tp2BuyColor = input.color(color.green, "TP2 Buy Color") tp3BuyColor = input.color(color.teal, "TP3 Buy Color") // TP Sell colors tp1SellColor = input.color(color.fuchsia, "TP1 Sell Color") tp2SellColor = input.color(color.red, "TP2 Sell Color") tp3SellColor = input.color(color.maroon, "TP3 Sell Color") // SL colors slBuyColor = input.color(color.blue, "SL Buy Color") slSellColor = input.color(color.blue, "SL Sell Color") // === Indicator Calculations atr = ta.atr(atrLen) avgATR = ta.sma(atr, 50) atrCondition = atr > avgATR * atrFilterStrength priceChange = math.abs(close - close ) / close priceMoveOK = priceChange > minMovePct priceChangeCondition = not enableMinMove or priceMoveOK volatilityOK = atrCondition and priceChangeCondition // === UT Bot Logic src = close var float trailPrice = na var bool dirLong = true longStop = src - factor * atr shortStop = src + factor * atr if na(trailPrice) trailPrice := longStop dirLong := true else if dirLong trailPrice := math.max(trailPrice, longStop) dirLong := src > trailPrice else trailPrice := math.min(trailPrice, shortStop) dirLong := src > trailPrice rawBuy = dirLong and not dirLong rawSell = not dirLong and dirLong // Apply Volatility Filter buySignal = rawBuy and volatilityOK sellSignal = rawSell and volatilityOK // === Entry & Label Storage var float entryPrice = na var bool lastSignalIsBuy = na var label tp1Lbl = na var label tp2Lbl = na var label tp3Lbl = na var label slLbl = na var line tp1Line = na var line tp2Line = na var line tp3Line = na var line slLine = na if buySignal or sellSignal if not na(tp1Lbl) label.delete(tp1Lbl) if not na(tp2Lbl) label.delete(tp2Lbl) if not na(tp3Lbl) label.delete(tp3Lbl) if not na(slLbl) label.delete(slLbl) if not na(tp1Line) line.delete(tp1Line) if not na(tp2Line) line.delete(tp2Line) if not na(tp3Line) line.delete(tp3Line) if not na(slLine) line.delete(slLine) entryPrice := close lastSignalIsBuy := buySignal tp1 = entryPrice + (buySignal ? 1 : -1) * atr tp2 = entryPrice + (buySignal ? 2 : -2) * atr tp3 = entryPrice + (buySignal ? 3 : -3) * atr sl = entryPrice - (buySignal ? 1 : -1) * factor * atr * slMultiplier tp1Lbl := label.new(bar_index, tp1, "TP1 " + str.tostring(tp1, format.mintick), style=label.style_label_right, color=buySignal ? tp1BuyColor : tp1SellColor, textcolor=color.black) tp2Lbl := label.new(bar_index, tp2, "TP2 " + str.tostring(tp2, format.mintick), style=label.style_label_right, color=buySignal ? tp2BuyColor : tp2SellColor, textcolor=color.white) tp3Lbl := label.new(bar_index, tp3, "TP3 " + str.tostring(tp3, format.mintick), style=label.style_label_right, color=buySignal ? tp3BuyColor : tp3SellColor, textcolor=color.white) slLbl := label.new(bar_index, sl, "SL " + str.tostring(sl, format.mintick), style=label.style_label_right, color=buySignal ? slBuyColor : slSellColor, textcolor=color.white) tp1Line := line.new(bar_index, tp1, bar_index + 1, tp1, color=buySignal ? tp1BuyColor : tp1SellColor, style=line.style_dashed) tp2Line := line.new(bar_index, tp2, bar_index + 1, tp2, color=buySignal ? tp2BuyColor : tp2SellColor, style=line.style_dashed) tp3Line := line.new(bar_index, tp3, bar_index + 1, tp3, color=buySignal ? tp3BuyColor : tp3SellColor, style=line.style_dashed) slLine := line.new(bar_index, sl, bar_index + 1, sl, color=buySignal ? slBuyColor : slSellColor, style=line.style_dashed) // === Plot Signals plotshape(buySignal, title="Buy", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY") plotshape(sellSignal, title="Sell", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL") // === Alerts alertcondition(buySignal, title="Buy Alert", message="Buy Signal!") alertcondition(sellSignal, title="Sell Alert", message="Sell Signal!")
Pine Script® indicator
by ysramylady
PineTraderOT_V6Library "PineTraderOT_V6" TODO: Simplify the order ticket generation for Pinetrader.io GenerateOT(license_id, symbol, action, order_type, trade_type, size, price, tp, sl, risk, trailPrice, trailOffset)   CreateOrderTicket: Establishes a order ticket following appropriate guidelines.   Parameters:      license_id (string) : Provide your license index      symbol (string) : Symbol on which to execute the trade      action (string) : Execution method of the trade : "MRKT" or "PENDING"      order_type (string) : Direction type of the order: "BUY" or "SELL"      trade_type (string) : Is it a "SPREAD" trade or a "SINGLE" symbol execution?      size (float) : Size of the trade, in units      price (float) : If the order is pending you must specify the execution price      tp (float) : (Optional) Take profit of the order      sl (float) : (Optional) Stop loss of the order      risk (float) : Percent to risk for the trade, if size not specified      trailPrice (float) : (Optional) Price at which trailing stop is starting      trailOffset (float) : (Optional) Amount to trail by   Returns: Return Order string
Pine Script® library
by dgallop91
OBHOW-TO: Advanced Order Block & Liquidity Mapping Tool This script combines order block detection using 3- and 5-bar fractal structures with dynamic and static liquidity zones, plus optional time-based label calculations. Key features: – Fractal-based detection of bullish and bearish order blocks – Automatic removal of broken OBs to keep charts clean – Optional FVG validation for higher-quality OBs – Custom time label logic for bar/session analysis – Configurable visuals: line styles, widths, label placement, and time offsets The logic for liquidity detection is adapted from the open-source LiquidityFinderLibrary by TFlab. This version adds custom cleanup behavior and visual enhancements to improve usability. This script is published as open-source and intended for educational and analytical use only. No performance guarantees are implied. If you have questions or suggestions, feel free to message me privately on TradingView.
Pine Script® indicator
by theunlockedtrading
5
Bilateral Filter For Loop [BackQuant]Bilateral Filter For Loop The Bilateral Filter For Loop is an advanced technical indicator designed to filter out market noise and smooth out price data, thus improving the identification of underlying market trends. It employs a bilateral filter, which is a sophisticated non-linear filter commonly used in image processing and price time series analysis. By considering both spatial and range differences between price points, this filter is highly effective at preserving significant trends while reducing random fluctuations, ultimately making it suitable for dynamic trend-following strategies. Please take the time to read the following: Key Features 1. Bilateral Filter Calculation: The bilateral filter is the core of this indicator and works by applying a weight to each data point based on two factors: spatial distance and price range difference. This dual weighting process allows the filter to preserve important price movements while reducing the impact of less relevant fluctuations. The filter uses two primary parameters: Spatial Sigma (σ_d): This parameter adjusts the weight applied based on the distance of each price point from the current price. A larger spatial sigma means more smoothing, as further away values will contribute more heavily to the result. Range Sigma (σ_r): This parameter controls how much weight is applied based on the difference in price values. Larger price differences result in smaller weights, while similar price values result in larger weights, thereby preserving the trend while filtering out noise. The output of this filter is a smoothed version of the original price series, which eliminates short-term fluctuations, helping traders focus on longer-term trends. The bilateral filter is applied over a rolling window, adjusting the level of smoothing dynamically based on both the distance between values and their relative price movements. 2. For Loop Calculation for Trend Scoring: A for-loop is used to calculate the trend score based on the filtered price data. The loop compares the current value to previous values within the specified window, scoring the trend as follows: +1 for upward movement (when the filtered value is greater than the previous value). -1 for downward movement (when the filtered value is less than the previous value). The cumulative result of this loop gives a continuous trend score, which serves as a directional indicator for the market's momentum. By summing the scores over the window period, the loop provides an aggregate value that reflects the overall trend strength. This score helps determine whether the market is experiencing a strong uptrend, downtrend, or sideways movement. 3. Long and Short Conditions: Once the trend score has been calculated, it is compared against predefined threshold levels: A long signal is generated when the trend score exceeds the upper threshold, indicating that the market is in a strong uptrend. A short signal is generated when the trend score crosses below the lower threshold, signaling a potential downtrend or trend reversal. These conditions provide clear signals for potential entry points, and the color-coding helps traders quickly identify market direction: Long signals are displayed in green. Short signals are displayed in red. These signals are designed to provide high-confidence entries for trend-following strategies, helping traders capture profitable movements in the market. 4. Trend Background and Bar Coloring: The script offers customizable visual settings to enhance the clarity of the trend signals. Traders can choose to: Color the bars based on the trend direction: Bars are colored green for long signals and red for short signals. Change the background color to provide additional context: The background will be shaded green for a bullish trend and red for a bearish trend. This visual feedback helps traders to stay aligned with the prevailing market sentiment. These features offer a quick visual reference for understanding the market's direction, making it easier for traders to identify when to enter or exit positions. 5. Threshold Lines for Visual Feedback: Threshold lines are plotted on the chart to represent the predefined long and short levels. These lines act as clear markers for when the market reaches a critical threshold, triggering a potential buy (long) or sell (short) signal. By showing these threshold lines on the chart, traders can quickly gauge the strength of the market and assess whether the trend is strong enough to warrant action. These thresholds can be adjusted based on the trader's preferences, allowing them to fine-tune the indicator for different market conditions or asset behaviors. 6. Customizable Parameters for Flexibility: The indicator offers several parameters that can be adjusted to suit individual trading preferences: Window Period (Bilateral Filter): The window size determines how many past price values are used to calculate the bilateral filter. A larger window increases smoothing, while a smaller window results in more responsive, but noisier, data. Spatial Sigma (σ_d) and Range Sigma (σ_r): These values control how sensitive the filter is to price changes and the distance between data points. Fine-tuning these parameters allows traders to adjust the degree of noise reduction applied to the price series. Threshold Levels: The upper and lower thresholds determine when the trend score crosses into long or short territory. These levels can be customized to better match the trader's risk tolerance or asset characteristics. Visual Settings: Traders can customize the appearance of the chart, including the line width of trend signals, bar colors, and background shading, to make the indicator more readable and aligned with their charting style. 7. Alerts for Trend Reversals: The indicator includes alert conditions for real-time notifications when the market crosses the defined thresholds. Traders can set alerts to be notified when: The trend score crosses the long threshold, signaling an uptrend. The trend score crosses the short threshold, signaling a downtrend. These alerts provide timely information, allowing traders to take immediate action when the market shows a significant change in direction. Final Thoughts The Bilateral Filter For Loop indicator is a robust tool for trend-following traders who wish to reduce market noise and focus on the underlying trend. By applying the bilateral filter and calculating trend scores, this indicator helps traders identify strong uptrends and downtrends, providing reliable entry signals with minimal market noise. The customizable parameters, visual feedback, and alerting system make it a versatile tool for traders seeking to improve their timing and capture profitable market movements. Thus following all of the key points here are some sample backtests on the 1D Chart Disclaimer: Backtests are based off past results, and are not indicative of the future. INDEX:BTCUSD INDEX:ETHUSD CRYPTO:SOLUSD
Pine Script® indicator
by BackQuant
1
ATR Bands PRO + Sweep Label + Divergence [MASTER]🔰 ATR Bands PRO + Liquidity Sweep & Divergence (RSI/MACD) ## 🔰 ATR Bands PRO + Liquidity Sweep & Divergence A powerful institutional-grade toolkit that combines advanced ATR band visualization, customizable stop bands, dynamic grid lines, real-time liquidity sweep detection, and built-in swing-point divergence signals (RSI/MACD) – all fully adjustable. **Key Features:** - **Multi-Timeframe ATR Bands:** Visualize ATR-based bands from any higher timeframe, fully customizable in color, width, style, and extension. - **Smart Stops & Grid:** Add stop bands and dynamic ATR grid lines with user control over appearance and step. - **Liquidity Sweep Detection:** Instantly see “Bull Sweep” or “Bear Sweep” labels every time price touches high/low liquidity sweeps from your chosen timeframe. - **Divergence Alerts (RSI/MACD):** Detect bullish or bearish divergence at swing highs/lows (on the main timeframe) – complete with highly visible, color-customizable labels. - **Professional, Non-Cluttered Visuals:** All labels and lines are managed with smart array handling – zero repaint, zero overlay clutter. **How to Use:** 1. Choose your ATR “base” timeframe and customize band/stop/grid appearance. 2. Pick the Liquidity Sweep timeframe (e.g., H1, H4, D1) for institutional swing levels. 3. Enable divergence detection (RSI or MACD) to reveal hidden reversal signals at market pivots. 4. Adjust label offsets and colors for maximum clarity on your chart. **Perfect for:** - Liquidity-driven scalping, swing, and positional strategies. - Spotting liquidity grabs, institutional sweeps, and “trap” price action. - Fast visual confirmation of potential reversal zones using built-in divergence signals. - Traders who demand high-performance, flexible visuals without chart clutter. --- **Credit:** Original logic inspired by RunStrat, AlgoAlpha, and custom adaptations by MILO888. --- *For educational and professional use. Test on your own symbol/timeframe before live trading. Enjoy an edge!*
Pine Script® indicator
by MILO888
OBV PanelOBV Panel – Volume-Based Price Prediction & Signal Dashboard Powered by Pine Script v6 🔍 Overview This multi-functional indicator is designed around the On-Balance Volume (OBV) concept, enhancing it with prediction models, trend tracking, and actionable buy/sell signals. It uses a combination of real-time OBV movement, smoothed OBV with EMA, and linear regression-based OBV forecasts to deliver both intraday and weekly insights — all neatly displayed in a table panel and directly plotted on your chart. ⚙️ Core Components 📌 1. OBV Core OBV is calculated based on volume flowing into or out of a stock as price moves up or down. Tracks raw OBV and its EMA (Exponential Moving Average) for smoother trend reading. Computes a Predicted OBV using Linear Regression (ta.linreg) over a user-defined number of bars. 🔮 2. Predicted Price Forecast Uses OBV percentage changes combined with a user-set sensitivity factor to project next day’s expected price. Offers an AI-style price forecast based on OBV strength, not just price action. 💹 3. Buy/Sell Signal Logic Daily Signals: Triggered when OBV, OBV EMA, and Predicted OBV all move upward or downward from the previous day. Weekly Signals: Based on EMA changes over a 5-bar period (approx. 1 week). Signal markers are drawn on the chart for visual reference. 📊 Table Panel (Top-Right Overlay) A detailed visual panel shows: Metric Description OBV, OBV EMA, Predicted OBV From previous close to current value OBV - Predicted OBV Difference In lakhs (scaled for readability) % Change Stats Daily percentage change in OBV, EMA, and Predicted OBV Weekly OBV EMA Change Actual & % change over 5 bars Signal Summary BUY/SELL or HOLD based on logic OBV Dominance Whether OBV > EMA and Predicted OBV Predicted Price (Next Day) Based on OBV dynamics and sensitivity
Pine Script® indicator
by raghavprakash05
내 스크립트//@version=5 indicator("Support/Resistance Scalping Strategy", overlay=true) // === 사용자 설정 === support_level = input.float(101000, title="지지선", step=10) resistance_level = input.float(104000, title="저항선", step=10) rsi = ta.rsi(close, 14) bb_upper = ta.bb(close, 20, 2).upper bb_lower = ta.bb(close, 20, 2).lower // === 조건 === // 롱 조건: 지지선 근처 도달 + RSI < 40 + 볼린저 하단 근접 long_condition = (low <= support_level * 1.002) and (rsi < 40) and (close <= bb_lower) plotshape(long_condition, title="Long Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="LONG") // 숏 조건: 저항선 근처 도달 + RSI > 60 + 볼린저 상단 근접 short_condition = (high >= resistance_level * 0.998) and (rsi > 60) and (close >= bb_upper) plotshape(short_condition, title="Short Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="SHORT") // 시각적 지지/저항선 표시 hline(support_level, "지지선", color=color.green, linestyle=hline.style_dashed) hline(resistance_level, "저항선", color=color.red, linestyle=hline.style_dashed)
Pine Script® indicator
by Mido3310
내 스크립트//@version=5 indicator("Support/Resistance Scalping Strategy", overlay=true) // === 사용자 설정 === support_level = input.float(101000, title="지지선", step=10) resistance_level = input.float(104000, title="저항선", step=10) rsi = ta.rsi(close, 14) bb_upper = ta.bb(close, 20, 2).upper bb_lower = ta.bb(close, 20, 2).lower // === 조건 === // 롱 조건: 지지선 근처 도달 + RSI < 40 + 볼린저 하단 근접 long_condition = (low <= support_level * 1.002) and (rsi < 40) and (close <= bb_lower) plotshape(long_condition, title="Long Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="LONG") // 숏 조건: 저항선 근처 도달 + RSI > 60 + 볼린저 상단 근접 short_condition = (high >= resistance_level * 0.998) and (rsi > 60) and (close >= bb_upper) plotshape(short_condition, title="Short Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="SHORT") // 시각적 지지/저항선 표시 hline(support_level, "지지선", color=color.green, linestyle=hline.style_dashed) hline(resistance_level, "저항선", color=color.red, linestyle=hline.style_dashed)
Pine Script® indicator
by Mido3310
Sterke Trendwissel SignalenOverview The indicator combines three technical analysis tools to generate strong buy and sell signals: Moving Averages (MA): Short-term (9-period) and long-term (21-period) simple moving averages. Relative Strength Index (RSI): A 14-period RSI to measure overbought and oversold conditions. Volume: A volume multiplier (1.2x) compared to the average volume over 20 periods. Signals The indicator generates two types of signals: Strong Buy: When the short-term MA crosses above the long-term MA (bullish crossover), the relative volume is above the threshold (1.2x average), and the RSI is oversold (< 30). Strong Sell: When the short-term MA crosses below the long-term MA (bearish crossover), the relative volume is above the threshold (1.2x average), and the RSI is overbought (> 70). Visualizations The indicator plots: The short-term MA (blue line) The long-term MA (orange line) "STRONG BUY" labels (green) below the bar when a strong buy signal is generated "STRONG SELL" labels (red) above the bar when a strong sell signal is generated Alerts The indicator sets up alerts for strong buy and sell signals, which can be configured in TradingView's alert system. In summary, this indicator aims to identify strong trend changes by combining moving average crossovers, high volume, and RSI overbought/oversold conditions.
Pine Script® indicator
by Fiona_Dutch
RONALD SMA BUY and SELL Indicator//@version=6 indicator('RONALD SMA BUY and SELL Indicator', overlay=true, max_labels_count=500) // 1. Instellingen met standaardwaarden fastLength = input.int(3, 'Fast SMA Lengte', minval=1, tooltip='Kortere periode voor snellere SMA') slowLength = input.int(40, 'Slow SMA Lengte', minval=1, tooltip='Langere periode voor tragere SMA') signalColor = input.color(color.yellow, 'Signaalkleur', tooltip='Kleur voor alle signalen') // 2. SMA berekeningen fastSMA = ta.sma(close, fastLength) slowSMA = ta.sma(close, slowLength) // 3. Plot SMA lijnen plot(fastSMA, 'Fast SMA', color.new(color.blue, 0), 2) plot(slowSMA, 'Slow SMA', color.new(color.red, 0), 2) // 4. Signaal detectie bullish = ta.crossover(fastSMA, slowSMA) bearish = ta.crossunder(fastSMA, slowSMA) // 5. Geavanceerde label positioning yPosBuy = low - (ta.tr(true) * 0.5) yPosSell = high + (ta.tr(true) * 0.5) // 6. Dynamische labels met vingers if bullish label.new( bar_index, yPosBuy, text='BUY', color=signalColor, style=label.style_label_up, textcolor=color.white, yloc=yloc.price, size=size.normal) if bearish label.new( bar_index, yPosSell, text='SELL', color=signalColor, style=label.style_label_down, textcolor=color.white, yloc=yloc.price, size=size.normal) // 7. Alternatieve plotshapes (optioneel) plotshape(bullish, style=shape.triangleup, location=location.belowbar, color=signalColor, size=size.small) plotshape(bearish, style=shape.triangledown, location=location.abovebar, color=signalColor, size=size.small) useTrendFilter = input(true, "Gebruik Trendfilter") trendLength = input(50, "Trend SMA Lengte") trendSMA = ta.sma(close, trendLength)
Pine Script® indicator
by RonaldenEstervoorhout