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Indicatori e strategie

Altcoin Liquidity Flow Score - Big Moves Only//@version=6 indicator("Altcoin Liquidity Flow Score - Big Moves Only", overlay=false) // Pull weekly macro data walcl = request.security("FRED:WALCL", "W", close) rrp = request.security("FRED:RRPONTSYD", "W", close) tga = request.security("FRED:WDTGAL", "W", close) hyg = request.security("AMEX:HYG", "W", close) total3 = request.security("CRYPTOCAP:TOTAL3", "W", close) usdt_d = request.security("CRYPTOCAP:USDT.D", "W", close) // Calculate week-over-week change delta_liquidity = ta.change(walcl + rrp - tga) delta_rrp = ta.change(rrp) delta_hyg = ta.change(hyg) delta_total3 = ta.change(total3) delta_usdt_d = ta.change(usdt_d) // Compute raw score raw_score = delta_liquidity - delta_rrp + delta_hyg + delta_total3 - delta_usdt_d // Apply 3-week smoothing score = ta.ema(raw_score, 3) // Define threshold for major liquidity shift threshold = 2.0 // Plot score + background for only strong signals plot(score, title="Liquidity Flow Score (Smoothed)", color=color.teal, linewidth=2) hline(0, "Zero Line", color=color.gray) bgcolor(score > threshold ? color.new(color.green, 85) : score < -threshold ? color.new(color.red, 85) : na)
Indicatore Pine Script®
di shreejitnair18
Greer EPS Yield📘 Script Title Greer EPS Yield – Valuation Insight Based on Earnings Productivity 🧾 Description Greer EPS Yield is a valuation-focused indicator from the Greer Financial Toolkit, designed to evaluate how efficiently a company generates earnings relative to its current stock price. This script calculates the Earnings Per Share Yield (EPS%), using the formula: EPS Yield (%) = Earnings Per Share ÷ Stock Price × 100 This yield metric provides a quick snapshot of valuation through the lens of profitability per share. It dynamically highlights when the EPS yield is: 🟢 Above its historical average (potentially undervalued) 🔴 Below its historical average (potentially overvalued) 🔍 Use Case Quickly assess valuation attractiveness based on earnings yield. Identify potential buy opportunities when EPS% is above its long-term average. Combine with other indicators in the Greer Financial Toolkit for a fundamentals-driven investment strategy: 📘 Greer Value – Tracks year-over-year growth consistency across six key metrics 📊 Greer Value Yields Dashboard – Visualizes valuation-based yield metrics 🟢 Greer BuyZone – Highlights long-term technical buy zones 🛠️ Inputs & Data Uses fiscal year EPS data from TradingView’s built-in financial database. Tracks a static average EPS Yield to compare current valuation to historical norms. Clean, intuitive visual with automatic color coding. ⚠️ Disclaimer This tool is for educational and informational purposes only and should not be considered financial advice. Always conduct your own research before making investment decisions.
Indicatore Pine Script®
di controllinghand
GX Credit Spread SignalThe GX Credit Spread Signal is an advanced indicator designed for traders who trade options strategies on the SPX index, especially using vertical credit spreads. It combines traditional technical analysis with volatility and option pricing concepts to provide relevant signals and projections on the chart. Main features: Trend analysis: Uses opening gap, position relative to VWAP and simple moving average (SMA 50) to indicate bullish or bearish bias right after the first 15-minute candle. Safe range projection: Calculates a range based on the ATR (Average True Range) multiplied by a safety factor, suggesting potential strikes for credit spreads. Quantitative estimates: Calculates the estimated delta of options via the Black-Scholes formula approximation. Estimated probability of expiring out of the money (OTM). Chart visualizations: Displays projected ATR lines, previous day's levels (high, low, close) and an informative panel with strikes, delta, OTM probability, ATR and VWAP data. Configurable alerts: Notifications for detected bullish or bearish bias, helping the trader to identify opportunities quickly. This indicator is ideal for those who day trade with SPX options, facilitating decision-making by combining technical analysis, volatility and option probabilities in one place.
Indicatore Pine Script®
di GustavoBA
Momentum SNR VIP [3 TP + Max 50 Pip SL]//@version=6 indicator("Momentum SNR VIP ", overlay=true) // === Settings === pip = input.float(0.0001, "Pip Size", step=0.0001) sl_pip = 50 * pip tp1_pip = 40 * pip tp2_pip = 70 * pip tp3_pip = 100 * pip lookback = input.int(20, "Lookback for S/R", minval=5) // === SNR === pivotHigh = ta.pivothigh(high, lookback, lookback) pivotLow = ta.pivotlow(low, lookback, lookback) supportZone = not na(pivotLow) resistanceZone = not na(pivotHigh) plotshape(supportZone, title="Support", location=location.belowbar, color=color.blue, style=shape.triangleup, size=size.tiny) plotshape(resistanceZone, title="Resistance", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.tiny) // === Price Action === bullishEngulfing = close < open and close > open and close > open and open <= close bearishEngulfing = close > open and close < open and close < open and open >= close bullishPinBar = close < open and (low - math.min(open, close)) > 1.5 * math.abs(close - open) bearishPinBar = close > open and (high - math.max(open, close)) > 1.5 * math.abs(close - open) buySignal = supportZone and (bullishEngulfing or bullishPinBar) sellSignal = resistanceZone and (bearishEngulfing or bearishPinBar) // === SL & TP === rawBuySL = low - 10 * pip buySL = math.max(close - sl_pip, rawBuySL) buyTP1 = close + tp1_pip buyTP2 = close + tp2_pip buyTP3 = close + tp3_pip rawSellSL = high + 10 * pip sellSL = math.min(close + sl_pip, rawSellSL) sellTP1 = close - tp1_pip sellTP2 = close - tp2_pip sellTP3 = close - tp3_pip // === Plot Buy/Sell Signal plotshape(buySignal, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY") plotshape(sellSignal, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL") // === Plot SL & TP lines plot(buySignal ? buySL : na, title="Buy SL", color=color.red, style=plot.style_linebr, linewidth=1) plot(buySignal ? buyTP1 : na, title="Buy TP1", color=color.green, style=plot.style_linebr, linewidth=1) plot(buySignal ? buyTP2 : na, title="Buy TP2", color=color.green, style=plot.style_linebr, linewidth=1) plot(buySignal ? buyTP3 : na, title="Buy TP3", color=color.green, style=plot.style_linebr, linewidth=1) plot(sellSignal ? sellSL : na, title="Sell SL", color=color.red, style=plot.style_linebr, linewidth=1) plot(sellSignal ? sellTP1 : na, title="Sell TP1", color=color.green, style=plot.style_linebr, linewidth=1) plot(sellSignal ? sellTP2 : na, title="Sell TP2", color=color.green, style=plot.style_linebr, linewidth=1) plot(sellSignal ? sellTP3 : na, title="Sell TP3", color=color.green, style=plot.style_linebr, linewidth=1) // === Labels if buySignal label.new(x=bar_index, y=buySL, text="SL : " + str.tostring(buySL, "#.0000"), style=label.style_label_down, color=color.red, textcolor=color.white) label.new(x=bar_index, y=buyTP1, text="TP1 : " + str.tostring(buyTP1, "#.0000"), style=label.style_label_up, color=color.green, textcolor=color.white) label.new(x=bar_index, y=buyTP2, text="TP2 : " + str.tostring(buyTP2, "#.0000"), style=label.style_label_up, color=color.green, textcolor=color.white) label.new(x=bar_index, y=buyTP3, text="TP3 : " + str.tostring(buyTP3, "#.0000"), style=label.style_label_up, color=color.green, textcolor=color.white) if sellSignal label.new(x=bar_index, y=sellSL, text="SL : " + str.tostring(sellSL, "#.0000"), style=label.style_label_up, color=color.red, textcolor=color.white) label.new(x=bar_index, y=sellTP1, text="TP1 : " + str.tostring(sellTP1, "#.0000"), style=label.style_label_down, color=color.green, textcolor=color.white) label.new(x=bar_index, y=sellTP2, text="TP2 : " + str.tostring(sellTP2, "#.0000"), style=label.style_label_down, color=color.green, textcolor=color.white) label.new(x=bar_index, y=sellTP3, text="TP3 : " + str.tostring(sellTP3, "#.0000"), style=label.style_label_down, color=color.green, textcolor=color.white) // === Alerts alertcondition(buySignal, title="Buy Alert", message="🟢 BUY at Support Zone + Price Action") alertcondition(sellSignal, title="Sell Alert", message="🟡 SELL at Resistance Zone + Price Action")
Indicatore Pine Script®
di shakalss7
Time Zone (with weekends)//@version=5 indicator("Time Zone (with weekends)", overlay=true) // Задаём сессию — например, с 01:00 до 13:00 UTC sessionTime = input.session("0100-1300", "Временной промежуток") zoneColor = input.color(color.new(color.blue, 85), "Цвет зоны") // Проверка, попадает ли текущий бар во временной промежуток inTimeZone = time(timeframe.period, sessionTime) // Закрашиваем фон bgcolor(inTimeZone ? zoneColor : na)
Indicatore Pine Script®
di Alex2784_3513
BTC 现货与期货溢价指数█ Overview / 核心理念 This indicator measures the price difference between the Spot and Futures markets to reveal the true driver of market momentum. 本指标通过衡量现货与期货市场的价格差异，旨在揭示市场动能的真实驱动力。 It helps you answer a key question: Is the current trend driven by solid institutional spot buying or by speculative sentiment in the futures market? 它帮助您回答一个关键问题：当前趋势是由坚实的机构现货买盘驱动，还是由期货市场的投机情绪主导？ █ Core Logic & Calculation / 核心计算逻辑 The core logic is simple yet powerful: Premium = Spot Price - Futures Price. 其核心逻辑简单而强大：溢价 = 现货价格 - 期货价格。 Positive Value (Green Bars): "Spot Premium" 正值 (绿色柱): “现货溢价” This means the spot price is higher than the futures price. It's a strong bullish signal, suggesting significant spot buying pressure, likely from institutions. 这意味着现货价格高于期货价格。这是一个强烈的看涨信号，通常意味着存在巨大的现货买盘压力，可能来自机构。 Negative Value (Red Bars): "Futures Premium" 负值 (红色柱): “期货溢价” This means the futures price is higher than the spot price. It indicates that bullish sentiment is more concentrated in the futures market, or that there is selling pressure in the spot market. 这意味着期货价格高于现货价格。这表明看涨情绪更多地集中在期货市场，或现货市场存在抛售压力。 █ How to Read the Chart / 如何解读图表 Premium Histogram / 溢价柱状图 The height of the bars represents the magnitude of the price difference. Taller bars indicate a greater divergence between the two markets and more extreme sentiment. 柱体的高度代表了价格差异的大小。柱体越高，意味着两个市场之间的分歧越大，情绪越极端。 Zero Line / 零轴 This is the watershed between spot-led and futures-led dominance. 这是现货主导与期货主导的分水岭。 Info Panel / 信息面板 A real-time display in the top-right corner shows the current Spot Price, Futures Price, and the precise Premium value. 位于右上角的信息面板，实时显示当前的现货价格、期货价格以及精确的溢价数值。 █ Trading Strategies & Advanced Interpretation / 交易策略与高级解读 The essence of this indicator lies in analyzing the synergy and divergence between price action and premium changes to identify the dominant market force. 本指标的精髓在于结合价格行为与溢价变化，判断出当前主导市场是现货还是期货，从而进行同步或背离分析。 █ Alert System / 警报系统 The indicator includes two built-in alerts based on Bollinger Bands to catch extreme sentiment. 本指标包含两个基于布林带的内置警报，用以捕捉极端情绪。 Spot Premium Too High (Cross Up): 现货溢价过高 (向上突破): Triggers when the green premium bar breaks above the upper Bollinger Band. It signals that spot buying has become excessively "euphoric" and may be due for a short-term cooldown. 当绿色溢价柱向上突破布林带上轨时触发。这标志着现货买盘已进入极度的“狂热”状态，短期内可能面临回调。 Futures Premium Too High / Spot Selling Pressure (Cross Down): 期货溢价过高 / 现货抛压 (向下突破): Triggers when the premium bar breaks below the lower Bollinger Band (deeply negative). It signals intense spot selling pressure or panic, confirming strong bearish sentiment. 当溢价柱向下突破布林带下轨（负值极大）时触发。这标志着强烈的现货抛压或市场恐慌，是看跌情绪强烈的确认信号。 █ Disclaimer / 免责声明 This tool is based on the theory that the spot market has a dominant influence on major trends. Its effectiveness depends on this condition holding true. 本工具的理论基础是“现货市场对主要趋势具有主导影响力”。其有效性取决于该条件的成立。 This indicator is for educational and research purposes only. It does not constitute financial advice. Please use it in conjunction with your own trading system and risk management. 本指标仅用于教育和研究目的，不构成任何财务建议。请结合您自己的交易系统和风险管理进行使用。 Author ID：We1h0.eth Author X：https://x.com/we1h0
Indicatore Pine Script®
di erevus
H BollingerBollinger Bands are a widely used technical analysis indicator that helps spot relative price highs and lows. The tool comprises three lines: a central band representing the 20-period simple moving average (SMA), and upper and lower bands usually placed two standard deviations above and below the SMA. These bands adjust with market volatility, offering insights into price fluctuations and trading conditions. How this indicator works Bollinger Bands helps traders assess price volatility and potential price reversals. They consist of three bands: the middle band, the upper band, and the lower band. Here's how Bollinger Bands work: Middle band: This is typically a simple moving average (SMA) of the asset's price over a specified period. The most common period used is 20 days. Upper band: This is calculated by adding a specified number of standard deviations to the middle band. The standard deviation measures the asset's price volatility. Commonly, two standard deviations are added to the middle band. Lower band: Similar to the upper band, it is calculated by subtracting a specified number of standard deviations from the middle band. What do Bollinger Bands tell you? Bollinger bands primarily indicate the level of market volatility and trading opportunities. Narrow bands indicate low market volatility, while wide bands suggest high market volatility. Bollinger bands indicators can be used by traders to assess potential buy or sell signals. For instance, a sell signal may be interpreted or generated if the asset’s price moves closer or crosses the upper band, as it may indicate that the asset is overbought. Alternatively, a buy signal may be interpreted or generated if the price moves closer to the lower band, as it may signify that the asset is oversold. However, traders should be cautious when using Bollinger Bands as standalone indicators when making trading decisions. Experienced traders refrain from confirming signals based on one indicator. Instead, they generally combine various technical indicators and fundamental analysis methods to make informed trading decisions. Basing trading decisions on only one indicator can result in misinterpretation of signals and heavy losses. Bollinger Bands assist in identifying whether prices are relatively high or low. They are applied as a pair—upper and lower bands—alongside a moving average. However, these bands are not designed to be used in isolation. Instead, they should be used to validate signals generated by other technical indicators. Calculation of Bollinger Band
Indicatore Pine Script®
di qrdkob
CME Crude Oil 15-Min Multi-Unified Entry Zones (Dot Signals)//@version=6 indicator("CME Crude Oil 15-Min Multi-Unified Entry Zones (Dot Signals)", overlay=true) // --- Input Parameters --- emaLength = input.int(11, title="EMA Length", minval=1) // Ichimoku Cloud Inputs (Adjusted for higher sensitivity) conversionLineLength = input.int(7, title="Ichimoku Conversion Line Length (Sensitive)", minval=1) baseLineLength = input.int(20, title="Ichimoku Base Line Length (Sensitive)", minval=1) laggingSpanLength = input.int(40, title="Ichimoku Lagging Span Length (Sensitive)", minval=1) displacement = input.int(26, title="Ichimoku Displacement", minval=1) // MACD Inputs (Adjusted for higher sensitivity) fastLength = input.int(9, title="MACD Fast Length (Sensitive)", minval=1) slowLength = input.int(21, title="MACD Slow Length (Sensitive)", minval=1) signalLength = input.int(6, title="MACD Signal Length (Sensitive)", minval=1) // RSI Inputs rsiLength = input.int(8, title="RSI Length", minval=1) rsiOverbought = input.int(70, title="RSI Overbought Level", minval=50, maxval=90) rsiOversold = input.int(30, title="RSI Oversold Level", minval=10, maxval=50) // ADX Inputs adxLength = input.int(14, title="ADX Length", minval=1) adxTrendStrengthThreshold = input.int(20, title="ADX Trend Strength Threshold", minval=10, maxval=50) // Weak Entry Threshold (50 ticks for Crude Oil, where 1 tick = $0.01) // 50 ticks = $0.50 weakEntryTickThreshold = input.float(0.50, title="Weak Entry Threshold (in $)", minval=0.01) // --- Indicator Calculations --- // 1. EMA 11 ema11 = ta.ema(close, emaLength) // 2. Ichimoku Cloud donchian(len) => math.avg(ta.lowest(len), ta.highest(len)) tenkanSen = donchian(conversionLineLength) kijunSen = donchian(baseLineLength) senkouSpanA = math.avg(tenkanSen, kijunSen) senkouSpanB = donchian(laggingSpanLength) // Shifted for plotting (future projection) senkouSpanA_plot = senkouSpanA senkouSpanB_plot = senkouSpanB // Chikou Span (lagging span, plotted 26 periods back) chikouSpan = close // 3. MACD = ta.macd(close, fastLength, slowLength, signalLength) // 4. RSI rsi = ta.rsi(close, rsiLength) // 5. ADX = ta.dmi(adxLength, adxLength) // --- Price Volume Pattern Logic --- // Simplified volume confirmation: isVolumeIncreasing = volume > volume isVolumeDecreasing = volume < volume isPriceUp = close > close isPriceDown = close < close bullishVolumeConfirmation = (isPriceUp and isVolumeIncreasing) or (isPriceDown and isVolumeDecreasing) bearishVolumeConfirmation = (isPriceDown and isVolumeIncreasing) or (isPriceUp and isVolumeDecreasing) // --- Daily Pivot Point Calculation (Critical Support/Resistance) --- // Request daily High, Low, Close for pivot calculation = request.security(syminfo.tickerid, "D", [high , low , close ]) // Classic Pivot Point Formula dailyPP = (dailyHigh + dailyLow + dailyClose) / 3 dailyR1 = (2 * dailyPP) - dailyLow dailyS1 = (2 * dailyPP) - dailyHigh dailyR2 = dailyPP + (dailyHigh - dailyLow) dailyS2 = dailyPP - (dailyHigh - dailyLow) // --- Crosses and States for Unified Entry 1 (EMA & MACD) --- // Moved ta.cross() calls outside of conditional blocks for consistent calculation. emaGoldenCrossCondition = ta.cross(close, ema11) emaDeathCrossCondition = ta.cross(ema11, close) macdGoldenCrossCondition = ta.cross(macdLine, signalLine) macdDeathCrossCondition = ta.cross(signalLine, macdLine) emaIsBullish = close > ema11 emaIsBearish = close < ema11 macdIsBullishStrong = macdLine > signalLine and macdLine > 0 macdIsBearishStrong = macdLine < signalLine and macdLine < 0 // --- Unified Entry 1 Logic (EMA & MACD) --- unifiedLongEntry1 = false unifiedShortEntry1 = false if (emaGoldenCrossCondition and macdIsBullishStrong ) unifiedLongEntry1 := true else if (macdGoldenCrossCondition and emaIsBullish ) unifiedLongEntry1 := true if (emaDeathCrossCondition and macdIsBearishStrong ) unifiedShortEntry1 := true else if (macdDeathCrossCondition and emaIsBearish ) unifiedShortEntry1 := true // --- Unified Entry 2 Logic (Ichimoku & EMA/Volume) --- unifiedLongEntry2 = false unifiedShortEntry2 = false ichimokuCloudBullish = close > senkouSpanA_plot and close > senkouSpanB_plot and senkouSpanA_plot > senkouSpanB_plot and tenkanSen > kijunSen and chikouSpan > close ichimokuCloudBearish = close < senkouSpanA_plot and close < senkouSpanB_plot and senkouSpanB_plot > senkouSpanA_plot and tenkanSen < kijunSen and chikouSpan < close // Moved ta.cross() calls outside of conditional blocks for consistent calculation. ichimokuBullishTriggerCondition = ta.cross(tenkanSen, kijunSen) ichimokuBearishTriggerCondition = ta.cross(kijunSen, tenkanSen) priceCrossAboveSenkouA = ta.cross(close, senkouSpanA_plot) priceCrossBelowSenkouA = ta.cross(senkouSpanA_plot, close) if (ichimokuBullishTriggerCondition or (priceCrossAboveSenkouA and close > senkouSpanB_plot)) and emaIsBullish and bullishVolumeConfirmation unifiedLongEntry2 := true if (ichimokuBearishTriggerCondition or (priceCrossBelowSenkouA and close < senkouSpanB_plot)) and emaIsBearish and bearishVolumeConfirmation unifiedShortEntry2 := true // --- Weak Entry Logic --- weakLongEntry = false weakShortEntry = false // Function to check for weak long entry // Checks if the distance to the nearest resistance (R1 or R2) is less than the threshold f_isWeakLongEntry(currentPrice) => bool isWeak = false // Check R1 if it's above current price and within threshold if dailyR1 > currentPrice and (dailyR1 - currentPrice < weakEntryTickThreshold) isWeak := true // Check R2 if it's above current price and within threshold (only if not already weak by R1) else if dailyR2 > currentPrice and (dailyR2 - currentPrice < weakEntryTickThreshold) isWeak := true isWeak // Function to check for weak short entry // Checks if the distance to the nearest support (S1 or S2) is less than the threshold f_isWeakShortEntry(currentPrice) => bool isWeak = false // Check S1 if it's below current price and within threshold if dailyS1 < currentPrice and (currentPrice - dailyS1 < weakEntryTickThreshold) isWeak := true // Check S2 if it's below current price and within threshold (only if not already weak by S1) else if dailyS2 < currentPrice and (currentPrice - dailyS2 < weakEntryTickThreshold) isWeak := true isWeak // Apply weak entry check to Unified Entry 1 if unifiedLongEntry1 and f_isWeakLongEntry(close) weakLongEntry := true if unifiedShortEntry1 and f_isWeakShortEntry(close) weakShortEntry := true // Apply weak entry check to Unified Entry 2 if unifiedLongEntry2 and f_isWeakLongEntry(close) weakLongEntry := true if unifiedShortEntry2 and f_isWeakShortEntry(close) weakShortEntry := true // --- Enhanced Entry Conditions with RSI and ADX --- // Removed candlestick pattern requirement. // Only consider an entry if RSI is not overbought/oversold AND ADX indicates trend strength. // Enhanced Long Entry Condition enhancedLongEntry = (unifiedLongEntry1 or unifiedLongEntry2) and (rsi < rsiOverbought) and // RSI not overbought (adx > adxTrendStrengthThreshold) // ADX shows trend strength // Enhanced Short Entry Condition enhancedShortEntry = (unifiedShortEntry1 or unifiedShortEntry2) and (rsi > rsiOversold) and // RSI not oversold (adx > adxTrendStrengthThreshold) // ADX shows trend strength // --- Define colors as variables for clarity and to potentially resolve parsing issues --- // Changed named color constants to hexadecimal values var color strongBuyDotColor = #FFD700 // Gold var color weakBuyDotColor = #008000 // Green var color strongSellDotColor = #FFFFFF // White var color weakSellDotColor = #FF0000 // Red // --- Plotting Entry Dots on Candlesticks --- // Define conditions for plotting only on the *first* occurrence of a signal isNewStrongBuy = enhancedLongEntry and not weakLongEntry and not (enhancedLongEntry and not weakLongEntry ) isNewWeakBuy = enhancedLongEntry and weakLongEntry and not (enhancedLongEntry and weakLongEntry ) isNewStrongSell = enhancedShortEntry and not weakShortEntry and not (enhancedShortEntry and not weakShortEntry ) isNewWeakSell = enhancedShortEntry and weakShortEntry and not (enhancedShortEntry and weakShortEntry ) // Helper functions to check candlestick type isCurrentCandleBullish = close > open isCurrentCandleBearish = close < open // Strong Buy: Gold dot (only on bullish candles) plotshape(isNewStrongBuy and isCurrentCandleBullish ? close : na, title="Strong B", location=location.absolute, color=strongBuyDotColor, style=shape.circle, size=size.tiny) // Weak Buy: Solid Green dot (no candlestick filter for weak buys) // Changed text to "" and style to shape.triangleup for symbol only plotshape(isNewWeakBuy ? close : na, title="Weak B", location=location.absolute, color=weakBuyDotColor, style=shape.triangleup, size=size.tiny) // Strong Sell: White dot (only on bearish candles) plotshape(isNewStrongSell and isCurrentCandleBearish ? close : na, title="Strong S", location=location.absolute, color=strongSellDotColor, style=shape.circle, size=size.tiny) // Weak Sell: Red dot (no candlestick filter for weak sells) // Changed text to "" and style to shape.triangledown for symbol only plotshape(isNewWeakSell ? close : na, title="Weak S", location=location.absolute, color=weakSellDotColor, style=shape.triangledown, size=size.tiny) // --- Plotting Indicators (Optional, for visual confirmation) --- // All indicator plots have been removed as requested. // plot(ema11, title="EMA 11", color=emaColor) // plot(tenkanSen, title="Tenkan-Sen", color=tenkanColor) // plot(kijunSen, title="Kijun-Sen", color=kijunColor) // plot(senkouSpanA_plot, title="Senkou Span A", color=senkouAColor, offset=displacement) // plot(senkouSpanB_plot, title="Senkou Span B", color=senkouBColor, offset=displacement) // fill(plot(senkouSpanA_plot, offset=displacement), plot(senkouSpanB_plot, offset=displacement), color=cloudFillBullishColor, title="Cloud Fill Bullish") // fill(plot(senkouSpanA_plot, offset=displacement), plot(senkouSpanB_plot, offset=displacement), color=cloudFillBearishColor, title="Cloud Fill Bearish") // plot(chikouSpan, title="Chikou Span", color=chikouColor, offset=-displacement) // plot(macdLine, title="MACD Line", color=macdLineColor, display=display.pane) // plot(signalLine, title="Signal Line", color=signalLineColor, display=display.pane) // plot(hist, title="Histogram", color=hist >= 0 ? histGreenColor : histRedColor, style=plot.style_columns, display=display.pane) // plot(rsi, title="RSI", color=rsiPlotColor, display=display.pane) // hline(rsiOverbought, "RSI Overbought", color=rsiHlineRedColor, linestyle=hline.style_dashed, display=display.all) // hline(rsiOversold, "RSI Oversold", color=rsiHlineGreenColor, linestyle=hline.style_dashed, display=display.all) // plot(adx, title="ADX", color=adxPlotColor, display=display.pane) // hline(adxTrendStrengthThreshold, "ADX Threshold", color=adxHlineColor, linestyle=hline.style_dashed, display=display.all) // plot(diPlus, title="+DI", color=diPlusColor, display=display.pane) // plot(diMinus, title="-DI", color=diMinusColor, display=display.pane) // plot(dailyPP, title="Daily PP", color=dailyPPColor, style=plot.style_line, linewidth=1) // plot(dailyR1, title="Daily R1", color=dailyRColor, style=plot.style_line, linewidth=1) // plot(dailyR2, title="Daily R2", color=dailyRColor, style=plot.style_line, linewidth=1) // plot(dailyS1, title="Daily S1", color=dailySColor, style=plot.style_line, linewidth=1) // plot(dailyS2, title="Daily S2", color=dailySColor, style=plot.style_line, linewidth=1) // --- Alerts (Optional) --- alertcondition(enhancedLongEntry and not weakLongEntry, title="Strong Buy Alert", message="CME Crude Oil: Strong Buy Entry!") alertcondition(enhancedLongEntry and weakLongEntry, title="Weak Buy Alert", message="CME Crude Oil: Weak Buy Entry Detected!") alertcondition(enhancedShortEntry and not weakShortEntry, title="Strong Sell Alert", message="CME Crude Oil: Strong Sell Entry!") alertcondition(enhancedShortEntry and weakShortEntry, title="Weak Sell Alert", message="CME Crude Oil: Weak Sell Entry Detected!")
Indicatore Pine Script®
di kylow1987