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iKrit : EMACross🔸 Functionality Details EMA Calculation Calculates EMA lines with the specified values (3, 5, 20, 60, 200). All lines are shifted forward by 1 bar (offset=1) and are displayed as thin lines (linewidth=1). EMA Cross Signals (EMA3 vs EMA5) When EMA3 crosses above EMA5 → Shows a white ▲ arrow below the bar + LONG signal. When EMA3 crosses below EMA5 → Shows a white ▼ arrow above the bar + SHORT signal. Alerts can be set for both cases. EMA60/200 Cross Signals When EMA60 crosses above EMA200 → Triggers a Golden Cross alert. When EMA60 crosses below EMA200 → Triggers a Death Cross alert.
Pine Script® インジケーター
iKrit_traderの投稿
Economic Seasons [Daveatt]Ever wondered what season your economy is in? Just like Mother Nature has her four seasons, the economy cycles through its own seasons! This indicator helps you visualize where we are in the economic cycle by tracking two key metrics: 📊 What We're Tracking: 1. Interest Rates (USIRYY) - The yearly change in interest rates 2. Inflation Rate (USINTR) - The rate at which prices are rising The magic happens when we normalize these values (fancy math that makes the numbers play nice together) and compare them to their recent averages. We use a lookback period to calculate the standard deviation and determine if we're seeing higher or lower than normal readings. 🔄 The Four Economic Seasons & Investment Strategy: 1. 🌸 Goldilocks (↑Growth, ↓Inflation) "Not too hot, not too cold" - The economy is growing steadily without overheating. BEST TIME TO: Buy growth stocks, technology, consumer discretionary WHY: Companies can grow earnings in this ideal environment of low rates and stable prices 2. 🌞 Reflation (↑Growth, ↑Inflation) "Party time... but watch your wallet!" - The economy is heating up. BEST TIME TO: Buy commodities, banking stocks, real estate WHY: These sectors thrive when inflation rises alongside growth 3. 🌡️ Inflation (↓Growth, ↑Inflation) "Ouch, my purchasing power!" - Growth slows while prices keep rising. BEST TIME TO: Rotate into value stocks, consumer staples, healthcare WHY: These defensive sectors maintain pricing power during inflationary periods 4. ❄️ Deflation (↓Growth, ↓Inflation) "Winter is here" - Both growth and inflation are falling. BEST TIME TO: Focus on quality bonds, cash positions, and dividend aristocrats WHY: Capital preservation becomes key; high-quality fixed income provides safety 🎯 Strategic Trading Points: - BUY AGGRESSIVELY: During late Deflation/early Goldilocks (the spring thaw) - HOLD & ACCUMULATE: Throughout Goldilocks and early Reflation - START TAKING PROFITS: During late Reflation/early Inflation - DEFENSIVE POSITIONING: Throughout Inflation and Deflation ⚠️ Warning Signs to Watch: - Goldilocks → Reflation: Time to reduce growth stock exposure - Reflation → Inflation: Begin rotating into defensive sectors - Inflation → Deflation: Quality becomes crucial - Deflation → Goldilocks: Start building new positions The blue dot shows you where we are right now in this cycle. The red arrows in the middle remind us that this is a continuous cycle - one season flows into the next, just like in nature! 💡 Pro Tip: The transitions between seasons often provide the best opportunities - but also the highest risks. Use additional indicators and fundamental analysis to confirm these shifts. Remember: Just like you wouldn't wear a winter coat in summer, you shouldn't use a Goldilocks strategy during Inflation! Time your trades with the seasons. 🎯 Happy Trading! 📈
Pine Script® インジケーター
Daveattの投稿
SuperTrade ST1 StrategyOverview The SuperTrade ST1 Strategy is a long-only trend-following strategy that combines a Supertrend indicator with a 200-period EMA filter to isolate high-probability bullish trade setups. It is designed to operate in trending markets, using volatility-based exits with a strict 1:4 Risk-to-Reward (R:R) ratio, meaning that each trade targets a profit 4× the size of its predefined risk. This strategy is ideal for traders looking to align with medium- to long-term trends, while maintaining disciplined risk control and minimal trade frequency. How It Works This strategy leverages three key components: Supertrend Indicator A trend-following indicator based on Average True Range (ATR). Identifies bullish/bearish trend direction by plotting a trailing stop line that moves with price volatility. 200-period Exponential Moving Average (EMA) Filter Trades are only taken when the price is above the EMA, ensuring participation only during confirmed uptrends. Helps filter out counter-trend entries during market pullbacks or ranges. ATR-Based Stop Loss and Take Profit Each trade uses the ATR to calculate volatility-adjusted exit levels. Stop Loss: 1× ATR below entry. Take Profit: 4× ATR above entry (1:4 R:R). This asymmetry ensures that even with a lower win rate, the strategy can remain profitable. Entry Conditions A long trade is triggered when: Supertrend flips from bearish to bullish (trend reversal). Price closes above the Supertrend line. Price is above the 200 EMA (bullish market bias). Exit Logic Once a long position is entered: Stop loss is set 1 ATR below entry. Take profit is set 4 ATR above entry. The strategy automatically exits the position on either target. Backtest Settings This strategy is configured for realistic backtesting, including: $10,000 account size 2% equity risk per trade 0.1% commission 1 tick slippage These settings aim to simulate real-world conditions and avoid overly optimistic results. How to Use Apply the script to any timeframe, though higher timeframes (1H, 4H, Daily) often yield more reliable signals. Works best in clearly trending markets (especially in crypto, stocks, indices). Can be paired with alerts for live trading or analysis. Important Notes This version is long-only by design. No short positions are executed. Ideal for swing traders or position traders seeking asymmetric returns. Users can modify the ATR period, Supertrend factor, or EMA filter length based on asset behavior.
Pine Script® ストラテジー
SupertradeOfficialの投稿
Stocks Multi-Indicator Alerts (cryptodaddy)//@version=6 // Multi-Indicator Alerts // -------------------------------------------- // This script combines technical indicators and basic analyst data // to produce composite buy and sell signals. Each block is heavily // commented so future modifications are straightforward. indicator("Multi-Indicator Alerts", overlay=true, max_labels_count=500) //// === Daily momentum indicators === // Relative Strength Index measures price momentum. rsiLength = input.int(14, "RSI Length") rsi = ta.rsi(close, rsiLength) // Money Flow Index incorporates volume to track capital movement. // In Pine Script v6 the function only requires a price source and length; // volume is taken from the built-in `volume` series automatically. mfLength = input.int(14, "Money Flow Length") mf = ta.mfi(hlc3, mfLength) // `mfUp`/`mfDown` flag a turn in money flow over the last two bars. mfUp = ta.rising(mf, 2) mfDown = ta.falling(mf, 2) //// === WaveTrend oscillator === // A simplified WaveTrend model produces "dots" indicating potential // exhaustion points. Values beyond +/-53 are treated as oversold/overbought. n1 = input.int(10, "WT Channel Length") n2 = input.int(21, "WT Average Length") ap = hlc3 // typical price esa = ta.ema(ap, n1) // smoothed price d = ta.ema(math.abs(ap - esa), n1) // smoothed deviation ci = (ap - esa) / (0.015 * d) // channel index tci = ta.ema(ci, n2) // trend channel index wt1 = tci // main line wt2 = ta.sma(wt1, 4) // signal line greenDot = ta.crossover(wt1, wt2) and wt1 < -53 redDot = ta.crossunder(wt1, wt2) and wt1 > 53 plotshape(greenDot, title="Green Dot", style=shape.circle, color=color.green, location=location.belowbar, size=size.tiny) plotshape(redDot, title="Red Dot", style=shape.circle, color=color.red, location=location.abovebar, size=size.tiny) //// === Analyst fundamentals === // Fundamental values from TradingView's database. If a ticker lacks data // these will return `na` and the related conditions simply evaluate false. rating = request.financial(syminfo.tickerid, "rating", period="FY") targetHigh = request.financial(syminfo.tickerid, "target_high_price", period="FY") targetLow = request.financial(syminfo.tickerid, "target_low_price", period="FY") upsidePct = (targetHigh - close) / close * 100 downsidePct = (close - targetLow) / close * 100 // `rating` comes back as a numeric value (1 strong sell -> 5 strong buy). Use // thresholds instead of string comparisons so the script compiles even when // the broker only supplies numeric ratings. ratingBuy = rating >= 4 // buy or strong buy ratingNeutralOrBuy = rating >= 3 // neutral or better upsideCondition = upsidePct >= 2 * downsidePct // upside at least twice downside downsideCondition = downsidePct >= upsidePct // downside greater or equal //// === Daily moving-average context === // 50 EMA represents short-term trend; 200 EMA long-term bias. ema50 = ta.ema(close, 50) ema200 = ta.ema(close, 200) longBias = close > ema200 // price above 200-day = long bias momentumFavorable = close > ema50 // price above 50-day = positive momentum //// === Weekly trend filter === // Higher timeframe confirmation to reduce noise. weeklyClose = request.security(syminfo.tickerid, "W", close) weeklyEMA20 = request.security(syminfo.tickerid, "W", ta.ema(close, 20)) weeklyRSI = request.security(syminfo.tickerid, "W", ta.rsi(close, rsiLength)) // Weekly Money Flow uses the same two-argument `ta.mfi()` inside `request.security`. weeklyMF = request.security(syminfo.tickerid, "W", ta.mfi(hlc3, mfLength)) weeklyFilter = weeklyClose > weeklyEMA20 //// === Buy evaluation === // Each true condition contributes one point to `buyScore`. c1_buy = rsi < 50 // RSI below midpoint c2_buy = mfUp // Money Flow turning up c3_buy = greenDot // WaveTrend oversold bounce c4_buy = ratingBuy // Analyst rating Buy/Strong Buy c5_buy = upsideCondition // Forecast upside twice downside buyScore = (c1_buy?1:0) + (c2_buy?1:0) + (c3_buy?1:0) + (c4_buy?1:0) + (c5_buy?1:0) // Require all five conditions plus trend filters and persistence for two bars. buyCond = c1_buy and c2_buy and c3_buy and c4_buy and c5_buy and longBias and momentumFavorable and weeklyFilter and weeklyRSI > 50 and weeklyMF > 50 buySignal = buyCond and buyCond //// === Sell evaluation === // Similar logic as buy side but inverted. c1_sell = rsi > 70 // RSI above overbought threshold c2_sell = mfDown // Money Flow turning down c3_sell = redDot // WaveTrend overbought reversal c4_sell = ratingNeutralOrBuy // Analysts neutral or still buy c5_sell = downsideCondition // Downside at least equal to upside sellScore = (c1_sell?1:0) + (c2_sell?1:0) + (c3_sell?1:0) + (c4_sell?1:0) + (c5_sell?1:0) // For exits require weekly filters to fail or long bias lost. sellCond = c1_sell and c2_sell and c3_sell and c4_sell and c5_sell and (not longBias or not weeklyFilter or weeklyRSI < 50) sellSignal = sellCond and sellCond // Plot composite scores for quick reference. plot(buyScore, "Buy Score", color=color.green) plot(sellScore, "Sell Score", color=color.red) //// === Confidence table === // Shows which of the five buy/sell checks are currently met. var table status = table.new(position.top_right, 5, 2, border_width=1) if barstate.islast table.cell(status, 0, 0, "RSI", bgcolor=c1_buy?color.new(color.green,0):color.new(color.red,0)) table.cell(status, 1, 0, "MF", bgcolor=c2_buy?color.new(color.green,0):color.new(color.red,0)) table.cell(status, 2, 0, "Dot", bgcolor=c3_buy?color.new(color.green,0):color.new(color.red,0)) table.cell(status, 3, 0, "Rating", bgcolor=c4_buy?color.new(color.green,0):color.new(color.red,0)) table.cell(status, 4, 0, "Target", bgcolor=c5_buy?color.new(color.green,0):color.new(color.red,0)) table.cell(status, 0, 1, "RSI>70", bgcolor=c1_sell?color.new(color.red,0):color.new(color.green,0)) table.cell(status, 1, 1, "MF down",bgcolor=c2_sell?color.new(color.red,0):color.new(color.green,0)) table.cell(status, 2, 1, "Red dot", bgcolor=c3_sell?color.new(color.red,0):color.new(color.green,0)) table.cell(status, 3, 1, "Rating", bgcolor=c4_sell?color.new(color.red,0):color.new(color.green,0)) table.cell(status, 4, 1, "Target", bgcolor=c5_sell?color.new(color.red,0):color.new(color.green,0)) //// === Alert text === // Include key metrics in alerts so the chart doesn't need to be opened. buyMsg = "BUY: RSI " + str.tostring(rsi, "#.##") + ", MF " + str.tostring(mf, "#.##") + ", Upside " + str.tostring(upsidePct, "#.##") + "%" + ", Downside " + str.tostring(downsidePct, "#.##") + "%" + ", Rating " + str.tostring(rating, "#.##") sellMsg = "SELL: RSI " + str.tostring(rsi, "#.##") + ", MF " + str.tostring(mf, "#.##") + ", Upside " + str.tostring(upsidePct, "#.##") + "%" + ", Downside " + str.tostring(downsidePct, "#.##") + "%" + ", Rating " + str.tostring(rating, "#.##") // Alert conditions use static messages; dynamic data is sent via `alert()` alertcondition(buySignal, title="Buy Signal", message="Buy conditions met") alertcondition(sellSignal, title="Sell Signal", message="Sell conditions met") if buySignal alert(buyMsg, alert.freq_once_per_bar_close) if sellSignal alert(sellMsg, alert.freq_once_per_bar_close) //// === Watch-out flags === // Gentle warnings when trends weaken but before full sell signals. warnRSI = rsi > 65 and rsi <= 65 warnAnalyst = upsidePct < 2 * downsidePct and upsidePct > downsidePct alertcondition(warnRSI, title="RSI Watch", message="RSI creeping above 65") alertcondition(warnAnalyst, title="Analyst Watch", message="Analyst upside shrinking") if warnRSI alert("RSI creeping above 65: " + str.tostring(rsi, "#.##"), alert.freq_once_per_bar_close) if warnAnalyst alert("Analyst upside shrinking: up " + str.tostring(upsidePct, "#.##") + "% vs down " + str.tostring(downsidePct, "#.##") + "%", alert.freq_once_per_bar_close) //// === Plot bias moving averages === plot(ema50, color=color.orange, title="EMA50") plot(ema200, color=color.blue, title="EMA200") //// === Cross alerts for context === goldenCross = ta.crossover(ema50, ema200) deathCross = ta.crossunder(ema50, ema200) alertcondition(goldenCross, title="Golden Cross", message="50 EMA crossed above 200 EMA") alertcondition(deathCross, title="Death Cross", message="50 EMA crossed below 200 EMA")
Pine Script® インジケーター
leandrobankingの投稿
The Silver Lining – GSR🍯 This tool converts the Gold/Silver Ratio (GSR) into a precision timing lens for short-term traders operating inside digital silver markets. It reveals structural dominance, trend exhaustion, and regime inflection by comparing the GSR to its smoothed baseline and historical percentile rhythm. On high timeframes (1D+), it reflects macroeconomic sentiment shifts 📈. 🧐 The lower the timeframe, the higher the alpha; the 15m and 1h charts are where you will the hidden pots of gold. For LTF traders, it becomes a hyper-responsive bias filter — especially when paired with volatility-based confirmation systems like SUPeR TReND 2.718, as shown. 🧠 The core logic compares the GSR (gold ÷ silver) against a user-defined moving average (VWMA or EMA). A color-coded fill shifts based on direction: amber when gold leads, teal when silver gains strength. Percentile bands (20th, 50th, 80th) map structural zones — helping traders anchor trades based on confluence, not hype. 📊 In the example chart, four theoretical long trades are shown on the 1h chart, manually drawn on the 15m timeframe. Each begins when the GSR reverses from the 80th percentile or breaks below its MA. The trades occur precisely as silver tested support, with confirmation from SUPeR TReND’s trend shift. Although idealized, these aren’t guesses — they are compression-to-expansion sequences backed by macro relative strength flow. Several yielded gains exceeding 4%. 🏆 Best-case long trades occur when GSR rotates down through the 50th percentile and silver catches a reactive bid. Shorts appear when GSR rises through the upper percentile band while silver fails to hold key intraday levels. The percentile bands function like behavioral tiers: 🥈 Below 20th = Silver Dominance ⚠️ Around 50th = Crossover Area 🥇 Above 80th = Gold Dominance 🥈 Why silver? It’s faster, more emotional, and more manipulated than gold — which paradoxically makes it more tradable on low timeframes. Its range-bound nature is ideal for rinse-and-repeat systems. Because we trade the derivative (XAGUSD), there’s no friction or delivery constraint — just price action, clean and liquid. ⚖️ The underlying strategy isn’t just technical; it’s alchemical. The system begins with short-term trading in digital silver and funnels gains into physical gold — converting volatility into wealth. Over time, this establishes a perpetual motion model: when profits allow, trade silver, extract value, cash out and convert into gold. The account stays active, and the hedge keeps growing. 🔁 The Silver Lining isn’t a signal engine. It’s a structural overlay. It tells you when the market’s invisible bias is shifting — so your tactics stay aligned with macro rhythm. 🌊 Silver moves fast. Gold moves first. The Silver Lining helps you bridge that gap — with clarity, confluence, and edge.
Pine Script® インジケーター
TheLeadingIndicatorの投稿
1
Multi-Band Comparison (Uptrend)Multi-Band Comparison Overview: The Multi-Band Comparison indicator is engineered to reveal critical levels of support and resistance in strong uptrends. In a healthy upward market, the price action will adhere closely to the 95th percentile line (the Upper Quantile Band), effectively “riding” it. This indicator combines a modified Bollinger Band (set at one standard deviation), quantile analysis (95% and 5% levels), and power‑law math to display a dynamic picture of market structure—highlighting a “golden channel” and robust support areas. Key Components & Calculations: The Golden Channel: Upper Bollinger Band & Upper Std Dev Band of the Upper Quantile Upper Bollinger Band: Calculation: boll_upper=SMA(close,length)+(boll_mult×stdev) boll_upper=SMA(close,length)+(boll_mult×stdev) Here, the 20-period SMA is used along with one standard deviation of the close, where the multiplier (boll_mult) is 1.0. Role in an Uptrend: In a healthy uptrend, price rides near the 95th percentile line. When price crosses above this Upper Bollinger Band, it confirms strong bullish momentum. Upper Std Dev Band of the Upper Quantile (95th Percentile) Band: Calculation: quant_upper_std_up=quant_upper+stdev quant_upper_std_up=quant_upper+stdev The Upper Quantile Band, quant_upperquant_upper, is calculated as the 95th percentile of recent price data. Adding one standard deviation creates an extension that accounts for normal volatility around this extreme level. The Golden Channel: When the price crosses above the Upper Bollinger Band, the Upper Std Dev Band of the Upper Quantile immediately shifts to gold (yellow) and remains gold until price falls below the Bollinger level. Together, these two lines form the “golden channel”—a visual hallmark of a healthy uptrend where the price reliably hugs the 95th percentile level. Upper Power‑Law Band Calculation: The Upper Power‑Law Band is derived in two steps: Determine the Extreme Return Factor: power_upper=Percentile(returns,95%) power_upper=Percentile(returns,95%) where returns are computed as: returns=closeclose −1. returns=close close​−1. Scale the Current Price: power_upper_band=close×(1+power_upper) power_upper_band=close×(1+power_upper) Rationale and Correlation: By focusing on the upper 5% of returns (reflecting “fat tails”), the Upper Power‑Law Band captures extreme but statistically expected movements. In an uptrend, its value often converges with the Upper Std Dev Band of the Upper Quantile because both measures reflect heightened volatility and extreme price levels. When the Upper Power‑Law Band exceeds the Upper Std Dev Band, it can signal a temporary overextension. Upper Quantile Band (95% Percentile) Calculation: quant_upper=Percentile(price,95%) quant_upper=Percentile(price,95%) This level represents where 95% of past price data falls below, and in a robust uptrend the price action practically rides this line. Color Logic: Its color shifts from a neutral (blackish) tone to a vibrant, bullish hue when the Upper Power‑Law Band crosses above it—signaling extra strength in the trend. Lower Quantile and Its Support Lower Quantile Band (5% Percentile): Calculation: quant_lower=Percentile(price,5%) quant_lower=Percentile(price,5%) Behavior: In a healthy uptrend, price remains well above the Lower Quantile Band. It turns red only when price touches or crosses it, serving as a warning signal. Under normal conditions it remains bright green, indicating the market is not nearing these extreme lows. Lower Std Dev Band of the Lower Quantile: This line is calculated by subtracting one standard deviation from quant_lowerquant_lower and typically serves as absolute support in nearly all conditions (except during gap or near-gap moves). Its consistent role as support provides traders with a robust level to monitor. How to Use the Indicator: Golden Channel and Trend Confirmation: As price rides the Upper Quantile (95th percentile) perfectly in a healthy uptrend, the Upper Bollinger Band (1 stdev above SMA) and the Upper Std Dev Band of the Upper Quantile form a “golden channel” once price crosses above the Bollinger level. When this occurs, the Upper Std Dev Band remains gold until price dips back below the Bollinger Band. This visual cue reinforces trend strength. Power‑Law Insights: The Upper Power‑Law Band, which is based on extreme (95th percentile) returns, tends to align with the Upper Std Dev Band. This convergence reinforces that extreme, yet statistically expected, price moves are occurring—indicating that even though the price rides the 95th percentile, it can only stretch so far before a correction or consolidation. Support Indicators: Primary and Secondary Support in Uptrends: The Upper Bollinger Band and the Lower Std Dev Band of the Upper Quantile act as support zones for minor retracements in the uptrend. Absolute Support: The Lower Std Dev Band of the Lower Quantile serves as an almost invariable support area under most market conditions. Conclusion: The Multi-Band Comparison indicator unifies advanced statistical techniques to offer a clear view of uptrend structure. In a healthy bull market, price action rides the 95th percentile line with precision, and when the Upper Bollinger Band is breached, the corresponding Upper Std Dev Band turns gold to form a “golden channel.” This, combined with the Power‑Law analysis that captures extreme moves, and the robust lower support levels, provides traders with powerful, multi-dimensional insights for managing entries, exits, and risk. Disclaimer: Trading involves risk. This indicator is for educational purposes only and does not constitute financial advice. Always perform your own analysis before making trading decisions.
Pine Script® インジケーター
garysebastianbrowniiiの投稿
Enhanced Economic Composite with Dynamic WeightEnhanced Economic Composite with Dynamic Weight Overview of the Indicator : The "Enhanced Economic Composite with Dynamic Weight" is a comprehensive tool that combines multiple economic indicators, technical signals, and dynamic weighting to provide insights into market and economic health. It adjusts based on current volatility and recession risk, offering a detailed view of market conditions. What This Indicator Does : Tracks Economic Health: Uses key economic and market indicators to assess overall market conditions. Dynamic Weighting: Adjusts the importance of components like stock indices, gold, and bonds based on volatility (VIX) and yield curve inversion. Technical Signals: Identifies market momentum shifts through key crossovers like the Golden Cross, Death Cross, Silver Cross, and Hospice Cross. Recession Shading: Marks known recessions for historical context. Economic Factors Considered : TIP (Treasury Inflation-Protected Securities): Reflects inflation expectations. Gold: A safe-haven asset, increases in weight during volatility or rising momentum. US Dollar Index (DXY): Measures USD strength, fixed weight of 10%, smoothed with EMA. Commodities (DBC): Indicates global demand; weight increases with momentum or volatility. Volatility Index (VIX): Reflects market risk, inversely related to market confidence. Stock Indices (S&P 500, DJIA, NASDAQ, Russell 2000): Represent market performance, with weights reduced during high volatility or negative yield spread. Yield Spread (10Y - 2Y Treasuries): Predicts recessions; negative spread reduces stock weighting. Credit Spread (HYG - TLT): Indicates market risk through corporate vs. government bond yields. How and Why Factors are Weighted: Stock Indices get more weight in stable markets (low VIX, positive yield spread), while safe-haven assets like gold and bonds gain weight in volatile markets or during yield curve inversions. This dynamic adjustment ensures the composite reflects current market sentiment. Technical Signals: Golden Cross: 50 EMA crossing above 200 SMA, signaling bullish momentum. Death Cross: 50 EMA below 200 SMA, indicating bearish momentum. Silver Cross: 21 EMA crossing above 50 EMA, plotted only if below the 200-day SMA, signaling potential upside in downtrend conditions. Hospice Cross: 50 EMA crosses below 21 EMA, plotted only if 21 EMA is below 200 SMA, a leading bearish signal. Recession Shading: Recession periods like the Great Recession, Early 2000s Recession, and COVID-19 Recession are shaded to provide historical context. Benefits of Using This Indicator: Comprehensive Analysis: Combines economic fundamentals and technical analysis for a full market view. Dynamic Risk Adjustment: Weights shift between growth and safe-haven assets based on volatility and recession risk. Early Signals: The Silver Cross and Hospice Cross provide early warnings of potential market shifts. Recession Forecasting: Helps predict downturns through the yield curve and recession indicators. Who Can Benefit: Traders: Identify market momentum shifts early through crossovers. Long-term Investors: Use recession warnings and dynamic adjustments to protect portfolios. Analysts: A holistic tool for analyzing both economic trends and market movements. This indicator helps users navigate varying market conditions by dynamically adjusting based on economic factors and providing early technical signals for market momentum shifts.
Pine Script® インジケーター
bigcitytomの投稿
1
Temporal Value Tracker: Inception-to-Present Inflation Lens!What we're looking at here is a chart that does more than just display the price of gold. It offers us a time-traveling perspective on value. The blue line, that's our nominal price—it's the straightforward market price of gold over time. But it's the red line that takes us on a deeper journey. This line adjusts the nominal price for inflation, showing us the real purchasing power of gold. Now, when we talk about 'real value,' we're not just philosophizing. We're anchoring our prices to a point in time when the journey began—let's say when gold trading started on the markets, or any inception point we choose. By 'shadowing' certain years—say, from the 1970s when the gold standard was abandoned—we can adjust this chart to reflect what the inflation-adjusted price means since that key moment in history. By doing so, we're effectively isolating our view to start from that pivotal year, giving us insight into how gold, or indeed any asset, has held up against the backdrop of economic changes, policy shifts, and the inevitable rise in the cost of living. If you're analyzing a stock index like the S&P 500, you might begin your inflation-adjusted view from the index's inception date, which allows you to measure the true growth of the market basket from the moment it started. This adjustment isn't just academic. It influences how we perceive value and growth. Consider a period where the nominal price skyrockets. We might toast to our brilliance in investment! But if the inflation-adjusted line lags, what we're seeing is nominal growth without real gains. On the other hand, if our red line outpaces the blue even during stagnant market periods, we're witnessing real growth—our asset is outperforming the eroding effects of inflation. Every asset class can be evaluated this way. Stocks, bonds, real estate—they all have their historical narratives, and inflation adjustment tells us if these stories are tales of genuine growth or illusions masked by inflation. So, as informed traders and investors, we need to keep our eyes on this inflation-adjusted line. It's our measure against the silent thief that is inflation. It ensures we're not just keeping up with the Joneses of the market, but actually outpacing them, building real wealth over time
Pine Script® インジケーター
TAS1TheActualSnailの投稿
CE - Market Performance TableThe 𝓜𝓪𝓻𝓴𝓮𝓽 𝓟𝓮𝓻𝓯𝓸𝓻𝓶𝓪𝓷𝓬𝓮 𝓣𝓪𝓫𝓵𝓮 is a sophisticated market tool designed to provide valuable insights into the current market trends and the approximate current position in the Macroeconomic Regime. Furthermore the 𝓜𝓪𝓻𝓴𝓮𝓽 𝓟𝓮𝓻𝓯𝓸𝓻𝓶𝓪𝓷𝓬𝓮 𝓣𝓪𝓫𝓵𝓮 provides the Correlation Implied Trend for the Asset on the Chart. Lastly it provides information about current "RISK ON" or "RISK OFF" periods. Methodology: 𝓜𝓪𝓻𝓴𝓮𝓽 𝓟𝓮𝓻𝓯𝓸𝓻𝓶𝓪𝓷𝓬𝓮 𝓣𝓪𝓫𝓵𝓮 tracks the 15 underlying Stock ETF's to identify their performance and puts the combined performances together to visualize 42MACRO's GRID Equity Model. For this it uses the below ETF's: Dividends (SPHD) Low Beta (SPLV) Quality (QUAL) Defensives (DEF) Growth (IWF) High Beta (SPHB) Cyclicals (IYT, IWN) Value (IWD) Small Caps (IWM) Mid Caps (IWR) Mega Cap Growth (MGK) Size (OEF) Momentum (MTUM) Large Caps (IWB) Overall Settings: The main time values you want to change are: Correlation Length - Defines the time horizon for the Correlation Table ROC Period - Defines the time horizon for the Performance Table Normalization lookback - Defines the time horizon for the Trend calculation of the ETF's - For longer term Trends over weeks or months a length of 50 is usually pretty accurate Visuals: There is a variety of options to change the visual settings of what is being plotted and the two table positions and additional considerations. Everything that is relevant in the underlying logic that can help comprehension can be visualized with these options. Market Correlation: The Market Correlation Table takes the Correlation of the above ETF's to the Asset on the Chart, it furthermore uses the Normalized KAMA Oscillator by IkkeOmar to analyse the current trend of every single ETF. It then Implies a Correlation based on the Trend and the Correlation to give a probabilistically adjusted expectation for the future Chart Asset Movement. This is strengthened by taking the average of all Implied Trends. With this the Correlation Table provides valuable insights about probabilistically likely Movement of the Asset, for Traders and Investors alike, over the defined time duration. Market Performance: 𝓜𝓪𝓻𝓴𝓮𝓽 𝓟𝓮𝓻𝓯𝓸𝓻𝓶𝓪𝓷𝓬𝓮 𝓣𝓪𝓫𝓵𝓮 is the actual valuable part of this Indicator. It provides valuable information about the current market environment (whether it's risk on or risk off), the rough GRID models from 42MACRO and the actual market performance. This allows you to obtain a deeper understanding of how the market works and makes it simple to identify the actual market direction. Utility: The 𝓜𝓪𝓻𝓴𝓮𝓽 𝓟𝓮𝓻𝓯𝓸𝓻𝓶𝓪𝓷𝓬𝓮 𝓣𝓪𝓫𝓵𝓮 is divided in 4 Sections which are the GRID regimes: Economic Growth: Goldilocks Reflation Economic Contraction: Inflation Deflation Top 5 Equity Style Factors: Are the values green for a specific Column? If so then the market reflects the corresponding GRID behavior. Bottom 5 Equity Style Factors: Are the values red for a specific Column? If so then the market reflects the corresponding GRID behavior. So if we have Goldilocks as current regime we would see green values in the Top 5 Goldilocks Cells and red values in the Bottom 5 Goldilocks Cells. You will find that Reflation will look similar, as it is also a sign of Economic Growth. Same is the case for the two Contraction regimes.
Pine Script® インジケーター
Celestial-Eyeの投稿
3
MathConstantsLibrary "MathConstants" Mathematical Constants E() The number e Log2E() The number log (e) Log10E() The number log (e) Ln2() The number log (2) Ln10() The number log (10) LnPi() The number log (pi) Ln2PiOver2() The number log (2*pi)/2 InvE() The number 1/e SqrtE() The number sqrt(e) Sqrt2() The number sqrt(2) Sqrt3() The number sqrt(3) Sqrt1Over2() The number sqrt(1/2) = 1/sqrt(2) = sqrt(2)/2 HalfSqrt3() The number sqrt(3)/2 Pi() The number pi Pi2() The number pi*2 PiOver2() The number pi/2 Pi3Over2() The number pi*3/2 PiOver4() The number pi/4 SqrtPi() The number sqrt(pi) Sqrt2Pi() The number sqrt(2pi) SqrtPiOver2() The number sqrt(pi/2) Sqrt2PiE() The number sqrt(2*pi*e) LogSqrt2Pi() The number log(sqrt(2*pi)) LogSqrt2PiE() The number log(sqrt(2*pi*e)) LogTwoSqrtEOverPi() The number log(2 * sqrt(e / pi)) InvPi() The number 1/pi TwoInvPi() The number 2/pi InvSqrtPi() The number 1/sqrt(pi) InvSqrt2Pi() The number 1/sqrt(2pi) TwoInvSqrtPi() The number 2/sqrt(pi) TwoSqrtEOverPi() The number 2 * sqrt(e / pi) Degree() The number (pi)/180 - factor to convert from Degree (deg) to Radians (rad). Grad() The number (pi)/200 - factor to convert from NewGrad (grad) to Radians (rad). PowerDecibel() The number ln(10)/20 - factor to convert from Power Decibel (dB) to Neper (Np). Use this version when the Decibel represent a power gain but the compared values are not powers (e.g. amplitude, current, voltage). NeutralDecibel() The number ln(10)/10 - factor to convert from Neutral Decibel (dB) to Neper (Np). Use this version when either both or neither of the Decibel and the compared values represent powers. Catalan() The Catalan constant Sum(k=0 -> inf){ (-1)^k/(2*k + 1)2 } EulerMascheroni() The Euler-Mascheroni constant lim(n -> inf){ Sum(k=1 -> n) { 1/k - log(n) } } GoldenRatio() The number (1+sqrt(5))/2, also known as the golden ratio Glaisher() The Glaisher constant e^(1/12 - Zeta(-1)) Khinchin() The Khinchin constant prod(k=1 -> inf){1+1/(k*(k+2))^log(k,2)}
Pine Script® ライブラリ
RicardoSantosの投稿
3
Harmonic Super GuppyHarmonic Super Guppy – Harmonic & Golden Ratio Trend Analysis Framework Overview Harmonic Super Guppy is a comprehensive trend analysis and visualization tool that evolves the classic Guppy Multiple Moving Average (GMMA) methodology, pioneered by Daryl Guppy to visualize the interaction between short-term trader behavior and long-term investor trends. into a harmonic and phase-based market framework. By combining harmonic weighting, golden ratio phasing, and multiple moving averages, it provides traders with a deep understanding of market structure, momentum, and trend alignment. Fast and slow line groups visually differentiate short-term trader activity from longer-term investor positioning, while adaptive fills and dynamic coloring clearly illustrate trend coherence, expansion, and contraction in real time. Traditional GMMA focuses primarily on moving average convergence and divergence. Harmonic Super Guppy extends this concept, integrating frequency-aware harmonic analysis and golden ratio modulation, allowing traders to detect subtle cyclical forces and early trend shifts before conventional moving averages would react. This is particularly valuable for traders seeking to identify early trend continuation setups, preemptive breakout entries, and potential trend exhaustion zones. The indicator provides a multi-dimensional view, making it suitable for scalping, intraday trading, swing setups, and even longer-term position strategies. The visual structure of Harmonic Super Guppy is intentionally designed to convey trend clarity without oversimplification. Fast lines reflect short-term trader sentiment, slow lines capture longer-term investor alignment, and fills highlight compression or expansion. The adaptive color coding emphasizes trend alignment: strong green for bullish alignment, strong red for bearish, and subtle gray tones for indecision. This allows traders to quickly gauge market conditions while preserving the granularity necessary for sophisticated analysis. How It Works Harmonic Super Guppy uses a combination of harmonic averaging, golden ratio phasing, and adaptive weighting to generate its signals. Harmonic Weighting : Each moving average integrates three layers of harmonics: Primary harmonic captures the dominant cyclical structure of the market. Secondary harmonic introduces a complementary frequency for oscillatory nuance. Tertiary harmonic smooths higher-frequency noise while retaining meaningful trend signals. Golden Ratio Phase : Phases of each harmonic contribution are adjusted using the golden ratio (default φ = 1.618), ensuring alignment with natural market rhythms. This reduces lag and allows traders to detect trend shifts earlier than conventional moving averages. Adaptive Trend Detection : Fast SMAs are compared against slow SMAs to identify structural trends: UpTrend : Fast SMA exceeds slow SMA. DownTrend : Fast SMA falls below slow SMA. Frequency Scaling : The wave frequency setting allows traders to modulate responsiveness versus smoothing. Higher frequency emphasizes short-term moves, while lower frequency highlights structural trends. This enables adaptation across asset classes with different volatility characteristics. Through this combination, Harmonic Super Guppy captures micro and macro market cycles, helping traders distinguish between transient noise and genuine trend development. The multi-harmonic approach amplifies meaningful price action while reducing false signals inherent in standard moving averages. Interpretation Harmonic Super Guppy provides a multi-dimensional perspective on market dynamics: Trend Analysis : Alignment of fast and slow lines reveals trend direction and strength. Expanding harmonics indicate momentum building, while contraction signals weakening conditions or potential reversals. Momentum & Volatility : Rapid expansion of fast lines versus slow lines reflects short-term bullish or bearish pressure. Compression often precedes breakout scenarios or volatility expansion. Traders can quickly gauge trend vigor and potential turning points. Market Context : The indicator overlays harmonic and structural insights without dictating entry or exit points. It complements order blocks, liquidity zones, oscillators, and other technical frameworks, providing context for informed decision-making. Phase Divergence Detection : Subtle divergence between harmonic layers (primary, secondary, tertiary) often signals early exhaustion in trends or hidden strength, offering preemptive insight into potential reversals or sustained continuation. By observing both structural alignment and harmonic expansion/contraction, traders gain a clear sense of when markets are trending with conviction versus when conditions are consolidating or becoming unpredictable. This allows for proactive trade management, rather than reactive responses to lagging indicators. Strategy Integration Harmonic Super Guppy adapts to various trading methodologies with clear, actionable guidance. Trend Following : Enter positions when fast and slow lines are aligned and harmonics are expanding. The broader the alignment, the stronger the confirmation of trend persistence. For example: A fast line crossover above slow lines with expanding fills confirms momentum-driven continuation. Traders can use harmonic amplitude as a filter to reduce entries against prevailing trends. Breakout Trading : Periods of line compression indicate potential volatility expansion. When fast lines diverge from slow lines after compression, this often precedes breakouts. Traders can combine this visual cue with structural supports/resistances or order flow analysis to improve timing and precision. Exhaustion and Reversals : Divergences between harmonic components, or contraction of fast lines relative to slow lines, highlight weakening trends. This can indicate liquidity exhaustion, trend fatigue, or corrective phases. For example: A flattening fast line group above a rising slow line can hint at short-term overextension. Traders may use these signals to tighten stops, take partial profits, or prepare for contrarian setups. Multi-Timeframe Analysis : Overlay slow lines from higher timeframes on lower timeframe charts to filter noise and trade in alignment with larger market structures. For example: A daily bullish alignment combined with a 15-minute breakout pattern increases probability of a successful intraday trade. Conversely, a higher timeframe divergence can warn against taking counter-trend trades in lower timeframes. Adaptive Trade Management : Harmonic expansion/contraction can guide dynamic risk management: Stops may be adjusted according to slow line support/resistance or harmonic contraction zones. Position sizing can be modulated based on harmonic amplitude and compression levels, optimizing risk-reward without rigid rules. Technical Implementation Details Harmonic Super Guppy is powered by a multi-layered harmonic and phase calculation engine: Harmonic Processing : Primary, secondary, and tertiary harmonics are calculated per period to capture multiple market cycles simultaneously. This reduces noise and amplifies meaningful signals. Golden Ratio Modulation : Phase adjustments based on φ = 1.618 align harmonic contributions with natural market rhythms, smoothing lag and improving predictive value. Adaptive Trend Scaling : Fast line expansion reflects short-term momentum; slow lines provide structural trend context. Fills adapt dynamically based on alignment intensity and harmonic amplitude. Multi-Factor Trend Analysis : Trend strength is determined by alignment of fast and slow lines over multiple bars, expansion/contraction of harmonic amplitudes, divergences between primary, secondary, and tertiary harmonics and phase synchronization with golden ratio cycles. These computations allow the indicator to be highly responsive yet smooth, providing traders with actionable insights in real time without overloading visual complexity. Optimal Application Parameters Asset-Specific Guidance: Forex Majors : Wave frequency 1.0–2.0, φ = 1.618–1.8 Large-Cap Equities : Wave frequency 0.8–1.5, φ = 1.5–1.618 Cryptocurrency : Wave frequency 1.2–3.0, φ = 1.618–2.0 Index Futures : Wave frequency 0.5–1.5, φ = 1.618 Timeframe Optimization: Scalping (1–5min) : Emphasize fast lines, higher frequency for micro-move capture. Day Trading (15min–1hr) : Balance fast/slow interactions for trend confirmation. Swing Trading (4hr–Daily) : Focus on slow lines for structural guidance, fast lines for entry timing. Position Trading (Daily–Weekly) : Slow lines dominate; harmonics highlight long-term cycles. Performance Characteristics High Effectiveness Conditions: Clear separation between short-term and long-term trends. Moderate-to-high volatility environments. Assets with consistent volume and price rhythm. Reduced Effectiveness: Flat or extremely low volatility markets. Erratic assets with frequent gaps or algorithmic dominance. Ultra-short timeframes (<1min), where noise dominates. Integration Guidelines Signal Confirmation : Confirm alignment of fast and slow lines over multiple bars. Expansion of harmonic amplitude signals trend persistence. Risk Management : Place stops beyond slow line support/resistance. Adjust sizing based on compression/expansion zones. Advanced Feature Settings : Frequency tuning for different volatility environments. Phase analysis to track divergences across harmonics. Use fills and amplitude patterns as a guide for dynamic trade management. Multi-timeframe confirmation to filter noise and align with structural trends. Disclaimer Harmonic Super Guppy is a trend analysis and visualization tool, not a guaranteed profit system. Optimal performance requires proper wave frequency, golden ratio phase, and line visibility settings per asset and timeframe. Traders should combine the indicator with other technical frameworks and maintain disciplined risk management practices.
Pine Script® インジケーター
BOSWavesの投稿
RenKagi Fusion: Aura & SMA Clash IndicatorRenKagi Fusion: Aura & SMA Clash Indicator Welcome to the RenKagi Fusion Indicator – a powerful, customizable tool that blends the strengths of Renko and Kagi charts to provide noise-filtered trend insights, enhanced with visual Aura effects and SMA (Simple Moving Average) crossover signals. Designed for traders seeking a unique edge in trend detection and reversal identification, this indicator combines traditional charting techniques with modern visualizations to help you navigate markets more effectively. Whether you're trading stocks, forex, or crypto, RenKagi Fusion offers a clean, actionable overview of market dynamics. Key Features RenKagi Line (Weighted Fusion of Renko and Kagi): The core of the indicator is the RenKagi line, a weighted average of Renko (brick-based trend filtering) and Kagi (reversal-focused line charts). Users can adjust the weight (default: 60% Renko, 40% Kagi) to prioritize stability or sensitivity. This fusion reduces market noise while highlighting key price movements. Trend Scoring System: Calculates strength scores for Renko, Kagi, and RenKagi (capped at 20 points, converted to percentages). Scores increase with trend continuation and reset on reversals, giving a quantitative measure of momentum. Aura Effects (Optional): Visual "glow" around lines based on score percentage – higher scores mean more opaque and thicker auras, adding a dynamic layer to trend visualization. SMA Clash (Crossover Detection): Monitors daily SMA50, SMA100, and SMA200 for golden/death crosses (SMA50 crossing above/below longer SMAs) and RenKagi-SMA crossovers. These are displayed in a persistent info table for quick reference. Customizable Visuals: Toggle lines, boxes, shapes, auras, and labels. Background coloring based on selected source (Renko, Kagi, or RenKagi) for intuitive trend bias. Info Table: A configurable table (position and colors adjustable) summarizing scores, directions, cross states, brick size (with type), Kagi reversal (with type), and weights. No clutter – all in one place. Alert Conditions: Built-in alerts for direction changes (Renko, Kagi, RenKagi), SMA crossovers, and golden/death crosses – perfect for real-time notifications. How It Works Renko Logic: Builds bricks based on user-selected type (Traditional fixed size, ATR dynamic, or Percentage). Scores build as trends persist, resetting on reversals. Kagi Logic: Line reverses on thresholds (Traditional, ATR, or Percentage), scoring continuous moves. RenKagi Calculation: Weighted average: (renkoPrice * renkoWeight + kagiLine * (100 - renkoWeight)) / 100. Score is a blend of individual scores. SMA Integration: Daily timeframe SMAs for reliable long-term signals. Crossovers trigger alerts and update table states persistently until reversed. Advantages for Traders Noise Reduction: By fusing Renko's block structure with Kagi's reversal focus, it filters out minor fluctuations, helping identify strong trends early. Versatility: Fully customizable – adjust weights, types, and visuals to fit any market or timeframe. Ideal for swing trading, trend following, or scalping. Visual Clarity: Aura and background coloring provide at-a-glance insights, while the table consolidates data without overwhelming the chart. Actionable Signals: Golden/Death crosses and direction changes offer clear entry/exit points, backed by alerts for timely execution. Performance Optimization: Limits on lines/labels/boxes (500 each) ensure smooth operation on large datasets. Usage Tips Start with default settings for balanced performance. Use in higher timeframes for trend confirmation or lower for intraday signals. Combine with your favorite strategies – e.g., buy on RenKagi upward cross with SMA50 and golden cross confirmation. Test on historical data to optimize weights and thresholds. Note: This indicator is for educational and informational purposes only. Past performance is not indicative of future results. Always conduct your own analysis and use risk management. No financial advice is provided. If you find this useful, please like, comment, or share your feedback!
Pine Script® インジケーター
IQ-TRADERの投稿
Swing Oracle Stock 2.0- Gradient Enhanced# 🌈 Swing Oracle Pro - Advanced Gradient Trading Indicator **Transform your technical analysis with stunning gradient visualizations that make market trends instantly recognizable.** ## 🚀 **What Makes This Indicator Special?** The **Swing Oracle Pro** revolutionizes traditional technical analysis by combining advanced NDOS (Normalized Distance from Origin of Source) calculations with a sophisticated gradient color system. This isn't just another indicator—it's a complete visual trading experience that adapts colors based on market strength, making trend identification effortless and intuitive. ## 🎨 **10 Professional Gradient Themes** Choose from carefully crafted color schemes designed for optimal visual clarity: - **🌅 Sunset** - Warm oranges and purples for classic elegance - **🌊 Ocean** - Cool blues and teals for calm analysis - **🌲 Forest** - Natural greens and browns for organic feel - **✨ Aurora** - Ethereal greens and magentas for mystique - **⚡ Neon** - Vibrant electric colors for high-energy trading - **🌌 Galaxy** - Deep purples and cosmic hues for night sessions - **🔥 Fire** - Intense reds and golds for volatile markets - **❄️ Ice** - Cool whites and blues for clear-headed decisions - **🌈 Rainbow** - Full spectrum for comprehensive analysis - **⚫ Monochrome** - Professional grays for focused trading ## 📊 **Core Features** ### **Advanced NDOS System** - Normalized Distance from Origin of Source calculation with 231-period length - Smoothed with customizable EMA for reduced noise - Multi-timeframe confirmation with H1 filter option - Dynamic gradient coloring based on oscillator position ### **Intelligent Visual Feedback** - **Primary Gradient Line** - Main NDOS plot with dynamic color transitions - **Gradient Fill Zones** - Beautiful color-coded areas for bullish, neutral, and bearish regions - **Smart Transparency** - Colors adjust intensity based on market volatility - **Dynamic Backgrounds** - Subtle gradient backgrounds that respond to market conditions ### **Enhanced EMA Projection System** - 75/760 period EMA normalization with 50-period lookback - Gradient-colored projection line for trend forecasting - Toggleable display with advanced gradient controls - Price tracking for precise level identification ### **Multi-Timeframe Analysis Table** - Real-time trend analysis across 6 timeframes (1m, 3m, 5m, 15m, 1H, 4H) - Gradient-colored cells showing trend strength - Customizable table size and position - Professional emoji indicators (🚀 UP, 📉 DOWN, ➡️ FLAT) ### **Signal System** - **Gradient Buy Signals** - Triangle up arrows with intensity-based coloring - **Gradient Sell Signals** - Triangle down arrows with strength indicators - **Alert Conditions** - Built-in alerts for all signal types - **7-Day Cycle Tracking** - Tuesday-to-Tuesday weekly cycle visualization ## ⚙️ **Customization Controls** ### **🎨 Gradient Controls** - **Gradient Intensity** - Adjust color vibrancy (0.1-1.0) - **Gradient Smoothing** - Control color transition smoothness (1-10 periods) - **Dynamic Background** - Toggle animated background gradients - **Advanced Gradients** - Enable/disable EMA projection and enhanced features ### **🛠️ Custom Color System** - **Bullish Colors** - Define custom start/end colors for bull markets - **Bearish Colors** - Set personalized bear market gradients - **Full Theme Override** - Create completely custom color schemes - **Real-time Preview** - See changes instantly on your chart ## 📈 **How to Use** 1. **Choose Your Theme** - Select from 10 professional gradient themes 2. **Configure Levels** - Adjust high/low levels (default 60/40) for your timeframe 3. **Set Smoothing** - Fine-tune gradient smoothing for your trading style 4. **Enable Features** - Toggle background gradients, candlestick coloring, and advanced EMA projection 5. **Monitor Signals** - Watch for gradient buy/sell arrows and multi-timeframe confirmations ## 🎯 **Trading Applications** - **Swing Trading** - Perfect for identifying medium-term trend changes - **Scalping** - Multi-timeframe table provides quick trend confirmation - **Position Sizing** - Gradient intensity shows signal strength for risk management - **Market Analysis** - Beautiful visualizations make complex data instantly understandable - **Education** - Ideal for learning market dynamics through visual feedback ## ⚡ **Performance Optimized** - **Smart Rendering** - Colors update only on significant changes - **Efficient Calculations** - Optimized algorithms for smooth performance - **Memory Management** - Minimal resource usage even with complex gradients - **Real-time Updates** - Responsive to market changes without lag ## 🚨 **Alert System** Built-in alert conditions notify you when: - NDOS crosses above high level (Buy Signal) - NDOS crosses below low level (Sell Signal) - Multi-timeframe confirmations align - Customizable alert messages with emoji indicators ## 🔧 **Technical Specifications** - **PineScript Version**: v6 (Latest) - **Overlay**: True (plots on main chart) - **Calculations**: NDOS, EMA normalization, volatility-based transparency - **Timeframes**: Compatible with all timeframes - **Markets**: Stocks, Forex, Crypto, Commodities, Indices ## 💡 **Why Choose Swing Oracle Pro?** This isn't just another technical indicator—it's a complete visual transformation of your trading experience. The gradient system provides instant visual feedback that traditional indicators simply can't match. Whether you're a beginner learning to read market trends or an experienced trader seeking clearer signals, the Swing Oracle Pro delivers professional-grade analysis with unprecedented visual clarity. **Experience the future of technical analysis. Your charts will never look the same.** --- *⚠️ Disclaimer: This indicator is for educational and informational purposes only. Past performance does not guarantee future results. Always conduct your own research and consider risk management before making trading decisions.* **🔔 Like this indicator? Please leave a comment and boost! Your feedback helps improve future updates.** --- **📝 Tags:** #GradientTrading #SwingTrading #NDOS #MultiTimeframe #TechnicalAnalysis #VisualTrading #TrendAnalysis #ColorCoded #ProfessionalCharts #TradingToo
Pine Script® インジケーター
FollowtheWhiteRabbitzの投稿
HUll Dynamic BandEducational Hull Moving Average Wave Analysis Tool **MARS** is an innovative educational indicator that combines multiple Hull Moving Average timeframes to create a comprehensive wave analysis system, similar in concept to Ichimoku Cloud but with enhanced smoothness and responsiveness. --- 🎯 Key Features **Triple Wave System** - **Peak Wave (34-period)**: Fast momentum signals, similar to Ichimoku's Conversion Line - **Primary Wave (89-period)**: Main trend identification with retest detection - **Swell Wave (178-period)**: Long-term trend context and major wave analysis **Visual Wave Analysis** - **Wave Power Fill**: Dynamic area between primary and swell waves showing trend strength - **Peak Power Fill**: Short-term momentum visualization - **Smooth Curves**: Hull MA-based calculations provide cleaner signals than traditional moving averages **Intelligent Signal System** - **Trend Shift Signals**: Clear visual markers when trend changes occur - **Retest Detection**: Identifies potential retest opportunities with specific conditions - **Correction Alerts**: Early warning signals for market corrections --- 📊 How It Works The indicator uses **Hull Moving Averages** with **Fibonacci-based periods** (34, 89, 178) and a **Golden Ratio multiplier (1.64)** to create natural market rhythm analysis. **Key Signal Types:** - 🔵 **Circles**: Major trend shifts (primary wave crossovers) - 💎 **Diamonds**: Retest opportunities with multi-wave confirmation - ❌ **X-marks**: Correction signals and structural breaks - 🌊 **Wave Fills**: Visual trend strength and direction --- 🎓 Educational Purpose This indicator demonstrates: - Advanced moving average techniques using Hull MA - Multi-timeframe analysis in a single view - Wave theory application in technical analysis - Dynamic support/resistance concept visualization **Similar to Ichimoku but Different:** - Ichimoku uses price-based calculations → Angular cloud shapes - MARS uses weighted averages → Smooth, flowing wave patterns - Both identify trend direction, but MARS offers faster signals with cleaner visualization --- ⚙️ Customizable Settings - **Wave Periods**: Adjust primary wave length (default: 89) - **Multipliers**: Fine-tune wave sensitivity (default: 1.64 Golden Ratio) - **Visual Style**: Customize line widths and signal displays - **Peak Analysis**: Independent fast signal system (default: 34) --- 🔍 Usage Tips 1. **Trend Identification**: Watch wave fill colors and line positions 2. **Entry Timing**: Look for retest diamonds after trend shift circles 3. **Risk Management**: Use wave boundaries as dynamic support/resistance 4. **Confirmation**: Combine with price action and market structure analysis --- ⚠️ Important Notes - **Educational Tool**: Designed for learning wave analysis concepts - **Not Financial Advice**: Always use proper risk management - **Backtesting Recommended**: Test on historical data before live trading - **Combine with Analysis**: Works best with additional confirmation methods --- 🚀 Innovation MARS represents a unique approach to wave analysis by: - Combining Hull MA smoothness with Ichimoku-style visualization - Providing multi-timeframe analysis without chart clutter - Offering retest detection with specific wave conditions - Creating an educational bridge between different analytical methods --- *This indicator is shared for educational purposes to help traders understand advanced moving average techniques and wave analysis concepts. Always practice proper risk management and combine with your own analysis.*
Pine Script® インジケーター
RUpwardの投稿
8MA Compass — HTF map + GC/DC cues8MA Compass provides a clean trend context by combining strict 4-of-4 confluence (Current TF vs Higher TF) with SMA200 repainting on Golden/Death Cross (GC/DC). What it shows 4-of-4 background (context): compares EMA10, EMA20, SMA50, SMA200 on the Current TF against the same four MAs on the Higher TF (HTF). All 4 above their HTF values → bullish background. All 4 below their HTF values → bearish background. SMA200 color on GC/DC (Current TF): Last signal is DC and price below SMA200 → SMA200 turns red. Price above SMA200 but the last signal is DC (no GC afterward) → SMA200 stays base color. Last signal is GC and price above SMA200 → SMA200 turns green #089981. Why “8MA” ? The 4-of-4 logic uses 8 moving averages in total: 4 on the Current TF and 4 on the HTF (EMA10/20 and SMA50/200 on both frames). HTF EMAs are used in calculations but are not plotted by default—hence the name 8MA Compass. Auto HTF mapping Current 1H → HTF 4H Current 4H → HTF 1D Current 1D → HTF 1W All other timeframes: HTF defaults to Current TF (4-of-4 will typically be neutral). Manual mode: choose any HTF. If Manual HTF equals Current TF, HTF SMAs are hidden to avoid overlap. Settings 1. Display Show CURRENT TF — plot EMA10/20, SMA50/200 on Current TF. Show HARD TF — plot SMA50/200 on HTF (hidden if HTF == Current TF). HTF mode — Auto / Manual, with Hard TF (Manual) selector. 2. Filter Show base background (4-of-4) — enable/disable confluence shading. Epsilon (in ticks) — small tolerance in Cur vs HTF comparisons to reduce flicker. 3. Golden/Death Color SMA200 on GC/DC (Cur TF) — repaint SMA200 on GC/DC per rules above (enabled by default). Alerts GC/DC (Current TF, SMA50/200): Golden Cross / Death Cross (on bar close). EMA10/20 (Current TF): “Bull regime ON” / “Bear regime ON” on crossovers. Optional HTF GC/DC alerts (SMA50/200 on chosen HTF). Visual details HTF SMA50/200 are drawn first; Current TF lines are drawn on top for clarity. SMA200 (Current TF) is drawn last (and slightly thicker) to remain readable. HTF EMAs are used in 4-of-4 logic but not plotted by design. Usage 1. Use the 4-of-4 background as inter-timeframe momentum context. 2. Use SMA200 color to gauge long-term regime confirmation: Prefer longs when last GC and price holds above SMA200 (#089981 line). Avoid longs when last DC and price is below SMA200 (red line). Disclaimer : For educational purposes only. Not financial advice. Trading involves risk.
Pine Script® インジケーター
trading_muraの投稿