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Strategy Bias Dashboard📘 Strategy Bias Dashboard (Bullish, Bearish, Sideways) Overview This script provides a Bias Dashboard that helps traders quickly evaluate whether the current market condition is Bullish, Bearish, Sideways, or All. The dashboard is displayed in a styled table with configurable filters, showing market trend, strength, and volatility in a clean format. It’s designed for NIFTY, BANKNIFTY, and other liquid instruments, and can be applied on any timeframe, while calculations are based on Daily ATR for consistency. ✨ Features 🔎 Bias Selection Filter → Choose to view only Bullish, Bearish, Sideways, or All conditions. 📊 Dynamic Table → Automatically redraws whenever bias is changed, avoiding empty rows or holes. 🎨 Readable Table Layout → Compact fonts, bold headers, and color-coded cells for clarity. 📈 Trend & Strength Calculation → Uses ADX, RSI, and moving averages to classify trend quality. ⚡ ATR% Volatility → Normalized ATR as % of price, giving a volatility snapshot. 🧩 Strategy Suggestions → Displays best-suited F&O strategies (Credit Spread, Strangle, Iron Condor, Iron Butterfly) depending on bias. 🔔 Real-Time Updates → Table updates dynamically with live data from the chart. 📐 How It Works Trend Detection EMA crossovers and RSI bias identify bullish vs. bearish conditions. Weak trend + low ADX = Sideways bias. Strength Measurement ADX is used to classify weak, moderate, and strong trends. RSI confirms direction and momentum. ATR % Volatility Daily ATR normalized by price helps identify whether credit spreads or wider strangles are suitable. Dashboard Rendering A top-right aligned table shows the filtered rows. Redraw occurs when bias is changed, keeping the table compact. ⚙️ User Inputs Bias Filter → Select All, Bullish, Bearish, Sideways. Timeframe → Default is current chart timeframe. Volume Confirmation → Optional filter to check volume spikes. Table Position → Fixed to top-right for visibility. 📊 Example Output Bias Trend Strength ATR% Best Strategy Bullish Uptrend Strong 1.2% Bull Put Spread Bearish Downtrend Moderate 1.4% Bear Call Spread Sideways Neutral Weak 0.6% Iron Condor ✅ Best Use Cases Intraday & Swing traders who want quick bias confirmation. Options traders selecting credit strategies based on volatility and bias. Portfolio managers tracking broader market bias on indices. ⚠️ Disclaimer This script is provided for educational purposes only. It does not constitute financial advice and should not be used as the sole basis for investment decisions. Trading involves risk, and you are solely responsible for your own trades.
Wskaźnik Pine Script®
od joyfulChilli
Pullback Confirma**📈 Pullback Strategy with Candle Confirmation** **🎯 Objective:** Identify ideal entry points during pullbacks in trends, using the simultaneous crossover of two moving averages with candle confirmation. **📊 Indicators Used:** - **Hull Moving Average (HMA):** Period 27 - fast and smoothed average that reduces lag - **Simple Moving Average (SMA):** Period 11 - short-term average for additional confirmation **⚡ Strategy Logic:** **🔹 Conditions for BUY SIGNAL:** 1. **Double Crossover:** Price crosses above both HMA 27 and SMA 11 simultaneously 2. **Pullback:** Price must be near or touching HMA 27 (return-to-average condition) 3. **Confirmation:** On the next candle, it must be a BULLISH candle closing above both averages **🔸 Conditions for SELL SIGNAL:** 1. **Double Crossover:** Price crosses below both HMA 27 and SMA 11 simultaneously 2. **Pullback:** Price must be near or touching HMA 27 3. **Confirmation:** On the next candle, it must be a BEARISH candle closing below both averages **🎨 Chart Visualization:** - **● Blue Circle:** Upward crossover detected (awaiting confirmation) - **● Orange Circle:** Downward crossover detected (awaiting confirmation) - **▲ Green Arrow:** Confirmed buy (after confirmation candle) - **▼ Red Arrow:** Confirmed sell (after confirmation candle) - **Colored Lines:** HMA (blue) and SMA (orange) plotted on the chart **⚙️ Customization:** - Adjustable average periods - Customizable arrow colors - Configurable alerts for each confirmed signal **✅ Advantages:** - **Double Filter:** Two different averages for confirmation - **Candle Confirmation:** Eliminates premature signals - **Intuitive Visual:** Only shows arrows after valid confirmation - **Controlled Pullback:** Operates only on return-to-average movements **⏰ Recommended Timeframe:** Works on multiple timeframes, but particularly effective on M15, H1, and H4 to capture more significant movements. This strategy is ideal for traders looking for precise entries in consolidated trends, minimizing false signals through candle confirmation! 🚀
Wskaźnik Pine Script®
od digorethka
Dynamic Chandelier Exit Trader [KedArc Quant])Dynamic Chandelier Exit Trader (DCET) The Dynamic Chandelier Exit Trader (DCET) builds upon the classical Chandelier Exit indicator by combining volatility-based stop placement with risk-reward exit logic. It is designed to provide clear buy/sell flip signals, making it adaptable across multiple trading environments. Market Suitability The DCET is most effective under the following market conditions: 1. Trending Markets (Upward or Downward) - Strong performance when price is in a clear directional trend. - Buy signals align with uptrends, sell signals align with downtrends. - Works well on stocks, forex pairs, and crypto during trending phases. 2. Breakout Environments: - Captures moves when price breaks out of consolidations. - ATR-based stop dynamically adjusts to volatility expansion. - Effective for traders who like catching the first move after breakouts. 3. Sideways / Range-Bound Markets: - DCET tends to generate more frequent flip signals in sideways conditions. - May lead to whipsaws, but can still be used with reduced ATR length or by combining with a trend filter (e.g., moving average direction). 4. All Markets (with Adjustments): - Works universally but requires tuning. - In highly volatile markets (e.g., crypto), a higher ATR multiplier may reduce false signals. - In stable, slower-moving markets (e.g., large-cap equities), smaller ATR multipliers improve responsiveness.
Wskaźnik Pine Script®
od kedarcquant
1
Student wyckoff rs symbol/market v.2 Relative Strength Indicator Student wyckoff rs symbol/market v.2 Description The Relative Strength (RS) Indicator compares the price performance of the current financial instrument (e.g., a stock) against another instrument (e.g., an index or another stock). It is calculated by dividing the closing price of the first instrument by the closing price of the second, then multiplying by 100. This provides a percentage ratio that shows how one instrument outperforms or underperforms another. The indicator helps traders identify strong or weak assets, spot market leaders, or evaluate an asset’s performance relative to a benchmark. Key Features Relative Strength Calculation: Divides the closing price of the current instrument by the closing price of the second instrument and multiplies by 100 to express the ratio as a percentage. Simple Moving Average (SMA): Applies a customizable Simple Moving Average (default period: 14) to smooth the data and highlight trends. Visualization: Displays the Relative Strength as a blue line, the SMA as an orange line, and colors bars (blue for rising, red for falling) to indicate changes in relative strength. Flexibility: Allows users to select the second instrument via an input field and adjust the SMA period. Applications Market Comparison: Assess whether a stock is outperforming an index (e.g., S&P 500 or MOEX) to identify strong assets for investment. Sector Analysis: Compare stocks within a sector or against a sector ETF to pinpoint leaders. Trend Analysis: Use the rise or fall of the RS line and its SMA to gauge the strength of an asset’s trend relative to another instrument. Trade Timing: Bar coloring helps quickly identify changes in relative strength, aiding short-term trading decisions. Interpretation Rising RS: Indicates the first instrument is outperforming the second (e.g., a stock growing faster than an index). Falling RS: Suggests the first instrument is underperforming. SMA as a Trend Filter: If the RS line is above the SMA, it may signal strengthening performance; if below, weakening performance. Settings Instrument 2: Ticker of the second instrument (default: QQQ). SMA Period: Period for the Simple Moving Average (default: 14). Notes The indicator works on any timeframe but requires accurate ticker input for the second instrument. Ensure data for both instruments is available on the selected timeframe for precise analysis.
Wskaźnik Pine Script®
od StudentWyckoff
fieolouis - VSA Wyckoff Volume📌 VSA Wyckoff Volume – Enhanced Version This tool is built on the principles of Wyckoff + VSA (Volume Spread Analysis), helping traders quickly detect whale / Market Maker activity through volume classification. 🔹 Key Features: Classifies volume into multiple levels: Ultra High, Very High, High, Normal, Low. Integrated ATR-based filter to remove noise and highlight significant candles. Optional Volume MA line to track supply–demand trends. Easy to combine with Supply/Demand zones, Volume Profile, or Price Action to spot Accumulation – Distribution phases. 🔹 Practical Use Cases: Identify areas where whales accumulate before major moves. Detect distribution signals when abnormal volume appears at the top. Support entry – exit decisions in both short-term and mid-term trading with higher accuracy. This indicator works well for both spot and futures, especially when applied across multiple timeframes. 👉 If you’re looking for a tool to “track the footsteps of smart money,” this is a practical way to bring Wyckoff & VSA into your trading strategy.
Wskaźnik Pine Script®
od milamcminke9725
NY Sessions Boxes (Live Drawing)//@version=5 indicator("NY Sessions Boxes (Live Drawing)", overlay=true) ny_tz = "America/New_York" t = time(timeframe.period, ny_tz) hour_ny = hour(t) minute_ny = minute(t) // سشن ۱: 02:00 – 05:00 session1_active = (hour_ny >= 2 and hour_ny < 5) session1_start = (hour_ny == 2 and minute_ny == 0) // سشن ۲: 09:30 – 11:00 session2_active = ((hour_ny == 9 and minute_ny >= 30) or (hour_ny > 9 and hour_ny < 11)) session2_start = (hour_ny == 9 and minute_ny == 30) var box box1 = na var float hi1 = na var float lo1 = na if session1_start hi1 := high lo1 := low box1 := box.new(left = time, right = time, top = high, bottom = low, bgcolor=color.new(color.blue, 85), border_color=color.blue) if session1_active and not na(box1) hi1 := math.max(hi1, high) lo1 := math.min(lo1, low) box.set_right(box1, time) box.set_top(box1, hi1) box.set_bottom(box1, lo1) if not session1_active and not na(box1) box1 := na hi1 := na lo1 := na var box box2 = na var float hi2 = na var float lo2 = na if session2_start hi2 := high lo2 := low box2 := box.new(left = time, right = time, top = high, bottom = low, bgcolor=color.new(color.purple, 85), border_color=color.purple) if session2_active and not na(box2) hi2 := math.max(hi2, high) lo2 := math.min(lo2, low) box.set_right(box2, time) box.set_top(box2, hi2) box.set_bottom(box2, lo2) if not session2_active and not na(box2) box2 := na hi2 := na lo2 := na
Wskaźnik Pine Script®
od Serpico87
Smart Multi-Confirm Reversal DetectorHow the Smart Multi-Confirm Reversal Detector Works The indicator works by analyzing candlestick patterns, trend, and technical confirmations and then scoring each bar to determine the strength of a potential reversal. Here’s the step-by-step logic: Step 1: Analyze Candlestick Patterns For each new candle, the indicator checks if any of the selected patterns occur: Wick Reversal (Long Lower Wick): Looks for candles with a small body and a long lower shadow. Indicates buying pressure (potential bullish reversal). Inverted Wick (Long Upper Wick): Looks for candles with a small body and a long upper shadow. Indicates selling pressure (potential bearish reversal). Body Engulf: The current candle completely “engulfs” the previous candle. Signals a strong change in momentum. Tweezer Patterns: Two consecutive candles with almost identical highs or lows. Suggests a potential reversal zone. 3-Bar Pattern: Three consecutive bullish or bearish candles in a row. Shows strong momentum continuation or exhaustion, used to confirm reversal. Each pattern can be turned on/off by the user. If a pattern is detected, it contributes points to the overall signal score. Step 2: Confirm Trend Direction The indicator checks EMA trend alignment: Fast EMA vs Slow EMA: Fast EMA above Slow EMA → bullish trend. Fast EMA below Slow EMA → bearish trend. Optional Higher Timeframe EMA (HTF) Alignment: Checks if the trend on a higher timeframe matches the current trend. Adds extra weight to the signal if alignment is true. This ensures the signal goes in the direction of the prevailing trend, reducing false signals. Step 3: Check Technical Confirmations Optional filters increase reliability: ADX (Average Directional Index): Measures the strength of the current trend. Only strong trends contribute to the score. RSI (Relative Strength Index): Bullish confirmation: RSI is oversold. Bearish confirmation: RSI is overbought. Volume Spike: Compares current volume to the average volume. High volume validates the signal’s momentum. Body Momentum: Compares current candle’s body size to its average. Larger than average body indicates stronger momentum. Each of these confirmations can be enabled/disabled and has a weight in the scoring system. Step 4: Calculate Score Each pattern and confirmation has a user-defined weight (0–100). The indicator sums the active weights that pass conditions and normalizes to 100. Example: Wick Reversal detected → 30 points Trend EMA confirmed → 15 points ADX confirmed → 10 points Score = 55/100 → may or may not trigger a signal depending on threshold. Score Threshold: Only bars above the user-defined threshold are considered a confirmed signal. Bars above a lower “label threshold” still show a label, even if not strong enough for alerts. Step 5: Visualize Signals Bullish Signals: Green triangle below the candle. Bearish Signals: Red triangle above the candle. Labels: Show the type of pattern and the score. Purpose: Quickly identify potential reversals and assess their strength visually. Step 6: Optional Alerts Fixed alert messages can be enabled for confirmed bullish or bearish signals. Alerts do not recommend trades; they just notify you of pattern confirmations. Complies with TradingView’s policy for safe alert use. Step 7: Weighted Decision The final decision is not binary. Instead, the indicator combines multiple signals into a score, so stronger signals are more reliable. This reduces false positives and gives traders a professional, multi-confirmation approach to detect potential reversals.
Wskaźnik Pine Script®
od tradingbauhaus
gfg//@version=5 indicator("Lux Gainz Style Algo", overlay=true) // User Inputs fastLen = input.int(12, "Fast MA Length", minval=1) slowLen = input.int(26, "Slow MA Length", minval=1) rsiLen = input.int(14, "RSI Length", minval=1) rsiOverbought = input.float(70, "RSI Overbought Level") rsiOversold = input.float(30, "RSI Oversold Level") sensitivity = input.float(1.5, "Signal Sensitivity", minval=0.1, step=0.1) // Moving Averages for Trend fastMA = ta.ema(close, fastLen) slowMA = ta.ema(close, slowLen) // RSI for Momentum rsi = ta.rsi(close, rsiLen) // Trend Conditions bullTrend = fastMA > slowMA bearTrend = fastMA < slowMA // Confirmation Signals longSignal = ta.crossover(fastMA, slowMA) and rsi < rsiOversold * sensitivity shortSignal = ta.crossunder(fastMA, slowMA) and rsi > rsiOverbought / sensitivity // Plot Moving Averages plot(fastMA, color=color.new(color.green, 0), title="Fast EMA") plot(slowMA, color=color.new(color.red, 0), title="Slow EMA") // Candle Coloring for Trend Strength barcolor(bullTrend ? color.new(color.green, 70) : bearTrend ? color.new(color.red, 70) : color.gray) // Plot Buy/Sell Signals plotshape(longSignal, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.labelup, size=size.small) plotshape(shortSignal, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.labeldown, size=size.small) // Alerts alertcondition(longSignal, title="Long Entry", message="Lux Gainz Algo: Long Entry Signal") alertcondition(shortSignal, title="Short Entry", message="Lux Gainz Algo: Short Entry Signal")
Wskaźnik Pine Script®
od miyaniakshar798
Trend Fibo 1.618FIBONACCI TRENDLINE BREAKOUT SYSTEM Advanced indicator combining dynamic trendlines with ZigZag-based Fibonacci projections for precise entry and exit points. KEY FEATURES: - Dynamic trendline detection using pivot analysis - ZigZag-based Fibonacci level calculations - Multiple take profit targets (1.618, 2.618, 3.618, 4.618) - Automatic breakout signal generation - Historical price level visualization METHODOLOGY: Detects trendline breakouts and automatically draws Fibonacci retracements/extensions based on recent ZigZag swing points. Provides clear entry zones and multiple profit targets. USAGE: Best suited for swing trading on higher timeframes (4H-Daily). Combine with trend analysis for optimal results. DISCLAIMER: Educational purposes only. Past performance doesn't guarantee future results.
Wskaźnik Pine Script®
od Aliasqar414
1
Hammer, Engulfing & Star Candles aksh//@version=5 indicator("Hammer, Engulfing & Star Candles ", overlay=true, max_bars_back=500) // ===== Inputs ===== showHammer = input.bool(true, "Show Hammer") showShootingStar = input.bool(true, "Show Shooting Star") showEngulfing = input.bool(true, "Show Bull/Bear Engulfing") showMorningStar = input.bool(true, "Show Morning Star (3-candle)") showEveningStar = input.bool(true, "Show Evening Star (3-candle)") // Sensitivity / thresholds wickToBodyMin = input.float(2.5, "Min Wick:Body (Hammer/Star)", minval=0.5, step=0.1) maxOppWickToBody = input.float(0.7, "Max Opp Wick:Body (Hammer/Star)", minval=0.0, step=0.1) closeInTopPct = input.float(0.35, "Hammer: close in top % of range", minval=0.0, maxval=1.0, step=0.05) closeInBotPct = input.float(0.35, "Star: close in bottom % of range", minval=0.0, maxval=1.0, step=0.05) minBodyFracRange = input.float(0.15, "Min body as % of range (avoid doji)", minval=0.0, maxval=1.0, step=0.01) engulfRequireBodyPct = input.float(1.00, "Engulfing: body >= prev body x", minval=0.5, maxval=3.0, step=0.05) engulfAllowWicks = input.bool(false, "Engulfing: allow wick engulf if bodies equal") starMiddleBodyMaxPct = input.float(0.40, "Morning/Evening Star: middle body <= % of avg body", minval=0.05, maxval=1.0, step=0.05) starCloseRetracePct = input.float(0.50, "Morning/Evening Star: final close retraces >= % of first body", minval=0.25, maxval=1.0, step=0.05) // ===== Helpers ===== body(c,o) => math.abs(c - o) upperWick(h,o,c) => h - math.max(o, c) lowerWick(l,o,c) => math.min(o, c) - l rng(h,l) => h - l isBull(o,c) => c > o isBear(o,c) => o > c midpoint(h,l) => (h + l) * 0.5 b = body(close, open) uw = upperWick(high, open, close) lw = lowerWick(low, open, close) rg = rng(high, low) prev_o = open , prev_c = close , prev_h = high , prev_l = low prev_b = body(prev_c, prev_o) // avoid divide-by-zero safe(val) => nz(val, 0.0000001) // ===== Single-candle patterns ===== // Hammer: long lower wick, small/limited upper wick, decent body, close toward top of range hammer = showHammer and rg > 0 and b/rg >= minBodyFracRange and (lw / safe(b) >= wickToBodyMin) and (uw / safe(b) <= maxOppWickToBody) and (close >= (low + (1.0 - closeInTopPct) * rg)) // Shooting Star: long upper wick, small/limited lower wick, close toward bottom shootingStar = showShootingStar and rg > 0 and b/rg >= minBodyFracRange and (uw / safe(b) >= wickToBodyMin) and (lw / safe(b) <= maxOppWickToBody) and (close <= (low + closeInBotPct * rg)) // ===== Two-candle patterns: Engulfing ===== // Bullish engulfing: previous bearish, current bullish, current body engulfs previous body bullEngulf = showEngulfing and isBear(prev_o, prev_c) and isBull(open, close) and (open <= prev_c and close >= prev_o) and (b >= engulfRequireBodyPct * prev_b or (engulfAllowWicks and high >= prev_h and low <= prev_l)) // Bearish engulfing: previous bullish, current bearish, current body engulfs previous body bearEngulf = showEngulfing and isBull(prev_o, prev_c) and isBear(open, close) and (open >= prev_c and close <= prev_o) and (b >= engulfRequireBodyPct * prev_b or (engulfAllowWicks and high >= prev_h and low <= prev_l)) // ===== Three-candle patterns: Morning/Evening Star ===== // Morning Star: strong bearish candle, small middle candle (gap or small body), strong bullish close retracing into first body o2 = open , c2 = close b2 = body(c2, o2) avgBody = ta.sma(body(close, open), 20) smallMiddle = body(close , open ) <= starMiddleBodyMaxPct * nz(avgBody, prev_b) firstBear = isBear(o2, c2) lastBull = isBull(open, close) retrBull = lastBull and (close >= (c2 + starCloseRetracePct * (o2 - c2))) morningStar = showMorningStar and firstBear and smallMiddle and retrBull // Evening Star: mirror firstBull = isBull(o2, c2) lastBear = isBear(open, close) retrBear = lastBear and (close <= (c2 - starCloseRetracePct * (c2 - o2))) eveningStar = showEveningStar and firstBull and smallMiddle and retrBear // ===== Plotting ===== plotshape(hammer, title="Hammer", style=shape.labelup, location=location.belowbar, text="🔨 Hammer", size=size.tiny, color=color.new(color.lime, 0), textcolor=color.black) plotshape(shootingStar, title="Shooting Star", style=shape.labeldown, location=location.abovebar, text="⭐ Star", size=size.tiny, color=color.new(color.orange, 0), textcolor=color.black) plotshape(bullEngulf, title="Bull Engulfing", style=shape.labelup, location=location.belowbar, text="🟢 Engulf", size=size.tiny, color=color.new(color.teal, 0), textcolor=color.black) plotshape(bearEngulf, title="Bear Engulfing", style=shape.labeldown, location=location.abovebar, text="🔴 Engulf", size=size.tiny, color=color.new(color.red, 0), textcolor=color.white) plotshape(morningStar, title="Morning Star", style=shape.labelup, location=location.belowbar, text="🌅 Morning", size=size.tiny, color=color.new(color.aqua, 0), textcolor=color.black) plotshape(eveningStar, title="Evening Star", style=shape.labeldown, location=location.abovebar, text="🌆 Evening", size=size.tiny, color=color.new(color.purple, 0), textcolor=color.white) // Optional: color bars when patterns occur barcolor(hammer ? color.new(color.lime, 60) : na) barcolor(shootingStar ? color.new(color.orange, 60) : na) barcolor(bullEngulf ? color.new(color.teal, 70) : na) barcolor(bearEngulf ? color.new(color.red, 70) : na) barcolor(morningStar ? color.new(color.aqua, 70) : na) barcolor(eveningStar ? color.new(color.purple, 70) : na) // ===== Alerts ===== alertcondition(hammer, "Hammer", "Hammer detected") alertcondition(shootingStar, "Shooting Star", "Shooting Star detected") alertcondition(bullEngulf, "Bullish Engulfing","Bullish Engulfing detected") alertcondition(bearEngulf, "Bearish Engulfing","Bearish Engulfing detected") alertcondition(morningStar, "Morning Star", "Morning Star detected (3-candle)") alertcondition(eveningStar, "Evening Star", "Evening Star detected (3-candle)") // ===== Hints (toggle in the Style tab if labels feel too crowded) ===== // You can adjust thresholds to match your market/timeframe. // Common tweaks: increase wickToBodyMin for stricter hammers/stars; increase minBodyFracRange to avoid doji; // require stronger retrace in star patterns by raising starCloseRetracePct.
Wskaźnik Pine Script®
od miyaniakshar798
SMA MAD SuperTrend | OquantThe SMA MAD SuperTrend | Oquant is an trend-following indicator designed to help traders identify potential trend directions and reversals using a unique combination of a Simple Moving Average (SMA), Mean Absolute Deviation (MAD), and a SuperTrend mechanism. This script aims to provide clear visual signals for trend entries and exits, making it suitable for traders looking to capture trends. This indicator innovatively combines the smoothing properties of an SMA with the volatility-adaptive qualities of MAD to create dynamic SuperTrend bands. Unlike traditional SuperTrend indicators that rely on Average True Range (ATR) for volatility, this script uses Mean Absolute Deviation(MAD) to measure the average absolute deviation from the mean price, providing a different perspective on price volatility. The result is a SuperTrend system that adapts to market conditions with a focus on price deviation, offering a unique tool for trend detection. Components and Calculations Simple Moving Average (SMA): The SMA is a widely used indicator that calculates the average of a specified number of closing prices. It smooths price data to identify the overall trend direction. In this script, the SMA serves as the baseline for calculating dynamic upper and lower bands. Mean Absolute Deviation (MAD): MAD measures the average absolute deviation of the price from its mean. It quantifies volatility by calculating how far prices deviate from the mean price, offering an alternative to ATR. SuperTrend Mechanism: This SuperTrend indicator generates dynamic upper and lower bands around the Simple Moving Average (SMA) using mean absolute deviation as measure of volatility. It tracks trend direction by comparing the close price to the bands: If the price crosses above the upper band, the trend turns bullish, and the SuperTrend follows the lower band. If the price crosses below the lower band, the trend turns bearish, and the SuperTrend follows the upper band. The bands adjust based on their previous values, updating only when the price crosses a band or the band shifts in the correct direction, reducing false signals and ensuring stable trend detection. How to Use the Indicator Trend Signals: Green Line: Indicates a bullish trend (price above the SuperTrend line). Purple Line: Indicates a bearish trend (price below the SuperTrend line). Bar and Candle Coloring: Bars and candles are colored green for bullish trends and purple for bearish trends, making it easy to visualize trend direction. Filled Areas: The area between the price and the SuperTrend line is filled with transparent colors (green for bullish, purple for bearish) to highlight trend. Inputs: Source: Choose the price data for calculations. SMA Length: Adjust the period for the SMA. Longer periods smooth the trend further. MAD Length: Set the period for MAD calculation. Shorter periods make the MAD more sensitive. Factor: Control the distance of the SuperTrend bands from the SMA. Higher values widen the bands, reducing sensitivity to price fluctuations. Alerts: The script includes alert conditions for trend changes: SMA MAD SuperTrend Long: Triggered when the trend turns bullish. SMA MAD SuperTrend Short: Triggered when the trend turns bearish. Set up alerts in TradingView to receive notifications for these conditions. Why Use This Script? The SMA MAD SuperTrend | Oquant offers a fresh take on trend-following by integrating SMA as baseline and MAD for volatility measurement, providing an alternative to ATR-based SuperTrend indicators. Its clear visual signals, customizable inputs, and alert conditions make it versatile for traders of all levels. ⚠️ Disclaimer: This indicator is intended for educational and informational purposes only. Trading/investing involves risk, and past performance does not guarantee future results. Always test and evaluate indicators/strategies before applying them in live markets. Use at your own risk.
Wskaźnik Pine Script®
od oquant