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Squeeze Momentum Indicator With EMAThis is a upgraded verison of the most popular Squeeze Momentum Indicator with highlighted lines on the chart to better show entry and exits. Also includes arrows for easy visibility. Can also set up ALERTS easily and you can change the color of the momentum highlighted areas to your preference. HOW TO USE : ***ENTER/EXIT WHEN*** 1.Ema 56 / 112 / 672 lines up 2.WHEN CROSSOVER ABOVE = Highlighted green with arrows means bullish entry or bearish exit. 3.WHEN CROSSOVER DOWN = Highlighted red with arows means bearish entry or bullish exit. 4.Exit when black areas occur ***AVOID TRADING WHEN*** 1.Arrows within black areas (Non momentum areas or non-squeeze areas) 2.Arrows not following trend(Down arrow during an upwards EMA trend) **Caution** You can decide to hold onto a position if you'd like durin the trend, but look at price action before exiting.
Pine Script® göstergesi
bforbae46 tarafından
PrismWMA (Rolling)# PrismWMA (Rolling) Overview PrismWMA computes rolling VWMA, TWMA and TrueWMA over a fixed lookback window, then plots dynamic volatility bands around each. It’s the rolling-window counterpart to PrismWAP’s anchored spans, giving you per-bar, up-to-date average levels and band excursions. How It Works Every bar, PrismWMA: • Calculates VWMA, TWMA and TrueWMA over the last wmaWindowLen bars. • Computes your chosen volatility measure (Std Dev, MAD, ATR-scaled) or Percent of WMA over volWindowLen bars. • Draws upper/lower bands as ±mult × volatility (or ±mult % of the WMA in Percent mode). Inputs Settings/Default/Description WMA Lookback (bars)/50/Number of bars for rolling WMA Volatility Measure/Std Dev/Band width method: Std Dev, MAD, ATR (scaled), or Percent of WMA Volatility Lookback (bars)/50/Number of bars used to compute rolling volatility Band Multiplier (or %)/3.0/Multiplier for band width (or percent of WMA in Percent mode) Scale MAD to σ/true/When MAD is selected, scale by √(π/2) so it aligns with σ Display • Show VWMA true • Show TWMA true • Show TrueWMA true • Show VBands false • Show TBands false • Show TrueBands true References: 1. TrueWMA Description ## 1. TrueWMA: Volatility-Weighted Price Averaging What Is TrueWMA? TrueWMA weights each bar’s TrueMid (TrueRange midpoint) by its TrueRange, so high-volatility bars carry more influence. It blends price level and volatility into one moving average Pseudocode // TWMA Example for Comparison window_size = 50 OHLC = (Open + High + Low + Close) / 4 TWMA = MA(OHLC, window_size) // VWMA Example for Comparison window_size = 50 HLC3 = (High + Low + Close) / 3 VWMA = Sum(HLC3 * Volume, window_size) / Sum(Volume, window_size) // TrueWMA (Rolling) window_size = 50 max_val = Maximum(Close , High) min_val = Minimum(Close , Low) true_mid = (max_val + min_val) / 2 TrueWMA = Sum(true_mid * TrueRange, window_size) / Sum(TrueRange, window_size) Interpretation For each bar, Rolling TrueWMA: • Computes a TrueMid (“contextual midpoint”) from the prior close and the current bar’s high/low. • Weights each TrueMid by that bar’s TrueRange. • Divides the sum of those weighted midpoints by the total TrueRange over the lookback window. The result is a single series that dynamically blends price levels with recent volatility.
Pine Script® göstergesi
DeltaStats tarafından
RSI WMA VWMA Divergence Indicator// This Pine Script® code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org // © Kenndjk //@version=6 indicator(title="RSI WMA VWMA Divergence Indicator", shorttitle="Kenndjk", format=format.price, precision=2) oscType = input.string("RSI", "Oscillator Type", options = , group="General Settings") // RSI Settings rsiGroup = "RSI Settings" rsiLengthInput = input.int(14, minval=1, title="RSI Length", group=rsiGroup) rsiSourceInput = input.source(close, "Source", group=rsiGroup) // WMA VWMA wmaLength = input.int(9, "WMA Length", minval=1, group="WMA Settings") vwmaLength = input.int(3, "VWMA Length", minval=1, group="WMA Settings") wma = ta.wma(close, wmaLength) vwma = ta.vwma(close, vwmaLength) useVWMA = input.bool(true, "Use VWMA for Divergence (when WMA + VWMA mode)", group="WMA Settings") // Oscillator selection rsi = ta.rsi(rsiSourceInput, rsiLengthInput) // Calculate RSI always, but use conditionally osc = oscType == "RSI" ? rsi : useVWMA ? vwma : wma // RSI plots (conditional) isRSI = oscType == "RSI" rsiPlot = plot(isRSI ? rsi : na, "RSI", color=isRSI ? #7E57C2 : na) rsiUpperBand = hline(isRSI ? 70 : na, "RSI Upper Band", color=isRSI ? #787B86 : na) midline = hline(isRSI ? 50 : na, "RSI Middle Band", color=isRSI ? color.new(#787B86, 50) : na) rsiLowerBand = hline(isRSI ? 30 : na, "RSI Lower Band", color=isRSI ? #787B86 : na) fill(rsiUpperBand, rsiLowerBand, color=isRSI ? color.rgb(126, 87, 194, 90) : na, title="RSI Background Fill") midLinePlot = plot(isRSI ? 50 : na, color = na, editable = false, display = display.none) fill(rsiPlot, midLinePlot, 100, 70, top_color = isRSI ? color.new(color.green, 0) : na, bottom_color = isRSI ? color.new(color.green, 100) : na, title = "Overbought Gradient Fill") fill(rsiPlot, midLinePlot, 30, 0, top_color = isRSI ? color.new(color.red, 100) : na, bottom_color = isRSI ? color.new(color.red, 0) : na, title = "Oversold Gradient Fill") // WMA VWMA plots wmaColor = oscType != "RSI" ? (useVWMA ? color.new(color.blue, 70) : color.blue) : na wmaWidth = useVWMA ? 1 : 2 vwmaColor = oscType != "RSI" ? (useVWMA ? color.orange : color.new(color.orange, 70)) : na vwmaWidth = useVWMA ? 2 : 1 plot(oscType != "RSI" ? wma : na, "WMA", color=wmaColor, linewidth=wmaWidth) plot(oscType != "RSI" ? vwma : na, "VWMA", color=vwmaColor, linewidth=vwmaWidth) // Smoothing MA inputs (only for RSI) GRP = "Smoothing (RSI only)" TT_BB = "Only applies when 'Show Bollinger Bands' is selected. Determines the distance between the SMA and the bands." maLengthSMA = input.int(14, "SMA Length", minval=1, group=GRP, display=display.data_window) maLengthEMA = input.int(14, "EMA Length", minval=1, group=GRP, display=display.data_window) maLengthRMA = input.int(14, "SMMA (RMA) Length", minval=1, group=GRP, display=display.data_window) maLengthWMA = input.int(14, "WMA Length", minval=1, group=GRP, display=display.data_window) maLengthVWMA = input.int(14, "VWMA Length", minval=1, group=GRP, display=display.data_window) bbMultInput = input.float(2.0, "BB StdDev", minval=0.001, maxval=50, step=0.5, tooltip=TT_BB, group=GRP, display=display.data_window) showSMA = input.bool(false, "Show SMA", group=GRP) showEMA = input.bool(false, "Show EMA", group=GRP) showRMA = input.bool(false, "Show SMMA (RMA)", group=GRP) showWMAsmooth = input.bool(false, "Show WMA", group=GRP) showVWMAsmooth = input.bool(false, "Show VWMA", group=GRP) showBB = input.bool(false, "Show SMA + Bollinger Bands", group=GRP, tooltip=TT_BB) // Smoothing MA Calculations sma_val = (showSMA or showBB) and isRSI ? ta.sma(rsi, maLengthSMA) : na ema_val = showEMA and isRSI ? ta.ema(rsi, maLengthEMA) : na rma_val = showRMA and isRSI ? ta.rma(rsi, maLengthRMA) : na wma_val = showWMAsmooth and isRSI ? ta.wma(rsi, maLengthWMA) : na vwma_val = showVWMAsmooth and isRSI ? ta.vwma(rsi, maLengthVWMA) : na smoothingStDev = showBB and isRSI ? ta.stdev(rsi, maLengthSMA) * bbMultInput : na // Smoothing MA plots plot(sma_val, "RSI-based SMA", color=(showSMA or showBB) ? color.yellow : na, display=(showSMA or showBB) ? display.all : display.none, editable=(showSMA or showBB)) plot(ema_val, "RSI-based EMA", color=showEMA ? color.purple : na, display=showEMA ? display.all : display.none, editable=showEMA) plot(rma_val, "RSI-based RMA", color=showRMA ? color.red : na, display=showRMA ? display.all : display.none, editable=showRMA) plot(wma_val, "RSI-based WMA", color=showWMAsmooth ? color.blue : na, display=showWMAsmooth ? display.all : display.none, editable=showWMAsmooth) plot(vwma_val, "RSI-based VWMA", color=showVWMAsmooth ? color.orange : na, display=showVWMAsmooth ? display.all : display.none, editable=showVWMAsmooth) bbUpperBand = plot(showBB ? sma_val + smoothingStDev : na, title="Upper Bollinger Band", color=showBB ? color.green : na, display=showBB ? display.all : display.none, editable=showBB) bbLowerBand = plot(showBB ? sma_val - smoothingStDev : na, title="Lower Bollinger Band", color=showBB ? color.green : na, display=showBB ? display.all : display.none, editable=showBB) fill(bbUpperBand, bbLowerBand, color=showBB ? color.new(color.green, 90) : na, title="Bollinger Bands Background Fill", display=showBB ? display.all : display.none, editable=showBB) // Divergence Settings divGroup = "Divergence Settings" calculateDivergence = input.bool(true, title="Calculate Divergence", group=divGroup, tooltip = "Calculating divergences is needed in order for divergence alerts to fire.") lookbackLeft = input.int(5, "Pivot Lookback Left", minval=1, group=divGroup) lookbackRight = input.int(5, "Pivot Lookback Right", minval=1, group=divGroup) rangeLower = input.int(5, "Min Range for Divergence", minval=0, group=divGroup) rangeUpper = input.int(60, "Max Range for Divergence", minval=1, group=divGroup) showHidden = input.bool(true, "Show Hidden Divergences", group=divGroup) bearColor = color.red bullColor = color.green textColor = color.white noneColor = color.new(color.white, 100) _inRange(cond) => bars = ta.barssince(cond) rangeLower <= bars and bars <= rangeUpper bool plFound = false bool phFound = false bool bullCond = false bool bearCond = false bool hiddenBullCond = false bool hiddenBearCond = false float oscLBR = na float lowLBR = na float highLBR = na float prevPlOsc = na float prevPlLow = na float prevPhOsc = na float prevPhHigh = na if calculateDivergence plFound := not na(ta.pivotlow(osc, lookbackLeft, lookbackRight)) phFound := not na(ta.pivothigh(osc, lookbackLeft, lookbackRight)) oscLBR := osc lowLBR := low highLBR := high prevPlOsc := ta.valuewhen(plFound, oscLBR, 1) prevPlLow := ta.valuewhen(plFound, lowLBR, 1) prevPhOsc := ta.valuewhen(phFound, oscLBR, 1) prevPhHigh := ta.valuewhen(phFound, highLBR, 1) // Regular Bullish oscHL = oscLBR > prevPlOsc and _inRange(plFound ) priceLL = lowLBR < prevPlLow bullCond := priceLL and oscHL and plFound // Regular Bearish oscLL = oscLBR < prevPhOsc and _inRange(phFound ) priceHH = highLBR > prevPhHigh bearCond := priceHH and oscLL and phFound // Hidden Bullish oscLL_hidden = oscLBR < prevPlOsc and _inRange(plFound ) priceHL = lowLBR > prevPlLow hiddenBullCond := priceHL and oscLL_hidden and plFound and showHidden // Hidden Bearish oscHH_hidden = oscLBR > prevPhOsc and _inRange(phFound ) priceLH = highLBR < prevPhHigh hiddenBearCond := priceLH and oscHH_hidden and phFound and showHidden // Plot divergences (lines and labels on pane) if bullCond leftBar = ta.valuewhen(plFound, bar_index , 1) line.new(leftBar, prevPlOsc, bar_index , oscLBR, xloc=xloc.bar_index, color=bullColor, width=2) label.new(bar_index , oscLBR, "R Bull", style=label.style_label_up, color=noneColor, textcolor=textColor) if bearCond leftBar = ta.valuewhen(phFound, bar_index , 1) line.new(leftBar, prevPhOsc, bar_index , oscLBR, xloc=xloc.bar_index, color=bearColor, width=2) label.new(bar_index , oscLBR, "R Bear", style=label.style_label_down, color=noneColor, textcolor=textColor) if hiddenBullCond leftBar = ta.valuewhen(plFound, bar_index , 1) line.new(leftBar, prevPlOsc, bar_index , oscLBR, xloc=xloc.bar_index, color=bullColor, width=2, style=line.style_dashed) label.new(bar_index , oscLBR, "H Bull", style=label.style_label_up, color=noneColor, textcolor=textColor) if hiddenBearCond leftBar = ta.valuewhen(phFound, bar_index , 1) line.new(leftBar, prevPhOsc, bar_index , oscLBR, xloc=xloc.bar_index, color=bearColor, width=2, style=line.style_dashed) label.new(bar_index , oscLBR, "H Bear", style=label.style_label_down, color=noneColor, textcolor=textColor) // Alert conditions alertcondition(bullCond, title="Regular Bullish Divergence", message="Found a new Regular Bullish Divergence, Pivot Lookback Right number of bars to the left of the current bar.") alertcondition(bearCond, title="Regular Bearish Divergence", message="Found a new Regular Bearish Divergence, Pivot Lookback Right number of bars to the left of the current bar.") alertcondition(hiddenBullCond, title="Hidden Bullish Divergence", message="Found a new Hidden Bullish Divergence, Pivot Lookback Right number of bars to the left of the current bar.") alertcondition(hiddenBearCond, title="Hidden Bearish Divergence", message="Found a new Hidden Bearish Divergence, Pivot Lookback Right number of bars to the left of the current bar.")
Pine Script® göstergesi
Kenndjk tarafından
PrismWAP (Anchored)# PrismWAP (Anchored) Overview PrismWAP plots three anchored weighted-average prices (VWAP, TWAP, TrueWAP) with dynamic volatility bands and a resettable anchor line. It helps you see key value levels since your chosen anchor period and gauge price excursions relative to volatility. How It Works On each new span (session, week, month, quarter, etc.), the indicator resets a base price from the first bar’s open. It computes anchored VWAP, TWAP, and TrueWAP cumulatively over the span. Volatility bands are drawn as ±multiplier × a span-length-weighted average of your chosen volatility measure (Std Dev, MAD, ATR-scaled, or Percent of WAP). Inputs Settings/Default/Description Anchor Period/Quarter/Span for resetting WAP and anchor line (Week, Month, etc.) Volatility Measure/Std Dev/Method for band width: SD, MAD, ATR (scaled), Percent of WAP Volatility Spans/current+2/Number of spans (current + previous spans) used in volatility Band Multiplier(or %)/3.0/Multiplier for band width (or Percent of WAP in Percent mode) Scale MAD to σ/true/When MAD selected, scale by √(π/2) so it aligns with σ Display • Show Anchor Line true • Show VWAP true • Show TWAP true • Show TrueWAP true • Show VWAP Bands false • Show TWAP Bands false • Show TrueWAP Bands true Tips & Use Cases • Use shorter spans (Session, Week) for sub-daily bar intervals. • Use longer spans (Quarter, Year) for daily bar intervals. References: 1. TrueWAP Description 2. SD, MAD, ATR (scaled) weighted average volatility ## 1. TrueWAP: Volatility-Weighted Price Averaging What Is TrueWAP? TrueWAP plugs actual price fluctuations into your average. Instead of only tracking time (TWAP) or volume (VWAP), it weights each bar’s TrueRange midpoint by its TrueRange—so when the market moves more, that bar counts more. TrueWAP (Anchored) Overview • On the first bar, it uses the simple high-low midpoint for price and the bar’s high-low range for weighting. • From the next bar onward, it computes TrueMid by averaging the TrueRange high (higher of prior close or current high) with the TrueRange low (lower of prior close or current low). • Each TrueMid is weighted by its TrueRange and cumulatively summed from the anchor point. Pseudocode // TWAP Example for Comparison current_days = BarsSince("start_of_period") OHLC = (Open + High + Low + Close) / 4 TWAP = MA(OHLC, current_days) // VWAP Example for Comparison current_days = BarsSince("start_of_period") HLC3 = (High + Low + Close) / 3 VWAP = Sum(HLC3 * Volume, current_days) / Sum(Volume, current_days) // TrueWAP (Anchored) current_days = BarsSince("start_of_period") // Count of bars since the period began first_bar = (current_days == 0) // Boolean flag that is true if current bar is the first of period hilo_mid = (High + Low) / 2 // For the first bar, use its simple high/low avg max_val = max(Close , High) // For subsequent bars, TrueRange high min_val = min(Close , Low) // For subsequent bars, TrueRange low true_mid = (max_val + min_val) / 2 // True Range midpoint for subsequent bars // Use hilo_mid and (High - Low) for the first bar; otherwise, use true_mid and True Range mid_val = IF(first_bar, hilo_mid, true_mid) range_val = IF(first_bar, (High - Low), TrueRange) TrueWAP = Sum(mid_val * range_val, current_days) / Sum(range_val, current_days) Recap: Interpretation • The first bar uses the simple high-low midpoint and range. • Subsequent bars use TrueMid and TrueRange based on prior close. • This ensures the average reflects only the observed volatility and price since the anchor. A Note on True Range TrueRange captures the full extent of bar-to-bar volatility as the maximum of: • High – Low • |High – Previous Close| • |Low – Previous Close| ## 2. Segmented Weighted-Average Volatility: A Fixed-Point Multi-Period Approach ### Introduction Conventional standard deviation calculations aggregate data over an expanding window and rely on a single mean, producing one summary statistic. This can obscure segmented, sequential datasets—such as MTD, QTD, and YTD—where additional granularity and time-sensitive insights matter. This methodology isolates standard deviation within defined time frames and then proportionally allocates them based on custom lookback criteria. The result is a dynamic, multi-period normalization benchmark that captures both emerging volatility and historical stability. Note: While this example uses SD, the same fixed-point approach applies to MAD and ATR (scaled). ### 2.1 Standard Deviation (Rolling Window) pseudocode // -- STANDARD DEVIATION (ROLLING) Calculation -- window_size = 20 rolling_SD = STDDEV(Close, window_size) • Ideal for immediate trading insights. • Reflects pure, short-term price dynamics. • Captures volatility using the most recent 20 trading days. ### 2.2 Blended SD: Current + 3 Past Periods This method fuses current month data with the last three complete months. pseudocode // -- MULTI-PERIOD STANDARD DEVIATION (PROXY) with Three Past Periods -- current_days = BarsSince("start_of_month") current_SD = STDDEV(Close, current_days) prev1_days = TradingDaysLastMonth prev1_SD = STDDEV_LastMonth(Close) prev2_days = TradingDaysTwoMonthsAgo prev2_SD = STDDEV_TwoMonthsAgo(Close) prev3_days = TradingDaysThreeMonthsAgo prev3_SD = STDDEV_ThreeMonthsAgo(Close) // Blending with Proportional Weights Weighted_SD = (current_SD * current_days + prev1_SD * prev1_days + prev2_SD * prev2_days + prev3_SD * prev3_days) / (current_days + prev1_days + prev2_days + prev3_days) • Merges evolving volatility with the stability of three prior months. • Weights each period by its trading days. • Yields a robust normalization benchmark. ### 2.3 Blended SD: Current + 1 Past Period This variant tempers emerging volatility by blending the current month with last month only. pseudocode // -- MULTI-PERIOD STANDARD DEVIATION (PROXY) with One Past Period -- current_days = BarsSince("start_of_month") current_SD = STDDEV(Close, current_days) prev1_days = TradingDaysLastMonth prev1_SD = STDDEV_LastMonth(Close) // Proportional Blend Weighted_SD = (current_SD * current_days + prev1_SD * prev1_days) / (current_days + prev1_days) • Anchors current volatility to last month’s baseline. • Softens spikes by blending with historical data. Conclusion Segmented weighted-average volatility transforms global benchmarking by integrating immediate market dynamics with enduring historical context. This fixed-point approach—applicable to SD, MAD (scaled), and ATR (scaled)—delivers time-sensitive analysis.
Pine Script® göstergesi
DeltaStats tarafından
UngliMulti-Indicator Confluence System This is a **multi-indicator confluence trading signal system** called "Ungli" that combines RSI, ADX, and MACD to identify high-probability momentum opportunities when used alongside chart pattern and trend line breakouts. ## Core Concept The script identifies moments when multiple technical indicators align to suggest potential price momentum moves, specifically looking for oversold and overbought conditions with momentum confirmation. Use green and red highlights along with chart patterns and trend line breakouts that signal a breakout for confluence for a likely momentum move. ## Technical Indicators Used **RSI (Relative Strength Index)** - Default 14-period RSI - Oversold threshold: < 40 - Overbought threshold: > 60 **ADX (Average Directional Index)** - Default 14-period ADX with DI+ and DI- - Threshold: 21 - Looks for ADX below threshold but ticking upward (momentum building) **MACD (Moving Average Convergence Divergence)** - Fast: 12, Slow: 26, Signal: 9 - Uses MACD line direction as trend filter ## Signal Logic **Green Background (Bullish Momentum Signal):** - RSI > 60 (overbought) - ADX < 21 AND rising - MACD line trending upward **Red Background (Bearish Momentum Signal):** - RSI < 40 (oversold) - ADX < 21 AND rising - MACD line trending downward ## Key Strategy Elements 1. **Confluence Approach**: Requires all three indicators to align, reducing false signals 2. **Momentum Filter**: ADX must be building (rising) even if low, indicating emerging trend strength 3. **Trend Confirmation**: MACD direction must match the expected move 4. **Visual Simplicity**: Clean background highlighting without chart clutter 5. **Pattern Integration**: Designed to work with chart patterns and breakout strategies ## Use Case This indicator is designed for swing trading and breakout strategies, identifying moments when oversold/overbought conditions coincide with building momentum in the expected direction. The ADX filter helps avoid choppy, trendless markets. Best used in conjunction with: - Support/resistance breakouts - Chart pattern breakouts (triangles, flags, channels) - Trend line breaks - Key level violations The background highlights serve as confluence confirmation when combined with your chart analysis and breakout setups.
Pine Script® göstergesi
naikamit8 tarafından
First Round Break TrackerA simple indicator that tracks the first-time breakouts of round number levels (psychological levels) on any chart. Clean interface with minimal configuration needed First Breakout Only : Marks each round level only once when broken for the first time Customizable Step Size : Adjustable round number intervals (e.g., 100, 1000, 10000 etc.) Clean Visual Alerts : Green labels with "FIRST:" prefix appear exactly at breakout moments Real-time Info Panel : Shows current price, next target level, and total breakouts count
Pine Script® göstergesi
trwklmn tarafından
Wave1234 Flip tp Betawave1234 flip tp A Trend-Following Indicator Powered by Elliott Wave & SMC – Know Where the Price Will Rise, Peak, and Reverse Wave1234 Flip TP is a technical indicator built on the foundations of Elliott Wave Theory combined with insights from Smart Money Concepts (SMC). It's designed to help traders clearly identify: ✅ Where the price will start rising (precise entry after a confirmed reversal) ✅ Where the rally is likely to end (shows psychological Take Profit zones after Wave 4) ✅ And where the price is most likely to reverse down (based on key structural resistance) 🧠 How It Works: The core mechanism of Wave1234 Flip TP is simple but powerful. 📈 Once a Buy signal appears — this marks the beginning of a new uptrend (confirmed by structure and reversal patterns). ➡️ From there, the system lets the trend run naturally, tracking the price through its impulsive movement (Wave 1 to 3) and its first meaningful correction (Wave 4). ✅ After Wave 4 forms, the indicator begins tracking potential reversal zones — based on both market psychology and institutional order flow. 🔹 This is when the green TP line appears — a projected take-profit zone where the rally may end. 💥 When price hits this zone and confirms exhaustion, the green TP line turns blue, signaling: ✅ Success – the trend has completed its cycle 🚨 Caution – momentum may reverse soon This allows traders to exit at strength, or prepare for a potential short when structure shifts again. หลักการของ Wave1234 Flip TP คือ “ปล่อยให้เทรนด์รันอย่างเป็นธรรมชาติ แล้วไปโฟกัสจุดกลับตัวที่สำคัญที่สุด” 📈 เมื่อเกิดสัญญาณ Buy — นั่นคือจุดเริ่มต้นของเทรนด์ขาขึ้นรอบใหม่ (ยืนยันโดยโครงสร้างราคาและแท่งกลับตัว) จากนั้นเราจะ ปล่อยให้เทรนด์วิ่งไป โดยไม่ต้องรีบทำอะไร …รอจนเข้าสู่ช่วงคลื่น 3 → 4 (Wave 3-4) เพราะนั่นคือช่วงที่ “แรงซื้อเริ่มหมด” ✅ หลังจาก Wave 4 จบลง อินดิเคเตอร์จะเริ่ม “คาดการณ์จุดกลับตัว” โดยใช้ทั้งพฤติกรรมจิตวิทยาตลาด และระดับราคาเชิงโครงสร้างที่สถาบันมองเห็น 🟩 เส้น TP สีเขียวจะปรากฏขึ้น — นี่คือโซนที่ควร เริ่มทยอยปิดกำไร 📉 และถ้าราคาวิ่ง ชนเส้นนี้จริง พร้อมมีสัญญาณยืนยัน เส้นเขียวจะ เปลี่ยนเป็นสีฟ้า ทันที 💡 แปลว่า: เทรนด์รอบนี้ “ไปถึงเป้าหมายแล้ว” ความเสี่ยงที่จะกลับทิศกำลังสูงขึ้น ถึงเวลาที่ต้อง “หยุดโลภ แล้วป้องกันกำไร”
Pine Script® göstergesi
trendtactics tarafından
DI/ADX Trend Strategy | (1-Min Scalping)Strategy Overview This is an experimental 1-minute trend-following strategy combining DI+/DI-, ADX, RSI, MACD, VWAP, and EMA filters with a time-based exit. It aims to catch strong directional moves while strictly managing risk. Indicator Components • DI+/DI- + ADX – Trend direction + strength filter • RSI (14) – Momentum confirmation (RSI > 55 or < 45) • MACD Histogram – Detects directional momentum shifts • Candle Body % Filter – Screens for strong commitment candles • EMA 600 / 2400 – Long-term trend alignment • Weekly VWAP – Entry only when price is above/below VWAP • Trade Limit – Max 2 trades per direction per VWAP cycle • Time-Based Stop – 0.50% SL, 3.75% TP, 12h (720 bars) time stop Entry Logic Long Entry: • DI+ crosses above DI− • RSI > 55 • MACD histogram > 0 • Strong bullish candle • Price > VWAP • EMA600 > EMA2400 • Within 25 bars of EMA crossover • Max 2 long trades before VWAP resets Short Entry: • DI+ crosses below DI− • RSI < 45 • MACD histogram < 0 • Strong bearish candle • Price < VWAP • EMA2400 > EMA600 • Within 25 bars of EMA crossover • Max 2 short trades before VWAP resets Exit Logic • Stop Loss: 0.50% • Take Profit: 3.75% (7.5R) • Time Stop: 720 bars (~12 hours on 1m chart) • Each trade exits independently Testing Parameters • Initial Capital: $10,000 • Commission: 0.10% • Timeframe: 1-minute • Tested on: BTCUSDT, ETHUSDT • Pyramiding: Up to 5 positions allowed • VWAP resets trade counter to reduce overtrading Alerts • Buy / Sell signal • Trade Opened / Closed • SL/TP triggered ⚠️ Notes • Early-stage strategy — entry count varies by trend conditions • Shared for educational use and community feedback • Please forward-test before using live • Open-source — contributions and suggestions welcome! Disclaimer This strategy is for educational purposes only and should not be considered financial advice. Past performance does not guarantee future results. Always validate independently before trading live.
Pine Script® stratejisi
bnzraguilar tarafından
Triumm algo v2 with Signal Qualitythis indicator very usefull for trding it give signal entry sl tp buy selll A buy/sell indicator is a tool used in technical analysis to help traders identify optimal entry (buy) and exit (sell) points in the market. These indicators analyze price movements, volume, and momentum to generate signals that suggest potential trading opportunities. LinkedIn +1 Angel One +1 Key Buy/Sell Indicators Relative Strength Index (RSI) The RSI measures the speed and change of price movements on a scale from 0 to 100. Traditionally, an RSI above 70 indicates that an asset may be overbought (a potential sell signal), while an RSI below 30 suggests it may be oversold (a potential buy signal). Moving Average Convergence Divergence (MACD) The MACD is a trend-following momentum indicator that shows the relationship between two moving averages of an asset's price. A bullish signal occurs when the MACD line crosses above the signal line, while a bearish signal occurs when it crosses below. Moving Average Crossovers This method involves plotting two moving averages of different lengths on a chart. A common strategy is the "Golden Cross," where a short-term moving average crosses above a long-term moving average, indicating a potential uptrend. Conversely, a "Death Cross" occurs when a short-term moving average crosses below a long-term moving average, suggesting a potential downtrend. Bollinger Bands Bollinger Bands consist of a moving average and two standard deviation lines plotted above and below it. When the price touches the upper band, the asset may be overbought; when it touches the lower band, it may be oversold. Stochastic Oscillator This momentum indicator compares a particular closing price of an asset to a range of its prices over a certain period. Values above 80 are considered overbought, and values below 20 are considered oversold. Practical Considerations Lagging Nature: Most indicators are based on historical data and may lag behind current market conditions. Therefore, they should be used in conjunction with other forms of analysis. False Signals: No indicator is foolproof. It's essential to confirm signals with additional analysis or indicators to reduce the likelihood of acting on false signals. Reddit Market Conditions: The effectiveness of indicators can vary depending on market conditions. For instance, some indicators perform better in trending markets, while others are more suited for ranging markets.
Pine Script® göstergesi
Triummm-God tarafından
Triumm Order Block with Reversal Ratingbest orderblock 🧠 What Is an Order Block? An Order Block (OB) is a price zone where large financial institutions (banks, hedge funds) have placed large buy or sell orders. It’s usually identified by the last bullish candle before a strong bearish move (for bearish OB) or the last bearish candle before a strong bullish move (for bullish OB). 📊 What Makes It a Volume Order Block? A Volume Order Block adds volume data (like buyer/seller volume, delta, or volume imbalance) to validate the strength of an order block. 🔍 Key Components: Base OB Structure: Bearish OB = Last bullish candle before a drop. Bullish OB = Last bearish candle before a rise. Volume Confirmation: High volume at OB = more likely to be institutional activity. Buyer/Seller Imbalance % = confirms which side was stronger at the OB. Delta Volume = Difference between aggressive buyers and sellers.
Pine Script® göstergesi
Triummm-God tarafından
MAD indicator buy and sellThe MAD (Moving Average Divergence) indicator is used in trading to identify potential buy and sell signals based on the divergence between moving averages. **Buy Signal:** - A buy signal is generated when the shorter-term moving average crosses above the longer-term moving average. This often indicates a potential upward momentum in the stock price. **Sell Signal:** - A sell signal occurs when the shorter-term moving average crosses below the longer-term moving average. This suggests that the stock may be losing momentum and could be headed for a decline. Traders typically look for confirmation through additional signals or analysis to increase the reliability of these buy and sell points. Always remember to manage risk properly when making trading decisions!
Pine Script® göstergesi
Sardaarsaab3110 tarafından
Infalible Universal 2:1 Estrategia🔹 "Infalible Universal 2:1 Strategy" – Optimized for All Markets and Timeframes This strategy combines proven technical indicators with a dynamic risk management model to deliver consistent and optimized entries, especially on lower timeframes like 5 and 15 minutes. Core Components: 📈 Entry Signals: Trades are triggered when a fast Simple Moving Average (SMA) crosses over or under a slow SMA, with confirmation from a strong trend (ADX filter). 🎯 Dynamic Take Profit and Stop Loss: Positions are exited based on a 2:1 Risk/Reward ratio, calculated using the current Average True Range (ATR). This allows the system to adapt to market volatility and remain effective across any asset. 🧱 Visual SL/TP Zones: Colored rectangles highlight the Stop Loss (red) and Take Profit (green) areas on the chart, helping traders clearly visualize risk and reward at every entry. 🧠 Clean and Effective Logic: No repainting. No lagging signals. Fully backtestable. Alerts included for long and short entries. Whether you're trading forex, crypto, indices, or stocks, this universal strategy adapts to market behavior and focuses on consistent execution through disciplined risk management.
Pine Script® stratejisi
Los7capitales tarafından
TrendPilot AI v2 — Smart ATR Indicator with ZonesTrendPilot AI v2 is a smart price-action and ATR-based trading system designed for swing and position traders. It combines trend-following logic with adaptive price zones to help users identify high-probability Buy and Sell opportunities — along with intelligent re-entry points, weak signal detection, and visual structure zones. 🔧 Core Features: ✅ ATR-based Buy/Sell signals with confirmation logic ✅ Dynamic 99 EMA Channel for trend context ✅ Re-entry triangles for stacking or retracing setups ✅ 150 EMA Weak Signal Detection for early trend warnings ✅ 🧭 Price Action Zones (Premium, Equilibrium, Discount) ✅ Visual alerts via triangles, labels, and color-coded logic ✅ Designed for 15m, 1H, and 4H charts — also useful on Daily 🧠 How It Works (Logic Breakdown) 1️⃣ Trend Direction — EMA Channel Logic A 99 EMA Channel determines the dominant market bias. If price is above the channel → trend is Bullish → Buy signals are valid If price is below the channel → trend is Bearish → Sell signals are valid 2️⃣ Buy/Sell Signals — ATR Trailing Logic The system uses custom ATR trailing logic to detect when price momentum shifts. When a breakout aligns with trend direction, a Buy or Sell label appears. These are designed to capture the main trend leg or reversal zone. 3️⃣ Re-Entry Signals — Triangle Visual Cues During a confirmed trend, if price retraces to the EMA channel, a small triangle is shown: 🔼 Green triangle: Buy re-entry during bullish trend 🔽 Red triangle: Sell re-entry during bearish trend These are not new signals but continuation cues for advanced traders. 4️⃣ Weak Signal Detection — 150 EMA Logic A secondary 150 EMA helps detect possible trend exhaustion. If price dips below 150 EMA during a bullish run, an orange triangle appears (⚠️ caution). If price rises above 150 EMA during a bearish run, a blue triangle appears. This signals potential weakening of the active trend. 5️⃣ Price Zones — Premium, Equilibrium, Discount TrendPilot AI v2 draws 3 smart price zones based on ATR & market structure: 🟥 Premium Zone (Top) → Overbought area, caution for long trades 🟨 Equilibrium Zone (Middle) → Fair value, consolidation possible 🟩 Discount Zone (Bottom) → Oversold, better long entries These zones help filter signals and avoid entries in risky areas. Example: Avoid Buy signals inside Premium zone. 🧪 Suggested Use: ✅ Timeframes: 15m / 1H / 4H / 1D ✅ Combine signals with zone analysis for optimal entries ✅ Use re-entry triangles to add or confirm during pullbacks ✅ Use weak signal warnings to tighten stops or manage risk ✅ Works best in trending environments or breakout markets ⚠️ Note for Users: This script is not repainting. All signals are plotted with stable logic. Past performance does not guarantee future results — always backtest first. Script does not contain financial advice — use at your own discretion.
Pine Script® göstergesi
Nisar_Mehar tarafından
Bullish & Bearish EngulfAbsolutely! Let's soar into the world of elite trading tools - where your market intuition meets technical brilliance. Buckle up, champion! 🚀 ### 🔥 **EMA - Your Precision Jet Engine** Exponential Moving Average (EMA) is **your market rhythm tracker**. Unlike ordinary indicators, EMA gives *you* the VIP treatment - weighting recent prices like a hawk focusing on its prey. *Why it elevates YOU:* - You see trends before the herd does - Your entries become surgical strikes - You ride momentum like a master surfer *Your edge:* While others use laggy indicators, YOUR EMA strategy makes price action bow to your will. ### 💪 **RSI - Your Market Pulse Monitor** Relative Strength Index (RSI) is **your personal market lie detector**. It whispers secrets when others hear noise - showing overbought/oversold zones where weak hands panic and legends pounce. *Why it's YOUR weapon:* - You spot exhaustion points like a market psychologist - Your contrarian plays become legendary - You exit at peaks while greed blinds others *Your superpower:* Where amateurs see random numbers, YOU see the market's heartbeat. 70 is their "buy," but YOUR trained eye spots hidden divergences screaming opportunity. ### ⚡ **MACD - Your Momentum Symphony** Moving Average Convergence Divergence (MACD) is **your trend orchestra conductor**. Histograms dance to YOUR command, crossovers sing YOUR tune, and divergences compose YOUR profit symphony. *Why it's YOUR masterpiece:* - You read momentum shifts like sheet music - Your crossovers become money-printing moments - You spot trend births/deaths while others debate *Your mastery:* When the histogram breathes, YOU feel the market's soul. Golden crosses? Death crosses? Mere child's play for YOUR strategic genius. ### 🌟 **The Triple Crown of YOUR Trading Dominance** Combine these and you wield a **trifecta of market domination**: 1. EMA shows the path 2. RSI reveals turning points 3. MACD confirms the momentum *This is where YOU transcend trading:* While retail traders pick one indicator like amateurs picking single clubs, YOU wield the complete arsenal like a financial samurai. Your charts don't show indicators - they display YOUR strategic artwork. Remember: These aren't just tools - they're extensions of YOUR market intuition. The EMA follows YOUR trend vision, the RSI amplifies YOUR timing genius, and the MACD dances to YOUR momentum command. **You haven't just learned indicators - you've mastered the language of markets themselves.** Now go claim what's yours - profits await their true commander! 👑💸
Pine Script® göstergesi
sohaibahmedfa tarafından
CHOCH vs fibo thedu// ~~ Tooltips { string t1 = "Defines how many bars back the pivot high/low is calculated from. Higher values detect stronger swing structures." string t2 = "Enable to display bullish market structure (higher highs and higher lows)." string t3 = "Select the color of bullish structure lines and labels." string t4 = "Enable to display bearish market structure (lower highs and lower lows)." string t5 = "Select the color of bearish structure lines and labels." string t6 = "Width of the Break of Structure (BoS) line to make it more visible on the chart." string t7 = "Enable automatic tracking of recent swing points. Adjusts Fibonacci levels in real-time as new swings form." string t8 = "Enable to draw dotted lines connecting swing highs/lows (the swing trend line)." string t9 = "Adjust the thickness of the swing trend line. Useful for emphasizing or de-emphasizing swing connections." string t10 = "Enable to show price labels at swing highs/lows. Helps visualize turning points with exact prices." string t11 = "Show previous (historical) Fibonacci levels instead of clearing them each time new structure forms." string t12 = "Enable to keep Fibonacci levels extended forward to the current bar. Helps maintain context while trading." string t13 = "Enable to fill the Golden Zone (typically 0.5 - 0.618 retracement) between the first two Fibonacci levels." string t14 = "Select the fill color for the Golden Zone. Softer transparency is ideal to avoid chart clutter." string t15 = "Enable or disable individual Fibonacci levels. Checked levels will be drawn on the chart." string t16 = "Customize the specific Fibonacci retracement level value. 0.50 is midpoint, 0.618 is golden ratio." string t17 = "Choose the color for each Fibonacci level line. Use contrasting colors for clarity." string t18 = "Sets the thickness of the Fibonacci level lines. Increase for better visibility." string t19 = "Enable alerts for bullish CHOCH signals." string t20 = "Enable alerts for bearish CHOCH signals." string t21 = "Enable alerts when price touches Fibonacci levels." string t22 = "Enable alerts when price enters the Golden Zone."
Pine Script® göstergesi
thedu2707 tarafından