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Ichimoku BoxIntroducing Ichimoku Box Indicator: Key Features: Customizable Box Periods: Adjustable box periods with default settings of 9, 26, and 52. Shifted Span A and Span B Points: Easily adjustable shifts and colors. Additional Box Option: Capability to add an extra box for more detailed analysis. High and Low Markers: Identifies the highest and lowest candle within each box with distinct markers. Candle Countdown Timer: Displays the remaining candles before a box loses its high or low. Drag-and-Drop Functionality: Move boxes to any position on the chart with a vertical line. Automatic Box Drawing: When the indicator is first applied, a vertical line appears on the mouse cursor, and clicking on any point automatically draws the boxes. How It Works: The indicator allows users to visualize Ichimoku periods as boxes, highlighting key price levels and shifts in market structure. It simplifies the analysis process by providing visual cues and customizable settings for enhanced flexibility.
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CycleSeeker tarafından
1
My scriptThis custom script detects three types of market behavior based on price action and volume: 1. Accumulation Detection (Green triangle ⏶ below bar) Signals that smart money might be buying quietly before a move up. 🔍 Criteria: A volume spike (above average by a multiplier) Flat price movement (small price change compared to candle range) 💡 Why it's useful: Accumulation often happens before a breakout. This gives early signals of potential bullish moves. 2. Distribution Detection (Red triangle ⏷ above bar) Signals that smart money might be unloading before a move down. 🔍 Criteria: Price is moving up Volume is below average (Optionally) RSI is overbought — to increase signal reliability 💡 Why it's useful: Distribution often happens at the top of a move. This helps identify potential reversals or fakeouts. 3. Manipulation Detection (Orange diamond ◆ above bar) Flags potential stop-hunts, fakeouts, or "smart money traps". 🔍 Criteria: A volume spike A large wick (upper or lower) that exceeds your chosen wick ratio 💡 Why it's useful: Large wicks with high volume often signal liquidity grabs — where the market takes out stop losses before reversing. ⚙️ Inputs / Customization You can adjust: Volume Spike Multiplier: Sensitivity of what’s considered high volume Wick Ratio Threshold: How big a wick must be to count as manipulation Price Stability Factor: Defines "flat price" for accumulation RSI Filter: Optional filter to confirm distribution with RSI overbought 📢 Alerts You can set alerts for: Accumulation Distribution Manipulation Just add the indicator to your chart and click "Create Alert", then choose the condition you want. 📈 How to Use It in Trading Confluence: Use this indicator with support/resistance, trendlines, or order blocks Confirm Entries
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aliyousifmohamed_7 tarafından
RSP / VOO 比值指標The RSP/VOO ratio compares the performance of the S&P 500 Equal Weight ETF (RSP) to the S&P 500 Market Cap Weighted ETF (VOO). When the ratio is falling, it indicates that large-cap stocks—especially mega-cap tech names—are outperforming the broader market. In contrast, a rising ratio suggests that smaller and mid-sized companies are catching up or leading, which may signal a healthy broadening of market participation. Investors often use this ratio to identify shifts in market leadership and assess the strength or fragility of a rally.
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littlesun1992 tarafından
Weekly PO3 Market Structure ToolThis script is designed to assist traders in identifying the "Power of Three" (PO3) model on a weekly basis — as taught by ICT (Inner Circle Trader). It automatically plots: - The **Weekly Open**, a crucial reference level for detecting manipulation zones. - **Weekly High and Low**, to frame liquidity zones and potential sweep areas. - A customizable **Manipulation Zone**, calculated as a percentage range above and below the weekly open. The PO3 model breaks market structure into: 1. Accumulation (early-week range) 2. Manipulation (false breakouts and liquidity grabs) 3. Distribution (true directional move) This tool helps visualize those stages and align trades with smart money behavior. Best used on 1H, 4H, or 15M timeframes for clarity. Tip: Combine with FVGs, Order Blocks, and time-of-day filters for enhanced setups.
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onurirmak tarafından
Weekly Open LineThis script is designed to assist traders in identifying the "Power of Three" (PO3) model on a weekly basis — as taught by ICT (Inner Circle Trader). It automatically plots: - The **Weekly Open**, a crucial reference level for detecting manipulation zones. - **Weekly High and Low**, to frame liquidity zones and potential sweep areas. - A customizable **Manipulation Zone**, calculated as a percentage range above and below the weekly open. The PO3 model breaks market structure into: 1. Accumulation (early-week range) 2. Manipulation (false breakouts and liquidity grabs) 3. Distribution (true directional move) This tool helps visualize those stages and align trades with smart money behavior. Best used on 1H, 4H, or 15M timeframes for clarity. Tip: Combine with FVGs, Order Blocks, and time-of-day filters for enhanced setups.
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onurirmak tarafından
VARNI-LINE-CHART//@version=5 indicator("VARNI-LINE-CHART",shorttitle = "VARNI-LINE-CHART", overlay=false) // Input for Index and Expiry Date spot_ = input.string("BANKNIFTY", title = "Spot Symbol", options = , group = "Index") tooltip_day = "Enter the day of the expiry. Add 0 in front if the day is a single digit. For example: 05 instead of 5" tooltip_month = "Enter the month of the expiry. Add 0 in front if the month is a single digit. For example: 06 instead of 6" tooltip_year = "Enter the year of the expiry. Use the last two digits of the year. For example: 24 instead of 2024" _day = input.string("13", title = "Expiry Day", tooltip = tooltip_day, group="Expiry Date") _month = input.string("02", title = "Expiry Month", tooltip = tooltip_month, group="Expiry Date") _year = input.string("25", title = "Expiry Year", tooltip = tooltip_year, group="Expiry Date") // Input for Strikes tooltip_ = "You can select any Strike, and choose to include both strikes or just one" strike_ce = input.int(23500, "Call Strike", tooltip = tooltip_,step = 50, group = "Select Strike") strike_pe = input.int(23500, "Put Strike", tooltip = tooltip_,step = 50, group = "Select Strike") var string spot = na if spot_ == "SENSEX" spot := "BSX" else if spot_ == "BANKEX" spot := "BKX" else spot := spot_ // Option to include both strikes strike_choice = input.string("Combined", title = "Select Strike", options = , group = "Select Strike") // Generate symbols for Call and Put options var string symbol_CE = spot + _year + _month + _day + "C" + str.tostring(strike_ce) var string symbol_PE = spot + _year + _month + _day + "P" + str.tostring(strike_pe) // Request security data for both Call and Put options = request.security(symbol_CE, timeframe.period, ) = request.security(symbol_PE, timeframe.period, ) call_volume = request.security( symbol_CE, timeframe.period , volume ) put_volume = request.security( symbol_PE, timeframe.period , volume ) var float combined_open = 0 var float combined_high = 0 var float combined_low = 0 var float combined_close = 0 var float combined_vol = 0 // Calculate combined premium based on strike choice if strike_choice == "Combined" combined_open := call_open + put_open combined_close := call_close + put_close combined_high := math.max(combined_open, combined_close) combined_low := math.min(combined_open, combined_close) combined_vol := call_volume + put_volume else if strike_choice == "Only Call" combined_open := call_open combined_close := call_close combined_high := call_high combined_low := call_low combined_vol := call_volume else combined_open := put_open combined_close := put_close combined_high := put_high combined_low := put_low combined_vol := put_volume // Plot combined premium as a line chart plot(combined_close, title = "Combined Premium", color = combined_close > combined_open ? color.green : color.red, linewidth = 2) // Indicator selection use_ema_crossover = input.bool(false, title = "Use EMA Crossover", group = "Indicators") use_supertrend = input.bool(false, title = "Use Supertrend", group = "Indicators") use_vwap = input.bool(true, title = "Use VWAP", group = "Indicators") use_rsi = input.bool(false, title = "Use RSI", group = "Indicators") use_sma = input.bool(false, title = "Use SMA", group = "Indicators") pine_supertrend_value(factor, atrPeriod) => src = combined_close atr = ta.atr(atrPeriod) upperBand = src + factor * atr lowerBand = src - factor * atr prevLowerBand = nz(lowerBand ) prevUpperBand = nz(upperBand ) lowerBand := lowerBand > prevLowerBand or combined_close < prevLowerBand ? lowerBand : prevLowerBand upperBand := upperBand < prevUpperBand or combined_close > prevUpperBand ? upperBand : prevUpperBand int _direction = na float superTrend = na prevSuperTrend = superTrend if na(atr ) _direction := 1 else if prevSuperTrend == prevUpperBand _direction := combined_close > upperBand ? -1 : 1 else _direction := combined_close < lowerBand ? 1 : -1 superTrend := _direction == -1 ? lowerBand : upperBand superTrend pine_supertrend_dir(factor, atrPeriod) => src = combined_close atr = ta.atr(atrPeriod) upperBand = src + factor * atr lowerBand = src - factor * atr prevLowerBand = nz(lowerBand ) prevUpperBand = nz(upperBand ) lowerBand := lowerBand > prevLowerBand or combined_close < prevLowerBand ? lowerBand : prevLowerBand upperBand := upperBand < prevUpperBand or combined_close > prevUpperBand ? upperBand : prevUpperBand int _direction = na float superTrend = na prevSuperTrend = superTrend if na(atr ) _direction := 1 else if prevSuperTrend == prevUpperBand _direction := combined_close > upperBand ? -1 : 1 else _direction := combined_close < lowerBand ? 1 : -1 superTrend := _direction == -1 ? lowerBand : upperBand _direction // Input for EMA lengths fastLength = input.int(7, 'Fast EMA Length', group = "EMA") slowLength = input.int(12, 'Slow EMA Length', group = "EMA") // Input for SuperTrend atrLength = input.int(7, 'ATR Length', group = "SuperTrend") fac = input.float(2, 'Factor', group = "SuperTrend") // Input for RSI rsi_length = input.int(7, 'Length', group="RSI") rsi_ob_level = input.int(80, 'Overbought', group="RSI") rsi_os_level = input.int(20, 'Oversold', group="RSI") // Input for SMA sma_length = input.int(7, 'SMA Length', group = "SMA") var float fast_ema = na var float slow_ema = na var float supertrend = na var int direction = na var float rsi_val = na var float sma_val = na var float sumPriceVolume = na var float sumVolume = na var float vwap = na // Fast EMA if use_ema_crossover fast_ema := ta.ema(combined_close, fastLength) slow_ema := ta.ema(combined_close, slowLength) // Supertrend if use_supertrend supertrend := pine_supertrend_value( fac, atrLength) direction := pine_supertrend_dir( fac, atrLength) // VWAP if use_vwap if (dayofweek != dayofweek ) sumPriceVolume := 0.0 sumVolume := 0.0 vwap := 0.0 sumPriceVolume += combined_close * combined_vol sumVolume += combined_vol vwap := sumPriceVolume / sumVolume // RSI if use_rsi rsi_val := ta.rsi(combined_close, rsi_length) // SMA if use_sma sma_val := ta.sma(combined_close, sma_length) plot(fast_ema, title='Fast EMA', color=color.blue, linewidth=2) plot(slow_ema, title='Slow EMA', color=color.yellow, linewidth=2) plot(direction < 0 ? supertrend : na, "Up direction", color = color.green, style=plot.style_linebr) plot(direction > 0 ? supertrend : na, "Down direction", color = color.red, style=plot.style_linebr) plot(vwap, title='VWAP', color=color.purple, linewidth=2) plot(sma_val, title='SMA', color=color.maroon, linewidth=2) // Define buy and sell conditions based on selected indicators var bool buy = false var bool sell = false var int buyC = 0 var int sellC = 0 if dayofweek != dayofweek buyC := 0 sellC := 0 if use_ema_crossover buy := ( ta.crossover(fast_ema, slow_ema) ) and buyC == 0 sell := ( ta.crossunder(fast_ema, slow_ema) ) and sellC == 0 if use_vwap buy := ( buy ? buy and (combined_close > vwap and combined_close <= vwap ) : (combined_close > vwap and combined_close <= vwap )) and buyC == 0 sell := ( sell ? sell and (combined_close < vwap and combined_close >= vwap ) : (combined_close < vwap and combined_close >= vwap )) and sellC == 0 if use_rsi buy := ( buy ? buy and ta.crossover(rsi_val, rsi_ob_level) : ta.crossover(rsi_val, rsi_ob_level) ) and buyC == 0 sell := ( sell ? sell and ta.crossunder(rsi_val, rsi_os_level) : ta.crossunder(rsi_val, rsi_os_level) ) and sellC == 0 if use_sma buy := ( buy ? buy and ta.crossover(combined_close, sma_val) : ta.crossover(combined_close, sma_val) ) and buyC == 0 sell := ( sell ? sell and ta.crossunder(combined_close, sma_val) : ta.crossunder(combined_close, sma_val) ) and sellC == 0 if use_supertrend buy := ( buy ? direction == -1 : direction == -1 and direction == 1 ) and buyC == 0 sell := ( sell ? direction == 1 : direction == 1 and direction == -1 ) and sellC == 0 if buy buyC := 1 sellC := 0 if sell sellC := 1 buyC := 0 // Plot buy and sell signals plotshape(buy, title = "Buy", text = 'Buy', style = shape.labeldown, location = location.top, color= color.green, textcolor = color.white, size = size.small) plotshape(sell, title = "Sell", text = 'Sell', style = shape.labelup, location = location.bottom, color= color.red, textcolor = color.white, size = size.small) // Alert conditions alertcondition(buy, "Buy Alert", "Buy Signal") alertcondition(sell, "Sell Alert", "Sell Signal")
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Mayursrivastav tarafından
Session Makers v1 Session Makers v1 - Professional Trading Session Visualizer This advanced indicator highlights key trading sessions and market structure levels, helping traders identify optimal trading times and important price levels. Key Features: Session Time Markers - Vertical dotted lines at major market opens (London/New York) - Appears 30 minutes before each session for early preparation Interactive Session Boxes - Asia Session (22:00-06:00 GMT) - Blue shaded area - London AM (08:00-09:00 GMT) - Gray shaded area - London/New York Overlap (14:00-15:00 GMT) - Gray shaded area Key Reference Levels - Yesterday's high/low (with touch alerts) - Previous week's high/low (with touch alerts) - Asia session high/low/mid lines Smart Visual Design - Clean, non-cluttered visuals that adapt to your chart - Customizable colors and transparency for all elements - Optimized for all timeframes (M1-H4) only use in timeframes <= 15 min
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aedem tarafından
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daochengphang tarafından