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Indicators and strategies

AAKASH 2025This powerful TradingView script, "AAKASH," offers traders an intuitive way to visualize market trends and easily spot key entry and exit signals. By dynamically changing candle colors, it provides a clear visual cue of market conditions. Candles turn green when the price is trending upwards or when a buy signal occurs, and red when the price is trending downwards or a sell signal is triggered. This dynamic color change ensures that traders can instantly recognize shifts in market momentum, making it easier to time trades. Buy and sell signals are clearly marked with labels, positioned below bars for buys and above bars for sells, making them easy to spot. This script seamlessly integrates trend-following analysis with price action, giving traders the confidence to make well-informed decisions. With its easy-to-read visual cues, "AAKASH" is the perfect tool for anyone looking to enhance their trading strategy and react faster to market movements.
Pine Script™ indicator
by patelakx
Volatility Momentum Breakout StrategyDescription: Overview: The Volatility Momentum Breakout Strategy is designed to capture significant price moves by combining a volatility breakout approach with trend and momentum filters. This strategy dynamically calculates breakout levels based on market volatility and uses these levels along with trend and momentum conditions to identify trade opportunities. How It Works: 1. Volatility Breakout: • Methodology: The strategy computes the highest high and lowest low over a defined lookback period (excluding the current bar to avoid look-ahead bias). A multiple of the Average True Range (ATR) is then added to (or subtracted from) these levels to form dynamic breakout thresholds. • Purpose: This method helps capture significant price movements (breakouts) while ensuring that only past data is used, thereby maintaining realistic signal generation. 2. Trend Filtering: • Methodology: A short-term Exponential Moving Average (EMA) is applied to determine the prevailing trend. • Purpose: Long trades are considered only when the current price is above the EMA, indicating an uptrend, while short trades are taken only when the price is below the EMA, indicating a downtrend. 3. Momentum Confirmation: • Methodology: The Relative Strength Index (RSI) is used to gauge market momentum. • Purpose: For long entries, the RSI must be above a mid-level (e.g., above 50) to confirm upward momentum, and for short entries, it must be below a similar threshold. This helps filter out signals during overextended conditions. Entry Conditions: • Long Entry: A long position is triggered when the current closing price exceeds the calculated long breakout level, the price is above the short-term EMA, and the RSI confirms momentum (e.g., above 50). • Short Entry: A short position is triggered when the closing price falls below the calculated short breakout level, the price is below the EMA, and the RSI confirms momentum (e.g., below 50). Risk Management: • Position Sizing: Trades are sized to risk a fixed percentage of account equity (set here to 5% per trade in the code, with each trade’s stop loss defined so that risk is limited to approximately 2% of the entry price). • Stop Loss & Take Profit: A stop loss is placed a fixed ATR multiple away from the entry price, and a take profit target is set to achieve a 1:2 risk-reward ratio. • Realistic Backtesting: The strategy is backtested using an initial capital of $10,000, with a commission of 0.1% per trade and slippage of 1 tick per bar—parameters chosen to reflect conditions faced by the average trader. Important Disclaimers: • No Look-Ahead Bias: All breakout levels are calculated using only past data (excluding the current bar) to ensure that the strategy does not “peek” into future data. • Educational Purpose: This strategy is experimental and provided solely for educational purposes. Past performance is not indicative of future results. • User Responsibility: Traders should thoroughly backtest and paper trade the strategy under various market conditions and adjust parameters to fit their own risk tolerance and trading style before live deployment. Conclusion: By integrating volatility-based breakout signals with trend and momentum filters, the Volatility Momentum Breakout Strategy offers a unique method to capture significant price moves in a disciplined manner. This publication provides a transparent explanation of the strategy’s components and realistic backtesting parameters, making it a useful tool for educational purposes and further customization by the TradingView community.
Pine Script™ strategy
by cryptechcapital
Nadaraya-Watson Band AlertNadaraya Watson upper and lower band when they break this strategy gives an alert Input Parameters length = input.int(100, title="Smoothing Length") // Controls N-W smoothness band_multiplier = input.float(2.5, title="Band Multiplier") // Adjusts envelope width 🔴 Compute Band Width Using Standard Deviation dev = ta.stdev(close, length) upper_band = mid_band + (band_multiplier * dev) lower_band = mid_band - (band_multiplier * dev)
Pine Script™ indicator
by intuitivestrategies1
Wyckoff Buy/Sell with Improved SignalsThis script implements a trading strategy based on the Wyckoff Method for market cycle analysis, with improved buy and sell signals confirmed by MACD , Volume Analysis , and EMA Crossovers . - Buy Signals : Triggered by Wyckoff's Accumulation and Markup phases, confirmed by MACD bullish crossovers, high volume , and buy pressure . - Sell Signals : Triggered by Wyckoff's Distribution** and Markdown** phases, confirmed by MACD bearish crossovers, **high volume , and sell pressure . - Buy/Sell Prices : Displays the exact buy and sell prices on the chart for easy tracking. - Alerts : Custom alerts are configured to notify you when a buy or sell signal is triggered. This script helps identify potential buy and sell opportunities by analyzing market phases and utilizing key indicators to confirm the signals.
Pine Script™ indicator
by farshidhesami
GpPa Fixed Range VWAP & Standard DeviationsGpPa Fixed Range VWAP & Standard Deviations Este indicador permite analizar un rango de tiempo específico calculando el VWAP (Precio Promedio Ponderado por Volumen) junto con sus niveles de desviación estándar. Utilizando el precio HLC3 y el volumen, el script determina el VWAP del período seleccionado y traza niveles de volatilidad a 0.5, 1.0, 1.5 y 2.0 desviaciones estándar por encima y por debajo del VWAP. Además, se marcan visualmente el inicio y el fin del rango mediante líneas verticales, facilitando la identificación de zonas de soporte, resistencia y posibles puntos de reversión en función de la volatilidad del precio. Personaliza fácilmente el rango de análisis y los colores del VWAP, los niveles de desviación y las líneas, adaptándolo a tus necesidades de trading.
Pine Script™ indicator
by ricardo_ndns
Dynamic Trend Navigator AI [CodingView]Dynamic Trend Navigator AI Strategy Documentation Strategy Overview This trend-following algorithm uses proprietary smoothing techniques to identify market trends and execute positions with integrated risk management. Designed for swing trading across various liquid markets. Key Features 🟢 Dual-layer trend analysis using custom exponential smoothing 🔴 Automated entry/exit signals with visual indicators ⚖️ Position sizing by equity percentage (default 100%) 🛡️ Configurable risk management (profit targets & stop-loss) 📈 Clean visual presentation with real-time signals Input Parameters Trend Configuration Primary Trend Window (9): Short-term trend sensitivity Secondary Trend Window (30): Long-term market phase reference Risk Management Profit Target Points (30): Points from entry for take-profit Stop-Loss Points (30): Points from entry for risk cutoff Activate Risk Controls (On/Off): Toggle risk features How to Use Apply to Chart Add to preferred trading instrument (1H+ timeframes recommended) Default settings work for most markets - adjust parameters as needed Signal Interpretation ▲ Green Arrow: Bullish trend signal (potential long entry) ▼ Red Arrow: Bearish trend signal (potential short entry) Green Line: Short-term trend indicator Red Line: Long-term market phase reference Position Management Entries automatically execute on signal confirmation Exits occur at target/stop levels or counter-signal Monitor active positions via strategy tester Risk Considerations ➖ Trend-following systems can underperform in ranging markets ➖ Fixed point targets may require adjustment for volatility ➖ Default 100% position sizing carries high risk - modify according to risk tolerance ➖ Backtest results don't guarantee future performance Recommended Markets Forex Majors (EURUSD, GBPUSD) Equity Indices (SPX, DAX) Liquid Commodities (Gold, Crude Oil) Disclaimer ❗ Important Notice This strategy is for educational purposes only Past performance ≠ future results TheCodingView Team not responsible for trading losses Users must validate strategy in demo environment before live use Not financial advice - trade at your own risk Support & Contact 🛠️ Technical Assistance: support@theCodingView.com 🌐 Website: www.theCodingView.com Best Practices Start with 50% position sizing Test across multiple market conditions Adjust targets/stops according to asset volatility Combine with fundamental analysis Monitor drawdowns regularly Version Notes v2.0 (Current): Enhanced smoothing algorithm Simplified risk management interface Improved visual clarity Optimized backtest logic
Pine Script™ strategy
by CodingView_23
Liquidity crypt //@version=5 indicator(" 💧TFO_LVL_OI_LIQ 💧 ", " 💧TFO_LVL_OI_LIQ 💧", true, max_bars_back=5000, max_lines_count = 500, max_polylines_count = 100, max_labels_count = 500, max_boxes_count = 500) string userSymbol = 'BINANCE' + ":" + string(syminfo.basecurrency) + 'USDT.P' string Formula = str.format("{0}_OI", userSymbol) OI = request.security(Formula, timeframe.period, close) OI_delta = OI - nz(OI ) maLength = input(60, title="MA Length") numOfLines = 500 OI_delta_MA = ta.sma(OI_delta, maLength) OI_delta_abs = math.abs(OI_delta) OI_delta_abs_MA = ta.sma(OI_delta_abs, maLength) h3 = input(3.0, title="Large Liquidation Level") h2 = input(2.0, title="Middle Liquidation Level") h1 = input(1.2, title="Small Liquidation Level") OI_delta_open_h3 = (OI_delta_abs >= OI_delta_abs_MA * h3) and OI_delta > 0 OI_delta_open_h2 = (OI_delta_abs >= OI_delta_abs_MA * h2 and OI_delta_abs < OI_delta_abs_MA * h3) and OI_delta > 0 OI_delta_open_h1 = (OI_delta_abs >= OI_delta_abs_MA * h1 and OI_delta_abs < OI_delta_abs_MA * h2) and OI_delta > 0 kline_price = (open + close + high + low) / 4 showLine = input(true, title="Show lines") showHist = input(true, title="Show histgram") showLocalOnly = input(true, title="Only show local liquidation levels") i_5xColor = input.color(#626367a2, '5x Leverage color', group='5x Leverage') i_10xColor = input.color(#017cff7a, '10x Leverage color', group='10x Leverage') i_25xColor = input.color(#0dff0064, '25x Leverage color', group='25x Leverage') i_50xColor = input.color(#f0a02966, '50x Leverage color', group='50x Leverage') i_100xColor = input.color(color.rgb(218, 55, 101, 44), '100x Leverage color', group='100x Leverage') var h3Array = array.new_line() var h2Array = array.new_line() var h1Array = array.new_line() // histgram barColor = input(color.rgb(0, 55, 254, 4), "Bar Color") numOfBars = input(120, 'Number of bars to lookback') distLastCandle = input(5, 'Histgram distance from last candle') local_high = ta.highest(high, numOfBars) local_low = ta.lowest(low, numOfBars) rangeHigh = local_high * (1 + local_high / local_low / 10) rangeLow = local_low * (1 - local_high / local_low / 10) rangeHeight = rangeHigh - rangeLow numOfHistograms = input(120, 'Number of histograms (<=120)') histogramHeight = rangeHeight / numOfHistograms histogramLowList = array.new_float(numOfHistograms, na) histogramHighList = array.new_float(numOfHistograms, na) histogramData = array.new_float() histogramtargetList = array.new_float(numOfHistograms, 0.0) var Bars = array.new_box(numOfHistograms, na) // Clean up drawings every tick for i=0 to numOfHistograms - 1 box.delete(array.get(Bars, i)) f_drawLine(_x1, _x2, _yValue, _lineColor, _style, _width) => line.new(x1=_x1, y1=_yValue, x2=_x2, y2=_yValue, color=_lineColor, style=_style, width=_width) f_extendArray(_lineArray, _extendLines) => if array.size(_lineArray) > 0 for _i = array.size(_lineArray) - 1 to 0 by 1 x2 = line.get_x2(array.get(_lineArray, _i)) yValue = line.get_y1(array.get(_lineArray, _i)) if _extendLines or bar_index - 1 == x2 - 1 and not(high > yValue and low < yValue) line.set_x2(array.get(_lineArray, _i), bar_index + 1) if bar_index == last_bar_index array.push(histogramData, yValue) f_calculateLeverage100x(_pivotValue, _shortSell) => _shortSell ? _pivotValue * (1 - 0.01) : _pivotValue * (1 + 0.01) f_calculateLeverage50x( _pivotValue, _shortSell) => _shortSell ? _pivotValue * (1 - 0.02) : _pivotValue * (1 + 0.02) f_calculateLeverage25x(_pivotValue, _shortSell) => _shortSell ? _pivotValue * (1 - 0.04) : _pivotValue * (1 + 0.04) f_calculateLeverage10x(_pivotValue, _shortSell) => _shortSell ? _pivotValue * (1 - 0.1) : _pivotValue * (1 + 0.1) f_calculateLeverage5x(_pivotValue, _shortSell) => _shortSell ? _pivotValue * (1 - 0.2) : _pivotValue * (1 + 0.2) float yValue = na int x1 = na int x2 = na line l = na x1 := bar_index x2 := bar_index f_append(Array, l) => if array.size(Array) == numOfLines line.delete(array.shift(Array)) array.push(Array, l) if OI_delta_open_h3 yValue := f_calculateLeverage5x(kline_price, true) l := f_drawLine(x1, x2, yValue, i_5xColor, line.style_solid, 1) f_append(h3Array, l) yValue := f_calculateLeverage5x(kline_price, false) l := f_drawLine(x1, x2, yValue, i_5xColor, line.style_solid, 1) f_append(h3Array, l) yValue := f_calculateLeverage10x(kline_price, true) l := f_drawLine(x1, x2, yValue, i_10xColor, line.style_solid, 1) f_append(h3Array, l) yValue := f_calculateLeverage10x(kline_price, false) l := f_drawLine(x1, x2, yValue, i_10xColor, line.style_solid, 1) f_append(h3Array, l) yValue := f_calculateLeverage25x(kline_price, true) l := f_drawLine(x1, x2, yValue, i_25xColor, line.style_solid, 1) f_append(h3Array, l) yValue := f_calculateLeverage25x(kline_price, false) l := f_drawLine(x1, x2, yValue, i_25xColor, line.style_solid, 1) f_append(h3Array, l) yValue := f_calculateLeverage50x(kline_price, true) l := f_drawLine(x1, x2, yValue, i_50xColor, line.style_solid, 1) f_append(h3Array, l) yValue := f_calculateLeverage50x(kline_price, false) l := f_drawLine(x1, x2, yValue, i_50xColor, line.style_solid, 1) f_append(h3Array, l) yValue := f_calculateLeverage100x(kline_price, true) l := f_drawLine(x1, x2, yValue, i_100xColor, line.style_solid, 1) f_append(h3Array, l) yValue := f_calculateLeverage100x(kline_price, false) l := f_drawLine(x1, x2, yValue, i_100xColor, line.style_solid, 1) f_append(h3Array, l) if OI_delta_open_h2 yValue := f_calculateLeverage10x(kline_price, true) l := f_drawLine(x1, x2, yValue, i_10xColor, line.style_solid, 1) f_append(h2Array, l) yValue := f_calculateLeverage10x(kline_price, false) l := f_drawLine(x1, x2, yValue, i_10xColor, line.style_solid, 1) f_append(h2Array, l) yValue := f_calculateLeverage25x(kline_price, true) l := f_drawLine(x1, x2, yValue, i_25xColor, line.style_solid, 1) f_append(h2Array, l) yValue := f_calculateLeverage25x(kline_price, false) l := f_drawLine(x1, x2, yValue, i_25xColor, line.style_solid, 1) f_append(h2Array, l) yValue := f_calculateLeverage50x(kline_price, true) l := f_drawLine(x1, x2, yValue, i_50xColor, line.style_solid, 1) f_append(h2Array, l) yValue := f_calculateLeverage50x(kline_price, false) l := f_drawLine(x1, x2, yValue, i_50xColor, line.style_solid, 1) f_append(h2Array, l) yValue := f_calculateLeverage100x(kline_price, true) l := f_drawLine(x1, x2, yValue, i_100xColor, line.style_solid, 1) f_append(h2Array, l) yValue := f_calculateLeverage100x(kline_price, false) l := f_drawLine(x1, x2, yValue, i_100xColor, line.style_solid, 1) f_append(h2Array, l) if OI_delta_open_h1 yValue := f_calculateLeverage25x(kline_price, true) l := f_drawLine(x1, x2, yValue, i_25xColor, line.style_dotted, 1) f_append(h1Array, l) yValue := f_calculateLeverage25x(kline_price, false) l := f_drawLine(x1, x2, yValue, i_25xColor, line.style_dotted, 1) f_append(h1Array, l) yValue := f_calculateLeverage50x(kline_price, true) l := f_drawLine(x1, x2, yValue, i_50xColor, line.style_dotted, 1) f_append(h1Array, l) yValue := f_calculateLeverage50x(kline_price, false) l := f_drawLine(x1, x2, yValue, i_50xColor, line.style_dotted, 1) f_append(h1Array, l) yValue := f_calculateLeverage100x(kline_price, true) l := f_drawLine(x1, x2, yValue, i_100xColor, line.style_dotted, 1) f_append(h1Array, l) yValue := f_calculateLeverage100x(kline_price, false) l := f_drawLine(x1, x2, yValue, i_100xColor, line.style_dotted, 1) f_append(h1Array, l) f_extendArray(h3Array, false) f_extendArray(h2Array, false) f_extendArray(h1Array, false) // draw hist if barstate.islast and showHist // Define lows and highs of the histograms for i = 0 to numOfHistograms - 1 histogramLow = rangeLow + histogramHeight * i histogramHigh = rangeLow + histogramHeight * (i + 1) array.set(histogramLowList, i, histogramLow) array.set(histogramHighList, i, histogramHigh) for i = 0 to array.size(histogramData) - 1 y = array.get(histogramData, i) for j = 0 to numOfHistograms - 1 histogramLow = array.get(histogramLowList, j) histogramHigh = array.get(histogramHighList, j) if y >= histogramLow and y <= histogramHigh array.set(histogramtargetList, j, array.get(histogramtargetList, j) + 1) for i = 0 to numOfHistograms - 1 histogramLow = array.get(histogramLowList, i) histogramHigh = array.get(histogramHighList, i) histogramtarget = array.get(histogramtargetList, i) histogramWidth = math.floor((histogramtarget + 0.49) * 2) // Draw histograms array.set(Bars, i, box.new(left=bar_index + distLastCandle, top=histogramHigh, right=bar_index + distLastCandle + histogramWidth, bottom=histogramLow, bgcolor=barColor, border_color=barColor)) if barstate.islast and not showLine for i=0 to array.size(h3Array) - 1 line.delete(array.get(h3Array, i)) for i=0 to array.size(h2Array) - 1 line.delete(array.get(h2Array, i)) for i=0 to array.size(h1Array) - 1 line.delete(array.get(h1Array, i)) else if barstate.islast and showLocalOnly for i=0 to array.size(h3Array) - 1 if line.get_y1(array.get(h3Array, i)) < rangeLow or line.get_y1(array.get(h3Array, i)) > rangeHigh line.delete(array.get(h3Array, i)) for i=0 to array.size(h2Array) - 1 if line.get_y1(array.get(h2Array, i)) < rangeLow or line.get_y1(array.get(h2Array, i)) > rangeHigh line.delete(array.get(h2Array, i)) for i=0 to array.size(h1Array) - 1 if line.get_y1(array.get(h1Array, i)) < rangeLow or line.get_y1(array.get(h1Array, i)) > rangeHigh line.delete(array.get(h1Array, i)) // Volume Profile Inputs var g_VP = "Volume Profile" rows = input.int(200, "Rows", tooltip = "The number of price levels/rows that will be used to approximate the cumulative volume profile", group = g_VP) tf = input.timeframe("D", "Profile Timeframe", tooltip = "The aggregate timeframe that the volume profile represents", group = g_VP) ltf = input.timeframe("1", "Resolution Timeframe", tooltip = "The timeframe whose price data will be used to build the volume profile", group = g_VP) extend = input.int(100, "Profile Extend %", 0, 100, tooltip = "How much the volume profile should extend to the next session", group = g_VP) vp_color = input.color(color.new(color.blue, 70), "Profile Color", tooltip = "The color of the volume profile", group = g_VP) // Volume Point of Control Inputs var g_VPOC = "Volume Point of Control" show_vpoc = input.bool(true, "Show VPOC", inline = "VPOC", tooltip = "Whether to show the volume point of control (VPOC), or the level with the largest volume in a given volume profile", group = g_VPOC) vpoc_color = input.color(color.yellow, "", inline = "VPOC", group = g_VPOC) ext_vpoc = input.bool(true, "Extend Last N VPOCs", inline = "EXT", tooltip = "Whether to extend the last N number of VPOCs to the right of the chart", group = g_VPOC) ext_n_vpoc = input.int(5, "", 0, 100, inline = "EXT", group = g_VPOC) vpoc_label_above = input.timeframe("D", "Show Labels Above", tooltip = "With extend last N VPOCs turned on, labels displaying the date of said VPOCs will be shown when the profile timeframe is greater than or equal to this", group = g_VPOC) vpoc_label_size = input.string('Normal', "Label Size", options = , tooltip = "The size of VPOC date labels", group = g_VPOC) vpoc_width = input.int(2, "Line Width", tooltip = "The width of VPOC lines", group = g_VPOC) // High Volume Nodes Inputs var g_HVN = "High Volume Nodes" show_hvn = input.bool(true, "Show Previous HVNs", inline = "HVN", tooltip = "Whether to show high volume nodes (HVNs) from the previous session. Using the previous session's close, HVNs above this price will use the first color, and HVNs below this price will use the second color", group = g_HVN) hvn_color_bull = input.color(color.new(color.teal, 70), "", inline = "HVN", group = g_HVN) hvn_color_bear = input.color(color.new(color.red, 70), "", inline = "HVN", group = g_HVN) hvn_strength = input.int(10, "HVN Strength", tooltip = "HVNs are validated when a given level in the volume profile contains more volume than this many rows both above and below it", group = g_HVN) hvn_type = input.string("Areas", "HVN Type", options = , tooltip = "Whether to display HVNs as levels (lines) or areas (boxes). Levels use a solid line to denote the prior session's VPOC, and dotted lines for all other HVNs", group = g_HVN) hvn_width = input.int(1, "Line Width", tooltip = "The width of HVN lines, if the HVN type is selected as levels", group = g_HVN) // Bubbles AcadAlgo Inputs showBubbles = input.bool(true, "Display Bubbles", group="Bubbles", inline="1") useHeatMap = input.bool(false, "Enable HeatMap", group="Bubbles") showLevels = input.bool(false, "Highlight Significant Levels", group="Volume Levels") levelsCount = input.int(10, "Number of Levels", group="Volume Levels") mainColor = input.color(color.green, "Main Color", group="Colors") heatMapColor1 = input.color(color.new(color.aqua, 50), "HeatMap Color 1", group="Colors") heatMapColor2 = input.color(color.new(color.green, 50), "HeatMap Color 2", group="Colors") heatMapColor3 = input.color(color.new(color.yellow, 50), "HeatMap Color 3", group="Colors") heatMapColor4 = input.color(color.new(color.orange, 30), "HeatMap Color 4", group="Colors") heatMapColor5 = input.color(#d32626, "HeatMap Color 5", group="Colors") calculateInDollars = input.bool(false, "Calculate Volume in Dollars", group="Volume Options") volumeFilterOn = input.bool(true, "Enable Volume Filter", group="Volume Filters") // Toggle button for volume filter minVolumeDollars = input.float(100, "Minimum Volume ($)", minval=1, group="Volume Filters") maxVolumeDollars = input.float(1000000000000, "Maximum Volume ($)", minval=1, group="Volume Filters") // SPL Level Inputs swingSizeR = input.int(10, 'Bars Right-Left', inline='brl') swingSizeL = input.int(15, '-', inline='brl') showBoxes = input.bool(true, 'Show Boxes ', inline='aa') showSwingLines = input.bool(true, 'Show Lines', inline='aa') showBubblesSPL = input.bool(true, 'Show Labels ', inline='bb') showVol = input.bool(false, 'Show Volume', inline='bb') showOId = input.bool(false, 'Show OI Δ   ', inline='cc') extendtilfilled = input.bool(true, 'Extend Until Fill', inline='cc') hidefilled = input.bool(false, 'Hide Filled', group='Conditions') voltresh = input.int(0, 'Volume >', group='Conditions') oitresh = input.int(0, 'OI Δ (abs.) >', group='Conditions') pnoid = input.string('/', 'Only Swings With', options= , group='Conditions') showhighs = input.bool(true, '', inline='sh', group='Appearance') showlows = input.bool(true, '', inline='sl', group='Appearance') sellcol = input.color(#aa2430, 'Lows (Line - Label - Box)', inline='sh', group='Appearance') buycol = input.color(#66bb6a, 'Highs (Line - Label - Box)', inline='sl', group='Appearance') sellcolB = input.color(#aa2430, '', inline='sh', group='Appearance') buycolB = input.color(#66bb6a, '', inline='sl', group='Appearance') sellboxCol = input.color(#80192231, '', inline='sh', group='Appearance') buyboxCol = input.color(#66bb6a31, '', inline='sl', group='Appearance') lineStyle = input.string('Dotted', 'Line Style + Width', , inline='l', group='Appearance') lineWid = input.int(1, '', inline='l', group='Appearance') boxWid = input.float(0.7, 'Box Width + Type ', step=0.1, inline='xx', group='Appearance') boxStyle = input.string('TYPE 1', '', options= , inline='xx', group='Appearance') labelsize = input.string('Size: Tiny', 'Text Style        ', options= , inline='txt', group='Appearance' ) texthalign = input.string('Right','', options= , inline='txt', group='Appearance') lookback = input.bool(false, '', inline='lb') daysBack = input.float(150, 'Lookback (D)               ',inline='lb') binance = input.bool(true, 'Binance USDT.P', inline='src', group='Open Interest') binance2 = input.bool(true, 'Binance USD.P', inline='src', group='Open Interest') binance3 = input.bool(true, 'Binance BUSD.P', inline='src2', group='Open Interest') bitmex = input.bool(true, 'BitMEX USD.P', inline='src2', group='Open Interest') bitmex2 = input.bool(true, 'BitMEX USDT.P ', inline='src3', group='Open Interest') kraken = input.bool(true, 'Kraken USD.P', inline='src3', group='Open Interest') // Calculating inRange, used for lookback in days MSPD = 24 * 60 * 60 * 1000 lastBarDate = timestamp(year(timenow), month(timenow), dayofmonth(timenow), hour(timenow), minute(timenow), second(timenow)) thisBarDate = timestamp(year, month, dayofmonth, hour, minute, second) daysLeft = math.abs(math.floor((lastBarDate - thisBarDate) / MSPD)) inRange = lookback ? (daysLeft < daysBack) : true // Volume Profile Variables var vpoc = array.new_line() var dates = array.new_label() var values = array.new_float() var x_vol = array.new_int() var y_vol = array.new_float() var hvn_lines = array.new_line() var hvn_boxes = array.new_box() var hvn_Ly = array.new_float() var hvn_By = array.new_float() var PLA = array.new() var polyline PL = na var line temp_vpoc = na var int lb_idx = na var int lb_time = na // SPL Level Variables int prevHighIndex= na, int prevLowIndex= na, bool highActive= false, bool lowActive= false, bool h= false, bool lv= false pivHi = ta.pivothigh(high, swingSizeL, swingSizeR) pivLo = ta.pivotlow(low, swingSizeL, swingSizeR) if not na(pivHi) h := true prevHighIndex := bar_index - swingSizeR if not na(pivLo) lv := true prevLowIndex := bar_index - swingSizeR // Getting OI data mex = syminfo.basecurrency == 'BTC' ? 'XBT' : string(syminfo.basecurrency) oid1 = nz(request.security('BINANCE:' + string(syminfo.basecurrency) + 'USDT.P_OI', timeframe.period, close - close , ignore_invalid_symbol=true), 0) oid2 = nz(request.security('BINANCE:' + string(syminfo.basecurrency) + 'USD.P_OI', timeframe.period, close - close , ignore_invalid_symbol=true), 0) oid3 = nz(request.security('BINANCE:' + string(syminfo.basecurrency) + 'BUSD.P_OI', timeframe.period, close - close , ignore_invalid_symbol=true), 0) oid4 = nz(request.security('BITMEX:' + mex + 'USD.P_OI', timeframe.period, close - close , ignore_invalid_symbol=true), 0) oid5 = nz(request.security('BITMEX:' + mex + 'USDT.P_OI', timeframe.period, close - close , ignore_invalid_symbol=true), 0) oid6 = nz(request.security('KRAKEN:' + string(syminfo.basecurrency) + 'USD.P_OI', timeframe.period, close - close , ignore_invalid_symbol=true), 0) deltaOI = (binance ? nz(oid1, 0) : 0) + (binance2 ? nz(oid2, 0) / close : 0) + (binance3 ? nz(oid3, 0) : 0) + (bitmex ? nz(oid4, 0) / close : 0) + (bitmex2 ? nz(oid5, 0) / close : 0) + (kraken ? nz(oid6, 0) / close : 0) // Volume, OI, box width vol = volume oitreshcond = oitresh > 0 ? math.abs(deltaOI ) > oitresh : true voltreshcond = voltresh > 0 ? vol > voltresh : true oicond = pnoid == 'Positive OI Delta' ? deltaOI > 0 : pnoid == 'Negative OI Delta' ? deltaOI < 0 : true CLEAR = color.rgb(0, 0, 0, 100) boxWid1 = 0.001 * boxWid // Styles boxStyle(x) => switch x 'TYPE 1' => h ? pivHi : lv ? pivLo : na 'TYPE 2' => h ? pivHi * (1 - boxWid1) : lv ? pivLo * (1 + boxWid1) : na lineStyle(x) => switch x 'Solid' => line.style_solid 'Dashed' => line.style_dashed 'Dotted' => line.style_dotted switchtextsize(textsize) => switch textsize 'Size: Normal' => size.normal 'Size: Small' => size.small 'Size: Tiny' => size.tiny 'Size: Auto' => size.auto 'Size: Large' => size.large switchhalign(texthalign) => switch texthalign 'Middle' => text.align_center 'Right' => text.align_right 'Left' => text.align_left // Swing level labels var levelBoxes = array.new_box() var levelLines = array.new_line() if h and inRange and showhighs and oitreshcond and voltreshcond and oicond hBox = box.new(prevHighIndex, pivHi * (1 + boxWid1), bar_index, boxStyle(boxStyle), border_color=na, bgcolor=showBoxes ? sellboxCol : CLEAR, text=(showVol ? str.tostring(vol, format.volume) : na) + ' ' + (showOId ? str.tostring(deltaOI , format.volume) : ''), text_halign=switchhalign(texthalign), text_valign=text.align_center, text_color=chart.fg_color, text_size=switchtextsize(labelsize)) hLine = line.new(prevHighIndex, pivHi, bar_index, pivHi, color=showSwingLines ? sellcol : CLEAR, style=lineStyle(lineStyle), width=lineWid) array.push(levelBoxes, hBox) array.push(levelLines, hLine) if lv and inRange and showlows and oitreshcond and voltreshcond and oicond lBox = box.new(prevLowIndex, pivLo * (1 - boxWid1), bar_index, boxStyle(boxStyle), border_color=na, bgcolor=showBoxes ? buyboxCol : CLEAR, text=(showVol ? str.tostring(vol, format.volume) : na) + ' ' + (showOId ? str.tostring(deltaOI , format.volume) : ''), text_halign=switchhalign(texthalign), text_valign=text.align_center, text_color=chart.fg_color, text_size=switchtextsize(labelsize)) lLine = line.new(prevLowIndex, pivLo, bar_index, pivLo, color=showSwingLines ? buycol : CLEAR, style=lineStyle(lineStyle), width=lineWid) array.push(levelBoxes, lBox) array.push(levelLines, lLine) // Looping over the full array of lines and updating them, and deleting them if they have been touched size = array.size(levelBoxes) if size > 0 for i = 0 to size - 1 j = size - 1 - i box = array.get(levelBoxes, j) line = array.get(levelLines, j) level = line.get_y2(line) filled = (high >= level and low <= level) if filled and extendtilfilled and not hidefilled array.remove(levelLines, j) array.remove(levelBoxes, j) continue box.set_right(box, bar_index + 1) line.set_x2(line, bar_index + 1) if filled and hidefilled array.remove(levelLines, j) array.remove(levelBoxes, j) line.delete(line) box.delete(box) if not filled and not extendtilfilled array.remove(levelLines, j) array.remove(levelBoxes, j) continue // Deleting the oldest lines if array is too big if array.size(levelBoxes) >= 500 int i = 0 while array.size(levelBoxes) >= 500 box = array.get(levelBoxes, i) line = array.get(levelLines, i) box.delete(box) line.delete(line) array.remove(levelBoxes, i) array.remove(levelLines, i) i += 1 // Plotting circle labels for SPL plotshape(showhighs and showBubblesSPL and h and oitreshcond and voltreshcond and oicond ? high : na, style=shape.triangleup, location=location.absolute, offset=-swingSizeR, color=sellcolB, size=size.tiny) plotshape(showlows and showBubblesSPL and lv and oitreshcond and voltreshcond and oicond ? low : na, style=shape.triangledown, location=location.absolute, offset=-swingSizeR, color=buycolB, size=size.tiny) // Calculations for Bubbles AcadAlgo volumeData = volume priceSource = hl2 volumeInDollars = volumeData * close selectedVolume = calculateInDollars ? volumeInDollars : volumeData normalizedVolume = selectedVolume / ta.stdev(selectedVolume, 200) gradientColor = not useHeatMap ? color.from_gradient( normalizedVolume, 0, 8, chart.bg_color == color.white ? color.new(mainColor, 100) : color.rgb(18, 34, 18, 50), mainColor ) : ( normalizedVolume < 1 ? color.from_gradient(normalizedVolume, 0, 1, heatMapColor1, heatMapColor2) : normalizedVolume >= 1 and normalizedVolume < 4 ? color.from_gradient(normalizedVolume, 1, 4, heatMapColor3, heatMapColor4) : normalizedVolume >= 4 ? color.from_gradient(normalizedVolume, 4, 8, heatMapColor4, heatMapColor5) : na ) volumeCondition = volumeFilterOn ? (selectedVolume >= minVolumeDollars and selectedVolume < maxVolumeDollars) : true conditionTiny = volumeCondition and normalizedVolume > 0 and normalizedVolume < 1 and showBubbles conditionSmall = volumeCondition and normalizedVolume >= 1 and normalizedVolume < 2 and showBubbles conditionNormal= volumeCondition and normalizedVolume >= 2 and normalizedVolume < 3 and showBubbles conditionLarge = volumeCondition and normalizedVolume >= 3 and normalizedVolume < 4 and showBubbles conditionHuge = volumeCondition and normalizedVolume >= 4 and showBubbles // Plotting for Bubbles AcadAlgo if conditionHuge and (showLevels or showBubbles) label.new(showBubbles ? bar_index : last_bar_index, priceSource, str.tostring(selectedVolume, format.volume), xloc.bar_index, yloc.price, #00000000, showBubbles ? label.style_label_center : label.style_label_left, chart.fg_color) if conditionHuge and showLevels line.new(bar_index, priceSource, last_bar_index, priceSource, xloc.bar_index, extend.none, gradientColor, width=2) // figure plotshape(conditionTiny ? priceSource : na, "", shape.square, location.absolute, gradientColor, 0, "", na, size=size.tiny) plotshape(conditionSmall ? priceSource : na, "", shape.circle, location.absolute, gradientColor, 0, "", na, size=size.small) plotshape(conditionNormal? priceSource : na, "", shape.circle, location.absolute, gradientColor, 0, "", na, size=size.normal) plotshape(conditionLarge ? priceSource : na, "", shape.square, location.absolute, gradientColor, 0, "", na, size=size.normal) plotshape(conditionHuge ? priceSource : na, "", shape.diamond, location.absolute, gradientColor, 0, "", na, size=size.huge) // Manage the number of lines and labels on the chart a_allLines = line.all if array.size(a_allLines) > levelsCount line.delete(array.shift(a_allLines)) a_allLabels = label.all if array.size(a_allLabels) > levelsCount and not showBubbles label.delete(array.shift(a_allLabels)) // Warning if no Volume data Provided if ta.cum(volume) <= 0 and barstate.islast label.new(bar_index, hl2, "No Volume Data Available Use Another Symbol", style=label.style_label_left, textcolor=chart.fg_color) // Volume Profile Functions get_label_size(x) => result = switch x 'Auto' => size.auto 'Tiny' => size.tiny 'Small' => size.small 'Normal' => size.normal 'Large' => size.large 'Huge' => size.huge get_hvn() => if values.size() > hvn_strength for i = 0 to values.size() - 1 start = values.get(i) valid = true for j = -hvn_strength to hvn_strength k = i + j if k < 0 or k > values.size() - 1 continue else if j != 0 and values.get(k) > start valid := false break if valid idx = values.indexof(start) if idx != -1 y1 = y_vol.get(idx) y2 = y_vol.get(idx) val = y_vol.get(idx) if i < values.size() - 1 for m = i to values.size() - 2 if values.get(m + 1) > values.get(m) y1 := y_vol.get(m) break if i > 0 for m = i to 1 if values.get(m - 1) > values.get(m) y2 := y_vol.get(m) break new_color = close > math.avg(y1, y2) ? hvn_color_bull : hvn_color_bear if hvn_type == "Levels" if hvn_Ly.indexof(val) == -1 hvn_Ly.unshift(val) hvn_lines.unshift(line.new(time, val, time + timeframe.in_seconds(tf)*1000, val, xloc = xloc.bar_time, color = color.new(new_color, 0), style = start == values.max() ? line.style_solid : line.style_dotted, width = hvn_width)) else if hvn_By.indexof(y1) == -1 hvn_By.unshift(y1) hvn_boxes.unshift(box.new(time, y1, time + timeframe.in_seconds(tf)*1000, y2, xloc = xloc.bar_time, bgcolor = new_color, border_color = na)) ltf := timeframe.in_seconds(ltf) <= timeframe.in_seconds() ? ltf : "" = request.security_lower_tf(syminfo.tickerid, ltf, ) if not na(lb_idx) lb = bar_index - lb_idx > 0 ? (bar_index - lb_idx) : 1 y_max = ta.highest(high , lb) y_min = ta.lowest(low , lb) if timeframe.change(tf) or barstate.islast x_vol.clear() y_vol.clear() values.clear() for i = 0 to rows y = y_min + i * (y_max - y_min) / rows x_vol.push(lb_time) y_vol.push(y) values.push(0) for i = bar_index - lb_idx to 1 vol = ltf_V , if vol.size() > 0 for j = 0 to values.size() - 1 temp = y_vol.get(j) for k = 0 to vol.size() - 1 H = ltf_H L = ltf_L V = ltf_V if H.get(k) >= temp and L.get(k) <= temp add = math.floor(V.get(k) / ((H.get(k) - L.get(k)) / (y_max - y_min) / rows)) values.set(j, values.get(j) + add) max_y = y_vol.get(values.indexof(values.max())) sf = values.max() / (time - lb_time) / (extend / 100) for j = 0 to values.size() - 1 set = (lb_time + math.floor(values.get(j) / sf)) x_vol.set(j, set) PLA.clear() PLA.push(chart.point.from_time(lb_time, y_min)) for i = 0 to x_vol.size() - 1 PLA.push(chart.point.from_time(x_vol.get(i), y_vol.get(i))) PLA.push(chart.point.from_time(lb_time, y_max)) PL.delete() if timeframe.change(tf) polyline.new(PLA, curved = false, closed = true, line_color = vp_color, fill_color = vp_color, xloc = xloc.bar_time) temp_vpoc.delete() vpoc.unshift(line.new(lb_time, max_y, time, max_y, xloc = xloc.bar_time, color = show_vpoc ? vpoc_color : na, extend = ext_vpoc ? extend.right : extend.none, width = vpoc_width)) if ext_vpoc and timeframe.in_seconds(tf) >= timeframe.in_seconds(vpoc_label_above) dates.unshift(label.new(bar_index, max_y, str.format("{0,date,short}", time("", session = "0000-0000", timezone = "America/New_York")), textcolor = show_vpoc ? vpoc_color : na, color = na, size = get_label_size(vpoc_label_size))) else PL := polyline.new(PLA, curved = false, closed = true, line_color = vp_color, fill_color = vp_color, xloc = xloc.bar_time) if na(temp_vpoc) temp_vpoc := line.new(lb_time, max_y, time, max_y, xloc = xloc.bar_time, color = show_vpoc ? vpoc_color : na, extend = ext_vpoc ? extend.right : extend.none, width = vpoc_width) temp_vpoc.set_y1(max_y) temp_vpoc.set_y2(max_y) temp_vpoc.set_x2(time) if timeframe.change(tf) lb_idx := bar_index lb_time := time if show_hvn hvn_lines.clear() hvn_boxes.clear() hvn_Ly.clear() hvn_By.clear() get_hvn() if ext_vpoc and vpoc.size() > ext_n_vpoc line.set_extend(vpoc.pop(), extend.none) if timeframe.in_seconds(tf) >= timeframe.in_seconds(vpoc_label_above) label.delete(dates.pop()) if dates.size() > 0 for i = 0 to dates.size() - 1 dates.get(i).set_x(bar_index + 20)
Pine Script™ indicator
by makcwell88
CRT with dual models copyLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
Pine Script™ indicator
by Jr24ebw
ROC with closed based coloring & info table [DB]Rate of Change (ROC) Basics The Rate of Change (ROC) is a momentum oscillator measuring the percentage price change between the current close and the close from N periods ago. Calculated as: ROC = * 100 Traders use ROC to: Identify overbought/oversold conditions Spot momentum shifts Confirm trend strength My improvements: Visual Clarity Color-Coded Direction: ROC line changes color (green/red/yellow) based on intra-candle momentum shifts. Direction Table: Instant view of the last change in ROC with the candle close (▲ UP / ▼ DOWN / ▶ FLAT). Cells for current value and previous change between timeframe bar period. What you can benefit with this over the regular ROC: Faster Analysis: The visual cues make direction and strength instantly obvious and it allows for faster decision making while preserving more mental capital.
Pine Script™ indicator
by dariusz_barabas
Back to the Future with Enhanced Tool for Lower Timeframes. Back to the Future (Linear Regression) This section uses linear regression to analyze price trends and predict future movements. Key Parameters: len & len1: Defines the length of the regression calculation. dev & dev1: Multiplier for deviation bands. Color and Style Settings: Customizes regression lines and deviation bands. How It Works: It calculates a linear regression line based on price data. Deviation bands (similar to Bollinger Bands) are plotted to identify price volatility. The slope and intercept of the regression line help determine potential price trends. The indicator dynamically updates these trendlines and deviation bands on the chart. 2. Enhanced Tool for Lower Timeframes This section enhances intraday and scalping strategies by using EMAs, ATR-based stop-losses, volume-based target multipliers, and ADX for trend strength filtering. Key Features & Calculations: Exponential Moving Averages (EMAs) shortEMALen = 5, longEMALen = 20 Used to identify trend direction and generate buy/sell signals based on crossovers. ATR-based Stop-Loss & Targets atrPeriod = 7 ATR (Average True Range) helps calculate dynamic stop-loss and target levels. Targets are adjusted based on volume conditions: If volume > volumeThreshold, Target 2 is calculated using a higher multiplier. ADX for Trend Strength Filtering adxLength = 10, adxThreshold = 15 ADX (Average Directional Index) ensures signals are taken only in strong trends. Buy and Sell Conditions Buy Signal: When short EMA crosses above long EMA & ADX > adxThreshold. Sell Signal: When short EMA crosses below long EMA & ADX > adxThreshold. Dynamic Stop-Loss and Profit Targets Long trades: Stop-loss is set below the entry price by ATR value. Short trades: Stop-loss is set above the entry price by ATR value. Two target levels are calculated dynamically. 3. Visual Representation Plots EMA lines for trend identification. Plots ADX line to indicate trend strength. Draws dynamic lines and labels for: Entry price Stop-loss Target 1 and Target 2 Uses different colors to differentiate buy/sell conditions. 4. Additional Features Risk-Reward Settings: Adjusts risk-reward ratio for custom target levels. Session Adaptability: Works well on lower timeframes, making it ideal for scalping & intraday trading. Volume-Based Adjustments: Uses higher target multipliers during high-volume conditions. Summary This is a highly advanced, multi-featured indicator that combines trend analysis, momentum filtering, and ATR-based risk management into a single powerful tool for intraday traders. It provides clear buy/sell signals and dynamically adjusts stop-loss and profit targets based on real-time market conditions.
Pine Script™ indicator
by satyaranjan.das143
[AcerX] Leverage, TP & Optimal TP CalculatorHow It Works Inputs: Portfolio Allocation (%): The percentage of your portfolio you're willing to risk on the trade. Stop Loss (%): The stop loss distance below the entry price. Taker Fee (%) and Maker Fee (%): The fees applied on entry and exit. Calculations: The script calculates the required "raw" leverage to risk 1% of your portfolio. It floors the computed leverage to an integer ("effectiveLeverage"). If the computed leverage is less than 1, it shows an error message (and suggests the maximum allocation for at least 1× leverage). Otherwise, it calculates the TP levels for target profits of 1.2%, 1.5%, and 2%, and an "Optimal TP" that nets a 1% profit after fees. Display: A table is drawn on the top right corner of your chart displaying the effective leverage, the TP levels, and an error message if applicable. Simply add this script as a new indicator in TradingView, and adjust the inputs as needed. Happy trading!
Pine Script™ indicator
by al3x1393
CUSTOM_KKSThis indicator plots **six Exponential Moving Averages (EMAs)** (5, 9, 40, 50, 100, and 200) on the chart to help identify trends. It highlights **EMA crossovers** between the 5 EMA and 9 EMA, signaling potential buy or sell opportunities. Additionally, it **plots target price levels** after a crossover to help traders set profit-taking or stop-loss points. Clear **buy and sell signals** are displayed on the chart for better decision-making. 🚀📊
Pine Script™ indicator
by devadaru2024
Balmukund High low Marker//@version=5 indicator("Previous Day High/Low", overlay=true) // Calculate the previous day's high and low prevDayHigh = request.security(syminfo.tickerid, "D", high ) prevDayLow = request.security(syminfo.tickerid, "D", low ) // Plot horizontal lines for the previous day's high and low line.new(x1=bar_index , y1=prevDayHigh, x2=bar_index, y2=prevDayHigh, color=color.green, width=2, style=line.style_dashed) line.new(x1=bar_index , y1=prevDayLow, x2=bar_index, y2=prevDayLow, color=color.red, width=2, style=line.style_dashed)
Pine Script™ indicator
by balmukundchaudhary03810