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RSI OB/OS THEDU 999//@version=6 indicator("RSI OB/OS THEDU 999", overlay=false) //#region Inputs Section // ================================ // Inputs Section // ================================ // Time Settings Inputs startTime = input.time(timestamp("1 Jan 1900"), "Start Time", group="Time Settings") endTime = input.time(timestamp("1 Jan 2099"), "End Time", group="Time Settings") isTimeWindow = time >= startTime and time <= endTime // Table Settings Inputs showTable = input.bool(true, "Show Table", group="Table Settings") fontSize = input.string("Auto", "Font Size", options= , group="Table Settings") // Strategy Settings Inputs tradeDirection = input.string("Long", "Trade Direction", options= , group="Strategy Settings") entryStrategy = input.string("Revert Cross", "Entry Strategy", options= , group="Strategy Settings") barLookback = input.int(10, "Bar Lookback", minval=1, maxval=20, group="Strategy Settings") // RSI Settings Inputs rsiPeriod = input.int(14, "RSI Period", minval=1, group="RSI Settings") overboughtLevel = input.int(70, "Overbought Level", group="RSI Settings") oversoldLevel = input.int(30, "Oversold Level", group="RSI Settings") //#endregion //#region Font Size Mapping // ================================ // Font Size Mapping // ================================ fontSizeMap = fontSize == "Auto" ? size.auto : fontSize == "Small" ? size.small : fontSize == "Normal" ? size.normal : fontSize == "Large" ? size.large : na //#endregion //#region RSI Calculation // ================================ // RSI Calculation // ================================ rsiValue = ta.rsi(close, rsiPeriod) plot(rsiValue, "RSI", color=color.yellow) hline(overboughtLevel, "OB Level", color=color.gray) hline(oversoldLevel, "OS Level", color=color.gray) //#endregion //#region Entry Conditions // ================================ // Entry Conditions // ================================ buyCondition = entryStrategy == "Revert Cross" ? ta.crossover(rsiValue, oversoldLevel) : ta.crossunder(rsiValue, oversoldLevel) sellCondition = entryStrategy == "Revert Cross" ? ta.crossunder(rsiValue, overboughtLevel) : ta.crossover(rsiValue, overboughtLevel) // Plotting buy/sell signals plotshape(buyCondition ? oversoldLevel : na, title="Buy", location=location.absolute, color=color.green, style=shape.labelup, text="BUY", textcolor=color.white, size=size.small) plotshape(sellCondition ? overboughtLevel : na, title="Sell", location=location.absolute, color=color.red, style=shape.labeldown, text="SELL", textcolor=color.white, size=size.small) // Plotting buy/sell signals on the chart plotshape(buyCondition, title="Buy", location=location.belowbar, color=color.green, style=shape.triangleup, text="BUY", textcolor=color.white, size=size.small , force_overlay = true) plotshape(sellCondition, title="Sell", location=location.abovebar, color=color.red, style=shape.triangledown, text="SELL", textcolor=color.white, size=size.small, force_overlay = true) //#endregion //#region Returns Matrix Calculation // ================================ // Returns Matrix Calculation // ================================ var returnsMatrix = matrix.new(0, barLookback, 0.0) if (tradeDirection == "Long" ? buyCondition : sellCondition ) and isTimeWindow newRow = array.new_float(barLookback) for i = 0 to barLookback - 1 entryPrice = close futurePrice = close ret = (futurePrice - entryPrice) / entryPrice * 100 array.set(newRow, i, math.round(ret, 4)) matrix.add_row(returnsMatrix, matrix.rows(returnsMatrix), newRow) //#endregion //#region Display Table // ================================ // Display Table // ================================ var table statsTable = na if barstate.islastconfirmedhistory and showTable statsTable := table.new(position.top_right, barLookback + 1, 4, border_width=1, force_overlay=true) // Table Headers table.cell(statsTable, 0, 1, "Win Rate %", bgcolor=color.rgb(45, 45, 48), text_color=color.white, text_size=fontSizeMap) table.cell(statsTable, 0, 2, "Mean Return %", bgcolor=color.rgb(45, 45, 48), text_color=color.white, text_size=fontSizeMap) table.cell(statsTable, 0, 3, "Median Return %", bgcolor=color.rgb(45, 45, 48), text_color=color.white, text_size=fontSizeMap) // Row Headers for i = 1 to barLookback table.cell(statsTable, i, 0, str.format("{0} Bar Return", i), bgcolor=color.rgb(45, 45, 48), text_color=color.white, text_size=fontSizeMap) // Calculate Statistics meanReturns = array.new_float() medianReturns = array.new_float() for col = 0 to matrix.columns(returnsMatrix) - 1 colData = matrix.col(returnsMatrix, col) array.push(meanReturns, array.avg(colData)) array.push(medianReturns, array.median(colData)) // Populate Table for col = 0 to matrix.columns(returnsMatrix) - 1 colData = matrix.col(returnsMatrix, col) positiveCount = 0 for val in colData if val > 0 positiveCount += 1 winRate = positiveCount / array.size(colData) meanRet = array.avg(colData) medianRet = array.median(colData) // Color Logic winRateColor = winRate == 0.5 ? color.rgb(58, 58, 60) : (winRate > 0.5 ? color.rgb(76, 175, 80) : color.rgb(244, 67, 54)) meanBullCol = color.from_gradient(meanRet, 0, array.max(meanReturns), color.rgb(76, 175, 80), color.rgb(0, 128, 0)) meanBearCol = color.from_gradient(meanRet, array.min(meanReturns), 0, color.rgb(255, 0, 0), color.rgb(255, 99, 71)) medianBullCol = color.from_gradient(medianRet, 0, array.max(medianReturns), color.rgb(76, 175, 80), color.rgb(0, 128, 0)) medianBearCol = color.from_gradient(medianRet, array.min(medianReturns), 0, color.rgb(255, 0, 0), color.rgb(255, 99, 71)) table.cell(statsTable, col + 1, 1, str.format("{0,number,#.##%}", winRate), text_color=color.white, bgcolor=winRateColor, text_size=fontSizeMap) table.cell(statsTable, col + 1, 2, str.format("{0,number,#.###}%", meanRet), text_color=color.white, bgcolor=meanRet > 0 ? meanBullCol : meanBearCol, text_size=fontSizeMap) table.cell(statsTable, col + 1, 3, str.format("{0,number,#.###}%", medianRet), text_color=color.white, bgcolor=medianRet > 0 ? medianBullCol : medianBearCol, text_size=fontSizeMap) //#endregion // Background color for OB/OS regions bgcolor(rsiValue >= overboughtLevel ? color.new(color.red, 90) : rsiValue <= oversoldLevel ? color.new(color.green, 90) : na)
Pine Script®指標
由thedu2706提供
Volatility Zones (STDEV %)This indicator displays the relative volatility of an asset as a percentage, based on the standard deviation of price over a custom length. 🔍 Key features: • Uses standard deviation (%) to reflect recent price volatility • Classifies volatility into three zones: Low volatility (≤2%) — highlighted in blue Medium volatility (2–4%) — highlighted in orange High volatility (>4%) — highlighted in red • Supports visual background shading and colored line output • Works on any timeframe and asset 📊 This tool is useful for identifying low-risk entry zones, periods of expansion or contraction in price behavior, and dynamic market regime changes. You can adjust the STDEV length to suit your strategy or timeframe. Best used in combination with your entry logic or trend filters.
Pine Script®指標
由nefyodov.artyom提供
Multi-Timeframe Market Regime (Ehlers)This Pine Script indicator provides an Ehlers-inspired multi-timeframe market regime analysis directly on your TradingView chart. It aims to identify whether the market is currently "Trending Up" (green), "Trending Down" (red), or "Ranging" (yellow) across Weekly, Daily, 4-Hour, and 1-Hour timeframes. It uses custom implementations of: Ehlers' Fisher Transform to highlight market extremes and potential turning points. An Adaptive Moving Average (inspired by MAMA/FAMA) that adjusts its speed based on volatility to reduce lag in trends and provide stability in ranges. The indicator displays a dashboard as a label on your chart, showing the detected regime for each of these timeframes, and optionally colors the background of your current chart timeframe to reflect its dominant regime.
Pine Script®指標
由tvs212提供
EMA Cloud 200 High/Close с цветом трендаEMA Cloud 200 High/Close with Trend Color Overview This indicator creates a dynamic EMA cloud between two Exponential Moving Averages calculated from different price sources, providing clear visual trend identification and support/resistance zones. Key Features Dual EMA System: Upper EMA based on High prices, Lower EMA based on Close prices Custom Timeframe: Analyze EMA on any timeframe regardless of chart timeframe Dynamic Trend Coloring: Green for uptrend, Red for downtrend Visual Cloud: Filled area between EMAs highlights price zones Configurable Period: Default 200-period EMA (adjustable) How It Works The indicator calculates two separate 200-period EMAs: Upper EMA: Based on High prices - shows resistance levels Lower EMA: Based on Close prices - shows support levels Trend Detection: Current price above average EMA = Green (Bullish) Current price below average EMA = Red (Bearish) Trading Applications Trend Identification: Color changes indicate trend shifts Support/Resistance: Cloud boundaries act as dynamic S/R zones Entry/Exit Points: Price interaction with cloud edges Multi-timeframe Analysis: View higher timeframe EMAs on lower timeframe charts Settings EMA Period: Adjust calculation period (default: 200) Top Source: Price source for upper EMA (default: High) Bottom Source: Price source for lower EMA (default: Close) Custom Timeframe: Choose analysis timeframe (default: 15min) Best Practices Use on trending markets for optimal results Combine with other indicators for confirmation Higher timeframes provide stronger signals Cloud thickness indicates volatility levels Perfect for swing traders and trend followers seeking clear visual trend analysis with dynamic support/resistance identification.
Pine Script®指標
由Oli4ka777提供
CLMM Vault策略回测 (专业版) v5Explanation of the CLMM (Concentrated Liquidity - Market Maker) Strategy Backtesting Model Developed for the Sui Chain Vaults Protocol Why Are We Doing This? Conducting strategy backtesting is a crucial step for us to make data-driven decisions, validate the feasibility of strategies, and manage potential risks before committing real funds and significant development resources. A strategy that appears to have a high APY may perform entirely differently once real-world frictional costs (such as rebalancing fees and slippage) are deducted. The goal of this backtesting model is to quickly and cost-effectively identify which strategy parameter combinations have the potential to be profitable and which ones pose risks before formal development, thereby avoiding significant losses and providing data support for the project's direction. Core Features of the Backtesting Model We have built a "pro version" (v5) strategy simulator using TradingView's Pine Script. It can quickly simulate the core performance of our auto-compounding and rebalancing Vaults on historical price data, with the following main features: Auto-Compounding: Continuously adds the generated fee income to the principal based on the set profit range (e.g., 0.01%). Auto-Rebalancing: Simulates automatic rebalancing actions when the price exceeds the preset profit range and deducts the corresponding costs. Smart Filtering Mechanism: To make the simulation closer to our ideal "smart" decision-making, it integrates three freely combinable filtering mechanisms: Buffer Zone: Tolerates minor and temporary breaches of the profit range to avoid unnecessary rebalancing. Breakout Confirmation: Requires the price to be in the trigger zone for N consecutive candles to confirm a breakout, filtering out market noise from "false breakouts." Time Cooldown: Enforces a minimum time interval between two rebalances to prevent value-destroying high-frequency trading in extreme market conditions. Important: Simplifications and Assumptions of the Model To quickly prototype and iterate on the TradingView platform, we have made some key simplifications to the model. A fully accurate backtest would require a deep simulation of on-chain liquidity pools (Pool Pair), calculating the price impact (Slippage) and impermanent loss (IL) caused by each rebalance on the pool. Since TradingView cannot access real-time on-chain liquidity data, we have made the following simplifications: Simplified Rebalancing Costs: Instead of simulating real transaction slippage, we use a unified input parameter of single rebalance cost (%) to "bundle" and approximate the total of Gas fees, slippage, and realized impermanent loss. Simplified Fee Income: Instead of calculating fees based on real-time trading volume, we directly input an average fee annualized return (%) as the core income assumption for our strategy. How to Use and Test Team members can load this script and test different strategies by adjusting the input parameters on the panel. The most critical parameters include: position profit range, average fee annualized return, single rebalance cost, and the switches and corresponding values of the above three smart filters.
Pine Script®指標
由Dam_block提供
Red Report Filter x 'Bull_Trap_9'Hello Traders! This one is my favorite. This is indicator / filter: '2 of 2.' '1 of 2' is the, 'Closed Market Filter,' I posted before this that you may like. Again, I prefer 'Filter' over 'Indicator' because this Pine Script code does not interact with the actual price data. It makes handling high impact reports effortless. As you all know; if you're on a Prop and breach a 'Red,' you lose your account. This will filter up to 5 reports. More than enough unless you're on EURUSD! It offers both 'Red' and 'Orange' report control. The default window times of 15 / 6 are programmed for red events. You can always alter the base code for your desired, 'Before / After.' Click the tooltip for more info. How to use: You do need to update the inputs daily with the current report times before each open. I trade YM / US markets. Those reports are very repetitive on their delivery times, so I usually leave a 10:00 setting in slot 1. I then toggle it 'On' or 'Off' per demand. Just open the dialogue box and it is pretty self explanatory. I used task scheduler for a lot of years, but that wasn't very reliable, modest work to set up daily and a lot of times I may not hear it or it malfunctions because of a Windows update. TradingView has the little icon that floats from the bottom right, but who really looks for that. Any audio alert is subject to fail for a number of reasons. This filter REDS the screen in your face. Leaves no doubt about what's coming. I know there may be other apps and options out there, but this filter is integral to the TradingView chart itself embedded through Pine Script. It is right there, a click away, easy to input data, and as long as your chart is active and working, the filter will fire. I did not build an alert condition into this, but I'm sure that could be an option if you want to program in audio as well. Please Note: Only when the price candles push into the filter zone, will the filter start to display. Run a test a minute from the current price candle and you can see how it functions. I appreciate your interest.
Pine Script®指標
由Bull_Trap_9提供
Previous 2 Days High/LowCan you give me a summary of this indicator The "Previous 2 Days High/Low" indicator, written in Pine Script v5 for TradingView, plots horizontal lines representing the combined high and low prices of the previous two trading days on a chart. Here's a summary of its functionality, purpose, and key features: Purpose The indicator helps traders identify significant price levels by displaying the highest high and lowest low from the previous two days, which can act as potential support or resistance levels. These levels are plotted as lines that extend across the current trading day, making it easier to visualize key price zones for trading decisions. Key Features Calculates Combined High and Low: Retrieves the high and low prices of the previous day and the day before using request.security on the daily timeframe ("D"). Computes the combined high as the maximum of the two days' highs and the combined low as the minimum of the two days' lows. Dynamic Line Plotting: Draws two horizontal lines: Red Line: Represents the combined high, plotted at the highest price of the previous two days. Green Line: Represents the combined low, plotted at the lowest price of the previous two days. Lines are created at the start of a new trading day and extended to the right edge of the chart using line.set_x2, ensuring they span the entire current day. Labels for Clarity: Adds labels to the right of the chart, displaying the exact price values of the combined high ("Combined High: ") and combined low ("Combined Low: "). Labels are updated to move with the lines, maintaining alignment at the current bar. Clutter Prevention: Deletes old lines and labels at the start of each new trading day to avoid overlapping or excessive objects on the chart. Dynamic Requests: Uses dynamic_requests=true in the indicator() function to allow request.security calls within conditional blocks (if ta.change(time("D"))), enabling daily data retrieval within the script's logic.
Pine Script®指標
由sucheritha提供
4
Vertical Lines at 8AM, 9AM, 8PM & 9PMVertical lines at 8am, 8pm, 9am and 9pm on SGT. Vertical lines at 8am, 8pm, 9am and 9pm on SGT. Vertical lines at 8am, 8pm, 9am and 9pm on SGT. Vertical lines at 8am, 8pm, 9am and 9pm on SGT. Vertical lines at 8am, 8pm, 9am and 9pm on SGT. Vertical lines at 8am, 8pm, 9am and 9pm on SGT. Vertical lines at 8am, 8pm, 9am and 9pm on SGT. Vertical lines at 8am, 8pm, 9am and 9pm on SGT. Vertical lines at 8am, 8pm, 9am and 9pm on SGT. Vertical lines at 8am, 8pm, 9am and 9pm on SGT. Vertical lines at 8am, 8pm, 9am and 9pm on SGT. Vertical lines at 8am, 8pm, 9am and 9pm on SGT. Vertical lines at 8am, 8pm, 9am and 9pm on SGT. Vertical lines at 8am, 8pm, 9am and 9pm on SGT. Vertical lines at 8am, 8pm, 9am and 9pm on SGT. Vertical lines at 8am, 8pm, 9am and 9pm on SGT. Vertical lines at 8am, 8pm, 9am and 9pm on SGT. Vertical lines at 8am, 8pm, 9am and 9pm on SGT. Vertical lines at 8am, 8pm, 9am and 9pm on SGT. Vertical lines at 8am, 8pm, 9am and 9pm on SGT. Vertical lines at 8am, 8pm, 9am and 9pm on SGT. Vertical lines at 8am, 8pm, 9am and 9pm on SGT.
Pine Script®指標
由daochengphang提供
Closed Market / Back-Test Filter x 'Bull_Trap_9'Hello TradingView Traders! This is a very valuable tool that I believe all traders will find useful. This indicator / filter is '1 of 2'. I prefer it as a filter because it is not meant for live trade analysis. It is designed to make a trader aware of their individual trade sessions and to help aid in static chart candlestick back-testing. Also, look for my indicator / filter, '2 of 2': 'Red Report Filter' There are two functions to this filter. Primary use: It allows a trader to set a session window: Open / Close. During a trade session, like YM, I only trade 9:30 - 15:00. Without the filter, many times I have traded past my cutoff because I was focused on the chart and not the time. With this filter on as close nears with an open trade and the filter starts to apply, I know I am at session close with no more trades upon exit. Otherwise, I know the session is done with no further trades. It is also nice to have the filter on during the session open as a demarcation boundary. Secondary use: It is used as a chart back-test tool. When applied to a traders back-test chart, the trader can control their trade session envelopes for easier and more precise evaluation. The filter will allow only the candles per session that the trader wants to focus on and will filter all other non-session candles. I can easily compare a whole week of 30m session data, concentrating solely on the filtered trade windows. Please Note: The filter will be active as far back as the historic data prints. Thanks for viewing!
Pine Script®指標
由Bull_Trap_9提供
Bollinger Bands Levels | VTS Pro📊 Bollinger Bands Levels | VTS Pro by Alireza Mossaheb This advanced Bollinger Bands indicator takes your technical analysis to the next level by providing dynamic price bands along with customizable horizontal levels and labels. Whether you're a trend trader or a mean reversion strategist, this tool adapts to your workflow. 🔧 Key Features: Three Modes: Choose between Strong (20, 2), Weak (10, 1.5), or Custom settings for full control. Multi-Timeframe Support: Plot Bollinger Bands from any higher or lower timeframe. Multiple MA Types: Select from SMA, EMA, RMA (SMMA), WMA, and VWMA for the basis line. Visual Enhancements: Optional background fill between bands Stylized horizontal lines with labels (Top/Mid/Low) Customizable line style, width, and color Smart Labeling: Automatically names levels based on timeframe and mode. Improved Plot Logic: Line width bug fixed for smoother rendering across presets. 🧠 Ideal For: Spotting volatility squeezes or expansions Confirming support/resistance with upper/lower bands Creating confluence zones using higher timeframe Bollinger levels
Pine Script®指標
由VTSPRO提供
Previous Day O H L C Calculation By Md//@version=6 indicator("Previous Day O H L C Calculation By Md", overlay=true) // Check if the previous daily candle is green (bullish) or red (bearish) previousCandleBullish = close > open previousCandleBearish = close < open // Calculate the difference for bullish candles: previous day's high minus previous day's open bullishCalculation = high - open // Calculate the difference for bearish candles: previous day's low minus previous day's close bearishCalculation = low - close // Show the result at the top of the current daily candle if the previous candle was bullish if previousCandleBullish label.new(bar_index, high, "Bullish Calc: " + str.tostring(bullishCalculation), color=color.green, textcolor=color.white, style=label.style_label_left, size=size.small) // Show the result at the bottom of the current daily candle if the previous candle was bearish if previousCandleBearish label.new(bar_index, low, "Bearish Calc: " + str.tostring(bearishCalculation), color=color.red, textcolor=color.white, style=label.style_label_left, size=size.small)
Pine Script®指標
由mrfaysal5050提供