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Indicadores e estratégias

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.
Indicador Pine Script®
por nefyodov.artyom
Custom EMA Inputs (20, 40, 100, 200)This script plots four customizable Exponential Moving Averages (EMAs) on the chart—specifically the 20, 40, 100, and 200-period EMAs. Each EMA length and color can be adjusted by the user, allowing for greater flexibility in trend analysis and multi-timeframe confirmation. The script supports offsetting plots, enabling visual tweaks for alignment with other indicators or price action setups. Ideal for traders seeking dynamic control over their moving average strategies, this tool provides a clean, adaptable foundation for both trend following and crossover systems.
Indicador Pine Script®
por futuromillo
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)
Indicador Pine Script®
por thedu2706
Advanced TrackingAdvanced Multi-Asset Tracker Indicator Track trading opportunities across multiple instruments with multiple analysis methods Developed by Marcelo Ulisses Sobreiro Ribeiro Key Features: 1️⃣ Multi-Mode Tracking System Pattern Mode: Detects 5 powerful price patterns (123, Market Strength, Engulfing, PFR, Inside Bar) Stochastic Crossover: Identifies fresh crossovers for potential entries 3-Candle Pattern: Finds classic high/low patterns across 3 candles Oscillator Mode: Monitors overbought/oversold conditions (RSI + Stochastic) 2️⃣ Customizable Asset Groups Pre-loaded with 3 optimized asset tables (Majors, Crosses, Commodities/Indices) Easily switch between groups with one click 3️⃣ Dual Timeframe Analysis Separate timeframes for pattern detection and oscillator analysis Detects higher timeframe conditions while trading on lower timeframes 4️⃣ Visual Alert System Color-coded signals for instant pattern recognition Clear priority system for pattern hierarchy Pattern Detection Includes: ✔ Mark Crisp 123 Pattern (bullish/bearish) ✔ Market Strength Signals (FMA/FMB) ✔ Engulfing Patterns (EA/EB) ✔ Price of Reversal Close (PFR) ✔ Inside Bar (IB) Oscillator Analysis: Customizable RSI (14 period default) Adjustable Stochastic (14,3,3 default) Strong OB/OS alerts when both indicators align Ideal For: Forex traders monitoring multiple currency pairs Multi-asset traders covering commodities and indices Traders who want to scan for setups without watching dozens of charts Systematic traders looking for pattern-based opportunities How It Works: Select your preferred asset group Choose your analysis mode (Patterns, Stoch Cross, etc.) Customize settings as needed The indicator scans all selected assets and displays signals in an easy-to-read table Pro Tip: Combine with your favorite entry/exit strategy - this indicator excels at opportunity detection across markets!
Indicador Pine Script®
por musribeiro
AshishBediSPLThis Pine Script indicator, "AshishBediSPL," is designed to help you visualize and analyze the combined premium of a short straddle strategy using Call and Put options. It fetches real-time and historical data for your chosen index or stock (NIFTY, BANKNIFTY, FINNIFTY, MIDCPNIFTY, SENSEX, BANKEX, or RELIANCE) and a specified expiry date and strike price. You can opt to view the combined premium of both Call and Put options, or analyze just the Call or Put premium individually. The indicator then allows you to overlay and generate trading signals based on a selection of popular technical indicators, including: EMA Crossover: Identify trend changes with configurable fast and slow Exponential Moving Averages. Supertrend: Determine the prevailing trend direction and potential reversal points. VWAP (Volume Weighted Average Price): Track the average price traded based on volume, resetting daily. RSI (Relative Strength Index): Gauge momentum and potential overbought/oversold conditions (note: RSI buy/sell logic is set to trigger on overbought/oversold levels, which can be interpreted for contrarian or trend-following strategies depending on your approach). SMA (Simple Moving Average): Smooth price data to identify support and resistance. The indicator plots the combined premium as a dynamic line, changing color based on its opening and closing values. Buy and Sell signals are clearly marked on the chart, and you can set up alerts to notify you of these trading opportunities. This tool is ideal for traders looking to monitor straddle premiums and integrate multiple indicator-based signals into their analysis.
Indicador Pine Script®
por shivanshbedi2
BTC/Fiat Divergence & Spread Monitor📄 BTC/Fiat Divergence & Spread Monitor This indicator visualizes Bitcoin’s relative performance across multiple fiat currencies and highlights periods of unusual divergence. It helps traders assess which fiat pairs BTC has outperformed or underperformed over a configurable lookback period and monitor the dynamic spread between the strongest and weakest pairs. Features: Relative Performance Matrix: Ranks BTC returns in 6 fiat pairs, displaying a color-coded table of percentage changes and ranks. Divergence Spread Oscillator: Calculates the spread between the top and bottom performing pairs and normalizes this using a Z-Score. The oscillator helps identify when fiat pricing divergence is unusually high or compressed. Dynamic Smoothing: Optional Hull Moving Average smoothing to reduce noise in the spread signal. Customizable Inputs: Lookback period for percent change. Z-Score normalization window. Smoothing length. Symbol selection for each fiat pair. Visual Mode Toggle: Switch between relative performance lines and spread oscillator view. Potential Use Cases: Fiat Rotation: Identify which fiat is relatively weak or strong to optimize your exit currency when taking BTC profits. Volatility Detection: Use the spread Z-Score to detect periods of high divergence across fiat pairs, signaling macro FX volatility or dislocations. Regime Analysis: Track when fiat spreads are converging or expanding, potentially signaling market regime shifts. Risk Management: When divergence is extreme (Z-Score > +1), consider reducing position sizing or waiting for reversion. Disclaimer: This indicator is provided for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any security or asset. Always do your own research and consult a qualified financial professional before making trading decisions. Use at your own risk. Tip: Experiment with different lookback periods and smoothing settings to adapt the indicator to your timeframe and trading style.
Indicador Pine Script®
por RWCS_LTD
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.
Indicador Pine Script®
por Dam_block
Saty ATR Levels// Saty ATR Levels // Copyright (C) 2022 Saty Mahajan // Author is not responsible for your trading using this script. // Data provided in this script is not financial advice. // // Features: // - Day, Multiday, Swing, Position, Long-term, Keltner trading modes // - Range against ATR for each period // - Put and call trigger idea levels // - Intermediate levels // - Full-range levels // - Extension levels // - Trend label based on the 8-21-34 Pivot Ribbon // // Special thanks to Gabriel Viana. // Based on my own ideas and ideas from Ripster, drippy2hard, // Adam Sliver, and others. //@version=5 indicator('Saty ATR Levels', shorttitle='Saty ATR Levels', overlay=true) // Options day_trading = 'Day' multiday_trading = 'Multiday' swing_trading = 'Swing' position_trading = 'Position' longterm_trading = 'Long-term' trading_type = input.string(day_trading, 'Trading Type', options= ) use_options_labels = input(true, 'Use Options Labels') atr_length = input(14, 'ATR Length') trigger_percentage = input(0.236, 'Trigger Percentage') previous_close_level_color = input(color.white, 'Previous Close Level Color') lower_trigger_level_color = input(color.yellow, 'Lower Trigger Level Color') upper_trigger_level_color = input(color.aqua, 'Upper Trigger Level Color') key_target_level_color = input(color.silver, 'Key Target Level Color') atr_target_level_color = input(color.white, 'ATR Target Level Color') intermediate_target_level_color = input(color.gray, 'Intermediate Target Level Color') show_all_fibonacci_levels = input(true, 'Show All Fibonacci Levels') show_extensions = input(false, 'Show Extensions') level_size = input(2, 'Level Size') show_info = input(true, 'Show Info Label') use_current_close = input(false, 'Use Current Close') fast_ema = input(8, 'Fast EMA') pivot_ema = input(21, 'Pivot EMA') slow_ema = input(34, 'Slow EMA') // Set the appropriate timeframe based on trading mode timeframe_func() => timeframe = 'D' if trading_type == day_trading timeframe := 'D' else if trading_type == multiday_trading timeframe := 'W' else if trading_type == swing_trading timeframe := 'M' else if trading_type == position_trading timeframe := '3M' else if trading_type == longterm_trading timeframe := '12M' else timeframe := 'D' // Trend price = close fast_ema_value = ta.ema(price, fast_ema) pivot_ema_value = ta.ema(price, pivot_ema) slow_ema_value = ta.ema(price, slow_ema) bullish = price >= fast_ema_value and fast_ema_value >= pivot_ema_value and pivot_ema_value >= slow_ema_value bearish = price <= fast_ema_value and fast_ema_value <= pivot_ema_value and pivot_ema_value <= slow_ema_value // Data period_index = use_current_close ? 0 : 1 ticker = ticker.new(syminfo.prefix, syminfo.ticker, session=session.extended) previous_close = request.security(ticker, timeframe_func(), close , gaps=barmerge.gaps_off, lookahead=barmerge.lookahead_on) atr = request.security(ticker, timeframe_func(), ta.atr(atr_length) , gaps=barmerge.gaps_off, lookahead=barmerge.lookahead_on) period_high = request.security(ticker, timeframe_func(), high, gaps=barmerge.gaps_off, lookahead=barmerge.lookahead_on) period_low = request.security(ticker, timeframe_func(), low, gaps=barmerge.gaps_off, lookahead=barmerge.lookahead_on) range_1 = period_high - period_low tr_percent_of_atr = range_1 / atr * 100 lower_trigger = previous_close - trigger_percentage * atr upper_trigger = previous_close + trigger_percentage * atr lower_0382 = previous_close - atr * 0.382 upper_0382 = previous_close + atr * 0.382 lower_0500 = previous_close - atr * 0.5 upper_0500 = previous_close + atr * 0.5 lower_0618 = previous_close - atr * 0.618 upper_0618 = previous_close + atr * 0.618 lower_0786 = previous_close - atr * 0.786 upper_0786 = previous_close + atr * 0.786 lower_1000 = previous_close - atr upper_1000 = previous_close + atr lower_1236 = lower_1000 - atr * 0.236 upper_1236 = upper_1000 + atr * 0.236 lower_1382 = lower_1000 - atr * 0.382 upper_1382 = upper_1000 + atr * 0.382 lower_1500 = lower_1000 - atr * 0.5 upper_1500 = upper_1000 + atr * 0.5 lower_1618 = lower_1000 - atr * 0.618 upper_1618 = upper_1000 + atr * 0.618 lower_1786 = lower_1000 - atr * 0.786 upper_1786 = upper_1000 + atr * 0.786 lower_2000 = lower_1000 - atr upper_2000 = upper_1000 + atr lower_2236 = lower_2000 - atr * 0.236 upper_2236 = upper_2000 + atr * 0.236 lower_2382 = lower_2000 - atr * 0.382 upper_2382 = upper_2000 + atr * 0.382 lower_2500 = lower_2000 - atr * 0.5 upper_2500 = upper_2000 + atr * 0.5 lower_2618 = lower_2000 - atr * 0.618 upper_2618 = upper_2000 + atr * 0.618 lower_2786 = lower_2000 - atr * 0.786 upper_2786 = upper_2000 + atr * 0.786 lower_3000 = lower_2000 - atr upper_3000 = upper_2000 + atr // Add Labels tr_vs_atr_color = color.green if tr_percent_of_atr <= 70 tr_vs_atr_color := color.green else if tr_percent_of_atr >= 90 tr_vs_atr_color := color.red else tr_vs_atr_color := color.orange trading_mode = 'Day' if trading_type == day_trading trading_mode := 'Day' else if trading_type == multiday_trading trading_mode := 'Multiday' else if trading_type == swing_trading trading_mode := 'Swing' else if trading_type == position_trading trading_mode := 'Position' else if trading_type == longterm_trading trading_mode := 'Long-term' else trading_mode := '' long_label = '' short_label = '' if use_options_labels long_label := 'Calls' short_label := 'Puts' else long_label := 'Long' short_label := 'Short' trend_color = color.orange if bullish trend_color := color.green else if bearish trend_color := color.red else trend_color := color.orange var tbl = table.new(position.top_right, 1, 4) if barstate.islast and show_info table.cell(tbl, 0, 0, 'Saty ATR Levels', bgcolor=trend_color) table.cell(tbl, 0, 1, trading_mode + ' Range ($' + str.tostring(range_1, '#.##') + ') is ' + str.tostring(tr_percent_of_atr, '#.#') + '% of ATR ($' + str.tostring(atr, '#.##') + ')', bgcolor=tr_vs_atr_color) table.cell(tbl, 0, 2, long_label + ' > $' + str.tostring(upper_trigger, '#.##') + ' | +1 ATR $' + str.tostring(upper_1000, '#.##'), bgcolor=upper_trigger_level_color) table.cell(tbl, 0, 3, short_label + ' < $' + str.tostring(lower_trigger, '#.##') + ' | -1 ATR: $' + str.tostring(lower_1000, '#.##'), bgcolor=lower_trigger_level_color) // Add levels plot(show_extensions ? lower_3000 : na, color=color.new(atr_target_level_color, 40), linewidth=level_size, title='-300.0%', style=plot.style_stepline) //plot(show_all_fibonacci_levels and show_extensions ? lower_2786 : na, color=color.new(intermediate_target_level_color, 40), linewidth=level_size, title='-278.6%', style=plot.style_stepline) plot(show_extensions ? lower_2618 : na, color=color.new(key_target_level_color, 40), linewidth=level_size, title='-261.8%', style=plot.style_stepline) //plot(show_all_fibonacci_levels and show_extensions ? lower_2500 : na, color=color.new(intermediate_target_level_color, 40), linewidth=level_size, title='-250.0%', style=plot.style_stepline) //plot(show_all_fibonacci_levels and show_extensions ? lower_2382 : na, color=color.new(intermediate_target_level_color, 40), linewidth=level_size, title='-238.2%', style=plot.style_stepline) plot(show_extensions ? lower_2236 : na, color=color.new(key_target_level_color, 40), linewidth=level_size, title='-223.6%', style=plot.style_stepline) plot(show_extensions ? lower_2000 : na, color=color.new(atr_target_level_color, 40), linewidth=level_size, title='-200.0%', style=plot.style_stepline) plot(show_all_fibonacci_levels and show_extensions ? lower_1786 : na, color=color.new(intermediate_target_level_color, 40), linewidth=level_size, title='-178.6%', style=plot.style_stepline) plot(show_extensions ? lower_1618 : na, color=color.new(key_target_level_color, 40), linewidth=level_size, title='-161.8%', style=plot.style_stepline) plot(show_all_fibonacci_levels and show_extensions ? lower_1500 : na, color=color.new(intermediate_target_level_color, 40), linewidth=level_size, title='-150.0%', style=plot.style_stepline) plot(show_all_fibonacci_levels and show_extensions ? lower_1382 : na, color=color.new(intermediate_target_level_color, 40), linewidth=level_size, title='-138.2%', style=plot.style_stepline) plot(show_extensions ? lower_1236 : na, color=color.new(key_target_level_color, 40), linewidth=level_size, title='-123.6%', style=plot.style_stepline) plot(lower_1000, color=color.new(atr_target_level_color, 40), linewidth=level_size, title='-100%', style=plot.style_stepline) plot(show_all_fibonacci_levels ? lower_0786 : na, color=color.new(intermediate_target_level_color, 40), linewidth=level_size, title='-78.6%', style=plot.style_stepline) plot(lower_0618, color=color.new(key_target_level_color, 40), linewidth=level_size, title='-61.8%', style=plot.style_stepline) plot(show_all_fibonacci_levels ? lower_0500 : na, color=color.new(intermediate_target_level_color, 40), linewidth=level_size, title='-50.0%', style=plot.style_stepline) plot(show_all_fibonacci_levels ? lower_0382 : na, color=color.new(intermediate_target_level_color, 40), linewidth=level_size, title='-38.2%', style=plot.style_stepline) plot(lower_trigger, color=color.new(lower_trigger_level_color, 40), linewidth=level_size, title='Lower Trigger', style=plot.style_stepline) plot(previous_close, color=color.new(previous_close_level_color, 40), linewidth=level_size, title='Previous Close', style=plot.style_stepline) plot(upper_trigger, color=color.new(upper_trigger_level_color, 40), linewidth=level_size, title='Upper Trigger', style=plot.style_stepline) plot(show_all_fibonacci_levels ? upper_0382 : na, color=color.new(intermediate_target_level_color, 40), linewidth=level_size, title='38.2%', style=plot.style_stepline) plot(show_all_fibonacci_levels ? upper_0500 : na, color=color.new(intermediate_target_level_color, 40), linewidth=level_size, title='50.0%', style=plot.style_stepline) plot(upper_0618, color=color.new(key_target_level_color, 40), linewidth=level_size, title='61.8%', style=plot.style_stepline) plot(show_all_fibonacci_levels ? upper_0786 : na, color=color.new(intermediate_target_level_color, 40), linewidth=level_size, title='78.6%', style=plot.style_stepline) plot(upper_1000, color=color.new(atr_target_level_color, 40), linewidth=level_size, title='100%', style=plot.style_stepline) plot(show_extensions ? upper_1236 : na, color=color.new(key_target_level_color, 40), linewidth=level_size, title='123.6%', style=plot.style_stepline) plot(show_all_fibonacci_levels and show_extensions ? upper_1382 : na, color=color.new(intermediate_target_level_color, 40), linewidth=level_size, title='138.2%', style=plot.style_stepline) plot(show_all_fibonacci_levels and show_extensions ? upper_1500 : na, color=color.new(intermediate_target_level_color, 40), linewidth=level_size, title='150.0%', style=plot.style_stepline) plot(show_extensions ? upper_1618 : na, color=color.new(key_target_level_color, 40), linewidth=level_size, title='161.8%', style=plot.style_stepline) plot(show_all_fibonacci_levels and show_extensions ? upper_1786 : na, color=color.new(intermediate_target_level_color, 40), linewidth=level_size, title='178.6%', style=plot.style_stepline) plot(show_extensions ? upper_2000 : na, color=color.new(atr_target_level_color, 40), linewidth=level_size, title='200.0%', style=plot.style_stepline) plot(show_extensions ? upper_2236 : na, color=color.new(key_target_level_color, 40), linewidth=level_size, title='223.6%', style=plot.style_stepline) //plot(show_all_fibonacci_levels and show_extensions ? upper_2382 : na, color=color.new(intermediate_target_level_color, 40), linewidth=level_size, title='238.2%', style=plot.style_stepline) //plot(show_all_fibonacci_levels and show_extensions ? upper_2500 : na, color=color.new(intermediate_target_level_color, 40), linewidth=level_size, title='250.0%', style=plot.style_stepline) plot(show_extensions ? upper_2618 : na, color=color.new(key_target_level_color, 40), linewidth=level_size, title='261.8%', style=plot.style_stepline) //plot(show_all_fibonacci_levels and show_extensions ? upper_2786 : na, color=color.new(intermediate_target_level_color, 40), linewidth=level_size, title='278.6%', style=plot.style_stepline) plot(show_extensions ? upper_3000 : na, color=color.new(atr_target_level_color, 40), linewidth=level_size, title='300%', style=plot.style_stepline)
Indicador Pine Script®
por Lifipe
Perfect MA Touch – Full Setup 1,3,5,7,8,9 v2This indicator helps you track a precise candle countdown from a moving average touch, labeling key bars (1, 3, 5, 7, 8, 9) for timing entries and momentum setups — with optional coloring, alerts, and full customization. What It Detects 1. MA Touch Trigger The sequence starts when any selected moving average (up to 6 MAs, customizable) is touched by the candle's high/low range. This "perfect touch" initiates the count and labels that candle as "1". 2. Candle Number Labels After a perfect MA touch: Candle 1 = the bar that touches the MA Candle 3 = two bars after Candle 1 Candle 5 = the fifth bar after the touch Candle 7 = third bar after Candle 5 Candle 8 = fourth bar after Candle 5 Candle 9 = fifth bar after Candle 5 It creates a time-based sequence you can use to anticipate reactions or momentum shifts. 3. Customization You can: Choose between EMA or SMA for each MA (6 total) Set custom lengths for each MA (9, 20, 50, 100, 150, 200) Choose which candle numbers (1, 3, 5, 7, 8, 9) to highlight Pick font size and label color 4. Highlighting and Alerts Highlight candles (with color) when certain bars (like 3, 5, 7) print Alerts are available for all tracked bars (1, 3, 5, 7, 8, 9) Use Case Example Let’s say you want to enter trades on the 3rd candle after a perfect MA touch: You set the script to highlight candle 3. When a candle hits your chosen MA (say EMA 9), it’s labeled “1”. Two bars later, bar 3 appears — giving you a timed signal to enter if price behavior aligns. This method is especially useful when paired with: Volume confirmation Breakout or reversal patterns Support/resistance or order block zones
Indicador Pine Script®
por TheTradingGoddess
Mariam 5m Scalping Breakout StrategyPurpose A 5-minute scalping breakout strategy designed to capture fast 3-5 pip moves with high probability, using premium/discount zone filters and market bias conditions. Developed for traders seeking consistent scalps with a proven win rate above 95–98% in optimal conditions. How It Works The script monitors price action in 5-minute intervals, forming a 15-minute high and low range by tracking the highs and lows of the first 3 consecutive 5-minute candles starting from a custom time. In the next 3 candles, it waits for a breakout above the 15m high or below the 15m low while confirming market bias using custom equilibrium zones. Buy signals trigger when price breaks the 15m high while in a discount zone Sell signals trigger when price breaks the 15m low while in a premium zone The strategy simulates trades with fixed 3-5 pip take profit and stop loss values (configurable). All trades are recorded in a table with live trade results and an automatically updated win rate, typically achieving over 90–95% accuracy in favorable market conditions. Features Designed exclusively for the 5-minute timeframe Custom 15-minute high/low breakout logic Premium, Discount, and Equilibrium zone display Built-in backtest tracker with live trade results, statistics, and win rate Customizable start time, take profit, and stop loss settings Real-time alerts on breakout signals Visual markers for trade entries and failed trades Consistent win rate exceeding 90–95% on average when following market conditions Usage Tips Use strictly on 5-minute charts for accurate signal performance. Avoid during high-impact news releases. Important: Once a trade is opened, manually set your take profit at +3 to +5 pips immediately to secure the move, as these quick scalps often hit the target within a single candle. This prevents missed exits during rapid price action.
Indicador Pine Script®
por alghamdi_meriam
Historical Volatility with HV Average & High/Low TrendlinesHere's a detailed description of your Pine Script indicator: --- ### 📊 **Indicator Title**: Historical Volatility with HV Average & High/Low Trendlines **Version**: Pine Script v5 **Purpose**: This script visualizes market volatility using **Historical Volatility (HV)** and enhances analysis by: * Showing a **moving average** of HV to identify volatility trends. * Marking **high and low trendlines** to highlight extremes in volatility over a selected period. --- ### 🔧 **Inputs**: 1. **HV Length (`length`)**: Controls how many bars are used to calculate Historical Volatility. *(Default: 10)* 2. **Average Length (`avgLength`)**: Number of bars used for calculating the moving average of HV. *(Default: 20)* 3. **Trendline Lookback Period (`trendLookback`)**: Number of bars to look back for calculating the highest and lowest values of HV. *(Default: 100)* --- ### 📈 **Core Calculations**: 1. **Historical Volatility (`hv`)**: $$ HV = 100 \times \text{stdev}\left(\ln\left(\frac{\text{close}}{\text{close} }\right), \text{length}\right) \times \sqrt{\frac{365}{\text{period}}} $$ * Measures how much the stock price fluctuates. * Adjusts annualization factor depending on whether it's intraday or daily. 2. **HV Moving Average (`hvAvg`)**: A simple moving average (SMA) of HV over the selected `avgLength`. 3. **HV High & Low Trendlines**: * `hvHigh`: Highest HV value over the last `trendLookback` bars. * `hvLow`: Lowest HV value over the last `trendLookback` bars. --- ### 🖍️ **Visual Plots**: * 🔵 **HV**: Blue line showing raw Historical Volatility. * 🔴 **HV Average**: Red line (thicker) indicating smoothed HV trend. * 🟢 **HV High**: Green horizontal line marking volatility peaks. * 🟠 **HV Low**: Orange horizontal line marking volatility lows. --- ### ✅ **Usage**: * **High HV**: Indicates increased risk or potential breakout conditions. * **Low HV**: Suggests consolidation or calm markets. * **Cross of HV above Average**: May signal rising volatility (e.g., before breakout). * **Touching High/Low Levels**: Helps identify volatility extremes and possible reversal zones. --- Let me know if you’d like to add: * Alerts when HV crosses its average. * Shaded bands or histogram visualization. * Bollinger Bands for HV.
Indicador Pine Script®
por V_G_PRASAD