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Gogol' 500 Nadaraya-Watson Envelope [LuxAlgo]50 Bars 500 Bars Индикатор для анализа рыночных данных, улучшенный за счёт увеличения глубины анализа с 50 до 500 баров. Это позволяет выявлять долгосрочные тренды, снижать влияние рыночного шума и получать более точные сигналы для торговли. Идеален для работы в условиях высокой волатильности и долгосрочного технического анализа.
Penunjuk Pine Script™
oleh ripfreedomone
1
9-15 Ema Strategy by ChartedhighsFeatures: Threshold Input: Allows the user to set a customizable threshold for the absolute difference between the two EMAs (default: 5). Ensures only significant differences are considered for trend identification. Exponential Moving Averages (EMAs): Calculates two EMAs: EMA 9: A faster-moving average for short-term trends. EMA 15: A slower-moving average for mid-term trends. Trend Identification: The absolute difference (ema_diff) between the two EMAs is used to determine trend significance. Conditions for trends: Bullish Trend: EMA 9 is above EMA 15, and their difference meets or exceeds the threshold. Bearish Trend: EMA 9 is below EMA 15, and their difference meets or exceeds the threshold. Visual Indicators: Background Color: Green background for bullish trends. Red background for bearish trends. The transparency level is set to 90 for subtle visualization. If conditions are not met, no background color is applied. EMA Plots: EMA 9 is plotted in blue. EMA 15 is plotted in orange. Provides a clear visual representation of the EMAs on the chart. User-Friendly Settings: Customizable parameters via an input field to adapt the strategy to various market conditions. Purpose: This script helps traders identify strong bullish or bearish trends based on EMA crossovers and their differences, enabling them to make informed decisions. It is particularly useful for quick visual analysis of market trends on any timeframe.
Penunjuk Pine Script™
oleh ChartedHighs
Hold Time With Percentage Drop Catastrophic ExitStrategy Name: Volatile Market Minimum-Hold & Catastrophic Drop Exit Strategy Description: This is a strategy designed to operate effectively within volatile trading environments, with specific rules that balance patience with protection from risk. It looks to capitalize on breakout conditions but provides a failsafe in the event of a sudden severe price decline. Key Features: Volatility-Based Entry Criteria: This strategy is based on Bollinger Bands, ATR, VWAP, and MACD in trying to find breakout opportunities with increased volatility in the markets. It demands that the price go over the upper Bollinger Band when ATR indicates increased turbulence and that MACD signals upward momentum. In this way, it selects trades with high follow-through likelihoods, especially under trending conditions. Minimum Holding Period: Once a long position is initiated, the strategy imposes a strict "no-sell" period in bars. This means that, under normal circumstances, it will not close the position. This encourages the trade to mature, reducing the likelihood of premature exits caused by minor pullbacks or intraday noise. Volume Confirmation: A relative volume filter ensures that breakouts aren't occurring in low-liquidity conditions. In doing so, the strategy is only looking to enter when market participation is well above average, thereby increasing the odds of price moves being legitimate and sustainable. Catastrophic Drop Exit: The strategy includes a "catastrophic drop" mechanism to help mitigate severe, unexpected losses. If the price falls below a user-defined percentage of the entry price—sufficiently large to indicate a major market breakdown—it will override the minimum hold rule and immediately close the position. This helps protect capital if the market suddenly turns sharply negative. User Configuration: All the key parameters, which include the minimum hold duration, catastrophic drop percentage, Bollinger Band settings, MACD lengths, and ATR-based stop/target multiples, are user-editable. Traders can adjust the aggressiveness, holding time, and risk controls of the strategy to fit their specific risk tolerance, trading style, and the volatility profile of the markets in which they're participating. Intended Use Case: This strategy is more suitable for traders operating in more volatile markets, with frequent whipsaws and fast price moves. It tries to capture the upside of a volatile breakout while minimizing the downside from a sudden price collapse by balancing a forced hold period against the flexibility of a catastrophic drop exit. Note: This approach is in line with all automated or rules-based approaches: extensive backtesting and parameter optimization, followed by thorough forward-testing on paper, is very strongly advised before going into live market conditions. Also, adjust parameters to better suit your instrument of choice, timeframe, and your criteria of personal risk management.
Strategi Pine Script™
oleh AwardedCorn
BB MTF with 4H EMA and Configurable RSI Signals By GokhanSMulti-Timeframe Bollinger Bands: Allows users to specify a timeframe to calculate Bollinger Bands. 4H EMA 21: Computes a 21-period EMA from the 4-hour timeframe and displays it on the chart. Configurable RSI Settings: Users can define the RSI period, source, timeframe, and moving average type (SMA, EMA, or WMA). Buy and Sell Signals: "Buy" (green label) and "Sell" (red label) signals are plotted based on RSI and its moving average crossovers.
Penunjuk Pine Script™
oleh OaEi
Altcoin Season Indicator//@version=5 indicator("Altcoin Season Indicator", overlay=false) // Input for Bitcoin Dominance (BTC.D) btcDominance = request.security("CRYPTOCAP:BTC.D", "D", close) altcoinMarketCap = request.security("CRYPTOCAP:TOTAL2", "D", close) // Moving Averages for Trend Analysis btcMA = ta.sma(btcDominance, 50) altMA = ta.sma(altcoinMarketCap, 50) // RSI for Momentum btcRSI = ta.rsi(btcDominance, 14) altRSI = ta.rsi(altcoinMarketCap, 14) // Altcoin Season Conditions btcBearish = btcDominance < btcMA and btcRSI < 50 altBullish = altcoinMarketCap > altMA and altRSI > 50 // Signal for Altcoin Season altcoinSeason = btcBearish and altBullish // Plotting bgcolor(altcoinSeason ? color.new(color.green, 90) : na) plot(btcDominance, color=color.red, title="BTC Dominance") plot(altcoinMarketCap / 1e12, color=color.blue, title="Altcoin Market Cap (T)") alertcondition(altcoinSeason, title="Altcoin Season Signal", message="Altcoin Season may be starting!")
Penunjuk Pine Script™
oleh OmarMizori
Volatility Signaling 50SMAOverview of the Script: The script implements a volatility signaling indicator using a 50-period Simple Moving Average (SMA). It incorporates Bollinger Bands and the Average True Range (ATR) to dynamically adjust the SMA's color based on volatility conditions. Here's a detailed breakdown: Components of the Script: 1. Inputs: The script allows the user to customize key parameters for flexibility: Bollinger Bands Length (length): Determines the period for calculating the Bollinger Bands. Source (src): The price data to use, defaulting to the closing price. Standard Deviation Multiplier (mult): Scales the Bollinger Bands' width. ATR Length (atrLength): Sets the period for calculating the ATR. The 50-period SMA length (smaLength) is fixed at 50. 2. Bollinger Bands Calculation: Basis: Calculated as the SMA of the selected price source over the specified length. Upper and Lower Bands: Determined by adding/subtracting a scaled standard deviation (dev) from the basis. 3. ATR Calculation: Computes the Average True Range over the user-defined atrLength. 4. Volatility-Based Conditions: The script establishes thresholds for Bollinger Band width relative to ATR: Yellow Condition: When the band width (upper - lower) is less than 1.25 times the ATR. Orange Condition: When the band width is less than 1.5 times the ATR. Red Condition: When the band width is less than 1.75 times the ATR. 5. Dynamic SMA Coloring: The 50-period SMA is colored based on the above conditions: Yellow: Indicates relatively low volatility. Orange: Indicates moderate volatility. Red: Indicates higher volatility. White: Default color when no conditions are met. 6. Plotting the 50-Period SMA: The script plots the SMA (sma50) with a dynamically assigned color, enabling visual analysis of market conditions. Use Case: This script is ideal for traders seeking to assess market volatility and identify changes using Bollinger Bands and ATR. The colored SMA provides an intuitive way to gauge market dynamics directly on the chart. Example Visualization: Yellow SMA: The market is in a low-volatility phase. Orange SMA: Volatility is picking up but remains moderate. Red SMA: Higher volatility, potentially signaling significant market activity. White SMA: Neutral/default state.
Penunjuk Pine Script™
oleh Thanat_Pornsirianant
cá nhân//@version=5 strategy("Demo GPT - Supertrend", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=100, commission_type=strategy.commission.percent, commission_value=0.1, slippage=3) // Inputs Periods = input.int(10, title="ATR Period") src = input.source(hl2, title="Source") Multiplier = input.float(3.0, title="ATR Multiplier", step=0.1) changeATR = input.bool(true, title="Change ATR Calculation Method ?") showSignals = input.bool(true, title="Show Signals ?") highlighting = input.bool(true, title="Highlighter On/Off ?") emaPeriod = input.int(50, title="EMA Period") bbLength = input.int(20, title="Bollinger Bands Length") bbMultiplier = input.float(2.0, title="Bollinger Bands Multiplier") // ATR Calculation atr2 = ta.sma(ta.tr, Periods) atr = changeATR ? ta.atr(Periods) : atr2 // Supertrend Calculation up = src - (Multiplier * atr) up1 = nz(up , up) up := close > up1 ? math.max(up, up1) : up dn = src + (Multiplier * atr) dn1 = nz(dn , dn) dn := close < dn1 ? math.min(dn, dn1) : dn trend = 1 trend := nz(trend , trend) trend := trend == -1 and close > dn1 ? 1 : trend == 1 and close < up1 ? -1 : trend // Bollinger Bands Calculation basis = ta.sma(close, bbLength) deviation = ta.stdev(close, bbLength) upperBand = basis + (bbMultiplier * deviation) lowerBand = basis - (bbMultiplier * deviation) // Plot Supertrend and Bollinger Bands upPlot = plot(trend == 1 ? up : na, title="Up Trend", style=plot.style_line, linewidth=2, color=color.green) dnPlot = plot(trend == 1 ? na : dn, title="Down Trend", style=plot.style_line, linewidth=2, color=color.red) plot(upperBand, title="Upper Band", color=color.blue, linewidth=1) plot(lowerBand, title="Lower Band", color=color.blue, linewidth=1) plot(basis, title="BB Basis", color=color.gray, linewidth=1) // Buy and Sell Signals buySignal = close > upperBand sellSignal = close < lowerBand if (buySignal and showSignals) strategy.entry("Buy", strategy.long) if (sellSignal and showSignals) strategy.close("Buy") // Highlighting mPlot = plot(ohlc4, title="", style=plot.style_circles, linewidth=0) longFillColor = highlighting ? (trend == 1 ? color.new(color.green, 90) : na) : na shortFillColor = highlighting ? (trend == -1 ? color.new(color.red, 90) : na) : na fill(mPlot, upPlot, title="UpTrend Highlighter", color=longFillColor) fill(mPlot, dnPlot, title="DownTrend Highlighter", color=shortFillColor) // Date Range Filter startDate = input.time(timestamp("2018-01-01 00:00"), title="Start Date") endDate = input.time(timestamp("2069-12-31 23:59"), title="End Date") inDateRange = (time >= startDate and time <= endDate) if not inDateRange strategy.close_all()
Strategi Pine Script™
oleh nnanhson1987
FVG Smart ScannerThis script helps traders identify potential trading opportunities by combining Fair Value Gaps (FVGs) with other technical indicators. Here's what it specifically looks for: Fair Value Gaps: Spots price gaps that form when price moves quickly, leaving unfilled areas Identifies both bullish gaps (potential upward moves) and bearish gaps (potential downward moves) Visualizes these gaps as colored boxes on your chart (green for bullish, red for bearish) Trend Confirmation: Uses two EMAs (20 and 50 period) to confirm market direction Shows trend lines in blue (20 EMA) and purple (50 EMA) Momentum Check: Uses RSI (Relative Strength Index) to check if the market is overbought or oversold Default settings: Overbought = 70, Oversold = 30 Trading Signals: Shows green triangles below price for potential buy signals when: A bullish gap is found RSI shows oversold conditions 20 EMA is above 50 EMA Shows red triangles above price for potential sell signals when: A bearish gap is found RSI shows overbought conditions 20 EMA is below 50 EMA Customizable Settings: Lookback period (how far back to scan for gaps) FVG threshold (minimum gap size to consider) RSI settings (length and thresholds) Alert System: Can notify you when potential buy or sell setups occur Helps you catch opportunities even when not watching the chart This indicator is best used on any timeframe where you want to spot potential reversals or continuation moves based on unfilled price gaps.
Penunjuk Pine Script™
oleh kaveshn
Advanced Trend Indicator ANAnalysis of the Interaction of the EMA and SMA Lines: Short-Term vs. Long-Term Trend: The EMA reacts faster to price changes and is more “dynamic” in determining the short-term trend, while the SMA is more stable and is often used to detect long-term changes. Example of Intersection: Golden Cross (Golden Cross): When the short-term EMA (e.g., 50 periods) pierces the long-term SMA (e.g., 200 periods) from the bottom up. This is a classic signal indicating the beginning of an uptrend. Death Cross (Death Cross): When the short-term EMA pierces the long-term SMA from the top down. This is a classic signal indicating the beginning of a downtrend. Space Between EMA and SMA: If the space between the EMA and the SMA is widening (the EMA is rising faster than the SMA), this may indicate that the uptrend is strengthening. If the space between the EMA and SMA is shrinking, it may suggest that the trend is weakening and a change in direction is possible. Summary: The EMA is more sensitive to price changes and is used to analyze the short-term trend, reacting quickly to changes. The SMA is more stable and gives a picture of the long-term direction of the market, so it is less susceptible to short-term price fluctuations. Together, these two lines can help you better understand both short-term and long-term market direction and give signals to buy or sell based on their intersections and interactions.
Penunjuk Pine Script™
oleh anchois0
Bollinger Band Cross Strategy//@version=5 indicator("Bollinger Band Cross Strategy", overlay=true) // Input settings for Bollinger Bands length = input.int(20, title="Bollinger Band Length") src = input.source(close, title="Source") mult = input.float(2.0, title="Standard Deviation") // Bollinger Bands calculations basis = ta.sma(src, length) upper = basis + mult * ta.stdev(src, length) lower = basis - mult * ta.stdev(src, length) // Plot the Bollinger Bands plot(basis, color=color.blue, title="Middle Band") plot(upper, color=color.green, title="Upper Band") plot(lower, color=color.red, title="Lower Band") // Buy and Sell conditions buySignal = ta.crossover(close , upper ) and ta.crossover(close, upper) sellSignal = ta.crossunder(close , lower ) and ta.crossunder(close, lower) // Exit conditions exitBuy = ta.crossunder(close, basis) exitSell = ta.crossover(close, basis) // Plot Buy and Sell signals plotshape(series=buySignal, location=location.belowbar, color=color.green, style=shape.labelup, title="Buy Signal", text="BUY") plotshape(series=sellSignal, location=location.abovebar, color=color.red, style=shape.labeldown, title="Sell Signal", text="SELL") // Plot Exit signals plotshape(series=exitBuy, location=location.abovebar, color=color.blue, style=shape.circle, title="Exit Buy", text="EXIT") plotshape(series=exitSell, location=location.belowbar, color=color.orange, style=shape.circle, title="Exit Sell", text="EXIT") // Alerts alertcondition(buySignal, title="Buy Alert", message="Two consecutive candles closed above Upper Bollinger Band - BUY") alertcondition(sellSignal, title="Sell Alert", message="Two consecutive candles closed below Lower Bollinger Band - SELL") alertcondition(exitBuy, title="Exit Buy Alert", message="Candle closed below Middle Bollinger Band - EXIT BUY") alertcondition(exitSell, title="Exit Sell Alert", message="Candle closed above Middle Bollinger Band - EXIT SELL")
Penunjuk Pine Script™
oleh siddharthyadav732
AI-Inspired Trading Strategy//@version=6 strategy("AI-Inspired Trading Strategy", overlay=true) // Step 1: Input parameters for indicators rsiLength = input.int(14, title="RSI Length") rsiOverbought = input.float(70, title="RSI Overbought Level") rsiOversold = input.float(30, title="RSI Oversold Level") smaShortLength = input.int(20, title="Short SMA Length") smaLongLength = input.int(50, title="Long SMA Length") macdFast = input.int(12, title="MACD Fast Length") macdSlow = input.int(26, title="MACD Slow Length") macdSignal = input.int(9, title="MACD Signal Length") // Step 2: Calculate indicators rsi = ta.rsi(close, rsiLength) smaShort = ta.sma(close, smaShortLength) smaLong = ta.sma(close, smaLongLength) macdLine = ta.ema(close, macdFast) - ta.ema(close, macdSlow) signalLine = ta.ema(macdLine, macdSignal) // Step 3: Store crossover and crossunder results smaCrossUp = ta.crossover(smaShort, smaLong) smaCrossDown = ta.crossunder(smaShort, smaLong) macdCrossUp = ta.crossover(macdLine, signalLine) macdCrossDown = ta.crossunder(macdLine, signalLine) // Step 4: Define buy and sell conditions buyCondition = (rsi < rsiOversold) and smaCrossUp and macdCrossUp sellCondition = (rsi > rsiOverbought) or smaCrossDown or macdCrossDown // Step 5: Plot buy and sell signals plotshape(series=buyCondition, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY") plotshape(series=sellCondition, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL") // Step 6: Execute trades if (buyCondition) strategy.entry("Buy", strategy.long) if (sellCondition) strategy.close("Buy")
Strategi Pine Script™
oleh vishwanathsujit