PDF Smoothed Moving Average [BackQuant]PDF Smoothed Moving Average
Introducing BackQuant’s PDF Smoothed Moving Average (PDF-MA) — an innovative trading indicator that applies Probability Density Function (PDF) weighting to moving averages, creating a unique, trend-following tool that offers adaptive smoothing to price movements. This advanced indicator gives traders an edge by blending PDF-weighted values with conventional moving averages, helping to capture trend shifts with enhanced clarity.
Core Concept: Probability Density Function (PDF) Smoothing
The Probability Density Function (PDF) provides a mathematical approach to applying adaptive weighting to data points based on a specified variance and mean. In the PDF-MA indicator, the PDF function is used to weight price data, adding a layer of probabilistic smoothing that enhances the detection of trend strength while reducing noise.
The PDF weights are controlled by two key parameters:
Variance: Determines the spread of the weights, where higher values spread out the weighting effect, providing broader smoothing.
Mean : Centers the weights around a particular price value, influencing the trend’s directionality and sensitivity.
These PDF weights are applied to each price point over the chosen period, creating an adaptive and smooth moving average that more closely reflects the underlying price trend.
Blending PDF with Standard Moving Averages
To further improve the PDF-MA, this indicator combines the PDF-weighted average with a traditional moving average, selected by the user as either an Exponential Moving Average (EMA) or Simple Moving Average (SMA). This blended approach leverages the strengths of each method: the responsiveness of PDF smoothing and the robustness of conventional moving averages.
Smoothing Method: Traders can choose between EMA and SMA for the additional moving average layer. The EMA is more responsive to recent prices, while the SMA provides a consistent average across the selected period.
Smoothing Period: Controls the length of the lookback period, affecting how sensitive the average is to price changes.
The result is a PDF-MA that provides a reliable trend line, reflecting both the PDF weighting and traditional moving average values, ideal for use in trend-following and momentum-based strategies.
Trend Detection and Candle Coloring
The PDF-MA includes a built-in trend detection feature that dynamically colors candles based on the direction of the smoothed moving average:
Uptrend: When the PDF-MA value is increasing, the trend is considered bullish, and candles are colored green, indicating potential buying conditions.
Downtrend: When the PDF-MA value is decreasing, the trend is considered bearish, and candles are colored red, signaling potential selling or shorting conditions.
These color-coded candles provide a quick visual reference for the trend direction, helping traders make real-time decisions based on the current market trend.
Customization and Visualization Options
This indicator offers a range of customization options, allowing traders to tailor it to their specific preferences and trading environment:
Price Source : Choose the price data for calculation, with options like close, open, high, low, or HLC3.
Variance and Mean : Fine-tune the PDF weighting parameters to control the indicator’s sensitivity and responsiveness to price data.
Smoothing Method : Select either EMA or SMA to customize the conventional moving average layer used in conjunction with the PDF.
Smoothing Period : Set the lookback period for the moving average, with a longer period providing more stability and a shorter period offering greater sensitivity.
Candle Coloring : Enable or disable candle coloring based on trend direction, providing additional clarity in identifying bullish and bearish phases.
Trading Applications
The PDF Smoothed Moving Average can be applied across various trading strategies and timeframes:
Trend Following : By smoothing price data with PDF weighting, this indicator helps traders identify long-term trends while filtering out short-term noise.
Reversal Trading : The PDF-MA’s trend coloring feature can help pinpoint potential reversal points by showing shifts in the trend direction, allowing traders to enter or exit positions at optimal moments.
Swing Trading : The PDF-MA provides a clear trend line that swing traders can use to capture intermediate price moves, following the trend direction until it shifts.
Final Thoughts
The PDF Smoothed Moving Average is a highly adaptable indicator that combines probabilistic smoothing with traditional moving averages, providing a nuanced view of market trends. By integrating PDF-based weighting with the flexibility of EMA or SMA smoothing, this indicator offers traders an advanced tool for trend analysis that adapts to changing market conditions with reduced lag and increased accuracy.
Whether you’re trading trends, reversals, or swings, the PDF-MA offers valuable insights into the direction and strength of price movements, making it a versatile addition to any trading strategy.
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O Piá Das Criptos - Super RSI BASED!Estrutura Geral do Código:
O código é um indicador de análise técnica que combina o Índice de Força Relativa (RSI) e a Média Móvel Exponencial (EMA) do RSI do Bitcoin (BTC). O objetivo é ajudar os traders a identificar condições de sobrecompra e sobrevenda, assim como a força relativa do ativo em comparação ao Bitcoin.
Youtube: O Piá das Criptos!
Definições Iniciais:
- RSI, EMA e SMMA: O código permite que o usuário defina os períodos para o RSI (padrão de 14), EMA do RSI e SMMA (Média Móvel Suavizada) do RSI. Os valores padrão são 14 para o RSI e 9 para a EMA do RSI do BTC.
Cálculo do RSI:
- RSI do Ativo Atual: Calcula o RSI do ativo que está sendo analisado com base no fechamento das velas.
- RSI do Bitcoin: Usa a função request.security para buscar o RSI do Bitcoin, permitindo comparações entre o ativo e o BTC.
Cores das Linhas do RSI
Linha do RSI do Ativo:
-Cor Azul: Quando o RSI do ativo está acima do RSI do Bitcoin.
-Cor Verde: Quando o RSI do ativo está acima de 70 (zona de sobrecompra).
-Cor Vermelha: Quando o RSI do ativo está abaixo de 30 (zona de sobrevenda).
- Branca: Cor padrão quando o ativo não está em uma condição extrema.
- Quando o RSI do Bitcoin está acima de 70, indicando que o Bitcoin está sobrecomprado. Essa linha pode ficar mais transparente se estiver abaixo do nível de sobrecompra, o que a torna menos proeminente visualmente (vermelho).
Linha do RSI do Bitcoin:
-Cor Vermelha: Quando o RSI do Bitcoin está acima de 70 (zona de sobrecompra).
-Cor Vermelha com Transparência: Quando o RSI do Bitcoin está abaixo de 70.
Cálculo das Médias Móveis:
- EMA do RSI do Bitcoin: Calcula a média móvel exponencial do RSI do Bitcoin com base no período definido (9).
- SMMA do RSI do Ativo: Calcula a média móvel suavizada do RSI do ativo, usando o período definido (14).
Linhas de Sobrecompra e Sobrevenda
Linhas Horizontais:
-Sobrecompra (70): Linha pontilhada verde.
-Sobrevenda (30): Linha pontilhada vermelha.
-Linha do Meio (50): Linha pontilhada cinza.
Preenchimento:
-Área acima de 70 é preenchida em verde (zona de sobrecompra).
-Área abaixo de 30 é preenchida em vermelho (zona de sobrevenda).
Cálculo do Delta BTC:
- O Delta BTC é calculado em múltiplos timeframes (1 minuto, 5 minutos, 15 minutos, 1 hora, 4 horas e 1 dia) usando o RSI do ativo e comparando com a EMA do RSI do Bitcoin.
Cor das Velas
Candle de Compra:
- Azul, se o fechamento da vela for maior que a abertura e se o ativo estiver acima do BTC.
Candle de Venda:
- Laranja, se o fechamento da vela for menor que a abertura e se o ativo estiver acima do BTC.
Alertas
Configura alertas para notificar o usuário quando:
- O ativo ultrapassa a linha de sobrecompra.
- O ativo cai abaixo da linha de sobrevenda.
Etiquetas:
- As etiquetas são criadas para mostrar os valores atuais do RSI do ativo, do RSI do Bitcoin, da EMA do RSI do Bitcoin e da SMMA do RSI do ativo. Elas são adicionadas ao gráfico, e etiquetas antigas são removidas para evitar confusão.
Bolinhas no Gráfico
-As bolinhas servem como indicadores visuais para várias condições
Cruzamento da EMA:
- Bolinhas Verdes: Quando a EMA do RSI do Bitcoin cruza para cima.
- Bolinhas Vermelhas: Quando a EMA do RSI do Bitcoin cruza para baixo.
Condições do RSI do Ativo:
- Bolinhas Azuis: Quando o RSI do ativo está acima de 50, acima da EMA do RSI do BTC e acima do próprio RSI do Bitcoin.
Cruzamento do RSI do Ativo com o RSI do Bitcoin:
-Bolinhas Brancas: Quando o RSI do ativo cruza o RSI do Bitcoin.
Cruzamento do RSI do Ativo com a EMA do RSI do Bitcoin:
-"X" Verdes: Quando o RSI do ativo cruza para cima a EMA do RSI do Bitcoin.
-"X" Vermelhos: Quando o RSI do ativo cruza para baixo a EMA do RSI do Bitcoin
RSI Bollinger Volume StrategyThe RSI Bollinger Volume Reversal Strategy is designed to capture potential reversal points by combining RSI-based Bollinger Bands, volume analysis, and momentum shifts. This strategy is effective for identifying entry and exit points in markets where reversals frequently occur after high volatility or extreme momentum.
O Piá Das Criptos - Gráfico BASED//FORÇA DO RSI: O script calcula o RSI para o ativo em análise e para o Bitcoin (BTC). A força do RSI é a diferença entre o RSI do ativo atual e o RSI do Bitcoin. Um valor positivo indica que o ativo está mais forte em relação ao BTC, enquanto um valor negativo indica fraqueza.
//DELTA BTC: O script calcula a variação percentual do preço do ativo e do BTC para diferentes intervalos de tempo (1 minuto, 5 minutos, 15 minutos, etc.). O Delta BTC é então a diferença entre essas variações. Um valor positivo indica que o ativo teve um desempenho melhor que o BTC, enquanto um valor negativo indica o contrário.
//EXP BTC: O script calcula a EMA do ativo e a EMA do BTC e depois determina a diferença percentual entre o preço atual e essas EMAs. A comparação mostra como o ativo está performando em relação ao BTC baseado nas EMAs. Valores positivos sugerem que o ativo está performando melhor em relação ao BTC em termos de média móvel, enquanto valores negativos sugerem o oposto.
//EMAS: O código calcula EMAs de diferentes períodos (9, 21, 50, 100, 150, 200, 210, 250, 300) e as plota no gráfico. A interseção entre EMAs de diferentes períodos é usada para identificar possíveis sinais de compra e venda.
//SINAIS DE COMPRA: Quando a EMA de 9 períodos cruza acima da EMA de 21 períodos (crossover), é gerado um emoticon de coração. A parte interna das EMA fica verde.
//SINAIS DE VENDA: Quando a EMA de 9 períodos cruza abaixo da EMA de 21 períodos (crossunder), é gerado um emoticoin de raiva. A parte interna das EMA fica vermelha.
//FUNDO GRÁFICO: A cor do fundo do gráfico pode ser alterada com base na força do RSI, facilitando a visualização rápida do estado do ativo (força ou fraqueza).
//ALERTAS: notificam o trader sobre aumento ou diminuição da força do ativo em relação ao BTC, e Cruzamentos das EMAs (crossover e crossunder), ajudando o trader a não perder oportunidades.
//ALVOS DO TOURO: Calculados quando a EMA de 9 cruza acima da EMA de 21. Os alvos são definidos com base na diferença entre o preço de abertura do candle (na hora do crossover) e uma média do preço máximo recente.
//ALVOS DO URSO: Calculados quando a EMA de 9 cruza abaixo da EMA de 21. Os alvos são definidos com base na diferença entre o preço de abertura do candle (na hora do crossunder) e uma média do preço mínimo recente.
Hodrick-Prescott Filter (YavuzAkbay)The Hodrick-Prescott (HP) Filter Trend indicator offers a condensed version of the traditional HP filter, which is frequently employed in time series analysis related to the economy and finance. To assist traders and analysts in determining the underlying long-term trend of an asset, this indicator smoothes the price series in order to extract a trend component.
How It Operates: A time series is divided into its trend and cycle using the HP filter. By eliminating short-term noise and emphasising the market's direction with a smoother line, this approach concentrates solely on the trend component. The trend's degree of adherence to price data can be adjusted by varying the smoothness parameter (lambda); a smoother line is produced by higher values.
Examples of Use:
Trend Identification: By separating the long-term trend and making it simpler to disregard short-term noise, the HP Filter Trend helps identify the dominant market direction.
Trading Signal Confirmation: To keep traders in line with the general trend, the HP trend line can be used to validate other trend-following signals.
Important Notes:
The choice of lambda is essential. Recommended lambda levels are 100, 1600 and 14,400.
This indicator will be much more useful if it is used together with another indicator of mine, HP Filter Cycle Component.
Trading is risky, and most traders lose money. The indicators Yavuz Akbay offers are for informational and educational purposes only. All content should be considered hypothetical, selected after the facts to demonstrate my product, and not constructed as financial advice. Decisions to buy, sell, hold, or trade in securities, commodities, and other investments involve risk and are best made based on the advice of qualified financial professionals. Past performance does not guarantee future results.
This indicator is experimental and will always remain experimental. The indicator will be updated by Yavuz Akbay according to market conditions.
Engulfing Pattern with Multiple EMAs and AlertsCreated in copilot for pine script for bullish and bearish engulfing where the signal appears if the engulfing candle closed above or below the 14ema and it must close with the ema passing through either the wick or the candle body, also another stipulation the engulfing candle must be at least a min of 2x the size of the previous candle. The AI created this already adding the 14 ema so I added the 50 and 200 Emas as extras
The Pattern-Synced Moving Average System (PSMA)Description:
The Pattern-Synced Moving Average System (PSMA) is a comprehensive trading indicator that combines the reliability of moving averages with automated candlestick pattern detection, real-time alerts, and dynamic risk management to enhance both trend-following and reversal strategies. The PSMA system integrates key elements of trend analysis and pattern recognition to provide users with configurable entry, stop-loss, and take-profit levels. It is designed for all levels of traders who seek to trade in alignment with market context, using signals from trend direction and established candlestick patterns.
Key Functional Components:
Multi-Type Moving Average:
Provides flexibility with multiple moving average options: SMA, EMA, WMA, and SMMA.
The selected moving average helps users determine market trend direction, with price positions relative to the MA acting as a trend confirmation.
Automatic Candlestick Pattern Detection:
Identifies pivotal patterns, including bullish/bearish engulfing and reversal signals.
Helps traders spot potential market turning points and adjust their strategies accordingly.
Configurable Entry, Stop-Loss, and Take-Profit:
Risk management is customizable through risk/reward ratios and risk tolerance settings.
Entry, stop-loss, and take-profit levels are automatically plotted when patterns appear, facilitating rapid trade decision-making with predefined exit points.
Higher Timeframe Trend Confirmation:
Optional feature to verify trend alignment on a higher timeframe (e.g., checking a daily trend on an intraday chart).
This added filter improves signal reliability by focusing on patterns aligned with the broader market trend.
Real-Time Alerts:
Alerts can be set for key pattern detections, allowing traders to respond promptly without constant chart monitoring.
How to Use PSMA:
Set Moving Average Preferences:
Choose the preferred moving average type and length based on your trading strategy. The MA acts as a foundational trend indicator, with price positions indicating potential uptrends (price above MA) or downtrends (price below MA).
Adjust Risk Management Settings:
Set a Risk/Reward Ratio for defining take-profit levels relative to the entry and stop-loss levels.
Modify the Risk Tolerance Percentage to adjust stop-loss placement, adding flexibility in managing trades based on market volatility.
Activate Higher Timeframe Confirmation (Optional):
Enable higher timeframe trend confirmation to filter out counter-trend trades, ensuring that detected patterns are in sync with the larger market trend.
Review Alerts and Trade Levels:
With PSMA’s real-time alerts, traders receive notifications for detected patterns without having to continuously monitor charts.
Visualized entry, stop-loss, and take-profit lines simplify trade execution by highlighting levels directly on the chart.
Execute Based on Entry and Exit Levels:
The entry line suggests the potential entry price once a bullish or bearish pattern is detected.
The stop-loss line is based on your set risk tolerance, establishing a predefined risk level.
The take-profit line is calculated according to your preferred risk/reward ratio, providing a clear profit target.
Example Strategy:
Ensure price is above or below the selected moving average to confirm trend direction.
Await a PSMA signal for a bullish or bearish pattern.
Review the plotted entry, stop-loss, and take-profit lines, and enter the trade if the setup aligns with your risk/reward criteria.
Activate alerts for continuous monitoring, allowing PSMA to notify you of emerging trade opportunities.
Release Notes:
Line Color and Style Customization: Customizable colors and line styles for entry, stop-loss, and take-profit levels.
Dynamic Trade Tracking: Tracks trade statistics, including total trades, win rate, and average P/L, displayed in the data window for comprehensive trade performance analysis.
Summary: The PSMA indicator is a powerful, user-friendly tool that combines trend detection, pattern recognition, and risk management into a cohesive system for improved trade decision-making. Suitable for stocks, forex, and futures, PSMA offers a unique blend of adaptability and precision, making it valuable for day traders and long-term investors alike. Enjoy this tool as it enhances your ability to execute timely, well-informed trades on TradingView.
SMA- Ashish SinghSMA
This script implements a Simple Moving Average (SMA) crossover strategy using three SMAs: 200-day, 50-day, and 20-day, with buy and sell signals triggered based on specific conditions involving these moving averages. The indicator is overlaid on the price chart, providing visual cues for potential buy and sell opportunities based on moving average crossovers.
Key Features:
Moving Averages:
The 200-day, 50-day, and 20-day SMAs are calculated and plotted on the price chart. These are key levels that traders use to assess trends.
The 200-day SMA represents the long-term trend, the 50-day SMA is used for medium-term trends, and the 20-day SMA is for short-term analysis.
Buy Signal:
A buy signal is triggered when the price is below all three moving averages (200 SMA, 50 SMA, 20 SMA) and the SMAs are in a specific downward trend (200 SMA > 50 SMA > 20 SMA). This is an indication of a potential upward reversal.
The buy signal is marked with a green triangle below the price bar.
Sell Signal:
A sell signal is triggered when the price is above all three moving averages and the SMAs are in a specific upward trend (200 SMA < 50 SMA < 20 SMA). This signals a potential downward reversal.
The sell signal is marked with a red triangle above the price bar.
Trade Information:
After a buy signal, the buy price, bar index, and timestamp are recorded. When a sell signal occurs, the percentage gain or loss is calculated along with the number of days between the buy and sell signals.
The script automatically displays a label on the chart showing the gain or loss percentage along with the number of days the trade lasted. Green labels represent gains, and red labels represent losses.
User-friendly Visuals:
The buy and sell signals are plotted as small triangles directly on the chart for easy identification.
Detailed trade information is provided with well-formatted labels to highlight the profit or loss after each trade.
How It Works:
This strategy helps traders to identify trend reversals by leveraging long-term and short-term moving averages.
A single buy or sell signal is triggered based on price movement relative to the SMAs and their order.
The tool is designed to help traders quickly spot buying and selling opportunities with clear visual indicators and gain/loss metrics.
This indicator is ideal for traders looking to implement a systematic SMA-based strategy with well-defined buy/sell points and automatic performance tracking for each trade.
Disclaimer: The information provided here is for educational and informational purposes only. It is not intended as financial advice or as a recommendation to buy or sell any stocks. Please conduct your own research or consult a financial advisor before making any investment decisions. ProfitLens does not guarantee the accuracy, completeness, or reliability of any information presented.
ChikouTradeIndicatorIndicator Title: ChikouTradeIndicator
Short Title: CTI
Description:
The ChikouTradeIndicator (CTI) is designed to help traders identify potential trend reversals by analyzing short-term and long-term price ranges. It calculates the midpoint of the highest high and lowest low over two customizable lengths – the Turning Length (TL) and the Kumo Length (KL) – and determines market momentum by plotting the difference between these midpoints.
How It Works:
- Positive values (above the zero line) indicate bullish momentum, suggesting potential buying opportunities.
- Negative values (below the zero line) indicate bearish momentum, suggesting potential selling opportunities.
Features:
- Two customizable inputs:
- TL (Turning Length): Period used to calculate the short-term high/low midpoint.
- KL (Kumo Length): Period used to calculate the longer-term high/low midpoint.
Disclaimer:
This indicator is intended as a supportive tool to enhance trading analysis. It does not guarantee profitability and should be used with caution. Trading involves risk, and users should perform their own research before making any trading decisions. The developer is not responsible for any losses incurred through the use of this indicator.
Colored Moving Averages With RSI SignalsMoving Average (MA):
Helps to determine the overall market trend. If the price is above the MA, it may indicate an uptrend, and if below, a downtrend.
In this case, a Simple Moving Average (SMA) is used, but other types can be applied as well.
Relative Strength Index (RSI):
This is an oscillator that measures the speed and changes of price movements.
Values above 70 indicate overbought conditions (possible sell signal), while values below 30 indicate oversold conditions (possible buy signal).
Purpose of This Indicator:
Trading Signals: The indicator generates "Buy" and "Sell" signals based on the intersection of the price line and the moving average, as well as RSI values. This helps traders make more informed decisions.
Signal Filtering: Using RSI in combination with MA allows for filtering false signals since it considers not only the current trend but also the state of overbought or oversold conditions.
How to Use:
For Short-Term Trading: Traders can use buy and sell signals to enter trades based on short-term market fluctuations.
In Combination with Other Indicators: It can be combined with other indicators for a more comprehensive analysis (e.g., adding support and resistance levels).
Overall, this indicator helps traders respond more quickly and accurately to changes in market conditions, enhancing the chances of successful trades.
Gelişmiş Destek/Direnç, Fibonacci ve Al/Sat Sinyalleri//@version=5
indicator("Gelişmiş Destek/Direnç, Fibonacci ve Al/Sat Sinyalleri", overlay=true)
// Parametreler
smaLength = input.int(50, "SMA Uzunluğu", minval=1)
atrLength = input.int(14, "ATR Uzunluğu", minval=1)
lookback = input.int(20, "Destek/Direnç Aralığı", minval=1)
volumeThreshold = input.float(1.5, "Hacim Eşik Değeri", minval=1)
// Ortalama Gerçek Aralık (ATR) ile Destek/Direnç Seviyeleri
atr = ta.atr(atrLength)
highestHigh = ta.highest(high, lookback)
lowestLow = ta.lowest(low, lookback)
upperBand = highestHigh + atr
lowerBand = lowestLow - atr
// Fibonacci Seviyeleri
fib_0 = lowestLow
fib_236 = lowestLow + (highestHigh - lowestLow) * 0.236
fib_382 = lowestLow + (highestHigh - lowestLow) * 0.382
fib_50 = lowestLow + (highestHigh - lowestLow) * 0.5
fib_618 = lowestLow + (highestHigh - lowestLow) * 0.618
fib_100 = highestHigh
// SMA Hesaplama
sma = ta.sma(close, smaLength)
// Al/Sat Sinyalleri - Fiyat SMA'nın Üzerinde ve Hacim Yüksek Olmalı
isBullish = ta.crossover(close, sma) and volume > ta.sma(volume, 20) * volumeThreshold
isBearish = ta.crossunder(close, sma) and volume > ta.sma(volume, 20) * volumeThreshold
// Grafik Üzerine Çizim
plot(sma, color=color.blue, linewidth=2, title="50 Günlük SMA")
// Dinamik Destek ve Direnç Çizgileri
var line upperLine = na
var line lowerLine = na
if (bar_index > lookback)
line.delete(upperLine)
line.delete(lowerLine)
upperLine := line.new(x1=bar_index-lookback, y1=upperBand, x2=bar_index, y2=upperBand, color=color.red, width=1, style=line.style_dotted)
lowerLine := line.new(x1=bar_index-lookback, y1=lowerBand, x2=bar_index, y2=lowerBand, color=color.green, width=1, style=line.style_dotted)
// Fibonacci Çizgileri
line.new(bar_index - lookback, fib_0, bar_index, fib_0, color=color.purple, width=1, style=line.style_solid)
line.new(bar_index - lookback, fib_236, bar_index, fib_236, color=color.purple, width=1, style=line.style_dotted)
line.new(bar_index - lookback, fib_382, bar_index, fib_382, color=color.purple, width=1, style=line.style_dotted)
line.new(bar_index - lookback, fib_50, bar_index, fib_50, color=color.purple, width=1, style=line.style_dotted)
line.new(bar_index - lookback, fib_618, bar_index, fib_618, color=color.purple, width=1, style=line.style_dotted)
line.new(bar_index - lookback, fib_100, bar_index, fib_100, color=color.purple, width=1, style=line.style_solid)
// Al ve Sat İşaretleri
plotshape(series=isBullish, location=location.abovebar, color=color.green, style=shape.labelup, text="AL")
plotshape(series=isBearish, location=location.belowbar, color=color.red, style=shape.labeldown, text="SAT")
OverSold-Overbought Zone ST.Strateji ile beraber SSL Channels kullanılmalı. Destek Direnç belirlemeye dikkat edilmeli.
Dark Mode EMA/SMA Clouds 1. Consolidated Inputs and Colors: Used arrays to handle multiple moving average lengths, colors, and display settings, reducing repetition.
2. Loop for Cloud Creation: A loop handles each cloud, applying both EMA and SMA choices with plot and fill in fewer lines.
3. Flexible Configuration: The structure allows toggling each cloud independently while maintaining clarity.
MA 20, MA 50, MA 200, and Long/Sell SignalsLong Signal: A green "LONG" label appears below the bar when the price is above all three moving averages (20, 50, and 200) and there is a significant volume spike (1.5x the 20-day average volume). This indicates strong bullish momentum.
Sell Signal: A red "SELL" label appears above the bar when the price is below all three moving averages (20, 50, and 200) and the volume is high, signaling strong selling momentum and potential bearish continuation
Monthly EMA Touches CounterKey Features of This Script:
Touch Threshold: The script checks if the price is within a specified percentage of each EMA.
Monthly Touch Counters: Separate counters (touchCountEMA12, touchCountEMA26, touchCountEMA50) are used to count touches for each EMA.
Reset Logic: All counters reset at the start of a new month using if ta.change(time("M")).
Increment Logic: Each counter increments whenever the corresponding EMA is touched during a bar.
Label Management: Labels are created to display each count above the bars at the end of each month.
Alert Conditions: Alerts are set up for when the price touches any of the EMAs.
Usage:
Copy and paste this script into TradingView's Pine Script editor.
Add it to your chart to see how many times the price has touched each of the EMAs (12, 26, and 50) on a monthly basis.
Adjust the Touch Threshold (%) input as needed for sensitivity.
This implementation will allow you to effectively track and visualize how often price touches each of these EMAs on a monthly basis. If you have further modifications or additional features you'd like to explore, feel free to ask
MACD Cloud with Moving Average and ATR BandsThe algorithm implements a technical analysis indicator that combines the MACD Cloud, Moving Averages (MA), and volatility bands (ATR) to provide signals on market trends and potential reversal points. It is divided into several sections:
🎨 Color Bars:
Activated based on user input.
Controls bar color display according to price relative to ATR levels and moving average (MA).
Logic:
⚫ Black: Potential bearish reversal (price above the upper ATR band).
🔵 Blue: Potential bullish reversal (price below the lower ATR band).
o
🟢 Green: Bullish trend (price between the MA and upper ATR band).
o
🔴 Red: Bearish trend (price between the lower ATR band and MA).
o
📊 MACD Bars:
Description:
The MACD Bars section is activated by default and can be modified based on user input.
🔴 Red: Indicates a bearish trend, shown when the MACD line is below the Signal line (Signal line is a moving average of MACD).
🔵 Blue: Indicates a bullish trend, shown when the MACD line is above the Signal line.
Matching colors between MACD Bars and MACD Cloud visually confirms trend direction.
MACD Cloud Logic: The MACD Cloud is based on Moving Average Convergence Divergence (MACD), a momentum indicator showing the relationship between two moving averages of price.
MACD and Signal Lines: The cloud visualizes the MACD line relative to the Signal line. If the MACD line is above the Signal line, it indicates a potential bullish trend, while below it suggests a potential bearish trend.
☁️ MA Cloud:
The MA Cloud uses three moving averages to analyze price direction:
Moving Average Relationship: Three MAs of different periods are plotted. The cloud turns green when the shorter MA is above the longer MA, indicating an uptrend, and red when below, suggesting a downtrend.
Trend Visualization: This graphical representation shows the trend direction.
📉 ATR Bands:
The ATR bands calculate overbought and oversold limits using a weighted moving average (WMA) and ATR.
Center (matr): Shows general trend; prices above suggest an uptrend, while below indicate a downtrend.
Up ATR 1: Marks the first overbought level, suggesting a potential bearish reversal if the price moves above this band.
Down ATR 1: Marks the first oversold level, suggesting a possible bullish reversal if the price moves below this band.
Up ATR 2: Extends the overbought range to an extreme, reinforcing the possibility of a bearish reversal at this level.
Down ATR 2: Extends the oversold range to an extreme, indicating a stronger bullish reversal possibility if price reaches here.
Español:
El algoritmo implementa un indicador de análisis técnico que combina la nube MACD, promedios móviles (MA) y bandas de volatilidad (ATR) para proporcionar señales sobre tendencias del mercado y posibles puntos de reversión. Se divide en varias secciones:
🎨 Barras de Color:
- Activado según la entrada del usuario.
- Controla la visualización del color de las barras según el precio en relación con los niveles de ATR y el promedio móvil (MA).
- **Lógica:**
- ⚫ **Negro**: Reversión bajista potencial (precio por encima de la banda superior ATR).
- 🔵 **Azul**: Reversión alcista potencial (precio por debajo de la banda inferior ATR).
- 🟢 **Verde**: Tendencia alcista (precio entre el MA y la banda superior ATR).
- 🔴 **Rojo**: Tendencia bajista (precio entre la banda inferior ATR y el MA).
### 📊 Barras MACD:
- **Descripción**:
- La sección de barras MACD se activa por defecto y puede modificarse según la entrada del usuario.
- 🔴 **Rojo**: Indica una tendencia bajista, cuando la línea MACD está por debajo de la línea de señal (la línea de señal es una media móvil de la MACD).
- 🔵 **Azul**: Indica una tendencia alcista, cuando la línea MACD está por encima de la línea de señal.
- La coincidencia de colores entre las barras MACD y la nube MACD confirma visualmente la dirección de la tendencia.
### 🌥️ Nube MACD:
- **Lógica de la Nube MACD**: Basada en el indicador de convergencia-divergencia de medias móviles (MACD), que muestra la relación entre dos medias móviles del precio.
- **Líneas MACD y de Señal**: La nube visualiza la relación entre la línea MACD y la línea de señal. Si la línea MACD está por encima de la de señal, indica una tendencia alcista potencial; si está por debajo, sugiere una tendencia bajista.
### ☁️ Nube MA:
- **Relación entre Medias Móviles**: Se trazan tres medias móviles de diferentes períodos. La nube se vuelve verde cuando la media más corta está por encima de la más larga, indicando una tendencia alcista, y roja cuando está por debajo, sugiriendo una tendencia bajista.
- **Visualización de Tendencias**: Proporciona una representación gráfica de la dirección de la tendencia.
### 📉 Bandas ATR:
- Las bandas ATR calculan límites de sobrecompra y sobreventa usando una media ponderada y el ATR.
- **Centro (matr)**: Muestra la tendencia general; precios por encima indican tendencia alcista y debajo, bajista.
- **Up ATR 1**: Marca el primer nivel de sobrecompra, sugiriendo una reversión bajista potencial si el precio sube por encima de esta banda.
- **Down ATR 1**: Marca el primer nivel de sobreventa, sugiriendo una reversión alcista potencial si el precio baja por debajo de esta banda.
- **Up ATR 2**: Amplía el rango de sobrecompra a un nivel extremo, reforzando la posibilidad de reversión bajista.
- **Down ATR 2**: Extiende el rango de sobreventa a un nivel extremo, sugiriendo una reversión alcista más fuerte si el precio alcanza esta banda.
Austin's Apex AcceleratorIndicator Name: Austin’s Apex Accelerator
Overview
The Austin’s Apex Accelerator is a highly aggressive trading indicator designed specifically for high-frequency Forex trading. It combines several technical analysis tools to identify rapid entry and exit points, making it well-suited for intraday or even lower timeframe trades. The indicator leverages a combination of exponential moving averages (EMAs), Bollinger Bands, volume filters, and volatility-adjusted ranges to detect breakout opportunities and manage risk with precision.
Core Components
Fast and Slow EMAs: The two EMAs act as trend and momentum indicators. When the shorter EMA crosses the longer EMA, it signals a change in momentum. The crossover of these EMAs often indicates a potential entry point, especially when combined with volume and volatility filters.
ATR-Based Range Filter: Using the Average True Range (ATR) for dynamic range calculation, the indicator adapts to market volatility. Higher ATR values widen the range, helping the indicator adjust for volatile conditions.
Volume Filter: A volume condition ensures that buy and sell signals only trigger when there’s significant market interest, reducing the likelihood of false signals in low-liquidity environments.
Bollinger Bands: The Bollinger Bands provide additional context for potential overbought or oversold conditions, highlighting opportunities for price reversals or trend continuations.
Key Features
Aggressive Buy and Sell Signals:
Buy Signal: A buy signal is generated when the fast EMA crosses above the slow EMA, confirming bullish momentum, and the volume condition is met. If the price is also near the lower Bollinger Band, it adds further confirmation of an oversold condition.
Sell Signal: A sell signal is generated when the fast EMA crosses below the slow EMA, confirming bearish momentum, with sufficient trading volume. If the price is near the upper Bollinger Band, it signals a potential overbought condition, which supports the sell signal.
Dynamic Range with ATR:
The indicator uses a volatility-based range, derived from the ATR, to adjust the signal sensitivity based on recent price fluctuations. This dynamic range ensures that signals are responsive in both high and low volatility conditions.
The range’s upper and lower bands act as thresholds, with trades often occurring when the price breaches these levels, signaling momentum shifts or trend reversals.
Trend Background Color:
A green background highlights bullish trends when the fast EMA is above the slow EMA.
A red background signifies bearish trends when the fast EMA is below the slow EMA, providing a visual indication of the overall market trend direction.
Trend Line:
The indicator plots a dynamic trend line that changes color based on the price's relationship to the EMAs, helping traders quickly assess the current trend’s strength and direction.
Alerts:
The indicator includes configurable alerts for buy and sell signals, allowing traders to be notified of entry opportunities without needing to monitor the chart continuously.
How to Use Austin’s Apex Accelerator
Identify Entry Points:
Buy Entry: When the fast EMA crosses above the slow EMA, a buy signal is triggered. Confirm this signal by checking if the price is near or below the lower Bollinger Band (indicating an oversold condition) and if trading volume meets the set threshold.
Sell Entry: When the fast EMA crosses below the slow EMA, a sell signal is triggered. Confirm the signal by ensuring the price is near or above the upper Bollinger Band (suggesting an overbought condition) and that volume is sufficient.
Exit Strategy:
Take Profit: The take profit level is calculated as 1.5 times the ATR from the entry point. This ensures that each trade aims to achieve a positive risk/reward ratio.
Stop Loss: The stop loss is set at 1 ATR from the entry, providing a tight risk control mechanism that limits potential losses on each trade.
Trend Identification and Background Colors:
Use the background colors to assess the trend direction. A green background indicates a bullish trend, while a red background suggests a bearish trend. These colors can help you filter signals that go against the trend, increasing the chances of a successful trade.
Volume Confirmation:
This indicator has an inbuilt volume filter to prevent trading in low-volume conditions. Look for signals only when volume exceeds the average volume threshold, which is set by the multiplier. This helps avoid trading during quieter times when false signals are more likely.
Alerts:
Set up alerts for buy and sell signals to be notified in real-time whenever a new trading opportunity arises, so you can act on high-quality signals promptly.
Practical Tips for Using Austin’s Apex Accelerator
Timeframe: Best suited for short timeframes such as 5-minute or 15-minute charts for high-frequency trading.
Pullback Scalp Trade V2Pullback Scalp Trading Indicator
This indicator combines multiple technical analysis tools to identify potential pullback trading opportunities in trending markets. It uses a dual moving average system along with RSI for confirmation, providing a comprehensive approach to trend-following and momentum trading.
Key Features:
1. Trend Identification:
- Uses 50 and 200 period moving averages to define the overall trend
- Visual trend zone highlighting for clear market direction
- Customizable MA periods for different timeframes
2. Signal Generation System:
- Combines RSI crossovers with trend direction
- Buy signals occur when:
* Price is above 200 MA (uptrend)
* RSI crosses above its SMA
* RSI is below the lower threshold (default 50)
- Sell signals occur when:
* Price is below 200 MA (downtrend)
* RSI crosses below its SMA
* RSI is above the upper threshold (default 50)
3. Customizable Parameters:
- Short and Long MA periods
- MA types (SMA, EMA, VWMA)
- RSI length and RSI-SMA length
- RSI signal thresholds
- Trend MA periods
Usage Guidelines:
- Best used on higher timeframes (1H and above) for trend trading
- Wait for price to respect the trend zone before taking trades
- Use additional confirmation from price action or other indicators
- Adjust RSI levels based on market volatility
Limitations:
- Like all indicators, this tool may generate false signals in choppy markets
- Should not be used as a sole decision-making tool
- Past performance does not guarantee future results
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Türkçe Açıklama:
Bu indikatör, trendli piyasalarda potansiyel geri çekilme fırsatlarını belirlemek için birden fazla teknik analiz aracını birleştirir. Trend takibi ve momentum ticareti için kapsamlı bir yaklaşım sunan ikili hareketli ortalama sistemi ile RSI'yı bir arada kullanır.
Temel Özellikler:
1. Trend Belirleme:
- Genel trendi tanımlamak için 50 ve 200 periyotlu hareketli ortalamalar
- Görsel trend bölgesi vurgulaması
- Farklı zaman dilimleri için özelleştirilebilir MA periyotları
2. Sinyal Üretim Sistemi:
- RSI kesişimlerini trend yönü ile birleştirir
- Alış sinyalleri şu durumlarda oluşur:
* Fiyat 200 MA'nın üzerinde (yükseliş trendi)
* RSI, SMA'sını yukarı keser
* RSI alt eşiğin altında (varsayılan 50)
- Satış sinyalleri şu durumlarda oluşur:
* Fiyat 200 MA'nın altında (düşüş trendi)
* RSI, SMA'sını aşağı keser
* RSI üst eşiğin üzerinde (varsayılan 50)
3. Özelleştirilebilir Parametreler:
- Kısa ve Uzun MA periyotları
- MA tipleri (SMA, EMA, VWMA)
- RSI uzunluğu ve RSI-SMA uzunluğu
- RSI sinyal seviyeleri
- Trend MA periyotları
Kullanım Önerileri:
- Trend ticareti için yüksek zaman dilimlerinde (1S ve üzeri) kullanılması önerilir
- İşlem almadan önce fiyatın trend bölgesine saygı göstermesini bekleyin
- Fiyat hareketi veya diğer indikatörlerden ek teyit alın
- RSI seviyelerini piyasa volatilitesine göre ayarlayın
Sınırlamalar:
- Tüm indikatörler gibi, dalgalı piyasalarda yanlış sinyaller üretebilir
- Tek başına karar verme aracı olarak kullanılmamalıdır
- Geçmiş performans, gelecekteki sonuçların garantisi değildir
EMA LavtiThis TradingView Pine Script indicator displays a smoothed Exponential Moving Average (EMA) line along with a single arrow to indicate the last confirmed crossing event. The indicator highlights either a "Buy" or "Sell" signal based on price action relative to the smoothed EMA.
How It Works:
The script tracks the index and direction (up or down) of the last crossover event.
When no new crossing event occurs, the script resets to avoid plotting multiple arrows.
The smoothed EMA line is plotted on the chart to give context for the crossover signals.
3%_Or_More_Price_Drop_Detector3%_Or_More_Price_Drop_Detector, this is used to check on any candles to see if the price has dropped by 3% to invest more, mostly used in index
Dema Percentile Standard DeviationDema Percentile Standard Deviation
The Dema Percentile Standard Deviation indicator is a robust tool designed to identify and follow trends in financial markets.
How it works?
This code is straightforward and simple:
The price is smoothed using a DEMA (Double Exponential Moving Average).
Percentiles are then calculated on that DEMA.
When the closing price is below the lower percentile, it signals a potential short.
When the closing price is above the upper percentile and the Standard Deviation of the lower percentile, it signals a potential long.
Settings
Dema/Percentile/SD/EMA Length's: Defines the period over which calculations are made.
Dema Source: The source of the price data used in calculations.
Percentiles: Selects the type of percentile used in calculations (options include 60/40, 60/45, 55/40, 55/45). In these settings, 60 and 55 determine percentile for long signals, while 45 and 40 determine percentile for short signals.
Features
Fully Customizable
Fully Customizable: Customize colors to display for long/short signals.
Display Options: Choose to show long/short signals as a background color, as a line on price action, or as trend momentum in a separate window.
EMA for Confluence: An EMA can be used for early entries/exits for added signal confirmation, but it may introduce noise—use with caution!
Built-in Alerts.
Indicator on Diffrent Assets
INDEX:BTCUSD 1D Chart (6 high 56 27 60/45 14)
CRYPTO:SOLUSD 1D Chart (24 open 31 20 60/40 14)
CRYPTO:RUNEUSD 1D Chart (10 close 56 14 60/40 14)
Remember no indicator would on all assets with default setting so FAFO with setting to get your desired signal.
