Enhanced Crypto Master Indicator v6//@version=5
indicator("Enhanced Crypto Master Indicator v6", overlay=true, max_labels_count=500)
// ———— 1. Trend Filter (EMA Cross + ADX Trend Strength) ————
emaFast = ta.ema(close, 50)
emaSlow = ta.ema(close, 200)
emaBullish = ta.crossover(emaFast, emaSlow)
emaBearish = ta.crossunder(emaFast, emaSlow)
// ADX Trend Strength (Fixed DMI Parameters)
adxLength = input(14, "ADX Length")
adxSmoothing = input(14, "ADX Smoothing") // Added missing parameter
= ta.dmi(adxLength, adxSmoothing) // Corrected DMI syntax
strongTrend = adx > 25
// ———— 2. Momentum Filter (RSI Hidden Divergence) ————
rsiLength = input(14, "RSI Length")
rsi = ta.rsi(close, rsiLength)
// Bullish Divergence: Price Lower Low + RSI Higher Low
priceLL = ta.lowest(low, 5) < ta.lowest(low, 5)
rsiHL = ta.lowest(rsi, 5) > ta.lowest(rsi, 5)
bullishDivergence = priceLL and rsiHL
// Bearish Divergence: Price Higher High + RSI Lower High
priceHH = ta.highest(high, 5) > ta.highest(high, 5)
rsiLH = ta.highest(rsi, 5) < ta.highest(rsi, 5)
bearishDivergence = priceHH and rsiLH
// ———— 3. Volume Surge (2x Average) ————
volumeAvg = ta.sma(volume, 20)
volumeSpike = volume > volumeAvg * 2
// ———— 4. Volatility Filter (Bollinger Squeeze) ————
bbLength = input(20, "BB Length")
bbMult = input(2.0, "BB Multiplier")
= ta.bb(close, bbLength, bbMult)
kcLength = input(20, "KC Length")
kcMult = input(1.5, "KC Multiplier")
kcUpper = ta.ema(close, kcLength) + ta.atr(kcLength) * kcMult
kcLower = ta.ema(close, kcLength) - ta.atr(kcLength) * kcMult
squeeze = bbUpper < kcUpper and bbLower > kcLower
// ———— 5. Time-Based Confirmation ————
bullishConfirmation = close > emaFast and close > emaFast
bearishConfirmation = close < emaFast and close < emaFast
// ———— Final Signals ————
buySignal = emaBullish and bullishDivergence and volumeSpike and squeeze and bullishConfirmation and strongTrend
sellSignal = emaBearish and bearishDivergence and volumeSpike and squeeze and bearishConfirmation and strongTrend
// ———— Plots ————
plotshape(buySignal, style=shape.triangleup, location=location.belowbar, color=color.new(color.green, 0), size=size.small)
plotshape(sellSignal, style=shape.triangledown, location=location.abovebar, color=color.new(color.red, 0), size=size.small)
plot(emaFast, color=color.blue)
plot(emaSlow, color=color.red)
النطاقات والقنوات
High-Probability Crypto Indicator1//@version=5
indicator("High-Probability Crypto Indicator", overlay=true)
// Inputs
emaFastLength = input(50, "Fast EMA Length")
emaSlowLength = input(200, "Slow EMA Length")
rsiLength = input(14, "RSI Length")
volumeSpikeMultiplier = input(2.0, "Volume Spike Multiplier")
// EMAs
emaFast = ta.ema(close, emaFastLength)
emaSlow = ta.ema(close, emaSlowLength)
// RSI
rsi = ta.rsi(close, rsiLength)
// Volume Analysis
volumeAvg = ta.sma(volume, 20)
volumeSpike = volume > volumeAvg * volumeSpikeMultiplier
// Bullish Conditions
emaBullish = ta.crossover(emaFast, emaSlow) // Fast EMA crosses above Slow EMA
rsiBullish = rsi > 50 and rsi < 70 // RSI in bullish zone but not overbought
bullishSignal = emaBullish and rsiBullish and volumeSpike
// Bearish Conditions
emaBearish = ta.crossunder(emaFast, emaSlow) // Fast EMA crosses below Slow EMA
rsiBearish = rsi < 50 and rsi > 30 // RSI in bearish zone but not oversold
bearishSignal = emaBearish and rsiBearish and volumeSpike
// Plot Signals
plotshape(bullishSignal, style=shape.triangleup, location=location.belowbar, color=color.green, size=size.small, title="Buy Signal")
plotshape(bearishSignal, style=shape.triangledown, location=location.abovebar, color=color.red, size=size.small, title="Sell Signal")
// Plot EMAs
plot(emaFast, color=color.blue, title="Fast EMA")
plot(emaSlow, color=color.red, title="Slow EMA")
Tight Consolidation With Contracting Volume1. Price is above EMA20 by 0-3%
2. EMA20 is above EMA50 by 1%-3%
3. Latest close is positive
4. Latest volume is lower than 20 day average by at least 30%
5. Show signal as an arrow below the candle
SMAs (14,21,50,100) by ShabiDefinition
This is the Simple moving average of 14, 21, 50, 100) . Simple Moving Average (SMA) is a price based, lagging (or reactive) indicator that displays the average price of a security over a set period of time. A Moving Average is a good way to gauge momentum as well as to confirm trends, and define areas of support and resistance. Essentially, Moving Averages smooth out the “noise” when trying to interpret charts. Noise is made up of fluctuations of both price and volume. Because a Moving Average is a lagging indicator and reacts to events that have already happened, it is not used as a predictive indicator but rather an interpretive one, used for confirmations and analysis.
Simple Moving Average is an unweighted Moving Average. This means that each day in the data set has equal importance and is weighted equally. As each new day ends, the oldest data point is dropped and the newest one is added to the beginning.
It must be taken into account that, while SMA helps filter out the noise and see the general direction in which the symbol has been moving, it is also slow to react to newer changes. The higher the SMA length is, the longer it will take for a major price change to be notably reflected in it.
CALCULATION
A Simple Moving Average with the length of X is a sum of last X values divided by X. Here is an example calculation of an SMA with the length of 3:
Sum of Period Values / Number of Periods
Closing Prices to be used: 5, 6, 7, 8, 9
First Day of 3 Period SMA: (5 + 6 + 7) / 3 = 6
Second Day of 3 Period SMA: (6 + 7 + 8) / 3 = 7
Third Day of 3 Period SMA: (7 + 8 + 9) /3 = 8
Keltner Channels with EMAsKeltner Channels with two Ema 13and 26
This is the mixture of Dr. Elders indicators combinations
Fair Value Gap (FVG)i have created a indicator to indicate the values of gap
you can modified this indicator as yous own choice
Combined Indicators (Fractals, EMAs, CCI, Volume, SMMA)Combined Indicators (Fractals, EMAs, CCI, Volume, SMMA)
Donchian Breakout IndicatorTo trade using the Donchian Breakout Indicator, you can follow a trend-following approach, where the goal is to catch strong price movements as they break out of a consolidation range. Here's a step-by-step guide on how you can trade with this indicator:
1. Identifying Breakouts
The Donchian Channels display the highest high and the lowest low over a certain period (20 periods by default). When price breaks above the upper channel, it signals a potential bullish breakout, and when it breaks below the lower channel, it signals a potential bearish breakout.
2. Bullish Breakout (Buying)
Entry Signal: Look for a bullish breakout when the price closes above the upper channel. This indicates that the price is moving higher, breaking out of a recent range.
Confirmation: The middle channel acts as an additional confirmation. If the price is above the middle channel (or multiplied by the confirmation factor), it further strengthens the buy signal.
Exit: You can exit the position either when the price falls back inside the channel or based on other indicators like stop losses, take profits, or another price action signal.
3. Bearish Breakout (Selling/Shorting)
Entry Signal: Look for a bearish breakout when the price closes below the lower channel. This indicates a potential downward move, where the price is breaking below a recent support level.
Confirmation: Similarly, if the price is below the middle channel (or multiplied by the confirmation factor), it provides more confidence in the short position.
Exit: Exit the short position when the price breaks back above the lower channel or based on other indicators/price action.
4. Stop Loss and Take Profit Suggestions
Stop Loss:
For long positions, set the stop loss below the upper channel breakout point, or use a percentage-based stop from your entry price.
For short positions, set the stop loss above the lower channel breakout point.
Take Profit: Consider using a risk-reward ratio (like 2:1 or 3:1). Alternatively, you could exit when price closes back inside the channel or use trailing stops for dynamic exits.
5. Trade Example:
Bullish Example (Long Trade)
Signal: The price closes above the upper Donchian channel, indicating a potential breakout.
Confirmation: The price is above the middle channel (optional for stronger confirmation).
Action: Enter a long position.
Stop Loss: Place a stop loss just below the upper channel or a set percentage under the breakout point.
Take Profit: Set a profit target based on a risk-reward ratio or exit when the price shows signs of reversing.
Bearish Example (Short Trade)
Signal: The price closes below the lower Donchian channel, signaling a potential bearish breakout.
Confirmation: The price is below the middle channel (optional for added confidence).
Action: Enter a short position.
Stop Loss: Place a stop loss just above the lower channel or a set percentage above the breakout point.
Take Profit: Set a profit target based on a risk-reward ratio or exit when the price shows signs of reversing.
Things to Keep in Mind:
False Breakouts: Occasionally, price might break out temporarily and then reverse, which is a false breakout. To minimize this risk, use volume confirmation, momentum indicators (like RSI), or wait for a couple of candlesticks to confirm the breakout before entering.
Market Conditions: This strategy works best in trending markets. In ranging or consolidating markets, breakouts might not always follow through, leading to false signals.
Risk Management: Always apply good risk management techniques, such as defining your position size, setting stop losses, and using a proper risk-reward ratio.
WaveTrend Ignacio indicador de compra y venta simple, para mediano a largo plazo, con sobre compra y sobre venta como factor de explicacion
Long/Short - Juju & JojôFuncionalidades:
Sinais de Compra ("Long"): Gerados quando o RSI suavizado cruza acima da banda dinâmica de suporte.
Sinais de Venda ("Short"): Gerados quando o RSI suavizado cruza abaixo da banda dinâmica de resistência.
Alertas Integrados: Notificações automáticas ao identificar sinais de compra ou venda.
Personalização: Parâmetros ajustáveis para o RSI, suavização, sensibilidade do QQE e limiar de volatilidade.
Quantitative Breakout Bands (AIBitcoinTrend)Quantitative Breakout Bands (AIBitcoinTrend) is an advanced indicator designed to adapt to dynamic market conditions by utilizing a Kalman filter for real-time data analysis and trend detection. This innovative tool empowers traders to identify price breakouts, evaluate trends, and refine their trading strategies with precision.
👽 What Are Quantitative Breakout Bands, and Why Are They Unique?
Quantitative Breakout Bands combine advanced filtering techniques (Kalman Filters) with statistical measures such as mean absolute error (MAE) to create adaptive price bands. These bands adjust to market conditions dynamically, providing insights into volatility, trend strength, and breakout opportunities.
What sets this indicator apart is its ability to incorporate both position (price) and velocity (rate of price change) into its calculations, making it highly responsive yet smooth. This dual consideration ensures traders get reliable signals without excessive lag or noise.
👽 The Math Behind the Indicator
👾 Kalman Filter Estimation:
At the core of the indicator is the Kalman Filter, a recursive algorithm used to predict the next state of a system based on past observations. It incorporates two primary elements:
State Prediction: The indicator predicts future price (position) and velocity based on previous values.
Error Covariance Adjustment: The process and measurement noise parameters refine the prediction's accuracy by balancing smoothness and responsiveness.
👾 Breakout Bands Calculation:
The breakout bands are derived from the mean absolute error (MAE) of price deviations relative to the filtered trendline:
float upperBand = kalmanPrice + bandMultiplier * mae
float lowerBand = kalmanPrice - bandMultiplier * mae
The multiplier allows traders to adjust the sensitivity of the bands to market volatility.
👾 Slope-Based Trend Detection:
A weighted slope calculation measures the gradient of the filtered price over a configurable window. This slope determines whether the market is trending bullish, bearish, or neutral.
👾 Trailing Stop Mechanism:
The trailing stop employs the Average True Range (ATR) to calculate dynamic stop levels. This ensures positions are protected during volatile moves while minimizing premature exits.
👽 How It Adapts to Price Movements
Dynamic Noise Calibration: By adjusting process and measurement noise inputs, the indicator balances smoothness (to reduce noise) with responsiveness (to adapt to sharp price changes).
Trend Responsiveness: The Kalman Filter ensures that trend changes are quickly identified, while the slope calculation adds confirmation.
Volatility Sensitivity: The MAE-based bands expand and contract in response to changes in market volatility, making them ideal for breakout detection.
👽 How Traders Can Use the Indicator
👾 Breakout Detection:
Bullish Breakouts: When the price moves above the upper band, it signals a potential upward breakout.
Bearish Breakouts: When the price moves below the lower band, it signals a potential downward breakout.
The trailing stop feature offers a dynamic way to lock in profits or minimize losses during trending moves.
👾 Trend Confirmation:
The color-coded Kalman line and slope provide visual cues:
Bullish Trend: Positive slope, green line.
Bearish Trend: Negative slope, red line.
👽 Why It’s Useful for Traders
Dynamic and Adaptive: The indicator adjusts to changing market conditions, ensuring relevance across timeframes and asset classes.
Noise Reduction: The Kalman Filter smooths price data, eliminating false signals caused by short-term noise.
Comprehensive Insights: By combining breakout detection, trend analysis, and risk management, it offers a holistic trading tool.
👽 Indicator Settings
Process Noise (Position & Velocity): Adjusts filter responsiveness to price changes.
Measurement Noise: Defines expected price noise for smoother trend detection.
Slope Window: Configures the lookback for slope calculation.
Lookback Period for MAE: Defines the sensitivity of the bands to volatility.
Band Multiplier: Controls the band width.
ATR Multiplier: Adjusts the sensitivity of the trailing stop.
Line Width: Customizes the appearance of the trailing stop line.
Disclaimer: This indicator is designed for educational purposes and does not constitute financial advice. Please consult a qualified financial advisor before making investment decisions.
Donchian Cloud-V1The Donchian Cloud-V1 is a technical analysis indicator inspired by the Ichimoku Cloud, but with a twist. It utilizes two Donchian Channel midline calculations to create a cloud-like price zone. This indicator aims to help traders identify potential areas of support and resistance, and also suggests that trades should be avoided when prices are within the cloud.
How it Works?
The Donchian Cloud-V1 calculates two Donchian Channel midlines:
Fast Donchian Channel: This midline is based on a shorter period, making it more responsive to price changes.
Slow Donchian Channel: This midline is based on a longer period, providing a smoother and more stable cloud formation.
The upper and lower bands of the traditional Donchian Channels are discarded, and the midlines become the cloud's upper and lower boundaries.
Interpretation
Price Above the Cloud: A price move above the cloud can be interpreted as a bullish signal, suggesting potential upward momentum.
Price Below the Cloud: A price move below the cloud can be interpreted as a bearish signal, suggesting potential downward momentum.
Price Within the Cloud: The indicator advises against taking any trades when the price is within the cloud itself, as the market may be unclear or ranging.
Benefits of Using the Donchian Cloud-V1
Visually Appealing: The cloud can provide a clear and concise view of potential support and resistance zones.
Customizable: The lengths of the fast and slow Donchian Channels can be adjusted to suit your trading style and preferred timeframe.
Complements Other Indicators: The Donchian Cloud-V1 can be used in conjunction with other technical indicators to strengthen trade signals.
Limitations to Consider
Lagging Indicator: Like many technical indicators, the Donchian Cloud-V1 is based on past price data and may not always perfectly predict future price movements.
False Signals: The cloud can generate false signals, especially in volatile markets.
Not a Standalone Strategy: The Donchian Cloud-V1 should ideally be used alongside other trading strategies and risk management techniques.
The Donchian Cloud-V1 is a valuable tool for traders who want to identify potential support and resistance zones and avoid making trades during periods of market uncertainty. Remember, it's important to backtest and paper trade any indicator before using it with real capital.
Bullish/Bearish Indicator [ilkaykaratepe]Bullish/Bearish Reversal Bars Indicator with Support/Resistance
Session Volume ProfileThe Session Volume Profile is a charting tool commonly used in technical analysis to visualize the distribution of trading volume at specific price levels during a particular time period, usually a single trading session. It provides insights into where the majority of the trading activity took place, allowing traders to identify key support and resistance levels, market sentiment, and high-value price areas.
HesoyamHesoyam is a multi-timeframe indicator that combines Bollinger Band analysis across up to six selectable timeframes with a short MACD-based “scalper” filter. The core idea is to detect potential oversold or overbought conditions (using Bollinger logic) while confirming momentum shifts via a fast MACD signal.
CALMONEY JIN SIMONSExplicação Detalhada:
Parâmetros de Entrada:
periodoCurta: Define o número de períodos para a média móvel curta (SMA de 9 períodos).
periodoLonga: Define o número de períodos para a média móvel longa (SMA de 21 períodos).
periodoRSI: Define o período para o cálculo do Índice de Força Relativa (RSI de 14 períodos).
periodoBollinger: Define o período para o cálculo das Bandas de Bollinger (geralmente 20 períodos).
desvioBollinger: Define o número de desvios padrão para as Bandas de Bollinger (geralmente 2.0).
Cálculo dos Indicadores:
mediaCurta: Média móvel simples (SMA) de 9 períodos.
mediaLonga: Média móvel simples (SMA) de 21 períodos.
rsiValor: Valor do Índice de Força Relativa (RSI) para 14 períodos.
basis: Média simples de 20 períodos para as Bandas de Bollinger.
dev: Desvio padrão multiplicado pelo valor de desvio para calcular a amplitude das Bandas de Bollinger.
bollingerSuperior: Banda superior das Bandas de Bollinger (média + desvio).
bollingerInferior: Banda inferior das Bandas de Bollinger (média - desvio).
Condições para Compra e Venda:
Compra: Quando a média curta está acima da média longa, o RSI está abaixo de 30 (indicando sobrevenda) e o preço está abaixo da banda inferior das Bandas de Bollinger.
Venda: Quando a média curta está abaixo da média longa, o RSI está acima de 70 (indicando sobrecompra) e o preço está acima da banda superior das Bandas de Bollinger.
Plotagem das Setas:
Seta Verde: Aparece abaixo da barra quando a condição de compra é atendida.
Seta Vermelha: Aparece acima da barra quando a condição de venda é atendida.
Como Utilizar:
Abrir TradingView:
Vá até o gráfico desejado no TradingView.
Adicionar o Código:
No Pine Editor, cole o código fornecido.
Clique em Salvar e em seguida em Adicionar ao gráfico.
Analisar Sinais:
O gráfico começará a mostrar as setas de compra (verde) e venda (vermelha) quando as condições forem atendidas.
Resumo:
Este indicador de sinais de compra e venda é baseado em médias móveis, RSI e Bandas de Bollinger para identificar momentos favoráveis de compra e venda. Ele fornece sinais visuais claros no gráfico, facilitando a tomada de decisões.
APE1 - Smart Money Concepts con EMAsEMAs and Smart money concepts of LuxAlgo. The best option for trading in all time frame all in one.
Hardik Raja - SmartAIMLSmartAIML indicator by Hardik Raja that generates buy & sell signals with a dual confirmation strategy.
Information for Educational Purposes Only:
All information provided by the indicator, including buy & sell signals, is intended for educational purposes only and does not constitute financial advice.
Jakes Main IndicatorKey Updates:
Support and Resistance Calculation:
We're using request.security() to fetch the previous day's low and previous day's high from the daily timeframe and plotting them as static support and resistance levels. These levels won't update on lower timeframes.
daily_support is the previous day's low, and daily_resistance is the previous day's high.
Plotting Static Lines:
We plot these static support and resistance levels using plot(), which will appear as green (support) and red (resistance) lines on the chart.
How It Works:
Support and resistance will be static, calculated only once on the daily timeframe, and then stay constant even as you zoom into lower timeframes.
The EMA cloud and buy/sell signals are based on your existing logic and work as intended, but now you have static support and resistance lines that won’t change over time.
The buy and sell signals will still depend on the EMA crossovers and volatility, but now you have a reliable frame of reference for support and resistance on your chart.
You can now adjust the support/resistance calculation method as needed, or tweak the visualization settings.
