Candlestick analysis
heaven rope Meta AI: Here's a brief description of a price action indicator that works similarly to the Super Moving Channel (SMC) indicator:
Indicator Name: Moving Average Cloud (MAC)
*Description:*
The Moving Average Cloud (MAC) is a price action indicator that combines multiple moving averages to create a "cloud" that surrounds the price action. This cloud acts as a dynamic support and resistance zone, helping traders identify trends, reversals, and potential trading opportunities.
*Key Components:*
1. *Multiple Moving Averages*: The MAC uses a combination of short-term and long-term moving averages to create the cloud.
2. *Cloud Formation*: The moving averages are plotted on the chart, creating a cloud-like formation that adapts to changing market conditions.
3. *Support and Resistance*: The cloud acts as a dynamic support and resistance zone, helping traders identify potential trading opportunities.
*Trading Strategies:*
1. *Trend Following*: Use the MAC to identify the trend direction and follow it.
2. *Mean Reversion*: Look for price action to revert to the mean (the cloud) after a significant move.
3. *Breakout Trading*: Trade breakouts from the cloud, using the cloud as a reference point for support and resistance.
The Moving Average Cloud (MAC) indicator provides a unique perspective on price action, helping traders make more informed decisions.
Meta AI: Here's a brief description of a price action indicator that works similarly to the Super Moving Channel (SMC) indicator:
Indicator Name: Moving Average Cloud (MAC)
*Description:*
The Moving Average Cloud (MAC) is a price action indicator that combines multiple moving averages to create a "cloud" that surrounds the price action. This cloud acts as a dynamic support and resistance zone, helping traders identify trends, reversals, and potential trading opportunities.
*Key Components:*
1. *Multiple Moving Averages*: The MAC uses a combination of short-term and long-term moving averages to create the cloud.
2. *Cloud Formation*: The moving averages are plotted on the chart, creating a cloud-like formation that adapts to changing market conditions.
3. *Support and Resistance*: The cloud acts as a dynamic support and resistance zone, helping traders identify potential trading opportunities.
*Trading Strategies:*
1. *Trend Following*: Use the MAC to identify the trend direction and follow it.
2. *Mean Reversion*: Look for price action to revert to the mean (the cloud) after a significant move.
3. **Breakout Trading
heaven rope Meta AI: Here's a brief description of a price action indicator that works similarly to the Super Moving Channel (SMC) indicator:
Indicator Name: Moving Average Cloud (MAC)
*Description:*
The Moving Average Cloud (MAC) is a price action indicator that combines multiple moving averages to create a "cloud" that surrounds the price action. This cloud acts as a dynamic support and resistance zone, helping traders identify trends, reversals, and potential trading opportunities.
*Key Components:*
1. *Multiple Moving Averages*: The MAC uses a combination of short-term and long-term moving averages to create the cloud.
2. *Cloud Formation*: The moving averages are plotted on the chart, creating a cloud-like formation that adapts to changing market conditions.
3. *Support and Resistance*: The cloud acts as a dynamic support and resistance zone, helping traders identify potential trading opportunities.
*Trading Strategies:*
1. *Trend Following*: Use the MAC to identify the trend direction and follow it.
2. *Mean Reversion*: Look for price action to revert to the mean (the cloud) after a significant move.
3. *Breakout Trading*: Trade breakouts from the cloud, using the cloud as a reference point for support and resistance.
The Moving Average Cloud (MAC) indicator provides a unique perspective on price action, helping traders make more informed decisions.
Meta AI: Here's a brief description of a price action indicator that works similarly to the Super Moving Channel (SMC) indicator:
Indicator Name: Moving Average Cloud (MAC)
*Description:*
The Moving Average Cloud (MAC) is a price action indicator that combines multiple moving averages to create a "cloud" that surrounds the price action. This cloud acts as a dynamic support and resistance zone, helping traders identify trends, reversals, and potential trading opportunities.
*Key Components:*
1. *Multiple Moving Averages*: The MAC uses a combination of short-term and long-term moving averages to create the cloud.
2. *Cloud Formation*: The moving averages are plotted on the chart, creating a cloud-like formation that adapts to changing market conditions.
3. *Support and Resistance*: The cloud acts as a dynamic support and resistance zone, helping traders identify potential trading opportunities.
*Trading Strategies:*
1. *Trend Following*: Use the MAC to identify the trend direction and follow it.
2. *Mean Reversion*: Look for price action to revert to the mean (the cloud) after a significant move.
3. **Breakout Trading
Maverick Henderson Strategy
Maverick Henderson Strategy
A comprehensive technical analysis indicator that combines several powerful tools:
1. Volume Profile with POC (Point of Control)
- Displays volume distribution across price levels
- Shows value areas and POC line
- Helps identify key support/resistance levels
2. Multiple EMAs (10, 50, 100, 200)
- Trend identification and dynamic support/resistance
- Price action confirmation
- Works best with Heikin Ashi candles
3. Swing Detection & Counting System
- Identifies and counts higher highs/lower lows
- Dynamic trend strength measurement
- Automatically resets on EMA200 crossovers
4. RSI Divergence Detection
- Regular bullish/bearish divergences
- Hidden bullish/bearish divergences
- Filtered by EMA200 position
5. Multi-Timeframe Squeeze Momentum
- Analyzes momentum across 1H, 2H, 3H, and 4H timeframes
- Shows momentum convergence/divergence
- Visual color-coded momentum representation
Usage Tips:
- Best performance with Heikin Ashi candles
- Use EMA crossovers for trend confirmation
- Watch for momentum convergence signals
- Monitor RSI divergences for potential reversals
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If you find this indicator helpful, you can support my work:
USDT (BNB Smart Chain - BEP20): 0x0e7fcdcc8939791b48e73882b32df1cddaafa88c
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Estrategia Maverick Henderson
Un indicador de análisis técnico completo que combina varias herramientas poderosas:
1. Perfil de Volumen con POC
- Muestra la distribución del volumen por niveles de precio
- Visualiza áreas de valor y línea POC
- Ayuda a identificar niveles clave de soporte/resistencia
2. Múltiples EMAs (10, 50, 100, 200)
- Identificación de tendencias y soporte/resistencia dinámica
- Confirmación de acción del precio
- Funciona mejor con velas Heikin Ashi
3. Sistema de Detección y Conteo de Swings
- Identifica y cuenta máximos más altos/mínimos más bajos
- Medición dinámica de la fuerza de la tendencia
- Se reinicia automáticamente en cruces de EMA200
4. Detección de Divergencias RSI
- Divergencias regulares alcistas/bajistas
- Divergencias ocultas alcistas/bajistas
- Filtradas por posición respecto a EMA200
5. Momentum Multi-Temporal
- Analiza momentum en marcos de 1H, 2H, 3H y 4H
- Muestra convergencia/divergencia de momentum
- Representación visual codificada por colores
Consejos de Uso:
- Mejor rendimiento con velas Heikin Ashi
- Usar cruces de EMA para confirmación de tendencia
- Observar señales de convergencia de momentum
- Monitorear divergencias RSI para posibles reversiones
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Si encuentras útil este script y deseas apoyar mi trabajo:
USDT (BNB Smart Chain - BEP20): 0x0e7fcdcc8939791b48e73882b32df1cddaafa88c
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Large Body Candle IndicatorFunctionality
Comparison: The indicator compares the body size of the current candle to the maximum body size of the previous 5 candles.
Bullish Candles: When a bullish candle (close > open) has a larger body than the previous 5 candles:
A green triangle is plotted below the candle
The candle is colored green
Bearish Candles: When a bearish candle (close < open) has a larger body than the previous 5
candles:
A red triangle is plotted above the candle
The candle is colored red
Key Components
Lookback Period: Default set to 5 candles, but can be adjusted by the user.
Body Size Calculation: Calculated as the absolute difference between the open and close prices.
Maximum Previous Body Size: Determined by comparing the body sizes of the previous 5 candles.
Candle Classification: Candles are classified as bullish or bearish based on the relationship between open and close prices.
Visual Indicators:
Shape plotting for triangles
Bar coloring for highlighted candles
User Customization
Users can adjust the lookback period through the indicator settings, allowing for flexibility in identifying significant candles based on recent price action.
Use Cases
Identifying potential breakout candles
Spotting significant price movements
Enhancing visual analysis of price action
Supporting decision-making in trading strategies
Limitations
The indicator does not predict future price movements
It's based solely on recent price action and doesn't consider other technical or fundamental factors
Conclusion
The Large Body Candle Indicator provides a simple yet effective way to visually identify candles that show significant price movement relative to recent price action. It can be a valuable tool when used in conjunction with other technical analysis methods.
ZelosKapital Round NumberThe ZelosKapital Round Number Indicator is a tool designed for traders to easily visualize significant round numbers on their charts. Round numbers, such as 1.20000 or 1.21000 in currency pairs, often act as psychological levels in the market where price action tends to react. This indicator automatically marks these levels across the chart, providing a clear reference for potential support and resistance zones. It is customizable, allowing traders to adjust the visual appearance, such as line style, color, and thickness. By highlighting these key levels, the indicator helps traders make more informed decisions and enhances their overall trading analysis.
Quarter Point Theory with Trend Breaks### **Quarter Point Theory with Trend Breaks Indicator**
The **Quarter Point Theory with Trend Breaks** indicator is a technical analysis tool designed to identify key price levels and trend reversals in financial markets. It combines the principles of **Quarter Point Theory**—a concept that highlights the significance of prices at rounded fractional levels of an asset—with trend break detection to provide actionable trading insights.
#### **Key Features:**
1. **Quarter Point Levels:**
- Automatically plots quarter-point levels on the chart (e.g., 0.25, 0.50, 0.75, and 1.00 levels relative to significant price ranges).
- Highlights these levels as areas of psychological importance, where price action is likely to consolidate, reverse, or gain momentum.
2. **Trend Break Detection:**
- Identifies changes in market direction by detecting breaks in prevailing trends.
- Utilizes moving averages, support/resistance lines, or price patterns to signal potential reversals.
3. **Dynamic Visual Cues:**
- Color-coded lines or zones to differentiate between support (green), resistance (red), and neutral zones.
- Alerts or markers when price approaches or breaks through quarter-point levels or trend lines.
4. **Multi-Timeframe Analysis:**
- Offers the ability to analyze quarter-point levels and trend breaks across different timeframes for a comprehensive market view.
5. **Customizable Parameters:**
- Allows traders to adjust the sensitivity of trend break detection and the precision of quarter-point level plotting based on their strategy and asset volatility.
#### **Use Cases:**
- **Swing Trading:** Identify optimal entry and exit points by combining quarter-point levels with trend reversal signals.
- **Day Trading:** Utilize intraday quarter-point levels and quick trend changes for scalping opportunities.
- **Long-Term Investing:** Spot significant price milestones that could indicate major turning points in an asset’s trajectory.
#### **Advantages:**
- Simplifies the complexity of market analysis by focusing on universally significant price levels and trends.
- Enhances decision-making by integrating two powerful market principles into a single indicator.
- Provides a structured framework for risk management by identifying areas where price is likely to react.
The **Quarter Point Theory with Trend Breaks Indicator** is a versatile tool suitable for traders and investors across various markets, including stocks, forex, commodities, and cryptocurrencies. By blending psychology-based levels with technical trend analysis, it empowers users to make well-informed trading decisions.
Key Level Buy/Sell Indicatorindicator that signals candles for the highest price when the candles have been over-brought to get in for a sell and signal the candles for the lowest price when the market has been over-sold to get in a trade for a buy at key levels of the market giving accurate results.
sell & buy indicator for BEHRAD//@version=5
indicator("اندیکاتور خرید و فروش", overlay=true)
// تنظیمات
rsiPeriod = input(14, title="دوره RSI")
rsiOverbought = input(70, title="اشباع خرید (Overbought)")
rsiOversold = input(30, title="اشباع فروش (Oversold)")
shortMA = input(9, title="میانگین متحرک کوتاهمدت")
longMA = input(21, title="میانگین متحرک بلندمدت")
// محاسبات
rsi = ta.rsi(close, rsiPeriod)
shortMAValue = ta.sma(close, shortMA)
longMAValue = ta.sma(close, longMA)
// سیگنالها
buySignal = rsi < rsiOversold and shortMAValue > longMAValue
sellSignal = rsi > rsiOverbought and shortMAValue < longMAValue
// ترسیم نقاط خرید و فروش
plotshape(buySignal, title="خرید", location=location.belowbar, color=color.green, style=shape.labelup, text="Buy")
plotshape(sellSignal, title="فروش", location=location.abovebar, color=color.red, style=shape.labeldown, text="Sell")
// میانگینها
plot(shortMAValue, color=color.blue, title="میانگین کوتاهمدت")
plot(longMAValue, color=color.orange, title="میانگین بلندمدت")
Daily Range Breakout StrategyThis strategy is designed to detect session highs and lows during a specified time window and place trades based on breakout conditions. It integrates robust range detection logic inspired by the DR/IDR methodology, ensuring accurate high/low calculations for each session.
Key Features:
Session-Based High/Low Detection.
Trade Placement After Session Ends.
Stop Loss and Take Profit Levels.
Date-Based Backtesting.
Visualization.
Debugging Logs.
The Most Beautiful Buy/Sell Indicator with SMAScript Summary:
This indicator is designed to assist in identifying potential buy and sell opportunities based on the interaction of RSI values (both long-term and short-term) and price movement, with the help of an SMA filter. The Buy and Sell signals are visually represented by colored text labels on the chart, and alert conditions are available for automation.
Multi Indicator SummaryPurpose: It calculates and displays bullish and bearish order blocks, key levels derived from recent price movements, which traders use to identify potential support and resistance areas.
Inputs: Users can customize the order block length, defining the range of price data used for calculations.
Logic: The script uses ta.lowest and ta.highest functions to compute order blocks based on specified periods for bullish and bearish trends.
Additional Levels: It identifies extra order blocks (bullish_below and bearish_above) to provide more context for deeper support or higher resistance.
Price Table: A visual table is created on the chart, showing the current price, bullish and bearish order blocks, and additional bearish levels above the current price.
Alerts: Alerts are triggered when the price crosses key order block levels, helping traders react to significant price movements.
Flexibility: The table dynamically updates based on the chart’s ticker and timeframe, ensuring it always reflects the latest data.
Bearish Above Price: Highlights the most recent bearish order block above the current price to inform traders about potential resistance areas.
Visualization: The clear table format aids quick decision-making by summarizing key levels in an accessible way.
Usability: This script is especially useful for intraday and swing traders seeking to integrate order block analysis into their strategies.
Alternating RSI Buy/Sell with Volume FilterBuy signals will appear with smaller labels below the candles.
Sell signals will appear with smaller labels above the candles.
Alternating RSI Buy/Sell with Volume FilterBuy Signal:
Condition:
RSI(25) increases from 30 → 35.
Price remains stable.
RSI(100) > 50.
Volume increases.
Custom Strategy TO Spread strategy//@version=5
indicator("Custom Strategy", shorttitle="CustomStrat", overlay=true)
// Configuração das SMAs
smaShort = ta.sma(close, 8)
smaLong = ta.sma(close, 21)
// Configuração da Supertrend
atrPeriod = 10
atrFactor = 2
= ta.supertrend(atrFactor, atrPeriod)
// Cálculo do spread
spread = high - low
spreadThreshold = 0.20 * close // 20% do preço atual
// Condições de entrada
crossOver = ta.crossover(smaShort, smaLong)
crossUnder = ta.crossunder(smaShort, smaLong)
superTrendCross = (close > superTrend) and (close < superTrend )
superTrendConfirm = ta.barssince(superTrendCross) <= 6
// Volume
volumeConfirmation = (volume > volume ) and (volume > volume )
volumeAverage = ta.sma(volume, 15) > ta.sma(volume , 15)
// Condição final
entryCondition = (crossOver or crossUnder) and superTrendConfirm and (spread > spreadThreshold) and volumeConfirmation and volumeAverage
// Alertas
if (entryCondition)
alert("Condição de entrada atendida!", alert.freq_once_per_bar_close)
Combined RSI Strategy with ButtonsBuy Signal:
Stock Price = 100.
RSI(25) = 30 → 35 (increasing).
RSI(100) = 60 (uptrend).
A BUY label and trailing line are plotted.
Sell Signal:
Stock Price = 100.
RSI(25) = 30 → 25 (decreasing).
RSI(100) = 40 (downtrend).
A SELL label and trailing line are plotte
Combined RSI Indicator with VolumeRSI of 100 and 25: Both are calculated, but the primary logic focuses on RSI(25).
Conditions:
RSI(25) is increasing.
Price is stable (within a small difference from the previous close).
Price is above the user-defined threshold (e.g., 150 in your example).
Volume is higher than its recent average.
RSI Combo with VolumeInputs: We have customizable inputs for RSI lengths (100 and 25), volume length (for average calculation), and a threshold for the difference in RSI 25.
RSI Calculations: The script calculates the two RSIs.
Buy Condition:
It checks if RSI 25 is higher than the previous value by a specified threshold.
It checks if the current candle's close is near the previous candle's close.
It verifies that the current volume is higher than the average over the last 20 candles (can be adjusted).
Buy Signal Plot: If all conditions are true, a green "BUY" label is plotted below the bar.
You can adjust the parameters (RSI lengths, volume length, etc.) based on your strategy and
Volatility Crypto Trading Strategy//@version=5
indicator("Volatility Crypto Trading Strategy", overlay=true)
// Input parameters for Bollinger Bands and MACD
bb_length = input.int(20, title="Bollinger Band Length")
bb_std_dev = input.float(2.0, title="Bollinger Band Standard Deviation")
macd_fast = input.int(12, title="MACD Fast Length")
macd_slow = input.int(26, title="MACD Slow Length")
macd_signal = input.int(9, title="MACD Signal Length")
// Input for higher timeframe
htf = input.timeframe("30", title="Higher Timeframe")
// Bollinger Bands calculation
bb_basis = ta.sma(close, bb_length)
bb_upper = bb_basis + bb_std_dev * ta.stdev(close, bb_length)
bb_lower = bb_basis - bb_std_dev * ta.stdev(close, bb_length)
// MACD calculation
= ta.macd(close, macd_fast, macd_slow, macd_signal)
// Higher timeframe trend confirmation
htf_close = request.security(syminfo.tickerid, htf, close)
htf_trend = ta.sma(htf_close, bb_length)
higher_trend_up = htf_close > htf_trend
higher_trend_down = htf_close < htf_trend
// Entry conditions
long_condition = close < bb_lower and macd_line > signal_line and higher_trend_up
short_condition = close > bb_upper and macd_line < signal_line and higher_trend_down
// Exit conditions
long_exit_condition = close >= bb_basis * 1.1
short_exit_condition = close <= bb_basis * 0.9
// Plot Bollinger Bands
plot(bb_upper, color=color.red, title="Upper Bollinger Band")
plot(bb_lower, color=color.green, title="Lower Bollinger Band")
plot(bb_basis, color=color.blue, title="Bollinger Band Basis")
// Plot Buy/Sell signals
plotshape(series=long_condition, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY")
plotshape(series=short_condition, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL")
// Alerts
alertcondition(long_condition, title="Long Entry", message="Buy Signal")
alertcondition(short_condition, title="Short Entry", message="Sell Signal")
alertcondition(long_exit_condition, title="Long Exit", message="Exit Long")
alertcondition(short_exit_condition, title="Short Exit", message="Exit Short")
Enhanced RSI Buy & Sell StrategySI (14): The standard RSI (length 14) is calculated for this strategy.
Buy Condition: This is triggered when RSI is below the oversold level (30) and starts increasing, while the price is near the SMA and volume is high.
Sell Condition: This is triggered when RSI is above the overbought level (70) and starts decreasing, while the price is near the SMA and volume is high.
Exit Condition: The strategy will consider exiting when the RSI moves into the overbought zone after a buy signal.
Volume Confirmation: A volume multiplier is used to confirm the strength of the signal.
SMA Plot: The Simple Moving Average (SMA) is plotted to help identify the trend.
RSI Plot: The RSI is plotted alongside the buy and sell levels for easy visualization.
RSI + Chandelier Exit StrategyChandelier Exit Long is plotted in green (above price).
Chandelier Exit Short is plotted in red (below price).
Buy signal occurs only if the price is above the Chandelier Exit Long line.
Sell signal occurs only if the price is below the Chandelier Exit Short line.
Custom RSI Buy and Sell StrategyPaste the code into your Pine Script editor on TradingView.
Adjust inputs such as the RSI lengths, price reference, and volume multiplier to match your trading strategy.
Observe how the buy/sell signals are triggered based on the RSI conditions, volume, and price
Enhanced RSI Buy & Sell StrategyCondition Grouping: The conditions are grouped inside parentheses for both the buy_condition and sell_condition. This is crucial for ensuring that multiple logical conditions are evaluated together.
No Line Continuation: The conditions are on a single line to avoid the error regarding "end of line without line continuation".
No extra or missing characters: The script has been checked for extra commas or missed logical operators that could cause syntax issues.