Next Trend ChannelThis indicator shows you the overall market trend across various time frames, allowing you to identify the future trend direction. The uptrend is displayed in green, and before it begins, a green dot appears below the starting candle to signal the trend’s initiation. The downtrend is shown in red, with an orange dot appearing just before the downtrend starts, informing you of the continuation. A gray trend signifies a ranging market, and it’s recommended not to trade in this zone. Please backtest before using.
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Dynamic Average and Outliers (Excludes Last 20 Candles)a technical analysis tool used in financial markets to identify potential price breakouts, which occur when an asset's price moves beyond a defined support or resistance level with significant momentum. These indicators help traders anticipate when a stock, currency pair, or commodity is likely to enter a new trend, either bullish or bearish.
Georg'ae stratergy MACD & VWAP (HLC3) Buy/Sell SignalsHere’s a TradingView Pine Script code that combines MACD (9, 21) and VWAP (9, 21) to generate buy and sell signals with green and red arrows, respectively.
GainAlgo: Complex Trading Strategyere’s a description of the existing trading algorithm, which is based on multiple technical indicators used to generate trading signals:
1. Moving Averages (SMA)
Short period: Set to 50 days (adjustable).
Long period: Set to 200 days (adjustable).
Strategy:
A buy signal occurs when the short-term moving average (50 days) crosses above the long-term moving average (200 days) (crossover).
A sell signal occurs when the short-term moving average crosses below the long-term moving average (200 days) (crossunder).
2. RSI (Relative Strength Index)
RSI Period: Set to 14 days.
Conditions:
A buy signal occurs when the RSI drops below 30, indicating that the market is oversold.
A sell signal occurs when the RSI rises above 70, indicating that the market is overbought.
Visual display: The levels 30 and 70 are shown as oversold and overbought zones on the chart.
3. MACD (Moving Average Convergence Divergence)
MACD Period:
Short period: 12 days.
Long period: 26 days.
Signal line: 9 days.
Conditions:
A buy signal occurs when the MACD line is above the signal line, indicating a bullish trend.
A sell signal occurs when the MACD line is below the signal line, indicating a bearish trend.
Visual display: The chart shows the MACD histogram, MACD line, and signal line.
4. Bollinger Bands
Period: Set to 20 days.
Standard Deviation: Set to 2.0.
Conditions:
The upper and lower bands of the Bollinger Bands indicate the price range in which the market is expected to move.
A price reaching the upper band might indicate overbought conditions, while reaching the lower band might indicate oversold conditions.
Visual display: The chart shows the upper and lower Bollinger Bands.
5. MFI (Money Flow Index)
Period: Set to 14 days.
Conditions:
A buy signal occurs when MFI falls below 20, indicating that the market is oversold (low money flow).
A sell signal occurs when MFI rises above 80, indicating that the market is overbought (high money flow).
Visual display: The levels 80 (overbought) and 20 (oversold) are displayed as reference lines on the chart.
6. Strategy for Entry and Exit
Entry into long position (Buy):
Conditions for a buy signal include:
The short-term moving average crosses above the long-term moving average (crossover).
RSI is below 30 (oversold).
MACD histogram is positive (MACD line is above the signal line).
MFI is below 20 (oversold).
Exit from long position (Sell):
Conditions for a sell signal include:
The short-term moving average crosses below the long-term moving average (crossunder).
RSI is above 70 (overbought).
MACD histogram is negative (MACD line is below the signal line).
MFI is above 80 (overbought).
Visual Display:
The chart displays all of the following indicators:
Moving Averages (SMA) with buy and sell signals.
RSI with oversold (30) and overbought (70) levels.
MACD with the MACD histogram, MACD line, and signal line.
Bollinger Bands showing the price range and overbought/oversold zones.
MFI with the overbought (80) and oversold (20) levels.
Conclusion:
The algorithm uses several technical indicators to generate trading signals. It combines:
SMA crossovers to identify trends.
RSI to determine overbought and oversold conditions.
MACD to confirm trend direction.
Bollinger Bands to assess market volatility and overbought/oversold levels.
MFI to analyze money flow and identify overbought/oversold conditions.
This strategy allows traders to make informed decisions based on multiple indicators, reducing reliance on a single signal and providing more reliable trading opportunities.
Market ForcesMarket Forces / Indikator
Systembeschreibung
Ein Multi-Timeframe Indikator, der Volatilitätsbänder, Marktstruktur und Kraftmessungen kombiniert, um Marktphasen, potenzielle Trendwenden und Handelsmöglichkeiten zu identifizieren.
Hauptkomponenten
Adaptive Volatilitätsbänder
- 6 dynamische Bänder (3 über und 3 unter dem Basis-Band)
- Violette Zonen zeigen Expansion/Kompression
- Volumengewichteter oder einfacher gleitender Durchschnitt als Basis
- Selbstanpassend basierend auf Marktbedingungen
Marktstruktur (Zeitalter-Linien)
- Aggressionslinie (Weiß, 7 EMA): Kurzfristige Preisbewegung
- Handelslinie (Orange, 14 EMA): Primärer Handelszeitraum
- Biaslinie (Grün, 50 EMA): Mittelfristiger Trend
Kraftmessungs-Panel
- RSI (Orange): Standard 14-Perioden Momentum
- Position in Bändern (Weiß): Relative Preisposition innerhalb der Bänder
- Referenzlinien bei 20/50/80 für überkauft/überverkauft
Handelsanwendung
Erkennung von Marktphasen
- Expansion: Breite Bandabstände, starke Richtungsbewegung
- Kompression: Enge Bandabstände, Konsolidierungsphase
- Übergang: Band-Kreuzungen und Zeitalter-Linien-Ausrichtung
Zeitrahmen-Empfehlungen
- Primär: Täglich (1D)
- Sekundär: 4H für Entries
- Höher: Wöchentlich für Trend
Basis-Einstellungen
Indikator-Parameter:
- Band-Multiplikator: 2.0
- Band-Länge: 20
- Aggressionsalter: 7
- Handelsalter: 14
- Biasalter: 50
samet pi cycle Samet Bey'in btchhaber com da çıkan makalesinden ilham alarak yazdım. İlgili makalede şöyle yazmış:
"Bunun için Pi Cycle tepe indikatörü veya MVRV gibi fiyata ve Bitcoin onchain hareketlerine bağlı olarak çalışan veriler var. Pi Cycle tepe indikatörü Bitcoin’in 111 günlük ortalamasının 350 günlük ortalamasının 2 katına oranını veriyor (BTC 111D MA / BTC 350D MA * 2). Bu değer 1’e ulaştığı gün marketin tepe yaptığı gün olarak düşünülüyor.
Bu indikatör 2019 yılında geliştirilmiş ve 2021 tepesini günü gününe tespit etmiş. Ancak 2025 yılında bir tepe gelecekse dikkatli olmak gerek. Çünkü Pi Cycle tepe indikatörü 2017 yılında 1,07 değerine ulaşırken 2021 yılında tam 1 değerine ulaşmış. Dolayısıyla belki de 2025 yılında hiç 1 seviyesine ulaşamayacak (şu anda 0,53 civarında). Bu nedenle dikkatli olmakta fayda var."
Nasan Hull-smoothed envelope The Nasan Hull-Smoothed Envelope indicator is a sophisticated overlay designed to track price movement within an adaptive "envelope." It dynamically adjusts to market volatility and trend strength, using a series of smoothing and volatility-correction techniques. Here's a detailed breakdown of its components, from the input settings to the calculated visual elements:
Inputs
look_back_length (500):
Defines the lookback period for calculating intraday volatility (IDV), smoothing it over time. A higher value means the indicator considers a longer historical range for volatility calculations.
sl (50):
Sets the smoothing length for the Hull Moving Average (HMA). The HMA smooths various lines, creating a balance between sensitivity and stability in trend signals.
mp (1.5):
Multiplier for IDV, scaling the volatility impact on the envelope. A higher multiplier widens the envelope to accommodate higher volatility, while a lower one tightens it.
p (0.625):
Weight factor that determines the balance between extremes (highest high and lowest low) and averages (sma of high and sma of low) in the high/low calculations. A higher p gives more weight to extremes, making the envelope more responsive to abrupt market changes.
Volatility Calculation (IDV)
The Intraday Volatility (IDV) metric represents the average volatility per bar as an exponentially smoothed ratio of the high-low range to the close price. This is calculated over the look_back_length period, providing a base volatility value which is then scaled by mp. The IDV enables the envelope to dynamically widen or narrow with market volatility, making it sensitive to current market conditions.
Composite High and Low Bands
The high and low bands define the upper and lower bounds of the envelope.
High Calculation
a_high:
Uses a multi-period approach to capture the highest highs over several intervals (5, 8, 13, 21, and 34 bars). Averaging these highs provides a more stable reference for the high end of the envelope, capturing both immediate and recent peak values.
b_high:
Computes the average of shorter simple moving averages (5, 8, and 13 bars) of the high prices, smoothing out fluctuations in the recent highs. This generates a balanced view of high price trends.
high_c:
Combines a_high and b_high using the weight p. This blend creates a composite high that balances between recent peaks and smoothed averages, making the upper envelope boundary adaptive to short-term price shifts.
Low Calculation
a_low and b_low:
Similar to the high calculation, these capture extreme lows and smooth low values over the same intervals. This approach creates a stable and adaptive lower bound for the envelope.
low_c:
Combines a_low and b_low using the weight p, resulting in a composite low that adjusts to price fluctuations while maintaining a stable trend line.
Volatility-Adjusted Bands
The final composite high (c_high) and composite low (c_low) bands are adjusted using IDV, which accounts for intraday volatility. When volatility is high, the bands expand; when it’s low, they contract, providing a visual representation of volatility-adjusted price bounds.
Basis Line
The basis line is a Hull Moving Average (HMA) of the average of c_high and c_low. The HMA is known for its smoothness and responsiveness, making the basis line a central trend indicator. The color of the basis line changes:
Green when the basis line is increasing.
Red when the basis line is decreasing.
This color-coded basis line serves as a quick visual reference for trend direction.
Short-Term Trend Strength Block
This component analyzes recent price action to assess short-term bullish and bearish momentum.
Conditions (green, red, green1, red1):
These are binary conditions that categorize price movements as bullish or bearish based on the close compared to the open and the close’s relationship with the exponential moving average (EMA). This separation helps capture different types of strength (above/below EMA) and different bullish or bearish patterns.
Composite Trend Strength Values:
Each of the bullish and bearish counts (above and below the EMA) is normalized, resulting in the following values:
green_EMAup_a and red_EMAup_a for bullish and bearish strength above the EMA.
green_EMAdown_a and red_EMAdown_a for bullish and bearish strength below the EMA.
Trend Strength (t_s):
This calculated metric combines the normalized trend strengths with extra weight to conditions above the EMA, giving more relevance to trends that have momentum behind them.
Enhanced Trend Strength
avg_movement:
Calculates the average absolute price movement over the short_term_length, providing a measurement of recent price activity that scales with volatility.
enhanced_t_s:
Multiplies t_s by avg_movement, creating an enhanced trend strength value that reflects both directional strength and the magnitude of recent price movement.
min and max:
Minimum and maximum percentile thresholds, respectively, based on enhanced_t_s for controlling the color gradient in the fill area.
Fill Area
The fill area between plot_c_high and plot_c_low is color-coded based on the enhanced trend strength (enhanced_t_s):
Gradient color transitions from blue to green based on the strength level, with blue representing weaker trends and green indicating stronger trends.
This visual fill provides an at-a-glance assessment of trend strength across the envelope, with color shifts highlighting momentum shifts.
Summary
The indicator’s purpose is to offer an adaptive price envelope that reflects real-time market volatility and trend strength. Here’s what each component contributes:
Basis Line: A trend-following line in the center that adjusts color based on trend direction.
Envelope (c_high, c_low): Adapts to volatility by expanding and contracting based on IDV, giving traders a responsive view of expected price bounds.
Fill Area: A color-gradient region representing trend strength within the envelope, helping traders easily identify momentum changes.
Overall, this tool helps to identify trend direction, market volatility, and strength of price movements, allowing for more informed decisions based on visual cues around price boundaries and trend momentum.
Forex Strategy with Fibonacci, Stop-Loss, and Signalsuse this make dollar with accurcy 70+ in only 5 minitue time frame
SMA, EMA, RSI & Bollinger BandsCe script Pine pour TradingView combine trois indicateurs populaires pour l'analyse du marché du Bitcoin :
1. **Moyennes Mobiles (SMA/EMA)** : SMA 200 pour la tendance long-terme et EMA 50 pour suivre les mouvements à moyen-terme.
2. **RSI (Relative Strength Index)** : Utilisé pour détecter les conditions de surachat et de survente du marché, avec des niveaux clés à 70 (surachat) et 30 (survente).
3. **Bandes de Bollinger** : Mesurent la volatilité du marché, en identifiant les moments où le prix est dans des conditions extrêmes.
Ces indicateurs aident à évaluer la tendance, le momentum et la volatilité, offrant une vue d'ensemble pour prendre des décisions éclairées.*/
stoic indicatorAnother indicator and this is best for you
We can make money with this incredible indicator so lets do this
KTK//@version=5
indicator('AlphaTrend', shorttitle='KTT', overlay=true, format=format.price, precision=2, timeframe='')
coeff = input.float(1, 'Multiplier', step=0.1)
AP = input(14, 'Common Period')
ATR = ta.sma(ta.tr, AP)
src = input(close)
showsignalsk = input(title='Show Signals?', defval=true)
novolumedata = input(title='Change calculation (no volume data)?', defval=false)
upT = low - ATR * coeff
downT = high + ATR * coeff
AlphaTrend = 0.0
AlphaTrend := (novolumedata ? ta.rsi(src, AP) >= 50 : ta.mfi(hlc3, AP) >= 50) ? upT < nz(AlphaTrend ) ? nz(AlphaTrend ) : upT : downT > nz(AlphaTrend ) ? nz(AlphaTrend ) : downT
color1 = AlphaTrend > AlphaTrend ? #00E60F : AlphaTrend < AlphaTrend ? #80000B : AlphaTrend > AlphaTrend ? #00E60F : #80000B
k1 = plot(AlphaTrend, color=color.new(#0022FC, 0), linewidth=3)
k2 = plot(AlphaTrend , color=color.new(#FC0400, 0), linewidth=3)
fill(k1, k2, color=color1)
buySignalk = ta.crossover(AlphaTrend, AlphaTrend )
sellSignalk = ta.crossunder(AlphaTrend, AlphaTrend )
K1 = ta.barssince(buySignalk)
K2 = ta.barssince(sellSignalk)
O1 = ta.barssince(buySignalk )
O2 = ta.barssince(sellSignalk )
plotshape(buySignalk and showsignalsk and O1 > K2 ? AlphaTrend * 0.9999 : na, title='BUY', text='BUY', location=location.absolute, style=shape.labelup, size=size.tiny, color=color.new(#0022FC, 0), textcolor=color.new(color.white, 0))
plotshape(sellSignalk and showsignalsk and O2 > K1 ? AlphaTrend * 1.0001 : na, title='SELL', text='SELL', location=location.absolute, style=shape.labeldown, size=size.tiny, color=color.new(color.maroon, 0), textcolor=color.new(color.white, 0))
alertcondition(buySignalk and O1 > K2, title='Potential BUY Alarm', message='BUY SIGNAL!')
alertcondition(sellSignalk and O2 > K1, title='Potential SELL Alarm', message='SELL SIGNAL!')
alertcondition(buySignalk and O1 > K2, title='Confirmed BUY Alarm', message='BUY SIGNAL APPROVED!')
alertcondition(sellSignalk and O2 > K1, title='Confirmed SELL Alarm', message='SELL SIGNAL APPROVED!')
alertcondition(ta.cross(close, AlphaTrend), title='Price Cross Alert', message='Price - AlphaTrend Crossing!')
alertcondition(ta.crossover(low, AlphaTrend), title='Candle CrossOver Alarm', message='LAST BAR is ABOVE ALPHATREND')
alertcondition(ta.crossunder(high, AlphaTrend), title='Candle CrossUnder Alarm', message='LAST BAR is BELOW ALPHATREND!')
alertcondition(ta.cross(close , AlphaTrend ), title='Price Cross Alert After Bar Close', message='Price - AlphaTrend Crossing!')
alertcondition(ta.crossover(low , AlphaTrend ), title='Candle CrossOver Alarm After Bar Close', message='LAST BAR is ABOVE ALPHATREND!')
alertcondition(ta.crossunder(high , AlphaTrend ), title='Candle CrossUnder Alarm After Bar Close', message='LAST BAR is BELOW ALPHATREND!')
Average Candle Height
“Average Candle Height Indicator”
This indicator calculates and visualizes the average candle height over a specified period, providing insight into recent market volatility. The indicator calculates two separate averages over the last 30 days (or a custom period set by the user):
1. High-Low Average (blue line): Measures the average height of candles based on the range between the high and low prices. This can indicate the overall market range and volatility for each candle.
2. Open-Close Average (red line): Measures the average height of candles based on the absolute difference between the open and close prices, reflecting the average change in price per candle.
By showing these two averages in a separate pane, this indicator allows traders to compare volatility based on full candle ranges (high-low) and directional price movement (open-close). It’s useful for identifying periods of high volatility or consolidation and understanding typical candle size patterns over the specified timeframe.
Saqib Bars CounterOffset for Spacing: Added a variable offset = 10 which controls the vertical spacing for the arrows. You can adjust this value to increase or decrease the distance between the arrow and the candle.
4 Moving Averages (EMA)This script displays four customizable Exponential Moving Averages (EMAs) to assist in trend analysis across various markets. The indicator allows you to easily adjust the periods for each EMA and visualize them directly on the chart.
Features:
- 4 customizable EMAs with default periods set to 9, 20, 50, and 200.
- Each EMA is color-coded for easy identification:
EMA 9 (gray)
EMA 20 (fuchsia)
EMA 50 (red)
EMA 200 (aqua)
- Ideal for identifying short, medium, and long-term trends.
- Applicable to any market: Forex, stocks, cryptocurrencies, commodities, etc.
How to Use:
- Add this indicator to your chart to visualize the EMAs.
- Adjust the periods to fit your trading strategy.
- Use the EMAs to identify trends, crossovers, and potential entry/exit points.
This script is perfect for traders looking for a quick analysis of market trends using multiple EMAs.
Liquidity Channels [TFO]This indicator was built to visually demonstrate the significance of major, untouched pivots. With traders commonly placing orders at or near significant pivots, these areas are commonly referred to as Resting Liquidity. If we attribute some factor of growth over time, we can quickly visualize that certain pivots originated much further away than others, if their channels appear larger.
A pivot in this case is validated by the Liquidity Strength parameter. If set to 50 for example, then a pivot high is validated if its high is greater than the high of the 50 bars to the left and right of itself. This also implies a delay in finding pivots, as the drawings won't actually appear until validation, which would occur 50 bars after the original high has formed in this case. This is typical of indicators using swing highs and lows, as one must wait some period of time to validate the pivots in question.
The Channel Growth parameter dictates how much the Liquidity Channels will expand over time. The following chart is an example, where the left-hand side is using a Channel Growth of 1, and the right-hand side is using a Channel Growth of 10.
When price reaches these levels, they become invalidated and will stop extending to the right. The other condition for invalidation is the Delete After (Bars) parameter which, when enabled, declares that untouched levels will be deleted if the distance from their origin exceeds this many bars.
This indicator also offers an option to Hide Expanding Channels for those who just want the actual levels on their chart, without the extra visuals, which would look something like the below chart.
Awesome ADX Indicator {K28}Awesome ADX Indicator:
Purpose: The Awesome ADX Indicator is designed to help traders and investors identify the strength and direction of trends in the market, providing valuable insights for entering and exiting positions. By using the Average Directional Index (ADX) along with its directional indicators DI+ and DI-, this indicator helps determine whether a market is trending or in a range, and provides potential entry and exit points.
How to Use the Awesome ADX Indicator for Investment:
Understanding the Indicator Lines:
ADX Line (Blue): The ADX measures the strength of a trend.
Strong Trend: When ADX is above the threshold level (default is 20), the market is in a strong trend (either up or down).
Weak or No Trend: When ADX is below the threshold, it indicates a weak or no trend, suggesting a range-bound market.
DI+ Line (Green): Represents upward momentum or bullish strength.
When DI+ is above DI-, it signals a bullish trend and could indicate a potential buy opportunity.
DI- Line (Red): Represents downward momentum or bearish strength.
When DI- is above DI+, it signals a bearish trend and could indicate a potential sell or short position.
Entry Signal (Buy Opportunity):
Conditions for a Strong Uptrend: Look for the following signals:
ADX Above Threshold (e.g., 20): A strong trend is in place.
DI+ (Green) > DI- (Red): Indicates upward momentum and suggests a potential buy.
Action: When both conditions are met, and the ADX is above the threshold, consider entering a long position (buy) as the market shows strength in an uptrend.
Exit Signal (Sell Opportunity):
Conditions for a Strong Downtrend: Look for the following signals:
ADX Above Threshold (e.g., 20): A strong trend is in place.
DI- (Red) > DI+ (Green): Indicates downward momentum and suggests a potential sell.
Action: When both conditions are met, and the ADX is above the threshold, consider exiting your long position (sell) or entering a short position (sell).
Gradient Zones:
Entry Zone (Green Gradient): The background will turn green when ADX is above the threshold, and DI+ is stronger than DI-. This indicates a favorable condition for entering a long (buy) position.
Exit Zone (Red Gradient): The background will turn red when ADX is above the threshold, and DI- is stronger than DI+. This indicates a favorable condition for exiting a long position or entering a short (sell) position.
Using the ADX for Trend Strength Confirmation:
When ADX is rising (i.e., moving up from below the threshold), it confirms that the strength of the trend is increasing. If the trend is bullish (DI+ > DI-), it's an ideal time to enter a long position.
When ADX is falling (i.e., moving down), it suggests the trend is losing strength or the market is moving into a range-bound phase. In this case, it may be best to exit any open positions or avoid entering new positions.
Adjusting the ADX Threshold:
Lower ADX Threshold (e.g., 15): A lower threshold can be used to capture trends earlier, but it may also generate more false signals during weaker trends.
Higher ADX Threshold (e.g., 25): A higher threshold may help filter out noise and avoid entering positions in weaker trends, but it could also delay entry during strong, early trends.
Investment Strategy Tips:
Trend Following: The Awesome ADX Indicator is best used as a trend-following tool. Focus on markets that show strong trends (i.e., when ADX is above 20). When the trend is strong (DI+ > DI-), consider entering long positions. When the trend is bearish (DI- > DI+), consider short positions or exiting long positions.
Avoid Sideways Markets: When ADX is below the threshold (20), the market is likely in a consolidation or range-bound phase, and it’s generally not ideal for trend-following strategies. Avoid making major investment decisions in such conditions.
Combine with Other Indicators: While the ADX provides valuable insight into trend strength, it’s recommended to combine it with other indicators like moving averages, RSI, or MACD for additional confirmation of trend direction and strength.
Take Profits and Stop Losses:
Consider setting profit-taking and stop-loss levels based on other indicators or price action to manage risk.
Once a trend weakens (i.e., ADX falls below the threshold or DI- crosses above DI+), consider exiting your position.
Open YEARLY DDZHello,
This indicator displays the opening price of each year. The background color changes depending on whether the price is above or below the opening price of the current year.
MACD+RSI+BBDESCRIPTION
The MACD + RSI + Bollinger Bands Indicator is a comprehensive technical analysis tool designed for traders and investors to identify potential market trends and reversals. This script combines three indicators: the Moving Average Convergence Divergence (MACD), the Relative Strength Index (RSI), and Bollinger Bands. Each of these indicators provides unique insights into market behavior.
FEATURES
MACD (Moving Average Convergence Divergence)
The MACD is a trend-following momentum indicator that shows the relationship between two moving averages of a security’s price.
The script calculates the MACD line, the signal line, and the histogram, which visually represents the difference between the MACD line and the signal line.
RSI (Relative Strength Index)
The RSI is a momentum oscillator that measures the speed and change of price movements. It ranges from 0 to 100 and is typically used to identify overbought or oversold conditions.
The script allows users to set custom upper and lower thresholds for the RSI, with default values of 70 and 30, respectively.
Bollinger Bands
Bollinger Bands consist of a middle band (EMA) and two outer bands (standard deviations away from the EMA). They help traders identify volatility and potential price reversals.
The script allows users to customize the length of the Bollinger Bands and the multiplier for the standard deviation.
Color-Coding Logic
The histogram color changes based on the following conditions:
Black: If the RSI is above the upper threshold and the closing price is above the upper Bollinger Band, or if the RSI is below the lower threshold and the closing price is below the lower Bollinger Band.
Green (#4caf50): If the RSI is above the upper threshold but the closing price is not above the upper Bollinger Band.
Light Green (#a5d6a7): If the histogram is positive and the RSI is not above the upper threshold.
Red (#f23645): If the RSI is below the lower threshold but the closing price is not below the lower Bollinger Band.
Light Red (#faa1a4): If the histogram is negative and the RSI is not below the lower threshold.
Inputs
Bollinger Bands Settings
Length: The number of periods for the moving average.
Basis MA Type: The type of moving average (SMA, EMA, SMMA, WMA, VWMA).
Source: The price source for the Bollinger Bands calculation.
StdDev: The multiplier for the standard deviation.
RSI Settings
RSI Length: The number of periods for the RSI calculation.
RSI Upper: The upper threshold for the RSI.
RSI Lower: The lower threshold for the RSI.
Source: The price source for the RSI calculation.
MACD Settings
Fast Length: The length for the fast moving average.
Slow Length: The length for the slow moving average.
Signal Smoothing: The length for the signal line smoothing.
Oscillator MA Type: The type of moving average for the MACD calculation.
Signal Line MA Type: The type of moving average for the signal line.
Usage
This indicator is suitable for various trading strategies, including day trading, swing trading, and long-term investing.
Traders can use the MACD histogram to identify potential buy and sell signals, while the RSI can help confirm overbought or oversold conditions.
The Bollinger Bands provide context for price volatility and potential breakout or reversal points.
Example:
From the example, it can clearly see that the Selling Climax and Buying Climax, marked as orange circle when a black histogram occurs.
Conclusion
The MACD + RSI + Bollinger Bands Indicator is a versatile tool that combines multiple technical analysis methods to provide traders with a comprehensive view of market conditions. By utilizing this script, traders can enhance their analysis and improve their decision-making process.
Period MarkerThis Period Marker Indicator for TradingView is a visual tool that allows you to highlight a specific date range on your chart. It uses a shaded background color to mark the defined period, making it easy to visually separate and focus on specific time intervals. This is especially useful for analyzing historical events, comparing specific timeframes, or marking earnings seasons or other critical periods in price action.
Key Features
Easy Date Range Selection:
The indicator has a calendar-style date input for both the start and end dates. This allows for quick and precise selection of date ranges without manually entering each date component (year, month, day).
Customizable Period Highlight:
When active, the indicator shades the background of the chart over the specified period. The default highlight color is a semi-transparent green, but this can be customized within the script to any color and opacity you prefer.
The shaded background helps you easily identify and focus on the defined date range.
Dynamic Adjustment:
You can adjust the start and end dates in real-time, and the background shading will automatically update to reflect the new period, allowing flexibility in testing and viewing multiple periods quickly.
Practical Uses
Event Marking: Track significant historical events (e.g., economic data releases, geopolitical events) to see their effects on price action.
Seasonal Analysis: Highlight and compare seasonal trends, such as quarterly earnings or year-end rallies, across multiple years.
Backtesting Specific Periods: When analyzing strategies, you can visually isolate specific date ranges to review performance or behavior in defined intervals.
The Period Marker Indicator is a simple yet effective way to enhance time-based analysis on TradingView, helping you gain insights by focusing on relevant periods with ease.
Nami Bands with Future Projection [FXSMARTLAB]The Nami Bands ( Inspired by "Nami", meaning "wave" in Japanese) are two dynamic bands around price data: an upper band and a lower band. These bands are calculated based on an Asymmetric Linear Weighted Moving Average of price and a similarly asymmetric weighted standard deviation. This weighting method emphasizes recent data without overreacting to short-term price changes, thus smoothing the bands in line with prevailing market conditions.
Advantages and Benefits of Using the Indicator
* Volatility Analysis: The bands expand and contract with market volatility, helping traders assess periods of high and low volatility. Narrow bands indicate low volatility and potential consolidation, while wide bands suggest increased volatility and potential price movement.
* Dynamic Support and Resistance Levels: By adapting to recent trends, the bands serve as dynamic support (lower band) and resistance (upper band) levels, which traders can use for entry and exit signals.
* Overbought and Oversold Conditions: When prices reach or cross the bands’ outer limits, it may signal overbought (upper band) or oversold (lower band) conditions, suggesting possible reversals or trend slowdowns.
* Trend Confirmation and Continuation: The slope of the central moving average confirms trend direction. An upward slope generally indicates a bullish trend, while a downward slope suggests a bearish trend.
* Anticipating Breakouts and Reversals: The projected bands help identify where price movements may head, allowing traders to anticipate potential breakouts or reversals based on projected support and resistance.
Indicator Parameters
Source (src): The price data used for calculations, by default set to the average of high, low, and close (hlc3).
Length: The period over which calculations are made, defaulted to 50 periods.
Projection Length: The length for future band projection, defaulted to 20 periods.
StdDev Multiplier (mult): A multiplier for the standard deviation, defaulted to 2.0.
Internal Calculations
1. Asymmetric Linear Weighted Moving Average of Price
The indicator uses an Asymmetric Linear Weighted Moving Average (ALWMA) to calculate a central value for the price.
Asymmetric Weighting: This weighting technique assigns the highest weight to the most recent value, with weights decreasing linearly as the data points become older. This structure provides a nuanced focus on recent price trends, while still reflecting historical price levels.
2. Asymmetric Weighted Standard Deviation
The standard deviation in this indicator is also calculated using asymmetric weighting:
Purpose of Asymmetric Weighted Standard Deviation: Rather than aiming for high sensitivity to recent data, this standard deviation measure smooths out volatility by integrating weighted values across the length period, stabilizing the overall measurement of price variability.
This approach yields a balanced view of volatility, capturing broader market trends without being overly reactive to short-lived changes.
3. Upper and Lower Bands
The upper and lower bands are created by adding and subtracting the asymmetric weighted standard deviation from the asymmetric weighted average of price. This creates a dynamic envelope that adjusts to both recent price trends and the smoothed volatility measure:
These bands represent adaptable support and resistance levels that shift with recent market volatility.
Future Band Projection
The indicator provides a projection of the bands based on their current slope.
1. Calculating the Slope of the Bands
The slope for each band is derived from the difference between the current and previous values of each band.
2. Projecting the Bands into the Future
For each period into the future, up to the defined Projection Length, the bands are projected using the current slope.
This feature offers an anticipated view of where support and resistance levels may move, providing insight for future market behavior based on current trends.
