Super CCI By Baljit AujlaThe indicator you've shared is a custom CCI (Commodity Channel Index) with multiple types of Moving Averages (MA) and Divergence Detection. It is designed to help traders identify trends and reversals by combining the CCI with various MAs and detecting different types of divergences between the price and the CCI.
Key Components of the Indicator:
CCI (Commodity Channel Index):
The CCI is an oscillator that measures the deviation of the price from its average price over a specific period. It helps identify overbought and oversold conditions and the strength of a trend.
The CCI is calculated by subtracting a moving average (SMA) from the price and dividing by the average deviation from the SMA. The CCI values fluctuate above and below a zero centerline.
Multiple Moving Averages (MA):
The indicator allows you to choose from a variety of moving averages to smooth the CCI line and identify trend direction or support/resistance levels. The available types of MAs include:
SMA (Simple Moving Average)
EMA (Exponential Moving Average)
WMA (Weighted Moving Average)
HMA (Hull Moving Average)
RMA (Running Moving Average)
SMMA (Smoothed Moving Average)
TEMA (Triple Exponential Moving Average)
DEMA (Double Exponential Moving Average)
VWMA (Volume-Weighted Moving Average)
ZLEMA (Zero-Lag Exponential Moving Average)
You can select the type of MA to use with a specified length to help identify the trend direction or smooth out the CCI.
Divergence Detection:
The indicator includes a divergence detection mechanism to identify potential trend reversals. Divergences occur when the price and an oscillator like the CCI move in opposite directions, signaling a potential change in price momentum.
Four types of divergences are detected:
Bullish Divergence: Occurs when the price makes a lower low, but the CCI makes a higher low. This indicates a potential reversal to the upside.
Bearish Divergence: Occurs when the price makes a higher high, but the CCI makes a lower high. This indicates a potential reversal to the downside.
Hidden Bullish Divergence: Occurs when the price makes a higher low, but the CCI makes a lower low. This suggests a continuation of the uptrend.
Hidden Bearish Divergence: Occurs when the price makes a lower high, but the CCI makes a higher high. This suggests a continuation of the downtrend.
Each type of divergence is marked on the chart with arrows and labels to alert traders to potential trading opportunities. The labels include the divergence type (e.g., "Bull Div" for Bullish Divergence) and have customizable text colors.
Visual Representation:
The CCI and its associated moving average are plotted on the indicator panel below the price chart. The CCI is plotted as a line, and its color changes depending on whether it is above or below the moving average:
Green when the CCI is above the MA (indicating bullish momentum).
Red when the CCI is below the MA (indicating bearish momentum).
Horizontal lines are drawn at specific levels to help identify key CCI thresholds:
200 and -200 levels indicate extreme overbought or oversold conditions.
75 and -75 levels represent less extreme levels of overbought or oversold conditions.
The 0 level acts as a neutral or baseline level.
A background color fill between the 75 and -75 levels helps highlight the neutral zone.
Customization Options:
CCI Length: You can customize the length of the CCI, which determines the period over which the CCI is calculated.
MA Length: The length of the moving average applied to the CCI can also be adjusted.
MA Type: Choose from a variety of moving averages (SMA, EMA, WMA, etc.) to smooth the CCI.
Divergence Detection: The indicator automatically detects the four types of divergences (bullish, bearish, hidden bullish, hidden bearish) and visually marks them on the chart.
How to Use the Indicator:
Trend Identification: When the CCI is above the selected moving average, it suggests bullish momentum. When the CCI is below the moving average, it suggests bearish momentum.
Overbought/Oversold Conditions: The CCI values above 100 or below -100 indicate overbought and oversold conditions, respectively.
Divergence Analysis: The detection of bullish or bearish divergences can signal potential trend reversals. Hidden divergences may suggest trend continuation.
Trading Signals: You can use the divergence markers (arrows and labels) as potential buy or sell signals, depending on whether the divergence is bullish or bearish.
Practical Application:
This indicator is useful for traders who want to:
Combine the CCI with different moving averages for trend-following strategies.
Identify overbought and oversold conditions using the CCI.
Use divergence detection to anticipate potential trend reversals or continuations.
Have a highly customizable tool for various trading strategies, including trend trading, reversal trading, and divergence-based trading.
Overall, this is a comprehensive tool that combines multiple technical analysis techniques (CCI, moving averages, and divergence) in a single indicator, providing traders with a robust way to analyze price action and spot potential trading opportunities.
אינדיקטורים ואסטרטגיות
RSI Revolucionário Inteligente com Filtro de VolatilidadeTítulo do Indicador
RSI Dinâmico com Filtro Avançado de Volatilidade
Descrição Completa
O RSI Dinâmico com Filtro Avançado de Volatilidade é um indicador inovador projetado para traders que buscam precisão nas decisões de compra e venda, utilizando uma abordagem avançada baseada no Índice de Força Relativa (RSI), volatilidade e análise de volume. Este indicador foi desenvolvido para maximizar a assertividade, evitando sinais em momentos de baixa movimentação e validando as operações em condições de mercado mais confiáveis.
Recursos Principais
Zonas Dinâmicas do RSI:
As zonas de sobrecompra e sobrevenda do RSI são ajustadas automaticamente de acordo com a volatilidade, oferecendo maior adaptabilidade aos movimentos de mercado.
Isso permite detectar reversões mais confiáveis, reduzindo falsos positivos.
Filtro de Volatilidade (ATR):
Um filtro avançado de volatilidade baseado no Average True Range (ATR) garante que os sinais sejam emitidos apenas quando o mercado apresenta movimentação significativa, evitando períodos laterais e incertezas.
Validação de Volume:
O indicador considera o volume em relação à média histórica, permitindo maior confiabilidade nos sinais emitidos em períodos de alta liquidez e interesse dos participantes do mercado.
Direção da Tendência com RSI e Média Móvel:
Combinação de RSI e médias móveis (EMA rápida e lenta) para emitir sinais apenas na direção da tendência predominante.
Sinais de Compra e Venda:
CALL (Compra): Quando o RSI atinge níveis de sobrevenda ajustados pela volatilidade, em tendência de alta com volume elevado.
PUT (Venda): Quando o RSI atinge níveis de sobrecompra ajustados pela volatilidade, em tendência de baixa com volume elevado.
Como Utilizar o Indicador
Tendência e Confirmação:
Use as médias móveis para identificar a tendência geral do mercado.
Realize operações apenas na direção da tendência (CALL em alta e PUT em baixa).
Sinais de Compra e Venda:
As setas verdes indicam sinais de compra (CALL).
As setas vermelhas indicam sinais de venda (PUT).
Parâmetros Ajustáveis:
Período RSI: Controle a sensibilidade do RSI às movimentações de mercado.
Período ATR e Filtro de Volatilidade: Ajuste para mercados mais ou menos voláteis.
Multiplicador de Volume: Controle o nível de validação do volume para sinais.
Configuração Ideal
Timeframe sugerido: 1 minuto (M1).
Ativo recomendado: BTC/USD ou outros ativos voláteis.
Teste e ajuste os parâmetros para melhor performance em diferentes mercados e ativos.
Aviso Importante
Este indicador é uma ferramenta poderosa, mas nenhuma estratégia ou ferramenta garante 100% de assertividade. É essencial realizar backtests, testes em conta demo e utilizar gerenciamento de risco adequado para maximizar os resultados.
Criação e Desenvolvimento
Este indicador foi projetado para oferecer precisão e eficiência ao trader moderno, aproveitando o poder da inteligência artificial e técnicas avançadas de análise de mercado. Experimente e otimize seus resultados no mercado! 🚀
ETH/USDT Futures Helper (25x Leverage)//@version=5
indicator("ETH/USDT Futures Helper (25x Leverage)", overlay=true)
// Configuración de parámetros
length = input.int(14, title="Longitud para Soportes y Resistencias", minval=1)
rsi_length = input.int(14, title="Longitud del RSI")
ema_length = input.int(50, title="Longitud del EMA")
show_sr = input.bool(true, title="Mostrar Soportes y Resistencias")
show_rsi_filter = input.bool(true, title="Filtrar con RSI")
rsi_upper = input.int(70, title="RSI Sobrecomprado")
rsi_lower = input.int(30, title="RSI Sobrevendido")
// Cálculo de Soportes y Resistencias
highest_high = ta.highest(high, length)
lowest_low = ta.lowest(low, length)
resistance = highest_high
support = lowest_low
// RSI
rsi = ta.rsi(close, rsi_length)
// EMA
ema = ta.ema(close, ema_length)
// Condiciones de Señales con RSI y EMA
buy_condition = ta.crossover(close, support) and close > ema and (not show_rsi_filter or rsi < rsi_lower)
sell_condition = ta.crossunder(close, resistance) and close < ema and (not show_rsi_filter or rsi > rsi_upper)
// Mostrar Soportes y Resistencias
if show_sr
line.new(bar_index , resistance, bar_index , resistance, color=color.red, width=2, style=line.style_dotted, extend=extend.right)
line.new(bar_index , support, bar_index , support, color=color.green, width=2, style=line.style_dotted, extend=extend.right)
// Mostrar Señales en el Gráfico
plotshape(buy_condition, style=shape.labelup, location=location.belowbar, color=color.green, size=size.small, title="Buy Signal")
plotshape(sell_condition, style=shape.labeldown, location=location.abovebar, color=color.red, size=size.small, title="Sell Signal")
// Dibujar el EMA
plot(ema, color=color.blue, title="EMA")
// Alertas
alertcondition(buy_condition, title="Compra", message="¡Señal de compra detectada!")
alertcondition(sell_condition, title="Venta", message="¡Señal de venta detectada!")
// RSI Panel
hline(70, "RSI Overbought", color=color.red)
hline(30, "RSI Oversold", color=color.green)
plot(rsi, title="RSI", color=color.orange)
Tabela Customizada com EMAs, RSI e RegressãoEste indicador avançado combina análise técnica com um painel visual detalhado, projetado para ajudar traders a tomarem decisões informadas no mercado. Ele inclui:
RSI com Níveis Personalizados:
O indicador calcula o Índice de Força Relativa (RSI) em múltiplos intervalos de tempo (1min, 5min, 15min, 1h, 4h, diário, semanal e mensal).
Exibe os níveis de suporte e resistência do RSI (70 e 30) diretamente no gráfico, além de uma linha média para facilitar a interpretação.
Identifica a tendência com base no RSI, indicando se o mercado está em tendência de alta ou baixa.
Tabela Dinâmica:
Um painel com três colunas que exibe o intervalo de tempo, o valor do RSI e a tendência atual.
Atualiza automaticamente as informações conforme o mercado evolui.
Médias Móveis Exponenciais (EMAs):
Exibe EMAs importantes (9, 12, 21, 50 e 200 períodos), que podem ser ocultadas ou exibidas conforme necessário.
Ajuda a identificar tendências e potenciais pontos de reversão.
Regressão Linear com Desvios:
Uma funcionalidade opcional que calcula e exibe a linha de regressão linear, com limites superiores e inferiores baseados no desvio padrão.
Indica áreas de sobrecompra e sobrevenda, auxiliando na identificação de possíveis reversões.
Customização Visual:
Configurações de cores e transparência para facilitar a leitura e personalização do gráfico.
Este indicador é ideal para traders que buscam uma visão abrangente do mercado, combinando análise de momentum (RSI), tendências (EMAs) e zonas de reversão (Regressão Linear).
Recomendações:
Use-o em conjunto com outros indicadores ou estratégias para validar sinais.
Ative a regressão linear apenas em momentos-chave para evitar poluição visual no gráfico.
Aproveite este indicador como uma ferramenta poderosa para sua análise técnica no TradingView!
Direitos Autorais © 2024 Diego Junior Haefliger
SHLL Model BTC PredictionThis indicator provides the model predictions for the Seasonal Halving Log-Log (SHLL) model as described here .
As an overview, the SHLL model is a power law model for Bitcoin price with a couple notable differences from the standard power law model:
Its exogenous variable is progression through halvings rather than days from the genesis block. Progression through halvings is defined as number of blocks mined through a given day divided by 210,000 (the number of blocks in each cycle)
Future predictions are based on the current rate at which blocks are mined
It is a mixed effects model where the fixed effects are a power law using progression through halving (also called "fair value") and the random effects are a seasonality component
The seasonality component is created by taking the percent progress through halving and breaking it into 48 periods. These allow cycle variability to be calculated versus the fair value
Variance is also hierarchical; a base variance is calculated and then individual, added variance is calculated for each seasonal period
It also incorporates IRLS like elements to trim outliers for more robust predictions
R^2 of the model versus the standard power law model:
Log scale: 0.976 vs. 0.956
Linear scale: 0.857 vs. 0.745
Consecutive Lower Highs/Higher Lows v1 [tradinggeniusberlin]This indicator counts the lower highs and higher low streaks. If the streak is above a certain threshold a buy or exit arrow is shown.
Idea:
The probability of a reversal is rising the more lower highs the asset had already because if mean reversion tendencies of asset prices. Especially in uptrend above the 20ma and/or 50ma.
How to use it:
In Uptrends, lower high streak of 3 or more, enter at first new high.
Optimierter Fear and Greed Index (kontinuierlich)fear and greed index for bigger timeframes with quick acting line (intraday)
Squeeze Momentum Indicator [LazyBear]indicado squeeze con adx, lo utilizo para analizar la dirección y fuerza del precio
EMA & VWAP StrategyLong Entry: When the 9 EMA crosses above the 20 EMA and the price is above the VWAP.
Short Entry: When the 9 EMA crosses below the 20 EMA and the price is below the VWAP.
Exit Signals: Based on EMA crossbacks or opposite conditions.
Relative Strength Index by RNPThis RSI indicator is similar to other RSI tools but is divided into four distinct zones: 20-30-40 and 60-70-80. In this version, an RSI between 40 and 20 indicates weakness in the stock. When the RSI touches 20, it often signals a potential reversal (U-turn). However, in some cases, the reversal may occur around 30.
Similarly, when the RSI reaches 60, it may indicate the beginning of a bullish phase. The stock might reverse near 70 or 80, so we remain cautious in these zones. This segmentation provides a clearer understanding of market trends and helps in making more informed decisions.
Quick scan for signal🙏🏻 Hey TV, this is QSFS, following:
^^ Quick scan for drift (QSFD)
^^ Quick scan for cycles (QSFC)
As mentioned before, ML trading is all about spotting any kind of non-randomness, and this metric (along with 2 previously posted) gonna help ya'll do it fast. This one will show you whether your time series possibly exhibits mean-reverting / consistent / noisy behavior, that can be later confirmed or denied by more sophisticated tools. This metric is O(n) in windowed mode and O(1) if calculated incrementally on each data update, so you can scan Ks of datasets w/o worrying about melting da ice.
^^ windowed mode
Now the post will be divided into several sections, and a couple of things I guess you’ve never seen or thought about in your life:
1) About Efficiency Ratios posted there on TV;
Some of you might say this is the Efficiency Ratio you’ve seen in Perry's book. Firstly, I can assure you that neither me nor Perry, just as X amount of quants all over the world and who knows who else, would say smth like, "I invented it," lol. This is just a thing you R&D when you need it. Secondly, I invite you (and mods & admin as well) to take a lil glimpse at the following screenshot:
^^ not cool...
So basically, all the Efficiency Ratios that were copypasted to our platform suffer the same bug: dudes don’t know how indexing works in Pine Script. I mean, it’s ok, I been doing the same mistakes as well, but loxx, cmon bro, you... If you guys ever read it, the lines 20 and 22 in da code are dedicated to you xD
2) About the metric;
This supports both moving window mode when Length > 0 and all-data expanding window mode when Length < 1, calculating incrementally from the very first data point in the series: O(n) on history, O(1) on live updates.
Now, why do I SQRT transform the result? This is a natural action since the metric (being a ratio in essence) is bounded between 0 and 1, so it can be modeled with a beta distribution. When you SQRT transform it, it still stays beta (think what happens when you apply a square root to 0.01 or 0.99), but it becomes symmetric around its typical value and starts to follow a bell-shaped curve. This can be easily checked with a normality test or by applying a set of percentiles and seeing the distances between them are almost equal.
Then I noticed that on different moving window sizes, the typical value of the metric seems to slide: higher window sizes lead to lower typical values across the moving windows. Turned out this can be modeled the same way confidence intervals are made. Lines 34 and 35 explain it all, I guess. You can see smth alike on an autocorrelogram. These two match the mean & mean + 1 stdev applied to the metric. This way, we’ve just magically received data to estimate alpha and beta parameters of the beta distribution using the method of moments. Having alpha and beta, we can now estimate everything further. Btw, there’s an alternative parameterization for beta distributions based on data length.
Now what you’ll see next is... u guys actually have no idea how deep and unrealistically minimalistic the underlying math principles are here.
I’m sure I’m not the only one in the universe who figured it out, but the thing is, it’s nowhere online or offline. By calculating higher-order moments & combining them, you can find natural adaptive thresholds that can later be used for anomaly detection/control applications for any data. No hardcoded thresholds, purely data-driven. Imma come back to this in one of the next drops, but the truest ones can already see it in this code. This way we get dem thresholds.
Your main thresholds are: basis, upper, and lower deviations. You can follow the common logic I’ve described in my previous scripts on how to use them. You just register an event when the metric goes higher/lower than a certain threshold based on what you’re looking for. Then you take the time series and confirm a certain behavior you were looking for by using an appropriate stat test. Or just run a certain strategy.
To avoid numerous triggers when the metric jitters around a threshold, you can follow this logic: forget about one threshold if touched, until another threshold is touched.
In general, when the metric gets higher than certain thresholds, like upper deviation, it means the signal is stronger than noise. You confirm it with a more sophisticated tool & run momentum strategies if drift is in place, or volatility strategies if there’s no drift in place. Otherwise, you confirm & run ~ mean-reverting strategies, regardless of whether there’s drift or not. Just don’t operate against the trend—hedge otherwise.
3) Flex;
Extension and limit thresholds based on distribution moments gonna be discussed properly later, but now you can see this:
^^ magic
Look at the thresholds—adaptive and dynamic. Do you see any optimizations? No ML, no DL, closed-form solution, but how? Just a formula based on a couple of variables? Maybe it’s just how the Universe works, but how can you know if you don’t understand how fundamentally numbers 3 and 15 are related to the normal distribution? Hm, why do they always say 3 sigmas but can’t say why? Maybe you can be different and say why?
This is the primordial power of statistical modeling.
4) Thanks;
I really wanna dedicate this to Charlotte de Witte & Marion Di Napoli, and their new track "Sanctum." It really gets you connected to the Source—I had it in my soul when I was doing all this ∞
4-Frame Trend CountThis script tracks the current close vs the close from 4 time frames prior to spot a trend reversal after 9 consecutive up or down moves.
Abstract Moving Averages
This combination of multiple types of MovingAverages shows the market's tendency to Trend or Range without any delay, making it particularly effective at predicting potential market volatility. This can be used for immediate direction bias or long term market shifts. As with any indicator it alone doesn't provide precise entries, it needs to be used in combination with a strategy.
Some details: use the 200MA(pink line) as the short term bias. Remove 500SMMA depending on strategy because it may cause issues. There is a session display tool, as a quality of life improvement.
Moving Averages used:
SMMA-1, length 500
MA-1, length 800
MA-2, length 500
MA-3, length 400
MA-4, length 250
MA-5, length 200
EMA-1, length 800
EMA-2, length 400
EMA-3, length 300
Multi-Timeframe SMAsI use this indicator on the 1 min to keep an eye on the larger time frames 30 min, 4 hr, and 1 day to enter exit my trades. I like to follow the trend so this give me a view on the 1 min of the location and direction of the other 9/20s.
// ---------------------------------------------------------------------------
// Description:
// This script plots 9 SMA and 20 SMA lines for up to three user-configurable
// timeframes. By default, it uses 30 minutes, 4 hours, and 1 day as the
// timeframes. Users can enable/disable any timeframe and adjust their settings
// via the indicator options.
//
// Features:
// - Configurable timeframes for 9 SMA and 20 SMA.
// - Adjustable transparency (default: 50%) for better chart visibility.
// - Thin line style (linewidth = 1).
//
// Instructions:
// 1. Add the script to your TradingView chart.
// 2. Open the indicator settings to configure timeframes or enable/disable each.
// 3. Enjoy a multi-timeframe view of SMAs on any chart.
// ---------------------------------------------------------------------------
SectorInfo+Darvas+EMA+Pivots+RSI+AVWAPSectorInfo+Darvas+EMA+Pivots+RSI+AVWAP
This indicator is having Darvas Box combination with all the EMAs and RSI for multi time frames.It also contains the sector and Industry info for any script.Additionally it also has the Pivots plotted and also the AVWAP
Two EMAs by JUNKLESPropósito
El objetivo principal es combinar la precisión de las tendencias a corto plazo con la estabilidad de las tendencias a largo plazo, permitiendo tomar decisiones informadas con base en la alineación o divergencia entre ambas.
Señales Generadas
Tendencia Alcista:
Cuando la EMA de 16 periodos (4H) cruza por encima de la EMA de 96 periodos (1D).
Indica que las tendencias intradía y diarias están alineadas al alza, lo que refuerza las oportunidades de compra.
Tendencia Bajista:
Cuando la EMA de 16 periodos cruza por debajo de la EMA de 96 periodos.
Esto sugiere que las tendencias intradía y diarias están alineadas a la baja, proporcionando señales para ventas o posiciones cortas.
Zonas de Consolidación:
Si las dos EMAs están cerca o cruzándose con frecuencia, puede ser un indicador de que el mercado está en rango o consolidación, y se deben evitar operaciones impulsivas.
NDX Session LowsThis script will:
Track two sessions: 9:30-13:30 ET (green) and 13:30-16:00 ET (red)
Plot the lows for each session
Works as an overlay on your chart
Uses version 5 of Pine Script
BTC Pi Cycle Top - Diminishing Version (As seen on ITC)This is an indicator shown on Into The Cryptoverse. Video posted on Nov 25 2024.
The video goes to explain that the Pi Cycle top indicator has successfully called 3 market tops (1 via backtesting, and 2 subsequent in a row). The video goes on to say that there is a chance, due to diminishing returns, that this indicator may not detect the 2024/2025 market top due to this.
This indicator, which is a modified version of the Pi Cycle top, is made using the formula 111 DAY SMA / (350 Day SMA * 2)
The indicator shows that there have been diminishing peaks , and to take this into consideration, as a descending trend can be seen by drawing a trendline across these peaks.
www.youtube.com
TRIX ColorTRIX (Triple Exponential Moving Average) Indicator Overview
Purpose :
The TRIX Color indicator is a sophisticated technical analysis tool designed to:
Identify market trends
Generate trading signals
Measure price momentum
Filter out market noise
Calculation Methodology:
Applies three consecutive exponential moving averages (EMA)
Calculates percentage change of the third EMA compared to the previous period
Smooths out short-term price fluctuations
Reveals underlying price trends
Visual Characteristics:
TRIX Line Coloration:
Green: Value >= 0 (Bullish trend)
Red: Value < 0 (Bearish trend)
Trading Signals:
Buy Signal (Green Triangle):
Occurs when TRIX crosses zero from bottom to top
Indicates potential start of an upward trend
Sell Signal (Red Triangle):
Occurs when TRIX crosses zero from top to bottom
Suggests potential start of a downward trend
Configurable Parameters:
TRIX Period (default: 9)
Price type selection (open, close, high/low, etc.)
Key Benefits:
Trend identification
Market reversal point detection
Trade filtering
Momentum measurement
Noise reduction
Typical Use Cases:
Trend trading
Momentum trading
Trend confirmation
Market sentiment analysis
Recommended Strategies:
Combine with other technical indicators
Use on multiple timeframes
Confirm signals with additional analysis
Adjust period based on trading style
Ideal for Traders Who:
Seek trend-based trading strategies
Prefer visual, easy-to-interpret indicators
Trade on medium to long-term timeframes
Want to reduce market noise
Limitations:
Lagging indicator
Less effective in sideways markets
Should not be used in isolation
Requires complementary analysis
Technical Nuances:
Utilizes triple exponential smoothing
Provides percentage-based momentum
Offers clear visual trend interpretation
Performance Considerations:
Most effective in trending markets
Works best with liquid instruments
Requires proper risk management
Potential Improvements:
Combine with volume analysis
Use with support/resistance levels
Integrate with other momentum indicators
Customizable Rainbow Moving Averages (6 Lines)This script allows traders to display six customizable moving averages (MA) on their charts. Each MA can have its length, color, and line width tailored to the user's preferences. The script is designed to provide a clear overview of multiple trends across different timeframes, from short-term to long-term, by utilizing the following moving averages:
MA 5
MA 10
MA 20
MA 50
MA 100
MA 200
Key Features:
Fully editable MA lengths and colors for each line.
Smooth integration with the chart for easy trend analysis.
Color-coded "rainbow" effect for better visualization of trends.
How to Use:
Access the "Inputs" menu to customize the lengths and colors of each MA.
Apply the script to your chart to visualize the selected moving averages.
Analyze market trends using the clear, layered MAs to identify potential entry and exit points.
Ideal for:
Trend-following strategies.
Identifying crossovers between short-term and long-term trends.
Scalping, swing trading, and long-term investing.
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이 스크립트는 사용자가 직접 입력값을 설정할 수 있는 **6개의 이동평균선(Moving Average)**을 제공합니다.
각 이동평균선의 길이와 색상을 자유롭게 조정할 수 있어, 사용자에게 높은 커스터마이징 옵션을 제공합니다.
이 스크립트는 다음과 같은 특징이 있습니다:
6개의 이동평균선:
MA 5, MA 10, MA 20, MA 50, MA 100, MA 200
사용자 정의 가능:
각 이동평균선의 길이와 색상을 개별적으로 설정할 수 있습니다.
명확한 시각적 구분:
각 이동평균선은 고유의 색상으로 표시되어 차트를 쉽게 분석할 수 있습니다.
사용법:
스크립트 설정에서 각 이동평균선의 길이와 색상을 설정하세요.
이동평균선은 기본적으로 SMA(Simplified Moving Average)를 기준으로 계산됩니다.
트렌드 분석, 지지/저항 확인, 시장의 장기적 및 단기적 흐름을 파악하는 데 유용합니다.
차트 세팅 및 활용 팁:
"Rainbow 6"의 색상 체계를 활용하여 시장의 추세를 직관적으로 확인하세요.
각 이동평균선을 장기/단기 지표로 활용하여 돌파 구간이나 조정 시그널을 탐지할 수 있습니다.
Trend System - Bands (H4)H4 Trend System with 13/21/34 EMAs and using RSI and market structure to generate buy and sell signals
