Forex Power Indicator [FindBetterTrades]The Forex Power Indicator is designed to help traders quickly assess the relative strength and weakness of key forex pairs over a set period.
This tool calculates the percentage change in price over the last 5 days and highlights the strongest and weakest performing pairs in a simple table format.
Features:
Scans 10 major forex pairs (EURUSD, GBPUSD, USDJPY, AUDUSD, NZDUSD, USDCAD, CHFJPY, EURGBP, EURJPY, GBPJPY).
Calculates the percentage change over the last 5 days.
Identifies and labels the strongest and weakest pair based on performance.
Displays results in a customizable table, allowing traders to quickly interpret market trends.
How to Use:
The strongest pair (🟢) indicates the currency with the highest performance in the selected period.
The weakest pair (🔴) shows the currency that has lost the most value.
Alerts feature:
Once you add the script to your chart, go to "Create Alert"
Under "Condition", select "Forex Power Indicator ".
The system will use the messages set in the alert() function.
When triggered, the alert will display the message like:
"New strongest currency pair: USDJPY"
"New weakest currency pair: AUDUSD"
Use this information to spot momentum opportunities, potential reversals, or trend continuations in forex trading.
This indicator is for informational purposes only and should be used alongside other technical analysis tools to support trading decisions.
指標和策略
Estrategia Rentable de TradingDescripción de la Estrategia:
Medias Móviles: Utiliza una media móvil rápida y una lenta para identificar tendencias. Se generan señales de compra cuando la media rápida cruza por encima de la lenta y señales de venta cuando cruza por debajo.
RSI: Se utiliza el RSI para confirmar las entradas. Se busca comprar cuando el RSI está en sobreventa y vender cuando está en sobrecompra.
Gestión de Riesgos: Se establecen niveles de stop loss y take profit basados en porcentajes configurables.
Bot de Trading: Soportes, Resistencias, SMA, RSI, MACDExplicación del Indicador:
Parámetros de los Indicadores:
sma_20_periodo, sma_50_periodo, sma_200_periodo: Periodos de las tres medias móviles (20, 50, y 200).
rsi_periodo: Periodo para calcular el RSI (por defecto 14).
macd_fast, macd_slow, macd_signal: Los parámetros del MACD (valores típicos: 12, 26, 9).
dias_soporte_resistencia: El periodo de 30 días para calcular los soportes y resistencias.
Cálculo de los Indicadores:
sma_20, sma_50, sma_200: Media móvil simple de 20, 50 y 200 periodos.
rsi: Índice de Fuerza Relativa (RSI) de 14 periodos.
macd_line, signal_line: Líneas del MACD y su línea de señal.
soporte: El mínimo de los últimos 30 días para identificar el soporte.
resistencia: El máximo de los últimos 30 días para identificar la resistencia.
Condiciones de Entrada y Salida:
Condición de compra:
El precio está por encima de las tres medias móviles (20, 50, 200).
El RSI está por debajo de 30 (sobreventa).
El MACD está por encima de su línea de señal.
El precio está cerca del soporte (menos o igual al mínimo de los últimos 30 días).
Condición de venta:
El precio está por debajo de las tres medias móviles (20, 50, 200).
El RSI está por encima de 70 (sobrecompra).
El MACD está por debajo de su línea de señal.
El precio está cerca de la resistencia (más o igual al máximo de los últimos 30 días).
Visualización en el Gráfico:
Se muestran las medias móviles (20, 50 y 200 periodos).
Se trazan las líneas de soporte (mínimo de los últimos 30 días) y resistencia (máximo de los últimos 30 días).
Se generan señales de compra (BUY) y venta (SELL) con flechas verdes y rojas, respectivamente.
Alertas:
Se configuran las alertas para las condiciones de compra y venta, lo que te permite recibir notificaciones cuando se cumplen las condiciones.
Market Participation Index [PhenLabs]📊 Market Participation Index
Version: PineScript™ v6
📌 Description
Market Participation Index is a well-evolved statistical oscillator that constantly learns to develop by adapting to changing market behavior through the intricate mathematical modeling process. MPI combines different statistical approaches and Bayes’ probability theory of analysis to provide extensive insight into market participation and building momentum. MPI combines diverse statistical thinking principles of physics and information and marries them for subtle changes to occur in markets, levels to become influential as important price targets, and pattern divergences to unveil before it is visible by analytical methods in an old-fashioned methodology.
🚀 Points of Innovation:
Automatic market condition detection system with intelligent preset selection
Multi-statistical approach combining classical and advanced metrics
Fractal-based divergence system with quality scoring
Adaptive threshold calculation using statistical properties of current market
🚨 Important🚨
The ‘Auto’ mode intelligently selects the optimal preset based on real-time market conditions, if the visualization does not appear to the best of your liking then select the option in parenthesis next to the auto mode on the label in the oscillator in the settings panel.
🔧 Core Components
Statistical Foundation: Multiple statistical measures combined with weighted approach
Market Condition Analysis: Real-time detection of market states (trending, ranging, volatile)
Change Point Detection: Bayesian analysis for finding significant market structure shifts
Divergence System: Fractal-based pattern detection with quality assessment
Adaptive Visualization: Dynamic color schemes with context-appropriate settings
🔥 Key Features
The indicator provides comprehensive market analysis through:
Multi-statistical Oscillator: Combines Z-score, MAD, and fractal dimensions
Advanced Statistical Components: Includes skewness, kurtosis, and entropy analysis
Auto-preset System: Automatically selects optimal settings for current conditions
Fractal Divergence Analysis: Detects and grades quality of divergence patterns
Adaptive Thresholds: Dynamically adjusts overbought/oversold levels
🎨 Visualization
Color-coded Oscillator: Gradient-filled oscillator line showing intensity
Divergence Markings: Clear visualization of bullish and bearish divergences
Threshold Lines: Dynamic or fixed overbought/oversold levels
Preset Information: On-chart display of current market conditions
Multiple Color Schemes: Modern, Classic, Monochrome, and Neon themes
Classic
Modern
Monochrome
Neon
📖 Usage Guidelines
The indicator offers several customization options:
Market Condition Settings:
Preset Mode: Choose between Auto-detection or specific market condition presets
Color Theme: Select visual theme matching your chart style
Divergence Labels: Choose whether or not you’d like to see the divergence
✅ Best Use Cases:
Identify potential market reversals through statistical divergences
Detect changes in market structure before price confirmation
Filter trades based on current market condition (trending vs. ranging)
Find optimal entry and exit points using adaptive thresholds
Monitor shifts in market participation and momentum
⚠️ Limitations
Requires sufficient historical data for accurate statistical analysis
Auto-detection may lag during rapid market condition changes
Advanced statistical calculations have higher computational requirements
Manual preset selection may be required in certain transitional markets
💡 What Makes This Unique
Statistical Depth: Goes beyond traditional indicators with advanced statistical measures
Adaptive Intelligence: Automatically adjusts to current market conditions
Bayesian Analysis: Identifies statistically significant change points in market structure
Multi-factor Approach: Combines multiple statistical dimensions for confirmation
Fractal Divergence System: More robust than traditional divergence detection methods
🔬 How It Works
The indicator processes market data through four main components:
Market Condition Analysis:
Evaluates trend strength, volatility, and price patterns
Automatically selects optimal preset parameters
Adapts sensitivity based on current conditions
Statistical Oscillator:
Combines multiple statistical measures with weights
Normalizes values to consistent scale
Applies adaptive smoothing
Advanced Statistical Analysis:
Calculates higher-order statistical moments
Applies information-theoretic measures
Detects distribution anomalies
Divergence Detection:
Uses fractal theory to identify pivot points
Detects and scores divergence quality
Filters signals based on current market phase
💡 Note:
The Market Participation Index performs optimally when used across multiple timeframes for confirmation. Its statistical foundation makes it particularly valuable during market transitions and periods of changing volatility, where traditional indicators often fail to provide clear signals.
Liquidity + Fearzone + GreedZone [Combined]The Liquidity-Based Fear and Greed Indicator is a market sentiment tool designed to gauge investor behavior by analyzing liquidity trends. It tracks the balance between fear (low liquidity, risk aversion, and selling pressure) and greed (high liquidity, risk appetite, and buying momentum) in financial markets. By assessing factors such as trading volume, cash flow, and asset availability, the indicator provides a dynamic snapshot of whether market participants are driven by caution or exuberance, helping investors make informed decisions.
Xtudo CCAIndicador com 5 ma, 5 ema, banda de Bollinger, nuvens Ichimoku, SuperTrend, vwma, ADX, MFI, RSI, MACD
Engulfing Sweeps - Milana TradesEngulfing Sweeps
The Engulfing Sweeps Candle is a candlestick pattern that:
1)Takes liquidity from the previous candle’s high or low.
2)Fully engulfs previous candles upon closing.
3)Indicates strong buying or selling pressure.
4)Helps determine the bias of the next candle.
Logic Behind Engulfing Sweeps
If you analyze this candle on a lower timeframe, you’ll often see popular models like PO3 (Power of Three) or AMD (Accumulation – Manipulation – Distribution).
Once the candle closes, the goal is to enter a position on the retracement of the distribution phase.
How to Use Engulfing Sweeps?
Recommended Timeframes:
4H, Daily, Weekly – these levels hold significant liquidity.
Personally, I prefer 4H, as it provides a solid view of mid-term market moves.
Step1 - Identify Engulfing Sweep Candle
Step 2-Switch to a lower timeframe (15m or 5m).And you task identify optimal trade entry
Look for an entry pattern based on:
FVG (Fair Value Gap)
OB (Order Block)
FIB levels (0/0.25/0.5/ 0.75/ 1)
Wait for confirmation and take the trade.
Automating with TradingView Alerts
To avoid missing the pattern, you can set up alerts using a custom script. Once the pattern forms, TradingView will notify you so you can analyze the chart and take action. This approch helps me be more freedom
EMA & RSI Trading StrategyIn this strategy EMA 50 crosses EMA 100 from below and the RSI is above 50. It gives us proper buy and short signals. It works better on daily time frame. Back test before applying.
Color-Changing MAcolor-changing moving average indicator that helps identify buy/sell signals based on price position:
ICT PO3 Indicator This indicator hels to understand the Po3 Strategy. Never rely on it 100%. It is just an indicator.
DC & William%R IndicatorWilliam %R and DC Combined indicator. It will show you short sell and Long buy indication on Tchart on all time frames
Calculadora de Promedio Ponderadocalcula la cant de acciones necesarias a comprar , para igualar el precio de cotizacion de acuerdo a la ultima compra
Hourly Candle ShadingShades the first 15m of the hourly candle and then the second half of it (30-16m). Colors are adjustable.
Xfera Trading Bot Automation1. Objetivo da Automação
Esta automação é baseada em um trailing stop dinâmico calculado usando o ATR (Average True Range) . O objetivo é identificar pontos de entrada (compra e venda) e saída (fechamento) com base na relação entre o preço (src) e o trailing stop (xATRTrailingStop).
Compra : Quando o preço cruza acima do trailing stop.
Venda : Quando o preço cruza abaixo do trailing stop.
Fechamento Automático : Quando o preço reverte em relação ao trailing stop, todas as posições abertas são fechadas.
2. Lógica da Automação
(a) Cálculo do Trailing Stop
O trailing stop é calculado dinamicamente com base no ATR e no parâmetro a (sensibilidade). Aqui está como ele funciona:
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xATR = ta.atr(c) // Calcula o ATR com o período definido (input `c`)
nLoss = a * xATR // Define a distância do trailing stop com base na sensibilidade (`a`)
O ATR mede a volatilidade do mercado. Quanto maior o ATR, mais distante o trailing stop fica do preço, permitindo que a posição acompanhe movimentos maiores.
O parâmetro a ajusta a sensibilidade do trailing stop:
Valores menores (a = 1) tornam o trailing stop mais próximo do preço (mais sensível).
Valores maiores (a = 2) tornam o trailing stop mais distante do preço (menos sensível).
O trailing stop é recalculado a cada barra:
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xATRTrailingStop := src > nz(xATRTrailingStop , 0) ? src - nLoss : src + nLoss
Se o preço estiver acima do trailing stop anterior (src > xATRTrailingStop ), o trailing stop segue o preço subtraindo nLoss.
Se o preço estiver abaixo do trailing stop anterior (src < xATRTrailingStop ), o trailing stop segue o preço adicionando nLoss.
(b) Condições de Compra e Venda
As condições de compra e venda são baseadas em cruzamentos simples entre o preço (src) e o trailing stop (xATRTrailingStop):
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buyCondition = ta.crossover(src, xATRTrailingStop)
sellCondition = ta.crossunder(src, xATRTrailingStop)
Compra (buyCondition) : Ocorre quando o preço cruza acima do trailing stop.
Venda (sellCondition) : Ocorre quando o preço cruza abaixo do trailing stop.
Essas condições garantem que os sinais sejam claros e objetivos, evitando ruídos ou sinais falsos.
(c) Gestão de Posições
A gestão de posições é feita automaticamente pelo TradingView usando os comandos strategy.entry e strategy.close:
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if (buyCondition)
strategy.close("Sell") // Fecha posição de venda, se existir
strategy.entry("Buy", strategy.long) // Abre posição de compra
if (sellCondition)
strategy.close("Buy") // Fecha posição de compra, se existir
strategy.entry("Sell", strategy.short) // Abre posição de venda
Compra : Quando um sinal de compra é gerado, qualquer posição de venda (Sell) é fechada antes de abrir uma nova posição de compra (Buy).
Venda : Quando um sinal de venda é gerado, qualquer posição de compra (Buy) é fechada antes de abrir uma nova posição de venda (Sell).
(d) Fechamento Automático
Se o preço reverter em relação ao trailing stop, todas as posições abertas são fechadas automaticamente:
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if (close_position)
strategy.close_all(comment="Close Position")
Isso garante que você não fique exposto a grandes reversões no mercado.
3. Plotagem Visual
Para facilitar a análise dos sinais, o código inclui plotagens visuais:
Linha do Trailing Stop :
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plot(xATRTrailingStop, color=color.blue, title="Trailing Stop")
Uma linha azul representa o trailing stop no gráfico.
Marcadores de Sinais :
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plotshape(buyCondition, title='Buy Signal', text='Buy', style=shape.labelup, location=location.belowbar, color=color.new(color.green, 0), textcolor=color.new(color.white, 0), size=size.tiny)
plotshape(sellCondition, title='Sell Signal', text='Sell', style=shape.labeldown, location=location.abovebar, color=color.new(color.red, 0), textcolor=color.new(color.white, 0), size=size.tiny)
Marcadores verdes (Buy) aparecem abaixo das barras para sinais de compra.
Marcadores vermelhos (Sell) aparecem acima das barras para sinais de venda.
Barcolor :
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barcolor(src > xATRTrailingStop ? color.green : color.red)
As barras mudam de cor para verde (tendência de alta) ou vermelho (tendência de baixa) com base na relação entre o preço e o trailing stop.
4. Alertas Automáticos
Os alertas automáticos permitem que você receba notificações sempre que um sinal for gerado. Eles estão configurados no código:
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alertcondition(buyCondition, title='Buy Signal', message='🔔 SINAL DE COMPRA GERADO! 🟢 📊 Ativo: {{ticker}} ⏰ Timeframe: {{interval}} 💵 Preço Atual: {{close}} 🗓 Data/Hora: {{time}}')
alertcondition(sellCondition, title='Sell Signal', message='🔔 SINAL DE VENDA GERADO! 🔴 📊 Ativo: {{ticker}} ⏰ Timeframe: {{interval}} 💵 Preço Atual: {{close}} 🗓 Data/Hora: {{time}}')
Você pode configurar esses alertas no TradingView para receber notificações via Telegram, Discord, e-mail ou outros serviços.
5. Como Usar Essa Automação
Teste em Dados Históricos :
Use o modo "Estratégia" no TradingView para testar o desempenho da automação com dados históricos.
Avalie métricas como lucro líquido, drawdown máximo e taxa de acerto.
Ajuste os Parâmetros :
Experimente diferentes valores para a (sensibilidade) e c (período do ATR) para otimizar a estratégia para o ativo e timeframe escolhidos.
Configure Alertas :
Configure alertas no TradingView para receber notificações automáticas sempre que um sinal for gerado.
Integre com Plataformas de Trading :
Use os alertas para executar ordens automaticamente em plataformas como MetaTrader, 3Commas ou TradingView Alerts.
6. Considerações Finais
Esta automação é ideal para traders que desejam seguir tendências de mercado usando um trailing stop dinâmico.
Ela funciona bem em mercados com tendência clara, mas pode gerar sinais falsos em mercados laterais ou muito voláteis.
Certifique-se de usar stop loss e take profit adequados para proteger seu capital.
Se precisar de mais explicações ou quiser ajustar algo no código, é só pedir! 😊
Boa sorte com seus trades! 🚀📈
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D'Trade&Chill - SMC V2.01-1Price action and supply and demand is a key strategy use in trading. We wanted it to be easy and efficient for user to identify these zones, so the user can focus less on marking up charts and focus more on executing trades.
This indicator shows you supply and demand zones by using pivot points to show you the recent highs and the recent lows.
Features
This indicator includes some features relevant to SMC , these are highlighted below:
Full internal & swing market structure labeling in real-time
Swing Structure: Displays the swing structure labels & solid lines on the chart (BOS).
Supply & demand ( bullish & bearish )
Swing Points: Displays swing points labels on chart such as HH, HL, LH, LL.
Options to style the indicator to more easily display these concepts
White OB (supply): search for short opportunities
Blue OB (demand): search for long opportunities
Break of structure ( BOS )
For markets to move up and down a break in market structure must occur. A break in market structure occurs when the market begins to shift direction and break the previous HH and HL or HL and LL of the market. We also integrated the feature that you can see the BOS lines. In the indicator settings you can adjust the color of the label.
Copy từ tác giả FluidTrades - SMC Lite . Cảm Ơn tác giả đã có 1 chỉ báo tuyệt vời.
Settings
SwingHigh/Low Length: Allows the user to select Historical (default) or Present, which displays only recent data on the chart.
Supply/demand box width: Allows user to change the size of the supply and demand box
History to keep: allows the user to select how many most recent supply & demand box appear on the chart.
Visual settings
Show zig zag : allow user to see market patters within the market
Show price action labels: allow user to turn on/off the (swing points)
Supply box color : allow users to change the color of their supply box
Demand box color : allow users to change the color of their supply box
Bos label color : allow users to change the color of their BOS label
Poi label color : allow user to change the color of their POI label
Price action label : allow users to change the color of their swing points labels
Zig zag color : allow users to change the color of the zig/zag market patters
Warning
Never blindly take a trade on a supply/demand box - wait for a proper market structure to occur before considering a trade
Bollinger Bands MTF & Kalman Filter | Flux Charts📈 Multi-Timeframe Kalman Filtered Bollinger Bands Indicator
Introducing our MTF Kalman Filtered Bollinger Bands – a powerful multi-timeframe Bollinger Bands (BB) indicator enhanced with Kalman filtering for superior smoothing and trend analysis. This indicator dynamically adapts Bollinger Bands across multiple timeframes while incorporating volume-based gradient transparency to highlight significant price movements. This indicator is better optimized for lower timeframes.
❓ How to Interpret the Bands & Volume Gradient:
Our indicator combines Lower Timeframe (LTF) and Higher Timeframe (HTF) Bollinger Bands to provide a comprehensive trend analysis. It applies Kalman filtering to the LTF bands, ensuring smoother, noise-reduced signals. The color gradient and relative volume-based transparency offer deeper insights into price strength.
🔹 LTF Bollinger Bands: Shorter-period bands filtered with a Kalman smoothing algorithm, reducing lag and noise.
🔹 HTF Bollinger Bands: Traditional Bollinger Bands plotted on a higher timeframe, offering macro trend analysis.
🔹 Volume Gradient Transparency: The bands adjust their opacity based on relative buy/sell volume, allowing traders to assess momentum strength.
📌 How Does It Work?
1️⃣ Multi-Timeframe Bollinger Bands Calculation
The LTF BB uses Kalman filtering for a smoother price representation, helping to reduce false signals.
The HTF BB is EMA-smoothed for improved trend clarity.
2️⃣ Adaptive Gradient Transparency
The opacity of the fill color between the bands is determined by relative buy/sell volume.
Higher buy volume = stronger bullish signal (greener bands).
Higher sell volume = stronger bearish signal (redder bands).
3️⃣ Dynamic Trend Signals & Breakouts
Buy Signal: When price breaks below the HTF lower band and LTF bands start rising.
Sell Signal: When price breaks above the HTF upper band and LTF bands start falling.
⚙️ Settings & Customization:
🛠 LTF and HTF Bollinger Bands Settings:
Multiplier: The multiplier applied to the BB to determine the upper and lower bands
Length: Define the number of bars determines the BB calculations.
Custom Timeframe Selection: Choose from predefined options (e.g., 5m, 15m, 1H, 4H, etc).
🎨 Gradient & Transparency Settings:
Bullish/Bearish Color Options: Customize colors for uptrend and downtrend conditions.
Max & Min Opacity: Adjust the transparency levels based on volume intensity.
Solid vs. Gradient Mode: Choose between a gradient fill or a solid color mode for clarity.
📌 Recommended Settings for Optimal Use:
1️⃣ Timeframe Selection (LTF -> HTF):
1 min -> 5 min
2 min -> 5 min
3 min -> 15 min
5 min -> 15 min
15 min -> 1 hr
1 hr -> 4 hr
4 hr -> 1 day
2️⃣ Multiplier: Use 2.0 for LTF and 2.25 for HTF
3️⃣Length: Use a length of 20 - 30 bars
🚀 Why Use This Indicator?
✅ Multi-Timeframe Bollinger Bands with Kalman Filtering – Ideal for traders looking for reduced lag and clearer trend signals.
✅ Volume-Based Transparency – See momentum shifts instantly with adaptive opacity.
✅ Dynamic Buy & Sell Signals – Alerts based on price action + volume trends.
✅ Customizable for Any Strategy – Adjust colors, timeframes, and filtering options for personalized trading.
Sharpe Ratio BTC vs GoldIt calculates the Sharpe Ratio for Bitcoin (BTCUSDT) and Gold (XAUUSD).
Uses log returns to compute risk-adjusted returns.
Takes a 30-day lookback period by default.
Risk-free rate is set at 3% annualized, converted to daily.
Plots both Sharpe Ratios on the same chart: Bitcoin (Blue line), Gold (Red line)
Correlation Table Small MonitorCorrelation table for small Monitor (separato in 2 Tabelle)
Uno strumento avanzato per l'analisi delle correlazioni in tempo reale
Funzionalità Principali:
1. **Monitoraggio Multi-Asset**
Analizza **32 coppie/strumenti** simultaneamente, includendo:
- Forex maggiori e incroci (EURUSD, GBPJPY, ecc.)
- Materie prime (Oro, Argento, Petrolio WTI e Brent)
- Coppie esotiche (NZDCAD, AUDNZD, ecc.)
2.Correlazione Dinamica
Calcola la correlazione rispetto allo strumento principale visualizzato sul grafico:
- Periodo regolabile (default: 50 candele)
- Formula matematica basata sulla covarianza
- Risultati in percentuale (-100% a +100%)
3. Visualizzazione Intuitiva
- Tabella verticale con codifica colore:
- **Verde**: Correlazione positiva (↑↑)
- **Rosso**: Correlazione negativa (↑↓)
- **Bianco**: Neutralità (-0.1 < correlazione < +0.1)
- Intensità del colore proporzionale alla forza della correlazione
4. Aggiornamento in Tempo Reale
- Dati sincronizzati con il timeframe selezionato
- Posizionamento non invasivo (angolo inferiore destro)
Componenti Tecnici:
- input Personalizzabili:
- Simboli modificabili direttamente dalle impostazioni
- Lunghezza periodo di correlazione regolabile
- Supporto per simboli personalizzati (es. CFD su materie prime)
- Logica di Calcolo:
```pinescript
correlation = covarianza / √(varianza1 * varianza2)
```
- Utilizza SMA per smoothing
- Normalizzazione statistica per risultati comparabili
Use Case Pratici:
1. Diversificazione del Portafoglio
Identifica asset non correlati per ridurre il rischio.
2. Conferma di Trend
Verifica co-movimenti con strumenti correlati (es. EURUSD e GBPUSD).
3. Hedging Strategico
Trova correlazioni inverse per operazioni di copertura (es. Oro vs USD).
4. Analisi Intermarket
Monitora relazioni tra valute e materie prime (es. CAD vs petrolio).
Personalizzazione:
- Aggiungi/rimuovi coppie modificando gli input `pair1`-`pair32`
- Modifica la soglia di neutralità (`neutral_threshold`)
- Regola l'opacità dei colori modificando `intensity`
Limitazioni:
- Dipendente dalla qualità dei dati del broker
- Le correlazioni storiche non garantiscono performance future
Ideale per: Swing trader, portafogli multi-asset, analisti macro. Offre una visione d'insieme rapida delle relazioni di mercato senza bisogno di multipli grafici aperti.
Consiglio:
In time frame inferiori a M15, si consiglia di aumentare i periodi per evitare un rumore statistico eccessivo. (Es. 80 - 100)
