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[teachershim] draw sma 9/25/50/100/200/400📌 Description — draw sma 9/25/50/100/200/400
This indicator displays Simple Moving Averages (SMA) for periods 9, 25, 50, 100, 200, and 400 on the chart.
It also marks the last confirmed bar’s SMA values with circular dots positioned to the right by a user-defined offset,
and labels each dot with the SMA period number for quick visual reference.
🔹 Features
SMA Lines
Plots SMA lines for periods 9 / 25 / 50 / 100 / 200 / 400 in distinct colors and thickness.
Last Value Markers
Adds circular markers (dots) at the SMA value of the last confirmed bar, shifted right by the specified offset.
SMA Period Labels
Displays the SMA period number (e.g., "9", "25", "50") just above each dot.
Customizable Parameters
Right offset for marker placement.
Vertical gap between marker and label (in percentage of chart range).
🔹 Parameters
Right Offset: Number of bars to place the marker/label to the right of the last bar.
Text Vertical Gap (%): Percentage offset to position the label above the dot.
🔹 Colors & Line Thickness
SMA 9 → Teal, thickness 1
SMA 25 → Orange, thickness 2
SMA 50 → Blue, thickness 2
SMA 100 → Purple, thickness 1
SMA 200 → Red, thickness 2
SMA 400 → Gray, thickness 1
🔹 Use Cases
Quickly identify key support/resistance levels across multiple SMA periods.
Instantly see the current SMA values without hovering over the chart.
Monitor SMA alignment and spacing for trend analysis or trading setups.
💡 Notes
If the right offset is too large, ensure your chart’s right margin is wide enough to display the markers.
max_labels_count in Pine Script limits how many labels can be displayed at once.
If you want, I can also make you a shorter, more concise “marketplace style” version for TradingView’s public library so it’s punchier and attracts more clicks.
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Strategi
Average VolatilityThis script offers a unique and practical approach to visualizing average volatility by calculating a simple moving average of the daily high-low ranges, directly reflecting price fluctuations over a user-defined period. Unlike standard volatility indicators, it provides customizable options such as adjustable period length, display of absolute and percentage volatility values, and flexible text formatting for clear and tailored insights. This makes it a valuable tool for traders seeking to better understand market volatility trends and manage risk more effectively. Its straightforward visualization supports informed decision-making across various instruments and timeframes.
The indicator displays the average volatility over a configurable period as a bar chart (originally designed for daily intervals). It visualizes the price range (difference between high and low) across a selectable number of periods, as well as its ratio to the closing price, offering various customization options.
For many traders, assets with daily moves of 1% or more may offer greater profit opportunities, especially for short-term trading strategies. Instruments with lower volatility are generally less favored and often not recommended in such approaches due to reduced trading potential. Please note that higher volatility also implies increased risk, and potential losses can be significant. Always use proper risk management.
Detailed description:
The script calculates average volatility as a simple moving average of the high-low ranges (default: 5 periods, intended for daily timeframes). Volatility can be shown as either a bar or line chart. Users can choose to display the absolute volatility values and/or the volatility expressed as a percentage of the closing price. Text size and spacing between labels are adjustable to ensure readability across different instruments. Additionally, the last (unconfirmed) bar can be shown or hidden, since its value depends on the current price. Overall, the script provides a flexible and clear visualization of an instrument’s volatility.
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Russian:
Индикатор отображает среднюю волатильность как простое скользящее среднее диапазонов «максимум-минимум» (по умолчанию 5 периодов, предназначено для дневных таймфреймов). Волатильность может отображаться в виде столбчатой или линейной диаграммы. Пользователи могут выбрать отображение абсолютных значений волатильности и/или волатильности, выраженной в процентах от цены закрытия. Размер текста и расстояния между надписями регулируются для удобочитаемости на разных инструментах. Кроме того, последний (неподтверждённый) столбец можно показать или скрыть, так как его значение зависит от текущей цены. В общем, скрипт обеспечивает гибкое и наглядное отображение волатильности инструмента.
Активы с волатильностью от 1% и выше дают больше возможностей для краткосрочной торговли, но риск также выше. Инструменты с низкой волатильностью не рекомендуются для таких подходов из-за ограниченного торгового потенциала и сложности в реализации прибыльных сделок. Всегда применяйте риск-менеджмент.
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Spanish:
El script calcula la volatilidad promedio como un promedio móvil simple de las diferencias entre máximos y mínimos (por defecto 5 periodos, pensado para intervalos diarios). La volatilidad puede mostrarse como gráfico de barras o de líneas. El usuario puede elegir mostrar los valores absolutos de la volatilidad y/o los valores expresados en porcentaje respecto al precio de cierre. El tamaño del texto y el espacio entre las etiquetas son ajustables para garantizar la legibilidad en diferentes instrumentos. Además, se puede mostrar u ocultar la última barra (no confirmada), ya que su valor depende del precio actual. En conjunto, el script proporciona una visualización flexible y clara de la volatilidad del instrumento.
Los activos con una volatilidad del 1% o más ofrecen mayores oportunidades para el trading a corto plazo, pero también conllevan un mayor riesgo. Los instrumentos con baja volatilidad no se recomiendan para este tipo de estrategias debido a su limitado potencial de trading y la dificultad para obtener ganancias. Siempre utilice una gestión de riesgos adecuada.
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Adjustable Percentage Range Moving Average - Add'l LinesThe Adjustable Percentage Range Moving Average (APRMA), originally developed by @ReallyWendy, is a versatile PineScript indicator designed for traders and market analysts to analyze market volatility and identify trends dynamically. Building on the original concept, this updated version plots a central moving average (MA) with four customizable percentage-based range bands around it. Users can select the MA type (SMA, EMA, HMA, RMA, SWMA, TMA, WMA, VWMA), timeframe, and length, tailoring the indicator to their trading style. Each range band (upper and lower) is calculated as a percentage offset from the MA, with adjustable colors and transparency settings for enhanced visual clarity. Extension lines project the latest values forward, with customizable styles (solid, dashed, dotted). The indicator includes toggleable display options for the MA and each range pair, making it an effective tool for identifying price ranges, support/resistance levels, and trend dynamics.
Credit to @ReallyWendy for the foundational concept. Penunjuk
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Breakout Range Signal with Quality Analysis [Dova Lazarus]📌 Breakout Range Signal with Quality Analysis
🎓 Training-focused indicator for breakout logic, SL & TP behavior and signal quality assessment
🔷 PURPOSE
This tool identifies breakout candles from a calculated channel range and visually simulates entries, stop losses, and take profits, providing live and historical performance metrics.
⚙️ MAIN SETTINGS
1️⃣ Channel Setup
channel_length = 10 → how many candles are averaged to form channel boundaries
channel_multiplier = 0.0 → adds expansion above/below the base channel
channel_smoothing_type = SMA → smoothing method for high/low averaging
📊 The channel consists of two moving averages: one from highs, the other from lows. When expanded (via multiplier), it creates a buffer range for breakout validation.
2️⃣ Signal Detection
Body > Channel % = 50 → a breakout candle's body must exceed 150% of the channel width
Signal Mode:
• Weak → every valid breakout candle is highlighted
• Strong → only the first signal in a sequence is shown (helps reduce noise)
🟦 Bullish signals (blue):
• Candle opens inside the channel
• Closes above the channel
• Body is large enough
• Optional: confirms with trend (if enabled)
🟨 Bearish signals (yellow):
• Candle opens inside the channel
• Closes below the channel
• Body is large enough
• Optional: confirms with trend
3️⃣ Trend Filter (optional)
Enabled via checkbox
Uses a higher timeframe MA to filter signals
Bullish signals are allowed only if price is below the trend MA
Bearish signals only if price is above it
⏱️ trend_timeframe = 1D (typically set higher than the chart's timeframe)
🟢 Trend line is plotted if enabled
🎯 ENTRY, STOP LOSS & TAKE PROFIT LOGIC
SL and TP are based on channel width, not fixed pip/tick size:
📍 Entry Price = close of the breakout candle
🛑 Stop Loss:
• Bullish → below the lower channel border (minus offset)
• Bearish → above the upper channel border (plus offset)
🎯 Take Profit:
• Bullish → entry + channel width × profit multiplier
• Bearish → entry − channel width × profit multiplier
You can control:
Profit Target Multiplier (e.g., 1.0 → TP = 1×channel width)
Stop Loss Target Multiplier (e.g., 0.5 → SL = 0.5×channel width)
Signals to Show = how many historical SL/TP setups to display
📈 Lines and labels ("TP", "SL") are drawn on the chart for clarity.
🧪 QUALITY ANALYSIS MODULE
If enabled, the indicator will:
Track each new signal (entry, SL, TP)
Analyze outcomes:
• Win = TP hit before SL
• Loss = SL hit before TP
• Expired = signal unresolved after N bars
Display statistics in a table (top-right corner):
📋 Table fields:
✅ Overall win rate
📈 Bullish win rate
📉 Bearish win rate
🔢 Total signals
🕓 Pending (still active trades)
Maximum bars to wait for outcome is customizable (max_bars_to_analyze).
📐 VISUALIZATION TOOLS
TP / SL lines per signal
Labels “TP” and “SL”
Optional channel lines and trendline for better context
Colored bars for valid signals (blue/yellow)
📌 BEST USE CASES
Understand how breakout signals are formed
Learn SL/TP logic based on dynamic range
Test how volatility affects trade outcomes
Use as a visual simulation of trade behavior over time Penunjuk
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