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M-oscillator

Multi-Timeframe Bollinger Band PositionBeta version. My hope is to optimize the settings for this indicator and reintroduce it as a "strategy" with suggested position entry and exit points shown in the price pane. Any feedback is appreciated. Overview This indicator is an oscillator that measures the normalized position of the price relative to Bollinger Bands across multiple timeframes. It takes the price's position within the Bollinger Bands (calculated on different timeframes) and averages those positions to create a single value that oscillates between 0 and 1. This value is then plotted as the oscillator, with reference lines and colored regions to help interpret the price's relative strength or weakness. How It Works Bollinger Band Calculation: The indicator uses a custom function f_getBBPosition() to calculate the position of the price within Bollinger Bands for a given timeframe. Price Position Normalization: For each timeframe, the function normalizes the price's position between the upper and lower Bollinger Bands. It calculates three positions based on the high, low, and close prices of the requested timeframe: pos_high = (High - Lower Band) / (Upper Band - Lower Band) pos_low = (Low - Lower Band) / (Upper Band - Lower Band) pos_close = (Close - Lower Band) / (Upper Band - Lower Band) If the upper band is not greater than the lower band or if the data is invalid (e.g., na), it defaults to 0.5 (the midline). The average of these three positions (avg_pos) represents the normalized position for that timeframe, ranging from 0 (at the lower band) to 1 (at the upper band). Multi-Timeframe Averaging: The indicator fetches Bollinger Band data from four customizable timeframes (default: 30min, 60min, 240min, daily) using request.security() with lookahead=barmerge.lookahead_on to get the latest available data. It calculates the normalized position (pos1, pos2, pos3, pos4) for each timeframe using f_getBBPosition(). These four positions are then averaged to produce the final avg_position:avg_position = (pos1 + pos2 + pos3 + pos4) / 4 This average is the oscillator value, which is plotted and typically oscillates between 0 and 1. Moving Averages: Two optional moving averages (MA1 and MA2) of the avg_position can be enabled, calculated using simple moving averages (ta.sma) with customizable lengths (default: 5 and 10). These can be potentially used for MA crossover strategies. What Is Being Averaged? The oscillator (avg_position) is the average of the normalized price positions within the Bollinger Bands across the four selected timeframes. Specifically:It averages the avg_pos values (pos1, pos2, pos3, pos4) calculated for each timeframe. Each avg_pos is itself an average of the normalized positions of the high, low, and close prices relative to the Bollinger Bands for that timeframe. This multi-timeframe averaging smooths out short-term fluctuations and provides a broader perspective on the price's position within the volatility bands. Interpretation: 0.0 The price is at or below the lower Bollinger Band across all timeframes (indicating potential oversold conditions). 0.15: A customizable level (green band) which can be used for exiting short positions or entering long positions. 0.5: The midline, where the price is at the average of the Bollinger Bands (neutral zone). 0.85: A customizable level (orange band) which can be used for exiting long positions or entering short positions. 1.0: The price is at or above the upper Bollinger Band across all timeframes (indicating potential overbought conditions). The colored regions and moving averages (if enabled) help identify trends or crossovers for trading signals. Example: If the 30min timeframe shows the close at the upper band (position = 1.0), the 60min at the midline (position = 0.5), the 240min at the lower band (position = 0.0), and the daily at the upper band (position = 1.0), the avg_position would be:(1.0 + 0.5 + 0.0 + 1.0) / 4 = 0.625 This value (0.625) would plot in the orange region (between 0.85 and 0.5), suggesting the price is relatively strong but not at an extreme. Notes: The use of lookahead=barmerge.lookahead_on ensures the indicator uses the latest available data, making it more real-time, though its effectiveness depends on the chart timeframe and TradingView's data feed. The indicator’s sensitivity can be adjusted by changing bb_length ("Bollinger Band MA Length" in the Input tab), bb_mult ("Bollinger Band Standard Deviation," also in the Input tab), or the selected timeframes.
Pine Script® indicator
by chicagonativeson
Screener based on Profitunity strategy for multiple timeframes Screener based on Profitunity strategy by Bill Williams for multiple timeframes (max 5, including chart timeframe) and customizable symbol list. The screener analyzes the Alligator and Awesome Oscillator indicators, Divergent bars and high volume bars. The maximum allowed number of requests (symbols and timeframes) is limited to 40 requests, for example, for 10 symbols by 4 requests of different timeframes. Therefore, the indicator automatically limits the number of displayed symbols depending on the number of timeframes for each symbol, if there are more symbols than are displayed in the screener table, then the ordinal numbers are displayed to the left of the symbols, in this case you can display the next group of symbols by increasing the value by 1 in the "Show tickers from" field, if the "Group" field is enabled, or specify the symbol number by 1 more than the last symbol in the screener table. 👀 When timeframe filtering is applied, the screener table displays only the columns of those timeframes for which the filtering value is selected, which allows displaying more symbols. For each timeframe, in the "TIMEFRAMES > Prev" field, you can enable the display of data for the previous bar relative to the last (current) one, if the market is open for the requested symbol. In the "TIMEFRAMES > Y" field, you can enable filtering depending on the location of the last five bars relative to the Alligator indicator lines, which are designated by special symbols in the screener table: ⬆️ — if the Alligator is open upwards (Lips > Teeth > Jaw) and none of the bars is closed below the Lips line; ↗️ — if one of the bars, except for the penultimate one, is closed below Lips, or two bars, except for the last one, are closed below Lips, or the Alligator is open upwards only below four bars, but none of the bars is closed below Lips; ⬇️ — if the Alligator is open downwards (Lips < Teeth < Jaw), but none of the bars is closed above Lips; ↘️ — if one of the bars, except the penultimate one, is closed above the Lips, or two bars, except the last one, are closed above the Lips, or the Alligator is open down only above four bars, but none of the bars are closed above the Lips; ➡️ — in other cases, including when the Alligator lines intersect and one of the bars is closed behind the Lips line or two bars intersect one of the Alligator lines. In the "TIMEFRAMES > Show bar change value for TF" field, you can add a column to the right of the selected timeframe column with the percentage change between the closing price of the last bar (current) and the closing price of the previous bar ((close – previous close) / previous close * 100). Depending on the percentage value, the background color of the screener table cell will change: dark red if <= -3%; red if <= -2%, light red if <= -0.5%; dark green if >= 3%; green if >= 2%; light green if >= 0.5%. For each timeframe, the screener table displays the symbol of the latest (current) bar, depending on the closing price relative to the bar's midpoint ((high + low) / 2) and its location relative to the Alligator indicator lines: ⎾ — the bar's closing price is above its midpoint; ⎿ — the bar's closing price is below its midpoint; ├ — the bar's closing price is equal to its midpoint; 🟢 — Bullish Divergent bar, i.e. the bar's closing price is above its midpoint, the bar's high is below all Alligator lines, the bar's low is below the previous bar's low; 🔴 — Bearish Divergent bar, i.e. the bar's closing price is below its midpoint, the bar's low is above all Alligator lines, the bar's high is above the previous bar's high. When filtering is enabled in the "TIMEFRAMES > Filtering by Divergent bar" field, the data in the screener table cells will be displayed only for those timeframes that have a Divergent bar. A high bar volume signal is also displayed — 📶/📶² if the bar volume is greater than 40%/70% of the average volume value calculated using a simple moving average (SMA) in the 140 bar interval from the last bar. In the indicator settings in the "SYMBOL LIST" field, each ticker (for example: OANDA:SPX500USD) must be on a separate line. If the market is closed, then the data for requested symbols will be limited to the time of the last (current) bar on the chart, for example, if the current symbol was traded yesterday, and the requested symbol is traded today, when requesting data for an hourly timeframe, the last bar will be for yesterday, if the timeframe of the current chart is not higher than 1 day. Therefore, by default, a warning will be displayed on the chart instead of the screener table that if the market is open, you must wait for the screener to load (after the first price change on the current chart), or if the highest timeframe in the screener is 1 day, you will be prompted to change the timeframe on the current chart to 1 week, if the screener requests data for the timeframe of 1 week, you will be prompted to change the timeframe on the current chart to 1 month, or switch to another symbol on the current chart for which the market is open (for example: BINANCE:BTCUSDT), or disable the warning in the field "SYMBOL LIST > Do not display screener if market is close". The number of the last columns with the color of the AO indicator that will be displayed in the screener table for each timeframe is specified in the indicator settings in the "AWESOME OSCILLATOR > Number of columns" field. For each timeframe, the direction of the trend between the price of the highest and lowest bars in the specified range of bars from the last bar is displayed — ↑ if the trend is up (the highest bar is to the right of the lowest), or ↓ if the trend is down (the lowest bar is to the right of the highest). If there is a divergence on the AO indicator in the specified interval, the symbol ∇ is also displayed. The average volume value is also calculated in the specified interval using a simple moving average (SMA). The number of bars is set in the indicator settings in the "INTERVAL FOR HIGHEST AND LOWEST BARS > Bars count" field. In the indicator settings in the "STYLE" field you can change the position of the screener table relative to the chart window, the background color, the color and size of the text. *** Скринер на основе стратегии Profitunity Билла Вильямса для нескольких таймфреймов (максимум 5, включая таймфрейм графика) и настраиваемого списка символов. Скринер анализирует индикаторы Alligator и Awesome Oscillator, Дивергентные бары и бары с высоким объемом. Максимально допустимое количество запросов (символы и таймфреймы) ограничено 40 запросами, например, для 10 символов по 4 запроса разных таймфреймов. Поэтому в индикаторе автоматически ограничивается количество отображаемых символов в зависимости от количества таймфреймов для каждого символа, если символов больше чем отображено в таблице скринера, то слева от символов отображаются порядковые номера, в таком случае можно отобразить следующую группу символов, увеличив значение на 1 в настройках индикатора поле "Show tickers from", если включено поле "Group", или указать номер символа на 1 больше, чем последний символ в таблице скринера. 👀 Когда применяется фильтрация по таймфрейму, в таблице скринера отображаются только столбцы тех таймфреймов, для которых выбрано значение фильтрации, что позволяет отображать большее количество символов. Для каждого таймфрейма в настройках индикатора в поле "TIMEFRAMES > Prev" можно включить отображение данных для предыдущего бара относительно последнего (текущего), если для запрашиваемого символа рынок открыт. В поле "TIMEFRAMES > Y" можно включить фильтрацию, в зависимости от расположения последних пяти баров относительно линий индикатора Alligator, которые обозначаются специальными символами в таблице скринера: ⬆️ — если Alligator открыт вверх (Lips > Teeth > Jaw) и ни один из баров не закрыт ниже линии Lips; ↗️ — если один из баров, кроме предпоследнего, закрыт ниже Lips, или два бара, кроме последнего, закрыты ниже Lips, или Alligator открыт вверх только ниже четырех баров, но ни один из баров не закрыт ниже Lips; ⬇️ — если Alligator открыт вниз (Lips < Teeth < Jaw), но ни один из баров не закрыт выше Lips; ↘️ — если один из баров, кроме предпоследнего, закрыт выше Lips, или два бара, кроме последнего, закрыты выше Lips, или Alligator открыт вниз только выше четырех баров, но ни один из баров не закрыт выше Lips; ➡️ — в остальных случаях, в то числе когда линии Alligator пересекаются и один из баров закрыт за линией Lips или два бара пересекают одну из линий Alligator. В поле "TIMEFRAMES > Show bar change value for TF" можно добавить справа от выбранного столбца таймфрейма столбец с процентным изменением между ценой закрытия последнего бара (текущего) и ценой закрытия предыдущего бара ((close – previous close) / previous close * 100). В зависимости от величины процента будет меняться цвет фона ячейки таблицы скринера: темно-красный, если <= -3%; красный, если <= -2%, светло-красный, если <= -0.5%; темно-зеленый, если >= 3%; зеленый, если >= 2%; светло-зеленый, если >= 0.5%. Для каждого таймфрейма в таблице скринера отображается символ последнего (текущего) бара, в зависимости от цены закрытия относительно середины бара ((high + low) / 2) и расположения относительно линий индикатора Alligator: ⎾ — цена закрытия бара выше его середины; ⎿ — цена закрытия бара ниже его середины; ├ — цена закрытия бара равна его середине; 🟢 — Бычий Дивергентный бар, т.е. цена закрытия бара выше его середины, максимум бара ниже всех линий Alligator, минимум бара ниже минимума предыдущего бара; 🔴 — Медвежий Дивергентный бар, т.е. цена закрытия бара ниже его середины, минимум бара выше всех линий Alligator, максимум бара выше максимума предыдущего бара. При включении фильтрации в поле "TIMEFRAMES > Filtering by Divergent bar" данные в ячейках таблицы скринера будут отображаться только для тех таймфреймов, где есть Дивергентный бар. Также отображается сигнал высокого объема бара — 📶/📶², если объем бара больше чем на 40%/70% среднего значения объема, рассчитанного с помощью простой скользящей средней (SMA) в интервале 140 баров от последнего бара. В настройках индикатора в поле "SYMBOL LIST" каждый тикер (например: OANDA:SPX500USD) должен быть на отдельной строке. Если рынок закрыт, то данные для запрашиваемых символов будут ограничены временем последнего (текущего) бара на графике, например, если текущий символ торговался последний день вчера, а запрашиваемый символ торгуется сегодня, при запросе данных для часового таймфрейма, последний бар будет за вчерашний день, если таймфрейм текущего графика не выше 1 дня. Поэтому по умолчанию на графике будет отображаться предупреждение вместо таблицы скринера о том, что если рынок открыт, то необходимо дождаться загрузки скринера (после первого изменения цены на текущем графике), или если в скринере самый высокий таймфрейм 1 день, то будет предложено изменить на текущем графике таймфрейм на 1 неделю, если в скринере запрашиваются данные для таймфрейма 1 неделя, то будет предложено изменить на текущем графике таймфрейм на 1 месяц, или же переключиться на другой символ на текущем графике, для которого рынок открыт (например: BINANCE:BTCUSDT), или отключить предупреждение в поле "SYMBOL LIST > Do not display screener if market is close". Количество последних столбцов с цветом индикатора AO, которые будут отображены в таблице скринера для каждого таймфрейма, указывается в настройках индикатора в поле "AWESOME OSCILLATOR > Number of columns". Для каждого таймфрейма отображается направление тренда между ценой самого высокого и самого низкого баров в указанном интервале баров от последнего бара — ↑, если тренд направлен вверх (самый высокий бар справа от самого низкого), или ↓, если тренд направлен вниз (самый низкий бар справа от самого высокого). Если есть дивергенция на индикаторе AO в указанном интервале, то также отображается символ — ∇. В указанном интервале также рассчитывается среднее значение объема с помощью простой скользящей средней (SMA). Количество баров устанавливается в настройках индикатора в поле "INTERVAL FOR HIGHEST AND LOWEST BARS > Bars count". В настройках индикатора в поле "STYLE" можно изменить положение таблицы скринера относительно окна графика, цвет фона, цвет и размер текста.
Pine Script® indicator
by grigorykov
Capiba Custom RSI with Divergences v2 🇬🇧 English Summary This indicator is an enhanced and customizable version of the classic RSI, designed to provide clearer and more powerful trading signals. It combines an alternative, more price-sensitive RSI calculation with an automatic divergence detection, which is one of the most effective tools for predicting trend reversals and finding high-probability entry and exit points. Built upon the compilation of knowledge and open-source codes from the community, this script has been refined to be an all-in-one tool for traders who base their strategies on momentum and trend exhaustion. Key Features and How to Use Ultimate RSI and Signal Line (Momentum) What it is: The main indicator (white line) is an RSI variation that reacts more dynamically to changes in price volatility. It is accompanied by a signal line (orange, by default), which is a moving average of the RSI itself, serving to smooth the indicator and generate crossover signals. How to use for Entries/Exits: Buy Signal (Short-Term): Crossover of the RSI line (white) above the signal line (orange). Sell Signal (Short-Term): Crossover of the RSI line (white) below the signal line (orange). These are momentum signals, ideal for confirming a trend or for scalping. Automatic Divergence Detection (Reversal Signals) This is the most powerful feature of the indicator. A divergence occurs when the price moves in one direction and the momentum indicator moves in the opposite direction, signaling a likely exhaustion of the current trend. Bullish Divergence (Green Line): What it is: The price makes a lower low, but the RSI makes a higher low. Meaning: Selling pressure is decreasing. It is a strong signal of a potential market bottom and an excellent entry opportunity for a long position. Bearish Divergence (Red Line): What it is: The price makes a higher high, but the RSI makes a lower high. Meaning: Buying pressure is losing strength. It is a strong signal of a potential market top and an excellent exit opportunity for a long position or an entry for a short position. Customizable Overbought & Oversold Levels The horizontal lines (default 80 and 20) and the colored areas show when the asset is overextended to the upside (overbought) or downside (oversold), helping to contextualize the divergence and crossover signals. Recommended Strategy For maximum effectiveness, combine the signals: High-Probability Entry (Buy): Look for a Bullish Divergence (green line) forming in the oversold zone. Confirm the entry when the RSI line crosses above its signal line. High-Probability Exit (Sell): Look for a Bearish Divergence (red line) forming in the overbought zone. Confirm the exit or new short entry when the RSI line crosses below its signal line. Acknowledgements This indicator was developed by compiling and customizing excellent open-source ideas and codes shared by the TradingView community. Special thanks to everyone who contributes to the advancement of technical analysis.
Pine Script® indicator
by guilhermecapiba
Bollinger Bands % | QuantEdgeB📊 Introducing Bollinger Bands % (BB%) by QuantEdgeB 🛠️ Overview BB% | QuantEdgeB is a volatility-aware momentum tool that maps price within a Bollinger envelope onto a normalized scale. By letting you choose the base moving average (SMA, EMA, DEMA, TEMA, HMA, ALMA, EHMA, THMA, RMA, WMA, VWMA, T3, LSMA) and even Heikin-Ashi sources, it adapts to your style while keeping readings consistent across symbols and timeframes. Clear thresholds and color-coded visuals make it easy to spot emerging strength, fading moves, and potential mean-reversions. ✨ Key Features • 🔹 Flexible Baseline Pick from 12 MA types (plus Heikin-Ashi source option) to tailor responsiveness and smoothness. • 🔹 Normalized Positioning Price is expressed as a percentage of the band range, yielding an intuitive 0–100 style read (can exceed in extreme trends). • 🔹 Actionable Thresholds Default Long 55 / Short 45 levels provide simple, objective triggers. • 🔹 Visual Clarity Color-coded candles, shaded OB/OS zones, and adaptive color themes speed up decision-making. • 🔹 Ready-to-Alert Built-in alerts for long/short transitions. 📐 How It Works 1️⃣ Band Construction A moving average (your choice) defines the midline; volatility (standard deviation) builds upper/lower bands. 2️⃣ Normalization The indicator measures where price sits between the lower and upper band, scaling that into a bounded oscillator (BB%). 3️⃣ Signal Logic • ✅ Long when BB% rises above 55 (strength toward the top of the envelope). • ❌ Short when BB% falls below 45 (weakness toward the bottom). 4️⃣ OB/OS Context Shaded regions above/below typical ranges highlight exhaustion and potential snap-backs. ⚙️ Custom Settings • Base MA Type: SMA, EMA, DEMA, TEMA, HMA, ALMA, EHMA, THMA, RMA, WMA, VWMA, T3, LSMA • Source Mode: Classic price or Heikin-Ashi (close/open/high/hlc3) • Base Length: default 40 • Band Width: standard deviation-based (2× SD by default) • Long / Short Thresholds: defaults 55 / 45 • Color Mode: Alpha, MultiEdge, TradingSuite, Premium, Fundamental, Classic, Warm, Cold, Strategy • Candles & Labels: optional candle coloring and signal markers 👥 Ideal For ✅ Trend Followers — Ride strength as price compresses near the upper band. ✅ Swing/Mean-Reversion Traders — Fade extremes when BB% stretches into OB/OS zones. ✅ Multi-Timeframe Analysts — Compare band position consistently across periods. ✅ System Builders — Use BB% as a normalized feature for strategies and filters. 📌 Conclusion BB% | QuantEdgeB delivers a clean, normalized read of price versus its volatility envelope—adaptable via rich MA/source options and easy to automate with thresholds and alerts. 🔹 Key Takeaways: 1️⃣ Normalized view of price inside the volatility bands 2️⃣ Flexible baseline (12+ MA choices) and Heikin-Ashi support 3️⃣ Straightforward 55/45 triggers with clear visual context 📌 Disclaimer: Past performance is not indicative of future results. No strategy guarantees success. 📌 Strategic Advice: Always backtest, tune parameters, and align with your risk profile before live trading.
Pine Script® indicator
by QuantEdgeB
MVRV and RSI Std DevThis indicator provides a comprehensive, long-term view of market risk and opportunity for Bitcoin by combining fundamental on-chain data with classic momentum analysis. How It Works: The oscillator's value is calculated by multiplying two key metrics: MVRV Ratio: An on-chain metric that indicates if the market price is "fair," "overvalued," or "undervalued" relative to the average price at which all coins last moved. Weekly RSI: The standard Relative Strength Index on a weekly timeframe to measure long-term market momentum and identify overbought/oversold conditions. Key Features: Adaptive Risk Bands: Instead of fixed "overbought/oversold" levels, this indicator uses dynamic bands based on a long-term 4 year moving average and standard deviation. These bands automatically adjust to the market's changing volatility and cyclical nature, ensuring the risk/reward zones remain relevant over time. Gradient Coloring: The oscillator line is colored on a smooth gradient from deep green (high reward/low risk) to bright red (high risk/low reward). This provides an intuitive, at-a-glance visualization of the market's "temperature."
Pine Script® indicator
by wjstienstra
Adaptive MVRV & RSI Strategy V6 (Dynamic Thresholds)Strategy Explanation This is an advanced Dollar-Cost Averaging (DCA) strategy for Bitcoin that aims to adapt to long-term market cycles and changing volatility. Instead of relying on fixed buy/sell signals, it uses a dynamic, weighted approach based on a combination of on-chain data and classic momentum. Core Components: Dual-Indicator Signal: The strategy combines two powerful indicators for a more robust signal: MVRV Ratio: An on-chain metric to identify when Bitcoin is fundamentally over or undervalued relative to its historical cost basis. Weekly RSI: A classic momentum indicator to gauge long-term market strength and identify overbought/oversold conditions. Dynamic, Self-Adjusting Thresholds: The core innovation of this strategy is that it avoids fixed thresholds (e.g., "sell when RSI is 70"). Instead, the buy and sell zones are dynamically calculated based on a long-term (2-year) moving average and standard deviation of each indicator. This allows the strategy to automatically adapt to Bitcoin's decreasing volatility and changing market structure over time. Weighted DCA (Scaling In & Out): The strategy doesn't just buy or sell a fixed amount. The size of its trades is scaled based on conviction: Buying: As the MVRV and RSI fall deeper into their "undervalued" zones, the percentage of available cash used for each purchase increases. Selling: As the indicators rise further into "overvalued" territory, the percentage of the current position sold also increases. This creates an adaptive system that systematically accumulates during periods of fear and distributes during periods of euphoria, with the intensity of its actions directly tied to the extremity of market conditions.
Pine Script® strategy
by wjstienstra
Becak I-series: Indicator Floating Panels v.80Becak I-series: Floating Panels v.80th (Indonesia Independence Days) What it does: This indicator creates three floating overlay panels that display MACD, RSI, and Stochastic oscillators directly on your price chart. Unlike traditional separate panes, these panels hover over your chart with customizable positioning and transparency, providing a clean, space-efficient way to monitor multiple technical indicators simultaneously. When to use: When you need to monitor momentum, trend strength, and overbought/oversold conditions without cluttering your workspace Perfect for traders who want quick visual access to multiple oscillators while maintaining focus on price action Ideal for any timeframe and asset class (stocks, crypto, forex, commodities) How it works: The script calculates standard MACD (12,26,9), RSI (14), and Stochastic (14,3,3) values, then renders them as floating panels with: MACD Panel: Shows MACD line (blue), Signal line (orange), and histogram (green/red bars) RSI Panel: Displays RSI line (purple) with overbought (70) and oversold (30) reference levels Stochastic Panel: Shows %K (blue) and %D (orange) lines with optional buy/sell signals and highlighted overbought/oversold zones Customization options: Position: Choose Top, Bottom, or Auto-Center placement Size: Adjust panel height (15-35% of chart) and spacing between panels Positioning: Fine-tune vertical center offset and horizontal positioning Appearance: Toggle panel backgrounds and adjust transparency (50-95%) Parameters: Modify all indicator lengths and overbought/oversold levels Signals: Enable/disable Stochastic crossover signals Display: Control lookback period (30-100 bars) and right margin spacing Universal compatibility: Works seamlessly across all asset types with automatic range detection and scaling. DIRGAHAYU HARI KEMERDEKAAN KE 80 - INDONESIA ... MERDEKA!!!!!
Pine Script® indicator
by kromut76
5
Currency Strength v3.0Currency Strength v3.0 Summary The Currency Strength indicator is a powerful tool designed to gauge the relative strength of major and emerging market currencies. By plotting the True Strength Index (TSI) of various currency indices, it provides a clear visual representation of which currencies are gaining momentum and which are losing it. This indicator automatically detects the currency pair on your chart and highlights the corresponding strength lines, simplifying analysis and helping you quickly identify potential trading opportunities based on currency dynamics. Key Features Comprehensive Currency Analysis: Tracks the strength of 19 currencies, including major pairs and several emerging market currencies. Automatic Pair Detection: Intelligently identifies the base and quote currency of the active chart, automatically highlighting the relevant strength lines. Dynamic Coloring: The base currency is consistently colored blue, and the quote currency is colored gold, making it easy to distinguish between the two at a glance. Non-Repainting TSI Calculation: Uses the True Strength Index (TSI) for smooth and reliable momentum readings that do not repaint. Customizable Settings: Allows for adjustment of the fast and slow periods for the TSI calculation to fit your specific trading style. Clean Interface: Features a minimalist legend table that only displays the currencies relevant to your current chart, keeping your workspace uncluttered. How It Works The indicator pulls data from major currency indices (like DXY for the US Dollar and EXY for the Euro). For currencies that don't have a dedicated index, it uses their USD pair (e.g., USDCNY) and inverts the calculation to derive the currency's strength relative to the dollar. It then applies the True Strength Index (TSI) to this data. The TSI is a momentum oscillator that is less volatile than other oscillators, providing a more reliable measure of strength. The resulting values are plotted on the chart, allowing you to see how different currencies are performing against each other in real-time. How to Use Trend Confirmation: When the base currency's line is rising and above the zero line, and the quote currency's line is falling, it can confirm a bullish trend for the pair. The opposite would suggest a bearish trend. Identifying Divergences: Look for divergences between the currency strength lines and the price action of the pair. For example, if the price is making higher highs but the base currency's strength is making lower highs, it could signal a potential reversal. Crossovers: A crossover of the base and quote currency lines can signal a shift in momentum. A bullish signal occurs when the base currency line crosses above the quote currency line. A bearish signal occurs when it crosses below. Overbought/Oversold Levels: The horizontal dashed lines at 0.5 and -0.5 can be used as general guides for overbought and oversold conditions, respectively. Strength moving beyond these levels may indicate an unsustainable move that is due for a correction. Settings Fast Period: The short-term period for the TSI calculation. Default is 7. Slow Period: The long-term period for the TSI calculation. Default is 15. Index Source: The price source used for the calculations (e.g., Close, Open). Default is Close. Base Currency Color: The color for the base currency line. Default is Royal Blue. Quote Currency Color: The color for the quote currency line. Default is Goldenrod. Disclaimer This indicator is intended for educational and analytical purposes only. It is not financial advice. Trading involves substantial risk, and past performance is not indicative of future results. Always conduct your own research and risk management before making any trading decisions.
Pine Script® indicator
by DOSALGO
10
SatoshiMultiFrame RSI SatoshiMultiFrame 📈 SatoshiMultiFrame is an advanced, multi-timeframe version of the RSI indicator, designed to look and feel like the built-in TradingView RSI — but with more customization options and professional visual enhancements. 🎯 Features Multi-Timeframe (MTF) Support – choose any timeframe for RSI calculation. Customizable RSI Line – change color, thickness, and style (Solid / Dashed / Dotted). Editable 30 / 50 / 70 Bands – fully customizable in the Style tab. Smooth Gradient Fill for OB/OS Zones: 🟢 Green shading above Overbought (70) 🔴 Red shading below Oversold (30) Customizable background for the entire panel. No repainting – stable and reliable data. ⚙️ Inputs RSI Length – default 14. Source – select the price source (Close, Open, etc.). RSI Timeframe – pick a higher or lower timeframe. RSI Line Style – choose between Solid / Dashed / Dotted. Dash Period & Dash Length – adjust the look of dashed lines. 🎨 Style Tab : Change RSI line color, thickness, and optional MA line. Edit colors and styles of 30 / 50 / 70 bands. Enable/disable and recolor OB/OS gradient fills. Adjust background color and transparency. 📌 How to Use : Add the indicator to your chart. In Inputs, set your preferred timeframe, RSI length, and line style. In Style, adjust colors, thickness, and gradient effects to your preference. Use the 50 line as a trend reference and monitor RSI behavior in OB/OS zones. ⚠️ Disclaimer: This tool is for educational purposes only and should not be considered financial advice. Always practice proper risk management.
Pine Script® indicator
by SatoshiMultiframe
Correlation Heatmap Matrix [TradingFinder] 20 Assets Variable🔵 Introduction Correlation is one of the most important statistical and analytical metrics in financial markets, data mining, and data science. It measures the strength and direction of the relationship between two variables. The correlation coefficient always ranges between +1 and -1 : a perfect positive correlation (+1) means that two assets or currency pairs move together in the same direction and at a constant ratio, a correlation of zero (0) indicates no clear linear relationship, and a perfect negative correlation (-1) means they move in exactly opposite directions. While the Pearson Correlation Coefficient is the most common method for calculation, other statistical methods like Spearman and Kendall are also used depending on the context. In financial market analysis, correlation is a key tool for Forex, the Stock Market, and the Cryptocurrency Market because it allows traders to assess the price relationship between currency pairs, stocks, or coins. For example, in Forex, EUR/USD and GBP/USD often have a high positive correlation; in stocks, companies from the same sector such as Apple and Microsoft tend to move similarly; and in crypto, most altcoins show a strong positive correlation with Bitcoin. Using a Correlation Heatmap in these markets visually displays the strength and direction of these relationships, helping traders make more accurate decisions for risk management and strategy optimization. 🟣 Correlation in Financial Markets In finance, correlation refers to measuring how closely two assets move together over time. These assets can be stocks, currency pairs, commodities, indices, or cryptocurrencies. The main goal of correlation analysis in trading is to understand these movement patterns and use them for risk management, trend forecasting, and developing trading strategies. 🟣 Correlation Heatmap A correlation heatmap is a visual tool that presents the correlation between multiple assets in a color-coded table. Each cell shows the correlation coefficient between two assets, with colors indicating its strength and direction. Warm colors (such as red or orange) represent strong negative correlation, cool colors (such as blue or cyan) represent strong positive correlation, and mid-range tones (such as yellow or green) indicate correlations that are close to neutral. 🟣 Practical Applications in Markets Forex : Identify currency pairs that move together or in opposite directions, avoid overexposure to similar trades, and spot unusual divergences. Crypto : Examine the dependency of altcoins on Bitcoin and find independent movers for portfolio diversification. Stocks : Detect relationships between stocks in the same industry or find outliers that move differently from their sector. 🟣 Key Uses of Correlation in Trading Risk management and diversification: Select assets with low or negative correlation to reduce portfolio volatility. Avoiding overexposure: Prevent opening multiple positions on highly correlated assets. Pairs trading: Exploit temporary deviations between historically correlated assets for arbitrage opportunities. Intermarket analysis: Study the relationships between different markets like stocks, currencies, commodities, and bonds. Divergence detection: Spot when two typically correlated assets move apart as a possible trend change signal. Market forecasting: Use correlated asset movements to anticipate others’ behavior. Event reaction analysis: Evaluate how groups of assets respond to economic or political events. ❗ Important Note It’s important to note that correlation does not imply causation — it only reflects co-movement between assets. Correlation is also dynamic and can change over time, which is why analyzing it across multiple timeframes provides a more accurate picture. Combining correlation heatmaps with other analytical tools can significantly improve the precision of trading decisions. 🔵 How to Use The Correlation Heatmap Matrix indicator is designed to analyze and manage the relationships between multiple assets at once. After adding the tool to your chart, start by selecting the assets you want to compare (up to 20). Then, choose the Correlation Period that fits your trading strategy. Shorter periods (e.g., 20 bars) are more sensitive to recent price movements, making them suitable for short-term trading, while longer periods (e.g., 100 or 200 bars) provide a broader view of correlation trends over time. The indicator outputs a color-coded matrix where each cell represents the correlation between two assets. Warm colors like red and orange signal strong negative correlation, while cool colors like blue and cyan indicate strong positive correlation. Mid-range tones such as yellow or green suggest correlations that are close to neutral. This visual representation makes it easy to spot market patterns at a glance. One of the most valuable uses of this tool is in portfolio risk management. Portfolios with highly correlated assets are more vulnerable to market swings. By using the heatmap, traders can find assets with low or negative correlation to reduce overall risk. Another key benefit is preventing overexposure. For example, if EUR/USD and GBP/USD have a high positive correlation, opening trades on both is almost like doubling the position size on one asset, increasing risk unnecessarily. The heatmap makes such relationships clear, helping you avoid them. The indicator is also useful for pairs trading, where a trader identifies assets that are usually correlated but have temporarily diverged — a potential arbitrage or mean-reversion opportunity. Additionally, the tool supports intermarket analysis, allowing traders to see how movements in one market (e.g., crude oil) may impact others (e.g., the Canadian dollar). Divergence detection is another advantage: if two typically aligned assets suddenly move in opposite directions, it could signal a major trend shift or a news-driven move. Overall, the Correlation Heatmap Matrix is not just an analytical indicator but also a fast, visual alert system for monitoring multiple markets at once. This is particularly valuable for traders in fast-moving environments like Forex and crypto. 🔵 Settings 🟣 Logic Correlation Period : Number of bars used to calculate correlation between assets. 🟣 Display Table on Chart : Enable/disable displaying the heatmap directly on the chart. Table Size : Choose the table size (from very small to very large). Table Position : Set the table location on the chart (top, middle, or bottom in various alignments). 🟣 Symbol Custom Select Market : Choose the market type (Forex, Stocks, Crypto, or Custom). Symbol 1 to Symbol 20: In custom mode, you can define up to 20 assets for correlation calculation. 🔵 Conclusion The Correlation Heatmap Matrix is a powerful tool for analyzing correlations across multiple assets in Forex, crypto, and stock markets. By displaying a color-coded table, it visually conveys both the strength and direction of correlations — warm colors for strong negative correlation, cool colors for strong positive correlation, and mid-range tones such as yellow or green for near-zero or neutral correlation. This helps traders select assets with low or negative correlation for diversification, avoid overexposure to similar trades, identify arbitrage and pairs trading opportunities, and detect unusual divergences between typically aligned assets. With support for custom mode and up to 20 symbols, it offers high flexibility for different trading strategies, making it a valuable complement to technical analysis and risk management.
Pine Script® indicator
by TFlab
4
BB next+2This indicator extends the standard Bollinger Bands by allowing you to project future Bollinger Bands based on assumed closing prices for the next trading day (+1) and the day after (+2). Key Features: Plots standard Bollinger Bands (supports SMA, EMA, etc.) Allows manual input of assumed closing prices for the next trading day (+1) and the day after (+2) Displays projected Bollinger Bands (basis, upper, and lower) based on the input values Option to restrict display to the latest bar or confirmed bars only
Pine Script® indicator
by Komc
Approx STH Unrealized Profit [Relative %]This indicator estimates the unrealized profit or loss of short-term holders (STH) without requiring on-chain data. Instead of using actual STH Realized Price (average purchase price), it employs a 155-day Simple Moving Average (SMA) to approximate the behavior of "recent buyers." How It Works The indicator calculates the percentage deviation between the current price and the 155-day SMA using the formula: (Current Price - 155 SMA) / 155 SMA * 100%. Positive values indicate profit, while negative values show loss. Key threshold levels are set at +50% (overbought) and -30% (oversold). Trading Applications Profit > 50% - STH are experiencing significant profits, suggesting potential correction. Consider taking partial profits. 0% < Profit < 50% - Moderate profits indicate the trend may continue. Maintain positions. Profit ≈ 0% - Price is near STH's average entry point, showing market indecision. -30% < Profit < 0% - STH are at a loss, potentially signaling accumulation opportunities. Profit < -30% - Extreme oversold conditions may present buying opportunities. Limitations SMA only approximates STH behavior. May produce false signals during sideways markets. SMA lag can be noticeable in strong trending markets. Recommendation For improved accuracy, combine this indicator with trend-following tools (200 EMA, Volume analysis) and other technical indicators. It serves best as a supplementary tool for identifying overbought/oversold market conditions within your trading strategy.
Pine Script® indicator
by ALMCorporation
Wolf Exit Oscillator Enhanced # Wolf Exit Oscillator Enhanced ## What it is (quick take) **Wolf Exit Oscillator Enhanced** is a clean, rules-first **exit timing tool** built on the **True Strength Index (TSI)** with two optional safeguards: 1. **Signal-line crossover** (to avoid bailing on shallow dips), and 2. **EMA confirmation** (price-based “is the trend actually weakening/strengthening?” check). Use it to standardize when you **take profits, cut losers, or scale out**—especially after momentum runs hot or cold. > Works best **paired** with: > > * **ABS NR — Fail-Safe Confirm (v4.2.2)** for entries > * **ABS Companion Oscillator — Trend / Exhaustion / New Trend** for trend/exhaustion context --- ## How to use it (operational workflow) 1. **Set your bands** * `exitHigh` and `exitLow` mark “overcooked” zones on the TSI scale (default: +60 / –60). * Above `exitHigh` = momentum stretched **up** (good place to **exit shorts** or **take long profits**). * Below `exitLow` = momentum stretched **down** (good place to **exit longs** or **take short profits**). 2. **Choose strictness** * **Base mode**: the moment TSI crosses out of a band, you get an exit signal. * **Add Signal-Line Cross** (`enableSignalX = true`): require TSI to cross its signal in the same direction → **fewer, cleaner exits**. * **Add EMA Filter** (`enableEMAFilter = true`): also require **price** to confirm (e.g., long exit only if price < EMA). This avoids bailing during healthy trends. 3. **Execute with structure** * **Full exit** when a signal fires, or * **Scale out** (e.g., 50% on first signal, remainder on trail/secondary signal), or * **Move stop** to lock gains once an exit signal prints. 4. **Alerts** * Set to **“Once per bar close”** to avoid intrabar flip-flop. * Use the two provided alert names for automation (see “Alerts” below). --- ## Signals & visuals * **TSI line** (solid) and **Signal line** (dashed) with optional **histogram** (TSI − Signal). * **Horizontal bands** at `exitHigh` and `exitLow`. * **Labels**: * **Exit Long** appears when long-side momentum breaks down (below `exitLow`, plus any enabled filters). * **Exit Short** appears when short-side momentum breaks down (above `exitHigh`, plus any enabled filters). **Alerts (stable names):** * **WolfExit — Exit Long** * **WolfExit — Exit Short** --- ## Non-repainting behavior (what to expect) * The oscillator is computed with **EMAs on current timeframe**—no higher-timeframe lookahead, no repaint. * **Intrabar**: TSI/Signal can fluctuate; use **bar-close evaluation** (and alert setting “Once per bar close”) to lock signals. * If you enable the EMA filter, that check is also evaluated at bar close. --- ## Every input explained (and how changing it alters behavior) ### Momentum engine (TSI) * **TSI Long EMA Length (`tsiLongLen`, default 25)** Higher = smoother, slower momentum; fewer signals. Lower = twitchier, more signals. * **TSI Short EMA Length (`tsiShortLen`, default 13)** Fine-tunes responsiveness on top of the long length. Lower short → snappier TSI. * **TSI Signal Line Length (`tsisigLen`, default 7)** Higher = slower signal line (harder to cross) → fewer signals. Lower = easier crosses → more signals. ### Thresholds (the bands) * **Exit Threshold High (`exitHigh`, default +60)** Raise to demand **stronger** overbought before signaling short exits / long profit-takes. Lower to trigger sooner. * **Exit Threshold Low (`exitLow`, default −60)** Raise (toward 0) to trigger **earlier** on longs; lower (more negative) to wait for deeper downside stretch. ### Confirmation layers * **Require Signal Line Crossover (`enableSignalX`, default true)** On = TSI must cross its signal (same direction as exit) → **filters out shallow wiggles**. Off = faster, more frequent exits. * **Enable EMA Confirmation Filter (`enableEMAFilter`, default true)** On = require **price < EMA** for **Exit Long** and **price > EMA** for **Exit Short**. * **EMA Exit Confirmation Length (`exitEMALen`, default 50)** Higher = **trendier** filter (harder to flip) → fewer exits; Lower = more reactive → more exits. ### Visuals * **Show Histogram (`showHist`)** On = quick visual for TSI–Signal spread (helps spot weakening momentum before a cross). * **Plot Exit Signals (`showSignals`)** Toggle labels if you only want the lines/bands with alerts. --- ## Tuning recipes (quick, practical) * **Strong trend days (avoid premature exits)** * Keep **`enableSignalX = true`** and **`enableEMAFilter = true`** * Increase **`exitEMALen`** (e.g., 80) * Consider raising **`exitHigh`** to 65–70 (and lowering **`exitLow`** to −65/−70) * **Choppy/range days (exit faster, take the cash)** * **`enableEMAFilter = false`** (don’t wait for price filter) * **`enableSignalX`** optional; try off for quicker responses * Bring bands closer to **±50** to take profits earlier * **Scalping / lower timeframes** * Shorten **TSI lengths** a bit (e.g., 21/9/5) * Consider **`exitHigh=55 / exitLow=-55`** * Keep **histogram on** to visualize momentum flip risk * **Swing trading / higher timeframes** * Lengthen **TSI** (e.g., 35/21/9) and **`exitEMALen`** (e.g., 100) * Wider bands (±65 to ±75) to catch bigger moves before exiting --- ## Playbooks (how to actually trade it) * **Entry from ABS NR FS, exit with Wolf** * Take entries from **ABS NR — Fail-Safe Confirm** (triangle). * Use **Wolf Exit** to scale out: 50% on first exit label, trail remainder with price/EMA or your stop logic. * **Pyramid & protect** * Add on re-accelerations (TSI pulls back toward zero without breaching the opposite band). * The first **Exit** signal → take partial, raise stop to last higher low / lower high. * **Mean-reversion fade management** * When fading with ABS NR (KC band pokes + stretched |Z|), target the first opposite **Exit** signal as your “don’t overstay” cue. --- ## Suggested starting points * **Day trading (5–15m):** * TSI: **25 / 13 / 7** (default) * Bands: **+60 / −60** * Confirmations: **SignalX = on**, **EMA Filter = on**, **EMA Len = 50** * Alerts: **Once per bar close** * **Scalping (1–3m):** * TSI: **21 / 9 / 5** * Bands: **±55** * Confirmations: **SignalX = on**, **EMA Filter = off** (optional for speed) * **Swing (1h–D):** * TSI: **35 / 21 / 9** * Bands: **+65 / −65** (or ±70) * Confirmations: **SignalX = on**, **EMA Filter = on**, **EMA Len = 100** --- ## Best-practice pairings * **Entries:** **ABS NR — Fail-Safe Confirm (v4.2.2)** * Take ABS triangles; let Wolf standardize exits so you’re not guessing. * **Context:** **ABS Companion Oscillator** * Prefer holding longer when the companion stays above (for longs) or below (for shorts) its neutral band and **no EXH tag** prints. * If companion flags **EXH** against your position, tighten stops; Wolf’s next exit signal becomes high priority. --- ## Notes & disclaimers * This is an **exit signal tool**, not a strategy or broker. * Signals are strongest when aligned with your **entry logic** and a **risk framework** (position sizing, stops, partials). * All evaluations are **current timeframe**; no higher-timeframe lookahead is used. * Markets change—tune the bands and confirmations per symbol/timeframe. --- **Tip:** Keep your alerts simple—one for **Exit Long**, one for **Exit Short**, **Once per bar close**. Use partial exits on the first signal, and let your stop/trailing logic handle the rest.
Pine Script® indicator
by jensenvilhelm
Parabolic Stoch SAR VisualizerParabolic Stoch SAR Visualizer — Momentum-Driven Trend Precision Tool Overview: Parabolic Stoch SAR Visualizer is a thoughtfully engineered hybrid indicator that blends momentum oscillation and trend-following mechanics into one robust system. By applying a custom Parabolic SAR calculation directly on a double-smoothed stochastic oscillator (rather than on price), it generates cleaner signals with enhanced trend detection and fewer false positives than typical Parabolic RSI or standard SAR variants. Unique Functionality: Momentum smoothing : The base stochastic %K undergoes double smoothing via consecutive simple moving averages, significantly cutting down random noise and erratic swings common in raw stochastic readings. This stabilizes momentum tracking, isolating true price strength and weakness. Custom Parabolic SAR on smoothed momentum : Traditional SAR algorithms operate on price data, acting as trailing stops. This indicator repurposes SAR to work on smoothed stochastic values, effectively converting it into a momentum-driven directional filter. This yields a more adaptive and responsive trend signal focused on genuine momentum shifts instead of price noise. Bounded SAR range and adjustable acceleration : SAR values are mathematically restricted between 0 and 100, aligning with the stochastic scale to prevent distortions. Traders can customize acceleration parameters (start, increment, max) to fine-tune trend sensitivity relative to market volatility or specific strategies. Signal clarity through filterin g: Minimum bar spacing and minimum SAR movement thresholds between plotted dots reduce chart clutter, highlighting only meaningful trend changes and filtering out insignificant fluctuations. Enhanced visuals : The oscillator line smoothly transitions its color gradient between defined uptrend and downtrend hues, intuitively signaling momentum strength. Parabolic SAR dots are offset from the oscillator line with multi-layered glow effects, making trend flips easy to spot at a glance. Trading Application: Trend identification : Momentum-based SAR dots offer precise marking of trend shifts, helping traders avoid false breakouts and premature trades. Entry and exit timing : Combining the double-smoothed stochastic oscillator and SAR dots creates a reliable framework to confirm momentum shifts and optimal trade entries or exits. Customizable for volatility regimes : Adjustable acceleration and filtering parameters allow scalpers to increase signal sensitivity, while swing traders can dial back noise for smoother trend recognition. Visual clarity for fast decisions : Gradient color coding and glowing SAR dots facilitate immediate momentum assessment without complex analysis, empowering quicker, more confident trade actions. Advantages over Parabolic RSI and similar indicators: Parabolic RSI’s direct application of SAR on RSI often results in noisy, choppy signals prone to whipsaws. This indicator’s double-smoothed stochastic foundation delivers a cleaner, steadier signal. Applying SAR to smoothed momentum rather than price transforms it into a directional filter that better captures true market strength with reduced lag. Adaptive plotting thresholds and enhanced visuals minimize clutter and ambiguity, improving trader focus and execution speed.
Pine Script® indicator
by BOSWaves