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Candle and 5SMA Crossover (5MAクロス）Script Overview This Pine Script identifies crossover events between the price of a candlestick (closing price) and the 5-period Simple Moving Average (SMA). It generates buy and sell signals based on these crossover events and visually plots them on the chart. Key Features Calculation of 5-SMA: The script uses the ta.sma function to calculate the Simple Moving Average for the last 5 periods (sma5). Detecting Crossovers: A bullish crossover occurs when the closing price crosses above the 5-SMA. This is detected using ta.crossover(close, sma5). A bearish crossover occurs when the closing price crosses below the 5-SMA. This is detected using ta.crossunder(close, sma5). Chart Plotting: The 5-SMA line is plotted in blue to provide a clear visual reference. Signals are marked directly on the chart: A green "BUY" label appears below the bar when a bullish crossover is detected. A red "SELL" label appears above the bar when a bearish crossover is detected. Alerts: Alerts are triggered when crossovers occur: A bullish alert is sent when the price crosses above the 5-SMA. A bearish alert is sent when the price crosses below the 5-SMA. This script is a simple yet effective tool for traders looking to base their strategy on moving average crossovers. スクリプト概要 このPine Scriptは、ローソク足の終値と5期間の単純移動平均（SMA）がクロスするタイミングを特定します。このクロスに基づいて、買いシグナルと売りシグナルを生成し、それらをチャート上に視覚的にプロットします。 主な機能 5-SMAの計算: ta.sma関数を使用して、直近5期間の単純移動平均（sma5）を計算します。 クロスの検出: 強気のクロスオーバー（Bullish Crossover）: 終値が5-SMAを上回る場合に発生します。ta.crossover(close, sma5)で検出します。 弱気のクロスアンダー（Bearish Crossunder）: 終値が5-SMAを下回る場合に発生します。ta.crossunder(close, sma5)で検出します。 チャートへのプロット: 5-SMAのラインを青色で描画し、視覚的な参考にします。 シグナルはチャート上に次のように表示されます： 強気のクロスでは、緑色の「BUY」ラベルがローソク足の下に表示されます。 弱気のクロスでは、赤色の「SELL」ラベルがローソク足の上に表示されます。 アラート機能: クロスが発生した際にアラートを送信します： 強気のアラート: 終値が5-SMAを上抜けた際に送信されます。 弱気のアラート: 終値が5-SMAを下抜けた際に送信されます。 このスクリプトは、移動平均のクロスをベースにしたトレード戦略を採用したいトレーダーにとって、シンプルで効果的なツールです。
Pine Script™ indicator
by rapto
Previous 4-Hour High/Low Indicator Name: Previous 4-Hour High/Low Lines Description: This indicator highlights the high and low levels of the previous candle from a user-defined timeframe (default: 4 hours) and extends these levels both to the left and right across the chart. It allows traders to visualize key support and resistance levels from higher timeframes while analyzing lower timeframe charts. Key Features: • Customizable Timeframe: Select any timeframe (e.g., 4-hour, daily) to track the high and low of the previous candle. • Dynamic Updates: The high and low levels update automatically with each new candle. • Extended Levels: Lines extend both left and right, providing a clear reference for past and future price action. • Overlay on Chart: The indicator works seamlessly on any timeframe, making it ideal for multi-timeframe analysis. Use Case: This tool is perfect for traders who rely on higher timeframe levels for setting entry/exit points, identifying potential breakout zones, or managing risk. By visualizing these levels directly on lower timeframe charts, traders can make informed decisions without switching between charts.
Pine Script™ indicator
by venushkas
Zenith Oscillator IndicatorHow the Zenith Oscillator Works The Zenith Oscillator is a powerful custom trading tool designed to identify market reversals, trends, and momentum shifts. It combines multiple smoothed calculations into a normalized range (0-100), offering clear visual cues for overbought and oversold conditions. Additionally, it incorporates a volume filter to ensure signals are generated only during significant market activity, improving reliability. The oscillator has two main components: 1. Smoothed Oscillator Line (Primary Line): Dynamically changes color based on its slope: Green for upward momentum. Red for downward momentum. Indicates the market's momentum and helps confirm trends. 2. Recursive Moving Average (RMA): A secondary smoothed line plotted alongside the oscillator for additional confirmation of trends and signals. --- How to Use the Zenith Oscillator in Trading The indicator generates Buy (Long) and Sell (Short) signals based on specific conditions, with added priority to signals occurring in overbought or oversold zones. Key Features: 1. Overbought and Oversold Levels: Overbought (80): Signals potential price exhaustion, where a reversal to the downside is likely. Oversold (20): Signals potential price exhaustion, where a reversal to the upside is likely. Priority should be given to signals occurring near these levels, as they represent stronger trading opportunities. 2. Volume Filter: Signals are only generated when volume exceeds a defined threshold (1.75 times the 50-period volume moving average). This ensures signals are triggered during meaningful price action, reducing noise and false entries. 3. Signal Generation: Buy Signal: The oscillator crosses above the oversold level (20) during high volume. Sell Signal: The oscillator crosses below the overbought level (80) during high volume. 4. Visual Enhancements: Background Highlights: Red when the oscillator is in overbought territory (above 80). Green when the oscillator is in oversold territory (below 20). These highlights serve as visual cues for areas of interest. --- Trading Strategies 1. Reversal Trading (Priority Signals): Look for Buy Signals when the oscillator crosses above the oversold level (20), particularly when: The background is green (oversold). Volume is high (volume filter is satisfied). Look for Sell Signals when the oscillator crosses below the overbought level (80), particularly when: The background is red (overbought). Volume is high. Why prioritize these signals? Reversals occurring in overbought or oversold zones are strong indicators of market turning points, often leading to significant price movements. 2. Trend Continuation: Use the RMA line to confirm trends: In an uptrend, ensure the oscillator remains above the RMA, and look for buy signals near oversold levels. In a downtrend, ensure the oscillator remains below the RMA, and look for sell signals near overbought levels. This strategy helps capture smaller pullbacks within larger trends. 3. Volume-Driven Entries: Only take trades when volume exceeds the threshold defined by the 50-period volume moving average and multiplier (1.75). This filter ensures you’re trading during active periods, reducing the risk of false signals. --- Practical Tips 1. Focus on Priority Signals: Treat signals generated in overbought (above 80) and oversold (below 20) zones with higher confidence. These signals often coincide with market exhaustion and are likely to precede strong reversals. 2. Use as a Confirmation Tool: Combine the Zenith Oscillator with price action or other indicators (e.g., support/resistance levels, trendlines) for additional confirmation. 3. Avoid Choppy Markets: The oscillator performs best in markets with clear trends or strong reversals. If the oscillator fluctuates frequently between signals without clear movement, consider staying out of the market. 4. Adjust Thresholds for Specific Assets: Different assets or markets (e.g., crypto vs. stocks) may require adjusting the overbought/oversold levels or volume thresholds for optimal performance. --- Example Trades 1. Buy Example: The oscillator dips below 20 (oversold) and generates a green circle (buy signal) as it crosses back above 20. Background is green, and volume is above the threshold. Take a long position and set a stop-loss below the recent low. 2. Sell Example: The oscillator rises above 80 (overbought) and generates a red circle (sell signal) as it crosses back below 80. Background is red, and volume is above the threshold. Take a short position and set a stop-loss above the recent high. --- Summary The Zenith Oscillator is a versatile trading tool designed to identify high-probability trade setups by combining momentum, volume, and smoothed trend analysis. By prioritizing signals near overbought/oversold levels during high-volume conditions, traders can gain an edge in capturing significant price moves. Use it in combination with sound risk management and additional confirmation tools for best results.
Pine Script™ indicator
by MonkeyPhone
1
DR Oscillator 8 * Measures price deviation: Calculates the percentage difference between the closing price and a simple moving average. * Defines upper and lower limits: User-defined upper and lower limits determine overbought and oversold conditions. * Signal line: A simple moving average of the deviation is plotted as a signal line. * Deviation smoothing (optional): The deviation can be smoothed using a moving average to create a smoother line. * Additional signal line (optional): An additional signal line can be added for further analysis. * Visual representation: The oscillator is plotted with different colors to indicate overbought, oversold, or neutral conditions. * Background coloring: The background color changes based on the oscillator's value to provide visual cues for buy or sell signals. In summary: The DR Oscillator helps traders identify potential buying and selling opportunities by measuring the extent to which a security's price has deviated from its moving average. When the oscillator moves above the upper limit, it suggests that the asset may be overbought and due for a price correction. Conversely, when it moves below the lower limit, it may indicate an oversold condition and a potential buying opportunity. However, it's important to note that the DR Oscillator is just one tool and should be used in conjunction with other technical indicators and fundamental analysis for more accurate trading decisions.
Pine Script™ indicator
by TAMARUmofmof
[blackcat] L2 Kiosotto IndicatorOVERVIEW The Kiosotto Indicator is a versatile technical analysis tool designed for forex trading but applicable to other financial markets. It excels in detecting market reversals and trends without repainting, ensuring consistent and reliable signals. The indicator has evolved over time, with different versions focusing on specific aspects of market analysis. KEY FEATURES Reversal Detection: Identifies potential market reversals, crucial for traders looking to capitalize on turning points. Trend Detection: Earlier versions focused on detecting trends, useful for traders who prefer to follow the market direction. Non-Repainting: Signals remain consistent on the chart, providing reliable and consistent signals. Normalization: Later versions, such as Normalized Kiosotto and Kiosotto_2025, incorporate normalization to assess oversold and overbought conditions, enhancing interpretability. VERSIONS AND EVOLUTION Early Versions: Focused on trend detection, useful for following market direction. 2 in 1 Kiosotto: Emphasizes reversal detection and is considered an improvement by users. Normalized Versions (e.g., Kiosotto_2025, Kiosotto_3_2025): Introduce normalization to assess oversold and overbought conditions, enhancing interpretability. HOW TO USE THE KIOSOTTO INDICATOR Understanding Signals: Reversals: Look for the indicator's signals that suggest a potential reversal, indicated by color changes, line crossings, or other visual cues. Trends: Earlier versions might show stronger trending signals, indicated by the direction or slope of the indicator's lines. Normalization Interpretation (for normalized versions): Oversold: When the indicator hits the lower boundary, it might indicate an oversold condition, suggesting a potential buy signal. Overbought: Hitting the upper boundary could signal an overbought condition, suggesting a potential sell signal. PINE SCRIPT IMPLEMENTATION The provided Pine Script code is a version of the Kiosotto indicator. Here's a detailed explanation of the code: //@version=5 indicator(" L2 Kiosotto Indicator", overlay=false) //Pine version of Kiosotto 2015 v4 Alert ms-nrp // Input parameters dev_period = input.int(150, "Dev Period") alerts_level = input.float(15, "Alerts Level") tsbul = 0.0 tsber = 0.0 hpres = 0.0 lpres = 9999999.0 for i = 0 to dev_period - 1 rsi = ta.rsi(close , dev_period) if high > hpres hpres := high tsbul := tsbul + rsi * close if low < lpres lpres := low tsber := tsber + rsi * close buffer1 = tsber != 0 ? tsbul / tsber : 0 buffer2 = tsbul != 0 ? tsber / tsbul : 0 // Plotting plot(buffer1, color=color.aqua, linewidth=3, style=plot.style_histogram) plot(buffer2, color=color.fuchsia, linewidth=3, style=plot.style_histogram) hline(alerts_level, color=color.silver) EXPLANATION OF THE CODE Indicator Definition: indicator(" L2 Kiosotto Indicator", overlay=false): Defines the indicator with the name " L2 Kiosotto Indicator" and specifies that it should not be overlaid on the price chart. Input Parameters: dev_period = input.int(150, "Dev Period"): Allows users to set the period for the deviation calculation. alerts_level = input.float(15, "Alerts Level"): Allows users to set the level for alerts. Initialization: tsbul = 0.0: Initializes the tsbul variable to 0.0. tsber = 0.0: Initializes the tsber variable to 0.0. hpres = 0.0: Initializes the hpres variable to 0.0. lpres = 9999999.0: Initializes the lpres variable to a very high value. Loop for Calculation: The for loop iterates over the last dev_period bars. rsi = ta.rsi(close , dev_period): Calculates the RSI for the current bar. if high > hpres: If the high price of the current bar is greater than hpres, update hpres and add the product of RSI and close price to tsbul. if low < lpres: If the low price of the current bar is less than lpres, update lpres and add the product of RSI and close price to tsber. Buffer Calculation: buffer1 = tsber != 0 ? tsbul / tsber : 0: Calculates the first buffer as the ratio of tsbul to tsber if tsber is not zero. buffer2 = tsbul != 0 ? tsber / tsbul : 0: Calculates the second buffer as the ratio of tsber to tsbul if tsbul is not zero. Plotting: plot(buffer1, color=color.aqua, linewidth=3, style=plot.style_histogram): Plots the first buffer as a histogram with an aqua color. plot(buffer2, color=color.fuchsia, linewidth=3, style=plot.style_histogram): Plots the second buffer as a histogram with a fuchsia color. hline(alerts_level, color=color.silver): Draws a horizontal line at the alerts_level with a silver color. FUNCTIONALITY The Kiosotto indicator calculates two buffers based on the RSI and price levels over a specified period. The buffers are plotted as histograms, and a horizontal line is drawn at the alerts level. The indicator helps traders identify potential reversals and trends by analyzing the relationship between the RSI and price levels. ALGORITHMS RSI Calculation: The Relative Strength Index (RSI) measures the speed and change of price movements. It is calculated using the formula: RSI=100− (1+RS) / 100 where RS is the ratio of the average gain to the average loss over the specified period. Buffer Calculation: The buffers are calculated as the ratio of the sum of RSI multiplied by the close price for high and low price conditions. This helps in identifying the balance between buying and selling pressure. Signal Generation: The indicator generates signals based on the values of the buffers and the alerts level. Traders can use these signals to make informed trading decisions, such as entering or exiting trades based on potential reversals or trends. APPLICATION SCENARIOS Reversal Trading: Traders can use the Kiosotto indicator to identify potential reversals by looking for significant changes in the buffer values or crossings of the alerts level. Trend Following: The indicator can also be used to follow trends by analyzing the direction and slope of the buffer lines. Oversold/Overbought Conditions: For normalized versions, traders can use the indicator to identify oversold and overbought conditions, which can provide buy or sell signals. THANKS Special thanks to the TradingView community and the original developers for their contributions and support in creating and refining the Kiosotto Indicator.
Pine Script™ indicator
by blackcat1402
1
Rolling Window Geometric Brownian Motion Projections📊 Rolling GBM Projections + EV & Adjustable Confidence Bands Overview The Rolling GBM Projections + EV & Adjustable Confidence Bands indicator provides traders with a robust, dynamic tool to model and project future price movements using Geometric Brownian Motion (GBM). By combining GBM-based simulations, expected value (EV) calculations, and customizable confidence bands, this indicator offers valuable insights for decision-making and risk management. Key Features Rolling GBM Projections: Simulate potential future price paths based on drift (μμ) and volatility (σσ). Expected Value (EV) Line: Represents the average projection of simulated price paths. Confidence Bands: Define ranges where the price is expected to remain, adjustable from 51% to 99%. Simulation Lines: Visualize individual GBM paths for detailed analysis. EV of EV Line: A smoothed trend of the EV, offering additional clarity on price dynamics. Customizable Lookback Periods: Adjust the rolling lookback periods for drift and volatility calculations. Mathematical Foundation 1. Geometric Brownian Motion (GBM) GBM is a mathematical model used to simulate the random movement of asset prices, described by the following stochastic differential equation: dSt=μStdt+σStdWt dSt​=μSt​dt+σSt​dWt​ Where: StSt​: Price at time tt μμ: Drift term (expected return) σσ: Volatility (standard deviation of returns) dWtdWt​: Wiener process (standard Brownian motion) 2. Drift (μμ) and Volatility (σσ) Drift (μμ): Represents the average logarithmic return of the asset. Calculated using a simple moving average (SMA) over a rolling lookback period. μ=SMA(ln⁡(St/St−1),Lookback Drift) μ=SMA(ln(St​/St−1​),Lookback Drift) Volatility (σσ): Measures the standard deviation of logarithmic returns over a rolling lookback period. σ=STD(ln⁡(St/St−1),Lookback Volatility) σ=STD(ln(St​/St−1​),Lookback Volatility) 3. Price Simulation Using GBM The GBM formula for simulating future prices is: St+Δt=St×e(μ−12σ2)Δt+σϵΔt St+Δt​=St​×e(μ−21​σ2)Δt+σϵΔt ​ Where: ϵϵ: Random variable from a standard normal distribution (N(0,1)N(0,1)). 4. Confidence Bands Confidence bands are determined using the Z-score corresponding to a user-defined confidence percentage (CC): Upper Band=EV+Z⋅σ Upper Band=EV+Z⋅σ Lower Band=EV−Z⋅σ Lower Band=EV−Z⋅σ The Z-score is computed using an inverse normal distribution function, approximating the relationship between confidence and standard deviations. Methodology Rolling Drift and Volatility: Drift and volatility are calculated using logarithmic returns over user-defined rolling lookback periods (default: μ=20μ=20, σ=16σ=16). Drift defines the overall directional tendency, while volatility determines the randomness and variability of price movements. Simulations: Multiple GBM paths (default: 30) are generated for a specified number of projection candles (default: 12). Each path is influenced by the current drift and volatility, incorporating random shocks to simulate real-world price dynamics. Expected Value (EV): The EV is calculated as the average of all simulated paths for each projection step, offering a statistical mean of potential price outcomes. Confidence Bands: The upper and lower bounds of the confidence bands are derived using the Z-score corresponding to the selected confidence percentage (e.g., 68%, 95%). EV of EV: A running average of the EV values, providing a smoothed perspective of price trends over the projection horizon. Indicator Functionality User Inputs: Drift Lookback (Bars): Define the number of bars for rolling drift calculation (default: 20). Volatility Lookback (Bars): Define the number of bars for rolling volatility calculation (default: 16). Projection Candles (Bars): Set the number of bars to project future prices (default: 12). Number of Simulations: Specify the number of GBM paths to simulate (default: 30). Confidence Percentage: Input the desired confidence level for bands (default: 68%, adjustable from 51% to 99%). Visualization Components: Simulation Lines (Blue): Display individual GBM paths to visualize potential price scenarios. Expected Value (EV) Line (Orange): Highlight the mean projection of all simulated paths. Confidence Bands (Green & Red): Show the upper and lower confidence limits. EV of EV Line (Orange Dashed): Provide a smoothed trendline of the EV values. Current Price (White): Overlay the real-time price for context. Display Toggles: Enable or disable components (e.g., simulation lines, EV line, confidence bands) based on preference. Practical Applications Risk Management: Utilize confidence bands to set stop-loss levels and manage trade risk effectively. Use narrower confidence intervals (e.g., 50%) for aggressive strategies or wider intervals (e.g., 95%) for conservative approaches. Trend Analysis: Observe the EV and EV of EV lines to identify overarching trends and potential reversals. Scenario Planning: Analyze simulation lines to explore potential outcomes under varying market conditions. Statistical Insights: Leverage confidence bands to understand the statistical likelihood of price movements. How to Use Add the Indicator: Copy the script into the TradingView Pine Editor, save it, and apply it to your chart. Customize Settings: Adjust the lookback periods for drift and volatility. Define the number of projection candles and simulations. Set the confidence percentage to tailor the bands to your strategy. Interpret the Visualization: Use the EV and confidence bands to guide trade entry, exit, and position sizing decisions. Combine with other indicators for a holistic trading strategy. Disclaimer This indicator is a mathematical and statistical tool. It does not guarantee future performance. Use it in conjunction with other forms of analysis and always trade responsibly. Happy Trading! 🚀
Pine Script™ indicator
by garysebastianbrowniii
Supertrend Fakeout + EMA 20/50/100/200 Prices [ Toonig- EmreKb]Supertrend Fakeout This script is an enhanced version of the classic Supertrend indicator. It incorporates an additional feature that ensures trend reversals are more reliable by introducing a Fakeout Index Limit and a Fakeout ATR Mult. This helps avoid false trend changes that could occur due to short-term price fluctuations or market noise. Introducing the EMA Indicator with Dynamic Labels, a unique addition to the TradingView Public Library. This innovative script enhances trend analysis and decision-making by overlaying four Exponential Moving Averages (EMAs) – 20, 50, 100, and 200 periods – on your chart, each with a distinct color for quick identification.
Pine Script™ indicator
by smokypapa
Larry Williams: Market StructureLarry Williams' Three-Bar System of Highs and Lows: A Definition of Market Structure Larry Williams developed a method of market structure analysis based on identifying local extrema using a sequence of three consecutive bars. This approach helps traders pinpoint significant turning points on the price chart. Definition of Local Extrema: Local High: Consists of three bars where the middle bar has the highest high, while the lows of the bars on either side are lower than the low of the middle bar. Local Low: Consists of three bars where the middle bar has the lowest low, while the highs of the bars on either side are higher than the high of the middle bar. This structure helps identify meaningful reversal points on the price chart. Constructing the Zigzag Line: Once the local highs and lows are determined, they are connected with lines to create a zigzag pattern. This zigzag reflects the major price swings, filtering out minor fluctuations and market noise. Medium-Term Market Structure: By analyzing the sequence of local extrema, it is possible to determine the medium-term market trend: Upward Structure: A sequence of higher highs and higher lows. Downward Structure: A sequence of lower highs and lower lows. Sideways Structure (Flat): Lack of a clear trend, where highs and lows remain approximately at the same level. This method allows traders and analysts to better understand the current market phase and make informed trading decisions. Built-in Indicator Feature: The indicator includes a built-in functionality to display Intermediate Term Highs and Lows , which are defined by filtering short-term highs and lows as described in Larry Williams' methodology. This feature is enabled by default, ensuring traders can immediately visualize key levels for support, resistance, and trend assessment. Quote from Larry Williams' Work on Intermediate Term Highs and Lows: "Now, the most interesting part! Look, if we can identify a short-term high by defining it as a day with lower highs (excluding inside days) on both sides, we can take a giant leap forward and define an intermediate term high as any short-term high with lower short-term highs on both sides. But that’s not all, because we can take it even further and say that any intermediate term high with lower intermediate term highs on both sides—you see where I’m going—forms a long-term high. For many years, I made a very good living simply by identifying these points as buy and sell signals. These points are the only valid support and resistance levels I’ve ever found. They are crucial, and the breach of these price levels provides important information about trend development and changes. Therefore, I use them for placing stop loss protection and entry methods into the market." — Larry Williams This insightful quote highlights the practical importance of identifying market highs and lows at different timeframes and underscores their role in effective trading strategies.
Pine Script™ indicator
by Smollet
Enhanced Trading StrategyFeatures of the Script RSI Analysis: Highlights overbought and oversold levels with visual and alert-based feedback. Integrates as part of the trade signal generation. Moving Averages (EMA): Plots short and long EMA for trend confirmation (golden and death cross strategies). MACD: Uses MACD histogram and crossovers to confirm momentum. Fibonacci Retracements: Dynamically calculates Fibonacci regression levels for support and resistance. Volume: Displays volume for confirmation of breakouts or trend strength. Alerts: Triggers buy/sell alerts based on conditions. Alerts can be sent to your email or phone using TradingView's alert system.
Pine Script™ indicator
by mnasirbsullehe
Simple MA Crossover Strategy//@version=5 strategy("Simple MA Crossover Strategy", overlay=true) // Input parameters fastLength = input.int(9, title="Fast MA Length", minval=1) slowLength = input.int(21, title="Slow MA Length", minval=1) riskPerTrade = input.float(0.01, title="Risk per Trade (Lot Size)", minval=0.01, step=0.01) // Moving Averages fastMA = ta.sma(close, fastLength) slowMA = ta.sma(close, slowLength) // Plot MAs plot(fastMA, color=color.blue, title="Fast MA") plot(slowMA, color=color.red, title="Slow MA") // Entry conditions longCondition = ta.crossover(fastMA, slowMA) shortCondition = ta.crossunder(fastMA, slowMA) // Execute trades if (longCondition) strategy.entry("Long", strategy.long, qty=riskPerTrade) if (shortCondition) strategy.entry("Short", strategy.short, qty=riskPerTrade) // Stop-loss and take-profit stopLossPercent = input.float(0.5, title="Stop Loss (%)", minval=0.1, step=0.1) takeProfitPercent = input.float(1.0, title="Take Profit (%)", minval=0.1, step=0.1) strategy.exit("Exit Long", from_entry="Long", loss=stopLossPercent, profit=takeProfitPercent) strategy.exit("Exit Short", from_entry="Short", loss=stopLossPercent, profit=takeProfitPercent)
Pine Script™ strategy
by luckyjaforever
Enhanced MTF Technical Dashboard (v6)### **TradingView Indicator Description** --- **Title:** Enhanced MTF Technical Dashboard (v6) **Description:** The **Enhanced MTF Technical Dashboard** is a powerful, multi-timeframe technical analysis tool designed to give traders deep insights into key indicators like **MACD**, **RSI**, and **EMA** across four customizable timeframes. This dashboard combines the flexibility of multi-timeframe analysis with the precision of trend and momentum indicators to help you make better trading decisions. --- **Features:** 1. **Multi-Timeframe Analysis** - Analyze MACD, RSI, and EMA across **four timeframes** of your choice (TF1, TF2, TF3, TF4). - Customizable timeframes for short-term, medium-term, and long-term strategies. 2. **Indicators Included** - **MACD:** Includes value, signal line, histogram, and trend direction for each timeframe. - **EMA:** Fast, medium, and slow EMA calculations with alignment and trend conditions. - **RSI:** Relative Strength Index with overbought/oversold conditions, states, and trends. 3. **Customizable Dashboard Table** - Displays all indicator data in a compact table on the chart. - Allows for quick comparison across different timeframes for actionable insights. 4. **Exportable Data for Analysis** - Hidden plots allow you to export indicator data (e.g., MACD histogram, RSI values) to CSV format for further analysis. 5. **Trend Highlighting** - Highlight bullish and bearish zones on the chart for better visualization of the current market state. 6. **Flexible Inputs** - Fully customizable indicator parameters: - Adjustable MACD, EMA, and RSI settings. - Timeframe flexibility to fit your trading style. --- **How to Use:** 1. **Configure Timeframes:** Choose four timeframes (e.g., 15m, 1h, 4h, 1D) that align with your trading strategy. 2. **Adjust Parameters:** Modify MACD, EMA, and RSI settings to match your trading preferences. 3. **Interpret the Dashboard:** Use the dashboard table to analyze momentum, alignment, and trends across all selected timeframes. 4. **Export Data:** Utilize the CSV export capability to perform advanced analysis outside of TradingView. --- **Who Is This For?** - **Swing Traders:** Identify multi-timeframe alignment and divergence opportunities. - **Day Traders:** Quickly assess short-term trends and momentum. - **Data-Driven Analysts:** Export data for quantitative backtesting and research. --- **Alerts:** Easily add custom alerts to the MACD and RSI signals using TradingView's alert system to receive real-time notifications. --- With the Enhanced MTF Technical Dashboard, gain the edge you need to analyze trends, time entries, and manage trades more effectively. Perfect for traders who rely on detailed technical setups across multiple timeframes. --- Let me know if you'd like to tweak or expand this description further! 💡
Pine Script™ indicator
by WorkingGuru
Enhanced MTF Technical Dashboard (v6)### **TradingView Indicator Description** --- **Title:** Enhanced MTF Technical Dashboard (v6) **Description:** The **Enhanced MTF Technical Dashboard** is a powerful, multi-timeframe technical analysis tool designed to give traders deep insights into key indicators like **MACD**, **RSI**, and **EMA** across four customizable timeframes. This dashboard combines the flexibility of multi-timeframe analysis with the precision of trend and momentum indicators to help you make better trading decisions. --- **Features:** 1. **Multi-Timeframe Analysis** - Analyze MACD, RSI, and EMA across **four timeframes** of your choice (TF1, TF2, TF3, TF4). - Customizable timeframes for short-term, medium-term, and long-term strategies. 2. **Indicators Included** - **MACD:** Includes value, signal line, histogram, and trend direction for each timeframe. - **EMA:** Fast, medium, and slow EMA calculations with alignment and trend conditions. - **RSI:** Relative Strength Index with overbought/oversold conditions, states, and trends. 3. **Customizable Dashboard Table** - Displays all indicator data in a compact table on the chart. - Allows for quick comparison across different timeframes for actionable insights. 4. **Exportable Data for Analysis** - Hidden plots allow you to export indicator data (e.g., MACD histogram, RSI values) to CSV format for further analysis. 5. **Trend Highlighting** - Highlight bullish and bearish zones on the chart for better visualization of the current market state. 6. **Flexible Inputs** - Fully customizable indicator parameters: - Adjustable MACD, EMA, and RSI settings. - Timeframe flexibility to fit your trading style. --- **How to Use:** 1. **Configure Timeframes:** Choose four timeframes (e.g., 15m, 1h, 4h, 1D) that align with your trading strategy. 2. **Adjust Parameters:** Modify MACD, EMA, and RSI settings to match your trading preferences. 3. **Interpret the Dashboard:** Use the dashboard table to analyze momentum, alignment, and trends across all selected timeframes. 4. **Export Data:** Utilize the CSV export capability to perform advanced analysis outside of TradingView. --- **Who Is This For?** - **Swing Traders:** Identify multi-timeframe alignment and divergence opportunities. - **Day Traders:** Quickly assess short-term trends and momentum. - **Data-Driven Analysts:** Export data for quantitative backtesting and research. --- **Alerts:** Easily add custom alerts to the MACD and RSI signals using TradingView's alert system to receive real-time notifications. --- With the Enhanced MTF Technical Dashboard, gain the edge you need to analyze trends, time entries, and manage trades more effectively. Perfect for traders who rely on detailed technical setups across multiple timeframes. --- Let me know if you'd like to tweak or expand this description further! 💡
Pine Script™ indicator
by WorkingGuru
Money Flow ExtendedMoney Flow Extended (MF) Definition The Money Flow Extended (MF) indicator brings together the functionality of the Money Flow Index indicator (MFI) , a tool created by Gene Quong and Avrum Soudack and used in technical analysis for measuring buying and selling pressure, and The Relative Strength Index (RSI) , a well versed momentum based oscillator created by J.Welles Wilder Jr., which is used to measure the speed (velocity) as well as the change (magnitude) of directional price movements. History As the Money Flow Index (MFI) is quite similar to The Relative Strength Index (RSI), essentially the RSI with the added aspect of volume, adding a Moving Average, divergence calculation, oversold and overbought gradients, facilitates the transition from RSI, making the use of MFI pretty similar. What to look for Overbought/Oversold When momentum and price rise fast enough, at a high enough level, eventual the security will be considered overbought. The opposite is also true. When price and momentum fall far enough, they can be considered oversold. Traditional overbought territory starts above 80 and oversold territory starts below 20. These values are subjective however, and a technical analyst can set whichever thresholds they choose. Divergence MF Divergence occurs when there is a difference between what the price action is indicating and what MF is indicating. These differences can be interpreted as an impending reversal. Specifically, there are two types of divergences, bearish and bullish. Bullish MFI Divergence – When price makes a new low but MF makes a higher low. Bearish MFI Divergence – When price makes a new high but MF makes a lower high. Failure Swings Failure swings are another occurrence which can lead to a price reversal. One thing to keep in mind about failure swings is that they are completely independent of price and rely solely on MF. Failure swings consist of four steps and are considered to be either Bullish (buying opportunity) or Bearish (selling opportunity). Bullish Failure Swing MF drops below 20 (considered oversold). MF bounces back above 20. MF pulls back but remains above 20 (remains above oversold) MF breaks out above its previous high. Bearish Failure Swing MF rises above 80 (considered overbought) MF drops back below 80 MF rises slightly but remains below 80 (remains below overbought) MF drops lower than its previous low. Summary The Money Flow Extended (MF) can be a very valuable technical analysis tool. Of course, MF should not be used alone as the sole source for a trader’s signals or setups. MF can be combined with additional indicators or chart pattern analysis to increase its effectiveness. Inputs Length The time period to be used in calculating the MF. 14 is the default. Pivot Loopback After how many bars you want the divergence to show, on the scale of 1-5. 5 is the default. Calculate Divergence Calculating divergences is needed in order for divergence alerts to fire. Moving Average section You can learn more about the inputs in the "Moving Average" section in this Help Center article . Style MF Can toggle the visibility of the MF as well as the visibility of a price line showing the actual current value of the MF. Can also select the MF Line's color, line thickness and visual style. MF-based MA Can toggle the visibility of the MF-based MA as well as the visibility of a price line showing the actual current MA value. Can also select its color, line thickness and line style. MF Upper Band Can toggle the visibility of the Upper Band as well as sets the boundary, on the scale of 1-100, for the Upper Band (80 is the default). The color, line thickness and line style can also be determined. MF Middle Band Can toggle the visibility of the Middle Band as well as sets the boundary, on the scale of 1-100, for the Middle Band (50 is the default). The color, line thickness and line style can also be determined. MF Lower Band Can toggle the visibility of the Lower Band as well as sets the boundary, on the scale of 1-100, for the Lower Band (20 is the default). The color, line thickness and line style can also be determined. MF Background Fill Toggles the visibility of a Background color within the MF's boundaries. Can also change the Color itself as well as the opacity. Overbought Gradient Fill Can toggle the visibility of the Overbought Gradient Fill. Can also select its colors combination. Oversold Gradient Fill Can toggle the visibility of the Oversold Gradient Fill. Can also select its colors combination. Precision Sets the number of decimal places to be left on the indicator's value before rounding up. The higher this number, the more decimal points will be on the indicator's value.
Pine Script™ indicator
by alexrainman
3