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Averages

AllMA Trend Radar [trade_lexx]📈 AllMA Trend Radar is your universal trend analysis tool! 📊 What is AllMA Trend Radar? AllMA Trend Radar is a powerful indicator that uses various types of Moving Averages (MA) to analyze trends and generate trading signals. The indicator allows you to choose from more than 30 different types of moving averages and adjust their parameters to suit your trading style. 💡 The main components of the indicator 📈 Fast and slow moving averages The indicator uses two main lines: - Fast MA (blue line): reacts faster to price changes - Slow MA (red line): smoother, reflects a long-term trend The combined use of fast and slow MA allows you to get trend confirmation and entry/exit points from the market. 🔄 Wide range of moving averages There are more than 30 types of moving averages at your disposal: - SMA: Simple moving average - EMA: Exponential moving average - WMA: Weighted moving average - DEMA: double exponential MA - TEMA: triple exponential MA - HMA: Hull Moving Average - LSMA: Moving average of least squares - JMA: Eureka Moving Average - ALMA: Arnaud Legoux Moving Average - ZLEMA: moving average with zero delay - And many others! 🔍 Indicator signals 1️⃣ Fast 🆚 Slow MA signals (intersection and ratio of fast and slow MA) Up/Down signals (intersection) - Buy (Up) signal: - What happens: the fast MA crosses the slow MA from bottom to top - What does the green triangle with the "Buy" label under the candle look like - What does it mean: a likely upward trend reversal or an uptrend strengthening - Sell signal (Down): - What happens: the fast MA crosses the slow MA from top to bottom - What does it look like: a red triangle with a "Sell" mark above the candle - What does it mean: a likely downtrend reversal or an increase in the downtrend Greater/Less signals (ratio) - Buy signal (Greater): - What happens: the fast MA becomes higher than the slow MA - What does it look like: a green triangle with a "Buy" label under the candle - What does it mean: the formation or confirmation of an uptrend - Sell signal (Less): - What happens: the fast MA becomes lower than the slow MA - What does it look like: a red triangle with a "Sell" mark above the candle - What does it mean: the formation or confirmation of a downtrend 2️⃣ Signals ⚡️ Fast MA (fast MA and price) Up/Down signals (intersection) - Buy signal (Up Fast): - What happens: the price crosses the fast MA from bottom to top - What does it look like: a green triangle with a "Buy" label under the candle - What does it mean: a short-term price growth signal - Sell signal (Down Fast): - What happens: the price crosses the fast MA from top to bottom - What does it look like: a red triangle with a "Sell" label above the candle - What does it mean: a short-term price drop signal Greater/Less signals (ratio) - Buy signal (Greater Fast): - What happens: the price is getting higher than the fast MA - What does it look like: a green triangle with a "Buy" label under the candle - What does it mean: the price is above the fast MA, which indicates an upward movement - Sell signal (Less Fast): - What happens: the price is getting lower than the fast MA - What does it look like: a red triangle with a "Sell" mark above the candle - What does it mean: the price is under the fast MA, which indicates a downward movement 3️⃣ Signals 🐢 Slow MA (slow MA and price) Up/Down signals (intersection) - Buy signal (Up Slow): - What happens: the price crosses the slow MA from bottom to top - What does it look like: a green triangle with a "Buy" label under the candle - What does it mean: a potential medium-term upward trend reversal - Sell signal (Down Slow): - What happens: the price crosses the slow MA from top to bottom - What does it look like: a red triangle with a "Sell" label above the candle - What does it mean: a potential medium-term downward trend reversal Greater/Less signals (ratio) - Buy signal (Greater Slow): - What happens: the price is getting above the slow MA - What does it look like: a green triangle with a "Buy" label under the candle - What does it mean: the price is above the slow MA, which indicates a strong upward movement - Sell signal (Less Slow): - What is happening: the price is getting below the slow MA - What does it look like: a red triangle with a "Sell" mark above the candle - What does it mean: the price is under the slow MA, which indicates a strong downward movement 🛠 Filters to filter out false signals 1️⃣ Minimum distance between the signals - What it does: sets the minimum number of candles between signals of the same type - Why it is needed: it prevents the appearance of too frequent signals, especially during periods of high volatility - How to set it up: Set a different value for each signal type (default: 3-5 bars) - Example: if the value is 3 for Up/Down signals, after the buy signal appears, the next buy signal may appear no earlier than 3 bars later 2️⃣ Advanced indicator filters 🔍 RSI Filter - What it does: Checks the Relative Strength Index (RSI) value before generating a signal - Why it is needed: it helps to avoid countertrend entries and catch reversal points - How to set up: - For buy signals (🔋 Buy): set the RSI range, usually in the oversold zone (for example, 1-30) - For sell signals (🪫 Sell): set the RSI range, usually in the overbought zone (for example, 70-100) - Example: if the RSI = 25 (in the range 1-30), the buy signal will be confirmed 📊 MFI Filter (Cash Flow Index) - What it does: analyzes volumes and the direction of price movement - Why it is needed: confirms signals with data on the activity of cash flows - How to set up: - For buy signals (🔋 Buy): set the MFI range in the oversold zone (for example, 1-25) - For sell signals (🪫 Sell): set the MFI range in the overbought zone (for example, 75-100) - Example: if MFI = 80 (in the range of 75-100), the sell signal will be confirmed 📈 Stochastic Filter - What it does: analyzes the position of the current price relative to the price range - Why it is needed: confirms signals based on overbought/oversold conditions - How to configure: - You can configure the K Length, D Length and Smoothing parameters - For buy signals (🔋 Buy): set the stochastic range in the oversold zone (for example, 1-20) - For sell signals (🪫 Sell): set the stochastic range in the overbought zone (for example, 80-100) - Example: if stochastic = 15 (is in the range of 1-20), the buy signal will be confirmed 🔌 Connecting to trading strategies The indicator provides various connectors to connect to your trading strategies.: 1️⃣ Individual connectors for each type of signal - 🔌Fast vs Slow Up/Down MA Signal🔌: signals for the intersection of fast and slow MA - 🔌Fast vs Slow Greater/Less MA Signal🔌: signals of the ratio of fast and slow MA - 🔌Fast Up/Down MA Signal🔌: signals of the intersection of price and fast MA - 🔌Fast Greater/Less MA Signal🔌: signals of the ratio of price and fast MA - 🔌Slow Up/Down MA Signal🔌: signals of the intersection of price and slow MA - 🔌Slow Greater/Less MA Signal🔌: Price versus slow MA signals 2️⃣ Combined connectors - 🔌Combined Up/Down MA Signal🔌: combines all the crossing signals (Up/Down) - 🔌Combined Greater/Less MA Signal🔌: combines all the signals of the ratio (Greater/Less) - 🔌Combined All MA Signals🔌: combines all signals (Up/Down and Greater/Less) ❗️ All connectors return values: - 1: buy signal - -1: sell signal - 0: no signal 📚 How to start using AllMA Trend Radar 1️⃣ Selection of types of moving averages - Add an indicator to the chart - Select the type and period for the fast MA (default: DEMA with a period of 14) - Select the type and period for the slow MA (default: SMA with a period of 14) - Experiment with different types of MA to find the best combination for your trading style 2️⃣ Signal settings - Turn on the desired signal types (Up/Down, Greater/Less) - Set the minimum distance between the signals - Activate and configure the necessary filters (RSI, MFI, Stochastic) 3️⃣ Checking on historical data - Analyze how the indicator works based on historical data - Pay attention to the accuracy of the signals and the presence of false alarms - Adjust the settings if necessary 4️⃣ Introduction to the trading strategy - Decide which signals will be used to enter the position. - Determine which signals will be used to exit the position. - Connect the indicator to your trading strategy through the appropriate connectors 🌟 Practical application examples Scalping strategy - Fast MA: TEMA with a period of 8 - Slow MA: EMA with a period of 21 - Active signals: Fast MA Up/Down - Filters: RSI (range 1-40 for purchases, 60-100 for sales) - Signal spacing: 3 bars Strategy for day trading - Fast MA: TEMA with a period of 10 - Slow MA: SMA with a period of 20 - Active signals: Fast MA Up/Down and Fast vs Slow Greater/Less - Filters: MFI (range 1-25 for purchases, 75-100 for sales) - Signal spacing: 5 bars Swing Trading Strategy - Fast MA: DEMA with a period of 14 - Slow MA: VWMA with a period of 30 - Active signals: Fast vs Slow Up/Down and Slow MA Greater/Less - Filters: Stochastic (range 1-20 for purchases, 80-100 for sales) - Signal spacing: 8 bars A strategy for positional trading - Fast MA: HMA with a period of 21 - Slow MA: SMA with a period of 50 - Active signals: Slow MA Up/Down and Fast vs Slow Greater/Less - Filters: RSI and MFI at the same time - The distance between the signals: 10 bars 💡 Tips for using AllMA Trend Radar 1. Select the types of MA for market conditions: - For trending markets: DEMA, TEMA, HMA (fast MA) - For sideways markets: SMA, WMA, VWMA (smoothed MA) - For volatile markets: KAMA, AMA, VAMA (adaptive MA) 2. Combine different types of signals: - Up/Down signals work better when moving from a sideways trend to a directional one - Greater/Less signals are optimal for fixing a stable trend 3. Use filters effectively: - The RSI filter works great in trending markets - MFI filter helps to confirm the strength of volume movement - Stochastic filter works well in lateral ranges 4. Adjust the minimum distance between the signals: - Small values (2-3 bars) for short-term trading - Average values (5-8 bars) for medium-term trading - Large values (10+ bars) for long-term trading 5. Use combination connectors: - For more reliable signals, connect the indicator through the combined connectors 💰 With the AllMA Trend Radar indicator, you get a universal trend analysis tool that can be customized for any trading style and timeframe. The combination of different types of moving averages and advanced filters allows you to significantly improve the accuracy of signals and the effectiveness of your trading strategy!
Pine Script® 인디케이터
trade_lexx의
Moving Average Shift WaveTrend StrategyMoving Average Shift WaveTrend Strategy 🧭 Overview The Moving Average Shift WaveTrend Strategy is a trend-following and momentum-based trading system designed to be overlayed on TradingView charts. It executes trades based on the confluence of multiple technical conditions—volatility, session timing, trend direction, and oscillator momentum—to deliver logical and systematic trade entries and exits. 🎯 Strategy Objectives Enter trades aligned with the prevailing long-term trend Exit trades on confirmed momentum reversals Avoid false signals using session timing and volatility filters Apply structured risk management with automatic TP, SL, and trailing stops ⚙️ Key Features Selectable MA types: SMA, EMA, SMMA (RMA), WMA, VWMA Dual-filter logic using a custom oscillator and moving averages Session and volatility filters to eliminate low-quality setups Trailing stop, configurable Take Profit / Stop Loss logic “In-wave flag” prevents overtrading within the same trend wave Visual clarity with color-shifting candles and entry/exit markers 📈 Trading Rules ✅ Long Entry Conditions: Price is above the selected MA Oscillator is positive and rising 200-period EMA indicates an uptrend ATR exceeds its median value (sufficient volatility) Entry occurs between 09:00–17:00 (exchange time) Not currently in an active wave 🔻 Short Entry Conditions: Price is below the selected MA Oscillator is negative and falling 200-period EMA indicates a downtrend All other long-entry conditions are inverted ❌ Exit Conditions: Take Profit or Stop Loss is hit Opposing signals from oscillator and MA Trailing stop is triggered 🛡️ Risk Management Parameters Pair: ETH/USD Timeframe: 4H Starting Capital: $3,000 Commission: 0.02% Slippage: 2 pips Risk per Trade: 2% of account equity (adjustable) Total Trades: 224 Backtest Period: May 24, 2016 — April 7, 2025 Note: Risk parameters are fully customizable to suit your trading style and broker conditions. 🔧 Trading Parameters & Filters Time Filter: Trades allowed only between 09:00–17:00 (exchange time) Volatility Filter: ATR must be above its median value Trend Filter: Long-term 200-period EMA 📊 Technical Settings Moving Average Type: SMA Length: 40 Source: hl2 Oscillator Length: 15 Threshold: 0.5 Risk Management Take Profit: 1.5% Stop Loss: 1.0% Trailing Stop: 1.0% 👁️ Visual Support MA and oscillator color changes indicate directional bias Clear chart markers show entry and exit points Trailing stops and risk controls are transparently managed 🚀 Strategy Improvements & Uniqueness In-wave flag avoids repeated entries within the same trend phase Filtering based on time, volatility, and trend ensures higher-quality trades Dynamic high/low tracking allows precise trailing stop placement Fully rule-based execution reduces emotional decision-making 💡 Inspirations & Attribution This strategy is inspired by the excellent concept from: ChartPrime – “Moving Average Shift” It expands on the original idea with advanced trade filters and trailing logic. Source reference: 📌 Summary The Moving Average Shift WaveTrend Strategy offers a rule-based, reliable approach to trend trading. By combining trend and momentum filters with robust risk controls, it provides a consistent framework suitable for various market conditions and trading styles. ⚠️ Disclaimer This script is for educational purposes only. Trading involves risk. Always use proper backtesting and risk evaluation before applying in live markets.
Pine Script™ 전략
PakunFX의
PClose Levels 2.0This script plots the levels generated via a combination of SPX 2Y Quartiles for everyday, red days, and green days. It is intended for use solely with SPX. These quartiles are also sorted by VIX averages into bands that expand and contract with VIX. It gives us an idea of what levels to potentially expect resistance/support fairly well, but is designed to be used in conjunction with other indicators and macroeconomic information. Green Dashed is your Expected Max Range (EMR+) based on Green Day averages. Green Dotted is your Expected Range (ER+) based on full dataset averages. Green solid lines are POS2 and POS1, based on Green Day averages. White Dotted is your Expected Move (EM), based on full dataset averages. Red solid lines are NEG1 and NEG2, based on Red Day averages. Red Dotted is your Expected Range (ER-) based on full dataset averages. Red Dashed is your Expected Max Range (EMR-) based on Red Day averages.
Pine Script® 인디케이터
TheWaysian의
3
MTF Signal XpertMTF Signal Xpert – Detailed Description Overview: MTF Signal Xpert is a proprietary, open‑source trading signal indicator that fuses multiple technical analysis methods into one cohesive strategy. Developed after rigorous backtesting and extensive research, this advanced tool is designed to deliver clear BUY and SELL signals by analyzing trend, momentum, and volatility across various timeframes. Its integrated approach not only enhances signal reliability but also incorporates dynamic risk management, helping traders protect their capital while navigating complex market conditions. Detailed Explanation of How It Works: Trend Detection via Moving Averages Dual Moving Averages: MTF Signal Xpert computes two moving averages—a fast MA and a slow MA—with the flexibility to choose from Simple (SMA), Exponential (EMA), or Hull (HMA) methods. This dual-MA system helps identify the prevailing market trend by contrasting short-term momentum with longer-term trends. Crossover Logic: A BUY signal is initiated when the fast MA crosses above the slow MA, coupled with the condition that the current price is above the lower Bollinger Band. This suggests that the market may be emerging from a lower price region. Conversely, a SELL signal is generated when the fast MA crosses below the slow MA and the price is below the upper Bollinger Band, indicating potential bearish pressure. Recent Crossover Confirmation: To ensure that signals reflect current market dynamics, the script tracks the number of bars since the moving average crossover event. Only crossovers that occur within a user-defined “candle confirmation” period are considered, which helps filter out outdated signals and improves overall signal accuracy. Volatility and Price Extremes with Bollinger Bands Calculation of Bands: Bollinger Bands are calculated using a 20‑period simple moving average as the central basis, with the upper and lower bands derived from a standard deviation multiplier. This creates dynamic boundaries that adjust according to recent market volatility. Signal Reinforcement: For BUY signals, the condition that the price is above the lower Bollinger Band suggests an undervalued market condition, while for SELL signals, the price falling below the upper Bollinger Band reinforces the bearish bias. This volatility context adds depth to the moving average crossover signals. Momentum Confirmation Using Multiple Oscillators RSI (Relative Strength Index): The RSI is computed over 14 periods to determine if the market is in an overbought or oversold state. Only readings within an optimal range (defined by user inputs) validate the signal, ensuring that entries are made during balanced conditions. MACD (Moving Average Convergence Divergence): The MACD line is compared with its signal line to assess momentum. A bullish scenario is confirmed when the MACD line is above the signal line, while a bearish scenario is indicated when it is below, thus adding another layer of confirmation. Awesome Oscillator (AO): The AO measures the difference between short-term and long-term simple moving averages of the median price. Positive AO values support BUY signals, while negative values back SELL signals, offering additional momentum insight. ADX (Average Directional Index): The ADX quantifies trend strength. MTF Signal Xpert only considers signals when the ADX value exceeds a specified threshold, ensuring that trades are taken in strongly trending markets. Optional Stochastic Oscillator: An optional stochastic oscillator filter can be enabled to further refine signals. It checks for overbought conditions (supporting SELL signals) or oversold conditions (supporting BUY signals), thus reducing ambiguity. Multi-Timeframe Verification Higher Timeframe Filter: To align short-term signals with broader market trends, the script calculates an EMA on a higher timeframe as specified by the user. This multi-timeframe approach helps ensure that signals on the primary chart are consistent with the overall trend, thereby reducing false signals. Dynamic Risk Management with ATR ATR-Based Calculations: The Average True Range (ATR) is used to measure current market volatility. This value is multiplied by a user-defined factor to dynamically determine stop loss (SL) and take profit (TP) levels, adapting to changing market conditions. Visual SL/TP Markers: The calculated SL and TP levels are plotted on the chart as distinct colored dots, enabling traders to quickly identify recommended exit points. Optional Trailing Stop: An optional trailing stop feature is available, which adjusts the stop loss as the trade moves favorably, helping to lock in profits while protecting against sudden reversals. Risk/Reward Ratio Calculation: MTF Signal Xpert computes a risk/reward ratio based on the dynamic SL and TP levels. This quantitative measure allows traders to assess whether the potential reward justifies the risk associated with a trade. Condition Weighting and Signal Scoring Binary Condition Checks: Each technical condition—ranging from moving average crossovers, Bollinger Band positioning, and RSI range to MACD, AO, ADX, and volume filters—is assigned a binary score (1 if met, 0 if not). Cumulative Scoring: These individual scores are summed to generate cumulative bullish and bearish scores, quantifying the overall strength of the signal and providing traders with an objective measure of its viability. Detailed Signal Explanation: A comprehensive explanation string is generated, outlining which conditions contributed to the current BUY or SELL signal. This explanation is displayed on an on‑chart dashboard, offering transparency and clarity into the signal generation process. On-Chart Visualizations and Debug Information Chart Elements: The indicator plots all key components—moving averages, Bollinger Bands, SL and TP markers—directly on the chart, providing a clear visual framework for understanding market conditions. Combined Dashboard: A dedicated dashboard displays key metrics such as RSI, ADX, and the bullish/bearish scores, alongside a detailed explanation of the current signal. This consolidated view allows traders to quickly grasp the underlying logic. Debug Table (Optional): For advanced users, an optional debug table is available. This table breaks down each individual condition, indicating which criteria were met or not met, thus aiding in further analysis and strategy refinement. Mashup Justification and Originality MTF Signal Xpert is more than just an aggregation of existing indicators—it is an original synthesis designed to address real-world trading complexities. Here’s how its components work together: Integrated Trend, Volatility, and Momentum Analysis: By combining moving averages, Bollinger Bands, and multiple oscillators (RSI, MACD, AO, ADX, and an optional stochastic), the indicator captures diverse market dynamics. Each component reinforces the others, reducing noise and filtering out false signals. Multi-Timeframe Analysis: The inclusion of a higher timeframe filter aligns short-term signals with longer-term trends, enhancing overall reliability and reducing the potential for contradictory signals. Adaptive Risk Management: Dynamic stop loss and take profit levels, determined using ATR, ensure that the risk management strategy adapts to current market conditions. The optional trailing stop further refines this approach, protecting profits as the market evolves. Quantitative Signal Scoring: The condition weighting system provides an objective measure of signal strength, giving traders clear insight into how each technical component contributes to the final decision. How to Use MTF Signal Xpert: Input Customization: Adjust the moving average type and period settings, ATR multipliers, and oscillator thresholds to align with your trading style and the specific market conditions. Enable or disable the optional stochastic oscillator and trailing stop based on your preference. Interpreting the Signals: When a BUY or SELL signal appears, refer to the on‑chart dashboard, which displays key metrics (e.g., RSI, ADX, bullish/bearish scores) along with a detailed breakdown of the conditions that triggered the signal. Review the SL and TP markers on the chart to understand the associated risk/reward setup. Risk Management: Use the dynamically calculated stop loss and take profit levels as guidelines for setting your exit points. Evaluate the provided risk/reward ratio to ensure that the potential reward justifies the risk before entering a trade. Debugging and Verification: Advanced users can enable the debug table to see a condition-by-condition breakdown of the signal generation process, helping refine the strategy and deepen understanding of market dynamics. Disclaimer: MTF Signal Xpert is intended for educational and analytical purposes only. Although it is based on robust technical analysis methods and has undergone extensive backtesting, past performance is not indicative of future results. Traders should employ proper risk management and adjust the settings to suit their financial circumstances and risk tolerance. MTF Signal Xpert represents a comprehensive, original approach to trading signal generation. By blending trend detection, volatility assessment, momentum analysis, multi-timeframe alignment, and adaptive risk management into one integrated system, it provides traders with actionable signals and the transparency needed to understand the logic behind them.
Pine Script® 인디케이터
EnviAI의
Ultra Moving AverageThe Ultra Moving Average is a versatile technical indicator that combines various types of moving averages to analyze trends, providing multi-timeframe insights for traders. It offers four customizable moving averages and a trend strength table for enhanced decision-making. Introduction The Ultra Moving Average indicator is a powerful tool designed to help traders track market trends by offering a combination of four distinct moving averages. With flexible customization options, users can apply different types of moving averages like SMA, EMA, TEMA, and many more, across various timeframes. Additionally, it provides trend strength analysis through an intuitive visual table, helping traders quickly identify market conditions. Detailed Description ......... Moving Averages Each of the four moving averages is independently configurable. You can select the timeframe, type, length, color, and width to match your trading strategy. The types of moving averages range from traditional ones like the Simple Moving Average (SMA) to advanced ones like the Double Expotential Moving Average (DEMA) or the Triple Exponential Moving Average (TEMA) or the Recursive Moving Average (RMA) or the Weigthend Moving Average (WMA) or the Volume Weigthend Moving Average (VWMA) or Hull Moving Average (HMA). Very Special ones are the Triple Weigthend Moving Average (TWMA) wich created RedKTrader . I created the Multi Weigthend Moving Average (MWMA) wich is a simple signal line to the TWMA. ..... Trend Visualization The indicator uses color-coding to visually represent whether the price is in an uptrend or downtrend. Bullish trends are highlighted in one color, while bearish trends appear in another, making it easy to interpret. ..... Trend Strength Table One of the unique features of the Ultra Moving Average is the trend strength table at the bottom of the chart. This table breaks down the strength of the fast, mid, and slow moving averages, displaying them as percentages. It also shows the overall "trend power," which helps assess how strong or weak the current trend is. You have the option to calculate trends using live data or the previous bar's data, offering flexibility in how the indicator reacts to market changes. This can help traders make more responsive decisions based on real-time trends. The table displays trend strength across three timeframes Fast, Mid, and Slow by calculating the percentage difference between the price and each of the moving averages (MA1, MA3, MA4). The Power row shows the average of these percentages, representing overall trend strength. The percentages are calculated relative to their maximum values in history (limited by TradingView subscription), providing insight into the trend's strength for each timeframe. ......... Overall, the Ultra Moving Average indicator is a comprehensive tool that combines multiple moving average types and advanced trend analysis, helping traders identify market direction and strength at a glance. With its intuitive visualization and flexible settings, it's suited for both beginner and experienced traders. Special Thanks I use the TWMA-Function created from RedKTrader to smooth the values. Special thanks to him for creating and sharing this function!
Pine Script® 인디케이터
Rathack의
3
Kenji Indicator Version 2.0KenJi Indicator Version 2.0 Indicator Class : Average analysis/trend following Trading type : Any Time frame : Any Purpose : Trend-based trading Level of aggressiveness : Flexible Introduction The basic rule of trading is as follows: "trend is your friend." Means, it is extremely important to follow the current market sentiments rather than resisting them. Following this principle allows a trader to feel as comfortable as possible during the trading: positions typically are in a profit zone and there is no psychological pressure of a negative financial result that often leads to hasty position closures. Despite the advantages of trend-following strategies, many traders struggle to accurately identify the prevailing trend and market sentiments, resulting in bad trading decisions and, consequently, unfavorable trading outcomes. To address these challenges, streamline the analysis process, and enhance the overall quality of trading decisions, our team of analysts has developed The KenJi Indicator Version 2.0. About the KenJi Indicator Version 2.0 The KenJi Indicator Version 2.0 offers a novel approach to traditional average-based analysis. Many conventional strategies relying on averages tend to generate numerous false signals, especially in “flat” markets where frequent crossovers and shifts in direction are common. This reduces the overall effectiveness of average analysis. The KenJi Indicator Version 2.0 addresses these issues by incorporating a unique algorithm, which combines correlation and moving average analysis to avoid the pitfalls of traditional methods. It accurately identifies market conditions—indicated by colors: red for a downtrend, blue for an uptrend, and green for a “flat” market—thereby improving the quality of signals and helping traders manage trends more effectively. The KenJi Indicator Version 2.0 indicator not only identifies optimal entry points but also assists in timing exits for profit-taking. Moreover, it assesses the aggressiveness of signals, making it suitable for both novice and experienced traders. Trading Rules Using the KenJi Indicator Version 2.0 is straightforward. When the price enters the buy or sell zone—represented by a blue or red area between the fast and slow averages—it generates a signal to enter a position. This position remains active until the market condition changes (such as a shift from a downtrend to “flat”) or until a close signal appears, indicated by a significant divergence shown by a blue or red cross. Indicator Structure The KenJi Indicator Version 2.0 consists of colored zones, level lines and stop crosses: Trend Zones : These are color-coded (blue, red, or green) to highlight trend conditions and entry points. Level Lines : The lines indicate the nearest support/resistance lines (red for resistance, blue for support). Available for 4H time-frame and below Stop Crosses : Blue or Red crosses are displayed on the Chart to show the moments of extreme price divergence from the current trend. A good moment to fix profits. For ease of use, the indicator shows buy and sell signals directly on the chart. Signal Types: Standard : Uses the basic lot size for trades. Aggressive : Uses double the standard lot size for higher risk/reward trades. Profit zones are marked by blue/red x-crosses: red x-crosses indicate "sell" take-profit zones, while blue x-crosses indicate "buy" take-profit zones. Alerts and Notifications The indicator includes built-in alerts and notifications, ensuring traders don’t miss any "buy" or "sell" signals. Input Parameters The KenJi Indicator Version 2.0 offers several input parameters for customization: Slow Average Period : Defines the period for the slow average. Longer periods provide a more stable, conservative response to price changes. Fast Average Period : Defines the period for the fast average. Similar to the slow average, a longer period provides more conservative signals. Correlation Period : Used to calculate the Pearson correlation coefficient and estimate the relationship between the fast and slow averages, improving trend identification. Divergence Sensitivity : Determines the placement of take-profit zones, with higher values increasing the distance of these zones. Access to the KenJi Indicator Version 2.0 For more information or to request access to the Kenji 2.0 Indicator, please send inquiries via private messages.
Pine Script® 인디케이터
KenJi_Indicator_2의
ADV_RSIADV_RSI - Advanced Relative Strength Index Description: The ADV_RSI indicator is an advanced and mutated version of the classic Relative Strength Index (RSI), enhanced with multiple moving averages and a dynamic color-coding system. It provides traders with deeper insights into market momentum and potential trend reversals by incorporating two different moving averages of the RSI (21, and 50 periods). The indicator helps to visualize overbought and oversold conditions more effectively and offers a clear, color-coded representation of the RSI value relative to key thresholds. Features: RSI Calculation: The core of the indicator is based on the traditional RSI, calculated over a customizable period. Multiple Moving Averages: The script includes two RSI moving averages (21, and 50 periods) to help identify trend strength and potential reversal points. Dynamic RSI Color Coding: The RSI line is color-coded based on its value, ranging from red for overbought conditions to aqua for oversold conditions. This makes it easier to interpret the market's momentum at a glance. Threshold Bands: The indicator includes horizontal threshold lines at key RSI levels (20, 30, 40, 50, 60, 70, 80), with shaded areas between them, providing a visual aid to quickly identify overbought and oversold zones. How to Use: The RSI line fluctuates between 0 and 100, with traditional overbought and oversold levels set at 70 and 30, respectively. When the RSI crosses above the 70 level, it may indicate overbought conditions, signaling a potential selling opportunity. When the RSI falls below the 30 level, it may indicate oversold conditions, signaling a potential buying opportunity. The included moving averages of the RSI can help confirm trend direction and potential reversals. The color coding of the RSI line provides a quick visual cue for momentum changes. Ideal For: Traders looking for a more nuanced understanding of market momentum. Those who prefer visual aids for quick decision-making in identifying overbought and oversold conditions. Traders who utilize multiple timeframes and need a comprehensive RSI tool for better accuracy in their analysis.
Pine Script® 인디케이터
Ozar의
Three Anchored Moving Averages (VWAP / SMA / EMA) This indicator allows users to anchor three types of moving averages (Simple Moving Average (SMA), Exponential Moving Average (EMA), and Volume Weighted Average Price (VWAP)) to specific points in time (anchor points) Key Features: Select from three Moving Average Types: Simple Moving Average (SMA): Averages the closing prices over a specified period. Exponential Moving Average (EMA): Gives more weight to recent prices, making it more responsive to new information. Volume Weighted Average Price (VWAP): Averages the price weighted by volume, useful for understanding the average price at which the asset has traded over a period. Up to Three Anchor Points: Users can set up to three different anchor points to calculate the moving averages from specific dates and times. This allows for analysis of price action starting from significant points or specific events. For example, you can anchor to the low and high of a move to identify key levels or to points where the price takes off from a previous anchored MA. Customisable Sentiment Options: Each anchor point can be associated with a sentiment input (Auto, Bull, Bear, None), which influences if the MAs are displayed as lines or zones/bands: Auto: Automatically determines the sentiment based on whether anchor points are on pivot highs and lows. If anchored to a pivot high, the system will assume a bearish sentiment and display a red band or zone between the MA OHLC4 and High. Anchoring to a pivot low will display a green band (OHLC4 - Low). Bull: Forces a bullish sentiment (Green Band - OHLC4 to Low) Bear: Forces a bearish sentiment (Red Band - OHLC4 to High) None: Ignores sentiment and displays a single line (OHLC4) Chart Matching: The indicator includes an option to display the moving averages only if the chart symbol matches a specified ticker. This feature ensures that the indicator is relevant to the specific asset being analysed. How to Use the Indicator: 1. Set Anchor Points: When added to your chart, select three anchor points by point and click. If you only wish to anchor to a single point, click on that point three times and disable the other two in settings once the indicator is applied. 2. Select Moving Average Type: Choose between SMA, EMA, or VWAP using the dropdown menu. EMAs are the most responsive. 3. Enable/Disable Anchor Points: Use the checkboxes to enable or disable each anchor point. 4. Select Sentiment Type: Choose between Auto, Bull, Bear, or None. 5. Chart Matching: Optionally, specify a chart symbol to restrict the indicator's display to that particular asset. 6. Interpret the Plots: The indicator plots the high, mid, and low values of the selected moving average type from each anchor point. The fills between these plots help identify potential support and resistance zones. These should be used as points of interest for pullback reversals or potential continuation if the price breaks through. Practical Applications: Trend Analysis: Identify the overall trend direction from specific historical points. Support and Resistance: Determine key dynamic support and resistance levels based on anchored moving averages. Event-Based Analysis: Anchor the moving averages to significant events (e.g., earnings releases, economic data) to study their impact on price trends. Multi Timeframe Analysis: Higher Timeframe Anchors can be used to identify longer term trend analysis. Switching to a lower timeframe for execution triggers at these points wont distort the MA levels as they are anchored to a specific point in time Intraday or Swing Trading: trend analysis using anchor points can be used for any style of trading (Intraday / Swing / Invest). Use anchored levels as points of interest and wait for hints in price action to try and catch the next move.
Pine Script® 인디케이터
IMGPro의
1
Average Session Range [QuantVue]The Average Session Range or ASR is a tool designed to find the average range of a user defined session over a user defined lookback period. Not only is this indicator is useful for understanding volatility and price movement tendencies within sessions, but it also plots dynamic support and resistance levels based on the ASR. The average session range is calculated over a specific period (default 14 sessions) by averaging the range (high - low) for each session. Knowing what the ASR is allows the user to determine if current price action is normal or abnormal. When a new session begins, potential support and resistance levels are calculated by breaking the ASR into quartiles which are then added and subtracted from the sessions opening price. The indicator also shows an ASR label so traders can know what the ASR is in terms of dollars. Session Time Configuration: The indicator allows users to define the session time, with default timing set from 13:00 to 22:00. ASR Calculation: The ASR is calculated over a specified period (default 14 sessions) by averaging the range (high - low) of each session. Various levels based on the ASR are computed: 0.25 ASR, 0.5 ASR, 0.75 ASR, 1 ASR, 1.25 ASR, 1.5 ASR, 1.75 ASR, and 2 ASR. Visual Representation: The indicator plots lines on the chart representing different ASR levels. Customize the visibility, color, width, and style (Solid, Dashed, Dotted) of these lines for better visualization. Labels for these lines can also be displayed, with customizable positions and text properties. Give this indicator a BOOST and COMMENT your thoughts! We hope you enjoy. Cheers!
Pine Script® 인디케이터
QuantVue의
8
Bayesian Trend Indicator [ChartPrime]Bayesian Trend Indicator Overview: In probability theory and statistics, Bayes' theorem (alternatively Bayes' law or Bayes' rule), named after Thomas Bayes, describes the probability of an event, based on prior knowledge of conditions that might be related to the event. The "Bayesian Trend Indicator" is a sophisticated technical analysis tool designed to assess the direction of price trends in financial markets. It combines the principles of Bayesian probability theory with moving average analysis to provide traders with a comprehensive understanding of market sentiment and potential trend reversals. At its core, the indicator utilizes multiple moving averages, including the Exponential Moving Average (EMA), Simple Moving Average (SMA), Double Exponential Moving Average (DEMA), and Volume Weighted Moving Average (VWMA) . These moving averages are calculated based on user-defined parameters such as length and gap length, allowing traders to customize the indicator to suit their trading strategies and preferences. The indicator begins by calculating the trend for both fast and slow moving averages using a Smoothed Gradient Signal Function. This function assigns a numerical value to each data point based on its relationship with historical data, indicating the strength and direction of the trend. // Smoothed Gradient Signal Function sig(float src, gap)=> ta.ema(source >= src ? 1 : source >= src ? 0.9 : source >= src ? 0.8 : source >= src ? 0.7 : source >= src ? 0.6 : source >= src ? 0.5 : source >= src ? 0.4 : source >= src ? 0.3 : source >= src ? 0.2 : source >= src ? 0.1 : 0, 4) Next, the indicator calculates prior probabilities using the trend information from the slow moving averages and likelihood probabilities using the trend information from the fast moving averages . These probabilities represent the likelihood of an uptrend or downtrend based on historical data. // Define prior probabilities using moving averages prior_up = (ema_trend + sma_trend + dema_trend + vwma_trend) / 4 prior_down = 1 - prior_up // Define likelihoods using faster moving averages likelihood_up = (ema_trend_fast + sma_trend_fast + dema_trend_fast + vwma_trend_fast) / 4 likelihood_down = 1 - likelihood_up Using Bayes' theorem , the indicator then combines the prior and likelihood probabilities to calculate posterior probabilities, which reflect the updated probability of an uptrend or downtrend given the current market conditions. These posterior probabilities serve as a key signal for traders, informing them about the prevailing market sentiment and potential trend reversals. // Calculate posterior probabilities using Bayes' theorem posterior_up = prior_up * likelihood_up / (prior_up * likelihood_up + prior_down * likelihood_down) Key Features: ◆ The trend direction: To visually represent the trend direction , the indicator colors the bars on the chart based on the posterior probabilities. Bars are colored green to indicate an uptrend when the posterior probability is greater than 0.5 (>50%), while bars are colored red to indicate a downtrend when the posterior probability is less than 0.5 (<50%). ◆ Dashboard on the chart Additionally, the indicator displays a dashboard on the chart , providing traders with detailed information about the probability of an uptrend , as well as the trends for each type of moving average. This dashboard serves as a valuable reference for traders to monitor trend strength and make informed trading decisions. ◆ Probability labels and signals: Furthermore, the indicator includes probability labels and signals , which are displayed near the corresponding bars on the chart. These labels indicate the posterior probability of a trend, while small diamonds above or below bars indicate crossover or crossunder events when the posterior probability crosses the 0.5 threshold (50%). The posterior probability of a trend Crossover or Crossunder events ◆ User Inputs Source: Description: Defines the price source for the indicator's calculations. Users can select between different price values like close, open, high, low, etc. MA's Length: Description: Sets the length for the moving averages used in the trend calculations. A larger length will smooth out the moving averages, making the indicator less sensitive to short-term fluctuations. Gap Length Between Fast and Slow MA's: Description: Determines the difference in lengths between the slow and fast moving averages. A higher gap length will increase the difference, potentially identifying stronger trend signals. Gap Signals: Description: Defines the gap used for the smoothed gradient signal function. This parameter affects the sensitivity of the trend signals by setting the number of bars used in the signal calculations. In summary, the "Bayesian Trend Indicator" is a powerful tool that leverages Bayesian probability theory and moving average analysis to help traders identify trend direction, assess market sentiment, and make informed trading decisions in various financial markets.
Pine Script® 인디케이터
ChartPrime의
24
Dual SMA/EMA BandsThe Dual SMA/EMA Bands indicator provides a clear view of market trends, combining Simple Moving Averages (SMA) and Exponential Moving Averages (EMA) in one customizable tool. Designed for any timeframe, it features Aqua and Purple Bands for 50-period and 200-period averages , respectively, aiding in trend analysis and volatility insights. Features: Adaptive Timeframes : Automatically aligns with the chart’s timeframe or can be manually set for cross-timeframe analysis. Customization : Offers easy adjustments for colors, line thickness, and opacity to suit personal preferences and enhance readability. Insights : Facilitates trend confirmation and volatility assessment, essential for informed trading decisions. Usage Tips: Use the bands to gauge market direction; above the bands suggests bullish conditions, below them indicates bearish trends. The gap between EMA and SMA within each band can signal market volatility. Apply customizable timeframes for a comprehensive market overview. Conclusion: With its straightforward setup and versatile application, the Dual SMA/EMA Bands indicator is a valuable tool for traders looking to deepen their market analysis and uncover trading opportunities.
Pine Script® 인디케이터
public_html의
1
Inverted EMAThe concept of an inverted Exponential Moving Average (EMA) isn't commonly used in traditional technical analysis or trading strategies. Inverting the EMA essentially means taking the reciprocal of the EMA values. While it may not have widespread use or recognition, here are some potential considerations or interpretations for the inverted EMA: 1. **Inverse Trend Indicator:** - Inverting the EMA might be considered as an alternative approach to trend analysis. When the inverted EMA is rising, it could suggest a potential bearish trend, and when it is falling, it might indicate a bullish trend. Traders might explore using this as a contrarian or unconventional trend indicator. 2. **Volatility Indicator:** - The inverted EMA might be used as a measure of volatility. When the values are fluctuating rapidly, it could imply increased volatility in the underlying asset. This could be useful for traders who are interested in gauging market dynamics. 3. **Divergence Analysis:** - Traders may explore divergences between price and the inverted EMA. For instance, if prices are making new highs, but the inverted EMA is not, it could signal potential weakness or divergence in the bullish trend. 4. **Inverse Moving Average Crossovers:** - In the context of moving average crossovers, traders usually look for crossovers between shorter and longer EMAs as potential signals. Inverting this concept, crossovers between inverted short-term and long-term EMAs might be explored for unconventional trading signals. 5. **Systematic Exploration:** - Traders and researchers sometimes experiment with unconventional indicators to discover new patterns or behaviors in the market. The inverted EMA could be part of systematic exploration to uncover unique insights that traditional indicators might not reveal. It's important to note that the interpretation and use of the inverted EMA depend on the trader's strategy, risk tolerance, and specific market conditions. Traders should thoroughly backtest any strategy involving unconventional indicators and use them cautiously in live trading. Additionally, the effectiveness of the inverted EMA may vary across different financial instruments and timeframes.
Pine Script® 인디케이터
oneinthousandmillion의
4
NSDT Horizontal VWAPThis script plots VWAP as a horizontal line starting at the most recent candle and extending backwards for a period of 10 to make it easier to see. (default is 10 but can be changed to fit your needs) You may only want to see where VWAP is currently and not need to see the entire day. Helps keep the chart clean. Colors and line settings can all be modified. You can show the original VWAP plot as well for reference. What Is the Volume-Weighted Average Price (VWAP)? The volume-weighted average price (VWAP) is a technical analysis indicator used on intraday charts that resets at the start of every new trading session. It's a trading benchmark that represents the average price a security has traded at throughout the day, based on both volume and price. VWAP is important because it provides traders with pricing insight into both the trend and value of a security.
Pine Script® 인디케이터
NorthStarDayTrading의
Consensio Allocation ToolOriginally created and taught by Taylor Jenks, this indicator provides portfolio allocation suggestions based on the behaviour of price and 3 simple moving averages (4/10/40 by default) (ie. when short & medium term SMAs are above the long term then allocation is to be 100%). This percentage allocated to the stock/commodity is to be reduced as it passes below the SMA's, particularly as each moving average crosses. Consensio is useful for scaling in and out of a position as the portfolio allocation will change according to the momentum of the asset. The rules below are my own based on understanding of the trading system developed by Jenks and his online content. This script has the following rules: if fastAboveSlowMA and not mediumAboveSlowMA allocation := 30.0 else if longAboveFastMA allocation := 0.0 else if fastAboveMediumMA and fastAboveSlowMA allocation := 100.0 else if not fastAboveMediumMA and fastAboveSlowMA allocation := 80.0 else if not fastAboveMediumMA and not fastAboveSlowMA allocation := 50.0 else if not mediumAboveSlowMA and fastAboveSlowMA allocation := 50.0 // Calculate adjusted allocation percentage based on crossing moving averages allocation := allocation + (priceAboveFastMA ? 10.0 : -10.0) allocation := allocation + (priceAboveMediumMA ? 10.0 : -10.0)
Pine Script® 인디케이터
aouwie의
Multi-Symbol Cross Indicator Template - Unleash Your Potential!Unlock your full trading potential with this powerful and versatile Multi-Symbol Cross Indicator Template! This script is designed to make you stand out from the crowd by enabling you to monitor multiple symbols on a single chart for specific events, such as a Golden Cross or Death Cross. With its high adaptability to include various technical indicators, you're in complete control of your trading decisions and market analysis. By using the built-in request.security function, this template fetches data for your chosen symbols from the selected exchange and calculates the conditions (e.g., moving average crossovers) for each symbol. Although the current implementation focuses on Golden Crosses and Death Crosses, the sky is the limit when it comes to modifying the script to incorporate other technical indicators such as RSI, MACD, or Bollinger Bands. You, as a discerning trader, can easily customize the script by selecting your preferred exchange and symbols through input options. This flexibility allows you to monitor your favorite markets without the need for any direct code modification, giving you the ultimate adaptability for various trading strategies and market analysis purposes. Remember, this script is more than just an example or template; it's the key to unleashing your inner trading genius. While it's not intended to be a standalone trading strategy, it serves as the foundation for you to build upon and create your own customized multi-symbol indicators or strategies. You are awesome, and with this Multi-Symbol Cross Indicator Template, there's no doubt that you're on the path to achieving great success in your trading journey!
Pine Script® 인디케이터
Autoview_official의
[MAD] Moving Average RibbonsThis is a Ribbon builder tool that allows customization and display of multiple moving averages (MAs) on a chart. The available MAs include simple, exponential, linear, weighted and many more. You can set a range for the length of each MA and adjust the multiplicator of the range for the second MA. A mixer for combining the two MAs is also available, and you can specify a range for the mixing. Choose the number of Ribbons to display and toggle dynamic coloring on or off. Enable single plots and one average plot as needed. If more than 20 LMA's are calculated, especially when using bigger lengths, a timeout error may occur as the maximum runtime is limited to 20s/40s. have fun
Pine Script® 인디케이터
djmad의
MTFT EMA CloudsMulti Time Frame Tools Multi Time Frame Tools (MTFT) is a suite of scripts aimed to establish a standard timeframe-based color scheme. This can be utilized to overlay different timeframes calculations/values over a single timeframe. As one example, this would allow to observe the 5-month moving average, 5-week moving average, and 5-day moving average overlaid over each other. This would allow to study a chart, get accustomed to the color scheme and study all these at the same time much easier. All indicators calculated using the below specific timeframes as input, will always use the color scheme outlined below. This is to get you in habit of recognizing the different timeframes overlaid in top of each other. These can be personalized. Longer TF analysis. Yearly - Black Semi-Annual - Yellow Quarterly - White Monthly - Maroon Weekly - Royal Blue Daily - Lime Shorter TF analysis. 4 hour - Fuchsia 1 hour - Orange 30 min - Red 15 min - Brown 10 min - Purple 5 min - Lilac All color coordination is able to be modified in either the “Inputs” or “Style” section. If you need to make changes, make sure to select “Save as Default” on the bottom right of the settings menu. Recommended Chart Color Layout I played around with color coordination a lot. The final product was what worked best for me. I personally use the following chart settings to accent all available TF colors. -> Click on the settings wheel on your chart. -> Click on “Appearance”. Background - Solid -> On the top row pick the 6th color from the left. Vert Grid Lines and Horz Grid Lines -> On the top row pick the 7th color from the left. You may of course change these and the indicator line colors as you like. Adding indicator to Chart -> Open the TradingView “Indicators & Strategies” library, the icon has “ƒx”. -> All premium scripts will be located under “Invite-Only Scripts” -> Click indicator to add to your chart. *** MTFT EMA Clouds *** The Exponential Moving Average Clouds, EMA Clouds, is a commonly discussed FinTwit tool. I personally found it through Ripster47 and PatternProfits on Twitter. I have seen big FinTwit accounts solely focus on this strategy alone and have seen other big FinTwit accounts mix with their other indicators. I will be providing very basic info to utilize this script; it is up to you to dive deep into learning this strategy. I am not an expert with the tool or a financial advisor. As with all aspects of life, I recommend you research, learn, discern and practice extensively in order to become a master. The script has the following features. 1. Two user selected timeframes(TF) per script instance. Timeframes include: Quarter, Month, Weekly, Daily, 4 hour, 1 hour, 30 min, 15 min, 10 min, and 5 min candlestick data. 2. Five Unique Clouds per selected timeframe can each be individually enabled/disabled. Cloud pairs include: 5&13, 8&9, 34&50, 72&89, and 180&200. Below are some examples of how switching between multiple TF’s could assist you in identifying patterns and resistance/support easier. Below are 4 different timeframe EMA Clouds plotted over similar areas. What supports/resistances do you see? Weekly timeframe selected with Quarterly Clouds Weekly timeframe selected with Monthly Clouds Daily timeframe selected with Weekly Clouds 1-hour timeframe selected with Daily Clouds. This is meant to show you that the EMA Clouds often serve as resistance/support on multiple timeframes. 3. Force a specific cloud on both selected timeframes. Maybe you want to see how one cloud on several TFs looks over the same chart. Here I added two instances of the script in order to show 4 different TF clouds (Q, M, W, and D). Then I selected the “8_9” on “Force single cloud” for each instance, which will force only the selected cloud to be forced on all the selected time frames. IMPORTANT NOTE: One of the lessons I would consider most important in attaining clarity regarding trading, is “TheStrat” by Rob Smith. His lesson on “actionable signals” is something that can be applied to any strategy. For this reason, I am including “MTFT TheStrat Patterns Pro” script in all images that will depict confluence for a better trade selection. Example using TheStrat Pro MTFT with this indicator. Look for a “TheStrat actionable signal” or a “TheStrat Reversal signal” on a smaller timeframe that has an instance of this indicator on a larger timeframe calculation that is in range of the candlestick that formed your actionable signal. This means that the indicators plot you are observing must be above the low and below the high of the candlestick that is the actionable signal/reversal signal. Image below shows what this would look like with this indicator. The Image below shows what this would look like with this indicator. The selected candlestick is the Weekly, it shows a hammer actionable signal and the Monthly 34 EMA in range. This actionable signal is meant to be played in a long position. If the high is breached, you would enter a long position from the high of the hammer candlestick. For targets you would look at the previous pivots, for this example all targets were hit. Note that the “Entry” and “Targets” line were added manually and are not part of the script. Setups won’t always play out so nice and clean, but given that there is so many stocks and so many signals this is just a thought to improve the quality of the signal as it has extra confluence. If you are interested in learning further, research ‘TheStrat’ by Rob Smith.
Pine Script® 인디케이터
Multi_TF_Tools의
VWAP/EMA50/EMA200We script this one for combining VWAP , EMA50 and EMA200. The tool is fantastic if traders know how VWAP , EMA work? Just adding this script in your favorite and work like charm: VWAP: How to trade with that - One of the simplest uses of the VWAP is gauging support and/or resistance. - A trader who is long a stock can use the VWAP as a target exit if its trading below. - A stock trading over intraday VWAP may be bullish , while a stock trading under may be bearish . EMA 50/EMA200: How to trade with that timeframe 50-day or 200-day period - Identify the trend of market in longterm - Golden-cross (short term EMA cross above longterm EMA ) is call golden-cross signals. It is opportunity for buying. - Deal-cross ( short term EMA cross below longterm EMA ) is call dead-cross signals. It is opportunity for selling. - Identify support levels - Identify resistance levels Let me know if you see anything else that should be added/changed.
Pine Script® 인디케이터
A1TradingHub의