Mulai

Cari skrip untuk "ema"

MP ZeroLag EMANew script based on zlema. Hopefully responds better tot ake advantage of margin trading. As usual, commands for both spot trading and margin trading are included, just need to comment or uncomment (using // ) which you prefer. They are just labels so both work in the same way (long/buy, short/sell). Also added some flair to pretty it up a bit, and yes, those divergences are in fact functional, but not really part of the script (disclosure- the divergences are taken from DonovanWall's ideas, full credit here). There is a "new stuff" section, which you CAN use, but right now it was for art and introduced way too many functions at once to be of any use, but feel free to explore as an Easter Egg :) Autoview friendly in design :) As usual, all proceeds go to the betterment of these scripts as well as my upcoming surgery (Carpel Tunnel Syndrome, yuck) 1Dsg49Zt2FQ9BnUHrmXQwvhL5dd3teqa7g ltc addy- LYUpgsHSHnKeYdNaj9bu9prK4QsnJXEQtP pinkcoin addy- 2PoeXyAk3rF9FmMC8azme2mGzMYsEiZ5eS
Strategi Pine Script®
oleh pocketlint
3
GunbotXT TSSLSimulation of GunbotXT TSSL (trailing stop / stop limit) strategy useful for fine tuning settings and backtesting. Once you have been granted access, you will receive notification in TradingView (Bell). Then right click on Chart area -> click "Insert Indicator..." -> click "Invite-Only Scripts" -> click "GunbotXT TSSL" -> Add To Chart At bottom -> click "Strategy Tester" -> click the "Gear" icon (Format) -> Input your desired settings to test. Red = SellSTEP Purple = SellGAIN Red = SellSTOP Blue/Yellow (changes) = FLowMA (lowest of 2 EMA's) Blue = FastMA (off by default) Yellow = SlowMA (off by default) Orange = BuyPROTECT (BUY_LEVEL) Green = BuySTOP Green = BuySTEP NOTICE: By requesting access to this script you acknowledge that you have read and understood that this is for research purposes only and I am not responsible for any financial losses you may incur by using this script!
Strategi Pine Script®
oleh allanster
852
1 Triple EMA Crossover Strategy (x, 3x, 9x)An excellent EMA strategy.  x, 3x, and 9x: These represent the periods of the EMAs. For example, if 'x' is 10, then you would have a 10-day EMA, a 30-day EMA, and a 90-day EMA.  Crossover: The strategy relies on identifying when the price or the shorter-term EMAs cross above or below the longer-term EMAs, signaling potential buy or sell opportunities.  How the Strategy Works: 1. Trend Identification: The relationship between the three EMAs indicates the overall trend. If the 3x EMA is above the 9x EMA, and the x EMA is above both, it suggests an uptrend. Conversely, if the 3x EMA is below the 9x EMA, and the x EMA is below both, it indicates a downtrend. 2. Buy Signals: A buy signal might be generated when the shortest EMA (x) crosses above the medium EMA (3x) and then both cross above the longest EMA (9x), suggesting a potential breakout. 3. Sell Signals: A sell signal might be generated when the shortest EMA (x) crosses below the medium EMA (3x) and then both cross below the longest EMA (9x), suggesting a potential breakdown.  --------------------------------------------------------------------------------------------------------- Unlocking Trends with the Triple EMA Crossover Strategy (x, 3x, 9x) Welcome to an intuitive yet powerful trend-following strategy designed for clarity and actionable signals: the Triple EMA Crossover. This Pine Script® indicator leverages the Exponential Moving Average (EMA) to help traders identify prevailing trends, potential breakouts, and breakdowns with enhanced precision. Built on a simple, scalable 'x, 3x, 9x' methodology, it provides a dynamic framework for navigating market movements. Understanding the x, 3x, 9x EMA Foundation At its core, this strategy utilizes three Exponential Moving Averages, each acting as a distinct lens on price action. Unlike Simple Moving Averages (SMAs) which give equal weight to all data points, EMAs place a greater emphasis on recent prices, making them more responsive to current market conditions—a crucial advantage in fast-paced environments like intraday trading. The "x, 3x, 9x" nomenclature is elegantly simple: x EMA (Fast EMA): This is your shortest-period EMA, highly sensitive to immediate price changes. It acts as the leading indicator, quickly reacting to shifts in momentum. 3x EMA (Medium EMA): Calculated with three times the 'x' period, this EMA provides a smoother, yet still responsive, view of the short-to-medium term trend. It often acts as dynamic support or resistance. 9x EMA (Slow EMA): Representing nine times the 'x' period, this is your longest EMA. It filters out much of the market noise, giving you a clear picture of the underlying dominant trend. The beauty of this setup lies in its adaptability. By simply adjusting the Base EMA Period (x) input in the script settings, you can automatically calibrate all three EMAs to suit different instruments, volatility levels, or even your preferred trading style. A common starting point for 'x' in intraday trading on a 5-minute chart is 10, which translates to 10, 30, and 90-period EMAs. How the Strategy Works: Signals and Trend Identification The power of the Triple EMA Crossover lies in the interplay and alignment of these three moving averages. 1. Trend Identification The relative positioning of the EMAs paints a clear picture of the market's trend: Uptrend (Bullish): When the emaX (fast) is above the ema3X (medium), and the ema3X is, in turn, above the ema9X (slow), it indicates a strong bullish trend. This "stacked" alignment suggests robust upward momentum. Downtrend (Bearish): Conversely, if the emaX (fast) is below the ema3X (medium), and the ema3X is below the ema9X (slow), it signals a clear bearish trend. 2. Buy Signals 🟢 A buy signal is generated when the swift emaX crosses above the ema3X, AND simultaneously, the ema3X is already above the ema9X. This combined condition ensures that the shorter-term momentum is shifting upward while the underlying medium-term trend remains strong and aligned with the longer-term direction. This reduces false signals often seen with simple two-EMA crossovers, aiming to capture high-probability upward moves. The script will plot a green upward-pointing triangle below the candle to visually alert you to this entry. 3. Sell Signals 🔴 A sell signal occurs when the quick emaX crosses below the ema3X, AND the ema3X is already below the ema9X. This indicates that the short-term momentum is shifting downwards, confirming a bearish bias within the broader downtrend. This comprehensive confirmation helps identify potential breakdowns and exit points for long positions or entry points for short trades. A red downward-pointing triangle will appear above the candle to mark this signal. The strategy also includes an intuitive exit mechanism: if a buy signal is active and a sell condition is met, the long position will be closed, and vice-versa for short positions. This ensures you're always aligned with the most recent confirmed trend direction. Key Advantages for Traders Clarity: Provides visually clear trend direction and momentum shifts. Responsiveness: EMAs react faster to price changes compared to SMAs, making them ideal for dynamic markets. Confirmation: The three-EMA alignment significantly reduces false signals, leading to higher-conviction trades. Adaptability: The x input allows you to fine-tune the strategy for various assets and market conditions. Simplicity: Despite its effectiveness, the logic remains straightforward and easy to understand. Important Considerations for Day Trading For optimal performance in intraday trading, it's highly recommended to apply this strategy on a 5-minute chart. This timeframe strikes the perfect balance between capturing rapid price action and filtering out excessive market noise, allowing the EMA crossovers to provide meaningful signals. Always combine this technical analysis with sound risk management, including stop-loss orders, and consider other indicators or fundamental analysis for further confirmation. Customization and Disclaimer Feel free to experiment with the Base EMA Period (x) input to find the optimal settings that resonate with your trading style and the specific instruments you trade. Remember, no single strategy guarantees profits, and past performance is not indicative of future results. This script is provided for educational and illustrative purposes. Always conduct your own research and risk assessment before trading with real capital. Happy Trading!
Strategi Pine Script®
oleh appzandgame
three Supertrend EMA Strategy by Prasanna +DhanuThe indicator described in your Pine Script is a Supertrend EMA Strategy that combines the Supertrend and EMA (Exponential Moving Average) to create a trend-following strategy. Here’s a detailed breakdown of how this indicator works: 1. EMA (Exponential Moving Average): The EMA is a moving average that places more weight on recent prices, making it more responsive to price changes compared to a simple moving average (SMA). In this strategy, the EMA is used to determine the overall trend direction. Input Parameter: ema_length: This is the period for the EMA, set to 50 periods by default. A shorter EMA will respond more quickly to price movements, while a longer EMA is smoother and less sensitive to short-term fluctuations. How it's used: If the price is above the EMA, it indicates an uptrend. If the price is below the EMA, it indicates a downtrend. 2. Supertrend Indicator: The Supertrend indicator is a trend-following tool based on the Average True Range (ATR), which is a volatility measure. It helps to identify the direction of the trend by setting a dynamic support or resistance level. Input Parameters: supertrend_atr_period: The period used for calculating the ATR, set to 10 periods by default. supertrend_multiplier1: Multiplier for the first Supertrend, set to 3.0. supertrend_multiplier2: Multiplier for the second Supertrend, set to 2.0. supertrend_multiplier3: Multiplier for the third Supertrend, set to 1.0. Each Supertrend line has a different multiplier, which affects its sensitivity to price changes. The ATR period defines how many periods of price data are used to calculate the ATR. How the Supertrend works: If the Supertrend value is below the price, the trend is considered bullish (uptrend). If the Supertrend value is above the price, the trend is considered bearish (downtrend). The Supertrend will switch between up and down based on price movement and ATR, providing a dynamic trend-following signal. 3. Three Supertrend Lines: In this strategy, three Supertrend lines are calculated with different multipliers and the same ATR period (10 periods). Each line is more or less sensitive to price changes, and they are plotted on the chart in different colors based on whether the trend is bullish (green) or bearish (red). Supertrend 1: The most sensitive Supertrend with a multiplier of 3.0. Supertrend 2: A moderately sensitive Supertrend with a multiplier of 2.0. Supertrend 3: The least sensitive Supertrend with a multiplier of 1.0. Each Supertrend line signals a bullish trend when its value is below the price and a bearish trend when its value is above the price. 4. Strategy Rules: This strategy uses the three Supertrend lines combined with the EMA to generate trade signals. Entry Conditions: A long entry is triggered when all three Supertrend lines are in an uptrend (i.e., all three Supertrend lines are below the price), and the price is above the EMA. This suggests a strong bullish market condition. A short entry is triggered when all three Supertrend lines are in a downtrend (i.e., all three Supertrend lines are above the price), and the price is below the EMA. This suggests a strong bearish market condition. Exit Conditions: A long exit occurs when the third Supertrend (the least sensitive one) switches to a downtrend (i.e., the price falls below it). A short exit occurs when the third Supertrend switches to an uptrend (i.e., the price rises above it). 5. Visualization: The strategy also plots the following on the chart: The EMA is plotted as a blue line, which helps identify the overall trend. The three Supertrend lines are plotted with different colors: Supertrend 1: Green (for uptrend) and Red (for downtrend). Supertrend 2: Green (for uptrend) and Red (for downtrend). Supertrend 3: Green (for uptrend) and Red (for downtrend). Summary of the Strategy: The strategy combines three Supertrend indicators (with different multipliers) and an EMA to capture both short-term and long-term trends. Long positions are entered when all three Supertrend lines are bullish and the price is above the EMA. Short positions are entered when all three Supertrend lines are bearish and the price is below the EMA. Exits occur when the third Supertrend line (the least sensitive) signals a change in trend direction. This combination of indicators allows for a robust trend-following strategy that adapts to both short-term volatility and long-term trend direction. The Supertrend lines provide quick reaction to price changes, while the EMA offers a smoother, more stable trend direction for confirmation. The indicator described in your Pine Script is a Supertrend EMA Strategy that combines the Supertrend and EMA (Exponential Moving Average) to create a trend-following strategy. Here’s a detailed breakdown of how this indicator works: 1. EMA (Exponential Moving Average): The EMA is a moving average that places more weight on recent prices, making it more responsive to price changes compared to a simple moving average (SMA). In this strategy, the EMA is used to determine the overall trend direction. Input Parameter: ema_length: This is the period for the EMA, set to 50 periods by default. A shorter EMA will respond more quickly to price movements, while a longer EMA is smoother and less sensitive to short-term fluctuations. How it's used: If the price is above the EMA, it indicates an uptrend. If the price is below the EMA, it indicates a downtrend. 2. Supertrend Indicator: The Supertrend indicator is a trend-following tool based on the Average True Range (ATR), which is a volatility measure. It helps to identify the direction of the trend by setting a dynamic support or resistance level. Input Parameters: supertrend_atr_period: The period used for calculating the ATR, set to 10 periods by default. supertrend_multiplier1: Multiplier for the first Supertrend, set to 3.0. supertrend_multiplier2: Multiplier for the second Supertrend, set to 2.0. supertrend_multiplier3: Multiplier for the third Supertrend, set to 1.0. Each Supertrend line has a different multiplier, which affects its sensitivity to price changes. The ATR period defines how many periods of price data are used to calculate the ATR. How the Supertrend works: If the Supertrend value is below the price, the trend is considered bullish (uptrend). If the Supertrend value is above the price, the trend is considered bearish (downtrend). The Supertrend will switch between up and down based on price movement and ATR, providing a dynamic trend-following signal. 3. Three Supertrend Lines: In this strategy, three Supertrend lines are calculated with different multipliers and the same ATR period (10 periods). Each line is more or less sensitive to price changes, and they are plotted on the chart in different colors based on whether the trend is bullish (green) or bearish (red). Supertrend 1: The most sensitive Supertrend with a multiplier of 3.0. Supertrend 2: A moderately sensitive Supertrend with a multiplier of 2.0. Supertrend 3: The least sensitive Supertrend with a multiplier of 1.0. Each Supertrend line signals a bullish trend when its value is below the price and a bearish trend when its value is above the price. 4. Strategy Rules: This strategy uses the three Supertrend lines combined with the EMA to generate trade signals. Entry Conditions: A long entry is triggered when all three Supertrend lines are in an uptrend (i.e., all three Supertrend lines are below the price), and the price is above the EMA. This suggests a strong bullish market condition. A short entry is triggered when all three Supertrend lines are in a downtrend (i.e., all three Supertrend lines are above the price), and the price is below the EMA. This suggests a strong bearish market condition. Exit Conditions: A long exit occurs when the third Supertrend (the least sensitive one) switches to a downtrend (i.e., the price falls below it). A short exit occurs when the third Supertrend switches to an uptrend (i.e., the price rises above it). 5. Visualization: The strategy also plots the following on the chart: The EMA is plotted as a blue line, which helps identify the overall trend. The three Supertrend lines are plotted with different colors: Supertrend 1: Green (for uptrend) and Red (for downtrend). Supertrend 2: Green (for uptrend) and Red (for downtrend). Supertrend 3: Green (for uptrend) and Red (for downtrend). Summary of the Strategy: The strategy combines three Supertrend indicators (with different multipliers) and an EMA to capture both short-term and long-term trends. Long positions are entered when all three Supertrend lines are bullish and the price is above the EMA. Short positions are entered when all three Supertrend lines are bearish and the price is below the EMA. Exits occur when the third Supertrend line (the least sensitive) signals a change in trend direction. This combination of indicators allows for a robust trend-following strategy that adapts to both short-term volatility and long-term trend direction. The Supertrend lines provide quick reaction to price changes, while the EMA offers a smoother, more stable trend direction for confirmation. The indicator described in your Pine Script is a Supertrend EMA Strategy that combines the Supertrend and EMA (Exponential Moving Average) to create a trend-following strategy. Here’s a detailed breakdown of how this indicator works: 1. EMA (Exponential Moving Average): The EMA is a moving average that places more weight on recent prices, making it more responsive to price changes compared to a simple moving average (SMA). In this strategy, the EMA is used to determine the overall trend direction. Input Parameter: ema_length: This is the period for the EMA, set to 50 periods by default. A shorter EMA will respond more quickly to price movements, while a longer EMA is smoother and less sensitive to short-term fluctuations. How it's used: If the price is above the EMA, it indicates an uptrend. If the price is below the EMA, it indicates a downtrend. 2. Supertrend Indicator: The Supertrend indicator is a trend-following tool based on the Average True Range (ATR), which is a volatility measure. It helps to identify the direction of the trend by setting a dynamic support or resistance level. Input Parameters: supertrend_atr_period: The period used for calculating the ATR, set to 10 periods by default. supertrend_multiplier1: Multiplier for the first Supertrend, set to 3.0. supertrend_multiplier2: Multiplier for the second Supertrend, set to 2.0. supertrend_multiplier3: Multiplier for the third Supertrend, set to 1.0. Each Supertrend line has a different multiplier, which affects its sensitivity to price changes. The ATR period defines how many periods of price data are used to calculate the ATR. How the Supertrend works: If the Supertrend value is below the price, the trend is considered bullish (uptrend). If the Supertrend value is above the price, the trend is considered bearish (downtrend). The Supertrend will switch between up and down based on price movement and ATR, providing a dynamic trend-following signal. 3. Three Supertrend Lines: In this strategy, three Supertrend lines are calculated with different multipliers and the same ATR period (10 periods). Each line is more or less sensitive to price changes, and they are plotted on the chart in different colors based on whether the trend is bullish (green) or bearish (red). Supertrend 1: The most sensitive Supertrend with a multiplier of 3.0. Supertrend 2: A moderately sensitive Supertrend with a multiplier of 2.0. Supertrend 3: The least sensitive Supertrend with a multiplier of 1.0. Each Supertrend line signals a bullish trend when its value is below the price and a bearish trend when its value is above the price. 4. Strategy Rules: This strategy uses the three Supertrend lines combined with the EMA to generate trade signals. Entry Conditions: A long entry is triggered when all three Supertrend lines are in an uptrend (i.e., all three Supertrend lines are below the price), and the price is above the EMA. This suggests a strong bullish market condition. A short entry is triggered when all three Supertrend lines are in a downtrend (i.e., all three Supertrend lines are above the price), and the price is below the EMA. This suggests a strong bearish market condition. Exit Conditions: A long exit occurs when the third Supertrend (the least sensitive one) switches to a downtrend (i.e., the price falls below it). A short exit occurs when the third Supertrend switches to an uptrend (i.e., the price rises above it). 5. Visualization: The strategy also plots the following on the chart: The EMA is plotted as a blue line, which helps identify the overall trend. The three Supertrend lines are plotted with different colors: Supertrend 1: Green (for uptrend) and Red (for downtrend). Supertrend 2: Green (for uptrend) and Red (for downtrend). Supertrend 3: Green (for uptrend) and Red (for downtrend). Summary of the Strategy: The strategy combines three Supertrend indicators (with different multipliers) and an EMA to capture both short-term and long-term trends. Long positions are entered when all three Supertrend lines are bullish and the price is above the EMA. Short positions are entered when all three Supertrend lines are bearish and the price is below the EMA. Exits occur when the third Supertrend line (the least sensitive) signals a change in trend direction. This combination of indicators allows for a robust trend-following strategy that adapts to both short-term volatility and long-term trend direction. The Supertrend lines provide quick reaction to price changes, while the EMA offers a smoother, more stable trend direction for confirmation.
Strategi Pine Script®
oleh prasannaknh
1
Multi-EMA Crossover StrategyMulti-EMA Crossover Strategy This strategy uses multiple exponential moving average (EMA) crossovers to identify bullish trends and execute long trades. The approach involves progressively stronger signals as different EMA pairs cross, indicating increasing bullish momentum. Each crossover triggers a long entry, and the intensity of bullish sentiment is reflected in the color of the bars on the chart. Conversely, bearish trends are represented by red bars. Strategy Logic: First Long Entry: When the 1-day EMA crosses above the 5-day EMA, it signals initial bullish momentum. Second Long Entry: When the 3-day EMA crosses above the 10-day EMA, it confirms stronger bullish sentiment. Third Long Entry: When the 5-day EMA crosses above the 20-day EMA, it indicates further trend strength. Fourth Long Entry: When the 10-day EMA crosses above the 40-day EMA, it suggests robust long-term bullish momentum. The bar colors reflect these conditions: More blue bars indicate stronger bullish sentiment as more short-term EMAs are above their longer-term counterparts. Red bars represent bearish conditions when short-term EMAs are below longer-term ones. Example: Bitcoin Trading on a Daily Timeframe Bullish Scenario: Imagine Bitcoin is trading at $30,000 on March 31, 2025: First Signal: The 1-day EMA crosses above the 5-day EMA at $30,000. This suggests initial upward momentum, prompting a small long entry. Second Signal: A few days later, the 3-day EMA crosses above the 10-day EMA at $31,000. This confirms strengthening bullish sentiment; another long position is added. Third Signal: The 5-day EMA crosses above the 20-day EMA at $32,500, indicating further upward trend development; a third long entry is executed. Fourth Signal: Finally, the 10-day EMA crosses above the 40-day EMA at $34,000. This signals robust long-term bullish momentum; a fourth long position is entered. Bearish Scenario: Suppose Bitcoin reverses from $34,000 to $28,000: The 1-day EMA crosses below the 5-day EMA at $33,500. The 3-day EMA dips below the 10-day EMA at $32,000. The 5-day EMA falls below the 20-day EMA at $30,000. The final bearish signal occurs when the 10-day EMA drops below the 40-day EMA at $28,000. The bars turn increasingly red as bearish conditions strengthen. Advantages of This Strategy: Progressive Confirmation: Multiple crossovers provide layered confirmation of trend strength. Visual Feedback: Bar colors help traders quickly assess market sentiment and adjust positions accordingly. Flexibility: Suitable for trending markets like Bitcoin during strong rallies or downturns. Limitations: Lagging Signals: EMAs are lagging indicators and may react slowly to sudden price changes. False Breakouts: Crossovers in choppy markets can lead to whipsaws or false signals. This strategy works best in trending markets and should be combined with additional risk management techniques, e.g., stop loss or optimal position sizes (Kelly Criterion).
Strategi Pine Script®
oleh joll3d
Scalping EMA + Pinbar Strategy (London & NY only, BE @ 1R)The scalping trading system uses two types of indicators: EMA 10, EMA 21, EMA 50 Pinbar Indicator Rules for entering a buy order: If the closing price is above the EMA 50, the trend is uptrend and only buy orders should be considered. The EMA 10 and EMA 21 lines must simultaneously be above the EMA 50. The price must correct down at least 50% of the area created by the EMA 10 and EMA 21, or correct further down. A Type 1 Pinbar candle (marked by the Pinbar indicator) must appear; this Pinbar candle must react to at least one of the three EMA lines (EMA 10, EMA 21, EMA 50) and close above the EMA 50. This Pinbar candle must have a Pinbar strength value (marked by the Pinbar indicator) less than 2 to be considered valid. Check if the closing price of this pinbar candle is higher than the 50-day EMA and if the 10-day and 21-day EMAs are also higher than the 50-day EMA. If so, the conditions have been met and you can begin trading. Place a buy stop order 0.1 pip higher than the highest price of the pinbar candle, and a stop loss order 0.1 pip lower than the lowest price of the pinbar candle. Set the take profit at 3R. If the price moves past the previously set stop loss, cancel the pending order. When the price moves 1R, move the stop loss back to the entry point. The next trade can only be executed after the previous trade has moved the stop loss back to the entry point. Rules for placing sell orders: If the closing price is below the 50-day EMA, the trend is bearish, and only sell orders should be considered. The 10-day and 21-day EMAs must both be below the 50-day EMA. The price must correct downwards by at least 50% of the area formed by the 10-day and 21-day EMAs, or even further. A Type 1 pinbar candle (marked by the Pinbar indicator) must appear. This pinbar candle must react to at least one of the three EMAs (EMA 10, EMA 21, EMA 50) and close below the EMA 50. This pinbar is valid if its strength (indicated by the Pinbar indicator) is less than 2. Verify that the closing price of this pinbar candle is below the EMA 50 and that both the EMA 10 and EMA 21 are below the EMA 50. If all conditions are met, the trade can be executed. (This appears to be a separate entry rule and not part of the previous text.) Place a sell stop order 0.1 pip below the lowest point of the pinbar candle, and a stop loss order 0.1 pip above the highest point of the pinbar candle. Set the take profit point at 3R. If the price moves past the previously set stop-loss point, cancel the pending order. When the price moves 1R, move the stop-loss point back to the entry point. The next trade can only be executed after the previous trade has moved the stop-loss point back to the entry point.
Strategi Pine Script®
oleh TDVPRE2425
The Flash-Strategy with Minervini Stage Analysis QualifierThe Flash-Strategy (Momentum-RSI, EMA-crossover, ATR) with Minervini Stage Analysis Qualifier Introduction Welcome to a comprehensive guide on a cutting-edge trading strategy I've developed, designed for the modern trader seeking an edge in today's dynamic markets. This strategy, which I've honed through my years of experience in the trading arena, stands out for its unique blend of technical analysis and market intuition, tailored specifically for use on the TradingView platform. As a trader with a deep passion for the financial markets, my journey began several years ago, driven by a relentless pursuit of a trading methodology that is both effective and adaptable. My background in trading spans various market conditions and asset classes, providing me with a rich tapestry of experiences from which to draw. This strategy is the culmination of that journey, embodying the lessons learned and insights gained along the way. The cornerstone of this strategy lies in its ability to generate precise long signals in a Stage 2 uptrend and equally accurate short signals in a Stage 4 downtrend. This approach is rooted in the principles of trend following and momentum trading, harnessing the power of key indicators such as the Momentum-RSI, EMA Crossover, and Average True Range (ATR). What sets this strategy apart is its meticulous design, which allows it to adapt to the ever-changing market conditions, providing traders with a robust tool for navigating both bullish and bearish scenarios. This strategy was born out of a desire to create a trading system that is not only highly effective in identifying potential trade setups but also straightforward enough to be implemented by traders of varying skill levels. It's a reflection of my belief that successful trading hinges on clarity, precision, and disciplined execution. Whether you are a seasoned trader or just beginning your journey, this guide aims to provide you with a comprehensive understanding of how to harness the full potential of this strategy in your trading endeavors. In the following sections, we will delve deeper into the mechanics of the strategy, its implementation, and how to make the most out of its features. Join me as we explore the nuances of a strategy that is designed to elevate your trading to the next level. Stage-Specific Signal Generation A distinctive feature of this trading strategy is its focus on generating long signals exclusively during Stage 2 uptrends and short signals during Stage 4 downtrends. This approach is based on the widely recognized market cycle theory, which divides the market into four stages: Stage 1 (accumulation), Stage 2 (uptrend), Stage 3 (distribution), and Stage 4 (downtrend). By aligning the signal generation with these specific stages, the strategy aims to capitalize on the most dynamic and clear-cut market movements, thereby enhancing the potential for profitable trades. 1. Long Signals in Stage 2 Uptrends • Characteristics of Stage 2: Stage 2 is characterized by a strong uptrend, where prices are consistently rising. This stage typically follows a period of accumulation (Stage 1) and is marked by increased investor interest and bullish sentiment in the market. • Criteria for Long Signal Generation: Long signals are generated during this stage when the technical indicators align with the characteristics of a Stage 2 uptrend. • Rationale for Stage-Specific Signals: By focusing on Stage 2 for long trades, the strategy seeks to enter positions during the phase of strong upward momentum, thus riding the wave of rising prices and investor optimism. This stage-specific approach minimizes exposure to less predictable market phases, like the consolidation in Stage 1 or the indecision in Stage 3. 2. Short Signals in Stage 4 Downtrends • Characteristics of Stage 4: Stage 4 is identified by a pronounced downtrend, with declining prices indicating prevailing bearish sentiment. This stage typically follows the distribution phase (Stage 3) and is characterized by increasing selling pressure. • Criteria for Short Signal Generation: Short signals are generated in this stage when the indicators reflect a strong bearish trend. • Rationale for Stage-Specific Signals: Targeting Stage 4 for shorting capitalizes on the market's downward momentum. This tactic aligns with the natural market cycle, allowing traders to exploit the downward price movements effectively. By doing so, the strategy avoids the potential pitfalls of shorting during the early or late stages of the market cycle, where trends are less defined and more susceptible to reversals. In conclusion, the strategy’s emphasis on stage-specific signal generation is a testament to its sophisticated understanding of market dynamics. By tailoring the long and short signals to Stages 2 and 4, respectively, it leverages the most compelling phases of the market cycle, offering traders a clear and structured approach to aligning their trades with dominant market trends. Strategy Overview At the heart of this trading strategy is a philosophy centered around capturing market momentum and trend efficiency. The core objective is to identify and capitalize on clear uptrends and downtrends, thereby allowing traders to position themselves in sync with the market's prevailing direction. This approach is grounded in the belief that aligning trades with these dominant market forces can lead to more consistent and profitable outcomes. The strategy is built on three foundational components, each playing a critical role in the decision-making process: 1. Momentum-RSI (Relative Strength Index): The Momentum-RSI is a pivotal element of this strategy. It's an enhanced version of the traditional RSI, fine-tuned to better capture the strength and velocity of market trends. By measuring the speed and change of price movements, the Momentum-RSI provides invaluable insights into whether a market is potentially overbought or oversold, suggesting possible entry and exit points. This indicator is especially effective in filtering out noise and focusing on substantial market moves. 2. EMA (Exponential Moving Average) Crossover: The EMA Crossover is a crucial component for trend identification. This strategy employs two EMAs with different timeframes to determine the market trend. When the shorter-term EMA crosses above the longer-term EMA, it signals an emerging uptrend, suggesting a potential long entry. Conversely, a crossover below indicates a possible downtrend, hinting at a short entry opportunity. This simple yet powerful tool is key in confirming trend directions and timing market entries. 3. ATR (Average True Range): The ATR is instrumental in assessing market volatility. This indicator helps in understanding the average range of price movements over a given period, thus providing a sense of how much a market might move on a typical day. In this strategy, the ATR is used to adjust stop-loss levels and to gauge the potential risk and reward of trades. It allows for more informed decisions by aligning trade management techniques with the current volatility conditions. The synergy of these three components – the Momentum-RSI, EMA Crossover, and ATR – creates a robust framework for this trading strategy. By combining momentum analysis, trend identification, and volatility assessment, the strategy offers a comprehensive approach to navigating the markets. Whether it's capturing a strong trend in its early stages or identifying a potential reversal, this strategy aims to provide traders with the tools and insights needed to make well-informed, strategically sound trading decisions. Detailed Component Analysis The efficacy of this trading strategy hinges on the synergistic functioning of its three key components: the Momentum-RSI, EMA Crossover, and Average True Range (ATR). Each component brings a unique perspective to the strategy, contributing to a well-rounded approach to market analysis. 1. Momentum-RSI (Relative Strength Index) • Definition and Function: The Momentum-RSI is a modified version of the classic Relative Strength Index. While the traditional RSI measures the velocity and magnitude of directional price movements, the Momentum-RSI amplifies aspects that reflect trend strength and momentum. • Significance in Identifying Trend Strength: This indicator excels in identifying the strength behind a market's move. A high Momentum-RSI value typically indicates strong bullish momentum, suggesting the potential continuation of an uptrend. Conversely, a low Momentum-RSI value signals strong bearish momentum, possibly indicative of an ongoing downtrend. • Application in Strategy: In this strategy, the Momentum-RSI is used to gauge the underlying strength of market trends. It helps in filtering out minor fluctuations and focusing on significant movements, providing a clearer picture of the market's true momentum. 2. EMA (Exponential Moving Average) Crossover • Definition and Function: The EMA Crossover component utilizes two exponential moving averages of different timeframes. Unlike simple moving averages, EMAs give more weight to recent prices, making them more responsive to new information. • Contribution to Market Direction: The interaction between the short-term and long-term EMAs is key to determining market direction. A crossover of the shorter EMA above the longer EMA is an indicator of an emerging uptrend, while a crossover below signals a developing downtrend. • Application in Strategy: The EMA Crossover serves as a trend confirmation tool. It provides a clear, visual representation of the market's direction, aiding in the decision-making process for entering long or short positions. This component ensures that trades are aligned with the prevailing market trend, a crucial factor for the success of the strategy. 3. ATR (Average True Range) • Definition and Function: The ATR is an indicator that measures market volatility by calculating the average range between the high and low prices over a specified period. • Role in Assessing Market Volatility: The ATR provides insights into the typical market movement within a given timeframe, offering a measure of the market's volatility. Higher ATR values indicate increased volatility, while lower values suggest a calmer market environment. • Application in Strategy: Within this strategy, the ATR is instrumental in tailoring risk management techniques, particularly in setting stop-loss levels. By accounting for the market's volatility, the ATR ensures that stop-loss orders are placed at levels that are neither too tight (risking premature exits) nor too loose (exposing to excessive risk). In summary, the combination of Momentum-RSI, EMA Crossover, and ATR in this trading strategy provides a comprehensive toolkit for market analysis. The Momentum-RSI identifies the strength of market trends, the EMA Crossover confirms the market direction, and the ATR guides in risk management by assessing volatility. Together, these components form the backbone of a strategy designed to navigate the complexities of the financial markets effectively. 1. Signal Generation Process • Combining Indicators: The strategy operates by synthesizing signals from the Momentum-RSI, EMA Crossover, and ATR indicators. Each indicator serves a specific purpose: the Momentum-RSI gauges trend momentum, the EMA Crossover identifies the trend direction, and the ATR assesses the market’s volatility. • Criteria for Signal Validation: For a signal to be considered valid, it must meet specific criteria set by each of the three indicators. This multi-layered approach ensures that signals are not only based on one aspect of market behavior but are a result of a comprehensive analysis. 2. Conditions for Long Positions • Uptrend Confirmation: A long position signal is generated when the shorter-term EMA crosses above the longer-term EMA, indicating an uptrend. • Momentum-RSI Alignment: Alongside the EMA crossover, the Momentum-RSI should indicate strong bullish momentum. This is typically represented by the Momentum-RSI being at a high level, confirming the strength of the uptrend. • ATR Consideration: The ATR is used to fine-tune the entry point and set an appropriate stop-loss level. In a low volatility scenario, as indicated by the ATR, the stop-loss can be set tighter, closer to the entry point. 3. Conditions for Short Positions • Downtrend Confirmation: Conversely, a short position signal is indicated when the shorter-term EMA crosses below the longer-term EMA, signaling a downtrend. • Momentum-RSI Confirmation: The Momentum-RSI should reflect strong bearish momentum, usually seen when the Momentum-RSI is at a low level. This confirms the bearish strength of the market. • ATR Application: The ATR again plays a role in determining the stop-loss level for the short position. Higher volatility, as indicated by a higher ATR, would warrant a wider stop-loss to accommodate larger market swings. By adhering to these mechanics, the strategy aims to ensure that each trade is entered with a high probability of success, aligning with the market’s current momentum and trend. The integration of these indicators allows for a holistic market analysis, providing traders with clear and actionable signals for both entering and exiting trades. Customizable Parameters in the Strategy Flexibility and adaptability are key features of this trading strategy, achieved through a range of customizable parameters. These parameters allow traders to tailor the strategy to their individual trading style, risk tolerance, and specific market conditions. By adjusting these parameters, users can fine-tune the strategy to optimize its performance and align it with their unique trading objectives. Below are the primary parameters that can be customized within the strategy: 1. Momentum-RSI Settings • Period: The lookback period for the Momentum-RSI can be adjusted. A shorter period makes the indicator more sensitive to recent price changes, while a longer period smoothens the RSI line, offering a broader view of the momentum. • Overbought/Oversold Thresholds: Users can set their own overbought and oversold levels, which can help in identifying extreme market conditions more precisely according to their trading approach. 2. EMA Crossover Settings • Timeframes for EMAs: The strategy uses two EMAs with different timeframes. Traders can modify these timeframes, choosing shorter periods for a more responsive approach or longer periods for a more conservative one. • Source Data: The choice of price data (close, open, high, low) used in calculating the EMAs can be varied depending on the trader’s preference. 3. ATR Settings • Lookback Period: Adjusting the lookback period for the ATR impacts how the indicator measures volatility. A longer period may provide a more stable but less responsive measure, while a shorter period offers quicker but potentially more erratic readings. • Multiplier for Stop-Loss Calculation: This parameter allows traders to set how aggressively or conservatively they want their stop-loss to be in relation to the ATR value. Here are the standard settings:
Strategi Pine Script®
oleh JS_TechTrading
1
Long Only EMA Strategy (9/20 with 200 EMA Filter)Details: This strategy is built around a very simple idea: follow the primary trend and enter only when momentum supports it. It uses three EMAs on a standard candlestick chart: 1. 9‑period EMA – short‑term momentum 2. 20‑period EMA – medium‑term structure 3. 200‑period EMA – long‑term trend filter The strategy is ** long‑only ** and is mainly designed for swing trading and positional trading. It avoids counter‑trend trades by taking entries only when price is trading ** above the 200 EMA **, which is commonly used as a long‑term trend reference. The rules are deliberately kept simple so that they are easy to understand, modify, and test on different markets and timeframes. --- Key Features 1. **Trend‑Filtered Entries** - Fresh long positions are considered only when: - The 9 EMA crosses above the 20 EMA - The closing price is **above** the 200 EMA - This attempts to combine short‑term momentum with a higher‑timeframe trend filter. 2. **Clean Exit Logic** - The long position is exited when the closing price crosses **below** the 20 EMA. - This creates an objective, rule‑based way to trail the trade as long as the medium‑term structure remains intact. 3. **Long‑Only, No Short Selling** - The script intentionally ignores short setups. - This makes it suitable for markets or accounts where short selling is restricted, or for traders who prefer to participate only on the long side of the market. 4. **Simple Visuals** - All three EMAs are plotted directly on the chart: - 9 EMA (fast) - 20 EMA (medium) - 200 EMA (trend) - Trade entries and exits are handled by TradingView’s strategy engine, so users can see results in the Strategy Tester as well as directly on the chart. 5. **Backtest‑Friendly Structure** - Uses TradingView’s built‑in `strategy()` framework. - Can be applied to different symbols, timeframes, and markets (equities, indices, crypto, etc.). - Works on standard candlestick charts, which are supported by TradingView’s backtesting engine. 6. **Configurable in Code** - The EMA periods are defined in the code and can be easily adjusted. - Users can tailor the parameters to fit their own style (for example, faster EMAs for intraday trading, slower EMAs for positional trades). --- How to Use 1. **Add the Strategy to Your Chart** 1. Open any symbol and select a **standard candlestick chart**. 2. Apply the strategy from your “My Scripts” section. 3. Make sure it is enabled so that the trades and results appear. 2. **Select Timeframe** - The logic can be tested on various timeframes: - Higher timeframes (1H, 4H, 1D) for swing and positional setups. - Lower timeframes (5m, 15m) for more active trading, if desired. - Users should experiment and see where the strategy behaves more consistently for their chosen market. 3. **Read the Signals** - **Entry:** - A long trade is opened when the 9 EMA crosses above the 20 EMA while the closing price is above the 200 EMA. - **Exit:** - The open long position is closed when the closing price crosses below the 20 EMA. - All orders are generated automatically once the strategy is attached to the chart. 4. **Use the Strategy Tester** - Go to the **Strategy Tester** tab in TradingView. - Check: - Net profit / drawdown - Win rate and average trade - List of trades and the equity curve - Change the date range and timeframe to see how stable the results are over different periods. 5. **Adjust Parameters if Needed** - Advanced users can open the code and experiment with: - EMA lengths (for example 8/21 with 200, or 10/30 with 200) - Risk sizing and capital settings within the `strategy()` call - Any changes should be thoroughly re‑tested before considering real‑world application. --- Practical Applications 1. **Swing Trading on Daily Charts** - Can be applied to stocks, indices, or ETFs on the daily timeframe. - The 200 EMA acts as a trend filter to stay aligned with the broad direction, while the 9/20 crossover helps catch medium‑term swings inside that trend. 2. **Positional Trades on Higher Timeframes** - On 4H or 1D charts, this approach can help in holding trades for several days to weeks. - The exit rule based on the 20 EMA crossing helps avoid emotional decisions and provides a rules‑based way to trail the trend. 3. **Trend‑Following Filter** - Even if used purely as a filter, the 200 EMA condition can help traders: - Avoid taking long trades when the market is in a clear downtrend. - Focus only on instruments that are trading above their long‑term average. 4. **Educational Use** - The script is intentionally kept straightforward so that newer users can: - Learn how a moving average crossover strategy works. - See how to combine a short‑term signal with a long‑term filter. - Understand how TradingView’s strategy engine handles entries and exits. 5. **Basis for Further Development** - This can serve as a starting point for more advanced systems. - Traders can extend it by adding: - Additional filters (RSI, volume, volatility filters, time‑of‑day filters, etc.) - Risk management rules (fixed stop loss, take profit, trailing stops). - The current version is kept minimal on purpose, so modifications are easy to implement and test. --- Important Notes & Disclaimer 1. This strategy is provided **for testing, research, and educational purposes only**. 2. It is ** not ** a recommendation to buy or sell any financial instrument. 3. Past performance on historical data does not guarantee similar results in live markets. 4. Markets are risky and trading can lead to financial loss; users should always do their own research, manage risk appropriately, and consult a qualified financial professional if needed. 5. Before using any strategy with real capital, it is strongly advised to: - Forward test it on a demo / paper trading account. - Check how it behaves during different market phases (trending, sideways, high‑volatility conditions). You are free to modify the parameters and logic to better align it with your own trading style and risk tolerance.
Strategi Pine Script®
oleh growbharat2005
AltCoin & MemeCoin Index Correlation [Eddie_Bitcoin]🧠 Philosophy of the Strategy The AltCoin & MemeCoin Index Correlation Strategy by Eddie_Bitcoin is a carefully engineered trend-following system built specifically for the highly volatile and sentiment-driven world of altcoins and memecoins. This strategy recognizes that crypto markets—especially niche sectors like memecoins—are not only influenced by individual price action but also by the relative strength or weakness of their broader sector. Hence, it attempts to improve the reliability of trading signals by requiring alignment between a specific coin’s trend and its sector-wide index trend. Rather than treating each crypto asset in isolation, this strategy dynamically incorporates real-time dominance metrics from custom indices (OTHERS.D and MEME.D) and combines them with local price action through dual exponential moving average (EMA) crossovers. Only when both the asset and its sector are moving in the same direction does it allow for trade entries—making it a confluence-based system rather than a single-signal strategy. It supports risk-aware capital allocation, partial exits, configurable stop loss and take profit levels, and a scalable equity-compounding model. ✅ Why did I choose OTHERS.D and MEME.D as reference indices? I selected OTHERS.D and MEME.D because they offer a sector-focused view of crypto market dynamics, especially relevant when trading altcoins and memecoins. 🔹 OTHERS.D tracks the market dominance of all cryptocurrencies outside the top 10 by market cap. This excludes not only BTC and ETH, but also major stablecoins like USDT and USDC, making it a cleaner indicator of risk appetite across true altcoins. 🔹 This is particularly useful for detecting "Altcoin Season"—periods where capital rotates away from Bitcoin and flows into smaller-cap coins. A rising OTHERS.D often signals the start of broader altcoin rallies. 🔹 MEME.D, on the other hand, captures the speculative behavior of memecoin segments, which are often driven by retail hype and social media activity. It's perfect for timing momentum shifts in high-risk, high-reward tokens. By using these indices, the strategy aligns entries with broader sector trends, filtering out noise and increasing the probability of catching true directional moves, especially in phases of capital rotation and altcoin risk-on behavior. 📐 How It Works — Core Logic and Execution Model At its heart, this strategy employs dual EMA crossover detection—one pair for the asset being traded and one pair for the selected market index. A trade is only executed when both EMA crossovers agree on the direction. For example: Long Entry: Coin's fast EMA > slow EMA and Index's fast EMA > slow EMA Short Entry: Coin's fast EMA < slow EMA and Index's fast EMA < slow EMA You can disable the index filter and trade solely based on the asset’s trend just to make a comparison and see if improves a classic EMA crossover strategy. Additionally, the strategy includes: - Adaptive position sizing, based on fixed capital or current equity (compound mode) - Take Profit and Stop Loss in percentage terms - Smart partial exits when trend momentum fades - Date filtering for precise backtesting over specific timeframes - Real-time performance stats, equity tracking, and visual cues on chart ⚙️ Parameters & Customization 🔁 EMA Settings Each EMA pair is customizable: Coin Fast EMA: Default = 47 Coin Slow EMA: Default = 50 Index Fast EMA: Default = 47 Index Slow EMA: Default = 50 These control the sensitivity of the trend detection. A wider spread gives smoother, slower entries; a narrower spread makes it more responsive. 🧭 Index Reference The correlation mechanism uses CryptoCap sector dominance indexes: OTHERS.D: Dominance of all coins EXCLUDING Top 10 ones MEME.D: Dominance of all Meme coins These are dynamically calculated using: OTHERS_D = OTHERS_cap / TOTAL_cap * 100 MEME_D = MEME_cap / TOTAL_cap * 100 You can select: Reference Index: OTHERS.D or MEME.D Or disable the index reference completely (Don't Use Index Reference) 💰 Position Sizing & Risk Management Two capital allocation models are supported: - Fixed % of initial capital (default) - Compound profits, which scales positions as equity grows Settings: - Compound profits?: true/false - % of equity: Between 1% and 200% (default = 10%) This is critical for users who want to balance growth with risk. 🎯 Take Profit / Stop Loss Customizable thresholds determine automatic exits: - TakeProfit: Default = 99999 (disabled) - StopLoss: Default = 5 (%) These exits are percentage-based and operate off the entry price vs. current close. 📉 Trend Weakening Exit (Scale Out) If the position is in profit but the trend weakens (e.g., EMA color signals trend loss), the strategy can partially close a configurable portion of the position: - Scale Position on Weak Trend?: true/false - Scaled Percentage: % to close (default = 65%) This feature is useful for preserving profits without exiting completely. 📆 Date Filter Useful for segmenting performance over specific timeframes (e.g., bull vs bear markets): - Filter Date Range of Backtest: ON/OFF - Start Date and End Date: Custom time range OTHER PARAMETERS EXPLANATION (Strategy "Properties" Tab): - Initial Capital is set to 100 USD - Commission is set to 0.055% (The ones I have on Bybit) - Slippage is set to 3 ticks - Margin (short and long) are set to 0.001% to avoid "overspending" your initial capital allocation 📊 Visual Feedback and Debug Tools 📈 EMA Trend Visualization The slow EMA line is dynamically color-coded to visually display the alignment between the asset trend and the index trend: Lime: Coin and index both bullish Teal: Only coin bullish Maroon: Only index bullish Red: Both bearish This allows for immediate visual confirmation of current trend strength. 💬 Real-Time PnL Labels When a trade closes, a label shows: Previous trade return in % (first value is the effective PL) Green background for profit, Red for losses. 📑 Summary Table Overlay This table appears in a corner of the chart (user-defined) and shows live performance data including: Trade direction (yellow long, purple short) Emojis: 💚 for current profit, 😡 for current loss Total number of trades Win rate Max drawdown Duration in days Current trade profit/loss (absolute and %) Cumulative PnL (absolute and %) APR (Annualized Percentage Return) Each metric is color-coded: Green for strong results Yellow/orange for average Red/maroon for poor performance You can select where this appears: Top Left Top Right Bottom Left Bottom Right (default) 📚 Interpretation of Key Metrics Equity Multiplier: How many times initial capital has grown (e.g., “1.75x”) Net Profit: Total gains including open positions Max Drawdown: Largest peak-to-valley drop in strategy equity APR: Annualized return calculated based on equity growth and days elapsed Win Rate: % of profitable trades PnL %: Percentage profit on the most recent trade 🧠 Advanced Logic & Safety Features 🛑 “Don’t Re-Enter” Filter If a trade is closed due to StopLoss without a confirmed reversal, the strategy avoids re-entering in that same direction until conditions improve. This prevents false reversals and repetitive losses in sideways markets. 🧷 Equity Protection No new trades are initiated if equity falls below initial_capital / 30. This avoids overleveraging or continuing to trade when capital preservation is critical. Keep in mind that past results in no way guarantee future performance. Eddie Bitcoin
Strategi Pine Script®
oleh Eddie_Bitcoin
ETH/USDT EMA Crossover Strategy - OptimizedStrategy Name: EMA Crossover Strategy for ETH/USDT Description: This trading strategy is designed for the ETH/USDT pair and is based on exponential moving average (EMA) crossovers combined with momentum and volatility indicators. The strategy uses multiple filters to identify high-probability signals in both bullish and bearish trends, making it suitable for traders looking to trade in trending markets. Strategy Components EMAs (Exponential Moving Averages): EMA 200: Used to identify the primary trend. If the price is above the EMA 200, it is considered a bullish trend; if below, a bearish trend. EMA 50: Acts as an additional filter to confirm the trend. EMA 20 and EMA 50 Short: These short-term EMAs generate entry signals through crossovers. A bullish crossover (EMA 20 crosses above EMA 50 Short) is a buy signal, while a bearish crossover (EMA 20 crosses below EMA 50 Short) is a sell signal. RSI (Relative Strength Index): The RSI is used to avoid overbought or oversold conditions. Long trades are only taken when the RSI is above 30, and short trades when the RSI is below 70. ATR (Average True Range): The ATR is used as a volatility filter. Trades are only taken when there is sufficient volatility, helping to avoid false signals in quiet markets. Volume: A volume filter is used to confirm sufficient market participation in the price movement. Trades are only taken when volume is above average. Strategy Logic Long Trades: The price must be above the EMA 200 (bullish trend). The EMA 20 must cross above the EMA 50 Short. The RSI must be above 30. The ATR must indicate sufficient volatility. Volume must be above average. Short Trades: The price must be below the EMA 200 (bearish trend). The EMA 20 must cross below the EMA 50 Short. The RSI must be below 70. The ATR must indicate sufficient volatility. Volume must be above average. How to Use the Strategy Setup: Add the script to your ETH/USDT chart on TradingView. Adjust the parameters according to your preferences (e.g., EMA periods, RSI, ATR, etc.). Signals: Buy and sell signals will be displayed directly on the chart. Long trades are indicated with an upward arrow, and short trades with a downward arrow. Risk Management: Use stop-loss and take-profit orders in all trades. Consider a risk-reward ratio of at least 1:2. Backtesting: Test the strategy on historical data to evaluate its performance before using it live. Advantages of the Strategy Trend-focused: The strategy is designed to trade in trending markets, increasing the probability of success. Multiple filters: The use of RSI, ATR, and volume reduces false signals. Adaptability: It can be adjusted for different timeframes, although it is recommended to test it on 5-minute and 15-minute charts for ETH/USDT. Warnings Sideways markets: The strategy may generate false signals in markets without a clear trend. It is recommended to avoid trading in such conditions. Optimization: Make sure to optimize the parameters according to the market and timeframe you are using. Risk management: Never trade without stop-loss and take-profit orders. Author Jose J. Sanchez Cuevas Version v1.0
Strategi Pine Script®
oleh jsanchezcuevas
Long-Only MTF EMA Cloud StrategyOverview: The Long-Only EMA Cloud Strategy is a powerful trend-following strategy designed to help traders identify and capitalize on bullish market conditions. By utilizing an Exponential Moving Average (EMA) Cloud, this strategy provides clear and reliable signals for entering long positions when the market trend is favorable. The EMA cloud acts as a visual representation of the trend, making it easier for traders to make informed decisions. This strategy is ideal for traders who prefer to trade in the direction of the trend and focus exclusively on long positions. Key Features: EMA Cloud: The strategy uses two EMAs (short and long) to create a dynamic cloud. The cloud is bullish when the short EMA is above the long EMA, indicating a strong upward trend. The cloud is bearish when the short EMA is below the long EMA, indicating a downward trend or consolidation. Long Entry Signals: A long position is opened when the EMA cloud turns bullish, which occurs when the short EMA crosses above the long EMA. This crossover signals a potential shift in market sentiment from bearish to bullish, providing an opportunity to enter a long trade. Adjustable Timeframe: The EMA cloud can be calculated on the same timeframe as the chart or on a higher/lower timeframe for multi-timeframe analysis. This flexibility allows traders to adapt the strategy to their preferred trading style and time horizon. Risk Management: The strategy includes adjustable stop loss and take profit levels to help traders manage risk and lock in profits. Stop loss and take profit levels are calculated as a percentage of the entry price, ensuring consistency across different assets and market conditions. Alerts: Built-in alerts notify you when a long entry signal is generated, ensuring you never miss a trading opportunity. Alerts can be customized to suit your preferences, providing real-time notifications for potential trades. Visualization: The EMA cloud is plotted on the chart, providing a clear visual representation of the trend. Buy signals are marked with a green label below the price bar, making it easy to identify entry points. How to Use: Add the Script: Add the script to your chart in TradingView. Set EMA Lengths: Adjust the Short EMA Length and Long EMA Length in the settings to suit your trading style. For example, you might use a shorter EMA (e.g., 21) for more responsive signals or a longer EMA (e.g., 50) for smoother signals. Choose EMA Cloud Resolution: Select the EMA Cloud Resolution (timeframe) for the cloud calculation. You can choose the same timeframe as the chart or a different timeframe (higher or lower) for multi-timeframe analysis. Adjust Risk Management: Set the Stop Loss (%) and Take Profit (%) levels according to your risk tolerance and trading goals. For example, you might use a 1% stop loss and a 2% take profit for a 1:2 risk-reward ratio. Enable Alerts: Enable alerts to receive notifications for long entry signals. Alerts can be configured to send notifications via email, SMS, or other preferred methods. Monitor and Trade: Monitor the chart for buy signals and execute trades accordingly. Use the EMA cloud as a visual guide to confirm the trend direction before entering a trade. Ideal For: Trend-Following Traders: This strategy is perfect for traders who prefer to trade in the direction of the trend and capitalize on sustained price movements. Long-Only Traders: If you prefer to focus exclusively on long positions, this strategy provides a clear and systematic approach to identifying bullish opportunities. Multi-Timeframe Analysts: The adjustable EMA cloud resolution allows you to analyze trends across different timeframes, making it suitable for both short-term and long-term traders. Risk-Averse Traders: The inclusion of stop loss and take profit levels helps manage risk and protect your capital.
Strategi Pine Script®
oleh Charted_Trades