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ATR

Understanding Average True Range (ATR): A Measure of Market VolaThe Average True Range (ATR) is a technical analysis indicator that measures market volatility. Developed by J. Welles Wilder Jr., the ATR provides traders with insights into price fluctuations, helping them set stop-loss levels, identify breakout opportunities, and assess market conditions. What is ATR? ATR represents the average range of price movement over a specified period, capturing the level of volatility rather than the direction of price movement. A higher ATR indicates greater volatility, while a lower ATR suggests a calmer market. How is ATR Calculated? The ATR calculation involves three steps: 1. Determine the True Range (TR): The True Range is the greatest of: - The current high minus the current low. - The absolute value of the current high minus the previous close. - The absolute value of the current low minus the previous close. 2. Calculate the Average True Range: - ATR is the moving average of the True Range over a specified period (typically 14 periods). How to Use ATR in Trading 1.Set Stop-Loss Levels: - Use ATR to place stop-loss orders at a distance that accounts for market volatility. For instance, set a stop-loss at 1.5x the ATR below the entry price in an uptrend. 2.Identify Breakouts: - Compare current ATR values to historical ATR levels. A sudden spike in ATR often signals a breakout, indicating increased volatility and potential price movement. 3. Determine Market Conditions: - High ATR values suggest volatile markets, often seen during major news events or market openings. - Low ATR values indicate a period of consolidation or range-bound conditions. 4. Position Sizing: - ATR can help calculate position sizes based on volatility, allowing traders to adjust their risk exposure accordingly. Strengths of ATR -Versatility:Can be applied to any asset class or timeframe. - Adaptability:Works in trending and range-bound markets to measure volatility. - Enhances Risk Management:Helps traders set realistic stop-loss levels based on market conditions. Limitations of ATR -Lagging Indicator:ATR is based on historical data and doesn’t predict future price movements. -No Directional Bias:ATR measures volatility, not the direction of the trend. -Context Needed:ATR values alone don’t provide actionable signals without additional analysis. Best Practices for Using ATR 1. Combine with Other Indicators: - Pair ATR with trend-following tools like moving averages or MACD to validate signals. 2.Adjust Periods: - The default 14-period setting works well for most markets, but traders can adjust it based on their strategy and timeframe. 3.Use with Breakout Strategies: - Monitor ATR spikes to identify potential breakout opportunities. Example of ATR in Action Imagine Ethereum (ETH) has an ATR value of $50 on a daily chart. A trader planning to enter a long position at $1,800 might set a stop-loss at $1,725 ($1,800 - 1.5x ATR) to account for typical price fluctuations. As the ATR increases to $75 during a volatile period, the trader adjusts their stop-loss level to $1,687.50 ($1,800 - 1.5x ATR), ensuring it reflects the heightened volatility. Conclusion The Average True Range is an invaluable tool for traders seeking to understand market volatility and manage risk effectively. While it doesn’t predict price direction, its ability to quantify volatility makes it a key component of any robust trading strategy. Practice incorporating ATR into your analysis to refine your approach and improve decision-making.
Education
by Cryptonic_Trading
Trend Identifier Indicator This is my Trend Identifier Indicator, the most affordable among all my paid indicators. Take a look at its performance on BTC—it’s simple yet highly effective. It’s designed to be user-friendly, making it ideal for beginners as well as experienced traders. Here’s how it works: • Green indicates a Buy Signal. • Red indicates a Sell Signal. • Gray represents a Sideways Market. For added clarity: • An “S” with a black dot in the gray zone indicates a sideways market. • An “S” in red with a red background clearly indicates a sell signal. • Buy signals are straightforward and highlighted in green. As you can see, the indicator beautifully captures the market trends. It removes confusion by visually separating buy, sell, and sideways signals, ensuring you know exactly what action to take. Its performance speaks for itself—it’s doing its job exceptionally well! If you’re interested in subscribing to this indicator, message me for more details. Thank you!
by TradeTechanalysis
Dynamic Scalping Pro Indicator (PAID)Dynamic Scalper Pro – Scalping Strategy Performance Review Overview The Dynamic Scalper Pro indicator is designed for high-accuracy scalping and intraday trading, offering precise Buy/Sell signals based on a combination of trend detection, volatility zones, and volume validation. This performance review highlights how the indicator performed on BTC/USDT (15-minute timeframe). Performance Metrics 1. Signal Accuracy: • The indicator generated Buy signals (green arrows) near key oversold zones (lower Bollinger Band and ATR lower zone), capturing upward momentum effectively. • Sell signals (red arrows) aligned with overbought conditions near the upper Bollinger Band and ATR resistance zone, successfully identifying potential reversals. • Out of X signals observed: • Y% were accurate in capturing meaningful price movements. • Z% occurred during sideways markets or resulted in minor drawdowns. 2. Trend Identification: • The background coloring system effectively marked market trends: • Green background correctly identified bullish phases with upward momentum. • Red background highlighted bearish phases, aligning with downward price movements. • Gray background accurately identified low-conviction, sideways market conditions. 3. Risk-Reward Potential: • Signals provided excellent risk-reward opportunities: • Average risk-reward ratio: 1:X (e.g., 1:2 or better). • Stop Loss (SL) levels were set using ATR zones, reducing unnecessary losses. • Take Profit (TP) levels aligned with Bollinger Band extremes or ATR zones. 4. Noise Filtering: • The cooldown mechanism effectively reduced overtrading during choppy conditions, ensuring cleaner signal generation. Key Observations 1. Buy Signal Example: • A Buy signal was triggered at when: • Price touched the lower Bollinger Band. • Short EMA crossed above Long EMA. • RSI > 60 (bullish sentiment confirmed). • Volume exceeded the Relative Volume (RVOL) threshold. • Result: Price moved upward, hitting the upper Bollinger Band as TP. 2. Sell Signal Example: • A Sell signal was triggered when: • Price reached the upper Bollinger Band. • Short EMA crossed below Long EMA. • RSI < 40 (bearish sentiment confirmed). • Volume exceeded the RVOL threshold. • Result: Price dropped hitting the lower ATR zone as TP. 3. False Signals: • Observed a few false signals during sideways market conditions. These were mitigated by: • The gray background, indicating no clear trend. • The cooldown mechanism, which reduced consecutive signals.
by TradeTechanalysis
BNB 15M Reversal PlayLook how the market reversed and the day's sentiment shifted. 📉📈 You can see this in the charts, of course, but I now track sentiment with numbers. The scores "UP and DOWN" before the ">" reflect the start of the day, while those after the ">" show the current sentiment. This shift means I’ll focus on searching for shorts instead of longs (for now)- which make this day a potential ''reversal play'' for me. All intraday. But also, this is typical End OF Year chop, for example watch DOGE 15M trend, reversed 4 times which make this very bad to trade on for me with a 15M system. BNB Numbers, factual structure: - Structure: 1D: UP | 4H: UP | 1H: UP | 15M: DOWN > UP | - First 2H (15M): UP - 15M Sentiment: EMA's: UP > DOWN > UP | ATR: UP > DOWN > UP - Up score 4/7 > 7/7"
Long
by NickSeversG
2
DOGE Intraday: Sentiment and Precision-BasedEntry Criteria: - EMA Cross: 24/42 EMAs cross to signal trend shift/continuation. - Pivot Gain: Regain 2H-bias line (P1) and daily open (P2) to confirm support/resistance. Exit: - EMA Cross: Close on 12/21 EMA cross to secure profits or reduce losses. Or - 3R fixed for 50% or 100% TP Confirmation: - Daily Open respected/aligned for conviction. - Supertrend (30M) matches trade direction. Non-Trading Zone: - Avoid trades in "Dead Space" (P1 ≤ x ≤ P2) due to low probability. Entry: 0.32166 Stoploss: 0.31870 TP: TBC
Long
by NickSeversG
1
SOL intraday Sentiment confirmation (LONG)Entry Criteria: - EMA Cross: 24/42 EMAs cross to signal trend shift/continuation. - Pivot Gain: Regain 2H-bias line (P1) and daily open (P2) to confirm support/resistance. Exit: - EMA Cross: Close on 12/21 EMA cross to secure profits or reduce losses. Or - 3R fixed for 50% or 100% TP Confirmation: - Daily Open respected/aligned for conviction. - Supertrend (30M) matches trade direction. Non-Trading Zone: - Avoid trades in "Dead Space" (P1 ≤ x ≤ P2) due to low probability. So, first i want price to close at a least one 15M candle above the ''Top dead-space'' in order to enter. Current structure score: - Structure: 1D: UP | 4H: UP | 1H: DOWN | 15M: UP | - First 2H (15M): UP - 15M Sentiment: EMA's: UP | ATR: UP - Up score 7/7
Long
by NickSeversG
1
41-Day Sentiment mastery missionGM WARRIORS I'm on a mission to master the SuperTrend indicator by testing all 42 combinations of its key settings: Factor, ATR (Average True Range), and Time Periods. Each day, I’ll backtest 50 trades on a new combination to refine a 15-minute day trading system, focusing on trend precision and market sentiment. The combinations include: 21 Factors (2.0 to 4.0 in 0.1 increments). 2 Timeframes (15M and 30M). Goal: Identify the optimal SuperTrend configuration, master early trend reversals, and sharpen market insights within a month. Results will be shared daily via a public sheet and incorporated into my ongoing SuperTrend study. If you’d like updates, let me know, and I’ll tag you in this journey! 📊 Progress Sheet: docs.google.com 📘 SuperTrend Study: docs.google.com
Education
by NickSeversG
ATR/USDT Facing the ResistanceHello everyone, I’m Cryptorphic. I’ve been sharing insightful charts and analysis for the past seven years. Follow me for: ~ Unbiased analyses on trending altcoins. ~ Identifying altcoins with 10x-50x potential. ~ Futures trade setups. ~ Daily updates on Bitcoin and Ethereum. ~ High time frame (HTF) market bottom and top calls. ~ Short-term market movements. ~ Charts supported by critical fundamentals. Now, let’s dive into this chart analysis: ATR is currently facing resistance between $0.0165 and $0.0211. If ATR fails to break above this resistance level, a downtrend is likely, with a potential drop to the $0.0047-$0.0064 range. On the upside, a breakout above this resistance will confirm a bullish rally for ATR, with potential gains of over 740% from the support level. The RSI is trending below the middle line and is likely to reach the oversold zone, indicating a possible bearish move. Key Levels: - Primary Resistance: $0.0165-$0.0211. - Primary Support: $0.01193. - Lower Support/Accumulation: $0.0047-$0.0064. - All-Time Low: $0.0025. - All-Time High: $0.105. - Scenario: Possible rejection, followed by a rebound. DYOR. NFA. Please hit the like button to support my content and share your thoughts in the comment section. Feel free to request any chart analysis you’d like to see! Thank you! #PEACE
by Cryptorphic
Volatility in Focus: A Trader's Perspective on S&P 500 Futures1. Introduction Volatility is a critical concept for traders in any market, and the E-mini S&P 500 Futures are no exception. Traditionally, traders have relied on tools such as the Average True Range (ATR) and Historic Volatility (HV) to measure and understand market volatility. These tools provide a snapshot of how much an asset's price fluctuates over a given period, helping traders to gauge potential risk and reward. ATR measures market volatility by analyzing the range of price movement, often over a 14-day period. It reflects the degree of price movement but doesn’t differentiate between upward or downward volatility. Historic Volatility looks at past price movements to calculate how much the price has deviated from its average. It’s a statistical measure that gives traders a sense of how volatile the market has been in the past. While these traditional tools are invaluable, they offer a generalized view of volatility. For traders seeking a more nuanced and actionable understanding, it's essential to distinguish between upside and downside volatility—how much and how fast the market moves up or down. This article introduces a pragmatic, trader-focused approach to measuring volatility in the E-mini S&P 500 Futures. By analyzing daily, weekly, and monthly volatility from both the upside and downside perspectives, we aim to provide insights that can better prepare traders for the real-world dynamics of the market. 2. Methodology: Volatility Calculation from a Trader’s Perspective In this analysis, we take a more nuanced approach by separating volatility into two distinct categories: upside volatility and downside volatility. The idea is to focus on how much the market tends to move up versus how much it moves down, providing a clearer picture of potential risks and rewards. Volatility Calculation Method: o Daily Volatility: Daily upside volatility is calculated as the percentage change from the prior day's close to the next day’s high, assuming the next day’s high is higher than the prior day’s close. Daily downside volatility is the percentage change from the prior day's close to the next day’s low, assuming the next day’s low is lower than the prior day’s close. o Weekly Volatility: Weekly upside volatility is determined by comparing the previous Friday’s close to the highest point during the following week, assuming the market went higher than the prior Friday’s close. Weekly downside volatility is calculated by comparing the previous Friday’s close to the lowest point during the following week, assuming the market went lower than the prior Friday’s close. o Monthly Volatility: Monthly upside volatility is measured by taking the percentage change from the prior month’s close to the next month’s high, assuming prices moved higher than the prior monthly close. Monthly downside volatility is calculated by comparing the prior month’s close to the lowest point of the following month, assuming prices moved lower than the prior monthly close. 3. Volatility Analysis The E-mini S&P 500 Futures exhibit distinct patterns when analyzed from the perspective of upside and downside volatility. By measuring the daily/weekly/monthly fluctuations using the trader-focused approach discussed earlier, we gain valuable insights into how the market behaves on a day-to-day basis. Key Insights: Trend Observation: The data reveals that during periods of market distress, such as financial crises or sudden economic downturns, downside volatility tends to spike significantly. This indicates a greater propensity for the market to fall rapidly compared to its upward movements. Implication for Traders: Understanding these patterns allows traders to anticipate the potential risks and adjust their strategies accordingly. For instance, in highly volatile environments, traders might consider tightening their stop losses or hedging their positions to protect against sudden downturns. 4. Comparative Analysis: Rolling Volatility Differences To gain deeper insights into the behavior of the E-mini S&P 500 Futures, it’s useful to compare the rolling differences between upside and downside volatility over time. Rolling Volatility Differences Explained: Rolling Analysis: A rolling analysis calculates the difference between upside and downside volatility over a set period, such as 252 days for daily data (approximately one trading year), 52 weeks for weekly data, or 12 months for monthly data. This method smooths out short-term fluctuations, allowing us to see more persistent trends in how the market behaves. Volatility Difference: The volatility difference is simply the upside volatility minus the downside volatility. A positive value suggests that upside movements were more significant during the period, while a negative value indicates stronger downside movements. Key Insights: Trend Observation: The rolling difference analysis reveals that downside volatility generally dominates, particularly during periods of economic uncertainty or financial crises. This confirms the common belief that markets tend to fall faster than they rise. Implication for Traders: Traders could use rolling volatility differences to anticipate changes in market conditions. A widening gap in favor of downside volatility may signal increasing risk and the potential for further declines. Conversely, a narrowing or positive rolling difference could suggest improving market sentiment and potential opportunities for long positions. 5. Volatility Trends Over Time Understanding the frequency and conditions under which upside or downside volatility dominates can provide traders with valuable insights into market behavior. By analyzing the percentage of days, weeks, and months where upside volatility exceeds downside volatility, we can better grasp the nature of market trends over time. Volatility Trends Explained: Percentage of Days with Greater Upside Volatility: This metric shows the percentage of trading days within a given year where the upside volatility was higher than the downside volatility. It highlights the frequency with which the market experienced more significant upward movements compared to downward ones on a daily basis. Percentage of Weeks with Greater Upside Volatility: Similarly, this metric calculates the percentage of weeks in a year where the upside volatility was greater than the downside. It provides a broader perspective on market trends, capturing sustained movements within weekly timeframes. Percentage of Months with Greater Upside Volatility: This metric reflects the percentage of months in a year where upside volatility exceeded downside volatility. It is particularly useful for identifying longer-term trends and understanding the market’s behavior over extended periods. Key Insights: Trend Observation: Historically, again, we can see the data shows that downside volatility tends to dominate, especially during periods of market stress. However, there are years where upside volatility has been more frequent. Implication for Traders: Traders can use these insights to adjust their strategies based on the prevailing market conditions. In years where downside volatility is more frequent, defensive strategies or hedging might be more appropriate. Conversely, in years where upside volatility dominates, traders might consider more aggressive or trend-following strategies. 6. Key Takeaways for Traders The analysis of the E-mini S&P 500 Futures’ volatility, broken down by daily, weekly, and monthly intervals, provides crucial insights for traders. Understanding the distinct patterns of upside and downside volatility is essential for making informed trading decisions, particularly in a market that often behaves asymmetrically. Practical Conclusions for Traders: Risk Management: Given the dominance of downside volatility, traders should prioritize risk management strategies. This includes using stop-loss orders, protective options, and other hedging techniques to mitigate potential losses during volatile periods. Strategic Positioning: Traders might consider adjusting their position sizes or employing defensive strategies during periods of heightened downside volatility. Conversely, when upside volatility shows signs of strengthening, more aggressive positioning or trend-following strategies could be beneficial. Timing Entries and Exits: Understanding the patterns of volatility can help traders better time their entries and exits. For instance, entering the market during periods of lower downside volatility or after a significant downside spike can offer better risk-reward opportunities. Adaptability: The key to successful trading in volatile markets is adaptability. Traders should remain flexible and adjust their strategies based on the prevailing market conditions, as indicated by the volatility analysis. By incorporating these insights into their trading approach, traders can better navigate the E-mini S&P 500 Futures market, enhancing their ability to capitalize on opportunities while managing risks effectively. When charting futures, the data provided could be delayed. Traders working with the ticker symbols discussed in this idea may prefer to use CME Group real-time data plan on TradingView: www.tradingview.com This consideration is particularly important for shorter-term traders, whereas it may be less critical for those focused on longer-term trading strategies. General Disclaimer: The trade ideas presented herein are solely for illustrative purposes forming a part of a case study intended to demonstrate key principles in risk management within the context of the specific market scenarios discussed. These ideas are not to be interpreted as investment recommendations or financial advice. They do not endorse or promote any specific trading strategies, financial products, or services. The information provided is based on data believed to be reliable; however, its accuracy or completeness cannot be guaranteed. Trading in financial markets involves risks, including the potential loss of principal. Each individual should conduct their own research and consult with professional financial advisors before making any investment decisions. The author or publisher of this content bears no responsibility for any actions taken based on the information provided or for any resultant financial or other losses.
CME_MINI:ES1!Education
by traddictiv
6
You Need An Edge In The Markets - Tradingview Has The Tools!👉📈 In the video, we look at a EURUSD trade opportunity, but more importantly, we delve into essential features and tools available on TradingView, which can considerably enhance your trading edge. Here’s what we cover: ✅ 1: Multi-Chart Layout: - TradingView’s workspace allows you to view multiple charts simultaneously. This feature is particularly useful when analyzing currency pairs like EURUSD. - By comparing different timeframes or related assets, you gain a broader perspective on market dynamics. ✅ 2: Currency Indexes: - Currency indexes provide crucial insights. They help answer questions like: Is the EUR (Euro) truly under pressure? Is the USD (US Dollar) gaining strength? - For instance, even if the EURUSD pair appears bearish, understanding the individual currency strengths is vital. Sometimes, two currencies may be trending in the same direction with one slightly stronger than the other.. you might look to avoid trading the currency pair associated with this scenario. ✅ 3: Entry, Stop Loss, and Target Levels: - We explore how to identify optimal entry points, setting a suitable stop-loss, and define profit targets. 📢Leveraging TradingView’s tools, you can fine-tune your trading strategy and gain a real edge in the currency markets. 📢 Remember, steady conservative and consistant trading, along with rigorous risk management, is key. Happy trading! 🛡️🌟
Short
by fxtraderanthony
18
ATR/USDT At a Make or Break Point | Watch Out For Correction 👀 💎Paradisers, prepare for a high-stakes scenario with #Artrade! Currently, there's a high probability for a bearish continuation as the price tests the key support at $0.0216. Locked within a descending channel, this level has held up until now, but a fading trading volume hints at a price drop toward the highlighted demand zone. 💎If #ATR does not break below the $0.0216 support and instead climbs, be wary of the resistance at $0.027. This zone has consistently attracted heavy selling pressure and will likely drive the price further down once touched. 💎If NYSE:ATR revisits this critical demand zone, securing a rebound is vital. Failure to recover will actually fuel bullish momentum, potentially leading to a breakout from the current descending pattern and invalidate the bearish scenario. 💎Stay vigilant and prepared, Paradisers. This is a crucial moment that could dictate the next significant move for #Artrade. Keep your strategies flexible and watch closely as we guide you through these unfolding dynamics in the #ATR market. MyCryptoParadise iFeel the success
Short
by MyCryptoParadise_Simon
Could the Bitcoin ATR be showing us a Fall is incoming ?For those that do not know, The Average True Range (ATR) is a tool used in technical analysis to measure volatility. Unlike many of today's popular indicators, the ATR is not used to indicate the direction of price. Rather, it is a metric used solely to measure volatility, especially volatility caused by price gaps So why do I say a Drop maybe incoming ? Volatility tends to rise as we come ot a High, as can be seen on this Chart of the BTC ATR since 2021. The Vertical dashed lines are the BTC ATH points. Again, as you can see, ATR continues for a short time after. The same happened in 2017 but for now, I WIll contrate on this date range. Using a Fib retracement off the 1st ATR ATH in March 2021, it goes to the 0 line and then climbs back up to mid way between the 0.5 and the 0,618, before it turns around and Falls into the bear market. Using a Fib retracement from the same March 2021 ATR ATH, but coming down to the Low of 2023, we can see that the ATR has once again climbed back up to near mid way between the 0.5 and the 0.618, formed an ATH and is now currently turning down. It is repeating what it did in 2021 But does this mean that it will continue to fall ? NO but we need to keep an eye on this..and remember, ATR falling foes not always mean PA will but this chart and the ATH's speak for themselves.. For me, I will wait and if the ATR reaches the 0.5, I wlll CLOSELY to see if it gets support or not.
by Orriginal
CVD AI PRO - 3.1 Conservative Day Trader CVD AI PRO - 3.1 Conservative Day Trader (updated) Summary: This advanced technical indicator combines Cumulative Volume Delta (CVD), Dynamic Average True Range (ATR), and Percentage Change analysis to generate long trading signals. Designed for the discerning trader, it integrates a comprehensive approach by considering volume, price volatility, and trend momentum to identify potential market entry points. Features: • Timeframe Selector: Allows users to specify the desired analysis timeframe, enhancing the indicator's flexibility across different trading strategies. • Conservative Signal Filter: An optional filter that prevents the generation of consecutive buy or sell signals without an alternating signal, promoting a disciplined trading approach by ensuring that each buy signal is followed by a sell signal and vice versa. • ATR-Based Stop Loss Calculation: Utilizes a dynamic ATR multiplier to determine optimal stop loss levels, adjusting to market volatility. • Cumulative Volume Delta (CVD): Offers insights into market momentum by accumulating volume changes, providing a unique perspective on market sentiment. • MACD & Confidence Level Analysis: Incorporates MACD line movements and a custom confidence level based on CVD normalization to refine signal accuracy. • Volume Filter: Enhances signal reliability by including volume trends in the analysis, with options to activate or deactivate this filter based on user preference. • Customizable Parameters: Includes user-defined inputs for ATR length, CVD length, MACD settings, and more, offering a tailored analytical experience. • Signal Labels with Enhanced Visibility: Marks buy and sell signals directly on the chart with labels featuring increased font size, improving readability and decision-making speed. • Directional Trend Labels: Provides immediate visual cues about the market's direction, aiding in quick assessment of current market trends. Use Cases: Ideal for traders looking for a comprehensive, multifaceted technical analysis tool, this indicator suits various trading styles, from swing trading to longer-term investment strategies. The Conservative Signal Filter and enhanced signal labels particularly benefit users seeking to minimize risk and focus on clear, well-defined market entry and exit points.
by Crypto_Capital_Int
2
CVD PRO Buy Sell Signals for scalping in Crypto FuturesCVD PRO v3.0 - Crypto Capital International Indicator Overview: This indicator combines several key elements to provide insights into market trends and potential trading signals. It incorporates Cumulative Volume Delta (CVD), Dynamic Average True Range (ATR), Percentage Change, MACD (Moving Average Convergence Divergence), and G-Trend filters. By analyzing volume, price movements, and momentum indicators, it aims to identify potential buying and selling opportunities. 1. How It Works: • CVD (Cumulative Volume Delta): CVD is calculated by cumulatively summing the volume multiplied by the sign of price changes. This helps gauge the strength of buying or selling pressure. • ATR (Average True Range): ATR measures market volatility, providing insights into potential price movements. The dynamic aspect adjusts ATR based on market conditions. Percentage Change: This indicator calculates the percentage change in price over a specified period. • MACD: MACD is a trend-following momentum indicator that helps identify trend direction and potential reversals. • G-Trend: G-Trend identifies bullish or bearish trends based on price movements relative to a moving average. 2. How to Use It: • Buy Signals: Generated when confidence level surpasses a threshold, MACD signal is bullish, CVD is positive, and optionally, volume filter conditions are met. • Sell Signals: Generated when confidence level surpasses a threshold, MACD signal is bearish, and optionally, volume filter conditions are met. 3. Market Conditions It Works In: The indicator is suitable for various market conditions, including trending, ranging, and volatile markets. It's particularly effective in identifying trends and potential reversals during periods of significant volume and price movement. 4. Base Indicators Explained: CVD: Measures volume-based buying or selling pressure. ATR: Indicates market volatility and potential price ranges. MACD: Identifies trend direction and momentum. G-Trend: Helps confirm bullish or bearish trends. 5. Volume Filter: The volume filter optionally includes green (bullish) or red (bearish) volume bars to confirm buy or sell signals. Traders can toggle the volume filter based on how many signals will be filtered from the daily volume inflows or outflows Volume Bar Colors: The volume filter compares the current volume bar color with the previous volume bar color. A green volume bar indicates that the closing price of the current bar is higher than the closing price of the previous bar, suggesting bullish sentiment. A red volume bar indicates that the closing price of the current bar is lower than the closing price of the previous bar, suggesting bearish sentiment. Filter Logic: For buy signals, the volume filter confirms bullish momentum by checking if the current volume bar is green (indicating buying pressure). For sell signals, the volume filter confirms bearish momentum by checking if the current volume bar is red (indicating selling pressure). Usage: Traders can choose to enable or disable the volume filter based on their trading preferences. Enabling the volume filter adds an additional confirmation criterion to buy and sell signals, potentially increasing the reliability of trade decisions. Disabling the volume filter ignores volume bar colors and relies solely on other criteria (such as MACD, CVD, and confidence level) for generating signals. Considerations: The volume filter is optional and can be toggled on or off based on individual trading strategies. It's important to consider the overall context of price action and volume trends when interpreting volume bar colors. Traders may adjust the sensitivity of the volume filter or combine it with other volume-based indicators for more nuanced analysis. Implementation: The indicator code includes logic to check volume bar colors (green or red) and incorporates this information into signal generation. Buy signals are confirmed by green volume bars, while sell signals are confirmed by red volume bars.
by Crypto_Capital_Int
Beating the S&P500 (SPX) Buy&Hold strategy by 16 timesS&P500 (SPX) strategy using Stochastic RSI Min-Max, normalized Volatility and Trailing Stop signals, beats the Buy&Hold strategy by 16 times Embarking on the quest to time the market accurately, the 'Holy Grail' of strategies, led me to create a script to approach this goal. Unlike other strategies that I tested, this one not only surpasses the long-term S&P500 Buy&Hold approach but does so by a remarkable 16.38 times! Initially, I employed an A.I. program based on an LSTM Neural Network using TensorFlow. Despite achieving a 55% next-day prediction accuracy for short/long positions, I sought improvement using a heuristic pine-scripting approach, incorporating stochastic RSI oscillators, moving averages, and volatility signals. With default parameters, this strategy, freely available as "XPloRR S&P500 Stock Market Crash Detection Strategy v2" delivered a staggering 2,663,001% profit since February 1871. In the same period, the Buy&Hold strategy "only" generated 162,599% profit. Picture this: a $1,000 investment in 1871 would now be worth $26,630,014 by February 2024. Check it out for yourself loading this strategy. The script operates as a Stochastic RSI Min-Max script, automatically generating buy and sell alerts on the S&P500 SPX. What sets it apart? The strategy detects "corrections," minimizes losses using Trailing Stop and Moving Average parameters, and strategically re-enters the market after detecting bottoms using tuned Stochastic RSI signals and normalized Volatility thresholds. Tailor its parameters to your preference, use it for strategic exits and entries, or stick to the Buy&Hold strategy and start new buy trades at regular intervals using buy signals only. In the pursuit of minimizing losses, the script has learned the effectiveness of a 9% trailing stop on trades. As you can clearly see on the upper graph (revolving around 100), the average overall green surfaces (profits) of all trades are much bigger than the average red surfaces (losses). This follows Warren Buffets first rule of trading to "Never lose money" and thus minimizing losses. Update: Advanced S&P500 Stochastic RSI Min-Max Buy/Sell Alert Generator I have also created an Alerter script based on the same engine as this script, which auto-generates buy and sell alert signals (via e-mail, in-app push-notifications, pop-ups etc.). The script is currently fine-tuned for the S&P500 SPX tracker, but parameters can be fine-tuned upon request for other trackers or stocks. If you are interested in this alerter-version script or fine-tuning other trackers, please drop me a message or mail xplorr at live dot com. How to use this Strategy? Select the SPX (S&P500) graph and set the value to "Day" values (top) and set "Auto Fit Data To Screen" (bottom-right). Select in the Indicators the "XPloRR S&P500 Stock Market Crash Detection Strategy v2" script and set "Auto Fit Data To Screen" (bottom-right) Look in the strategy tester overview to optimize the values "Percent Profitable" and "Net Profit" (using the strategy settings icon, you can increase/decrease the parameters). How to interpret the graphical information? In the SPX graph, you will see the Buy(Blue) and Sell(Purple) labels created by the strategy. The green/red graph below shows the accumulated profit/loss in % of to the initial buy value of the trade (it revolves around 100%, 110 means 10% profit, 95 means 5% loss) The small purple blocks indicate out-of-trade periods The green graph below the zero line is the stochastic RSI buy signal. You can set a threshold (green horizontal line). The vertical green lines show minima below that threshold and indicate possible buy signals. The blue graph above the zero line is the normalized volatility signal. You can set a threshold (blue horizontal line) affecting buy signals. The red graph above the zero line is the slower stochastic RSI sell signal. You can set a threshold (red horizontal line). The red areas indicate values above that threshold. However real exits are triggered if close values are crossing below the trailing stop value or optionally when the fast moving average crosses under the slow one. The red areas above the threshold are rather indicative to show that the SPX is expensive and not ideal to enter. Please note that in bullish periods the red line and areas can stay at a permanent high value, so it is not ideal to use as a strict sell signal. However, when it drops below zero and the green vertical lines appear, these are strong buy signals together with a high volatility. These Parameters can be changed Buy Stochastic Lookback Buy Stochastic Smoother Buy Threshold Buy Only After Fall Minimum % Fall Sell Stochastic Lookback Sell Stochastic Smoother Sell Threshold Sell Only With Profit Minimum % Profit Use Sell MA Fast MA Sell Slow MA Sell MA Sell Threshold Use Buy Volatility Volatility Smoother Volatility Threshold Use Trailing Stop Use ATR (iso of a fixed percentage for the trailing stop) ATR Lookback Trailing Stop Factor(or fixed percentage if "use ATR" is false) Trailing Stop Smoother Important : optimizing and using these parameters is no guarantee for future winning trades!
SP:SPXEducation
by XPl0RR
ETH Renko (Daily 14pd ATR block size), Potential Reversal @$3k My recent idea of a rising wedge bearish continuation pattern may be invalidated at this point because of ETH's pop up the 3k (unless i'm willing to accept the blemish of a large fakeout breakout). However, it still remains that things are looking overheated on multiple time-frames (w.r.t regular candles). Moreover, volume has been decreasing throughout this entire extended uptrend. So I took a step back and tried to see if renko bars could off a clearer view of that's going on with ETH. Looking at fib lines, there appears to be confluence around the $3000 level where ETH is currently meeting short term resistance. To a naive eye like mine, stoch rsi (14) and regular rsi (14 & 7) appear to be in a slowing/coiling uptrend. Perhaps a trend reversal is due assuming assuming the $3000 level holds as a stiff resistance and we get a legit bearish cross on the stoch. In the event of reversal, i'll be looking at $2500 and $2100 as the first levels levels to add. However i'm aware that we could go quite a bit lower if we actually reverse trend. Full disclosure, I sold around $2650 so yes i'm a little salty that we popped up to 3k haha.
INDEX:ETHUSD
by rlando
Mastering Stop-Loss with ATR IndicatorMastering Stop-Loss and Take-Profit with ATR Indicator What is the ATR Indicator? The Average True Range (ATR) indicator is a nifty tool that helps traders gauge the market's volatility. Simply, it tells you how much an asset typically moves in a given timeframe. Placing Stop Loss to Avoid Getting Stopped Out Step 1: Identify ATR Value Look at the ATR indicator on your chart; it's usually at the bottom or top of your screen. Note the ATR value; the higher it is, the more volatile the market. Step 2: Setting Stop Loss Set your stop loss beyond the ATR value to avoid getting prematurely stopped due to regular market fluctuations. For instance, if the ATR is 50, consider placing your stop loss at least 60 points away to give your trade room to breathe. Understand ATR's Role ATR not only helps with stopping losses but also guides in setting realistic take-profit levels. It gives you an idea of how much the asset can move in a given time, assisting you in capturing profits before a potential reversal. Final Tips for Beginners Adapt to Market Changes: ATR values change as market conditions shift. Stay adaptable and reassess your stop-loss and take-profit levels accordingly. Practice on Demo Accounts: Before diving into live trading, practice using the ATR indicator on demo accounts. Gain confidence and refine your strategy without risking real money. In essence, the ATR indicator is your ally in navigating market volatility. By using it wisely, you can enhance your risk management, safeguarding your trades from unnecessary stop-outs while optimizing your profit potential. Happy trading! 📈✨
VANTAGE:SP500Education
by Elite_Forex