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Mastering the Anchored Volume Profile: Setup & Tutorial on TVMastering the Anchored Volume Profile: Setup & Tutorial on TradingView 📊 The Anchored Volume Profile is a powerful tool that traders use to visualize volume distribution over a specified price range, providing critical insights into market behavior. Here’s a detailed description of its setup and usage on TradingView: In this video, we will be going in-depth into the following areas: What is the Anchored Volume Profile? The Anchored Volume Profile is a specialized indicator that helps traders understand the distribution of traded volume at different price levels. Unlike traditional volume profiles that analyze data over a fixed time period, the anchored version allows traders to anchor the volume analysis to specific bars, candles, or price points. Why Use the Anchored Volume Profile? Identifying Support and Resistance Levels: You can easily identify key support and resistance levels by analyzing where the most volume has been traded. Spotting Trends and Reversals: High-volume nodes can indicate areas of strong interest, helping to predict potential trend continuations or reversals. Improving Entry and Exit Points: Knowing where the market participants are most active can significantly enhance your decision-making process for entries and exits. How to set up the Anchored Volume Profile on TradingView: Add the Anchored Volume Profile Indicator: Click on the “Indicators” button at the top of the chart. Search for “Anchored Volume Profile” in the search bar. Select it from the list and apply it to your chart. Anchor the Indicator: Click on the anchor icon that appears on the chart. Drag it to the specific bar, candle, or price point where you want to start your volume analysis. Customize Settings: Adjust the settings to suit your trading style. You can modify the range, color, and other parameters to better visualize the data. Using the Anchored Volume Profile: Analyzing Volume Nodes: Identify high and low volume nodes. High volume nodes often act as support or resistance, while low volume nodes might indicate potential breakout areas. Understanding Market Sentiment: See where the majority of trading activity has taken place to gauge market sentiment. Making Informed Decisions: Use the insights from the volume profile to make better-informed trading decisions regarding entries, exits, and stop-loss levels.
NASDAQ:TSLAEducation
by RonnieV29
2
Leap Competition: Top 3% in 5 Days! Here's HowLast competition, I hit the top 2% in the Leap Competition on TradingView. This time, though, something clicked. In just 5 days, I was already back in the top 3%. I didn't change my strategy. Instead I focused on refining how I managed risk. I stopped obsessing over perfect entry points and focused on squeezing as much profit as possible from each trade. That meant shifting to a new management technique. I prioritized a high risk-to-reward ratio, knowing that fewer trades could yield better returns. By using a trailing stop-loss, each trade had room to reach its potential without getting cut off too soon. This approach transformed each trade into a high-upside opportunity, letting winners ride and securing profits along the way. Over the last few days, I made fewer than ten trades. Each one was carefully planned through a top-down approach, looking at the bigger picture on higher timeframes to catch the market’s broader trends. This view kept me aligned with the trend, setting up trades with stronger potential. What really amplified my results, though, was the trailing stop. By locking in profits while riding the market’s momentum, this tool turned profitable trades into standout winners. It let me capture each market move fully without jumping out too soon. Now, let’s get into the top trade that helped me to get into top 3% within less than a week: And here’s the trailing stop-loss indicator I’m using—perfect for trades with room to run: //@version=5 indicator("Swing Low Trailing Stop", overlay=true) // User Inputs initialStopPercentage = input.float(0.5, title="Initial Stop Loss Percentage", minval=0.01, step=0.01) * 0.01 Swing_Period = input.int(10, "Swing Period") i_date = input.time(timestamp("05 Nov 2024 00:00 +0300"), "Start Date") // Variables for tracking stop loss var float stopLossPrice = na var float lastSwingLow = na // Calculate Swing Low swingLow = ta.lowest(low, Swing_Period) // Logic if i_date == time stopLossPrice := low * (1 - initialStopPercentage) lastSwingLow := swingLow // Update Stop Loss if time > i_date newSwingLow = swingLow if (newSwingLow > lastSwingLow ) stopLossPrice := math.max(stopLossPrice, newSwingLow) lastSwingLow := newSwingLow // Plot the stop loss price for visualization plot(time >= i_date ? stopLossPrice : na, title="Trailing Stop Loss", color=color.red, linewidth=2, style=plot.style_linebr) With this refined approach, I can’t wait for next week and the fresh opportunities that lie ahead! Big thanks to the TradingView community for creating opportunities like this competition—it’s a game-changer. Getting to test and refine strategies in a real, competitive environment pushes all o us to get better every day! If you haven’t joined already, make sure to hop into the competition . It’s an incredible way to challenge yourself, sharpen your skills, and see how you stack up against other traders! Keep focusing on becoming 1% better every day if you want to make this happen. Moein
COINBASE:ETHUSDEducation
by Fractalyst
1
This is all you need to get started: a paper trading account!Starting your trading journey wisely means utilizing a Paper Trading account, also known as a demo account. This account simulates the real trading experience by mirroring market movements and conditions, but operates without the risk of losing real money. It offers traders access to comprehensive market data just like a live account, enabling practice with real-world price fluctuations—if Gold (XAU/USD) experiences a 5% rise or fall, the same scenario reflects in the demo account. This provides an excellent opportunity to understand market dynamics without financial exposure. A Beginner's Best Friend: The Demo Account For novice traders, a demo account is an essential entry point into the financial markets. It allows individuals to familiarize themselves with various trading aspects and strategies. Many traders base their transition to live trading on the insights and performance gleaned from their demo accounts. The convenience of setting one up is straightforward—simply use the Paper Trading option on TradingView to practice with a simulated account. Click on the Trading Panel of your chart, and you'll find the Paper Trading option on TradingView. Advanced Applications for Experienced Traders However, the utility of demo accounts isn’t confined to just beginners; seasoned traders also derive significant benefits. Experimenting with New Strategies Experienced traders frequently utilize demo accounts to try out and assess new trading strategies. This method serves as a safe way to test different approaches without putting their capital at risk. Evaluating Automated Tools Developers of trading bots and algorithms rely on demo accounts for comprehensive testing of their tools. These automated systems undergo rigorous backtesting in a zero-risk environment, ensuring they are ready for live trading scenarios. Training and Development Demo accounts serve as effective training platforms for both individual traders and those employed within financial institutions. Whether it’s a retail trader or a professional in a hedge fund, these accounts offer vital learning experiences that hone skills effectively. Skill Development and Confidence Building The benefits of demo accounts extend to enhancing both technical and soft skills. Fundamental competencies such as market analysis, strategy formation, and data interpretation can be improved in a low-stakes setting. Meanwhile, soft skills like patience, resilience, and adaptability receive a boost, ultimately shaping a well-rounded trader. Moreover, the journey can build confidence. Since trading can be intricate and losing money can shake one's self-assurance, a demo account provides a haven for refining trading strategies without risking actual funds. This psychological support can significantly influence success in the live markets, where self-confidence is often linked to profitability. How Long Should You Practice? The duration one should spend in a demo account varies, influenced by personal factors. For those transitioning to full-time trading, a minimum of three months is advisable. Though this may seem lengthy, it is a small price to pay for a comprehensive understanding of market dynamics and a variety of trading conditions. The Advantages of Practicing Day Trading in a Demo Account 1- Accelerated Learning Utilizing non-market hours for practice enables traders to quickly accumulate experience, far exceeding what can be gained during regular market sessions. 2- Preparedness for Quick Decisions Day trading requires rapid decision-making skills. Regular practice in a demo account equips traders to respond swiftly to market fluctuations. 3- Intuitive Market Recognition Frequent practice encourages an instinctual grasp of market conditions, vital for timely and effective trading actions. 4- Confidence in Trading Decisions Confidence plays a critical role in a day trader's success. Thorough practice in a risk-free environment allows traders to build confidence before they step into live trading. 5- Adaptability to Market Variability Day traders often experience victories and losses. Practicing within a controlled environment fosters a clear mindset to tackle each trade, essential for adapting to shifting market scenarios. 6- Setting Realistic Income Expectations Repeated practice enables traders to set achievable income expectations, cultivating a sensible outlook prior to committing to full-time trading. 7- Enhancing Chart Analysis Skills A demo account encourages traders to develop chart reading abilities without becoming overly reliant on them, promoting a balanced analytical approach. 8- Personal Trading Style Development The complexities of day trading call for personalized strategies. Regular practice in a demo account allows traders to foster their unique trading styles and embrace accountability for their decisions. 9- Effective Risk Management Practicing with margin in a demo account allows traders to experiment with leverage while treating each trade seriously. Also Read: and now... "Best Practices for Using Demo Accounts" To ensure you maximize the benefits of a demo account, adopt the following strategies: Serious Approach Although no real money is at stake, treating the demo account with seriousness enhances realism and deepens the learning experience. Realistic Capital Allocation Even though demo accounts may offer unlimited capital, traders should simulate an amount similar to their intended live trading capital for a more accurate experience. Maintain Consistent Leverage Using the same leverage plan that you would apply during live trading ensures that your demo experience aligns closely with potential future outcomes. Gradual Transition to Live Trading Transitioning from a demo account to live trading should be done thoughtfully. Test your strategies extensively in the demo environment, simulating real trading amounts, to reduce the likelihood of mistakes once you start live trading. In conclusion... In summary, a demo account is a vital resource for both novice and experienced traders navigating the complexities of financial markets. For beginners, it provides a risk-free avenue to grasp market dynamics and develop essential trading techniques. For seasoned professionals, demo accounts are indispensable for strategy testing, evaluating automated tools, and enhancing both technical and psychological skills. While the ideal duration in a demo account varies from trader to trader, committing to three months is recommended for anyone serious about entering full-time trading. Day traders particularly stand to gain by practicing within a demo setting, allowing them to accelerate skill acquisition, prepare for snap decisions, and foster a robust sense of confidence. The structured environment of a demo account promotes the crafting of personalized trading strategies, the establishment of effective risk management practices, and the ability to adapt to real-world market conditions. Lastly I would like to add this previous lecture to this post, I'm sure will be useful for you... The Psychology Of Trading How To Manage Your Emotions and.. The Benefits of Keeping a Trading Journal for Your Psychology ✅ Please share your thoughts about this article in the comments section below and HIT LIKE if you appreciate my post. Don't forget to FOLLOW ME; you will help us a lot with this small contribution.
Education
by FOREXN1
1
Algorithmic vs. Quantitative Trading: Which Path Should You TakeI’ve always wondered why anyone would stick to traditional trading methods when algorithms and mathematical models could do all the heavy lifting. I started questioning everything: • Why do so many mentors still swear by discretionary trading when algorithms could handle all the heavy lifting? • Do they really have solid proof of their “own” success, or is it just talk? • Or are they keeping things complex and discretionary on purpose, to confuse people and keep them as members longer? • Why deal with the stress of emotions and decisions when an algorithm can take care of it all? • Imagine how much further ahead you could be if you stopped wasting time on manual trades and instead focused on market research and developing your own models. When I first got into trading, I thought Algorithmic Trading and Quantitative Trading were basically the same thing. But as I dug deeper, I realized they’re two completely different worlds. Algorithmic Trading: It’s simple – you set the rules and the algorithm executes the trades. No more sitting in front of the screen “controlling your emotions” and trying to manage every little detail. Instead, you let the algorithm handle it, based on the rules you’ve set. It frees up your time to focus on other things rather than staring at price charts all day. But here’s the thing – it’s not perfect. You’ll still need to test the rules to make sure the data and results you’re getting aren’t overfitted or just random. Quantitative Trading: A whole different level. It’s not just about executing trades; it’s about understanding the data and math behind market movements. You analyze historical price, economic, and political data, using math and machine learning to predict the future. But it can be complex – techniques like Deep Learning can turn it into a serious challenge. The upside? This is the most reliable way to trade, and it’s exactly what over 80% of hedge funds do. They rely on quant models to minimize risk and to outperform the market. So, which path should you choose? Quantitative Trading can feel overwhelming at first, I recommend starting with the basics. Begin with Pine Script coding in TradingView—start building a foundation with simple strategies and indicators. As you grow more confident, start coding your own ideas into rules and refining your approach to eventually automated your trading strategy. TradingView is a great tool for this, and I’d highly suggest grabbing the Premium plan. This will give you access to more data and features to make your learning journey smoother. Dive into the Pine Script documentation , and begin bringing your ideas to life. I promise, the more you focus on this, the better and more independent you’ll become in trading. Every day, aim to get just 1% better. To Your success, Moein
COINBASE:ETHUSDEducation
by Fractalyst
1
How to Turn TradingView Strategy into Automated Exchange OrdersAutomating trading strategies can be an intimidating task, especially when you need to manage execution across multiple exchanges. It requires not only developing a solid strategy but also coordinating order execution, tracking trade performance, and integrating with various APIs—all of which can quickly turn into a time-consuming endeavor. Imagine, though, if you could streamline this process: using TradingView alerts to trigger real trades automatically on your chosen exchange. There are ways to convert your TradingView strategy alerts into live orders, helping to simplify trade automation. This approach allows traders to automate entries, exits, and risk management, reducing the need for manual intervention and enabling a more hands-off trading experience. In this article, we'll walk through the step-by-step process to automate trades using TradingView alerts, making it easier for you to focus on developing your strategies while ensuring that your orders are executed smoothly across multiple exchanges. 1. Click Alert Messages in your bot, copy webhook URL, strategy action parameters and alert message 2. Go to TradingView charts, select trading pair, choose strategy and apply it to the chart Note: click Create a working copy in case it is a community script to have edit access 3. Add alert_message parameters from the bot to strategy entry, close or exit actions and click Save 4. Set the chart timeframe and strategy configuration until backtest results meet your expectations 5. Click Alert, select strategy as condition, paste bot's alert message, set webhook URL and click Create By following a few straightforward steps, you can automate your TradingView strategies using alert-based systems. This integration allows your trades to be executed directly on your preferred exchange, enabling you to concentrate on strategy development rather than manual execution. Whether managing entries, exits, or adjusting risk levels, this approach helps streamline the entire process, making trading more efficient and reliable. Alert-based automation works across major exchanges like Bybit, Binance, OKX, and others, offering flexibility and control over your trading strategies, regardless of market conditions.
Education
by Skyrexio
Recommended Books for a Trader from Beginner to ExpertHere is my subjective list of recommended books for traders. While there is some overlap in the material—especially regarding technical analysis and risk management—each book offers unique concepts and tools, enriching your learning path and expanding your skillset. I'm not sharing any links but all books are easily accessible on the internet. Beginner Level: 1. “Trading the Trends” by Fred McAllen This book introduces readers to the fundamentals of market operations, technical analysis, and option trading. McAllen, a retired stockbroker and active investor, emphasizes the importance of recognizing market trends early and provides strategies suitable for long-term investing. The book includes real-world examples to help readers understand and apply trend-trading techniques effectively. 2. “How to Swing Trade” by Brian Pezim & Andrew Aziz Co-authored by experienced traders, this book focuses on swing trading strategies, which involve holding positions for several days to weeks. It covers topics such as identifying profitable trades, managing risk, and understanding market psychology. Additionally, the book introduces fundamental analysis concepts, aiding traders in making informed decisions. Andrew Aziz is the founder of Bear Bull Traders, a community of independent stock traders and analysts. Intermediate Level: 3. “Charting and Technical Analysis” by Fred McAllen In this comprehensive guide, McAllen delves deeper into technical analysis, teaching readers how to interpret price movements and market trends. The book covers various charting techniques, candlestick patterns, and indicators, providing readers with the tools needed to make informed trading decisions. It's designed to help traders recognize market tops and bottoms, entry and exit points, and understand the dynamics of buying and selling pressures. 4. “How to Day Trade for a Living” by Andrew Aziz This book offers a comprehensive overview of day trading strategies, including risk management principles and the configuration of stock screeners. Aziz shares his personal experiences and insights, making complex concepts accessible to intermediate traders. The book also provides guidance on developing a trading plan and maintaining discipline in the fast-paced world of day trading. Andrew Aziz is the founder of Bear Bull Traders, a community of independent stock traders and analysts. 5. “The Wyckoff Methodology in Depth” by Rubén Villahermosa Villahermosa provides an in-depth exploration of the Wyckoff methodology, focusing on principles such as accumulation/distribution, markup/markdown, cause-effect and other. The book includes numerous case studies that demonstrate the application of these techniques, making it suitable for both day and swing traders. Readers will gain a solid understanding of market cycles and the behavior of different market participants. Expert Level: 6. “Wyckoff 2.0” by Rubén Villahermosa Building upon his previous work, Villahermosa introduces Volume Profile analysis and integrates it with Wyckoff principles. This advanced material is designed for experienced traders looking to deepen their understanding of market dynamics and enhance their trading strategies. The book provides detailed explanations and practical examples to help traders apply these concepts effectively. 7. “Markets in Profile” by Jim Dalton Authored by a renowned industry expert, this book explores Market Profile analysis, a tool used by many traders to understand market behavior. While it may not be highly practical for all readers, it offers substantial insights and encourages traders to think critically about market structure and participant behavior. The book emphasizes the importance of context in trading and provides a framework for understanding market movements. All Levels: 8. “Trading in the Zone” by Mark Douglas Focusing on trading psychology, this book addresses the mental aspects of trading, such as discipline, confidence, and risk perception. Douglas provides insights into developing a winning mindset and overcoming common psychological barriers that traders face. It's a valuable read for traders at any level seeking to improve their mental approach to trading. Let me know what you think
COINBASE:BTCUSDEducation
by hermes_trisme
Daily ATR 2 and 10 Percent Values indicator for stop lossThis indicator displays three values: the ATR value, a 2% value and a 10% value of the Daily ATR. After adding the indicator to your chart, follow these steps to view the values and labels on the right: 1. Right-click on the price level bar or click the gear icon at the bottom of the price bar. 2. Select "LABELS." 3. Check mark the boxes for the following options: - "INDICATORS AND FINANCIAL NAME LABELS" - "INDICATORS AND FINANCIAL VALUE LABELS." 4. Look for D-ATR % Value, click on the gear icon and verify these settings D-ATR Lenght = 14 ATR Lenght = 14 Smoothing = RMA Timeframe = 1 Day 5. Select Wait for timeframe closes 6. Click on Defaults, Save as default, and click ok. You can move the indicator to the top of your chart if preferred, by clicking on Move pane up. Please keep the following in mind: when you scroll to the left of the chart if the indicator appears transparent, as shown in this image, it means you are not viewing the most recent values, likely because you are not at the end of the chart. To obtain the latest data, either click this button or this other one to reset the chart view or scroll to the end of the chart.
NYSE:MAEducation
by TraderMrE
What is Divergence?Divergence in trading occurs when the price of an asset moves in the opposite direction of a technical indicator. This mismatch indicates that the momentum behind the price action may be weakening, often suggesting a potential reversal. By learning to spot divergence, traders can anticipate market changes, either as a reversal in trend (regular divergence) or a trend continuation (hidden divergence). Types of Divergence Regular Divergence Hidden Divergence 1. Regular Divergence Regular divergence is a classic form that suggests a potential trend reversal. It happens when the price action and an oscillator (like RSI or MACD) display conflicting information, often indicating that the current trend may be losing strength. Types of Regular Divergence: Bullish Regular Divergence: Occurs when the price makes lower lows, but the indicator makes higher lows. This suggests a potential reversal to the upside as the selling momentum weakens. Bearish Regular Divergence: Occurs when the price makes higher highs, but the indicator forms lower highs. This indicates potential downside momentum, often preceding a downtrend. How to Identify Regular Divergence: Use an oscillator such as the RSI, MACD, or stochastic indicator. Look for situations where the price action forms new highs or lows, while the oscillator forms opposite lows or highs. Confirm the trend by observing the price trendlines to determine the type of regular divergence (bullish or bearish). Trading Regular Divergence: Bullish Regular Divergence: When you identify bullish regular divergence, consider entering a long position once the price shows signs of reversal, like a bullish engulfing candle or another bullish reversal pattern. Bearish Regular Divergence: For bearish regular divergence, a short position may be taken once you confirm a bearish reversal pattern, such as a bearish engulfing candle or shooting star formation. Example: If the price of a stock is making higher highs but the RSI is making lower highs, this is a bearish regular divergence. You could consider shorting the asset or closing long positions as a precaution, anticipating a potential trend reversal. 2. Hidden Divergence Hidden divergence indicates potential trend continuation. It suggests that although there may be a pullback, the primary trend will likely resume. Types of Hidden Divergence: Bullish Hidden Divergence: Occurs when the price forms higher lows, but the indicator makes lower lows. This pattern signals that the uptrend is likely to continue. Bearish Hidden Divergence: Occurs when the price makes lower highs, but the oscillator makes higher highs, indicating a potential continuation of a downtrend. How to Identify Hidden Divergence: Observe the trend direction of the price. Hidden divergence typically appears during pullbacks in a strong trend. Use the oscillator (RSI, MACD, etc.) and compare the highs and lows formed by both the price and indicator. Confirm the pattern: if the price and indicator form opposing highs or lows, it may indicate hidden divergence. Trading Hidden Divergence: Bullish Hidden Divergence: Enter a long position after identifying bullish hidden divergence, especially if the primary trend is upwards and the oscillator is showing a lower low. Bearish Hidden Divergence: A short position can be considered when bearish hidden divergence is identified, and the primary trend is downwards, with the oscillator showing a higher high. Example: Suppose an asset’s price makes higher lows in an uptrend, but the RSI makes lower lows. This indicates bullish hidden divergence, suggesting that the pullback might end, and the uptrend is likely to continue. Enter a long position, placing a stop loss below the recent swing low to manage risk. Indicators Used for Identifying Divergence Relative Strength Index (RSI): RSI measures the strength and speed of price movement, making it ideal for identifying overbought and oversold conditions. Moving Average Convergence Divergence (MACD): MACD tracks the difference between two moving averages of the price and can be used to detect shifts in momentum. Stochastic Oscillator: This oscillator helps detect potential turning points by comparing the closing price to the range over a set period. Each of these indicators helps identify divergence differently. For example: If RSI or Stochastic is diverging from price action, it may indicate that momentum is waning. MACD can be useful to spot both regular and hidden divergences, especially on larger timeframes. How to Trade Divergence Confirm Divergence: Use divergence to identify a potential reversal or continuation pattern, but confirm it with additional signals such as candlestick patterns or volume analysis. Set Entry Points: Wait for a price action signal (e.g., a candlestick pattern) in the direction indicated by the divergence. A bullish divergence might signal a buying opportunity after a bullish candlestick, while a bearish divergence could indicate a selling opportunity after a bearish pattern. Use Stop Loss Orders: Place a stop loss slightly below or above recent highs or lows to manage risk. For example, in bullish divergence, place a stop loss below the swing low to protect against downside risk. Set Profit Targets: Use support and resistance levels, Fibonacci retracement levels, or moving averages to set profit targets. Tips for Successful Divergence Trading Combine with Other Indicators: Use moving averages or trendlines to confirm the overall trend direction. Choose Longer Timeframes for Stronger Signals: Divergence on longer timeframes (e.g., daily or weekly) tends to produce stronger signals than shorter timeframes (e.g., 15-minute or hourly). Don’t Trade Divergence in Choppy Markets: Divergence is more effective in trending markets. Avoid using divergence in low-volume or range-bound conditions, as it could result in false signals. Stay Aware of False Signals: Not all divergences result in profitable trades. Always use risk management tools, such as stop losses and position sizing, to minimize potential losses. Hope you enjoyed the content I created, You can support with your likes and comments this idea so more people can watch! ✅Disclaimer: Please be aware of the risks involved in trading. This idea was made for educational purposes only not for financial Investment Purposes. --- • Look at my ideas about interesting altcoins in the related section down below ↓ • For more ideas please hit "Like" and "Follow"!
Education
by Crypto4light
Trust is Earned: My Journey Toward Becoming a Responsible VendorIntroduction: Learning from Setbacks (and Sharing for Others on the Same Journey) Everyone makes mistakes, and I have certainly made my fair share. I want to share my personal journey of learning from my past missteps on TradingView, my efforts to deeply understand the platform's guidelines, and my aspiration to become a responsible vendor, in the hope that others on the same journey can learn from it. This story is about the importance of compliance, transparency, and what it means to genuinely add value to a community of traders.  Disclaimer: I am a provider of technical indicators (all free at this point, but some will be paid in the future), This article is purely for informational & educational purposes for the greater community. Mistakes and Realizations I won’t shy away from admitting that I've faced temporary bans on TradingView. At first, I saw these bans as setbacks that were challenging and frustrating. But over time, I realized they were valuable opportunities to understand what it really means to contribute responsibly to this incredible platform. Those experiences prompted me to reflect on my actions and invest time in learning the rules that govern this community— not just to avoid future bans, but to truly align with the values of TradingView. Areas of Growth and Mastery To ensure my growth as both a script publisher and a prospective vendor, I focused on mastering three key areas that are critical for contributing meaningfully to TradingView: Clear Communication and Respect for Moderators: One of the first things I learned was the importance of making my content clear and accessible to all traders. While I have always strived for originality and avoided plagiarism, I realized that clarity is just as crucial. Ensuring that my work is understandable helps others fully appreciate and benefit from the ideas I share. Additionally, I learned to respect and comply with moderator feedback, which has been instrumental in improving my content. Creating Impactful and Original Contributions: I have always aimed to provide original and valuable content, but through my journey, I further educated myself on how to better meet community needs. Rather than simply reiterating existing ideas, it's essential to focus on creating content that directly helps traders understand or solve a specific issue. Ensuring that descriptions are clear and straightforward, offering immediate insights that traders can act upon, is critical to creating impactful content. Charts should be presented in a clean and informative manner, without making unrealistic claims about performance. Run away if someone promises to turn $500 into 5k overnight.  Building Trust Through Ethical and Transparent Practices: Unfortunately, there are many scammers out there, and many traders fall into traps buying so-called 'holy grail' tools that promise unrealistic returns. It's crucial to be aware of these pitfalls and ensure transparency and ethical practices are at the forefront. Although I’m not yet a vendor, I aspire to be one. This means understanding the expectations for providing quality tools and services. Honesty and ethical business practices are fundamental—it's not about making sales, but about building trust with the community. Being transparent and ensuring the tools are genuinely helpful to traders and investors without overpromising results goes a long way in building trust. Although I’m not yet a vendor, I aspire to be one. This means understanding the expectations for providing quality tools and services. Honesty and ethical business practices are fundamental—it's not about making sales, but about building trust with the community. Being transparent and ensuring the tools are genuinely helpful to traders and investors without overpromising results goes a long way in building trust. It is essential for every indicator and strategy, whether paid or free, to provide real value to traders and investors. ❖ Adding Value: Insights from Community Feedback Through my journey, I also received feedback from moderators, which helped me understand how to align my contributions better with the expectations of TradingView. One key takeaway was that adding value to traders must be actionable, realistic, and grounded in the community's needs. It’s not enough to simply share insights or predictions; it’s about helping others make informed decisions, understanding the risks involved, and learning together. It is crucial to emphasize honesty, respect for users, and the importance of providing value before expecting anything in return. This principle must become a core part of how contributions should be approached. Many of my scripts are available for free, and seeing traders use them and benefit from them has been incredibly rewarding. ✹ My Aspiration to Become a Responsible Vendor Every vendor's goal must be to genuinely support traders by improving their strategies and decision-making through transparency, ethical practices, and adherence to guidelines. Building trust takes time, and I strive to align my offerings with TradingView's core values: respect for traders, adding true value, and fostering collaboration. My current focus is on refining my skills, publishing original content, and ensuring that every tool I create serves an educational purpose, genuinely helping traders navigate market complexities. Conclusion: Earning Trust, One Step at a Time The journey to becoming a responsible vendor is about more than just meeting requirements—it's about contributing to a community in a way that is genuine, transparent, and respectful. I am committed to continuing this journey, learning from past mistakes, and striving to add value every step of the way. Trust is earned, not given, and I’m ready to keep earning it.
INDEX:BTCUSDEducation
by fract
6
Stop Losses: Protecting Your Trades and Building Consistency Stop losses are a critical tool for any trader aiming to manage risk and protect capital. A stop loss is a preset level at which a trade will automatically close to prevent further losses if the price moves against you. This approach is one of the most effective ways to protect your account, and understanding how to set and use stop losses correctly can help you trade more confidently. In this article, I will discuss why stop losses are essential, the types of stop losses available, and how they link to other core strategies like position sizing and maintaining consistency. Why Every Trader Needs a Stop Loss The primary role of a stop loss is to limit potential losses on a trade. By setting a stop loss level, you define your risk before entering the trade, which helps ensure that no single trade can damage your account significantly. This practice is fundamental to disciplined trading, where managing risk is just as important as aiming for profits. When you use stop losses, you’re able to protect your account without relying on emotions or making quick decisions based on fear or market volatility . Using stop losses also promotes consistency, as it allows traders to follow their strategy and avoid unexpected, large losses. Knowing your risk upfront means you can execute your trades with a clear plan, focusing on opportunities rather than worrying about sudden market moves. This consistency is key to achieving long-term success in trading 🚀. The Types of Stop Losses Every Trader Should Know There are different types of stop losses, each suited to particular trading strategies and market conditions. Here are some of the most common types and how they work: Fixed Dollar or Percentage Stop Loss This is the simplest type, where you set a specific dollar amount or percentage of your capital as the maximum loss. Example: If you’re willing to lose $100 on a trade, you place a stop loss that will close your position if the loss reaches $100. Technical Stop Loss A technical stop loss is set using chart levels, like support or resistance, which reflect natural points where prices may bounce or reverse. Example: If a stock has support at $48 and you buy it at $50, you might set your stop loss just below $48. This way, if the price breaks the support level, the trade closes to prevent further loss. Trailing Stop Loss A trailing stop loss adjusts upward as the price moves in your favor, locking in profits if the stock reverses. Example: If you buy a stock at $50 with a $1 trailing stop, and the price rises to $55, your stop automatically moves to $54. If the price then drops to $54, the trade closes, protecting your $4 profit. Volatility-Based Stop Loss This type of stop loss takes into account the stock’s usual price swings, setting the stop far enough away to avoid being triggered by minor fluctuations. Example: If the ATR (Average True Range) of a stock is $2, you might set your stop $3 below your entry point to account for normal market movements. Time-Based Stop Loss A time-based stop loss closes the position after a set period, which is particularly useful for day traders who avoid holding trades overnight. Example: A day trader might exit all trades by 4 p.m., regardless of the price movement, to avoid the risks of holding overnight positions. How Stop Loss and Position Sizing Work Together Stop losses and position sizing are deeply connected. Position sizing is the amount of capital you commit to each trade, and it’s based on your risk tolerance and the distance to your stop loss level. For instance, if you have a $10,000 account and want to risk only 1% per trade (or $100), you’ll need to calculate how many shares you can buy based on the distance to your stop loss. Let’s say your stop loss is $5 away from your entry price. To stick to your $100 risk limit, you would only buy 20 shares ($100/$5 stop distance). By setting your position size relative to your stop loss, you control how much of your capital is at risk. This approach keeps your losses small enough that no single trade can impact your overall capital significantly, allowing you to trade consistently and confidently. How Stop Losses Contribute to Consistent Trading Stop losses are essential for maintaining consistency in trading. They allow you to avoid big losses that can drain your capital and help keep emotions in check, allowing you to trade with a clear mind. Using stop losses also helps you keep your risk-to-reward ratio in balance, so even if some trades go against you, the overall profits from successful trades will outweigh these losses. This discipline keeps you aligned with your strategy and limits impulsive actions, which are often harmful to trading success. In this way, stop losses help establish a consistent, repeatable process that strengthens your trading foundation and increases your chances of long-term success. I know very well the frustration of seeing my stop losses being hit, but believe me, the worst feeling is getting stuck with a large loss for weeks, months, or even years. Sometimes, stocks never recover.
NASDAQ:AMZNEducation
by David_874
Surviving Drawdown: The Battle Between You and the MarketThe Battle Between You and the Market Every trader, no matter how seasoned, eventually encounters the nemesis of every strategy: drawdown. It’s that dreaded phase where the market isn’t quite ready to move in the direction of your bias, and your account balance starts to bleed. The key to surviving drawdown isn’t just about protecting your capital—it’s about protecting your mind. The mental toll of seeing your carefully plotted trades go red can lead to fatigue, impulsivity, and, in some cases, abandonment of your well-thought-out plan. But here’s the reality: drawdowns are part of the game. The market doesn’t move on your schedule, and it certainly doesn’t care about your bills, goals, or aspirations. Harsh, but true. In the world of trading, few experiences are as daunting as facing a drawdown. This period, where the market refuses to move in the direction of your bias, can feel like an endless slog through thick mud. It's during these times that trader fatigue sets in, and the mental strain can become overwhelming. But surviving a drawdown isn’t just about weathering the storm; it’s about maintaining focus, sticking to your plan, and emerging stronger on the other side. Understanding Drawdown: A Necessary Evil Drawdowns are an inevitable part of trading, a reality that every trader must confront. They occur when your account equity declines from its peak, often resulting from a series of losing trades. This is not a reflection of your skills or judgment; rather, it’s a natural fluctuation in the market. Accepting this fact is crucial for maintaining a balanced mindset. It’s easy to get caught up in the emotional turmoil that accompanies a drawdown. You might start questioning your strategy, second-guessing your decisions, or even feeling a deep sense of fatigue that clouds your judgment. Recognizing that drawdowns are temporary and often necessary for long-term success is the first step towards mental fortitude. The Weight of Trader Fatigue Trader fatigue is real, and it can manifest in various forms: diminished focus, irritability, and an overall lack of clarity in decision-making. As the drawdown drags on, it’s common to feel like you’re fighting an uphill battle, grappling with both the market and your own psyche. The key to overcoming this fatigue is to remain steadfast in your commitment to your trading plan. Embrace the discipline that brought you to trading in the first place. Remember, every successful trader has weathered their share of drawdowns. It’s not about the setbacks; it’s how you respond to them that defines your journey. Stick to the Plan: The Importance of Discipline When faced with a drawdown, the temptation to abandon your trading plan can be strong. You might be lured into making impulsive trades or deviating from your established strategy in an attempt to “make back” your losses. This is a perilous path. Instead, focus on the process. A well-defined trading plan serves as your guiding compass, ensuring that you stay on course, even when the waters are choppy. Utilizing Alerts: The Power of TradingView One of the most effective tools in your trading arsenal is the alert feature available on platforms like TradingView. Set alerts for key price levels or indicators that align with your trading strategy. This simple act allows you to step away from the charts, minimizing stress and providing the mental space you need to reset. By using alerts, you can disengage from the constant fluctuations of the market without losing touch with your strategy. Instead of staring at the screen, waiting for the market to conform to your bias, you can live your life—confident that you’ll be notified when it’s time to reassess your position. Embrace Patience and Mindfulness During a drawdown, patience is not just a virtue; it’s a necessity. The market operates on its own timetable, and as traders, we must learn to respect that. Implement mindfulness techniques to cultivate a sense of calm and clarity. Engage in practices like meditation, deep breathing, or even short walks to recharge your mental energy. This approach allows you to view the market from a fresh perspective, reducing the noise of frustration and fatigue. Cultivating a mindset of patience will enable you to remain focused on your long-term goals rather than being derailed by short-term setbacks. Keeping Perspective: The Long Game Finally, keep in mind that trading is a marathon, not a sprint. Drawdowns, while difficult, are often precursors to periods of growth and profitability. By maintaining perspective, you can navigate these challenging times with resilience. Celebrate your wins, no matter how small, and remember that every setback brings with it valuable lessons. Surviving a drawdown is an essential part of the trader's journey. Embrace the process, stay disciplined, and utilize the tools at your disposal—like TradingView alerts—to ease the mental burden. By maintaining focus and perspective, you can emerge from the drawdown not just intact, but stronger and more equipped for future challenges. Remember, in the world of trading, persistence pays off. The key to success lies in how you respond to the inevitable ups and downs. Stay the course, and the markets will eventually align with your bias once more.
Education
by TLTurnerTV
Open Interest ExplainedOpen interest (OI) is a critical concept in the world of trading, particularly in the futures and options markets. It represents the total number of outstanding contracts that have not been settled or closed. Understanding open interest can provide valuable insights into market sentiment, liquidity, and potential price movements. In this article, we will explore what open interest is, how it affects trading, and what traders should consider when analyzing it. What is Open Interest? Open interest is defined as the total number of outstanding derivative contracts—such as futures and options—that have not yet been settled. Each time a new contract is created (when a buyer and seller enter into a new agreement), the open interest increases. Conversely, when a contract is settled or closed, the open interest decreases. For example, if a trader buys a futures contract, open interest increases by one. If another trader sells the same contract to close their position, open interest decreases by one. Why is Open Interest Important? Open interest provides insights into market activity and can indicate the strength of a price trend. Here are some key reasons why open interest is important for traders: Market Sentiment: Open interest can help traders gauge market sentiment. Rising open interest, especially alongside rising prices, suggests that new money is entering the market and that the bullish trend may continue. Conversely, increasing open interest with falling prices may indicate that bearish sentiment is growing. Liquidity Indicator: Higher open interest generally indicates greater market liquidity. This means that traders can enter and exit positions more easily, which is especially important for large institutional traders who need to manage large orders without significantly impacting the market price. Potential Price Movements: Analyzing open interest trends can help traders predict potential price movements. For instance: - Increasing Open Interest + Rising Prices: This combination suggests that new bullish positions are being established, indicating a potential continuation of the uptrend. -Increasing Open Interest + Falling Prices: This scenario may indicate that new bearish positions are being taken, suggesting a potential continuation of the downtrend. -Decreasing Open Interest: A decline in open interest, particularly in conjunction with rising prices, may suggest that traders are closing their positions, which can signal a weakening trend. How to Analyze Open Interest When analyzing open interest, traders should consider several factors: [ b]Contextual Analysis: Always consider open interest in conjunction with price movements. Relying solely on OI without considering price action can lead to misleading interpretations. Volume Comparison: Compare open interest with trading volume. High volume alongside increasing open interest is generally a positive sign for a trend, while high volume with decreasing open interest may signal trend exhaustion. Market Events: Be aware of upcoming economic reports, earnings announcements, or other events that may impact market sentiment and influence open interest. Different Markets: Open interest can behave differently across various asset classes. For example, in commodity markets, high open interest might reflect hedging activity, while in equity options, it could indicate speculative interest. Open interest is a valuable tool for traders to assess market sentiment, liquidity, and potential price movements. By analyzing it alongside price action and volume, traders can gain deeper insights into market trends and make more informed trading decisions. However, like any trading indicator, it works best when combined with other forms of analysis for a well-rounded strategy.
Education
by HexaTrades
Mastering Support and Resistance: An Essential Tools for SuccessSupport and resistance are cornerstone principles in trading, offering crucial insights into price dynamics and market behavior. These levels act as key indicators, signaling points where an asset's price is likely to either pause or reverse direction. Support refers to the price level where strong demand prevents further declines, while resistance marks the point where selling pressure halts a price rise. Understanding and effectively utilizing these concepts can make a significant difference in trading success. In the realm of technical analysis, which focuses on using historical market data to predict future price movements, understanding support and resistance is essential. Traders rely on these levels to pinpoint optimal trade entry and exit points while also managing risk effectively. By recognizing where the market may reverse or maintain its trajectory, traders can craft more robust strategies. Decoding Support and Resistance Levels Support and resistance levels are vital price points on a chart that traders use to forecast future market behavior. Support represents a level where a downtrend is likely to pause, driven by a concentration of buying interest. In other words, it's the price point where demand is strong enough to stop further declines. For instance, if a stock repeatedly drops to $100 and then bounces back, $100 becomes a recognized support level. On the flip side, resistance is the price level where an uptrend often halts due to a high volume of sellers. Unlike support, resistance is where selling pressure overpowers buying interest, preventing prices from climbing further. If a stock consistently hits $150 and then retreats, $150 serves as a resistance level. Example Support and Resistance on Silver These levels are significant because they represent psychological thresholds for market participants. When prices approach support, buyers may step in, seeing it as a good entry point. Conversely, when prices near resistance, sellers might take action, expecting the price to struggle moving higher. Understanding how these levels work helps traders refine their timing and make more informed decisions. The Impact of Support and Resistance in Technical Analysis Support and resistance are pivotal in technical analysis, guiding traders in interpreting market movements and predicting future price trends. These levels act as psychological barriers that help determine whether a price trend will persist or reverse. For example, if a stock repeatedly approaches a resistance level but fails to break through, traders may interpret this as strong selling pressure and consider selling or shorting the asset. Conversely, if a price consistently rebounds off a support level, traders might see it as a buying opportunity. Example Resistance and Support on Apple Stock Visual tools like charts and diagrams are indispensable for identifying support and resistance levels. By drawing horizontal lines at points where the price has historically reversed, traders can easily spot critical levels and predict potential market movements. These visual aids enhance decision-making by providing a clear picture of where key price barriers lie. The Crucial Role of Support and Resistance Levels in Trading Strategies Support and resistance levels are the foundation of successful trading strategies, offering traders the tools to optimize entry and exit points, maximize profits, and manage risks effectively. For example, when a price hovers near a support level, a trader might take a long position, anticipating a rise in value. Simultaneously, they could place a Stop Loss just below the support level to limit potential losses if the price unexpectedly drops. Similarly, resistance levels provide invaluable insights for deciding when to exit trades or set profit targets. If a price approaches resistance, it might be wise to close a position to secure gains or prepare for a possible reversal. Understanding and identifying support and resistance levels also play a vital role in risk management. Setting Stop Loss orders near these levels helps traders protect their capital from significant losses if the market turns against them. This disciplined approach not only enhances profitability but also promotes long-term success in trading. Different Forms of Support and Resistance Support and resistance levels come in various forms, each providing unique perspectives on market behavior. The most common types include horizontal levels, trendlines, and moving averages. --Horizontal Support and Resistance: These levels are drawn at points where the price has consistently reversed in the past, making them straightforward and widely recognized. Horizontal Resistance on Tesla Stock --Trendline Support and Resistance: Trendlines connect a series of higher lows in an uptrend or lower highs in a downtrend, acting as dynamic support and resistance. In an uptrend, the trendline can signal buying opportunities, while in a downtrend, it might serve as resistance. Trendline Support on EUR/USD --Moving Averages: Moving averages, such as the 50-day or 200-day average, often act as support or resistance. For instance, during an uptrend, a pullback to the 50-day moving average can indicate a buying opportunity. Moving Averages Used as Support and Resistance on USD/CAD How to Identify Key Support and Resistance Levels To identify strong support and resistance levels, traders use several strategies: --Spot Price Clusters: Look for areas where the price consistently reverses direction, signaling strong support or resistance zones. --Use Technical Indicators: Tools like Fibonacci retracements help identify potential reversal levels during pullbacks by dividing a price move into key percentages (38.2%, 50%, and 61.8%). Fibonacci Tool used as Support and Resistance areas on DXY Common Pitfalls When Using Support and Resistance in Trading While support and resistance are essential, there are common mistakes traders should avoid: --Over-Reliance on Exact Numbers: Support and resistance are better viewed as zones rather than exact values. Prices may fluctuate slightly above or below these levels before reversing. --Ignoring Confirmation Signals: Jumping into trades without confirmation can lead to losses. Always look for signs like candlestick patterns or increased volume to confirm that the level will hold. --Chasing Breakouts Too Hastily: Not all breakouts result in sustained trends. Waiting for confirmation, such as increased volume, helps avoid being caught in a false breakout. --Impatience: Many traders act prematurely at support or resistance levels. Patience is key—stick to your trading plan and wait for the right setup. Advanced Strategies for Support and Resistance Trading For more experienced traders, support and resistance levels can serve as the basis for advanced strategies: --Breakouts: A breakout occurs when the price moves above resistance or below support, often signaling the start of a new trend. Confirming breakouts with increased volume helps reduce the risk of false signals. Breakout Confirmation on BTC --Fakeouts: Prices may temporarily breach support or resistance before reversing direction. Advanced traders capitalize on these by waiting for the price to return within the range and then taking positions in the opposite direction. Fakeouts on BTC --Reversals: Traders use reversal strategies when the price changes direction after hitting support or resistance, often signaling the start of a new trend. Area $72000 resistance used as reversal on BTC Conclusion Mastering support and resistance levels is vital for any trader aiming for long-term success. These concepts are the backbone of technical analysis, guiding traders in making informed decisions about when to enter, exit, and manage risks. By understanding and identifying key support and resistance zones, traders can predict price movements, spot opportunities, and refine their strategies. Incorporating technical analysis into your trading routine will boost your confidence in navigating the market. Whether you’re a beginner or a seasoned trader, honing your skills with support and resistance can lead to more disciplined and profitable trading.
Editors' picks
Education
by FOREXN1
14
How attachment theory impacts trading psychologyUnderstanding how attachment theory impacts trading psychology is a fascinating journey into how our emotional tendencies and interpersonal relationships can subtly (or not so subtly) shape our approach to risk-taking. Attachment theory, which originated in psychology to explain how early life experiences with caregivers affect emotional bonds, has practical implications for traders. 1️⃣ Secure Attachment: Balanced Risk-Taking Traders with a secure attachment style tend to exhibit balanced and confident decision-making in their trading strategies. This attachment style, characterized by trust, a positive view of self, and a comfortable attitude towards both autonomy and intimacy, translates well into the trading world. A securely attached trader is less likely to panic during market downturns or make impulsive decisions during volatile periods. In trading, this mindset allows for a focus on long-term strategies, like trend following or value investing, where trust in the process is vital. A secure attachment is an ideal psychological foundation for traders who need to follow strict risk management rules without being swayed by emotional highs or lows. 2️⃣ Anxious-Preoccupied Attachment: Over-Analyzing and Fear of Missing Out (FOMO) Traders with an anxious-preoccupied attachment style often display behaviors characterized by a constant need for reassurance and fear of loss. These traders may obsess over market movements and frequently check their portfolios for validation. This is the classic profile of a trader who experiences "FOMO" (fear of missing out), often entering trades late and then second-guessing decisions after executing them. This attachment style can lead to over-trading, which increases transaction costs and erodes profitability. Addressing this behavior might require incorporating mindfulness techniques into trading routines or following strict, rules-based systems to limit emotional interference in decision-making. 3️⃣ Dismissive-Avoidant Attachment: Overconfidence and Detachment from Losses Traders with a dismissive-avoidant attachment style might display overconfidence and emotional detachment from their losses. They tend to downplay the significance of risk or emotional strain in their trading. Because this attachment style is associated with independence and a desire to maintain emotional distance, traders may ignore or avoid information that could challenge their views, leading to confirmation bias. This detachment from risk can work both for and against the trader. On the positive side, it can enable traders to handle drawdowns without emotional upheaval. However, it can also lead to stubbornness, where traders hold onto higher drawdowns for too long or fail to adapt to changing market conditions. 4️⃣ Fearful-Avoidant Attachment: Struggling with Consistency A fearful-avoidant attachment style is characterized by a combination of anxiety and avoidance, leading to an erratic approach to trading. These traders may struggle with decision-making, swinging between aggressive trading strategies in moments of confidence and extreme caution when uncertainty arises. Fearful-avoidant traders often lack a consistent approach to risk management, finding themselves either over-leveraging or under-trading due to emotional swings. A potential remedy for this attachment style is the adoption of algorithmic or more mechanical trading systems that remove emotions from the equation. By automating trading decisions based on predefined criteria, traders can avoid the emotional turmoil that typically derails their performance. 5️⃣ Impact of Early Attachment Styles on Risk Aversion One of the core insights from attachment theory is that our early attachment experiences shape how we deal with uncertainty and risk. For traders, this can mean the difference between being able to take calculated risks versus becoming paralyzed by fear. Traders with insecure attachment styles, such as anxious or fearful attachments, might be more risk-averse, leading them to miss out on profitable opportunities or avoid the market altogether during volatile times. Understanding these early influences can help traders identify the root causes of their trading behaviors. Developing self-awareness around attachment styles allows traders to implement more effective coping strategies, such as diversifying portfolios or using risk-adjusted metrics to measure success. 6️⃣ Case Study: Market Behavior During the 2008 Financial Crisis The global financial crisis of 2008 provides an excellent example of how attachment styles can influence trading behavior. During this period, many anxious traders, driven by fear of losses, pulled their money out of the markets, locking in massive losses. Conversely, more secure traders who trusted in their long-term strategies, such as Warren Buffett, remained calm and held onto their investments, eventually profiting when the markets recovered. This case study underscores the importance of understanding one's attachment style. While anxious traders panicked and sold off assets, traders with secure attachment styles exhibited patience and confidence, demonstrating how emotional resilience can lead to better financial outcomes during market stress. 7️⃣ Developing Secure Trading Habits: Overcoming Biases For traders with insecure attachment styles, cultivating secure trading habits is critical. This process includes implementing structured decision-making frameworks, setting up automated alerts, or working with a trading mentor to provide external guidance. Learning to trust in the decision-making process and developing confidence through consistent application of risk management tools can help traders with anxious or avoidant styles manage their emotional reactions. For instance, a fearful-avoidant trader might benefit from implementing a systematic rebalancing approach that forces them to adjust positions based on predefined rules rather than emotional impulses. In this way, the trader creates a buffer against emotional bias, allowing for more consistent performance over time. In conclusion, understanding attachment theory is a powerful tool in the realm of trading psychology. By identifying how attachment styles influence decision-making and risk tolerance, traders can tailor their strategies to overcome emotional biases and improve performance. For many, the key to becoming a better trader lies not only in technical analysis or market knowledge but in deep self-awareness.
Education
by AlexSoro
1
Trading a Single Forex Pair: Choosing the Right One for SuccessNavigating the complexities of forex trading begins with choosing the right currency pair. Each currency pairing represents a unique relationship between two currencies, and mastering the dynamics of a single pair can offer traders a sharper edge. By understanding how a particular pair moves, traders can craft more effective strategies and reduce exposure to unnecessary risks. Understanding Currency Pairs In forex trading, a currency pair represents the value of one currency against another. For example, in the EUR/USD pair, the Euro (EUR) is the base currency, and the US Dollar (USD) is the quote currency. The exchange rate tells traders how much of the quote currency is needed to purchase one unit of the base currency. This core understanding is essential for crafting strategies based on price movement, market news, and economic indicators. Base Currency vs. Quote Currency: The base currency is the first currency listed in the pair and is the one being bought or sold. In EUR/USD, the base currency is EUR. The quote currency is the second currency, showing how much of it is required to buy one unit of the base currency. Types of Currency Pairs -Major Pairs: These are the most traded pairs globally, including the US Dollar (USD) and other major currencies such as the Euro (EUR), Japanese Yen (JPY), and British Pound (GBP). Examples include EUR/USD and USD/JPY. Major pairs are typically more liquid, offering tighter spreads and more predictable price movements. -Minor Pairs: These exclude the USD but involve other major currencies, such as EUR/GBP and GBP/JPY. While still liquid, minor pairs may have slightly wider spreads compared to majors. -Exotic Pairs: These involve a major currency paired with a currency from a smaller or emerging market, such as USD/TRY (US Dollar/Turkish Lira). Exotic pairs tend to be less liquid and more volatile, with wider spreads and higher risk. Key Factors for Choosing a Currency Pair When selecting a currency pair, consider several critical factors to optimize profitability and minimize risk: -Liquidity: High liquidity means you can easily buy or sell a currency without causing large price swings. Pairs like EUR/USD and USD/JPY are highly liquid, resulting in narrower spreads and lower transaction costs. -Volatility: Volatile pairs experience more dramatic price swings. While this can present opportunities for larger gains, it also brings higher risk. Traders should balance their appetite for risk with volatility when selecting a pair. -Market Hours: The forex market operates 24/5, with different trading sessions in various time zones. High liquidity occurs when major sessions, such as London and New York, overlap. Understanding which sessions affect the pair you’re trading helps optimize timing. -Economic Indicators: Macroeconomic data—such as GDP growth, inflation, and employment reports—play a significant role in currency fluctuations. Monitoring these indicators for the currency pairs you trade will help you make informed decisions. -Correlations: Some currency pairs are correlated with other markets, such as commodities or stocks. For instance, the Australian Dollar (AUD) is closely tied to commodity prices, while the Japanese Yen (JPY) is seen as a safe-haven currency. Recognizing these correlations can give you an edge when anticipating price movements. -Spread and Transaction Costs: The spread is the difference between the buy and sell prices. Major pairs like EUR/USD generally have lower spreads, reducing trading costs and improving profitability. Popular Currency Pairs and Their Characteristics -EUR/USD: Known for its high liquidity and stable trading conditions, EUR/USD is the most traded currency pair. Its price movements are influenced by economic data from the Eurozone and the United States, making it a favorite among traders seeking reliable trends. -GBP/USD (Cable): This pair is more volatile than EUR/USD, offering larger price swings, especially during the London session. It is sensitive to UK economic data and geopolitical events like Brexit, making it ideal for traders who prefer volatility. -USD/JPY: This pair is less volatile than others and is influenced by US and Japanese economic data. The Japanese Yen (JPY) is also seen as a safe-haven currency, attracting traders during times of global economic uncertainty. -AUD/USD: The Australian Dollar (AUD) is heavily influenced by commodity prices and economic data from Australia and China. It’s a great option for traders who want to capitalize on global commodity trends. -USD/CHF: The Swiss Franc (CHF) is another safe-haven currency, meaning this pair is often less volatile and attracts traders during periods of global instability. Developing a Strategy for Trading a Single Pair Choosing to trade a single pair allows you to focus and specialize, giving you a deep understanding of the pair’s movements, news impacts, and market conditions. Here's how to develop a successful strategy for trading one currency pair: -Monitor Economic News: For major pairs like EUR/USD, keep a close eye on economic data releases such as interest rates, employment reports, and inflation figures from the Eurozone and the US. News-driven trading strategies often work well with high-liquidity pairs like this. -Leverage Volatility: If you choose a more volatile pair like GBP/USD, focus on breakout strategies or trend-following approaches. These pairs can offer large price swings, but effective risk management is crucial. -Risk Management: Always employ Stop Loss orders to protect your capital, especially with more volatile pairs. Proper position sizing and diversification are also key to managing risk. -Analyze Correlations: If you trade a pair like AUD/USD, understanding its relationship with commodity prices or China's economy can enhance your decision-making process. Conclusion: Focus on One Pair for Mastery For traders looking to specialize, trading a single forex pair can be a strategic advantage. It allows you to concentrate on the nuances of one pair, build expertise, and reduce the risks associated with juggling multiple assets. Whether you choose the highly liquid EUR/USD or the volatile GBP/USD, mastering one pair simplifies decision-making and enhances your ability to react swiftly to market movements. In the world of futures or CFDs, focusing on a major pair like EUR/USD provides access to deep liquidity and tight spreads. With a strong strategy and the discipline to specialize, traders can avoid unnecessary distractions, manage risks more effectively, and enhance long-term success in the dynamic forex market. ✅ Please share your thoughts about this article in the comments section below and HIT LIKE if you appreciate my post. Don't forget to FOLLOW ME; you will help us a lot with this small contribution.
OANDA:XAUUSDEducation
by FOREXN1
5
The Formula That Helped Me Get Into in the Top 2% of TradersI spent years testing different strategies, obsessing over charts, and trying to find the perfect entry point. It took me a while to realize that it wasn’t just about picking the right trades—it was about knowing how much to risk on each trade. This is where the Kelly Criterion came into play and changed my entire approach. You’ve probably heard the saying, “Don’t put all your eggs in one basket.” Well, Kelly Criterion takes that idea and puts some hard math behind it to tell you exactly how much you should risk to maximize your long-term growth. It’s not a guessing game anymore—it’s math, and math doesn’t lie. What is Kelly Criterion? The Kelly Criterion is a formula that helps you figure out the optimal size of your trades based on your past win rate and the average size of your wins compared to your losses. It’s designed to find the perfect balance between being aggressive enough to grow your account but cautious enough to protect it from major drawdowns. F = W - (1 - W) / R F is the fraction of your account you should risk. W is your win rate (how often you win). R is your risk/reward ratio (the average win relative to the average loss). Let’s break it down. How It Works Let’s say you have a strategy that wins 60% of the time (W = 0.6), and your average win is 2x the size of your average loss (R = 2). Plugging those numbers into the formula, you’d get: F = 0.6 - (1 - 0.6) / 2 F = 0.6 - 0.4 / 2 F = 0.6 - 0.2 = 0.4 So, according to Kelly, you should risk 40% of your account on each trade. Now, 40% might seem like a lot, but this is just the theoretical maximum for optimal growth. The thing about using the full Kelly Criterion is that it’s aggressive. A 40% recommended risk allocation, for example, can be intense and lead to significant drawdowns, which is why many traders use half-Kelly, quarter-Kelly or other adjustments to manage risk. It’s a way to tone down the aggressiveness while still using the principle behind the formula. Personally, I don’t just take Kelly at face value—I factor in both the sample size (which affects the confidence level) and my max allowed drawdown when deciding how much risk to take per trade. If the law of large numbers tells us we need a good sample size to align results with expectations, then I want to make sure my risk management accounts for that. Let’s say, for instance, my confidence level is 95% (which is 0.95 in probability terms), and I don’t want to allow my account to draw down more than 10%. We can modify the Kelly Criterion like this: 𝑓 = ( ( 𝑊 − 𝐿 ) / 𝐵 )× confidence level × max allowed drawdown Where: 𝑊 = W is your win probability, 𝐿 = L is your loss probability, and 𝐵 = B is your risk-reward ratio. Let’s run this with actual numbers: Suppose your win probability is 60% (0.6), loss probability is 40% (0.4), and your risk-reward ratio is still 2:1. Using the same approach where the confidence level is 95% and the max allowed drawdown is 10%, the calculation would look like this: This gives us a risk percentage of 0.95% for each trade. So, according to this adjusted Kelly Criterion, based on a 60% win rate and your parameters, you should be risking just under 1% per trade. This shows how adding the confidence level and max drawdown into the mix helps control your risk in a more conservative and tailored way, making the formula much more usable for practical trading instead of over-leveraging. Why It’s Powerful Kelly Criterion gives you a clear, mathematically backed way to avoid overbetting on any single trade, which is a common mistake traders make—especially when they’re chasing losses or getting overconfident after a win streak. When I started applying this formula, I realized I had been risking too much on bad setups and too little on the good ones. I wasn’t optimizing my growth. Once I dialed in my risk based on the Kelly Criterion, I started seeing consistent growth that got me in the top 2% of traders on TradingView leap competition. Kelly in Action The first time I truly saw Kelly in action was during a winning streak. Before I understood this formula, I’d probably have gotten greedy and over-leveraged, risking blowing up my account. But with Kelly, I knew exactly how much to risk each time, so I could confidently scale up while still protecting my downside. Likewise, during losing streaks, Kelly kept me grounded. Instead of trying to "make it back" quickly by betting more, the formula told me to stay consistent and let the odds play out over time. This discipline was key in staying profitable and avoiding big emotional trades. Practical Use for Traders You don’t have to be a math genius to use the Kelly Criterion. It’s about taking control of your risk in a structured way, rather than letting emotions guide your decisions. Whether you’re new to trading or have been in the game for years, this formula can be a game-changer if applied correctly. Final Thoughts At the end of the day, trading isn’t just about making the right calls—it’s about managing your risks wisely. The Kelly Criterion gives you a clear path to do just that. By understanding how much to risk based on your win rate and risk/reward ratio, you’re not just gambling—you’re playing a game with a serious edge. So, whether you’re in a winning streak or facing some tough losses, keep your cool. Let the Kelly formula take care of your risk calculation. If you haven’t started using the Kelly Criterion yet, now’s the time to dive in. Calculate your win rate, figure out your risk/reward ratio, and start applying it. You’ll protect your account while setting yourself up for long-term profitability. Trust me, this is the kind of math that can change the game for you. Bonus: Custom Kelly Criterion Function in Pine Script If you’re ready to take your trading to the next level, here’s a little bonus for you! I’ve put together a custom Pine Script function that calculates the optimal risk percentage based on the Kelly Criterion. You can easily enter the variables to fit your trading strategy. // @description Calculates the optimal risk percentage using the Kelly Criterion. // @function kellyCriterion: Computes the risk per trade based on win rate, loss rate, average win/loss, confidence level, and maximum drawdown. // @param winRate (float) The probability of winning trades (0-1). // @param lossRate (float) The probability of losing trades (0-1). // @param avgWin (float) The average win size in risk units. // @param avgLoss (float) The average loss size in risk units. // @param confidenceLevel (float) Desired confidence level (0-1). // @param maxDrawdown (float) Maximum allowed drawdown (0-1). // @returns (float) The calculated risk percentage for each trade. kellyCriterion(winRate, lossRate, avgWin, avgLoss, confidenceLevel, maxDrawdown) => // Calculate Kelly Fraction: Theoretical fraction of the bankroll to risk kellyFraction = (winRate - lossRate) / (avgWin / avgLoss) // Adjust the risk based on confidence level and maximum drawdown adjustedRisk = (kellyFraction * confidenceLevel * maxDrawdown) // Return the adjusted risk percentage adjustedRisk Use this function to implement the Kelly Criterion directly into your trading setup. Adjust the inputs to see how your risk percentage changes based on your trading performance!
Editors' picks
COINBASE:BTCUSDEducation
by Fractalyst
9
A Simple and Effective Strategy to Outsmart Liquidity HuntingHave you ever encountered a scenario where the price hits your Stop Loss level first, only to then fully reverse and head in the direction of your target profit, ultimately reaching it? If the answer is yes, you’ve most likely fallen victim to what is commonly referred to as a 'liquidity grab'. In other terms, this phenomenon is known as 'stop-loss hunting', and it is an inescapable occurrence within the realm of trading. But why does it happen? The answer lies in the actions of big market players, such as banks and institutions, who need to fill their large positions. Simply put, for markets to function properly, there must be equilibrium - an equal number of buyers and sellers, a balance between supply and demand. For every buy-back and sell-off you conduct, there must be an opposing party willing to execute the trade with you. This is where brokers come into play, linking both sides of the transaction. When there is an imbalance between buyers and sellers, it leads to market inefficiency, which can result in excess supply or demand, distorting price movements. Market makers help prevent this by ensuring market stability and securing better pricing for executing large orders.
 For example, imagine you have analysed the sentiment and opened a SELL trade on USD/CHF at a key level, placing your Stop Loss just above the same zone. After some time, you notice the price impulsively moves towards your Stop Loss, triggering it and taking you out of the trade. Later, you watch the price flip and move in the direction you had originally predicted. Frustrated, you begin to blame the market, convinced it’s rigged against you. However, what really happened is that the price was pushed into an obvious pool of Stop Losses, allowing the positions you and many others sold to be bought back. This also enabled large institutional orders to be filled at better prices, while maintaining balance between buy and sell orders. How do you avoid this? The key is to better understand market dynamics and make more informed decisions. In this scenario, a smarter approach would have been to place your entry where the obvious pool of Stop Losses is located. By doing so, you could have captured a more favourable risk-to-reward ratio, perhaps achieving a 1:3 trade, as illustrated in the accompanying chart. So next time, before rushing into a trade, take a step back. Assess the situation with greater patience and clarity. Often, there’s an initial push, just as the price action indicates. This move entices traders into premature entries. Afterward, a sudden liquidity grab occurs, wiping out these traders before the market reverses in the anticipated direction. Be patient. Play it smart. Best wishes, Investroy
Education
by Investroy
Dangerous Lies Your Backtest TellsDangerous Lies Your Backtest Tells We are easily hooked on the dopamine rush of seeing profitable equity curves during backtesting. The allure of parabolic returns is often so strong it is blinding to the inherent flaws that exist, to varying degrees, in every backtest. Backtesting, while often seen as an essential step in designing and verifying trading strategies - is far from a foolproof method. Many traders place too much confidence in their backtested results, only to see their strategies fail when used in the live markets. The reality is that backtesting is riddled with limitations and biases that lead to a false sense of security in a strategy’s effectiveness. Let’s take a comprehensive look into the many flaws of backtesting, and explore the common pitfalls of using a simple back test as your only method of verifying a strategy's efficacy. 1. Choosing the Winning Team After the Game is Already Over (Selection Bias) When selecting which instruments for backtesting, it is common to choose assets you are already interested in or those that performed well in the past. This introduces selection bias, as the strategy is tested on assets that may have been outliers. While this may produce impressive backtest results, it creates an illusion of reliability that may not hold up when applied to other assets or future market conditions - a theme that will be common for most of the explored backtesting drawbacks. Example: Imagine backtesting a Long only strategy using only tech stocks that surged during a market boom. The strategy might look incredibly successful in the backtest, but when applied to other sectors or different market phases it will most likely fail to perform - because the selection was based on past winners rather than a broader, more balanced approach. 2. You Only See the Ships that Make it to Shore (Survivorship Bias) Similar to the above, survivorship bias occurs when backtests only include assets that have survived of the test period - excluding those that were delisted, went bankrupt, or failed entirely. This creates a skewed dataset, inflating performance metrics beyond reasonable levels once again. By only focusing on assets that are still around, you overlook the fact that many others didn’t make it - and these failures could have significantly impacted the strategy’s results. By ignoring delisted companies, or rug-pulled crypto projects, you inherently induce a selection bias - as purely because your chosen instruments didn’t go to zero they must have performed better. Example: Suppose you backtest a low-cap cryptocurrency strategy. If your backtest spans for, say, five years the test can give the illusion of success - but what’s missing is the hundreds of tokens that were launched and failed during the same period. How can we possibly assume that we will be lucky enough to only pick tokens that survive the next five years? 3. Reading Tomorrow’s News Today (Look-Ahead Bias) Look ahead bias occurs when future information is unintentionally used in past decision making during a backtest. This can often occur due to coding errors in an automated system which leads to unreasonable and unrepeatable results. Look-ahead bias isn’t limited to algorithmic backtesting - it can also affect manual backtests. Traders will often miss false signals because they can already see the outcome of the trade. This knowledge of the future can affect the accuracy of a manual backtest - both as a conscious decision by the trader but also subconsciously. if Current_Price < Tomorrows_Close strategy.entry("Enter a Long Position", strategy.long) // An extreme example 4. Perfecting the Final Chord, but Forgetting the Song (Recency Bias) Recency bias occurs when traders place too much emphasis on the most recent data or market conditions in a backtest. This usually occurs when a trader feels they missed an opportunity in the past few months - and tries to develop a strategy that would have captured that specific move. By focusing too heavily on recent history, it is easy to neglect the fact that markets usually move in long cyclical phases. This over optimisation for recent conditions will, at best, result in a strategy that performs well in the short term but fails as soon as market dynamics shift. Example Frustrated by missing the most recent leg of the bull market, a trader develops a strategy that would have perfectly performed during this period. However, when the trader begins live trading at the top of the market, the strategy quickly fails. It was only optimized for that short and specific market phase and was unable to adapt to the changing market conditions. 5. Forcing the Square into the Round Hole (Overfitting) Overfitting occurs when a strategy is excessively optimized for historical data, capturing noise and random fluctuations rather than meaningful patterns. Overfitting is common when traders test too many parameter combinations, tweaking their strategy until it fits the past data perfectly. In contrast to the previous point, this over optimisation can occur on data of any length, whether years or even longer periods. Example Adjusting a large range of parameters in a high frequency strategy by incredibly small increments and deciding to use the calibrations that yield the highest performance. 6. Mixing Oil and Water (Conflating Trend and Mean Reversion Systems) Traders often attempt to design strategies that perform well in both trending and mean reverting environments, which leads to muddled logic and poor performance in ALL environments. A trend following strategy is meant to capitalize on sustained price movements, and should naturally underperform during mean-reverting or ‘ranging’ periods. In a range-bound market, a trend-following strategy will often buy near the top of the range after detecting strength, only for the price to reverse. Conversely, a mean reversion strategy is built to profit from oscillations around a stable point and forcing both approaches into a single system results in unrealistic backtest performance and poor real-world results. One of the common mistakes is when a trend following strategy ‘accidently’ performs well during mean-reverting periods. This skews the backtest metrics because any gains during non-trending markets are multiplied significantly during actual trends. As a result, the backtest shows artificially positive performance - but the strategy quickly falls apart in live trading. Normally, a trend following strategy would incur losses during a range-bound market and only begin to recover once a new trend emerges. However, if a strategy is overfit to handle both the trend and mean reversion periods of the past, it doesn’t need to recover losses and instead compounds gains during the entire trend. This creates inflated backtest results that won’t hold up in real trading. Example: A trader develops a trend following system that, through over-optimization, performs surprisingly well during mean-reversion phases. In the backtest, the strategy shows strong returns, even in ranging markets. However, in live trading, the system fails, leaving the trader with poor performance. Instead, the trader should have accepted ‘lower’ returns from a strategy that wasn’t overfit - because in live markets robust strategies with mediocre backtests perform better than overfit strategies that only excel in backtesting. 7. Seeing the World Through a Keyhole (Limited Data Skewed by Outliers) Strategies built on assets with limited data are highly susceptible to skew results, especially when outliers dominate the dataset. Without sufficient data, it becomes nearly impossible to assess whether a strategy can consistently perform into the future. Some strategies, like trend following, are designed to capture outliers, that is, the periods of performance above the norm. The issue arises when testing on a small sample as it’s difficult to determine if the strategy can consistently capture trends or just got lucky. Example: A trader develops a trend following strategy for a cryptocurrency that has recently launched. The backtest shows massive gains, as it is common for projects to make large returns as soon as they are listed. However without enough data history, it is impossible to assess the actual effectiveness of this strategy, as its performance metrics are positively skewed by the ‘listing pump.’ The image shows a cryptocurrency project launched in October 2020. At first glance, the EMA Crossover strategy appears profitable, but a closer look reveals that most of the profit comes from the first trade, which is considered an outlier. If that trade was removed, the strategy as a whole would become unprofitable. Following this strategy is essentially betting on the project to experience another sharp rise similar to what occurred in 2020. While technically this isn’t impossible, it is much riskier - a more proven and verified strategy would increase your probability of success. 8. Designing a Car that Doesn’t Fit on the Road (Execution Constraints and Positions Sizing) In backtesting, real world constraints such as minimum or maximum order sizes are often ignored, leading to unrealistic trade execution. Traders may find that they either don’t have enough capital to satisfy the minimum order size - either immediately or after a small drawdown. Additionally, compounded returns on a backtest can lead to absurd positions sizes that could never be bought or sold in the real market. This particularly is more problematic for deep backtestests. Example: A backtest shows spectacular growth, with the account size ballooning overtime and resulting in an extremely high profit percentage. However, in real-word conditions, the required position size to continue executing the strategy becomes so large that it exceeds the liquidity of the market - making it impossible to receive comparable profit percentages on real world trading. 9. Death by a Thousand Paper Cuts (Not Accounting for Fees, Commissions and Slippage) When performing a backtest, traders often overlook critical transaction costs such as fees, slippages and spreads. These seemingly small costs can accumulate and significantly erode profits, especially strategies that rely on frequent trades with a low average return per trade. Slippage also should include execution slippage - the time delay between receiving a signal from a system, placing an order and its execution. This is particularly problematic for lower timeframe trading where even minor delays can drastically swing a strategy from profitable to unprofitable Example: A day trader runs a backtest on a scalping strategy and sees parabolic returns. However in live trading, the small profits from each trade are wiped out by broker commissions, spreads and the slippage that occurs from both position sizing, and when trades are executed slightly later than expected. This strategy, while successful in the backtest, failed to account for the ‘death by a thousand paper cuts.’ 10. Filling Half of the Grocery Cart (Partial Order Fills) In low liquidity environments, or when trading large position sizes, partial order fills are common - meaning traders only get a portion of their order executed at their desired price. This can significantly impact returns. Backtests will usually assume complete fills at the exact target price. However, in reality a trader experiencing a partial order fill must decide whether to complete the position at a worse price or leave a portion of the target position size out of the market. Both choices will lead to results that are not comparable to the backtested results. Example: A trader places a limit order to buy 100 shares of a low-liquidity stock at a price of $10. The order is only partially filled, with 60 shares bought at $10, while the remaining 40 shares require the new, higher price. The trader now faces the choice of paying more, or leaving part of the trade out. This is a major deviation from the backtest, which assumed the complete position was bought at $10. 11. Betting on Lightning Striking Twice (Black Swan Events) Black swan events are rare, inherently unpredictable, and have a significant impact on financial markets. Strategies designed to avoid drawdowns during these events are at risk of being overfit. Traders often fall into the trap of building systems that avoid drawdowns during past black swan events - overfitting their strategies to these rare occurrences. These strategies are unlikely to succeed in regular market conditions and contain no extra edge in protecting a trader from future black swans events. Example: After the FTX collapse caused a sharp drop in crypto prices, a trader chooses to develop a swing trading strategy designed to avoid all losses during this event. However, by optimizing the strategy to exit positions before the collapse, the trader unintentionally overfits it. As a result, the strategy begins to sell off positions too early in other situations, cutting profits short. Prior to the FTX collapse, the market was still in an uptrend, and there were no clear signs of an impending downturn - so attempting to optimize for such a rare event ends up compromising the strategy’s performance in more typical market conditions. 12. Expecting a Weeks Pay After Only Working One Shift (Time of Day and Day of Week Restrictions) Many traders are only able to trade during specific hours or days of the week, yet their backtests often include data from periods where they are unavailable - such as overnight sessions. This creates an unrealistic expectation of returns. For example, in markets like crypto that trade 24/7, backtesting a day trading strategy on the full market period gives a false impression of potential profits if you can only trade during certain hours. Additionally, market participants also differ depending on the time of day, as entire countries wake up and go to sleep at different times of day. One could make the assumption that human behavior as a whole might be the same, but the number of participants and liquidity will definitely change. Example: A day trader backtests a strategy using 24/7 crypto market data - but is only able to trade on weekday afternoons due to other commitments. 13. Siphoning Gas from a Moving Car (Capital Drain and Addition) Backtests frequently assume infinite compounding, where no capital is ever added or withdrawn from the trading account. In practice, however, traders will regularly add or remove funds - which significantly impacts the performance of a strategy. For instance, withdrawing money during a drawdown forces the strategy to work harder to recover losses, as it now requires higher returns to break even. Similarly, adding capital can skew results by altering position sizing. While it is necessary to manage capital in this way, backtests usually don’t account for these changes and once again, leads to results that are not repeated in practice. Example: A trader consistently pulls a portion of profits from their account each month. In the backtest, no withdrawals are considered, and the strategy appears highly profitable. However, in live trading these regular withdrawals put pressure on the account, and especially over longer periods of time, this reduced level of compound will lead to significant underperformance relative to the backtest due to the reduced compounding effect on returns. 14. Your Subscription Service Increase Price Without You Realizing (Interest Rates and Funding Costs) The ‘cost of capital’ - such as leverage costs, interest rate and funding fees - can fluctuate over time, but backtests often overlook these dynamic costs or even fail to account for them altogether. In live markets, these changes can significantly erode profit margins. Not considering these costs, especially the factors affecting their variability, can easily turn a profitable backtest into an unprofitable strategy in live trading. Example: A trader backtests a strategy for use in cryptocurrency perpetual futures. The strategy is designed for bull markets but fails to account for the rising funding rates frequently seen during periods of high demand. As the cost to maintain an open position skyrockets, the trader’s profit margins quickly shrink, making the strategy far less viable than the backtest indicated. This is particularly dangerous because as the funding fees erode the position’s margin, the liquidation price rises faster than expected, potentially resulting in the entire position being liquidated - even though the trade appeared profitable on paper. 15. You Can’t Ride the Wave Past the Shore (Alpha Decay) In highly competitive markets, especially in high-frequency trading, the edge of a strategy (alpha) can erode over time as more participants exploit similar inefficiencies. This gradual loss of profitability - known as alpha decay - often isn’t captured in backtesting, which assumes static market conditions. Alpha decay is particularly relevant in high-frequency trading, where competition and frontrunning are more intense, while it tends to be less of an issue in higher time-frame swing trading. 16. Playing Chess Against Yourself and Expecting to Win Every Time (Psychological Factors) Psychological biases still affect fully systematic traders. The assumption that traders will follow their strategy without hesitation or emotional interference rarely holds true in live trading, especially during periods of drawdown or high volatility. Manual and automated traders alike feel the same compulsion after experiencing drawdown. The temptation to tweak or abandon a strategy during this period is strong and often leads to the worst decision. It is well documented anecdotally that many traders find that after modifying a ‘losing’ strategy, the new version performs worse than the original, as it has been adjusted to avoid the losses of the past and misses future gains by virtue of overfitting. Example: An algorithmic trader watches as their automated strategy experiences a significant drawdown. Panicking, the trader tweaks the parameters in order to avoid further losses. Shortly after, the original strategy would have recovered, but the modified version continues to struggle as the adjustments were made in reaction to short term losses instead of accounting for long term performance. Final Note: Congratulations if you made it this far! This might not be the most exciting topic, but it’s essential knowledge for every trader and investor. This article was written to warn you of the dangers of relying on backtests - and provides a checklist of common pitfalls to watch out for. Whether you’re running your own backtest or reviewing someone else’s, it’s critical to look beyond the shiny numbers and assess the real-world viability. What looks great on paper may not hold up in the real world. Best of luck in the markets - but remember: stay prudent, and you’ll make your own luck!
INDEX:BTCUSDEducation
by QuantraSystems
4
Technical Analysis is NOT What the Majority Thinks It Is One of my favourite activities during my free time is sitting on the sofa and finding analyses on TradingView that resemble the one portrayed on the left-hand side of the illustration. My goal is to try deciphering what a given author is trying to convey to us, the audience. As you know, the more noise there is on the charts, the blurrier the picture becomes. The blurrier the picture, the more there is room for curiosity and discovery. Over the years, I’ve become more convinced that less is more and that you don’t need to clutter your charts with an abundance of instruments while conducting a technical orchestration. In fact, most people have false expectations regarding how proper technical analysis should be conducted. Many think TA is all about lines and boxes when, in reality, it’s about understanding price behaviour and making educated guesses with pre-calculated risk. Therefore, the aim of this brief educational article is to contrast two types of traders – let’s call them Average Joe and Experienced Joe – and provide professional insights into how technical analysis really functions and should be practiced. Let’s start by scrutinising the scenario on the left. The author has identified some critical regions, drawn a few lines, and highlighted a Fibonacci retracement level of importance. Then, they sketched a game plan using arrows to indicate how the price might behave next. What’s wrong with this approach? In short, everything. The longer answer: there’s a lack of necessary technical interpretation combined with unnecessary efforts. Although some analytical tools are present, they don’t offer any depth in terms of what the price behaviour might be orchestrating. Nor do most of these instruments serve any purpose when applied in a scattered manner. Now, let’s analyse what Experienced Joe – the trader behind the right-hand side of the screen – has put together. He has identified key regions and utilised a few tools for mapping purposes. However, his primary focus is understanding price behaviour by interpreting movements on the weekly-timeframe chart. Since he has traded the same handful of financial securities for years, he is experienced in reading charts like a book and grasping the logic behind price action. After understanding what’s unfolding, the trader finalises his game plan and executes positions. Comparing the two traders, we can see a significant difference between using technical instruments in abundance without comprehension, and using them in moderation with the real goal of understanding price behaviour.
With that said, here is a 3-step guide on how to properly utilise technical analysis when studying a financial instrument and entering trade positions: Step #1 - Read the chart like a book. Where is the price potentially headed? What has been happening recently? What economic event caused the massive candle spike? Does it look like the price is correcting a recent impulse? Take a glance at the graph and try to understand the overall situation. Step #2 - Highlight key zones and sketch a game plan. This is a crucial level that the price has respected for a significant amount of time.
Here, the price printed a liquidity grab, so I’ll mark that.
The price is forming a reversal bottom, so I’m preparing to go long from here.
The 0.84 region looks like a solid initial target. Sketch a preliminary game plan based on your analysis and focus on execution. Step #3 - Execute a trade position at pre-calculated risk (usually, 1-2%). Set your entry. Place your Stop Loss. Execute the trade. In conclusion, technical analysis is not just about drawing some lines and shapes. It’s time to change the stereotype and emphasise the real utility of technical analysis. After all, trading without trying to understand price dynamics—especially if you are a technical trader—is like blindly memorising driving rules without understanding their purpose. Of course, there’s no secret recipe that works 100% of the time, including technical analysis. However, by sticking to a consistent approach and being patient, we can aim toward achieving long-term profitability.
CRYPTO:BTCUSDEducation
by Investroy
Cryptocurrency Trading Starter GuidePART 1 INTRODUCTION What are Cryptocurrencies? Cryptocurrencies are based on the fundamental idea of being decentralized digital money, created for use on the Internet. Bitcoin, introduced in 2008, was the pioneer in this field and remains the largest, most influential, and well-known of all. Since then, in just over a decade, Bitcoin and other cryptocurrencies like Ethereum have emerged as digital alternatives to government-issued money. The most popular cryptocurrencies by market capitalization include Bitcoin, Ethereum, Tether (a stablecoin), and Solana. There are also others like Doge, Toncoin (from Telegram), and Chainlink, which are quite well-known. Some of these cryptocurrencies function similarly to Bitcoin, while others are based on different technologies or have additional features that allow them to do more than just transfer value. Cryptocurrencies enable the transfer of value over the Internet without requiring the involvement of intermediaries like banks or payment processors. This facilitates nearly instant value transfers worldwide, at any time of the day, seven days a week, and with very low costs. Most cryptocurrencies are not issued or controlled by governments or central entities. Instead, they are managed by peer-to-peer computer networks that operate using free and open-source software, allowing virtually anyone who wants to participate to do so. If there’s no bank or government involved, how is the security of cryptocurrencies ensured? Security is achieved through a technology known as blockchain. A cryptocurrency's blockchain is similar to a bank’s ledger or balance sheet. Each cryptocurrency has its own blockchain, which serves as a record where all transactions made with that currency are verified and continuously updated. Why are Cryptocurrencies Considered the Future of Finance? Cryptocurrencies are the first real alternative that challenges the traditional banking system, offering notable advantages that position them above traditional payment methods and existing forms of investment. They can be seen as "Money 2.0," a new type of cash born on the Internet, giving them the potential to become the fastest, most accessible, economical, secure, and global means of exchanging value the world has ever seen. Cryptocurrencies can be used to purchase goods and services or as an investment option. Unlike traditional currencies, they cannot be manipulated by a central authority since no such entity exists. Regardless of what happens with a government, your cryptocurrencies will remain protected and secure. Digital currencies provide equal access, regardless of a person's country of origin or residence. As long as you have a smartphone or a device with an Internet connection, you can access cryptocurrencies just like anyone else. Cryptocurrencies offer unique opportunities to expand people's economic freedom worldwide. Without physical borders, digital currencies facilitate free trade, even in countries where the government strictly controls its citizens' finances. In regions where inflation is a significant challenge, cryptocurrencies can serve as a viable alternative to unstable fiat currencies for saving or making transactions. Why Invest in Cryptocurrencies? You can buy both small and large amounts of cryptocurrencies since it’s possible to purchase fractions of them. For example, you can buy Bitcoin with any amount, such as $1, $25, or $50. Unlike stocks or bonds, cryptocurrencies can be easily transferred to anyone or used to pay for goods and services in just seconds or minutes. Millions of people include Bitcoin and other digital currencies in their investment portfolios. Creating a secure account only takes a few minutes, and you can buy cryptocurrencies using a debit card or through a bank account. Cryptocurrencies' high volatility means their prices can change abruptly, providing traders with the opportunity to take advantage of these price movements to make profits. 24/7 Market: Unlike traditional stock markets, cryptocurrency markets are always open, allowing traders to operate at any time of the day or night. What is a Stablecoin? Examples of Stablecoins: USDC (USD Coin) USDT (USD Tether) PYUSD (PayPal's Stablecoin) DAI USDD These are examples of price-stable cryptocurrencies known as stablecoins. You can think of these assets as "crypto dollars" because they are designed to reduce volatility and increase reliability. Stablecoins combine some of the best advantages of traditional cryptocurrencies, such as seamless global transactions, security, and privacy, with the valuable stability offered by fiat currencies. These cryptocurrencies achieve this by linking their value to an external element, typically a fiat currency like the US dollar, a tangible asset such as gold, or the Euro. This makes their value less likely to experience drastic fluctuations from one day to the next. This stability can improve their usefulness as a currency for daily transactions, as both buyers and merchants can trust that the value of transactions will remain relatively constant over more extended periods. Additionally, they can serve as a safe and consistent way to save money, similar to a traditional savings account. Part 2 will be published tomorrow I hope this is valuable to you! If you liked it, please support me with a like! If you want to learn more, follow me! If you didn’t like it, I welcome any criticism or comments!
Education
by Crypto_girl028
Pros and Cons of Forex Trading with Robots Hey traders, Forex trading robots (EA) are commonly perceived as a sort of magic button. Once it is clicked, the system starts trading automagically, generating consistent profits. What can be better? However, many pitfalls are hidden behind its simplicity. In this educational article, we will discuss the advantages and disadvantages / pros and cons of trading with Expert Advisers (EA) / robots. Advantages of Forex Trading Robots Let's start with the positives ➕: 1. The first major advantage of EA is the fact that it works 24/7 , without delays and coffee breaks. Once it is launched, it will keep working till you stop it. 2. The second advantage of EA is that it is non-emotional and objective . It strictly follows the algorithm and rules determined by a program. It is not influenced by psychological biases, making each trade extremely precise. 3. The third strength of trading robots is the processing speed and its limitless scalability . EA can monitor dozens of trading instruments on multiple time frames simultaneously, not missing any bit of information. Hence, it requires less time for decision-making and trade execution. 4. The fourth advantage of EA is the simplicity of its backtesting . Once the algorithm is written and the order of execution rules are described, it can be quickly and easily tested on a historical data. Disadvantages of Forex Trading Robots So far, sounds like a panacea, right?! But now, let's discuss the negatives ➖: 1. Similar to any software, app or program, the EA is vulnerable to bugs, and may occasionally lag . Therefore, it requires a constant oversight and maintenance . In order to fix the bugs and maintain that, a high level of experience is required . One should have the advanced skills both in coding and in trading. 2. Moreover, admitting the fact that the market is constantly changing and evolving, one should regularly update the EA and adapt it. In comparison to humans, trading robots are not learning, they do not evolve, update themselves. 3. Leaving the robot without supervision, updates and patches, it may blow the entire account in a glimpse of an eye without any embarrassment. 4. One more important thing to add about EA, is the fact that it is technical analysis based . For now, there are no solutions on the market that would allow the integration of fundamentals in the algorithm. Unfortunately, most of the traders overestimate the strengths of trading robots, completely neglecting its obvious weaknesses. If you decide to apply EA in Forex trading, always consider its pros and cons that we discuss in the post.
OANDA:XAUUSDEducation
by VasilyTrader
1