Trading With the Three Drives PatternHarmonic patterns are known for their ability to provide effective trade setups. The Three Drives pattern is no different, and in this FXOpen article, we’ll delve into what this pattern is, how to identify it, and explore some of the best strategies for trading it.
Introduction to the Three Drives
The Three Drives pattern, sometimes referred to as the 3 Drives pattern, is a technical analysis tool used to identify potential reversal points in price movements. Traders look for three consecutive, symmetrical bullish or bearish legs, known as drives, with the third point marking the completion of the formation.
The Three Drives is classified as a harmonic pattern and is closely related to the ABCD pattern. However, whereas the ABCD is made up of two legs and one pullback, the Three Drives consists of three legs and two pullbacks.
As a result, it can be slightly trickier to find than the regular ABCD chart formation. Still, many traders consider it to have a higher degree of accuracy when predicting trend reversals, so it’s worth learning how to recognise this pattern.
Identifying the Three Drives
At its most basic, the pattern is identified by a series of higher highs and higher lows (bearish) or lower highs and lower lows (bullish). Specifically, it features three consecutive, symmetrical drives and two retracements. The drives are typically marked 1, 2, and 3, and the retracements are noted as A and B.
Like other harmonic patterns, the Three Drives is confirmed using Fibonacci ratios. Thankfully, its rules are fairly simple. They are:
- A retraces drive 1 by 61.8% or 78.6%
- B retraces drive 2 by 61.8% or 78.6%
- Drive 2 is a 127.2% to 161.8% extension of retracement A
- Drive 3 is a 127.2% to 161.8% extension of retracement B
Additionally, for best results, the pattern calls for the time each drive takes to form to be roughly the same. This also applies to the corrective phases.
As with many harmonics, being flexible with the rules may help you distinguish more opportunities. Often, the Three Drives will work without perfect symmetry or the ratios lining up exactly. That’s not to say you shouldn’t aim for it to meet the rules as precisely as possible, but you can allow a bit of leeway if the overall formation looks correct.
If you want to try your hand at finding the Three Drives, you can use the TickTrader platform. It’s free to use, and you’ll find built-in Three Drives and Fibonacci retracement tools that’ll help you plot the formation, just like we’ve used in the bearish Three Drives forex example above.
Using the Three Drives Pattern for Trading
Once you have identified the pattern, it’s time to put it into action. Note that these steps don’t just apply to forex trading; you can use them with whatever asset you prefer to trade.
Entries
You have two options for making an entry here: with a market order or a limit order. Some traders set a limit order at the 127.2% or 161.8% extension of B, where the third drive is expected to begin reversing. However, while this strategy may result in pinpoint entries, it also makes setting stop losses difficult, as you’re entering before the price has started to reverse.
Waiting for price action confirmation might make setting stops much easier but can result in a worse risk/reward ratio. You could try waiting for signs of reversal with candlestick patterns like shooting stars, hammers, or engulfing candles before entering with a market order.
Stop Loss
If you choose to wait for confirmation, you can just set your stop above the highest point for a bearish Three Drives or beneath the lowest point for a bullish setup.
If you’re using a limit order at 161.8%, you could try setting a stop beyond the 170% or 175% extension of B, which would invalidate the setup. You could do something similar if entering at 127.2%.
Take Profits
Your profit target here is quite flexible. You could choose to exit at a specific risk/reward ratio, like 1:2 or 1:3. Some look to take profit at the 61.8% retracement of the whole pattern, i.e., using the Fibonacci retracement tool from the start of the first drive and the end of the third drive.
Alternatively, you could also use the Fibonacci extension tool to find the 127.2% or 161.8% extensions of the entire formation and set a profit target at either level.
Bullish Example
Here, we can see the roughly symmetrical 3 Drives pattern in the forex market that prompted a significant reversal. Following the massive engulfing candle, a market order would’ve gotten traders into a decent trade.
Bearish Example
In this example, we see a much larger pattern. While the final drive ended up slightly beyond the 161.8% area, the symmetry and almost perfect retracements to the 61.8% levels indicate that the pattern was likely to play out as expected. Traders could’ve entered at the projected 161.8% extension of the second retracement with a stop above the 170% level to secure an excellent risk/reward ratio.
Your Next Steps
By now, you should have an understanding of the Three Drives pattern and how to recognise it. If you’re wondering what to do next, you can try following these steps:
1. Practice identifying the formation on historical charts. You can use TickTrader to help with this.
2. Once you become more familiar with the pattern, start formulating a strategy. You could try backtesting a few setups to see how well your system works.
3. You can open an FXOpen account and test your strategy in live markets to refine your approach.
4. Read up on related topics, like harmonic patterns and Fibonacci retracements, to expand your knowledge.
These four steps may put you in good stead when it comes to trading the Three Drives chart formation for real. Happy trading!
This article represents the opinion of the Companies operating under the FXOpen brand only. It is not to be construed as an offer, solicitation, or recommendation with respect to products and services provided by the Companies operating under the FXOpen brand, nor is it to be considered financial advice.
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STOP Impulse Trading at once – 5 Actions to takeOne of the most dangerous traits a trader can adopt is…
Impulse Trading.
This is where they take trades mainly on emotions and gut rather than sound financial analysis.
This means, more risk, more irrational choices and that can lead to steering away from what works.
Your proven trading strategy!
And the end result, you’ll lose in the long term and end up with less confidence for your future endeavours as a trader.
So let’s come up with certain ways for you to STOP the impulse trading.
ACTION #1: Give it an hour
When you feel the urge to make a trade based on emotions, it can be helpful to step back and take a break.
One great way is to wait for an hour before you make any decisions.
Go get something to eat, grab a beer, go walk your crocodile or go do something other than trading.
Close your computer if you feel you’re about to impulse trade.
This break can help you regain a sense of perspective and avoid making impulsive decisions that you may later regret.
ACTION #2: Remember your long term goal
I always say…
Financial trading is a long-term game.
You need to have a clear and specific long-term goal in mind that guides your decisions.
When you feel the urge to make an impulsive trade, take a moment remember your trading record, journal and what works.
Also, remember it’s not about the one trade but the hundreds of trades later…
Ask yourself whether this trade aligns with your overall strategy or whether it’s just a momentary impulse.
This can help you stay focused and disciplined in your trading.
ACTION #3: Revisit your journal
Your journal is pretty much your game-plan.
It foretells of the most probable outcome when you follow it.
And it should include a record of all your trades, your thoughts and feelings at the time of the trade, and the results of the trade.
When you feel the urge to make an impulsive trade, take some time to revisit your journal.
Look at your past trades and the results they produced.
My favourite…
Go look at your drawdowns. Go look at your biggest drawdowns.
Then go see how you came out of the drawdowns and your portfolio headed to NEW all time highs.
There is no better feeling than that. Do this and I doubt you’ll want to take any impulse trades again.
ACTION #4: Read more trading psychology
Mind is everything with trading.
It’s a great way to develop your discipline and avoid impulse trading. Either go read trading books, articles, watch YouTubes or just save this article.
I can almost guarantee… If you read this article, when you feel like taking an impulse trade – You will stop that primitive way of thinking.
You’ll stop that inner conscience from trying to ruin your trading performance.
ACTION #5: Avoid Overtrading
If you find you take MANY trades at a time…
You’ll be more inclined of taking impulse trades, because you feel you need to take more.
Try and have a cap when it comes to the number of trades you hold.
I used to never hold more than 5 trades.
But over time, with adopting into new markets and evolved markets – that number gone up.
Now I make sure I never have more than 12 trades opened at any one time.
Remember to give yourself time to reflect, keep your long-term goals in mind, revisit your journal, and read more about trading psychology.
Let’s bring back the 5 actions to avoid taking any impulse trades.
ACTION #1: Give it an hour
ACTION #2: Remember your long term goal
ACTION #3: Revisit your journal
ACTION #4: Read more trading psychology
ACTION #5: Avoid Overtrading
Let me know if this was useful in the comments.
Algorithmic vs. Manual Trading - Which Strategy Reigns SupremeIntro:
In the dynamic world of financial markets, trading strategies have evolved significantly over the years. With advancements in technology and the rise of artificial intelligence (AI), algorithmic trading, also known as algo trading, has gained immense popularity. Algo trading utilizes complex algorithms and automated systems to execute trades swiftly and efficiently, offering numerous advantages over traditional manual trading approaches.
In this article, we will explore the advantages and disadvantages of algo trading compared to manual trading, providing a comprehensive overview of both approaches. We will delve into the speed, efficiency, emotion-free decision making, consistency, scalability, accuracy, backtesting capabilities, risk management, and diversification offered by algo trading. Additionally, we will discuss the flexibility, adaptability, intuition, experience, emotional intelligence, and creative thinking that manual trading brings to the table.
Advantages of Algo trading:
Speed and Efficiency:
One of the primary advantages of algo trading is its remarkable speed and efficiency. With algorithms executing trades in milliseconds, algo trading eliminates the delays associated with manual trading. This speed advantage enables traders to capitalize on fleeting market opportunities and capture price discrepancies that would otherwise be missed. By swiftly responding to market changes, algo trading ensures that traders can enter and exit positions at optimal prices.
Emotion-Free Decision Making: Humans are prone to emotional biases, which can cloud judgment and lead to irrational investment decisions. Algo trading removes these emotional biases by relying on pre-programmed rules and algorithms. The algorithms make decisions based on logical parameters, objective analysis, and historical data, eliminating the influence of fear, greed, or other human emotions. As a result, algo trading enables more disciplined and objective decision-making, ultimately leading to better trading outcomes.
Consistency: Consistency is a crucial factor in trading success. Algo trading provides the advantage of maintaining a consistent trading approach over time. The algorithms follow a set of predefined rules consistently, ensuring that trades are executed in a standardized manner. This consistency helps traders avoid impulsive decisions or deviations from the original trading strategy, leading to a more disciplined approach to investing.
Enhanced Scalability: Traditional manual trading has limitations when it comes to scalability. As trade volumes increase, it becomes challenging for traders to execute orders efficiently. Algo trading overcomes this hurdle by automating the entire process. Algorithms can handle a high volume of trades across multiple markets simultaneously, ensuring scalability without compromising on execution speed or accuracy. This scalability empowers traders to take advantage of diverse market opportunities without any operational constraints.
Increased Accuracy: Algo trading leverages the power of technology to enhance trading accuracy. The algorithms can analyze vast amounts of market data, identify patterns, and execute trades based on precise parameters. By eliminating human error and subjectivity, algo trading increases the accuracy of trade execution. This improved accuracy can lead to better trade outcomes, maximizing profits and minimizing losses.
Backtesting Capabilities and Optimization: Another significant advantage of algo trading is its ability to backtest trading strategies. Algorithms can analyze historical market data to simulate trading scenarios and evaluate the performance of different strategies. This backtesting process helps traders optimize their strategies by identifying patterns or variables that generate the best results. By fine-tuning strategies before implementing them in live markets, algo traders can increase their chances of success.
Automated Risk Management: Automated Risk Management: Managing risk is a critical aspect of trading. Algo trading offers automated risk management capabilities that can be built into the algorithms. Traders can program specific risk parameters, such as stop-loss orders or position sizing rules, to ensure that losses are limited and positions are appropriately managed. By automating risk management, algo trading reduces the reliance on manual monitoring and helps protect against potential market downturns.
Diversification: Diversification: Algo trading enables traders to diversify their portfolios effectively. With algorithms capable of simultaneously executing trades across multiple markets, asset classes, or strategies, traders can spread their investments and reduce overall risk. Diversification helps mitigate the impact of individual market fluctuations and can potentially enhance long-term returns.
Removal of Emotional Biases: Finally, algo trading eliminates the influence of emotional biases that often hinder trading decisions. Fear, greed, and other emotions can cloud judgment and lead to poor investment choices. Byrelying on algorithms, algo trading removes these emotional biases from the decision-making process. This objective approach helps traders make more rational and data-driven decisions, leading to better overall trading performance.
Disadvantage of Algo Trading
System Vulnerabilities and Risks: One of the primary concerns with algo trading is system vulnerabilities and risks. Since algo trading relies heavily on technology and computer systems, any technical malfunction or system failure can have severe consequences. Power outages, network disruptions, or software glitches can disrupt trading operations and potentially lead to financial losses. It is crucial for traders to have robust risk management measures in place to mitigate these risks effectively.
Technical Challenges and Complexity: Technical Challenges and Complexity: Algo trading involves complex technological infrastructure and sophisticated algorithms. Implementing and maintaining such systems require a high level of technical expertise and resources. Traders must have a thorough understanding of programming languages and algorithms to develop and modify trading strategies. Additionally, monitoring and maintaining the infrastructure can be challenging and time-consuming, requiring continuous updates and adjustments to keep up with evolving market conditions.
Over-Optimization: Another disadvantage of algo trading is the risk of over-optimization. Traders may be tempted to fine-tune their algorithms excessively based on historical data to achieve exceptional past performance. However, over-optimization can lead to a phenomenon called "curve fitting," where the algorithms become too specific to historical data and fail to perform well in real-time market conditions. It is essential to strike a balance between optimizing strategies and ensuring adaptability to changing market dynamic
Over Reliance on Historical Data: Algo trading heavily relies on historical data to generate trading signals and make decisions. While historical data can provide valuable insights, it may not always accurately reflect future market conditions. Market dynamics, trends, and relationships can change over time, rendering historical data less relevant. Traders must be cautious about not relying solely on past performance and continuously monitor and adapt their strategies to current market conditions.
Lack of Adaptability: Another drawback of algo trading is its potential lack of adaptability to unexpected market events or sudden changes in market conditions. Algo trading strategies are typically based on predefined rules and algorithms, which may not account for unforeseen events or extreme market volatility. Traders must be vigilant and ready to intervene or modify their strategies manually when market conditions deviate significantly from the programmed rules.
Advantages of Manual Trading
Flexibility and Adaptability: Manual trading offers the advantage of flexibility and adaptability. Traders can quickly adjust their strategies and react to changing market conditions in real-time. Unlike algorithms, human traders can adapt their decision-making process based on new information, unexpected events, or emerging market trends. This flexibility allows for agile decision-making and the ability to capitalize on evolving market opportunities.
Intuition and Experience: Human traders possess intuition and experience, which can be valuable assets in the trading process. Through years of experience, traders develop a deep understanding of the market dynamics, patterns, and interrelationships between assets. Intuition allows them to make informed judgments based on their accumulated knowledge and instincts. This human element adds a qualitative aspect to trading decisions that algorithms may lack.
Complex Decision-making: Manual trading involves complex decision-making that goes beyond predefined rules. Traders analyze various factors, such as fundamental and technical indicators, economic news, and geopolitical events, to make well-informed decisions. This ability to consider multiple variables and weigh their impact on the market enables traders to make nuanced decisions that algorithms may overlook.
Emotional Intelligence and Market Sentiment: Humans possess emotional intelligence, which can be advantageous in trading. Emotions can provide valuable insights into market sentiment and investor psychology. Human traders can gauge market sentiment by interpreting price movements, news sentiment, and market chatter. Understanding and incorporating market sentiment into decision-making can help traders identify potential market shifts and take advantage of sentiment-driven opportunities.
Contextual Understanding: Manual trading allows traders to have a deep contextual understanding of the markets they operate in. They can analyze broader economic factors, political developments, and industry-specific dynamics to assess the market environment accurately. This contextual understanding provides traders with a comprehensive view of the factors that can influence market movements, allowing for more informed decision-making.
Creative and Opportunistic Thinking: Human traders bring creative and opportunistic thinking to the trading process. They can spot unique opportunities that algorithms may not consider. By employing analytical skills, critical thinking, and out-of-the-box approaches, traders can identify unconventional trading strategies or undervalued assets that algorithms may overlook. This creative thinking allows traders to capitalize on market inefficiencies and generate returns.
Complex Market Conditions: Manual trading thrives in complex market conditions that algorithms may struggle to navigate. In situations where market dynamics are rapidly changing, volatile, or influenced by unpredictable events, human traders can adapt quickly and make decisions based on their judgment and expertise. The ability to think on their feet and adjust strategies accordingly enables traders to navigate challenging market conditions effectively.
Disadvantage of Manual Trading
Emotional Bias: Algo trading lacks human emotions, which can sometimes be a disadvantage. Human traders can analyze market conditions based on intuition and experience, while algorithms solely rely on historical data and predefined rules. Emotional biases, such as fear or greed, may play a role in decision-making, but algorithms cannot factor in these nuanced human aspects.
Time and Effort: Implementing and maintaining algo trading systems require time and effort. Developing effective algorithms and strategies demands significant technical expertise and resources. Traders need to continuously monitor and update their algorithms to ensure they remain relevant in changing market conditions. This ongoing commitment can be time-consuming and may require additional personnel or technical support.
Execution Speed: While algo trading is known for its speed, there can be challenges with execution. In fast-moving markets, delays in order execution can lead to missed opportunities or less favorable trade outcomes. Algo trading systems need to be equipped with high-performance infrastructure and reliable connectivity to execute trades swiftly and efficiently.
Information Overload: In today's digital age, vast amounts of data are available to traders. Algo trading systems can quickly process large volumes of information, but there is a risk of information overload. Filtering through excessive data and identifying relevant signals can be challenging. Traders must carefully design algorithms to focus on essential information and avoid being overwhelmed by irrelevant or noisy data.
The Power of AI in Enhancing Algorithmic Trading:
Data Analysis and Pattern Recognition: AI algorithms excel at processing vast amounts of data and recognizing patterns that may be difficult for human traders to identify. By analyzing historical market data, news, social media sentiment, and other relevant information, AI-powered algorithms can uncover hidden correlations and trends. This enables traders to develop more robust trading strategies based on data-driven insights.
Predictive Analytics and Forecasting: AI algorithms can leverage machine learning techniques to generate predictive models and forecasts. By training on historical market data, these algorithms can identify patterns and relationships that can help predict future price movements. This predictive capability empowers traders to anticipate market trends, identify potential opportunities, and adjust their strategies accordingly.
Real-time Market Monitoring: AI-based systems can continuously monitor real-time market data, news feeds, and social media platforms. This enables traders to stay updated on market developments, breaking news, and sentiment shifts. By incorporating real-time data into their algorithms, traders can make faster and more accurate trading decisions, especially in volatile and rapidly changing market conditions.
Adaptive and Self-Learning Systems: AI algorithms have the ability to adapt and self-learn from market data and trading outcomes. Through reinforcement learning techniques, these algorithms can continuously optimize trading strategies based on real-time performance feedback. This adaptability allows the algorithms to evolve and improve over time, enhancing their ability to generate consistent returns and adapt to changing market dynamics.
Enhanced Decision Support:
AI algorithms can provide decision support tools for traders, presenting them with data-driven insights, risk analysis, and recommended actions. By combining the power of AI with human expertise, traders can make more informed and well-rounded decisions. These decision support tools can assist in portfolio allocation, trade execution, and risk management, enhancing overall trading performance.
How Algorithmic Trading Handles News and Events?
In the fast-paced world of financial markets, news and events play a pivotal role in driving price movements and creating trading opportunities. Algorithmic trading has emerged as a powerful tool to capitalize on these dynamics.
Automated News Monitoring:
Algorithmic trading systems are equipped with the capability to automatically monitor news sources, including financial news websites, press releases, and social media platforms. By utilizing natural language processing (NLP) and sentiment analysis techniques, algorithms can filter through vast amounts of news data, identifying relevant information that may impact the market.
Real-time Data Processing:
Algorithms excel in processing real-time data and swiftly analyzing its potential impact on the market. By integrating news feeds and other event-based data into their models, algorithms can quickly evaluate the relevance and potential market significance of specific news or events. This enables traders to react promptly to emerging opportunities or risks.
Event-driven Trading Strategies:
Algorithmic trading systems can be programmed to execute event-driven trading strategies. These strategies are designed to capitalize on the market movements triggered by specific events, such as economic releases, corporate earnings announcements, or geopolitical developments. Algorithms can automatically scan for relevant events and execute trades based on predefined criteria, such as price thresholds or sentiment analysis outcomes.
Sentiment Analysis:
Sentiment analysis is a crucial component of news and event-based trading. Algorithms can analyze news articles, social media sentiment, and other textual data to assess market sentiment surrounding a specific event or news item. By gauging positive or negative sentiment, algorithms can make informed trading decisions and adjust strategies accordingly.
Backtesting and Optimization:
Algorithmic trading allows for backtesting and optimization of news and event-driven trading strategies. Historical data can be used to test the performance of trading models under various news scenarios. By analyzing the past market reactions to similar events, algorithms can be fine-tuned to improve their accuracy and profitability.
Algorithmic News Trading:
Algorithmic news trading involves the automatic execution of trades based on predefined news triggers. For example, algorithms can be programmed to automatically buy or sell certain assets when specific news is released or when certain conditions are met. This automated approach eliminates the need for manual monitoring and ensures swift execution in response to news events.
Risk Management:
Algorithmic trading systems incorporate risk management measures to mitigate the potential downside of news and event-driven trading. Stop-loss orders, position sizing algorithms, and risk management rules can be integrated to protect against adverse market movements or unexpected news outcomes. This helps to minimize losses and ensure controlled risk exposure.
Flash Crash 2010: A Historic Market Event
On May 6, 2010, the financial markets experienced an unprecedented event known as the "Flash Crash." Within a matter of minutes, stock prices plummeted dramatically, only to recover shortly thereafter. This sudden and extreme market turbulence sent shockwaves through the financial world and highlighted the vulnerabilities of an increasingly interconnected and technology-driven trading landscape.
The Flash Crash Unfolds:
On that fateful day, between 2:32 p.m. and 2:45 p.m. EDT, the U.S. stock market experienced an abrupt and severe decline in prices. Within minutes, the Dow Jones Industrial Average (DJIA) plunged nearly 1,000 points, erasing approximately $1 trillion in market value. Blue-chip stocks, such as Procter & Gamble and Accenture, saw their prices briefly crash to a mere fraction of their pre-crash values. This sudden and dramatic collapse was followed by a swift rebound, with prices largely recovering by the end of the trading session.
The Contributing Factors:
Several factors converged to create the perfect storm for the Flash Crash. One key element was the increasing prevalence of high-frequency trading (HFT), where computer algorithms execute trades at lightning-fast speeds. This automated trading, combined with the interconnectedness of markets, exacerbated the speed and intensity of the crash. Additionally, the widespread use of stop-loss orders, which are triggered when a stock reaches a specified price, amplified the selling pressure as prices rapidly declined. A lack of adequate market safeguards and regulatory mechanisms further exacerbated the situation.
Role of Algorithmic Trading:
Algorithmic trading played a significant role in the Flash Crash. As the markets rapidly declined, certain algorithmic trading strategies failed to function as intended, exacerbating the sell-off. These algorithms, designed to capture small price discrepancies, ended up engaging in a "feedback loop" of selling, pushing prices even lower. The speed and automation of algorithmic trading made it difficult for human intervention to effectively mitigate the situation in real-time.
Market Reforms and Lessons Learned:
The Flash Crash of 2010 prompted significant regulatory and technological reforms aimed at preventing similar events in the future. Measures included the implementation of circuit breakers, which temporarily halt trading during extreme price movements, and revisions to market-wide circuit breaker rules. Market surveillance and coordination between exchanges and regulators were also enhanced to better monitor and respond to unusual trading activity. Additionally, the incident highlighted the need for greater transparency and scrutiny of algorithmic trading practices.
Implications for Market Stability:
The Flash Crash served as a wake-up call to market participants and regulators, underscoring the potential risks associated with high-frequency and algorithmic trading. It highlighted the importance of ensuring that market infrastructure and regulations keep pace with technological advancements. The incident also emphasized the need for market participants to understand the intricacies of the trading systems they employ, and for regulators to continually evaluate and adapt regulatory frameworks to address emerging risks.
The Flash Crash of 2010 stands as a pivotal moment in financial market history, exposing vulnerabilities in the increasingly complex and interconnected world of electronic trading. The event triggered significant reforms and led to a greater focus on market stability, transparency, and risk management. While strides have been made to enhance market safeguards and regulatory oversight, ongoing vigilance and continuous adaptation to technological advancements are necessary to maintain the integrity and stability of modern financial markets.
How Algorithmic Trading Thrives in Changing Markets?
Algorithmic trading (ALGO) can tackle changing market conditions through various techniques and strategies that allow algorithms to adapt and respond effectively. Here are some ways ALGO can address changing market conditions:
Real-Time Data Analysis: Algo systems continuously monitor market data, including price movements, volume, news feeds, and economic indicators, in real-time. By analyzing this data promptly, algorithms can identify changing market conditions and adjust trading strategies accordingly. This enables Algo to capture opportunities and react to market shifts more rapidly than human traders.
Dynamic Order Routing: Algo systems can dynamically route orders to different exchanges or liquidity pools based on prevailing market conditions. By assessing factors such as liquidity, order book depth, and execution costs, algorithms can adapt their order routing strategies to optimize trade execution. This flexibility ensures that algo takes advantage of the most favorable market conditions available at any given moment.
Adaptive Trading Strategies: Algo can utilize adaptive trading strategies that are designed to adjust their parameters or rules based on changing market conditions. These strategies often incorporate machine learning algorithms to continuously learn from historical data and adapt to evolving market dynamics. By dynamically modifying their rules and parameters, algo systems can optimize trading decisions and capture opportunities across different market environments.
Volatility Management: Changing market conditions often come with increased volatility. Algo systems can incorporate volatility management techniques to adjust risk exposure accordingly. For example, algorithms may dynamically adjust position sizes, set tighter stop-loss levels, or modify risk management parameters based on current market volatility. These measures help to control risk and protect capital during periods of heightened uncertainty.
Pattern Recognition and Statistical Analysis: Algo systems can employ advanced pattern recognition and statistical analysis techniques to identify recurring market patterns or anomalies. By recognizing these patterns, algorithms can make informed trading decisions and adjust strategies accordingly. This ability to identify and adapt to patterns helps algocapitalize on recurring market conditions while also remaining adaptable to changes in market behavior.
Backtesting and Simulation: Algo systems can be extensively backtested and simulated using historical market data. By subjecting algorithms to various market scenarios and historical data sets, traders can evaluate their performance and robustness under different market conditions. This process allows for fine-tuning and optimization of algo strategies to better handle changing market dynamics.
In summary, algo tackles changing market conditions through real-time data analysis, dynamic order routing, adaptive trading strategies, volatility management, pattern recognition, statistical analysis, and rigorous backtesting. By leveraging these capabilities, algo can effectively adapt to evolving market conditions and capitalize on opportunities while managing risks more efficiently than traditional trading approaches
The Rise of Algo Traders: Is Technical Analysis Losing Ground?
Although algorithmic trading (algo trading) can automate and optimize certain elements
of technical analysis, it is improbable that it will fully substitute it. Technical analysis is a financial discipline that encompasses the examination of historical price and volume data, chart patterns, indicators, and other market variables to inform trading strategies. There are several reasons why algo traders cannot entirely supplant technical analysis:
Interpretation of Market Psychology: Technical analysis incorporates the understanding of market psychology, which is based on the belief that historical price patterns repeat themselves due to human behavior. It involves analyzing investor sentiment, trends, support and resistance levels, and other factors that can influence market movements. Algo traders may use technical indicators to identify these patterns, but they may not fully capture the nuances of market sentiment and psychological factors.
Subjectivity in Analysis: Technical analysis often involves subjective interpretation by traders, as different individuals may analyze the same chart or indicator differently. Algo traders rely on predefined rules and algorithms that may not encompass all the subjective elements of technical analysis. Human traders can incorporate their experience, intuition, and judgment to make nuanced decisions that may not be easily captured by algorithms.
Market Adaptability: Technical analysis requires the ability to adapt to changing market conditions and adjust strategies accordingly. While algorithms can be programmed to adjust certain parameters based on market data, they may not possess the same adaptability as human traders who can dynamically interpret and respond to evolving market conditions in real-time.
Unpredictable Events: Technical analysis is often challenged by unexpected events, such as geopolitical developments, economic announcements, or corporate news, which can cause significant market disruptions. Human traders may have the ability to interpret and react to these events based on their knowledge and understanding, while algo traders may struggle to respond effectively to unforeseen circumstances.
Fundamental Analysis: Technical analysis primarily focuses on price and volume data, while fundamental analysis considers broader factors such as company financials, macroeconomic indicators, industry trends, and news events. Algo traders may not have the capacity to analyze fundamental factors and incorporate them into their decision-making process, which can limit their ability to fully replace technical analysis.
In conclusion, while algo trading can automate certain elements of technical analysis, it is unlikely to replace it entirely. Technical analysis incorporates subjective interpretation, market psychology, adaptability, and fundamental factors that may be challenging for algorithms to fully replicate. Human traders with expertise in technical analysis and the ability to interpret market dynamics will continue to play a significant role in making informed trading decisions.
The Ultimate Winner - Algo Trading or Manual Trading?
Determining whether algo trading or manual trading is best depends on various factors, including individual preferences, trading goals, and skill sets. Both approaches have their advantages and limitations, and what works best for one person may not be the same for another. Let's compare the two:
Speed and Efficiency: Algo trading excels in speed and efficiency, as computer algorithms can analyze data and execute trades within milliseconds. Manual trading involves human decision-making, which may be subject to cognitive biases and emotional factors, potentially leading to slower execution or missed opportunities.
Emotion and Discipline: Algo trading eliminates emotional biases from trading decisions, as algorithms follow predefined rules without being influenced by fear or greed. Manual trading requires discipline and emotional control to make objective decisions, which can be challenging for some traders.
Adaptability: Algo trading can quickly adapt to changing market conditions and execute trades based on pre-programmed rules. Manual traders can adapt their strategies as well, but it may require more time and effort to monitor and adjust to rapidly evolving market dynamics.
Complexity and Technical Knowledge: Algo trading requires programming skills or the use of algorithmic platforms, which can be challenging for traders without a technical background. Manual trading, on the other hand, relies on an understanding of fundamental and technical analysis, which requires continuous learning and analysis of market trends.
Strategy Development: Algo trading allows for systematic and precise strategy development based on historical data analysis and backtesting. Manual traders can develop their strategies as well, but it may involve more subjective interpretations of charts, patterns, and indicators.
Risk Management: Both algo trading and manual trading require effective risk management. Algo trading can incorporate predetermined risk management parameters into algorithms, whereas manual traders need to actively monitor and manage risk based on their judgment.
Ultimately, the best approach depends on individual circumstances. Some traders may prefer algo trading for its speed, efficiency, and objective decision-making, while others may enjoy the flexibility and adaptability of manual trading. It is worth noting that many traders use a combination of both approaches, utilizing algo trading for certain strategies and manual trading for others.
In conclusion, algorithmic trading offers benefits such as speed, efficiency, and risk management, while manual trading provides adaptability and human intuition. AI enhances algorithmic trading by processing data, recognizing patterns, and providing decision support. Algos excel in automated news monitoring and event-driven strategies. However, the Flash Crash of 2010 exposed vulnerabilities in the interconnected trading landscape, with algorithmic trading exacerbating the market decline. It serves as a reminder to implement appropriate safeguards and risk management measures. Overall, a balanced approach that combines the strengths of both algorithmic and manual trading can lead to more effective and resilient trading strategies.
It’s Not That You’re Not ProfitableI've made this serious mistake when I started out trading.
I skipped from strategy to strategy, methodology to methodology.
I've tried almost everything. Signals, account management, mentorships, PAMM, expert advisors, bots and paid indicators.
Everything seems to be profitable, until I put my hands onto it. Many times, I found some profitability. After depositing a bit more capital, I encountered large losses.
Why?
95% of the traders will not be profitable. Will I be in this statistic? I don't think so. I'm pretty sure I'm better than others!
Realization Of The Issue
The big issue I was facing at the beginning was searching for the holy grail. I don't have a plan. I switched from A to B within a few months of losing money. I was so fixated on getting rich quick through trading. Everything on the marketing material targeted at my desires. Survival, enjoying life, comfort and the perceived status of being rich and successful.
I was invested in the topic of personal development and personal finance at that time. While I was doing my goal settings, I realized that I have been losing close to 5 figures over a course of 2 years. This is bad for me because of 2 key problems.
I wasn't growing my net worth.
I was losing net worth.
At the rate I'm going, I will be working till I'm 65 before I can retire.
I gave myself another chance to do things properly. I read a lot of trading books, joined mentorships and watched a lot of YouTube videos.
I decided to give myself one last chance and one more year.
I started to see changes.
Human Are Emotional
We are all emotional. You are greedy. You fear drawdowns. Did you look at the posts people are posting on social media? Consistent high RR trades that yield them thousands of dollars a day. You aspire to be like them. You want that kind of strategy. You want to learn from them. But have you think about this. If they can produce such consistent high return results, why would they want to teach you how to trade? They can simply trade for big institutional players who will pay them large amount of money. They don't need to pitch to you to buy their courses and mentorship for a mere $99. This doesn't add up.
Trading Plan
If you fail to plan, you plan to fail.
The more I think about this, the more I got attracted to this quote. This is true in life, and even more relatable to traders. If you have a trading plan that gives you 3 RR per trade, stick to it. I know that it feels good to hit a homerun trade. Your trading plan says 3 RR per trade, but you dragged your TP to 10 RR. When the trade ends up in a loss, you scold the market. You could have taken the full profit at 3 RR if you followed your rules.
You deviate from your trading plan. You don't trade based on your backtesting results. You then say that your trading strategy doesn't work. Sounds logical?
Without a plan, you're just going in circles like what I did at the beginning. Circling from strategy to strategy, and methodology to methodology.
Without a plan, you're going to encounter losses after losses. You won't be getting your 6 figure income. You won't get to enjoy life. You won't get to live comfortably. You won't get to be seen as a successful person. What you will get to do is to work for a 9 - 5 until you're 65.
Achieve Consistency
You have to follow your trading plan. But before you even have your trading plan, you have to backtest. You have to have a least 100 trades to say that your trade can give you a certain result. The below tells you what's the win rate needed to be at least break even. If your strategy has a RRR of 1:3, aim for at least 30% win rate. Anything above 30% is a very profitable strategy.
When you follow your plan step by step, you take all the same trades. You leave no room for emotions and irrational behaviors. You wait for the same confirmation and set up every single time.
You don't need to care what other people say. You don't have to care about what people's analysis are. You do you own analysis. Different people view the market differently. You can be trading on the lower timeframe, but they are trading on the higher timeframe. We see different things.
Remember that anything can happen in the market. It take just one big institutional player to take you out, or to swing your trade to your target.
Profitability
Increasing your profitability comes from 2 angles.
1. Increasing your win rate
2. Don't take bad trades
It seems counter-intuitive to say that you can achieve more by doing less. With a trading plan and a trading journal, you are able to see the pattern over large number of trades. Analyze them and see why do some trades go wrong. Are there similar conditions that happened to your losing trades?
You must be thinking. "But I don't want a strategy that gives me 2 RR. That's not enough. I need higher RR strategy.".
Assuming you're risking 1% a trade, with an above breakeven win rate, you will profit 2% for a winning trade. If you're trading a $200,000 account, that is a $4,000 profit. Is that not enough? Not many people earns this much money in a month.
This is what I'm aiming to achieve. If I can scale my accounts even more, I need even lesser profits a month to achieve a $4,000 target per month.
Holy Grail
I gave myself one last chance to trading. You can call it luck, I call it perseverance. It was a really good mentorship. I learnt a lot from someone who has been there done that and is trading for a living.
I had my profitable trading strategy, but it requires me to trade on the 1 minute timeframe. It’s profitable but I haven't got my consistency in the live market. It was a low win rate and higher RR strategy. I traded live account straight away. Attempted prop firm, got a 200k funded account and blew it before I got my first payout. I discarded it.
My mentor was scalping on the seconds chart. Thinking that sitting down in front of the chart for 1 to 2 hours, I can finish my trading day. I found consistency, but I was lazy and got distracted easily. I soon discarded it after trading live for awhile. (What was I thinking. Where did my motivation went to?)
Another member shared a strategy with decent win rate and high RR. I spent a lot of time backtesting, live trading and saw some results. However, my psychology wasn't good enough to handle the drawdown. it’s not a good strategy for prop firm challenges too. So I gave up AGAIN.
Went back and gave myself another try. I used my original trading strategy. I tweaked it such that I will be trading on the higher timeframe to accommodate my lifestyle. I backtest a lot of course. Finally traded live, and found consistency. This led to my first payout with decent looking equity curve.
I took a long route to come back to where I’ve started. I've finally found my holy grail.
Framework
This is the framework of how I trade.
1. Markup your chart. Find the area of liquidity, point of interests, liquidity grab, direction of the market and demand and supply zones. Do your multi-timeframe analysis here. Higher probability trade is to buy at discount levels, and sell at premium levels.
2. Set alert at your point of interests (Where to buy and sell)
3. Write down your analysis on the chart. If the price hits your point of interest, I would expect X to happen. When X happens, I will do Y.
4. When the alert goes off, go back to your chart and see if your analysis in step 3 still holds.
5a. If yes, mark out roughly where your stop loss and profit target will be. See if the RR is decent enough. If yes, then wait for the price to give you a confirmation. If no, either wait for a refined entry on the lower timeframe, or to wait for another confirmation.
5b. If not, repeat step 1.
6. Wait for price to give you a confirmation. Calculate the lot size you need to open based on your risk management and place your order.
7. Once you're in the trade, you can either forget about your trade and let it hit TP or SL, or actively manage your position. This will depend on how you backtested your strategy.
8. Once your trade hits the TP or SL, journal it. Record your entry, take profit and stop loss. Take screenshots. Record your emotions and feelings before, during and after the trade.
This is how a trading plan should look like. A clear plan of action and train of thought. There should be actions taken before, during and after the trade.
Do not follow strictly if your trading strategy is different from me. You need to change it to fit your strategy and lifestyle.
Mentorship
Having someone who has been there done that before is important. A mentor can provide valuable advice that can define and reach your goals faster. A mentor will provide feedback and support you. A mentor will remove all the unnecessary information that you don't need.
A mentor must be able to look at any strategy and tell you what's not working and what you should stop. A mentor should not force you to use his strategy. He must be able share his mistakes. He must be able to show you solid trading results via 3rd party verification. 3rd party verification should be Myfxbook or Fxblue, not screenshots or excel worksheet. He should walk you through development as a person outside of trading.
Stay consistent. Stay safe. Success is just around the corner.
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Happy weekend!
Exploring Bitcoin and Altcoin DominanceIntroduction
The dynamic landscape of cryptocurrency trading is filled with a multitude of variables that traders need to comprehend to navigate the financial waters successfully. One such vital aspect of understanding is the relationship between Bitcoin Dominance (BTC.D) and Other Cryptocurrencies Dominance (OTHERS.D). This article aims to provide an in-depth insight into this relationship and its long-term trends.
Bitcoin Dominance: What is it?
Firstly, to understand the relationship between these two, we must grasp what Bitcoin dominance implies. Essentially, Bitcoin dominance illustrates the ratio of Bitcoin's total market capitalization relative to the aggregate market capitalization of the entire cryptocurrency market. Expressed as a percentage on a scale from 0 to 100, it signifies the proportion of Bitcoin's capitalization compared to the total market capitalization.
Other Cryptocurrencies Dominance (OTHERS.D)
Similarly, Other Cryptocurrencies Dominance (OTHERS.D) represents the total market capitalization of the top 125 altcoins, excluding Bitcoin and some other leading cryptocurrencies. It reflects how the altcoins are faring against the total market cap in the crypto market.
Correlation Between BTC.D and OTHERS.D
Now, the crucial question is, why should we care about these percentages? The significance of this relationship is revealed through the Correlation Coefficient indicator, which quantifies the degree to which these two indices move in relation to each other.
A Correlation Coefficient value of +1 indicates a strong positive correlation, signifying that both instruments tend to rise or fall simultaneously. Conversely, a correlation coefficient of -1 represents an inverse relationship, meaning when one instrument rises, the other falls. A coefficient of 0 suggests no apparent correlation, implying that the two instruments move independently of each other.
Historical data reveals that the correlation between BTC.D and OTHERS.D is often around -0.9. This suggests an inverse relationship where an increase in Bitcoin dominance typically corresponds to a decrease in altcoins dominance, and vice versa. This correlation is significant as it guides traders on whether to shift their focus towards Bitcoin or altcoins.
Long Term Trends
When we delve deeper into the long-term trend analysis of BTC.D and OTHERS.D, a broader picture begins to emerge. This broader view becomes more apparent when we visualize these trends, with Bitcoin dominance (BTC.D) represented in orange and Others.D in red, which allows for a clear discernment of an inverse correlation trend.
Over time, Bitcoin dominance, as depicted by the orange trend, has tended to display a downward trajectory. This indicates that Bitcoin's proportion of the total market cap has been steadily diminishing. In stark contrast, Others.D, represented in red, has shown a long-term upward trend. This indicates that the dominance and capitalization of altcoins are gradually rising relative to the total market cap.
Conclusion
Understanding the symbiosis between Bitcoin Dominance (BTC.D) and Other Cryptocurrencies Dominance (OTHERS.D) is instrumental for navigating the cryptocurrency trading landscape effectively. A clear trend, observable over the long term, shows a steady decrease in Bitcoin dominance juxtaposed with a corresponding increase in altcoin dominance.
This evolution might be attributed to several factors. One of these could be the proliferation of new cryptocurrencies entering the market. Another factor could be the progressive advancement of blockchain technology, which is steadily pushing the envelope of modernization.
It is essential, therefore, to regularly analyze and monitor the BTC.D and OTHERS.D charts. Spotting a distinct trend in either direction could offer valuable insights for your investment strategy. Attempting to follow these trends can potentially provide advantageous trading opportunities.
The beauty of Bitcoin's design lies in its transparency. Nowhere else is the flow of capital as visible as in Bitcoin. This visibility lends a unique perspective, providing traders a strategic edge. By embracing this, you can bolster your understanding of these market dynamics, facilitating more informed and effective trading decisions in the fluctuating world of cryptocurrency.
Thank you for reading this article. I hope it has provided you with a useful insight into the relationship between Bitcoin Dominance and Other Cryptocurrencies Dominance, thereby enhancing your understanding of cryptocurrency trading. Your pursuit of knowledge in this ever-evolving field is commendable. Stay informed, stay ahead!
Best Regards,
Karim Subhieh
EDUCATION: Hedging vs Stoploss Some rookie traders frequently trade without a stop loss because they think they can avoid being stopped out by market swings or rollover. However, if the market moves against them, this technique could result in severe losses. In this article, we'll cover why trading without a stop loss is a bad idea and how stop losses can be used efficiently or, as an alternative, how to employ hedging techniques.
What is a stop loss?
A stop loss is an order that you place on your trading platform to automatically close your position at a certain price level if the market goes against you. For example, if you buy EUR/USD at 1.2000 and set a stop loss at 1.1950, you are limiting your potential loss to 50 pips if the price drops below that level. A stop loss can help you control your emotions and prevent you from holding on to losing trades for too long, hoping that the market will turn around.
There are several reasons why trading without a stop loss is a bad idea, such as:
🔹 You expose yourself to unlimited risk. Without a stop loss, you have no exit plan and you are relying on your gut feeling or luck to close your trade at the right time. However, the market can be unpredictable and volatile, and sometimes it can move hundreds or thousands of pips in a matter of minutes or hours. If you don't have a stop loss, you can lose more than your initial investment and even end up with a negative balance in your account.
🔹 You increase your stress level. Trading without a stop loss means that you have to constantly monitor your positions and worry about every pip movement. This can be very stressful and exhausting, especially if you have multiple trades open at the same time. You may also experience fear, greed, anxiety, anger, frustration, and other negative emotions that can cloud your judgment and affect your trading performance.
🔹 You reduce your profitability. Trading without a stop loss can also reduce your profitability in the long run. By not cutting your losses short, you are letting them eat into your profits and reduce your win rate. You may also miss out on better trading opportunities because you are too focused on your losing trades or afraid to open new ones. Additionally, you may incur higher trading costs due to wider spreads, commissions, swaps, and slippage.
How to use stop losses effectively?
Effectively utilizing stop losses will help you increase your trading profits and stay away from the risks of trading without one. The following advice will help you use stop losses effectively:
🔹 Determine your stop loss level using technical analysis. You can use a variety of technical tools and indicators, including as support and resistance levels, trend lines, Fibonacci retracements, moving averages, volatility indicators, etc., to pinpoint areas where the market is expected to reverse or rebound. Depending on whether you are going long or short, you should set your stop loss just below or just above these levels.
🔹 Use risk management rules to determine your position size. You should always calculate how much money you are willing to risk on each trade and adjust your position size accordingly. A common rule of thumb is to risk no more than 1% or 2% of your account balance per trade. This way, you can limit your losses and preserve your capital for future trades.
🔹Use trailing stops to lock in profits. A trailing stop is a type of stop loss that moves along with the price as it goes in your favor. For example, if you buy EUR/USD at 1.2000 and set a trailing stop of 20 pips, your stop loss will move up by 20 pips every time the price moves up by 20 pips or more. This way, you can protect your profits and let your winners run.
NB: In related ideas I have attached my publication on trailing stop loss and support and resistance for those who would like to know more on those topics
If a trade is having a hard time using stop losses what they can do as an alternative is hedge there position. Similar to how stock traders will use stock options to hedge their risk in the markets.
What is hedging ?
Hedging is a trading strategy that involves opening a position opposite to an existing one, in order to reduce the risk of loss from unfavorable price movements. For example, if you are long on EUR/USD, you can hedge by opening a short position on the same currency pair. This way, if the price goes down, you can offset some or all of the losses from your long position with the profits from your short position.
Why this and not a stop loss ?
The reasons someone would do this is because a stop loss can be triggered by temporary price fluctuations that do not reflect the true market direction. This can result in premature exits and missed opportunities. Moreover, stop loss can expose you to slippage and gaps, which are situations where the market price jumps over your stop loss level and executes your order at a worse price than expected causing you to loss more that you anticipated. hedging your position protects you from those situations. By hedging, you can keep both positions open until you are confident about the market direction and close the losing one when the price starts trending in your direction again.
Things to note: Though you have positions opened in both directions and in theory you should not lose any additional funds once you've initiated the hedge it is worth noting that you can still have fees both positive and negative from swap fees at rollover depending on the direction and the asset you are trading. I will be doing a post soon on heading as a stop loss as a standalone topic and also swaps and rollover.
WHAT IS THE WYCKOFF METHOD?The Wyckoff Method is a trading strategy developed by Richard D. Wyckoff. It is based on the principles of supply and demand and is used to analyze price movements in financial markets. The Wyckoff method involves identifying support and resistance levels, analyzing volume and volatility, and studying the relative strength of different markets and uses these patterns to identify trading opportunities. The strategy is used by traders to identify trends and determine entry and exit points.
The four cycles defined by Wyckoff's model of market behavior are:
Accumulation
Impulse leg is an upward trending movement
Distribution
Downward movement
Three Wyckoff Principle 📜
The supply and demand law, the cause-and-effect link, and the connection between effort and results are the three rules that make up the Wyckoff trading strategy. The principle of supply and demand. If there is an increase in demand over supply, it leads to an increase in the value of a financial instrument. Prices rise because the quantity of an asset is limited and investors are willing to pay more when there is a shortage of the asset. If the demand for the asset falls relative to the supply, the asset loses in value. When supply and demand are in balance, the price is roughly in the same place, which causes the volatility in the market to decrease to a minimum.
According to Wyckoff, accumulation time correlates with an uptrend, while distribution, in contrast, leads to a downtrend in what is called a supply and demand imbalance. When an asset spends a lot of time in the accumulation or distribution zone, there are often strong impulsive moves to break through the zone. A bullish trend will continue upward if a higher price is accompanied by high volume. However, if prices are rising and volumes are high, the trend will shift downward. According to Wyckoff's method, the market should be viewed from the point of view of the main participants, or market makers.
Accumulation 📊
Market makers accumulate assets. Accumulation is when investors buy a lot of a certain asset over time. This makes their holdings bigger, which can lead to higher returns. Some investors believe a certain asset is undervalued and will go up in value. Also, some investors want to diversify their portfolio by adding a new asset.
Impulse move 📈
Market makers eventually start to trade more assets, which causes the price to rise. Investors are becoming greater in number and demand goes up. The volume rises and a trend quickly ascends to new highs. It is typically characterized by a sharp, sustained move in price. This type of movement is often seen during a bull or bear market, when investors are trying to capitalize on the sudden change in price.
Distribution 📉
Market makers distribute assets they have purchased by offering profitable positions to participants who just recently joined the market. Indicators of the cycle include sideways price movement and rising volumes. The demand is absorbed up until the point of exhaustion. A lot of securities or other financial instruments are sold in a short time. This is usually done by institutional investors, like mutual funds, hedge funds, and pension funds, to raise cash or to reduce their securities holdings.
Sell-off 📉
Supply exceeds demand. The market maker reduces the price to a certain level. As soon as the decline is completed, the market enters the next accumulation cycle. On the gold chart, we can see each of Wyckoff's cycles: accumulation, momentum, distribution and depreciation. The phases of accumulation and distribution may differ.
Conclusion 💡
The Wyckoff technique gives detailed principles and strategies, to assist traders in making reasoned decisions. His work explains the market's logic and psychology, which determine how decisions about buying and selling are made. Numerous oscillators are integrated with cluster analysis in the method.
The US Treasury cash rebuild; volmageddon or a nothing burger
While Congress still needs to pass the debt limit agreement, the debate in the market has shifted to the need for the US Treasury Department (UST) to rapidly rebuild its depleted cash levels.
We have no understanding of the timetable, but already the debate is whether the significant level of Treasury bill issuance will result in a major headwind for global financial markets, while others believe this is pure hype.
Some are contrasting what lies ahead as a massive liquidity withdrawal from financial markets – Quantitative Tightening (QT) on steroids – where we will essentially see USD liquidity sucked out of the system.
The process of raising cash levels
To raise and rebuild its now low cash balances, the US Treasury Department (UST) will look to issue around $1.3t of US T-bills over the following 12 months. Around $700b of this T-bill issuance will be fast-tracked, tapping up the market within a matter of months, with the private sector expected to buy what the Treasury is selling.
US Treasury bills (‘T-bills’) are high-quality debt instruments which have a maturity of less than 12 months.
With the US Treasury replenishing its cash balances it would be able to make ongoing payments and meet its obligations. Plus they will keep its additional capital on the Fed’s balance sheet (under the Treasury General Account or ‘TGA’) for future payments.
The effect on markets
The concern in the market is around the notion of a “liquidity drain” – whereby the UST remove such staggering levels of liquidity out of the system, in a short period, that we see bank funding costs heading markedly higher and USD rates rising to highly concerning levels. Could this dynamic cause renewed concerns in the US regional banks?
Drilling into the theme - the potential stress in markets really comes down to who exactly absorbs the issuance, as this is key in determining the potential impact on system liquidity.
A drawdown in RRP balances
US money market funds (MMF) have historically been the big buyers of T-bill issuance and could again play a key role in supporting the USTs quest to recapitalize. Money funds currently have near-exclusive access to the Fed’s Reverse Repo facility or ‘RRP’ (TradingView code – RRPONTSYD), and have around $2.2t parked there, where they get 5.05% (annualized) risk-free.
If US T-bills are issued to the public at a yield close to the RRP rate (of 5.05%), then there’s a case that we see money funds withdrawing a sizeable level of holdings from the RRP facility and supporting the US T-bill issuance.
It is widely considered that risk assets (e.g. equities) would not be impacted when a large percentage of the USTs issuance is funded by RRP balances. In fact, some are saying this could be a net positive given there has been a scarcity of high-quality T-bills in the system of late.
A drain in bank reserves would be more problematic for markets
Banks are required to hold a level of reserves as a percentage of their deposit base. However, banks/depository institutions often hold reserves in excess of their regulatory requirements - this can be highly advantageous should they have to meet increasing deposit withdrawals.
Instead of keeping these excess reserves (cash equivalent) on their balance sheet, they can be offered to the Fed, where since 2008 they will receive interest paid at 5.15% (annualized) through the Fed’s IORB facility (Interest on Reserve Balances - TV code: WRBWFRBL).
The RRP and IORB spread guides overnight lending rates
With the RRP rate currently at 5.05% and IORB paid at 5.15% this spread represents the corridor by which the fed funds effective rate (EFFR) – the rate at which banks will borrow/lend cash overnight – trades. This is the fundamentals of how the Fed sets monetary policy and to date, it has been very effective.
The concern from some is where money funds have less involvement in supporting UST T-bill issuance - resulting in a comparatively low RRP drawdown – with a large percentage of the issuance supported by a drain of bank reserves.
Some strategists estimate that of this potential $700b in near-term T-bill issuance around $400b to $500b of this will be funded by the liquidation of bank reserves balances. That could the scenario where we could – in theory - see higher market volatility.
It’s really about a scarcity of reserves
There are currently $3.28t of excess bank reserves parked on the Fed’s balance sheet - so if we were to see a $500b drawdown in reserves then this balance would fall quite rapidly to around $2.8t. This is important because many feel the Lowest Comfortable Level of Reserve (LCLoR) that must be in the financial system is between $2.5t and $2.2t.
Interestingly, some feel an aggressive decline in reserves would be a headwind for risk assets – if we look at the regression between reserves and S&P500 futures, we can see an R^2 of 0.79. In effect, 79% of the variance in US equity futures can be explained by reserves – statistically, it’s very meaningful.
So this injects some credence to the idea that reserve drawdown could be a short-term headwind for risk. However, where this becomes interesting, and where we would see true stress in the system is through monitoring the spread between the Fed’s effective rate (TradingView Code: EFFR) and upper bound of the rates channel and Interest paid on Reserve Balances (on TradingView code: IORB).
Currently, this spread sits at -7bp, but if we were to see the fed funds effective rate (EFFR) moving to the top of this corridor and even trading at a premium to IORB, it’s at this point where the market is telling us that we’re moving closer to a scarcity of reserves in the system.
This is where things would be far more prone to breaking, and the Fed will need to act swiftly.
When EFFR trades at a premium to IORB it essentially portrays that the money market channels are breaking and demand for short-term loans is becoming increasingly inelastic – subsequently, those in need of short-term loans will continue to pay ever higher prices.
Of course, this may not play out. We may see reserves falling precipitously and risk assets and the USD show no relationship at all to this dynamic. However, it is a risk, and we need to recognise the triggers and be open to the possibility it does cause a higher volatility regime, especially given it comes at a time when EU banks are having to pay back E500b of TLRO loans to the ECB.
Price is true, but I will be the moves in the KRE ETF (US regional bank ETF), as well as watching the EFFR- IORB spread as this could be far more important for the USD and signs of increased risks in the financial system.
INFORMATIONAL : THE UPSURGE OF PROPRIETARY TRADING FIRMS
There has been a recent upsurge of CFD prop firms appearing. These prop firms offer traders the opportunity to trade with their capital and earn a percentage of the profits. But are these prop firms better than trading with a broker? And what are the risks and benefits of joining them? In this publication, we will explore these questions and more.
🔹What are CFD Prop Firms?
CFD prop firms are different from traditional prop firms in several ways. Traditional prop firms typically employ traders and give them access to proprietary trading tools and tactics as well as training and coaching. Contrarily, CFD prop businesses fund traders once they successfully complete a task or audition rather than hiring them. Typically, the audition entails paying a fee and achieving specific trading goals within a predetermined time span. A profit target, a maximum drawdown limit, a daily loss limit, and other risk management guidelines could be part of the trading objectives.
If a trader passes the audition, they will receive a funded account with a certain amount of capital, ranging from $10,000 to $1 million or more depending on the prop firm. The trader can then trade with the prop firm's capital and keep a percentage of the profits, usually between 50% to 80%. The prop firm will also monitor the trader's performance and enforce the same trading objectives as in the audition. If the trader violates any of the rules or loses too much money, they may lose their funded account or have to start over.
🔹Benefits of Joining a CFD Prop Firm
Joining a CFD prop firm gives traders access to more capital than they would otherwise not have, which is one of the key advantages. As a result, they may be able to trade more instruments, diversify their portfolio, and boost their earning potential. Another advantage is that the trader's downside risk is diminished because they are just putting their audition fee at danger and nothing more, not their own money. Additionally, certain prop companies provide extra advantages like coaching, education, community support, scaling plans, and bonuses.
🔹Drawbacks and Challenges of Joining a CFD Prop Firm
However, joining a CFD prop firm also has some drawbacks and challenges. One of them is that it can be difficult to pass the audition and maintain the funded account, as some of the trading objectives can be very strict and unrealistic. For example, some prop firms require traders to make a 10% profit within 30 days while keeping their drawdown below 5%. This can put a lot of pressure on traders and force them to overtrade or take excessive risks.
Some prop companies may not be transparent or reliable and may not actually supply real money to trade with, which is another disadvantage. Instead, they might run a Ponzi scheme or use the audition fees to distribute the earnings. Therefore, before joining any prop firm, traders should exercise due diligence and investigation. The repute of the prop firm, regulation, fees, profit splits, trading products, leverage, platform, customer support, and withdrawal procedures are a few of the variables to take into account.
Finally, another challenge is that having more capital does not necessarily mean being a better trader. Trading with more money can also increase the psychological pressure and emotional stress that traders face. Therefore, traders need to have a solid trading plan, strategy, discipline, and risk management skills before joining a prop firm. They also need to be realistic about their expectations and goals, and not rely on prop firms as a shortcut to success.
🔹Conclusion
In conclusion, CFD prop firms can be a viable option for traders who want to trade with more capital and earn more profits while limiting their downside risk. However, they also come with some challenges and risks that traders need to be aware of and overcome. Therefore, traders need to weigh the pros and cons of joining a prop firm versus trading with a broker based on their own circumstances and preferences. Trading with a CFD prop firm can be a great opportunity for traders who have a proven track record of profitability and want to leverage their skills to make more money. One of the main issues is that the CFD prop industry is heavily unregulated and lacks transparency and accountability. This means that traders may not have legal protection or recourse in case of disputes or frauds. Moreover, some prop firms may impose strict rules and conditions on their traders, such as high fees, unrealistic targets, or limited withdrawal options.
Therefore, before signing up with a CFD prop firm, traders should always conduct their due diligence and research. They should search for reputable and reliable prop companies that have a good track record, transparent terms and conditions, and equitable profit-sharing plans. Additionally, they should contrast various prop businesses and pick the one that best matches their trading preferences, objectives, and style. Additionally, traders should keep in mind that the best option to guarantee complete control and security over their trading activity remains opening their own trading account with a reputable broker.
Top 3 Pullback Trading StrategiesAs traders, we all know the market can be unpredictable, but by understanding and utilising pullback trading strategies, we can take advantage of temporary price reversals to enter positions at more favourable prices. In this article, we’ll dive into the world of pullback trading, explain the concept of mean reversion, and look at how to use tools like the moving average indicator and Fibonacci retracements to identify potential pullback levels.
What Is a Pullback?
In the past, you might have seen stock traders discussing their plans to wait for a pullback to load up on shares and wondered, “but what is a stock pullback?” In fact, pullbacks occur in prices of all tradable assets, including commodities and forex trading pairs, such as EUR/USD and AUD/USD, not just in stock prices.
A pullback refers to a temporary reversal in the price of an asset after a period of upward or downward movement. If you’ve ever heard of “correction” or “retracement,” these are just other terms used to describe pullbacks. It's where the price cools off slightly before continuing its overall trend, and it is often the result of profit-taking by traders and technical factors, like key areas of support and resistance.
Why Do Pullback Trading Strategies Work?
Trading pullbacks in trends plays into the notion that “the trend is your friend.” In other words, trading in the direction of the higher-timeframe trend will typically yield the best results. But why does this strategy work? The easiest way to think about it is in the context of “discount” and “premium” pricing.
Discount and Premium Pricing
Imagine you have a bullish trend, like the one in the example above. Here, traders run the risk of buying at one of the many highs that make up the trend, paying more for a single unit of an asset than is potentially necessary (paying a premium) and resulting in sub-optimal risk/reward. Given the premium pricing, the number of buyers will taper off until sellers take control and push prices lower.
Conversely, pullbacks allow traders to get in once the price cools off, meaning they can enter at a discount. At this point, buying pressure will be at its strongest as many know these low prices often won’t last and that they can offer much better risk/reward ratios, maximising the profit for traders from the overall bull trend.
Mean Reversion
This concept relates to the idea of mean reversion, which states that prices tend to return to their average over time. By entering a position during a pullback, traders can buy an asset at a lower price, or at a discount, with the expectation that the price will eventually return to its average.
Notice that in the chart above, for example, the retracements typically fall below the midpoint of the previous retracement and the 50-period moving average before continuing higher. Additionally, we can see that the further the price moves away from these two averages into areas of previous premium or discount, the more likely it is to reverse.
As you’ll see, these ideas form the basis for several commonly used pullback trading strategies. Understanding how the concepts work, however, will help you develop your skills as an effective pullback trader and allow you to trade under a variety of market conditions.
Using Pullback Strategies in Forex and Other Markets
The following strategies can form the basis of a solid stock pullback strategy, but their uses aren’t limited to just stocks. You can use them while forex trading or in the commodities and crypto* markets. Just note that pullback trading will be most effective in trending markets and less so in ranges.
To get the best understanding of how these strategies work, you can try applying them to live charts using the TickTrader platform.
Strategy #1: Moving Average Pullback Strategy
Using the principle of mean reversion, we can start putting it into practice with moving averages. Moving averages often provide ideal areas of dynamic support and resistance and are a versatile tool in any pullback trader’s arsenal.
Requirements: You can use a simple moving average (SMA) or an exponential moving average (EMA), which gives more weight to recent prices. It may be a good idea to try experimenting with both to see which one you prefer.
Traders often use a 21, 50, or 200-period moving average, so again, you can try experimenting to find the most suitable one for you. We’ll use a 50-period MA, expressed as MA(50).
Entry: First, a trend will need to have been set in motion. Traders usually either set a limit order at the moving average or enter with a market order based on price action that supports their idea.
Stop Loss: Stop losses are typically set above the high or below the low that originated the leg before the pullback, as seen in the example above. Given that these trends can last for a long time, you may trail your stop just above or below key swing highs and lows as the trend progresses.
Take Profit: Some traders begin to take profits at the high or low that originated the retracement, denoted by “Potential Target” in the example. So, when entering during a bullish pullback in an overall bear trend, traders can use the low that started the retracement as their first target. Subsequent levels of support or resistance are also commonly used as profit targets.
Strategy #2: Fibonacci Retracement Pullback Strategy
Using Fibonacci retracements is also a common way to find entries in pullbacks. Recall that the price will often cross above or below 50% of the retracement. Sometimes, it’ll reverse to the key Fibonacci levels of 0.618 and 0.786 in a larger bull trend or 0.382 and 0.236 in a bear trend. Don’t forget that 0.5 itself is a Fibonacci level.
Requirements: You just need the Fibonacci retracement tool that can be found in most charting software, like TickTrader. In a bullish trend, apply the first point to a swing low and the second to a swing high. Apply it to a swing high and low for a bear trend.
Entry: Entries here can be adjusted to your preferred style of trading. Some traders will simply set a limit order at 0.5, while others will place them at 0.786 or 0.236 to maximise risk/reward. Alternatively, you can break up your order into three, setting limits at 0.5, 0.618, and 0.786 to cover all bases for a bullish trade or 0.5, 0.382, and 0.236 for a bearish one.
Stop Loss: Like the Moving Average strategy, traders often put a stop loss above the high or low that originated the leg before the pullback. For instance, the second entry above would mean placing the stop at the 0.618 level of the Fibonacci retracement. You can also try putting stops above or below nearby engulfing candles for better risk/reward. Alternatively, you could choose to trail your stop below swing lows or above swing highs for bullish and bearish trades, respectively.
Take Profit: Some traders will start taking profits at the nearest major swing points, while others use the 1.618 extension of the pullback to set their profit target.
Strategy #3: Breakout Strategy
Finally, in markets where the overwhelming trend is too strong to allow for a deeper pullback, you may try to trade the breakout. In a bullish breakout, for example, the price might quickly back up to test the resistance-turned-support before shooting higher. Note that some breakouts are merely false breaks designed to trap traders and force prices into a deeper retracement - just look at the significant highs in the first picture in this article.
To counteract these traps, you can look for high volume on the movement that caused the break, as well as the close of the candle. Candlestick patterns, such as shooting stars and hammers, can typically signal false breaks.
Entry: After a bullish breakout above a recent swing high on high volume, traders will usually set a limit order at or just above the high or wait for price action to confirm that the high is now acting as support before entering with a market order. Conversely, traders will enter in the same way for a bearish breakout but use swing lows instead, setting orders at or just below the low or looking for price action confirmation to enter.
Stop Loss: Traders can choose to set stops below the range that the breakout occurred from or above or below an engulfing candle, like in the Fibonacci strategy.
Take Profit: As with the two strategies mentioned, some will just trail their stops above or below key swing highs and lows to ride the long-term trend and maximise their profits. Others choose to use the most recent swing high or low to take partial profits before closing their position at a suitable level of risk/reward.
Closing Thoughts
Pullback trading can be an effective strategy for traders looking to ride trends. By taking advantage of the concepts of premium/discount pricing and mean reversion and using technical analysis tools like moving averages and Fibonacci retracements, traders can get involved at optimum points in the market before the trend continues.
It’s also worth remembering that any pullback can signify a market reversal. Always be cautious and use these pullback strategies in conjunction with other forms of technical analysis before considering making a trade. Once you feel ready, you can try opening an FXOpen account to put your skills to the test. Happy trading!
At FXOpen UK and FXOpen AU, Cryptocurrency CFDs are only available for trading by those clients categorised as Professional clients under FCA Rules and Professional clients under ASIC Rules, respectively. They are not available for trading by Retail clients.
This article represents the opinion of the Companies operating under the FXOpen brand only. It is not to be construed as an offer, solicitation, or recommendation with respect to products and services provided by the Companies operating under the FXOpen brand, nor is it to be considered financial advice.
How To Strategically Plan Your TradesBy dedicating just a minute per pair you trade, we can ensure that you're well-prepared for the upcoming market opportunities. So, let's dive in!"
1. Start with the goal- to make money, lose no money at all, or lose a small portion of your trading account
Set yourself up for all 3
* this is based on the opportunity
- currency pair with the right market condition- don’t trade when the market is quiet
- What Timeframe has your money- focus on the timeframe you vibe with
- How long will it be before you enter the trade and exit the trade- everything is an estimation. Don’t stress forcing the trade. Let the money come to you
2. Prepare for trade planning: overview
- Sunday before the market opens- wake up, spend time with God, family, and then your charts
- Assess the past weeks performance and plan how you’ll trade for the upcoming week-
- Allocate 1 minute per pair to effectively strategize without spending excessive time over analyzing- be a quick decision maker
How to review the previous week price movement:
1. Analyze each trade you entered and note what trades were successful and what were not successful
2. Note if you made any mistakes. All losses are not mistakes.
3. Note if any of your pairs made new highs or new lows or consolidated
3. Strategize based on your edge- what you are good and fast at?
- Focus on the 1 or 2 strategies do you understand and can articulate well
Prioritize these strategies because they increase the likelihood of success and maintaining a clear plan.
- Focus on the currency pair that has the right market conditions to trade your methods
There are 6 market conditions
- conditions are environments like calm or violent weather
- focus on which conditions your strategy thrives best in.
* if the condition isn’t there, don’t trade that pair
4. Currency pair selection
- Don’t overwhelm your week trading ever pair on your watchlist if you trade more than 3.
- Focus on the pair that provides the favorable setup when everything aligns
- * trend, market condition, and the profitability
5. Setting entry and exit points
- your entry and exit go back to how well you can understand and articulate your strategy.
- My TMP strategy, the first step , T(trend) is designed to automatically show you where you’ll take profit and place your stop loss.
- Consider the steps you take to identify the trend and simultaneously plot your take profit and stop loss
- Consider then estimating where you’ll enter your trade
- My TMP strategy, M(market structure), is designed to automatically show you where you’ll enter your trade.
- Then place a pending order or know the exact candlestick you enter your trades on
Mindset shift really quick
- risk management is a way to protect your capital and optimize your profits
- Write what you’re protecting your capital from?
* your families financial peace
* Your financial peace
* Failing as a business
6. Journal your plan
- Trading view allows you to video your trades and publish them privately or publicly
- You can use an excel spreadsheet or notion
- Or a good old fashion notebook and pen
Congratulations! You've now learned a strategic approach to plan your trades every week, leveraging your edge and focusing on your two best strategies in favorable market conditions. Remember, dedicating less than a minute per pair can significantly enhance your trading preparation. By implementing these steps consistently, you'll be well-positioned for success.
Best of luck in your forex trading journey!
Like and share the post if you found this valuable and would like more written content like this.
Shaquan
Introduction to Reversal Bar Patterns: Part 1: Over the next few posts, we plan on reviewing single and multi-bar reversal bar structures. In proper context these are among the most important and informative of all tape features. They often mark important turns in the prevailing trend or the completion of a trading range. More practically, they can be utilized to position trades and stops against. These patterns represent easily recognizable change in a market’s supply/demand dynamic and signal that “something important just occurred!” In this piece, we cover the basics of reversal patterns. In coming installments, we will cover key reversals, selling climaxes, springs and upthrusts, and several other common reversal patterns.
There are two kinds of reversal patterns that draw my interest. The first is the reversal bar or pattern that occurs at or near the culmination of a long term trend. This category includes single bar patterns like buying and selling climaxes, and outside key reversal bars. These patterns are more reliable when traded in the context of overbought or oversold markets and mature trends.
The second is either a one or two bar reversal that occurs at the culmination of a pattern, particularly a trading range. Springs and upthrusts fall into this category. Springs and upthrusts are typically shorter term patterns that can mark new trends but are generally more informative to shorter term trades. All these patterns lose their efficacy in dull, low volatility / trendless markets except as an upthrust or spring to a very well defined lateral range.
There are also many common reversal / hook patterns that occur often in almost every trend. Generally, they occur on non-remarkable volume, do not occur near support or resistance confluences, and fail to display the range extension or volume expansion common to more reliable patterns. I tend to ignore these other than for their potential to set up potential short term trading opportunities.
The most reliable reversal bars and structures are characterized by: A significantly wider than normal price range, an open and close near the extreme of the bar/bars and significantly higher than normal volume in the context of the recent past.
Reversals often occur as a response to news that is in harmony with the prevailing trend. In other words, a bearish reversal in a bullish trend often occurs in conjunction with bullish news. The inability to continue the trend despite supportive fundamental news is a clear sign that the trend is in danger.
Most reversal extremes occur against an emotional backdrop. The fear of missing out (FOMO) entices breakout buyers and late trend followers to enter the market at non-advantageous prices. These late adapting weak handed entrants are less committed and generally have less capital than longer term strong handed early adopting entrants. As a result, their willingness to hold their trade is low, their stops are generally tight and vulnerable.
But the more important driver is traders stopping out of painful losing positions. The final convulsive wash out exhausts the available buying/selling power and allows a significant reversal of the existing trend. Important highs are not made until bad positions are flushed.
Oftentimes, the reversal from these structures is dramatic as the last needful buyer/seller has been forced out. But to be trusted, the structure needs to be tested. One of the hardest patterns in the world to trade is the V top or bottom where no test occurs.
Importantly for traders, reversal bar extremes mark a point beyond which the market should not trade. Initial stops placed just beyond the extreme of the reversal bar and moved higher or lower as the market progresses are generally secure. Reversal bars that occur outside a strong support or resistance are far less reliable than those occurring at or near a strong resistance zone or confluence.
The wider the price spread and higher the volume, the more reliable the signal. The best signals generally occur after prolonged trends.
In my experience, the earlier in the day the reversal pattern occurs, the better.
These patterns are fractal. They appear on charts of all perspectives.
The higher the perspective of the structure, the more important it is. In other words, a buying climax on the weekly chart is incrementally more important than the same structure on the daily.
Finally, like anything else, judgement needs to be developed around the patterns. There is no substitute for staring at thousands of charts. Very few patterns set up as they would in the textbook or in my examples, but the principles are generally consistent.
In our next post we will cover the specifics of Key Reversal patterns.
Good Trading:
Stewart Taylor, CMT
Chartered Market Technician
Shared content and posted charts are intended to be used for informational and educational purposes only. The CMT Association does not offer, and this information shall not be understood or construed as, financial advice or investment recommendations. The information provided is not a substitute for advice from an investment professional. The CMT Association does not accept liability for any financial loss or damage our audience may incur.
History: A Brief History Of Candlesticks Introduction:
An important tool in financial analysis, the candlestick chart has a long, illustrious history that dates back several centuries. Candlestick charts, which have their roots in Japan, have developed into a popular way to visualize price changes and market patterns. Lets explore the intriguing history of candlestick charts, with special attention paid to their development, importance, and ongoing relevance in contemporary finance.
Origins in Japan:
Candlestick charts have their origins in Japan, specifically the Edo era in the 18th century. This novel approach to charting price changes is credited to a Japanese rice dealer by the name of Munehisa Homma. The "God of Markets," Homma, used candlestick charts to study and anticipate changes in the price of rice. His ideas and methods were recorded in a book titled "Sakata Rules," which served as the basis for this distinctive graphic display of market data.
Munehisa Homma below
Candlestick Chart Components:
Individual "candles," each of which represents a distinct time period (such as a day, week, or month) in the market, make up the basic building blocks of a candlestick chart. The open, high, low, and close prices are the four main elements that each candle is made up of. The upper and lower wicks or shadows of the candle indicate the peak and low prices that were experienced during the specified time period, while the body of the candle symbolizes the price range between open and close.
Popularization and Spread:
Candlestick charts were mostly exclusive to Japan up until the 19th century, when a British trader by the name of Charles Dow worked to bring them to the attention of the West. During his tour to Japan, Dow, the co-founder of Dow Jones & Company and architect of the Dow Jones Industrial Average, learned about candlestick charts. He translated Homma's findings and added candlestick analysis to his own technical analysis techniques after seeing their potential.
Charles Dow below
Further Development and Modern Application:
In terms of pattern recognition and interpretation, candlestick charts have improved and expanded over time. Steve Nison, an American trader who popularized candlestick analysis on Western financial markets, deserves most of the credit for this development. Nison carefully researched and built upon Munehisa Homma's studies, adding new candlestick patterns and improving the way they were interpreted. His 1991 publication of "Japanese Candlestick Charting Techniques," which is now considered a classic, popularized candlestick charts among Western investors.
Steve Nison below
Today, traders, investors, and technical analysts utilize candlestick charts extensively across a variety of financial markets, including stocks, commodities, and currency. The visual depiction of price patterns and trends aids in spotting potential trend reversals, continuations, and market emotion, offering insightful information for making decisions.
Conclusion:
The development of candlestick charts is proof positive of the value of visual aids in financial analysis. Candlestick charts, which have its roots in Japan from the 18th century, have developed into a widely used and essential instrument in the world of trading and investment. These charts have been improved and adjusted for contemporary markets thanks to the work of pioneers like Munehisa Homma, Charles Dow, and Steve Nison, giving traders a thorough perspective of price movements and insightful knowledge about market dynamics. Candlestick charts are expected to keep guiding traders and assisting them in making educated judgments in the complex world of finance as time goes on.
Stop Losses: A Trader's Best DefenseIn a perfect world, every trade would go our way, but alas this is usually not the case. A stop loss is a risk management tool used by traders and investors to minimize their losses when trading. It is a predetermined price level at which a trader's position will automatically exit the market, causing the loss to be realized. Stop losses are crucial to any trading strategy, as they help traders limit their losses and stay disciplined. In this blog, we will look at what stop losses are, why they are important, how to set realistic stop losses, and five different examples of stop losses with a description of how to set the stop loss.
What are Stop Losses?
A stop loss is an order to sell a security when it reaches a particular price. It is a predetermined price level at which a trader's position will automatically exit the market, causing the loss to be realized. This means that if the price of the security falls to the stop loss level, the trader's position is automatically closed, and any losses incurred are limited to that level. Stop losses are essential because they help traders limit their losses and stay disciplined.
Why are Stop Losses Important?
Stop losses are important because they help traders limit their losses and stay disciplined. In trading, it is easy to become emotional and let your losses run. Stop losses help traders avoid this situation by automatically exiting the market when the price reaches a predetermined level. This ensures that losses are limited, and traders can move on to the next trade without being emotionally affected by the previous loss.
Setting Realistic Stop Losses
Setting realistic stop losses is crucial to any trading strategy. A trader needs to consider the volatility of the security, the trading style, and the risk-reward ratio when setting stop losses. The stop loss should be set at a level where the loss is acceptable but not too close to the current price level, as this may result in the stop loss being triggered prematurely. A stop loss should also not be set too far away from the current price level, as this may result in the trader losing more than they are willing to risk.
Stop Loss Examples
Below we will list five examples of setting effective stop losses. For consistency, we are going to use the same long stop loss example, but these same examples can be set for stop losses for short positions as well.
Percentage-Based Stop Loss: A percentage-based stop loss is a stop loss that is set at a specific percentage below the purchase price. For example, if a trader wants to place a long at $0.088602 and sets a 0.5% stop loss, the stop loss would be triggered at $0.88160. For a short stop loss at 0.5%, you would add the value instead and have a 0.89035 stop loss. To set a percentage-based stop loss, the trader needs to determine the percentage they are willing to risk and place the stop loss order at that level.
ATR-Based Stop Loss: An ATR-based stop loss is a stop loss that is set based on the average true range of the security. The average true range is a measure of volatility and is calculated by taking the average of the high and low prices for a particular period. To set an ATR-based stop loss, the trader needs to determine the number of ATRs they are willing to risk and place the stop loss order at that level. For a long stop loss, you would subtract the ATR times its multiplier from the current price. For a short-stop loss, you would add the ATR times its multiplier to the current price. The unique upside to this stop-loss style is the ATR accounts for market volatility which can aid your risk management and help set more appropriate stop losses.
Using Moving Averages or Super Trend: Moving averages and super trend are technical indicators that can be used to set stop losses. Moving averages are calculated by taking the average price over a specific period, while the super trend is a trend-following indicator that uses the average true range to calculate the stop loss level. To set a stop loss using moving averages or super trend, the trader needs to identify the period and place the stop loss order at the appropriate level. The Moving Average or Supertrend can then act as a moving stop loss as it trails the price.
1. Moving Average:
2. SuperTrend:
Donchian Channels: Donchian channels are a technical indicator that can be used to set stop losses. Donchian channels are created by taking the highest high and lowest low over a specific period and plotting them on a chart. To set a stop loss using Donchian channels, the trader needs to identify the period and place the stop loss order at the appropriate level. In the example below we use a more standard 20-period Donchian level to identify areas of lowest low interest that would be a good place for a stop loss. If we were setting a short order we would look to recent highest highs as potential stop-loss areas
Conclusion
Stop losses are crucial to any trading strategy, as they help traders limit their losses and stay disciplined. When setting stop losses, traders need to consider the volatility of the security, the trading style, and the risk-reward ratio. Stop losses can be set using many different techniques, including percentage-based, ATR-based, using moving averages or super trend, and Donchian channels. By setting realistic stop losses, traders can minimize their losses and stay disciplined, which is essential for long-term success in trading.
📊 Volume Profile: IndicatorsThere’s a reason why trading volume has been a standard indicator on every piece of charting software over the last 30 years… it provides a crucial edge.
Volume provides you with logical insight into the activity of market participants at varying price levels. Volume analysis helps traders to become more reactionary to price movements rather than trying to predict where price will go next, as is the case with most technical indicators.
📍Key takeaways about volume
Key takeaways about the normal volume indicator plotted on the X-axis in trading:
🔹Volume Indicator: The normal volume indicator measures the total number of shares or contracts traded during a given time period. It is commonly displayed as a histogram or line chart, with the X-axis representing time.
🔹Liquidity: Volume is a crucial metric as it provides insights into the liquidity of a security. Higher volume generally indicates greater market participation and liquidity, making it easier to buy or sell the asset without significantly impacting its price.
🔹Confirmation: Volume can confirm the validity of price movements. In an uptrend, increasing volume supports the bullish move, suggesting strength and conviction among buyers. Conversely, declining volume during an uptrend may signal weakness or lack of interest. The same principles apply to downtrends.
🔹 Breakouts and Reversals: Volume analysis is often used to identify breakouts and potential trend reversals. A significant increase in volume during a breakout suggests a higher probability of a sustained move, while decreasing volume near a support or resistance level might indicate a potential reversal.
🔹Divergence: Volume can reveal divergence between price and market sentiment. For example, if prices are rising but volume is decreasing, it could suggest that the rally is losing steam and a reversal may be imminent. Similarly, increasing volume during a price decline might indicate selling pressure and further downside potential.
🔹Confirmation of Patterns: Volume can provide confirmation or invalidation of chart patterns such as triangles, head and shoulders, or double tops/bottoms. Higher volume during pattern formations enhances their reliability, while low volume can cast doubt on the pattern's significance.
🔹Watch for Extreme Volume: Abnormal spikes in volume can indicate significant market events, such as earnings releases, news announcements, or institutional buying/selling. Unusual volume can lead to increased volatility and potentially offer trading opportunities.
🔹Relative Volume: Comparing current volume to historical average volume helps gauge the significance of the current trading activity. Higher volume relative to the average may imply increased interest, while lower volume might suggest a lack of conviction or reduced market participation.
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DOW THEORY OR HOW TECHNICAL ANALYSIS EVOLVEDSometimes it's useful to go back to the basics in order to fully comprehend the progress achieved. Today technical analysis is taken for granted, and very few people think about what is really behind the well-known market terms. The Dow Theory, and Charles Dow himself in particular, we can say, were at those very basics. In this case, at the present moment the postulates of the theory have not lost their relevance. How they can be applied in practical work on the market, particularly in Forex, is presented in today's post.
Dow Theory and Technical Analysis
At the beginning of the formation of financial markets there were no suitable automatic tools, and most of the work on the analysis was done manually for a long time. That's why you can notice a great attention to detail in the description of the theory, when nowadays many details are usually omitted.
A brief biography of Charles Dow
Dow's first job in the financial environment was as a reporter for the Wall Street news bureau. It was there that he met his partner, Edward Jones. Unlike most other journalists, their work was characterized by straightforwardness - Doe and his partner did not take bribes as a matter of principle. In 1882 Doe and Jones felt the need for a separate publication. So, they founded their own company, Dow Jones & Company, which at first issued daily financial reports.
Later the two-page booklet grew into a full-fledged newspaper, The Wall Street Journal, which is now one of the most authoritative publications in the financial environment. The publication's slogan stated that its main purpose was to tell the news, but not opinions. By 1893, there were many mergers taking place, which increased the proportion of speculation in the markets. At this time Dow saw the need for some indicator of market activity. Thus, he created the Dow Jones Industrial Average, which at that time was a simple arithmetic average of the prices of 12 companies (it now included the 30 largest U.S. companies). Dow drew attention to the fact that prices capture much more information than many people assume. That is, by analyzing prices alone, we can predict their future behavior with great probability, which eventually became the basis of his theory.
Principles of the Dow Theory
The Market Discounts Everything
Of course, the market cannot take into account events which, by definition, cannot be predicted. However, the price takes into account the emotions of participants, economic data of some companies and states, including inflation and interest rates, and even possible risks in case of unforeseen developments. This does not mean that the market or its participants know everything, even future events. This only means that all what has happened has already been recorded in the price, and any new information will also be taken into account.
On this basis, a huge number of technical indicators have been created, and today you can find an indicator for the analysis of literally anything. But while indicators are often used thoughtlessly, Dow analyzed the entire market, relying on the natural segmentation of market players.
An extreme reflection of his work is the industry and transportation indices. The very composition of the index plays an important role. It is not fixed and is periodically reconsidered taking into account changes of the situation on the markets. The essence is that shares of enterprises working in one field are analyzed. As a result, the index is in some way a closed system, where the major part of funds is distributed between the participants and does not go beyond the portfolio.
Three Market Trends
A straight-line market movement is a science fiction. In fact, price almost always moves in a zigzag pattern, forming characteristic ascending/descending highs/minimums. In other words, forming an uptrend or a downtrend. There is a major initial trend in the market. It is the most important to find out, because the basic trend reflects the real price movement direction, when all the lower trend levels depend on the basic one. The duration of the initial trend is from 1 to 3 years.
The most important thing is to determine the direction of the initial trend and trade in accordance with it. The trend remains in force, as long as there was no confirmation of its reversal. The price closing below the previous extremum, for example, can be a prerequisite for trend reversal.
So, the initial trend determines the main market direction. In turn, the secondary trend moves in the direction opposite to the main trend. In fact, it is a correction to the main trend. The secondary trend has one interesting characteristic - its volatility is usually higher than the initial movement.
The last, the smallest trend is nothing more than a secondary trend pullback. Such movement lasts no longer than one week. The classical representation pays the least attention to it. It is considered that there is too much price noise on this time period, and fixation on the smallest movements can lead to irrational trade decisions.
Trend phases
The next principle of the theory of Dow the phases of the trend formation:
The first phase is usually characterized by price consolidation. This is a period of market indecision, when the previous trend is at exhaustion. In other words, this period is marked by the accumulation of forces before the spurt and is also the most attractive entry point (although risky). As soon as the new direction is confirmed, the participation phase begins. This is the main trend phase, the longest of the three, which is also marked by a large price movement.
When the motivating conditions have been exhausted, the saturation phase begins. During this period, savvy players begin to exit positions as soon as there are signs of instability, such as increased corrections. This phase can be described as "irrational optimism", when the price may continue to rise by inertia, despite the lack of clear prerequisites.
Identification of trend movements
In order to identify both trends and reversals on a chart, it is necessary to understand the techniques used by Dow. The main technique in identifying reversals a sequential analysis of extremes. For example, in the picture, points 2, 4, and 6 mark the maximum of the upward movement, while points 1, 3, and 5 mark the minimum. An uptrend is formed when each successive top and trough is higher than the previous one.
A downtrend, on the contrary, is characterized by descending highs/minimums.
The Dow Theory states that until we get a clear signal for a reversal, the trend remains in force. Here we can draw a parallel with Newton's law of inertia, where a moving object tends to move in the intended direction until another force interrupts its movement. The formation of a lower minimum (5) within the upward movement is an obvious signal of the coming reversal.
In the case when the trend is directed downward, the situation is the opposite. If the price failed to form a lower low and still closed above the current high, it means that the market is influenced by a force opposite to the original movement.
Conclusion
The Dow Theory, as many hope, does not answer the question "how to enter the market at the stage of trend formation?" It is a long-term reversal strategy aimed at minimal risk. Nevertheless, the theory helps us better understand technical analysis in general, and why it works at all because price and is a derivative of all the factors affecting it.
Choosing Your Channel: Bollinger, Donchian, or Keltner?When it comes to trading financial instruments, traders have a plethora of technical indicators to choose from. Among these, Bollinger Bands, Donchian Channels, and Keltner Channels stand out as popular tools for analyzing price movements and identifying potential trading opportunities. Each of these channels has its advantages and unique methods of application. This blog will compare these three channels and provide examples of how each can be used, helping you decide which one is right for you.
I. Bollinger Bands
Understanding Bollinger Bands
Bollinger Bands, developed by John Bollinger in the 1980s, is a volatility-based indicator that measures the standard deviation of price movements. It consists of three lines: a simple moving average (SMA) and two bands that are typically set at two standard deviations above and below the SMA. The distance between the bands adjusts as volatility increases or decreases.
Using Bollinger Bands
Bollinger Bands are useful for identifying price movements and potential reversals. When the bands contract, it indicates low volatility, and when they expand, it signals high volatility. A common strategy is to look for a breakout or breakdown when the bands contract.
Example: If a stock's price has been trading within a narrow range, and the Bollinger Bands contract, a trader might anticipate a breakout or breakdown. If the price breaks above the upper band, it could signal a bullish trend, while a break below the lower band suggests a bearish trend. This breakout should be confirmed with other indicators such as the MACD or RSI.
II. Donchian Channels
Understanding Donchian Channels
Donchian Channels, developed by Richard Donchian in the 1960s, is a trend-following indicator that measures the highest high and lowest low over a set number of periods, typically 20 periods. It consists of three lines: the upper channel line, the lower channel line, and the middle line, which is the average of the upper and lower lines.
Using Donchian Channels
Donchian Channels are primarily used to identify potential breakouts and breakdowns. Traders often use the channels to assess the strength of a trend and determine entry and exit points. The Donchian cloud can be a great tool for establishing lines of support and resistance as the price makes higher highs and lower lows and conversely lower highs or lower lows.
Example: If a stock's price is consistently hitting highs, a trader might use the Donchian Channels to identify a possible breakout. If the price breaks above the upper channel line, it could signal a continuation of the bullish trend. Conversely, if the price breaks below the lower channel line, it may indicate a potential trend reversal. I typically look for a secondary lower high or higher lower to confirm a reversal and then confirm the breakout with an oscillator as seen in the example below.
III. Keltner Channels
Understanding Keltner Channels
Keltner Channels, developed by Chester Keltner in the 1960s and later modified by Linda Raschke, is a volatility-based indicator that uses the average true range (ATR) to measure price movements. It consists of three lines: an exponential moving average (EMA) and two bands set at a multiple of the ATR above and below the EMA.
Using Keltner Channels
Keltner Channels are effective for identifying potential trading opportunities during trending markets and can be used in conjunction with other indicators to confirm price movements. The Keltner Channel is a great tool for identifying overbought/ oversold conditions in a trend. This can help traders find better points of entry for a trade.
Example: A trader might use Keltner Channels to identify potential pullbacks in a trending market. If the price moves above the upper channel line during an uptrend, it could signal an overbought condition, and the trader might wait for the price to pull back toward the EMA before entering a long position. Similarly, if the price falls below the lower channel line during a downtrend, it might indicate an oversold condition, and the trader could wait for a bounce back toward the EMA before entering a short position. The trader should also verify the bounce with other indicators as shown below.
IV. BONUS: Keltner/Bollinger Bands Squeeze Strategy
Channels do not have to be exclusively used on their own. The Keltner/Bollinger Bands Squeeze Strategy is a powerful technique that combines the strengths of both Keltner Channels and Bollinger Bands to identify potential trading opportunities. By understanding the nuances of this strategy, traders can significantly enhance their trading arsenal and make more informed decisions in the market.
The Squeeze: A Sign of Consolidation and Potential Breakout s
The Keltner/Bollinger Bands Squeeze occurs when the Bollinger Bands contract within the Keltner Channels, indicating a period of low volatility or consolidation in the market. This "squeeze" can serve as a precursor to significant price breakouts, either on the upside or downside. By closely monitoring this pattern, traders can identify periods of market consolidation and prepare to capitalize on potential breakouts.
How to Implement the Keltner/Bollinger Bands Squeeze Strategy
To implement this strategy, traders should follow these steps:
Overlay the Keltner Channels and Bollinger Bands on your chart: Start by adding both Keltner Channels and Bollinger Bands to your preferred trading platform's chart. Ensure that the settings of both indicators are adjusted to your desired values.
Identify the Squeeze: Look for periods when the Bollinger Bands contract within the Keltner Channels. This signifies a "squeeze" and acts as a sign that the market is experiencing low volatility or consolidation.
Monitor for Breakouts: Keep a close eye on the price action during the squeeze. When the Bollinger Bands expand outside of the Keltner Channels, this indicates a potential breakout from the consolidation period. The direction of the breakout (upwards or downwards) will depend on the overall market trend and price action.
Enter the Trade: The Keltner/Bollinger Bands Squeeze Strategy can be further enhanced by combining it with other technical indicators, such as the Relative Strength Index, or Moving Average Convergence Divergence. These complementary indicators can provide additional confirmation of potential breakouts and help traders better gauge market conditions. Once a breakout is confirmed, traders can enter a trade in the direction of the breakout. It's essential to use stop-loss orders and manage risk appropriately since false breakouts can also occur.
Exit the Trade: Traders should establish a price target and exit strategy based on their analysis and risk tolerance. This can include setting a specific profit target, using trailing stops, or leveraging other technical indicators to determine when to exit the trade.
Conclusion
Bollinger Bands, Donchian Channels, and Keltner Channels are all valuable technical indicators for analyzing price movements and identifying potential trading opportunities. When deciding which one is right for you, consider your trading style, preferred timeframes, and the specific characteristics of the markets you trade. It's essential to familiarize yourself with each indicator and practice using them in combination with other tools to enhance your trading strategy. We have even shown that these channels can complement each other to form a more comprehensive strategy. Remember, no single indicator is perfect, and incorporating multiple tools can help you gain a more comprehensive understanding of market dynamics. Good luck and happy trading!
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100 Laws of Trading My experience.
I started trading futures over two years ago. During this time, I went through all the circles of trading hell. I searched for myself, selected my trading style, put together a trading system bit by bit. Merged. I accumulated personal experience, bit by bit collected information in books in order to get even a millimeter closer to understanding the market. Often came close to giving up.
But I did not give up and was rewarded.
All this time I have been collecting trading advice in a notebook, which sounded from the best professionals in the world, met in classical literature and was confirmed over and over again by my personal experience.
Over time, there were about a hundred such laws, and I decided to call the notebook in which I wrote them down - the Trader's Bible.
For a professional, these are banal and obvious things. For a beginner - a lifeline. Rope to grab onto. Road signs on a busy highway. What I missed so much in the beginning. How much money, time and nerves I would save if I had this notebook two years ago ...
Today I want to share this experience and give you some motivation if you almost gave up. You will definitely succeed.
“It doesn't really matter if you're right or wrong. What matters is how much money you make when you're right and how much money you lose when you're wrong."
J.Soros.
Law 1: Never average a losing trade.
Even if it looks like it's about to unfold. Even if the deposit allows. Even if nine times averaged and earned. One day, the tenth time will come and take all your money. He will definitely come.
Law 2. Cut losses short. It's better to log in again.
Law 3. Never enter a trade without a stop loss. If you are a beginner, do not rely on your endurance and reaction. This habit will save you more than once, trust me.
Law 4. A professional differs from a beginner in the ability to wait for a favorable alignment. Do not rush. There is an endless stream of chances ahead, some of which will be quite obvious.
Law 5. Do not trade on quiet days and low volumes. Leave this time for rest and self-education. You don't have to trade every day.
Law 6. Do not rely on media forecasts, bloggers and "traders" in the comments. This is either manipulation, or outdated information, or personal interpretation of events. Observe information hygiene and learn to think for yourself. Believe me, those who really have significant information do not shoot videos on YouTube and do not argue in chats.
Law 7. To make money in the market, it is not necessary to know what will happen next. Anything can happen. This is the hardest thing to understand, but it is this kind of thinking that will lead to the result.
Law 8. All you need to make money on the stock exchange is one working model. Do not spray on a hundred techniques and systems. It's not about quantity. Find your working pattern and hone it. He will ensure your old age.
Law 9. The result of each individual transaction is random. No matter how good your analysis is, it guarantees absolutely nothing. Get into the habit of uncertainty. You can be wrong ten trades in a row even with the right analysis. And it shouldn't ruin you.
Law 10. The market can stay irrational longer than you can pay. Get out of your head the desire to deceive the market. Martingales and other “grails” shake generations of traders out of their pants. You won't be an exception, don't even check.
Law 11. After a losing trade, do not dare to recoup. Treat trading like a business, not like playing cards with a friend. Controlled loss is part of this business. Upset, angry? Turn off the exchange, go to the gym - bring the body to exhaustion. Tomorrow there will be new opportunities.
Law 12. Madness is doing the same thing over and over again in the hope of a different result. Don't repeat the same mistake twice. Write it down. Analyze. Draw conclusions.
Law 13. Do not count and do not look forward to profit in advance. Better think about how much you can lose on this trade, it's sobering. Don't count money in trading at all. All analysis is carried out as a percentage of the deposit. This will relieve stress and distract from unnecessary reflection.
Law 14. To begin to succeed, one must almost despair. Almost. But take one more step.
To be continued.
The other side of the tradeTrading has this stigma attached to it, everyone thinks they can come and make their millions. The reality is, 90% of new traders lose 90% of their funds in 90 days.
I've talked for years about the negative side of trading (trust me, I've done this over 20 years) Trading is often perceived as a wonderful, fabulous lifestyle. Cars, yachts, jets and women! Probably fueled by films like the Wolf of Wall Street. But not many people like admitting to the other side of the traders lifestyle. Of course, it's nowhere near as glamorous - it sure as hell won't get social media likes or follows. But it's there and it's real!
There are a couple of main points that I want to touch on, especially for you newer traders coming to find your fortunes.
1) Trading can be boring! Yes, boring as shait. If you are used to having a 9-5, you do not realise the effects (good and bad) on having human interaction throughout the day. You might have a partner you live with, the family. But what about when they go to work or school? You are left with your own thoughts. Yes, this can be dangerous!!!
The issues can include lack of motivation, uncertainty in what to do, overthinking. On your bad days, you have nobody to comfort you and on your good days, you have nobody to share the excitement with! Joining communities can be a good fix here, providing you find a good one. This doesn't have to effect your trading, your strategy or anything else - but interaction could save you from the loneliness.
The solitary nature of trading can sometimes lead to feelings of isolation and loneliness. Without the support and camaraderie of others in a similar field, it can be challenging to share experiences, discuss strategies, or seek advice. Additionally, the pressure and stress of making high-stakes financial decisions can further contribute to a sense of isolation.
2) STRESS - Stress is a huge factor for a trader. Stress could also stem from the loneliness, stress when dealing with finance is an area where a lot of people suffer, traders and non traders alike. The issue is for traders, stress is often self inflicted.
Most new traders come to the market with a view of it's easy, fast paced, exciting and therefore have the perception of making it big.
If it was this easy, people wouldn't spend 7 years becoming doctors or lawyers. Instead they would follow the money! Come on, who wouldn't - Yachts n all.
It's this popular belief that usually drives traders into the stressful state which becomes the norm until they give up!
To counter the loneliness and try to make it big, traders (probably you) I know I did! look at indicators, try to take on as much info as possible! Which takes you down this path.
Indicators. there must be a holy grail, a silver bullet? 100% winning strategy? People waste so much time on retail indicators thinking they will be the one to find the edge. You would be better off having a trip to Vegas and playing the first slot machine you spot!
The next issue is - too much data or the attempt to obtain too much of it! I remember when my setup matched this below (if not more screens)
This is like trying to read 9 books at the same time whilst writing essays in 6 different languages. All of these factors will 100% add to your stress.
You might have anxiety when executing a trade, or feel the burden of stress whilst in a trade. Scared to see the numbers go red and too eager when they go green?! Yup been there, done that. So has every trader out there.
Stop feeling like this.
Creation of a strategy...
All you need to help combat these types of stresses, is find an edge. The edge could be very simple - from reading books, stepping away from the charts, viewing higher time frames, moving away from social media influencers. All the way through to mastering one instrument.
When you see indicators like the image above, what happens if two are in one direction and the rest in another? You start to argue with yourself, you miss good trades and you end up taking bad ones. This leads to stress and then you realise, yup your lonely!
What a cycle to be trapped in!
Now how about you flip the thinking here? Less charts to stare at, less indicators to confuse, more time to read, exercise or simply go play golf. Your edge does not need to be technical, fancy or shown on 48 screens.
I talked about this in the Tradingview live show the other evening.
Here's the link: www.tradingview.com
Sometimes less is more and this can combat the stress and golf is always a winner for loneliness.
Disclaimer
This idea does not constitute as financial advice. It is for educational purposes only, our principle trader has over 20 years’ experience in stocks, ETF’s, and Forex. Hence each trade setup might have different hold times, entry or exit conditions, and will vary from the post/idea shared here. You can use the information from this post to make your own trading plan for the instrument discussed. Trading carries a risk; a high percentage of retail traders lose money. Please keep this in mind when entering any trade. Stay safe.
HOW TO IDENTIFY ORDER BLOCKSHello traders! Today we are going to look at the pattern Order Blocks, what this pattern means and how to trade it.
✳️ What is Order Block?
The largest (from open to close) closest bearish candle to support before a strong impulsive bullish move (last sell candle before the buy candle). The last falling candle before the impulse growth. The high of this candle must be broken by the next candle to confirm it is an order block.
The largest (from open to close) closest bullish candle to resistance before a strong impulsive bearish move (the last buy candle before the sell candle). The last rising candle before the impulsive decline. The low of this candlestick must be broken by the next candlestick to confirm that it is an order block. Order blocks are those areas/zones where financial institutions have manipulated the price and where some of their orders are in drawdown. This "footprint" they are leaving is clearly visible in the order block. Price will usually return to these areas and we will react to this in some way. Order block is a sign of big players in the market.
✳️ The idea behind the pattern and why it works
The movements triggered by big players leave open positions which must be closed. And in order to do that, the price has to test those levels.
Smart money works according to certain algorithms, and we are trying to make money on this. Behind these candlesticks are financial institutions: they deliberately move the market, themselves falling into a drawdown, so they need to return the price to the order block with an imbalance, to reduce losses (to return their open positions to breakeven levels).
Why not close manipulative positions earlier? There is no one to cover them.
When we close large positions, the price automatically moves in the direction of the order block, and it is convenient for the large capital to close the previous manipulated positions, which causes a bounce which we want to jump into. In other words, we find a liquidity gathering point and wait for the return to it.
Order Block is a level to enter or exit.
✳️ Order Block Trading Strategy
Mitigation is a test of a supply/demand area. In our case a block of orders. Closing of old manipulative positions.
1) We are looking for a block of orders.
2) Were the stops pulled out (collecting liquidity, breaking through the obvious highs and lows)? If no, then it is not an order block, let it go. You are not sure? Do not enter.
3) If yes, we consider entering.
A bullish block of orders:
We enter - on price returning to this candle (at least to the high).
Stop - for low.
Take - the nearest level.
A bearish block of orders:
Entry - on the return of the price to this candle (at least to the low).
Stop - behind the high.
Take - the nearest level.
Each Order block can be tested only once.
Trading with the ADX: Identifying Entry and Exit PointsIn the previous post, we discussed the basics of the Average Directional Index (ADX), a popular technical indicator used by traders to determine the strength of a market trend. In this continuation, we will dive deeper into the ADX and explore various strategies for identifying entry and exit points in a trade. By understanding these tactics, you can enhance your trading skills and make more informed decisions.
1. Using ADX and DI lines crossover
One effective way to trade using the ADX indicator is to observe the crossover of the Directional Indicator (DI) lines. The DI lines consist of the Positive Directional Indicator (+DI) and the Negative Directional Indicator (-DI). When the +DI line crosses above the -DI line, it signals a potential buying opportunity. Conversely, when the -DI line crosses above the +DI line, it indicates a possible selling opportunity.
It's essential to remember that the ADX only measures the strength of the trend, not its direction. Therefore, traders should combine the ADX and DI lines to make better trading decisions.
2. ADX level and trend strength
The ADX level can help traders determine the strength of a trend. Generally, an ADX value below 20 indicates a weak or non-existent trend, while a value above 20 suggests a strong trend. When the ADX rises above 20, it may be an opportune time to enter a trade in the direction of the prevailing trend. Conversely, when the ADX falls below 20, traders should consider exiting their positions as the trend weakens.
3. ADX slope and momentum
Another useful aspect of the ADX indicator is its slope. A rising ADX slope indicates that the trend is gaining momentum, offering a potentially favorable entry point. On the other hand, a declining ADX slope suggests that the trend is losing momentum, signaling a possible exit point.
To trade using the ADX slope, traders can apply a moving average to the ADX line. When the ADX line crosses above the moving average, it signifies increasing momentum and a potential entry point. Conversely, when the ADX line crosses below the moving average, it indicates decreasing momentum and a possible exit point.
4. Combining ADX with other technical indicators
The ADX works best when paired with other technical indicators, such as moving averages, Bollinger Bands, or Relative Strength Index (RSI). By combining these tools, traders can gain a more comprehensive understanding of market conditions and make more informed decisions.
For example, traders can use moving averages to determine the trend's direction and the ADX to gauge its strength. If the price is above the moving average and the ADX is above 20, traders might consider entering a long position. Conversely, if the price is below the moving average and the ADX is above 20, traders may consider a short position.
Conclusion
The ADX is an invaluable tool for traders, helping them identify the strength of market trends and potential entry and exit points. By understanding the various strategies discussed in this post, traders can enhance their trading decisions and potentially increase their success rate.
Remember that no single indicator guarantees success, and it's essential to combine the ADX with other technical analysis tools and sound risk management practices. With proper application and a disciplined approach, the ADX can become an indispensable part of your trading toolbox.
Tradingview Volume toolsI've been using Tradingview for just over 8 years now. When I initially started using it I was transitioning from using Footprint tools. I would use techniques that in essence allowed you to see inside a candle. Coupled with techniques such as "DOM" Depth of Market and Cumulative Delta. After a while you get to see some of this stuff without the need of indicators.
Tradingview have steadily added various tools to the platform and with a little help from being able to code your own tools it's made it an interesting space to play.
So here's a quick overview on the abilities, encase you have yet to explore. This is not a lesson on volume as such, just educating you as to what the possibilities can be.
Most would have seen or at least know about the volume on the X axis.
This simply gives an idea of the happening of that particular candle, of course things can alter or yield different results based on settings and time frames.
we've taken the time to incorporate this simple volume in one of our own indicators. Which is coupled with a Stochastic and a few other bits.
It can also be used standalone for spotting divergence for example. You can see how the volume up and price up yet in the third price move up, volume has lowered.
There are also various styles of showing this volume data - one such tool is Weiss waves.
These are great in conjunction with techniques such as Elliott Waves and Wyckoff. I've shown this over the last two years here on TradingView and both of these techniques have been very useful on Bitcoin during this time.
I mentioned CVD the cumulative Volume Delta, here you can see this under the Weiss Wave indicator. Like I said, have a play around with these on your own charts. You will spot some interesting things once you get to know them. Try various instruments as well as timeframes.
More recently I posted a video on using Chat GPT to build a pinescript indicator. Here's the link to that post.
Well, I've taken that a few steps further.
What started as an idea in terms of using Footprint, X axis volume and then what's called periodic volume profile. I personally like to turn the bars/candles off when I got this on.
Here's another view - this is the session volume profile and periodic volume combined without the candles being visible.
This new indicator extracts various pieces of data and paints key levels based on my old trading style. As you can see today, this is showing like a magnet where the key levels in Bitcoin are likely to be. There's a bit more to it than that but in essence, its what I am showing here.
To finish with you have two other tools here on Tradingview - one which is fixed range volume, just as it says on the tin. You can see volume inside a range you determine.
I have used a low and a high here to find the PoC - Point of Control.
Then finally, you have visible range; this I tend to use less personally, but I know many people like it. This allows you to view the volume profile based on what you have visible on the chart. As you can imagine, as you zoom in n out, it can change.
Like I said, this is not a lesson on each tool - it's an intro to, for you to spend the time to play around with these tools. Feel free to ask questions below.
Enjoy the rest of the week!
Disclaimer
This idea does not constitute as financial advice. It is for educational purposes only, our principle trader has over 20 years’ experience in stocks, ETF’s, and Forex. Hence each trade setup might have different hold times, entry or exit conditions, and will vary from the post/idea shared here. You can use the information from this post to make your own trading plan for the instrument discussed. Trading carries a risk; a high percentage of retail traders lose money. Please keep this in mind when entering any trade. Stay safe.