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The best trading setup with Entry!In this model, we observe a market that begins to consolidate before a sharp decline, during which liquidity is created with an imbalance. Immediately after, there is an upward movement with rising highs and lows, forming a bullish liquidity trendline. When the price reaches a point where it starts to consolidate, dual liquidity is generated on the buy side in the upper part of the consolidation. Subsequently, a false upward movement occurs, during which the price gains liquidity from the previous order block created by the initial sharp decline. This creates an excellent opportunity to enter a short position, with the aim of reaching the minimum of the main decline. Updates will be provided with an example applied in a real case study. Greetings and happy trading to everyone from Nicola.

Education

by Forex48_TradingAcademy

Choch Entry & Liquidity Model | Trading Strategy Introduction: The trading strategy "Choch Entry & Liquidity Model" has emerged as an innovative model in the financial domain, focusing on market entry and liquidity. This approach is built upon key principles aimed at maximizing returns and effectively managing risk. Fundamental Principles: The strategy relies on an entry approach known as "Choch Entry," which is presumed to provide precise trading signals based on specific indicators. This method aims to capture significant price movements through a detailed analysis of market data. Liquidity Management: Another distinctive element of this strategy is its focus on liquidity. The "Liquidity Model" seeks to optimize order execution, ensuring that the strategy can enter and exit the market efficiently, minimizing slippage and price impact. Practical Implementation: The practical implementation of this strategy requires a thorough understanding of financial instruments and indicators used in the model. Traders must be able to adapt the strategy to changing market conditions and constantly monitor key variables to make informed decisions. Risks and Challenges: As with any trading strategy, it is crucial to understand the potential risks and challenges associated with the "Choch Entry & Liquidity Model" strategy. Market volatility, sudden changes in economic conditions, and other factors can influence outcomes. Conclusions: The "Choch Entry & Liquidity Model" trading strategy represents an intriguing approach that combines targeted entry with careful liquidity management. Its effectiveness depends on the trader's proficiency in consistently and flexibly applying key principles, adapting them to the changing dynamics of the market.

Education

by Forex48_TradingAcademy

Master Candlesticks: The key trading success!Here's an analysis of various candlestick patterns commonly used in technical analysis of financial markets: Dragonfly Doji: This candlestick has a small body with a long lower shadow and no upper shadow, indicating significant price exploration lower but closing near the opening price. It is often interpreted as a signal of a potential bullish reversal. Morning Star: A bullish reversal pattern that forms in a downtrend. It consists of three candles: a long bearish candle, followed by a shorter candle signifying uncertainty, and a third long bullish candle. Doji: The Doji is a candle with a very small body, indicating that the opening and closing prices are nearly equal. This pattern reflects market indecision. Three Bullish Candles: This pattern consists of three consecutive bullish candles, often interpreted as a strong bullish signal, especially if it occurs after a downtrend. Three Bearish Candles: Opposite to the Three Bullish Candles, this pattern shows three consecutive bearish candles and can indicate a strong bearish signal. Bullish Engulfing: A two-candle pattern where a bullish candle follows and completely "engulfs" the body of the preceding bearish candle. It indicates a potential trend reversal to the upside. Hammer: This candle has a small body and a long lower shadow, indicating that the market has rejected lower prices. It's considered a bullish reversal signal. Gravestone Doji: Similar to the Dragonfly but with a long upper shadow and no lower shadow, suggesting that prices rose but were then rejected, often interpreted as a bearish reversal signal. Hanging Man: This candle resembles a Hammer but occurs at the top of an uptrend, suggesting that bearish pressure is starting to emerge. Morning Doji Star: A variation of the Morning Star, where the middle candle is a Doji. This pattern further strengthens the indication of a potential bullish reversal. Each of these candle formations provides valuable insights into market sentiments and potential trend reversals. However, it's important to use them in conjunction with other forms of technical analysis for greater reliability. Have a nice trading day.

Education

by Forex48_TradingAcademy

10 Rules for Successful Trading 1. Study. Learn how financial markets work. Years ago I took Khan Academy's free courses on the financial markets. It really helped reinforce what I already knew, taught me new stuff and solidified my confidence in understanding how the financial markets work. Here's the link: www.khanacademy.org Learn the basics of Technical Analysis. For this part I read "Technical Analysis of the Financial Markets" by John Murphy. I read the whole book not once, but twice, and I constantly refer to it to refresh my memory. You can also get the supplemental workbook to do exercises and test your proficiency. Link: www.amazon.com Learn the basics of Macroeconomics and Microeconomics. Khan Academy also provides excellent free courses in this subject area with quizzes and tests to confirm your proficiency. This part is important for understanding the big picture. Link: www.khanacademy.org 2. Develop a trading plan. Write out your trading plan step-by-step and follow it every time. If you don't do this, you won't be consistently profitable in the long term. Never trade on a whim, even if you fear missing out on a big move. I would rather miss out on a big move up because I took the time to develop a plan than jump in without a plan and experience a big move down. Here's a good resource for how to develop a trading plan: www.ig.com 3. Find a trading mentor. Find someone who is more experienced than you and learn from them. I was able to connect with a very experienced trader here on Trading View with whom I share watchlists and get trade ideas from. We chat regularly and confirm or critique each other's ideas. Having a trading mentor has been invaluable to my trading. It's important to find someone who is trustworthy and competent, and willing to critique your trading ideas. Often we as traders only see what we want to see in the chart and miss or ignore obvious clues that go against our theory. For example, what one person sees as a triple bottom (bullish) another person may see as a bear flag (bearish). Another way to learn from other traders is to subscribe to traders who post high-quality content on Youtube. I subscribe to a few great trading Youtubers who give me all kinds of insights. My trading has definitely improved because of learning from other traders. With this said, don't go overboard. Find just a couple of good people to follow. You don't want to follow dozens and dozens of traders as you will suffer from information overload. 4. Manage risk. Preserving your capital is necessary to stay in the game, so you need to manage risk. No matter how good your charting may be, some of your trades will go against you and will need to get out. That's why I always use stop losses and get out of a trade at a certain predetermined level. Stop losses always limit loss, but do not necessary limit profit. This in turn allows you to only be right half of the time (or in some cases even less) and still be profitable. The topic of stop losses actually warrants it own discussion. In the future, I will be writing a post on how to place your stop losses. Other risk management strategies include: limiting the amount of margin you use, only risking a certain percentage of your portfolio on any given trade, and diversifying your portfolio. A key difference between trading and investing is that investing does not (typically) employ stop losses. Long-term investors typically manage risk by using diversification. 5. Be humble. Check your ego at the door. It does not matter if you're right. The only thing that matters is your money. Never stay in a trade because you don't want to admit that you were wrong. I've seen plenty of charts that looked amazing and then a black swan event happens. Perhaps one of the best ways to think about it is to consider this paraphrased statement from the legendary trader Larry Williams: "Regardless of past performance, never forget that every new trade you make only has a 50% chance of success." I have seen some Trading View users who are completely consumed by pride and post their win rates and super high-profit percentages. I steer clear of these traders because they fail one major rule of good trading: staying humble. Past performance is not a guarantee of future performance. 6. Keep a journal. This one is very important. Whenever I learn something new about trading, I write it down in a trading notebook. Whenever I make a mistake, I write down what went wrong and what I learned from the mistake. My trading notebook contains my strategies both for bear markets and bull markets, contains the steps for my daily routine, contains my screener criteria, and contains a listing of all the important things I've picked up over the years of trading. 7. Track your assets. Employ some kind of a method for tracking your performance. Even though it's time-consuming, I use a spreadsheet. 8. Avoid speculation. Never trade based on speculation or emotion. Never buy or sell an asset because of fear (whether fear of a market crash or fear of missing out on a huge rally). Never enter into a position simply because you like the company, and similarly do not avoid selling your position because you love the company too much. The most successful traders are rigorously unemotional and unattached. In my opinion, I define anything that does not involve an analysis of data as speculation. I have also come to learn that by the time everyone is talking about something, it is usually at peak mania and will not go up further. For example, when your co-worker or close friend is talking about how much they made from Bitcoin, it's probably time to sell. Similarly, if you see everyone on social media posting photos of how much it costs to fill up their car with gas, it probably means we're at the peak of gas prices. 9. Learn how to use your charting platform. One of the best things I ever did to master my charting was to spend a few weeks doing nothing but just learning all the features on Trading View. When I first signed up for Trading View I was overwhelmed by all the tools, indicators, strategies, and ideas on here. So I knew I had to take a timeout from trading and just learn the tools first. For several weeks rather than focus on trading, I focused on learning Trading View. I favorited indicators that work best for my strategy, I created layouts and explored every nook and cranny on the platform. Trading View is incredibly powerful because it provides access to so much data. Having access to data is power. By taking the time to learn how to use all of its tools, I was able master the financial markets to a degree that I can now make predictions just good as those high-paid Wall Street analysts. Your subscription will pay for itself through the profits you make. 10. "Look first. Then leap." Always chart out your entry point, stop loss, and profit target before entering a trade. Ask yourself: How much risk am I willing to take for how much profit? Here's a great resource from Investopedia that inspired this post: www.investopedia.com This list of good trading rules is nowhere near comprehensive, so please leave a comment below to share your rules and tips for successful trading!

Education

by SpyMasterTrades

Updated

HOW-TO apply an indicator that is only available upon request?Recently, I've realized that my typical day involves constant encounters with indicators. For example, when the alarm clock rings, it's an indicator that it's morning and time to get up. I am checking the phone and once again paying attention to the indicators: battery charge and network signal level. I figure out in just one second that such a complex element of the phone as the battery is 100% charged and the signal from the cell towers is good enough. Then I’m going out on a busy street, and it's only because of the traffic light indicator that I can safely cross the road to reach the parking lot. Looking at the on-board computer of my car, with its many indicators, I know that all the components of this complicated mechanism are working properly, and I can start driving. Now, imagine what would happen if none of this existed. I would have to act blindly, relying on luck: hoping that I would wake up on time, that the phone would work today, that car drivers would let me cross the road, and that my own car would not suddenly stop because it ran out of gas. We can say that indicators help to explain complex processes or phenomena in simple and understandable language. I think they will always be in demand in today's complex world, where we deal with a huge flow of information that cannot be perceived without simplifications. If we talk about the financial market, it's all about constant data, data, data. Add in the element of randomness and everything becomes totally messed up. To create indicators that simplify the analysis of financial information, the TradingView platform uses its own programming language — Pine Script . With this language, you can describe not only unique indicators, but also strategies — meaning algorithms for opening and closing positions. All these tools are grouped together under the term "script" . Just like a trade or educational idea, a script can also be published. After this, it will be available to other users. The published script can be: 1. Visible in the list of community scripts with unrestricted access. Simply find the script by its name and add it to the chart. 2. Visible in the list of community scripts, but access is by invitation only. You'll need to find the script by its name and request access from its author. 3. Not visible in the list of community scripts, but accessible via a link. To add such a script to a chart, you need to have the link. 4. Not visible in the list of community scripts; access is by invitation only. You'll need both a link to the script and permission for access obtained from its author. If you have added to your favorites a script that requires permission from the author, you'll only be able to start using the indicators after the author includes you in the script's user list. Without this, you will get an error message every time you add an indicator to the chart. In this case, contact the author to learn how to gain access. Instructions on how to contact the author are located after the script's description and highlighted within a frame. There you will also find the 'Add to favorite indicators' button. The access can be valid until a certain date or indefinitely. If the author has granted access, you will be able to add the script to the chart.

Education

LONG Strategy I Use With The Logical Trading Indicator V.1 In this post I want to explain how I use the Logical Trading Indicator V.1 that I published as a community script here on TradingView. The following strategy is what I use on a daily basis with a number of different assets, primarily crypto and FOREX, but can work with just about any asset with a chart. This post is not specific to one particular timeframe, but I made the chart on the 1HR as that is the timeframe that the default settings were keyed in on. It is based on a LONG strategy. A SHORT trade would be just the opposite, which I will also make a post about as well. When I sit down to the charts, I set my alerts so the indicator tells me when to trade so that I can go about my day and make my moves with the alerts hit. This keeps me with a mechanical strategy that I can use to help keep my emotions out of the trade. Steps I take to prepare for a LONG trade: STEP 1: Set alert and watch for a bullish cross of the basis line. This indicates that the trend is changing and to be on the lookout for momentum change as well as the BUY signal. STEP 2: Set alert and watch for the next BUY signal. This happens when the price is above the basis line and the ATR meets the multiple set in the settings. So by default it is set to 2x multiple. So when the price jumps 2x the ATR figure, that means we are getting some serious bullish momentum and it is time to enter a long trade. STEP 3: Although this indicator works on a trailing stop loss strategy, it's always good risk management practices to set what I call an emergency stop loss. This protects your capital in-case everything just goes wrong. I set my emergency stop loss inside or just to the outside of the lower bollinger band range. This gives your trade room to move and go in the direction that it is indicating, but protects you incase the market turns quickly and you aren't paying attention. STEP 4: Set alert and watch for Take Profit signals. This happens when the price closes inside the upper bollinger band range, which also indicates an 'overbought' range similar to an RSI. The signal fires when the next candle closes below the band. This let's you know the momentum has changed and it could be a great time to take at least 50% or more of your position off the table. STEP 5: Set alert and watch for a bearish cross of the basis line. This indicates that the trend is starting to change and is when I usually close out the rest of the trade. STEP 6: You can set an alert to let you know when the SELL signal fires. This is the absolute LAST chance to get out in profit. This is the trailing stop loss signal that is built into the indicator. With my particular strategy, I am usually out of the trade at this point, but if I didn't get a chance to do anything when I got the bearish basic cross, I am definitely closing everything out when I see that SELL signal. This is also when you could be looking into flipping bearish and taking a SHORT trade, then it's just the opposite. I hope this helps answer some questions that people might have about how to use the Logical Trading Indicator V.1!

Education

by thelogicaldude

Option Trading Option Trading work based on a contract that gives the buyer the right to buy or sell a certain asset, at a predetermined price (strike price) within a certain time period. A very simple task, but is there a clear technical analysis method that can provide consecutive wins? This post is not trading advice, just a statistical hypothesis test. I will try in 100 candles, and stop if the win rate is below 70% If you are an options trader, or are interested in learning the system I use, please follow this post.

Education

Deep dive into SmartBot strategy [Skyrex]Overview The system is designed to continuously monitor assets price movements, identifying formation of bases, and providing alert notifications when these bases and/or layers are either breached or adhered to. System settings are adjusted by machine learning model applied to historical price action data. Release Notes These major features and enhancements were introduced since the first launch of the system in November 2021 Enhanced script efficiency for faster compilation and integration; Introduced a "Layer Settings" section for customized layer configurations; Added options for setting a take profit percentage; Exchange commissions implemented into statistic calculations; Implemented a new "Take Profit" plot series, including a data point in the data window, to facilitate trade closure at the current base line; Added a plot series to display emerging bases during active trades on the current base line; Introduced an option to make custom early trade exits including after reaching breakeven; Implemented a setting for enhanced trade exit strategies; Adjusted the minimum layer value for Layer 1 to exchanges’ “minNotional” filter; Modified the start month condition to a calendar month basis for improved initial rendering of base lines; Consolidated all "Layer # Cracked" and "Layer # Respected" X-crosses into a unified "Layer # Cross" set to streamline the Data Window list; Eliminated base/layer line shifts to the Base Marker to simplify chart rendering calculations; Added option to set custom exit conditions at each Layer; System is rebuilt from PineScript programming language to Python using libraries: TA-lib, python-binance, CCXT, scikit-learn; Implementation of Machine Learning based on scikit-learn; Added Bayesian classifier and obtain the corrected indicator’s values; Implemented labeled Elliott wave data once a month for additional model training; Enhanced Signal Issuance Module based on Python 3.10, making decisions based on model predictions, and sending trading signals according to the second-level trading strategy algorithm, implemented using the TA-lib library, in the form of a JSON file to the panel via Webhook; Enhanced integration of Fractal DCA system with Machine Learning extension to ensure seamless and adjusted to market conditions signals production for SmartBot public beta test launch; System structure Identification of Bases The system is engineered to detect pivot lows within a fractal configuration, subsequently verifying their eligibility as bases in alignment with the principles of fractal strategy trading1. The validation process for a pivot low encompasses several checks: Confirmation that the rate of change in price during declines and rebounds surpasses a specified threshold; Verification that the volume at the pivot low exceeds the moving average of volume, determined by a predefined length; Assurance that the volume magnitude significantly exceeds the moving average of volume; Assessment to ensure that the newly identified base is sufficiently distanced from the previous range, employing a specific percentage difference threshold in price. Understanding Fractal Patterns A fractal pattern represents a repetitive configuration observable on price charts, which is instrumental in forecasting reversals amidst broader, more erratic price movements. These fundamental fractals typically consist of five or more bars. The criteria for fractal identification are as follows: A bearish turning point is identified by a pattern where the central bar has the highest high, flanked by two lower highs on each side. A bullish turning point is marked by a pattern where the central bar has the lowest low, surrounded by two higher lows on each side. The fractals depicted in figure below exemplify ideal patterns. It is important to note that while numerous variations of less perfect patterns may occur, the essential structure of the fractal must be preserved for its validity. A notable limitation of fractals as a system is their inherent nature as lagging indicators. Specifically, a fractal cannot be established until a minimum of three bars have completed on the price chart. In the context of the Fractal trading strategy, it is the bullish fractal pattern that is utilized for base identification. The system is equipped with a feature that permits customization of the number of bars that constitute the bullish fractal. The default configuration is set to a 6-bar fractal pattern. This pattern is instrumental in validating price declines and subsequent rebounds. In the latest update, the algorithm has been modified to accommodate a more flexible approach in analyzing the lows of each bar during these declines and rebounds. Instead of requiring a strictly ascending sequence, the revised algorithm focuses on confirming that the pivot point is indeed the lowest, and that the observed declines and rebounds surpass the pre-established ranges. Validation of Cracks and Bounces The process of validating cracks and bounces begins with the identification of a bullish fractal pattern, as per the system's fractal pattern settings. Upon recognizing such a pattern, the system counts the bars to the left and right of the lowest pivot point and then calculates the Price Rate of Change (ROC). The Price Rate of Change is a momentum indicator that quantifies the percentage difference in price between the current price and the price from a specified number of periods ago. The ROC is determined using the following formula: ROC = (Most recent closing price - Closing price n periods ago) / Closing price n periods ago x 100 As demonstrated in figure below, the system employs a 3-3 fractal pattern to calculate the ROC. In this example, the ROC for the Price Drop was computed to be 33.97%, and the ROC for the Price Bounce was 35.93%. These two values are then compared against the predefined “Minimum Price Drop (%)” and “Minimum Price Bounce (%)” settings. Should the ROC values for both Price Drop and Bounce surpass the established thresholds, the base is deemed valid and qualifies for additional validation. Settings either of these parameters to zero (0) implies that the system will bypass this validation step and accept any bullish fractal pattern as valid Volume Validation Methodology In accordance with the principles of Fractal trading, volume plays a crucial role in validating a base. It is primarily used to corroborate the market's robust response in preventing a further decline in price. This is typically evidenced by a "spike" in volume on the price chart, signaling a strong market reaction to the current price level. Moreover, the Fractal trading system acknowledges that volume analysis is particularly pertinent at lower timeframes, where block trades occur. These block trades may not be as discernible in higher timeframes (e.g., on a 1-hour chart). Consequently, while the system incorporates Volume Analysis to gauge the market's reaction at a potential base, this feature is not activated by default, given its optional nature. Volume analysis involves scrutinizing the quantity of shares or contracts traded within a specific timeframe. This analysis is a key tool for technical analysts, who integrate it with other indicators to inform their trading strategies. By examining volume trends alongside price movements, investors can ascertain the significance of price changes in a security. The system executes volume analysis through two distinct methods: Comparison of the volume at the low pivot point against the volume moving average, based on the following criterion: ( > ) = True Application of a multiplication factor to the volume, ensuring it surpasses the volume moving average by a specified margin: ( > ) = True In the following example, volume is greater than volume moving average: Ensuring adequate spacing between bases The system possesses the capability to be configured in such a manner that it spaces out the formation of new bases at a predetermined distance from the existing base. This feature is instrumental in preventing the occurrence of multiple bases being identified near one another. The left chart has 3 base lines that are very close together. No percent of change for new bases 5% percent of change for new bases Base Line Placement The system supports configurable settings for determining the positioning of the base line. This line can be set at the low point of the bar, or alternatively, at the lower value between the opening and closing prices. A comparative analysis of these two distinct options is presented, utilizing the same fractal pattern for evaluation Base Placed on Low Base Place on Open A critical consideration in this context is that if the bar defining the pivot low (termed as the Base Reference Bar) exhibits a lower value than either of the two placements, then the placement will default to utilizing the low of the Base Reference Bar. Base Placement on Low of Reference Bar Understanding Layering Functionality Elucidation of Layers and Their Respective Unit Types The system is designed to accommodate a maximum of nine (9) distinct layers, each equipped with its own set of crack and respect alerts. Layers can be set dynamically through API requests or preconfigured at a position start; unit value can be configured in two ways: as a percentage of the price, as a fixed quantity (such as BTC, USD, etc.). Assigning a value of zero (0) to a layer effectively deactivates it. A “respected” layer definition In the system's framework, a layer is classified as “cracked” when the market price descends beneath the specified layer price threshold. An alert is activated whenever this occurs. However, the criteria for a layer being acknowledged as “respected” can be determined through one of two selectable options. A layer is recognized as respected based on the following price action scenarios: 1. "Respected Base" - means that the system will consider all layers that are cracked below the base as respected when the price action returns to the base after a base crack. For example, consider this chart below: As illustrated, the initial base along with layers 1 and 2 are breached. However, when the price subsequently ascends, the entire configuration is deemed adhered to upon the base being respected. Consequently, in this scenario, a total of four alerts are activated: Base breached; Layer 1 breached; Layer 2 breached; Base respected. Moreover, it is noteworthy that no alert is generated upon the second breach of Layer 2. Therefore, under these settings, a layer is only recognized as breached once while the base breach is in effect. Once the base is respected, the system resets the states of the layers. Hence, if these layers are breached again post-reset, new alerts will be issued accordingly. 2. "Cracks Next Layer First" - means that the system will consider all layers that are cracked below the base as respected when the price action returns to the layer after the layer below it is cracked. For example, consider the chart. Again, the cracked state is restored when the price is returned to the base. While the last layer will never be considered respected since there is no “Next Layer” to be cracked. Duration of layered trading activity The duration of layered trading within the system is adjustable, allowing to define the maximum permissible number of cracks per base. Upon reaching this threshold, the system ceases to issue alerts for further price movements across the layers. Instead, it shifts its focus to identifying new bases as they emerge. A base is deemed to be cracked upon the breach of the first layer. The system offers a configurable option to set a maximum limit on the number of bars for which a layered trade can be active. Upon the breach of the 1st layer, the system initiates a count of the duration, in terms of bars, for which the trade remains active. Should this duration surpass thepredefined maximum threshold, the system will then classify the base as disregarded and start recognizing new base candidates as they emerge. This feature is particularly beneficial in preventing the system from persisting indefinitely on the same base. By default, this setting is assigned a value of 0 bars, indicating that it is initially inactive. The system additionally offers a feature to manage the initiation point for base detection. This functionality is crucial in ensuring that the detection process does not commence amidst an ongoing, long-duration cracked base. Such a scenario could potentially hinder the identification and charting of new bases, thereby impacting the effectiveness of the trading strategy. The system also provides the ability to control the starting point of the base detection so that you can ensure that you are not starting in the middle of a cracked base that is long running in duration, thus preventing new bases from being detected and place on the chart. Risk management settings The system is designed to incorporate a "Take Profit" feature, which enables to exit a trade following a base crack, thereby mitigating the risk of the base not being respected. Alongside the Take Profit functionality, the system also allows for the configuration of Break Even and Stop Loss parameters. These can be activated at predetermined layers, offering users the flexibility to tailor the timing of their application. Furthermore, the system facilitates the input of specific exchange buy and sell commission rates. This inclusion is critical for refining the Take Profit calculations, ensuring they are as accurate as possible to realize the intended profit margins. These configurations play a pivotal role in recalculating the Take Profit price line with each layer crack. It's important to note that the efficacy of this setting is contingent on the "Layer Is Respected When Price" being configured to "Respects Base." In scenarios where this is not the case, the Take Profit price line will experience an upward adjustment whenever layers are respected. Therefore, the optimal utility of this setting is realized when it is paired with the "Respects Base" configuration. The calculation of the Take Profit line value will inherently treat the Stop Loss Percentage as a negative figure. Consequently, there is no requirement to specify a negative number for this setting. Accompanying this text are screenshots that demonstrate diverse instances of these settings being applied within a chart context Take Profit with Layer Activation Settings Disabled Take Profit Activated at Layer 3 Break Even Activated at Layer 3 Stop Loss Activated at Last Layer

Education

Updated

High Returns, Low Risk: Unveiling a Winning Investment Strategy I am pleased to introduce a robust long-term strategy that seamlessly combines performance with an enticing risk profile. This strategy involves strategically investing in ETFs indexed on the S&P 500 and ETFs backed by physical gold. Let's delve into the rationale behind selecting these two assets: S&P 500: 1. Automatic Diversification: Instant exposure to a diverse array of companies, mitigating the risk associated with the individual performance of a single stock. 2. Low Costs: ETF management fees are typically low, facilitating cost-effective diversification. 3. Liquidity: Traded on the stock exchange, S&P 500 ETFs offer high liquidity, enabling seamless buying or selling of shares. 4. Historical Performance: The S&P 500 has demonstrated consistent long-term growth, making it an appealing indicator for investors seeking sustained growth. 5. Ease of Access: Accessible to all investors, even those with modest investment amounts, requiring only a brokerage account. 6. Simple Tracking: The S&P 500 index simplifies market tracking, eliminating the need to monitor numerous stocks individually. 7. Dividends: Companies included often pay dividends, providing an additional income stream. 8. Long-Term Strategy: Ideal for investors pursuing a long-term approach, S&P 500 ETFs are pivotal for gradual wealth building. 9. Geographical Diversification: Investing in an S&P 500 ETF offers not just sectoral but also geographical diversification. Despite the U.S. base, many included companies have a global presence, contributing to international portfolio diversification. Moreover, Warren Buffett's 2008 bet, where he wagered $1 million on the passive S&P 500 index fund outperforming active fund managers over a decade, underscores the difficulty even seasoned financial experts face in surpassing the market's long-term return. This further strengthens the notion that choosing an S&P 500-linked ETF can be a prudent and effective investment strategy. Investment in Physical Gold ETFs: 1. Exposure to Physical Gold: Designed to reflect the price of physically held gold, providing direct exposure without the need for physical acquisition, storage, or insurance. 2. Liquidity: Traded on the stock exchange, physical gold ETFs offer high liquidity, allowing investors to buy or sell shares at prevailing market prices. 3. Diversification: Gold's unique reaction to market dynamics makes it a valuable diversification asset, potentially reducing overall portfolio risk. 4. Lower Costs: Compared to physically buying gold, investing in physical gold ETFs proves more cost-effective in terms of transaction costs, storage, and insurance. ETF management fees are also relatively low. 5. Transparency: Managers regularly publish reports detailing the gold quantity held, ensuring transparency about underlying assets. 6. Accessibility: Physical gold ETFs offer easy market access without the need for physical possession, appealing to investors avoiding gold storage and security management. 7. Gold-backed ETFs: These ETFs physically hold gold as the underlying asset, with investors often having the option to convert their shares into physical gold. After extensive research and backtesting across diverse ETFs covering various asset classes, including bonds, real estate, commodities, and stocks of financially stable companies, my findings notably highlight a standout option during times of crisis: physical gold ETFs. The strategy hinges on leading indicators, powerful economic tools. Leading Indicators: Leading indicators, or forward indicators, are crucial tools in economics and finance for anticipating future trends. In contrast to lagging indicators, which confirm existing trends, leading indicators provide early signals, aiding informed decision-making based on anticipated economic developments. Key characteristics include: Trend Anticipation: Early insight into upcoming changes in economic activity, facilitating preparedness for market developments. Responsiveness: Quick reactions to economic changes, sometimes preceding other indicators. Correlation with the Economy: Association with specific aspects of the economy, such as industrial production, consumer spending, or investments. Examples include: • Housing Starts: Providing early indications of the real estate market and construction investments. • Net New Orders for Durable Goods: Indicating business investment intentions and insights into the manufacturing sector's health. • US Stock Prices: Considered a leading indicator reflecting investor expectations. • Consumer Confidence: Measuring consumer perceptions and influencing consumer spending. • Purchasing Managers' Confidence and Factory Directors: Offering insights into production plans and future economic trends. • Interest Rate Spread: Indicating economic expectations and influencing borrowing and investment decisions. Returning to the strategy, I leverage entry points calculated by a meticulously developed strategy incorporating leading indicators applied to the SPY chart. The achieved performance of 3496% since 1993, with 15 closed trades, significantly surpasses a buy-and-hold position yielding 1654% in performance. Notably, the maximum drawdown is 5.44%, a stark contrast to the over 50% drawdown seen in an investment in the S&P 500. Upon the indicators signaling the end of the long position, I close my SPY positions and transition to positions in physical gold ETFs. In our example, choosing the GLD ETF yields a performance of 173%, adding to our total performance. While the maximum drawdown, considering the addition of the investment in physical gold ETFs, is 17.65%, slightly higher than the drawdown on the strategy applied to the SPY, it remains impressive for such a prolonged period. Now, if we conduct the backtest since 2007: SPY : performance of 751 %, max drawdown of 4.02 % GLD : Performance of 153 % Since 2015: SPY : performance of 131 % GLD : Performance of 37 % Disclaimer: The information shared is for educational purposes only and is not financial advice. Investing involves risks, and past performance is not indicative of future results. Consult with a qualified financial advisor before making investment decisions. The author is not liable for any financial losses incurred.

Education

New function in my strategy I've added a new function to my strategy that allows simulating the strategy's performance while gradually increasing the capital used each month, thus simulating both savings and investment simultaneously Backtest of my strategy docs.google.com

Education

by CryptoBeeStrat

Trading strategy A trading strategy encompasses a set of guidelines for initiating a position. A trading system encompasses a set of rules for consistently profitable trading. This involves a clear comprehension of your strategy, specifying the assets you trade, the setups you utilize, the risk involved, preferred timeframes, and other pertinent details. Consistency: A meticulously crafted action plan serves as a tool to maintain a steady trading strategy while minimizing the sway of emotions on your decision-making. Such consistency often yields more predictable results and enhances overall performance over time. Confidence: Equipped with a playbook, you can trade with increased self-assurance, knowing that you are following a tried-and-tested strategy. This confidence alleviates stress and anxiety, enabling you to maintain focus and make sound decisions. Adaptability: In the face of shifting market conditions, having a playbook at your disposal empowers you to adjust and fine-tune your strategies as needed. This adaptability is a critical factor in staying ahead and sustaining success in the constantly evolving realm of trading. 4 distinct components that constitute a trading strategy: Context: Context encompasses the surroundings and circumstances related to a trading idea or event. It is crucial for a comprehensive understanding of the situation and is vital for maximizing the potential of your trading strategy. Many traders erroneously believe that a trading strategy is simply about identifying patterns or triggers along with basic risk management. For instance, some may focus on trading Order Blocks. However, the key to making Order Blocks a profitable tool lies in applying the correct context. Patterns: The second component involves identifying the triggers or patterns that dictate when to enter a position. Context is applied to these triggers for in-depth analysis, aligning them with the risk-to-reward parameters defined in your trading system. Triggers can vary widely and should be chosen according to your individual trading style and strategy. Position Management: Inexperienced traders often find themselves overwhelmed when they enter a position, leading to irrational decisions. Defining a repeatable process for managing your trades is essential. This process should align with the goals set out in your trading strategy. For instance, if your strategy aims for a risk-to-reward ratio of 3R or higher, your approach will differ from someone targeting a minimum of 1.5R. To ensure consistency, it's crucial to avoid excessive discretion when managing positions, such as attempting to achieve a 1:5 risk-to-reward ratio, placing short stops, or averaging down. Instead, aim for strict consistency, gradually honing your skills. Risk Management: The final facet of any trading system is risk management. Poor risk management is a leading cause of trader failures. It often results from excessive leverage and a lack of understanding. Your risk management plan doesn't need to be overly complex, but it must be clear and diligently adhered to. By following a robust risk management strategy, you can avoid the pitfalls that ensnare many inexperienced traders who destroy their accounts due to reckless trading practices. It may vary depending on your trading style, but for day trading I recommend the following: * 1% maximum risk per trade * 2% maximum per day * 6% maximum per week * 10% maximum per month 6 essential steps to build and refine your trading strategy: Determine Your Trading Style: Start by defining your trading style, whether you are a day trader, swing trader, or long-term investor. This choice guides your selection of appropriate strategies, time frames, and risk management techniques. For instance, specify your preferred win rate (e.g., 50%+), risk-to-reward ratio (e.g., 2R minimum), and trading style (e.g., scalping, position trading, or swing trading). Research and Select Strategies: Explore various trading strategies and choose the ones that align with your trading style, risk tolerance, and financial objectives. You may want to consider strategies like Smart Money trading, which could be particularly beneficial. Define Entry and Exit Criteria: For each selected strategy, outline precise entry and exit criteria. Determine your stop loss and profit targets to ensure you execute trades accurately and limit potential losses. It's crucial to establish a well-defined trade management plan that guides step-by-step position management. For example, decide to move your position to break-even when a 1:1 risk-to-reward ratio is reached, open trades exclusively with a 1:2 ratio, or close 50% of your position at 1:1 and the remaining 50% at 1:3. Establish Risk Management Rules: Implement robust risk management rules to safeguard your capital. These rules might include setting a maximum percentage of your account balance to risk per trade or using Expert Advisors to automatically determine position sizing for risk control. Test Your Strategies: Prior to committing real capital, test your strategies using historical market data or a demo account. This testing phase allows you to refine your strategy and build confidence in your approach. If you cannot achieve positive results on a demo account, it's advisable to avoid risking real money until you've honed your skills. Analyze Your Trades: Maintain a comprehensive trade journal recording the strategy used, entry and exit points, and relevant market conditions for each trade. Regularly review your trade results to pinpoint areas for improvement and adapt your trading plan accordingly. Analyzing your trades is crucial for continuous growth as a trader. Hope you enjoyed the content I created, You can support with your likes and comments this idea so more people can watch! ✅Disclaimer: Please be aware of the risks involved in trading. This idea was made for educational purposes only not for financial Investment Purposes. --- • Look at my ideas about interesting altcoins in the related section down below ↓ • For more ideas please hit "Like" and "Follow"!

Education

by Crypto4light

HOW-TO: Minervini Pullback Strategy General Description and Unique Features of this Script 1. Our script/strategy utilizes Mark Minervini's Trend-Template as a qualifier for identifying stocks and other financial securities in confirmed uptrends. Mark Minervini, a 3x US Investment Champion, developed the Trend-Template, which covers eight different and independent characteristics that can be adjusted and optimized in this trend-following strategy to ensure the best results. The strategy will only trigger buy-signals in case the optimized qualifiers are being met. 2. Our strategy is based on supply/demand balance in the market, making it timeless and effective across all timeframes. Whether you're day trading using 1- or 5-min charts or swing-trading using daily charts, this strategy can be applied and works very well. 3. We also incorporate technical indicators such as RSI and MACD to identify low-risk pullback entries in the context of confirmed uptrends. By doing so, the risk profile of this strategy and drawdowns are being reduced to an absolute minimum, giving you peace of mind while trading. Minervini’s Trend-Template and the ‘Stage-Analysis’ of the Markets This strategy is a so-called 'long-only' strategy. This means that we only take long positions, short positions are not considered. The best market environment for such strategies are periods of stable upward trends in the so-called stage 2 - uptrend. In stable upward trends, we increase our market exposure and risk. In sideways markets and downward trends or bear markets, we reduce our exposure very quickly or go 100% to cash and wait for the markets to recover and improve. This allows us to avoid major losses and drawdowns. This simple rule gives us a significant advantage over most undisciplined traders and amateurs! 'The Trend is your Friend'. This is a very old but true quote. What's behind it??? • 98% of stocks made their biggest gains in a Phase 2 upward trend. • If a stock is in a stable uptrend, this is evidence that larger institutions are buying the stock sustainably. • By focusing on stocks that are in a stable uptrend, the chances of profit are significantly increased. • In a stable uptrend, investors know exactly what to expect from further price developments. This makes it possible to locate low-risk entry points. The goal is not to buy at the lowest price – the goal is to buy at the right price! Each stock goes through the same maturity cycle – it starts at stage 1 and ends at stage 4 Stage 1 – Neglect Phase – Consolidation Stage 2 – Progressive Phase – Accumulation Stage 3 – Topping Phase – Distribution Stage 4 – Downtrend – Capitulation This strategy focuses on identifying stocks in confirmed stage 2 uptrends. This in itself gives us an advantage over long-term investors and less professional traders. By focusing on stocks in a stage 2 uptrend, we avoid losses in downtrends (stage 4) or less profitable consolidation phases (stages 1 and 3). We are fully invested and put our money to work for us, and we are fully invested when stocks are in their stage 2 uptrends. But how can we use technical chart analysis to find stocks that are in a stable stage 2 uptrend? Mark Minervini has developed the so-called 'trend template' for this purpose. This is an essential part of our JS-TechTrading pullback strategy. For our watchlists, only those individual values that meet the tough requirements of Minervini's trend template are eligible. The Trend Template • 200d MA increasing over a period of at least 1 month, better 4-5 months or longer • 150d MA above 200d MA • 50d MA above 150d MA and 200d MA • Course above 50d MA, 150d MA and 200d MA • Ideally, the 50d MA is increasing over at least 1 month • Price at least 25% above the 52w low • Price within 25% of 52w high • High relative strength according to IBD. We have developed an algorythm (for TradingView) that uses Minervini’s trend template as a qualifier. This means that the strategy only generates trading signals in case the selected elements of the trend template are being met. The user is fully flexible to adjust the requirements of this Trend-Template qualifier: This strategy is normally applied to the daily chart ideal for selecting individual stocks for trend-following strategies. Nevertheless, Minervini’s principles are timeless and this alogrithmic strategy with the Trend-Template qualifier can also be applied to any other timframe. The qualifier #9 (RS-Ratings) can be modified and optimized in the strategy’s settings to fit your individual needs. In general, it should be noted that ideally all 8/8 trend template criteria are met. Stocks or other securities that meet only some of these 8 criteria can also be very promising candidates for this strategy, provided that backtesting yields good results. The Pullback Strategy For the Minervini pullback strategy, only stocks and other financial instruments that meet the selected criteria of Mark Minervini's trend template are considered. If not, the strategy will not generate any signals. Further prerequisites for generating a buy signal is that the individual value is in a short-term oversold state (RSI). When the selling pressure is over and the continuation of the uptrend can be confirmed by the MACD after reaching a price low, a buy signal is issued by the pullback strategy. Stop-loss limits and profit targets can be set variably. Relative Strength Index (RSI) The Relative Strength Index (RSI) is a technical indicator developed by Welles Wilder in 1978. The RSI is used to perform a market value analysis and identify the strength of a trend as well as overbought and oversold conditions. The indicator is calculated on a scale from 0 to 100 and shows how much an asset has risen or fallen relative to its own price in recent periods. The RSI is calculated as the ratio of average profits to average losses over a certain period of time. A high value of the RSI indicates an overbought situation, while a low value indicates an oversold situation. Typically, a value > 70 is considered an overbought threshold and a value < 30 is considered an oversold threshold. A value above 70 signals that a single value may be overvalued and a decrease in price is likely , while a value below 30 signals that a single value may be undervalued and an increase in price is likely. For example, let's say you're watching a stock XYZ. After a prolonged falling movement, the RSI value of this stock has fallen to 26. This means that the stock is oversold and that it is time for a potential recovery. Therefore, a trader might decide to buy this stock in the hope that it will rise again soon. Moving Average Convergence Divergence (MACD) The MACD (Moving Average Convergence Divergence) is a technical indicator used in both short-term and long-term trading strategies. The indicator was developed by Gerald Appel and is one of the most well-known indicators for the stock market. The MACD consists of two lines calculated by the difference between two moving averages. The first line is a fast moving average that targets a short period of time. The second line is a slow moving average that targets a longer period of time. In addition, a trigger line is calculated, which consists of another moving average of the MACD line. The MACD line is the difference between the fast and slow moving average. The greater the difference between the two lines, the more likely a subsequent price increase. The lower the difference, the more likely a subsequent price drop is. If the MACD line crosses upwards over the trigger line, this is a buy signal that signals a potential price increase. If the MACD line crosses down below the trigger line, this is a sell signal that signals a potential price weakening. This strategy is applicable to all timeframes and the relevant parameters for the underlying indicators (RSI and MACD) can be adjusted and optimized as needed.

Education

by JS_TechTrading

How to backtest Signals with different Risk to reward ratio Hello traders , this is my very first video on this platform, so please bear with me as I plan to make better content in the future. In this video, I aim to show you how to test your trading signals using various risk-to-reward ratios. The goal is to identify the most suitable ratio for your signals and create a profitable strategy. What's crucial in strategy development is effective risk management and selecting the right risk-to-reward ratio. You might have a signal that performs poorly at a 1:1 ratio but becomes profitable at a 3:1 ratio. I'll explain how to use this indicator and why it can be highly beneficial for your trading. In this section of the video, I'm demonstrating how to apply this method to internal signals like RSI, moving averages, and Supertrend. Additionally, I'm planning to create another video to teach you how to backtest your own external signals. Please let me know if this is something you'd like to learn more about.

Education

19:22

📕Low-Quality setups (UNCLEAR) VS High quality (CLEAR) setups📕High quality (Clear) vs Low Quality (Unclear, wicky, random, guessing) Setups in Our Trading High quality clear (HQC) setups are best representations of your EDGE, they allow you to feel confident in the MOMENT of placing a trade, and you can feel relatively good about it even if it’s a loser, because you know you traded in clear market environment and did your best HQC setups bring you HEALTHY excitement and joy from the process of your trading, in case of a winner, usually not leading to overconfidence and doesn’t lead to attachment to random reward, and in case of a loser - you are not dragged into revenge or depression, because you know losers are also part of your strategy and your execution was good When you enter HQC setups that speaks about you as about a trader you tested their strategy, who knows what they want to see in the market and applied effort to stay away from bad condition and wait for a better one. These skills alone are so much better than 1 random +3R or +5R winner Low quality unclear (LQU) setups mean something is out of your mental game today, you feel not feel good in longterm perspective trading them, because you kind of KNOW you should trade them, but you still do. It all sucks you into an emotional circle. LQU setups bring you UNHEALTHY , short term lived overexcitement in case of a winner, attaching you to random rewards, which is fatal for a trader. Every time entering a LQU setup you develop a habit or “teach” yourself that it is easy and fast way of earning money. Just see something distantly reminding about your setup and enter. Sometimes you’ll get away, but longterm you’ll lose more. LQU setups means you are you fully confident in your core strategy, and so you may unconsciously search for random entries, because you entered like this before and it brought you reward. Trading LQU setups is destroying your mental game and account in the short, medium and longterm Picture attribution Frame Border PNGs by Vecteezy

Education

by Yelli_trades

Updated

How to trade Liquidity Sweeps 🌊 Trading liquidity sweeps 🌊 and identifying fake liquidity grabs 🕵️‍♂️ can be valuable skills for traders. These strategies involve capitalizing on market inefficiencies and understanding how institutional traders and algorithms influence price movements. In this guide, we'll explore what liquidity sweeps and fake liquidity grabs are and how to trade them effectively. Understanding Liquidity Sweeps: A liquidity sweep occurs when a trader executes a large market order that "sweeps" through the order book, clearing out available liquidity at various price levels. These sweeps often signal strong buying or selling interest, potentially leading to significant price moves. Identifying Fake Liquidity Grabs: Fake liquidity grabs 🎭 are market manipulation techniques used to deceive traders. Market makers or large players might place large orders on the order book to give the illusion of significant interest at a specific price level. However, they often cancel these orders before they get executed, leading to sudden reversals in price. Trading Liquidity Sweeps: Monitor Order Flow: Keep an eye on order flow and trade volume to identify sudden surges in trading activity. Liquidity sweeps are often accompanied by spikes in volume. Identify Key Levels: Look for important support or resistance levels where liquidity sweeps are likely to occur. These levels can be based on technical analysis, such as previous highs or lows. Entry and Stop-loss: Enter a trade when you spot a liquidity sweep that confirms your bias. Set stop-loss orders to manage risk in case the market moves against you. Take Profits: Take profits when the market reacts as expected, but be prepared for quick price reversals. Liquidity sweeps can be followed by retracements. Trading Fake Liquidity Grabs: Be Cautious: Approach price moves driven by apparent liquidity grabs with caution. These moves can be short-lived. Confirm Price Action: Wait for confirmation of the direction after the fake liquidity grab. Look for signs that real market sentiment is driving the price. Risk Management: Place stop-loss orders to protect your capital in case the market reverses quickly. Avoid chasing the initial price move. Use Additional Indicators: Combine your analysis with other technical indicators or market sentiment tools to increase your confidence in your trading decisions. Conclusion: Trading liquidity sweeps and fake liquidity grabs can offer opportunities for profit, but they also come with risks. It's essential to have a clear strategy, strict risk management rules, and the ability to adapt to rapidly changing market conditions. As with any trading strategy, practice and experience will help refine your skills in identifying and capitalizing on these market dynamics. 🚀📈🌊

Education

🥶 FACT: Most traders quit year one. Hmm, but why? 🤔You all heard the statistic, "gambling is more profitable than trading - 13 out of 100 gamblers leave the casino with gains compared to 1 out of 100 traders". Yeah yeah. Nice story. Now tell us the real story. The market is not a casino. Don't compare. What about the thousands of traders making consistent gains? It's a FACT that most traders quit their trading "hobby" or "career" within their first year of trading. But what's ALSO a FACT is most traders: Don't take profits when they see them (keep holding for more). Go too heavy on a single trade. Go all in on a single trade. HODL for glory, even when they're super green on a trade. Are too bullish/ bearish and turn a blind eye to the other bias. Are over-speculating all the time (i.e. " NASDAQ:AMD 120 tomorrow. All in calls" Trade without a chart. Have no risk management. Don't follow their own rules. Have no trading strategy. One cannot state the first "fact" without stating the other; the real reason. Otherwise, that's a shallow statistic. That's like looking at a 15 min chart and not realizing that each candle is constructed of 1,000+ mini candles. Here's a 15 min NASDAQ:AMZN chart: Here's the same chart in 15 second candles: Zooming in to the chart gives you a clearer picture. Digging deep into the "quitting" traders' psychology, you'll get the answer. Also, I wouldn't say they quit. It's possible that the energy they were putting in wasn't paying off, and they didn't want to waste their time any further. Treat your trading like a job. Be strict. You see quick +20% profit? Take it. But you believe it's going higher? Still take it. Find another trade. Baby gains add up! Most traders who got burned on NYSE:AMC NYSE:GME , kept HODLing. This is coming from someone who bought NYSE:AMC at $2.13 pre-split in 2021 and sold around $25 and $70: ACHIEVING SUPER GAINS WILL RUIN YOUR MENTALITY! You will start treating the market like a casino. You will stop appreciating the smaller 20 to 40% gainers that you can do once per day or week. You will see yourself starting to go heavy because you "believe" that "this is the next banger". To avoid all this headache, build a strategy slowly over time, use the right tools to plan your trade, find a community to trade with, use proven strategies (i.e. support/ res, supply/ demand, patterns), go light in your first 1,000 trades, and so on. Happy to help if you have any questions below. Follow for more insight and for live trade swing & day-trade ideas! Good luck trading! Trade safe and don't go all in. Baby gains add up.

Education

Guide: SMA and RSI for Trend Reversals Welcome, traders! In this comprehensive guide, we'll explore a long-term trading strategy that leverages two powerful technical indicators: the Simple Moving Average (SMA) and the Relative Strength Index (RSI). By the end, you'll have a solid understanding of how to use these tools to identify trend reversals and make informed trading decisions with a focus on the bigger picture. 📉📈 Educational Objectives: Understand the concept of long-term trading and its benefits. Learn how to use the Simple Moving Average (SMA) to identify trends. Master the Relative Strength Index (RSI) for spotting overbought and oversold conditions. Combine SMA and RSI for a comprehensive long-term trading strategy. Recognize key points of trend reversal for well-timed entries. 📌 Part 1: The Foundation of Long-Term Trading Long-term trading focuses on capturing significant price movements over extended periods. It requires patience, discipline, and the ability to ignore short-term noise. 📌 Part 2: Understanding the Simple Moving Average (SMA) SMA is a trend-following indicator that smooths price data to reveal the underlying trend. The 200-day SMA is particularly useful for long-term analysis, indicating the overall trend direction. An upward-sloping 200-day SMA suggests a bullish trend, while a downward slope indicates a bearish trend. 📌 Part 3: Mastering the Relative Strength Index (RSI) RSI measures the speed and change of price movements, helping identify overbought and oversold conditions. An RSI above 70 suggests overbought conditions and a potential trend reversal. An RSI below 30 indicates oversold conditions, potentially signaling a trend reversal to the upside. 📌 Part 4: Combining SMA and RSI for Long-Term Trading Look for confluence: Confirm trend reversals when the 200-day SMA aligns with RSI overbought or oversold signals. A bearish signal could be an overbought RSI crossing below the 200-day SMA, signaling a potential downtrend. A bullish signal might be an oversold RSI crossing above the 200-day SMA, suggesting a potential uptrend. 📌 Part 5: Identifying Points of Trend Reversal Key points to recognize trend reversals include: Divergence: When the price makes new highs or lows but RSI doesn't, it signals a potential reversal. Crossovers: Pay attention to the 200-day SMA crossing above or below the price chart. Volume: Increasing trading volume often accompanies trend reversals. 🚀 Conclusion: Long-term trading can be highly rewarding, but it requires a deep understanding of market trends and the right tools. By combining the SMA and RSI indicators, you gain a powerful strategy for identifying trend reversals and making well-informed trades with long-term potential. Remember that no strategy is infallible, so always employ proper risk management techniques and continuously refine your trading skills. ❗See related ideas below❗ Like, share, and leave your thoughts in the comments! Your engagement fuels our crypto discussions. 💚🚀💚

Education

by Yaroslav_Krasko

Role of Risk Management in Trading and How to calculate risk The Foundations of Solid Risk Management 🛡️📊: Risk management in trading involves a series of strategic decisions aimed at minimizing potential losses. It revolves around understanding the risks associated with each trade and employing measures to mitigate them. Whether you're a novice or an experienced trader, risk management remains a non-negotiable aspect of sustainable trading. 👍 Pros of Effective Risk Management: Shields your trading capital from significant losses. Provides a structured framework for decision-making. Fosters discipline and rationality in the face of market fluctuations. 👎 Cons of Neglecting Risk Management: Exposes your portfolio to undue risks that can lead to substantial losses. Increases the likelihood of emotional decision-making driven by fear and greed. The Emotional and Financial Benefits of Risk Management 🧘‍♂️❤️: Effective risk management isn't just about preserving your financial resources; it's also about maintaining emotional equilibrium. When traders implement robust risk management strategies, they reduce the psychological stress and anxiety that often accompany trading. This enables traders to make more logical decisions, avoiding impulsive actions triggered by heightened emotions. Calculating Position Size and Setting Stop Losses 📈🛑: Two key elements of risk management are calculating the appropriate position size and setting stop-loss levels. These practices are integral to controlling the amount of capital at risk in each trade. By determining the position size based on a percentage of your capital and setting stop-loss orders to limit potential losses, traders ensure that no single trade can significantly erode their account balance. Comparing Potential Losses and Gains for Different Risk Management Scenarios 💹📉: Let's explore how the 2% rule affects potential outcomes for different risk management scenarios: Risking 2% of a $1000 Deposit: Maximum Risk per Trade: $20 (2% of $1000) Potential Loss: Limited to $20 per trade Potential Gain: Can vary, but the focus is on maintaining risk control Risking 5% of a $1000 Deposit: Maximum Risk per Trade: $50 (5% of $1000) Potential Loss: Larger at $50 per trade Potential Gain: Higher, but the risk of significant losses is elevated Risking 10% of a $1000 Deposit: Maximum Risk per Trade: $100 (10% of $1000) Potential Loss: Considerably larger at $100 per trade Potential Gain: Higher compared to 2% risk, but risk of capital depletion is significant How to calculate your position size ? You can easily calculate risk directly in TradingView using the built-in calculator! Choose the direction of your position - long or short. The next step is to set up according to your deposit and risk per trade. After that, simply drag it onto the chart in line with your stop loss and take profit (more on this in the upcoming article), and it will automatically calculate the position size for you!

Education

by Yaroslav_Krasko

Updated

Battle-tested through the ups and downs of Etherium history A trading strategy that's been battle-tested through the ups and downs of Eth's history. This strategy doesn't blink in the face of market chaos or get swayed by emotions. It's a calculated game plan that knows when to step in and when to step back. Compare that to emotional investing, where fear and greed call the shots. Imagine making decisions when you're on an emotional rollercoaster—buying high in excitement and selling low in panic. That's a recipe for disaster. A backtested risk-managed strategy, though, is like a cool-headed coach that sticks to the game plan no matter what. It's about discipline, rules, and consistency. So, do you want to ride the emotional wave or play the long game with a strategy that has been consistently profitable year on year since 2016 (start of Eth - substantiated by backtest data). Average annual net profit (substantiated by the backtest) 196% (No Leverage) & 661% (3x leverage) This year (Jan 2023 to Sep/15th/2023) has already generated 45.21% (no leverage) 144.93% (3x leverage) in net profit. This strategy does Not re-paint, No-look ahead bias. and 100% forward tested. Tradingview has a default caution for strategies that use the multitimeframes data. This does not apply to this strategy as all calculations are based on closed bars. So how does it work? Postions are entered based on RSI Divergence on Higher Timeframes and confirmed by the ATR. Stop Loss and Trailing ATR-based Take Profit:The strategy incorporates a risk management mechanism with a built-in stop loss set at 8%. Additionally, it employs a trailing take profit mechanism based on ATR. This means that as the trade moves in the desired direction, the take profit level adjusts itself based on the current volatility, allowing for gains to be secured as the trend progresses. SMI-based Re-entry after Stop-out: Stochastic Momentum Index (SMI) is used as a re-entry signal if the trade is stopped out (i.e., the stop loss is triggered). This re-entry is contingent on higher timeframes and ATR still supporting the original trend, indicating that the initial stop-out may have been a false signal. Portfolio Reinvestment for Compound Growth: The strategy allocates 95% of the portfolio's capital to each trade. This approach maximizes the potential for compound growth, as a significant portion of the available capital is reinvested in each trade, provided that risk management rules are satisfied. This approach is appropriate for this strategy as strict risk management is applied and the winrate is almost 50% Accounting for Exchange Fees: Exchange fees, set at 0.1%, are factored into the strategy's calculations. This ensures that trading decisions take into account the cost of executing trades on the exchange. Avoiding Lookahead Bias and Repainting: The strategy is designed to prevent lookahead bias by making calculations based only on closed bars of price data. Lookahead bias occurs when future data is used to make past trading decisions, potentially leading to unrealistic expectations.

Education

by TradingAlgorithms

Mechanical Consistency Weekly Review 8; +8% Return.04 Sep to 08 Sep 2023 TL;DR Total Profit of approximately $800 (around +800%) for the 1st week of September 2023. Total 8 trades, 6 wins & 2 loss. 1-hour Timeframe, Oanda, XAUUSD(Gold), $10,000 Capital, $200/ 2% per trade. Mechanical Consistency Trading Strategy; Purely rule-based strategy, zero guesswork, zero analysis. Disclaimer: I am not a financial advisor. The content for this article is purely for educational/research purposes only and is merely based on my personal opinions. Please note: There will be affiliate links in this article. But it will only benefit both of us. If you do not wish to participate under my affiliate links, please feel free to Google them separately. Cheers! I'm truly thankful for yet another successful week employing my mechanical consistency strategy. My retracement trades are consistently delivering the expected results, while any losses I've incurred can be attributed solely to my mean reversion trades on Tuesday. Let's review every day. Monday (04 September 2023) 1x Win Trade Daily bias: Downtrend I was only able to trigger a retracement trade on Monday, but it turned out to be a highly profitable one. Despite the slowing down at night, I was fortunate that the price continued its downtrend the following day, reaching my desired profit level. Tuesday (05 September 2023) 2x Lose trades Daily bias: Downtrend The only losing days I've had this week were both due to my mean reversion trades. These trades carry significant risk since they go against the prevailing trend, relying on a rebound to reach my 21 SMA+EMA level. Unfortunately, the downward trend proved to be stronger, resulting in losses. Wednesday (06 September 2023) 1x Partial win & 1x full win trades Daily bias: Downtrend Contrastingly, I managed to secure a profit with my two mean reversion trades on Wednesday. Fortunately, the price did rebound successfully in both cases, albeit with the first trade yielding a partial profit and the second trade lasting until Friday morning. Nonetheless, I'm quite satisfied with the overall outcome. Thursday (07 September 2023) 0x trade Daily bias: Downtrend There were no trades on Thursday as my mechanical consistency strategy did not trigger any of my limit orders. It was yet another stress-free day for me. Friday (08 September 2023) 1x partial win 2x solid win trades Daily bias: Uptrend Friday turned out to be quite a rollercoaster day for me, with three consecutive trades triggering throughout the day. Fortunately, all of these trades ended in profit. The first mean reversion trade yielded a partial win, the second mean reversion trade was an immediate victory with zero drawdowns, and the third retracement trade delivered a profit by Monday morning. Endnote While I encountered some losses with my mean reversion trades due to their inherent risk of going against the trend, I also enjoyed significant profits from retracement and mean reversion trades that went as planned. Despite the fluctuations, my mechanical consistency strategy helped maintain a stress-free approach to trading, and I ended the week on a positive note, with successful trades on Friday. This experience reinforces the importance of a well-rounded trading strategy and the need to adapt to market conditions while remaining disciplined and focused on long-term goals. Learn My Strategy For Free As a full-time working individual, I do not have the time to constantly monitor the charts and look for the "perfect" trading opportunity. This is why I adopted the mechanical trading strategy to earn extra money. This approach eliminates the need for extensive technical or fundamental analysis and removes any guesswork. It is a 100% Mechanical rule-based strategy, ensuring disciplined and consistent decision-making. If you want to learn my strategy, please visit my blogging site, link in bio. Thank you!

Education

by Barry_Games_Trading

Initiation. Accumulation. Pump How to trade coins after listing? Here is logic of IAP model BINANCE:APTUSDT When people get tokens after airdrop or launchpad, most likely on first candle we will see seller pressure. This model works in general only for fundamental projects, where even people who get tokens for free will hold it for long term. Because we got a lot of examples when this model doesn't work and price crashed under listing price. Also we need pay attention in what market period we see this listing. Because if it's a beginning of bear market this model most likely also will not works. Initiation - Formation price imbalance in the broad price range at the time of listing coins can be interpreted as an initiating impulse, who doesn't leave fair traded price zones on ways of its formation and in here will be be nearest target. We can use Fib from the bottom to the top candle before correction or just count only body of first Daily close candle. Accumulation - Price reaction to price imbalance initiating impulse is a direct indication of the presence or lack of accumulation character on the chart. Zones for accumulation before pump will be classic 0.618 / 0.71/ 0.86 levels by fib. Pump - last stage of this model is a Pump, minimal target for this trade can be -0.27 and -0.618 level by fib where you can fix profit. On this example with Aptos it was over 500% pump. After pump depends of market stage and cycle price can continue parabolic move up or correction again to 0.5 or 0.618 level by same fib. Hope you enjoyed the content I created, You can support with your likes and comments this idea so more people can watch! ✅Disclaimer: Please be aware of the risks involved in trading. This idea was made for educational purposes only not for financial Investment Purposes. --- • Look at my ideas about interesting altcoins in the related section down below ↓ • For more ideas please hit "Like" and "Follow"!

Education

by Crypto4light

TRADING IS THE MOST REWARDING BUSINESS WORLDWIDE TRADING IS THE MOST REWARDING BUSINESS IN THE WORLD. But 99% of traders don't know how to win. 6 STEPS TO BECOME A TRADING SNIPER: 1. Develop A+ setups - Focus on low risk, high reward - Don't worry if you need time to execute - You don't need to catch every market's movement to be successful One setup is enough to kill in the trading arena. 2. Focus on A+ setups - Execute like a machine when you spot an A+ setup - Forget anything else. Don't take stupid trades just because you don't have opportunities Trust your setups. Trust your plans. Trust your execution. 3. Control your emotions Waiting is the hardest trading skill: - You need patience to wait for your setups - You need discipline to execute your setups - You need confidence to win with your setups Traders, like snipers, wait 99% of the time. 4. Know your system like a brother - Know the details. RR, WR, strengths and weaknesses. - Know what to expect: "If x happens, I'll do this. If y happens, I'll do this." Always have a plan. 5. Aim for 1% If average traders practice 1 hour per day, start practicing 2 hours per day. If average traders review trades once a week, start reviewing trades every day. If average traders never shapes minds, start meditating every day. To be the 1%, do what the 99% don't do. 6. Become a trading sniper - Focus on A+ setups - Control your emotions - Always have a plan Shape your weapons. Shape your trading. If you enjoyed this insightful post, please share with your friends and invite them to join us. Thanks

Education

How to create trading strategy and use the Omega Toolkit The Omega Toolkit has been designed and created in order to make traders better understand and respect their trading style. I have created this toolkit as a former technical financial analyst (certified by S.I.A.T.) to give access to anyone at a low cost to highly effective trading tools that can be used to create a lot of trading strategies that suit any style of trading. Each strategy that you know or ever will apply to the markets is a combination of different variables, commonly known under the name “checklist”. Unfortunately, many traders use in their trading strategy a lot of different tools that answer the same question or analyze the same data, that’s why I have created the Omega Toolkit, to classify and organize the best tools for every checklist point. These variables can be categorized into 4 main points: 1. The first one is the Trend parameter, this point answers the question “buy or sell”, long story short it provides the direction of the trade you’re looking to. Usually, for this point, many traders like to use the 200 period moving average, others like to use the market structure, and others use more advanced tools like the volume profile, but at the end of the day, they all answer the same question and use multiple tools that answer to the same question can lead to an analysis that overvalues some price data and undervalues some others. Many traders like to use also fundamental analysis to determine the trend parameter, with macroeconomics data or another type of analysis just like the seasonality. 2. The second one is the Location point, this variable aims to make the trader buy low and sell high, and the main purpose is to provide the risk-to-reward asymmetry. One general rule to follow regarding this aspect is to decide with attention to your entry and exit points. To decide that, keep in mind that you want the price to have the most amount of resistance (or support) between your entry point and your stop loss, while you want the price to have a “clear path” from your entry price level until your previously decided to take profit. To answer this point, many traders like to use the standard Fibonacci retracement or the Smart money concepts technique, but in reality, any tool or analysis can be used as long as it provides a clear price level that can be used to determine whenever the price is in a discount zone, in a premium zone or in his fair price value. 3. The third one is the Signal point, which is used to determine the exact moment to enter the trade you already have programmed. This point is very important because it gives us confirmation of the fact that the short-term trend is aligned with the long-term trend. An essential tip about this is that no strategy is effective on the market if the strategy starts from the signal or is based on that. 4. The fourth and last point is the Filter, which aims to increase the win rate of the strategy by giving an additional confirmation to the trade you have found thanks to the Trend and the Location parameters. An important information about this variable is that in order to be effective it should analyze a different kind of data compared to the other three parameters. For example, if you have chosen to utilize all only-price variables as analysis for the Trend, Location, and Signal points, you should use something different just like an indicator that analyzes volume, momentum, volatility, or strength in his data. In order to have a good strategy your checklist should have at least one point for every categorization. Having more than one can lead to an increase in performance and also a huge decrease in the overall trade number. Here, with the Omega Tools, I provide 3 tools that can be used to create some effective trading strategies using both statistics and logic. The Omega Toolkit is created to work all together, even if you don’t want to use all three tools, your strategy in order to be optimal has to cover the other previously described points. With the Omega Trend, I provide an indicator that contains a lot of features both for the Trend parameter and the Signal one. The overlay indicator can be used for assistance both in the Trend and Location points, meanwhile, the candle coloring aim to be the ultimate indication of the trend direction, including in the formula a lot of different indicators that analyze both the price, the volume, and other variables. The signal, displayed as small points over or below the candle is a great tool to find the optimal entry and exit points once found the trade you want to take. The Omega Analyst contains many tools chosen to be highly effective to determine the Location point (even if some of them can be used also as a Trend point). To have the best risk-to-reward ratio, you should be looking for a below-average or discount situation if you’re looking for a buy, and an above-average or premium situation if you’re looking to sell the asset. The Omega Oscillator is the last tool of the Omega Toolkit and contains various tools that can be used mainly as filters for your trade, but you can also use it as a Signal or Location point. The oscillator you want to use, and the condition that the oscillator should have in order to verify the trade, should be determined previously and precisely in order to not make mistakes and have an objective analysis. Summing all what has been said, the procedure to find a trade can go like this: 1. You find the direction of the trade thanks to the Trend point and your general technical analysis or smart money concepts analysis. 2. You identify the main level or zone to enter into the position 3. Once the price is in the zone or touched the level and respected the condition you previously identified, you wait for the signal. 4. Once the signal has been plotted (at candle closed) you verify the trade with your Filter parameter previously chosen. 5. If confirmed, you chose your entry point (or enter with a market order) and your exit points (both take profit and stop loss) that can be either fixed or dynamic and trailing. The Omega Toolkit has a very big feature, customizability: thanks to this, you can (and should) adapt the parameters of the indicators to the market conditions. These conditions are the kind of asset you’re trading, the market condition, the time frame, and even the period of the year you’re currently in. It’s not the tool that you chose to use that creates your strategy, it’s the way to use them in order to determine if you should enter the market or not; many tools can be used for different purposes, for example, you could use the seasonality of an asset both for the trend parameter to determine the direction or as a filter to increase the win rate, you could use the price relation to a moving average to analyze the direction of the trend or to identify the retracement levels, and I could continue for almost any tools available for technical analysis. If you have any suggestions or anything you’d like to say, just leave a comment down here and we’ll talk about it!

Education

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