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howto set stoploss correctly and do a goodjob of risk managementStop loss is a necessary means to control risk, and using a good stop loss point is the only way for investors to win. There are two types of methods for setting the stop loss point: the first type is a regular stop loss, that is, when the reasons and conditions for buying or holding disappear due to changes in market conditions, the position must be closed or stopped immediately. The second category is auxiliary stop loss. In practice, the maximum loss method, retracement stop loss, sideways stop loss, expected R multiplier stop loss, key psychological price stop loss, tangent support level stop loss, moving average stop loss, cost moving average stop loss, Bollinger band stop loss, volatility stop loss, K-line combination stop loss, chip intensive area stop loss, CDP (contrarian operation) stop loss, etc.Investors should judge based on their own risk tolerance and choose a stop loss method that suits them. The market has been fluctuating all the time, and there are opportunities at all times, but before we make a transaction, when we look at a certain position, we also need to refer to whether the stop loss position is well set, how much profit margin can be grasped, and whether it has played a role in using small capital to fight for high returns. The size of the stop loss: It can be set according to the resistance support in the seeking stop loss point above. The size of the stop loss we are talking about here should be set more based on the profit margin. This is the high return of small capital. When our profit margin can only be seen at 5-8 points, the stop loss can be controlled at about 3 points; The stop loss point for medium- and long-term trading can be appropriately enlarged, and when the profit point is above 30 points, the stop loss can be set to more than 8-10 points.Of course, the size of the stop loss is more of a reference factor in resistance and support. Spread in stop loss: We all know that the cost of trading is composed of spread and commission. When we place an order, we try to find the best entry point and calculate the spread. Then the same is true when setting the stop loss. The above talked about finding the stop loss point and the size of the stop loss, then in the gold investment market, it is often a decimal point that can change the profit or loss, so we need to calculate the spread when setting the stop loss. Several principles for setting a stop loss point: 1. Once the stop loss point is set, it is not recommended to change frequently if it is not necessary. It should be implemented decisively. Stop loss is actually a prerequisite and guarantee for profit. 2. The stop loss point should be set before each lot is traded. 3. The stop loss point can be flexibly changed, but it must not be changed day and night. 4. Before setting the stop loss point, it must be based on the current overall trend In order to facilitate everyone to continue to follow up on my analysis and sharing, you can like and follow me; in addition, I will share the daily real-time strategy in the channel. If you can't follow up in real time, you may make operational errors.You can use the following methods to enter my channel for free to follow the latest news and follow up on market trends in real time.
FX:USOILEducation
by Blessed_V
judgment of technical indicators and application skills1. Simple judgment of support and resistance: Support and resistance levels are the points in the chart that are subjected to continuous upward or downward pressure.The support level is usually the lowest point in all chart patterns (hourly, weekly, or annual), while the resistance level is the highest point (peak)in the chart.When these points show a downward trend, they are recognized as support and resistance.The best time to buy/sell is near the support/resistance level that is not easy to break.Once these levels are broken, they tend to become reverse obstacles.Therefore, in an uptrend market, the broken resistance level may become support for the upward trend; however, in a downtrend market, once the support level is broken, it will turn into resistance. 2. Understanding of lines and channels: Trend lines are a simple and practical tool in identifying the direction of market trends.The upward straight line is formed by at least two consecutive low points connected.Naturally, the second point must be higher than the first point.The extension of a straight line helps determine the path along which the market will move.Upward trend is a specific method used to identify support lines/levels.On the contrary, the downward line is drawn by connecting two or more points.The variability of trading lines is to some extent related to the number of connection points.However, it is worth mentioning that each point does not have to be too close.A channel is defined as an upward trend line parallel to the corresponding downward trend line.Two lines can represent price upward, downward, or horizontal corridors.The common attribute of a channel that supports the connection point of a trend line should be between the two connection points of its reverse line. 3. Understanding and understanding of the average line: If you believe in the creed of "trend is your friend" in technical analysis, then the moving average will benefit you a lot.The moving average shows the average price at a specific time in a specific period.They are called "moves" because they are measured at the same time and reflect the latest average. One of the shortcomings of moving averages is that they lag behind the market, so they are not necessarily a sign of a trend shift.To solve this problem, using a shorter period moving average of 5 or 10 days will better reflect recent price movements than a 40 or 200-day moving average.Alternatively, the moving average can also be used by combining two average lines of different time spans.Regardless of the use of 5 and 10-day moving averages, or 40- and 200-day moving averages, buy signals are usually detected when the shorter-term average crosses the longer-term average upward.In contrast, a sell signal will be prompted when the shorter-term average crosses the longer-term average downwards. In order to facilitate everyone to continue to follow up on my analysis and sharing, you can like and follow me; in addition, I will share the daily real-time strategy in the channel. If you can't follow up in real time, you may make operational errors.You can use the following methods to enter my channel for free to follow the latest news and follow up on market trends in real time.
FX:XAUUSDEducation
by Blessed_V
Who Moves the Forex Market | Forex Market Players Forex is the largest market in the world, with the tremendous daily trading volumes and millions of market participants. In this educational article, we will discuss who moves that market and who are its 6 the most significant players. 1. Governments Governments tend to set economic goals and influence the markets with their political decision. They define the course of their nations, issuing policies and imposing regulations. 2. Central banks Central banks implement the decisions of the governments, applying multiple instruments: Central banks control the emission of the money, shifting the supply and demand. They control interest rates and define the credit policies. Central banks control the international trade and sustain the exchange rates of the national currencies by interventions and handling the foreign currencies and gold reserves. 3. Commercial banks Commercial banks handle the international transactions. Over 70% of total Forex Market transactions directly refers to the actives of commercial banks. Commercial banks are also involved in speculation activities, benefiting from market fluctuations by relying on various strategies. 4. Corporations Corporation is the business that operates in multiple countries. With the constant capital flow between its branches and counterparts, corporations are permanently involved in a currency exchange. Also, corporations usually hedge currency risks, storing their liquidity in particular currencies. 5. Investment funds By investment funds, we imply the international or domestic professional money management companies. Dealing with hundreds of millions of investments, they quite often are operating on Forex market, buying foreign assets, speculating and hedging. 6. Retail traders The main goal of retails traders and speculators is to make short terms profits from their transactions on the market. Typically, the activities of traders constitute a relatively small portion of total trading volumes. Knowing which forces move the forex market, you can better understand how it works. The spot prices that you see on the charts reflect the sentiment of all the above-mentioned participants. ❤️Please, support my work with like, thank you!❤️
OANDA:XAUUSDEducation
by VasilyTrader
4
How Leverage Really Works | Margin Trading Explained Leveraged trading allows even small retail traders to make money trading different financial markets. With a borrowed capital from your broker, you can empower your trading positions. The broker gives you a multiplier x10, x50, x100 (or other) referring to the number of times your trading positions are enhanced. Brokers offer leverage at a cost based on the amount of borrowed funds you’re using and they charge you per each day that you maintain a leveraged position open. For example, let's take EURUSD pair. Let's buy Euro against the Dollar with the hope that the exchange rate will rise. Buying that on spot with 1.195 ask price and selling that on 1.23 price we can make a profit by selling the same amount of EURUSD back to the broker. With x50 leverage, our return will be 50 times scaled. With the leverage, we can benefit even on small price fluctuations not having a huge margin. ❗️Remember that leverage will also multiply the potential downside risk in case if the trade does not play out. In case of a bearish continuation on EURUSD , the leveraged loss will be paid from our margin to the broker. For that reason, it is so important to set a stop loss and calculate the risks before the trading position is opened. Let me know, traders, what do you want to learn in the next educational post?
Education
by VasilyTrader
10
5 Tips For Managing Losing Trades (It Happens To Everyone)Losing trades happen. They are apart of the journey. There is simply no such thing as a trader or investor who wins all the time. All the famous investors or traders you know have LOST many times in their career. It is perfectly normal. Did you know the famed hedge fund manager Ray Dalio lost everything in his 30s? He went broke. He had to start over from scratch. This post will address what losing trades really mean and how to deal with it. Before we begin, let us state the obvious: - Be careful of people who claim they don't lose. - Avoid people who flaunt win rates or success rates that are simply not possible. - Losing trades happen to everyone! You are not alone. Now, let's talk about what bad trades mean and 5 tips for managing them: Number 1: A losing trade is different from a bad trade The most experienced traders are well aware of their risk before they ever place a trade. Each losing trade is a small component of a bigger process that relates to a system, plan or strategy that has been thoroughly tested and studied. A losing trade is a calculated event for experienced traders. They defined their risk, position size, stop loss, and profit target. 🎯 A bad trade is very different. A bad trade implies someone risked their hard earned money with no plan or process. A bad trade is reckless and indiscriminate trading. This often happens to new investors or traders who do not yet understand the time, studying, and research that goes into making a rock solid plan. Be sure to remember the difference between a calculated losing trade and a bad trade with no plan or process. TradingView Tip: there are several ways to get started with a plan, system or process. Paper trading, backtesting and/or working with proficient traders who give valuable feedback are all ways to get started. Don't risk your money without first doing research. Number 2: Every losing trade provides data to get better As we've mentioned several times now, losing trades happen to everyone. But remember, losing trades are also filled with insightful information and data. You can learn a lot from analyzing losing trades. 🔍 At the end of each trading day, week or month, experienced traders will analyze their losing trades in detail. What patterns are appearing? What do they share in common? Why did they happen? With this information, a trader or investor can adjust their strategy based on what they've uncovered. Number 3: Do not let losing trades impact your health Your mental and physical health are just as important as your financial health. Do not let losing trades impact either of those. If your system is breaking down or several losing trades are starting to impact your emotions, step away from the computer or phone. Turn everything off and walk away. The markets have been open for hundreds of years and are not going away. When you're ready to come back, they'll be there. Get up, get some fresh air, and get back in the arena when you're ready. Number 4: Share your experiences with others Traders and investors across the globe want to learn from your stories and losing trades. These are invaluable experiences that we all share in common. Social networks allow you to chat, share, and meet people who are going through similar things. We can all learn from each other. Sure, the temptation to share your winners or act like the best trader who ever existed is tempting 😜 - but it's clear we learn together and get better when we share lessons from the loses. This is where the deepest insights are found, and together, it's where we can grow as a community of traders all trying to outperform the market. Share and ask for constructive feedback! Number 5: Keep Going Markets are a game of learning, relearning, and progressing forward. New themes, trends, and stories appear and disappear daily. The journey is long and it never stops. When implementing your trading plan or investing plan, it's important to do it with the long-term in mind. One or two losing trades in a single day or week is a small fraction of what's to come many months and years down the road. 🌎 Keep going. Keep building. Keep refining your plan. Study the data. We hope you enjoyed this post! We hope you learned something new or informative! Please leave any comments below and our team will read them. - TradingView ❤️
NASDAQ:MSFTEducation
by TradingView
150
Algorithmic Trading: Trading StrategiesTypes of Trading Strategies When it comes to algorithmic trading, there are various types of trading strategies that traders use to identify trading opportunities and execute trades. In this chapter, we'll provide an overview of the most popular trading strategies used by algorithmic traders. Momentum Trading Momentum trading is a strategy where traders buy securities that are trending upwards and sell securities that are trending downwards. The idea behind this strategy is that trends tend to persist, so a security that is currently increasing in price is likely to continue to do so. Momentum traders typically use technical indicators such as moving averages, relative strength index (RSI), and stochastics to identify securities that are exhibiting strong momentum. Mean Reversion Trading Mean reversion trading is a strategy where traders buy securities that are currently trading below their mean or average price and sell securities that are trading above their mean or average price. The idea behind this strategy is that prices tend to revert to their mean over time. Mean reversion traders typically use technical indicators such as Bollinger Bands, RSI, and moving averages to identify securities that are trading outside of their normal range. Trend Following Trend following is a strategy where traders buy securities that are trending upwards and sell securities that are trending downwards. The idea behind this strategy is that trends tend to persist, so a security that is currently increasing in price is likely to continue to do so. Trend following traders typically use technical indicators such as moving averages, RSI, and stochastics to identify securities that are exhibiting strong trends. Fundamental Analysis Fundamental analysis is a strategy where traders use financial and economic data to analyze the underlying value of a security. The idea behind this strategy is that the market is sometimes inefficient and misprices securities, and by analyzing the underlying fundamentals, traders can identify opportunities to buy undervalued securities and sell overvalued securities. Technical Analysis Technical analysis is a strategy where traders use charts and technical indicators to identify trading opportunities. The idea behind this strategy is that historical price and volume data can be used to predict future price movements. Technical analysts typically use charts, moving averages, RSI, and other technical indicators to identify patterns and trends that can be used to make trading decisions. Backtesting and Performance Evaluation Once traders have identified a trading strategy, they must test it using historical data to determine whether it is profitable. This process is known as backtesting. Traders typically use software platforms such as Python, MATLAB, or R to backtest their strategies. Backtesting involves simulating trades using historical data and evaluating the performance of the strategy over time. After backtesting, traders must evaluate the performance of their strategy to determine whether it is profitable. Traders typically use metrics such as the Sharpe ratio, the Sortino ratio, and the maximum drawdown to evaluate the performance of their strategy. Conclusion In this chapter, we provided an overview of the most popular trading strategies used by algorithmic traders. These strategies include momentum trading, mean reversion trading, trend following, fundamental analysis, and technical analysis. We also discussed the importance of backtesting and performance evaluation in determining the profitability of a trading strategy. It is important for traders to carefully consider their trading strategy and evaluate its performance before committing capital to it.
GEducation
by JS_TechTrading
The U.S. Dollar Index | Everything You Need to Know The U.S. Dollar Index is a measure of the value of the U.S. dollar against six other foreign currencies. Just as a stock index measures the value of a basket of securities relative to one another, the U.S. Dollar Index expresses the value of the dollar in relation to a “basket” of currencies. As the dollar gains strength, the index goes up and vice versa. The strength of the dollar can be considered a temperature read of U.S. economic performance, especially regarding exports. The greater the number of exports, the higher the demand for U.S. dollars to purchase American goods. The index is a geometric weighted average of six foreign currencies. Since the economy of each country (or group of countries) is of different size, each weighting is different. The countries included and their weights are as follows: Euro (EUR): 57.6 percent Japanese Yen (JPY): 13.6 percent British Pound (GBP): 11.9 percent Canadian Dollar (CAD): 9.1 percent Swedish Krona (SEK): 4.2 percent Swiss Franc (CHF): 3.6 percent The index is calculated using the following formula: USDX = 50.14348112 × EURUSD^-0.576 × USDJPY^0.136 × GBPUSD^-0.119 × USDCAD^0.091 × USDSEK^0.042 × USDCHF^0.036 When the U.S. dollar is used as the base currency, as in the example above, the value is positive. When the U.S. dollar is the quoted currency, the value will be negative. We constantly monitor the performance of DXY because very often it gives us great trading opportunities. ✅LIKE AND COMMENT MY IDEAS✅ Please, like this post and subscribe to our tradingview page!👍
OANDA:BTCUSDEducation
by EliteTradingSignals
6
Algorithm vs Human trading | Which one is the best?Introduction Algorithmic trading has been more popular in recent years, leading some investors to speculate that their human counterparts would soon become obsolete.  Algorithmic trading, according to some experts, provides a number of benefits over human trading, such as the capacity to examine data and make judgments more rapidly.  Nonetheless, there are many who believe that human traders still have value since computers cannot replace their expertise and intuition.  In this article, we'll take a look at the pros and cons of algorithmic trading and discuss its use in the financial markets. Gains from Algorithmic Trading Algorithmic trading has the benefit of being quick. Trading choices may be made by algorithms in microseconds, far quicker than by humans.  This enables investors to take advantage of opportunities that may be missed by human traders and respond swiftly to shifts in the market.  Algorithms also have the benefit of being able to trade around the clock, seven days a week, expanding the hours during which markets may be monitored and exploited. Eliminating human emotion from trading choices is another benefit of algorithmic trading.  When human traders let their emotions cloud their judgment, the results may be disastrous.  Trading judgments made by algorithms, on the other hand, are more likely to be consistent and objective since they are based on facts and logic rather than emotion. Last but not least, trading fees might be lowered with the use of algorithmic trading.  Algorithms eliminate the potential for human mistake and save money on transaction fees by trading automatically. Algorithmic Trading's Drawbacks While algorithmic trading has many benefits, it is also possible that it might have negatives.  The potential for mistakes to be made by trading algorithms is a worry. Mistakes made by algorithms might be costly if they aren't recognized right away.  In addition, losses are possible while using trading algorithms since they are pre-set to react in a predetermined way to market movements or occurrences. Lack of human intuition is another issue that has been raised in relation to algorithmic trading.  While algorithms are programmed to process information and execute trades, they may overlook intangibles like political events and fluctuations in public opinion.  Nonetheless, human traders may be able to employ non-data factors, such as intuition and experience, while making trading judgments. And last, algorithmic trading may amplify market volatility.  Algorithms' ability to rapidly respond to market shifts may both benefit traders and contribute to more volatility. How Humans Fit Into Algorithmic Markets Even if there are benefits to using algorithms to trade, human traders are still vital to the market.  A major benefit of human traders is that they may utilize their expertise and instincts while making trading judgments.  Those in the trading industry may account for intangibles like public sentiment and political events while making trades. Human traders have the benefit of being able to quickly adjust to new market conditions.  Algorithms are designed to make trades based on predetermined parameters, but they may not be able to adapt to sudden shifts in the market.  But, human traders may be better able to adjust to these shifts thanks to their expertise and intuition, allowing them to make non-data-driven trading judgments. At long last, human traders may supplement automated risk-control measures.  Although risk management algorithms may be set to minimize losses in theory,  human traders may be able to see threats that the software misses. Conclusion Although there are benefits to using an algorithm for trading, it is not yet eliminating the need for human traders.  Experienced human traders still play a crucial role in the market because machines cannot replicate their wisdom, insight, and responsiveness to sudden shifts.
Education
by Daveatt
2
5 New Algorithmic Trading StrategiesAlgorithmic trading has transformed the financial markets in recent years, enabling traders to make better-informed investment decisions and execute trades more quickly and accurately than ever before. As technology continues to evolve, new algorithmic trading strategies and techniques are emerging that promise to revolutionize the way that financial instruments are traded. In this article, we will discuss five new algorithmic trading strategies and techniques that are gaining popularity among traders. Machine Learning-Based Trading Machine learning is a branch of artificial intelligence that allows algorithms to learn from data and improve their performance over time. Machine learning-based trading is a strategy that uses algorithms to identify patterns in financial data and make predictions about future market movements. These algorithms can learn from both historical data and real-time market information to make trading decisions that are informed by a deep understanding of the underlying trends and patterns in the market. High-Frequency Trading High-frequency trading (HFT) is a strategy that uses algorithms to execute trades at lightning-fast speeds, often in milliseconds or microseconds. This strategy requires sophisticated algorithms and high-speed networks to be effective, and it is typically used by institutional investors and large trading firms. HFT is often associated with controversial practices such as front-running and flash crashes, but it can also be used to improve market liquidity and reduce trading costs for investors. Sentiment Analysis Sentiment analysis is a technique that uses natural language processing algorithms to analyze the tone and sentiment of news articles, social media posts, and other sources of public information. This technique can be used to identify trends and patterns in public sentiment that may affect the price of financial instruments. For example, if a news article about a company is overwhelmingly positive, sentiment analysis algorithms may predict that the stock price of that company will rise in the short term. Multi-Asset Trading Multi-asset trading is a strategy that involves trading multiple financial instruments across different markets and asset classes. This strategy requires algorithms that can analyze a wide range of data sources, including market news, economic indicators, and social media sentiment, to make informed decisions about which assets to trade and when to enter or exit positions. Multi-asset trading is often used by institutional investors and hedge funds to diversify their portfolios and hedge against market risk. Quantum Computing-Based Trading Quantum computing is a cutting-edge technology that promises to revolutionize many fields, including finance. Quantum computing-based trading is a strategy that uses algorithms that run on quantum computers to analyze complex financial data and make trading decisions. Quantum computing algorithms are able to analyze a much larger amount of data than classical computing algorithms, which can enable traders to identify hidden patterns and relationships in financial data that are difficult to detect using traditional techniques. In conclusion, algorithmic trading is an exciting and rapidly evolving field that is transforming the financial markets. The five strategies and techniques discussed in this article represent some of the most promising developments in the field, and they are likely to play a major role in the future of trading. As technology continues to advance, it is important for traders to stay informed about the latest developments in algorithmic trading and adopt new strategies and techniques to stay ahead of the curve.
BITSTAMP:BTCUSDEducation
by JS_TechTrading
Algorithmic Trading / Robo-TradingAlgorithmic Trading: Automating Financial Markets for Greater Efficiency and Profitability Explanation Algorithmic trading, also known as robo trading, is a process of using computer programs to execute trades automatically based on pre-defined rules or algorithms. It has revolutionized the way financial markets operate, making them more efficient, faster, and less prone to errors caused by human emotions. Advantages The advantages of algorithmic trading are numerous. Firstly, it enables traders to analyze vast amounts of data and execute trades with incredible speed and precision, resulting in improved profitability. It eliminates human error and bias, which are significant sources of trading losses. Secondly, algorithmic trading allows for 24/7 trading, regardless of the trader's location or time zone, which makes it possible to take advantage of global market movements. Finally, algorithmic trading also provides a level of transparency and accountability, as trades are executed automatically, and the outcomes are recorded in real-time. History The history of algorithmic trading dates back to the 1970s when the first computerized trading system was developed by the NYSE to automate the execution of large trades. The system was based on the principle of matching buyers and sellers electronically, and it soon became the norm for trading in the US equity markets. However, it was not until the 1990s that algorithmic trading began to gain traction in other financial markets. As computing power increased and access to market data improved, algorithmic trading systems became more sophisticated, enabling traders to execute trades with greater precision and accuracy. With the introduction of low-latency trading platforms in the 2000s, algorithmic trading became even faster and more efficient, allowing traders to take advantage of even the smallest market movements. Today, algorithmic trading is used in almost every financial market, including stocks, bonds, currencies, and commodities. It is estimated that more than 80% of all trades in the US equity markets are executed by algorithms, and the trend is growing in other financial markets worldwide. In conclusion, algorithmic trading has transformed the financial markets by improving their efficiency, speed, and profitability. It is a powerful tool for traders and investors, providing them with the ability to analyze vast amounts of data, execute trades with incredible speed and accuracy, and eliminate the emotional biases that often lead to trading losses. As technology continues to evolve, we can expect algorithmic trading to become even more sophisticated, providing traders with even greater opportunities to profit from the global financial markets.
BITSTAMP:BTCUSDEducation
by JS_TechTrading
What News to Follow | Top 5 Forex Fundamentals Economic indicators and announcements are an essential part of fundamental analysis. Even if you’re not planning on finding trades using fundamentals, it’s a good idea to pay attention to how the overall economy is performing. Here’s a cheat sheet covering six key indicators and announcements to watch out for. 1. Non-farm payrolls (NFP) The non-farm payrolls report estimates the net number of jobs gained in the US in the previous month – excluding those in farms, private households and non-profit organisations. 2. Consumer price index (CPI) The chief measure of inflation is the consumer price index, which measures the changing prices of a group of consumer goods and services. 3. Central bank meetings As we’ve seen, most traders follow economic figures so they can anticipate what a central bank might do next. So, it only makes sense that we pay attention to what happens when they actually meet and make decisions. 4. Consumer and business sentiment reports Multiple organisations are constantly surveying consumers and business leaders to create sentiment reports. While the number of reports they produce is staggering, they all play their part in shaping the markets’ expectation for the future. 5. Purchasing manager index (PMI) Purchasing manager indices measure the prevailing direction of economic trends in a given industry, according to the view of its purchasing managers. They are used as an indicator of the overall health of a sector. Pay close attention to these fundamentals. They play a crutial role in trading. ✅LIKE AND COMMENT MY IDEAS✅ Please, like this post and subscribe to our tradingview page!👍
OANDA:BTCUSDEducation
by EliteTradingSignals
8
The most common mistakes in trading Today, I will share a practical secret that I have learned for many years. Don’t hesitate when trading. If you hesitate, then don’t trade in the short term. Many people also have the habit of making trading plans. For example, I will enter the market at any position today, but when the opportunity really arises, I hesitate to make a decision. After the market ends, I find that I have made a profit, but I did not enter the market, and wait until the opportunity appears again. At that time, I thought to wait a little longer, but it turned out to be profitable again, and I still didn’t enter the market. Finally, I finally made up my mind that the next time I was in this position, I would definitely enter the market. As a result, when he entered the market, what he ushered in was a loss. In fact, in the trading market, good entry opportunities are fleeting and will not come often. If frequent entry opportunities appear, it must be a trap. When you have made a plan, all you need to do is Strictly implement, if you have no confidence when you enter the market, then I suggest that you do not make any transactions in the short term, because your plan has been disrupted, and the market likes to confuse your eyes and challenge your bottom line. It's also a psychological game. I make my trading plan every day and strictly implement it, so friends who follow me can receive my plan as soon as possible, which can be used as a reference, but I will choose to enter the market at the first time, if you hesitate, choose the second The second or third chance to enter the market, the probability of loss will increase a lot, so don’t do this, you can consult me to get the latest plan. ❤️Please, support my work with like, thank you!❤️
OANDA:XAUUSDEducation
by DailyPlan
18
Educational: How I use the CoT-Data to verify EW countsHi guys today I want to do a short educational on how I use the CoT-data to validate longer term EW counts. Normaly I update my CoT-Spreadheets on Sunday. But since we have been waiting for the data to be released for three weeks now, I have time to show you, how useful it can be. Unfortunately my english writing skills have detoriorated over time but I guess that my charts will make the point. I guess most of you have already heard about the CoT-Report and know what kind of data is report. So I go right in medias res. When looking at the CoT-Data I first calculate the net positions of the three trader categories. Here in Tradingview you find community indicators, that can do that for you. The idea is that large speculators are skilled traders that trade the trend. So when the market trend is up the net position of the large speculators should be long and in the best case increase from week to week. Usually the large speculators carry the largest net long position, when the trend is old and nearing the top. Commercials normaly do the opposite. They try to hedge their business (consumer) or lock in high prices (producer). In normal circumstances they mirror the position of the large speculators. So normaly you can follow the large speculator and profit form the market trend. The CoT-data gets interesting, when we near a turning point and the positions of the large speculators and commercials reach extreme levels. The idea here is, that large specs even though they have a large portfolio their monetary resources are limited whilst the hedging commercials have bigger pockets. When the position of the large specs reaches new highs one expect the trend to end because they have no more ammunition to ignite a further up or down move. On the other hand the commercials how know the fundamentals of the market can now ignite a move in the opposite direction. That is the basic idea. So what I do is to compare the net positon with historical position. Therefore I calculate an index over the last 3 years. The formula is Index = 100 * (current net position - minimum net) / (maximum net - minimum net). The index ranges from 0 = lowest net (short) position in free years and 100 highest (long) position in three years. When the index is above 80 or below 20 the market is ripe for a change in the larger trend. Unfortunately the CoT is only seldom a great instrument to time the market. Commercials can ride against the trend over extended periods. I know for sure, cause more than one time I had to close a position. But it is great as a filter or in combinination with EW or seasonality. When in a final wave 5 in either direction you want to see those extreme Index levels. For those interested I will continue below. But now I want to drive home one of the most important points. SPEED MATTERS! Commercials know the fundamentals of their market. And if they hastyly sell out and turn their position something big is going to happen. You can see this in the above chart of ES. More recent I have a chart of Bitcoin, were you can see, that commercials act swiftly if they see an opportunity. I produce a spreadsheet every week, were I calculate the current index value and the change from the week before and over 4 weeks. I hope that I that data will be released next friday so I can update. You can download the spreadsheet at docs.google.com In the spreadsheet you can also see the market bias. Market Bias is the net position of the large speculator minus the net position of the commercials. So if for example the large speculators are net long and the commercials are net short the net net position of the commercials will be added to the net position of the large speculator. The total balance then shows the amount of contracts in favor of the current trend. As with the index the change and speed of change is more important than the value itself. I hope you enjoyed this and gathered some helpful information and I will come up with some new EW analysis next week. Have a great weekend.
CME_MINI:ES1!Education
by Sideshow83
How to complete a trading journalIn short, a trading strategy is a plan that you draw up, taking into account a huge number of factors ... Starting from trading charts - ending with what the weather is like outside today. There you also fix negative things. All that leads to losses. Well, the most important thing for which we record all this is to make a super duper analysis and clearly and clearly see what the losses are due to. Further, of course, we try to exclude them. Why is it necessary? In order not to stand in one place and finally reduce the number of negative transactions. In order to be able to clearly identify all positive and negative factors, a trading journal is required, which should include: 1) Risk management strategy and profit taking. 2) Trading plan as you see it and tools to use in trading. 3) Psychological state when you feel greedy or fomo, from missed opportunities. For these factors, it will take a long and dreary time to collect statistics. The more the better, for good you need at least 3 months. In the diary of transactions, you can upload all your transactions that you opened. This is done again to collect statistics and further analysis. What I log: 1) The opening date of the transaction before the exact time. This is done in order to find this setup in the future and completely disassemble it in order to identify all errors and inaccuracies. 2) Traded pair. You enter the ticket of the tokens you are trading, it can be Bitcoin (BTC), Ethereum (ETH), I think it's understandable. 3) The side of the position is Long or Short. In the future, you can see why you opened this side here, it might be more accurate to open it in the opposite direction. Accordingly, you can also analyze your mistake. 4) Criteria for entering a trade. This will be the most important aspect of filling out the diary, since here you must clearly describe the criteria without reference to emotions and your needs. The main thing is to describe not what you want to see, but what the chart offers. Do not confuse these concepts, from your far-fetched Wishlist and binding to some kind of opinion, but clearly argue your thoughts regarding this position. Entry criteria can be the best trading tool you use, it can be a trend trade or other factors that you used for analysis. 5) Screenshot of the trade entry. The login screenshot is needed to determine your entry, whether you entered correctly and what were the factors for this entry. After that, this transaction is analyzed by the input and the correctness of the actions. 6) Screenshot of the trade exit. An exit screenshot is necessary to understand the error, why you got a loss and how you can avoid it in the future. 7) The results of the transaction. You just write down what profit / loss you recorded. You can enter % to the deposit and PNL at will. Personally, I only use % of the deposit. 8) Notes after the transaction. Here you should fully describe which notes for the future are worth emphasizing and which you will have to return to for a detailed analysis. Again, write your thoughts without being tied to emotions and the outcome of the transaction. 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"!
BITSTAMP:BTCUSDEducation
by Crypto4light
How to run your Strategy for automated cryptocurrency tradingTo run TradingView Strategy for real automatic trading at any Cryptocurrency you need: 1. Account at TradingView. (Tradingview.com) And it can’t be a free “Basic” plan. You must have any of available Paid packages (Pro, Pro+ or Premium). Because for automatic trading you need the “Webhook notifications” feature, which is not available in the “Basic” plan. 2. Account at your favorite big Crypto Exchange. You have to sign up with crypto exchange, and usually pass their verification ("KYC"). Not all exchanges are supported. But you can use most big "CEX" on the market. I recommend Binance (with lowest fees), Bybit, OKX, Gate.io, Bitget and some others. 3. Account at special “crypto-trading bot platforms”. Unfortunately you can’t directly send trade orders from TradingView to Crypto Exchange. You need an online platform which accepts Alert Notifications from TradingView and then – this platform will generate pre-programmed trade orders and will send them to a supported Crypto Exchange via API. There are few such crypto bot platforms which we can use. I personally have tested 3 of them. It’s "3commas", "Veles" and "RevenueBot". All of them have almost the same main function – they allow you to make and run automated DCA crypto bots. They have little different lists of supported Exchanges, different lists of additional options and features. But all of them have main feature – they can accept Alert Notifications from TradingView! 3commas is more expensive. RevenueBot and Veles – have the same low price – they take 20% from your trade Profit, but no more than $50 per month! So you can easily test them without big expenses. 4. Combine everything into One Automatic System! Once you have all accounts registered and ready – you can set up all into one system. You have to: 1. Create on your Crypto Exchange – "API" key which will allow auto trading. 2. Create on the bot platform (3commas, RevenueBot, Veles) – new bot, with pre-programmed trading parameters. (token name, sum, long/short, stop-loss, take-profit, amount of orders etc) 3. On TradingView configure (optimise) parameters of the strategy you want to use for trading. 4. Once it’s done and backtests show good results – you should create “Alert” on the strategy page. You have to point this alert to “webhook url” provided to you by the crypto-bot platform (and also enter the needed “message” of the alert). For each of the bot platforms, you can find the details on how to set them up on their official sites. If you do not understand it and need help, please contact me.
Education
by dimkud
7
How to create simple web-hook to send alerts to TelegramHello Traders, In this video, I have demonstrated how to create a simple web-hook which can send your Tradingview alerts to Telegram channel or group for zero cost. ⬜ Tools Used ▶ Telegram Messenger ▶ Replit - Cloud platform for hosting small programs ▶ Postman - To test web-hooks before going live (Optional) ▶ Cronjob - To set health-check and keep bot alive ⬜ Steps ▶ Create Telegram Bot Find BotFather and issue command /newbot Provide bot name Provide bot username - which should be unique and end with _bot Once bot is created, you will get a message with token access key in it. Store the token access key. ▶ Prepare Telegram Channel Create new telegram channel Add the bot @username_to_id_bot to it as admin and issue /start to find chat id Store the chat id and dismiss @username_to_id_bot from channel Find the bot created in previous step using bot username and add it to channel as admin ▶ Setup replit Create a free Replit account if you do not have it already. Fork the repl - Tradingview-Telegram-Bot to your space and give a name of your choice. Set environment variables - TOKEN and CHANNEL which are acquired from previous steps. Run the REPL ▶ Test with postman Use the URL on repl and create web-hook post request URL by adding /webhook to it. Create post request on postman and send it. You can see that messages sent via postman appearing in your telegram channel. append ?jsonRequest=true if you are using json output from alerts. Json request example: ▶ Set alerts from tradingview to web-hook Use web-hook option and enter the webhook tested from postman in the web-hook URL And that's all, the webhook for Telegram Alerts is ready!! Thanks for watching. Hope you enjoyed the video and learned from it :) PS: I have made use of extracts from the open github repo: github.com
COINBASE:ETHUSDEducation
by Trendoscope
165
5 red flags: When to change your trading strategy?Trading is a constant balancing act between risk and reward. Developing a successful trading strategy is a significant accomplishment in its own right, but it is equally important to know when it is time to adjust your approach or when to abandon it altogether. To help you stay ahead of the curve, I've identified the 5 telltale red flags that signal it could be time to change your strategy. Whether it's a shift in market conditions or a decline in performance, these red flags are crucial indicators that something needs to change. Why can live trading results deviate from backtest? It is not uncommon for live trading results to differ from the results obtained during backtesting. The main reasons for it are: 1. Improper Backtesting Methodology This is kind of an "umbrella term" for everything that can go wrong while backtesting, but the facts remain: Backtesting requires a robust methodology to provide reliable results. If the methodology is flawed, the results of the backtest may not accurately reflect the strategy's performance. Common issues include overfitting to past data, using insufficient data ( or cherry-picking your data - talk about introducing a bias into your results! ), or not accounting for transaction costs. 2. Overfitting to Past Data The most common culprit for live trading performance not achieving backtesting expectations is overfitting to past data. Overfitting occurs when a strategy is designed to fit the past performance of a market too closely, leading to a false representation of its potential future performance. Overfitted strategies have beautiful backtesting results but live trading performance fails to deliver even a resemblance of such results. A typical example would be using an overly specific period of any indicator - such as EMA(103). 3. Strategy Not as Robust as Thought Backtesting can provide a false sense of security, and traders may not fully appreciate the limitations of their strategy until they begin live trading. For example, a strategy that performs well in a trending market environment may not perform well in ranging conditions, or a strategy may be vulnerable to certain market events that were not accounted for during backtesting. 4. Execution Issues Live trading often involves executing trades in real-time, which can be subject to various challenges that were not present during backtesting. For example, slippage, latency, or data inaccuracies can all affect the performance of a strategy. 5. Market Conditions Have Changed I almost don't want to add this one to the list, because I worry most people will use this as a scapegoat, and not examine in detail all the previously mentioned reasons, that they actually can influence. But the fact is, the market is dynamic, and conditions can change rapidly. Changes in central bank policy, the introduction of new market participants, shifts in investor sentiment, or changes in economic conditions can all impact a strategy's performance. You must be aware of these potential issues and take steps to address them. This includes ensuring a robust backtesting methodology, regularly monitoring and adjusting the strategies, and being prepared to adapt to changing market conditions. What to do if your strategy shows any of these red flags When you encounter red flags in your trading strategy, it's crucial to take prompt and decisive action. Personally, if my strategy deviates beyond the backtested results in any of the five metrics mentioned below, I immediately stop live trading and switch to paper trading to monitor its performance. A robust backtesting methodology should provide a reliable indicator of the strategy's performance, and any deviation from the backtested results should be taken as a sign that further examination is needed. I cannot recommend any leniency in this matter ( translation: Every time I did, it was a painful lesson ). If you're getting to this position often, it suggests that your backtesting methodology is not robust enough. My guess is: you are either overfitting to past data, or introducing any of the dozens of biases that come with backtesting. The red flags I picked these red flags because of their importance or ability to provide a signal early on. It's important to note that the following list is possibly subjective. Not everyone will agree with me on this list. Everyone will agree, however, that it is a good reason to stop a strategy from live trading if it has significantly deviated from its backtested results . Many traders mistakenly believe that an automated strategy is a "set-and-forget" system. It's not. It is crucial to monitor its performance and be prepared to make adjustments or even stop the strategy if necessary. You might monitor different parameters than me, but you need to monitor something. Make sure your hard work of testing and developing a strategy with a positive expectancy doesn't go to waste. 1. Max drawdown The first and most critical red flag to watch out for is the difference in maximum drawdown between the live trading strategy and its backtested version . Maximum drawdown is a measure of the largest decrease from a peak to a trough in the value of your portfolio balance, expressed as a percentage of the drop from the peak value. Say you started with 100, traded the account up to 150 with a handful of wins, and now you are at 135 after two losses. Your current drawdown is 10%, and as long as your drop from the current peak was not higher until now, this is also your max drawdown. The drawdown curve as a whole is a crucial indicator to monitor. Its other secondary parameters can provide further insight into the performance of your trading strategy. These include: The steepness of the drawdown curve - a steep curve indicates a rapid decrease in value caused by a handful of big losses, while a more gradual curve indicates a slower decline - a longer streak of smaller losses. The number of trades it took to reach the maximum drawdown - a high number of trades indicates a long period of poor performance, while a low number indicates a short period of sizeable losses. Total recovery time - the length of time it takes to recover from the maximum drawdown can provide insight into the resilience of your strategy. Generally, you want a more resilient strategy with quick recovery. By monitoring these parameters in addition to the maximum drawdown, you can gain a more comprehensive understanding of the performance of your trading strategy and make informed decisions about any necessary changes. Side note: To help you gauge the downside risk, calculate your strategy's Ulcer Index . 2. The losing streak length and frequency A losing streak is a consecutive sequence of trades that result in losses. If the maximum length of the losing streak in live trading exceeds the results obtained during backtesting, it could indicate that the strategy may not be as consistent or reliable as originally believed. Try to examine how you would feel in these streaks. If, for example, your strategy regularly alternates between wins and losses, you'll probably feel fine. But if you have periods of long winning streaks and then periods of long losing streaks, it could be emotionally hard to handle. You could get an "itchy hand" and try to fiddle with your strategy even if the losing streak should have been expected since it occurred in the backtest. 3. The Recovery time The total drawdown time can be oversimplified as follows: Total Drawdown Time = Drawdown Time + Recovery Time We looked at the Drawdown time already - in the first red flag, so let's examine the recovery time. The recovery time is the time it takes for the strategy to return to a profitable state from the point of max drawdown. For the recovery time, I have basically only one rule: It has to be more aggressive, than the drawdown time. I want to see a faster recovery than the drawdown time. This happens when your average win is larger than your average loss. Such behavior I consider healthy, and it only motivates me to look at the drawdown period more closely ( Is there a pattern in the drawdown occurrences? Can I identify them and filter them out somehow? ) 4. Win rate This red flag is self-explanatory. The win rate of your live traded strategy should not be significantly different from the backtested version. However, you need to make sure you have enough data before you make any decisions. And therefore it is not the first actionable indicator that something might have gone awry. 5. The trade duration The trade duration difference between your strategy's backtested and live traded versions is another vital red flag to look out for. Trade duration refers to the time a trade is kept open, from entry to exit. If, for example, the trade duration in your backtest was anywhere between 30 min and 4 hours, but in live trading conditions, you observe a handful of trades with a duration of 20 hours. Is that a cause for concern? Does it warrant stopping the strategy? Consider the reasons behind such deviations, as it could be an early example of changing market conditions, mismatches in trade execution, or other factors. In the above example, if you opened a trade at the end of the New York session and closed in the London session, maybe the Asian countries had a national holiday and therefore left markets completely illiquid, but the strategy did what was expected. It is also a good idea to look at the distribution of trades in time. For example, if your backtesting was calibrated to trade during the London and New York sessions, but the live trading strategy generates the majority of trades during the Asian session, this could be a sign of discrepancies that might need to be addressed. Conclusion Knowing when to stop a strategy from live trading is integral to the day trading process. By closely monitoring key metrics and values, and comparing them to the results of your backtesting, you can make an informed decision about whether to continue using a strategy, invest time in improving it, or stop it altogether and look for a better one. And whether you monitor the same indicators or develop your own, as long as you regularly check in on your strategy's results, you are on your way to improving your chances of achieving long-term profitability. I wish you all the best in your trading journey!
CME_MINI:ES1!Education
by CleoFinance
An updated version of my limit order strategyIt's been a while since I've posted anything here. I mostly don't hang out on tradingview anymore, but still check in every now and again. Anyway, if you're reading this, you're probably familiar with my old limit order breakout-retest strategy, where you're pricing the market on breakouts and collecting profits on retests. I've updated this for reliability, but it is more difficult to execute now so you'll have to pay attention and spend a good amount of time testing this for yourself on a demo account. The method is simple (to me at least): 1) With limit orders, you're attempting to go with the direction of the trend. This means that in an uptrend, you're going to find the breakout point of the current move and the swing low from the previous move. 2) From the breakout point to the latest high, you're going to either eyeball a 50% retracement level, or draw a chart for it (will show this below), and then you're going to be placing tiny limit orders going all the way from that 50% retracement down to the swing low of the previous move. You're going to price the market in a wide area this way. You will likely require a script or a bot to do this, as it's slow with inconsistent spacing if you do it by hand. 3) You're going to have a hedge stop instead of a stop loss, at the swing low of the previous move. This is where it gets dangerous and will require practice. The hedge stop will be a stop order with a position size equal to all of your limits combined. I said kind of a lot in all those pics, but I hope I got the message across. :D Make sure you get yourself a script or bot of some sort to deploy those limit orders. If you do it by hand, you'll likely have less of them (which is fine), but always understand your risk before the play is made. On metatrader, I use a "Lines profit loss" indicator to show me the accumulated total of all of my trades. I can drag the line along the screen to see what my P&L will be if price reaches x point. You should get something like this too, or commission it if your platform doesn't have it. Understanding risk numbers is very important for this strategy. Anyway. I hope this helps someone!
Education
by WinkleTrades
Manipulation strategyWe all know that markets are highly manipulated and the traders have to look for a signs of manipulation. There are a lot of types of manipulation - imbalance, candle without wick, liquidity grab and so on. On the chart I marked few areas, where price was manipulated and reversed. The strategy shows you how to recognise the manipulation patterns. It is based on smart money concept, but it is more focused on the liquidity grab and the low liquidity moves. So for example: On this chart I marked areas, where price created low liquidity moves and the results are strong movements on the manipulated direction. Why these examples are low liquidity moves? Because price cleared a lot of stop losses and inject fresh money in the market. The banks do not invest into the markets, they generate money in order to profit. In the first rectangle (lower one) - price created triple bottom - this is a major reversal retail pattern and created major liquidity pool, but look closer. Creating the pattern, price also took out lot of liquidity and moved away. In the second rectangle (the wedge) - price also created low liquidity move, because every time it gave strong signs of reversal tricking the traders to sell or buy and then took them out. Rule : In order price to move in one direction the institutions must buy or sell. To accumulate orders they should inject money in the market. The injections are liquidity grab in many ways and types. The markets can not move always with low liquidity moves and always stay in efficiency. The liquidity must to be created first, so that traders can come into the market and later to be taken out. As every strategy the "Manipulation strategy" sometimes give us false signals, but it is most accurate strategy. For example in consolidation we may see many false signals, but this is not because the strategy failed, it is because price was manipulated constantly. This is not smart money concept. The strategy is not focused on order blocks and breaker blocks, it is focused on low liquidity moves. The manipulation areas are also the true support and resistance, because when the banks buy or sell from the specific level, they will protect this level, if it is not targeted. Markets moves up and down, taking the buy side and sell side liquidity, this is the way that swings are formed. They are not forming based on retail support and resistance or Fibonacci numbers. How to use: 1) Calculate the liquidity - look for retail pattern - double top/bottom, previous high or low, support or resistance or every other obvious buy/sell zone. 2) Wait price to clear the level - liquidity grab. 3) Wait until price form low liquidity move(pattern). 4) Buy/Sell to the opposite liquidity pool.
FOREXCOM:XAUUSDEducation
by SerpentForexClub
Become a Better Trader with Bar ReplayIf you're a trader, you know that success in the market requires both skill and experience. But what if you could gain experience without risking your hard-earned cash? That's where TradingView's Bar Replay feature comes in. It's a powerful tool that allows traders to improve their skills by replaying historical market data in a risk-free environment. Bar Replay is like having a time machine for the market. With this feature, you can select any historical date and time and replay the market data as if you were trading in real-time. As the market moves, you can test out different strategies, analyze your performance, and make adjustments to your approach. And the best part? You won't lose any money if you make a mistake! So, how can you use Bar Replay to improve your trading skills? Let's take a look at some tips: Identify your weaknesses: One of the best ways to improve your trading skills is to identify your weaknesses. When replaying market data, pay close attention to the trades that didn't go your way. Ask yourself why they failed and what you could have done differently. Fine-tune your strategy: Once you've identified your weaknesses, it's time to fine-tune your strategy. Test out different approaches and see how they perform in the historical data. Adjust your approach until you find one that consistently generates positive results. Develop a routine: Trading can be stressful, and it's easy to make impulsive decisions. By developing a routine and sticking to it, you can reduce stress and improve your decision-making. Use Bar Replay to practice your routine and make it a habit. Practice risk management: Risk management is crucial to successful trading. Use Bar Replay to test out different risk management approaches and see how they perform over time. By finding the right balance between risk and reward, you can improve your profitability. In conclusion, TradingView's Bar Replay feature is a powerful tool for traders who want to improve their skills. By identifying weaknesses, fine-tuning your strategy, developing a routine, and practicing risk management, you can take your trading to the next level. So, fire up Bar Replay and start improving your skills today!
AMEX:SPYEducation
by TrendFlowIndicator
Smart Money Concept - TerminologyToday i would like to share full list of basic terminology Smart Money Concept To all newbies this list will be useful HH (Higher High) - high maximum HL (Higher Low) - high low LH (Lower High) - low high LL (Lower Low) - low minimum Fib (Fibonacci) PDH is the high of the previous day. PDL is the low of the previous day. PWH is the high of the previous week. PWL is the low of the previous week. DO - opening of the day. WO - opening of the week. MO is the opening of the month. YO - discovery of the year. TF (TF) – timeframe MN (Monthly) - monthly W (Weekly) - weekly D (Daily) - daily H4 (4 hours) - 4 hours H1 (1 hour) M15 (15 minute) - 15 minutes M1 (1 minute) MS (Market Structure) - market structure BOS (Break of Structure) MOM (Momentum) - momentum. Time difference between impulse and corrective wave HTF (Higher Time Frame) LTF (Lower Time Frame) – lower timeframe RSP (Real Structure Point) - key structural point PRZ (Price Reversal Zone) – price reversal zone CPB (Complex Pullback) RR (Risk:Reward) – risk/reward TGT (Target) SL (Stop-loss) - stop order BE (Breakeven) - breakeven PA (Price Action) - price movement Liq (Liquidity) – liquidity EQH (Equal Highs) - equal highs EQL (Equal Lows) - equal lows SMC (Smart Money Concept) - the concept of smart money DD (Drawdown) - drawdown Be (Bearish) – bearish trend Bu (Bullish) – bullish trend HNS (Head and Shoulders) - head and shoulders IT (Institutional Traders) - institutional traders CO (Composite Operators) - composite operators WHB (Weak Handed Buyers) - Weak Buyers WHS (Weak Handed Sellers) - Weak Sellers DP or POI (Decision Point) or (Point of Interest) - decision point or point of interest IMB (Imbalance) - imbalance SHC (Stop Hunt Candle) OB (Order Block) - block of orders OBIM (Order Block with Imbalance) - a block of orders with an imbalance OBOB (Lower timeframe Order Block with a higher timeframe Order Block) – LTF order block in the HTF order block zone WKF (Wyckoff) PS (Preliminary Support) - preliminary support PSY (Preliminary Supply) - preliminary offer SC (Selling Climax) - Selling Climax AR (Automatic Rally) - automatic rally ST(Secondary Test) - secondary test SPR (Spring) - the final position by a major player, followed by the liquidation of the last players in the market Test (Test) SOS (Sign of Strength) - a sign of strength SOW (Sign of Weakness) - a sign of weakness LPS (Last Point of Support/Supply) LPSY (Last Point of Supply) - the last point of the offer BU (Back-up) - price return to the range to cover the imbalance JAC (Jump across the creek) is another name for SOS UT (Upthrust) - the primary move out of the range to capture liquidity TR (Trading Range) – trading range WAS (Wyckoff Accumulation Schematic) WDS (Wyckoff Distribution Schematic) WICK - a candle with a long shadow, which removes liquidity, stops. A squeeze is a rapid rise or fall in prices. Range - sideways price movement in a certain period without updating highs and lows. Deviation (deviation) - a false exit, beyond the boundaries of the range. EQ - (equlibrium) - the middle of the range. TBX is the entry point. Take Profit - take profit. STB - sweep (manipulation) of liquidity, the sale of an asset before growth. BTS - sweep (manipulation) of liquidity, the purchase of an asset before the fall. AMD (accumulation manipulation distribution) - accumulation, manipulation, distribution ( distribution) 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"!
BITSTAMP:BTCUSDEducation
by Crypto4light
3
E-Book Gift + TRADABLE VS NON-TRADABLE ORDER BLOCKSABBREVIATIONS & DEFINATIONS ORDER BLOCK OB is a Down/Up Candle at/near Support or Resistance before the move Up/Down, respectively. Down Candle is a Bearish Candle Up Candle is a Bullish Candle Bullish Order Block is Down candle at/near Support level, before the move up Bearish Order Block is Up Candle at/near the Resistance level, before the move down IMBALANCE This is Insufficient Trading in the market. Sometimes called Liquidity Void . When there is insufficient trading in the market, the price often comes back to fill out the orders that were left. Imbalance is created by 2-3 or more Extended Range Candles ERC candle often closes at 80% of the candle range Assumptions; When the Market Maker want to move price up at a certain level, it is assumed that, there should be enough sell orders to pair their buy orders with (this is how they make profit). So, when the MM moves away from a given level with strength and magnitude, leaving behind a LV (IMB), we can use this to assume that sell orders that were available at that level were not enough to pair with their Buy Orders. Therefore, the MM will, often, come back at this level for mitigation MITIGATION Mitigation means; to reduce risk. When the MM moves price away from a level with strength and magnitude, say they are buying; it is assumed that this is used to entice retail traders to join the move. And because most retail traders are price chasers, they join the ride with their Stop Loses set. This is the reason (assumed) that the MM will come back to clear retail traders SL. When their (Retail Traders) SL are hit, they are knocked out of the move, hence MM mitigating their risk (THEY WILL RESUME THE INITIAL TREND HENCE MOVING ALONE). you can download that E-book from below URL
Education
by HoneyCreateMoney