How can AI help to improve algorithmic trading strategies?AI is transforming the field of algorithmic trading, which involves using computer programs to execute trades based on predefined rules and strategies. AI can help to improve algorithmic trading performance and efficiency by providing advanced data analysis, predictive modeling, and optimization techniques. In this article, we will explore some of the ways that AI can enhance algorithmic trading and some of the challenges and opportunities that lie ahead.
One of the main advantages of AI in algorithmic trading is its ability to process and interpret large and complex data sets in real-time. AI algorithms can leverage various sources of data, such as market prices, volumes, news, social media, sentiment, and historical trends, to identify patterns, correlations, and anomalies that may indicate trading opportunities. AI can also use natural language processing (NLP) and computer vision to extract relevant information from unstructured data, such as text, images, and videos.
Another benefit of AI in algorithmic trading is its ability to learn from data and adapt to changing market conditions. AI algorithms can use machine learning (ML) and deep learning (DL) techniques to train on historical and live data and generate predictive models that can forecast future market movements and outcomes. AI can also use reinforcement learning (RL) techniques to learn from its own actions and feedback and optimize its trading strategies over time.
A further aspect of AI in algorithmic trading is its ability to optimize trading performance and reduce costs. AI algorithms can use mathematical optimization methods to find the optimal combination of parameters, such as entry and exit points, order size, timing, and risk management, that can maximize profits and minimize losses. AI can also use high-frequency trading (HFT) techniques to execute trades at high speeds and volumes, taking advantage of small price fluctuations and arbitrage opportunities. AI can also help to reduce transaction costs, such as commissions, fees, slippage, and market impact, by using smart order routing and execution algorithms that can find the best available prices and liquidity across multiple venues.
However, AI in algorithmic trading also faces some challenges and limitations that need to be addressed. One of the main challenges is the quality and reliability of data. AI algorithms depend on accurate and timely data to perform well, but data sources may be incomplete, inconsistent, noisy, or outdated. Data may also be subject to manipulation or hacking by malicious actors who may try to influence or deceive the algorithms. Therefore, AI algorithms need to have robust data validation, verification, and security mechanisms to ensure data integrity and trustworthiness.
Another challenge is the complexity and interpretability of AI algorithms. AI algorithms may use sophisticated and nonlinear models that are difficult to understand and explain. This may pose a problem for traders who need to monitor and control their algorithms and regulators who need to oversee and audit their activities. Moreover, AI algorithms may exhibit unexpected or undesirable behaviors or outcomes that may harm the traders or the market stability. Therefore, AI algorithms need to have transparent and explainable methods that can provide clear and meaningful insights into their logic and decisions.
However, there are also ethical and social implications of AI in algorithmic trading. AI algorithms may have an impact on the market efficiency, fairness, and inclusiveness. For example, AI algorithms may create or amplify market inefficiencies or distortions by exploiting information asymmetries or creating feedback loops or cascades. AI algorithms may also create or exacerbate market inequalities or exclusions by favoring certain groups or individuals over others or by creating barriers to entry or access for new or small players. Therefore, AI algorithms need to have ethical and social principles that can ensure their alignment with human values and interests.
In conclusion, AI is a powerful tool that can help to improve algorithmic trading strategies and performance by providing advanced data analysis, predictive modeling, and optimization techniques. However, AI also poses some challenges and risks that need to be addressed by ensuring data quality and reliability, algorithm complexity and interpretability, and ethical and social implications. By doing so, AI can create a more efficient, effective, and equitable algorithmic trading environment for all stakeholders.
Risk Management
Patience is a Virtue in Trading! Learn Why:
In trading, timing is everything. Winning traders are patient. They know how to control their impulses so as to act decisively at the opportune moment. Rather than acting on a whim, they carefully devise a detailed trading plan, in which precise entry and exit strategies are specified, and strictly follow it. Discipline is the key to successful trading. Although discipline can be learned, some people are more disciplined and self-controlled than others. It is useful to determine where you stand on this trait, and if you’re impulsive, developing psychological strategies to compensate for it will allow you to trade profitably.
Research studies have demonstrated that some people have difficulty delaying gratification. In the jargon of behavioural economics, they “discount delayed rewards.” That is, they would rather take a small profit now, instead of waiting for a larger profit later. Depending on your style of trading, discounting a delayed reward can be a problem.
For a long-term investor, for example, it is necessary to buy-and-hold long enough for one’s long term strategy to play out. There may be minor fluctuations during the waiting period, but seasoned investors have learned to wait it out. Most novice investors, in contrast, impulsively sell as the masses panic and buy the stock back at a top, which usually results in a losing trade.
If you are a long-term investor, it is necessary to be able to control your impulse to make a profit and allow the price to rise over time. Even shorter-term traders, such as a swing trader, must fight the urge to sell early. Although trades are held for much shorter windows, a swing trader must know how to wait patiently for the optimal time to sell. Selling a winner too early is not going to allow one’s account balance to increase exponentially at an ideal rate.
The scalper is at the opposite end of the spectrum. Most scalpers feel an overpowering need to take a quick profit as soon as they can get it. To some extent, it may be wise for a person who has trouble patiently waiting for the price of an investment instrument to increase to become a scalper.
The conventional wisdom these days, however, is that decimalization has made scalping less viable. It is useful to take other steps to work around one’s inclination to sell prematurely. For example, one can use the automatic settings on one’s trading platform to specify an exit strategy. It has often been said that looking at one’s screen during the trading day is like sitting in front of a slot machine and trying to resist gambling.
It’s hard. Just as the one-armed bandit tempts recreational gamblers, charts and indicators on a computer screen tempt seasoned and novice traders alike to make hasty trading decisions. It may be useful to refrain from constantly looking at how a particular stock or commodity is doing while you’re waiting for your trading plan to play out. If you have to walk away, while having the automatic settings on to manage risk, then, by all means, turn off your screens or walk away.
It is also useful to objectify the trade. The more you can learn to view the trade objectively, as if you just don’t care what happens, the more you’ll be able to resist the temptation to close out a trade prematurely. A cold, rational approach to trading, along with a detailed trading plan, is the best defence against impulsive trading decisions.
Patience is a virtue when attempting to trade profitably. It is useful to remember that humans have a strong, natural tendency to avoid risk and loss at all costs. This tendency often protects us from harm, but there are times when it can compel us to act impulsively. We are naturally inclined to avoid losses at all costs, even if it means selling a potentially winning trade before it reaches fruition. Unless one can let winners increase in price sufficiently, profits won’t balance out losses. The ability to control one’s impulses and wait for larger, delayed rewards is vital for long-term survival. It’s worth developing this ability.
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Why do most traders end up losing moneyThis question is quite scary, but if you are a novice and see this question, congratulations, you are on the right path of trading.
The most important lesson to learn before entering the financial markets is risk expectation.
You can ask yourself, how much money do you want to make from trading? Is your goal asset appreciation, or a small fortune?
If a trade loses money, will it affect your own life?
Is your own character able to stop losses in time, or do you have no self-control?
After asking these questions, we decide whether to enter the financial market.
So why do the vast majority of traders lose money?
1. Because of the particularity of the financial market.
I believe that many friends have heard of the 28 rule. For example, in the distribution of wealth in our society, 20% of people control 80% of social wealth; 20% of people will persist in encountering difficulties, and 80% of people will give up when encountering difficulties.
The rule of 28 is ubiquitous in life, and it also determines what kind of people will succeed and what kind of people will fail.
As for the financial market, it is crueler than real life, because there are no rules in this market, only human nature, so the financial market even surpasses the rule of 28, and less than 10% of people may make profits. In the face of money, most people want to make a big fortune with a small amount, and want to turn around by trading, so those who have stable personalities, strong self-control, low income expectations, and money in their hands are silently harvesting these people who are eager for quick success.
Some people may say that the world is inherently unfair, and those who hold funds can only survive because of the capital.
Actually no. We Xiaosan hold small funds, and we can achieve low return expectations, or we can do it slowly, but how many people are just anxious to make money? Just want to make a big difference with a small one? Just don’t regard money as money, and think it’s a big deal to take a gamble, and if it’s gone, it’s gone?
So it has nothing to do with the amount of capital, but has something to do with people. In financial markets, human nature is the rule.
2. Too many people are dominated by human nature.
As I said before, there are no rules in the financial market, and human nature is the rule.
Trading is a very anti-human thing. Human nature is greedy for comfort, averse to risk, afraid of losing, feeling that one's level is higher than others, hating giving and learning, impatient, etc., which will be infinitely magnified in trading.
There is a saying in the trading industry that trading can be profitable, mentality accounts for 70%, and technology accounts for 30%. In actual combat, it seems that it is not difficult for traders to see the market correctly, but it is very difficult to complete this wave of market and make profits. Why?
I give two examples.
For example, the problem of stop loss in trading.
Seeking advantages and avoiding disadvantages is a characteristic of human nature, unwillingness to lose, unwilling to accept losses, this is human self-protection awareness. Stopping losses in the wrong direction means losing our real money, who can bear it? So in actual combat, many people rationally know that the direction is wrong, but they just don't stop losses, and even increase their positions against the trend, floating orders, allowing the stop loss to become bigger and bigger, and finally lead to serious losses.
Another example is the profitable position in the transaction.
The market trend always fluctuates upwards, or fluctuates downwards, and profit taking in positions is often encountered. Once profits are withdrawn, we will have a sense of insecurity in our hearts, worrying about the reversal of the market and losing profits. This insecurity is also due to human nature.
Even if we rationally know that the profit target has not yet been reached, we should continue to hold positions, but the little emotion of longing for peace of mind has been tormenting us, and in the end we couldn't help but close the position, and made a lot of less money. We comfort ourselves that it is all right, at least there is no loss. But in fact, less earning = loss, because the amount you lose next time will be greater than the money you earn. In the long run, your overall loss will be.
There are many such examples, such as betting on the market, heavy trading, unwillingness to admit defeat, stop loss leading to liquidation, etc., are all caused by the aversion to loss in human nature and the fear of failure.
In fact, if we look at the trading market 100 years ago, it is basically the same as the current human nature problem. The weakness of human nature is very strong, and it is also the main reason why traders lose money.
So at the beginning, I asked everyone to ask themselves those questions, just to let everyone understand their own personality, their current situation, and their human nature, so as to help you win certain opportunities in the trading market.
Trading is like a free game. It seems that the threshold is low and no money is required, but in fact some hidden costs are contained in it, and the human nature is clearly played for you. Therefore, before making a transaction, you must have an existing risk expectation, and then think about making money.
Fibonacci Trick for measuring Risk to Reward RatioIf you don't use your fibb tool much, (save your settings as a template first if you do) or for just a quick check to see if there is enough reward for the risk in the trade, you can set up your Fibonacci in increments of 1 (2.5 is 1:1.5)
Do this as far as you like. You can extend lines left or right to check if the R Ratio you are looking for will fit this market structure, or if you should wait for a better set up.
I happen to see this in a YouTube video, and thought it was very interesting and more than useful...
The settings are as follows :
0 - loss/stop loss price
1 - 1 unit of risk (100 percent)
2 - 1 unit of risk plus 1 unit of reward (1:1)
2.5 - 1 unit of risk, 1.5 unit reward (1:1.5)
3 - 1 unit of risk, 2 unit reward (1:2)
..... and so on.
Then just save it as a template for quick set up later
-- Example of use 6 (600 percent) is 1:5. Just subtract 1 for the risk and the remaining is the reward ratio. Each 100 percent mark is a single unit of risk (-1)
In MT4 its much better to see it directly, as you can label the levels how you wish (using the same formula)
Understanding Anchoring Bias in Trading
Anchoring is a heuristic in behavioral finance that describes the subconscious use of irrelevant information, such as the purchase price of a security, as a fixed reference point (or anchor) for making subsequent decisions about that security. Thus, people are more likely to estimate the value of the same item higher if the suggested sticker price is $100 than if it is $50.
Anchoring is a cognitive bias in which the use of an arbitrary benchmark such as a purchase price or sticker price carries a disproportionately high weight in one's decision-making process. The concept is part of the field of behavioral finance, which studies how emotions and other extraneous factors influence economic choices.
An anchoring bias can cause a financial market participant, such as a financial analyst or investor, to make an incorrect financial decision, such as buying an overvalued investment or selling an undervalued investment. Anchoring bias can be present anywhere in the financial decision-making process, from key forecast inputs, such as sales volumes and commodity prices, to final output like cash flow and security prices.
Historical values, such as acquisition prices or high-water marks, are common anchors. This holds for values necessary to accomplish a certain objective, such as achieving a target return or generating a particular amount of net proceeds. These values are unrelated to market pricing and cause market participants to reject rational decisions.
Beware of your mental fallacies. They are your main enemy in trading.
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Producing Recurring Income in GoldGold has long been a darling of investors. Its holders - whether households or central banks - seek refuge in the yellow metal in times of crisis. Gold is a resilient store of wealth, offers durable portfolio diversification, exhibits lower volatility relative to equities & bonds, and serves as an inflation hedge.
But it has a big downside. As mentioned in our previous paper , gold pays zero yield. Shares pay-out dividends. Debt earns interest. Property delivers rents. But gold? Zero!
There are multiple methods of generating yield from gold. This paper illustrates a risk-limited, easy to execute, and capital-efficient means of producing yield by investing in gold.
Innovation in financial markets enables even non-yielding assets such as gold to produce regular income. A class of derivatives known as call options can be cleverly deployed to generate yield.
Call options are derivative contracts that allow its buyers to profit from rising prices of the underlying asset. When prices rise, call option holders earn outsized gains relative to the options price ("call premiums"). Unlimited upside with limited downside describes the call option holder's strategy in summary.
What has that got to do with generating yield in gold? Everything. For every buyer, the market requires a seller. Options sellers collect call premiums which comprise the income.
Many widely believe that options are weapons of mass wealth destruction. Not entirely wrong. Used poorly, options devastate investors' portfolios. Deployed wisely, options help astute traders to better manage their portfolio, generate superior yield on their assets, and construct convexity (disproportionate gain for fixed amount of pain) into their investing strategies. Fortunately, a covered call is a strategy which uses options prudently. As the strategy involves holding the asset whose prices are expected to rally, the risk of the strategy is hedged with risks well contained.
Gold Covered Call involves two trades. A long position in gold and a short position in out-of-the-money gold calls. In bullish markets, investors gain from call premiums plus also benefit from increase in prices. Covered calls not only enable investors to generate income but also reduce downside risk if asset prices tank.
A covered call trade in gold can be implemented in a margin efficient manner using CME’s Gold Futures and Options.
A long position in CME’s Gold futures (“Gold Futures”) gives exposure to 100 troy ounces (oz) of gold per lot. Combining long futures with a short call option on Gold Futures at out-of-the-money strike allows investors to harvest premiums.
Selecting an optimal strike and an expiry date is critical to successfully execute covered call strategies. First, Strike. It is the price level at which the call option transforms to be in-the-money. Strikes which have daily volumes & meaningful open interest enable options to be traded with ease and provide narrow spreads. Strikes that make options expire worthless benefits the covered call options holder.
Second, Expiry. Options have expiry. Options sellers thrive on shrinking expiry for generating yields. Investors selling call options optimise their risk-return profile by selecting an expiry with higher implied volatility (IV). Option prices are directly proportional to IV. Higher IV leads to larger premiums enriching returns.
SIMULATION AND PAY-OFF MATRIX
This paper illustrates a covered call strategy in gold using the CME Gold derivatives market:
1. Long one lot of Gold Futures expiring in Oct (GCV3) at $ 2,050/oz.
2. Sell one lot of Call Options on Gold Futures expiring in Oct at a strike of $ 2,275 collecting a premium of $ 40/oz.
The pay-off matrix simulates the trade P&L under four likely outcomes among many possibilities at trade expiry:
a. Gold rises past the strike ($ 2,400): Options get assigned to the buyer. Covered call option holder incurs loss of $ 85/oz (=$ 2,400 - $ 2,275 - $ 40) from short call offset by profits from long futures ($ 350 - $ 85) = $ 265/oz. Each GC contract has 100 troy ounces of gold, so total profit will be $ 265 x 100 = $ 26,500.
b. Gold rises but remains below the strike ($ 2,250): Options expire worthless to the buyer. Seller retains premium in full. Covered call option holder profits from long futures + call options premium ($ 200 + $ 40) = $ 240/oz. Each GC contract has 100 troy ounces of gold, so total profit will be $ 240 x 100 = $ 24,000.
c. Gold price falls marginally below the entry price ($ 2,030): Options expire worthless to the buyer. Covered call option holder loses money from long futures and thankfully the loss is offset by call options premium (-$ 20 + $ 40) = $ 20/oz. Each GC contract has 100 troy ounces of gold, so total profit will be $ 20 x 100 = $ 2,000.
d. Gold price falls ~5% below the entry price ($ 1,950): Options expire worthless to the buyer. Covered call option holder loses money from long futures and the loss is partially offset by call options premium (-$ 100 + $ 40) = -$ 60/oz . Each GC contract has 100 troy ounces of gold, so total loss will be -$ 60 x 100 = -$ 6,000.
The chart below describes the pay-off from Gold Futures (Long position), Gold Call Options (short position) and Covered Call (combination of the two trade legs).
MARKET DATA
CME Real-time Market Data helps identify trading set-ups and express market views better. If you have futures in your trading portfolio, you can check out on CME Group data plans available that suit your trading needs www.tradingview.com
DISCLAIMER
This case study is for educational purposes only and does not constitute investment recommendations or advice. Nor are they used to promote any specific products, or services.
Trading or investment ideas cited here are for illustration only, as an integral part of a case study to demonstrate the fundamental concepts in risk management or trading under the market scenarios being discussed. Please read the FULL DISCLAIMER the link to which is provided in our profile description.
AI and Algorithmic Trading #1AI and Algorithmic Trading #1 - Introduction to AI and Algorithmic Trading
In recent years, algorithmic trading has become increasingly popular in the world of finance. Algorithmic trading refers to the use of computer programs to automate the trading process, including the analysis of market data, the identification of trading opportunities, and the execution of trades. As algorithmic trading has become more prevalent, artificial intelligence (AI) has emerged as a key tool for traders looking to gain a competitive advantage in the market. In this article, we'll provide an overview of AI and its role in algorithmic trading.
What is Algorithmic Trading?
Before we dive into AI, let's first define algorithmic trading. Algorithmic trading, also known as automated trading or algo trading, is a method of executing trades using computer programs. These programs can analyze market data, identify trading opportunities, and execute trades at a speed and efficiency that is impossible for human traders. Algorithmic trading can be used for a variety of trading strategies, including high-frequency trading, statistical arbitrage, and trend following.
What is AI?
Artificial intelligence refers to the ability of machines to perform tasks that would typically require human intelligence. AI can be divided into several categories, including machine learning, natural language processing, and pattern recognition. Machine learning is a type of AI that involves training algorithms to learn from data, enabling them to make predictions or decisions without being explicitly programmed. Natural language processing involves teaching machines to understand and interpret human language, while pattern recognition involves identifying patterns in data.
Benefits of AI in Algorithmic Trading
One of the key benefits of using AI in algorithmic trading is the ability to make faster and more accurate trading decisions. AI algorithms can analyze vast amounts of market data in real-time, identifying trading opportunities and executing trades with a speed and efficiency that is impossible for human traders. Additionally, AI algorithms can learn from their mistakes and adjust their strategies accordingly, leading to more consistent and profitable trading outcomes.
Challenges of AI in Algorithmic Trading
While the benefits of AI in algorithmic trading are significant, there are also potential challenges associated with this technology. One of the main challenges is the need for high-quality data. AI algorithms rely on large datasets to learn from, and if the data is incomplete or inaccurate, the algorithms may produce flawed results. Additionally, AI algorithms may be subject to biases, both in the data they are trained on and in their decision-making processes. Finally, there are ethical considerations around the use of AI in trading, particularly around the potential for AI to exacerbate market volatility or contribute to systemic risk.
The Future of AI in Algorithmic Trading
Despite these challenges, it is clear that AI will continue to play an important role in algorithmic trading in the years to come. As the technology continues to develop, we can expect to see even more sophisticated AI algorithms being used to analyze market data, identify trading opportunities, and execute trades. Additionally, we may see new applications of AI in areas such as risk management and portfolio optimization.
Conclusion
In conclusion, AI is an increasingly important tool for traders looking to gain a competitive advantage in the world of algorithmic trading. By using AI algorithms to analyze market data and make trading decisions, traders can operate with a speed and efficiency that is impossible for human traders. However, there are also potential challenges associated with using AI in trading, including the need for high-quality data and ethical considerations. As the technology continues to develop, we can expect to see even more sophisticated applications of AI in the world of algorithmic trading.
8 Trading Tips to Help You Increase Your Trading Profits
Whether you are just getting started or you’ve been on your journey for a while now, you’ve probably discovered that day trading is not easy. You’re putting your hard-earned money on the line and facing new challenges daily. That said, every challenge you conquer takes you one step closer to your ultimate goal.
Small behavioral changes can have profound impacts. Your goal is to minimize losses and maximize profits in order to increase your net profitability.
Here are some tips:
1. Avoid Overtrading
Traders are ambitious, sometimes too much so. Many traders feel the need to always be doing something. It’s important to remember that trading requires patience, and the quality of your trades is far more important than the quantity.
2. Avoid Under-trading
Do you ever find a great trade setup that you don’t take action on, only to look back later and realize your idea was spot on?
3. Take Control of Your Losses
As traders, we’re always focused on profits. After all, the main goal of trading is to turn money into more money. It’s easy to get carried away and forget about the very real potential for losses. In reality, limiting losses has the same net effect as increasing profits.
4. Simplify Your Approach
There is an incredible amount of data available to traders in this digital millennium. This data is intended to improve our decision-making abilities, however it can also be overwhelming.
5. Trade Robotically
As you begin to simplify your approach to trading, you can focus on making your strategy more robotic. The goal is to take all emotions out of trading so you can take a systematic approach to your trading.
6. Learn Your Strengths and Weaknesses
Becoming a successful trader requires introspection, self-analysis, and evolution. Simply put, you need to analyze your own behavior and look for areas of improvement.
7. Double Down on What’s Working
Learn to double down on areas of strength. Focus your efforts to trading activity that yields the highest rewards.
8. Don’t be Afraid to Go Back to Square One
If you find yourself in a rut, don’t hesitate to go back to basics.
In the trading world, a simple piece of advice can be a game changer. We’ve all heard quotes, lessons, or tips that have elevated our trading to new levels. What’s the best trading tip you’ve ever received?
What do you want to learn in the next post?
Targets Matter TooIt may not seem like it is very critical, but let's use two traders as an example.
Trader #1 on the left uses targets. They know the move may be way bigger than what they target, but every time they close a position, they can re-enter again, keeping a small risk for consistent reward.
Trader #2 on the right wants a home run every trade, and they do not use targets. They know big moves happen and they want it (greed) If they risk small, evetually they will get the home run trade, but at what cost?
Trader #1 had a great day. They took 7 trades and lost two. Final results +135 points (150 won from 5 x 30, -15 from 2 lost) They had a consistent hit rate, closed several winners, and never had to stress about the charts because their move was over in a few minutes. No grey hairs today.
Trader #2 however sees how trader #1 does things, and thinks, "that's no good. All those tiny trades and short targets, they could just make one trade and make HUGE! that's what I'll do...."
They see a possible entry, and it works. Price gets jumpy and they get excited "This just has to go forever! I'm rich! Beat that other trader!" They have to go to sleep eventually and let the trade run. When they wake in the morning, they find they were stopped out. How? It left with so much momentum there's no way it would come back! :(
Now trader 2 wakes up to a bad trade, which makes the rest of the day terrible. Why couldn't they catch that and close it? It's ok, I'll try again. Set another trade, watch for hours, walk away and same result. Constantly getting stressed and worrying about the stop being hit, because they don't have a target that makes sense. Maybe they do put targets in eventually, but then the "This is a home run!" sets in, and they remove the target, because hey, one trade for 300 pips is better than 10 for 30, it's just logical, right?
Stop hit after stop hit, and eventually, the account goes kaput.
Had trader#2 copied the target mentality, And set even a slightly beyond reason target, they still have more chance of success than the "Home run hunter"
Yes, the 100 r trade is awesome, I'd like to have one.
The only problem with hunting that massive winner is it will cost you a lot more than just some money. It will cost you time, stress, sanity, and make your head grey before it's time. So is the home run really worth this?
I'll leave that decision to the individual, but numbers don't lie. The trader with targets is doing well. They can even raise their lot sizes with confidence, and know that when they lose 4 times, it's a bad day (Because of R:R) and stop to keep the account healthy.
The trader without a target just keeps losing trades, deals with constant excitement and doubt, can't leave the charts, and can never be confident enough to trade beyond a minimum size, because they have been stopped out so many times, what if they take the risk and it (likely) fails, like all the other trades..... And they never grow the account, even if they do all the other things right. They may get profitable, but they won't ever grow exponentially, because the confidence will never agree with the trade, and they won't be able to hold it long enough to be worth it.
Targets are where consistency comes from. This is especially true about scalping. DON'T BE GREEDY! Set a target and take the money. Stop letting a fast candle delete your target. Often times, price will run, you remove the target, and u-turn right to the stop loss (probably reaching the target you had). Don't delete a winner and get knocked out by a stop run over volatility. They also can not get a solid statistic for trades, and never gain the certainty in putting the risk on the line.
Trader #1 can do whatever they want. They know how often they win, how well the system they use works, and they know about what to expect for a return on a good day, so they can trade any amount and let it run to the target without panic. They know out of 10 trades, they lose 4 times. Because of the R ratio, If they use the same value for the lot stops, they will make money no matter the trades play out..... Comfortable, no greed, certain, and highly profitable to a point of exponential account growth. That's how they do it....
So, pick a R ratio, 1:2-3-4. Use it consistently, and then tally the results. After some practice, you can find a good ratio that works for your trading style. The larger the ratio, the less you will win. The math is on your side though, because 1:3 only needs to win 4 out of 10 times to make money... Pick one that fits your strategy/style/level of patience, and you may find a big difference in your trading consistency.
Consistency is what really makes or breaks an account. Consistently hit targets, account will grow.
Consistently enter, wait days, and stop out will surely ruin the account over time.
Stop the account demise with targets, and ALWAYS have a target if you find yourself breakeven or stopped out often.
6 ways to stop loss in gold
Take profit and stop loss are one of the most important links in the entire trading system. After studying this article, you will be able to thoroughly understand the stop loss method.
You can bookmark it before reading it. If you feel that you have gained something, you can like it, thank you.
1. 6 stop loss methods
Stop loss means that when our order loss reaches a predetermined value, we need to close the position in time to avoid greater losses.
In a complete trading system, stop loss Stop loss is divided into static stop loss and dynamic stop loss.
Static stop loss means that after the order enters the market, the stop loss is set at a fixed stop loss space, or the stop loss amount remains unchanged. Once the market trend is unfavorable, the stop loss will be closed when the set position is reached. For example, after an order enters the market, set a stop loss of 100 points, and close the position when 100 points arrive.
Dynamic stop loss means that the standard of stop loss in the trading system is dynamic. When we hold a position, the market is constantly fluctuating, and there is no fixed point for when to stop the loss. We must observe the dynamic market changes until there is a trend that meets the stop loss standard, and then stop the order. For example, when holding long orders, the stop loss standard is that the market forms a short reverse break position structure, and we will stop the loss manually at this time.
Method 1: Fixed stop loss space, or fixed stop loss amount.
This is a relatively simple static stop loss method.
After the order enters the market, set a fixed stop loss space, for example, after an intraday trading order enters the market, set a fixed 30-point stop loss. Or set a fixed amount stop loss, for example, if the order loss reaches 1% of the principal, the stop loss will be stopped.
There are also traders in the stock market who stop loss at a fixed percentage of market retracement, for example, stop loss if the stock falls by 5%.
In this way of stop loss, the space for stop loss should be determined according to the specific volatility of different varieties.is absolutely necessary, and a trading strategy without stop loss will eventually end in loss.
Method 2: Stop loss at high and low points.
High and low point stop loss is the most common stop loss technical standard, and it is also a static stop loss method.
The market always operates in the form of waves, so there will be continuous rising or falling callback highs and lows. These highs and lows are also called inflection points. In actual combat, the starting point of the wave or the inflection point of the callback is used as the stop loss point.
After the bottom of the market breaks, open a position. There are two ways to use stop loss at high and low points. One is to place it at the inflection point, and the other is to place it at the starting point of the wave.
The inflection point stop loss, the stop loss space is small, the profit and loss ratio is good, but the fault tolerance rate is low, and it is more aggressive.
Stop loss at the starting point of the market, the space for stop loss is large, and the profit-loss ratio is worse, but the fault tolerance rate is high and more conservative.
This stop loss method is also relatively flexible, as the volatility changes, the stop loss space will also be adjusted.
Method 3: Combine technical stop loss.
Stop loss combined with technical positions refers to the combination of key positions of technical indicators in actual combat, and stop loss when the market breaks through these technical positions. For example, important support and pressure levels, or technical moving average levels, etc.
Method 4: Stop loss in trend reversal pattern.
This is a dynamic stop loss method. After the order enters the market, the market goes out of a reverse structure or form. At this time, it can be understood that the trend has reversed and the order is stopped.
In actual combat, you can combine your most commonly used criteria for confirming reversals. You can use the crossing of moving averages, or the breakout of trend lines and channel lines, etc., as long as the standards are consistent.
Method 5: Stop losses in batches.
In an order, set multiple stop loss standards, and stop losses in batches in proportion to different stop loss points.
This is a compromise stop loss method. Set different stop loss points through different stop loss standards to disperse the risk of stop loss.
In actual combat, it is often encountered that after the order stop loss, the market reverses and goes out of the original trend. At this time, because the order has stopped loss, it is very disadvantageous.
The operation of batch stop loss can keep a part of the position when encountering this situation, and can continue to make profits after the market goes out of the direction again.
Method 6: Moving stop loss.
Trailing stop loss means that after the order enters the market, the market develops in a favorable direction. After leaving the entry point and gradually generating profits, the stop loss is adjusted from the original stop loss point to a more favorable direction. The market gradually develops and the stop loss Also adjust gradually.
Moving stop loss is a bit like the left and right feet when climbing stairs. When your right foot goes up the steps, your left foot will follow. Every time the profit increases to a certain extent, the stop loss will follow.
The first purpose of trailing stop loss is to preserve capital, so most of the time the first step of trailing stop loss is to move the stop loss to the cost price.
In this way, even if the worst result is encountered, the order will be out of the market without loss. After setting the trailing stop loss, the order will no longer lose money, and even the profit has been locked. At this time, the psychological pressure of holding positions is very small, which is conducive to the execution of transactions.
These 6 stop loss methods, you can choose the appropriate method according to your own trading strategy
OANDA:XAUUSD OANDA:XAUUSD COMEX:GC1! TVC:USOIL BINANCE:BTCUSDT.P COINBASE:BTCUSD
Simple Math Defies Logic"The ones who make the most money lose the least when they are wrong"
Let's use a scalping trading style for example
Say you have a set risk reward ratio of
-10 pips for being wrong
+30 pips for being right
Start trading
Loss
Loss
Loss
Win
Loss
Loss
Loss
Loss
Loss
Win
Loss
Loss
Loss
Win
Win
Loss
Loss
Win
Loss
Loss
Wow, a lot of losses, but hold on.... You have the same amount of money you started with, minus maybe a small bit on commission.
How does that happen?
Let's put the running total (pips) next to each trade
Loss -10
Loss -20
Loss -30
Win 0
Loss -10
Loss -20
Loss -30
Loss -40
Loss -50
Win -20
Loss -30
Loss -40
Loss -50
Win -20
Win +10
Loss 0
Loss -10
Win +20
Loss +10
Loss 0
Final for the day = 0 ( -1.5 - 2.5 pips for commissions)
Accuracy rate: 30%
So in simple terms, by just using a simple risk management set up that allows you to win more than 1x the risk, you do not have to have a very high accuracy rate in order to make even a small profit.
It is very difficult to keep your mind in check about this simple math, because we look at each trade on it's own, instead of looking at a series of trades (for a day/week/month) to judge performance. Keeping the overall picture in mind, and just making sure you do not allow more risk on a position than you planned, and most cases you will begin to see an improvement on trading.
By not using stops, losses can quickly mount up, because losing streaks happen. Stick to the plan, and let your mind just sit in the corner mad about the stop rules (Ignore the feeling, like a 2 year old that didn't get ice cream, or because they weren't right, & just remember the math).
*If you move your stop, one of two things apply:
You are either finding more support for the idea, just a bad entry. Move the stop to what you would risk as an additional position had you taken the trade from the spot you decide to move the stop from, and count it as two trades.
If you had a small stop, but not the maximum risk you allow on the idea, then move it no further than you planned to risk as a maximum for a single trade.
Moving a stop because you have a reason is OK, just COUNT IT, and MAKE SURE you have a REASON to do so.
DO NOT just move it because you don't want to lose, or you will take out your own account very quickly.
⚠️ Risk:Reward & Win-Rate CheatsheetThe reward to risk ratio (RRR, or reward risk ratio) is maybe the most important metric in trading and a trader who understands the RRR can improve his chances of becoming profitable. Basically, the reward risk ratio measures the distance from your entry to your stop loss and your take profit order and then compares the two distances. Traders who understand this connection can quickly see that you neither need an extremely high winrate nor a large reward:risk ratio to make money as a trader. As long as your reward:risk ratio and your historical winrate match, your trading will provide a positive expectancy.
🔷 Calculating the RRR
Let’s say the distance between your entry and stop loss is 50 points and the distance between the entry and your take profit is 100 points .
Then the reward risk ratio is 2:1 because 100/50 = 2.
Reward Risk Ratio Formula
RRR = (Take Profit – Entry ) / (Entry – Stop loss)
🔷 Minimum Winrate
When you know the reward:risk ratio for your trade, you can easily calculate the minimum required winrate (see formula below).
Why is this important? Because if you take trades that have a small RRR you will lose money over the long term, even if you think you find good trades.
Minimum Winrate Formula
Minimum Winrate = 1 / (1 + Reward:Risk)
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😎MYTHS ABOUT TRADING BUSTED😎
⚛️The world of trading is full of myths and misconceptions. We often hear stories of overnight successes and devastating losses. It can be difficult to separate truth from fiction when it comes to trading. In this article, we will debunk some of the most common trading myths and provide the facts to help you make better investment decisions.
❌Myth: Trading is Gambling
✅Fact: Trading involves analyzing market trends, researching companies and industries, and making informed decisions based on data. Successful traders do not simply rely on luck; they systematically evaluate risk and reward before making trades.
❌Myth: You Need to be a Financial Expert to Trade
✅Fact: While a basic understanding of the market is important, you do not need a degree in finance to be a successful trader. There are numerous resources available to help beginners learn the basics of trading, including online courses, tutorials, and mentorship programs.
❌Myth: Day Trading is the Best Way to Make Money Quickly
✅Fact: Day trading involves buying and selling assets within a single trading day in order to profit on short-term price movements. While it can be lucrative, it is also risky and requires significant time and effort. Many successful traders prefer to take a long-term approach, focusing on investments that will appreciate over time.
❌Myth: You Need a Lot of Money to Start Trading
✅Fact: While having a larger investment portfolio can certainly provide more opportunities for profit, you do not need a huge amount of money to start trading. Many online brokers offer low minimum account balances, making it easier for beginners to start investing.
❌Myth: Trading is Only for the Wealthy
✅Fact: Trading is accessible to anyone with an internet connection and a willingness to learn. While high net worth individuals may have more resources to invest, anyone can start trading with a little bit of research and a willingness to take calculated risks.
❌Myth: Technical Analysis is the Only Way to Predict Market Trends
✅Fact: Technical analysis involves analyzing charts and data to predict future market trends. While it can be a valuable tool, it is not the only way to make informed trading decisions. Fundamental analysis, which involves evaluating a company's financial health and growth potential, is equally important.
❌Myth: Trading is a Solo Endeavor
✅Fact: Trading can be a solitary activity, but it is important to take advantage of opportunities to learn from and collaborate with other traders. Online forums like Tradingview, mentorship programs, and networking events can all provide valuable insights and support.
✳️In conclusion, there are many myths surrounding trading that can prevent individuals from taking advantage of its potential benefits. By separating fact from fiction, traders can make informed decisions and increase their chances of success. Whether you are a seasoned investor or a beginner, knowledge and education are essential to achieving your financial goals.
Thanks for reading bro, you are the best☺️
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Risk Management Strategies Every Trader Should KnowIntroduction
Trading can be a profitable venture, but it also comes with its fair share of risks. In order to succeed as a trader, it is important to have a solid risk management plan in place. In this article, we will discuss key risk management strategies that every trader should know. These include determining your risk tolerance, using stop loss orders, implementing position sizing, diversifying your portfolio, and monitoring and adjusting your strategy.
Determine Your Risk Tolerance
The first step in developing a risk management plan is to assess your own risk tolerance. This is the level of risk that you are willing and able to take on for a given trade. There are several factors that can influence your risk tolerance, including your financial situation, experience level, and personal preferences.
To determine your risk tolerance, consider the amount of money that you are willing to risk per trade, as well as the maximum percentage of your portfolio that you are comfortable losing. It is important to be honest with yourself when assessing your risk tolerance, as taking on too much risk can lead to significant losses.
Use Stop Loss Orders
Stop loss orders are an essential tool for managing risk in trading. A stop loss order is an instruction to sell a security when it reaches a certain price, in order to limit losses. By setting a stop loss order, traders can limit their potential losses and protect their capital.
It is important to set stop loss orders at a level that reflects your risk tolerance and the volatility of the market. Traders should also be aware of the potential for slippage, which is when the execution price of a stop loss order is different from the desired price due to market volatility or other factors.
Implement Position Sizing
Position sizing is another important risk management strategy that traders can use to manage their exposure to risk. Position sizing refers to the amount of money that a trader invests in each trade, and is typically expressed as a percentage of the trader's overall portfolio.
Traders can use different approaches to position sizing, including fixed dollar amount, fixed percentage, or volatility-based position sizing. Each approach has its own advantages and disadvantages, and traders should choose the approach that best suits their risk tolerance and trading strategy.
Diversify Your Portfolio
Diversification is a key risk management strategy that involves spreading your investments across different assets or markets. By diversifying your portfolio, you can reduce your exposure to any single asset or market, and mitigate the potential for significant losses.
There are many different ways to diversify your portfolio, including investing in different types of assets (such as stocks, bonds, and commodities), or investing in different geographic regions or sectors. It is important to carefully consider the potential risks and benefits of each diversification strategy, and to choose a strategy that aligns with your risk tolerance and investment goals.
Monitor and Adjust Your Strategy
Finally, it is important to monitor and adjust your risk management strategy on an ongoing basis. This involves regularly reviewing your trading performance, identifying areas of weakness or risk, and making changes to your strategy as needed.
Traders should be aware of the potential for changes in market conditions or other factors that could impact their risk management strategy, and should be prepared to make adjustments as needed. This may involve increasing or decreasing position sizes, adjusting stop loss levels, or re-evaluating diversification strategies.
Conclusion
In summary, risk management is a crucial aspect of successful trading, and there are several key strategies that traders can use to manage their exposure to risk. These include determining your risk tolerance, using stop loss orders, implementing position sizing, diversifying your portfolio, and monitoring and adjusting your strategy. By taking a proactive approach to risk management, traders can minimize losses and maximize their potential for success.
THE TYPICAL WEEK OF A TRADER 🗓
In this educational article, I will teach you how to properly plan your trading week.
Sunday.
While the markets are closed, it is the best moment to prepare the charts for next week.
First of all, charts should be cleaned after the previous trading week: multiple setups and patterns become invalid or simply lose their significance and their stay on the charts will only distract.
Secondly, key levels: support and resistance, supply and demand zones and trend lines should be updated. Similarly to patterns, some key levels become invalid after a previous week, for that reason, structures should be reviewed.
Monday.
Analyze the market opening, go through your watch list and check the reaction of the markets.
Flag / mark the trading instruments that you should pay a close attention to. Set alerts and look for trading setups.
Tuesday. Wednesday. Thursday.
If you opened a trading position, keep managing that.
Pay attention to your active trades, go through your watch list and monitor new trading setups.
Friday.
Assess the entire trading week. Check the end result, journal your winning and losing trades. Work on mistakes.
Decide whether to keep holding the active position over the weekend or look for a way to exit the market before it closes.
Saturday.
Stay away from the charts. Meditate, relax and chill while the markets are closed.
Trading for more than 9-years, I found that such a plan is the optimal for successful full-time / part-time trading. Try to follow this schedule and let me know if it is convenient for you
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Trading is a game of numbers and probabilitiesFirst of all, let us clarify, that what we mean by a "bad trade" is simply a transaction that was unsuccessful . There are no "good" or "bad" trades as the whole system of trading is random and unpredictable. In other words, if we knew how to differentiate between bad and good trades, then technically, we would always choose to enter good trades, right? Or should we wait for our trades to close before we label them "good" or "bad"?
Anyways, moving to the main part, we would like you all (especially beginners) to embed the following in their minds forever: trading is a game of numbers and probabilities.
No, you will not have a 100% win rate.
No, you won't be making 200 pips per day.
Yes, you will have losses.
Yes, things are gonna get emotional.
The above-stated may seem bizarre to newbies. "Like, what do you mean I cannot make 200 pips per day? This Free Forex Signals group on Telegram shares 50 signals per day and promises me a 100% return per month and you are telling me I cannot make 200 pips a day? Hahaha, do not make me laugh".
Been there, listened to that.
At the beginning of our trading careers, we are greedy, emotional, and extremely optimistic about our skills and abilities. We get angry, question ourselves, change our strategy every second day and so forth. All that up until we get more mature and wise in the markets. With time, we gain experience and double up on our skills; and that is exactly when we become acknowledging the market for what it actually is and understand how it functions.
Experienced traders think, move, and act in probabilities. They predetermine their risk, calculate all possible outcomes, execute at ease knowing that they are following their strategy. To put it into simple English, they do not get mad over one loss, because they know that their backtested and fully planned strategy is there to lead them towards long-term profitability and consistency.
Multiple Time Frames Can Multiply Returns
In order to consistently make money in the markets, traders need to learn how to identify an underlying trend and trade around it accordingly.
Multiple time frame analysis follows a top-down approach when trading and allows traders to gauge the longer-term trend while spotting ideal entries on a smaller time frame chart. After deciding on the appropriate time frames to analyze, traders can then conduct technical analysis using multiple time frames to confirm or reject their trading bias.
Multiple time frame analysis, or multi-time frame analysis, is the process of viewing the same currency pair under different time frames. Usually the larger time frame is used to establish a longer-term trend, while a shorter time frame is used to spot ideal entries into the market.
HOW TO IDENTIFY THE BEST FOREX TIME FRAME?
Many traders, new and experienced, want to know how to identify the best time frame to trade forex. In general, traders should select a time frame in accordance with:
the amount of time available to trade per day
the most commonly used time frame utilized to identify trade set ups.
For example, day traders typically have the whole day to monitor charts and therefore, can trade with really small time frames. These range anywhere from a one-minute, to the 15-minute, to the one-hour time frame. Day traders that identify their trade set ups on the one-hour time frame can then zoom into the 15-minute time frame to spot ideal market entries.
Multiple time frame analysis usually produces high win rate, guaranteeing very limited risk.
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Top10 Mistakes to avoid as a New TraderIntroduction
When starting out as a trader or investor, it is important to be aware of the mistakes that can be made. Mistakes are common, and even experienced traders and investors make them from time to time. However, new traders and investors are particularly vulnerable to making mistakes, which can lead to significant losses. In this article, we will discuss the top 10 mistakes to avoid as a new trader or investor, and provide tips on how to avoid them.
Mistake 1: Lack of education
One of the biggest mistakes that new traders and investors make is not educating themselves about the markets they are investing in. It is important to have a basic understanding of the financial markets, including the stock market, foreign exchange market, and commodity markets.
Before making any trades or investments, new traders and investors should spend time learning about the different financial instruments, such as stocks, bonds, and options. They should also understand the basic concepts of fundamental and technical analysis, which can help them identify profitable trades.
There are many educational resources available to new traders and investors, including books, online courses, and seminars. Some of the most popular books on investing include "The Intelligent Investor" by Benjamin Graham, "The Little Book of Common Sense Investing" by John Bogle, and "A Random Walk Down Wall Street" by Burton Malkiel.
Mistake 2: Failure to set goals
Many new traders miss out on setting goals. Having clear and realistic goals is important in trading or investing because it helps traders and investors stay focused and motivated.
Some common goals for new traders and investors include building wealth, generating passive income, and achieving financial independence. Goals should be specific, measurable, achievable, relevant, and time-bound (SMART). For example, a SMART goal for a new investor could be to earn a 10% return on their investment within the next 12 months.
Mistake 3: Emotion-based decision making
Emotions can be a trader's worst enemy. Fear, greed, and hope can all cloud judgement and lead to poor decision-making. New traders and investors are particularly vulnerable to emotional biases, such as the tendency to hold on to losing trades for too long or to sell winning trades too quickly.
To avoid emotional biases, new traders and investors should develop a trading plan and stick to it. They should also set stop-loss orders, which are orders to automatically sell a security when it reaches a certain price, to limit their losses.
Mistake 4: Not having a plan
New traders and investors often make the mistake of trading without a plan. A trading plan is a written set of rules that outlines a trader's entry and exit criteria, risk management strategy, and other important factors.
A trading plan should include the trader's goals, risk tolerance, and trading strategy. It should also outline the types of securities the trader will invest in and the timeframe for holding those securities. A trading plan is important because it helps traders avoid impulsive decisions and stick to a consistent strategy.
Mistake 5: Lack of diversification
Another common mistake that new traders and investors make is failing to diversify their portfolio. Diversification involves spreading your investments across different asset classes and industries, which can help to mitigate risk and protect your portfolio against losses.
For example, if you invest all of your money in a single stock or industry, you run the risk of losing everything if that stock or industry experiences a significant downturn. However, by diversifying your portfolio, you can help to reduce your exposure to any one particular investment and increase your chances of long-term success.
There are many ways to diversify your portfolio, such as investing in a mix of stocks, bonds, and mutual funds, or investing in companies across different industries and sectors.
Mistake 6: Chasing trends
Chasing trends is a pitfall that many undisciplined traders make and this also happens to professionals. This can be dangerous and lead to significant losses. Chasing trends involves investing in a stock or asset solely because it has recently experienced a significant increase in price, without considering the underlying fundamentals of the investment.
While it may be tempting to jump on board with a hot trend, it's important to remember that these trends are often short-lived and can quickly reverse direction. As a result, investing in a trend without doing your due diligence can result in significant losses.
Instead of chasing trends, focus on identifying investments with strong fundamentals, such as a history of consistent earnings growth or a solid balance sheet. By investing in quality companies with a proven track record, you can increase your chances of long-term success.
Mistake 7: Overtrading
New traders and investors tend to 'overtrade'. Overtrading involves making too many trades or investments, often based on emotional impulses or a desire to make a quick profit.
While it may be tempting to try to make as many trades as possible, overtrading can be harmful to your portfolio. Each trade comes with associated fees and commissions, which can add up quickly and eat into your profits. Additionally, making too many trades can increase your exposure to risk and volatility, which can lead to significant losses.
Instead of overtrading, focus on making well-informed, strategic trades based on your plan and goals. By being patient and selective with your trades, you can increase your chances of long-term success.
Mistake 8: Ignoring risk management
One of the most common mistakes new traders and investors make is ignoring risk management. Risk management is the process of identifying, analyzing, and controlling potential risks associated with an investment or trade. This includes setting stop-loss orders, diversifying your portfolio, and understanding the potential risks associated with each investment.
Many new traders and investors focus on potential profits and forget to consider the risks involved. This can lead to significant losses and can quickly wipe out an entire investment account.
There are several ways to manage risk, including setting stop-loss orders, diversifying your portfolio, and conducting thorough research on each investment opportunity. Stop-loss orders are an effective tool to limit potential losses on any given trade. Diversification is also an effective way to manage risk by spreading your investments across different asset classes, such as stocks, bonds, and commodities.
By ignoring risk management, new traders and investors increase the likelihood of experiencing significant losses. It is important to be proactive in managing risk and to always be mindful of the potential downside of any investment.
Mistake 9: Focusing too much on short-term gains
New traders and investors are focusing too much on short-term gains. While it is natural to want to see immediate returns on your investments, it is important to keep a long-term perspective in mind. Focusing too much on short-term gains can lead to impulsive decision-making and can cause investors to overlook the potential long-term value of an investment.
Short-term gains are often associated with higher risk, and it is important to remember that high risk can lead to high losses. By focusing solely on short-term gains, new traders and investors may overlook quality investments that have the potential for long-term growth and stability.
It is important to balance short-term gains with a long-term perspective. This means taking the time to research potential investments, identifying investments that align with your overall investment goals, and being patient with the investment process.
Mistake 10: Lack of patience
Finally, one of the biggest mistakes new traders and investors make is a lack of patience. Patience is critical in trading and investing, as it takes time to see returns on your investments. It is important to remember that investing is a marathon, not a sprint.
Many new traders and investors are eager to see quick returns on their investments, and they often become impatient when they don't see immediate results. This can lead to impulsive decision-making and can cause investors to sell their investments prematurely, often at a loss.
It is important to remember that successful investing takes time and patience. By taking the time to research potential investments, setting realistic expectations, and being patient with the investment process, new traders and investors can avoid making hasty decisions that can lead to significant losses.
Conclusion
In summary, trading and investing can be a rewarding and lucrative endeavor, but it is important to avoid common mistakes that can lead to significant losses. By educating yourself, setting goals, managing your emotions, having a plan, diversifying your portfolio, avoiding trend chasing, avoiding overtrading, managing risk, focusing on the long-term, and being patient, you can increase your chances of success as a new trader or investor.
Remember, the key to success is to approach trading and investing with a long-term perspective and to be mindful of the potential risks and rewards associated with each investment opportunity. By avoiding these common mistakes and staying disciplined in your approach, you can achieve your financial goals and enjoy a successful trading and investing career.
2 Free Online Games that Have Helped Me Become a Better Investor2 Free Online Games that Have Helped Me Become a Better Investor.
So Im in the middle of reading the " A Man of for All Markets" by Edward O. Thorp, and its fascinating. Hes a mathematician who proved there was a potential edge in blackjack (21) based on the cards that were left in the deck. He also went on to be investing fund manager who focused on covered calls and warrants and had a consistent track record for 20-25% annual returns. But his logic covered in his book focused on not only the odds of winning but the sizing of bets in both playing games and investing.
Risk management and bet sizing is not spoken about enough in life I believe. In the age of YOLO and wall street bets, clearly its not celebrated enough. A YOLO bet is a massive bet because 'you only live once'. how silly mathematically and how foolish from a consistency basis. Been there done that.
Bet sizing is key for survival. If you cant endure and survive long enough to be massively right, then your out of the game.
In the video I share 2 games that I think are awesome for practicing these concepts. I really I had learned to play and practice these concepts in games like this in college or high school. Its a math simulation. the Coin flip game is fantastic for learning how to manage risk and bet sizing. The Cashflow game by rich dad poor dad is awesome for taking investment habits and cash managements and applying them into a mini lifecycle that rhymes with real life.
If youre new to investing, or just sharpening your skills, I definitely recommend both games.
Have a great day, Cheers!
RISKOMETER Based on Your Trading Style ⚠️
Hey traders,
In this educational post, we will discuss the relation of risk to your trading style.
1️⃣ High Frequency Trading (HFT)
It is a complex algorithmic approach that is used to operate on second(s) time frames.
Such a style is considered to be the riskiest one.
With a very high frequency of order execution and sophisticated strategies, it requires a very high level of experience and proper software and hardware for successful operations.
2️⃣ Scalping
It is a manual trading style with operations on minutes time frames.
With the average holding period ranging from minutes to hours, scalping requires a high degree of attention and constant charts monitoring.
Being one of the most profitable trading styles for retail traders, scalping involves an extremely high risk and mental load.
3️⃣ Day trading
The form of speculation in which the traders attempt to make profits within a single trading day.
Occasionally, however, day traders may hold their positions overnight.
Day trading is considered to be slower than scalping, with the trade execution on hourly time frames.
Slower pace drastically reduces risks also limiting the potential gains.
4️⃣ Swing trading
It is a style of trading that is aimed to make profits on swing moves, with an average holding period ranging from days to weeks.
4H time frame is the lowest time frame where swing traders usually operate, and a daily time frame is usually the highest one.
The operations on higher time frame dramatically reduces the noise and degree of manipulations, making that style of trading relatively safe.
5️⃣Investing (Position Trading)
Trading / investing style aiming to make long-term profits.
The average holding time of a position trader may expand to years.
In comparison to other trading styles, investing generally produces the smallest gain. That is, however, compensated by extremely low risks.
Correct understanding of relations between trading styles and potential risks is crucially important for a selection of an appropriate style for you.
Shorter is the holding period and operational time frames, higher is the risk, but higher are the potential gains.
You should pick the style that fits your risk-tolerance and expectation.
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Scalper, Day Trader & Swing Trader | Choose Your Path
There are thousands of different ways to trade the market.
During the last 100 years, various trading strategies and techniques were invented.
One of the ways to categorize them is to split them by types of traders.
Such a category type will lean on 2 main elements:
trading frequency and time frame selection.
1️⃣ - Scalper
I guess 99% of newbie traders start from scalping.
Trying to catch quick market moves and become rich quick,
newbies are practicing different scalping strategies.
What is funny about scalping is the fact that such a trading style is considered to be the easiest by the majority while remaining one of the hardest in the view of pros.
The main obstacle with scalping is a constant focus and rapid decision-making.
Scalpers usually open dozens of trading positions during the trading session, most of the time being in front of the screen constantly.
Paying huge commissions to the broker and dealing with complete chaos on lower time frames, the majority simply can't survive the pressure and drop, leaving the pie to true gurus.
2️⃣ - Day Trader
Day trading or intraday trading is the most appealing to me.
Staying relatively active, the market gives some time for the trader for reflection & thinking.
Opening and managing on average 1-2 trades per trading session, the intraday trader is granted a certain degree of freedom.
However, with declining volatility , quite ofter intraday traders get a relatively low risk/reward ratio for their trades,
3️⃣ - Swing Trader
Swing trading is the best choice for traders having a full-time job.
Primarily being focused on daily/weekly time frames, swing trading is not demanding for a daily routine and aims at catching mid-term/long-term market moves.
With an average holding period being around 2 weeks and opening 1-2 trading positions per week, swing trading is considered to be the least emotional and involves low risk.
The main problem with swing trading is patience.
Correctly identifying the market trend and opening a trading position,
the majority tends to close their positions preliminary not being patient enough to let the price reach their target.
Which trading type do you prefer?
Let me know, traders, what do you want to learn in the next educational post?
Should I stay or should I go?Three factors for good trade management
Knowing when to make your move is key to being a successful and profitable trader. Here are three things you need to handle to keep on track:
1. Know the probability of the trade
Make sure you know whether your trade is low or high probability and whether it’s against the trend or with it. If a trader goes long in a short market it’s a low-probability trade so more than likely it is going to end up in a losing trade.
If you have a high-probability trade that failed, the market likely wants to change direction. If you have a high-probability trade that you don’t make a lot of points on, it means the market is slowing down or reversing.
Sometimes low-probability trades also bring in points. Lower probability trades are against the prevailing trend, so taking a trade to the opposite side becomes preferable and may end up being a high-probability trade. That is because the trends start to change from the lower time frames to the higher timeframes. But you have to keep an eye on the higher ones especially as it might be a retracement on a higher-level timeframe (typically a 5 or 15 minute timeframe).
2. Know your rules for risk
Be very clear how much money you want to allocate to a trade. Is your rule that you only ever risk half a percent per position or a maximum of 6% of your portfolio on any one trade? Having this clear boundary means that if you lose a few percent it doesn’t make a material difference to your account, your mindset and your wellbeing.
Remember that your risk management will improve over time. Never get put off by the occasional trade that goes against you. If it doesn’t work out, look at your trading plan and see where there is something that could be changed.
3. Practice your strategy and approach
Believe in your system and stick to it and your trading plan strictly, even if it looks like the market is going against you. Of course not all trades will be successful - with any business you have profits and losses. As long as the profits are more than the losses it’s ok.
It’s about practice too, which includes practicing the skill of not doing anything for a few hours until you see a setup that meets your criteria. You never want to be making involuntary or emotional moves.
The fastest area of wealth accumulation in the world-the forexAn investment field where one opportunity is enough to change one's destiny!
A market that works miracles every day!
Entering the new century, foreign exchange, an investment tool with infinite charm, is attracting the attention of more and more people. This market full of opportunities and challenges is changing our destiny all the time, so much so that it is loved by more and more people.
Advantages of the foreign exchange market:
1.Low threshold for investment amount;
2.The investment period can be long or short, buy and sell as you go, and the liquidity is extremely high.
3.The highest return on investment, you can get more than several times the amount of investment funds.
4.The transaction procedures are quick and easy. You only need to enter the transaction procedures, which can be completed in a very short time.
5.Trading flexibility is high, and there are many profit opportunities in the dual-track of buying long and selling short.
6.The impact environment is relatively fair, the information channels are smooth, and it will not be operated by large companies. The principles of fairness, impartiality, and openness are guaranteed. There are many factors that affect it, and the relationship between supply and demand has a great impact.
7.The degree of risk is relatively high, but foreign exchange trading operations are flexible, mobile, rapid, and risks can be controlled and prevented.
How to quickly accumulate wealth with small funds:
1. Survival first, development second.
2. Only do short-term intraday trading.
3. Operate no more than 5 times a day, and try not to place orders after the daily profit exceeds US 1,000.
4. Only 2-3 varieties are made every day.
In the trading process, at the same time, establish that opportunities are available every day, and you need to maintain the concept of waiting patiently for opportunities, and overcome the impatience of eager to win; at the same time, make rational use of stop losses, establish the concept of safety in the bag, and turn floating profits into real profits in a timely manner.After trading, find the time period when you make the most profit every day, try to give full play to your advantages in this time period, and summarize your experience every day to continuously improve your tactics.