Trader comfort zone journey 🥴➡️😊Let's end the week on a thoughtful note.
On the chart is a visual I see the other day that I feel relates to trading massively.
It's called the comfort zone map.
This can be applied to many situations in a person's life as a generic visual map.
But I really do think it represents the journey every trader must take in order to become successful.
COMFORT ZONE
It's where we all start any journey
Sat in the comfort zone not wanting to leave as we dont want to fail or get hurt.
Some will stay in this zone forever but will never progress.
If you are on TradingView looking at this idea then chances are leaving this zone is already being explored.
We all like this zone put you have to take the leap of faith in order to progress.
As traders we all have to leave our comfort zone in order to start our trading journey.
FEAR ZONE
This is the worse zone for any human on any sort of journey but more so for traders.
Things are really uncomfortable in this zone and pain will be felt.
Mistakes will made, as traders money well be lost but key bit is learn from those mistakes.
Plenty of people will turn their backs at this point and jump back into the comfort zone.
Those who carry on trying to achieve will have other people questioning what are they doing.
Don't let opinions sway you and find a way to find your feet in this zone.
You will lack knowledge, You will lack skills at the start but traction comes with hard work and persistence.
LEARNING ZONE
The traction gained and hurdles overcome in the fear zone leads you to this zone.
Once in this zone it's now all in the eye of the beholder.
This is now the new comfort zone but don't drop the ball you can end up dropping back in this zone.
Now's the time in this zone to really kick on but it can take time.
You are now laying the foundations of an exciting future.
Take the base knowledge gained and gain even more in this zone.
Problems are no longer holding you back as you are able to overcome.
You enjoy the challenges and tackle them head on while still learning.
Putting the time in here takes you to the next step but also stands you in good stead for rest of lives hurdles.
GROWTH ZONE
This where the fruits of your labour are felt but not just in trading profits.
Mindset and contentment are on point.
Due to the above continued learning never stops.
Objectives are now smashed.
Purpose and fresh identic is now found within yourself.
Continued Personal growth as well as financial growth is now a element of life.
In this zone the end game is infinite but shouldn't be taken for granted.
Hard work has got you here but don't get complacent.
Treat everyday as an opportunity to fulfil your life even more in many ways not just money.
You earnt the right to be in this zone so enjoy.
But be grateful in this zone and take nothing for granted.
Stay level headed and with the right mindset this becomes your new comfort zone to enjoy forever.
Enjoy the weekend folks and see you next week 👍
Darren✌️
Community ideas
Economic data that a trader should be able to understand.Part 3.
Turnover or retail volumes, orders and inventories
This type of data measures retail trade turnover. As a rule, the retail business is, in simple words, a place where you and I go to shop to buy basic necessities and luxury goods.
It is important because it is an excellent indicator of consumer demand within a particular economy. In certain countries, especially in the G8 countries, retail trade volumes may account for two-thirds of all consumer spending.
They are a key indicator of consumer confidence. If consumers are confident in their economic situation, additional demand for goods and services is created.
Economists track the growth of trade turnover – it helps to determine whether the economy is doing well. If the trade turnover falls, things are bad in the economy.
Turnover or volume of wholesale trade, orders and stocks
This type of data measures the turnover of wholesale businesses.
It is important because it is an indicator of consumer demand – which, as we know, is a serious thing. A decrease in wholesale sales or inventories may imply or confirm a decrease in business activity and retail demand. This means that there are free resources that are not currently being used, but they will be used if demand increases again.
This type of data is not as important as retail trade volumes, but most economists believe that it is still worth keeping an eye on.
Import of goods and services
In this type of data, purchases of domestic companies from companies from abroad are measured. If, for example, you are a Canadian company that buys raw materials from China, then this is considered an import of goods to Canada.
This type of data is important, since imports may eventually replace domestic production, which may cause tension in financial resources. For example, if everyone in the United States starts buying only German car brands, such as BMW and Audi, this will lead to a lack of demand for cars manufactured in the United States, such as Ford and GM. Which will have a negative impact on domestic car manufacturers in the United States.
As a rule, a country imports those goods and services that it is not able to produce on its own. But, of course, this is not always the case. Often people and companies buy abroad because prices are lower there.
Another reason is that there may be goods of the desired quality abroad that are not available at home. For example, if you live in the United States and have a strong desire to drive around in a Rolls Royce or Bentley that has just rolled off the assembly line, you will have to buy your car in the UK.
Oil is often not taken into account in the US data, as it has developed that the states are always forced to import it – the country does not produce enough oil to meet domestic demand. However, thanks to the new drilling technology in the US, oil production is growing – there are chances that over time it will be enough to cover the demand. You may have to do a little independent research on this topic – it depends on when you read this material.
Export of goods and services
This type of data measures the country's trade turnover with other countries around the world. Simply put, this is the direct opposite of importing goods and services.
It is important because exports generate an influx of foreign currency, which can have a good effect on economic growth. It happens that a foreign currency is more valuable than a local one – this creates additional profit in the balance sheet of a local company. For example, if a company from Canada sells its product to the UK, it receives British pounds as payment. This is a very attractive deal, since (at the time of writing this article) 1 pound can be exchanged for 1 Canadian dollar 75 cents.
Export growth can boost GDP, which will have a positive impact on the economy. The higher the ratio of a country's exports to its GDP, the faster its economic output will grow.
Trade balance, the balance of trade in goods
In this type of data, the balance or the difference between all exported goods and all imported goods for a certain time period is measured. The main question is – what is more in the country, exports or imports?
It is important because it is an indicator of a country's fundamental trading position in relation to other countries. Obviously, most countries prefer their exports to be higher than imports.
A large foreign trade deficit may suggest to economists that there are difficulties with the supply – companies are unable to meet the demand coming from abroad.
The trade balance reflects the ratio between national savings and investments of citizens and companies of the country in question. The deficit is an indicator that investments exceed savings in their volumes, and the use of real monetary resources exceeds the overall economic result of the country.
Index of export and import prices, unit price of the product
This type of data measures the prices of goods that one country trades with others.
It is important because it is an indicator of pressure on prices, possible problems with the exchange rate and changes in competition.
Economists compare export prices with price indicators on the domestic market to get an idea of the pressure on prices for foreign buyers exerted by domestic producers.
Economists also monitor import prices to determine the level of external pressure on prices and evaluate these indicators.
Manufacturer's prices and wholesale prices
In this type of data, factory prices are measured – that is, how much it costs the manufacturer to manufacture goods without adding extra charges.
It is important because it can be used as a leading indicator of price pressure affecting domestic production volumes. It should be borne in mind that during a recession, the industrial Price Index (Producer Price Index, PPI) may exaggerate the pressure on prices.
On the other hand, during periods of inflation, PPI can downplay prices, because contracts and purchases of raw materials are usually negotiated in advance long before production and release of products.
Price expectations: surveys
The purpose of these surveys is to study the opinion of manufacturing companies regarding inflation. In simple words, this type of data sums up what company directors think about the impact of inflation on their business at the moment and in the near future.
It is important because it allows you to look into the heads of people working in the trenches of production. It can serve as a warning about possible changes in prices.
Economists, as a rule, track changes in the trend of this indicator in order to predict a possible increase or decrease in pressure on prices.
Wages, labor income, labor costs
Salaries and labor incomes give us an idea of how much people earn from their jobs. Labor costs are how much the labor of workers costs the manufacturer. All these indicators reflect labor costs and the impact on consumer incomes.
They are important because they reflect the pressure on prices and demand within the economy. Salaries and incomes are closely related to the current phase of the economic cycle. If incomes are growing faster than consumer price inflation, it means that real spending is growing, which is an indicator of the health of the economy.
Unit labor costs
In this type of data, the cost of labor per unit of output is measured. In other words, how much the labor costs for the production of one unit of goods cost the manufacturer.
It is important because it is an indicator of the competitiveness of businesses and pressure on prices within the country. For example, if a company is engaged in production in a country with cheap labor, and sells its goods abroad, these are large potential profits. Conversely, if a company's production is located in a country with expensive labor, then it probably will not be able to withstand competition with foreign companies using cheaper labor.
This is a key indicator of labor efficiency. If unit labor costs decrease, it means that the same amount of products can be produced for less money, since manufacturers will need to pay their workers less for the output of each unit of production. Which, of course, makes the manufacturer more competitive. If labor costs start to rise, then this can pose a threat to the viability of companies, because the production of products will start to cost them too much. Obviously, companies need to earn money to stay in business, so cheap labor is always preferable.
Consumer or retail prices
This type of data measures the price of a basket of goods and services consumed by an ordinary family to maintain the current standard of living. It includes clothing, food, rent, transportation expenses, and so on. In general, everything you need for food, sleep and earning enough money to survive.
It is important because it reflects the inflation experienced by a typical family of a particular country.
Here you need to ask yourself this question – are ordinary goods in general more expensive or cheaper for consumers? Will the consumer have more money in his pocket at the end of this year than at the end of the previous one? The answer can tell us a lot about whether the standard of living is rising or falling and what part of the economic cycle we are in now.
Conclusion
As you can see, when it comes to publishing fundamental economic data, many key concepts have to be taken into account. If you have difficulty assimilating or remembering all this information – try not to overload yourself!
Use all the information and then you will earn more than the rest!
Good luck!
How do earnings releases affect PA?Lately, we have been seeing some dramatic sell offs from earnings. NFLX earnings tanked the stock and they weren't all that bad. TSLA's most recent earnings caused just over a 100 point sell off and they were positive. TSLA and SNAP's earnings are coming up today/tomorrow and we see some sustained selling.
So this made me wonder, how do earnings really affect a large cap stock like FB and NFLX?
Thanks to the miracles of quant trading and being a statistics based trader, I can isolate my data based on earnings releases to see what actually happens to the stock upon earnings releases and run some tests to determine significance. I am doing this with FB.
Analysis:
Since FB's history, there have been a total of 117 earnings releases.
87 have been positive releases (74%); and
30 have been negative releases (26%).
What about price action?
Okay, before I give the results I have to briefly explain what I did here. I isolated earnings day to the day immediately before the earnings release, the day of the earnings release and the day immediately after earnings release. So, earnings releases constitute a 3 day period in the data, this is because I know as a trader that the day leading up to, the day of, and the day following tend to have some dramatic reactions in PA. So what I did was I subtracted the close price of these earnings days from the close price of the day immediately proceeding the earnings days.
As an example, if earnings were released on the 20th, then the 19th, 20th and 21st were all included as "earnings days" and their close price was subtracted from the 18th.
Okay, now on the to the results:
Of the positive earnings, the mean increase in price was 0.443. That means, on average, when there were positive results, FB closed an average of 0.44 cents higher on the earnings period.
Of the negative earnings, the average increase in price was -2.93 with a Standard Deviation of 17.25. Meaning the average price dropped by $2.93.
The chart below shows the degree of sell off by earning release date. Keep in mind, a NEGATIVE value means that the price INCREASED and a Positive value means that the price DROPPED:
Whether earnings were negative or positive correlated to whether it sold off were in fact statistically significant when analyized via paired sample T-test. However, these numbers may interest you:
Of the positive releases: 41% of the time there was actually a sell off and just over 58% had a marginal increase in price. The increase in price generally happened on the day AFTER the release.
Of the negative releases: 26% had a sell off and 73% did not have a sell off (This is interesting, right?).
Conclusion:
- Earnings do correlate to PA; however, these correlations are not predictable
- Negative earnings have resulted in a sell off 26% of the time
- Positive earnings have resulted in a sell off 41% of the time
That's it, leave your questions, comments and criticisms below!
Trade safe everyone!
The Dunning–Kruger effectAfter recently doing a review of my last 6 months of trading, I recognized that my portfolio value over this period looked very similar to the Dunning–Kruger effect curve. (a psychological phenomenon that suggests people are not always the best evaluators of their own performance). The theory is often applied to trading because most retail traders experience a similar effect.
After spending 3 months of a practice simulator, I deposited real funds into a trading platform. Within the first week I saw a 24% increase which was shortly followed by loosing half my account value in the coming months. I then decided to take two weeks out and reflect on my performance. It was in these two weeks where I stumbled across an article called "5 steps to becoming a trader" (which I have linked to this post). I came to realize that I was completely incompetent. I didn't follow my trading plans, I got caught up in emotions and I was almost gambling money away in the hopes of getting rich quick.
The harsh reality is trading is hard. After a total of 9 month, I have only just managed to see a net positive return. I have spent thousands of hours only to be outperformed by an Index fund. One article won't change your performance, but these are some things that I learnt which could get you closer to conscious competence:
1. Don't trade with emotions, trade with your plan
2. Keep your risk/reward >1.75
3. Never risk enough money to loose sleep (enter each trade as if you have already lost the money you placed)
4. Reflect on performance and learn from mistakes
5. You don't need to win lots, you just need a mathematical edge
As a trader gains more experience, they become increasingly confident and more likely to see positive returns.
Stay dedicated!!!
LET'S GET REAL: Stop Strategy Jumping!Hey Traders,
This one is going to be a little bit different, a little bit deeper and a little bit harder to listen to rather than usual technical analysis. I recommend you sit down and listen to this. Have a think whether it relates to you or whether you found yourself in this position, or even if you've gone through this position and share your experience on how you go through it. A lot of traders struggle with their strategy, jumping from aspects of trading and that's why so many educators out there make a lot of money off of them. It is time to stop.
In this video I outlay a challenge that I put to all the traders who may find themselves in this position to sit down and to thoroughly test their current or previous strategies and understand them on a deeper level. No more jumping around, no more looking outwards. Let's start looking inwards. Let's see the data that we have handed to us and what we can do to improve that data.
If you enjoyed this video, please leave a comment. Leave a like, if we do get enough likes and comments, I will make a Part 2 on how to go about this with a more depth avenue while using different resources.
As always, have a fantastic training week.
What is a breakout? #breakout #Candlestick #TA #Tocademy
Hello. This is Tommy.
The lecture material I prepared today is a concept that must be well informed by TA(Technical Analysis) traders, especially in recent market where untraditional patterns, price actions and trends, as we call ‘scam moves’ occur all the time.
I bet you are familiar seeing retail traders or chart analysts shouting “breakout!”. In order to derive market trends and price action/momentum, we find millions of technical variables such as trendline, channel, Fibonacci retracements, pivot levels, and other indicators, etc. Then we seek for behavior of price action by observing whether these variables are kept valid (not broken) or become invalid as soon as they are broken. Understanding and utilizing this behavior, we make trading decisions by deducting optimal zones to enter position(support/resistance), set stoploss/target price(bottom/top), and statistically giving weights on particular scenarios.
In TA world, breakout means that the price has pierced through certain variables. It is commonly known that when the technical factors are broken, additional price momentum is expected towards the direction of the breakout. As the example above, let’s say that we found a falling trendline that are being formed, meaning that at certain point or area, trendline keeps pushing the price down forming LH(Lower High)s. As soon as the price pierce through the trendline, meaning that the trendline failed rejection, we say “trendline is broken above” and can expect more bullish rally. The direction of the trend would be vice versa when trendline under the price is broken below.
So, we buy when PA is broken above and sell when PA is broken below. That sounds so simple huh?
If it was that easy, everyone would be rich right now. I'm sure most of you reading this post are already aware that it's never easy. Why? It’s simple. In this world, there is no such thing as 100% “breakout”. To put it simply, everything we do based on the technical chart is somewhat relative, abstract, and subjective concept. It’s not like breakout has 100% succeeded, or failed but rather is more like breakout has succeeded in 60~70% chance. In other words, there are more than two possible future cases when we search and utilize breakout behavior.
So, we traders need a reliable standard to statistically quantify the ‘degree of breakout’. The most basic way according to the ‘textbook’ is to consider closing price of candlestick firstly crossing the variable. As the price of the candlestick closes above the trendline as case 3, we give a decent weight on breakout scenario.
However, case 2 is the one that confuses us every time. This is when the price did pierce through the trendline but closes below, usually leaving a long tail as a trace which sometimes is interpreted as a whipsaw. As soon as this happens, we have to admit that the chances and reliability is definitely lower than the case 3. It might be regarded as a false breakout or a noise if the trend continues afterwards and it might not actually. It’s a 50:50 call I would say.
When you encounter case 2, to give you a little tip, try waiting a little more to observe next following candles. If the next following candlesticks keep closing prices below, I would raise the probability that the breakout is a false one. In fact, it is best to just not give any meaning on breakout in case 2. It itself is a risk to confirm whether the breakout is successful, not successfully, or false and thus try not take aggressive trades in this very case.
Thank you for reading my posts. Trade Well!
Your likes, comments, and subscriptions are the greatest motivations for me to upload more posts.
Not having a position is also a position - When trading is bad?Every day we start by choosing between long and short.
Sometimes you wake up, look at the btc chart - and clearly see your setup.
And sometimes you don't see it. But you still saw how many of your friends traded shorts successfully and decide to enter a hostile market.
Bottom line: Lost profit, exhausted nerves, stress, a blow to self-esteem.
Most traders forget that there is a third option - to stand aside.
Let's discuss when such position can be useful and why most people use it so rarely.
Pro traders can be split into 2 types:
Bulls and bears. They trade for profit only in one direction, because they have a trained eye to see only their kind of setups.
When a bull finds himself in a bear market, he either trades in the red or breakeven. The same true for the bear.
And yet, even knowing this, the trader continues to trade unfriendly setups. Fueled by success that he carries from his market, he is sure that just a little more, a LITTLE LITTLE more, and he will be able to trade profitably in this market as well. "And if I can trade for profit in both directions, then I will become an absolute terminator and even Warren Buffett himself will personally beg me to share my market forecast with him!" I don’t know if you woke up with such thoughts in the morning, but I definitely had a couple of times.
The answer to this phenomenon is GREED (for money or fame). And the easiest way to get rid of such incidents is to write the following rule in your trading algorithm (I hope you have it):
• Trading during correction is prohibited.
Just one sentence will save you a huge amount of money and help you increase your capital much faster.
Instead of losing money trading corrections, it is better to:
• Relax and spend part of your honestly earned profit on yourself and your loved ones.
• Patiently wait for your market and return to the game.
Do this - and trading will bring you much more pleasure, and you will earn even more and enjoy your life!
If this article was useful to you, please like and leave a comment so that I understand that it has value to you and will continue to write educational material in the future✌️
Making A Signal In Tradingview Pinescript In Under 20 MinutesHave you ever wanted to combine two technical analysis indicators into a single signal to find your own way of making profit? This video is a tutorial where I take two stock Tradingview Pinescript indicators and combine them into a signal that makes it easier for the user to spot with their eyes when an even occurs on a chart. By following along I hope the viewer can learn the basic process of repeating this for their own research!
How To Become A Profitable Trader: Part 1Hey guys! Today, I'm launching a video series about how to actually make money in the markets. This is the first video.
At this point, it's a cliche, but I'll say it anyway: The first step to making money is not losing money.
So many people lose money by committing unenforced errors. This video is simply about helping people see the obvious mistakes they are making, from the perspective of a professional trader who's been at this for 6+ years.
One note: when talking about leverage, obviously with FX you may want to use some leverage because the %ATR is so low. But keep it under 10x.
In the following videos, I will touch on:
- How to understand trading any market on any timeframe
- The basics of how to make a trade decision
- Simple strategies I know work, and have seen work over a long period of time
Hopefully you find this useful. LMK in a comment!
-AW
HOW TO: Find the money making stocks, cryptos and FX pairsToday I'm going to be looking to something a little bit different than our normal analytics!
We're going to dive into the tradingview screener! The Forex Screener specifically, but everything I do talk about does also apply to the crypto Screener and the stock Screener. What I want to explain is how I use it to find pairs, stocks and cryptos which are setting up the way I want them to, in order for me to day trade. I show how I use a range of different Bollinger bands to moving averages to overall technical aspects, like growth statistics or reaching all time highs.
The Forex Screener and the tradingview tools that they offer is top of the range stuff. I recommend trying to figure out how to use them and how to utilize them to benefit you in your trading.
Have a listen. Have a look yourself through the Tradingview screener and the different technical aspects in which you can change. I guarantee it'll streamline your process in finding the right pairs that you're going to choose when it comes down to day trading.
I hope you enjoyed it. If you did, please leave a comment and a like. As always, have a very successful week of trading guys. Thank you.
What's the worst trading advice you've ever heard?Hey everyone! 👋
Last year, we asked the community to share some of the best trading advice they’ve ever heard, and we got a ton of great (and hilarious) responses .
This week, with a slow and choppy market across almost all asset classes, we thought it would be fun for people to list some of the WORST trading advice they’ve ever heard. It can be an individual call, or broader trading "principles”. No matter what it is, we’d love to hear it.
The best two replies get a TradingView mug. Contest ends Wednesday at noon EST when we will announce the winners.
Have a great week!
-Team TradingView.
Timing the Market Using Tether DominanceI always emphasize that time in the market beats timing the market, but I want to share an interesting approach that you can consider taking when timing the cryptocurrency market, especially when it comes to Bitcoin's overall direction.
This is not financial advice. This is for educational purposes only.
Tether Dominance
- Just as Bitcoin dominance refers to Bitcoin's market cap relative to that of the entire market cap, Tether dominance is no different.
- It refers to how much capital is parked in stablecoins, specifically Tether, at any point in time.
- Since Tether (USDT) is a stablecoin that tracksthe USD, an increase in Tether dominance suggests a pullback or correction in cryptocurrencies.
- A simple way to understand it is to think of USD flowing in and out of the market.
- On the other hand, if Tether dominance drops, it means that more capital is being deployed to purchase cryptocurrencies, which is bullish overall for the market.
- If you look at the graph above, you'll clearly see the inverse correlation between Bitcoin (orange) and Tether dominance (black).
- Key support and resistance zones for Tether dominance are marked as well.
- As we're currently trading slightly above local support, marked in green, if we see Tether Dominance fall below those levels, we could expect Bitcoin to continue rallying upwards.
Bitcoin Daily Chart Analysis
- We've tested Bitcoin's yearly open price at $47.2k, and failed to break above the 200 simple moving average (purple).
- Bitcoin has retraced to $45-46k levels, which is a completely anticipated move considering that pullbacks can take place upon breakouts.
- As the overall structure remains bullish, and we see the moving averages cross again, aligning in order for a bull rally, I expect us to retest $50k ranges again.
- Whether we get rejected at those levels, or break through it is unclear, but we'll take it by levels as we always do.
Conclusion
With Tether dominance currently barely holding local support, I think there's a high probability that we see those support levels break down, and see Bitcoin rally upwards once again. This is definitely an indicator that you want to continuously refer to as you trade.
If you like this educational post, please make sure to like, and follow for more quality content!
If you have any questions or comments, feel free to comment below! :)
TOP 5 CURRENCIESHello!
Today we will discuss the five most popular currencies.
Currently, there are 180 currencies in active circulation in the world. Most of the transactions made in the foreign exchange market are made using only about half a dozen of these currencies. If you are familiar with the Pareto principle, then it applies very well in the real world. This article will provide you with an overview of the currencies currently dominating the foreign exchange market.
The five most traded currencies in Forex are listed below, with reasons for their popularity:
* US dollar: The dominance of the US dollar as a currency is undeniable. In truth, this currency has no serious competition. Such popularity is due to the long-term stability of the government and the economic dynamism of the United States. It has a very stable value due to the fact that it is not greatly affected by inflation over a long period of time. Many foreign governments literally hold on to dollars as a reserve currency, mainly because that currency is used for international transactions. Needless to say, the US dollar is on a pedestal and its status as a currency is unparalleled – or rather, not yet.
* Euro: The US dollar as the main currency definitely needs a second currency. Surprisingly, this currency is one of the youngest, and it is considered the official currency from Finland to Portugal and from Slovakia to Slovenia. The Euro is the next most traded currency among all currencies in the world. Currently, there are about 500 million people in Africa and Europe who use this currency for trade. The value of the euro is likely to increase over time.
*Japanese yen: The Japanese yen has become so important nowadays because its value has tripled. Because of this, Japanese firms have taken advantage to acquire several procurement-related positions from many institutions in the United States. Through these developments, the yen has gradually become one of the most important currencies used in the foreign exchange market.
* British pound: The pound sterling has lost some of its glory. Decades ago, it was the second most widely used currency, but with the decline of the British Empire and the rise of the euro, the pound fell by the wayside. Today, the pound is used in only 6% of all foreign exchange transactions. If you're wondering why the pound suddenly dropped to number four, the best answer is that it's in a relative vacuum. The United Kingdom government has fixed its price against the dollar, and this is not good, because it no longer reflects the real value of the currency.
* Australian dollar: This currency was created in 1966 as a replacement for the now obsolete Australian pound. Since then, it has become one of the most popular reserve currencies circulating throughout Oceania and the Asia-Pacific region. Gradually, it has become one of the most preferred currencies for trading.
conclusions
In the 21st century, foreign exchange is moving towards diversity. Investors pay attention to the stability and volatility of the currency. In addition, the reputation of the economy and the security of the state matter in the selection process. Finally, another factor that is taken into account is the extent to which the currency is used.
Due to the high volatility, trading these pairs is faster, which can help you quickly win big or lose everything quickly.
Good luck!
Traders, if you liked this idea or if you have your own opinion about it, write in the comments. I will be glad 👩💻
The Anatomy of a Bear MarketRecently, a lot of people have been talking about the possibility of a multi-year recession. I don't think that is a clear depiction of the current situation, but I am aware that the idea stems from a lack of understanding of bear market structures, and influence of market sentiment. So in this post, I'll be going over Ken Fishers' rules and conditions that must be met in order for a market to be clarified as a bear market, and how you can best position yourself to minimize downside risk.
This is not financial advice. This is for educational purposes only.
The Four Rules of a Bear Market
- The first rule is the two percent rule: a bear market typically declines by about 2% per month.
- Sometimes it declines by more than 2%, sometimes it’s less—but overall and on average, bear markets don’t often begin with the sharp, sudden drop some anticipate.
- If a bear does drop by more than 2% per month, there’s often a market counter-rally that can provide better opportunities for investors to sell.
- The three month rule: This rule advocates waiting three months after you suspect a peak has happened before calling a bear market.
- Rather than trying to guess when a market top might come, this rule ensures one has passed before taking defensive investment action.
- It provides a window of time to assess fundamental investment data, market action and possible bear market drivers.
- I often see lots of people call market tops and bottoms, and time the market perfectly, but it needs to be clearly understood that this isn't the right approach to understanding the market.
- Next, we have the the two-thirds / one-third rule.
- About one-third of the stock market’s decline occurs in the first two-thirds of a bear’s duration, and about two-thirds of the decline occurs in the final one-third.
- This was the case in the bear market caused by the financial crisis, as well as many other bear markets including that of 1973.
- Combining this with the three month rule, it also implies that if you have identified that a market has indeed begun its bear run, you might be better off taking profits/losses on your position, managing risk by increasing your cash holdings, and buying back when capitulation has happened.
- And finally, we have the 18-month rule.
- While bull market durations vary considerably, statistics demonstrate that the average bear market duration, since 1946, has only been 16 months.
- Very few in modern history last fully two years or longer.
- If you’re engaging a defensive investment strategy, you probably shouldn’t bet on one lasting so long.
- The longer a bear market runs, the more likely you’re waiting too long to re-invest.
- If you remain bearish for longer than 18 months, you may miss out on the rocket-like market ride that is almost always the beginning of the next bull run.
- Missing that can be very costly for investors.
So are we currently in a bear market?
- Based on the four rules above, there's a high probability that we are not in a bear market.
- Since I've uploaded this post, the market has bounced swiftly off the 100 moving average on the weekly.
- Just as the covid-induced drop of March 2020 turned out to be a 'buy the dip' opportunity, as opposed to the beginning of a bear market, the sharp correction we have seen since the beginning of this year goes against the first rule of the bear market.
- It’s critical not to call a bear market falsely, and this is a huge mistake that a lot of people make.
- If the market is just going through a correction (a short, sentiment-driven downturn of -10% to -20%), you’re better off riding through it and maintaining your portfolio.
- It is impossible to accurately and consistently time market corrections because of the way they behave.
- A correction can start for any reason or no reason. So if you believe that the economy is strong, and the fundamentals of the company you invest in remain solid, there's no need to sell off your holdings, especially when your actions are motivated by fear.
Conclusion
Bull market corrections are not fun, but it's important as an investor for you to be able to distinguish bear markets/recessions from bull market corrections. Choosing to undertake a bear market investment strategy and go defensive should be rare and shouldn’t be done by gut feel or by your neighbor’s opinion. Exiting the market is among the biggest investment risks you can take—if you’re wrong and you have a need for portfolio growth, missing bull market returns can be extremely costly.
If you like this educational post, please make sure to like, and follow for more quality content!
If you have any questions or comments, feel free to comment below! :)
📌Cryptocurency World , coin &Token Types: The Ultimate Guide❗❗It’s important not to confuse the terms “cryptocurrencies” , "Coins " and “tokens,” Different type of them ,as there are fundamental differences that distinguish them.
Summary :
To put simply ,The two most common blockchain-based digital assets are cryptocurrencies and tokens. The biggest differentiation between the two is that cryptocurrencies have their own blockchains, whereas crypto tokens are built on an existing blockchain.
What Is a Digital Asset?
Broadly speaking, a digital asset is a non-tangible asset that is created, traded, and stored in a digital format. In the context of blockchain, digital assets include cryptocurrency and crypto tokens.
What is a cryptocurrency coin?
Cryptocurrency coin, like Bitcoin, is essentially a digital form of money that is backed up by a native blockchain The functions of a coin are strictly monetary — you can use it as a mean of payment, store of value, or as a speculative asset to trade, and essentially that’s it. The features of a coin are also similar to fiat money — it is fungible, divisible, and the supply is limited.
By definition, a cryptocurrency coin serves only as a digital form of money. The most distinctive feature of a coin is that it is native to the blockchain it’s made on and operates independently from any other platform.
Okay, then what is “altcoin”? This is essentially any cryptocurrency coin that has its own blockchain but is not Bitcoin. Some altcoins are just forks to Bitcoin, meaning that they base on Bitcoin’s open-source protocol but still have their own blockchains, like Litecoin. Others, like Monero or Ethereum, are completely independent blockchains.
What is a token?
The token is a non-native blockchain asset and its value goes beyond only monetary functions. Tokens also require another platform to exist and operate.
For example, ETH is a cryptocurrency that is native to the Ethereum blockchain, which makes it a coin. However, one of the primary features of the Ethereum network is the ability to create new tokens within the network. The cryptocurrencies that are created on this network will be called tokens. For example, USDT — the most popular stablecoin pegged to the value of $USD is a token, which operates on the Ethereum blockchain.
A cryptographic token is a digital unit of value that lives on the blockchain. There are four main types:
1-Payment tokens
2-Utility tokens
3-Security tokens
4-Non-fungible tokens
Fungibility :
All crypto tokens break down into two broad categories — non-fungible and fungible, with the latter being the most common type. Fungibility is a feature of a token which essentially means that one token is indistinguishable from another.
In simple words, a dollar is always a dollar, and Bitcoin is always Bitcoin. You can exchange the $10 bills with your friend and each of you will still have the same value in the wallet.
but Non-fungible tokens, or NFTs, are a type of cryptographic token — a digital representation of value that lives on the blockchain.
NFTs can represent the value of physical assets. A painting, for instance. But they can also represent the value of digital assets, such as a short story that is only available online.
NFTs have three characteristics that set them apart from other types of token: 1. THEY’RE UNIQUE -2. THEY’RE VERIFIABLE- 3. THEY’RE TRADEABLE
-Utility Tokens:
Utility tokens are a popular type of fungible tokens that you can think of as the chips at the casino. In the same way that you need to buy chips to play blackjack or poker, you need utility tokens to power the operations on the protocol.
The most famous utility token example is Ether which powers all the transactions and smart contracts on the Ethereum network. As we just said before, ETH can be used as a means of payment, however, its primary purpose is to be utilized in the blockchain.
Social Tokens (fan tokens):Social tokens can be a very interesting type of crypto utility asset that recently gained a lot of popularity among the crypto space and also presented the concept of tokenization to the broader public. In simple words, social tokens are backed by the reputation of an individual, brand, sports club, or just any community
-Security Tokens vs Equity Tokens
In simple, security tokens are common stock on the blockchain. These tokens are similar to the company shares held by the investors and companies usually issue voting rights through a blockchain platform. The tokens are liquidated to create an Equity Tokens. In other words, these tokens contribute an investment contract, where the Investors typically purchase in anticipation of future profits in the form of dividends, equal sharing of revenue generated and the normal appreciation process.
Security tokens bridge the gap between the traditional financial sector and the blockchain framework; it’s one of the reasons banks have initiated the integrated Blockchain frameworks in their system. Issuing security tokens allows investors to raise funds through a thoroughly regulated digital share of its equity, asset or part of the revenue.
The key difference between Security Token and Equity Token is that in the security token, an asset like real estate, gold etc. are used as collateral. However, in the case of Equity tokens, the shares of the company are diluted into tokens.
We can place coins and tokens in different categories as you can see in the chart above, and some of them are common to other categories.
As digital currencies are emerging, various other categories may be added in the future.
-Governance token
Governance token is the type of crypto asset that grants its holders decision-making rights over the project’s protocol, its product, and its features .it represent voting power on a blockchain project. They represent the main utility token of DeFi protocols since they distribute powers and rights to users via tokens. Governance discussions on Yearn Finance. With these tokens, one can create and vote on governance proposals.
- Also Metaverse tokens are a unit of virtual currency used to make digital transactions within the metaverse. Since metaverses are built on the blockchain, transactions on underlying networks are near-instant. Blockchains are designed to ensure trust and security, making the metaverse the perfect environment for an economy free of corruption and financial fraud.
-DeFi tokens represent a diverse set of cryptocurrencies native to automated, decentralized platforms that operate using smart contracts. These provide users' access to a suite of financial applications and services built on the different blockchains.
Traders gaining momentum: March Edition!Hey everyone! 👋
This week, we thought it would be fun to highlight some of the best up-and-coming accounts on TradingView. All of these folks deserve a follow, so be sure to show them some love! ❤️❤️
If you think we’re missing someone, be sure to make it known below in the comments. Also, we’ll be doing these roundups from time to time so be sure to follow us so you don’t miss any of them!
Let’s jump in.
We’ve sorted each Author by the asset class they focus on. Click on their profile, and see if you like what they're putting out!
Multi-Asset:
WhenToTrade
reiiss7
EvanMedeiros
goledger
SPYvsGME
DefyingFinance
Stocks & Indices:
OccamsPhazer
Steversteves
luketroutner
kartk7
Crypto:
mohsenaminii
TheUnbounded
DeFeye
BGMind_Control
RyanTanaka
mogues
WolvesOkami
GunMoney
luizhcruz
Currencies:
ironcladammar
And there you have it! Our roundup. Don’t forget to follow TradingView for regular educational content.
Think we missed any up-and-coming accounts? Point them out in the comments! Obviously, don’t shill yourself. 😉
Cheers!
-Team TradingView
The Oil Price War Here Are 3 Things You Need To Know “Technically” about the High and Low Oil Price
Brent crude oil prices rose steadily for months and surged more than 72% over the last one year-climbed to 14- years high of $139 per barrel. After fluctuating wildly the price per barrel of Brent oil appreciated more than 33% since Russia invaded Ukraine on February 24 and eventually fell dramatically to about 30% from the peaks to give up all the gains and touched the lows of $96.90 per barrel.
Later on, prices retreated up again to $107.80 per barrel levels. Traders fretted over the fragile moves and markets are thrown completely out of whack. In the midst of geopolitical drama and fears of supply disruptions, there's just no certainty about where oil prices are heading. In order to correctly understand the ongoing price tussles and manage your risk timely,
Here are 3 important things you need to know technically about the fragile oil price moves:
1-Trend channel
Long term trend channel clearly depicts the prices moving within the ascending trend channel and touches the peaks and bottoms of the channel in the last several times, except on a few occasions where prices overshoot the supply area. The current channel displays prospective supply and demand areas. A simple approach can be to sell longs when prices hits the upper boundary of the channel and buy when they touch back to the downward range. Currently, prices are moving in the middle of the trend channel, and suggest to stay cautious and do nothing.
2-Moving Average Crossovers
A moving averages crossovers (dead or golden) provides signals when a trend is about to reverse (bearish or bullish) and it happens when two or more moving averages cross each other. Despite the fact that this approach doesn’t predict future direction, is laggard and slightly delayed depending upon the time frame we’re analyzing, but still it can be a very effective tool to use as a price confirmation signal for smoothing prices and understanding the ongoing trend reversals. It can be used to determine stop-loss levels. At present, we’ve got dead-cross signals after the sharp decline from the peaks.
3- Patterns/Polarity
One of the most authentic price patterns to determine bullish reversal is the Head & Shoulder Pattern. It comprises the Left Shoulder, Head, Right Shoulder & Neckline, where the neckline can be upward, downward, and horizontal. This pattern generates breakout signals when prices break the neckline, and one notable point is that, this neckline can act as a key actionable point in making money. The neckline can display as a polarity level-support becomes resistance & resistance becomes support. Moreover, this neckline can act as stop-loss or stop-buy point. You can gauge where prices are heading by calculating the height of the head. Calculate the difference between head peak and neckline and subtract this from the neckline level, you’ll get your target price. Currently, the pattern has broken the neckline and confirms a bearish trend and prices reacted to this signal and dropped down to the low of $96.90.Recent pullback from the lows may take it back to the level of the neckline.
Currently, we assume the pullback from the lows may stretch the current moves up to the neckline level, which may act as resistance (polarity). If prices surpass neckline levels then we need to work alternatively.
It is important to practice these techniques regularly and apply them on different time frames to exactly pinpoint your entry and exit points. Remember, risk management is the key and you need to rightly place your stop loss or stop buy orders.
In future posts I will further explain when and how to apply stop loss and stop buy orders using trend channel, moving averages crossovers, and Head & Shoulder techniques.
Happy Trading :)
Ehtesham Khan, CMT, CFTe
Chartered Market Technician
CEO | EK Global Capital
Chart Analysis is not a gambling! Reason why TA is greatHello traders. This is Tommy.
Today, I prepared the most basic and at the same time essential materials that every trader should know. Trading is literally the act of exchanging or trading something with a certain value. If we look at the history, we humans have always traded something within the social community from the Neolithic Age to develop into a better civilization or for individual survival when we have enough food or assets. When the surplus accumulation and self-sufficiency economy due to food production was formed, even before the concept of currency or money, buying and selling (trading) was always with us.
But when we trade, it is not a reasonable thing to do if we lose money when you buy or sell something, right? We humans have always traded at a value or price that is commensurate with supply and demand, within this immutable fence. And we, who are full of greed, have been trading in such a way as to somehow benefit ourselves a little bit more. In a way, I think this is the basic idea of capitalism.
Anyway, our ancestors naturally oriented trades for profit, sometimes seeing losses and sometimes profits through these transactions. And suddenly realized. “Ah, the quantity demanded, and the quantity supplied change over time. Because of this, all objects in this world, even abstract ones, change in value over time. Oh, I can make money if I use this well?”
A culture of profit taking has naturally been formed thanks to those who possess the temperament of smart entrepreneurs. In this way, the economy and financial markets were eventually born, and several market participants came in for the sole purpose of generating profits, that is, for investment purposes. People who have properly understood the market principle of supply and demand have been trading with certain standards to make money with it. Some people can trade by the weather (buy when it's sunny, sell when it's raining), some by rolling the dice (buy when it's high, sell when it's low), and someone just by feeling. Of course, economists studied after realizing that trading on unreliable and absurd standards would eventually destroy them. And realized it. “Ah, let’s find the right standard to set the standard. From what I've seen so far, does it make money by trading based on the information about the product and the value of the product that changes every moment? Let’s dig into it properly!”
And they created a great science. Analysis through information, Fundamental Analysis (FA), analysis through charts, that is, past transaction data, and Technical Analysis (TA: Technical Analysis).
FA is an analysis method that determines whether a product's current intrinsic value is overvalued or undervalued. For example, when we want to invest in a company, that is, if we want to buy shares or stocks in that company, we must first estimate the company's growth potential and potential, right? To do this, you must make a final investment decision by referring to the company's financial indicators, good news/bad news, past asset/revenue growth rates, etc.
On the other hand, TA is a method of making investment decisions by referring to various theories and indicators with meaning in charts that intuitively show past price movements and momentum.
Of course, it would be the best to do both FA and TA, but in these days, retail traders and individual investors, like us, have time/technical limitations to receive information, analyze it, and immediately reflect it in investment. It is not enough that there are various kinds of false information to deceive the traders, and even if it is reliable information, it is highly likely to start at a loss even if it is received a little later than others. It is useful to spot large market trends in the long run, but when this information reaches the public, it is likely that it has already been priced in by institutions (Big Parties). Without huge information power or a computer that can perform FA quickly and accurately, it is difficult to survive in this market with only FA. There is a risk that is too great to carry out an investment with only one FA standard.
Therefore, to make a successful investment decision, you need to find a more precise trading position through TA, and in the end, if you are a skilled investor, you must learn TA.
The dictionary meaning of TA is known as a technique for predicting future market trends by examining a tool called a chart that digitizes the overall price volatility and momentum of a product. I'm someone who doesn't fully agree with this meaning. The term “prediction” itself is a very dangerous word. Even the most talented investors in the world cannot predict future prices unless they are gods. Technical analysis is closer to the realm of response than prediction. For this reason, our traders look at the charts and always have various possible scenarios in mind and come up with appropriate countermeasures accordingly.
With less than 10 years of trading experience, if I dared to define the meaning of the term technical analysis, I would like to say: Personally, all TAs are based on historical data, and through various theories (or methodologies) and technical indicators, first, probabilistically identify the market trend, that is, whether the price is an upward trend or a downward trend, and then determine the price action, that is, support resistance. I think it is an analysis technique that derives the sections with high probability.
Some of you may have questions like this. “No, how do you find a trend and price action interval by looking at only historical data?”
This is the reason I fell in love with market analysis. This study called technical analysis is a technique that statistically patterned and quantified the psychology of investors (greed, doubt, fear, etc.) with a lot of data from the past. Surprisingly, external variables that can affect the market, such as good news/bad news, are also reflected in this probabilistically. There have been many times when I have felt the greatness of technical analysis, and there were many times when good news/bad news came out amazingly at just the right timing in situations where there was no choice but to rise or fall referring to the chart. Of course, there are situations where Big Parties leak news to the media to take advantage of popular psychology, but even the pattern, timing, or frequency of such good news and bad news is reflected in the study of technical analysis.
Anyway, once you have probabilistically derived the market trend and price action section through TA, you need to design a trading strategy according to the situation. There are words that I keep emphasizing like nagging. Just looking at the charts doesn't mean you're good at trading. This trading strategy includes how to structure the portfolio, how to design the profit/loss ratio/range, how much seed to enter, high/low multiplier, and how to set up profit/loss response strategies.
In addition, a well-designed principled strategy is essential to prevent non-thinking trading. This principled strategy is easy to design, but incredibly difficult to follow and implement. No matter how well technical analysis and trading strategies are formulated, these principles are of no use if they are not well designed or adhered to. There are individual differences, but honestly, I don't think there is an answer to the principle strategy other than learning or mastering it through long-term practice or entrusting your own technical analysis/trading strategy to a machine/computer/algorithm. The fewer human emotions are involved, the higher the success rate, but how can you trade without emotions when your money is at stake? It's hard. One tip is to start trading with a small amount that you don't mind losing if you want to learn principle trading well. It doesn't matter if you lose it, so you'll be less empathetic that much, and you'll be able to increase a seed little by little.
We must become traders who always think of risks (losses) before rewards (returns). Please keep this word in mind. For example, in a trading setup that costs 10 million dollars if you make a profit and 10 million dollars if you lose, rather than a mindset like “Oh, I want to win 10 million dollars quickly~”, “I may lose 10 million dollars. You must trade with the mindset of “Let’s be prepared.” This will naturally match the seed to your bowl.
Then I'll wrap up for today.
Until now, this was Tommy of the Tommy Trading Team.
Your subscriptions, likes, and comments are a big help to me.
Thank you.
The Journey of a Trader 🛣🚶
Hey traders,
Why 95% of traders fail?
In this post, we will discuss the trader's road to success and why most of the traders give up at the halfway point.
On the chart, I was trying to portray the journey of a trader:
most of the traders start this game with gambling.
They randomly buy and sell the market relying on their intuition and with a high degree of probability end up with nice cush.💰
However, as they proceed they realize that the profits that they made were the product of luck, not skill. 🍀
The more they trade, the less they win.
At some moment losing trades start to outperform winners.
Trying different things, jumping from one strategy to another, one comes to the conclusion that nothing seems to work.🙅♂️
He goes broke, he is panicking.
At that stage, the majority blame the market for their failure.
Forex, stocks, gold trading is complete scam.
Making profits on the market is not possible.
They give up and leave.👣
Only 5% are persistent. Only 5% are blaming themselves not the market for their failure.
They start following a strict trading plan, they follow risk management recommendations of pro traders and at some moment they start making 0.📝
Buying and selling the market, at the end of the day, they don't lose anymore.
That is the most important milestone in a trader's journey.
Realizing that the one stopped losing, a trader starts polishing and improving his rules in order to achieve better results.
He trains and works with his psyche.💪
After years of struggling, one finally contemplates a consistent account growth.
He became a pro trader.🏆
I wish you to be persistent, traders and don't give up.
Patience pay and at the end of the day winners win.
❤️Please, support this idea with like and comment!❤️
How the Fed's Rate Hikes Affect the Market (or Not)In this post, I'll be demonstrating how the Fed's rate hikes affect the equity market (or how they don't), through historical examples and analyses of market psychology. This is an issue that has been going on for a while, and one that has caught the attention of all market participants. Yes, tapering and rate hikes aren’t necessarily good news, but I don’t think that 1) they necessarily indicate the beginning of a bear market/recession, and 2) the Fed is as powerful and influential as we think they are.
This is not financial advice. This is for educational purposes only.
Introduction
- There’s a myth, a misconception in the market that the Fed allegedly rescues falling markets with rate cuts and easing measures, and vice versa for when the market is overheated.
- This myth began in 1987 during Black Monday, when Alan Greenspan’s Fed cut rates after the crash, creating an impression that the Fed was directly responding to the stock market.
- This is when the (mis)belief that the Fed would put a floor under a a falling market stuck.
- Nevertheless, if we analyze the data, it actually demonstrates that the Fed stood pat for most corrections, and cutting cycles typically arrive during bear markets, just as coincidence.
Historical Cases
- There are only two occasions in history where the Fed’s cutting cycles corresponded with market lowpoints.
- The first is the aforementioned Black Monday of 1987, and even for this case.
- If we take a look at the situation back then, it’s not so much that the Fed made international moves that contributed to history, but rather that the bear market started amid a global liquidity crisis.
- With excess liquidity, the rates should have been flat, or down, but that wasn’t the case.
- Thus, the Fed’s rate cuts were vital to unfreezing credit and ensuring banks and clearing houses would have access to liquidity they needed, while the market was under severe stress.
- The second occasion was the rate cut in 1998, when stocks were reacting to the collapse of Long-Term Capital Management (LTCM).
- There was fear in the market that this collapse would lead to a domino effect, ending in a banking meltdown.
- Generally, when people fear a banking contagion, liquidity in interbank funding markets dry up.
- The Fed’s action to cut rates during this time helped keep money moving, and ensured that banks met their regulatory obligations.
Market Psychology
- In order to understand the recent discussion revolving around the importance of the Fed’s actions, we need to understand human nature.
- People love finding narrative threads and grand explanations because we’re biologically wired to make sense of the world that way.
- They confuse correlation and causation, and zero in on evidence that supports their view and shuns whatever suggests otherwise.
- But it’s important to remember that in most cases, a fact that everyone knows, tends to be closer to myth than reality, and even if it weren’t a myth, the fact that everyone knows it does not give us an edge in the market.
Summary
Market shocks are caused by surprises. News about a pandemic or cyber attack that catches investors off guard is much riskier than macro events that are predictable and can be anticipated. Given that the markets are efficient (which I believe they are), it's rational to assume that news about the Fed's rate hikes, and people reaction to it are already priced in. While short term volatility is definitely expected, I believe that the likelihood of this event becoming a trigger for a multi-year recession is extremely unlikely.
If you like this educational post, please make sure to like, and follow for more quality content!
If you have any questions or comments, feel free to comment below! :)
How To: Find Oil and Gas Stocks on the MoveThis video is more about how to use the TradingView Screener to find stocks in industries you might be interested in investing in, and this example is just looking at Gas and Oil where a lot of the action is at the moment with possible shortages not only in Europe, but potentially all around the world if things continue the way they are.
HOW-TO: Cycle analysis helps to detect important turning pointsThe concept of cycle analysis has enourmous power to detect and project important points in time when markets might turn. Cycles work in the time domain and therefore offer additional value to technical analysis. As technical analysis is mainly driven by price, cycle analysis offers a view on another parameter: Time. The most important situations occur when time-based cycle projects come into alignment with price-based technical analysis.
Therefore, every trader and analyst should also pay attention to time-based cycle analysis. My objective is to offer tools and improved technical indicators on this platform to combine cycle analysis with technical analysis to help in detecting important turning point.
This idea is a summary and real-case example on how time-based cycles gave us the exact pre-information on the expected market top during the period October 2021 to 2022. All has been freely avaiable to the public without any need for subscribtion. Check the signature link.
Time-based analysis requires additional tools which are not available directly on TradingView yet. Therefore we must reference additional tools to detect relevant cycles. The public announcements based on time-based cycle analysis on the global markets are labled on the chart "Weekly Cycles Rolling Over" (Oct.2021) and "The Calm before the next Wave" (Jan.2022). Look for "The clam before the next wave" via the signature link. They are freely available for your review and have been posted in advance. We will continue to bring more and more of our cycle tools directly to the TV platform, as Pine will allow us to do so.
Once you know the dominant cycle (length), you can use this information to improve your technical analysis on the price chart. I do provide different free indicators here on the TradingView platform which are free to use in your own analysis. Please see the linked related ideas which provide access to these indicators for your own free usage.
The key is do use the known dominant cycle as input for these indicators. Once the "correct" input is given - these indicators will reduce noise and will make the turns visible on the price chart. The following example is using one of the indicators available here on the TradingView platform. The cyclic tuned RSI indicator:
1) The first indicator signal occured already in May 2021 when to signal line crossed below the dynamic upper band of the cyclic smoothed RSI indicator. While the weekly cRSI is also overbought, indicated by the red background. However, this technical signal occured not in the projected timing window which was given by the dominant cycles. The cycles still have been in their upswing phase on the weekly and daily cycles. So at point (1) we had a technical sell signal. Which was not confirmed by time-based cycles. Time and price have not come into alignment.
2) The second indicator signal (sell) occured in November 2021. When the signal line touched the upper band and reversed, while the weekly cycles have been in overbought situation (red background). This time now is different because the time-based cycles have rolled over! The upswing cycle phase has ended. This was published based on the the time-based cycle analysis "Weekly S&P500 cycles rolling over" on October 2021. So now we have an alignment of the technical cyclic tuned indicator and confirmed by the weekly cycles which have rolled over now indicating a time-based top. Price and time based cycles have come into alignment. There is no misinterpretation possible. There are no other sell signals or buy signals following this method. A clear top/sell signal in November 2021, after the time-based cycle analysis was published in October 2021.
3) The third indicator signals (sell) occured around 12. Jan. 2022, once the divergence between price and the indicator top has become visible. This price cycle signal (divergence) was supported by the time-based cycle analysis published on 18th January, labled "the calm before the next wave". This time, again daily time-based cycles and price cycles from the shown indicator have come into alignment. Again a clear signal that after the weekly cycles (see #2) now the daily cycles have joined the bearish camp confirmed by the divergence signal at the same time on the price chart.
Thats how you can use cycles to improve your trading skills.
Join the livestream to discuss the analysis and how it can be used on the TradingView chart:
www.tradingview.com
Make Your Pine Libraries More Useful█ OVERVIEW
Follow these tips to help other Pine coders make the most out of your libraries.
Pine Libraries are open-source script publications containing functions intended for reuse by other Pine programmers. Introduced with Pine v5, they are transforming the landscape of the Pine community by making it easier for authors to share their most useful functions, and for other coders to reuse them. You will find more information on how to write and use a library in the Pine User Manual's page on libraries .
The whole point of libraries being that our community of Pine coders can use them, it follows that efforts to help others understand and use our libraries will be well spent. The following tips are good practices that will hopefully help you achieve this.
█ WRITING LIBRARIES
Scope
Clearly define your library's scope so users can quickly grasp what it's about. A library's scope may be technical analysis, array-handling, math calculations, etc. Avoid libraries containing a large number of functions, unless they cannot be divided into meaningful scopes. Single-function libraries are fine, as are ones containing only a main function and a few helper functions. You can always add functions to an existing library by updating it.
Naming
Carefully choose your library's name. It cannot contain spaces, so camelCase should be preferred. First and foremost, your library's name should reflect its scope. A long, descriptive name is preferable to a short one that is too generic. Some authors like to prefix their library names with "Library" to make it clearer to non-programmers that the publication is not an indicator or a strategy.
Function documentation
Programmers who cannot understand your library's functions will not use them. Your code's documentation is thus critical. Your audience will need to understand what your functions do and how to use them. Compiler directives help you structure the most important information about your library, its functions' signatures and results. Additional comments in the code of longer functions will also help other programmers understand what's going on in there. Sometimes just a few well-chosen words will help others tremendously.
The library-specific compiler directives for documentation are:
// @ description
For each function, the following should be used:
// @ function
// @ param
// @ returns
These compiler directives are optional, but you should use them for every library function. When you publish your library, the text following the compiler directives will be extracted to build formatted documentation of each function, for inclusion in your publication's description.
Note that you can add additional comment lines after the `// @ returns ` directive. Those extra lines will also be extracted in your function's documentation for its publication's description.
Usage Examples
It is essential to end your library's code with well-designed usage examples. Try to maximize the quantity of functions you use in your demonstration code. If needed, show the different ways your library's key functions can be used. Comment liberally.
Note that your demonstration code can contain functions calls you would use in strategies. The broker emulator will execute orders when the library is loaded on a chart, but the chart will not display the usual markers indicating trade entries and exits.
█ PUBLISHING LIBRARIES
Private vs Public
Libraries can be published privately of publicly. Private libraries can only be used in private scripts. Public scripts must use public libraries. It is not possible to publish closed-source libraries.
Descriptions
The default function documentation text generated when you publish your library is very useful, but it is only one part of a good library publication. Your description should include more content than just the function descriptions. After validating your function documentation, write a brief explanation of your library's purpose and a general description of the type of functions it contains. Explain how your functions can be used in other Pine scripts and mention typical use cases. Include links to any useful reference material. While links are officially not allowed in descriptions, script moderators will tolerate them when their purpose is strictly educational—not to generate traffic.
The way we structure most of our library descriptions is to include the following sections:
• Overview
• Concepts
• Notes
• Functions
Note that you can include Pine code in your description by wrapping it in these tags:
Categories
As when publishing other scripts, you will also need to select the best categories to tag your publication. By choosing them wisely you make it easier for others to find your library in searches. Library categories are different from the ones displayed when publishing indicators or strategies.
█ UPDATING LIBRARIES
Like indicator and strategy publications, libraries can be updated. When you update a library, its new version number will be inserted in the update's release notes. It is important because that version number must be mentioned in the `import` statement used in scripts that use your library. Your release notes will allow users of your library to understand how each of its versions is different.
Note that library users will need to update their script's `import` statement for it to use a new version of your library. There is currently no way to make this process automatic.
█ NOTES
In order to help other programmers use their libraries, authors should be helpful and responsive to questions and requests in their publication's Comments.
While most Pine programmers will understand what your Pine library is, keep in mind that many TradingViewers do not know Pine and will not know what a library is. Please be patient when explaining to them that libraries are intended for the Pine coder community, and that they will not be useful to non-programmers.
We use the typographic guidelines and techniques documented in our How We Write and Format Script Descriptions publication to write our publication descriptions.