You won't like this one BITCOINFor the die hard crypto fanatics; you won't like this idea one bit. This is coming from someone who was Bullish from 2011, so don't shoot it down without giving it a read either.
You might have seen the film: Wall street, money never sleeps?
Well, in this film Gekko shows a chart on the wall of his apartment;
This chart shows the Tulip Mania curve, it was insane - below, I have taken the story from Investopedia (word for word) and below each section I will edit it ever so slightly...
First - here's a little background.
What Was the Dutch Tulip Bulb Market Bubble?
The Dutch tulip bulb market bubble, also known as 'tulipmania' was one of the most famous market bubbles and crashes of all time. It occurred in Holland during the early to mid-1600s when speculation drove the value of tulip bulbs to extremes. At the height of the market, the rarest tulip bulbs traded for as much as six times the average person's annual salary.
Today, the tulipmania serves as a parable for the pitfalls that excessive greed and speculation can lead to.
Here's the chart up close;
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History of the Dutch Tulip Bulb Market’s Bubble
Tulips first appeared in Europe in the 16th century, arriving via the spice trading routes that lent a sense of exoticism to these imported flowers that looked like no other flower native to the continent. It is no surprise then that tulips became a luxury item destined for the gardens of the affluent: according to The Library of Economics and Liberty, "it was deemed a proof of bad taste in any man of fortune to be without a collection of tulips."
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The first ₿itcoin appeared on the internet circa 2009; becoming a luxury item to own, a symbol of hope and freedom. it seem to mirror the quote exactly "a proof of bad taste in any man of fortune to be without a ₿itcoin wallet".
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Following the affluent, the merchant middle classes of Dutch society (which did not exist in such developed form elsewhere in Europe at the time) sought to emulate their wealthier neighbors and, too, demanded tulips. Initially, it was a status item that was purchased for the very reason that it was expensive.
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The middle class want affluence and wealth and see Crypto as a way to make money the easy way - thus driving up price, of such a status item.
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Cycles
The market moves in cycles which can be broken down into waves, this can then be forecasted using tools such as Fibonacci to predict price in the future.
In Elliott wave principle; You have cycles that fit into time. While exact time spans may vary, the customary order of degrees is reflected in the following sequence:
Grand supercycle: multi-century
Supercycle: multi-decade (about 40–70 years)
Cycle: one year to several years, or even several decades under an Elliott Extension
Primary: a few months to two years
Intermediate: weeks to months
Minor: weeks
Minute: days
Minuette: hours
Subminuette: minutes
So we would have to count the current move as a Cycle on the current count and a primary cycle inside of that (Monthly & weekly in essence) as in theory we are still inside a 1 move of anything larger.
This is the current (perceived count);
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Back to the Tulips
According to Smithsonian Magazine, the Dutch learned that tulips could grow from seeds or buds that grew on the mother bulb. A bulb that grew from seed would take seven to 12 years before flowering, but a bulb itself could flower the very next year. So-called "broken bulbs" were a type of tulip with a striped, multicolored pattern rather than a single solid color that evolved from a mosaic virus strain. This variation was a catalyst causing a growing demand for rare, “broken bulb” tulips which is what ultimately led to the high market price.
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According to some technical guys, ₿itcoin can be mined and with enough equipment 1 full coin can flower over a year - due to the halving, which causes an increase in demand. It is driven to high market prices.
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In 1634, tulipmania swept through Holland. The Library of Economics and Liberty writes, "The rage among the Dutch to possess was so great that the ordinary industry of the country was neglected, and the population, even to its lowest dregs, embarked in the tulip trade.
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In 2021 ₿itcoin swept the world reaching as far as El Salvador. The rage amongst the Tweeter crowd was so great that, every man and his dog neglected common sense and even with stimulus money being used to embark on the ₿itcoin ladder.
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At this point; you probably hate this! I understand, majority of people only want opinions that mirror their own beliefs - trust me, I'm Bullish overall, I want a buy n hold strategy, but I cannot ignore factors out of my control. Regulation, Government stupidity and the world melting.
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Some simple logic.
Back in March I posted simple roadmap;
Inside the post (click the image above) you will see exact co-ordinates for the move and the current situation. See below;
+++++++++++++++++++++++++++++++++++++
So where next and why?
If we are seeing a monthly 3 being formed (cycle phase) then we will go into another decline. Collecting new found liquidity at the high.
And this making larger cycle 1 when it hits the 5th of this current cycle.
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Some more on Tulips
A single bulb could be worth as much as 4,000 or even 5,500 florins—since the 1630s florins were gold coins of uncertain weight and quality it is hard to make an accurate estimation of today's value in dollars, but Mackay does give us some points of reference: among other things, 4 tuns of beer cost 32 florins. That's around 1,008 gallons of beer, or 65 kegs of beer. A keg of Coors Light costs around $90, and so 4 tuns of beer ≈ $4,850 and 1 florin ≈ $150.4 That means that the best of tulips cost upwards of $750,000 in today's money (but with many bulbs trading in the $50,000 - $150,000 range). By 1636, the demand for the tulip trade was so large that regular marts for their sale were established on the Stock Exchange of Amsterdam, in Rotterdam, Haarlem, and other towns.
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A single ₿itcoin could be worth as much as $67,000 which is hard to make an accurate estimation as it could be as little as $8,200 if you buy on Binance (and you have fast reflexes) Depending on where you drink beer, depends on how you can compare this. In Norway you can pay upward of $9, whereas In Antananarivo you can buy a beer for 6 cent.
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It was at that time that professional traders ("stock jobbers") got in on the action, and everybody appeared to be making money simply by possessing some of these rare bulbs. Indeed, it seemed at the time that the price could only go up; that "the passion for tulips would last forever." People began buying tulips with leverage, using margined derivatives contracts to buy more than they could afford. But as quickly as it began, confidence was dashed. By the end of the year 1637, prices began to fall and never looked back.
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At the time ETF's become available, it seems like the price can only go up. This Bull run will last forever, people start using leverage to buy ₿itcoin. Then - maybe a correction sets in.
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Never happen I hear you say; I often get asked about Plan B and the model - which of course makes some sense. But people are only reading the words and not seeing the chart;
Firstly, what happens when you see yellow dots? we go orange, yellow - boom.
Ok and then secondary to that; look at the line straight across until mid 2024 >
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Play this move out - another I posted in March this year, the logic was there for what I would regard as a weekly 3-4 move up for 5 giving a monthly 3. As per the Elliott post above in the roadmap.
Here's the outcome;
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Tulip conclusions;
A large part of this rapid decline was driven by the fact that people had purchased bulbs on credit, hoping to repay their loans when they sold their bulbs for a profit. But once prices started their decline, holders were forced to liquidate—to sell their bulbs at any price and to declare bankruptcy in the process. Smithsonian Magazine indeed notes that "hundreds who, a few months previously had begun to doubt that there was such a thing as poverty in the land suddenly found themselves the possessors of a few bulbs, which nobody would buy," even at prices one-fourth of what they paid. By 1638, tulip bulb prices had returned to from whence they came.
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A large part of what will be seen as a shock horror, will be people thinking they have diamond hands until the wife finds out they have over leveraged a position that might not come back for (2 years) - unable to pay back loans on money borrowed to buy crypto. No poverty in the world, is of course the dream.
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The Bubble Bursts
By the end of 1637, the bubble had burst. Buyers announced they could not pay the high price previously agreed upon for bulbs and the market fell apart. While it was not a devastating occurrence for the nation's economy, it did undermine social expectations. The event destroyed relationships built on trust and people's willingness and ability to pay.
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Prior to 2024; people announced they could not afford to hold such positions and the game mostly passed to the wealthy who could buy when the blood is running in the streets. This destroying the trust and belief, re-affirming the "rich get richer and the poor, get REKT"
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Bullish or Bearish - I hope you enjoyed it.
I've been lucky, planted my bulbs and waiting for the to flower. If the price comes back right I'll add to the position.
Just be careful, use proper risk management and don't just buy the hype. Do some research for your own entries.
Disclaimer
This idea does not constitute as financial advice. It is for educational purposes only, our principle trader has over 20 years’ experience in stocks, ETF’s, and Forex. Hence each trade setup might have different hold times, entry or exit conditions, and will vary from the post/idea shared here. You can use the information from this post to make your own trading plan for the instrument discussed. Trading carries a risk; a high percentage of retail traders lose money. Please keep this in mind when entering any trade. Stay safe.
Wave Analysis
Trading Chaos Part 5 | CorrectionsHello, everyone!
Last time we considered the Elliott waves 1-2-3-4-5 cycle. Today we are going to talk about correction types. Corrections contains of 3 waves A-B-C. Bill Williams recommends to trade only Simple Zigzag corrections, but we also should be able to distinguish other types of corrections. Let's go!
Simple Zigzag Correction
If you find that the corrective Wave A consists of 5 waves there is a high probability that current correction type is simple zigzag. If you decided to trade this correction, you should wait the Wave B end and execute the short trade. How to spot it's end? Find the target zone, usually it is between 50% and 62%, one of the three bars on the top should be the squat bar. Also you should find the fractal on the top.
Trading Chaos Part 4 | Elliott WavesHello, everyone!
Today we are going to spot the most important and challenging part of Trading Chaos by Bill Williams(BW) – the Elliott waves. This analysis is the most efficient in combination with other techniques of Trading Chaos. Market always moves with the waves and BW developed the conception which eliminate the uncertainty of Elliott Waves. In this article we will consider every wave and explain how to spot their target areas.
First of all we need to understand the 5 “magic bullets” which kill the trend. They are:
Divergence with the Oscillator
Target zone
The squat bar at the one of three top bars
Fractal at the top
Momentum change
Today we are goin to consider only the target zone. Other tools we will reveal in the next articles about Trading Chaos.
How to spot Wave 1 start?
Research the last wave from the previous trend. This should be wave 5 or c. This last wave have the typical structure of waves with less scale. You can use the technique for Wave 5 end defining to spot when trend is finished.
How to spot Wave 1 end?
Search the 5-waves structure inside the Wave 1. You also should spot the 5-th wave end. Use the 5 “magic bullets” which usually kill the trend.
SPX'S Elliot. What's ABC- WXY- WXYXXZ = Coffee Espresso shots !THE ONLY NOTICABLE DIFFERECNE IS THE CONNECTION WAVE "X" & "XX" IN WHICH THEY CAN
BE ANYTHIGN BUT AN EXPANDING TRIANGLE !!!
Double and Triple ZigZag Rules:
Double (DZ) and Triple (TZ) Zigzags are similar to Zigzags, and are typically two or three Zigzag patterns strung together with a joining Wave called an x Wave, and are corrective in nature. Doubles are not common, and Triples are rare. Zigzags, Double Zigzags and Triple Zigzags are also known as Zigzag family patterns, or 'Sharp' patterns. Double Zigzags are labeled w-x-y, while Triple Zigzags are labeled w-x-y-xx-z. Both these patterns are included in the list of rules and guidelines below. Only a Double Zigzag is illustrated below.
Wave W must be a Zigzag.
Wave C of W cannot be a failure.
Wave X can be any corrective pattern except an ET.
Wave X must be smaller than Wave W by price.
Wave X must retrace at least 20% of W by price.
The gross price movement of Wave X must be less then 3 times the price movement of Wave W.
Wave X must be no more than 5 times Wave W by time.
Wave Y must be a Zigzag
Wave Y must be greater than or equal to Wave X by price.
Back to back and double failures are not allowed.
Wave Y must be greater than 90% of Wave W by price, and Wave Y must be less than 5 times Wave W by price.
Wave Y must be no more than a factor of 5 times either Wave X or W in price or time.
Wave C of Y cannot be a failure.
Wave XX can be any corrective pattern except an ET.
Wave XX must be smaller than Wave Y by price.
Wave XX must retrace at least 20% of Y.
The gross price movement of Wave XX must be less than 3 times the gross movement of Wave W.
Wave Z must be a Zigzag
Wave Z must be greater than or equal to Wave XX by price.
Wave Z must be less than 5 times Wave Y by price, and must also be less than 5 times Wave W by price.
Wave Z must be no more than a 5 times either Waves XX, Y, X or W in both price and time.
Double and Triple ZigZag Guidelines:
The largest Wave in Wave W is usually less than Wave W by price.
Wave X is usually a Zigzag family pattern.
Wave X is usually less than 70% of Wave W by price.
Wave X will usually retrace at least 30% of Wave W.
Wave X is most likely to be a 38.2% retracement of Wave W.
Wave X is next most likely to be a 50% retracement of Wave W.
Wave X is next most likely to be a 61.8% retracement of Wave W.
The largest Wave in Wave X is usually less than 140% of Wave W by price.
The time taken by Wave X is usually between 61.8% and 161.8% of Wave 1.
Wave Y is next most likely to be equal to 61.8% or 161.8% of W by price.
Expect the time taken by Wave Y to be between 61.8% of Wave W and 161.8% of shortest of Wave W and X.
Wave XX is usually a Zigzag family pattern.
Wave XX is usually less than 70% of Wave Y by price.
Wave XX will usually retrace at least 30% of Wave Y.
Wave XX is most likely to be a 38.2% retracement of Wave Y.
Wave XX is next most likely to be a 50% retracement of Wave Y.
Wave XX is next most likely to be a 61.8% retracement of Wave Y.
The largest Wave within Wave XX is usually less than 140% of Wave Y by price.
Wave Z is most likely to be about equal to Wave Y by price.
Wave Z is next most likely to be about equal to 61.8% or 161.8% of Wave Y.
The largest Wave in Wave Z is usually less than Wave Y by price.
Learn To Identify The Variations Of PullbacksLast week, I spoke about the types of pullbacks (check related links)---Today, I will be talking about its variations.
Pullbacks have four variations: rbr, dbd, rbd, dbr.
You'll have to watch the video. . .learn its uses. . .and tell me what that has done to your view on the market.
Have a great week---everyone!
DIVERGENCE IS CONVERGENCE
✅There are several main ways to work on the stock exchange in trading. Technical analysis, for example, is recognized as effective and is used by almost all market participants. But the disputes about indicator analysis do not stop for a long time. Some traders talk about the backwardness of the method because trading operations are performed faster every day. Others build successful strategies based on one or more indicators. Still, others combine two methods to find successful market entries and get an effective tool for making money on the stock exchange. Divergence is often used for this, which will be discussed below.
🔴What is divergence
Divergence is one of the strongest signals that indicator analysis can demonstrate. To obtain it, one of the possible oscillators is used. The divergence conditions are that the curve of the price chart diverges from the indicator data. For example, with an uptrend, the price continues to move up, while the oscillator shows a decrease in the interest of the main participants of the trading system. In this case, we should expect a change in the direction of the price.
Such a change does not always mean a new trend. Sometimes it can be a normal correction or price fluctuation. To determine the exact forecast, the methods of technical analysis of divergence are used. The result largely depends on the timeframe, sometimes on the support and resistance levels.
⚠️There is also an opposite process — convergence when the price of an asset decreases, and the indicator shows growth. This process is called convergence. Both signals are used in the Forex market, but they are known collectively as "divergence".
There are bullish and bearish divergences in the Forex market. In addition, divergence is divided into three types:
1️⃣Classic divergence.
2️⃣Hidden divergence.
3️⃣Extended divergence.
❗️To successfully trade currency pairs on Forex, taking into account divergence, you need to learn how to correctly read information from the market. A combination of indicators and fundamentals of technical analysis will help in this. Divergence plays an important role, so its indicators cannot be ignored.
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✅Think like a Whale, act like a Whale! ✅In Crypto Space most of the Whales keep their value in BTC (900B marketcap) instead of USDT. (65B marketcap). There are significant exchanges from btc to large-scale projects such as XRP when these reach favorable relative values. Trading volumes are ridiculously higher in 2021, so we anticipate a big rise in the price of XRP over the next few weeks.
PS: Some people think that studing prices versus BTC is not important but, special if you are a swing trader, it is crucial.
How to measue targets in EW perspective; ''Wave 5''There are a lot of traders,
Contacting me with the question, how to identify the target of wave 5 after an 4 wave impulse wave structure.
Well, general rule, in which you can identify the wave 5 pattern target after completion wave 4 is following;
1. Measure wave 1 and use the lenght of the wave to identify your wave 5 target. Thus by starting at the end of wave 4.
2. Measure the 61.8% ratio of wave 2-3, apply the same rule as mentioned above. So the lenght of the 61.8% of wave 3, is your target at the end of wave 4.
3. Measure the 127.2% Fibonacci Retracement ratio of Wave 4. By connection the high of wave 3 with the low of wave 4.
--> Important NOTE: Some correctional Flat running waves intend to have a deeper A wave then C wave. So do not connect the retracement from the high of wave 3, to the low of wave A. By doing this, you will find inproper targets for wave 5.
Please rate this education chart, and if you want more to these, please let me know in the comments. Also other feedback is mostly welcome!
Wyckoff AccumulationMonitoring the formation of the Wyckoff accumulation pattern on LINKBTC price action.
Preliminary Support (PS) : where substantial buying begins to provide pronounced support after a prolonged down-move. Volume increases and price spread widens, signaling that the down-move may be approaching its end.
Selling Climax (SC) : the point at which widening spread and selling pressure usually climaxes and heavy or panicky selling by the public is being absorbed by larger professional interests at or near a bottom. Often price will close well off the low in a SC, reflecting the buying by these large interests.
Automatic Rally (AR) : which occurs because intense selling pressure has greatly diminished. A wave of buying easily pushes prices up; this is further fueled by short covering. The high of this rally will help define the upper boundary of an accumulation trading range.
Secondary Test (ST) : in which price revisits the area of the SC to test the supply/demand balance at these levels. If a bottom is to be confirmed, volume and price spread should be significantly diminished as the market approaches support in the area of the SC. It is common to have multiple STs after a SC.
Springs : usually occur late within a Trading Range and allow the dominant players to make a definitive test of available supply before a markup campaign unfolds. A “spring” takes price below the low of the trading range and then reverses to close within the trading range; this action allows large interests to mislead the public about the future trend direction and to acquire additional shares at bargain prices.
More information about Wyckoff Accumulation .
📣📣Lesson 1: Philosophy of Technical AnalysisHi guys
Today I decided to start teaching digital currency
And I will teach you the most important indicators and patterns that I use in my analysis.
And in the first lesson I want to explain the philosophy of technical analysis
And other courses including:
♦️ Session 1 - Philosophy of Technical Analysis , ♦️ Session 2 - Trends , ♦️ Session 3 - Support and Resistance (1) , ♦️ Session 4 - Support and Resistance (2) , ♦️ Session 5 - Charts and their types (1) , ♦️ Session 6 - Charts and their types (2) , ♦️ Session 7 - The downtrend line , ♦️ Session 8 - Ascending trend line , ♦️ Session 9 - Price Channel , ♦️ Session 10 - Graphic Patterns
♦️Session 11 - Flag Pattern , ♦️ Session 12 - incremental triangle pattern , ♦️ Session 13 - Decreasing Triangle Pattern , ♦️ Session 14 - Symmetric Triangle Pattern
♦️Session 15 - Soroshane Reverse Pattern ,♦️ Session 16- Roof Head and Shoulder Pattern , ♦️ Session 17 - Twin floor pattern , ♦️ Session 18 - Twin Roof Pattern , ♦️ Session 19 - Falling Wave Pattern , ♦️ Session 20 - Wage Rising Pattern , ♦️ Session 21 - Indicator and Oscillator , ♦️ Session 22 - Moving Average Indicator , ♦️ Session 23 - RSI Indicator , ♦️ Session 24 - MACD Indicator , ♦️ Session 25 - Fibonacci , ♦️ Session 26 - Candlestick Patterns.
🔴What is the philosophy of technical analysis and what is its application in digital currencies such as Bitcoin and other cryptocurrencies? In the first part of the training, we will discuss the basics of technical analysis.
Let's start by asking what is technical analysis? Technical analysis is the study of market behaviors using charts with the aim of predicting the future of price trends. This is a description of technical analysis that is accepted by almost all experts.
Philosophy and basis of technical analysis
In general, there are three principles on which technical analysis is based. These principles include:
🎯 Everything is included in the price.
The phrase "everything is included in the price" is the basis of the philosophy of technical analysis. This means that anything that can affect the price, including political, fundamental, geographical and other factors are included in the price. Belief in this sentence is a kind of introduction to technical analysis. After accepting this statement, we come to the conclusion that price analysis is all we need to study the markets.
🎯Prices move according to trends.
Prices move according to trends. In other words, prices like to maintain their current trend instead of changing direction. This law is a kind of expression of Newton's first law of motion, in which prices will continue to move as long as the deterrents stop them.
🎯 history repeats itself.
The philosophy of technical analysis is to study the past price and expect it to be repeated in the future. Another expression of this is to say: history repeats itself, and this is the key to predicting the future through the analysis of the past. In other words, the future is nothing but a repetition of the past.
🔴Technical Analysis vs. Fundamental Analysis
In the first part, we answered the question of what is technical analysis and its philosophy. In this section, we will point out the difference between technical analysis and fundamental analysis.
Both technical and fundamental methods always try to solve a single problem. The only problem is the forecast of price movement. In other words, in what direction the price tends to move. In fact, they approach a single issue in two different ways. The technical analyst believes that price changes are all he needs. In contrast, the fundamental analyst always deals with the causes and reasons for price changes.
As in the philosophy of technical analysis, the focus is on price changes, in fundamental analysis, it is the economic factors that affect supply and demand and cause prices to change.
Please support me with your like so that I can prepare more content for you
How to Use the Bitcoin Dominance Chart to Maximize ProfitsIn this post, I'll be explaining a simple approach to the cryptocurrency market, and how you can refer to the Bitcoin Dominance Chart (BTC.D) to maximize profits.
Disclaimer: This is not investment advice. This is for educational and entertainment purposes only. I am not responsible for the profits or loss generated from your investments. Trade and invest at your own risk.
Bitcoin Dominance (BTC.D)
- Bitcoin Dominance is simply an indicator that demonstrates the percentage of Bitcoin's market cap relative to the entire market cap.
- When Bitcoin dominance is high, it indicates that Bitcoin's market cap is relatively larger compared to that of other altcoins, and vice versa.
- So when Bitcoin dominance rises, it could either indicate that:
- Bitcoin is rising at a faster pace than altcoins (during an uptrend)
- Altcoins are correcting at a faster pace than Bitcoin (during a downtrend).
- Vice versa, a drop in Bitcoin dominance could indicate that:
- Bitcoin is dropping at a faster pace than altcoins (during a downtrend)
- Or that altcoins are rising at a faster pace than Bitcoin (during an uptrend).
- Understanding this, you can refer to the Bitcoin dominance chart to rebalance your portfolio according to market situations.
Historical Price Action
- Above, I've marked Bitcoin's price action (black), relative to that of ETH (blue), which represents the overall altcoin market.
- The captions in the chart best explain the logic behind the price action, and how dominance is affected by it.
- What's important to understand is that the situation is relative: a high dominance does not necessarily indicate that buying altcoins is a good idea.
- It's important to understand the overall market cycle and structure to determine which regions are good entries.
Anatomy of a Market Cycle
- Above, we have the market cycle explained using Elliott Waves.
- The market never moves in straight lines: It goes through phases of impulse waves, and corrective waves.
- Elliott Waves also have very strict rules that must be kept.
- Or else, the wave count is considered negated.
- Here are the rules:
- Waves 1,3 and 5 are always with the trend
- Waves 2,4 are always against the trend
- Wave 2 can never drop below wave 1’s low
- Wave 3 can never be the smallest wave
- Wave 4 can never drop into the range of wave 2 (unless it is part of a diagonal)
- With this in mind, we can now take a look at where Bitcoin is, from the larger wave count.
Bitcoin Market Cycle using Elliott Waves
- We can start counting the wave from $3.1k, when Bitcoin bottomed out around the end of 2018
- Based on this wave count, it could be said that the move up to $64k was the end of the 3rd impulse wave.
- We have recently completed the 4th corrective wave, and are on our way to complete the 5th impulse wave.
- As to why I have selected the $200k region and June 2022 as my price and time period target, please refer to my previous analysis below:
Conclusion
Bitcoin dominance is currently forming a double bottom on the weekly. With Bitcoin's wave count lining up for an impulse move upwards, I expect Bitcoin to rally upwards, outperforming other altcoins in the short-mid term. As Bitcoin paves way for the entire crypto market cap by breaking through all time high levels in Q4, we could see Bitcoin dominance reach resistance around the 60-70% range. At that point, given that the broader market cycle isn't over, it would be a good point adjust your portfolio, and scale profits from Bitcoin into altcoins for maximum returns.
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! :)
Trading Chaos By Bill Williams | Part 1Hello, everyone!
Today we gonna start the series of articles about the "Trading Chaos" by Bill Williams(BW) . He has the unusual theory abut how the markets play out. After this concept learning I am going to trade with his techniques and test this trading method. Please, subscribe and give us a like if you are interested in studying Trading Chaos. If you are familiar with this theory and used it in practice, please, write your opinion about it in the comment section.
Let's start!
In the first chapter BW explains why the most of traders are in the wrong side of the market.
There are a lot of strategies which use the linear method for the market price predicting, but the market is not a linear system, because it formed by the human behavior, which was born from chaos.
The fractal geometry approximates the chaos in our world and, in particular, on the market. The fractal is the element of chaos and we will study how to identify and use it on the market in the next chapters.
What you need to know now?
1.Classical technical analysis does not work because of the linear approach which it use.
2.Mechanical trading systems which provides the automatic trading does not work too with the same reason.
3.Market is the child of chaos and we need nonlinear methods, which we will consider in the next parts.
DISCLAMER: Information is provided only for educational purposes. Do your own study before taking any actions or decisions at the real market.
FCPO : How to maximize profit during trending market?How do normal intraday traders determine Target profit?
1. Using Win/Loss ratio?
2. Fix Certain points per day only.
Using this method usually limits our profit during a strong market trend.
Another way to maximize profit during market trending by rank is :
1. Wait until 15min have reversal CS.
2. Understand FCPO daily price range (Normal Trending: 120~140point; Sideway: 60~80points)
3. Fibo extension.
4. Gann level.
Analyst and Trader. What are the differences?
The main difference between an Analyst and a Trader is in their main goals.
For an analyst, the main goal is to determine the future price and write articles.
Most analysts give a double trend direction in their forecasts, as they worry about their incorrect forecast, and hedge in case of their mistake.
For a trader, the main goal is to MAKE a PROFIT when working in the market. At the same time, the direction of the trend is a secondary goal, since you can also make a profit by scalping when the trend does not matter much. Each trader has his approach to trading and his trading strategy. One trader opens a long position to earn money on the growth of quotations, but at the same time, another trader opens a short position on the same instrument to earn money when the price drops.
PROFIT is the main priority for the trader.
The analyst can show alternative options for the development of events, leaving the trader to make a responsible decision about actions in one or another option. At the same time, the Analyst does not risk anything - neither his money nor his reputation, since TWO OPPOSITE scenarios insure him from making a mistake.
As a rule, 65% of analysts do not trade themselves, but only write analytical articles and make forecasts.
A few facts about the analyst and trader:
Analyst:
- collects information and analyzes the market situation
- writes analytical articles
- makes forecasts (usually in two directions, for safety)
- probably trades/invests by himself according to his forecasts
Trader:
- determines the direction for a potential transaction
- performs risk calculation and installation of a protective order (stop loss)
- performs trading operations on the market to make a profit
- manages and accompanies the position from the beginning to the end
And who do you think you are? An analyst or a trader?
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Fourier: Interpreting and Over-interpreting Frequency AnalysisGreetings to all!
In this post, I'd like to share some thoughts on frequency analysis based on Fourier transform.
This mathematical method breaks down data into cyclical constituents (frequency components). Then the importance of each frequency component in the original data is expressed as the square of its amplitude, that is, power . Some time ago I published a Pine Script implementation of the Fast Fourier Transform (FFT) algorithm. I made it specially designed to be used for filtering data based on its frequency content. The concept of FFT filtering is well known and quite simple (for detail, see the link to my script below).
When it comes to frequency analysis , that's a whole different story. Using the power versus FFT frequency plot (i.e., the spectrum ) to study the data is an extremely popular analytical technique in science and technology. But with financial data, it is tougher than it sounds. When dealing with noisy, non-stationary and overall uncertain price data, the FFT never works as well as it does in math textbooks.
Here, to illustrate the capabilities, limitations, and some myths of frequency analysis, I generated artificial price data, applied an FFT to each price column, and plotted a power spectrum as a function of time (i.e. a spectrogram ). The spectrogram shows frequency information along the vertical axis. The lowest frequency content is displayed at the bottom, the highest frequency content is displayed at the top. Frequencies are given as the number of cycles per sample size (256 bars in the above chart). Power levels are defined by the color map shown to the right. As for the generated data, it is basically a random walk with a few non-random constituents added at given time intervals (sinusoidal functions and a gap).
Now let's discuss a few aspects seen in the chart:
1. True periodicity
Starting on a high note, if there is real oscillatory behavior in the data (see the green and red areas in the above chart), the FFT can reveal this quite well. The problem is that the frequency resolution is heavily influenced by the sample size. For example, with a sample size of 64 price bars, it is impossible to resolve cycles longer than, you guessed it, 64 bars. It should also be noted that the ideal deterministic sinusoidal functions shown in the above chart can never be found in real market data.
2. Discontinuities
If there is a gap, it's bad. Gaps, that is, discontinuities in the data, are prominent features that have broad and smooth frequency spectra that can overshadow other features. If you google "Fourier transform of a step function", you can see what I mean. Thus, if a gap occurs somewhere within the sample window, the Fourier spectrum is unlikely to be reliable.
3. Random walk
This is not surprising, but even purely random data can produce rich frequency content. It is even difficult to tell from the spectrogram where the purely-random area changes into the one containg a sinusoid. (Well, if we accept the random walk theory of markets, the last comment does not make much sense. But here we are talking about syncretic data).
The situation, however, becomes much more fun if we analyze the change in data per bar (i.e., data - data ), rather than the actual data. In the case of a random walk, these changes are purely ... well, random. And it is known from textbooks that the Fourier spectrum of random noise contains only noise. However, in areas containing sine, there is an order in the data. In other words, the data is autocorrelated. As a result, the FFT spectra of the data reveal the corresponding frequency components way above the noise level. In this sense, Fourier analysis may seem as a potential tool to to test market efficiency. (There is even a Fourier-based version of the Dickey-Fuller test for stationarity of time series, but that is a different story.) However, I am not aware if it can somehow outperform the more commonly used tests.
Conclusion
In the context of financial time series, the Fourier transform is often associated with the estimation of marked cycles. I think that's why it has become one of the most polarizing technical tools out there. While it is certainly a powerful math tool, it is helpful to know its limitations. Can one capitalize on the revealed qualitative information about the "cycle" periods? Regardless of how to think about the concept of market cycles, I don't think so. But could the Fourier transform be potentially useful in general for analyzing price data? Definitely yes!
See below for how to use FFT to filter data:
HOW-TO cope with Elliott Wave patterns that failIn this "How-To" help video, we take a look at How Elliott Wave patterns often fail half-way through.
If any of you have followed Elliott Wave analysis for any length of time, you will very likely have been frustrated when what looked like to be a perfect Elliott Wave pattern then failed and did not do what it should have done. This then makes analysis very difficult and frustrating.
Here at MTPredictor, one approach we take is to assume that Markets are random about 50% of the time, so this means that any Elliott Wave pattern always has the potential to fail at any point. It also means that half the time, there are no clear Elliott Wave patterns present on the Chart either. So we decided to accept this, but then to only work with the 50% of the time when the market pattern was clear. And then only look for particular setups, within that clear period.
Please take a look at the video, we were take a look at a recent example on the 15min NQ. And look for setups on the shorter time frame (3min in this example), when, "and only when" the larger degree (15min) picture was clear.
I hope this "How-To" video tutorial has been helpful and shown one approach, that we take here at MTPredictor, to help cope with the uncertainties of Elliott Wave Analysis and failing Elliott Wave patterns. Please understand that this is just the approach we take here at MTPredictor and have done for the last 20 years since MTPredictor was launched in 2001. So please feel free to disagree with our approach, we are just presenting here here as what we do and we understand that this is not the only approach and other people will always have different ideas or different ways of approaching this.
Please note: this is not a trade recommendation, you should all perform your own Analysis. Losses can and will unfold when Trading, please always use Stops and keep your losses small.
The nature of the movement of financial markets
1. Key levels breakout
Bulls/bears become strong enough to violate a key support/resistance and are willing to push to new lows/highs
The best opportunity for trade entries.
2. Trend continuation
Strong bearish/bullish trend following movement.
More and more trades join the rally after a breakout.
3. Consolidation & accumulation
Oversold/overbought condition of the market & local accumulation.
Market participants are waiting for a trigger to continue pushing.
The best opportunity to protect profits.
Black line - price action within the stages
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What is a moving average? How to use it?
The Moving Average (MA) is a simple technical analysis tool that smooths price data, creating a constantly updated average price. The average value is taken for a certain period, for example, 10 days, 20 minutes, 30 weeks, or any time chosen by the trader. There are advantages to using a moving average in your trading, as well as options for which type of moving average to use. Moving average strategies are also popular and can be adapted to any time interval, which is suitable for both long-term investors and short-term traders.
The Moving Average (MA) is a widely used technical indicator that smooths out price movements by filtering out "noise" from random short-term price fluctuations.
Moving averages can be constructed in several ways and use a different number of days for the averaging interval.
The most common applications of moving averages are determining the trend direction and determining support and resistance levels.
When asset prices cross their moving averages, this can generate a trading signal for technical traders.
Although moving averages are quite useful on their own, they also form the basis for other technical indicators, such as the moving average convergence divergence ( MACD ).
Why use a moving average
The moving average helps to reduce the amount of "noise" on the price chart. Look at the direction of the moving average to get a general idea of which way the price is moving. If it is tilted up, the price as a whole is moving up (or has been recent); tilted down, and the price as a whole is moving down; moves sideways, and the price is most likely in a range.
The moving average can also act as support or resistance . In an uptrend, a 50-day, 100-day, or 200-day moving average can act as a support level , as shown in the figure. This is because the average acts as a support, so the price bounces off it. In a downtrend, the moving average can act as resistance; like a ceiling, the price reaches a level and then begins to fall again.
✅ Let me know how do YOU use the MA, and what is your favorite indicator?✅