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List of 110+ Free Udemy & Popular Discounted : ETL & Data Integration Masterclass, HTML, JavaScript, & Bootstrap, Marketing Analytics, Microsoft Excel, Machine Learning, Android App Developer, React JS - A Complete Guide for Frontend Web Development, Python, Tableau, Instructional Design & Many More

ETL & Data Integration Masterclass, HTML, JavaScript, & Bootstrap, Marketing Analytics, Microsoft Excel, Machine Learning, Android App Developer, React JS - A Complete Guide for Frontend Web Development, Python, Tableau, Instructional Design & Many More
Source: Freebies Global - https://freebiesglobal.com/
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  10. [English] 3h 9m CSS & JavaScript - Certification Course for Beginners https://www.udemy.com/course/css-javascript-certification-course-for-beginners/?couponCode=YOUACCELOCT26 2 Days left at this price!
  11. [English] 6h 2m Ultimate AWS Certified Alexa Skill Builder Specialty 2020 https://www.udemy.com/course/ultimate-aws-certified-alexa-skill-builder-specialty/?couponCode=20F2F1085B9FE981B09C 2 Days left at this price!
  12. [English] 9h 13m Pentaho for ETL & Data Integration Masterclass 2020- PDI 9.0 https://www.udemy.com/course/pentaho-for-etl-data-integration-masterclass/?couponCode=OCTXXVI20 1 Day left at this price!
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  63. [Spanish] 1h 4m Microsoft Excel - Análisis de datos con tablas dinámicas https://www.udemy.com/course/microsoft-excel-analisis-de-datos-con-tablas-dinamicas/?couponCode=E132A1381313060EADBA 2 Days left at this price!
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Former investment bank FX trader: Risk management part II

Former investment bank FX trader: Risk management part II
Firstly, thanks for the overwhelming comments and feedback. Genuinely really appreciated. I am pleased 500+ of you find it useful.
If you didn't read the first post you can do so here: risk management part I. You'll need to do so in order to make sense of the topic.
As ever please comment/reply below with questions or feedback and I'll do my best to get back to you.
Part II
  • Letting stops breathe
  • When to change a stop
  • Entering and exiting winning positions
  • Risk:reward ratios
  • Risk-adjusted returns

Letting stops breathe

We talked earlier about giving a position enough room to breathe so it is not stopped out in day-to-day noise.
Let’s consider the chart below and imagine you had a trailing stop. It would be super painful to miss out on the wider move just because you left a stop that was too tight.

Imagine being long and stopped out on a meaningless retracement ... ouch!
One simple technique is simply to look at your chosen chart - let’s say daily bars. And then look at previous trends and use the measuring tool. Those generally look something like this and then you just click and drag to measure.
For example if we wanted to bet on a downtrend on the chart above we might look at the biggest retracement on the previous uptrend. That max drawdown was about 100 pips or just under 1%. So you’d want your stop to be able to withstand at least that.
If market conditions have changed - for example if CVIX has risen - and daily ranges are now higher you should incorporate that. If you know a big event is coming up you might think about that, too. The human brain is a remarkable tool and the power of the eye-ball method is not to be dismissed. This is how most discretionary traders do it.
There are also more analytical approaches.
Some look at the Average True Range (ATR). This attempts to capture the volatility of a pair, typically averaged over a number of sessions. It looks at three separate measures and takes the largest reading. Think of this as a moving average of how much a pair moves.
For example, below shows the daily move in EURUSD was around 60 pips before spiking to 140 pips in March. Conditions were clearly far more volatile in March. Accordingly, you would need to leave your stop further away in March and take a correspondingly smaller position size.

ATR is available on pretty much all charting systems
Professional traders tend to use standard deviation as a measure of volatility instead of ATR. There are advantages and disadvantages to both. Averages are useful but can be misleading when regimes switch (see above chart).
Once you have chosen a measure of volatility, stop distance can then be back-tested and optimised. For example does 2x ATR work best or 5x ATR for a given style and time horizon?
Discretionary traders may still eye-ball the ATR or standard deviation to get a feeling for how it has changed over time and what ‘normal’ feels like for a chosen study period - daily, weekly, monthly etc.

Reasons to change a stop

As a general rule you should be disciplined and not change your stops. Remember - losers average losers. This is really hard at first and we’re going to look at that in more detail later.
There are some good reasons to modify stops but they are rare.
One reason is if another risk management process demands you stop trading and close positions. We’ll look at this later. In that case just close out your positions at market and take the loss/gains as they are.
Another is event risk. If you have some big upcoming data like Non Farm Payrolls that you know can move the market +/- 150 pips and you have no edge going into the release then many traders will take off or scale down their positions. They’ll go back into the positions when the data is out and the market has quietened down after fifteen minutes or so. This is a matter of some debate - many traders consider it a coin toss and argue you win some and lose some and it all averages out.
Trailing stops can also be used to ‘lock in’ profits. We looked at those before. As the trade moves in your favour (say up if you are long) the stop loss ratchets with it. This means you may well end up ‘stopping out’ at a profit - as per the below example.

The mighty trailing stop loss order
It is perfectly reasonable to have your stop loss move in the direction of PNL. This is not exposing you to more risk than you originally were comfortable with. It is taking less and less risk as the trade moves in your favour. Trend-followers in particular love trailing stops.
One final question traders ask is what they should do if they get stopped out but still like the trade. Should they try the same trade again a day later for the same reasons? Nope. Look for a different trade rather than getting emotionally wed to the original idea.
Let’s say a particular stock looked cheap based on valuation metrics yesterday, you bought, it went down and you got stopped out. Well, it is going to look even better on those same metrics today. Maybe the market just doesn’t respect value at the moment and is driven by momentum. Wait it out.
Otherwise, why even have a stop in the first place?

Entering and exiting winning positions

Take profits are the opposite of stop losses. They are also resting orders, left with the broker, to automatically close your position if it reaches a certain price.
Imagine I’m long EURUSD at 1.1250. If it hits a previous high of 1.1400 (150 pips higher) I will leave a sell order to take profit and close the position.
The rookie mistake on take profits is to take profit too early. One should start from the assumption that you will win on no more than half of your trades. Therefore you will need to ensure that you win more on the ones that work than you lose on those that don’t.

Sad to say but incredibly common: retail traders often take profits way too early
This is going to be the exact opposite of what your emotions want you to do. We are going to look at that in the Psychology of Trading chapter.
Remember: let winners run. Just like stops you need to know in advance the level where you will close out at a profit. Then let the trade happen. Don’t override yourself and let emotions force you to take a small profit. A classic mistake to avoid.
The trader puts on a trade and it almost stops out before rebounding. As soon as it is slightly in the money they spook and cut out, instead of letting it run to their original take profit. Do not do this.

Entering positions with limit orders

That covers exiting a position but how about getting into one?
Take profits can also be left speculatively to enter a position. Sometimes referred to as “bids” (buy orders) or “offers” (sell orders). Imagine the price is 1.1250 and the recent low is 1.1205.
You might wish to leave a bid around 1.2010 to enter a long position, if the market reaches that price. This way you don’t need to sit at the computer and wait.
Again, typically traders will use tech analysis to identify attractive levels. Again - other traders will cluster with your orders. Just like the stop loss we need to bake that in.
So this time if we know everyone is going to buy around the recent low of 1.1205 we might leave the take profit bit a little bit above there at 1.1210 to ensure it gets done. Sure it costs 5 more pips but how mad would you be if the low was 1.1207 and then it rallied a hundred points and you didn’t have the trade on?!
There are two more methods that traders often use for entering a position.
Scaling in is one such technique. Let’s imagine that you think we are in a long-term bulltrend for AUDUSD but experiencing a brief retracement. You want to take a total position of 500,000 AUD and don’t have a strong view on the current price action.
You might therefore leave a series of five bids of 100,000. As the price moves lower each one gets hit. The nice thing about scaling in is it reduces pressure on you to pick the perfect level. Of course the risk is that not all your orders get hit before the price moves higher and you have to trade at-market.
Pyramiding is the second technique. Pyramiding is for take profits what a trailing stop loss is to regular stops. It is especially common for momentum traders.

Pyramiding into a position means buying more as it goes in your favour
Again let’s imagine we’re bullish AUDUSD and want to take a position of 500,000 AUD.
Here we add 100,000 when our first signal is reached. Then we add subsequent clips of 100,000 when the trade moves in our favour. We are waiting for confirmation that the move is correct.
Obviously this is quite nice as we humans love trading when it goes in our direction. However, the drawback is obvious: we haven’t had the full amount of risk on from the start of the trend.
You can see the attractions and drawbacks of both approaches. It is best to experiment and choose techniques that work for your own personal psychology as these will be the easiest for you to stick with and build a disciplined process around.

Risk:reward and win ratios

Be extremely skeptical of people who claim to win on 80% of trades. Most traders will win on roughly 50% of trades and lose on 50% of trades. This is why risk management is so important!
Once you start keeping a trading journal you’ll be able to see how the win/loss ratio looks for you. Until then, assume you’re typical and that every other trade will lose money.
If that is the case then you need to be sure you make more on the wins than you lose on the losses. You can see the effect of this below.

A combination of win % and risk:reward ratio determine if you are profitable
A typical rule of thumb is that a ratio of 1:3 works well for most traders.
That is, if you are prepared to risk 100 pips on your stop you should be setting a take profit at a level that would return you 300 pips.
One needn’t be religious about these numbers - 11 pips and 28 pips would be perfectly fine - but they are a guideline.
Again - you should still use technical analysis to find meaningful chart levels for both the stop and take profit. Don’t just blindly take your stop distance and do 3x the pips on the other side as your take profit. Use the ratio to set approximate targets and then look for a relevant resistance or support level in that kind of region.

Risk-adjusted returns

Not all returns are equal. Suppose you are examining the track record of two traders. Now, both have produced a return of 14% over the year. Not bad!
The first trader, however, made hundreds of small bets throughout the year and his cumulative PNL looked like the left image below.
The second trader made just one bet — he sold CADJPY at the start of the year — and his PNL looked like the right image below with lots of large drawdowns and volatility.
Would you rather have the first trading record or the second?
If you were investing money and betting on who would do well next year which would you choose? Of course all sensible people would choose the first trader. Yet if you look only at returns one cannot distinguish between the two. Both are up 14% at that point in time. This is where the Sharpe ratio helps .
A high Sharpe ratio indicates that a portfolio has better risk-adjusted performance. One cannot sensibly compare returns without considering the risk taken to earn that return.
If I can earn 80% of the return of another investor at only 50% of the risk then a rational investor should simply leverage me at 2x and enjoy 160% of the return at the same level of risk.
This is very important in the context of Execution Advisor algorithms (EAs) that are popular in the retail community. You must evaluate historic performance by its risk-adjusted return — not just the nominal return. Incidentally look at the Sharpe ratio of ones that have been live for a year or more ...
Otherwise an EA developer could produce two EAs: the first simply buys at 1000:1 leverage on January 1st ; and the second sells in the same manner. At the end of the year, one of them will be discarded and the other will look incredible. Its risk-adjusted return, however, would be abysmal and the odds of repeated success are similarly poor.

Sharpe ratio

The Sharpe ratio works like this:
  • It takes the average returns of your strategy;
  • It deducts from these the risk-free rate of return i.e. the rate anyone could have got by investing in US government bonds with very little risk;
  • It then divides this total return by its own volatility - the more smooth the return the higher and better the Sharpe, the more volatile the lower and worse the Sharpe.
For example, say the return last year was 15% with a volatility of 10% and US bonds are trading at 2%. That gives (15-2)/10 or a Sharpe ratio of 1.3. As a rule of thumb a Sharpe ratio of above 0.5 would be considered decent for a discretionary retail trader. Above 1 is excellent.
You don’t really need to know how to calculate Sharpe ratios. Good trading software will do this for you. It will either be available in the system by default or you can add a plug-in.

VAR

VAR is another useful measure to help with drawdowns. It stands for Value at Risk. Normally people will use 99% VAR (conservative) or 95% VAR (aggressive). Let’s say you’re long EURUSD and using 95% VAR. The system will look at the historic movement of EURUSD. It might spit out a number of -1.2%.

A 5% VAR of -1.2% tells you you should expect to lose 1.2% on 5% of days, whilst 95% of days should be better than that
This means it is expected that on 5 days out of 100 (hence the 95%) the portfolio will lose 1.2% or more. This can help you manage your capital by taking appropriately sized positions. Typically you would look at VAR across your portfolio of trades rather than trade by trade.
Sharpe ratios and VAR don’t give you the whole picture, though. Legendary fund manager, Howard Marks of Oaktree, notes that, while tools like VAR and Sharpe ratios are helpful and absolutely necessary, the best investors will also overlay their own judgment.
Investors can calculate risk metrics like VaR and Sharpe ratios (we use them at Oaktree; they’re the best tools we have), but they shouldn’t put too much faith in them. The bottom line for me is that risk management should be the responsibility of every participant in the investment process, applying experience, judgment and knowledge of the underlying investments.Howard Marks of Oaktree Capital
What he’s saying is don’t misplace your common sense. Do use these tools as they are helpful. However, you cannot fully rely on them. Both assume a normal distribution of returns. Whereas in real life you get “black swans” - events that should supposedly happen only once every thousand years but which actually seem to happen fairly often.
These outlier events are often referred to as “tail risk”. Don’t make the mistake of saying “well, the model said…” - overlay what the model is telling you with your own common sense and good judgment.

Coming up in part III

Available here
Squeezes and other risks
Market positioning
Bet correlation
Crap trades, timeouts and monthly limits

***
Disclaimer:This content is not investment advice and you should not place any reliance on it. The views expressed are the author's own and should not be attributed to any other person, including their employer.
submitted by getmrmarket to Forex [link] [comments]

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Theta gang ain't shit.

Now's a good time for to get a lesson in the greeks you fucking retards. This document outlines the relative risks and rewards of certain trading strategies and how to manage risks along with some basic math and econ. This should be basic for most of you.
Why do stocks go up?
Because capital growth has a diminishing returns to scale. In the long run capital is used to create more capital generating growth until it balances with capital depreciation which is linear. You can increase the equilibrium capital accumulation by increasing savings rates essentially trading off short run consumption for long run consumption. The implications of this are that less capital intensive economies grow at faster rates than developed because developed economies are very close to hitting the equilibrium point and have to rely on technological advancements for long run growth. Not every economy is equal though, all have differences in economic institutions, government effectiveness and political norms which will also affect their long run effectiveness. Long story short if the government engages in ineffective policies like protectionism, price manipulation, overly burdensome regulations, underregulation, or inefficient redistribution programs the short run micro/macro picture will be hurt and reflected in the long run picture. The US has had a thriving stock market despite having relatively low growth because it has taken the first mover advantage in many industries. Global Tech, higher education, finance, and pharma are all centered in the US because the US policies have made doing business in the US the optimal choice for these industries. For as long as the US is a capitalist nation you can be sure that the stock market will go up in the long run. This is not necessarily the case for commodities or forex as higher growth has typically led to investments in productive efficiency outweighing increased demand in raw materials and exchange rates do not have a long run trend. Fundamentally, the stock market is a good place to invest savings into in the long run.
Stocks and exponential returns.
Stocks go up so you want to capture the value of price increases. Stocks have a delta of one and a gamma of zero resulting in a linear return to movement of the stock price. Long run capital accumulation, although diminishing, is still exponential and in the long run will return an exponentially increasing return to investment on stock. Linear gains * exponential increase in underlying = exponential gains. But what if things go down? In the short run stocks decrease in value at exponential rates which is absolutely fantastic for investors because exponential declines are diminishing in scale. 10% of 100 is 10, 10% of 90 is 9, 10% of 81 is less and so on and so forth. You may get linear returns from movement but you receive increasing returns to scale gains on the upside and decreasing returns to scale losses on the downside.
Delta and Gamma
Long options have even better fundamentals than stocks because they amplify the exponentiality through gamma. As an option moves into the money its delta increases creating exponential gains in value. As an option moves out of the money delta decreases, lowering losses. Thus options while having more risk per dollar than stocks have far superior risk returns in the short run.
Theta and Vega
The opposite is true of selling a call and you're put into the position of wanting to sell when times are most dire and hold when times are good. In exchange you get benefit from theta decay but if you can reasonably predict the movement of the market that's pretty much nothing compared to the gains from delta you could get investing the same amount of money into long calls. Selling also requires way more money further reducing its risk to return. But what about vega? When markets crash, volatility skyrockets. Long calls gain and the opposite is true once again for selling them.
Mathematically, buying longs has the best return on risk of any option strategy but higher absolute losses when delta doesn't move in your favor. Selling longs or spreads has a way worse return to risk but you'll lose less money when delta moves against you and it's harder for any one position to lose all of its value.
Theta gang isn't more profitable than bullgang, it's less risky per dollar spent. The reason market makers don't play like WSB retards is because they play on margin and the 20-30% losses we typically take and make back buying longs would cause their investors to flee bankrupting them.
Strategy implications
Longs
Selling naked longs
Credit spreads
Debit spreads
Edit: For what to do with your cash position, you could put it into gold, bonds, bond etfs, non spy correlated stocks or whatever. Low risk theta gang strats are fine in bull markets but don't expect to make real money from them. I'm cash since volatility is high, u do u.
submitted by XXX_KimJongUn_XXX to wallstreetbets [link] [comments]

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When will we bottom out?

PART 2 : https://www.reddit.com/wallstreetbets/comments/g0sd44/what_is_the_bottom/
PART 3: https://www.reddit.com/wallstreetbets/comments/g2enz2/why_the_printer_must_continue/
Edit: By popular demand, the too long didn't read is now at the top
TL;DR
SPY 220p 11/20
This will likely be a multi-part series. It should be noted that I am no expert by any means, I'm actually quite new to this, it is just an elementary analysis of patterns in price and time. I am not a financial advisor, and this is not advice for a person to enter trades upon.
The fundamental divide in trading revolves around the question of market structure. Many feel that the market operates totally randomly and its’ behavior cannot be predicted. For the purposes of this DD, we will assume that the market has a structure, but that that structure is not perfect. That market structure naturally generates chart patterns as the market records prices in time. We will analyze an instrument, an exchange traded fund, which represents an index, as opposed to a particular stock. The price patterns of the various stocks in an index are effectively smoothed out. In doing so, a more technical picture arises. Perhaps the most popular of these is the SPDR S&P Standard and Poor 500 Exchange Traded Fund ($SPY).
In trading, little to no concern is given about value of underlying asset. We concerned primarily about liquidity and trading ranges, which are the amount of value fluctuating on a short-term basis, as measured by volatility-implied trading ranges. Fundamental analysis plays a role, however markets often do not react to real-world factors in a logical fashion. Therefore, fundamental analysis is more appropriate for long-term investing.
The fundamental derivatives of a chart are time (x-axis) and price (y-axis). The primary technical indicator is price, as everything else is lagging in the past. Price represents current asking price and incorrectly implementing positions based on price is one of the biggest trading errors.
Markets ordinarily have noise, their tendency to back-and-fill, which must be filtered out for true pattern recognition. That noise does have a utility, however, in allowing traders second chances to enter favorable positions at slightly less favorable entry points. When you have any market with enough liquidity for historical data to record a pattern, then a structure can be divined. The market probes prices as part of an ongoing price-discovery process. Market technicians must sometimes look outside of the technical realm and use visual inspection to ascertain the relevance of certain patterns, using a qualitative eye that recognizes the underlying quantitative nature
Markets rise slower than they correct, however they rise much more than they fall. In the same vein, instruments can only fall to having no worth, whereas they could theoretically grow infinitely and have continued to grow over time. Money in a fiat system is illusory. It is a fundamentally synthetic instrument which has no intrinsic value. Hence, the recent seemingly illogical fluctuations in the market.
According to trade theory, the unending purpose of a market is to create and break price ranges according to the laws of supply and demand. We must determine when to trade based on each market inflection point as defined in price and in time as opposed to abandoning the trend (as the contrarian trading in this sub often does). Time and Price symmetry must be used to be in accordance with the trend. When coupled with a favorable risk to reward ratio, the ability to stay in the market for most of the defined time period, and adherence to risk management rules; the trader has a solid methodology for achieving considerable gains.
We will engage in a longer term market-oriented analysis to avoid any time-focused pressure. The market is technically open 24-hours a day, so trading may be done when the individual is ready, without any pressing need to be constantly alert. Let alone, we can safely project months in advance with relatively high accuracy.
Some important terms to keep in mind:
§ Discrete – terminal points at the extremes of ranges
§ Secondary Discrete – quantified retracement or correction between two discrete
§ Longs (asset appreciation) and shorts (asset depreciation)
- Technical indicators are often considered self-fulfilling prophecies due to mass-market psychology gravitating towards certain common numbers yielded from them. That means a trader must be especially aware of these numbers as they can prognosticate market movements. Often, they are meaningless in the larger picture of things.
§ Volume – derived from the market itself, it is mostly irrelevant. The major problem with volume is that the US market open causes tremendous volume surges eradicating any intrinsic volume analysis. At major highs and lows, the market is typically anemic. Most traders are not active at terminal discretes because of levels of fear. Allows us confidence in time and price symmetry market inflection points, if we observe low volume at a foretold range of values. We can rationalize that an absolute discrete is usually only discovered and anticipated by very few traders. As the general market realizes it, a herd mentality will push the market in the direction favorable to defending it. Volume is also useful for swing trading, as chances for swing’s validity increases if an increase in volume is seen on and after the swing’s activation.
Therefore, due to the relatively high volume on the 23rd of March, we can safely determine that a low WAS NOT reached.
§ VIX – Volatility Index, this technical indicator indicates level of fear by the amount of options-based “insurance” in portfolios. A low VIX environment, less than 20 for the S&P index, indicates a stable market with a possible uptrend. A high VIX, over 20, indicates a possible downtrend. However, it is equally important to see how VIX is changing over time, if it is decreasing or increasing, as that indicates increasing or decreasing fear. Low volatility allows high leverage without risk or rest. Occasionally, markets do rise with high VIX.
As VIX is unusually high, in the forties, we can be confident that a downtrend is imminent.
– Trend definition is highly powerful, cannot be understated. Knowledge of trend logic is enough to be a profitable trader, yet defining a trend is an arduous process. Multiple trends coexist across multiple time frames and across multiple market sectors. Like time structure, it makes the underlying price of the instrument irrelevant. Trend definitions cannot determine the validity of newly formed discretes. Trend becomes apparent when trades based in counter-trend inflection points continue to fail.
Downtrends are defined as an instrument making lower lows and lower highs that are recurrent, additive, qualified swing setups. Downtrends for all instruments are similar, except forex. They are fast and complete much quicker than uptrends. An average downtrend is 18 months, something which we will return to. An uptrend inception occurs when an instrument reaches a point where it fails to make a new low, then that low will be tested. After that, the instrument will either have a deep range retracement or it may take out the low slightly, resulting in a double-bottom. A swing must eventually form.
A simple way to roughly determine trend is to attempt to draw a line from three tops going upwards (uptrend) or a line from three bottoms going downwards (downtrend). It is not possible to correctly draw an uptrend line on the SPY chart, but it is possible to correctly draw a downtrend – indicating that the overall trend is downwards.
Now that we have determined that the overall trend is downwards, the next issue is the question of when SPY will bottom out.
Time is the movement from the past through the present into the future. It is a measurement in quantified intervals. In many ways, our perception of it is a human construct. It is more powerful than price as time may be utilized for a trade regardless of the market inflection point’s price. Were it possible to perfectly understand time, price would be totally irrelevant due to the predictive certainty time affords. Time structure is easier to learn than price, but much more difficult to apply with any accuracy. It is the hardest aspect of trading to learn, but also the most rewarding.
Humans do not have the ability to recognize every time window, however the ability to define market inflection points in terms of time is the single most powerful trading edge. Regardless, price should not be abandoned for time alone. Time structure analysis It is inherently flawed, as such the markets have a fail-safe, which is Price Structure. Even though Time is much more powerful, Price Structure should never be completely ignored. Time is the qualifier for Price and vice versa. Time can fail by tricking traders into counter-trend trading.
Time is a predestined trade quantifier, a filter to slow trades down, as it allows a trader to specifically focus on specific time windows and rest at others. It allows for quantitative measurements to reach deterministic values and is the primary qualifier for trends. Time structure should be utilized before price structure, and it is the primary trade criterion which requires support from price. We can see price structure on a chart, as areas of mathematical support or resistance, but we cannot see time structure.
Time may be used to tell us an exact point in the future where the market will inflect, after Price Theory has been fulfilled. In the present, price objectives based on price theory added to possible future times for market inflection points give us the exact time of market inflection points and price.
Time Structure is repetitions of time or inherent cycles of time, occurring in a methodical way to provide time windows which may be utilized for inflection points. They are not easily recognized and not easily defined by a price chart as measuring and observing time is very exact. Time structure is not a science, yet it does require precise measurements. Nothing is certain or definite. The critical question must be if a particular approach to time structure is currently lucrative or not.
We will complete our analysis of time by measuring it in intervals of 180 bars. Our goal is to determine time windows, when the market will react and when we should pay the most attention. By using time repetitions, the fact that market inflection points occurred at some point in the past and should, therefore, reoccur at some point in the future, we should obtain confidence as to when SPY will reach a market inflection point. Time repetitions are essentially the market’s memory. However, simply measuring the time between two points then trying to extrapolate into the future does not work. Measuring time is not the same as defining time repetitions. We will evaluate past sessions for market inflection points, whether discretes, qualified swings, or intra-range. Then records the times that the market has made highs or lows in a comparable time period to the future one seeks to trade in.
What follows is a time Histogram – A grouping of times which appear close together, then segregated based on that closeness. Time is aligned into combined histogram of repetitions and cycles, however cycles are irrelevant on a daily basis. If trading on an hourly basis, do not use hours.
Yearly Lows: 12/31/2000, 9/21/2001, 10/9/2002, 3/11/2003, 8/2/2004, 4/15/2005, 6/12/2006, 3/5/2007, 11/17/2008, 3/9/2009, 7/2/10, 10/3/11, 1/1/12, 1/1/13, 2/3/14, 9/28/15, 2/8/16, 1/3/17, 12/24/18, 6/3/19
Months: 1, 1, 1, 2, 2, 3, 3, 3, 4, 6, 6, 7, 8, 9, 9, 10, 10, 11, 12, 12
Days: 1, 1, 2, 2, 3, 3, 3, 3, 5, 8, 9, 9, 11, 12, 15, 17, 21, 24, 28, 31
Monthly Lows: 3/23, 2/28, 1/27, 12/3, 11/1, 10/2, 9/3, 8/5, 7/1, 6/3, 5/31, 4/1
Days: 1, 1, 1, 2, 3, 3, 3, 5, 23, 27, 27, 31
Weighted Times are repetitions which appears multiple times within the same list, observed and accentuated once divided into relevant sections of the histogram. They are important in the presently defined trading time period and are similar to a mathematical mode with respect to a series. Phased times are essentially periodical patterns in histograms, though they do not guarantee inflection points*.*
We see that SPY tends to have its lows between three major month clusters: 1-4, primarily March (which has actually occurred already this year), 6-9, averaged out to July, and 10-12, averaged out to November. Following the same methodology, we get the third and tenth days of the month as the likeliest days. However, evaluating the monthly lows for the past year, the end of the month has replaced the average of the tenth. Therefore, we have four primary dates for our histogram.
7/3/20, 7/27/20, and 11/3/20, 11/27/20 .
How do we narrow this group down with any accuracy? Let us average the days together to work with two dates - 7/15/20 and 11/15/20.
The 8.6-Year Armstrong-Princeton Global Economic Confidence model – states that 2.15 year intervals occur between corrections, relevant highs and lows. 2.15 years from the all-time peak discrete is April 14th of 2022. However, we can time-shift to other peaks and troughs to determine a date for this year. If we consider 1/28/2018 as a localized high and apply this model, we get 3/23/20 as a low - strikingly accurate. I have chosen the next localized high, 9/21/2018 to apply the model to. We achieve a date of 11/14/2020.
The average bear market is eighteen months long, giving us a date of August 19th, 2021 for the end of the bear market - roughly speaking.
Therefore, our timeline looks like:
As we move forward in time, our predictions may be less accurate. It is important to keep in mind that this analysis will likely change and become more accurate as we factor in Terry Laundry’s T-Theory, the Bradley Cycle, a more sophisticated analysis of Bull and Bear Market Cycles, the Fundamental Investor Cyclic Approach, and Seasons and Half-Seasons.
I have also assumed that the audience believes in these models, which is not necessary. Anyone with free time may construct histograms and view these time models, determining for themselves what is accurate and what is not. Take a look at 1/28/2008, that localized high, and 2.15 years (1/4th of the sinusoidal wave of the model) later.
The question now is, what prices will SPY reach on 11/14? Where will we be at 7/28? What will happen on 4/14/22?
submitted by aibnsamin1 to wallstreetbets [link] [comments]

Can I trade stocks in my home country while I am travelling ?

Im a stock trader and I live in Turkey (Im a citizen). I use a brokerage firm in Turkey to trade in the Turkish stock market. We don't have capital gains tax on stocks, which is a really nice thing I would like to keep enjoying. (I think also applies to Turkish citizens living abroad)
After(?) corona virus I would like to travel, especially around Europe and USA but open to SEA, Far East Asia and New Zealand (i hate bugs so absolutely no Australia).
(I know I should talk to an accountant/lawyer, I will eventually)
1)Can I trade stocks through my brokerage firm while travelling with tourist visa? If yes, will the countries I travel tax me?
2)Can I trade in foreign markets (both countries I travel and not) through a foreign brokerage firm while travelling with a tourist visa? If yes, would I get taxed from brokerage firms country, my home country Turkey or my vacation country?
3)Can I trade forex? Same questions.
Also 4)Same tax questions but with a seasonal jobs visa?
submitted by Marxs_Beard to digitalnomad [link] [comments]

I've been thinking a lot about my own trading and have come to some harsh conclusions. It's time we discuss some hard truths about technical analysis, mechanical trading, and psychology I think many of us don't want to accept.

I've had a rough week and it sounds like I'm not the only one. This week has wiped out my gains since July 1st, and I'm finding myself ever-so-slightly in the hole this month so far. I've made money every other month I've traded, so I'm not writing myself off as a failure, but nevertheless, I've done some digging to try and figure out what I'm struggling with. I hope the following observations about my own trading resonate with some of you and can help us all become better traders.
First off: Fundamental/technical analysis. Since I started with forex a few years ago, I've put 100% of my time and effort into studying technicals. I think many traders, myself included, are drawn to technical analysis because we fall into the trap of thinking "If I just figure out what combination of indicators/chart patterns/algorithms work for me, trading will be smooth sailing." Being able to take a formulaic approach is incredibly appealing because it's much easier to simply check off a list of criteria than it is to interpret more nuanced information. For me, I found success drawing supply and demand zones, using Bollinger Bands to visualize market structure, and confirming reversal patterns with stochastics to trade from one zone to the next. I even studied the math behind those indicators to make sure I fully understood how they worked so I could identify their limitations, and for the most part, the strategy made money. Nevertheless, if I had a dollar for every time I take what I think is a perfect setup, then the market takes me on a wacky-ass ride of unexpected "crazy bullshit" that stops me out, I wouldn't be trading for a living. After some introspection, my conclusion is that those moments are not "crazy bullshit", but rather are the results of factors that fall outside of the (actually very narrow) scope of technical analysis. This has been hard to accept, as I previously learned technical analysis was perfectly viable as a sole perspective. I was taught that the market can be predicted based on analyzing past behavior. It seems obvious now, but when I think about it, no combination of chart patterns or indicators can predict next week's unemployment figures, interest rates, or what announcements (or blunders) world leaders are going to make on the global stage. Technicals work, but they only work when the market is reacting to fundamental factors, and as soon as a new fundamental change comes along, every bit of technical analysis used until that point becomes obsolete. What I'm trying to say is, at the very least, I need to be able to understand when, why, and how the game is going to change if my technicals are going to serve me. As such, I need to stop shirking fundamental analysis. It's time I start paying attention to that economic calendar and put in the effort to learn what each event means and how to interpret the results to figure out how the market will react. It's simply not as easy as looking at the technicals. It should be obvious that there's no magic formula to trading, but many of us try hard to avoid coming to terms with the fact that there's a lot more to "analysis" than just price action, risk management, and indicators.
The problem is we as traders want trading to be easy. It's a career that society glorifies, and even if we tell ourselves we know it's not a get-rich-quick scheme, we still want to "figure it out" so we can spend a few hours a week scribbling on our charts and making simple black and white decisions while we kick back and "live comfortably". And so we try to trick ourselves into thinking it is easy by endlessly parroting mantras like "Risk management is all that matters" and "Trading is 100% psychology" and "All you need to do is find the strategy that works for you and stick to it." The first two are certainly pieces of the puzzle, but there's so much more to the big picture.
The last mantra isn't even remotely true, and brings me to my second point, which thankfully is something I figured out early in my career, but it's too related to the previous topic to not mention: Mechanical strategies. The sentiment that you need to clearly define a precise, detailed strategy and always stick to it is another lie to make trading seem simpler than it really is. Even when I was just starting to demo trade, I was finding trades that would tick all the boxes outlined by my strategy, but my gut would hesitate. Long after I identified that problem, I also began to notice that I'd be forcing myself to hold onto trades, even if they were not moving as fast or far as I initially thought they would. Once I decided to leave room for my own instinct and discretion, I became much more successful. It's important to understand your strategy is a set of rules you yourself made up. If your strategy does not line up with your own professional opinion of the situation based on your personal experiences and observations, you need to find out why. Yes, you absolutely should draw on your past experiences and be consistent in how you examine the market, how much you risk, and what tools you use, but give yourself enough credit to form your own opinions. The market is not consistent. Do not expect to succeed by applying one cookie-cutter set of rules to different currencies, at different times, during different events. Long-term success in any other line of work is dependent on critical thinking and the ability to adapt to an ever-changing world, and forex is no different. It's not simple, it's not easy, and you will have to make difficult decisions.
This wound up being longer than I anticipated, so thanks for reading. I'm eager to hear everyone's thoughts on these topics, so please share them.
submitted by TheFOREXplorer to Forex [link] [comments]

Where is Bitcoin Going and When?

Where is Bitcoin Going and When?

The Federal Reserve and the United States government are pumping extreme amounts of money into the economy, already totaling over $484 billion. They are doing so because it already had a goal to inflate the United States Dollar (USD) so that the market can continue to all-time highs. It has always had this goal. They do not care how much inflation goes up by now as we are going into a depression with the potential to totally crash the US economy forever. They believe the only way to save the market from going to zero or negative values is to inflate it so much that it cannot possibly crash that low. Even if the market does not dip that low, inflation serves the interest of powerful people.
The impending crash of the stock market has ramifications for Bitcoin, as, though there is no direct ongoing-correlation between the two, major movements in traditional markets will necessarily affect Bitcoin. According to the Blockchain Center’s Cryptocurrency Correlation Tool, Bitcoin is not correlated with the stock market. However, when major market movements occur, they send ripples throughout the financial ecosystem which necessary affect even ordinarily uncorrelated assets.
Therefore, Bitcoin will reach X price on X date after crashing to a price of X by X date.

Stock Market Crash

The Federal Reserve has caused some serious consternation with their release of ridiculous amounts of money in an attempt to buoy the economy. At face value, it does not seem to have any rationale or logic behind it other than keeping the economy afloat long enough for individuals to profit financially and politically. However, there is an underlying basis to what is going on which is important to understand in order to profit financially.
All markets are functionally price probing systems. They constantly undergo a price-discovery process. In a fiat system, money is an illusory and a fundamentally synthetic instrument with no intrinsic value – similar to Bitcoin. The primary difference between Bitcoin is the underlying technology which provides a slew of benefits that fiat does not. Fiat, however, has an advantage in being able to have the support of powerful nation-states which can use their might to insure the currency’s prosperity.
Traditional stock markets are composed of indices (pl. of index). Indices are non-trading market instruments which are essentially summaries of business values which comprise them. They are continuously recalculated throughout a trading day, and sometimes reflected through tradable instruments such as Exchange Traded Funds or Futures. Indices are weighted by market capitalizations of various businesses.
Price theory essentially states that when a market fails to take out a new low in a given range, it will have an objective to take out the high. When a market fails to take out a new high, it has an objective to make a new low. This is why price-time charts go up and down, as it does this on a second-by-second, minute-by-minute, day-by-day, and even century-by-century basis. Therefore, market indices will always return to some type of bull market as, once a true low is formed, the market will have a price objective to take out a new high outside of its’ given range – which is an all-time high. Instruments can only functionally fall to zero, whereas they can grow infinitely.
So, why inflate the economy so much?
Deflation is disastrous for central banks and markets as it raises the possibility of producing an overall price objective of zero or negative values. Therefore, under a fractional reserve system with a fiat currency managed by a central bank – the goal of the central bank is to depreciate the currency. The dollar is manipulated constantly with the intention of depreciating its’ value.
Central banks have a goal of continued inflated fiat values. They tend to ordinarily contain it at less than ten percent (10%) per annum in order for the psyche of the general populace to slowly adjust price increases. As such, the markets are divorced from any other logic. Economic policy is the maintenance of human egos, not catering to fundamental analysis. Gross Domestic Product (GDP) growth is well-known not to be a measure of actual growth or output. It is a measure of increase in dollars processed. Banks seek to produce raising numbers which make society feel like it is growing economically, making people optimistic. To do so, the currency is inflated, though inflation itself does not actually increase growth. When society is optimistic, it spends and engages in business – resulting in actual growth. It also encourages people to take on credit and debts, creating more fictional fiat.
Inflation is necessary for markets to continue to reach new heights, generating positive emotional responses from the populace, encouraging spending, encouraging debt intake, further inflating the currency, and increasing the sale of government bonds. The fiat system only survives by generating more imaginary money on a regular basis.
Bitcoin investors may profit from this by realizing that stock investors as a whole always stand to profit from the market so long as it is managed by a central bank and does not collapse entirely. If those elements are filled, it has an unending price objective to raise to new heights. It also allows us to realize that this response indicates that the higher-ups believe that the economy could crash in entirety, and it may be wise for investors to have multiple well-thought-out exit strategies.

Economic Analysis of Bitcoin

The reason why the Fed is so aggressively inflating the economy is due to fears that it will collapse forever or never rebound. As such, coupled with a global depression, a huge demand will appear for a reserve currency which is fundamentally different than the previous system. Bitcoin, though a currency or asset, is also a market. It also undergoes a constant price-probing process. Unlike traditional markets, Bitcoin has the exact opposite goal. Bitcoin seeks to appreciate in value and not depreciate. This has a quite different affect in that Bitcoin could potentially become worthless and have a price objective of zero.
Bitcoin was created in 2008 by a now famous mysterious figure known as Satoshi Nakamoto and its’ open source code was released in 2009. It was the first decentralized cryptocurrency to utilize a novel protocol known as the blockchain. Up to one megabyte of data may be sent with each transaction. It is decentralized, anonymous, transparent, easy to set-up, and provides myriad other benefits. Bitcoin is not backed up by anything other than its’ own technology.
Bitcoin is can never be expected to collapse as a framework, even were it to become worthless. The stock market has the potential to collapse in entirety, whereas, as long as the internet exists, Bitcoin will be a functional system with a self-authenticating framework. That capacity to persist regardless of the actual price of Bitcoin and the deflationary nature of Bitcoin means that it has something which fiat does not – inherent value.
Bitcoin is based on a distributed database known as the “blockchain.” Blockchains are essentially decentralized virtual ledger books, replete with pages known as “blocks.” Each page in a ledger is composed of paragraph entries, which are the actual transactions in the block.
Blockchains store information in the form of numerical transactions, which are just numbers. We can consider these numbers digital assets, such as Bitcoin. The data in a blockchain is immutable and recorded only by consensus-based algorithms. Bitcoin is cryptographic and all transactions are direct, without intermediary, peer-to-peer.
Bitcoin does not require trust in a central bank. It requires trust on the technology behind it, which is open-source and may be evaluated by anyone at any time. Furthermore, it is impossible to manipulate as doing so would require all of the nodes in the network to be hacked at once – unlike the stock market which is manipulated by the government and “Market Makers”. Bitcoin is also private in that, though the ledge is openly distributed, it is encrypted. Bitcoin’s blockchain has one of the greatest redundancy and information disaster recovery systems ever developed.
Bitcoin has a distributed governance model in that it is controlled by its’ users. There is no need to trust a payment processor or bank, or even to pay fees to such entities. There are also no third-party fees for transaction processing. As the ledge is immutable and transparent it is never possible to change it – the data on the blockchain is permanent. The system is not easily susceptible to attacks as it is widely distributed. Furthermore, as users of Bitcoin have their private keys assigned to their transactions, they are virtually impossible to fake. No lengthy verification, reconciliation, nor clearing process exists with Bitcoin.
Bitcoin is based on a proof-of-work algorithm. Every transaction on the network has an associated mathetical “puzzle”. Computers known as miners compete to solve the complex cryptographic hash algorithm that comprises that puzzle. The solution is proof that the miner engaged in sufficient work. The puzzle is known as a nonce, a number used only once. There is only one major nonce at a time and it issues 12.5 Bitcoin. Once it is solved, the fact that the nonce has been solved is made public.
A block is mined on average of once every ten minutes. However, the blockchain checks every 2,016,000 minutes (approximately four years) if 201,600 blocks were mined. If it was faster, it increases difficulty by half, thereby deflating Bitcoin. If it was slower, it decreases, thereby inflating Bitcoin. It will continue to do this until zero Bitcoin are issued, projected at the year 2140. On the twelfth of May, 2020, the blockchain will halve the amount of Bitcoin issued when each nonce is guessed. When Bitcoin was first created, fifty were issued per block as a reward to miners. 6.25 BTC will be issued from that point on once each nonce is solved.
Unlike fiat, Bitcoin is a deflationary currency. As BTC becomes scarcer, demand for it will increase, also raising the price. In this, BTC is similar to gold. It is predictable in its’ output, unlike the USD, as it is based on a programmed supply. We can predict BTC’s deflation and inflation almost exactly, if not exactly. Only 21 million BTC will ever be produced, unless the entire network concedes to change the protocol – which is highly unlikely.
Some of the drawbacks to BTC include congestion. At peak congestion, it may take an entire day to process a Bitcoin transaction as only three to five transactions may be processed per second. Receiving priority on a payment may cost up to the equivalent of twenty dollars ($20). Bitcoin mining consumes enough energy in one day to power a single-family home for an entire week.

Trading or Investing?

The fundamental divide in trading revolves around the question of market structure. Many feel that the market operates totally randomly and its’ behavior cannot be predicted. For the purposes of this article, we will assume that the market has a structure, but that that structure is not perfect. That market structure naturally generates chart patterns as the market records prices in time. In order to determine when the stock market will crash, causing a major decline in BTC price, we will analyze an instrument, an exchange traded fund, which represents an index, as opposed to a particular stock. The price patterns of the various stocks in an index are effectively smoothed out. In doing so, a more technical picture arises. Perhaps the most popular of these is the SPDR S&P Standard and Poor 500 Exchange Traded Fund ($SPY).
In trading, little to no concern is given about value of underlying asset. We are concerned primarily about liquidity and trading ranges, which are the amount of value fluctuating on a short-term basis, as measured by volatility-implied trading ranges. Fundamental analysis plays a role, however markets often do not react to real-world factors in a logical fashion. Therefore, fundamental analysis is more appropriate for long-term investing.
The fundamental derivatives of a chart are time (x-axis) and price (y-axis). The primary technical indicator is price, as everything else is lagging in the past. Price represents current asking price and incorrectly implementing positions based on price is one of the biggest trading errors.
Markets and currencies ordinarily have noise, their tendency to back-and-fill, which must be filtered out for true pattern recognition. That noise does have a utility, however, in allowing traders second chances to enter favorable positions at slightly less favorable entry points. When you have any market with enough liquidity for historical data to record a pattern, then a structure can be divined. The market probes prices as part of an ongoing price-discovery process. Market technicians must sometimes look outside of the technical realm and use visual inspection to ascertain the relevance of certain patterns, using a qualitative eye that recognizes the underlying quantitative nature
Markets and instruments rise slower than they correct, however they rise much more than they fall. In the same vein, instruments can only fall to having no worth, whereas they could theoretically grow infinitely and have continued to grow over time. Money in a fiat system is illusory. It is a fundamentally synthetic instrument which has no intrinsic value. Hence, the recent seemingly illogical fluctuations in the market.
According to trade theory, the unending purpose of a market or instrument is to create and break price ranges according to the laws of supply and demand. We must determine when to trade based on each market inflection point as defined in price and in time as opposed to abandoning the trend (as the contrarian trading in this sub often does). Time and Price symmetry must be used to be in accordance with the trend. When coupled with a favorable risk to reward ratio, the ability to stay in the market for most of the defined time period, and adherence to risk management rules; the trader has a solid methodology for achieving considerable gains.
We will engage in a longer term market-oriented analysis to avoid any time-focused pressure. The Bitcoin market is open twenty-four-hours a day, so trading may be done when the individual is ready, without any pressing need to be constantly alert. Let alone, we can safely project months in advance with relatively high accuracy. Bitcoin is an asset which an individual can both trade and invest, however this article will be focused on trading due to the wide volatility in BTC prices over the short-term.

Technical Indicator Analysis of Bitcoin

Technical indicators are often considered self-fulfilling prophecies due to mass-market psychology gravitating towards certain common numbers yielded from them. They are also often discounted when it comes to BTC. That means a trader must be especially aware of these numbers as they can prognosticate market movements. Often, they are meaningless in the larger picture of things.
  • Volume – derived from the market itself, it is mostly irrelevant. The major problem with volume for stocks is that the US market open causes tremendous volume surges eradicating any intrinsic volume analysis. This does not occur with BTC, as it is open twenty-four-seven. At major highs and lows, the market is typically anemic. Most traders are not active at terminal discretes (peaks and troughs) because of levels of fear. Volume allows us confidence in time and price symmetry market inflection points, if we observe low volume at a foretold range of values. We can rationalize that an absolute discrete is usually only discovered and anticipated by very few traders. As the general market realizes it, a herd mentality will push the market in the direction favorable to defending it. Volume is also useful for swing trading, as chances for swing’s validity increases if an increase in volume is seen on and after the swing’s activation. Volume is steadily decreasing. Lows and highs are reached when volume is lower.
Therefore, due to the relatively high volume on the 12th of March, we can safely determine that a low for BTC was not reached.
  • VIX – Volatility Index, this technical indicator indicates level of fear by the amount of options-based “insurance” in portfolios. A low VIX environment, less than 20 for the S&P index, indicates a stable market with a possible uptrend. A high VIX, over 20, indicates a possible downtrend. VIX is essentially useless for BTC as BTC-based options do not exist. It allows us to predict the market low for $SPY, which will have an indirect impact on BTC in the short term, likely leading to the yearly low. However, it is equally important to see how VIX is changing over time, if it is decreasing or increasing, as that indicates increasing or decreasing fear. Low volatility allows high leverage without risk or rest. Occasionally, markets do rise with high VIX.
As VIX is unusually high, in the forties, we can be confident that a downtrend for the S&P 500 is imminent.
  • RSI (Relative Strength Index): The most important technical indicator, useful for determining highs and lows when time symmetry is not availing itself. Sometimes analysis of RSI can conflict in different time frames, easiest way to use it is when it is at extremes – either under 30 or over 70. Extremes can be used for filtering highs or lows based on time-and-price window calculations. Highly instructive as to major corrective clues and indicative of continued directional movement. Must determine if longer-term RSI values find support at same values as before. It is currently at 73.56.
  • Secondly, RSI may be used as a high or low filter, to observe the level that short-term RSI reaches in counter-trend corrections. Repetitions based on market movements based on RSI determine how long a trade should be held onto. Once a short term RSI reaches an extreme and stay there, the other RSI’s should gradually reach the same extremes. Once all RSI’s are at extreme highs, a trend confirmation should occur and RSI’s should drop to their midpoint.

Trend Definition Analysis of Bitcoin

Trend definition is highly powerful, cannot be understated. Knowledge of trend logic is enough to be a profitable trader, yet defining a trend is an arduous process. Multiple trends coexist across multiple time frames and across multiple market sectors. Like time structure, it makes the underlying price of the instrument irrelevant. Trend definitions cannot determine the validity of newly formed discretes. Trend becomes apparent when trades based in counter-trend inflection points continue to fail.
Downtrends are defined as an instrument making lower lows and lower highs that are recurrent, additive, qualified swing setups. Downtrends for all instruments are similar, except forex. They are fast and complete much quicker than uptrends. An average downtrend is 18 months, something which we will return to. An uptrend inception occurs when an instrument reaches a point where it fails to make a new low, then that low will be tested. After that, the instrument will either have a deep range retracement or it may take out the low slightly, resulting in a double-bottom. A swing must eventually form.
A simple way to roughly determine trend is to attempt to draw a line from three tops going upwards (uptrend) or a line from three bottoms going downwards (downtrend). It is not possible to correctly draw a downtrend line on the BTC chart, but it is possible to correctly draw an uptrend – indicating that the overall trend is downwards. The only mitigating factor is the impending stock market crash.

Time Symmetry Analysis of Bitcoin

Time is the movement from the past through the present into the future. It is a measurement in quantified intervals. In many ways, our perception of it is a human construct. It is more powerful than price as time may be utilized for a trade regardless of the market inflection point’s price. Were it possible to perfectly understand time, price would be totally irrelevant due to the predictive certainty time affords. Time structure is easier to learn than price, but much more difficult to apply with any accuracy. It is the hardest aspect of trading to learn, but also the most rewarding.
Humans do not have the ability to recognize every time window, however the ability to define market inflection points in terms of time is the single most powerful trading edge. Regardless, price should not be abandoned for time alone. Time structure analysis It is inherently flawed, as such the markets have a fail-safe, which is Price Structure. Even though Time is much more powerful, Price Structure should never be completely ignored. Time is the qualifier for Price and vice versa. Time can fail by tricking traders into counter-trend trading.
Time is a predestined trade quantifier, a filter to slow trades down, as it allows a trader to specifically focus on specific time windows and rest at others. It allows for quantitative measurements to reach deterministic values and is the primary qualifier for trends. Time structure should be utilized before price structure, and it is the primary trade criterion which requires support from price. We can see price structure on a chart, as areas of mathematical support or resistance, but we cannot see time structure.
Time may be used to tell us an exact point in the future where the market will inflect, after Price Theory has been fulfilled. In the present, price objectives based on price theory added to possible future times for market inflection points give us the exact time of market inflection points and price.
Time Structure is repetitions of time or inherent cycles of time, occurring in a methodical way to provide time windows which may be utilized for inflection points. They are not easily recognized and not easily defined by a price chart as measuring and observing time is very exact. Time structure is not a science, yet it does require precise measurements. Nothing is certain or definite. The critical question must be if a particular approach to time structure is currently lucrative or not.
We will measure it in intervals of 180 bars. Our goal is to determine time windows, when the market will react and when we should pay the most attention. By using time repetitions, the fact that market inflection points occurred at some point in the past and should, therefore, reoccur at some point in the future, we should obtain confidence as to when SPY will reach a market inflection point. Time repetitions are essentially the market’s memory. However, simply measuring the time between two points then trying to extrapolate into the future does not work. Measuring time is not the same as defining time repetitions. We will evaluate past sessions for market inflection points, whether discretes, qualified swings, or intra-range. Then records the times that the market has made highs or lows in a comparable time period to the future one seeks to trade in.
What follows is a time Histogram – A grouping of times which appear close together, then segregated based on that closeness. Time is aligned into combined histogram of repetitions and cycles, however cycles are irrelevant on a daily basis. If trading on an hourly basis, do not use hours.
  • Yearly Lows (last seven years): 1/1/13, 4/10/14, 1/15/15, 1/17/16, 1/1/17, 12/15/18, 2/6/19
  • Monthly Mode: 1, 1, 1, 1, 2, 4, 12
  • Daily Mode: 1, 1, 6, 10, 15, 15, 17
  • Monthly Lows (for the last year): 3/12/20 (10:00pm), 2/28/20 (7:09am), 1/2/20 (8:09pm), 12/18/19 (8:00am), 11/25/19 (1:00am), 10/24/19 (2:59am), 9/30/19 (2:59am), 8/29,19 (4:00am), 7/17/19 (7:59am), 6/4/19 (5:59pm), 5/1/19 (12:00am), 4/1/19 (12:00am)
  • Daily Lows Mode for those Months: 1, 1, 2, 4, 12, 17, 18, 24, 25, 28, 29, 30
  • Hourly Lows Mode for those Months (Military time): 0100, 0200, 0200, 0400, 0700, 0700, 0800, 1200, 1200, 1700, 2000, 2200
  • Minute Lows Mode for those Months: 00, 00, 00, 00, 00, 00, 09, 09, 59, 59, 59, 59
  • Day of the Week Lows (last twenty-six weeks):
Weighted Times are repetitions which appears multiple times within the same list, observed and accentuated once divided into relevant sections of the histogram. They are important in the presently defined trading time period and are similar to a mathematical mode with respect to a series. Phased times are essentially periodical patterns in histograms, though they do not guarantee inflection points
Evaluating the yearly lows, we see that BTC tends to have its lows primarily at the beginning of every year, with a possibility of it being at the end of the year. Following the same methodology, we get the middle of the month as the likeliest day. However, evaluating the monthly lows for the past year, the beginning and end of the month are more likely for lows.
Therefore, we have two primary dates from our histogram.
1/1/21, 1/15/21, and 1/29/21
2:00am, 8:00am, 12:00pm, or 10:00pm
In fact, the high for this year was February the 14th, only thirty days off from our histogram calculations.
The 8.6-Year Armstrong-Princeton Global Economic Confidence model states that 2.15 year intervals occur between corrections, relevant highs and lows. 2.15 years from the all-time peak discrete is February 9, 2020 – a reasonably accurate depiction of the low for this year (which was on 3/12/20). (Taking only the Armstrong model into account, the next high should be Saturday, April 23, 2022). Therefore, the Armstrong model indicates that we have actually bottomed out for the year!
Bear markets cannot exist in perpetuity whereas bull markets can. Bear markets will eventually have price objectives of zero, whereas bull markets can increase to infinity. It can occur for individual market instruments, but not markets as a whole. Since bull markets are defined by low volatility, they also last longer. Once a bull market is indicated, the trader can remain in a long position until a new high is reached, then switch to shorts. The average bear market is eighteen months long, giving us a date of August 19th, 2021 for the end of this bear market – roughly speaking. They cannot be shorter than fifteen months for a central-bank controlled market, which does not apply to Bitcoin. (Otherwise, it would continue until Sunday, September 12, 2021.) However, we should expect Bitcoin to experience its’ exponential growth after the stock market re-enters a bull market.
Terry Laundy’s T-Theory implemented by measuring the time of an indicator from peak to trough, then using that to define a future time window. It is similar to an head-and-shoulders pattern in that it is the process of forming the right side from a synthetic technical indicator. If the indicator is making continued lows, then time is recalculated for defining the right side of the T. The date of the market inflection point may be a price or indicator inflection date, so it is not always exactly useful. It is better to make us aware of possible market inflection points, clustered with other data. It gives us an RSI low of May, 9th 2020.
The Bradley Cycle is coupled with volatility allows start dates for campaigns or put options as insurance in portfolios for stocks. However, it is also useful for predicting market moves instead of terminal dates for discretes. Using dates which correspond to discretes, we can see how those dates correspond with changes in VIX.
Therefore, our timeline looks like:
  • 2/14/20 – yearly high ($10372 USD)
  • 3/12/20 – yearly low thus far ($3858 USD)
  • 5/9/20 – T-Theory true yearly low (BTC between 4863 and 3569)
  • 5/26/20 – hashrate difficulty halvening
  • 11/14/20 – stock market low
  • 1/15/21 – yearly low for BTC, around $8528
  • 8/19/21 – end of stock bear market
  • 11/26/21 – eighteen months from halvening, average peak from halvenings (BTC begins rising from $3000 area to above $23,312)
  • 4/23/22 – all-time high
Taken from my blog: http://aliamin.info/2020/
submitted by aibnsamin1 to Bitcoin [link] [comments]

Inflation, Gauge Symmetry, and the big Guh.

Inflation, Gauge Symmetry, and the big Guh.
Sup retards, back at it with the DD/macro.
scroll to the rain man stuff after the crayons if you don't care about the why or how.
TLDR:
June 19 $250 SPY puts
May 20 $4 USO puts
SPY under 150 by January next year.

So I was going about my business, trying to not $ROPE myself as my sweet tendies I made during the waterfall of March have evaporated, however, I heard that the fed was adding another $2.3T in monopoly money to the bankers pile specifically to help facilitate these loan programs being rolled out.
In short, they are backing these dumb-ass, zero recourse, federally mandated, loans with printing press money.
But cumguzzler OP, your title is about inflation and guage simp--try, why are you talking about the fed #ban.
Well, when you print money it is an inflationary action in theory. Let me explain.

EDUMACATION TIME

What is inflation? Inflation is the sustained increase in the price level in goods and services. Inflation is derived from a general price index, and in the US, from the consumer price index. Knowing that inflation is an outcome, not a set policy is very important. Inflation is a measurement after the fact, much like your technical astrology indicators. (**ps, use order flow in your TA you wizards**)
HOWEVER, the actual act of buying bundles of these loans does not directly impact inflation.
Now what is Gauge symmetry? Gauge symmetry is a function of math and theoretical physics that can be applied to finance models. What a gauge is, is a measurement. Gauge symmetry is when the underlying variable of something changes, however, we do not observe that variable change.
A great example of this is if you and a friend are moving, and your friend is holding a box of tendies. The box is a cube, equal on all sides. If you turn away for a moment and she rotates the cube 90 degrees while you are not looking, and you look back - you would have no idea the cube was rotated. There was a very real change in the position of the cube in relation to space-time. Your friend acted on it. But you didn't measure it, in fact it would be impossible for you to determine if the box was changed at all if you weren't observing it. That movement of the box where you didn't observe it, is called gauge transformation and happens literally more then JPow fucks my mom in quantum physics. The object observably exactly the same even though it is not physically the same. The act of it existing as an observably the same box is gauge symmetry - it is by observation symmetrical.
Why this is important, is that fiat money doesn't have any absolute meaning. The value of $1 is arbitrary. furthermore, Inflation is a Guage symmetry. Inflation has no real impact on the real value of the underlying goods and services, but rather serves as a metric to measure the shift of value across a timeline.
When JPow starts pluggin' your mom along with all these balance sheets, there is a gauge symmetry event happening. The money he is printing is entering the system (gauge transformation), this isn't an issue if all pricing against the USD get shifted equally, however, the market is not accounting for this money because we don't have real-time data on what is being applied where, we only get a slow drip in terms of weekly and monthly reports. WE HAVE OUR EYES CLOSED. This is a gauge symmetry event.
When this happens in real terms, the market becomes dislocated from its real value price. Well how do we know there is a dislocation?
"YoU JuSt SaId tHe UnDeRlYiNg VaLuE iZ AbStRaCkKt HuRr QE aNd MaRkEtS Iz ComPlEx ReAd A TeXtBuK AbOuT FrAcTiOnAl ReSErVe BanKiNg YoU NeRd." - **anyone rationalizing the bull run**
We can look at Forex you fish.
USD lives in a bubble. The Yen is in a bubble, the RMB is in a bubble, and we exchange with each other. the Jap central bank has little effect on the CPI index (cost of goods and services) of the US. If the Yen prints a gazillion dollars, the USD is not effected EXCEPT in its exchange rate. YEN:USD would see a sizeable differential the more Yen is printed and vise-versa.
So NOW instead of JPow getting away with plowing your girlfriend, we can catch the bitch.
Instead of looking at the gauge transformation at face value and then giving up because it is symmetrical output, we can look and see if this gauge symmetry carries over to the foreign exchange market. Well guess what happens when you look at the value of the USD against foreign currencies.
Consistent uncertainty during the fed operations. Meaning the market of banks that partake in FX swaps don't know where to spot the USD. Generally a very very bad thing.
Value of the USD to Euro 2017-2020, notice the slow decline, then the chaos at the end
Above is the value of the USD to Euro, notice the sloping decline. The dollar has been growing weaker since 2017. At the end you see our present issues, lets #ENHANCE
USD to Euro, January 2020 to Present
When you see those spikes, those are days in between Fed action. The value of the US goes up when the fed doesn't print because people aren't spending. Non-spending is a deflationary event and has a direct impact on the CPI. However, each drop when you line up the dates, was a date of Fed spending.
Lets look outside of the Eurozone.

This is the RMB to USD. Yes China manipulates, but look at the end of the graph
China manipulated rates early in 2018 however you can see the steady incline upward towards the of 2018. More specifically, lets look at it since December.
RMB value against USD, January to Now
You Can see the Chinese RMB has been gaining steam since December, even with Chinese production falling off a cliff all through this pandemic.

What this rain man level autism means for the economy.

Looking across the board at Forex we can see the USD having a schizo panic attack jumping up and down like me at a mathematics lecture.
But what does all this gauge BDSM and shit have to do with the markets? Well it shows 1 of 3 things are occuring.
  1. The fed is printing money to offset deflationary pressures of the economy being fuk for the past month, and therefore all this printing is offset by the loss of liquidity throughout the system and we are all retared. (SECRET: THIS IS WHAT ALL THE INSTITUTIONS THINK IS HAPPENING AND WE WILL ALL BE FINE.)
  2. The deflationary event is overplayed, and JPow just is nailing his coffin together. This would result in long term hyperinflation similiar to the Weimar republic. The only hedge against this is to load up on strong currency that do not manipulate and have enough distance from US markets that they can have some safety (ironically the Ruble is the safest currency. Low link to the USD and not influenced by China, and on discount rn)
  3. The gauge transformation is actually not as severe as they are blurting out, the fed does not pass go, does not actually print 10 Trillion dollars, and this was all a marketing ploy to not get Trump involved and prop markets. In this case, the real deflationary event is real, the USD red rockets harder then my cock and we end up market-wise at a very high asset price in relation to real value. This one is most dangerous because it increases the real value of debt and has mass dislocation between real value and market cap. You took debt at a fixed interest rate and a fixed principal, this would cause the biggest GUH in history when all of a sudden you are $100 million in debt and your revenue was $50 million a year ago, but now is only $25 million. That $100 million in debt is still $100 million and now you have a credit crisis because past values of money were inflated. This spirals into a large scale solvency crisis of any company utilizing current growth methodology (levering up to your tits in debt)
In only 1 of these 3 scenarios do we see any sort of "good" outcome? That would be the offset of deflationary pressures.
It is very important to understand that inflation is only a measurement, and itself does not denote value of real goods and services.

Option 1 of a print fiesta that works (something similar to 1981-82) seems possible. A similar environment and reaction occured in the early 80s when the government brute-forced a bull run using these same offset theorems but in that situation, Volker at the fed had interest rates at 21.5% and had 20% to come down to stimulate the inflationary reaction.
Long term this would just lever up more debt and expanded the real wealth gap over time because we kicked the can down the road another 15 years. If that happens again socioeconomically I don't see capitalism surviving (yeah Im on my high horse get over it). This is the option that many fiscal policymakers and talking heads abide by and the reason why the markets are green. However, it is really just kicking it down the road and expanding real wealth inequality. You think Bernie Sanders is bad, wait until homes cost $3million dollars in Kentucky and AOC Jr comes around.

If we get option 2, we see hyperinflation and we turn into Zimbabwe, which is great, I've always wanted to see Africa. Long term we could push interest rate back to 1980 Volker levels and slowly revalue the US against real value commodities already pegged to the USD like oil. This would be a short term shock but because of international reliance on the USD system, we could slowly de-lever this inflation over 2-3 years and be back to normal capacity although the markets would blow their O-ring. Recession yes, but no long term depression.

If we get option 3, the worst long term option in my opinion, basically any company with any revolver line drawn down when that hits is going to go under, private equity won't touch it with a 20ft stick because cashflows couldn't possibly handle the debt on the end of the lever, and we see mass long term unemployment. The only way out of the spiral of option three is inflationary pressure from the fed+government, but because we are already so far down the rabbit hole at the current moment there's no fucking way we could print another 10 trillion. USD treasuries couldn't handle the guh and we would essentially be functionally forced into a long term (7-10 year) depression because nothing anyone could do would delever the value of the dollar. This would result in the long term collapse of the United States as a world power and would render us like Russia in 1991.

Thank you for coming to my ted talk.
submitted by TaxationIsTh3ft to wallstreetbets [link] [comments]

The Best (free) Multi time-frame Utility/Tool for MT4 to date

The Best (free) Multi time-frame Utility/Tool for MT4 to date
Disclaimer: I am not the creator nor am i promoting this tool for any personal gain whatsoever. This is a 100% free tool that can be downloaded from the web. I am not posting here to bring attention to myself or any other website regardless of context. I'm merely sharing this utility with the intention of helping new traders and veteran traders alike. I read the subreddit rules and it's prohibited to share links to blogs, youtube, and social media; nor can we post promotional marketing activity (promotions to generate sales). Since this post doesn't directly fall into those categories this post should hopefully be okay .
Hello fellow traders,
I'd like to make a quick post to share with you guys one of my absolute favorite MT4 tools in regards to multi time-frame analysis. I cant tell you how much this tool has helped me, especially when i was a new trader years ago trying to analyze various currency pairs. So i know this will help all of you as well.
I'm sure many of you guys have asked yourself or wondered which currency pairs are the best to trade at any particular time. Well this mt4 dashboard should help steer you in the right direction when analyzing the market and add an extra level of confirmation and market sentiment to your strategy. What is does is measure price distance from moving averages and mimics the functionality of a currency strength meter on steroids. (I personally use it to find the the strongest and weakest currencies and trade those). This dashboard is fully customization in regards to time frame, MA method, price and length.
To be safe i don't want to leave a link adding reason for mods to remove this post. Its called MaDash and can be found with a quick browser search (keywords "MaDash forex"). Remember, this is free and has always been free so if anyone is trying to charge for this then your're not at the right place. Anyway, i hope you all find this tool as beneficial to your trading repertoire as i have.
Happy Trading!
Screenshot of this dashboard for reference.
https://preview.redd.it/y40fl0qmmrz41.png?width=1552&format=png&auto=webp&s=a7470825ca2f227d030281fda16abc1b62b0ddbb

https://preview.redd.it/g72hmpn9vrz41.png?width=842&format=png&auto=webp&s=734aaf79a756c35ed9f0cb1d44cc20ca0680f87c
submitted by GareBearthetrader to Forex [link] [comments]

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