Download Free Forex Data – HistData.com

Former investment bank FX trader: News trading and second order thinking part 2/2

Former investment bank FX trader: News trading and second order thinking part 2/2
Thanks for all the upvotes and comments on the previous pieces:
From the first half of the news trading note we learned some ways to estimate what is priced in by the market. We learned that we are trading any gap in market expectations rather than the result itself. A good result when the market expected a fantastic result is disappointing! We also looked at second order thinking. After all that, I hope the reaction of prices to events is starting to make more sense to you.

Before you understand the core concepts of pricing in and second order thinking, price reactions to events can seem mystifying at times
We'll add one thought-provoking quote. Keynes (that rare economist who also managed institutional money) offered this analogy. He compared selecting investments to a beauty contest in which newspaper readers would write in with their votes and win a prize if their votes most closely matched the six most popularly selected women across all readers:
It is not a case of choosing those (faces) which, to the best of one’s judgment, are really the prettiest, nor even those which average opinions genuinely thinks the prettiest. We have reached the third degree where we devote our intelligences to anticipating what average opinion expects the average opinion to be.
Trading is no different. You are trying to anticipate how other traders will react to news and how that will move prices. Perhaps you disagree with their reaction. Still, if you can anticipate what it will be you would be sensible to act upon it. Don't forget: meanwhile they are also trying to anticipate what you and everyone else will do.

Part II
  • Preparing for quantitative and qualitative releases
  • Data surprise index
  • Using recent events to predict future reactions
  • Buy the rumour, sell the fact
  • The trimming position effect
  • Reversals
  • Some key FX releases

Preparing for quantitative and qualitative releases

The majority of releases are quantitative. All that means is there’s some number. Like unemployment figures or GDP.
Historic results provide interesting context. We are looking below the Australian unemployment rate which is released monthly. If you plot it out a few years back you can spot a clear trend, which got massively reversed. Knowing this trend gives you additional information when the figure is released. In the same way prices can trend so do economic data.

A great resource that's totally free to use
This makes sense: if for example things are getting steadily better in the economy you’d expect to see unemployment steadily going down.
Knowing the trend and how much noise there is in the data gives you an informational edge over lazy traders.
For example, when we see the spike above 6% on the above you’d instantly know it was crazy and a huge trading opportunity since a) the fluctuations month on month are normally tiny and b) it is a huge reversal of the long-term trend.
Would all the other AUDUSD traders know and react proportionately? If not and yet they still trade, their laziness may be an opportunity for more informed traders to make some money.
Tradingeconomics.com offers really high quality analysis. You can see all the major indicators for each country. Clicking them brings up their history as well as an explanation of what they show.
For example, here’s German Consumer Confidence.

Helpful context
There are also qualitative events. Normally these are speeches by Central Bankers.
There are whole blogs dedicated to closely reading such texts and looking for subtle changes in direction or opinion on the economy. Stuff like how often does the phrase "in a good place" come up when the Chair of the Fed speaks. It is pretty dry stuff. Yet these are leading indicators of how each member may vote to set interest rates. Ed Yardeni is the go-to guy on central banks.

Data surprise index

The other thing you might look at is something investment banks produce for their customers. A data surprise index. I am not sure if these are available in retail land - there's no reason they shouldn't be but the economic calendars online are very basic.
You’ll remember we talked about data not being good or bad of itself but good or bad relative to what was expected. These indices measure this difference.
If results are consistently better than analysts expect then you’ll see a positive number. If they are consistently worse than analysts expect a negative number. You can see they tend to swing from positive to negative.

Mean reversion at its best! Data surprise indices measure how much better or worse data came in vs forecast
There are many theories for this but in general people consider that analysts herd around the consensus. They are scared to be outliers and look ‘wrong’ or ‘stupid’ so they instead place estimates close to the pack of their peers.
When economic conditions change they may therefore be slow to update. When they are wrong consistently - say too bearish - they eventually flip the other way and become too bullish.
These charts can be interesting to give you an idea of how the recent data releases have been versus market expectations. You may try to spot the turning points in macroeconomic data that drive long term currency prices and trends.

Using recent events to predict future reactions

The market reaction function is the most important thing on an economic calendar in many ways. It means: what will happen to the price if the data is better or worse than the market expects?
That seems easy to answer but it is not.
Consider the example of consumer confidence we had earlier.
  • Many times the market will shrug and ignore it.
  • But when the economic recovery is predicated on a strong consumer it may move markets a lot.
Or consider the S&P index of US stocks (Wall Street).
  • If you get good economic data that beats analyst estimates surely it should go up? Well, sometimes that is certainly the case.
  • But good economic data might result in the US Central Bank raising interest rates. Raising interest rates will generally make the stock market go down!
So better than expected data could make the S&P go up (“the economy is great”) or down (“the Fed is more likely to raise rates”). It depends. The market can interpret the same data totally differently at different times.
One clue is to look at what happened to the price of risk assets at the last event.
For example, let’s say we looked at unemployment and it came in a lot worse than forecast last month. What happened to the S&P back then?

2% drop last time on a 'worse than expected' number ... so it it is 'better than expected' best guess is we rally 2% higher
So this tells us that - at least for our most recent event - the S&P moved 2% lower on a far worse than expected number. This gives us some guidance as to what it might do next time and the direction. Bad number = lower S&P. For a huge surprise 2% is the size of move we’d expect.
Again - this is a real limitation of online calendars. They should show next to the historic results (expected/actual) the reaction of various instruments.

Buy the rumour, sell the fact

A final example of an unpredictable reaction relates to the old rule of ‘Buy the rumour, sell the fact.’ This captures the tendency for markets to anticipate events and then reverse when they occur.

Buy the rumour, sell the fact
In short: people take profit and close their positions when what they expected to happen is confirmed.
So we have to decide which driver is most important to the market at any point in time. You obviously cannot ask every participant. The best way to do it is to look at what happened recently. Look at the price action during recent releases and you will get a feel for how much the market moves and in which direction.

Trimming or taking off positions

One thing to note is that events sometimes give smart participants information about positioning. This is because many traders take off or reduce positions ahead of big news events for risk management purposes.
Imagine we see GBPUSD rises in the hour before GDP release. That probably indicates the market is short and has taken off / flattened its positions.

The price action before an event can tell you about speculative positioning
If GDP is merely in line with expectations those same people are likely to add back their positions. They avoided a potential banana skin. This is why sometimes the market moves on an event that seemingly was bang on consensus.
But you have learned something. The speculative market is short and may prove vulnerable to a squeeze.

Two kinds of reversals

Fairly often you’ll see the market move in one direction on a release then turn around and go the other way.
These are known as reversals. Traders will often ‘fade’ a move, meaning bet against it and expect it to reverse.

Logical reversals

Sometimes this happens when the data looks good at first glance but the details don’t support it.
For example, say the headline is very bullish on German manufacturing numbers but then a minute later it becomes clear the company who releases the data has changed methodology or believes the number is driven by a one-off event. Or maybe the headline number is positive but buried in the detail there is a very negative revision to previous numbers.
Fading the initial spike is one way to trade news. Try looking at what the price action is one minute after the event and thirty minutes afterwards on historic releases.

Crazy reversals


Some reversals don't make sense
Sometimes a reversal happens for seemingly no fundamental reason. Say you get clearly positive news that is better than anyone expects. There are no caveats to the positive number. Yet the price briefly spikes up and then falls hard. What on earth?
This is a pure supply and demand thing. Even on bullish news the market cannot sustain a rally. The market is telling you it wants to sell this asset. Try not to get in its way.

Some key releases

As we have already discussed, different releases are important at different times. However, we’ll look at some consistently important ones in this final section.

Interest rates decisions

These can sometimes be unscheduled. However, normally the decisions are announced monthly. The exact process varies for each central bank. Typically there’s a headline decision e.g. maintain 0.75% rate.
You may also see “minutes” of the meeting in which the decision was reached and a vote tally e.g. 7 for maintain, 2 for lower rates. These are always top-tier data releases and have capacity to move the currency a lot.
A hawkish central bank (higher rates) will tend to move a currency higher whilst a dovish central bank (lower rates) will tend to move a currency lower.
A central banker speaking is always a big event

Non farm payrolls

These are released once per month. This is another top-tier release that will move all USD pairs as well as equities.
There are three numbers:
  • The headline number of jobs created (bigger is better)
  • The unemployment rate (smaller is better)
  • Average hourly earnings (depends)
Bear in mind these headline numbers are often off by around 75,000. If a report comes in +/- 25,000 of the forecast, that is probably a non event.
In general a positive response should move the USD higher but check recent price action.
Other countries each have their own unemployment data releases but this is the single most important release.

Surveys

There are various types of surveys: consumer confidence; house price expectations; purchasing managers index etc.
Each one basically asks a group of people if they expect to make more purchases or activity in their area of expertise to rise. There are so many we won’t go into each one here.
A really useful tool is the tradingeconomics.com economic indicators for each country. You can see all the major indicators and an explanation of each plus the historic results.

GDP

Gross Domestic Product is another big release. It is a measure of how much a country’s economy is growing.
In general the market focuses more on ‘advance’ GDP forecasts more than ‘final’ numbers, which are often released at the same time.
This is because the final figures are accurate but by the time they come around the market has already seen all the inputs. The advance figure tends to be less accurate but incorporates new information that the market may not have known before the release.
In general a strong GDP number is good for the domestic currency.

Inflation

Countries tend to release measures of inflation (increase in prices) each month. These releases are important mainly because they may influence the future decisions of the central bank, when setting the interest rate.
See the FX fundamentals section for more details.

Industrial data

Things like factory orders or or inventory levels. These can provide a leading indicator of the strength of the economy.
These numbers can be extremely volatile. This is because a one-off large order can drive the numbers well outside usual levels.
Pay careful attention to previous releases so you have a sense of how noisy each release is and what kind of moves might be expected.

Comments

Often there is really good stuff in the comments/replies. Check out 'squitstoomuch' for some excellent observations on why some news sources are noisy but early (think: Twitter, ZeroHedge). The Softbank story is a good recent example: was in ZeroHedge a day before the FT but the market moved on the FT. Also an interesting comment on mistakes, which definitely happen on breaking news, and can cause massive reversals.

submitted by getmrmarket to Forex [link] [comments]

Sources for historical ‘retail bank’ FX rates

Hello Forex,
I’d like to find a source for historical retail bank bid-offer rates for a project and compare that to Reuter’s/Bloomberg. (e.g.: from Citi/Western Union/Standard Chartered)
Hourly rate snapshot would be sufficient for a few years’ of data.
Your help and advice would be really appreciated. Thanks!
submitted by iirriirrii to Forex [link] [comments]

Forex Trading Strategies Reddit: What you need to know to start Forex trading.

Forex Trading Strategies Reddit: What you need to know to start Forex trading.

FOREX Strategies

What are FOREX Strategies?
https://preview.redd.it/ihmphstzguv51.jpg?width=960&format=pjpg&auto=webp&s=81f6b73c367d8695605514f8d32aaf3e2aeabc6e
You may have noticed that most of people confuse the terminology and refer to FOREX Strategies in the wrong way. There are methodologies, systems, strategies, and techniques. The most effective methodology is Price Language (Trend Tracking). Combined with a correct reading of mass psychology presented by the charts.
We know that in the Stock Markets there are thousands of strategies. FOREX, like the rest of the markets, presents you with the opportunity to apply similar strategies to win consistently. Taking advantage of repetitive psychological patterns.
First, the Price Language methodology has created great fortunes in FOREX, and the next fortune may be yours. But this methodology must be implemented within a framework of advanced concepts of Markets. Without forgetting the basics. And working hard day by day.
Second, a strategy is a set of parameters and techniques that together give you the advantage to act in any situation. Thus for example in war, generals have attack strategies and counterattack strategies.
FOREX strategies alike are entry strategies and exit strategies. All beginners should know these FOREX strategies for beginners. That way you will get a general idea of ​​the game and understand that trading is a war against the Market and its Specialists. Only applying FOREX strategies revealed by the same Specialists and using their own techniques,
... you can survive in this war.
Do not fall into the trap of the many "systems" and "methods" that are offered on the internet about operating in the FOREX Market. They just don't work in the long run. They are strategies based on indicators for the most part. Using rigid parameters. That if they can work and give profitability during a certain period of time, they will always reach a breaking point when the market changes its dynamics.
Instead, take advantage of your precious time and learn the Language of Price or Price Action.
The Language methodology will allow you to adapt to each new phase of the Market. If you combine this knowledge with the appropriate psychological concepts, you can live comfortably from speculation in FOREX.

Forex Trading Strategies Reddit - Basic FOREX Strategies

You have two basic FOREX strategies, one entry, and one exit. Both follow a general strategy that helps you capitalize on the collective behaviors of the Market. That is, of the total of participating speculators.
This behavior causes the formation of cycles that repeat over and over again. Driven by the basic emotions (uncertainty, greed, and panic) of the speculators involved that can be taken advantage of with the aforementioned FOREX strategies. Specialists identify these emotions in the order flow and capitalize on these events every hour, every day, and every month.
Basic FOREX Strategies - The Price Cycle
These repetitive cycles consist of 4 phases:
  1. Accumulation
  2. Upward trend
  3. Distribution
  4. Downward trend
https://preview.redd.it/6dvk2w0pduv51.png?width=300&format=png&auto=webp&s=a3ab65ca4eab6d20174b3327b862d8b59dcc13b7
The two trends can be easily identified by their notorious breakdown. And the two areas of uncertainty (accumulation and distribution), due to their notorious range trajectories.
This general behavior determines the core of our FOREX strategies.
You buy when the price of a pair has broken and has come out of one of its congestion formations (accumulation or distribution). You implement one of the Forex strategies, in this case, the entry one.
The multi-time technique will help you find the point of least risk when entering your initial buy or sell order. In the same way and using the same strategy but this time to close your position, the multiple timing technique will also show you how to close your operation obtaining the highest possible profit.
The most consistent way to extract profits in the market is by trading the start of trends within a cycle . Once confirmed by their respective breaks from the areas of uncertainty. This is the mother of all FOREX strategies . And in a market that operates 24 hours, we have more frequent cycles and therefore more opportunities.

Forex Trading Strategies Reddit - Advanced Forex Strategies

There are many advanced FOREX strategies that are generally used by professional speculators working for large financial firms.
Among these firms are banks, Investment Fund managers and Hedge Fund managers. The latter is an investment modality similar to Investment Funds, with the difference that Hedge Funds use more complex investment strategies. Its operations are more oriented to aggressive speculations in the short and medium-term.
Among the most common strategies is hedging (hedging), carry trade, automated systems based on quantum mathematics. And a large number of combinations between the different option strategies.

The Carry Trade

The central idea of ​​Carry Trade is to buy a pair in which the base currency has a considerably higher interest rate than the quoted currency. To earn the difference in rates regardless of whether the price of the pair rises or falls.
Suppose we buy a $ 100,000 lot of AUDJPY, which according to the rates on the chart would turn out to be the ideal instrument in this example to use the Forex carry trade strategy.
As our capital is in US dollars we have to assume for our example, the following quotes necessary to perform the place calculations:
AUD / JPY = 80.00 USD / JPY = 85.00
What happens internally in your broker is this.
  1. By placing as collateral $ 1,000 of your $ 50,000 of capital (assumed for this example), deposited in your account, you have access to $ 100,000 virtual (this is what is known as leverage); that is, you put in $ 1,000 and your broker lends you 99,000.
  2. With those $ 100,000 virtual dollars, your broker borrows on your behalf ¥ 8,500,000 Japanese yen (85 × 100,000) at 0.1% annual interest from a Japanese bank.
  3. With those ¥ 8,500,000 Japanese yen, your broker buys A $ 106,250 Australian dollars (8,500,000 / 80) and deposits it in an Australian bank where it receives 4.5% annual interest on your behalf.
  4. One year later (and regardless of the profit or loss generated by the pair's movement), your profit will be the difference between the AUD rate and the JPY rate, that is:
Profit = (AUD rate) - (JPY rate) - (costs of the 2 currency exchanges) Profit = (4.5%) - (0.1%) - (0.1% to 1%)
The great advantage of carry trade FOREX strategies is that this percentage profit is applied to the $ 100,000 of the standard lot; the broker transfers all of the profit to you, even if you only contributed $ 1,000. On the other hand, if you carry out the inverse of this operation, this benefit of the Forex carry trade becomes a cost (swap), and you assume it completely.
Remember that FOREX carry trade strategies are recommended for pairs with considerable interest rate differences, such as the one we have just seen in our example.
These FOREX strategies should also not be used in isolation. The idea is that through technical analysis you identify when would be the ideal time to enter the market using your carry trade Forex strategy and multiply your profits considerably.

What FOREX Strategies Do Hedge Funds Use?

The FOREX strategies used by large fund managers do not constitute an advantage in terms of percentage results for them, nor do they constitute a competitive disadvantage for you.
The vast majority of them fail because of their big egos. In fact, there was a firm made up of great financial geniuses, including 2 winners of the Nobel Prize in Economics, who developed a strategy based on quantum mathematical calculations.
With an initial base capital of about 3 billion dollars, and after 3 successful years obtaining annual returns of over 40%, the firm Long-Term Capital Management, begins its fourth year with losses. To counteract these losses the geniuses decide to multiply the initial capital several times, while the losses continued.
The year closed with the bankruptcy of the fund, and with a total accumulated loss of 1 trillion dollars, due to the great leverage used. And all for not admitting that the FOREX Strategies of Long Term Capital Management were not in line with the dynamics of the Market.
There are an overwhelming number of opportunities in the stock markets to make money interpreting the Language of Price.
You don't need to use complex "advanced" strategies that have been created to handle hundreds or billions of dollars.
The reasons for using these FOREX strategies are very different from what a "retail trader" pursues with his small speculation business.
As you can see, you should not worry about wanting to integrate any of these advanced strategies into your arsenal. They are only beneficial for managing hundreds or billions of dollars, where the return parameters are very different when you handle small amounts of capital.
Do not worry about collecting hundreds of free FOREX strategies that circulate on the internet, that great accumulation of mediocre information will only serve to confuse you and waste your valuable time.
Spend that time learning Price Action,
… And you will always be one step behind the Specialists, identifying each new Market condition, and anticipating the vast majority of reversals of all prices.
Ironically, the most successful fund managers indicate that their most profitable trades are those based on the basic trend-following strategies of the Price Language. The same ones that you will learn in this Free Course.
Dedicate yourself to perfecting them and believe me you won't need anything else. As long as you have good risk management, taking into consideration the following points ...

Styles of Investments in FOREX

The Investment FOREX long term is not recommended for small investors like you and me. If we take into account the term investing literally as large investors do who buy a financial product today to sell it years later.
We both have a better niche in the short and medium-term.
You may have noticed that the big multi-year trends in the Forex Market do exist. But minor swings within a big trend are usually very wide.
These minor movements allow us to easily double and triple the annual return of the big general trend, motivating most traders to speculate in the short and medium-term.
These minor oscillations or trends that occur within the large multi-year trends owe their occurrence mainly to two reasons.
First, the FOREX Market presents 3 sessions a day each in different cities of the world with different time zones (Asia, Europe, and America). This causes more frequent trend changes than in the rest of the stock markets.
Second, the purpose for which it was created also plays a role. The modern Foreign Exchange Market, since its inception in 1972, was conceived by the global financial system as a tool for speculation. To obtain benefits in the short and medium-term (from several days to 1 year).
These two points are basically the reasons why we observe the immense speed with which the FOREX market changes trends.
For example, for those who live in America, in the early morning (Europe) the EURUSD pair may be on the rise, in the morning or afternoon (America) it may be down, and then finally at night (Asia) it may return to the rise.

Define your Own Style for your FOREX Investments

One of the first decisions you will have to make is to choose your style as a trader or investor.
There are 4 types of well-defined styles.
Most professional traders tend to have multiple styles, although they always identify with one primary style for their FOREX investments. Study the characteristics of the 4 main styles to make your investments in FOREX :
1. Long Term: recommended for anyone who is going to enter the market for the first time and who can dedicate a minimum of one hour per month to their investments in Forex. The period of an open position ranges from 1 year to 5 years.
2. Medium Term: recommended for anyone who is going to enter the market for the first time and who can dedicate a minimum of one hour per week to their investments in Forex. The period of an open position ranges from 1 month to 1 year.
3. Short Term: recommended for anyone who is going to enter the market for the first time, or who already has a certain time operating in the long and medium-term, showing constant profits, and who can dedicate a minimum of one hour per day to your investments in FOREX. The period of an open position ranges from 1 day to 1 month.
4. Intraday : recommended only for people with a fairly solid earnings record in the short term, and with a capital greater than $ 50,000. As we have noted, this option constitutes a full-time job.
People who start investing in FOREX , should start executing short-term (weeks) and medium-term (months) transactions only, and not pay attention to intraday oscillations (day trading).
If you are interested in being an intraday speculator, I recommend that you first exhaust at least a year doing operations in the short and medium-term to assimilate the correct strategies and to develop the necessary mentality to carry out this work.
The second option would be to participate in some kind of intensive training.
I remind you that self-educating is almost impossible in speculation. You are likely to accumulate a lot of knowledge by reading books and attending courses. But you will probably never learn to make money with all the incomplete "systems" circulating on the internet.

Mistakes to Avoid When Looking for Your Style

Many people who are new to FOREX investments make the mistake of combining these styles, which is a key to failure.
I recommend that if you are not getting the results you expected by adopting one of these styles, do not try to change it. The problem sure is not in the style, but in your strategies or in your psychology.
A successful investor is able to make a profit in any longer trading time than he is used to. I explain. If you are already a profitable operator in the short term, it is very likely that you will also be profitable in the medium and long term,
… As long as you can interpret the Language of Price or Price Action.
In the opposite case, the same would not happen. If you were a medium-term trader, you would need time to adjust to the intraday. The reality is that long, medium and short term traders have very similar personalities. The intraday trader is completely different.

The Myth of the Intraday in Investments in FOREX

If you are already successful in the short, medium and long term, you will notice that the sacrifice and the hours necessary in front of the computer to operate intraday is much greater. The intraday style will be useful to increase your account if it is less than USD $ 100,000 in a very short time in exchange for 8 to 12 hours a day of hard work but ...
You must first develop the necessary skills to operate the intraday.
The ideal is to combine all the styles to get more out of the Market and carry out more effective transactions and have a diversification in your investments in FOREX.
There are intraday traders that are very successful, but the reality is that there are very few in the world that make a profit year after year. If you want to become an intraday, you just have to prepare yourself properly through intensive training.
Otherwise, I recommend that you don't even think about educating yourself to adopt the intraday style. It is not necessary to go against a probability of failure greater than 99%. Unless
... your ego is greater than your common sense.
The main reason why this style of investments in FOREX is not recommended for the vast majority of us "retail investors" (the official term "retail traders"), is the high operational cost.
The real commissions in this market range between $ 2.0 and $ 2.50 for each lot of 100,000 virtual units. This means that a complete operation (opening and closing) is approximately $ 5.00, for each standard lot traded ($ 100,000 virtual).
Another fundamental reason is the advent of robotic traders (HFT = High-Frequency Trading), which tend to manipulate the market in the shorter intraday swings. Please do not confuse HFTs with automated systems that we find daily on the internet, and that can be purchased for a few hundred dollars and often for free on FOREX forums / groups.
These HFTs to which I refer, they are effective. They cost millions of dollars and have been developed by the large Wall Street financial firms to manage their investments in FOREX.
The reality of the intraday trader is that you execute orders for large lots at the same time, to profit from the smallest movements in the market. It is an activity based on reflexes. The slightest oversight or distraction can turn into a catastrophe for your FOREX investments.
I recommend that you start investing in FOREX using slow time periods such as H4 or Daily. For some reason, all Goldman Sachs intraday FOREX investments are made with algorithms.

Finally…

To choose your style as a trader and manage your investments in FOREX, first determine what your degree of experience is, analyze the points mentioned below and the rest you will discover when you execute your first operations.
The points that will affect your decision are:
  • Capital
  • Time available each day
  • Level of Experience
  • Personality
Discovering your style is a search process. For some it will be a long way to find the right time frame that matches their personality. Don't be put off by the falls. After all, those who continue the path despite the falls are the ones who reach the destination.
And I hope you are one of those who get up over and over again. The next lesson will boost your confidence when you discover the main reason that moves currencies ...

Fundamental Analysis in Forex Trading Reddit

The fundamental analysis in Forex is used mostly by long-term investors. Players as we saw in the styles of operators, start a negotiation today, to close it years later.
I always emphasize the importance that the mass media give to this type of analysis to distract the great mass of participants.
It is all part of a great mass psychological manipulation. For centuries the ignorance of the masses has been organized before the great movements begin.
The important news are the macroeconomic reports published by the Central Banks and other government agencies destined for this work. All reports are made up. 99% of them are corrected months later.
These events are tools to justify fundamental analysis and price cleaning movements. Any silly headline does the job. With this, it is possible to absorb most of the existing liquidity, before the new trend phase is projected.

Reaction!

Except in rare situations, the result of an economic report of the fundamental analysis is generally already assimilated in the graph. In most cases, there are financial institutions that already have access to this information and are organizing and carrying out their operations in advance.
The phrase buy the rumor and sell the news is a very old adage on Wall Street. And its meaning contains what we have just explained. For the investor who can interpret the Language of Price, fundamental analysis is of little importance. Well, in general, their disclosure does not indicate that you have to take any action in your open trades , as long as your entry strategy provides you with a good support cushion.
This reality of fundamental analysis causes a lot of confusion for investors who lack in-depth knowledge of the forex market.

Macroeconomic Data

The data published in these events is irrelevant. Both for speculators and for the people in general. They are false. They lack reliability.
The price can go up or down with the same result of the data. The main ones are:
- Interest Rates - GDP (gross domestic product) - CPI (inflation) - ISM (manufacturing index) - NFP (payroll) - Double Deficits (deficit = fiscal + balance of payments)
If you are initiated, I recommend you avoid operating near these events. It is only a matter of having the time pending. Use the economic calendar for Fundamental Analysis of Forex Factory.
There is a probabilistic advantage in operating these fundamental analysis events. But it takes preparation, experience, and practice. They represent a way of diversifying in the general operation of a speculator.

The Uncertainty of Fundamental Analysis

On many occasions after the disclosure of an economic report, the price movement of the currency pair that is going to be affected tends to move in the opposite direction to the logic of the report.
I show you an example of a fundamental analysis report. Imagine that the EUR / USD pair is trading at 1.2500, and the FED (US Federal Reserve) issues a statement announcing that it has just raised inter-bank interest rates from 0.25 points to 0.75 points. Very positive news for the US dollar that logically implies an appreciation of the currency and consequently an instantaneous collapse of the EUR / USD pair (up the dollar and down the euro)
However, minutes after the release of said fundamental analysis report, the pair after effectively collapsing to 1.2400, returns and returns to its levels prior to the report (1.2500). This situation is very common , but it is not so easy to identify it when it is occurring, but after the damage is done.
Traps like these devour the accounts of beginners who approach the market with little experience, with weak strategies, and especially with very little experience.
That is why I reiterate that you forget the fundamental analysis for now. Just keep in mind when operating, that there is no publication scheduled nearby. Just check the economic calendar for the day and forget about the numbers. Let the economists mess around with the data.

FOREX Market Correlation

The Forex market correlation exists between pairs with similar "base" currencies and not always under the same circumstances. The correlation in the Forex market that is most followed and that has the greatest impact on fundamental analysis is that of the US dollar (USD).
The USD is the most traded monetary unit with a volume greater than 80% with respect to the rest of the currencies. This fact determines why their correlation is the most important, the most followed, and perhaps the only one worth following in the fundamental macro analysis.
The 7 major pairs are usually in sync . These 7 pairs all include the USD and present a fundamental analysis correlation almost 75% of the time. Influencing the rest of the currency pairs.

Advantages of the FOREX Market Correlation

In the fundamental analysis the most basic FOREX correlation is the following. When the USD appreciates, the USD / CAD, USD / CHF, and USD / JPY pairs tend to go up in price. This indicates that the Canadian dollar (CAD), the Swiss franc (CHF), and the Japanese yen (JPY) are losing value against the USD.
We must bear in mind that this correlation does not occur 100% of the time. In fact, the JPY generally tends to move in the opposite direction , since in recent decades this currency has been used as a source of financing to invest in other financial instruments.
On the other side is the FOREX market correlation that generates a movement almost in unison in the other 4 major pairs EUR / USD, GBP / USD, AUD / USD, and NZD / USD. These tend to fall in price, homologous the appreciation of the USD. But not always.
In this case the fundamental analysis correlation works most of the time, between 65 and 85% of the time. Small differences are noted in the extent that each of these pairs experiences.
There is also a correlation in the secondary FOREX market, where the pairs of all currencies that do not include the USD participate, but I recommend you not to waste time on them for now. There are more important things about the Language of Price to know first.

FOREX Commodity Correlation

In this part I will explain to you in a basic way the Correlation Commodities - FOREX of the fundamental analysis.
There are three currencies that have a direct correlation with commodities. They are usually called: "COMDOLLS" which is short for "Commodities Dollars" (Commodities Dollars), since all three obey the dollar denomination. These are:
- The New Zealand Dollar (NZD) - The Australian Dollar (AUD) - The Canadian Dollar (CAD)
These three currencies make up the group of the 8 largest together with the euro, the pound, the yen, the franc and the US dollar. Together, they merge to produce the major pairs traded in the FOREX Foreign Exchange Market.
The FOREX Commodity Correlation has an affinity in most cases greater than 75%. And each of them has its different raw material of correlation. You will notice that the NZD and the AUD are two currencies that act practically in unison. Both present minimal discrepancies in their fluctuations in the short, medium and long term.
This is mainly because their economies are very similar and their economic and fiscal policies are too. Their main production items also show great similarities, despite the fact that the Australian economy is much larger than the New Zealand economy.
The raw materials that follow the movement of the AUD are mainly gold and copper. If you put the history of these three quotes during the last decade of the year 2,000 together on the same chart, you will notice a very similar upward movement between the three quotes. Pure correlation of fundamental analysis.
This strong correlation with commodities in the metals area for the AUD has provided Australia with an economic advantage enviable over the other major powers that have seen their currencies devalue sharply against the AUD. At the same time, they experience a constant decrease in the purchasing power of their citizens.
The NZD maintains a correlation with raw materials related to agriculture and livestock, mainly including milk and its derivatives. It is one of the countries that dominates the world export of these economic items, and also has important exports of metals , although in smaller quantities than Australia.
Finally, you have a correlation with raw materials in the energy area. For historical reasons the CAD, which is not the largest oil producer in the world, but an important supplier to the largest consumer that is the US, has seen its currency oscillate in line with oil prices.
To make long-term investments in the Foreign Exchange Market, it is necessary to take into consideration at least one Commodity Correlation - FOREX in your fundamental analysis.

Forex Technical Analysis Reddit

The technical analysis is the methodology that interprets the movements of the price. Specialists look for liquidity to fund their business. The repetition of the strategies used by the specialists in their work generate repetitive patterns.
If you were an analyst, you would develop the visual ability to identify such patterns on a graph. If you were a programmer you would quantify them mathematically using complex formulas.
And if you could learn to interpret the Language of Price, you would have the ability to anticipate 90% of all movements that occur on a chart. And in this business, anticipating is what will make you money.
Market prices are reflected and framed on a horizontal time axis and a vertical price axis. Prices go up or down according to the aggressiveness of the participating operators. In an efficient or balanced market these oscillations should be imperceptible.
But in reality this is not the case, since the Market works thanks to the digital printing of hundreds of billions of units of paper money systematically distributed by the Central Banks through the banking system. These resources serve as a tool to manipulate 100% of the movements that occur in the FOREX Market.
Are you looking for Technical Indicators? All technical indicators were created from the 70's. How do you think that for more than 200 years the speculators of the past accumulated great wealth?
With the Language of Price. The best timing is given by the price itself. Indicator-generated entry signals usually occur at the wrong time.
The basis of technical analysis is human psychology. Unfortunately, human beings are not perfect and are loaded with emotions that dominate their behavior in similar situations, creating repetitive and highly predictable behavior when it occurs in masses.
The study of technical analysis through indicators and subjective training, originates and shapes the collective thinking on which all the traps that specialists execute every day to maintain their business are designed. If the majority won, the Market would cease to exist.
Although you already know that the patterns are not generated by the masses , but the repetitive behavior of the Specialists in the face of the action response of the masses. It is very easy for speculaists, because they can see everyone's orders in their books.
And they also exert a great influence on the decisions of the masses through the mass media. It is what I call the war between the Egg and the Stone , if you hit me you win and if I hit you also you win.

The Deception of Modern Technical Analysis

Through the centuries thousands of people have been able to extract great benefits from the financial markets by applying the basic strategies of technical analysis and the psychology of the Price Language.
More than 200 years ago when the markets began to operate officially, fundamental analysis predominated, which was only used by large financial institutions. As this analysis tool began to become popular, these institutions began to apply the strategies of technical analysis.
In recent decades and with the massification of internet technology, technical analysis has begun to be handled by anyone who has a computer with internet access. The same financial institutions, which have been present for more than a century and as a result of this overcrowding , establish a strategy to confuse and misinform about the true strategies of technical analysis.
This has been accomplished in the following manner. Currently there are hundreds, if not thousands of technical indicators that have been developed by so-called "gurus" of technical analysis and that sell their magic indicators packed in a "system" or "method" that usually cost thousands of dollars, or simply with the publication of a book with which they generate large profits. Double benefit.
The aim is to confuse the initiates in speculation and create the collective mentality that will originate the same behaviors over and over again. About 95% of these new entrants completely lose all the capital they invest in their early stages as investors.
Leaving them with a negative experience and creating the idea and the image that financial markets are an exclusive area for geniuses with high academic levels and that only they can produce returns in the markets year after year.
The initiate, having lost all his original capital, turns to these “gurus” for help and teachings. You spend more capital on the products they offer you and the cycle repeats itself . Obviously, the vast majority do not relapse and completely forget to re-engage in the stock markets.
I hope you have not been a victim of this drama.
Now I will show you the simplicity of a FOREX technical analysis , without the need to resort to any indicator as a tool to determine an effective entry or exit strategy when planning your operations.

The Price Cycle

Previously you studied in the FOREX strategies lesson, that the typical price cycle when it is reflected in a graph, presents four very specific phases and very easy to identify if you perform a technical analysis with common sense . These are:
  • Accumulation
  • Bullish trend
  • Distribution
  • Bearish trend
Remember also that the most effective way to constantly extract profits in the markets is by taking advantage of phases 2 and 4 (the trends). Combined with a correct reading of the collective behavior of the masses of speculators interpreting the Language of Price.
You will be surprised by the simplicity with which thousands of people around the world and over the centuries have accumulated large sums of money by drawing a few simple lines and applying responsible risk management with their capital.

How to Identify Trends?

Being able to determine the trend phases within the price cycle is the essence of technical analysis since it is these two phases that provide you with the probabilistic advantage you need to operate in the markets and obtain constant returns.
In the most plain and simple language, in the world of technical analysis, there are only two types of formations: trends and ranges.
The trends, in turn, can be bullish if they go up, or bearish if they go down. The ranges, on the other hand, can be accumulation if they are at the beginning of the cycle, or distribution if they are in the high part of the cycle. As I had indicated in the topic of FOREX strategies when describing the price cycle.
This sounds more like a play on words, but I will show you the practical definition to simplify your life and then you will apply these definitions on the graph so that everything makes more sense to you.
  • Bullish trend: a succession of major highs and major lows
  • Bearish trend: a succession of minor highs and minor lows
  • Floor Range: equal highs and varied lows
  • Ceiling Range: equal minimums and varied maximums
https://preview.redd.it/vvmsshf0guv51.png?width=600&format=png&auto=webp&s=c321679a7dcc03f7184778be86379ef442fddf91
Some key points from the graph:
  • The start of this big uptrend was detected when the last high (thick green line) of the previous downtrend was broken to the upside, ending the succession of lower highs, while exiting the lateral floor formation.
  • The succession of major lows in the uptrend (thin blue lines)
  • The succession of major highs in the uptrend (thin green lines)
  • The end of the uptrend was detected when the last low (thick blue line) of the uptrend was broken to the downside, ending the succession of higher lows, while exiting the lateral ceiling formation.
A tool that will help you sharpen your technical eye and identify trends on the chart is the Currency Scanner. This application is very effective and will provide you with a much-needed boost in your operations to identify reliable trends. At first, we are not sure how reliable a trend is. You will receive great help to find opportunities with the Currency Scanner .

The Common Sense, The Less Common of Senses

The central idea of ​​technical analysis consists in determining the price situation of a market, that is, in which phase of the pattern of its cycle it is currently conjugated with the collective thinking of the masses and the possible traps that the market would have prepared to remove. the capital at stake by the public.
To carry out a precise technical analysis, you will use the support and resistance lines, which can be static (horizontal) or dynamic (projecting an angle with respect to the horizontal axis).
Your common sense prevails here.
If you show a 10-year-old a chart, they will be able to tell you if the price is going up or down. You will most likely have no idea how to draw the lines, but you will be able to establish the general trend. Simply using your common sense.
By introducing indicators and other gadgets , the simplicity and effectiveness of the technical analysis created by your common sense evaporates.
The following graph conceptually shows you all the possible situations in which you could draw these lines to carry out your technical analysis of the place. You can clearly observe a downtrend delimited by its dynamic trend line and an uptrend on the right side with its respective dynamic delimitation.
https://preview.redd.it/5iehg0r6guv51.png?width=500&format=png&auto=webp&s=84c265a5d35da7ea970792c4bf40fe20b33bd8bd

Forex Charts Analysis

I want to remind you that the formations or patterns that develop on the charts (triangles, wedges, pennants, boxes, etc.) only work to execute trades that have initially been confirmed by the static support and resistance lines and to read the collective thinking of the masses.
Chart formations work, but you must know the Language of Price to determine when the Specialists will exploit a chartist figure, or when they will allow it to run. In fact, you will learn with the Language that you can operate a chart figure in any direction.
Much of the "mentalization" that the masses receive is to believe that the figures are made to be respected. Which is an inefficient way of working. Simply because you could wait days or months for a perfect chart figure to occur in order to perform a reliable trade. When in fact there are dozens every day.

Japanese Candles

Of all the tools you have to carry out technical analysis, perhaps the best known and most popular is the Japanese technique of candles (candlesticks).
Candles are mainly used to identify reversal points on the chart without resorting to confirmation of horizontal trend lines and only using a previous bar or candle breaks.
Its correct use is subject to a multi-time analysis (multiple temporalities) and a general evaluation of the context proposed by the market in general at the time of each scenario.
Later I will show you all the important details to take into account so that you use Japanese candles in a simple and very effective way.
Do not forget ... Trading in your beginnings based on formations (chartism) and candlestick patterns conjugated with hundreds of tools and technical indicators, constitutes the perfect path to your failure. Before using any strategy or technique I recommend you focus on learning the Price Language, which includes 3 basic things:
  • The Price: structure and dynamics
  • Market sentiment: relative strength, external shocks, etc.
  • Psychology: flexible mindset and risk acceptance
After you acquire this solid foundation, I guarantee that you will be able to trade any trading system that exists, any strategy, technique or chart figure in a profitable and consistent manner.
Specialists make money every day at the expense of the collective behavior caused by the use of these strategies and techniques. With which you will only manage to lose your capital and your time by putting the cart in front of the horse.
People who do the opposite, at best become,
... Philosophers of Speculation, or indocile Robot Assistants or Expert Advisors.
To make money in any market condition, range or trend, you must use the technical analysis based on the Price Language and combine it with a correct psychological reading of the price. This knowledge can only be acquired through proper education and lots of supervised practice. Like any other career in life.
I hope you've found this guide helpful!
submitted by kayakero to makemoneyforexreddit [link] [comments]

Good free/cheap forex hourly data?

Does anyone know a good public dataset for forex historical hourly data? I looked at the wiki but I am not satisfied with the choices.
I am currently using fxmarketapi.com which offers 10 years of daily data for free. The pro version seems cheap and provides hourly data with no time limit. Is anyone using this? Is it good?
submitted by BBDante to algotrading [link] [comments]

What you must know about getting gold trading signals

What you must know about getting gold trading signals
Trading gold is considered as a natural part of Forex trading. Gold provides a lot more opportunities in trading profits more frequently than the traditional Forex currency pairs. Traders going for just a few hundred and few thousand dollars may trade in Gold online at the most cost-effective rates. Profitable gold trading is done with the application of the analysis methods. It is also possibly filtered with doing a fundamental analysis of gold trading signals where the details will support the historical data.

Gold trading signals
There are so many ways of making a profit from gold. Investing in gold or buying gold means investing a lot of time and effort. Trading in gold means that there is a lot to buy or hold for a long period. Gold trading means buying or selling various times in a small period like a few hours, days or months.
One can invest in gold with just a few US dollars or buy gold in the form of nuggets or coins or by buying a small share in Gold bullion present in secure vaults. Physical gold is also an investment that also involves a lot of problems in storage and proof.
Gold trading allows you to make more frequent and larger profits than one can make with investing and holding gold. This happens even when there are up and down fluctuations in gold prices.
How to trade in gold
When it comes to trading at the gold price, the traders require something quite closely linked with the value of gold. It is worthwhile to note that gold trading signals play a vital role in this.
Options and futures for trading in gold
One of the important ways for trading in gold represents gold through a major and regulated exchange. This needs a deposit of nearly $ 5,000 with future brokerages. This is because the smallest of the Gold futures can expire in just early 33 ounces of Gold. It involves buying or selling just a single contract with a margin to support the trade.
Another alternative solution is to trading shares in ETF which owns Gold and where the price fluctuations mirror close fluctuations in the price of Gold. But, this needs opening an account with brokerage offering direct tradings in stock shares. The stockbrokers generally require a minimum deposit of the few thousand dollars and it also requires charging a sizable or minimum commission spread on every trade. A share of SDPR gold usually costs a person one-tenth of the value of an ounce of gold in US dollars. But this is going to be a truly expensive gold trading method.
Mining shares for trading gold
Buying and selling hare in gold mining companies is another method of gold trading. It involves consideration of various factors like speed, costs, and the minimum deposit required. It also has an added drawback that the value of gold is just one of the important trading factors driving the price for minimum sharing.
Gold trading with forex broker
Gold trading is a fast, easy and practical method of trading in gold. It is cost-effective for everyone who wants to spend a few hundred dollars on Gold trading. Several Forex Brokers offer to trade in spot Gold or the actual price of Gold in an ounce.
Talk to Gold Trading experts to learn more on Gold trading signals and various methods of profitable trading in gold.
submitted by goldtradingsignals to u/goldtradingsignals [link] [comments]

H1 Backtest of ParallaxFX's BBStoch system

Disclaimer: None of this is financial advice. I have no idea what I'm doing. Please do your own research or you will certainly lose money. I'm not a statistician, data scientist, well-seasoned trader, or anything else that would qualify me to make statements such as the below with any weight behind them. Take them for the incoherent ramblings that they are.
TL;DR at the bottom for those not interested in the details.
This is a bit of a novel, sorry about that. It was mostly for getting my own thoughts organized, but if even one person reads the whole thing I will feel incredibly accomplished.

Background

For those of you not familiar, please see the various threads on this trading system here. I can't take credit for this system, all glory goes to ParallaxFX!
I wanted to see how effective this system was at H1 for a couple of reasons: 1) My current broker is TD Ameritrade - their Forex minimum is a mini lot, and I don't feel comfortable enough yet with the risk to trade mini lots on the higher timeframes(i.e. wider pip swings) that ParallaxFX's system uses, so I wanted to see if I could scale it down. 2) I'm fairly impatient, so I don't like to wait days and days with my capital tied up just to see if a trade is going to win or lose.
This does mean it requires more active attention since you are checking for setups once an hour instead of once a day or every 4-6 hours, but the upside is that you trade more often this way so you end up winning or losing faster and moving onto the next trade. Spread does eat more of the trade this way, but I'll cover this in my data below - it ends up not being a problem.
I looked at data from 6/11 to 7/3 on all pairs with a reasonable spread(pairs listed at bottom above the TL;DR). So this represents about 3-4 weeks' worth of trading. I used mark(mid) price charts. Spreadsheet link is below for anyone that's interested.

System Details

I'm pretty much using ParallaxFX's system textbook, but since there are a few options in his writeups, I'll include all the discretionary points here:

And now for the fun. Results!

As you can see, a higher target ended up with higher profit despite a much lower winrate. This is partially just how things work out with profit targets in general, but there's an additional point to consider in our case: the spread. Since we are trading on a lower timeframe, there is less overall price movement and thus the spread takes up a much larger percentage of the trade than it would if you were trading H4, Daily or Weekly charts. You can see exactly how much it accounts for each trade in my spreadsheet if you're interested. TDA does not have the best spreads, so you could probably improve these results with another broker.
EDIT: I grabbed typical spreads from other brokers, and turns out while TDA is pretty competitive on majors, their minors/crosses are awful! IG beats them by 20-40% and Oanda beats them 30-60%! Using IG spreads for calculations increased profits considerably (another 5% on top) and Oanda spreads increased profits massively (another 15%!). Definitely going to be considering another broker than TDA for this strategy. Plus that'll allow me to trade micro-lots, so I can be more granular(and thus accurate) with my position sizing and compounding.

A Note on Spread

As you can see in the data, there were scenarios where the spread was 80% of the overall size of the trade(the size of the confirmation candle that you draw your fibonacci retracements over), which would obviously cut heavily into your profits.
Removing any trades where the spread is more than 50% of the trade width improved profits slightly without removing many trades, but this is almost certainly just coincidence on a small sample size. Going below 40% and even down to 30% starts to cut out a lot of trades for the less-common pairs, but doesn't actually change overall profits at all(~1% either way).
However, digging all the way down to 25% starts to really make some movement. Profit at the -161.8% TP level jumps up to 37.94% if you filter out anything with a spread that is more than 25% of the trade width! And this even keeps the sample size fairly large at 187 total trades.
You can get your profits all the way up to 48.43% at the -161.8% TP level if you filter all the way down to only trades where spread is less than 15% of the trade width, however your sample size gets much smaller at that point(108 trades) so I'm not sure I would trust that as being accurate in the long term.
Overall based on this data, I'm going to only take trades where the spread is less than 25% of the trade width. This may bias my trades more towards the majors, which would mean a lot more correlated trades as well(more on correlation below), but I think it is a reasonable precaution regardless.

Time of Day

Time of day had an interesting effect on trades. In a totally predictable fashion, a vast majority of setups occurred during the London and New York sessions: 5am-12pm Eastern. However, there was one outlier where there were many setups on the 11PM bar - and the winrate was about the same as the big hours in the London session. No idea why this hour in particular - anyone have any insight? That's smack in the middle of the Tokyo/Sydney overlap, not at the open or close of either.
On many of the hour slices I have a feeling I'm just dealing with small number statistics here since I didn't have a lot of data when breaking it down by individual hours. But here it is anyway - for all TP levels, these three things showed up(all in Eastern time):
I don't have any reason to think these timeframes would maintain this behavior over the long term. They're almost certainly meaningless. EDIT: When you de-dup highly correlated trades, the number of trades in these timeframes really drops, so from this data there is no reason to think these timeframes would be any different than any others in terms of winrate.
That being said, these time frames work out for me pretty well because I typically sleep 12am-7am Eastern time. So I automatically avoid the 5am-6am timeframe, and I'm awake for the majority of this system's setups.

Moving stops up to breakeven

This section goes against everything I know and have ever heard about trade management. Please someone find something wrong with my data. I'd love for someone to check my formulas, but I realize that's a pretty insane time commitment to ask of a bunch of strangers.
Anyways. What I found was that for these trades moving stops up...basically at all...actually reduced the overall profitability.
One of the data points I collected while charting was where the price retraced back to after hitting a certain milestone. i.e. once the price hit the -61.8% profit level, how far back did it retrace before hitting the -100% profit level(if at all)? And same goes for the -100% profit level - how far back did it retrace before hitting the -161.8% profit level(if at all)?
Well, some complex excel formulas later and here's what the results appear to be. Emphasis on appears because I honestly don't believe it. I must have done something wrong here, but I've gone over it a hundred times and I can't find anything out of place.
Now, you might think exactly what I did when looking at these numbers: oof, the spread killed us there right? Because even when you move your SL to 0%, you still end up paying the spread, so it's not truly "breakeven". And because we are trading on a lower timeframe, the spread can be pretty hefty right?
Well even when I manually modified the data so that the spread wasn't subtracted(i.e. "Breakeven" was truly +/- 0), things don't look a whole lot better, and still way worse than the passive trade management method of leaving your stops in place and letting it run. And that isn't even a realistic scenario because to adjust out the spread you'd have to move your stoploss inside the candle edge by at least the spread amount, meaning it would almost certainly be triggered more often than in the data I collected(which was purely based on the fib levels and mark price). Regardless, here are the numbers for that scenario:
From a literal standpoint, what I see behind this behavior is that 44 of the 69 breakeven trades(65%!) ended up being profitable to -100% after retracing deeply(but not to the original SL level), which greatly helped offset the purely losing trades better than the partial profit taken at -61.8%. And 36 went all the way back to -161.8% after a deep retracement without hitting the original SL. Anyone have any insight into this? Is this a problem with just not enough data? It seems like enough trades that a pattern should emerge, but again I'm no expert.
I also briefly looked at moving stops to other lower levels (78.6%, 61.8%, 50%, 38.2%, 23.6%), but that didn't improve things any. No hard data to share as I only took a quick look - and I still might have done something wrong overall.
The data is there to infer other strategies if anyone would like to dig in deep(more explanation on the spreadsheet below). I didn't do other combinations because the formulas got pretty complicated and I had already answered all the questions I was looking to answer.

2-Candle vs Confirmation Candle Stops

Another interesting point is that the original system has the SL level(for stop entries) just at the outer edge of the 2-candle pattern that makes up the system. Out of pure laziness, I set up my stops just based on the confirmation candle. And as it turns out, that is much a much better way to go about it.
Of the 60 purely losing trades, only 9 of them(15%) would go on to be winners with stops on the 2-candle formation. Certainly not enough to justify the extra loss and/or reduced profits you are exposing yourself to in every single other trade by setting a wider SL.
Oddly, in every single scenario where the wider stop did save the trade, it ended up going all the way to the -161.8% profit level. Still, not nearly worth it.

Correlated Trades

As I've said many times now, I'm really not qualified to be doing an analysis like this. This section in particular.
Looking at shared currency among the pairs traded, 74 of the trades are correlated. Quite a large group, but it makes sense considering the sort of moves we're looking for with this system.
This means you are opening yourself up to more risk if you were to trade on every signal since you are technically trading with the same underlying sentiment on each different pair. For example, GBP/USD and AUD/USD moving together almost certainly means it's due to USD moving both pairs, rather than GBP and AUD both moving the same size and direction coincidentally at the same time. So if you were to trade both signals, you would very likely win or lose both trades - meaning you are actually risking double what you'd normally risk(unless you halve both positions which can be a good option, and is discussed in ParallaxFX's posts and in various other places that go over pair correlation. I won't go into detail about those strategies here).
Interestingly though, 17 of those apparently correlated trades ended up with different wins/losses.
Also, looking only at trades that were correlated, winrate is 83%/70%/55% (for the three TP levels).
Does this give some indication that the same signal on multiple pairs means the signal is stronger? That there's some strong underlying sentiment driving it? Or is it just a matter of too small a sample size? The winrate isn't really much higher than the overall winrates, so that makes me doubt it is statistically significant.
One more funny tidbit: EUCAD netted the lowest overall winrate: 30% to even the -61.8% TP level on 10 trades. Seems like that is just a coincidence and not enough data, but dang that's a sucky losing streak.
EDIT: WOW I spent some time removing correlated trades manually and it changed the results quite a bit. Some thoughts on this below the results. These numbers also include the other "What I will trade" filters. I added a new worksheet to my data to show what I ended up picking.
To do this, I removed correlated trades - typically by choosing those whose spread had a lower % of the trade width since that's objective and something I can see ahead of time. Obviously I'd like to only keep the winning trades, but I won't know that during the trade. This did reduce the overall sample size down to a level that I wouldn't otherwise consider to be big enough, but since the results are generally consistent with the overall dataset, I'm not going to worry about it too much.
I may also use more discretionary methods(support/resistance, quality of indecision/confirmation candles, news/sentiment for the pairs involved, etc) to filter out correlated trades in the future. But as I've said before I'm going for a pretty mechanical system.
This brought the 3 TP levels and even the breakeven strategies much closer together in overall profit. It muted the profit from the high R:R strategies and boosted the profit from the low R:R strategies. This tells me pair correlation was skewing my data quite a bit, so I'm glad I dug in a little deeper. Fortunately my original conclusion to use the -161.8 TP level with static stops is still the winner by a good bit, so it doesn't end up changing my actions.
There were a few times where MANY (6-8) correlated pairs all came up at the same time, so it'd be a crapshoot to an extent. And the data showed this - often then won/lost together, but sometimes they did not. As an arbitrary rule, the more correlations, the more trades I did end up taking(and thus risking). For example if there were 3-5 correlations, I might take the 2 "best" trades given my criteria above. 5+ setups and I might take the best 3 trades, even if the pairs are somewhat correlated.
I have no true data to back this up, but to illustrate using one example: if AUD/JPY, AUD/USD, CAD/JPY, USD/CAD all set up at the same time (as they did, along with a few other pairs on 6/19/20 9:00 AM), can you really say that those are all the same underlying movement? There are correlations between the different correlations, and trying to filter for that seems rough. Although maybe this is a known thing, I'm still pretty green to Forex - someone please enlighten me if so! I might have to look into this more statistically, but it would be pretty complex to analyze quantitatively, so for now I'm going with my gut and just taking a few of the "best" trades out of the handful.
Overall, I'm really glad I went further on this. The boosting of the B/E strategies makes me trust my calculations on those more since they aren't so far from the passive management like they were with the raw data, and that really had me wondering what I did wrong.

What I will trade

Putting all this together, I am going to attempt to trade the following(demo for a bit to make sure I have the hang of it, then for keeps):
Looking at the data for these rules, test results are:
I'll be sure to let everyone know how it goes!

Other Technical Details

Raw Data

Here's the spreadsheet for anyone that'd like it. (EDIT: Updated some of the setups from the last few days that have fully played out now. I also noticed a few typos, but nothing major that would change the overall outcomes. Regardless, I am currently reviewing every trade to ensure they are accurate.UPDATE: Finally all done. Very few corrections, no change to results.)
I have some explanatory notes below to help everyone else understand the spiraled labyrinth of a mind that put the spreadsheet together.

Insanely detailed spreadsheet notes

For you real nerds out there. Here's an explanation of what each column means:

Pairs

  1. AUD/CAD
  2. AUD/CHF
  3. AUD/JPY
  4. AUD/NZD
  5. AUD/USD
  6. CAD/CHF
  7. CAD/JPY
  8. CHF/JPY
  9. EUAUD
  10. EUCAD
  11. EUCHF
  12. EUGBP
  13. EUJPY
  14. EUNZD
  15. EUUSD
  16. GBP/AUD
  17. GBP/CAD
  18. GBP/CHF
  19. GBP/JPY
  20. GBP/NZD
  21. GBP/USD
  22. NZD/CAD
  23. NZD/CHF
  24. NZD/JPY
  25. NZD/USD
  26. USD/CAD
  27. USD/CHF
  28. USD/JPY

TL;DR

Based on the reasonable rules I discovered in this backtest:

Demo Trading Results

Since this post, I started demo trading this system assuming a 5k capital base and risking ~1% per trade. I've added the details to my spreadsheet for anyone interested. The results are pretty similar to the backtest when you consider real-life conditions/timing are a bit different. I missed some trades due to life(work, out of the house, etc), so that brought my total # of trades and thus overall profit down, but the winrate is nearly identical. I also closed a few trades early due to various reasons(not liking the price action, seeing support/resistance emerge, etc).
A quick note is that TD's paper trade system fills at the mid price for both stop and limit orders, so I had to subtract the spread from the raw trade values to get the true profit/loss amount for each trade.
I'm heading out of town next week, then after that it'll be time to take this sucker live!

Live Trading Results

I started live-trading this system on 8/10, and almost immediately had a string of losses much longer than either my backtest or demo period. Murphy's law huh? Anyways, that has me spooked so I'm doing a longer backtest before I start risking more real money. It's going to take me a little while due to the volume of trades, but I'll likely make a new post once I feel comfortable with that and start live trading again.
submitted by ForexBorex to Forex [link] [comments]

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]

Trading economic news

The majority of this sub is focused on technical analysis. I regularly ridicule such "tea leaf readers" and advocate for trading based on fundamentals and economic news instead, so I figured I should take the time to write up something on how exactly you can trade economic news releases.
This post is long as balls so I won't be upset if you get bored and go back to your drooping dick patterns or whatever.

How economic news is released

First, it helps to know how economic news is compiled and released. Let's take Initial Jobless Claims, the number of initial claims for unemployment benefits around the United States from Sunday through Saturday. Initial in this context means the first claim for benefits made by an individual during a particular stretch of unemployment. The Initial Jobless Claims figure appears in the Department of Labor's Unemployment Insurance Weekly Claims Report, which compiles information from all of the per-state departments that report to the DOL during the week. A typical number is between 100k and 250k and it can vary quite significantly week-to-week.
The Unemployment Insurance Weekly Claims Report contains data that lags 5 days behind. For example, the Report issued on Thursday March 26th 2020 contained data about the week ending on Saturday March 21st 2020.
In the days leading up to the Report, financial companies will survey economists and run complicated mathematical models to forecast the upcoming Initial Jobless Claims figure. The results of surveyed experts is called the "consensus"; specific companies, experts, and websites will also provide their own forecasts. Different companies will release different consensuses. Usually they are pretty close (within 2-3k), but for last week's record-high Initial Jobless Claims the reported consensuses varied by up to 1M! In other words, there was essentially no consensus.
The Unemployment Insurance Weekly Claims Report is released each Thursday morning at exactly 8:30 AM ET. (On Thanksgiving the Report is released on Wednesday instead.) Media representatives gather at the Frances Perkins Building in Washington DC and are admitted to the "lockup" at 8:00 AM ET. In order to be admitted to the lockup you have to be a credentialed member of a media organization that has signed the DOL lockup agreement. The lockup room is small so there is a limited number of spots.
No phones are allowed. Reporters bring their laptops and connect to a local network; there is a master switch on the wall that prevents/enables Internet connectivity on this network. Once the doors are closed the Unemployment Insurance Weekly Claims Report is distributed, with a heading that announces it is "embargoed" (not to be released) prior to 8:30 AM. Reporters type up their analyses of the report, including extracting key figures like Initial Jobless Claims. They load their write-ups into their companies' software, which prepares to send it out as soon as Internet is enabled. At 8:30 AM the DOL representative in the room flips the wall switch and all of the laptops are connected to the Internet, releasing their write-ups to their companies and on to their companies' partners.
Many of those media companies have externally accessible APIs for distributing news. Media aggregators and squawk services (like RanSquawk and TradeTheNews) subscribe to all of these different APIs and then redistribute the key economic figures from the Report to their own subscribers within one second after Internet is enabled in the DOL lockup.
Some squawk services are text-based while others are audio-based. FinancialJuice.com provides a free audio squawk service; internally they have a paid subscription to a professional squawk service and they simply read out the latest headlines to their own listeners, subsidized by ads on the site. I've been using it for 4 months now and have been pretty happy. It usually lags behind the official release times by 1-2 seconds and occasionally they verbally flub the numbers or stutter and have to repeat, but you can't beat the price!
Important - I’m not affiliated with FinancialJuice and I’m not advocating that you use them over any other squawk. If you use them and they misspeak a number and you lose all your money don’t blame me. If anybody has any other free alternatives please share them!

How the news affects forex markets

Institutional forex traders subscribe to these squawk services and use custom software to consume the emerging data programmatically and then automatically initiate trades based on the perceived change to the fundamentals that the figures represent.
It's important to note that every institution will have "priced in" their own forecasted figures well in advance of an actual news release. Forecasts and consensuses all come out at different times in the days leading up to a news release, so by the time the news drops everybody is really only looking for an unexpected result. You can't really know what any given institution expects the value to be, but unless someone has inside information you can pretty much assume that the market has collectively priced in the experts' consensus. When the news comes out, institutions will trade based on the difference between the actual and their forecast.
Sometimes the news reflects a real change to the fundamentals with an economic effect that will change the demand for a currency, like an interest rate decision. However, in the case of the Initial Jobless Claims figure, which is a backwards-looking metric, trading is really just self-fulfilling speculation that market participants will buy dollars when unemployment is low and sell dollars when unemployment is high. Generally speaking, news that reflects a real economic shift has a bigger effect than news that only matters to speculators.
Massive and extremely fast news-based trades happen within tenths of a second on the ECNs on which institutional traders are participants. Over the next few seconds the resulting price changes trickle down to retail traders. Some economic news, like Non Farm Payroll Employment, has an effect that can last minutes to hours as "slow money" follows behind on the trend created by the "fast money". Other news, like Initial Jobless Claims, has a short impact that trails off within a couple minutes and is subsequently dwarfed by the usual pseudorandom movements in the market.
The bigger the difference between actual and consensus, the bigger the effect on any given currency pair. Since economic news releases generally relate to a single currency, the biggest and most easily predicted effects are seen on pairs where one currency is directly effected and the other is not affected at all. Personally I trade USD/JPY because the time difference between the US and Japan ensures that no news will be coming out of Japan at the same time that economic news is being released in the US.
Before deciding to trade any particular news release you should measure the historical correlation between the release (specifically, the difference between actual and consensus) and the resulting short-term change in the currency pair. Historical data for various news releases (along with historical consensus data) is readily available. You can pay to get it exported into Excel or whatever, or you can scroll through it for free on websites like TradingEconomics.com.
Let's look at two examples: Initial Jobless Claims and Non Farm Payroll Employment (NFP). I collected historical consensuses and actuals for these releases from January 2018 through the present, measured the "surprise" difference for each, and then correlated that to short-term changes in USD/JPY at the time of release using 5 second candles.
I omitted any releases that occurred simultaneously as another major release. For example, occasionally the monthly Initial Jobless Claims comes out at the exact same time as the monthly Balance of Trade figure, which is a more significant economic indicator and can be expected to dwarf the effect of the Unemployment Insurance Weekly Claims Report.
USD/JPY correlation with Initial Jobless Claims (2018 - present)
USD/JPY correlation with Non Farm Payrolls (2018 - present)
The horizontal axes on these charts is the duration (in seconds) after the news release over which correlation was calculated. The vertical axis is the Pearson correlation coefficient: +1 means that the change in USD/JPY over that duration was perfectly linearly correlated to the "surprise" in the releases; -1 means that the change in USD/JPY was perfectly linearly correlated but in the opposite direction, and 0 means that there is no correlation at all.
For Initial Jobless Claims you can see that for the first 30 seconds USD/JPY is strongly negatively correlated with the difference between consensus and actual jobless claims. That is, fewer-than-forecast jobless claims (fewer newly unemployed people than expected) strengthens the dollar and greater-than-forecast jobless claims (more newly unemployed people than expected) weakens the dollar. Correlation then trails off and changes to a moderate/weak positive correlation. I interpret this as algorithms "buying the dip" and vice versa, but I don't know for sure. From this chart it appears that you could profit by opening a trade for 15 seconds (duration with strongest correlation) that is long USD/JPY when Initial Jobless Claims is lower than the consensus and short USD/JPY when Initial Jobless Claims is higher than expected.
The chart for Non Farm Payroll looks very different. Correlation is positive (higher-than-expected payrolls strengthen the dollar and lower-than-expected payrolls weaken the dollar) and peaks at around 45 seconds, then slowly decreases as time goes on. This implies that price changes due to NFP are quite significant relative to background noise and "stick" even as normal fluctuations pick back up.
I wanted to show an example of what the USD/JPY S5 chart looks like when an "uncontested" (no other major simultaneously news release) Initial Jobless Claims and NFP drops, but unfortunately my broker's charts only go back a week. (I can pull historical data going back years through the API but to make it into a pretty chart would be a bit of work.) If anybody can get a 5-second chart of USD/JPY at March 19, 2020, UTC 12:30 and/or at February 7, 2020, UTC 13:30 let me know and I'll add it here.

Backtesting

So without too much effort we determined that (1) USD/JPY is strongly negatively correlated with the Initial Jobless Claims figure for the first 15 seconds after the release of the Unemployment Insurance Weekly Claims Report (when no other major news is being released) and also that (2) USD/JPY is strongly positively correlated with the Non Farms Payroll figure for the first 45 seconds after the release of the Employment Situation report.
Before you can assume you can profit off the news you have to backtest and consider three important parameters.
Entry speed: How quickly can you realistically enter the trade? The correlation performed above was measured from the exact moment the news was released, but realistically if you've got your finger on the trigger and your ear to the squawk it will take a few seconds to hit "Buy" or "Sell" and confirm. If 90% of the price move happens in the first second you're SOL. For back-testing purposes I assume a 5 second delay. In practice I use custom software that opens a trade with one click, and I can reliably enter a trade within 2-3 seconds after the news drops, using the FinancialJuice free squawk.
Minimum surprise: Should you trade every release or can you do better by only trading those with a big enough "surprise" factor? Backtesting will tell you whether being more selective is better long-term or not.
Hold time: The optimal time to hold the trade is not necessarily the same as the time of maximum correlation. That's a good starting point but it's not necessarily the best number. Backtesting each possible hold time will let you find the best one.
The spread: When you're only holding a position open for 30 seconds, the spread will kill you. The correlations performed above used the midpoint price, but in reality you have to buy at the ask and sell at the bid. Brokers aren't stupid and the moment volume on the ECN jumps they will widen the spread for their retail customers. The only way to determine if the news-driven price movements reliably overcome the spread is to backtest.
Stops: Personally I don't use stops, neither take-profit nor stop-loss, since I'm automatically closing the trade after a fixed (and very short) amount of time. Additionally, brokers have a minimum stop distance; the profits from scalping the news are so slim that even the nearest stops they allow will generally not get triggered.
I backtested trading these two news releases (since 2018), using a 5 second entry delay, real historical spreads, and no stops, cycling through different "surprise" thresholds and hold times to find the combination that returns the highest net profit. It's important to maximize net profit, not expected value per trade, so you don't over-optimize and reduce the total number of trades taken to one single profitable trade. If you want to get fancy you can set up a custom metric that combines number of trades, expected value, and drawdown into a single score to be maximized.
For the Initial Jobless Claims figure I found that the best combination is to hold trades open for 25 seconds (that is, open at 5 seconds elapsed and hold until 30 seconds elapsed) and only trade when the difference between consensus and actual is 7k or higher. That leads to 30 trades taken since 2018 and an expected return of... drumroll please... -0.0093 yen per unit per trade.
Yep, that's a loss of approx. $8.63 per lot.
Disappointing right? That's the spread and that's why you have to backtest. Even though the release of the Unemployment Insurance Weekly Claims Report has a strong correlation with movement in USD/JPY, it's simply not something that a retail trader can profit from.
Let's turn to the NFP. There I found that the best combination is to hold trades open for 75 seconds (that is, open at 5 seconds elapsed and hold until 80 seconds elapsed) and trade every single NFP (no minimum "surprise" threshold). That leads to 20 trades taken since 2018 and an expected return of... drumroll please... +0.1306 yen per unit per trade.
That's a profit of approx. $121.25 per lot. Not bad for 75 seconds of work! That's a +6% ROI at 50x leverage.

Make it real

If you want to do this for realsies, you need to run these numbers for all of the major economic news releases. Markit Manufacturing PMI, Factory Orders MoM, Trade Balance, PPI MoM, Export and Import Prices, Michigan Consumer Sentiment, Retail Sales MoM, Industrial Production MoM, you get the idea. You keep a list of all of the releases you want to trade, when they are released, and the ideal hold time and "surprise" threshold. A few minutes before the prescribed release time you open up your broker's software, turn on your squawk, maybe jot a few notes about consensuses and model forecasts, and get your finger on the button. At the moment you hear the release you open the trade in the correct direction, hold it (without looking at the chart!) for the required amount of time, then close it and go on with your day.
Some benefits of trading this way: * Most major economic releases come out at either 8:30 AM ET or 10:00 AM ET, and then you're done for the day. * It's easily backtestable. You can look back at the numbers and see exactly what to expect your return to be. * It's fun! Packing your trading into 30 seconds and knowing that institutions are moving billions of dollars around as fast as they can based on the exact same news you just read is thrilling. * You can wow your friends by saying things like "The St. Louis Fed had some interesting remarks on consumer spending in the latest Beige Book." * No crayons involved.
Some downsides: * It's tricky to be fast enough without writing custom software. Some broker software is very slow and requires multiple dialog boxes before a position is opened, which won't cut it. * The profits are very slim, you're not going to impress your instagram followers to join your expensive trade copying service with your 30-second twice-weekly trades. * Any friends you might wow with your boring-ass economic talking points are themselves the most boring people in the world.
I hope you enjoyed this long as fuck post and you give trading economic news a try!
submitted by thicc_dads_club 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]

FOREX TRADER & HIS WIFE EXPLAINS HOW THEY MADE 6 FIGURES ... How to Download Historial Forex Data - Metatrader 4 ... Secret to 1 Hour Forex Scalping - YouTube BEST MOVING AVERAGES: This Is What Professionals Use (For ... Make a Living in 1 Hour a Day Trading the 3 Bar Play ... Hold On 1 Hour - YouTube Finance in Excel 2 - Import and Chart Historical Stock ... YouTube Culture & Trends - Data and Cultural Analysis for You Forecasting Step 1 - Setting up the historic data - YouTube

GVI Forex Database: Free Forex Historical Data. The GVI database program provides daily free forex historical data (close high low) to the euro start (January 1, 1999). The most up to date forex data for major forex (currency) pairs and crosses downloadable to your spreadsheet. For instructions on how to access the free forex data, click here. For a more convenient access you can Download the Forex Historical Data by FTP. Get your FTP or SFTP access, via PayPal, here: For more details: Download by FTP DataFiles Last Updated at: 2020-08-31 22:00. Get Automatic Updates! You can get the Forex Historical Data Automatic Updates using Google Drive! Subscribe, via PayPal, here: Select File Format: GoogleDrive/GMail Address: For more ... How to Download Historical Forex Data For the Timeframe You Need. Sometimes you are looking for data for a particular timeframe and you cannot find it. For example, maybe you want 4 hour data, but all you can find is 1 minute data. This post will show you how to convert that data easily and quickly. Other Free Historical Forex Data Providers. While we don't endorse any of the free forex data providers below, we will disclose them to help those to keep as reference in the hope that maybe one day they might see the light and provide us with a better data source! DUKASCOPY DUKASCOPY-> You can receive live dynamic data if you have the programming skills. Once again be aware that the history ... If you want to download intraday Forex data to use with QuantShare or for external use then here a list of websites that allow you to export historical quotes for several currencies for free. Each website allows downloading rates in one or several periods and depending on the provider, data spans from few days to several years. The Raw Data - OnDemand . EUR/USD 1.17208 1.17223. GBP/USD 1.29228 1.29249 Forex historical data is a must for back testing and trading. Forex data can be compared to fuel and software that uses this data is like an engine. More info. Visual Strategy Builder. Quick and simple tool for traders to structure their trading ideas into the EAs and indicators. VSB helps traders save time and money. Get trade-ready strategies and indicators right away with NO coding skills ...

[index] [25352] [23274] [6007] [24331] [24484] [4078] [25872] [26396] [10531] [4830]

FOREX TRADER & HIS WIFE EXPLAINS HOW THEY MADE 6 FIGURES ...

Forex Trade With Us http://bit.ly/2EYIbgI Email: [email protected] P.S MY INSTAGRAM IS GONE NOW SO IF SOMEBODY WRITES YOU ITS NOT ME ALSO IM NOT ON T... Before you can start forecasting you must prepare the historical financial data in a format you can use. This video shows what the end result of that process... Discover global YouTube video trends, and cultural analysis to help you better understand the next generation of creators who are breaking new ground. How I Mastered Forex In 1 Year In this video Jay Wayne shows you what it takes to be successful in trading forex. In 1 year he was able to make 15K from a $3... How to use moving averages in trading? Using moving averages is a common strategy among traders, incorporating them in their stock trading techniques. When a... http://www.nakedforexnow.com/ Roberto shares his one hour scalping method with the Naked Forex forum members. This is a simple, indicator-free method of trad... You may not be seeing all of the Forex historical data that is available and that can be a bad thing. ★ Get clean, Daylight Savings Time adjusted MT4 data he... #Stocks #Trading #InvestingStop over complicating your trading. It doesn't have to be so confusing. Keep it simple!! Simple is profitable!https://www.livetrader... Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube. Premium Course: https://www.teachexcel.com/premium-courses/68/idiot-proof-forms-in-excel?src=youtube Learn how to Import and quickly Chart historical stock p...

http://binaryoptiontrade.artmatfatbe.tk