AxiTrader – Is it a scam? Broker Review

Free cash withdrawl on axis forex card

I brought an axis bank forex card from india where they gave me 4 free cash withdrawl swipes, but i was charged with 7% markup fee when i took cash out at airport. What are the compatible atm’s to withdraw cash!? Also i need to transfer money to irish bank account and wanted to know which one will be the best!?
submitted by sarthak021 to ireland [link] [comments]

Compatible atm’s for axis forex card

I brought an axis bank forex card from india where they gave me 4 free cash withdrawl swipes, but i was charged with 7% markup fee when i took cash out at airport. What are the compatible atm’s to withdraw cash!? Also i need to transfer money to irish bank account and wanted to know which one will be the best!?
submitted by sarthak021 to Dublin [link] [comments]

Wikipedia:Articles for deletion/Axis Forex Online

submitted by Wiki_AfD_Watch to wikipediaafdwatch [link] [comments]

axis bank forex card

The time to understand what pushes currency rates (mainly fundamentals). When news or a statement is due out they need to close out their positions and also sit out the best trading opportunities. Following the market calms down, They're educated to trade So basically they overlook the entire move and then trade the random sound that follows a price movement. About trading the wake of a price move just think ; there's not any potential. 3) More Than leveraged - Twist is a two way street. The 7) Trading Through Off Hours -- Bank FX traders, alternative 8) Trading a Money, Not a Demo -- Becoming right about a 1) Knowledge Deficiency -- Most new FOREX traders forex expert advisor do Not take Brokers want you to utilize leverage because that means disperse income since your position dimension determines the amount of spread income; the larger the position the more spread income the agent earns. 4) Relying on Others –
Actual investors play a lone hand; yet they Make their own conclusions and don't rely on others to make their trading decisions to them; there is no halfway; either trade on your own or have someone exchange for you. Currency is a transaction; failure or success is dependent upon being about the next money that makes up the pair. Dealers, and hedge funds have a huge benefit throughout hours; they could push against the monies round the final game is new tradersforex trading software become fleeced attempting to exchange signals and when no quantity is currently going through. There is only one signal during off hours -- stay out. Profit targets will create the agent wealthy. The need to"just" make a couple of hundred dollars per day by locking in tiny profits whenever possible will be a losing strategy. 6) Demo Accounts -- Broker demo accounts are a shill sport of 9) No Trading Plan - Make money isn't a trading plan.
A Two ) Overtrading - trading often with miniature and stops Brokers is a recipe for failure. When you put on a commerce commit to a fair stop loss limit that permits your trade a opportunity to develop. Sorts; they're less sensitive as accounts and therefore give the impression that time sensitive trading strategies, such as average crossovers can be always profitably traded; after you start dealing with real money reality is quick to install. Trading plan is a blueprint for trading achievement;best forex brokers it spells out exactly what you see your advantage as being; even if you don't have an advantage, you do not have a plan, and probably you will end up a statistic (a part of this 95 percent of traders who lose and quit). Difference between buying and purchasing. What was A cost quickly becomes a top cost when you are trading from the trend.
submitted by usamaali5050 to u/usamaali5050 [link] [comments]

Buy Forex Online

Buy Forex Online: With Axis Forex online send money in 100+ currencies to any bank account in the world. Buy forex card and go cashless across the globe
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doubt about forex trading

good night, can someone clarify a doubt? can we use these currency indices to rely on forex market entry? example, euro index exy -0.14% / Australian dollar index axy 0.22%, could we rely on a sale in eur / aud?
https://br.tradingview.com/markets/currencies/indices-all/
submitted by Trader_Kamikaze to Forex [link] [comments]

doubt about forex trading

good night, can someone clarify a doubt? can we use these currency indices to rely on forex market entry? example, euro index exy -0.14% / Australian dollar index axy 0.22%, could we rely on a sale in eur / aud?
https://br.tradingview.com/markets/currencies/indices-all/
submitted by Trader_Kamikaze to Daytrading [link] [comments]

Replacing Values in a Dataframe (Conditional)

Hi,
I'm pretty new to python and had some trouble when trying to replace the values on a dataframe conditional on the values of another column. I've used the code below
if np.logical_or(forex_pairs.loc[:, 'Tick Name'] == 'JPY=X', forex_pairs.loc[:, 'Tick Name'] == 'CAD=X').all(): forex_pairs = forex_pairs.loc[:, 'Open'].apply(lambda x: 1/x, axis=1) forex_pairs.loc[:, ['Adj Close']] = 1 / forex_pairs[:, 'Adj Close'] 
I was previously getting an error and added 'all()' to the condition though I suspect that may still be the reason my values are not updating as expected. As matters stand I'm not getting any errors but the values for the 'Adj Close' column aren't updating as expected.
As you can see I've tried using the apply method as well as directly adjusting the values. I've also tried using .isin as well as simply using the | operator for the initial condition. Any help on the matter would be appreciated.
submitted by a-to-b_via_z to learnpython [link] [comments]

125 days strong and counting

Last posted an update when I was 3 weeks in here.
Bit of a TL;DR for going decaf. My caffeine consumption came from pre-workouts, caffeine tablets and energy drinks. Right before I went on decaf I was probably consuming close to 1g of caffeine a day (2 tablets at 200mg per tablet in a morning, 3 scoops of pre-workout at 250mg per scoop at the gym, and maybe an energy drink through the day/or other fizzy drinks containing caffeine).
Got to a point where I was feeling nothing off that amount besides a bad night's sleep and a wave of anxiety.
Went cold turkey and started to notice improvements straight away. Sleep was noticeably better. Weirdly when I was taking that much pre-workout at the gym around 7pm, I never had a problem actually getting to sleep so I always figured I could handle the caffeine well. Just could never figure out why I felt worse the morning after haha
As the days and weeks went on noticed more improvements like more stable levels of energy through the day, more motivation, better feeling of well being, improved mental health etc. All positives.
Even now over 4 months later still feel like a million times more productive than I was before. I got furloughed from work in April, and since then me and a few friends set up a small online business, I've done jobs around the house I'd been putting off for months and years, picked up some new hobbies/skills such as forex trading.
Mood has also been a big one that's improved. There'd be times I'd be short and snap at my girlfriend. We'd get in to arguments because I'd have a short temper and such, and would just lead to putting a downer on some days because I snapped at something stupid. Feel a lot calmer and a hell of a lot less in terms of mood swings now.
My diet and sleep regime has always been strict with my powerlifting training, which I feel attributes to the lack of side effects in the early days. I think it was the 3rd day I really noticed a difference and never really got any cravings for a caffeine "pick-me-up". I still have the caffeine tablets in my supplement cupboard and not thought about taking them once.
My morning supplement stack is:
Multivitamin Fish oil Vitamin D 6mg Boron 250mg vitamin B6 powder Pinch of Himalayan salt mixed in to glass of lime juice
The lime juice/himalayan salt/vitamin b6 powder is my go-to morning drink for an energy boost now. I promise you this will give you a buzz like your morning coffee used to.
The multivitamin and fish oil are pretty basic supplements to take. Vitamin D I was already taking from the winter and just keep it in my stack. Boron as I think it's a hard mineral to get from food, and has some great benefits in hormone levels in men that studies have shown. High dose of vitamin b6 for its role with hormone balance as well, and as well as its role in the functioning of HPA axis helping regulate adrenal and stress response.
Pre-bed supplements are just 5-HTP and ZMA.
Opted for a stim free pre-workout at the gym as well, and feel much better on it with much more energy throughout my workout and all around feel like my performance in the gym has much improved. I've read studies on how caffeine and it's role on cortisol can then have a negative effect on testosterone levels, coupled with poor night's sleep, so I'm attributing it to a much better hormone balance now.
Giving up decaf has been great for me and I've advised family and friends to try it too, but I think the improvements in day-to-day life are only as good as what your day-to-day regime is in terms of diet and sleep and water in take. I drink about 4 litres a day minimum, for example. I think if you're lacking in these areas, then you're gonna still have those dips in energy etc where before you'd cover it up with caffeine.
Hoping it's a good read for someone anyway!
submitted by Harrysoon to decaf [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?
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Best Forex Brokers In South Africa

The best forex brokers in South Africa that accept South African traders. In this post, we cover how you can choose the best broker and get a great service from them. The most important aspect is the safekeeping of your funds and with this video that is attached, I hope to help you avoid scams and spot disloyal brokers.
Here is a list of the top Forex Brokers in South Africa:
  1. FXTM - https://www.forextime.com/?form=JeQn
  2. FxPro - https://direct.fxpro.group/partne77313539?lang=en
  3. ForexMart - https://www.forexmart.com/register?id=SVEFC
  4. IQ Options - https://affiliate.iqoption.com/redi?aff=154117&instrument=forex
  5. Avatrade - https://www.avatrade.com/?tag=127782
  6. FBS Broker - https://fbs.com/?ppu=12475166
  7. AxiTrader - https://record.axiaffiliates.com/\_XKZLxBCMq62u11z-n\_bVh2Nd7ZgqdRLk/1
  8. XM Broker - https://clicks.pipaffiliates.com/c?c=487158&l=en&p=0
  9. FXGiants - https://www.fxgiants.com/en/register?utm\_source=13120701&utm\_medium=ib\_link&utm\_campaign=IB
  10. VantageFX - http://go.vantagefx.com/visit/?bta=37691&brand=vantagefx
Learn how to trade Forex for free; stop paying for expensive courses or mentors; free courses, from beginner to advanced:
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Read the best forex brokers article on our website:
https://www.xyzpocket.com/best-forex-brokers-in-south-africa-2020/

Here is the full video on Youtube:
https://youtu.be/WZ2spvxHuag
submitted by xyzpocket to u/xyzpocket [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]

Reviews of banking services and products thread for month of June, 2019 - Request or post reviews here.

You can ask for a general review of a particular product or service that you are researching - "Is bank X good? Is it recommended for basic services no-frills accounts?", but please avoid asking for personal advice. The discussion is for consumption by a broader audience. For advice regarding your personal situation (like "I am Sharmaji ka beta, and my family is pressurising me to take a home loan, what would you suggest?"), the bi-weekly advice thread is recommended. Personal advice queries and comments will be removed to ensure that older threads provide sufficient historical reviews on products and services.
Reviews posted here can be relied upon by newcomers to evaluate customer experience. Please confine the thread only to reviews or requests for reviews of products and services.
submitted by AutoModerator to IndiaInvestments [link] [comments]

Forex

Why the fuck does anyone trade Forex? I keep seeing these YouTube videos where some 20 year old is talking authoritatively about technical analysis, and it looks like they’re getting in early on these huge price fluctuations. But then you squint at the Y axis and the price has gone from like .702 to .703 for the entire day. Fuck that!
submitted by Prodigal_Moon to wallstreetbets [link] [comments]

Etoro And Axi Trader Reviews

Website: Tumblr - Etoro And Axi Trader Reviews

Reviews about CFD and Forex brokers like eToro and AxiTrader. Watch out for great trading reviews.
submitted by EtoroAxiTrader to u/EtoroAxiTrader [link] [comments]

Best Forex Broker Comparison 2020 - IC Markets | FxPro | AxiTrader

With our deep research based on various aspects we found best forex broker in 2020 like IC Markets, AxiTrader and more - TopFXBrokersReview.com
submitted by ICmarketsreview to u/ICmarketsreview [link] [comments]

Is AXI trustworthy?

I am new to Forex and am currently shopping for a good broker. I've heard stories about scamming broker who run away with clients money, or broker that trade against the client. I've narrowed down my research and found out AXI to be matching my requirements and expectations.
However, a quick search here reveals not much information about this broker. If anyone has used them before, care to share your experience?

The broker I'm talking about: https://www.axitrader.com/

Looking to put in $50,000 of my hard-earned money but worried they will run away one day with my savings.
submitted by Netsoft24 to Forex [link] [comments]

Wall Street Week Ahead for the trading week beginning April 15th, 2019

Hey what's happening wallstreetbets! Good morning and happy Saturday to all of you on this subreddit. I hope everyone made out pretty nicely in the market last week, and are ready for the new trading week ahead.
Here is everything you need to know to get you ready for the trading week beginning April 15th, 2019.

Some optimistic corporate outlooks in the week ahead could lift the stock market to a record - (Source)

It’s now up to corporate America to reveal whether the U.S. economy simply hit a soft patch this winter, as many suspect, or is on the verge of falling into an even deeper rut.
Earnings from a broad swath of industries, like financials, technology, transportation and consumer products roll out in the coming week as the first-quarter earnings season gets underway. According to Refinitiv, earnings are expected to decline 2.3 percent in the first negative quarter in three years, but it is business leaders’ comments on the future outlook that are even more important.
Commentary and guidance is always a big deal, but this quarter it is critical. Analysts do not agree on whether the first quarter earnings season represents the trough, or even whether the second quarter will see a gain or decline in profit growth.
At the same time, economic data, like March’s jobs report, are beginning to turn more positive, and first quarter growth has quickly gone from forecasts of nearly flattish back in January to now around 2%, on the back of better March releases. The economic data has been uneven, in part because of the government shutdown, but it has yet to prove the economy is back on track.
“The market has been very sensitive to data that’s been picking up. The market is reflecting that, even though there’s talk of an earnings recession. What you don’t want is an earnings recession leading to an economic recession. If companies believe there’s a major downturn in revenue growth, they stop spending and ultimately they fire people and that leads to a recession,” said Quincy Krosby, chief market strategist at Prudential Financial.
The stock market is also at an important inflection point, with the major indexes closing in on all-time highs. The S&P 500 pressed through 2,900 Friday, seen as a point of psychological resistance. The S&P ended the week at 2,907, for a weekly gain of 0.5%. The next target traders are watching is the closing high 2,930 on the S&P. The all-time high was an intraday 2,940, reached on Sept. 21.
Earnings season got off to a good start with J.P. Morgan Chase’s quarterly earnings report Friday. CEO Jamie Dimon was very positive, saying the U.S. economy’s expansion “could go on for years.”
“If you look at the American economy, the consumer is in good shape, balance sheets are in good shape, people are going back to the workforce, companies have plenty of capital,” Dimon told analysts during a conference call. J.P. Morgan stock rose sharply, after its record profits beat analysts’ expectations.
“Positive guidance, that’s what the market needs. [The S&P] could cross 2,900, but then again it could pull back,” said Krosby, but she said the momentum has been pointing higher. “The market has basically been endorsing 2,900 and beyond.”
Krosby said important upcoming economic reports include Empire State and Philadelphia Fed surveys Monday and Thursday respectively, for a current look at manufacturing activity in New York and the Mid-Atlantic region. There is also industrial production and retail sales Tuesday.
“Jobs data was strong. Everybody was really negative on the economy, and now we’re getting pleasant surprises,” said Marc Chandler, Bannockburn Global Forex chief market strategist. The economy added 196,000 jobs in March, bringing the monthly average to 180,000 over the past three months, even with February’s shockingly low 33,000 payrolls.
Chandler said industrial production and other data should show an improved trend over last month.
As stocks have shaken off growth fears, bond yields have also moved higher. The 10-year Treasury note was yielding 2.55% Friday, well above the lows of 2.34% reached on March 28.

This past week saw the following moves in the S&P:

(CLICK HERE FOR THE FULL S&P TREE MAP FOR THE PAST WEEK!)

Major Indices for this past week:

(CLICK HERE FOR THE MAJOR INDICES FOR THE PAST WEEK!)

Major Futures Markets as of Friday's close:

(CLICK HERE FOR THE MAJOR FUTURES INDICES AS OF FRIDAY!)

Economic Calendar for the Week Ahead:

(CLICK HERE FOR THE FULL ECONOMIC CALENDAR FOR THE WEEK AHEAD!)

Sector Performance WTD, MTD, YTD:

(CLICK HERE FOR FRIDAY'S PERFORMANCE!)
(CLICK HERE FOR THE WEEK-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE MONTH-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE 3-MONTH PERFORMANCE!)
(CLICK HERE FOR THE YEAR-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE 52-WEEK PERFORMANCE!)

Percentage Changes for the Major Indices, WTD, MTD, QTD, YTD as of Friday's close:

(CLICK HERE FOR THE CHART!)

S&P Sectors for the Past Week:

(CLICK HERE FOR THE CHART!)

Major Indices Pullback/Correction Levels as of Friday's close:

(CLICK HERE FOR THE CHART!)

Major Indices Rally Levels as of Friday's close:

(CLICK HERE FOR THE CHART!)

Most Anticipated Earnings Releases for this week:

(CLICK HERE FOR THE CHART!)

Here are the upcoming IPO's for this week:

(CLICK HERE FOR THE CHART!)

Friday's Stock Analyst Upgrades & Downgrades:

(CLICK HERE FOR CHART LINK #1!)
(CLICK HERE FOR CHART LINK #2!)

Typical April Trading: Mid-Month Surge Stronger Second Half

Over the recent 21 years April is the top-ranked month for DJIA. April ranks #3 S&P 500, #5 for NASDAQ, #2 for Russell 1000 and #4 for Russell 2000. Average gains over the period range from a low of 1.19% by NASDAQ to a respectable 2.29% by DJIA. The first half of April used to outperform the second half, but since 1994 that has no longer been the case. In fact the second half of April is stronger over the recent 21-year period.
Early April trading is usually positive for the first 4 days then flattens off until mid-month. Then the market tends to surge from the tenth to the fifteenth trading days. DJIA tends to close out the month strongest with NASDAQ closing weakest.
Except for DJIA weighed down by Boeing (BA), stocks are having an above average month so far, which is quite typical in Pre-Election years where April has tended to be even stronger.
(CLICK HERE FOR THE CHART!)

Claims Bode Well For Equities

Earlier today on our Twitter account, we retweeted a chart from Bloomberg's Joe Weisenthal of inverted Jobless Claims versus the S&P 500. We have used this chart as an argument for the bullish case for the past several years. As we mentioned in a blog post this morning, Initial Jobless Claims came in earlier this week with a sizable drop off, down to 196K versus last week's revised 204K and expectations of 210K. This week's print was not only a new low for the current cycle, it is also the lowest reading since 1969. That sort of new low could be a good sign for equities. As shown in the chart below, claims and the S&P have mirrored each other since bottoming following the financial crisis. (In the chart, we have inverted claims on the right axis.) As the S&P 500 inches its way back towards all time highs, so has claims towards new lows. Additionally, with recent low prints for claims bucking what had previously appeared to be an upside trend reversal, the bullish case for the S&P 500 is growing.
(CLICK HERE FOR THE CHART!)

Optimism Growing Again

The American Association of Individual Investors updated their weekly investor sentiment survey this morning and the results are very similar to the final days of February with bullish sentiment around 40%, bearish down near 20%, and neutral once again in the upper 30's. Up from 35.02% last week, bullish sentiment has crossed back over the 40% threshold; the first time it has done so since the previously mentioned week in February. While bullish sentiment is sitting a couple of points above the historical average, this is still several percentage points from reaching any sort of extreme level (more than one standard deviation above the aforementioned average). For that to happen, bullish sentiment would have to come in above 48.36%. If that occurs, then it could be a sign that investors are getting a little too optimistic.
(CLICK HERE FOR THE CHART!)
Bearish sentiment, on the other hand, fell all the way back down to 20.38% this week, the lowest since its 20% reading on February 28th. That is around 10% less than the historical average for bearish sentiment. That is also at the lower end of the range bearish sentiment has stayed within in the past decade.
(CLICK HERE FOR THE CHART!)
Neutral sentiment has still yet to have moved above or below the upper 30's coming in at 39.33% this week after falling from similar levels down to 36.71% last week. That is the third time in the past month that neutral sentiment has come in between 39% and 40%.
(CLICK HERE FOR THE CHART!)

The December Low Indicator Has Bulls Smiling

After the best first quarter for the S&P 500 Index since 1998, the big question is: What happens next? We’ve already discussed why a good start to a year could lead to more gains (here and here), but today we will take a look at another potentially positive signal.
The December Low Indicator was created in the 1970s by Lucien Hooper, a former Forbes columnist and Wall Street analyst. Simply put, the indicator says that if the S&P 500 closes beneath the December low during the first quarter, it’s a warning sign for potential weakness over the balance of the year. The flipside is if it doesn’t, good times could be coming. Given the S&P 500 just went all of the first quarter without closing beneath the December 24 low, it’s worth taking a deeper dive.
Sure enough, there appears to be some truth to this concept. “The December low indicator seems quite simple, but it has a tremendous track record,” explained LPL Senior Market Strategist Ryan Detrick. “When the S&P 500 stays above the December lows throughout the first quarter, the full year has been higher an incredible 34 out of the last 34 times, which bodes well for 2019.” In fact, this warning even worked last year, as it triggered in the first quarter of 2018 and eventually played out during the big fourth quarter sell-off.
As our LPL Chart of the Day shows, when the S&P 500 stays above the December lows in the first quarter, the full year does quite well.
(CLICK HERE FOR THE CHART!)

STOCK MARKET VIDEO: Stock Market Analysis Video for April 12th, 2019

(CLICK HERE FOR THE YOUTUBE VIDEO!)

STOCK MARKET VIDEO: Are Stocks Going UP Next Week? | Earnings Season Kick-Off! | ShadowTrader Video 04.14.19

(CLICK HERE FOR THE YOUTUBE VIDEO!)
Here are the most notable companies (tickers) reporting earnings in this upcoming trading week ahead-
  • $NFLX
  • $BAC
  • $C
  • $GS
  • $UNH
  • $JNJ
  • $APHA
  • $PIXY
  • $SCHW
  • $MTB
  • $PGR
  • $IBM
  • $ABT
  • $MS
  • $PEP
  • $BLK
  • $CMA
  • $TEAM
  • $CSX
  • $KMI
  • $AA
  • $URI
  • $ERIC
  • $WIT
  • $KSU
  • $UAL
  • $PLD
  • $ASML
  • $USB
  • $BK
  • $TXT
  • $FHN
  • $JBHT
  • $ISRG
  • $PNFP
  • $PIR
  • $LVS
  • $MLNX
  • $MBWM
  • $CCI
  • $SKX
  • $BMI
(CLICK HERE FOR NEXT WEEK'S MOST NOTABLE EARNINGS RELEASES!)
(CLICK HERE FOR NEXT WEEK'S HIGHEST VOLATILITY EARNINGS RELEASES!)
(CLICK HERE FOR MONDAY MORNING'S MOST NOTABLE EARNINGS RELEASES!)
(CLICK HERE FOR MOST ANTICIPATED EARNINGS RELEASES FOR THE NEXT 5 WEEKS!)
Below are some of the notable companies coming out with earnings releases this upcoming trading week ahead which includes the date/time of release & consensus estimates courtesy of Earnings Whispers:

Monday 4.15.19 Before Market Open:

(CLICK HERE FOR MONDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Monday 4.15.19 After Market Close:

(CLICK HERE FOR MONDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!)

Tuesday 4.16.19 Before Market Open:

(CLICK HERE FOR TUESDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Tuesday 4.16.19 After Market Close:

(CLICK HERE FOR TUESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!)

Wednesday 4.17.19 Before Market Open:

(CLICK HERE FOR WEDNESDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Wednesday 4.17.19 After Market Close:

(CLICK HERE FOR WEDNESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!)

Thursday 4.18.19 Before Market Open:

([CLICK HERE FOR THURSDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!]())
N/A.

Thursday 4.18.19 After Market Close:

([CLICK HERE FOR THURSDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!]())
N/A.

Friday 4.19.19 Before Market Open:

([CLICK HERE FOR FRIDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!]())
NONE. (U.S. MARKETS CLOSED IN OBSERVANCE OF GOOD FRIDAY).

Friday 4.19.19 After Market Close:

([CLICK HERE FOR FRIDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!]())
NONE. (U.S. MARKETS CLOSED IN OBSERVANCE OF GOOD FRIDAY).

Netflix, Inc. $351.14

Netflix, Inc. (NFLX) is confirmed to report earnings at approximately 4:00 PM ET on Tuesday, April 16, 2019. The consensus earnings estimate is $0.57 per share on revenue of $4.49 billion and the Earnings Whisper ® number is $0.60 per share. Investor sentiment going into the company's earnings release has 66% expecting an earnings beat The company's guidance was for earnings of approximately $0.56 per share. Consensus estimates are for earnings to decline year-over-year by 10.94% with revenue increasing by 21.32%. Short interest has increased by 10.5% since the company's last earnings release while the stock has drifted lower by 0.2% from its open following the earnings release to be 4.2% above its 200 day moving average of $336.83. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, April 12, 2019 there was some notable buying of 7,925 contracts of the $400.00 call expiring on Thursday, April 18, 2019. Option traders are pricing in a 4.3% move on earnings and the stock has averaged a 5.9% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Bank of America Corp. $30.17

Bank of America Corp. (BAC) is confirmed to report earnings at approximately 6:45 AM ET on Tuesday, April 16, 2019. The consensus earnings estimate is $0.65 per share on revenue of $23.29 billion and the Earnings Whisper ® number is $0.67 per share. Investor sentiment going into the company's earnings release has 69% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 4.84% with revenue decreasing by 14.11%. Short interest has decreased by 25.1% since the company's last earnings release while the stock has drifted higher by 7.3% from its open following the earnings release to be 5.3% above its 200 day moving average of $28.66. Overall earnings estimates have been revised higher since the company's last earnings release. On Tuesday, April 9, 2019 there was some notable buying of 32,141 contracts of the $27.00 put and 32,059 contracts of the $32.00 call expiring on Friday, August 16, 2019. Option traders are pricing in a 2.6% move on earnings and the stock has averaged a 2.6% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Citigroup, Inc. $67.42

Citigroup, Inc. (C) is confirmed to report earnings at approximately 8:00 AM ET on Monday, April 15, 2019. The consensus earnings estimate is $1.78 per share on revenue of $18.71 billion and the Earnings Whisper ® number is $1.84 per share. Investor sentiment going into the company's earnings release has 58% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 5.95% with revenue decreasing by 22.15%. Short interest has decreased by 12.5% since the company's last earnings release while the stock has drifted higher by 20.2% from its open following the earnings release to be 3.2% above its 200 day moving average of $65.31. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, March 29, 2019 there was some notable buying of 17,657 contracts of the $59.00 put expiring on Thursday, April 18, 2019. Option traders are pricing in a 2.3% move on earnings and the stock has averaged a 2.3% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Goldman Sachs Group, Inc. $207.84

Goldman Sachs Group, Inc. (GS) is confirmed to report earnings at approximately 7:40 AM ET on Monday, April 15, 2019. The consensus earnings estimate is $4.74 per share on revenue of $8.97 billion and the Earnings Whisper ® number is $5.21 per share. Investor sentiment going into the company's earnings release has 60% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 31.80% with revenue decreasing by 10.62%. Short interest has increased by 9.7% since the company's last earnings release while the stock has drifted higher by 11.1% from its open following the earnings release to be 0.1% below its 200 day moving average of $208.02. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, April 12, 2019 there was some notable buying of 6,817 contracts of the $220.00 call and 5,555 contracts of the $195.00 put expiring on Thursday, April 18, 2019. Option traders are pricing in a 2.7% move on earnings and the stock has averaged a 3.1% move in recent quarters.

(CLICK HERE FOR THE CHART!)

UnitedHealth Group, Inc. $223.22

UnitedHealth Group, Inc. (UNH) is confirmed to report earnings at approximately 5:55 AM ET on Tuesday, April 16, 2019. The consensus earnings estimate is $3.59 per share on revenue of $59.66 billion and the Earnings Whisper ® number is $3.66 per share. Investor sentiment going into the company's earnings release has 72% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 18.09% with revenue increasing by 8.10%. Short interest has decreased by 1.1% since the company's last earnings release while the stock has drifted lower by 10.7% from its open following the earnings release to be 13.4% below its 200 day moving average of $257.63. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, April 12, 2019 there was some notable buying of 4,190 contracts of the $227.50 call and 3,732 contracts of the $227.50 put expiring on Thursday, April 18, 2019. Option traders are pricing in a 3.0% move on earnings and the stock has averaged a 3.6% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Johnson & Johnson $135.98

Johnson & Johnson (JNJ) is confirmed to report earnings at approximately 6:40 AM ET on Tuesday, April 16, 2019. The consensus earnings estimate is $2.03 per share on revenue of $19.63 billion and the Earnings Whisper ® number is $2.06 per share. Investor sentiment going into the company's earnings release has 48% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 1.46% with revenue decreasing by 1.89%. Short interest has decreased by 22.0% since the company's last earnings release while the stock has drifted higher by 6.1% from its open following the earnings release to be 1.0% above its 200 day moving average of $134.65. Overall earnings estimates have been revised lower since the company's last earnings release. On Monday, April 8, 2019 there was some notable buying of 1,510 contracts of the $170.00 call expiring on Friday, January 17, 2020. Option traders are pricing in a 1.9% move on earnings and the stock has averaged a 2.6% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Aphria Inc. $10.10

Aphria Inc. (APHA) is confirmed to report earnings at approximately 7:05 AM ET on Monday, April 15, 2019. The consensus estimate is for a loss of $0.04 per share on revenue of $41.11 million. Investor sentiment going into the company's earnings release has 70% expecting an earnings beat. Short interest has decreased by 26.9% since the company's last earnings release while the stock has drifted higher by 57.1% from its open following the earnings release. On Thursday, April 11, 2019 there was some notable buying of 1,595 contracts of the $9.50 put expiring on Thursday, April 18, 2019. Option traders are pricing in a 6.9% move on earnings and the stock has averaged a 5.2% move in recent quarters.

(CLICK HERE FOR THE CHART!)

ShiftPixy, Inc. $1.20

ShiftPixy, Inc. (PIXY) is confirmed to report earnings at approximately 8:00 AM ET on Monday, April 15, 2019. The consensus estimate is for a loss of $0.10 per share on revenue of $14.84 million. Investor sentiment going into the company's earnings release has 59% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 11.11% with revenue increasing by 88.16%. Short interest has decreased by 14.8% since the company's last earnings release while the stock has drifted lower by 34.8% from its open following the earnings release to be 54.0% below its 200 day moving average of $2.61. Overall earnings estimates have been revised lower since the company's last earnings release. The stock has averaged a 27.8% move on earnings in recent quarters.

(CLICK HERE FOR THE CHART!)

Charles Schwab Corp. $45.35

Charles Schwab Corp. (SCHW) is confirmed to report earnings at approximately 8:45 AM ET on Monday, April 15, 2019. The consensus earnings estimate is $0.66 per share on revenue of $2.70 billion and the Earnings Whisper ® number is $0.68 per share. Investor sentiment going into the company's earnings release has 61% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 20.00% with revenue increasing by 12.59%. Short interest has decreased by 5.4% since the company's last earnings release while the stock has drifted lower by 0.7% from its open following the earnings release to be 3.8% below its 200 day moving average of $47.14. Overall earnings estimates have been revised lower since the company's last earnings release. On Wednesday, April 10, 2019 there was some notable buying of 3,000 contracts of the $43.50 put expiring on Thursday, April 18, 2019. Option traders are pricing in a 2.6% move on earnings and the stock has averaged a 2.9% move in recent quarters.

(CLICK HERE FOR THE CHART!)

M&T Bank Corp $167.76

M&T Bank Corp (MTB) is confirmed to report earnings at approximately 6:35 AM ET on Monday, April 15, 2019. The consensus earnings estimate is $3.29 per share on revenue of $1.50 billion and the Earnings Whisper ® number is $3.35 per share. Investor sentiment going into the company's earnings release has 48% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 11.90% with revenue decreasing by 2.65%. Short interest has decreased by 2.4% since the company's last earnings release while the stock has drifted higher by 5.6% from its open following the earnings release to be 1.6% above its 200 day moving average of $165.09. Overall earnings estimates have been revised higher since the company's last earnings release. On Friday, April 12, 2019 there was some notable buying of 841 contracts of the $165.00 put expiring on Thursday, April 18, 2019. Option traders are pricing in a 3.3% move on earnings and the stock has averaged a 3.0% move in recent quarters.

(CLICK HERE FOR THE CHART!)

DISCUSS!

What are you all watching for in this upcoming trading week ahead?
Have a fantastic Sunday and a great trading week ahead to everyone here on wallstreetbets!
submitted by bigbear0083 to wallstreetbets [link] [comments]

Just thoughts after 3 years of Forex

You have a chart in front of you, a buy and sell button respectively, this basically gives you 50% of probability that if you open a buy or sell at any time your action will end up making money after sometime. "Sometime" adds new variables to the game and makes it more complicated: is knowing the direction for sometime, the market needs to move to increase profit or increase loss. You then go into the volatility reports for lets say EURUSD, and you see that during London session and New York session, it's the time where price statistically moves more, so there is where you want to be if you want to day trade (open and close trades in the same day), this can be also noticed if you zoom out for example M5 of almost any pairs, volume will be bigger in this two sessions.
Ok so you have statistics of at what times it may move big, you also know that it may not move or it may range the whole day, but definitely there is going to be big moves. If you analyse the past, with only for example a 30 MA, you will see the 50/50. What else do you need? To be in most of the times you are humanly able following the trend, if price is averaging over any average you want and see useful to add, why would you bet that is not going to average oveunder it for some more time? Add a 1000 MA, what if you waited for each cross and traded it trend following? Here then comes a "must": money management = risk = stay in the game for long = you can lose multiple times and long term it's hard that you even lose 10% of your account. Start with the minimum risk, demo in 0.01. Why? If you can consistently win with 0.01 it's just a matter of optimizing the statistics your demo trading over time has thrown, money will come, lots of it, the amount your confidence as a trader can bear and ultimately because trading is so big and involves almost all of the aspects of your life and personality, your confidence as a human being can bear. But this is skipping to psychology.
So, volatility, an average of some x periods to get the trend (not of the market but of the x periods in relation to the market and time, x is important, x can't be 2000 in M5), money management and time to play. What else? When will you close the trades? There are multiple ways each one with pros and cons, price crossing the average (too slow sometimes), price hitting fibos (gotta have a method for plotting fibos the same time each time, check the "Do it yourself" section, 61.8 a.k.a 0.618 and 61.8, god made numbers), being this last one the one I like. Price plays with these levels, nothing magical about it, is just "nature", a forgotten and violated term these days IMHO. There it is, when to open with probability, when to close methodically, how to play your money so you last as long as you don't fail too much repeatedly. This results after studying Ralph Elliot's, W Gann's, Wykcoff's, Pesavento's, Gartley's, Carney's and some others WAY TO LOOK AT THE MARKET. They all found structure in price actions over time, they all understood natural patterns that occur, they all sat in front of some charts, used or created tools for handling those charts, in the end everything is so simple and easy that our minds, past, maybe present, the t.v, Instagram won't lets us succeed. Why? Your mind is your biggest enemy of what you want to do in life. How? Your past in someway defines you, defines what you are looking for in life.

Psychology, establishment and relativity.

Mark Douglas introduced me (in his videos) to a new way of thinking towards trading. He speaks about beliefs, how they drives us in each decision we make each day from as simple as making coffee, having a bath,
dressing nice or dressing in the first place. Beliefs are what makes your past define you today and tomorrow if you keep believing them. A wrong belief of yourself, a wrong belief of the world outside your eyes,
a wrong belief of the market (you keep trusting other people about the market, in the end after loosing you trust no one), this leads to what lot's of gurus outside the financial world, will say: trust in
yourself. Forex gurus tell you to trust them, pay them so they'll unveil the secrets. No money can change your wrong mindset, that feeling in your chest each time you think about possibilities with Forex (euphoria, dangerous as f not only in forex), that belief that some magical indicator will come, some hidden code of some pro advanced indi if you are more realist, some guy with the answer. You are very alone in this world my friend, money will tear countries apart, cities apart, families apart. People will sell their face for some money, their name, in the end corrupt politicians that don't get caught will enjoy their feasts everyday, with their innocent childs, who see their daddy as their hero, this is not a fair world, what's fair in the first place? A human creation so we can live together in peace, but that's not reality we all know. We are evoluted chimps, we still feel what the cheetah feel's in front of his prey, we share 90% of DNA with most of mammals, as intelligent as we like to think we are, we can't delete our nature, our hunger, our fear, our needs, our instinct (the one rushes adrenaline when you know you are losing too much), because deep inside we all know whats right or wrong, the difference between people is whether you hear that voice, or you shut it with a nicer version. 90% of people in forex (not real statistics, the real number varies from broker hmmm brokers another shady topic), prefers the nice version long term, which results not profitable basically.
It's your version (you + all gurus you've seen) not the version the market shows and the deep-you tries to alert.
I headed far from an important topic: gurus telling to trust them, a killer market killing you, lots of misinformation around the WWW and you not believing in yourself. What else do you have to face the markets?
You are in a triangle: broker (not so hard to get a nice one), market and yourself. Everything else is a lie until the person who is in any way selling you stuff, shows you his profitable record of more than 6 months in any financial instrument, that you look at yourself in the mirror and you can say I trust him, not I want to trust him (even if it's some of each, but hey everything involves risk).
LOOK AT THE CHARTS.
Want to have "fast money" (intraday), look M1 to M30, even H1 for a bird's view, optimize your profitable and consistent demo results to that market; want to look charts once a day, trade D1, I'd say you don't even have to look at something bigger as it is big enough and you can go to H4 or H1 for finesse entries (can become a vicious circle, how much finesse is finesse?).
It's all about trust, confidence and a good plan.
Psychology of yourself is so vast, and so unique to each person that I would dare to say that if you are looking for the answer outside of you, you better befriend a trader who is today making money and pray that he literally gifts you his confidence (not his knowledge even if it can help, hi will be sharing his confidence). Your social mind will spawn the hype, the euphoria, you will succeed for a while, market will kill you sooner or later, you will help the market to kill your account. Why? Because your confidence wasn't real, it may be that that day, that week the market moved nicely, or you felt strong and super.
How many gurus go live and say "hey today, as a human being, I don't feel great, I would not trade today?" none. They say market is not right ATM, cherry picking, they totally exploit that you can't go inside their screens and really know them, here comes the version you want to believe, you will tell yourself anything, you will tell anyone anything.
Here to finish, I'll say that consistency in anything in life starts from yourself. If you can't be consistent everyday with yourself for a long period of time, you will find temporary jobs, temporary stuff, you will keep jumping from gurus, from strategies, you will create better versions on your head, just imagine what version a guru must have created to go and sell forex related stuff instead of searching for how to kill the markets, he may be doing both, in the end none of that will give you anything, you will end up being the stair to the gurus goals. Try to comprehend how human we are, how arrogant we are from a farmers perspective, how or evolution results in our minds plays us tricks, to think the government is real, to think there's order, justice, to think that we can achieve huge things with the help of YouTube videos or paying another human being, the market is flow, manipulation is real (why call it manipulation when you would be doing the same in their shoes(big boys)) is part of the nature of anything you plot with Y and X axis (look for a graph of population changes, harmonics, double bottoms, double tops, in a population changes graph? how can that be?), it may be a cliche but is aaaaaaall an illusion guys, the truth is not good business for the other side of the trades.
See you on the other side.
"I'll be a big noise with all the big boys"
submitted by ab_moncada to Forex [link] [comments]

Oil prices are getting red

Oil prices are getting red
Oil prices are falling on Wednesday after data indicated an unexpected increase in U.S. stocks, but expectations for stronger demand next year are holding back a sharper fall.
https://preview.redd.it/tk8ca7o6fd541.png?width=655&format=png&auto=webp&s=2104f42d549adf5a2de7ceb08534a54e57a4d83c
Brent futures were down by 0,42% to $ 65.82 per barrel. Futures for WTI American light oil fell 0.61% to $ 60.57 per barrel.
Both brands rose more than 1% on Tuesday, as the “first phase” of the U.S.-China trade deal announced last week reduced pressure on the oil market.
The U.S. oil inventories unexpectedly ramped up last week, data from the American Petroleum Institute (API) showed on Tuesday.
According to the API, oil inventories increased by 4,7 million barrels to 452 million for the week ending December 13, while analysts predicted they would decline by 1,3 million barrels.
“The hot rally in the oil market stopped after a sudden rise in the U.S. weekly oil reserves report,” AxiTrader strategist Stephen Innes made a statement.
Currently, traders are waiting for official data to be released by the U.S. Energy Information Administration (EIA) on Wednesday.
OPEC +’s agreement to strengthen production cuts in the first quarter of 2020 also continues to support markets.
For getting more useful information regarding the commodities sector of the market, you can visit the site Oinvest.
Risk Warning: CFDs are high-risk products.
submitted by Oinvest1 to u/Oinvest1 [link] [comments]

[R] Trouble creating a Log Scale graph of Zimbabwean Dollars vs United States Dollars

First things first:
Dataset from kaggle
This image from Wikipedia is what I want to create
R code:
library(ggplot2) african_economicdata <- read.csv("african_crises.csv") Z_ED <- subset(african_economicdata, country == "Zimbabwe") Z_ED2001 <- subset(Z_ED, year > 2000) Z_ED2001$log10_exchange <- log10(Z_ED2001$exch_usd) ggplot(Z_ED2001, aes(Z_ED2001$year,Z_ED2001$log10_exchange)) + geom_line() +geom_point() + xlab("Year") + ylab("Exchange Rate in USD") + theme_minimal() 
Here is what the result looks like
A few things are throwing me off:
  1. This happens to be a cross section of two things i never really understood in my bachelors, forex and logarithms
  2. From the eye test the curve looks similar to the image from wikipedia, but the y-axis values don't make much sense to me (possibly due logarithms as previously stated).
  3. The dataset in Kaggle is light on details and I don't really know how to interpret the exchange rate values. Take 2001 for instance, does 5.510 x 10-25 mean that 1 ZWD is equal to 5.510 x 10-25 USD? The number is so small that it kind of melts my brain.
  4. I'm having trouble finding information about the ZWD during this time period, the trends in the wikipedia image for OMIR and the Parallel rate seems to have much fine grain data, looking at the fluctuations between 07-08. Does that mean that the data I'm working with would be the Official data?
submitted by CJEntusBlazeIt_420 to econometrics [link] [comments]

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