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Former investment bank FX trader: Risk management part II

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

Letting stops breathe

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

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

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

Reasons to change a stop

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

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

Entering and exiting winning positions

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

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

Entering positions with limit orders

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

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

Risk:reward and win ratios

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

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

Risk-adjusted returns

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

Sharpe ratio

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

VAR

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

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

Coming up in part III

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

***
Disclaimer:This content is not investment advice and you should not place any reliance on it. The views expressed are the author's own and should not be attributed to any other person, including their employer.
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submitted by ViralMedia007 to FREECoursesEveryday [link] [comments]

Binary Options Review; Best Binary Options Brokers

Binary Options Review; Best Binary Options Brokers

Binary Options Review; Best Binary Options Brokers
We have compared the best regulated binary options brokers and platforms in May 2020 and created this top list. Every binary options company here has been personally reviewed by us to help you find the best binary options platform for both beginners and experts. The broker comparison list below shows which binary trading sites came out on top based on different criteria.
You can put different trading signals into consideration such as using payout (maximum returns), minimum deposit, bonus offers, or if the operator is regulated or not. You can also read full reviews of each broker, helping you make the best choice. This review is to ensure traders don't lose money in their trading account.
How to Compare Brokers and Platforms
In order to trade binary options, you need to engage the services of a binary options broker that accepts clients from your country e.g. check US trade requirements if you are in the United States. Here at bitcoinbinaryoptionsreview.com, we have provided all the best comparison factors that will help you select which trading broker to open an account with. We have also looked at our most popular or frequently asked questions, and have noted that these are important factors when traders are comparing different brokers:
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The Regulated Binary Brokers
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There are other regulators in addition to the above, and in some cases, brokers will be regulated by more than one organization. This is becoming more common in Europe where binary options are coming under increased scrutiny. Reputable, premier brands will have regulation of some sort.
Regulation is there to protect traders, to ensure their money is correctly held and to give them a path to take in the event of a dispute. It should therefore be an important consideration when choosing a trading partner.
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It is worth taking the time to understand those terms before signing up or clicking accept on a bonus offer. If the terms are not to your liking then the bonus loses any attraction and that broker may not be the best choice. Some bonus terms tie in your initial deposit too. It is worth reading T&Cs before agreeing to any bonus, and worth noting that many brokers will give you the option to ‘opt-out’ of taking a bonus.
Using a bonus effectively is harder than it sounds. If considering taking up one of these offers, think about whether, and how, it might affect your trading. One common issue is that turnover requirements within the terms, often cause traders to ‘over-trade’. If the bonus does not suit you, turn it down.
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Being former traders ourselves, we know precisely what you need. That’s why we’ll do our best to provide our readers with the most accurate information. We are one of the leading websites in this area of expertise, with very detailed and thorough analyses of every broker we encounter. You will notice that each aspect of any broker’s offer has a separate article about it, which just goes to show you how seriously we approach each company. This website is your best source of information about binary options brokers and one of your best tools in determining which one of them you want as your link to the binary options market.
Why Use a Binary Options Trading Review?
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Just let us do our job and then check out the results before making any major decisions. All our investigations regarding brokers’ reliability can be seen if you click on our Scam Tab, so give it a go and see how we operate. More detailed scam reports than these are simply impossible to find. However, the most important part of this website can be found if you go to our Brokers Tab.
There you can find extensive analyses of numerous binary options brokers irrespective of your trading strategy. Each company is represented with an all-encompassing review and several other articles dealing with various aspects of their offer. A list containing the very best choices will appear on your screen as you enter our website whose intuitive design will allow you to access all the most important information in real-time.
We will explain minimum deposits, money withdrawals, bonuses, trading platforms, and many more topics down to the smallest detail. Rest assured, this amount of high-quality content dedicated exclusively to trading cannot be found anywhere else. Therefore, visiting us before making any important decisions regarding this type of trading is the best thing to do.
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submitted by Babyelijah to u/Babyelijah [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]

Looking back 18 months.

I was going through old emails today and came across this one I sent out to family on January 4, 2018. It was a reflection on the 2017 crypto bull market and where I saw it heading, as well as some general advice on crypto, investment, and being safe about how you handle yourself in cryptoland.
I feel that we are on the cusp of a new bull market right now, so I thought that I would put this out for at least a few people to see *before* the next bull run, not after. While the details have changed, I don't see a thing in this email that I fundamentally wouldn't say again, although I'd also probably insist that people get a Yubikey and use that for all 2FA where it is supported.
Happy reading, and sorry for some of the formatting weirdness -- I cleaned it up pretty well from the original email formatting, but I love lists and indents and Reddit has limitations... :-/
Also, don't laught at my token picks from January 2018! It was a long time ago and (luckliy) I took my own advice about moving a bunch into USD shortly after I sent this. I didn't hit the top, and I came back in too early in the summer of 2018, but I got lucky in many respects.
----------------------------------------------------------------------- Jan-4, 2018
Hey all!
I woke up this morning to ETH at a solid $1000 and decided to put some thoughts together on what I think crypto has done and what I think it will do. *******, if you could share this to your kids I’d appreciate it -- I don’t have e-mail addresses, and it’s a bit unwieldy for FB Messenger… Hopefully they’ll at least find it thought-provoking. If not, they can use it as further evidence that I’m a nutjob. 😉
Some history before I head into the future.
I first mined some BTC in 2011 or 2012 (Can’t remember exactly, but it was around the Christmas holidays when I started because I had time off from work to get it set up and running.) I kept it up through the start of summer in 2012, but stopped because it made my PC run hot and as it was no longer winter, ********** didn’t appreciate the sound of the fans blowing that hot air into the room any more. I’ve always said that the first BTC I mined was at $1, but looking back at it now, that’s not true – It was around $2. Here’s a link to BTC price history.
In the summer of 2013 I got a new PC and moved my programs and files over before scrapping the old one. I hadn’t touched my BTC mining folder for a year then, and I didn’t even think about salvaging those wallet files. They are now gone forever, including the 9-10BTC that were in them. While I can intellectually justify the loss, it was sloppy and underlines a key thing about cryptocurrency that I believe will limit its widespread adoption by the general public until it is addressed and solved: In cryptoland, you are your own bank, and if you lose your password or account number, there is no person or organization that can help you reset it so that you can get access back. Your money is gone forever.
On April 12, 2014 I bought my first BTC through Coinbase. BTC had spiked to $1000 and been in the news, at least in Japan. This made me remember my old wallet and freak out for a couple of months trying to find it and reclaim the coins. I then FOMO’d (Fear Of Missing Out”) and bought $100 worth of BTC. I was actually very lucky in my timing and bought at around $430. Even so, except for a brief 50% swing up almost immediately afterwards that made me check prices 5 times a day, BTC fell below my purchase price by the end of September and I didn’t get back to even until the end of 2015.
In May 2015 I bought my first ETH at around $1. I sent some guy on bitcointalk ~$100 worth of BTC and he sent me 100 ETH – all on trust because the amounts were small and this was a small group of people. BTC was down in the $250 range at that point, so I had lost 30-40% of my initial investment. This was of the $100 invested, so not that much in real terms, but huge in percentages. It also meant that I had to buy another $100 of BTC on Coinbase to send to this guy. A few months after I purchased my ETH, BTC had doubled and ETH had gone down to $0.50, halving the value of my ETH holdings. I was even on the first BTC purchase finally, but was now down 50% on the ETH I had bought.
The good news was that this made me start to look at things more seriously. Where I had skimmed white papers and gotten a superficial understanding of the technology before FOMO’ing, I started to act as an investor, not a speculator. Let me define how I see those two different types of activity:
So what has been my experience as an investor? After sitting out the rest of 2015 because I needed to understand the market better, I bought into ETH quite heavily, with my initial big purchases being in March-April of 2016. Those purchases were in the $11-$14 range. ETH, of course, dropped immediately to under $10, then came back and bounced around my purchase range for a while until December of 2016, when I purchased a lot more at around $8.
I also purchased my first ICO in August of 2016, HEAT. I bought 25ETH worth. Those tokens are now worth about half of their ICO price, so about 12.5ETH or $12500 instead of the $25000 they would be worth if I had just kept ETH. There are some other things with HEAT that mean I’ve done quite a bit better than those numbers would suggest, but the fact is that the single best thing I could have done is to hold ETH and not spend the effort/time/cost of working with HEAT. That holds true for about every top-25 token on the market when compared to ETH. It certainly holds true for the many, many tokens I tried to trade in Q1-Q2 of 2017. In almost every single case I would have done better and slept better had I just held ETH instead of trying to be smarter than Mr. Market.
But, I made money on all of them except one because the crypto market went up more in USD terms than any individual coin went down in ETH or BTC terms. This underlines something that I read somewhere and that I take to heart: A rising market makes everyone seem like a genius. A monkey throwing darts at a list of the top 100 cryptocurrencies last year would have doubled his money. Here’s a chart from September that shows 2017 year-to-date returns for the top 10 cryptocurrencies, and all of them went up a *lot* more between then and December. A monkey throwing darts at this list there would have quintupled his money.
When evaluating performance, then, you have to beat the monkey, and preferably you should try to beat a Wall Street monkey. I couldn’t, so I stopped trying around July 2017. My benchmark was the BLX, a DAA (Digital Asset Array – think fund like a Fidelity fund) created by ICONOMI. I wasn’t even close to beating the BLX returns, so I did several things.
  1. I went from holding about 25 different tokens to holding 10 now. More on that in a bit.
  2. I used those funds to buy ETH and BLX. ETH has done crazy-good since then and BLX has beaten BTC handily, although it hasn’t done as well as ETH.
  3. I used some of those funds to set up an arbitrage operation.
The arbitrage operation is why I kept the 11 tokens that I have now. All but a couple are used in an ETH/token pair for arbitrage, and each one of them except for one special case is part of BLX. Why did I do that? I did that because ICONOMI did a better job of picking long-term holds than I did, and in arbitrage the only speculative thing you must do is pick the pairs to trade. My pairs are (No particular order):
I also hold PLU, PLBT, and ART. These two are multi-year holds for me. I have not purchased BTC once since my initial $200, except for a few cases where BTC was the only way to go to/from an altcoin that didn’t trade against ETH yet. Right now I hold about the same 0.3BTC that I held after my first $100 purchase, so I don’t really count it.
Looking forward to this year, I am positioning myself as follows:
Looking at my notes, I have two other things that I wanted to work into this email that I didn’t get to, so here they are:
  1. Just like with free apps and other software, if you are getting something of value and you didn’t pay anything for it, you need to ask why this is. With apps, the phrase is “If you didn’t pay for the product, you are the product”, and this works for things such as pump groups, tips, and even technical analysis. Here’s how I see it.
    1. People don’t give tips on stocks or crypto that they don’t already own that stock or token. Why would they, since if they convince anyone to buy it, the price only goes up as a result, making it more expensive for them to buy in? Sure, you will have friends and family that may do this, but people in a crypto club, your local cryptocurrency meetup, or online are generally not your friends. They are there to make money, and if they can get you to help them make money, they will do it. Pump groups are the worst of these, and no matter how enticing it may look, stay as far away as possible from these scams. I even go so far as to report them when I see them advertise on FB or Twitter, because they are violating the terms of use.
    2. Technical analysis (TA) is something that has been argued about for longer than I’ve been alive, but I think that it falls into the same boat. In short, TA argues that there are patterns in trading that can be read and acted upon to signal when one must buy or sell. It has been used forever in the stock and foreign exchange markets, and people use it in crypto as well. Let’s break down these assumptions a bit.
i. First, if crypto were like the stock or forex markets we’d all be happy with 5-7% gains per year rather than easily seeing that in a day. For TA to work the same way in crypto as it does in stocks and foreign exchange, the signals would have to be *much* stronger and faster-reacting than they work in the traditional market, but people use them in exactly the same way.
ii. Another area where crypto is very different than the stock and forex markets centers around market efficiency theory. This theory says that markets are efficient and that the price reflects all the available information at any given time. This is why gold in New York is similar in price to gold in London or Shanghai, and why arbitrage margins are easily <0.1% in those markets compared to cryptoland where I can easily get 10x that. Crypto simply has too much speculation and not enough professional traders in it yet to operate as an efficient market. That fundamentally changes the way that the market behaves and should make any TA patterns from traditional markets irrelevant in crypto.
iii. There are services, both free and paid that claim to put out signals based on TA for when one should buy and sell. If you think for even a second that they are not front-running (Placing orders ahead of yours to profit.) you and the other people using the service, you’re naïve.
iv. Likewise, if you don’t think that there are people that have but together computerized systems to get ahead of people doing manual TA, you’re naïve. The guys that I have programming my arbitrage bots have offered to build me a TA bot and set up a service to sell signals once our position is taken. I said no, but I am sure that they will do it themselves or sell that to someone else. Basically they look at TA as a tip machine where when a certain pattern is seen, people act on that “tip”. They use software to see that “tip” faster and take a position on it so that when slower participants come in they either have to sell lower or buy higher than the TA bot did. Remember, if you are getting a tip for free, you’re the product. In TA I see a system when people are all acting on free preset “tips” and getting played by the more sophisticated market participants. Again, you have to beat that Wall Street monkey.
  1. If you still don’t agree that TA is bogus, think about it this way: If TA was real, Wall Street would have figured it out decades ago and we would have TA funds that would be beating the market. We don’t.
  2. If you still don’t agree that TA is bogus and that its real and well, proven, then you must think that all smart traders use them. Now follow that logic forward and think about what would happen if every smart trader pushing big money followed TA. The signals would only last for a split second and would then be overwhelmed by people acting on them, making them impossible to leverage. This is essentially what the efficient market theory postulates for all information, including TA.
OK, the one last item. Read this weekly newsletter – You can sign up at the bottom. It is free, so they’re selling something, right? 😉 From what I can tell, though, Evan is a straight-up guy who posts links and almost zero editorial comments.
Happy 2018.
submitted by uetani to CryptoCurrency [link] [comments]

All About The Forex Robot Review

A forex trading robot is a computer program based on a set of forex trading signals that helps determine whether to buy or sell a currency pair at a given point in time. Forex robots are designed to remove the psychological element of trading, which can be detrimental.
Trading robots rely on trading signals and built-in trading systems that enable it to function independently. Integrated signals allow a trading robot to “decide” on the perfect time to buy or sell a currency pair, while the systems facilitate the actual trading process.
Forex Robot Review is our informative resource; our team does our best to provide you with the best and most functional Forex robot trading software systems. With the right software system, you can easily get a solid amount of money for properly conducted trading actions on the part of Forex software. We provide a complete comparison chart of trading statistics taken directly from Myfxbook and FX Blue accounts.
Most of these accounts are tests provided by the Forex robot review team, but there are some vendor accounts. Not all software has active tests in our spreadsheet, but their reviews are available for your analysis, and in most cases contain several useful information and feedback from other traders. Our experienced specialists have completed the full process of testing Forex robots. This process is as thorough as possible and free of errors. On our portal, you will find the most informative data you are looking for. Our team delves into analyzing the performance of compatible robots running on MT4 / MT5 platforms.
Forex robot review professionals are always analyzing all these software expert systems, looking for the best Forex trading robots, expert advisors. To sum up, if you are a Forex investor interested in trading Forex trades, then you need to look at some of the best systems we have chosen by thoroughly analyzing and exploring all of their features and opportunities that they provide for traders. The right systems are always a low risk, low cost and easy (understandable) Forex trading so you can start making money in currency trading without knowing all the nuances and important details.
It is a Forex robot review that you can find complete information about Forex robots. All the important details and all the information that every trader needs. We always try to analyze all the robots, find their advantages and disadvantages. We regularly analyze and upload new systems that work well, so send us an email and we'll help you find the best Forex robot. All these opportunities inform traders, so they have the opportunity to choose the best robot for effective trading on Forex.
The whole process of testing systems takes a lot of work. In the early stages of the work of Forex experts, we did not have the same level of technology as we have now, so right now there have been very positive changes when testing such systems. This makes it possible to analyze functionality, detect errors, see the downsides and downsides, and make testing more complicated, as most popular commercial systems rely on real-time transaction data. This makes demos and live tests extremely important. The only problem with this approach is that we need to trade the system long enough before we have enough samples to rely on.
This allows us to look at many different elements of the strategy to find ways to make sure that the trader deals only with systems that can safely increase your investment.
About Forex Robot Reviews:
At forexrobotreview.trade, we test all robots to ensure that traders can find the best, most optimized and versatile robots to facilitate traders in the Forex trading market. See full list of best Forex trading robots and detailed reviews of them. We will provide you with the most trustworthy Forex robot reviews.
submitted by fxroboreview to u/fxroboreview [link] [comments]

Acute Growth of Algorithm Trading Market Opportunity Assessments 2019-2023

Acute Growth of Algorithm Trading Market Opportunity Assessments 2019-2023
Algorithm Trading Market
Research report comes up with the size of the global Algorithm Trading Market for the base year 2019 and the forecast between 2019 and 2023. Market value has been estimated considering the application and regional segments, market share, and size, while the forecast for each product type and application segment has been provided for the global and local markets.
The Algorithm Trading report offers detailed profiles of the key players to bring out a clear view of the competitive landscape of the Algorithm Trading Outlook. It also comprehends market new product analysis, financial overview, strategies and marketing trends.
Major Manufacturer Detail: Thomson Reuters, 63 moons, InfoReach, Argo SE, MetaQuotes Software, Automated Trading SoftTech, Tethys, Trading Technologies, Tata Consulting Services, Vela, Virtu Financial, Symphony Fintech, Kuberre Systems, iRageCapital, QuantCore Capital Management
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The report reckons a complete view of the world Algorithm Trading market by classifying it in terms of application and region. These segments are examined by current and future trends. Regional segmentation incorporates current and future demand for them in North America, Asia Pacific, Europe, and the Middle East. The report collectively covers specific application segments of the market in each region.
Types of Algorithm Trading covered are: Forex Algorithm Trading, Stock Algorithm Trading, Fund Algorithm Trading, Bond Algorithm Trading, Cryptographic Algorithm Trading
Applications of Algorithm Trading covered are: large Enterprise, SME
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Regional Analysis For Algorithm Trading Market
North America (The United States, Canada, and Mexico) Europe (Germany, France, UK, Russia, and Italy) Asia-Pacific (China, Japan, Korea, India, and Southeast Asia) South America (Brazil, Argentina, Colombia, etc.) The Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria, and South Africa)
Table of Contents:
Study Coverage: It includes key manufacturers covered, key market segments, the scope of products offered in the global Algorithm Trading market, years considered, and study objectives. Additionally, it touches the segmentation study provided in the report on the basis of the type of product and application. Executive summary: It gives a summary of key studies, market growth rate, competitive landscape, market drivers, trends, and issues, and macroscopic indicators. Production by Region: Here, the report provides information related to import and export, production, revenue, and key players of all regional markets studied. Profile of Manufacturers: Each player profiled in this section is studied on the basis of SWOT analysis, their products, production, value, capacity, and other vital factors.
Reasons to buy:
• In-depth analysis of the market on the global and regional level. • Major changes in market dynamics and competitive landscape. • Segmentation on the basis of type, application, geography, and others. • Historical and future market research in terms of size, share, growth, volume & sales. • Major changes and assessment in market dynamics & developments. • Industry size & share analysis with industry growth and trends. • Emerging key segments and regions. • Key business strategies by major market players and their key methods. • The research report covers size, share, trends and growth analysis of the Algorithm Trading Market on the global and regional level.
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In conclusion, the Algorithm Trading Market report is a reliable source for accessing the Market data that will exponentially accelerate your business. The report provides the principle locale, economic scenarios with the item value, benefit, supply, limit, generation, request, Market development rate, and figure and so on. Besides, the report presents a new task SWOT analysis, speculation attainability investigation, and venture return investigation.
submitted by hannah_jack to TechInsightreports [link] [comments]

10 Blockchain Companies To Watch In Asia

10 Blockchain Companies To Watch In Asia

https://preview.redd.it/bjix9mvdw2m31.png?width=864&format=png&auto=webp&s=0c7b463f7bcf30dfe1bff31aa70b33ca6e002e8f
Article by Forbes: Joresa Blount
In 2018, Asia was one of the leading regions in terms of growth of blockchain jobs, cryptocurrency usage, innovation, and general openness. Despite some early woes with China banning ICOs, China still produces nearly 70% of crypto mining activity.
For users and entrepreneurs, the Asian ecosystem is in general a friendly one. For example, in Singapore Bitcoin is taxed as a good rather than a currency, setting a 7% flat tax for trades or purchases using Bitcoin. In Japan, messenger giant, LINE, was just granted a crypto exchange license from the Japanese financial regulator. In Korea, news just broke that the country’s largest entertainment company would be launching its own token.
Besides the name brand companies that are exploring crypto solutions, there are hundreds of innovative startups and founders looking to radically disrupt their respective industries with blockchain technology. This list contains ten innovative blockchain startups based in Asia worth watching, including exchanges, fintech startups, and more.
Today In: Innovation
1. Level01
Level01 is the world’s first broker less derivatives exchange in collaboration with Thomson Reuters. Through using blockchain technology, the platform eliminates middlemen while providing a decentralized trading experience. Users can trade derivatives and options in forex, cryptocurrencies, commodities, stocks and indices, all from the Level01 platform and app.
Level01 does this by using Distributed Ledger Technology (DLT) for transparent and automated trade settlement on the blockchain, with their unique Artificial Intelligence (AI) analytics called Fairsense that provides fair value pricing dynamically to counterparties in a trade, based on current and retrospective market data from Thomson Reuters. The platform and app are currently undergoing stringent beta testing by 50 experienced traders.
2. Galaxy Pool
Galaxy Pool, also known as GPO, is a brand-new asset issuance style on blockchain that utilizes intelligent contracts for initial digital asset issuance. In general, GPO assets can be best described as mining machines used to explore various kinds of digital assets that can obtain value-added benefits of GPO through the repurchase and destruction of pond profits.
With this brand-new asset issuance style on blockchain, more humanistic investment opportunities with free withdrawal rights can be provided to investors.
3. Biki
Headquartered in Singapore, BiKi.com is a global cryptocurrency exchange ranked Top 20 on CoinMarketCap. BiKi.com provides a digital assets platform for trading more than 150 cryptocurrencies and 220 trading pairs. Since its official opening in August 2018, BiKi.com is considered one of the fastest-growing cryptocurrency exchanges in the world with an accumulated 1.5 million registered users, 130,000 daily active users, over 2000 community partners and 200,000 community members in under a year.
BiKi’s competitive advantages include helping projects with marketing, influencers, brand awareness, and community growth in the Chinese markets and abroad. With a global approach, BiKi also helps Chinese companies go global and international companies penetrate Chinese markets.
4. Whitebit
With a global team of over 100 people, Whitebit is a professional digital asset trading platform that services most major Asian markets via a European license. The exchange holds 95% of user funds in cold wallets and offers users an intuitive user interface with real-time orderbooks, charting and technical analysis tools, and automation features. Whitebit’s major competitive advantage is processing speeds of up to 10,000 trades every second and 1,000,000 TCP connections.
Whitebit has also announced the release of S.M.A.R.T. Box, a program that allows users to budget and allocate funds based on unique plans with varying durations and interest rates. Next is the launch of margin trading in Q4 2020, as well as mobile iOS and Android apps and an eventual US license.
5. Opu Labs
Opu Labs is creating the self-care business model of the future starting with the skincare space. There are over 1.2 billion online skincare consumers with a $3 billion digital services business. Opu Labs helps make the decision-making process easier by offering free advice powered by AI, rewarding users for their purchase data using blockchain technology, and using robust technologies to connect brands and consumers.
Under the leadership of CEO Marc Bookman, Opu Labs was named in the top 25 healthcare solutions by CIO Applications and won the start-up GrandSlam in Singapore. To date, $2m in rewards have been earned on the platform and the company will be releasing their long-awaited apps soon.
6. Coinsbit.io
Thanks to his vast expertise, experience, and sense of the market, Nikolay Udianskyi created a high-quality crypto exchange called Coinsbit.io. Now leading the Asian crypto market, Coinsbit was named the best 2018 crypto exchange at Asian Blockchain Life 2019.
Coinsbit is planning to further distinguish itself from the competition through a series of novel functions. Among its plans is a P2P microfinancing lending service that will enable users to borrow and lend money on the platform. Coinsbit will ensure privacy for all users and will not require borrowers to show their credit history. An additional planned feature is an invest box service, which will reward users who deposit cryptocurrency by paying them interest on various coins.
7. GST Coin
GST is a comprehensive digital application platform which integrates encrypted payment currency, blockchain and artificial intelligence technology. It is dedicated to providing the most valuable intelligent digital asset service for every user and creating a new GST digital public chain in a diversified market structure. GST project is committed to using the most advanced technology to create the most perfect user experience, and it has always been in the forefront of the market in the decentralized security sharing architecture.
GST was born out of MHC Asset Management Corporation, a high-tech enterprise engaged in R&D and innovation of blockchain technology. Their executive team includes CEO Ms. Zhang Qun and other leading technologists and entrepreneurs in China.
8. Columbu
Columbu (CAT) is a global community-based open-source blockchain project that has been active since 2017. Under CTO David Su, CAT’s main focus is building a high-performance DAPP development platform and community encouraging and autonomous system based on software and hardware combined GCloud Everest computing platform. This is the world’s first public blockchain (distributed cloud) using CUDA and blockchain technology.
The project will allow for a worldwide distributed and free economic collaborative network of intelligent economies. This will happen through a community incentive mechanism and autonomous system to build in real-time. The project has an ambitious roadmap that will include growing its global developer community and other projects within their ecosystem.
9. KBC
Registered in Singapore, KBC is the powering token of a global financial infrastructure and range of products focused around gold. These products include an innovative Voice-over-Blockchain smartphone called IMpulse K1, a crypto payment merchant processor called K-Merchant, and a cryptocurrency exchange and trading platform. Together these products and entities combine to form the Gold Imperium, the company’s financial ecosystem.
The company has attracted heavy interest from users who have seen the benefits of having both gold and cryptocurrency exposure, as well as the ease of use of being able to use each day to day through tokens such as KBC. As both markets expand, keep an eye on KBC.
10. TEXCENT
TEXCENT is a Singaporean blockchain and fintech startup focused on fully-integrated solutions for remittance, payments, and microfinancing. Using blockchain technology, the company wants to provide seamless and convenient digital financial services solutions to Asia and the world. TEXCENT is currently focusing on the Philippines, Vietnam, Thailand as these markets will grow exponentially in the next 5 years.
Their current products include PAYCENT, an app and hybrid wallet, as well as TEXCENT, a remittance solution with zero fees. TEXCENT has already acquired a remittance license from the Monetary Authority of Singapore (MAS) and is in the process of getting similar licenses for UK, Malaysia and Hong Kong in the coming months. The company is also a member of the Singapore Fintech Association.
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r/Stocks Technicals Tuesday - Dec 25, 2018

Feel free to talk about technical analysis here (not argue against it), but before you ask any question make sure you see the following information:
Technical analysis (TA) uses historical price movements, real time data, indicators based on math and/or statistics, and charts; all of which help measure the trajectory of a security. TA can also be used to interpret the actions of other market participants and predict their actions:
Measure: Is the security's price trending, has it dipped or is it a falling knife? Interpret: Does the current price mean investors think it's undervalued or overvalued; when did they buy/sell more and why? Predict: If price reaches a certain point, will there be a rally or get rejected?
The main benefit to TA is that everything shows up in the price (commonly known as priced in): All news, investor sentiment, and changes to fundamentals are reflected in a security's price.
TA is best used for short term trading, but can also be used for long term.
Intro to technical analysis by Stockcharts chartschool and their article on candlesticks
Terminology
Useful indicators
Methods or Systems
Strategies: See the TA wiki here as this will be a work in progress, feel free to reply with your own strategy.
See our past daily discussions here. Also links for: Technicals Tuesday, Options Trading Thursday, and Fundamentals Friday.
submitted by AutoModerator to stocks [link] [comments]

Ripple (XRP) Analysis (quite thorough)

NOTE: I did not write this article below. I simply copy and pasted the article. Please click the following link to view the entire article. The article includes charts and images which were not transferred to the text below.
https://steemit.com/cryptocurrency/@lennartbedrage/the-ripple-xrp-effect-fundamental-analysis
The Ripple(XRP) Effect - Fundamental Analysis: lennartbedrage44 in cryptocurrency ripple.jpg
Lately, there’s been a tremendous amount of buzz around Ripple(XRP), but is it only because of the massive growth we’ve seen in the past few 30 days, or is there something more?
In this article, I’ll dive into a brief back ground of Ripple, objectively examine the arguments for and against it, explore its potential from a economic standpoint, then close with potential threats to your investment and a summary.
Meet Ripple(XRP)-
Released in 2012, Ripple aims to enable “secure, instant and nearly free global financial transactions of any size with no chargebacks” through their real-time gross settlement system (RTGS) and currency exchange and remittance network. Ripples distributed open-source internet protocol consensus ledger was created as basic technology for interbank and regulated financial institutions to integrate Ripple into their own systems. This differs from the Bitcoin full node and other crowdsourced altcoin consensus networks in several ways:
Ripples common shared ledger is a network of independent validating servers which compare their transaction records, rather than the full network of nodes coming to consensus prior to each transaction, enabling faster transaction speeds. Although their protocol is open source, it was not created as a plug & play solution, like bitcoins full-node software, nor does it rely on crowd-sourced support. Unlike Bitcoin, Litecoin, Ethereum, and other Alt-coins, Ripple is recognized as legal tender by several governments, which gives it instant liquidity via financial institution, as well as purchasing power over material goods. Because of this, it cannot be evaluated in the same ways as other coins, which are largely evaluated based on assumptions & speculation. In terms of value, it’s more like cash than a commodity. Because of this, it is evaluated in a much different way than Ethereum(ETH) and other alt-coins with intrinsic value, but is accepted much more rapidly because it’s easy for the mass-market to understand. Remember: without market acceptance, there is not value, regardless of how innovative something may be.
Just 4 short years after its release, on 01MAY17, Ripple announced that a consortium of 47 banks have successfully completed a pilot implementation of Ripple in Japan, making it the first country in the world to enable domestic and international real time money transfers via the cryptocurrency. This event lead the XRP value to sky-rocket from $0.051580 USD to an all-time high of $0.430085 in just 16 days… but why? Is it 100% speculation, or is there something else going on here?
“It’s not a real cryptocurrency!” Or is it? Well, those whom bring this argument to the table are probably referencing facts that I’ve mention during my introduction to Ripple: Its a centralized and regulated crypto-currency which does not need global consensus for transfers, and it is built specifically for (and potentially by) financial institutions. Though a lot of the Anarcho-Capitalists may want to steer clear of this one due to its highly regulated nature, regular capitalist may believe these core differences to be its greatest strengths:
Regulated - As I mentioned in my analysis on Ethereum(ETH), Bitcoin’s lack of regulation was likely he reason (or at least, that’s what they told us) that the proposed ETF failed to pass the SEC’s evaluation several months ago. If adhering to some sort of trusted regulatory standards, this could drive federal confidence, which in turn drive bank and lending institution faith…trickling all the way down to the consumers. This insures rapid mass market acceptance. Consensus - As mentioned before this is much different process than Bitcoin’s global consensus, which means that transaction times are nearly instant regardless of volume transferred. Additionally, all transfers adhere to distributive ledgers DLT standards, which is a requirement for many financial institutions to be insurable. Institutional Management - You’ve probably guessed this one already. Although the demand and speculative value is driven at some capacity by ‘the people’, this currency is about as close to the World bank and SWIFT as you can get. This is largely due to the amount Deliberate - It feels like a big bank, because it is. Ripple was built specifically for the financial markets, which is why they specifically targeted regulatory compliance. shutterstock_289877267_long_read_cover_large.jpg
Economic Value As mentioned in the last point, Its easy to see that Ripple offers tremendous value to financial-institutions and retail investors. These two groups make up 358 billion (numbers from 2013) non-cash cross-country annual transactions, and the FOREX market which sees more than $5.1 trillion $USD each day. Per a report released by Capgemini and The Royal Bank of Scotland, this is growing at an average rate of about 7.5% each year globally, though China and other Emerging Asian economies have been leading the charge at around 21%.
Seems like a lot, right? Well, for sake of uncovering the immediate value of XRP, we will zoom into the recent adopters of the distributed ledger technology: Japan, India, and the Central Europe, Middle East & Africa(CEMEA) regions.
Japan.jpg
Japan is the third largest economy in the world by nominal GDP ($6.11 trillion), fourth by purchasing power parity(PPP) and second largest developed economy. Currently, their GDP per capita is roughly $48,412 (vs $56,430 in US) and their major trade partners include the US, China, Hong Kong, Australia and South Korea.
Japan GDP.png
Aside from the speculation that they maybe soon pressure their trade partners (excluding the US and China) to adopt a system which allows for instant, near free transfers of funds, here’s where it gets interesting for the immediate future: Japan has already started accepting Ripple(XRP) as legal tender. If Ripple raises to just 25% of the overall transaction volume of P2P, P2B & B2B within Japan itself (represented in the chart by Other Services, Real Estate, Retail, Transport, Communications, Finance & Utilities) which is equal to about 20% of their overall economy, Ripple would be handling roughly $1.27 trillion USD in Japan – alone - every year. To put that in perspective, the current (at the time of writing) market capitalization of Bitcoin(BTC) is $30.7 billion USD (or >0.4%). Unlike Bitcoin, Ripple is legal tender which means that it can be exchanged for material goods and services, which means that it’s likely to have explosive acceptance in the local area.
India.jpg
India-based Axis Bank announced in April that they will soon begin leveraging distributed ledger tech for cross-border transactions and to make banking simple and convenient for their customers. About 15 days’ prior, another large financial institution, Yes Bank, also announced that they would be adopting Ripples ledger for the same reasons. If Ripple continues to grow in acceptance at this rate in India, we could see another economy, roughly 1/3 the size of Japan’s ($2.074 trillion USD) add to Ripples annual transaction value. Now, from an economic stand point, this is most interesting because agriculture represents more than 50% of India’s employment, which means that India would be the 2nd case of consumer trading Ripple for staple foods.
India GDP.png
It is likely that Ripple will not handle as large of a percentage of overall transaction volumes in India because only two major banks have adopted this currency and it is not the only Crypto. The latter is probably one of the most important variables, as this means that Ripple will be duking it out for market dominancy. As all of my projections are fairly conservative, I would estimate that Ripple will handle roughly 10% of India’s over all transaction volume in the next 365 days, equal to roughly $311.1 billion USD.
One last thing that I would like to mention is that India is literally the ‘I’ in BRIC and roughly 13% of the BRIC countries total output. If the BRIC comes to fruition, India may be able to convince it’s other close trade partners to jump on the XRP-Train as well.
Dubai.jpg
Abu Dhabi Bank, the National and largest bank of the UAE, has already begun offering cross-border transaction services with Ripples distributive ledger technology as well. As they deal extensively with their middle eastern neighbors, such as Saudi Arabia, and Qatar, the UAE is likely to set a trend for other CEMEA countries to follow.
UAE GDP.png
This might be a surprise to some people, but Dubai’s largest industry is the energy sector (shocker!) followed closely by Real Estate and their Finance industry (double shocker!). Although their GPD is much smaller than Japan and India’s (about $370 billion USD), I am anticipating Ripple to handle a larger percent of the UAE’s transaction volume (31.11%), especially in the finance, Real Estate, Retail and Logistics industries. This is due largely to the fact that their population is only roughly 9.157 million, but most Abu Dhabi nationals are very financially inclined (or at least heavy spenders).
Potential Threats As this threatens SWIFT (unless they are completely on board) and the US dollars’ supremacy in the economic & financial markets, I would not be surprised to see a false flag attack, in which the NSA attacks Ripple and blames it on North Korea or China. Frankly, this would be a cake walk compared to Stuxnet or WannaCry and they could probably hand the task to an MIT intern. Where semi-centralization is Ripples strength in terms of transaction speed and regulation, it is also the biggest security flaw and may open it’s user to some heart ache, hair loss and heavy drinking over the next several years.
Possibility So, what is possible in terms of value over the next few years? Well, if we consider the following scenario:
XRP accounts for roughly 20% of Japan, India full GDP, but 31.1% UAE’s GDP ($7.152 Trillion USD) total exchange volume in the next 2 years Max XRP Supply stays at 100 billion No other countries adopt XRP (not likely) No hacks or other catastrophic events remove confidence Exclude speculation, demand, rallies, and GDP growth projections for each country Then we’re looking at each Ripple(XRP) market capitalization over ~$1.75 Trillion USD, making each coin $17.52 in real value. This means that if you were to invest today at $0.362794, your ROI would be about 4,989%. That said, I think that it’s likely it will go over $30 in the next 2 years, due to speculators flooding the markets and other countries signing up. Again, these are conservative numbers are based on total transaction value in USD equivalent.
For those whom subscribe, I will update as new variables are available to my appraisal
Bottom Line Although it was most definitely created by an insider of the banking industry and does not ‘feel like a crypto’, I personally feel that due to its rapid market acceptance, liquidity and position as legal tender in 3 large economies, Ripple(XRP) is both primed for explosive growth in the near future and likely to be one of the safest value based Crypto-investments we can make today.
Another thing, China is the anchor of the West Pacific, so we should all watch their evaluation of Ripple, very closely. If they were to jump on the XRP-Train, you are likely to see Australia, South Korea, Indonesia and Singapore do the same.
If you enjoyed this article, be sure to share & subscribe, as I have kept my proprietary models and will update as major events and additional countries begin to adopt this currency. If you feel that I have missed something or am just flat out wrong, please be sure to let me know in the comments below!
Planned articles for the next 14 days:
ICO advice from a Venture Capitalist (Follower Request) Paper Wallets (Follower Request) VIVA Analysis (Follower Request) Segregated Witness(Segwit) : Friend or Foe? A Kraken ate my gains... Fundamental Analysis: Stellar Lumens(XLM) Dual-Citizenship and Banking in Panama Rich vs. Wealthy All analysis, numbers and projections are my own. Core information was gathered from reliable sources, such as the World Bank, IMF, CIA world fact book, eia.gov and more.
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r/Stocks Technicals Tuesday - Nov 27, 2018

Feel free to talk about technical analysis here (not argue against it), but before you ask any question make sure you see the following information:
Technical analysis (TA) uses historical price movements, real time data, indicators based on math and/or statistics, and charts; all of which help measure the trajectory of a security. TA can also be used to interpret the actions of other market participants and predict their actions:
Measure: Is the security's price trending, has it dipped or is it a falling knife? Interpret: Does the current price mean investors think it's undervalued or overvalued; when did they buy/sell more and why? Predict: If price reaches a certain point, will there be a rally or get rejected?
The main benefit to TA is that everything shows up in the price (commonly known as priced in): All news, investor sentiment, and changes to fundamentals are reflected in a security's price.
TA is best used for short term trading, but can also be used for long term.
Intro to technical analysis by Stockcharts chartschool and their article on candlesticks
Terminology
Useful indicators
Methods or Systems
Strategies: See the TA wiki here as this will be a work in progress, feel free to reply with your own strategy.
See our past daily discussions here. Also links for: Technicals Tuesday, Options Trading Thursday, and Fundamentals Friday.
submitted by AutoModerator to stocks [link] [comments]

The Bloomberg Finance Lab

The Bloomberg Terminal (aka Bloomberg Professional Services) connects finance professionals to a dynamic network of information, people, and ideas. At the core of this network is the ability to deliver real-time data to finance professionals around the world.
The main value added services provided by Bloomberg Terminal are:
  1. Data
  2. News
  3. Analytics
These services are provided through innovative, proprietary technology, that quickly and accurately provides financial information to individuals and across enterprises around the world.
A world leader in providing market data information across the globe through its websites, apps and dedicated feeds and software products, Bloomberg offers a variety of tools available on free and paid basis, allowing finance professionals to use them in their research, analysis and related trading activities. Bloomberg’s coverage includes all possible financial securities ranging from equities, fixed income, derivatives, commodities, forex and OTC products, across the globe.

Bloomberg website:

The official Bloomberg website offers a wealth of free and subscription based tools and utilities, most offering customized views as per regions/markets.

Symbol Lookup Service:

Introduced couple of years back, Bloomberg Open Symbology tool offers Symbol lookup service and mapping of different symbols (SEDOL, CUSIP, ISIN, Stock exchange ticker, etc.) at global level. Individual traders as well as large investment firms having a need to consolidate data sourced from multiple sources with different symbols use this service. For e.g. a mutual fund company may take 2 different data feeds – one from Bloomberg containing Bloomberg symbol and other from Stock exchange containing local ticker. Symbology service enables cross referencing to validate data across two sources with different tickers.
Apart from the generic Open Symbology service, the widely followed Bloomberg symbols can be accessed through its dedicated symbol search tool.

Bloomberg Professional Products & Services:

The paid professional products and tools available from Bloomberg offer coverage across 360+ exchanges, 24000+ companies, global currency markets, and includes recently launched bitcoin coverage. These products and tools today are used by more than 315,000 subscribers across 175 countries, demonstrating the depth and variety of offerings from Bloomberg.
Bloomberg Market data terminal remains the most saleable product for both individual and enterprise use. A good 2 pager Getting Started Guide is available for introduction to financial analysis tools available within the Bloomberg Terminal. Apart from usual charts, graphs, technical indicators and market data coverage, one of the key selling points of Bloomberg Terminals is its instant messaging feature which enables easy communication across individuals, dedicated workgroups and even Bloomberg representatives for assistance.
Bloomberg Briefs: A dedicated service in the form of digital newsletters for the global financial markets, Bloomberg Brief offers insights into sector or region specific areas in PDF format.
Briefs for following categories are published daily – Bankruptcy & Restructuring, Economics, Economics Asia, Economics Europe, London, Municipal Market and Oil. Publication for other categories is weekly – China, Clean Energy & Carbon, Financial Regulation, Hedge Funds Europe, Hedge Funds, Leveraged Finance, Mergers, Private Equity, Structured Notes and Technical Strategies.
Such wide varieties of tools offered by Bloomberg come with lots of portability. All website based functionality can be accessed through standard browsers on mobiles and tablets, and even professional products offer portability for mobile and remote access through desktops, laptops, tablets and smartphones.

Bloomberg Enterprise Solutions

At the enterprise level, Bloomberg offers dedicated data feeds, pricing, reference and market data, news and information services to meet the needs of large financial enterprises employing financial analysts, traders and researchers. The Bloomberg trading solutions, offer connectivity and integration for buy side and sell side institutional clients. These find usage in complementing the OMS (Order management system), and recent EMS (Execution management system), for trade execution.
N L Dalmia has set up Mumbai’s first Bloomberg Finance Lab with 12 Bloomberg terminals, offering students extremely focused and high end knowledge programs with a high degree of practical learning and on-the-job applicability. Learning mba in mumbai from N L Dalmia is a step towards boosting one's career.
submitted by dipika20 to MBAinIndiaExplained [link] [comments]

The Bloomberg Finance Lab Launched at N L Dalmia Campus Mumbai

The Bloomberg Terminal (aka Bloomberg Professional Services) connects finance professionals to a dynamic network of information, people, and ideas. At the core of this network is the ability to deliver real-time data to finance professionals around the world.
The main value added services provided by Bloomberg Terminal are:
  1. Data
  2. News
  3. Analytics
These services are provided through innovative, proprietary technology, that quickly and accurately provides financial information to individuals and across enterprises around the world.
A world leader in providing market data information across the globe through its websites, apps and dedicated feeds and software products, Bloomberg offers a variety of tools available on free and paid basis, allowing finance professionals to use them in their research, analysis and related trading activities. Bloomberg’s coverage includes all possible financial securities ranging from equities, fixed income, derivatives, commodities, forex and OTC products, across the globe.

Bloomberg website:

The official Bloomberg website offers a wealth of free and subscription based tools and utilities, most offering customized views as per regions/markets.

Symbol Lookup Service:

Introduced couple of years back, Bloomberg Open Symbology tool offers Symbol lookup service and mapping of different symbols (SEDOL, CUSIP, ISIN, Stock exchange ticker, etc.) at global level. Individual traders as well as large investment firms having a need to consolidate data sourced from multiple sources with different symbols use this service. For e.g. a mutual fund company may take 2 different data feeds – one from Bloomberg containing Bloomberg symbol and other from Stock exchange containing local ticker. Symbology service enables cross referencing to validate data across two sources with different tickers.
Apart from the generic Open Symbology service, the widely followed Bloomberg symbols can be accessed through its dedicated symbol search tool.

Bloomberg Professional Products & Services:

The paid professional products and tools available from Bloomberg offer coverage across 360+ exchanges, 24000+ companies, global currency markets, and includes recently launched bitcoin coverage. These products and tools today are used by more than 315,000 subscribers across 175 countries, demonstrating the depth and variety of offerings from Bloomberg.
Bloomberg Market data terminal remains the most saleable product for both individual and enterprise use. A good 2 pager Getting Started Guide is available for introduction to financial analysis tools available within the Bloomberg Terminal. Apart from usual charts, graphs, technical indicators and market data coverage, one of the key selling points of Bloomberg Terminals is its instant messaging feature which enables easy communication across individuals, dedicated workgroups and even Bloomberg representatives for assistance.
Bloomberg Briefs: A dedicated service in the form of digital newsletters for the global financial markets, Bloomberg Brief offers insights into sector or region specific areas in PDF format.
Briefs for following categories are published daily – Bankruptcy & Restructuring, Economics, Economics Asia, Economics Europe, London, Municipal Market and Oil. Publication for other categories is weekly – China, Clean Energy & Carbon, Financial Regulation, Hedge Funds Europe, Hedge Funds, Leveraged Finance, Mergers, Private Equity, Structured Notes and Technical Strategies.
Such wide varieties of tools offered by Bloomberg come with lots of portability. All website based functionality can be accessed through standard browsers on mobiles and tablets, and even professional products offer portability for mobile and remote access through desktops, laptops, tablets and smartphones.

Bloomberg Enterprise Solutions

At the enterprise level, Bloomberg offers dedicated data feeds, pricing, reference and market data, news and information services to meet the needs of large financial enterprises employing financial analysts, traders and researchers. The Bloomberg trading solutions, offer connectivity and integration for buy side and sell side institutional clients. These find usage in complementing the OMS (Order management system), and recent EMS (Execution management system), for trade execution.
NLDIMSR has set up Mumbai’s first Bloomberg Finance Lab with 12 Bloomberg terminals, offering students extremely focused and high end knowledge programs with a high degree of practical learning and on-the-job applicability.
submitted by dipika20 to MBAIndia [link] [comments]

r/Stocks Technicals Tuesday - Dec 11, 2018

Feel free to talk about technical analysis here (not argue against it), but before you ask any question make sure you see the following information:
Technical analysis (TA) uses historical price movements, real time data, indicators based on math and/or statistics, and charts; all of which help measure the trajectory of a security. TA can also be used to interpret the actions of other market participants and predict their actions:
Measure: Is the security's price trending, has it dipped or is it a falling knife? Interpret: Does the current price mean investors think it's undervalued or overvalued; when did they buy/sell more and why? Predict: If price reaches a certain point, will there be a rally or get rejected?
The main benefit to TA is that everything shows up in the price (commonly known as priced in): All news, investor sentiment, and changes to fundamentals are reflected in a security's price.
TA is best used for short term trading, but can also be used for long term.
Intro to technical analysis by Stockcharts chartschool and their article on candlesticks
Terminology
Useful indicators
Methods or Systems
Strategies: See the TA wiki here as this will be a work in progress, feel free to reply with your own strategy.
See our past daily discussions here. Also links for: Technicals Tuesday, Options Trading Thursday, and Fundamentals Friday.
submitted by AutoModerator to stocks [link] [comments]

Best Trading Chart Software - YouTube How to Analyse Forex Charts - YouTube 5 of the Best Free Charting Software & Websites 📈 📉 - YouTube How To Analyze FOREX Charts  SIMPLE TIPS - YouTube BEST Charting Software - Tradingview - YouTube

Software technical analysis are used for the best ever analysis for the forex trading to get the better and best ever results in the broker with the forex tricks and amazing software designation.. If you are new in the stock and technical analysis software want to make the trade with the quick and better results so you have analyses the all in one category free technical analysis software and ... We offer both free and paid premium forex analysis to our users. The analysis is generated based on various technical indicators and fundamental trading strategies. The Forex Analysis App is available for Android smartphones as well as a Web App. You will be choosing between premium and free Forex charting software. It is important to know that if you are going to choose premium software, you need to make sure it has the premium features you require. In most cases, you can access an abundance of great charting software for free, but there are also pieces of software that can carry out advanced levels of analysis. This type of software ... You can modify every chart to your own personal liking, choose your preferred background color, size and much more. These charts are community driven, so you can follow our and other traders signals, forex charts technical analysis, trade ideas, and also share your own analysis. One of the best features of TradingView's free charting software is their smart drawing tools, technical analysis ... forex technical analysis free download - Forex technical analysis today, Technical Analysis Search - Forex, Technical Analysis: Forex - FAQ & Tips, and many more programs TradingView Fees. Free: Use on one device, up to one saved chart layout, no customer support; Pro: $9.95/month (use on one device, intraday time frames, up to five saved chart layouts, regular ... The software can either add more clearance to your chart, or it can actually add so many items that every sign of clearance will be removed. This is why technical analysis software for Forex trading should be chosen with care. Let's take a look at the most important factors for choosing the right Forex trading technical analysis software.

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Best Trading Chart Software - YouTube

Everyone analyzes FOREX charts differently. In this video, I reveal the simple and straightforward way that I have been analyzing charts lately which has wor... 5 of the Best Free Charting Websites. http://www.financial-spread-betting.com/course/technical-analysis.html PLEASE LIKE AND SHARE THIS VIDEO SO WE CAN DO MO... Website : https://ptiforex.com Telegram : https://t.me/thtahsh WhatsApp : http://api.whatsapp.com/send?phone=26879156163 Best Trading Chart Software A very common question I receive focuses on who I believe are the best technical trading charts providers to use for traders. I g... secure.robbooker.com/. If playback doesn't begin shortly, try restarting your device. You're signed out. Videos you watch may be added to the TV's watch history and influence TV recommendations ...

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