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Thanks to everyone who responded to the previous pieces on risk management. We ended up with nearly 2,000 upvotes and I'm delighted so many of you found it useful.submitted by getmrmarket to Forex [link] [comments]
This time we're going to focus on a new area: reacting to and trading around news and fundamental developments.
A lot of people get this totally wrong and the main reason is that they trade the news at face value, without considering what the market had already priced in. If you've ever seen what you consider to be "good" or "better than forecast" news come out and yet been confused as the pair did nothing or moved in the opposite direction to expected, read on...
We are going to do this in two parts.
IntroductionKnowing how to use and benefit from the economic calendar is key for all traders - not just news traders.
In this chapter we are going to take a practical look at how to use the economic calendar. We are also going to look at how to interpret news using second order thinking.
The key concept is learning what has already been ‘priced in’ by the market so we can estimate how the market price might react to the new information.
Why use an economic calendarThe economic calendar contains all the scheduled economic releases for that day and week. Even if you purely trade based on technical analysis, you still must know what is in store.
Why? Three main reasons.
Firstly, releases can help provide direction. They create trends. For example if GBPUSD has been fluctuating aimlessly within a range and suddenly the Bank of England starts raising rates you better believe the British Pound will start to move. Big news events often start long-term trends which you can trade around.
Secondly, a lot of the volatility occurs around these events. This is because these events give the market new information. Prior to a big scheduled release like the US Non Farm Payrolls you might find no one wants to take a big position. After it is released the market may move violently and potentially not just in a single direction - often prices may overshoot and come back down. Even without a trend this volatility provides lots of trading opportunities for the day trader.
Finally, these releases can change trends. Going into a huge release because of a technical indicator makes little sense. Everything could reverse and stop you out in a moment. You need to be aware of which events are likely to influence the positions you have on so you can decide whether to keep the positions or flatten exposure before the binary event for which you have no edge.
Most traders will therefore ‘scan’ the calendar for the week ahead, noting what the big events are and when they will occur. Then you can focus on each day at a time.
Reading the economic calendar
Most calendars show events cut by trading day. Helpfully they adjust the time of each release to your own timezone. For example we can see that the Bank of Japan Interest Rate decision is happening at 4am local time for this particular London-based trader.
Note that some events do not happen at a specific time. Think of a Central Banker’s speech for example - this can go on for an hour. It is not like an economic statistic that gets released at a precise time. Clicking the finger emoji will open up additional information on each event.
Event importanceHow do you define importance? Well, some events are always unimportant. With the greatest of respect to Italian farmers, nobody cares about mundane releases like Italian farm productivity figures.
Other events always seem to be important. That means, markets consistently react to them and prices move. Interest rate decisions are an example of consistently high importance events.
So the Medium and High can be thought of as guides to how much each event typically affects markets. They are not perfect guides, however, as different events are more or less important depending on the circumstances.
For example, imagine the UK economy was undergoing a consumer-led recovery. The Central Bank has said it would raise interest rates (making GBPUSD move higher) if they feel the consumer is confident.
Consumer confidence data would suddenly become an extremely important event. At other times, when the Central Bank has not said it is focused on the consumer, this release might be near irrelevant.
Knowing what's priced inNext to each piece of economic data you can normally see three figures. Actual, Forecast, and Previous.
Once you understand that markets move based on the news vs expectations, you will be less confused by price action around events
This is a common misunderstanding. Say everyone is expecting ‘great’ economic data and it comes out as ‘good’. Does the price go up?
You might think it should. After all, the economic data was good. However, everyone expected it to be great and it was just … good. The great release was ‘priced in’ by the market already. Most likely the price will be disappointed and go down.
By priced in we simply mean that the market expected it and already bought or sold. The information was already in the price before the announcement.
Incidentally the official forecasts can be pretty stale and might not accurately capture what active traders in the market expect. See the following example.
An example of pricing inFor example, let’s say the market is focused on the number of Tesla deliveries. Analysts think it’ll be 100,000 this quarter. But Elon Musk tweets something that hints he’s really, really, really looking forward to the analyst call. Tesla’s price ticks higher after the tweet as traders put on positions, reflecting the sentiment that Tesla is likely to massively beat the 100,000. (This example is not a real one - it just serves to illustrate the concept.)
Tesla deliveries are up hugely vs last quarter ... but they are disappointing vs market expectations ... what do you think will happen to the stock?
On the day it turns out Tesla hit 101,000. A better than the officially forecasted result - sure - but only marginally. Way below what readers of Musk's twitter account might have thought. Disappointed traders may sell their longs and close out the positions. The stock might go down on ‘good’ results because the market had priced in something even better. (This example is not a real one - it just serves to illustrate the concept.)
SurveysIt can be a little hard to know what the market really expects. Often the published forecasts are stale and do not reflect what actual traders and investors are looking for.
One of the most effective ways is a simple survey of investors. Something like a Twitter poll like this one from CNBC is freely available and not a bad barometer.
CNBC, Bloomberg and other business TV stations often have polls on their Twitter accounts that let you know what others are expecting
Interest rates decisionsWe know that interest rates heavily affect currency prices.
For major interest rate decisions there’s a great tool on the CME’s website that you can use.
See the link for a demo
This gives you a % probability of each interest rate level, implied by traded prices in the bond futures market. For example, in the case above the market thinks there’s a 20% chance the Fed will cut rates to 75-100bp.
Obviously this is far more accurate than analyst estimates because it uses actual bond prices where market participants are directly taking risk and placing bets. It basically looks at what interest rate traders are willing to lend at just before/after the date of the central bank meeting to imply the odds that the market ascribes to a change on that date.
Always try to estimate what the market has priced in. That way you have some context for whether the release really was better or worse than expected.
Second order thinkingYou have to know what the market expects to try and guess how it’ll react. This is referred to by Howard Marks of Oaktree as second-level thinking. His explanation is so clear I am going to quote extensively.
It really is hard to improve on this clarity of thought:
First-level thinking is simplistic and superficial, and just about everyone can do it (a bad sign for anything involving an attempt at superiority). All the first-level thinker needs is an opinion about the future, as in “The outlook for the company is favorable, meaning the stock will go up.” Second-level thinking is deep, complex and convoluted.
He explains first-level thinking:
The first-level thinker simply looks for the highest quality company, the best product, the fastest earnings growth or the lowest p/e ratio. He’s ignorant of the very existence of a second level at which to think, and of the need to pursue it.
The above describes the guy who sees a 101,000 result and buys Tesla stock because - hey, this beat expectations. Marks goes on to describe second-level thinking:
The second-level thinker goes through a much more complex process when thinking about buying an asset. Is it good? Do others think it’s as good as I think it is? Is it really as good as I think it is? Is it as good as others think it is? Is it as good as others think others think it is? How will it change? How do others think it will change? How is it priced given: its current condition; how do I think its conditions will change; how others think it will change; and how others think others think it will change? And that’s just the beginning. No, this isn’t easy.
In this version of events you are always thinking about the market’s response to Tesla results.
What do you think they’ll announce? What has the market priced in? Is Musk reliable? Are the people who bought because of his tweet likely to hold on if he disappoints or exit immediately? If it goes up at which price will they take profit? How big a number is now considered ‘wow’ by the market?
As Marks says: not easy. However, you need to start getting into the habit of thinking like this if you want to beat the market. You can make gameplans in advance for various scenarios.
Here are some examples from Marks to illustrate the difference between first order and second order thinking.
Some further examples
Trying to react fast to headlines is impossible in today’s market of ultra fast computers. You will never win on speed. Therefore you have to out-think the average participant.
Coming up in part IINow that we have a basic understanding of concepts such as expectations and what the market has priced in, we can look at some interesting trading techniques and tools.
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.
https://preview.redd.it/2r0yyzpr9z321.png?width=640&format=png&auto=webp&s=4d3d9fa506588761696133140ca38af266215f29submitted by Level01Exchange to u/Level01Exchange [link] [comments]
Could artificial intelligence in trading become the new normal? Advances in technology and new standards surrounding automated trading are pushing us ever closer to transforming the industry. If this sounds very much like a science fiction movie, we can assure you it is not.
In fact, artificial intelligence (AI) is already being utilized by banks, but its going to take a little longer for people to catch up to the idea that their investment is as safe, if not safer than it would be if their investments were handled by humans. An analysis by Accenture indicates that between 2018 and 2022, banks that invest in AI and human-machine collaboration at the same rate as top-performing businesses could boost their revenue by an average of 34 percent. AI’s application is proven to improve efficiencies or customer outcomes and the software-development team at Level01 is working hard to achieve a human-machine collaborated future in derivatives trading — to help people trade better, with ease and peace of mind.
As far as discernment in artificial intelligence in trading go, algorithmic trading is perhaps the most discussed of all. If we take a closer look at its application today, automated trading reflects our attitudes towards technology and how it is evolving the way we invest. Yet much of the discussion is still fixated on the hypothetical scenarios that automated trading would take over human jobs. Much less weight is being placed on the fact that AI through its fundamental form known to many as algorithmic trading has been used by institutional and retail investors for almost a decade now. “But there’s an obvious gap between institutional and retail users when it comes to trading and we aim to bridge that gap by creating a ‘level playing field’ for Level01 users. We do this by empowering them with our AI price discovery mechanism known as ‘FairSense’” says Naglis Vysniauskas, Head Quant Developer at Level01. “The AI was built using cross-stream analytics that were previously available only to institutional organizations.”
From helping investors to assess true market value of the contracts to enabling them to continuously update their bid or offer price relative to the implied fair value by FairSense, plenty of functions were built in to support human-collaborated trading, rather than substituting it. Introducing these features on a sleek user-friendly app is a strategic step-by-step approach to help the public get used to a whole different way of investing on an efficient and trustworthy Peer to Peer Derivatives Market platform like Level01. “People will experience trading at speeds, liquidity, freedom, accountability and transparency that have never been available before” says Vysniauskas. Those that find it hard to believe, can now experience trading on Level01 without limitations traditionally set by brokers, who would force their clients to accept their given price, disallow clients from dictating the best execution and insist that clients to trade at a ‘spread vs. mid’ (clients have no power to negotiate the level of spreads which they pay). The level of freedom granted to users on Level01 is enticing and highly persuasive.
“On the Level01 Derivatives Exchange platform, retail investors (or users as we call them) can trade against multiple peers or brokers, and this enables them to find best execution available,” says Vysniauskas. “Also, the ability to specify a fixed spread to fair value of an instrument could potentially reduce trading spreads significantly for large investors.” The practicality of this feature though may not fit small investors though, because leaving fixed bid or offer prices without continuous adjustment would be risky in markets where sudden movements are common. “That is why we built Level01 to give users the freedom to continuously update their bid or offer price relative to the implied fair value by FairSense, this is so that if the trade is not a match, the bid or offer price is updated continuously as market moves to ensure that it is always priced competitively relative to the most recent fair value” adds Vysniauskas.
HOW DOES FAIRSENSE WORK TO LEVEL01 USER’S ADVANTAGE? For the purposes of explaining how FairSense AI helps users on Level01, we take a look at this case study of a Binary Option Example on EUUSD Forex Pair.
A 10-minute binary put option is being offered at a $59.73 (fair value +$0.50). The order is not filled or matched almost immediately, and after 4 seconds, the EUUSD spot price has moved by 1.5 pips and the fair value has not moved above the investor’s offer price.
In this case, a contract is being offered below fair value.
Now take a look at Chart 01 below. You can see that the relationship of the fair value of an option with the spot EUUSD price. You can tell that the fair value is highly dependent on the spot rate. Thus, if a retail investor submits an offer to an exchange, it might be filled at a time when it is already below the fair value — an undesirable scenario for investors. Such scenarios will stop investors from submitting further offers to the exchange.
To resolve this common problem, Level01’s FairSense AI enables all investors to quote ‘relative offers’ to FairSense’s fair value. This allows investors to simultaneously compete for the best offers without imposing them with a requirement to have their own algorithms for price estimation and having them continuously updating the quote manually.
In many ways, having AI as the norm will become essential to creating investment outcomes that are optimized for every type of investor, truly transforming the way trading is done. With an advanced Blockchain platform, AI and inbuilt frameworks that are designed to favor the user, Level01 will shape the future of automated trading on its Peer to Peer Derivatives Exchange at scale and speed that the world will come to marvel.
Pros & Cons Of Forex Trading Vs Binary Options Access. Forex trading – The currency market is not a centralised marketplace but instead spans across several major financial centres in different time zones. Banks, institutions, and individuals can therefore trade forex flexibly 24 hours a day, 5 days a week. Binary Options Vs. Forex. Partner Center Find a Broker. Binary options trading has long existed over-the-counter, only experiencing a massive growth spurt in the last few years. Now, approximately 90 companies (including those who white label their products) offer some sort of binary options trading service. So okay, it’s a growing industry… But why should you involve yourself in it? Why ... To make money in binary options in the long run, you must win the majority of the bets. Since forex trading allows users to set their own profit targets vs. stop loss orders, traders can still make a profit even if they do not win the majority of their trades. There are of course some similarities between binary trading and forex trading. Both ... Binary Options Trading. Binary options is a simple trading instrument that can be used to earn money by guessing the future of the Forex, stocks, commodity and other prices. With binary options you either win if you guessed it right, or lose if you guessed it wrong. BinaryTrading.com is here to help you to win more often than lose. You will find here information on binary trading brokers, some ... I have tried both. Profitable is a strong word. Investing 100 dollars into forex, you may get only 5–10 dollars in a short time compared to getting 70–90 dollars in binary trading. Suppose your win rate is the same for either during the same time ... The forex trading allows to invest higher capital with the leverage allowed by the FX broker, but such facility is not available with the binary options trading. This allows the forex trader make higher winning with limited investment but in the case of the binary trading, the trader can only allow investing the money which is available on the account or the amount which is restricted as per ... With binary trading, you know precisely how much you stand to win or lose with every trade. The way to manage this when it comes to Forex is to put a limit/stop on the trade so that you don't go past a certain level. Due to the fixed losses, many traders prefer binary vs Forex as the risk is lower and the amounts more manageable. Binary.com deliver advanced forex trading via the MetaTrader5 platform and 3 Account Types: Forex.com are a leading forex broker. Offering the largest range of currency pairs (80+) and some of the tightest spreads in the industry. GBPUSD Spread; 1 pip var: 1.0 Var: EURUSD Spread; 0.5 pip var: 0.7 Var: EURGBP Spread; 1 pip var : 0.7 Var: Assets; 45+ 80+ Cryptocurrency: Cryptocurrency Trading is ... Binary options trading has experienced significant growth over the past few years, but its popularity does not mean that it is the right investment for everyone. While binary and Forex trading could offer noteworthy profit potential, they are quite different and may not serve the same needs. Find out which one is best suited to you. Forex trading involves buying one currency and selling another currency at the same time. This is why you always see them quoted in pairs. For example: EUR/USD and GBP/USD. Which currencies can I trade. Forex trading involves buying or selling these "currency pairs". When you buy a currency pair such as EUR/USD, it means that you are buying the EURO and selling the USD at the same time ...
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