The New MG concept car explores with leather on the exterior too!



Sun. Wind. Action. Three words describe Arash Shahbaz’s roadster concept design for MG. The car comes at a perfect time, along with the brand’s renewal after being one of the most promising carmakers of the yesteryears. With a rather playful design meant for easy riding, paired with a carefree lifestyle, The New MG concept by Arash is cute, but not too cute. It looks like it could take a challenge, and comes with an aesthetic that even die-hard gearheads would fall in love with.

At just 4 meters, the new MG isn’t particularly long, but the designer makes great use horizontal lines to make the car feel long, rather than compact. The circular headlights are fitted within the car’s outer frame, doing a hat-tip to retro circular headlamps, but being modern nevertheless. The taillights scream unique and modern too. The most interesting detail, however, is the usage of leather straps to fasten the bonnet and the boot. Rather than relying on clip-based push-button systems, the new MG makes an executive decision to keep things old-school, with the leather strap that weaves through the outer body of the car, holding the bonnet and boot closed. Opening them would mean manually undoing the leather strap. The designer believes it’s interactions like these that make one feel more involved, and form an emotional bond with the car… something that’s lacking in today’s ultra-flashy touchscreen control panel dashboards.

The New MG aims at echoing the brand’s journey. It wants to stick to its heritage while reviving itself with a fresh set of rules and features. I’d say it does exactly that!

Designer: Arash Shahbaz













from Yanko Design

Our August Talks at Google roundup: the ultimate spectator sport


Editor’s Note: Talks at Google is our regular series that brings interesting speakers and brilliant minds from all industries and backgrounds to Google campuses. Each month, we select a few favorite talks from that month, or about a particular topic.

While the world spent the past couple of months watching the World Cup, we dug through our Talks at Google archive to find inspiration from athletes who have stopped by Google. Check out a few of our favorites: one athlete rides waves, another crushes miles, two play on a field, and the other does his toughest work off the court. And they all have stories to share.

Bethany Hamilton | Talks at Google

Bethany Hamilton

Born and raised in Kauai, Bethany Hamilton lost her arm to a shark attack at age 13, but she didn’t let that stop her from riding the waves she’s surfed her whole life. After waiting a month to get the go-ahead to get in the water, she learned how to surf with one arm and she didn’t stop there. She founded a nonprofit, Friends of Bethany, to help young female amputees and is very passionate about working to help young girls. Bethany shared: "So many times in life we all go through different challenges and struggles. I’ve found in my life I’ve hugely relied on the things that I’m passionate about to kind of overcome and give me motivation and hope that there’s a future beyond this momentary struggle and pain.”

Shalane Flanagan & Elyse Kopecky: "Run Fast. Eat Slow." | Talks at Google

Shalane Flanagan and Elyse Kopecky

Four-time Olympian and New York City marathon champion Shalane Flanagan, along with her college roommate and fellow runner Elyse Kopecky, have a lot of miles under their belts shoes. Over the course of their careers as runners, they’ve struggled to find a healthy, yet satisfying approach to fueling up for their runs. So together, they came up with the concept of “indulgent nourishment” (and wrote a cookbook about it), based on the idea that you don’t have to deprive yourself of the good stuff to stay healthy.

David Beckham | Talks at Google

David Beckham

It’s been a while since David Beckham came to Google, but his perspective is just as interesting six years later. After discussing the future of soccer in the U.S, the music that gets him pumped before games, and how his family has factored into the biggest decisions of his career, Beckham answers questions from fans around the world.

Keyon Dooling: "Mental Health in the NBA" | Talks at Google

Keyon Dooling

“In doing the therapy process and going through the healing process, I was able to identify and recognize all these emotions as a man I never allowed myself to feel.” From NBA player to mental health activist, author, speaker and nonprofit founder, Keyon Dooling shares his inspiring personal experience with mental health and how he’s working to help others. He also gives insight into what the NBA is doing to support the mental health of its players.

Javagal Srinath: "His Cricket Career and the Future of Technology in Sports" | Talks at Google

Javagal Srinath

Javagal Srinath was the fastest Indian bowler (for non-cricket experts, this is similar to a baseball pitcher, the person throwing the ball at the batter) of his time and inspired many by being one of the most successful Indian cricket players of all time in the world. When discussing his journey through the sport he talked about how he juggled getting his degree while playing the sport he loves. He shared advice given to him by an old mentor, “To think better in life is where education comes to your rescue and not for anything else … whatever you become in life you have to have education as the base.”

from Official Google Blog

Read Reddit’s Favorite Life Hacks

It’s a Reddit upvote, but it’s also an all-seeing eye! Visual metaphors!
Photo: Daneil Hansen

Redditors are sharing their favorite “life pro tips” in an AskReddit thread, and we’ve collected the best below. Strung together, they feel like a mundane modern Art of War: briefly worded tactics and strategies for fighting the good fight. Learn tricks for falling asleep, starting hard tasks, and calculating percentages.

At home

“Blink [your] eyes rapidly for a minute before bed to tire yourself out,” says wag234. (Results, say other redditors, are mixed.)


“Don’t put it down, put it away,” says Decim8r. The most important rule of a tidy home.

When you get up in the night for the bathroom, says dhp2d, keep one eye closed until you’ve turned off the bathroom light. Then switch eyes, to use the one that’s still acclimated to the dark.


Using your hands like a squeegee, wipe the water off your body before you get out of the shower, says a-r-c. Essential for hairy people who otherwise end up with a sopping wet towel and a lake on the bathroom floor.

“If you spread your cheeks as you sit down, you have a lot less wiping to do,” says repliers_beware. I’m not sure how this works, but some redditors really seem to like it.

“Open a bag of chips and roll the bottom in so it creates its own self-standing bowl,” says oxfouzer. “People are always impressed.”

Similarly, says MrBrotatoHead, when you put messy stuff in a Ziploc, roll the top outward first, to leave the zippy part clean until it’s time to close the bag.


“When the power goes out, search for wifi networks on your phone to see if everyones power is out,” says sunnytimes68.

As soon as you get home, says mystifiedmeg, set a ten-minute timer and tidy up. You can do this when you’re not tired from being out, and the timer will still help the cleaning feel like less of a slog.

“Saran wrap/cling wrap goes in your freezer. That makes the product actually work.,” says CeadMileSlan. “It won’t stick to itself & crumple when you try to tear off a sheet.”

To quickly cool a bottle or can of beer, says RandyOwl, wrap it in wet paper towels and stick it in the freezer for 5–10 minutes. But don’t forget it or it might explode on you!

“Use pistachio shells to open the really hard to open pistachios,” says Almidas.

Ethaniac blew our innumerate little minds: “X% of Y is equal to Y% of X. It’s made my mental math so much easier.”


Do you ever send emails too early, or do you frequently regret not giving them a once-over? Write your whole email before you fill in the “To:” field, says million_monkeys.


“The comma and period keys move YouTube videos one frame backward and forward, respectively,” says Poppamunz.

At work

“If you are nervous about any kind of public speaking, volunteer to go first,” says Pinki3663. You get more time to relax, less time to worry, and you get graded on a curve because everyone else is worried about their turn.

TheHeroHere shares the dumbest productivity tip that really works:

Have to get something done and don’t want to start it? Count down from 6 and force yourself to do it. I have no idea why it works, or why the number 6 was chosen, but I applied it to the menial tasks in my life I don’t want to do and it’s worked extremely well.

“If something takes less than 15 minutes just do it right now instead of putting it off,” says downwithwindows. How about 2 minutes?


When addressing someone else’s mistake, focus on the mistake, not the person who made it, says katie001x. “The attachment didn’t come through,” not “You didn’t send the attachment.” This keeps the momentum toward the solution, not toward defensiveness. (LizTheTired says there’s more of this advice in the book Change Your Questions, Change Your Life.)

On large projects, “focus on the path in front of you rather than the top of the mountain,” says ClassicManAC.

In the world

“Instead of saying ‘I know,’ say ‘You’re right,’” says joemac1505. They’re right.


“If I’m planning on buying something but last minute decide against it, I take the money and put it in savings,” says macabremaven.

“If you get a prepaid Visa gift card, save it with like $1 or $2 and use it to sign up for free trials without having to worry about using your actual credit card,” says -eDgAR-.

“Get a dashcam,” says ColorsByVest. It’s useful if you’re ever in an accident and need to show what really happened, but CBV found it also made them a safer driver. “With the dashcam, I drive like there’s an insurance broker riding shotgun and a jury in the backseat.”


“If you want a perfect high five, look at the other person’s elbow,” says SammyWatkinsIsMyHero. Share this high-five how-to so people know how cool you are!

This social tip from twopacktuesday might be awkward, but we’ve all been trapped in a conversation so boring that we just might try it: “If someone won’t shut up, drop something. They’ll pause when you go to pick it up. Use that opportunity to speak, as you pick up whatever you dropped.” Better than faking a phone call.

We’ve used this to get many blog posts started: To break out of writer’s block, “write one sentence and see where it goes,” says PolarbearSafari. “Don’t overthink it or criticize the ideas, just jump in and do it.” As stereophony puts it, “Create something today even if it sucks.”

To avoid the sidewalk shuffle when you’re crossing someone’s path: Look at the direction you want to go, says waldothewalnut. When approaching a group, slow down and they’re more likely to make room for you, says SeniorSoil. And avoid eye contact, says Panda_Bowl. Be a slow-moving object with a predictable path.


“Check the pressure in your spare tire and know how to use the jack before going on a trip,” says Back2Bach, making me nervous about my first-time car rental next month.

This beach tip doesn’t come up as often, but it saved pingpongnunmul’s life: “When you’re caught in a riptide, swim PARALLEL to shore, not directly forwards, in order to escape.”

Donglosaur has a good tip on flirtation signals:

A long time ago I remember reading a thread about signs that someone is interested in you. the one I remember the most clearly is that they’ll look at you if they see or hear something funny. It helped me resolve exactly one potentially uncomfortable situation in my life, making it by far the most useful advice I have ever gotten from reddit.

Of course, that look might just mean they care about your opinion. Don’t go wrecking homes because your friend looks at you like Jim Halpert looks at the camera.


Constantly losing your kids at Disney World? Try this tip from Never_Been_Missed:

If you’re at a large park or event with your kids, take a picture of them just as you walk in the door. If by some chance they get lost, you have a picture that shows exactly what they look like and what they were wearing.

There are hundreds more tips in the Reddit thread. So instead of following any of the productivity tips, waste your afternoon reading them all!


What “Life Pro Tip” have you learned from Reddit that you still use every time the situation presents itself? | AskReddit

from Lifehacker

Most Asked Questions About Algorithmic Trading


Questions About Algorithmic Trading

By Viraj Bhagat

Much has been said about Algorithmic trading and quite something has been written about it. There are introductory videos and guides available online as well. Although there exist only rare courses like EPAT™ that really aim to turn people into professionals. There are opportunities like the Ask Me Anything session on Algorithmic Trading provide you with the opportunity to put forth your queries on an open platform and get them addressed by industry biggies.

We have listed some of the most relevant questions about Algorithmic Trading in this article which have been put forth by many individuals. You could also check out this article about 7 things you didn’t know about Algo Trading.

But all of this is much lesser when compared to the human intellect that churns out countless questions due to it’s very inquisitive and exploratory human nature. And why should it not? It is in our blood to ask questions. Questions like:

What’s going on with Algo Trading today?

  • 75% of global trades are executed via algorithms.
  • 35-40% turnover on Indian exchanges is via Algo Trading[1]
  • Growth in leaps and bounds with a multitude of institutional investors, individual investors, traders, etc.

Why go for Algorithmic Trading?

Why Algorithmic trading

What are the most commonly used Algorithms for Trading?

In India, Algorithms that use Application Programming Interfaces (API) are the most commonly used ones. Here, the investor selects the strategy, which he then programmes and are executed by the Broker.[2]

What affects Algorithmic Trading?

What affects Algo trading

But it doesn’t stop here. This is just what you should be knowing about Algorithmic Trading. Following are some of the most commonly asked questions which we came across during our Ask Me Anything session on Algorithmic Trading. The questions range from basics to some really interesting and professional ones.

You might get a Deja vu, looking at some of these questions and think… “Haven’t I thought of this before?”
If not, you’ll probably wonder “Why haven’t I thought of this before?”

So, here goes:

Frequently Asked Questions about Algorithmic Trading

Q1. What is Latency?

Reply: Latency is how much time you are losing out when you are sending out an order. Basically, it is the time taken by the order to reach the trading destination or exchange or how much time it is taking to process market data, order routing and much more.

Latency helps you to identify the appropriate infrastructure will set up your own desk. It also helps you to identify if you should be picking up a momentum based strategy or a market making strategy. All these questions become easy to answer once you know what latency your strategy can accommodate.

We have mixed all the concepts of all the different trading strategy paradigms with the latency.

Beyond the definition: What are the types of Frequency Trading?

LFT (Low-Frequency Trading) – If your trading strategy can accommodate a latency of half a second or a second without too much deterioration in the performance we can call it Low-Frequency Trading

MFT (Medium Frequency Trading) – If your strategy cannot accommodate that much but still accommodate a few ten milliseconds of latency, then you are talking about Medium Frequency Trading Strategies

HFT (High-Frequency Trading) – If your strategy cannot afford to have the disadvantage of even 1 microsecond that means we are entering into the game of High-Frequency Trading

Q2. Is it true that HFT/Algorithmic traders generally beat manual day-traders? Therefore if conventional trading reduces under a certain threshold HFT/ Algorithms lose their interest in that market? If it is, what is that threshold?

Reply: It is not absolutely true to say that High-Frequency Trading (HFT) generally beat manual day traders, it all depends on what kind of day traders we are talking about here. If you are talking about the day traders who are taking benefit from the arbitrage opportunities or market inefficiencies, then yes, machines can do such things much faster.

For e.g. If you are a manual trader and a good one, you can send one order in a second, in case you are really good then maybe 2 orders in a second and in case you are “superman” then maybe 3-4 orders in a second but not beyond that. While on the other hand a machine is usually limited by the throttle rate set by the exchange.

A machine can send thousands of orders in a second so there is no match here but if we are talking about the traders who are analysing the data and executing their orders in a manual way but are much more researched and are doing a lot of homework on their side, then no, it doesn’t matter.

To answer the second part of the question regarding the threshold, what we have seen is that greater the high frequency trading volume participation more are the number of players who are there for e.g. If you take the exchanges in the developed markets like the New York Stock Exchange (NYSE) you will be able to see that in some of the exchanges almost 80-85% of the volume is happening through algorithms with most of the HFT firms focused on these markets. In case of any threshold, all the HFT firms would have gone away. Same is the case in the developing markets, in India as well almost close to 45-50% of all the exchange volumes in the leading exchanges happens on algorithms especially on the derivatives side.

So the use of algorithms is not reducing. It is not true that in case there are too many algorithms than the HFTs will run away. The competition will heat up, some HFTs will go out of business and some will remain but that’s it.

Questions To Ask About Algorithmic TradingClick To Tweet

Q3. What if the market is excessively algo traded? Will it be counterproductive?

Reply: This is again an extension of the last question. Will the market be counterproductive? Not really!

When you say algorithms it essentially means that you have automated the executions, an algorithm does not always mean high-frequency trading. So if you are a retail customer and you are trading using an API offered by any broker, you are not really trading on a high-frequency basis hence you are not HFT but you are definitely algo, it just brings more efficiency.

If there is too much of algo and you are trying to trade the inefficiencies in the market then it can be a challenge just because finding those efficiencies can be really difficult but otherwise, it won’t be counterproductive. Another thing to add is that even for the inefficiencies, targeting them becomes a game of technology and infrastructure. So these factors give you a certain advantage.

For e.g. the kind of network you can have, the kind of systems, hardware that keeps on becoming more expensive.

So if you are focused on eating on the market inefficiencies more the HFT in the market it will be difficult to spot inefficiencies because the moment it is there, it is gone, and someone will take it away.

Q4. Can I quantify technical indicators? How about patterns and waves?

Reply: Yes, you can quantify technical indicators and it’s very simple because it is a set of mathematical formulae, whether they are quantitative or not it can be seen upon. But you can definitely quantify and automate them.

Yes, you can also quantify patterns and waves. Patterns with relatively much more ease; if you can think of something then the machine is capable of doing it because like our brain machine also works on logic. To elaborate on that some of the algorithms can be more complex when you are coding the logic and some of them can be easy to code.

For e.g. if you are drawing a trend line then it’s fairly simple, you are looking for two points and y=mx+c is what your formula for a trend line is and if you know the intercept you can create a line or if you know the two points you can calculate the intercept and create a line. That part being is not difficult, you can calculate the local maxima and local minima then you can draw the line. In case you are looking at something which has a lot of room for subjectivity that it can be more difficult.

Similarly on the wave side if you are trying to code an Elliott wave and have defined the wave rules very explicitly then it’s not that difficult but if you have kept a lot of room for subjectivity then, in that case, it will become very difficult. In fact, there are some tools available that are used for coding the patterns for these waves and we have also started working on such things which you should be able to see in the near future.

Q5. I am a WA LARP trader; do I need to learn algo since there are readymade software available?

Reply: It all depends what works for you. If the ready-made software is already working for you and you are happy with the performance then you just need to keep on evolving and experimenting because the same thing won’t work all the time.

Q6. Would algorithmic automation help to overcome the emotional shortcoming in trading?

Reply: Definitely! In fact, this is one of the benefits of automating your strategy.

Controlling the emotions, giving you the scalability, giving you the bandwidth that you can use to work on the strategies while execution is carried out by the machines are some of the key benefits that you get by automating at any scale.

Unless if you are interfering with your port all the time then nothing can help you but assuming you are not doing that then yes automation can help.

Q7. Is HFT for a retail trader? Is algorithmic trading for retail traders?

Reply: Is algorithmic trading for retail traders? Probably yes, if you have the right skills.

But HFT for retail traders is definitely no because HFT is more of a technology game. Don’t get misled by someone if they say now you are a retail trader, you can go for HFT. This can be if the person doesn’t know what HFT exactly means or he doesn’t know what a retail trader means.

You would need to spend a reasonable amount of capital before you go and start trading HFT strategies. That does not mean you cannot do algo, algo you can.

But if you are planning to do cash future arbitrage or calendar spread or some basic put call arbitrage using a retail platform then probably you would not be seeing much success based on that.

Q8. Can C++ language be used for algorithmic trading? Does Java matter in algorithmic trading?

Reply: In most of the HFT firms, if you are on the high frequency and low-latency side C++ is the preferred language, since it is the fastest and you are concerned about every microsecond. In case you are not concerned about that then you can have any other language, it doesn’t matter, and it doesn’t add that much latency that you should be concerned about. So yes, C++ language can be used.

Can it be the only one that can be used? If you are doing HFT then most likely yes but not otherwise.

Another important thing to know is that these programming languages are not just here to code algorithms or strategies but it also helps in doing a lot of research and analysis, so that is something which is more popular in R and Python. Even in the HFT test you will see a lot of analysts using R and Python for backtesting and evaluate the trading strategies. When it goes to production, the algorithms are coded in C++ for HFT. But for medium and low frequency any of the languages should be fine.

Q9. I trade a system wherein the hit ratio is 45%, avg profit/avg loss=1.75. Trades are 2-3 / month but there are back 2 back losses at times even seen up to 7 losses in a row. This particular difficulty stops me from increasing my trading quantity even when capital is positive. Can u suggest a solution?

Reply: This is just limited information here but what I would suspect or what I would guess here is that something wrong in the backtesting parameters or the output parameters, there can be some room for optimization there.

In the quant trading strategies, you look at the sortino ratio as well as different ratios including the one basic thing that every trader looks at is the drawdown. So there is one basic but not so popular concept of in-sample and out-of-sample trading which is that you do not optimize your backtesting on the whole dataset that is available to you, you take it down to in-sample and out-of-sample data. In the in-sample data you do all the optimizations you want to do and then you run the strategy on the out-of-sample data on which it has not been optimized and you check how the performance is or in your case how the drawdown is. If the drawdown is too high then you need to curve a bit volatility in your strategy which is too high for a risk and if it is showing results which are giving back to back big losses in the out-of-sample data. So this is something that can help you and you might get some confidence in scaling up your strategy.

Q10. How can we understand if a market/trading venue is saturated in terms of HFT/Algorithmic trading? For example, as an HFT firm, I’m considering to enter into a new market. How important for me the existing HFT ratio in that market?

Reply: As we discussed earlier the HFT ratio just tells you about how much competition you can expect. If your strategies are plain vanilla arbitrage strategy then the HFT ratio would suggest that it might not be a good idea to venture into that market. If your strategies are not plain vanilla arbitrage strategy but are more intelligent, use more data analysis results and use more statistical data with some decent predictions, then, in that case, it might not matter that much.

High HFT definitely means that if you want to venture into the plain vanilla arbitrage strategies or even to certain extend market making strategies, you would need to have a technologically very strong infrastructure base on your end.

Q11. What is the exact meaning of total bid quantity and total ask quantity? Who those are about to purchase but nothing bought yet to sell and vice versa where their numbers will be counted? Who those are already purchased but not sold yet and vice versa where those are there numbers will be counted?

Reply: Total bid quantity and total ask quantity are simply what is there to buy and to sell for people out there, it does not give you an indication that how much has been traded. It just tells you the market picture that ok these many people are out there for these many quantities they are there to buy on the bid side and sell on the ask side.

Q12. In India do you see any decrease in conventional trading volumes after HFT traders entered into the market?

Reply: Definitely, Yes.

In India, you used to have these big proprietary trading houses which would employee 500-1000 dealers, these are the guys who kept on doing in and out. Jobbers is what the common term here.

These jobbers would be reading the screen with not too much of analysis but will be taking a position and try to exit within a few seconds or a few minutes of time. Also prior to doing a lot of arbitrage strategies all those things were very popular but with algos, all these things are very much and easily replaceable by the machines, so that’s what has happened. Those kinds of firms had to shrink but most of them have changed their strategy and business model and moved more on the quant oriented side. So that was the change we saw in India.

Q13. I am a software professional from data science background how soon I shall be able to make a modest algorithm?

Reply: I think that’s a pretty strong background from the algorithmic trading point of view. I would assume you already have a good grasp of statistics and programming, now quant trading is the thing you need to pick on. So if you have a good understanding of statistics it should be relatively easier but still depends on where you will be starting from on the financial market side. I can’t answer how many months it will take but you got 2 out of 3 so the priority is on your side.

Q14. Is fundamental indicators data fed to the programme manually?

Reply: If you are talking about the PE ratio or typical fundamental like the growth and macro-economic data (like GDP), you can feed that manually or you can feed that using data software as well. There are companies that do provide you data (machine-readable economic data), so you can feed that data and the algorithm will read your data as and when it gets published and you can pre-code your strategy based on the results and send orders accordingly. So all of this is possible, not so common in the retail space but there are tools that are coming up now that can be used in retail as well. Some tools can also read or scrape the data on news or web directly.

Q15. What are the advantages and disadvantages of doing HFT for the non-Indian markets from India?

Reply: This will fall more on the recreation side than anything else. It is certain that as an Indian you cannot send out money to trade into margin products listed on the foreign exchanges. Unless you have an RBI approval I don’t think that you can do that. But if there is a company (global company) out there which has outsourced its trading to you then probably you can but I am not sure. One thing I am sure of is that you cannot send out money, you can send out money for investing but you cannot send out money for trading on margin.

Q16. Shall a trading venue have concerns about losing its retail trading volume after HFT entering the market?

Reply: Absolutely not!

I don’t know any empirical evidence about that since retail is generally not known to do arbitrage. Retail does take positions; they buy stock, trade in commodities. They are generally taking directional bet most of the times but in case there are no HFTs in the market, then the bid-ask spread that retail traders will be paying will go relatively higher.

If the HFTs are there then the markets will be much more efficient which means they will be paying far less bid-ask spread. In fact, there was a study by Aite Group (leading analysis agency in the HFT domain) about 2 years back which mentioned that an average American retail trader saves almost close to 250 USD just because of the better bid-ask rate that is happened due to the presence of high frequency and algorithmic trading.

The market is much more liquid in the presence of HFT because HFT has the technology and infrastructure which reduces the risk factor that narrows a market. In case, something drastic happens, a big change in the economy, particular stock result, management decision, anything of this sort, the HFTs can react much faster. They have the confidence since they can afford to create narrower markets 99.99% of the time, which would not be the case if you add speed bumps or take away that confidence or comfort for the high-frequency traders. So again, that’s why you see much tighter markets when you have HFT otherwise the bid-ask spread rate is much higher.

Q17. Flash boys novel paint HFT as unethical, do you subscribe to that view? Should having system(s) with higher computing power give you the right to confront the little Joe?

Reply: If you find someone doing something illegal or not conforming to the rules or regulations than obviously that is incorrect and that should not happen, it is independent of which domain whether it is financial markets or e-commerce or high-frequency trading or fund management.

The ‘Little Joe’ typically says a lot about the transition cost being paid because a lot of HFTs are there. The HFTs are taking away the arbitrage opportunities because they are making the market more efficient. As far as my personal view goes the retail trader cannot be hurt by anything that the HFT does, the advantage that an HFT gets over a medium frequency trading firm or a broker or retailers is of micro or milliseconds.

A retail trader sends its order through a web-based browser which means they already have a latency of a few milliseconds so you as a retail trader are not going to get affected. If an HFT is doing anything getting an illegal access is a different thing but even in that case I doubt if the retail trader will get hurt as brunt will be borne by other HFT firms who are following the rules, the illegal access will give them an edge of few microseconds which is a big deal for other HFT firms but not for the retail trader.

Even in the case of colocation facility I will have an advantage of few milliseconds and there is nothing unethical in that and if you are putting me 100-200 miles from the market then I will definitely lose on some time but I will have my quotes set wider accordingly.

Q18. How many hours does a quant analyst spend on coding per day?

Reply: It depends on what kind of quant analyst you are but typically it would be for the most part of the day. It would be a mix of R and Python; it can be C++ or other languages as well. There are huge numbers of languages out there; some of the platforms have multiple languages while of them would be creating a model based on VB script as well. Languages might differ but coding can be of a decent amount.

Q19. What are the different types of algorithms that can be used for automated trading?

Reply: There are a lot of them; again you would have to filter them out based on low frequency, mid-frequency and high frequency.

In case of high-frequency, the focus would be more on the arbitrage and market making as well as some of the directional strategies which would need a huge amount of faster computing.

In medium and low-frequency side you can automate any strategy from the automation point of view. Using the factor models you can even automate your fundamental investing to analyse as well as implementing the algorithm. Not sure how much will you benefit from that but from the analysis side you can gain a lot because you can scan through a lot many annual reports and lot many fundamental data for a lot of stocks which you cannot do manually but from an execution point of view it does not help that much. The point is that you can automate all kinds of strategies.

The popular ones include momentum-based strategies, statistical arbitrage, greek based options strategies, dispersion and sentiment-based strategies. There is a whole list of popular strategies about automated trading which is out there and yes we do cover a lot of web intercourse as well.

Q20. How is Algo trading helpful for retail traders?

Reply: From the recipient point of view if you are doing it manually and someone is out there doing algo then the benefit to you is the bid-ask rate and liquid market. In case you are on the other side where you want to do your own trading using algorithms, in that case, it gives you much more scale and the number of stocks on which you can run each strategy on. So instead of monitoring 5 to 10 stocks or 5 to 10 strategies that you can work on manually, you can take and multiple by 100s. Also, the emotional power and the analysis side can do a lot of wonders with the algorithms even if you are not doing the execution part with the algorithms.

Q21. I am an NRI doing trading in India via PIS platform, how can I do algorithm trading?

Reply: If you are an NRI you can do algorithmic trading that should not be a problem, you need to connect with the right broker who is able to cater NRIs and I think most of the brokers are able to do so. In case you are not of Indian origin and you want to trade in India then you can come as an FPI category 3.

Automation is allowed but there are some restricted stocks which you cannot invest in but that is a very small portion.

Next Step

We’re pretty sure, you’ll have some questions for us as well, and we would be glad to help you with them. In case you require any further guidance for an algorithmic trading career, feel free to contact us. If you are a trader, a programmer, a student or someone looking to pursue and venture into algorithmic trading then we have the Executive Programme in Algorithmic Trading (EPAT™) for you.

QuantInsti® aids people in acquiring skill sets which can be applied across various trading instruments and platforms. EPAT™ does just that. Its comprehensive curriculum covers training modules like Statistics & Econometrics, Financial Computing & Technology, and Algorithmic & Quantitative Trading and equips you to be a successful trader. Learn more about it here.

Disclaimer: All data and information provided in this article are for informational purposes only. QuantInsti® makes no representations as to accuracy, completeness, currentness, suitability, or validity of any information in this article and will not be liable for any errors, omissions, or delays in this information or any losses, injuries, or damages arising from its display or use. All information is provided on an as-is basis.


This 200-Foot Natural Waterslide In New Zealand Where Your Ride Down On Bodyboards Looks Like Heaven


I’ve always wanted to spend time in New Zealand and after seeing footage of this 200-foot natural rock waterslide I’ve got one more reason to add to the list. The Rere rockslide can be found on the Wharekopae River and it functions as a natural rock version of a slip-n-slide where people can ride down on their bellies or hop on a bodyboard.

This clip from Nat Geo Travel started making the rounds on Twitter and after that, I did some digging on YouTube and it appears as if this place is literally heaven on earth:

I love my home state of Florida but we’re seriously lacking when it comes to activities like rock slides and rafting. We’ve got some solid tubing rivers in natural springs across the state, spread out by hundreds of miles, but there’s nothing really comparable to this at all.

Growing up, I’d spend part of my Summers in the Appalachian Mountains in North Carolina and we’d hit up some awesome tubing areas where you’d get to slide down rock faces and down mini-rapids and for the life of me I haven’t been able to figure out the names of those rivers. I’d love to go back there and see if it’s nearly as cool as I remember from when I was like 8 or 9 years old.


An astronaut photographed the ‘blood moon’ from the International Space Station, and his pictures are haunting


alexander gerst german astronaut spacesuit nasa esa

An astronaut in space captured haunting photographs of Friday’s total lunar eclipse, also called a blood moon because of its eerie orange-red color.

German astronaut Alexander Gerst, a geophysicist and spaceflight veteran, launched toward the International Space Station (ISS) on June 6.

In the short time the European Space Agency astronaut has been in orbit, he’s done some stunning photography of Earth and the moon.

On Friday, Gerst watched and photographed the eclipse from his temporary home about 250 miles above the planet.

Here are a few pictures he snapped, plus some other share-worthy imagery he’s recorded over the past eight weeks.

SEE ALSO: SpaceX may still rocket 2 mystery customers around the moon — here’s what Apollo astronaut Jim Lovell says the trip could be like

DON’T MISS: 27 of the most iconic, jaw-dropping photos of the Earth and the moon from space

Astronauts on the space station see the moon many times per day because they orbit Earth about once every 90 minutes. It helps that their viewing platform is far above any clouds.

Gerst took this photo of the moon fading into Earth’s atmosphere on June 22, 2018.

Gerst trained on Earth to use all the photo gear at the space station before he launched into orbit.

In addition to being a steady shot, Gerst will be the commander of the Expedition 57 mission aboard the ISS.

On July 27, 2018 — when the moon was eclipsed by Earth’s shadow — Gerst was ready. The core of the planet’s shadow, called the umbra, colored the moon red because of the way Earth’s atmosphere refracts the sun’s light.

"Just took a photo of the lunar eclipse from the International Space Station. Tricky to capture," Gerst said in a caption for this picture. "The slight hue of blue is actually the Earth’s atmosphere, just before the moon is ‘diving into it.’"

See the rest of the story at Business Insider

from SAI

We need to embrace technological breakthroughs


Editor’s note: This article is a condensed version of a speech Caesar gave at Singapore’s Smart Nation Innovations Week Opening Symposium on June 5, 2018.

Humans have invented technology to help themselves and each other for centuries. While we often refer to technology as the shiny, new innovations like self-driving cars or voice assistants, its breadth is much more than that. Technology also includes the things that are so bound up in our daily lives that we have stopped thinking about them as technological innovations—things like language, clothes and shelter.

Despite technology’s pivotal role in human history, our response to breakthroughs is often to hesitate because we fear potential harm. But the world doesn’t stand still for anyone. As the past has shown, each of these technological breakthroughs presents another opportunity to improve people’s lives, and we need to embrace each of those opportunities.

The move online has opened up access to opportunity

Between 2000 and 2017, the number of internet users grew by 10X—from 360 million to 3.6 billion people. This massive migration online is causing an explosion of economic opportunity across the world.

Something as basic as an internet connection can mean the chance for a higher education, a new job or improved skills. In India for example, every month more than 8 million people use Google’s public Wi-Fi program, Google Station, to get online and access job training material or educational resources. Shrinath, a railway porter in Kerala, used the free, high-speed Wi-Fi at his public transit station to study for and eventually pass the entrance examinations to the Kerala civil service—a feat that would have been much more difficult if Shrinath hadn’t embraced the internet.

The shift to digital has transformed businesses

caesar smartnation keynote

Caesar speaking at Smart Nation about the need to embrace new technologies

It’s also opening up opportunity for businesses big and small. With access to online platforms, companies have more ways to reach customers and grow. And every business can benefit from digital tools, even the most traditional ones. Hai Sia, a 40-year-old family-run seafood wholesaler in Singapore, for example, was a largely face-to-face business in a bustling fish market. Today, they’ve reached new customers with digital advertising and other digital tools like YouTube videos that show the company’s work.

Technology isn’t just about digitizing existing businesses—it’s also creating new kinds of entrepreneurs and industries. Look at YouTube creators, who run businesses that were born on an online platform and that could not have existed before the internet. GO-JEK, a startup that started as motorbike-hailing company in Indonesia, has facilitated the emergence of a new type of business with their food delivery service: allowing home cooks to become restaurateurs. Freed from the costly requirements of renting a restaurant space and hiring staff, people can run profitable businesses right from their kitchens at home.

AI is the next big leap

Every major shift in technology has transformed how we live and work. In the early 1980s, the PC revolution made computers part of people’s lives and changed how we work. In the 1990s, the internet transformed how we find information and opened up new economic opportunity. Then, in the mid-2000s, smartphones brought all that knowledge into our pockets. Now AI is the next frontier. 

What excites me most about the shift to AI and machine learning is watching what younger generations are doing with the technology. Teenagers are using AI to create programs that more accurately identify plant diseases and even detect breast cancer. If our kids can use technology to conserve the environment and fight cancer, imagine what we humans can do if they use AI as one tool among many to improve citizens’ lives.

As we continue to explore what benefits AI can bring, we need to lean into this shift rather than shy away from it. After all, the world would be a very different and much poorer place today if our ancestors had given up on fire or language or the wheel. The reaction to technology we don’t know how to use well isn’t to stop innovating. The right reaction is to work harder and innovate even better so we can make technology work for everyone.

from Official Google Blog