What could an astronaut and ballet dancer possibly have in common? The answer is in their movement! In space, astronauts move almost as if they’re dancing between one place and another as they float around in zero gravity. Inspired by aerial and ballet dancers, this wearable, full-body device called Orpheus offers astronauts in the International Space Station an entirely new way of exercising.
The current Advanced Resistive Exercise Device is large, static and lacks versatility in terms of the range of exercise and muscles worked. Orpheus not only offers a major reduction in mass and volume (thanks to its aluminum and carbon fiber composition), it also gives astronauts the ability to move freely while placing resistance on the muscles. It’s not only adjustable to suit each user’s unique body shape and size, but programmable to provide fitness routines and muscle training techniques that can be user adapted. Users can even comfortably move about the station as they work and train their bodies simultaneously.
I did something very dumb last weekend: I decided to challenge the limits of artificial intelligence and my own body on a 13.1-mile course to glory.
My body held up fine — but the AI couldn’t quite keep the pace, serving as yet another reminder that current AI tech still hasn’t caught up to the hype.
I had been testing out Vi, a set of $249 Bluetooth running headphones with its own built-in AI assistant and biometric tracking features. The headphones are comfortable on long runs with a neck harness design and in-ear buds for great sound — but the AI assistant is the main attraction here. It’s like Siri and Alexa with a fitness-focused twist: Vi is designed to train its users to be mile-churning super runners.
I wanted to really push Vi to see what the AI was capable of outside of basic runs, and I was craving a new fitness challenge to spice up my workouts — something that could take me from a casual runner logging intermediate distances to a true blue marathoner, or at least help me manage my pacing.
After a convoluted series of events in which I was offered a potentially illegal entry to the Brooklyn Half Marathon a week before the race, I found my adventure: I decided to run my own 13.1 miles in the Prospect Park Loop with nothing but the AI headphones to guide me, using Vi for a crash training course to prep in less than a week.
Vi checks all the boxes seemingly required of an AI assistant: it has a catchy name, a disembodied-yet-reassuring voice, and, unfortunately, not nearly as much functionality as you’d expect from your fancy new gadget-based friend.
Vi doesn’t offer much more than other running apps I’ve used: It tracks the distance you run, measures your heart rate, and offers some realtime coaching direction to fine-tune your step rate to find your ideal pace, which it calls your “Comfort Zone,” — but it leaves much to be desired as a next-gen personal trainer. It currently has no dedicated feature to set specific goals, so users prepping for races like me have no guide to train for big events or set more defined goals than just fine-tuning their running style.
Vi and me, just getting to know each other.
Image: lili sams/mashable
Putting Vi through her paces
I decided to take the challenge on a Monday with the race on Saturday. That gave me four days to get ready for the half marathon.
A quick note for you, dear readers: Don’t try this at home.
Runner’s World suggests committing between 10 to 14 weeks to train for a half marathon, especially for novice racers. I’m active, and run roughly the equivalent of 10 miles a week between jogging and Muay Thai training, but I had never run a road race or jogged over seven miles in one go before this adventure. This was a capital-B Bad Idea, to which I committed for the noble cause of #content and living my best #runlife.
Vi didn’t give me much to go on during the pre-race training sessions. The AI noted we had taken our longest run together, but since it was already accustomed to my step rate, it didn’t give me guidance other than when I left my “comfort zone” and at the end of the workout when I hit my target distance.
When I took to the park loop for the big run, then, I wasn’t sure what I could expect from Vi or myself. I synced up the Vi app for a 13.1-mile Distance Run, put in the earbuds, and took off.
As I ran, I noticed again that Vi wasn’t providing me with insights on my running technique, which is what you’d pay for with a personal trainer or coach. After each mile, Vi told me my split time and distance covered, which was helpful — but I was getting the same data from Map My Run, a GPS tracking app that doesn’t boast AI functionality.
I was able to track my heart rate and speed — but those measures couldn’t give me much to go on in the moment.
I made it!
I finished the race, but I felt like Vi left me hanging. My last three miles were actually faster than the 10 before them because I wasn’t sure how to pace myself, which is one of the first orders of business for a trainer to establish in the lead-up to a long race.
AI assistants aren’t quite ready — yet
The issues I had running with Vi reminded me of the problems I’ve had using other voice-based AI assistants. The novelty of being able to talk with an otherwise inanimate object loses its luster quickly when that conversation goes nowhere, as anyone who has struggled to pry more than just a basic Google search out of their phone’s AI can tell you. That frustration goes double when you’re out of breath after running for an hour.
Vi didn’t launch as a fully-realized personal trainer, which reminds me of another notable AI assistant: Samsung’s Bixby. The much-heralded AI got its own dedicated button on the Galaxy S8, but when the phone launched in April, Bixby wasn’t ready for the party.
Bixby’s failure to launch was a misstep for Samsung, and just the most recent evidence that the current reality of AI isn’t exactly on par with the hype surrounding it.
That doesn’t mean Samsung’s assistant will ultimately fail, especially considering the world of AI it will help to shape. Many of the most exciting recent developments from Google and Microsoft focus on practical AI applications, which aim to bring the sophisticated systems to just about every one of their products and programs.
Even Vi looks like it will much more to offer in the near future. The company’s reps tell me the AI just got some essential upgrades, including new insights and prompts to give users during runs to take advantage of its capabilities. Most importantly, a dedicated race prep functionality is due for release later this summer. Those tweaks could make Vi a fully actualized trainer, rather than just a cool pair of headphones with some fit tracking features.
Once that race training feature has a chance to find its legs later this year, maybe I’ll give Vi another shot. I only finished half a marathon with her in my ear, after all — we’ll have a much better chance to get comfortable with each other over a full course and 26.2 AI-aided miles.
Andy Rubin, the founder of Android and the brain behind the quintessential early aughts phone Sidekick, is back, and this time he has his sights on taking over your home.
After months of teasing, Rubin on Tuesday finally debuted his new company, Essential. The company’s first and primary offering is a phone, but they also announced a competitor to the Amazon Echo and Google Home, also called Home. Rubin’s device is an intelligent speaker and smart home hub, and can be activated by voice, tap, or even a glance.
Yep, that’s right, Essential claims you can activate the home device by simply looking at it.
Essential is far from the first company to employ eye-tracking, which has found applications everywhere from gaming to advertising. Still, it’s terrifying to think of a device in the home that’s constantly watching for you to look at it.
For now, the Essential Home seems to be in concept stages and the released images appear to be renderings rather than photographs. Home comes with its own operating system, Ambient OS, which is an Android-esque approach to software for home devices. The platform is open source and intended to be expanded upon and used with all major software and hardware platforms.
The device reportedly works with SmartThings, HomeKit, Nest, and other smart home platforms, as well as with Alexa, Siri, and Google Assistant. Home has both a screen and voice control.
The intelligent assistant can do many of the same things as its competitors, and some self-proclaimed differentiators like “take note of your routines and let you know when something feels off or if a light is left on,” the company said in a blog post. The home is intended to be a hub for all smart home products and connected devices.
“Think of it as an orchestra conductor for your digital instruments — something that can get them to start to work together in new, exciting ways,” the post noted.
Essential is entering a fairly new market but Amazon has a huge head start. Essential’s Home comes with a screen, like Amazon’s Echo Show, and will include proactive notifications like Google Now.
Essential wants to differentiate itself by putting privacy first and limiting cloud usage, the company says. “Essential Home will directly talk to your devices over your in-home network whenever possible to limit sending data to the cloud,” the post stated.
While the Essential Home makes bold claims about being a completely new approach and aims to “feel like you’re interacting with your home, not a gizmo in your living room,” however there’s too little information to actually back up any of the claims. That said, the product is still new so its true capability remains to be seen. According to Wired, the device will come later this year.
I have always had a strong sense of urgency. I think it’s a pretty common characteristic of entrepreneurs. After all, if we liked the way things were, we wouldn’t be so convinced we could do everything differently and better. And we wouldn’t be so good at persuading people to give us their money — or leave perfectly good jobs — to join us in our craziness and make it happen.
That sense of urgency has been the source of most of my successes — and failures. Investopedia is my seventh company, so I’ve had time to learn when that entrepreneurial fire works for you and when you need to bank it just a little to keep it from burning down the building. Here are three tips that I’ve found most useful in harnessing my intensity to become a more effective entrepreneur.
1. Don’t conflate “figure-it-out mode” and “scale mode.”
One of the biggest mistakes I’ve made due to my urgency is trying to scale businesses before they were ready.
As a newly-minted MBA from the University of Pennsylvania’s Wharton School, for example, I was given the opportunity to develop a new technology for Duane Reade that facilitated video conferencing with pharmacists (that was pretty new in 2003!). We developed a kiosk for ordering and delivering prescriptions, placed it in a few hospitals and physicians’ offices, and saw incredible initial usage.
I decided to scale from about five to more than 100 kiosks within a year. But, the kiosks broke down so frequently (and cost so much to repair) that the company paused the business. We scaled way too fast, which is especially dangerous when dealing with hardware and new technology. Learning: Take a breath after you launch. I scaled up when we should have tried to understand the customer metrics and gather qualitative and quantitative data.
That doesn’t mean your product needs to be perfect to launch. On the contrary, you want to launch something as soon as possible in order to get to the all-important “figure-it-out mode.” At Investopedia, MVP doesn’t mean Most Valuable Player. It means Minimum Viable Product, a concept I’ve happily stolen from The Lean Startup by entrepreneur Eric Ries. (I like the book so much that I urged Investopedia staffers to read it at our in-house book club.) What it means is, don’t invest too much time or money making a product perfect before you try it on customers and use their feedback to improve your initial idea before scaling up.
2. Learning from failure is more important than learning from success.
In my five years as an executive at 1-800-flowers.com, the experience that was the most meaningful and formative was ultimately a failure. It was a business area I ran at one point that rapidly grew from zero to close to 20 percent of the company’s profit, but with a questionable user experience. The company and I loved the dramatic revenue growth and blew past other execs who worried about our customers.
They turned out to be right: While we made strong short-term gains, it hurt us in the long term. We started to hear from more and more customers that, due to the new service I had started, we had lost their trust and future business. A reputation can be lost very quickly; it simply isn’t worth short-term, non-repeatable revenue. I have become a far greater champion of user value above all other decision criteria from this experience.
Entrepreneurs need to understand that the goal of a startup is to learn and that making mistakes is the most productive way to drive real learning. With a success you may not know why you succeed — and in fact, it may have been just good luck or fantastic timing. But when you fail, you almost always can figure out why.
3. The right number two is as important as number one.
As a CEO, choosing the right Number Two is another place where urgency can be the enemy of success. So can feeling too comfortable with your potential choice. You need someone who can compensate for your weak points and give you more reach than you’d have on your own.
On a personal level, our current COO and I could not be more different. I’ve worked at seven companies. He has worked at two. I am completely non-technical, he is a former developer. Many of the ways in which I need to improve on as a leader are his strengths and vice versa. The danger points for the company are the areas where we overlap: Left to our own devices, we can over-emphasize analytics or new business development. If you’re choosing a co-founder for a brand-new start-up, these rules hold even truer.
It’s harder than you think. Just last month I almost hired an incredible VP of sales. Our chief revenue officer and I were going to pull the trigger on the hire. Then something began to bother me. After a couple of days I figured it out. Everything that I liked about the VP, I loved about our CRO. The VP was basically a less experienced version of our CRO. What we needed was someone who truly complemented our exec, who would bring healthy tension to the job. We ultimately hired another candidate who is the “yin” to our CRO’s “yang.”
I feel honored to teach entrepreneurship at both Columbia University and Pace University. I try to drive home and reiterate each of these three concepts frequently, as those who don’t learn from the past are destined to — well, you know.
David Siegel is the CEO of Investopedia, a leading online source of timely, trusted and actionable financial information for every investor. He is also a professor at Pace University and Columbia University, where he teaches venture capital…
Ever wonder what an autonomous vehicle ‘sees’ via its sensors, on-board computing and sensor fusion system? This video from Civil Maps, the high-definition maps technology company backed by Ford, reveals some of what’s going on when it comes to combining detailed 3D maps with sensor data culled from LiDAR, optical cameras, radar and other on-board vehicle hardware used to take stock of the world around an autonomous vehicle.
Civil Maps Product Manager Anuj Gupta explains how its technolgoy localizes a car in six degrees of freedom (a term you may be familiar with if you follow the virtual reality industry), across both x,y znd z movement axes as well as on roll, pitch and yaw rotational axes to help a car focus its sensors exactly where they need to be paying closest attention on the road at any given moment.
This results in computational power and sensor load savings, which is huge when you’re an automaker trying to balance cost of producing an autonomous driving system with putting something safe and effective on the road.
Of course, Civil Maps is trying to prove the usefulness of its product, which it wants to sell to autonomous technology companies for obvous reasons. The proof is in the pudding, however, and that’s why the team shot the video below, which shows the car’s localization and mapping tech at use in a test vehicle driving at speeds up to 70 mph on a major highway in Michigan.
Around eighty-five percent of the matter scientists have detected in the universe comes from something we can’t feel or see. It’s a seemingly enormous amount of mass whose gravity bends other stars’ light and makes galaxies spin strangely. And scientists really, really want to know what this so-called dark matter is.
But how do you detect something you can’t see or feel? If dark matter is a tiny particle, as many theories predict, then the solution is giant vats of liquid xenon, an element that’s usually a gas at room temperature, buried deep in mine shafts or in mountains. And the biggest functioning vat, an experiment called XENON1T buried beneath a mountain in Gran Sasso, Italy has just released its first results. There’s still no sign of dark matter—but no one’s losing hope yet.
“I think the most exciting thing is the fact that the detector works as we expect,” Laura Baudis, professor at the Physik Institut of the University of Zurich told Gizmodo.
But why vats of liquid xenon? Right now, physicists have compelling reasons to believe that dark matter should be some sort of particle that only interacts very weakly with the nucleus of regular-matter atoms. Physicists are hoping that those particles will hit the liquid xenon nuclei, producing light particles or knocking off an electron. The time between the initial photon signal from the strike and another photon signal from a released electron migrating out of the experiment determines where in the chamber the dark matter would have struck. Photomultiplier tubes amplify the signal and show up as a blip above some background on a graph.
Folks at XENON1T aren’t too worried about the lack of a detection just yet—their results, published today on the arXiv physics preprint server, were only based on about a month’s worth of data. If you put a big bowl in your backyard and waited for a meteor to hit it, you wouldn’t say “meteors don’t exist” just because you hadn’t caught one in a month. Especially if, in the case of dark matter, the meteors pass right through the bowl and the only way to detect that you’ve caught one is through a faint blip of light it might leave on a camera.
That’s essentially what these kinds physics experiments do. Once scientists have proven that there’s no dark matter at the mass detectable by the experiment’s operating sensitivity (that usually takes a few years) they move onto more sensitive (read: bigger) detectors. Bigger experiments increase the odds of actually detecting something, and that means more xenon.
“Every time we run our detector longer or make it bigger, we’re exploring more of the parameter space,” Christopher Tunnell, fellow at the Kavli Institute for Cosmological Physics at the University of Chicago, told Gizmodo. “You’re able to say dark matter isn’t this or it isn’t this.”
You’re probably wondering, if these detectors are so sensitive, how do they know they’ve spotted dark matter and not something else? University of California, San Diego’s XENON1T spokesperson Kaixuan Ni explained to me that radiation can come from anywhere and cause a signal in the detector, so XENON1T is buried deep underground to keep out stray particles from space. The scientists also learn what naturally-occurring atoms of radioactive elements might look like in the detector, so they can cut any of those signals out during data analysis. XENON1T is also shielded by water, and its newest results only include data from the middle of the detector, using the outer layers of XENON as additional shielding.
This has long been the way physicists have slowly been ruling out the possible properties that dark matter particles have had. XENON1T stands for XENON 1 ton, because it contains a ton (well, actually a little more than three tons) of liquid xenon. It used to be called XENON100, and before that XENON10. Competing detectors are looking for dark matter particles in similar ways—the Large Underground Xenon experiment (LUX) finished its dark matter search without a particle to show for it last summer, and is currently upgrading to “LZ.” Then there’s PandaX (again, a vat of xenon) and others that use another noble gas, argon. These noble gasses are used because they release light and electrons when they’re smacked, according to an article in symmetry magazine.
Folks from the LUX/LZ experiment and others outside the physics community have been paying close attention to the competition. XENON is first out of the gate of the newest iteration of these experiments. “This is the next generation coming out of its childhood in some sense,” Bob Jacobsen, physicist at the University of California, Berkeley, who works on LUX and LZ, told Gizmodo. “They’re not just showing that photomultiplier tubes are working, but actually doing physics.” And while not speaking on behalf of LZ, Jacobsen said the pressure is certainly on, now. “Everyone is focused on getting the next experiment built. It’s hard to win against someone whose detector is 3-4 times bigger than yours.”
Others thought the new results weren’t a huge leap, yet. Kathryn Zurek, theoretical physicist at Lawrence Berkeley National Laboratory in California, told me that XENON1T’s results only barely pushed past last year’s LUX results, which ruled out dark matter particles within a certain mass range. She did point out that these weakly-interacting dark matter detectors are now in “production mode,” chugging along looking for hints of particles.
But, as with the “competing” ATLAS and CMS experiments at the Large Hadron Collider that jointly discovered the Higgs boson, it’s important to have some independent verification in the case of a discovery. “We need two experiments,” said Ni. “If XENON1T discovers dark matter signals, then LZ can confirm it.”
As these experiments are getting larger, folks are beginning to feel the pressure of what might happen should we fail to discover dark matter. “You can’t do this forever,” said Tunnell. “You wonder if maybe dark matter is different from what you expect it to be.” In other words, not a weakly-interacting particle. Scientists aren’t at that level yet, said Baudis, and are working towards the ultimate dark matter detector, called DARWIN. But once these experiments get sensitive enough that tiny particles emanating from the sun and outer space called “neutrinos” start to turn up as hits in the detector, then it might be time to throw in the towel. “If we haven’t seen any dark matter [by] then, then it would be too many neutrinos,” she said. It’s not a hard cutoff, said Zurek, but it would take a whole lot more xenon to hunt for a slight dark matter particle interaction in the neutrino sea.
“So the question is going to become after LZ is built: Are we going to build another generation of experiments?” asked Zurek. “Now we’re talking about quantities of xenon getting to be a nontrivial fraction of the world’s supply.”
In that case, scientists would need to hunt for dark matter in different ways. This is something scientists are already discussing, said Zurek.
But we’re not there just yet—the current xenon vats are hunting in “that sweet spot” where weakly-interacting dark matter might communicate with our experiments via particles we know about and can detect. So for now, the hunt is on. Said Baudis: “We simply have no way of knowing until we look.”
Forget about the Ford GT or the Lamborghini Aventador. When it comes to supercars and rivalries, it’s all about McLaren versus Ferrari. On Formula One’s racetracks, the two have been duking it out for half a century. In fact, Ferrari and McLaren are, by far, the two winningest teams in the history of the sport.
In 2010, Woking, England-based McLaren Technology Group launched McLaren Automotive — the division of the company focused solely on building road-going supercars. This added a whole new dimension to the rivalry.
In the years since both companies have unleashed supercar after supercar. Each time besting the latest efforts of its rival.
The latest salvo in the battle for supercar supremacy is the McLaren 720S. Recently, Business Insider attended the launch of McLaren’s futuristic supercar at the demanding Autodromo Vallelunga near Rome.
As part of the festivities, I got the chance to take the 720S on a two-hour-long drive from our hotel in Rome to the racetrack north of the Italian capital.
Here’s how it went.
(Business Insider paid for travel and lodging associated with this trip.)
Twitter co-founder Evan Williams wants you to know he’s super sorry for any role the social media platform played in the election of President Donald Trump.
The sort-of apology was made in an interview with The New York Times published on Saturday. Williams’ remorse for possibly helping to create a political monster comes after Trump’s claims that Twitter was key in helping him clinch the election.
“I think that maybe I wouldn’t be here if it wasn’t for Twitter, because I get such a fake press, such a dishonest press,” Trump told Fox News in March.
The Times reports that Williams has only recently heard Trump’s claim for the first time, reflecting on it for a while before speaking out.
“It’s a very bad thing, Twitter’s role in that.”
“It’s a very bad thing, Twitter’s role in that,” Williams told the Times. “If it’s true that he wouldn’t be president if it weren’t for Twitter, then yeah, I’m sorry.”
Trump’s use of Twitter has long been the source of criticism, especially now as he holds the highest office in the country. The Wall Street Journal reported earlier this week that Trump’s aides recently held a social media intervention with the president due to concerns his tweets could have political and legal ramifications.
The White House did not respond to a request for comment on Williams’ remarks, according to the Times.
Astronomers may have ruled out an alien megastructure as the likely cause behind KIC 8462852’s strange dimming, but it’s still mysterious — and that’s partly due to the lack of live data (as live as you can get for a star 1,277 light years away, at least). How do you understand what’s going on when you have to rely solely on historical info that doesn’t even account for the star’s spectrum? Thankfully, researchers are getting that big chance: they’ve caught the star in mid-dimming, and they have numerous telescopes trained on it. If they can record the spectrum before and after the oddball behavior, they may have a better idea of the root cause.
Scientists don’t expect to find comets. They’ve mostly ruled that out given that the dimming has taken place for several decades or more. However, the spectral data could at least point them in the right direction. If there’s consistent spectral dimming, it would point to a solid object like a planet. More uneven dimming, meanwhile, could point to dust or gas as the culprit.
A definitive answer isn’t all that likely, at least not without extended analysis. With that said, just having a general idea of what’s involved could be enough to shoot down wilder theories and narrow the focus. That, in turn, could improve humanity’s overall understanding of the cosmos and prepare for the next time researchers spot something they can’t immediately explain.
It was an exciting week for crypto traders. It seems like there are an ever-increasing number of traders joining the party doesn’t it? Given that just a year ago there was just a handful of traders compared to now, and we still have not even scratched the surface of the number of traders out there still trading Forex exclusively, the future seems bright indeed. To do well, all you have to do is make sure you don’t make a mistake that wipes out your trading account and forces you out of the game. (At the risk of sounding like a broken record, the best way for new traders to lose everything is to use leverage before they are seasoned traders.)
If you miss a “trade du jour”, my advice is don’t chase it. I know it sucks to be in a trade and then see a different coin is going through the roof while yours is stuck in the mud. Happened to me this week – I missed the ETH party. But if you chase a trade after the fact, you are highly likely to buy a high. There will be another trade tomorrow, and another the day after that, and the next… If you miss one, try not to get greedy and/or impatient – just catch the next trade. If you just stay in the game, IMHO, you stand a good chance of doing very well for yourself. There is a ton of money flowing into the altcoins, and we are still in the very early stages of what might be a bull market they will write about in the history books – IMHO.
I believe XBT is finally approaching the end of it’s present historic run. There are 2 arcs, a short-term 3rd, and a long-term 5th, very close by (~ $2100). I always counsel others, and myself, to never short a bull market. But I might make an exception in this case, if I am feeling brave enough. This 12 hour chart is screaming out a major warning to longs.
Dash has too little data on kraken for a long term look at the chart. But the short term chart shows a retracement at the 4th arc. A little more pullback and a new advance to the 5th arc will like begin. There is a number of reasons to believe that 5/27-5/28 will be a significant energy point for DASH. It is too soon to tell if it will be a high, low or acceleration. But mark it on your calendar.
Regretfully I missed this rally. By the time I noticed it, price was too close to the 3rd arc to buy it. However, my guess is that price will get through the arcs to go to the 5th arcs. Target ~$165. (Last week we identified $130 as a next target. This rally was stopped at $129). I see there is an energy point due tomorrow (red vertical line). Maybe that is the time to watch. I suggest waiting for a close above the 3rd arc, but aggressive traders might risk buying here.
LTC was a bit of a disappointment this week. We tweeted the low was likely in at $21, and it was. The subsequent rally to $29 was exhilarating, but that 1st arc pair stopped the party, and then the top of the square provided a ceiling. Then the money moved to ETH I suppose… Lets see when/if this coin can get through those arcs…
We tweeted that the low was likely in at .28, and indeed that was the low. Since then there was a rally that brought XRP back to the same arc that crashed the party several days ago. The arc stopped the rally again. My guess is that it will get through the arc soon and rally again. My suggestion is to wait for a close above the arcs though. It could fall again here.
ZEC closed above the 2nd arc before falling back. This suggests to me that the arcs are weak and will yield on the next test. I suggest waiting for confirmation. However, a rally to the 3rd and/or the 5th arcs is likely in the week ahead.
XMR rallied hard into the 5th arc of a longer-term setup. At this writing it is sitting just below the 5th arc. It is too soon to say if this is a double top or not (could be!), so my suggestion is to take profits here, if you are long.
Remember: The author is a trader who is subject to all manner of error in judgment. Do your own research, and be prepared to take full responsibility for your own trades.
Jim has an MBA from the University of Southern California. He has had a long career in both Corporate Finance and IT. Along the way he discovered that trading was a vehicle with great promise, but struggled for a long time without a mentor. After having been knocked down many times and having struggled to get back up, he had an epiphany and realized that geometry was a solution. He shares his experience here.
If you do well as a result of suggestions made here, feel free to say thank you :)
Follow him on Twitter (@jimfred1276) or email him at jimfred1276 at gmail.
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