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PDF Editor FAQ

What is the most profitable activity in which one can use deep learning to make money, i.e., stocks, horse racing, options etc.?

Wrong perspective. Asking about the field is going for an information edge, i-e market inefficiencies. Those tend to get arbitraged away over time as people get attracted to supposedly free money. Even semi-random series such as horse racing will eventually yield smaller marginal profits as more players learn to play the game quantitativelyML and Ai for price prediction are doomed to failI strongly believe that ML and Ai used for price prediction are doomed to fail. ML and Ai are quants 3.0 with a bigger bazooka. It failed before and it will fail again, because we have not internalised the lessons of randomness.Randomness means false positives. The more you reduce false positives, the more you generate false negatives: desired behaviour despite absence of signal. The way to deal with randomness is a posteriori. Imagine you date someone you believe is perfect for you. Then, red flags appear here and there. What do you do? You bail. Same with randomness in markets. You thought it would work. It did not, then learn to bail quicklyML can make a real difference in risk managementNow, where ML and Ai can really make a difference is in risk management: position sizing, exposures etc. Making money is about having an edge. There are many aspects of a trading edge that are not subject to randomness. Examples:Position sizing: those who bet too much at the top and too little at the bottom are welcome to lapidate my fat a@@… We get greedy or fearful at the wrongest timeExposure control: taking on massive leverage around the top and all in cash at the bottom, sounds familiar?Risk management: now that is a whole different can of worms. We are hardwired to not understand risk.To answer your question, concentrate ML on how to tilt your P&L distribution first. Then, point and shoot wherever you want

Which roboadvisor would protect my portfolio the most in a market downfall?

qplum is the only Robo-Advisor with Systematic Risk Management.For example, in the market correction of Jan-Feb 2016, when US markets dropped more than 10.3% and global markets dropped about 15%, qplum-flagship was down just 2.4%Here’s a video explaining how qplum employs risk management so you can control downside risk in your portfolio:The key to protecting your money during a market downturn is structural, systematic risk management.Here’s how it works in qplum portfolios:When the portfolio draws down, i.e. declines in value, the risk manager takes out capital from the markets and puts it in cash in a staggered manner - the higher the drawdown, the lower the allocation to the markets.It then waits for 21 days before reinvesting to avoid intermediate fluctuations.When the portfolio grows again, the risk manager re-allocates cash to the markets in a staggered manner.Short - term investment horizon:If you are investing for a year or less and you are very concerned about not getting the time to make back any sudden losses, you might want to check out Our Fairway portfolio. It is designed to generate income with very low risk.An ideal investor in Fairway portfolio would be an individual who is looking for an experience similar to a liquid high yielding checking account, but with some risks.Quick screenshot here (You can read the full brochure here) :You’re not wrong in assuming that lots of robo-advisors have not worked on strategies that reduce drawdown during market corrections. I believe targeting higher Sharpe Ratios is the secret to doing well in all four market seasons.There are a few firms like qplum using cutting edge technology to dynamically target risk so clients can benefit from all market conditions. This shows up in our performance.Feel free to check out our Investment Methodology for more information.Whomever you choose as a money manager, make sure it’s the right choice for you. There are lots of options out there, some good and some not so good. Make sure to do your homework.Disclaimer: All investments carry risk. This is not a solicitation to buy/sell securities. This is not an offer of personal financial advice or legal advice. Past performance is not indicative of future performance.

What do people at corporate McDonald's or other large fast-food companies do on a day-to-day basis?

These are very broad strokes.raw materials (food) supply chain management and distributionwarehousingtransportationadvertisingmarketingspecial promotionsproduct developmentinformation technologyaccounting and financelegalhuman resourcesreal estate and constructionlicensingsalestravelcustomer servicepublic relationsinvestor relationscrisis managementemployee training (store and corporate)purchasing (store and corporate supplies)safety, security and risk managementThere may be several to several hundred related job functions withing each of the following categories. For example, under the accounting umbrella falls:cash managementfinancial and internal controlsbudgeting and forecastingaccounts payableaccounts receivablepayrollinventory managementSEC reportingauditingfinancial statement preparation and consolidationgeneral accountingsales auditaccount analysiscost accountingtaxes

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