Explain the HSI - why do markets sometimes appear in sync and other times not?
Contributing factors to the diversion were that: A) China's currency does not float like other major countries' currencies  B) China's real estate market didn't have the same lending criteria leading to the level of speculation seen in USA, at the time. "why do markets sometimes appear in sync, but during other times, not so much By ""markets"" I'm assuming you mean equity indices such as the HSI. Financial products fluctuate with respect to the supply/demand of the traders. There's been a large increase in the number of hedge funds, prop desks who trade relative values between financial products, that partially explains why these products seem to pick up ""sync"" when they get out of line for a while."
This is how I've understood this concept. Fibonacci nos/levels/ratios/%s is based on concept of sequential increment. You may find lot of info about Fibonacci on net. In stock market this concept is used to predict psychological level. While a trend is form, usually price tend to accumulate/consolidate at these level. How the percentage/ ratio make impact is  - check any long trend...Now draw a fibbo retracement from immediate previous high and connect it's low. You will see new levels of intermediate trend. In broader term you will find after reversal a leg (trend) is formed, then body and then head which is smaller; then price reverses. The first leg that forms if it refuses to break 23.6% or 38.2% then the previous trend may continue. 50% is normal; usually this level is indecision phase. Even 61.8% is seen as indecision but it is crucial level as it is breakout level towards 100%. Now if the stock retraces 100% then it is sign a new big trend is forming. Now for day trader 23.6%,38.2% and 50% level are very crucial from trading purpose. This concept is so realistic that every level is considered and respected. Suppose if a candle or bar starts at 23.6% level and crosses 38.2% and directly hits 50%. Then the next bar or candle will revert and first hit 38.2% and then continue with the trend. It means price comes back, forms it area at this level and then continue whichever direction the force directs it. You never trade fibo alone, you need help of oscillators or other tools to confirm it. Well that will depend on the time frame you are looking at it. You can't compare the RSI on a five minute chart to the RSI on a daily chart. The minute chart would represent the momentum of very small trends whilst the daily chart would represent the momentum of much larger trends. On the daily chart the shares might be experiencing a strong uptrend with a rising RSI. During each day the price might move up at the open then come down some, then back up a bit more and repeat this several times during the day before closing higher. During the day the RSI might have moved slightly higher.  But during a single day on the 5 minute chart the price may have gone through several up and down trends, with the RSI going into oversold and overbought several times. What you should be looking at to strengthen the signal from the RSI is to watch for when the RSI is in the overbought at the same time the price is reaching a peak, or when the RSI is in the oversold at the same time the price is reaching a trout. These could represent potential turning points in price. The time frame to use would depend on the type of trading you are attempting to undertake. If you prefer day trading (being in and out of a trade in minutes to hours) you might look at time frames of minutes to hours. If you prefer longer term position, trend or swing trading you would probably stick to daily charts. If you prefer longer term active investing you might stick to a combination of daily, weekly and monthly charts. "You are right, if by ""a lot of time"" you mean a lot of occasions lasting a few milliseconds each. This is one of the oldest arbitrages in the book, and there's plenty of people constantly on the lookout for such situations, hence they are rare and don't last very long. Most of the time the relationship is satisfied to within the accuracy set by the bid-ask spread. What you write as an equality should actually be a set of inequalities.  Continuing with your example, suppose 1 GBP ~ 2 USD, where the market price to buy GBP (the offer) is $2.01 and to sell GBP (the bid) is $1.99.  Suppose further that 1 USD ~ 2 EUR, and the market price to buy USD is EUR2.01 and to sell USD is EUR1.99.  Then converting your GBP to EUR in this way requires selling for USD (receive $1.99), then sell the USD for EUR (receive EUR3.9601).  Going the other way, converting EUR to GBP, it will cost you EUR4.0401 to buy 1 GBP.  Hence, so long as the posted prices for direct conversion are within these bounds, there is no arbitrage." The closest I can think of from the back of my head is http://finviz.com/map.ashx, which display a nice map and allows for different intervals. It has different scopes (S&P500, ETFs, World), but does not allow for specific date ranges, though. I was recently at the National Physical Laboratory in the UK and discussing exactly this.  By January 2018 financial institutes will be legally required to time stamp all transactions (including high frequency trades) with a UTC time code.  Today this is almost exclusively done using GPS satellite time and as the OP states - these can be spoofed but also are vulnerable to certain weather conditions.  One of the many innovations of NPL in their recent diversification includes sending ‘time’ into the city by  optical fibre which is ‘gold standard and cannot be tampered with’.  Very interesting topic ( I thought )! This question is impossible answer for all markets but there are 2 more possibilities in my experience: The stock market's principal justification is matching investors with investment opportunities.  That's only reasonably feasible with long-term investments.  High frequency traders are not interested in investments, they are interested in buying cheap and selling expensive.  Holding reasonably robust shares for longer binds their capital which is one reason the faster-paced business of dealing with options is popular instead.  So their main manner of operation is leeching off actually occuring investments by letting the investors pay more than the recipients of the investments receive. By now, the majority of stock market business is indirect and tries guessing where the money goes rather than where the business goes. For one thing, this leads to the stock market's evaluations being largely inflated over the actual underlying committed deals happening.  And as the commitment to an investment becomes rare, the market becomes more volatile and instable: it's money running in circles. Fast trading is about running in front of where the money goes, anticipating the market.  But if there is no actual market to anticipate, only people running before the imagination of other people running before money, the net payout converges to zero as the ratio of serious actual investments in tangible targets declines. By and large, high frequency trading converges to a Ponzi scheme, and you try being among the winners of such a scheme.  But there are a whole lot of people competing here, and essentially the net payoff is close to zero due to the large volumes in circulation as opposed to what ends up in actual tangible investments. It's a completely different game with different rules riding on the original idea of a stock market.  So you have to figure out what your money should be doing according to your plans. I have watched the ticker when I have made a transaction. About ¼ of the time my buy (or sell) actually moves the going price. But that price movement is wiped out by other transactions within two (or so) munites.  Is your uncle correct? Yes. Will anyone notice? No. They don't have to track each other, it could just be listed on more than one exchange.  The price on one exchange does not have to match or track the price on the other exchange. This is actually quite common, as many companies are listed on two or more exchanges around the world. In regards to your title, it's based on product. Rates based products had a late 2016 early 2017 run. It's now summer time and the fed is acting as expected. Clients have already positioned themselves going into the slow season. Distressed bonds and HY loans are still moving. After the latest fed increase and the yield curve flattening, HY loans took a hit. Par loans were trading at a discount. The market has moved back to paying a premium. However, HY bonds have been slowing down since June. New issue has dropped off, and equities have slowed as well. It's summer time. I wouldn't say that traders have it tough as the tittle suggests, it's just that it was a very active first quarter and now volatility has subsided. It's just the quiet season. the strategy is tested all the way to 97. how is the continuous series backadjusted? the emini is rolledover and Ratio back adjusted to the 2nd nearest contract, 9 days prior to expiration. since it is an intraday trade, the discrepancy to the real thing should be next to irrelevant. but comparing it to the spx could make it interesting.  what would be a good format to present the results ? jpeg? pdf ? A stock's price does not move in a completely continuous fashion.  It moves in discrete steps depending on who is buying/selling at given prices. I'm guessing that by opening bell the price for buying/selling a particular stock has changed based on information obtained overnight. A company's stock closes at $40.  Overnight, news breaks that the company's top selling product has a massive defect.  The next morning the market opens.  Are there any buyers of the stock at $40?  Probably not.  The first trade of the stock takes place at $30 and is thus, not the same as the previous day's close. This is often the case where traders are closing out short positions they don't want to hold overnight, for a variety of reasons that matter to them.  Most frequently, this is from day traders or high-frequency traders settling their accounts before the markets close. Daily &gt; Weekly &gt; Monthly. This statement says that if you use daily returns you will get more noise than if you used weekly or monthly returns. Much of the research performed uses monthly returns, although weekly returns have been used as well. For HFT you would need to detrend the data in order to spot true turning points. "Trading at the start of a session is by far higher than at any other time of the day. This is mostly due to markets incorporating news into the prices of stocks. In other words, there are a lot of factors that can affect a stock, 24 hours a day, but the market trades for only 6.5 hours a day. So, a lot of news accumulates during the time when people cannot trade on that news. Then when markets finally open, people are able to finally trade on that news, and there is a lot of ""price discovery"" going on between market participants. In the last minutes of trading, volumes increase as well. This can often be attributed to certain kinds of traders closing out their position before the end of the day. For example, if you don't want to take the risk a large price movement at the start of the next day affecting you, you would need to completely close your position."