Ositadima1's Posts
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janga:OK naa ![]() Don't tell me u have never heard the phrase panic selling. |
jedisco:Export deficit is d main issue and not the other way round, it is the reason CBN deviced parallel markets in the first place as a way to ease pressure on our reserves while allowing essential users access to cheaper rates. But, like most things in Nija, it is subject to exploitation. jedisco:I want to point out that, unlike dollars that have d full backing of d USA economy cryptos don't, they are purely speculative instruments. If USA or some other influential country decide to block bitcoin, maybe because terrorist use it or some other reasons, ur cryptos will go to zero or close to zero so fast u wouldn't be able to pull out ur money. jedisco:It is not for everyone sha. But, with the right knowledge someone can get in at bottom or close to bottom and make it out with decent returns, then wait for d next bonanza when ever that might be. |
jedisco:The buying power of Naira will keep reducing as long as there is export deficit. Nigeria spends more dollars than it earns. Be careful with cryptos, most professional investors put only a small portion of their investments in crypto. One secrete, If u had entered the stock market when most stocks hit their lowest early last year, u would have beat the current devaluation. The NSE is know to do such bonanza every once in a while. |
Some thoughts after playing this game over the last 1.5 years. The Nigerian stock market is designed for long time investors and not traders. From exorbitant trading costs(imagine forking out 2% from equity per trade while some systems make 3 to 4% per trade, howmuch remain?), to low daily turnover. On average, only few stocks trade more than 5 mil per day. Meaning you would find it hard taking positions at target prices without slippage. As a result, some stocks are untradable. Anyhow, as a trader I see the nse as a learning ground where I can hone my skills before taking my biz elsewhere. Leave the space for the likes of Pa Emma. ![]() |
My language of choice is python, hahaha. It's pretty cool. If u want to dabble in quantitative analysis of financial markets in ur free time check out Algovibes on youtube. The guy has some very good introductory tutorials on the subject. Who knows, you could go on to become the next Jim Simons, founder of Renaissance Technologies. ![]() |
Want to view d whole thing including its implementation, program and all? find it here: https://www. tradingview. com/script/LiQbTD6e-Moments-Mean-Variance-Skewness-Kurtosis-pig/ Good stuff!!! ![]() |
They gave away some pointers as to how to interprete the stats. Below: Using Moments For Trend and Mean Reversion Trading: *Use the autocorrelation testing indicators to confirm trend or mean reversion. Then use log return, mean, and stdev bands to act accordingly. *Trend trading using mean and variance. When variance/stdev is high, take a trade based on the mean's direction. *Trend trading using skewness and kurtosis . When kurtosis is significantly positive, it indicates a large risk. But for trend trading strategies, they profit from extreme moves. Take a trade based on the direction of skewness if the kurtosis and skewness are both significant. Profit from extreme values in the direction of skewness. *Mean reversion strategies using kurtosis . When kurtosis is low, the risk of trading mean reversion is lower. *Mean reversion strategies using skewness. A positive skewness doesn't always mean bullish and a negative skewness doesn't always mean bearish . It only shows the shape of the distribution in the past. Skewness may sometimes even have a negative correlation with price. There are studies that show buying commodities with the most negative skewness and shorting commodities with the largest positive skewness can be profitable. And it could be applied not only in commodities . This is probably due to people's preference for longing positively-skewed securities. They tend to speculate a large profit from low probabilities. They will be overpricing the large positively-skewed securities and when the market underperforms, their expectation is that it will drop. |
Lately I have been applying some simple stats to my stock analysis, parameters like mean and standard deviation. Hehe, bollinger bands comes to mind. Despite the fact that stock prices (also stock returns) are time series, they can be analysed statistically as distribution of values with good predictive success. I came across a post on tradingview that discussed a few stats terms in very simple language. Read d excerpt below. Enjoy. ![]() Mean: The first Raw Moment is the Mean. It indicates the central tendency of a distribution. People talk about the Mean a lot in trading when referring to moving averages and mean reversion. But when we talk about the mean in our previous scripts, we are talking about the mean of returns. So when indicators like the Hurst Exponent , Durbin Watson Stats or Variance Ratio Test show negative autocorrelation, which implies mean reversion, the mean we are refering to is the Mean of returns, not the Mean of price. When they target the mean to revert, they shouldn't be targeting the SMA of price. They should target the returns to the mean of returns. People usually use the mean of returns as an expected value of stock returns. They find the average for past performance and using that to get an idea of where the share price might go next. Variance: The second Central Moment is the Variance. It indicates the spread of data around the Mean. People usually use Variance or the square root of Variance, which is the standard deviation to measure volatility . They sometimes define risk as the standard deviation of returns. While it may not be a measurement of risk (as we will explain later), it's a decent measurement of volatility . Since it's squared deviation from the Mean (second moment), the value is always positive, and power makes the smaller deviation smaller and the larger deviation larger. We should use sample variance and standard deviation, as I mentioned before. The difference is just divided by n or n -1. Skewness: The third Standardized Moment is Skewness. It measures the asymmetry of the distribution. The reason why it's called standardized moments is that it not only raised the deviation to the power of three in the nominator, it divides the standard deviation to the power of three to standardize the value. It's easier to compare the value of skewness with other distributions when it's standardized. The formula I just described is for population skewness. For sample skewness, it has to adjust the degrees of freedom to make it unbiased, which you can see in the code. When skewness is 0, the distribution is perfectly symmetric. A normal distribution has a skewness of 0. (any symmetric distribution has a skewness of 0). But as you can see from the distribution chart, the returns are not perfectly symmetric. An easy way to know if the distribution is positively skewed (skewed right) or negatively skewed (skewed left) is by looking at its tails. If extreme values happen more in the left tail, then it's left-skewed (longer left tail). If the extreme value happens more in the right tail, then it's right-skewed (longer right tail). A right-skewed distribution means there are more very large positive returns than negative returns in the sample. And left-skewed means there are more very large negative returns than positive returns in the sample. Returns are more often negatively skewed because the market usually sell-off faster due to panic. Kurtosis: The fourth Standardize Moment is Kurtosis . It measures the "tailedness" in the distribution. As I mentioned in the skewness calculation, it also divides the fourth power of deviation by the fourth power of standard deviation to standardize the value. And it requires even more adjustments to degrees of freedom in order to make it unbiased for sample kurtosis . The kurtosis value we display here is the excess kurtosis. The normal distribution has a kurtosis of 3. The excess kurtosis = kurtosis - 3. When excess kurtosis is around 0, it has the same tail as normal distribution, and it's called Mesokurtic. When excess kurtosis > 0, It has a fatter tail than normal distribution, and it's called Leptokurtic. There are more extremely large returns in the tails. When excess kurtosis < 0. It has a thinner tail than the normal distribution, and it's called platykurtic. There are fewer extremely large returns in the tails. Kurtosis doesn't have an upper bound, and the most platykurtic distribution is Bernoulli distribution with ex. kurtosis of -2. (even though the least platykurtic distribution kurtosis is -2, you can still get a value lower than -2 when you measure sample kurtosis .) Kurtosis is sometimes referred to as volatility of volatility . It measures the tail risk or sometimes called kurtosis risk. Because a lot of statistical models assume a normal distribution, and when there's positive kurtosis , then they will underestimate the risk of fat tails. Market returns are usually leptokurtic due to volatility clustering (smaller returns cluster with smaller returns makes a higher peak, and extreme returns clusters make fatter tails). The kurtosis risk cannot be explained by variance or standard deviation because higher moments cannot be explained by lower moments. There can be two data sets with the same variance but different kurtosis . Therefore kurtosis explains more potential risk than the variance. There's a misconception about kurtosis . Many people think kurtosis measures the peakedness of a distribution. However, this is NOT the case. There are examples of distribution that has a lower peak than normal distribution but has higher kurtosis . In general, kurtosis measures mostly the tail of the distribution. It uses the fourth power in the calculation. Therefore a large value in the tail has much more effect on kurtosis than the small value in the middle. #Systematic Trader ![]() |
Now check out consumer goods, they have mostly done above 50%. Look at what Honyflour is currently doing, see how it was at per with Flourmill for long. Edit: the title is incorrect. It is not a monthly return rather an expanding return with respect to d first Date on the chart. Tool lazy to correct d typo.
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locodemy:Check d graph below and see that chams may move up soon as well. The problem is that courtville is being moved without Volume. It did 6% with only 661k valued at 200k. Edit: the title is incorrect: it is not a monthly return rather an expanding return with respect to d first Date on the chart.
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Willie2015:Given that movement of stocks withing certain industries are correlated - If two or more move the others are very likely to follow. |
Flourmill and/or Seplat look like they will move up soon. What do u think? |
abduleez1: ![]() There is something fundamentally wrong with that stunt.
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"Lolita" was a good movie, somewhat like the show "A teacher". Paedophilia is actually a mental illness, especially the ones that can easily have attractive women/men and instead choose minors. ![]() |
![]() If the stock prices and its movements reflect the general consensus (dynamic equilibrium between buyers and sellers) of the investing public in the long run, can the number of deals be as insightful as the volume traded ? In other words, for example, if one or two whales decide to sell off and in the process drop prices of a given commodity, will this artificial bear stick? Can such fluctuations present a profitable entry in the short run? Note: Morgan daily price list report sheet has a column labeled deals. Yesterday, the stock JULI(not a tradable stock by the way) dropped by 9.9% with only one deal, SOVRENINS did -7.14% with only 5 deals, CUTIX -9.91% with 78 deals(seams to have more backing), etc. |
rickleye:It is not about the weight or fuel, any sane pilot knows that those guys will perish if the plane were to lift off. I think it is just a publicity stunt, a very stupid one sef. OK, even if d stowaway were to make it safely to USA or Qatar, such persons would never be allowed entry just like that without thorough mental evaluation. Such crazy persons can easily become suicide bombers. ![]() |
![]() Bunch of suicidal pussies, but then it could be a publicity stunt. They think say plane na molue bus? |
![]() D roof go dey leak now. A firearm with a telescope and about less than 4 meters from target yet he could not hit. See as him hands dey shake like person way get parkinson. |
Image123:I have watched pornography tire, footage opon footage, I have watched all sorts: Bestiality, Bondage, Scat, Domination, Shèmale(currently my fev), Granny etc. But, I will never dream of sleeping with my relative talkless of my daughter. |
No good show currently so I started downloading oldies that I liked or may have missed. Some good ones: The Sopranos The Crossing Il corpo del deseo (A spanish telenovella aired some years ago on my local station, the episodes are on YouTube problem is that it is in Spanish and I can't find english subtitles for it.) Oh, did I not mention that I absolutely love the theme song for Il corpo del deseo? |
skj1377:If you have solid proofs you can make loads of money from this accusations in court. Both Dangote and the auditing firm are bound by law to be transparent and sincere in their reports. |
skj1377:It would be nicer if you backup ur claims with verifiable evidence, I would like to see links to news records. |
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Mazi Kanu is finished, he is not coming out of this one in a very long time. He is not a very clever man and he is going to pay for it. |
I saw this website on a forum https://www. prosper .com/invest For USA residents only, can borrow or lend money through the platform at interest. |
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Wrong thread |
"La Solitudine" by Laura Pausini. |
obixcel:480p or 720p is usually OK for me, I try to balance view quality against space occupied. If u really want the experience go with 4k videos at 50GB per movie . U go see every every. ![]() |
MJBOLT:It's OK, I suggest u download 480p or higher if u are viewing on a tablet or larger screen. The 360p is kinda low rez. It appears to be DVD dub and not those cinema cam shit. Also, download Loki if u haven't, Marvel did good in dat one, at least d first 4 episodes. |
obixcel:I am downloading it sharply, the 360p version. Make I check am out first. ![]()
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