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King Bond Market Long $TLT, Bear Oil Fossil Fools and thus almost every sector ETF, selling a put of 5G companies

From the $BLK DD guy that rolled into $XLF last month. I am currently long $SLV, $GLD, $GDX, and $GDXJ with call spreads, shares, and just pruned $AMZN and $AAPL gains but keeping $ARKF, $ARKQ, and $ARKK (ETFs with $TSLA as the largest holding.)
Today, Friday's CNBC "Options Action" has just dangled calls on the $TLT, the ETF that tracks the 20+ year *BOND PRICES move inverse to yields and the Fed would not mind rates to hit 0% to spark inflation.* I concur with CNBC who suggested buying August dated call spreads on $TLT.
My $XLE long dated puts have been melting up. I am short every sector ETF but $IBB and $XLV. Be careful as these options are not as liquid as the $QQQ or $SPY but I cannot help that sectors are moving down when oil is down.
The VIX is holding steady, steady high. I am not hedging with the $VIX when stay home stonks work- the $VIX is broken imao so use $GLD, $SLV, and $TLT because bond rates are going to 0% (meaning the price goes up.)
I also concur with CNBC that options are the best way to play a market by reducing risk like selling a put. There are risky options, and very safe options if you can own 100 shares (the company could be $DTEGY Deutsche Telekom AKA T-Mobile/Sprint and the bringer of 5G eventually, pick your poison.)
I suggest selling a put for some good companies with solid balance sheets, 5G capabilities, and anything auto in the green space to get 100 shares of companies (see the next paragraph.)
My suggestions for getting 100 shares at a cheaper price would be Ericsson (trading under $10,) Dell or VMWare (you pick the one that matches your risk,) NIO (trading below $10), $NOK at $4 is interesting, and for big rollers Amazon (if you have the $ to own 100 shares at $2,500 or $250,000 or less, I would but that is for wsb) That is, if Amazon retests $2,500. I suggest 100 shares of $SHLL for YOLO if this bores you as this is the best $SPAC (but there is probably other ones because management is all you have with blank check companies.)
AFTER you own 100 shares of $AAL or $TSM or Dell or whatever, you can dump the 100 shares anytime. I suggest you keep them and sell options and join the theta gang. Why not get paid for owning your 100 shares of $TSM [Taiwan Semiconductor, the company onshoring manufacturing to America] you got at $45? $TSM August 21 $45p is $.35. If you had 100 shares of $TSM today, selling a $60c gives you $140 just for holding the shares until August 21st.
Bullish on onshoring green jobs because Trump leaving office is the biggest buy after the news ever. (Buy on the rumor sell on the news but in reverse because solar employs more than fossil fools in TX pre COVIDcession.)
For examples of selling a put: $AAL Nov 20th $2 puts are $0.14 (You are agreeing to buy 100 shares of $AAL at $2/share before or on November 20th, if you are not asked to buy $AAL you keep your $0.14 collateral and the full $14 credit.)
A shorter dated long put $AAL Aug 21st put is $0.09 ($9.) Or you could buy the death puts on $AAL but JPow exists, hence zombie companies, like Hertz, so that is just blowing money. $AAL has the highest %age interest on their debt and the CLOs (their bond insurance) were the highest, I have to check again ($AAL is the worst, but not as bad as $HTZ, a worthless zombie stock.)
*BOND prices move inverse to yields so going from 0.5% to 0% makes the price go up* Zombie companies with balance sheet nightmares is what keeps bond prices upper bound at 0.8 but lower bound is 0%.
Worthless zombie stocks include banks, fossil fools, and then by default industrials, and I hate to say that I am only long $XLK and thinking of $IBB. Every day that oil is not above $35 or in the green or both is a day stonks tank. Every stonk will fall after earnings. Short individual stonks going into earnings, wait- all stonks have cancelled earnings. See why I think maximum protection by not going long the VIX but long gold, silver, even transition phase metals, copper, and BONDS.
$NEM, $GLDI, $SLVP, $HL, $SAND, $SA, $GLTR, $PALL, $SPPP, $SSRM, $BTG , $PPLT, $PLTM, $NUGT, $BAR, $FNV all up today [I also have $GLNCY, $SBSW, and $PLG.] Why own these when you can just long $GDX and $GDXJ?
I do think rates will remain positive, until they are not positive anymore, AKA Japan and Europe :). What BOND fund would you long or short and why, besides $TLT? If a 100 year bond comes out, the interest rate will be 0% anyways in the long run, but we are dead in the long run, so long live bonds until we decarbonize the economy, tax the rich, and pigs fly (not happening fast enough.) Ray Dalio and many others have been harping about this, and a broken clock is right twice a day, or a bear is right when we are in a bear market with a broken VIX.
The bond market is king compared to the stonk market in sheer $. And ForEx trades trillions a day and is important (on days the $DXY, the basket of the dollar versus the globe) goes up $GLD should ease and is a time to buy the dip, and on days the $DXY goes down $GLD will gap up during this "bear oil/hospitality/planes" market.) When the $DXY goes down, it takes more dollars to buy the gold/silvecoppematerials, and $GLD rises and is very liquid for options. Thinking August to add to my Dec 31st $160c. That is, unless we are going to allow millions to go into poverty, so then just buy guns and physical gold and we can trade scraps of silver.
Fossil fools, the slow pace of massive renewable energy projects, and both candidates tripping overthemselves to be more anti-China during global warming and upcoming food inflation spell the need risk reduction (if you plan on holding equities please buy puts to hedge.)
TL;DR $TLT August call spreads, $TLT is the 20 year bond ETF. Pick companies you want to own 100 shares of by selling a put while long $GLD and long $SLV print money so holding the 100 shares prints money joining theta gang.
submitted by daviddjg0033 to smallstreetbets [link] [comments]

Hibiscus Petroleum Berhad (5199.KL)


https://preview.redd.it/gp18bjnlabr41.jpg?width=768&format=pjpg&auto=webp&s=6054e7f52e8d52da403016139ae43e0e799abf15
Download PDF of this article here: https://docdro.id/6eLgUPo
In light of the recent fall in oil prices due to the Saudi-Russian dispute and dampening demand for oil due to the lockdowns implemented globally, O&G stocks have taken a severe beating, falling approximately 50% from their highs at the beginning of the year. Not spared from this onslaught is Hibiscus Petroleum Berhad (Hibiscus), a listed oil and gas (O&G) exploration and production (E&P) company.
Why invest in O&G stocks in this particularly uncertain period? For one, valuations of these stocks have fallen to multi-year lows, bringing the potential ROI on these stocks to attractive levels. Oil prices are cyclical, and are bound to return to the mean given a sufficiently long time horizon. The trick is to find those companies who can survive through this downturn and emerge into “normal” profitability once oil prices rebound.
In this article, I will explore the upsides and downsides of investing in Hibiscus. I will do my best to cater this report to newcomers to the O&G industry – rather than address exclusively experts and veterans of the O&G sector. As an equity analyst, I aim to provide a view on the company primarily, and will generally refrain from providing macro views on oil or opinions about secular trends of the sector. I hope you enjoy reading it!
Stock code: 5199.KL
Stock name: Hibiscus Petroleum Berhad
Financial information and financial reports: https://www.malaysiastock.biz/Corporate-Infomation.aspx?securityCode=5199
Company website: https://www.hibiscuspetroleum.com/

Company Snapshot

Hibiscus Petroleum Berhad (5199.KL) is an oil and gas (O&G) upstream exploration and production (E&P) company located in Malaysia. As an E&P company, their business can be basically described as:
· looking for oil,
· drawing it out of the ground, and
· selling it on global oil markets.
This means Hibiscus’s profits are particularly exposed to fluctuating oil prices. With oil prices falling to sub-$30 from about $60 at the beginning of the year, Hibiscus’s stock price has also fallen by about 50% YTD – from around RM 1.00 to RM 0.45 (as of 5 April 2020).
https://preview.redd.it/3dqc4jraabr41.png?width=641&format=png&auto=webp&s=7ba0e8614c4e9d781edfc670016a874b90560684
https://preview.redd.it/lvdkrf0cabr41.png?width=356&format=png&auto=webp&s=46f250a713887b06986932fa475dc59c7c28582e
While the company is domiciled in Malaysia, its two main oil producing fields are located in both Malaysia and the UK. The Malaysian oil field is commonly referred to as the North Sabah field, while the UK oil field is commonly referred to as the Anasuria oil field. Hibiscus has licenses to other oil fields in different parts of the world, notably the Marigold/Sunflower oil fields in the UK and the VIC cluster in Australia, but its revenues and profits mainly stem from the former two oil producing fields.
Given that it’s a small player and has only two primary producing oil fields, it’s not surprising that Hibiscus sells its oil to a concentrated pool of customers, with 2 of them representing 80% of its revenues (i.e. Petronas and BP). Fortunately, both these customers are oil supermajors, and are unlikely to default on their obligations despite low oil prices.
At RM 0.45 per share, the market capitalization is RM 714.7m and it has a trailing PE ratio of about 5x. It doesn’t carry any debt, and it hasn’t paid a dividend in its listing history. The MD, Mr. Kenneth Gerard Pereira, owns about 10% of the company’s outstanding shares.

Reserves (Total recoverable oil) & Production (bbl/day)

To begin analyzing the company, it’s necessary to understand a little of the industry jargon. We’ll start with Reserves and Production.
In general, there are three types of categories for a company’s recoverable oil volumes – Reserves, Contingent Resources and Prospective Resources. Reserves are those oil fields which are “commercial”, which is defined as below:
As defined by the SPE PRMS, Reserves are “… quantities of petroleum anticipated to be commercially recoverable by application of development projects to known accumulations from a given date forward under defined conditions.” Therefore, Reserves must be discovered (by drilling, recoverable (with current technology), remaining in the subsurface (at the effective date of the evaluation) and “commercial” based on the development project proposed.)
Note that Reserves are associated with development projects. To be considered as “commercial”, there must be a firm intention to proceed with the project in a reasonable time frame (typically 5 years, and such intention must be based upon all of the following criteria:)
- A reasonable assessment of the future economics of the development project meeting defined investment and operating criteria; - A reasonable expectation that there will be a market for all or at least the expected sales quantities of production required to justify development; - Evidence that the necessary production and transportation facilities are available or can be made available; and - Evidence that legal, contractual, environmental and other social and economic concerns will allow for the actual implementation of the recovery project being evaluated.
Contingent Resources and Prospective Resources are further defined as below:
- Contingent Resources: potentially recoverable volumes associated with a development plan that targets discovered volumes but is not (yet commercial (as defined above); and) - Prospective Resources: potentially recoverable volumes associated with a development plan that targets as yet undiscovered volumes.
In the industry lingo, we generally refer to Reserves as ‘P’ and Contingent Resources as ‘C’. These ‘P’ and ‘C’ resources can be further categorized into 1P/2P/3P resources and 1C/2C/3C resources, each referring to a low/medium/high estimate of the company’s potential recoverable oil volumes:
- Low/1C/1P estimate: there should be reasonable certainty that volumes actually recovered will equal or exceed the estimate; - Best/2C/2P estimate: there should be an equal likelihood of the actual volumes of petroleum being larger or smaller than the estimate; and - High/3C/3P estimate: there is a low probability that the estimate will be exceeded.
Hence in the E&P industry, it is easy to see why most investors and analysts refer to the 2P estimate as the best estimate for a company’s actual recoverable oil volumes. This is because 2P reserves (‘2P’ referring to ‘Proved and Probable’) are a middle estimate of the recoverable oil volumes legally recognized as “commercial”.
However, there’s nothing stopping you from including 2C resources (riskier) or utilizing 1P resources (conservative) as your estimate for total recoverable oil volumes, depending on your risk appetite. In this instance, the company has provided a snapshot of its 2P and 2C resources in its analyst presentation:
https://preview.redd.it/o8qejdyc8br41.png?width=710&format=png&auto=webp&s=b3ab9be8f83badf0206adc982feda3a558d43e78
Basically, what the company is saying here is that by 2021, it will have classified as 2P reserves at least 23.7 million bbl from its Anasuria field and 20.5 million bbl from its North Sabah field – for total 2P reserves of 44.2 million bbl (we are ignoring the Australian VIC cluster as it is only estimated to reach first oil by 2022).
Furthermore, the company is stating that they have discovered (but not yet legally classified as “commercial”) a further 71 million bbl of oil from both the Anasuria and North Sabah fields, as well as the Marigold/Sunflower fields. If we include these 2C resources, the total potential recoverable oil volumes could exceed 100 million bbl.
In this report, we shall explore all valuation scenarios giving consideration to both 2P and 2C resources.
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The company further targets a 2021 production rate of 20,000 bbl (LTM: 8,000 bbl), which includes 5,000 bbl from its Anasuria field (LTM: 2,500 bbl) and 7,000 bbl from its North Sabah field (LTM: 5,300 bbl).
This is a substantial increase in forecasted production from both existing and prospective oil fields. If it materializes, annual production rate could be as high as 7,300 mmbbl, and 2021 revenues (given FY20 USD/bbl of $60) could exceed RM 1.5 billion (FY20: RM 988 million).
However, this targeted forecast is quite a stretch from current production levels. Nevertheless, we shall consider all provided information in estimating a valuation for Hibiscus.
To understand Hibiscus’s oil production capacity and forecast its revenues and profits, we need to have a better appreciation of the performance of its two main cash-generating assets – the North Sabah field and the Anasuria field.

North Sabah oil field
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Hibiscus owns a 50% interest in the North Sabah field together with its partner Petronas, and has production rights over the field up to year 2040. The asset contains 4 oil fields, namely the St Joseph field, South Furious field, SF 30 field and Barton field.
For the sake of brevity, we shall not delve deep into the operational aspects of the fields or the contractual nature of its production sharing contract (PSC). We’ll just focus on the factors which relate to its financial performance. These are:
· Average uptime
· Total oil sold
· Average realized oil price
· Average OPEX per bbl
With regards to average uptime, we can see that the company maintains relative high facility availability, exceeding 90% uptime in all quarters of the LTM with exception of Jul-Sep 2019. The dip in average uptime was due to production enhancement projects and maintenance activities undertaken to improve the production capacity of the St Joseph and SF30 oil fields.
Hence, we can conclude that management has a good handle on operational performance. It also implies that there is little room for further improvement in production resulting from increased uptime.
As North Sabah is under a production sharing contract (PSC), there is a distinction between gross oil production and net oil production. The former relates to total oil drawn out of the ground, whereas the latter refers to Hibiscus’s share of oil production after taxes, royalties and expenses are accounted for. In this case, we want to pay attention to net oil production, not gross.
We can arrive at Hibiscus’s total oil sold for the last twelve months (LTM) by adding up the total oil sold for each of the last 4 quarters. Summing up the figures yields total oil sold for the LTM of approximately 2,075,305 bbl.
Then, we can arrive at an average realized oil price over the LTM by averaging the average realized oil price for the last 4 quarters, giving us an average realized oil price over the LTM of USD 68.57/bbl. We can do the same for average OPEX per bbl, giving us an average OPEX per bbl over the LTM of USD 13.23/bbl.
Thus, we can sum up the above financial performance of the North Sabah field with the following figures:
· Total oil sold: 2,075,305 bbl
· Average realized oil price: USD 68.57/bbl
· Average OPEX per bbl: USD 13.23/bbl

Anasuria oil field
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Doing the same exercise as above for the Anasuria field, we arrive at the following financial performance for the Anasuria field:
· Total oil sold: 1,073,304 bbl
· Average realized oil price: USD 63.57/bbl
· Average OPEX per bbl: USD 23.22/bbl
As gas production is relatively immaterial, and to be conservative, we shall only consider the crude oil production from the Anasuria field in forecasting revenues.

Valuation (Method 1)

Putting the figures from both oil fields together, we get the following data:
https://preview.redd.it/7y6064dq8br41.png?width=700&format=png&auto=webp&s=2a4120563a011cf61fc6090e1cd5932602599dc2
Given that we have determined LTM EBITDA of RM 632m, the next step would be to subtract ITDA (interest, tax, depreciation & amortization) from it to obtain estimated LTM Net Profit. Using FY2020’s ITDA of approximately RM 318m as a guideline, we arrive at an estimated LTM Net Profit of RM 314m (FY20: 230m). Given the current market capitalization of RM 714.7m, this implies a trailing LTM PE of 2.3x.
Performing a sensitivity analysis given different oil prices, we arrive at the following net profit table for the company under different oil price scenarios, assuming oil production rate and ITDA remain constant:
https://preview.redd.it/xixge5sr8br41.png?width=433&format=png&auto=webp&s=288a00f6e5088d01936f0217ae7798d2cfcf11f2
From the above exercise, it becomes apparent that Hibiscus has a breakeven oil price of about USD 41.8863/bbl, and has a lot of operating leverage given the exponential rate of increase in its Net Profit with each consequent increase in oil prices.
Considering that the oil production rate (EBITDA) is likely to increase faster than ITDA’s proportion to revenues (fixed costs), at an implied PE of 4.33x, it seems likely that an investment in Hibiscus will be profitable over the next 10 years (with the assumption that oil prices will revert to the mean in the long-term).

Valuation (Method 2)

Of course, there are a lot of assumptions behind the above method of valuation. Hence, it would be prudent to perform multiple methods of valuation and compare the figures to one another.
As opposed to the profit/loss assessment in Valuation (Method 1), another way of performing a valuation would be to estimate its balance sheet value, i.e. total revenues from 2P Reserves, and assign a reasonable margin to it.
https://preview.redd.it/o2eiss6u8br41.png?width=710&format=png&auto=webp&s=03960cce698d9cedb076f3d5f571b3c59d908fa8
From the above, we understand that Hibiscus’s 2P reserves from the North Sabah and Anasuria fields alone are approximately 44.2 mmbbl (we ignore contribution from Australia’s VIC cluster as it hasn’t been developed yet).
Doing a similar sensitivity analysis of different oil prices as above, we arrive at the following estimated total revenues and accumulated net profit:
https://preview.redd.it/h8hubrmw8br41.png?width=450&format=png&auto=webp&s=6d23f0f9c3dafda89e758b815072ba335467f33e
Let’s assume that the above average of RM 9.68 billion in total realizable revenues from current 2P reserves holds true. If we assign a conservative Net Profit margin of 15% (FY20: 23%; past 5 years average: 16%), we arrive at estimated accumulated Net Profit from 2P Reserves of RM 1.452 billion. Given the current market capitalization of RM 714 million, we might be able to say that the equity is worth about twice the current share price.
However, it is understandable that some readers might feel that the figures used in the above estimate (e.g. net profit margin of 15%) were randomly plucked from the sky. So how do we reconcile them with figures from the financial statements? Fortunately, there appears to be a way to do just that.
Intangible Assets
I refer you to a figure in the financial statements which provides a shortcut to the valuation of 2P Reserves. This is the carrying value of Intangible Assets on the Balance Sheet.
As of 2QFY21, that amount was RM 1,468,860,000 (i.e. RM 1.468 billion).
https://preview.redd.it/hse8ttb09br41.png?width=881&format=png&auto=webp&s=82e48b5961c905fe9273cb6346368de60202ebec
Quite coincidentally, one might observe that this figure is dangerously close to the estimated accumulated Net Profit from 2P Reserves of RM 1.452 billion we calculated earlier. But why would this amount matter at all?
To answer that, I refer you to the notes of the Annual Report FY20 (AR20). On page 148 of the AR20, we find the following two paragraphs:
E&E assets comprise of rights and concession and conventional studies. Following the acquisition of a concession right to explore a licensed area, the costs incurred such as geological and geophysical surveys, drilling, commercial appraisal costs and other directly attributable costs of exploration and appraisal including technical and administrative costs, are capitalised as conventional studies, presented as intangible assets.
E&E assets are assessed for impairment when facts and circumstances suggest that the carrying amount of an E&E asset may exceed its recoverable amount. The Group will allocate E&E assets to cash generating unit (“CGU”s or groups of CGUs for the purpose of assessing such assets for impairment. Each CGU or group of units to which an E&E asset is allocated will not be larger than an operating segment as disclosed in Note 39 to the financial statements.)
Hence, we can determine that firstly, the intangible asset value represents capitalized costs of acquisition of the oil fields, including technical exploration costs and costs of acquiring the relevant licenses. Secondly, an impairment review will be carried out when “the carrying amount of an E&E asset may exceed its recoverable amount”, with E&E assets being allocated to “cash generating units” (CGU) for the purposes of assessment.
On page 169 of the AR20, we find the following:
Carrying amounts of the Group’s intangible assets, oil and gas assets and FPSO are reviewed for possible impairment annually including any indicators of impairment. For the purpose of assessing impairment, assets are grouped at the lowest level CGUs for which there is a separately identifiable cash flow available. These CGUs are based on operating areas, represented by the 2011 North Sabah EOR PSC (“North Sabah”, the Anasuria Cluster, the Marigold and Sunflower fields, the VIC/P57 exploration permit (“VIC/P57”) and the VIC/L31 production license (“VIC/L31”).)
So apparently, the CGUs that have been assigned refer to the respective oil producing fields, two of which include the North Sabah field and the Anasuria field. In order to perform the impairment review, estimates of future cash flow will be made by management to assess the “recoverable amount” (as described above), subject to assumptions and an appropriate discount rate.
Hence, what we can gather up to now is that management will estimate future recoverable cash flows from a CGU (i.e. the North Sabah and Anasuria oil fields), compare that to their carrying value, and perform an impairment if their future recoverable cash flows are less than their carrying value. In other words, if estimated accumulated profits from the North Sabah and Anasuria oil fields are less than their carrying value, an impairment is required.
So where do we find the carrying values for the North Sabah and Anasuria oil fields? Further down on page 184 in the AR20, we see the following:
Included in rights and concession are the carrying amounts of producing field licenses in the Anasuria Cluster amounting to RM668,211,518 (2018: RM687,664,530, producing field licenses in North Sabah amounting to RM471,031,008 (2018: RM414,333,116))
Hence, we can determine that the carrying values for the North Sabah and Anasuria oil fields are RM 471m and RM 668m respectively. But where do we find the future recoverable cash flows of the fields as estimated by management, and what are the assumptions used in that calculation?
Fortunately, we find just that on page 185:
17 INTANGIBLE ASSETS (CONTINUED)
(a Anasuria Cluster)
The Directors have concluded that there is no impairment indicator for Anasuria Cluster during the current financial year. In the previous financial year, due to uncertainties in crude oil prices, the Group has assessed the recoverable amount of the intangible assets, oil and gas assets and FPSO relating to the Anasuria Cluster. The recoverable amount is determined using the FVLCTS model based on discounted cash flows (“DCF” derived from the expected cash in/outflow pattern over the production lives.)
The key assumptions used to determine the recoverable amount for the Anasuria Cluster were as follows:
(i Discount rate of 10%;)
(ii Future cost inflation factor of 2% per annum;)
(iii Oil price forecast based on the oil price forward curve from independent parties; and,)
(iv Oil production profile based on the assessment by independent oil and gas reserve experts.)
Based on the assessments performed, the Directors concluded that the recoverable amount calculated based on the valuation model is higher than the carrying amount.
(b North Sabah)
The acquisition of the North Sabah assets was completed in the previous financial year. Details of the acquisition are as disclosed in Note 15 to the financial statements.
The Directors have concluded that there is no impairment indicator for North Sabah during the current financial year.
Here, we can see that the recoverable amount of the Anasuria field was estimated based on a DCF of expected future cash flows over the production life of the asset. The key assumptions used by management all seem appropriate, including a discount rate of 10% and oil price and oil production estimates based on independent assessment. From there, management concludes that the recoverable amount of the Anasuria field is higher than its carrying amount (i.e. no impairment required). Likewise, for the North Sabah field.
How do we interpret this? Basically, what management is saying is that given a 10% discount rate and independent oil price and oil production estimates, the accumulated profits (i.e. recoverable amount) from both the North Sabah and the Anasuria fields exceed their carrying amounts of RM 471m and RM 668m respectively.
In other words, according to management’s own estimates, the carrying value of the Intangible Assets of RM 1.468 billion approximates the accumulated Net Profit recoverable from 2P reserves.
To conclude Valuation (Method 2), we arrive at the following:

Our estimates Management estimates
Accumulated Net Profit from 2P Reserves RM 1.452 billion RM 1.468 billion

Financials

By now, we have established the basic economics of Hibiscus’s business, including its revenues (i.e. oil production and oil price scenarios), costs (OPEX, ITDA), profitability (breakeven, future earnings potential) and balance sheet value (2P reserves, valuation). Moving on, we want to gain a deeper understanding of the 3 statements to anticipate any blind spots and risks. We’ll refer to the financial statements of both the FY20 annual report and the 2Q21 quarterly report in this analysis.
For the sake of brevity, I’ll only point out those line items which need extra attention, and skip over the rest. Feel free to go through the financial statements on your own to gain a better familiarity of the business.
https://preview.redd.it/h689bss79br41.png?width=810&format=png&auto=webp&s=ed47fce6a5c3815dd3d4f819e31f1ce39ccf4a0b
Income Statement
First, we’ll start with the Income Statement on page 135 of the AR20. Revenues are straightforward, as we’ve discussed above. Cost of Sales and Administrative Expenses fall under the jurisdiction of OPEX, which we’ve also seen earlier. Other Expenses are mostly made up of Depreciation & Amortization of RM 115m.
Finance Costs are where things start to get tricky. Why does a company which carries no debt have such huge amounts of finance costs? The reason can be found in Note 8, where it is revealed that the bulk of finance costs relate to the unwinding of discount of provision for decommissioning costs of RM 25m (Note 32).
https://preview.redd.it/4omjptbe9br41.png?width=1019&format=png&auto=webp&s=eaabfc824134063100afa62edfd36a34a680fb60
This actually refers to the expected future costs of restoring the Anasuria and North Sabah fields to their original condition once the oil reserves have been depleted. Accounting standards require the company to provide for these decommissioning costs as they are estimable and probable. The way the decommissioning costs are accounted for is the same as an amortized loan, where the initial carrying value is recognized as a liability and the discount rate applied is reversed each year as an expense on the Income Statement. However, these expenses are largely non-cash in nature and do not necessitate a cash outflow every year (FY20: RM 69m).
Unwinding of discount on non-current other payables of RM 12m relate to contractual payments to the North Sabah sellers. We will discuss it later.
Taxation is another tricky subject, and is even more significant than Finance Costs at RM 161m. In gist, Hibiscus is subject to the 38% PITA (Petroleum Income Tax Act) under Malaysian jurisdiction, and the 30% Petroleum tax + 10% Supplementary tax under UK jurisdiction. Of the RM 161m, RM 41m of it relates to deferred tax which originates from the difference between tax treatment and accounting treatment on capitalized assets (accelerated depreciation vs straight-line depreciation). Nonetheless, what you should take away from this is that the tax expense is a tangible expense and material to breakeven analysis.
Fortunately, tax is a variable expense, and should not materially impact the cash flow of Hibiscus in today’s low oil price environment.
Note: Cash outflows for Tax Paid in FY20 was RM 97m, substantially below the RM 161m tax expense.
https://preview.redd.it/1xrnwzm89br41.png?width=732&format=png&auto=webp&s=c078bc3e18d9c79d9a6fbe1187803612753f69d8
Balance Sheet
The balance sheet of Hibiscus is unexciting; I’ll just bring your attention to those line items which need additional scrutiny. I’ll use the figures in the latest 2Q21 quarterly report (2Q21) and refer to the notes in AR20 for clarity.
We’ve already discussed Intangible Assets in the section above, so I won’t dwell on it again.
Moving on, the company has Equipment of RM 582m, largely relating to O&G assets (e.g. the Anasuria FPSO vessel and CAPEX incurred on production enhancement projects). Restricted cash and bank balances represent contractual obligations for decommissioning costs of the Anasuria Cluster, and are inaccessible for use in operations.
Inventories are relatively low, despite Hibiscus being an E&P company, so forex fluctuations on carrying value of inventories are relatively immaterial. Trade receivables largely relate to entitlements from Petronas and BP (both oil supermajors), and are hence quite safe from impairment. Other receivables, deposits and prepayments are significant as they relate to security deposits placed with sellers of the oil fields acquired; these should be ignored for cash flow purposes.
Note: Total cash and bank balances do not include approximately RM 105 m proceeds from the North Sabah December 2019 offtake (which was received in January 2020)
Cash and bank balances of RM 90m do not include RM 105m of proceeds from offtake received in 3Q21 (Jan 2020). Hence, the actual cash and bank balances as of 2Q21 approximate RM 200m.
Liabilities are a little more interesting. First, I’ll draw your attention to the significant Deferred tax liabilities of RM 457m. These largely relate to the amortization of CAPEX (i.e. Equipment and capitalized E&E expenses), which is given an accelerated depreciation treatment for tax purposes.
The way this works is that the government gives Hibiscus a favorable tax treatment on capital expenditures incurred via an accelerated depreciation schedule, so that the taxable income is less than usual. However, this leads to the taxable depreciation being utilized quicker than accounting depreciation, hence the tax payable merely deferred to a later period – when the tax depreciation runs out but accounting depreciation remains. Given the capital intensive nature of the business, it is understandable why Deferred tax liabilities are so large.
We’ve discussed Provision for decommissioning costs under the Finance Costs section earlier. They are also quite significant at RM 266m.
Notably, the Other Payables and Accruals are a hefty RM 431m. What do they relate to? Basically, they are contractual obligations to the sellers of the oil fields which are only payable upon oil prices reaching certain thresholds. Hence, while they are current in nature, they will only become payable when oil prices recover to previous highs, and are hence not an immediate cash outflow concern given today’s low oil prices.
Cash Flow Statement
There is nothing in the cash flow statement which warrants concern.
Notably, the company generated OCF of approximately RM 500m in FY20 and RM 116m in 2Q21. It further incurred RM 330m and RM 234m of CAPEX in FY20 and 2Q21 respectively, largely owing to production enhancement projects to increase the production rate of the Anasuria and North Sabah fields, which according to management estimates are accretive to ROI.
Tax paid was RM 97m in FY20 and RM 61m in 2Q21 (tax expense: RM 161m and RM 62m respectively).

Risks

There are a few obvious and not-so-obvious risks that one should be aware of before investing in Hibiscus. We shall not consider operational risks (e.g. uptime, OPEX) as they are outside the jurisdiction of the equity analyst. Instead, we shall focus on the financial and strategic risks largely outside the control of management. The main ones are:
· Oil prices remaining subdued for long periods of time
· Fluctuation of exchange rates
· Customer concentration risk
· 2P Reserves being less than estimated
· Significant current and non-current liabilities
· Potential issuance of equity
Oil prices remaining subdued
Of topmost concern in the minds of most analysts is whether Hibiscus has the wherewithal to sustain itself through this period of low oil prices (sub-$30). A quick and dirty estimate of annual cash outflow (i.e. burn rate) assuming a $20 oil world and historical production rates is between RM 50m-70m per year, which considering the RM 200m cash balance implies about 3-4 years of sustainability before the company runs out of cash and has to rely on external assistance for financing.
Table 1: Hibiscus EBITDA at different oil price and exchange rates
https://preview.redd.it/gxnekd6h9br41.png?width=670&format=png&auto=webp&s=edbfb9621a43480d11e3b49de79f61a6337b3d51
The above table shows different EBITDA scenarios (RM ‘m) given different oil prices (left column) and USD:MYR exchange rates (top row). Currently, oil prices are $27 and USD:MYR is 1:4.36.
Given conservative assumptions of average OPEX/bbl of $20 (current: $15), we can safely say that the company will be loss-making as long as oil remains at $20 or below (red). However, we can see that once oil prices hit $25, the company can tank the lower-end estimate of the annual burn rate of RM 50m (orange), while at RM $27 it can sufficiently muddle through the higher-end estimate of the annual burn rate of RM 70m (green).
Hence, we can assume that as long as the average oil price over the next 3-4 years remains above $25, Hibiscus should come out of this fine without the need for any external financing.
Customer Concentration Risk
With regards to customer concentration risk, there is not much the analyst or investor can do except to accept the risk. Fortunately, 80% of revenues can be attributed to two oil supermajors (Petronas and BP), hence the risk of default on contractual obligations and trade receivables seems to be quite diminished.
2P Reserves being less than estimated
2P Reserves being less than estimated is another risk that one should keep in mind. Fortunately, the current market cap is merely RM 714m – at half of estimated recoverable amounts of RM 1.468 billion – so there’s a decent margin of safety. In addition, there are other mitigating factors which shall be discussed in the next section (‘Opportunities’).
Significant non-current and current liabilities
The significant non-current and current liabilities have been addressed in the previous section. It has been determined that they pose no threat to immediate cash flow due to them being long-term in nature (e.g. decommissioning costs, deferred tax, etc). Hence, for the purpose of assessing going concern, their amounts should not be a cause for concern.
Potential issuance of equity
Finally, we come to the possibility of external financing being required in this low oil price environment. While the company should last 3-4 years on existing cash reserves, there is always the risk of other black swan events materializing (e.g. coronavirus) or simply oil prices remaining muted for longer than 4 years.
Furthermore, management has hinted that they wish to acquire new oil assets at presently depressed prices to increase daily production rate to a targeted 20,000 bbl by end-2021. They have room to acquire debt, but they may also wish to issue equity for this purpose. Hence, the possibility of dilution to existing shareholders cannot be entirely ruled out.
However, given management’s historical track record of prioritizing ROI and optimal capital allocation, and in consideration of the fact that the MD owns 10% of outstanding shares, there is some assurance that any potential acquisitions will be accretive to EPS and therefore valuations.

Opportunities

As with the existence of risk, the presence of material opportunities also looms over the company. Some of them are discussed below:
· Increased Daily Oil Production Rate
· Inclusion of 2C Resources
· Future oil prices exceeding $50 and effects from coronavirus dissipating
Increased Daily Oil Production Rate
The first and most obvious opportunity is the potential for increased production rate. We’ve seen in the last quarter (2Q21) that the North Sabah field increased its daily production rate by approximately 20% as a result of production enhancement projects (infill drilling), lowering OPEX/bbl as a result. To vastly oversimplify, infill drilling is the process of maximizing well density by drilling in the spaces between existing wells to improve oil production.
The same improvements are being undertaken at the Anasuria field via infill drilling, subsea debottlenecking, water injection and sidetracking of existing wells. Without boring you with industry jargon, this basically means future production rate is likely to improve going forward.
By how much can the oil production rate be improved by? Management estimates in their analyst presentation that enhancements in the Anasuria field will be able to yield 5,000 bbl/day by 2021 (current: 2,500 bbl/day).
Similarly, improvements in the North Sabah field is expected to yield 7,000 bbl/day by 2021 (current: 5,300 bbl/day).
This implies a total 2021 expected daily production rate from the two fields alone of 12,000 bbl/day (current: 8,000 bbl/day). That’s a 50% increase in yields which we haven’t factored into our valuation yet.
Furthermore, we haven’t considered any production from existing 2C resources (e.g. Marigold/Sunflower) or any potential acquisitions which may occur in the future. By management estimates, this can potentially increase production by another 8,000 bbl/day, bringing total production to 20,000 bbl/day.
While this seems like a stretch of the imagination, it pays to keep them in mind when forecasting future revenues and valuations.
Just to play around with the numbers, I’ve come up with a sensitivity analysis of possible annual EBITDA at different oil prices and daily oil production rates:
Table 2: Hibiscus EBITDA at different oil price and daily oil production rates
https://preview.redd.it/jnpfhr5n9br41.png?width=814&format=png&auto=webp&s=bbe4b512bc17f576d87529651140cc74cde3d159
The left column represents different oil prices while the top row represents different daily oil production rates.
The green column represents EBITDA at current daily production rate of 8,000 bbl/day; the orange column represents EBITDA at targeted daily production rate of 12,000 bbl/day; while the purple column represents EBITDA at maximum daily production rate of 20,000 bbl/day.
Even conservatively assuming increased estimated annual ITDA of RM 500m (FY20: RM 318m), and long-term average oil prices of $50 (FY20: $60), the estimated Net Profit and P/E ratio is potentially lucrative at daily oil production rates of 12,000 bbl/day and above.
2C Resources
Since we’re on the topic of improved daily oil production rate, it bears to pay in mind the relatively enormous potential from Hibiscus’s 2C Resources. North Sabah’s 2C Resources alone exceed 30 mmbbl; while those from the yet undiagnosed Marigold/Sunflower fields also reach 30 mmbbl. Altogether, 2C Resources exceed 70 mmbbl, which dwarfs the 44 mmbbl of 2P Reserves we have considered up to this point in our valuation estimates.
To refresh your memory, 2C Resources represents oil volumes which have been discovered but are not yet classified as “commercial”. This means that there is reasonable certainty of the oil being recoverable, as opposed to simply being in the very early stages of exploration. So, to be conservative, we will imagine that only 50% of 2C Resources are eligible for reclassification to 2P reserves, i.e. 35 mmbbl of oil.
https://preview.redd.it/mto11iz7abr41.png?width=375&format=png&auto=webp&s=e9028ab0816b3d3e25067447f2c70acd3ebfc41a
This additional 35 mmbbl of oil represents an 80% increase to existing 2P reserves. Assuming the daily oil production rate increases similarly by 80%, we will arrive at 14,400 bbl/day of oil production. According to Table 2 above, this would yield an EBITDA of roughly RM 630m assuming $50 oil.
Comparing that estimated EBITDA to FY20’s actual EBITDA:
FY20 FY21 (incl. 2C) Difference
Daily oil production (bbl/day) 8,626 14,400 +66%
Average oil price (USD/bbl) $68.57 $50 -27%
Average OPEX/bbl (USD) $16.64 $20 +20%
EBITDA (RM ‘m) 632 630 -
Hence, even conservatively assuming lower oil prices and higher OPEX/bbl (which should decrease in the presence of higher oil volumes) than last year, we get approximately the same EBITDA as FY20.
For the sake of completeness, let’s assume that Hibiscus issues twice the no. of existing shares over the next 10 years, effectively diluting shareholders by 50%. Even without accounting for the possibility of the acquisition of new oil fields, at the current market capitalization of RM 714m, the prospective P/E would be about 10x. Not too shabby.
Future oil prices exceeding $50 and effects from coronavirus dissipating
Hibiscus shares have recently been hit by a one-two punch from oil prices cratering from $60 to $30, as a result of both the Saudi-Russian dispute and depressed demand for oil due to coronavirus. This has massively increased supply and at the same time hugely depressed demand for oil (due to the globally coordinated lockdowns being implemented).
Given a long enough timeframe, I fully expect OPEC+ to come to an agreement and the economic effects from the coronavirus to dissipate, allowing oil prices to rebound. As we equity investors are aware, oil prices are cyclical and are bound to recover over the next 10 years.
When it does, valuations of O&G stocks (including Hibiscus’s) are likely to improve as investors overshoot expectations and begin to forecast higher oil prices into perpetuity, as they always tend to do in good times. When that time arrives, Hibiscus’s valuations are likely to become overoptimistic as all O&G stocks tend to do during oil upcycles, resulting in valuations far exceeding reasonable estimates of future earnings. If you can hold the shares up until then, it’s likely you will make much more on your investment than what we’ve been estimating.

Conclusion

Wrapping up what we’ve discussed so far, we can conclude that Hibiscus’s market capitalization of RM 714m far undershoots reasonable estimates of fair value even under conservative assumptions of recoverable oil volumes and long-term average oil prices. As a value investor, I hesitate to assign a target share price, but it’s safe to say that this stock is worth at least RM 1.00 (current: RM 0.45). Risk is relatively contained and the upside far exceeds the downside. While I have no opinion on the short-term trajectory of oil prices, I can safely recommend this stock as a long-term Buy based on fundamental research.
submitted by investorinvestor to SecurityAnalysis [link] [comments]

Dive Bar Tuesdays - Sunniva 01/18

Seeing the mentions and feel good messaging coming out about this operation lately piqued my curiosity. Normally, I don’t follow companies that spend on self-promotion around stock price, but one of our mods asked for this, and I wanted to see if there is visible cracks between messaging and reality.
There are several, as this outfit has delayed operational announcements, and executed a sale/leaseback to free up cashflow.
All in all, it has the feel of a business in build out, and being somewhat behind the capital train’s lead car. Coinciding with the expanded messaging about the company, they’ve just come to market this morning looking for $10MM to provide working capital until expected revenues materialize. 25% of the total amount is being picked up by management. Coincidental?
I’m neither ‘fur or ‘agin’ this outfit. Their SBC/G&A is very high for what they’ve achieved, and they’re putting much risk into the California rollout. Looking at their cash and leverage, it puts a lot onto making a splash right away.
They’ve put sales numbers to the LTYR potential. With a payback period I eyeball at 3-4yrs. Under their projections, it suggests the buy was good. Tough thing is, it’s all promise. The share price decline they’ve had (and shared with many others) over the past year has stressed access to capital, and much is riding on this distribution deal.
The related party transactions are somewhat concerning to me. They’ve made money across management in real estate transactions, construction contracts, legal fees, and consulting gigs. The reader should note this isn’t nefarious on its’ face - it’s not uncommon to have a tight mgmt team rely on each other’s competencies during build, but the intensity is somewhat high (Note 15).
For in-sector risk, this one seems to have a lot riding going into a competitive, mature market. Discounts sought by retail for wholesale product a definite threat to margins, and a rough couple of quarters (or slowed realization) of sales expansion will stress cashflow.
All I see here is promises, some revenue, & expensive in-house resourcing. I am not close enough (or knowledgeable) about the company and it’s products and the market with which it is heading full steam, into. The valuation I get - including LTYR revenue numbers - comes in at less than the share price value it’s at now, fwiw.
The preceding is the opinion of the author, and not intended to be used to buy or sell any equity or derivatives - or anything else for that matter
submitted by mollytime to TheCannalysts [link] [comments]

ACB - Structure and Current State 05/18

Well, their financials are becoming a phone book. And the breadth of their business topology is wide. I haven't been able to do it justice, but, in tandem with the last look - there is a picture emerging. I've been jammed past couple of days....
Straight to it:
Ok.
I’m going to wait for a couple of events before commenting further. There’s alot more to say, but, there’s a ton of contingencies in here on sales flow. Even more than other industry participants.
In the totality of this, they are lining up to a moment: it being when sales go live. Anything I’d say would be preemptive to some degree. There is a few things I can opine on though.
The numbers around this company - from share count to goodwill to subs/JV’s are bracing. I mean, an appropriate adjective for it eludes me at the moment. Only comparable would be CGC in terms of ‘wow’ factor here, but ACB is much simpler in several respects. Their risks centre around sales numbers, which will need to support a high nested cost of capital, and to realize the goodwill they’ve been accumulating faster than actual assets.
I’ll say their disclosure is very good, and frankly, a tip o’ the cap to accounting again (hi guys….<3).
I don’t know about aggregate quality of the balance sheet though. I’ve heard Cam say it’s strong, but perhaps he’s seeing it with earnings required to support it. I see a lot of earnings required to support this as is. If the balance sheet is strong anywhere, it’s in the legs required to hold it up.
Lots of promises of cashflow need to come to support it. Let alone share price.
submitted by mollytime to TheCannalysts [link] [comments]

Apple Card Review: A (Mostly) Rewarding Way to Pay

I spent a few days hopping around New York City last week, trying to keep my wallet in my pocket. It wasn’t that I was on a tight budget. But I was testing the Apple Card, the new credit card from Apple, and according to its reward program, that’s the most lucrative way to shop.
Introduced back in March, the Apple Card is now generally available to anyone with an Apple mobile device who wants to apply.
If you use the Apple Card via the wireless, contactless Apple Pay system that is becoming increasingly popular with iPhone owners and businesses alike, you get a fairly generous return on every purchase of 2% cash back, no strings attached. That’s a bonus which lines up with the best credit cards around, from major issuers like JP Morgan Chase and Bank of America.
So when I grabbed a cup of coffee and a cookie at a cute bakery on the Upper West Side, for example, paying with the Apple Card through my iPhone earned me an almost immediate refund of 11 cents on my $5.63 purchase. (The cookie was good, too.) Later, after traipsing around on a hot summer day, I picked up a $2.87 bottle of water at CVS, also using wireless Apple Pay. Along with the hydration, I scored 6 cents cash back.
A big difference between this credit card and its competition is that unlike other rebate cards, the Apple Card’s cash reward appears almost immediately after the purchase is processed. To access these funds, you simply open the Wallet app on your iPhone, which is the home of Apple Card itself, showing your current balance, recent transactions, and other info updated in almost real time. The Wallet app also displays your “Daily Cash Balance.” These funds can be spent like a debit card on purchases using the digital Apple Pay Cash card, sent to a friend via Apple Pay, or even used to partially pay off the balance on your Apple Card.
There’s another, better benefit to using the Apple Card: Paying for purchases from Apple using the digital credit card earns 3% cash back. For example, my family’s $5 per month _New York Times_cooking app subscription now brings back 15 cents each month. And the $120 a year I pay for a family iCloud storage plan earns $3.60 in rewards. And if I decide finally to upgrade my aging MacBook Pro with the rumored 16-inch model coming later this year (please revamp the keyboard, Apple!), the cash back perk will be even more substantial—$90 on a $3,000 purchase, for example. There’s no other way to get such high rebates on purchases directly from Apple (though some cards affiliated with retailers like Target and Amazon will give 5%, if you’re buying Apple hardware sold at those outlets).

Taking a swipe at other cards

When using the Apple Card at establishments that aren’t set up for app-enabled, contactless payments, things get markedly less magical. To start, you have to pull the (admittedly cool looking white, titanium) Apple Card out of your wallet—and that can be a drag. Then, the rebates drop to just 1%, lagging competing cards.
A fair counterpoint, however, to the meager 1% cash back on physical card swipes is that Apple also forgoes fees that other cards charge. Apple Card has no annual, over-limit, late, or foreign exchange fees. And that’s great, because those can add up. For instance, imagine if I spent $1,000 over the course of a month on a competing card to get $20 cash back, instead of the $10 I’d get from swiping my Apple Card. Every other credit card I know of charges late fees—and one $35 late fee would quickly wipe out that $20 cash back reward, and then some. Foreign exchange fees can also add up quickly (though there are other credit cards, particularly those affiliated with airline rewards programs, that also forgo forex fees).
Assessing whether the Apple Card makes financial sense for you, therefore, requires making assumptions about how much you spend with Apple (including all your iTunes purchases and subscriptions), how often you’re able to use mobile payments, and how often you typically trigger the fees that Apple doesn’t charge.
For me, it certainly makes sense for all my Apple purchases and when I’m paying via mobile. But Apple also just added Uber as 3% rebate partner—a perk for its cardholders—and future partnerships like this could make the Apple Card more attractive at more businesses.
Even when you’re not rebate hunting or avoiding fees, the Apple Card feels like a futuristic, if long overdue upgrade to spending on plastic in the 21st century.
The application process, within the Wallet app on an iPhone or iPad, takes just a few minutes and, if you’re approved, the card is added as an option in Apple Pay immediately. The white, titanium physical card is optional, but came via FedEx within a few days after I requested one. Activating the card was as simple as holding it near my phone with the Wallet app open.
Every transaction quickly appears listed in the Wallet app on my iPhone, with a categorization (like “transportation” or “food and drink”) along with the rate of cash back I received (3% for spending with Apple, 2% for mobile payments, and 1% for everything else). Tap on any transaction, and Apple shows on a map exactly where you made the purchase. For some stores, like that CVS where I got the water, there’s even a deeper link, with all kinds of info about the business, like the phone number, hours of operation, and customer reviews. Apps for my other credit and bank cards aren’t nearly so nimble.
With a couple of teenagers out in the wild using our family credit card, it can be hard to identify who spent what where, with the typically meager information provided by the credit card company, so the geo-location info is fantastic. Of course, I can’t yet opt to switch the whole family to the Apple card—there’s no option yet to add additional cardholders to my account (a feature available with every other card I’m aware of).
Another potential perk: Apple has committed to not share cardholders’ spending data with marketers, a promise partner Goldman Sachs has also agreed to.
But there is a downside to that privacy policy. As a result of refusing to share data, information that goes into the Apple Card doesn’t come out. That means there’s no way to see it on the web or share it with other financial apps, like Mint or Personal Capital, that can help you budget and track spending across multiple bank and credit card accounts. There also doesn’t appear to be any way to generate an annual report, a helpful tool for tax preparation, though Apple could always add that feature later.
Another thing that could be added to the Apple Card later is discoloration, apparently. A close reading of the card’s care instructions has prompted concern that its white, titanium material may lose its luster when housed in leather wallets, or after rubbing against other cards. But after my initial week of Apple Card use—mostly through the app, which provides the best incentives—I can report that my “plastic” remains pristine.
With version 1.0 of the Apple Card, it’s a little hard to square the product with Apple CEO Tim Cook’s assertion of “the most significant change in the credit card experience in 50 years.” But for people who spend a lot with Apple, it’s a solid addition to your wallet—at least your mobile one.

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—Can Apple afford to make its streaming video service free?
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Catch up with Data Sheet, _Fortune_‘s daily digest on the business of tech.
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Drone Strikes Are Escalating a Geopolitical Crisis—Which Could Help the Dollar

Investors rushing back to risk assets this month just got a reminder of the kind of simmering geopolitical threats out there. That could be good news for the dollar.
The drone strike on one of the world’s biggest oil facilities over the weekend raises the specter of escalating tensions across the Middle East — exactly the kind of scenario that typically fuels demand for assets denominated in the world’s reserve currency.
“Any retaliatory measures by Saudi Arabia would inevitably lead to an increased geopolitical risk scenario, i.e. the demand for safe-haven currencies can be expected to remain buoyant,” wrote Marc-André Fongern, strategist at MAF Global Forex. “From a fundamental perspective, there is still hardly any alternative to the dollar.”
Throw in still-festering trade tensions, record policy uncertainty, weak growth in Europe — with no fiscal stimulus in sight — and the continued outperformance of American markets, and the stage may be set for a new phase of greenback strength if the bulls have it right.
Even after a September pullback, the dollar is the best performing G-10 currency this quarter, and the Bloomberg Dollar Spot Index remains close to levels notched two years ago. The latter gained 0.3% at 10:19 a.m. in New York on Monday as the drone strike in Saudi Arabia rippled through markets.
The latest flow data underscore the kind of support the exchange rate is enjoying from global investors these days. Numbers from EPFR Global Data released last week show cash was piling into stocks amid the global bond sell-off, but beneath the surface it all headed one way: American equity funds attracted more than $17 billion in the week through Sept. 11. Shares in Europe, Japan and the emerging markets all recorded outflows.

Trade War

As the trade war drags on, haven demand for the U.S. currency is likely to continue, according to Ned Rumpeltin, the European head of G-10 currency strategy at Toronto Dominion Bank. He points out there have been several false dawns in the protectionist spat, and says it’ll be no surprise if that happens again.
“The dollar remains the best house in a very bad neighborhood,” he said. “There are few places in the G-10 where the dollar can underperform.”
Analysis from JPMorgan Chase& Co. and Goldman Sachs Group Inc. shows the dollar is getting a lift from weakness in developing nations spurred by fears of a slowdown in China.
Absent a significant pick-up in risk appetite that diminishes the dollar’s flight-to-quality credentials, even fresh U.S. monetary easing would struggle to materially undercut the currency, according to Jane Foley, Rabobank’s head of currency strategy.

Bear Hunt

There remains plenty of ammo for dollar bears. The U.S. has twin deficits and the greenback is the most expensive G-10 currency based on the Bank for International Settlement’s real effective exchange rate.
One of the biggest bulls — HSBC Holdings Plc — acknowledges risks are rising to its strong-dollar call issued in April 2018. In a recent note, it stress-tested the potential impact of three scenarios: fiscal stimulus outside America, thawing trade relations, and U.S. intervention to weaken the currency. They all pose “serious negative consequences” for the greenback, HSBC said.
But nominal rate differentials matter in a world where more than $13 trillion of bonds globally yield below zero.
Around 60 trillion yen ($560 billion) Japanese government bonds with a coupon of over 1% will mature within three years and that money is likely to be reinvested in U.S. bonds where the whole curve is still positive, said Naoya Oshikubo, a senior economist at Sumitomo Mitsui Trust Asset Management. The company is one of the managers of Japan’s Government Pension Investment Fund, the world’s largest.
“The dollar will be well supported because of these flows,” Oshikubo said.
Japanese investors bought 2.47 trillion yen of U.S. government bonds in July, the most since 2016, according to the latest data.
“The dollar is still ticking a lot of boxes for a currency to be long: high liquidity, high security, high yield. Its economic situation still better than others,” said Andreas Koenig, head of global foreign exchange at Amundi Asset Management. “It’s difficult to find attractive alternatives.”

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Social Security increases in 2020 will be noticeably smaller than this year
U.S. recession indicators haven’t made up their minds
Don’t miss the dailyTerm Sheet, Fortune’s newsletter on deals and dealmakers.
* More Details Here
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Dive Bar Pub Crawl - Third Six

I'm doing a tribute to the 24 days of Christmas by going over the financial statements of 24 companies that are considered downrange, speculative, and just plain high risk.
Our first six stops is fondly captured here, the second one is here.
All opinions are my own, and certainly not a recommendation for or against any of them, or to buy or sell.
Many are companies I've never looked at before. In some cases, I'd never even heard of them. I limited myself to 45mins to each, and kept mainly to most recent financial statements and MD&A's. You'll likely know more about the company than me if you're following them. This is only my reactions with a brief commentary about what I saw in the financial statements.
QCC - Quadron Cannatech Corp
If one wants exposure to peripherals, this is one way. Financials aren’t bad, but manufacturers won’t drive the same margins demanded by share price levels, and only indirectly connected to cannabis. Cheap foreign goods an ever present threat.
CMM - Canabo Medical Inc.
I think recreational is going to kill these guys. Research might be the only thing they’re doing in a couple of years. Someone somewhere will disagree. They’re going to run out of granny’s fast. Even if there is alot of granny’s, they’re gonna be in competition with everyone to get their annual Christmas baking.
ISOL - Isodiol International (in USD unless noted)
Ok. They’ve got assets, revenues, and margin. They’ve also got a shit ton of balance sheet leverage. Capital structure is detailed, but without a super-computer and Stephen Hawking sitting beside me, it’s hard to get a handle. Good apparent disclosure, but simply shifts onus of risk onto reader to unwind. There’s a business in here underneath all of the shit. They also have excellent ‘pot-in-coffee’ and really (really) nice furniture. Whether the business can pay for it all, I can’t tell. Needlessly busy in financials.
IMH - Invictus MD
A brusque 17 pages. This one could use more time. Decent underlying business - while speculative - it has real assets. Capital structure has some plug ins and a few moving parts that beg questions. All a quick scan did was increase curiosity. If the elves had time, they’d want to look at the frame on this one and check for corrosion. Theres alot not said here.
MDM - Marapharm Ventures
Way too much going on in the ass end of this one. US exposure is one thing, growing and selling dope is alot simpler than this is though. A 31 page effort. Industry average ffs. These guys though have potential to be at 70 pages. Get a straight answer if you can.
ATT - Abattis Biocuetical Corp.
This dog don’t hunt. That said, I can’t attest to it being a ‘dog’, or that it even knows what ‘hunt’ even means. Who the fuck suggested this one? Why did I listen? All I have now is unruly elves, sadist. I hope you are proud.
And now, we’re short 5 companies to complete the Dive Bar Pub Crawl before Christmas.
Please, if you are reading this, send help. The elves need 5 more stocks. Anything but ICC - Luis Suárez has already tipped then off, they’re on it.
submitted by mollytime to TheCannalysts [link] [comments]

Dive Bar Pub Crawl - Second Six

I'm doing a tribute to the 24 days of Christmas by going over the financial statements of 24 companies that are considered downrange, speculative, and just plain high risk.
Our first six stops is fondly captured here.
All opinions are my own, and certainly not a recommendation for or against any of them, or to buy or sell.
Many are companies I've never looked at before. In some cases, I'd never even heard of them. I limited myself to 45mins to each, and kept mainly to most recent financial statements and MD&A's. You'll likely know more about the company than me if you're following them. This is only my reactions with a brief commentary about what I saw in the financial statements.
LDS - Lifestyle Delivery Systems
Thing feels a like an ATM for management to me.
RTI - Radient Technologies
Of all I’ve looked at, I think this business model could work if they can wait until it actually generates revenue. Top heavy balance sheet needs concrete supports quick.
TNY - Tinley Beverage Company
All sparkles and rainbows and hope. The only question is if there will be anyone who wants to buy what they make. Feedstock not well defined. Scalability a real concern. Suspect they’ll need a shit ton of money if they actually try to. Feels like campers.
IMH - Invictus EDIT - Dec21 1100hrs Elves pulled a boner, covered wrong financial statements. Will be corrected after they come to later today. Replaced for now by......
iAn - Ianthus Capital Holdings
A business built on excel spreadsheets by bankers for bankers. So many contingencies to revenue combined with jurisdictional uncertainty, this is simply a hedge fund. Short and mid-term operational exposure is extreme.
CHV - Canada House Wellness Group Inc
I’m going to stop, because there’s many more to go, and there’s not much more to see here in terms of doing a high level look. This has been my favorite to do so far, because their disclosure is so good. I really like the idea of a focused, vertically integrated company too, but this company is a train wreck on paper. Whether this one can survive for another year…. EDIT UPDATE! Day after I posted this, CHV announced a $7MM convertible raise, spending 25% of it on paying debt and accounts payable. Expensive, and suggests ops aren't paying the bills. Not atypical in growth phases. Exceptionally good disclosure though. Of note, 60% of the stock is owned by only 2 investors and insiders.
LIB - Liberty Leaf Holdings
Doesn’t look bad on paper. I’d gauge the risk on whether or not production can come in on time, what the facility actually looks like, and if they can get product sold mucho pronto. CEO has no history of anything connected to cannabis, only equity structures. Despite financial ‘health’, high risk Dive Bar goodness. Speculative is an understatement for this one. If IR can specifically address those three top things accurately, it offers focused regional cannabis exposure. Problem with that is the supply bubble potential in BC though. If they were in Manitoba….
submitted by mollytime to TheCannalysts [link] [comments]

Question about one of the side bar tutorials

I was reading the foam board tutorial and the forex /plastic card part looks really cool and I would like to incorporate some of these techniques into builds. However, I can't find "forex" as a product, is it the same as the pvc sheets you can buy at home depot?
Also, what material are the plastic cards?
Thanks!
submitted by JmicIV to TerrainBuilding [link] [comments]

ACB - A Convertibles Update

I thought it a good time to revisit ACB's prior convertible debt issue, in lieu of their share price advances and further convertible dumps.
For background, at the bottom is a post I did in June 2017 that pulled their debt apart, and tried to make some sense of it.
This is what ACB has done since. There's millions more outstanding, I'll consolidate and update at some point.
They'd triggered an earlier tranche debentures at trigger of some $25MM, squashing that bug earlier this month. They'll be booking a $2MM charge against income in Q2-2018 for this. As well, given share price of today, the accelerated 17MM tranche @ $3 will be executed in December. While it's cash proceeds of some $50MM, they'll be taking a charge against income of $90MM for it in Q2-2018 as well.
Yeah, convertibles can become very expensive money.
One view would be that ACB is doing it now, because it's just gonna become waaay more expensive later on. And, they can deploy that $50MM to build hard assets.
If shares soar, it'll be seen as having been prudent. One way or the other, they've just paid $1.75 for a dollar, 50 million times.
There's more issues as well: 1.9MM 5yr @ $2.76, 1MM 5yr @ $2.39, and.........drum roll...
150MM of 3yr options and warrants for $75MM cash, priced at $3 & $4 respectively in Q1 2018.
I'm gonna need some time and a quantum computer to hash this out. On the face of it, this all makes the phrase 'holy shit' seem a quiet understatement.
Ima gonna do a long haul on this and post it - mainly because the totality of it is so massive relative to the company.
Stay tuned...
***Deconstructing Convertible Debentures - or - How to Quietly Shift Massive Costs onto Shareholders**** - June 2017
I've made references to this before, but, I think a 'Dick and Jane' primer on the subject should be done. Despite the big words in the title, this stuff is really straightforward, and the math is grade 9 level.
It's all about financing.
That is, it's just like you going to the bank for a mortgage or a car loan. You need money you don't have to buy the shit you'd like. So. You're likely not gonna issue debentures for that Maserati (or that creamy lil' Ford Focus you simply have to have), but you will need to pledge some capital or use your credit worthiness to get financing. Businesses do the same thing. There's just more ways for them to do it. I'm not gonna go into them all - innovation in credit and credit-related derivatives is holy-fuck level complex.
Fortunately, we don't need to go anywhere near that heady stuff (google 'interest rate call swaption' if you've got a finance fetish. Or maybe you're an applied mathematician/financial engineer temporally hedging your long dated forex book at a macro level).
Some complexity does play a role here though, but awareness is all that's needed.
First - Definitions:
Second - Options
Options are a derivative that is comprised of two values: intrinsic and extrinsic.
Third - What's a convertible debenture?
It's debt taken by a company, and given to a lender. It's simply a promise to pay. The lender asks for interest to be paid on the money lent (like CP or bonds), usually at rates higher than a secured loan.
Sometimes the companies can't afford the interest rates. So, they get creative to entice lenders.
One way is to offer nested options around either the company or perhaps future cash flows.
Aurora (ACB) recently issued some convertible debentures to finance the Sky expansion. Cool. CMED issued some a year and a bit ago. Ok.
Let's look at ACB's in detail, and find out what it cost them to get financing. I'm only gonna do a napkin calc. I could do the deep one, but, I don't want to spend 2 hours to get called names by the non-contributing lost stockhouse vagrants in here. Honestly, you can do the math too. And I'll point out where the complex is, so you'll know what you don't know.
Knowing what you don't know is really useful in life. And business.
I've seen a bunch in online boards say how great that 7% interest rate ACB got on the $75 million. Is that the actual cost of the money?
No. It's not.
They're paying a whole lot more than that. And if you're a shareholder, you should be really fucking pissed. I would be. I've never held them, or if I did, it was some short term swing trading last fall. If I can't remember, it wasn't much to remember.
Fourth - ACB's Convertible Debenture Issue
The $75 million lent is repayable on May 2, 2019. 7% interest, payable semi annually (June, Dec). I'm gonna ignore compounding, and do a straight calc. Materially, it won't matter.
The debentures also have a call option nested in them.
They also have a put option in them.
Both of those options have value. Both extrinsic and intrinsic.
So, the lender is not only getting interest on the cash, they're also getting free options from ACB. This was likely needed to sweeten the deal enough for them to do it.
There are models out there that value options. They hold up really well. Mathematical laws and all. Simplicity and elegance.
Fifth - Total Financing Cost
Annually, ACB is paying $5.25MM to service the debt. Total interest cost before they have to repay the principal is $10.5MM. Right?
What about that option value they gave up? ACB could've sold warrants/options, and used the premium received as financing too.
Instead, they gave to to the financiers. What did they give?
Using a $2.20 market price for ACB (today's, not May second), 2 years duration, 100% vol, the call option is $0.96.
The put option is $3.20.
So, effectively a call option on ~= 20 million shares, and a put on some ~= 15 million shares - assuming full strike on the $75 million.
If ACB had written options themselves and sold them, they could have collected the dough, issued contingent treasury shares as a reserve on the balance sheet, and kept the premiums as recompense.
I mentioned that there is some complexity in this. The hair on this is in the continuous conversion of the options (open to exercise at any time subject to 30 days notice - also known a a 'European' option, rather than an 'American' option). It's also got debt covenants within the debentures that prohibit ACB from further dilution (this is a failsafe for the lender, in case ACB decides to crash the stock by issuing another billion shares).
And - the lender keeps their downside intact (recall, if ACB goes tits up, they've got no asset to grab), the lender will short an equivalent $75million in stock. They'll take the money, and invest it in short term money markets while waiting, topping up their 7% nominal interest. It's called a credit box.
Despite it being a debenture, the lender is effectively fully securitized.
So, how much did that $75 million cost them?
Well, it's all there. I encourage you to look at this and work through it. I hope you have questions.
The CFO at Aurora will have the answers.
TLDR: Aurora is paying more than 37% in effective interest rates on their May 2 debenture issue.
EDIT - a couple of more links inserted and a clean up of my shitty writing.
EDIT 2 - at the bottom of this all is the impact on shareholders. What I assume is the obvious - I never did actually state. If the lender exercises, ACB will have to book a loss on their income statement for the difference between the strike of the call, and market. Potentially, it could be lots. If ACB hit $5 before May 2019, they'll take a $50MM hit to income. Probably wiping out a half year (or more) in sales. That's really the bottom of this all. Just fyi.
submitted by mollytime to TheCannalysts [link] [comments]

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Fundamental analysis is the study of the overall economic, financial, political…
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Technical analysis is the study of prices over time, with charts being the primary tool…
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The term ‘trend’ describes the current direction of the financial instrument…
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What is a Technical Indicator

Technical Indicators are a result of mathematical calculations/algorithms…
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  1. What is Forex? Think the stock market is huge? Think again. Learn about the LARGEST financial market in the world and how to trade in it.
    1. What Is Forex?Learn about this massively huge financial market where fiat currencies are traded.
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    3. Buying And Selling Currency PairsThe first thing that you need to know about forex trading is that currencies are traded in pairs; you can’t buy or sell a currency without another.
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    8. Forex Trading is NOT a Get-Rich-Quick SchemeWhile possible if you’re a trading genius with ice in your veins and you’re luckier than a lottery winner, building wealth through trading takes time and practice to build the skills and experience needed to be successful.
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submitted by TRESORFX to u/TRESORFX [link] [comments]

New job or trading?

Hello all!
I'm a 23 year old male who has been in the workforce since HS, most of that time being in my father's convenience store so little to nothing to show for that.
I've known that I want to branch into the territory of self-management and self-reliance for quite some time now but I'm stuck in a bit of a rut. I currently work for a temp agency as a shipping clerk for a 3PL. The pay definitely isn't bad for my age/position/experience (~$15/40hrs), but I find, regardless of anything, I kinda dread going into work everyday. I usually find this irritability to fade by the time I've been there for a few hours, but it's def. not something I look forward to in the mornings. That and my hours usually mean I'm getting off in the dead of the night; a lifestyle that I've lived for quite some time and am not at all a fan of. I find it to be really bad for social life, general sleep pattern, and overall sense of wellbeing. The other shipping clerks aren't really in a position to work these hours with their schedules.
For a long time now, I've been reading up on plenty of PF material; investing, business building, and the like. Especially trading. I've adjusted my PF habits a lot. Whereas I used to get $1.6k untaxed from pops' store and spend nearly all of it, now I save nearly everything I can. I have a Wealthfront account that I deposit a few hundred into every month. I'll soon get my 401k and, potentially, a Roth IRA. Have an excel sheet I update with all expenses and capital. It's been a big improvement, at the least, to me. I have very few expenses (live with rents) and only really tend to spend on eating out (which I'm curbing bit by bit with mealprep), gas, and necessities such as toothpaste/shampoo/deodorant/etc.
What I want to ask is, should I utilize a networking/job searching course I have that retails for a few k, or should I continue to study and slowly branch out into trading? FOREX is what I'd like to do and I study it very, very much. I don't want to dive into trading trading until I feel like I have a really solid base level by which to leap from. The general concepts of chart analysis and risk management are very appealing to me, but I don't know if I should really use that as a rationale by which to dive into such a new and foreign system.
What are your thoughts? Am I better off sticking with and riding out my position? Despite my nearly every never-being-on-time issue (which I'm no longer going to let happen), my supervisor has noticed my general speed (i.e. hoards of Windows shortcuts) and novice PC expertise to locate things within our IMS and find information for truck loads. When we get heavy loads from a big account, I update the manager of the facility via email with entry/exit times, etc. - He sent me a personal email (on work email) telling me that he's happy to have a mind as sharp as mine and is always open to direct communication about ways to improve efficiency. That gets me excited and makes me want to dive 200% into learning everything about this business and seeing where I can offer suggestion; but I'm still technically a temp, not even part of the company.
submitted by yesim2sp00ky4u to Entrepreneur [link] [comments]

Overview of Current Market Valuations and Toyota Motors (TM)

Hello All,
Every now and then I do stock screens to see if there are any companies that would be a good value investment. Thanks to the bull market, the opportunities have been few and far between over the last year or two. However one company has consistently popped up in my screens. I initially ignored it as the company is in a sector I personally don't like to invest in due to the large capital requirements. The company is Toyota Motors (TM).
Simply put, the valuation seems too good to be true.
First off, let me show you what I am talking about. Here are the heat maps from FinViz:
Now as you can see, the general trend of the market is giving you discounts to Financials, Utilities, and Basic Materials, more specifically oil and gold.
Of those sectors, I really only like Financials as big oil has been in a downward trend over the past three years. Both Exxon and Chevron have produced less oil than the previous years and are both spending at near record high CapEx levels with no turnaround yet. I have continuously looked at both of them as I don't have any oil in my current portfolio, but haven't got myself to buy either of them.
Financials will continue to be attractive at these levels as investors still don't trust their book values since the financial crisis even though asset quality has continued to improve on a broad base. Over the next 5 years, interest rates will rise which will increase their spread which in turn increases their profitability.
For the most part, it appears healthcare, consumer goods, and services are currently overvalued.
Now, let's look at Toyota. Below is a quick multiples valuation against TM's peers. These are from Yahoo! Finance as GM isn't on FinViz for some reason.
P/E
Forward P/E
P/E/G
P/BV
As you can see, the whole sector looks cheap on a multiples basis, but of that bunch Toyota seems to win out on an overall valuation based on multiples.
Per my own investing rules, as I am a long term shareholder, I won't touch a company that has recently been bankrupt, therefore I rule out GM for any potential investments.
Now Toyota is too big of a company to do a full report on in a couple of days. However, of what little research I have done, this is what I have found.
First of all, on a macro perspective, the yen has weakened against both the US Dollar and the Chinese Yuan. Over the past two years, the Dollar and Yuan have both gained over 30% to the yen and over 10% this past year. This is a great thing for a Japanese multinational as North America and Asia is TM's second and third largest markets which combined are 46% of 2013's sales.
Because of this, profitability should be higher within Toyota which is also a reason to buy them over GM or Ford as the american automakers will lose money with a strong dollar overseas.
Over the past three years, TM has a Compound Annual Growth Rate (CAGR) of 5.12%. Last year, North America saw 32.8% sales growth and Asia saw 30.22% sales growth. This compounded with the yen weakening is a one-two punch.
Due to the strong demand in both North America and Asia, Toyota has had a surge in Consolidated Net Income for Fiscal Year 2014 of 135% in which ForEx is responsible for 123% of that growth alone. In this latest quarter, Net Revenues are up 23.9% with Net Income up 118%.
Toyota's Shareholder Presentation
Margins have increased across the board with their Gross Profit increasing from last year:
TM's Gross Profit Margin
As for a quick look at the balance sheet, Toyota has been de-leveraging over the past 5 years with Total Debt / Equity of 1.25 in 2009 to 1.16 in 2013. Book Value per Share has stayed relatively flat but grew 15.14% from 2012 to 2013. Compare that to a one year increase in share price of only 12.25% I believe we have a winner.
This is only what I have found off of a couple hours looking at this tonight and have only scratched the surface as to the information on this company.
However after just a small amount of research I firmly believe this is a truly undervalued company and should be bought right away.
References: Quick Stats pulled from TM's Annual Report
EDIT Thank you all for the replies. I should state that this is just beginning due diligence and there are several assumptions with this thesis, mainly that the Yen will stay depressed at least over the next year. This type of condition is a short term catalyst only and not a long term theme. As some have mentioned already, FX has been almost entirely behind TM's profit and there are real geopolitical risks between Japan and China.
Next week I will put together another post looking more into the actual underlying company's long term performance and management's strategic plan going forward. That way we can get a glimpse of what the company might look like in the future.
Again thank you all for the kind words and the intelligent discussion around this topic.
submitted by magesform to investing [link] [comments]

Subreddit Stats: cs7646_fall2017 top posts from 2017-08-23 to 2017-12-10 22:43 PDT

Period: 108.98 days
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  1. 296 points, 24 submissions: tuckerbalch
    1. Project 2 Megathread (optimize_something) (33 points, 475 comments)
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    7. manual_strategy project megathread (17 points, 825 comments)
    8. project 4 megathread (defeat_learners) (15 points, 209 comments)
    9. project 5 megathread (marketsim) (15 points, 484 comments)
    10. QLearning Robot project megathread (12 points, 691 comments)
  2. 278 points, 17 submissions: davebyrd
    1. A little more on Pandas indexing/slicing ([] vs ix vs iloc vs loc) and numpy shapes (37 points, 10 comments)
    2. Project 1 Megathread (assess_portfolio) (34 points, 466 comments)
    3. marketsim grades are up (25 points, 28 comments)
    4. Midterm stats (24 points, 32 comments)
    5. Welcome to CS 7646 MLT! (23 points, 132 comments)
    6. How to interact with TAs, discuss grades, performance, request exceptions... (18 points, 31 comments)
    7. assess_portfolio grades have been released (18 points, 34 comments)
    8. Midterm grades posted to T-Square (15 points, 30 comments)
    9. Removed posts (15 points, 2 comments)
    10. assess_portfolio IMPORTANT README: about sample frequency (13 points, 26 comments)
  3. 118 points, 17 submissions: yokh_cs7646
    1. Exam 2 Information (39 points, 40 comments)
    2. Reformat Assignment Pages? (14 points, 2 comments)
    3. What did the real-life Michael Burry have to say? (13 points, 2 comments)
    4. PSA: Read the Rubric carefully and ahead-of-time (8 points, 15 comments)
    5. How do I know that I'm correct and not just lucky? (7 points, 31 comments)
    6. ML Papers and News (7 points, 5 comments)
    7. What are "question pools"? (6 points, 4 comments)
    8. Explanation of "Regression" (5 points, 5 comments)
    9. GT Github taking FOREVER to push to..? (4 points, 14 comments)
    10. Dead links on the course wiki (3 points, 2 comments)
  4. 67 points, 13 submissions: harshsikka123
    1. To all those struggling, some words of courage! (20 points, 18 comments)
    2. Just got locked out of my apartment, am submitting from a stairwell (19 points, 12 comments)
    3. Thoroughly enjoying the lectures, some of the best I've seen! (13 points, 13 comments)
    4. Just for reference, how long did Assignment 1 take you all to implement? (3 points, 31 comments)
    5. Grade_Learners Taking about 7 seconds on Buffet vs 5 on Local, is this acceptable if all tests are passing? (2 points, 2 comments)
    6. Is anyone running into the Runtime Error, Invalid DISPLAY variable when trying to save the figures as pdfs to the Buffet servers? (2 points, 9 comments)
    7. Still not seeing an ML4T onboarding test on ProctorTrack (2 points, 10 comments)
    8. Any news on when Optimize_Something grades will be released? (1 point, 1 comment)
    9. Baglearner RMSE and leaf size? (1 point, 2 comments)
    10. My results are oh so slightly off, any thoughts? (1 point, 11 comments)
  5. 63 points, 10 submissions: htrajan
    1. Sample test case: missing data (22 points, 36 comments)
    2. Optimize_something test cases (13 points, 22 comments)
    3. Met Burt Malkiel today (6 points, 1 comment)
    4. Heads up: Dataframe.std != np.std (5 points, 5 comments)
    5. optimize_something: graph (5 points, 29 comments)
    6. Schedule still reflecting shortened summer timeframe? (4 points, 3 comments)
    7. Quick clarification about InsaneLearner (3 points, 8 comments)
    8. Test cases using rfr? (3 points, 5 comments)
    9. Input format of rfr (2 points, 1 comment)
    10. [Shameless recruiting post] Wealthfront is hiring! (0 points, 9 comments)
  6. 62 points, 7 submissions: swamijay
    1. defeat_learner test case (34 points, 38 comments)
    2. Project 3 test cases (15 points, 27 comments)
    3. Defeat_Learner - related questions (6 points, 9 comments)
    4. Options risk/reward (2 points, 0 comments)
    5. manual strategy - you must remain in the position for 21 trading days. (2 points, 9 comments)
    6. standardizing values (2 points, 0 comments)
    7. technical indicators - period for moving averages, or anything that looks past n days (1 point, 3 comments)
  7. 61 points, 9 submissions: gatech-raleighite
    1. Protip: Better reddit search (22 points, 9 comments)
    2. Helpful numpy array cheat sheet (16 points, 10 comments)
    3. In your experience Professor, Mr. Byrd, which strategy is "best" for trading ? (12 points, 10 comments)
    4. Industrial strength or mature versions of the assignments ? (4 points, 2 comments)
    5. What is the correct (faster) way of doing this bit of pandas code (updating multiple slice values) (2 points, 10 comments)
    6. What is the correct (pythonesque?) way to select 60% of rows ? (2 points, 11 comments)
    7. How to get adjusted close price for funds not publicly traded (TSP) ? (1 point, 2 comments)
    8. Is there a way to only test one or 2 of the learners using grade_learners.py ? (1 point, 10 comments)
    9. OMS CS Digital Career Seminar Series - Scott Leitstein recording available online? (1 point, 4 comments)
  8. 60 points, 2 submissions: reyallan
    1. [Project Questions] Unit Tests for assess_portfolio assignment (58 points, 52 comments)
    2. Financial data, technical indicators and live trading (2 points, 8 comments)
  9. 59 points, 12 submissions: dyllll
    1. Please upvote helpful posts and other advice. (26 points, 1 comment)
    2. Books to further study in trading with machine learning? (14 points, 9 comments)
    3. Is Q-Learning the best reinforcement learning method for stock trading? (4 points, 4 comments)
    4. Any way to download the lessons? (3 points, 4 comments)
    5. Can a TA please contact me? (2 points, 7 comments)
    6. Is the vectorization code from the youtube video available to us? (2 points, 2 comments)
    7. Position of webcam (2 points, 15 comments)
    8. Question about assignment one (2 points, 5 comments)
    9. Are udacity quizzes recorded? (1 point, 2 comments)
    10. Does normalization of indicators matter in a Q-Learner? (1 point, 7 comments)
  10. 56 points, 2 submissions: jan-laszlo
    1. Proper git workflow (43 points, 19 comments)
    2. Adding you SSH key for password-less access to remote hosts (13 points, 7 comments)
  11. 53 points, 1 submission: agifft3_omscs
    1. [Project Questions] Unit Tests for optimize_something assignment (53 points, 94 comments)
  12. 50 points, 16 submissions: BNielson
    1. Regression Trees (7 points, 9 comments)
    2. Two Interpretations of RFR are leading to two different possible Sharpe Ratios -- Need Instructor clarification ASAP (5 points, 3 comments)
    3. PYTHONPATH=../:. python grade_analysis.py (4 points, 7 comments)
    4. Running on Windows and PyCharm (4 points, 4 comments)
    5. Studying for the midterm: python questions (4 points, 0 comments)
    6. Assess Learners Grader (3 points, 2 comments)
    7. Manual Strategy Grade (3 points, 2 comments)
    8. Rewards in Q Learning (3 points, 3 comments)
    9. SSH/Putty on Windows (3 points, 4 comments)
    10. Slight contradiction on ProctorTrack Exam (3 points, 4 comments)
  13. 49 points, 7 submissions: j0shj0nes
    1. QLearning Robot - Finalized and Released Soon? (18 points, 4 comments)
    2. Flash Boys, HFT, frontrunning... (10 points, 3 comments)
    3. Deprecations / errata (7 points, 5 comments)
    4. Udacity lectures via GT account, versus personal account (6 points, 2 comments)
    5. Python: console-driven development (5 points, 5 comments)
    6. Buffet pandas / numpy versions (2 points, 2 comments)
    7. Quant research on earnings calls (1 point, 0 comments)
  14. 45 points, 11 submissions: Zapurza
    1. Suggestion for Strategy learner mega thread. (14 points, 1 comment)
    2. Which lectures to watch for upcoming project q learning robot? (7 points, 5 comments)
    3. In schedule file, there is no link against 'voting ensemble strategy'? Scheduled for Nov 13-20 week (6 points, 3 comments)
    4. How to add questions to the question bank? I can see there is 2% credit for that. (4 points, 5 comments)
    5. Scratch paper use (3 points, 6 comments)
    6. The big short movie link on you tube says the video is not available in your country. (3 points, 9 comments)
    7. Distance between training data date and future forecast date (2 points, 2 comments)
    8. News affecting stock market and machine learning algorithms (2 points, 4 comments)
    9. pandas import in pydev (2 points, 0 comments)
    10. Assess learner server error (1 point, 2 comments)
  15. 43 points, 23 submissions: chvbs2000
    1. Is the Strategy Learner finalized? (10 points, 3 comments)
    2. Test extra 15 test cases for marketsim (3 points, 12 comments)
    3. Confusion between the term computing "back-in time" and "going forward" (2 points, 1 comment)
    4. How to define "each transaction"? (2 points, 4 comments)
    5. How to filling the assignment into Jupyter Notebook? (2 points, 4 comments)
    6. IOError: File ../data/SPY.csv does not exist (2 points, 4 comments)
    7. Issue in Access to machines at Georgia Tech via MacOS terminal (2 points, 5 comments)
    8. Reading data from Jupyter Notebook (2 points, 3 comments)
    9. benchmark vs manual strategy vs best possible strategy (2 points, 2 comments)
    10. global name 'pd' is not defined (2 points, 4 comments)
  16. 43 points, 15 submissions: shuang379
    1. How to test my code on buffet machine? (10 points, 15 comments)
    2. Can we get the ppt for "Decision Trees"? (8 points, 2 comments)
    3. python question pool question (5 points, 6 comments)
    4. set up problems (3 points, 4 comments)
    5. Do I need another camera for scanning? (2 points, 9 comments)
    6. Is chapter 9 covered by the midterm? (2 points, 2 comments)
    7. Why grade_analysis.py could run even if I rm analysis.py? (2 points, 5 comments)
    8. python question pool No.48 (2 points, 6 comments)
    9. where could we find old versions of the rest projects? (2 points, 2 comments)
    10. where to put ml4t-libraries to install those libraries? (2 points, 1 comment)
  17. 42 points, 14 submissions: larrva
    1. is there a mistake in How-to-learn-a-decision-tree.pdf (7 points, 7 comments)
    2. maximum recursion depth problem (6 points, 10 comments)
    3. [Urgent]Unable to use proctortrack in China (4 points, 21 comments)
    4. manual_strategynumber of indicators to use (3 points, 10 comments)
    5. Assignment 2: Got 63 points. (3 points, 3 comments)
    6. Software installation workshop (3 points, 7 comments)
    7. question regarding functools32 version (3 points, 3 comments)
    8. workshop on Aug 31 (3 points, 8 comments)
    9. Mount remote server to local machine (2 points, 2 comments)
    10. any suggestion on objective function (2 points, 3 comments)
  18. 41 points, 8 submissions: Ran__Ran
    1. Any resource will be available for final exam? (19 points, 6 comments)
    2. Need clarification on size of X, Y in defeat_learners (7 points, 10 comments)
    3. Get the same date format as in example chart (4 points, 3 comments)
    4. Cannot log in GitHub Desktop using GT account? (3 points, 3 comments)
    5. Do we have notes or ppt for Time Series Data? (3 points, 5 comments)
    6. Can we know the commission & market impact for short example? (2 points, 7 comments)
    7. Course schedule export issue (2 points, 15 comments)
    8. Buying/seeking beta v.s. buying/seeking alpha (1 point, 6 comments)
  19. 38 points, 4 submissions: ProudRamblinWreck
    1. Exam 2 Study topics (21 points, 5 comments)
    2. Reddit participation as part of grade? (13 points, 32 comments)
    3. Will birds chirping in the background flag me on Proctortrack? (3 points, 5 comments)
    4. Midterm Study Guide question pools (1 point, 2 comments)
  20. 37 points, 6 submissions: gatechben
    1. Submission page for strategy learner? (14 points, 10 comments)
    2. PSA: The grading script for strategy_learner changed on the 26th (10 points, 9 comments)
    3. Where is util.py supposed to be located? (8 points, 8 comments)
    4. PSA:. The default dates in the assignment 1 template are not the same as the examples on the assignment page. (2 points, 1 comment)
    5. Schedule: Discussion of upcoming trading projects? (2 points, 3 comments)
    6. [defeat_learners] More than one column for X? (1 point, 1 comment)
  21. 37 points, 3 submissions: jgeiger
    1. Please send/announce when changes are made to the project code (23 points, 7 comments)
    2. The Big Short on Netflix for OMSCS students (week of 10/16) (11 points, 6 comments)
    3. Typo(?) for Assess_portfolio wiki page (3 points, 2 comments)
  22. 35 points, 10 submissions: ltian35
    1. selecting row using .ix (8 points, 9 comments)
    2. Will the following 2 topics be included in the final exam(online student)? (7 points, 4 comments)
    3. udacity quiz (7 points, 4 comments)
    4. pdf of lecture (3 points, 4 comments)
    5. print friendly version of the course schedule (3 points, 9 comments)
    6. about learner regression vs classificaiton (2 points, 2 comments)
    7. is there a simple way to verify the correctness of our decision tree (2 points, 4 comments)
    8. about Building an ML-based forex strategy (1 point, 2 comments)
    9. about technical analysis (1 point, 6 comments)
    10. final exam online time period (1 point, 2 comments)
  23. 33 points, 2 submissions: bhrolenok
    1. Assess learners template and grading script is now available in the public repository (24 points, 0 comments)
    2. Tutorial for software setup on Windows (9 points, 35 comments)
  24. 31 points, 4 submissions: johannes_92
    1. Deadline extension? (26 points, 40 comments)
    2. Pandas date indexing issues (2 points, 5 comments)
    3. Why do we subtract 1 from SMA calculation? (2 points, 3 comments)
    4. Unexpected number of calls to query, sum=20 (should be 20), max=20 (should be 1), min=20 (should be 1) -bash: syntax error near unexpected token `(' (1 point, 3 comments)
  25. 30 points, 5 submissions: log_base_pi
    1. The Massive Hedge Fund Betting on AI [Article] (9 points, 1 comment)
    2. Useful Python tips and tricks (8 points, 10 comments)
    3. Video of overview of remaining projects with Tucker Balch (7 points, 1 comment)
    4. Will any material from the lecture by Goldman Sachs be covered on the exam? (5 points, 1 comment)
    5. What will the 2nd half of the course be like? (1 point, 8 comments)
  26. 30 points, 4 submissions: acschwabe
    1. Assignment and Exam Calendar (ICS File) (17 points, 6 comments)
    2. Please OMG give us any options for extra credit (8 points, 12 comments)
    3. Strategy learner question (3 points, 1 comment)
    4. Proctortrack: Do we need to schedule our test time? (2 points, 10 comments)
  27. 29 points, 9 submissions: _ant0n_
    1. Next assignment? (9 points, 6 comments)
    2. Proctortrack Onboarding test? (6 points, 11 comments)
    3. Manual strategy: Allowable positions (3 points, 7 comments)
    4. Anyone watched Black Scholes documentary? (2 points, 16 comments)
    5. Buffet machines hardware (2 points, 6 comments)
    6. Defeat learners: clarification (2 points, 4 comments)
    7. Is 'optimize_something' on the way to class GitHub repo? (2 points, 6 comments)
    8. assess_portfolio(... gen_plot=True) (2 points, 8 comments)
    9. remote job != remote + international? (1 point, 15 comments)
  28. 26 points, 10 submissions: umersaalis
    1. comments.txt (7 points, 6 comments)
    2. Assignment 2: report.pdf (6 points, 30 comments)
    3. Assignment 2: report.pdf sharing & plagiarism (3 points, 12 comments)
    4. Max Recursion Limit (3 points, 10 comments)
    5. Parametric vs Non-Parametric Model (3 points, 13 comments)
    6. Bag Learner Training (1 point, 2 comments)
    7. Decision Tree Issue: (1 point, 2 comments)
    8. Error in Running DTLearner and RTLearner (1 point, 12 comments)
    9. My Results for the four learners. Please check if you guys are getting values somewhat near to these. Exact match may not be there due to randomization. (1 point, 4 comments)
    10. Can we add the assignments and solutions to our public github profile? (0 points, 7 comments)
  29. 26 points, 6 submissions: abiele
    1. Recommended Reading? (13 points, 1 comment)
    2. Number of Indicators Used by Actual Trading Systems (7 points, 6 comments)
    3. Software Install Instructions From TA's Video Not Working (2 points, 2 comments)
    4. Suggest that TA/Instructor Contact Info Should be Added to the Syllabus (2 points, 2 comments)
    5. ML4T Software Setup (1 point, 3 comments)
    6. Where can I find the grading folder? (1 point, 4 comments)
  30. 26 points, 6 submissions: tomatonight
    1. Do we have all the information needed to finish the last project Strategy learner? (15 points, 3 comments)
    2. Does anyone interested in cryptocurrency trading/investing/others? (3 points, 6 comments)
    3. length of portfolio daily return (3 points, 2 comments)
    4. Did Michael Burry, Jamie&Charlie enter the short position too early? (2 points, 4 comments)
    5. where to check participation score (2 points, 1 comment)
    6. Where to collect the midterm exam? (forgot to take it last week) (1 point, 3 comments)
  31. 26 points, 3 submissions: hilo260
    1. Is there a template for optimize_something on GitHub? (14 points, 3 comments)
    2. Marketism project? (8 points, 6 comments)
    3. "Do not change the API" (4 points, 7 comments)
  32. 26 points, 3 submissions: niufen
    1. Windows Server Setup Guide (23 points, 16 comments)
    2. Strategy Learner Adding UserID as Comment (2 points, 2 comments)
    3. Connect to server via Python Error (1 point, 6 comments)
  33. 26 points, 3 submissions: whoyoung99
    1. How much time you spend on Assess Learner? (13 points, 47 comments)
    2. Git clone repository without fork (8 points, 2 comments)
    3. Just for fun (5 points, 1 comment)
  34. 25 points, 8 submissions: SharjeelHanif
    1. When can we discuss defeat learners methods? (10 points, 1 comment)
    2. Are the buffet servers really down? (3 points, 2 comments)
    3. Are the midterm results in proctortrack gone? (3 points, 3 comments)
    4. Will these finance topics be covered on the final? (3 points, 9 comments)
    5. Anyone get set up with Proctortrack? (2 points, 10 comments)
    6. Incentives Quiz Discussion (2-01, Lesson 11.8) (2 points, 3 comments)
    7. Anyone from Houston, TX (1 point, 1 comment)
    8. How can I trace my error back to a line of code? (assess learners) (1 point, 3 comments)
  35. 25 points, 5 submissions: jlamberts3
    1. Conda vs VirtualEnv (7 points, 8 comments)
    2. Cool Portfolio Backtesting Tool (6 points, 6 comments)
    3. Warren Buffett wins $1M bet made a decade ago that the S&P 500 stock index would outperform hedge funds (6 points, 12 comments)
    4. Windows Ubuntu Subsystem Putty Alternative (4 points, 0 comments)
    5. Algorithmic Trading Of Digital Assets (2 points, 0 comments)
  36. 25 points, 4 submissions: suman_paul
    1. Grade statistics (9 points, 3 comments)
    2. Machine Learning book by Mitchell (6 points, 11 comments)
    3. Thank You (6 points, 6 comments)
    4. Assignment1 ready to be cloned? (4 points, 4 comments)
  37. 25 points, 3 submissions: Spareo
    1. Submit Assignments Function (OS X/Linux) (15 points, 6 comments)
    2. Quantsoftware Site down? (8 points, 38 comments)
    3. ML4T_2017Spring folder on Buffet server?? (2 points, 5 comments)
  38. 24 points, 14 submissions: nelsongcg
    1. Is it realistic for us to try to build our own trading bot and profit? (6 points, 21 comments)
    2. Is the risk free rate zero for any country? (3 points, 7 comments)
    3. Models and black swans - discussion (3 points, 0 comments)
    4. Normal distribution assumption for options pricing (2 points, 3 comments)
    5. Technical analysis for cryptocurrency market? (2 points, 4 comments)
    6. A counter argument to models by Nassim Taleb (1 point, 0 comments)
    7. Are we demandas to use the sample for part 1? (1 point, 1 comment)
    8. Benchmark for "trusting" your trading algorithm (1 point, 5 comments)
    9. Don't these two statements on the project description contradict each other? (1 point, 2 comments)
    10. Forgot my TA (1 point, 6 comments)
  39. 24 points, 11 submissions: nurobezede
    1. Best way to obtain survivor bias free stock data (8 points, 1 comment)
    2. Please confirm Midterm is from October 13-16 online with proctortrack. (5 points, 2 comments)
    3. Are these DTlearner Corr values good? (2 points, 6 comments)
    4. Testing gen_data.py (2 points, 3 comments)
    5. BagLearner of Baglearners says 'Object is not callable' (1 point, 8 comments)
    6. DTlearner training RMSE none zero but almost there (1 point, 2 comments)
    7. How to submit analysis using git and confirm it? (1 point, 2 comments)
    8. Passing kwargs to learners in a BagLearner (1 point, 5 comments)
    9. Sampling for bagging tree (1 point, 8 comments)
    10. code failing the 18th test with grade_learners.py (1 point, 6 comments)
  40. 24 points, 4 submissions: AeroZach
    1. questions about how to build a machine learning system that's going to work well in a real market (12 points, 6 comments)
    2. Survivor Bias Free Data (7 points, 5 comments)
    3. Genetic Algorithms for Feature selection (3 points, 5 comments)
    4. How far back can you train? (2 points, 2 comments)
  41. 23 points, 9 submissions: vsrinath6
    1. Participation check #3 - Haven't seen it yet (5 points, 5 comments)
    2. What are the tasks for this week? (5 points, 12 comments)
    3. No projects until after the mid-term? (4 points, 5 comments)
    4. Format / Syllabus for the exams (2 points, 3 comments)
    5. Has there been a Participation check #4? (2 points, 8 comments)
    6. Project 3 not visible on T-Square (2 points, 3 comments)
    7. Assess learners - do we need to check is method implemented for BagLearner? (1 point, 4 comments)
    8. Correct number of days reported in the dataframe (should be the number of trading days between the start date and end date, inclusive). (1 point, 0 comments)
    9. RuntimeError: Invalid DISPLAY variable (1 point, 2 comments)
  42. 23 points, 8 submissions: nick_algorithm
    1. Help with getting Average Daily Return Right (6 points, 7 comments)
    2. Hint for args argument in scipy minimize (5 points, 2 comments)
    3. How do you make money off of highly volatile (high SDDR) stocks? (4 points, 5 comments)
    4. Can We Use Code Obtained from Class To Make Money without Fear of Being Sued (3 points, 6 comments)
    5. Is the Std for Bollinger Bands calculated over the same timespan of the Moving Average? (2 points, 2 comments)
    6. Can't run grade_learners.py but I'm not doing anything different from the last assignment (?) (1 point, 5 comments)
    7. How to determine value at terminal node of tree? (1 point, 1 comment)
    8. Is there a way to get Reddit announcements piped to email (or have a subsequent T-Square announcement published simultaneously) (1 point, 2 comments)
  43. 23 points, 1 submission: gong6
    1. Is manual strategy ready? (23 points, 6 comments)
  44. 21 points, 6 submissions: amchang87
    1. Reason for public reddit? (6 points, 4 comments)
    2. Manual Strategy - 21 day holding Period (4 points, 12 comments)
    3. Sharpe Ratio (4 points, 6 comments)
    4. Manual Strategy - No Position? (3 points, 3 comments)
    5. ML / Manual Trader Performance (2 points, 0 comments)
    6. T-Square Submission Missing? (2 points, 3 comments)
  45. 21 points, 6 submissions: fall2017_ml4t_cs_god
    1. PSA: When typing in code, please use 'formatting help' to see how to make the code read cleaner. (8 points, 2 comments)
    2. Why do Bollinger Bands use 2 standard deviations? (5 points, 20 comments)
    3. How do I log into the [email protected]? (3 points, 1 comment)
    4. Is midterm 2 cumulative? (2 points, 3 comments)
    5. Where can we learn about options? (2 points, 2 comments)
    6. How do you calculate the analysis statistics for bps and manual strategy? (1 point, 1 comment)
  46. 21 points, 5 submissions: Jmitchell83
    1. Manual Strategy Grades (12 points, 9 comments)
    2. two-factor (3 points, 6 comments)
    3. Free to use volume? (2 points, 1 comment)
    4. Is MC1-Project-1 different than assess_portfolio? (2 points, 2 comments)
    5. Online Participation Checks (2 points, 4 comments)
  47. 21 points, 5 submissions: Sergei_B
    1. Do we need to worry about missing data for Asset Portfolio? (14 points, 13 comments)
    2. How do you get data from yahoo in panda? the sample old code is below: (2 points, 3 comments)
    3. How to fix import pandas as pd ImportError: No module named pandas? (2 points, 4 comments)
    4. Python Practice exam Question 48 (2 points, 2 comments)
    5. Mac: "virtualenv : command not found" (1 point, 2 comments)
  48. 21 points, 3 submissions: mharrow3
    1. First time reddit user .. (17 points, 37 comments)
    2. Course errors/types (2 points, 2 comments)
    3. Install course software on macOS using Vagrant .. (2 points, 0 comments)
  49. 20 points, 9 submissions: iceguyvn
    1. Manual strategy implementation for future projects (4 points, 15 comments)
    2. Help with correlation calculation (3 points, 15 comments)
    3. Help! maximum recursion depth exceeded (3 points, 10 comments)
    4. Help: how to index by date? (2 points, 4 comments)
    5. How to attach a 1D array to a 2D array? (2 points, 2 comments)
    6. How to set a single cell in a 2D DataFrame? (2 points, 4 comments)
    7. Next assignment after marketsim? (2 points, 4 comments)
    8. Pythonic way to detect the first row? (1 point, 6 comments)
    9. Questions regarding seed (1 point, 1 comment)
  50. 20 points, 3 submissions: JetsonDavis
    1. Push back assignment 3? (10 points, 14 comments)
    2. Final project (9 points, 3 comments)
    3. Numpy versions (1 point, 2 comments)
  51. 20 points, 2 submissions: pharmerino
    1. assess_portfolio test cases (16 points, 88 comments)
    2. ML4T Assignments (4 points, 6 comments)

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  29. W1redgh0st (97 points, 70 comments)
  30. ybai67 (96 points, 41 comments)
  31. JuanCarlosKuriPinto (95 points, 54 comments)
  32. acschwabe (93 points, 58 comments)
  33. pharmerino (92 points, 47 comments)
  34. jgeiger (91 points, 28 comments)
  35. Zapurza (88 points, 70 comments)
  36. jyoms (87 points, 55 comments)
  37. omscs_zenan (87 points, 44 comments)
  38. nurobezede (85 points, 64 comments)
  39. BelaZhu (83 points, 50 comments)
  40. jason_gt (82 points, 36 comments)
  41. shuang379 (81 points, 64 comments)
  42. ggatech (81 points, 51 comments)
  43. nitinkodial_gatech (78 points, 59 comments)
  44. harshsikka123 (77 points, 55 comments)
  45. bkeenan7 (76 points, 49 comments)
  46. moxyll (76 points, 32 comments)
  47. nelsongcg (75 points, 53 comments)
  48. nickzelei (75 points, 41 comments)
  49. hunter2omscs (74 points, 29 comments)
  50. pointblank41 (73 points, 36 comments)
  51. zheweisun (66 points, 48 comments)
  52. bs_123 (66 points, 36 comments)
  53. storytimeuva (66 points, 36 comments)
  54. sva6 (66 points, 31 comments)
  55. bhrolenok (66 points, 27 comments)
  56. lingkaizuo (63 points, 46 comments)
  57. Marvel_this (62 points, 36 comments)
  58. agifft3_omscs (62 points, 35 comments)
  59. ssung40 (61 points, 47 comments)
  60. amchang87 (61 points, 32 comments)
  61. joshuak_gatech (61 points, 30 comments)
  62. fall2017_ml4t_cs_god (60 points, 50 comments)
  63. ccrouch8 (60 points, 45 comments)
  64. nick_algorithm (60 points, 29 comments)
  65. JetsonDavis (59 points, 35 comments)
  66. yjacket103 (58 points, 36 comments)
  67. hilo260 (58 points, 29 comments)
  68. coolwhip1234 (58 points, 15 comments)
  69. chvbs2000 (57 points, 49 comments)
  70. suman_paul (57 points, 29 comments)
  71. masterm (57 points, 23 comments)
  72. RolfKwakkelaar (55 points, 32 comments)
  73. rpb3 (55 points, 23 comments)
  74. venkatesh8 (54 points, 30 comments)
  75. omscs_avik (53 points, 37 comments)
  76. bman8810 (52 points, 31 comments)
  77. snladak (51 points, 31 comments)
  78. dfihn3 (50 points, 43 comments)
  79. mlcrypto (50 points, 32 comments)
  80. omscs-student (49 points, 26 comments)
  81. NellVega (48 points, 32 comments)
  82. booglespace (48 points, 23 comments)
  83. ccortner3 (48 points, 23 comments)
  84. caa5042 (47 points, 34 comments)
  85. gcalma3 (47 points, 25 comments)
  86. krushnatmore (44 points, 32 comments)
  87. sn_48 (43 points, 22 comments)
  88. thenewprofessional (43 points, 16 comments)
  89. urider (42 points, 33 comments)
  90. gatech-raleighite (42 points, 30 comments)
  91. chrisong2017 (41 points, 26 comments)
  92. ProudRamblinWreck (41 points, 24 comments)
  93. kramey8 (41 points, 24 comments)
  94. coderafk (40 points, 28 comments)
  95. niufen (40 points, 23 comments)
  96. tholladay3 (40 points, 23 comments)
  97. SaberCrunch (40 points, 22 comments)
  98. gnr11 (40 points, 21 comments)
  99. nadav3 (40 points, 18 comments)
  100. gt7431a (40 points, 16 comments)

Top Submissions

  1. [Project Questions] Unit Tests for assess_portfolio assignment by reyallan (58 points, 52 comments)
  2. [Project Questions] Unit Tests for optimize_something assignment by agifft3_omscs (53 points, 94 comments)
  3. Proper git workflow by jan-laszlo (43 points, 19 comments)
  4. Exam 2 Information by yokh_cs7646 (39 points, 40 comments)
  5. A little more on Pandas indexing/slicing ([] vs ix vs iloc vs loc) and numpy shapes by davebyrd (37 points, 10 comments)
  6. Project 1 Megathread (assess_portfolio) by davebyrd (34 points, 466 comments)
  7. defeat_learner test case by swamijay (34 points, 38 comments)
  8. Project 2 Megathread (optimize_something) by tuckerbalch (33 points, 475 comments)
  9. project 3 megathread (assess_learners) by tuckerbalch (27 points, 1130 comments)
  10. Deadline extension? by johannes_92 (26 points, 40 comments)

Top Comments

  1. 34 points: jgeiger's comment in QLearning Robot project megathread
  2. 31 points: coolwhip1234's comment in QLearning Robot project megathread
  3. 30 points: tuckerbalch's comment in Why Professor is usually late for class?
  4. 23 points: davebyrd's comment in Deadline extension?
  5. 20 points: jason_gt's comment in What would be a good quiz question regarding The Big Short?
  6. 19 points: yokh_cs7646's comment in For online students: Participation check #2
  7. 17 points: i__want__piazza's comment in project 3 megathread (assess_learners)
  8. 17 points: nathakhanh2's comment in Project 2 Megathread (optimize_something)
  9. 17 points: pharmerino's comment in Midterm study Megathread
  10. 17 points: tuckerbalch's comment in Midterm grades posted to T-Square
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FOREX - tutorial basico - YouTube

Fully handmade DIY vintage sports car Materials used: 1. Forex sheet 2. Feviquik 3. Fevicol Dimensions: Length : 29 cm Width : 9.8 cm (tyre to tyre) Wheel Ba... Sheet size 8'x4' ,8'x2' sheet price -approx 2500 to 5000rs Charcoal sheet is you can say a type of laminate but it is not exactly a laminate. It is a PVC bas... Video introduttivo al FOREX, cos'è, dove si trova e come lo si lavora. Se vi è piaciuto il video lasciate un like e inscrivetevi al canale per seguire i miei... ENGLISH: eurolaser and 3A Composites - specialists in the advertising industry Visual communications In collaboration with our partner 3A Composites, a world... In this video, you'll be guided step by step through the process of fitting Fortex external cladding from Freefoam, that is available in several colour optio... This move will show you how to prepare and paint PVC board. PVC Board can be known under many trade marked names such as Foamex, Forex, Palight and there are... Foamex PVC is one of the most simple plastics to work with, as unlike many materials it can be easily cut with a knife and safely drilled without splitting. ... Preorder my terrain book here - Like it? Love it? Support it! - http://www.patreon.com/TheTerrainTutor Do you build terrain? First time builder? Pro? Checkou... In this video we put Foamex PVC Boards into the spotlight and take a look at what properties make them such an ideal signage material. Short for Polyvinyl Ch...

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