Discounted cumulative gain Puns

You can deduct up to 3k of losses which I want to maximize.

If I currently have 1k worth or realized gains, can I write off 4K of losses?

Do the gains offset losses? Or am I limited to 3k regardless of gains?

Right now Bitcoin price is $43,356, which is around 4 times of closing Sep-2020 price of $10,775.

Someone who has bought a whole Bitcoin in Sep-2016 for $600.83 and still holding now, is sitting on a 7,116% return.

Someone who bought a whole Bitcoin in Sep-2013 and still holding now, is sitting on 31,377% return.

Don’t need to go back that far, let’s say someone who put the whole stimulus cheque last year into Bitcoin.

24 Apr 2020: Bitcoin price was $7,680. Individual taxpayer got $1,200, which is 0.15625 Bitcoin. The amount is now worth $6,774.

Glad they are doing things to turn this around within a month of release. Thanks.

When I go to Funds Overview on Gate.io to view my cumulative gains it shows up as -3.7 million dollars. I have never traded on margin and my total volume on Gate is likely close to 1000 dollars. How is this possible and should I be concerned.

Just checked my assets, and it says my cumulative gains on USD stable coin is -3,281.53.

What does this mean?

I've never played with margin.

https://preview.redd.it/9qfmqyo2ex281.jpg?width=1300&format=pjpg&auto=webp&s=d2e0d95e6678bbd888c17de114fd007f0e6c74e6

CEX-LP token hodlers will also gain other special discounts and privileges such as being able to purchase NFT'S listed on the CEX NFT shop at a discounted rate. $CEX #catenax #catenaxcrypto #Binance #ethereum #Cryptocurrency #altcoin #defi #CryptocurrencyNews #cryptotwitter #newcryptocurrency https://catenax.org/

If my total market gain is 30% and I've had the account for 5 years, does that mean I'm getting on average 30% gain each year or 30% over 5 years (6%/year)

So, say I play basketball and my free throw numbers got better by 10%, my 3 pointers by 10% and my rebounds by 10% - is there something wrong with saying overall cumulative improvement is 30%? Kind of like they do when people go on a diet - total inches lost.

Is there anyone who can explain that why my yearly(01/01 to 12/31) cumulative P/L(realized) does not match with my total gain on the 1099 form that I received?

Hey Guys

I'm less than a year old to options trading and just 2 months old to wheel. I learnt it here and started to use it roughly 6 weeks ago. I have roughly 32k in my account and I'm holding 100 stocks of NIO and 100 stocks of AMD. Rest of the capital is on CSP. I understand the concept of not deploying all my capital in trades but I feel with CSP that capital is just locked and not really in use. If things go really south then I can buy back my CSP for loss and I'm ready for that level of risk. I don't sell CSP on very fragile stock that will just disappear in a day so I think I'm good deploying all remaining cash in CSP.

I usually rollover till it does not makes sense. Like you will see I'm not rolling over my 38 NIO 11/27 CC as it just does not make sense but I did roll over my AMD CC to feb as I want to hold that stock. Also, I usually sell 7 DTE or 14 DTE and 20/30 delta CSP unless it makes sense to go aggressive because stock is bound to go up or if I want to get assigned (like I sold a very close to ITM CSP for NIO today). All my positions except AMD CC for feb are expiring on 27th.

Here are the tickers that I have traded till now with total trades per ticker (includes round-trip STO/BTC trades):

AAPL - 20, AMD - 70, FSLY - 18, NIO - 50, OSTK - 3 (tried once and then gave up), TNA - 4 (tried once and then gave up), PLTR - 4 (started PLTR today itself).

I know I'm doing several things wrong. Please give suggestions. Bash me but be kind :)

Note (minor detail that you can ignore) - I use AMD1, AAPL1, NIO1 to identify that it is my first time using stock for CC for that ticker. As my AAPL CC was assigned so next time if I have AAPL stock then I will use AAPL2. Just something that makes it easy for me to identify my CC for a ticker.

EDIT - I say 6 weeks as 1st week wasn't planned (I was experimenting) and week 8th just started today.

https://preview.redd.it/ocd7mjkcz3161.png?width=1746&format=png&auto=webp&s=d6619c1e1c1f2c48736fac219455760f618b868b

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I recently read a lot of code regarding policy gradients, in particular, PPO and TRPO. To reduce variance the common approach is to train a network function as a baseline (value function, actor-critic style). Usually, this is done by training the value network on the discounted cumulative reward/return. Reference in tensorflow agents, for instance: https://github.com/tensorflow/agents/blob/master/agents/algorithms/ppo/ppo.py#L437-L446

The thing I find a little odd is that the value network usually does not know the current timestep. It is only given the current state as input. But using discounted cumulative return the value is much higher in an early timestep than in a later timestep. So why would you want to train the value network on the cumulative discounted return? Imagine having a state occurring at the start of an episode and close to the end, the cumulative discounted reward would be very different. Am I missing something here?

Thanks, Magnus

>These valuable goodies will be available for purchase with your personal cumulative discount, and the size of your reward will depend on your progress during the Season.

The article doesn't discuss the "personal cumulative discount" more - how much of it do you get and for what accomplishments?

Among the largest borrowers were JPMorgan Chase, Goldman Sachs and Citigroup, three of the Wall Street banks that were at the center of the subprime and derivatives crisis in 2008 that brought down the U.S. economy. That’s blockbuster news. But as of 7 a.m. this morning, not one major business media outlet has reported the details of the Fed’s big reveal.

JPMorgan Chase and Citigroup’s Citibank are among the largest deposit-taking, federally-insured banks in the U.S. Why they needed to borrow from the Fed on an emergency basis in the fall of 2019.

Never before seen a total news blackout of a financial news story of this magnitude in 35 years of monitoring Wall Street and the Fed.

Edit: you can reset

Hey, I am answering a past paper question and it got me wondering what the actual reason for using discounted cumulative reward is?

The richest Americans like buffet and gates and bezos typically have relatively modest incomes and much of their wealth comes from stock that they rarely sell and instead take loans against in effect dodging most if not all of the above mentioned taxes.

To calculate the networth you take your assets (houses, cars, stocks, bonds, gold, cash, bitcoin etc) then subtract your debts (loans, credit card debt etc) if your net is in excess of $2M you pay the tax man X% of the excess.

So if you have $4M. You pay X% of $2M

Stats https://dqydj.com/net-worth-percentile-calculator-united-states/ https://www.reuters.com/article/us-usa-economy-wealth/u-s-household-net-worth-100-trillion-in-first-quarter-2018-idUSKCN1J3269 https://www.statista.com/statistics/203961/wealth-distribution-for-the-us/

The top 1% is roughly the highest wealth 1,259,817 households. (This data represents around 125,981,700 households.)

Net worth of over $10,374,030.10 would put a household in the top 1% with the 2016 data.

A $2,000,000.00 net worth was percentile 93.5% in 2016.

US Net-worth is 100 Trillion

The top 10% own 77% of the total net worth

No effect on the bottom 96%

https://www.cnbc.com/2017/04/07/how-much-the-average-family-has-saved-for-retirement-at-every-age.html

https://en.wikipedia.org/wiki/Wealth_inequality_in_the_United_States#/media/File:Average_and_median_household_wealth_by_age_group_in_the_United_States.png

https://www.huffpost.com/entry/median-home-price-2014_n_4957604

The highest average retirement savings is $1.18M

The Median Highest Retirement is $180k

The median home price is $189k

Now lets say they have a 2019 Jaguar F-TYPE in the driveway thats $61k

The average non-wealthy american is rarely going to get to the $2M mark so they are not encouraged to recklessly spend. If they do get to $2M networth well that is a problem I wish upon every household in America.

If this causes America's top 6% to spend more money then the bottom 94% will directly benefit. And if that causes Mr Monopoly to try to ride the $2M mark instead of +$2M then we have a more equitable society.

They must be regular-sized shoes, and they must be on your feet.

Super late to the party, I know, but nobody has posted this yet anyway. It irks me that the class buff patch posts the cumulative points acquired from leveling and T-ing a hero (50 at L90 T5) but not how much % increase you get or how much point you can eventually spend. So here's the table containing that information. Note that the numbers are the same for both ATK and HP buffs so I showed only one.

That's almost 1 T6 line worth of increase at 5 heroes maxed, just slightly over 1.5x worth of an ancient rune of buff when fully leveled (compare to the buff you get from guild), and 20 MAXED HEROES IN ONE CLASS required to do so. Multiply by the number of buffs we have (2 now, maybe they will add DEF and CDMG later like they did to guild buffs), although aiming for the long run isn't news for Ve$pa. Buffs are also more efficient at lower levels, but you can argue that 2% ATK is still more useful than 4% HP for your DPS.

Some unrelated questions but still on the topic of CB for discussions:

• How do you spend your points for each class? All HP for Knights and all ATK for everyone else? Is there any class in which you choose to go hybrid?

• Do you see yourself aiming to build more heroes of the same class than you are before?

The troubled Chinese vendor still dominated the market during Q2 with $31.5 billion in annualized revenues. Nokia, Ericsson, and ZTE trailed with $18.5 billion, $17 billion, and $10.2 billion, in annualized revenues, respectively.

https://telecom.economictimes.indiatimes.com/news/huawei-telco-infrastructure-dips-1-48-billion-in-1h21-as-nokia-ericsson-cumulatively-gain-2-47-billion-mtn-consulting/86751216

Will Q3 earnings (Projected Oct. 28th) be the final catalyst to move Nokia to double digits?

I know there are several threads with the requirements for all the players, but for folks like me, who are more / also interested in optimising the amount of SB / XP / $ we get, this might be handy.

EDIT, NEW AND COMPLETE LIST: https://docs.google.com/spreadsheets/d/1BuUtcOG6mco1twkU7Ny26hxFssPGbqJ7wyPavNgzJ_4/edit#gid=2017214341

The list is in ascending order of the required points per step (skillgame or player), then gives the cumulative rewards (SB / XP / $). Reserve players are indicated by * (1 * = 1 reserve player).

Leagues are given, when it says ALL it is a step in the central path (they are identical for all leagues).

For steps / skillgames that are on a specific player's path, his name is given as ROUTE TO.

Considering the final step (to get a player) doesn't yield any SB/XP/$, but often requires far more points then the steps before, I've added the number of points this final step requires (per player).

The skillgame (step) number is given, so you can see how certain branches compare between leagues.

Notice how, as I pointed out in a different post, the reward per point is always SB20 / XP10k / $50k, except in Bundesliga steps 16a and 16b (Hummels), where the reward is XP 30k per point.

TITLE EDIT: Top 20 P5 Teams

Those top 20 teams:

• Alabama, Ohio State, Notre Dame, Michigan, Oklahoma, Texas, USC, Penn State, Nebraska, Tennessee, Florida State, Georgia, LSU, Miami, Florida, Auburn, Clemson, Washington, Arizona State, and Texas A&M

...will combine for a record of 158-100 and a winning percentage of 61.24%. The last year that was worse than 2021 was 1965 when these 20 teams went a combined 120-77 for a percentage of 58.54%. For juxtaposition, the average cumulative win percentage of these 20 teams over the last 20 years has been 68.27%. (Yes, I acknowledge that going back at least 20 years but especially 56 years means these 20 teams weren't always the top 20, but that requires a dynamic list that I'm not capable of, so be nice).

If you're interested, the reverse of this - the best these 20 teams have done in the same year since 1900 was 1920 with a combined percentage of 74.48%. The best year after that (and best by any reasonable definition of "modern era") was 1993 with a combined percentage of 73.95%.

Title-edit-follow-up: The G5 teams that would crack the top 20 are: Boise State at #2 (with ~400 fewer games played than their neighboring teams), Coastal Carolina at #15 (with a huge asterisk with only 228 games played), Appalachian State at #16 (ok, at least you're over 1000 games played), and Georgia Southern as the new #20 (again, back down to only 665 games played)

Hey guys,

In hw4 we train the value network on the cumulative return/reward. The thing I find a little odd is that the value network usually does not know the current timestep. It is only given the current state as input. But using discounted cumulative return the value is much higher in an early timestep than in a later timestep. So why would you want to train the value network on the cumulative discounted return? Imagine having a state occurring at the start of an episode and close to the end, the cumulative discounted reward would be very different. Am I missing something here?

Thanks, Magnus