📩 Investment Operations Specialist (Hybrid-Tampa,FL/Newark,NJ) Salary: 💰$1,600 - $70,000. 📍Remote job in 🇺🇸 United States
2024.11.28 17:33 rusakovic 📩 Investment Operations Specialist (Hybrid-Tampa,FL/Newark,NJ) Salary: 💰$1,600 - $70,000. 📍Remote job in 🇺🇸 United States
 | submitted by rusakovic to likeremote [link] [comments] |
2024.11.28 17:33 AJ_Ad_3136 Happy Thanksgiving
 | submitted by AJ_Ad_3136 to NuxTaku [link] [comments] |
2024.11.28 17:33 CptMunta Consolized RG35XXSP Would this work or? 🔥
 | I currently have the SP in my arcade machine and want to make a safe No battery version. Would this work? submitted by CptMunta to SBCGaming [link] [comments] |
2024.11.28 17:33 Skrenemy What is the best Elementalism spell type? Wave or Blast spells? | Experiment
Per second/Wave vs Per cast/Blast spells Both on rank 3, base mana cost (without factoring in Elementalism skill that reduces mana costs of spells).
Which has higher DPS? (more like Damage per 5 seconds, too lazy to do the math to calculate real DPS because of startup time) Does a Wave spell have better mana efficiency when dealing the same amount of damage as a Blast spell?
Let's use the values in the Enderal SureAI Wiki in our calculations.
Damage Per 5 Seconds:
Blazing Spark III does 41 damage. Grounding III does 17 damage per second.
Given that a Blast spell like Blazing Spark has a startup time of ~1.2 seconds, and a Wave spell like Grounding has a startup time of ~0.6 seconds:
Blazing Spark will deal 164 damage in 5 seconds (can only be cast ~4 times within 5 seconds so 41*4). While Grounding will deal 74.8 damage in 5 seconds (17*4.4 | 4.4 = 5 secs - 0.6 startup).
Mana Efficiency:
Blazing Spark III has a base mana cost of 46. To deal 164 damage, you will need to spend 184 mana (46*4). Grounding III has a base mana cost of 26 per second. To deal ~164 damage, you will need to cast the spell for ~11 seconds (166.6 damage) which will cost you a total of 286 mana.
Conclusion: Blast spells have significantly higher damage per 5 seconds, higher mana efficiency, and lower time to kill. Math says you should always use blast spells unless you have dogshit aim that you can't hit a single shot. If you can hit your blast spells accurately, then there is absolutely no reason to use wave spells... unless you're roleplaying as Emperor Palpatine, Frozone, or a Dragon Ball character.
P.S. Please correct me if I did the math wrong. Thank you.
submitted by Skrenemy to enderal [link] [comments]
2024.11.28 17:33 giveahoot420 One of my M&Ms was naked
 | submitted by giveahoot420 to mildlyinteresting [link] [comments] |
2024.11.28 17:33 TRT_HD Seleção Brasileira feminina recebe carinho de torcedores após vitória em amistoso contra Austrália
 | submitted by TRT_HD to Canarinho [link] [comments] |
2024.11.28 17:33 jauggie420 NEED A WHITE PUMPKIN!!
PLEASE!
submitted by jauggie420 to Dodocodes [link] [comments]
2024.11.28 17:33 Violet_Caully7 There's more!
 | submitted by Violet_Caully7 to phantasystar [link] [comments] |
2024.11.28 17:33 MoreoFaRatThenhumman What could I improve on in my style
 | All of the pictures have been bust up, but I promise I do draw bodies I just don’t have any pictures of them 😭 submitted by MoreoFaRatThenhumman to arthelp [link] [comments] |
2024.11.28 17:33 saylessdomore5 Niggas trying to put they unknown ass group on in the sub acting like they really terrorizing shit 😭😭 tf is fys nobody in dekalb knows yall niggas
 | submitted by saylessdomore5 to Atlantology [link] [comments] |
2024.11.28 17:33 seyebird loach going :o
 | submitted by seyebird to fishgoingo [link] [comments] |
2024.11.28 17:33 Grandeurftw fixed launch schedule.
 | submitted by Grandeurftw to pathofexile [link] [comments] |
2024.11.28 17:33 Luxdivination Thanksgiving Day Special 12 Month Tarot Predictions are $5 Today only!
 | submitted by Luxdivination to PsychicServices [link] [comments] |
2024.11.28 17:33 ParisPleases Happy Thanksgiving to my obedient little chastity pets.
 | While most people are indulging today, you’re exactly where you belong—locked up, denied, and reminded of your place. Let this holiday be a stark reminder of how much control I have over you. You don’t get to feast; you get to serve, beg, and watch as others enjoy what’s out of your reach, just like everything else in life. submitted by ParisPleases to ParisPleases [link] [comments] |
2024.11.28 17:33 bigchungus420679 Dragon Human Warlock
This is my first post here and my first time being a DM so forgive any mistakes I make
So I had this idea for a character that would be a dragon that had turned into a human and is now stuck in that human form. But the they have no memory of them being a dragon and they would travel with the party unintentionally showing little hints that they are a dragon in disguise.
In my campaign I have a dragon cult situation on one of the two continents in my world and I was thinking on the other continent they find this dragon stuck in a human body. And to make it more interesting they could have the same name of the deity the cult is worshipping but spun a little different
And I was thinking the best class fit for this character would be a warlock that uses more draconic spells but I don't have much experience in dnd so there is probably a better fit.
But I would like some feedback on some ways to incorporate this or even other classes this character could take.
submitted by bigchungus420679 to DMAcademy [link] [comments]
2024.11.28 17:33 sunflowerbaths Abby’s podcast leave it in the dance floor
Does anyone know what happened to her podcast ? There hasn’t been an episode as of late and the last episode was November 5. It seems that she ran out of available guests or taking a break.
submitted by sunflowerbaths to dancemoms [link] [comments]
2024.11.28 17:33 rocksat12m Is it real
 | Bcoz he is in ECE Department taking PRP for Section A and B submitted by rocksat12m to BITMesra [link] [comments] |
2024.11.28 17:33 Acceptable-Taste-912 KG: "We just swept that whole Minnesota thing under the rug. You're supposed to trade Rudy Gobert, keep KAT, and go on. You didn't wanna pay the man, what are we doing?"
 | submitted by Acceptable-Taste-912 to timberwolves [link] [comments] |
2024.11.28 17:33 BaconReceptacle Does anyone know of an off-the-shelf drone that is capable of super bright illumination like some of these UFOs appear to be?
So many of UFO sightings are described as a small to sedan-sized orb of varying colors. Often times they are super bright so that they obscure the outline of the object itself. It may very well be that many of these UFO's are spherical objects but, are there drones available that, without custom modification, can light up all around with a bright white light or other colors? I'd like to know that as a baseline when considering the recent proliferation of orb sightings.
submitted by BaconReceptacle to UFOs [link] [comments]
2024.11.28 17:33 spdorsey Thanks, Adobe. It was a good run, but now I'm switching.
submitted by spdorsey to Affinity [link] [comments]
2024.11.28 17:33 atm2303 Mega Altaria 353368112002
submitted by atm2303 to PokemonGoRaids [link] [comments]
2024.11.28 17:33 SunnyBlueSkies36 Stars Trading!
 | I neeed stars for my vault! submitted by SunnyBlueSkies36 to MonopolyGoTrading [link] [comments] |
2024.11.28 17:33 SpamHamburger How to calibrate the battery?
Hello, so the laptop had driver issues on windows 10 which also affected its hardware components and other stuff to not work like effectively and efficiently. At the end I went back to windows 11 and found out my actual battery health and as much as I refuse to believe it, but hey I got no choice but to accept it. I would like to know how to calibrate the battery and I want to know the frequency of how many times I gotta do it. Please help me and thanks in advance.
submitted by SpamHamburger to ZephyrusG15 [link] [comments]
2024.11.28 17:33 SofexAlgorithms Short summary of our experience in creating robust and effective trading algorithms.
A quick guide to making robust and actually functional trading algorithms
Our experience with building Strategies and how they became actually profitable
As the title says, I want to share a bit of knowledge that I, and my team have gathered throughout the years and have managed to learn through mostly trial and error. Costly errors too. Many of these points most professionals know, however there are some that are quite innovative in my opinion.
There are a few things that really made a difference in the process of creating strategies.
Firstly and most importantly, we have all heard about it, but it is having the most data available. A good algorithm, when being built NEEDS to have as many market situations in its training data as possible. Choppy markets, uptrends, downtrends, fakeouts, manipulations, all of this is necessary for the strategy to learn the market conditions as much as possible and be prepared for trading on unknown data.
Secondly, of course, robustness tests. Your algorithm can perform amazingly on training data, but start losing immediately in real time, even if you have trained it on decades of data. These include monte-carlo simulations to see best and worst scenarios during the training period. These also include the fundamentally important out-of-sample tests. For those who aren’t familiar - this means that you should seperate data into training sets and testing sets. You should train your algorithm on some data, then perform a test on unknown to the optimisation process data. Many times people seperate it as 20% training / 20% unknown / 20% training etc. to build a data set that will show how your algorithm performs on unknown to it market movements. Out of sample tests are crucial and you can never trust a strategy that has not been through them. Walk-forward simulations are similar - you train your algorithm on X amount of data and simulate real-time price feeds and monitor how it performs. When you are doing robustness tests, we have found that a stable strategy performs around 90% similarly in terms of win rate and sortino ratio compared to training data. The higher the correlation between training performance and out of sample performance, the more trust you can allocate to this algorithm.
Now lets move onto some more niche details. Markets don’t behave the same when they are trending downward and when they are trading upwards. We have found that seperating parameters for optimization into two - for long and for short - independent of each other, has greatly improved performance and also stability. Logically it is obvious when you look at market movements. In our case, with cryptocurrencies, there is a clear difference between the duration and intensity of “dumps” and “pumps”. This is normal, since the psychology of traders is different during bearish and bullish periods. Yes, introducing double the amount of parameters into an algorithm, once for long, once for short, can carry the risk of overfitting since the better the optimizer, the better the values will be adjusted to fit training data. But if you apply the robustness tests mentioned above, you will find that performance is greatly increased by simply splitting trade logic between long and short. Same goes for indicators. Some indicators are great for uptrends but not for downtrends. Why have conditions for short positions that include indicators that are great for longs but suck at shorting, when you can use ones that perform better in the given context?
Moving on - while overfitting is the main worry when making an algorithm, underoptimization as a result of fear of overfitting is a big threat too. You need to find the right balance by using robustness tests. In the beginning, we had limited access to software to test our strategies out of sample and we found out that we were underoptimizing because we were scared of overfitting, while in reality we were just holding back the performance out of fear. Whats worse is we attributted the losses in live trading to what we thought was overfitting, while in reality we were handicapping the algorithm out of fear.
Finally, and this relates to trading in general too, we put in place very strict rules and guidelines on what indicators to use in combination with others and what their parameter range is. We went right to theory and capped the values for each indicator to be within the pre-defined limits. A simple example is MACD. Your optimizer might make a condition that includes MACD with a fast length of 200, slow length of 160 and signal length of 100. This may look amazing on backtesting and may work for a bit on live testing, but it is FUNDAMENTALLY wrong. You must know what each indicator does and how it calculates its values. Having a fast length bigger than the slow one is completely backwards, but the results may show otherwise. The optimization software doesn’t care about the indicator’s logic, only about the best combination of numbers for the formula. Parabolic SAR is another one - you can optimize values like 0.267; 0.001; 0.7899 or the sort and have great performance on backtesting. This, however, is completely wrong when you look into the indicator and it’s default values. To prevent overfitting and ensure a stable profitability over time, make sure that all parameters are within their theoretical limits and constraints, ideally very close to their default values.
Thank you for reading this long essay and I hope that atleast some of our experience will help you in the future. We have suffered greatly due to things like not following trading theory and leaving it all up to the mathematical model, which is ignorant of the principles of the indicators it is combining and optimizing. The machine only seeks the best possible results, and it’s your duty to link it logically to trading standards.
submitted by SofexAlgorithms to FuturesTrading [link] [comments]
2024.11.28 17:33 imabigfilly Charlotte motor speedway movie night
Does anyone know if you need to buy tickets to go to just the movie at Charlotte Motor Speedway?
submitted by imabigfilly to Charlotte [link] [comments]