Practical Statistics for Algo Traders - Robot Wealth
Cara belajar trading Binomo - diamon-crypto.club
ECON 1095 Quantitative Methods In ... - myassignmenthelp.com
Most Accurate Pivot Point Extra Indicator for MetaTrader 4 ...
Online trading platform for binary options on forex, stock ...
Looking for someone to collaborate with in exploring some of the fundamental questions in algo trading in relation to quantitative analysis and the Forex market specifically.
I got interested in both algo trading and Forex about the same time. I figured that if I was going to trade in the Forex market or any market there after, I was going to use algorithms to do the trading for me. I wanted to minimize the "human factor" from the trading equation. With the research I have done so far, it seems that human psychology and its volatile nature can skew ones ability to make efficient and logical trades consistently. I wanted to free myself from that burden and focus on other areas, specifically in creating a system that would allow me to generate algorithms that are profitable more often then not. Consistently generating strategies that are more profitable then not is no easy task. There are a lot of questions one must first answer (to a satisfactory degree) before venturing forward in to the unknown abyss, lest you waste lots of time and money mucking about in the wrong direction. These following questions are what I have been trying to answer because I believe the answers to them are vital in pointing me in the right direction when it comes to generating profitable strategies. Can quantitative analysis of the Forex market give an edge to a retail trader? Can a retail trader utilize said edge to make consistent profits, within the market? Are these profits enough to make a full time living on? But before we answer these questions, there are even more fundamental questions that need to be answered. To what degree if any is back-testing useful in generating successful algo strategies? Are the various validation testing procedures such as monte carlo validation, multi market analysis, OOS testing, etc... useful when trying to validate a strategy and its ability to survive and thrive in future unseen markets? What are the various parameters that are most successful? Example... 10% OOS, 20% OOS, 50%......? What indicators if any are most successful in helping generate profitable strategies? What data horizons are best suited to generate most successful strategies? What acceptance criteria correlate with future performance of a strategy? Win/loss ratios, max draw-down, max consecutive losses, R2, Sharpe.....? What constitutes a successful strategy? Low decay period? High stability? Shows success immediately once live? What is its half life? At what point do you cut it loose and say the strategy is dead? Etc.... And many many more fundamental questions.... As you can see answering these questions will be no easy or fast task, there is a lot of research and data mining that will have to be done. I like to approach things from a purely scientific method, make no assumptions about anything and use a rigorous approach when testing, validating any and all conclusions. I like to see real data and correlations that are actually there before I start making assumptions. The reason I am searching for these answers is because, they are simply not available out on the internet. I have read many research papers on-line, and articles on this or that about various topics related to Forex and quantitative analysis, but whatever information there is, its very sparse or very vague (and there is no shortage of disinformation out there). So, I have no choice but to answer these questions myself. I have and will be spending considerable time on the endeavour, but I am also not delusional, there is only so much 1 man can do and achieve with the resources at his disposal. And at the end of the whole thing, I can at least say I gave it a good try. And along the way learn some very interesting things (already had a few eureka moments). Mo workflow so far has consisted of using a specific (free) software package that generate strategies. You can either use it to auto generate strategies or create very specific rules yourself and create the strategies from scratch. I am not a coder so I find this tool quite useful. I mainly use this tool to do lots of hypothesis testing as I am capable of checking for any possible correlations in the markets very fast, and then test for the significance if any of said correlations. Anyways who I am looking for? Well if you are the type of person that has free time on their hands, is keen on the scientific method and rigorous testing and retesting of various hypothesis, hit me up. You don't need to be a coder or have a PHD in statistics. Just someone who is interested in answering the same questions I am. Whats the end goal? I want to answer enough of these questions with enough certainty, whereby I can generate profitable algo strategies consistently. OR, maybe the answer is that It cant be done by small fry such as a retail trader. And that answer would be just as satisfactory, because It could save me a lot more time and money down the road, because I could close off this particular road and look elsewhere to make money.
Best time to press AA Priority Sector Reinforcement nerding (2), Quantitative Analysis using dropping Distance (Squadron Type) and squadron speed as variables for Tier 9, X and Super BBs (Simplified AA model)
Hi there, as a CV main I always have people asking me about the importance of Priority Sector Reinforcement and what's the best time to press the "O" button. I've always been trying to find out the answer to the AA Priority Sector Reinforcement mechanics (And what I can do to counter it as a CV Main). So I decided to conduct some analysis on this and make a series of posts. This is the second post of the series, the first post is available at:https://www.reddit.com/WorldOfWarships/comments/yudfs0/best_time_to_press_aa_priority_secto TLDR: For all British and Japanese high tier BBs, this makes no difference at all. For others, when dealing with Jet Squadrons (Especially Eagle's) the previously commonly agreed saying "Select the priority sector right after the enemy squadron enters your AA area" is not the best for more than half of all high tier BBs (There's a list below if you want to check and compare), instead, Select the priority sector prior to the enemy squadron entering your AA area so it receives maximum (Or close to maximum) AA reinforcement percentage all the time is a better approach. The old saying is still correct when deadling with non-Tactical squadrons that are not extremely wounded. The threshold increases when plane speed increases, and it follows a close-to-linear relationship. The increase of plane speed will increase the threshold between Method 1 and Method 2 (Method 1 is preferred when the target HP is higher than the threshold). Dropping distance has no impact to the threshold at all. I updated the AA data spreadsheet to include Tier 9s and superbattleships. For researchable Tier 9 BBs, only data from upgraded modules are used. AA Data for All Tier 9,10 and Super Battleships Analysis using Simplified AA model for Tier X BBs For simplicity, I made the following assumptions here (The purpose of this simplified AA model is only for rough analysis, I will try to give more accurate quantitative answers in future posts (If they exist))
The speed of the aircraft is certain throughout the attack (This is still a variable in the analysis)
Instead of "tick" every 0.286 seconds, AA damage is continuous throughout the process
The aircraft drops its armament from a certain distance from the ship (This is still a variable in the analysis)
Only consider one squadron to do one drop (The ability to stop a drop)
The attack path is a straight line (The radius)
Assume all AA mounts are intact
Estimation of time for squadrons facing AA fire: The speed of shells, torpedos, and planes is "Accelerated" in this game by a factor of 5.22 (Source: WG Q&A, https://forum.worldofwarships.com/topic/227385-speed-scale-factor-nerding/) Let the speed in-game be x knots, then the actual speed for planes is thus 5.22x knots, which is 2.685x m/s. Let the drop distance be y km, then the AA distance in-game is the Maximum AA range(km) - y(km). The time spent in AA is thus (Maximum AA range(km) - y(km))/0.002685x(m/s). There're two different methods
Select the priority sector right after the enemy squadron enters your AA area so the squadron receives extra instant damage. (Let's call this method 1)
Select the priority sector prior to the enemy squadron entering your AA area so it receives maximum (Or close to maximum) AA reinforcement percentage all the time. (Let's call this method 2)
If we assume that all planes stay <10s in the AA area (We'll come back to this part later!), then the equations for damage dealt using Methods 1 and 2 are: Effective Time = Time spent in the certain AA area*Average Reinforcement percentage M1: Long range DPS*Effective Time in Long range DPS+Mid range DPS*Effective Time in Mid-range DPS+Short range DPS*Effective Time in Short-range DPS+X*0.035 The average Reinforcement Percentage can be calculated by: (117.5%*5+135%(t-5))/t if the time spent in AA>=5s For Mid and short-range AAs, if the delay (Time between sector reinforcement start and aircraft enter AA) is less than 5s, the percentage is: (1.35*t-(5-delay)^2*0.07*0.5)/t If the delay is longer than 5s, then the percentage is just full 135%. The final equation of M2(Ship) for most ship is: Long range DPS*Time in Long Range DPS +Mid range DPS*Time in Mid Range DPS+Short range DPS*Time in Short Range DPS *1.35. What will happen if we increase the speed of aircrafts? Take Patrie as example (It has the highest threshold for 185kts planes), assume the drop distance is still 1km. Use the same method as the first post, we got the following: Speed vs. Effective Time/Percentage Speed vs. Threshold https://preview.redd.it/4slo3dnjsy1a1.png?width=725&format=png&auto=webp&s=b08654f5dd41ff7de600dd518f99460962430416 As we can see, the threshold increases when speed increases, and it follows a close-to-linear relationship. The increase of plane speed will increase the threshold between Method 1 and Method 2 (Method 1 is preferred when the target HP is higher than the threshold). What will happen if we increase the dropping distance of aircrafts? Take Patrie as example (It has the highest threshold for 185kts planes), assume the speed is still 185kts. Use the same method as the first post, we got the following: Dropping Distance vs. Effective Time/Percentage Dropping Distance vs Threshold For Patrie, Dropping distance has no impact to the threshold at all, this may seems counterintuitive but it's actually reasonable. Since we're only considering the ability to stop a single drop here, and the difference between the amount of AA damage for using both M1 and M2 has no relation to the dropping distance at all. Conclusion: By assuming a similar (close-to-linear) relationship for other ships, we get a list of threshold vs. speed for tier 9, 10 and super BBs. Threshold vs. Speed for Tier 9, 10 and Super BBs For reference, here the list of plane type and their typical maximum attack speed (Assume Speed Build): ~160kts: FDR Squadrons ~170kts: Midway Torpedoes, Nakhimov Torpedoes ~180kts: Malta Rockets/Torpedoes, Midway/US Bombers, Nakhimov Skip Bombers ~190kts: Audacious Rockets, Audacious/Eagle Torpedos, Malta Bombers ~200kts: Audacious/Eagle Bombers, Non-Leg Mod Haku Torpedoes, ~210kts: Immelmann Torpedoes ~220kts: Leg Mod Haku Torpedos, Non-Leg Mod Haku Rockets and Bombers, Nakhimov Rockets ~230kts: Midway/US Rockets ~240kts: Immelmann Skip Bombers, MVR, Leg Mod Haku Rockets and Bombers ~260kts: US Jet Torpedos ~300kts: US Jet Bombers ~350kts: Eagle Jet Torpedos and Bombers, US Jet Rockets ~400kts: Eagle Jet Rockets Please check according to the chart above to see the threshold for your ship. Reminder: If the squadron HP is higher than the number in the chart, don't select prority sector until it enters your AA areas, if the squadron HP is lower than that, select in advance for maximum efficiency. We can see that, when dealing with Tactical Squadrons (Especially Eagle's), the amount of that favors Method 2 over Method 1 is more than half of all high-tiers. However, Method 2 is not effective in most situations when against non-Jet Squadrons. This calculation used a simplified AA model and only focused on Battleships, future posts (If they exist) will discuss other possibilities, including plane speed and drop distance as variables, as well as other ship types with different values. Please feel free to comment below + point out any error you spot in this post. If you're interested in discussing other game mechanics or some real-time gameplays about how to make good use of those mechanics (Especially AA and CV related), I currently have a CV Solo winrate of 68%+ and I hold various leaderboard #1 positions on SEA, I stream at (https://www.twitch.tv/afs_short_on_water) if you're interested in some real-time gameplays and Q&As You can also join my Discord for CV-Related Questions if you're interested using the link (https://discord.gg/qkdRzSTu89)
Looking for someone to collaborate with in exploring some of the fundamental questions in algo trading in relation to quantitative analysis and the Forex market specifically.
I got interested in both algo trading and Forex about the same time. I figured that if I was going to trade in the Forex market or any market there after, I was going to use algorithms to do the trading for me. I wanted to minimize the "human factor" from the trading equation. With the research I have done so far, it seems that human psychology and its volatile nature can skew ones ability to make efficient and logical trades consistently. I wanted to free myself from that burden and focus on other areas, specifically in creating a system that would allow me to generate algorithms that are profitable more often then not. Consistently generating strategies that are more profitable then not is no easy task. There are a lot of questions one must first answer (to a satisfactory degree) before venturing forward in to the unknown abyss, lest you waste lots of time and money mucking about in the wrong direction. These following questions are what I have been trying to answer because I believe the answers to them are vital in pointing me in the right direction when it comes to generating profitable strategies. Can quantitative analysis of the Forex market give an edge to a retail trader? Can a retail trader utilize said edge to make consistent profits, within the market? Are these profits enough to make a full time living on? But before we answer these questions, there are even more fundamental questions that need to be answered. To what degree if any is back-testing useful in generating successful algo strategies? Are the various validation testing procedures such as monte carlo validation, multi market analysis, OOS testing, etc... useful when trying to validate a strategy and its ability to survive and thrive in future unseen markets? What are the various parameters that are most successful? Example... 10% OOS, 20% OOS, 50%......? What indicators if any are most successful in helping generate profitable strategies? What data horizons are best suited to generate most successful strategies? What acceptance criteria correlate with future performance of a strategy? Win/loss ratios, max draw-down, max consecutive losses, R2, Sharpe.....? What constitutes a successful strategy? Low decay period? High stability? Shows success immediately once live? What is its half life? At what point do you cut it loose and say the strategy is dead? Etc.... And many many more fundamental questions.... As you can see answering these questions will be no easy or fast task, there is a lot of research and data mining that will have to be done. I like to approach things from a purely scientific method, make no assumptions about anything and use a rigorous approach when testing, validating any and all conclusions. I like to see real data and correlations that are actually there before I start making assumptions. The reason I am searching for these answers is because, they are simply not available out on the internet. I have read many research papers on-line, and articles on this or that about various topics related to Forex and quantitative analysis, but whatever information there is, its very sparse or very vague (and there is no shortage of disinformation out there). So, I have no choice but to answer these questions myself. I have and will be spending considerable time on the endeavour, but I am also not delusional, there is only so much 1 man can do and achieve with the resources at his disposal. And at the end of the whole thing, I can at least say I gave it a good try. And along the way learn some very interesting things (already had a few eureka moments). Mo workflow so far has consisted of using a specific (free) software package that generate strategies. You can either use it to auto generate strategies or create very specific rules yourself and create the strategies from scratch. I am not a coder so I find this tool quite useful. I mainly use this tool to do lots of hypothesis testing as I am capable of checking for any possible correlations in the markets very fast, and then test for the significance if any of said correlations. Anyways who I am looking for? Well if you are the type of person that has free time on their hands, is keen on the scientific method and rigorous testing and retesting of various hypothesis, hit me up. You don't need to be a coder or have a PHD in statistics. Just someone who is interested in answering the same questions I am. Whats the end goal? I want to answer enough of these questions with enough certainty, whereby I can generate profitable algo strategies consistently. OR, maybe the answer is that It cant be done by small fry such as a retail trader. And that answer would be just as satisfactory, because It could save me a lot more time and money down the road, because I could close off this particular road and look elsewhere to make money.
(October 23, 2022) - Potentially under-recognized late-stage physical and psychosexual complications of non-therapeutic neonatal penile circumcision: a qualitative and quantitative analysis of self-reports from an online community forum
Renaissance Technologies LLC, also known as RenTech[4] or RenTec,[5] is an American hedge fund based in East Setauket, New York,[6] on Long Island, which specializes in systematic trading using quantitative models derived from mathematical and statistical analysis.
Is anyone using credit card transaction data for competitor analysis? What other tools are people using to get quantitative data on your client and competitors?
Curious to hear how people are quantitatively analysing market dynamics and getting the most up to date data apart from the typical stuff like third party market reports. Know a lot of hedge funds and institutions are using this but are there any consumer tools or consulting tools that offer this or something equivalent? Would you want this?
How can I get an entry level job for quantitative analysis or quantitative researcher with no previous finance/CS experience?
Hello everyone! I am interested in finding an entry level quantitative analysis/researcher job, but I don’t have any previous finance or CS experience. I have experience with: -Python, and Python Data Science libraries -Machine learning with Scikit-Learn -R -PostgreSQL -Excel and Tableau What can I do to find an entry level job, or an internship? Thank you in advance!
Hello PoE community. I have been impressed with the numerical analyses of loot following the release of PoE 3.19. However, I felt that they did not approach the crux of the issue, which is that the increased variability of receiving rewards and of receiving rewarding rewards was overlooked. This is a problem for players, especially for the 'everyman' in PoE, the guy who is playing one or two hours a day. I created this white paper to elucidate some points with regards to this issue using simulations which compare player experiences in 3.18 and 3.19. https://poefanboi.github.io
Potentially under-recognized late-stage physical and psychosexual complications of non-therapeutic neonatal penile circumcision: a qualitative and quantitative analysis of self-reports from an online community forum
Is anyone Majoring in Quantitative Analysis of Markets and Organizations? If so, what's it like?
I am almost done with my upper division bcore courses and right now I am planning on majoring in IS, but nobody is talking about QAMO. Is anyone able to give me some perspective on it?
Rewbix uses quantitative analysis recognizing statistically significant intrinsic inflection points early. Time at investment = high returns.
Murdering the S&P500. Making results public in the next 2 months. Rewbix AI will auto invest in the top 200 ranked stocks from the ranking database at the time of investment. Trading with fractional shares allows a distributed risk mitigated approach. It’s not really even the name of the company anymore. It’s when you’re able to get in at intrinsic inflection points. Time at investment is the most important variable. Time is the checkmate. The goal is to destroy passive index funds and even the USD. Creating a proper cryptocurrency with a solid backing making USD its bitch. The win is not in separating from USD but totally dominating it and enjoining it. Let’s keep going. SD
The Need for S̶p̶e̶e̶d̶ Rigorous Quantitative Analysis
Why am I posting?
I'm a physicist who is new to the sub and want to help investigate UFOs. For ease of reading, I've broken this up into a Q/A format. Not all questions might apply to you so feel free to skip around or ask more if there's anything you want cleared up. I stumbled across this sub a couple of weeks ago due to this post and while there were a lot of good comments with video footage none of it presented as particularly compelling. Since that post, I've seen several posts and comments express frustration over the lack of widespread acceptance or discussion of this topic. I've also read the investigate wiki which has some great resources but is in need of another tool. As the majority of people here seem to be genuine, I wanted to throw in my take on the issue of what constitutes compelling evidence and offer constructive criticism on how to get more serious discussion on this topic.
So what would be compelling evidence?
MATHS! At least that's the best you can do without physical evidence. Videos and pictures are great data but data is not the same as evidence. The video should be analyzed to determine useful parameters like speed, distance, size, or angular size. I've seen some comments that throw out phrases like "too big" or "INSANE speed" without any numbers associated with them. The numbers don't even have to be that accurate. Even an order of magnitude will be really useful in eliminating options. For example, if it's an object 1m across moving at 1m/s, it's definitely not a plane. If it's 100m across and moving at 100m/s it's not a balloon. Because the language of maths is universal, others can more readily look over your calculations and, if there are no mistakes, come to the same conclusion as you do. It's the easiest way to get unambiguous agreement.
What if I can't do maths?
Most of it isn't as difficult as you might imagine. If you can add, subtract, multiply, and divide, you have sufficient background to setup the computations. Here's a nice example with explanations of the mathematical principles, other than angle of view all quantities can be computed with basic arithmetic. You need not perform the computations yourself, a 4 function calculator or a spreadsheet can handle the numbers. I(and many others on Reddit) would be glad to help you figure out how to set up more complicated maths for different situations. Once a spreadsheet is set up, your role will often be reduced to data entry.
What if I don't want to do maths?
If what you have isn't compelling enough for you to put minimal effort into analysis, it will not be compelling to others to take you or UFO phenomena seriously.
What if did the maths and the evidence is still inconclusive?
This is unfortunate but sometimes this happens. The only resolution to this is to incorporate more data. Go back to where you took the photo/video from and take several more from the same position, the take more and change the angle a bit or shift to the side. The UFO might not be there but static objects like buildings/trees/mountains should be. Measure/calculate the dimensions of these objects, get your location, the time of day, and which direction you're facing. By getting pictures from multiple angles and locations you can refine earlier estimates and eliminate some possibilities.
What if I don't have any fancy/expensive scientific equipment?
You don't need it. Your mobile phone and whatever you might have in your pocket is usually sufficient for a lot of measurements. GPS and a clock combined with EXIF data will be super useful alone. You don't even have to be that far up on the tech tree. If you have all of your limbs and access to sticks you can use parallax to triangulate distances. The measurements will be in the non-standard units of paces or cubits but it'll still be pretty useful.
What if someone else took the photo/video?
If you're able to communicate with them ask them for their maths. See how much effort they put into identifying the object before concluding they couldn't. If it's a case of "We've tried nothing and we're all out of ideas." then proceed at your own risk as that person might not be cooperative or even act in bad faith as you attempt to debrief them.
What if I can't reach the person who took the photo/video?
Consider getting other data that they didn't publish before spending your time crunching the numbers. You will gain a lot more credibility when relaying something if you have corroborating/independent evidence.
How do I get other people to take me seriously when I spot a UFO?
Disclose all relevant information upfront and show you put effort into eliminating common explanations. It shows that you're acting in good faith and saves you from accusations of hiding information.
What is your stance on UFOs?
My stance on UFOs is that they are unidentified because (in decreasing order of likelihood) the person attempting to identify them is ignorant, lazy, or has poor quality/inconclusive evidence. Were we to have better evidence, we would arrive at the obvious/mundane terrestrial explanation. By ignorant, I do not mean that they are stupid just that they lack knowledge. I would liken it to certain pastors who claim demonic possession because they lack the formal medical training to identify mental illness. By lazy, I do not mean that they are unjustifiably lazy, although that might sometimes be the case. People have a limited amount of time and/or competing priorities, it is ok to be lazy towards certain aspects of your life.
MATIC attack: How wise cryptocurrency traders "cashed out" ahead of a 35% price decline The two ideal examples of how quantitative analysis can protect cryptocurrency investors from choppy markets are Polygon (MATIC) and Green Satoshi Token (GST).
Quantitative Analysis Guide: Which Statistical Software to Use?
Quantitative analysis, represented as QA, is a type of analysis in which you gather mathematical and statistical data, measure, and analyze the data using modeling methods. It is used to evaluate the financial condition of any business and firm. This analysis is also used to find the GDP of the country. https://digitalkings.org/quantitative-analysis-guide-which-statistical-software-to-use/
quantitative chemistry analysis by harris or analytical chemistry 2.1 by david harvey ?
which of these two do you recommend for a beginner looking to learn as much of the theory of analytical chemistry as possible? I don't have access to a lab yet I want to pursue a career in the pharmaceutical field and for that I have to enter as a laboratory assistant, I am looking for books that help me learn as much as possible of the techniques that are used in analytical validation or quality control
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Why is "does technical analysis/quantitive analysis beat buy and hold" a question surrounded in a ton of opinion instead of facts?
It's no secret that it's extremely easy to lose money when it comes to investing. By thinking you're smarter than the average bear and doing things like:
try to pick individual stocks that don't beat S&P when it comes to drawdown/return other than say... some of the best tech stocks of the past 10-20 years
introducing leverage/margin into a buy and hold strategy
trying to time the market/do things like investing in an ETF that shorts the market when you 'think' it's going down
trying to trade options/buy calls/puts and hope that you get the timing right and sell the increase in premium/IV but instead get caught in the wrong trade and have them expire worthless/near worthless on you
trying to trade things like commodities/forex
trying to trade things like futures (which move $50 for 1 SPX point directionally on /ES)
trying to draw trend lines/support/resistance/thinking you can accurately predict price movement based on patterns/history/wedges/candlestick patterns
use one of thousands of indicators like RSI/MACD/Bollinger Bands to try and suggest good entry/exit prices
try to make money by investing in currencies/crypto/random countries
https://www.google.com/search?q=stock+market+quant+jobs There's obviously at least some market for "Quantitative Algorithmic Trading Jobs" I'm just curious, how much of this is publicly accessible? There's SPY and IVV and VOO and VTI. People eat those up and love them. Why wouldn't people love access to an ETF that supposedly beats buy and hold through technical analysis/quantitive analysis/anything? A company offering that could potentially rake in lots of money. If the answer is "very few of them beat buy and hold", why is the industry as big as it is? If you google "does technical analysis actually work", https://www.google.com/search?q=does+technical+analysis+really+work you get a ton of articles saying... yes it does. This is contrary to what I would have thought. I've done a bit of light skimming on research papers related to computer programming algorithmic reinforcement training, and... it's almost 50-50. 50% of them say "no correlation was found, what we developed underperformed, stock market price movement is basically random noise" and the other 50% said "yep, totally possible, we beat buy and hold". What's the truth? I'm not looking to hear "1 in 10 people can successfully do TA/be a day tradebeat buy and hold". I want to hear... why isn't it agreed upon that 0 out of 10 average people can beat buy and hold? and if quant funds can beat buy and hold... where are they? are they really "so secret" that only people with millions can access them? My friend has $100m-$200m, he put some into something claiming to be a quant fund, it's down 30% this year...
The impact of the COVID-19 pandemic on Neuroendocrine tumour (NET) services and patients in the pandemic recovery period: A quantitative and qualitative analysis | UKINETS2022 | UKI NETS 20th National Conference
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![Renaissance Technologies LLC, also known as RenTech[4] or RenTec,[5] is an American hedge fund based in East Setauket, New York,[6] on Long Island, which specializes in systematic trading using quantitative models derived from mathematical and statistical analysis.](https://preview.redd.it/03wzdfl64ku91.jpg?width=640&crop=smart&auto=webp&s=d31842d8bcd9b6326c86560e17c2e11b520915d7 "Renaissance Technologies LLC, also known as RenTech[4] or RenTec,[5] is an American hedge fund based in East Setauket, New York,[6] on Long Island, which specializes in systematic trading using quantitative models derived from mathematical and statistical analysis.")
