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Algorithmic Trading

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Best Starting Kits for Algo Trading with C# #fintech #trading #algotrading #quantitative #quant #quants #hft ##markets #hedgefunds #fx #forex #software

Best Starting Kits for Algo Trading with C# #fintech #trading #algotrading #quantitative #quant #quants #hft ##markets #hedgefunds #fx #forex #software submitted by silahian to quant_hft [link] [comments]

List of 70+ Udemy and Some Best Discounted

List of 70 plus Udemy and Some Best Discounted ( Code Valid from few hours to upto 2 days )
  1. [English] 0h 49m Media Training -Radio: How to Speak Effectively on the Radio https://www.udemy.com/course/how-to-speak-on-radio/?couponCode=455D2FA6B100BA01CD9D 2 Days left at this price!
  2. [English] 1h 36m Charisma: You Can Develop Charisma https://www.udemy.com/course/how-to-develop-charisma/?couponCode=6BDAE9933FB569BED8C1 2 Days left at this price!
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  5. [English] 1h 34m Public Speaking Skills: Give a Great Informational Speech https://www.udemy.com/course/how-to-give-an-informational-speech/?couponCode=A2DBDF7C2F45ACDD316D 2 Days left at this price!
  6. [English] 0h 59m Sales Skills Training: Free Sales Generation Seminars https://www.udemy.com/course/how-to-deliver-a-free-sales-generation-semina?couponCode=47D73D11D2A7EC7D6FBC 2 Days left at this price!
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  8. [English] 1h 56m Complete Management Coaching Course - Executive Coaching https://www.udemy.com/course/complete-management-coaching-course-executive-coaching/?couponCode=D8B3ADC8240A82506319 2 Days left at this price!
  9. [English] 5h 46m Become a Successful Online Teacher - Teach Online Students https://www.udemy.com/course/complete-udemy-bestsellers-online-course-creation-unofficial/?couponCode=3CD9C87E21C76A849072 2 Days left at this price!
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  11. [English] 2h 49m Learn HTML- Beginner to Advanced https://www.udemy.com/course/learn-html-beginner-to-advanced/?couponCode=462B17B62209CD079DB1 2 Days left at this price!
  12. [English] 1h 18m How to Earn from Photography: Absolute Beginners Guide https://www.udemy.com/course/earn-from-photography-complete-guideline/?couponCode=EARNPOCT2020F2 2 Days left at this price!
  13. [English] 6h 3m The Complete Android Ethical Hacking Practical Course C|AEHP https://freebiesglobal.com/the-complete-android-ethical-hacking-practical-course-caehp-5 2 Days left at this price!
  14. [English] 8h 49m TCP/IP Socket Programming HandsOn-Windows & Linux in C & C++ https://www.udemy.com/course/tcpip-socket-programming-handson-windows-linux-in-c-c/?couponCode=SOCKET_PROG20 2 Days left at this price!
  15. [English] 20h 20m Ultimate Content Writing Masterclass: 30 Courses in 1 https://www.udemy.com/course/ultimate-content-writing-masterclass-30-courses-in-1/?couponCode=WRITING28 2 Days left at this price!
  16. [English] 7h 53m Complete Law of Attraction MasterClass - Manifest Your Goals https://www.udemy.com/course/lawofattractionmasterclass/?couponCode=LAWOFATTRACTION 2 Days left at this price!
  17. [English] 3h 23m Microsoft Power BI: Latest 2020 Beginner to Expert Modules https://www.udemy.com/course/microsoft-power-bi-latest-2020-beginner-to-expert-modules/?couponCode=POWER29 2 Days left at this price!
  18. [English] 2h 0m The Ultimate Guide to Scrum Fundamentals- 2020 https://www.udemy.com/course/scrum-genman/?couponCode=GETSCRUM 2 Days left at this price!
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  20. [English] 0h 46m Mindfulness For Depression, Anxiety, PTSD, Stress Sampler https://www.udemy.com/course/mindfulness-for-depression-anxiety-ptsd-stress-sample?couponCode=7B330FB6CB29EAF8D7EC 2 Days left at this price!
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  26. [English] 3h 13m Affinity Publisher Guide - Affinity Publisher for Beginners https://www.udemy.com/course/affinity-publisher-guide/?couponCode=60C5AAC8301103E15A98 2 Days left at this price!
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  28. [English] 2h 31m AWS Business Essentials - The Business Value of Amazon AWS https://www.udemy.com/course/aws-business-essentials/?couponCode=AWSBUSINESS 1 Day left at this price!
  29. [English] 3h 13m PowerPoint Essentials for Business Presentations https://www.udemy.com/course/powerpoint-essentials-for-business-presentations/?couponCode=OCT2020 1 Day left at this price!
  30. [English] 56h 30m Corporate Finance https://www.udemy.com/course/corporate-finance/?couponCode=B2A8FAB800A27473FAAC 13 hrs left at this price!
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  32. [English] 1h 24m Brain-friendly reading - Understand 300 books per year https://www.udemy.com/course/brain-friendly-reading-understand-300-books-per-yea?couponCode=STARTREADING 2 Days left at this price!
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  36. [English] 2h 1m Learn Advanced HTML5 https://www.udemy.com/course/the-complete-html-5-course-from-scratch/?couponCode=TRY10FREE307 2 Days left at this price!
  37. [English] 0h 48m Learn Google Forms https://www.udemy.com/course/learn-google-forms/?couponCode=TRY10FREE307 2 Days left at this price!
  38. [English] 1h 53m Learn Advanced CSS3 https://www.udemy.com/course/the-complete-css-course/?couponCode=TRY10FREE307 2 Days left at this price!
  39. [English] 2h 15m Learn Advanced JavaScript https://www.udemy.com/course/the-learn-javascript-course/?couponCode=TRY10FREE307 2 Days left at this price!
  40. [English] 0h 32m Learn Microsoft PowerApps https://www.udemy.com/course/learn-microsoft-powerapps-/?couponCode=TRY10FREE307 2 Days left at this price!
  41. [English] 0h 44m Learn Trello https://www.udemy.com/course/learn-basic-trello/?couponCode=TRY10FREE307 2 Days left at this price!
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  44. [Spanish] 1h 10m Física: Estática - Fuerzas - Equilibrio - Ejercicios https://www.udemy.com/course/fisicaestatica/?couponCode=40DA54990CA840FC16CB 1 Day left at this price!
  45. [English] 3h 33m PlayerUnknown's Battlegrounds (PUBG) For Beginner Gamers https://www.udemy.com/course/playerunknowns-battlegrounds-pubg/?couponCode=PUBGBGEXPOCT312020 2 Days left at this price!
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  47. [Spanish] 3h 27m [2020] Scrum Master Certificación Mundial https://www.udemy.com/course/scrum-master-espanol/?couponCode=OCT2020 2 Days left at this price!
  48. [Spanish] 1h 46m Agile Coach Introducción al Rol https://www.udemy.com/course/agile-coach/?couponCode=OCT2020 2 Days left at this price!
  49. [English] 4h 2m Intuition Development for Beginners | Energy Healing & Tarot https://www.udemy.com/course/intuition-energy-healing/?couponCode=INTUITIONFREE 1 Day left at this price!
  50. [English] 2h 33m Vegan Cooking Class Vegan Thai Food Easy Vegan Recipes https://www.udemy.com/course/vegan-cooking-class-vegan-thai-food-easy-vegan-recipes/?couponCode=VEGANTHAI28102020 1 Day left at this price!
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  52. [English] 2h 45m Master Spring & Angular Material with a full web application https://www.udemy.com/course/master-spring-angular-material-with-a-full-web-application/?couponCode=A0BECB22BC8C8D9C98B6 1 Day left at this price!
  53. [English] 1h 46m Portrait Photography for Absolute Beginners https://www.udemy.com/course/mastering-portrait-photography/?couponCode=PORTRAITOCT2020F3 1 Day left at this price!
  54. [English] 2h 17m Complete Guide to InVideo and InVideo Video Creation https://www.udemy.com/course/complete-guide-to-invideo-and-invideo-video-creation/?couponCode=89061B53CBC29FF9F2EC 1 Day left at this price!
  55. [English] 4h 51m New Way to Make Money at No Budget! Drop Servicing WordPress https://www.udemy.com/course/create-drop-servicing-website-with-wordpress/?couponCode=FREEPROMOTION 1 Day left at this price!
  56. [English] 5h 5m Advance Maths: Part III: Statistics & Probability https://www.udemy.com/course/advanced-mathematics-part-iii-statistics-probability/?couponCode=SAM2612 15 hrs left at this price!
  57. [English] 2h 29m Advance Maths: Part II: Fourier Transform https://www.udemy.com/course/advance-course-in-mathematics-part-ii/?couponCode=SIMABHI2612 15 hrs left at this price!
  58. [English] 4h 1m Advance Maths: Part I: Linear Differential Equations https://www.udemy.com/course/advanced-course-in-mathematics-part-i/?couponCode=SEEMABHI2612 14 hrs left at this price!
  59. [English] 53h 42m Managerial Accounting / Cost Accounting https://www.udemy.com/course/managerial-accounting-cost-accounting/?couponCode=74CEB0E3645D8ED18DEA 12 hrs left at this price!
  60. [English] 118h 56m Accounting–Financial Accounting Total-Beginners to Advanced https://www.udemy.com/course/financial-accounting-accounting-cycle/?couponCode=FBA9292E89D59C671FB3 12 hrs left at this price!
  61. [English] 100h 13m QuickBooks Online 2020 Vs. QuickBooks Desktop 2020 https://www.udemy.com/course/quickbooks-online-vs-quickbooks-desktop/?couponCode=8548658665DC1E3B1CB9 12 hrs left at this price!
  62. [English] 5h 32m Python Demonstrations For Practice Course https://freebiesglobal.com/python-demonstrations-for-practice-course-4 1 Day left at this price!
  63. [English] 6h 23m Learning Analytics Through R https://www.udemy.com/course/learning-analytics/?couponCode=LEARNING28 1 Day left at this price!
  64. [English] 9h 40m Tableau Training: Master Tableau For Data Science https://www.udemy.com/course/tableau-training-master-tableau-for-data-science/?couponCode=TABLEAU28 1 Day left at this price!
  65. [English] 1h 36m Computer Basics 2020:Essential Computer Skills And Knowledge https://www.udemy.com/course/computer-basics-2020-basic-computer-skills-and-fundamentals/?couponCode=DISCOUNT-100 1 Day left at this price!
  66. [English] 49h 1m The Complete 2020 PHP Full Stack Web Developer Bootcamp https://www.udemy.com/course/the-complete-php-full-stack-web-developer-bootcamp/?couponCode=FREEBEEOCT 1 Day left at this price!
  67. [English] 3h 50m Substance painter 2020 - The complete 3D Texturing course https://www.udemy.com/course/substance-painter-2020-the-complete-3d-texturing-course/?couponCode=FREETIME 1 Day left at this price!
  68. [Spanish] 4h 17m Excel para negocios y empresas | ACTUALIZADO 2020 https://www.udemy.com/course/excelparanegocios/?couponCode=13E45874992DC0C540CD 1 Day left at this price!
  69. [English] 3h 49m Introduction to Forex- learn to trade forex by yourself https://www.udemy.com/course/introduction-to-forex-learn-to-trade-forex-by-yourself/?couponCode=1F0D68F4944923897966 1 Day left at this price!
  70. [English] 2h 15m Business Networking for Success and Company Growth: Part Two https://www.udemy.com/course/business-networking-for-success-2/?couponCode=BNSCGEXPOCT302020 1 Day left at this price!
  71. [English] 2h 13m Business Networking for Success and Company Growth: Part One https://www.udemy.com/course/business-networking-1/?couponCode=BNSCPOEXPOCT302020 1 Day left at this price!
  72. [English] 3h 50m Substance painter 2020 - The complete 3D Texturing course https://www.udemy.com/course/substance-painter-2020-the-complete-3d-texturing-course/?couponCode=FREETIME 1 Day left at this price!
  73. [English] 1h 27m Business Networking for Success and Company Growth: Part 3 https://www.udemy.com/course/business-networking-for-success-3/?couponCode=BNSCEXPOCT302020 1 Day left at this price!
  74. [English] 1h 51m Lean Tools and Techniques for Flow and Pull https://www.udemy.com/course/lean-tools-and-techniques-for-flow-and-pull/?couponCode=B035585AB9A21B8432CE 12 hrs left at this price!
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submitted by ViralMedia007 to FREECoursesEveryday [link] [comments]

APIs offered by brokers and data platforms

I’ve been looking for a broker that has an API for index futures and ideally also futures options. I’m looking to use the API to build a customized view of my risk based on balances, positions, and market conditions.
Searching the algotrading sub I found many API-related posts, but then when I actually read them and their comments, I found they’re often lacking in real substance. It turns out many brokers or data services that have APIs don’t actually support index futures and options via the API, and instead they focus on equities, forex, or cypto. So here’s the list of what I’ve found so far. This isn’t a review of these brokers or APIs and note that I have a specific application in mind (index futures and futures options). Perhaps you’re looking for an API for equities, or you just want data and not a broker, in which case there may be a few options. Also, I’m based in the US so I didn’t really look for brokers or platforms outside the US.
If you have experience with these APIs, please chime in with your thoughts. Also, I may have missed some brokers or platforms. If I did or if you see anything that needs correction please let me know.

Platform Notes
ADM Investor Services No API
Ally Invest Does not support futures instruments
Alpaca Only supports US Equities
Alpha Vantage Does not support futures instruments
AMP Broker with a huge number of platforms available including some with APIs
ApexFutures No API
Arcade Trader No API
AvaTrade Does not support futures instruments
Backtrader Not a data feed; otherwise looks cool but also looks like a one-man shop
Cannon Trading Broker with a variety of platforms, some have API access such as TT
Centerpoint No API
Charles Schwab API does not support futures instruments
Cobra No API
Daniels Trading No API
Discount Trading Broker with a variety of platforms including CQG, Rithmic, TT, some with APIs
Edge Clear Broker with a variety of platforms including CQG, Rithmic, TT, some with APIs
Eroom Now part of Dashprime. Offer a variety of APIs including CQG, TT, CBOE's Silexx, and others via FIX.
ETNA Trader Only supports equities, options (including multi-legs), ETFs, Mutual Funds (Forex with cryptocurrencies coming soon)
ETrade API seems robust but OAuth authorization needs to be refreshed via login once per 24 hours
Futures Online No API
Gain Capital Futures API available, based on .NET; unsure if they are open to retail clients
GFF Brokers Broker with a large number of platforms including some with API access
High Ridge Futures Broker with a variety of platforms including CQG, Rithmic, TT, some with APIs
iBroker API available; contact them for more info
IEX Cloud Looks great but does not support futures instruments
Infinity Futures JSON API available; contact them for more info
Interactive Brokers Client Web API looks promising if clunky
Intrinio Supports futures instruments but is expensive
Koyfin No API
Lightspeed C++ API available
marketstack API for equities available. Does not support futures instruments.
Medved Trader Windows app with a streaming API to various data sources and brokers. See comment below about API beta access.
NinjaTrader Does not support futures options
Norgate Data Not a broker; supports futures data for $270/year
Oanda Forex only; API last updated in 2018
Optimus Futures Broker with a large number of available platforms including some with API access
Phillip Capital Broker with a large number of available platforms including some with API access
polygon.io Expensive but looks slick; does not support futures instruments
Quandl API looks solid; $49/monthly for personal use, does not allow distributing or sharing data; not a broker
Quantconnect Does not expose raw data
Quantopian Does not expose raw data
Quantower Software that connects to multiple brokers and data feeds; API to their software via C# interface
Saxo Markets Broker with extensively documented API
Stage 5 Trading API available through Trading Technologies
Straits Financial Broker with several platforms available including some with APIs such as CQG, R
Sweet Futures Broker with a large number of available platforms including some with API access
TastyWorks There's an unofficial Python API
TenQuant.io Does not support futures instruments
ThinkorSwim Does not support futures instruments via the API
Tiingo Free account tier but does not support futures instruments
TradePro Broker with a number of platforms available; unclear if any are available with API access
Tradier Free developer API account for delayed data but does not support futures instruments
TradeStation Nice looking API docs and supports futures instruments; requires opening an account and a minimum balance of $100k and there’s no trial available
TradeFutures4Less Broker with a variety of platforms including CQG, Rithmic, TT, some with APIs
TradingTechnologies API looks robust; pricing starts at $700/month
TradingView Does not expose data API
Tradovate Technologies API exists, documentation unknown; need to talk to their account team
Wedbush Futures Broker with several platforms offered, a few of which have API access
WEX .NET/COM only; pricing not disclosed on website
Xignite Pricing not disclosed on website but they do support futures instruments
Yahoo Finance API Available through RapidAPI or via direct access; but it’s discontinued and unreliable
Zaner Broker with a variety of platforms including CQG, Rithmic, TT, some with APIs

Wow, this list grew longer than I originally thought it would be. If you spot a mistake, please let me know and I’ll correct it.
Edit:
- added Lightspeed API - updated Dashprime to indicate some of the APIs available - added Medved Trader to table - added marketstack to table
submitted by theloniusmunch to thewallstreet [link] [comments]

Ideas in motion: Coin offering entitling you to the profits of a hedge fund

Ideas in motion: Coin offering entitling you to the profits of a hedge fund
Hi,
I would like some advice about a potential coin offering I would like to start.
I'm a trader and developer, and I've been building an automated trading platform for quite some time now (see pics).
This platform allows users to build, test, and deploy automated trading strategies. Naturally, I'm the first user, so I'm automating my own scalping-style strategy for the Forex market. I've traded this strategy manually with success and have moved on to automating it. Others who want to automate their trading strategies can do so on this platform, which provides them with a development environment and a set of libraries and APIs for trading and visualization. Their strategies can then be deployed to trade live with brokers and generate profits for them. So in many ways, the platform is currently similar to QuantConnect.com
I'm exploring ideas for the integration of blockchain technology into this project. I think it would interesting to start a coin offering that gives the coin holder rights to the profits of a hedge fund.
Such a fund can exclusively trade automated strategies (no manual trading) that are developed in-house and thoroughly tested and proven to be profitable prior to going live. Such a fund can exist entirely electronically, built on top of my platform, with the platform serving as the UI to everything:
  1. Development environment for trading strategies.
  2. Deployment & management of live strategies (with UI abilities to intervene).
  3. A management system for the distribution of profits to coin holders
  4. Reporting, regulatory, and risk managements systems associated with traditional hedge funds

Since the platform is the "host" to trading strategies built to run on it, it can be the gatekeeper to order flow, funding, and profits. In other words, it can be built such that
  1. The distribution of profits to coin holders is immutably engrained in the software.
  2. Allocation of funds to different strategies can be controlled via voting of coin holders.

Funds are needed to put together a team and continue developing this project full speed.
Would such a coin offering generate interest?
Btw I'm based in NYC if anybody wants to meet in-person.
https://preview.redd.it/p81ppmk01si51.png?width=1336&format=png&auto=webp&s=419dde09bad911c3de820e16f0fb3f4e9b5de8fc
https://preview.redd.it/xj5dnkk01si51.png?width=1332&format=png&auto=webp&s=19b8cf583099fd2edd3352f7d0afc2a83279aa70
https://preview.redd.it/8eyurmk01si51.png?width=1267&format=png&auto=webp&s=1d9c9e6b7679a5917e378a687d4509e03fbbc11a
submitted by NoiseNo8221 to blockchain_startups [link] [comments]

e-Forex Magazine | Give your High Frequency Trading Network the edge

fintech #trading #algotrading #quantitative #quant

e-Forex Magazine | Give your High Frequency Trading Network the edgeBy Mike Bauer, Technical Pre-Sales Director at BSO When financial market participants set their network strategies, much of their focus is around the main mode of communication.
In the ‘race to zero’ latency, how big an advantage does a microwave network provide, for example? And in what circumstances do fibre optics make more sense? What are the best ways to integrate the two? And what new technology is on the horizon? But there is a whole other level of network innovation taking place, which has the potential to make enormous differences for firms. Particularly those aiming to gain an edge at every point of a trading round trip. An array of hardware and software options Networks, after all, are made up of much more than the cables and radio frequencies that carry the data. They involve an array of hardware and software options at each stage of the process.
A high frequency trading firm needs to have the r.....
Continue reading at: http://www.e-forex.net/articles/jan-2020-give-your-high-frequency-trading-network-the-edge.html
submitted by silahian to quant_hft [link] [comments]

Seeking Perspective - Steps to take for career switch from successful software Sales Engineer to Portfolio Management career track?

Hi, everyone. I've read many posts related to this question recently and decided to start my own thread to see if anyone can give a bit of personalized perspective for my situation. I'm considering a switch into finance with the long-term goal of achieving a Portfolio Manager position (at a quant or quantamental fund), and I would like to know what steps to take or if this is even possible (e.g. MBA/MS Finance/MS Financial Engineering, ==> Analyst position, ???)
Too long - won't read
Personal background
Job history
Where I need to learn
Thanks in advance to anyone who takes the time to answer. After listening to countless episodes of podcast interviews like "Invest Like the Best" and others, and hearing all the traits of successful Portfolio Managers and Investing Firms, I'm starting to get that lingering feeling that this is where I would be most engaged and successful in my career. Investing is the only subject in my life that I can read about and experiment with for 12 hours in a day and still crave more when I wake up again. Whether it's opinion pieces or published studies, I just find it endlessly fascinating.
submitted by ShindigsTX to FinancialCareers [link] [comments]

When robots meet humans in forex trading

fintech #trading #algotrading #quantitative #quant

When robots meet humans in forex trading Conducting Forex trading with the assistance of robots is not as simple an idea as many people think it is. While robots often provide some well-defined benefits for their human traders, their use in this market is a topic that deserves a closer look.
In the modern economy of automation and AI, a fresh generation of tech-savvy traders are changing the market by applying new software and other new technologies. These changes beg the question: what effect will robots have on human trading? Automation in forex The currency exchange market requires a particularly high level of commitment if you expect any kind of success. After all, we’re talking about the most liquid market in the world. According to Nasdaq, Forex is the most actively traded market in the world, with $5 trillion traded every single day. This figure is 25-times higher than global equities trading. At the same time, Forex is constantly moving, so tracking it in any meaningful w.....
Continue reading at: https://born2invest.com/articles/when-robots-meet-humans-in-forex-trading/
submitted by silahian to quant_hft [link] [comments]

When robots meet humans in forex trading

fintech #trading #algotrading #quantitative #quant

When robots meet humans in forex trading Conducting Forex trading with the assistance of robots is not as simple an idea as many people think it is. While robots often provide some well-defined benefits for their human traders, their use in this market is a topic that deserves a closer look.
In the modern economy of automation and AI, a fresh generation of tech-savvy traders are changing the market by applying new software and other new technologies. These changes beg the question: what effect will robots have on human trading? Automation in forex The currency exchange market requires a particularly high level of commitment if you expect any kind of success. After all, we’re talking about the most liquid market in the world. According to Nasdaq, Forex is the most actively traded market in the world, with $5 trillion traded every single day. This figure is 25-times higher than global equities trading. At the same time, Forex is constantly moving, so tracking it in any meaningful w.....
Continue reading at: https://born2invest.com/articles/when-robots-meet-humans-in-forex-trading/
submitted by silahian to quant_hft [link] [comments]

Looking to get into algorithmic trading, need some help with markets/finance

Hey how's it going everyone.
I'm looking to get into algorithmic trading and was wondering what a good way to start was. I've checked out quantstart for example but it seems extensive. A bit about my background first, I have a BS in EE CS from a top UC school and I also work as an software engineering intern right now at a well known Fintech company. My backgrounds pretty heavy in CS + EE and mathematics as well and I'm excited to apply my skills towards trading and algorithms where I can also use my software development skills. I also have an offer for a winter internship as a quant dev/analyst a small fund on wallstreet. I'm also deciding on an MFE/CS/applied econ math program next fall or spring as deadlines are coming up.
Desire: I would like to understand more about algorithmic trading platforms and of course to begin trading, I'd like to learn how to apply my background in ML to markets as well but my main goal is starting slow. I want to do this before my internship begins. I've also began using robinhood and it's alot of fun, I'd love to play around with their api.
My questions:
1) My main questions pertains towards the finance side. I don't have trading experience and would like to learn within the next three months. I'd like to learn more about backtesting and begin simulated algorithmic trading with fictitious money before moving on to actual money. Any tips on this?
2) What platform should I look into to learn more about trading, I'm thinking about equities first and then looking into something like forex or even crypto. Unless a better suggestion you have in mind. I'm mainly interested in commission free and no fees, if that even exists. I know robinhood does this but is there a desktop based platform?
3) I'm curious about the inner working of algorithmic trading. Are most people using just an autonomous algorithm they run that connects to an exchange/broker? Or are most people building their own exchanges and testing on both?
4)If there's any good articles or guides/videos you've seen that are applicable that would be great.
submitted by algo_quantthrow to algotrading [link] [comments]

Acute Growth of Algorithm Trading Market Opportunity Assessments 2019-2023

Acute Growth of Algorithm Trading Market Opportunity Assessments 2019-2023
Algorithm Trading Market
Research report comes up with the size of the global Algorithm Trading Market for the base year 2019 and the forecast between 2019 and 2023. Market value has been estimated considering the application and regional segments, market share, and size, while the forecast for each product type and application segment has been provided for the global and local markets.
The Algorithm Trading report offers detailed profiles of the key players to bring out a clear view of the competitive landscape of the Algorithm Trading Outlook. It also comprehends market new product analysis, financial overview, strategies and marketing trends.
Major Manufacturer Detail: Thomson Reuters, 63 moons, InfoReach, Argo SE, MetaQuotes Software, Automated Trading SoftTech, Tethys, Trading Technologies, Tata Consulting Services, Vela, Virtu Financial, Symphony Fintech, Kuberre Systems, iRageCapital, QuantCore Capital Management
Get a Free PDF Sample Copy! Click Here: https://www.acquiremarketresearch.com/sample-request/205792/
The report reckons a complete view of the world Algorithm Trading market by classifying it in terms of application and region. These segments are examined by current and future trends. Regional segmentation incorporates current and future demand for them in North America, Asia Pacific, Europe, and the Middle East. The report collectively covers specific application segments of the market in each region.
Types of Algorithm Trading covered are: Forex Algorithm Trading, Stock Algorithm Trading, Fund Algorithm Trading, Bond Algorithm Trading, Cryptographic Algorithm Trading
Applications of Algorithm Trading covered are: large Enterprise, SME
Use Corporate ID to avail Discount on this Algorithm Trading Market Report report: https://www.acquiremarketresearch.com/discount-request/205792/
Regional Analysis For Algorithm Trading Market
North America (The United States, Canada, and Mexico) Europe (Germany, France, UK, Russia, and Italy) Asia-Pacific (China, Japan, Korea, India, and Southeast Asia) South America (Brazil, Argentina, Colombia, etc.) The Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria, and South Africa)
Table of Contents:
Study Coverage: It includes key manufacturers covered, key market segments, the scope of products offered in the global Algorithm Trading market, years considered, and study objectives. Additionally, it touches the segmentation study provided in the report on the basis of the type of product and application. Executive summary: It gives a summary of key studies, market growth rate, competitive landscape, market drivers, trends, and issues, and macroscopic indicators. Production by Region: Here, the report provides information related to import and export, production, revenue, and key players of all regional markets studied. Profile of Manufacturers: Each player profiled in this section is studied on the basis of SWOT analysis, their products, production, value, capacity, and other vital factors.
Reasons to buy:
• In-depth analysis of the market on the global and regional level. • Major changes in market dynamics and competitive landscape. • Segmentation on the basis of type, application, geography, and others. • Historical and future market research in terms of size, share, growth, volume & sales. • Major changes and assessment in market dynamics & developments. • Industry size & share analysis with industry growth and trends. • Emerging key segments and regions. • Key business strategies by major market players and their key methods. • The research report covers size, share, trends and growth analysis of the Algorithm Trading Market on the global and regional level.
Get Full Report Description, TOC, Table of Figures, Chart, etc. @ https://www.acquiremarketresearch.com/industry-reports/algorithm-trading-market/205792/
In conclusion, the Algorithm Trading Market report is a reliable source for accessing the Market data that will exponentially accelerate your business. The report provides the principle locale, economic scenarios with the item value, benefit, supply, limit, generation, request, Market development rate, and figure and so on. Besides, the report presents a new task SWOT analysis, speculation attainability investigation, and venture return investigation.
submitted by hannah_jack to TechInsightreports [link] [comments]

High-Frequency Trading and Crypto Dark Pools: How Do They Work? - Coindoo

fintech #trading #algotrading #quantitative #quant #quants #forex #cryptos #bitcoin

High-Frequency Trading and Crypto Dark Pools: How Do They Work?About High-Frequency Trading in Crypto According to Wikipedia, high-frequency trading, or HFT, is a type of algorithmic trading characterized by high speeds, high turnover rates, and high order-to-trade ratios that leverages high-frequency financial data and electronic trading tools.
To put into more day-to-day language, high-frequency trading refers to the usage of specific software that allows traders to make thousands of high-speed trades in a fully automated and efficient way.
This technique of trading has grown alongside the Internet that allowed more and more investors, institutions, and hedge funds to take part. Since cryptocurrencies are a very hot topic these days, high-frequency trading is now starting to appeal more and more to crypto investors from all over the globe. High-Frequency Trading on the Coinbase Source: MediumAbout Crypto Dark Pools The concept of dark pools is not exactly new, as they emerg.....
Continue reading at: https://coindoo.com/high-frequency-trading-and-crypto-dark-pools-how-do-they-work/
submitted by silahian to quant_hft [link] [comments]

Computer Engineering vs Software Engineering

I am an Economics senior graduating in the Spring. I have also been trading Forex for 2 years now which I enjoy. My ambition is to be a quant trader. So I am planning on going back to school for either Computer Engineering o Software Engineering & Applied Mathematics. Which tech degree is more applicable to trading? I know computer engineering is a mix of cs and ee so focuses on the hardware software interface whereas software focuses on algorithms, programming and software in general. Which tech degree applies to trading more between computer engineering vs software engineering?
submitted by Thunderbird93 to quant [link] [comments]

Strategies And Secrets Of High Frequency Trading (HFT) Firms

fintech #trading #algotrading #quantitative #quant #hft #forex #fx #crypto #gbpusd

Strategies And Secrets Of High Frequency Trading (HFT) Firms Secrecy, Strategy and Speed are the terms that best define high frequency trading (HFT) firms and indeed, the financial industry at large as it exists today.
HFT firms are secretive about their ways of operating and keys to success. The important people associated with HFT have shunned limelight and preferred to be lesser known, though that's changing now.
The firms in the HFT business operate through multiple strategies to trade and make money. The strategies include different forms of arbitrage – index arbitrage, volatility arbitrage, statistical arbitrage and merger arbitrage along with global macro, long/short equity, passive market making, and so on.
HFT rely on the ultra fast speed of computer software, data access (NASDAQ TotalView-ITCH, NYSE OpenBook, etc) to important resources and connectivity with minimal latency (delay).
Let’s explore some more about the types of HFT firms, their strategies to make m.....
Continue reading at: https://www.investopedia.com/articles/active-trading/092114/strategies-and-secrets-high-frequency-trading-hft-firms.asp
submitted by silahian to quant_hft [link] [comments]

Best Starting Kits for Algo Trading with C# – Hacker Noon

fintech #trading #algotrading #quantitative #quant #quants #hft ##markets #hedgefunds #fx #forex #software

Best Starting Kits for Algo Trading with C# – Hacker NoonAlpacaBlockedUnblockFollowFollowingAug 31, 2018Photo by Nikhil Mitra on UnsplashToday, the world is transforming towards automated fashion, including manufacture, cars, marketing and logistics. Personal investment is no exception. At Alpaca, we are pushing this boundary forward so everyone can enjoy the automated investment world.List of .NET/C# Algo Trading SystemsWhen it comes to algo trading and automated investment, Python is one of the biggest players in the space, but many experts also use .NET/C# for its high performance and robustness. As we did some research on toolset you might look at to start your algo trading, we wanted to share this list for you.Overall, the ecosystem has grown so much lately, and many open sources and tools are available for you at low cost, without much equipment.QuantConnect is one of the most popular online backtesting and live trading services, where you can learn and experiment your trading st..... Continue reading at: https://hackernoon.com/best-starting-kits-for-algo-trading-with-c-52952e3c7522
submitted by silahian to quant_hft [link] [comments]

Commodities traders playing tech catch up - bobsguide.com

fintech #trading #algotrading #quantitative #quant #quants #hft ##markets #hedgefunds #fx #forex

Commodities traders playing tech catch up By Alex Hamilton | 8 March 2019The exponential increase in trading data has become a challenge for traditional commodities venues who “have come late into the electronic age”, according to Bob Mudhar, partner at Citihub Consulting, while the best solution to their issues will be found in artificial intelligence (AI) and machine learning, and not in the cloud.“As trading becomes more electronic, the volumes of market data, orders and trades also increase. Managing this requires investment in newer storage, event handling, and data analytics solutions,” says Mudhar. “Since much of this data is also publicly available, venues also run the risk of falling behind other market participants in understanding the markets they are supporting. Venues that have traded commodity derivatives have tended to be addressing increasing data volumes for much longer than physical venues.”Mudhar says there is little benefit in the cloud, as the software us..... Continue reading at: https://www.bobsguide.com/guide/news/2019/Ma8/commodities-traders-playing-tech-catch-up/
submitted by silahian to quant_hft [link] [comments]

High-Frequency Trading and Crypto Dark Pools: How Do They Work? - Coindoo

fintech #trading #algotrading #quantitative #quant #quants #forex #cryptos #bitcoin

High-Frequency Trading and Crypto Dark Pools: How Do They Work?About High-Frequency Trading in CryptoAccording to Wikipedia, high-frequency trading, or HFT, is a type of algorithmic trading characterized by high speeds, high turnover rates, and high order-to-trade ratios that leverages high-frequency financial data and electronic trading tools.To put into more day-to-day language, high-frequency trading refers to the usage of specific software that allows traders to make thousands of high-speed trades in a fully automated and efficient way.This technique of trading has grown alongside the Internet that allowed more and more investors, institutions, and hedge funds to take part. Since cryptocurrencies are a very hot topic these days, high-frequency trading is now starting to appeal more and more to crypto investors from all over the globe.High-Frequency Trading on the CoinbaseSource: MediumAbout Crypto Dark PoolsThe concept of dark pools is not exactly new, as they emerged somewhere aro..... Continue reading at: https://coindoo.com/high-frequency-trading-and-crypto-dark-pools-how-do-they-work/
submitted by silahian to quant_hft [link] [comments]

JPMorgan Licensing Its Trading Software: Could It Be The Next Big SaaS Company?

fintech #trading #algotrading #quantitative #quant #quants #forex #fx #banks #hedgefunds #hft

Could It Be The Next Big SaaS Company?Share to facebookShare to linkedinThe investment market is becoming increasingly automated, forcing the leading Wall Street firms to come up with out-of-the-box ways to differentiate.Taking a page from the software as a service market, JPMorgan Chase has started licensing its trading software to third parties outside of the company.  It's not a new strategy--BlackRock began licensing its risk analytics program Aladdin in the late 1990’s--but it is one that is growing as the industry gets much more competitive and technology plays a bigger role in investing. One only has to look at the advent of robo advisors as one example of how technology can disrupt a traditional market.  JPMorgan Already Has 208 Clients Licensing Its Platform Dubbed Investment Analytics Platform, JPMorgan’s head of global custody and fund services Teresa Heitsenrether told CNBC in a recent interview that the bank has already signed on 208 large investors and h..... Continue reading at: https://www.forbes.com/sites/donnafuscaldo/2018/11/06/jpmorgan-the-next-saas-company/
submitted by silahian to quant_hft [link] [comments]

Forex Algorithmic Trading Strategies: My Experience | Toptal

fintech #trading #algotrading #quantitative #quant #fx #spot #forex #hft

Forex Algorithmic Trading Strategies: My ExperienceAs you may know, the Foreign Exchange (Forex, or FX) market is used for trading between currency pairs. But you might not be aware that it’s the most liquid market in the world.A few years ago, driven by my curiosity, I took my first steps into the world of Forex algorithmic trading by creating a demo account and playing out simulations (with fake money) on the Meta Trader 4 trading platform.After a week of ‘trading’, I’d almost doubled my money. Spurred on by my own successful algorithmic trading, I dug deeper and eventually signed up for a number of FX forums. Soon, I was spending hours reading about algorithmic trading systems (rule sets that determine whether you should buy or sell), custom indicators, market moods, and more.My First ClientAround this time, coincidentally, I heard that someone was trying to find a software developer to automate a simple trading system. This was back in my college days when I was learning about conc..... Continue reading at: https://www.toptal.com/data-science/algorithmic-trading-a-practical-tale-for-engineers
submitted by silahian to quant_hft [link] [comments]

Ruslan Kamenskiy - Genesis Vision CEO - did you know this?

How much do you know about the GV CEO Ruslan?
He is an extremely experienced developer with a HUGE proven track record:
TALK ABOUT LEADING BY EXAMPLE.
Right now the Genesis Vision team are quiet, working away, with this guy spear heading the team. I am an early investor in GVT, before it was as successful and hyped as right now. I invested because of many reasons, I would need another thread to discuss them all. However amongst these many reasons, 1 of them was because of this guy, highly experienced, proven track record, I can quite happily say I trust them with my money and GVT.
2018 & 2019 will be HUGE for GVT ~ big things coming!
submitted by elcryptonerd to genesisvision [link] [comments]

Derivatives Trading is on the Edge of a New World With Artificial Intelligence on Level01

Derivatives Trading is on the Edge of a New World With Artificial Intelligence on Level01
https://preview.redd.it/2r0yyzpr9z321.png?width=640&format=png&auto=webp&s=4d3d9fa506588761696133140ca38af266215f29
Could artificial intelligence in trading become the new normal? Advances in technology and new standards surrounding automated trading are pushing us ever closer to transforming the industry. If this sounds very much like a science fiction movie, we can assure you it is not.
In fact, artificial intelligence (AI) is already being utilized by banks, but its going to take a little longer for people to catch up to the idea that their investment is as safe, if not safer than it would be if their investments were handled by humans. An analysis by Accenture indicates that between 2018 and 2022, banks that invest in AI and human-machine collaboration at the same rate as top-performing businesses could boost their revenue by an average of 34 percent. AI’s application is proven to improve efficiencies or customer outcomes and the software-development team at Level01 is working hard to achieve a human-machine collaborated future in derivatives trading — to help people trade better, with ease and peace of mind.
As far as discernment in artificial intelligence in trading go, algorithmic trading is perhaps the most discussed of all. If we take a closer look at its application today, automated trading reflects our attitudes towards technology and how it is evolving the way we invest. Yet much of the discussion is still fixated on the hypothetical scenarios that automated trading would take over human jobs. Much less weight is being placed on the fact that AI through its fundamental form known to many as algorithmic trading has been used by institutional and retail investors for almost a decade now. “But there’s an obvious gap between institutional and retail users when it comes to trading and we aim to bridge that gap by creating a ‘level playing field’ for Level01 users. We do this by empowering them with our AI price discovery mechanism known as ‘FairSense’” says Naglis Vysniauskas, Head Quant Developer at Level01. “The AI was built using cross-stream analytics that were previously available only to institutional organizations.”
From helping investors to assess true market value of the contracts to enabling them to continuously update their bid or offer price relative to the implied fair value by FairSense, plenty of functions were built in to support human-collaborated trading, rather than substituting it. Introducing these features on a sleek user-friendly app is a strategic step-by-step approach to help the public get used to a whole different way of investing on an efficient and trustworthy Peer to Peer Derivatives Market platform like Level01. “People will experience trading at speeds, liquidity, freedom, accountability and transparency that have never been available before” says Vysniauskas. Those that find it hard to believe, can now experience trading on Level01 without limitations traditionally set by brokers, who would force their clients to accept their given price, disallow clients from dictating the best execution and insist that clients to trade at a ‘spread vs. mid’ (clients have no power to negotiate the level of spreads which they pay). The level of freedom granted to users on Level01 is enticing and highly persuasive.
“On the Level01 Derivatives Exchange platform, retail investors (or users as we call them) can trade against multiple peers or brokers, and this enables them to find best execution available,” says Vysniauskas. “Also, the ability to specify a fixed spread to fair value of an instrument could potentially reduce trading spreads significantly for large investors.” The practicality of this feature though may not fit small investors though, because leaving fixed bid or offer prices without continuous adjustment would be risky in markets where sudden movements are common. “That is why we built Level01 to give users the freedom to continuously update their bid or offer price relative to the implied fair value by FairSense, this is so that if the trade is not a match, the bid or offer price is updated continuously as market moves to ensure that it is always priced competitively relative to the most recent fair value” adds Vysniauskas.
HOW DOES FAIRSENSE WORK TO LEVEL01 USER’S ADVANTAGE? For the purposes of explaining how FairSense AI helps users on Level01, we take a look at this case study of a Binary Option Example on EUUSD Forex Pair.
https://preview.redd.it/qqiilcks9z321.png?width=600&format=png&auto=webp&s=cfff89ed36c8051751e93f072c5c5f89b2ecace5
A 10-minute binary put option is being offered at a $59.73 (fair value +$0.50). The order is not filled or matched almost immediately, and after 4 seconds, the EUUSD spot price has moved by 1.5 pips and the fair value has not moved above the investor’s offer price.
In this case, a contract is being offered below fair value.
Now take a look at Chart 01 below. You can see that the relationship of the fair value of an option with the spot EUUSD price. You can tell that the fair value is highly dependent on the spot rate. Thus, if a retail investor submits an offer to an exchange, it might be filled at a time when it is already below the fair value — an undesirable scenario for investors. Such scenarios will stop investors from submitting further offers to the exchange.
https://preview.redd.it/v9gfxbit9z321.png?width=600&format=png&auto=webp&s=fea9e3720a679b5f79e0306409c73f71844210ac
To resolve this common problem, Level01’s FairSense AI enables all investors to quote ‘relative offers’ to FairSense’s fair value. This allows investors to simultaneously compete for the best offers without imposing them with a requirement to have their own algorithms for price estimation and having them continuously updating the quote manually.
https://preview.redd.it/4lmbz3du9z321.png?width=600&format=png&auto=webp&s=dd59e23b3bab3d0d0097f5a0016bf489ddbbae4f
In many ways, having AI as the norm will become essential to creating investment outcomes that are optimized for every type of investor, truly transforming the way trading is done. With an advanced Blockchain platform, AI and inbuilt frameworks that are designed to favor the user, Level01 will shape the future of automated trading on its Peer to Peer Derivatives Exchange at scale and speed that the world will come to marvel.
submitted by Level01Exchange to u/Level01Exchange [link] [comments]

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

Period: 108.98 days
Submissions Comments
Total 999 10425
Rate (per day) 9.17 95.73
Unique Redditors 361 695
Combined Score 4162 17424

Top Submitters' Top Submissions

  1. 296 points, 24 submissions: tuckerbalch
    1. Project 2 Megathread (optimize_something) (33 points, 475 comments)
    2. project 3 megathread (assess_learners) (27 points, 1130 comments)
    3. For online students: Participation check #2 (23 points, 47 comments)
    4. ML / Data Scientist internship and full time job opportunities (20 points, 36 comments)
    5. Advance information on Project 3 (19 points, 22 comments)
    6. participation check #3 (19 points, 29 comments)
    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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Potential phone interview with FX traders, need some advice.

Family friend put me in contact with a friend of his who runs a forex trading house in order to get some career advice (and i assume seek employment) and I want to get some advice on how to proceed.
Im in my last year of bachelors computer science and was mainly looking at software dev jobs, not with a particular focus on finance. I have completed one course on computer finance which covered option pricing, some basic stochastic finance like random walks, monte carlo simulations and just a general intro to quant finance (i.e volatilities, correlations).
I have completed a more lengthy paper on Value at Risk and writing a program to calculate it which i am a bit more confident on talking about.
I hadn't really considered a financial career as i was hoping to go into mobile software dev, but I want to make the best of this oppurtunity. From what I gather from their website they use some automated systems to trade so Im guessing thats what made this guy want to speak to me having done some coding related to finance (thats all he about me as of yet).
Hoping I could get some advice on:
submitted by uluvboobs to FinancialCareers [link] [comments]

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