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Algorithmic Trading

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Bitcoin 1.0 vs 2.0 – or – A Comparison of Legacy Exchanges & Veritaseum's UltraCoin

Veritaseum is looking for liquidity providers to assist in kickstarting the world's first global P2P exchange. If you have a healthy stash of BTC, please contact us to discuss.
I was looking at the offerings of a large US bitcoin exchange just now, after hearing that Coinbase had the highest volume of any US-based broker just weeks after opening an exchange (we’ll discuss that at a different time, since Coinbase is waiving fees meaning those users are hot money, but likely are part of the largest installed bitcoin user base in the world and growing rapidly). What I found was illuminating, at least for me since I don’t follow the offerings of BTC brokers and exchanges that closely. I noticed several of the industry (BTC exchange) leaders offer leverage, plain vanilla swaps and TRS (total return swaps - basically fixed/variable rates in major fiat denominations for cryptocurrency (BTC. LTC, DRK) exposure). I said to myself, “Wow, that’s pretty advanced.” Then I looked at the fees, and saw the swaps were priced up to and past 15%. Then, upon further research, I realized that these swaps were financing mechanisms for margin lending. The first thing that came to mind was the difference, and limitations that come with the business models of first generation bitcoin companies and second generation Bitcoin companies. Take notice in the difference of the capitalization. Lower case "b" denotes the accounts of value that the mainstream media calls digital currency. Upper case "B" denotes the blockchain-based, protocol driven services and capabilities behind the lower case "b". Generation 1.0 v. generation 2.0!
To put this into perspective, Veritaseum's UltraCoin offers user programmable swaps (ie. you can make your own CDS, TRS or plain vanilla, or even a custom swap) with exposures to not just 3 cryptos and 3 or 4 fiat currencies, but all major and most exotic currency pairs (dozens) as well as over 45,000 tickers covering EVERY major asset class (stocks, bonds, forex & commodities as well as cryptos) from exchanges throughout the world. This is all capable at a sliding scale of 10 to 25 basis points, round trip. That's the equivalent of 5 bp to 12.5 bp per trade. In addition, all of this is done without UltraCoin having any possession of your funds, whatsoever. Veritaseum (the company behind UltraCoin) is a software concern, not a financial entity, thus you have no exposure to our balance sheet. We cannot MT. Gox you and you essentially have no counterparty, default or credit risk because your counterparty is the blockchain, and you trade peer to peer vs. through a centralized exchange. Pretty big difference from the legacy systems that we're all used to, no?

The Difference between Bitcoin 1.0 and Bitcoin 2.0 Companies

To begin with, I'd like to make clear that not only is the title misleading, but all references to the same are essentially inaccurate. Bitcoin itself is still in beta stage (0.9x) thus its not accurate to refer to 1st and 2nd generations of bitcoin businesses. If anything, we're all in beta. Now that I've gotten that off of my chest... The first bold generation of bitcoin entrepreneurs (it's amazing that you can refer to companies born 2 and 3 years ago as a previous generation, it just goes to show you how fast this space is moving!) built businesses based upon bitcoin as a legacy commodity. Basically, they bought, sold, transmitted or transferred it as a unit of value. They did this because that's how everything was done for the last several thousand years in the financial services industry. Basically, they had no choice - or so they thought. Then came those who read the Satoshi whitepaper and the bitcoin wiki and saw a very different meaning. My team and I are among those entrepreneurs. We saw that bitcoins were malleable, programmable, tools with which one can use to paint upon the canvas of value. A far cry from the moving of static financial widgets from place to place. Think of moving bitcoins around (bitcoin 1.0 companies) vs programming bitcoins to act on their own according to their contractual owner's wishes (bitcoin 2.0 companies) akin to pushing a model T Ford around town vs. programming your driverless electric Tesla to go by the grocery store to pick up some fresh produce before swinging by the school to pick up your kids on the way home to meet you to take your wife (girlfriend?) out to dinner.

A Real World Comparison of Bitcoin Companies

Tickers Available

Veritaseum's UltraCoin: ~45,000+
Asset Classes Available
Veritaseum's UltraCoin: Stocks, Bonds, Commodities, Forex, Cryptos and many indices
Costs Veritaseum's UltraCoin: up to 25 bp round trip for all products (primarily smart contract swap driven)
Leverage available: Veritaseum's UltraCoin: up to 10,000x, with finite digital P/L parameters (no margin calls, no negative account drawdowns)
How does Veritaseum do it? We program the bitcoin to act according to a mutual agreement between two or more parties, then send it to the blockchain to act accordingly. These agreements are self executing, unbreakable promises known as "Smart Contracts". In this case, they are highly customizable, P2P OTC swaps, but we are working on a multitude of other products, services and solutions as well. We also supply very high level, unconflicted, independent and impartial strategy and research for our customers. Since we don't use our balance sheet and we don't act as a principal, we have no incentive to skewer the research in any particular direction.

Smart Contracts as Transaction Vehicles: The Safest Possible Way To Exchange Value

Veritaseum's UltraCoin BTC-based smart contracts are: 1. highly flexible - you design your own derivatives yourself using your own parameters via our simple graphical user interface 2. self-executing 3. autonomous 4. unbreachable: we call them, the unbreakable promise! They are backed, fortified and stored by/on the Bitcoin blockchain itself 5. uber-transparent: simple click the "trace transaction" button to find the location and historical travel path of your assets anytime, from anywhere you have an internet connection

Trading Through a Balance Sheet-Based Financial Institution vs. Distributed, Decentralized, P2P Software Concern

What I do want to accomplish is the education through the fact that the Bitcoin protocol has given rise to the genesis of a new type of company, with a new business model that can offer a totally new type of product. As you were able to see from above, Veritaseum's UltraCoin offers a very uniquer product with many if not all of the attributes that potential competitors offer, with a slew of attributes that others can't touch. This is done at 1/150th of the price and at much less risk! When dealing with Veritaseum's UltraCoin, you can never get Gox'd because we never have (nor do we want) possession of your coins or fiat - every, at any time. Because we don't user our balance sheet (we are a software company, not a centralized exchange or brokedealer) you:
This is just the beginning of what is capable with bitcoin (and this is pure bitcoin, not altcoins, no tokens, no sidechains, just pure, old fashioned [at least as old as it can be considered] bitcoin) and 2.0 business models. Wait until you see the new stuff we'll be rolling out.
I implore you to download our:
There's also a lot of BTC industry research available for download as well as our blog which has some of the best fundamental and macro research available on the web. Hardcore traders, investors and speculators should check out my latest piece: It's All Out War, Pt 3: Is the Danish Krone Peg to Euro More Fragile Than Glass Beads? The Danish National Bank Infers So!
Any bitcoin-rich individuals or entities looking to provide liquidity to the system, individuals/compamies who wish to partner, accredited investors looking for a piece of the action (you have to be willing to sign and NDA, we are quite open to working with anybody), or those who simply want to shoot the breeze should feel free to contact us.
Bitcoin 2.0 An example of an UltraCoin smart contract summary
Here's some info about me, my team and what we're doing at Veritaseum:
submitted by Reggie-Middleton to BitcoinDerivatives [link] [comments]

Bitcoin 1.0 vs 2.0 – or – A Comparison of the Largest USD/BTC Exchange & UltraCoin: Features & Costs

I was looking at the offerings of Bitfinex just now, after hearing that Coinbase had the highest volume of any US-based broker just weeks after opening an exchange (we’ll discuss that at a different time, since Coinbase is waiving fees meaning those users are hot money, but likely are part of the largest installed user base). What I found was illuminating, at least for me since I don’t follow the offerings of BTC brokers and exchanges that closely. Bitfinix offers leverage, plain vanilla swaps and TRS (total return swaps - basically fixed/variable rates in major fiat denominations for cryptocurrency (BTC. LTC, DRK) exposure). I said to myself, “Wow, that’s pretty advanced.” Then I looked at the fees page, and saw the swaps were priced at 15%. The first thing that came to mind was the difference, and limitations that come with the business models of first generation bitcoin companies and second generation bitcoin companies.
To put this into perspective, Veritaseum's UltraCoin offers user programmable swaps (ie. you can make your own CDS, TRS or plain vanilla, or even a custom swap) with exposures to not just 3 cryptos and 3 or 4 fiat currencies, but all major and most exotic currency pairs (dozens) as well as over 45,000 tickers covering EVERY major asset class (stocks, bonds, forex & commodities as well as cryptos) from exchanges throughout the world****. This is all capable at a sliding scale of 10 to 25 basis points, round trip. That's the equivalent of 5 bp to 12.5 bp per trade - or 1/150th of what Bitfinex charges for a much simpler and more constrained product. In addition, all of this is done without UltraCoin havin any possession of your funds, whatsoever. Veritaseum (the company behind UltraCoin) is a software concern, not a financial entiity, thus you have no exposure to our balance sheet. We cannot MT. Gox you and you essentially have no counterparty, default or credit risk because your counterparty is the blockchain, and you trade peer to peer vs. through a centralized exchange. Pretty big difference, no?
I will continue my discussion on pricing and features right after I delineate the distinction between the two.

The Difference between Bitcoin 1.0 and Bitcoin 2.0 Companies

To begin with, I'd like to make clear that not only is the title misleading, but all references to the same are essentially inaccurate. Bitcoin itself is still in beta stage (0.9x) thus its not accurate to refer to 1st and 2nd generations of bitcoin businesses. If anything, we're all in beta. Now that I've gotten that off of my chest... The first bold generation of bitcoin entrepreneurs (it's amazing that you can refer to companies born 2 and 3 years ago as a previous generation, it just goes to show you how fast this space is moving!) built businesses based upon bitcoin as a legacy commodity. Basically, they bought, sold, transmitted or transferred it as a unit of value. They did this because that's how everything was done for the last several thousand years in the financial services industry. Basically, they had no choice - or so they thought. Then came those who read the Satoshi whitepaper and the bitcoin wiki and saw a very different meaning. My team and I are among those entrepreneurs. We saw that bitcoins were malleable, programmable, tools with which one can use to paint upon the canvas of value. A far cry from the moving of static financial widgets from place to place. Think of moving bitcoins around (bitcoin 1.0 companies) vs programming bitcoins to act on their own according to their contractual owner's wishes (bitcoin 2.0 companies) akin to pushing a model T Ford around town vs. programming your driverless electric Tesla to go by the grocery store to pick up some fresh produce before swinging by the school to pick up your kids on the way home to meet you to take your wife (girlfriend?) out to dinner.

A Real World Comparison of Bitcoin Companies: Bitfinex (v1.0) vs Veritaseum (v2.0)

Tickers Available

Bitfinex: ~6 or 7 (this is an approximation) - BTC, LTC, DRK, USD & (I'm assuming EUR, CNY and maybe GBP). It is quite possible that I'm underestimating their portfolio here.
Veritaseum's UltraCoin: ~45,000+
Asset Classes Available
Bitfinex: Crypto and forex
Veritaseum's UltraCoin: Stocks, Bonds, Commodities, Forex, Cryptos and many indices
Costs Bitfinex: up to 40bp round trip, 1,500bp for swaps
Veritaseum's UltraCoin: up to 25 bp round trip for all products (primarily smart contract swap driven)
Leverage available: Bitfinex: Assumed to be up to 50x, traditional margin lending
Veritaseum's UltraCoin: up to 10,000x, with finite digital P/L parameters (no margin calls, no negative account drawdowns)
How does Veritaseum do it? We program the bitcoin to act according to a mutual agreement between two or more parties, then send it to the blockchain to act accordingly. These agreements are self executing, unbreakable promises known as "Smart Contracts". In this case, they are highly customizable, P2P OTC swaps, but we are working on a multitude of other products, services and solutions as well. We also supply very high level, unconflicted, independent and impartial strategy and research for our customers. Since we don't use our balance sheet and we don't act as a principal, we have no incentive to skewer the research in any particular direction.

Smart Contracts as Transaction Vehicles: The Safest Possible Way To Exchange Value

Veritaseum's UltraCoin BTC-based smart contracts are: 1. highly flexible - you design your own derivatives yourself using your own parameters via our simple graphical user interface 2. self-executing 3. autonomous 4. unbreachable: we call them, the unbreakable promise! They are backed, fortified and stored by/on the Bitcoin blockchain itself 5. uber-transparent: simple click the "trace transaction" button to find the location and historical travel path of your assets anytime, from anywhere you have an internet connection

Trading Through a Balance Sheet-Based Financial Institution vs. Distributed, Decentralized, P2P Software Concern

It's a matter of risk. This is not a dig at Bitfinex. After looking at their volume (significant) and their offerings (quite impressive given the newness of this industry) the last thing I would ever want to do is to disparage them. As a matter of fact, I give them kudos! Good job, fellas! What I do want to accomplish is the education through the fact that the Bitcoin protocol has given rise to the genesis of a new type of company, with a new business model that can offer a totally new type of product. As you were able to see from above, Veritaseum's UltraCoin offers a very uniquer product with many if not all of the attributes that potential competitors offer, with a slew of attributes that others can't touch. This is done at 1/150th of the price and at much less risk! When dealing with Veritaseum's UltraCoin, you can never get Gox'd because we never have (nor do we want) possession of your coins or fiat - every, at any time. Because we don't user our balance sheet (we are a software company, not a centralized exchange or brokedealer) you:
This is just the beginning of what is capable with bitcoin (and this is pure bitcoin, not altcoins, no tokens, no sidechains, just pure, old fashioned [at least as old as it can be considered] bitcoin) and 2.0 business models. Wait until you see the new stuff we'll be rolling out.
We are in beta, so please be aware of that and the shortcomings that it entails (although it is also my opinion that most bitcoin companies are in beta because bitcoin itself is in beta, as implied above). I implore you to download, and trade with, our:
There's also a lot of BTC industry research available for download as well as our blog which has some of the best fundamental and macro research available on the web. Hardcore traders, investors and speculators should check out my latest piece: It's All Out War, Pt 3: Is the Danish Krone Peg to Euro More Fragile Than Glass Beads? The Danish National Bank Infers So!
Any bitcoin-rich individuals or entities looking to provide liquidity to the system, individuals/compamies who wish to partner, accredited investors looking for a piece of the action (you have to be willing to sign and NDA, we are quite open to working with anybody), or those who simply want to shoot the breeze should feel free to contact us.
Bitcoin 2.0 An example of an UltraCoin smart contract summary
Here's some info about me, my team and what we're doing at Veritaseum:
submitted by Reggie-Middleton to BitcoinMarkets [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)

Top Commenters

  1. tuckerbalch (2296 points, 1185 comments)
  2. davebyrd (1033 points, 466 comments)
  3. yokh_cs7646 (320 points, 177 comments)
  4. rgraziano3 (266 points, 147 comments)
  5. j0shj0nes (264 points, 148 comments)
  6. i__want__piazza (236 points, 127 comments)
  7. swamijay (227 points, 116 comments)
  8. _ant0n_ (205 points, 149 comments)
  9. ml4tstudent (204 points, 117 comments)
  10. gatechben (179 points, 107 comments)
  11. BNielson (176 points, 108 comments)
  12. jameschanx (176 points, 94 comments)
  13. Artmageddon (167 points, 83 comments)
  14. htrajan (162 points, 81 comments)
  15. boyko11 (154 points, 99 comments)
  16. alyssa_p_hacker (146 points, 80 comments)
  17. log_base_pi (141 points, 80 comments)
  18. Ran__Ran (139 points, 99 comments)
  19. johnsmarion (136 points, 86 comments)
  20. jgorman30_gatech (135 points, 102 comments)
  21. dyllll (125 points, 91 comments)
  22. MikeLachmayr (123 points, 95 comments)
  23. awhoof (113 points, 72 comments)
  24. SharjeelHanif (106 points, 59 comments)
  25. larrva (101 points, 69 comments)
  26. augustinius (100 points, 52 comments)
  27. oimesbcs (99 points, 67 comments)
  28. vansh21k (98 points, 62 comments)
  29. W1redgh0st (97 points, 70 comments)
  30. ybai67 (96 points, 41 comments)
  31. JuanCarlosKuriPinto (95 points, 54 comments)
  32. acschwabe (93 points, 58 comments)
  33. pharmerino (92 points, 47 comments)
  34. jgeiger (91 points, 28 comments)
  35. Zapurza (88 points, 70 comments)
  36. jyoms (87 points, 55 comments)
  37. omscs_zenan (87 points, 44 comments)
  38. nurobezede (85 points, 64 comments)
  39. BelaZhu (83 points, 50 comments)
  40. jason_gt (82 points, 36 comments)
  41. shuang379 (81 points, 64 comments)
  42. ggatech (81 points, 51 comments)
  43. nitinkodial_gatech (78 points, 59 comments)
  44. harshsikka123 (77 points, 55 comments)
  45. bkeenan7 (76 points, 49 comments)
  46. moxyll (76 points, 32 comments)
  47. nelsongcg (75 points, 53 comments)
  48. nickzelei (75 points, 41 comments)
  49. hunter2omscs (74 points, 29 comments)
  50. pointblank41 (73 points, 36 comments)
  51. zheweisun (66 points, 48 comments)
  52. bs_123 (66 points, 36 comments)
  53. storytimeuva (66 points, 36 comments)
  54. sva6 (66 points, 31 comments)
  55. bhrolenok (66 points, 27 comments)
  56. lingkaizuo (63 points, 46 comments)
  57. Marvel_this (62 points, 36 comments)
  58. agifft3_omscs (62 points, 35 comments)
  59. ssung40 (61 points, 47 comments)
  60. amchang87 (61 points, 32 comments)
  61. joshuak_gatech (61 points, 30 comments)
  62. fall2017_ml4t_cs_god (60 points, 50 comments)
  63. ccrouch8 (60 points, 45 comments)
  64. nick_algorithm (60 points, 29 comments)
  65. JetsonDavis (59 points, 35 comments)
  66. yjacket103 (58 points, 36 comments)
  67. hilo260 (58 points, 29 comments)
  68. coolwhip1234 (58 points, 15 comments)
  69. chvbs2000 (57 points, 49 comments)
  70. suman_paul (57 points, 29 comments)
  71. masterm (57 points, 23 comments)
  72. RolfKwakkelaar (55 points, 32 comments)
  73. rpb3 (55 points, 23 comments)
  74. venkatesh8 (54 points, 30 comments)
  75. omscs_avik (53 points, 37 comments)
  76. bman8810 (52 points, 31 comments)
  77. snladak (51 points, 31 comments)
  78. dfihn3 (50 points, 43 comments)
  79. mlcrypto (50 points, 32 comments)
  80. omscs-student (49 points, 26 comments)
  81. NellVega (48 points, 32 comments)
  82. booglespace (48 points, 23 comments)
  83. ccortner3 (48 points, 23 comments)
  84. caa5042 (47 points, 34 comments)
  85. gcalma3 (47 points, 25 comments)
  86. krushnatmore (44 points, 32 comments)
  87. sn_48 (43 points, 22 comments)
  88. thenewprofessional (43 points, 16 comments)
  89. urider (42 points, 33 comments)
  90. gatech-raleighite (42 points, 30 comments)
  91. chrisong2017 (41 points, 26 comments)
  92. ProudRamblinWreck (41 points, 24 comments)
  93. kramey8 (41 points, 24 comments)
  94. coderafk (40 points, 28 comments)
  95. niufen (40 points, 23 comments)
  96. tholladay3 (40 points, 23 comments)
  97. SaberCrunch (40 points, 22 comments)
  98. gnr11 (40 points, 21 comments)
  99. nadav3 (40 points, 18 comments)
  100. gt7431a (40 points, 16 comments)

Top Submissions

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

Top Comments

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

Bitcoin 1.0 vs 2.0 – or – A Comparison of the Largest USD/BTC Exchange & UltraCoin: Features & Costs

I was looking at the offerings of Bitfinex just now, after hearing that Coinbase had the highest volume of any US-based broker just weeks after opening an exchange (we’ll discuss that at a different time, since Coinbase is waiving fees meaning those users are hot money, but likely are part of the largest installed user base). What I found was illuminating, at least for me since I don’t follow the offerings of BTC brokers and exchanges that closely. Bitfinix offers leverage, plain vanilla swaps and TRS (total return swaps - basically fixed/variable rates in major fiat denominations for cryptocurrency (BTC. LTC, DRK) exposure). I said to myself, “Wow, that’s pretty advanced.” Then I looked at the fees page, and saw the swaps were priced at 15%. The first thing that came to mind was the difference, and limitations that come with the business models of first generation bitcoin companies and second generation bitcoin companies.
To put this into perspective, Veritaseum's UltraCoin offers user programmable swaps (ie. you can make your own CDS, TRS or plain vanilla, or even a custom swap) with exposures to not just 3 cryptos and 3 or 4 fiat currencies, but all major and most exotic currency pairs (dozens) as well as over 45,000 tickers covering EVERY major asset class (stocks, bonds, forex & commodities as well as cryptos) from exchanges throughout the world****. This is all capable at a sliding scale of 10 to 25 basis points, round trip. That's the equivalent of 5 bp to 12.5 bp per trade - or 1/150th of what Bitfinex charges for a much simpler and more constrained product. In addition, all of this is done without UltraCoin havin any possession of your funds, whatsoever. Veritaseum (the company behind UltraCoin) is a software concern, not a financial entiity, thus you have no exposure to our balance sheet. We cannot MT. Gox you and you essentially have no counterparty, default or credit risk because your counterparty is the blockchain, and you trade peer to peer vs. through a centralized exchange. Pretty big difference, no?
I will continue my discussion on pricing and features right after I delineate the distinction between the two.

The Difference between Bitcoin 1.0 and Bitcoin 2.0 Companies

To begin with, I'd like to make clear that not only is the title misleading, but all references to the same are essentially inaccurate. Bitcoin itself is still in beta stage (0.9x) thus its not accurate to refer to 1st and 2nd generations of bitcoin businesses. If anything, we're all in beta. Now that I've gotten that off of my chest... The first bold generation of bitcoin entrepreneurs (it's amazing that you can refer to companies born 2 and 3 years ago as a previous generation, it just goes to show you how fast this space is moving!) built businesses based upon bitcoin as a legacy commodity. Basically, they bought, sold, transmitted or transferred it as a unit of value. They did this because that's how everything was done for the last several thousand years in the financial services industry. Basically, they had no choice - or so they thought. Then came those who read the Satoshi whitepaper and the bitcoin wiki and saw a very different meaning. My team and I are among those entrepreneurs. We saw that bitcoins were malleable, programmable, tools with which one can use to paint upon the canvas of value. A far cry from the moving of static financial widgets from place to place. Think of moving bitcoins around (bitcoin 1.0 companies) vs programming bitcoins to act on their own according to their contractual owner's wishes (bitcoin 2.0 companies) akin to pushing a model T Ford around town vs. programming your driverless electric Tesla to go by the grocery store to pick up some fresh produce before swinging by the school to pick up your kids on the way home to meet you to take your wife (girlfriend?) out to dinner.

A Real World Comparison of Bitcoin Companies: Bitfinex (v1.0) vs Veritaseum (v2.0)

Tickers Available

Bitfinex: ~6 or 7 (this is an approximation) - BTC, LTC, DRK, USD & (I'm assuming EUR, CNY and maybe GBP). It is quite possible that I'm underestimating their portfolio here.
Veritaseum's UltraCoin: ~45,000+
Asset Classes Available
Bitfinex: Crypto and forex
Veritaseum's UltraCoin: Stocks, Bonds, Commodities, Forex, Cryptos and many indices
Costs Bitfinex: up to 40bp round trip, 1,500bp for swaps
Veritaseum's UltraCoin: up to 25 bp round trip for all products (primarily smart contract swap driven)
Leverage available: Bitfinex: Assumed to be up to 50x, traditional margin lending
Veritaseum's UltraCoin: up to 10,000x, with finite digital P/L parameters (no margin calls, no negative account drawdowns)
How does Veritaseum do it? We program the bitcoin to act according to a mutual agreement between two or more parties, then send it to the blockchain to act accordingly. These agreements are self executing, unbreakable promises known as "Smart Contracts". In this case, they are highly customizable, P2P OTC swaps, but we are working on a multitude of other products, services and solutions as well. We also supply very high level, unconflicted, independent and impartial strategy and research for our customers. Since we don't use our balance sheet and we don't act as a principal, we have no incentive to skewer the research in any particular direction.

Smart Contracts as Transaction Vehicles: The Safest Possible Way To Exchange Value

Veritaseum's UltraCoin BTC-based smart contracts are: 1. highly flexible - you design your own derivatives yourself using your own parameters via our simple graphical user interface 2. self-executing 3. autonomous 4. unbreachable: we call them, the unbreakable promise! They are backed, fortified and stored by/on the Bitcoin blockchain itself 5. uber-transparent: simple click the "trace transaction" button to find the location and historical travel path of your assets anytime, from anywhere you have an internet connection

Trading Through a Balance Sheet-Based Financial Institution vs. Distributed, Decentralized, P2P Software Concern

It's a matter of risk. This is not a dig at Bitfinex. After looking at their volume (significant) and their offerings (quite impressive given the newness of this industry) the last thing I would ever want to do is to disparage them. As a matter of fact, I give them kudos! Good job, fellas! What I do want to accomplish is the education through the fact that the Bitcoin protocol has given rise to the genesis of a new type of company, with a new business model that can offer a totally new type of product. As you were able to see from above, Veritaseum's UltraCoin offers a very uniquer product with many if not all of the attributes that potential competitors offer, with a slew of attributes that others can't touch. This is done at 1/150th of the price and at much less risk! When dealing with Veritaseum's UltraCoin, you can never get Gox'd because we never have (nor do we want) possession of your coins or fiat - every, at any time. Because we don't user our balance sheet (we are a software company, not a centralized exchange or brokedealer) you:
This is just the beginning of what is capable with bitcoin (and this is pure bitcoin, not altcoins, no tokens, no sidechains, just pure, old fashioned [at least as old as it can be considered] bitcoin) and 2.0 business models. Wait until you see the new stuff we'll be rolling out.
We are in beta, so please be aware of that and the shortcomings that it entails (although it is also my opinion that most bitcoin companies are in beta because bitcoin itself is in beta, as implied above). I implore you to download, and trade with, our:
There's also a lot of BTC industry research available for download as well as our blog which has some of the best fundamental and macro research available on the web. Hardcore traders, investors and speculators should check out my latest piece: It's All Out War, Pt 3: Is the Danish Krone Peg to Euro More Fragile Than Glass Beads? The Danish National Bank Infers So!
Any bitcoin-rich individuals or entities looking to provide liquidity to the system, individuals/compamies who wish to partner, accredited investors looking for a piece of the action (you have to be willing to sign and NDA, we are quite open to working with anybody), or those who simply want to shoot the breeze should feel free to contact us.
Bitcoin 2.0 An example of an UltraCoin smart contract summary
Here's some info about me, my team and what we're doing at Veritaseum:
submitted by Reggie-Middleton to Bitcoin [link] [comments]

**#1 Profit Hacker System - #1 Profit Hacker System Software**

Profit Hacker System
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