Fintech Policy Profile picture
Website in renovation... Brussels-based #knowledgehub & #policy network for #legal, #regulatory & #compliance insights on #Fintech in Europe
20 Apr 19
#Bigdata vs Machine Learning vs Artificial Intelligence
By Irene Aldridge
☝️author High-Frequency Trading: A Practical Guide to #Algorithmic Strategies& #Trading Systems
☝️co-author Real-Time Risk: What Investors Should Know About #Fintech,#highfrequencytrading and FlashCrashes
1. ☝️🧐➿🔢 In traditional #statistics or #econometrics, researchers make assumptions about #data distributions ahead of the analysis
2. 🥇💪#machinelearning = the 1st discipline to apply #efficiency to #problemsolving brought by #computers & their enhanced computational power
3. 🤗➿🔢#ML scientists try to reduce #assumptions about the data as much as possible&let the data (&computers) decide what fits best.
4. ♾➡️🔤🌐#Datascience identifies core characteristics of the data, summarized by what has been known as #characteristic values (#eigenvalues)
Read 6 tweets
15 Apr 19
#Responsibility of #programmers for their #algorithms
😇Shooting stars: from expert advisor to #spoofing criminal
👉Spoofing #algo coder partially acquitted
🤦‍♂️CFTC and FBI fail with indictment of the programmer who developed the algo at the heart of the infamous 2010 #FlashCrash
😇Jitesh Thakkar, the founder and president of Edge Financial Technologies, one of the leading firms for #software development for #algorithmic and #highfrequencytrading #hft, was acquitted on April 9th, 2019 of the count of #conspiracy to commit spoofing.
⚠️Thakkar’s case is the first in the US where a programmer is prosecuted for his involvement in the development of a manipulative algorithm and shows regulators’ willingness to prosecute programmers in addition to the users of such algorithms.
Read 7 tweets
14 Apr 19
London On Track To Become #Global #Fintech #Hub
by @thefintechtimes

🦄#Unicorn=a #firm with >$1 billion #market #capitalisation
🦄29 fintech unicorns worldwide
🦄9 in #SanFrancisco AND 7 in #London
Thread👇
2018 #income #growth increase:
💪£77.1m -> £177.6m #revenue
☝️2018 #job creation : 61% increase
☝️#Salary inflations for #IT pros: 6-8%

#ai #artificialintelligence #crypto
☝️#EU #venturecapital:
1. #London 39%
2. #Berlin 21%
3. #Paris 18%
4. #Stockholm 5%
5. #Barcelona 4%
6. #Amsterdam 4%
7. #Zurich 3%
8. #Copenhagen 2%
9. #Dublin 2%
Read 5 tweets
6 Apr 19
The Financial Stability Board (FSB) published a #Crypto-assets #regulators directory.
5 April 2019
The purpose: provide info on the relevant regulators&authorities in FSB #jurisdictions & international bodies dealing with crypto-asset issues, and the aspects they cover.
👉 fsb.org/2019/04/fsb-pu…

👉 Crypto-assets do not pose a material risk to global financial stability for now.
👉Vigilant monitoring is needed in light of the speed of market developments.
👉Broader policy issues:
1.#Consumer & #investor protection
2.Strong #market integrity #protocols
3. #AML & financing of terrorism (AML/CFT): #regulation, #supervision, implementation of international sanctions
4.#Tax evasion
5.Illegal #securities offerings #ICO
Read 6 tweets
6 Apr 19
A Note To Fellow #Software #Founders: Help Is Always Close At Hand
By Christian Owens (Forbes)
☝️There are tried and tested #solutions so reach out:
1.Stop thinking everything in terms of #competition
2.The world of VC is small so it’s easy to find people you need #advice from
3. #networkeffect& #globalisation: global issue for one company is always a local one for another
👉see P.Thiel “Zero to one”
4. Acknowledge that being a founder is a really, really hard thing to do with your life
☝️Avoid the Dunning-Kruger effect (the lower your ability the better you think you are at it)
Read 4 tweets
6 Apr 19
Stung by Big Fines, Big Banks Beef Up Money-Laundering Controls
By Yalman Onaran (Bloomberg)

The tech-race:
☝️New tech allow regulators better AML detection but then forces banks to use even better tech to detect before the regulators

Thread👇
bloomberg.com/amp/news/artic…
Measures by HSBC
HR👉 HSBC quintupled the number of AML employees to 5,000 (2012-2016)
Tech👉upgraded its #Fintech #technology (#MachineLearning scanning transaction data)
Lobby&learn👉in 2016, hired Jennifer Calvery, the U.S. Treas.Dpt’s top #AML official who fined HSBC in 2012.
👉9 big banks paid a total of $20 billion (2012-2015) for lax AML controls
👉 clients evade taxes or violate U.S. sanctions
👉most of the settlements came with deferred-prosecution agreements and outside monitors
Read 7 tweets
4 Apr 19
To know Aleynikov case is to know their code was made from GitHub open source code bits and pieces in the first place :)
#AI #ML #ArtificialIntelligence #HFT AND #IP #intellectualproperty #github

wsj.com/amp/articles/g…

1. US v. Aleynikov, No. 11-1126, 2nd Cir., 11 avril 2012
Two cases:

1. United States v. Aleynikov, No. 11-1126, 2nd Cir. 2012, 11 avril 2012

2. People v. Aleynikov, 2015 NY Slip Op 25229, 49 Misc 3rd 286, 7 juillet 2015
Read 3 tweets
4 Apr 19
👆#TurnKey,Inc.: #SEC turning the (same)key in the lock

Surprised that commentators think there is anything new in this decision. It is simply a different type of argumentation. It is for the first time a #negative #definition of #ICO #regulation by #securities#laws. Thread👇
👉1. In Munchee Inc., SEC claims (sec.gov/litigation/adm…):
⛔️Munchee has no viable product
⛔️tokens sold are not usable, but will possibly be in the future
⛔️ICO will fund the development of the project
⛔️MUN price will vary AND reasonable expectation of future profits
⛔️#profits (or losses) depend solely on efforts of #Munchee #managers
⛔️#marketing MUN token in the manner to induces the purchasers to believe there is a profit expected solely for buying MUN and reselling it later.
⚠️a positive definition -> this IS a security
Read 10 tweets