Future Scenarios of Decentralised Finance
(DeFi)
Agenda
- DeFi definition & use-cases
- Open vs Closed finance
- Future drivers
- Scenarios
Definition: decentralised finance (DeFi) is an open
financial sector that provides financial services
using software that is built on top of blockchains in
the areas where the traditional financial sector fails.
4
3
2
1
trust source in crises
(banking crises, hyperinflation, currency
crisis or unexpected devaluations)
The main use-cases of (DeFi) sector
tackle global inefficiencies
(2 billion unbaked, expensive
cross-border services, sanctions)
bypass local bans
(e.g.capital outflow and FX controls)
empower creativity
(banking, derivatives, indexes)
closed finance
competence
trust data
AI/ML
blockchain
protocols
oracles
reinventing finance
institutions, inclusion, closed source
softwares
open finance
networks, interoperability, open source
Future driver 1: technological divergence vs convergence
divergence
(blockchain)
convergence
(blockchain+AI)
only 1.7% funds attracted
via token sale is for ML&AI projects
Future driver 2: global compliance vs innovative evasion
only 9.8% funds raised through via STOs
in 1st half 2019.
global compliance
(comply with financial authorities)
innovative evasion
(reinventing, fragmenting services)
Four future scenarios
global compliance
(comply with financial authorities)
innovative evasion
(reinventing, fragmenting services)
divergence
(blockchain)
convergence
(blockchain+AI)
global compliance
(comply with financial authorities)
innovative evasion
(reinventing, fragmenting services)
divergence
(blockchain)
convergence
(blockchain+AI)
Scenario A:
more efficient &
interoperable
networks
Scenario B:
geopolitical wars of
unicorn coins
Scenarios C:
emergence of
financial autonomous
agents
Scenarios D:
market of DeFi robo-
advisors
Four future scenarios
Scenario A:
more efficient & interoperable networks
Ideology: crypto anarchism
(blockchains should replace
institutions)
growth mode: efficiency &
interoperability
Hot technologies: decentralised
oracles, lightning, interoperable
ledgers, etc.
Winners (losers): public
protocols (banks, fin-tech)
Use-cases: alternative trust
system, bypass local bans,
empower oppressed creativity
Scenario B:
geopolitical wars of unicorn coins
Ideology: pure capitalism
(privatisation of monetary
system)
Growth mode:
legal compliance
Hot technologies: stable coins,
federated networks
Use-cases:
global inefficiencies
Winners (losers): unicorns
(fiat currencies) CBCD
Scenarios C: emergence of financial autonomous agents
Hot technologies: federative
learning, ensemble learning, etc.
Growth mode: creative
convergence
Use-cases: alternative
trust system
Ideology: techno futurisms
(technology can do better than
humans)
Winners (losers): decentralised AI
apps (institutions)
TBC
Scenarios D:
market of DeFi robo-advisors
Ideology: humanism (technology
should empower humans)
Growth mode: AI/ML adoption
Hot technologies: federative
learning, ensemble learning, etc.
Use-cases: support people
creativity
Winners (losers): supportive AI
apps (institutions)
Scenario A:
more efficient &
interoperable networks
Scenarios C: emergence
of financial autonomous
agents
Scenarios D:
market of DeFi robo-
advisors
Scenario B:
geopolitical wars of
unicorn coins
Futures are created through scenarios interactions.
global compliance
(comply with financial authorities)
innovative evasion
(reinventing, fragmenting services)
divergence
(blockchain)
convergence
(blockchain+AI)
Scenario A:
more efficient &
interoperable
networks
Scenario B:
geopolitical wars of
unicorn coins
Scenarios C:
emergence of
financial autonomous
agents
Scenarios D:
market of DeFi robo-
advisors
My focus to build AI/ML layer for crypto
finance industry
blue indexes
marketplace of market (crypto) indexes bots
supported by crypto startup builder “Murins Startups” (murins.co)
blue indexes is marketplace for market indexes
bots for long-term retail investors to invest in
market (crypto) indexes created by them or by
other users.
Product: we convert your idea into investable index
3
2
1
you describe market
(choose market category & geography of market)
AI protocol creates index
(portfolio &rebalancing principles)
you & others invest
(AI protocol assembles & rebalance portfolio )
Example
you write “I want invest in proof of
stake protocols located in San
Francisco” or “I want invest in game
tokens which teams located in Europe
Example
AI protocol creates for you 3 market
indexes that suits the best your
investment thesis
Example
You connect to AI protocol to your
exchange account and it as trading bot
assembles portfolio & automatically
rebalance
Team: AI scientist + crypto experts
CEO/CTO strategic director advisor
Dimitri Chupryna
Sandris Murins
Miha Cimperman Matej Senožetnik
coder
leading AI scientists in AI lab of co-founder of
crypto finance startups
co-founder & trader of 1st
tokenised crypto hedge
fund
Luka Stopar
data scientist
autonomous lending portal connected to the TOP DeFi lending protocols
contact: sandris.murins@gmail.com
supported by crypto startup builder “Murins Startups”
CLBT is AI/ML powered meta investment
platform for retail investors to create portfolios
of crypto loans issued on top P2P platforms to
better manage risks & returns.
Solution: decentralised meta platform with AI
protocol for collateralized crypto lending
P2P lending platforms
Users
portfolio
investments
AI/ML
protocol
transfer funds
& select preferences
Team: loan investment + crypto entrepreneurship
Sandris Mūriņš
Strategic director
(crypto venture experience)
Orest Monokandilos
CEO
(10+ years in loan securitisation)
Ingus Staltmanis
Blockchain advisor
(blockchain architect)
Future Scenarios of Decentralised Finance
(DeFi)

Future scenarious of DeFi

  • 1.
    Future Scenarios ofDecentralised Finance (DeFi)
  • 2.
    Agenda - DeFi definition& use-cases - Open vs Closed finance - Future drivers - Scenarios
  • 3.
    Definition: decentralised finance(DeFi) is an open financial sector that provides financial services using software that is built on top of blockchains in the areas where the traditional financial sector fails.
  • 4.
    4 3 2 1 trust source incrises (banking crises, hyperinflation, currency crisis or unexpected devaluations) The main use-cases of (DeFi) sector tackle global inefficiencies (2 billion unbaked, expensive cross-border services, sanctions) bypass local bans (e.g.capital outflow and FX controls) empower creativity (banking, derivatives, indexes)
  • 5.
    closed finance competence trust data AI/ML blockchain protocols oracles reinventingfinance institutions, inclusion, closed source softwares open finance networks, interoperability, open source
  • 6.
    Future driver 1:technological divergence vs convergence divergence (blockchain) convergence (blockchain+AI) only 1.7% funds attracted via token sale is for ML&AI projects
  • 7.
    Future driver 2:global compliance vs innovative evasion only 9.8% funds raised through via STOs in 1st half 2019. global compliance (comply with financial authorities) innovative evasion (reinventing, fragmenting services)
  • 8.
    Four future scenarios globalcompliance (comply with financial authorities) innovative evasion (reinventing, fragmenting services) divergence (blockchain) convergence (blockchain+AI)
  • 9.
    global compliance (comply withfinancial authorities) innovative evasion (reinventing, fragmenting services) divergence (blockchain) convergence (blockchain+AI) Scenario A: more efficient & interoperable networks Scenario B: geopolitical wars of unicorn coins Scenarios C: emergence of financial autonomous agents Scenarios D: market of DeFi robo- advisors Four future scenarios
  • 10.
    Scenario A: more efficient& interoperable networks Ideology: crypto anarchism (blockchains should replace institutions) growth mode: efficiency & interoperability Hot technologies: decentralised oracles, lightning, interoperable ledgers, etc. Winners (losers): public protocols (banks, fin-tech) Use-cases: alternative trust system, bypass local bans, empower oppressed creativity
  • 11.
    Scenario B: geopolitical warsof unicorn coins Ideology: pure capitalism (privatisation of monetary system) Growth mode: legal compliance Hot technologies: stable coins, federated networks Use-cases: global inefficiencies Winners (losers): unicorns (fiat currencies) CBCD
  • 12.
    Scenarios C: emergenceof financial autonomous agents Hot technologies: federative learning, ensemble learning, etc. Growth mode: creative convergence Use-cases: alternative trust system Ideology: techno futurisms (technology can do better than humans) Winners (losers): decentralised AI apps (institutions) TBC
  • 13.
    Scenarios D: market ofDeFi robo-advisors Ideology: humanism (technology should empower humans) Growth mode: AI/ML adoption Hot technologies: federative learning, ensemble learning, etc. Use-cases: support people creativity Winners (losers): supportive AI apps (institutions)
  • 14.
    Scenario A: more efficient& interoperable networks Scenarios C: emergence of financial autonomous agents Scenarios D: market of DeFi robo- advisors Scenario B: geopolitical wars of unicorn coins Futures are created through scenarios interactions.
  • 15.
    global compliance (comply withfinancial authorities) innovative evasion (reinventing, fragmenting services) divergence (blockchain) convergence (blockchain+AI) Scenario A: more efficient & interoperable networks Scenario B: geopolitical wars of unicorn coins Scenarios C: emergence of financial autonomous agents Scenarios D: market of DeFi robo- advisors My focus to build AI/ML layer for crypto finance industry
  • 16.
    blue indexes marketplace ofmarket (crypto) indexes bots supported by crypto startup builder “Murins Startups” (murins.co)
  • 17.
    blue indexes ismarketplace for market indexes bots for long-term retail investors to invest in market (crypto) indexes created by them or by other users.
  • 18.
    Product: we convertyour idea into investable index 3 2 1 you describe market (choose market category & geography of market) AI protocol creates index (portfolio &rebalancing principles) you & others invest (AI protocol assembles & rebalance portfolio ) Example you write “I want invest in proof of stake protocols located in San Francisco” or “I want invest in game tokens which teams located in Europe Example AI protocol creates for you 3 market indexes that suits the best your investment thesis Example You connect to AI protocol to your exchange account and it as trading bot assembles portfolio & automatically rebalance
  • 19.
    Team: AI scientist+ crypto experts CEO/CTO strategic director advisor Dimitri Chupryna Sandris Murins Miha Cimperman Matej Senožetnik coder leading AI scientists in AI lab of co-founder of crypto finance startups co-founder & trader of 1st tokenised crypto hedge fund Luka Stopar data scientist
  • 20.
    autonomous lending portalconnected to the TOP DeFi lending protocols contact: sandris.murins@gmail.com supported by crypto startup builder “Murins Startups”
  • 21.
    CLBT is AI/MLpowered meta investment platform for retail investors to create portfolios of crypto loans issued on top P2P platforms to better manage risks & returns.
  • 22.
    Solution: decentralised metaplatform with AI protocol for collateralized crypto lending P2P lending platforms Users portfolio investments AI/ML protocol transfer funds & select preferences
  • 23.
    Team: loan investment+ crypto entrepreneurship Sandris Mūriņš Strategic director (crypto venture experience) Orest Monokandilos CEO (10+ years in loan securitisation) Ingus Staltmanis Blockchain advisor (blockchain architect)
  • 24.
    Future Scenarios ofDecentralised Finance (DeFi)