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MELON PROTOCOL: A PROTOCOL FOR DIGITAL ASSET MANAGEMENT STRATEGIES
DRAFT
RETO TRINKLER AND MONA EL ISA
Abstract. The Melon protocol is a protocol for digital asset management on the Ethereum platform. It enables par-
ticipants to set up, manage and invest in digital asset management strategies in an open, competitive and decentralised
manner.
1. Introduction
The value and importance of a wide range of digital as-
sets1
has risen dramatically over the last few years. Hence
the question naturally arises how to manage this new and
fast-growing asset class in the most advantageous way.
This could be done by investing in a hedge fund which
specializes in digital assets.
However, the lack of standardisation can make com-
parison of fund performances difficult and fund auditing
practices can be very opaque.
A second deterrent, is the time and high cost required
for setting up and running a hedge fund. This limits the
range of possible hedge fund managers to a comparatively
small group of people. It arguably also limits competi-
tion between hedge funds creating qualitatively less good
hedge fund performances[14].
A third deterrent to investing in a hedge fund is some
of the outdated technological infrastructure, giving room
for a lot of inefficiencies.
Section 2 through 4 of this paper will discuss the gen-
eral mechanics of the Melon protocol. Section 5 through
7 will discuss how the Melon protocol can be used to solve
above objectives of openness, competitiveness and secu-
rity. Finally, section 8 will propose a solution for protocol
development.
2. Assets
To better understand the general mechanics of the
Melon protocol, lets start by defining the term digital asset
management strategy. A digital asset management strat-
egy is, in the context of this paper, regarded as a strategy
on how to manage a portfolio2
. Each portfolio can hold a
variety of digital assets, where these digital assets repre-
sent the value a portfolio can hold.
As a motivation to the challenge ahead, let’s look at a
few examples of these digital assets currently available, or
in development.
For the sake of ease, and to highlight the differentiation
in underlying value, we categorise digital assets into three
sets: Digital assets which gain their value from collateral-
isation of an underlying asset, called collateralised assets.
Digital assets which do not gain their value from collat-
eralisation, called un-collateralised assets. Finally, digital
assets which are derived from existing digital assets called
derivatives.
2.1. Collateralised Assets. Collateralised Assets, are
assets which gain their value from the collateralisation of
real-world assets. Examples are Dai from the Dai Credit
System[13], Dassets[11] from String Technology or t0[12]
from Overstock. An example for a digital asset backed by
a commodity is DGX from Digix[4] which binds the value
of gold to a digital asset.
2.2. Un-collateralised Assets. Un-collateralised assets
are digital assets which gain their value in the scarcity
of the token itself. Examples for un-collateralised assets
are ETH (Ethereum[7]), ETC (Ethereum Classic[6]), REP
(Augur[1]), DGD (Digix[4]) or MKR (Maker[13]). Even-
tually even companies issuing tokens as shares on the
Blockchain will belong to this set.
2.3. Derivatives. The third set of digital assets are
derivatives of other digital assets. In the context of this
work, a derivative is defined as a digital asset which has
its value directly derived from another digital asset. An
example for this set is a contract for difference (CFD) of
an existing digital asset.
In conclusion, the restriction to digital assets will be
with the adoption of Ethereum and the various decen-
tralised applications and services built upon it be less and
less restrictive.
3. Portfolio
Having seen the selection of digital assets waiting to be
managed by up-and-coming Portfolio Managers, let’s now
discuss the general mechanics of how this can be achieved
technically.
Each portfolio consists of a core part and a set of mod-
ules (see figure 1)
3.1. Core. The core part, written in a set of smart-
contracts, can be seen as the part which holds everything
together. The modules, also written in a set of smart-
contracts, can be seen as the auxiliary functionality to
the core part. The core part together with a set of rules
E-mail addresses: (Reto Trinkler) rt@melonport.com, (Mona El Isa) me@melonport.com.
1
Throughout the present work, a digital asset, is regarded as a digital token of value, run and stored on the Ethereum Blockchain.
There is no technical difference assumed between what an asset and what a token is, the terms are interchangeable. However in the context
of portfolio management usually the term asset is used.
2
Throughout the present work, a portfolio is regarded as a finite set of digital assets.
1
MELON PROTOCOL: A PROTOCOL FOR DIGITAL ASSET MANAGEMENT STRATEGIES DRAFT 2
on how the core interacts with its modules constitute the
Melon protocol.
3.2. Modules. The modules provide auxiliary function-
ality to the core part. For example, providing off-chain
data, storing of portfolio relevant data or the executing of
calculations for the portfolio.
The modules are the parts of the portfolio which have
subjective functionality. Through the modular concept
of the portfolio, these subjective parts can be changed.
For example different Portfolio Managers might want to
charge different management fees and apply their own
methods on how to calculate these fees. The modular
concept allows the managers to chose the management
fee module of their liking. Thus they can select the fees
and calculation methodology by simply linking the corre-
sponding module to the core.
Figure 1. Protocol version links existing portfolios and collects licensing fees
Modules can be freely developed by anyone. Develop-
ers can then define a commission that is paid back to them
every time someone uses their module.
The Melon protocol includes the following modules as
a foundation:
Registrar: Links assets to price feeds to trading.
Functionality: A way to build assets specific func-
tionality.
Price Feeds: Provide a price for an asset by taking
one or several data sources into account.
Exchanges: On-chain marketplaces such as
EtherEx[8] or Maker-Market[10], where one or
a set of assets can be traded.
Trading: A set of rules on how trading is permitted.
Management Fee: A gross asset value (see appen-
dix C) independent payment for the Portfolio
Manager.
Performance Fee: A gross asset value (see appen-
dix C) dependent payment for the Portfolio Man-
ager.
In the registrar module, the Portfolio Manager selects
a finite amount of assets as well as a finite amount of ex-
changes on which these assets can be traded. All a Port-
folio Manager can ever do is trade those specific assets
on those specific exchanges. The smart contracts do not
allow funds to be sent in any other way or to any other
accounts.
The functionality module allows a Portfolio Manager to
retain actions or rights and avoid penalization from non-
action (eg. Augur’s REP tokens). These interactions be-
tween token custodian and corresponding smart-contracts
need to be programmed in as it is no longer an individual’s
or non-contract account which controls these funds.
The price feeds module is needed as asset prices, in gen-
eral, tend to be different on different exchanges. This is
because of the inherent way prices are set - a price is set
by demand and supply which constitutes of market par-
ticipants wanting to buy or sell. In this context, the word
market participants also refers to trading algorithms, etc.
In general, market participants reflect a different demand
and supply profile on different exchanges generating differ-
ent bid/ask prices. While it’s true that arbitrageurs keep
the differences small, they remain, for at least as long as
there is a fee to be paid on the execution of trades. A
fee might be a commission to the exchange or broker, or
a fee in form of another execution cost, such as for exam-
ple the gas cost to be paid on the Ethereum network. To
solve the problem of ambiguous prices, the Melon proto-
col will require the Portfolio Manager to choose one price
feed module providing one specific price against which the
assets under management (AUM) are evaluated.
The exchange module specifies an on-chain exchange
where assets can be traded. This is required as it poses
a restriction on where the Portfolio Manager can trade
his/her funds. See also registrar module.
The trading module restricts trading and links to a pre-
selected exchange on which an asset can be traded. For
example, no trade size can be higher than 10% of the
volume traded of this asset. This module is intended to
reduce the amount of order book manipulation in favour
of the Portfolio Manager.
A Portfolio Manager will be able to receive a manage-
ment fee as well as a performance fee. These fees are spec-
ified in the management fee module and the performance
fee module. The management fee is generally calculated
by reference to the assets under management, i.e. the
gross asset value (see appendix C) of the portfolio. The
performance fee is generally calculated by reference to the
increase in the gross asset value. There is usually a high
water mark, which means that if the portfolio performing
below a defined benchmark since inception, the Portfolio
Manager does not get paid a performance fee. Alternative
forms of performance fees are conceivable. For example,
the interval by which the performance fee gets paid out
can be selected by the Portfolio Manager.
Before the deployment of a portfolio, a Portfolio Man-
ager decides which modules he/she would like to use.
Once the portfolio is deployed this then can be seen as
the offering of a legal contract. The contract terms are un-
ambiguously visible and securely held by the Blockchain.
MELON PROTOCOL: A PROTOCOL FOR DIGITAL ASSET MANAGEMENT STRATEGIES DRAFT 3
Therefore, the smart-contract terms are agreed upon by
the investor upon investing in the portfolio.
4. Investing and Redeeming
There are two ways to invest in a portfolio. The first
way is to buy shares of the portfolio on any marketplace on
which they are traded. The second way is to create shares
by investing Ether directly into the respective smart con-
tract of the portfolio.
Similar to investing there are three ways to redeem
from a portfolio. The first way is to sell shares of the
portfolio on any marketplace on which they are traded.
And the second way is to annihilate shares. This can be
done by
• redeeming into a separate portfolio or
• redeeming directly into Ether via a program
trade3
.
4.1. Net Asset Value. Shares of a portfolio are designed
such that they fulfil the following properties:
• Shares are fungible.
• Shares reflect ownership of the portfolio.
• The inherent value of the shares is given by the
value of the underlying assets of the portfolio.
• Share price is relatively independent of invest-
ments and withdrawals made.
Shares will be represented by a smart-contract follow-
ing the Ethereum token standard[5]. Thus they are fun-
gible and tradable on exchanges such as EtherEx[8] or
Maker-Market[10]. Furthermore, Portfolio Managers can
hold and manage shares of other portfolios.
Shares also reflect ownership of the portfolio, where the
formula of ownership is the following:
(1) Ownership =
Shares holding
Total shares in existence
For example if one holds ten out of a hundred total
shares then the ownership is 0.1 or 10%. This is dynamic,
as people invest and redeem the total amount of shares
in existence changes and therefore also the percentage of
ownership.
The inherent share price (see appendix G) is defined by
the net asset value per share (see appendix F) and thus
by the value of the underlying assets.
Every time an Investor invests Ether in a portfolio,
shares are created and every time an Investor redeems
Ether, shares are exchanged against the value of the un-
derlying assets and thereby annihilated. This mechanism
of creating and annihilating shares keeps the share price
relatively independent of investments respective to with-
drawals made.
In conclusion, the inherent share price is set, not by de-
mand, but by performance. Each investor has the ability
to exchange its shares at any time against the value of the
underlying assets.
4.2. Creation. By investing funds F denominated in
Ether, into a portfolio, shares are created. The Investor
sends these funds directly to the smart contract of the
portfolio where they are added to the portfolio hti
m (see
appendix B):





hti
a1
hti
a2
...
hti
an





→





hti
a1
+ F
hti
a2
...
hti
an





Where by convention hti
a1
is the amount of Ether the port-
folio m holds, at time ti.
Then the quantity of shares qti
F created for funds F, at
time ti is calculated. The formula is the following:
(2) qti
F =
F
pti
m
Note, by definition the share price pti
m is independent of
Funds F invested.
The quantity of shares qti
F are then allocated to the
Investor. For the investment to get incorporated takes at
least one block time, i.e. more than 10 to 19 seconds. Dur-
ing this time period the share price might change. How-
ever the Investor will be able to invest via a limit order
hence they have no risk of getting an unexpected price.
4.3. Annihilation. By redeeming funds F denominated
in Ether, from a portfolio, shares are annihilated. The in-
vestor redeems funds F by exchanging shares against the
underlying value they represent.
To request a withdrawal of amount F, one has to with-
draw:
(3) qti
F =
F
pti
m
⇔ F = pti
mqti
F
of shares.
This quantity of shares qti
F represents a percentage of
ownership, called oti
F . The formula for oti
F is the following:
(4) oti
F =
qti
F
Total shares in existence
The Investor now redeems this percentage of all the as-
sets a portfolio holds, directly from the smart contract of
the portfolio. In doing so he/she sets up a new portfolio.
The new portfolio of the Portfolio Manager is thus:





hti
a1
hti
a2
...
hti
an





→ (1 − oti
F )





hti
a1
hti
a2
...
hti
an





Where the separated part, is the part which belongs to
the Investor, redeeming funds:
oti
F





hti
a1
hti
a2
...
hti
an





This separated part can now be seen as the portfolio
of the investor. The investor becomes its own Portfolio
Manager. They can now either decide to manage this new
portfolio to their liking or liquidate the assets to Ether
through a program trade. A program trade is an algo-
rithm that liquidates a portfolio to complete the redeem-
ing process.
Since portfolios separate when redeeming funds, one
cannot directly expect or anticipate any future trades
3A program trade is a trade where orders are entered directly into the market and executed automatically.
MELON PROTOCOL: A PROTOCOL FOR DIGITAL ASSET MANAGEMENT STRATEGIES DRAFT 4
made by the redeeming investor. All one can see on the
Blockchain is the separating of the portfolio. This pro-
cess can be done in a simple and convenient way, where
the investor chooses his/her selling off strategy on an off-
chain server which listens to the Blockchain and trades
accordingly.
4.4. Open and closed-ended portfolios. Generally
one differentiates between two types of portfolios. open-
ended portfolios and closed-ended portfolios. The differ-
ence between the two is that in the former there’s no limit
on how much investors can invest while in the latter there
is. In a closed-ended portfolio, once the investment limit of
the portfolio has been reached the process of creation will
be suspended. At this point, shares can only be bought
on exchanges.
In conclusion, the Investor is always in control of their
investment and can exchange back shares to get the un-
derlying value of the assets without having to ask for per-
mission from the Portfolio Manager or anybody else.
5. Open
As seen in section 4, portfolio share prices are de-
fined by the net asset value per share. This is true for
each portfolio deployed, meaning that share price of all
Melon protocol portfolios are visible and comparable on
the Blockchain. The Portfolio Manger’s managing and
trading track-record is visible and auditable in the same
way.
In addition, all of the Melon protocols’ smart contracts
are open-source4
.
In conclusion, the Melon protocol is an open-source
protocol. Portfolio track-records and performances are
visible and auditable by everyone.
6. Competitive
The competitive gains of the Melon protocol are in the
form of lower cost and time barriers to setting up and
running a portfolio.
The costs and complexity to setting up a portfolio us-
ing the Melon protocol are lower than they are with tradi-
tional asset management, seconds and cents versus months
and millions. Such benefits will favour all investors, but es-
pecially large scale money managers for whom the major-
ity of operating costs will be eliminated (well over 50% of a
typical asset management firm’s costs today are made up
of fund administration and operations infrastructure[9]).
These radical cost savings can be passed on to savers. The
lower operating costs will also enable new up-and-coming
Portfolio Managers to enter the market by reducing min-
imum scale requirements and start up costs.
The cost of running a portfolio on the Blockchain is
equal to the core licensing fees, modular commissions and
the infrastructure costs to be paid on the Ethereum plat-
form (see Figure 2).
The licensing fees are set by the protocol and the mod-
ular fees are set by the module developers. Both of them
are expected to be a fraction of a cent for each usage.
The infrastructure costs are equal to the gas used for
the execution of the underlying smart contracts. The gas
costs are dependent on the gas price set for the transac-
tions and the amount of gas used in executing these smart
contracts[15].
In conclusion, by having low set up requirements and
low costs of running a portfolio one can create a never-
seen-before competitive environment for asset manage-
ment strategies.
Figure 2. Variable Costs of a Melon protocol portfolio
7. Decentralised
A Melon protocol portfolio can be set up, managed and
invested in, using a decentralised technological infrastruc-
ture relying on the Ethereum Blockchain.
In this context, one can differentiate between decen-
tralised storage and decentralised execution.
7.1. Decentralised Storage. All of the Melon proto-
col’s smart-contracts, portfolio track records and assets
are stored on a decentralised Blockchain.
Storing smart-contracts and portfolio track records in a
decentralised way mitigates the risks around single points
of failure and provides open and reliable storage of infor-
mation.
Storing portfolio assets in a decentralised way, reduces
custody risks.
Incidents like the financial crisis of 2008 and the 2013
bank deposit levy in Cyprus have taken a heavy toll on
the trust of centralised custodians. Legislation of bail-ins
in many developed countries doesn’t help either[2][3].
7.2. Decentralised Execution. Execution of the smart-
contracts is done in a decentralised manner using the
Ethereum virtual machine (EVM) which is distributed
onto all nodes connected to the Ethereum network. The
4They are published under https://github.com/melonproject.
MELON PROTOCOL: A PROTOCOL FOR DIGITAL ASSET MANAGEMENT STRATEGIES DRAFT 5
result is generally more efficiency, security and predictabil-
ity. Most notably, counterparty and settlement risks of
trades are reduced significantly.
In conclusion, by having decentralised storage and ex-
ecution one can mitigate some of the potential security
vulnerabilities and market inefficiencies, such as reducing
single points of failure, custody-, counterparty-, and set-
tlement risks.
8. Protocol Development
To build the Melon protocol and strengthen the net-
work effect, there will be a digital token issued. This token
is called the Melon token (MLN) and will be distributed
through a crowd-sale.
Through the usage of the core, licensing fees are gener-
ated. These are collected and proportionally redistributed
back to the Backers of the Melon protocol, i.e. MLN Hold-
ers.
9. Future Directions
To drive adoption, there will be portals5
. These are
user-friendly web applications to access the Melon proto-
col. This will allow users to interact with the protocol
easily.
The value of the protocol is directly correlated with the
value of these portals. The better and easier the portals,
the more licensing fees will be collected and redistributed.
10. Conclusion
The Melon protocol proposed a protocol for digital as-
set management on the Ethereum platform. It enables
participants to set up, manage and invest in digital as-
set management strategies in an open, competitive and
decentralised manner.
11. Acknowledgements
We would like to use this opportunity to express our
gratitude to everyone who supported us throughout the
course of writing this paper.
A special thanks to Garrett Cassidy, Andr´e Wolke, Ro-
man Bischoff, Jorge Mielgo, Sandro Lera, Dylan Grice
and Andrey Ternovsky for their support, feedback and
improvements to this paper.
References
[1] Augur - decentralized prediction market.
http://www.augur.net/. Accessed: 2016-08-26.
[2] Beteiligung der gl¨aubiger an der bankenrettung.
https://www.finma.ch/de/ueberwachung/banken-
und-effektenhaendler/aufsichtsinstrumente/stabilisierungs-
und-abwicklungsplanung/kapitalmassnahmen/.
Accessed: 2016-08-26.
[3] Deal reached on bank “bail-in directive”.
http://www.europarl.europa.eu/news/en/news-
room/20131212IPR30702/Deal-reached-on-bank-
%E2%80%9Cbail-in-directive%E2%80%9D. Ac-
cessed: 2016-08-26.
[4] Digix platform. https://www.dgx.io. Accessed: 2016-
08-26.
[5] Ethereum - token standard.
https://github.com/ethereum/EIPs/issues/20.
Accessed: 2016-08-26.
[6] Ethereum classic. https://ethereumclassic.github.io/.
Accessed: 2016-08-26.
[7] Ethereum platform. https://ethereum.org/. Ac-
cessed: 2016-08-26.
[8] Etherex - decentralized exchange.
https://etherex.org/. Accessed: 2016-08-26.
[9] Hedge fund cost survey.
https://www.altassets.net/pdfs/KPMG%20Hedge
%20Fund%20Survey Sept2008.pdf. Accessed:
2016-08-26.
[10] Maker market. https://github.com/makerdao/maker-
market. Accessed: 2016-08-29.
[11] String technology. http://string.technology/. Ac-
cessed: 2016-08-26.
[12] t0. https://t0.com/home. Accessed: 2016-08-26.
[13] N. M. et al. The Dai Credit System.
https://makerdao.com/dai02.pdf/.
[14] P. Wei, Y. Altshuler, and A. Pentland. Decoding
Social Influence and the Wisdom of the Crowd in Fi-
nancial Trading Network. MIT Media Lab.
[15] D. G. Wood. Ethereum: A Secure De-
centralised Generalised Transaction Ledger.
http://gavwood.com/paper.pdf/.
Appendix A. Terminology
Token: By the term token is meant, a digital token of value adhering to the Ethereum token standard [5].
Portfolio: A collection of smart-contracts, divided into a core smart-contract(s) and into auxiliary smart-contracts
called modules.
Portfolio Manager: Portfolios are managed by one person or a group of persons, referred to as a Portfolio
Manager.
Module: A module is on or a set of smart-contracts which has an auxiliary functionality to the core smart-contract
of the portfolio.
Time Step: The term time step means, the time interval between blocks on the Ethereum Blockchain. Where
time is taken from the block timestamp issued by the miner. For example (ti, ti+1] is the time between after
block with timestamp ti and the following block with timestamp ti+1.
5
One example for a portal is the Melon portal: https://melonport.com.
MELON PROTOCOL: A PROTOCOL FOR DIGITAL ASSET MANAGEMENT STRATEGIES DRAFT 6
Appendix B. Portfolio
Formally we expand the portfolio as follows. Assuming there are n ∈ N digital assets available. This constitutes the
following vector set a of assets:
(5) a =



a1
...
an



where ak is the k-th available asset, for k ∈ N. By convention the first asset a1 represents Ether.
Then the portfolio hti
m, is defined as the vector set of asset holdings of a portfolio m at time ti.
(6) hti
m =



hti
a1
...
hti
an


 ∈ Rn
≥0
where hti
ak
is the amount, in token units of ak, a portfolio m holds at time ti, for k ∈ N.
Appendix C. Gross Asset Value
Let pti
be the vector set of asset prices, at time ti. Then pti
is:
(7) pti
=



pti
a1
...
pti
an


 ∈ Rn
≥0
where pti
ak
is the price per token unit of asset ak in Ether, at time ti, for k ∈ N.
Note, since by convention a1 represents Ether, and the prices are given in Ether the first price pti
a1
is always equal to
one.
The Gross Asset Value or GAV ˆvti
hm
in Ether of portfolio hti
m at time ti is:
(8) ˆvti
hm
= pti
, hti
m =
n
k=1
pti
ak
hti
ak
with the standard scalar product on Rn
. The GAV can be seen as the gross value of the portfolio.
Appendix D. Net Asset Value
The Net Asset Value or NAV vti
hm
in Ether of portfolio hti
m at time ti is:
(9) vti
hm
= ˆvti
hm
− Management Feesti
− Performance Feesti
Management Feesti
resp. Performance Feesti
is the management resp. performance fees given to the Portfolio Man-
ager for timestep ti.
Appendix E. Delta
To define the Delta ∆(ti,tj ] of a portfolio m, within the time (ti, tj], where ti < tj, we first define the Delta of ∆(ti,ti+1],
i.e. the Delta of a single time step. Let be:
t0 = time of contract creation
tl = time of first investment
= min
tk∈[t0,ti]
{v
tk
hm
= 0}
Iti
= Sum of all investments within (ti−1, ti]
Wti
= Sum of all withdrawals within (ti−1, ti]
Where both Iti
and Wti
is a value in Ether. Then the Delta of a single time step is:
(10) ∆(ti,ti+1] =
v
ti+1
hm
− Iti+1
+ Wti+1
vti
hm
By design, the Delta of a portfolio, is independent of funds invested or withdrawn within the time (ti, ti+1]. By
factoring together these Deltas of single time steps we get the general definition of the Delta ∆(ti,tj ] of a portfolio m as:
(11) ∆(ti,tj ] =



1 if tj ≤ tl
j−1
k=l
∆(tk,tk+1] if ti < tl < tj ∧ v
tk
hm
= 0, k ∈ {l, l + 1, . . . , j − 1}
j−1
k=i
∆(tk,tk+1] if tl ≤ ti ∧ v
tk
hm
= 0, k ∈ {i, i + 1, . . . , j − 1}
0 otherwise
MELON PROTOCOL: A PROTOCOL FOR DIGITAL ASSET MANAGEMENT STRATEGIES DRAFT 7
Note, the case where ti < tl < tj and v
tk
hm
= 0, for a k ∈ {l, l + 1, . . . , j − 1} is when the first investment has been made
but the funds have been withdrawn completely at some point within time (tl, tj−1]. The GAV in this case can not be
calculated by factoring together Deltas of single time steps, as this would mean a division through zero. The Delta in
this case is set to 0 for all times, even if the portfolio receives investments in the future. The same is true for the second
similar case where tl ≤ ti and v
tk
hm
= 0, for a k ∈ {i, i + 1, . . . , j − 1}.
By induction, we can see that the Delta ∆(ti,tj ] remains independent of funds invested or withdrawn within the time
(ti, tj].
Appendix F. Net Asset Value per Share
Expressed mathematically the NAV per share pti
m of portfolio m, at time ti is:
(12) pti
m = ∆(t0,ti]
where t0 is the time of contract creation. The price pti
m is denominated in Ether.
Appendix G. Share Price
The share price is defined by the Net Asset Value per Share (see appendix F) and is denominated in Ether.

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Cryptofinance melon protocol - a protocol for digital asset management strategies ethereum

  • 1. MELON PROTOCOL: A PROTOCOL FOR DIGITAL ASSET MANAGEMENT STRATEGIES DRAFT RETO TRINKLER AND MONA EL ISA Abstract. The Melon protocol is a protocol for digital asset management on the Ethereum platform. It enables par- ticipants to set up, manage and invest in digital asset management strategies in an open, competitive and decentralised manner. 1. Introduction The value and importance of a wide range of digital as- sets1 has risen dramatically over the last few years. Hence the question naturally arises how to manage this new and fast-growing asset class in the most advantageous way. This could be done by investing in a hedge fund which specializes in digital assets. However, the lack of standardisation can make com- parison of fund performances difficult and fund auditing practices can be very opaque. A second deterrent, is the time and high cost required for setting up and running a hedge fund. This limits the range of possible hedge fund managers to a comparatively small group of people. It arguably also limits competi- tion between hedge funds creating qualitatively less good hedge fund performances[14]. A third deterrent to investing in a hedge fund is some of the outdated technological infrastructure, giving room for a lot of inefficiencies. Section 2 through 4 of this paper will discuss the gen- eral mechanics of the Melon protocol. Section 5 through 7 will discuss how the Melon protocol can be used to solve above objectives of openness, competitiveness and secu- rity. Finally, section 8 will propose a solution for protocol development. 2. Assets To better understand the general mechanics of the Melon protocol, lets start by defining the term digital asset management strategy. A digital asset management strat- egy is, in the context of this paper, regarded as a strategy on how to manage a portfolio2 . Each portfolio can hold a variety of digital assets, where these digital assets repre- sent the value a portfolio can hold. As a motivation to the challenge ahead, let’s look at a few examples of these digital assets currently available, or in development. For the sake of ease, and to highlight the differentiation in underlying value, we categorise digital assets into three sets: Digital assets which gain their value from collateral- isation of an underlying asset, called collateralised assets. Digital assets which do not gain their value from collat- eralisation, called un-collateralised assets. Finally, digital assets which are derived from existing digital assets called derivatives. 2.1. Collateralised Assets. Collateralised Assets, are assets which gain their value from the collateralisation of real-world assets. Examples are Dai from the Dai Credit System[13], Dassets[11] from String Technology or t0[12] from Overstock. An example for a digital asset backed by a commodity is DGX from Digix[4] which binds the value of gold to a digital asset. 2.2. Un-collateralised Assets. Un-collateralised assets are digital assets which gain their value in the scarcity of the token itself. Examples for un-collateralised assets are ETH (Ethereum[7]), ETC (Ethereum Classic[6]), REP (Augur[1]), DGD (Digix[4]) or MKR (Maker[13]). Even- tually even companies issuing tokens as shares on the Blockchain will belong to this set. 2.3. Derivatives. The third set of digital assets are derivatives of other digital assets. In the context of this work, a derivative is defined as a digital asset which has its value directly derived from another digital asset. An example for this set is a contract for difference (CFD) of an existing digital asset. In conclusion, the restriction to digital assets will be with the adoption of Ethereum and the various decen- tralised applications and services built upon it be less and less restrictive. 3. Portfolio Having seen the selection of digital assets waiting to be managed by up-and-coming Portfolio Managers, let’s now discuss the general mechanics of how this can be achieved technically. Each portfolio consists of a core part and a set of mod- ules (see figure 1) 3.1. Core. The core part, written in a set of smart- contracts, can be seen as the part which holds everything together. The modules, also written in a set of smart- contracts, can be seen as the auxiliary functionality to the core part. The core part together with a set of rules E-mail addresses: (Reto Trinkler) rt@melonport.com, (Mona El Isa) me@melonport.com. 1 Throughout the present work, a digital asset, is regarded as a digital token of value, run and stored on the Ethereum Blockchain. There is no technical difference assumed between what an asset and what a token is, the terms are interchangeable. However in the context of portfolio management usually the term asset is used. 2 Throughout the present work, a portfolio is regarded as a finite set of digital assets. 1
  • 2. MELON PROTOCOL: A PROTOCOL FOR DIGITAL ASSET MANAGEMENT STRATEGIES DRAFT 2 on how the core interacts with its modules constitute the Melon protocol. 3.2. Modules. The modules provide auxiliary function- ality to the core part. For example, providing off-chain data, storing of portfolio relevant data or the executing of calculations for the portfolio. The modules are the parts of the portfolio which have subjective functionality. Through the modular concept of the portfolio, these subjective parts can be changed. For example different Portfolio Managers might want to charge different management fees and apply their own methods on how to calculate these fees. The modular concept allows the managers to chose the management fee module of their liking. Thus they can select the fees and calculation methodology by simply linking the corre- sponding module to the core. Figure 1. Protocol version links existing portfolios and collects licensing fees Modules can be freely developed by anyone. Develop- ers can then define a commission that is paid back to them every time someone uses their module. The Melon protocol includes the following modules as a foundation: Registrar: Links assets to price feeds to trading. Functionality: A way to build assets specific func- tionality. Price Feeds: Provide a price for an asset by taking one or several data sources into account. Exchanges: On-chain marketplaces such as EtherEx[8] or Maker-Market[10], where one or a set of assets can be traded. Trading: A set of rules on how trading is permitted. Management Fee: A gross asset value (see appen- dix C) independent payment for the Portfolio Manager. Performance Fee: A gross asset value (see appen- dix C) dependent payment for the Portfolio Man- ager. In the registrar module, the Portfolio Manager selects a finite amount of assets as well as a finite amount of ex- changes on which these assets can be traded. All a Port- folio Manager can ever do is trade those specific assets on those specific exchanges. The smart contracts do not allow funds to be sent in any other way or to any other accounts. The functionality module allows a Portfolio Manager to retain actions or rights and avoid penalization from non- action (eg. Augur’s REP tokens). These interactions be- tween token custodian and corresponding smart-contracts need to be programmed in as it is no longer an individual’s or non-contract account which controls these funds. The price feeds module is needed as asset prices, in gen- eral, tend to be different on different exchanges. This is because of the inherent way prices are set - a price is set by demand and supply which constitutes of market par- ticipants wanting to buy or sell. In this context, the word market participants also refers to trading algorithms, etc. In general, market participants reflect a different demand and supply profile on different exchanges generating differ- ent bid/ask prices. While it’s true that arbitrageurs keep the differences small, they remain, for at least as long as there is a fee to be paid on the execution of trades. A fee might be a commission to the exchange or broker, or a fee in form of another execution cost, such as for exam- ple the gas cost to be paid on the Ethereum network. To solve the problem of ambiguous prices, the Melon proto- col will require the Portfolio Manager to choose one price feed module providing one specific price against which the assets under management (AUM) are evaluated. The exchange module specifies an on-chain exchange where assets can be traded. This is required as it poses a restriction on where the Portfolio Manager can trade his/her funds. See also registrar module. The trading module restricts trading and links to a pre- selected exchange on which an asset can be traded. For example, no trade size can be higher than 10% of the volume traded of this asset. This module is intended to reduce the amount of order book manipulation in favour of the Portfolio Manager. A Portfolio Manager will be able to receive a manage- ment fee as well as a performance fee. These fees are spec- ified in the management fee module and the performance fee module. The management fee is generally calculated by reference to the assets under management, i.e. the gross asset value (see appendix C) of the portfolio. The performance fee is generally calculated by reference to the increase in the gross asset value. There is usually a high water mark, which means that if the portfolio performing below a defined benchmark since inception, the Portfolio Manager does not get paid a performance fee. Alternative forms of performance fees are conceivable. For example, the interval by which the performance fee gets paid out can be selected by the Portfolio Manager. Before the deployment of a portfolio, a Portfolio Man- ager decides which modules he/she would like to use. Once the portfolio is deployed this then can be seen as the offering of a legal contract. The contract terms are un- ambiguously visible and securely held by the Blockchain.
  • 3. MELON PROTOCOL: A PROTOCOL FOR DIGITAL ASSET MANAGEMENT STRATEGIES DRAFT 3 Therefore, the smart-contract terms are agreed upon by the investor upon investing in the portfolio. 4. Investing and Redeeming There are two ways to invest in a portfolio. The first way is to buy shares of the portfolio on any marketplace on which they are traded. The second way is to create shares by investing Ether directly into the respective smart con- tract of the portfolio. Similar to investing there are three ways to redeem from a portfolio. The first way is to sell shares of the portfolio on any marketplace on which they are traded. And the second way is to annihilate shares. This can be done by • redeeming into a separate portfolio or • redeeming directly into Ether via a program trade3 . 4.1. Net Asset Value. Shares of a portfolio are designed such that they fulfil the following properties: • Shares are fungible. • Shares reflect ownership of the portfolio. • The inherent value of the shares is given by the value of the underlying assets of the portfolio. • Share price is relatively independent of invest- ments and withdrawals made. Shares will be represented by a smart-contract follow- ing the Ethereum token standard[5]. Thus they are fun- gible and tradable on exchanges such as EtherEx[8] or Maker-Market[10]. Furthermore, Portfolio Managers can hold and manage shares of other portfolios. Shares also reflect ownership of the portfolio, where the formula of ownership is the following: (1) Ownership = Shares holding Total shares in existence For example if one holds ten out of a hundred total shares then the ownership is 0.1 or 10%. This is dynamic, as people invest and redeem the total amount of shares in existence changes and therefore also the percentage of ownership. The inherent share price (see appendix G) is defined by the net asset value per share (see appendix F) and thus by the value of the underlying assets. Every time an Investor invests Ether in a portfolio, shares are created and every time an Investor redeems Ether, shares are exchanged against the value of the un- derlying assets and thereby annihilated. This mechanism of creating and annihilating shares keeps the share price relatively independent of investments respective to with- drawals made. In conclusion, the inherent share price is set, not by de- mand, but by performance. Each investor has the ability to exchange its shares at any time against the value of the underlying assets. 4.2. Creation. By investing funds F denominated in Ether, into a portfolio, shares are created. The Investor sends these funds directly to the smart contract of the portfolio where they are added to the portfolio hti m (see appendix B):      hti a1 hti a2 ... hti an      →      hti a1 + F hti a2 ... hti an      Where by convention hti a1 is the amount of Ether the port- folio m holds, at time ti. Then the quantity of shares qti F created for funds F, at time ti is calculated. The formula is the following: (2) qti F = F pti m Note, by definition the share price pti m is independent of Funds F invested. The quantity of shares qti F are then allocated to the Investor. For the investment to get incorporated takes at least one block time, i.e. more than 10 to 19 seconds. Dur- ing this time period the share price might change. How- ever the Investor will be able to invest via a limit order hence they have no risk of getting an unexpected price. 4.3. Annihilation. By redeeming funds F denominated in Ether, from a portfolio, shares are annihilated. The in- vestor redeems funds F by exchanging shares against the underlying value they represent. To request a withdrawal of amount F, one has to with- draw: (3) qti F = F pti m ⇔ F = pti mqti F of shares. This quantity of shares qti F represents a percentage of ownership, called oti F . The formula for oti F is the following: (4) oti F = qti F Total shares in existence The Investor now redeems this percentage of all the as- sets a portfolio holds, directly from the smart contract of the portfolio. In doing so he/she sets up a new portfolio. The new portfolio of the Portfolio Manager is thus:      hti a1 hti a2 ... hti an      → (1 − oti F )      hti a1 hti a2 ... hti an      Where the separated part, is the part which belongs to the Investor, redeeming funds: oti F      hti a1 hti a2 ... hti an      This separated part can now be seen as the portfolio of the investor. The investor becomes its own Portfolio Manager. They can now either decide to manage this new portfolio to their liking or liquidate the assets to Ether through a program trade. A program trade is an algo- rithm that liquidates a portfolio to complete the redeem- ing process. Since portfolios separate when redeeming funds, one cannot directly expect or anticipate any future trades 3A program trade is a trade where orders are entered directly into the market and executed automatically.
  • 4. MELON PROTOCOL: A PROTOCOL FOR DIGITAL ASSET MANAGEMENT STRATEGIES DRAFT 4 made by the redeeming investor. All one can see on the Blockchain is the separating of the portfolio. This pro- cess can be done in a simple and convenient way, where the investor chooses his/her selling off strategy on an off- chain server which listens to the Blockchain and trades accordingly. 4.4. Open and closed-ended portfolios. Generally one differentiates between two types of portfolios. open- ended portfolios and closed-ended portfolios. The differ- ence between the two is that in the former there’s no limit on how much investors can invest while in the latter there is. In a closed-ended portfolio, once the investment limit of the portfolio has been reached the process of creation will be suspended. At this point, shares can only be bought on exchanges. In conclusion, the Investor is always in control of their investment and can exchange back shares to get the un- derlying value of the assets without having to ask for per- mission from the Portfolio Manager or anybody else. 5. Open As seen in section 4, portfolio share prices are de- fined by the net asset value per share. This is true for each portfolio deployed, meaning that share price of all Melon protocol portfolios are visible and comparable on the Blockchain. The Portfolio Manger’s managing and trading track-record is visible and auditable in the same way. In addition, all of the Melon protocols’ smart contracts are open-source4 . In conclusion, the Melon protocol is an open-source protocol. Portfolio track-records and performances are visible and auditable by everyone. 6. Competitive The competitive gains of the Melon protocol are in the form of lower cost and time barriers to setting up and running a portfolio. The costs and complexity to setting up a portfolio us- ing the Melon protocol are lower than they are with tradi- tional asset management, seconds and cents versus months and millions. Such benefits will favour all investors, but es- pecially large scale money managers for whom the major- ity of operating costs will be eliminated (well over 50% of a typical asset management firm’s costs today are made up of fund administration and operations infrastructure[9]). These radical cost savings can be passed on to savers. The lower operating costs will also enable new up-and-coming Portfolio Managers to enter the market by reducing min- imum scale requirements and start up costs. The cost of running a portfolio on the Blockchain is equal to the core licensing fees, modular commissions and the infrastructure costs to be paid on the Ethereum plat- form (see Figure 2). The licensing fees are set by the protocol and the mod- ular fees are set by the module developers. Both of them are expected to be a fraction of a cent for each usage. The infrastructure costs are equal to the gas used for the execution of the underlying smart contracts. The gas costs are dependent on the gas price set for the transac- tions and the amount of gas used in executing these smart contracts[15]. In conclusion, by having low set up requirements and low costs of running a portfolio one can create a never- seen-before competitive environment for asset manage- ment strategies. Figure 2. Variable Costs of a Melon protocol portfolio 7. Decentralised A Melon protocol portfolio can be set up, managed and invested in, using a decentralised technological infrastruc- ture relying on the Ethereum Blockchain. In this context, one can differentiate between decen- tralised storage and decentralised execution. 7.1. Decentralised Storage. All of the Melon proto- col’s smart-contracts, portfolio track records and assets are stored on a decentralised Blockchain. Storing smart-contracts and portfolio track records in a decentralised way mitigates the risks around single points of failure and provides open and reliable storage of infor- mation. Storing portfolio assets in a decentralised way, reduces custody risks. Incidents like the financial crisis of 2008 and the 2013 bank deposit levy in Cyprus have taken a heavy toll on the trust of centralised custodians. Legislation of bail-ins in many developed countries doesn’t help either[2][3]. 7.2. Decentralised Execution. Execution of the smart- contracts is done in a decentralised manner using the Ethereum virtual machine (EVM) which is distributed onto all nodes connected to the Ethereum network. The 4They are published under https://github.com/melonproject.
  • 5. MELON PROTOCOL: A PROTOCOL FOR DIGITAL ASSET MANAGEMENT STRATEGIES DRAFT 5 result is generally more efficiency, security and predictabil- ity. Most notably, counterparty and settlement risks of trades are reduced significantly. In conclusion, by having decentralised storage and ex- ecution one can mitigate some of the potential security vulnerabilities and market inefficiencies, such as reducing single points of failure, custody-, counterparty-, and set- tlement risks. 8. Protocol Development To build the Melon protocol and strengthen the net- work effect, there will be a digital token issued. This token is called the Melon token (MLN) and will be distributed through a crowd-sale. Through the usage of the core, licensing fees are gener- ated. These are collected and proportionally redistributed back to the Backers of the Melon protocol, i.e. MLN Hold- ers. 9. Future Directions To drive adoption, there will be portals5 . These are user-friendly web applications to access the Melon proto- col. This will allow users to interact with the protocol easily. The value of the protocol is directly correlated with the value of these portals. The better and easier the portals, the more licensing fees will be collected and redistributed. 10. Conclusion The Melon protocol proposed a protocol for digital as- set management on the Ethereum platform. It enables participants to set up, manage and invest in digital as- set management strategies in an open, competitive and decentralised manner. 11. Acknowledgements We would like to use this opportunity to express our gratitude to everyone who supported us throughout the course of writing this paper. A special thanks to Garrett Cassidy, Andr´e Wolke, Ro- man Bischoff, Jorge Mielgo, Sandro Lera, Dylan Grice and Andrey Ternovsky for their support, feedback and improvements to this paper. References [1] Augur - decentralized prediction market. http://www.augur.net/. Accessed: 2016-08-26. [2] Beteiligung der gl¨aubiger an der bankenrettung. https://www.finma.ch/de/ueberwachung/banken- und-effektenhaendler/aufsichtsinstrumente/stabilisierungs- und-abwicklungsplanung/kapitalmassnahmen/. Accessed: 2016-08-26. [3] Deal reached on bank “bail-in directive”. http://www.europarl.europa.eu/news/en/news- room/20131212IPR30702/Deal-reached-on-bank- %E2%80%9Cbail-in-directive%E2%80%9D. Ac- cessed: 2016-08-26. [4] Digix platform. https://www.dgx.io. Accessed: 2016- 08-26. [5] Ethereum - token standard. https://github.com/ethereum/EIPs/issues/20. Accessed: 2016-08-26. [6] Ethereum classic. https://ethereumclassic.github.io/. Accessed: 2016-08-26. [7] Ethereum platform. https://ethereum.org/. Ac- cessed: 2016-08-26. [8] Etherex - decentralized exchange. https://etherex.org/. Accessed: 2016-08-26. [9] Hedge fund cost survey. https://www.altassets.net/pdfs/KPMG%20Hedge %20Fund%20Survey Sept2008.pdf. Accessed: 2016-08-26. [10] Maker market. https://github.com/makerdao/maker- market. Accessed: 2016-08-29. [11] String technology. http://string.technology/. Ac- cessed: 2016-08-26. [12] t0. https://t0.com/home. Accessed: 2016-08-26. [13] N. M. et al. The Dai Credit System. https://makerdao.com/dai02.pdf/. [14] P. Wei, Y. Altshuler, and A. Pentland. Decoding Social Influence and the Wisdom of the Crowd in Fi- nancial Trading Network. MIT Media Lab. [15] D. G. Wood. Ethereum: A Secure De- centralised Generalised Transaction Ledger. http://gavwood.com/paper.pdf/. Appendix A. Terminology Token: By the term token is meant, a digital token of value adhering to the Ethereum token standard [5]. Portfolio: A collection of smart-contracts, divided into a core smart-contract(s) and into auxiliary smart-contracts called modules. Portfolio Manager: Portfolios are managed by one person or a group of persons, referred to as a Portfolio Manager. Module: A module is on or a set of smart-contracts which has an auxiliary functionality to the core smart-contract of the portfolio. Time Step: The term time step means, the time interval between blocks on the Ethereum Blockchain. Where time is taken from the block timestamp issued by the miner. For example (ti, ti+1] is the time between after block with timestamp ti and the following block with timestamp ti+1. 5 One example for a portal is the Melon portal: https://melonport.com.
  • 6. MELON PROTOCOL: A PROTOCOL FOR DIGITAL ASSET MANAGEMENT STRATEGIES DRAFT 6 Appendix B. Portfolio Formally we expand the portfolio as follows. Assuming there are n ∈ N digital assets available. This constitutes the following vector set a of assets: (5) a =    a1 ... an    where ak is the k-th available asset, for k ∈ N. By convention the first asset a1 represents Ether. Then the portfolio hti m, is defined as the vector set of asset holdings of a portfolio m at time ti. (6) hti m =    hti a1 ... hti an    ∈ Rn ≥0 where hti ak is the amount, in token units of ak, a portfolio m holds at time ti, for k ∈ N. Appendix C. Gross Asset Value Let pti be the vector set of asset prices, at time ti. Then pti is: (7) pti =    pti a1 ... pti an    ∈ Rn ≥0 where pti ak is the price per token unit of asset ak in Ether, at time ti, for k ∈ N. Note, since by convention a1 represents Ether, and the prices are given in Ether the first price pti a1 is always equal to one. The Gross Asset Value or GAV ˆvti hm in Ether of portfolio hti m at time ti is: (8) ˆvti hm = pti , hti m = n k=1 pti ak hti ak with the standard scalar product on Rn . The GAV can be seen as the gross value of the portfolio. Appendix D. Net Asset Value The Net Asset Value or NAV vti hm in Ether of portfolio hti m at time ti is: (9) vti hm = ˆvti hm − Management Feesti − Performance Feesti Management Feesti resp. Performance Feesti is the management resp. performance fees given to the Portfolio Man- ager for timestep ti. Appendix E. Delta To define the Delta ∆(ti,tj ] of a portfolio m, within the time (ti, tj], where ti < tj, we first define the Delta of ∆(ti,ti+1], i.e. the Delta of a single time step. Let be: t0 = time of contract creation tl = time of first investment = min tk∈[t0,ti] {v tk hm = 0} Iti = Sum of all investments within (ti−1, ti] Wti = Sum of all withdrawals within (ti−1, ti] Where both Iti and Wti is a value in Ether. Then the Delta of a single time step is: (10) ∆(ti,ti+1] = v ti+1 hm − Iti+1 + Wti+1 vti hm By design, the Delta of a portfolio, is independent of funds invested or withdrawn within the time (ti, ti+1]. By factoring together these Deltas of single time steps we get the general definition of the Delta ∆(ti,tj ] of a portfolio m as: (11) ∆(ti,tj ] =    1 if tj ≤ tl j−1 k=l ∆(tk,tk+1] if ti < tl < tj ∧ v tk hm = 0, k ∈ {l, l + 1, . . . , j − 1} j−1 k=i ∆(tk,tk+1] if tl ≤ ti ∧ v tk hm = 0, k ∈ {i, i + 1, . . . , j − 1} 0 otherwise
  • 7. MELON PROTOCOL: A PROTOCOL FOR DIGITAL ASSET MANAGEMENT STRATEGIES DRAFT 7 Note, the case where ti < tl < tj and v tk hm = 0, for a k ∈ {l, l + 1, . . . , j − 1} is when the first investment has been made but the funds have been withdrawn completely at some point within time (tl, tj−1]. The GAV in this case can not be calculated by factoring together Deltas of single time steps, as this would mean a division through zero. The Delta in this case is set to 0 for all times, even if the portfolio receives investments in the future. The same is true for the second similar case where tl ≤ ti and v tk hm = 0, for a k ∈ {i, i + 1, . . . , j − 1}. By induction, we can see that the Delta ∆(ti,tj ] remains independent of funds invested or withdrawn within the time (ti, tj]. Appendix F. Net Asset Value per Share Expressed mathematically the NAV per share pti m of portfolio m, at time ti is: (12) pti m = ∆(t0,ti] where t0 is the time of contract creation. The price pti m is denominated in Ether. Appendix G. Share Price The share price is defined by the Net Asset Value per Share (see appendix F) and is denominated in Ether.