Trading bots are rising in popularity. The purpose of this competition is to create a crypto quantitative trading bot integrated on the most popular crypto exchanges (Binance, Bitstamp, Kraken, etc). The strategy is to recognize price patterns to optimize return and to take advantage of the diversification to reduce the risk associated with a specific crypto currency. The winning strategies can be licensed to become trading bots for cryptos.

About the sponsor

NapBots is a trademark of Napoleon Crypto Group. NapBots is a trading bot platform that designs profitable trading strategies and makes them available in a unique marketplace. It also provides automated execution for users on major crypto platforms through API connection. Alongside NapBots, Napoleon Crypto fully owns and operates, Napoleon AM, one of the first regulated asset managers in France that is dedicated to crypto solutions



You must build a dynamic long only allocation between Bitcoin, Ether, Litecoin, XRP and Tether with the objective to outperform a buy and hold bitcoin strategy.

Your objective is to maximize the Sharpe ratio of your portfolio but also to minimize the drawdown. These 2 metrics will be taken into consideration to select the winner(s) along with the robustness of the code (overfitting measure, clarity of the algo, quality of the comments in the notebook).

Use the tutorial notebook to get started:

Investment Universe

The Investment Universe is composed of the following tickers:

Ticker Crypto currency
BTCUSD Bitcoin
ETHUSD Ethereum
LTCUSD Litecoin


The only available input data for this competition are:

  • BB Live, Open Price, High Price, Low Price, Close Price of the crypto currencies. BB Live refers to the investable index of the respective crypto currencies. Have a look at the investable assets section under this page for more information.

The data can be called using the getTickersCryptoSelector function (available soon).

Ticker Field Description
BTCUSD BB Live, OHLC Bitcoin
ETHUSD BB Live, OHLC Ethereum
LTCUSD BB Live, OHLC Litecoin


No benchmark (your implicit benchmark is a cash position in US dollars).


Strategy Constraints
(1) Sum of all weights = 100% Accept-icon.png
(2) Max weight per crypto <= 50% Accept-icon.png
(3) First Signal generated before 2017-04-01 Accept-icon.png
(4) Sharpe Ratio > 1.5 Accept-icon.png
(5) No Lookahead bias Accept-icon.png
(6) Models to be run under 30 seconds Accept-icon.png
(7) Notebook and payout documentation* Accept-icon.png

*Additional notes:

  • All time series data has to be called via the DataFeatures object - no data calls in your payout.
  • Payout and its dependencies have to be attached and properly documented.
  • Short summary of your model to be written at the start of the notebook -- Summary can include model used, why the model was selected, rationale for any data processing done, parameter selection etc...
  • Models will need to be ran under 30 seconds and include a lastN parameter (refer to tutorial notebook)
  • Only notebooks that are well documented, code with clear comments will be accepted. The notebook need to explain the rationale of your approach and why you are using the techniques. A lack of clear documentation can induce disqualification even if your version of notebook has been accepted, make your code easily readable and clear to understand, create functions or classes to make your notebook cleaner. Also, put potential references in your notebooks.

Please also have a look at the payout pitfalls page for common issues faced by users.

Strategy transactions

Transaction costs: 10 basis point (bp) of the amount being transacted.

Transaction frequency: The maximum transaction frequency is daily (no intraday trades). All trades are executed at market defined close price set at UTC Universal Time Coordinated.

Transaction signals: Transaction signals must be based on data available at the close-of-business day. Signals are 'executed' the same day following the Lag 0 model convention.

Backtest period

The in-sample period runs from 1 Jan 2017 to 31 Dec 2020.

Note: Once your first submission is approved, you can revise it as much as you want.


You must use Notebook to submit your solution. You can only submit one notebook. However, there is no limitation in the number of revisions you can make on a submitted notebook. If the solution follows a theoretical or academic paper, the participants are encouraged to attach the document with the submission, any relevant document (own paper or other document) to explain the approach used will increase the robustness scoring.

Please visit our Submissions page for all details on how to submit.


The strategies will be ranked based on the weighted arithmetic mean of the following three rankings:

Performance Metrics Metric ranking Weight
Sharpe Ratio SR 30%
Maximum Drawdown DR 30%
Robustness R 40%


  • The out-of-sample period will not be disclosed.
  • If there are multiple versions of the same notebook, only the latest version will be taken into consideration.


The strategy is ranked according to the different metrics as follow

  • Sharpe ratio: 2nd
  • Maximum Drawdown: 10th
  • Robustness: 4th

Its average ranking will be (30% x SR) + (30% x MD) + (40% x R) = (0.4 x 2) + (0.4 x 10) + (0.2 x 4) = 5.6 to be compared with other strategies.



The total prizes in euros for the winner are:

  • Champion: EUR 6,000 or in crypto currencies equivalent at the payment date
  • First runner-up: EUR 3,000 or in crypto currencies equivalent at the payment date
  • Second runner-up: EUR 1,000 or in crypto currencies equivalent at the payment date

Note: If there is more than one person per team, the payment will be split to each individual team participant equally.

You will also have the opportunity to get your strategy licensed by the Sponsor looking for such crypto strategies.


Alphathon Starts

Monday 03, May 2021.

Research Ends

Wednesday 16, June 2021.


The competition will be open to any participant (academic or non-academic). You can register as:

  • Individual: One person.
  • Team: A team is a group of individuals which have registered to participate in the Competition. A Team can be composed of 2 to 3 individuals.

You are not allowed to participate simultaneously as Individual and Team.


Submit early to earn points that will help you win the competition!
  • Starting from 12th of May 2021 and every Wednesday until 16th of June 2021, the top 5 users ranked by the selection criteria will earn Alphien Points allowing them to unlock special features for the Crypto Selector Alphathon!
    • 1 Fast Track Submission to allow priority review of your submission (once approved an existing submission can take up to 1 week to be reviewed again).
    • 1 Extra Submission. Remember that you can only submit one solution by default.
    • 1 Special 30 min consultation with a Senior Quant.
  • You can request to unlock these features by commenting on the ticket generated after you make a submission.

Weekly point rewards

Ranking Points
1 15
2 11
3 7
4 3
5 1



Support tools

  • After you have joined the competition, click the "get started" button. You will be redirected to your dashboard. In "Public Notebooks", filter notebooks by competition tag using the "Crypto Selector" tag.
  • Read about common payout pitfalls to maximise your chances to win.
  • Use the Forum to find help from the community or from Alphien support team.

Tips and advice

  • Use AlphienLab to conduct your research.
  • Once you have fine-tuned your model, document it in a notebook and submit the notebook for our review.
  • We highly recommend you use the Forum as much as you can to get support.


The Competition will be open to any Participants (academic or non-academic) in the world, but Alphien reserves the right to reject some applicants if terms of the platform are violated. In particular, you must not copy code or intellectual property which is not your own or is not open sourced. You can not participate as a professional if your employer can claim ownership in any part of your work on the Alphien platform; in case of conflict please contact and discuss with the Alphien team. Alphien is open to free scientists who own their intellectual property.


Please refer to Alphien Terms of Use.