The first tool for medium-term investments in the cryptocurrency market
For the first time a tool for medium-term investments in the cryptocurrency market. Make financial plans for 3-5-7 years and achieve the planned results together with the world's leading crypto exchanges!
Robots outperformed Bitcoin's profitability by 10 times over a 5 year period.
Profitable
Your funds are stored in a separate sub-account on the exchange, and only you have access to withdraw them.
Safe
Our robots connect to the sub-account via API and start trading.
Simple
BTC
ETH
Robots/trading algorithms
We have been developing our algorithms since 2019. We have created, trained on a 7-year historical dataset, and tested algorithms (which we refer to as robots) that execute trades based on the presence of a trend at the current moment.
We employ quantitative trading approaches, big data analysis, and machine learning techniques in our development process.
Cryptocurrencies and exchanges
Our principles of success and security
The management capital (the client's trading budget) is distributed among the robots (ranging from 6 to 30) within the sub-account. Each robot is allocated an equal portion of the client's total capital.
At the moment of granting each robot permission to trade, an equal maximum allowable drawdown is set for the portion of capital allocated to the robot's operations (drawdown ranging from 5% to 50%).
Trading activities by each of the authorized robots are executed on the exchange only when they detect the occurrence of the specific trend they have been trained on.
The robots trading with a client's capital are intentionally unsynchronized. Their actions are not influenced by one another but rather determined solely by the presence or absence of a trend.
Robots are trained and reconfigured (updated to the newly trained version) within the client's sub-account on a quarterly basis.
Capital Allocation
Drawdown Control
When robots are working
Independence of Robots
How the robots are trained
We do not have the ability to withdraw funds from your sub-account.
The trial period for new clients is 3-6 months. The budget is 10 000 USDT.
2% per year of the sub-account balance (asset management fee).
Rental cost/fee
20% success fee at the end of a quarter
Sub-account with a minimum balance of 100,000 USDT
Profit fixation and service fee payment every quarter
Conditions of robot rental
1. Registration
Online
2. Opening and setting
accounts by instruction
3. Shipping
keys
4. Select settings in
personal account
Success fee payment is collected on a "Highwatermark" basis - we only charge a commission on the profit if the client account grows bigger than it was from the highest amount.
5. Start work
robots
Disclaimer: past performance cannot guarantee future results
7 year performance
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Initial capital: $10 000
Average yearly return: +85.6%
Alowed drawdown: - 40%
Longest drawdown period: 6 months
WW robots vs Bitcoin
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In 7 years, the WW system will be 10 times more effective than buy and hold approach
This advantage appears after several years of reinvesting profits
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How our robots work?
Example of bull market robots behavior
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Example of bear market robots behavior
Since our algorithms trade mostly in trending market, there is no way to perfectly predict when a trend has started. In sideways market there will be trades with predefined risks that will result in small losses.
We use trend following framework for designing our robots. It means that our algorithms will stay out of the market when prices are going sideways.
Real trading examples from one of the algorithms, dates 20.03.22 — 11.04.22, ETHUSDT
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Why do we use dozens of robots different logics?
Each robot has a different return curve under different market conditions. When one is in a drawdown, another is making money.
Return of all robots combined
Overall system return becomes smoother with fewer drawdowns compared to each single robot.
Risk management
Our risk management framework is dedicated to securing the capital of our clients.
Disclaimer: There is no guarantee that our risk management framework will be able to prevent losses or manage all the risks reported herein.
Risk management
Our top priority is to manage risk and preserve the capital of our clients. To achieve this, we have established a rigorous risk management framework that monitors various types of risks to keep them within predefined limits
Market Risk
Market risk is the possibility of losses resulting from unfavorable fluctuations in market prices.
In order to control our market risk, our automated risk management technology constantly monitors the volatility in each trading algorithm in our portfolio and rebalances accordingly to keep it within predefined limits set by the client. The base cryptocurrency to work with is USDT, so there's no impact of crypto market price changes when there is no trading activity on your account.
Credit Risk
Credit risk, or counterparty risk, is the potential for financial losses resulting from a borrower's or counterparty's inability to make required payments. Our clients have credit risk exposures with counterparties keeping their investment capital, like crypto exchange accounts.
In order to reduce that type of risk for our clients, we work only with the most reliable exchanges with substantial reserves. As our system is able to work with several exchanges simultaneously, we advise putting investment capital in different exchange accounts.
Operational Risk
Operational risk is a risk caused by inadequate internal processes and technological systems within our organization or by external events such as regulatory, compliance, and legal risks. In particular, since we execute our systematic investment strategies with a pool of trading algorithms, operational risk could arise from glitches and errors in the development of our technology.
In order to minimize it, our team uses a scrupulous testing process for our technology and let's our algorithms trade by using our own capital for a substantial period before the new approach is implemented in our clients systems. We have full control and speed in case modifications need to be made to our trading algorithms. Also, our team regularly reviews our backup procedures and disaster recovery systems.
Liquidity Risk
Liquidity risk is the risk that a financial asset cannot be traded quickly enough without significant market impact due to a lack of buyers or sellers during a specific time period. This situation arises in particular with altcoins.
We minimize our liquidity risk by investing the majority of our capital in the most widely traded cryptocurrencies, such as bitcoin and etherium.
Margin Risk
Margin risk is a term used to describe the potential loss an investor may incur when their broker issues a margin call, leading to the forced liquidation of their positions due to inadequate capital.
Since we rarely use more than 2-3 times leverage for your account. Margin risk can be ariseif crypto exchanges change their trading conditions.
Execution Risk
Execution risk is the risk due to the possibility of receiving a different transaction price from the moment an investment decision is made until its effective execution. It results from many reasons, such as human delays in executing an investment decision in the case of discretionary investment managers, or the need to reduce market impact due to a lack of sufficient liquidity in the financial instrument traded in case of large institutional investors.
We try to lower execution risk by utilizing diversification in trading algorithms. Our system forms a position using hundreds of different market conditions. And we use only automated execution of our trades, so there's no human impact in execution whatsoever.
Asset Class Risk
Asset class risk is the possibility of losses from having a portfolio concentrated in a particular asset class. There may be changes in the legal status of cryptocurrencies in different countries.
To reduce that risk we offer to use our system on different exchanges in different countries.
Investment Approach
Through the use of sophisticated quantitative research, our goal is to discover value within financial data through a rigorous and thorough approach.
Investment Philosophy
Quantitative Research
We invest our clients' capital using a sophisticated and proprietary quantitative research method. We apply the scientific method to analyze and test our hypotheses on vast amounts of historical data in order to find statistical patterns of market behavior. Prior to implementation, the company's strategies undergo an extensive process of backtesting and validation to verify their effectiveness and minimize risk.
Disclaimer: cryptocurrency trading involves a substantial risk of loss.
Risk Management
Managing all types of risks for our clients and invested capital is of primary importance to us. We developed a sophisticated risk management framework with the objective of monitoring and keeping within predefined limits various types of risks embedded in our trading algorithms.
Technology
We invest a substantial amount of monetary and human capital with the objective of developing a superior technological and operational infrastructure. All the code is thoroughly tested by our quantitative developers before going into production. This enables us to minimize technological issues in live production and to easily make modifications when necessary to accommodate the requirements of an investment strategy
Talent
We understand that a main factor of success for a company resides in its team. We always strive to attract and retain the best talent with advanced degrees in the scientific and technological fields.
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02
Development process
Data Collection
In the first phase of our development process we collect data from a variety of traditional and alternative sources. This allows us to test our hypotheses in a more comprehensive and extensive way in the following phases of our strategy development framework.
Data Cleaning
We use automated algorithms to clean large amounts of data. The automated cleaning procedures are evaluated and verified by our data scientists to ensure that the data sets are suitable for use by our quantitative researchers.
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04
Data Analysis
Using sophisticated and advanced statistical methods, our quantitative researchers analyze the processed data sets to uncover alpha signals. This step is most important, since it is hard to find market tendencies. As a consequence it is important to have an excellent team of quants that can uncover reliable market opportunities through vast amounts of noise.
Backtesting
After the data has been thoroughly analyzed, our quants apply the scientific method to the financial data by testing their hypotheses through backtesting experiments on long-time series data spanning multiple decades and different markets. This allows us to find stable statistical models that give us predictable results over the long term.
05
FINAL
Pilot Test
Once our quantitative research team has found investment strategies that have performed well in backtesting, we test them on our own capital for a suitable amount of time before implementing them in a pool of strategies working with clients capital. This step is very important since it increases the probability that the strategy will work as expected in real market conditions and allows us to have the time to fix potential technological issues before live production.
Implementation
Having confirmed that pilot trading returns are correlated with the backtest and what we expected. Our programmers added a new robot to the main algorithm pool.
