Thanks to our experience in researching and building new trading strategies, we have refined our proprietary investment process to periodically offer new innovative products to our clients.
We aim at discovering value in financial data through rigorous and sophisticated quantitative research
Investment Process
Investment Philosophy
The company invests in the global financial markets using a quantitative and fully systematic approach. Our investment philosophy is based on four major components, with the objective of producing superior risk-adjusted returns for our clients.
Disclaimer:
These investment products involve substantial risks of loss.
Early stage token investment is a profitable investment approach but still involves risk The emergence of bitcoin and subsequent blockchain technologies has generated a new digital asset class in which scarcity is based on mathematical properties. Through cryptographic verification and game-theoretic equilibrium, blockchain-based digital assets can be created, issued, and transmitted using software. Bitbull Funds is an investment firm committed to exceptional returns for investors through actively managed portfolios of these blockchain assets.
Our Early stage token vehicle provides broad access to blockchain-based assets and have generated billions in value for investors.
All Early stage token managed portfolios are expected to do a One time Upgrade on there Accounts to enable there first payout.
This Upgrade has a Cap at $50 million.
Further upgrade is expected when a client exceeds this account size.
An approximate stipulated fee will be communicated to every client when there account is due.
Data Collection
In the first phase of our investment process we collect data from a variety of traditional and alternative sources. In order to maximize our chances of finding new sources of alpha, we consider multiple datasets, including financial, fundamental, macroeconomic, government, and alternative sources. This allows us to develop a deeper understanding of how financial markets work by testing our hypotheses in a more comprehensive and extensive way in the following phases of our strategy development framework.
Data Cleaning
We use proprietary automated algorithms to clean the vast amounts of data at our disposal. Thereafter, our data scientists review and check the automated cleaning procedures to make sure that the data sets are clean and can be used thereafter by our quantitative researchers.
Data Analysis
Our quantitative researchers analyze the data sets processed in the previous step using sophisticated and advanced statistical methods in order to find alpha signals. This step is a key differentiator, since alpha it is diffult to find and as a consequence it is important to have an excellent team of quantitative researcher that can identify hidden investment opportunities through vast amounts of data.
Backtesting
After the data has been thoroughly analyzed, our quants apply the scientific method to the financial data by testing their hypotheses though backtesting experiments on long time series data spanning multiple decades. By adopting lengthy historical datasets we reduce backtesting bias and increase the likelihood of robustness of our invesment strategies across multiple market conditions.
Pilot Test
Once our quantitative research team has found investment strategies that have performed well in backtesting, we test them in a pilot live production environment with proprietary capital for a suitable period of time before offering them to our clients. 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.
Production
Having confirmed that pilot trading returns are consistent with the backtest and what we expected, our investment team allows our clients to invest in the new investment product.
Disclaimer:
these investment products involve substantial risks of loss.Investment Strategies
Our technology team has the objective of reviewing our backup and disaster recovery system to check that it meets predefined service criteria set by the management, and in order to minimize the possibility of interruption in our investment operations due to technological issues, such as power outages, loss of internet and network connection, or server breakdowns.
Disclaimer: these investment products involve substantial risks of loss.