Financial agents have traditionally been very efficient due to the level of internal chase they have. Managers and key people within the teams need to gain judgement on the algorithmic ecosystem (yet not hard skills) in order to grant all views are considered when adapting to the new paradigm.
Step 2: Pathvise
Once you have judgement, SciTheWorld can scan you and your current architecture in order to advise on the different paths you may be able to take, their pros, cons and expected cost.
Step 3: Tac-tic-all
Once you have chased our different path proposals, advanced prototypes shall be set to test them out - time is key at this stage and many things ought to be parallelized. If an advanced prototype is not used, the quality of the assessment you need before deciding to approve the large budget involved in your final Algorithmization will be highly compromised/ unrealistic.
In Financial Computing, advances range from CAT trading strats (CRB included) to CAT risk/control strats. Nevertheless, Risk requires this major boost to cope with trading advances.
Step 4: BlackBox-ing
Once you have rolled-out onto your preferred architecture (whether including our tech or not) your algorithms (as black-boxes) shall be taken into a boxing ring in order to stress them before they hit production. This step is key to better understand them and minimize the largest of all risks in Algorithmization: operational risk. We have the ring and the boxers.
Regulators are particularly keen on this 3rd party quality assessment.
Step 5: Digital Brains
Once you know SciTheWorld’s technology, you can further onboard its services to manage other digital strategies across verticals of your company.
OUR PRODUCT RANGES FROM ADVANCED PROTOTYPES TO FULLY PROFESSIONAL EDITIONS
1. HEALTHY CHASE
Senior to mid management.
Soft skills enough to grant sound discussions within the company, around the Algorithmization process.
Per asset and region.
Full scan of your approach, from senior management to code developers.
Three paths based on change ambition and budget.
3. YOUR MARKET APPS
Analyses based on A.I. for traders and portfolio managers to make sounder decisions - e.g. Synthetic liquidity, oil predictions, momentum overviews, etc.
3. STRATEGIES AS A SERVICE
Advanced Trading strategies fully based on our CAT platform.
Advanced Risk Management strategies of control.
3. CENTRAL RISK BOOK
AS A SERVICE
Cross-asset, cross-desks strategies to reduce the market impact of your trades and those of your clients.
Unlocks selling opportunities by managing a portfolio of orthogonal, illiquid risks.
Back-testing: understand previous realistic performances of your algorithm.
Stress-testing: find the extreme risks of your strategy.
Calibration: optimize the parameters of your strategy through the latest methodologies.
Based on our Virtual Reality Sandbox.
IN GLOBAL MARKETS
Security features which require an in-depth understanding of the weakness behind each type of algorithmic trading strategy along with the overall trading systems architecture.
4. BLACK BOX-ING
Try out the behavior of your algorithms when they face a guerrilla of ethical hackers from our ecosystem. We'll send you tones of messages at different frequencies to chase your algorithms across the different risk stripes that the Regulator would like you to check before entering the markets.
5. DIGITAL BRAINS
What would you do with your avatar in the digital world?From cybersecurity strategies to marketing recommendations or algorithmic compliance.