About Us
Risk-Taking Philosophy
Purpose of engagement with markets is ‘to exploit’ Price action-not explain. Gaussian math & inductive logic hijack ‘reason’ to a different expedition- ‘to explain’. Hijacked reason produces good explanations of past but poor exploitation of future
Transductive-logic & heuristic learning critically armor the toolkit for exploitation Invention:- a Heuristic Learning Engine to get the better out of risk-taking activities
Business
“We are in the business of risk-taking using a machine & methods shop.”
Machine& methods shop deploys artificial intelligence& algorithms to auto-trade markets Gaussian math fails trading as (1) future may not be our expectation e(x) (2) we seldom survive the path to e(x).
Generally speaking is A White or Black ?
our experience is A is sometimes White, sometimes Black and ever evolving to defy induction; hence our [ai]
Decision-Support Solutions:
Our [AI] & algorithms deliver unmatched prowess to ask-answer-action on market opportunities. We lease Trading Strategy Factory to risk-takers in-substance now migrating to algorithms in form.We lease ai-alpha to clients with their own Prop methods We also risk our Prop capital on our methods- to stay tuned to nuts-and-bolts of risk-taking in markets.
Founder Profile
R Ramesh
Founder- Director | aialgos
ai-algos powers treasuries of largest private banks & foreign banks in India.
Has 30+ years of direct Markets experience. 18 years ( Citibank ) and 10+ years Founder ( aialgos )
He holds a PGDM from IIM-Ahmedabad; a Grad of Institute Cost & Works Accountants of India and a Commerce-graduate from Univ of Madras.
After a solid stint in Financial Control – moved to Citibank Treasury in 1996 and has rich trading experience across Money Markets, Rates, FX & Equities. He was the custodian of CitiBank’s India Liquidity. His was a driving member of ALCO & Investment Committees. He ran the bank’s ALM Book for over 10 years. Was Head of Algorithmic Trading desk before deciding to set-up own business.
He has been a visiting faculty for 15+ years across RBI bankers training college & NIBM Pune and has trained hundreds of Bankers and professionals. He has filed a Global PCT on invention of a heuristic-learning engine for risk-taking; since 2010-Founder-aialgos (www.aialgos.com)
Risk-Taking Philosophy
Purpose of engagement with markets is ‘to exploit’ Price action-not explain. Gaussian math & inductive logic hijack ‘reason’ to a different expedition- ‘to explain’. Hijacked reason produces good explanations of past but poor exploitation of future
Transductive-logic & heuristic learning critically armor the toolkit for exploitation Invention:- a Heuristic Learning Engine to get the better out of risk-taking activities
Events
Launch of India’s First Systematic Trading Strategy Index
About AIALGOS
Since 2010 aialgos powers treasuries of leading Banks in India over 10 years. AI provides decision supports NOT decisions to Markets business.
What is the product?
AI Engines help users ask-answer-action better with market opportunities. Decision-Support is the product. AI supports user decides.
What is unique about AIALGOS?
Risk Taking OS is unique. RTOS is a domain-driver comprising
Layout of end to end domain process.
Layer them into Actor Critic Tasks.
Run the domain experiments on these tasks to fetch domain outcomes.
What is unique about AIALGOS AI?
Proprietary invention of a heuristic learning engine for markets is what is unique.
What is the basic AI anatomy?
Actors Play Markets. Critic plays actors. This duality energizes A-C Domain efficacy.
What are the domain experiments aialgos does?
Strategy engine backtests Risk management actors on markets.
Alpha engine backtests Money Management critic on strategy.
Learning engine backtests Capital allocation critic on portfolio.
What makes AIALGOS Practitioner’s choice?
Alphability i.e. ability to walk the talk into markets is what makes aialgos practitioner’s choice. The practitioners cycle of Generate Select Trade Review tasks all supported by machines makes RTOS click.
What are the domain catalysts AIALGOS brings to field?
Traditional designs focus solely on Stock of Odds. AIALGOS provides proprietary tools to define and provide users a handle to play the flow of odds. Lazy Bets on historical stock of Odds vs Actively Playing the Game with a Handle to Flow of Odds is the catalyst. Result users get street smart workable Odds and do not make dumb bets on average depth of river type statistics or bet on stale odds- expired statistics!
How well can this catalyst handle transform the game with Machine Learning Alpha engine and Learning engines are Machine Learning Examples what machines can do with your domain – if you give them a handle to PLAY the Game; not lazy bets on Stock of odds.
What does alpha engine do?
One of the unique engines of machine learning is alpha which catapults YOUR legacy strategy risk rewards WITHOUT knowledge of your strategy and without changing your strategy parameters.
What does learning engine do?
Learning engine, learns to learn, and enumerates the fate & fortune of going with different ways of learning in domain metric terms (nav drawdown returns)Again learning engine is an example of using the catalyst tool of playing the flow of odds and not betting on stock of odds.
What customers say about aialgos solutions?
Ideas Generation , Systemic intelligence, Extremely Useful, Cost-Benefit, Removes Human Bias, Multiplies Data Processing ,Excellent Signals, Improves Trading, Disciplined, Supplement strategies, Cynic to Convert.