AI Engines Ask-Answer-Action
Leadership
W A L K THROUGHUnderstand anatomy of odds, idiosyncrasies of domain problem .and. design imperatives of solution drivers with application in 20 Use-cases across Markets. Get soundbites of our customer speak. Get Live Market Opportunity-scoreboard on Man x Machine mode or ZERO-Human mode.
Workout HISTORY
Explore opportunities
Traders Multiplier
Multiply Trader value add in man-machine mode. Start with 0.25 Million ways to better your Risk-Money-Capital decisions;add more.
Result: Risk-Reward beyond human intelligence
Strategy
Strategy Odds beats Market Odds
Strategy
Better Your Strategy Risk-Rewards
Risk
MANAGEMENT
Decision – Problem
What are (1) comparative NAVS Market vs Strategies(2)Odds(5-95) of Annual Returns (3) Factory Tops of 100 K for last Full History, 3 Years, 1 Year
Decision – Support
Generate Better Odds
Get Classified Factory-Tops of 100K+ Strategies Selection ready for machine-lenses.Strategy pendulum has better odds than Market
Risk-Reward
| NAV | DD | G/L |
|---|---|---|
| 542 | -7 | 1.8 |
| 62 | -42 | 0.9 |
Alpha
GOI10Y | MIBOR+
Strategy X
W H I C H ?
All
Part
Money
MANAGEMENT
Decision – Problem
WITHOUT changing my strategy can alpha improve its risk reward
Decision – Support
Catapult Your risk-reward
I trade My-Favorite-Strategy. Can-AI improve the risk-rewards of my strategy without changing it?
Risk-Reward
| P&L | Loss | G/L |
|---|---|---|
| 1035 | 900 | 2.2 |
| 995 | 320 | 4.2 |
Learning
Better your Best
Learning
Better your Best
Capital
ALLOCATION
Decision – Problem
Can learning better the best in capital allocation with lower risk between Call & Bond portfolio.
Decision – Support
Learn-to-Learn
Better your-best. Get Selection & Capital Allocation decisions with many ways of spinning Total > Sum of the parts
Risk-Reward
| Risk | NAV | Ret | Low | High |
|---|---|---|---|---|
| LEARN | 956 | 9.35 | -2 | 32 |
| GOI10Y | 664 | 7.85 | -12 | 34 |
Negotiate FUTURE
Exploit Opportunities
Opportunity Scoreboard
Get Hunted Opportunity out of Potential. Get Opportunity Scoreboard live with Zero Human
How Practised
Our market-walk footprints, talk louder than a 1000 words; in 3
scenarios( see Scoreboard)
(a) What are some Benchmark hits in BAU practise
(b) Have Pilots logged positive experience in AI Sandbox
(c) What is actual experience in a Black-Swan event
Result: Hunted Opportunities from Potential Opportunities
Pilot Global Bank
“ The AI sandbox offered by aialgos is a very impressive offering. Their capability of searching through 100k strategies coupled with a structured framework to narrow down to a best few is unique. The product has struck a good balance between blanket automation of trade strategy analysis and ability to tweak hyperparameters. The Sandbox exercise on G3 currencies and US Rates demonstrated the product’s ability to generate alpha and beat the efficient frontier on a regular basis. The modular architecture of the offering in form of selection wizard, alpha engine, shade/season and capital allocator gives a broad range of choices to emulate to a trader’s style and is designed to seamlessly integrate into his/her preferences. However, The product suite has a scope to upgrade the user interface and improve visualization tools. The overall sandbox experience was highly intriguing and fulfilling at the same time. ”
AI Market Maker
Judicious risk-management transforms 1$ client flow into 1$+ franchise opportunity.
Result: Better Origination Better Cover
Customer speak
Manager Pvt Bank
We have been associated with AI Algos for many years and have seen its evolution to its current form which is a complete offering in every sense. The add ons desired by the traders in the past was smoothly delivered by AI Algos. The system ticks all the relevant aspects valued in a quality Decision-Support system.
Manager Pvt Bank
AI algos has provided a platform to identify and generate trade signals using system intelligence; thus, helping to approach the market without emotional bias. The same result is benchmarked and compared to market returns to compare, identify and improve overall trading activity. The function of OTP dashboard gives a quick reference for the current trades across instruments. The capital allocator function allocates the fund to O/N or term money based on market condition. The platform gives excellent signals when the market is trending.
Manager Pvt Bank
We have been using aialgos trading system as part of our prop trading strategies. We have had a positive experience so far as while generating ideas it brings a certain discipline in our execution. We also use it to supplement other strategies and views that we may be running simultaneously.
Pilot Global Bank
Before starting, I was personally quite disbelieving of the utility of the tool. However on testing it myself, I found this could prove extremely useful in supplementing trader experience and management decision making- purely by virtue of measuring efficacy in terms of output rather than input, and processing information which we may miss on account of our biases and limited information processing capability. Furthermore, the churn (in and out of market) was definitely lower, and even though the package seems overwhelming and complex at first, it becomes fairly simple to navigate once you try understanding the logic behind all the moving parts and get a hang of the GUI. Despite my initial cynicism, I would like to believe that the cost benefit of deploying this tool definitely pays out. Once can see the truth in the numbers.
Trader/Manager – AIF
AIAlgos is a rigorous data analysis engine which efficiently handles inputs to generate signals – irrespective of asset class. This makes it very effective as a multi-strat systematic trading engine. Advantage of AIAlgos over a regular back testing engine is its superior computational capability when it comes to performing vast amount of iterations under multiple permutations & combinations of cycles/periods of the chosen parameters.
Also, we liked the capital allocator model which goes one step further to divide up the capital into different securities (or even asset classes) based on historical assessment of returns. This was unique and not implemented in models we have typically come across.
Launch of India’s first
