AI Engines Ask-Answer-Action

(If ready ) (if steady) (Gone)
Imagine your machine shows only green(alpha) across a spectrum of trading opportunities most of the time;and other times you hear the learning engine hum; you can rest assured that the machine is running the risk-taking job exactly the way you want to and a rapacious expedition for green-hunt by [ai]– powers your sail into the infinitude
Investment- is always risk-ON catches ALL-up.and.ALL-down moves. Strategy enables discrete risk-on with your-markets. Result is better risk-reward; fungible across markets & Back-Test Infinite( ) with 0.25 million in-built ways & add-more.

My Hedge-Policy hedges?
All Moves
Always-Miss All-Upside & Pay upfront-insurance cost, on One-Direction for Entire horizon. USDINR Performance p.a & NAV
Hedge is Long
-1.49%
Hedge is Short
+1.12%
(-) ve moves
Make affirmative-choice to actively hedge & de-hedge based on
(Long-0-Long-0) or (Short-0-Short-0) Play on a Systematic strategy
Hedge is Long
+2.80%
Hedge is Short
+3.47%
Learning Engines
2000-19 NAV(100) Performance are GOI10Y 494 O/N Call 350. With Learning Engines better the best.

Efficient-Frontier
EF gives theoretical-optimal risk-reward AI engines outperform them !
RIL-SBI-L&T
2003-13
MVP
Min Risk| Ret 25%
Max Ret| Risk 40%

“Clients have a need- liquidity. Meeting needs exposes you to risk(liquidity & price) and rewards – spreads and cover; judicious management of risk-rewards can transform 1$ client flow into 1$ + franchise opportunity. AI can provide with real-time learning win-win-win constructs to address client-regulator-shareholder demands “

Is my Risk origination
at market?

Are there better ways
to cover ?

Generate 1000s of strategies through our unique risk-taking OS. Back-test across instruments or bandwidth. Express multiple functions combination strategies algorithmically. Get sophisticated in your risk-reward practises. Build your own custom strategies. Get ready for α-generators & learning engines.

catapult the risk-reward experience of any strategy. Our proprietary AI achieves this with unique Money Management practises on trading with real-time learning; not in one but in 1000s of different ways. Result. Catapult your risk-reward

Rewrite the fate & fortune of your team. How is it possible? See an illustration below of team performance Vs Capital allocator performance . With continual proprietary learning spin synthetic heuristics > sum of the parts .Result. Retain legacy & change their performance. Re-write fate & fortune of your team

For a chosen OTP watch the drama of [data-decision-deal-$$s] unfold on live markets. Get trade order levels 1 scale in advance. with. real-time learning & α generation. Express Management Benchmark OTPs & clinically delegate execution to anyone around. the ultimate trading screen.




You
roll-the-dice
AI hunts-you Tables with better risk-reward
Bid /Ask
Odds – Annual Returns
GOI10Y 25/75 Odds Market +0/13, Strategy 7/12 Strategy odds are better than market odds.
Purpose
Decision-Supports
Decision-supports help generate & cry out competing & compelling domain-choices; use-as circuit breakers for existing choices or green shoots for potential choices. This exactly no-more and no-less is the role & utility of decision-supports.
Management Affirmation
Chance does-not shape our risk-reward. Ways we engage with chance-does!. AI provides institutional ability to generate better domain-choices. Management Imperative is to make available those choices-on-chances before every decision-event.
Rationale
Strategic
Learn-to-Learn. Know which learning works now & which one has expired. Get a head-start using Strategy, Alpha and Learning engines to create your man x machine multiplier and MTM Your ideas with Results.
Economic
Up-tier your decision-science for Trading, Hedging, Portfolio actions. Set risk-taking benchmarks for each. Would you now benchmark brown-line or any-better for self-assessment.
How-Practised
Benchmark-Practises
We literally Walk-the-Talk to demonstrate HOW managements can better align their risk-capital to market opportunities. For this we Practise in market Our Generate-Select-Trade-Review tasks resulting in Our- Benchmark Scoreboard.
Score-Please !
Chronicles Actual-performance of Our Benchmark Strategies & Trades NOT back-test.
USDINR | GOI10Y | OIS5Y | NIFTY |
Purpose is-not to Quiz the past but to align-with future on a chosen set of benchmark-practises.
We-Don’t Recommend, Advise , Suggest, Signal what the User should do
Management-Finesse
With Benchmarks your Review-Questions sound like this:- Should my traders have made +12% on USDINR last year or captured this 100 bps move on GOI10Y or my Long-Only Book lost -4%Only when NIFTY fell ~ 40 % in Mar-20?
Imagine same questions without numbers.
# Leadership-Practices
Some actual field benefits in market summarized
#1 My Daily Trade-board.
What are my Strategy-Positions across markets today? This end-of-day Report is embedded in Management practise.
#2 Conversations How is my performance vs BMKS
#3 Management Position:
This Leadership made Double digit BMK return even during transition period of old & new traders.
#4 Systematic Power: This shop captured +6% on USDINR in a month – the trader was on-leave !. Reflect:- Trader was away not his Strategy.


Roadmap
Start
Get rock-solid conceptual understanding of man x machine roles and terms of engagement.
Skill
Get AI proficient in 24 tasks across AI-Engines and Processes- Generate Select Trade Review.. From comfort of your desk connect screen-2-screen for Training. Our Training-Calendar covers All topics every-week. Anyone interested can complete this in two-weeks.
Steer
Get practitioners inputs and insights in benchmark ways of risk taking across the 4 processes with your markets be it GOI10Y/ OIS5Y or USDINR or NIFTY or any other.