{"id":11,"date":"2024-06-24T06:36:29","date_gmt":"2024-06-24T06:36:29","guid":{"rendered":"http:\/\/localhost\/ai-algos\/?page_id=11"},"modified":"2024-07-05T06:51:30","modified_gmt":"2024-07-05T06:51:30","slug":"home","status":"publish","type":"page","link":"https:\/\/uat.crayoninfotech.com\/ai-algos\/","title":{"rendered":"Home"},"content":{"rendered":"\n
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\n Decision Context & Problems<\/span\n >\n  <\/span>\n <\/div>\n

HOW<\/h4>\n

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\n You need a Risk Taking OS to Workout history & Negotiate\n Future, play the hide & seek of lab promise to field playouts,\n to re work relearn re drive the negotiations\n <\/p>\n

\n \n \n \n pan_tool_alt\n <\/span>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n
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\n AI Engines<\/span> Ask-Answer-Action\n <\/h2>\n
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Leadership<\/h2>\n W A L K THROUGH<\/span>\n

\n Understand anatomy of odds, idiosyncrasies of domain problem .and.\n design imperatives of solution drivers with application in 20\n Use-cases across Markets<\/strong>. Get soundbites of our\n customer speak. Get Live Market Opportunity-scoreboard on Man x\n Machine mode or\n ZERO-<\/span>Human<\/strong>\n mode.\n <\/p>\n\n

\n Take Away<\/a\n >\n <\/div>\n <\/div>\n
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<\/div>\n <\/div>\n <\/div>\n <\/i\n ><\/a>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n<\/section>\n\n
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\n Problem<\/a>\n <\/div>\n\n
\n Solution<\/span\n >\n <\/div>\n \n
\n How Practised<\/a\n >\n <\/div>\n \n <\/div>\n <\/div>\n <\/div>\n <\/div>\n<\/section>\n\n
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\n Traders\n Multiplier<\/span>\n <\/h4>\n\n

\n Multiply Trader<\/span> value add in\n man-machine mode. Start with 0.25 Million ways to better your\n Risk-Money-Capital decisions;add more.\n <\/p>\n\n

\n Result:<\/span> Risk-Reward beyond human\n intelligence\n <\/p>\n

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\n Use Cases<\/a>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n
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  • \n Strategy\n <\/a>\n <\/li>\n
  • \n Alpha\n <\/a>\n <\/li>\n
  • \n Learning\n <\/a>\n <\/li>\n <\/ul>\n
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    Strategy<\/h2>\n

    \n Strategy Odds\n beats<\/span> Market\n Odds<\/span>\n <\/h4>\n <\/div>\n\n
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    Strategy<\/h4>\n

    \n Better Your Strategy Risk-Rewards\n <\/h4>\n \"\"\n\n \"\"\n\n
    \n \n factory tops<\/span\n >\n <\/div>\n \n 100K+<\/span\n >\n <\/div>\n <\/div>\n\n \n
    \n 30<\/span>\n YEAR<\/span\n >\n <\/div>\n <\/div>\n \n
    \n 03<\/span>\n YEAR<\/span\n >\n <\/div>\n <\/div>\n \n
    \n 01<\/span>\n YEAR<\/span\n >\n <\/div>\n <\/div>\n <\/div>\n
    \n \n arrow_upward\n <\/span>\n <\/div>\n
    \n \"\"\n\n <\/div>\n <\/div>\n <\/div>\n
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    Risk<\/h2>\n

    MANAGEMENT<\/h4>\n <\/div>\n\n
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    Decision – Problem<\/h5>\n
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    \n What are (1) comparative NAVS Market vs\n Strategies(2)Odds(5-95) of Annual Returns (3) Factory Tops\n of 100 K for last Full History, 3 Years, 1 Year\n <\/p>\n\n

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    Decision – Support<\/h5>\n
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    Generate Better Odds<\/h5>\n <\/div>\n\n

    \n Get Classified Factory-Tops of 100K+ Strategies Selection\n ready for machine-lenses.Strategy pendulum has better odds\n than Market<\/span>\n <\/p>\n\n

    Risk-Reward<\/h5>\n\n \n
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    NAV<\/th>\n DD<\/th>\n G\/L<\/th>\n <\/tr>\n
    542<\/td>\n -7<\/td>\n 1.8<\/td>\n <\/tr>\n
    62<\/td>\n -42<\/td>\n 0.9<\/td>\n <\/tr>\n <\/table>\n <\/div>\n
    \n \n arrow_upward\n <\/span>\n <\/div>\n <\/div>\n\n
    \n USDINR May92-Apr21<\/span>\n Longs made 62 Strategy 542<\/span\n >\n <\/div>\n <\/div>\n <\/div>\n \n <\/div>\n \n
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    Alpha<\/h2>\n

    \n Better\n Your<\/span> Strategy\n Risk-Rewards<\/span>\n <\/h4>\n <\/div>\n\n
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    Alpha<\/h4>\n

    \n Better Your Strategy Risk-Rewards\n <\/h4>\n \"\"\n\n \"\"\n\n\n
    \n α – You<\/span>\n
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    Money<\/h2>\n

    MANAGEMENT<\/h4>\n <\/div>\n\n
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    Decision – Problem<\/h5>\n
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    \n WITHOUT<\/span> changing my strategy\n can alpha improve its risk reward\n <\/p>\n\n

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    Decision – Support<\/h5>\n
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    Catapult Your risk-reward<\/h5>\n <\/div>\n\n

    \n I trade My-Favorite-Strategy. Can-AI improve the\n risk-rewards of my strategy without changing it?\n <\/p>\n\n

    Risk-Reward<\/h5>\n\n \n
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    P&L<\/th>\n Loss<\/th>\n G\/L<\/th>\n <\/tr>\n
    55<\/td>\n 46<\/td>\n 2.3<\/td>\n <\/tr>\n
    54<\/td>\n 74<\/td>\n 1.7<\/td>\n <\/tr>\n <\/table>\n <\/div>\n
    \n \n arrow_upward\n <\/span>\n <\/div>\n <\/div>\n\n
    \n USDINR May92-Apr21<\/span>\n Alpha delivers 55\/43 on my same strategy 54\/74 without\n changing it<\/span\n >\n <\/div>\n <\/div>\n <\/div>\n \n <\/div>\n \n
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    Learning<\/h2>\n

    \n Better your\n Best<\/span>\n <\/h4>\n <\/div>\n\n
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    Learning<\/h4>\n

    Better your Best<\/h4>\n \"\"\n\n \"\"\n\n
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    \n learn<\/span\n >\n 956<\/span\n >\n <\/div>\n <\/div>\n \n \n
    \n GOI 10Y<\/span>\n 664<\/span>\n <\/div>\n <\/div>\n \n
    \n CALL<\/span>\n 441<\/span>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n\n
    \n 956\/07<\/span><\/span\n >\n <\/div>\n
    \n 664\/14<\/span><\/span\n >\n <\/div>\n
    \n 441\/00<\/span><\/span\n >\n <\/div>\n <\/div>\n
    \n \n arrow_upward\n <\/span>\n <\/div>\n
    \n \"\"\n\n <\/div>\n <\/div>\n <\/div>\n
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    Capital<\/h2>\n

    ALLOCATION<\/h4>\n <\/div>\n\n
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    Decision – Problem<\/h5>\n
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    \n Can learning better the best in capital allocation with\n lower risk between Call & Bond portfolio.\n <\/p>\n\n

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    Decision – Support<\/h5>\n
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    Learn-to-Learn<\/h5>\n <\/div>\n\n

    \n Better your-best. Get Selection & Capital Allocation\n decisions with many ways of spinning Total >\n Sum of the parts<\/span>\n <\/p>\n\n

    Risk-Reward<\/h5>\n\n \n
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    Risk<\/th>\n NAV<\/th>\n Ret<\/th>\n Low<\/th>\n High<\/th>\n <\/tr>\n
    LEARN<\/td>\n 956<\/td>\n 9.35<\/td>\n -2<\/td>\n 32<\/td>\n <\/tr>\n
    GOI10Y<\/td>\n 664<\/td>\n 7.85<\/td>\n -12<\/td>\n 34<\/td>\n <\/tr>\n <\/table>\n <\/div>\n
    \n \n arrow_upward\n <\/span>\n <\/div>\n <\/div>\n\n
    \n GOI10Y-Call Jan00-Feb 24\n <\/span>\n Bond return 664,Call Money 441. Learning made 956 with\n Half the Risk.<\/span\n >\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n\n
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    \n Opportunity\n Scoreboard<\/span>\n <\/h4>\n\n

    \n Get Hunted Opportunity out of Potential. Get Opportunity\n Scoreboard live with Zero Human\n <\/p>\n\n

    How Practised<\/p>\n\n

    \n Result:<\/span> Hunted Opportunities from\n Potential Opportunities\n <\/p>\n\n

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    \n \n How Practised\n <\/button>\n <\/div>\n\n
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