Meet Kyros: the AI trading copilot for India's stock desk aimed at erasing emotional bias. Built on an LLM stacked atop real-time market data, it connects dots across feeds, indicators, and the option chain. It crunches 5 charts, 150 indicators, and full option chain in under 2 minutes [1].
What Kyros does — An LLM that links data points, spots divergences, forms confluences, and surfaces insights in market microstructure. Execution remains with the trader, not the model [1].
Real-time data and latency — The LLM doesn’t receive tick-level data; the system fetches fresh data via spot API calls with minimal latency [1].
Practical use cases for Indian retailers — • Real-time multi-indicator confluence alerts across timeframes [1] • Option-chain insights for timing decisions [1] • Structured signals aimed at reducing emotional bias [1] • Access via Telegram bot @khyros_bot for quick checks [1]
Pitfalls and caveats — There’s no 100% win rate; the system cites about 68% on a 1-year backtest [1]. Options are a zero-sum game, and execution still lies with the trader [1].
How retailers in India might pilot it — Kyros is live via a Telegram bot, inviting feedback and tweaks from real users as it scales in local markets [1].
Closing thought: Kyros offers a tangible, emotion-free copiloting path for Indian stocks, but real-world pilots will reveal how it lands in everyday trading.
References
AI trading copilot for Indian stock market. no more emotional bias
Intro to Kyros LLM for Indian stock analysis, real-time data, multi-indicator, aim to remove emotional bias
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