Newsroom
Tawuniya Company Gets Green Light for New Insurance Product
By KlickAnalytics Data Insights | December 31, 2024 03:00PM ET
- The product is designed for group clients in the Kingdom of Saudi Arabia and is registered under the number F-TAWU-1-C-24-122
In a significant development, Tawuniya Company has announced that it has obtained the final approval from the Insurance Authority to launch its latest insurance offering, the "Transport and Logistics Operators Liability Insurance" product. This insurance product is specifically tailored for group clients in the Kingdom of Saudi Arabia and has been assigned the registration number F-TAWU-1-C-24-122.
The approval was received on December 31, 2024, corresponding to 1446-06-30, marking a crucial milestone for Tawuniya Company in expanding its product offerings and catering to the insurance needs of group clients in the region. This latest addition to their portfolio signifies Tawuniya's commitment to providing innovative solutions and comprehensive coverage to its customers in the insurance sector.
Ask the market a question. Get a calculated answer.
The AI is not a chatbot bolted onto a document store. It calls the same analytics engine that powers every screen on this platform — so what comes back is a number it computed from raw history, with the command that produced it.
86,000+ instruments
Global equities, ETFs, funds, options, FX, commodities, crypto, economics, filings, transcripts and news — one normalised symbol universe with adjusted history.
A real analytics engine
Screening, backtesting, technicals, options analytics, correlations, seasonality and factor models — computed on demand from raw prices, never a stale cache.
It shows its working
Answers arrive with the charts, tables and tool calls behind them, so you can check the number instead of trusting a paraphrase.
Your own documents
Upload filings, decks and research. Ask across them and the answer cites the page it came from.
Agents and workflows
Multi-step research that runs the platform's tools for you — screen, pull the history, compute, compare, then write it up.
MCP, CLI and API
The same command catalogue from Claude, your own agent, a shell or your pipeline. The answer on screen is the answer your job gets at 4am.
You ask
“How does NVDA usually trade through earnings?”
It calls
→ ka.options_expected_move(NVDA)
It answers
NVDA has averaged a 9.2% absolute move on the day after earnings and closed higher 67% of the time. Two in three reactions land between −4.2% and +16.3% — the distribution is skewed right, not symmetric.
Every figure computed live from our own history — not scraped, not summarised.
Or start with