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Research
- Alujain: Has recovered 31.1% off the 52-week low of 20.67 as Full-year revenue declined 16.3% in FY2025 to 1.30B
- Al-Etihad Cooperative Insurance and the Split Between 4 Bulls and 4 Bears
- The Bull and Bear Case for Darb Saudi Investment Company (4130): 2 Points Against 3
- Alwasail Industrial and the Split Between 4 Bulls and 2 Bears
- Saudi Real Estate Trading History Meets a Split Fundamental Case
- Arabian Centres Looks Bearish by Count, Not by Certainty
- CATRION Catering Holding Has a Clearer Bull Side, but a Bear Side Too
- Saudi Ground Services Sets Up a 2-Point Bull Case Against a 7-Point Bear Case
- The Bull and Bear Case for Almunajem Foods Company (4162): 4 Points Against 1
- Tihama for Advertising Public Relations and Marketing: More Bulls Than Bears in the Dossier
- Advanced Petrochemical Company (2330): The Bears Have More to Work With on the Numbers, 2 Bullish Points to 7 Bearish
- National Medical Care After the Filings: The Bulls Have More to Work With
- Walaa Cooperative Insurance Sees the Argument Tilt Toward Split
- Al Hammadi Holding Draws Both Sides as The Bears Have More to Work With
- Saudi Advanced Industries in the Numbers: The Bears Have More to Work With
- The Saudi Investment Bank and the Split Between 4 Bulls and 2 Bears
- Ash-Sharqiyah Development With The Bulls Have More to Work With and a Bear Case Still Standing
- YAMAMA Cement: Stronger Bull Case, but the Bear Case Stays
- Specialized Medical Draws a Split Lean From the Lists
- Anaam International Holding Group: How the Bull and Bear Lists Compare
- Leejam Sports Company (1830): The Bears Have More to Work With on the Numbers, 3 Bullish Points to 6 Bearish
- Astra Industrial Group in the Numbers: An Evenly Argued Case
- Liva Insurance Draws Both Sides as The Bulls Have More to Work With
- Wafrah for Industry and Development With The Bulls Have More to Work With and a Bear Case Still Standing
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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
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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.
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