Newsroom
Emaar Properties Tops the DFM Board With 0.71%
By KlickAnalytics Data Insights | October 2, 2026 11:45PM ET
The Dubai Financial Market finished lower, the average name -0.51% with 5 of 17 closing green.
Breadth ran 5 advancers to 9 decliners, 3 unchanged. More telling is where the money went: 40% of the session's turnover traded in names that finished higher. That is a genuinely split tape.
The session's standout was Emirates NBD Bank (EMIRATESNBD), which fell 1.91% to 30.80 AED on 50.5 million AED of turnover, 1.2x its normal volume. That leaves it 0% of the way up its 52-week range.
Session leaders
| Symbol | Company | Close | Change | Traded value |
|---|---|---|---|---|
| EMAAR | Emaar Properties | 11.40 AED | +0.71% | 109.0 million AED |
Session laggards
| Symbol | Company | Close | Change | Traded value |
|---|---|---|---|---|
| SALIK | Salik | 5.35 AED | -2.73% | 15.7 million AED |
| EMIRATESNBD | Emirates NBD Bank | 30.80 AED | -1.91% | 50.5 million AED |
| PARKIN | Parkin | 6.00 AED | -1.64% | 4.0 million AED |
| DEWA | Dubai Electricity and Water Authority | 2.62 AED | -1.50% | 36.3 million AED |
Emaar Properties drew the heaviest money flow at 109.0 million AED, out of 316.8 million AED traded across the board — 0.62x the 20-day average, so participation was below normal.
Sector performance
| Sector | Avg | Names |
|---|---|---|
| Real Estate | +0.09% | 4 |
| Financial Services | -0.36% | 4 |
| Utilities | -0.54% | 2 |
| Industrials | -0.82% | 4 |
| Consumer Defensive | -1.21% | 2 |
Stepping back, the average name on this board is -1.48% over the past week, -0.32% over the past month, -8.82% year to date. Collectively the board sits 50% of the way up its 52-week range.
Price moves can reverse quickly; this reflects the situation at the time of writing.
Explore more on KlickAnalytics: Overview · Technicals · Seasonality · Chart
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