Newsroom
Top gainers in US Onshore Drilling Companies - FANG, EAT
By KlickAnalytics Data Insights | December 31, 2024 04:39PM ET
Following are the Top 5 companies based on their one-day percentage change within the 'US Onshore Drilling Companies' theme.
Diamondback Energy, Inc. (FANG)
FANG is trading UP for the last 7 days, and it at trading at $163.95 with volume of 2,015,442 and a one day change of $2.97 (1.85%). Diamondback Energy, Inc. has a 52-week low of 146.82 and a 52-week high of $214.50. The business's 50-day moving average price is $178.35 and its 200 day moving average price is $189.03. The firm has a market cap of $45 million, a P/E ratio of 11.40, and a beta of 1.88.
For more information on FANG:
Brinker International, Inc. (EAT)
EAT is trading UP for the last 1 days, and it at trading at $132.41 with volume of 442,583 and a one day change of $0.31 (0.23%). Brinker International, Inc. has a 52-week low of 37.26 and a 52-week high of $133.82. The business's 50-day moving average price is $114.60 and its 200 day moving average price is $81.15. The firm has a market cap of $6 million, a P/E ratio of 17.45, and a beta of 2.48.
Top news headlines for EAT
For more information on EAT:
This article was generated by KlickAnalytics data insight content engine.
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