AMZN Candle Patterns
Candle Patterns
| Pattern | Timeframe | Reliability | Candles Ago | Candle Time |
|---|---|---|---|---|
| Emerging Patterns | ||||
| ▲ Spinning Top | Daily | ★★★ | Current | Sep 18, 2026 |
| ▲ Doji | Weekly | ★★★ | Current | Sep 18, 2026 |
| ▲ Spinning Top | Weekly | ★★★ | Current | Sep 18, 2026 |
| ▲ Doji | Monthly | ★★★ | Current | Sep 18, 2026 |
| ▼ Spinning Top | Monthly | ★★★ | Current | Sep 18, 2026 |
| Completed Patterns | ||||
| ▲ Doji | Daily | ★★★ | 1 candle ago | Sep 17, 2026 |
| ▲ Dragonfly Doji | Weekly | ★★★ | 1 candle ago | Sep 11, 2026 |
| ▼ Dark Cloud Cover | Monthly | ★★★ | 1 candle ago | Aug 31, 2026 |
| ▲ Hammer | Weekly | ★★★ | 2 candles ago | Sep 4, 2026 |
| ▼ Evening Star | Monthly | ★★★ | 3 candles ago | Jun 30, 2026 |
| ▼ Belt Hold | Monthly | ★★★ | 3 candles ago | Jun 30, 2026 |
| ▼ Evening Star | Weekly | ★★★ | 5 candles ago | Aug 14, 2026 |
| ▲ Morning Star | Monthly | ★★★ | 5 candles ago | Apr 30, 2026 |
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