AMZN Technical Analysis
Technical Indicators
| Name | Value | Action |
|---|---|---|
| RSI(14) | 53.45 | Buy |
| STOCH(9,6) | 56.738 | Sell |
| STOCHRSI(14) | 0 | Buy |
| MACD(12,26) | 6.97 | Sell |
| ADX(14) | 11.523 | Neutral |
| Williams %R | -48.409 | Buy |
| CCI(14) | 16.661 | Neutral |
| ATR(14) | 16.506 | Less Volatility |
| Highs/Lows(14) | 0 | Neutral |
| Ultimate Oscillator | 56.078 | Buy |
| ROC | 5.29 | Buy |
| Bull/Bear Power(13) | -4.698 | Sell |
Moving Averages
| Period | Value | Action |
|---|---|---|
| SMA5 | 260.71 | Sell |
| SMA10 | 257.43 | Sell |
| SMA20 | 256.03 | Buy |
| SMA50 | 237.91 | Buy |
| SMA100 | 225.19 | Buy |
| SMA200 | 184.06 | Buy |
| EMA5 | 259.62 | Sell |
| EMA10 | 257.66 | Sell |
| EMA20 | 252.54 | Buy |
| EMA50 | 240.24 | Buy |
| EMA100 | 223.7 | Buy |
| EMA200 | 197.75 | Buy |
Pivot Points
| Name | S3 | S2 | S1 | Pivot Points | R1 | R2 | R3 |
|---|---|---|---|---|---|---|---|
| Classic | 243.53 | 246.55 | 251.94 | 254.96 | 260.35 | 263.37 | 268.76 |
| Fibonacci | 246.55 | 249.77 | 251.75 | 254.96 | 258.18 | 260.16 | 263.37 |
| Camarilla | 255.01 | 255.78 | 256.55 | 254.96 | 258.09 | 258.86 | 259.63 |
| Woodie's | 244.71 | 247.14 | 253.12 | 255.55 | 261.53 | 263.96 | 269.94 |
| DeMark's | - | - | 253.45 | 255.72 | 261.86 | - | - |
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