CLNE Technical Analysis
Technical Indicators
| Name | Value | Action |
|---|---|---|
| RSI(14) | 44.867 | Sell |
| STOCH(9,6) | 59.7 | Buy |
| STOCHRSI(14) | 100 | Sell |
| MACD(12,26) | -0.09 | Sell |
| ADX(14) | 28.903 | Sell |
| Williams %R | -35.714 | Buy |
| CCI(14) | 3.146 | Neutral |
| ATR(14) | 0.102 | Less Volatility |
| Highs/Lows(14) | 0 | Neutral |
| Ultimate Oscillator | 37.096 | Sell |
| ROC | -3.18 | Sell |
| Bull/Bear Power(13) | 0.008 | Buy |
Moving Averages
| Period | Value | Action |
|---|---|---|
| SMA5 | 1.74 | Buy |
| SMA10 | 1.77 | Buy |
| SMA20 | 1.9 | Sell |
| SMA50 | 1.97 | Sell |
| SMA100 | 2.11 | Sell |
| SMA200 | 2.21 | Sell |
| EMA5 | 1.78 | Buy |
| EMA10 | 1.8 | Buy |
| EMA20 | 1.87 | Sell |
| EMA50 | 1.98 | Sell |
| EMA100 | 2.07 | Sell |
| EMA200 | 2.17 | Sell |
Pivot Points
| Name | S3 | S2 | S1 | Pivot Points | R1 | R2 | R3 |
|---|---|---|---|---|---|---|---|
| Classic | 1.75 | 1.78 | 1.80 | 1.83 | 1.85 | 1.88 | 1.90 |
| Fibonacci | 1.78 | 1.80 | 1.81 | 1.83 | 1.85 | 1.86 | 1.88 |
| Camarilla | 1.82 | 1.82 | 1.83 | 1.83 | 1.83 | 1.84 | 1.84 |
| Woodie's | 1.76 | 1.78 | 1.81 | 1.83 | 1.86 | 1.88 | 1.91 |
| DeMark's | - | - | 1.82 | 1.83 | 1.87 | - | - |
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.
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