Up/Down Trends
Streak Statistics
Streak-Length Distribution & Average Return
| Streak Length (days) | Up Streaks | Avg Up Return | Down Streaks | Avg Down Return |
| 1 | 13 | 0.18% | 10 | -0.18% |
| 2 | 8 | 0.38% | 10 | -0.41% |
| 3 | 0 | – | 1 | -0.44% |
| 4 | 2 | 1.00% | 2 | -0.76% |
| 5+ | 0 | – | 0 | – |
| Total | 23 | – | 23 | – |
Longest Streaks on Record
| Record | Days | From | First Price | Last Price | Return |
| Longest UP streak | 4 | Jun 24, 2026 | 1.13586 | 1.14242 | 0.58% |
| Longest DOWN streak | 4 | May 29, 2026 | 1.16621 | 1.15986 | -0.54% |
Momentum vs. Mean-Reversion
| Today \ Tomorrow | Up | Down |
| Up | 37.8% | 62.2% |
| Down | 55.0% | 45.0% |
Seasonality
By Day of Week
| Weekday | Days | Up (%) | Avg Daily Return |
| Monday | 13 | 38.5% | -0.046% |
| Tuesday | 13 | 46.2% | -0.028% |
| Wednesday | 13 | 46.2% | -0.036% |
| Thursday | 13 | 61.5% | 0.061% |
| Friday | 13 | 53.8% | -0.014% |
By Month of Year
| Month | Days | Up (%) | Avg Daily Return |
| January | 0 | – | – |
| February | 0 | – | – |
| March | 0 | – | – |
| April | 0 | – | – |
| May | 12 | 50.0% | 0.016% |
| June | 26 | 42.3% | -0.074% |
| July | 27 | 51.9% | 0.035% |
| August | 13 | 46.2% | 0.025% |
| September | 0 | – | – |
| October | 0 | – | – |
| November | 0 | – | – |
| December | 0 | – | – |
Price Chart with Up/Down Rally Indicators
Historical Up/Down Days and Returns
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