What's New
Product updates, improvements and fixes across the KlickAnalytics platform.
๐ Introducing Seasonal Edge

๐ Introducing Seasonal Edge โ Market Seasonality Done Right
Weโre excited to launch Seasonal Edge, a powerful new tool inside KlickAnalytics that reveals how markets actually behave over time โ backed by data, not anecdotes.
Seasonal Edge analyzes historical returns across months, weeks, and other time buckets to show when a symbol has historically performed better or worse, and by how much.
๐ What makes Seasonal Edge different?
๐ Probability, not predictions
- See the percentage of positive vs. negative periods for each time bucket, clearly visualized in green and red.
๐ Real return distribution
- Go beyond averages with P25 / P75 bands, median, min/max, and raw return points โ so you understand risk, not just direction.
๐งฎ Multiple return calculations
Close-to-Close
Open-to-Close
Log Returns
Switch instantly and see how seasonality changes.
โฑ Flexible time controls
- Lookback by years
Or analyze from a specific โSinceโ date
- Automatically limited for free users, fully unlocked for PRO
๐ง Context-aware insights
โNowโ marker highlights the current period
Hover any bar or point to see detailed bucket statistics instantly
To view: Search for any symbol, click on Seasonality > Seasonal
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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