What's New
Product updates, improvements and fixes across the KlickAnalytics platform.
๐ New Feature: Strategy Backtesting Tool
Weโre excited to introduce our new Strategy Backtesting Tool, built to help traders and investors make smarter decisions with confidence.
With this tool, you can:
- Test trading strategies on real market data before risking capital.
- Customize parameters like stop-loss, take-profit, and position sizing to see how different approaches perform.
- Compare performance vs. buy & hold, giving you a clear picture of whether your strategy adds value.
- Visualize results with interactive charts showing equity growth and drawdowns over time.
- View full historical trades made by the backtesting engine and more.
This feature empowers you to validate ideas, manage risk, and refine strategies โ turning raw data into actionable insights. Whether youโre exploring simple SMA crossovers or building toward more advanced strategies, this tool provides the evidence you need to trade with confidence.
To access: From the top menu > Tools > Backtest > Strategies
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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