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Example prompts
Workflows that combine Fincept data, analytics and statistics.
Start prompts with “Using Fincept” so the agent reaches for these tools instead of the web.
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Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Workflows that combine Fincept data, analytics and statistics.
| Prompt | Tools the agent uses |
|---|---|
| Get the quote, 52-week range and key ratios for MSFT. | market_get_quote, market_get_fundamentals |
| Plot India’s CPI inflation since 2015 against the RBI repo rate. | data_search_series, data_get_observations |
| Fit an ARIMA to Nifty 50 daily closes and forecast 20 days with intervals. | market_get_candles, stats_arima |
| Is the spread between KO and PEP mean-reverting? Test cointegration and give the hedge ratio. | market_get_candles, stats_engle_granger, stats_ols |
| Regress my portfolio’s daily returns on SPY and report beta with HAC errors. | portfolio_get_performance, stats_ols |
| Backtest a 50/200-day moving-average crossover on AAPL since 2015 and summarise drawdowns. | backtest_validate_spec, backtest_run |
| Summarise this week’s news on semiconductors and its sentiment. | news_search_articles, news_get_sentiment_aggregate |
| Which institutions hold NVDA, largest first? Where have insiders been buying in clusters? | filings_get_security_holders, filings_find_insider_clusters |
| Is the US unemployment rate stationary? Run ADF and KPSS. | data_get_observations, stats_stationarity_test |
| How many observations per group do I need to detect a 0.3 effect size at 80% power? | stats_power_solve |
| Backtest LightGBM and ridge forecasts of Nifty 50 daily closes over 5 windows, then forecast 20 sessions with 80% and 95% intervals. | market_get_candles, forecast_cross_validation, forecast_ml_forecast |
| Search models and features automatically for a 12-month forecast of US industrial production. | data_get_observations, forecast_auto_ml |
| Build a CVaR risk parity portfolio of SPY, TLT, GLD and DBC from three years of daily prices. | market_get_candles, alloc_risk_parity |
| Give me the full risk report of a 60/40 SPY/AGG portfolio: CVaR, drawdowns and ulcer index. | market_get_candles, alloc_risk_table |
| Plot the efficient frontier of SPY, EFA, EEM, TLT and GLD with the max-Sharpe and minimum-volatility portfolios. | market_get_candles, pfopt_efficient_frontier |
| Find the minimum-CVaR portfolio at 95% of SPY, QQQ, TLT and GLD from five years of daily prices. | market_get_candles, pfopt_cvar |
| Chart SPY’s 1-month realized volatility and its 1-year rolling Sharpe ratio since 2020. | market_get_candles, quant_volatility, quant_sharpe_ratio |
| Backtest a 60/40 SPY/TLT basket rebalanced monthly with 5 bp costs since 2015. | market_get_candles, quant_basket_backtest |
series and chart blocks. Large results include a viewer link at fincept.in with interactive tables and CSV download.