Use cases
Ora use cases by industry
How 45 kinds of financial-industry players use Ora: 902 worked examples, each a real request with the answers it returned. Every one follows the same flow: state (a symbol) → questions (exact rules in the rule language, English questions that compile to rules, and forecasts) → answers → actions (Slack, email or a webhook) where it fits.
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Type to search, or pick a function to see every example that uses it.
Individuals
People trading and investing their own money: from a first watchlist to a full-time desk at home.
Retail investor
Checks a handful of stocks before buying, adding or trimming, and wants alerts instead of screen time.
Active day trader
Plans each session from the daily bar: gaps, ranges, volume and the levels that matter tomorrow.
Swing trader
Holds for days to weeks: trend, pullback entries, swing structure, stops and risk/reward.
Options trader
Picks strategies by volatility regime, expected range and the event calendar.
Dividend investor
Builds income: yield, growth streaks, ex-dates, cuts and the price trend under the payout.
Long-term passive investor
Index funds and a few core holdings: rebalancing triggers, drawdowns and staying the course.
Crypto trader
Trades crypto through listed vehicles: spot bitcoin and ether ETFs, miners and bitcoin-heavy treasuries.
FX trader
Reads currencies through the dollar ETF, country funds and ADRs that move with exchange rates.
Commodities trader
Gold, silver, oil, gas, metals and agriculture through their exchange-traded funds and producers.
Social trading community
A group that shares setups and wants the same checks, in the same words, posted to its channel.
Students and universities
Finance classes and student funds learning indicators, events and forecasts on real data.
Buy side
Advisors, managers and allocators who own the portfolio and answer for its risk.
Financial advisor / RIA
Client portfolios, rebalancing, reviews and timely notes before clients call.
Wealth manager
Model portfolios across many households: drift, concentration, income and risk alerts.
Family office
A concentrated, multi-asset book with a small team: watch everything, act on exceptions.
Hedge fund PM
Long/short books: catalysts, crowding, stops and gross/net decisions every morning.
Quant researcher
Signal ideas as exact rules, compared with forecasts, across a universe and over time.
Portfolio manager (long-only)
Benchmark-aware stock picking: entry timing, trims, earnings risk and sector tilts.
Risk manager
Limits, drawdowns, volatility regimes and pre-trade checks, with escalations that write themselves.
Private equity
Public comparables, exit windows and listed-portfolio monitoring around deals.
VC / growth investor
Public growth comps, IPO windows and the health of listed portfolio companies.
Fund-of-funds allocator
Allocates across managers and ETFs: regime reads, factor sleeves and rebalancing bands.
Sell side
Desks that research, sell, execute and make markets, and the people who supervise them.
Equity research analyst
Covers a sector: earnings previews and reviews, estimate beats, dividends and the tape.
Sell-side sales trader
Turns the morning tape into client color: movers, levels, volume and events.
Execution trader / desk
Works orders: liquidity, volatility, gaps and when to be patient or aggressive.
Market maker
Quotes two-sided markets: volatility regime, event risk, gaps and inventory warnings.
Prop trading firm
Trader risk rules, setup scans and firm-wide kill switches on the daily data.
Compliance officer
Surveillance context: unusual moves around events, restricted lists and documented checks.
Corporates
Companies and lenders watching their own stock, their counterparties and the market around them.
Investor relations team
Watches its own stock and peers: reactions to results, volume, dividends and the narrative.
Corporate treasury
Cash, hedges and buybacks: rates and dollar ETFs, own-stock levels and counterparty checks.
CFO office
Board-ready market context: own stock vs peers, guidance reactions and capital-return timing.
Bank credit analyst
Equity signals as early credit warnings: drawdowns, dividend cuts, misses and volatility.
Financial journalist / media
Fact-checked market color: what is true today, in plain words, with the rule behind it.
Builders
Teams putting market decisions inside apps, bots, data products and courses.
Quant developer
Wires exact rules and forecasts into pipelines, tests and order systems.
Fintech app builder
Ships market insights inside a product: cards, nudges and push notifications.
Robo-advisor
Automated portfolios: rebalancing triggers, tax-loss harvesting candidates and risk dials.
Broker app
Pre-trade warnings, event badges and smart alerts for millions of self-directed accounts.
Algo / bot developer
Bots that read a signal, check risk and post an order, a message or nothing.
Data vendor / platform
Derived signals and event flags as a product, delivered by webhook to clients.
Trading educator / newsletter
Lessons and newsletters built on real setups, with the rule shown next to every claim.
Institutions
Index providers, issuers and long-horizon asset owners running policy portfolios.
ETF issuer
Watches its funds and their holdings: flows proxies, trend, volatility and distribution dates.
Index provider
Rules-based selection screens, rebalance checks and corporate-action flags.
Insurance investment office
Liability-aware portfolios: rates, credit, income and drawdown limits.
Pension fund
Policy portfolio, rebalancing ranges and risk-off signals for a long-horizon board.
Endowment
Spending-rule portfolios: regime reads across equities, real assets and bonds.
Sovereign wealth fund
Global allocation across countries, currencies and commodities, watched as a whole.
Browse by rule function
Every function, candlestick pattern and fact the examples use, with how many examples use it. Grammar and definitions: function reference.
Functions
abs 99 adx 45 atr 152 atr_pct 37 avg 106 barssince 12 bblower 28 bbmid 18 bbupper 27 between 13 cci 18 crossdown 17 crossup 22 cum 11 diminus 27 diplus 27 ema 65 greatest 9 highest 70 highestbars 15 hl2 9 hlc3 11 iif 6 least 9 linreg 22 log 99 lowest 69 lowestbars 15 macd 30 macdhist 8 macdsignal 22 max 158 mean 11 median 16 min 42 obv 23 offset 306 ohlc4 9 percentrank 26 rec 14 ref 203 rma 13 roc 81 rsi 99 sign 12 sma 453 sqrt 93 std 102 stochd 13 stochk 16 sum 25 swinghigh 48 swinglow 62 tr 17 willr 17 wma 14 zscore 39
Candlestick patterns
dark_cloud 15 doji 18 dragonfly_doji 12 engulfing_bear 21 engulfing_bull 14 evening_star 18 gap_down 9 gap_up 11 gravestone_doji 12 hammer 19 hanging_man 12 harami_bear 9 harami_bull 12 inside_bar 13 inverted_hammer 11 marubozu 16 morning_star 17 outside_bar 18 piercing_line 13 shooting_star 17 spinning_top 13 three_black_crows 13 three_white_soldiers 14 tweezer_bottom 13 tweezer_top 12
Facts: earnings, dividends, splits
beat_eps_last 43 beat_revenue_last 26 beat_streak 14 beats_last4 9 cut_last 32 days_since_earnings 19 days_since_ex_div 8 days_since_reverse_split 4 days_since_split 21 days_to_earnings 59 days_to_ex_div 27 days_to_split 20 div_change_pct 8 div_count_ttm 16 div_ttm 5 div_yield_ttm 61 eps_growth_yoy 10 eps_surprise_pct 11 eps_year_ago 8 last_div_amount 8 last_earnings_gap 21 last_earnings_move 42 last_eps 11 last_eps_est 1 last_revenue 1 last_split_ratio 15 miss_eps_last 6 miss_revenue_last 1 misses_last4 6 next_div_amount 8 next_report_amc 15 next_report_bmo 12 next_split_ratio 1 pays_dividend 31 pre_earnings_close 13 prev_div_amount 1 raised_last 34 revenue_growth_yoy 10 revenue_surprise_pct 3 revenue_year_ago 1 reverse_split_last 13 splits_5y 10 years_of_growth 32