Model

Quant researcher: 21 ways to use Ora

Signal ideas as exact rules, compared with forecasts, across a universe and over time. Each example is a complete, runnable request with the real answers it returned (42 requests, captured 2026-10-31), what they mean and, where it fits, the action it would send.

Run withAnswers were captured on ora-fin-0.1.1. Another model changes the request JSON and the Playground link; run it there to see its answers.

Rule functions and facts used by this player (83)

sma 7 offset 5 rsi 4 ref 3 roc 2 ema 2 zscore 2 highest 2 abs 2 log 2 sum 2 bblower 2 bbupper 2 crossup 2 linreg 1 rec 1 adx 1 barssince 1 diminus 1 diplus 1 avg 1 median 1 obv 1 percentrank 1 doji 1 engulfing_bear 1 engulfing_bull 1 evening_star 1 hammer 1 harami_bear 1 harami_bull 1 marubozu 1 morning_star 1 shooting_star 1 dark_cloud 1 dragonfly_doji 1 gravestone_doji 1 hanging_man 1 inverted_hammer 1 piercing_line 1 spinning_top 1 three_black_crows 1 three_white_soldiers 1 tweezer_bottom 1 greatest 1 hl2 1 hlc3 1 least 1 ohlc4 1 tweezer_top 1 between 1 iif 1 atr_pct 1 sqrt 1 std 1 beat_streak 1 eps_surprise_pct 1 last_earnings_gap 1 pre_earnings_close 1 revenue_surprise_pct 1 div_change_pct 1 div_count_ttm 1 div_yield_ttm 1 years_of_growth 1 bbmid 1 cum 1 sign 1 swinghigh 1 swinglow 1 cci 1 stochd 1 stochk 1 willr 1 rma 1 wma 1 highestbars 1 days_since_earnings 1 days_since_split 1 days_to_earnings 1 days_to_split 1 last_earnings_move 1 reverse_split_last 1 lowestbars 1

Examples 11–20 of 21 · page 2 of 3

Quant researcher · example 11

Earnings surprise as a factor across five names

Collect surprise, streak and reaction facts across a small universe as inputs to a post-earnings factor.

ora-fin-0.1.15 symbols, one request each6 questions

State5 symbols
Questions6 asked
Answersreal, captured
Actionsnone

State

{"symbol":"AAPL"} then NVDA, COST, JPM, NKE, one request each. The server fills in the latest completed session.

Questions

`surprise5`	rule	`eps_surprise_pct > 5` EPS beat by more than 5%
`rev_surp`	rule	`revenue_surprise_pct > 1` Revenue beat by more than 1%
`streak`	rule	`beat_streak >= 3` Beat EPS three or more quarters in a row
`gap`	rule	`last_earnings_gap > 0` Gapped up after the last report
`above_pre`	rule	`C > pre_earnings_close` Holding above the pre-earnings close
`beat_next`	forecast	Will the stock beat earnings next quarter? Beating earnings next quarter

Answers

Symbol	`surprise5`rule	`rev_surp`rule	`streak`rule	`gap`rule	`above_pre`rule	`beat_next`forecast
`AAPL`	0.9463	0.0537	0.9463	0.0537	0.831	0.545
`NVDA`	0.9463	0.9463	0.9463	0.9463	0.2141	0.516
`COST`	0.0537	0.0537	0.0683	0.0537	0.9463	0.481
`JPM`	0.0844	0.0537	0.0537	0.9463	0.6505	0.506
`NKE`	0.9463	0.0537	0.9463	0.0537	0.924	0.567

true false not known for rules; forecasts are odds. Hover a column for its question.

What it means

Session of 2026-10-30, 5 symbols: EPS beat by more than 5%: true for AAPL, NVDA, NKE of 5. Revenue beat by more than 1%: true for NVDA of 5. Beat EPS three or more quarters in a row: true for AAPL, NVDA, NKE of 5. Gapped up after the last report: true for NVDA, JPM of 5. Highest odds for “Beating earnings next quarter”: NKE at 57%.

Facts are point in time (they count only from the reaction session), so they are safe features; the beat-next forecast is the target to compare against.

Request JSON (AAPL; the others differ only in the symbol)

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "AAPL"
  },
  "questions": {
    "surprise5": {
      "type": "yes_no",
      "ask": "eps_surprise_pct > 5"
    },
    "rev_surp": {
      "type": "yes_no",
      "ask": "revenue_surprise_pct > 1"
    },
    "streak": {
      "type": "yes_no",
      "ask": "beat_streak >= 3"
    },
    "gap": {
      "type": "yes_no",
      "ask": "last_earnings_gap > 0"
    },
    "above_pre": {
      "type": "yes_no",
      "ask": "C > pre_earnings_close"
    },
    "beat_next": {
      "type": "yes_no",
      "instructions": "Will the stock beat earnings next quarter?"
    }
  }
}

Response JSON (AAPL, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "surprise5": {
      "yes_no": 0.9463,
      "rule": "eps_surprise_pct > 5",
      "basis": "rule"
    },
    "rev_surp": {
      "yes_no": 0.0537,
      "rule": "revenue_surprise_pct > 1",
      "basis": "rule"
    },
    "streak": {
      "yes_no": 0.9463,
      "rule": "beat_streak >= 3",
      "basis": "rule"
    },
    "gap": {
      "yes_no": 0.0537,
      "rule": "last_earnings_gap > 0",
      "basis": "rule"
    },
    "above_pre": {
      "yes_no": 0.831,
      "rule": "C > pre_earnings_close",
      "basis": "rule"
    },
    "beat_next": {
      "yes_no": 0.545
    }
  },
  "context": {
    "symbol": "AAPL",
    "as_of": "2026-10-30"
  }
}

beat_streak eps_surprise_pct last_earnings_gap pre_earnings_close revenue_surprise_pct

Try it in the Playground

Quant researcher · example 12

Dividend factor features for a yield study

Yield, growth record and payout changes for income stocks, as inputs to a dividend-growth factor.

ora-fin-0.1.15 symbols, one request each6 questions

State5 symbols
Questions6 asked
Answersreal, captured
Actionsnone

State

{"symbol":"KO"} then PEP, PG, MO, VZ, one request each. The server fills in the latest completed session.

Questions

`yield`	rule	`div_yield_ttm > 3` Trailing yield above 3%
`growth`	rule	`years_of_growth >= 10` Ten or more years of dividend growth
`change`	rule	`div_change_pct > 3` Last payment raised more than 3%
`count`	rule	`div_count_ttm >= 4` Pays at least quarterly
`trend`	English → rule	Is the stock above its 200-day moving average?
`drop5`	forecast	Will it drop at least 5% at some point in the next month? A 5% drawdown within a month

Answers

Symbol	`yield`rule	`growth`rule	`change`rule	`count`rule	`trend`rule	`drop5`forecast
`KO`	0.0537	0.9463	0.2223	0.55	0.9463	0.361
`PEP`	0.9463	0.9463	0.2223	0.55	0.1034	0.418
`PG`	0.2091	0.9463	0.2223	0.55	0.9431	0.357
`MO`	0.9463	0.9463	0.9463	0.55	0.9463	0.543
`VZ`	0.9463	0.9463	0.2223	0.55	0.3448	0.421

true false not known for rules; forecasts are odds. Hover a column for its question.

What it means

Session of 2026-10-30, 5 symbols: Trailing yield above 3%: true for PEP, MO, VZ of 5. Ten or more years of dividend growth: true for KO, PEP, PG, MO, VZ of 5. Last payment raised more than 3%: true for MO of 5. Pays at least quarterly: true for none of 5. Highest odds for “A 5% drawdown within a month”: MO at 54%.

Dividend facts are split-adjusted and point in time; pair them with the drawdown forecast to study income with lower risk.

Request JSON (KO; the others differ only in the symbol)

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "KO"
  },
  "questions": {
    "yield": {
      "type": "yes_no",
      "ask": "div_yield_ttm > 3"
    },
    "growth": {
      "type": "yes_no",
      "ask": "years_of_growth >= 10"
    },
    "change": {
      "type": "yes_no",
      "ask": "div_change_pct > 3"
    },
    "count": {
      "type": "yes_no",
      "ask": "div_count_ttm >= 4"
    },
    "trend": {
      "type": "yes_no",
      "instructions": "Is the stock above its 200-day moving average?"
    },
    "drop5": {
      "type": "yes_no",
      "instructions": "Will it drop at least 5% at some point in the next month?"
    }
  }
}

Response JSON (KO, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "yield": {
      "yes_no": 0.0537,
      "rule": "div_yield_ttm > 3",
      "basis": "rule"
    },
    "growth": {
      "yes_no": 0.9463,
      "rule": "years_of_growth >= 10",
      "basis": "rule"
    },
    "change": {
      "yes_no": 0.2223,
      "rule": "div_change_pct > 3",
      "basis": "rule"
    },
    "count": {
      "yes_no": 0.55,
      "rule": "div_count_ttm >= 4",
      "basis": "rule"
    },
    "trend": {
      "yes_no": 0.9463,
      "rule": "C > sma(C, 200)",
      "basis": "comparison"
    },
    "drop5": {
      "yes_no": 0.361
    }
  },
  "context": {
    "symbol": "KO",
    "as_of": "2026-10-30"
  }
}

div_change_pct div_count_ttm div_yield_ttm sma years_of_growth

Try it in the Playground

Quant researcher · example 13

Nightly signal snapshot to the research warehouse

After each close, record a fixed signal set for a test universe and post it to the research database for later labelling.

ora-fin-0.1.15 symbols, one request each6 questions1 actionworkflow · Mon–Fri at 17:30 ET

ScheduleMon–Fri at 17:30 ET
State5 symbols
Questions6 asked
Answersreal, captured
Actions1 rule · dry run

State

{"symbol":"SPY"} then QQQ, IWM, TLT, GLD, one request each. The server fills in the latest completed session.

Questions

`trend`	rule	`C > sma(C, 200)` Above the 200-day
`mom`	rule	`roc(C, 20) > 0` Positive 20-day momentum
`os`	rule	`rsi(C, 2) < 10` Two-day RSI under 10
`squeeze`	rule	`(bbupper(C, 20, 2) - bblower(C, 20, 2)) / bbmid(C, 20) < 0.06` Bollinger bands narrower than 6% of price
`up_week`	forecast	Will the stock be higher in a week? Higher in a week
`drop5`	forecast	Will it drop at least 5% at some point in the next month? A 5% drawdown within a month

Answers

Symbol	`trend`rule	`mom`rule	`os`rule	`squeeze`rule	`up_week`forecast	`drop5`forecast	Fired
`SPY`	0.9451	0.1458	0.5164	0.899	0.598	0.203	`snapshot`
`QQQ`	0.7987	0.0632	0.5356	0.0789	0.561	0.443	`snapshot`
`IWM`	0.5564	0.3495	0.1938	0.8386	0.526	0.234	`snapshot`
`TLT`	0.1127	0.934	0.0663	0.1371	0.561	0.164	`snapshot`
`GLD`	0.0537	0.1553	0.594	0.278	0.566	0.435	`snapshot`

true false not known for rules; forecasts are odds. Hover a column for its question.