Model

Market maker: 20 ways to use Ora

Quotes two-sided markets: volatility regime, event risk, gaps and inventory warnings. Each example is a complete, runnable request with the real answers it returned (36 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 (56)

offset 10 ref 6 atr 5 abs 5 log 4 sqrt 4 std 4 sma 4 atr_pct 3 zscore 3 avg 3 lowest 3 rsi 2 bblower 2 percentrank 2 highest 2 days_to_earnings 1 last_earnings_gap 1 last_earnings_move 1 next_report_amc 1 macd 1 macdsignal 1 bbmid 1 bbupper 1 max 1 min 1 spinning_top 1 outside_bar 1 evening_star 1 harami_bear 1 shooting_star 1 tweezer_top 1 days_since_ex_div 1 days_to_ex_div 1 div_count_ttm 1 last_div_amount 1 next_div_amount 1 pays_dividend 1 days_since_split 1 days_to_split 1 reverse_split_last 1 splits_5y 1 adx 1 diminus 1 diplus 1 swinghigh 1 swinglow 1 median 1 inside_bar 1 marubozu 1 greatest 1 least 1 barssince 1 lowestbars 1 crossdown 1 crossup 1

Examples 11–20 of 20 · page 2 of 2

Market maker · example 11

T ex-dividend: adjust fair value on the ex-date

Make sure the quoting model drops fair value by the dividend when the stock goes ex.

ora-fin-0.1.1T5 questions2 actions

StateT
Questions5 asked
Answersreal, captured
Actions2 rules · dry run

State

{"symbol":"T"} The server fills in the latest completed session.

Questions

`ex_soon`	rule	`days_to_ex_div <= 30` Goes ex-dividend within 30 days
`recent_ex`	rule	`days_since_ex_div <= 1` Went ex-dividend today or yesterday
`pays`	rule	`pays_dividend > 0.5` Pays a dividend
`quarterly`	rule	`div_count_ttm >= 4` Pays at least quarterly
`next_up`	English → rule	Is the next declared dividend larger than the last one?

Answers

Question	Answer	Reading
`ex_soon` Goes ex-dividend within 30 days	0.0537	false
`recent_ex` Went ex-dividend today or yesterday	0.0537	false
`pays` Pays a dividend	0.8591	true
`quarterly` Pays at least quarterly	0.55	on the line (true)
`next_up` Is the next declared dividend larger than the last one compiled to `next_div_amount > last_div_amount`	0.50	not known

Actions

Rules on the answers decide what to send.

recent_ex >= 0.6→Webhookpricing-model

ex_soon >= 0.6→Slackquote-desk

What each action would send 0 of 2 fired · dry run, nothing sent

ex_adjustrule false: skipped

upcomingrule false: skipped

What it means

For T on the session of 2026-10-30: True now: Pays a dividend. Not true: Goes ex-dividend within 30 days; Went ex-dividend today or yesterday. On the line: Pays at least quarterly. Not known (no data on record): Is the next declared dividend larger than the last one. No action fired: every rule was false.

Dividend facts drive a fair-value adjustment only on the ex-date; an upcoming ex-date is a reminder.

Request JSON

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "T"
  },
  "questions": {
    "ex_soon": {
      "type": "yes_no",
      "ask": "days_to_ex_div <= 30"
    },
    "recent_ex": {
      "type": "yes_no",
      "ask": "days_since_ex_div <= 1"
    },
    "pays": {
      "type": "yes_no",
      "ask": "pays_dividend > 0.5"
    },
    "quarterly": {
      "type": "yes_no",
      "ask": "div_count_ttm >= 4"
    },
    "next_up": {
      "type": "yes_no",
      "instructions": "Is the next declared dividend larger than the last one?"
    }
  },
  "actions": [
    {
      "id": "ex_adjust",
      "when": "recent_ex >= 0.6",
      "do": "webhook",
      "connection": "pricing-model",
      "body": {
        "symbol": "{{symbol}}",
        "action": "apply_ex_dividend",
        "as_of": "{{as_of}}"
      }
    },
    {
      "id": "upcoming",
      "when": "ex_soon >= 0.6",
      "do": "slack",
      "connection": "quote-desk",
      "message": "{{symbol}}: ex-dividend within 30 days. Check the dividend input in the pricing model."
    }
  ],
  "dry_run": true
}

Response JSON (T, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "ex_soon": {
      "yes_no": 0.0537,
      "rule": "days_to_ex_div <= 30",
      "basis": "rule"
    },
    "recent_ex": {
      "yes_no": 0.0537,
      "rule": "days_since_ex_div <= 1",
      "basis": "rule"
    },
    "pays": {
      "yes_no": 0.8591,
      "rule": "pays_dividend > 0.5",
      "basis": "rule"
    },
    "quarterly": {
      "yes_no": 0.55,
      "rule": "div_count_ttm >= 4",
      "basis": "rule"
    },
    "next_up": {
      "yes_no": 0.5,
      "rule": "next_div_amount > last_div_amount",
      "basis": "pattern"
    }
  },
  "context": {
    "symbol": "T",
    "as_of": "2026-10-30"
  },
  "actions": [
    {
      "id": "ex_adjust",
      "fired": false,
      "status": "skipped"
    },
    {
      "id": "upcoming",
      "fired": false,
      "status": "skipped"
    }
  ]
}

days_since_ex_div days_to_ex_div div_count_ttm last_div_amount next_div_amount pays_dividend

Try it in the Playground

Market maker · example 12

Split check for quoting: NVDA, AAPL, TSLA

Confirm no split is announced that would change tick size, lot and quote parameters.

ora-fin-0.1.13 symbols, one request each4 questions

State3 symbols
Questions4 asked
Answersreal, captured
Actionsnone

State

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

Questions

`announced`	rule	`days_to_split <= 365` A split is announced
`split_3y`	English → rule	Has the stock split in the past three years?
`reverse`	English → rule	Was the last split a reverse split?
`multi`	rule	`splits_5y >= 2` Two or more splits in five years

Answers

Symbol	`announced`rule	`split_3y`rule	`reverse`rule	`multi`rule
`NVDA`	0.0537	0.9463	0.1409	0.1409
`AAPL`	0.0537	0.0537	0.1409	0.0683
`TSLA`	0.0537	0.0537	0.1409	0.1409

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

What it means

Session of 2026-10-30, 3 symbols: A split is announced: true for none of 3. Has the stock split in the past three years: true for NVDA of 3. Was the last split a reverse split: true for none of 3. Two or more splits in five years: true for none of 3.

An announced split changes quoting parameters on the effective date; recent splits explain changes in historic share volumes.

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

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "NVDA"
  },
  "questions": {
    "announced": {
      "type": "yes_no",
      "ask": "days_to_split <= 365"
    },
    "split_3y": {
      "type": "yes_no",
      "instructions": "Has the stock split in the past three years?"
    },
    "reverse": {
      "type": "yes_no",
      "instructions": "Was the last split a reverse split?"
    },
    "multi": {
      "type": "yes_no",
      "ask": "splits_5y >= 2"
    }
  }
}

Response JSON (NVDA, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "announced": {
      "yes_no": 0.0537,
      "rule": "days_to_split <= 365",
      "basis": "rule"
    },
    "split_3y": {
      "yes_no": 0.9463,
      "rule": "days_since_split <= 1095",
      "basis": "pattern"
    },
    "reverse": {
      "yes_no": 0.1409,
      "rule": "reverse_split_last > 0.5",
      "basis": "pattern"
    },
    "multi": {
      "yes_no": 0.1409,
      "rule": "splits_5y >= 2",
      "basis": "rule"
    }
  },
  "context": {
    "symbol": "NVDA",
    "as_of": "2026-10-30"
  }
}

days_since_split days_to_split reverse_split_last splits_5y

Try it in the Playground

Market maker · example 13

GE: strong trend means wider inventory limits on one side

Use ADX and directional lines to decide whether to allow more inventory with the trend.

ora-fin-0.1.1GE5 questions

StateGE
Questions5 asked
Answersreal, captured
Actionsnone

State

{"symbol":"GE"} The server fills in the latest completed session.

Questions

`adx`	rule	`adx(14) > 25` Trending (ADX above 25)
`up`	rule	`adx(14) > 20 and diplus(14) > diminus(14)` Trending up (ADX over 20 and +DI over −DI)
`dmi`	rule	`diminus(14) > diplus(14)` -DI above +DI
`hh_hl`	English → rule	Is the stock making higher swing highs and higher swing lows?
`up_week`	forecast	Will the stock be higher in a week? Higher in a week

Answers

Question	Answer	Reading
`adx` Trending (ADX above 25)	0.1827	false
`up` Trending up (ADX over 20 and +DI over −DI)	0.5561	on the line (true)
`dmi` -DI above +DI	0.4439	on the line (false)
`hh_hl` Is the stock making higher swing highs and higher swing lows compiled to `(swinghigh(5, 1) > swinghigh(5, 2)) and (swinglow(5, 1) > swinglow(5, 2))`	0.1895	false
`up_week` Higher in a week	0.496	50% · close to even

What it means

For GE on the session of 2026-10-30: Not true: Trending (ADX above 25); Is the stock making higher swing highs and higher swing lows. On the line: Trending up (ADX over 20 and +DI over −DI); -DI above +DI. Forecasts: Higher in a week 50%.

A strong directional trend argues for asymmetric inventory limits, never for taking a view.

Request JSON

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "GE"
  },
  "questions": {
    "adx": {
      "type": "yes_no",
      "ask": "adx(14) > 25"
    },
    "up": {
      "type": "yes_no",
      "ask": "adx(14) > 20 and diplus(14) > diminus(14)"
    },
    "dmi": {
      "type": "yes_no",
      "ask": "diminus(14) > diplus(14)"
    },
    "hh_hl": {
      "type": "yes_no",
      "instructions": "Is the stock making higher swing highs and higher swing lows?"
    },
    "up_week": {
      "type": "yes_no",
      "instructions": "Will the stock be higher in a week?"
    }
  }
}

Response JSON (GE, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "adx": {
      "yes_no": 0.1827,
      "rule": "adx(14) > 25",
      "basis": "rule"
    },
    "up": {
      "yes_no": 0.5561,
      "rule": "adx(14) > 20 and diplus(14) > diminus(14)",
      "basis": "rule"
    },
    "dmi": {
      "yes_no": 0.4439,
      "rule": "diminus(14) > diplus(14)",
      "basis": "rule"
    },
    "hh_hl": {
      "yes_no": 0.1895,
      "rule": "(swinghigh(5, 1) > swinghigh(5, 2)) and (swinglow(5, 1) > swinglow(5, 2))",
      "basis": "pattern"
    },
    "up_week": {
      "yes_no": 0.496
    }
  },
  "context": {
    "symbol": "GE",
    "as_of": "2026-10-30"
  }
}

adx diminus diplus swinghigh swinglow

Try it in the Playground

Market maker · example 14

IWM: where is price in its recent distribution?

Use percentile rank and median distance to judge whether quotes should lean for mean reversion.

ora-fin-0.1.1IWM5 questions

StateIWM
Questions5 asked
Answersreal, captured
Actionsnone

State

{"symbol":"IWM"} The server fills in the latest completed session.

Questions

`prank`	rule	`percentrank(C, 50) < 20` Close in the bottom fifth of the last 50 closes
`below_med`	rule	`C < median(C, 20)` Close below its 20-day median
`zs`	rule	`zscore(C, 20) < -2` Two deviations under the 20-day mean
`rsi2`	rule	`rsi(C, 2) < 10` Two-day RSI under 10
`up_tom`	forecast	Will the stock be up tomorrow? Up tomorrow

Answers

Question	Answer	Reading
`prank` Close in the bottom fifth of the last 50 closes	0.2762	false
`below_med` Close below its 20-day median	0.2882	false
`zs` Two deviations under the 20-day mean	0.0668	false
`rsi2` Two-day RSI under 10	0.1938	false
`up_tom` Up tomorrow	0.486	49% · close to even

What it means

For IWM on the session of 2026-10-30: Not true: Close in the bottom fifth of the last 50 closes; Close below its 20-day median; Two deviations under the 20-day mean; Two-day RSI under 10. Forecasts: Up tomorrow 49%.

Low percentile and oversold short-term readings support a slight bid lean; it is unwound quickly.

Request JSON

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "IWM"
  },
  "questions": {
    "prank": {
      "type": "yes_no",
      "ask": "percentrank(C, 50) < 20"
    },
    "below_med": {
      "type": "yes_no",
      "ask": "C < median(C, 20)"
    },
    "zs": {
      "type": "yes_no",
      "ask": "zscore(C, 20) < -2"
    },
    "rsi2": {
      "type": "yes_no",
      "ask": "rsi(C, 2) < 10"
    },
    "up_tom": {
      "type": "yes_no",
      "instructions": "Will the stock be up tomorrow?"
    }
  }
}

Response JSON (IWM, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "prank": {
      "yes_no": 0.2762,
      "rule": "percentrank(C, 50) < 20",
      "basis": "rule"
    },
    "below_med": {
      "yes_no": 0.2882,
      "rule": "C < median(C, 20)",
      "basis": "rule"
    },
    "zs": {
      "yes_no": 0.0668,
      "rule": "zscore(C, 20) < -2",
      "basis": "rule"
    },
    "rsi2": {
      "yes_no": 0.1938,
      "rule": "rsi(C, 2) < 10",
      "basis": "rule"
    },
    "up_tom": {
      "yes_no": 0.486
    }
  },
  "context": {
    "symbol": "IWM",
    "as_of": "2026-10-30"
  }
}

median percentrank rsi zscore

Try it in the Playground

Market maker · example 15

AMZN inside bar: prepare for a break either way

After an inside bar, widen slightly at the edges of yesterday's range in case of a break.

ora-fin-0.1.1AMZN5 questions

StateAMZN
Questions5 asked
Answersreal, captured
Actionsnone

State

{"symbol":"AMZN"} The server fills in the latest completed session.

Questions

`inside`	rule	`inside_bar()` inside bar candle: Today's high and low are inside yesterday's (equal counts).
`bo`	English → rule	Did the stock break out above yesterday's inside bar?
`nr7`	rule	`(H - L) < lowest(H - L, 6)` Narrowest range of the last seven sessions (NR7)
`marubozu`	rule	`marubozu()` marubozu candle: Body at least 90% of the range: almost no wicks.
`big5`	forecast	Will there be a big move in either direction in the next 5 days? A big move either way in 5 days

Answers

Question	Answer	Reading
`inside` inside bar candle: Today's high and low are inside yesterday's (equal counts).	0.0537	false
`bo` Did the stock break out above yesterday's inside bar compiled to `(H[-1] <= H[-2]) and (L[-1] >= L[-2]) and (C > H[-1])`	0.0537	false
`nr7` Narrowest range of the last seven sessions (NR7)	0.0537	false
`marubozu` marubozu candle: Body at least 90% of the range: almost no wicks.	0.0555	false
`big5` A big move either way in 5 days	0.276	28% · unlikely

What it means

For AMZN on the session of 2026-10-30: Not true: inside bar candle: Today's high and low are inside yesterday's (equal counts).; Did the stock break out above yesterday's inside bar; Narrowest range of the last seven sessions (NR7); marubozu candle: Body at least 90% of the range: almost no wicks.. Forecasts: A big move either way in 5 days 28%.

An inside bar or NR7 day concentrates risk at the edges; the forecast estimates how likely a big move is.

Request JSON

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "AMZN"
  },
  "questions": {
    "inside": {
      "type": "yes_no",
      "ask": "inside_bar()"
    },
    "bo": {
      "type": "yes_no",
      "instructions": "Did the stock break out above yesterday's inside bar?"
    },
    "nr7": {
      "type": "yes_no",
      "ask": "(H - L) < lowest(H - L, 6)"
    },
    "marubozu": {
      "type": "yes_no",
      "ask": "marubozu()"
    },
    "big5": {
      "type": "yes_no",
      "instructions": "Will there be a big move in either direction in the next 5 days?"
    }
  }
}

Response JSON (AMZN, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "inside": {
      "yes_no": 0.0537,
      "rule": "inside_bar()",
      "basis": "rule"
    },
    "bo": {
      "yes_no": 0.0537,
      "rule": "(H[-1] <= H[-2]) and (L[-1] >= L[-2]) and (C > H[-1])",
      "basis": "pattern"
    },
    "nr7": {
      "yes_no": 0.0537,
      "rule": "(H - L) < lowest(H - L, 6)",
      "basis": "rule"
    },
    "marubozu": {
      "yes_no": 0.0555,
      "rule": "marubozu()",
      "basis": "rule"
    },
    "big5": {
      "yes_no": 0.276
    }
  },
  "context": {
    "symbol": "AMZN",
    "as_of": "2026-10-30"
  }
}

inside_bar lowest marubozu offset

Try it in the Playground

Market maker · example 16

HYG and JNK: credit ETF stress check

When high-yield ETFs break down on volume, widen quotes and alert the desk.

ora-fin-0.1.12 symbols, one request each4 questions1 action

State2 symbols
Questions4 asked
Answersreal, captured
Actions1 rule · dry run

State

{"symbol":"HYG"} then JNK, one request each. The server fills in the latest completed session.

Questions

`bd`	rule	`C < lowest(L, 20)` Closed under the 20-day low
`down_vol`	English → rule	Did the stock fall on above-average volume?
`below50`	rule	`C < sma(C, 50)` Close below the 50-day average
`drop5`	forecast	Will it drop at least 5% at some point in the next month? A 5% drawdown within a month

Answers

Symbol	`bd`rule	`down_vol`rule	`below50`rule	`drop5`forecast	Fired
`HYG`	0.0811	0.6834	0.8086	0.009	`stress`
`JNK`	0.0813	0.5388	0.8258	0.011	none

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

Actions

Rules on the answers decide what to send. Each symbol runs its own request, so each one can fire.

bd >= 0.6 or down_vol >= 0.6→Slackquote-desk

HYG 1 of 1 fired · dry run, nothing sent

stresswould send (dry run)Slack → quote-desk

{
  "text": "HYG (2026-10-30): credit ETF under pressure (20-day low break 8%, down on volume 68%). Widen and cut size."
}

JNK 0 of 1 fired · dry run, nothing sent

What it means

Session of 2026-10-30, 2 symbols: Closed under the 20-day low: true for none of 2. Did the stock fall on above-average volume: true for HYG of 2. Close below the 50-day average: true for HYG, JNK of 2. Highest odds for “A 5% drawdown within a month”: JNK at 1%. stress fired for HYG.

Credit ETF stress often spreads; the alert gives the desk time to adjust before the creation basket moves.

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

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "HYG"
  },
  "questions": {
    "bd": {
      "type": "yes_no",
      "ask": "C < lowest(L, 20)"
    },
    "down_vol": {
      "type": "yes_no",
      "instructions": "Did the stock fall on above-average volume?"
    },
    "below50": {
      "type": "yes_no",
      "ask": "C < sma(C, 50)"
    },
    "drop5": {
      "type": "yes_no",
      "instructions": "Will it drop at least 5% at some point in the next month?"
    }
  },
  "actions": [
    {
      "id": "stress",
      "when": "bd >= 0.6 or down_vol >= 0.6",
      "do": "slack",
      "connection": "quote-desk",
      "message": "{{symbol}} ({{as_of}}): credit ETF under pressure (20-day low break {{bd|pct}}, down on volume {{down_vol|pct}}). Widen and cut size."
    }
  ],
  "dry_run": true
}

Response JSON (HYG, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "bd": {
      "yes_no": 0.0811,
      "rule": "C < lowest(L, 20)",
      "basis": "rule"
    },
    "down_vol": {
      "yes_no": 0.6834,
      "rule": "(C < C[-1]) and (V > ref(avg(V, 20), -1))",
      "basis": "pattern"
    },
    "below50": {
      "yes_no": 0.8086,
      "rule": "C < sma(C, 50)",
      "basis": "rule"
    },
    "drop5": {
      "yes_no": 0.009
    }
  },
  "context": {
    "symbol": "HYG",
    "as_of": "2026-10-30"
  },
  "actions": [
    {
      "id": "stress",
      "fired": true,
      "status": "dry_run",
      "do": "slack",
      "connection": "quote-desk",
      "preview": {
        "text": "HYG (2026-10-30): credit ETF under pressure (20-day low break 8%, down on volume 68%). Widen and cut size."
      }
    }
  ]
}

avg lowest offset ref sma

Try it in the Playground

Market maker · example 17

Spot bitcoin ETFs: IBIT, FBTC, GBTC quoting regime

Check volatility and gap risk for the bitcoin ETFs, whose underlying trades all weekend.

ora-fin-0.1.13 symbols, one request each4 questionsworkflow · Mon at 08:45 ET

ScheduleMon at 08:45 ET
State3 symbols
Questions4 asked
Answersreal, captured
Actionsnone

State

{"symbol":"IBIT"} then FBTC, GBTC, one request each. The server fills in the latest completed session.

Questions

`atr3`	rule	`atr_pct(14) > 3` A typical day moves more than 3%
`gap`	rule	`abs(O - C[-1]) > 0.5 * ref(atr(14), -1)` Gap bigger than half an ATR
`hv`	rule	`std(log(C / C[-1]), 20) * sqrt(252) > 0.4` Annualized 20-day volatility above 40%
`gap_dn`	forecast	Will it gap down tomorrow? A gap down tomorrow

Answers

Symbol	`atr3`rule	`gap`rule	`hv`rule	`gap_dn`forecast
`IBIT`	0.2365	0.9444	0.1239	0.134
`FBTC`	0.1881	0.9439	0.1181	0.15
`GBTC`	0.1754	0.9438	0.1211	0.133

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

What it means

Session of 2026-10-30, 3 symbols: A typical day moves more than 3%: true for none of 3. Gap bigger than half an ATR: true for IBIT, FBTC, GBTC of 3. Annualized 20-day volatility above 40%: true for none of 3. Highest odds for “A gap down tomorrow”: FBTC at 15%.

Monday mornings carry the weekend's move; high gap and ATR readings mean wider opening quotes.

As a scheduled workflow (Mon at 08:45 ET)

Create it under Workflows in the console: it runs these questions for every symbol on the schedule and fires the actions per symbol. The answers above are what one run returned.

{
  "name": "Spot bitcoin ETFs: IBIT, FBTC, GBTC quoting regime",
  "symbols": "IBIT FBTC GBTC",
  "days": [
    1
  ],
  "at_time": "08:45",
  "model": "ora-fin-0.1.1",
  "questions": {
    "atr3": {
      "type": "yes_no",
      "ask": "atr_pct(14) > 3"
    },
    "gap": {
      "type": "yes_no",
      "ask": "abs(O - C[-1]) > 0.5 * ref(atr(14), -1)"
    },
    "hv": {
      "type": "yes_no",
      "ask": "std(log(C / C[-1]), 20) * sqrt(252) > 0.4"
    },
    "gap_dn": {
      "type": "yes_no",
      "instructions": "Will it gap down tomorrow?"
    }
  }
}

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

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "IBIT"
  },
  "questions": {
    "atr3": {
      "type": "yes_no",
      "ask": "atr_pct(14) > 3"
    },
    "gap": {
      "type": "yes_no",
      "ask": "abs(O - C[-1]) > 0.5 * ref(atr(14), -1)"
    },
    "hv": {
      "type": "yes_no",
      "ask": "std(log(C / C[-1]), 20) * sqrt(252) > 0.4"
    },
    "gap_dn": {
      "type": "yes_no",
      "instructions": "Will it gap down tomorrow?"
    }
  }
}

Response JSON (IBIT, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "atr3": {
      "yes_no": 0.2365,
      "rule": "atr_pct(14) > 3",
      "basis": "rule"
    },
    "gap": {
      "yes_no": 0.9444,
      "rule": "abs(O - C[-1]) > 0.5 * ref(atr(14), -1)",
      "basis": "rule"
    },
    "hv": {
      "yes_no": 0.1239,
      "rule": "std(log(C / C[-1]), 20) * sqrt(252) > 0.4",
      "basis": "rule"
    },
    "gap_dn": {
      "yes_no": 0.134
    }
  },
  "context": {
    "symbol": "IBIT",
    "as_of": "2026-10-30"
  }
}

abs atr atr_pct log offset ref sqrt std

Try it in the Playground

Market maker · example 18

JPM: closing strength and the next morning's quote

Use the close location and mid-price measures to set the opening reference for the next session.

ora-fin-0.1.1JPM5 questions

StateJPM
Questions5 asked
Answersreal, captured
Actionsnone

State

{"symbol":"JPM"} The server fills in the latest completed session.

Questions

`top`	rule	`(C - L) / (H - L) > 0.75` Closed in the top quarter of the day's range
`least`	rule	`least(O, C) - L > 2 * abs(C - O)` Lower wick over twice the body
`greatest`	rule	`H - greatest(O, C) > 2 * abs(C - O)` Upper wick over twice the body
`green`	rule	`C > O` Closed above its open
`up_tom`	forecast	Will the stock be up tomorrow? Up tomorrow

Answers

Question	Answer	Reading
`top` Closed in the top quarter of the day's range	0.0753	false
`least` Lower wick over twice the body	0.0547	false
`greatest` Upper wick over twice the body	0.0537	false
`green` Closed above its open	0.0597	false
`up_tom` Up tomorrow	0.526	53% · close to even

What it means

For JPM on the session of 2026-10-30: Not true: Closed in the top quarter of the day's range; Lower wick over twice the body; Upper wick over twice the body; Closed above its open. Forecasts: Up tomorrow 53%.

A long lower wick and a strong close suggest support underneath; the opening reference leans slightly higher.

Request JSON

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "JPM"
  },
  "questions": {
    "top": {
      "type": "yes_no",
      "ask": "(C - L) / (H - L) > 0.75"
    },
    "least": {
      "type": "yes_no",
      "ask": "least(O, C) - L > 2 * abs(C - O)"
    },
    "greatest": {
      "type": "yes_no",
      "ask": "H - greatest(O, C) > 2 * abs(C - O)"
    },
    "green": {
      "type": "yes_no",
      "ask": "C > O"
    },
    "up_tom": {
      "type": "yes_no",
      "instructions": "Will the stock be up tomorrow?"
    }
  }
}

Response JSON (JPM, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "top": {
      "yes_no": 0.0753,
      "rule": "(C - L) / (H - L) > 0.75",
      "basis": "rule"
    },
    "least": {
      "yes_no": 0.0547,
      "rule": "least(O, C) - L > 2 * abs(C - O)",
      "basis": "rule"
    },
    "greatest": {
      "yes_no": 0.0537,
      "rule": "H - greatest(O, C) > 2 * abs(C - O)",
      "basis": "rule"
    },
    "green": {
      "yes_no": 0.0597,
      "rule": "C > O",
      "basis": "rule"
    },
    "up_tom": {
      "yes_no": 0.526
    }
  },
  "context": {
    "symbol": "JPM",
    "as_of": "2026-10-30"
  }
}

abs greatest least

Try it in the Playground

Market maker · example 19

PEP: quiet since the last breakout, stay tight

When a stock has not broken out in weeks and ranges are small, keep quotes tight.

ora-fin-0.1.1PEP5 questions

StatePEP
Questions5 asked
Answersreal, captured
Actionsnone

State

{"symbol":"PEP"} The server fills in the latest completed session.

Questions

`quiet`	rule	`barssince(C > highest(C, 20)) > 30` No 20-day breakout for 30 sessions
`since_low`	rule	`barssince(C < lowest(C, 20)) > 10` More than ten sessions since the last 20-day closing low
`lowbars`	rule	`lowestbars(L, 20) >= 10` The 20-day low is at least ten sessions old
`dry`	rule	`V < 0.6 * avg(V, 20)` Volume under 60% of normal
`calm`	forecast	Will volatility calm down over the next 5 days? Volatility calming over 5 days

Answers

Question	Answer	Reading
`quiet` No 20-day breakout for 30 sessions	0.1482	false
`since_low` More than ten sessions since the last 20-day closing low	0.8017	true
`lowbars` The 20-day low is at least ten sessions old	0.8636	true
`dry` Volume under 60% of normal	0.0537	false
`calm` Volatility calming over 5 days	0.703	70% · likely

What it means

For PEP on the session of 2026-10-30: True now: More than ten sessions since the last 20-day closing low; The 20-day low is at least ten sessions old. Not true: No 20-day breakout for 30 sessions; Volume under 60% of normal. Forecasts: Volatility calming over 5 days 70%.

Long quiet spells reduce the risk of being picked off; tight quotes win flow until something changes.

Request JSON

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "PEP"
  },
  "questions": {
    "quiet": {
      "type": "yes_no",
      "ask": "barssince(C > highest(C, 20)) > 30"
    },
    "since_low": {
      "type": "yes_no",
      "ask": "barssince(C < lowest(C, 20)) > 10"
    },
    "lowbars": {
      "type": "yes_no",
      "ask": "lowestbars(L, 20) >= 10"
    },
    "dry": {
      "type": "yes_no",
      "ask": "V < 0.6 * avg(V, 20)"
    },
    "calm": {
      "type": "yes_no",
      "instructions": "Will volatility calm down over the next 5 days?"
    }
  }
}

Response JSON (PEP, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "quiet": {
      "yes_no": 0.1482,
      "rule": "barssince(C > highest(C, 20)) > 30",
      "basis": "rule"
    },
    "since_low": {
      "yes_no": 0.8017,
      "rule": "barssince(C < lowest(C, 20)) > 10",
      "basis": "rule"
    },
    "lowbars": {
      "yes_no": 0.8636,
      "rule": "lowestbars(L, 20) >= 10",
      "basis": "rule"
    },
    "dry": {
      "yes_no": 0.0537,
      "rule": "V < 0.6 * avg(V, 20)",
      "basis": "rule"
    },
    "calm": {
      "yes_no": 0.703
    }
  },
  "context": {
    "symbol": "PEP",
    "as_of": "2026-10-30"
  }
}

avg barssince highest lowest lowestbars

Try it in the Playground

Market maker · example 20

Moving-average events across MSFT, WMT, HD, MCD

Flag names whose 50-day and 200-day averages crossed, since crosses tend to bring headline flow.

ora-fin-0.1.14 symbols, one request each4 questions

State4 symbols
Questions4 asked
Answersreal, captured
Actionsnone

State

{"symbol":"MSFT"} then WMT, HD, MCD, one request each. The server fills in the latest completed session.

Questions

`golden`	English → rule	Did a golden cross happen today?
`death`	English → rule	Did a death cross happen today?
`x50`	rule	`crossup(C, sma(C, 50))` Close crossed above the 50-day today
`xdn50`	rule	`crossdown(C, sma(C, 50))` Close crossed below the 50-day today

Answers

Symbol	`golden`rule	`death`rule	`x50`rule	`xdn50`rule
`MSFT`	0.0638	0.0631	0.05	0.05
`WMT`	0.0537	0.0537	0.05	0.05
`HD`	0.0537	0.0537	0.05	0.05
`MCD`	0.0537	0.0537	0.05	0.05

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

What it means

Session of 2026-10-30, 4 symbols: Did a golden cross happen today: true for none of 4. Did a death cross happen today: true for none of 4. Close crossed above the 50-day today: true for none of 4. Close crossed below the 50-day today: true for none of 4.

Cross days bring retail and systematic flow; the desk expects higher volume and adjusts size.

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

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "MSFT"
  },
  "questions": {
    "golden": {
      "type": "yes_no",
      "instructions": "Did a golden cross happen today?"
    },
    "death": {
      "type": "yes_no",
      "instructions": "Did a death cross happen today?"
    },
    "x50": {
      "type": "yes_no",
      "ask": "crossup(C, sma(C, 50))"
    },
    "xdn50": {
      "type": "yes_no",
      "ask": "crossdown(C, sma(C, 50))"
    }
  }
}

Response JSON (MSFT, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "golden": {
      "yes_no": 0.0638,
      "rule": "(sma(C, 50) > sma(C, 200)) and (ref(sma(C, 50), -1) <= ref(sma(C, 200), -1))",
      "basis": "pattern"
    },
    "death": {
      "yes_no": 0.0631,
      "rule": "(sma(C, 50) < sma(C, 200)) and (ref(sma(C, 50), -1) >= ref(sma(C, 200), -1))",
      "basis": "pattern"
    },
    "x50": {
      "yes_no": 0.05,
      "rule": "crossup(C, sma(C, 50))",
      "basis": "rule"
    },
    "xdn50": {
      "yes_no": 0.05,
      "rule": "crossdown(C, sma(C, 50))",
      "basis": "rule"
    }
  },
  "context": {
    "symbol": "MSFT",
    "as_of": "2026-10-30"
  }
}

crossdown crossup ref sma

Try it in the Playground

Information, not investment advice. Rules answer from the latest completed daily session; forecasts are probabilities. Actions ran as dry runs: nothing was sent. More in Sell side: Equity research analyst, Sell-side sales trader, Execution trader / desk, Prop trading firm, Compliance officer.

Create an account Open the Playground Everything here also lives in the console, next to your keys and usage.

Individuals

Buy side

Sell side

Corporates

Builders

Institutions

T ex-dividend: adjust fair value on the ex-date

State

Questions

Answers

Actions

What it means

Split check for quoting: NVDA, AAPL, TSLA

State

Questions

Answers

What it means

GE: strong trend means wider inventory limits on one side

State

Questions

Answers

What it means

IWM: where is price in its recent distribution?

State

Questions

Answers

What it means

AMZN inside bar: prepare for a break either way

State

Questions

Answers

What it means

HYG and JNK: credit ETF stress check

State

Questions

Answers

Actions

What it means

Spot bitcoin ETFs: IBIT, FBTC, GBTC quoting regime

State

Questions

Answers

What it means

JPM: closing strength and the next morning's quote

State

Questions

Answers

What it means

PEP: quiet since the last breakout, stay tight

State

Questions

Answers

What it means

Moving-average events across MSFT, WMT, HD, MCD

State

Questions

Answers

What it means