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 1–10 of 20 · page 1 of 2

Market maker · example 1

TSLA quoting: widen spreads when volatility expands

Tell the quoting engine to widen TSLA spreads when ATR and short-term volatility expand, and to normalise when they calm.

ora-fin-0.1.1TSLA5 questions2 actions

StateTSLA
Questions5 asked
Answersreal, captured
Actions2 rules · dry run

State

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

Questions

`atr_exp`	rule	`atr(14) > 1.2 * ref(atr(14), -10)` ATR up 20% in two weeks
`vol5`	English → rule	Is 5-day volatility higher than 20-day volatility?
`hv40`	rule	`std(log(C / C[-1]), 20) * sqrt(252) > 0.4` Annualized 20-day volatility above 40%
`vol_rise`	forecast	Will volatility rise over the next 5 days? Volatility rising over 5 days
`calm`	forecast	Will volatility calm down over the next 5 days? Volatility calming over 5 days

Answers

Question	Answer	Reading
`atr_exp` ATR up 20% in two weeks	0.3085	false
`vol5` Is 5-day volatility higher than 20-day volatility compiled to `std(log(C / C[-1]), 5) * sqrt(5 / 4) > std(log(C / C[-1]), 20) * sqrt(20 / 19)`	0.7322	true
`hv40` Annualized 20-day volatility above 40%	0.2867	false
`vol_rise` Volatility rising over 5 days	0.38	38% · unlikely
`calm` Volatility calming over 5 days	0.624	62% · likely

Actions

Rules on the answers decide what to send.

atr_exp >= 0.6 or (vol5 >= 0.6 and vol_rise >= 0.55)→Webhookquoting-engine

else→Webhookquoting-engine

What each action would send 1 of 2 fired · dry run, nothing sent

widenrule false: skipped

normalwould send (dry run)Webhook → quoting-engine

{
  "symbol": "TSLA",
  "action": "default_spread",
  "p_calm": 0.624,
  "as_of": "2026-10-30"
}

What it means

For TSLA on the session of 2026-10-30: True now: Is 5-day volatility higher than 20-day volatility. Not true: ATR up 20% in two weeks; Annualized 20-day volatility above 40%. Forecasts: Volatility rising over 5 days 38%; Volatility calming over 5 days 62%. Fired: normal (Webhook → quoting-engine).

Exact volatility rules drive the change; the forecasts tip the decision when the short-term reading is borderline.

Request JSON

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "TSLA"
  },
  "questions": {
    "atr_exp": {
      "type": "yes_no",
      "ask": "atr(14) > 1.2 * ref(atr(14), -10)"
    },
    "vol5": {
      "type": "yes_no",
      "instructions": "Is 5-day volatility higher than 20-day volatility?"
    },
    "hv40": {
      "type": "yes_no",
      "ask": "std(log(C / C[-1]), 20) * sqrt(252) > 0.4"
    },
    "vol_rise": {
      "type": "yes_no",
      "instructions": "Will volatility rise over the next 5 days?"
    },
    "calm": {
      "type": "yes_no",
      "instructions": "Will volatility calm down over the next 5 days?"
    }
  },
  "actions": [
    {
      "id": "widen",
      "when": "atr_exp >= 0.6 or (vol5 >= 0.6 and vol_rise >= 0.55)",
      "do": "webhook",
      "connection": "quoting-engine",
      "body": {
        "symbol": "{{symbol}}",
        "action": "widen_spread",
        "spread_multiplier": 1.5,
        "p_atr_expanding": "{{atr_exp}}",
        "p_vol_rise": "{{vol_rise}}",
        "as_of": "{{as_of}}"
      }
    },
    {
      "id": "normal",
      "when": "else",
      "do": "webhook",
      "connection": "quoting-engine",
      "body": {
        "symbol": "{{symbol}}",
        "action": "default_spread",
        "p_calm": "{{calm}}",
        "as_of": "{{as_of}}"
      }
    }
  ],
  "dry_run": true
}

Response JSON (TSLA, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "atr_exp": {
      "yes_no": 0.3085,
      "rule": "atr(14) > 1.2 * ref(atr(14), -10)",
      "basis": "rule"
    },
    "vol5": {
      "yes_no": 0.7322,
      "rule": "std(log(C / C[-1]), 5) * sqrt(5 / 4) > std(log(C / C[-1]), 20) * sqrt(20 / 19)",
      "basis": "pattern"
    },
    "hv40": {
      "yes_no": 0.2867,
      "rule": "std(log(C / C[-1]), 20) * sqrt(252) > 0.4",
      "basis": "rule"
    },
    "vol_rise": {
      "yes_no": 0.38
    },
    "calm": {
      "yes_no": 0.624
    }
  },
  "context": {
    "symbol": "TSLA",
    "as_of": "2026-10-30"
  },
  "actions": [
    {
      "id": "widen",
      "fired": false,
      "status": "skipped"
    },
    {
      "id": "normal",
      "fired": true,
      "status": "dry_run",
      "do": "webhook",
      "connection": "quoting-engine",
      "preview": {
        "body": {
          "symbol": "TSLA",
          "action": "default_spread",
          "p_calm": 0.624,
          "as_of": "2026-10-30"
        }
      }
    }
  ]
}

atr log offset ref sqrt std

Try it in the Playground

Market maker · example 2

NVDA into earnings: pull size before the print

Cut displayed size and widen ahead of a report when the last reaction was large.

ora-fin-0.1.1NVDA5 questions2 actions

StateNVDA
Questions5 asked
Answersreal, captured
Actions2 rules · dry run

State

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

Questions

`earn`	rule	`days_to_earnings <= 10` Reports earnings within 10 days
`big`	rule	`abs(last_earnings_move) > 5` Last earnings move bigger than 5%
`amc`	English → rule	Does the stock report after the close next time?
`gap_last`	rule	`last_earnings_gap > 0` Gapped up after the last report
`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
`earn` Reports earnings within 10 days	0.0563	false
`big` Last earnings move bigger than 5%	0.9463	true
`amc` Does the stock report after the close next time compiled to `next_report_amc > 0.5`	0.8591	true
`gap_last` Gapped up after the last report	0.9463	true
`big5` A big move either way in 5 days	0.318	32% · unlikely

Actions

Rules on the answers decide what to send.

earn >= 0.6 and big >= 0.6→Webhookquoting-engine

earn >= 0.6→Slackquote-desk

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

event_moderule false: skipped

noterule false: skipped

What it means

For NVDA on the session of 2026-10-30: True now: Last earnings move bigger than 5%; Does the stock report after the close next time; Gapped up after the last report. Not true: Reports earnings within 10 days. Forecasts: A big move either way in 5 days 32%. No action fired: every rule was false.

Event mode switches on only with both a near report and a history of big reactions.

Request JSON

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "NVDA"
  },
  "questions": {
    "earn": {
      "type": "yes_no",
      "ask": "days_to_earnings <= 10"
    },
    "big": {
      "type": "yes_no",
      "ask": "abs(last_earnings_move) > 5"
    },
    "amc": {
      "type": "yes_no",
      "instructions": "Does the stock report after the close next time?"
    },
    "gap_last": {
      "type": "yes_no",
      "ask": "last_earnings_gap > 0"
    },
    "big5": {
      "type": "yes_no",
      "instructions": "Will there be a big move in either direction in the next 5 days?"
    }
  },
  "actions": [
    {
      "id": "event_mode",
      "when": "earn >= 0.6 and big >= 0.6",
      "do": "webhook",
      "connection": "quoting-engine",
      "body": {
        "symbol": "{{symbol}}",
        "action": "event_mode",
        "max_display": 200,
        "spread_multiplier": 2,
        "reason": "earnings_within_10d_big_last_reaction",
        "as_of": "{{as_of}}"
      }
    },
    {
      "id": "note",
      "when": "earn >= 0.6",
      "do": "slack",
      "connection": "quote-desk",
      "message": "{{symbol}} reports within 10 days (after the close {{amc|pct}}); last reaction was modest. Watch the event, no automatic change."
    }
  ],
  "dry_run": true
}

Response JSON (NVDA, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "earn": {
      "yes_no": 0.0563,
      "rule": "days_to_earnings <= 10",
      "basis": "rule"
    },
    "big": {
      "yes_no": 0.9463,
      "rule": "abs(last_earnings_move) > 5",
      "basis": "rule"
    },
    "amc": {
      "yes_no": 0.8591,
      "rule": "next_report_amc > 0.5",
      "basis": "pattern"
    },
    "gap_last": {
      "yes_no": 0.9463,
      "rule": "last_earnings_gap > 0",
      "basis": "rule"
    },
    "big5": {
      "yes_no": 0.318
    }
  },
  "context": {
    "symbol": "NVDA",
    "as_of": "2026-10-30"
  },
  "actions": [
    {
      "id": "event_mode",
      "fired": false,
      "status": "skipped"
    },
    {
      "id": "note",
      "fired": false,
      "status": "skipped"
    }
  ]
}

abs days_to_earnings last_earnings_gap last_earnings_move next_report_amc

Try it in the Playground

Market maker · example 3

SPY inventory: skew quotes against the trend

When carrying inventory, skew bids and offers by the prevailing short-term trend and momentum.

ora-fin-0.1.1SPY5 questions1 action

StateSPY
Questions5 asked
Answersreal, captured
Actions1 rule · dry run

State

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

Questions

`above20`	rule	`C > sma(C, 20)` Close above the 20-day average
`macd`	rule	`macd(C) > macdsignal(C)` MACD above its signal line
`rsi50`	rule	`rsi(C, 14) > 50` RSI above 50
`down3`	English → rule	Has the stock closed lower 3 days in a row?
`up_tom`	forecast	Will the stock be up tomorrow? Up tomorrow

Answers

Question	Answer	Reading
`above20` Close above the 20-day average	0.0816	false
`macd` MACD above its signal line	0.1658	false
`rsi50` RSI above 50	0.0919	false
`down3` Has the stock closed lower 3 days in a row compiled to `(C < C[-1]) and (C[-1] < C[-2]) and (C[-2] < C[-3])`	0.2277	false
`up_tom` Up tomorrow	0.532	53% · close to even

Actions

Rules on the answers decide what to send.

above20 < 0.4 and macd < 0.4→Webhookquoting-engine

What each action would send 1 of 1 fired · dry run, nothing sent

skewwould send (dry run)Webhook → quoting-engine

{
  "symbol": "SPY",
  "action": "skew",
  "direction": "lower",
  "bps": 2,
  "p_up_tomorrow": 0.532,
  "as_of": "2026-10-30"
}

What it means

For SPY on the session of 2026-10-30: Not true: Close above the 20-day average; MACD above its signal line; RSI above 50; Has the stock closed lower 3 days in a row. Forecasts: Up tomorrow 53%. Fired: skew (Webhook → quoting-engine).

A falling short-term tape means long inventory should be offered more keenly; the skew is small and rule-driven.

Request JSON

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "SPY"
  },
  "questions": {
    "above20": {
      "type": "yes_no",
      "ask": "C > sma(C, 20)"
    },
    "macd": {
      "type": "yes_no",
      "ask": "macd(C) > macdsignal(C)"
    },
    "rsi50": {
      "type": "yes_no",
      "ask": "rsi(C, 14) > 50"
    },
    "down3": {
      "type": "yes_no",
      "instructions": "Has the stock closed lower 3 days in a row?"
    },
    "up_tom": {
      "type": "yes_no",
      "instructions": "Will the stock be up tomorrow?"
    }
  },
  "actions": [
    {
      "id": "skew",
      "when": "above20 < 0.4 and macd < 0.4",
      "do": "webhook",
      "connection": "quoting-engine",
      "body": {
        "symbol": "{{symbol}}",
        "action": "skew",
        "direction": "lower",
        "bps": 2,
        "p_up_tomorrow": "{{up_tom}}",
        "as_of": "{{as_of}}"
      }
    }
  ],
  "dry_run": true
}

Response JSON (SPY, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "above20": {
      "yes_no": 0.0816,
      "rule": "C > sma(C, 20)",
      "basis": "rule"
    },
    "macd": {
      "yes_no": 0.1658,
      "rule": "macd(C) > macdsignal(C)",
      "basis": "rule"
    },
    "rsi50": {
      "yes_no": 0.0919,
      "rule": "rsi(C, 14) > 50",
      "basis": "rule"
    },
    "down3": {
      "yes_no": 0.2277,
      "rule": "(C < C[-1]) and (C[-1] < C[-2]) and (C[-2] < C[-3])",
      "basis": "pattern"
    },
    "up_tom": {
      "yes_no": 0.532
    }
  },
  "context": {
    "symbol": "SPY",
    "as_of": "2026-10-30"
  },
  "actions": [
    {
      "id": "skew",
      "fired": true,
      "status": "dry_run",
      "do": "webhook",
      "connection": "quoting-engine",
      "preview": {
        "body": {
          "symbol": "SPY",
          "action": "skew",
          "direction": "lower",
          "bps": 2,
          "p_up_tomorrow": 0.532,
          "as_of": "2026-10-30"
        }
      }
    }
  ]
}

macd macdsignal offset rsi sma

Try it in the Playground

Market maker · example 4

Overnight gap risk: AMD, MU, SMCI, MSTR, TQQQ

Before the close, flag names where overnight gap odds and ATR say to flatten inventory.

ora-fin-0.1.15 symbols, one request each4 questions1 actionworkflow · Mon–Fri at 15:30 ET

ScheduleMon–Fri at 15:30 ET
State5 symbols
Questions4 asked
Answersreal, captured
Actions1 rule · dry run

State

{"symbol":"AMD"} then MU, SMCI, MSTR, TQQQ, one request each. The server fills in the latest completed session.

Questions

`gap_up`	forecast	Will it gap up tomorrow? A gap up tomorrow
`gap_dn`	forecast	Will it gap down tomorrow? A gap down tomorrow
`atr3`	rule	`atr_pct(14) > 3` A typical day moves more than 3%
`gap_atr`	rule	`abs(O - C[-1]) > 0.5 * ref(atr(14), -1)` Gap bigger than half an ATR

Answers

Symbol	`gap_up`forecast	`gap_dn`forecast	`atr3`rule	`gap_atr`rule	Fired
`AMD`	0.363	0.252	0.9441	0.9463	`flatten`
`MU`	0.372	0.246	0.9303	0.9214	`flatten`
`SMCI`	0.322	0.237	0.9463	0.8465	`flatten`
`MSTR`	0.352	0.249	0.9463	0.9349	`flatten`
`TQQQ`	0.383	0.268	0.9463	0.9463	`flatten`

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.

atr3 >= 0.6 and (gap_up >= 0.1 or gap_dn >= 0.1)→Slackquote-desk

AMD 1 of 1 fired · dry run, nothing sent

flattenwould send (dry run)Slack → quote-desk

{
  "text": "AMD (2026-10-30): ATR over 3% with gap odds up 36% / down 25%. Flatten inventory into the close."
}

MU 1 of 1 fired · dry run, nothing sent

flattenwould send (dry run)Slack → quote-desk

{
  "text": "MU (2026-10-30): ATR over 3% with gap odds up 37% / down 25%. Flatten inventory into the close."
}

SMCI 1 of 1 fired · dry run, nothing sent

flattenwould send (dry run)Slack → quote-desk

{
  "text": "SMCI (2026-10-30): ATR over 3% with gap odds up 32% / down 24%. Flatten inventory into the close."
}

MSTR 1 of 1 fired · dry run, nothing sent

flattenwould send (dry run)Slack → quote-desk

{
  "text": "MSTR (2026-10-30): ATR over 3% with gap odds up 35% / down 25%. Flatten inventory into the close."
}

TQQQ 1 of 1 fired · dry run, nothing sent

flattenwould send (dry run)Slack → quote-desk

{
  "text": "TQQQ (2026-10-30): ATR over 3% with gap odds up 38% / down 27%. Flatten inventory into the close."
}

What it means

Session of 2026-10-30, 5 symbols: A typical day moves more than 3%: true for AMD, MU, SMCI, MSTR, TQQQ of 5. Gap bigger than half an ATR: true for AMD, MU, SMCI, MSTR, TQQQ of 5. Highest odds for “A gap up tomorrow”: TQQQ at 38%. flatten fired for AMD, MU, SMCI, MSTR, TQQQ.

A scheduled check before the close; only high-ATR names with meaningful gap odds post.

As a scheduled workflow (Mon–Fri at 15:30 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": "Overnight gap risk: AMD, MU, SMCI, MSTR, TQQQ",
  "symbols": "AMD MU SMCI MSTR TQQQ",
  "days": [
    1,
    2,
    3,
    4,
    5
  ],
  "at_time": "15:30",
  "model": "ora-fin-0.1.1",
  "questions": {
    "gap_up": {
      "type": "yes_no",
      "instructions": "Will it gap up tomorrow?"
    },
    "gap_dn": {
      "type": "yes_no",
      "instructions": "Will it gap down tomorrow?"
    },
    "atr3": {
      "type": "yes_no",
      "ask": "atr_pct(14) > 3"
    },
    "gap_atr": {
      "type": "yes_no",
      "ask": "abs(O - C[-1]) > 0.5 * ref(atr(14), -1)"
    }
  },
  "actions": [
    {
      "id": "flatten",
      "when": "atr3 >= 0.6 and (gap_up >= 0.1 or gap_dn >= 0.1)",
      "do": "slack",
      "connection": "quote-desk",
      "message": "{{symbol}} ({{as_of}}): ATR over 3% with gap odds up {{gap_up|pct}} / down {{gap_dn|pct}}. Flatten inventory into the close."
    }
  ]
}

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

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "AMD"
  },
  "questions": {
    "gap_up": {
      "type": "yes_no",
      "instructions": "Will it gap up tomorrow?"
    },
    "gap_dn": {
      "type": "yes_no",
      "instructions": "Will it gap down tomorrow?"
    },
    "atr3": {
      "type": "yes_no",
      "ask": "atr_pct(14) > 3"
    },
    "gap_atr": {
      "type": "yes_no",
      "ask": "abs(O - C[-1]) > 0.5 * ref(atr(14), -1)"
    }
  },
  "actions": [
    {
      "id": "flatten",
      "when": "atr3 >= 0.6 and (gap_up >= 0.1 or gap_dn >= 0.1)",
      "do": "slack",
      "connection": "quote-desk",
      "message": "{{symbol}} ({{as_of}}): ATR over 3% with gap odds up {{gap_up|pct}} / down {{gap_dn|pct}}. Flatten inventory into the close."
    }
  ],
  "dry_run": true
}

Response JSON (AMD, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "gap_up": {
      "yes_no": 0.363
    },
    "gap_dn": {
      "yes_no": 0.252
    },
    "atr3": {
      "yes_no": 0.9441,
      "rule": "atr_pct(14) > 3",
      "basis": "rule"
    },
    "gap_atr": {
      "yes_no": 0.9463,
      "rule": "abs(O - C[-1]) > 0.5 * ref(atr(14), -1)",
      "basis": "rule"
    }
  },
  "context": {
    "symbol": "AMD",
    "as_of": "2026-10-30"
  },
  "actions": [
    {
      "id": "flatten",
      "fired": true,
      "status": "dry_run",
      "do": "slack",
      "connection": "quote-desk",
      "preview": {
        "text": "AMD (2026-10-30): ATR over 3% with gap odds up 36% / down 25%. Flatten inventory into the close."
      }
    }
  ]
}

abs atr atr_pct offset ref

Try it in the Playground

Market maker · example 5

QQQ and TQQQ: are both legs in the same regime?

Before quoting the leveraged ETF against its underlying index fund, check that trend and volatility agree.

ora-fin-0.1.12 symbols, one request each5 questions

State2 symbols
Questions5 asked
Answersreal, captured
Actionsnone

State

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

Questions

`trend`	English → rule	Is the stock above its 50-day moving average?
`hv`	English → rule	Is 20-day historical volatility above 40%?
`bb_dn`	English → rule	Did the stock close below the lower Bollinger Band?
`zs`	rule	`zscore(C, 20) < -1` Close more than one standard deviation under its 20-day mean
`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

Symbol	`trend`rule	`hv`rule	`bb_dn`rule	`zs`rule	`big5`forecast
`QQQ`	0.0653	0.0537	0.4523	0.8008	0.355
`TQQQ`	0.0621	0.9424	0.4043	0.7866	0.32

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

What it means

Session of 2026-10-30, 2 symbols: Is the stock above its 50-day moving average: true for none of 2. Is 20-day historical volatility above 40%: true for TQQQ of 2. Did the stock close below the lower Bollinger Band: true for none of 2. Close more than one standard deviation under its 20-day mean: true for QQQ, TQQQ of 2. Highest odds for “A big move either way in 5 days”: QQQ at 36%.

Diverging answers between the pair point to a stretched leveraged leg and wider hedge ratios.

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

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "QQQ"
  },
  "questions": {
    "trend": {
      "type": "yes_no",
      "instructions": "Is the stock above its 50-day moving average?"
    },
    "hv": {
      "type": "yes_no",
      "instructions": "Is 20-day historical volatility above 40%?"
    },
    "bb_dn": {
      "type": "yes_no",
      "instructions": "Did the stock close below the lower Bollinger Band?"
    },
    "zs": {
      "type": "yes_no",
      "ask": "zscore(C, 20) < -1"
    },
    "big5": {
      "type": "yes_no",
      "instructions": "Will there be a big move in either direction in the next 5 days?"
    }
  }
}

Response JSON (QQQ, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "trend": {
      "yes_no": 0.0653,
      "rule": "C > sma(C, 50)",
      "basis": "comparison"
    },
    "hv": {
      "yes_no": 0.0537,
      "rule": "std(log(C / C[-1]), 20) * sqrt(20 / 19) * sqrt(252) > 0.4",
      "basis": "pattern"
    },
    "bb_dn": {
      "yes_no": 0.4523,
      "rule": "C < bblower(C, 20)",
      "basis": "comparison"
    },
    "zs": {
      "yes_no": 0.8008,
      "rule": "zscore(C, 20) < -1",
      "basis": "rule"
    },
    "big5": {
      "yes_no": 0.355
    }
  },
  "context": {
    "symbol": "QQQ",
    "as_of": "2026-10-30"
  }
}

bblower log offset sma sqrt std zscore

Try it in the Playground

Market maker · example 6

AAPL volume surge: raise quote size?

When volume ranks high and the day is directional, increase displayed size to capture flow.

ora-fin-0.1.1AAPL5 questions1 action

StateAAPL
Questions5 asked
Answersreal, captured
Actions1 rule · dry run

State

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

Questions

`rank`	rule	`percentrank(V, 50) > 90` Volume in the top tenth of 50 sessions
`spike`	rule	`V > 2 * ref(avg(V, 20), -1)` Volume more than twice the previous 20-day average
`up_vol`	rule	`C > C[-1] and V > 1.5 * ref(avg(V, 20), -1)` Up on heavy volume
`down_vol`	rule	`C < C[-1] and V > 1.5 * ref(avg(V, 20), -1)` Down on heavy volume
`spike_tom`	forecast	Will volume spike tomorrow? A volume spike tomorrow

Answers

Question	Answer	Reading
`rank` Volume in the top tenth of 50 sessions	0.6232	true
`spike` Volume more than twice the previous 20-day average	0.2473	false
`up_vol` Up on heavy volume	0.127	false
`down_vol` Down on heavy volume	0.7841	true
`spike_tom` A volume spike tomorrow	0.044	4% · unlikely

Actions

Rules on the answers decide what to send.

rank >= 0.6 or spike >= 0.6→Webhookquoting-engine

What each action would send 1 of 1 fired · dry run, nothing sent

size_upwould send (dry run)Webhook → quoting-engine

{
  "symbol": "AAPL",
  "action": "display_size",
  "multiplier": 1.5,
  "p_volume_rank_90": 0.6232,
  "p_volume_spike": 0.2473,
  "as_of": "2026-10-30"
}

What it means

For AAPL on the session of 2026-10-30: True now: Volume in the top tenth of 50 sessions; Down on heavy volume. Not true: Volume more than twice the previous 20-day average; Up on heavy volume. Forecasts: A volume spike tomorrow 4%. Fired: size_up (Webhook → quoting-engine).

High participation supports larger quotes; the direction rules say which side flow is likely on.

Request JSON

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "AAPL"
  },
  "questions": {
    "rank": {
      "type": "yes_no",
      "ask": "percentrank(V, 50) > 90"
    },
    "spike": {
      "type": "yes_no",
      "ask": "V > 2 * ref(avg(V, 20), -1)"
    },
    "up_vol": {
      "type": "yes_no",
      "ask": "C > C[-1] and V > 1.5 * ref(avg(V, 20), -1)"
    },
    "down_vol": {
      "type": "yes_no",
      "ask": "C < C[-1] and V > 1.5 * ref(avg(V, 20), -1)"
    },
    "spike_tom": {
      "type": "yes_no",
      "instructions": "Will volume spike tomorrow?"
    }
  },
  "actions": [
    {
      "id": "size_up",
      "when": "rank >= 0.6 or spike >= 0.6",
      "do": "webhook",
      "connection": "quoting-engine",
      "body": {
        "symbol": "{{symbol}}",
        "action": "display_size",
        "multiplier": 1.5,
        "p_volume_rank_90": "{{rank}}",
        "p_volume_spike": "{{spike}}",
        "as_of": "{{as_of}}"
      }
    }
  ],
  "dry_run": true
}

Response JSON (AAPL, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "rank": {
      "yes_no": 0.6232,
      "rule": "percentrank(V, 50) > 90",
      "basis": "rule"
    },
    "spike": {
      "yes_no": 0.2473,
      "rule": "V > 2 * ref(avg(V, 20), -1)",
      "basis": "rule"
    },
    "up_vol": {
      "yes_no": 0.127,
      "rule": "C > C[-1] and V > 1.5 * ref(avg(V, 20), -1)",
      "basis": "rule"
    },
    "down_vol": {
      "yes_no": 0.7841,
      "rule": "C < C[-1] and V > 1.5 * ref(avg(V, 20), -1)",
      "basis": "rule"
    },
    "spike_tom": {
      "yes_no": 0.044
    }
  },
  "context": {
    "symbol": "AAPL",
    "as_of": "2026-10-30"
  },
  "actions": [
    {
      "id": "size_up",
      "fired": true,
      "status": "dry_run",
      "do": "webhook",
      "connection": "quoting-engine",
      "preview": {
        "body": {
          "symbol": "AAPL",
          "action": "display_size",
          "multiplier": 1.5,
          "p_volume_rank_90": 0.6232,
          "p_volume_spike": 0.2473,
          "as_of": "2026-10-30"
        }
      }
    }
  ]
}

avg offset percentrank ref

Try it in the Playground

Market maker · example 7

KO: tight range, tighter quotes

In a compressed, low-volatility tape, tighten spreads to win more flow.

ora-fin-0.1.1KO5 questions1 action

StateKO
Questions5 asked
Answersreal, captured
Actions1 rule · dry run

State

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

Questions

`tight`	rule	`(max(H, 10) - min(L, 10)) / C < 0.05` A tight 10-day base (under 5% of price)
`squeeze`	rule	`(bbupper(C, 20, 2) - bblower(C, 20, 2)) / bbmid(C, 20) < 0.06` Bollinger bands narrower than 6% of price
`atr_lo`	English → rule	Is the 14-day ATR less than 2% of the price?
`spin`	rule	`spinning_top()` spinning top candle: Small body (10–30% of range) with wicks of at least a quarter of the range on both sides.
`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
`tight` A tight 10-day base (under 5% of price)	0.4656	on the line (false)
`squeeze` Bollinger bands narrower than 6% of price	0.0762	false
`atr_lo` Is the 14-day ATR less than 2% of the price compiled to `atr(14) / C < 0.02`	0.9202	true
`spin` spinning top candle: Small body (10–30% of range) with wicks of at least a quarter of the range on both sides.	0.2308	false
`big5` A big move either way in 5 days	0.311	31% · unlikely

Actions

Rules on the answers decide what to send.

tight >= 0.6 and atr_lo >= 0.6 and big5 < 0.45→Webhookquoting-engine

What each action would send 0 of 1 fired · dry run, nothing sent

tightenrule false: skipped

What it means

For KO on the session of 2026-10-30: True now: Is the 14-day ATR less than 2% of the price. Not true: Bollinger bands narrower than 6% of price; spinning top candle: Small body (10–30% of range) with wicks of at least a quarter of the range on both sides.. On the line: A tight 10-day base (under 5% of price). Forecasts: A big move either way in 5 days 31%. No action fired: every rule was false.

Tightening needs both a calm tape and modest big-move odds; compression alone can precede a breakout.

Request JSON

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "KO"
  },
  "questions": {
    "tight": {
      "type": "yes_no",
      "ask": "(max(H, 10) - min(L, 10)) / C < 0.05"
    },
    "squeeze": {
      "type": "yes_no",
      "ask": "(bbupper(C, 20, 2) - bblower(C, 20, 2)) / bbmid(C, 20) < 0.06"
    },
    "atr_lo": {
      "type": "yes_no",
      "instructions": "Is the 14-day ATR less than 2% of the price?"
    },
    "spin": {
      "type": "yes_no",
      "ask": "spinning_top()"
    },
    "big5": {
      "type": "yes_no",
      "instructions": "Will there be a big move in either direction in the next 5 days?"
    }
  },
  "actions": [
    {
      "id": "tighten",
      "when": "tight >= 0.6 and atr_lo >= 0.6 and big5 < 0.45",
      "do": "webhook",
      "connection": "quoting-engine",
      "body": {
        "symbol": "{{symbol}}",
        "action": "tighten_spread",
        "spread_multiplier": 0.8,
        "p_big_move5": "{{big5}}",
        "as_of": "{{as_of}}"
      }
    }
  ],
  "dry_run": true
}

Response JSON (KO, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "tight": {
      "yes_no": 0.4656,
      "rule": "(max(H, 10) - min(L, 10)) / C < 0.05",
      "basis": "rule"
    },
    "squeeze": {
      "yes_no": 0.0762,
      "rule": "(bbupper(C, 20, 2) - bblower(C, 20, 2)) / bbmid(C, 20) < 0.06",
      "basis": "rule"
    },
    "atr_lo": {
      "yes_no": 0.9202,
      "rule": "atr(14) / C < 0.02",
      "basis": "pattern"
    },
    "spin": {
      "yes_no": 0.2308,
      "rule": "spinning_top()",
      "basis": "rule"
    },
    "big5": {
      "yes_no": 0.311
    }
  },
  "context": {
    "symbol": "KO",
    "as_of": "2026-10-30"
  },
  "actions": [
    {
      "id": "tighten",
      "fired": false,
      "status": "skipped"
    }
  ]
}

atr bblower bbmid bbupper max min spinning_top

Try it in the Playground

Market maker · example 8

XOM: return shock check after a commodity move

Detect a return shock in a single name so quotes pull back until the tape settles.

ora-fin-0.1.1XOM5 questions1 action

StateXOM
Questions5 asked
Answersreal, captured
Actions1 rule · dry run

State

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

Questions

`shock`	rule	`zscore(C / C[-1] - 1, 20) < -2` A two-sigma down day
`big_atr`	rule	`abs(C - C[-1]) > 1.5 * atr(14)` Today's move was bigger than 1.5 ATR
`down3`	English → rule	Did the stock fall more than 3% today?
`outside`	English → rule	Is today an outside day?
`vol_up`	forecast	Will volatility rise over the next 5 days? Volatility rising over 5 days

Answers

Question	Answer	Reading
`shock` A two-sigma down day	0.0537	false
`big_atr` Today's move was bigger than 1.5 ATR	0.1131	false
`down3` Did the stock fall more than 3% today compiled to `C / C[-1] - 1 < -0.03`	0.0537	false
`outside` Is today an outside day compiled to `outside_bar()`	0.0756	false
`vol_up` Volatility rising over 5 days	0.482	48% · close to even

Actions

Rules on the answers decide what to send.

shock >= 0.6 or big_atr >= 0.6→Slackquote-desk

What each action would send 0 of 1 fired · dry run, nothing sent

pullrule false: skipped

What it means

For XOM on the session of 2026-10-30: Not true: A two-sigma down day; Today's move was bigger than 1.5 ATR; Did the stock fall more than 3% today; Is today an outside day. Forecasts: Volatility rising over 5 days 48%. No action fired: every rule was false.

A shock day changes the next open; the desk reduces exposure until the market finds its level.

Request JSON

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "XOM"
  },
  "questions": {
    "shock": {
      "type": "yes_no",
      "ask": "zscore(C / C[-1] - 1, 20) < -2"
    },
    "big_atr": {
      "type": "yes_no",
      "ask": "abs(C - C[-1]) > 1.5 * atr(14)"
    },
    "down3": {
      "type": "yes_no",
      "instructions": "Did the stock fall more than 3% today?"
    },
    "outside": {
      "type": "yes_no",
      "instructions": "Is today an outside day?"
    },
    "vol_up": {
      "type": "yes_no",
      "instructions": "Will volatility rise over the next 5 days?"
    }
  },
  "actions": [
    {
      "id": "pull",
      "when": "shock >= 0.6 or big_atr >= 0.6",
      "do": "slack",
      "connection": "quote-desk",
      "message": "{{symbol}} ({{as_of}}): shock day (z-score {{shock|pct}}, 1.5 ATR move {{big_atr|pct}}). Pull quotes for the first 15 minutes tomorrow."
    }
  ],
  "dry_run": true
}

Response JSON (XOM, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "shock": {
      "yes_no": 0.0537,
      "rule": "zscore(C / C[-1] - 1, 20) < -2",
      "basis": "rule"
    },
    "big_atr": {
      "yes_no": 0.1131,
      "rule": "abs(C - C[-1]) > 1.5 * atr(14)",
      "basis": "rule"
    },
    "down3": {
      "yes_no": 0.0537,
      "rule": "C / C[-1] - 1 < -0.03",
      "basis": "pattern"
    },
    "outside": {
      "yes_no": 0.0756,
      "rule": "outside_bar()",
      "basis": "pattern"
    },
    "vol_up": {
      "yes_no": 0.482
    }
  },
  "context": {
    "symbol": "XOM",
    "as_of": "2026-10-30"
  },
  "actions": [
    {
      "id": "pull",
      "fired": false,
      "status": "skipped"
    }
  ]
}

abs atr offset outside_bar zscore

Try it in the Playground

Market maker · example 9

Sector ETF spreads by volatility tier: XLK, XLE, XLF, XLU

A daily workflow assigning each sector ETF a spread tier from ATR and historical volatility.

ora-fin-0.1.14 symbols, one request each4 questions1 actionworkflow · Mon–Fri at 09:00 ET

ScheduleMon–Fri at 09:00 ET
State4 symbols
Questions4 asked
Answersreal, captured
Actions1 rule · dry run

State

{"symbol":"XLK"} then XLE, XLF, XLU, 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%
`hv_lo`	English → rule	Is 20-day historical volatility below 20%?
`hv40`	rule	`std(log(C / C[-1]), 20) * sqrt(252) > 0.4` Annualized 20-day volatility above 40%
`vol_up`	forecast	Will volatility be higher over the next month? Higher volatility next month

Answers

Symbol	`atr3`rule	`hv_lo`rule	`hv40`rule	`vol_up`forecast	Fired
`XLK`	0.0784	0.078	0.071	0.407	`tier`
`XLE`	0.0537	0.2403	0.0537	0.617	`tier`
`XLF`	0.0537	0.9463	0.0537	0.577	`tier`
`XLU`	0.0537	0.9117	0.0537	0.456	`tier`

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.

atr3 >= 0→Webhookquoting-engine

XLK 1 of 1 fired · dry run, nothing sent

tierwould send (dry run)Webhook → quoting-engine

{
  "symbol": "XLK",
  "action": "set_tier",
  "p_atr_over_3pct": 0.0784,
  "p_hv_below_20": 0.078,
  "p_hv_above_40": 0.071,
  "p_vol_higher_month": 0.407,
  "as_of": "2026-10-30"
}

XLE 1 of 1 fired · dry run, nothing sent

tierwould send (dry run)Webhook → quoting-engine

{
  "symbol": "XLE",
  "action": "set_tier",
  "p_atr_over_3pct": 0.0537,
  "p_hv_below_20": 0.2403,
  "p_hv_above_40": 0.0537,
  "p_vol_higher_month": 0.617,
  "as_of": "2026-10-30"
}

XLF 1 of 1 fired · dry run, nothing sent

tierwould send (dry run)Webhook → quoting-engine

{
  "symbol": "XLF",
  "action": "set_tier",
  "p_atr_over_3pct": 0.0537,
  "p_hv_below_20": 0.9463,
  "p_hv_above_40": 0.0537,
  "p_vol_higher_month": 0.577,
  "as_of": "2026-10-30"
}

XLU 1 of 1 fired · dry run, nothing sent

tierwould send (dry run)Webhook → quoting-engine

{
  "symbol": "XLU",
  "action": "set_tier",
  "p_atr_over_3pct": 0.0537,
  "p_hv_below_20": 0.9117,
  "p_hv_above_40": 0.0537,
  "p_vol_higher_month": 0.456,
  "as_of": "2026-10-30"
}

What it means

Session of 2026-10-30, 4 symbols: A typical day moves more than 3%: true for none of 4. Is 20-day historical volatility below 20%: true for XLF, XLU of 4. Annualized 20-day volatility above 40%: true for none of 4. Highest odds for “Higher volatility next month”: XLE at 62%. tier fired for XLK, XLE, XLF, XLU.

The engine maps the probabilities to tiers; the workflow keeps the tiers current every morning.

As a scheduled workflow (Mon–Fri at 09:00 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": "Sector ETF spreads by volatility tier: XLK, XLE, XLF, XLU",
  "symbols": "XLK XLE XLF XLU",
  "days": [
    1,
    2,
    3,
    4,
    5
  ],
  "at_time": "09:00",
  "model": "ora-fin-0.1.1",
  "questions": {
    "atr3": {
      "type": "yes_no",
      "ask": "atr_pct(14) > 3"
    },
    "hv_lo": {
      "type": "yes_no",
      "instructions": "Is 20-day historical volatility below 20%?"
    },
    "hv40": {
      "type": "yes_no",
      "ask": "std(log(C / C[-1]), 20) * sqrt(252) > 0.4"
    },
    "vol_up": {
      "type": "yes_no",
      "instructions": "Will volatility be higher over the next month?"
    }
  },
  "actions": [
    {
      "id": "tier",
      "when": "atr3 >= 0",
      "do": "webhook",
      "connection": "quoting-engine",
      "body": {
        "symbol": "{{symbol}}",
        "action": "set_tier",
        "p_atr_over_3pct": "{{atr3}}",
        "p_hv_below_20": "{{hv_lo}}",
        "p_hv_above_40": "{{hv40}}",
        "p_vol_higher_month": "{{vol_up}}",
        "as_of": "{{as_of}}"
      }
    }
  ]
}

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

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "XLK"
  },
  "questions": {
    "atr3": {
      "type": "yes_no",
      "ask": "atr_pct(14) > 3"
    },
    "hv_lo": {
      "type": "yes_no",
      "instructions": "Is 20-day historical volatility below 20%?"
    },
    "hv40": {
      "type": "yes_no",
      "ask": "std(log(C / C[-1]), 20) * sqrt(252) > 0.4"
    },
    "vol_up": {
      "type": "yes_no",
      "instructions": "Will volatility be higher over the next month?"
    }
  },
  "actions": [
    {
      "id": "tier",
      "when": "atr3 >= 0",
      "do": "webhook",
      "connection": "quoting-engine",
      "body": {
        "symbol": "{{symbol}}",
        "action": "set_tier",
        "p_atr_over_3pct": "{{atr3}}",
        "p_hv_below_20": "{{hv_lo}}",
        "p_hv_above_40": "{{hv40}}",
        "p_vol_higher_month": "{{vol_up}}",
        "as_of": "{{as_of}}"
      }
    }
  ],
  "dry_run": true
}

Response JSON (XLK, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "atr3": {
      "yes_no": 0.0784,
      "rule": "atr_pct(14) > 3",
      "basis": "rule"
    },
    "hv_lo": {
      "yes_no": 0.078,
      "rule": "std(log(C / C[-1]), 20) * sqrt(20 / 19) * sqrt(252) < 0.2",
      "basis": "pattern"
    },
    "hv40": {
      "yes_no": 0.071,
      "rule": "std(log(C / C[-1]), 20) * sqrt(252) > 0.4",
      "basis": "rule"
    },
    "vol_up": {
      "yes_no": 0.407
    }
  },
  "context": {
    "symbol": "XLK",
    "as_of": "2026-10-30"
  },
  "actions": [
    {
      "id": "tier",
      "fired": true,
      "status": "dry_run",
      "do": "webhook",
      "connection": "quoting-engine",
      "preview": {
        "body": {
          "symbol": "XLK",
          "action": "set_tier",
          "p_atr_over_3pct": 0.0784,
          "p_hv_below_20": 0.078,
          "p_hv_above_40": 0.071,
          "p_vol_higher_month": 0.407,
          "as_of": "2026-10-30"
        }
      }
    }
  ]
}

atr_pct log offset sqrt std

Try it in the Playground

Market maker · example 10

NFLX: bearish reversal at highs, lean offers

When a bearish pattern prints at a new high, lean quotes to the offer side.

ora-fin-0.1.1NFLX6 questions

StateNFLX
Questions6 asked
Answersreal, captured
Actionsnone

State

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

Questions

`star`	rule	`shooting_star() and H > highest(H, 20)` Shooting star at a 20-day high
`evening`	rule	`evening_star()` evening star candle: A green bar, a small bar that stays above its close, then a red bar closing below the middle of the first.
`tweezer`	rule	`tweezer_top()` tweezer top candle: Green then red, with highs within 0.1%.
`harami_bear`	rule	`harami_bear()` harami bear candle: A small red body inside yesterday's green body.
`down_tom`	forecast	Will the stock be lower in a week? Lower in a week
`star_bar`	rule	`shooting_star()` shooting star candle: Upper wick at least twice the body, lower wick at most 10% of the range, after a five-bar rise.

Answers

Question	Answer	Reading
`star` Shooting star at a 20-day high	0.0689	false
`evening` evening star candle: A green bar, a small bar that stays above its close, then a red bar closing below the middle of the first.	0.2749	false
`tweezer` tweezer top candle: Green then red, with highs within 0.1%.	0.3007	false
`harami_bear` harami bear candle: A small red body inside yesterday's green body.	0.2285	false
`down_tom` Lower in a week	0.492	49% · close to even
`star_bar` shooting star candle: Upper wick at least twice the body, lower wick at most 10% of the range, after a five-bar rise.	0.1284	false

What it means

For NFLX on the session of 2026-10-30: Not true: Shooting star at a 20-day high; evening star candle: A green bar, a small bar that stays above its close, then a red bar closing below the middle of the first.; tweezer top candle: Green then red, with highs within 0.1%.; harami bear candle: A small red body inside yesterday's green body.; shooting star candle: Upper wick at least twice the body, lower wick at most 10% of the range, after a five-bar rise.. Forecasts: Lower in a week 49%.

A pattern at the highs is a mild signal; the skew stays small and is lifted the next day.

Request JSON

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "NFLX"
  },
  "questions": {
    "star": {
      "type": "yes_no",
      "ask": "shooting_star() and H > highest(H, 20)"
    },
    "evening": {
      "type": "yes_no",
      "ask": "evening_star()"
    },
    "tweezer": {
      "type": "yes_no",
      "ask": "tweezer_top()"
    },
    "harami_bear": {
      "type": "yes_no",
      "ask": "harami_bear()"
    },
    "down_tom": {
      "type": "yes_no",
      "instructions": "Will the stock be lower in a week?"
    },
    "star_bar": {
      "type": "yes_no",
      "ask": "shooting_star()"
    }
  }
}

Response JSON (NFLX, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "star": {
      "yes_no": 0.0689,
      "rule": "shooting_star() and H > highest(H, 20)",
      "basis": "rule"
    },
    "evening": {
      "yes_no": 0.2749,
      "rule": "evening_star()",
      "basis": "rule"
    },
    "tweezer": {
      "yes_no": 0.3007,
      "rule": "tweezer_top()",
      "basis": "rule"
    },
    "harami_bear": {
      "yes_no": 0.2285,
      "rule": "harami_bear()",
      "basis": "rule"
    },
    "down_tom": {
      "yes_no": 0.492
    },
    "star_bar": {
      "yes_no": 0.1284,
      "rule": "shooting_star()",
      "basis": "rule"
    }
  },
  "context": {
    "symbol": "NFLX",
    "as_of": "2026-10-30"
  }
}

evening_star harami_bear highest shooting_star tweezer_top

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.

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