Model

Execution trader / desk: 20 ways to use Ora

Works orders: liquidity, volatility, gaps and when to be patient or aggressive. 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 (50)

offset 9 ref 8 atr 7 avg 5 sma 3 std 3 min 3 hlc3 2 sum 2 abs 2 log 2 sqrt 2 bbupper 2 rsi 2 bbmid 2 tr 1 max 1 swinghigh 1 willr 1 days_since_earnings 1 days_to_earnings 1 last_earnings_move 1 next_report_amc 1 bblower 1 atr_pct 1 swinglow 1 ema 1 linreg 1 rec 1 rma 1 zscore 1 days_since_reverse_split 1 days_since_split 1 days_to_split 1 last_split_ratio 1 cci 1 stochd 1 stochk 1 dark_cloud 1 engulfing_bear 1 gravestone_doji 1 hanging_man 1 highest 1 shooting_star 1 median 1 obv 1 percentrank 1 between 1 doji 1 cum 1

Examples 11–20 of 20 · page 2 of 2

Execution trader / desk · example 11

KO buy: rest bids near swing-low support?

For a patient buy, check whether price sits just above the last two swing lows and whether support is rising.

ora-fin-0.1.1KO5 questions

StateKO
Questions5 asked
Answersreal, captured
Actionsnone

State

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

Questions

`near_sup`	rule	`C >= swinglow(5) and C <= 1.03 * swinglow(5)` Within 3% above the last swing low
`rising_lows`	rule	`swinglow(5, 1) > swinglow(5, 2)` Latest swing low (strength 5) above the one before
`above_low2`	rule	`C > swinglow(3, 2)` Close above the second-latest swing low (strength 3)
`stop_close`	rule	`C > swinglow(5) and C - swinglow(5) < 1.5 * atr(14)` A stop under the last swing low is within 1.5 ATR
`new_low`	forecast	Will it make a new 20-day low in the next week? A new 20-day low next week

Answers

Question	Answer	Reading
`near_sup` Within 3% above the last swing low	0.0643	false
`rising_lows` Latest swing low (strength 5) above the one before	0.1446	false
`above_low2` Close above the second-latest swing low (strength 3)	0.9458	true
`stop_close` A stop under the last swing low is within 1.5 ATR	0.0615	false
`new_low` A new 20-day low next week	0.035	4% · unlikely

What it means

For KO on the session of 2026-10-30: True now: Close above the second-latest swing low (strength 3). Not true: Within 3% above the last swing low; Latest swing low (strength 5) above the one before; A stop under the last swing low is within 1.5 ATR. Forecasts: A new 20-day low next week 4%.

Near rising support, resting bids make sense; the new-low forecast warns when support may not hold.

Request JSON

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "KO"
  },
  "questions": {
    "near_sup": {
      "type": "yes_no",
      "ask": "C >= swinglow(5) and C <= 1.03 * swinglow(5)"
    },
    "rising_lows": {
      "type": "yes_no",
      "ask": "swinglow(5, 1) > swinglow(5, 2)"
    },
    "above_low2": {
      "type": "yes_no",
      "ask": "C > swinglow(3, 2)"
    },
    "stop_close": {
      "type": "yes_no",
      "ask": "C > swinglow(5) and C - swinglow(5) < 1.5 * atr(14)"
    },
    "new_low": {
      "type": "yes_no",
      "instructions": "Will it make a new 20-day low in the next week?"
    }
  }
}

Response JSON (KO, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "near_sup": {
      "yes_no": 0.0643,
      "rule": "C >= swinglow(5) and C <= 1.03 * swinglow(5)",
      "basis": "rule"
    },
    "rising_lows": {
      "yes_no": 0.1446,
      "rule": "swinglow(5, 1) > swinglow(5, 2)",
      "basis": "rule"
    },
    "above_low2": {
      "yes_no": 0.9458,
      "rule": "C > swinglow(3, 2)",
      "basis": "rule"
    },
    "stop_close": {
      "yes_no": 0.0615,
      "rule": "C > swinglow(5) and C - swinglow(5) < 1.5 * atr(14)",
      "basis": "rule"
    },
    "new_low": {
      "yes_no": 0.035
    }
  },
  "context": {
    "symbol": "KO",
    "as_of": "2026-10-30"
  }
}

atr swinglow

Try it in the Playground

Execution trader / desk · example 12

ORCL: is the short-term trend smooth enough to lean on?

Compare price with exponential and Wilder-smoothed averages to judge whether to front-load the order.

ora-fin-0.1.1ORCL5 questions

StateORCL
Questions5 asked
Answersreal, captured
Actionsnone

State

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

Questions

`ema`	rule	`C > ema(C, 10)` Close above the 10-day EMA
`rma`	rule	`C > rma(C, 14)` Close above the 14-day Wilder average
`rec`	rule	`C > rec(C, self + 0.1 * (C - self))` Close above a custom exponential average (alpha 0.1)
`slope`	rule	`linreg(C, 10) > ref(linreg(C, 10), -3)` 10-day regression line rising over three sessions
`up_tom`	forecast	Will the stock be up tomorrow? Up tomorrow

Answers

Question	Answer	Reading
`ema` Close above the 10-day EMA	0.2571	false
`rma` Close above the 14-day Wilder average	0.1931	false
`rec` Close above a custom exponential average (alpha 0.1)	0.2388	false
`slope` 10-day regression line rising over three sessions	0.9031	true
`up_tom` Up tomorrow	0.409	41% · close to even

What it means

For ORCL on the session of 2026-10-30: True now: 10-day regression line rising over three sessions. Not true: Close above the 10-day EMA; Close above the 14-day Wilder average; Close above a custom exponential average (alpha 0.1). Forecasts: Up tomorrow 41%.

When every smoothed average is below price, the trend is with the buyer and front-loading is reasonable.

Request JSON

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "ORCL"
  },
  "questions": {
    "ema": {
      "type": "yes_no",
      "ask": "C > ema(C, 10)"
    },
    "rma": {
      "type": "yes_no",
      "ask": "C > rma(C, 14)"
    },
    "rec": {
      "type": "yes_no",
      "ask": "C > rec(C, self + 0.1 * (C - self))"
    },
    "slope": {
      "type": "yes_no",
      "ask": "linreg(C, 10) > ref(linreg(C, 10), -3)"
    },
    "up_tom": {
      "type": "yes_no",
      "instructions": "Will the stock be up tomorrow?"
    }
  }
}

Response JSON (ORCL, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "ema": {
      "yes_no": 0.2571,
      "rule": "C > ema(C, 10)",
      "basis": "rule"
    },
    "rma": {
      "yes_no": 0.1931,
      "rule": "C > rma(C, 14)",
      "basis": "rule"
    },
    "rec": {
      "yes_no": 0.2388,
      "rule": "C > rec(C, self + 0.1 * (C - self))",
      "basis": "rule"
    },
    "slope": {
      "yes_no": 0.9031,
      "rule": "linreg(C, 10) > ref(linreg(C, 10), -3)",
      "basis": "rule"
    },
    "up_tom": {
      "yes_no": 0.409
    }
  },
  "context": {
    "symbol": "ORCL",
    "as_of": "2026-10-30"
  }
}

ema linreg rec ref rma

Try it in the Playground

Execution trader / desk · example 13

End-of-day context for TCA: what kind of day was it?

Email the TCA team a description of each traded name's session so slippage is judged against conditions.

ora-fin-0.1.13 symbols, one request each4 questions1 actionworkflow · Mon–Fri at 16:40 ET

ScheduleMon–Fri at 16:40 ET
State3 symbols
Questions4 asked
Answersreal, captured
Actions1 rule · dry run

State

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

Questions

`wide`	rule	`(H - L) > 2 * avg(H - L, 20)` Range more than twice the 20-day average range
`trend_day`	rule	`(O <= L + 0.2 * (H - L)) and (C >= H - 0.2 * (H - L))` A trend day up: opened near the low, closed near the high
`vol2x`	rule	`V > 2 * ref(avg(V, 20), -1)` Volume more than twice the previous 20-day average
`shock`	rule	`zscore(C / C[-1] - 1, 20) < -2` A two-sigma down day

Answers

Symbol	`wide`rule	`trend_day`rule	`vol2x`rule	`shock`rule	Fired
`AAPL`	0.8653	0.0537	0.2473	0.253	`tca`
`JPM`	0.2888	0.0537	0.0832	0.5937	`tca`
`XOM`	0.054	0.274	0.2958	0.0537	`tca`

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.

wide >= 0→Emailtca-team

AAPL 1 of 1 fired · dry run, nothing sent

tcawould send (dry run)Email → tca-team

{
  "subject": "Session context AAPL 2026-10-30",
  "text": "AAPL: wide range 87%, trend day 5%, volume spike 25%, return shock 25%."
}

JPM 1 of 1 fired · dry run, nothing sent

tcawould send (dry run)Email → tca-team

{
  "subject": "Session context JPM 2026-10-30",
  "text": "JPM: wide range 29%, trend day 5%, volume spike 8%, return shock 59%."
}

XOM 1 of 1 fired · dry run, nothing sent

tcawould send (dry run)Email → tca-team

{
  "subject": "Session context XOM 2026-10-30",
  "text": "XOM: wide range 5%, trend day 27%, volume spike 30%, return shock 5%."
}

What it means

Session of 2026-10-30, 3 symbols: Range more than twice the 20-day average range: true for AAPL of 3. A trend day up: opened near the low, closed near the high: true for none of 3. Volume more than twice the previous 20-day average: true for none of 3. A two-sigma down day: true for none of 3. tca fired for AAPL, JPM, XOM.

Slippage on a wide or shock day is not the same as slippage on a quiet one; TCA gets the context with every fill report.

As a scheduled workflow (Mon–Fri at 16:40 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": "End-of-day context for TCA: what kind of day was it?",
  "symbols": "AAPL JPM XOM",
  "days": [
    1,
    2,
    3,
    4,
    5
  ],
  "at_time": "16:40",
  "model": "ora-fin-0.1.1",
  "questions": {
    "wide": {
      "type": "yes_no",
      "ask": "(H - L) > 2 * avg(H - L, 20)"
    },
    "trend_day": {
      "type": "yes_no",
      "ask": "(O <= L + 0.2 * (H - L)) and (C >= H - 0.2 * (H - L))"
    },
    "vol2x": {
      "type": "yes_no",
      "ask": "V > 2 * ref(avg(V, 20), -1)"
    },
    "shock": {
      "type": "yes_no",
      "ask": "zscore(C / C[-1] - 1, 20) < -2"
    }
  },
  "actions": [
    {
      "id": "tca",
      "when": "wide >= 0",
      "do": "email",
      "connection": "tca-team",
      "subject": "Session context {{symbol}} {{as_of}}",
      "message": "{{symbol}}: wide range {{wide|pct}}, trend day {{trend_day|pct}}, volume spike {{vol2x|pct}}, return shock {{shock|pct}}."
    }
  ]
}

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

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "AAPL"
  },
  "questions": {
    "wide": {
      "type": "yes_no",
      "ask": "(H - L) > 2 * avg(H - L, 20)"
    },
    "trend_day": {
      "type": "yes_no",
      "ask": "(O <= L + 0.2 * (H - L)) and (C >= H - 0.2 * (H - L))"
    },
    "vol2x": {
      "type": "yes_no",
      "ask": "V > 2 * ref(avg(V, 20), -1)"
    },
    "shock": {
      "type": "yes_no",
      "ask": "zscore(C / C[-1] - 1, 20) < -2"
    }
  },
  "actions": [
    {
      "id": "tca",
      "when": "wide >= 0",
      "do": "email",
      "connection": "tca-team",
      "subject": "Session context {{symbol}} {{as_of}}",
      "message": "{{symbol}}: wide range {{wide|pct}}, trend day {{trend_day|pct}}, volume spike {{vol2x|pct}}, return shock {{shock|pct}}."
    }
  ],
  "dry_run": true
}

Response JSON (AAPL, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "wide": {
      "yes_no": 0.8653,
      "rule": "(H - L) > 2 * avg(H - L, 20)",
      "basis": "rule"
    },
    "trend_day": {
      "yes_no": 0.0537,
      "rule": "(O <= L + 0.2 * (H - L)) and (C >= H - 0.2 * (H - L))",
      "basis": "rule"
    },
    "vol2x": {
      "yes_no": 0.2473,
      "rule": "V > 2 * ref(avg(V, 20), -1)",
      "basis": "rule"
    },
    "shock": {
      "yes_no": 0.253,
      "rule": "zscore(C / C[-1] - 1, 20) < -2",
      "basis": "rule"
    }
  },
  "context": {
    "symbol": "AAPL",
    "as_of": "2026-10-30"
  },
  "actions": [
    {
      "id": "tca",
      "fired": true,
      "status": "dry_run",
      "do": "email",
      "connection": "tca-team",
      "preview": {
        "subject": "Session context AAPL 2026-10-30",
        "text": "AAPL: wide range 87%, trend day 5%, volume spike 25%, return shock 25%."
      }
    }
  ]
}

avg offset ref zscore

Try it in the Playground

Execution trader / desk · example 14

Corporate-action check before a large order in SMCI

Make sure no split is pending or recent before sizing an order off historical volumes.

ora-fin-0.1.1SMCI5 questions

StateSMCI
Questions5 asked
Answersreal, captured
Actionsnone

State

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

Questions

`split3y`	rule	`days_since_split <= 1095` Split in the last three years
`announced`	rule	`days_to_split <= 365` A split is announced
`rev1y`	English → rule	Has the stock done a reverse split in the past year?
`ratio`	English → rule	Was the last split at least 2-for-1?
`liquid`	rule	`avg(C * V, 20) > 100000000` Trades more than $100 million a day

Answers

Question	Answer	Reading
`split3y` Split in the last three years	0.9463	true
`announced` A split is announced	0.0537	false
`rev1y` Has the stock done a reverse split in the past year compiled to `days_since_reverse_split <= 365`	0.0537	false
`ratio` Was the last split at least 2-for-1 compiled to `last_split_ratio >= 2`	0.9463	true
`liquid` Trades more than $100 million a day	0.9463	true

What it means

For SMCI on the session of 2026-10-30: True now: Split in the last three years; Was the last split at least 2-for-1; Trades more than $100 million a day. Not true: A split is announced; Has the stock done a reverse split in the past year.

A recent or pending split changes share counts; the desk adjusts volume-based limits when any split fact is true.

Request JSON

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "SMCI"
  },
  "questions": {
    "split3y": {
      "type": "yes_no",
      "ask": "days_since_split <= 1095"
    },
    "announced": {
      "type": "yes_no",
      "ask": "days_to_split <= 365"
    },
    "rev1y": {
      "type": "yes_no",
      "instructions": "Has the stock done a reverse split in the past year?"
    },
    "ratio": {
      "type": "yes_no",
      "instructions": "Was the last split at least 2-for-1?"
    },
    "liquid": {
      "type": "yes_no",
      "ask": "avg(C * V, 20) > 100000000"
    }
  }
}

Response JSON (SMCI, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "split3y": {
      "yes_no": 0.9463,
      "rule": "days_since_split <= 1095",
      "basis": "rule"
    },
    "announced": {
      "yes_no": 0.0537,
      "rule": "days_to_split <= 365",
      "basis": "rule"
    },
    "rev1y": {
      "yes_no": 0.0537,
      "rule": "days_since_reverse_split <= 365",
      "basis": "pattern"
    },
    "ratio": {
      "yes_no": 0.9463,
      "rule": "last_split_ratio >= 2",
      "basis": "pattern"
    },
    "liquid": {
      "yes_no": 0.9463,
      "rule": "avg(C * V, 20) > 100000000",
      "basis": "rule"
    }
  },
  "context": {
    "symbol": "SMCI",
    "as_of": "2026-10-30"
  }
}

avg days_since_reverse_split days_since_split days_to_split last_split_ratio

Try it in the Playground

Execution trader / desk · example 15

Pairs leg timing: XOM vs CVX relative momentum

Decide which leg of an energy pair to work first from momentum and stochastic readings.

ora-fin-0.1.12 symbols, one request each5 questions

State2 symbols
Questions5 asked
Answersreal, captured
Actionsnone

State

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

Questions

`stoch_kd`	English → rule	Is stochastic %K above %D?
`stoch_d`	rule	`stochd(14) > 50` Stochastic %D above 50
`cci`	rule	`cci(20) > 0` CCI(20) above zero
`roc`	English → rule	Is the 10-day rate of change positive?
`up_tom`	forecast	Will the stock be up tomorrow? Up tomorrow

Answers

Symbol	`stoch_kd`rule	`stoch_d`rule	`cci`rule	`roc`rule	`up_tom`forecast
`XOM`	0.7101	0.9161	0.919	0.8948	0.574
`CVX`	0.7176	0.8958	0.8961	0.884	0.587

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 stochastic %K above %D: true for XOM, CVX of 2. Stochastic %D above 50: true for XOM, CVX of 2. CCI(20) above zero: true for XOM, CVX of 2. Is the 10-day rate of change positive: true for XOM, CVX of 2. Highest odds for “Up tomorrow”: CVX at 59%.

Work the leg with weaker short-term momentum first when buying, stronger first when selling.

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

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "XOM"
  },
  "questions": {
    "stoch_kd": {
      "type": "yes_no",
      "instructions": "Is stochastic %K above %D?"
    },
    "stoch_d": {
      "type": "yes_no",
      "ask": "stochd(14) > 50"
    },
    "cci": {
      "type": "yes_no",
      "ask": "cci(20) > 0"
    },
    "roc": {
      "type": "yes_no",
      "instructions": "Is the 10-day rate of change positive?"
    },
    "up_tom": {
      "type": "yes_no",
      "instructions": "Will the stock be up tomorrow?"
    }
  }
}

Response JSON (XOM, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "stoch_kd": {
      "yes_no": 0.7101,
      "rule": "stochk(14, 3, 3) > stochd(14, 3, 3)",
      "basis": "comparison"
    },
    "stoch_d": {
      "yes_no": 0.9161,
      "rule": "stochd(14) > 50",
      "basis": "rule"
    },
    "cci": {
      "yes_no": 0.919,
      "rule": "cci(20) > 0",
      "basis": "rule"
    },
    "roc": {
      "yes_no": 0.8948,
      "rule": "C > C[-10]",
      "basis": "pattern"
    },
    "up_tom": {
      "yes_no": 0.574
    }
  },
  "context": {
    "symbol": "XOM",
    "as_of": "2026-10-30"
  }
}

cci offset stochd stochk

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Execution trader / desk · example 16

COST sell program: bearish candles say finish early

Speed up a sell program if a bearish reversal candle prints at the highs.

ora-fin-0.1.1COST6 questions1 action

StateCOST
Questions6 asked
Answersreal, captured
Actions1 rule · dry run

State

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

Questions

`eng_bear`	rule	`engulfing_bear()` engulfing bear candle: A red body that engulfs yesterday's green body.
`dark`	rule	`dark_cloud()` dark cloud candle: After a green day, opens above its close and closes below the middle of its body (but above its open).
`grave`	rule	`gravestone_doji()` gravestone doji candle: Doji with a long upper wick and almost no lower wick.
`hang`	rule	`hanging_man()` hanging man candle: Hammer shape, closing above the close five bars back.
`star_high`	rule	`shooting_star() and H > highest(H, 20)` Shooting star at a 20-day high
`drop5`	forecast	Will it drop at least 5% at some point in the next month? A 5% drawdown within a month

Answers

Question	Answer	Reading
`eng_bear` engulfing bear candle: A red body that engulfs yesterday's green body.	0.0912	false
`dark` dark cloud candle: After a green day, opens above its close and closes below the middle of its body (but above its open).	0.0812	false
`grave` gravestone doji candle: Doji with a long upper wick and almost no lower wick.	0.0924	false
`hang` hanging man candle: Hammer shape, closing above the close five bars back.	0.0612	false
`star_high` Shooting star at a 20-day high	0.0924	false
`drop5` A 5% drawdown within a month	0.319	32% · unlikely

Actions

Rules on the answers decide what to send.

eng_bear >= 0.6 or dark >= 0.6 or star_high >= 0.6→Webhookems

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

speed_uprule false: skipped

What it means

For COST on the session of 2026-10-30: Not true: engulfing bear candle: A red body that engulfs yesterday's green body.; dark cloud candle: After a green day, opens above its close and closes below the middle of its body (but above its open).; gravestone doji candle: Doji with a long upper wick and almost no lower wick.; hanging man candle: Hammer shape, closing above the close five bars back.; Shooting star at a 20-day high. Forecasts: A 5% drawdown within a month 32%. No action fired: every rule was false.

A bearish candle at the highs is a reason to finish selling sooner; with none true the schedule stays as is.

Request JSON

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "COST"
  },
  "questions": {
    "eng_bear": {
      "type": "yes_no",
      "ask": "engulfing_bear()"
    },
    "dark": {
      "type": "yes_no",
      "ask": "dark_cloud()"
    },
    "grave": {
      "type": "yes_no",
      "ask": "gravestone_doji()"
    },
    "hang": {
      "type": "yes_no",
      "ask": "hanging_man()"
    },
    "star_high": {
      "type": "yes_no",
      "ask": "shooting_star() and H > highest(H, 20)"
    },
    "drop5": {
      "type": "yes_no",
      "instructions": "Will it drop at least 5% at some point in the next month?"
    }
  },
  "actions": [
    {
      "id": "speed_up",
      "when": "eng_bear >= 0.6 or dark >= 0.6 or star_high >= 0.6",
      "do": "webhook",
      "connection": "ems",
      "body": {
        "symbol": "{{symbol}}",
        "side": "sell",
        "instruction": "increase_participation",
        "participation": 0.2,
        "reason": "bearish_reversal_candle",
        "as_of": "{{as_of}}"
      }
    }
  ],
  "dry_run": true
}

Response JSON (COST, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "eng_bear": {
      "yes_no": 0.0912,
      "rule": "engulfing_bear()",
      "basis": "rule"
    },
    "dark": {
      "yes_no": 0.0812,
      "rule": "dark_cloud()",
      "basis": "rule"
    },
    "grave": {
      "yes_no": 0.0924,
      "rule": "gravestone_doji()",
      "basis": "rule"
    },
    "hang": {
      "yes_no": 0.0612,
      "rule": "hanging_man()",
      "basis": "rule"
    },
    "star_high": {
      "yes_no": 0.0924,
      "rule": "shooting_star() and H > highest(H, 20)",
      "basis": "rule"
    },
    "drop5": {
      "yes_no": 0.319
    }
  },
  "context": {
    "symbol": "COST",
    "as_of": "2026-10-30"
  },
  "actions": [
    {
      "id": "speed_up",
      "fired": false,
      "status": "skipped"
    }
  ]
}

dark_cloud engulfing_bear gravestone_doji hanging_man highest shooting_star

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Execution trader / desk · example 17

QQQ: open below yesterday's low means wait

Before a buy at the open, check whether the open broke yesterday's low or reclaimed it.

ora-fin-0.1.1QQQ5 questions

StateQQQ
Questions5 asked
Answersreal, captured
Actionsnone

State

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

Questions

`open_below`	rule	`O < L[-1]` Opened below yesterday's low
`reclaim`	rule	`O < L[-1] and C > C[-1]` Opened under yesterday's low, closed up on the day
`open_above`	English → rule	Did the stock open above yesterday's close?
`close_hi`	rule	`C > H[-1]` Closed above yesterday's high
`gap_up_tom`	forecast	Will it gap up tomorrow? A gap up tomorrow

Answers

Question	Answer	Reading
`open_below` Opened below yesterday's low	0.9357	true
`reclaim` Opened under yesterday's low, closed up on the day	0.0537	false
`open_above` Did the stock open above yesterday's close compiled to `O > C[-1]`	0.0537	false
`close_hi` Closed above yesterday's high	0.0537	false
`gap_up_tom` A gap up tomorrow	0.137	14% · unlikely

What it means

For QQQ on the session of 2026-10-30: True now: Opened below yesterday's low. Not true: Opened under yesterday's low, closed up on the day; Did the stock open above yesterday's close; Closed above yesterday's high. Forecasts: A gap up tomorrow 14%.

An open below the prior low that is not reclaimed tells the desk to stay patient on buys.

Request JSON

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "QQQ"
  },
  "questions": {
    "open_below": {
      "type": "yes_no",
      "ask": "O < L[-1]"
    },
    "reclaim": {
      "type": "yes_no",
      "ask": "O < L[-1] and C > C[-1]"
    },
    "open_above": {
      "type": "yes_no",
      "instructions": "Did the stock open above yesterday's close?"
    },
    "close_hi": {
      "type": "yes_no",
      "ask": "C > H[-1]"
    },
    "gap_up_tom": {
      "type": "yes_no",
      "instructions": "Will it gap up tomorrow?"
    }
  }
}

Response JSON (QQQ, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "open_below": {
      "yes_no": 0.9357,
      "rule": "O < L[-1]",
      "basis": "rule"
    },
    "reclaim": {
      "yes_no": 0.0537,
      "rule": "O < L[-1] and C > C[-1]",
      "basis": "rule"
    },
    "open_above": {
      "yes_no": 0.0537,
      "rule": "O > C[-1]",
      "basis": "comparison"
    },
    "close_hi": {
      "yes_no": 0.0537,
      "rule": "C > H[-1]",
      "basis": "rule"
    },
    "gap_up_tom": {
      "yes_no": 0.137
    }
  },
  "context": {
    "symbol": "QQQ",
    "as_of": "2026-10-30"
  }
}

offset

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Execution trader / desk · example 18

Weekly volume profile: DIA, IWM, EFA, EEM, TLT

Every Monday, record which ETFs saw volume rank highly last week, to plan size limits for the week.

ora-fin-0.1.15 symbols, one request each4 questionsworkflow · Mon at 08:30 ET

ScheduleMon at 08:30 ET
State5 symbols
Questions4 asked
Answersreal, captured
Actionsnone

State

{"symbol":"DIA"} then IWM, EFA, EEM, TLT, one request each. The server fills in the latest completed session.

Questions

`rank`	rule	`percentrank(V, 50) > 90` Volume in the top tenth of 50 sessions
`obv`	English → rule	Is on-balance volume higher than 20 sessions ago?
`median`	rule	`V > median(V, 50)` Volume above its 50-day median
`spike`	forecast	Will volume spike tomorrow? A volume spike tomorrow

Answers

Symbol	`rank`rule	`obv`rule	`median`rule	`spike`forecast
`DIA`	0.4952	0.7226	0.905	0.057
`IWM`	0.154	0.4211	0.5935	0.018
`EFA`	0.6419	0.512	0.9377	0.063
`EEM`	0.6793	0.0685	0.9456	0.103
`TLT`	0.1599	0.9203	0.6726	0.027

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: Volume in the top tenth of 50 sessions: true for EFA, EEM of 5. Is on-balance volume higher than 20 sessions ago: true for DIA, TLT of 5. Volume above its 50-day median: true for DIA, EFA, EEM, TLT of 5. Highest odds for “A volume spike tomorrow”: EEM at 10%.

High-rank volume weeks allow larger child orders; quiet weeks get smaller ones.

As a scheduled workflow (Mon at 08:30 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": "Weekly volume profile: DIA, IWM, EFA, EEM, TLT",
  "symbols": "DIA IWM EFA EEM TLT",
  "days": [
    1
  ],
  "at_time": "08:30",
  "model": "ora-fin-0.1.1",
  "questions": {
    "rank": {
      "type": "yes_no",
      "ask": "percentrank(V, 50) > 90"
    },
    "obv": {
      "type": "yes_no",
      "instructions": "Is on-balance volume higher than 20 sessions ago?"
    },
    "median": {
      "type": "yes_no",
      "ask": "V > median(V, 50)"
    },
    "spike": {
      "type": "yes_no",
      "instructions": "Will volume spike tomorrow?"
    }
  }
}

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

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "DIA"
  },
  "questions": {
    "rank": {
      "type": "yes_no",
      "ask": "percentrank(V, 50) > 90"
    },
    "obv": {
      "type": "yes_no",
      "instructions": "Is on-balance volume higher than 20 sessions ago?"
    },
    "median": {
      "type": "yes_no",
      "ask": "V > median(V, 50)"
    },
    "spike": {
      "type": "yes_no",
      "instructions": "Will volume spike tomorrow?"
    }
  }
}

Response JSON (DIA, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "rank": {
      "yes_no": 0.4952,
      "rule": "percentrank(V, 50) > 90",
      "basis": "rule"
    },
    "obv": {
      "yes_no": 0.7226,
      "rule": "obv() > ref(obv(), -20)",
      "basis": "pattern"
    },
    "median": {
      "yes_no": 0.905,
      "rule": "V > median(V, 50)",
      "basis": "rule"
    },
    "spike": {
      "yes_no": 0.057
    }
  },
  "context": {
    "symbol": "DIA",
    "as_of": "2026-10-30"
  }
}

median obv percentrank ref

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Execution trader / desk · example 19

PG: neutral RSI and mid-band price, a calm day to execute

Confirm a calm, neutral tape before releasing a large staples order in one go.

ora-fin-0.1.1PG5 questions

StatePG
Questions5 asked
Answersreal, captured
Actionsnone

State

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

Questions

`neutral`	rule	`between(rsi(C, 14), 40, 60)` RSI(14) between 40 and 60
`mid`	English → rule	Is the stock above the middle Bollinger Band?
`atr_lo`	English → rule	Is the 14-day ATR less than 2% of the price?
`doji`	rule	`doji()` doji candle: Body at most 10% of the day's range.
`calm`	forecast	Will volatility calm down over the next 5 days? Volatility calming over 5 days

Answers

Question	Answer	Reading
`neutral` RSI(14) between 40 and 60	0.05	false
`mid` Is the stock above the middle Bollinger Band compiled to `C > bbmid(C, 20)`	0.9171	true
`atr_lo` Is the 14-day ATR less than 2% of the price compiled to `atr(14) / C < 0.02`	0.7818	true
`doji` doji candle: Body at most 10% of the day's range.	0.0537	false
`calm` Volatility calming over 5 days	0.701	70% · likely

What it means

For PG on the session of 2026-10-30: True now: Is the stock above the middle Bollinger Band; Is the 14-day ATR less than 2% of the price. Not true: RSI(14) between 40 and 60; doji candle: Body at most 10% of the day's range.. Forecasts: Volatility calming over 5 days 70%.

Neutral momentum and low ATR describe a calm tape where a larger release costs less.

Request JSON

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "PG"
  },
  "questions": {
    "neutral": {
      "type": "yes_no",
      "ask": "between(rsi(C, 14), 40, 60)"
    },
    "mid": {
      "type": "yes_no",
      "instructions": "Is the stock above the middle Bollinger Band?"
    },
    "atr_lo": {
      "type": "yes_no",
      "instructions": "Is the 14-day ATR less than 2% of the price?"
    },
    "doji": {
      "type": "yes_no",
      "ask": "doji()"
    },
    "calm": {
      "type": "yes_no",
      "instructions": "Will volatility calm down over the next 5 days?"
    }
  }
}

Response JSON (PG, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "neutral": {
      "yes_no": 0.05,
      "rule": "between(rsi(C, 14), 40, 60)",
      "basis": "rule"
    },
    "mid": {
      "yes_no": 0.9171,
      "rule": "C > bbmid(C, 20)",
      "basis": "comparison"
    },
    "atr_lo": {
      "yes_no": 0.7818,
      "rule": "atr(14) / C < 0.02",
      "basis": "pattern"
    },
    "doji": {
      "yes_no": 0.0537,
      "rule": "doji()",
      "basis": "rule"
    },
    "calm": {
      "yes_no": 0.701
    }
  },
  "context": {
    "symbol": "PG",
    "as_of": "2026-10-30"
  }
}

atr bbmid between doji rsi

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Execution trader / desk · example 20

HD: buyers in control over the long run?

Use cumulative up versus down closes and weekly lows to decide whether to rush a buy before the tape lifts.

ora-fin-0.1.1HD4 questions

StateHD
Questions4 asked
Answersreal, captured
Actionsnone

State

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

Questions

`cum`	rule	`cum(C > C[-1]) > cum(C < C[-1])` More up closes than down closes over the full history
`mostly_up`	rule	`sum(C > C[-1], 10) >= 6` Up on at least six of the last ten days
`wk_low`	rule	`min(L, 5) > ref(min(L, 5), -5)` This week's low is above last week's
`up_week`	forecast	Will the stock be higher in a week? Higher in a week

Answers

Question	Answer	Reading
`cum` More up closes than down closes over the full history	0.9463	true
`mostly_up` Up on at least six of the last ten days	0.1785	false
`wk_low` This week's low is above last week's	0.8545	true
`up_week` Higher in a week	0.552	55% · close to even

What it means

For HD on the session of 2026-10-30: True now: More up closes than down closes over the full history; This week's low is above last week's. Not true: Up on at least six of the last ten days. Forecasts: Higher in a week 55%.

Persistent buying argues against waiting too long; a mixed record argues for a slower schedule.

Request JSON

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "HD"
  },
  "questions": {
    "cum": {
      "type": "yes_no",
      "ask": "cum(C > C[-1]) > cum(C < C[-1])"
    },
    "mostly_up": {
      "type": "yes_no",
      "ask": "sum(C > C[-1], 10) >= 6"
    },
    "wk_low": {
      "type": "yes_no",
      "ask": "min(L, 5) > ref(min(L, 5), -5)"
    },
    "up_week": {
      "type": "yes_no",
      "instructions": "Will the stock be higher in a week?"
    }
  }
}

Response JSON (HD, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "cum": {
      "yes_no": 0.9463,
      "rule": "cum(C > C[-1]) > cum(C < C[-1])",
      "basis": "rule"
    },
    "mostly_up": {
      "yes_no": 0.1785,
      "rule": "sum(C > C[-1], 10) >= 6",
      "basis": "rule"
    },
    "wk_low": {
      "yes_no": 0.8545,
      "rule": "min(L, 5) > ref(min(L, 5), -5)",
      "basis": "rule"
    },
    "up_week": {
      "yes_no": 0.552
    }
  },
  "context": {
    "symbol": "HD",
    "as_of": "2026-10-30"
  }
}

cum min offset ref sum

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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, Market maker, 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

KO buy: rest bids near swing-low support?

State

Questions

Answers

What it means

ORCL: is the short-term trend smooth enough to lean on?

State

Questions

Answers

What it means

End-of-day context for TCA: what kind of day was it?

State

Questions

Answers

Actions

What it means

Corporate-action check before a large order in SMCI

State

Questions

Answers

What it means

Pairs leg timing: XOM vs CVX relative momentum

State

Questions

Answers

What it means

COST sell program: bearish candles say finish early

State

Questions

Answers

Actions

What it means

QQQ: open below yesterday's low means wait

State

Questions

Answers

What it means

Weekly volume profile: DIA, IWM, EFA, EEM, TLT

State

Questions

Answers

What it means

PG: neutral RSI and mid-band price, a calm day to execute

State

Questions

Answers

What it means

HD: buyers in control over the long run?

State

Questions

Answers

What it means