Model

Fintech app builder: 20 ways to use Ora

Ships market insights inside a product: cards, nudges and push notifications. Each example is a complete, runnable request with the real answers it returned (39 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 (43)

sma 10 offset 8 avg 3 beat_eps_last 2 days_to_earnings 2 rsi 2 days_to_ex_div 2 div_yield_ttm 2 raised_last 2 atr 2 log 2 sqrt 2 std 2 max 2 highest 2 ref 2 beat_revenue_last 1 beat_streak 1 next_report_bmo 1 last_div_amount 1 next_div_amount 1 years_of_growth 1 abs 1 doji 1 dragonfly_doji 1 gravestone_doji 1 harami_bear 1 tweezer_top 1 atr_pct 1 days_since_split 1 days_to_split 1 last_split_ratio 1 reverse_split_last 1 splits_5y 1 three_white_soldiers 1 roc 1 dark_cloud 1 engulfing_bear 1 evening_star 1 harami_bull 1 piercing_line 1 tweezer_bottom 1 div_count_ttm 1

Examples 11–20 of 20 · page 2 of 2

Fintech app builder · example 11

Morning commute alert: did NFLX gap and fill?

Tell commuters whether a followed stock gapped, filled the gap, or held it, in one short notification.

ora-fin-0.1.1NFLX5 questions1 action

StateNFLX
Questions5 asked
Answersreal, captured
Actions1 rule · dry run

State

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

Questions

`gap_up`	rule	`O > C[-1] * 1.01` Opened more than 1% above yesterday's close
`gap_dn`	rule	`O < C[-1] * 0.99` Opened more than 1% below yesterday's close
`faded`	rule	`O > C[-1] and C < C[-1]` Gapped up but closed under yesterday's close
`reclaimed`	rule	`O < L[-1] and C > C[-1]` Opened under yesterday's low, closed up on the day
`filled`	English → rule	Did today's gap up fill?

Answers

Question	Answer	Reading
`gap_up` Opened more than 1% above yesterday's close	0.4929	on the line (false)
`gap_dn` Opened more than 1% below yesterday's close	0.1197	false
`faded` Gapped up but closed under yesterday's close	0.4872	on the line (false)
`reclaimed` Opened under yesterday's low, closed up on the day	0.1484	false
`filled` Did today's gap up fill compiled to `(O > C[-1] * 1) and (L <= C[-1])`	0.6813	true

Actions

Rules on the answers decide what to send.

gap_up >= 0.6 or gap_dn >= 0.6→Webhookpush-gateway

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

gap_noterule false: skipped

What it means

For NFLX on the session of 2026-10-30: True now: Did today's gap up fill. Not true: Opened more than 1% below yesterday's close; Opened under yesterday's low, closed up on the day. On the line: Opened more than 1% above yesterday's close; Gapped up but closed under yesterday's close. No action fired: every rule was false.

Gap rules describe the last completed session; the app words it as yesterday's session, never as live trading.

Request JSON

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "NFLX"
  },
  "questions": {
    "gap_up": {
      "type": "yes_no",
      "ask": "O > C[-1] * 1.01"
    },
    "gap_dn": {
      "type": "yes_no",
      "ask": "O < C[-1] * 0.99"
    },
    "faded": {
      "type": "yes_no",
      "ask": "O > C[-1] and C < C[-1]"
    },
    "reclaimed": {
      "type": "yes_no",
      "ask": "O < L[-1] and C > C[-1]"
    },
    "filled": {
      "type": "yes_no",
      "instructions": "Did today's gap up fill?"
    }
  },
  "actions": [
    {
      "id": "gap_note",
      "when": "gap_up >= 0.6 or gap_dn >= 0.6",
      "do": "webhook",
      "connection": "push-gateway",
      "body": {
        "topic": "follow_{{symbol}}",
        "title": "{{symbol}} gapped",
        "data": {
          "gap_up": "{{gap_up}}",
          "gap_down": "{{gap_dn}}",
          "faded": "{{faded}}",
          "reclaimed": "{{reclaimed}}",
          "as_of": "{{as_of}}"
        }
      }
    }
  ],
  "dry_run": true
}

Response JSON (NFLX, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "gap_up": {
      "yes_no": 0.4929,
      "rule": "O > C[-1] * 1.01",
      "basis": "rule"
    },
    "gap_dn": {
      "yes_no": 0.1197,
      "rule": "O < C[-1] * 0.99",
      "basis": "rule"
    },
    "faded": {
      "yes_no": 0.4872,
      "rule": "O > C[-1] and C < C[-1]",
      "basis": "rule"
    },
    "reclaimed": {
      "yes_no": 0.1484,
      "rule": "O < L[-1] and C > C[-1]",
      "basis": "rule"
    },
    "filled": {
      "yes_no": 0.6813,
      "rule": "(O > C[-1] * 1) and (L <= C[-1])",
      "basis": "pattern"
    }
  },
  "context": {
    "symbol": "NFLX",
    "as_of": "2026-10-30"
  },
  "actions": [
    {
      "id": "gap_note",
      "fired": false,
      "status": "skipped"
    }
  ]
}

offset

Try it in the Playground

Fintech app builder · example 12

Inputs for a simple risk meter on ARKK

Fill a one-to-five risk meter in the app from volatility rules and the drawdown forecast.

ora-fin-0.1.1ARKK5 questions

StateARKK
Questions5 asked
Answersreal, captured
Actionsnone

State

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

Questions

`atr`	rule	`atr_pct(14) > 3` A typical day moves more than 3%
`hv`	rule	`std(log(C / C[-1]), 20) * sqrt(252) > 0.4` Annualized 20-day volatility above 40%
`wide`	rule	`(H - L) > 2 * avg(H - L, 20)` Range more than twice the 20-day average range
`drop10`	forecast	Will it drop at least 10% at some point in the next month? A 10% drawdown within a month
`hv30`	forecast	Will annualized volatility over the next 21 sessions exceed 30%? Next-month volatility above 30%

Answers

Question	Answer	Reading
`atr` A typical day moves more than 3%	0.9369	true
`hv` Annualized 20-day volatility above 40%	0.7844	true
`wide` Range more than twice the 20-day average range	0.0603	false
`drop10` A 10% drawdown within a month	0.61	61% · likely
`hv30` Next-month volatility above 30%	0.426	43% · close to even

What it means

For ARKK on the session of 2026-10-30: True now: A typical day moves more than 3%; Annualized 20-day volatility above 40%. Not true: Range more than twice the 20-day average range. Forecasts: A 10% drawdown within a month 61%; Next-month volatility above 30% 43%.

The meter adds up true volatility rules and scales by the forecast; each input is shown on tap so the score is explainable.

Request JSON

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "ARKK"
  },
  "questions": {
    "atr": {
      "type": "yes_no",
      "ask": "atr_pct(14) > 3"
    },
    "hv": {
      "type": "yes_no",
      "ask": "std(log(C / C[-1]), 20) * sqrt(252) > 0.4"
    },
    "wide": {
      "type": "yes_no",
      "ask": "(H - L) > 2 * avg(H - L, 20)"
    },
    "drop10": {
      "type": "yes_no",
      "instructions": "Will it drop at least 10% at some point in the next month?"
    },
    "hv30": {
      "type": "yes_no",
      "instructions": "Will annualized volatility over the next 21 sessions exceed 30%?"
    }
  }
}

Response JSON (ARKK, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "atr": {
      "yes_no": 0.9369,
      "rule": "atr_pct(14) > 3",
      "basis": "rule"
    },
    "hv": {
      "yes_no": 0.7844,
      "rule": "std(log(C / C[-1]), 20) * sqrt(252) > 0.4",
      "basis": "rule"
    },
    "wide": {
      "yes_no": 0.0603,
      "rule": "(H - L) > 2 * avg(H - L, 20)",
      "basis": "rule"
    },
    "drop10": {
      "yes_no": 0.61
    },
    "hv30": {
      "yes_no": 0.426
    }
  },
  "context": {
    "symbol": "ARKK",
    "as_of": "2026-10-30"
  }
}

atr_pct avg log offset sqrt std

Try it in the Playground

Fintech app builder · example 13

Explain a past split on NVDA's chart

When users see a jump in share count or an old price, show a card explaining the split history.

ora-fin-0.1.1NVDA5 questions

StateNVDA
Questions5 asked
Answersreal, captured
Actionsnone

State

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

Questions

`split3y`	rule	`days_since_split <= 1095` Split in the last three years
`ratio4`	rule	`last_split_ratio >= 4` Last split at least 4-for-1
`multi`	rule	`splits_5y >= 2` Two or more splits in five years
`reverse`	English → rule	Was the last split a reverse split?
`announced`	English → rule	Is a stock split coming up?

Answers

Question	Answer	Reading
`split3y` Split in the last three years	0.9463	true
`ratio4` Last split at least 4-for-1	0.9463	true
`multi` Two or more splits in five years	0.1409	false
`reverse` Was the last split a reverse split compiled to `reverse_split_last > 0.5`	0.1409	false
`announced` Is a stock split coming up compiled to `days_to_split <= 365`	0.0537	false

What it means

For NVDA on the session of 2026-10-30: True now: Split in the last three years; Last split at least 4-for-1. Not true: Two or more splits in five years; Was the last split a reverse split; Is a stock split coming up.

Split facts come from the corporate-action record and are exact; the card only appears when a recent split is true.

Request JSON

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "NVDA"
  },
  "questions": {
    "split3y": {
      "type": "yes_no",
      "ask": "days_since_split <= 1095"
    },
    "ratio4": {
      "type": "yes_no",
      "ask": "last_split_ratio >= 4"
    },
    "multi": {
      "type": "yes_no",
      "ask": "splits_5y >= 2"
    },
    "reverse": {
      "type": "yes_no",
      "instructions": "Was the last split a reverse split?"
    },
    "announced": {
      "type": "yes_no",
      "instructions": "Is a stock split coming up?"
    }
  }
}

Response JSON (NVDA, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "split3y": {
      "yes_no": 0.9463,
      "rule": "days_since_split <= 1095",
      "basis": "rule"
    },
    "ratio4": {
      "yes_no": 0.9463,
      "rule": "last_split_ratio >= 4",
      "basis": "rule"
    },
    "multi": {
      "yes_no": 0.1409,
      "rule": "splits_5y >= 2",
      "basis": "rule"
    },
    "reverse": {
      "yes_no": 0.1409,
      "rule": "reverse_split_last > 0.5",
      "basis": "pattern"
    },
    "announced": {
      "yes_no": 0.0537,
      "rule": "days_to_split <= 365",
      "basis": "pattern"
    }
  },
  "context": {
    "symbol": "NVDA",
    "as_of": "2026-10-30"
  }
}

days_since_split days_to_split last_split_ratio reverse_split_last splits_5y

Try it in the Playground

Fintech app builder · example 14

A crypto tile for bitcoin ETFs: IBIT and FBTC

Show users who hold spot bitcoin ETFs whether trend and volatility are calm or stretched.

ora-fin-0.1.12 symbols, one request each5 questions

State2 symbols
Questions5 asked
Answersreal, captured
Actionsnone

State

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

Questions

`trend`	rule	`C > sma(C, 50)` Above the 50-day average
`stretched`	rule	`C > sma(C, 20) + 2 * atr(14)` Stretched: more than 2 ATR above the 20-day
`atr`	English → rule	Is the 14-day ATR more than 3% of the price?
`drop10`	forecast	Will it drop at least 10% at some point in the next month? A 10% drawdown within a month
`rally10`	forecast	Will it rally at least 10% at some point in the next month? A 10% rally within a month

Answers

Symbol	`trend`rule	`stretched`rule	`atr`rule	`drop10`forecast	`rally10`forecast
`IBIT`	0.1649	0.0618	0.2365	0.566	0.64
`FBTC`	0.1693	0.0624	0.1881	0.573	0.642

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: Above the 50-day average: true for none of 2. Stretched: more than 2 ATR above the 20-day: true for none of 2. Is the 14-day ATR more than 3% of the price: true for none of 2. Highest odds for “A 10% drawdown within a month”: FBTC at 57%.

Both funds track the same asset, so their answers should be close; a big difference would point to a data issue worth checking.

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

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "IBIT"
  },
  "questions": {
    "trend": {
      "type": "yes_no",
      "ask": "C > sma(C, 50)"
    },
    "stretched": {
      "type": "yes_no",
      "ask": "C > sma(C, 20) + 2 * atr(14)"
    },
    "atr": {
      "type": "yes_no",
      "instructions": "Is the 14-day ATR more than 3% of the price?"
    },
    "drop10": {
      "type": "yes_no",
      "instructions": "Will it drop at least 10% at some point in the next month?"
    },
    "rally10": {
      "type": "yes_no",
      "instructions": "Will it rally at least 10% at some point in the next month?"
    }
  }
}

Response JSON (IBIT, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "trend": {
      "yes_no": 0.1649,
      "rule": "C > sma(C, 50)",
      "basis": "rule"
    },
    "stretched": {
      "yes_no": 0.0618,
      "rule": "C > sma(C, 20) + 2 * atr(14)",
      "basis": "rule"
    },
    "atr": {
      "yes_no": 0.2365,
      "rule": "atr(14) / C > 0.03",
      "basis": "pattern"
    },
    "drop10": {
      "yes_no": 0.566
    },
    "rally10": {
      "yes_no": 0.64
    }
  },
  "context": {
    "symbol": "IBIT",
    "as_of": "2026-10-30"
  }
}

atr sma

Try it in the Playground

Fintech app builder · example 15

Re-engagement email when a followed stock (DIS) breaks out

Bring back dormant users who follow a stock by emailing them when it makes a meaningful move up.

ora-fin-0.1.1DIS4 questions1 action

StateDIS
Questions4 asked
Answersreal, captured
Actions1 rule · dry run

State

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

Questions

`breakout`	rule	`C > highest(C, 20) and V > 1.5 * ref(avg(V, 20), -1)` 20-day breakout on 1.5× volume
`cross50`	English → rule	Did the stock cross above its 50-day moving average today?
`soldiers`	rule	`three_white_soldiers()` three white soldiers candle: Three green bars, each closing higher and opening inside the previous body.
`up_week`	forecast	Will the stock be higher in a week? Higher in a week

Answers

Question	Answer	Reading
`breakout` 20-day breakout on 1.5× volume	0.0758	false
`cross50` Did the stock cross above its 50-day moving average today compiled to `(C > sma(C, 50)) and (C[-1] <= ref(sma(C, 50), -1))`	0.1105	false
`soldiers` three white soldiers candle: Three green bars, each closing higher and opening inside the previous body.	0.0793	false
`up_week` Higher in a week	0.562	56% · close to even

Actions

Rules on the answers decide what to send.

breakout >= 0.6 or soldiers >= 0.6→Emaillifecycle

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

winbackrule false: skipped

What it means

For DIS on the session of 2026-10-30: Not true: 20-day breakout on 1.5× volume; Did the stock cross above its 50-day moving average today; three white soldiers candle: Three green bars, each closing higher and opening inside the previous body.. Forecasts: Higher in a week 56%. No action fired: every rule was false.

Lifecycle emails tied to real events beat calendar blasts; the rule gate means a dormant user hears only when something happened.

Request JSON

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "DIS"
  },
  "questions": {
    "breakout": {
      "type": "yes_no",
      "ask": "C > highest(C, 20) and V > 1.5 * ref(avg(V, 20), -1)"
    },
    "cross50": {
      "type": "yes_no",
      "instructions": "Did the stock cross above its 50-day moving average today?"
    },
    "soldiers": {
      "type": "yes_no",
      "ask": "three_white_soldiers()"
    },
    "up_week": {
      "type": "yes_no",
      "instructions": "Will the stock be higher in a week?"
    }
  },
  "actions": [
    {
      "id": "winback",
      "when": "breakout >= 0.6 or soldiers >= 0.6",
      "do": "email",
      "connection": "lifecycle",
      "subject": "{{symbol}} is moving",
      "message": "{{symbol}} ({{as_of}}) broke out on volume ({{breakout|pct}}) or printed three white soldiers ({{soldiers|pct}}). Open the app to see the full picture."
    }
  ],
  "dry_run": true
}

Response JSON (DIS, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "breakout": {
      "yes_no": 0.0758,
      "rule": "C > highest(C, 20) and V > 1.5 * ref(avg(V, 20), -1)",
      "basis": "rule"
    },
    "cross50": {
      "yes_no": 0.1105,
      "rule": "(C > sma(C, 50)) and (C[-1] <= ref(sma(C, 50), -1))",
      "basis": "comparison"
    },
    "soldiers": {
      "yes_no": 0.0793,
      "rule": "three_white_soldiers()",
      "basis": "rule"
    },
    "up_week": {
      "yes_no": 0.562
    }
  },
  "context": {
    "symbol": "DIS",
    "as_of": "2026-10-30"
  },
  "actions": [
    {
      "id": "winback",
      "fired": false,
      "status": "skipped"
    }
  ]
}

avg highest offset ref sma three_white_soldiers

Try it in the Playground

Fintech app builder · example 16

Feed a sector heatmap: XLK, XLF, XLE, XLV, XLU, XLY

Color six sector tiles by trend and momentum from one rule set, posted to the app's heatmap endpoint.

ora-fin-0.1.16 symbols, one request each4 questions1 action

State6 symbols
Questions4 asked
Answersreal, captured
Actions1 rule · dry run

State

{"symbol":"XLK"} then XLF, XLE, XLV, XLU, XLY, one request each. The server fills in the latest completed session.

Questions

`trend`	rule	`C > sma(C, 50)` Above the 50-day average
`roc`	rule	`roc(C, 20) > 5` Up more than 5% in 20 sessions
`rsi`	rule	`rsi(C, 14) > 50` RSI above 50
`up_week`	forecast	Will the stock be higher in a week? Higher in a week

Answers

Symbol	`trend`rule	`roc`rule	`rsi`rule	`up_week`forecast	Fired
`XLK`	0.0776	0.0537	0.0957	0.546	`tile`
`XLF`	0.6692	0.606	0.7929	0.541	`tile`
`XLE`	0.9432	0.897	0.9318	0.592	`tile`
`XLV`	0.9447	0.9157	0.9415	0.571	`tile`
`XLU`	0.8865	0.8282	0.8929	0.515	`tile`
`XLY`	0.8156	0.4761	0.8376	0.479	`tile`

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