Model

Algo / bot developer: 20 ways to use Ora

Bots that read a signal, check risk and post an order, a message or nothing. Each example is a complete, runnable request with the real answers it returned (38 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)

sma 8 offset 5 atr 4 rsi 3 highest 3 lowest 3 roc 3 avg 2 crossup 2 stochk 2 abs 2 max 2 ref 2 adx 2 min 2 std 2 zscore 2 crossdown 1 willr 1 swinglow 1 engulfing_bull 1 morning_star 1 bblower 1 bbmid 1 bbupper 1 linreg 1 ema 1 macd 1 macdsignal 1 stochd 1 days_to_ex_div 1 div_yield_ttm 1 days_to_earnings 1 last_earnings_gap 1 last_earnings_move 1 cci 1 diminus 1 diplus 1 log 1 sqrt 1 obv 1 doji 1 percentrank 1 cum 1 mean 1 sign 1 sum 1 outside_bar 1 tweezer_bottom 1 tweezer_top 1

Examples 11–20 of 20 · page 2 of 2

Algo / bot developer · example 11

Firm-wide kill switch for all bots when SPY has a shock day

Pause every bot when the market has a return shock or a very wide day, and resume when it is calm.

ora-fin-0.1.1SPY4 questions2 actionsworkflow · Mon–Fri at 16:10 ET

ScheduleMon–Fri at 16:10 ET
StateSPY
Questions4 asked
Answersreal, captured
Actions2 rules · dry run

State

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

Questions

`shock`	rule	`zscore(C / C[-1] - 1, 20) < -2` A two-sigma down day
`fell3`	English → rule	Did the stock fall more than 3% today?
`wide`	English → rule	Was today's range more than 1.5 ATR?
`vol_rise`	forecast	Will volatility rise over the next 5 days? Volatility rising over 5 days

Answers

Question	Answer	Reading
`shock` A two-sigma down day	0.6995	true
`fell3` Did the stock fall more than 3% today compiled to `C / C[-1] - 1 < -0.03`	0.0709	false
`wide` Was today's range more than 1.5 ATR compiled to `(H - L) > 1.5 * atr(14)`	0.3689	false
`vol_rise` Volatility rising over 5 days	0.558	56% · close to even

Actions

Rules on the answers decide what to send.

shock >= 0.6 or fell3 >= 0.6→Webhookbot-controller

else→Webhookbot-controller

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

pausewould send (dry run)Webhook → bot-controller

{
  "command": "pause_all",
  "reason": "market_shock",
  "p_shock": 0.6995,
  "p_fell3": 0.0709,
  "as_of": "2026-10-30"
}

runrule false: skipped

What it means

For SPY on the session of 2026-10-30: True now: A two-sigma down day. Not true: Did the stock fall more than 3% today; Was today's range more than 1.5 ATR. Forecasts: Volatility rising over 5 days 56%. Fired: pause (Webhook → bot-controller).

The controller hears pause or run every session; bots never trade on a day the market-wide shock rule was true.

As a scheduled workflow (Mon–Fri at 16:10 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": "Firm-wide kill switch for all bots when SPY has a shock day",
  "symbols": "SPY",
  "days": [
    1,
    2,
    3,
    4,
    5
  ],
  "at_time": "16:10",
  "model": "ora-fin-0.1.1",
  "questions": {
    "shock": {
      "type": "yes_no",
      "ask": "zscore(C / C[-1] - 1, 20) < -2"
    },
    "fell3": {
      "type": "yes_no",
      "instructions": "Did the stock fall more than 3% today?"
    },
    "wide": {
      "type": "yes_no",
      "instructions": "Was today's range more than 1.5 ATR?"
    },
    "vol_rise": {
      "type": "yes_no",
      "instructions": "Will volatility rise over the next 5 days?"
    }
  },
  "actions": [
    {
      "id": "pause",
      "when": "shock >= 0.6 or fell3 >= 0.6",
      "do": "webhook",
      "connection": "bot-controller",
      "body": {
        "command": "pause_all",
        "reason": "market_shock",
        "p_shock": "{{shock}}",
        "p_fell3": "{{fell3}}",
        "as_of": "{{as_of}}"
      }
    },
    {
      "id": "run",
      "when": "else",
      "do": "webhook",
      "connection": "bot-controller",
      "body": {
        "command": "run",
        "as_of": "{{as_of}}"
      }
    }
  ]
}

Request JSON

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "SPY"
  },
  "questions": {
    "shock": {
      "type": "yes_no",
      "ask": "zscore(C / C[-1] - 1, 20) < -2"
    },
    "fell3": {
      "type": "yes_no",
      "instructions": "Did the stock fall more than 3% today?"
    },
    "wide": {
      "type": "yes_no",
      "instructions": "Was today's range more than 1.5 ATR?"
    },
    "vol_rise": {
      "type": "yes_no",
      "instructions": "Will volatility rise over the next 5 days?"
    }
  },
  "actions": [
    {
      "id": "pause",
      "when": "shock >= 0.6 or fell3 >= 0.6",
      "do": "webhook",
      "connection": "bot-controller",
      "body": {
        "command": "pause_all",
        "reason": "market_shock",
        "p_shock": "{{shock}}",
        "p_fell3": "{{fell3}}",
        "as_of": "{{as_of}}"
      }
    },
    {
      "id": "run",
      "when": "else",
      "do": "webhook",
      "connection": "bot-controller",
      "body": {
        "command": "run",
        "as_of": "{{as_of}}"
      }
    }
  ],
  "dry_run": true
}

Response JSON (SPY, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "shock": {
      "yes_no": 0.6995,
      "rule": "zscore(C / C[-1] - 1, 20) < -2",
      "basis": "rule"
    },
    "fell3": {
      "yes_no": 0.0709,
      "rule": "C / C[-1] - 1 < -0.03",
      "basis": "pattern"
    },
    "wide": {
      "yes_no": 0.3689,
      "rule": "(H - L) > 1.5 * atr(14)",
      "basis": "pattern"
    },
    "vol_rise": {
      "yes_no": 0.558
    }
  },
  "context": {
    "symbol": "SPY",
    "as_of": "2026-10-30"
  },
  "actions": [
    {
      "id": "pause",
      "fired": true,
      "status": "dry_run",
      "do": "webhook",
      "connection": "bot-controller",
      "preview": {
        "body": {
          "command": "pause_all",
          "reason": "market_shock",
          "p_shock": 0.6995,
          "p_fell3": 0.0709,
          "as_of": "2026-10-30"
        }
      }
    },
    {
      "id": "run",
      "fired": false,
      "status": "skipped"
    }
  ]
}

atr offset zscore

Try it in the Playground

Algo / bot developer · example 12

Dividend-capture screen for a bot: PG, KO and PEP

Find payers going ex-dividend soon with a calm price, the setup a dividend-capture bot needs.

ora-fin-0.1.13 symbols, one request each4 questions

State3 symbols
Questions4 asked
Answersreal, captured
Actionsnone

State

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

Questions

`ex`	rule	`days_to_ex_div <= 30` Goes ex-dividend within 30 days
`calm`	English → rule	Is the 14-day ATR less than 2% of the price?
`yield`	English → rule	Is the dividend yield above 3%?
`drop5`	forecast	Will it drop at least 5% at some point in the next month? A 5% drawdown within a month

Answers

Symbol	`ex`rule	`calm`rule	`yield`rule	`drop5`forecast
`PG`	0.0537	0.7818	0.2091	0.357
`KO`	0.2049	0.9202	0.0537	0.361
`PEP`	0.0537	0.2367	0.9463	0.418

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

What it means

Session of 2026-10-30, 3 symbols: Goes ex-dividend within 30 days: true for none of 3. Is the 14-day ATR less than 2% of the price: true for PG, KO of 3. Is the dividend yield above 3%: true for PEP of 3. Highest odds for “A 5% drawdown within a month”: PEP at 42%.

Capture only works when the price drop after the ex-date is small relative to the dividend; calm and low drawdown odds are the filters.

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

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "PG"
  },
  "questions": {
    "ex": {
      "type": "yes_no",
      "ask": "days_to_ex_div <= 30"
    },
    "calm": {
      "type": "yes_no",
      "instructions": "Is the 14-day ATR less than 2% of the price?"
    },
    "yield": {
      "type": "yes_no",
      "instructions": "Is the dividend yield above 3%?"
    },
    "drop5": {
      "type": "yes_no",
      "instructions": "Will it drop at least 5% at some point in the next month?"
    }
  }
}

Response JSON (PG, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "ex": {
      "yes_no": 0.0537,
      "rule": "days_to_ex_div <= 30",
      "basis": "rule"
    },
    "calm": {
      "yes_no": 0.7818,
      "rule": "atr(14) / C < 0.02",
      "basis": "pattern"
    },
    "yield": {
      "yes_no": 0.2091,
      "rule": "div_yield_ttm > 3",
      "basis": "pattern"
    },
    "drop5": {
      "yes_no": 0.357
    }
  },
  "context": {
    "symbol": "PG",
    "as_of": "2026-10-30"
  }
}

atr days_to_ex_div div_yield_ttm

Try it in the Playground

Algo / bot developer · example 13

Gate for an earnings options bot on AAPL

Only arm an earnings-volatility bot when the report is close and the stock historically moves a lot on reports.

ora-fin-0.1.1AAPL4 questions1 action

StateAAPL
Questions4 asked
Answersreal, captured
Actions1 rule · dry run

State

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

Questions

`soon`	rule	`days_to_earnings <= 5` earnings within 5 days
`big`	rule	`abs(last_earnings_move) > 3` last earnings reaction bigger than 3%
`gap`	rule	`abs(last_earnings_gap) > 2` last earnings gap bigger than 2%
`move`	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
`soon` earnings within 5 days	0.7951	true
`big` last earnings reaction bigger than 3%	0.9463	true
`gap` last earnings gap bigger than 2%	0.9463	true
`move` A big move either way in 5 days	0.409	41% · close to even

Actions

Rules on the answers decide what to send.

soon >= 0.6 and big >= 0.6→Webhookoptions-bot

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

armwould send (dry run)Webhook → options-bot

{
  "symbol": "AAPL",
  "command": "arm_earnings",
  "p_big_move5": 0.409,
  "as_of": "2026-10-30"
}

What it means

For AAPL on the session of 2026-10-30: True now: earnings within 5 days; last earnings reaction bigger than 3%; last earnings gap bigger than 2%. Forecasts: A big move either way in 5 days 41%. Fired: arm (Webhook → options-bot).

Facts about the calendar and past reactions arm the bot; the forecast is passed through so the bot can choose its size.

Request JSON

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "AAPL"
  },
  "questions": {
    "soon": {
      "type": "yes_no",
      "ask": "days_to_earnings <= 5"
    },
    "big": {
      "type": "yes_no",
      "ask": "abs(last_earnings_move) > 3"
    },
    "gap": {
      "type": "yes_no",
      "ask": "abs(last_earnings_gap) > 2"
    },
    "move": {
      "type": "yes_no",
      "instructions": "Will there be a big move in either direction in the next 5 days?"
    }
  },
  "actions": [
    {
      "id": "arm",
      "when": "soon >= 0.6 and big >= 0.6",
      "do": "webhook",
      "connection": "options-bot",
      "body": {
        "symbol": "{{symbol}}",
        "command": "arm_earnings",
        "p_big_move5": "{{move}}",
        "as_of": "{{as_of}}"
      }
    }
  ],
  "dry_run": true
}

Response JSON (AAPL, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "soon": {
      "yes_no": 0.7951,
      "rule": "days_to_earnings <= 5",
      "basis": "rule"
    },
    "big": {
      "yes_no": 0.9463,
      "rule": "abs(last_earnings_move) > 3",
      "basis": "rule"
    },
    "gap": {
      "yes_no": 0.9463,
      "rule": "abs(last_earnings_gap) > 2",
      "basis": "rule"
    },
    "move": {
      "yes_no": 0.409
    }
  },
  "context": {
    "symbol": "AAPL",
    "as_of": "2026-10-30"
  },
  "actions": [
    {
      "id": "arm",
      "fired": true,
      "status": "dry_run",
      "do": "webhook",
      "connection": "options-bot",
      "preview": {
        "body": {
          "symbol": "AAPL",
          "command": "arm_earnings",
          "p_big_move5": 0.409,
          "as_of": "2026-10-30"
        }
      }
    }
  ]
}

abs days_to_earnings last_earnings_gap last_earnings_move

Try it in the Playground

Algo / bot developer · example 14

CCI trend-entry bot on industrials: HON and GE

Enter industrial names when CCI crosses above 100 inside an uptrend.

ora-fin-0.1.12 symbols, one request each4 questions

State2 symbols
Questions4 asked
Answersreal, captured
Actionsnone

State

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

Questions

`cci_x`	rule	`crossup(cci(20), 100)` CCI crossed above 100 today
`trend`	rule	`C > sma(C, 50)` Above the 50-day average
`adx`	rule	`adx(14) > 20 and diplus(14) > diminus(14)` Trending up (ADX over 20 and +DI over −DI)
`up_week`	forecast	Will the stock be higher in a week? Higher in a week

Answers

Symbol	`cci_x`rule	`trend`rule	`adx`rule	`up_week`forecast
`HON`	0.05	0.7899	0.129	0.546
`GE`	0.05	0.1431	0.5561	0.496

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: CCI crossed above 100 today: true for none of 2. Above the 50-day average: true for HON of 2. Trending up (ADX over 20 and +DI over −DI): true for none of 2. Highest odds for “Higher in a week”: HON at 55%.

The cross is the trigger and the trend rules are filters; the bot only trades symbols where all three line up.

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

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "HON"
  },
  "questions": {
    "cci_x": {
      "type": "yes_no",
      "ask": "crossup(cci(20), 100)"
    },
    "trend": {
      "type": "yes_no",
      "ask": "C > sma(C, 50)"
    },
    "adx": {
      "type": "yes_no",
      "ask": "adx(14) > 20 and diplus(14) > diminus(14)"
    },
    "up_week": {
      "type": "yes_no",
      "instructions": "Will the stock be higher in a week?"
    }
  }
}

Response JSON (HON, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "cci_x": {
      "yes_no": 0.05,
      "rule": "crossup(cci(20), 100)",
      "basis": "rule"
    },
    "trend": {
      "yes_no": 0.7899,
      "rule": "C > sma(C, 50)",
      "basis": "rule"
    },
    "adx": {
      "yes_no": 0.129,
      "rule": "adx(14) > 20 and diplus(14) > diminus(14)",
      "basis": "rule"
    },
    "up_week": {
      "yes_no": 0.546
    }
  },
  "context": {
    "symbol": "HON",
    "as_of": "2026-10-30"
  }
}

adx cci crossup diminus diplus sma

Try it in the Playground

Algo / bot developer · example 15

Weekly bot health digest by email

Every Friday, email the bot owner the state of each traded symbol: trend, volatility and drawdown odds.

ora-fin-0.1.13 symbols, one request each4 questions1 actionworkflow · Fri at 17:30 ET

ScheduleFri at 17:30 ET
State3 symbols
Questions4 asked
Answersreal, captured
Actions1 rule · dry run

State

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

Questions

`trend`	English → rule	Is the stock above its 200-day moving average?
`hv`	English → rule	Is 20-day historical volatility below 20%?
`drop5`	forecast	Will it drop at least 5% at some point in the next month? A 5% drawdown within a month
`vol_up`	forecast	Will volatility be higher over the next month? Higher volatility next month

Answers

Symbol	`trend`rule	`hv`rule	`drop5`forecast	`vol_up`forecast	Fired
`SPY`	0.9451	0.9463	0.203	0.69	`digest`
`QQQ`	0.7987	0.1956	0.443	0.523	`digest`
`IWM`	0.5564	0.9387	0.234	0.508	`digest`

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.

trend >= 0→Emailme

SPY 1 of 1 fired · dry run, nothing sent

digestwould send (dry run)Email → me

{
  "subject": "Bot universe: SPY (2026-10-30)",
  "text": "SPY: above 200-day 95%, calm volatility 95%, 5% drawdown odds 20%, higher volatility next month 69%."
}

QQQ 1 of 1 fired · dry run, nothing sent

digestwould send (dry run)Email → me

{
  "subject": "Bot universe: QQQ (2026-10-30)",
  "text": "QQQ: above 200-day 80%, calm volatility 20%, 5% drawdown odds 44%, higher volatility next month 52%."
}

IWM 1 of 1 fired · dry run, nothing sent

digestwould send (dry run)Email → me

{
  "subject": "Bot universe: IWM (2026-10-30)",
  "text": "IWM: above 200-day 56%, calm volatility 94%, 5% drawdown odds 23%, higher volatility next month 51%."
}

What it means

Session of 2026-10-30, 3 symbols: Is the stock above its 200-day moving average: true for SPY, QQQ of 3. Is 20-day historical volatility below 20%: true for SPY, IWM of 3. Highest odds for “A 5% drawdown within a month”: QQQ at 44%. digest fired for SPY, QQQ, IWM.

A weekly look at the regime each bot trades in helps decide which bots to leave running next week.

As a scheduled workflow (Fri at 17:30 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 bot health digest by email",
  "symbols": "SPY QQQ IWM",
  "days": [
    5
  ],
  "at_time": "17:30",
  "model": "ora-fin-0.1.1",
  "questions": {
    "trend": {
      "type": "yes_no",
      "instructions": "Is the stock above its 200-day moving average?"
    },
    "hv": {
      "type": "yes_no",
      "instructions": "Is 20-day historical volatility below 20%?"
    },
    "drop5": {
      "type": "yes_no",
      "instructions": "Will it drop at least 5% at some point in the next month?"
    },
    "vol_up": {
      "type": "yes_no",
      "instructions": "Will volatility be higher over the next month?"
    }
  },
  "actions": [
    {
      "id": "digest",
      "when": "trend >= 0",
      "do": "email",
      "connection": "me",
      "subject": "Bot universe: {{symbol}} ({{as_of}})",
      "message": "{{symbol}}: above 200-day {{trend|pct}}, calm volatility {{hv|pct}}, 5% drawdown odds {{drop5|pct}}, higher volatility next month {{vol_up|pct}}."
    }
  ]
}

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

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "SPY"
  },
  "questions": {
    "trend": {
      "type": "yes_no",
      "instructions": "Is the stock above its 200-day moving average?"
    },
    "hv": {
      "type": "yes_no",
      "instructions": "Is 20-day historical volatility below 20%?"
    },
    "drop5": {
      "type": "yes_no",
      "instructions": "Will it drop at least 5% at some point in the next month?"
    },
    "vol_up": {
      "type": "yes_no",
      "instructions": "Will volatility be higher over the next month?"
    }
  },
  "actions": [
    {
      "id": "digest",
      "when": "trend >= 0",
      "do": "email",
      "connection": "me",
      "subject": "Bot universe: {{symbol}} ({{as_of}})",
      "message": "{{symbol}}: above 200-day {{trend|pct}}, calm volatility {{hv|pct}}, 5% drawdown odds {{drop5|pct}}, higher volatility next month {{vol_up|pct}}."
    }
  ],
  "dry_run": true
}

Response JSON (SPY, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "trend": {
      "yes_no": 0.9451,
      "rule": "C > sma(C, 200)",
      "basis": "comparison"
    },
    "hv": {
      "yes_no": 0.9463,
      "rule": "std(log(C / C[-1]), 20) * sqrt(20 / 19) * sqrt(252) < 0.2",
      "basis": "pattern"
    },
    "drop5": {
      "yes_no": 0.203
    },
    "vol_up": {
      "yes_no": 0.69
    }
  },
  "context": {
    "symbol": "SPY",
    "as_of": "2026-10-30"
  },
  "actions": [
    {
      "id": "digest",
      "fired": true,
      "status": "dry_run",
      "do": "email",
      "connection": "me",
      "preview": {
        "subject": "Bot universe: SPY (2026-10-30)",
        "text": "SPY: above 200-day 95%, calm volatility 95%, 5% drawdown odds 20%, higher volatility next month 69%."
      }
    }
  ]
}

log offset sma sqrt std

Try it in the Playground

Algo / bot developer · example 16

OBV divergence detector for DE

Flag when price makes a 20-day low but on-balance volume does not, a bullish divergence some bots trade.

ora-fin-0.1.1DE4 questions

StateDE
Questions4 asked
Answersreal, captured
Actionsnone

State

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

Questions

`price_low`	rule	`L < lowest(L, 20)` new 20-day low in price
`obv_not_low`	rule	`obv() > lowest(obv(), 20)` on-balance volume above its prior 20-day low
`obv_up`	rule	`obv() > sma(obv(), 20)` On-balance volume above its 20-day average
`up_week`	forecast	Will the stock be higher in a week? Higher in a week

Answers

Question	Answer	Reading
`price_low` new 20-day low in price	0.1204	false
`obv_not_low` on-balance volume above its prior 20-day low	0.9389	true
`obv_up` On-balance volume above its 20-day average	0.9015	true
`up_week` Higher in a week	0.539	54% · close to even

What it means

For DE on the session of 2026-10-30: True now: on-balance volume above its prior 20-day low; On-balance volume above its 20-day average. Not true: new 20-day low in price. Forecasts: Higher in a week 54%.

Divergence needs both rules true on the same bar; the forecast is a sanity check, not the trigger.

Request JSON

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "DE"
  },
  "questions": {
    "price_low": {
      "type": "yes_no",
      "ask": "L < lowest(L, 20)"
    },
    "obv_not_low": {
      "type": "yes_no",
      "ask": "obv() > lowest(obv(), 20)"
    },
    "obv_up": {
      "type": "yes_no",
      "ask": "obv() > sma(obv(), 20)"
    },
    "up_week": {
      "type": "yes_no",
      "instructions": "Will the stock be higher in a week?"
    }
  }
}

Response JSON (DE, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "price_low": {
      "yes_no": 0.1204,
      "rule": "L < lowest(L, 20)",
      "basis": "rule"
    },
    "obv_not_low": {
      "yes_no": 0.9389,
      "rule": "obv() > lowest(obv(), 20)",
      "basis": "rule"
    },
    "obv_up": {
      "yes_no": 0.9015,
      "rule": "obv() > sma(obv(), 20)",
      "basis": "rule"
    },
    "up_week": {
      "yes_no": 0.539
    }
  },
  "context": {
    "symbol": "DE",
    "as_of": "2026-10-30"
  }
}

lowest obv sma

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Algo / bot developer · example 17

Bar-quality checks before a bot trades GS

Skip trading on odd bars: a doji, a tiny range or an extreme close, using the raw bar functions.

ora-fin-0.1.1GS4 questions

StateGS
Questions4 asked
Answersreal, captured
Actionsnone

State

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

Questions

`doji`	rule	`doji()` doji candle: Body at most 10% of the day's range.
`tiny`	rule	`(H - L) < 0.3 * atr(14)` today's range under a third of the ATR
`top`	rule	`(C - L) / (H - L) > 0.75` Closed in the top quarter of the day's range
`bottom`	rule	`(C - L) / (H - L) < 0.25` Closed in the bottom quarter of the day's range

Answers

Question	Answer	Reading
`doji` doji candle: Body at most 10% of the day's range.	0.1397	false
`tiny` today's range under a third of the ATR	0.0608	false
`top` Closed in the top quarter of the day's range	0.1961	false
`bottom` Closed in the bottom quarter of the day's range	0.1339	false

What it means

For GS on the session of 2026-10-30: Not true: doji candle: Body at most 10% of the day's range.; today's range under a third of the ATR; Closed in the top quarter of the day's range; Closed in the bottom quarter of the day's range.

Indecisive bars make poor signals; the bot can require none of these to be true before acting on any setup.

Request JSON

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "GS"
  },
  "questions": {
    "doji": {
      "type": "yes_no",
      "ask": "doji()"
    },
    "tiny": {
      "type": "yes_no",
      "ask": "(H - L) < 0.3 * atr(14)"
    },
    "top": {
      "type": "yes_no",
      "ask": "(C - L) / (H - L) > 0.75"
    },
    "bottom": {
      "type": "yes_no",
      "ask": "(C - L) / (H - L) < 0.25"
    }
  }
}

Response JSON (GS, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "doji": {
      "yes_no": 0.1397,
      "rule": "doji()",
      "basis": "rule"
    },
    "tiny": {
      "yes_no": 0.0608,
      "rule": "(H - L) < 0.3 * atr(14)",
      "basis": "rule"
    },
    "top": {
      "yes_no": 0.1961,
      "rule": "(C - L) / (H - L) > 0.75",
      "basis": "rule"
    },
    "bottom": {
      "yes_no": 0.1339,
      "rule": "(C - L) / (H - L) < 0.25",
      "basis": "rule"
    }
  },
  "context": {
    "symbol": "GS",
    "as_of": "2026-10-30"
  }
}

atr doji

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Algo / bot developer · example 18

Percentile momentum rotation bot across sector ETFs

Rank sectors by where their 20-day return sits in its own history, and rotate into the strongest.

ora-fin-0.1.16 symbols, one request each3 questions

State6 symbols
Questions3 asked
Answersreal, captured
Actionsnone

State

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

Questions

`rank`	rule	`percentrank(roc(C, 20), 100) > 80` 20-day return in the top fifth of its last 100 sessions
`trend`	rule	`C > sma(C, 50)` Above the 50-day average
`beat_spy`	forecast	Will it beat SPY over the next month? Beating SPY over a month

Answers

Symbol	`rank`rule	`trend`rule	`beat_spy`forecast
`XLK`	0.0537	0.0776	0.498
`XLF`	0.627	0.6692	0.448
`XLE`	0.7622	0.9432	0.55
`XLV`	0.7768	0.9447	0.534
`XLI`	0.0727	0.1975	0.441
`XLY`	0.6866	0.8156	0.41

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

What it means

Session of 2026-10-30, 6 symbols: 20-day return in the top fifth of its last 100 sessions: true for XLF, XLE, XLV, XLY of 6. Above the 50-day average: true for XLF, XLE, XLV, XLY of 6. Highest odds for “Beating SPY over a month”: XLE at 55%.

The bot holds the sectors whose rank rule is true and whose trend holds; the SPY forecast breaks ties.

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

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "XLK"
  },
  "questions": {
    "rank": {
      "type": "yes_no",
      "ask": "percentrank(roc(C, 20), 100) > 80"
    },
    "trend": {
      "type": "yes_no",
      "ask": "C > sma(C, 50)"
    },
    "beat_spy": {
      "type": "yes_no",
      "instructions": "Will it beat SPY over the next month?"
    }
  }
}

Response JSON (XLK, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "rank": {
      "yes_no": 0.0537,
      "rule": "percentrank(roc(C, 20), 100) > 80",
      "basis": "rule"
    },
    "trend": {
      "yes_no": 0.0776,
      "rule": "C > sma(C, 50)",
      "basis": "rule"
    },
    "beat_spy": {
      "yes_no": 0.498
    }
  },
  "context": {
    "symbol": "XLK",
    "as_of": "2026-10-30"
  }
}

percentrank roc sma

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Algo / bot developer · example 19

A long-horizon regime switch for a bot: cumulative up days on DIA

Use cumulative counts and long averages to switch a bot between trend-following and mean-reversion modes.

ora-fin-0.1.1DIA4 questions2 actions

StateDIA
Questions4 asked
Answersreal, captured
Actions2 rules · dry run

State

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

Questions

`cum`	rule	`cum(C > C[-1]) > cum(C < C[-1])` more up days than down days over the full history
`long_trend`	rule	`C > mean(C, 200)` close above its 200-day mean
`choppy`	rule	`sum(sign(C - C[-1]), 20) < 2` net up days over 20 sessions under 2
`big_move`	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
`cum` more up days than down days over the full history	0.9463	true
`long_trend` close above its 200-day mean	0.8778	true
`choppy` net up days over 20 sessions under 2	0.2573	false
`big_move` A big move either way in 5 days	0.412	41% · close to even

Actions

Rules on the answers decide what to send.

long_trend >= 0.6 and choppy < 0.4→Webhookbot-controller

else→Webhookbot-controller

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

mode_trendwould send (dry run)Webhook → bot-controller

{
  "symbol": "DIA",
  "mode": "trend_following",
  "as_of": "2026-10-30"
}

mode_revertrule false: skipped

What it means

For DIA on the session of 2026-10-30: True now: more up days than down days over the full history; close above its 200-day mean. Not true: net up days over 20 sessions under 2. Forecasts: A big move either way in 5 days 41%. Fired: mode_trend (Webhook → bot-controller).

Exactly one mode is sent per run, so the bot's behavior on any day can be traced to the rule state that chose it.

Request JSON

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "DIA"
  },
  "questions": {
    "cum": {
      "type": "yes_no",
      "ask": "cum(C > C[-1]) > cum(C < C[-1])"
    },
    "long_trend": {
      "type": "yes_no",
      "ask": "C > mean(C, 200)"
    },
    "choppy": {
      "type": "yes_no",
      "ask": "sum(sign(C - C[-1]), 20) < 2"
    },
    "big_move": {
      "type": "yes_no",
      "instructions": "Will there be a big move in either direction in the next 5 days?"
    }
  },
  "actions": [
    {
      "id": "mode_trend",
      "when": "long_trend >= 0.6 and choppy < 0.4",
      "do": "webhook",
      "connection": "bot-controller",
      "body": {
        "symbol": "{{symbol}}",
        "mode": "trend_following",
        "as_of": "{{as_of}}"
      }
    },
    {
      "id": "mode_revert",
      "when": "else",
      "do": "webhook",
      "connection": "bot-controller",
      "body": {
        "symbol": "{{symbol}}",
        "mode": "mean_reversion",
        "p_choppy": "{{choppy}}",
        "as_of": "{{as_of}}"
      }
    }
  ],
  "dry_run": true
}

Response JSON (DIA, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "cum": {
      "yes_no": 0.9463,
      "rule": "cum(C > C[-1]) > cum(C < C[-1])",
      "basis": "rule"
    },
    "long_trend": {
      "yes_no": 0.8778,
      "rule": "C > mean(C, 200)",
      "basis": "rule"
    },
    "choppy": {
      "yes_no": 0.2573,
      "rule": "sum(sign(C - C[-1]), 20) < 2",
      "basis": "rule"
    },
    "big_move": {
      "yes_no": 0.412
    }
  },
  "context": {
    "symbol": "DIA",
    "as_of": "2026-10-30"
  },
  "actions": [
    {
      "id": "mode_trend",
      "fired": true,
      "status": "dry_run",
      "do": "webhook",
      "connection": "bot-controller",
      "preview": {
        "body": {
          "symbol": "DIA",
          "mode": "trend_following",
          "as_of": "2026-10-30"
        }
      }
    },
    {
      "id": "mode_revert",
      "fired": false,
      "status": "skipped"
    }
  ]
}

cum mean offset sign sum

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Algo / bot developer · example 20

Outside-bar and tweezer filter for a BAC swing bot

Flag reversal bars at extremes (outside bars, tweezers) that a bot uses to tighten stops.

ora-fin-0.1.1BAC4 questions

StateBAC
Questions4 asked
Answersreal, captured
Actionsnone

State

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

Questions

`outside`	English → rule	Is today an outside day?
`tweezer_top`	rule	`tweezer_top()` tweezer top candle: Green then red, with highs within 0.1%.
`tweezer_bottom`	English → rule	Is there a tweezer bottom on the last two candles?
`key_rev`	rule	`L < lowest(L, 10) and C > C[-1]` New 10-day low, but closed up on the day

Answers

Question	Answer	Reading
`outside` Is today an outside day compiled to `outside_bar()`	0.1566	false
`tweezer_top` tweezer top candle: Green then red, with highs within 0.1%.	0.1253	false
`tweezer_bottom` Is there a tweezer bottom on the last two candles compiled to `tweezer_bottom()`	0.0806	false
`key_rev` New 10-day low, but closed up on the day	0.0952	false

What it means

For BAC on the session of 2026-10-30: Not true: Is today an outside day; tweezer top candle: Green then red, with highs within 0.1%.; Is there a tweezer bottom on the last two candles; New 10-day low, but closed up on the day.

These bars mark where the market changed its mind; the bot tightens stops on a true answer rather than opening new trades.

Request JSON

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "BAC"
  },
  "questions": {
    "outside": {
      "type": "yes_no",
      "instructions": "Is today an outside day?"
    },
    "tweezer_top": {
      "type": "yes_no",
      "ask": "tweezer_top()"
    },
    "tweezer_bottom": {
      "type": "yes_no",
      "instructions": "Is there a tweezer bottom on the last two candles?"
    },
    "key_rev": {
      "type": "yes_no",
      "ask": "L < lowest(L, 10) and C > C[-1]"
    }
  }
}

Response JSON (BAC, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "outside": {
      "yes_no": 0.1566,
      "rule": "outside_bar()",
      "basis": "pattern"
    },
    "tweezer_top": {
      "yes_no": 0.1253,
      "rule": "tweezer_top()",
      "basis": "rule"
    },
    "tweezer_bottom": {
      "yes_no": 0.0806,
      "rule": "tweezer_bottom()",
      "basis": "pattern"
    },
    "key_rev": {
      "yes_no": 0.0952,
      "rule": "L < lowest(L, 10) and C > C[-1]",
      "basis": "rule"
    }
  },
  "context": {
    "symbol": "BAC",
    "as_of": "2026-10-30"
  }
}

lowest offset outside_bar tweezer_bottom tweezer_top

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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 Builders: Quant developer, Fintech app builder, Robo-advisor, Broker app, Data vendor / platform, Trading educator / newsletter.

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Bar-quality checks before a bot trades GS

State

Questions

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What it means

Percentile momentum rotation bot across sector ETFs

State

Questions

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What it means

A long-horizon regime switch for a bot: cumulative up days on DIA

State

Questions

Answers

Actions

What it means

Outside-bar and tweezer filter for a BAC swing bot

State

Questions

Answers

What it means