Model

Hedge fund PM: 20 ways to use Ora

Long/short books: catalysts, crowding, stops and gross/net decisions every morning. Each example is a complete, runnable request with the real answers it returned (43 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 (58)

sma 9 offset 8 ref 5 atr 4 avg 3 lowest 3 swinglow 3 days_to_earnings 3 roc 3 log 2 sqrt 2 std 2 macd 2 swinghigh 2 abs 2 last_earnings_move 2 ema 2 rsi 2 highest 2 beat_eps_last 2 beat_revenue_last 2 percentrank 2 days_to_ex_div 2 tr 2 macdsignal 1 three_black_crows 1 beat_streak 1 eps_surprise_pct 1 linreg 1 engulfing_bear 1 evening_star 1 shooting_star 1 days_since_earnings 1 last_earnings_gap 1 pre_earnings_close 1 revenue_surprise_pct 1 max 1 dark_cloud 1 next_report_bmo 1 atr_pct 1 three_white_soldiers 1 adx 1 highestbars 1 div_yield_ttm 1 next_div_amount 1 hammer 1 piercing_line 1 stochk 1 willr 1 obv 1 sign 1 sum 1 crossdown 1 zscore 1 days_since_split 1 days_to_split 1 last_split_ratio 1 splits_5y 1

Examples 1–10 of 20 · page 1 of 2

Hedge fund PM · example 1

Morning gross/net read from SPY and QQQ

Before the open, decide whether to run the book with more or less net exposure from trend, volatility and drawdown odds.

ora-fin-0.1.12 symbols, one request each6 questions2 actionsworkflow · Mon–Fri at 08:15 ET

ScheduleMon–Fri at 08:15 ET
State2 symbols
Questions6 asked
Answersreal, captured
Actions2 rules · dry run

State

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

Questions

`trend`	English → rule	Is the stock above its 200-day moving average?
`above_50d`	rule	`C > sma(C, 50)` Above the 50-day average
`hv`	rule	`std(log(C / C[-1]), 20) * sqrt(252) > 0.4` Annualized 20-day volatility above 40%
`vol5`	English → rule	Is 5-day volatility higher than 20-day volatility?
`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	`above_50d`rule	`hv`rule	`vol5`rule	`drop5`forecast	`vol_up`forecast	Fired
`SPY`	0.9451	0.1128	0.0537	0.8872	0.203	0.69	`cut_net`
`QQQ`	0.7987	0.0653	0.0537	0.9069	0.443	0.523	`cut_net`

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.

drop5 >= 0.5 or (above_50d < 0.4 and vol5 >= 0.6)→Slackpm-desk

else→Slackpm-desk

SPY 1 of 2 fired · dry run, nothing sent

cut_netwould send (dry run)Slack → pm-desk

{
  "text": "SPY (2026-10-30): cut net. Under the 50-day 11%, short-term vol rising 89%, 5% drawdown odds 20%."
}

hold_netrule false: skipped

QQQ 1 of 2 fired · dry run, nothing sent

cut_netwould send (dry run)Slack → pm-desk

{
  "text": "QQQ (2026-10-30): cut net. Under the 50-day 7%, short-term vol rising 91%, 5% drawdown odds 44%."
}

hold_netrule false: skipped

What it means

Session of 2026-10-30, 2 symbols: Is the stock above its 200-day moving average: true for SPY, QQQ of 2. Above the 50-day average: true for none of 2. Annualized 20-day volatility above 40%: true for none of 2. Is 5-day volatility higher than 20-day volatility: true for SPY, QQQ of 2. Highest odds for “A 5% drawdown within a month”: QQQ at 44%. cut_net fired for SPY, QQQ. hold_net fired for none.

The desk gets a cut or keep line per index each morning; the PM still sizes the change, the rule only frames it.

As a scheduled workflow (Mon–Fri at 08:15 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": "Morning gross/net read from SPY and QQQ",
  "symbols": "SPY QQQ",
  "days": [
    1,
    2,
    3,
    4,
    5
  ],
  "at_time": "08:15",
  "model": "ora-fin-0.1.1",
  "questions": {
    "trend": {
      "type": "yes_no",
      "instructions": "Is the stock above its 200-day moving average?"
    },
    "above_50d": {
      "type": "yes_no",
      "ask": "C > sma(C, 50)"
    },
    "hv": {
      "type": "yes_no",
      "ask": "std(log(C / C[-1]), 20) * sqrt(252) > 0.4"
    },
    "vol5": {
      "type": "yes_no",
      "instructions": "Is 5-day volatility higher than 20-day volatility?"
    },
    "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": "cut_net",
      "when": "drop5 >= 0.5 or (above_50d < 0.4 and vol5 >= 0.6)",
      "do": "slack",
      "connection": "pm-desk",
      "message": "{{symbol}} ({{as_of}}): cut net. Under the 50-day {{above_50d|pct}}, short-term vol rising {{vol5|pct}}, 5% drawdown odds {{drop5|pct}}."
    },
    {
      "id": "hold_net",
      "when": "else",
      "do": "slack",
      "connection": "pm-desk",
      "message": "{{symbol}} ({{as_of}}): keep net. Above the 200-day {{trend|pct}}; higher vol 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?"
    },
    "above_50d": {
      "type": "yes_no",
      "ask": "C > sma(C, 50)"
    },
    "hv": {
      "type": "yes_no",
      "ask": "std(log(C / C[-1]), 20) * sqrt(252) > 0.4"
    },
    "vol5": {
      "type": "yes_no",
      "instructions": "Is 5-day volatility higher than 20-day volatility?"
    },
    "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": "cut_net",
      "when": "drop5 >= 0.5 or (above_50d < 0.4 and vol5 >= 0.6)",
      "do": "slack",
      "connection": "pm-desk",
      "message": "{{symbol}} ({{as_of}}): cut net. Under the 50-day {{above_50d|pct}}, short-term vol rising {{vol5|pct}}, 5% drawdown odds {{drop5|pct}}."
    },
    {
      "id": "hold_net",
      "when": "else",
      "do": "slack",
      "connection": "pm-desk",
      "message": "{{symbol}} ({{as_of}}): keep net. Above the 200-day {{trend|pct}}; higher vol 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"
    },
    "above_50d": {
      "yes_no": 0.1128,
      "rule": "C > sma(C, 50)",
      "basis": "rule"
    },
    "hv": {
      "yes_no": 0.0537,
      "rule": "std(log(C / C[-1]), 20) * sqrt(252) > 0.4",
      "basis": "rule"
    },
    "vol5": {
      "yes_no": 0.8872,
      "rule": "std(log(C / C[-1]), 5) * sqrt(5 / 4) > std(log(C / C[-1]), 20) * sqrt(20 / 19)",
      "basis": "pattern"
    },
    "drop5": {
      "yes_no": 0.203
    },
    "vol_up": {
      "yes_no": 0.69
    }
  },
  "context": {
    "symbol": "SPY",
    "as_of": "2026-10-30"
  },
  "actions": [
    {
      "id": "cut_net",
      "fired": true,
      "status": "dry_run",
      "do": "slack",
      "connection": "pm-desk",
      "preview": {
        "text": "SPY (2026-10-30): cut net. Under the 50-day 11%, short-term vol rising 89%, 5% drawdown odds 20%."
      }
    },
    {
      "id": "hold_net",
      "fired": false,
      "status": "skipped"
    }
  ]
}

log offset sma sqrt std

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Hedge fund PM · example 2

Short candidate: is INTC breaking down on volume?

Confirm a short thesis with structure: lower swing highs and lows, a breakdown on volume and weak momentum.

ora-fin-0.1.1INTC6 questions1 action

StateINTC
Questions6 asked
Answersreal, captured
Actions1 rule · dry run

State

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

Questions

`lh_ll`	English → rule	Is the stock making lower swing highs and lower swing lows?
`breakdown`	rule	`C < lowest(L, 20)` Closed under the 20-day low
`down_vol`	rule	`C < C[-1] and V > 1.5 * ref(avg(V, 20), -1)` Down on heavy volume
`macd_dn`	rule	`macd(C) < macdsignal(C)` MACD under its signal line
`crows`	rule	`three_black_crows()` three black crows candle: Three red bars, each closing lower and opening inside the previous body.
`drop10`	forecast	Will it drop at least 10% at some point in the next month? A 10% drawdown within a month

Answers

Question	Answer	Reading
`lh_ll` Is the stock making lower swing highs and lower swing lows compiled to `(swinghigh(5, 1) < swinghigh(5, 2)) and (swinglow(5, 1) < swinglow(5, 2))`	0.1552	false
`breakdown` Closed under the 20-day low	0.9122	true
`down_vol` Down on heavy volume	0.9463	true
`macd_dn` MACD under its signal line	0.8659	true
`crows` three black crows candle: Three red bars, each closing lower and opening inside the previous body.	0.0537	false
`drop10` A 10% drawdown within a month	0.836	84% · likely

Actions

Rules on the answers decide what to send.

breakdown >= 0.6 and down_vol >= 0.6→Webhookoms

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

short_ticketwould send (dry run)Webhook → oms

{
  "side": "sell_short",
  "symbol": "INTC",
  "size_bps_nav": 25,
  "stop": "above_last_swing_high",
  "thesis": "breakdown_on_volume",
  "p_breakdown": 0.9122,
  "p_drop10": 0.836,
  "as_of": "2026-10-30"
}

What it means

For INTC on the session of 2026-10-30: True now: Closed under the 20-day low; Down on heavy volume; MACD under its signal line. Not true: Is the stock making lower swing highs and lower swing lows; three black crows candle: Three red bars, each closing lower and opening inside the previous body.. Forecasts: A 10% drawdown within a month 84%. Fired: short_ticket (Webhook → oms).

A staged short ticket goes to the OMS only when the breakdown and the volume both confirm; structure and momentum support the thesis but do not trigger it.

Request JSON

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "INTC"
  },
  "questions": {
    "lh_ll": {
      "type": "yes_no",
      "instructions": "Is the stock making lower swing highs and lower swing lows?"
    },
    "breakdown": {
      "type": "yes_no",
      "ask": "C < lowest(L, 20)"
    },
    "down_vol": {
      "type": "yes_no",
      "ask": "C < C[-1] and V > 1.5 * ref(avg(V, 20), -1)"
    },
    "macd_dn": {
      "type": "yes_no",
      "ask": "macd(C) < macdsignal(C)"
    },
    "crows": {
      "type": "yes_no",
      "ask": "three_black_crows()"
    },
    "drop10": {
      "type": "yes_no",
      "instructions": "Will it drop at least 10% at some point in the next month?"
    }
  },
  "actions": [
    {
      "id": "short_ticket",
      "when": "breakdown >= 0.6 and down_vol >= 0.6",
      "do": "webhook",
      "connection": "oms",
      "body": {
        "side": "sell_short",
        "symbol": "{{symbol}}",
        "size_bps_nav": 25,
        "stop": "above_last_swing_high",
        "thesis": "breakdown_on_volume",
        "p_breakdown": "{{breakdown}}",
        "p_drop10": "{{drop10}}",
        "as_of": "{{as_of}}"
      }
    }
  ],
  "dry_run": true
}

Response JSON (INTC, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "lh_ll": {
      "yes_no": 0.1552,
      "rule": "(swinghigh(5, 1) < swinghigh(5, 2)) and (swinglow(5, 1) < swinglow(5, 2))",
      "basis": "pattern"
    },
    "breakdown": {
      "yes_no": 0.9122,
      "rule": "C < lowest(L, 20)",
      "basis": "rule"
    },
    "down_vol": {
      "yes_no": 0.9463,
      "rule": "C < C[-1] and V > 1.5 * ref(avg(V, 20), -1)",
      "basis": "rule"
    },
    "macd_dn": {
      "yes_no": 0.8659,
      "rule": "macd(C) < macdsignal(C)",
      "basis": "rule"
    },
    "crows": {
      "yes_no": 0.0537,
      "rule": "three_black_crows()",
      "basis": "rule"
    },
    "drop10": {
      "yes_no": 0.836
    }
  },
  "context": {
    "symbol": "INTC",
    "as_of": "2026-10-30"
  },
  "actions": [
    {
      "id": "short_ticket",
      "fired": true,
      "status": "dry_run",
      "do": "webhook",
      "connection": "oms",
      "preview": {
        "body": {
          "side": "sell_short",
          "symbol": "INTC",
          "size_bps_nav": 25,
          "stop": "above_last_swing_high",
          "thesis": "breakdown_on_volume",
          "p_breakdown": 0.9122,
          "p_drop10": 0.836,
          "as_of": "2026-10-30"
        }
      }
    }
  ]
}

avg lowest macd macdsignal offset ref swinghigh swinglow three_black_crows

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Hedge fund PM · example 3

Earnings catalyst: size NFLX into the print or not?

Decide whether to hold full size through the report using the beat record, the last reaction and the forecast.

ora-fin-0.1.1NFLX6 questions1 action

StateNFLX
Questions6 asked
Answersreal, captured
Actions1 rule · dry run

State

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

Questions

`soon`	rule	`days_to_earnings <= 10` Reports earnings within 10 days
`streak`	rule	`beat_streak >= 4` Beat four quarters in a row
`big_move`	rule	`abs(last_earnings_move) > 5` Last earnings move bigger than 5%
`surprise`	rule	`eps_surprise_pct > 5` EPS beat by more than 5%
`beat_next`	forecast	Will the stock beat earnings next quarter? Beating earnings next quarter
`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
`soon` Reports earnings within 10 days	0.0537	false
`streak` Beat four quarters in a row	0.55	on the line (true)
`big_move` Last earnings move bigger than 5%	0.9463	true
`surprise` EPS beat by more than 5%	0.6333	true
`beat_next` Beating earnings next quarter	0.498	50% · close to even
`big5` A big move either way in 5 days	0.325	33% · unlikely

Actions

Rules on the answers decide what to send.

soon >= 0.6 and big_move >= 0.6→Slackpm-desk

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

size_downrule false: skipped

What it means

For NFLX on the session of 2026-10-30: True now: Last earnings move bigger than 5%; EPS beat by more than 5%. Not true: Reports earnings within 10 days. On the line: Beat four quarters in a row. Forecasts: Beating earnings next quarter 50%; A big move either way in 5 days 33%. No action fired: every rule was false.

A history of big reactions makes the event a coin flip with fat tails; the beat forecast is odds, so sizing down is a risk choice, not a call.

Request JSON

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "NFLX"
  },
  "questions": {
    "soon": {
      "type": "yes_no",
      "ask": "days_to_earnings <= 10"
    },
    "streak": {
      "type": "yes_no",
      "ask": "beat_streak >= 4"
    },
    "big_move": {
      "type": "yes_no",
      "ask": "abs(last_earnings_move) > 5"
    },
    "surprise": {
      "type": "yes_no",
      "ask": "eps_surprise_pct > 5"
    },
    "beat_next": {
      "type": "yes_no",
      "instructions": "Will the stock beat earnings next quarter?"
    },
    "big5": {
      "type": "yes_no",
      "instructions": "Will there be a big move in either direction in the next 5 days?"
    }
  },
  "actions": [
    {
      "id": "size_down",
      "when": "soon >= 0.6 and big_move >= 0.6",
      "do": "slack",
      "connection": "pm-desk",
      "message": "{{symbol}} reports within 10 days and the last reaction was over 5%. Halve size into the print unless the thesis is the print. Beat next {{beat_next|pct}}."
    }
  ],
  "dry_run": true
}

Response JSON (NFLX, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "soon": {
      "yes_no": 0.0537,
      "rule": "days_to_earnings <= 10",
      "basis": "rule"
    },
    "streak": {
      "yes_no": 0.55,
      "rule": "beat_streak >= 4",
      "basis": "rule"
    },
    "big_move": {
      "yes_no": 0.9463,
      "rule": "abs(last_earnings_move) > 5",
      "basis": "rule"
    },
    "surprise": {
      "yes_no": 0.6333,
      "rule": "eps_surprise_pct > 5",
      "basis": "rule"
    },
    "beat_next": {
      "yes_no": 0.498
    },
    "big5": {
      "yes_no": 0.325
    }
  },
  "context": {
    "symbol": "NFLX",
    "as_of": "2026-10-30"
  },
  "actions": [
    {
      "id": "size_down",
      "fired": false,
      "status": "skipped"
    }
  ]
}

abs beat_streak days_to_earnings eps_surprise_pct last_earnings_move

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Hedge fund PM · example 4

Pair trade check: XOM vs CVX momentum

Same questions on both legs of an energy pair to see which side has the stronger trend and momentum.

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

`roc`	rule	`roc(C, 20) > 0` Positive 20-day rate of change
`rsi50`	rule	`rsi(C, 14) > 50` RSI above 50
`stacked`	rule	`C > ema(C, 20) and ema(C, 20) > sma(C, 50) and sma(C, 50) > sma(C, 200)` Stacked averages: close > 20 EMA > 50 > 200
`linreg`	rule	`linreg(C, 50) > ref(linreg(C, 50), -10)` 50-day regression line higher than 10 sessions ago
`beat_spy`	forecast	Will it beat SPY over the next month? Beating SPY over a month

Answers

Symbol	`roc`rule	`rsi50`rule	`stacked`rule	`linreg`rule	`beat_spy`forecast
`XOM`	0.9463	0.944	0.9436	0.9329	0.554
`CVX`	0.9451	0.9438	0.9402	0.9276	0.564

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: Positive 20-day rate of change: true for XOM, CVX of 2. RSI above 50: true for XOM, CVX of 2. Stacked averages: close > 20 EMA > 50 > 200: true for XOM, CVX of 2. 50-day regression line higher than 10 sessions ago: true for XOM, CVX of 2. Highest odds for “Beating SPY over a month”: CVX at 56%.

Long the leg with more trend rules true and short the other; if both legs read the same, the pair has no edge today.

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

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "XOM"
  },
  "questions": {
    "roc": {
      "type": "yes_no",
      "ask": "roc(C, 20) > 0"
    },
    "rsi50": {
      "type": "yes_no",
      "ask": "rsi(C, 14) > 50"
    },
    "stacked": {
      "type": "yes_no",
      "ask": "C > ema(C, 20) and ema(C, 20) > sma(C, 50) and sma(C, 50) > sma(C, 200)"
    },
    "linreg": {
      "type": "yes_no",
      "ask": "linreg(C, 50) > ref(linreg(C, 50), -10)"
    },
    "beat_spy": {
      "type": "yes_no",
      "instructions": "Will it beat SPY over the next month?"
    }
  }
}

Response JSON (XOM, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "roc": {
      "yes_no": 0.9463,
      "rule": "roc(C, 20) > 0",
      "basis": "rule"
    },
    "rsi50": {
      "yes_no": 0.944,
      "rule": "rsi(C, 14) > 50",
      "basis": "rule"
    },
    "stacked": {
      "yes_no": 0.9436,
      "rule": "C > ema(C, 20) and ema(C, 20) > sma(C, 50) and sma(C, 50) > sma(C, 200)",
      "basis": "rule"
    },
    "linreg": {
      "yes_no": 0.9329,
      "rule": "linreg(C, 50) > ref(linreg(C, 50), -10)",
      "basis": "rule"
    },
    "beat_spy": {
      "yes_no": 0.554
    }
  },
  "context": {
    "symbol": "XOM",
    "as_of": "2026-10-30"
  }
}

ema linreg ref roc rsi sma

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Hedge fund PM · example 5

Crowded long unwind risk in NVDA, AMD and SMH

When everyone owns the same semis, check for stretch and topping candles that often come before an unwind.

ora-fin-0.1.13 symbols, one request each6 questions1 action

State3 symbols
Questions6 asked
Answersreal, captured
Actions1 rule · dry run

State

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

Questions

`stretched`	rule	`C > sma(C, 20) + 2 * atr(14)` Stretched: more than 2 ATR above the 20-day
`ext_200d`	rule	`C > sma(C, 200) * 1.10` More than 10% above the 200-day
`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.
`engulf_bear`	rule	`engulfing_bear()` engulfing bear candle: A red body that engulfs yesterday's green body.
`shoot`	rule	`shooting_star() and H > highest(H, 20)` Shooting star at a 20-day high
`drop10`	forecast	Will it drop at least 10% at some point in the next month? A 10% drawdown within a month

Answers

Symbol	`stretched`rule	`ext_200d`rule	`evening`rule	`engulf_bear`rule	`shoot`rule	`drop10`forecast	Fired
`NVDA`	0.0537	0.06	0.0975	0.0932	0.0537	0.523	none
`AMD`	0.061	0.8701	0.1247	0.0537	0.0537	0.763	none
`SMH`	0.0547	0.0985	0.18	0.0553	0.0537	0.641	none

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

Actions

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

stretched >= 0.6 and (engulf_bear >= 0.6 or evening >= 0.6 or shoot >= 0.6)→Slackrisk-pm

NVDA 0 of 1 fired · dry run, nothing sent

AMD 0 of 1 fired · dry run, nothing sent

SMH 0 of 1 fired · dry run, nothing sent

What it means

Session of 2026-10-30, 3 symbols: Stretched: more than 2 ATR above the 20-day: true for none of 3. More than 10% above the 200-day: true for AMD of 3. 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.: true for none of 3. engulfing bear candle: A red body that engulfs yesterday's green body.: true for none of 3. Highest odds for “A 10% drawdown within a month”: AMD at 76%. unwind_watch fired for none.

Stretch alone is common in a bull run; stretch plus a topping candle is the combination that gets the desk's attention.

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

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "NVDA"
  },
  "questions": {
    "stretched": {
      "type": "yes_no",
      "ask": "C > sma(C, 20) + 2 * atr(14)"
    },
    "ext_200d": {
      "type": "yes_no",
      "ask": "C > sma(C, 200) * 1.10"
    },
    "evening": {
      "type": "yes_no",
      "ask": "evening_star()"
    },
    "engulf_bear": {
      "type": "yes_no",
      "ask": "engulfing_bear()"
    },
    "shoot": {
      "type": "yes_no",
      "ask": "shooting_star() and H > highest(H, 20)"
    },
    "drop10": {
      "type": "yes_no",
      "instructions": "Will it drop at least 10% at some point in the next month?"
    }
  },
  "actions": [
    {
      "id": "unwind_watch",
      "when": "stretched >= 0.6 and (engulf_bear >= 0.6 or evening >= 0.6 or shoot >= 0.6)",
      "do": "slack",
      "connection": "risk-pm",
      "message": "{{symbol}} ({{as_of}}): stretched with a topping candle. 10% drawdown odds {{drop10|pct}}. Review crowded long exposure."
    }
  ],
  "dry_run": true
}

Response JSON (NVDA, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "stretched": {
      "yes_no": 0.0537,
      "rule": "C > sma(C, 20) + 2 * atr(14)",
      "basis": "rule"
    },
    "ext_200d": {
      "yes_no": 0.06,
      "rule": "C > sma(C, 200) * 1.10",
      "basis": "rule"
    },
    "evening": {
      "yes_no": 0.0975,
      "rule": "evening_star()",
      "basis": "rule"
    },
    "engulf_bear": {
      "yes_no": 0.0932,
      "rule": "engulfing_bear()",
      "basis": "rule"
    },
    "shoot": {
      "yes_no": 0.0537,
      "rule": "shooting_star() and H > highest(H, 20)",
      "basis": "rule"
    },
    "drop10": {
      "yes_no": 0.523
    }
  },
  "context": {
    "symbol": "NVDA",
    "as_of": "2026-10-30"
  },
  "actions": [
    {
      "id": "unwind_watch",
      "fired": false,
      "status": "skipped"
    }
  ]
}

atr engulfing_bear evening_star highest shooting_star sma

Try it in the Playground

Hedge fund PM · example 6

Stop discipline across the long book

After the close, check every long against a chandelier stop and send exits to the OMS for the trader to work.

ora-fin-0.1.16 symbols, one request each4 questions1 actionworkflow · Mon–Fri at 16:20 ET

ScheduleMon–Fri at 16:20 ET
State6 symbols
Questions4 asked
Answersreal, captured
Actions1 rule · dry run

State

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

Questions

`chandelier`	rule	`C < highest(H, 22) - 3 * atr(22)` Chandelier exit: 3 ATR under the 22-day high
`swing2`	rule	`C < swinglow(5, 2)` Closed below the second-to-last swing low
`low_break`	rule	`C < lowest(L, 20)` Closed under the 20-day low
`drop5`	forecast	Will it drop at least 5% at some point in the next month? A 5% drawdown within a month

Answers

Symbol	`chandelier`rule	`swing2`rule	`low_break`rule	`drop5`forecast	Fired
`AAPL`	0.1292	0.1183	0.0744	0.365	none
`MSFT`	0.2332	0.1213	0.365	0.422	none
`AMZN`	0.7594	0.6774	0.5418	0.462	`exit`
`LLY`	0.0644	0.0537	0.0537	0.583	none
`COST`	0.0881	0.0632	0.0553	0.319	none
`JPM`	0.121	0.1992	0.1005	0.30	none

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

Actions

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

chandelier >= 0.6 or swing2 >= 0.6→Webhookoms

AAPL 0 of 1 fired · dry run, nothing sent

MSFT 0 of 1 fired · dry run, nothing sent

AMZN 1 of 1 fired · dry run, nothing sent

exitwould send (dry run)Webhook → oms

{
  "side": "sell",
  "symbol": "AMZN",
  "qty": "all",
  "reason": "stop",
  "p_chandelier": 0.7594,
  "p_swing2": 0.6774,
  "as_of": "2026-10-30"
}

LLY 0 of 1 fired · dry run, nothing sent

COST 0 of 1 fired · dry run, nothing sent

JPM 0 of 1 fired · dry run, nothing sent

What it means

Session of 2026-10-30, 6 symbols: Chandelier exit: 3 ATR under the 22-day high: true for AMZN of 6. Closed below the second-to-last swing low: true for AMZN of 6. Closed under the 20-day low: true for none of 6. Highest odds for “A 5% drawdown within a month”: LLY at 58%. exit fired for AMZN.

Stops are exact rules on the close, so exits are mechanical; the drawdown forecast is attached for the trader's context.

As a scheduled workflow (Mon–Fri at 16:20 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": "Stop discipline across the long book",
  "symbols": "AAPL MSFT AMZN LLY COST JPM",
  "days": [
    1,
    2,
    3,
    4,
    5
  ],
  "at_time": "16:20",
  "model": "ora-fin-0.1.1",
  "questions": {
    "chandelier": {
      "type": "yes_no",
      "ask": "C < highest(H, 22) - 3 * atr(22)"
    },
    "swing2": {
      "type": "yes_no",
      "ask": "C < swinglow(5, 2)"
    },
    "low_break": {
      "type": "yes_no",
      "ask": "C < lowest(L, 20)"
    },
    "drop5": {
      "type": "yes_no",
      "instructions": "Will it drop at least 5% at some point in the next month?"
    }
  },
  "actions": [
    {
      "id": "exit",
      "when": "chandelier >= 0.6 or swing2 >= 0.6",
      "do": "webhook",
      "connection": "oms",
      "body": {
        "side": "sell",
        "symbol": "{{symbol}}",
        "qty": "all",
        "reason": "stop",
        "p_chandelier": "{{chandelier}}",
        "p_swing2": "{{swing2}}",
        "as_of": "{{as_of}}"
      }
    }
  ]
}

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

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "AAPL"
  },
  "questions": {
    "chandelier": {
      "type": "yes_no",
      "ask": "C < highest(H, 22) - 3 * atr(22)"
    },
    "swing2": {
      "type": "yes_no",
      "ask": "C < swinglow(5, 2)"
    },
    "low_break": {
      "type": "yes_no",
      "ask": "C < lowest(L, 20)"
    },
    "drop5": {
      "type": "yes_no",
      "instructions": "Will it drop at least 5% at some point in the next month?"
    }
  },
  "actions": [
    {
      "id": "exit",
      "when": "chandelier >= 0.6 or swing2 >= 0.6",
      "do": "webhook",
      "connection": "oms",
      "body": {
        "side": "sell",
        "symbol": "{{symbol}}",
        "qty": "all",
        "reason": "stop",
        "p_chandelier": "{{chandelier}}",
        "p_swing2": "{{swing2}}",
        "as_of": "{{as_of}}"
      }
    }
  ],
  "dry_run": true
}

Response JSON (AAPL, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "chandelier": {
      "yes_no": 0.1292,
      "rule": "C < highest(H, 22) - 3 * atr(22)",
      "basis": "rule"
    },
    "swing2": {
      "yes_no": 0.1183,
      "rule": "C < swinglow(5, 2)",
      "basis": "rule"
    },
    "low_break": {
      "yes_no": 0.0744,
      "rule": "C < lowest(L, 20)",
      "basis": "rule"
    },
    "drop5": {
      "yes_no": 0.365
    }
  },
  "context": {
    "symbol": "AAPL",
    "as_of": "2026-10-30"
  },
  "actions": [
    {
      "id": "exit",
      "fired": false,
      "status": "skipped"
    }
  ]
}

atr highest lowest swinglow

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Hedge fund PM · example 7

Post-earnings drift long: did LLY beat, gap and hold?

Look for the drift setup after a report: beat on both lines, gap up, and still above the pre-report price.

ora-fin-0.1.1LLY5 questions

StateLLY
Questions5 asked
Answersreal, captured
Actionsnone

State

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

Questions

`drift`	rule	`beat_eps_last > 0.5 and last_earnings_gap > 0 and C > pre_earnings_close` Post-earnings drift: beat, gapped up, still above the pre-earnings close
`beat_both`	rule	`beat_eps_last > 0.5 and beat_revenue_last > 0.5` Beat on EPS and revenue last quarter
`rev_surprise`	rule	`revenue_surprise_pct > 2` Revenue beat estimates by more than 2%
`recent`	rule	`days_since_earnings <= 5` Reported in the last 5 days
`up_week`	forecast	Will the stock be higher in a week? Higher in a week

Answers

Question	Answer	Reading
`drift` Post-earnings drift: beat, gapped up, still above the pre-earnings close	0.8591	true
`beat_both` Beat on EPS and revenue last quarter	0.8591	true
`rev_surprise` Revenue beat estimates by more than 2%	0.9463	true
`recent` Reported in the last 5 days	0.8967	true
`up_week` Higher in a week	0.542	54% · close to even

What it means

For LLY on the session of 2026-10-30: True now: Post-earnings drift: beat, gapped up, still above the pre-earnings close; Beat on EPS and revenue last quarter; Revenue beat estimates by more than 2%; Reported in the last 5 days. Forecasts: Higher in a week 54%.

The drift rule needs every leg at once; a beat without the hold above the pre-report close is not the setup.

Request JSON

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "LLY"
  },
  "questions": {
    "drift": {
      "type": "yes_no",
      "ask": "beat_eps_last > 0.5 and last_earnings_gap > 0 and C > pre_earnings_close"
    },
    "beat_both": {
      "type": "yes_no",
      "ask": "beat_eps_last > 0.5 and beat_revenue_last > 0.5"
    },
    "rev_surprise": {
      "type": "yes_no",
      "ask": "revenue_surprise_pct > 2"
    },
    "recent": {
      "type": "yes_no",
      "ask": "days_since_earnings <= 5"
    },
    "up_week": {
      "type": "yes_no",
      "instructions": "Will the stock be higher in a week?"
    }
  }
}

Response JSON (LLY, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "drift": {
      "yes_no": 0.8591,
      "rule": "beat_eps_last > 0.5 and last_earnings_gap > 0 and C > pre_earnings_close",
      "basis": "rule"
    },
    "beat_both": {
      "yes_no": 0.8591,
      "rule": "beat_eps_last > 0.5 and beat_revenue_last > 0.5",
      "basis": "rule"
    },
    "rev_surprise": {
      "yes_no": 0.9463,
      "rule": "revenue_surprise_pct > 2",
      "basis": "rule"
    },
    "recent": {
      "yes_no": 0.8967,
      "rule": "days_since_earnings <= 5",
      "basis": "rule"
    },
    "up_week": {
      "yes_no": 0.542
    }
  },
  "context": {
    "symbol": "LLY",
    "as_of": "2026-10-30"
  }
}

beat_eps_last beat_revenue_last days_since_earnings last_earnings_gap pre_earnings_close revenue_surprise_pct

Try it in the Playground

Hedge fund PM · example 8

Factor tilt check: MTUM, QUAL, VLUE and USMV

See which factor ETFs are trending to understand what the market is paying for before adjusting book tilts.

ora-fin-0.1.14 symbols, one request each5 questions

State4 symbols
Questions5 asked
Answersreal, captured
Actionsnone

State

{"symbol":"MTUM"} then QUAL, VLUE, USMV, one request each. The server fills in the latest completed session.

Questions

`trend`	English → rule	Is the stock above its 200-day moving average?
`roc`	rule	`roc(C, 20) > 5` Up more than 5% in 20 sessions
`near_high`	rule	`C >= 0.98 * max(H, 252)` Within 2% of the 52-week high
`pctrank`	rule	`percentrank(C, 252) > 80` Close in the top 20% of the past year
`beat_spy`	forecast	Will it beat SPY over the next month? Beating SPY over a month

Answers

Symbol	`trend`rule	`roc`rule	`near_high`rule	`pctrank`rule	`beat_spy`forecast
`MTUM`	0.2691	0.0537	0.0537	0.0604	0.486
`QUAL`	0.9463	0.0554	0.2605	0.6861	0.495
`VLUE`	0.9291	0.058	0.0581	0.1087	0.512
`USMV`	0.9463	0.4568	0.8261	0.9459	0.427

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

What it means

Session of 2026-10-30, 4 symbols: Is the stock above its 200-day moving average: true for QUAL, VLUE, USMV of 4. Up more than 5% in 20 sessions: true for none of 4. Within 2% of the 52-week high: true for USMV of 4. Close in the top 20% of the past year: true for QUAL, USMV of 4. Highest odds for “Beating SPY over a month”: VLUE at 51%.

The factors near their highs with momentum are what the market rewards now; the book's tilts can be checked against that.

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

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "MTUM"
  },
  "questions": {
    "trend": {
      "type": "yes_no",
      "instructions": "Is the stock above its 200-day moving average?"
    },
    "roc": {
      "type": "yes_no",
      "ask": "roc(C, 20) > 5"
    },
    "near_high": {
      "type": "yes_no",
      "ask": "C >= 0.98 * max(H, 252)"
    },
    "pctrank": {
      "type": "yes_no",
      "ask": "percentrank(C, 252) > 80"
    },
    "beat_spy": {
      "type": "yes_no",
      "instructions": "Will it beat SPY over the next month?"
    }
  }
}

Response JSON (MTUM, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "trend": {
      "yes_no": 0.2691,
      "rule": "C > sma(C, 200)",
      "basis": "comparison"
    },
    "roc": {
      "yes_no": 0.0537,
      "rule": "roc(C, 20) > 5",
      "basis": "rule"
    },
    "near_high": {
      "yes_no": 0.0537,
      "rule": "C >= 0.98 * max(H, 252)",
      "basis": "rule"
    },
    "pctrank": {
      "yes_no": 0.0604,
      "rule": "percentrank(C, 252) > 80",
      "basis": "rule"
    },
    "beat_spy": {
      "yes_no": 0.486
    }
  },
  "context": {
    "symbol": "MTUM",
    "as_of": "2026-10-30"
  }
}

max percentrank roc sma

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Hedge fund PM · example 9

Gap fade: did TSLA gap up and fail?

Spot a failed gap that traps late buyers, a short-term short setup.

ora-fin-0.1.1TSLA6 questions2 actions

StateTSLA
Questions6 asked
Answersreal, captured
Actions2 rules · dry run

State

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

Questions

`faded`	rule	`O > C[-1] and C < C[-1]` Gapped up but closed under yesterday's close
`gap_fill`	English → rule	Did today's gap up fill?
`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).
`close_low`	rule	`(C - L) / (H - L) < 0.25` Closed in the bottom quarter of the day's range
`gap_down`	forecast	Will it gap down tomorrow? A gap down tomorrow
`down_week`	forecast	Will the stock be lower in a week? Lower in a week

Answers

Question	Answer	Reading
`faded` Gapped up but closed under yesterday's close	0.0708	false
`gap_fill` Did today's gap up fill compiled to `(O > C[-1] * 1) and (L <= C[-1])`	0.0708	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).	0.0708	false
`close_low` Closed in the bottom quarter of the day's range	0.0788	false
`gap_down` A gap down tomorrow	0.157	16% · unlikely
`down_week` Lower in a week	0.455	46% · close to even

Actions

Rules on the answers decide what to send.

faded >= 0.6 and close_low >= 0.6→Webhookoms

else→Slackpm-desk

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

faderule false: skipped

no_fadewould send (dry run)Slack → pm-desk

{
  "text": "TSLA (2026-10-30): no failed gap today (faded 7%)."
}

What it means

For TSLA on the session of 2026-10-30: Not true: Gapped up but closed under yesterday's close; Did today's gap up fill; dark cloud candle: After a green day, opens above its close and closes below the middle of its body (but above its open).; Closed in the bottom quarter of the day's range. Forecasts: A gap down tomorrow 16%; Lower in a week 46%. Fired: no_fade (Slack → pm-desk).

A gap that fades and closes near the low is the trap; the order only stages when both rules are true.

Request JSON

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "TSLA"
  },
  "questions": {
    "faded": {
      "type": "yes_no",
      "ask": "O > C[-1] and C < C[-1]"
    },
    "gap_fill": {
      "type": "yes_no",
      "instructions": "Did today's gap up fill?"
    },
    "dark": {
      "type": "yes_no",
      "ask": "dark_cloud()"
    },
    "close_low": {
      "type": "yes_no",
      "ask": "(C - L) / (H - L) < 0.25"
    },
    "gap_down": {
      "type": "yes_no",
      "instructions": "Will it gap down tomorrow?"
    },
    "down_week": {
      "type": "yes_no",
      "instructions": "Will the stock be lower in a week?"
    }
  },
  "actions": [
    {
      "id": "fade",
      "when": "faded >= 0.6 and close_low >= 0.6",
      "do": "webhook",
      "connection": "oms",
      "body": {
        "side": "sell_short",
        "symbol": "{{symbol}}",
        "size_bps_nav": 10,
        "horizon": "1-3d",
        "p_faded": "{{faded}}",
        "p_close_low": "{{close_low}}",
        "as_of": "{{as_of}}"
      }
    },
    {
      "id": "no_fade",
      "when": "else",
      "do": "slack",
      "connection": "pm-desk",
      "message": "{{symbol}} ({{as_of}}): no failed gap today (faded {{faded|pct}})."
    }
  ],
  "dry_run": true
}

Response JSON (TSLA, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "faded": {
      "yes_no": 0.0708,
      "rule": "O > C[-1] and C < C[-1]",
      "basis": "rule"
    },
    "gap_fill": {
      "yes_no": 0.0708,
      "rule": "(O > C[-1] * 1) and (L <= C[-1])",
      "basis": "pattern"
    },
    "dark": {
      "yes_no": 0.0708,
      "rule": "dark_cloud()",
      "basis": "rule"
    },
    "close_low": {
      "yes_no": 0.0788,
      "rule": "(C - L) / (H - L) < 0.25",
      "basis": "rule"
    },
    "gap_down": {
      "yes_no": 0.157
    },
    "down_week": {
      "yes_no": 0.455
    }
  },
  "context": {
    "symbol": "TSLA",
    "as_of": "2026-10-30"
  },
  "actions": [
    {
      "id": "fade",
      "fired": false,
      "status": "skipped"
    },
    {
      "id": "no_fade",
      "fired": true,
      "status": "dry_run",
      "do": "slack",
      "connection": "pm-desk",
      "preview": {
        "text": "TSLA (2026-10-30): no failed gap today (faded 7%)."
      }
    }
  ]
}

dark_cloud offset

Try it in the Playground

Hedge fund PM · example 10

Event calendar for the book: who reports or goes ex soon?

List the names with earnings or ex-dividend dates in the next two weeks so position sizes can be checked in advance.

ora-fin-0.1.15 symbols, one request each4 questions1 action

State5 symbols
Questions4 asked
Answersreal, captured
Actions1 rule · dry run

State

{"symbol":"AAPL"} then JNJ, PG, NKE, ORCL, one request each. The server fills in the latest completed session.

Questions

`earn14`	English → rule	Is earnings in the next 14 days?
`ex30`	English → rule	Is the ex-dividend date within 30 days?
`bmo`	English → rule	Does the stock report before the market opens next time?
`big_move`	rule	`abs(last_earnings_move) > 5` Last earnings move bigger than 5%

Answers

Symbol	`earn14`rule	`ex30`rule	`bmo`rule	`big_move`rule	Fired
`AAPL`	0.9463	0.0537	0.1409	0.9463	`calendar`
`JNJ`	0.0537	0.9187	0.8591	0.9463	`calendar`
`PG`	0.0537	0.0537	0.8591	0.9463	none
`NKE`	0.0537	0.0537	0.1409	0.2018	none
`ORCL`	0.0537	0.0537	0.1409	0.0537	none

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

Actions

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

earn14 >= 0.6 or ex30 >= 0.6→Emailpm-team

AAPL 1 of 1 fired · dry run, nothing sent

calendarwould send (dry run)Email → pm-team

{
  "subject": "Event soon: AAPL",
  "text": "AAPL (2026-10-30): earnings within 14 days 95% (before the open 14%), ex-dividend within 30 days 5%. Last reaction over 5%: 95%."
}

JNJ 1 of 1 fired · dry run, nothing sent

calendarwould send (dry run)Email → pm-team

{
  "subject": "Event soon: JNJ",
  "text": "JNJ (2026-10-30): earnings within 14 days 5% (before the open 86%), ex-dividend within 30 days 92%. Last reaction over 5%: 95%."
}

PG 0 of 1 fired · dry run, nothing sent

NKE 0 of 1 fired · dry run, nothing sent

ORCL 0 of 1 fired · dry run, nothing sent

What it means

Session of 2026-10-30, 5 symbols: Is earnings in the next 14 days: true for AAPL of 5. Is the ex-dividend date within 30 days: true for JNJ of 5. Does the stock report before the market opens next time: true for JNJ, PG of 5. Last earnings move bigger than 5%: true for AAPL, JNJ, PG of 5. calendar fired for AAPL, JNJ.

Only names with an event soon produce an email; the others need no sizing change this cycle.

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

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "AAPL"
  },
  "questions": {
    "earn14": {
      "type": "yes_no",
      "instructions": "Is earnings in the next 14 days?"
    },
    "ex30": {
      "type": "yes_no",
      "instructions": "Is the ex-dividend date within 30 days?"
    },
    "bmo": {
      "type": "yes_no",
      "instructions": "Does the stock report before the market opens next time?"
    },
    "big_move": {
      "type": "yes_no",
      "ask": "abs(last_earnings_move) > 5"
    }
  },
  "actions": [
    {
      "id": "calendar",
      "when": "earn14 >= 0.6 or ex30 >= 0.6",
      "do": "email",
      "connection": "pm-team",
      "subject": "Event soon: {{symbol}}",
      "message": "{{symbol}} ({{as_of}}): earnings within 14 days {{earn14|pct}} (before the open {{bmo|pct}}), ex-dividend within 30 days {{ex30|pct}}. Last reaction over 5%: {{big_move|pct}}."
    }
  ],
  "dry_run": true
}

Response JSON (AAPL, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "earn14": {
      "yes_no": 0.9463,
      "rule": "days_to_earnings <= 14",
      "basis": "pattern"
    },
    "ex30": {
      "yes_no": 0.0537,
      "rule": "days_to_ex_div <= 30",
      "basis": "pattern"
    },
    "bmo": {
      "yes_no": 0.1409,
      "rule": "next_report_bmo > 0.5",
      "basis": "pattern"
    },
    "big_move": {
      "yes_no": 0.9463,
      "rule": "abs(last_earnings_move) > 5",
      "basis": "rule"
    }
  },
  "context": {
    "symbol": "AAPL",
    "as_of": "2026-10-30"
  },
  "actions": [
    {
      "id": "calendar",
      "fired": true,
      "status": "dry_run",
      "do": "email",
      "connection": "pm-team",
      "preview": {
        "subject": "Event soon: AAPL",
        "text": "AAPL (2026-10-30): earnings within 14 days 95% (before the open 14%), ex-dividend within 30 days 5%. Last reaction over 5%: 95%."
      }
    }
  ]
}

abs days_to_earnings days_to_ex_div last_earnings_move next_report_bmo

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 Buy side: Financial advisor / RIA, Wealth manager, Family office, Quant researcher, Portfolio manager (long-only), Risk manager, Private equity, VC / growth investor, Fund-of-funds allocator.

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