Model

Trading educator / newsletter: 20 ways to use Ora

Lessons and newsletters built on real setups, with the rule shown next to every claim. Each example is a complete, runnable request with the real answers it returned (32 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 (62)

ref 7 sma 6 offset 4 rsi 3 avg 3 highest 3 swinghigh 3 swinglow 3 atr 3 std 2 morning_star 2 evening_star 2 bbupper 2 min 2 cci 2 iif 1 dragonfly_doji 1 engulfing_bull 1 hammer 1 harami_bull 1 piercing_line 1 dark_cloud 1 engulfing_bear 1 gravestone_doji 1 hanging_man 1 shooting_star 1 beat_eps_last 1 beat_streak 1 days_to_earnings 1 macd 1 bblower 1 bbmid 1 log 1 sqrt 1 lowest 1 days_to_ex_div 1 div_count_ttm 1 div_yield_ttm 1 raised_last 1 years_of_growth 1 gap_up 1 stochd 1 stochk 1 willr 1 max 1 roc 1 spinning_top 1 three_black_crows 1 three_white_soldiers 1 barssince 1 highestbars 1 linreg 1 lowestbars 1 percentrank 1 adx 1 diminus 1 diplus 1 ema 1 obv 1 inside_bar 1 marubozu 1 outside_bar 1

Examples 1–10 of 20 · page 1 of 2

Trading educator / newsletter · example 1

Lesson: what 'above the 200-day' really means, live on SPY

Open a moving-average lesson with today's real answers, showing the English question and the exact rule it compiles to.

ora-fin-0.1.1SPY5 questions

StateSPY
Questions5 asked
Answersreal, captured
Actionsnone

State

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

Questions

`en200`	English → rule	Is the stock above its 200-day moving average?
`rule200`	rule	`C > sma(C, 200)` close above the 200-day average, written as a rule
`en50`	English → rule	Is the stock above its 50-day moving average?
`slope`	English → rule	Is the 200-day moving average rising, higher than 5 sessions ago?
`stacked`	English → rule	Is price above the 20-day, the 20-day above the 50-day, and the 50-day above the 200-day moving average?

Answers

Question	Answer	Reading
`en200` Is the stock above its 200-day moving average compiled to `C > sma(C, 200)`	0.9451	true
`rule200` close above the 200-day average, written as a rule	0.9451	true
`en50` Is the stock above its 50-day moving average compiled to `C > sma(C, 50)`	0.1128	false
`slope` Is the 200-day moving average rising, higher than 5 sessions ago compiled to `sma(C, 200) > ref(sma(C, 200), -5)`	0.9463	true
`stacked` Is price above the 20-day, the 20-day above the 50-day, and the 50-day above the 200-day moving average compiled to `(C > sma(C, 20)) and (sma(C, 20) > sma(C, 50)) and (sma(C, 50) > sma(C, 200))`	0.0816	false

What it means

For SPY on the session of 2026-10-30: True now: Is the stock above its 200-day moving average; close above the 200-day average, written as a rule; Is the 200-day moving average rising, higher than 5 sessions ago. Not true: Is the stock above its 50-day moving average; Is price above the 20-day, the 20-day above the 50-day, and the 50-day above the 200-day moving average.

Students see that the English question and the written rule give the same answer, which is the point of the lesson: words map to exact rules.

Request JSON

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "SPY"
  },
  "questions": {
    "en200": {
      "type": "yes_no",
      "instructions": "Is the stock above its 200-day moving average?"
    },
    "rule200": {
      "type": "yes_no",
      "ask": "C > sma(C, 200)"
    },
    "en50": {
      "type": "yes_no",
      "instructions": "Is the stock above its 50-day moving average?"
    },
    "slope": {
      "type": "yes_no",
      "instructions": "Is the 200-day moving average rising, higher than 5 sessions ago?"
    },
    "stacked": {
      "type": "yes_no",
      "instructions": "Is price above the 20-day, the 20-day above the 50-day, and the 50-day above the 200-day moving average?"
    }
  }
}

Response JSON (SPY, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "en200": {
      "yes_no": 0.9451,
      "rule": "C > sma(C, 200)",
      "basis": "comparison"
    },
    "rule200": {
      "yes_no": 0.9451,
      "rule": "C > sma(C, 200)",
      "basis": "rule"
    },
    "en50": {
      "yes_no": 0.1128,
      "rule": "C > sma(C, 50)",
      "basis": "comparison"
    },
    "slope": {
      "yes_no": 0.9463,
      "rule": "sma(C, 200) > ref(sma(C, 200), -5)",
      "basis": "pattern"
    },
    "stacked": {
      "yes_no": 0.0816,
      "rule": "(C > sma(C, 20)) and (sma(C, 20) > sma(C, 50)) and (sma(C, 50) > sma(C, 200))",
      "basis": "pattern"
    }
  },
  "context": {
    "symbol": "SPY",
    "as_of": "2026-10-30"
  }
}

ref sma

Try it in the Playground

Trading educator / newsletter · example 2

Lesson: RSI overbought and oversold, with live examples on AAPL and TSLA

Show the same RSI questions on a calm stock and a volatile one, so students see that thresholds behave differently.

ora-fin-0.1.12 symbols, one request each5 questions

State2 symbols
Questions5 asked
Answersreal, captured
Actionsnone

State

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

Questions

`ob`	English → rule	Is the stock overbought on RSI, above 70?
`os`	English → rule	Is the stock oversold on RSI, below 30?
`above50`	English → rule	Is the 14-day RSI above 50?
`rsi2`	rule	`rsi(C, 2) < 10` Two-day RSI under 10
`adaptive`	rule	`rsi(C, 14) < iif(C > sma(C, 200), 40, 30)` RSI under 40 in an uptrend, under 30 otherwise

Answers

Symbol	`ob`rule	`os`rule	`above50`rule	`rsi2`rule	`adaptive`rule
`AAPL`	0.0657	0.0537	0.8179	0.1464	0.0634
`TSLA`	0.0873	0.0537	0.9267	0.1345	0.0537

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

What it means

Session of 2026-10-30, 2 symbols: Is the stock overbought on RSI, above 70: true for none of 2. Is the stock oversold on RSI, below 30: true for none of 2. Is the 14-day RSI above 50: true for AAPL, TSLA of 2. Two-day RSI under 10: true for none of 2.

The adaptive rule shows students how professionals change the oversold line with the trend instead of using one number everywhere.

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

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "AAPL"
  },
  "questions": {
    "ob": {
      "type": "yes_no",
      "instructions": "Is the stock overbought on RSI, above 70?"
    },
    "os": {
      "type": "yes_no",
      "instructions": "Is the stock oversold on RSI, below 30?"
    },
    "above50": {
      "type": "yes_no",
      "instructions": "Is the 14-day RSI above 50?"
    },
    "rsi2": {
      "type": "yes_no",
      "ask": "rsi(C, 2) < 10"
    },
    "adaptive": {
      "type": "yes_no",
      "ask": "rsi(C, 14) < iif(C > sma(C, 200), 40, 30)"
    }
  }
}

Response JSON (AAPL, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "ob": {
      "yes_no": 0.0657,
      "rule": "rsi(C, 14) > 70",
      "basis": "pattern"
    },
    "os": {
      "yes_no": 0.0537,
      "rule": "rsi(C, 14) < 30",
      "basis": "pattern"
    },
    "above50": {
      "yes_no": 0.8179,
      "rule": "rsi(C, 14) > 50",
      "basis": "comparison"
    },
    "rsi2": {
      "yes_no": 0.1464,
      "rule": "rsi(C, 2) < 10",
      "basis": "rule"
    },
    "adaptive": {
      "yes_no": 0.0634,
      "rule": "rsi(C, 14) < iif(C > sma(C, 200), 40, 30)",
      "basis": "rule"
    }
  },
  "context": {
    "symbol": "AAPL",
    "as_of": "2026-10-30"
  }
}

iif rsi sma

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Trading educator / newsletter · example 3

Weekly newsletter: three setups with the rule behind every claim

Every Sunday-night issue checks the same setups on a few names and publishes the rule next to each yes or no.

ora-fin-0.1.13 symbols, one request each4 questions1 actionworkflow · Fri at 18:00 ET

ScheduleFri at 18:00 ET
State3 symbols
Questions4 asked
Answersreal, captured
Actions1 rule · dry run

State

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

Questions

`pullback`	rule	`C > sma(C, 200) and C < sma(C, 20) and rsi(C, 14) > 40` Uptrend, under the 20-day, RSI still above 40
`breakout`	rule	`C > highest(C, 20) and V > 1.5 * ref(avg(V, 20), -1)` 20-day breakout on 1.5× volume
`squeeze`	rule	`std(C, 20) < 0.7 * std(C, 100) and C > highest(C, 20)` Squeeze, then a breakout
`up_week`	forecast	Will the stock be higher in a week? Higher in a week

Answers

Symbol	`pullback`rule	`breakout`rule	`squeeze`rule	`up_week`forecast	Fired
`NVDA`	0.2184	0.0537	0.0537	0.527	`draft`
`MSFT`	0.7427	0.0604	0.0604	0.574	`draft`
`AMZN`	0.3073	0.0545	0.0545	0.493	`draft`

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.

pullback >= 0→Webhooknewsletter-platform

NVDA 1 of 1 fired · dry run, nothing sent

draftwould send (dry run)Webhook → newsletter-platform

{
  "issue": "weekly_setups",
  "symbol": "NVDA",
  "as_of": "2026-10-30",
  "trend_pullback": 0.2184,
  "breakout_on_volume": 0.0537,
  "squeeze_breakout": 0.0537,
  "p_higher_in_week": 0.527,
  "disclaimer": "Education only, not investment advice."
}

MSFT 1 of 1 fired · dry run, nothing sent

draftwould send (dry run)Webhook → newsletter-platform

{
  "issue": "weekly_setups",
  "symbol": "MSFT",
  "as_of": "2026-10-30",
  "trend_pullback": 0.7427,
  "breakout_on_volume": 0.0604,
  "squeeze_breakout": 0.0604,
  "p_higher_in_week": 0.574,
  "disclaimer": "Education only, not investment advice."
}

AMZN 1 of 1 fired · dry run, nothing sent

draftwould send (dry run)Webhook → newsletter-platform

{
  "issue": "weekly_setups",
  "symbol": "AMZN",
  "as_of": "2026-10-30",
  "trend_pullback": 0.3073,
  "breakout_on_volume": 0.0545,
  "squeeze_breakout": 0.0545,
  "p_higher_in_week": 0.493,
  "disclaimer": "Education only, not investment advice."
}

What it means

Session of 2026-10-30, 3 symbols: Uptrend, under the 20-day, RSI still above 40: true for MSFT of 3. 20-day breakout on 1.5× volume: true for none of 3. Squeeze, then a breakout: true for none of 3. Highest odds for “Higher in a week”: MSFT at 57%. draft fired for NVDA, MSFT, AMZN.

The platform receives a draft block per symbol with a disclaimer built in; the editor writes the prose around real answers.

As a scheduled workflow (Fri at 18:00 ET)

Create it under Workflows in the console: it runs these questions for every symbol on the schedule and fires the actions per symbol. The answers above are what one run returned.

{
  "name": "Weekly newsletter: three setups with the rule behind every claim",
  "symbols": "NVDA MSFT AMZN",
  "days": [
    5
  ],
  "at_time": "18:00",
  "model": "ora-fin-0.1.1",
  "questions": {
    "pullback": {
      "type": "yes_no",
      "ask": "C > sma(C, 200) and C < sma(C, 20) and rsi(C, 14) > 40"
    },
    "breakout": {
      "type": "yes_no",
      "ask": "C > highest(C, 20) and V > 1.5 * ref(avg(V, 20), -1)"
    },
    "squeeze": {
      "type": "yes_no",
      "ask": "std(C, 20) < 0.7 * std(C, 100) and C > highest(C, 20)"
    },
    "up_week": {
      "type": "yes_no",
      "instructions": "Will the stock be higher in a week?"
    }
  },
  "actions": [
    {
      "id": "draft",
      "when": "pullback >= 0",
      "do": "webhook",
      "connection": "newsletter-platform",
      "body": {
        "issue": "weekly_setups",
        "symbol": "{{symbol}}",
        "as_of": "{{as_of}}",
        "trend_pullback": "{{pullback}}",
        "breakout_on_volume": "{{breakout}}",
        "squeeze_breakout": "{{squeeze}}",
        "p_higher_in_week": "{{up_week}}",
        "disclaimer": "Education only, not investment advice."
      }
    }
  ]
}

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

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "NVDA"
  },
  "questions": {
    "pullback": {
      "type": "yes_no",
      "ask": "C > sma(C, 200) and C < sma(C, 20) and rsi(C, 14) > 40"
    },
    "breakout": {
      "type": "yes_no",
      "ask": "C > highest(C, 20) and V > 1.5 * ref(avg(V, 20), -1)"
    },
    "squeeze": {
      "type": "yes_no",
      "ask": "std(C, 20) < 0.7 * std(C, 100) and C > highest(C, 20)"
    },
    "up_week": {
      "type": "yes_no",
      "instructions": "Will the stock be higher in a week?"
    }
  },
  "actions": [
    {
      "id": "draft",
      "when": "pullback >= 0",
      "do": "webhook",
      "connection": "newsletter-platform",
      "body": {
        "issue": "weekly_setups",
        "symbol": "{{symbol}}",
        "as_of": "{{as_of}}",
        "trend_pullback": "{{pullback}}",
        "breakout_on_volume": "{{breakout}}",
        "squeeze_breakout": "{{squeeze}}",
        "p_higher_in_week": "{{up_week}}",
        "disclaimer": "Education only, not investment advice."
      }
    }
  ],
  "dry_run": true
}

Response JSON (NVDA, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "pullback": {
      "yes_no": 0.2184,
      "rule": "C > sma(C, 200) and C < sma(C, 20) and rsi(C, 14) > 40",
      "basis": "rule"
    },
    "breakout": {
      "yes_no": 0.0537,
      "rule": "C > highest(C, 20) and V > 1.5 * ref(avg(V, 20), -1)",
      "basis": "rule"
    },
    "squeeze": {
      "yes_no": 0.0537,
      "rule": "std(C, 20) < 0.7 * std(C, 100) and C > highest(C, 20)",
      "basis": "rule"
    },
    "up_week": {
      "yes_no": 0.527
    }
  },
  "context": {
    "symbol": "NVDA",
    "as_of": "2026-10-30"
  },
  "actions": [
    {
      "id": "draft",
      "fired": true,
      "status": "dry_run",
      "do": "webhook",
      "connection": "newsletter-platform",
      "preview": {
        "body": {
          "issue": "weekly_setups",
          "symbol": "NVDA",
          "as_of": "2026-10-30",
          "trend_pullback": 0.2184,
          "breakout_on_volume": 0.0537,
          "squeeze_breakout": 0.0537,
          "p_higher_in_week": 0.527,
          "disclaimer": "Education only, not investment advice."
        }
      }
    }
  ]
}

avg highest ref rsi sma std

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Trading educator / newsletter · example 4

Lesson: bullish reversal candles, checked on IWM today

Teach six bullish reversal patterns and show which, if any, printed on the latest bar.

ora-fin-0.1.1IWM6 questions2 actions

StateIWM
Questions6 asked
Answersreal, captured
Actions2 rules · dry run

State

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

Questions

`hammer`	English → rule	Is today's candle a hammer after a decline?
`engulf`	English → rule	Is today a bullish engulfing candle?
`harami`	English → rule	Is today a bullish harami?
`piercing`	English → rule	Is today a piercing line?
`morning`	English → rule	Is there a morning star on the last three candles?
`dragonfly`	English → rule	Is today's candle a dragonfly doji?

Answers

Question	Answer	Reading
`hammer` Is today's candle a hammer after a decline compiled to `hammer()`	0.1246	false
`engulf` Is today a bullish engulfing candle compiled to `engulfing_bull()`	0.0926	false
`harami` Is today a bullish harami compiled to `harami_bull()`	0.0926	false
`piercing` Is today a piercing line compiled to `piercing_line()`	0.0887	false
`morning` Is there a morning star on the last three candles compiled to `morning_star()`	0.0906	false
`dragonfly` Is today's candle a dragonfly doji compiled to `dragonfly_doji()`	0.0698	false

Actions

Rules on the answers decide what to send.

hammer >= 0.6 or engulf >= 0.6 or harami >= 0.6 or piercing >= 0.6 or morning >= 0.6 or dragonfly >= 0.6→Slackclass-channel

else→Slackclass-channel

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

spottedrule false: skipped

nonewould send (dry run)Slack → class-channel

{
  "text": "No bullish reversal candle on IWM (2026-10-30). That is the usual case: reversal candles are rare."
}

What it means

For IWM on the session of 2026-10-30: Not true: Is today's candle a hammer after a decline; Is today a bullish engulfing candle; Is today a bullish harami; Is today a piercing line; Is there a morning star on the last three candles; Is today's candle a dragonfly doji. Fired: none (Slack → class-channel).

Most days none of them is true; that is a lesson too, because reversal candles are rare and should not be seen everywhere.

Request JSON

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "IWM"
  },
  "questions": {
    "hammer": {
      "type": "yes_no",
      "instructions": "Is today's candle a hammer after a decline?"
    },
    "engulf": {
      "type": "yes_no",
      "instructions": "Is today a bullish engulfing candle?"
    },
    "harami": {
      "type": "yes_no",
      "instructions": "Is today a bullish harami?"
    },
    "piercing": {
      "type": "yes_no",
      "instructions": "Is today a piercing line?"
    },
    "morning": {
      "type": "yes_no",
      "instructions": "Is there a morning star on the last three candles?"
    },
    "dragonfly": {
      "type": "yes_no",
      "instructions": "Is today's candle a dragonfly doji?"
    }
  },
  "actions": [
    {
      "id": "spotted",
      "when": "hammer >= 0.6 or engulf >= 0.6 or harami >= 0.6 or piercing >= 0.6 or morning >= 0.6 or dragonfly >= 0.6",
      "do": "slack",
      "connection": "class-channel",
      "message": "Candle spotted on {{symbol}} ({{as_of}}): hammer {{hammer|pct}}, engulfing {{engulf|pct}}, harami {{harami|pct}}, piercing {{piercing|pct}}, morning star {{morning|pct}}, dragonfly {{dragonfly|pct}}."
    },
    {
      "id": "none",
      "when": "else",
      "do": "slack",
      "connection": "class-channel",
      "message": "No bullish reversal candle on {{symbol}} ({{as_of}}). That is the usual case: reversal candles are rare."
    }
  ],
  "dry_run": true
}

Response JSON (IWM, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "hammer": {
      "yes_no": 0.1246,
      "rule": "hammer()",
      "basis": "pattern"
    },
    "engulf": {
      "yes_no": 0.0926,
      "rule": "engulfing_bull()",
      "basis": "pattern"
    },
    "harami": {
      "yes_no": 0.0926,
      "rule": "harami_bull()",
      "basis": "pattern"
    },
    "piercing": {
      "yes_no": 0.0887,
      "rule": "piercing_line()",
      "basis": "pattern"
    },
    "morning": {
      "yes_no": 0.0906,
      "rule": "morning_star()",
      "basis": "pattern"
    },
    "dragonfly": {
      "yes_no": 0.0698,
      "rule": "dragonfly_doji()",
      "basis": "pattern"
    }
  },
  "context": {
    "symbol": "IWM",
    "as_of": "2026-10-30"
  },
  "actions": [
    {
      "id": "spotted",
      "fired": false,
      "status": "skipped"
    },
    {
      "id": "none",
      "fired": true,
      "status": "dry_run",
      "do": "slack",
      "connection": "class-channel",
      "preview": {
        "text": "No bullish reversal candle on IWM (2026-10-30). That is the usual case: reversal candles are rare."
      }
    }
  ]
}

dragonfly_doji engulfing_bull hammer harami_bull morning_star piercing_line

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Trading educator / newsletter · example 5

Lesson: bearish reversal candles on QQQ

The bearish counterpart: engulfing, dark cloud, evening star, shooting star, hanging man and gravestone doji.

ora-fin-0.1.1QQQ6 questions

StateQQQ
Questions6 asked
Answersreal, captured
Actionsnone

State

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

Questions

`engulf`	English → rule	Is today a bearish engulfing candle?
`cloud`	English → rule	Is today a dark cloud cover?
`evening`	English → rule	Is there an evening star on the last three candles?
`star`	English → rule	Is today's candle a shooting star?
`hanging`	rule	`hanging_man()` hanging man candle: Hammer shape, closing above the close five bars back.
`gravestone`	rule	`gravestone_doji()` gravestone doji candle: Doji with a long upper wick and almost no lower wick.

Answers

Question	Answer	Reading
`engulf` Is today a bearish engulfing candle compiled to `engulfing_bear()`	0.0537	false
`cloud` Is today a dark cloud cover compiled to `dark_cloud()`	0.0537	false
`evening` Is there an evening star on the last three candles compiled to `evening_star()`	0.0863	false
`star` Is today's candle a shooting star compiled to `shooting_star()`	0.0537	false
`hanging` hanging man candle: Hammer shape, closing above the close five bars back.	0.1466	false
`gravestone` gravestone doji candle: Doji with a long upper wick and almost no lower wick.	0.0537	false

What it means

For QQQ on the session of 2026-10-30: Not true: Is today a bearish engulfing candle; Is today a dark cloud cover; Is there an evening star on the last three candles; Is today's candle a shooting star; hanging man candle: Hammer shape, closing above the close five bars back.; gravestone doji candle: Doji with a long upper wick and almost no lower wick..

Each answer carries its pattern function, so students can open the definition and see why a candle did or did not qualify.

Request JSON

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "QQQ"
  },
  "questions": {
    "engulf": {
      "type": "yes_no",
      "instructions": "Is today a bearish engulfing candle?"
    },
    "cloud": {
      "type": "yes_no",
      "instructions": "Is today a dark cloud cover?"
    },
    "evening": {
      "type": "yes_no",
      "instructions": "Is there an evening star on the last three candles?"
    },
    "star": {
      "type": "yes_no",
      "instructions": "Is today's candle a shooting star?"
    },
    "hanging": {
      "type": "yes_no",
      "ask": "hanging_man()"
    },
    "gravestone": {
      "type": "yes_no",
      "ask": "gravestone_doji()"
    }
  }
}

Response JSON (QQQ, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "engulf": {
      "yes_no": 0.0537,
      "rule": "engulfing_bear()",
      "basis": "pattern"
    },
    "cloud": {
      "yes_no": 0.0537,
      "rule": "dark_cloud()",
      "basis": "pattern"
    },
    "evening": {
      "yes_no": 0.0863,
      "rule": "evening_star()",
      "basis": "pattern"
    },
    "star": {
      "yes_no": 0.0537,
      "rule": "shooting_star()",
      "basis": "pattern"
    },
    "hanging": {
      "yes_no": 0.1466,
      "rule": "hanging_man()",
      "basis": "rule"
    },
    "gravestone": {
      "yes_no": 0.0537,
      "rule": "gravestone_doji()",
      "basis": "rule"
    }
  },
  "context": {
    "symbol": "QQQ",
    "as_of": "2026-10-30"
  }
}

dark_cloud engulfing_bear evening_star gravestone_doji hanging_man shooting_star

Try it in the Playground

Trading educator / newsletter · example 6

Lesson: facts versus forecasts, using NVDA's earnings

Show the difference between questions with an exact answer (did it beat) and questions that are odds (will it beat).

ora-fin-0.1.1NVDA5 questions1 action

StateNVDA
Questions5 asked
Answersreal, captured
Actions1 rule · dry run

State

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

Questions

`beat`	English → rule	Did the stock beat EPS estimates last quarter?
`streak`	English → rule	Has the stock beaten EPS estimates 4 quarters in a row?
`soon`	English → rule	Is earnings in the next 14 days?
`beat_next`	forecast	Will the stock beat earnings next quarter? Beating earnings next quarter
`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
`beat` Did the stock beat EPS estimates last quarter compiled to `beat_eps_last > 0.5`	0.8591	true
`streak` Has the stock beaten EPS estimates 4 quarters in a row compiled to `beat_streak >= 4`	0.9463	true
`soon` Is earnings in the next 14 days compiled to `days_to_earnings <= 14`	0.1033	false
`beat_next` Beating earnings next quarter	0.516	52% · close to even
`big_move` A big move either way in 5 days	0.318	32% · unlikely

Actions

Rules on the answers decide what to send.

beat >= 0→Webhookcourse-platform

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

postwould send (dry run)Webhook → course-platform

{
  "lesson": "facts_vs_forecasts",
  "symbol": "NVDA",
  "as_of": "2026-10-30",
  "fact_beat_last": 0.8591,
  "fact_streak4": 0.9463,
  "fact_earnings_14d": 0.1033,
  "forecast_beat_next": 0.516,
  "forecast_big_move": 0.318
}

What it means

For NVDA on the session of 2026-10-30: True now: Did the stock beat EPS estimates last quarter; Has the stock beaten EPS estimates 4 quarters in a row. Not true: Is earnings in the next 14 days. Forecasts: Beating earnings next quarter 52%; A big move either way in 5 days 32%. Fired: post (Webhook → course-platform).

Facts come back with a rule and sit near yes or no; forecasts come back with no rule and sit near the middle, which students learn to read as odds.

Request JSON

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "NVDA"
  },
  "questions": {
    "beat": {
      "type": "yes_no",
      "instructions": "Did the stock beat EPS estimates last quarter?"
    },
    "streak": {
      "type": "yes_no",
      "instructions": "Has the stock beaten EPS estimates 4 quarters in a row?"
    },
    "soon": {
      "type": "yes_no",
      "instructions": "Is earnings in the next 14 days?"
    },
    "beat_next": {
      "type": "yes_no",
      "instructions": "Will the stock beat earnings next quarter?"
    },
    "big_move": {
      "type": "yes_no",
      "instructions": "Will there be a big move in either direction in the next 5 days?"
    }
  },
  "actions": [
    {
      "id": "post",
      "when": "beat >= 0",
      "do": "webhook",
      "connection": "course-platform",
      "body": {
        "lesson": "facts_vs_forecasts",
        "symbol": "{{symbol}}",
        "as_of": "{{as_of}}",
        "fact_beat_last": "{{beat}}",
        "fact_streak4": "{{streak}}",
        "fact_earnings_14d": "{{soon}}",
        "forecast_beat_next": "{{beat_next}}",
        "forecast_big_move": "{{big_move}}"
      }
    }
  ],
  "dry_run": true
}

Response JSON (NVDA, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "beat": {
      "yes_no": 0.8591,
      "rule": "beat_eps_last > 0.5",
      "basis": "pattern"
    },
    "streak": {
      "yes_no": 0.9463,
      "rule": "beat_streak >= 4",
      "basis": "pattern"
    },
    "soon": {
      "yes_no": 0.1033,
      "rule": "days_to_earnings <= 14",
      "basis": "pattern"
    },
    "beat_next": {
      "yes_no": 0.516
    },
    "big_move": {
      "yes_no": 0.318
    }
  },
  "context": {
    "symbol": "NVDA",
    "as_of": "2026-10-30"
  },
  "actions": [
    {
      "id": "post",
      "fired": true,
      "status": "dry_run",
      "do": "webhook",
      "connection": "course-platform",
      "preview": {
        "body": {
          "lesson": "facts_vs_forecasts",
          "symbol": "NVDA",
          "as_of": "2026-10-30",
          "fact_beat_last": 0.8591,
          "fact_streak4": 0.9463,
          "fact_earnings_14d": 0.1033,
          "forecast_beat_next": 0.516,
          "forecast_big_move": 0.318
        }
      }
    }
  ]
}

beat_eps_last beat_streak days_to_earnings

Try it in the Playground

Trading educator / newsletter · example 7

Quiz of the day: is KO in an uptrend? Post the answer to the class Slack

Each weekday, post yesterday's quiz answer with the rule, so students can check their own chart reading.

ora-fin-0.1.1KO4 questions1 actionworkflow · Mon–Fri at 08:00 ET

ScheduleMon–Fri at 08:00 ET
StateKO
Questions4 asked
Answersreal, captured
Actions1 rule · dry run

State

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

Questions

`trend`	English → rule	Is the stock above its 200-day moving average?
`macd`	English → rule	Is MACD above zero?
`rsi`	English → rule	Is the 14-day RSI above 50?
`hh_hl`	English → rule	Is the stock making higher swing highs and higher swing lows?

Answers

Question	Answer	Reading
`trend` Is the stock above its 200-day moving average compiled to `C > sma(C, 200)`	0.9463	true
`macd` Is MACD above zero compiled to `macd(C) > 0`	0.9314	true
`rsi` Is the 14-day RSI above 50 compiled to `rsi(C, 14) > 50`	0.8988	true
`hh_hl` Is the stock making higher swing highs and higher swing lows compiled to `(swinghigh(5, 1) > swinghigh(5, 2)) and (swinglow(5, 1) > swinglow(5, 2))`	0.1446	false

Actions

Rules on the answers decide what to send.

trend >= 0→Slackclass-channel

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

answerwould send (dry run)Slack → class-channel

{
  "text": "Quiz answer for KO (2026-10-30): above the 200-day 95%, MACD above zero 93%, RSI over 50 90%, higher swing highs and lows 14%. How did your read compare?"
}

What it means

For KO on the session of 2026-10-30: True now: Is the stock above its 200-day moving average; Is MACD above zero; Is the 14-day RSI above 50. Not true: Is the stock making higher swing highs and higher swing lows. Fired: answer (Slack → class-channel).

The answer is posted the next morning, so students commit to a view first and then compare with the exact rules.

As a scheduled workflow (Mon–Fri at 08:00 ET)

Create it under Workflows in the console: it runs these questions for every symbol on the schedule and fires the actions per symbol. The answers above are what one run returned.

{
  "name": "Quiz of the day: is KO in an uptrend? Post the answer to the class Slack",
  "symbols": "KO",
  "days": [
    1,
    2,
    3,
    4,
    5
  ],
  "at_time": "08:00",
  "model": "ora-fin-0.1.1",
  "questions": {
    "trend": {
      "type": "yes_no",
      "instructions": "Is the stock above its 200-day moving average?"
    },
    "macd": {
      "type": "yes_no",
      "instructions": "Is MACD above zero?"
    },
    "rsi": {
      "type": "yes_no",
      "instructions": "Is the 14-day RSI above 50?"
    },
    "hh_hl": {
      "type": "yes_no",
      "instructions": "Is the stock making higher swing highs and higher swing lows?"
    }
  },
  "actions": [
    {
      "id": "answer",
      "when": "trend >= 0",
      "do": "slack",
      "connection": "class-channel",
      "message": "Quiz answer for {{symbol}} ({{as_of}}): above the 200-day {{trend|pct}}, MACD above zero {{macd|pct}}, RSI over 50 {{rsi|pct}}, higher swing highs and lows {{hh_hl|pct}}. How did your read compare?"
    }
  ]
}

Request JSON

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "KO"
  },
  "questions": {
    "trend": {
      "type": "yes_no",
      "instructions": "Is the stock above its 200-day moving average?"
    },
    "macd": {
      "type": "yes_no",
      "instructions": "Is MACD above zero?"
    },
    "rsi": {
      "type": "yes_no",
      "instructions": "Is the 14-day RSI above 50?"
    },
    "hh_hl": {
      "type": "yes_no",
      "instructions": "Is the stock making higher swing highs and higher swing lows?"
    }
  },
  "actions": [
    {
      "id": "answer",
      "when": "trend >= 0",
      "do": "slack",
      "connection": "class-channel",
      "message": "Quiz answer for {{symbol}} ({{as_of}}): above the 200-day {{trend|pct}}, MACD above zero {{macd|pct}}, RSI over 50 {{rsi|pct}}, higher swing highs and lows {{hh_hl|pct}}. How did your read compare?"
    }
  ],
  "dry_run": true
}

Response JSON (KO, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "trend": {
      "yes_no": 0.9463,
      "rule": "C > sma(C, 200)",
      "basis": "comparison"
    },
    "macd": {
      "yes_no": 0.9314,
      "rule": "macd(C) > 0",
      "basis": "pattern"
    },
    "rsi": {
      "yes_no": 0.8988,
      "rule": "rsi(C, 14) > 50",
      "basis": "comparison"
    },
    "hh_hl": {
      "yes_no": 0.1446,
      "rule": "(swinghigh(5, 1) > swinghigh(5, 2)) and (swinglow(5, 1) > swinglow(5, 2))",
      "basis": "pattern"
    }
  },
  "context": {
    "symbol": "KO",
    "as_of": "2026-10-30"
  },
  "actions": [
    {
      "id": "answer",
      "fired": true,
      "status": "dry_run",
      "do": "slack",
      "connection": "class-channel",
      "preview": {
        "text": "Quiz answer for KO (2026-10-30): above the 200-day 95%, MACD above zero 93%, RSI over 50 90%, higher swing highs and lows 14%. How did your read compare?"
      }
    }
  ]
}

macd rsi sma swinghigh swinglow

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Trading educator / newsletter · example 8

Lesson: ATR, Bollinger Bands and realized volatility on TLT

Explain three ways to measure volatility, with today's answers for a bond fund.

ora-fin-0.1.1TLT5 questions

StateTLT
Questions5 asked
Answersreal, captured
Actionsnone

State

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

Questions

`atr`	English → rule	Is the 14-day ATR less than 2% of the price?
`bb`	English → rule	Is Bollinger Band width at its lowest in 120 sessions?
`hv`	English → rule	Is 20-day historical volatility below 20%?
`vol5`	English → rule	Is 5-day volatility higher than 20-day volatility?
`next`	forecast	Will volatility be higher over the next month? Higher volatility next month

Answers

Question	Answer	Reading
`atr` Is the 14-day ATR less than 2% of the price compiled to `atr(14) / C < 0.02`	0.9463	true
`bb` Is Bollinger Band width at its lowest in 120 sessions compiled to `((bbupper(C, 20) - bblower(C, 20)) / bbmid(C, 20)) <= ref(min(((bbupper(C, 20) - bblower(C, 20)) / bbmid(C, 20)), 119), -1)`	0.055	false
`hv` Is 20-day historical volatility below 20% compiled to `std(log(C / C[-1]), 20) * sqrt(20 / 19) * sqrt(252) < 0.2`	0.9463	true
`vol5` Is 5-day volatility higher than 20-day volatility compiled to `std(log(C / C[-1]), 5) * sqrt(5 / 4) > std(log(C / C[-1]), 20) * sqrt(20 / 19)`	0.2703	false
`next` Higher volatility next month	0.583	58% · close to even

What it means

For TLT on the session of 2026-10-30: True now: Is the 14-day ATR less than 2% of the price; Is 20-day historical volatility below 20%. Not true: Is Bollinger Band width at its lowest in 120 sessions; Is 5-day volatility higher than 20-day volatility. Forecasts: Higher volatility next month 58%.

Three measures usually agree on calm or wild; when they disagree, the lesson asks students why.

Request JSON

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "TLT"
  },
  "questions": {
    "atr": {
      "type": "yes_no",
      "instructions": "Is the 14-day ATR less than 2% of the price?"
    },
    "bb": {
      "type": "yes_no",
      "instructions": "Is Bollinger Band width at its lowest in 120 sessions?"
    },
    "hv": {
      "type": "yes_no",
      "instructions": "Is 20-day historical volatility below 20%?"
    },
    "vol5": {
      "type": "yes_no",
      "instructions": "Is 5-day volatility higher than 20-day volatility?"
    },
    "next": {
      "type": "yes_no",
      "instructions": "Will volatility be higher over the next month?"
    }
  }
}

Response JSON (TLT, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "atr": {
      "yes_no": 0.9463,
      "rule": "atr(14) / C < 0.02",
      "basis": "pattern"
    },
    "bb": {
      "yes_no": 0.055,
      "rule": "((bbupper(C, 20) - bblower(C, 20)) / bbmid(C, 20)) <= ref(min(((bbupper(C, 20) - bblower(C, 20)) / bbmid(C, 20)), 119), -1)",
      "basis": "pattern"
    },
    "hv": {
      "yes_no": 0.9463,
      "rule": "std(log(C / C[-1]), 20) * sqrt(20 / 19) * sqrt(252) < 0.2",
      "basis": "pattern"
    },
    "vol5": {
      "yes_no": 0.2703,
      "rule": "std(log(C / C[-1]), 5) * sqrt(5 / 4) > std(log(C / C[-1]), 20) * sqrt(20 / 19)",
      "basis": "pattern"
    },
    "next": {
      "yes_no": 0.583
    }
  },
  "context": {
    "symbol": "TLT",
    "as_of": "2026-10-30"
  }
}

atr bblower bbmid bbupper log min offset ref sqrt std

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Trading educator / newsletter · example 9

Lesson: swing highs, swing lows and trend structure on CVX

Teach market structure with confirmed pivots: higher highs, higher lows, and the second-to-last swing with k.

ora-fin-0.1.1CVX5 questions

StateCVX
Questions5 asked
Answersreal, captured
Actionsnone

State

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

Questions

`hh`	rule	`swinghigh(5, 1) > swinghigh(5, 2)` latest 5-bar swing high above the one before
`hl`	rule	`swinglow(5, 1) > swinglow(5, 2)` latest 5-bar swing low above the one before
`above`	English → rule	Did the stock close above its last swing high today?
`near_sup`	English → rule	Is the stock within 2% above its last swing low (support)?
`lower`	English → rule	Is the stock making lower swing highs and lower swing lows?

Answers

Question	Answer	Reading
`hh` latest 5-bar swing high above the one before	0.9252	true
`hl` latest 5-bar swing low above the one before	0.5739	on the line (true)
`above` Did the stock close above its last swing high today compiled to `(C > swinghigh(5, 1)) and (C[-1] <= ref(swinghigh(5, 1), -1))`	0.083	false
`near_sup` Is the stock within 2% above its last swing low (support) compiled to `(C >= swinglow(5, 1)) and (C <= swinglow(5, 1) * 1.02)`	0.0537	false
`lower` 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))`	0.0748	false

What it means

For CVX on the session of 2026-10-30: True now: latest 5-bar swing high above the one before. Not true: Did the stock close above its last swing high today; Is the stock within 2% above its last swing low (support); Is the stock making lower swing highs and lower swing lows. On the line: latest 5-bar swing low above the one before.

Pivots are confirmed five bars later, which teaches students why structure always lags price a little.

Request JSON

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "CVX"
  },
  "questions": {
    "hh": {
      "type": "yes_no",
      "ask": "swinghigh(5, 1) > swinghigh(5, 2)"
    },
    "hl": {
      "type": "yes_no",
      "ask": "swinglow(5, 1) > swinglow(5, 2)"
    },
    "above": {
      "type": "yes_no",
      "instructions": "Did the stock close above its last swing high today?"
    },
    "near_sup": {
      "type": "yes_no",
      "instructions": "Is the stock within 2% above its last swing low (support)?"
    },
    "lower": {
      "type": "yes_no",
      "instructions": "Is the stock making lower swing highs and lower swing lows?"
    }
  }
}

Response JSON (CVX, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "hh": {
      "yes_no": 0.9252,
      "rule": "swinghigh(5, 1) > swinghigh(5, 2)",
      "basis": "rule"
    },
    "hl": {
      "yes_no": 0.5739,
      "rule": "swinglow(5, 1) > swinglow(5, 2)",
      "basis": "rule"
    },
    "above": {
      "yes_no": 0.083,
      "rule": "(C > swinghigh(5, 1)) and (C[-1] <= ref(swinghigh(5, 1), -1))",
      "basis": "pattern"
    },
    "near_sup": {
      "yes_no": 0.0537,
      "rule": "(C >= swinglow(5, 1)) and (C <= swinglow(5, 1) * 1.02)",
      "basis": "pattern"
    },
    "lower": {
      "yes_no": 0.0748,
      "rule": "(swinghigh(5, 1) < swinghigh(5, 2)) and (swinglow(5, 1) < swinglow(5, 2))",
      "basis": "pattern"
    }
  },
  "context": {
    "symbol": "CVX",
    "as_of": "2026-10-30"
  }
}

offset ref swinghigh swinglow

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Trading educator / newsletter · example 10

Lesson: real breakout or fakeout? XLE today

Compare a price breakout with its volume confirmation and the one-week forecast.

ora-fin-0.1.1XLE4 questions2 actions

StateXLE
Questions4 asked
Answersreal, captured
Actions2 rules · dry run

State

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

Questions

`price`	rule	`C > highest(C, 20)` 20-day closing breakout
`volume`	rule	`V > 2 * ref(avg(V, 20), -1)` Volume more than twice the previous 20-day average
`failed`	rule	`L < lowest(L, 20) and C > lowest(L, 20)` Undercut the 20-day low and closed back above it
`high_next`	forecast	Will it make a new 20-day high in the next week? A new 20-day high next week

Answers

Question	Answer	Reading
`price` 20-day closing breakout	0.6462	true
`volume` Volume more than twice the previous 20-day average	0.0537	false
`failed` Undercut the 20-day low and closed back above it	0.0537	false
`high_next` A new 20-day high next week	0.865	87% · likely

Actions

Rules on the answers decide what to send.

price >= 0.6 and volume >= 0.6→Slackclass-channel

price >= 0.6→Slackclass-channel

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

realrule false: skipped

fakewould send (dry run)Slack → class-channel

{
  "text": "XLE (2026-10-30): price broke out without volume (5%). Discuss: is this a fakeout?"
}

What it means

For XLE on the session of 2026-10-30: True now: 20-day closing breakout. Not true: Volume more than twice the previous 20-day average; Undercut the 20-day low and closed back above it. Forecasts: A new 20-day high next week 87%. Fired: fake (Slack → class-channel).

A breakout with volume is the textbook case; price without volume is the fakeout students learn to be careful with.

Request JSON

{
  "model": "ora-fin-0.1.1",
  "state": {
    "symbol": "XLE"
  },
  "questions": {
    "price": {
      "type": "yes_no",
      "ask": "C > highest(C, 20)"
    },
    "volume": {
      "type": "yes_no",
      "ask": "V > 2 * ref(avg(V, 20), -1)"
    },
    "failed": {
      "type": "yes_no",
      "ask": "L < lowest(L, 20) and C > lowest(L, 20)"
    },
    "high_next": {
      "type": "yes_no",
      "instructions": "Will it make a new 20-day high in the next week?"
    }
  },
  "actions": [
    {
      "id": "real",
      "when": "price >= 0.6 and volume >= 0.6",
      "do": "slack",
      "connection": "class-channel",
      "message": "{{symbol}} ({{as_of}}): textbook breakout, price and volume agree. New 20-day high next week {{high_next|pct}}."
    },
    {
      "id": "fake",
      "when": "price >= 0.6",
      "do": "slack",
      "connection": "class-channel",
      "message": "{{symbol}} ({{as_of}}): price broke out without volume ({{volume|pct}}). Discuss: is this a fakeout?"
    }
  ],
  "dry_run": true
}

Response JSON (XLE, real)

{
  "model": "ora-fin-0.1.1",
  "answers": {
    "price": {
      "yes_no": 0.6462,
      "rule": "C > highest(C, 20)",
      "basis": "rule"
    },
    "volume": {
      "yes_no": 0.0537,
      "rule": "V > 2 * ref(avg(V, 20), -1)",
      "basis": "rule"
    },
    "failed": {
      "yes_no": 0.0537,
      "rule": "L < lowest(L, 20) and C > lowest(L, 20)",
      "basis": "rule"
    },
    "high_next": {
      "yes_no": 0.865
    }
  },
  "context": {
    "symbol": "XLE",
    "as_of": "2026-10-30"
  },
  "actions": [
    {
      "id": "real",
      "fired": false,
      "status": "skipped"
    },
    {
      "id": "fake",
      "fired": true,
      "status": "dry_run",
      "do": "slack",
      "connection": "class-channel",
      "preview": {
        "text": "XLE (2026-10-30): price broke out without volume (5%). Discuss: is this a fakeout?"
      }
    }
  ]
}

avg highest lowest ref

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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, Algo / bot developer, Data vendor / platform.

Create an account Open the Playground Everything here also lives in the console, next to your keys and usage.

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Lesson: what 'above the 200-day' really means, live on SPY

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Lesson: RSI overbought and oversold, with live examples on AAPL and TSLA

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Weekly newsletter: three setups with the rule behind every claim

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Lesson: bullish reversal candles, checked on IWM today

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Lesson: bearish reversal candles on QQQ

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Lesson: facts versus forecasts, using NVDA's earnings

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Quiz of the day: is KO in an uptrend? Post the answer to the class Slack

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Lesson: ATR, Bollinger Bands and realized volatility on TLT

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Lesson: swing highs, swing lows and trend structure on CVX

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Lesson: real breakout or fakeout? XLE today

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