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Technical Briefing

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Single-name technical briefing — composite trend regime, RSI momentum, MACD cross, key MAs (20/50/200), Bollinger position, ATR as % of price, ADV-bucketed liquidity context — in a sell-side-quality block. Use when the user asks "what does the chart say on NVDA right now?" or "give me a technical read on TSLA." Doesn't predict direction; reads textbook indicators and labels the regime. Requires Stocks Starter.

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  • Added September 6, 2026
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npx -y skills add rgourley/quant-garage --skill technical-briefing --agent claude-code

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SKILL.md
---
name: technical-briefing
description: Single-name technical briefing — composite trend regime, RSI momentum, MACD cross, key MAs (20/50/200), Bollinger position, ATR as % of price, ADV-bucketed liquidity context — in a sell-side-quality block. Use when the user asks "what does the chart say on NVDA right now?" or "give me a technical read on TSLA." Doesn't predict direction; reads textbook indicators and labels the regime. Requires Stocks Starter.
---

# technical-briefing

One ticker in, one analyst-grade technical read out. The most-asked
first question on a single name — "what does the chart look like
right now?" — answered with the standard indicator suite (Wilder
RSI 14, MACD 12/26/9, Bollinger 20/2σ, ATR 14, SMAs 20/50/200) and
a composite trend-regime label that combines them honestly.

This is NOT a prediction. The script reads textbook indicators on the
last 252 trading days, labels the trend regime (`bullish_strong`,
`bullish_weak`, `bearish_strong`, `bearish_weak`, `neutral`) with
explicit reasons, and writes a Take from the actual readings. No
hidden alpha, no proprietary model.

## When to invoke

- Active trader asking "what's the technical setup on NVDA?"
- Junior analyst building the technicals slide of a single-name brief
- PM sanity-checking a chart-driven entry against the indicator stack
- Anyone who'd otherwise eyeball a TradingView chart for 30 seconds

## What you need

- One US ticker
- `MASSIVE_API_KEY` exported

Optional:

- `--lookback-days` (default 252; minimum 60)

## What you get back

Two output layers from one run.

**Layer 1: canonical JSON** matching [`output-schema.json`](./output-schema.json).
Trend regime + reasons, RSI latest + 5-day average + bucket read,
MACD line/signal/histogram + cross status, every MA value + price-vs-
MA percent, Bollinger upper/mid/lower + position label + band-width
percentile, ATR + ATR/price percent, 30-day ADV + bucket + current
spread bps when available.

**Layer 2: rendered briefing block.** Sell-side morning-note voice.
Header (ticker + as-of + price + liquidity), trend regime section,
momentum section, MACD section, Bollinger section, volatility section,
the Take, and the caveats. The Take is computed adaptively from the
actual readings — never a hardcoded narrative.

## How it works

1. **Pull daily aggs** for the lookback window via
   `/v2/aggs/ticker/{T}/range/1/day/{from}/{to}?adjusted=true`.
   Overshoots calendar days by 1.6x to cover weekends/holidays, then
   trims to the last `lookback_days` sessions.
2. **Pull a snapshot** via
   `/v2/snapshot/locale/us/markets/stocks/tickers/{T}` for current
   bid/ask/spread. Failure here is non-fatal — spread is optional.
3. **Compute indicators** with the shared `lib.quant_garage.technicals`
   helpers. No reimplementation: `sma`, `ema`, `rsi`, `macd`,
   `bollinger`, `atr` all come from one place so a methodology change
   in one helper updates every skill that reads them.
4. **Classify the trend regime** as a composite read of stacked-MA
   structure, MACD sign, and RSI bucket. See
   [`references/trend-regime.md`](./references/trend-regime.md).
5. **Classify momentum** from the RSI bucket (oversold / weak /
   neutral / firm / overbought).
6. **Classify Bollinger position** by the price's percentile within
   the band (above_upper, near_upper, mid_range, near_lower,
   below_lower).
7. **Bucket liquidity** by 30-day average dollar volume (thin <$1M,
   medium <$50M, liquid <$500M, mega ≥$500M).
8. **Build the Take adaptively.** A small `(regime, momentum)` map
   provides the closing sentence; the rest reads the actual numbers.
   See [`references/rendering.md`](./references/rendering.md).

## Foundations used

- [`massive-api-patterns`](../massive-api-patterns) for REST auth and
  the snapshot-resolution conventions.

## Output mode: note

A sell-side morning-note block is the right canvas for "tell me what
the chart says on this name." Section headers, indicator values, a
two-sentence read per indicator, the Take. No table — one ticker
doesn't warrant rows.

## Endpoints used

- `GET /v2/aggs/ticker/{ticker}/range/1/day/{from}/{to}?adjusted=true`
  Daily aggregates over the lookback window. One call per run.
- `GET /v2/snapshot/locale/us/markets/stocks/tickers/{ticker}`
  Current bid/ask for the spread read. One call per run. Optional.

Verify endpoint paths against current docs at massive.com/docs before
shipping; field names and versions shift.

## Doesn't handle (yet)

- **Intraday timeframes.** Daily bars only. A 5m / 15m / 1h variant
  would slot in cleanly: same indicator code, swap the aggregate
  resolution.
- **Multi-timeframe alignment.** The trend regime is a single-
  timeframe read. A higher-timeframe overlay (weekly trend + daily
  momentum) is the natural v2.
- **Event-aware vol.** ATR is backward-looking. It does not anticipate
  earnings prints, FDA decisions, or macro releases. Flagged in
  `tier_caveats`; pair with `earnings-drilldown` for catalyst-aware
  vol.
- **Pattern detection.** No flags / triangles / heads-and-shoulders.
  Standard indicator-only read. Pattern recognition is a separate
  problem; the methodology references explain why we don't pretend
  otherwise.

These are clean PR extensions. The output schema reserves space for
each so adding them later doesn't break consumers.

Files in this skill

  • README.md3 KB
  • SKILL.md5.2 KB
  • output-schema.json6.2 KB
  • references/indicators.md5.9 KB
  • references/rendering.md6.6 KB
  • references/trend-regime.md4.7 KB
  • requires.yml2.2 KB

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