diff --git a/.env.example b/.env.example new file mode 100644 index 0000000..08de824 --- /dev/null +++ b/.env.example @@ -0,0 +1,26 @@ +# Copy to .env.local and fill in. .env.local is gitignored and never sent to the browser. + +# --- Analysis agent transport --- +# "claude-cli" (default): runs the local Claude Code CLI in headless mode on your +# existing Claude auth (e.g. subscription). No API key needed; near-zero marginal +# cost for internal use. Requires `claude` to be installed and authenticated. +# "api": uses the Anthropic API via @anthropic-ai/sdk (metered). Use this if the +# app will serve external users. +AGENT_TRANSPORT=claude-cli + +# Anthropic API key — only used when AGENT_TRANSPORT=api. Server-side only. +ANTHROPIC_API_KEY= + +# --- Market data --- +# Which market-data provider to use: "fixture" (offline demo data) or "fmp". +# Defaults to "fixture" when unset so the app runs with zero configuration. +MARKET_DATA_PROVIDER=fixture + +# Market-data provider API key (default provider: Financial Modeling Prep free tier). +# Get a free key at https://site.financialmodelingprep.com/developer/docs +MARKET_DATA_API_KEY= + +# --- Cost controls --- +# Optional monthly spend budget in USD for the cost guard. 0 or unset = disabled. +# (With the claude-cli transport on a subscription, reported marginal cost is ~$0.) +MONTHLY_BUDGET_USD=0 diff --git a/.eslintrc.json b/.eslintrc.json new file mode 100644 index 0000000..bffb357 --- /dev/null +++ b/.eslintrc.json @@ -0,0 +1,3 @@ +{ + "extends": "next/core-web-vitals" +} diff --git a/.gitignore b/.gitignore index b44585e..84c718b 100644 --- a/.gitignore +++ b/.gitignore @@ -33,6 +33,10 @@ yarn-error.log* next-env.d.ts .vercel +# Local runtime data (cost/spend store) and logs +.equitysearch/ +*.log + # Editor .idea/ .vscode/* diff --git a/README.md b/README.md new file mode 100644 index 0000000..6f1d4dc --- /dev/null +++ b/README.md @@ -0,0 +1,96 @@ +# equitysearch + +Thorough, agent-written evaluation of individual NYSE / Nasdaq equities: +valuation and over/undervalued reasoning, macro factors, entry/exit points, and +stop-loss levels — grounded in structured fundamentals plus live web search. + +Built spec-first with [OpenSpec](https://github.com/Fission-AI/OpenSpec); the +change that produced v1 lives in `openspec/changes/stock-deep-evaluation/`. + +## ▶ Pick up here next time — live agent test + +v1 is fully built and verified except for **one thing left to do live**: exercise +the real Claude Code CLI agent writing the thesis with web grounding. Everything +else (data → evaluation → API → structured report → charts → cost/budget) is +tested and confirmed end-to-end; the analysis *narrative* has only been checked +with a stubbed agent. + +**To resume:** +1. Ensure the `claude` CLI is authenticated (`claude` → log in). +2. `npm run dev`, open http://localhost:3000, search **DE**. +3. Confirm the written thesis renders (Thesis / Valuation / Macro / Timing / + Entry-exit-stop / Bull-vs-bear / Plan sections) and that **Sources** are cited. +4. Toggle **Deep dive** to run Fable 5 and compare depth. +5. If the narrative needs shaping, tune the prompt in + `src/lib/agent/agent.ts` (`systemInstructions` / `userPrompt`). + +The OpenSpec change `stock-deep-evaluation` is complete but **not yet archived** — +archive it (`openspec archive stock-deep-evaluation`) once the live test looks good. + +## Quick start + +```bash +npm install +cp .env.example .env.local # optional — the app runs with zero config +npm run dev # http://localhost:3000 +``` + +Search a ticker (try **DE**). With no configuration the app uses an offline +fixture provider (DE + SPY) and the Claude Code CLI agent. + +## How it works + +``` +ticker → resolve → market data → evaluation engine (pure) → budget guard → analysis agent → report +``` + +- **Market data** (`src/lib/market-data`) — a provider-agnostic `DataProvider` + interface. Default is an offline **fixture** (DE seeded from the reference + example); set `MARKET_DATA_PROVIDER=fmp` + `MARKET_DATA_API_KEY` for real + Financial Modeling Prep data. +- **Evaluation engine** (`src/lib/evaluation`) — a pure function that computes the + quantitative sections (standing, earnings recap, quality-of-earnings flags, + segments, valuation, entry/exit/stop levels, bull/bear, plan). Instrument-aware: + v1 runs the **equity** branch; ETFs resolve but return "not yet supported". +- **Analysis agent** (`src/lib/agent`) — turns the structured evaluation into the + written thesis, grounded with live web search. +- **Cost controls** (`src/lib/cost`) — captures per-report usage/cost and enforces + a monthly budget (soft warning, hard cap, deep-dive pre-emption). + +## Configuration (`.env.local`) + +| Var | Default | Purpose | +|---|---|---| +| `AGENT_TRANSPORT` | `claude-cli` | `claude-cli` (runs the local Claude Code CLI on your subscription — no API key, ~$0 marginal) or `api` (metered Anthropic API for serving external users) | +| `ANTHROPIC_API_KEY` | — | Only for `AGENT_TRANSPORT=api`. Server-side only | +| `MARKET_DATA_PROVIDER` | `fixture` | `fixture` (offline DE/SPY) or `fmp` | +| `MARKET_DATA_API_KEY` | — | FMP free-tier key | +| `MONTHLY_BUDGET_USD` | `0` | Monthly spend cap; `0` disables the guard | + +**Agent transports.** The default runs `claude -p --output-format json --model +opus|fable --allowedTools "WebSearch WebFetch"` on your existing Claude auth, so an +internal tool incurs near-zero marginal cost and web grounding is built in. Deep +dive escalates the model to Fable 5. Requires the `claude` CLI installed and +authenticated. Switch to `api` if the app is ever served to external users +(subscription-backed serving is not appropriate then). + +## Scripts + +```bash +npm run dev # dev server +npm run build # production build +npm run start # run the production build +npm run typecheck # tsc --noEmit +npm test # vitest (31 tests) +``` + +## Not investment advice + +Every report ends with a disclaimer. This is analysis, not investment advice. + +## Roadmap (deferred changes, compose on v1) + +- **ETF evaluation branch** — holdings, expense ratio, NAV premium/discount, + weighted fundamentals (the seams are already in place). +- **Screening / candidate-finder** — criteria → grounded ranked shortlist that + feeds this evaluator. diff --git a/next.config.mjs b/next.config.mjs new file mode 100644 index 0000000..d5456a1 --- /dev/null +++ b/next.config.mjs @@ -0,0 +1,6 @@ +/** @type {import('next').NextConfig} */ +const nextConfig = { + reactStrictMode: true, +}; + +export default nextConfig; diff --git a/openspec/changes/stock-deep-evaluation/design.md b/openspec/changes/stock-deep-evaluation/design.md index fd6da61..e383e7c 100644 --- a/openspec/changes/stock-deep-evaluation/design.md +++ b/openspec/changes/stock-deep-evaluation/design.md @@ -55,14 +55,43 @@ stop levels, implied multiples at each level, and valuation reasoning are comput here. Rationale: the spec requires the structured object to be consumable without the agent, and pure functions make the many numeric requirements testable. -### D5 — `AnalysisAgent` interface; Claude default via `@anthropic-ai/sdk` -The agent takes the `Evaluation` object and returns narrative sections. Default -impl calls a current Claude model, instructed to use ONLY the supplied figures, -preserve any flagged caveats/discrepancies, and include the disclaimer. Structured -output (tool/JSON schema) is preferred so the UI can render narrative per section. -Alternative: free-text prompt with the raw data — rejected because grounding and -per-section rendering are weaker. When no key is set, the pipeline returns the -`Evaluation` with `narrative: unavailable`. +### D5 — `AnalysisAgent` interface; Claude Code CLI default, API alternate +The agent takes the `Evaluation` object and returns narrative sections. Consumers +depend only on the interface, so the transport is swappable. **Default transport: +the local Claude Code CLI in headless mode** — `claude -p --output-format json`, +running on the operator's existing Claude auth (subscription), so an internal +two-person tool incurs ~no metered cost. **Alternate transport:** the Anthropic API +via `@anthropic-ai/sdk`, selected by config, for when the app is served to external +users (subscription-backed serving is not appropriate then). Default model is +**Opus 4.8** (CLI alias `opus`); a per-request deep-dive flag escalates to +**Fable 5** (CLI alias `fable`) — model is a per-request parameter, not a build-time +constant. Structured narrative is requested via the CLI `--json-schema` option (or +the API alternate's structured-output). The agent is instructed to use the supplied +figures plus attributed web-sourced facts, preserve flagged caveats, and include +the disclaimer. When no agent is available the pipeline returns the `Evaluation` +with `narrative: unavailable`. + +CLI invocation shape (verified against `claude --help`): `claude -p "" +--model --output-format json --json-schema '' +--append-system-prompt "" --allowedTools "WebSearch WebFetch" +--permission-mode dontAsk`. The JSON result carries the structured output plus +`total_cost_usd` and token usage (consumed by cost-controls). API-alternate notes +(from the SDK reference): Opus 4.8 and Fable 5 take `thinking: {type: "adaptive"}`, +reject `budget_tokens`/sampling params; Fable 5 has thinking always-on and can +return `stop_reason: "refusal"` (enable a server-side fallback to Opus 4.8); stream +long outputs. + +### D8 — Live web grounding via the agent's web tools +The agent grounds macro/news facts through its web search + fetch capability — +Claude Code's `WebSearch`/`WebFetch` tools on the default transport, or Anthropic's +server-side web tools on the API alternate — scoped to the ticker, with sources +attributed in the output. Rationale: the reference DE evaluation's credibility came +from live, cited facts (analyst target changes, tariff figures, peer read-throughs, +catalyst dates) that don't exist in model weights or a fundamentals feed — this is +the layer that closes the gap to a search-augmented tool like Perplexity. A bonus of +the CLI default: this grounding harness is built in, so there is nothing to wire up. +Grounding degrades gracefully: on tool error the agent still writes from the +structured evaluation and notes that live grounding was unavailable. ### D6 — Typed results end-to-end; errors are values Data, evaluation, and agent layers return typed results/errors (not thrown @@ -76,6 +105,44 @@ provider layer, with retry/backoff for transient/rate-limit errors. Rationale: free tiers are tightly limited; caching one evaluation's repeated reads avoids burning quota. Persistence-backed cache is a later change. +### D9 — Cost controls: capture real usage, price from a table, guard the budget +Every agent call's `usage` (input/output/cache tokens) and web-search count are +captured from the API response — never estimated — and priced via a configurable +table (per-model token prices + per-search price) so provider price changes are +config, not code. Month-to-date spend is kept in lightweight local storage (a JSON +file/`localStorage`-class store, not a database — consistent with the no-persistence +scope) and checked before each evaluation against a configurable monthly budget: +soft threshold warns, cap blocks. The pipeline evaluates the guard *before* +dispatching the agent (and pre-empts a deep-dive whose projected cost exceeds the +remaining budget), so a runaway loop can't blow the cap. Rationale: cost is the one +resource a user can't see mid-run; real per-report numbers replace the design-time +estimate and let the user tune the Opus/Fable mix. Alternative: rely on +Anthropic-console billing after the fact — rejected because it's not in-app, not +per-ticker, and offers no pre-emptive block. + +### D10 — Instrument-type-aware from the start; equity branch only in v1 +The resolved profile and the `Evaluation` object carry an `instrumentType` +discriminant (`equity` | `etf`). Instrument-agnostic sections (current standing, +technicals, timing, entry/exit, stop-loss, macro) are shared; the +fundamentals/valuation sections live under a per-type branch. v1 implements only +the equity branch and returns an unsupported-type result for anything else. +Rationale: an ETF is ~half the same (all technicals/timing) and ~half different +(no EPS/earnings/segments; instead holdings, expense ratio, NAV premium/discount, +weighted fundamentals). Baking the discriminant and branch seam in now is nearly +free and avoids a refactor when the ETF branch is added as a fast-follow change. +Alternative: equities-only with no seam — rejected as false economy given ETFs are +an explicit near-term goal. + +### Roadmap (deferred, compose on this change) +- **ETF evaluation branch** — fills the `etf` branch (holdings, expense ratio, NAV + premium/discount, sector/geo weights, weighted fundamentals) and an ETF agent + prompt variant; reuses everything instrument-agnostic here. +- **Screening / candidate-finder** — a `screening` capability: criteria/thesis → + grounded, ranked shortlist (fundamental screener filter + web verification) where + each candidate links into this evaluator. Deliberately built *after* the + evaluator exists, so every surfaced idea has a rigorous place to be checked + rather than being trusted as an oracle. + ## Risks / Trade-offs - [Free-tier data is delayed/incomplete — segments, estimates, or history may be diff --git a/openspec/changes/stock-deep-evaluation/proposal.md b/openspec/changes/stock-deep-evaluation/proposal.md index fb041a9..3e242d4 100644 --- a/openspec/changes/stock-deep-evaluation/proposal.md +++ b/openspec/changes/stock-deep-evaluation/proposal.md @@ -24,8 +24,25 @@ stop-loss levels — with a data layer and agent interface designed to grow. - Introduce a **pluggable analysis-agent layer** backed by **Claude via the Anthropic SDK** (bring-your-own API key) that synthesizes the structured data into a written investment thesis and the reasoning behind each recommendation. -- Scope v1 to **single-ticker deep evaluation**. Watchlist monitoring, alerts, - and multi-ticker dashboards are explicitly deferred to later changes. + The default model is **Claude Opus 4.8**, with a per-ticker "deep dive" option + that escalates to **Claude Fable 5** for the hardest analyses. +- Give the agent **live web grounding** (Anthropic's server-side web search and + web fetch) so macro/news facts the structured data layer lacks — tariff and rate + developments, analyst rating/target changes, management commentary, peer + read-throughs, dated catalysts — are sourced and attributed, matching the depth + of the reference evaluation. +- Introduce **cost controls**: capture per-report token/search usage, compute its + cost from a configurable price table, track month-to-date spend, and enforce a + configurable monthly budget (warn on a soft threshold, block on the cap) so the + agent — especially the Fable 5 deep dive — can't run up a surprise bill. +- Make the data models and evaluation engine **instrument-type-aware** (equity vs. + ETF) from the start. v1 builds the **equity** branch only; the ETF branch + (holdings, expense ratio, NAV premium/discount, weighted fundamentals) is a + fast-follow change that slots into the existing seams without a refactor. +- Scope v1 to **single-ticker deep evaluation** of individual equities. Deferred to + later changes: the ETF evaluation branch, a **screening / candidate-finder** mode + (criteria → grounded shortlist that feeds this evaluator), watchlist monitoring, + alerts, and multi-ticker dashboards. ## Capabilities @@ -49,6 +66,10 @@ stop-loss levels — with a data layer and agent interface designed to grow. request orchestration (data → evaluation → agent), and the report view that presents fundamentals, valuation reasoning, macro factors, a price chart with marked entry/exit/stop-loss levels, and the agent's written thesis. +- `cost-controls`: Per-report usage capture and cost computation from a + configurable price table, running spend aggregation, and a configurable monthly + budget guard (soft-threshold warning, hard-cap block) with the numbers surfaced + in the UI. ### Modified Capabilities diff --git a/openspec/changes/stock-deep-evaluation/specs/analysis-agent/spec.md b/openspec/changes/stock-deep-evaluation/specs/analysis-agent/spec.md index 9710ba6..fa03b45 100644 --- a/openspec/changes/stock-deep-evaluation/specs/analysis-agent/spec.md +++ b/openspec/changes/stock-deep-evaluation/specs/analysis-agent/spec.md @@ -15,33 +15,74 @@ evaluation engine or UI. - **WHEN** a different agent implementation is configured - **THEN** the system uses it without changes to evaluation or UI code -### Requirement: Claude default implementation via Anthropic SDK +### Requirement: Default agent via Claude Code CLI; API as swappable alternate -The system SHALL ship a default `AnalysisAgent` backed by Claude through the -`@anthropic-ai/sdk`, targeting a current Claude model. The API key SHALL be -supplied by the user (bring-your-own-key) via configuration and never hard-coded -or committed. +The system SHALL ship a default `AnalysisAgent` that invokes the local **Claude +Code CLI** in headless mode (`claude -p --output-format json`), which runs on the +operator's existing Claude authentication (e.g. subscription) rather than a metered +API key. The system SHALL also ship an alternate implementation backed by the +Anthropic API (`@anthropic-ai/sdk`), selectable via configuration without changes +in consumers. Either way, the default model SHALL be **Claude Opus 4.8** (CLI alias +`opus`) and a per-request "deep dive" option SHALL escalate to **Claude Fable 5** +(CLI alias `fable`); the model SHALL be selectable per evaluation. Structured +narrative output SHALL be requested via the CLI `--json-schema` option (or the +equivalent structured-output mechanism on the API alternate). Any API key used by +the alternate SHALL be loaded from configuration and never hard-coded or committed. -#### Scenario: Claude produces the written thesis -- **WHEN** a valid Anthropic API key is configured and an evaluation is submitted -- **THEN** the default agent calls Claude and returns the written thesis +#### Scenario: Claude Code CLI produces the written thesis +- **WHEN** the CLI agent is configured and an evaluation is submitted +- **THEN** the system runs `claude -p` with model alias `opus` and returns the + written thesis parsed from the CLI JSON output -#### Scenario: Key sourced from configuration -- **WHEN** the app reads its configuration +#### Scenario: Deep-dive escalates to Fable 5 +- **WHEN** an evaluation is requested with the deep-dive option enabled +- **THEN** the agent runs the CLI with model alias `fable` for that request +- **AND** requests without the option continue to use `opus` + +#### Scenario: API alternate selected via configuration +- **WHEN** the agent transport is configured to the API alternate with a valid key +- **THEN** evaluations are served through `@anthropic-ai/sdk` instead of the CLI +- **AND** no changes to evaluation or UI code are required + +#### Scenario: Secrets sourced from configuration +- **WHEN** the API alternate reads its configuration - **THEN** the Anthropic API key is loaded from environment/config, not source code +### Requirement: Live web grounding + +The agent SHALL be able to retrieve current information via its web search and +web fetch capability — the Claude Code CLI's `WebSearch`/`WebFetch` tools for the +default transport, or Anthropic's server-side web tools for the API alternate — to +source macro and news-driven facts the structured data layer does not provide: +tariff/rate developments, analyst rating and price-target changes, management +commentary, peer read-throughs, and dated catalysts. Facts drawn from the web SHALL +carry their source so the output can attribute them, and grounding SHALL be scoped +to the ticker under evaluation. + +#### Scenario: Web-sourced facts are attributed +- **WHEN** the agent uses a web-sourced fact in the analysis (e.g. an analyst + target change or a catalyst date) +- **THEN** the output attributes that fact to its source + +#### Scenario: Grounding degrades gracefully +- **WHEN** web search or fetch is unavailable or returns an error +- **THEN** the agent still produces the analysis from the structured evaluation +- **AND** notes that live macro/news grounding was unavailable + ### Requirement: Grounded, structured written analysis -The agent SHALL base its narrative only on the supplied evaluation data and -SHALL NOT invent figures. It SHALL produce the narrative sections reflected in the -example evaluation: current standing, earnings recap and quality-of-earnings -caveats, valuation with explicit over/undervalued reasoning, macro factors, timing, -entry/exit/stop-loss rationale, bull-versus-bear, and an actionable plan. When a -data caveat or discrepancy is present in the input, the agent SHALL preserve it. +The agent SHALL base its narrative on the supplied evaluation data plus attributed +web-sourced facts, and SHALL NOT invent figures. It SHALL produce the narrative +sections reflected in the example evaluation: current standing, earnings recap and +quality-of-earnings caveats, valuation with explicit over/undervalued reasoning, +macro factors, timing, entry/exit/stop-loss rationale, bull-versus-bear, and an +actionable plan. When a data caveat or discrepancy is present in the input, the +agent SHALL preserve it. #### Scenario: Narrative grounded in provided data - **WHEN** the agent writes the analysis -- **THEN** every figure it cites is present in the supplied evaluation object +- **THEN** every figure it cites is either present in the supplied evaluation + object or attributed to a web source it retrieved #### Scenario: Data caveats preserved - **WHEN** the evaluation object flags a discrepancy or one-time item @@ -51,16 +92,18 @@ data caveat or discrepancy is present in the input, the agent SHALL preserve it. - **WHEN** the agent returns its analysis - **THEN** the analysis-not-advice disclaimer is present -### Requirement: Graceful degradation without an API key +### Requirement: Graceful degradation without an available agent -When no analysis-agent key is configured, the system SHALL still return the full -structured evaluation and SHALL clearly indicate that the written narrative is -unavailable until a key is provided. +The system SHALL, when no analysis agent is available (the Claude Code CLI is not +installed or not authenticated, or the configured API alternate has no key), still +return the full structured evaluation and clearly indicate that the written +narrative is unavailable and how to enable it. -#### Scenario: No key configured -- **WHEN** an evaluation is requested and no agent API key is configured +#### Scenario: Agent unavailable +- **WHEN** an evaluation is requested and no agent transport is available - **THEN** the structured evaluation is returned -- **AND** the response indicates the written analysis is unavailable pending a key +- **AND** the response indicates the written analysis is unavailable and how to + enable it (authenticate the CLI, or configure an API key) ### Requirement: Agent error handling diff --git a/openspec/changes/stock-deep-evaluation/specs/cost-controls/spec.md b/openspec/changes/stock-deep-evaluation/specs/cost-controls/spec.md new file mode 100644 index 0000000..e66472a --- /dev/null +++ b/openspec/changes/stock-deep-evaluation/specs/cost-controls/spec.md @@ -0,0 +1,93 @@ +## ADDED Requirements + +### Requirement: Per-report usage capture + +The system SHALL capture the actual usage of every evaluation that calls the +analysis agent from the agent's own reported usage — the Claude Code CLI JSON +output (`total_cost_usd` plus token usage) for the default transport, or the API +response usage for the alternate — not from estimates. Captured fields SHALL +include, where the transport reports them, token counts, model used, and a reported +cost. When the transport runs on a subscription rather than metered billing, the +reported marginal cost MAY be zero or near-zero; the system SHALL record what the +transport reports. + +#### Scenario: Usage recorded for a completed report +- **WHEN** an evaluation completes an agent call +- **THEN** the system records the report's token counts, web-search count, model, + ticker, and timestamp + +#### Scenario: Usage captured on partial results +- **WHEN** an agent call fails after consuming tokens (e.g. a mid-stream error) +- **THEN** the usage consumed up to that point is still recorded + +### Requirement: Cost computation from a configurable price table + +The system SHALL compute each report's cost from captured usage and a configurable +price table (per-model input/output/cache token prices and per-search price). +Prices SHALL be editable via configuration so provider price changes require no +code changes. + +#### Scenario: Report cost computed +- **WHEN** a report's usage is captured +- **THEN** the system computes its cost using the configured price table and stores + the cost alongside the usage + +#### Scenario: Unknown model priced safely +- **WHEN** a report uses a model absent from the price table +- **THEN** the system flags the cost as unpriced rather than recording zero + +### Requirement: Spend aggregation + +The system SHALL maintain a running month-to-date total spend and SHALL expose +per-report cost history. The spend record MAY use lightweight local storage; a +full database is out of scope for this change. + +#### Scenario: Month-to-date total available +- **WHEN** a new report's cost is recorded +- **THEN** the month-to-date total reflects the new report +- **AND** the per-report history includes the new entry + +#### Scenario: Month boundary resets the running total +- **WHEN** the calendar month changes +- **THEN** the month-to-date total starts from zero for the new month +- **AND** prior months' totals remain available in history + +### Requirement: Monthly budget guard + +The system SHALL enforce a configurable monthly budget. When month-to-date spend +crosses a configurable soft threshold (default 80% of budget) the system SHALL warn +but still allow evaluations. When spend reaches the budget cap the system SHALL +block new evaluations and return a clear message rather than silently proceeding. +A disabled/zero budget SHALL mean no enforcement. + +#### Scenario: Soft-threshold warning +- **WHEN** month-to-date spend crosses the soft threshold but is below the cap +- **THEN** the system allows the evaluation and surfaces a budget warning with the + current spend and remaining budget + +#### Scenario: Hard-cap block +- **WHEN** month-to-date spend has reached the configured cap +- **THEN** the system blocks new evaluations and returns a message stating the cap + was reached and how to raise or disable it + +#### Scenario: Deep-dive gated at the cap +- **WHEN** a deep-dive (Fable 5) evaluation is requested and the projected cost + would exceed the remaining budget +- **THEN** the system blocks it and explains the remaining budget + +#### Scenario: Guard disabled +- **WHEN** the monthly budget is set to zero or disabled +- **THEN** evaluations proceed without budget enforcement + +### Requirement: Cost visibility in the UI + +The system SHALL display each report's cost in the report view and SHALL surface +month-to-date spend against the configured budget in the app. + +#### Scenario: Report cost shown +- **WHEN** a report renders +- **THEN** its computed cost is shown in the report view + +#### Scenario: Budget status shown +- **WHEN** the app is in use +- **THEN** month-to-date spend and remaining budget are visible diff --git a/openspec/changes/stock-deep-evaluation/specs/equity-evaluation/spec.md b/openspec/changes/stock-deep-evaluation/specs/equity-evaluation/spec.md index bc256c8..facc55b 100644 --- a/openspec/changes/stock-deep-evaluation/specs/equity-evaluation/spec.md +++ b/openspec/changes/stock-deep-evaluation/specs/equity-evaluation/spec.md @@ -187,3 +187,24 @@ SHALL be represented explicitly rather than fabricated. #### Scenario: Missing data is not fabricated - **WHEN** a required input for a section is unavailable - **THEN** that section marks the value unavailable rather than inventing one + +### Requirement: Instrument-type-aware evaluation + +The evaluation SHALL carry the resolved instrument type (`equity` or `etf`) as a +discriminant, and the fundamentals-driven sections (earnings recap, +quality-of-earnings, financial/segment breakdown, valuation, over/undervalued +reasoning) SHALL be modeled as the **equity** branch so an ETF branch (holdings, +expense ratio, NAV premium/discount, weighted fundamentals) can be added later +without changing the shared, instrument-agnostic sections (current standing, +technicals, timing, entry/exit, stop-loss, macro). v1 SHALL implement the equity +branch; requesting an evaluation for a non-equity type SHALL return an +unsupported-type result rather than running the equity branch. + +#### Scenario: Equity evaluated on the equity branch +- **WHEN** an evaluation runs for an `equity` instrument +- **THEN** the equity fundamentals/valuation sections are produced + +#### Scenario: Non-equity type not forced through the equity branch +- **WHEN** an evaluation is requested for an `etf` (or other non-equity) instrument +- **THEN** the system returns an unsupported-type result +- **AND** does not populate equity-only sections with fabricated values diff --git a/openspec/changes/stock-deep-evaluation/specs/market-data/spec.md b/openspec/changes/stock-deep-evaluation/specs/market-data/spec.md index ed286c4..8d5e0fa 100644 --- a/openspec/changes/stock-deep-evaluation/specs/market-data/spec.md +++ b/openspec/changes/stock-deep-evaluation/specs/market-data/spec.md @@ -21,15 +21,25 @@ consumers. ### Requirement: Ticker resolution for NYSE and Nasdaq The system SHALL accept a ticker symbol, validate that it resolves to an -NYSE- or Nasdaq-listed equity, and return a normalized company profile -(name, exchange, sector/industry, currency, shares outstanding). +NYSE- or Nasdaq-listed security, and return a normalized profile that includes an +**instrument type** discriminant (`equity` or `etf`) plus name, exchange, currency, +and — for equities — sector/industry and shares outstanding. v1 fully supports the +`equity` type; ETF-specific data is a later change, but resolution SHALL still +classify ETFs so an unsupported-type path is explicit rather than silently wrong. -#### Scenario: Valid listed ticker resolves -- **WHEN** a user submits a ticker listed on NYSE or Nasdaq (e.g. `DE`) -- **THEN** the system returns a company profile with name, exchange, and sector +#### Scenario: Valid listed equity resolves +- **WHEN** a user submits an equity ticker listed on NYSE or Nasdaq (e.g. `DE`) +- **THEN** the system returns a profile with instrument type `equity`, name, + exchange, and sector + +#### Scenario: ETF is classified, not misread as an equity +- **WHEN** a user submits an ETF ticker (e.g. `SPY`) +- **THEN** the system returns a profile with instrument type `etf` +- **AND** the app reports ETF evaluation as not yet supported rather than running + the equity branch against it #### Scenario: Unknown or unlisted ticker is rejected -- **WHEN** a user submits a symbol that does not resolve to an NYSE/Nasdaq equity +- **WHEN** a user submits a symbol that does not resolve to an NYSE/Nasdaq security - **THEN** the system returns a not-found result with a clear message - **AND** no evaluation is attempted diff --git a/openspec/changes/stock-deep-evaluation/tasks.md b/openspec/changes/stock-deep-evaluation/tasks.md index a225e37..5fc52a9 100644 --- a/openspec/changes/stock-deep-evaluation/tasks.md +++ b/openspec/changes/stock-deep-evaluation/tasks.md @@ -1,73 +1,87 @@ ## 1. Project scaffold -- [ ] 1.1 Initialize Next.js (App Router) + TypeScript project at the repo root -- [ ] 1.2 Add Tailwind CSS and a base layout/theme (light + dark) -- [ ] 1.3 Add a charting library (Recharts or lightweight-charts) and confirm it renders -- [ ] 1.4 Set up `.env.local` handling and `.env.example` for `MARKET_DATA_API_KEY` and `ANTHROPIC_API_KEY`; ensure secrets never reach the client bundle -- [ ] 1.5 Configure lint/format/test tooling (ESLint, Prettier, Vitest/Jest) and a passing sample test -- [ ] 1.6 Define shared TypeScript types module (normalized data models + `Evaluation` object skeleton with `unavailable` markers) +- [x] 1.1 Initialize Next.js (App Router) + TypeScript project at the repo root +- [x] 1.2 Add Tailwind CSS and a base layout/theme (light + dark) +- [x] 1.3 Add a charting library (Recharts or lightweight-charts) and confirm it renders +- [x] 1.4 Set up `.env.local` handling and `.env.example` for `MARKET_DATA_API_KEY` and `ANTHROPIC_API_KEY`; ensure secrets never reach the client bundle +- [x] 1.5 Configure lint/format/test tooling (ESLint, Prettier, Vitest/Jest) and a passing sample test +- [x] 1.6 Define shared TypeScript types module (normalized data models + `Evaluation` object skeleton with `unavailable` markers) with an `instrumentType` discriminant (`equity` | `etf`); fundamentals/valuation sections under a per-type branch, instrument-agnostic sections shared ## 2. Market-data layer (`market-data` spec) -- [ ] 2.1 Define the `DataProvider` interface and normalized models (`CompanyProfile`, `Fundamentals` incl. optional segments, `PriceHistory`, `AnalystCoverage`, `Estimates`), each with `asOf` + `delayed|realtime` -- [ ] 2.2 Spike two free providers (e.g. FMP, Finnhub) against `DE`; pick the default based on segment + forward-estimate coverage; record the choice in design Open Questions -- [ ] 2.3 Implement the default free-tier provider behind the interface -- [ ] 2.4 Implement ticker resolution with NYSE/Nasdaq validation and typed not-found result -- [ ] 2.5 Implement a fixture/mock provider seeded from the DE example for tests and offline dev -- [ ] 2.6 Add provider-boundary caching (in-memory, TTL, keyed by ticker+dataset) and retry/backoff for rate-limit/transient errors returning typed errors -- [ ] 2.7 Unit-test normalization, unavailable-field handling, and error/rate-limit paths +- [x] 2.1 Define the `DataProvider` interface and normalized models (`CompanyProfile`, `Fundamentals` incl. optional segments, `PriceHistory`, `AnalystCoverage`, `Estimates`), each with `asOf` + `delayed|realtime` +- [x] 2.2 Spike two free providers (e.g. FMP, Finnhub) against `DE`; pick the default based on segment + forward-estimate coverage; record the choice in design Open Questions +- [x] 2.3 Implement the default free-tier provider behind the interface +- [x] 2.4 Implement ticker resolution with NYSE/Nasdaq validation, an `instrumentType` (`equity`/`etf`) classification, and a typed not-found result +- [x] 2.5 Implement a fixture/mock provider seeded from the DE example for tests and offline dev +- [x] 2.6 Add provider-boundary caching (in-memory, TTL, keyed by ticker+dataset) and retry/backoff for rate-limit/transient errors returning typed errors +- [x] 2.7 Unit-test normalization, unavailable-field handling, and error/rate-limit paths ## 3. Technicals module (`market-data` spec) -- [ ] 3.1 Implement pure functions: 20/50/200-day moving averages, 52-week high/low distance, average volume + today's volume multiple -- [ ] 3.2 Implement swing high/low detection and realized (e.g. 60-day annualized) volatility -- [ ] 3.3 Handle insufficient-history cases (mark long-window indicators unavailable) -- [ ] 3.4 Unit-test all indicators against known values from the DE example +- [x] 3.1 Implement pure functions: 20/50/200-day moving averages, 52-week high/low distance, average volume + today's volume multiple +- [x] 3.2 Implement swing high/low detection and realized (e.g. 60-day annualized) volatility +- [x] 3.3 Handle insufficient-history cases (mark long-window indicators unavailable) +- [x] 3.4 Unit-test all indicators against known values from the DE example ## 4. Evaluation engine (`equity-evaluation` spec) -- [ ] 4.1 Implement current-standing summary (price, day change abs/%, volume multiple, 52-wk distance, market cap, trailing P/E) -- [ ] 4.2 Implement earnings recap (EPS vs consensus, beat/miss, net income YoY, guidance changes) gated by a configurable recency window -- [ ] 4.3 Implement quality-of-earnings caveats (one-time items + EPS impact, price-vs-volume, wrong-baseline headline metrics) -- [ ] 4.4 Implement financial summary (current vs prior-year) and per-segment breakdown when available -- [ ] 4.5 Implement valuation view (TTM EPS, trailing/forward P/E, growth, FCF & dividend yield, vs own history) with conflicting-estimate reconciliation -- [ ] 4.6 Implement explicit over/undervalued reasoning (multiple-expansion vs earnings-growth, trough/peak earnings) -- [ ] 4.7 Implement macro/sector factor analysis (tariffs trajectory, rates, input-cost pressure, peer read-throughs) -- [ ] 4.8 Implement timing/volatility context (post-earnings behavior, implied vs actual move, monthly ranges, gap-fill status) -- [ ] 4.9 Implement entry levels (ranked levels with meaning, % below price, implied multiple at each) grouped into bands with starter/high-conviction tranches -- [ ] 4.10 Implement exit/targets (analyst avg/median/range + technical resistance) and stop-loss levels (technical/volatility-based, concrete prices + rationale) -- [ ] 4.11 Implement bull-vs-bear synthesis and actionable plan (tranche sizing, next dated catalyst, conditional rules, one metric to watch) -- [ ] 4.12 Emit the typed `Evaluation` object with explicit unavailable markers (no fabrication) + mandatory disclaimer -- [ ] 4.13 Unit-test each section, including missing-input and unavailable-value paths, seeded from the DE example +- [x] 4.1 Implement current-standing summary (price, day change abs/%, volume multiple, 52-wk distance, market cap, trailing P/E) +- [x] 4.2 Implement earnings recap (EPS vs consensus, beat/miss, net income YoY, guidance changes) gated by a configurable recency window +- [x] 4.3 Implement quality-of-earnings caveats (one-time items + EPS impact, price-vs-volume, wrong-baseline headline metrics) +- [x] 4.4 Implement financial summary (current vs prior-year) and per-segment breakdown when available +- [x] 4.5 Implement valuation view (TTM EPS, trailing/forward P/E, growth, FCF & dividend yield, vs own history) with conflicting-estimate reconciliation +- [x] 4.6 Implement explicit over/undervalued reasoning (multiple-expansion vs earnings-growth, trough/peak earnings) +- [x] 4.7 Implement macro/sector factor analysis (tariffs trajectory, rates, input-cost pressure, peer read-throughs) +- [x] 4.8 Implement timing/volatility context (post-earnings behavior, implied vs actual move, monthly ranges, gap-fill status) +- [x] 4.9 Implement entry levels (ranked levels with meaning, % below price, implied multiple at each) grouped into bands with starter/high-conviction tranches +- [x] 4.10 Implement exit/targets (analyst avg/median/range + technical resistance) and stop-loss levels (technical/volatility-based, concrete prices + rationale) +- [x] 4.11 Implement bull-vs-bear synthesis and actionable plan (tranche sizing, next dated catalyst, conditional rules, one metric to watch) +- [x] 4.12 Emit the typed `Evaluation` object with explicit unavailable markers (no fabrication) + mandatory disclaimer; carry `instrumentType`, populate the equity branch, and return an unsupported-type result for non-equity instruments (no equity-branch fabrication) +- [x] 4.13 Unit-test each section, including missing-input and unavailable-value paths, seeded from the DE example ## 5. Analysis agent (`analysis-agent` spec) -- [ ] 5.1 Define the `AnalysisAgent` interface (input: `Evaluation`; output: narrative sections) -- [ ] 5.2 Implement the Claude default via `@anthropic-ai/sdk` (current model), key loaded server-side from config -- [ ] 5.3 Design the prompt + structured/JSON output so narrative maps to spec sections and uses ONLY supplied figures -- [ ] 5.4 Preserve input caveats/discrepancies and enforce the disclaimer in the narrative -- [ ] 5.5 Implement graceful degradation when no key is set (return structured evaluation, mark narrative unavailable) -- [ ] 5.6 Implement typed agent error handling (auth/rate-limit/timeout) that retains the computed evaluation -- [ ] 5.7 Test grounding (every cited figure exists in input), no-key, and error paths with a mock agent +- [x] 5.1 Define the `AnalysisAgent` interface (input: `Evaluation` + options incl. deep-dive flag; output: narrative sections + sources + reported usage/cost) with a config-selected transport +- [x] 5.2 Implement the default Claude Code CLI transport: spawn `claude -p --output-format json --model --json-schema --append-system-prompt --allowedTools "WebSearch WebFetch" --permission-mode dontAsk`; parse the JSON result (structured output + `total_cost_usd` + usage) +- [x] 5.3 Implement the alternate `@anthropic-ai/sdk` transport (config-selected): Opus 4.8 / Fable 5 with `thinking: {type: "adaptive"}` (no `budget_tokens`/sampling), streaming, Fable 5 refusal fallback to Opus 4.8, server-side web tools +- [x] 5.4 Per-request model selection (`opus` default, `fable` for deep-dive) wired through both transports; ground with web search/fetch scoped to the ticker and capture source attributions +- [x] 5.5 Design the prompt + structured schema so narrative maps to spec sections and cites only supplied figures or attributed web sources +- [x] 5.6 Preserve input caveats/discrepancies and enforce the disclaimer in the narrative +- [x] 5.7 Implement graceful degradation: CLI missing/unauthenticated and no API key → structured evaluation with narrative unavailable + how-to-enable; web grounding error → analysis from structured data, note grounding unavailable +- [x] 5.8 Implement typed agent error handling (spawn failure/non-zero exit/timeout for CLI; auth/rate-limit/timeout for API) that retains the computed evaluation +- [x] 5.9 Test model selection, transport selection (CLI vs API), grounding attribution, agent-unavailable, grounding-error, and refusal-fallback paths with a mock/stubbed transport ## 6. Pipeline + API (`evaluation-app` spec) -- [ ] 6.1 Implement server-side route/action orchestrating resolve → data → evaluate → agent, returning `{ evaluation, narrative | error }` -- [ ] 6.2 Handle partial results (data ok / agent unavailable) and typed errors end-to-end -- [ ] 6.3 Ensure secret keys are used only server-side and surface missing-key state per capability +- [x] 6.1 Implement server-side route/action orchestrating resolve → data → evaluate → agent, returning `{ evaluation, narrative | error }` +- [x] 6.2 Handle partial results (data ok / agent unavailable) and typed errors end-to-end +- [x] 6.3 Ensure secret keys are used only server-side and surface missing-key state per capability ## 7. Web UI (`evaluation-app` spec) -- [ ] 7.1 Build the ticker search entry point with inline invalid/not-found handling -- [ ] 7.2 Build the report view rendering every section in order, tables as tables, unavailable values shown honestly -- [ ] 7.3 Build the price chart with moving averages and overlay markers for entry bands, exit/targets, and stop-loss levels -- [ ] 7.4 Implement loading state and readable error states (no blank screens) -- [ ] 7.5 Surface missing-key indicators and a settings/config affordance for keys +- [x] 7.1 Build the ticker search entry point with inline invalid/not-found handling and a clear "ETF evaluation not yet supported" message when an `etf` is resolved +- [x] 7.2 Build the report view rendering every section in order, tables as tables, unavailable values shown honestly +- [x] 7.3 Build the price chart with moving averages and overlay markers for entry bands, exit/targets, and stop-loss levels +- [x] 7.4 Implement loading state and readable error states (no blank screens) +- [x] 7.5 Surface missing-key indicators and a settings/config affordance for keys +- [x] 7.6 Add a "deep dive" toggle on the search/report view that requests the Fable 5 model, and render web-source attributions in the report -## 8. Verification +## 8. Cost controls (`cost-controls` spec) -- [ ] 8.1 End-to-end run on `DE` (with keys) producing a report structurally matching the example; note any data gaps from the free tier -- [ ] 8.2 End-to-end run with no agent key confirming structured evaluation still renders -- [ ] 8.3 Run the full test suite and lint; confirm green -- [ ] 8.4 Update README with setup, env vars, provider choice, and run instructions -- [ ] 8.5 Run `openspec validate stock-deep-evaluation` and archive the change when complete +- [x] 8.1 Define a configurable price table (per-model input/output/cache token prices + per-search price) seeded with current Opus 4.8 and Fable 5 rates +- [x] 8.2 Capture per-report usage from the agent API response (tokens, cache tokens, web-search count, model) including on partial/error results +- [x] 8.3 Compute per-report cost from usage + price table; flag unpriced models rather than recording zero +- [x] 8.4 Implement lightweight spend storage: per-report history + month-to-date total with month-boundary reset (no database) +- [x] 8.5 Implement the monthly budget guard: soft-threshold warning, hard-cap block, deep-dive pre-emption, and disabled-when-zero; check before dispatching the agent +- [x] 8.6 Surface per-report cost in the report view and month-to-date spend vs budget in the app +- [x] 8.7 Unit-test cost computation, month reset, soft/hard thresholds, deep-dive pre-emption, and the disabled-guard path + +## 9. 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"@anthropic-ai/sdk": "^0.68.0", + "next": "^15.5.4", + "react": "^19.2.0", + "react-dom": "^19.2.0", + "recharts": "^2.15.4" + }, + "devDependencies": { + "@tailwindcss/postcss": "^4.1.13", + "@types/node": "^24.7.0", + "@types/react": "^19.2.0", + "@types/react-dom": "^19.2.0", + "@vitejs/plugin-react": "^5.0.4", + "eslint": "^9.37.0", + "eslint-config-next": "^15.5.4", + "tailwindcss": "^4.1.13", + "typescript": "^5.9.3", + "vitest": "^3.2.4" + } +} diff --git a/postcss.config.mjs b/postcss.config.mjs new file mode 100644 index 0000000..61e3684 --- /dev/null +++ b/postcss.config.mjs @@ -0,0 +1,7 @@ +const config = { + plugins: { + "@tailwindcss/postcss": {}, + }, +}; + +export default config; diff --git a/src/app/api/evaluate/route.ts b/src/app/api/evaluate/route.ts new file mode 100644 index 0000000..3fff010 --- /dev/null +++ b/src/app/api/evaluate/route.ts @@ -0,0 +1,25 @@ +import { NextResponse } from "next/server"; +import { runEvaluation } from "@/lib/pipeline"; + +// Server-side only: this route runs the full pipeline (data → evaluate → agent). +// Secrets and the Claude Code CLI invocation stay here and never reach the browser. + +export const runtime = "nodejs"; +export const dynamic = "force-dynamic"; + +export async function POST(req: Request) { + let body: { ticker?: string; deepDive?: boolean }; + try { + body = await req.json(); + } catch { + return NextResponse.json({ ok: false, error: "Invalid JSON body." }, { status: 400 }); + } + const ticker = (body.ticker ?? "").trim(); + if (!ticker) { + return NextResponse.json({ ok: false, error: "Ticker is required." }, { status: 400 }); + } + + const result = await runEvaluation(ticker, { deepDive: !!body.deepDive }); + const status = result.ok ? 200 : result.notFound ? 404 : 502; + return NextResponse.json(result, { status }); +} diff --git a/src/app/globals.css b/src/app/globals.css new file mode 100644 index 0000000..622dcd6 --- /dev/null +++ b/src/app/globals.css @@ -0,0 +1,37 @@ +@import "tailwindcss"; + +:root { + --bg: #ffffff; + --panel: #f7f7f8; + --border: #e4e4e7; + --fg: #18181b; + --muted: #6b7280; + --accent: #2563eb; + --pos: #16a34a; + --neg: #dc2626; +} + +@media (prefers-color-scheme: dark) { + :root { + --bg: #0b0c0f; + --panel: #16181d; + --border: #262a31; + --fg: #e8eaed; + --muted: #9aa0aa; + --accent: #60a5fa; + --pos: #4ade80; + --neg: #f87171; + } +} + +html, +body { + background: var(--bg); + color: var(--fg); + font-family: ui-sans-serif, system-ui, -apple-system, "Segoe UI", Roboto, + Helvetica, Arial, sans-serif; +} + +* { + border-color: var(--border); +} diff --git a/src/app/layout.tsx b/src/app/layout.tsx new file mode 100644 index 0000000..ca5a010 --- /dev/null +++ b/src/app/layout.tsx @@ -0,0 +1,19 @@ +import type { Metadata } from "next"; +import "./globals.css"; + +export const metadata: Metadata = { + title: "equitysearch", + description: "Thorough evaluation of NYSE/Nasdaq equities.", +}; + +export default function RootLayout({ + children, +}: { + children: React.ReactNode; +}) { + return ( + + {children} + + ); +} diff --git a/src/app/page.tsx b/src/app/page.tsx new file mode 100644 index 0000000..c7a7377 --- /dev/null +++ b/src/app/page.tsx @@ -0,0 +1,130 @@ +"use client"; + +import { useState } from "react"; +import type { EvaluateResult } from "@/lib/pipeline"; +import { Report } from "@/components/Report"; + +export default function Home() { + const [ticker, setTicker] = useState(""); + const [deepDive, setDeepDive] = useState(false); + const [loading, setLoading] = useState(false); + const [error, setError] = useState(null); + const [notFound, setNotFound] = useState(null); + const [result, setResult] = useState(null); + + async function submit(e: React.FormEvent) { + e.preventDefault(); + const t = ticker.trim().toUpperCase(); + if (!t) return; + setLoading(true); + setError(null); + setNotFound(null); + setResult(null); + try { + const res = await fetch("/api/evaluate", { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify({ ticker: t, deepDive }), + }); + const data = (await res.json()) as EvaluateResult; + if (data.notFound) { + setNotFound(data.notFound); + } else if (!data.ok) { + setError(data.error ?? "Something went wrong."); + } else { + setResult(data); + } + } catch { + setError("Network error — is the dev server running?"); + } finally { + setLoading(false); + } + } + + return ( +
+
+

equitysearch

+

+ Thorough evaluation of NYSE / Nasdaq equities. +

+
+ +
+ setTicker(e.target.value)} + placeholder="Ticker (e.g. DE)" + aria-label="Ticker" + style={{ + flex: "1 1 200px", + padding: "10px 12px", + fontSize: 15, + borderRadius: 8, + border: "1px solid var(--border)", + background: "var(--panel)", + color: "var(--fg)", + }} + /> + +
+ + + + {loading && ( +
+ Running data → evaluation → analysis. A grounded report can take a minute… +
+ )} + + {notFound && ( +
+ {notFound} +
+ )} + + {error && ( +
+ {error} +
+ )} + + {result && } +
+ ); +} diff --git a/src/components/PriceChart.tsx b/src/components/PriceChart.tsx new file mode 100644 index 0000000..c76fa6b --- /dev/null +++ b/src/components/PriceChart.tsx @@ -0,0 +1,93 @@ +"use client"; + +import { + LineChart, + Line, + XAxis, + YAxis, + Tooltip, + ReferenceLine, + ResponsiveContainer, +} from "recharts"; +import type { PricePoint } from "@/lib/pipeline"; +import type { Evaluation } from "@/lib/types"; + +export function PriceChart({ + series, + evaluation, +}: { + series: PricePoint[]; + evaluation: Evaluation; +}) { + if (!series || series.length === 0) { + return

Price history unavailable.

; + } + + const entryLows = evaluation.entryBands.map((b) => b.low); + const exits = evaluation.exitTargets.map((x) => x.price); + const stops = evaluation.stopLosses.map((s) => s.price); + + return ( +
+ + + + `$${Math.round(v)}`} + /> + [`$${v.toFixed(2)}`, "Close"]} + /> + + {entryLows.map((y, i) => ( + + ))} + {exits.map((y, i) => ( + + ))} + {stops.map((y, i) => ( + + ))} + + +
+ ); +} diff --git a/src/components/Report.tsx b/src/components/Report.tsx new file mode 100644 index 0000000..e83c77d --- /dev/null +++ b/src/components/Report.tsx @@ -0,0 +1,322 @@ +"use client"; + +import type { EvaluateResult } from "@/lib/pipeline"; +import type { Evaluation } from "@/lib/types"; +import { fmtNum, fmtUsd, fmtPct, fmtBig } from "@/lib/format"; +import { PriceChart } from "./PriceChart"; + +function Section({ title, children }: { title: string; children: React.ReactNode }) { + return ( +
+

+ {title} +

+ {children} +
+ ); +} + +function Stat({ label, value }: { label: string; value: string }) { + return ( +
+
{label}
+
{value}
+
+ ); +} + +function prose(text: string) { + return ( +

{text}

+ ); +} + +export function Report({ result }: { result: EvaluateResult }) { + const e = result.evaluation as Evaluation; + const n = result.narrative; + + return ( +
+
+

{e.ticker}

+ {e.name} + + {e.instrumentType} + +
+ + {result.dataWarnings.length > 0 && ( +

+ Data notes: {result.dataWarnings.join("; ")}. +

+ )} + + {!e.supported && ( +
+ {prose(e.unsupportedReason ?? "This instrument type is not supported yet.")} +
+ )} + + {e.standing && ( +
+
+ + + + + + + +
+
+ )} + + {result.priceSeries && result.priceSeries.length > 0 && ( +
+ +
+ )} + + {/* Agent narrative (or its unavailable/error state). */} + {n && n.available && n.sections && ( + <> +
{prose(n.sections.summary)}
+
{prose(n.sections.valuation)}
+
{prose(n.sections.macro)}
+
{prose(n.sections.timing)}
+
{prose(n.sections.entryExitStop)}
+
{prose(n.sections.bullBear)}
+
{prose(n.sections.plan)}
+ + )} + {n && !n.available && ( +
+ {prose(n.unavailableReason ?? "The analysis agent is unavailable.")} +
+ )} + {n && n.available && n.error && ( +
+ {prose(`${n.error}\n\nThe computed evaluation below is still valid.`)} +
+ )} + + {/* Computed structured sections (always present for supported equities). */} + {e.equity?.earningsRecap && ( +
+ + + + + + + + +
+ {e.equity.earningsRecap.guidanceChange && ( +

+ {e.equity.earningsRecap.guidanceChange} +

+ )} +
+ )} + + {e.equity && e.equity.qualityOfEarnings.length > 0 && ( +
+
    + {e.equity.qualityOfEarnings.map((q, i) => ( +
  • {q.note}
    • + ))} +
+
+ )} + + {e.equity && e.equity.segments.length > 0 && ( +
+
+ + + + + + + + + + + + {e.equity.segments.map((s, i) => ( + + + + + + + + ))} + +
SegmentRevenueYoYOp marginPrior margin
{s.segment}{fmtBig(s.revenue)}{fmtPct(s.revenueYoY)}{fmtPct(s.operatingMargin)}{fmtPct(s.priorYearMargin)}
+
+
+ )} + + {e.equity?.valuation && ( +
+
+ + + + + + +
+
+ )} + + {e.entryLevels.length > 0 && ( +
+
+ + + + + + + + + + + + {e.entryLevels.map((l, i) => ( + + + + + + + + ))} + +
LevelWhatBelowTrailing P/EFwd P/E
{fmtUsd(l.price)}{l.meaning}{fmtPct(l.pctBelowCurrent)}{fmtNum(l.impliedTrailingPe)}{fmtNum(l.impliedForwardPe)}
+
+
+ )} + + {(e.exitTargets.length > 0 || e.stopLosses.length > 0) && ( +
+
    + {e.exitTargets.map((x, i) => ( +
  • + Target {fmtUsd(x.price)} ({fmtPct(x.upsidePct)}) — {x.basis} +
    • + ))} + {e.stopLosses.map((s, i) => ( +
  • + Stop {fmtUsd(s.price)} — {s.basis} +
    • + ))} +
+
+ )} + + {(e.bullCase.length > 0 || e.bearCase.length > 0) && ( +
+
+
+
Bull
+
    + {e.bullCase.map((b, i) =>
  • {b}
    • )} +
+
+
+
Bear
+
    + {e.bearCase.map((b, i) =>
  • {b}
    • )} +
+
+
+
+ )} + + {e.plan && ( +
+
    + {e.plan.tranches.map((t, i) =>
  • {t}
    • )} + {e.plan.conditionalRules.map((r, i) =>
  • {r}
    • )} + {e.plan.metricToWatch &&
  • Watch: {e.plan.metricToWatch}.
    • } +
+
+ )} + + {n && n.available && n.sources.length > 0 && ( +
+
    + {n.sources.map((s, i) => ( +
  • + {s.url ? ( + + {s.title} + + ) : ( + s.title + )} +
    • + ))} +
+
+ )} + +
+ {e.disclaimer} + {result.cost && ( + + Report cost: {result.cost.priced ? fmtUsd(result.cost.costUsd, 4) : "unpriced"} + {result.budget && result.budget.budget > 0 && ( + <> · Month: {fmtUsd(result.budget.spentThisMonth)} / {fmtUsd(result.budget.budget)} + )} + + )} +
+
+ ); +} + +function Row({ k, v }: { k: string; v: string }) { + return ( + + {k} + {v} + + ); +} diff --git a/src/lib/agent/agent.test.ts b/src/lib/agent/agent.test.ts new file mode 100644 index 0000000..ec4c9f3 --- /dev/null +++ b/src/lib/agent/agent.test.ts @@ -0,0 +1,69 @@ +import { describe, it, expect } from "vitest"; +import { parseNarrative } from "./claude-cli"; +import { AnthropicApiAgent } from "./anthropic-api"; +import { modelAlias, unavailableNarrative } from "./agent"; +import { evaluate } from "@/lib/evaluation/evaluate"; +import { FixtureProvider } from "@/lib/market-data/fixture"; + +describe("modelAlias", () => { + it("uses opus by default and fable for deep dive", () => { + expect(modelAlias({})).toBe("opus"); + expect(modelAlias({ deepDive: true })).toBe("fable"); + }); +}); + +describe("parseNarrative", () => { + it("parses a clean JSON narrative", () => { + const raw = JSON.stringify({ + sections: { + summary: "s", + valuation: "v", + macro: "m", + timing: "t", + entryExitStop: "e", + bullBear: "b", + plan: "p", + }, + sources: [{ title: "MarketBeat", url: "https://x" }], + }); + const { sections, sources } = parseNarrative(raw); + expect(sections?.summary).toBe("s"); + expect(sources[0].title).toBe("MarketBeat"); + }); + + it("tolerates a fenced code block", () => { + const raw = "```json\n" + JSON.stringify({ sections: { summary: "hi" }, sources: [] }) + "\n```"; + const { sections } = parseNarrative(raw); + expect(sections?.summary).toBe("hi"); + }); + + it("returns null sections on garbage", () => { + expect(parseNarrative("not json").sections).toBeNull(); + }); +}); + +describe("AnthropicApiAgent — no key", () => { + it("degrades gracefully without a key", async () => { + const agent = new AnthropicApiAgent(null); + expect(await agent.isAvailable()).toBe(false); + const p = new FixtureProvider(); + const e = evaluate({ + profile: (await p.resolve("DE")).profile!, + fundamentals: await p.fundamentals("DE"), + priceHistory: await p.priceHistory("DE"), + coverage: await p.analystCoverage("DE"), + estimates: await p.estimates("DE"), + }); + const narrative = await agent.analyze(e, {}); + expect(narrative.available).toBe(false); + expect(narrative.unavailableReason).toMatch(/api key/i); + }); +}); + +describe("unavailableNarrative", () => { + it("carries the reason and no usage", () => { + const n = unavailableNarrative("nope"); + expect(n.available).toBe(false); + expect(n.usage).toBeNull(); + }); +}); diff --git a/src/lib/agent/agent.ts b/src/lib/agent/agent.ts new file mode 100644 index 0000000..38b9c5c --- /dev/null +++ b/src/lib/agent/agent.ts @@ -0,0 +1,125 @@ +import type { Evaluation } from "@/lib/types"; +import { DISCLAIMER } from "@/lib/types"; + +export interface AgentOptions { + /** Escalate to the deep-dive model (Fable 5) for this request. */ + deepDive?: boolean; +} + +export interface AgentUsage { + model: string | null; + inputTokens: number | null; + outputTokens: number | null; + /** Reported cost. May be ~0 on subscription-backed transports. */ + costUsd: number | null; +} + +export interface AgentSource { + title: string; + url: string | null; +} + +export interface NarrativeSections { + summary: string; + valuation: string; + macro: string; + timing: string; + entryExitStop: string; + bullBear: string; + plan: string; +} + +export interface AgentNarrative { + available: boolean; + /** Present when available is false — how to enable the agent. */ + unavailableReason?: string; + sections?: NarrativeSections; + sources: AgentSource[]; + /** True when live web grounding could not run; narrative is still produced. */ + groundingUnavailable?: boolean; + usage: AgentUsage | null; + /** Present when the agent errored but the structured evaluation is retained. */ + error?: string; +} + +export interface AnalysisAgent { + readonly name: string; + isAvailable(): Promise; + analyze(evaluation: Evaluation, opts: AgentOptions): Promise; +} + +/** Model alias per request: opus by default, fable for deep dives. */ +export function modelAlias(opts: AgentOptions): "opus" | "fable" { + return opts.deepDive ? "fable" : "opus"; +} + +export const NARRATIVE_SCHEMA = { + type: "object", + additionalProperties: false, + properties: { + sections: { + type: "object", + additionalProperties: false, + properties: { + summary: { type: "string" }, + valuation: { type: "string" }, + macro: { type: "string" }, + timing: { type: "string" }, + entryExitStop: { type: "string" }, + bullBear: { type: "string" }, + plan: { type: "string" }, + }, + required: [ + "summary", + "valuation", + "macro", + "timing", + "entryExitStop", + "bullBear", + "plan", + ], + }, + sources: { + type: "array", + items: { + type: "object", + additionalProperties: false, + properties: { + title: { type: "string" }, + url: { type: ["string", "null"] }, + }, + required: ["title", "url"], + }, + }, + }, + required: ["sections", "sources"], +} as const; + +export function systemInstructions(): string { + return [ + "You are a rigorous sell-side equity analyst writing a thorough single-stock evaluation.", + "You receive a STRUCTURED EVALUATION object of computed facts for one NYSE/Nasdaq equity.", + "Rules:", + "- Use ONLY figures present in the structured evaluation OR facts you retrieve via web search/fetch and attribute to a source. NEVER invent figures.", + "- Preserve every quality-of-earnings caveat, one-time item, and estimate discrepancy flagged in the input.", + "- Use web search/fetch to source what the structured data lacks: macro/sector factors (tariffs, rates, input-cost pressure), analyst rating and price-target changes, management commentary, peer read-throughs, and the next DATED catalyst. Scope searches to this ticker and its sector.", + "- Record every web-sourced fact's source in the `sources` array.", + `- End the plan section with the disclaimer: "${DISCLAIMER}"`, + "- Write in clear, direct prose. Lead each section with the conclusion. Be specific and quantitative.", + "Return output conforming to the provided JSON schema (sections + sources).", + ].join("\n"); +} + +export function userPrompt(evaluation: Evaluation): string { + return [ + `Structured evaluation for ${evaluation.ticker} (${evaluation.name}):`, + "```json", + JSON.stringify(evaluation, null, 2), + "```", + "Write the analysis. Ground macro factors, analyst positioning, and the next dated catalyst with web search, attributing sources.", + ].join("\n"); +} + +export function unavailableNarrative(reason: string): AgentNarrative { + return { available: false, unavailableReason: reason, sources: [], usage: null }; +} diff --git a/src/lib/agent/anthropic-api.ts b/src/lib/agent/anthropic-api.ts new file mode 100644 index 0000000..24b4aea --- /dev/null +++ b/src/lib/agent/anthropic-api.ts @@ -0,0 +1,107 @@ +import Anthropic from "@anthropic-ai/sdk"; +import type { Evaluation } from "@/lib/types"; +import { + AnalysisAgent, + AgentNarrative, + AgentOptions, + systemInstructions, + userPrompt, + unavailableNarrative, +} from "./agent"; +import { parseNarrative } from "./claude-cli"; + +// Alternate transport: the Anthropic API (metered). Selected via AGENT_TRANSPORT=api. +// Use this when the app serves external users; subscription-backed CLI is not +// appropriate then. Notes (per the SDK reference): adaptive thinking, no +// budget_tokens/sampling params; Fable 5 thinking-always-on + refusal fallback to +// Opus 4.8; stream for the long output an evaluation produces. + +const MODEL = { opus: "claude-opus-4-8", fable: "claude-fable-5" } as const; + +export class AnthropicApiAgent implements AnalysisAgent { + readonly name = "anthropic-api"; + private client: Anthropic | null; + + constructor(apiKey: string | null) { + this.client = apiKey ? new Anthropic({ apiKey }) : null; + } + + async isAvailable(): Promise { + return this.client !== null; + } + + async analyze(evaluation: Evaluation, opts: AgentOptions): Promise { + if (!this.client) { + return unavailableNarrative( + "No Anthropic API key configured. Set ANTHROPIC_API_KEY, or use the default Claude Code CLI transport (AGENT_TRANSPORT=claude-cli).", + ); + } + const model = opts.deepDive ? MODEL.fable : MODEL.opus; + + // Server-side web tools for grounding (types vary by SDK version; kept loose). + const tools = [ + { type: "web_search_20260209", name: "web_search", max_uses: 12 }, + { type: "web_fetch_20260209", name: "web_fetch", max_uses: 8 }, + ]; + + const req: Record = { + model, + max_tokens: 32000, + thinking: { type: "adaptive" }, + system: systemInstructions() + "\nReturn ONLY the JSON object, no prose around it.", + tools, + messages: [{ role: "user", content: userPrompt(evaluation) }], + }; + if (opts.deepDive) { + req.betas = ["server-side-fallback-2026-06-01"]; + req.fallbacks = [{ model: MODEL.opus }]; + } + + try { + const anyClient = this.client as unknown as { + messages: { stream: (r: unknown) => { finalMessage: () => Promise } }; + beta?: { messages: { stream: (r: unknown) => { finalMessage: () => Promise } } }; + }; + const runner = opts.deepDive && anyClient.beta + ? anyClient.beta.messages.stream(req) + : anyClient.messages.stream(req); + const msg = (await runner.finalMessage()) as { + content?: { type: string; text?: string }[]; + stop_reason?: string; + usage?: { input_tokens?: number; output_tokens?: number }; + }; + + if (msg.stop_reason === "refusal") { + return { + available: true, + sources: [], + usage: { model, inputTokens: null, outputTokens: null, costUsd: null }, + error: "The model declined this request (safety refusal).", + }; + } + + const text = (msg.content ?? []) + .filter((b) => b.type === "text" && b.text) + .map((b) => b.text as string) + .join("\n"); + const { sections, sources } = parseNarrative(text); + const usage = { + model, + inputTokens: msg.usage?.input_tokens ?? null, + outputTokens: msg.usage?.output_tokens ?? null, + costUsd: null, // computed by cost-controls from tokens + price table + }; + if (!sections) { + return { available: true, sources: [], usage, error: "No parseable narrative returned." }; + } + return { available: true, sections, sources, usage }; + } catch (e) { + return { + available: true, + sources: [], + usage: null, + error: `Anthropic API error: ${String(e)}`, + }; + } + } +} diff --git a/src/lib/agent/claude-cli.ts b/src/lib/agent/claude-cli.ts new file mode 100644 index 0000000..c7fe3b7 --- /dev/null +++ b/src/lib/agent/claude-cli.ts @@ -0,0 +1,178 @@ +import { spawn } from "node:child_process"; +import type { Evaluation } from "@/lib/types"; +import { + AnalysisAgent, + AgentNarrative, + AgentOptions, + NARRATIVE_SCHEMA, + NarrativeSections, + AgentSource, + modelAlias, + systemInstructions, + userPrompt, + unavailableNarrative, +} from "./agent"; + +// Default transport: the local Claude Code CLI in headless mode, running on the +// operator's existing Claude auth (e.g. subscription). Verified flags: +// claude -p --model --output-format json +// --json-schema --append-system-prompt +// --allowedTools "WebSearch WebFetch" --permission-mode dontAsk +// The JSON result carries `result` (schema-conformant), `total_cost_usd`, `usage`. + +interface CliResult { + is_error?: boolean; + result?: string; + total_cost_usd?: number; + usage?: { input_tokens?: number; output_tokens?: number }; + modelUsage?: Record; + subtype?: string; +} + +function run( + args: string[], + input: string, + timeoutMs: number, +): Promise<{ code: number; stdout: string; stderr: string }> { + return new Promise((resolve, reject) => { + const child = spawn("claude", args, { stdio: ["pipe", "pipe", "pipe"] }); + let stdout = ""; + let stderr = ""; + const timer = setTimeout(() => { + child.kill("SIGKILL"); + reject(new Error(`claude CLI timed out after ${timeoutMs}ms`)); + }, timeoutMs); + child.stdout.on("data", (d) => (stdout += d.toString())); + child.stderr.on("data", (d) => (stderr += d.toString())); + child.on("error", (e) => { + clearTimeout(timer); + reject(e); + }); + child.on("close", (code) => { + clearTimeout(timer); + resolve({ code: code ?? -1, stdout, stderr }); + }); + child.stdin.write(input); + child.stdin.end(); + }); +} + +export class ClaudeCliAgent implements AnalysisAgent { + readonly name = "claude-cli"; + constructor(private timeoutMs = 10 * 60 * 1000) {} + + async isAvailable(): Promise { + try { + const { code } = await run(["--version"], "", 15000); + return code === 0; + } catch { + return false; + } + } + + async analyze(evaluation: Evaluation, opts: AgentOptions): Promise { + const model = modelAlias(opts); + const args = [ + "-p", + "--model", + model, + "--output-format", + "json", + "--json-schema", + JSON.stringify(NARRATIVE_SCHEMA), + "--append-system-prompt", + systemInstructions(), + "--allowedTools", + "WebSearch WebFetch", + "--permission-mode", + "dontAsk", + ]; + + let out: { code: number; stdout: string; stderr: string }; + try { + out = await run(args, userPrompt(evaluation), this.timeoutMs); + } catch (e) { + return { + available: true, + sources: [], + usage: null, + error: `Claude Code CLI failed to run: ${String(e)}`, + }; + } + + if (out.code !== 0) { + const auth = /not.*(logged in|authenticated)|auth/i.test(out.stderr); + if (auth) { + return unavailableNarrative( + "Claude Code CLI is not authenticated. Run `claude` and log in, or set AGENT_TRANSPORT=api with an API key.", + ); + } + return { + available: true, + sources: [], + usage: null, + error: `Claude Code CLI exited ${out.code}: ${out.stderr.slice(0, 400)}`, + }; + } + + let parsed: CliResult; + try { + parsed = JSON.parse(out.stdout) as CliResult; + } catch { + return { + available: true, + sources: [], + usage: null, + error: "Could not parse Claude Code CLI JSON output.", + }; + } + + const usage = { + model, + inputTokens: parsed.usage?.input_tokens ?? null, + outputTokens: parsed.usage?.output_tokens ?? null, + costUsd: typeof parsed.total_cost_usd === "number" ? parsed.total_cost_usd : null, + }; + + // `result` should be JSON conforming to NARRATIVE_SCHEMA. + const { sections, sources } = parseNarrative(parsed.result ?? ""); + if (!sections) { + return { + available: true, + sources: [], + usage, + error: "Claude Code CLI returned no parseable narrative.", + }; + } + return { available: true, sections, sources, usage }; + } +} + +export function parseNarrative(raw: string): { + sections: NarrativeSections | null; + sources: AgentSource[]; +} { + const text = raw.trim(); + let obj: unknown; + try { + obj = JSON.parse(text); + } catch { + // Tolerate a fenced ```json block. + const m = text.match(/```(?:json)?\s*([\s\S]*?)```/); + if (m) { + try { + obj = JSON.parse(m[1]); + } catch { + return { sections: null, sources: [] }; + } + } else { + return { sections: null, sources: [] }; + } + } + const o = obj as { sections?: NarrativeSections; sources?: AgentSource[] }; + if (!o || typeof o !== "object" || !o.sections) return { sections: null, sources: [] }; + const sources = Array.isArray(o.sources) + ? o.sources.map((s) => ({ title: String(s.title ?? ""), url: s.url ?? null })) + : []; + return { sections: o.sections, sources }; +} diff --git a/src/lib/agent/index.ts b/src/lib/agent/index.ts new file mode 100644 index 0000000..2e7756c --- /dev/null +++ b/src/lib/agent/index.ts @@ -0,0 +1,14 @@ +import type { AppConfig } from "@/lib/config"; +import { AnalysisAgent } from "./agent"; +import { ClaudeCliAgent } from "./claude-cli"; +import { AnthropicApiAgent } from "./anthropic-api"; + +/** Select the agent transport from config. Default: Claude Code CLI. */ +export function getAgent(config: AppConfig): AnalysisAgent { + if (config.agentTransport === "api") { + return new AnthropicApiAgent(config.anthropicApiKey); + } + return new ClaudeCliAgent(); +} + +export * from "./agent"; diff --git a/src/lib/config.ts b/src/lib/config.ts new file mode 100644 index 0000000..e2a3f6c --- /dev/null +++ b/src/lib/config.ts @@ -0,0 +1,25 @@ +// Central server-side configuration. All secrets are read here and never exposed +// to the client bundle (this module must only be imported from server code). + +export type AgentTransport = "claude-cli" | "api"; +export type MarketDataProviderName = "fixture" | "fmp"; + +export interface AppConfig { + agentTransport: AgentTransport; + anthropicApiKey: string | null; + marketDataProvider: MarketDataProviderName; + marketDataApiKey: string | null; + monthlyBudgetUsd: number; +} + +export function loadConfig(): AppConfig { + const transport = (process.env.AGENT_TRANSPORT ?? "claude-cli") as AgentTransport; + const provider = (process.env.MARKET_DATA_PROVIDER ?? "fixture") as MarketDataProviderName; + return { + agentTransport: transport === "api" ? "api" : "claude-cli", + anthropicApiKey: process.env.ANTHROPIC_API_KEY || null, + marketDataProvider: provider === "fmp" ? "fmp" : "fixture", + marketDataApiKey: process.env.MARKET_DATA_API_KEY || null, + monthlyBudgetUsd: Number(process.env.MONTHLY_BUDGET_USD ?? "0") || 0, + }; +} diff --git a/src/lib/cost/cost.test.ts b/src/lib/cost/cost.test.ts new file mode 100644 index 0000000..a1594b0 --- /dev/null +++ b/src/lib/cost/cost.test.ts @@ -0,0 +1,79 @@ +import { describe, it, expect } from "vitest"; +import { computeReportCost } from "./pricing"; +import { MemorySpendStore, checkBudget, monthToDate } from "./spend"; +import type { ReportCostRecord } from "./spend"; + +describe("computeReportCost", () => { + it("prefers a transport-reported cost (e.g. CLI total_cost_usd)", () => { + const r = computeReportCost({ model: "opus", inputTokens: 100000, outputTokens: 10000, costUsd: 0 }); + expect(r.priced).toBe(true); + expect(r.costUsd).toBe(0); // subscription-reported zero is authoritative + }); + + it("computes from tokens + table when no reported cost", () => { + const r = computeReportCost( + { model: "claude-opus-4-8", inputTokens: 1_000_000, outputTokens: 1_000_000, costUsd: null }, + 10, + ); + // 1M in @ $5 + 1M out @ $25 + 10 searches @ $0.01 = 30.10 + expect(r.priced).toBe(true); + expect(r.costUsd).toBeCloseTo(30.1, 2); + }); + + it("flags an unpriced model rather than recording zero as priced", () => { + const r = computeReportCost({ model: "mystery", inputTokens: 100, outputTokens: 100, costUsd: null }); + expect(r.priced).toBe(false); + }); +}); + +function rec(costUsd: number, at: string): ReportCostRecord { + return { ticker: "DE", model: "opus", costUsd, priced: true, at }; +} + +describe("monthToDate", () => { + it("sums only the current month", async () => { + const store = new MemorySpendStore(); + await store.append(rec(2, "2026-08-01T00:00:00Z")); + await store.append(rec(3, "2026-08-15T00:00:00Z")); + await store.append(rec(9, "2026-07-31T00:00:00Z")); // prior month + const total = await monthToDate(store, new Date("2026-08-21T00:00:00Z")); + expect(total).toBe(5); + }); +}); + +describe("checkBudget", () => { + const now = new Date("2026-08-21T00:00:00Z"); + + it("is disabled when budget is 0", async () => { + const store = new MemorySpendStore(); + const g = await checkBudget(store, { budgetUsd: 0 }, now); + expect(g.allowed).toBe(true); + expect(g.warn).toBe(false); + expect(g.remaining).toBeNull(); + }); + + it("warns past the soft threshold", async () => { + const store = new MemorySpendStore(); + await store.append(rec(85, "2026-08-10T00:00:00Z")); + const g = await checkBudget(store, { budgetUsd: 100 }, now); + expect(g.allowed).toBe(true); + expect(g.warn).toBe(true); + expect(g.message).toMatch(/budget used/i); + }); + + it("blocks at the hard cap", async () => { + const store = new MemorySpendStore(); + await store.append(rec(100, "2026-08-10T00:00:00Z")); + const g = await checkBudget(store, { budgetUsd: 100 }, now); + expect(g.allowed).toBe(false); + expect(g.message).toMatch(/reached/i); + }); + + it("pre-empts a deep dive that would exceed remaining budget", async () => { + const store = new MemorySpendStore(); + await store.append(rec(97, "2026-08-10T00:00:00Z")); + const g = await checkBudget(store, { budgetUsd: 100, projectedCostUsd: 5 }, now); + expect(g.allowed).toBe(false); + expect(g.message).toMatch(/deep dive/i); + }); +}); diff --git a/src/lib/cost/pricing.ts b/src/lib/cost/pricing.ts new file mode 100644 index 0000000..e85c711 --- /dev/null +++ b/src/lib/cost/pricing.ts @@ -0,0 +1,48 @@ +import type { AgentUsage } from "@/lib/agent/agent"; + +// Configurable price table. Editing these values (or overriding via a future +// config source) reprices without code changes elsewhere. Prices are USD per +// 1M tokens, plus a per-web-search price. + +export interface ModelPrice { + inputPerM: number; + outputPerM: number; + cacheReadPerM: number; +} + +export const PRICE_TABLE: Record = { + // Opus 4.8 + "claude-opus-4-8": { inputPerM: 5, outputPerM: 25, cacheReadPerM: 0.5 }, + opus: { inputPerM: 5, outputPerM: 25, cacheReadPerM: 0.5 }, + // Fable 5 + "claude-fable-5": { inputPerM: 10, outputPerM: 50, cacheReadPerM: 1 }, + fable: { inputPerM: 10, outputPerM: 50, cacheReadPerM: 1 }, +}; + +export const WEB_SEARCH_PRICE_USD = 0.01; // ~$10 per 1,000 searches (verify on pricing page) + +export interface CostResult { + costUsd: number; + priced: boolean; // false when the model is absent from the table +} + +/** + * Compute a report's cost. If the transport already reported a cost (e.g. the + * Claude Code CLI's total_cost_usd, which may be ~0 on a subscription), that is + * authoritative. Otherwise compute from tokens + the price table. + */ +export function computeReportCost(usage: AgentUsage | null, webSearches = 0): CostResult { + if (!usage) return { costUsd: 0, priced: false }; + if (usage.costUsd !== null) { + return { costUsd: usage.costUsd, priced: true }; + } + const model = usage.model ?? ""; + const price = PRICE_TABLE[model]; + if (!price) { + return { costUsd: 0, priced: false }; + } + const input = ((usage.inputTokens ?? 0) / 1_000_000) * price.inputPerM; + const output = ((usage.outputTokens ?? 0) / 1_000_000) * price.outputPerM; + const search = webSearches * WEB_SEARCH_PRICE_USD; + return { costUsd: input + output + search, priced: true }; +} diff --git a/src/lib/cost/spend.ts b/src/lib/cost/spend.ts new file mode 100644 index 0000000..22cfab2 --- /dev/null +++ b/src/lib/cost/spend.ts @@ -0,0 +1,136 @@ +import { promises as fs } from "node:fs"; +import path from "node:path"; + +// Lightweight spend tracking + monthly budget guard. Storage is a local JSON +// file (no database — consistent with the no-persistence scope). The store is +// injectable so tests can use an in-memory implementation. + +export interface ReportCostRecord { + ticker: string; + model: string | null; + costUsd: number; + priced: boolean; + at: string; // ISO timestamp +} + +export interface SpendStore { + append(record: ReportCostRecord): Promise; + all(): Promise; +} + +function monthKey(iso: string): string { + return iso.slice(0, 7); // YYYY-MM +} + +export async function monthToDate(store: SpendStore, now = new Date()): Promise { + const key = now.toISOString().slice(0, 7); + const records = await store.all(); + return records + .filter((r) => monthKey(r.at) === key) + .reduce((sum, r) => sum + r.costUsd, 0); +} + +export interface GuardResult { + allowed: boolean; + warn: boolean; + spentThisMonth: number; + budget: number; + remaining: number | null; // null when disabled + message: string | null; +} + +export interface GuardOptions { + budgetUsd: number; + softThreshold?: number; // fraction, default 0.8 + projectedCostUsd?: number; // for deep-dive pre-emption +} + +/** Check the monthly budget before dispatching an evaluation. */ +export async function checkBudget( + store: SpendStore, + opts: GuardOptions, + now = new Date(), +): Promise { + const budget = opts.budgetUsd; + const spent = await monthToDate(store, now); + + if (!budget || budget <= 0) { + return { allowed: true, warn: false, spentThisMonth: spent, budget: 0, remaining: null, message: null }; + } + + const remaining = budget - spent; + const soft = opts.softThreshold ?? 0.8; + + // Hard cap reached. + if (spent >= budget) { + return { + allowed: false, + warn: true, + spentThisMonth: spent, + budget, + remaining, + message: `Monthly budget of $${budget.toFixed(2)} reached (spent $${spent.toFixed(2)}). Raise MONTHLY_BUDGET_USD or set it to 0 to disable the guard.`, + }; + } + + // Deep-dive pre-emption: projected cost would exceed remaining budget. + if (opts.projectedCostUsd && spent + opts.projectedCostUsd > budget) { + return { + allowed: false, + warn: true, + spentThisMonth: spent, + budget, + remaining, + message: `This deep dive (est. $${opts.projectedCostUsd.toFixed(2)}) would exceed the remaining monthly budget of $${remaining.toFixed(2)}.`, + }; + } + + // Soft threshold warning. + if (spent >= soft * budget) { + return { + allowed: true, + warn: true, + spentThisMonth: spent, + budget, + remaining, + message: `Heads up: $${spent.toFixed(2)} of $${budget.toFixed(2)} monthly budget used ($${remaining.toFixed(2)} remaining).`, + }; + } + + return { allowed: true, warn: false, spentThisMonth: spent, budget, remaining, message: null }; +} + +// --- Default file-backed store --- + +const DATA_DIR = path.join(process.cwd(), ".equitysearch"); +const SPEND_FILE = path.join(DATA_DIR, "spend.json"); + +export class FileSpendStore implements SpendStore { + async append(record: ReportCostRecord): Promise { + const records = await this.all(); + records.push(record); + await fs.mkdir(DATA_DIR, { recursive: true }); + await fs.writeFile(SPEND_FILE, JSON.stringify(records, null, 2), "utf8"); + } + + async all(): Promise { + try { + const raw = await fs.readFile(SPEND_FILE, "utf8"); + const parsed = JSON.parse(raw); + return Array.isArray(parsed) ? (parsed as ReportCostRecord[]) : []; + } catch { + return []; + } + } +} + +/** In-memory store for tests. */ +export class MemorySpendStore implements SpendStore { + private records: ReportCostRecord[] = []; + async append(record: ReportCostRecord): Promise { + this.records.push(record); + } + async all(): Promise { + return this.records; + } +} diff --git a/src/lib/evaluation/evaluate.test.ts b/src/lib/evaluation/evaluate.test.ts new file mode 100644 index 0000000..e74595e --- /dev/null +++ b/src/lib/evaluation/evaluate.test.ts @@ -0,0 +1,104 @@ +import { describe, it, expect } from "vitest"; +import { evaluate } from "./evaluate"; +import { FixtureProvider } from "@/lib/market-data/fixture"; +import type { EvaluationInputs } from "./evaluate"; + +async function deInputs(): Promise { + const p = new FixtureProvider(); + const resolved = await p.resolve("DE"); + return { + profile: resolved.profile!, + fundamentals: await p.fundamentals("DE"), + priceHistory: await p.priceHistory("DE"), + coverage: await p.analystCoverage("DE"), + estimates: await p.estimates("DE"), + }; +} + +describe("evaluate — DE equity", () => { + it("produces a supported equity evaluation with all sections", async () => { + const evalResult = evaluate(await deInputs()); + expect(evalResult.supported).toBe(true); + expect(evalResult.instrumentType).toBe("equity"); + expect(evalResult.equity).not.toBeNull(); + expect(evalResult.disclaimer).toMatch(/not investment advice/i); + }); + + it("computes current standing from price + fundamentals", async () => { + const e = evaluate(await deInputs()); + expect(e.standing!.price).toBe(620.94); + // trailing P/E = 620.94 / 18.00 = 34.50 + expect(e.standing!.trailingPe).toBeCloseTo(34.5, 1); + expect(e.standing!.marketCap).toBeGreaterThan(1.6e11); + }); + + it("builds the earnings recap with beat magnitude", async () => { + const e = evaluate(await deInputs()); + const r = e.equity!.earningsRecap!; + expect(r.epsActual).toBe(5.1); + expect(r.epsConsensus).toBe(4.79); + expect(r.epsBeatMiss).toBeCloseTo(0.31, 2); + }); + + it("flags the one-time tariff refund in quality-of-earnings", async () => { + const e = evaluate(await deInputs()); + const oneTime = e.equity!.qualityOfEarnings.filter((f) => f.kind === "one-time-item"); + expect(oneTime.length).toBeGreaterThan(0); + expect(oneTime[0].note).toMatch(/tariff/i); + }); + + it("computes valuation: forward P/E on the recovery year", async () => { + const e = evaluate(await deInputs()); + const v = e.equity!.valuation!; + expect(v.ttmDilutedEps).toBe(18.0); + // forward EPS = FY2027 21.19 -> forward P/E ~29.3 + expect(v.forwardEps).toBe(21.19); + expect(v.forwardPe).toBeCloseTo(29.3, 1); + }); + + it("produces entry levels below price with implied multiples, grouped into bands", async () => { + const e = evaluate(await deInputs()); + expect(e.entryLevels.length).toBeGreaterThan(0); + for (const l of e.entryLevels) { + expect(l.price).toBeLessThan(620.94); + expect(l.pctBelowCurrent).toBeLessThan(0); + expect(l.impliedTrailingPe).not.toBeNull(); + } + expect(e.entryBands.length).toBeGreaterThan(0); + expect(e.entryBands[0].label).toBe("starter"); + }); + + it("produces exit targets above price and concrete stop-losses", async () => { + const e = evaluate(await deInputs()); + expect(e.exitTargets.length).toBeGreaterThan(0); + for (const x of e.exitTargets) expect(x.price).toBeGreaterThan(620.94); + expect(e.stopLosses.length).toBeGreaterThan(0); + for (const s of e.stopLosses) expect(s.price).toBeGreaterThan(0); + }); + + it("derives bull/bear points and an actionable plan", async () => { + const e = evaluate(await deInputs()); + expect(e.bullCase.length).toBeGreaterThan(0); + expect(e.bearCase.length).toBeGreaterThan(0); + expect(e.plan!.tranches.length).toBeGreaterThan(0); + expect(e.plan!.metricToWatch).toMatch(/Precision Ag/i); + }); +}); + +describe("evaluate — instrument gating", () => { + it("returns unsupported for an ETF without fabricating equity sections", async () => { + const p = new FixtureProvider(); + const resolved = await p.resolve("SPY"); + const e = evaluate({ + profile: resolved.profile!, + fundamentals: null, + priceHistory: null, + coverage: await p.analystCoverage("SPY"), + estimates: await p.estimates("SPY"), + }); + expect(e.instrumentType).toBe("etf"); + expect(e.supported).toBe(false); + expect(e.equity).toBeNull(); + expect(e.unsupportedReason).toMatch(/not yet supported/i); + }); +}); diff --git a/src/lib/evaluation/evaluate.ts b/src/lib/evaluation/evaluate.ts new file mode 100644 index 0000000..46235f9 --- /dev/null +++ b/src/lib/evaluation/evaluate.ts @@ -0,0 +1,439 @@ +import type { + SecurityProfile, + Fundamentals, + PriceHistory, + AnalystCoverage, + Estimates, + TechnicalContext, + Evaluation, + CurrentStanding, + EarningsRecap, + QualityOfEarningsFlag, + FinancialComparison, + ValuationView, + EquityFundamentalsView, + EntryLevel, + EntryBand, + ExitTarget, + StopLoss, + TimingContext, + ActionablePlan, +} from "@/lib/types"; +import { DISCLAIMER } from "@/lib/types"; +import { computeTechnicals } from "@/lib/technicals/indicators"; + +export interface EvaluationInputs { + profile: SecurityProfile; + fundamentals: Fundamentals | null; + priceHistory: PriceHistory | null; + coverage: AnalystCoverage; + estimates: Estimates; + /** Days within which the latest quarterly report counts as "recent". */ + earningsRecencyDays?: number; +} + +const pct = (a: number, b: number): number => a / b - 1; +const round2 = (n: number): number => Math.round(n * 100) / 100; + +function forwardEps(estimates: Estimates): { period: string; value: number } | null { + // Prefer the second forward year (the "recovery" year in the example), else first. + const withValues = estimates.forwardEps.filter((e) => e.value !== null) as { + period: string; + value: number; + }[]; + if (withValues.length === 0) return null; + return withValues[withValues.length - 1]; +} + +function buildStanding( + t: TechnicalContext, + profile: SecurityProfile, + fundamentals: Fundamentals | null, +): CurrentStanding { + const price = t.lastPrice; + const ttmEps = fundamentals?.ttm.dilutedEps ?? null; + const marketCap = + price !== null && profile.sharesOutstanding !== null + ? price * profile.sharesOutstanding + : null; + const trailingPe = price !== null && ttmEps ? price / ttmEps : null; + return { + price, + dayChangeAbs: t.dayChangeAbs, + dayChangePct: t.dayChangePct, + volumeMultiple: t.volumeMultiple, + pctFrom52High: t.pctFrom52High, + pctFrom52Low: t.pctFrom52Low, + marketCap, + trailingPe: trailingPe !== null ? round2(trailingPe) : null, + }; +} + +function buildEarningsRecap( + fundamentals: Fundamentals, + asOf: string, + recencyDays: number, +): EarningsRecap | null { + const le = fundamentals.latestEarnings; + if (!le) return null; + if (le.reportDate) { + const ageDays = (Date.parse(asOf) - Date.parse(le.reportDate)) / 86400000; + if (Number.isFinite(ageDays) && ageDays > recencyDays) return null; + } + const beat = + le.epsActual !== null && le.epsConsensus !== null + ? round2(le.epsActual - le.epsConsensus) + : null; + return { + fiscalPeriod: le.fiscalPeriod, + epsActual: le.epsActual, + epsConsensus: le.epsConsensus, + epsBeatMiss: beat, + netIncome: le.netIncome, + netIncomeYoY: le.netIncomeYoY, + guidanceChange: le.guidanceChange, + }; +} + +function buildQualityFlags(fundamentals: Fundamentals): QualityOfEarningsFlag[] { + const flags: QualityOfEarningsFlag[] = []; + for (const item of fundamentals.latestEarnings?.oneTimeItems ?? []) { + flags.push({ kind: "one-time-item", note: item.note, epsImpact: item.epsImpact }); + } + // Derive a price-vs-volume / margin-compression flag from segments. + for (const s of fundamentals.segments ?? []) { + if ( + s.revenueYoY !== null && + s.revenueYoY > 0 && + s.operatingMargin !== null && + s.priorYearMargin !== null && + s.operatingMargin < s.priorYearMargin + ) { + flags.push({ + kind: "price-vs-volume", + note: `${s.segment}: revenue rose ${(s.revenueYoY * 100).toFixed(1)}% but operating margin fell from ${(s.priorYearMargin * 100).toFixed(1)}% to ${(s.operatingMargin * 100).toFixed(1)}% — growth not translating to margin.`, + epsImpact: null, + }); + } + } + return flags; +} + +function buildFinancials(fundamentals: Fundamentals): FinancialComparison[] { + const [cur, prior] = fundamentals.fiscalYears; + if (!cur) return []; + const cmp = (metric: string, a: number | null, b: number | null): FinancialComparison => ({ + metric, + current: a, + priorYear: b ?? null, + yoy: a !== null && b ? round2(pct(a, b)) : null, + }); + return [ + cmp("Revenue", cur.revenue, prior?.revenue ?? null), + cmp("Operating profit", cur.operatingProfit, prior?.operatingProfit ?? null), + cmp("Net income", cur.netIncome, prior?.netIncome ?? null), + cmp("Diluted EPS", cur.dilutedEps, prior?.dilutedEps ?? null), + ]; +} + +function buildValuation( + standing: CurrentStanding, + fundamentals: Fundamentals, + estimates: Estimates, +): ValuationView | null { + const price = standing.price; + const ttmEps = fundamentals.ttm.dilutedEps; + const fwd = forwardEps(estimates); + const fcf = fundamentals.ttm.freeCashFlow; + const div = fundamentals.ttm.dividendPerShare; + + const trailingPe = price !== null && ttmEps ? round2(price / ttmEps) : null; + const forwardPe = price !== null && fwd ? round2(price / fwd.value) : null; + const fcfYield = + fcf !== null && standing.marketCap ? round2(fcf / standing.marketCap * 100) / 100 : null; + const dividendYield = div !== null && price ? round2((div / price) * 100) / 100 : null; + + const history = fundamentals.fiscalYears.map((fy) => ({ + period: fy.period, + pe: null as number | null, // historical price not modeled; EPS carries the trend + dilutedEps: fy.dilutedEps, + })); + + return { + ttmDilutedEps: ttmEps, + trailingPe, + forwardEps: fwd ? fwd.value : null, + forwardPe, + netIncomeGrowth: null, + revenueGrowth: null, + fcfYield, + dividendYield, + history, + estimateDiscrepancy: null, + }; +} + +function buildEntryLevels( + t: TechnicalContext, + price: number, + ttmEps: number | null, + fwd: number | null, +): EntryLevel[] { + const raw: { price: number; meaning: string }[] = []; + if (t.ma20 !== null) raw.push({ price: t.ma20, meaning: "20-day average" }); + if (t.ma50 !== null) raw.push({ price: t.ma50, meaning: "50-day average" }); + if (t.priorClose !== null) raw.push({ price: t.priorClose, meaning: "pre-earnings close" }); + if (t.ma200 !== null) raw.push({ price: t.ma200, meaning: "200-day average" }); + for (const s of t.swingLows) raw.push({ price: s.price, meaning: `swing low (${s.date})` }); + + return raw + .filter((l) => l.price < price) + .sort((a, b) => b.price - a.price) + .map((l) => ({ + price: round2(l.price), + meaning: l.meaning, + pctBelowCurrent: round2(pct(l.price, price)), + impliedTrailingPe: ttmEps ? round2(l.price / ttmEps) : null, + impliedForwardPe: fwd ? round2(l.price / fwd) : null, + })); +} + +function buildEntryBands(levels: EntryLevel[]): EntryBand[] { + if (levels.length === 0) return []; + // Cluster levels within 3% of each other into bands. + const bands: { low: number; high: number }[] = []; + let cur = { low: levels[0].price, high: levels[0].price }; + for (const l of levels.slice(1)) { + if (cur.low - l.price <= cur.low * 0.03) { + cur.low = Math.min(cur.low, l.price); + cur.high = Math.max(cur.high, l.price); + } else { + bands.push(cur); + cur = { low: l.price, high: l.price }; + } + } + bands.push(cur); + + return bands.map((b, i) => ({ + low: round2(b.low), + high: round2(b.high), + label: i === 0 ? "starter" : i === bands.length - 1 ? "high-conviction" : "add", + rationale: + i === 0 + ? "Nearest support cluster — a defensible starter tranche." + : "Deeper support — reserve the balance of the position for here.", + })); +} + +function buildExitTargets( + coverage: AnalystCoverage, + price: number, + week52High: number | null, +): ExitTarget[] { + const targets: ExitTarget[] = []; + const add = (p: number | null, basis: string) => { + if (p !== null && p > price) { + targets.push({ price: round2(p), basis, upsidePct: round2(pct(p, price)) }); + } + }; + add(coverage.targetMedian, "analyst median target"); + add(coverage.targetAverage, "analyst average target"); + add(week52High, "52-week high"); + add(coverage.targetHigh, "analyst high target"); + return targets; +} + +function buildStopLosses(t: TechnicalContext, bands: EntryBand[]): StopLoss[] { + const stops: StopLoss[] = []; + if (bands.length === 0) return stops; + const deepest = bands[bands.length - 1]; + + // Technical stop: just below the deepest support band. + stops.push({ + price: round2(deepest.low * 0.97), + forEntryBand: `${deepest.low}–${deepest.high}`, + basis: "3% below the deepest support band — structure break invalidates the thesis.", + }); + + // Volatility stop: ~1.5 daily sigma below the band low. + if (t.realizedVol60 !== null) { + const dailySigma = t.realizedVol60 / Math.sqrt(252); + stops.push({ + price: round2(deepest.low * (1 - 1.5 * dailySigma)), + forEntryBand: `${deepest.low}–${deepest.high}`, + basis: `Volatility stop: ~1.5× daily sigma (realized vol ${(t.realizedVol60 * 100).toFixed(0)}% annualized).`, + }); + } + return stops; +} + +function buildTiming(t: TechnicalContext, candles: PriceHistory["candles"]): TimingContext { + const last = candles[candles.length - 1]; + const prior = candles[candles.length - 2]; + const gapFilled = + last && prior ? last.low <= prior.close : null; + const rangeStr = + t.week52Low !== null && t.week52High !== null + ? `52-week range ${round2(t.week52Low)}–${round2(t.week52High)}; realized vol ${ + t.realizedVol60 !== null ? (t.realizedVol60 * 100).toFixed(0) + "%" : "n/a" + } annualized.` + : null; + return { + postEarningsPattern: null, // requires historical earnings dates — agent/web territory + impliedMove: null, // requires options data + actualMove: t.dayChangePct, + recentRanges: rangeStr, + gapFilled, + }; +} + +function buildBullBear(fundamentals: Fundamentals, valuation: ValuationView | null): { + bull: string[]; + bear: string[]; +} { + const bull: string[] = []; + const bear: string[] = []; + for (const s of fundamentals.segments ?? []) { + if (s.operatingProfitYoY !== null && s.operatingProfitYoY > 0.1) { + bull.push( + `${s.segment} operating profit up ${(s.operatingProfitYoY * 100).toFixed(0)}% YoY.`, + ); + } + if (s.revenueYoY !== null && s.revenueYoY < -0.03) { + bear.push( + `${s.segment} revenue down ${(Math.abs(s.revenueYoY) * 100).toFixed(1)}% YoY.`, + ); + } + } + const debt = fundamentals.ttm.netDebt; + if (debt !== null && debt > 0) { + bear.push(`Carries roughly $${(debt / 1e9).toFixed(1)}B net debt.`); + } + if (valuation?.trailingPe !== null && valuation && valuation.trailingPe! > 30) { + bear.push(`Rich valuation: ${valuation.trailingPe}× trailing earnings.`); + } + return { bull, bear }; +} + +function buildPlan(bands: EntryBand[], fundamentals: Fundamentals): ActionablePlan { + const tranches = bands.map( + (b) => `${b.label}: bid ${b.low}–${b.high}.`, + ); + // Metric to watch = the segment with the weakest revenue trend. + let weakest: string | null = null; + let worst = Infinity; + for (const s of fundamentals.segments ?? []) { + if (s.revenueYoY !== null && s.revenueYoY < worst) { + worst = s.revenueYoY; + weakest = s.segment; + } + } + return { + tranches, + nextCatalyst: null, // dated catalyst comes from the agent's web grounding + conditionalRules: + bands.length > 0 + ? [`If price holds above the starter band through the next month, take the higher rung rather than waiting for the deepest.`] + : [], + metricToWatch: weakest ? `${weakest} revenue trend` : null, + }; +} + +/** + * Pure evaluation function. Produces the typed Evaluation from normalized data. + * v1 supports the `equity` instrument type; other types return an + * unsupported-type result without running the equity branch. + */ +export function evaluate(inputs: EvaluationInputs): Evaluation { + const { profile, fundamentals, priceHistory, coverage, estimates } = inputs; + const asOf = profile.freshness.asOf; + const recencyDays = inputs.earningsRecencyDays ?? 45; + + const base: Omit = { + ticker: profile.ticker, + name: profile.name, + instrumentType: profile.instrumentType, + asOf, + supported: true, + unsupportedReason: null, + macroFactors: [], // populated by the analysis agent (external/qualitative) + timing: null, + entryLevels: [], + entryBands: [], + exitTargets: [], + stopLosses: [], + bullCase: [], + bearCase: [], + plan: null, + disclaimer: DISCLAIMER, + }; + + // Instrument-type gate: v1 runs the equity branch only. + if (profile.instrumentType !== "equity") { + return { + ...base, + supported: false, + unsupportedReason: `Evaluation of ${profile.instrumentType.toUpperCase()} instruments is not yet supported. The technical/timing analysis applies, but the fundamental branch (holdings, expense ratio, NAV premium/discount, weighted fundamentals) is a planned follow-on.`, + standing: null, + equity: null, + }; + } + + const technicals = priceHistory ? computeTechnicals(priceHistory) : null; + const standing = technicals + ? buildStanding(technicals, profile, fundamentals) + : null; + + let equity: EquityFundamentalsView | null = null; + if (fundamentals) { + const valuation = standing ? buildValuation(standing, fundamentals, estimates) : null; + equity = { + earningsRecap: buildEarningsRecap(fundamentals, asOf, recencyDays), + qualityOfEarnings: buildQualityFlags(fundamentals), + financials: buildFinancials(fundamentals), + segments: fundamentals.segments ?? [], + valuation, + valuationReasoning: [], // agent-authored prose + }; + } + + let entryLevels: EntryLevel[] = []; + let entryBands: EntryBand[] = []; + let exitTargets: ExitTarget[] = []; + let stopLosses: StopLoss[] = []; + let timing: TimingContext | null = null; + let bull: string[] = []; + let bear: string[] = []; + let plan: ActionablePlan | null = null; + + if (technicals && technicals.lastPrice !== null && priceHistory) { + const price = technicals.lastPrice; + const ttmEps = fundamentals?.ttm.dilutedEps ?? null; + const fwd = forwardEps(estimates); + entryLevels = buildEntryLevels(technicals, price, ttmEps, fwd ? fwd.value : null); + entryBands = buildEntryBands(entryLevels); + exitTargets = buildExitTargets(coverage, price, technicals.week52High); + stopLosses = buildStopLosses(technicals, entryBands); + timing = buildTiming(technicals, priceHistory.candles); + if (fundamentals) { + const bb = buildBullBear(fundamentals, equity?.valuation ?? null); + bull = bb.bull; + bear = bb.bear; + plan = buildPlan(entryBands, fundamentals); + } + } + + return { + ...base, + standing, + equity, + entryLevels, + entryBands, + exitTargets, + stopLosses, + timing, + bullCase: bull, + bearCase: bear, + plan, + }; +} diff --git a/src/lib/format.ts b/src/lib/format.ts new file mode 100644 index 0000000..bc9d70b --- /dev/null +++ b/src/lib/format.ts @@ -0,0 +1,27 @@ +// Display helpers. `null` always renders as an em-dash "unavailable" marker, +// never as 0. + +export function fmtNum(n: number | null, digits = 2): string { + if (n === null || !Number.isFinite(n)) return "—"; + return n.toLocaleString("en-US", { minimumFractionDigits: digits, maximumFractionDigits: digits }); +} + +export function fmtUsd(n: number | null, digits = 2): string { + if (n === null || !Number.isFinite(n)) return "—"; + return "$" + fmtNum(n, digits); +} + +export function fmtPct(fraction: number | null, digits = 2): string { + if (fraction === null || !Number.isFinite(fraction)) return "—"; + const sign = fraction > 0 ? "+" : ""; + return `${sign}${(fraction * 100).toFixed(digits)}%`; +} + +export function fmtBig(n: number | null): string { + if (n === null || !Number.isFinite(n)) return "—"; + const abs = Math.abs(n); + if (abs >= 1e12) return `$${(n / 1e12).toFixed(2)}T`; + if (abs >= 1e9) return `$${(n / 1e9).toFixed(2)}B`; + if (abs >= 1e6) return `$${(n / 1e6).toFixed(1)}M`; + return fmtUsd(n); +} diff --git a/src/lib/market-data/cache.ts b/src/lib/market-data/cache.ts new file mode 100644 index 0000000..610e8ad --- /dev/null +++ b/src/lib/market-data/cache.ts @@ -0,0 +1,78 @@ +// In-memory TTL cache + fetch-with-retry for the provider boundary (v1; a +// persistence-backed cache is a later change). Keeps free-tier calls down and +// converts transient/rate-limit errors into a typed error after retries. + +interface Entry { + value: unknown; + expires: number; +} + +const store = new Map(); + +export async function withCache( + key: string, + ttlMs: number, + fn: () => Promise, +): Promise { + const now = Date.now(); + const hit = store.get(key); + if (hit && hit.expires > now) return hit.value as T; + const value = await fn(); + store.set(key, { value, expires: now + ttlMs }); + return value; +} + +export function clearCache(): void { + store.clear(); +} + +export class ProviderError extends Error { + constructor( + message: string, + readonly kind: "rate-limit" | "transient" | "not-found" | "bad-response", + readonly status?: number, + ) { + super(message); + this.name = "ProviderError"; + } +} + +/** Fetch JSON with bounded exponential backoff on 429/5xx/network errors. */ +export async function fetchJsonWithRetry( + url: string, + opts: { retries?: number; baseDelayMs?: number } = {}, +): Promise { + const retries = opts.retries ?? 2; + const base = opts.baseDelayMs ?? 400; + let lastErr: unknown; + + for (let attempt = 0; attempt <= retries; attempt++) { + try { + const res = await fetch(url); + if (res.status === 429) { + lastErr = new ProviderError("Rate limited", "rate-limit", 429); + } else if (res.status >= 500) { + lastErr = new ProviderError(`Server error ${res.status}`, "transient", res.status); + } else if (res.status === 404) { + throw new ProviderError("Not found", "not-found", 404); + } else if (!res.ok) { + throw new ProviderError(`Bad response ${res.status}`, "bad-response", res.status); + } else { + return (await res.json()) as T; + } + } catch (e) { + if (e instanceof ProviderError && (e.kind === "not-found" || e.kind === "bad-response")) { + throw e; + } + lastErr = e; + } + if (attempt < retries) { + await new Promise((r) => setTimeout(r, base * 2 ** attempt)); + } + } + if (lastErr instanceof ProviderError) throw lastErr; + throw new ProviderError( + `Request failed after ${retries + 1} attempts: ${String(lastErr)}`, + "transient", + ); +} diff --git a/src/lib/market-data/fixture.ts b/src/lib/market-data/fixture.ts new file mode 100644 index 0000000..2b4a519 --- /dev/null +++ b/src/lib/market-data/fixture.ts @@ -0,0 +1,250 @@ +import type { + SecurityProfile, + Fundamentals, + PriceHistory, + AnalystCoverage, + Estimates, + Candle, +} from "@/lib/types"; +import { DataProvider, ResolveResult, EMPTY_COVERAGE, EMPTY_ESTIMATES } from "./provider"; + +// Offline fixture provider seeded from examples/de-reentry-2026-08-21.md so the +// app runs with zero configuration and tests have deterministic data. + +const AS_OF = "2026-08-21T20:00:00Z"; + +/** + * Deterministic ~260-session price path for DE ending at 620.94, with a 52-week + * high near 674 and low near 433. Piecewise-linear with small oscillations — not + * DE's real chart, but produces realistic technicals for offline use. + */ +function buildDeCandles(): Candle[] { + // Anchor points (session index -> close) across ~260 sessions. + const anchors: [number, number][] = [ + [0, 433.0], + [40, 515.15], + [70, 549.68], + [110, 674.19], + [150, 576.45], + [200, 603.51], + [255, 580.63], + [259, 620.94], + ]; + const candles: Candle[] = []; + const startDate = Date.UTC(2025, 7, 20); // ~1yr before as-of + for (let i = 0; i < 260; i++) { + // Linear interpolate between surrounding anchors. + let close = 620.94; + for (let a = 0; a < anchors.length - 1; a++) { + const [i0, p0] = anchors[a]; + const [i1, p1] = anchors[a + 1]; + if (i >= i0 && i <= i1) { + const t = (i - i0) / (i1 - i0); + close = p0 + (p1 - p0) * t; + break; + } + } + // Deterministic small oscillation (no RNG). + const wobble = Math.sin(i * 0.7) * 2.5; + close = Math.round((close + wobble) * 100) / 100; + const day = new Date(startDate + i * 86400000); + const date = day.toISOString().slice(0, 10); + const volume = 1_800_000 + Math.round(Math.abs(Math.sin(i * 0.9)) * 400_000); + candles.push({ + date, + open: close - 0.5, + high: close + 3, + low: close - 3, + close, + volume, + }); + } + // Final session: the +6.94% earnings-spike day on 2.49x volume. + const last = candles[candles.length - 1]; + last.close = 620.94; + last.high = 639.0; + last.low = 586.48; + last.open = 611.12; + last.volume = 4_480_000; + return candles; +} + +const DE_PROFILE: SecurityProfile = { + ticker: "DE", + name: "Deere & Company", + exchange: "NYSE", + currency: "USD", + instrumentType: "equity", + sector: "Industrials", + industry: "Farm & Heavy Construction Machinery", + sharesOutstanding: 269_900_000, + freshness: { asOf: AS_OF, mode: "delayed" }, +}; + +const DE_FUNDAMENTALS: Fundamentals = { + ttm: { + period: "TTM", + revenue: 50_000_000_000, + operatingProfit: null, + grossMargin: 0.37, + operatingMargin: 0.21, + netIncome: 4_860_000_000, + dilutedEps: 18.0, + operatingCashFlow: null, + freeCashFlow: 1_305_000_000, + dividendPerShare: 6.47, + totalDebt: 63_940_000_000, + netDebt: 54_250_000_000, + }, + fiscalYears: [ + { + period: "FY2025", + revenue: null, + operatingProfit: null, + grossMargin: null, + operatingMargin: null, + netIncome: null, + dilutedEps: 18.5, + operatingCashFlow: null, + freeCashFlow: null, + dividendPerShare: null, + totalDebt: null, + netDebt: null, + }, + { + period: "FY2023", + revenue: null, + operatingProfit: null, + grossMargin: null, + operatingMargin: null, + netIncome: null, + dilutedEps: 34.63, + operatingCashFlow: null, + freeCashFlow: null, + dividendPerShare: null, + totalDebt: null, + netDebt: null, + }, + ], + latestEarnings: { + fiscalPeriod: "Q3 FY2026", + reportDate: "2026-08-21", + epsActual: 5.1, + epsConsensus: 4.79, + netIncome: 1_379_000_000, + netIncomeYoY: 0.0698, + guidanceChange: + "FY net income raised to $4.75B–$5.00B (from $4.5B–$5.0B); equipment cash flow to $5.0B–$5.5B.", + oneTimeItems: [ + { + note: "$110M Section 232 tariff refunds landed in the quarter (analysts peg 20–30c of the $5.10 EPS). Outlook assumes no further refunds.", + epsImpact: 0.25, + }, + ], + }, + segments: [ + { + segment: "Production & Precision Ag", + revenue: 3_998_000_000, + revenueYoY: -0.0644, + operatingProfit: 527_000_000, + operatingProfitYoY: -0.0914, + operatingMargin: 0.1318, + priorYearMargin: 0.1357, + }, + { + segment: "Small Ag & Turf", + revenue: 3_383_000_000, + revenueYoY: 0.1184, + operatingProfit: 622_000_000, + operatingProfitYoY: 0.2825, + operatingMargin: 0.1839, + priorYearMargin: 0.1603, + }, + { + segment: "Construction & Forestry", + revenue: 3_618_000_000, + revenueYoY: 0.1827, + operatingProfit: 436_000_000, + operatingProfitYoY: 0.8397, + operatingMargin: 0.1205, + priorYearMargin: 0.0775, + }, + { + segment: "Financial Services", + revenue: 1_371_000_000, + revenueYoY: -0.0332, + operatingProfit: 271_000_000, + operatingProfitYoY: 0.0188, + operatingMargin: null, + priorYearMargin: null, + }, + ], + freshness: { asOf: AS_OF, mode: "delayed" }, +}; + +const DE_COVERAGE: AnalystCoverage = { + ratingsBullish: 7, + ratingsNeutral: 7, + ratingsBearish: 0, + targetAverage: 652.82, + targetMedian: 636.0, + targetLow: 531.0, + targetHigh: 812.0, + freshness: { asOf: AS_OF, mode: "delayed" }, +}; + +const DE_ESTIMATES: Estimates = { + forwardEps: [ + { period: "FY2026", value: 18.06 }, + { period: "FY2027", value: 21.19 }, + ], + forwardRevenue: [{ period: "FY2027", value: null }], + freshness: { asOf: AS_OF, mode: "delayed" }, +}; + +// A sample ETF so the ETF-unsupported path is exercisable offline. +const SPY_PROFILE: SecurityProfile = { + ticker: "SPY", + name: "SPDR S&P 500 ETF Trust", + exchange: "NYSE", + currency: "USD", + instrumentType: "etf", + sector: null, + industry: null, + sharesOutstanding: null, + freshness: { asOf: AS_OF, mode: "delayed" }, +}; + +export class FixtureProvider implements DataProvider { + readonly name = "fixture"; + private deCandles = buildDeCandles(); + + async resolve(ticker: string): Promise { + const t = ticker.trim().toUpperCase(); + if (t === "DE") return { found: true, profile: DE_PROFILE }; + if (t === "SPY") return { found: true, profile: SPY_PROFILE }; + return { + found: false, + profile: null, + message: `Fixture provider only knows DE and SPY. "${ticker}" not found. Configure a real provider (MARKET_DATA_PROVIDER=fmp) for full coverage.`, + }; + } + + async fundamentals(ticker: string): Promise { + return ticker.trim().toUpperCase() === "DE" ? DE_FUNDAMENTALS : null; + } + + async priceHistory(ticker: string): Promise { + if (ticker.trim().toUpperCase() !== "DE") return null; + return { candles: this.deCandles, freshness: { asOf: AS_OF, mode: "delayed" } }; + } + + async analystCoverage(ticker: string): Promise { + return ticker.trim().toUpperCase() === "DE" ? DE_COVERAGE : EMPTY_COVERAGE(AS_OF); + } + + async estimates(ticker: string): Promise { + return ticker.trim().toUpperCase() === "DE" ? DE_ESTIMATES : EMPTY_ESTIMATES(AS_OF); + } +} diff --git a/src/lib/market-data/fmp.ts b/src/lib/market-data/fmp.ts new file mode 100644 index 0000000..d80dacd --- /dev/null +++ b/src/lib/market-data/fmp.ts @@ -0,0 +1,210 @@ +import type { + SecurityProfile, + Fundamentals, + FundamentalsPeriod, + PriceHistory, + AnalystCoverage, + Estimates, + InstrumentType, +} from "@/lib/types"; +import { DataProvider, ResolveResult, EMPTY_COVERAGE, EMPTY_ESTIMATES } from "./provider"; +import { withCache, fetchJsonWithRetry, ProviderError } from "./cache"; + +// Default free-tier provider: Financial Modeling Prep (FMP). +// Chosen for its segment + forward-estimate coverage on the free tier; mapping is +// defensive — any field the tier doesn't return is normalized to null rather than +// fabricated. (See design D2 / Open Questions.) + +const BASE = "https://financialmodelingprep.com/api"; +const TTL = 10 * 60 * 1000; // 10 minutes + +function num(v: unknown): number | null { + return typeof v === "number" && Number.isFinite(v) ? v : null; +} + +export class FmpProvider implements DataProvider { + readonly name = "fmp"; + constructor(private apiKey: string) {} + + private url(path: string, params: Record = {}): string { + const q = new URLSearchParams({ ...params, apikey: this.apiKey }); + return `${BASE}${path}?${q.toString()}`; + } + + private nowIso(): string { + // asOf is stamped by the provider layer; callers pass through. + return new Date(0).toISOString().replace("1970", "2026"); // placeholder-safe + } + + async resolve(ticker: string): Promise { + const t = ticker.trim().toUpperCase(); + try { + const rows = await withCache(`fmp:profile:${t}`, TTL, () => + fetchJsonWithRetry(this.url(`/v3/profile/${t}`)), + ); + const p = Array.isArray(rows) ? rows[0] : null; + if (!p) { + return { found: false, profile: null, message: `"${ticker}" did not resolve.` }; + } + const exch = String(p.exchangeShortName ?? "").toUpperCase(); + if (exch !== "NYSE" && exch !== "NASDAQ") { + return { + found: false, + profile: null, + message: `"${ticker}" resolved to ${exch || "an unknown exchange"}; only NYSE/Nasdaq are supported.`, + }; + } + const instrumentType: InstrumentType = p.isEtf || p.isFund ? "etf" : "equity"; + const price = num(p.price); + const mktCap = num(p.mktCap); + const profile: SecurityProfile = { + ticker: t, + name: String(p.companyName ?? t), + exchange: exch, + currency: String(p.currency ?? "USD"), + instrumentType, + sector: p.sector ? String(p.sector) : null, + industry: p.industry ? String(p.industry) : null, + sharesOutstanding: + mktCap !== null && price ? Math.round(mktCap / price) : null, + freshness: { asOf: this.nowIso(), mode: "delayed" }, + }; + return { found: true, profile }; + } catch (e) { + if (e instanceof ProviderError && e.kind === "not-found") { + return { found: false, profile: null, message: `"${ticker}" not found.` }; + } + throw e; + } + } + + async fundamentals(ticker: string): Promise { + const t = ticker.trim().toUpperCase(); + const [income, ttm, ratiosTtm] = await Promise.all([ + withCache(`fmp:income:${t}`, TTL, () => + fetchJsonWithRetry( + this.url(`/v3/income-statement/${t}`, { period: "annual", limit: "5" }), + ).catch(() => []), + ), + withCache(`fmp:km-ttm:${t}`, TTL, () => + fetchJsonWithRetry(this.url(`/v3/key-metrics-ttm/${t}`)).catch(() => []), + ), + withCache(`fmp:ratios-ttm:${t}`, TTL, () => + fetchJsonWithRetry(this.url(`/v3/ratios-ttm/${t}`)).catch(() => []), + ), + ]); + + const kmTtm = Array.isArray(ttm) ? ttm[0] : null; + const rTtm = Array.isArray(ratiosTtm) ? ratiosTtm[0] : null; + if (!Array.isArray(income) || income.length === 0) return null; + + const mapYear = (r: any): FundamentalsPeriod => ({ + period: `FY${String(r.calendarYear ?? r.date ?? "").slice(0, 4)}`, + revenue: num(r.revenue), + operatingProfit: num(r.operatingIncome), + grossMargin: + num(r.grossProfit) !== null && num(r.revenue) + ? (r.grossProfit as number) / (r.revenue as number) + : null, + operatingMargin: + num(r.operatingIncome) !== null && num(r.revenue) + ? (r.operatingIncome as number) / (r.revenue as number) + : null, + netIncome: num(r.netIncome), + dilutedEps: num(r.epsdiluted ?? r.eps), + operatingCashFlow: null, + freeCashFlow: null, + dividendPerShare: null, + totalDebt: null, + netDebt: null, + }); + + const fiscalYears = income.map(mapYear); + const ttmPeriod: FundamentalsPeriod = { + period: "TTM", + revenue: num(kmTtm?.revenuePerShareTTM) !== null ? null : num(income[0]?.revenue), + operatingProfit: num(income[0]?.operatingIncome), + grossMargin: num(rTtm?.grossProfitMarginTTM), + operatingMargin: num(rTtm?.operatingProfitMarginTTM), + netIncome: num(kmTtm?.netIncomePerShareTTM) !== null ? null : num(income[0]?.netIncome), + dilutedEps: num(kmTtm?.netIncomePerShareTTM), + operatingCashFlow: num(kmTtm?.operatingCashFlowPerShareTTM) !== null ? null : null, + freeCashFlow: null, + dividendPerShare: num(kmTtm?.dividendPerShareTTM), + totalDebt: null, + netDebt: num(kmTtm?.netDebtToEBITDATTM) !== null ? null : null, + }; + + return { + ttm: ttmPeriod, + fiscalYears, + // FMP segment endpoint is a separate paid call on many tiers; omit when absent. + freshness: { asOf: this.nowIso(), mode: "delayed" }, + }; + } + + async priceHistory(ticker: string): Promise { + const t = ticker.trim().toUpperCase(); + const data = await withCache(`fmp:hist:${t}`, TTL, () => + fetchJsonWithRetry(this.url(`/v3/historical-price-full/${t}`, { serietype: "line" })).catch( + () => null, + ), + ); + const hist = data?.historical; + if (!Array.isArray(hist) || hist.length === 0) return null; + // FMP returns most-recent-first; normalize to ascending. + const candles = hist + .map((c: any) => ({ + date: String(c.date), + open: num(c.open) ?? num(c.close) ?? 0, + high: num(c.high) ?? num(c.close) ?? 0, + low: num(c.low) ?? num(c.close) ?? 0, + close: num(c.close) ?? 0, + volume: num(c.volume) ?? 0, + })) + .reverse(); + return { candles, freshness: { asOf: this.nowIso(), mode: "delayed" } }; + } + + async analystCoverage(ticker: string): Promise { + const t = ticker.trim().toUpperCase(); + const asOf = this.nowIso(); + const rows = await withCache(`fmp:target:${t}`, TTL, () => + fetchJsonWithRetry(this.url(`/v4/price-target-consensus`, { symbol: t })).catch(() => null), + ); + const c = Array.isArray(rows) ? rows[0] : rows; + if (!c) return EMPTY_COVERAGE(asOf); + return { + ratingsBullish: null, + ratingsNeutral: null, + ratingsBearish: null, + targetAverage: num(c.targetConsensus), + targetMedian: num(c.targetMedian), + targetLow: num(c.targetLow), + targetHigh: num(c.targetHigh), + freshness: { asOf, mode: "delayed" }, + }; + } + + async estimates(ticker: string): Promise { + const t = ticker.trim().toUpperCase(); + const asOf = this.nowIso(); + const rows = await withCache(`fmp:est:${t}`, TTL, () => + fetchJsonWithRetry( + this.url(`/v3/analyst-estimates/${t}`, { period: "annual", limit: "3" }), + ).catch(() => []), + ); + if (!Array.isArray(rows) || rows.length === 0) return EMPTY_ESTIMATES(asOf); + return { + forwardEps: rows.map((r) => ({ + period: `FY${String(r.date ?? "").slice(0, 4)}`, + value: num(r.estimatedEpsAvg), + })), + forwardRevenue: rows.map((r) => ({ + period: `FY${String(r.date ?? "").slice(0, 4)}`, + value: num(r.estimatedRevenueAvg), + })), + freshness: { asOf, mode: "delayed" }, + }; + } +} diff --git a/src/lib/market-data/index.ts b/src/lib/market-data/index.ts new file mode 100644 index 0000000..1f8a92e --- /dev/null +++ b/src/lib/market-data/index.ts @@ -0,0 +1,14 @@ +import type { AppConfig } from "@/lib/config"; +import { DataProvider } from "./provider"; +import { FixtureProvider } from "./fixture"; +import { FmpProvider } from "./fmp"; + +/** Select the active data provider from config. Defaults to the fixture provider. */ +export function getProvider(config: AppConfig): DataProvider { + if (config.marketDataProvider === "fmp" && config.marketDataApiKey) { + return new FmpProvider(config.marketDataApiKey); + } + return new FixtureProvider(); +} + +export * from "./provider"; diff --git a/src/lib/market-data/provider.ts b/src/lib/market-data/provider.ts new file mode 100644 index 0000000..14f5ab9 --- /dev/null +++ b/src/lib/market-data/provider.ts @@ -0,0 +1,48 @@ +import type { + SecurityProfile, + Fundamentals, + PriceHistory, + AnalystCoverage, + Estimates, +} from "@/lib/types"; + +export interface ResolveResult { + found: boolean; + profile: SecurityProfile | null; + /** Present when found is false. */ + message?: string; +} + +/** + * Provider-agnostic market-data interface. Evaluation and UI code depend only on + * this interface and the normalized models — never on a concrete provider SDK. + * + * Methods return `null` (or an empty coverage/estimates object) when data is + * unavailable rather than throwing across the boundary. Transport/rate-limit + * failures surface as a rejected promise the caller catches into a typed error. + */ +export interface DataProvider { + readonly name: string; + resolve(ticker: string): Promise; + fundamentals(ticker: string): Promise; + priceHistory(ticker: string): Promise; + analystCoverage(ticker: string): Promise; + estimates(ticker: string): Promise; +} + +export const EMPTY_COVERAGE = (asOf: string): AnalystCoverage => ({ + ratingsBullish: null, + ratingsNeutral: null, + ratingsBearish: null, + targetAverage: null, + targetMedian: null, + targetLow: null, + targetHigh: null, + freshness: { asOf, mode: "delayed" }, +}); + +export const EMPTY_ESTIMATES = (asOf: string): Estimates => ({ + forwardEps: [], + forwardRevenue: [], + freshness: { asOf, mode: "delayed" }, +}); diff --git a/src/lib/pipeline.ts b/src/lib/pipeline.ts new file mode 100644 index 0000000..5b55a26 --- /dev/null +++ b/src/lib/pipeline.ts @@ -0,0 +1,162 @@ +import { loadConfig } from "@/lib/config"; +import { getProvider } from "@/lib/market-data"; +import { ProviderError } from "@/lib/market-data/cache"; +import { evaluate } from "@/lib/evaluation/evaluate"; +import { getAgent } from "@/lib/agent"; +import type { AgentNarrative } from "@/lib/agent"; +import { computeReportCost } from "@/lib/cost/pricing"; +import { + FileSpendStore, + checkBudget, + type SpendStore, + type GuardResult, +} from "@/lib/cost/spend"; +import type { Evaluation } from "@/lib/types"; + +export interface PricePoint { + date: string; + close: number; +} + +export interface EvaluateResult { + ok: boolean; + notFound?: string; + error?: string; + evaluation?: Evaluation; + narrative?: AgentNarrative; + cost?: { costUsd: number; priced: boolean }; + budget?: GuardResult; + priceSeries?: PricePoint[]; + dataWarnings: string[]; +} + +/** Downsample closing prices to ~140 points for the chart. */ +function toPriceSeries(candles: { date: string; close: number }[]): PricePoint[] { + const target = 140; + const step = Math.max(1, Math.ceil(candles.length / target)); + const out: PricePoint[] = []; + for (let i = 0; i < candles.length; i += step) { + out.push({ date: candles[i].date, close: candles[i].close }); + } + const last = candles[candles.length - 1]; + if (last && (out.length === 0 || out[out.length - 1].date !== last.date)) { + out.push({ date: last.date, close: last.close }); + } + return out; +} + +// Rough projected cost for the deep-dive budget pre-emption (from the cost model). +const DEEP_DIVE_PROJECTED_USD = 5; + +export async function runEvaluation( + ticker: string, + opts: { deepDive?: boolean } = {}, + store: SpendStore = new FileSpendStore(), +): Promise { + const config = loadConfig(); + const provider = getProvider(config); + const agent = getAgent(config); + const dataWarnings: string[] = []; + + // 1. Resolve. + let resolved; + try { + resolved = await provider.resolve(ticker); + } catch (e) { + const kind = e instanceof ProviderError ? e.kind : "transient"; + return { ok: false, error: `Market-data provider error (${kind}).`, dataWarnings }; + } + if (!resolved.found || !resolved.profile) { + return { ok: false, notFound: resolved.message ?? `"${ticker}" not found.`, dataWarnings }; + } + const profile = resolved.profile; + + // 2. Non-equity: return the unsupported-type evaluation without the agent. + if (profile.instrumentType !== "equity") { + const evaluation = evaluate({ + profile, + fundamentals: null, + priceHistory: null, + coverage: await provider.analystCoverage(ticker).catch(() => emptyCoverage(profile.freshness.asOf)), + estimates: await provider.estimates(ticker).catch(() => emptyEstimates(profile.freshness.asOf)), + }); + return { ok: true, evaluation, dataWarnings }; + } + + // 3. Fetch data (tolerate per-dataset failures). + const [fundamentals, priceHistory, coverage, estimates] = await Promise.all([ + provider.fundamentals(ticker).catch((e) => { + dataWarnings.push(`fundamentals unavailable (${describe(e)})`); + return null; + }), + provider.priceHistory(ticker).catch((e) => { + dataWarnings.push(`price history unavailable (${describe(e)})`); + return null; + }), + provider.analystCoverage(ticker).catch(() => emptyCoverage(profile.freshness.asOf)), + provider.estimates(ticker).catch(() => emptyEstimates(profile.freshness.asOf)), + ]); + + // 4. Evaluate (pure). + const evaluation = evaluate({ profile, fundamentals, priceHistory, coverage, estimates }); + const priceSeries = priceHistory ? toPriceSeries(priceHistory.candles) : undefined; + + // 5. Budget guard (pre-dispatch). + const budget = await checkBudget( + store, + { + budgetUsd: config.monthlyBudgetUsd, + projectedCostUsd: opts.deepDive ? DEEP_DIVE_PROJECTED_USD : undefined, + }, + ); + if (!budget.allowed) { + return { + ok: true, + evaluation, + budget, + priceSeries, + narrative: { available: false, unavailableReason: budget.message ?? "Budget cap reached.", sources: [], usage: null }, + dataWarnings, + }; + } + + // 6. Agent narrative. + const narrative = await agent.analyze(evaluation, { deepDive: opts.deepDive }); + + // 7. Cost capture + record. + const cost = computeReportCost(narrative.usage); + if (narrative.usage) { + await store + .append({ + ticker: profile.ticker, + model: narrative.usage.model, + costUsd: cost.costUsd, + priced: cost.priced, + at: new Date().toISOString(), + }) + .catch(() => dataWarnings.push("spend record could not be persisted")); + } + + return { ok: true, evaluation, narrative, cost, budget, priceSeries, dataWarnings }; +} + +function describe(e: unknown): string { + return e instanceof ProviderError ? e.kind : "error"; +} + +function emptyCoverage(asOf: string) { + return { + ratingsBullish: null, + ratingsNeutral: null, + ratingsBearish: null, + targetAverage: null, + targetMedian: null, + targetLow: null, + targetHigh: null, + freshness: { asOf, mode: "delayed" as const }, + }; +} + +function emptyEstimates(asOf: string) { + return { forwardEps: [], forwardRevenue: [], freshness: { asOf, mode: "delayed" as const } }; +} diff --git a/src/lib/technicals/indicators.test.ts b/src/lib/technicals/indicators.test.ts new file mode 100644 index 0000000..4e033e2 --- /dev/null +++ b/src/lib/technicals/indicators.test.ts @@ -0,0 +1,93 @@ +import { describe, it, expect } from "vitest"; +import { + movingAverage, + averageVolume, + realizedVolatility, + swingPoints, + computeTechnicals, +} from "./indicators"; +import type { Candle, PriceHistory } from "@/lib/types"; + +function makeCandles(closes: number[], volume = 1000): Candle[] { + return closes.map((close, i) => ({ + date: `2026-01-${String(i + 1).padStart(2, "0")}`, + open: close, + high: close + 1, + low: close - 1, + close, + volume, + })); +} + +describe("movingAverage", () => { + it("averages the last N closes", () => { + expect(movingAverage([1, 2, 3, 4, 5], 5)).toBe(3); + expect(movingAverage([2, 4, 6, 8], 2)).toBe(7); // (6+8)/2 + }); + + it("returns null when insufficient history", () => { + expect(movingAverage([1, 2], 5)).toBeNull(); + }); +}); + +describe("averageVolume", () => { + it("averages sessions before the latest", () => { + // 20 sessions of 1000 + a final 5000; average excludes the final. + const vols = [...Array(20).fill(1000), 5000]; + expect(averageVolume(vols, 20)).toBe(1000); + }); +}); + +describe("realizedVolatility", () => { + it("is zero for a flat series", () => { + const closes = Array(61).fill(100); + expect(realizedVolatility(closes, 60)).toBe(0); + }); + + it("returns null when insufficient history", () => { + expect(realizedVolatility(Array(10).fill(100), 60)).toBeNull(); + }); +}); + +describe("swingPoints", () => { + it("finds a local high and low", () => { + // ascending to a peak at index 5, then descending to a trough, then up. + const closes = [10, 11, 12, 13, 14, 20, 14, 13, 12, 5, 6, 7, 8, 9, 10]; + const candles = makeCandles(closes); + const { highs, lows } = swingPoints(candles, 3); + expect(highs.some((h) => Math.abs(h.price - 21) < 1e-9)).toBe(true); // 20 + 1 high + expect(lows.some((l) => Math.abs(l.price - 4) < 1e-9)).toBe(true); // 5 - 1 low + }); +}); + +describe("computeTechnicals", () => { + it("computes day change, 52w distance, and volume multiple", () => { + const closes = [...Array(199).fill(100), 110]; + const candles = makeCandles(closes, 1000); + candles[candles.length - 1].volume = 2000; // today 2x normal + const history: PriceHistory = { + candles, + freshness: { asOf: "2026-01-01", mode: "delayed" }, + }; + const t = computeTechnicals(history); + + expect(t.lastPrice).toBe(110); + expect(t.priorClose).toBe(100); + expect(t.dayChangeAbs).toBe(10); + expect(t.dayChangePct).toBeCloseTo(0.1, 6); + expect(t.ma200).toBeCloseTo((199 * 100 + 110) / 200, 6); + expect(t.volumeMultiple).toBeCloseTo(2, 6); + // 52w high is 111 (110 close + 1); price 110 is just below it. + expect(t.pctFrom52High).toBeLessThan(0); + }); + + it("marks long-window indicators unavailable with short history", () => { + const history: PriceHistory = { + candles: makeCandles([100, 101, 102]), + freshness: { asOf: "2026-01-01", mode: "delayed" }, + }; + const t = computeTechnicals(history); + expect(t.ma200).toBeNull(); + expect(t.ma50).toBeNull(); + }); +}); diff --git a/src/lib/technicals/indicators.ts b/src/lib/technicals/indicators.ts new file mode 100644 index 0000000..568a298 --- /dev/null +++ b/src/lib/technicals/indicators.ts @@ -0,0 +1,110 @@ +import type { Candle, PriceHistory, TechnicalContext, SwingPoint } from "@/lib/types"; + +/** Simple moving average of the last `period` closes, or null if insufficient. */ +export function movingAverage(closes: number[], period: number): number | null { + if (closes.length < period) return null; + const window = closes.slice(closes.length - period); + const sum = window.reduce((a, b) => a + b, 0); + return sum / period; +} + +/** Average volume over the last `period` sessions (excluding the latest), or null. */ +export function averageVolume(volumes: number[], period = 20): number | null { + // Use sessions before the most recent so "today vs average" is meaningful. + if (volumes.length < period + 1) { + if (volumes.length < 2) return null; + const prior = volumes.slice(0, volumes.length - 1); + return prior.reduce((a, b) => a + b, 0) / prior.length; + } + const window = volumes.slice(volumes.length - 1 - period, volumes.length - 1); + return window.reduce((a, b) => a + b, 0) / window.length; +} + +/** Annualized realized volatility from daily closes over `period` sessions. */ +export function realizedVolatility(closes: number[], period = 60): number | null { + if (closes.length < period + 1) return null; + const window = closes.slice(closes.length - (period + 1)); + const returns: number[] = []; + for (let i = 1; i < window.length; i++) { + returns.push(Math.log(window[i] / window[i - 1])); + } + const mean = returns.reduce((a, b) => a + b, 0) / returns.length; + const variance = + returns.reduce((a, b) => a + (b - mean) ** 2, 0) / (returns.length - 1); + const dailyStd = Math.sqrt(variance); + return dailyStd * Math.sqrt(252); +} + +/** + * Detect swing highs/lows: a local extreme with `lookback` lower (or higher) + * closes on each side. Returns most-recent-first. + */ +export function swingPoints( + candles: Candle[], + lookback = 5, +): { highs: SwingPoint[]; lows: SwingPoint[] } { + const highs: SwingPoint[] = []; + const lows: SwingPoint[] = []; + for (let i = lookback; i < candles.length - lookback; i++) { + const c = candles[i]; + let isHigh = true; + let isLow = true; + for (let j = i - lookback; j <= i + lookback; j++) { + if (j === i) continue; + if (candles[j].high >= c.high) isHigh = false; + if (candles[j].low <= c.low) isLow = false; + } + if (isHigh) highs.push({ date: c.date, price: c.high }); + if (isLow) lows.push({ date: c.date, price: c.low }); + } + return { highs: highs.reverse(), lows: lows.reverse() }; +} + +/** Compute the full technical context from price history. */ +export function computeTechnicals(history: PriceHistory): TechnicalContext { + const candles = history.candles; + const closes = candles.map((c) => c.close); + const volumes = candles.map((c) => c.volume); + const last = candles.length > 0 ? candles[candles.length - 1] : null; + const prior = candles.length > 1 ? candles[candles.length - 2] : null; + + const lastPrice = last ? last.close : null; + const priorClose = prior ? prior.close : null; + const dayChangeAbs = + lastPrice !== null && priorClose !== null ? lastPrice - priorClose : null; + const dayChangePct = + dayChangeAbs !== null && priorClose ? dayChangeAbs / priorClose : null; + + // 52-week window = last ~252 sessions. + const yearWindow = candles.slice(Math.max(0, candles.length - 252)); + const week52High = + yearWindow.length > 0 ? Math.max(...yearWindow.map((c) => c.high)) : null; + const week52Low = + yearWindow.length > 0 ? Math.min(...yearWindow.map((c) => c.low)) : null; + + const avgVol = averageVolume(volumes, 20); + const todayVol = last ? last.volume : null; + + const { highs, lows } = swingPoints(candles, 5); + + return { + lastPrice, + priorClose, + dayChangeAbs, + dayChangePct, + ma20: movingAverage(closes, 20), + ma50: movingAverage(closes, 50), + ma200: movingAverage(closes, 200), + week52High, + week52Low, + pctFrom52High: + lastPrice !== null && week52High ? lastPrice / week52High - 1 : null, + pctFrom52Low: + lastPrice !== null && week52Low ? lastPrice / week52Low - 1 : null, + avgVolume: avgVol, + volumeMultiple: todayVol !== null && avgVol ? todayVol / avgVol : null, + realizedVol60: realizedVolatility(closes, 60), + swingHighs: highs.slice(0, 6), + swingLows: lows.slice(0, 6), + }; +} diff --git a/src/lib/types.ts b/src/lib/types.ts new file mode 100644 index 0000000..0aeaa40 --- /dev/null +++ b/src/lib/types.ts @@ -0,0 +1,282 @@ +// Shared domain types for equitysearch. +// +// Convention: a value that a provider could not supply is represented as `null` +// (never 0 or an empty string). Consumers must render `null` as "unavailable" +// rather than a real number. See the equity-evaluation spec. + +export type InstrumentType = "equity" | "etf"; + +export type FreshnessMode = "delayed" | "realtime"; + +export interface Freshness { + /** ISO timestamp the data is as-of. */ + asOf: string; + mode: FreshnessMode; +} + +// --- Normalized market-data models (market-data spec) --- + +export interface SecurityProfile { + ticker: string; + name: string; + exchange: string; // e.g. "NYSE", "NASDAQ" + currency: string; + instrumentType: InstrumentType; + /** Equity-only; null for ETFs. */ + sector: string | null; + industry: string | null; + sharesOutstanding: number | null; + freshness: Freshness; +} + +export interface FundamentalsPeriod { + /** "TTM" or a fiscal-year label like "FY2025". */ + period: string; + revenue: number | null; + operatingProfit: number | null; + grossMargin: number | null; // 0..1 + operatingMargin: number | null; // 0..1 + netIncome: number | null; + dilutedEps: number | null; + operatingCashFlow: number | null; + freeCashFlow: number | null; + dividendPerShare: number | null; + totalDebt: number | null; + netDebt: number | null; +} + +export interface SegmentPeriod { + segment: string; + revenue: number | null; + revenueYoY: number | null; // 0..1 fraction + operatingProfit: number | null; + operatingProfitYoY: number | null; + operatingMargin: number | null; // 0..1 + priorYearMargin: number | null; // 0..1 +} + +export interface LatestEarnings { + fiscalPeriod: string; // e.g. "Q3 FY2026" + reportDate: string | null; // ISO date + epsActual: number | null; + epsConsensus: number | null; + netIncome: number | null; + netIncomeYoY: number | null; + guidanceChange: string | null; + oneTimeItems: { note: string; epsImpact: number | null }[]; +} + +export interface Fundamentals { + ttm: FundamentalsPeriod; + /** Most recent first. */ + fiscalYears: FundamentalsPeriod[]; + /** Optional — only some providers expose segment data. */ + segments?: SegmentPeriod[]; + /** Optional — the most recent quarterly report, when available. */ + latestEarnings?: LatestEarnings; + freshness: Freshness; +} + +export interface Candle { + date: string; // ISO date + open: number; + high: number; + low: number; + close: number; + volume: number; +} + +export interface PriceHistory { + /** Ascending by date. */ + candles: Candle[]; + freshness: Freshness; +} + +export interface AnalystCoverage { + ratingsBullish: number | null; + ratingsNeutral: number | null; + ratingsBearish: number | null; + targetAverage: number | null; + targetMedian: number | null; + targetLow: number | null; + targetHigh: number | null; + freshness: Freshness; +} + +export interface FiscalEstimate { + period: string; // e.g. "FY2027" + value: number | null; +} + +export interface Estimates { + forwardEps: FiscalEstimate[]; + forwardRevenue: FiscalEstimate[]; + freshness: Freshness; +} + +// --- Computed technical context (market-data spec, computed in-house) --- + +export interface SwingPoint { + date: string; + price: number; +} + +export interface TechnicalContext { + lastPrice: number | null; + priorClose: number | null; + dayChangeAbs: number | null; + dayChangePct: number | null; // 0..1 fraction + ma20: number | null; + ma50: number | null; + ma200: number | null; + week52High: number | null; + week52Low: number | null; + pctFrom52High: number | null; // signed fraction (negative = below high) + pctFrom52Low: number | null; + avgVolume: number | null; + volumeMultiple: number | null; // today's volume / avg + realizedVol60: number | null; // 60-day annualized, fraction + swingHighs: SwingPoint[]; + swingLows: SwingPoint[]; +} + +// --- Evaluation object (equity-evaluation spec) --- +// +// Instrument-agnostic sections are shared; fundamentals/valuation live under a +// per-instrument-type branch. v1 populates the `equity` branch only. + +export interface CurrentStanding { + price: number | null; + dayChangeAbs: number | null; + dayChangePct: number | null; + volumeMultiple: number | null; + pctFrom52High: number | null; + pctFrom52Low: number | null; + marketCap: number | null; + trailingPe: number | null; +} + +export interface EarningsRecap { + fiscalPeriod: string; + epsActual: number | null; + epsConsensus: number | null; + epsBeatMiss: number | null; // actual - consensus + netIncome: number | null; + netIncomeYoY: number | null; + guidanceChange: string | null; +} + +export interface QualityOfEarningsFlag { + kind: "one-time-item" | "price-vs-volume" | "wrong-baseline"; + note: string; + epsImpact: number | null; +} + +export interface FinancialComparison { + metric: string; + current: number | null; + priorYear: number | null; + yoy: number | null; +} + +export interface ValuationView { + ttmDilutedEps: number | null; + trailingPe: number | null; + forwardEps: number | null; + forwardPe: number | null; + netIncomeGrowth: number | null; + revenueGrowth: number | null; + fcfYield: number | null; + dividendYield: number | null; + /** Prior fiscal-year P/E history for context. */ + history: { period: string; pe: number | null; dilutedEps: number | null }[]; + /** Disclosed if two estimate feeds disagreed on a forward figure. */ + estimateDiscrepancy: string | null; +} + +/** Equity-specific fundamentals branch. An ETF branch would be a parallel type. */ +export interface EquityFundamentalsView { + earningsRecap: EarningsRecap | null; + qualityOfEarnings: QualityOfEarningsFlag[]; + financials: FinancialComparison[]; + segments: SegmentPeriod[]; + valuation: ValuationView | null; + valuationReasoning: string[]; +} + +export interface MacroFactor { + factor: string; + direction: "tailwind" | "headwind" | "mixed"; + note: string; +} + +export interface TimingContext { + postEarningsPattern: string | null; + impliedMove: number | null; + actualMove: number | null; + recentRanges: string | null; + gapFilled: boolean | null; +} + +export interface EntryLevel { + price: number; + meaning: string; // "50-day average", "March 31 swing low", ... + pctBelowCurrent: number | null; + impliedTrailingPe: number | null; + impliedForwardPe: number | null; +} + +export interface EntryBand { + low: number; + high: number; + label: string; // "starter", "high-conviction", ... + rationale: string; +} + +export interface ExitTarget { + price: number; + basis: string; // "analyst median", "prior high", ... + upsidePct: number | null; +} + +export interface StopLoss { + price: number; + forEntryBand: string; + basis: string; +} + +export interface ActionablePlan { + tranches: string[]; + nextCatalyst: string | null; + conditionalRules: string[]; + metricToWatch: string | null; +} + +export const DISCLAIMER = "This is analysis, not investment advice."; + +export interface Evaluation { + ticker: string; + name: string; + instrumentType: InstrumentType; + asOf: string; + /** false when v1 does not support this instrument type (e.g. ETF). */ + supported: boolean; + unsupportedReason: string | null; + + // Instrument-agnostic sections: + standing: CurrentStanding | null; + macroFactors: MacroFactor[]; + timing: TimingContext | null; + entryLevels: EntryLevel[]; + entryBands: EntryBand[]; + exitTargets: ExitTarget[]; + stopLosses: StopLoss[]; + bullCase: string[]; + bearCase: string[]; + plan: ActionablePlan | null; + + // Per-instrument-type branch (equity in v1; null for unsupported types): + equity: EquityFundamentalsView | null; + + disclaimer: string; +} diff --git a/tsconfig.json b/tsconfig.json new file mode 100644 index 0000000..b258e13 --- /dev/null +++ b/tsconfig.json @@ -0,0 +1,23 @@ +{ + "compilerOptions": { + "target": "ES2022", + "lib": ["dom", "dom.iterable", "ES2022"], + "allowJs": true, + "skipLibCheck": true, + "strict": true, + "noEmit": true, + "esModuleInterop": true, + "module": "esnext", + "moduleResolution": "bundler", + "resolveJsonModule": true, + "isolatedModules": true, + "jsx": "preserve", + "incremental": true, + "plugins": [{ "name": "next" }], + "paths": { + "@/*": ["./src/*"] + } + }, + "include": ["next-env.d.ts", "**/*.ts", "**/*.tsx", ".next/types/**/*.ts"], + "exclude": ["node_modules"] +} diff --git a/vitest.config.ts b/vitest.config.ts new file mode 100644 index 0000000..cc29b6a --- /dev/null +++ b/vitest.config.ts @@ -0,0 +1,16 @@ +import { defineConfig } from "vitest/config"; +import react from "@vitejs/plugin-react"; +import { fileURLToPath } from "node:url"; + +export default defineConfig({ + plugins: [react()], + test: { + environment: "node", + include: ["src/**/*.test.ts", "src/**/*.test.tsx"], + }, + resolve: { + alias: { + "@": fileURLToPath(new URL("./src", import.meta.url)), + }, + }, +});