initial: alpaclaudia paper-trading bot + dashboard
Python bot (bot/alpaclaudia): alpaca-py client, wheel strategy (CSP + covered calls) plus equity trailing stops, risk gates (cash buffer, cost-basis guard, per-symbol concentration cap), SQLite state log, Typer CLI (tick/loop/status/ report/dump-state), Discord daily report, pytest suite. Next.js 14 dashboard (dashboard/): read-only — reads the bot's SQLite directly and pulls live account/positions/orders from Alpaca. KPIs, equity chart, positions, bot-intents audit table, and orders table. Dark UI with Tailwind. systemd/: user-unit templates for the polling loop and the post-close report timer. docs/STRATEGY.md: wheel mechanics, risk invariants, later candidates. Defaults to BOT_MODE=dry — nothing is submitted to Alpaca until explicitly enabled in .env. ALPACA_ENV=paper by default; flipping to live requires an explicit second guard.
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import { NextResponse } from "next/server";
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import { dbStatus, recentIntents, recentTicks } from "../../lib/db";
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import {
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credentialsPresent,
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getAccount,
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getClock,
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getOrders,
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getPositions,
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} from "../../lib/alpaca";
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export const dynamic = "force-dynamic";
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export async function GET() {
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const [account, positions, orders, clock] = await Promise.all([
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getAccount(),
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getPositions(),
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getOrders(),
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getClock(),
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]);
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return NextResponse.json({
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ok: true,
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alpaca_connected: credentialsPresent(),
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db: dbStatus(),
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account,
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clock,
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positions,
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orders,
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ticks: recentTicks(300),
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intents: recentIntents(200),
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server_time: new Date().toISOString(),
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});
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}
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