feat(analysis): add monthly pattern analysis feature with chart and API integration

This commit is contained in:
Jose Selesan
2026-09-14 16:41:21 -03:00
parent f2c26c266c
commit 28e1a732e0
7 changed files with 794 additions and 12 deletions

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@@ -0,0 +1,122 @@
import type { Context } from "hono";
import { cache } from "../../../lib/cache";
import { prisma } from "../../../lib/prisma";
const VALID_TYPES = ["BLUE", "BNA", "BELO"] as const;
const ONE_HOUR = 60 * 60 * 1000;
export async function getMonthlyPattern(c: Context) {
const rawType = c.req.param("type")?.toUpperCase();
if (!VALID_TYPES.includes(rawType as (typeof VALID_TYPES)[number])) {
return c.json(
{
error: `Invalid quote type. Must be one of: ${VALID_TYPES.join(", ")}`,
},
400,
);
}
const cacheKey = `quotes:monthly-pattern:${rawType}`;
const cached = cache.get(cacheKey);
if (cached) return c.json(cached);
const rows = await prisma.$queryRaw<
Array<{
day: number;
months: number;
avgBuy: number;
avgSell: number;
avgBuyPosition: number | null;
avgSellPosition: number | null;
minBuyDays: number;
maxBuyDays: number;
minSellDays: number;
maxSellDays: number;
}>
>`
WITH monthly AS (
SELECT
DATE_TRUNC('month', "timeStamp")::date AS month,
MIN(buy::numeric) AS min_buy,
MAX(buy::numeric) AS max_buy,
MIN(sell::numeric) AS min_sell,
MAX(sell::numeric) AS max_sell
FROM "quotes_history"
WHERE "type" = ${rawType}::"QuoteType"
AND "timeStamp" < DATE_TRUNC('month', NOW())
GROUP BY DATE_TRUNC('month', "timeStamp")
),
daily AS (
SELECT
DATE_TRUNC('month', "timeStamp")::date AS month,
EXTRACT(DAY FROM "timeStamp")::int AS day,
AVG(buy::numeric) AS avg_buy,
AVG(sell::numeric) AS avg_sell,
MIN(buy::numeric) AS day_min_buy,
MAX(buy::numeric) AS day_max_buy,
MIN(sell::numeric) AS day_min_sell,
MAX(sell::numeric) AS day_max_sell
FROM "quotes_history"
WHERE "type" = ${rawType}::"QuoteType"
AND "timeStamp" < DATE_TRUNC('month', NOW())
GROUP BY
DATE_TRUNC('month', "timeStamp"),
EXTRACT(DAY FROM "timeStamp")
)
SELECT
d.day,
COUNT(*)::int AS months,
AVG(d.avg_buy)::float8 AS "avgBuy",
AVG(d.avg_sell)::float8 AS "avgSell",
AVG(
CASE WHEN m.max_buy > m.min_buy
THEN (d.avg_buy - m.min_buy) / (m.max_buy - m.min_buy)
END
)::float8 AS "avgBuyPosition",
AVG(
CASE WHEN m.max_sell > m.min_sell
THEN (d.avg_sell - m.min_sell) / (m.max_sell - m.min_sell)
END
)::float8 AS "avgSellPosition",
COUNT(*) FILTER (WHERE d.day_min_buy = m.min_buy)::int AS "minBuyDays",
COUNT(*) FILTER (WHERE d.day_max_buy = m.max_buy)::int AS "maxBuyDays",
COUNT(*) FILTER (WHERE d.day_min_sell = m.min_sell)::int AS "minSellDays",
COUNT(*) FILTER (WHERE d.day_max_sell = m.max_sell)::int AS "maxSellDays"
FROM daily d
JOIN monthly m ON m.month = d.month
GROUP BY d.day
ORDER BY d.day ASC
`;
const totalMonths = await prisma.$queryRaw<Array<{ count: number }>>`
SELECT COUNT(*)::int AS count
FROM (
SELECT DATE_TRUNC('month', "timeStamp")::date AS month
FROM "quotes_history"
WHERE "type" = ${rawType}::"QuoteType"
AND "timeStamp" < DATE_TRUNC('month', NOW())
GROUP BY DATE_TRUNC('month', "timeStamp")
) AS months
`;
const response = {
type: rawType,
totalMonths: totalMonths[0]?.count ?? 0,
days: rows.map((r) => ({
day: r.day,
months: r.months,
avgBuy: r.avgBuy,
avgSell: r.avgSell,
avgBuyPosition: r.avgBuyPosition,
avgSellPosition: r.avgSellPosition,
minBuyDays: r.minBuyDays,
maxBuyDays: r.maxBuyDays,
minSellDays: r.minSellDays,
maxSellDays: r.maxSellDays,
})),
};
cache.set(cacheKey, response, ONE_HOUR);
return c.json(response);
}

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@@ -5,6 +5,7 @@ import { getDailyMinMax } from "./handlers/getDailyMinMax";
import { getDailyQuotes } from "./handlers/getDailyQuotes";
import { getHistoricalMinMax } from "./handlers/getHistoricalMinMax";
import { getMonthlyLast } from "./handlers/getMonthlyLast";
import { getMonthlyPattern } from "./handlers/getMonthlyPattern";
import { getPeakHours } from "./handlers/getPeakHours";
import { getQuoteHistory } from "./handlers/getQuoteHistory";
import { quoteEvents } from "./handlers/quoteEvents";
@@ -17,6 +18,7 @@ app.get("/:type/history", getQuoteHistory);
app.get("/:type/daily", getDailyQuotes);
app.get("/:type/min-max", getDailyMinMax);
app.get("/:type/peak-hours", getPeakHours);
app.get("/:type/monthly-pattern", getMonthlyPattern);
app.get("/:type/historical/min-max", getHistoricalMinMax);
app.get("/fetch", fetchQuotes);
app.get("/events", quoteEvents);