fix: TradingView K线图表并修复品种推荐为空。
- 行情页改用 Lightweight Charts 标准蜡烛图(红跌绿涨) - 修复 fee_rates 缺 source 列导致推荐刷新失败 - 空缓存自动重试,持仓页实时兜底计算推荐列表 Co-authored-by: Cursor <cursoragent@cursor.com>
This commit is contained in:
@@ -37,6 +37,26 @@ def _get_db():
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return connect_db()
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def ensure_fee_rates_schema(conn=None) -> None:
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"""补齐 fee_rates 表结构(旧库可能缺少 source 列)。"""
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close = False
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if conn is None:
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conn = _get_db()
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close = True
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try:
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for sql in (
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"ALTER TABLE fee_rates ADD COLUMN source TEXT DEFAULT 'local'",
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):
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try:
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conn.execute(sql)
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except sqlite3.OperationalError:
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pass
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conn.commit()
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finally:
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if close:
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conn.close()
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def get_setting(key: str, default: str = "") -> str:
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conn = _get_db()
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row = conn.execute("SELECT value FROM settings WHERE key=?", (key,)).fetchone()
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@@ -111,6 +131,7 @@ def get_fee_spec(ths_code: str, *, trading_mode: str = "simulation") -> dict:
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mult = get_contract_spec(ths_code)["mult"]
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conn = _get_db()
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ensure_fee_rates_schema(conn)
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row = conn.execute(
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"SELECT * FROM fee_rates WHERE product=? AND source='ctp'",
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(product,),
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+22
-2
@@ -22,9 +22,9 @@ from position_sizing import (
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)
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from recommend_store import (
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load_recommend_cache,
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recommend_cache_needs_refresh,
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recommend_payload,
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refresh_recommend_cache,
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rows_missing_max_lots,
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)
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from recommend_stream import recommend_hub, start_recommend_worker
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from ctp_reconnect import start_ctp_reconnect_worker
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@@ -407,11 +407,31 @@ def install_trading(app, *, login_required, require_nav, get_db, get_setting, se
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sizing = get_sizing_mode(get_setting)
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max_pct = get_max_margin_pct(get_setting)
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rec_loaded = load_recommend_cache(conn)
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if rec_loaded.get("stale") or rows_missing_max_lots(rec_loaded.get("rows") or []):
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if recommend_cache_needs_refresh(rec_loaded, capital=capital):
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try:
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refresh_recommend_cache(
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conn, capital, _main_quote, trading_mode=mode, max_margin_pct=max_pct,
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)
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except Exception as exc:
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logger.warning("positions recommend refresh failed: %s", exc)
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rec_cache = recommend_payload(conn, live_capital=capital, max_margin_pct=max_pct)
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if not rec_cache.get("rows") and capital > 0:
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try:
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from product_recommend import list_product_recommendations
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from recommend_store import enrich_recommend_rows, filter_affordable_recommendations
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live_rows = filter_affordable_recommendations(
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list_product_recommendations(
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capital, _main_quote, max_margin_pct=max_pct, trading_mode=mode,
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)
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)
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if live_rows:
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rec_cache["rows"] = enrich_recommend_rows(
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live_rows, capital, max_margin_pct=max_pct,
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)
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rec_cache["updated_at"] = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
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except Exception as exc:
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logger.warning("positions recommend live fallback failed: %s", exc)
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return render_template(
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"trade.html",
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trading_mode=mode,
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+28
-9
@@ -220,20 +220,39 @@ def _timeshare_session(bars: list) -> list:
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def bars_to_api(bars: list) -> list[dict]:
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"""转为前端图表 JSON。"""
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result = []
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"""转为前端图表 JSON(去重、排序、数值规范化)。"""
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result: list[dict] = []
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seen: dict[int, dict] = {}
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for bar in bars:
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dt = _bar_datetime(bar)
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ts = int(dt.timestamp() * 1000) if dt else None
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result.append({
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try:
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o = float(bar.get("o") or 0)
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h = float(bar.get("h") or o)
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l = float(bar.get("l") or o)
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c = float(bar.get("c") or o)
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v = float(bar.get("v") or 0)
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except (TypeError, ValueError):
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continue
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if h < l:
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h, l = l, h
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h = max(h, o, c)
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l = min(l, o, c)
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row = {
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"time": bar["d"],
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"timestamp": ts,
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"open": bar["o"],
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"high": bar["h"],
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"low": bar["l"],
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"close": bar["c"],
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"volume": bar.get("v", 0),
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})
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"open": o,
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"high": h,
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"low": l,
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"close": c,
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"volume": v,
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}
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if ts is not None:
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seen[ts] = row
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else:
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result.append(row)
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if seen:
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result = [seen[k] for k in sorted(seen.keys())]
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return result
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@@ -1,6 +1,7 @@
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"""按账户资金推荐可交易品种(期货核心筛选)。"""
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from __future__ import annotations
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import logging
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import math
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from concurrent.futures import ThreadPoolExecutor
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from typing import Callable, Optional
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@@ -9,6 +10,8 @@ from contract_specs import get_contract_spec
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from fee_specs import calc_fee_breakdown
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from symbols import PRODUCTS
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logger = logging.getLogger(__name__)
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def _letters_from_ths(ths_code: str) -> str:
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import re
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@@ -61,9 +64,13 @@ def assess_product_for_capital(
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ref_sl = round(p - stop_dist, 4)
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ref_tp = round(p + stop_dist * reward_risk_ratio, 4)
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fee_ths = ths + "8888"
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try:
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fee_info = calc_fee_breakdown(
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fee_ths, p, p, 1.0, open_time="", close_time="", trading_mode=trading_mode,
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)
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except Exception as exc:
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logger.debug("recommend fee calc failed %s: %s", ths, exc)
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fee_info = {"open_fee": 0.0, "total_fee": 0.0}
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can_margin = max_lots >= 1
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can_risk = cap > 0 and risk_one_lot <= cap * 0.01
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@@ -109,6 +116,7 @@ def list_product_recommendations(
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def _one(product: dict) -> dict:
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ths = product["ths"]
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try:
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quote = quote_fn(ths) or {}
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price = quote.get("price")
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row = assess_product_for_capital(
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@@ -119,6 +127,17 @@ def list_product_recommendations(
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main_code = (quote.get("ths_code") or "").strip()
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row["main_code"] = main_code
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return row
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except Exception as exc:
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logger.warning("recommend product failed %s: %s", ths, exc)
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return {
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"ths": ths,
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"name": product.get("name") or ths,
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"exchange": product.get("exchange") or "",
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"status": "no_price",
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"status_label": "计算失败",
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"main_code": "",
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"max_lots": 0,
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}
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with ThreadPoolExecutor(max_workers=10) as pool:
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rows = list(pool.map(_one, PRODUCTS))
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+32
-5
@@ -2,12 +2,16 @@
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from __future__ import annotations
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import json
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import logging
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import math
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from datetime import datetime
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from typing import Callable, Optional
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from fee_specs import ensure_fee_rates_schema
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from product_recommend import list_product_recommendations
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logger = logging.getLogger(__name__)
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RECOMMEND_CACHE_SQL = """
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CREATE TABLE IF NOT EXISTS product_recommend_cache (
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id INTEGER PRIMARY KEY CHECK (id = 1),
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@@ -34,6 +38,22 @@ def rows_missing_max_lots(rows: list[dict]) -> bool:
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return any("max_lots" not in r for r in rows)
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def recommend_cache_needs_refresh(
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cached: dict,
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*,
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capital: float = 0.0,
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) -> bool:
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"""是否需要重新拉行情计算推荐列表。"""
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if recommend_cache_stale(cached.get("updated_at")):
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return True
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rows = cached.get("rows") or []
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if rows_missing_max_lots(rows):
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return True
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if float(capital or 0) > 0 and not rows:
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return True
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return False
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def enrich_recommend_rows(
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rows: list[dict],
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capital: float,
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@@ -81,10 +101,19 @@ def refresh_recommend_cache(
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) -> list[dict]:
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"""后台拉行情、筛选并写入数据库。"""
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ensure_recommend_tables(conn)
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ensure_fee_rates_schema(conn)
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all_rows = list_product_recommendations(
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capital, quote_fn, max_margin_pct=max_margin_pct, trading_mode=trading_mode,
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)
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rows = filter_affordable_recommendations(all_rows)
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if not rows and float(capital or 0) > 0:
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logger.warning(
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"recommend refresh: 0 affordable rows capital=%.2f total=%d no_price=%d blocked=%d",
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float(capital or 0),
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len(all_rows),
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sum(1 for r in all_rows if r.get("status") == "no_price"),
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sum(1 for r in all_rows if r.get("status") == "blocked"),
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)
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now = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
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conn.execute(
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"""INSERT INTO product_recommend_cache (id, capital, rows_json, updated_at)
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@@ -142,9 +171,7 @@ def recommend_payload(
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pct = max(1.0, min(100.0, float(max_margin_pct or 30.0)))
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payload["capital"] = cap
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payload["max_margin_pct"] = pct
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payload["rows"] = enrich_recommend_rows(
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payload.get("rows") or [],
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cap,
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max_margin_pct=pct,
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)
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rows = payload.get("rows") or []
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payload["rows"] = enrich_recommend_rows(rows, cap, max_margin_pct=pct)
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payload["needs_refresh"] = recommend_cache_needs_refresh(payload, capital=cap)
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return payload
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+2
-5
@@ -12,10 +12,9 @@ from db_conn import connect_db
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from kline_stream import sse_format
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from recommend_store import (
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load_recommend_cache,
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recommend_cache_stale,
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recommend_cache_needs_refresh,
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recommend_payload,
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refresh_recommend_cache,
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rows_missing_max_lots,
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)
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logger = logging.getLogger(__name__)
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@@ -78,9 +77,7 @@ def start_recommend_worker(
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mode = get_mode_fn() if get_mode_fn else "simulation"
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max_pct = float(get_max_margin_pct_fn()) if get_max_margin_pct_fn else 30.0
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cached = load_recommend_cache(conn)
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if recommend_cache_stale(cached.get("updated_at")) or rows_missing_max_lots(
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cached.get("rows") or [],
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):
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if recommend_cache_needs_refresh(cached, capital=capital):
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refresh_recommend_cache(
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conn, capital, quote_fn, trading_mode=mode, max_margin_pct=max_pct,
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)
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+316
-488
@@ -3,14 +3,36 @@
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var emptyEl = document.getElementById('market-chart-empty');
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var wrapEl = document.getElementById('market-chart-wrap');
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var chart = null;
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var candleSeries = null;
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var volumeSeries = null;
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var areaSeries = null;
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var ma21Series = null;
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var ma55Series = null;
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var prevCloseLine = null;
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var resizeObs = null;
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var currentPeriod = '15m';
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var currentChartMode = '';
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var klineSource = null;
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var streamActive = false;
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var reconnectTimer = null;
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var lastData = null;
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var lastPrevClose = null;
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var chartOpts = { prevClose: false, ma: false, gapDay: false };
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var dataZoomBound = false;
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var followingLatest = true;
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var DEFAULT_VISIBLE_BARS = 80;
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var PERIOD_SECONDS = {
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timeshare: 60,
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'1m': 60,
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'2m': 120,
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'5m': 300,
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'15m': 900,
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'1h': 3600,
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'2h': 7200,
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'4h': 14400,
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d: 86400,
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w: 604800,
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};
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function getSymbol() {
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var hidden = document.getElementById('market-symbol-hidden');
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@@ -31,17 +53,14 @@
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function themeColors() {
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var dark = document.documentElement.getAttribute('data-theme') !== 'light';
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return {
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bg: dark ? '#0a0c14' : '#f4f7fc',
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bg: dark ? '#0a0c14' : '#ffffff',
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text: dark ? '#a8b0c8' : '#5c6578',
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title: dark ? '#e8eaf6' : '#1a2233',
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grid: dark ? '#1a2038' : '#e2e8f0',
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up: dark ? '#4cd97f' : '#15803d',
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down: dark ? '#ff6b7a' : '#dc2626',
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line: dark ? '#4cc2ff' : '#2563eb',
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area: dark ? 'rgba(76,194,255,0.12)' : 'rgba(37,99,235,0.1)',
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slider: dark ? '#1e2640' : '#cbd5e1',
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sliderFill: dark ? '#4cc2ff' : '#2563eb',
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ma21: dark ? '#ffb347' : '#d97706',
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grid: dark ? '#1e2640' : '#e8edf5',
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up: dark ? '#26a69a' : '#089981',
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down: dark ? '#ef5350' : '#f23645',
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line: dark ? '#4cc2ff' : '#2962ff',
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areaTop: dark ? 'rgba(76,194,255,0.28)' : 'rgba(41,98,255,0.22)',
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ma21: dark ? '#ffb347' : '#f7931a',
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ma55: dark ? '#c084fc' : '#7c3aed',
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prevClose: dark ? '#fbbf24' : '#b45309',
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};
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@@ -63,484 +82,272 @@
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return false;
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}
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function calcMA(period, closes) {
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var result = [];
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for (var i = 0; i < closes.length; i++) {
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if (i < period - 1) {
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result.push(null);
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continue;
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function barUnixTime(bar) {
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if (bar.timestamp) return Math.floor(bar.timestamp / 1000);
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if (bar.time) {
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var d = new Date(String(bar.time).replace(' ', 'T'));
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if (!isNaN(d.getTime())) return Math.floor(d.getTime() / 1000);
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}
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return null;
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}
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function prepareBars(bars, periodKey) {
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var out = [];
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var gapDay = chartOpts.gapDay;
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var seen = {};
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var gapBase = null;
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var step = PERIOD_SECONDS[periodKey] || 60;
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for (var i = 0; i < bars.length; i++) {
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var b = bars[i];
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var o = Number(b.open);
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var h = Number(b.high);
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var l = Number(b.low);
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var c = Number(b.close);
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if (!isFinite(o) || !isFinite(c)) continue;
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if (!isFinite(h)) h = Math.max(o, c);
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if (!isFinite(l)) l = Math.min(o, c);
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h = Math.max(h, o, c);
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l = Math.min(l, o, c);
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var t;
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if (gapDay) {
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if (gapBase == null) {
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gapBase = b.timestamp ? Math.floor(b.timestamp / 1000) : 946684800;
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}
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t = gapBase + out.length * step;
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} else {
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t = barUnixTime(b);
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}
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if (t == null || seen[t]) continue;
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seen[t] = true;
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out.push({
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time: t,
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open: o,
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high: h,
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low: l,
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close: c,
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volume: Number(b.volume) || 0,
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rawTime: b.time,
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});
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}
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return out;
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}
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function calcMA(period, bars) {
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var result = [];
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for (var i = 0; i < bars.length; i++) {
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if (i < period - 1) continue;
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var sum = 0;
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for (var j = 0; j < period; j++) sum += closes[i - j];
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result.push(+(sum / period).toFixed(4));
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for (var j = 0; j < period; j++) sum += bars[i - j].close;
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result.push({ time: bars[i].time, value: +(sum / period).toFixed(4) });
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}
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return result;
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}
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function findMaCrosses(ma21, ma55) {
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var points = [];
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for (var i = 1; i < ma21.length; i++) {
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if (ma21[i] == null || ma55[i] == null || ma21[i - 1] == null || ma55[i - 1] == null) continue;
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var prev = ma21[i - 1] - ma55[i - 1];
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var curr = ma21[i] - ma55[i];
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if (prev <= 0 && curr > 0) points.push({ i: i, type: 'golden' });
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if (prev >= 0 && curr < 0) points.push({ i: i, type: 'death' });
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function destroyChart() {
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if (resizeObs) {
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resizeObs.disconnect();
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resizeObs = null;
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}
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return points;
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if (chart) {
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||||
chart.remove();
|
||||
chart = null;
|
||||
}
|
||||
candleSeries = null;
|
||||
volumeSeries = null;
|
||||
areaSeries = null;
|
||||
ma21Series = null;
|
||||
ma55Series = null;
|
||||
prevCloseLine = null;
|
||||
currentChartMode = '';
|
||||
}
|
||||
|
||||
function getDefaultZoomStart() {
|
||||
return currentPeriod === 'timeshare' ? 60 : 75;
|
||||
}
|
||||
|
||||
function getZoomRange() {
|
||||
if (!chart) return { start: getDefaultZoomStart(), end: 100 };
|
||||
var opt = chart.getOption();
|
||||
if (opt && opt.dataZoom && opt.dataZoom.length) {
|
||||
var z = opt.dataZoom[0];
|
||||
if (z.start != null && z.end != null) return { start: z.start, end: z.end };
|
||||
}
|
||||
return { start: getDefaultZoomStart(), end: 100 };
|
||||
}
|
||||
|
||||
function visibleIndices(bars, zoom) {
|
||||
var n = bars.length;
|
||||
if (!n) return { start: 0, end: 0 };
|
||||
var start = Math.floor(n * zoom.start / 100);
|
||||
var end = Math.min(n - 1, Math.ceil(n * zoom.end / 100) - 1);
|
||||
if (end < start) end = start;
|
||||
return { start: start, end: end };
|
||||
}
|
||||
|
||||
function computeVisibleHL(bars, startIdx, endIdx) {
|
||||
var maxH = -Infinity;
|
||||
var minL = Infinity;
|
||||
var maxI = startIdx;
|
||||
var minI = startIdx;
|
||||
for (var i = startIdx; i <= endIdx; i++) {
|
||||
var b = bars[i];
|
||||
if (!b) continue;
|
||||
if (b.high > maxH) { maxH = b.high; maxI = i; }
|
||||
if (b.low < minL) { minL = b.low; minI = i; }
|
||||
}
|
||||
if (maxH === -Infinity) return null;
|
||||
return { maxH: maxH, minL: minL, maxI: maxI, minI: minI };
|
||||
}
|
||||
|
||||
function buildHLMarkPoint(hl, c) {
|
||||
if (!hl) return { data: [] };
|
||||
return {
|
||||
symbol: 'circle',
|
||||
symbolSize: 6,
|
||||
data: [
|
||||
{
|
||||
name: '高',
|
||||
xAxis: hl.maxI,
|
||||
yAxis: hl.maxH,
|
||||
value: hl.maxH.toFixed(2),
|
||||
itemStyle: { color: c.up },
|
||||
label: {
|
||||
show: true,
|
||||
formatter: '高 ' + hl.maxH.toFixed(2),
|
||||
color: c.up,
|
||||
fontSize: 11,
|
||||
position: 'top',
|
||||
},
|
||||
},
|
||||
{
|
||||
name: '低',
|
||||
xAxis: hl.minI,
|
||||
yAxis: hl.minL,
|
||||
value: hl.minL.toFixed(2),
|
||||
itemStyle: { color: c.down },
|
||||
label: {
|
||||
show: true,
|
||||
formatter: '低 ' + hl.minL.toFixed(2),
|
||||
color: c.down,
|
||||
fontSize: 11,
|
||||
position: 'bottom',
|
||||
},
|
||||
},
|
||||
],
|
||||
};
|
||||
}
|
||||
|
||||
function buildMaCrossMarkPoint(crosses, bars, c) {
|
||||
if (!crosses.length) return { data: [] };
|
||||
return {
|
||||
symbol: 'pin',
|
||||
symbolSize: 28,
|
||||
data: crosses.map(function (p) {
|
||||
var b = bars[p.i];
|
||||
return {
|
||||
name: p.type === 'golden' ? '金叉' : '死叉',
|
||||
xAxis: p.i,
|
||||
yAxis: b ? b.close : 0,
|
||||
itemStyle: { color: p.type === 'golden' ? c.up : c.down },
|
||||
label: {
|
||||
show: true,
|
||||
formatter: p.type === 'golden' ? '金叉' : '死叉',
|
||||
fontSize: 10,
|
||||
color: p.type === 'golden' ? c.up : c.down,
|
||||
},
|
||||
};
|
||||
}),
|
||||
};
|
||||
}
|
||||
|
||||
function buildPrevCloseMarkLine(prevClose, c) {
|
||||
if (prevClose == null) return { data: [] };
|
||||
var v = Number(prevClose);
|
||||
return {
|
||||
silent: true,
|
||||
symbol: 'none',
|
||||
lineStyle: { color: c.prevClose, type: 'dashed', width: 1 },
|
||||
label: {
|
||||
show: true,
|
||||
formatter: '昨收 ' + v.toFixed(2),
|
||||
color: c.prevClose,
|
||||
fontSize: 10,
|
||||
},
|
||||
data: [{ yAxis: v }],
|
||||
};
|
||||
}
|
||||
|
||||
function initChart() {
|
||||
if (!chartEl || !window.echarts) return;
|
||||
chart = echarts.init(chartEl);
|
||||
window.addEventListener('resize', function () {
|
||||
if (chart) chart.resize();
|
||||
});
|
||||
document.addEventListener('click', function (e) {
|
||||
if (e.target.closest('[data-theme-pick]')) {
|
||||
setTimeout(function () {
|
||||
if (chart && lastData) renderChart(lastData, true);
|
||||
}, 100);
|
||||
}
|
||||
});
|
||||
}
|
||||
|
||||
function bindDataZoomHL() {
|
||||
if (!chart || dataZoomBound) return;
|
||||
dataZoomBound = true;
|
||||
chart.on('dataZoom', function () {
|
||||
updateVisibleHLMark();
|
||||
});
|
||||
}
|
||||
|
||||
function updateVisibleHLMark() {
|
||||
if (!chart || !lastData || !lastData.bars) return;
|
||||
var bars = lastData.bars;
|
||||
var zoom = getZoomRange();
|
||||
var idx = visibleIndices(bars, zoom);
|
||||
var hl = computeVisibleHL(bars, idx.start, idx.end);
|
||||
function buildChart(mode) {
|
||||
destroyChart();
|
||||
if (!chartEl || !window.LightweightCharts) return;
|
||||
var c = themeColors();
|
||||
chart.setOption({
|
||||
series: [{ id: 'main', markPoint: buildHLMarkPoint(hl, c) }],
|
||||
});
|
||||
}
|
||||
|
||||
function getDataZoom(c, preserve) {
|
||||
var defStart = getDefaultZoomStart();
|
||||
var xZoom = {
|
||||
type: 'inside',
|
||||
id: 'dzInsideX',
|
||||
xAxisIndex: [0, 1],
|
||||
start: defStart,
|
||||
end: 100,
|
||||
filterMode: 'none',
|
||||
zoomOnMouseWheel: true,
|
||||
moveOnMouseMove: true,
|
||||
moveOnMouseWheel: false,
|
||||
preventDefaultMouseMove: true,
|
||||
minSpan: 2,
|
||||
};
|
||||
var yZoom = {
|
||||
type: 'inside',
|
||||
id: 'dzInsideY',
|
||||
yAxisIndex: [0],
|
||||
orient: 'vertical',
|
||||
filterMode: 'none',
|
||||
zoomOnMouseWheel: true,
|
||||
moveOnMouseMove: true,
|
||||
preventDefaultMouseMove: true,
|
||||
};
|
||||
var slider = {
|
||||
type: 'slider',
|
||||
id: 'dzSlider',
|
||||
xAxisIndex: [0, 1],
|
||||
start: defStart,
|
||||
end: 100,
|
||||
height: 22,
|
||||
bottom: 4,
|
||||
borderColor: c.grid,
|
||||
backgroundColor: c.bg,
|
||||
fillerColor: c.area,
|
||||
handleStyle: { color: c.sliderFill },
|
||||
dataBackground: {
|
||||
lineStyle: { color: c.grid, opacity: 0.35 },
|
||||
areaStyle: { color: c.area },
|
||||
var w = chartEl.clientWidth || 600;
|
||||
var h = chartEl.clientHeight || 400;
|
||||
chart = LightweightCharts.createChart(chartEl, {
|
||||
width: w,
|
||||
height: h,
|
||||
layout: {
|
||||
background: { type: 'solid', color: c.bg },
|
||||
textColor: c.text,
|
||||
fontSize: 11,
|
||||
},
|
||||
textStyle: { color: c.text, fontSize: 10 },
|
||||
filterMode: 'none',
|
||||
brushSelect: false,
|
||||
};
|
||||
var zoom = [xZoom, yZoom, slider];
|
||||
if (preserve && chart) {
|
||||
var opt = chart.getOption();
|
||||
if (opt && opt.dataZoom) {
|
||||
opt.dataZoom.forEach(function (z) {
|
||||
if (!z.id) return;
|
||||
var target = zoom.find(function (t) { return t.id === z.id; });
|
||||
if (target && z.start != null && z.end != null) {
|
||||
target.start = z.start;
|
||||
target.end = z.end;
|
||||
}
|
||||
grid: {
|
||||
vertLines: { color: c.grid, style: 1 },
|
||||
horzLines: { color: c.grid, style: 1 },
|
||||
},
|
||||
crosshair: {
|
||||
mode: LightweightCharts.CrosshairMode.Normal,
|
||||
vertLine: { width: 1, color: c.text, style: 2, labelBackgroundColor: c.grid },
|
||||
horzLine: { width: 1, color: c.text, style: 2, labelBackgroundColor: c.grid },
|
||||
},
|
||||
rightPriceScale: {
|
||||
borderColor: c.grid,
|
||||
scaleMargins: mode === 'line' ? { top: 0.08, bottom: 0.08 } : { top: 0.05, bottom: 0.22 },
|
||||
},
|
||||
timeScale: {
|
||||
borderColor: c.grid,
|
||||
timeVisible: true,
|
||||
secondsVisible: false,
|
||||
rightOffset: 8,
|
||||
barSpacing: 10,
|
||||
minBarSpacing: 4,
|
||||
fixLeftEdge: false,
|
||||
fixRightEdge: false,
|
||||
},
|
||||
handleScroll: { mouseWheel: true, pressedMouseMove: true, horzTouchDrag: true, vertTouchDrag: true },
|
||||
handleScale: { axisPressedMouseMove: true, mouseWheel: true, pinch: true },
|
||||
localization: { locale: 'zh-CN' },
|
||||
});
|
||||
|
||||
if (mode === 'line') {
|
||||
areaSeries = chart.addAreaSeries({
|
||||
lineColor: c.line,
|
||||
topColor: c.areaTop,
|
||||
bottomColor: 'rgba(0,0,0,0)',
|
||||
lineWidth: 2,
|
||||
priceLineVisible: false,
|
||||
lastValueVisible: true,
|
||||
});
|
||||
} else {
|
||||
candleSeries = chart.addCandlestickSeries({
|
||||
upColor: c.up,
|
||||
downColor: c.down,
|
||||
borderVisible: true,
|
||||
borderUpColor: c.up,
|
||||
borderDownColor: c.down,
|
||||
wickUpColor: c.up,
|
||||
wickDownColor: c.down,
|
||||
priceLineVisible: false,
|
||||
lastValueVisible: true,
|
||||
});
|
||||
volumeSeries = chart.addHistogramSeries({
|
||||
priceFormat: { type: 'volume' },
|
||||
priceScaleId: 'volume',
|
||||
lastValueVisible: false,
|
||||
priceLineVisible: false,
|
||||
});
|
||||
chart.priceScale('volume').applyOptions({
|
||||
scaleMargins: { top: 0.82, bottom: 0 },
|
||||
borderVisible: false,
|
||||
});
|
||||
if (chartOpts.ma) {
|
||||
ma21Series = chart.addLineSeries({
|
||||
color: c.ma21,
|
||||
lineWidth: 1,
|
||||
priceLineVisible: false,
|
||||
lastValueVisible: false,
|
||||
crosshairMarkerVisible: false,
|
||||
});
|
||||
ma55Series = chart.addLineSeries({
|
||||
color: c.ma55,
|
||||
lineWidth: 1,
|
||||
priceLineVisible: false,
|
||||
lastValueVisible: false,
|
||||
crosshairMarkerVisible: false,
|
||||
});
|
||||
}
|
||||
}
|
||||
return zoom;
|
||||
}
|
||||
|
||||
function isFollowingLatest() {
|
||||
var z = getZoomRange();
|
||||
return z.end >= 98;
|
||||
}
|
||||
|
||||
function mapSeriesData(bars, values, gapDay) {
|
||||
if (!gapDay) return values;
|
||||
return bars.map(function (b, i) {
|
||||
var v = values[i];
|
||||
if (v == null || b.timestamp == null) return v;
|
||||
return [b.timestamp, v];
|
||||
});
|
||||
}
|
||||
|
||||
function renderChart(data, preserveZoom) {
|
||||
chart.timeScale().subscribeVisibleLogicalRangeChange(function () {
|
||||
if (!chart) return;
|
||||
var range = chart.timeScale().getVisibleLogicalRange();
|
||||
if (!range || !lastData || !lastData.preparedBars) return;
|
||||
var total = lastData.preparedBars.length;
|
||||
followingLatest = range.to >= total - 2;
|
||||
});
|
||||
|
||||
resizeObs = new ResizeObserver(function () {
|
||||
if (!chart || !chartEl) return;
|
||||
chart.applyOptions({ width: chartEl.clientWidth, height: chartEl.clientHeight });
|
||||
});
|
||||
resizeObs.observe(chartEl);
|
||||
currentChartMode = mode;
|
||||
}
|
||||
|
||||
function applyPrevCloseLine(price) {
|
||||
if (!candleSeries || currentChartMode !== 'candle') return;
|
||||
if (prevCloseLine) {
|
||||
candleSeries.removePriceLine(prevCloseLine);
|
||||
prevCloseLine = null;
|
||||
}
|
||||
if (!chartOpts.prevClose || price == null || !isFinite(Number(price))) return;
|
||||
var c = themeColors();
|
||||
prevCloseLine = candleSeries.createPriceLine({
|
||||
price: Number(price),
|
||||
color: c.prevClose,
|
||||
lineWidth: 1,
|
||||
lineStyle: LightweightCharts.LineStyle.Dashed,
|
||||
axisLabelVisible: true,
|
||||
title: '昨收',
|
||||
});
|
||||
}
|
||||
|
||||
function setVisibleRange(prepared, preserve) {
|
||||
if (!chart || !prepared.length) return;
|
||||
var ts = chart.timeScale();
|
||||
if (preserve && followingLatest) {
|
||||
var span = DEFAULT_VISIBLE_BARS;
|
||||
try {
|
||||
var cur = ts.getVisibleLogicalRange();
|
||||
if (cur) span = Math.max(20, cur.to - cur.from);
|
||||
} catch (e) { /* ignore */ }
|
||||
ts.setVisibleLogicalRange({
|
||||
from: Math.max(0, prepared.length - span),
|
||||
to: prepared.length + 4,
|
||||
});
|
||||
return;
|
||||
}
|
||||
if (preserve) return;
|
||||
var show = Math.min(DEFAULT_VISIBLE_BARS, prepared.length);
|
||||
ts.setVisibleLogicalRange({
|
||||
from: Math.max(0, prepared.length - show),
|
||||
to: prepared.length + 4,
|
||||
});
|
||||
}
|
||||
|
||||
function renderChart(data, preserveRange) {
|
||||
if (!chartEl || !window.LightweightCharts) return;
|
||||
lastData = data;
|
||||
if (data.prev_close != null) lastPrevClose = data.prev_close;
|
||||
|
||||
var c = themeColors();
|
||||
var bars = data.bars || [];
|
||||
var times = bars.map(function (b) { return b.time; });
|
||||
var isLine = data.chart_type === 'line' || data.period === 'timeshare';
|
||||
var gapDay = chartOpts.gapDay;
|
||||
var followLatest = preserveZoom && isFollowingLatest();
|
||||
var dataZoom = getDataZoom(c, preserveZoom);
|
||||
var zoom = preserveZoom ? getZoomRange() : { start: dataZoom[0].start, end: dataZoom[0].end };
|
||||
var vIdx = visibleIndices(bars, zoom);
|
||||
var hl = computeVisibleHL(bars, vIdx.start, vIdx.end);
|
||||
var closes = bars.map(function (b) { return b.close; });
|
||||
var ma21 = chartOpts.ma ? calcMA(21, closes) : null;
|
||||
var ma55 = chartOpts.ma ? calcMA(55, closes) : null;
|
||||
var crosses = chartOpts.ma ? findMaCrosses(ma21, ma55) : [];
|
||||
var prevCloseVal = lastPrevClose != null ? lastPrevClose : data.prev_close;
|
||||
var showPrev = chartOpts.prevClose && prevCloseVal != null;
|
||||
var mode = isLine ? 'line' : 'candle';
|
||||
if (!chart || currentChartMode !== mode) buildChart(mode);
|
||||
if (!chart) return;
|
||||
|
||||
var grids = [
|
||||
{ left: 56, right: 24, top: 44, height: '50%' },
|
||||
{ left: 56, right: 24, top: '66%', height: '14%' },
|
||||
];
|
||||
var prepared = prepareBars(data.bars || [], data.period || currentPeriod);
|
||||
data.preparedBars = prepared;
|
||||
if (!prepared.length) return;
|
||||
|
||||
var xAxisType = gapDay ? 'time' : 'category';
|
||||
var xAxis0 = {
|
||||
type: xAxisType,
|
||||
gridIndex: 0,
|
||||
boundaryGap: gapDay ? false : true,
|
||||
axisLabel: { color: c.text, fontSize: 10 },
|
||||
axisLine: { lineStyle: { color: c.grid } },
|
||||
splitLine: { show: false },
|
||||
};
|
||||
var xAxis1 = {
|
||||
type: xAxisType,
|
||||
gridIndex: 1,
|
||||
boundaryGap: gapDay ? false : true,
|
||||
axisLabel: { show: false },
|
||||
axisLine: { lineStyle: { color: c.grid } },
|
||||
splitLine: { show: false },
|
||||
};
|
||||
if (!gapDay) {
|
||||
xAxis0.data = times;
|
||||
xAxis1.data = times;
|
||||
}
|
||||
|
||||
var base = {
|
||||
backgroundColor: c.bg,
|
||||
animation: false,
|
||||
tooltip: { trigger: 'axis', axisPointer: { type: 'cross' } },
|
||||
axisPointer: { link: [{ xAxisIndex: 'all' }] },
|
||||
grid: grids,
|
||||
xAxis: [xAxis0, xAxis1],
|
||||
yAxis: [
|
||||
{
|
||||
scale: true,
|
||||
gridIndex: 0,
|
||||
splitLine: { show: false },
|
||||
axisLabel: { color: c.text },
|
||||
},
|
||||
{
|
||||
scale: true,
|
||||
gridIndex: 1,
|
||||
splitLine: { show: false },
|
||||
axisLabel: { color: c.text, fontSize: 10 },
|
||||
splitNumber: 2,
|
||||
},
|
||||
],
|
||||
};
|
||||
if (!preserveZoom) {
|
||||
base.dataZoom = dataZoom;
|
||||
}
|
||||
|
||||
var series = [];
|
||||
var mainMark = {
|
||||
markPoint: buildHLMarkPoint(hl, c),
|
||||
};
|
||||
if (showPrev) mainMark.markLine = buildPrevCloseMarkLine(prevCloseVal, c);
|
||||
if (chartOpts.ma && crosses.length) {
|
||||
var crossMp = buildMaCrossMarkPoint(crosses, bars, c);
|
||||
mainMark.markPoint.data = mainMark.markPoint.data.concat(crossMp.data);
|
||||
}
|
||||
|
||||
if (isLine) {
|
||||
var lineData = mapSeriesData(bars, closes, gapDay);
|
||||
series.push({
|
||||
id: 'main',
|
||||
name: '价格',
|
||||
type: 'line',
|
||||
data: lineData,
|
||||
smooth: true,
|
||||
showSymbol: false,
|
||||
lineStyle: { width: 1.5, color: c.line },
|
||||
areaStyle: { color: c.area },
|
||||
xAxisIndex: 0,
|
||||
yAxisIndex: 0,
|
||||
markPoint: mainMark.markPoint,
|
||||
markLine: mainMark.markLine,
|
||||
});
|
||||
if (mode === 'line') {
|
||||
areaSeries.setData(prepared.map(function (b) {
|
||||
return { time: b.time, value: b.close };
|
||||
}));
|
||||
} else {
|
||||
var candle = bars.map(function (b) {
|
||||
if (gapDay && b.timestamp) {
|
||||
return [b.timestamp, b.open, b.close, b.low, b.high];
|
||||
}
|
||||
return [b.open, b.close, b.low, b.high];
|
||||
});
|
||||
series.push({
|
||||
id: 'main',
|
||||
name: 'K线',
|
||||
type: 'candlestick',
|
||||
data: candle,
|
||||
barMaxWidth: 14,
|
||||
barMinWidth: 3,
|
||||
itemStyle: {
|
||||
color: c.up,
|
||||
color0: c.down,
|
||||
borderColor: c.up,
|
||||
borderColor0: c.down,
|
||||
},
|
||||
xAxisIndex: 0,
|
||||
yAxisIndex: 0,
|
||||
markPoint: mainMark.markPoint,
|
||||
markLine: mainMark.markLine,
|
||||
});
|
||||
}
|
||||
|
||||
if (chartOpts.ma && ma21 && ma55) {
|
||||
series.push({
|
||||
id: 'ma21',
|
||||
name: 'MA21',
|
||||
type: 'line',
|
||||
data: mapSeriesData(bars, ma21, gapDay),
|
||||
smooth: true,
|
||||
showSymbol: false,
|
||||
lineStyle: { width: 1, color: c.ma21 },
|
||||
xAxisIndex: 0,
|
||||
yAxisIndex: 0,
|
||||
});
|
||||
series.push({
|
||||
id: 'ma55',
|
||||
name: 'MA55',
|
||||
type: 'line',
|
||||
data: mapSeriesData(bars, ma55, gapDay),
|
||||
smooth: true,
|
||||
showSymbol: false,
|
||||
lineStyle: { width: 1, color: c.ma55 },
|
||||
xAxisIndex: 0,
|
||||
yAxisIndex: 0,
|
||||
});
|
||||
}
|
||||
|
||||
var vols = bars.map(function (b) {
|
||||
candleSeries.setData(prepared.map(function (b) {
|
||||
return { time: b.time, open: b.open, high: b.high, low: b.low, close: b.close };
|
||||
}));
|
||||
volumeSeries.setData(prepared.map(function (b) {
|
||||
var up = b.close >= b.open;
|
||||
var val = {
|
||||
var c = themeColors();
|
||||
return {
|
||||
time: b.time,
|
||||
value: b.volume,
|
||||
itemStyle: { color: up ? c.up : c.down, opacity: 0.65 },
|
||||
color: up ? c.up : c.down,
|
||||
};
|
||||
if (gapDay && b.timestamp) {
|
||||
return { value: [b.timestamp, b.volume], itemStyle: val.itemStyle };
|
||||
}));
|
||||
if (chartOpts.ma && ma21Series && ma55Series) {
|
||||
ma21Series.setData(calcMA(21, prepared));
|
||||
ma55Series.setData(calcMA(55, prepared));
|
||||
}
|
||||
return val;
|
||||
});
|
||||
series.push({
|
||||
id: 'volume',
|
||||
name: '成交量',
|
||||
type: 'bar',
|
||||
data: vols,
|
||||
xAxisIndex: 1,
|
||||
yAxisIndex: 1,
|
||||
});
|
||||
|
||||
if (!isLine) {
|
||||
base.tooltip = {
|
||||
trigger: 'axis',
|
||||
axisPointer: { type: 'cross' },
|
||||
formatter: function (params) {
|
||||
var idx = params[0] && params[0].dataIndex;
|
||||
if (idx == null || !bars[idx]) return '';
|
||||
var b = bars[idx];
|
||||
var lines = [b.time, '开 ' + b.open, '高 ' + b.high, '低 ' + b.low, '收 ' + b.close, '量 ' + b.volume];
|
||||
if (ma21 && ma21[idx] != null) lines.push('MA21 ' + ma21[idx]);
|
||||
if (ma55 && ma55[idx] != null) lines.push('MA55 ' + ma55[idx]);
|
||||
return lines.join('<br/>');
|
||||
},
|
||||
};
|
||||
applyPrevCloseLine(lastPrevClose != null ? lastPrevClose : data.prev_close);
|
||||
}
|
||||
|
||||
if (preserveZoom) {
|
||||
chart.setOption(Object.assign(base, { series: series }), false);
|
||||
} else {
|
||||
chart.setOption(Object.assign(base, { series: series }), true);
|
||||
dataZoomBound = false;
|
||||
}
|
||||
|
||||
var title = (data.chart_symbol || data.symbol || '') + ' · ' + periodLabel(data.period);
|
||||
chart.setOption({
|
||||
title: { text: title, left: 12, top: 8, textStyle: { color: c.title, fontSize: 13, fontWeight: 600 } },
|
||||
legend: chartOpts.ma ? {
|
||||
data: ['MA21', 'MA55'],
|
||||
top: 8,
|
||||
right: 12,
|
||||
textStyle: { color: c.text, fontSize: 10 },
|
||||
} : { show: false },
|
||||
});
|
||||
|
||||
if (followLatest) {
|
||||
var span = zoom.end - zoom.start;
|
||||
chart.dispatchAction({
|
||||
type: 'dataZoom',
|
||||
dataZoomIndex: 0,
|
||||
start: Math.max(0, 100 - span),
|
||||
end: 100,
|
||||
});
|
||||
chart.dispatchAction({
|
||||
type: 'dataZoom',
|
||||
dataZoomIndex: 2,
|
||||
start: Math.max(0, 100 - span),
|
||||
end: 100,
|
||||
});
|
||||
}
|
||||
|
||||
bindDataZoomHL();
|
||||
setVisibleRange(prepared, !!preserveRange);
|
||||
}
|
||||
|
||||
function periodLabel(key) {
|
||||
@@ -603,9 +410,9 @@
|
||||
src = ' · ' + klineSourceLabel(lastData.source);
|
||||
}
|
||||
if (isTradingSession()) {
|
||||
el.textContent = '交易中 · 后台刷新 · SSE 推送(约1秒)' + src;
|
||||
el.textContent = 'TradingView 图表 · 交易中 SSE 推送' + src;
|
||||
} else {
|
||||
el.textContent = 'SSE 推送 · 非交易时段低频刷新' + src;
|
||||
el.textContent = 'TradingView 图表 · 非交易时段低频刷新' + src;
|
||||
}
|
||||
}
|
||||
|
||||
@@ -632,7 +439,9 @@
|
||||
if (data.prev_close != null) {
|
||||
lastPrevClose = data.prev_close;
|
||||
updatePrevCloseDisplay(data.prev_close);
|
||||
if (chartOpts.prevClose && lastData) renderChart(lastData, true);
|
||||
if (chartOpts.prevClose && lastData) {
|
||||
applyPrevCloseLine(data.prev_close);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -674,6 +483,7 @@
|
||||
|
||||
klineSource = new EventSource('/api/kline/stream?' + q);
|
||||
streamActive = true;
|
||||
followingLatest = true;
|
||||
updateRefreshHint(false);
|
||||
|
||||
klineSource.addEventListener('kline', function (e) {
|
||||
@@ -725,28 +535,22 @@
|
||||
|
||||
function shiftDataZoom(delta) {
|
||||
if (!chart) return;
|
||||
var opt = chart.getOption();
|
||||
if (!opt || !opt.dataZoom || !opt.dataZoom.length) return;
|
||||
var z = opt.dataZoom[0];
|
||||
var span = (z.end - z.start) || 20;
|
||||
var newSpan = Math.max(5, Math.min(100, span + delta));
|
||||
var center = (z.start + z.end) / 2;
|
||||
var start = Math.max(0, center - newSpan / 2);
|
||||
var end = Math.min(100, center + newSpan / 2);
|
||||
if (end - start < newSpan) {
|
||||
if (start === 0) end = newSpan;
|
||||
else start = end - newSpan;
|
||||
}
|
||||
chart.dispatchAction({ type: 'dataZoom', dataZoomIndex: 0, start: start, end: end });
|
||||
chart.dispatchAction({ type: 'dataZoom', dataZoomIndex: 2, start: start, end: end });
|
||||
var ts = chart.timeScale();
|
||||
var range = ts.getVisibleLogicalRange();
|
||||
if (!range) return;
|
||||
var span = range.to - range.from;
|
||||
var newSpan = Math.max(15, span + delta);
|
||||
var center = (range.from + range.to) / 2;
|
||||
ts.setVisibleLogicalRange({
|
||||
from: center - newSpan / 2,
|
||||
to: center + newSpan / 2,
|
||||
});
|
||||
}
|
||||
|
||||
function resetDataZoom() {
|
||||
if (!chart) return;
|
||||
var start = getDefaultZoomStart();
|
||||
chart.dispatchAction({ type: 'dataZoom', dataZoomIndex: 0, start: start, end: 100 });
|
||||
chart.dispatchAction({ type: 'dataZoom', dataZoomIndex: 2, start: start, end: 100 });
|
||||
chart.dispatchAction({ type: 'dataZoom', dataZoomIndex: 1, start: 0, end: 100 });
|
||||
if (!chart || !lastData || !lastData.preparedBars) return;
|
||||
followingLatest = true;
|
||||
setVisibleRange(lastData.preparedBars, false);
|
||||
}
|
||||
|
||||
function bindPeriodTabs() {
|
||||
@@ -758,6 +562,7 @@
|
||||
tabs.querySelectorAll('.period-tab').forEach(function (el) { el.classList.remove('active'); });
|
||||
btn.classList.add('active');
|
||||
currentPeriod = btn.getAttribute('data-period') || '15m';
|
||||
followingLatest = true;
|
||||
if (getSymbol()) loadKline(true);
|
||||
});
|
||||
}
|
||||
@@ -766,8 +571,8 @@
|
||||
var zoomIn = document.getElementById('chart-zoom-in');
|
||||
var zoomOut = document.getElementById('chart-zoom-out');
|
||||
var zoomReset = document.getElementById('chart-zoom-reset');
|
||||
if (zoomIn) zoomIn.addEventListener('click', function () { shiftDataZoom(-12); });
|
||||
if (zoomOut) zoomOut.addEventListener('click', function () { shiftDataZoom(12); });
|
||||
if (zoomIn) zoomIn.addEventListener('click', function () { shiftDataZoom(-20); });
|
||||
if (zoomOut) zoomOut.addEventListener('click', function () { shiftDataZoom(20); });
|
||||
if (zoomReset) zoomReset.addEventListener('click', resetDataZoom);
|
||||
}
|
||||
|
||||
@@ -778,29 +583,47 @@
|
||||
if (prevCb) {
|
||||
prevCb.addEventListener('change', function () {
|
||||
chartOpts.prevClose = prevCb.checked;
|
||||
if (lastData) renderChart(lastData, true);
|
||||
if (lastData) {
|
||||
applyPrevCloseLine(lastPrevClose != null ? lastPrevClose : lastData.prev_close);
|
||||
}
|
||||
});
|
||||
}
|
||||
if (maCb) {
|
||||
maCb.addEventListener('change', function () {
|
||||
chartOpts.ma = maCb.checked;
|
||||
if (lastData) renderChart(lastData, true);
|
||||
if (lastData) {
|
||||
destroyChart();
|
||||
renderChart(lastData, false);
|
||||
}
|
||||
});
|
||||
}
|
||||
if (gapCb) {
|
||||
gapCb.addEventListener('change', function () {
|
||||
chartOpts.gapDay = gapCb.checked;
|
||||
followingLatest = true;
|
||||
if (lastData) renderChart(lastData, false);
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
document.addEventListener('DOMContentLoaded', function () {
|
||||
initChart();
|
||||
if (!window.LightweightCharts) {
|
||||
if (emptyEl) emptyEl.textContent = '图表库加载失败,请刷新页面';
|
||||
return;
|
||||
}
|
||||
bindPeriodTabs();
|
||||
bindZoomButtons();
|
||||
bindChartOptions();
|
||||
|
||||
document.addEventListener('click', function (e) {
|
||||
if (e.target.closest('[data-theme-pick]') && lastData) {
|
||||
setTimeout(function () {
|
||||
destroyChart();
|
||||
renderChart(lastData, false);
|
||||
}, 80);
|
||||
}
|
||||
});
|
||||
|
||||
var active = document.querySelector('.period-tab.active');
|
||||
if (active) currentPeriod = active.getAttribute('data-period') || '15m';
|
||||
|
||||
@@ -812,6 +635,8 @@
|
||||
if (input) {
|
||||
input.addEventListener('symbol-selected', function () {
|
||||
lastPrevClose = null;
|
||||
lastData = null;
|
||||
destroyChart();
|
||||
updatePrevCloseDisplay(null);
|
||||
loadKline(true);
|
||||
});
|
||||
@@ -823,6 +648,9 @@
|
||||
updateRefreshHint(false);
|
||||
}
|
||||
|
||||
window.addEventListener('beforeunload', stopKlineStream);
|
||||
window.addEventListener('beforeunload', function () {
|
||||
stopKlineStream();
|
||||
destroyChart();
|
||||
});
|
||||
});
|
||||
})();
|
||||
|
||||
@@ -45,7 +45,7 @@
|
||||
<div class="market-chart-empty" id="market-chart-empty">请选择合约并点击「查看」</div>
|
||||
<div class="market-chart-loading" id="market-chart-loading">连接中…</div>
|
||||
</div>
|
||||
<p class="hint">数据来源:{% if ctp_connected %}报价来自 CTP;K 线历史由新浪补齐、最新 bar 由 CTP tick 更新{% else %}CTP 未连接时 K 线与报价回退新浪{% endif %}。拖拽左右平移、滚轮缩放;按住图表上下拖动可平移价格轴。可视区内自动标注最高/最低价。</p>
|
||||
<p class="hint">图表引擎:TradingView Lightweight Charts(红跌绿涨)。数据来源:{% if ctp_connected %}报价 CTP;K 线历史新浪补齐、最新 bar 由 CTP tick 更新{% else %}CTP 未连接时回退新浪{% endif %}。滚轮缩放、拖拽平移;勾选「间隔日」可压缩夜盘空白。</p>
|
||||
</div>
|
||||
|
||||
<style>
|
||||
@@ -104,7 +104,7 @@
|
||||
.market-chart-wrap{
|
||||
position:relative;border-radius:12px;border:1px solid var(--card-border);
|
||||
background:var(--card-inner);
|
||||
height:min(62vh,520px);min-height:360px;
|
||||
height:min(68vh,560px);min-height:420px;
|
||||
}
|
||||
.market-chart{width:100%;height:100%}
|
||||
.market-chart-empty,
|
||||
@@ -134,6 +134,6 @@ html[data-theme="light"] .market-chart-wrap.loading .market-chart-loading{backgr
|
||||
{% endblock %}
|
||||
|
||||
{% block extra_js %}
|
||||
<script src="https://cdn.jsdelivr.net/npm/echarts@5.5.1/dist/echarts.min.js"></script>
|
||||
<script src="https://unpkg.com/lightweight-charts@4.2.0/dist/lightweight-charts.standalone.production.js"></script>
|
||||
<script src="{{ url_for('static', filename='js/market.js') }}"></script>
|
||||
{% endblock %}
|
||||
|
||||
Reference in New Issue
Block a user